From 8aac84b38e5f09a6af89e6e6dae76972650d9d4b Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Mon, 4 Dec 2023 11:28:39 -0800
Subject: [PATCH 01/34] Create 2023-12-07-semantic-options-benchmarks.md

initial draft of the blog

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 .../2023-12-07-semantic-options-benchmarks.md | 161 ++++++++++++++++++
 1 file changed, 161 insertions(+)
 create mode 100644 _posts/2023-12-07-semantic-options-benchmarks.md

diff --git a/_posts/2023-12-07-semantic-options-benchmarks.md b/_posts/2023-12-07-semantic-options-benchmarks.md
new file mode 100644
index 0000000000..6eb36b7b1d
--- /dev/null
+++ b/_posts/2023-12-07-semantic-options-benchmarks.md
@@ -0,0 +1,161 @@
+---
+layout: post
+title:  "Semantic Search with OpenSearch: Architecture options and Benchmarks"
+authors:
+ - sean-zheng-amazon
+ - zane-neo
+date: 2023-12-07
+categories:
+ - technical-post
+meta_keywords: semantic search engine, neural search engine, keyword and natural language search, opensearch architecture, benchmarking tests
+meta_description: In this post, we’ll introduce several different ways of configuring OpenSearch clusters for semantic search, explain in detail how each approach works, and present a set of benchmarks to help you choose one to fit your own use case.
+has_math: false
+has_science_table: false
+---
+Unlike traditional lexical search algorithms such as BM25, which only take keywords into account, semantic search improves search relevance by understanding the context and semantic meaning of search terms and context. In general, semantic search has two key elements: 1. Embedding generation: A machine learning (ML) model, usually a deep neural network model (for example, TAS-B) is used to generate embeddings for both search terms and content; 2. k-NN: Searches return results based on embedding proximity using a vector search algorithm like k-nearest neighbors (k-NN).
+
+OpenSearch introduced the k-NN plugin to support vector search in 2019. However, users were left to manage embedding generation outside of OpenSearch. This changed with OpenSearch 2.9, when the new Neural Search plugin was released (available as an experimental feature in 2.4). The Neural Search plugin enables the integration of ML models into your search workloads. During ingestion and search, the plugin uses the ML model to transform text into vectors. Then it performs vector-based search using k-NN and returns semantically similar text-based search results.
+
+The addition of the vector transformation to the search process does come with a cost. It involves making inferences using deep neural network (DNN) language models, such as TAS-B. And the inferences of these DNN models are usually RAM and CPU heavy. If not set up correctly, it can result in resource consumption pressure and impact the health of your cluster. In the rest of this post, we’ll introduce several different ways of configuring OpenSearch clusters for semantic search, explain in detail how each approach works, and present a set of benchmarks to help you choose one to fit your own use case.
+
+Terms
+
+Before we discuss the options, here are the definitions of some terms we’ll use throughout this post:
+
+* Data node: Where OpenSearch data is stored. A data node manages a cluster’s search and indexing tasks and is the primary coordinator of an OpenSearch cluster.
+* ML node: OpenSearch introduced ML nodes in 2.3. An ML node is dedicated to ML-related tasks, such as inference for language models. You can follow these instructions to set up a dedicated ML node.
+* ML connector: Introduced with ML extensibility in 2.4 (experimental, GA in 2.7), an ML connector allows you to connect your preferred inference service (for example, Amazon SageMaker) to OpenSearch. Once created, an ML connector can be used to build an ML model, which is registered just like a local model.
+* Local/remote inference: With the newly introduced ML connector feature, OpenSearch now allows ML models to be hosted either locally on data nodes or ML nodes or remotely on public inference services.
+
+Architecture options
+
+OpenSearch provides multiple options for enabling semantic search: 1. Local inference on data nodes, 2. Local inference on ML nodes, 3. Remote inference on data nodes, and 4. Remote inference on ML nodes.
+
+Option 1: Local inference on data nodes 
+
+With this option, both the Neural Search and ML Commons plugins reside on data nodes, just as any other plugin. Language models are loaded onto local data nodes, and inference is also executed locally. 
+
+Ingestion flow: As illustrated in Figure 1, the Neural Search plugin receives ingestion requests through the ingestion pipeline. It sends the text blob to ML Commons to generate embeddings. ML Commons runs the inference locally and returns the generated embeddings. Neural Search then ingests the generated embeddings into a k-NN index.
+
+Query flow: For query requests, the Neural Search plugin also sends the query to ML Commons, which will inference locally and return an embedding. Upon receiving the embedding, Neural Search will create a vector search request and send it to the k-NN plugin, which will execute the query and return a list of document IDs. These document IDs will then be returned to the user.
+Figure 1: Local inference on data nodes
+
+Option 2: Local inference on ML nodes 
+
+With this option, dedicated ML nodes are set up to perform all ML-related tasks, including inference for language models. Everything else is identical to option 1. In both the ingestion and query flows, the inference request to generate embeddings will now be sent to the ML Commons plugin, which resides on a dedicated ML node instead of on a data node, as shown in Figure 2.
+Figure 2: Local inference on ML nodes
+
+Option 3: Remote inference on data nodes 
+
+This option was introduced in OpenSearch 2.9 with the ML extensibility feature. With this option, you use the ML connector to integrate with a remote server (outside of OpenSearch) for model inference (for example, SageMaker). Again, everything else is identical to option 1, except the inference requests are now forwarded by ML Commons to the remote SageMaker endpoint through an ML connector, as shown in Figure 3.
+Figure 3: Remote inference on data nodes
+
+
+Option 4: Remote inference on ML nodes
+
+This option is a combination of options 2 and 3, so it still uses remote inference but also uses a dedicated ML node to host ML Commons, as shown in Figure 4.
+Figure 4: Remote inference on ML nodes
+
+
+Each of the four options presents some pros and cons:
+
+* Option 1 is the default out-of-the-box option, it requires the least amount of setup configuration, and the inference requests are organically distributed by OpenSearch’s request routing. But running ML models on data nodes could potentially affect other data node tasks, such as querying and ingestion.
+* Option 2 manages all ML tasks with dedicated ML nodes. The benefit of this option is that it decouples the ML tasks from the rest of the cluster, improving the reliability of the cluster. But this also adds an extra network hop to ML nodes, which increases inference latency. 
+* Option 3 leverages an existing inference service, such as SageMaker. The remote connection will introduce extra network latency, but it also provides the benefit of offloading resource-intensive tasks to a dedicated inference server, which improves the reliability of the cluster and offers more model serving flexibility. 
+* Option 4 adds dedicated ML nodes on top of remote inference. Similarly to option 2, the dedicated ML node manages all ML requests, which further separates the ML workload from the rest of the cluster. But this comes with the cost of the ML node. Also, because the heavy lifting of the ML workload happens outside of the cluster, the ML node utilization could be low with this option.
+
+Benchmarking
+
+To better understand the ingestion/query performance difference between these options, we designed a series of benchmarking tests. The following are our results and observations.
+
+Experiment setup
+
+1. Dataset: We used MS MARCO as the primary dataset for benchmarking. MS MARCO is a collection of datasets focused on deep learning in search. MS MARCO has 12M documents, with an average length of 1,500 words, and is  approximately 100 GB in size. Also note that we have truncation set up in models to only use the first 128 tokens of each document in our experiments. 
+2. Model: We chose sentence-transformers/all-MiniLM-L6-v2 from a list of pretrained models supported by OpenSearch. 
+    1. All pretrained models support truncation/padding to control the input length; we set both at 128.
+3. Cluster configuration: 
+    1. Node type: M5.xlarge (4 core, 16 GB RAM)
+    2. To ensure an apples-to-apples comparison, we configured all cluster options to use the same type and number of nodes in order to keep the cost similar:
+        1. Option 1: Local inference on data nodes: 2 data nodes, 1 ML node
+        2. Option 2: Local inference on ML nodes: 3 data nodes
+        3. Option 3: Remote inference on data nodes: 2 data nodes, 1 SageMaker node
+        4. Option 4: Remote inference on ML nodes: 1 data node, 1 ML node, 1 SageMaker node
+4. Measurements
+    1. Query latency/throughput
+    2. Ingestion throughput
+    3. CPU/RAM utilization
+    4. Inference latency
+    5. Remote inference overhead
+5. Benchmarking tool: We used Opensearch Benchmark to generate traffic and collect results.
+
+Expriment 1: Ingestion
+
+Ingestion setup
+
+Number of clients	8
+Bulk size	200
+Document count	1M
+Local model truncation	128
+SageMaker model truncation	128
+Local model padding	128
+SageMaker model padding	128
+Dataset	MS MARCO
+Dataset link	https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/msmarco.zip
+
+Experiment 1: Results
+
+Case	Mean throughput (doc/s)	Inference p90 (ms/doc)	SageMaker inference p90 (ms/req)	SageMaker overhead p90 (ms/req)	e2e latency p90 (ms/bulk of 200 docs)
+Option 1: Local inference on data nodes (3 data nodes)	213.13	72.46	N/A	N/A	8944.53
+Option 2: Local inference on ML nodes (2 data nodes + 1 ML node)	72.76	67.79	N/A	N/A	25936.7
+Option 3: Remote inference on data nodes (2 data nodes + 1 remote ML node)	94.41	101.9	97	3.5	17455.9
+Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + 1 remote ML node)	79.79	60.37	54.8	3.5	21714.6
+
+Experiment 1: Observations
+
+* Option 1 provides much higher throughput than the other options. This is probably because ML models were deployed to all three data nodes, while the other options have only one dedicated ML node performing inference work. Note that we didn’t perform other tasks during the experiment, so all the nodes are dedicated to ingestion. This might not be the case in a real-world scenario. When the cluster multitasks, the ML inference workload may impact other tasks and cluster health.
+* Comparing options 2 and 3, we can see that even though option 2 has lower inference latency, its throughput is much lower than with option 3, which has a remote ML node. This could be because the SageMaker node is built and optimized solely for inference, while the local ML node still runs the OpenSearch stack and is not optimized for an inference workload.
+* Remote inference added some trivial overhead (3.5 ms, SageMaker overhead). We ran our tests on a public network; testing run on a virtual private cloud (VPC)-based network might yield slightly different results, but they are unlikely to be significant.
+
+Experiment 2: Query 
+
+Number of clients	50
+Document count	50k/500k
+Local model truncation	128
+SageMaker model truncation	128
+Local model padding	128
+SageMaker model padding	128
+Dataset	MS MARCO
+Dataset link	https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/msmarco.zip
+
+Experiment 2: Results
+
+Case	Mean throughput (doc/s)	Inference p90 (ms) (per doc)	SageMaker inference p90	SageMaker overhead p90	e2e latency p90 (ms)
+Option 1: Local inference on data nodes (3 data nodes)	128.49	37.6	N/A	N/A	82.6
+Option 2: Local inference on ML nodes (2 data nodes + 1 ML node)	141.5	29.5	N/A	N/A	72.9
+Option 3: Remote inference on data nodes (2 data nodes + remote ML node)	162.19	26.4	21.5	4.9	72.5
+Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + remote ML node)	136.2	26.6	21.6	5	76.65
+
+Experiment 2: Observations
+
+* Inference latency is much lower than in the ingestion experiment (~30 ms vs. 60–100 ms). This is primarily because query terms are usually much shorter than documents.
+* Externally hosted models outperformed local models on inference tasks by about 10%, even considering the network overhead. 
+* Unlike with ingestion, inference latency is a considerable part of end-to-end query latency. So the configuration that has the lowest latency achieves higher throughput and lower end-to-end latency.
+* The remote model with a dedicated ML node ranked lowest in throughput, which could be because all remote requests have to pass through the single ML node instead of through multiple data nodes, as in the other configurations.
+
+Conclusion/Recommendations
+
+In this blog post, we provided multiple options for configuring your OpenSearch cluster for semantic search, including local/remote inference and dedicated ML nodes. You can choose between these options to optimize costs and benefits based on your desired outcome. Based on our benchmarking results and observations, we recommend the following:
+
+* Remotely connected models separate ML workloads from the OpenSearch cluster, with only a small amount of extra latency. This option also provides flexibility in terms of the amount of computation power used for making inferences (for example, leveraging SageMaker GPU instances). This is our recommended option for production-oriented systems. 
+* Local inference works out of the box on existing clusters without any additional resources. You can use this option to quickly set up a development environment or build PoCs. Because the heavy ML workload could potentially affect cluster query and search performance, we don’t recommend this option for production systems. If you do have to use local inference for your production systems, we strongly recommend to use dedicated ML nodes to separate ML workload from the rest of you cluster.
+* Dedicated ML nodes helps improve query latency for local models (by taking over all ML-related tasks from data nodes), but they don’t help much with remote inference because the heavy lifting is performed outside of the OpenSearch cluster. Also, because ML nodes don’t manage any tasks not related to ML, adding an ML node won’t improve query or ingestion throughput.
+
+References
+
+* Configuring an OpenSearch Cluster for Massive Scale Semantic Search
+* https://opensearch.org/blog/semantic-search-solutions/
+* https://opensearch.org/blog/semantic-science-benchmarks/
+* https://opensearch.org/blog/Building-k-Nearest-Neighbor-(k-NN)-Similarity-Search-Engine-with-Elasticsearch/
+* https://opensearch.org/blog/similar-document-search/
+
+

From b80724a336dee7a71fd325ec3be8b27c0317a492 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Mon, 4 Dec 2023 15:34:12 -0800
Subject: [PATCH 02/34] Create test.png

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 .../blog-images/2023-12-07-semantic-options-benchmarks/test.png  | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 assets/media/blog-images/2023-12-07-semantic-options-benchmarks/test.png

diff --git a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/test.png b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/test.png
new file mode 100644
index 0000000000..8b13789179
--- /dev/null
+++ b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/test.png
@@ -0,0 +1 @@
+

From 756f4129a63bef64813858a8b30a0bf127bd8618 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Mon, 4 Dec 2023 15:34:41 -0800
Subject: [PATCH 03/34] Add files via upload

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 .../semantic-options-1.png                      | Bin 0 -> 73346 bytes
 .../semantic-options-2.png                      | Bin 0 -> 33099 bytes
 .../semantic-options-3.png                      | Bin 0 -> 42443 bytes
 .../semantic-options-4.png                      | Bin 0 -> 49175 bytes
 4 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-1.png
 create mode 100644 assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-2.png
 create mode 100644 assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-3.png
 create mode 100644 assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-4.png

diff --git a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-1.png b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-1.png
new file mode 100644
index 0000000000000000000000000000000000000000..4d0c9e6b89acf02d146b2e6fd833769812b7ba95
GIT binary patch
literal 73346
zcmb@uby$>J)HggdNH+-5okK}DfRuE1cS)CkbV@gp0@9t*DBUF>(p`cg-Syt%DWCJ6
z=X?M8=Dy~d&E9+M-fOMjTI(iUNkJ0*(c?!T5C~mbN?Zj5f|CG&V4fqx0y(#h&pm)2
z7#9^uQBdU==`N6VHP@21ke3HB0R_k)L>L?p9JC7XfM6bj5PqdWAPpFjztaXV41d-E
z+JxZ*L0iTHz7}t+LGXXpe+~RXKT^OKXz7n%PB15z00*Z4n45xwM}UJ%fSVfx!i)of
zkboNSU`|esIJm!BgW-;Y|2r)ehxIEB)PvEB!~Q#M7Kih9+BP2Mk9J^S;Xny-zw+Uq
z@^OO_;(tpg{FBc4t6vT<I0xpRS?9q1H48Y29Js&IFwgT5|EvQH7W(<G+5A@?E0|9J
z3<iPz{Tof8VG1;Z;wYu<0s^7pLccJe^h_dPTm{x@TCQ61ass9fc5KFG4kqSo9(Inu
zx`lWM07*M@S7QnfJ6n4f0S`f{Uo`}PG&Gx?isDxlR~tbpEqNshF$ZUJil=N~HZYaY
zBMJ%%h_ji6fQtBwKgof=1gWfCT^$A3+1=gU+1$C<9GorLIr#bc*}<IboSdvc4OSOV
zdskx*R(lufKN|U~9dUCPQ)g>OS8E4*3TV5=CJt_{f>cz{j{g4qF-~(2>wkK(clmQ#
zzy#T$CF~q*VD|qa119_T`2Gi#hq2@TO5|we;OgLF<?z3d{$2dPHehD@cc+eS&bGgn
z#LSf4+}7OA+}_m%pyT+@(Yjh&{4bM)mi*D(uU+_KaUjsC3n*E8nA>WLTLVqI01GL^
z#R-P|T9p5*<ez2zgHqAL!o}QG4WJbI<9Pi^_gntINmNbE?ajrE9bMg=&DA^|&4vEz
z>;EeFH|0N#id$P+yIQ|CH~Zgu{inje8<7AetYPl_Yo5>>|L1^z&;B=wn1ii@v#O)9
zskzW!)ql(ScWqTS6Blz+=#u<12!IXz+0TEK{<{S+2Rlaxd+0WcIoMlRTe>+LL(lhb
z+XigjuUn*Q?({!%|0=Mxh7J{aA%N6B?f<#yf97-kKWlLPKWhM+_g}sIk^4V~_vZ@y
zzi0Q`q15{4Q1Wr{{@KE><N904KlA&8@`bIjixp7m?`;Mc?4P9nF8Vj=Kii||44g50
zV_TvB+Pl9C|4skT5&gT$|8g(>F8_BE{|w<jyZ&uAApmO<kasY%w(t};b~P7*GJjSM
zPF66t+F#-g!v3#1zx4(!5py;NDF45yf2;Ew_1`Q^080Hw9kc%$!e8_MZ-U=iG&2=&
zaWi>oZtD8m9RE7dqQ;i&zhy(%|Fbp(%H#x8%v~I8-Jn-S-QL<&2sq~dmHk`Kzlyc~
zArs>Li{|&te-mi`7s2nD|0V#o9Jthf+-2Z){_6Gjyg%#zad&<bY`^CHM=l^Xg&qN$
z`j-e6dZhG?M;Zir4w4oZQS*TLvE=S=AyM=65YvSK4^O-cwkw%|&N+c4!UTjM(h-Jo
zmdijv6$pc!gjO4wfQJt@F(L%#h8f^8SrbY;M+@WsezD-0!}kgImHYNPV~e7j*erqR
zY4z#pCAZRUPs{L!+a2MDssf9E|M@W51bE45k7lfo!v4?ag!S`!^HYp;gx{aS1_T`l
zZ~aY`^$N@9-yfhV;_nsH5&nOu3MSrYzNIlZ_PgC67uYp?xYl&T_l__EQC{AxJlr4n
zJ+vN1w8WN>$xVRr@n|o?=njP+uErCz9R1hzdh#Vr)UBV_L7$GKYEV0&Alw&fGvlF<
zJ|x74#`Zf_Zci4!S&6qN!BJH|YZ0hBAh&`VT@|R3;_<y(p~ei@o7fcUONiX4a^$FT
zEgoZ;dM4qta>pZ+UMn}tt6s||SuHfFSpM=lQzS4WK0jTuy%smfN>T?i`{lgAkDGOR
zNpl2f#x9w!r?T%)XWH-aqb?0DS~S~|CqFB};iO68!;}y~h`Phz8o&HnNbnWwXLO$?
zp4eNW`k<Yy%1_sOhPUg4M{#=O<i!k07atFNl>2ZCO-Soi<Y*+mc}k&-X!g5=dOE|u
z?0nc__hZxmrGk-qwqA=9Ymf?gCn*md;k;>&n1FYZ9fh45g-vA3k_A~tq_?p9?8;uu
z+pwQ}#TympNgFkb4c{BFe7+c*rTPe0cwM<y&Wi}m7<8NsoESnqN0DZ@%mQ3R$WbSz
z?_u*!)=jyk;CG(`FLKUhCg%<LE*JwU35+}{zQ->XpL-7faRv%Q5j-SfVk(_%oL;xh
zwXWR#EJ!hUy<b0L;Cr=2ejN8E^VPidbe6bL8#yN!BccBbI<W(3b~tE<DpWj*(;jyY
zy2eOChXI!F+`gV<U9_3T@Y9uhxG6tgABYI$+kl&+PRZ89yZ$Wx<}EL(9P_UYI(-^2
zs^t&AiaK&AXA91k?0g%J{&e3hb$4IcdJ*14iiqF-)qJ2b_Vyd$+qLh853et)WhNwr
zuazm6mc0&q+HaOHdCij7WmE`j-12iFuvq=Ng9s_=WiWr-i^N4(C;QA)@#$kXNixs;
z&oaKFJTtdf<9<SCUsNv^9NITxg~>$p$ld#iWfseO&I%Y5NO<8_Vfr3m4;xF6;o_R?
z>*IX3xw1WXo~>N16Sfoaau5d=Q_6_>H@6&}aHIL7K`5>&DR9cTVaT8Vxo7r^mI~>`
zAeZIEr)i4(TS-9}0^bnWJvwWL*;-G=o;}=OwDYb(uZKhX-MLL=GhLA>$w6U;ec<gm
zaKw{}Am+_mZx<}Hed3O&+pk6)zW98}BdfpOD>HPRkZ{=<^VzpC^xBB#6}o61=h+Yc
zyrq$Ac(<o{m89r*Jw?-{1bV1wT)sBO^qR%ZzU*=EJ;`9mK8mvRzCX!sf4Dn%0M3MC
zUi4F(*|qA2`y0PK)$9l)#v-nzP-Pnj=*9a||2&iR4ma^A^Uaf2sUAPg*}dkXh`Cst
z+!yS4iNd`gSDT5keCx<$ICm)YnMUr>7aJD*Ym!38@wX=zpDqLyGMF1yUj3-)7rGi$
zTy~q$7e0NDN!k7Iqi)<67{fSMnF8B^&zyNmI3au6VONjcF^PRs0Eywtl7g($e0qJS
zUi_E*Px&8iPhgJGc^Bh~5Zc%At1dU`g$KDd<T(5<70*f*u;ouI0&293CVO4Bo5NrF
z!fwuQPoR_-*;LejU4POPo);@L|7FQER#3yhb1N@KKqks<*>fkn^8WCRaOy)Wu>688
zC!I(~gmo69*S~JbxR3pc&xOzYR2H339Twj56Ys-LJ(b0XSqzs97YKqABrvz4VSY~p
z^K~3@?3;PxH&6IjiZJ<@(*?cG8$X>@Fjuurj%DkAoYv5_WAXXC_Y{>Icota+R;6&$
zoEkv<NSAr!cVV2m_RX|fkCr#=8kb((>^JJ78M-gIO%Sl0<H%}%zrUVoe`V2f|9m|{
zUy{J<o$vK-)$8f9uiBPRd}j+EJB`_~c6n}-#vXtCUfKH7CF>+po_C3RY=w5)u3@fk
zJJXG`!JFOkXUB!C;WduA(EU-YuD&ek{YV<ujFu_7fMqL&3nS`rYj3K&Rb9uDO~4h&
zmqeztowPXr5yj@|+3gI6`)%I#v{LWUvl+vOy6n3s@)}pJ{S<8rVkaWQ4%MbT%5ARw
z{mrz!#^u-F+dNM$DO~R59bQlMkvK#xM`K|xY>-{>EjBUXBbb@gt83~{_mMfpxonSI
z0o=}-ao42ZBE#++U=IDuS^LkK)yk7f@1q^OH()S5I;hExke~Uz4BvMa@lctoW1RYf
z#bzS#u`P2JKu9_WW*q!(bUl`%a4RD){Vux&=UX<&@I&}Aj0r~cYH)GBZvtz2KEgG=
z$=YnfeLj9^4F87Qx5-5}lfC`+I8i|$JaH#tE7o(wl<fNR8=>=>*sZ>alRiR2@1s%P
z74K<v%{jtNuO$nD!Tk?Y3bzkV{ZDo%BzmMsP4Lx=gf*Pqtfd5P7ufXO^xz6(5$Klg
zGfRjRjeP^p;GgSQ7bI_z$vZRGvHM*OcU8&F(?ix!K=pih;q;tk{MbE<Z@M+=o}gpc
zkA-(syIDN8w_2}TN2S<6t^9bdV<QtOnn}5T1>EBHT2VJ-8_O~0&$+6Q{xd#gWF(<V
z50eFzKZGJpBPgZUWhg{MEm;?$i`MPv3Z7Ft`BwOdo>2xhEwfCmG~(H-w#wW~;|1$i
z$JJZ5SH|4lB^|Q17a{E4Fss-Fdsb>G^Z{!Q&07TAV=r(rDG8RfBXraJ0RD!J_i3A_
zs`+$Mw*9=mY9C-%R$&^-3eq~p2#6oPuz;6Xz`N_sJ&G-qiHS%Y{9DcGeF$dO-zKtz
z9}h}1Ksua9^?4W02;$E-<t_mhJs~Qf5Zv$CO|ndZj2qW0?+7zJ*X%|qN5gFW@$Bn{
zkO!5maXCBhtPz~9Qw(A`q1_k$Cs-red^#co<UI(yIoi<2C_&fXB{CESUd+2>iF07w
z_q;AMzxR-TCv#&yTy|vKdz-7-5DD8U%ey`gNBymyvvlRSahR#bpy<pfzpoZHVFa9g
zWq;TX%}mZ<mx!AO_o5esUdws$2oUgU*lqm>z89@*%nMg8w0#nm?iQB@F&7E4Y)<XX
zUtVOpi+c>|z9dMsCrEWY$_%%|ppW7b<|pJbgh#aAbB4)f<33+t`2q+$%-f?_KgedB
z7*=uZAYDe&6dh#)*TK&ai7b_ieGM&RgcL{hP4m;5EmH_`76e0tk9xb56Si7(b=BYX
z;^d2SnI^WwI<I`gtO+W!RE9U(WcWT<TEe+#0rYa;j=+i_wS{1HE5Gs{@*epItAl6c
zcjlkn+9cGgvaE(H=M9Zc15ZafesV`H^jOMN<X$~DCKm$Ku9;?;XD|7yI+)hdwUm^;
zy~))}6&q1+F+x&WdPjgkYMGQ!!S@FI>4QI>>QF_2Q(=%H<!aiy5ei4z`2cCn6GT8n
zyP(QVUQ!>W5!?40V9p6AX6)rMb7_~5I0$j#kMrY<CS$ad?d*j*Xv#a+m(%f6k9A!X
zv3<Nc9P<1wYjBK1;;@KL_cf=9a@A?GOPuPGVno7YF`AwA^G)B&{wMCPYt)?uOMLfZ
zua%RFgw9IzGHht~N{P_7Sb2VNPB|3Ruwt50XR87*A-(If!wxtff$h)TZ%jnlE*89p
zhAeeDsTxEH(&i{PnD)ngF1yLksg=T#KYiCfs7>j!-WahyDdux&6H2bfXuR8wkL^`0
z+55W5Pbsn+FZOEg=X8~CJwn4--OXn>0XAd&3aXXw6G*s30)%YuNT6D><Ba*Nv<d2c
zS5l!I2sg`xBcS&c$fFWI0kxWU`#xCGMufbDN~$DLgOIN_6m{FZ{pQ^;xe2>>QxpsQ
ze(@2ZnFJOM5lm>Oe@!hK{xfF|W$CkHC9w22%1+8w+@<?Jq=Otf>Y*3j)@iPNv&ahV
zp~E^CVVDp3s}2~Xu#YVEp8AoSSp8hOnm3E;vpWVdR!OCiMUtN;+|j-+c>QdqkLuYP
z+6V~mrV$WFSI9t)bga!cDbVN%5nC;uIJO9|whxdd98a61V`7gZW>b(!#m^tqb6G&l
zc=t5p<b19C%64XVSWON;mS0w#*VY&(IvFpO50AfTpaXv`fVR9T|FQ(^glwaWaRSMu
z6!b=X`Jw!eJ2|A~fAM{9{>=7p>$-`rgz9NM&Iggg*Ac5%BcytlF`Wm=mm$sBx1010
zTS^*Q7W&bBc`Ycrj<QJ_zWCiN`5U)u%u#t}nmf=lW{E1-ck&fpJ+0=r3B`p7D;9Tl
z`q2fG_qXbCp_`_?PE;u?HIBh%95brwj^idYUlBj%WYmEc2sXurVH0LxE+{`(ohcNP
zNF<QIfI;xZwJVui#XeN|QyqpS)x@diZ>&6assr0I<w>*PzsZy&i@i`SE20|0qgC2a
zz@D`}=`5$luHGZ9YDp#3&74+wq$GjOOClMKC}coL7SNLV{IzWfFl!2c2i&+!a}+Yq
zM)4HL-;cOR4Vn(T7A+3eSd2r-Zn=fk(nmoQ(SkARz%OR(C05C5*?fc)N$;?pmFYl{
zl)%i+(-XqB8IQk`U;HPWV>AvBS3Ziviy=V+y~Pn8++ZEHEFBPhI~B?M0y7M$;pte!
zV`3V@^jyB_N)|}7s@q03zQm&;Bhb;TQv+?;7mWg-A?O}I9-nqaFnj#H2wrO!+=+XT
zQ>-WEuQo#F+i2tYC^qf(ebh=k{VH?dC3dU|)l*34z@~n<=MO5`w90S54nUO@ISbUD
zaEWebn_GjfTE1y#d;iPL)s2Yh5Eh{}t5`#cIQ%Ld?4H)pp#D;1HcZmmq&|E?q|?rx
z0zz{*05sMi&{;!x-?iq~fBbbo{$Skz^Nwc$6CaGTs=z&V`X#>pKz4wN$=&!oa;NYL
zWHssl@VCF7)MEmxqs63yuCM;T<6U5m1mp52FrU+Z$FJZmDAr|M390x~*Z)J~pIU@v
z&C1w@%i(GNZ7fDZx;ecrs-IAGf${$H6gESV@hH-B8{gl?*OByVbl!vw0FeCW0odUO
z5BqdX|F5^dkB-p+I=U-1TlBxC0sT$ghE9c>98_`jJ3?1ohK}x7fA;b3KpZ>@or<*(
zNarNu_tCXMN4M2l&GXlS{*s94x~m3LZFjg|Z~Xvm`l4mV+vWj4MlCyn2imdVhs%Cp
zJl2{XoK?Svo0W^EenBWGm1X~Us=IRi6;RJV0{Z6`0Bz3zG=71i>L!EQGVb&91ki_E
zlhrk}z4q$?&_Hkh>1zAoMEIdQ-}(!*o7uU%82_q%#-+VN@4AlD5B|iXmdC~Em~Z9w
zJe02#eUB5NdXFZcYeN;YW|y7&pYH88F|M0VIN#ql16Z<ggmajsanbpEc^!u2H5BBW
zO>0^jV7NGv1$o6U-7H^dH2TMz*H3=ZHS%3KeP?aTmyckwXAd%d?2*JtZr{4!kj7=1
z<ub<Kez)%cRXzb|;0P!Zx&S&&(SJ496DU?|H&BTnZVkmufO6bI4y=XY)sQAz>yKIh
z%3e1E^90o5$%3~!GK5lSY&*^AE4%5HodB;GgViSL_v?H2vTMI_#dqGi$mfSCc^%HO
z^Dry#f^A(tpevRE%6~Wc{h_$8YGoR3)ge^G>N<Qp161aQqQg-KUzf2=e$rhi@bx*L
zlguP!mnqW{+6#cW-RrSgpy`8dd{ewplPndNjrf9;k(i&a_YnZs*D(D&E?QT7MmYLY
zS%Fc12jBxjS~VON=PB5(A!^aMyvIbpiZ%ZR*rC&jSl?5101!a;5(%;jV+9UZPjfX3
zt@r>OcB4rh3g23bQ^Wh?l*W(ycKzgj5ccaX!cR(I&2-&eo(Ju(L>NZ268aCj*f@Rh
z6Hvs)HO99A)xSxW4@05YeF?Xy?Mv{?Z7DbDLnyf>DtBvandgCty$sP7UB}A(Id5m?
z!~w_H08NcI0AL@iWOwru6`aM9+25;?r%A(t^C%A1XLH`OV9j(ZoiF1o)X<Zk`aN9u
z1#Ty68W4}<L!Jc^jG&u$h1w9LauN)PKh2|6U4RErso%rWfiEGc<Pb{gE-CConvwa?
zhy9;QNyMhbq;hpxGgvhGPv^`M6BUK7(rqf8Z1-^@@j1(6WKLAdWW_y=m!9k?x~JLs
z*^5d(C*a^gkGj!pzn<3AbLyRtBp<y|>eWl2XMo8OPvl2ryA5U%EC@!&n3#>$j7W4&
z+wOqF^zOpV>flJeNK@Ij8G_2@Me_g;iSL_t=L_S4%>aIU8OhqP3T~FUid$Z-972C=
z22;as%K0wg=l4)lb2&!D9jX1vW=%^tSPsLXPNq>*d#stzR0=4^2t?DTUJm9s9fg@`
z)05OP4#Bq=O_xC7>NHnTrE+>Puxj(Na|O7V?<m}g%2O|&C`e8spR>Tx<tIM-az8ij
z`|AE`=f)YfGs(_IwN2ZoMYqGdQUCOZrLb2)vPLa^3RXTWcEJ|Xh^u2;r)%SU*nSl+
z9uuNjjr~~Y2=jK3E8`V_%^(+xF8Xq(uLH+Pm`<r5S%++x1iV@nV6%8K@&$fX3C&d`
zgP1CH0RXj72z~{EbwY6AaS<grFnts*Dwlj&*f~N{$kJhQG|$qvnvi?U4l20)<RIU$
z;_F48qt^S2QOfb7rgqUCzaX(QQ^}Z5pre6@>49@Z*di#@gQM3nHr6%}G?x=fBwjNW
zt9DOI#dN&hEn3K308rM)F^VN>oXOsM-11krgs30xn!`y@!kI>JgO*9LMm}ylIrxTM
zHSmE$y~RVFvjorW2%XFprorUnrVNbAk3J+P^_u+KeFwi*Oe3F0o>b}XUos5^_3{ab
zR~>_YGftf3Sk7h0vamnJ8CJg$Oq>47osoZ)b0<TV=?Mj#7^f}dCCkXALW?k9Q9=Kb
zYWO&3@2OE23&507xXx~8skk-)^xBM?AESN3SNRwji&c?}WGn5>M1CPHf{~JrX#i_4
zY(4?4O$4lHl%+rSdy>$?*Bt%uq_5RmPz*|_{Kc)Ld*DCCo_A({<GcG1#<GJDoaH>k
zC|IHNMRH<^j<*SVd+`Xse)5A^+E=-R9|xkK1}gbkx&6({3#AxQlhU|I%Ng1iZzoks
zT9s&c-3L@^FbqUv)n$geK{8meJJ=!@2GP7B{m!K)@}Hdsuqz0hO0rY}yI!@Oe5<0i
z9cxaK6NvI|+j@F0rehTN+DB?`>XG$Zi^68R)i;6kbg8CmeAJ*_gcA&N@0jN*Lr<Ou
z;*Q|MJntP@05Kpqmf&*|k$&LliBQU=WXSA{0K*LMmwYZJqUa<wVH{(|>Gu1<??dAq
zhQS*<hU$Is`h3n(l6eSg-muwprp*Z|55p`6Am->DNWzz$<hQFxzLpBuQILE3q`O)o
zd$S`n<8SdRtF;5L;tU{pG8q0>;@z<U6UEGjq9A`pOs-YiZA&XEQTz!Kx;Va^i(>m3
z!MEQkvsuvdib!!w$of%onm513trTxa?f!^2*`TScc`^sETaq~;A7-BDXgA?BCqSdV
zOrOr-mA&cn5r5&`dHuag*l(V-CfLwW*K;d*<*d>@ZSRP^lmPVN1Zw+jI~mI(du)%8
zux$nD>&+h;_q%uLVfQ_Xq)ZGh#fVofe4A<2jvSKJih>TxhB8v$7JV!8ZTDSVTjR(V
z6+(2AyVSeLwkRPmmlR_TjPbHoq~<FU7d80N>c7P2?jUuqSGB)ktItWs%I%o@rzzVl
zu~qr~#X|r1YjaxXs|Y?MGE=~oMHSKnwVOkY7PncnB4h<pXcRlw9#ZYrXo_O>R>dgJ
zi$?2y;OuAaY$Km;erC{Fr5_F;tTeGSw^(Cy#vU21ZHU2(u$rZS6f4o3tf$#+&;}**
z298xWq&}`P6z+?uJl*twDn}c3Yps_V7O*8dkRAR{#k@!(ldVI2=$uoB_rQX<ZpKRj
zVx^t?ia!Qdflq`~gYycO42G5+Zr5*v^!2y*U$|J;jIG#qo(xImBpEejRr%e0N2W<_
z!uNP?!P8$<6CZ*oR^TipJFfHsh9AuxB#mX_$P^>kPpXJkv-Lw}=q;d@0QONUcI+bn
zd-J~vj~0WfWaO+^Z?LMU;*RCZhF!=uq&8xPM9yUGZ(np#Kl)|I{ZZY0yAfPg+48dL
z<GH|553YVzxZj2fjWdFov((sI)AvNQ-ET^{qcD5Wqg)nq_Fo9Y295~N2c`_6n;<Ae
zn!tm#<LY$~`zt6rf^%}^dXI(&b15bFcr#gJt;wE6W%u-XYN3vh2eHbBA$Y@^S-ahx
z&19@$TbaZ*nvI3v2|ru{=G<%+T*aS1OJR(!1`xcD6SGer9LbKtB!2*w_xsk!-duD@
z!T9U1b>FUb75&nuPB9J6XH7BNkKR{Slz;p2hPD}PVy(2Sawv%6Tvz;j2b53h)PoI3
z`aJUU>NorC5BHfEBhWtq6CWbSn}HiX*S;N+l}kj)Rq}MFn0tOj7O^#ORF3bKYllWx
z9I_4!WIi@O_MwKL4Wa=HSZ+Q8YB)<AW7?t`KIM{QH#*+1_}if5zN=GBV>YVW=1)8`
zdM8aAF(*X4$Gz;n95G2fsO)W@Mc?&9jnGYaF|K`4#HWj%JMXN|!WF#(^ERa1SA5*l
zyN#$y!f<e7z6eXzABNs`APKFuDofCi`ChL1P7MWw20dvtl!02DPX<#_2@n+T$x}iN
z0c~xq{bJcmw~;z1>Dnfub8!;hgLM+Cvv_9Fs5Uf>2;lzws@7BqKR+a!mu9@lMWPyo
zw{A1ny*2MN!^d}mV7KE+K4)gyZ&<J=)OVd=ZCo_D`7CU7p6u^8-5(o<V0fI6@&hp6
z8D4e~`ks{;KJofd!-p&_5%8t2GcSa*YE3vfd_T+|>GDB`;3Z(V%n-Vn8^2ED)eX9x
zhaPlvcX8)I+LU6em7j#|mmw>pJ5)~&oYluY`nc5kSs(Sw+|^=+&rYI?RUo<u8h=`k
zV2+^k!N-0ql+<vSuy6?#JyA=rg=Tbx(tFDvdyB|3H-_XkZTILqm}UfCh3jMF$BmuE
zciniZ$>6ppigG-}h?1VS%zPYs>~a2M&Nm^t3@>1=<pee5{vlOs2e7@Tbtv3gIw&#<
za;$|N)>QY*G0n6i*V16PWJS=Qwzu7pOU2-=etUbO){7FW^647Ta1$g4*$=f7feSHD
zT4FTTUe*_Ea_9D5KM0Q$0g_N4DV_)zy#rYS5#@>zCdpZ|L8#?`LM=+{lELD_gJIRS
z<t$)!<!6#9HJBSDVj;p9G1P8{J@OGS4$gUOMB~qWjI26cP{`$|zoaODs{S>{Vf0&f
z<6bVQH<tkX81tFk->}rbQQB<D;#1@cn+-81aeI1lN%+hWEF?m)RKk`_c2+DI^8UMP
z+?OzI<e~et$xk!}e1)qi95fO#h8@p#Jpko0o2sDmLc-p35_*1Lp{C{=!+HSTI?Jxt
z<tP~{Q&0U%1Yd=(VZ{=LUbb@W<mC0dU#ll|noU}l!gfr)--_i^oIoJdTjhi8I0%5z
z=naIl+89BOl(*(>s(OQ|??x<zx~1nop1dQlEc@bD>m-lGp_SRAYv6M>oyjT`7sIFa
zLErMoR(Ysb#CbT5rW6NlvxzRygtnP5bD3DvDf$YT!0N^Y@j;yCD8e)l00%N?W*8Zb
zxRh>2grg=g2LrG0{PiBzKSwx5^L))gb3a@~5}s|y#D$RnuY>nW5FP-9<%SZ|GpxQa
zXS5Md#%WcFCT~biqgR4JxTrs}1R*a>k)y04Lr~x&{@zi$-U48k4EF_GYbfMq3LX<>
z-^8`X(BmT!<<<@__|B8|rAO)p=<rxVP5@8RYrwDYjD0|j@pg9WDFzgPnl?Ts#n{=%
z)^jmz$dgk~)QM@%RNYeVu)5~+<EMgfq--eWW^y_O1%f@urTOeurJmS0CU><mU}*+T
zvb|GPj`>ngKu>vE1b*!8m<XmEU>~`$Gc&{w>o%epHnRCKP|LK<%CEvvFivs#f&~5)
zTY`VtjX1Qs$EAK+qx<c!x~%nOlwl<$&eksVMc_&L@VfVH@YAtwZ9wpJYZs1R^1E!?
z0{)O~qEBfZg(BJJXuV_HkuGZqj~bHlQQAA2wH7Ai;~)A7lY5M1i~(bz;@ouO=CRc{
z`HS2(Nwz%Z(RVn!`#s)}cq%V_j3-!FqqIk=f&9#}ZsB27%1mu_arKf6{G3uFgikhA
zxDOsZMwNR_1e@Eg7YTbJ4tP1O*ZQf7r=hmiZ&e8ESR;#oC>l{an|)Wh?FP#(#eIiA
zDxqd1ZXd{sGwAFs@|CHqd|j?P+PJ?Ym$?!rA#v0BN(H>~ZDyEX#S-J*kK0~ZD4L0A
zb^Q@L6IE1fy=;GcSKfzc`gs@qH<IXm1{9pP`tu7$LFlA2$GNW_z3YC&K`hQ%u#ukY
z9iB4|aJI675bF+c9bk2E&FtPp<&u61bsyl~!0y1MUM_b@;&)hv6lJnS%$;0>Gv}+n
zyW@&*LTCF(ySNtW-ACKLTbN;+(Y#`@@T0tLY`rws4^pVnQ(*;5H-^wO@92n&@o}H`
zemEI}E3<XY)q^?1&-XzUUruksC3>cXfc$!PbK|~4#*_-De?drDOEQebCllKV_bdCx
zQcGXEw$V{Fs1a+t!*sS*CXbH7fHEwSLclVG3_(t4|9HRjJ8hLmFY_XOz-e+u6|pxu
zf##rRskz@6zHtm&!D9KlX0CBaqOMrZ+i!2mVDhAsz1is4KFn=%&n=msmfGwBsuVWa
zq$FmHeC8F?7MHr_46B)C6^mFdiN_}{S}JTx#*K8Ta8%lmge0fAzK|{_{P|Q&8yKI@
zlki#{7c$$rD4dw`&96x{JM{H0c3y@L?#?Dgl4EZ+Gxdu=089Od!z<*5V5c#JU?)(4
zENgv|N)aeCUF$P^VMS&NN2zlnT;HA&>&4Co)CItCN%(Phe-$6y>HH8Pdi?;wpnz|B
z`4RAqjN-ga(mUAVZEkSlkxJq3J@)9u*K}+$l4mwcsRir_qp<FI2<x75D#H31!~!rU
zNlHH%a_g5qX&MxS=dvgzt8_~j2PyEXT&mo-v}Hcf5BmuOxS_!+4MplqUCXKK8&<Cq
z+*No@Sk|FW_F`r@=2BJXp~Y~+Bz_c7p$KtuRgxf*%uLjiy2yxkI*u`^DC_n#A+=_C
z{)R@_P-6O7_WTM;eaCI|qOs{mjnBfUO?O5)H^+;Rp5!_Cpop4l`l1wE5t{U6Y{FfA
zDvud<QeuW$?+>!shEa9*!y)`X`^<Hjg$b$g%u(e(6Kr|5G-WuRhw;BbSd9WVuH)sF
zV2oSx>zKpKVNv9zR<Y@ct(_f)D<v^a=I6WO|70h<S>4s^CU}P~i!QBu&0Oqc16(Vj
zNCZxG&)6!!cMX};(qi>qYRYM%9xKfhgQfFc?^(a_z|3ZGOwg#teEm5H@5l?1Rg4;d
z`9x)CiE-48m-K^dj7xKC*an*V8$1l>&}9mV?OPfl+(Ml94RG&@KSu|-;fRVS$B<*$
zO+9mt`Qm0)NF*E{ec}i;!a2U(<yu}JK}*V*g-sDhOM~-yd%E(Yg=(EW7u04wF7IlY
zM<s+DbZn@`%8pnfmE2=_Wc42DjY<p`C%T-3<7^i*>$d+lIQI9_{>U*l)C?M;{FRJ|
z@6qVXtT&j-IG_ehqIv{AB+3}8&?<&@?w9tc+8kriO5b(WAwwJA_=@=&`9_?rwwkc0
z!!jxm9KGq<wiy!2Qt_*Z*mm$ISV!RKg~WbfKS-hB#vZCAcvKU;NwPl!?|PAK80lI#
zDQ#ScZ~3H56R~{;FpX|b__bIZ;~ULwEncI&SbyUtvwO=1>NUO*mnosj{=26(d`wQv
zGV#jg-`#Ur$pbo~lDl(QEZ3B$z#}~htt~CVV$QeN%oT%}RrbX60t1o8DbswN1^7I<
zT1lkzPSJLN(%q4((?KJTpGD~?zaU{=FLj!KXdQg);S}T~@1$)c^`5A<sg`dL(pQ2*
zsNSpxKA2~fKP$!~obT;0MXl1%vtroz*!`5KS<=&6Qw#mPPhydsLPtU=_{AHBDR#!_
zaZ#NdAIzG#&^^pF>~Z#01n_!u(EZ_)EL0Kv!XDJ5Af>?x5Ug*1uv!GC&9m6>Sx#1d
zmeLms-0zbl5wo{fu?PzV(C*Db#OmjnxQ0qY$jA!tcxh7b*8I_gdNxv0zVXq;`XAxW
z@Ig)6QDd-lbUPg)P8e;EJY2mA>NWJJEb)0$_ncJuaYBv;&Ybj|pLv4)n}op6yNVWb
zR7T?uqf*2u5)$bJeh5(2uX0FYe)cX01s7IE<mV@4t<tFcgzx{(UQt~bMM~<^C#$v5
z3K)6rnh~^%6}PtYuR_zX9fs!A#)E(0-XPRb&UlyI-Hvp4z&GP9t@EtA8;NR^hL-OU
zz_fiWkr?tecw#@nQV_7E`~o9}PzgcT(d<auDa=?M{{}-`?@J^G_L93uv@vu`v{>T8
z)1-AUg8PY3$3sd;v>6yXdV8r62E9NOE<_O^x+6nI0?Z&e2^4?z%q&P25_<k5nQ&T5
z1S}0^w4R%KZMG&pHG_`28)+Y7GBUxTN*<;N%V%`verZ?JXR}bSY@6uRN%Sq$S8Ilp
zh)_Cu*NXM?e%{1!>bKXobO+Ke(Mw_1*O?)#5RebV;iE;@`$LH-S|uG6k!9j|*h)gJ
z32wkRZAdWiE!lD+wcnS+!Mo2SU@yH1FLus{6m?u$rSbdMP*P_R4Y0f&k*8d|Bv|M$
zlugcKsB?>}o1Xu+c&h23KSrlcqXudV2_TRHzp<@mU*+_``c&T*zKThw5RAEQ1si$g
zIIxQb(FoXh4UsvL0aToa<Xnoa_ej5B4xlKyv3Arc3w=@`Ln3PLA7)&~Ea2;ae`#$?
zd6F98R98Y|A0iTKNA&6{|2lUYxK3)3Jl7Th(v|@p5yibCAS0YTbHAA3IHOBKBJQIn
zaba(wHkF(O)>tHQHSrmbRM+4X9=8fVIspQhpo;!tG{NfJ<qHf}p=h{Gv`*3|6*!3q
z#B$E{Np!KtMiPTCz4H2CA-9e|AskgFSI@|u7nY40W!gq6TK<M%WPq2ZDHdWO#&*d^
zoh4xw8hQZgZ+8_;p(<&5uUr~IN`AWKPbHv${!s_}3*gR!K8$t&P2%!lE0KP6I1M!0
zI9Jalw85B{!_Vw}k$ygHBQ?#m;~&(~K~kc{Hfa3Guu3o<-DOoFQ`ccu^BlndZ|^nk
z&%B+56nFz?iLfo0j@%DPh3dVD>_IzDDiK*>Jt1opvE3@cL@XiF!+&@p3X2hHKc7{E
z7ua6OWyPgzd<V@ZE3uDFnJ!u%+m{(TB8y#i98ISdncTi?{Q3>r-<W-cMqNjK9jHiY
z4bO1Hg^T}!@`5?Y_eH1Q!P$7*oonmE)tcnaU6u6U!{K(rEzbLv+oWvSxZ4lMfVKT%
zKvKvVFz6ea1I`G*n*c<gc>(AXIc|+{r^t~_SRH6tR<-z-YsW~L1&gqM>B#xEv=nUQ
zJHDOyu>9Tc^4jkk5F~Zx0DHSa{gByB_{moyjaq_5Y4}0q*pKB7>FK90?H8*O%}Nhm
zTn}g{Wmds1pj)^ofp)PO<rxQj!bw;jmd_;QrU%U-Necr6%dksAI+r@`?B?F`+*KZx
zueNX52O`-&T@D-G*ZRe8l5bzrcilgUdq~}Em%g468)m7CdSGwfOpuMZh4(Ifrlh2K
ztQc{7K;b(iY<J=pLGy4(!mIr5;V}^8r3-aycx#Lq$iCt0Y@MNyzc#UkF=YvYEKqvt
zvFHkHJyzFGOi7o_>XdO9;>j<o);P34)O}liPu=V{vrE1)1jN4`I0xOcH)GiWDC1Dr
z(^HL~aPL7FWn(tL6mMCZ-m=s7$QFMzQb)=V@a*W7?cK*;0}h7Xl)^_<!<g=FL<o!P
z&B{b}-0JI5Ds}vM6Izb9-(7F4ZVRGQ;1zn_E&!<i0t)&s*4P2P^w~rD+Z%@XdTwq!
z%3*B6krWX`_JI?tsWIV0d_3PRW<zWWXS-)W^b8Q0MB0pCMKWo=fEe`#fwN;1U@@2{
zF(H<2@{1w;y%brdSiZ5;f`D0?e-av^mf`TJS%O9KrFwaQ%+yH46@gVZQ3QLv&Zpxc
z=8BqvxjIW>K<oGE<I1Y(C-VwJHtj~JeH`;AeDJu-f7Z=?H*X0Oy_5>&TO3^9xq^PC
z4ptJu=miawdwuf+AbsZRy%MNbI{OYVo*#IQFZkZ<_Zn;XI#+yGiBWEc`oprXMl9Ld
z4n=FTfH=y7j~B~d)5Bp)WXiq~sNXQSN4;#^Q~d%<{BR6-{2Iv0E2UZ1opAbGJ|tYy
z4(pG_p$CO?3>$7K$Di%(7G(pmSAO0Art$h(mvsi9O)g>LCH9Se+9CcORJNv7Ahznq
z)lPQ%&Ck~MZxZY{oR2p>iKm$v8}P*o!yY?T3tlhco1Nl)=)c#=5kS=Krd^sc#ExDd
z`Zc}U$FY0(eZ7QcLY8U8-*O|_1h!L6Ss0++u87SaYbT{&lzMcJU{~)k+87)c>>7Oz
zgUB;^Y~Jd(@P6EtfA+J<6lHH1rOQLB_9)YtVBm9dqlbO%nZBF6!AmlFV@SVtveyn~
zvwZAP#1CT4KJ_l-iWtFjt&24Sz_`+O2^fhw;K*_$a-Y9>kB@p@fZ7$!6$`5|Kn_Gz
zmG><LLt}nA;wQlo5~MQeVqYV3bRVY^jGq<Q5RBv_;!eu>Bg|Oi;o1b)lgpQHBFGM>
zhNDUu<PChii<czZb^Zy1M0yxV*w*o328*kGnA;%lR<qHH#ZeDUKFkGt6yx4z3ZP(5
zz;4<Gc*~px7UlIBeok1ji0Up`TLnbD0@y5_?t$iv<1^P2K9mjq2-@rTlWc{j!%=R|
z*HA}O7<J5HcsJlOy#|gS*FF<x?COV_xIDy`_gW~A4&!6JH$RJE>igZD0Zz8YYmZ!6
zY0@o;w@cA2l^73Or>zL+_JGQlYD?g#VnjF0b<!&b4I<)Q_Sh(bY%$vJ3S8hBd9KlV
zh;|c7>A)}|{FKcr4!}IHz>VQc=VLjXn*sb+yKSqN8?l-_2Mh%-P`9s5PWtkpV$YQT
z3-L(mNaE@o6_J@u`IOPUsiqT=1c)S4bd=Bn7Zr>0e!>vZ`}r*&v$B_Vow$LInj%CT
zV{vx~2xv4Ny4+h&QdJ0F+(foQC1W$Ozi|nY7i3FCE38&niHc0^b44Tgc0NHg8>Okv
zk(e4q4ff@u_Sd!flq~>w@ic%CHV@i?VArH#W5iXy4+_@pNvL9wZm_7emDo>cY%jp@
zoCB7ui{8C3h7Y@8Xfc$x@-B=+;7r}pe*0xMOH^J<PraftocEAV?}JmLZjQab_|7G*
zRLm)F`&D$^7%`VcSQ#HPBlnT5{`IF1RA@DiI<j{d@=~XU6xIOK_4l42YV@?su|g0n
zF~6re%;{*md)iZ|Yb2+gK&rTBIJKKEV;XR|){~Pu+1UfpdOVGk$r|7tjzr;@9N11@
zYYBo2dFFH}r!D1f#aunW(g@!yBS((n)V}#t=npS^UNvZZx5r;NiLbz;Lilc1@srM$
zR6B5>Tbe>y>H8`|gekrw-J|=E-w}nLhGXP!4ir4bSHB~QAZN%at>RcW>O6ffOq-~g
z46^g9?5Ef`D;9Qr-UK%(xItTf^duRf#fO^-aYJ{IMzKRY$`C~xFeWW6Ado2Bir!*S
zs0yYsz{k+9^OeKi<eKMl6GUnh=w3JhX1etvXcXD!>e$L^_G?}`Aavy@?KtWLqEJD{
zQaP_NvsthmkGf7yr|xBqpJGKHrOK3Y`JqVA4)6~++r^BXYQFTBPGToS($LRBJTK4>
zAL$}qfRD*ELx~7oEKxDE0C~H-kXEl94g)!<u_n*AG|No@5f+0sFsi(i@z&m#Yj18I
z&;$7sGY!FOs=<B1I|)W3CvqP0$3(mnTvz>*I^~B+Qu$(}^4?etpymUEDj=i)@WwY7
z*|QYdyFoRDJ}a0kre*d{(v+~Zg_ZkPm4o=3O;tY<lj}suIq&VFCXqDzGcOA9u|dN>
zj@RP8orK994>S74@S&RiTw<e6#$wppDnIrpYIBp3G2n{x=SGPOMx?+LitWr7h(uzz
z&iyj>`NBwaWfU6^J?HW!fY^)$Ur4=xuNzPPWq6WUrjBwI5(aH6VRwR7DrLX`y5AKL
zB3L(Pk+JI$q$p`oeD-RG+iNU`SHcIYL#Rf5B%^I1WB1*rElFTh@Me@Ix6Jf@ZK;qb
z>FWX*Dg=?1a<VcR@Dk(}Tiirb2^<zlR}e-iZ>xV`qY)c|q?jfC@G>Sy^MSkk#qp-H
zbE#DV$J7&=2?&uVG7;pd=3|Nt`dH!ueY*E)hL#;GuL^pKO0+VmIm!cjlzLrl#__`N
z%sL6P$;P!IVoJ5Su`S>PNl#7Jda6sdY_=#dhHfU6t{os)`dl|WGxUlKiF35g!olSV
zmmRMPpPf)x_@~$z5tGjvxt1IHGa?M_V>PqsPBVA*!Y_F*UKBof=S>6Z&#3<!G<g{J
zsxHCFyPO(7ku|@k7PG@}r*TVAp>le}5%^sl>Dy!8I<|Ghq_z#($9WfRC|Je1>Rmt(
zCZ7*3Cj>@Ci}r#@d#eFL&>f}Eogd8le6Iv2%Q$)Rn|2c8qlL|FrPP7Qa&S<9qd(@(
z!`;fm+0DK0r)la?8N$#(qlQRgx`s2ulUt&^?0pMbbe7@#$Spwv=0G%*MDdF1y_kq3
zDn!>C0T1<-9<o-`>4mbFAuiLRb0LB_ln6vBak(;{?Ca0<UaC)+fpS&Q6v$&0^q~@3
z5pk)o7{fM|63=Vznuvdc)s(RtQJXAr#*{}-A_*r)#mRp#uCIB3iniyHLcy)MKMo-*
z0sC>*VF_8Sn(`M`bew`Ds@jeaBzQPto=uS$(wDBXc_jB$UQ6Hk9<{HgYa6DI5DM$7
z{umS&7=92vtSY{}Cm!yZNB!`KlY0<OuFHchqCnYs<M!Qw_fDC?St**wkR=UXb%%x`
zB;fnNr&)$)-^&AK)0~7Ic#dijkA(v<1W%QW<?RnUEYpm%SB2-dEu~oTtlqvW0#qJ;
zW<;4h?)fg6lB5gTvAA4YZX+Ml=@1-|mm)GAuQLU`8XhEnDv!TMG5^v5laS;+h}J<V
z^*leZ_|fa6REA{c1h8V>aTrB?!gxB*u&|8GMAyy)Idh;8G^%7**6_GpWHFset&4wz
zFl)`^MVhBo@HgxSp794+V=CdjclrXchcZ6IJ(r+SOO88?%h`URSAd=bPt9A_?91K4
zmlW5BHcYsR-91aXoM(12sHtq#^_2+R56S&NYw!fGV_f1BU<^}7g~71mq@;#j&SO`<
z+eC``sx0mC8Zd|v2_uS$=XB2HaXi;UM7bVJ<nGBae^C+Bdm0k^lrA<@RTlT$O#1v5
zc*p6$&-W6^#`hp8#LWlMzXtxiY>Z7lh!#C5k3$O7mk=}1Ar?;3HaSbV1dl<-hGEG~
zIZ&)1q5GIy8IKOR`Ycrso0I>2oDqEKn^@8WJU47L>o^(wPT2_>QY$jp)BMZkA3&fB
zb@}0YI}UO*BLrfRu+A<%gD=A6Q2q99^%YH*r8D|ASRNcjT~oJ--(4}9#?{~c!hfV%
zT4=h$n1%@FaRKFvu_EC+>uw6*hT3xSe%4y@xmdd6BJ&Z^jkVC2KQ?^HOg1Clu%8I{
zM~wl@GD4^wmzKS(Xqn|%*v%=xcuWLaU{JYoHRf)FB}NzPFqvx9C5~aLP{=lv|Jh#*
z>J-cNSPzeT-y;lv%+`Gvyvr2yVki(3CM#83W>6wW3f7fazyU|HFyN%w^)06-DJ3Sk
zFxX-aZ%hJ0u@_SwH-!|&Lqv|nZ2gS<1Hk!2gtj?ij~E~(=YT)Eh(osJ0Ehz#cHPFo
zh^TDdPRANJvtEmi+cTHQXGow@h&RM+zrX%|l6t9Pt+j>C8~X}&^`n#gK+;=0IimzP
z;1w2%hjXENZ;!3YpFoV1y>X%rB8?Ca3#C}v<X~dIctKGd@58Fwu@zrExA8dOj~&YK
z*&tc53WkQ>JL{99l0d$C#SFGZO|ijo!sWeS@$Msn*avXgC(b;VSrL(W509t&APG?k
zOfn5&fj>pbKCH^c%IB`ui$H#U#Lg!lnMBb&<u(EhASlriD0;1!rQ+$IbZst9auu-V
zgt3s-GPS9E!hFU(2Rb>BF%{qzED(&PWZ-;`-b*&rdc<KjIPf0v;m2iydkCZ1mpniB
zk;P~McL~*90EE5gq6yhbS9;1m<g}7KRc|1*Tmp5s)*0mz(_GMmb3h}`B0cbw$MR4R
z*$+<%PCtE^hnk1&eq6mbYac!Y0?QQiC47<mfJ1-Er3r+ap>CHhP;Kx2D0r46zF}^=
zf)H)Ea}uQG>q2~A-Hmag&6(v|J$|&fBQ#T3w(_&~#|ia~Z)a@6&5ycR`#vR>A3?_L
z_kpqcuXQGR&QX@OM>8znkA%G<xC<+*dUuy6*A5f5zu4@8e|0?PAh+T=CBOU`aNw1(
zMqE|sCj}=b`I=BY)Dn_zfJ&)r<l@MNtdr|PE5F><c0e7RM@rW-j)s7b^W77(YEQ9Q
zZ}r|r(JIeT8wyinMDCW`piTLwb3Hkes;@uWz%h5TljO4HUO%DG9WW7*4TMHjrQUv%
z6t1P_bJ>;?3z@4px%EP%9y+4Zc76zVn3CsJ$36nIMT5l8=kJ|N$hTU)SKjpTeiF${
zj(R6*It{A3IR>KGzTj17gp8vaUW(cR`j5`WIpBY;n~Uk-#p>bz)ME*}cy#Ejlf=P;
z{ozI7&zyX5GU^i%mZ#XYgsQ}Hd%Oz#<b;iP%!5DNA9sYxY`4lUN<!AL!6-pm282X=
z{y?}^1nz=KB<pRRzBiia!^fch4f_3)l9+8f2QQL?y$e_$%e-~yRDkfV*ac|hJ`2;O
z82QSo(ZUNxx`s5*AN0akgO$!Wj|LAd;tKGb+KN&5Y`(If`2_A8hW5ldErFqL5CO4-
zDf1o#TT=nBdo9%xNa?eXx>rCbqB;Mo@8m?S33S^p%PO|tsP8-KCgPe=iGM?WVgS!A
zPVmGQD|G_<QFv%+RH1Us=IP*+w`V#js)t;X(T;>W*AocyAin%=(vgzg#LMnosE_dJ
zV+%$esSnth{nFD0uhR){4%&rjOC<fK{E!9dE#OtVB0oRlT)#~3Nu8rPd1>}6=!Iww
zGR33d(*Z^gukeUA_m5e|ZBITfx8d<qygN$FzU>hf+K_C!{c&!c|Af#+<6a_rZf>2L
z0qc!b+d5XWUV`KPdL(<{IMmOzB!^q;K}t0FWaLQudqpD|dFfmKgzxzz?bQG@@Agn{
z|6$IKyL_Z%B3Ta)ll$V~4t*PVNdfiEz=c!1btIEYI<ZF+seHUOHK)ARKuh<LUgjZ(
zf^7n%&)9OKKULb)EtA5w<L!x|g)h7wd$#+s=T%6b8nzoTekldk1!`6g`TYf|B>N}A
zS`xQ9%kihP#}Crj9{j{QCOl#oxcCUh4J&b;*pHn(9%nb4qQk-8dq!R)b|QWPUSo;g
z1Y$&$O5iA@4!Cr~lhkHFF3Jf)8W>-has?mGLadlA-0r-ax!9?-6Xh8mLSdX$XjT1%
z2DxTz_gs-4@+V&%Gvg|nS927iTg3D}=aE6@kL5Xbku!X&*h<li(avY*HLf!wwT*uz
zO+6Ji#rT%(E53<H_w3#ZcD_UjpJKeBBiIQI%q-1Iz+#PNtuX7=`=dH|JAhT2df+o{
z$OgVWPU#oFk9e8dhldfB&#e%$`oQilpP~$0jx_POjSek(t{U~)owxBDCk`{z($v8g
zg-=JueHl7`kLgnkIG<1q@;Z?D#TaQ3d}u=Xrd0(*&#cvZWTp+`?TL&0nf75z)ZJhZ
zrBjR&I+o&}({?8-A}VR^G0mOKvbMAu4Y}l-@NK+(P5jZRT0gnZ$8U_gFapEklinTW
zvKB|ZoF-8L4ktWbh}tH0v>+ythm8#GLQII?OT2apCHw$>|K}8QvUQ<1KzM0K{~Sr(
z-1dYZ3cJEI>oG$I0pM7}%ZeYy=j`u9B5xagx^O6>M<Rm}*19PI@A)?NcI**zxskF|
z8n-xEJBUKlEN;bBeK=C1_VM<O2W@8=Zw=y0cJg4~cpUS5t<cgv96}5t0#FGzd}NPb
zDK1w`1O3cf&X_C{^d;6ARWdPxA>jQ%kq#OP+zT)1q@^f$n3e!bOhx^Z#YuVmDq6W(
z9OqExNt{W~@5o3yBWXeWCX?zP?2Jf)%7OPJ=Lghg*utnHnLGzN(!3Dg^Kx%5=e#;@
z%SU%mKa>{3T7B^$BEQT$bq%gsRO|I_L69UOe+f<oxDcXa9W#uW{<I`1Q*@{&fQTtH
zz{3g<`&1+~YJE)Iwbl9D(GgqCe6ijsPUdber{*!TRUKx~&`irP7EJq!;)dh4f3on|
zRg{<qrsCaC#04Qx=3FX%?(>-|z+G^XG@FwpC?MWh7ggzb`6aH{EZVqiyrE_#sbP>c
z<}};;=)x^ay~b)Bb})jFTr7oRLt6qo@eLu6j5XRrnVGoS9CIi3Jx^N&53jj82hV02
zA?gpAM|qtx7-LC_ZbSl-(Fn)dBgh|gOt1>2rXC#*ob=cmnU!--XH>cIAV!f!2M)%k
zzm=K3&COJk|BCP`UJiH2CTx)=;evtx=Mia%6Nfp^JUFd?HboRcDLq0)%t);uNtJ7d
zQZ?OP36*n(@e;Orujh%!YJe~0XNAz!aqZZ5-jzt?FB#DN)tAF=QRROitZ&GN7Y&R&
zTOjcPOrc`sNw~(6>W+s}Y2rg)TbI`}-%%+<vu{{62|s(TV7p%*wgXn9t#Vl;U?g^-
zd7+Nq4KIeG5(sZo|3NB~5N=)T`AJ&H`%N&JTTMI`8pZjM6;asc4|wGI{ZfI?M=d72
z@KI<31h7Ka-;=An3&d#M6HfEC0=ntE(3UM>c^sM+%}*_o!Q$gtUGBPgG9Nh+yb<ND
z$E+yd;h7=k!+nLmPO6Y~Q4pKF420^Uj6nmqc2tjFacTYazX0NvTVFJt1#xLVBY3$+
zde7Y>8OfsdVWR9v|KK$tV`4QkPg-aT^|@tb)U<T*-lisFP`?z`TYkI72(X38vetB%
z`j9)ZL)a8m-oWf?I_G94*KF{{RJrjfMtf-lDpMe9Yj0>Hc&w)IM9IS~S{ih((JU%$
zi!N**hrC|y&0xfcgTN91DW#=HD6oS_F%$IIGlmK6jAqa`p(*B3^)yWoxZp~%E;wJk
z5Mjkwgb#3?qsZ7&t9L3!{<xS=A@~SwE}T*H1pyxj;qVkW$4>oJ>yR5}Rz#+onC9sb
zQEEu%q={*C*0u+?c*R~lccE0b=^N?UmvDTB$rEv}UpQPBYfiuHi+jFKq{>i`N`Qt-
zRI5UmHo4jJO!@fjBXYu3mUg+zq<INTRk^qjxMnxG4TQI<3SMU)Bv&b>zkhxDT<2Td
z=>T=?2jOu=CtB}-JAO&EN_&d2W>!NBuki(5Ru#?o)NvJj3YI$ZjYR_6cY8Abho-Y|
zYw~^jFx`yN-8ItDqjNBtQPSNd-6|cUMu&8FHwN9(Dd3lG5fBj(^*4|Ac>jSN$DTd+
z?)$#3&vl-KMdBxwY~p67)Juh4R7pQ=HU@GGls#U|r&VJ-Spxt`7&-*}fu!aJX2-nk
z{P)GxA&pp>#(qOKJWa;bg=|^7hY_7p4ovY{uIo0&LpDYV^|`_kD_@Q;$+ZvlT`^9F
zV$5?xY#ew9fX7uKQ^T$2?FtXM5NKr5d%ou00Ce&$CiebIiw8lyC(`JO<V?Mjrt#=^
zKo}H58odNzQ!&gfX9HFB^)Xm~!y^^1dkc(_9C34^7#W>{+sw8pm8cnD=Bueg8PJRz
zfb}j(pW0reIWFAg^{-q!Q)mEDbsruJjpTJ-BQY>4axczW?xyAi)?il)Xh;g>Db6N5
zGGLO?Ko;*UjqnV<xv^@lqFt>G2z6~yD@HWqO=ubl1Y-#*#YT(ayf~v+)le09wM0cX
zagi`0s}psX)%OimOP?;?Un@^+g6vTkvnll$7fz`X6gT&d^2N#H^2up_9SA+5iZn2b
zYBb`Hxm4IH<jM*Kcw2Hza{pc1D>&d7bu@@TlH#Q7KrU=E=gL3n#S4A%T;ZugOC(j9
zN)E)zm@r}I%_cXX2+z`84)qnSGhzr;6@F|^7(}vGsM@l$O;^Zx&&z1LuHM4DC}5-z
zqjFt!o_41Fddjoxks8qU?g$X9q?9QkT(A#jcxPoy(cPJ$D)gVG1|-;mMmFBS70hHl
z>E#86{iG3mSUIQTt>*KRO^ap5UhsUOetG+~KIX$Jz_UXd=#voUvU?J*rd-WL%iGbC
zH)|)TCQtR+j+#{8NR1^#D^>Y!=3t7u#KV9!JRGDTDP)i!z?M>c&C?eiZ@afxFLYD5
z6D&Bw|GhlGc6)g7hekNk^EHttazkTi?GFRb;}ko$3pr=x4yxv#n%9Fc9_=f9vq30>
zIxpe^0S=y95Z0)hI;<DvZ8|{T*K>-zfA(csLf~9<CwR@#Dqi=j+X;65g<p;i0qvM#
z-RA(G6b)TGF%V{IA~>tR2uoF=RuU7bBm!wE7iKA78F(VBpx|VtYxfeMYVL<?H8mT{
zj^>>fD6s+f(|R#lwUc()u~qB)Eg@bQ@35@X7DHZjm64fecRQ}SRkPKdQ(Cmd+ju<h
zrE;|%nj{i3MwB~~@*xtK6tAJ=zcuyHT_|EbRY3JiqJ0mzB(&I0bA@Mb=)WE_g~u50
zv@+I&zi$pQYv;fb(eqXN8+v4JdY0v*Z@<+35xHP})^1Wgo+$eX70sNp1<hQ80l+5=
zG`dU-?Z>up$#0Jekze<fAJmQRxBYaJ%=5Ns^`J5}6v$D2Q`g?Rab2^0MESMii+}=Y
zw46~e8^?f8xQ7?MpT$$2r2|9l-eA_>!}q}=@g4Owd`5?0$-ND0`mq88n;~>L{#z$D
z8^Phxf^?%djh)YoEozV_mN#ceuB!7_0%fraO^jMsX;ho0bM(hybMjimhe3*WYyv6%
zfg{WeXNrNE%32MVtFbnbeX6nQc^9evc2c4;M^GG99!gqNz%W^@YI6S(qXtiZe;;)d
z!v#4+^u9m*c7}uJt>bz|9v8it!N&@CckWn-?)1(SLT`DhOk4cUA9Mc5Y>`7T$U0DY
zjV?LatI8IQ2-hH$&S16;+d$t2S(Z?fqXESnX@#Q+8$C9V{2^1^pwc75Uv*zK*-MGw
z=y*2T*|dbAdfQ>5na{E2$<>|0Cxob?w9T>bYBJsG(=4NK%mWzqE6Y1L%&-p-Ml4dl
zcWzZZFjS*D79+Np1UCDS|NP$K*4+d#qqSW%^a7k1=2lEp@<~aJzz`~kbB#JXT&VpH
z<D3Qsv8k(E>125_FQ&(zl))TZGwK3}G!52jVFIjT7k=MK=LoK*3O;mrqvu@WGfoRv
zZWv29?sT(d`W9z?i1RG%`!uC-1ya3=jO(F87tD+C*0AxzJA0SYY@1L+9t`|=Z=78u
z7IPWXMHP1Ov#&ZYV8lVp2S=<kkh%?aM}-weQ;%44bvS3*Et+L0_}CZP#X+o?FjcP5
z*92sbc;<y1%C+Ok;EuJGnCPgaAR?Eer5yWc4_?`g%gds_l~c7AEuf{_#``i&C!co*
z()|K^ws<Xi7zeY?Lzj7_@!7J_o*)p$Jf?^0RzN}aJ+sABI}px4%Yj(}uO(jE8eSUH
z>iiWBsCPJwz@HXXmqUf?tVn%GO@4oRRKiyV3TwJ!k?B$b@`97;sAiF8)(V_ekW&7+
z`pSHlPWP+rz6dZn1ZU_kDr?u?O0raLnQa)4ZV;Er%GYW}^<11A4LoHp;hi_>epvIR
zOw_cT=+96x7%)Phd+y^e835N@61&HvP-o?9q2!=bphe#<BHVco3wRo<9;y)}4C^WQ
z#HK^dAh7C9IP#OuU&}BmYDK{{;!sdzm?fG4^t6sTVe`M$ff7`%984x=;DKrL8#R_i
zXVEJXPKLRO6SqY_JfxA@d?~g%_`)iwPfdadNoH?}bJuZQO3|;MK8?7(JWD$FkvXGc
zWU<^Y=hh0)Fda~PY`wAQp^fWJ;gdF(-A^&2S*Now@MBZ(?xFG&ZcJ3+%6<i|3SIXe
zssV-E<pfQIe;(sD>o5yFrso@ds0l@DT`xA<!vyfr)PXc}%oeFkAr#6V*x>N+Ag$7g
z`ccY=5DGy>aA<h~T!RyYD7y*6lANqCIzJz-r%#?>HP}Xa?F%VSDJGmO4H~j`=Be}_
z4`PvkvKOd*{3mVp-S)C^&e#fG2*fVN^h-F=g|Svi;vtkHmN=vg>Dj60fiWFwe=T%j
z^<Fe<7E!3<V7}WZ-<T<#7DG5?I{k57gPjqp)KZ1{?WB>c0_jQH?Y=dQ!gK#zOs?;E
zpt6YJ2CvDZqQmUt&=Q^nM}X5i!I!$O%*<gF0OxyFS?CqZCpBA>JYf%J%DksWyOd<w
z-;?}T7rnMQp1=Hk%!X8$_B>tsqVN+<0MD@Tmh9JW^EAP}Sb4Ar87JOYN(Uw%J-2;o
zxk3Z%LbWPeBRPgw@5O@vI%!6RO3FaRF>u;x^d5*mO}5&&+A1iJkFM}ES~6V5J8Pnh
zj?$4WioL5=HJP91fppw9uR+*-_e1ekhSnru2da-e0B7{tIX+<MMpZ&>F#rnh1i3`-
zBw{_o%UjL?LodTl5a}!%irx00y;n4GIDGik6W!o!;3!^9wJ}G()TM?Om^IbdsErVm
z0ZiienK{7g>wgrCI!qs)V>hI2hwUVzSDo1vj&wIzeXt320-qkCQqR-ayzOkw4OXK=
zqYu9`Qc2=AGH87I#n=cExiar4TY_VM{~EN@3l`1B?04M=7F2P2ykCCsYc*+S&9Csy
zdSx;*uwCckmhI%SLeN%T@b@ghp^YUx9h)4$I;g_?a?k~fifuB3Cax|?7?Z8*kW&Ya
zv_y?p1E&*^n#jPi_Mg^R6sd7#B=N;-isu|WRYw{))+Y!SUVPn;Z1TT2>Iq*%(U#3!
zv+#R{B%kdnB_B}kFl(e6-=FYD2_zKRLHv9=fP6Kxn~<T2=YtyP?>9xi#ky=#9*_&&
z1tcVxE{l$WTlG@yh9JE@1=WJZT6?gapdlvp&RWjJvW#@h3d8NM*JG~VnZhpjcDcxY
zcWb`a8C**wiW8KR4paKNZUxekh<^r1Q~}4NdSJ=S%z12Z;&7Lpsb7OB^m-=d5H4)2
zEV5Nh=wOYc_Yq2Qo|A*>Ond=C*d2a((s$1s>K*vcVo#NARRcu>cLwkA>F&yi6!Gcg
zOGPXFaBw2zI(=!>Qe5<lgkKeCDb1Ztm_&p!)FpbHLyf8sOEtS_bE2EmUEOXv_0Q*r
zskdlk-UCdpeMi6J0h}opYcy_K349VoCZkDu_@50?zKA7@2L=;Kgma`#@vuayKhw(d
z187AGr&Vd8BZe8`(Kz{xhFe`0aw(u>YUd3}D6G-sxC6dY<~r*vl80z)8<6|%;N?<M
zGJtA)Uozs?YbOSh<0VqH`W3=SeR;E=o>&s1u%4cYn@?oqRdq+G{&O}&Uy9|vnPT3k
z;(G7LgOx(^AbLNtN$~eUKPoq2ZVehKZ5x|OH>1H5we)B8IiAh0|8O1qjDyr%ZnLkO
zFZri@SUgiG2=&sSoyk>QeAtU#MdB+z%x<Rhq#N;}iBYKa$WK6agn(jkE8Z)xCw27z
zc8;cKTLz(JRP~e;*&v{gUKW2=FX6^mZx@#`;pX~4j#ZZ>_xKW3lSCL#LjGng$xKuC
zppA_CagOwt$+0I0WW+y%45C0{OcnWLq?jPUqHu7Cg>s%ATQtk37)nTh0Vz>S`P<+q
z&a9~s3m%rjB)L`ie)XjNhN=cH*Yo;XNTmix21W@2ZE|;!gB4GBX=pE>7il5sKu5oC
z$S((a+2<5_#r{lLTl63pgE(r)XPi-A`t{|!5AAXIXWZWWFWUq*D0tItc0RM8&kxf&
z&eA4h`a;(%#;)+Ky*Fgv7Fv(<Mq9jAy&2d7Z1efV9zfa_=9uX-BEzH3<x~AiH7Tz)
zbUB<8dBjsxisncj%YaM^G#^b_nJfEe);SQ^Uv4u%jU1D#N!L1-43}wwsOtU7g=mlo
zIB<?;8GH5F4uO^#z8qtH<m?qGP%9Knb7u*NgyZNEXzi{LZyPk6poTOjuWhaVQw9&L
z$Guodk9Ce|$7lJ1fj983D*Pvn+@fT-lDtkx7vt;l%*lXEOX|vw1<-2Y;?EyGOW}4K
z)$Dnk`zGT_|8+^GA@(_!wA;wSk%diqCSx*A&1L*VkA^YomT9!CLp6534=X7ra8A(;
zoCLY4fxIZnI?i}?0{*Y~w=k6mKlPggErf6gQP1vCL8<7m#xh3D9^Q&R=d7&LQ;k$5
z8&6t&4V5(E*}f)JL{i0AYWTNgRUXju&0wr6wKFMUJ&WYh<$T{y?zs+!fG0QDmd=4;
zAD3uW=evH?$WIg_zuwZ3ZxuszqD5*JA3KIKsi&x}7k(4MAh<;8;~R-*0!viZyL%#G
z_a4RDowu$qhB{rXaQm7BcBn^x-IcLKqI027+`I;e9ehOF>)1k8<;zUCY#eU-TWPD9
z!o4F7r<%Romc;Z2sSicm?3aS{gJZ9qC=oe!QsEuAed**lMob9A0P=!h(qx3TC+X{O
zUT2lrN|zBeQxca^F2$otygm_`Ds>XpQ-Wej_}W6+c@7;m#fa@eA2PJ*@tRx=J)QB2
zM<9?RQb71}fF+Ynp~)rxJpZr8HxmbRZ=EJXo?~<b!~w#hO8a)AJpP&SHJMiSJ=%zD
zb^f9n6ITfTJWV&P-xzLtWxSPT)mfs8xhFbknq5KoC!Ef0JjeA#qIzK|ca|;0K@N2f
zDp?jz*g`XQiXrHDn!rFuk6S0PP=NC$f8#TDl4eOk&=3C?(S1zlH=|~bjn|9$ypnS9
zBY)F3<0j)+uYE9jKAZjn^-#Grs0!Q?lWjH(`7dE(?SAN4@~R{=$EcwtKU-Xq3Tx?t
zKx^6Mhu^*m7zLoZNnYBXYa-!M*^sm%bw%V`kSy0w<*#8q%ZCMLV0DXu&<-7=k}>0s
zQDXyrd+`KVjTyi+q_4sP&|P{b@)jABx0dR)#S)={R^e5zqW+aBXZ_6X@j5?GMyfK>
zw}&NJVGDorWtq9yYr1j2ew$YxKGUAg7fG*^GC7RXm&TFvaaOIHEXg54a{G~O4ovo*
zcdR;fZ^5jvI$l~<9%5!FDPx(~=V1cvpxJnm>DeEl{60gI1HKI@le-lmUDQ6E7+Cmt
z#E)o;Wew)5`{oN2oZ<TTV}*J%@MTl7jh_O%sfOUrL7#+<9Wev^d5HctME}O(RfU2)
zuTq@6TEQ6Dv(D}3`8oZf9fp^H=iRc|`+MkD?ddVop`}c^bql`~E?93JA5nYi(G|r_
zmGRqq4A12y`DS|Dxy|R}W{S;bcq)-UMMvWpB$9AGPYla&M{vEjE);PFl<f~^J=$z$
z|Coe|K&oJKbJ3c(_QO;!BMw)Xv_g99-C7r8eEKy)Q8}W+8F!pcSyE}2)T}l1#|<p9
zHb!5z2e^6a%5BU28QdwDo(axQIUs=W3VOP%=_c0cg)n*_XR}d`(neCE`-d>Svqy_N
zAPD+1sizuk0atD1wV_*3M<}B2MMx?%BVtTGk71<(3bK}viUpXvS^LQXCcHAC(;XPe
z=e^h<9u1?I7@nPLehq~oHUUx4GEj1w3}KX<8UbK3I2Y0%uCK{a!{S98nh?D{CMyoh
z9nl24=m&W-Ngq4|>}G@`8rqQSmO+f3FDa<RT<p5)-*jeqF@49wc#=iT4sVj2{oKj<
z*C^9W*cRmuO!~ApPAn-9(2nL^c&>)qs7;L77%od*oHt;@Eg|*0I$2w-3>6@cTg&3u
z=hvrrnNiieMTA84GrB*g6nhN2k~L8Xc|{8ViN*}ul*X*TaRv<e22)07MU&QurtNe0
zyuWUXQ)H;@x58I37vRBYz&jIyNhVWxp~=wZ0LHNNDe>bm%3IIT4^L(5lj69nh(5V%
zzp(Y>%UZuL)<cldN+a>^A8)K~==tu0npPNlzlvR}2edJAvwU1E>lS@0$$vuh{3>dW
z!%fpnWA9W($4yJ8J2W2q)CqRM^=rFt4=I@RvOHv#hJ0#OnAkI)Pe2ocB9@G(mW_Q#
zrrs7a4f70aQ|E@AsUM71j7*pkR*|Jr6_{d=JqTGKj}eAqzC8)*oPedT+uxm?FC0+`
z_fcT8VG~DCgoq}d?lV*-s-HAlc#FjppTesn#Ytgp7gOoOM3W3`%FK>vq|TbNRJkP$
zcd)`V81P{zroEe<r4Y^9^F3cVueC-Dy_i!ZSM6jKMCLn`F*hpl?<9jXd$r#kj8eX1
zHrKb3Yrx*%YQ0>7tO8AVqQzH2C>ZnG9Eosm5}5%WI(l+xK0_S>w9|r36ZRf}vupoh
zP`^w?`JO{mAIX|YT^+w+?}CWHIIAF4A#x&<%X6UNkRS|y=&cQpb711wL6x)0Xlg(W
zxY*m>Obn_wP8RuAt@h^{p^G)HMn3!s6s2TbakY_$T3pY(Qde*g!E@gFyb`-r$@!;1
za#~GUDI)rL*Y1MHSE$y(UY?UZB9{$IAF))_%(&qrlvnNu3Om%^QtPf)EP+!RjAno{
z<hn(JGM}ddj2)~IvR^!gM(amt^>*$A0nOUp#6Le$jHF}wIx9I;cgzNwU+JJj7=OcD
zn%mJ`5<)^#etmlu!684hKb?RsP&PrJKozPv`;>r2*OsKr1|LJw{I*vI)ri#CGzQf0
z81x?=SF6b7lUUaLx#{Asu~__a_SgrA1Vj)eQCc>mfPy%!;gD;Vt4}e1GTJnZzI<e-
ziG$?rVh#q279Cca<n+CpsEX4E7>|ZRNnipBRplgp?G&-x#}M{}V>1rdYKwRb;pay-
z+EnTdE^3NFCh6aHNl#Yoy3Nhq;i0^e-RLodfoC2#Ca2DnUQPJ42gq2GKTPQS>K2HM
zkzH~^?jImHlcEhmNDg~tY?LR1MgMufi>>BrQ6E^bkathZ9~@H1C21gH*`H^6S$zl=
ztcJl&dE&&Jh%muw=X$e$kmt*z7K9#7aXE#yA`$L-LQX-Gj^UqLggr?`>bB?C+nhZ=
z5mUwcH8L7Ah3KTNFy(#Ect6wmUFmQQcKEvy@#XaN+4jO#Bs*S&GFO6{Cck;;TQ<PJ
z*Y^X6wJME872SX@gMHPFp_PyX@4qn>;zj8<^RL!%+9+E<|0UK36o~-;ZYWopwBTU*
zWXR-EhS9lj>t=U?nkphhdw<3%^1EUuTilvdDPxrJXhh&l$8%W0D$g5x6c!1m1RQ9n
z^ga!rZVECpU%>9g1Pp%nsJ6&E1Iqbul8Ki)PuGr?$0jDB*2Fvox8qVe8}-bIB1(`Y
zR3|RE9*@Yf>K1rVEw!b(h0#C#H&^#7)dHHqi)x0)-P+CG13ML^B^qt3=F!;~7lZOK
zIrRJI0G<}U@*)1gICYPPXPf!x`DQdHfB63!>TVO4p}9c@c33n738d{Z#j$IasO5d;
zMUilprT;8xJ`)pUL^r9DL^~3*=rcHkk}(Qf9I{D%_{jnI7X56F6nUmir_bM^M5$@C
z1!dDgk9mlW9(j$*UEhyzy6~(2-U|CX;o$9@YC!&k|B2u2EGKvjCYF;Ro@24nMauaH
z=+fWrYA$33x5982JK&!!RnpZ(_nGBeFQ;iDg1I17YM@L_p-oeIN_P5P{o*A0Ob)j!
z0}iC?A9>~@=<IZ`BZLfW2=LjX3<*)0-nCtScc%b4>_p`ioQlfUnDOIU$9G|f<TGA+
z+&wmS+_sx>dTGC@0S@uXj>=}NLGDIgW`%7bIiBNmF7eBEn%jJ2Q+=8aABL3H1`K#U
zdRkQ*&zKGZH9mlYE!c?OUac8KG|p^NMKX}lveUoAQAl{hsn)Ha>hy7qMvvl16JTzq
z_3`TsJRjop(R+Iu-zK&uHQHx&$go{?AI3N`Wd6?EU8aT+@;*Jj^GRG+^4+qoJfmNS
zI!OjS;EAS&ThFg!6F<(6tVoksM6f8;YSNMP3YN=veE!p_!P=RTm+b)dyHaFbqx=n#
zlJfd5h%=w;ox`Gtssewa{3TC8o{p3DYt0}wQG^C4GfqTlBo}*|{Xf)124m2M;P>HM
zjo7^#i2h&neA<9=rj?oe8h&duuE->M;nq|n$=%ZHWL${?!M;PX7TAeR&S;>6-xk5Q
z-lY9Z#F!@s%Qo%_tshRNNwzqX$TS?|5NV`YrzW)tt<@K-(=-@eCa+Ds6k;S7qCgdW
zrN)O)6dL1_>507aYUvCTSA|8{5<7;`<M0%-pU&6KMvip$S27g3;l7>IM~OWU3K>et
znh|sl<R++H$;iRgUFL|X_`lVQS0(Nt(|tBG#Q3r=ZL+%`K4KejNcFypEHgSr!EE1t
zRrg1tfBmmw(@5NDiQ&h&2WZ$_nSFuaKjj2KcIX$$5K+L;N>W^%7=)WbpWX+lq&H~u
z2%PyTy@c+HVG}WAsTGwT6e)vaaL1l>k%2A9g?^Xn@PltJeYGz|>iOG|99%Un;mmm9
z2SL7%B$1x1FZWK@1|oml(0NA<zWt2Vzk%Ot8Tlw70I{k48OQt<v>oQS)@XXg6e6@c
zDEBz&3hCJmP>LiI$ZJqjs3O|+*I=!|EZqyKbLZ#tNw(^=q0;$Ad|>iS7TcK9eye=O
zaa7Q!UhCwos@b?c(+tZd_7A-IVK#e*@g^g|<jRDQzM*<yng#3gPuM-ThUaifruo(%
zoV3Y0bw4^CiHQ0bcue0`b=9UAF<_xLZ}Y6aN#zfQS0OB7z#-TsG{?9a6*R)Q)OfWM
zvc8p3eMC%K;^{88xAVaTi{ZWubz#0HiQ=%sF!sgfN)ccqf48T)5`pspY$$J|yG0Ri
zIkP+?947q(c+ytC!d?_#X%Xze(|T=0mFOG!Bto7}i<u#ytJXHx(x>-wuj!;V=J!W;
z+y32IpSMi}etnHYoQUsZ|AlUYTQByO8M=}M-;JdA*Ep;;eYn;YC~BshLig9hg7E}L
z#=UcQ^>Xkh7Yxl3zi9a&_ty$~9hpsrq{YB|k-q2h8r5aiOm}+TgyRr83TX4Bz9;MQ
zBJZLR>ibni$oZSQt&$dW<O8vflj|!R460RXmJ@DOF$4%fHSx-mzjpBBA%}MHc_{sw
zH7Ie>LpS+KG?nVIZa1Pt$dYXY$K5u7+%Qs4%A3kLE`F^(?#X0wB1^!6{+&rx)q`56
znG-fKDHgfoE~n=NH`U}IpV5GVhY{s+`9`H?T-iixc07Lo>4;vhCbL}#XaH*4b^YMA
z!@74@WbfmYn^eM)RiLXedm&_BJrl`AM#uAV+QNe~e$hbAkMvaJ7FEn(O!yT%Hi#TO
zEyNRU%Gt1Pp{4&USnmCTPEAua>KEq&du=L<EE%pj1c9CAcX#GC5IiEJnG!xj8B`eZ
z<WC%(^-?d&)QHJX=zUPc7TmTynBI-moZ4WL7Lh$Ij7@W5(}Ag65;ovH>^PLiW&Gwi
z3qdxEBpV1v#^UIo2U4}1hL0>_9rp{TCa_b=;IoOW`-fUM=IIS4i=-_O68Z~r4o#MO
zY7?t5)IZcl>0up~4=qPF_VAK&@yHy%Qc5c6{Br`6t&Sw6%igwBL`$>9T9kQ%Vt*}q
zdNVEhs-Aud0Xy2(6YQ|ax>1WEY$z0Xz=(cA14rA336hE8sgZonqL)dN-*Y7j)=RE{
z>_Zdj<HK)3zsytUdHd)6k7tQ77Xv?Mua3=*NnXf_bJt$uM5q|~vbI4*+HK=gPU_JC
zA1;NYenqoFQaI3d)4>@W29tlvK1L+-wlCsZ(fks;7uCv2U0k9O&~^evc=5em%IgRB
z=XWV*nz0`q%XE-CC(!6}@-fznzN!hQl9@ZbnVr=wR>V(KaK)kWl68wAB4*iPROD5q
zVi7&Zn8b$dk<+EYOL6h|x;XCY^x1(YL-@>H2;F*?=qxo22@=PLnr2?6B;{NhT<8#m
zL<API4eXKSMulCMS3_Yp3nx&1e6IGp1#;@lX(>cGIGL05;8+M>rewV+l~RAiNWEmd
z7|BYgXN2ZzNlP4wV2VyWN>Udyg-$PM=;WAXFI0w-K3}vW8C9-+Hh6!+uqFA&UNF)0
zP~#|h#9!+p7vO=xZHovkw~ji@T%a}5kuT1!S!P^CY}{^^=)qUc1;|ak;BZC6)4WkV
zGt8Z3GdUa8s*yXzY5$%NfKw&IFs$7~M{;y0+}8>EIQ4WcPF!M`CNj}lP{PKbzhm!G
z?(GjUR?J9B?&cwG=hmeR!RP%Q2D)ggk6B_TH57<~qg4%p&IPryWB1ay)CV?F7G<K2
zgkE7`;{)2*z;=?5syg$or9~*_pfQ1R$ofU~^2joMpu@<Y^_kKQ%7_-dl~}zXyzLLH
zy@r>m96#_G1W*}(Xw^6AxY{=*auJ`Gx?EqRM93I_bpmC%!_?T~<|EMFI4RRL#V3AV
z#6GP`e&dzq4|PDUo;UI8)0ira(0Qk`kw}OxN@7O0#E=MwAL1!x_M;|23fT0j%;<~`
z%7AG4&jpOU@wgh}Ix!!?@B%aCjDU2wmAycbCtp33z(;?wT%;EqtGkHy#j*o_w#yqW
zWGn12#}e$ONrZ<I7ih608HxVDEA?|VLZw!}l@pZ=5yN|sd)8_7pp@;y%NIrqj#ljT
zHIij;!UcoQ4f*j)+Htyz+e{Jn=B0pfiq$85I_18+Q(<DY0?pc_cZpQ*BgZSzc_ijG
zdDH5hcgKpE`dEIku`1ApCk!F{Cy+`;L)Ohyp`wwi(|OP7ywJ3?#)Hd1NM1LndcaVA
z#-ul%#WF`|JtyUBFezkx5D%!$Mv=_qm*!w=esRxcfS_F8;WXAH;38HOht%b9?IuIg
zqNn=v>dV>QPW0Xhek>o(Q;CE&^&;;G4_nqnxruEh?tEv%v}&k#;o}c@deioZ_Se_v
zykiDD5K2mQT20o4>x4{P>uoBU`H#<iCLK7S-R~6F9iLd5UJJu8*+z<1(B>k(>`B6?
zX6vHpQ$!L-Nv7Vi&S2og=-4&qrH-|~ro!ZnRV>ZAsjA<=jKMM04^oY+($eX==1>C6
z6|xRbi(!G3*-3OGDqBbgIi5pzPBB%1>*O3-4-PRPBfe2E*_mZF1#3i&48Rv`dcC3A
z&kMe0Lce9r?7tRLx+R^Yu%$;`)kT(geWSH3z4b}>V00Q0&7-G4yXpl|Z=ch$OSx(S
zqGI1i6|6kFG9uuccr5|d%y@<D4dk{>c|=b6b4Eq106&<6i#Lv@#!wqc9Jsy$-G<ET
zL7B~7_KtMLQQFg1JkfDU?9#^QlB;3BM~?G`rb38Cvz^`!kn<*BH2r{PlIV}C`$+5y
z$b}Gl=mA*OJ}{3)9%>`boXQQL{g!|Z8ezqh>$4>pWc4_R6~0|;;7k`(%Q<ICkF*_R
zT{~mb3>SXc``DUIj{a;ykB4O&!795PbBZ=j?t?e1D4;a*_MY7cYeLURqR~ul1H%I}
z)Uo>X>fN&Qxc_A%=w(*ANTGUwS6)Mu{s)`vby+lA9{oc+yja{*IU^<Jf@@mI5AMq@
zFsT<5>}hD!kKvEbNptTs*ImL(PJPp!?F2KsYXohDu<6@J)yi><xF$I$%Vr&8$^hav
zwbRoVm2JlRE$ZCWT8nwxUZ3A;JYpyt5domI-sl>7lZN<?#K!09tb&dU4uw1fWKI#@
zugs%_^ebxm6ZS|)(<yyci50KQNUA%P@X3o!7wz)&2a)))aXg4p);->GrYLZYq^WB_
zuH?Rq@ko;M-oTwD<O?E8@D&7-BJdpv?U&K6;2?~#O-IMbEtRP+KKB2Q6S3=qIr^~M
zTzpMtZ0S{h2&cRoqvbTgz$%$IWQ}XlIm;0o_nsZLb8PmHEcqIkJeU4BIvVfm1uFOi
zFhTK)J+4+rtbZoMDJ=_w{@QtzL*2}9Dht!>N@U`q)jGJsUKCm(rZq?ZNWP}AW!Nw6
zs1Hr^%FAOp+MI@Fayo9PArU(~7O)4PGa0;PM%xv%=aUIkc6yq`98`8vWslIZnw3?R
zP{=Fgc?26$D9Ax#Z6EY_{%;*BQN2}j;^@@usP*P)t)-;Sc*Xj&BSKZ3Rwu+T*YkUO
zVOPUURz|U0Jpyb=Bjn{aL_H58*BFJA-sH*b<m%fyIgHFb7u^;zQX9rDlt~NON*~>M
z@C1JV9dmUheQA#Er`Q)s!DFi3c>|U2t9(OQL;KD@>6hQ8fwKMQSXZG6*3?|nN<?(N
zy<@2s&Oy*`%e%TZwJ*t>pD-{;ya=@l3>;|hn23*Al=av{u#Cr;wV!7W>*AEsW#An9
z2!q7i0cY5lBw*pA6@jKBg!r*GRhpDi($jNFX3hTTeG%Iq+b{i&8<bNG#~@qDC&}Yi
zt+QZ3YWb*yu|^mFgAeYYX4P5T=<KW?UO!7>Z%EklM5BD~Br!IzD2y)pJ*|WL>L(~J
zN8k-ET7O>OUx}K%FPEZ!F#8%R&!MWGtcb-8Mj*&I3i4t`(V|LKMRnk)3M3Z}?jX9J
ziVq7B;1p3yM8~jC#?g-@7Ew#1!dU>>jfqGg;)QViymNZ@A*|%XR_6Pj`7hD|KfaiM
zFY9+(Z?^0z`P8LbBo&}T?E{zO5nxKpH=P%#|5}-_J+pKnc{(xLv7tZVO>nw&lsA1<
zkvs&zoO?Bp2<qY(-Rb6vol*HDz|aZkFI`;D{FEA%w@$Zh?PMgOmtKoUTbk=Y6r~>t
z@)_4D59Z3Vv0p8@6Dd;6&AYg}e$}7a{-W@%{v#0;A73r(w%yPG%A8~5=rN0~rlrUm
z)JA8{Y`ma1zOLY)@SMf=v0<eswBL-q%Vj>hTzSO**zj9x@*Z|=?`AWDt5FP%2+r(L
z4z;HpS0Zro&LZ;nh%s6)IIY$!_8a9UuQ`<$mXn^F%Q@a{`(Yzx#|5^zhVxyDw%Oa`
zxsXLJ?>N9JIu11IJf~(MhpUF+60L(jj!0W&YM8d3P*SZ1m=VeJZn_<^ZvLlTN`$S$
z*3ws2qQ};WM%bee$}b&=+_MEGsDe}!Y(`qjMW0o`G)J0?#>HlXv1ZxtUuAaW>+D9=
zqls1^{i&%Qo_D_yERRu~g^a(pP1>-1+UdVYUlaV57&N*3<i)44Y~I$nAixL{(e!8&
zgz~2(9%p|B!Xt7_>`Fst#Ie?}&;uv+@@ZX((zM5o1bG>pxqN?`P_8O9((>9qPCOiB
zvS%^_Xa9q8O4w1OgYb8GgR_05!{=lWet*ZJFakF;?gk2)4=ZO%D$9+7nd~(ll#Ye;
z&O^(%g}~<%!oSSd|FY<LwErX`NWf!lau#~tWoAbQ%o~{Wp|z_p>7E4C`w?*-q)aZB
z=4Lx+I7}wJW+7!#aZ;4K7@9xE*)R)4L)TL#vWS{zc+doHqB9+|J46J!1vF&#IgAC^
zEf7ZrN{wT>jlJ{?&7<ODoU`50vm{-vBGl<J`Seeo^IuqUb~%WwqaUo|n?#S{o}dsS
za{S!MIMv@)d2fn0rEH(Vq`gX^xnRk3b}V#;GCpOn_aZifzA6c=(C;kL85sjU8BA9q
z!`|6ojZ=KvSlX08nOPyQO1#z{)5z-AOubUpD_F%1_nR{A?^PE8|25xz;nXh55wn3_
zoKvKObu1Y3lz=W0jPu^uOf}uHb>&Wa9ab2e9OR^wT_5{;5y%AfQLZPasSz(q&{A*N
zpAe~d@{E=r|K6nZGTK>b!K%Fnef#0oPW<Nz#;XL)HA@m4x-<38B-W6w?#GI-s-27`
z`#Go%<!t4<+w7J*(t8W)ItK0r5RoQ<2N7}P5gT%b8`H_&r<klgznJi#waxsvUhqSK
znG@D=@8(@u<8vyKd^=;tZ&qIN60EP^5+G4uy7jAXiT5x*I{7CAMi?ZQFuhFFDh_qN
zkDNUsFy(t?T!wkmaA(KeUV)dEIQRWeF1p2^z7wP}pse7H=PnR}s2vya!8$Hhr40+*
z{klYKE{LR6@(CyC*Zr9U$8z<zmZf4xcy=blWB*m%@37)<PZ+Lu@!v1d4Z+=Qj8FWn
zmZ>ZC6@@;qQmylv2yzg=e;_5x!mx(^_`RR3G)3z-eCih!Iu@4TIKZets+8!qv*cw4
zB~#k-55E|4U;i`osqZ#}h4i^qp(Vb+4$wpv!@`t{x*_Mfz5at{F3mB~N5v|B10`=-
zsu_aQpA!__0x@|eqy*F-;cq^Cd@U&HT^%my2~ngb8I-(4VG-W1e6-A>A6+|;KZvCo
zcO!Lw*yf<Wpljij?$#j+r4gegs+rKatM|9qaB;1K_0xoFO;7`W6Z`*ZPxi@BH5BR`
z6=iRAd?r;f!?N^z?HOaHBeTX>`?y$}2SC2<_zx>L?-~m!yr4F&nzo?pi}{(3$F+q%
z3L)aZ|FP;F@FXqgH@;erol4@ssFxXO=TF9iSg%%Jik2FUp2vb3TIFqG>&ztbFM6Vt
zB^cVv5(%t;3+HPso~j3z*V)Ja*-SmtWEVJ1sf7k5t2PRYix*Uf!NHqtUGMkf>_%wU
zC<*g#5jUA_=HnhNp{lrVNRziZu^jsI4h$=tfaL52EK|m$^uTHc<o8o67RqNce-0e(
zaFe4JBkM`39|v<<L=O|=_3zbh+xwg7!;{)zV<ry-hx`qTOvhdltyT7y+|2=th&@^`
zcamfpr1&<gMz7U9CrJYjzHA9^AL^@_&Va@^l;$2<(2j)8Sev#yx(nH0y6J^(bbDml
zI3_&^i?=%|QMujd;WP$w*rbRYSo%4ch&&ikv&nl*0UCtE{2!J0L$MEEF-CiWNrscw
zc=Kh0_k|krqo|fs9GiR}fAwuIxxkB+);@nJi)T6yTM5n6QLST25&hKlu68*^2uLO=
zbP0dlWUPQcOiU@~`akm$-1G^war7LE@ar<qk2!0Bsud;YXWRbprzbhi>)E(WO*4Xu
zliAH8h$N2bu69i~i;bNcUHa~sOGhz+qgC~wQ#P!EmB|U_T=qe|10z!9$S%hNnC#Te
z&0p#5J%FYeUR)=W^yNKAK(tn_9KWS9IlSFdR)VNubz!sVf?ec-w0*28>!mZyLEzYM
zMhnD-SmZsnF!Lq8azDtOBP4<2%RY&iQY;+5)pRb=|I|sUoV~W)6P$XG%fua>3y-1i
z#`54%(xS5zX!B62RCjhVhGx+X2{hV2E!zHekUYz?Dni-K{sAmdzPI(VtTwylFQDwt
zM(O7u!$CA!nMP4+=$$Vo$1a?%t**GAG>`2JLxWC;Rfb+FwH^Mpp+b~#ph`U{6V&8r
z@NV!q*1eqzJ|0+vRd2NQm+erdt2>1uKQp}@N6h3~c1ftKrp4x;IHwj-goq9PX#iz%
zZ2Y8G^cxe<1#x|F3=nQO8m(j&o+^r8#_~y(a(zXwt-jXe<pO6}`$g75KX4EAdvV=E
zJ`>uezMrb*E{m7{t!qKFF>K(UQH4EO3FCi5#ja6U4knK(^Z#0H;I2HeC>uxma_lBD
zR+nOw_LxJTZgjXr|BjB-m35WYs7l#XQ3k@7Ls6#A&RywgdHLxsV^u-`bCk%0K|=xA
zR0XElo60^>B#Pr@EX8__6KP5m9#EzHJpGJij%0D0M!mAH@^{<Bzlk_634N*V-hK*E
zhL?V**5MU%xVhL#{I#A2Hz8FPP_t_n6aB7PsvVOz$Ox0`c(BULXa(6=vs8bOTO{6)
zYGqeM!e8a|e8{W60a`y{W0=K)D?*c*@P1XJ08cKV-E9vpl<1`_dv>P?O=Rl+Xo_Wm
z7wzv?{{f@PlyuZi)2<riG<YPSIE|iTog(XwH+lMfl;`Ql%&#w{E7yMN?Wx8B1N<zy
zlg(6U?`$==Q1!SJfEU^<&yf4EZ{YLyW>Mdq->B^|{SSy3a8}cZh&Ad@$x}~ZhKifm
zvWqVp3;43BB-btq8l$t`3V}4Bca*rkOYxMNr!BpePqob2Ld$|#3DEU-$<i9R#2rZm
z0{Z?&qYDXGLKng&q)RDAH&!;e?O^SK$c5A4^75zi`*N5-n+{$pT1E;&F}qgXj*QM%
z5#9~mjMu+wrBz~G74fXJ*Kc1689^h#7ZXv|O0pa02z0>06hBMEVyw;usJslyG@SF0
zM6tpnSp=%H0ECO8DzY^dosb*>#+Mc8H2iLy4Oyvq6|Sj#oGGl7H}R2!f_@v~{tQXw
z7>t<MO%?oxnP?c@wX_SBm|^uK*X#uJbUAB3Qxeb)9L7E7kHD$v+2i$f<Y7(?2|oPl
zxtk4>^DG*`>?tOKw)!`CmL}K0*bm_e2>cBS^>}7w8FhHS?;1NJLwRYnA9d({B6qd@
z>E}sBB7ma07Q35M7jM%R2Ev~wO27qcPgEt<4Dp~VwZC2~T0BVOqy!`P4KODeo8Tdb
z6jXFUfY^mD)b3LW$~>D&OLomm!O1W*j_KZA?s|n8$lBkU7X68C`5p~4wWc|_<hBhH
zg1Ai@XE~LarQ~-i)kw(9Jx%<QMy*l;#EBceWM`EgH)k>1w(qRlHK$x?2;+W@;xv17
zd=!7QmpcVpzCsxv^*gQ%HLRcDC4w8}6j+tttWvR@SgsdAUi#VPyCmj`<-V<SHVSD#
zRH2=q5W1zEJ1SZ}lOanqya6LuCYm(N{KCeiN#_v@K7dO==;?5xxhaS?fTm6=Jm(~w
zG7mpQUUcgR(@`jQY*JX~zu&bBs}?sWGhuO020?`;^InqLx3Ly{zY)n-yrD#w&&m*A
zkd;A9a%<CdKvF3<mwDxCwjLvpUDM-1ro`U<`PouVeyQxMxJ{=S<tQl1Y6Z=XPA;&`
zQ7RLt&7%Z>)+#5#aQIpGZ76k2@s&8R%Cp8vDycL=C_SE{1D{t2v(jd*;+@q=Bf<+*
zU(Tv53grMdD6t8umWIkyIiU5W6H0nZwI+I;-74*D=;pfdBRD2qp&Or?0!bk5rWDT<
z%G;jqYUKZE{AlS-F%$Q9R{w#+KbKF$rDiN`D+(w1a|YTR!&usxDm0a7Gd(^k%aHz=
z(tWiA2scusSkv!uoZiRV2eh-QIl8HKq2z4pQadB#r`T@$xd~$x4dowass0qLVc-NP
zMrJT!_n?V!yL{%{BkDHez<s^Z$;Qgjrd3p(%4l3gI_7w$X{z#|XOQN20^f`x+E^5k
zTDszV2<^gJ?Ryn|nouVfAk_o-D2O4XLtcoOP19~4*L`_z@cD;C1su%sxIK>A1w$91
z)V7+Gi5pEc=GAZg!&4h=^syw3HY6oMPHG8GDu>^;<WZn#HV)wsGE<@(NtLSU$1$_Y
z7RlPg2W5O~tfWVC&#vs^)4!-el1BTzL{*x0e|AOr?<G+R2~tOti?P8ZtC&&!OQQ&*
z38Wkcmm*w6eX{&ud!cOG(!VBaMsS-W3Qc>Dg|C{&PR7}T2UwSs%B@$clhD|&#NiHe
zjT6o?+M`;mm?#)+oH7*htytfgEu@8>zC@9dKcM_7|I9A)*SN?Q6!RKoF?jj;_f^nW
z6b2jR?C7Dz>QCetXO6)PTO=JZR&ry}%V;h~2|-O!a5c{d5pUAswFw3_QpW2l!R|li
zAHJJ!c?~pKd7|VhfAY3PZElRoY?BC3Hj(i5L;+nAxd$6-22l1u0;P&fOG{x50b4Pa
zt4c;gZNyRvM&N8K|E5JKpP({b+qCuH@7BMV0{mkX;))B@vEo_I>~`4!q;K>;Vk3tM
zijbUd1mj?W)W&x?5om_A;n8*~SQ}QrB%fD@?96+xcXLzY3$dt1&S%<olJH$jl*u$&
zQr~Wq*O`q}dX&AWmyGaBA48P8r#6EJYF>N;MH$jA_h(5JwM$eQvdDn1@u&n9@iZ01
z-$#5E4C+e~ka`z2h@y5li=;+>xsSK*y3}mJE6bIQRR&1LunUOW#a^?-U73ienVnO}
z_8-K1FBKqxjXH?ej`&TD4a+o8xd4AAy`e*tl0&@Lg*rt^Yi)rLdgJ;T1v}t9O*{eS
zw`4;+ELmOgIEi@7X!tCbEdQa*ZM0Z1XSH5`{qbsk(Bz}b2Fp(1mghg?3JGKvtz_gk
ziv4fTviP%NLjKRqKY{0uognLj-%Gjg?@-t^Hl`=tuuse3rxta8o6}`ckgss=WwQ9A
ze^B`MLr#x%r(qr_#o+@=0_l$;cf3WJGJ1a=zgcBNO@6$7xwDa?{!K?@W!;(aA^!CP
z?hn4y&{I}X)N^DmL|tXBSQh;n)Z7KnPAk&7myGzxM>=nG{uGB@xvG7W|8pR3;~0vp
zh@E}C>Ef(;i+XU}IF#9L7;mbDIFhW*>LT%kc1EdQ7hU3{xKh-Pt(38!MxZeSM!~dq
zOOqDs5@{N}?J`y295AeMyU(Sqon9~WuxPA~#oV=`wB;^sNysPsg|0bJu2?Ghvx=do
znyI<T7rlFN|FnrutX~l)D9G4NX7L?ISg=!M%!?-3E1$HEl8I0M@b0C%hMG?+HF9En
zOjiHi^(zzv{vR~31SQ^Ka(usw{cNH62yS*#?LTFx5ok%e27D(>EXJ*uFIdQ}E!GqU
z;8Z?CkpSN4Q&b5GT_Ik+H-tt4rTR@|Zqw5`J9Y&HJrZ~|4%97MuW{tKs^DHK#-upt
znB^*gSez`SQpL^EMfN)pk?n%Y{xuXPE()f(9G}#qMIkB%xdN;SWf9NuFxj;9IaHHH
z@mU95U{QyyvAx3(U$r!M6$8$0vC!|@Gx_LAk1s-I%(sm-=zpP|Zg23R&~5*i14MX?
zlPK53w-2a$YwMeT)UEEj2Z{!Xl91US1CrDiBE_euSVh;{frtI15N3%+hE0k0Hz_EQ
z?GC>zN|?%g9f5o86X@~}@PTrlt`UA|T-FwdQzypCUiPn!fdukXVZg{X-lMRAX0vBt
z4V$*hu=%jhn4%3vRwha)V*dN<S~Xb&;UCnL>%=$TZHq5&KHpWN7T3_r4D9Cqf9j5Z
z5FX`MD06MtKgwIK>E%C<=Jz;xd>WP)`}yOpFd3sVV1fZGaEi&UL)!f{-~=TrG8Vs2
zc9t1od_oyeU0#*!Tl9_Hq)K1aCM3Q>$!tZiN`7sh1frY*J-_tqc&|QeX2%~Oyx!iZ
z{+H^E)D&lovw0(zX5#p*m6nmKC*;mDr8+;4qg7w%R4-5TFAKeheQlKasBdL(D#}Vr
zqA+{)&+6<`X?G$1IV0UKtq_Mgax(H7$L{q=CS_R@&yN(8A$bTzf_wdK43P56vu91N
zd9?B;=PPM|fKPuLomg(8Ik~mDrE{zxR$+gF3Z0G{YEkr6huFs2u^W)8h3>^tSD*Z&
z2ukXAFmYvdW$(V`(hg6(`-k4wOg=}&$*%gFGCYZGx*^A~4zAR~RdX@RwN=+-HfEBS
zWAN###s)AV_IAeVzWrZ_UJf*7nMC^G>FC*46z)=Mc-U<Ii&!o8y!@{Y`GXf<6ixKa
z0quOqjH&c16oOIkza<Q($im_XTXmbQKZQKtHRMgltNCl1Fsl(mq3iH?$5$577q!mm
z!Ht8LwOhktIbJna0WD#BKa2kR$w<c0_@b3(|II&fkNe+$LhOIY!*I+Ua;;z2AR*Fb
zZj3L7b<)N~(kVw*SgbEgEsvW_^fYoguJv+0lwu?Jp`fv!q4_gpYyQJTYzbxNY+->4
zFN5a4hOQ6rODmj{iU+TX<-Xnem1O-CMIVa#{0ZBeUntW3);tQx1;eQ>!?ys50Be;A
zAt&7#btauRXL^q)uks|HA_<*g_tTMSL?hxN=fnQ1g=i*+pBIH)P1ZmDE6h#Nr$<8>
zoE_dS5$!G;ZYbc5V)p*lEa9Z-PMnWSFcm%-bZ$S9f2@$-|GnU|zb7L}pgNagbDa~x
zmTQz6b+HSB!#awXyZ>QAyvlC8<*sn%rN7GfUr8i!GzBNkIA?RnyyQa*AgOA<$i)L3
z8b}I?X8E(YHWMl5F6UE8_@0WU%&Q1>{Z!C2Axs6Lx1;{VLmGXK^PT$(t~1GUc))G?
zksNIc$52b{ORmxMTP6!ck){BFH?V~n;~;&Oe2LA6(<FVZPf@xQ&F5$9Y*%NM?;kkk
zPApH(V7ghG>>(?Ot&+#M02Xq`YzwFR<QBCQktx5=O8)TdtsNouo1fS1j5c31T>gk_
zD2|O967gMfO5Ko6DH2(}L=jf}TI~OuwE3nMye+=zW{2yP`UWis>eYJrTnMi?_AyvX
zK-bbT=u5nLX>W(&sHf>RL^iHga{UZtU3>ozzPV$S_m0;sJ?s+*O@9a@%1XSd?$Y?z
zc|%KJm_u>z$Sagv)5~~p=(3!&H`umiVm!o=S$Z99D}U}}Z?AD|)c2@0C0dyk3yv&K
z0R~)}Kxow1t)g8ws~v*{4gY!4JjEft4nfO%^s4PBZL!iwPtljz&7IM4B>&}hM8A-u
z&NexBHhZy632{~d6+H&}_^h*UHkA-rb$5f4V9$0`4V6y!@8cJLs@(;wo#{V+iU0f7
zX@sG!iEDtJOZvrG@g|P^%ny@jEFz9?U_>KEw(r<m+<4{Qkh1dc#0ef|1Ju6YIE8sZ
zxK_+8|LQlnQU6d9w{x1mRA?1qYUfG{q|U^aiZXpT*j4-oTArVm%2-^&5){QK)pr%j
zyNYyny({a6H6t|j5C)C-H*tVugh&k9I~w|za2G7qb!tM3RKvB<tK(v<w*O}VpcE61
zVNuWh_F;Xd-lpS<aqMGGW3%b)oLl6x^W!zYB}tSgxlOe^4qM1NyNk^^BPxuY_uKH<
zC)jJp@0h>kO(c9IVB&s1SeQO|`D$^TKeK(<Px`biinD++k!|ZmaHT9Y%klx5xgNhd
zTxX??8(Piz--&OtRE4O300C_ZJx^i9eb`bs#fqQEbkyo5bx}{5C!>c~a5xceJ)AtQ
z6tkkL*wV{r+eJ$4ROd93B)k+`=%h-@^Rzifq1}JG@Vx!d0pP61)$~~ZsV23pngwK{
zvlPg8AZ8K2dmIe(Zgdw46D4tg1bYv@nOKb3j70`)l6Qq3|0f%6YBX<l6gPNFYJ+H8
zVUVyjb!~3Hk7t{*O2>^Q+9=L9O{NiVv*b)Q9LC<T*ro9_H2-NE$ONeALpsL-YHjX;
zn2Y)LeiI**ejO_?@XVKzNbSbaa>D`5V{nH8P{u-!zpI9w8Qyl$dvwJX8P@=00RhS-
zTexxAofe@(?Lp>!3=4Vwptq(v_~G}~2h+Eo7GpZ371CPUpvwte<wlmu=+<YdBr8+G
zNkt2>1&irXWP!xMAxFP;uPVM&?%Sn=4}X7sm?xund13yaovWfcReg87z@^0kqmNJg
z>=Bj5kihd2wq_0?`R$nmf5M&|eeR0h<i|JJT|kjK8{l>Xt;~QA&=)sfg51(tD1Ioo
zMzouf?IN)=Yg%xWrY5khihj>}Qd~zvs)UNL5GoBWC56srvSqMS2rvEHS;tgD2I(RJ
z{M=<;2n&*W0T&0odV0>c!Cb|#o-vE)IgYLW_+$(ZQa!i#?^;(^1*d)2inaR6Duu;|
z#&M?ZzgXQMp7%1N6&bNue?3O0quDkv`{|>5rS@y<OV0Sx(uv@^DpoY3^+cR85Z)+q
zR7_pOdDXGRh?f<ON|tCgn>`?63J!<vwLo66KjnX~<2<%+<3UM<+3T~tD(xzb%mUdI
z<*9W#^}$Tf%yubGFBD?E*sH(&kEU}Di~N1taJHLlyUn(3+uE$n=45QPZMS){xwRSJ
zylvcE@9gh5-oN{2j?XkR&vW0`b)LpJS~HVuJ?j9uly*gGDRC?Xav<YS)0o{TpPh3t
zD^o^C(*gZ$^|JOFA#dVJRM@5g2g3#HPkja=cw$S>&g*s<E62Yg!cy*MkU4wD{P^xa
zbb@I66@RFck1u!<8LV%rv3)sX{q@Y>!J9ZJkPwZ@eGR9Y(@pNMX;%*4Y-SIAiA+m6
zzj@vX<OMR;9H^+r57k3kJdG~JC}_{1LI%~7A0!3bYl+w4mRE|x(7cx^LbN6Qj*7zd
z)M8X)DUb0!R=b9#?)ndU6c|#3ps*3Fz<|`#CKWL=W=v~5DDjmq#-0U}C^;kvzOLYh
z;H$;MF{+&qhU@7<%^V4T<I!1aCoF{}`ubYq9~WQN!{dUJoS;^F;XE1`j-gSWu_<)5
zWQLr2hVKc!wkC?D>)Ho$zsrAv4P*4cYdReV%H+XI-@}D&C?<aC%iVYkN_f?yJAQk0
z9@6lLwm1$a3J+7!)=d}z;T1!_MX0PrMWsexuTG=*GACMCU=yS=lnC|F!O|!s`wsW*
zD3JgJ<H8~#AWAQ0GhLf;fw#)9<qy{3gLy4)rei_IRe_C9)of<!V2WSN{Fu;k=izj(
zz|QaO^Fb8^_4NrO8apT9|BY0fkK(f-IUSdnsq`PLM}Zvq>&o3&GkiGNq5F82gVjJO
z(3H)%iZozj;bw1MY8FLFT1uLTevqPXHTVo9J;TVOF#0SZX}_hcoEp;TOiK|e&fp$~
zPGPeRCs9#Z3yZLNI)TTTwVnz~tcgjy_dwe&tFrTFI*xm%`v!j+5>xSCx^+92vJ%Vb
zc4Ozxb&Wy=zN&9;ZP}U00ili`$}vm0)kM>9c*c6^*!{Tom^va$AnLkEk^Hu#24qfI
zLqDga8%Hl9u4ACC!{UaQlC7V1{sZX)>FB35Y07#v(#oQ*aq5DHLsZG;sv)8jyS1B!
zCLtY2O#Pf5HC&^ls7B6!*zvmpwP8Dt9h8V)0aJ|BCEYJrCX`TsD)E`REXjX%X)Z<{
zl?uWO*Gtf{=YfQ(ZS{ATOB+Y6eUH5Zuf0aKf>t}+?lF`?2@P<~-CsXj&MVEGDlG_x
zS|S`JY&x8wtVHD4pcY`q+<DCqe_%oKxY1g{38FBM{Kr#XVM>hD!K!Ldz2rC#^3!l@
zDOJlkm&slpX2r>kaK0G8H%yi~id3ePO5CwW2Z&emy=BpGQFx{(8H$4y%5unA$o?Gq
z3V!rxP?LW>W2eOE)8xWh*h3_e)<{kK+s*@H(o<tk$y1=?=B^cVOMzM-T3kPa#u88H
zRw+zFN(6`uvKVC^r3@)@9!I}h`~TKffVP%Z_<OOb8!6TK_|j(4KGegwhv^9^vSEl4
z5^ywWH07fe8RzV082kx!X;xtOsUl-9RFtQqSqUr``GUlPa6YwB&nAoopQLI=j(Wn(
z!VNhbu~2A=Ye|{<FkI)gXRe-34!s1Nr+!96&@twJoUNzGyrCM^a>|)RamK<@=((Dg
z&VhI8_*q8+VW;#zc;(!CSiNi0y(5xk!rFEeq@J1zEXiBR)>HCso8SloJz-F^f0D-o
z9b*E-D<U9k?bBci;=hfVcwnh;>dnYka#<2%i^tO=M$wbhPL;rm_Q+5f`Mp3tEKjZr
zNZaj`P6+C=mB|4>mh7^-RZ$z3Qh&tuD2AACF|p^3ek5AmW&u;G=~?CLXVOBdU+$@v
zcO?l&-J8@!SxW<0txLZs_vu-((?ROBTZlTd_w7Z&!}dX>kTXWD?1t+6!q78>v1oQf
zXck+GIrV0(Afkkmsf}qrkst!jS;-X10zNFzXuL@~<ferrRIww<{JvMv=R|dN7&L0+
zY)sjndsMJ+L#uFkU0(?Q@lB##D8<{h9&OQ|@zq~9w0?q)%%sShy$<9?S=V6qVxK_5
z?4K%7{UPw%oxdnQ<$GjtTcY}cg$nb8MQN|57_J8^>r!<ULdv)HtdZ<dVhh9}c^fgw
zOx#A=`}z|Ux<$fe^jJ?}_6NpLb8g{vYA;Sl3mftOtWYbtAUFpZu*Sc@n4@6vX);a+
z$1*V~8%R-L(aaU4uNzd9L1&HZ9T>Yaitm+4_~G~~l6mS;dh+SLPW@874XUL~kHELO
zA5{|nChg6xnV(}aeaqAQTp<8K#m30=okl!4X1z^BxLIXMD;l-jL|!V=TsQ*4OCyI-
zo{F)gl$-*FEA~2CpW#EuBl{$W2`80wjlM^PR>eh|J?Ef+F}J=7j<sSFR+-SqJmz)V
zaSvq~Pp2I|iVk;_(6WkNjA=7X+iHsKxWQ0TE22RsZzjZAhOopSOS4l@DMc)%gp1Az
zE=5P0{t!KV>9;3C&G&=sJ%$o9K1)mDYF)~E9w7^Zy?EA^rH*rwd2%D1RHse<>Gqx3
zIvFZ`V#GsPvq{`i_jQ>w>Qy9ySSy+poYa^hIXb2Wx)p6eQjNk-^!e%a7HOa+{qx;0
zZmiaj%~Lu}0|o0<@h;O)&SY}Xgu@qP??29bRt~k6V6!m=y%UIB!C4W7d@u{*yWZk(
zgqLtM>`8o^ARYQ}!0qC}$X<0^LADL~3{&Z$WztSnXHrRw*lz7zOWWRp0G#%4l<8=j
z$+p;vjtq;G1Q%Deo06`V23gfH^Dy|jc_Ec4S)r2pViFY$23ev`^TGdRnLfQL)w~Lt
z6M4P-=fN_rz>5Q4*1N!Wp5OmGsOS&RJ?QrV+l!B+tw{Ic<SxzvD}OXKAbd|H$<8mj
zz_Yk4W%m<35<7?(G|&Wml*_@!6Vx7rf-TA#sJG1y-lF8pTwrnuf4yWTH#v&|SBy`C
zOa#LpomFQX>d=b`vQIf?>68(g(F}?)jh8f@gx2k>JhP|q5NSdR6n};3<b1v&airvf
z(^%vN!2fY`SnG(^?Qc#W#PDuDp9P<1wN;_6$a`;oKi5cMo4)Fohd-%RN^5({4lC=B
zJF7bsST&lt#HXQ><h_G=Bkon02io($3^>%c&HqpPTYJ~|KQ3e*V-PZ5rA<CWsmNr%
zfBF3sQ{(?IwJra}WLcUwh?qooimj;Str9wP`l-v%?Ws{%az*A}>T+h_7N9&zd=$@x
zaW|nf4>E%oPkMYND5CKtzJ!iQ@5M&Ro38KBR)!!$asQWU<^c7{f&O<3H>PfrmRBZb
z5Z=W|9+*CMW_XiK%Vbm0zq~K`RU{&fM*RRV3TR_B|FM*CAMutBjBBu)p+HN)O@Fwd
z`>Jn(gMe$*Z+;QcKd`aySvSdN>ezpM<>C+^vp)RD-RPSj+SCGbAIpFe(_edJ6W%C(
z<6O~G<eeEi-2EDjNcZwilcSr!NBf7E{jx62t{%FGsP#pW$2RL)EcOcPKxvYONhL!3
zF|61pOokhC`<2MrI6K7bW)(W|elHwdho+%DuU=})WuQ$5i9R_8?|P=}bPhS~7ieD$
z$|kEk+*|ubzN4=4SxjWS)8yT99qn#cpPIiwoMkK?^4MO^fJKS~!7Z$!fru4Gpqg%F
zMKaW-EbbB9$20i(@{uiQ60|g(HCL-QSbgvXDIjQmc<v@(nlIRL@W!HbB0OZB!T<{A
zxumQ0EvLyDxk>F-Sk!&Xz&}5&@<Bo@B!_3Zt~t>+1X(2X>#v?3yI@bRAi2)1a%v*u
zo;S(I6SmMnpIS?83PoaMp7mhxjPx|=E&%XzCrb9L8@J`PVJpKVCWPPYctmXvVFuM-
zPGz{8=C%<XtJ`A=H{F_`XXC)~eW8Qs{O<(sdm!lyN}Jez+1uB&0fOciw<MfS3z_bE
z&mS|hY0Vz+$6Hy?m;0sV@dG{_F=L7;L(04yT{8Tj$Zb+0>CCKZ6LnOzp8J3H6R^AQ
zCp&L?KR8_BfRUfJOauR;4A$OOh2^2__YovPYQ(j^m=0bzBaFMlY1lHjx_CvqddB|S
zU2-2J^u_Bm5G^Verf*d;|7VY4x?@G#oNAfq2w@~?9;b{Sz2P>gj<x3EMkOKwK^%YX
z1y2&chCflF|JV?rJ|fC8Ps=jD5^c+9^t%rpIWpSk%OK8mEzkNE`s;~+DqLXWktNwH
zev<i@U0%G=r$C=AtfMT;#C?}QtzmPN&O{^DBVi5?$y4#@gn(VsvaS>krLgk&jgvd<
z^@uJ8l%5psgEF-xY~|KG(2LFa&GU^*f1<ft#fed2smo3yXmaV==M}5ffO;YE&Z?we
zqpV?8C=<tHBcE*^+FW1_Ds$>v@8<TzWcs6<f`k_D?lS7e8DdYF<uO3IN(QqAw*2hO
zN>w!k#TCUul028`L+pG1MTT2>@YonZfS4Y}6TtoBS^e^k@!9b^9NbaIB?J_05+bxD
z4|T_pJI2uK%-(;p0o^IOw@>qcmJzE!xPY`|qJt#IudlC!yA=26@H*}tz4d>$%zTw3
zb6DtAiSF>Yba=dfz<yKtTL>PzfGqlDlv9wM{6@*L%SCcY$v_-jmAcS@q_!E9MP?O#
zC3m<*&aYzoq3J3d1Mc}}t6-7BvCfkCHdsQjjMu4ODmr<r{BiK*W0;paK;$0C)UY@7
zoAM7>NB_ldG46CCYgr+$u>-J?_fN_iP%p{A$#W9v#wcQ8ILI#cQkUi^&te})+Wf+|
z0jBSP<83M`wxZ*)^6l17DCNR7C-8YRY%%|7nUBu7S%hT8s(}M%_)r~1Pe@7e|3)7D
z{gZPv1{K$&8P2E9$j?gPx}&y}_)R%a;THXET8498d;(MO$YHOL%n&8|$KTs+w!5~D
zyZ2u5TJN?IRy=r%koe3`+(VD25<U$l)Qc0p<z5k?G?lmy&XKiJYt}Ee!sF{%xPR1H
z6B9p@r|{hBLmt5dMLcqU_$zj!DCRRGoqw2gCbP#e@04f5U7i;DnaFqysP@Q%UoZlR
z01<nOz6aybH%}t9wF^HLs41i)r81<phm6OVa@31AwZN>37w&7B73G<K;u(L5I)1Th
zDesWHwU#D3*52SO0^#Lox}q#V@P0lX`KBXyPzEHHZxd)H8efSgh}bqL&LySpm9&Vg
zF|6+T1Cog`roqNShl8fBFFDU?`fhzW`S>(gPZumTeAW9Wk;Ov0(}ivf8+$R?QKrK*
z(~B{I@}==ar{u$naToQN$}`pFR!w{OGhr!Rx7~5pUs7aq_Vs#Lt2FX~-6!qu%IXds
zthq$XIokS}C}IbjQ%n!m`l6>;#DL_?X<b@aEui-EjGx4udt->OLea0h)(`*dcr0Ih
zaO<M^!C>B<jKvzht0S_$hR^+cW(mHjqYY&g%8QMpy=R~kgMJZ0231E~$gyiZwxtj?
zg;3f0FSK|lQ8UE?f4Av<^h`bslm(fS!bMmtKFA4VV3#$HI@@bW7I%s0WwWdK(%&BD
zCnMCthdNtpg#+Tgldsd&(KcIosds@3WF)2ek#&O4<a^-c#5Tl*s12GLO9Q%X1|Qmb
zcczX1RYbK5;zbQbeFl7s!oJQe3C`f8?XT-YIVThMj<=>pEhrDCcEdid7aK8;&~Wr@
z0T+<&mjD#3c&&vs+)c&KL&x5FbmMvJb-7}Gaw}o-CL&u%yjWK^EHc>b$HZO<Lq7^A
zi1-IRZ#^x2%jb-uK)&dmzq`S~e3d|7>*NEHt-l-DcTa;KX(v!RU`+7Vmzu8$2a7d^
z0R?iuP&0;TK{HCsibZwdgBi?;FMcNS%;UEFRh)mHxAYH&Tmn2E66(KPzTwjk$=Y(<
zfHKN{t@4VG+of}{SQT5bM=OiL+bbF2&OP%Qa<IqY$ioE3J}Y>{nSJH^cFhCj6fA*d
z=mT|(-$vSp7&xZ%HR-IJGmSx|cQG<Pba|mncSue2VWDCIKW7I+x#^lu1099}nkH(z
zdMu^K5Y3O^3PdE)DDSo84mwT~=K0!1+=*c4x<+$7RS<AH=?v8^X!tFlI-mMmxOeU)
zqy8#CFPwMcqI0C+*d^;YQ;jnp2$vpLfT#A~P#<*zwk_QHVtRdJ8At`R%m$z>8t8hF
z(@If&>;}x_vsg-wk4?)nE%^pkR7=(5*0YMq(^U|Lo~}bo2#?u)N2*Dy05EstIl)Lk
zTWgTtw;^X|!C;&=q<z$U73l4$!cFE)R{`2GS6Py)!DV$iexj&ZTVi94DOsE5Q%s0Q
z075HJhI!CEz8M?Qm#HI#DpfM$0Z-X$E#bWoVYt`LnZ`<ixe}eS$(i1@5v*S+2{1dO
zXo&<=9Jkaa88)?#OhdPY_?OQ+v>%kr^1PesLbd3Oc(mbqbl;7VA_~-~Q%lu75z7q?
z&Y6|Wuxlvc^v`1$6di$9%R1Eb=S$%s-Zy)oQm(g);-@LAius;#vmc&gvYEI{*j*~^
zJqY8@zhn3s4_Php4Yu?w^7*}=@8#k`M<drJ3{KdMldgS2vUWYuZloaQ0l4GBw6%0t
zYPS=sKOl0lH}eOYWgLa9>U*|udd;%MPw~MgNN%WSz3C#O<7pPD7`jxGH>*i+b`+y$
z_*AEG>oQtClb0`SEP=?(;0T5(U9JC_w>}<H8Zw%jUxXF|5*)z&dS#Vjg4&SYysF2l
zq_mE&OufEQZ+IAJg>(uDx?P#3>`=sYSD_oF+2m*Ht#6A#GQM6u`SkKIy)KuCir_Z<
zCP;9OhBa!I78$z8l==|V67D&7mm0$=)wXm7vZm}qV!i>us*_@zsz$+QW%IW{bub?*
zp-Wnh9#^oXp&H_PW76c?SL51aVsQt~EI=a2N;<BT11ev&M5<b}t@9q4)T#5+Rcupn
zz9}l^hr(=YvXir^pwPgp3+&XFNlV;Bke=4q3yqqBV(Cgs6T3@%_+^4Q1~}xOb<+8E
zT~%sE7LaexAgc10T@mxNf@#+qAgA=?K<xr~R;u|UT!}FiL{a#;ZbxRqP=}5q@sNJ_
zFa{A>_b}gcIx33CkA#eIY)x!GBvf^=q3eIpApNvu&twSCHl>j=ZvGnZJlJ3e(f_*t
zPd}}~?=Mt>3tYFvz7R#V4?9BnPl_CfbOvpVbuU%&LY1J5Af18a$0`@W8in#Zy(F6M
z4SIqanZ^+xltNCSRjQdfu>>o^1)M)hznre{&o=7TlT&T_Jd^kP?i@im`}@^1oRX0o
z$rxMtJAY>?fHs!7hh}B|n(t)aErjpWmiQRtqeYiK?Tt1=5PTwPadD266Tj{ZHb_Lt
zL`A<uI-vtbp(PzdG1)zr{La1OuG7ra>aKnRdm;ZD*s?qR+cwQ#;HgB}+;6Wn6H#(}
z8puYsY7wNR$kMv_yPAuL^%3w)MQ9FAs{WZ==Yyp2i5m?k?d4l_7DFJXupru&P?*c1
zJ`h_f2cfO;MI6Pv<V@_+OH6TavYPEDlJMX5Q`5z+b1%|cujI|T;}TTjvr8;+M$%|m
z%~;<N!6vLea?-L?2y&(V#*Cv-si5UPZGnl6m65=h!$(cS<$r?R+jQ}EpF<<-F}7tI
zHOCp3|H*6M8iJ*+_ISz~zn;MV5Y&BBs=yYDu|dl3z@QwjNm<|v^2W2KqK59XJ41@$
z{w~K8(~`)^AASVDwkJ5CE_(=uRj$*<5st6V(68_>NO1<UzMLr*AkoP3!VklaB<O8m
z($g_kR3%b0dq`WcFewWZ%1S6_c2;kjbtK9p|4hZU%@Pw`Y7FeLOf^Z#NHJHzI#8U|
zgt2OQlcy|cdD<k(PAj%UJ08xQW8t(_>DqT9&z%aNP2HeKkH#q1ajogqGc)*FZ|iAX
z=CG+n6LU^;`n~@EyDvDW7b2I~GqZC-zAoLjM4Y00WK})=dRC?OYq!>yunFO(f`X(7
zd78ndW5}npOs9;|mcX=~{tqqQEUJrf4nkyFo5GuBZi!+eh+@dq83Nbnr@OcG10x}A
zjUa|O4-(pbcTP`B1ul|q+9Cn1ZQq%_FewV3hrp-Cg>>#1l~xK@ki_xDth8G}Y@E}g
z)KNMYB65W^zbqZr|9TOrc>z>ja=7%T=C$IUqzntvHwZ&bWo_WJfA&3HzLKh1Ub9=<
z4R{y0?5z5DjHV+==8f`ml$5tUzs`aH7=SMyMl{8trrsgeR2?~_fGeXve;g<;2v0bM
zLAq)fB38$#CPwS?mpsi4l7sYZpSX$}nCB3N$;WUo^9Ou2){Zu*^>jqsE{Ys<T+el!
zY4jv+rlXOSz>$zk#vLb&Yw(mRx_9W_#&7QYIxIuw05pC5_0vydZ?-)K)p&mSd3`3Q
zt&4*~C{_d?_T3kpS^D!}KL6M~_g#LotKDK>j4iWoVXFEz!BHvWzj0qeL4bgJy-hhx
zP@2{-LGM=B>y8>R2Pt43i3l&_`vWm^b^!*2K}%`OaIENYrXr34#0-c6)GmY)hs33E
zYM{D|B|_+WS{&`yI6Sh3we!VFee$bfyzye<x)?Qy?fNoCfu7loRG8x_=4!YqbviL(
zf<!4y1G%`|f{FOHxweCdO_|+^Fw1WGwTLp8bfy_mcJ9bgd}sq*Pl`!7{}(iWv2#m-
z$zj=&>85gBB$$HXChH@sG}p>gLEzm{w;Yjnx~F#f9_Yp=J^7AolwlDHX3&@qqGm}L
zksR4P<65N7#R>m7G=--sF8(58Ki}}wim@jmVvUnCSl^x`xV=G<aH2cSv!e1-(R&mX
zZZ&`}-5)gzayBm=)ldFWET7VeWs=hk?vLz6`1~b5cDDSuYB4p5ay<m?>U@jS`wh$2
zMhul2y5$8{&6R}Kd6CWIJkJg4;M}W7iXv_1p%gzXt#WN%OOh8ZdcF=30AE0)Oxkbz
zzM?T`Rtf;(pVr>-repfd^+T(J96o~BOKX(6<W%DX_zU|$eQ9+%;p|>H=D#17h#=fK
zwKC1o&w}m+nA)%gcw1?1F7q^+nt`d*@`%%=RL4?I{BJWLG-_g|#}i4QMAD$M-#zUb
zFfIDag|ccu&`_m@SHIx<4fUqex2v@>L7yqB)tPboAIJI3etbCPBEiOC?(b^pX}?6|
z!n*@>nw^d#>^0BvqNMe+s!~Q!l<-_wcRn?Xi7)~8F!tuf5o#P=1a(c39Pz<@XD?e$
z7UY{Ogft}SLXHozgy2vRO$A@lIIhyfA4uDx*eiTgfU=MxCUoW~aXrb_jkrkC9A}R2
z7BO47ZtS^3dZahpXfwa?{oh>}!B#?P9n(yPrR@z1Z<@rxD~(<wdY(gkN#$SBKqCOZ
zIS9qgOzG_WwPT+;{iS<`uD1+#6t@+o-#;FF&|}g{s%K@OLy173(WIm(&(5U+8qo1<
zUnr1HpaG;atH@_(iuSRf$r52n)YX`9*Xwtb57U+NK!ApmrM^&h4#>a(S1^t6wo!K}
zJDi)TS0Irke{FdaztXl0EGndOLaaoWq3(5w^R{<RNtsFnXc@qUp9|Nm43S&esrRrV
z3JWo;5`F2ZA+i`CiLgxrZMRE=u9f;1<&L}ue~hDI%UQ;`%A8g6sYP_lga%HqPDi53
z8K%{JNJXCO(a2;rDiD+zEXA*}#(YtqlnH85@B>V4vlB)J=LwZFbEkQ;ZVnK+$$)`k
z%AU-sTs>14#bHzo;IPaI7)xuk;{kivOG-jiIa9^V;~{LL+yU1tDE6NUr*Lf=vAy?$
znuf5C_XY0V3|&dPPxnQ44FaX02RW=yCOwG{-snQ|sCfpv?T;R9j=ItAs=No<3iO_w
z#L<kB;}~U2S}9k_)17rqxwDnujJ;|GcuM6hnq398&KD+dT-!3dMIVcsU#CSbad<>J
zp2iFJ#+G?)kKbegbY$Zui4vI{l-y#glily#R+La=P9%HRU=lmJs#;ZXJ<#|+Dk)<u
zS6r*roeE{opGZ{0;JC8?%y~yOaz5n~og6Z_T0@w`97Wh=)hl$US~(K?&{X*;9B7%m
z*s#XlzjG!0RlCGdKJn~tjDq^N_zWvjQD`ri-*62xUmAOF3tW6gh&0OD1Q!nf9935q
zoHwUq2c`WUd%_{JTf`qtIi82^DgTcRKFV>>P8&=c%`dHtnL#oR&81Lwa{$U3&7&$k
zi~VM=O?ZRigrf2t#ZNT~G;B^@)m7qMN^7YlZRUf`LtHXffl|=HGFBL%FE>U6KbF!8
zl@{RnNyvf7>IK3ALuDR#n&;PMGEm|<bJ2-L<#u_-Sz;m`2a5A{pOzftM-AdH;pgcL
zyUL+kP2DVd8}S4IHMQ~$L*G!1%X@X`t6sUo^o)|uAUh$}O<@i3duG1V*5`D<F&_5}
zma+Qj$l3P|j508kXYQPP8_BOQTQe>0ZeHO(c&KQD?}*RqeX26ArSc?9+cX@Y@_rag
z4Be7ixzhuT5h~;9|D4r*rXm2(ow9|V?xdpwqx1<kMabp_lYGBmqp#jdnBh;~+-%4?
z$Onut<o1$J#4ZQ*s9KEdi84jc<G{~nv8^V3ZLWu)I@FwSukMC%Gm1w&C1YvbJC;PQ
zEL~Ii`*RJEJ<>wTm0KBjHwG=>-CAxF^Y35h!n-Rsk=?3}U*jZ|znOS+j(OS+ih@r{
zAIl0kPeIEbW~##PCc5}QAvuE!jDsp1cP*Q%r@-yo{B3^L{g4-gT!X0)QEQO@7hlIo
z{Uu=e6I*bu8gu*)rK!<2(q;*kP1d?G69Dl3ViAX$O*&IDphKXRsFC8RL}j|IP>M29
zeS%Q@^B3!3%zFLi?ml}a8ht9_n%Co~TI>g@_jpyIho3@e4#nT3&Vs&|J1Idc(ot`J
z1cG8kc^3B8*l~Gc(wWo!Sl^~lISfUnnmTOv%EF+Y)v{&xk3Au8z18Wwp89zQff(z4
z5TwB`N*hLTW|V0SQFkMI4l!!EI<dJH!hDJ2D&{Md>yIFv?-s55<^WtYDL%+tS%X;2
z5e9QyY9jUhFU{Lh>m0HRye03NkO2KO7En#C<C1tOTgtlFMfVl{8GoQKl7~rxr2lg6
zPWs`%5B)KAcGsqAdI}W-2``FeQ_AvF90@>aSw`1Wd%5)QD{z<WrAR;pMLs?G1GFV8
z50v~R*nE=bp_0S=5)&JvP?rf#h=R4XF<8*$_&T(~AZH~y!*BI$z?VoOudXJJ9Ma!C
zLZLlb@{;C>*1}ns)7$CgHDRqxNY><r7Ie7_!Nr^K8x6gUOA4OZcon^tZB3p63{e#_
zvcq(j|FmfS%fGYd11c)#0gVrSs7yR(W|YQza<-}73~e$=SH@H+e}@3kN0+{KH@DMY
zzC3R;#<b9|x!W+KiEu@lXq7g)Oyv6>XB&f%#;mJV>%PFP#2$S|)Ypkyo+QS``bOsy
ztXr$FZiQ!TTSR9T*R8Ok29`C!1mtN0nvoCV)%iw^?UA!96H?JM&1c<AGAepf(3or2
zkg~o?5S*T};<EPLFa1jhE@C!U&Qte#mME4f5Wp#%GAP*p{3A~nM<Jv{zsinG_B<i`
zZxT|-g!L8g&ItW@6UngCF9Id*!~}6HKeHi_T7K<YQmU6Pk+2<~X_1;V-ZmoU#Wj4W
zuSs$@AT*|>6uA&`PS3Xb%Vr}W1}HmxDkFgjUxO!lUA}LcM}Wq2#Nm>)Zg<_8b}~Sj
z#USupBPD0?HbX8!X<jsXHUn4QK>3n=nM$IvO|wyvK=EspnWt#S>GpCJTwm+k;PI$f
z=<Fx^xQ@>CB$&#Hx26_WNNLonTf@;c60caz4QAg3M^*oVW6z2L!IHdY6fIAOG8R3h
zTr11b)hs2(KflvlY!O+AkmFf#$QaY{_sH0kWJW@sq7SXqgpwK$qqxF}vGc+nS-n2g
zFlPU3LDASQFi=R)6?vneV5%<(otD*(mAFiN3TaEPDe=o;3Wd&F&aVGhPQg7ZlbU~1
zw!e{6%Ui2ePfkX;cZi7B`02Q$##d@tO|>r`U0Jy1vBP_E6~U*G2L-nZNh1ZNfcovY
z+VMyc#t?^nvzzYjknHm*63;}g4w^IUll%&J{+IEL=8&ZjbL_-<2`@>A0zA$qjXe|i
z4kKYPn^;5&cH-Q~#?)M}N7=1XIgJ51-qalc4_^Unl1dp7lxWc7?LyP-gG6Zx^(aW2
zw_KqvjOy*qijD4*&DDq46~*{EB<u8tIC;x=pr#rS+m?jtc2EHWbAtB`vlbY1uBRKg
z1|n0^_s{-Wu)&|v4Bp>?v#^iXbWPv>=L*m4ecI&xlylObcg%_aLNOgo{7Zw!{QFzb
zAOGFERplYmR6(PI-^6LZIMk)<tIF*k-Fu2h)i}l%tu2Ml<^d(0Q>?IWOZi;m$Cp)s
ze_IRd?Q=EUjQM3;xbVRmlR1tXu;DJwlqSHFf^$%xFFb6LX0uUO+uVOiqR6lfH}5+m
z5Sc}`rheV^DjG3`TQ&-n=3`<WFbJNnD10t^xOrBpw3z@p8CggX<-+XnKj}RsI2KCT
z8Vh7S2$msvwH4m4qeXv!_3B$wJ;ndQJ*yVDR_1#jNOx<p<MlkO8Qzr$Q5Y`y(jMjV
zHI#v;=dX_gpMk+k^nb4gTzY)nzBB#3PsRJEZrnzf%nhw>AZq4SSS<%9i-0*E71=lb
ztF<QoeK#I=(T?Lz(irfu7?&!BiPRfA5qa!Z4LHCCr_$pVzoG$@v;&W^;bPa+Jpd2A
zLgzLPUa`<I`q9?8vqr-<dWQu-79LDZMFt)VPNxM+rH`E0s()GxKQtmz_m&AJb<He#
zt1u7i<<-#3rjKvqcKGvvrQT9YVoM0EIjfml65}=Heefbu+xb7i-DkAV;YI58c}r5T
zl7Z#1eszo4o$JSH;PD7F={1C{;JV%sJd+zF7IL~YV9H1B014=kfn~g0QgI3HqFj2g
zcuR8r6vGVc%`2r!HW>6wp4)!A87FJJLVCM9Wl^ECb;TGrO@Ok|W`|jVTIQA+0YotF
zr?^lK5`!ynQ5?D6+xKkzIch(DC&QC}bgw&3)e(=0YTqkqJ4lG-^~<Lde7ST|h?9ky
z6L+DwivdV*U{KvQMkyQCXeM7t#7DejTi+BK|6bVM3VH`Sx2JUb58NkH2)|bDf)$Ho
zHzjcS^x>qYQ<1mj|5_)CHP*Y}UGr(;3%JkXf`5<!?Il27&$(J&=08ZLWuz={DvNah
zuHD6#s9|~Xo=s$qQL*~D%>__GV{=1G3{36IJMx7)1WN}W&z^N9C&z2zG}Bq+bnsg4
z`s6xw$d_KLRy$%@5DhqU9CYXvzyC^2Ggu~G)>@F%E8pDSS!&27$+${fWGgr;TL$+}
zw9!u}vPY!Y4%Q6iB}W2Kj1KU{fVc^qhVT_^DnZJ|#TBhmOPGnW9gM7u0j1cbF80k;
zEenHiRTf0T>g`bWs9UF4HsPG-ad`QAapzf#+A#87@G;ss5&RZqj)ktU9}L9`tA5}Q
zX!OMRzliz21y_xo`LG-P2X-sYWd4;W-N_=}tr82(6AV-SWi*pPL?s_hi<o{wBDf)}
zOJ$YblWhto{ADOzrllNHHrj+!eV7Y?F|wS${dNtu{8>%+`mr}3MTqJ*8$em)$Y2ha
zj+Tui>n*05JF{0+a94kLRU*B#gk=mD!rJ&zv4pDh^K~&RURGH1;39jOrsMNSI)~4a
z`!NQOpz`j)^b1BM1zuV%3B{EtalW-IU1|s*o}7}su8#}cj9_GEChZajJ?&Q$ffIY#
zlNuJftMCFy+m7Y7f{^f`SNwfB_AwF{5R?gapzP=fao&UMq#LyszUTz^bD%b&=y5mg
zNfK^3>wb$prnE#youc%rtrwu=3oJjc0Nna1GE8fW*`zBo9{eqZeEN9>+q2u%^!L_{
zCs|(pJPGDCV)Gf+NwaTqEArv-d*D9E!TXI_OgFre>VE-u2MI0#r9c%yIb!d1a~>W4
znzj-|%4B_p#LxJjOJw>WtKV*HNi$N?SQX|i`;!k`6&CQ@VLN2?YtRi`;$h@0pq&*g
zrE{T@-?;YbIv4nDSw4XD4#%r%f=)$XB2arx)H6SMt%mQMg^{;Uowpnl%YM|QBf|Xt
zLwkERdqNEV1Iim8&Fwzq0rXZ9$2zqdY5r`vti|qqls<^^H6X30(Pxy2*zwy^3Jqew
zf;?S*`T$C^%ZYfdpvq^xbGh8Fe+7!qy8r6Oz~a>%)B4xcr}vZa2eMrL!+6fOU1D``
zW4SNAAo$}M=@0l@-pzr~T8^&3r(_(1rx0<nA+^2Kpg?0IGw9>4kc@K~a{kFt^Odh2
z7*;WQcE={BLHM0XIG*2;NT9-?ZF+(hEz+cAiGtQp6J5P$THn!FOhPGM6tTSr=Z21n
zb&hMLeg{X8^GqYzgQ*;d03$=s_KI->`Z1mAK~U9$jLoe?TcP0=YcR1zFJ43r6{L<4
zXCf9k;klnz9NM(lEPB$4852;AU4=GW$vStn$`-^BPX7*m`H2^YirW9`OFrPSP5;M3
z<71^pkJ}I|9v}B;ioi3e?0MCHDYB$zs8jzsF?kel@U3}M2c0*)y)x8bT%`9kS*e0>
z{YVj~g4ZgYD@k;d{>1KB%I&7ZGk~q+vk55BpE3=7*ZH)(xfG~pL7_0h$1Bh`#s$RZ
zj@1y=Pk-v1ib{3FTm^%cVCRKE4Fy09R9qxPf<&X7S{>SUMOT540U%>aNs0w@oiIf$
zZ)}O&SHn79i$2WGCJq=B8SP6-BT#`<=M@`I>7koQX>)tVr<|A@d8&E!6?^DOJ#BZz
zMK_T;cg45<yZk<3ynP=S`(~ik%d+HV5b3r6a#GM`^EhP>=Dy&1p+}L(;HlsfuB!qI
zYJ1f^SSyp-<arkn7Oq(BwW(w1^q-_);mb-TpbuOa`5FDM(ZH8a`N;1W`!B2G=H7?%
zdI}d*pO&{XMre(PT7xHSpyfRYerc&Q3B?o(;SigL>g+3?OhBm(S7OJcJRJZGN9Jg^
z80{vyiZ%n{4;@vUD;jM+;Y^Kba^zB!-G7Z8{f{AY@BYN`>Ah5)_A=C3_&Oc?8!dY#
z`|<kwt@GKALfK9sQpCBsOsem$77x&5PY|-_0pEMR_-{;W@n3ZvZiy;hM}Ism3bJQ>
zQ+PIUVmM&ghO=DujZ=BVA+`sLYgyCv;Gf@rW``T8Ea=QH_l0(e8H(n?8yIob5}gf}
zlrPJ3y+q9n@d<+=qfR!w(o^{4UzqAlKTmjs+6YUP6zxgbq34Sh%ctS%O<ipC+`rW~
zZDIai`yD#5JHP+q<-B$j&3*^myQ`Z*=C<jYmohZ=%~oHw7iPD|B5mRjM+d+G*C9&V
zqS6M>`bZtGnCn-W2`uU6j&2kb`oydGOH}ywBbZ+?zH_)Celj<tv+(c8Rz&HofJ@`7
z-x3s@D6z0Y@rk!v<4Z@&Gfisj^S?!i2F5AV)*lQnjMhXunM<cTZ%Y#pHdC-sLa`q|
z%|M<IwAOi<@W}#t?Khxu_%ff>E4;N4?OKc$*dPuM(g|DY`rLt6V?-`Ta=vhl7_kFS
zqhERi+k=p7zg<pbj#_?WIb=0_zn3X`Bv_R=lB>r<jHg1K2df5k(a+d?!jmzMhdd1a
zmakZ#wQ79pP<Y5FJhJDG7^?3g5kY)&D4&ufy~W_2cPlfIw~AP+Hqrg_H+wKNx#z%Z
z*te+LeB*qOEy}+1qNx$m^Kp(urqfvWoy*DxCY?B|wuD=0MwqPm=lB8*Oh;;wt)t4F
zZ(<Qb?&X*1%|9y?*LQ`VTU8tPx4vHsXP&{L;PVZppO#R_1Zsy_G?+vs5CXuH$E#=N
zf-=-*{B28}=<_<vzN~uIAfZc;I#v_~3D08;DJ4C4%QH;S@H^0+brO&Lt-Up>sTd(6
zm;SuQqFpwJ@yOpbnbntcNM3j!QPpRRv!EFa+v=(m0{fGl$SSm!<&{WY>LpP_(V%RS
zi3=yQ^m{=e+bzB*w2H^-l@5w35RfD06DYXorM}_ThH;-a6RS5kitLGi?N#v5Dbhyi
znQLA^Gt&Q_m9LW_*UVLzw0+nEFpq?SnPgk>>(-&Wjf%-<fuz&DPWpg1=#UpA5R#~A
z;PImbeeJZswu?S&6ny2pszG1E^}uy_>Nfhspb{7P!{{wHhP??+d!#Y_rO>;ONI=Uv
z`0)d`9tkqbA25b5*PLo8jq7CM#p@jd7Zz%56!OQQyJjp(_hWV68kG|-Z_E(A4M=GW
zvWkv#ph=S&Ouj*29`h0Yk3sc@Uw`~p0r)$i1T+Dn6{WJ&TPo%hv>%!!9*~6eWbd)9
z6X`i*i{8{kIsHep?`<QrL{#F*qe&QQ!tI^yhKyM~pkwJs?_g%%zP*hVkSu~HI5N{j
zh8957YND{^I1RCdF97(DVe*2^_kR}3TWtSwMqrK%@g2I1d~&;t&)d!sWH+-9-I#89
zD?e(#eUKj1!;g&5X&Z}=8%>tYQ-OGO4c1Zlfx#orz)KU#Pq)k2-!EhS9=)-EZPAr)
ze@DXcmHV;bji@Bo3dgOcgcXV6jnpEdtfY=ynULRY8{a~-Ak--M{Q+jm#ABBGgIXa)
z##&om)LOX8t!zHd4cFr%@k?PD8hQur8WLo#2PwNRl+Ctd;1_fBVbd=*&*^S6+VgtI
zUsta}^14OgSW3-j8#3wZhLYplm}alXYv9g1FVo4*n)Ku=I`0TnD!UnulDZIEf1!qE
z<@?6$rGzST%mXe@%J0s9^~koB&$B+0*xCnbj?-p;YrnjEj-gaZl6~BC5&c_Kyp>A(
zJ11f|w+Vw}?;E~SJdj%vIR_yeHV+<GWb?3#-t-JIRAbokKq@6<`J-f0K`L1BvK~Ro
zCN_;yfhs^D*=5@fff+cMw>`hf6UY6k1WBRmr_U2#0CanaL$U|mkek^Zgi&+o=@|Sd
zOtTG037>$Qwxd0M_fb6gF3kU*I=_Z=L&3S<mc7?#zJUayiCq)=2`qwPAZdt?K@AS?
zCbi<;$=XsLGlhLVy*E~?Iuhi@FeGf{^32hC2H4gPE|K5VGBdWjrbZ<mh!wz-yw&8s
zfe#%8O42knG~kCjp6ysCpdSR*K!<IwrlI0jgG<-5V_Z}gdLHOzfVG-!NPdqGnjNW4
z=D~+sutC~}^+}DZj`!cisn0aLq!jwW(Ay7VqObqv)^2b+mxXupVN45s*4)yz{<va6
zRPh(}9bmQ68kIe${O|tdN#B1gE^e0li<P|EB$cg*CmkG>--I7M>t@4}xU}1>&%VrR
zt)nAp#!^_r%Dd~B{gO_KPHj?X-Mi~r3lFziO(533m#T|-baR}WuJ={D*p<7XFH!lG
z>Qqd@){fAm{mK=;`(w}2quM)oG)3WO8JjFy7Kvu<#PL~{8@q!H$j40zO_aa)K%U9v
z>>*%I!9MI!n_oscF$ZDITTKJh>Kibm>er}fjLs|E;3eu9;A@F4+{gKKb4+JL(d0ID
zE60HgA#I+~>Us4^BT*}?H*Ps@cbUCk*HFjaId=OZwG^1?FujWv!~fPVv4_yEI|Xz5
ztnHbXYpXY2YL9y*GFQZ3YRUD!!Qek3$^b!p371JD*SH(7dmC)(hw*id=#TU(xrrb7
zblGK!&*9kJmnacZPn*W?VVMr%{+=YgUj7c&x6%4DW$OvgUs&+fMxw{-GGtQZ?0cv)
zyhft0R2nwr!7Yn$0UW%No->)7G8WLeBtC-GcuHPGg?0NdlRjUCC=J`jy}~cr65Yuz
zX;RbypnY?TeK`?!BwhNsNoFzKcKzna8jujGlzb0bm`5GIIHb_4o4bYM8Zu5vMoPL_
z;D(-qmqis4r}4X^D4{mZ`qUWY-xVNPt5A!a!h=r}WOQ1|ZB+^}<^D~B_t{ov4^{oK
zXE@cv<tl+-L3aRc)P(HfNJ|99A=ZuOYg%2uZ}o78+T35arqyWoAM`KbvkA?a^ICP3
zXOR?GpbOyLus1yYYAEE(y=_9KILf8G91&p?k-k0SkwzD3&s!mWMn-%OZM(THt#ZY0
z&{?^xSMY;w@PCfS;9QsUH+Z7u&hZJc{Ixa=tCX0Jof~lJy)ry|My@0BJB1q6Ftgl*
z*nJEK^dU0V32n$3H4%l6T(SyfIX*Rvr=cINhmQu+tQ(9o%*a}~u7DFbCR|3D4UMQ=
zhV$51qnMejg;)E%B>&sa1~}j!#~;f^XZX}4P{9;}04*@b7G2;7Cb3ychA?m_X3Ris
zlnq9XN#Q&XklPwMW&5Dmev_@1_1SqnmUAlHWcaB%lUFl>NNm5;&K&*)nJia;sF|Y5
z<|Xcd>|;?vg8mz$@vqS&{h8t_)<k%wPwY9sjd6>R2^K}k1m$s>OAHRct?bmkJb>2k
zsMIV&8G${KkVg7Hb!(hwN|NlDV%-NT%{aXs!8rbOMg=BlcEmlbulbOQo;L($&Kr>k
zGYOzK?Jw*QOu3#d$V?50)>rP+A6rOlXhV7#^>p<B8d`r4rtEsv9r2J;H2O{!7OqFZ
z!e-Cw=D@pQl6Bu#r^pkqASqxUx$tjWr7yg{vR^lUBz|JN@FS|jnwp562h`GPj$4a-
zGekKI#=bbbmNSdQA05ZDs6l)TGoV`;bF$(JrQ~dVON1u8;APVYO{S5>&!h4$fecf%
zrtc14-d)Q`H@a*;W^6@9qVgARSH`C1DZXy-nfD9CvfDMg<w9ga1ekDHs(*M~3GfCR
zPB#)#+2;}IF1P>o-C_{Kua7KZ4gh`KR7mSkL2!JAk#~k&=Pl(8Vt*%`h_5B}(I1<R
z{p%92KBlggHWY2{H0mo-o9^GzaVIZ%HP+h;PwXmoCs<3s(>fvMDsOgAEz;Q7AhXB3
zny`x~@&jG7EI)!AlQY9+X(0{bkhyx-Gus`euIF|pv3PAnur-SWY0id!=KM!!s}89}
zlWK4nmh4n2N#3IhjjRHKsy{eOF13Nr>5`{Ckxs?7aTU7#fUIT|>e(Q*<b3CDj7`P3
zr0Qs%<ycr*>@}8c9RkxDp~u-_kDrP8%64J|V`+1}&c*b|w@U9$lZ_&i`FOLA9G=O?
z{Hv=Nd@{jaR3ttQZ#~Zluko24>lLD|I*=Ei&A{wkTJJ%y!X+S-@-dhpNMRkJRpsP_
zV~CP`OZ3d+IK>bjr)6?<@5*_xlo_mvqq0uR?r=;6|71Czh-cRhU^H3WA<V=Ie4E&!
zm3%l0Zq~f+UpyqatCRS#UUpK05D{bDoS>hdut^M>QVdz?0&!Z=(2?ZvHiUiMxg#GN
zBd3ZgKwik{T!LwUhcXmlu|r4z8#^LQya4{aO^(}z5k51(QySUbAJ31$pWhnao(xlG
zQ2+dSQpvizRSEHXBTPD^r?;oBlda?ppMgB>x`mvwfhd+8?<re7PuOQ)+)9%}uCa}b
z-l3|&;f7fwhCDuT#6G;ANq6<0KxphaXB@A@5Egx4M=p%;YMSJjduRLj$0GSrCF%x-
zmIuvxafxKNZ|c<q_H+OFeTg_jm}nvof*$0*f^wS^pXrSOwMGvDxh-nz5+_%2DzTU{
zHW(A(L%W6JiTzhdr+M5nEL8Sh{$P@&K5!%s9Jb+{Xs$SOIZbaA-pwMDtu#m7IUzUN
z_U3ZQ|7bonv=B+iN3Pecj&(3pU?P=fyA_w{CR%2mvm52Gt+SvQS%QEiMl3)e@r%@^
zu~B-jnB$@v1a!+jj)}+}r)d>56!;v(5?BAxVUr8aJOQ+f=Ao~;r)CAd4L_1(H|vsr
zcW+(4-2$VUjIok{!8u-qsr~=Ku(%}W!-_!qnZYnyfJ19WO%-MH%L}L>E2(HYW{!V(
zP!BmY$n?A=SR-Ns>4yCiWz=0Qe!{=p(BGQ=sR$L7xUpH=-1*D1GrnCZ+Z<(jt&i<E
z7h|`MY-D)UQRoX}rXgqbU1viYdjTysLY8f99BUZd3`s*M?6Nth+pn4A@O6?#1X9a@
zDg|YzbnG2bL!~jzlEZ?b_T*YE%(9=MAc7Lpzk+`<eonlV3jjs^9;0B8kIee?Y${Gz
zkX$-iY)g2ax8|8~p|On=RUA;nrWYdkiSja5s!c%GZG2!%+eFva5od`bI*F(76U-!N
zoqF9H{geJ5g-_PJfU!VhV8$hHd$R=*AX;MHCvR}+lNU}>&}L9epsuRRzTW21J1I}#
zG6Mx~^>ExIH@E&@e>BM+9d*BwMOw6;tr)~%YEwkC^5F9OOPt9)B^lNB5x)0oG)f~T
z{xdo46d(}#IbBob#@WnOajSl{@G4PV)RxH!;hrk_d775syKHR+W<UjVX@b6A!?~!i
z)8c>TOgxnrdF6*ZESJObF>2ann!Gl<yP*V3<^C0P!3cR)uU;T*I2@1nTbO@rm%p~?
zUed^OZshMvJgN*^Z=6}Gl&@(N2Jj`M4`1ypGFtYmtAw>Pm?^=LE$Wjt_VgFUgAP(*
zm%>3kbS=D;Nde0P{WFgDu48GvPu^HMfj>X)0>baX`><~zv>tHCy=NS_eTsSeZ5vQx
zc%q1EUB_-yA2&Gze^KHNT)oR@%FeS5jN$OHR!4+Je0Wv~p)?c4Xl<02sFmKNdr54T
z2@G*P)_*kH+Wu?V93?D*N6FUe{H+R?-2qR4lF#Nnx%X@sJy)a=*C^HcsC}^aV3>uf
z0ZxF$;a69k%!JhWxo<{ma|8RM`OPHTv5I5raZAB;Hoj{4t1!Y>4D#^V;EpV_uwX1|
zDK(ID`mF+DOD^L=&d;J-A(c-LFv>$9`$)Aquosz`e5wPUH==T!pj^(#gn`W&E7#G1
z2Zjd*%BDOBIQzBJftDG4L9~(maG#712~FH9aRt+L*W`M4jnuYM%cwSE=6x1pS%9KS
z!agXRoap~q09QS?pC5(!{JmKX+#+PiCTjG<{4;WFdi_VqIC;&OVSMoei$8Hf!6>ta
z>kkD!!$%>Sg2>ki7OGw{9_^VDrOF(lKY@Sz1B=gFrdi__N<M26X44rTTAlCYUam*b
zAOF)Xf)y}>u|nn!K_BU6^GLa-O~x;`H3AOM5JI7bHd7=sFnG_68xGn8D&Lt0B1rNi
zC<R}j1VJpyY6PzS0rw2ZmF;W3oRLMfa}eEY1cO&`e5Xa>w=q<p0%^`|PS%??alK!r
z$)hO^_{0{RdQ2H?)j&Uyq4(~N0;1)v*Er!_-wm5wrz}CmS%Z3;#bK3eK?a<kK<c#0
zEbB-se<_?#W}2RtTdEdB=icd`r6KC}&cxBx=#qIVkuU!2wldMp+<uZp6m0r1O4_U|
zrphlT#dV}n53=^&Tl|JX`kVSzu4t$2GV)L!>QRV!?0%2KL$BYxBONf1bGzWl%Bf=@
zr<dK!NWX6d+|AN>z#=aF@^gmmnic--Y>tBPWGhqn{Z@u3uCt6&xTn?59G=Zeo~~mj
z$t5+>A4wGPT>=-F&yGYLD#_sL1{p>b)q*7+<$rEEV~$q&%`bq>aqQauoD0SV5mIyY
z)pz%0t+VdLPX}M?m=4yN^ZX7Pe73>5!8ejMa^tf_ELZm=@ZO)Gp{*4-i#d-L5V~oz
zaIx}#uuT`?D&Uqa$}cqZki)|}6)fq8O4A30o8_1W-RE=e#XGFYA59oLu*BoJczIXf
ztO&Kh2z8TU+|afx8Fla>;uoPyLZvd?+Q<G|(=AC8=#(!Kf!|wsisXm9wP{|~U)a;!
zp2(PJ6p9I3w>OBV$3D0o7WZsl7;SZ8ksHa2A*jiwQX+9&{qk&+QKY)72mrietlq7_
z&Gd`aH4jU|qJOxjza*%~bKkP4OWSgKC)sjY&=RkesS&CR2>3c337)aPj#S)4l^Qm?
zaY4ZYxXLgi_o$Es?28^CRBp6BFKtCH9`w$_c<*s}VZfj8u#gRhR6lX<_v*>sCjTu7
zA&BT?f1#NQo*tsZ88>jmF-Cz`JLW*0|8z(SB1e{(l^3{2Wr*fYF|n<##+%8L$&c4-
zK9kVjfY5g5ae?%wF+%Wee}J&D_e!9QdB9!rjw$gopCg~6w`pIOk9YGpi6KJ$CHUvM
z5&shm_MTn?jm&-slp~gr(tv0U@ZWfxwg2hB@2F>Tf7@tmr7hnN<^X+G2TXMP-C5Ym
z^lpq6ToL>nk#o7-qvJ0$MqBvDt<nq;EhP0=7n&-j?srcSY8geH#Zx}>Z9C*=JjY;b
zU7h#EaAzG5+ji})E*y`$<Kb#Yj!61qJ9d`*a|k`C=_g%a@gf^%;Ftp%!ieYmkEtb)
z5T*ns9ZGGN{3$GyRaKrII6zv`o5i^d!HUZU6X0GZ`hKSR>T>YbNvnXrU}%TH1yg|p
zX=?VjY?w^({JU3F*M;;6-J?;uZ~mF7NbwITT`JvOwr{byEU2Lo^k8;IWXw`)mIr^h
zH>)jQV9<~#a-BPS=f<F^WZ<TsGwRSK_UI|P(Dk6l{Qt4_mT^@@-S)5`C@mn;NOyN5
z-QC^YDIpyK(%mVY64IU0EgedO(w+ZxeC~bj`{Dg`ekz{5*=y~&<{V?pG5I-JVan4K
zql>D|X>|}`HYSc=>O!B1;)YdJ>b-k-eG0T&k*R3mj5-nK8Ihj_MGVJKnL@_oqGwYA
z>a0w82EX!LChhAcvfF%z$Bp*?6($k2doiCo0f4yAb&c_tV!3u=6^tF^tK*#;AMmR?
zpY9$uD=UU3lU-q_S}1B$gPL_d`WkRtAE5)+vIMMJ@6x_3^7R5dU_DS}G8N1TqwX(g
z->Z7@$o)+G1WK^oBlphM{>;VnH*r)wq#0HnffU+Fz{6S1t?dwWu-aH0g?@O*JD#YV
z4ms<sie&#i@^=pA_OgxNA&cnA#CqxA7m9mRFJKQmr==*(kOwuFjqPRkCLG$F_{F=u
zH*JPju><EjuD&z+?92E)&inDtzuJsfTV1&OiE9lO0rbJ!u)EB3zk9ZLOrLKX*cuZZ
zr=*nnQS@ozyqjFd3TZ_6#q46L;^C}{f)C(W{EB&3OWO`>McH@eNGGp$)nk5@pf9wO
z_k(`ziSvmM>(4lj;?2!C-+ecA2%v?Q)r4Mjq+VZhBzMA{*P!bZlXuu(M@*w52Yl{=
zK|4_{GjZ9m{fPhpfHPaKpF{Nv*&_bF3Fp>4Hg6bfc0y74xKn>~3d~n0Mc!P>F_izE
ztKO|x+RPs;9Z9b*+_m$wmy6A`CjPv*6DyZH-}!VYLExsUGaBVr?>v75ETR3nkNLoj
z-QRaUe~RG7Kon^Iowsrn)A^~gAF}k=(3mb1MesK9>1CM6lsVpKF2Jkn#HIMl8NHMJ
zPkcg(;;DH|s2@6l3HxZTC9GY>d%Wy2ET_dKa{o?5MbBAt-;#D~{{o(Q4FtJBikh*`
zOsG!VI7bKtrHGi>q4?*ibTZ@@grBn!yxP*GfkD!1`0Wr5xiSe{YSNBFTOoNCjDa=(
zE<4<_btT)qi~ZaeJCes0+o+wqP)=2@X$S(fQk12-j9K2-4W_z@G)r@DR#)x5UCFUI
zY-Wz~;ENtupqj6{Ui<Vsl=CoDu76p^%)Xv}OMceHiFv{WJoO&F9t{dyF>3`-qJIq)
zT4Az*ym~ND<&C-<tO_<>N8r9&k6Ow_h90cl5fr2vIYl^ubyo^xv9HIt-TN=b1S^!C
zs+uZy)%|}}U(u*5Hml(fK%r2@od0<#)%pB*+!)XGbhCL|+C10i&Ghz+O-R0l7N0y*
z&sc`>i{Rv2+Dg}xV7@OW2Y~XAmtpV(N{ootQ%OYd`(%CeZ2t+U<*nJXe3km`;0U-H
zt9z@!H#NFV+`r9DKI)oz&g#oB)e{fbg%AlwK%j{zsbYv~ltWZCkQsakm@Ze+Xv|2e
z2DMX6B|yS5gy+i7nO}R@_w#D^C;Wm?4IO)9Opz#x^CQ6Py$)1z4nBxXaBW7C45X_?
zfBJ&uA}Az$35SERdPV>v2*Z;nk|E=a`W@L9RQb9-mvazlk58^C@vdNhvK{2nVM3vt
zL(J^nW}m=BUyQO&jE<nD{dws#Ky50<r8rv~BA7eULZgvGS9v3~XB5$kG(O=u?&8fp
z(D=efKwPOi+6C74ds#8-objcd2-%)KR{ANP&T<Z3LYygcO83*m^Mk_M0sNEKD(cQ}
zJ}vY<c$WA+KuW(ND2{Gd<KNh|F?I+^u}t+I#L!TvZH{lrg8ku*9O|CB2_FJ(cka)g
zP>p3x*3+%Pz5aX+bq=v$tZV;h(eNJFKRXxfw88__Bn&ZW&NmqjF-!a_26V1VUU+Zf
z4_w+N*skZh>SyHxMpwNCq6fz3Ge!o}4L2nfte9yv6t`C+{m~C<UzTj=mY-IdBr>D4
zOVVg4!r{B__%F|s3)^`J)y~ibY{pykp<@*FRB3Hm^XvPBVSX#3W5si>I0j+;_NLwe
zrk&@oF1`pNFI|YeqNY)S*_mlKTJZsL-CKFC?#@<-zu|@?>$RMVQCFNj5$xc~Tz~>Q
zEWf1sZ=n9?-A+`=#Nv6pn7IauuphMS2y5rPq#0_f!!2@wU#vzX!hN{BdYdh?LSNt?
z@N}?HsjHX&ov1`=G@EDXD($@+!!gHo@144NS_Hb8$MvVb>sN%;e&?Kin;-NeRH*N}
z9LNU+)LGS%S2v@y@-Vw|gP0Zwj=2B~a|D>#rP%Xb{K*}kM0+lU8s^spmo3EKqT#lZ
zHD6M69OwAlju<qccmQX&iwX<=k-lTEmwZ|b6($ZG9hM%@W831n$RDW5ex-dLNr*_4
zNqV0BCHd~xt~vdVZb2Z2dH6O-9{1OTa<YI1zRUp|2CrtOhR5b@k_KmAiVS!`n24CE
zI=yZLkv~K~fYsc2m3#ZhJPYAzn8b~05&vJi#?_ynKX!x_Av7di8@`=|IfM9B+W@0P
zy!D%b&ZompFVvU(c+R2t&S97MDQMR)@K4ZXNvkjmZ13=(>ps7j7@{5EH*Yo<KYxK=
zDsneY1u^Su1)?5^2<P=5zBD_TU^MzJ3kiGhml+Nnx4;1}zjy&6GNe!R*$5{cdnPe=
zf!a}bzCAM_J1<}T6E=qY&1qA>Y!}CV`~*2s-UX8=Hf{DvS7#z>h~p*;iS=b=Qf31(
z7_>vN6F!REu@5nc1fsdq5CEP5ufb^`b1>FVBTHTWZ89_!_`VvH3F{fJ{eW9r$1aeQ
zG;KyZBDO)Tn6e@S_(%mn*k9CCa~RpJQL_ktx_Rey+NYn59hbmnv}c}e1xTV=*T0W%
z8WwA%gkK}a?+2ZSUHy8PyJ2YkW31Et6sR|$n~kt$%TUtO{kfznICgGr@4(a|8efQ>
z#Q?ZY-DGRjejQ2UD$Z`aT<McATIEIks=z8$XE=~fZ3Imv&7)7vXMDkOifplRh;nF*
z`~oxn8;$DABDxmMxLj+@#fTxxdPvxRNu>CmrH+^X2wiD-kfH{vK0TTtxjgcj&H=}x
zRdKKybC&kVxA{nNFM9urS#&drBSllT&70!^wiPYGf|>$5v?RZ{5?6cXUQ&7Ce(A{4
zLA(Z>u2<#4-)mik>Bv$(y=^ukwjywV8>N8WaV~PXRq*;4E>_)V3tfYvom7t0vrYff
z!I)2-Ny}p~d=ha{v7jA^wu*nswnqz#A}?8a|F=R!+*e7COf@tmHz#s9C4Qu^xNw$<
z+U-8mq~t9o44qU9BKyN;9PGX#VNljgqCyfm3V%TkiZe~Ab4-O~uVm>Sf+NS*i9B^-
zDnDuDpgV(`)I%|?%YxU@Cx?;9GfSxkV$BMJzoaH8CW`4K`%^nhN>Ou5_wN%+@0HSK
z7f$|ksbfo*O94;oKi?k-4|PaJOBQ7|Wlmt;9%2kXr{|z$ON@Y?tb4;;pk8@E#zds;
zunn6MR>m5KrkOAKP4w-(efbx3U>N7>3@7^oIvT$)*h7yLdB`~9|L5!9K$TNPX%TDD
zXnh!xp5<X|wg0I}EWJ@5+oPo*Us+$PSDaXKVi=}bW0rpqPAY9xIn>r7l;~fgI<weI
ziWyS@t4sElydYmx{mXehPB<vf#9!5xPW^i@kP_92#1KA7k0F9gh5?b9mQ{wzCswT9
zd{`NYJc4F%R$ARHFIjy$c%xfE^{4)glI@b1$B>3i$Cd7-q>8CgDEGVmgD<eqh0Ij_
zwr-NRzv)66vNH;&Y+E4bCP<>dmXd|jl-Dv3r%$Sg)dy`!OGtHw@s;myW}<;_Dt`o%
zgXGOM3X=33`q$_456^Xs%eTL?Dn8`gTs3z3ta<L{nf}@?CtrWq;Z#`#G4!O2Hml;D
z&KDA0o_1-m(}36SQ}fx%mcNIIrbV65PFjfM6p8(J-EpB!1iQpFlI0rLyvi8|vYZBR
z7UAE1)%oB9UQ*v}S_7-n(D)4nFIQQyd&gugOf`XTcQMa5F_1w7rVhXWH3zNX38Hw}
z&0(@@aO=dil%T(NG#*uVPRcTvAFH&0b2Vf@s@-c58izoVrtm_daalEBgRpYs%4PlE
z26+i3Q(sZScGdM-;3V3;ja0g!d(sDK{b&g|>=w{{!_evtr{70?95HKH?E4uAGQ`;l
z->W)4dbMkS9|?fe<xwquo}gA;Wy;_Q-}|Kd<5E@InKW%DaJuSTc3<~dzbN9owIP50
z@EHieLJx<4BxmP&l6m>>r%{vl=ZVF9{kY?P-NaAZ22W;7atZ?hQ`pOvAUg|OO^2k|
z{}!sNf+)5y!vk=O4Vn4L-%~<Th<reXk?HnR>&b!y!xmk`z~?gO`8FrV_ijIXwBzxw
z!*j9U9VM?d!~?iut>U0!>ttc#{PhRMoHx=glX7k{Y|k%ulqx<zku0uj;CpVx1usn0
zWq$(QXMVsf_&$c^`Mjv?Lw(Z$5V50n?1?efau?r0JW*ewaBbvAFicBhM%S^R=v;tX
z#lf2_lK=0z4g~mDvQO}z!_4qhyf@aK(^Ad*1pNtkp>qp^h9Yyq!n!lw>lK&3u@IZL
zr;Iq%hz1LR^R)3HAK*GK+PEfMWABnY?&mn7EWRqif1m_0c~)FIjdovgosnC%Ys^Z~
z`P*_EDhu5RpcT5;@GHP9;!m&ELtGJ_vEPPFQSg}XG>Hp7c2rH&Gw(oyw#vVa{-0<t
ziUOT%uT>uI_jlfRtZbym9?VnjIO#!TY}$YpRrp}nX7)k0)GcYOuKj8WF{U#Fwht6P
z?1k#)AD2J_`8{2yYW)_^`6#OrTpz{N=&bShz#3r3jttB|I;n~0MzaR=#Ex*s5N_;s
z$JL1>>ie_UP)**Y*gAh+pxi%`<29~4V6!mVm8xo~V?|%1Mp3RSP@XCLpHK){Yi1(D
zZBskbEK_=7`3Nm0DVbayVXYyp+mJv)f;xZ6K+Ra>3}g-~r>XWw>zb0Ez!qEOuo-{$
zT=Q!8!}BfBK#6tqr(Na*&*9yo@5eOKs%F|)>F4HGc=iQXa|`rY3s1<bvpeKV80t)1
z`p*D*^1qJ<`-@<*oVpTt)if7h)uq??qR*R*DblT0)MJS0hOOFS>Zl>&rKwA5efpIm
z392wIm5^At#$@3{Op_`a(ZW2%&j)oa&{=64UiN?Ii_1m6&e{KW|2{h$uWer9jXVTA
z`&O?L&d`cV1xpW<lD)IabjFnu-ArUkKnsr-3CBrSjuhD^8ch6wgiJC7r-ZUyQL3b*
zG~E~BBx~~Y(B8SOU?0<dUDtVkzk09r>Da>HFy_8_{(IGZOVxed&quBKmU*wAG%)6`
zp?5}MXwnj<xAk0y8p#ys7l)DX<q)=5Xoj_i8Vd|)s1tI`oMrgm-5SI<?^zg6s0&}E
z)z+IbU}`Te2eY4v3TJ<&>8)24;FSGTcc%=80UaVptO(~CD%cuCUAU<hoir+?_e3^R
zo4%YYy^qnH8Ce@CE#~qr-Kv~qH=(?+5`iFNbUJP_QXssA<=oK;jWjsDB%<#pTR3S3
zn*wcoGDSSnpz`gC<DbC;G4RFzzJHP$x|SRVFJ-83OAV7-rFv3*Q4_tXKn0!m&Mxrp
z-C^~0c-WR*O>add=DT5OzsRQhqgFMl$%`Fs^lH*@ts`4yZJ69}X&YMq8#UtjOlWwy
zcq46^9K51-EgxzagaF}OR4N!AVZq`4nKm|SUv&%VQS|UyatqIrXy@7Z<VEYGNdx>g
zLis?k_z=Yq*rXNW!VMjxDdJO>Ul4I#d1ZsPw^C7B<hR=>(FBSZ_jpbDk^_;t*=OR<
z<{Ih}|8oI^fPD$UVKWq2d}r$01cwhRAPCCPe@~pB`U{3M$uPFpa}IclWu`>hww(@4
zvp6uFUU4y!3mjI|$<BM8R&!1eIQ607**E3Mfi%6-JslWQ!`8N_DDbO&+&ivX^ElH0
z#B`!V^ET$~3eRE1=4uak4Ap-o{q%g;dLop_9N}|WMMd*F&7Za^(1*t#29)NXc#ia&
zY5(^LAOtX=#f}bH#jkjnWb%y?C?8`s109^t{$($y*M5Z(GPJku<wvY=6eeHK4Ruw4
zU|<r>Z4RPuGPGAaK5P%f7ucq{y#YVEkN0nV61^uHeE6HdTb4f1?6CK#S^$=~JmE^}
z2DCh8yr6PlytcYfyIo-mG^j%S&k`U65Q}!L%I+sdOKr$%rBy5$N6@QlTakNar*WU9
z0JrO4{oC>*0_OwFOMuLXmhH}<n4cAx>9bp;k45<L2d7Z3u^CPN)o_kTf#1F5GjL)*
zw@7H1s!!@pRl~U}JZsKd@1N`bx7v_3;e|O1&J>jvZkUnhy}g?E+|9D6{hL(nT{y&g
zEt2r-yT3f&X&-_6%G8JV9P8fay(qkYB3Z||t`<zpoFT&VH=ef`3o*VIq}=Pk_N)$g
zo!!1KZ!J0N_lO&<8A_3(I9LOd6bwAKlNzLVv=J8Yk=+ZkbMTHHb=v>?%z4BFi;}dM
z&rNTayMx{c?45F1Wpc%bk`v2}?>_wji)*G&ui~{PPr3VPNJigSO?!vAb(XqyjONpf
zI{!!GSlArDBsBZ_DRJ~xFjHXIf;c^5oF|93&1)5PZ<JjkX~Hf1<1NkquJC6<C{~xD
zEmt*pbEUX#O;b0P_vmhgqjXjVGsITUCWaDK$$j$sY24TPYE*38yy>Y?yk|d12|YHT
z6lU$f;FE@(@^@Ct$iKY{-Qi2|ipONOU68+&{Z9-4A6=$s*l}YQ=BjoB_O2o6V&<6F
z7!}eniS*}nL)I*vnwA|T4#GUi4Q{o1>6-U2bf2RiDO$XI?TtTKO>2LwI}A^C>dq53
zuGX1V;eoED2D?S;Rd%SL$edXwascj5yR=-fhUO($z*Km+NbKxaj8dN+U%3V1GnZHh
zZ`JXC&TMlmnn~_3Wxpx5`CA|^S-fq!NK<VMS1;ANCXKX|f!nZJoPA%Hu42!T@m&*}
z*rBK7dnLU;an<aDt_1IV+yR$MF0Up%3j3fI3VY8-|Bo1BCoS-+kw=6NN-ux@uxvzB
z4)0J)atwVN6n?iv`jweZikL|c4m+FW)f;*EE-DnivhsylaT`kx7+&)dIhWB&@=Pvh
z<c~?FCh``GjOx9GZyUvD^i7B{2oR$Rv4+PlXhcNT2}1Yf2fI}T=BYQhHJgzt7Y?I0
z98triIk+(}jrd%b614Uzx)ELAUal;V!niFHfH7eb=0;ewTf&B1XqF<iYVqPt7bH^_
zA`4CGaaZ5b_%k(SC93`LdyvMFACg<*7GS(TnNC6X4dE_@Gk>=fFKSQPC}z$nzpo@9
zc=550IF4@2i4Y~8Uo<t&a87w>#s4FG5nNjhp)tb!mbu(jU?n#*5>+IN4hY7G5rQLg
zNXmAsh6$rMvp6HcKN6UD5D)V&28D=5OY2Fu98pnjxW9`1#+R_fDv2~HTc=1)o6~K!
z#JtnW<~{TDdtX)f5(fY4tDs)h5MH;m%xRC4i38fIrr)501HhHOzxeqv;Lf>(Uk4zk
zMRf7DsI2K-+|75cT^qG!{UBUAMIm4d7Fg-4Szw3jpT3&1BqfIga4Vs%CJrW6TQww2
zBgqZL5(EZzXP@gKyz!&9bNS;+!2*+k(!Z%^=+QARy0YSPce6-sDryEGRlGY8kVB@h
zsHep%4hhtf4sgyn&~l7hF=GmxhATYGe0Ws3a_FQWCkzlI?;(AG^T*n`>7&HPR)WIS
zZ&8QVE303i9Ih0w{hhSfz>|B(mA%9tu<pZr0$`N{o=-J5AbAdWyk7q>Wbp9|3)ZzI
z>{D_na&E;t@UD=M8ro_*=h@iq^by7<nr4DwVjc7Q>2|wW?jOf6N%Tw&<{a6equ#fR
zkEf{lftD-pUEX#0I7stVK@5l4@|9R8?ZFg>ge30ifMjhi8V{?V+DY_u*W9C2!CCWB
zG-`M{=^A^XO%~`j8w3gye;WdW+GW!Oxj#4fefs%(+dNZ$7;1^nU<Q~!ZJMH9aZa~c
zKiq7_Tr+or`4}z^UNafO_<4DMLYV0jzkvg?2rGbtPetiz(C;A>k(Dvy(o7)@pM<?D
zOVJLObyjSgW1ybHJ(!z(`vSw3`QUQizz<;Ox0&;xWBKkgXB%;GLn2~??8g#y8g$-I
zsCq6n-#!-U89dCSPRx;sO1yrNY&De0_*#baYQ<$Dg0aJ6MvhYsGe;=CdUm@(SRxKN
z1<#v*2mPa@dgJK;p25dOGXSt2dL33?J3L=G1gCq*k&{g(Pmkj=sFrbtbo~)05@G3`
zQDiqn)(OIj>i~pk>%-Xy=YnC7?mONLbJ3Wgmvwj{`w?r@@Hg@b!jeZJN}S8Kb&xYm
z-qgO6r!=iN_6zl|&Tnx$7bygTDLxYDzk1TsNA4~`toZcdHrV7b5Rt)A$a6D_(;iGA
ziPm^+Pa>&aEN_8eV$E<?WSbn7hHAjY9KK^2(@aEKEXXQXKNkl#Lz+Q1X8tEOk^@^R
zB2<gx>tgVuww(SNo>A5F)!L_HcF-6PC?*SC``t|@8se`PPG|BX!XOipg@^u3HV|80
zlbm-4!0+BH0Tt1rZMfy1)K2q}Oe1cjR7sLl8&ynF!9%1&pGs@lZC^=fD85y}%*d~{
zmBo|FEJ8}6-YoBDT{@eUUZM*^;TSnM_ItjElt^G&2Nd*?`*LCjTUNNLah;ZYHCFey
zs5f$r{HnuW%iV_M3I-}*DWI*vfp1~@5mm^8((E4Q3v&=+q_Xpf!9%}6*dQuP2}`Cj
zh2$ls9nBJM7p`{FE2T-aF{~eq>5fK9@NyPzxm*Q|^ipGGijbi#jqQK!j{fBkEh0h&
z=}UqlG@BrmWD<g5G3>=Yc;eqNkOL5U8Fmo6b-p2n!sHIjoH4$g`5Ih5d>8sFm3U2I
z+$cO!TZW2;yD$V5GLqti4U;l7D~IBRVg;3OJ_*a{Z!2TgJ@-%7ot<F5&8O&+RgbL5
z>kD}cN)uD<r7tV;^~cU+uJ|I`E~`-XukUAiAw@G72SaI+8>Dx1QcIL|gCN0HB)MBB
z-Ayy5FS@ei$iDLX54&*G_DSNA<-$_*Ia~+@uJv37YgAY<r+;Y~XIFDWy?^r)XjpT;
zTC`XPg&BM+=eN=`{f{8uFpP)8F2fez_ohx;1~@ya6$4xiLf*76Wspz&(RACQYB%1G
z0Md6l%OOrT!F+P!sFI`;%$rgrV{{!!><u{Gsb50Gwf@u_Qn?Fen~1Lk2cqSrJ~keM
zx8+hJ{FT^@)&fEX5}-Gci}eh)S{#ZaJJ(-h?4HZ7y*yJg59)&CPeAsD{`$M#8hUQG
zP~uk_)gKXR_;Gpp=$$yRn$)M7g)suQY6@v{MW`yn*zkj5p%G5@ILpIv=x>>`DSk=(
zeAT$evKgLp4TDd0wPeHSCwpq>&{OpFJ}9Dq4huxI9+C}h+Svd$KA+B6WtrwNixLu4
zk!8n*q%ouuq^l6ODTN$4zpXwcOX4;(IZif7Tz7b)wka}UJN)H|CPg=5RzFu~TCEVY
zv6;BkZ65J-(#rg_4vWM3#Bi5&pKCqan*NTvxoUYCq-_jn_7C$@Muv`F+9Qb4veI~4
z#6&?HFl<dkNS95h{w)FXG?`!e%J^QHEzI7OaF*HTXRgp<irN!L`h1L)Ik;e-_{n_V
zA6=RE0%22jCu-3<E(AY>(=9CyGtXac+%t3h{yE(-u3fbkl504_L~5D5?fv!uq4I)T
zKCrT*)Xbs(6lSEqO!LP6#r9EI>ctpcjL|#iZYuh=&E7uofM8!^8{|*47>bHFtfm?2
z!vlq`wFtqfwNiT3+{$2@vk)&-K@8;016a^aUCyIz{AqzfKowSbngLex%dWK{hC{B6
z^qfPu696}xpY~&=jDAP6#5OfWVGC?>v^Db&frSe(q9Q?)5k?nxT~Zu%v=*{Hlq>}D
zp`CEPkFzG~ozve8I(r)aDAxU;$SC!dqhM4ZOp@KtMJSfeLO%gD)A6?2d#IW(5tPSO
zbdb~ygT!zYHx+xQ6-)*LV`f+si18Z8;K*Kbvzf7f{Zyt~hlxdF|Lx3JsnHSbPFaCz
zQB=U-aAH@T%;dWPUjs{EFm*|}qP#*S%ZP_0udEp@w^_#Q_wVV3cg@%(e5PwWP20&j
z>Bgc3FWs~U?ujR_xen)Zw<13KH!?y{=YayWy}gMSj&_ZfKPlF}@Otll`I&nC+c?Os
zFiD-~pyaD){0Q7xTUn5tQeHS@>Vap(>+l9*47Y167+Ffub3o^IQ_N_mD{lUfZH+K@
zi}yvN(DB-rG4KNI3u7Wi(u5!PcN29>!lgZa?`m9UOcp_UYs){Y38!qPmdQaPj~-kq
z)R`Hy=bIj>D-$BT@y~Xj8;EUn71TUrwVDKd;3kXFDoB*|y&ZN`a_%rZr-!#px1wG^
zlH>Jq)Mc)2xC~qZznXcDiyJUV>v7D%msJ8co-ITFSscCj$fkA0dBjuhj!jt|8Z(K3
zt2oRQv>@LB3hLUaMK|MBXqQLm(nj03(8yEl_i>&>u07;&*L8pVUGBQlz%U8ZzJ2CF
z{By|K0G2F#u%EB#VE=6|qdu7@mn5H7p$kC0EK?h{!qYnZqZa6D1rhAMZz8C$g41c|
zbOO0rurwLdEBe3A?ReEcsY*3%P|a54chbGh-`p_#a<r4-KrykpTY9GRFHD`mVb|rM
z1hFw1TFm?y+hDh)Hhdo`S|#8aGX{+nCd?wy6Q>dP43JJYnW<K8@01=`yXj%uLOP^7
zOwj}SK`u%mj-d8;)(dJ~kU?^VWlKxaIZRo`y5j`}i~7$+@=<28<#sG>`gK`zu*oPz
zq|((fPPK=0{?4-zg4-_bmPp@@7AwC0)TTv2(g<RjWfe@}FS<QLaBIYX7)1F3DDHV_
zzJuaTue2uVG26$i-Izu&H165$`SJSGi{Ib~T{TP5LmCGKHHg2Q-{(4q-uvDdp?B96
zp?`_Pl15dEQL0q=MM@n<JFn4kmLy;>kbaMG!JND3fz{M8yt|BaLI1Sg0geonWzh0X
z=(&YPJY!3Bd0|+q#ym(WauBW}R<adb)o|Q#fAoVitzyL50A$80!T!YIo{4~2c6d5t
ze2!NO!t&9YMb;^&!D&|E@|{wOB&}JvUKj<6ti$NgH<8&c<J=(ATLYJ%<fx`fvHU!Y
zTB_9uYQO~wQJVMr>F%mlVUl)YNfjYXto@hS*KLD`7rOdqsq)lzJfH+MxGdA4?|e9W
zP2j3%%tXA~TMA%^^cPfnO%xE|SflYIdVtX9LMfSE*R?K;_(&Bpq_+8bI%@rl1v+4O
zSNsJ_$s9yJ^0Z=YDC5JT>v>@Q<1}82D#aaJ2uYc(2Qq|*;W#!7QLYiU&;~NPDn;MR
zN+a{>__ij-2T2O_c=+1C{q)#kddQk{E4v`KwI6l{1O;YWhz2*pmLa6c699z(r1L36
za&~6QnNIH5(2`erTm0eC>R8!ai)SyREIa75BOj5mP4RQ+jsHwZfYV*j65&K6t@-WI
zX3U58%<~iL`Zkc4lN8khv^yfrF$Ed%?xiY1G2RS6WFmArrBB<aNcsYjkY=h#cdSxe
z_4anc&o`Vr`6SLVWfJ0YVe7WqI>xb_t3??IaOrfdQcXG&;R5%qIEnZsm!1@Pt9(9y
zTspBlJ<J0ohXWYma#S;Uir_l7?fK#1*PF_GS5a&A(MLkjyS}#yH@IA|5tTs$lw2pj
z3zEyd^u%|9u5_*j#k-zLKw*<h$T;MIf2WSTB-FYS$cW|gq<wfAaq}){$`_2<Ba)y_
z!RAAvbaU~M>ek_rt3+$4r0KAVd!x+<xYzI%{A_t*M$z7MTBSdvAL=gY9Xum!23HWd
zz(4Bg=C@IqltY+7^L}p+G_^$x8zo5JtD_>(!3+GVP5zE0frC*u=#pBHsbhu-Hqi!Q
zMA0ewA-ro!=3w4?`rKF;oJ)chql3>v<4QxL(JwHX#W#_eSt?o?TOca~+nKkBTB^p^
zi?M^mS?iCz$`LnL3G!<UQ!D#oN70#?p`!JZg3)jx;ygu{P<tmyLXm=sRUivmxB<!^
zjL49<00yTxy`YxOa<qMt)}IFLnp-<F3yNE5@p~^GrdBI%xd-(nWG3C&2XfliqBOqt
z{Muen_L4`za(o0Dn7B=fH&^*D8C`^5A7Np~Vobi)W)@{<cCoJ-hpnOJk*goWGKa0^
z#gNox)Luccbmw0|I}z)A@cTVi?aN;4LcK3v-YH~R3qbkb1RX2xu@cb1DmcZ{S<vFR
zqPng@%2#11MFx6ze=CBvOHfnW;p&NTUX3XJE#m!=pwib*pf0KlhY&<8m6K0-O+r)Q
z0rKzG=3kwSw{JvA>XVA7Y1s}}Z9$QmPZp!-&P18zs7IHfu?)Z|6z;9q`a*wSJz^Kp
zKuI$zaMr8>Me1lA#gXmjLVmIYzv5pmIcvtc+NDy)M=!|p&H`JS8(cSPbR)w-tTX9h
zxfG7{$4b{LuN0V+euXW*vAPk%NT|dCU8wl<;J4y5=!ufD1eg)b_j%^bT<s?PCXPji
z^=|Voc!NnbBeIb63Wxj}(Y@ofvdqq1szmphemlE>dW7TGHE3%Xj?Ai@=3TWA^_800
z%6XW!gH|P<I~1cnMZ(Cz-jz)0t<2*7n`^M0kBW^8!@{KWC2z^BINtX(qk?=kYnszE
z?z1dn$nP$ID@ogOv64|Fs0g_-Bt1qzcgEd>21hCyq<)_>R&&>VjQ4QtCmo?U|54cz
za=_hob9wxwvT;qDB~*zW&0pHl(E%&2CE*YyQs%dgeKTyM%dcVYNkOw>7?O^Y&L2kX
zmYrsPvM>OTeVbg0g_|Ir`*r=-xYw)m*;X7g=04EYSd&)H>9X^x<TbDC{tP*@ojJqU
zc9zAbZJprM{`*O#mmQA#`wsXlOn!N9`18<zPNTKwR@+2wltM(XcanR;2|fx8Dpy;f
zl)D@YhA;be{jejOjL;g+E?H+2QWQv73|vuUrj0n<k^&gue)NQ#{MO)q#4TB8(Fbw;
zt;CC8ntON!&DpZatWJm#MdA22Y9#Hk4cy#*na(=rK!)w4LK1_r$)mcDH+dAi^O??_
z;xAuT;LCPR!9X(}x!UbT<5w=2f=<cb<Rsma)YP4V=0aSn=vS{#VCl!uYQy>K+@C%l
zvn&*U=KDH;!Omr<@f_L&vXc_es(~P{(Rh<HvBS$goqa@!6{~oLzRN!P#2r-<rej<6
zkqxwO6I@Pvyn9IpG(qmX$3d(sdFU@E0(qGNcj-MEn>P0YCq6W+Af8OT5<$ahCUK3K
zBWzNA_&&VSarhzT@F38Fi%E$mes}j<hMK-&_#p4uL*~j<CqBy$JuYd?{Tl~A6kUb=
zX2uQY1Vv0qDyD1df}kHf8z=DySpf`fY!ZtSFWoc-0D5aUh5CcbE{ILE-m(a!Zz^@V
zCCYE#^M9RYxN0LAmw+af2zs9+Qjo3Z^i?GGJ;fD?f<kK3PqDfqz7kU9$U$h9KDQ-f
z`O>_4B#WJZO`sW@UN^*POoC0BiIQBsAiB_~Gp)~_J}2ajAw`_dncy;e9Vh)-s&<m_
zVtO2od){&WYKo*4vn`>AgfnO0GfAT#?Bv)fcYg6XQIIcvkT{Wq#m5HpKRAU!S0lce
z`2{Owl0&Vr_%1XI3>un7u=u~;WHUUS1><A(3Z%DUi>b{{Mv*278~+S(Ekou@nx$Si
z;5Oh`wE|<ojlLcKJdmcX?2A^jzL0w|67j~0C)sa@DaLURVt_5RAwGiPu#7S51W}kG
zOpsSWN=xyr0Q|G;x7);$Q%kGJ;O?E%)w(yUWgZ1Et7-3goqvlK!2JxV;)`KP_vxqA
zM<WsIF~TdaA?jJkv2gOG`6|^iM5prJ$-X`LA??<My6PP}F)>4UZtxq8nA|<;{d+EP
zbdHd3Ei9)oGo}F<3$t2!I=MTtDyYp_Hk}rouK4=fE(B0(pTd^6)p?zD?I|J!j|I{l
zzbexK*erk)b=<c2Hh(gJRKV!9-TYR8IXnDVFmhzx!p95jW%Gs-H$UyO=4gr!=2r|Q
zd;jGzAVpC>9N>T=-1S2sFUda+2z<N%Z*h4qgiZPH&n`xRKv(zaS?%I~e+a@CsS0Qe
zLO%cdU+eHdPGWxjRKE9LE&yDm#Jei`f2jfRM=BU|PUxhGvB}324Qem?yqmV^f&A%v
z=p#(`<s~wgJaoY}G1jax>x0}n+!re2u!3bVklX<}U?6AfAc|ZY4A*+C1r3cH>~H=K
zWo<iqt_@9t-+D1!PP%DKXj1#y!nUv@gV)4;?D>@cbK5@ex(t(VTX9W$oze=9ReOBe
za$0FL60W`|3hL*==F*Zz2N^b864f`-Dg<JS5JW#M%s=?6lko5Jb|_(Tnr}ZeX1@kW
z31hL=PzFU(bK|garNs<CU&g)9S-1Qat21Urh1#vyKhJ23i+n~DM8AwEo_p2|Yr;m4
zOEo~{1qMZW?~~`KT^W5MZ0_7I%0McngQwe!HP!x|$xwXK{lii$+{gRvmBTLMt)*rJ
z0+$PN+RtkM#=BrbHK%tJBfZQGET9I)|5p$NCzy$x4IS=nhO*;AJTMT&9Zoe5CV;;I
z!XJoCQCF_PLW;#Ap@jwBX$LoOH<N$B+;EUKCnJE@OkeU<j515g4KUlE1ng6{L<%t9
zUFNu|m9o-AZ<uRVoZ9}zl<Q4=3V}}mk#+x%Z-3aL48RQA$Q3587r-(s6~KgSjuR2{
z7_UX;gO4Ej8s16-gKD&@5)u;YN6n*iIe#Y_v5#!082FAd53T^;1z<-)vI7&1XfBJG
zJURrML+0rMQ?4~TmfpT+X_5EtCB?XE1;Zrs_bn2jsCzzx2%G@usslg*$sR>STY(D%
z<eUpt^~Nc2yvN=T554lde_==jFZDkvz&P^Q5hC+@0V>E4lNfbewS|MVzOJR~<}2p7
zYUf5EBJgdRAXZM(HBoYwQBH=%#WxQ5+zY0QwFBVM?~e)LCm?$wFf~lt)vWlekpV*#
zY$R`{o&YQVik749>wnNCzSTF11cQptp?laTA&$E>-(=~sfGQ#9rjL?EBh-EAo6{a$
zaC4rD9ac0$tJ@K{d*Z~7i$X@&99K@=O=+J!F9QMyZPNj_)$EIb`>G2*^&F`DTq0h^
zl`R+4OtYjUaNlSOqJ=4LgPv*MStW@qAaO8sf<}n<jP5`Gz)h}1+TG>jE@+pE0%I+l
zPdXcwjD+{3>g5vcizYgj%G~@2FzjKCS=LNrnr%_pOBd!(+jr6Sj!{RAcu-)bbWXCa
z^H6g8R5-5GQCZ~r`kD`0hq)a+xFrTOrdU=!v<=anT^8Pa+l!KX`Y)E(2no@BhAM}(
zDl<ojWyX^0DzA2nv%Rc=Xu=OzM+GF9rr@VSw7?J;3hX>JmU+#_zv<?AJG=PW+|ayh
z{Qy=S^jDbGdlhcd6BZvWxudLs%Ynm9ZPmcct#sI%pHeQK`T|N(QMm>NCx~X0CC=1d
zlc>}eM3Al=!px+IEo~Ia7qDVmY22g!B(`><>BB2f4E|&qGS$1MJ9WkJ<jI;no3tzq
zl8FWnzp*}CmMS#+>RS~i@m;YhxIInV7#-zuntal}*0I>Dg73VDPM%F7Eg3w38zO5>
z3`i%F8p4$t)}1OVM)!Ox?%AhauC-LZSQjYuc=Zv7A~l^`n7LjKttd0G&RQ2lwK@bS
zGSv5$qy81~1N*Oy7~{lU%I@aF7~E;Nk(tZFh;@21x1#t~uigm`+sa9m#Cxe^dzYO5
z@?2wGA!DiuQ{<O7a|1IfSAZbUc!E5m%Ejo9A9|ZasPj#-^BuP50pdH;^!m^6)s+m1
zrOg$(=PoXu$1zjxiBs5<J4mX9c^S-@u<^E0lh*nwrhItki5XURT7`?jYX8`7!y8mf
zYAg!ZYeDIh-O&OHk9P|B5>gqZ)r#aWwmq?1p1f)@##F^>sjQW+qOfB~eu+umA9r@9
zn1-{yp*jrfJ9@f5zUFJRSDyKrn7G>iQ)_~v=oVs`)<YGmIqN1WR%#y}o8I3>J#YW*
zWKR7svF2NA>sfP%nC*{C<T_M|RH};EJKKWNMl1pyF&=5_0hfj1)5IxD+8`_Y?{?O&
z%Kym<x+aPIk7D(y>h*>{zpN}GiIEZrW^&_uuu3ouBTK|XRD$DbzUSV<kT_W(_KQv&
zstPtzlS~FPr%1a;1mNjG-3fCxq267bq3@NS#1k$TSM07EYoS6z=1pBX1r_2c^ju@+
zZHW?T&vUjSa<_VuQKyfejzfd0s8vGxz431@6kGmel+e3mB}(QlbUtpW-wHj&_IY$n
zo4^CGGN3HU>#p3C@=Y~TJz~2iyzRhmK1I}F4`L=$I8!>>UYfT!OO;ZRUDoKO0VKUL
zf69a3J-+O%f1AftAYtCDipwufnP)5$L8KG>Ypu^ALHa<>Xqc9yChQAv{kYrvDnaN|
zf4x9CNCNzN{F={(X;r$O7vAq4#!>Xh&@xkA>Xs~M8n#^{p$`e;q`?pOj2mGJ@}TTD
z-y0L~GPtw84bXMF^-DNmk?v)Dl_BQSyq(ONU5Yb+vIq>rB$9WI8-cRDde;=ljTGo|
zD^HIJkMV531qfBy=b1N+kLqiv{yVE>-$VVuDoY$FB@(Z|hTr5;<R4mL8KJ9NvMz6)
z4-gY6kW`L$1;FgoB7n0?e(8{T4^tQ4*oxE^4oPrzz*c$Imz+>ZRtqHc{sp>Mb@C#h
zQhP2T*&r*DhR5HgLsw_k8MuzGbSlVv)73`n7oHnWO<t!|?))2)S~ykg1e-Te)UD&_
z;n)tOLYe;&`USw!6YcR=uemAmiS!_1sdgP*G1^`M9$Rfm<8SO0(*H7w-e7;#S5w4Y
zTWlT*$HE!T1my<{@rsX)osX5BSQ}F4cQme()Y%ss>BpK(V)6U!sRu7;yH9B45#7Tc
z-&K2rTzfq|?0#4WAW~b!7BI)s<4KB*_a$e7FTa@?V-|^8OvE*ZhsM>ekKa`OCWUQ+
zOKtQ4<UNO>qxea9qv9q4qNh_azO!a&D-1BfW-Jf7yb#Qalhp#>d=$^)fNCG2xdkv)
zrF~u|RCRL*S-A_w;=xC7??}ARM#8Gp)KePoxQB^D@qg<e?x7)*$g)Z9Sv9Y^udk*I
zKJ>mA9A35^hRJqCjd<_a1w}JkE47SrmT|&;fEj+1V0dby1@!gp-s7*k3*3KXk`Yr|
zX-Cz{?Ng|<%UpSn6Hza#+u4!JqW`f1woT<Ulwlw}dkbS-Rf3c7>fI}D(8kBmvIqQU
znOa<dRkAV32*j|6(Dq6Q8~r8Yq@^YI?=aGb%12<?<IRDyOoP)%gL6Ao4M81%dP5}l
zy6jz?7el|=DWt>xJ<2`tL;){{lrb<-do9`m5VIB=oU(%0%z=BM2g(<56n25}(yp(*
zU<*jh<8#B-7f5f#l~jO1^dv)K0%HTuJq=v2ld>fomkjW{yU>Mm4eWB*6Y9=fqDHw{
z1Ol6HTPFCuSF7G%igZn~Q1~2g|EZhk0Mnw?K~5jjm;QxyTK^&+s}f*|;#sF3d*CUX
zq+4%(NAN@EhyRig>TfjW<DmSt40Io?WvzL6zN^%p|29w-vHuYhnSg3pYmC#=?e6my
z<p(XN{&#5mU<so5;<kV#p%)MFG-T*om}?aKPs!v2#rCOrTJJ`n3IVxMlx|tDo*EmD
zrNQrfZtHjQtR}_zHke5;Gs~ix>Vx6m3?97Zkp{$$54c|0s4zm9j0o|$-AB(gP5%9Y
z1n;C<AhqETaA?^tLgrkVEItAqSb{Ie-9!{z1upX5e5d@&5?N{A`FI7c_7|Wp74&8i
z>h|~r%BX;Y0qJf9+=c?Hj#ud8mWxHU=MIGZ9en>Oatpw`S18eP9E)3|gtuX8!Qtp=
z`ygLClyi9cAVjq)loZ)iGLR1_(5N@#+J#bUj5yQZl7(M@`_l;RK1YQcS@FI9JIy}f
z*i^e>U0%tD7^ujEp@x8|y3G*~YPxFpo##2wZtb!Jfx<b%a86AlX?Y4L;wh#vai-{`
zz22{UhlF*J;1?);9`xns$5792RvkJY?Sa?{0v1eTq7-0KsJ74~U!@JHNYpL$1fi85
zO{X`W!^n_nn;oJ;sq3Xl!&v*;(@fz*>rnOf;#Ygkl|S9)JTDTa%ky8VjtU#s>Xinu
zaG+NdT<GVQS9hc{Df}TJLJUz;*V>-Rd8((hu=`?Or8O7&BL4tFsbWBzkPxj4=W!Sb
zBQ;M;(?YCCFH@cYGCLT;fO%=5#-pW3E`1U6TGVShNkiN2R+r)PBdkz%sL7Cti)=AD
z9ZVp2d)&zQ-av_(@F0(PIFG+h9lQE)F)1=M-J_B!=KR?U4)EYU&xZ4TG_=1+?X2#2
zLkdv8PEiiclUfQ)XjT3zfS5$#HpH(<Rwflml;^vEC)*!jwt380W#2|3`0N}zw@B9B
z8&!hNZ{M(J{+>%+s0>qBN<Vexeyt4#C2sh{7MG-?j8-M4%Y~3W)oa<T<~5Yalw%ap
zW`o5hbXmI{RxZ!}SP7XH)__$wuDR5}03U2&ES!`2p-h-mf~btWRQcLY0*WKlE3X=K
z|2bH;y~UN~1_|9cNSS92!;&mQotF-a^7kiMy87um23%JKVfV3C1a&go73^r_Wh!!O
z=m?aaQT4_5d5R{K98R@;_PM8x-`+~84_+^%yGEYhD9O#MTW&Fp`2OLFOlRE3K1n-5
zsf0u8Cqfayt>h9^OT-*35yB%7elSi#@ez*aC{UaJ!u}4~#JcFZ^Y=fgl%W!uWw=Hd
zn#E^yCquYN>tOX7k`Fs4vBfRqRylGPb_m^N1-H2g&0>FDzh_Xx0p*?faCR!U6A>Cl
zkZY_=71}A{K)0y0bKd8IlZd&!;P7b}=8%|@QX4a+#?efBb+Z2)c=XUzD6fq>#UuAH
z?zQX|Q|I;+Dc*=Ek01)ETB3iZrxvAT<NZFB{2c_kv*xr`5!M~#KfzR`2b=}Ha4K^N
zCny|NN7^9~-(=6{)DybI>NE&F#hR@e8WKtiMu>SoihJxA%JA47n)0bHLmsXe9QF+t
zW&KP%*(s;K7$Ru9-U^*6(#D<7J)A?+Ph}m#&)SnHR&sJkFt=by@-0R>?V_B#Rmk{q
zE-$dqwaUk~YcN+VOu{5Y^Sw4b{KY`$SyJ`IjKVUSnLG|@Fx|zlr<L!J1eFE5;P*SY
zN0=4dfsVPUGY-Nj*(oJThcUHuUV`~UTjji!H%1w+8o{B<WlL$sy_oSUk@PdYgfa@6
za5+lWPVPS2(4@waV9)G;@*QHme?ldFIi43=S<t`Q8j8#x`J_O3Jg%<7D-45M^9Qx;
zNU6JMJwbIemsv1}i@a4SlBOV;%NgaHcRX4@aw^Ap`EPSVgBfG?Zb;!s={%Go-m{OX
zO0war2=w^QXh@Zt(^N_9HF_8uEMA!8B~6X0Cua$WFF2&PpB3duSI5mJ$x03X`UdzJ
zosbNomlP_ibQAmq>rtKDhvfC~N6U*i+?!v2S>|r|=hCStSq%=t&__D>sXMS&DTa3^
zn2u`(zL9bq|GCxo_ShUiAs*$^5GX{56m>uacZa)JK34c^3{I@Y$U)B=<Ex*p1~ybY
z1Ofi_qlC8bP_X3W*!O>pc}e&(SE#6K8%z!)1mb)+&Cg*G?r;Cje={I^{Ecta$xi7Y
zBQL@i9i!73OF>$F+dP!ZxzK<k91Tw$(bC%=fS&S~3D*{eb%BQpH{1|a1`$)S^flXM
zV0nN_lCU8I(dmaTi7#GY3`mIzsrth#m1qo=v8417E4vNh<K|7u5V=6*p!wKpZsRU^
zXY7+ZLJh-9`ULyx6q*dJiem?|RpZ(rkkX7z!FhJ74cLL-Fx+Oq<WJ1UsR{WH&Cw#%
zdxe>yBXt(}zU>*#p6icn+u6e#!o(ZelwYYxha>v2Kn)#I%d|55S^8`>GT*daLEzSu
zfi^(Adx2B|=M|y7Y?(V)dQ_OmJ4I2(H=v^eZ*4CEv%tyIw35G4X;SEgg0x)xrgq5t
z@B}4?4w+QBsfqSDxNejQ{o223(H$%@#}vpCaCL5?G&sa#Q+HNty4SdkR`q-c+~Eb4
z&cToRr0sWKw}0Cf+v)@@z-^9=Y|vbG#CIF<QjZM8i2Q8hq=krdszI8tW>S(y5!oiS
zBMHkTE;Id|!`55XV%2S){10qi)Pug!90ZzdLi^Fhsg<8`;Nc8P@Mb^~Y|)M%#d8b0
zjjR+*dRj#9DiCRfAn~;S{zCf`l&1d4voNLFJB_LCS+;pr0hKCh<>ixB={4(#b?iNV
z5*w_t`)_4r!-YPZrX7DQu=x@$y0|R8yu)*4B4@=eGqc-+&O2eB>7Hr2pVSz;7sF&c
z<IVa!;RcOwxb3K1Gih3;byRew`=RwzL!TnrKZ2}I4n>jh=3IkxP@1<XBkm|Bb;rw#
z7RO<~V_GZ^ZQBO3gC=822Ck}zseLN>8WJ}!VR~NZmV0l!Bs{_CC3E}{z(l!O#7d7Q
z|8-_9dUuNi+npQYJ_+f@J7`i>4zW#`nN&!atd5UHFQ8Gjkg49We5A<BAur0-`*g&4
zrl}HbnW_e)oICUBJ9}~sgXX+Z2(4*jMd}>)CQCSWG|$0%SsAW(<IEf+Jponf0-TB-
zSgTDUm8)<IZu5Ga*`40^%j+M*wo+}1?g<>_jHqb6vZhKz1v}o|CpWfj1Bcc@h*_58
z*LUqGEJ}FNsAVc(15LgOP$cKb&5cF|bY_ek=j!Ze!fo-&oghk6{{6XqXKHKWbvBoF
zz6%)Tdv~)Sj%Rn_?sx6Zf_|!aI42v7M#C<frRz+0i<nK%tZXHozuro%W8xx;Q%9PZ
z@dS4p*6^rqGD93!IMz5dQKZf=>C2k*MdZh=_If1^y}C~Q<L@-*+qOsMZSj!}OPD`9
zufBhoo8oCl9}G2#CYxEM$YE&SiU$JRIr@J6@8)$HT<!-#b96;I)8;z>ooXDqXm=-+
z8<77FfkaBhh%!rEQ3j&k=1uxSWxB6<T4Xv6fd0WN(8)R*OXx%qKSThMbx4~AJmnBW
zy~`Jzyq^(v%j{D%H03i58WyORJ1I_835mM}Rtb^Aaua(6q>siw)bFIu*uuMg?^v~-
zbmN&5zTyWi;5%|FUXZ_DgytnrV9mrgZI?KJ))}LQ{lSJlb&9kjCZ6j~NM9RgtqIZ_
zV4K3F!hP$_;JV~t5?{c)&7TGT%B2h%t)hU}6Su;^&~BbhlK01Mfk9h6s|jLLp?$dY
z=+qx9?_>4Lt!ke5jtd)hlWn(7w}GQ{&zbpl-OU$nH#CE~=JuSg-llzma<sfD(PU|R
zz4@&I0DN5)5--GpX{X=1vBl#>)O9!@&IB+kkf2G2tHw`uQP$}qnzSP74P_E}qUZV3
zLyxbc!Bx`ywYmPDDLx1vM!>`ER8l-gC$|G*a7>G1VW6;E^szFQc?WKUC5w5CY~8bI
zlIu^1m=8t2W(@@O85Pb|3P!M&^P10A&DN?xVM+hoYe_leMEsJ_Eq(gy7SGqDVm*={
z$u;oG_1x5OvM18<e08&ovuzC&yIOMQwhH(C>$KJ0Raj9ts_v@XJxF8{n$a4er8fgO
zp{!JQ-J$4g!kqrY)_4m+*9Pw)0<J6K*gv8xc_>Mv+nQNESvZ1yVHg-fU$gwp4ZkET
zI484R$N48+6)|kRVkT%#ch0=;Z(cu;8g7#&SykYE;riOX_N+NTq|Fj#1=<nAoQRtQ
zM~Xt@R`<k~o52yuq@3oJOQCDT$2PTc$RQ9*yY;PPrhx&=<l@NvhbB>wJn<$BOwH+T
zqgRHz`h@S6d_A{JeAwdew*5b8ohe0(vv+^Z?5HWzz9vLd^8Tq{RM{(GkS;<UEoIww
zbhYIc$8l5SkyS~PCahabKBW1D=aKv>`p))9r5}Re2Z_B9%T*DG9pF1koxmne=;p~L
z|M@b^FyRHc6t0D@O-l>;o43}f21vKZxpP~l+@G|g$Ue0hl<e!pe@fq^y=G+**<$~|
zDe|%J2a_|A_<`aGlg+$TgSkq1y%X2;WNg)LI$f3x={L2{^)qvokRXNu9YvxY(yY&t
zmUy{1!?hpbfrnBmxltf0m9)f7)q^v~eQE#<JcU;cgOC%QYhM$3p8#>HhJksSS(~N+
zrKq(R^V87Op^QWO<xkMn8gFixw{DoG)UI#H#GX?l7*-^ackN*vYSJoS%N`-8RYW;_
zrVV~kNYb*5>T%U}x_ivPl~M5eEKgN(FA{Y;Q(qq_^*gRkyI#H_lk{AGbPySEUrRO4
zsq4sP-cC5ja~Fm%?Q0*{sR_7)X+^J~Rwu&QdD5EZXpk-BukXc_&s`p4|EGimS5br;
z<$@v8hs^Fdn^*0Y>fHJWN|HP05&B&fX$lPZXW*W&tT6&{86kYwc<sL86nY#8>0G-8
zWhR;gzLB~EP_+0RlotQgwy7*k)&_zH*ArmvKMqtQrN4mZ_m+yRvUm{+s1D;zKi!@O
z&*8MrKCDEpvcJ>(SKR!&iAd26JBLph3R)g7s97zhd7rJm-9aqxBIp~w9iX+Ov~7_$
zKtw3hTseV>1AoCFhBMYAi0BO1w_gmAOJ&CxRRBAVM9>ko2AnATK-~#x*?RADF$L*;
zf%HD(N3$OlMzTJ4c#lm)@hMuj{~!NjP6w^b>0<6&L8kND`!vF!4e*+fxLV7}>SDeM
z2VkgU)(Jip=PQV`&UOV+|0EFLw8lUf^YjSBsrgv#Kiah$&EV7Sfa=F`?yVepHy>jY
z0K`7cIey|LAXqeNea+7rSL$tVew6a1?Efx2ASn2o{Cm8iRy5B6m5VbvWB3xVExO?Z
zZRrrtju}YT$`e?D`)Z%RHnlY(Z}?U1uR-n%nQFm7Dd7tcD+ZvhaqzoehBQY@|5<o|
zco8B%uw%JdDa`GUJG)%9-wbg`6Vu4Nj=tuzQkM}&_UCQfNDiu+KgBTz-x~_)9jr<q
zPFMbg9CifIzhnz<v5QagCy#OsVv8GWoR#YiI!v<-brfgB*6n>6+&^s25)*I7C&YE0
zgfNnk8D%L_lSO>ll5N=mEx*m_&kA%63&z2qmn3oL1k=F#bo6!~nwKutVt}ColYg%p
z*bMEyigEJ%|B!Fg!h(0?Z)5_=7vtTulJcc?;-%v?3yhUy%!^z_{$EdL;t%EehH)eY
z9dS|_`!W%deH&ZEF_R_RA*U=IjBSWP)?#W<9Z6%~!U=OS$etm^2+deR%F>W+5W~oN
zB%EjJ_xa5~@VqngzR!E#*K>WZJ2SQH!g#CWN3Td&W20!3;wA-}uHU=^H?KK9U_}o-
z!ui7LhoJD|l&)=9Myd~w+p-}eNihFRNBjrm+Y)aauyW^B<aV4$ZX8S&_YOPz$*cIH
zsm(+EM`PB3r@5|Iu9HlP#z#=+ImE8$UHi85A+bu}ZS_0Iqj%$4uGigf^J4GIO!Zz0
zpZxM|jNnv(TC*88`|=ALJKApqyq`IJ8jkSxapv)#VIw$h-9*p%?tTXO0-L(iXJTXr
zwR5Syxs;w~IW~;cl0c!{7KjhpW%rszOV`)wHOv*=ppx%;PvE+%`b(1);c0qN9iyc7
z+je-II4ZDEan00YQ~<G*sNMIxUbCtoEUEHEU8ONzVvl^A!c%p3AMYteaT>s=({=DL
zf7CGE9lwD4#8Fqis_sT)#W8E`xG4~dJ<*LTSmW-iU{(Eo;~<ce$J1?{ax%%4|5*wx
zE6)frDo7%4oZi`np+&cEiDWc^`x9<1b#cgdOX2~GVCtk?8S@jMqlGxeR95)QR^0f9
z4&30EZc#b=pG*g`N7nWoB|TUUPQs;C43+chX=S{D?u?h)X5Laf1QSing0%ANZConE
zMap+F!Z;guKGQ%s#)_lqE0ncz@fsG~<in&L+XDb3DI!6X(nM)<vwb?w+U_T$<CPB=
zz%;k_tFPwgTAv^Mon3dM#y4WG=(W6%q8cXdE|oR4gcWhKA5K771|`>e+xHER13@bI
z+ZTd9ES9rZ$?|3Un+Pc&k`{r1Lx2<VMjI{Bz0a@`uYiP6%K{_R4VY&K2YQwO8C=-9
zV8|3a<dM&>rYaI)hnDVTav%9CS>%leu$GS-DUx%N+Z)J?R*pr;bN&f0ci@;*ezm`_
z883t(ja`S(S&w(u#WtQ%ZnktcI&*F%Y?<>Kg%+6_-qe>8Y~N#$@SetEI!yE<U{itJ
zY|ZmKz~`!?u(%RZcH^=hJ^goQ*DbKYrA-?G#~0Y+=7E4FXTU=PPybv&hZ6{QkaUln
zPLKqdCXz7>HFO*pCcpsZROf3U3DqunrIh?Br9#n7?2gYKzic6{#}47erh7_%-8JYG
zE?$kH5$ARe+DUCZ&3PqI1^m%%sc&-Tu`l&bJ%)3?facoFp7nVuP#v&Fz)_&qofh@6
z3IXXKh4{pHQn<V02}7hwpsL*j-3#;fPK*2glCvZLqYd;nCRq{7-I6;P4?E?$UiB!<
z#IgL#CV+R*%c`qpw%M<dAky<qxvhkG>O$GSy30QO1x`%Gu=`VsSs(0rD)(=HJHzB+
z-y{FCt!M0v0S=r}to2Opb5SO}6#SracP@+$DU2oQ8s3Wq&LRJkG6jf@A*cWcL?h~E
zZ7EPw`z@ncU<5lU09Ei?S~%S=hb26McX5Qnhh7>GAY*~pw=4GsG-aYLxfE^UtC<IL
z;;K%--W*=ayeJ0V6e@AMJuU-$nHh7`v6yFTGz&fv``^JD;DoST$#O)1v4GK_$I~*#
zcw{_O&;T?8l>I)iR}zuJyh!WnsAnu*rbti~F-vYUSgC&xwr0$6(+^VOnhd`BLWgVv
zg{Tblr-FX~X%mP2g<vLq+q#_6LDSQs&+}MHPX`~~0AHK#Sn*8`clv0LZrVRcPS={f
z&s`wuM)??VPOVh)lTOSdVs2p`e%8PJH!)3C$QQB*z<wPj^G$<YA!&alr^B=rM5B~P
zgZ!+7v0O172C~MITbAk;>cs91T>IHhQx9$Fctueqk@B)dn#+53Q$pxTpXE*YVR+s*
zZP7o)vHngSg;a)kRAY>-O=v;*S!9V<ibdSxuV2qUmI~g@@k+5RNb$09<@W*e^Hh-Y
zZ`0;F)A2{iF3koy2$UZ;%5oIXV=)8{1#2dwmv@h?$>pJC)*<^7a8S0wh*cUW%hxE&
zeC!|fr0foh#Hw|m_fGmgeaKRZby~kz-=i2&p)xUEjhj_7=QtBZ*+)G3Te`~Bh<6Yy
z+ZyYpKaeP%g-$?+kt&Iz5B<KluA}Oq_+wWa5j4Lo-=}*|4vr1JZ49iuqyzc>nl(jv
zA~JW@4Nq)kc&lt|mdfkULsw}hnk#zm=GdtsF!zhpy9M*cSCf_nt*6Y9OA<a|cc)m-
zC%CXD*2CvAdaafJ^{y1ihH*fv5$ajjl`5*q%WgYxv!y@L;M`c=%UGyf6X#G^^4@<^
zAfDiW&rv-|3TKnAQGC||{167UcMt_5e?LP95{IBH6&*SpcM}%?2B6s=rfk1hGVt+;
ztbb}e3p@SP)k2&5JG&&=_brRdV1jU_g~GT4ut}+NtTn&NKhkX)9+D|Nps%Qr`c9wu
z(r|mUW8>GDl?G>6v*Yd?sqFwyL<~Fm5*SL4k=YwaGMd|xWJZs)V3-&I_Vm8{QntG^
zGuvDaaUR^VuyYP6V2bNAJGa<W<{?n>Uri^9iU>nh14pf}J?evZFF@Y9NrmRkgMDS=
z`;T!;+5whj6JKt!`%5;2UVMZtXSGuG(y86BCLQgEwgx$bG8V>0!9_e0k6tWZZB2B2
z)?i{7D0n=}vzNy{B8}DpF;r~bS^+lPWFP2j;39~MB1n8v(X0zd<cl90%%d*A$1jtb
zG`ao_7|V+#&$L_JsMU5@dHoSc%@tqctKqx>i!_+0=!EiT$a+@z<sR3tLGy!ESk5*r
z2%$)Lz>xYysZ`>j8xoLq7Hm<M6q3iR_~<pWbAgj$N~LQb)piUGiWpAlnDJX?qZtbi
z*}P_m(p{{I9Yo4}eI<OT@>@xe+ARRC^_E@J(2q)RmJcFn5_o~-r;L|!bTs76tn4Fd
zgXe_*J<6w$b0|hEhFbF2ZZPbWN4@rCVRnaNfa`HpeFjEIt9#?(=Ve@jW+F~z6R$AR
z*X&A%Pb4-9@c}baYEE&oLx1vnt4@-z1En0+akbsGZXeKt+u9GX-I`fqx@X#<fzfKu
z!^R3F3{+o$duRq}Dz850$Goz2$DOEUuA^*WK@WB9c%s?A2I1~(js6v~PK9yRSmI^4
zzpwF&kZoh>j>YPxM)y>yC{Sac6XEzZ;q=R?qg=H|k=v8lj0^RSm;W>|A^EzMf5?Vx
zn!;~zZ{`zB%l~MgW}mtQAS(dmvSCQT$OPwrG}~Y`Zpr^1`=d_Zv;dOw!RT-%=#Bng
z!J&?DY|-}7qn0N<r3ZL8Hg1#*|8-oyy*dA9A5#he^?o|prHdEq@>jf9P#7cp#7#}P
zA4sIB2bYZPMyN(G!4Z*gVFVJHpKm#KHM7Z?2~Syf{@DmsBOtwdaqh}LF8~EPDbuo_
zi+jw=+5#uUfl)bx4|`r9__dbGt;K@Bm&qZ!|GT(sO%9+73<+d{zWA&_YHyT$;Yc)n
pl4#UGwcUIUw_~l)rYgI3$i9>G_`5l8t`!^jAkA&es!ToZ{09dS@Sy+z

literal 0
HcmV?d00001

diff --git a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-2.png b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-2.png
new file mode 100644
index 0000000000000000000000000000000000000000..a8149c10499990bb3f453270a509f789d872837c
GIT binary patch
literal 33099
zcmce;bzD{3_6G`xlt@Z<cWk;rx=T`!?uJbY64KpWDk)upbax3zBb^G;CE=T#bI&>V
zci+A5&v)E@_Bw0NIoDWojycA6jPad@t18PpMIl6ifq{7{Co8EA1M^4<1_ss+2@c$e
znh)j%U$9Vh8F843G2%UNjbW}MXQ8A7!w7yrf_Vgs1@q{k3HSp8%K`Jy>lygV5o!$s
z|Hpk87-{eg!@<tMDFERRVCN!-a0@^<1-Q6iV4lQ1`n$)MIQYM>H{&q=xJCpWui`NO
zx`u^`!}|LgDIxBUYj_?$E|`S)f4ffj=lUJ&KhnK}`%9unQtux9bq#Cxzoh$b60@-L
z39z%n!2IWTxZ^}K3=Dj$wT6zXj*_B)siQrsv6-WZIjg6=)58N`gggbnrM<bUF}bI`
zodZ<BQ<(CP76Rb<;Wis3`5#SOZG|aylvK$j99_)Gd05$5*(pU($jQltT+A#4)Fq|=
z)gAnwFr}5NtCIj5n}>%7s|P2mql+aQgrA?Ejh%yygM$UMV1ar$xEg!1I6$fX9OSQY
zB+a3wF4j)2){YM3591n}IJ&tCQ&K)W=<omjC8xd9-w$$t{_Cy4`>}Z%JF!7n+1dVE
zCv#8hf5iJgy&it~pWU3S99<ouR*wJUiGTn6KL;=~{aaQiHy67<ro_yY&D_r1-rT_z
z3i?6*tGuq(7XL%uhhP4D+#jp(=i~^1r4&$dG_$twk~DTT7kN+>76=CmJD0{^$}Pn9
zA8r1b+CO?rxR`^U|KGj;t<AsnewaZ46$=ZfxvPe?y}8Jrx+ui<pZEWF7fEYNYgg;n
z=4St^?>`OxbC4HqCQx(Jhv)v&25i88J^jD^`oBj|aRG8T7~6^bw*mhC@jv_j^X7jy
z`5!az_wWBX#6M#G*GK>RLjSFD0uM{|=Yp91xAp!@hX3B--y|?I6@a>#*qEET{@Zha
zTK%!V#f>f5{_VC9+kb5>^q`ai;Prq`8$aw}5r`1m|Lfkro+-rku)+Ur!~Ze<pLc;d
z5kUc(`j=@EL2-v;;)j6|gOQVbuHgy0pZ$35+4N#)vI7PVJOl}|p!s>Hq-tje9MPl4
zYSlQZ%&0vMYR?p(5vgf(i1mm`3FK32s1vpm#s0ny`S#{A`&;(X-9hiU%f(3e&XVOt
zx@FFb=HI8|qRo3$aFpbKeK2(49#b+k!sEeWV*K@)lM}nh`uXUe8(}=K^U#T(qH=71
zbt8wX*>Ob=^GEvEN30HcAScrOx7_Q0dc_GBd5ghI{`L8wBzB=+ccU^H`FAh>eg1Ec
z{!JEpFzSbIehCKu^fDXYBmG-2i~uX_IAOel`^2+<da24HbtxJRCeR$V|Gv+cODt5%
ztan=L;<laHpR1-CfeSUPhkJ~Y#H8);`|h$*yV4+&$6mngd);B%O^BhL96cOm97O<`
z?-i`uuW4;VrCgCWdy@sA%}`ax(uhHe=dpY;BgyOC_vJ4?30%yX5^-6@WfF_eegF3R
zdM6hnf+k+%_Ncp`%<pzeMO66yY6D$xpWT;Jvs9}WqmvjjOA*Nk<M;Wj;S*futNWWn
z(cibH5Ys-_-7jki3atFUcJnwHw7jIm;Kdb;z80&+3Y`qpm=CKK9V~n*)oWmNbe^Mm
zkHa_e)_&<TrcAer=pC1FS5U)>Z?ntRP^<T)$U)sy7c(?wfYzJUm1MMe<0<bFyW?_8
z+nbvl@1Knvt3n49Bh8k%Z`|jqjHgSr+c#naJ@?M)1aMg4C|BuV4Hkc09=4kgr}*Ce
zaywX<9xs9BSMaX*oB~nVw94j$FPEqcUsYwZTB=mtn%eq(|5)VdVYgV%@~CVl*RL(A
zQAf<dFZAd!o_<F&t!ZUkX!{~}u@ELkfDw|=<q|ZSh_^4QJCWLSEKdYxzb719g>NlL
zI-2k)naEP!ON}yYxRY`I_nR*=G9BB}*F^IIeM;1)=a3Y$1<tdeWBkWG*pAHyJbHC+
z!E#Sf`A_Xm$dHlnyO`BljDDbd15cA9<aM%Fl)GG{lFL-_ney$rW#B-~PS<24J~a2u
z1;K^>^~qK@<%^$#$6$es#v#UPw6A`;wY|&|hWBJ@ySrFS57y6<j^4M{+|}dozObXE
zTyYs@X~7RQm}7pXdZAA*kZjx*O8OefTe(kv^)5ip<7zF`(D!-^&%o1owM!NTyr~8<
zyJd{A){>M`CXW(#<)o!7%sz`=eg2d0vz58VYC}1UVDo&$f{F@1Ax~>OALU(n7r4as
zil$K6KR~<BDovwk3-e?53p7lmv<^%e;?8_l+*b(9G8J0CkGj!0zi>G$eb#@Bq0{_{
zl#=~StGCR8gu^T>ivNl1D(tWIpUsDbhH$Bpa9|(iOZu0~>5MX(veH=nq;1=;8J?Tk
z+)6ccZ_r6jVFN;3Q=ag^ath65Y?hQ(oYZH~C$-rx)*pp=olk2|v6=SAJdKr2kc5{c
zH-zI0t!OzJ@=4qhe+$FS_^KnsuMvh{!#+tE&&i|8n*C<vF{LC>QIFp%JF9`{q<l`R
zGv#`x2|-f~2HppsS}I;1LwCjsWN*yoigJAy)_!qpqk*jvtECozs8f7CXBzvMH3S~)
zYbRNMYrWxAHcPq0?z5k?iPE1u-G9tP3x`S+jI+$w@R5774vcNZ?7$=OJVld4T3*(H
z3;C4^HV`mp;Rgw3k6~`sUU__TL)-GXzuuWY8l;Z-2}`|`?Xi4yys<|WTCT<Mpp3{q
zN1cdSFqlcGlf~{QuJGTCW7XztfwgI&%_{Rj!`>`JcbZxS8&9iP6?TW1X+$OpKY)bC
z@7{;nf`_SSU878=S|*khpG&f)0AnMTF4xE9cKQmp2AiXhqE=@=wcc?>#PetsC{(P;
zaUW;r+fuO4q5Ux=m_{A`us>$XIrnr4O>7S5Yw1dr4uY=;3JvF|6GcvH)u(BI{ox5<
zYrn;sj(5Kp;grvNiMof>)cvc(A06Io{2GRToRL;3qesiq%i!Yj?L^?!_p0vK=ijHn
z?!R32MnC-4dbu3=xQ_xw$Cnv1teuc;JDPX->T<<T^lCNmLV>unw+21SCu;Fz&55PL
zgdK-fA7Ah=QAGq2{;}HYbUTYkA_EA^Irr+@VuPa!*}UHSDx@$mE9A6RIB`mY7+Vb<
z`*(uklX#7k2;IiN;H6+nw-z1SpO#!?aNBZt%ozys-tA80Ifu6%_Yw6}>Qui?mM_<9
zpdD!(o-Wa(iaRRN9LVB_(g#I3ww~j{T6`0}-b~zwlY+ZncAZk9rMWrK{HSg|Q>L4*
z+vq|Qzw+jiWDQtj<J~Xs_1ASYDIu)ko6qbMhkv)9p}pDkYb{X&3i=c-i!x$EG&-un
zEMEGP=~9)kL^u}BJ_N;EN$j2<HKao%O%Pb%r)9rhF&TWa!NGL<{*^(uhI%SuIEf)p
zVl2)4B51JkC4+MdiN})jMX&|FrBVhL1lj6*y*D!5G!$XUwz4&>OuI6tu_pqB6*4o}
z6!G$t4W>0br}mqB@6`arNf{CClJCH|O_FzXyPR&1rny>go>MBs*nR~=WXf?HRB5Io
z1E;7E)>||HoDpz9V?{$JrQ5*C&>$=GSwul#hQyy1UK;q_okOk@3_sENf^m;dk0J4P
z-$UM8ba`&`;UbjA`0HvozJf!_5n4XDDl=%!SW~tW@vim_xtuda|1~g9sF@0u%N-+5
zdNjs2N|niM{PDbQ6eGfC{I@A=ubN!9N79LdIy#sHooaeM8Fjub^Ig@4SGF~_ItN?G
znB);dJoN6@`J4fAC2i2aV0a+H)0%oGQ*787y{h831fKiXUL%nHI_s%I*S*R8xh^w7
zTg$k5`$gq+j^F_0TWEL4Q`2wW{$a%#BJy(rQW3zni=o0=f5j*N^_>Z}646!D7Ypvp
zHKEkNu!hWH`h(OH+KO~S-7gWTXbO?B^Ld-$bUEY+Yufte$dxZYygc1eL>1wo?M}aj
zDhAdfXoeeqdt_b4jXg4%Cvd?;IZ0ShAUz|e6O4$3R38gxUBieIK##RL9huqzLz61~
zsT;jTaKCF)R%fT-myK}0hDDu<q8Wah%Oz)Q^t@>>3XVxfwQM}4Vn_#nzYkJbMUZxO
zSad1+C22vmEwVkYZko9`j!v8w>M?Ud$7**s-j!Y2my3ApRe377MhTeKo+EKSlJCfF
z7VfrR**#?H@97_AyS4`BZT?}I!+AWXvOEnOEOs2QYl!<VTboR^Nqv2$Zuv#&OVR$p
zMMp6J_Z-fZnEl(WKyd5-=T>4AqKs-Jz_GrkuJSsyP(I9tm?9v4V$uH`H$|sirgID&
ze1%>^jD%Z*!?z)aoBc+^I;)8U8if=VJ@;|pOJEY$+irdi&r=|hxT*qlgvP%ar&_Nl
z9{zyuR^Z=G7YmSe9p2Z^7S$r|b9E7nwTb-Nh!y3-@#qRdHhgnF4Q!NQyYCx2j;Pv4
zXnZgdPod>L*C*yfNepTqB-grvl}>r>7kboMO0_F#4*|Ms^E@^gv(FUvzBt>Pg1}~S
zSx*9!?S8P}w)=(R=yblz3r~)b3~5&kj*MKelG3AzN{CSNBJ1>K>Mm*ClIim}{VrB*
zVXRY2>#y&nz#7fq8TvSH#><ep&lv;xZ5HYnel{rLLoa?NF}!HIJsBSVedqf9>s}AG
ziV!eb)kuFpHF8b3MpLnTdD^%$-4zmwuf;VxaE;TyOSx?Ag2^df>wDmyO#r9&>ugG;
z{bIqkDBFEOjxPIafkG<WW1)1uVfuq+06n)e9b-s^f0fma2^_YZIxToDi830%-&4h%
zBS_Z07Km)7sspm?$F;{ZSK++v*-`iw|1%HZK5u~IfWK_t{SY|@z?pi1{B@TdF9Lav
z-~Dw_&g&8Y3&D2&vD8>AdR~&EPaD^ZAo;ABo2i*<^Uv{;WEWAMzdfz~8Fqn*y@BwQ
zkPE=Y9~I3%qd3QoFy~k`qlx)XVg!F0`7W0?ESDr>H@};}Yd|(DfL-IE{yj8Y^HVGj
zjhHXatJ`>{I0v=)%44{g7Wh~`IFFS#9+9{#3k{B<_6v0|(fpeqE^__u(;s64Z{-bu
z(+0I>&_lowl<hxJ97^WvIlx_V3w^#Uhk1SnA3k!~ls7F?mLhtyU;F#lk4k{pT5P6E
z+NOqT#oeWhM}QVKsR$iQ=7hUGhvy)VGe>)mDjP&;>+UL3#|6fD|M{FI2+2&@pG7K0
z_+k!tMQ;!Qyyw`qB1|E+HJYD_DX2_u(4hGvVwr`XsWgn0E?0doZpF<guu`G6m3#Ut
zMOMqV&PR0cWkTyL<yRTHEGO}3LT-Su+So7q_;<3p(HO>sP8HLFlkC)}<4Dln(<i9V
zLvdaE0lXaV%c7VqMjd#@s4-xralM1J91-y>APf^<$dkR$azGPZF%+Fl1iGyl5=hmj
zy$%fJCRV_rLvu9m_>rxKJJyw7bOdI(iYok-o0-nJ0$Xbjt|4)Ml7c9gjD0Y&*=i!i
z+Q<#P1Z<X>VT~DbA91N}HZ_{i=;mM|!L#j=@D7@I7)lHYF+y&(^9X74a2%!?)3B}c
z<UF|1RcQm{F5+=azKO|VR20Xh&k%(^J$|c%+VGPmObH@Khs(O&X0Rh3CLZAM>*Bl^
zMiBQbY?+x$JN%3l`4#5Dj3)jW%x7&)^o0Gh9|n40Et)+JcX^&C^kat=lhzZuOlxX8
z4-K+3EOo&$P8Q?hVzUz_M~CWc?@8vFRIIIZl|(YoVHpzqTs7)OVj1Km<YwL|KYJZZ
zD$MsxsI4|ppCeqmLSHvuHvTGV&=lX%Vs>iN8cpQNh}M}-W#jfcz(*&`-iQ1uxk5CD
za`;eeI%Tt&Bn=fIrZh1G5!JUi9+*3->1NE;n*-Nr%*44J6)ResAS$V{U*!2wdI}Tl
zH1@IkEPoR-K?oucEZCplS>$%Tl?rW}0Z1raNPD0%$7P5iiyG5~f{L0nq5!<%NR&nU
z)YXmqe2w`C{7DnPonCebsk<7ZuTpwhj<kZ&$a{zpO*G*OTZ*()FHjRkk>@<U4><Go
z9p%>#zqxGieR7t_K%hXe?+cV4-z!1CM%^Wf(5t)>?a>w8yaa`p2~Xx4Qr@O@mf@S9
zjXTQ1=NjI>xO(bqIMW7nvu3m(pHRZk=-98cwOWj3+`id;AKKAoH9_h9TADH3jPflG
zziA(;qS(Xhd2k?33o4EiNsX{z=3+W_e*O4DNvJfPU46FV)i8{$&k$0tk@3-^sJISe
zT(@6mdrPge`q0r~wsus_F}+#^L6e>^G!g-`4>tP+G{_s{NAFXp;f|V_0DMS*A7uMv
zzvw=a1{s{%WrY7yjM}mt33o^E?N}=&*J8HFXAwUKULlortAPyVH}Nm}%EYh)!>(h!
z*4J*Np1YVLLV;c`Q`mgkzIW%^CZ48(cV|=K6b0X=+z&p@nmj(S(g*O&7w*;xhe<1+
zxanvm;r=FYDw*yMZ2zTNOO>4Fq;4YiagEpU0YW9)XU7VxjX@qJ9PCWRAZShM?v(G7
z=+=;zm(HIx^dp(2N;WxP@!HA0V4OsILDF4jZ8@GDrTR8`dKuWo>W1?3WEg4E?71Qp
zGH>c`6u$0-I%|p9(>CQx$W9VWLnox4SVI1`*)xg3r}OROxiH`XeJc%GJt@|3R$jJ*
z7X^*>c#Y>_$WyU-(3&SC5bc2&`#rIPLQMCE%|_^sat2p;W++jJUJM?xB;^xy>jdW=
zj6&i%>YoBR^TeA{sKMw296|8=o`c_H`Qts^wk=)u3Q{TSMbfcX>(`W55q6hb1!d0K
zPR9hb(ydB>mv8`4Y_-WgZ1Y>nobq~hluLlT`=W_XM|c?2T<IYqj}TDFEr2&&`cALu
zuphK=KEza+56$GZwIH)wdm4lvvA$f0v24eHap!e&&;S+1?!Hr01pc9si5^y)i~}F`
zbMBxlpF!tI-s-F*zeFgSIaeG7oiBF^(XyGxy*A-A1rtKv0pYZ91rp6hcn8UFBBeOT
zDbdPDwQf_R6C0evT+VfxmYx>+n2;U^iPX;Qq&dqd0}uu|-kLAsn~-|0!kX4q=fqqK
zXqi?IvRkxYtv}Jg4+dY6b8ltH-f+cAGd+bB63F-3h~}jy%X{i)kj$uw#J;Lo{*v2H
z$#igSlMVtQ){)zE?kDM&+oYz&yP#ASaWNL*bP8ebBj);qUwyzWfNq&E>%}r3kEPWo
zYMC+h$yU4B?<dG$?7*IOJz<->gSM2_USsgWj1w`J$dGz%)(o@esiad#I&$bostpuM
zW_=7!9~+h4IY~~1Z}yA9&w<=>k2wuxaogfrPM`LOW65`j_8WFxz4yvq#og)*IbSJO
zqxvbwxP|4_es`f~Qk>x(t{2vmmZ_m6kL85yL4reYm^UcplO}r0>iVd8`gt0Mbm=OE
z#1jaVyl@kwiXb`eQE$6~x?I+EFu54pA5WgXJqB@sbAxI6`?e@7p1jQ^Z$<priHbha
zP~~lsv|OFv_jfFiku!v6+=QfeifVK36obTGeqYxN{f?2TP34QWy<?3$GCbLfXQ-$K
zK}pGdv=v3f8<Uw!M*eoKj~3VuZmrg_N4Fz+KNMY-6}8m`%(mFmnJ63ekP@IbQp2K_
zTs9P&G3$tr0|ZvR>UVOyO<EsN68=}uVJ~xLy?SOD=^A{*ySEJPQ%bz?2<=EE5e7Rl
z3f>Ay^qq#c_9H39nx!)!q8QXBEf$JWlQ<Uh{Nlbh8GIE(BKRTJvn?Uvl>YjtMqDVg
z`F*eFyOaB&8_IDz0|E$vT;C1lo|h#H2+!2hOEyYX6;<Iq_19!KAbsQbiNkH!Z0MX0
z_)Sq@ieq?rCXaAl#I`ect|6?lkqYL>wQyE7X0+m%t&vi}J~H?${JDn{IWfirxz-xP
z?{dMG4cp=;J7EuB$+4f4Xkw~DZv@Up8;3O#(W`E4ktK~=nmjrEcVe)#?7b?vzj*CG
z->-6^q>8DfgfzpA_DQqzxvIJ9+$z7U{e6G4i1W;NSr1L<NQ`*IYzMa&I-&r_dD<6C
zHtq;Ni^oHj>NyCJpgdkkE`4)zA-wAU$g?OqmnrH_`=dI|KIg^R`ZGSPjl{gBp=2hI
zzOYwwe&u&ENT(lh-NU5gE8=<Mnb~DM%0ys8OfhKg%MF=7*MwK6@sHua#!(-|mwlb5
zCIMN_kiOA<^qh6M@5+`mzyg<q2OF||-Jh5S;eaN~WXlo1!1E=1mL9$t%(h)}K0S#k
zB&e3ncUqR-?!8})IOr*p@AG{tFk$^JnVG!rzI&zz&!(pqMS~m_p3jirHxn9*P+69A
zZ*7mmNU!XGIJ~~=ZI_p22VeI|_ot4)pd!4Or?)ov>Ol;hiW5|VdAUMxau>kh9OXwb
zeDT@p>@$NQ?rzaoa_WA{>}qs?FHIWD%Yilc1tFGIs4Xew$UM-+GtD{lbi3mnQ9uw*
zFe8@!_9&x<x|9a~GrYs-B{v=Mr8qS0U;Rw<V}!hH==9Y;D%*1=RH9fAxYG9rhL7Hd
zlG<FQHDGoje_|4aWqnV#VO%5kG`?8hV&-=#Lj&iO{|)h$wTtugWT}>W-uDe0X5=f~
z>OQhuvP#XU)|a}^Fal7K-(@=undyY(&i|e&{wcu7$?(*BfY5P^Arh-vzSgjY(o1QR
zKce|<5yxtn%tjg}JuN$dBQaaq)$a+97WoW(CP540doNCDe@fF4xa=^_ae1*0LPzer
zhMprGDMyZjN3kTzm<UL5Pi_4Jqma_%&OEo%db`A69wBPj4;l0MKNmL0KG-6vK7fpM
zr*FC$D7fdl2IB}1^l(dm#82hbacXy7Ok*D>+ULivrySM(3CS^_%{pSsL3c2Ph6ix&
zOJUO{FqSc+Ql~EtMpVOXzCN3fVL*&bBpQ!Ew}cTz8TaP0;OmXd(m)-}`}o=Z^YN8a
z;wp;;3a#-}O3+66F-k-#>~>##wjl1Sp<*~K5>^3}=MpDWCfhLWa0b?j)sThhU3Dn(
ztI!Kh<9ipP#BWQjQETdayqp53AXYK?0C(7AWr`5>dChr09&=j$wSk)z+!QjtW3+Zv
zQh3ASt(fO*ms<a8Bo|##iBfku*piv2d+^V!iECWaMvM!5X*m<1qU_t-maW#a=GGc`
z+vCP7tHB%&jQ3cyv`+`CLca*oQi*D0{nnzmP|(Uxr;DLvS5{k359mBh$G<;ml14?q
zbxbrX5|b7$Z-M{vq9;#2ZA9{QB5mPsW^XhW(~}Q}s$%q17GDyByBMzLEpxXRrKt@+
zW}}~G)!WU#9hD(W!rLZqLbXk<RAl0jI!=9E?o<+>cvARMn{aQUeWXf`%JhVp{s-6D
zC#JHhZ_ca7@HIatH$VLHNp8#(LejNQTyj6tEeV=lv*Ie!rEV!1(BNj=M)UZ5zGj|~
zOKMn7W+d*-YViD6x$6nt_sAA)edos{0aCr%T=*OB75UaGzvV<uR9r7Ww^N7j!YO2{
z=_O9J6s5{M*@qIFq9_I!q{E(5TaVl};y+ek)pCqO2t@B>-%dk~=IL|J>0^23y8&Wa
z;FUuMCwG}EYw-sg=}d3g3}!RkudOuldtsDTa^5*;Jz{U_`M{{9aqKRI>K9HOvVs$D
zJ-owCbsFtCw1B<wL2UTwwT;vV$uBQvw3)<mb;r;Vded%y+&&NU?Gfmaln8vMbVQqB
zq89(v!9YR@HL(Dnt%^~Kz1fbQ>W6v>ES(oY6&1nZkk*<`bqiF_kQ4Qb`cTo}g-e>D
zEKAR6CwUu)C-=2EQ8}Fv69uNl<EW>ZwSFm{ybSgvVHZCs?ISvHdqt2E8)P-O`~4Sc
zX0A~4Z$fVA=M<z1SZ}Nb2OYBv>#m1RNSK!4PbMoMgX`@dnoJFHjtAez9do~o5ze8t
z((qpPd>mPKg;vhB>qH7WqrC$g%A3!{C`<C7XkKL3DU%7r(Ka&`*II6bIP=^#zsC9N
zxfu=Hd<>+CB9IM9tS95xZgtu3JsUU6F>618{8kHp0bMP&UckHtvbG)n;P6|e1d5XC
zdQ2>Z$Y_MgL>`gU>Kz?9qxPOE?kDq}x|T3uL@=;Xm0xpc532SXgLX$oI~bq(Orti^
zDq@Goq6KyMjqg?!K)T5_Wz9OY26Urs+ycJk)KY$XTBV}eBJJiWA)hyiho;M~xb3jh
zq@F>;PnbM73S!7zABDU^ez%NcNuHIi%dsG>9GYXYtW$lOrwkjF(!vOwF^wHU>1q7^
z9C|9e*p~8Sr(yhGhesIXa7aiw5UA*>X{j!79W-!dYXS*v`#%r4@EFJ_atOs(G!nE4
zn~GQK`zxUCOjo?hd`#Bz>4=f|Md9@jqv@n7$CGG+Y_m@Rx=L7vRC{tGl-yX*(xVck
zs8;Fa`*h+#O%$`V#U#h%Zg<=3oFn5Jvr$9+_i_teCgh5ib{@Z;?Z_k~-5ajsge9+@
z;bGZ?dkFcRQBy@JbCt|nQnv-|hpnxdZA*C161#rnD&Z<gBpR{Oke=)Ms20ztl~-sv
zp5r<x$DBXJ%XXugz_DV+pXsm1xKdx+^md1gmP%oqeYonoA}*bmSEiXrM7nS{ml+4)
zZ{kC;&p2Lf9CU;pBvO#uV*vU%^?IL;K_6!(v!7;t9zub+U|x;yF2my?G@mAdP5HgK
zl}q&mM@>-0`GrvzAwhW|F)H`PsRTZ!dA|Xbp#Q4AB>u)uw{+*{e5aWJ4s9&!bS|SI
zmHSlYL2T;A47p|M-a=<&iRf&SId{w(L0a#qI7K_l_`F0zD@A_NH&W<Tl6W7>PRe<W
zm}vVS?LRrlZzms&)QYJcD!oQ?EC~Ww+Q3?4RS>{0U4vEvBcGPd5yFTdX{8<h2B$Ug
zKK1O?kS7dsht$q!h2dVPJ5v64r?P|n4%5fnm1kNl6Cyt5VI*uM+YidvDDBR97$nkF
zZ1T#<;DT6tbVR&fzRxjqJc>UuEwDwJu5L#sAtc-a_oM2Q5W*1IE<&#cqi>M)YR1R8
zJlMI&rsKNY>Q4mQ)3${`VRJ5i4oXW9UuKoZzio5UuB@}ADNgHk%E)=(sc7&Or5T@N
zCp%q5i~m^M<P@S*uAD7^YNR`Oi>@ljQ57#A^^~v@a+k^?#C;NIl0O|T1aiodw&IzI
z%#DeC*Gf2*Y6JmpHEo)N$%}&&mZ5{<o_@4RLRf@uJ28bHeRWX$^Ty>^eJS$mE^u8E
zXl5t(^%K`uy9-U0%+loZ%_})-p@o4yziEus4jxh?yH(c?2pjv}<!kEo9@x^EnpdE5
zW?au@N+;T<2PryAcTVPR*CJ%{-wKUWOkD4-6AyVoP;BmP$rDMTq!{g4dmUee$o3-5
zxn37ehnu6t>fo~l?s0Xu7Kq~&-B33O$+ZsT;P!2UX_98?1~rFzW=5Fu!c`K!4W+S1
zcP}?A1iu<vml?5IO7ux98Cb<s7Gw&*vHJ23Hb<kd!G#(BcJHw=7AJ{i!7-~?D2Kz?
zUEh865~tVb(2=sgRdQB|v^mqN755hvYm)oId^OIAVtivXenG{Q?<8I9kNY?CGnf+3
z;=dH{%|Tm~UXFkDfsMzC9R_8cG{+%g#g5i7bgGq*Q=Y*gwuH4@Dq%gVjM|3NQ7alF
zMxxBxQ`LTj{%-$DeG|$IuZ|7R?v$?Jz7t5|V?_VtSrm5Co<f*2k?>Ih+Zh@r|M!E-
z^{BNR`orvy9b%(^_()8>$)2xaGI8F4udhEI?UV7l<ZH$tV~jtSpdC4?@QO+|#W7Le
zzDXv?OM8wiS|?!K5^lEm#+~UCT}PPN*To15!EMJA@sp+@9y@#=WF_HYj3~JdJ8|}m
z!N@tqeNj7icUe&KEAvtHd8lRg7k?oc@gwic6Aq0>d6JN0Vk&E4$>E0eDN~hQY5|%3
zEk(2qVuAtww*mBs%VnQhy069i%2|%mOwU1GDo6j?#eJCsS2Gm$MNN0lPud&p_aWMO
zg{I?;Ph<;d=sN7s>-iul#Ia_~jb|;)QC}ctgVz@O<2|HI8bkS9Ja0`<NPc4TWGsNh
zCBbEnW=E1BZAGs_u<lI09Cj4{SnCxiz*aA=PZ{+=UPerXH67&|Gngnkk*ff^aa6!s
z|K4&nd9;At)&#|D2M+fR;t<9iLeYg}stC7Z811zw)S8UdfZHbhqqG?o_4$5ROPO%<
zpj9xzNj=v`$oYs%BK6y9$w+hrVVUIB<qc&c3}S^+P_&A&qFWjgm9vJVR;{Jo510_*
zBD?`0Z|PN31;^+xF#<-Sj-eE}6C5%(BdvJJ+pW*iN;uj)1?ZL1TO!Kmfg~Nn4c+>D
zF0zO0&J{EpxZ@3j%z+(Wsw;!ob+a}<S$L;0TbO6fSN81p+4-7A^~b|R2J{O-<|5Nn
zErj9ejH{%l%`81US&!GSB;xWn{h!|V?ThwzJ;6$IksWa=nRj7plg6z}I9Z`o$TTPL
z+}r1_K~I6e%RPeaVUM(r7Rq=1yntY=n8I~$k-!`MJ;8EK6%YD>B(a!J5)J$5Vhl3_
za`<@^6C4#zeT(G=e6J&-j-t(ot8|AmUbRTbG-II?fPx{O6$v3pY5SX9xJ5xA;qijd
zT;0Xxy1X>WI%`TxkrmO?T23wxL6DB4PI&96P`+4=WII{9;PS!yGe<8DHYY^0e@r1G
zjs9-c5?d5}*KI^R4#Np&6&s5#5$e@eR{1q3)|0O%P3C2nf);gNmSSSpyJ{1~4!Pwt
zW{9El>otmQmi`Q!A6TYduDUIyBh;&nV=(kG@#=yve#)kQX*Qivj7y7`zxiU|6TL)%
zI;KvZSF9*kXdo1y!cN=4b9r@pg2h1V+*O%gHAL+wZp;y$Uz?WE7ss^CcEhMARlq|1
zCMY>pYD|oOn=m^vHYJzm6Z;(|Hrcc^`Z|)?8L<p`1InAuDB-3uQ0cw0BIs1fv)%Ow
zl`z#Js^x>Z4tYu>Fk4*4wFAG#jF4b3MZB!R7t6m(Bb_HOlBr+ic_;mAf2#NaTBHzL
zca<(D+m#IG-x_h-2wV``TZ{??a&PCC1@$OVw`Wzh-)Dp`%1v&b6x5M*iw#pdRzSvs
zG-<tF?JSk)a`r79Z}lYYXU7%upu~P;J*`Z)8X2)gH%6W;PWO<f<pm8nQ-xmA@ICl5
zLi@`KGpeYftrwp?2)UKKV?16j52p_WYNl%YIVBHr@$Gz{DbLi-AdVg1gk;Gr>v!iM
zmnxq8>f^@}U$FKpfgIpS(L@bLciLKiRs6-2n8}#fl0HD(+w#YoAiy5V^K^N>@+DLn
z<Bg2xA3ddDpGd>$7kZsiOH&qp+NOit)q+6)MZTt2f8Y->!?lp^l&VcM<bx9NI|jgb
zGNOws^c#ED*>?vbbo1~fkgfp9T?O0#PDtF|k>ad5HVRMMWZMh(nd3FZCC2p4=v3-v
zQx4-~IfIpAX>nP>X!<tT#jQ*FkslB}X#mnfdH;}cPmbuD{+}`;{$ClXyvM$F8pG`C
z50T=Q`I|OzMQ+bobTzY(p4jUIVVRxak5M}YVKh?O(3Wuw{)jkIMhOp!y9kj~GhNua
z<YJD_AYE2;C;{OKoxLlR|BpE)Zef~7+HkwJ=Hg#rmbSp#=PxZB5Y}KG3`8*#XHIN+
z{)xBvHRm5PFAyP99B_Roh8&#SVBmhxps;*s@NtOX{OnI@pZ;HIN3WsRDHZSr*sB;S
zJ4LU&SQOKSL$S)bnBSXW!(t+(z&J|U4RtH0cSc}_FBGUrEGpIPh%a(qBh9pULF+fh
z>Ec-r>xq(#Xs{mGS#d%BTsByIfPuh34Xij;4nWCAXHqr^PWV6U8@|!vy>hWR3cxB$
zpqtVJ^&?`sj_b3A<=3TLHYbbz_I>ZEqcgJ9Rkcs6cR-OUh-zUil!s4Ijzb=;WOQEb
zkiasl6Ekc7h}U8SfA8Iu$U}+b5sgkSooW=)m5R}7M*vzfb-xQcU7xXu_1BSRES8D3
zH{M(bnf7vdeW!I?j76y~Glo8Jz3|FnKPcYr!_~1f3SuKm#}E&u7bViEY^TL54h^=o
zjHH{Y`d<#9MmLV!3?SCWV@!@wL~zFZHKWbqilE}MZ}k<I<>fmy5<+N&tBklYSR#!b
zw`*jgWaIpJ{uka|tdg6gjP7fXkVAv;b6}M9KatfDB0cpk$Rd8dU|j^NRi;_EHnEqY
z#0etu%SW<E){f%OxC>wTl68qEF>W4VNTj+PIhUMxXZQlr4M@)YJX-5EMXNZkP(N(y
zZccdmv~u|JZDTxt?y(jdqgJ{x6^8f$r|Yijh1T>tpE(DdK|uM#kb(n589c(|cC}{)
z9D>y3zq2G%bEuz$>lJ{K_>bAjol3fB#nLaW7YmWK((GISkiP;|(Yhfgx)-v)=)FuS
zDe_y9)qEb+4<AbCgsBG;lbRTNOZ4&giy=Z?@Ht;Kx)g}A3j86^C<}P~kIQq)lSJuT
zxzH}g;i({{8zDden(^7xb7-U)-YfNbP?A*|*d-UC!;b;&E)!mI0;@G!xld{yiLYyc
z5-|K&6`)ce4t8l>0$AS;Dj(RLPiRVo0k6uj`KK*A^_!%YQLrG(L4R&b3TDZV;%MmA
zs;v}yWBlDyym;9j-_~9YBE-*b6}>hUlyfvo@f$-fWmdsvJUE?HU@O<HMOX**>`k^O
zR1R&|+sudl7`(B;926<aA3za%Q=-FV45XtY@`bKIjdslEWVgl=UTC`bWZY}U5e)?m
z%$#C6he8VTv8B3Hn}*FyStEe(TA`qnVFwcT*MMx9zR2r)dj+^rJDIbQ@DzJ_n@S3r
z0|u?Ho$Dr^u(ias=v25kDrWIbxc#<zw&H(kzU2T%A)jpN85X?rlwgM#8ehGcM%rr9
zi()Zx9Ma<OO#s2HMeAzWE!2Z1Q;#+JMB)ReTq<Z<n;E|@3y3SLutZ#a`~+9ub1ir-
z6@ZC1r=z@}7QF|Oj<p<2PZ|+tshfzharEy>bm1jC(BXDf#tO{wet=qv+6t(!k40^Y
z2cuvf%AE7Rkdfso*>B8h+&FQt@?55UVD6=JT0W2+TVy_jfNaX-C)?TU(;Zth$K}@4
z2^^k0>Gn&&1TyK3$QE!jIUwr2yFDEz5p)*<JS0R^{EpI=kE@`*Xgym&GWhype{fjX
zb}NQ|I}Pv@LrXyg$$qME6jXh(;^~K&foAXoFjcm=0Dj4vUuV@QKNlO=EZxt4%#KH>
zbx6T=+Gxx}S>4SwB2i+65uY!)git+#pM$EI6Jj<(diho^-UXt)2BrN%<?JDZF{BvH
zXoxT%XsL)?_tcpJQXp~t#JlH#vj*PLm`+i47Mi(kGrA8Yu_yx0k=lS4{*;qe;S3LC
z*BlHatvuY5d?iLMb$D^}aotU`ab0?$r%px%^Ut<HWw@JvD8vu&e@vAiQw}y?izh&7
zz=n+5MgwRL@Y8)?gjkyZw*cY<-A=b`1BH)=0tC?O>hCDH%)1}681)~VRhJ66STy5r
z{VPZGaT?Te;r_3$#))!IaWpCozOmDT^!wtyQW|>z4Ff(@a;8*!Tt7q5gH@X768VC-
zk2t<mtDJIV(sX@X^tTU!rIP#|4xsV|=+k1nlTH>+9p+v3vqvuyw%i{7=-on#v7v3+
z;tdE_7HY!v86R8q8(jc%(VP-37w|(>GPsa4V--enO_P^6$A!8XaVxhpt{-+PhA$lK
z!=$gZ3k#*PXI*6V=?NcRN#a!1z+y*J38Zn^7f!`TU<NU~DD(lfrmIbSw}Y8-qRSDm
zie0bG)*D|R_u|=h+EHdj0B15_4d?qX8vmQp^uFPo;ZK?Vq$+b}>ySK0P*DMe$*jAq
z<8I?c<8BhSuWHOmwkvJIGT~J&Z}(iwyv_B}^&DH1<F!&;qe%o)qTgYse3X44(+q&k
zGf}*t!Z)xOMQ4uRLWoH01moT3GNcv9y#C$dnp)5*%ejxhS=%QXNsf%hvG#{Jhj7db
zffCJ9=|QdOeTyz}ZCtsk=~|q019C9*R4IK^V-S6G+s2o!_WNH<r#GC@B?r3VS0Veq
z4}t>y4qGoRLPD~mn2akI*QKuStu)FV-L?=S-6<%(ioi_YHo_b-&Pb%uV7e208S?@3
zv`DdHB#jb{@bZCj<h}O^EVDuHsdi)ZZQTqG&SmmwN!<q(XnQSb0-P408KSAlyqSbF
zaLbr{XI~`ze(lj64rvdLA%DSi4Lv=RPv?i7-RI|_5<cp9be-9#$k=HK_>4XX72hBD
zo4e|?;#CYrZ4AjBlwV3TnRu3}+ZZv(VFlj)L{jx9E?eOC{`n!2)r17m4~k*(HFJdc
zV_epX4PCgO^3C{s0DYDqd|GFBg0b~i4ewh(*L(w(^u=hwnE}Q-s$DcTd98FWOsD>w
z?kL-(&&OeyR98%itZXyyqf`A@>t0cHx+KE9tdmOwdAhNkj;diLB<s2+<L;0w!;=|3
z$AWlmU43fy*JrzLF26MZ;xTK=#}6kot8axbHxpGjxH@tkYxEg*^=#@@V+DnZ@g4A&
zha!!WP|Dp>`{UjLS1=D3Cy!ivu<}Ahc&i8|zTyX{=QV>04b`_GW{e!xUBFGi<)VJ6
zH1IX2`}M~81U|HIE6A&nTI40Ui|zuL+n4C^!<S}b^&~$I00}#MqPX?-`J|*kXhRPm
z6UTfvN|g-VOCE89Ll?beC+g2~U$Cx7ErUzMei+boLpZ@$tCX;-FTd90*+8V2Eb7O&
zFiZ&s)YF|bEu<{`PVp-@06!>_7#n3leO5My9I-OP8oH|zqFcUA6dfUF*-Ian1=Ihf
znu3Qem0G2+)Bqz*$jb!~&wsXF8nB^UmXFZe(3y?x>IOqXE5fz8dN9T{S9WFUD3!%_
zxJEjH(aVJ!fW<aitKwyN^Q;V2*~Ze93Y9kjTTO|uLj>r<*wl`!yesY0HlHU|Ve4cu
zL@dG29GAorWurKg(^B~)sp&gwz<jM`;2p@2N1u)G<046G<P|!O&lipMu3)#A*igO_
zN=d`Nph^?<^Ht3MZCJhIgnDJ@ctY6C?iXXa4g8o($ePW!Cbv9p($G4<u0(#+bTr^U
zR#!OMs{mLL<J58^jR2^C`Zg(a1Of=<N(p97o0PCZ(1)_`SR-I}_xGASVn8`~CKa7g
zD2yj+&q^wQ5;m)(lpjfF+WWOs`w&oss@f26;`~_IPJ|5i@>(iF=yG;&pA2<Tsk9}K
zmtSyHy@<%=v23^Lnk+t6Oz3f1KLSaTIY2TTEl?02ELRvwx1F!q0<095UL5Vunil?B
z@3JXBsyUD39~-|$9HLo?$~Ru+e#kY#kkJ(-AuQj5(*q~CM4#~?aHwP=S(hzovbpV(
zf@ksL$%SepGCz!x#<K-^qg(DRjh~ePHYIRd=k4E}W(K&FKt@wgiI97mv}bs-+O!{V
zBu_k*xg8hwM!kltEiWmlF4JVxVN;^9V)@pQmVH~}gxVAj7fhx<0alySXeRG?1TwT^
zvUo2Gaoh|oBf`SjL?lz!6%AXEfjx8b2!C7h**4ZOJ6hGNmM%0Ro-#n)g&o2$JTF$u
zTL$|m)!;S5eS#>&D*6uw*pEuP{7seU^sgMAM@BwE@pE23g0PjXX37ZK5)~IRmAod3
ztzc@O%e5UONRQ&F`M@P18#Do(BJsOD1`yNK7f#e>#;C8zm4-HmiZqR?Me_X=hvO;;
z#l2jdv+(G|s;r&1hLYzqdd8>ASnFw!qh)QrYLqJ{p>evu7&4!+EJ&j9z&f?_{<T*W
zXwT+*0th@DIt1&set`C&EONbh<+)-qcNV#PT;4Row5~f{Y1lq8d|U@l9fhl@Vy*g_
zt7JB){KT33oA1p*wxCCaR{6_nlimcOVK)Y3*nK0Ix5t2^b~H+7=|%}lb_*>O;9|_X
zxG0gpxA0$_EN(8KCS&S29$7<>Wx(5O<X0a}R>zr8y6r?HJF3Aiy9EU094>41Dvq96
z5fDK5Djy%W^?qRkyyN$d)8+;ffI%ndy4&Gfl8(2fhTPK6dG*P-8zFWmR=-+0k7JOJ
zX0Sl*Mc0;}Nvt#vr*)Vkk1DOWz{n3hy)S?8+Jd-jP`Z7p`liWh7xl52mYd9Op%!T!
z5gHvBMzn&50+-)B4E@E#`2=91jV^Ode^dVo-g*gpp-`fk%B-6(8wh~ggWDUqmE~?O
z+Dl*b07&K@aLi<NK1d>~{D_cW15)7iwk>91uNA0etEv-X4#WXY9g}tiYLT=QBiDC;
zmmRIYKHKL<<&b`v{yiRn>L51>p3vZjZABw(M{vjcPdjfH{9@WZ1BT*WDs?OFm;!#M
zB94iJ3xNC~Xe5MK6!Rm<UR67B(e_s2l$xt1@6>c7p0$G~cIN-}M6rnvQs6LzxipS=
zvD(C`m4<8Ev~<x0F<X38l4VU<K#LHqZnyb#xj#im0#ZwkUD_ES)F5;PO~7hz4>mFR
zsNRep_emIjp*o9fW;rS6GC<d<x&?=7IL(Mx-(oE&91O5KuS+7}#t-qrtyKb6okMM%
zRI;=ZQ8q_}m^{2^Yix+L8;42ua$Vz90`~z`PB;z}uoJ4k6Pb2J9J6%fm&S_T&oz7}
z);a?RaB4Saj7=I6AUbkvU+^4o@a_1^L^ejTx|7a_ZD%XamGHlRkp5n9;j!%1-|#w5
zUG4SM_PQS3gDFFWWQguqvt9A{v9{rW0?l=0sDF0%x9xQzGO}*L0{8sLeiIXRDkqDp
zb|?6TgU`+zCkc$jo;)$@eW$hV1GOxkGx$*4rsIwNT!20R3;Fv*9wJeO-AdcHrcDQ<
z#d>?dx}*K1ItvmK*T4fc>G`@RSpa+TZ9A(@n~*zX5**;U0Mw2-st4LE2rF`}r7vU~
zx^6$uIWZP;%|jt#OLv6tge?iNUPfoM3-_O)ZF_y5BOAG0-7o<Kt!FQD=Is>wE^E~k
zONj;D%W}B|KK=k}(bwdXFqzDiwf5AjA*ZGyY}0{)Nvq5V-GkU-|Ld0m1-z71A8<BA
z$B1A?963qCI%!ZJd--W`a1#eJPh_n^-s{=MeI4Ce3nf|{T}`JCRsiybb?Pb3MR+iY
zIriZZ@q42^*{ff4sO9W5>qOeN4^X(cN@LIQ{QU+tU=fNSj>K&va)UgTy&u!JD<&T}
zdQHpogR$!SiBftXa-mADZ}(H)Dv@f(l{UrAu7M*$ILk~`JSO|r3i^T*%h8PBaCYeS
zNRmrI2L5!%-UKR|R;5AqV~mMx&YhMu#VIq->{hYr?zCsagY%)pE(6aINqXcy+0{JQ
zk&~_ARE8HJ+%FW3xl{^)HMqaKT-kLvVKr>a`X<RgpQ1F_s9mI#8A6oI@^QWp$26v8
zjApPiX|g!SU4RHR8n}m6V|&Npu?)ozMmu?>6-^O0Q&}9LT6-()qHH`%lWG2+Hz#-s
z<dfIk(2|EoLGb$F0o39MT`0`)-eSmhOmJ_{b{=cBkh_87F43M}Na^jjE7(=If|y3w
zpPwwKq@8CzMC&=;xbHKU=Rtl2R3@x2y`4S~5%JiiX;%W8wi7s70yD@IfOjmnurB3x
zokBnw{gS@13><^=rsZ@$Wh5@>tE8_i<tL4m>r{Et3-86lDTz%2$j*TDTm149V?U0k
z@p7>0jT3s6U4P_xIlfa=tWk{7P?d@QtDmZ!e3E&exaDZuF%>Ib{Jv8~ipYGkY&nt^
z;M`a8cx-jO0Q<ZS#G|NuIR>li7adg_uzgU6SmBFe)%S3MU1XlC0U!)qzu)xHyMZfJ
zgdYxWvC^o^{lStf%`NN2u%%qTVLx4h(;T+u({<93!<p(tVOmyYf>{tjh4SNIJ(8^t
zdOS#%dsNZY<+M#*b<B+rcZcOZE`csw2bicY$T?8}XIbDLoV;1Sss@C!c0kg`WWtEe
ze&v4@>RfGFJ)b*ZJ5%<YrY2i3F>M05FQ>a43Zmgd082o^zrnmk9HteRym!@C;d|!A
z&%};zO?G%@Fm(EyadT&hNux7jg+uoadJhJk35XaZWpSH-NV|HcpLP+z^!Ra*$hu|U
z>2xHIdL&-2g#qpT`;jNrss3(nbz1-qH4R%;U+?9@>i3$@Ts29<RL|P-IblrHHlA%J
zuWWLmFd&@XG3fK(#@{WiY$Md`Daqi)O@e7kYIxQ)N8D0<WDu$(O~}l{#ln_&oa!0f
zd2f1_!b@<2jQtsAg6>(@=EOkj@<S96SOU@#%8}@Yb^!7A--PLgh)(uA3c3QEQ`m%*
z;~@qS&)wta9qDE*@D2-g$gk7t!NDj}lo^hg+PR$C&zQ0mYR8B~za7AN$AiWtlpRnw
z(TpCFi-jpfaP&54KXQJFRGG#HH-$Z!r{A&(D#k<}@iJSbI&|=6BmD34xhSZQ04Enx
zF_cnux--7>CJmjHcgZ>|0xw$WH>3;f#^`0!PIwCx5$}|z^F#?pSTm$(_W%^e(DB-`
z9UZOJHE$*;;HPgTks#QAoG_4m*6n0^wGJW#bH-jk{c&hLgdizE_xqS=nITrlKG*P0
zmR+GRI#<K}95JJ_#J?kN{Lk-ix0d+XR5v;O#v&OtE#{D14;Ie%Ysa^v88zM>C-g_L
zK65C}PhbZjtQwvF$I#9IKeTodR{D(YGF9f-pjzE^wzXgrdfXQw)lz7jy;Q-KF%&P|
zGrIz%tSPcO6ArUD4RZXzdB5dcw$?Ls;<%zL7Zed{W^LRENPCKOwN2WwRhB#7Cc8mn
z#PN{kMNgkXC|S(5DbmBKp5YW0Q*oA!@~a)4%^2E#?S5*?28T?a#dR&IpDBURn8iTv
z5MJ089D~ohX5)>E=JCu2`H9LV9>^BwA@aY#*+~xVN7Dq1AE~3jp_;GA>>j}cM!UFL
zQtZm#Uqe4wjrU4)q?xwa`3OPWH*g+3o=Tz3tFCsyF7)8#_;5iyOgxY1Z)_{Q=@oy}
zB}L~w_Dzr_q2QRY&kot5Jw*Ps27+U2Uo;tG=fm*+NYoT@Bp3P#2ngN`5f@ooS)98<
zASKs^CtXESxsZ*4^#0<xU2W5H-Z`0a6@BzW5AXqOdwyuz`=oAiZa?Hjymw{>Z4A#Z
zvh=8_^wDZ{yRCV=>dfVWn&m(IdFEF#0%nZ=!q50UYO}Y)Tvb53j$2O^OH%VeobV3o
z_$zr+Z%+5xIvI%L+1n?qAZvuaAMX&H?v=6p9rhNwJ>AJ7x5S9(&3f(0WP(mAG-p79
zL2ei0Rn^}gbWKrR<e-?}_Hh2l9|<3BcT(HHi-!NH*3;UEu6*NHNKZoNQ6`9)vV=^P
zUzyuV6yiUeVMwOr%4&V3qt!L@rl)zh^P_MmGFB}V*0ymzu>X~H%}1^jRcDw!kdd(9
zj)-QZ=*vkN367dSo0LzK^Ouq<qgKfaa*An~jN82DPeFQ~5dEl(mXosqBu?$*j(`Qb
z2lYcOA0Pkh0$FUbN_@<tP=Brx(JW1c1^780enUi9dHizQ5~H}#J9)mW4e+|k&68y#
z15mOCeGm+m%{Y@|4?E9^^+!0<th)Ygbc*S3eA|&Ho_23;zi3)w#BfCwEA*CRM0%0<
z+VbMW`FN9HDS#O%n%}EW?uWST__1>0W*Cya?azE@GHn)ozS^UGJRub;Q``WWc-V1l
zL5HeHMC&7=YOIuv{CNaX=~6ldip|t7xffF-p4b+K<}ne*P$L76OkT&aYXVf)Dnr5@
zGADXUODUn#5zZ{+5XbOR-epfJ-$FoWjXzNE;$Lgc(90MHDL!OMtlD;D%_?VPy}M%#
zlTXaJsNUy;3#UK(oWAEOP{Ilip$F;(G?V=ZN)ig>e-iu%(s=U#Bu#Wm=Rnb^DJvJT
zP%&Y$W*e(Wunr^|mx+~gjGvqY(TztD^J7(hayvo&-kl}HY4wF%`AeYQ2+eW?eJB}D
zq&ftndecNXXD!%&g;bQH8OAGE!gieIay;FB)cW%@Yi&9Im$?@a{3x``cD7@>T&VC>
z<&6}9sdeBO?1lZPmmkMs#_3p3H8HMNsncW04l=mOVgqQ(4ssV{{8>~jI1`xi!eJgS
zS~zI*=&_8F3mSd}qPy~TddyykX}DR|kKj-JA|qM%Bl&py;-tn|Z@Th=UhR7NzE`M5
zk&Y!D4P%ke6e^kXi;*);;T-?LIyQRps%nStI;NGNKbojvT;#@yw*&JgJKQAe#2c@6
z0tQC#*~7mDAieUC!d*gf<yU5Co9wsf?<MXTMMpS&LKSQHB!^DIpZEPH-FQ_VI<8z-
zq9v_L&Imr!qETO#kVHVz;q7KR`yzC3XS{bwszv$ezN3EI?(~t_kCIR2jZ%F_4UV=B
zSc?tZyqo3X&oE&9kYw{L1_&B3`Vfh1)}dYXt5qi3U+b->LXg?5jOsfIe1ud$I7SN_
z&OaOQB5m$Ah5yq?nYn%xb02oVPB{Bu)Q&YcUy!Au@(0-+J`|f^KKu@xDB);}LZ!Ln
z^uFaR0NKzMalndw3>opRnfHrf?^g0eWFHtxVHxJkM!xrSlC|Jb=h;J+7_@ool}Afe
zPZE*p>E~Wl3qR25|Kx%=#@7AIwwU5rY=1(YO!cOd<I(V%rN3rCyu*M9FdEdWAp_iB
zTHY=B{k|i<a{$_K87ng?#!ffB+Q3OSE|!pJ=~=Y)PE3#{%jr0^YV#_3tu>P03xT9Z
zQlXH8PsodQ1lYl2EkQB|@t?eBm@m`xVz!~{!NRb{W1H0jPH_v`hHrvP@!2@+Ugf3|
zzW4-;4iqTLm@bVX!}tqvW=K48E(63GpOl6muqw);iiA~~y_DmDjGV+W&fxyOzsUbn
z|1mnXsjL8P^YzfRgy#vn7bMkdhFURC)&pskA9}L3CiA8xMkgHdd~P+Z(lx=k(fKE0
zn{Ho;3H643pQo;8V|5La5t3L`{LF)D?B>PtKt3Pi=O_=*-DBkiwfHA2yFL|kO^oMN
zj%p90p^n=0(eW)tW_wID|L*yt7)(V?gk{0gArm^&&+(JK+B?Z=$CRtA|4(yY9aZJ_
zwJV59C=${ljY^{;CCE`g8l}4tX=KwNA&MZ~4Jsks-O>%xA>Ccl_05f*`}^)U#{KKw
zKkgZOj3e;wchy{L&Nb&VpNV29XKOzquG@!7aaUnX*PpL(lA{RysS_9?{j@U@G9Flw
z+0P<g5Vu6w{y4y+P_u>Hpha;0mDC$kHDY>UbVYG^8=i69CpMnmfLwpCS^FkE;$`ag
zAK7w(HBJ^M=d8qG=Ue%-Aq;1ccr@%;T#Oz~H=M8SgrcrR5#GHmZO@p*SA(E9kn1b6
zHWn^h3-7^N=nwlXw(~H2Fo>5UtmC$DJ9e9b?n#L57%{d%9&NfsX*8I_p0OHmFYeiN
z|GIIgHKMwpQlAk}__=lN62j!|<jl`{M{};p<jxg3`ZK(Ox1E9GC3zh+j4bORR}1rN
zo*Gnt+~!H}cx3aygDjBrN=~or5OUj(zYSYx;T}CO5R=e2W>0uxmNCT<H*X`^wweBp
zA-@tQxm*k7Azs5T{ZG$@_f|2#3)GapRRLN8m^H$to4QWdqh+p%t6NxhPbf`<)E(c@
zHsJ~@m<*;NiMxAsCi0Wn2?89-={w6IJ)Ef51-BKJRjoT2by~gc32fqo?h8>ez<JHL
zmU@X#8iP+e?lB+%EBCI?F}iwVd>bXqraM0`bUPezl|bcPFPUkleX&{uN3r{o*sRVG
zH@^5=boQZ7!5H{=F8hTv+8M0IkR&8q94>5sye;yc?RY^(<t8pVpF9KV5^jL7q<?gs
z+Wf0f+P6LnEn*}a_IWG~Xq!*?&Np7feJ6f!M2hYfTX%9_zFqw0^T~GVVlo4t1XhiT
z2xauJrqDx7lgKtp;(R6gBnC@{x5PHjbod70qV?hF6O-BDosVPBBa|b8w6q1Hf@;KK
z+F(ri+568AJlfskhUpJJ<+<8ejZPQN-alAqe^--CyTyqnyLd1(!@fEc-*_j%;u-4F
z+6SxC-N8{!7W}Z)Cp|vcT+$n=t+U5nb9BPQ0rPax(?XOU5NE!Q^A2JjBK`ucduk5-
zvnDJjAyX6XydTVi=RHK<bP1svc8+fvm0XxD0+eVmS>`tcOPEp~;qg*^9FFsje@cXr
zsBE#4hJg%qP@>{eQ#y8zc7CqE^GmyEVR|3m4^75=gCP`1GcNvKju*gJ%y_f7T1e+^
zV)qClrj@`P8c7}94{U|#29mJEO%F{*V<IYpO})+iQuN;2$3(AX?+n_`bPE{2yWB*;
z*8HZ(RFC`m@mtl=$9eLcqd%0qJ=c<Qizh1VccLB{TK0(Eg$TssBvUeF^?$5m?B1}l
zU7s4SbcBqqV~Ab)64B3!%v@1GnudNj=u>2QgN%%)tHX;$4aO~ncWV8Q*=AvEFOMTM
zwD|;2PPh^GXGKm+(&awE7i3V42h9()J6n~#6<C!^ojW`_RErM_RIfR@s`LNOPyBZ1
zj4NBqmpX*^)h_oLK`TMFLh9;Q`8JA*^E*|=F9_%<DbLkV@0Ai-!-WcQK(Jy_H?WD+
zj`{IBJoDTpJz{rY0s?T9%8cqt?pL338R&Oh-pi87Rr|P|Bo=;8A?0Np4ek2pcNR&t
z55rBZi`%b@*TtmEmwKwoyc%hg9976Zc3f&L#0ophwI1EW_Dw5DRpfq7MgDq!q;2k{
z&!ZrF=F$^{p_N#XK1QYs%hXA!NkaA>Sbim9lXcmIPQTa8JC;{nrbL;s2!6MCAPTQ&
zvtB<}^P2uBev4JL^w}_d;l65_PDhAlxI|plNgp=HUiwR()gFUvr@V!{VsrB1>yCc=
zSDRW+#Um`vxzE!SC6N~hn$6$5)fuA|GZ|8nV&M#=9K#6=tP14k&QbZRae))Dy{QTb
zQ3MGiL7r{Qjx5vUiyj9RCXl~3<{PBOa@o<3j*^8aZ5qOTc_B443E$bR6A`1N$|F@T
zIn&L2#T>)#vs?bMN(>Pt5>ad+B1hk|kWbqhu-N^ShzqhEThsjZAr=9{uPQH}(!Sx+
zkjt!NZ`ZKjot=_+D`X&2MF@gXQ4SYmT;~jWNUBeFS5BTTFstV4>^AyF7di0U=GjgE
zs9I#AMqYG98Aw%3dusb#n6};|4MBdZLWPoczTiqg+MKbWS6KXh@iHEYB8C&M?qNmJ
zN*P6OcfX9hQY%`T+`Z8%(Ot!+uF~a4yF#tMAG8BO$8*<pgZM|LO9!dmSVSy#T628S
zef&9UOL!UA4Mh4*qs|nkgI$~o&DNIr4GK;*1(nVy3fCZAZ+taSYmZLFTq>g2dIc8w
zRP`GHVSUhZw7mB<<(e#S22&gq9?@<4rZ~P#`Y3)r{m=a9=fP$gL@G+&f*R_QFuQkH
zw&QN^a5)iEeE^D|G3RG11z|T-UYieZ`5=9K^=WZ~GMS7NLABsYG>P|J>GRXRx|<`}
z-@@J`wabzSQr<(=JgdksiNrgW?_qiK&#r(;<qhLC-m`M<yak<7yA$=Dg(p{6OAa<(
zGglk*^%)(@FZN^=WjFpZD<}8`G!^Fu1-;3-cX;s$@5|V&5XKk1ea}5RB@N!i`z@*U
zATKC*2d|H|pQjs1>bvscsP0w~v=Oq%S<IWeG-!0&vSKtpU7%BM($^L6IkMXmC0{u-
zX(2(eU02Mb@!3=RS}Rm!KOZkX#BFUP$Do;9pW<IA$VhcZ=(E5g`bnkXih0{0`Ji)G
zw`kZXD*4OQli!Cf%ZunwH&723P7-5FSUi+JRi7I#6n(m?)4mpBxL{{Yyv8lvq>69b
zXjc9c>-QDDXVtTz!duW$Dyp2#ee2`(Obk4#CEs(Rgza(t1?FBe+4GzAp8{67DJU0Y
zuOQ~J&6hVml&aHV?l{xg$4-<PW2v2ah`#XeW@QOaM~d|?`W(yM#=Io)5_O~2Ilkke
zQ^-NTbJpjs(76!rlr!#@6z}MiLJ%zL#@BjFv(Q0Tii3Nzu{92>1WO669u?i=5H&=1
ze~g=gy5NjEe!i<=^ZScMB8R*58k$IkBq6Q3<V+#&t54r9_T3>enJ8KdJT^0yx79o-
z$dEn!dTgc}zbD&SMk!a~grBUGTYLTEu|h1vd)L)cSM$q7^oDBbVmZ$~3_ev%Y#v~a
zc7Ol8x|{c({wxQ0cMOh}c_(VQeMxLEK8c8Inp`A;b-7skv`n5cJp7*WvcEjz*?7)+
zh4*nNLui8Tk1IA4d@)TTJgeRJ=!5x)^s;j=NO2yUuDeLy%;r-p*(}N&J-eGcao)>{
z<SnsnNRtNMlJ{sVRntd6M@7x0K<<Kdi^=ZQ#0vEgw%2WW2;RP5<(6{Q>Yb#dJ1Aav
z87%fdoR`+B7G0f>cfV2joZ`y(KX^c<MR|f|(GZJxrP+D=x!l=wR-5vI+5s;kBOQ?Q
z=oMSWD9%;3q22#cZJnQQ#<d^Ms8*6=dyK*RLu#Y@g_I1##noNy7ZK4|=XWEw_g7fL
z5K^2Us*zMPZH|K@T+yL36*j(DlcUvVr50JA?v+`4D=s|eLXrG$U!M%%-T%gjNytz?
z0elb`p6Canln46%I2S!Ou{Qlx5Sp)iIh>(jX8|+sj*f8vW8xzD(Y;OVpi9Uzl&U7C
z^vcfb=@jqJH9-%J(b3E$^lr31BCTy@YUJr{UNj4f-BT0UXVgAZ3z)wJ!$#7T1<;_4
zlkhDU62%`mFVA*FKa48n-K(^uqE$e||BgQp@+LGLDmhH$bFf}_P(hET52Orm-oVrx
zz!@q%S5xZxw0T&Oov|d#fh0GQN434VdOpU9e-*oAu9?Q433A=jhVyw(A-MGv__*BM
z&0_i2%8jpHZ&_~?F0hVzO7znYA-me`SG@jYgR%P%VJ4%XjNCQ!t_Ik;>)xXH5N5C=
zL2Qv<3C5S=LgAlqJ{>MMueu#C!0v|RE3+d)V-@gR<KBzMvg8xod`E);d&P-rv(@wN
zR(ng3ICi<97v4*UwFUs5_4W&(H^*V2IhHV-?pI{9N#Qf*A^1M5mRgK42MMF)1=ZY?
zy-NYXA?4vmwqy-jzinl!ZHgsA=P`lcDND--pa*+hS1PJFMot-)kb;dnsmBo3L&T`i
zuDl&1^$`mp{@Po}k~BWtH=J*QZp<@8{Y%aIl-f;{>e_$ImGJ`kLn2^o@Zm=CwMp4l
z8=kDMDsETrX6`I>ViE+#ic>$DB~4=qM7q@AGerX`!0Fv|xL{=`PnGQPRs2R5C9VC~
z<F3;pt#yv@c*J%tv&)h8XHDu^P3g%O&U38aWd3-MJO#SZ3eMHK`Eb-u@5YVHjI?!?
zmhBJgx2@+opN=G`4hn}Utnmz(c0c0!s$<;vv{+I#tX}4)E!Y+*cv@NGfT9`BwgXl-
zgBC@(XsXh>7XoLco4a0`c-A~;A@BCH%Z{?25}rPGsq?S~ZX-sOj3Ir+v024azvZ7N
z+%F<RL;wRtgo;FVG&KUnO{2yrG6Q@T{weH3oIBxsJj~kgp~;6tw#Y=8sni{t=S_Cy
zo&(@`bnq6_(G!sqG_sgSH4{2Gp-^GxMb2AfK2n1Ft}jPa{On_zHmUgyd0P=;+~&8a
zc7v3g5Wrzl&a3~TRA|&cl&dQlk*>OZN1FJl^9gX^aG4CT^<)6uN)3`r?JE|ypInEn
zH?YDKiwNh%B=A^gS_*K`IBen3IqsKJnRMJMK=26)U%T&-DHQYqq<R@mrQnU*_l|<;
zG24l`^kBj<n^99fhu>Vl!e%eYET4AE4RBW1>ijCeoduLBg-9Z#A5CwV*nv}{US3hX
zACm2FJEI}}mhR`L72sn()EEOAxyc{yElLnF0T@qELRs_swFB5Qw}H_>Py=|-5~;S4
z6l8KTLE{l=g3I`?;25JGd7I_+uK$L6?(DrRjZ=C_l>+NbwQ$U%{pM^_7J_6Qkbc3M
zE2zMtwcW;gZaYs9MyMHk3pn}ufP`R3Rs&*OcVn%3faHZ+%zMlS=^FtDO|KO1jb0=0
zRRe8|3s6g$m(CHQ0twcgM{jUuDgY$*^~0<p#L0%Ko_nZ4>?Hg2xD?p#njh#k`T#y;
z6~Jh)(kl?-o$><uh`1+_LBLL8-!9f89f|iX)WSv#6F`xUom43qk^@sIo$~4Aa)}~8
z#h*V$bmE-bR>+@~W>lW`vEh1ByLHC$>fY3rgPVyaS3B1>$Ap4b%GBq&%S7?pu*&sy
zoWSol-w{3GxKVk1o<*g=Qx9THjUMHjwOEXDDHec=&{^2B9j~xAc^7lC3^<nlVslN2
z8d#Sb#B5pzn^Va$V!SIE`B^2?p8=838ToJlxL;IZ875rLeff9{dlF|Ko=adHk-dfq
zul>c#-(vH2Vr9hoNwUyNol_cXs8PWkY62B8MgY=XbAw5_CQas^NQ{Wkkx!FrDINfn
z9|W1#R<dom@2}L|e5zMsv;M0TXzL!)-L|MfK~u<5YndSBFp6jfI04|o{Bx9V8heNZ
zt2Gb|LUu$j(am_0nmNW5HVHjI(<y6>!uayL_{)Jr&PiYYDi%k({HgCflr=@XpMJ;E
ztG2@a$m6Xlo+pyRz=JupR9eK`V?FjE=@poqH+792(%dVxEMrn#IDvT=u3{>S*8AUq
zfsPSqbJoWz%b(K&^snhmSFbnGfXLR#+zHxS2Y8Ma_1kFN6xr|CjnwpC<R7f`XXIee
zmX4IX)ot?t8iWBPUts)4;+|jDgX#xYo}L}(dg!Fyvez;CIf#x6z>;UN1dPjL?nl)J
zeU}H-5p?`6^Qw!%0hcTU(C%3@;Pt^-1E#n4CEX09WbtlP;6EH{oxc2-C6^x@4>_L=
z7K2kQFJHsf6J@%?MM#&SoSzKAWF-DEl#wPb@iuT3hO?;KVHH{?;cC6Ql0QuxsZX^A
zn2jMRI&CT>2N9B1hHic{mqDjDSrQ}o{sRV3#X?Enb>`|H?vD-PR~_h3;~R2Qa_{9;
zo%{dk7|NQ<&m&DFZcv6^>qPG)Q?2yD&L}Kb{k^oxTl6hcpYr)(tO?ekB9BvaF=`=7
z(-FdTRrT-|gm(dl)kJQq22tlo^(GmQXtT1GR-G%WXWWiMv^h;Ujrz@=l0ev#i<R5c
z$u)C5{kEekhCR@)V7X`dEKD;Yoxf{}1b(;O#@-qVN-bvK9&CS&-{q$1_)#A>#xrSC
zE7L+ss=@i;^vXJ^<vCVD(|5U_?lgD#`!;ey^6urr72F(c{M_h=CfS*x!hUt6_ELWv
zB1d74dVqakiC~(I2#aREE56Hd9>}GPi|drs-IzUbUsH%!E4_AlFhBGPYiCVqPAi*^
zp6)e;Sp{IH-AUZo!?%wx)8Ajg>QpO2ND6OvJ%<Jt-L@a09`q`=kVP!ZBV8s_hjMhX
zM_Nd}#@)3atvHz@Kjxg0#S5b74M9_Wdv*!oTSqmW)G$Rv5ovRsKD<ziT9k@w6Ul2u
zi(z&D8QP<9(yyH(LUQBjkJ`(y0#B-38F%Dq4&}eC{LzKfIF~>RqX;O5{{0y=<Rmrx
ziltWW)qj5Ve}1Zc{u>wmJlu`+M-xrV5=ZF&`Wt@2!Nd}E8uqQvgsDDgcWdU{CEX7o
zH9-+@c7z5oC}cFFytgN4ajsy(0wRT3$dqp_5;c)*DLbmbW4xeKrG9ZqzxmbAk(Yy_
zO}W~Zf$c@SHZtBliT{8SBklec-eA(d(@18n^ez7(m$oq$#a=@$%kbs;{Dv_w@wl`D
z*qTtYG^^t}>emc!5hDE?Dfn-?OSnHh609WPZ+;3amBPNN2QLHDL_)#fmh%$g;QJ(;
z&%v##+;gd&OUj*!exgw#f=zq6-s^V1$)3Q1M8w@VyKj(qds`<TvRvZ$9P_?%lWFnq
z_Q~FA7&Qf78WKMHcoDdy{^5=TFDKXeK^vp`cDkOylYNM+d>6nxgdmIOAy8>q+!%LQ
z$u#k5@%k`-&v;MuZjc^r95>>1mE=p*3t(ut!2X@etJq}(lA-3UYEm`zWcOk%2d<P}
zrz$WF=OY@)daIlRr*AF_StH3DK#q!2GC>#3s$P3cxX`23sC*xG^(jPX9-NE-@li|g
z-G?uE0Z$A-ZtY5KdLYA_gIM)!1?g2*F0`n+w8JCNY=|PO?ex{_P0rOKNaokzEx=K#
z!x27GXbdn8d8ssKApI$^>fjipYy_<VL^$%}xWnBiK+c(mCJQ<e$OY-UlSY?(qY913
zl9^k@6x5#xM_ANjJ4F?6WgrH7r}6L6TcGk#P;atqie94kWb-!rz4)`FaNKF9;|`yL
zmgSr(XYc~o2rEBH7~z7jKRNF}%&RR>*bgGSrTs#b908qOPu8T}4}c^Jdh#amt~kEY
zTS0^Ukeg?<HQjJqLDHf1N6S8pjZNKOjkRL)S*lFZCR5a~^N>BTkbyEfh2YQI!-eT`
zVRjJkCEOC5Nxs`#P77oEUyTa(?XEwU3VJhCV&A2q*c#zYg&&s<>Z+G0P8`7Fic;_9
zAH9h&va0}oOUNs>s|A{pU4W%nzRnl*q5IU92`b7-|9YRGWllRNee+r*oEHT<^7ScN
zV<ZM5LTfu691aCN!FjL_#HRCoMn2p+#9DI}&r$n2w|eS6-82}o1&~Ct(jP!{JH}+v
zjOP4Y3L5TayuhA+F%m0zrhCJ{7Zjgh&e!LkvXt{ZrWEf!i%K}<2Lew<cC7n%99P*_
znRS%zYEP4dnU0keVj#@EgmUo*49YWr?h0f-R<dI^9eMQnXJG73;@Zc}9v}Tuli>%i
ze{z@%Z9>|>Xc@=3?$<TCdjM*`u$YHmP)4tD3twh`fJ89-;vODE7#4UUzL30z)C*&2
z?zs?RUPIs?ig-C+C!>&Vq3}51U^zYewIS;B6p89`;B|!vi+h)kb@uf*9nuF<M^m3D
z?!2wXRmggT+Bo0@h&vL+q(@?GdumRv)<%oZL2TLX;riSs&s&(ry)TTED?!RZbUi?X
zGjY!g<g}57U3*w*nW?Eeq6%Cn^If>ZnW~&CtSHlxt&pp6rMJV0rF0e#-|&ndfXEqc
zZ^kRQ8SyrkW5J*VHc1(vrcutQS>+*&e_!^G`_(-)c5PWliNxK0lQSy-9OMn4?5lp4
zirq}pd8dMraS6etv_4XbFbM1D2?J9t<ld{=vb2k^E!+xb>D|V5M(mirapla~jRRM5
zm&DFD3}Qqvn6m_mYPg;AYT%#*Ka!+$QPlCR?feZStt`l4?2?tuF@`^R=aYd**j8~%
zh1B#!j$bC%bj@!$GP4^Vv^wzzu}`pk?I4OD|NO%uX7{+0Ts6k!&Ta0kug;&irL#j|
zb)50+&eN~Bm>zsr9y>kFkhA8d+U#!jy6N!ciTx(KdDF;~elJ=o(V4>8;rV#o`*i%=
zy6rzdwl_ga3WfCB6$nUv39vFPsISqf6DQJroxA8JQtZR+I=PlE`&~+cdF#vO6p*;2
zu@h<fU0A`$mEc9!i{@);Bx#R)*v7C#m0_2Bu6s+BBGa?ok4!NW=}Nx%<Xk*v^TwoZ
z3&`=v(*5dEht>v+GXDw{QnUizq2+bNJ>=6XULGotSW(U2Xq5LxuJ*-;33b@8D{`JB
z-H$FnWx{B;_&?wLBaywTkQUcbWhVQd?+DgV2b}K3^!G7g<={tS`%0xs|F}}{SB)c`
z>4He_iinjgDit^BVS+!un8iP@>~Ss;b#IrXy!qR6Pd3niuhuHSHDl5JWpwr%V#vi6
zm8ko6vLcZ4UJT9?2Ohy)&QKRz>sk9P%sf(PHio1e%UibjCx3-#(iQ#XB<e^O(XQm*
z!Q{CKyr+4P|5ds4r-$*iUpt+PuWWCWRy*#mBg56c!ry<1&9}3+I}ChOY>p6*jD7Iu
z#wqv#y6b5rcSlDjp;@BE-S-<P{)_#fi2kO6L(xHH?bg2&-mCzobzY%CKg&fY-ELFo
zfOQKOk-3-d{e9{{?K&Fzsp^945?t!9(KPJ0mOvyOHmgQ6bRL_Ih)C3tI^ygM7_%0c
zD)pD$!Y}zc@i8%m*RhO1ItydwX+hOIft`K5>^n#6u9dXu{5a@Z#)b~Z%Zm=xD58S&
z-`w@JxBei%qKMywKc3?}R?U8HG8(mj`S_PfV(IP?qXd-#2BxQgCG<3C=O?7mU36X~
zQeZc#kcc^k6LBO>zc6I`f_I|pWQgUi^s#p9v95-1>TYoE#_iE8{`E5Pt|dt2(aF*|
znY!{MZTIVf%~Kmlh>rLT40xrsn>Wa#2Ul(6diTd2=#p{Xb^MPxsX-56dUaAS+ey0r
zgP3-x!oGKCUzlR-koHs0s%)v)dGrRUlWaAIv4X1deEZREP=0w4AMikAJ2yWmbtZ~+
zyS(9Etm(L(dn~;&oGvt4_o8~cLiEY%x*J8sjstvq)m}T^nJAw7u&oQi)6F`_6)8dV
zKl-yGTIfLVc$y-mK5>UHX!)+omhvIrewKWB72=f?-_D6x=>EI<$Cu69S6HW}%BKd7
zmpP4`$7;%}kLTL}+xYIR<=R+R*<^)xR>@+XvEQl{>fB7O<MtHQyQ7<2$vdKV<9aSf
zZzt@JTWMs=2#3S+Ebgh#(hVAAG~0e9Mea9FH-$BSB{o}tRadhOIh=?Ztb);M|J}Dz
z22gM)wtP=cTC{szj((`A7HFBd(=$t!ScYE4IN5CyJ8`)YRlpYL8&yD^W7M#5vgR^8
z%#=1sVa$4_RQijydt#LyOuq8tLBo{-(zg5elP<za254d-_lB1aWFxNbpN(e2b<aCr
z;yfPnsoMS>BJ8rPVy`rNk+CFk=Z8}h^Idc=^A%#<Z)P4J=h4wyo>dH^iG|*8n`qLs
zTWLBpKIGi<jz3mEKW{UEjG+!O<lN?|%9@2J=qC9{kif2ZCU7Z!&~MC!h5p9E!XnFE
zKAzuuGD&UyS)<J?RHNZJa<xbM`x9iVikWQ5Lm8319ce>*FK$0v%6}_+S9+S^E}soo
z8X}Nd$e$-`bTr#niOZ#PHL~~V;U?5)5q!XOytl$?3JJI^-#+q5^Y5jL#;aU8A{^T4
zdV2qm<{dthH)9ZActdQoN^b!vBZr0<GbACQqSAR2fc~+HUesy5b?+t46H{#7&(%$~
zydA`xbmF0p+u44WS-p948okx#kD(mKT0Lled4oM1JF|B)hlVHCxmG*F{N1}gMEG90
z+X2g6n~4&`wm@cM^1&*Nv8$32NyXzk2YvT7Ir;3erPh`QjE5EzdpkvyO1=j|NdV?o
z89CqOQ#OfFd8#?CimW>qD(FttaHi+7R4>nOe3!C$R<GjQKfjp($S;Guh<>Go-^-4_
zyuR~Wp08yzl5)%=@<~^=&n_#ya+#PUYe&;C<`_u!b;&0+&c-}`WZpk6S_w?U)B!VS
zdn}4htv;dJ?lq)W&Zy*<dh}nPp2e3A=b3)mSU3@yt!}&JFiW?iUKf|EnfIC6a&d-L
z{pn`h4YGlCTY($&L%8|24PqNU@nvtOVk#NeRhL~Fsd-L%@8`RyvX$Gl^Z-&fH+)|8
zAiI!kpF#0g@v<B)+H8EU=_UnAW@Aq#2saKl>a|r_hZeDXQS(_n=@*lj$8uRJm0|4j
z63(^tN{ulD%9)K+|BxV>bFAi~j6z!zd!NmTB6o>Zi@q*@W@BrkhJ3UjWi$p`O0i2r
z&ko^vV27`d)+iy%@lJQz9L+tu4?+WW#vgdQtbeYh=L-9r*^NbU+?U6#CS4iSJX1B?
z(BmL<$CcYZ?wP>6)omJyXGcfq7DL~?+Wk4$fGJx+zbhsgC%KVTx$5;w(b~0*>YW^w
zcTO~r*J_@EFIRtkI48C{JU=}b&#DUo9=s~wLIZrLg(#n(sr087yk48|4qJ<fN|q)@
zcY3NT`bqdl`zY4)9rvJr`~to-Z)6lh<dclkl=0P*10exyMP20_4QGRA3CX<sSw4rb
zw49pn*tZ6Zn8K_e-Sfl?*BrOSC}U8=!LMKGgL1llW@Fi8`;4-$5G^AuD*Ug1i^Aa(
z|7U+iWWY8B-O9{*@>4L8RW|LXmz!hTy{r1XHYUch*_NB%W+TwP?%bTab$+aImL<A&
znNe}5^i;RVS>dFruZq<BwdJ-}yAcyU$*NJthm-IurJXfatSlbWaNh*HWVu9mdk&hg
zUv#P2j30J~@l{4)zriZIhNxox!=>eiq-%;()v?NI*J^V_!NTO$Xx<H~Wa&0;(eJV!
zb8l&N+1V+LE+R6Kaje$!vSQ{!ojA)&QTnl_KB{<A3auZRmU$7mBw$u4co$46_3&P7
zI+`7dvqA0ehkj2|UUhuVBCHVC)=(8Hmz!TE%BCAU;Z`hXY^cRfRdN0y!`vno80Fux
zM1IuVgee~ieLX^RuuU%>^)ua&im5U?o&PQVs<Qz7<dMNJS^UXtA$xe(o6;ar;6dh7
zH$LZsAQ7)*z_XO~C+OYCuu4diwGg<AK7i9y-H0O3e2Hk{+-CW=&}h*Ma}gFR0dn*Y
zX-@k)OFKlFt1iMc(tHSPy_O|f@XMAQ-<4E7>S&i&AL++d!j`9aF&T?d{fO6&wPV@$
zasoOoI<H$&`eUEy?NNV(!oU-)4F-ZX`FomaR$e+EF<V@wq?*{xnpJZ9SI#ubEScSj
zEB5oE`Z?v7c2kmgeegm7)R4D;_iCSWy(+vqyKG|I+E{M8SfxMA=aTNV3NsCBl{%PU
zux2Rh(FU?6w(DX-^9eIG@+?oIZbTQG1($cmj_W){BRo^Qr&ytqlxIS^y2Fovd0l4{
zllwdv)D|Z$I5trt#5geaaJxL1XP{&KW7gTTj+Dn9HzUw%humz%3mybXM<UG|N<|Di
zQv&;@e&d!om%Xfwm@uE87E<3;n6Mz{?R#^D#0v;n{)UngtnBF~e@qBYj5pbGoQBEj
zVUf>yPEO;o%~dM>u4?qoN4#x}Utl`6YE|>$?pW@KNW%PMa%}p$HmaWL#+plBuc+d2
zwsAxKNJgHQ-KeqC02$4{EGJIO^qTxKzuRz$#BtjWr(I}p3vbuKgfO!f5=}qkh`bH%
zSX^h+Xp&Y3Z2OPPj2p`K8xQ8h!nNj8rEsk)6%P#8@&t|lMvCVg5OQCT7U(Q0N_Hmo
z2C)NkDX^*^u_Oc;oa_x|@0`aJn{<5cCu8R=x%q%WDsl#WDEv*XVa{HpH%%fsa+v7k
z7vCgZMXpuF3UBDY7c}ZgdgNa?^~VaCK!lG5)a_TIk!}4oB7NbIOWBQ>MP}Ll`MCWL
za}XXC=z}<pw~D{0#=j4t;0_^OBkJ~x|BqfK@KwEf`QLZxk-5E{X?%yQPXaFd)#3be
zxER6xUQZRv-AvjI^~&Ba1OT**ADfRO6FT{(J!#&D-CI~5JjCH1oHK%&4=|V5ZcT9C
zg)Avx{9J{Eqlq%>6@cqO&XxvbmA8|lo)uUf@2x?;aTL_xfMPr2;46VN@V&LseelKD
zRN7=qD_f{*r3+-!h4UGFRrqUNJ0eTE6iUbQ0}tg3xGzF9CZ6wx_cL*R;GBkQBxG}N
z5cfiggXJqdn0X>0-}|k`EgUW^S4;jvdIjTZAOg_?4pwk8A47~IlzqX)7RlTWNw^xo
zBfa<$V0ry6D3&?G9r0~Hq!fcMWIq~1t6kl)g$`hHhUGSEd8M&m%}0fZ)UAN1*>-J&
zKvbG<x39a6%oK%Vob*41g=|nE`ok={t=~QziAMH%HFORaau|IXFK27`t2i`4=itN~
zv}J%SdKhAjIVzKbRzx8b7jjn2INGM)gt<qO+%knW^Lq6%!oHQ76XA;;3^G1bTYmTL
z_8&*USK3WL?&V#2)~Ghb^XX$2FyH@3!;01#ru9ET4EIGFd0#BbBa|W<d!P#CFlG6`
ziIR{7seVfk8+jPgVa%%NF-_O9UO2nmMdy|+{^zxURGZ-To{9-(H{gL%J*HomxfLqH
zSk#f^``Dp!!?ZrDr6$Xgg+j=_TZUh{D*&Y(=u-9oS>(8X{!Xcn+hVc?{Oj{{?X@4V
zH2+&Ymu6(v=4X5GFbt#AA4So=ta3U8{|~z;>N)FANRm9?ofq-VTd+(_=$AlBeX}Jh
zP-&QfWBa9VJ%tUp)mS0H<{@4ukf?Vil|VFP2k$j-Fb}HRs%t3fPD4EA5Cfk+LZoq3
zCrfyd5u(3BB9m{t7#vwtPU(<NTIewzegyFH?kwPG?$CwFHZaJgxFXiWRLw}(b<k{v
zP7Zfc?cwI=gQ}RJ6nJV433bnA!E?Y4EcZb5&3$H6kq9m({^ThrW3U>|rD?o5`2#ve
z(V$^J7fQxyHoFX2^uKa-U!XxGrUv9+!r?I{d*S}-aB#jcly145Y`aJk&)5;Wtk*Rs
zrJ0^|ar5p#V^iRY=AdPM)O)bmul*@^ya?{1G2yQJ>)?EEKrNqqkCk&`Rx;&rkiNA&
zVK?Iot~1VS2E(j;umhfZT>sJ1RKgq&Xg>FJB<(y@KgivIG)es62-0ESY;db2BIzVL
z2CDWfPp<d!{vZu;emrnqX2t*Eyj?!w&&kw=)-IsuhN}Hm2K@X!gpl)L2wcxTl~7T~
z6p}UVI+G<LWxfe|L8L7NXe~~yb8~gF8WB`;5CC$T_PRUbuVe=Wp13xvY&XUeo5(l;
zU;WGc;Dorl-X!f+g2!-$EtIH&01^q1d+mTdy%m5=$A$q&J2CUu-(pg-fRZ=-av{<3
zALa(SB#(>=FFGcmfCn*8g0)&RM(|C8C$DSWm}?g4v5jb?uQsA<+_L%gwuwE<sA2NZ
zxF^x;5RRPw25+K=O<CX(Y<#Yqt-*)zA|Oz!ZEuKs=>8Mnw70M1dB9nku_T6!=_8dK
z6IwgfZwL!ILOht{(%cC<p@bS7gzVdN)ke}MHJ5KzY;80NJ~sPB{Ji5sWQYw=YU%dl
zvW<o)g#$UpAjEucoI69#N(aV`A*VeZf=*K8g(#V^ALruycB8~#`cqBi>FIC$x&)sO
z4+2`zY0@dM`F?jpy68je)j#!AsHfR<ZxfC(PW68<)j|*bryp{GqtdTe=Z(KdQFuMc
zp5g%YRB{|bZj5ueyS3QJnFay9dKj)oXF<c$rWD4yswt8nsUZoWWNBCKYe#>TjzA&?
z8#`7oT@AfffwJ^8kj-2t=jlVQd#_MorKIB2euoaCxM+dbtEU;n?fQ)xkOg-Tz;#T2
zm6a@bYO{FD8tz#GUl`ak94UKL9{!*zl509c2&yC$^fmKf$jVW=s4vkdVtSeF1dC+t
zRAo?n`Rg2dMOTAhDd=4b^tCs+cE?WZ>$8u*93cxl{SbVgiO~(ly(pq$bvcXwmt#m{
z7Tr)DJy!2b3My95XR5d)Vqzz|gLZ}+cRxA?Hiq(BCgHHEgqufdh_g7dOtAd%&EvS`
z;BOvjlkDxi_=jKds5$f*>eso#S%6)L6sO7jM|oO++T|X6nMV1aU!f!2IRZK9{~tZ&
zCW224K|fHE+_${z@_y&yyS8Y5B7Y3bAR_zbHdvbX%A>yz{Ph~S;-f06Tld3x<lM$w
zeA|9DFeZDMR(w5iDrFdnt%g)62qi8<DT`>{8~!iFt(}cO@Q8o=ljK56A22l)VK=`H
z`F;@4ZVeI#C;1TkP!2vS(1p8@Ng7A1tP%cTl}0v$@#8Gr*Y8^z;#pe?(&f@0|0d+P
z)__v*Gl1%5+gS`ixf2p+H|;gsV#R?2mD#SmR}cNuR*5L(^Mx0X?mL*FT*t)Dso&a|
zXYq3l{H)ij8y~HM!Qcc6>bpc_P(6KTj=zL&)-61mil>^DVQOdGE=R8l|H$!&kV`j5
zK(n+)AbR*BjKNh`B=g>H$x6xY^mw0DDMt%Wx3l$|>kG7kJGC@93<?)J8_<$rmlVju
zeg#lHXZ!eeFqBz!4_S9+WI*_<Hq;C377v1wP#3D<+4D(&#**_paZN|K4Fb$+HMi+b
zKIG$Yn%~hVtKg@lX@jz0J7NLmPv`>Z9}(Bmc>=KJ555v<$+-pK59R4&nUzuteO9vE
z-bL0fi<|hgH4N#6eARNJwyQ&dv^N~lRCXD(aJwDQu|EE<Z4%I;w<EDF9I9AmshR=F
z>JV?X&27O#%q!8lneM|R4*&~?=nsW)TEo19puvto2T!Id`@X-PtZrN_D&`lgCx9og
z7gc~5(Q<#f`A9(vZ3NWhSsFakbhO3)raO4;(vwH2oVjd_xpu9CwZcZi_8hcA^-7c`
zf~15|GA2$Re3cFvl5=y}u*gWT;xR-e_-$mG8?loNoLGDo&iQ+JCHL9t)_4X_-=4nS
zdNR0h7{9}7duW@rqPDP64cxdSWS{_Vmu!J6T2fN-a=E?PqsNaMj}efZKVD!cd+y!`
z>$ISZk}HNbi=d;l!N8#ua22q0BhDnD7q0MpoOAtoODIftCDcMVucZ6#ai8sHD$sz$
za=nG)f@tgGR9svf7)f-Pi9@(oW)U=arLLDyP|?u!SaHm~8mM)VVE*tfF)<_v8nDi~
z0$H<mtBt7;o~b7@c`hx#+ziGoK`#yD>E0#_O>-~V=B`G5ABQraSm1hQL#^^cSG<35
zHz_HpSS{EZPGDEAt*y~D>DunEk8M?{I91y&rncURWY+}>&X=2u^TmWG*S;Jg-|!N}
z4Jr%8@Y=3JcuzK2!pn9kj{hBLsAqNwyd}N*@fLS6mo+HnAknKcjlR70+j_>v#<WfZ
zDa8T(3|dZEDvrXH@E(CL&R29AhQ`Oo&y;bYRY=8m;k8*MezOI&T4o5!K>i!`FJC+6
z1dIg)it>ICg{x^5yP`HOU=A%sNgyYLfY9z>Q`>1ZAv2RX85cl9volTpuf7KP&zS)a
z4x!LkvH3)I8ASN3K*dw=I}tmy2I^oE$1}dJHs(Oihnx&$GWKnLCy@50*x1;>#?ys~
zYEVSjS+Y)j%pO}=8kIZ;TIYLEC*<aBuFX2x=d3n~=&0MJ)W7o{;~^K-8lygZcG_zh
zf?^OC-32g9yu29<9(cmer-mb>aOqAqL)@?2%HbD8;Z+X?NqA|F%C7!MxO5teQvcDa
z^g1(*n&iaxT?H3QbIF8VMSklY->&{2{(|_(IdZ+^_6)0e0dwq>RQity^trhnW?FZ9
zMZw=-2$p!B3m)tQG~?&q`l>V4r!MZrGtFH#37^?@_s=;`H_o4yTOP>P#giwu2a&m)
zw&t1NMh`4=oJFL54E^)Q<rkC>qD7Xb<r|cenI2y~n{KYLF}XfYUO_JFaBU+@O*xOZ
zJ+v;SH8J4UTya4`;xT!|&A?8DmJ4YL7C6B-;}^sph(QRjuzuKIXhk51{z#g@7Zs5H
z{vQ10e=gPv*Yld^jT<*W*iuD)k6<1FC03CCok4}um6D?EQl51+NgCvEHSyk<nN`7D
zvZ|}BdP6AvjzYuZl%9dMg|q@)Iq!=x<9q6FKw=}YyL72gMuPw(0b(X8A&LkYHTSK<
zy87P{8B-$r;6sUHY}D|p4qAfh({0NhIv-nLd)3_?pa8G^SU1+~)DoCXf(=xHi<y2(
za1d-CemS?itc-_;=gt$mO#sulxj%kJIUX6!Yis7yek%GPT$EzTFCL?L!I^%B3)xDa
zkE`0(qjE6{x;2_E)!=Q07-S!jTTM-XKRib1(!~!TDl#aCYBCxh@sVx86G5=9LHJmI
zen7_&VW5l`Z%w!O_i0Ob+ENGQj}V}sio!7<YEK~bM+k64Sm0?XroSx-P^P*%vE0wD
zy*Oy#mo4ygi`SLEEuqsA1a#5O$zOCAgo?5hp61TIgzO}8$`e7L6Du(9{_P4a5j=gD
z@NY|$0dg>m5XGr~pPq%MXX{asUllNNdzBz8<XKf!)#nzXSyTi2P1rxoI%JKr)>rSv
zCCeye2aTR-0hj^U2{OIX2=jw}^8S3$VB(0K8P+xD%7liTD_Wum{&z>9fPy~Zeo=E<
zj9pBy+_0HIZZuri7<yzMqi~R7;ka)mDOVT~>ND=e&+vK_@utv;<(eK9avYSUH9bk<
z<>lqU7w-VV86k>L$KqpQoPaLhOS6xV?eu-9f%A2u+QkLzj;IvVpA7a;a}rJ<0LBtz
zPL&oa@`sZZ3S2Cn!k5a*)8;@LL*09oOm2(ei?MlT*1Z5mUvTzn5kfxl@)Q+rjowsc
zetv$-*+yTD>>%Du90P|Pqg*<|Y&B(LqI%)B4A;eq28c}lOn3p>g42B5#L!Um*0bDd
zIvi=0nOAnw(p}(&a9I&1IuCQ*DxH|NWJh*ZuCNBo)3UNM(2{dPWk!qNMdnphRTEy&
zB2vqr^M|V_T^z>&=`{e9kdEac$R2mxj7mQa(AtXN5T57Z<pmAGH=B5w1j}wbiali-
zIZIzi(WZYGSGYcf>bQ`f$fA_<g)~hrhNnJ9O~TdFcHWQTshJ*2ymNTh+zb=uMK=T}
zJv^Z}$z$N>0}pOH7$Z<B(bv}(;DV_F^2<DW86Bi;_6?XgTR$fcI@R<n10|v_1scS+
zEo}D@UhG!}N()c~K)Uj)+T|QJ<HmU9%F0T*0NparED+)8nhq#+GAg)w`d>ZnR6DC=
zj&GY#6TFx;5V0`S`R976sZ9U=d<H^s(ji3qS6KD#Q^vQ+$SVIUohKmqhtb|5f2Frs
z281^$Iq#38qo5wbrrYKu3jDiq0+L`Sh)e3@{@p3tAo_FWEY!$>BV|e)Hepy)EA`*T
zW?7-J|E+J^rA!>5LjN|V35`{kdj8uNCg_W@5yQnC!0Q64p)nT(?!TK<8MApIuTPHf
v-^N^^v9oz<q*_6CFYi`Bm;V37z$Yp6>qv#k@!L%=!GEGcQi55}wBG+0N?m4^

literal 0
HcmV?d00001

diff --git a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-3.png b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-3.png
new file mode 100644
index 0000000000000000000000000000000000000000..0e50118b6fb15bce067e42b1bc3649e6680e36df
GIT binary patch
literal 42443
zcmeFZWmr|+7B)<GY`VKa8tHBcX{4pQLpMnGrbCc!r9@gn1c6ORBPk#qib#uuz&r6d
z@x13d=llEp`Q-B2i?!FBbF3L-++&P;0MmY`f{R6og@Ay7`#@Du7XblT2>}7I4g(3?
z`Nm>w1wIgcbXDXL-i%Ry1J@8cqX+hynh2cW3k(EgL_!4QyGOte0-^xIT`OYnUm(T_
z0p-tq1O#R9i6FoyASli+AkHU5&wpQ>Ur<~~2mt{*1^HhsCQ?xTb-kGa`E!j98lI;R
z{PP+SA%*Z?*BEIjf38u4MTHR3QvY_H_V4Q=#D7ayg!E5|kd=y%|9OpA_rIk3ZxVC!
ziHh^_At3zcXOb=g9RdQ%dnbJ(Un5NoaT^ae9xGc9YdapOo9EpC2$E27aOq~}Yef%r
zb9MI-he|R2c|sgq-`(bAr2q4XuZt9;k)}4if`_*qy)X|S4<Dm67Ck+^q_?fTxUQn|
zKbnKzq!=B2eLcl_d7nOg%JWo^$HUu!mtRawjF(S<S3rOpJi+bb@9t{_<#zXB`m2+F
z_M>R$W8>}Q>Fea-PJh?0m9>YTuM{KW-9Z2P_YXPUJpVP2yU#z~3cMdL)XI~WpNEh4
zzcsRhI{jO`|EtyAH~+Jlr=y3jhmWJj{}}OKU;obzY;FD}tEZp0>z^sHwc)jMwR5v`
z_w@no`2VZCzE1Z4L*Bb@{u=JjD*QD$l3*#tH9c&d?EMw3eC?#~whA}D05_kI{y#Uj
zB=3Jb^Y5ws(^|pX4z&D#Z~eDt{?__#2F11P?S1Tg^_|@8r2pEBlDz+U|9>}8baHU=
zbqcVv{a<bW{lI^AqUUGrV`p<W?!TV_2k;-G|F>`dcMn?LKn`~+SLy%O!N0!z&-VX*
z^M5_^KW5-x-~VS9{}%JV4*mCq{@0chzgw!m7R2_yt@l4=`0ow=CV{PuxR0N;vz?9a
z-^Kyk>d*O>w{qb9+igkS|N6A#-KG==uLt(D)!iAE=9lFCf86`Wn3BAA2mEgb{!jmZ
z-397I8Vl^yf2t;FtS3lZVh9Mb2oDtH^r47*`RG~1N>c;4wn=$DV`3_(n4Fx(N)O^n
zihAN>$qD56!WrXg5fx?mLc=i$SlHznRL8`2BvwUBf@OZpd39=vyc3kLYB^go4tUmH
zU48rIk)FA^dC<?okQ@JuKomqdSqKE>A0LwOAMO`ynURzI^Twb1=h%poJGQhKNa3OM
z^ca6WR^3n(3s26@F@OF09z8~^G@H-gdP70<V4}awYZ=gL{l7Xq70X8cdow5%=)XfM
zxaa*pyT2QyWc(xbzXStvd{_ki@BBC-+DHAn%s~&g|0UI3vt?!3Q!$U^LQmemB>hX^
zuRa3ke}C0OVbH(-v)_@={{H%kg;!7U@~*B<4m=)U-n}hk0OR-30G-5>JyGbPWfMQ-
zGnHFpRInuds&mkOH#*(k^80sNy>$-b1x{11E>dWu0(`eeve~o>mMZni37C}6B{K^D
zyeS+XDdgs2XPCDuPwLs(r<dwvocio8v#$@jZiAn<^EQa6eZcw*RroM-NnNb~kK0mc
zc=BVRydYpGX79!0;ET)ewWV@tbcxDAIq83O*h(7K9f96;v7O7?dA=Toj6PN<bG!fU
z;B5a(Zk{9Gy#^7=3an94MbKlOFzr3uRNgP`e#0+#SGZf2y!Yn$Y2D`Qiv3TvGdK;b
zY5aHcpYAWVB#&$jzjz#S{gb%2?&&%l)B9n*_)P6%8E^KBA1y2U3(emrRp`F7`Rst-
z-b}{y^h9B=fTrK3%3ZQ^h27fMqN$9sW@}8J9<BFnwz$mgf3NLgJ^EH&DC{_az^~H&
zsMbQzeq_S=f&8Bxr^OUHLM<IA`hBr8=!*275ns^dsd>Av|9;yJr02C?YPzHW4K-*`
zUE8U4dAQcQ=Spwy(Q(v2Q~fBtS41H5eUkG`)zR0|WNBRkR*kGs=0{GQN@vd6s`3y%
zSg6RU7`13LE|uXc4GP7NRR+~Y_dfj?%a<VIHX;6aJSwtM7m|~g7q~f?8t`-1pw=S4
z5G<SPN~ctx^zXx7Zqv7cx7WX(drZB;mB0W?Hj*oHAUG~rY8A6oX;i;%{`8AMS8z~<
z|5^_!ie7&LMJ04fQ>58>X7}r4X`A=f<ys6K`{9?TE8OPor!6bNrSs@?fe1E~91s3F
zK29i*tiy3<!xik!wQNBLBlSk_<@e880-8c@Z{9!qRkF!oGKo~Kk*!;8Sd(+#g_V`H
zK<XK3?_#UhhBnr4CU-owp+SE#-8k(VWn<e~v?yj2#B_`@e&dz5yL0AGX{r@+6yoKV
z=vC^PYK-a`!K}7EE$TnQXf$5yi8|_Uz1*!f=E&rITwuV|mm+tMUuQK($VtA$dus?2
z6BC0b(Vtkr_x?~Lxk2{H&UiU2kxIn=W7<ovjsA%|iKp&h{5$1=HIgkDv#XwYuWdWW
zMH{#Nw^JE2!=FP}PM|G86)PRYJ72lVHf$gCN{uO<pigySy)VAeA-q4jNs;gP?w~k&
z%<mdO8<&*@8i~RUw3rwh9!1C#hKD{t>98s+O@FDDp=&;x$!)5phIL6Aj$oIhp((h*
zPO3&OPO6K%m7p?^Oc!$bt(?Enpi&pL{`l&k%VFsGgGtQm(QM3nPjVEiO`17-D!|b+
zZE;uf)@jiyl*V|a6i?dh{v~HyUN61;&)I~cA~wG^c*sgQKE(Q{NEVSh2HqD>cF`Xc
zbwJ3XMvqC*<!Z<Nf_$@Fpl_x^r_}aiTBH4_bqKO4&APr8oQ=C-4jppAfkCeLLGW^^
zdCsExfG}t2t=r-ovo`rxX*A69>NR@hcwDN|<iB;^rqD3kj~65+d~m}Xma*^(5byp(
z!l`d*DmUpM62?Rfo!lBPq<bLby*WtAZDQG!`|B5asW~5G+F#mi2cnI~+?vBaCUdnX
zIO2Nn{ueFnJqiI^dOb{KLbY_8M9rL02+K3$qbGawIx{n!UXC}r2g%F+51&<O#qQ0N
zGC0Y75Jf7O+zD)te1SGbeQwLl!m?&kUeLf6&u-l2%`&X`L{-A~>j!JEi6S}ZUc+nn
z%NN$v*7QUxNkDmAO-$czwj#@T-4taVXDbvk?aZ2b<cs@p;xZibUDdC{9m{Lko&IQ4
z$wY*GcF~qPE^((%WmDx^kK28}y<K!yn8l?Khzwq9?y&4edh+PAy}?fJG~UMnx{y3p
zP0A+^jr46wPUH}rG^~=6E~*2hS(MH$5g27q5hE~KO$rr`u;y`(`8PJW2aYgYy@wW=
z+!mUkd(vm~HliQvD~Fh{=pTzN#r4EIqwb{nwGtwe86utX^J&18N3MKg#3Sm-@oYgh
zHfOO4d=BR|nx3b<(YP1ec_`sHDpH@03GQqjy**@Ah^w>b*OCwZTM-SHy}Wh&0mkf~
z-0d`rulEYUs%B<zn*%i>BHRI#?t1>n)C-FM%x_g><<Gk}qP`I7OO1Hkuz$mj-}^bB
z;*EmHgkkn$(#R$6rFBa>0;AE*k*m$eK}Ow5GuN)Ph@SGdXtH4}tYdW0RRVsauyFkz
zOf8>e>}cX=&7zwOZ8!m6P)nIE{@SH@h^NAm(W%uKT8wCxVN`sU2<>F4a`-gjk-7O6
z_%@9sr8MPJVBZkbmAh80K3OVNNe<Nt68OgihUpU=R!PUm_Y<Z_O(-W)dgaCS6+WSr
zo{?7nr!`%KSUQldko3GLI{dgWFFgOU7^*;j82#!>$MWMK2l}bln201$jg#-<`>(Yz
zV*W_gN`VN!zt0niM`AZN+RNPGPlH&yu+x$B?(qLIzXll48EFTD+o+_!TX+i<V5)1A
zi~j!XQBvqvpCf7HvfDrX|D`Sc?!d++2G-y1K@I>KAUhD0z5Lri|9^*nruYBLIV^)c
zMUeb-tC=f&{rhD64sZaI1x%Y(fu#S@x>EAtK40#)PcMgo(VHw$;xc?~)Z+f-m1eGC
zg?6`9L76{L9vHAt)sB?I$bbrFi+bxmh_7k~m3wP(;Kgw<=U}6e-0H5(?QcQDOTvh2
zQNP`3(7*J>CK2Iiu1M|UuHdbqjCeBM0<K3qH;y)Sy*ghB;|^d%Y)=lB-v?h`zEpp4
zcX(BjsPiSB?tgA%gRu*-GXp?LFOOnW8GODL!+69Pd2rw?P3SR}C)UBc-+ASp3boh%
zsc1gAV<xTvpkB~XAK40YBk_&-ySrW=q_gtaO-Hz19}n}Uvufr@`XAdQOP%dCj<Yf|
zL+glo8t5T<7_sp9WzU9|6M!a}j?i$(L*c`DVm_w}ghP0Y^fx|u;dD(-O^E__L(HtK
z?w=c?W~$hI<Wl3lB0|GC=fn9#Bc3SQmZgE^HHrvLgFblh0GKoqm;>%BaZb@}cG!S4
zJ|X^>hrhJb>LWtucg#dG-v|6O0ka1TmSSR~m22J1&x4gN0O$bX?8F^?Km?B0YDB22
zB%N%@C6Or&VXejc0ANon^r;Bf&zR`X#IE@97Z^L4L_eB$23`ONLuALpu8}E?;4p#a
zlY$<i?u5;Mw^&g?oJViW2w-Gbtm=hU)uv!zFv})Qj$v(Mx(o6nR^agZKoOd@3EXN-
znw=+#5Tm`g^$5@C5w_{^Z%RIWMs96l#9)Wb)mbSd1!7VPGljx?6=UE;8DsXFr3-m`
zEy^Uze6cok@-NAy1EJ)8Wfd<ma43ZwKc=xzhc-X2f)Jsggdt$iA8Bs`yhpm4ZTmSK
z!GQ_jhJHjNQ<HS%k~^KE6Em-h3{9!qV#^d`GE!<Dx&F0M2yD*L%XrQ~c{2#~up9mM
zd;`CJL`<3}1qwg|$z$;W^d3Sq+pZZxa!rCYS2A?^b+c@R{QIaSN*NTW{qhexOi;>G
z2vCsdKdj6FhzY*+fx&Hv`6fTY<`AZ)BaBPN#UvdS%>#}<vWbm43(^6&-F{i91rTC1
z4n=s3D<AFI-e*Bz#Voa&f73`jkv(31b}-`&Aw^-I3yxOxjOqpGPoB8$2Z2p@EFaI?
zW_Damq@#!r;P@0k*D+I}JgHDsSC*r+^z;n}!hUBhB{0{vn3PMMLC>zV8XLsRzA>pJ
zxh{9KslVVk=)BrT#+QWP#5cRlN&lSI>n^z5)XEd}>JCTcoQiKr<|9qOSUo>g55@w{
zk3Y)!@a{x$@6Wl%9tHYF#ER>v5%EN|Zi{b8U}QLSyjv&z8OeGWp7<nlz*lJ=4n`Zw
z<d(1>A+P!JxzRz;<>~&?gRw`CgZ#eu&25e5zNqFnJ6O>IIFiMGq25O2www}`aIwXs
zoE(n=(&f2^Bt{o_h*<nZm0rUukjJc*&lVQ!yT2qRFjr$b_u5zx3!hdpE3WJIMk1U1
z*5EtvW+Z}ti;A6vkQ4MrP1bigIq5)Rtx(Q$draepf9)NVs&+uKn2tV`YmLJ;Aa<Ln
zR|JqN>bOW7x{l_F?AGKNe!LqeBkmXVGhV;w-V6a0lOyKCI{Pk_No9NZMRNS@L~nur
zHpOlEE#&-H$e2d)oA*CwO>gbZ{btUOHXc9waX%q&Z}Hgw+shZwp%Td2SgOSjRSs_N
zxK7|tJeO;=WSb(Y=N<)%=CwcRNVV`u`!{_kGFl6nw?W5-IVr514vCrekx4v!%4Ypz
z)0M#(`8K34%JEB*?}S4$7QV&`aH|?aZ-7#{@IU=JDIIhv<UAdFDzXw70ZUT+P`+86
z+%T>~fK4}j*gm!AWArT+tt2jyMuJp<hU`jvd%oVrmQeG#(3zN|7!=+uBA~<bQPTHo
zN|oJ-$VSiC`K1aWHVn8h(oB`XhBB$jB|9On&>jH$wK}EBUj>e*w=iOZ@bbH}$ANB+
z-E!>OG5fIG(D>j^y|z_le_b<fwC|%YpB4zZn9yoYBVTrZ|I^U@-JG}fnDgA5n&3=!
zop3j^z`c|@;4ZQ@0!M9^fQ=LCJ9>X^^`&WNpuYf#&2DA>N&<FiFZt)s6-_J{a6Tj|
z5%<k#!z-yBBzaE4adgs-uSRdG4VuQ8F20f6X%W}5Is^ipsrv2PkY2s=hb+iUO917K
zqp`c(ms~CgzWjFkc(-ao>u1zT;ECp5V4%J|&^X%D`jo><nj&8!4OPMo2d8Q6#tUfF
zY1wMdfvV*(X~M|Y(wZF;`XfilUve-WDX#Y&o<32SyBm}kI7$}4*&E2|+O3K}$G=n0
z3YgRh(9Kj8(e;2I&2#JIruEiJZ<UOy*B*Ay#CgVcC!EuKwLmOH+mi>zE(VXLD#=*8
z2-u6fXIqY_w9rBzD{w)VfbF_x+yEIMbdbm~R20ROJ8#M0dSqQlB^4mFv+5{LA4DZU
zLDN4N9bJYgM^6iZz}N_RX}8<bgM2T7J#iXUEZ+iueWntxq{(RtuMc(Le&0s`OY1%{
zJUy=<XEDo^WnHYz8bXquX)n4MucUT$745A&scG$Y%B|Y;+z%62$j0nAbxb<<v2}je
z)HEoDnb>-bsT{-K&}Dvio*tl__wGnbmAA7J@)~TC@mh>{HR;DcK%8Tw{}tq9lK2IN
zgo@>f7wYkj>S2u(D_5{<9&~-1>$iFAQYycVa)J*B2Zy6MV&N<0<Jz69OTGiS8r4+B
ztQCEd4kJe-T-{-YLIpzhK%;X3+rgqZvExKMlSX^ZP8uh3N)i-noUq>)CqCOSkCvZY
zMH=x6uz@68i?P6WZlRHM5di)<K-j;>6CA{7fBPyjn@$>MNdIA$?~*I*^ff)J5K0(S
z1;IFGv;d-XgcoUgmHZmGt&0~YJ70#14l}So_~#{(_9?ARs<k<})TR7qNhAT~ZGK{`
za9~NkdycaZrxvZ5px7puNeH1)_>6pBq7Tv4_;;l2&Q}luokaDk6x?acf8yHJCwCk5
z3Ij9b-}mS-B0*59ZQ^`T@9)v3r8~3aPRFpO^|x-rChl-8C7nO#-@{jn1dyPyA56@@
z|3sz!5rczJh6xqZ4d3+{Yk-15*ACP$06{)9gCJHAiyZ>AMmmUTNC)M-lf@{1y{<!W
zF3!Nf0HRLdOpd+aeOxRb)hZFWD8Z>;p$%-j5vs~13mBC@T6RQT64UAXd_sm%bCR4#
z>)Je3DG}R4;O{#CQvoc=)-emu%$9}vb3uI};`{p}qrk7KGJU0yJw3{T63SvBX?5L}
znK=BpHOB4s=6Y!n_)Tv?5W$<m1RO|Ux;?Ld&WU&|Q;&}GHR<woLQ;&H_vsF@s7qVZ
zpul9FJtBS99&V$pT(g!%!Gz-h&U!w-4H{WVi|gkGV3~2Lgg1jvUEc6-d4;95Sog)<
z1+89m$$-$7`nxAT+`F!y2=!DX!XRhNNc@#tP;cgNK^k=%;zB~L)3(({i6Jd(<wvms
z4<Du_hw<kCLBKf#QMCAX2c7Q}V(@BATZAinQK|5Gm~KEw?Uhzx((F7inOFPo@Jr3>
zdeZ1TFyLu#Ak{WxR5rGaaD^p?Q!}753VrrG1krp^2kIKDt+bLSfvy$|ICXrY`t0ZK
zOsNWf;ObsjB5o2uqe(OpZ!NpSudjY}{dl{$=k&<LOAx8Pn5&h->ZHRzC_!-@Chc%j
zOD~UAFiXO?*Em<@@0(y)Ya!+Pbpim_JKGIDo?!jd0?_y63ybx6I5uy`hZa3o)pzc)
zAHKJTQ}HDT<1f=NF)ybuC>(xI^np1HJ!4&%QvZsL6fWC}(E&n0Kflj;d@93qctoSW
zZJ9eeSNr(!yC-fB%@ZgDS(lPj@31%oMOR7o!5#jVV=kEA(aq<c<XqKR)M{GwWHI+h
zBq%>RXxk|O>+}BC@-r5-=brc_-)C!V##_`fIPZ|=vsS`~dx{_4y`_`T@qWuao|vjC
zS%}GWCPpW_Sx&$D00o2N697&CGmjKVEgB3_JC=O(LOWY(^Pvv<$=ur01kP0}PFSPE
zIO7pUJu{&e6-E8HllFZ6Vdjqkci*MSf|&jau(={rpMfp)CCto{XCH{-Qv3d_7heYF
zw~@CE8RGcoVC$#s;b$YJHq*eI0gxRFpTaMn-#K+uHGv#5BlX7MtNiqBb431(NyG}a
zSkw<ot&)2hV5UMPAmqZX<Xj4=(9Y5@H6A(@h$XYeTM4@%V)?)a+QBPgK{E!HNCK-i
zgjOduwrPk=Gx*e^vZ`YHdjh)iM*=|S*yv?Ruu<<Qk{?ndF&_Q4%O8?k_d<yy+OqF|
zK5RLi6iLA-JiQf1dA|9(6W1-<qvs)v4Ew6)1&_HJ2&&e>_7?)vpZO=t+?<aCzh}v3
z{0s0sC<N_&-9%`t627a1{612d^)!p*^WIcdfu<-&Fnnm610KHA@gP$-mTIsN<gg-d
zx`-SE3|dlf0EohVsJQM_R}q;8ML}E7a)1NJ0kxFOBp=_a<=R$a9Yk7b#RWWa;XZxA
zTtpSX&j2XxSD^?4ZDr3u5{(|2=H(o2DzJk(S_;IgIsnRguH%{apHG2PIg%$f1-+PH
zF^(x7;Wlf9)N&BG-57;o4u;~hhmkbKKC95@Pcrh}>gXJDC=60=HQyJU5qNgC=YMf*
z_oMs>4)i?{5fN@?Idg5rL{zHr2(<xPuHi~&P}}405%|&==EGZB2OTF5-P1h9(n%Wz
z=%ht_JV_&=<u@mB5}rpW4RvjyWf)vEVR<;JoDCZG@3N;xjka5Tp}^O)WFZ_6!4QJQ
zU|gO~X<cK(b;n*CH=aivYbWoeL$^m^tQ>r|w9r+={^-T-Ak`>nS;l6L@UF8AE~_Z9
z0#4LK6sCPIiE{BUdB`P*gY#Eh9uw5n7&r(XfdKWVU^PZ^q#_hU;0ke=zP-2N(RD3c
zcd*!^#noj$ngc-m!(8D+4{o26?a_+R1+5KCdjYZ;s(a&cJq~K;kKmN`&NG}D<Cuoe
zr$Ml+v3vLNCj~J_zTb!eu~vew-IrQZIex*3wCY@o=9civ%FlosDdI9alE6Nphn?DA
zV5PvtK)!mw2!gQ;SdqcL0CER`^H4lIs0Wc<uRo%sAjXi=+H3Ka64J?L{9ek`?3xZ8
zTii)`+U?GWb&b*MU8(yLy2em`eu%d{I;v`8_PNQ4NbEI6TVoov+Ag;n&@;>?^tJsP
z1IadQAMk+jkp9Z2bo1)8i#MTtZvw>C%Aft(?|53=i<SG7lPEk<GH3hjD26s5_Pz+o
zJd+3T`h4q7*|Blo<Y-5;ycvU^s+PXyv<SYi3nC&YcS>@bjjbNgQqo4^s_6pW1KZo0
zvvd>>V>Es+pXB%uhh2h2Qu1C(5%-Y^8+^<2!*#Z9p;nOm;D`t!ix+@DJy=dmf`Wj(
z%=v1>J=J;qPk0{IFa{&B@2at~iR~jAj=E_uA!|6sS3d4GJnSK8m(?@NV?L`a?|aNQ
zCxy4#sAuf`BMi7SqHwdAhaZ$IHf4W<NNy<t!Ts#Si6i)@Jel+ux?u9R8*9CF0=hWb
zz##3ne}4m3+3@@Qv`ye14;RXGWtM7vMa8&?T#)Cur(329Y#r30It_y{5~pydFr<L`
zo{@%9BrOqd(do0j`T>M4_b=_2qYy)kP1(3MbOOTyh+^k^V1{;i!!MK{f@A{ueRj*;
z2=qRLlf<~PYgGF5%+GlF0HD`X4Q3KGnh2&>@Ah{oty93`MjhY71&xLk`iwFKZBjRB
z*FQ_cc4FIiSJ>4>Lay>SNe>Bvb<A*K%h9iG%{XAe{rfW@D09Jj4_C~i^Wv56f~ZzZ
zSJEuII0g0=2!1m$GD!O$+xm9ry0^m~l^RB)kkSkVUTnRXP;u%lc+~1?Md%96xMxgg
zuIJ?a6_J=V2Ak_+2k?*DV0k^$@{i$zDm6euG<cy2s?q4zu)qDuO{tYz>C%xg&yHz0
zBwgM<1sv4(LHkJ(`<7<Q{yQ}G7#_R^Xf_DliCGAnMLI`KAXcBiL93d;y4cJfg(9{7
zkbByfl`3Lbixe~9idw9r_xu%RCho*iyC0W`$cb_p3A<(CMy}8k$4nx=5Aj4l=+qf}
z(v<xbzW_j;rZ6?aV)T-4msL|Q4N0=cOhsYnvcfs_U>iS#>_{+7$8P$u6sbTNN~UFD
zaku<la&$6+T$H@e`T{=la@m7)_HiUj;J1z_3kkyG3Dca(a@)dsTa!=q&ctk4UG#5I
z(D0}$>Wi1~A!VwTn`~tha$fqOrVG{_@;-H=pQ651-2@6n8;_jsf1%QqMoRgHl@A;M
z*vF4_7ztMPtZW<{4_xM;;W7$Z^N9(+*aKKbE$v>pp9X9yP_SkPFE@;TW<C0Zkhmj_
zK@Z105FFujyhB7vRs)pdX+oxNUCk&yTG4HiRm~U4MX*Phqv#Aa$+Ay;*2oq(N_>xd
zTXnoO{Pf$WsKO3ye+s7U-;=9Ki|u|c$GIXNNgW&4Y7h2HH+!vP19_4a)Q;utf<^+K
zKNVKj)mM(Ir+q28>kkq&Yijp@tVC{#M#&~p-rt?69w;DN5Ic$cT;kO;oQBz(!v6va
zkAvv+Xz5FJiiP*0tWw3(97xXMpgfw|O)J9kNkD=Oyq3p1kkl6+OnaEVT`Th*nD}ZT
z_d!*5yNdqKp1@Z;$-oEr(4lLm%4OWIC9T2PSy_SQ11CY}2>JE8Yq<S8cIoqX<Z-Mb
z36yCuvfSim1d5KE$|hVUO%)cQDfZ?%9Z)Zv5Bd&RR-ct%1A-pQ9sU)*S)CIXP&lKa
zoAJ52Ou^arxmu%o>(^q}LH?7sSj6n1!O9xE?oOqA!eTjGMs@Vgc~~fkPX7B#ZIZ_q
z=h(8ZL}sN8CCD>Cv=0~lx&fog_=lc32#%~VhT`ZXVXYbZmUXxhj$d5QVjOPapfnr(
zII6J-8;Zxvhf)8$+0Y!J%?=o<en@iWge`#^u4~s&bn0JqJ#7m)c&I4YFFD#M3IdVD
zHn><p3tJHo+aL{+Xvj6bdHOYRUxBhVp}TD8Rc?Kkb>^yOziG@5@Am>by$t9Ce3J}v
zMuJ6oR<6Ci-SKfPOwmMp&g{BnZCP?{Uv=`oXj#+~UxDDOKhYILU&h~S9VgT(OQ{cJ
zFMH+C$6gh09$l6(X1nGeI>Xnon?vJqzaBQ&MmKs}>Ln|Fh&Ic>G;_Aw;(SvA#|e+}
zqiICajK#D$WbW)jSbO93a*4?nINDB6WOUxnPr&cT^f~v%k&xUvH_M6_o!Z15V~B09
z7>5t0z*OOlHy#h3plTs(GxTWAtXH!BYT8vJzQUHp;`<>Mkvy7ghySeBgajl+SqWqV
zEQR<Vz{hsa9!S#J*u!P&sTIv$#C=s*2<GxIj(o1Hd8;~XOEL89xw1c(Am1j_<TM^J
zp2iU6KzP<Q>L!P}K}M;8N@DL#?HN7f`5uhkhkx4%Rn_sT#`#w!wMF%y-I7|}ycMw(
zGSc$A#}*?K;Sh{=nA$?XRj7_%ZYmCM5f}QhPH1lGk?VJ#g!0kp`^##s&oxN6>~*Tp
zACt>b&&{LSJhtc#zesc{{nRl&v7>J?tS^&o(?Me(zAB>W5+dO`Qp{UrZTl(GFe;Jr
zetr`*w_MHb&9ANrxeeQOr;B|J%W}CwS;lwiQX6JYrKIgxraP*H(HXGr7&&-Od_1$0
z0sm@nbr*u1@qkFu?g+arjbTWWxP~u8E}Z}4=g$tA4V&7wL1l$$e!Bz>7~jf11qzN<
zys;;H)(UZGV3-2VUmO#ni%uB}mGUWBFD(f{&~pb4d9wL^hpw5&2=YWOO*tQ4NAXR2
z(T1BW6vAfPQ&BVrK1A|=(mSym0s7{R{}`^WwuS&*2Vuw<fS_j|wWYq&#|KBCSaD$m
zUa)H7U0hl#fBLF0c;A3f?!$Jtp*mO-{or*BN)ttml;jw6Oz(4hF;zS)(rSY$g_L~l
z8Xn9|`iof3ylnQ`q4N=Z%|eB^%JxA$6zU#4{D3N1>LGw8b~x0SWt{TygCBzEg5pjo
zP7i?}#2EH=NNXvRgrk#WabdiU(0(_1M%y+j^#FRPXegq{ZGlG6fq$<X>r4J9>$2y<
zJ>2f{>*T{Pn@Yn@xfAWB*9jLbvBf%H?ALAwuf+&dC8ufZi_Wa-2MW<-nq^W#FY~$(
ztVTbCLyqLXsL%xwzn-W#hecY+5XV3|e_rM#pQ;-a>V+7O&=JcGGQOU!%7_*{DvG3X
z<4`&*c(xygE5K3udnXWuzFG9W90jp7xk7fYF@+P%N+Mjxu=WsxbHT7rif|mq(0+FT
zt=T$F?3)c;ePWm=RfFET(wp%$5BPqXczxe);=^N2)`8YRHUjsSUhd>B0uSRLZVh5p
z{>&~DR(UM3itA~@5zNu^?pNevef^Ik2Ol>n=nF9uf5LJpVT{Lk<<~r7ASS9_Pgi^&
z%O+qM@?@dZlSp~D!AgaHcAe6z$!PX;K`R|I04u2db$LVxLruy!denKwBa2Cy``P{c
z7#ZSbjGlz<BsCq`?UbpGY{coRxUVNC-G`ZjL=~}~tv9c&=v}cCBqM~elu;b3Z6tQd
z-K<Y*CCxcra1v--UJ#$$!W@4ZFIlH6SX#SG<2+M+#$3?(rVAm`)HTM0!q&Aa+Owuk
z+RC#h7LF_wVf1Zn=9B%dvtmj9M3&-uWux7s`y@_KE{jEEt@w?%_x8xg&sU-5N{4Gk
z%8oBXwcZ!NjtAB=3^;~I#r<~c1ma(-DEp#zR3a5%2<ifQ3XC|y;H6tHa}H@34&%mb
zSLUZ3QP1)a_}lxmPUOh*mexogLK`x6hZXZkgLvqDodrDAkWKHKzCj#rWk|<nIAphb
zYLq_czB)vYe{}CiDE9O+FVo45u?Q|GYNfc&Pl{HLCF*Ryi^fczsFC=9nRaY|@#vIZ
zWnF4CnDJ&~{>&?D%Y6N|`+Qsv$yevoZRMPg_Qv7;?a{~`>H*hM%GcB{q<=qen^wPg
z9f?gtDj+ODzph6Rge}O4&I~K+|14DCZI-l^#2MYEL*vl<wp_mgBw&tWe{=xP*=sez
zfI!`iE@zjmJb?q*4v(@?;=wtNUk<!WX-F?i!IRj&s_r?P$_nEwY95n6mfYJmlAuJq
zwOQTwYYGOiY!8iMhRYr+dVL4qr~SkmYO!f&GS-;z2cG@dc<-Tbs&q+-1TU_mCd}S&
zxeG2Au}n4)Z~*UJ`5bP8uED(A75gniBH|l}Qg~}~&Gf)~%WSLq*54x7q&TmLnRj2|
zXQY<8sfss=8}zA~8&;pcV?Ur?%B!r{^Lg#T$8{Xsw?pYeQ#NmLadUNW6s-gI_b6^m
z>mP@e=ONIuB2|f5+(!}E(x<^pB13H)*NKXD%x`IBB(GC?Qe7NTqAV$srNbk4NeV*<
z_ad-=o{vw1x<$C2hursw(A}$8`&1!BkHt3(qBS~=D<>ST!tSh?M8C&)*`nn~$Lf{0
z19_R+rA;TUa|xqfjpZ?OI&CI-o4Ij};+31Y%0b8r7p0^=4J916G*5-DdO)f}nE=+3
z4WAr5bs(&zO@(6Z);;zEE~ypo%%EtP1dEp!69Zic3KaLs;c~}OPUzGmf1FEl)sy{O
zKhxX8`cK8d96?FxUiy!MxrJhM``T75FR8UM92knz>KCm9ZDe)OjbEWp?}#2p$GyU<
zoWP2sj8pwUT0iT#Pkttv5k5*i;QZ;Uk4b!!{3h8<^V5|eGAY8Kha^ntL_WSMQn=S{
zDAkt4Bh$Fbg6o0$7I0D>950i;Mzzw7ab|HkcV~cZ?ISd}>_ft5*TQ5urN!AB#}o!g
zvJcNQ$>oxR8IDp?l(7a(DK;YZd5;do_yz9vb|vvxpvs}#bc7EI$#u1&N5E9(tt|vr
zj&RFW;bcUYgk-raq>DPiL2>UmlK_kVald5~UmQP7Cj%kU$c|H>+{;r`f7oqy53icj
zSujbEixO31)+ClgKxd&zh1;Y_TZ8ap^0nbKhpWBh)<~_PvN}DUC7}q1bSp_i{*W^F
zT0SPJ0!1NdeddXZDvpI&8UI@+97pbk_Z3QJdNC-lRfBe4ry1(SRxC)(PYC9^eK98L
zRU{Nk(|6R8#2`3!*Q77h?i?AjyYZIk)Eh6kRN1CrGoqT2>WKWuZ*>qRqfzJFuQ9_$
zyGcM2fmMc`@Vffr8QPwW!d|Kbnrv(E)#3~<CK7ggvJ?oXm%@|FKT_tMFdmJlN?QCt
zTe*k0la}2cN56<+W&;v|&js=`pdCFa&<-n_7f`G3KCca%pE_6BC_K2wGcJAQTE((a
z7iwZ#w%}!0op-O4{7mdd8*{R9|LkFNi6O!xVfpQ2-2pX~CI8@K3>BfD;RA>LR2W2*
z15^4W4@aE*no+JaQD`hrIbQD@P0>1G5^Gv7HjEBE;a-F<`Gle=b3bwA*qCA@mD@)9
zaa=z5xQDGUuw+sP^SEtL_2uW~D4$QeCa8sJl{av7y8G;_F&5|}kFq0wvQbubBB(K6
z#$_t_O|MKShD)*FP+>imHPF&S3Bp=6MNSy<*ZHQw>8&V>;%T!L5x)aMpsmWN)wDPG
zn<zMJR4MXC*`85ou+fYUDNRw|nXRSnVeQ{bc(2J^a8WGxg#XCs#Va+=A~=({R~1P!
zk{8brw2{2qI6_^WoQ|m`E<~Q-XuO4C$0KZx(m?ltq=l^7diI<)vOp~}?Exz@?af#B
zl)K49lwi%)kw@?#l+R<=OnM}cV`ghex?JmO?A=9iR2W;2)FS$lz!8f~e1r|90mP{x
zR|Q#&o^8Eeqg@geb|5CJoV~FePZxZS_<pnt$C>)wOY%fV>??{K#t;+ge9U=9s?H{*
ztY^X&m=;kc8wx3d7}T7$D-gE?8TBXRL0IIsmD5ZcTg_=%&2{&kWok5wFiObKrp`_|
zOEc|<P1C2<X7mO$<@us@`(j{l0~S?kdnCgXkmR>?wo_Rwb5|kr4B6zvHDU6BeeSE6
z%xoXHhw|uH6@n2fD+`N>gVcG(j)=a1GNiyRRHy^CA~2C*1JP)Lh%I!smVkUTsxIj(
zs=0oBzLBgd`TK!qp21wTXfk&Qr&Z7dvbGYgVRwpxe?-(q4Y^IB^9wPwu#!?4%;GBY
z%4+}g3eMeV50Y9%B^$%^<ZDr^B7VMaALSk^M(OS_v|>gGR#k~l?)bxFR9xkB)3All
z&tNhG-Pl;{;>7k622o2V9;wJR&wuCIlKS04=F0C>T6g78N)ez(pxUjgS&vCW(^~wH
zP(|3?lHE=qMAnY=qQ8Rb2gcGUi#NtSUx}*7KIR2M>m-8L2GykBp{GuU^%biX(-q&?
zzh{+-()CtwtOus|%WHJ%ZgD*DFJty|q7>JTV12G|QY#hpO5mZ3nES)J3JA<0I1~pj
zKo;gu_eNDR`Xjv|BKow3d14WZqLA|q%<~)53%>n^dpmC7^Hz)Kuz_mD2a<uo&*2+^
zw9lQAJU$J|9{b1X>k}rMs7kWa9~Essg#DVUk-)IqpcCGZRs4Yv{RY+UcdXds$|pne
zWJ$f{yBVbI8++dCtWokCdLydlg`Cnd`~g-Bz4v0!Th3zNOGb~Z=)c0^8~%*Y$B;Jb
z)mCaN`yEf1>a88e$itV*6F*iM1tUj|F&g6Ih6R6E!=|%zFnhk*oM88-X|09I{PEjm
z?MG|{j6|L5w&E_;&Fm8O;TqPIio<N-^rfMP^1c1a@$@zd*=}|P0<sYFz$fF`kqM&1
z+VdYYOsn)c`tJhg1UR_1xbE+rf_(W91@1dfgL(4C_{TiCJK|k$;cwY!t!H-+X_(^%
zs>eD`|0c5kdSWQQZWZz2er%VEg@ZI9zFpE&Qh`Jf0#mvUYX7U%(h+qm*uWcNX?6F^
zyMwo??kS-0V)xa(kk)4EgcOj|>GLujPK~4ui+$V+;n#aKt{_=<_daj7<^iSmh1645
zCF$qpeP#F_h#@(tgNT^Q5_-%9{*j|N?b+?yV!udH1&y*RtBY+h2@-Qc7#B{jO@#_=
zsK!&j`Z%^aR<<4&&7gkg)cS1FFFJrFZImrKE^<OCtS7Q;DH4&9-TroM50mw$<2>t^
z)5M$yM1iR_q=0tACnWgQem7_BbG+XlS)w!k+8K^hzdR-bliVa#yk$^0DJ{ItCw=m`
zEg!WV#HX{K=f?_=LFhgb1417@!-r!7W{@OMHzGk<Ckj*D^TFak`t|GkTrx5fpv5|Y
zz+}vbmn58~fW8E!nEo(hZsVcSGx;q3>a0qtAHi*jofNM}rkiomwfHJkdf(1eb?Tfr
zW!6UelETO+((KW`XnYxL{prsA=j9pf|MTU)`&6Zyp~-IQ;&rYmC!Wx&sA3pF-b3)W
zQ~mH!1#7JY{k}wmO66tUt>v=-6|MqH-Q;MuPns(g22QEaR0b#eiP7oA1k;0AfxB6v
zw9bS~R$Q=^Xs&cAort|Xay2ZRYTs>p5!c_Qhbb7FUHM%<B;R@NkMA-2_>auO-(Go4
zF9?~hQd6(YrX^ZA{}GxzTF7$lkKfmy@Sk(KF5}SoOum~L$!y)}_gk)XH~)5V_OOid
zcl0CJNM1<@T%;uqMCkluUVNW|QlZM)aWevdOz&;mMv$>OU10mg;+5QkFSITmjh}Mv
z2upy@B^lw!cm(1`4s~_J@%$+A-+ah16GJ}qL9NvK$&-Yi#ta)hhOVLRceJ#bd)!Bt
z27&ZtYtvRgtT0a&qt>nb-A6c0)yxI1YLT>REJp#q_G#L)BohtpI_kj2+;BfcmPJ$7
z#Tlx{s*t)~-zRue!PK)d_c&y9#nb2@1ImuWN{@Wk=^0L3)4Cr@G#-t!cC1$^X8wI6
zBVf>AlWjf@Z&rz6WEufXN1|Etz!+|i=K7Eo`hSQDCnHEXfg~m7_=}ur$y`5|(0T!w
zMfX_=o+2Y6vJpIb>Yx<3J@0F&>7kn~D5EUAx&bz_DBqU0SF4Fi;kOzgbI{xhH=8Ab
zhme<iTW#GcTd;J*SU@=wf;p>sT&gLfI7J}SkmxYE!$`~2NMe3W`2>?HK&VZoNhO(<
zh*jgTtJU!FNOTi+_t8N!Th?@=Tdwbvh_hP`56BdgmhDscqK&z^V7^e5RPP@oWMp_{
z*z_&NQG8wH?Gd$e*L~~#mnHO;Xkm{m{G;Y;0&^J{{r(hC9HM}9lqA2#zJu<bPf}v4
z`UoeFl>!x7W)&z4utU$LiL@C=5_2i>p%SH3yNm<_3%V{k8?00`JGIlFwbjx4jTgNe
zmENI+Iea8HmS=`f#|d9UG*x~N3K#TAlO2&i=&PXrpqud-->I`tk&GlZs^Tu0hlZF6
zeM5mYF35N$HV{3*Vo&m-t~grGw5qBwDfg=x>chJ1T`++oi*HS4{(8wEo_nfa1i!v%
z7;jTs|7+g(n@j#RZS~_ylFEjLzqdf4#P!cdQhgvn{B!TK&+KdCOO5JJfYYL-q0tnV
z6Xo0V(pg>}$@W4J3L@FuWxQoQ@~a>=YL)S#Cp=URMRA>@NO7GakME55q#aHaG*;kG
zSd{^C-qIkc0J0l1SZ*tw*YyLmE|VpF8_6;cO@>=IyX$X36vI?$lvDhk0f^>hi}`GW
zELNe^GvUXbfn^`TuL+%)&pXz7W4`-HUw&m;U2lBy!z8Fvi&ETYd*tY2LT{nQ+x;)^
zsJ=k~;SeyLY|6@>6QCq8(GzM}0dCR9j~`VfXX_b{6112jST<DdGQ*x~iuL66t#?ct
zk5y1`08(OjsgdrT7uz5eTB!m;!e9<Y^Pet1U>%MHRU}m)sojy)Hk-ok0ylZLm1$bH
zb0N9==_R(o;K6hyk(_MS=c``_4qm@O)j}E+kRTau7F=q-nLg!|a$gd4ccKQN*<yv5
z)isbC1W8EAFw>87M(dF%;yhS+nF{MC<1)1uzu3UrUj`PQeoSWrtb@IDiWnKp+0cj7
zF*GlD-k~5mu+XNjG!uFpu68pX-79=~#B_8M=gmXsKp-n~!ryb>bsmB|Q)kr+_;3*!
z59>wjN3sC3x)QKHL0UNr<mf?>NGvVvjUeEaA*16ZfH?F}1{cVns~GOm6(hXAK3nuZ
z-VCEpL*h<300?a<<n|iQ$fH|^0iXN<(t2SNLn*ir4yxSF;^2^wQ!&SCU|G*WdjB-r
zmmBzdz>zZivNjn<!UbYHZDwuW??Hw<^etdYfc)L$Q4}^A;PVr{1{{aG;t|g{(m=o#
zMSqiO1jtNatA)MsSm^`_pHEZCGeSh6*^Mr9Jo|wF9?imGMA>X0@{I218<a_uV@K?%
zU23ee<U6HV6hl%B7EG~(PSkT1RPz|~6-Bua-8WoI3pS1lZ6w4G(MyFg9$D+I!-B>*
zDePEiH1t5G=~)CCE?_HQYZ%4}ZL>6yW>RJg*fAy^cQZ{Bzl0yMj%D$0fE>;>9SN^R
zo&@u}%}WhHHWX6+>>Wif^Um*kCXcx|_sZxUb;tL|0?DX`4dIC`;DUTT54ky^8~u_}
zh$1EDq$kdm!$?RS6>$~LY4{qWLw_fl`b;z}Ep4IMC5AS^zSmC+=!c*DH%_>H7DxsO
z_Z5H?d}y^M&AXuN<z+Iv^9a|ICS$e=9y&4a$YJ5CN3}^>Y>m}HS7&*8R>Xk42m@pl
zWSTyx6r5K26VoCfH<95ur$W0^VDvKEEX!R7eHas|oS96a4w#0J-~DwtmMI&(SA;&4
zxK<*&Q|0(-<SG>NP(a+<1t}W9#2p=t4iH9?mQR=P+a=Dy@>mB&Diqjs%I`oL(h-z1
zO!u)X#Ro9bs+Fcs66`-Ia{<}XNevf3R((bG!JygMfSB0V@Fhi~c$e?DwB7r4DG0bT
zkAq8=i?OQ;j}8;Vhe`3Ju0iQj7Swg$W?1oR91w{S8epSLhDcy{&;rWV#M*j9R8|Y`
z)w!z$psEn6)0)s2u0cc9FCE2@&eSE(OqJFvy?~jq0YntBVN`u)6rE}PX4Bi7lzzIg
zm<hlPnHPsk4~&tqwgdW~jp!PF+Qu(z(tAaG%iqmDYRKQl)(CkYjw`qye^M&9N+(dK
zwdZ#A12s|~W}^s(%el3F!-pZaGI=|P^xIT{zwvuH^Zh{T+m*n&Utw(nzg53d*YSM?
zFEC?GYyp%~tYPv5<A2rH5LE)+1G|rH33{~(D0h=}vdM9BEn@MpkD_tgzqQ}!1SevF
z2?XnvA)ean49FnsNKu+~k7$E1xi5}|u78<O{78Y>49?f*l@k`klSFM2tJ~^oH1CU{
zyXGA=DnNeUY+pNYMz6`J1Lr~GXUf+d(lTbkr+#kgF~iK1<c%0-bt9>UfrKJqiTce0
zao1@Y+f>iN5q_G`3OL@~cthxUI!VTa+M)Tze$UX~+A6_UMO+9;1jjA?$w*7F*LwDQ
zEapGzqD0WLz;?#k$ao%2ra%c2Qg4YHB4cHYx!I5|?=+6N4^zSBhCK>6=KT%FK#9-d
zu(@x~+As6*qPh@NGk5y#ay)Ao8jFk)FuH(_4J=2;odHH}@d4*k@d-<<%oCP8rnQXT
zH(cda-H?c{0AgrLYl*#xXi9WgDm$2zm1VZT&{tZILKrwNB~J%jCJMR$4h{@B64GV9
zUQo#3j?qXwZ)a>d>&^4|wTT}SYwjIK%6QLL;U9Tq*w{SFH<q~2OYWf16BA<_K#9pM
zWed<vBfTq4`2Z-A$?){6PU>9mp%42;C$~a-gu*vgJ0Z94BDr4Ftsy6kYYk_^rILIY
zSkyBk8)iwv%;(>3r$pYwHk}E*M(LMKc(s=sX)tUM^$m#^vtEsoj`$ajIPy+U+YZ{B
zdlXFSv5{GiCX46<?`TpGLALhfdm*?g{cqIg53Qul-n4cnY!JXT&WcNKKU!J!IO|vG
z!!)SB#pWvyikCnxP<&<|VZOi(GGF|3hhmk5m>UW@aRFAiG&2%?=P>c5NbEx4uXV{x
zNM%v{eKhG^qWRcmuqV<@ayYm;s+6^iS|K#0M-(H*ofexY>30<lwy!m5llvEwG5csV
z%|ARlYyt>ur$^2!kHuv@1CsE(s5#K)hi8X+{gA8>sjWqKoM2U6!(CF?N(Gp0WOp&9
zJOQh53_OiU(~>WQ#EHK_%09D*8`x}6k;H)*iP_Xm@UTGoYOgU;W5bM3MF1wIK`nhM
zCLQV0Evm8x^yrl0_2o~@(!)WfWJq-~GGgS{6D;YT@=-upSDBC|DH-3M-6#`Fg$k>8
zv@8d3J$z;O`pFdK6?OL~QMPqD0d7MbpR&hC9rRQCA~uE3vnbge?nqmqh{&GvJ6O1W
zTwDxMZRj}YyhyA*H564;zYKK}p1q$q!{{=rF}c6D{57gD@EB91x1n2ZP#j~Ot6!O0
z?n<=r!E@<TnV$1vQRjY1m1t8+KW?NE#-!6Yc>EaxprGf#z=cpe%O&ajj`jxMu-8Z;
z3SDxvvu~hw9}0;z#&2H!Uem%pu3x0u>gKmE_X}APYo*YHi3MoC1pWF_u2tBdr9!C^
z96nxoTvk7xYDo7+ie661SHcfH2Sw-to$6wR46%&b-n^teWi?T~rzP^Ya44wSfY8I>
z*oaAzSka-zSJb&?u2SqYz)#;qanU$dptmf?jDr#_QFVJMjiM--@t5dy++2QV5cNGI
zm=pWJ{VUf>-o`<Op3OB`H$l^gu|(=*L~ul5KXJ7R*}dl_<1an0M3RMNAfF09o&pN9
zyoUKbf5op^f)03S9iev2f&~P!Lp2ufO}=@SVGa-EcOBuV!h@a~uD=IF5!DWnWhj&N
zO{s|vvxWXzqQUyBJ@7XU?rFg|s){2*ZMNdtl9DqyFqtss+vqoR`JXW81Oe6#n#a-?
z_{*2`Z(2ioFsjd9U_!gHpNLSNKr*$@C-i0#Q5`)T?U#ItO56$Q6Q>A=LSuS~p0>$r
z8~?1Rcr(CK58w+Zg(1+$6I%kD_a7FIuCBPa+ldgHMBGz0Ol`E%q3f#UR@QuLMettQ
zWKY?30_92i7GW|Xn1kSI{bU{oHp(LIYrUUUR8A<=7xiID`S0s|<oeqXc?6YWdc$x~
zRh{JF2?j$c`S0<nxyw8qbF&LVP)bPU^J8h%vh_ymud6tGq;Xb*TRhj~k#@t;`2B(k
z+7H<}&3HCBS&enweFjC|@4jL#a3Pa-r^P5|rY#_c3tRtSBTW9bCI*WsOu%?=88VkT
zP^hOy^=Y)wH&*2)YD1XKa-L8Bj<pv#VIo9C-0Fp<Cn(3?cb|wj*^_cAx9F7KCVZjI
zhs{g;+)>)rEK*4n|Gjist#ybvy{Ol)^4Fw|!vWl?fT;Vv{sV>9S!;%_fz&iR%=gf=
z7tVWezH$SWvjH=KHe!ToJX~*rzgfsBk26b$6XKfC<2**lSZr!r-03h*yY-d2y-dAe
zf%S;7Y5d!l?cWRvABj}NLyQtO=k3FLdJ~9>01%Gi>ip8Be?QzJFcYwxu)+i-r=PY)
zIpFi-R1XS`x{Ve3q(X19$VUiZfKbfwiU9!ch#ocqSP-6h4Jept9sTyyB<QOy8XGgU
zru_4xN<t4A8WB0G-i?xgB*oTI(E$xlYU=w`<~_<^WpLfiq@aiNBGu76+XdzLGQauI
z(~WgnV_r_=(GTp-)(p1<m(P^P-Id)01}|8?J#w17Eze~E)XLujTt;I6Ut=2g1<7<{
zwQ{dW!v+eCTjOGHlK=U)0O%qqzfbDB=%Cs0%vgJwhKlV#S71}oY@esJWPXUUN#nF4
zQX6?=Qc16#|5nW2u#-KsEew2m1ByW;uG|mz9-jSfvnIm<H0sD(rb6mesC4Mp5TsHQ
zns0(XwB8x6w;@vh@gR%Y`T>a?)O$p-yIxU0WFC=ZenCKDw4^3qw28KezYLWMIL+d-
z3Xhv54L8lD1I^ljCDKJLMCF=g>Y*<;`E-P|cWm>0y&rEtjDJuTqeUzP3s4{Vb;LS?
zkuJwkx#(U7&Z$Y(k4N2KXFNjcCD9(n&V=#uy{qUhKpT0q(}g4*ccRhX%Z#M=N}~<v
zh|k=(l1*ND*mrI`D}k_#GAjk21&vfCsFv;@me4&0e7q<vm7Jv4lb$TJ{h%xcvG^_A
zm5GoyOIu}~;3+KE11a2tZz_!+fB}MNF}lRXmee%7%zESXsAAn!zL+*7L0O}(+65fs
z?lpBehmKb1?MN-=N82BmdpRB@GeV@^cB9ySKz}~cWbK_WB1GeE&ZEMZL;qqt+H~^m
z@!@QT|H<a2?V^d$=ae+4Xn&NFO5X-CYzH~#Vos9R<EEtR=F$aB_x!Qm14(LRkZ3ru
zL1D{;932#eB&9)@T7TRQvWNkISb9kvVLRbAMyCeSa|4mog6&A(^%Zjmn?pZ1XRjiw
z*}wL+?^m_yeT$-EddEKl*sXo^1zuqrC>H)e#enao&}*xpwoc)dd*Y$0v~@b3yhEK{
z>%Z@4@50W)!cxGm(R^?(6RN4=`chC#IZjGFwroMqAavNREx?qy0PTfNP?G4vd8*?~
zkEZsV#!t`O6GeX@LoRH-P;ye!AsdCIE-njQ(1zHnl$EO!I7lc(Ym7|kzOSpsSiJMv
z!nmq278KB7F@k1rHyHdRY;4n|K>c^!$i>9-!W&SbH4ptcE|O;BouE&Y3E}UlG28~}
zXaZRI1Yg;B)OW=a#2PJ2j&AMpao9-{g*l=JCjS^kwhRc|D665}v$0P=B5YzyS9NNw
zG<ai1Q5`MCjpiCPyH*SeD-Mb3LR|zwKz-R6q-i%?j_(%&H-~@h+YwG?zv2r9g=kAH
zg`He#CZ#2yKQ2x~IDvbe)-Fw!y_hGnzOK3x0i!VQ)-b0Nw!SI93;Fp`8@>73_qYbI
z%RwbA>v5*r?+H@wPdqg~jd^ZAOaLFj-RGtzo++P}NU+vl(C?=tTw&oZ?&dsiBCl9V
zYADZa!Ffq-LsY+*cdHuv=ehRq?DhcKbp|&yE<r!@@E>5?h(FyQNpb)+kn{0tc*pGg
zPcDwP0J(Pp%gyiGC%c>97dp=DRkj)M_z|F}_*0>jto9ZsU=SSmgPuR59sU_jj<JBn
zg7awS5Q%{Y?;U=}{Jjg+Kvs}6tREejo*|D-kNopaBpqgBz&p}EtpUJhLwX5RjewFl
z?_q3)?vX>-lUR~nfM~BT09g@`iu3a3&EKDlNwh`G;~1lV2hf7>yd#S#Nyg!o`}6h<
zlLq@b0li1aa6(4P=2)U5jw29_yT>z-NLBs>moa*#i*exj^TxW{($*pVQZ5ipeMCQH
zd>1DD{xGkNA^-$CfMa9SV2k;X4HO|&YZuD{2NK|NPzlPwGj&&M0NiRpyP?SV`rRAg
zq<JdXl4Z0n6+HAj`||GT{~_rt1FCAeC=3V)B3&ZgB_IvbEiK($(sAiVR6t4TmhSHE
z?(S}o?*4}N`wutHJu|cS+G{-rV(hfh9b!3C+~o~IpCGDa_bs~q=wFpkaXRU#Yf~EM
z?@re91Wu)y)zKaq=Ks`L=&vv8?5(J_WaF2+#nCho+lE7qM)x73{2W2voR@GM_~J8W
z-3If)#roMc>R--#>U^HPVGOVUG9q@fbiY2c^uMbpc`Z`fR$2_4(ZJ11V+O>7HI!m-
zlaM_HriH--yziMt+;;2cGwKeeapQK_Ty0<Z28V>hq}vGEFF@D;EponunV6t@xGP8+
zh>IZKu&v8z2bc{f;q73I3|cPBEZIp69sJ)xV!@>a?j}>~_P?D*v;*I!BQa1fwl)x8
z1}6g-*wt~7-caJRTV&eqW+&Q^L5338K>~GM)A5l!mF-AXque;{BQeH1ORqPs>(ql1
zgE?TB!?~aGYZr24AkKBl24lLIA3OtMqy+TOd&b$t;zQuKWaq&wGy)6&yZuR89{j56
zBFiUtwE=2zbp7H{R_*LrawQ#J?}wXza}_EHIh`)Z(@u?2r$5&Jl9|NqQn+9J3kp*%
zJ^MrKfuNrf+$1L%X7~;$e$2eJV@LCW=;U0a_v6w`Vhw4#W4K<7?z8njSdL`BuPZN>
zP7KMDCjk$6aK$fhzO>#Xg@+4%+Y2?6(4q1IB#4g^87F1<(kP)4i>wm>kwGT*D;#)b
znff0e4H9Xma&9Iebu8HS%j;6a=`sp%OQ%5osslul-hT@<OeVb)R1C^s6h&Fv7Zvtj
zR>vLaeS2f!mFTdp$H4^Le?;yw#6v#WuYZrAv-!~Bp}-$X(rOi0tK;v)X*DY-nN9l|
zRYmKiz!&H<ZgB$klUfnD4L{`RF#fyV=e+bj_6{&Z`SCun?%nKbRHC=C&4?F*Fy${n
zFHo?ml^aXaeD{{Zo_`OTb*7ew_NQZD*35;`*!2W}nFpr`k{h@oAsi-e8YS<!a+9Y<
zxWP2{R!{PH)BX2pOeU~?Ttcmb97(73KnFD15;z5mI#=W6#?V^-fvZb`!U{ut4`&Lu
zFke-j)~n|<eTE(|Ik@`<{(x@pX9v&LoI}@CawnMM+@chXtRczAgO4!oqy6IKi)o?r
znaGyK>WC%^kv$(5Ie5=vi~y$$YhG<BBCvIlI=+_6;`~p2Yy35P(u4{<7D=idekHrh
zk+!S9ThjH^gmOz>v_-r=+>1p)=?u;fAZNfW><Zi!-DPK~-@#Tj`GGWDp@O=Nuk@b~
z>ETpB>!+l*6*=aXS`m-aKHVRkpGQ&!d;n5omcry3Q|0Xs+Nov?44jGgRLov|V6y9X
zsCncL4CH?O)V*+sWRE8=W1HxBJ`d+mzCWte#8ax~fjPN}-%Ayoq@!rkIP7lwf;6Kg
zvEB|-uI0Ip@Lk(&K?w*voOA$zBQNKS;lErJ5x6Ja*(j3fU>2D}bj6snrtEW{yKwbn
zs$!6k0A{FNs4OLm=cslAXq!EqQ+Z0%{*ys6*^Mj8ZmK$qUqYX?L6R4+b_!U6AVS}G
zKHZALDaU)>-;V{jN(mCk26Q;*hOXS9ZBm=my5M1w_b-CD0|y9=6mkC_0P|NukRpW$
zSu#KnDzy#>*YUUnr*S9g<Zr2;cx^$@6v)LQlMXxNV>^r7j5v^~Y*~D=8%R7ABA<CS
z6RANJstdQJJYsCunvb&_H^y(cP!U9s2|rw@X#wgk*H-=4F)}G{5IXKWSa0_zQiVlC
zQCaP)f$YdRo1TU=fPUx|2B~X5NXiUkytsVmV36Ee4gb*ocWplN#=n9`U%jK>!s<*6
z<)gHE^KR$M-pMk@=Qh5sw|fxqQ=OI7p3Hn3`Rh?nnglBfOu;LizFp)Yf_eYa_oWSO
zJ5X}GPNXMN{`7tK-U#8WZ9t6W;?TNXW!B6PM-COTYyEa!1Um4ZOWA^S%8LrIR8_bO
z?o4L9@?<Gb%?sg5Hb(rZ-CazVB`4frW~=J*)B(+3_`;X+lne;!fnb`1)K(c8^@qXp
zcV`8rvwY1|jy&;OJbAuLtc60)S=Ym*2F~u^pn`QT)=N7I82!}IjE^gpi)<Pl#2+Am
z#pF>GOwld|m6j2}R=EFSEkvu{1r>xnAC&4>N_rKiQ1ZV>>EHJ_6+6-knS#Rzi%L1j
zaDtk#z3|3!z2Z(we{B$NoYQp5zZ@#~-zeQS9l%zi!7teRNq%u<-zjK^YuNN%sps?$
zX|#$(Ae&#9k+)~9TDgf_)uDYb9BXU-miP0E0TAiaD6*xMb(Sw~#MX91QEU(DoenS_
zzWp@;aXBO*S)w{*=t*|Q>rI3oVF_Jlv9j{gQQY;xf6d%lp%GG5Jx5!8drUG6KzoM;
zqEz}A;Etw(c64(BnQ-F2x#c^TaE%&XC<7E`7=V#Oy<86a2hQ@Fk_?EUjFtdJqXDGZ
z>=%R$^vVq31jZg_>wfRMBG~^I`AQD}t^BS5eH0wD8Tv^*|MhWvXRjTF%mBznmlm!n
zgJf_I6&v?M@k`JSVHlj$cNcpg-bXd$hrTsJq#>dx{a>Q7=S8czK|^@;O)v@#ypCBf
ze=OiKtSaF$(-NE#4+8zv{M$Vc`L6#pS6R*dQ3~G=WV#mhLn6lFspM110){v`(v|;m
zlz=l5;c7!fxF(Ahhyjxn&`O0(xy}*Jo;k8c3r7zkXA|!XpRwer9wxYL1D{FwDG59_
zy#YUoMd9aY6^*AS0(L>ymPpe?zV!duQy{>KF;XQ$9*hVxCIZC(cU`(W7RF&Baz{Y@
zf>)BJVYzybfr$y0{JM6lHaJwd7Dl|FI&C|Bd(g#fNaA?iSaQgK=Dd_H_8W}L#2QeA
z_5S<LFZz@jX`HYW+Q}Oj-I<->yAgZe)LbJ_)*0z@O$-dB(EY)ynZ@Y;u7pAZ0Wr1r
zS9Ku6ocaerR0_kp8ch5wK6LS$ttD+|Qu|_xcM2ykOTLMc`N<P1sh+8n2R=5FN}v^e
zYlFYmIHFvhjZ96E4ig6js2g(KbW)K<>H|F%L4YPmEM0B5_FGUx91!nw#Y#xNqjCzN
zcXsuvq?wLhJL<41<$%r@OiyeVs*7^aOZ{$3TAth|a}@~6Lkk%|fv@pfaX<x7D=I9w
zWPVZ_kq6!&^3N=&cWHeXTO&$-Nj9<oS3)pWa15Hgg=nb^dQ}SAogA}%`O?V+cVvj9
z6CaGJBivEfdr$xYPFQqDdP-p?J1l^2^zh+;FdLUWq;e2Ad%I~0e`c1Fpe-Q8c@9CU
zNY)M_T+3<E4O2)?1F23y<jF2kF3_-zC>~Vq(->rJT*1!#1~Xi5|6Y-1EUB{X;-97d
z7Vi+Acnd>A18XO)(e~82^3g~5Y>XW0znL#q8H<^zZ)Wk!AUY6g2CAHv6hoeA>%yFZ
zD26+#4orC^vIjM|)R!r@z=E0GAxQMNak4M`j!A(I@r_2Y?J^mNu^;6!Btw9svhSQ)
z(m=Ng3Y#cUV`A+mFmt!VX7?}RX+tlDg_b}QoL(#5sO^LR9oR-$lJ}cVqQZ8#6FAK~
z<j3CDG=3p#o*j~Dh?%53n+NqSh#%-9vfl@R7_-3kvt@*2$D{!acXykL8oK4{(_bwa
z{=7GwA?gO)q51iS1b4Wl)B!vebrqp@yjN`0MF=ouAyA1L1!^VES0;UzVgyC50Gp-_
z=LE8Hhy+5ls%CYc>{bQAa3tKrboQi@zlVLR(-3l%Wd-j!XUp!Nl2;FW`wJCjVYC?8
z^cf@QLSt-rzY*=etu5HL5PovZ?Q-m(=-K@!ZlL;S9jrjKmm&_@UI=>K0YU&POQ#4O
z6c9~|F>-KURO}HO!2Zmu6X!b!rd%%7NFcIhpT^H=*ck{aqL&5&L~<R_h(W5{AspIV
z6D^PuHqdVsT&T4-&LE@wiyo%o6VD>q>H4}if*G|&VYM!3hd{yqX@Lh<ss=bB)wu0S
zl?@@CLZ0tH7G4NG(_Dxo22G!7#6GC!4bCy6TH0MdeF+*HN=_`uZ`!@C_iqg9#Jo@P
zpBPz?g<Lp*R%7@I+H2T){16O@w+nGfTNfttlxB)`4zNUnQH(Z~55|j0(2NjjMc3;r
zB)%o94hQD?iLY}ve8Uc+zS9owBe<_u0&~9N$IuTa87kWKL;Rd3{ZW~j6z;Ly5Yy&4
zCqlNb;VQ|<zfk~N0bI1HKVYIvg7y}=5x16e7o6{is;xggYb1G(ICs(^$}(g@?f7b`
zCE9i4@B|NuaRNU4_Ks6ST~G2G6cQJ8TzI>=j*(yA52u(rBsy-qg-tBdW@}$j0Vsip
zClH0z1yL8}QB=t&duGf73JPmC8iY<-m<L(e1h&4m;RdO7AUTF?oP%wENwbn><*QRt
z$m%+=#0h%P>wh3!&2nv+IR+x)h7t1sIj8h!AMI#l{RRt__XMhE`!_BVKWJP4>J5F#
z*E8|d5BY_zQKw@rhZblJ=o$cTQ|`ZWr$c#KyAeQn08ki`Y+pz90SD*#cEraSL}#21
zR1<TcsYkf<>0hQ?iPX9>>^;QiFHD^Mf|5^D^lFlvjAosLu7h#R+UXL?yzRHuwkt$a
z{obBmBkT<vliuT+tG%EHUL4_iIMh%{`^g0qL}{yacLcNnwH-CzSIxk_IS-P&061dF
z%Kw?SxTj0}E2P23a`<3JYoZo;)OBNL&McJys7D~ES3A`G)ZD<JD;b1AiG?7QT0xAa
z*$D}4Xa}kE?av3}xi7m9K<Kc;g9}*Jl2bgsQ+agIr32c}Do+m#*J1QyB?_Xizkwlu
z7Pq2k^=4!qAr+CA`rmOTPZmB`E?mK*FU>QyxF}(7X)5#!Ho+Pe0|O%p>;#E6T5WV_
zwdLOq5hS3-D2QIO5E!(og#6;)$zMC6U<DA9jq)*oty}Rv0+k+4iKyRdl&=xiJ0$VW
zr?PMyP)!T{1<r%cbj+X}<eFvv9FzG-eJs1BgZZigzM;BCY``Sq7hKi{;GX3UyqIK!
z#5t!5ui+;+`Wx0a!9RvFNQM9|<|kAQ>&AOaA2u=<Dc+oF@^IJtt3&ed9*wds`j40O
z{M1j7Hu32r&*9=4i>Y6#L7$Da7LKB999O{Wq+5fZ6jXfW$e!k((E`n2Unb9#r$14N
zZSYZ!qFk?j^FT?ggGsJDMT+;4+avGy#g%+wS?Y<T>`nRKnDW<4E~(bdj^O3q`X?i)
z{+}JhJ+Z&J;#)~5|8m(0m7HxF>y_5${^_PuECWAAgsVfg$}{JV(|yt|<ZjH7E5vuB
z8(TRZ$no<K+wVM0{&?^UumoKG9C7}QG!T?$=+Ec&KLLj5p=>5sp@S%BN6u?_c#A$q
zLx=|;B?TTYB55G}K6dFNw*VzKMCSX9Lz)0|m&FDb+jiarO5E~h@H>7WUrj$0cwJ5M
zcK9y?KZG<Vh!+bsJ<ylxl*oOTG-*G5c6_BqxFQE<ii(WH#=q8|p7NCI?gUsje~)Ol
z8eo8o!G}NQZ=i?OFpvXh6Bk{3RrN1ai*2TN5K7J8bgo9XVJf%bd~ef`tAG!XN<n~e
zCizQ2wEf9OCN#ejvJ)y=SwmjhM;p|WJo%ZId+5EDoQF<o<T)DnW!5~`Q=2ZvrR8}~
zVO?|$1VNW73X})1+v?Rhm>jjQkNlxbcEgEwtQgW6;p#xBMZ#rNZ-3{^KWenp;{E8J
z<ivFW<sP?%Ld^eR0l8a3RO$_k!b_|l)W|Q$tFcH|3pmRl{W3J<tPzbaY>Z>DthMvA
z!7zXVcq-PmwIf{fP~vAsM6|7^2&AxSX@Q*x{NzR|?fx$+Oy?w*+gYZ{LWB$y4yCE<
zZ*d)@I^okUl%9|oAm<cn)i7S$>Awnu9}!jpHBzB4i4?|&aGRluJT@T`o)X4OCeKQU
z<kY5i?I$2mY7AH-SU7%<%ibL#?XSH;Z=U=>eZu6(5Rit4>BY##&-~;F*3IlPu*z&y
zd%vI%teSamHzRF~WNuy<e#c~^Wkx-WpiA5xZBx<tEGcO)u?o_L#p`q|ro2TXKy0%7
zH(U1ADdKYJRI~W}trI~+tsx2j<IcK8U{(d#xBrr^$_1H?xFI0JO2Ue?9y~$PN8s@1
zYI|LBTt1FUEC_KiimQEkX_lUep<VVN`{QC^M+#3qzD<wPFYH;pB*?McUiaVLZ|uWn
z*^YW>f$%WJ(XQp+Lb~k&q=B($LbGair=9RLj_z1<?<YTQlPe`N`}c7?P<?+4_O*1O
zFov^qeVd^keqMC*ELP@66A2<L{ZI{wjft1s1t=%=9<bkez#o^QLQ|y7FIJXF8Zq>}
znSLiX#z1*rG}fh-D}fC?BUR(ufLfUJP;w+ECwH{c;`22MoP;81*`p?#d7vKZ<b_$*
zZ2Q$&;U@fxAB>yElcEt^Ki2~aRj{SSi&ZK039Ow7Fn$b@&mNI)zm!ekougI)`Nwa9
zjijrZK|3wrd^CIByZ~FswaBc1nf7FQVw0rj!w#cfvrJqMkksT*iB)SlJ4MONEaJhf
z@KU58Y+rzLz@e=h)PjlZmNCGq^M7-V11LYijt!bq+geW;`&$5TK(mUZ83L%Gr5am3
zP}yizS!6~0`Tp|R-@z15?L0j0h_25GTsIbv1U)A`Lb}Bm>Q(D+OH`4tXaskS*jSO9
zU(gg+^Onz#$39gA7_LizM1`Am2-sgtz!`-58vVEd@IYUXsn;TQ8^|Vs3w?~%ii(P$
zWSK4Cvs-NiG9e=Qp6$bgQp^jB!j%wQS6-iIFz>yR=O|gZro2lkg1~#VOPH@_Z-PVB
z8(_rd%ie#GdAKk*c(J6d{lN8P8G3fCaFhlTF*vkpMGRYgp|z3O04fVP1fYN;x8X&K
z&BT~C^KF~^3=XrbyyMoD*8qAn7xo$-*r1rFa8wL#UpxQ+deg~@5cT|Kx+VQHua8XO
z5c+*mm1{Rk6>!3**OxWqIQ`LS0cJ8z^KsbY;uW7~oh?Yiu64~)cC<neNGtpUr{ZNF
z+w;WGUDAkmL30J@H(s1m_#9R@K>Rcc0K`;_RDQ1uxX%I?qatA62a$V%c`e`$iUFV^
zU{+GhlBxotu}o_F*~?=7Akq2*V`PYkigY^i#nzPsjp(ieD9YD#`qvZ_!my>S_B>~x
z2WCsKx(y-V#+Wh&MGVl#lxLu9XG;yhTI7=dpxYRCe0O=kX|ot-a&)mbQPx`FQ47pP
zz!GJ<RIgI!1N0Y(0h!OATZ4i1vidC^OCxArYhw*+4a3d=o~%blhQ9kLW4*2FPP=r9
zZnc%0CtuI=^auO~=*}t~Gg<^5MEeq%jk<xqhGtM+mtnM%t6wE3ZoTr10!YxUE?`--
z-0jnQHD>~6Wb0cPaIP)?QX>OR)!Vl<#WR=ObGFDXo#ae<z~BW$w1a~T3&;IQ#2p5<
z3NYZ!lh_$a-QlImCkh)~`zT}(NT-xNNa(WI#&8KP*x^hGG47P*k=~ume)+-;pdqK1
z|2;|TPMi2UyJnHilzqCY={3B<qrNfc3e#2;#hsripGvfXfWhCNWN)FU2rhEFFc6FE
zL2-)LL+4J}1a5YqoI=Q*`hkX^(d5pKQw5GjL%V#PhU(_f@so=J$w`(Ec2RZUBF%*=
zzq~UMpvtBmgLb$q-sA4VJgfPmtk<u+pQAe$7b@BK&5up~ORdo-FI*v0G&}!JrGrnb
zO@ZP|`aBq8U!}jogFSGER5TTdqkL?rhj<;h1iQn3W?6$^IE@y$c<|?{KC=|JpBWfm
z&4FYSTWwn~GN~k}a4=PXE6)GH?O#3ohiy$;j0l^%w5UpwRVP>g%Q5tjXg`STw0~-{
zNo~;NQQhN;vLArzC)i;_c1~5tSKmGfpNK_`%X@QzfJrz3rbk^T?-IG}$vn#4Eo?rQ
zXw?*h=7Os!tN-om?`|r8tAEl2eUeV91MYc+pA388U{eKlJ=G#je)usotj&m*_V0(U
zKL#qXNzzx)HQA`>6{h>+I_-c>2vE`Jgkq(6+1|(??hfTScm9BTapf$dfP2l6)K**_
z<30&JDqX9)mgP0ERpuQ8^P>{>gur;t)WkdWBCzIT!rPzXb|G9y?MD^UCUT7q1)^ZJ
zT$oV2XpL7SKxrU0+jxS23Fue_UC+T4_t;Kh0%A($hNf5OqbhdEcg$vB>07sY9qRv&
z9dr3d0|5e;gq^-z$Yg<9*a_pN&;4Ny!52aSZ(iyjRYr}xl)Xq2{^0oQ;Kpc=EoI9Y
z@cbxgn3PfK92gf!9macx5c8@q4)|Q00h@)FJN-Y14y*(eDyED3TT3D;veR#2x|6A{
zFXcs%LMoY!4b)I~@^ag}g%b$P$4vlx^$`CaI58E5Pq-+4ew=2P3(wWk05F<<K7E3J
zFXN%h9@n}VBx~FK$-JZrBV4Ga@I>7gBy_zD0VcveD*8rO;8PDg+pi4MLCE<mqU}pF
z#0UeD2NrPj7)*=IRi%xfngFfun(+w{EvGamwhksa0X#QOiFQZ-qmH09(90{EfNl_}
zI^&afh(BJ~$XuEhzNXiUu8$J>CDu@M!$_yNKQenJb4r3oG}xxc3&U7SFw&<q;u+3Q
zT?DKbU`Byx{)3RVMo8F5K<#axExj&=Z~;CpFbf8Ds5QEt`udjhNilO6)Mcs=Zcs`=
zK%r~ToK3bv2d1h&t3ls+t?<@m##eN{#x{%+)kpo?$A$@0ym0IPf(080wZMA+V(7yo
zmK~4=n;y8BG4hB^=ntSId{Nw@h-#RVladBMVT|Z?y`v*kEByJT0_-#y$+n}!8zza-
z6Br54>^M9qKWGY4<YVjb?ZM5+HRbeg)*g6Zfv9#xO9H^hLahe~pm@~dynd=HB7Z3X
z$>g-G-PP9J?mX$CpApZtd{(j-Or<}18@I5(W6>R=Hl)rE5<1dp(42bMQI;4z6sCbh
zjYV;ff3?!&#hunlVCf;R)_X+<;T0Zb(ylE9zE#kg#nC{Z$cTknF%de0JC&XwZ-6Nx
zbdaxPVQ15`fP8}LSICR~wGK?_;K;4PS2w!$gXoIa>#N{tdTvFl6{b@;zIfD#U=79B
zX~PUW1T(OKtKv(>$f?}L$hA}`Af4gSE;f#Ke7q`$&i}EqDoQ=ZdBd}VQ{r*l6kChm
zIoT@q4-oYiTYOq@;{01=#??!?UiT+sYIFMlI{lqQ;`wpD<t4Ye3e~6P$GI2+Q2v~J
zf(iZ1JJU@sG`hyNe#w0K>A6v4j_JyV381(JX3@`aTAl#9J@<qF6saQd_<%K^=nEKw
z1iY@L;E4$ho%5~EV)~%~K22~c`hZf&>HKc)UTx>o7*YrgB>b05YJ=-u|5#^KWX?#c
zT(j%ZLl#o(<l0z4aozU5<BV=Hvq-{snZ0sTxmbG3pGg|5qQOj3biWFBA?UAYu;HLN
z$yZ5(T=r%9%Q}%H&6tw-e3-W$qNQV>MI8(WBqO)?-<p>UMKN1XgV!*VOy$w~`F4-Y
zGmC6De8GmO#C28nN^8R)%6gxChZB(Vi+=3Tfc)Dh<Q;j1;i#K0TH!RFA2VSf;Uph>
zz!@0!f#lnJzX^-!Lh~e@jXQ$*h3%%C>SOtN$jwDiX4K*wtBGuHcsMleg<4d&Wyu!m
z+P*-^gWFX*F)pUku+HaCkfZgzik-2mv#ow*3VGo%PmN!=y{Z(p-|Uw~Tk(1Tf*nRz
zv~>u>c3@d);fm^r*U^2Yj1{4dK!c@RW+;xI0j1V_TpM!8K4aL+?XwovxhYL6F-)1G
z%?mkd&zsm`HTkUc(PcZ`tsIL!Jj=MvDxNi)or}@p*5V}-f&ox^Vu-U`lmiA%>85t8
zj@L&^+B-c}nIKNe<^A9aTK9bAJQkoSY1!2MXpj|>fZJYe-3AzbF_eCS?mAFJqGg6i
zz+Y=AEqQ&evvb?)?kM0O?jlhu6bu!1tEl>*@KMb<!%Tolr`dsJZ}GHqli_}3P|s`C
zsz0mzM}^vlhzhBoMGc_p?v3tPInxA9a8obgz$S^bng+%0zi~cj?%cu;E1a|EHJc9p
zab{AYp8aK_9ubc<ldO>KL5@0AAR^B5VREjng)r`;rBVt(JUz~ULYZjj_>ZSw)_CjW
z>x{5m)qH25R6domN~AMj%M>UKRf1Ek0SAbK6EwZ>xM-(J<%J*j>~~7E;(607nHN#L
zvPbMP3B@RNrsd=`Gs>;tib>a_)H8_J<kyy1{5cb*&F~xq_li(%(Pwiq^pRQ`t5>r^
zdwG8AJWCq$Cfo@CfPph4(-0wGAv_8fRFJ5o`iY(7R0uuKh;n<V!@p!Dwu|^(Psg{)
zyUt>0|4>VRBSqhrmq>-2d>wxx5Ar}sHqJ>mjpzN`xDNO9%kJoTtyuVos1teqIikja
zm#}0L0DM}13a={K8Wh{(ubH-}>S2rt`gZKU*C4ZB&Fl-M<1Qp(GYL&~r+)F&o2w|Q
zY*+rqyeLpvKXu^25oOeU+PK$qd49Nmn#X=~`BjY*B0eBTL18SVmuAfWRMohjPk0|%
zvg~X%-)MbFzh$eOrEkzuq(0|63a^auP0)%Q%{oYeLb^BvTBNCSf<&j~ywgScYL#8F
zNjvS&k7w*mO}{`)xO3ADy(PM?+3eY>=bP^uiI^<e=IU939sO{gU&)R-eTH9S-us;8
zoBW(zDOO>C=Lk_3)7e%32DLVd@XHjDRxHz?<EKi2YO;V&^B)_lnQ|HfYL^%J(3yak
z-{3Z{BG#iaPpibj9x0le_(>YO&&#Oe&2?qodC!#jGmp{ItnIX|KzJ?_`4a>T9T^b7
z(?F)Bc%4aW`)zke)2y^t4cd7;Ku`KT%M;*aKT>&dm>u8>*p_Hke`&y{(<&I;>!CNR
zmZ_q{K6J1wve^1vxajaOhZ-}eQFaZqbUrEC`y%(+Bq`vcRqB-n2-}YUI~dwSCWL13
zneE}6%X|#<2Xaj*sn7RM_!hCW3N&V$ljQkzHVbJhHUF4W1O{ZCeq;Ba&q&pS`d?em
zZy7I~$jmBoMDOX~E5qxd;(D;{SWIMr-D;?6Mw_s-(fFkaTqFx;HIrL^rT?l!;>WDK
zCnUvcD`7~Wh$oU-OL#*w%Qa#Fad<4!Y{r_W^!m%X?By@^Jl()-v%xsO+C+XY_m3QZ
zlo*p6e3QfxAI?iY!z2~RrcxQX&m5Mzxwk}j`~cN+7bV{;O)c+=Q$^dBYZtr+7+iUP
zj;eM)<+BsP^m?K<d;Q_l)PnrtSh;(Q3=UW5cO>O#7Py-l(}5=iB{j}s#ayQij61l4
z_)X~sRO&+>_p8;@O`{w|xg_o|lZXma1a?t;X#dgu(L+T=M*F|Pkzd^)#=WWZN@<IT
zV&`V0QG&ID|B(=ZY7LM4p3S%y?Lo#)kJN!$t3c<t&bGT8Gj40vsH!E$4MN3MqIT39
z#M)v#Ut`=6!4dN7{$I@zpTkd|*P+RLj_U-cuz&tA8GlZV(WmiYP%kl^xfvNyds;1h
zZ}`ze_)dF{1*bQj*5_yt7LDc)=kLd*pm-cm9s||GG~3XXu#LY59(E>kz0%LIp~@>Z
zV~3^EMiCL2mRC3?rdYMuZqD#FreuZnUxrESbFKS9Gp5I%8rx+E-RZv{-|8yt)e8li
zwXp|`2NSqO?nvxYp573Idy<~YfD>-hso{!{-y6qGt@(54FG`5&2b-F)F-5EIaiDG%
z4HN_n&j4h6aTDwcTy`4y=qvVqTmxi0QZf4ct%2w)m5pBuR|NM~N7M8@VJVVw8YlOD
zAs%wp3odjX!tg2EgDG{Ib=n#g#`+<Iqu)M5`Bm&NQYFiBJAE=a9PZ?%zot&+)64&I
zCDjE{ri-U{sSZ{x#gkwYP5qtG7MfMO9-aeBklZe;oBx!|$)3Mj$da>4$tD;%pXEZx
zbqk5Gu)NmIk71CFoHs$UhHvXx3-h^!JZq&Cg?I(Xd)*(TNLFyzHx~+JJ&2t>-cOQf
z&{Bc2d|Ax*n$3P@E=r#XMq0fi#$_^JbxgxV?p1|M887AU%_qC{YMCGV*7F|OU;P%5
z3t~Cmky0}FotB$!>YaXj&Tx5Z&w7;j!*MLY4%thAsbiTbh$|7wg1NGxvgAA0Z3hh#
zg>KOGc9IG~3$Upy3i$ck4N(yWgt;#K38YXx#X<g5s9kf!UvIx-(5ZbsFV>G+MFJzu
zc7v4wie-In7}$!=-=Tzv)#SSGc#cE0-fJv>UqCpT^??a;SyfkzwD_SlNh_mljL&sZ
z`K%32OVA6>6=`we`~DKgbZBOOpX=_w4NT_h)$6~;F8!dHO9q)K<}g?$^RzEgIGm8S
zMlR=)tT&pM>~=-VIe$vkzNBR#2&-W{U~IJbqkyBXY0Jq#JKd;QgW58dE~!9e<ISOM
zZuzlm|7w}^+@RARe5T67%STo4<fe}U=^f;0|2{1()oCB%mz1b+e`2VOvdB`rMI;EP
zly0YwRKs9z&C-6O_43tdVP3)W>J}KBFF(7{dBkuzeAxJuYU(twIGs73U(~abbj4%#
z;R76db|4sN0s)kno$!^j>B<;uKqxgaU%bP^g&PWvT?O6i3@+q;#JunQI<J>CX8)Fm
z3$8B@6>6l}<q6k$Ycv^Mudy!K(53Px6DFcB|B&Xwh2`~Y-K)U8CKm9x5j`u*JYW2j
z9Ob#E-QN}U+ehqf73*Ozz5*qwb~PweeSm_ow}w5h(e$8ghF@dqw)^ao?g77idHyG_
ztn3B1JgVLx%LtiOM{#80b;`WcM?~8>P-0b33?<Wh1d;8HEsy8OCNdJ*P@EDKFlbE&
zTPG;%R=Uq5>OCwM$WjhRb^ZGu9*PK4_8Uri!ih)DY7yeF&@9@nxIGfjtyVp#fx!|*
zmykT6Aet?@Xz%DdD^4Bx95}L7@czNV1ZjI9errK2F>*x5O10qgzu`axk8U@Fhi9_F
zf8Q(&Qz306>OJkz0#BRWQ(5?-Ns@J+Wmey0y{Z2C1zN~d2Z{M}o_z=g{q(Wdb0Tus
zvI1XI#+s%fn)cow5;R#@^^&Lhr;~gJiC>!o3Ymgesv$@Ym?CWW7rfTPPc^oxTMcmd
zqqZf_JW*vk4aPdJpPXr~PrUTfM>IHb39>rhI34ACovR%(X_9yp^^5)5j#alb2!6do
z0VKh*Q`AI{>S8Q$cG?%ZF$!s^liqq`^gT+-=VI;bR=%PG<MN{f^MFsrdKDU&EQ^b|
z?Ukw1n*;HANd)IJ&`kG5pFUFTp}|OV5IjB2=zuEBcBavSQ6oj1?G18%Y#g)g(z?@Y
ze3e`3C?!$H|DKj0iVfYk-mKGTdGD90iT#VsR-HNDx{J=fFm7l+YI}X&tYIc-ieG$`
z350K<Wb@U3LdD*B@!KwxDeY)YGO2yE<rvuQrcAq2`89OsRIv-O=e`*?w<Rg{+*r#y
zubH7yEA_Bc5S2m3vkwNl5wp)FIA5_i#Atrfy{PxDltd}P1lnF3=TkG8k}GK@><Zh1
zsK$Q08t2>nX9ss8+meWIFFGy(^q@mU%%Sx}rXna)K2Q?{z}7XZejDHG(YfH}d;g~z
z6*{Vpd16MDRx4NGa(!Ei&xe1jmo$jOO=U0L&3napkT*qG=tW!?)9+^D;W(77Z!&S3
z*4d{0-T6vnSUj`tYM$_Q<lqJ#K31dmO6=?oFE{FlUgN{qpe%Ae4mDeG9|{3)t!-<^
zQa;XzgHDJcCrAFxQ{0RUMy7knICuZHJP50rhhQ1^#j~vGFi51Te>@JD9@0iHYx?^1
zZ{hm4;{<9bP|tSI<7zBcVjd-}6ID5UdMZEjKHA~*$6DunZuCJzzh4yi-22QycCy99
zQ=2x>$ntvN*=wVVK9-3|*F}G88Z+#|=jw88<U^dm!k^*~cefHD!!8p7<cCkA{Cg8w
zeSc_|$~v(^Apd!&DiF|QBa^4MFZ(eBhk2=i>-XJue~jI3rnbk8z-Q6ai4kPU1wSaB
zB7EnRT)m?2lp#ZpYl-7qbX$FqOqSDD*0#rI5A?Rw6vlpMKb=}G58cfC`{9WH&6{qO
zi{%#)n+@;U86`K&Yd?>9WDt3s*hF(bo(HMVgjd^!ypzImj@HOfZ6a>I70$Z;H{Wcs
zG4Fs~ke>=oTOc7R8PwEJ<8gebc3bCsc{Y4#<LgI#x9kBVLx<)EtM=WQpS%;#emn5|
znf($QJVrk)N0M8xko*4|kB|wj_F#M9tJ0fJQR;v%B@#~Rm0*nS@=QW@_uu7nCN1^s
zSj#s-(kxg0v9--v<7U~3R;}HVaCO?u$J4NQ|7GYCa^LYvgXI-LUANqAwsHK~2(l;a
z#C%_5&;6p0M1gbi(XQvpYa{UomgCpI%2e)@Tkel{9ac)wkLB)-+dVS$6h1CGYV~NW
zcmpW{&znrp)*K?S{T=qQH?_Q9z=g3+t%f7EM7zFZCIb+G>zY(L-bCj&u^*jxDp3>f
z+4Go$67k;*<9CD+@Vi<z$mL71H8bhlDUp4Yc%`03iy-PNxITBj`1qwtI}KqUzK{$<
z9(5pVz$Y`(_xzb;-N{RC9r2m<&+@HL$B_~z#|K;NmXW3#(_1MOpM={fOfL_?3WdlR
z+eS`qiBRoFczz$RbJaoHsQlC8X8Y6iACySj9M<*&uTTZ#$}*LxSG>L6Au4lCHXL1F
zlP(<xwe7lj!M_F1MAPn4G@)lm5@=94SZH~6-+v6_<+uN*wRwJ;BePw%SwUkR%cSe+
zu~_N2H}1o^QQ-;q>+O5~H}DQSeGsLL{+=+RZ1v(rw;s7$oRX;)1hKXAo>U(qX_?_j
zzR==>P?%rBifE;8{jBf*NMR4V4Nc+vtE5W-rqdp(y}>%qxh?UKXQB1WbF}o4y`AdU
z<BPjaytI^RSA#Jp?pyufKb#IvKRzoe4jX(nqCbBeE8%4~7ByV&!^e*juz&a(VMwW>
z_4~P`=^iR9U+NyJIb6p5xQSDk#7_``^1CjqIUP+d@vmfTWh^I!FVkJ+g+HRHevy3(
zgo6`GnDo6s6aKW9DNoge+l>3VXD-T~rOxZ=d~=NFdYOC6g)x$IXBjfwm*Lmu5+nbP
zi%Y7Gm7eu+b}hAKsZQl~`r+E6s{arVvQ0RD{pfqrYpKSh5SROF=TnZ%j?xUt<Cog(
zMx(^kNEO8>;(v5XRASF6G&U;^gv{=|9&H3!sam-RC#4a1<=9O5`TocVf`a&diegPg
z*hbK=n@>N*?ck^kzV8~$;2~7R+0ZJx9$CAN=`F6my3+ayAN-h?5F5$NHX8v$tN4+f
zJ(2(3yPi2AGCCqQ@^+hkq`7f_sdI52In}3xjfI7yIX<>%F(x*ehSSR0D)r|6?E629
zJ8r_%hR1-6{>O`zQzcWP+55w=m7{l@=AZbIau!!i`W*ww>MCYz-uDOZh0--ul~?1v
zV-}77fIK-{b)8w_^Oprq^*J#{={?@RP79pR1Tbi$x__%4ZQnj22H5gC-5R>dDk(_^
z))d{zc`b|c=8P1Lh%DtDe5PW}EwVMFutjC^d6UWS=@RW=6M?@+yEB}GfE-r%;PucJ
z7<cOEWxG<Ja%N#`8x|OxomQg8n3AQHnp)U!p0s!}hKcfgW~3phprdn`Si*ll_w!l>
z4(ZL_@rJxV#d4g(^<mCRR0*R}wg`$G<HdRR0`XYWQsrhRX@|H%$@1m*0cBsNng^HD
zjO)w2j=L42TgvFIXeV{z^|0#pXVTUd-=Zu9Ssikvtya#I`pv1y2WI~=uFh17z@4Yc
zRvb<kA);#TAK1a0l#zWLHur1$Tjvpe&TQt3UM?Z;-V>frRt&rreVZk*B`)Ur!!15B
zK3-|?dcK@G@7iW;VqllH2K^PE)nT%XjE#WtRj<-WL%sW`g%NrC;@8IZ-z6<Yx}^<f
zEAqBR)G{hZnLZ3U*@brqeEBjirfN;)u9I;=Vf>d5-!zQO4I2qlZEy4^P((yT?zsGY
z@(Nf~tdpdBQ$8(9T;kxP`9dATJRMEDbq#thDd?Pp<XDVG75>TIj+sU1hEK><#5w*s
zyHUsAo{AyUi2GWaQhr#$(}nEZFE3cORXVH?dvk}4lk@)d&)nBCY^T{FA%tBJS=o>a
z#opi2(o$p@;^Sh^6E1p$vkmtXg!g%&j)>UHgVr`S7pF+sBJ-2=BK_0T96H|ljg5tk
zg_8?2E3>ni1DNj?-S!=_BZTfnBJuFQw(HM@W5Hf%tajL9dh!v7JSN2pw{q%gh#hhU
z6f-9C^o~UPb#Y8C{O~4x_wL>3Bf({|;hb)>XI)0dhBQ+XMGTA!4RyDOBNTeu!WUv5
zmw@$^VldzD9VGiXdAW6nKU%kKW0TUKj3qZFFRRie0_hewe|Uq><ME#L^emr;Uh>P^
zouj>p+l}{Ej-TrqSPu^g_i`FC-X695`J<<y({Ry@06!tB2reZ#%*0O*pK{KiX`8Z-
ztfmw~e9zqlwqN-@Ih>AaNxJ>H#We$ZL_3!SdhS>yd8<RdSETT8e57yrKzn|LMU>RU
z+vwRMaFdvpCZntPa2!@MRDUcqTyDyqaWnZXcyV0f=nXqttH5j3tOzbxM|6aX(s-`U
zjo!M8X%0CLFN)icnbBE?Rps%MkFgQ2w4Kb~O8SWZJ0-Z=5p{FZOc=nCMO`ZA%&V(2
z`O?DE^p#-pdy01kF$&8%%Wqb-iXP;v$};_Jc^^jU&_<HK)G(3hjR*J(S40gsJZ#~4
za|xAck;|MZP0<PqMb19g#l-ew-J<O~fqW?<0pHb`<m9ObcDBW%)TSRC$;wKxq<asR
zL(i!su;|{ac{v}+7)BiBtww@tln7HHey>n6KGV|Kle0NiDQjg)xm9_PXnToj_qZ<D
zU#+JoMPK^m^0~5Vc7r=O;3jn&Ya_8@=69%Wf6YhsH>XZ0Ck~nPe|j`W{kt!$-h{!8
zav!9Z@Bf~Ggcy4r1zoy8YAe{{hx69_!MowZV0|NK4)?hH$xGJTwKCA>mli+e#F+2e
za>_`(lPuet%-!$vfJSwE66ns`2_A)DYGF}t*!3p4<h8dz;1jp^BVMnUXxu^n4}~&x
z8_wUG2QJCCTaFIG?n07oLq)m|a30UWV?vBS_XP@`%PyD(5>gVd_Q(AFa?Ru)Kk*J0
zH5i8x+(b|jA05$b-0Kh)nFbTC?ti@>R*M~`z+p+@$M_Bf>&~=lY<ai38IDW*&dPfF
zdNe*N`88u|$Vhzz)A3eRlKV{vF5dp-Y9*;!1s47l#q?y=MYB0Y__x{n9nraHGQWeL
zr*xzF@E1xmqkm%5&{IiU;-d6cM$3)8gNO0>>Nca@P#G1y78n1l85~AAJfF0&-6zxi
zM!`RrF81EO^>MwuahV<2UpUcsQIj|@+L_pjmSr_6eTz~s3wG>JZ)#`bm-xoRyd8cQ
zu%6K~Wo;5GPBM9X1&=9j$KZSDuBc*3M#pz%WOg|$rVo=tx^ym^EaS^OV=n7~?50Nc
zN8fnx<sT$qR`i4aCi}LSQfuaFyKib{Cg0JZEKps2#fG%hq?B%+H=UQ!(SwRK-?YJM
za`)Qj$$L06&GGB83s02C*N}i`MYd`?6sMM^#!ZE-b<B9YKGczT!3vy-cs0hPG}dzn
zOHJW3r?uzf7Bz9xb+@$7v%sh4GPsGa^W2){WDK|S3DHan#3?MY!%qjsX7(eUC-`Dh
z4PhpBF|;h-pkN)*dYOtsq(88*v!|fr&nN1KmQOF(Hts?%`-|`iJdu)Cd|65D07q0u
zi;(AcY(H|`v*oA#^s=D6bnY>cJCFEx*ZJqsF$;HYBaBn>Vq)B~=#o4&g?bH!m-D+3
zMqj%Sew}=!TB8gb!Y5$gZxj37vU2&O+^~*29&02dF!>}Ed4VZ8EaP!#NET^Fj+KS|
z$+4$d!HAkEK|qI*si-)=-eHaN4uJtze4yI>9=_Opr$rL+RL`f(ZMzB8)%{-KwZUg~
zE_(I%n9+FeM^lS_Y+c^3+mu-S#)TyzVe@+!PjFh%;fq!L#7MVW9QQ?jW|>hqe`Lj#
zO$|IM>Ur8r(j?lQPgwZhsdkC?7Sf?!?Q%>`(cyHpKW!Cq(KDw}F1U$O^e0H18IN3T
zRO|P@ua5c=>GEGVUwYuv#QlEf(2!9~BEa)B?)K?oUW<5?bU)yJhd6AmD>(UKm3(A$
z7+3dkhf~ky6bXTmw*PtSf*lEIpw}Ry+FHZq=z^K2s_t8WXwQS!oTa1pc-76nK{mZ-
zG*$@G^ItR`p4anz1D3*$z1I?$N&kidE{&`V-F4}{$&ivT`wf_9=@CkWgj{5#CCI4A
zj<lS9^GbT3sQLNw*3CbT3|r?@;Ew2wF~)}zGXXtLHkOq4n1lLDDL41hl^g}`-;j|n
zFQ%ssukMDhV#a(D6E%0G!(%*EQaC;u20HjZ;lCruUv$2{;CH#|jEcX$dwr?q{p;#=
z016E~y+YVdW8-7gj+VLxJIC^H;B{<S#M*3{pNAa9^>ua4#|}OIMoxq`P<{(Ar+X%P
z#ImV;q2f%;w_li=Pj~m$6vc-8RveDTXG{vs>jq+Cbb0;zt_8mE3iP-jU3_}>GAo~d
zn&ve9D6s+m)tdj3%;OFo3wN9TdehV_A7x5;#SP0JzG<F^3l9F8iE+@<(lP_{tDuLb
zgW=8J=lIxKk@9@Uo29>c@7kK>0vNZ?wBBx_KqJt=(OKfV5XmMIO@z(q%e}G<D4{a<
z*$_iL;dABBNzayi75E)BsL2QAG^v(J?!B4!rs49*2~V=tTh;8^T;FtXZwq<L#Ri2X
ze!Q%y-2esI7n)5EXIr&oi2iZS#aA73`!&=RtKWD$v}7y^C}U`E5{maOPDLvD?7l?p
zZ!&W3l2-S>5sM9|UBpBG=e?~d1UWeTjKzc?=&R?q5sTFRN@p=SUT+y{#dWeg2B#an
z&1UD%g`=rcC*<MjVETFyvtsM<F?mon<Xymx=Xroj7=GrR+s@Eda>d^Q0ms%=1tThc
z&ynxDUvLwG6r4gcDh}dEpEAfA6Y%kMwadh*A{n$!OH>9@@!qfB%s%YVKixL}G!MAH
zYFdKhau_uJ^c?H8k~h9-;vWN*^P@GgV!*ABFkTo6W*<h)HVW>p^o*Cj`7~<SPgf2R
z&%p`uIEUlG8*oY5=~Z+TGH`^u+vP!+dp$fm+u7D9rtwFGiK)80T%++HdxBf%(&Naw
zii%1M7B*O~2?+`2O56QXKeDo%0`3XtJ;Uc9U&)*x8Cq;}*cE+b><EH?C18e%4w-BN
zJxrH-iM)P=L}opP)Of2cw&3>kzICeeqTatGUG}~|1h2(zIbCW$WEW1Aa<&Z>-}NCO
zQL7{i7v=4~b2J>zxvKR1(uBm}QnD;2rqZQ;=#{3{!l?WXYr}$(k<rW&DdTnGJN&8X
zDTjFSGq4waLaMB+>@$8of3Vqs)XtF~+Va+~Db37U8MO^6BQ91Vkk^g6A|%B8j>vSC
zggqr-`WI|sVL?|=Xle3+`zOYGfm<7LqdiaD%F1dyq>UN`kwbrD5)vtBB_ojpC4W_x
zO{a)`#$Af55Q#7({2&P45#xL|bwj6j3-+nDyr!1xjyqR^*(TD_+|<}cHbR)xHAWx(
zKKza5!IPUO1`L|M@L$^%{v(u_t}}~a_!<ih3tF!Yl_`$*c<<xlca5w_u3Y6}DV=Ai
zprD8YB}Ijl@i#Sf*SSJo`F#`!NHkGVnF=A;%u3a$tg13w{&2iQ9>~*jHwT-`4yz1<
z4voU;Agy9s)>bR%E~gQf%D2(?i%h5!lKz#d4`=+ZZE6`h(W$xHpCZx~>;_jpPTtnB
zWvNd!VYfJ9PiUh$BvkDT+&PuXemfdYoRcSg3G>;~eYa)kNAHItPDnc;7&hAW%7?}1
z%_i7Reesm*G{w16@ktso$q<ORk#Rw80`iaOV&C{6t8JR+3ALxBdhL3rt$I`I!<tat
z&#5ef3qx&52aP`>QfGTa00aMHafWWxHzH)+kIcK1(Sw7YgAvn6J#xfNe;m#Y6_+z6
zgok8Jl2Hs_!;-Xy3Ch$arWS0avC=*mGmUA}TfV<~aA)XUvQV5%WtEYvEM8JYdW0;E
zuR@u@EHkQxtq?k2cxoz|GMmLqagn>3EIlbnQl9l^U5mMLujuCCfJH0F1q11Uo7d>~
z=67pKQ|K(Pe$#Vqq1mQ(&m?i}l907>P1Z>?vbXULXYGOBu#|#yxq4)Y^XozzmYB*?
zu8_B*4oh6^6NQSZuE!zBPxu*1Ma|THmVeCSvUme+k2sk6uJKvssz#zXH1y)yzQc}^
zQ0w?EB>j7(Fs?@hD3|{2Wgh!9kfltVvb6WS!#%MpcXbomJTl^R{?|gl-pbRv5OMk;
zGl692^B+C!2$e6oE3>?0gO|@#ug7K76pKFW!$F%P$l&iCtXZ8d1r06=cZEOcT7B@K
zLC!^~`f6d*q@ftErW_HYg|lwr@q8n=kFskQ>fJ2Ho0EFTII4;N{vug`nTEE(^SMs@
zu7mzVE4D&%e%`LRUV>h8T~<|EURH5hU3GI_esx-7ep+T@cXvD2>;T{rq<$HcPCsjh
zhlOPlG#U}{`iJ@ubAB6!OLkv(eeP0L_5i^)Z^KRPf*CIyD6+nAnwg$ml=8`*p5mOE
zWLKG-oLDJlzm$cx;UML&zV5u!-)wfr2WwKZM8+$uwz|x_pmx6CbykQx6HoM)FPdX$
zn_IgZHapvyQ^B>4%x2pIN)TyF3;g5ccZ{r9o%^5oa-DOOu2ZG@>S>QBYEa=C*yOW=
z%KYkr2Im)hhsS4^yC>(S2Rp{b#|g-ZKD8OVhV3N(n`^`CRCO|VDa`rWQV*4<{#AjA
zOLBTXKY7gu$_5IuPChdAi*v`t-bms==`?Sug#P}~(vqOT)=5!QbE*sh4O&M?C9{*$
z$7{Pv{SpJQChr3fum{w%=@Pw>6x0G*@)V=!*ym29Ehn|{fj{N_1NrY4lM0ip83?V0
ziWp>vWP^i)-|mt&#7sNi9fWMdswq!n_Z2{X)9uRF2$9NV{klu~Gv8o%cdi$p8@1YN
zYmP(ZMVx{${+sPY0o=N5Flysc8?2joZg1!zMrI!L5?V+emaNhcBTUVTFx8#LspZK@
z&4p1J18og4YavM!C233J@W|ALsTqlJ2~<Rc3kNh=6&`H12Enpt<+F7UczCxn=V#@~
z)5Y!(eDG{8+WZ4i`cOjG&z}hnGa<C*RHS$DfQFP^Oj%J%){@Cjp9*iop*+K>q{e&M
z-S_rhGXZZ-E76rpz4NW3yOn03g?nhS#5hW-Y&=_f>TuopjgaQdTCZ*1^fn7Dgtr=|
z{3lcojK6>KZUD;=L-8<eaUWCB&>($Yu6cUS2hD}~y`Kqr5ouLf5x<k;YcjTGh1!}K
zRr@i<2c7Y~YsFvn!SIUVjc08|5%Hy-ZWcoG!b1pZ*f-{a9&foXMwq=NKhw48NK7CN
z9Dt&ngOwdap=%c}Vgq;L-feC;^b%L0OhFkO+Y){k55E}h|A>p-e7|crQ-4cX-kg*q
z5vjt^NI$tETd-r{*eg5`7Fh4|f&e%@Jq6~t@$zzE9^`XGq$08JDk=BWu$Sl6X_C-q
zZ?N0xG_JEG>lG>w^gRa!)nFk@<ZB49B%=zx?$s%Y_z?*z4jj5{2lAsCEG?as^mLXn
zO9Fw{`o-kAv&+9h*>bJb<=kbjyPP)$4v6iBu$8~|*lftZ{QT^m;s2@-n%7OWELr&2
z^KUDzKL`u`L_=%wZSaTl^7!|}{&=9rh>CiReKY8cXbxwu208k5m4da!;O+5bNpf}B
zj5c!WgN)b$`|1_JD?aP%ZWFJ%W5Y?PlBf0tJO!1d@HmC=Bqa{(+L1URqIPOAL{cbd
zgEynSqpzvpd(5Jaeh>5y(j%ds+LfX&x@Y6nWyLDl)Xyd`rV{7X3>2|=KLWmqy&?sT
zD0G6J%ks@%(#NDQ-QM5w3<#(W2Rl2$tiC6@)1c9v{I_1IeLIT~HuXE58TI2a!#5Z~
zK^Pc+nB?7^-XD#8Js6LR)*_GEI)ul;NvmbfY?=PeN5y7XT3YXh@D68IW>R|EKQmc^
z=Ik9RX_Muj%lAt(xxvyjjWM*S=a8#&M?05l1HJ({yva!p6YO5rvwl!4d=(3bc(o)G
zEGnR)o1^*PaZ({Dt#!Xw0B45r+n7ZpA!TW$!!NeYfGtw_O4iLmb*~i){EIdmPoT==
z1}XpZ!#Q|Z8?Y!x?^w#s{6invqszHYEyy>okJEIZ)sdSBy?2}SsGoJOn=O5GBrMtz
zq@UWvqQja(UV}!75DFz-R<Bn$E)jzg^!0+)blGvx)MyW3QIn7+R^z$ruBhNJVqf^#
z9rN&~KamnUo)eqx{B~8pr%fnydb_*Obbg>yjBw=TVdMa}nVDN0i{R-+a7v(eHr`hw
zs^G&{z)LF;5uvxXXSlJgzxUO4&)Cwypu6=Ng@K)>B$q*9GA3q1Sy833SR}VbM}U~;
z0~bv)5(2xQuPf|V_S{YxH-~C6ZZ)BEmwFxzo;i(A3o9u(O-!=7GY4v7PJAH;bSjfr
z0|n;n?fUWy-u%^$dQ-#wnKR~)2;ba|I=~k=1CJoanzASD5+-_w+6I%KLb+#UCN8iM
z;5x2|=}6DfQ2L2J=jNtM^De;J*4n~SGO{8uF7drq-1{-C!)_K4&Dd{5jTyLJ_hYd}
z9v&W+mOMk3l4)8-N|rhshtVpwOvRcL0J4>%A-F`y(5Ul4;^!E_5i|$R`i<g5g*4RE
z58q~lFTEV2D}LU&?H4&#rUoi<3YUA*U2tcb5?T-~dL_%ddREqK@O(a*UHlPnQ-7g4
zkmh8J8YA+eudZ53FKIBntG7%8Z&gC6qqd^1Go!3AK~hp!!@_yyP<`QC9gOVK{XkBj
zr*iQ?@W{W;r37Cg!rMcV-ApYeEqjqMTp?iNt2)I#c1_4YQjlw-sH|+dVpVMYHH`-$
zguxoCwW_LSLazpETtQ!Ajgarr)YSN^DP2YhD~~iLE+^!*rN<jg!osrp>SjH)Tmjhc
zw0|FzVp3MJ*2k{@SKXP%L)m@}d}cCbNtC6sXNeYTveVd=?4&|y(V*#3mh8qBDO)H-
z3<hIgi^rC-v`DroQl`Z|SwbOF@0l5%=l#5YyuW|n*QbBzzOVbbuj`z1opasS`JPi2
zeu6<mJydm`hwOhV7h%~m>e}yIAA7{R(w;M04=YDX(+u{)n<nnhJqkQ7?Ft7D?Up|A
z*~xjwl=EjNcdDBqoBS75C(3ENso_0f0(>Tow9fgz4i9Ep{ZKlxW}yux@DP%fJYkAj
z^SC3XaMm6Jdv1RgOynryMw}?vgJKdvAep}#A?EDkYdsX`zhMw4PR?|M<}Y0i71q*|
zr*|^1d7ifVtjA3I54b~ozsTYoXY{zZzjOBKjV7?t_|=mCewB!b5wg`Y>=G|G>p#zd
zi+oMp_op)>H`-#_2Y*TE4AaqOv<<x}L1P1pNc~aGzRV?Qe3B5|(4Qe<f&AWewA$H1
zdgI>j28g+IisIq@tn1C;_0XLE`4TxHoox1-ZW|9ID5EAa`_l3Z^uZ+3n@%7hzNp?%
zI#`I_XqUn)lJOreangwRAD!twBH43Y{~>LJX+zh|4+G-gM<z*a4D${i&H#;zQawJ}
zjEgW~D9D(-?Ns7hvZGDDVN5pp)%GryTnY1SjE-eA15N_Ur~ASQXK*j(=dVuMm@^-)
ztf}E(W#v=4Gyuu4lBVfW5u#TdH@A9zNE0(;+}P9%&I=?wTm<EVq|j>=KS^=%)+bLw
zH}5(2c<jU5^2SC7nY;OUdF^d&jezN*Wtc!h3qVg?FB?AzxqMdm<KUK{{$GxIQb>B|
zNi6mN?|@QzK0ZDjcV&e&{i_GJU#gVxm>+oo1!T)AD{qHQK7amPXw-0fWN0W79j&>N
zj4_4c=ih-01TZ#<g!%8)yOwqH^UtaX(`Wc3H<aeJwYDaU!O3@^b%>>&+g_JOgcxvX
z_T!&#EgV({0v9@!htegU4Ap+z|HME)g+8+Qok-R(fbs->X=Ty7+OS-t5Cpu8$<0du
zwsGwOGL!YHL_?^r>C@Pog^WqRhVn}D1|k#lSS?q7Dwj8T8ZvBuEzcp5NX^E%LV4#<
zA#RA9S4&Wh<>m)zBe=2`)Ab5RY1pml`PB6q>m)dVW-Ve7R^p4tMCrOPP_LB0&>rjo
zOwK7+L@OXkOQ*MZ2uY&6hTjYh`U9FJeWd;3-igd%D`7ufnpEQznXrlyu`VeF4&o<n
z0wj4dCtmCJ$y_ztEpzr4xu!zbwG)Hi%bw>q=8<o6^zGo_;3oA&Gr>bHw^CBx^yC=6
z>x$_T0M##uZ=ee>thUuCCKJ9_w)!hevu2MwQp!Gk`UK3xoZQ^p`llmfV-S<q3<=sy
zcfEQ=WZEfXPa0f+WR~8oB84@4N)t_<Iyzz3xoVH-mFVJHgPQEejHV^1yZz>V3EZ`1
zqXpn1h)@|OtZErRBz&&mlN`vxi)A5eMMPr6TceZZPEWwUJgm`vZF=w_kjnKtuEOa*
zlfy?!NaxUQf^K5c?$W(|po2vAsI!bwFlWNzPTZfq^{lsB><?tPkyUFTdk_#PRswe(
zJTMvk3B8+;DX*$p(B;syHaEwpX9C!{xVRV&oYyS$ydHI|#%_<i-r3nnje_B!_<xl)
zGc!B32s|Au7E8#1?8^Lm+9X8LiIT#C0*j20&ri`8W)$mXAG`Nkel_PW=-2Uo4|~C9
z(y|Tcrlz?7fj&^J1bL@EnfK=9wWvioDpNNkGYIdzTpO9Fjdt}u()vzt)_#|M@So*p
zN7RI;)5S}KZ5$oVbT!EwIPfEQ$=Rk_b$=O`!PZB2599#6Jg*S5K*O4kzDOPhI<}~&
z=!8I|PFDJ$t)`$%O@a3^yOb)a7``g#Zo8F$W>^S<I&w7DsP6rnAr^sIWqJ850e*gd
z*h`zFd`(yNeEISvX?*HS+f5f27iVW@US3|P)S0)ds0D_EcnHc24@1IT=L2<HZ!aKW
zDCY1>hieCrlxKi?O`K7tE~tn6)`&Dw^plk^jcNj}9R~*o-^pWFHn$~`bx+vaPks54
zeJrYjeXjInVdHJ+Sk|xAo-+a$*A4OjS3<{VvPv6nY-|ktX2t3xwUJ;zAZ=51(<)TE
zr$&JcIfEq|n*h@IU(XZvysT+zY6AE-@#0iiSXi=VGN8Y$g|fHvctt<8k2#dAoRfmK
z$_;0C0TV9&^#*y}Xa=%QQ5w@KmlhV_I2&RJp&9&3g+0~x#~WMq<f97~KayxXpxKa+
zeb;&iPjQp>)%5lCffse$LJ%jFzt2LjvZ7+QniqCxwhTtAwpJzPCpoE2sS3s2^{}Sq
zP}<(R1z90+#<&rNsn_9_I(YE7v9a;-<HYwlUXsa|iM@gbd~2M1e0)Mertxt>i|;Nf
z#)Zb13c7d+-#J?*6Yq0Mxi0dUvJHoz8d2j|jiYM=ddMkP^4mlnHF=*ERByiE>Uz{&
zuDiu2`QdzZYU-}K7Gw88%XIB)4wH|{JT4!-cFLq;R{V@by!LPY6d~BPps#n1DDuAS
zhBs}tNGYsUn`lo@k8t3(&`NPdLW=*SRB!g(t8qI{pSk1HJ8etd|8<^J$O=h!1V!k2
zN&x9@tkCtG-%9>=*4D(jf@1;L51Xc~WA72}X-lc!4~g?BoawcUQ#94N$1VHkO=WDg
zM(o}Fzb@nfcgRcP*QjflruK)b@q*vzvzzFKS#Lk)u?Tv#Rx>3w<J`jBoV=o9abckX
z{2V@<`&#w>`H1XNnRvH8R`MIep@3w*&eJ*-#q(m{eFZLPZzsBOOy_6q;{ImAk$E-w
zy3&oRD{*&l#8KBv$>mF~c|;=A!PW#cexq5;U2ZUAPvef$&Df_nJSiNZ>8daN-l(H5
z;)cPnHP&)h3^n3Z!{dWI8JVlbqUr1FDjwg8CfRWh?-8f8lY}<b)?QxDRbOUs8CF;H
zrZ<-0Wq0H#A^owI8R?=(2A5k0!Je-0(2$1&-Z$=m>&T|{H6Ot=upOiEEbf41B*O~B
zyx6mdWDFnU`^lIh+Jk(Uuo_J5HI=$Itv9>}JVFv2is6Xe_x`=?EfZ%~g~82;^=k%M
zrat_ANJ;4qZ(H`qm%asT2`n!X;(ZcU0(i4}R(QXZJkIjH8F!m*9T7}MPCy<3nTAvM
zqky1y4YElkv2|NkMR5oNSLa8{0o%8w4n@Jt@2RM>@#AuT(*51f@-rrGZ#g7iLgH*&
zTU%$U{H7=N<LzQeV2o~e%?&^6G46k7_%P}Ve8x0)bz)4lNOM6mkW>I2=v`Oz+_m&<
z$E|EN>SOT(6+G$n^Jg1nXNnWK)@@UG^UsBGNt63zXGw|=uZTn?wIKxT%%;s-vF`3)
z1C7cSVGHogVded7^dUv<AZ!`1JAJxaHQyx3e5ZqzRnp2m;h^t{VAsKh+1c5#Z{14f
znEd>R{$;hh<tDGqb^6e+@en4aj{udTezwV2SAvh9A9v{zjS0Orx|}lxM;a2E|7?st
z=cDGTE-hf=pYZ>dDXO}EpQfUVyStseeM8WyPm8H6wc2XNYLOx#E>6nKRx4C9BtHm@
z9*+nb&Gy=mgkO8iZEXz`(^mxD>R61c8oL)f$$$0#%pEkVc?1+QXEp7IhTfGcLifMU
z#24!=hE$X-NzA-k(DSJv)Y9ANK8i=7sr@~;!e~n1BP(s<W8HUX8%xVds6POQ{8O{*
zR#yC}4#p-XKbDsI%|n7bN=YOUCRhxB3>^g%m|(Z%LOA`^ku26WHWo&DkC*EYaIwo0
zQZar9l3r)2+<0A9TKXE+?^wvVF4UqWqZ;Vz7f`PLtsO~B<UDoi6o=L_Au)0L4`X1E
z+1c}AQvLRYJ2>AlNweIO(PzLizAl_I%;pzUHnYVfS$D{JsdxggO7Ta<e3jrfSEGbn
zT?&PwC@848!?21yQ{_rFi4>iCtM&H5FRB&Q+%H)en&M=DpV`(YdX5ISe`l#itOa7(
z{g0_?BWhFmHC_`?-~6x3muCW_%QW}w*;9XQHV^&8-ofGL{&38^zJ_GNb&UMFa@sSS
z_YVS7-N?CHeYQa?>4n;PRd5&o_8gaSsH<)X_OFLe-~MM{b@hJ0F;_1sCztRM#k}WQ
zMSN8AFHfD?81v0^<H;G@44=vkZnn2SdlumD-&^Gc=Ed3zWU{<m?t&oJM_H{Jki*n9
z%d(WnNOY`D>S1?YbRc!LLYfIe43;dO^@i{WLlkTW(R_xu7!`m+l0G`hHhc@)9{?+*
zf5c2denxhmwR#Hw_wqsDZ<5VsJW!N*3E1G@w&oe=p!$3#LkstLK&mvLq5iy(%xv)Z
z{1ny&tbuZ&K~#a4>mUUf;^#+SraW*5euHrDS|@lgucOMN43V@wkdH5i+ro?K!i@<;
z!3qksKtbWL5&^8kuYyB%^Ya(=M~oq}E;m47kb+t3%UhV38X)i9L5Lctu;{TDY}z5W
z^GuAH`s9cYp6e5QL#sRi6srptE)4NtAz1|qtIW<zvF8)G>og)B1hSY{QI!e~JECV2
zWZy<jAi`=koFev}Z7ZA~qQ8DXze!X2lIPag6`7YIudKY2d`UsGkb4FSZ?Q?PTP+b0
zZRCS+htQK?XN`0TyEe4z+g{rE4BPqDdnL#-ED8P`k}pP^Yus{5r%VWEuIk!(>W5ju
zUrSQ^7ENbN5+^bg8dWZDV}#^;Z_^!6Bs24AybiCw`P5SPD6i)4kIvx~A4<WXCwTSS
z#*4NcJ$DX(L}8aTVk298nPW9n7!l_|HuGrw9Ops)k4H1=%8cxy8vOeV)Xqo6Pl({h
z$GtEuh8qh79*+l`%|enl=cWtQL?Xgl<;D5R_V#w6pkqhOO3TV-<t8hF)r=m#jUFcs
zR+8XLHUinmxeKB&2-1FJ7d94+fQOu&lM`@vvzD|y#C}h4{K;GCGV$9If2Yy0(cfEF
zx5Y7|pi9zxTwq_%{i>B)BGYwZ8A(2?**>%p6PLlbyS2eXTU)1w>UUZ=jJM|*&E#hW
ziwd6(nF`$^G!ckeG}6U9%aZ9OX}BTj6Wzcjr{HrHa!{czcpl4P`2OZwmPlZQ2&M;j
zf_m?(iQF?IewG-0|43~O$wnppSlUZRA4ODzeY0c3iT_f1x_07o&GuveM(K*M@bwYH
z&uvU12D6L;tNGDDY7b)yY0<4XMDj`7;x^)H1oAT*%zZF_R>Z%zB|&6uqNcK$A&~Hb
z5wdXCGA?4rMwpL4nn2Tvlb?3|(=ulh-1UE@L*>%l04aQ#-PrhG`c^{IYZMNL3tAO*
z>V6l0lOx-&*4#jd{<;M1W(wtu%w2aCWYjVb;cb@Emzu559jf3}I<-_7I~K)kOlWj&
zUS4GeyF#}O{&du!QNP)+r#<X84D0Onqnl{_=1@pkg9Y66e{JYE0K$N)QG79cs~0?t
z2H-8tY#*=X1Ro|+VID>rCYc?@C23krBB^*&ldpSvM9YT4?_@Ihc&c1z8A`+v2O{s9
z6X8i$0=z>gpu3tNn4cO8C4286_yC3WhN*B{R4o@Y`rz<YMkqMLM1zk~vsXuw%<9yU
ztA5)Ds$IFfUuy!-rC}uQ_`{tOo?qWePj|K7TbF}7Oprn#z{3Lx(iH;(C+}2ZDm8Zy
z)Jwe5en6r)#4s~GTdpW9(Yz>%fGS-uFgsC+iHYjhX3`-I80r$$tK4$<z-lgMh|`u1
zbBeR`74+2A$QKjPVo264wpSqgkSh%TT4HV6aRJF9LoT@)e*^0VioMhr3b(!pWcd_)
zz;S-vNZ0Wa_{+W{nqp%+0bF!t_MyAj+eOP70d_p8v=lIAg8pMC&$(zhw|c%x6V+#!
zghqrn*}}*fhob?4LDjEEM5w5!z$w4)S{H}}(A=utt7qu3c*C{XGchCBV)@M&64#Bh
z{B!A2_gNz0aFqxl9|hHxRDHjF0%r<hmyV8(_wV2T;0}A}wlw|z?pv4K(FQD<`ToG}
zg;y1OJ1;+t9v}FjPyI)u@HphHC?~sJlN)9id{T&@D!$$%Z@5Hw#Cy=F0bYZZfA4Yt
zYc#bY>b)Lq!1vcjAefIL6Se-)IwxDioIrh(ks#e*(L|ygcJJbF&P0xXw0D39B%xH+
oGKwx<w8k!h&Y%1L)}22bN7uxIrX+-KAmHbyzNucRj#Jow0p9W=L;wH)

literal 0
HcmV?d00001

diff --git a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-4.png b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-4.png
new file mode 100644
index 0000000000000000000000000000000000000000..cd8b47f88812ea30b8b93026914ab7a933be177e
GIT binary patch
literal 49175
zcmeFZby!u~7CuaD>DYkura_Pf0oj0bOG-;ONV7@l?gmL|1W_8LyE_B{1*AhzDG4Qh
z6VHwFyWhRv|KIa`=RC)~Tx-oa$69O5Io|P(cb+IU6**ii3M?cfBwPh~=_g1?s4_@M
z$T=7&;7sP@9Cq-7jCdj^iBvfb+Xcr^OI-ykWo0B*Z~+4e6`2qT_4XF<FA_2@(rv4|
z;6L67TO`Pz^GHat;1`LPoA-eb53dk6A1x2R5YGc4K0YKQ>_pUmwU|tV{Ofol5&GvC
z9W*>oB>3ksGEySpzm74I6aO4T1O)kzl9T>+oc!<OeB^&ymyhyKi%@0qQU7_2ob$h|
z`)?L=a0?1?b0Z=B=P!o%u>leiq|H`S*G*ShNyyyEfz#B&$;^_|%fb0}03;DFA#mtm
z>1Imn<zVlK5b}CN|K|=NaD023i=Ot+EpB#?=yjFVXr-K7EolWfxjDJ%MX_jUX+>Nu
ztc0FO%l@M|_}e3T8#gy+AucXYPft$I2b@l>)?7SrIGl@{my4H|1Kh!Z@OE@F_2O_u
zF#OfYKl_okM3}qUI=k6AInv(tYij1??)HeD{&t{${qqky9i0C)kR#$BPX(Tj%gfZ6
zi-(h&>%TR!^s@c8dH+|d+bjRGnX`?Pn-jvu>3@v)ugm|l0}Jzi+3M`>YX9ezSeSEJ
z+FLqUI=Uf1JD&e)ubZva|FHM=%3s6%`3ir%91-v-g_NBvY^}VdP2DU-Z(W6hhnIt!
zPxGJ7EyDF5_x$_S{%I}cY6)8YzqkI|J%4L``v!$nt*j81Zko0ZmZE?8q6pW2p8wxX
zq;0Kj-E5y*TKuoJ|GwcrJJE1ALs**Mj{EO>zy$oq=>P5N|L#H671-fuYA^cVI{4Sc
z|7`#7C;!(i|Kkn(>-v9o@ozK#>(GDy(EoBdq1#XO*9WoqZ{Pc$HvIPnf3v{CTnOQA
z_RP}U?Qi1%xB4@`B~7il{&re~>%ZPDa_f{r;PHS@o8Hc0Q63Sl|Hrw1j48r(JHh`p
z;s5mi*IBTfh++Xx{pZpoisgaA21h~?M^ccM(DXvye~G!MrExZ3%r}v;<^7SxwpapH
zu|$E1_<odCs7;}?LbRG9FR@H0qvHKG8M*@R+--^D-W&bjH@Ro6+jtY+-{ITKe%}qx
zK5X0O`JGmuI{j$*{>iSQ?NsaL@_3?Sg8>5rB{-0l_OG86eMsdg$EIZCKTrHQ-)RYv
z&P{Ru$31`jbPzzj$G;pi&tU(pIqgx-TVx4wC=>$u>*q2qa1e2wD^_6i?{g63q-_h_
z|7%ny(Est-CFak6TSAKwDZ*^`x2_<_0Suu3j&0R4(tmb;JIV%J5B2ZO&M86vmyZG@
z+y4Fx^b<oA|FQ}+>-+-xxAweNF}|4R;Mn|QZloRL`ug{evFwLG7U~A})Ukg2q%gG=
z6NMhsh|E>!H>kW6Y7)i$+~AZ4N4zRoa9Qs!QO&!)I{V`E`Te&Tu67%5wuC>HFyf)y
zzTD#pu{@^7FV^~Ewnx&rG+rqYF{_-|oOk;?Leb8O6NC7&Pt*v9Ry2w-z0s-iKN@1@
z7`y$GtL=o4knzIE?b)sh^_|=II7t%J6@s2XC4Abno%^}X=WL<Q`is|k-1nuHl=VAZ
z-9ByNTAyMc-*!lT-1QN9JzZlyV9?~s@3?rr(iPJB3s|x@S7rR(Uhg!?;ZyxW6M{KY
z?CM10+oyN;!_9sitoCfc9zCyD%@f^FI|5HK-|TMprQNT=eqkCM75P2Yt+g1kt7;Rl
z`^e6K0IeDpU9l-Ylxw}=G;B`2+#1WC$bFREd$Rk%Zl(-5o8f9D1mFMHZmBGX!k_QF
zVh35t?1{j)4)_cnwblFhmCDOsxjx^?`D~y{8Eu@t$qml}*9Q`4;I53je!ovm7XrtY
zpYK(4T>oN&Uxp2s?Um`)&{r+{|8~%_{5td6*)?se>c9vU3v{nQ55+%%;lX;saoN-h
zA#XRf^8&2u2CKn$GOjj}5F7!2kH0#Zd9CsL>_?S$#iyTh#uMvF402EFZ6s<MmY>^Q
z{rYL__mg-to8K<{PJ!KAB^<Hk`}K7x&i;z9<#4L)T&3a9ud`ZPO^9t1CEE|LO4b}2
zmOhrL7ono#Sxn?!?NxQW>P$EGZ}Po3GWNd+GjnRcxED&UtRVTv>5UnXdP4m@>bBH7
z@l|sKyNt449=~_^JoCn|#pBz24JsY}$LPD~UFbBLl?E5#l#YTP`}0F7%<8Smxgz8R
z)fPj^2c}xUj{Eb@aWBHoDAeR7q4I=5cNJb7$OJuo_YC-uW--e=t}jISb2KsAlM=-+
zA9OQVm0I@ZL>`S(?3>Ew=$B@@(<KZ1PjIMvNr;dufhRK#r?I8eNug!L^Eg9zE%=A)
z$h9)DNjZyS`0YMgjAk5eWjnnZyMs-_XFu;em`HawLo7gaHl0J?<L9gn14ZG*gRJDx
zKQpXdR$NcO#BWR8<n>CDLmgbBWOb<8OweJqJFF&?wx)~2G`98S18cl#%4Q*f<^6`$
zQC-Q&ujFwUKlt+#LunHkQ4aI-%oF>fi8Z9ga^T0A53Ca#OduEt3yNfNxf*D9V$BK#
zhIOlu+s<SlGOAi#8kaHk``Tx-<!-yvuRXeNHb)^8!XZUkWopP)nhlOixRe5&O=X|!
ztX0WA;EP>O*4t_{V}HqNCB9uYI=L{)94cISd2F<Wnnb*h$l#3Qd14dBi#q4}#qtD#
zbo-<l;jU3Z0jydEC5ma$BpgDX-wpODcfOjGZppISuC|egZ>U4Lp^-%1-?Qv0dBUYp
z6dc$4<I*_|=_|a@G3{S#m1~-!521&Nb(6G)^a5{RA!r;cxENp?UsNeOai24c(35zV
zz#qhL*K2BX{3WFd-}93lG+c`O`rqG&(Mt@=WEqYBc+MBPe3-m5zj|uG`D#Sj!ab#o
zK=j91e71v{u}PuH8}sHV{bYq+T*AxR6;EF`_Z!2q#9EGcgeS<I#xPggtoRr?Ffs^$
zo#P^m(_XeKqd}_uhwB3_6&g-8L*0tnl?Fos1lYDCFE|$1@nC|`1jF}fjVDiHrEo0P
zKD!*Q$vn>9l8YBUh&)E`OPzon!Qh^YE(5XT4|XtKM0`r1VpbGJ$SC|-|G@-zmg{P|
z^Jb^zNBi$N;{d}(=K_V4dk4)0QW3nItuIKqjAGr1AG{HwdBx87qwUNn`tJSeoa)!I
zGS(7Ej!LHS@pq!1zew)(;RqZoqBWsiG55yn8X*gZONc)6ZQT^44pLF^_9<4%BurS6
zqxOa{!(+=^3z06vdMYq{8wXZDPnA3-<-75<;h5YVvll4g$1`$~7Sn%kpHsG(FRHAL
z{R4Xa@vUA;M@~v$(rTI9Q_(*wbuTVTj#Zz|`LfRsnX~X`xFh$ko$ZqszR-U*wd(VK
zzWvg(w$5@8?z$l!G1n0g(3;{cY}Sj>_$Kq^6SM@<w@i`G%f6tf^OBM*Q${9iV4z?H
zy;<YUqOg8l?LjCG857HOuqR)TW=+CAW`kq+4)Y;l+4HzuccLalc46IZBvkPV_c17Y
z7hFLSAtIQrT-BoXO}_oFNhO8UgqvV`&N`YBiEOh%?RTPX!9^beR(#Tj!ga9l8sZYF
z(hs#(V-#-1WLnO`-xr$@lMOGF{^6cTLFcL4(7|~WGt{=-SJ{FpeOnWP_*`|Ie}(yc
zd=y=)Lqj@WOq9I+xSyG%1-+gakcWD|9LY$67kFKVk-g)OalzcF_Vk?6{go#7S4<DG
zphIfuUkaNnpdV$zet4f9Ll+vUdX;0Dc*OEI7$FX0fad*b63pc$&-!}|CIL~t4vGG+
z82OL*e~ts9wXcAwWaa;V=U*u7|7&jvGp;iXo0RbRC9l^%kY50OVt1Yev(W7C({I1O
zzNvb_u6Oj=slx%Fr1Qh|fSW7N!jQH8^Qxw;tkKK|q^z1{W_{7`p3Od6Y;*yBykw*M
z=@zQZL3KfZ><+`$d8=DvHI_vs>;VHa@$%xh@*VXYE?Asd!Thdn+^cM<1i=76lE)y(
ztv~O@<ZFC$eX*Sfp{Trx__dxO)_(nK??=at{~PTJ$F`pzS+&aVav6#E{W`g($>d}Z
zbpJZ@N;&)d_4(;%C$a1Ebv!DelbtEl{!(l|$q3rSG7Q=V5Q@Ejo$SgbP*)gt_yaUB
zlE$Xf=)AhWP{;6!k(G6b@?r3g)t-ncl*_{b8i4llK(yRh@;h4sL4GWY-|pyB@^ls*
zz^_(BgjukSSY%YR&XHWNwW!=jKCi$+>89tsj)!7BkxM1!e~Hc2I@#{`8vqxh4J%KR
zG;K(b1-<jp#?W@IkK<?t4^@>f06{6EXvJRg5E723Ct&$1VDLJblFRe|WxMK1mo$AH
zc0OS%CZmI4!Jt(n8y7>$_5IVky_x}PB2!MG4`}2007W`pe(j{$v~l~DW^@}E#aEU*
zzi<EuWyC}&U@tDl+?^8?%NEt_zSsWqqdvfoa(kHLgC3Q9Y;n>w$Ws$CG{+Waf=<h=
zA1m}bj)vJ@3VW(}SiW8%L~-i4^7ygbCU&twG`h&ie}4>2c5y-sx4n<wz%$7{U^X)#
zly5quFf{D&zXBjqz_c6k@KcIFVRYcmb|IE0<YhsoRE88eXSV@lr%CtD<w6rLX<-S1
zK+9GUiV=pi>?%0qGL7x6656E3(v+Q0`5i=@KG;;g1nP|YcLB}{@7uJ)h+)6XuT^$F
zxBb`GH=fJhrA6VzwUiiqPRqXg^EIOw?Xiya%nrAvIYXdZ6#UOL>#US<-gZ5fue8Q6
z@t2W7zowt|4zFRxjcJ=D(p`F1uTy0NqWqfp8+}|w;c)`5oq~ubuau%LK6`6S2ZQws
zB9m{__Wa?J+lOk?p5XShQ5M?H1q^!vSYVu_@pKp)NIAB#VsrVrJzs-QF1S9T?yGtb
zS3iZ=9^V{EcN))u+nX{tNPWcwHpxTOg3PUm#|-2H3x5_qPUqY=>`Ui->LvV5Zofi>
z;H2^z;Bi?SLV_*vjF7hF)tto_8l@^%8!4*M(|k>h3f>Z(cql(wkMZyjn4F`w-G>=>
zX0Tk>X2+Xn3t|TmLZgyUiqr2)!VaJK@HEl9xBaviYAvgNO_XZBej*ithl?Qic>3+L
z^>|Juqk8s3r&mM2zqd@VVAfTWm!=19EryzE#(D>z2jr-&zKGAzpod_f9ENsA5i!sA
zwqG8Ns8gppx8?`-)MR2?NsEMstQG0M8bmaY4c>g{aW`5-B4FEuwMZ3ue*e-Du+;2+
zwuqRZbZR~9M8yx4d<Lf1&Kt?LcN=vVMy*~o!zVwM7<)_1Ju(<Zb^!E(LUL%4KHCCw
zK_c>!k5IyJ)vG{!y_c=@Fe6><4x=#*h%+CoIj<uKzgs!XSFhe!$eab)DIvB-qg)*i
zR=RdRC-uB{T*AVvvz`e5yfvH_Blzw7G-;v1=?jPcd*~p;fdlQ3pam_(Q%?Pj(E*Sh
zVc%sDuS*a)8U)z1Y|x!gnk_JpPAa_GPDlCb<b!JY835EScFHEd)kjP{GK$LFnW->Q
zToRDJ*sP5f;6@M0hpmSNza%#`+IVZn;(Ibg>aCL3bWWqF_T1&+-i<}ycL|5|sad*+
z)$+yn4*Dvn`E8Vsp7Rlsk>1c<Jo-7K5#)rbur)ff`=OL0LaJ0LllR#SORDd@!$m9^
zPjIw7mP?<^xPG-s(6b0?c(C);&pC~7XEctd^%(YI&)~Yz?|6~r99E{2XjceOLWfN9
z`n3+J-#K;Yt$JC#ZKO-b#?Pceyef8=M#@h2<&zG4lY}Ws%GRy;f_<p1WNTTkrOs;1
z40Y@d<_3+RGZGCi3RdDZNN;0EI27r3^os~Mn@R~-{ZALH84sF$j>jG*>D}-A5`>Cg
zo}6+|c{oo@jP$qK7RW;_u8&5zighZUhB2d837*T|>t@RIA}@bBbu+ThEjRT;=lNa8
z8gUTFVf=5d&UnaQI=3EFa~U*NgOp}<Wbkta1MM$(G0HblmgdH{YI#0M_*6m=+0Eg!
z5XQm?>)}+)upGjX(fP0dyHx2zj{z!A6CHk6=(uC+q3lmxfbGAR^$p<RWi!a(@v>=_
z<r}#a2J7e;`|%q!mpo3tr$O*)S@wb}<dMg|ZmMwFcSw+zj0sq}xgV8~#axhut?Ru)
z;u3nl_l(rRn<?QJEm+G%5r@W#f@nb`UppphRK_xRPzlw#T~LrvS$y~xBhYckObXa8
z^%16ydg2oUa+UyalS?R<OpPvie0Gp`XPhbUTh{`?adN|DIvT%r2H>s0QENwmVOtM#
z_3!G<MBr^8JL2^jYo|<M4q)eCSVh3GM$=(_Q0T4yOvWTX@;QBL+;M&OC1Bv-Q;{5g
ze4`O!j6cVpMdKBY6~XDVMh)k9<U;ifQ(x&*tX~2<WznQu*P{<6MzbHPwrx^#jO#m>
zq4aHlyd5mrr`b;JaP$7y-kRQp_)4uBkXlyg)|i3!yR+RNM>zl&Y{vW4Zh-~(o(||r
znFg4q=JIvm8?8JL9#uc*Jrd~0=v`c6gFs{gEeZI<gfcN4`kOcGV%M|2rlVHa>?YQq
zmyt065`>ZHn611v-w8Ju_XeI85|3*wxG5GvnPaNS6oJ4`<r!C6DUtJpiPC<ko}Omd
zW{mAOPmcTs>$4b~etql1zK0+W-BMpy5MYCGDMY^DG#qxRXN*w@BBQ50^CNeSF~ZbT
zW5;f@X_my*Tpj3-D!qIE$;yvlTR}j6uxw-S2G0<mRJ>Hr|0>lcXD7{Jx?hfE#O@XZ
zvE4|Vpu>cS^7%r7>ORzZTGqd0_z}*|fsH~<mniJ%I4*KHS9HqYD8QonSUf)Bnvl!-
zS~j*=^MnFfISj2Tq9WioJ=-8`Hz81s1*0(x$p`Ls8p`7OM#6T$5YpI?1@!|F-n~K3
zc1#AWQ3wL1huMVQ<H~$(wvV?4DGf?yL#2?Y$i6o{r9ye!2$z4>$t$NoclY<%nhN!A
zI27v-OZ5*H%Q+Z?IF-qi=D%}az0?3rn~9-I2K^mPs{nr)$9(=o=WiTb&^#d14EDFh
zS^h6p3=@TZ0xqHY_4XtGvkRyXur=lihH>ZL=V&nmC1}G^hX3>lytF&Q)#nF53XNqB
z0QB{Si8-%y0*XZi&>bbsq?`t{Psuz(i@_=hKo^8!41k_WgQla+k%1+;#buWz_qjAq
zLm{KCB$wOJmqQ0dhpDb%+BM%}(yn+#WKPd^y|n|D;l=0{uR}A(=}SQ2uxY=I)YUGO
zj*<++qAR1Tv;=7^px6KcWQZ5*kt=2}5;47MdJ#9W&=}zW7@Wn=?*U;4xD96xC*ab6
zr&0&#^4HHjhKtP3lw#TgV+f=6w}6^Se&Te*M$Y;-kWhVo?~vszlC;ftb=sTvHvj%4
z-e7b#T=Gx=%#sPw-?3~B04V7K#sL64S1}>F-&CE)T%oPRY}%K<zua7350`==0iEcy
z)XYy<kYZKhcu5CMua(SE)({y}Z*~3C^>kkx=(^o8kr*9O@4VU#sGo@(cpbov6<`K_
zs^6W}@mbS|Njn|k>c|21m*)9@0!j7nA00F$FDX-K9ePnw4jI{cdwe03Qof_=z6j85
zaD@Tx(VDpSB$AAi!og3NAHc(aqv(<R1(-RH?~8D$aGd4fpLrj7oLi5_g>TnsU?xCg
zfL%Dsdw3MEMh~T_mGqs+`?Afl1;bBI19<fL@F57SC&D{+dJ-B+OZP@f5uxUblLb<T
zu0DXb1cciU0alOC*#ZuqA_*7{CVW6hxUg%;N{x|&TynDYuIK0uY<z($!s5519QvA}
z8+yPYPsB|&29svr=yYtp(ATaqqLMPj<KDSS5W8+X?570lG`Ihy*P|5zR^a@!l~8$>
zc;;Vl<+(~#cd@L(U0l8EEC!YJFFrro05*TgZ7P{WFVh;tn5-QY9X!?m2syCa#1^;D
z9Ezb_&t9F=__Qz_EWwy)2Z*k6mS))j@q6<JS<A*z82WsBcf2+BK`{gM2_t;Glkh`)
zQPs7KF3T<5><3kYaRD@h*>@-{Ryu)oNuzjK^812jnrN#_4&erf0>bsPl60eKZ`bcF
zKSb$^TLESkBD!Di9TfP(P0T1T-#hy{s|chq1cDEy1ao(``ECd?y@LZaAmR8lDt8IT
z^e97egxtRZkK{oYrmCI+qXt1_P3Egj_i>1l*6G|v<fI_yyh6oaL-0jud($DC_!f31
zPfAs&#&v|G=PzJz#!i)=OD&!ZqYewTeJZON=@%du;lV;|OOM_Mi)KWibE~*fsq2c@
zB}rgH3Vf57%reP&TK?`=R~cNld-n!n0({s=m0cgImxWb2v`gtPn<qSaZ!=XW5rVb^
z$XLL9&U$3<(Cvey?Tha*t|_nJ7922F8I!ax!zBX|RRH*EBv3z+Bu@0@f*#z@<IBHI
zNt(he0Om4qriV=g$}kzMdPSPCv?YFJkJ~$qgqs1DSyYJk2mQctP+QuanHqCB&O7)9
z4^53;ccbG|E2Xh&ne-jNy$+y1`Ft~PaX>Fsd+b$10PyD=IAT8?-<WWWsCzM)>G44p
z;YX54;*3C?b10iHNY>uce=m5_Cula5cD%((<9|-K>XFW6>}cWf?bA=d$@dpsL6$&H
zIcnvtctk|p&Mgv?Ry3Ud;p^-h(lfiZi>>TcJKO8`%Gm;oj0Nx{&g22o4zS4N+@V{x
zU1?s!GY|<f*yps-2u+I*R7G=OtyR))N%=5lliTQa9zo-e#J1`cq>(R3ecl;-?vB9@
zRfXTeeC*94f~KLv!u%Vz={tKrg3zf=907Z0Y0EsyR>U}0uRiBhpShxj!*jQr^qw!N
z4p|tN`OP<wJ&zS<jmU|=SErg4@^qm{NCs&Ti>X(e+wPO0WTuPTG#f?ujE!<L;P<x%
zO2@{az3Ov2i%R_lJc3ED`aBaRghSof(LM|NWBO|PPmy^6*Ls_ILhe{}KdU;fyE`d#
zr{&=C+`h<u($z#y=HBY{B>R9&c0qvq8K=~PhEtGWf+;$I$;RD4axYGl0jn*PF7Ss;
ze=K>=U5uM@@B{!$;~C2?2P44}j3Wl~19vaFmxq5&N?S(T$MU@1q#yWTD2CpF?M|eA
zu9GnhFkU}CwQn?jN7q|(D~iqGPw(u8Oy#`JmON9W6zX1mi(<|d$J!`81gpyq=4208
zv12@R>2;p|x)Eb>ubG_46YBu!&gJ)MJYjo(4Lzu!`80n+g4oHV)PB?JKpnL>3Vs`O
z<%H?Um2!oV#1k+Pik=s1co0vB-Ly8vM1F9K$mC!98l^$-0Y{g7eJq&?yT&0-j_`7r
zHwqM2<h+rDHLAF03UOM1A7nm1K~|zMx@6QvYxv?XY&rR(P~8d(Q261o^8h(IE;ZNC
zbx~WumZgb$e&Xyi*oJ;A8yPNER;*1l@;#LKWUA*1$Ke2pa%LNUOvIg@WOIh87Eh;g
zaq2!@c(E-ymiinWk#iC$oKF<sdMv1V%B;LF3xoH}WeUI?+;chd4TI)SGw<Ik0~Cru
z!S6m&V=|5&1^<gp(n)UDQOpOZba`s}7-4s??v@!e@pdefGsa@v>#+u`{YHM5+5PSl
zT`!5IFANDHC<*0H-<2<rb>juWvdq3sVF;^Igmydv>DO1vuICJ;fQJDfl$#^}YY3VQ
z(q3G2F)BH2%!^qSVXlr#-jCu+DsP`jDOZ+%zF~t++|%Y}dN5F@HzL<J|DrB&Wka+u
zlk24&jO!kXt*fx*9!XiAMjXUXtHIH*GF;j*M2EL3Ra&&?`8)FgylcY9m>f`~Vl9X}
zc01oAW28%|Q8#LKyU(87|0UqY&!X$IV@q6~Y!MD7pHS)r$ZBn93UK|5t}ibXOb%F|
z*0a>UO5R9BWl_Q-)lT*XSl^il9`-t{H8MHjsn6+tmoplVB22T5rFQJmCspCsb{*-0
zEJOH&!YU<s8a=jCg<*PPo^yttJX}?6rxa|V-Q_sLNWqjfNP`lEYYw28m8l_;n4vuS
z4kHZm==oNrHS~j?y%J}FJ>lptxa&FYI+tO!L;e`3G&mbR>WDm%#NOFHe@yX+?=vRG
zN(9j^jWV5GvWmCN5}=8arRLr;$(L}i-80lkMroBal#^5ZUG^-g>R4`}#r@T!%qOVj
zOanD8xdDoDb%_gKZ;-JyHmXFZr0d!ze8FWvs6X}=Kmzc_oS#0k%jj;3rndb@G`w|^
z@1-Y*1Ete4-#fp~emEr-yh4@5LJtp^zRSz<9j5l!*j{D_uXdri+F*8WfHq@H>FoQG
z?Ql1eUS<99w}vmZf)~N!WY4Tz<7vbkPwd1B+WSsNn7tItJ(6QWxSYe~(RR45V9DaW
zDQ20yclqvG(~v>;!@oS3VU>4!U^QwI6D5$#VY@Y&*~FXNBYMCkT?10SCunULZ=nX~
zw&>BIICDtqM|rIUrbs&=uDmwT(`d}+4QRD5Cjml8y#$f2=f}BU3FDdik;IjhX!<}G
z(}jd(z^H%f7yI|ck+FBp#T31Jk3n`KmG)Jr8ha>;7zG3bu-Z@va1|py62Ixo52blb
zf}_#@bd6Y8QWrBJ^7-W^1|D``ht2-^nE8abGk*~$W_fi#i}-q(*5K+x{G@m*g;IH!
zi<nH12B!7nlH--!o!!yVotW9w0@z1aryR$&Z^Ub(r*MsnSj#lNagCOEC)d5?tx<rQ
z;;u|$`V6<7Gd0S)eCIF%x}?v$6((K5R%nu0elnokrH-WWk}1@Rl#Y6$6_i2nlJMg0
z@X}Pxhq9!|(4MV3<ca!W5wrH@KA21=z2H*K6&bYdJz0ApfK`-I)B@^6^!=~JC(B-t
zvg>xTjW8!7*S1cb)_j(DEn+oFHve`Sqg>13HD^MwxGO<m1dCkQhIXuiHz_>#`{_rF
zgH0UByZLX2I#&=@E+LD1t}{PqI(p{^XY~EQYMMSa-mx`FWlg~?*{nFUIiU3yHXUO*
z#+g`qt5^3V_7Tgs4_q`Ew7<>Exx)qn2D9ch?t06HBu^qEJHC~>iGCVv%<J#Yot_;A
z#}0!@i_4&+n@$8ehu7lH-VxKh6e<*ys0yc*$%-LQjiH{c@joJZT$3RBE7I8Pamd#s
z8kHPmHJrNFUZA2XxYKEC5Gvv?`da?pD<Xf2sq^WllVfP#4$OzJthWQz6Qn2O>xV6R
ziafNRs&5kTaFd+6zr|vtBZ(bLIS<0I*!x(a*cdT{L&lA?$J|YVrfh(ifBWLThU`?8
z2X=9YtJn*csulB~5T;0+%xY<oy(;J0$6hGac&3i!Bu=>P)|xtR1rw2<1X@mz`?~qt
z`&744Xfe`Z2udS;N5*%Vm*;zPjJirOP`9&p;ww$fyI*lR++B<#G*%U>^uFLSzOZsd
zCo_tUCjJ$>njrUm2N<Q<KK6me`*PNSvUswHYvTo4lhk?Xl_r+sSQJJapEtG3$vqRS
zzT^#rd>$+^+~VStr`nvn^aVLPQ=_X)AqB`i5W_bf+z(gMx<4*1w$p#kF&Fz*TzO@*
zme0r*%Jt+tNDb|$>^bi!ZM>asSM|u7<gzci0<2>{$d7UqDKoz&@%L91DWYFJo`dEa
znPx~CY1;Dcc9#VgC~`0}49KhPfkdg4icy6mH>t`R<q__YbaF}|^C5v+*e*<^yS|qD
zoIA<};gZBy@f7=+6Rrg<#@>0q`b*+FRZ@Eini0|QvMVOs5cc11pS*{a>tUa1w5qfP
zlXkt-%<5o&Q2u5%3^%=B&;FnuFy<@rokn*Zqq-vRM42T-SBnnU5u0LU{H|$0;}!oT
zO<6(0?L&9hJtrdn#UVe>^M;iCy<R<T4<t-uw45GNjGrG#1=;BJ@cpC2wmAo4oI#Xn
zVxqY~<4Ap?ahT2rf5GcPofNTR2O=BNda(M)<?x`U{~9+%i5n9QKK@4@_@$+=JRS;3
zi&psu+81hI(x1~_RI}z}vQ!Q0evF`-=<3rnJim{FXBFYZpk<Tu0+49k`l0gFyD#zm
zRkkPc<hF`%MhRS?Mp5;{42~n^_pfCyD-gPKw4E)GODcToxzF1Jv`ro8jxH<~p0Uc8
z-Q;g(eonz{p<k5!ZQu?>Mjmd{Vfyase6G`j9bywhn_iK^z8~W7vmdonh)@_O<{uf*
zqMA;0hC@#!mq0GXOC_%<(rsEDu?Font`o6d^;Z~1e9i9rB>^qg%Sik5Zkm9Z`Yxh~
ziwOf@ueL;qdzPs;Ibq08Vm?r&O00x%hr)BxR$s8ZXV8^*^owEG`D8`xCrAxJZBee}
z=sOu84<=4}s}SSg%S+-%y|n2?pyH71yy6t<9wnupGjDb#>wTT9fcHh8H^sio6!|jl
zJdOWha5M^M|LNRds6rQdoE$?}7I!KQS)ViK`x_~Y8yO*K=@6-|iphKBR;FDimG7Ha
z(XH?A6UdfAtzL1gIZ@$$dL7dhZ?@lui;`%z@PRS`k0>_vl)Scy>Joc5%vThnm#g(4
z_@bhRFJ2;YX6RWjU4+@)p|703!s3v-`DYYjc0QPN$enCPWB*pqjS(HF<AyqiXLnWM
zbY9>c#c3qKs(6mH=<lA@-Np6|efLzLVQ0f6V}}B_k9v_h-nx=<5UGG<sX!f#I=h&D
zk;PtxEM_r>JcA^@lshWJZlM<ry|CFLll~RCPR=KcKAb|s*nRJoGf168TbI(2Bj28}
zn@8!U$=2~GiLAJ-;9HZBCwa8HOTWW-PCu%$1PTZdW{Ks+4w2H+^obG{GiV>59Kq1P
zk5+N(uP24`BB2stBcY^L&KTTVs~<!JO_JvXYf$Wz^E9Eom|~2;rps5OIz4$Q67e>%
z8aAOTX5~FT==P8xb)7s$#Mij{@UEzbKUFZjEzx$qd(jJ9DCR)Vg)SmKqK`1%dU7Ae
zbaqu#!%XOly(EfP$NsVte>h<INqBOQ(^YN=Swt1jap*Q|!2S`g_PD#z`Tb*^i?@uV
zLVOlv!Ux#(n$pXXal^<8!Ne{CaSgC^^OmCM0vFAJg~@OC3BCg1$p-OOYpvyo>k8^4
zsJ_GF?5{~0{iy|(cogO@8GXZrlnLh<Ht&zp31Zc0&JU-Ue<%2cGM?00A~CvH?pH+B
zUBTqt6H!k1FhD&loE$qM2-I8HPP#_#52tZ672QO0K$*KTt3aCZDM7Av)m)eCo3jY9
zHRCS~xl*}am(8kuL(lHR(DelaLuZlHJ6Q-3ui6pVM3cOYZGqMsZP-k$1)3-!eoAuC
zMRF0;WcD8Bol-Vk+{jp%gA}_|d7W|k66-bRurT^VYgX1Pn9rS==*#vsL|ii-FLzb-
z{z15U+;L0Ts3L_J^Rg>SU<Srz@v4>-t%k~M(u$Wl%N0y(Cvy3MSO*vF8-X4FH`+3S
z34F8E$B9jH^nv*Xp=2f7QnC__#V+GPYiyYB8r8~9doJA@c?w&&<K&Ks6}9Q*pdJJl
zpBJ50kZN2Ik<;T3XBOi<ZO@V9++4OFdaeQx<&ynvWk`MjBQxT@Eox9_*t1q%=3rNm
zZ1=GB`-}`*PX$~ACUj0d1WA9LI7G3HCwrJ4koex|OFYLc9)E05a%zKyAo9rk<wtS}
zzR@QyUp7a#AhWAHw%LVtq>2m-36`^UkZfTTL?gNiHsH&w6OxilMGaEc;S=<0w4YD%
zk6?1k(5V?Z;^z`-Qc%oK44){*side&pG;=1>nc-tkMATIMP3$?^n(ga5G+chG&*T0
z3Lajx9DcEP5MzP9&E3}W8!L%aB90~ed}dv*gaThk+(LA51}KOkf<_G~l4mK}q)>x2
z*?C#w&gFB>yUcChJ#gL%rVR_1%6`cjrEzaZ5?AOF5T+ARFYhqGR9DG)=4!>{B$zpc
zG9{vBa@OyZz<C=vBRJd-d(@F|gghuVDCLLLk{b5wp=Xx%ve-pr*eL3l;*naf=n<dL
zBc$FfTE)5RYN_`Nj@OcL<kt#FDkVitTD3l#%nzbZmiM36Cn%lFJbdw>LzbK&XahZ|
zQQ@$w0*YV_f7&ff#2(K3f_m!3F%u&i7w0s~XB?DRY91~Mg1H$w33@MLE+Yf?2yz`{
zvlD98uDS3=J$cCjQPbt=d$m?&(X3)h?nP#kyuK2WQ!qZ7rktL%$f+{si<R<7muRx;
zpfKR)&-q?AHn?(-oj<@{WPEjxv$}c@uEgSj_()k_V<qWr*|=OKhkGx5ot$lf;rZof
z_Ak<_Ug|4eZ=u<O=#@;r5qEXx23LpeD{FYDixTAlTUIMF;5d7(tn8Z05~aSsTbid*
zYk@+tvJJb>F%(p%ziC0<H#u==$sk?Y{8@M?S{B&=_}WN<&{Ltc@#8@@*whTZNc2Ph
zAhiM)5oIljE|VF4!uf0rq0W5`-K83<R$fAktlsy1qtQ(y4|vXCv_b0FF&vicj|vH-
zDdjqRi7&q82{>d;#VaOG$jGwBd6Nz+ys;x@XX+6Pen9;?QbIy3R>-D(nDMRHl-k%G
zD1FUyO1P%nCGHpbvW8GosTFM2ujIk`B}nc3on<+sNtuyiN{kz7Jp*xR__6MwtZh)#
z?Pl_jk=aIYK`m~6B7&7s-YU8?(aU;GD9U}_-`(M{nJF}W+t*{oki9h$PCXU%?L*=U
z3_pK=1r}L)1;=`8Hy)*%#rKd<;ultrU9?8an%6wf!TC|vx~V1o^QSX{xg$pg5SGVj
zkp!LDp-^VU<aK6p1x{WLY&Oairn78<n<z52$q)^SpjXZXQht)OZvb;>dL~UAG(r_`
z7X)E=u>|Cn7>GrmARS>>eG~Ft!M7zWaXZ*o<jM5i5EQvdYM%3HQq%7|t%R*uHT~1H
zNd$tLkxNk9*eWIx*~iGg6BI>ijh9)Xo?;so9qu@yNI;voQ|m#DiQ~KH6r#bVu1fU~
zQ;JNk^PF}Pp@sR%xmYN6MgA$^dwUDNslAs9@3|r<uMQ6Y<uwDH&bO<wuQ(|&q|#am
zA;I*})O9**2nX!mgD$ucnZ?>Q@n{@AHfH=lWpbLymKT8yWHhp?e$@*`BmHb+F6E2H
zrNYkRr9~UgUG-0v-gv+7bAA=DmBA1fdatJ&eTP2qhgip#NEd>~uI0*Zng(=g?Y`dB
zdfxlYx|_pUQIFzLi`g|u9zA#6kZJug!}I7FxiCklm~Y#m+G=T5oqw63-ax%9d5AqD
zj{V!kCw<qtLoWwSVNIQzY}InUY!|hwnbPhS_k5pD31s>dQ^Bf1iRZ4hM5Fffjyx02
zC-w_}@6fsf3Ec(-?t7YrooZyv9ODB>>?z$0vh$4kCLcNVyL?W>=SDUm7~ff>3C7eH
z=(UOh)_mfW5(LL%X&DNQWV)?{&hN{t^**npPoz6R5R&tAH0y4-s|?Y;HCNpZ<!x5t
z&sHE@uR_^3MR5|w<%gK?j7LSVGF+HKq4A^xFs{+omh0isLvEt3!)i+B`*$fIN}QKj
z2W{c&ria{u)E&l`uMR>+t`}CkLVZHl3yS43=mbf(vDtJgM>i99?w|9=iVn1lCK*Do
z&0*o(mdH3?*spk>_E)i6u3|H<=>Ie)_g~S4yQE;v3@yB-Y`07`vKiE!9MqCku=iHd
z%P&_VUXf-+Q}aLHrAil8M4SCiOL63*YT7Pfl>}a*Hb%c5h4kC5%}jsPFv{*728&So
zp?nd|U{3p|-ofuzVB7g)vM+`#R<qDhC6gH{YoGNFArZ_#2M;tXNKAB<IM*nQ9i$(Q
z4!4%LK#_cVg-Pfhj2k$Ql4$F`)#cerr;@bLC_1;Y5R`5r8PqJ-91<Nsed2f?$D8!a
z(;87wxVTAAf(>||hawn3mk~#Y1BYaqy#^!1Idq*LoEnJeS8dB!SG@LHMq&8v(MY7Z
z>ovQ5ti<F42+2B2trqr)DWT^SvHV|Ou|Kxnl55WdVwnM#&pEe|F|xzGex<llLY$rv
z=ATsG-2`Mk^NTJs+^RV}$XVG~N*@F<AX~x{hpFqr%oEeW&LY^f1R_FuWh!4~#mm3E
zksf`w*u4OZ(3h4)yf7?Y@bkvQBz=IZ@<86bKzx<sm1QboxSzCKmwsFBvI3Ql*_{Xr
z5n;@D<>DdOsmp<;3UA*Fk=zW=loiY+GI`0a$?X1ea{og!0fM8!`Sj%TH<F~O90O8Y
zj~jmsX};Fo!=i0LeKoblAJ`4>oCTQ-?C69)<<SJF$?q)2fe@M}preFWTJppYz`p<f
z1;2w_N)MRn9s>B~M;Cm?w`l0ZO%X^m9>HqR^Wh&ZrLDQUk)G<%t>VhL_33iI2ug;(
zOjCYQD(sbj)_0ngINp6oA2K&2>Hg#)?=wF`HnYl2lJQ*smL+=LERB8oF{2>_79KsV
z^L~7Y>mqrW^`nR-4BbwiW}D#65AF2VA9;+J-Tkn1EG&dC>30+AdXQzq%a5Pty83Q!
zgxN|68j(47x4PD<y_~_7deYh+onhA$R#*DPu^}>cYrjRluHh&LS+Un{(1vb`Pz8#3
z^02_!<6LH%#ySEucGm15bzRO>O*HHg)?nz@ZcH<kui=Hv@y7t-IIiyRHhkuwFKR+E
z0N>@N$p(ea?~Y7hq@#dS3)a&|F1!+$Zwakid7ntoUPHyj=>*7<X4jo;Dih=dbN3RT
z&E^jxo+?KO_iDb;j&r{JUQaw%0qv%IyY@Vi7nCBe383-Ti1-Ub@I%BVMglai33V?Z
zV+Q@hxVVLd*!V<r^kDmgUNx4n((-L_a|;6$l31G$KJ;=0gAz9M;>uy;Xz{^>NC@5H
z7J7#Li()d4-&7yxr$K?jr?QNpo94_eN|RKO)C7fhrDwKeQI|qj+!Yce4hhGjdX^I9
zvWp?gBY=%PfE_B-1eaDXGi(tcg%II97Br%L9=#rfe@lyZq9ha1U<`U=C~xzaRcV=v
z7<9p1)_Q3IE|W&y#VRQTB8eglSch|$3%Iv^<6Cp_NFO=0-J4w$rN=vC%tBnIo!;N)
zfh-XBhOUQYNeEI~X#+ns9Z!P?OR9D(ITDa#DR3Pb7VB-mx$X^y3GgQo^U?L-u$)DJ
zieKjMC5}14tPyGE3Od0TK`n##**ScE?c5(YOLd)XR5eXN;Vo#MMCZYs%e@DisDK~c
zHEoE*d8gJk=$W)N_^rYSN9ogDNV4=w7^xAh2U|c2`~5qA>d^<nDBXvbq9N)<#wQ5%
z5Fu|W+rr;dp*X0*@5_OZzBf4b&MFXp)M!oZqQwU#Cpo)pTi26^g_a7RvrPWbm@f)c
zD&stnP-=Kria&s`ix-iZ=b)G3(ERfxCkP{@#QI%g6nibbtNL+c^(pVL+Ilu1HhoS@
z3sX(-K0qff%=_S$%QtmpBN?8>X#S?0+Pt#x16EG{-hAIn<H^%U!zXU&KM2OQto*QA
zyfM^O_ChkW?Nr&~w?D$XqpNS1iYwsQKzIgsAvpaBwsYKo;;n#AE*xP6>c-pSFYU(N
z*xEp4)_fqoX*Mh78=3wr4ms~6yKx9mvn}_Xmb|v0b3R<_vq($t4h~d?gs$Juzs+a3
zr|!QJ8zA!L6k?-0G6GEL2e63*RGi3^?Lk>LNsiifGQSJd*knHqdb06=$~e$nfdTZt
zRclc_dhP}m3dH6x5GUThrk_nhto33dNHIXBh5vB7_3HF<XP-4tU~Kt5&hprr$a5M}
z>XakVFI9QDk0SzPk+*V=m&s3Lq16e2&LUxHU5BpQ;~cPw>t70vLtblM^b<^;r$vUj
z^TiLBy^5OVz*dIV(@%ClQPl$ae(1PZW(1Uu?Rs@qKr%s>;?SF-Dhd==kNq>EGF4Lf
z>G8qd5;DKsO=1_p*OLCAP>zYxJ-qzRjx>86Y^jLp?ZFpQS_i^I-ZSbqCmTa4O(jVg
zl|E<R!@|M#4qR#xL7C{g8<dPLk|^Y)$m4@_hf{JiOU|1q{C3)ib|ybi5(c7{FUgsK
z2@rp&dn%nlBZ>SHwC`aFeOxfrlr$(6?^@J)NhF@d^y6L(+C05fX8@IeoS*UGbB8bO
zR2(m#d0(C%GRVfV7&g0sns7UiuK|G~kR?*-S$75BY4Q94>L=-3hRrio#$sM27sM!&
zZ>rj#e|tAKO<POwgf?Jr=Jf}lDK{e^Wl;<4Px?mfwGwpDt=3yqXRN+E&*CIc=~wAH
z%0XM9U9PzcYV&;7y!GsQwW(}6D!36kK%PLxXQOtyzaSS6!?Xck<h4!}HL5Y#M+4HP
zu0J*0Ns&^Uu5GY;<X+h?Rk5qo`x^K1_duBqytdJA19n+=I)@jU-Pt@vfpF;JrRTEg
z%Uf}2e*D`BkM7A>6g)FN;b>4M!9AJGUiRL8`EzgX$Cr*9pskqarVXRS<~LeRc4-O|
zw}(@!)HJ(@pz5xAq1`oNTnk)}@*j^0TXo1Td-W7lXTW%%+)kF3_7&$R;S+5AI6&Pe
z$)2wen?)0voinLq3w*mc-bOVh<}}C<W~{Dxa!)yn4{bNYz&3Fpo=W(YV%qTF96X6x
zH5c%Jw3+16g}I~YTr{XZmRcHC9S0dCRH2_zN27}|(B)QE(5iVYhmp8uo0f<v2f%Iw
zAUlYM#ai_6y8#hGEz3=8{2EsfOMh;GbQB>=$Zee$IA{nDeOXOqwN0I>n$&VffLOuy
zZJOmPq-O|3ZYw!hbqD9`300ujxx*4J4huLRj4TWX)owL4upWmgK`vZ653hfZkanGy
zD5es0)<HNhL@jKT)dmk&&j{TqEb<?IU8rN0B$FfOZXM6ySqD1UrS}fmo5AV%Rf!w%
z)Q_TzySWYvWnv}|3hI4;>JtqQCO^VbvcogX;QmI~f)}mZ;XMwhx?6@ntMEEpb3-;D
zX4MoIm$1@G=4m+wyK2hRQL!;6)p`#iy&~AlsEJm&P&j2BWPbs_sXpNTUNj>8Ya)pO
z9m%YBi&!`aNSqTWAL8veKa-Xkt>W_VjhzFPCh3$2%?NElf|X>R=6LZFIQ7?nRj+5%
zVe1$1>ro=xLfEby5)l5`9V#8s;=_nKH^ljYsZzwwcC~LoA=uhP5>3>e2*WdO_2LOT
zG`iWZn~={iHdSOmzY#gVC)Pa3M@BxiQSebx=L{s6g?o}wmb)XQ30~xDHxb7$>wD+e
zqCpX+X`{cu%r>Eyj*I9VAZ-NlF!{DfE>tv}gFg8-20|9ib)b;kQgkA@tx6MY4NBu_
zR|z;R$4>V1J{S~N><^)g5jYDlZ{*S{Pd!v53=X7%m<=AT1a%+okE$EIID9l<E=(AP
zkDv)NT6-O{K_AW<{{d&dNziqN9&d=Lr>|0qKWwxdr6Y_LnvpQh%dN4w;u^8?W?H_+
zi#)l1o}#=JZY<?Ix{(x*#Ky?2P2fH?nxu_O_z+pDytbyWgE8f2|G}*Qk+1=%$9E(y
z0v~kq=%ZknWNI~d=0Dbso4?6kym<G;)lE?r$;S=j!~1j$=yBxwZqsS<<1|tjS1=r_
zc{y45MSfi9aBSdU2BH<i29N*p=6m_-_|YL3N*ETgnf?V}Y{{dEZsPmght;{lo)J|r
zw!3}h5YQ{JmXsnd_od%1a*~qH<~Bt+s&p+y#kH@^;aY`Z+Ect?D=qJWhV1}V`Or4U
zw(E*$RBU$a5;lk^VG>%m*lfS!hzdlM@#_smg<I6at*<gx#FS^wGx6vQmYa31Q5Ycw
zlEoGvK7p$R6ESQ1tEjA~3^eKBNsIm7uhV_HU=Fl@2}R6XufXP@+dUZfFnWmwQhvAd
z>1k^7rat+UMfuZOd5}AS(h^^h-)&}VG^3awG7ua>s=G=((3A)!0k3b7FiMNb`>n*#
zi^%#zfhJ7Bw|K|d2DNcVMxBm))ajUh&<}`jyW(m3h>cy{Mf&MWj^nKLCi%KS#8%V?
zmWrsi`IzKeQBfv85h3IQ43U}kjswYC)!e51!!I}<i^jY4sxVkkxy-S5<&3@KgA6E9
z?_yNf)<aX|RN?-2WjFqf87AJP8<e-McsY)#yABXO8-t8_#ti1i`K0dBkC{3Bw26oD
zKUTvbX)C%{T#Jb;iM38^Ka7zq-4n{t@jS>iGUE<Vci;vHXl$`y#3wU>_faF;$q-Mv
zXR2_cKnsoYVuCO**>D6*c`!=Ex3&i(#Vht6ZFc5gbvhZ@4_@+8=BRI`ZieGhVhA6B
z?Q*Uo<g2NeKC;dx^oxYwUgX<s1RVB}LL4%|iU+iAn6ygyxbe<Mr(k~Fv!K`xh9@hG
znywwtO&ro0U=PEwKrl+>EZ3=0Aq%5^^c?yo0TtN*>u&$<Jl7=VOCwsOsvdn~!CcaL
z3J0u#7~TP&%`_dH1EvCIlqoe70`@oreGuJ;6KQFp^7BX42FJv?)zZs}<Y(EY%uKJ)
zx)+F4MGkk064t6Gh$+5mYfEAw@X7FuAWB<LA4ossoG2hWdrtR_z`qG-0Cw7vuuH+K
zu^5E9IfcG0lJM>0o*}GHc#ti<D|O8fOB2kH^mV=@H1Do=b|6M|wBR(51MIyfjUV8R
zxi|1&l+<YAZ9NSSO77k^bX{%4Wi$>#lNbIhmh4L;8@&<qdr(JtSVmcXBNM&ZuOdC3
z1HuQbKNnhEosccc_Bv*+>WblygMx8`Vs$*f_?;OCT!rx_@Wo$3@-#LTit-pLL=Akz
zgQEvMzT)wrWI3n2<`KTR&vJu}l5XyYJ%DJ(1GA-z`yPx7=h2ZO5u|l?!gQm1C*MNw
zI{BVlN|K!lT2RZ(CT{dNFyXS6Ze0i+Psg=`oV8v}=z)bsv}x#_`O@6y(e8t71P1P%
z%8i;E{;ZWXlAl^`u7BU}H;v363CU=-If|U*3Apy%uYPAYhxb&8mxu(p5$0Kh2@F6g
z96F4wMy(5rAcHx9tp>ecymw2|bMSj(NX)tqdkyDfUb{6Y<Nrj+JF$eS^OE1~*>aXQ
zJ02bwOqEuHP&{;0f^yC5vLc1r4+a+&^M))tSuMu(3l)=%QdCwrvWq{L;$6>0-9(ZL
z<WqUfa);V8*)^RFm$ibLc=l%_<L$m%U=yKI4!@GSKN1u|jC`a6MM4f{MTF!yi|CL@
z@xiHEQ97^%d;oq7@j5x=Mz8<5*tkBdYv9EA3swb4_kQJ%mH2WLZrI4c%6TdbCMS|5
zd4}nvA0$6r7V#dM(0f3orQ*~DEELB14FoUoo?s%%smKalvVy7^6f=Nwrh}q8r$l4%
z2T(UliW?FFSx;VV&(q<Z(@3s-M@A-v1R7gyM@08wa*jdv9q_sY@Av&2lP2!8BvHjN
zqpUe&P<)?hKF=te)dwz$_gt^G+5|)A(`lL_^!a><15_{_hQFIgh>Ws59)bk)qRba7
z5OE4`Q?uT=qxkA}pK|PsSy?{I1i6yboxX&)g5Wh`6|k8imE2lW4L~u8JAL6eeZ-4#
z&08ous#2=<>zIfKj}~d18yonxY#0@g%=W<EhqTYe$zkp+fu0OmfsE@TJL2V;Xl`(O
zoY3`5o|-(opC$1W0}Q+bG(C1CFCHT?_-(+w+9k66G?zHYpT#GCj+rw*q#BSSHUy-~
zxshuU4*L%PyY>Z0=b6}5VY?`%n4_yKOnAQm9_BY13Lg!m50CP{`b9w4N7@Zz0ef7H
z^m5Ge#EMn_`Tqil)U9pqzro2$(PG*PTeS`UY(UG?eTc$SlS#xMAEC-&y$tlPn5LJr
z#&Bz*P6)d!%&R?CltOSuvQ8Mn;MVe6{UPG`p;BFI*slZ2ZcWu3ot&X6wE~o`X)}I{
zSNF9IBfh5ll{aV5X(Fp0Gb?Agfqeu;zfbB(NhxVWeFb@r4eTfPUQzp>o7$W<lahWO
zFpa-Mo|_Gn>G)pu9W&7aDphQcF#>8#LYW1Joy-RhW0RWs<%|+6frRmT%}a2}mFs;_
zT}tThj*nicbu`M!_l8$g(k*!Icfu8Cu6y6dVcw;m$TVfnq6&YEC!6trUlr^jqC`dS
zO5rcnNRk_siQNUtp2IuuphF43k+)MeU%XvOB&63^6Bah<M2h&<XtZQUK8V-lIF>YL
z-X#^qc|cM7pe!TZC4IeVUyQUric#$)OT1f924rlNWz*1e=_lBaK%~rIgZzVc)^noe
zl))y`$wcXLdor1@=o}<Gufbj~h{ZrP)>qCGsZfb{I$VL4{w=L{&$Jx(tMx>;`a;*6
zc<<EwdZHgWaMK9neL#|?b$Fk{$^3lh-9+Zgf+l`Bbuw&Lq1X%-iTzl%_m&1*UYx_F
zIp4YyMD=jXiK>RmlQY7mrcJ$=uCd3@r=$blQICD!KiT{!Fr{K#j+0S$M*F<FgAcKV
z?D`a%PK$^Sw}la{I#LjlL>F(kioB=<yKGFFk4mnAtQP~*HitUq+mCwfwh+w0KvlH^
z2didYP*Hv7uY$|W1JAYV_~?-%k1`k6m<BN;WR2J}014R`ZZU&gd~DW@cJK&7-gWT<
z))p=Pb-^py8($btR7Kxa-KXT}5$wCaFg6ASbE8#Amlsq%!;j**w`);86I*QFs^#Jy
zK930B;|Rh0>J3A!=9XS;Jcd63GN;^-^(EI44p7oldi32@#B&2~_30In!ipK8T(h`R
z_eMT_^Vzb`g`!E&ChQO(`r&R|jpfxhkksw-U?6_RvX>zHfMi1?*iRQLq{%G6PdX)F
zKd<)CSV%;kg3o5M(oneYcn>L+iUPO;anZO6SCmG7!P`!%v5fFS`<8>HecIW>2UImL
z##dqF&N6bjMJ<pGukVA1MT<b1C?3-xWwkklpBo;e=$lQh{$PWBX#M8zs8fs@DYl>O
z0Z~D7Q2j<AIW>vtSzK=OSvPr?5pmFs%>|7&1$*$eM#)|^J;B6x(;Vk1rVFkNTbDt4
zn!$=^d57~*>H+C1KkpK#_~VFGeqKJ<c+!;Z%m#ecT+&5^bfalQD2eR&nM$O76gjTn
zG-g@e2Xx;A7KzfBYzl&e$!A_OVK1$AsVK4@I^jL?7~a$9hYzfmste|NOHvJEy?#<c
zxS2yfp=PV;c0L{UoKo})c)B<_z1$+>zQf38<Y%yn*CM2uL{U8NWF=v{I4t#wks_tD
zZjJIdq}pq3>aUbCfht|*!6y>GDTb?Q;WPFo!NMKBO_Bkk|3lMRg=N)sZCeneq@}y1
zQ>44QyAe>32I=kw>24|MMi8XCk?y$ZZi#>Lyx+g$akz7{Vy-zyT-P}yc`iJ;<FGQO
zKTO4v?uBZ%=yFLKW~s8L!xN6h@%6z-g5B$O8~x?wnPg#}C9m=hE}PJ=DDUPcwS)W`
z?3t!#;Jl+~z&$3t3B3iTLkt05gWZUTFkk`LRhG;GevL5-*G$in%;~GoTs$8MSY=(1
zAX)>CmMVF}XTac(CLaxX|3s)@>uO`{WfazQ9vA9V(XnenvHuHV5-^&+VTBie>o`g~
z+W=cpn!#%N=KSwup)5Cx^8bnObMd%%bMf}j7^mBxA5X+1u+c@)X=r|yfg;8_iV4j~
zZ&igIUrdL~dEqye+5Gk0rLWx#%ZwTMXg*BR51Wab;vf)GNau5_sllg2$bN(-RBiF(
z%G3S$PrabP1zzl7`zD&QaW35D-F>5(O>mZ=&l6A*12anS6av{z#joQQ3@Vv-bZYMn
ze|zfv7+6mSRxKcZix$PQwAO2~gDN8YSv<Xc?NpIJ*I-Q`sR4wxweDAzmp35muT(8U
z`K!KvkAwIA#(%RqB`!T^llxAEx8&de77y<Xz1FGG?yqnbdrky<G)^<$4Y2WWe3^u)
zG<c1#iLpfVw4H2-g2&dK__qK(<mF0T=4?~;ZK@Ml^!w@2NZtE^0rt1eGEZRb(PE<`
z+$<358ToXNOZtjNc0EB`^<wdZX9Vw-fi#*5{Fx-3hSerLGRaKxFke@CkyD86`Sd~{
z!>RFWgkuBA3)0J5ObYiKJhZ>@0U_dYZy`FR@K;c+#(9Pt)ZCWqSF`!?{ed&`WXQ0P
z6psOV=<U!65vffz*2#Oh*rZhWBuW3b8o_(C&<ek&uMaBpe<cNQy|^ZU_SEPt1h{as
zKiaO?Y6>U<@7ri5Z<J;d44JasD>Fe+0T)Y0C{tj<WH7t*iA*V6?BnKxUl?>;AD|wk
zua-hE>A_lAm+d_*?`Di3yPd2D903@yl#8=1D#|@6%18o0)qsBYDg=c{Bt`Yh3V444
z?^tdpHXjEjz7CR3#_cZD(;MXG4$69GkezNsFgu8R>kdWdiILsn&a{yHjQKzAj2$Kv
zA<slz3HI61`h>!P-dVIm1=##k7TG@a3;C0{7M5*V{Qf#$gS&=yTh%*>Uy-!*bEZVK
z2pSeK_7)T>WcBZiv=q-7i$Y(d|KdyP&E1hr?rOr{JVEuTsUv(Cm`Ig_<?`&N=%{Eb
z#njohH({ZNJ9j7YxeH=cu7MH8z-e6}{pagDc<5X-qqrb<tTNBW=#jo~@4Xj~4+A{c
zoyub6i+{Lt{MLA<xSo71n)i4uPHwpTKSyW|c4wsI+n>Pm)o}KiQY{^XAo{;Oxyy}*
zgR%f<W{TRUnKKq<L?K(?5%6%Bf!Y?UtGy7>D~d!A{J$NDub(^oUYCf})?I*9mrOC1
zbP08Nf&r5BIraSdgtDMT*s})X+8$-~C);f>bN=F@MYb0ws2K@`aKyxx6S%$MM^`9U
zHpDoK66!YeJ~6V7D0h|2tz!TQ*nmg}SYO`yR37%-a1Fr&iCz4ZVAJndJv}EZ@_BzT
zK$8uFV%gyf_4!s!;K}XX<|!Hm0Y=K8*gigw)B7)2>?DrXw~ZMt8f=8>piC7gCF%c{
zD>@&);ME-rZeAr=twIFdj(XB<^5@L;-x)CLe7!OPG(NI<(Tv%nGT>|5sgmSz*|QDf
zMr$BcH$GV;ZTb8k`@mI_)a7^ygv?!1;a8Z-Z~bTo&@nNvXYlD*9S6YSh3|L-I5@yp
zlzYxSFYiBR{=jI^+BDehl@+j3Fyp3WMu&WXZ6BYbUupyDkqJ=Ak_ywMavM)}7_~r$
z)C4JG5#rhd4ioLR#P$k`4x%Y|YmTx4o>50WAkVJ2*^mh!A8Urr=OF(tZ6{qrg*k3H
zr~o=kcq~m&f3;STW02T>{4tpS(|yek?lgN-V;t0)i{;4w#ja_XJds0}%00cwB1F7M
zLNf|}8*+TwuxO)tlu{Neif5B1*%Qigvkq(vr+?riT)x|(LwW9G`8>J(NOzTUoj{L4
zIJl;-Y^||f6~OVZFQbivEQzQrp#Sf4IE8`+Hp$IVj0#k0W9np*ul_~^*&q_avqeCY
z3jNAZL>MOix-T~n@O>JAn*<y_84l`DO2Bge7m!()T0dHf$F3>CW_g0h{101%E#bPF
zKWFEWCrBDdDuD&6rv(11zi@=~4^fz=Cz;g#R2Pn)QgiPiXnUt-PIEOlGy1WR9Z;p8
z_c^8dV=<28P$>W3D>I1zCBV5268n>Vm+*GCi=7^ds3F;^yfj_W)nMY$+qGo#R;u{y
zQ&!VnJ6$3sdtBYSH44KL6{=`qyAJ=0au7}bxf&@pp&V|H*{P#58YPPw1QHVT<~XFd
z$tHvO&wUx6XDf(~edi3SA$j~83ZE`?rGEtp0rfcgLAK|)^zctlme!Ywv+{4B=O-KI
zbrW8uZcGWJ5pndvj-T&Ev$_O*3s1;%C)MQ8eA`njIH@_bc!G$V+h_d4_#`l))?F*|
zkG5ow3TzzU{I9Hm_*E~|e|dx<#GVjJ8;xw(1WVrLUn!r!w@ZJ{P%X+G1BP<4>)hTh
zlu*f>ZS|DC{|;~pEHdBVT%|?L;%#8}wh|!7B`9Iqg>=3Rdqn<)%*g~Zs@?9*Po=C+
zzF%{EhS9OFh+@?U`mThqG=XEl_SscOUHM<1XB-b)5YJe&;{w`j(`X9CJ8V{@AQA~h
z%|PzZPwn9%fv?e$3>Yr+J2u_7KOs0KVQ;Z&!;3K>(v;!Q1hpkX#^oGDAi&6CHiE8!
zF2Y^P@3<oeO?JIE1p$Vs-Y}>VA3y-&Bfrb-`^JV_^3vk*7kUfYdN`t|g;v5HsxX(y
zkSC8feMqG6Q#C%%-q(0sp!Fj<6iyj}BLbeyo((Vu0H<;baBN6B8i~2NxC;l@(f;>4
z?_L`Fu(5?m!lcyjyUb(FIoU&5{Jd+WR?_bVZ&7#p;{rHxE82l>&1nKuTDRn4c{Ya1
zY1ca8{-AtOR4>sePm}34{BKn`NeFRejn-1sAplQkPCFzU>73B}b;k|Z7YRsB1bZrC
z8mWtHPf5Cq0!4+EzI_M2#zC}xbiWu>Kg_5m&rlZ$XX!af-}fO|PXQQ;i!nd#6-#PR
ze<#Svfhr%>PU}!HCLvV8yQMCtH-BI~=pk0XhAnNB1&$8~pd#FvF0l>P2c9qTUAv6*
z+bBv`S-xY?DaoE%CWI$f*~k$Nh`n%nBlU6NueIPkq@hdq=D~SwF0~fIq?gpd_jKvz
z7T3p5S?P9_cph6?_LNBNJeZ+9i9L{B@^$^N5XnrQ*h__H<>j%Turq98!uXTMqMZ|N
z?z|Ed(FK-GDaRkl9>;2WBsSGl2?#}mRlU*p9}pjxy2CJO5kw0p|KRev9RD-|=DJR@
z;Z>^kBkkLv3eebiH=159)7+`eUMPBas#AWqPw~7z^IHSAH19c_XtFHEO$v*E1!g<n
zCv(N|v{EtoYuo8^udYqMVVTLwZj74yG&Wd#_j1VXL`&ZliaDK4TLc2XNFfMzqjV8j
zaTOQG6}0m~emtSwG{w^>VnlQ^WZ07-e2fQwxtD859-ib_oGdgVGvXqTQ=P}9&h$A9
zZ`B&6L#FToGJ-ebaWAu@P;I;_Ufv;`MW6X`=Dsc2wm-VlV$5%|y<)K^&sw!o?2jH^
z{&>FAIu3YE%^y@j2n&<=Q~%dB=--()AO2xn*eJ;axezAKHCPETMoK7<{#|7sW{v<g
zS?G~>tQiRJtp{cy6Y{{ht=xl2)&5hE#rZf*7m!Fa`4lhvsLnGwA7bP^a4P1U4D;DO
zCVY?OnJ^5VG|iw`Q_@(wej&OsY1fFUIT>Rk4sz#7qj51zXJQ)fpAWu-|Nk_zC=T&M
zpc05CUrsKZQPIyIvbZST7~9<YBbV=MhK8}=SQzo(p#V+VFf98<0nvY77&vFFHH&xA
zG`PN6MAxmkOA1({$&C;Dq53^iVD5PG*trb+U0vDlbc1&xi~su;hNV^^^H+oV<GFG}
zH9m|~XXLBe@dAz15=Wo0II417gOPqI9W=YpSM3S6@h|bNVpD&bJE(nuy}ox9m_E>S
z$Z8}u>ahhJ#b6?|*o%zTZD<rYdg;Z!^@0aLlu#gN2XmU*HB8s3XXj)RH>AfxF+61I
zvWgb*RH!ISYJ*PNGy}Y^=UZV*WiTW0qT86WIAlr~&cgHwpqS-+ILF#q-<w1SeDdLp
z$kj*sK5hz!<<<IRWF8QXgBe<t1p2JVh$PVlD&{3oUw~ssA-YLRNCMm2njxs%FMwA6
zSHHD46s^C2bD_|s^>5P>;S2@(Z-&aehkk%4P(D^GI|de5OP&X@x4F`E$)hJU;h4c1
zJ3;f(DeHqmuzsIOh291Nh71Khf6%e0sGAKy+Ju(^R74;(AHHo0Q3XP%gksBe?z1#X
z+ckO1sA=6E`DeSqgxS!-4+~9;2QhAdA3@>KQ<wnU*OXC0!0wX7Y?$T5%`B_e;uKaz
zYj7QV*kI_o4y(Y9#vEq%xa600cz>*J^bNRT_6<CqtfVg;pVHZh-W&Wnl3H&~w(Uub
z$%1F$9gfSYLs0kkB|%@?-3I+7Q`u&ldv1pEKqvJSA%bHs*6xt`65U3dw+Nwbv*cqv
zo`{~(9Y5OoE)3EKk_%|wObnwqCg7STDkDNq2))uJzIh{#z5kc--YFi^w3-ny%6eg6
zk5PvnWd@vjHpraXM+`c3p<FLu1qF?AE_#M@y$t!!3BiuLbEyn?Q{pA;d(?L?m!*7u
zAdL(*R`{?E&~+nPRL#&CaAda_T>=I<P&`D$X6QErL6F4d!7MYSr@`+RhhQoZv&X6M
zBKg>z(RU8Yv*CH9FH=&Vg^(?Fo~2E|<MZ0X9E5=)As?@|(%cHh&2pHL$$H^wAP&*0
z{)h$KzFyF^biX-n198_&U(L-1WRHVTy5=;4kNbZ!UpOV9g1hT7u1V2?pXH_KDm|+)
z9k$p$3wN-?z}rd;F9K(~`(IHEWGkw%M-b2Jd9CD$Bjw#<eBlOpALyp){Q71M`d{(5
z!HbotpwI6HLzKIS{O>3K<5*)jM!$uuO#go@I#L64S5U2$O?W>6+=RgVE9MgkZol_5
z4$_n^%x^yU&br-_4|2M=SobAfSh15@Ofb1hmHGAm@h_!_q4C&02@$-bXJ*|<%n6Vt
z?paCR8AKG#y7=AryeI5-n2WO|)cf2j)ejd3!EjhG8~;BCKRVfXi7JiBL{GOa(qo3r
z8N_$|XLbbqL_fXr-egdOAuq_p-7xLdRJWSB(&X^M{|^Ol1231sg--GSa!2>ondi%#
z@;0pJ=4UbvI@Gz}+<~mdoq@%dI{^ydr0(_^g&UHRdiN3{lIEh3>PUj;f_n~fmwZk;
z>+R;<MP2kAYzD1U;82l7_I%`>eC7-M_8a<Mu@s;aUK&%RYqZcA&Y)+145aBScWw)D
z&G!7;&F}w>t+TrTK8Rxr_QSSZnVZ{gW%di=&hR_-|KibcXecorH8EP1f~NIgf;>mt
zz^wC(a7~O%+I0^4&r=kQ9_WuuJel`}IDiw%rYZvQK~FjFO+gfAQ^>pwj}vbZS&y`p
zcb)H#`yby>S?HBv3$Sc7Sj`@T5c!&Cx~kz^@7-ZJh`L{z!3&MHipAV#sYoqV;#o+D
z5uYrhgwmt+ne|(57i7CElg8k3KMZaY3A*Fb+%0~Sy1ZS}QA|gpf$s+Q=epcvZwizl
z2!#=MGraoxCcX5+G;pO$BjF+_8NA;Paf=T6_o~42+~NzI;*M^=2QPg8!Kj@UvsVu^
za=n5hLr{r2wkEc7CD}jq<N5?7q6310?-M*)@-ZM_z32gSZQFucjzRJW^Z}J1vut+Q
zM#N#t;P?0@7dR^E=goAynV12dGI%wgd7i;?1}Gv^O<4Y8^X&>P)~aAbk^AhBCPYZz
zscCHEgk;X_P=tG9CDx;N6ftnHDYwZTUqHr6GSo^`nV%iAsm}@N8=O|u4sLqaUbXw7
zhH3s_bgMVicZ@CoC{t1%c)KGkox&GP704O7r@0)qq~0-npTJ9-Z6m$iNYN@*$_3pr
zG{{Mku8lA|#JOna`YJhmcsgy$6}u+0Sgqtcw`y74E~G9EML$&7>DS300o4`PyNw<s
z@V>?Li^5onkc31+z=G{Y@jIySJiT#94g~h(Wydjo0QYff)D9`n<aT_6wE$o`L=6-(
zMC3W`ZR(?qJQ*8J<tuGtubi(&W@h!4+s5MUc@^+d{#*K*Xi{4jXf;6oB(&8`N%kE&
zjoeqH;v&GSQaaAReQ(NQJVAy`_CLHvGTOLmmMW9i_|D|}!c=(lal<T3534}cbod$K
z!;7s3#slSPs!k)bNU*|V*Wh<)$5?6U3haRQ5W~~ogx7P6d!*13Ks<hl@EtxzXir)E
z7TlZ7_Sq7OkGI(w8Q3Ujk#v^biT2zB2-OyqZA)vOZ&s6enUY)5wJ+ZcFU)16CUhjB
z$y!H9zhkw&G8gF=Z*PuslAbwo`nC{Bqb>GFAMM|+{jtI?=+lL|FI_kab&a<;FUn%k
zY`1SC`-a3MY;+UB%$s13^2>qG@tR;UKqw#|({DoC#C#M+mo1iiJSuk}CP%@cOydr0
z27CMxke`qb!z!?(_zq8!B>mL;y*s2R_?Cf``{gcu;Xhm1s^4=DMdr}s3wSnBT>uy>
zfUeel(jf*wRN*;p*&lq=VSr~MEkX&qB>9S+K8-tWtCJ!f&}DN)-;8<sINX|?Yk=pA
z0Rv^d&AlyXkrfmGhbnMAXZlja;EulpU{DZbm=DzPVN{#|4Oio*LDTOqp?+A~hXLtJ
zLy*t1)ZWJ&7ppD-Hdg~clrZf#$%gp*Cc%HEAA{Y8G_{6wGyr;QA)Zv74Un}^XjH|$
z^g;pr0R6WO&?5mY(Hsy!wYgt4omha~9jJXhfr3czb}ayy$_YuVV7fsSAnmkM?8|5Z
z?G&h6z4X_Ll_~ORrT=#wD4Mi}3d*DNshUbWCx=y`nFa-sV0qm_LuGDrM?C8R#vCYt
z`hGHhHAM6oY?tn!0TV@tk&y?mQ#2xrAjSq9s?&ao7`rZTRmdPo>v=>2xRw03apBdI
z#Dd<yLb@|&>2k922#SMpX&kglcNR9>P*eA-U&+q(pqXUxYW`c!)snB=I>|X009pyq
zZUL?KhkYy>GG+|6PV>;!yhV2XCmx?^jVz?P#y2QQyyH#2S3sSm4-QFy?~8)&iNK-p
z+8xgYVyAHh@TBf!Q5LAFDDuKpgCgG1=3&elcpPoF9p7E-D?ib}hzZir3;*|JfK$GT
zyb6>%#XkP@=tX*ql*!{<3W}a9`hd%)a<{~^0J?bjkushDb_(QBbyQP#`8#JaBFLwp
z*aVbw7235sk|bV%#1#Pf0?0>o?{;kJ0Fze%U~=~u!O08UT#H~k1%*q%W0Ck#SjG27
zT*$}mxP4(E=XI>yf9V@IjyjxS#yix@b(}$aNn$AFK_Z4Y>T?Yc{Da>tju?9(Hv>EZ
zo=Y`Y*yoMzSNk7VJ=w$CfE3QyvD>`~JY!HJvz@CFZuYV7YmG|<5Z!54AbX*9SbTBN
zc;JQ8e@$Qp5a(kP3D(1y@HZeL3)h6^Qi>M80x&{OqX%$`L|)2k3h<F{d4cmk1eN3m
zOAP$f=RKupjMjmTj9NgsLHsn7bW}Sgz`hU%^S^bhj%~RG-w`)|1PZm%92ao`??1r$
z1&ZZ>MGAWLA5e*u^8p`#%a$w^#9*>*JRa8!5LWan*Pyo{h=}59VHi{|1tXel&+i?g
zKy2u?5k~X&hS`zYxtbGH`iSCS{ZLs^Qs4YR(PVdI4R~XHRPF~Mdz*GdgQlLyB8g>E
zT6WOP*qQP87o)16-w}ap?>8RX6E=eq=P&c{7vdk=d|Ml6=iH8^8EQ`g9EABMK#~c&
zT169b&mHO@0<7x`Is6)33)CBe)i^BS4a|e$Erq3B%^&eh@bI~s#z6!qkGK6~HZYvY
z`>_&UA&~V3d{QbKNDQMYa?ZKsd=`B^3dq7w?jgPzA*U$1U*>6{2RCu)-@v7*>D~^H
z0;*M^8-c{ZHTWTW+!vf=0vQh#f}U}c(;r%Sl^3Wk1}fAxlt$fW<t=W)>$BaL{!@J5
zdPz~%MllSv&UL)RdQNJqIGQJ@gDIc$pLV?NK7rSf({&rgddz@|qa+s<@_Ed-9TVrQ
zJyS*UdB<V>!b=b(PeYI4s-)y@HSP-j^9>xPa?;n)l&8Z&Rhx02CA#anQDk!{TGh`X
zV=)m-y(oklT&;h>b_JM&?+tfA{Rv=oiPl#)a)-4!2T8eBz*+U8=i&YONz&75?oXw5
zZSWiLp&`{$cT9qmmdgWm_J`MR59w$T#Q#-E)^sDUFrnX~vUoO(XV@!D<&+*L#+((8
zD!#{I#T5adHm-uO@X_~10|lIwv3Iu~UC1BNHebJicI-eQ(9*PU8^x&X#;v4+iV^3M
z_*%b}PGUUNol39Uz>u0!0I1o9AoB;R#TVrGj>-21(wufankUC3TG=Ma)|h$BGGhv|
zv(IqQd<p2Y!&C?wE2Zl6FbsS;q2>>OGqBOR1R8aho=uz-Eyl=ytW(7RBgQW7&*&lu
z@pa&zvC*S)WVn6}x1N(xQmb>tjzLv`ZJ(5@Gd(ow4ty_@=e(e34T|w9S-5cK3;)TM
zyoEa$hN-04gVkzTiU#3EI1KQ3+d52mh8&H5Qkf@!9YI>k*ipeKt^C7Zi^Q?md5_J0
ztx~m;j_==1CBT-TaOt>nC)3SQ{R*uIt#qyd^gKdB*ZG3spoNju30b>eN1%Uxg-jB4
z8qR+Pc+GINq$9NSpSUo9N>&UfG$Uk|s3vW}DcDU`OZFiX9jb&EC}r@4KS-s)=vrgw
z*>w56b>;b`lHk~%-#tL-jZyi3lzlIlsy8W*7l)dcEd}d>a3?`QCdVE2Xu9m{`fFW>
zw#M!m_@LB;zpmf^4DOdJ2Qi>$&V+Dtn=u$E`pq-wiyXEf7<S%iY;g+^VhVFh8gHVp
z5|}qJwWy>3{>yK=Nn+KX;MLr7SGI?>G{&^Eq;W<Tz&nPTq)5gWq`ZE1ZP6O8A(ZaY
zlRbPjTv7__eDu~sm{?s-7NfgvYl{zoPvjQqHS#mIhM5-B_$kl=N1S_dh2&yXF<z&E
z;Hi842M{Rmb+$t{9+p-;{4a%h2Q9_9KW$MAT|F40TUyQ>J#-ig#I@0xPC#V~Z;^3C
z6>JAEG1V2ty4tL)UE#*fU^%jpYz7Tb906ipKzvV%d@R!Z+gfS!e%GP#oI5mDLAZXO
zly-DNWHW=G!IjeO4#XnyVQ6ffWE}%Od9P0SQBRzWZJ?t&a8~;LP&dpXC&58{4uWN+
zyW$b4wbVa`7i}EDZC%C0JB$WI!EgI2E?-LB^~37@xx)ah+JS;)jB>$xvxpld`#(ZE
zFZ?dU7_A3A14<C#J`d+Q-P0>ws{;OdR82i)yr0tfRvaXo+pd*trD#!#)&;bpY03m^
zxFMl&M{^$Wl?pHfuo&EA_swEiUaOIrXzPbtN)z!cnDWKa(8;(Y$G7Y&HDz7uHsHkk
zuMj>m;`w~W3<?9RMS6*iZ0UkaZ17H>ro&19(CV~qG)drplOUw+EP=5O^x6Xa*gksC
zTNdQ1*|$Jr^xrT5_#oeg^9*C#An}*z9_(~xa0Y-xoAde)pA0Jlf!?I0KyL&yA{IBZ
ze<SPnB@hcKvZ9E>Si_i)qL3(l_GdXLseLQcP?UN<<hUUS*@GT$u`i_A1b7;^Gb2%V
z)3QFpfX|oKyX%pXdi0@NCBy?XLPS}1gY?nibGq~U_C`?@WvA$u&tDH?(WCYyM6Sw+
zNA@}hSMu1pkpexwxXNzbfJQLEQ3@v4)_O%qb)t7Qq_cL|mg+yfq0sl2cnj}LhO0|h
z$xMt#FA%+US|6oKParbd)be4Q@h5?T)Plo8vYlE+k`f}H!at0B-#3XGF`Y|wy@mpW
z<kUR0aHFTr#vwnU|CMNlJtVJEU~S3jqB#{Q>aOuo{rtc5#2$yru_$!3ri<GJ)Q0=5
z_254z4Rh&3i3-EBbBTAG=92$_a`($OHe|Um`GQG<I_+9Thb26H&bdqR-uSy#`;EwW
z<2t)xYQxryw{ur=Tq6i%(R5)#l_L{+|1j`=s$%Y;l@~pOHT(#}oM8P;VqFGr=?XC1
zVI<AUB3)|etxF{?Z$ywjXicX!VQDjcKv3tRzRSywKsdCYq}{;pQ+o{;(8<igzCkF)
zw8<r&BEfRFu(e=}AE){9hZNy|>NR6bbW>Z5YY1A*>E?5OxD1tam~Occ2VF=lGM;$4
z^Njx$p<e>*P<W&FVki`xTyYFhr-bjvxK0D<8F^eE%))*N%OTfk0K)2~*t<$DL&aFx
zPw11oeq3<jQ;Y(XVnmYdiImX`z4U*0{CX&)?+bm4;H&cTOmD+offh&nZKm3P3A_;6
zDGZc?_WEqQ*S~LASpftcXge>h%TqfA6SBIJTl`D;pU8xQ@WaAuaxiQgE~IVf)$qS?
zeVP}rn#ZGABvs?~AkkS|F1xp>rZl6Od>-q=^AR{q=lRd5<%LrA>S+nH1+wXEsx4~T
zY(GZhxaHH-(4W@G$5;^+eUl`tDRSDM^#X^6IH6UP{(mGX#R;9U`oaMOH_Ww{=i2oT
zdj0L62olY1E_`+LA$21ZV)Ql3*@~!3Q6VZ%%d`8&)oL#{o37D(f(DYsnw#6v02<YT
zCLXI^CwS{Gszu$fL49S+hMc!!^Nv0wyw2;xPg6ys8G`orOVyYbQ$G~qK1$yE&zdtN
z(3noNrcM>fe~E7ZMGR|<B&8m)EZO3{q(A=$O>7E&MZ7CELOR$BiaK12qhD^ox<I1{
zqd*F5*>VtsrhI9tUKT++qM0B+dpV%(D2>`1#fz%7)_k#*SIJszI+%;Gx_)lhQ)-a=
za<M(A@<Z&YMV-As-c*y}-@){JSDylrfV<@%=3hml`X1JQFU=6m7*#2)&ODPT+Jf$I
zA-Y`&ahe7%!%}A9W&eQ%@)CEQ1-~+8n28-;=RQr^45qKMc>z;{yyBxq9JL$<6*rrB
zKgYDgz76h%hQqNzsy6HNLZm;QM3!##w`Z63V{V@(lYvg|li%eky>H_JXND65ke|c1
zhAM&^ARTA=|6)dNZKn2Wacth(A0ZbyV2@&MVTdC}@D-s&92tUiHp0jM8s(xBR%^qZ
zhWjz+Q~U(Ye8RgI_GAp2QZjaNFG5+cE)TXk@tv1?XNJ4kx9>w)kI!b*22^)M5EKua
z`n*p{ZpSf<A?<n%M7$?gh38l!&#UI@MG8+lBdMuA>O(j@4iA@q^+SG)>L-&~ho@~{
zOfw|+O)^|-oMqP<VLVDcQk3^UmQNUBW!-3%ID9a5IdHS^K7N%zr(SUkL5Dx`7wRO7
z74W(T^}6nI;}{abtcdc^i0IOo&36yxifJ5SEJ+{-T+`|bx%lYW`dKyT`(4_q%Ba5a
zsGLv3@E%<<qw5$^VkNV>(e}NlVtez~r*I;Gvbs|Wx)1d}7L@8f_j$Z>1hrKMFV|_8
z^yuYafr~>>h2Xao6i9<5QEDmMe0|1Bh!+IjmzeKM8<E?A71T%GHtBr{)g_iRYi>Ke
z{!uO||Ga(K?6dH(LNCuK8eS(lM<&;E9)DTyhkZF)`gIl|*O&R5vTtP)-xDATnay^m
zbE$113P%F24kzoXA<sM>J4@SL<mdM2P><W(+^hQ=P6v}}@z_Uye?D#hNVh^JVrv3X
ztch#A+*@-E4o7%Lb<4k2lda|3<$Pd)3yF|*93kn6k7y%CHg{Kd)h(>AFl9fv;?@&#
z{@oRgW7iG7pOHBd^xR0U=S_ZWZl9MAV!ZxK^iT2hBz*VV{plHdpJJwLJP*|$B^5o#
zyHAYaZ4t>&5?NiI8C0TaR_sLsiH!QkgnLL^!%C!(ZP|`3OgsQ36%S6Ib_nm-6qWG0
z+Y6yEBwTFJ|8)Tw6<;F6hQqe+p1JxNDu`_U*W;HUb!SEvCZ!qz^n_Rr5b%MyF!_>L
zwK%N13+E&BiA+kr17~6w)6}*Hv(WXIdyn7*^{Un<b6?XaWNNos-lQE#emv$2Pv~9z
zsy(U6kjSsv%Yiplh%#8ntk>#vetEY^Ge-D$Fuc#$w^O;~{IE4|a#xeUm{I?A;*guI
zC~C)UBZoN-vH?~c4@{lYgQLjfs*fREyx>s_KO~c5!+jZ(<_UkiXsBOvRU!MS2C3Hb
zzxJw~|Eu;XF|rqo^2Aa;!mpBb{Y3htuyPiQw?$&PRuS0!XMcGKrnbu(zV(IqyE#m^
z{%#t9r=?ZZi~pdi^Mv&@_84I?raxEzeA}Wg31L{xqVc%5G;^4FpH6ekdHBYaiRMxe
zmF!w0xri?-P1M$BMt#9eO9A)h!DZEx^{yW0AK#N4UoN95=<54vk##^JF=gktBse1L
z3ThSV{n1j!m}8chw#i(C+mVb7&~9-3L-<gpS>L^*AEH?yczXApvA%L_HAm)2jkY2z
z=TBg1Uc0x#FT;aC9g;NEYmiV=Pd00afg;7%eE=8^@;SI-wHO8QTRF94C_2nT_$xRR
zKrtIzM#0*zv(ci*)0DY&?s&e}tbUj$SoYMvaNl+z=3#f8bck$zB9e7_j{|IVT(Znr
zq#YXSA3+1se$22L|IE<m`C?4BvVCiys!$mu{8D@{V01?H;D-a3lgCd<kqBE_N&K?z
zPR{cC36E}Fxz+5N_Pyk1<}1gcSD<LUV(G$!Sp~iiG)=35Km6{O{nH=&N@NMfvUz#;
z>L*Yy53_l$ws%j@|C2tDO2a(yxOva!#{Waf2FLATT>B`op!53W`~@Lwo9o$$tj{w)
zXk{#iPzdrTeL7jdUUL$U=h^mNtb+7>5nT1M+OwS9o=lp?#h^add;2H3B9q+LTY=u=
zAh4PO9$~C_vT)4qep*^Zbp`iAX|*ULT6G^xTM>F77dnkz{YYX^``F)`*{6`%mcpxh
zf0#ODF&z6t>kq@;)DM|-I<r!>Sv#j!1}<CEtDG_T-BdbQvO6P*jGH)uKY5++J=+Fh
zHyk1r-t@S^I}s}AoVHZ#LI5ql@5su`mf!PsjW^z4Ac0o4bh-qUXepapw!zV2OwM&X
zsDhtZHkB<gMj3k&#G@SqFb&7tPbY%ckFDN5etOzSTLY83JFQFIYx0`*la|MXc)HW{
z&)XY<akf^5Bmr|CJe#53(W_#awA1}*KiK8MqzOFGzfq<|KE|UKIkbN}p~<?l>G=VG
z%};gTe8wc<jHy$vN7K`k-hcX^UFGYX+t<#b_V&k_g@lr+rNug#cpft)fiM;ei*IaZ
zQjY)RXT5$q9o!R19wjJdu$kD(XEaB5#aR|+AN<W1d=|P}YOeLHymdOba-AiPG4QG<
ztc~farxC?~As2mB*~FY=vt0Mjb^8Eux>B3EMgpT1+uyd0uBW-_dQU+e1L$W??<OXe
zR!SqTdm_^cJ_rkSxl)lj-X-+<kQ;@w6b-1Lv%x?Sq1}EN`Hg;3E*Hn<T=YYI5PPir
zwX{H?A6G93addAFn6f8NVCTul-26)G@Tfr1md4X9<dVdVNk&NOBRH~i_@Rrpcb=N^
zwKHqL**2M_MS|9URgaM{%BKia(i5?DV`xpl`Kl1$A)YZsKUh7sqYj!%8z_E??W?Wd
z`p*6$SB^PaQ$qrHJ+6nJ+QNtplWWmwE1JzOvNlK0B4e;G+fQV{_j#LgdyCs+_S}rS
zj4C`!H>$@%37B0&NqjF~j}*-Be{PU_{l1f*x=iXaMJshcf$e#@9*u=)@l(BIy!>Ng
zDwlVHqZmEbm=2o@B2yM;TAsFpK+1h^oT&oC)A7NNtGcFqa>I&Y-EU!hH_!1D_uLnB
zi7yxL`TMH0Owiqj?I$ELIT&xc){P2|T71-keYH}(B=l_XyKCv{>x89N`=~fY#-_wG
zT)MM$kNA5hD}u`-aJfEVLOAaT2HwG7pg>h{bWG~B>qu+*oBbBpX_m!dW_t9x8AJ~8
zxb(O$Tvuc?;2Oh{^U=DDnix&46`=H*cNRNQydK88Cgv{u7&Vcvu+_Y4%*fvy-GTME
z^em~A!N19$|7a%ro5E{<D~z7|S+5n1Esuv$X=fhFOMgo*IUNHwlNIkfs3#Hl*=igX
zYgfnWCOa|S-d}7K4jOn^R{-JX>im5c8FOnInW)68r;8gycV}zWe7zMLqO|gdGdS40
zkB$P?ZdQrkMl9R;*SCK!A8Vx63b?}^;h%5QGYgpF;(@^A`U*l)2EEv5qtkBgT*8Jm
zZ91MbLtjyLyi#%(s402gbU&ND@Ua~hn)t+dbs|4xfGlvTNm+EB9d-XXmhR+!m7_#8
zgU92~mATgfaL@~6a*_Q*gib!OZTpEpuTgV2dZhce@=kx9?PN&1iY6WRgXMzzRVkL?
zNR}~eyU_|xl%=Ma{>`ZuBj}cTh9j<{GLmvek6IIyKW)>fKXnFO<cA2tItJQ~-W^h~
zF&{v{fS(*%KqwR;w>#X@KK3qF8m#Ycyt1{u9*huWZT9B8;7?iMzu|WhO-vJ7tn>(B
z(5_XyU%SYol0n^Hea+;w)t{TCe{4D3dZd4J;^X)bv1-W5Yvk!#qnP~bxY=he!ge@=
z)48(=XS#0bZ^6tGvw(n`8ERzzT+_V%9{VSyN@!h;yCTJG_bSuch-9XvXQR~sxSK{B
zwTqS-EW^}?iRyewcPAV9)Yt#6TRF{dpS(PdKNBw{<Sy8s-*ol>sH~l3=Qj~w4QKI}
zKEJ2v+l}xD#PZM(WMsN5yL+cE>8msAi_NuP!cT24c82}==f85gtUNrzwXt{_30|j3
zB+3)~6>zeR&~YY^%RKv_JLiqsP*mBRJ?8l@iuH)cxy;}I`?{(0v?)$>J>U_Je|67q
z<*{Y;Vza%y=+p3aGd%}x{(p_f?l*o>yfHXK*+-T)oUQ>`1iZI*nkYnb&#slDUn%Bw
z>CCjUpG1jC_-gE`Rp8arKR&oUJv5s|;7nVO-};4+Sj`;&hI8lp(HjFF;yPO*JC;^|
zaO38A3aR~3@&Hz875!8D_2_H9(mbRtA$Ks6E7pKC42|@1rOfxezdw22WTAAmac-y-
zrf>l~BD_=_3Y5ruzgGxkl#~TGE1XBqoik?79GvqGCpM!3H`?YFJEIwHkQ#0e^PP+`
zu!){+Haw3fuVy3b_A-WAz!#Q>_x&^OBQrBg#FRuyNzrE1udQ%YYV4t(T|xPkmYEuD
z`6jq`@rD?6AHVaG{QAZ}PsLQ<x%wl0KC;6zA571`jg9;uTz|7|^?gg3Lqxa$yz4RH
z;Iy=T?*NGk{o31rW?5T<Uj?>CTl>e1tzS2(<^P$UM3c1ZKJJyCr2KliH)Uq<9PSg(
z_Tnd<!(5C76M8;)pF2I^if8u!`e=BmTWdYFV9R+#d@ADA>b=c}%{Bhv;GWRDh_TP@
zo%enTHG1rOzu_ene(P#l!kL+wIYK_S{eMk^gEGcaT`D_&kqsH|57QqWmb}4SqfZt(
z^K<MJE#K}k;v;zDug{T;FwX21nI0TB#(!rHOGe>X)yuih6`xr|Kkw}wk+_|Fn<e%_
zZ;KtUont#U#_xu8j?%7{mkAw{l67G9xWgg)*l06=rIRlvdQ16ZI||;$!GnXsXVH!3
zpWb4sm3{QImL_9+v04UWLn-4e{d%_T(PX}&$WlB_42f~I^W1J2<7DwWEG$jW`Y*E$
z$jYe4tp1c#-FHszQPSzU3*>Rh@v#506^lrzrz%yK@!>8AoSxupH<VzRGTQnF20Oy7
zBHS(T-<|N9!#Pr}aF%=^7lP4|$!TfG#KlU3AXI1SN9ITgzZJtFWOIPVmcZOF&8F!t
z*W>V553eMl#I}9fR+Nx}`L5vo6e&%S#}Pk1HREv;0DF^-wb6nf*91A`rY1RQgL^CJ
zb~rvE>fv!k;6LIf=bg`(51+Pl)&Gf0qBopQ!17?%{m#iGtw%WObsy6rHy10T)G<H*
zuj0JC$(bL=O9X8~zL(tYZ*@dFR^(_t9Bi*&|K%Wy_JDarC@ZsCD?_G-y_MPLH~K7_
zeshgP_}t4&k27Lo<8-{6ns%NcE$D+C5?EUn5|M6k?<0_%)ze3=dePIkl4KaeX86gX
zg8#ww%<`x6h7YzQv+hX>(J;Dhn`*n5FFXs3(}%<enZX|MuE_<c@ag+XO_tx{Rg9E}
z3sfI%pC51_s4Y$hQSG}P-=0E`tG=yok_6^gy4dRXje)K7d70)$=SJW;gC{L9PD4ed
z)#2<g`=ifT^2q$m@?WSBN&y0vI-47U3(GpQcX;^e8~2Ap$h<!H#01H_uy49bZ%&_x
z;7<>(NzB{$8y+JP<Db*w`rFZC;zb@9s3z;aa?0Fid>tiNRB@@BQj{uZFRJ}l3Q@%M
z5a6u*r>81AyL|ENNnsoWy~_1~wCGBJMNm2ypYnc3?Q4v{YZ2zmwu_CFxwEc+X8~9q
zV)w|z&WGc~giqm7VVyE?_<k5+X7i>#hudeaw9>$Q^R^Y;Jr3y~goQUHUm`?06+9fN
zDBpmf(F>>QpeRihmHRI@>mDvP_q=<X#ee67^{Wi6cMf5*1Tw4DndbTyx^!L}%8cJ7
zjb=g}EZ5!am?Z1sFw644HdUYD33!}NB}q@!zD97^+c1v4077Oj+EA0-euUe({4pVF
z%zNQ{#tYj&>u-M!S7>q2a}}H{vI}N$<k1jr9zB{}v@m*9@A@tFd`{nT8KlhHWOr>H
zBo;8?{j5^yrTx(F<rRHBW`EY~Q2)2==TC(Z29}TJQ}AjKYnT|j<wl8R^rE#`Z&wmd
zOK6AKHCtrAaLzg~<!jS#Q!@qA_<@i*x6(G$`u)((NVnuiR6|d}-vWFvQEMJ{2U+?3
zgghn>xoz#2UL#mv64){;?#+iTrMq~3;gZ*$<gCxRM`n*kzUnvL4s!c*XcVorm&ro~
zE#|A((J3`0B*{o8&^59Wm`y7Kt<lIno2T*}<CI|X&p=`&i}k-F-0R!@{e98w^j}*S
z=jZ1I-9?#(2b_+h<eo&2SADjTZE}*5F0;ApB?Do62F>MdNEh;0XP1Uij@PZ*O}J+$
zgugl|@f#u~T5j+=5}wZg(Ng;{kGYsLgRj1>+EGbaS$t=hJ0g|5y4_+MD;qT?ll^$R
zv1RU8Y|ooBmgz_Nt<$o{h#7hmq&W?7q$oM$m;vI2$JNJ%pGKiR_^&O<i$qDJi(MYP
z8EI+jYV5mh<$oZ3ed=i}hzo<=ya>w<^J28b*STGf$jHbz{Iks8Nn9u^RjSG9@i3VG
z3a876`9kw=0piOtN)!6(@YG-$LydAdqox_>WaxindZAbOs^~`0Ag|2UmmL$#i3`Gf
z^#_qHjfruSs2Od(u~uDEG0d~a-jLqXas!)5@3WCn72q}hpsUI<ba9U}Af$ZdoZHZ{
zzdpr*ZPsOrp0Yzp<6B+QoEboGm?|nMMIot_YRYy*#LG5FD6l~TA92k+48IeUz&*f^
zHO+?p86Ap7cKLTE!&oqXNoi8)QTOD+@z~VIcUXxv?34Cy3<VOJYt9GbHHq7HjOobC
zD#Y1`>IZLsb=m*JDQ|Q*N_C?hYsyksJ#5dfEFb+_YGrNh{O>x$ky?8yy8aeT>r0#K
z!QR8{qoD#uVdyJ#qjaJ6SLu`I`=&VL9!}rb#%E&FxaJ;%Wi6Mbb17b1Z|^VQ!y)O@
zUQ#*g+ZkrZ=Uj>Jm`7Ma>!yBg`%t_YR;H{(p%qt-{RC;c@tw{LG1~N`H-~cc!~4@(
z#YQwui%tqHkB&RBOsrA(SVT^qm%VA^tvd6*-3_|1RmVlLc9|ysTW0v^u<5FW#>J#e
zbHXJz?d#;m<A)4+gOklm$eol1wt*pG$XbR--{76bX&-|T6AQ)pb?k&|sIMN{?y+h0
z*2pUZ@t*50<Bt^CW{{8G;|6J_+kLi)=0)V!+v}eN%(Q&dN*B_W*CDnvVRLDG%cGB(
zJ{kY47!{|Old6UMI-m_bRj3=*W#^Sbt~6ke@pcP-j`?x-2MC(`C2&{sO-{q3$D%=*
z^4AYM>O<O&i}F|2hwFE}XioHELVeN_^!0SeWMVLboh|gzE><<Ycp!<$o&Q?W&6b7L
z$P7b$F4839CDBH+_z)poBAit29|S*^4FvFt_d;w0&U1<jR4(6a=fEB>LOwrdyyY|3
zT1)5sgGyt-yyRV4P+(+bV`NiMURGG~LkHq7<?y<g7nN+_T9<~qp`bHD=HM7>hiNwg
z9ufqPW{3Y)(9uqQa%lBCiV%E2^gbFC6B^5mCdtAKv8IW;@mH0nqum1bW~z%7cqU9?
z#?-U*ytDYCGs&Xd!V$#?`t{=@xDyxo`i8Sb^%I|mlKOH{Rjlr;%A#`4f)L5ufNopV
zB`*&<Ndna~RP94H**f7#2xWMq^#_zh=-Ew(+r*fIt)NW*Fmso7L5mgwhKCtd&!_EV
zn<W=@6aKm%>)-tkzt_kNNW<!*S8Jn>BB7H?d~2i;bSzJ$Yzcw4^A%DtxBvVpEi3xI
zint-~y(4b;@83`;b%@a=d3m0br?F?ME6dGhuPgJu_J$y#7vp0oWZz=0ldlP|zi+}(
zC1E8-V<Nv_Zwp;Cwqt0#ytvZQS+K8GrpNKVB|VQ0$VVdA{s-$M{;vB-(EDO@RPg4x
z1^IWz8Y-;9>~fn|`%075ShPH=a-1PUc4dBkNJ_cCi4+gf+L!#2+?GANtzq;ml%22l
zqKTJMhVue@j+J6!SUM7~_JgK5B2VqEZk3Km1W>-DhGJA?W@LC?TVPd4Q>_cDUVv?;
z?&a1d;^^(wXNcTkdD8L1{!|6p>C!|KuE~ynC}1YcrKqhcw!4E6C=l@mhN5@%$%**x
zp%%qtvw1ayG_KCl<FH*}Vs2cYth77~Ma8dX)qj2R@FAZ2a5jQx8%1!qvD09Ba#of+
zs*ujL^;JvGSoqKKDM1tLdM8@LRo7iMnE=d2@9}EA^KHs3x}?Qc6Kw_YiYHz{l5eGX
z5XzAYvCrj%t6@GTVPo1QcL~44blfe1(RSPkvHnAOV}m&DNw!saiW3R=mJiXIFyosc
za!#S`ZNE(87bkS+w6%77x^HP7e(5c>GL&1N+0QJD2<wY_^1u=;G_q6eX?Gu`zt?Fo
zCkjU!Fu(FyJZ!l-6a-Oj|HG%V{Z*f3o0Hw|aY;`5mXw~>_i%4cR(`V{?!$V$rcg67
z$n<aVVsW9Jj3KAU>gnmAFKP+?5l~B?cle+wUi#cJho7ve_VjJ%tZ#GCW*mMJQgA=4
zY_UP*`{-CO7KTGxF98$kD~2G(H?ZJyJkXz&wc)&YcMNxdp02KRUQ@&4LTtX{ENq2~
zv)dXjQ|twQH>h@TzSmuOvbE7$!1(iPXN4g?i)Um&E$^y*3y9z}G=g&kEUZn(re~-B
zGBHB}SJ7;7B8Hdp;y+@%X)_-p(M*?Ft28z%g!f>fLX8-0l*y_dz81RA7*-%cP=Hw=
z_j}kl_kx%NI~}|?Fsr~zKtx3JFVy%Jy;mYFr?63*+@~CY_<ThcE?Nol76qo`y^^uA
zvNB~%BotO<)K;(OF=qQVbJ$--tVCO1T<*<94C16hg0vG1yDOS)vnjk3x@nUji_Oh7
z1M($XcicJE=umh7BBl`D7+(?;cH2czP*f;%uwh6mjSxk?H)F9DHU9B1{ovIr?rCW;
zVYLY3S*GnBa}w^R5JSjTwJ12=xwh?YZ<d$cuP@F}MJE2V33drD&qP?nUY{ecY1(k)
z78J*3Cog`En`W!$Q1{eh=p?Sj3sSKRu%1KTb3{&6iXKK=`{9Lhd-^P6PWnCP<;;!f
zXe-iIXuvqTeH{9GCF*f^URkNZ^qGs=leyXL9ya7MldVNDHoYV*4Zl4)E=*gBCd7!u
z%D`>DmCEovE$xW@`CT~diOaVSX#)2B-)B~lf~$8{dnoPHu)`|I9+jWLRHpqznY;Y>
z`iaN6ue2_MamP)SV{y;i(R_4z?*h{A2@f6h0>#<Tp~ySvpbXUIjS*0xDtnlE{7g0R
ztuLhAu>`ZTpN#v2wNBL3)R3d(?+PE`qB1_Xd{IzH3JUrVAGV1uDk(oKC0kunt*TlU
zj~6Xv!zU-c(RD|E`w=+6414U4i>!XMJ%=S>4-t#XA=ghj%F>ltCcIl*+92L@eCYd*
zQ6uS_PM^M%AaiY=Oi2xWF8->becdJ#$+V`b#`^u6hxF4#?jLHBk~o@OY4Y2<`}-f&
zDMvh!KWu+@$f__$5;2rg<r}!_d2}`WlpVixIOI8$Q9m}}UN$VK%khew)CSs;F8s8F
zZ2gqA9KFTmId_omJpb{uv@{WGF>j~C>z`gaduqc@d;au^w4&lOaQVXg0=4B0FcqWG
zda>8gy4CprTLAH|@C!>y51<L!hBbUBy((sQcO^iURv?!n8gh-Tg*?oZ;Lu)qh{8&?
zmVcZ$^C?e6*uJ?Y&%cFk&rvUfX%fQqkv=XiPHDNbtLyH&x|-UHbs5am0wB3XFe^62
zQ&V#m_!v$PSi*n`25A2Z49v>}MY1<@s16ek%8RSOXe;-8CR*CN+s$W367@=G0c<QR
zAm6Sq7T89EA}7U!@gzjfrZyi8EM}wIiVtK!^>~ekWgu2PAV5Rj(csEE9p~%&%=^ng
zN$C{GhQR2!iK!{}5A`-(3<f|k#N)8l4@f(}k@nGYx)=aX4BEYkfXX8TH6%C~43?`0
zEQ4_cz?$OwI#=a<@E5^6I4B4ipJVq$U|tVGV=xHpWp2cRv7B6_(FZAV$EU#Bni^o)
z)EsL;&;wre6)^u3$wB`2_RfxosZC7^B8a)xIQ?t{c9aoPQ=5C1uvIk*>FFw(h!Ur}
z`b0F~NYj><W+4lCGir6*iMPuuD=RFK2o;6+1O%XY=zVv-4eC(AZ+fL(@xQ%?Q)7A;
zMa;jjy6OXTF$xL_049ixf)cFo+9DC~!3e=b6)-bx#rvQ2pJ6aMWOQNz_#~r%XZr~l
znoiFEL2rJ3o|cvth-Wrde*qC?>J(&cY+!a42fuWUPq=bqY^<@mdfmdL-W_1b-n@AO
zusK&ahMwpoB&%hb%uR2bfRGV5zjL3!2=SY_YSXGn5n-5X0E_E1DJ?J0Oi17WrClKG
zKTpqt0jCEcSx!YM2jAS&{&LfVmsY6bAUZq-Mt;kWYrWfeC_m1fV0?^y|ILw?+6;(g
zAJ9uNQO(&I3QSB1-&G1e6`%O@cNdJVe$Np+Yi;F|mzO6ZBGOt@`eb1da^s%*<A<}w
z9w?&Z*1W^UW~=yq`cJefjo~<(ot^!~e4oQk6A9ldJ4efE@D$OvDJ&a2+2DMjK~G<%
zC~&t0Y|Y10MT$U<y0o-pv?De$IjQn<vXcuj2-m7!>6<1Hs{uoEaIc_uZ2~FCqx7Md
zTNw{W>PGb<%r)O~AMm#qANJo#Ss)#GLp|T?#??Y0vJ--sPAVJIoLIXoJ~b8Lb$VMH
z|79~E&w<xO1O&1>^o4g|(5vxE7e;yR`q0`)lzATQdw=lOeB(|4n$NFIrV2mO$JO6(
zJ~M&7POWrz_cK3#8&IbTfbn%xKjb~X80U)NYe?(s>o?uN7_?HriJJRg{(0A@X8z8k
zASyC4=T-#g)A?Q|JQ@@V2JY;Tw4v-?_jZWcc1Co=fUr|kxRW6Dc4PYqOfx~uuFdM_
zAkOatUS1XaPdp8A1F=`eoue>qV*Sb;4KRf;)I5Lgqs-Z`lwjn8CRT1|!1!zCxjewJ
zqnm?2*efo6|C84ApAq}_reDAEq3etp-d`}LY1#K43++?@J#eO=53%eVmsbs#Eyl>m
zsKwC^9F;)MOv2*?e^AcN&CL>FGOMqnqobsR_E)!>1idKIxT0(0!)yvifPZ+X&?4pO
zO}&Nj1m5x^(bo~~^#*xti}gQKb^R%7s;{s9RL*PRS%sOwFB#T<wM?1IeTRb+!hayI
zZp5E`$^Ey;_ZRe9YY$kLz=NwwE}|Up;S9{x-uRA4fSlWAe20Z>a)qbC<GGoTn1~R3
zfUapcjRKad3WeSCm%k**8()Vnd75>*kSeC{6ZfL&T-68g?#8ChO)zTp%CD-tk1Q#E
z5(%gH4OIx-0FYgGZ?8xhrg_TG>D&vnpGL`13c4*dv;_H<q*NLicxEV6baZrb+_a9!
zT*`0IV_BhBq9tq^-q6@mJ~?nKwdadV!l~+)C$p-XePuDh!WnW<pP6YL+;=cg|H55a
zP?uL+KweqQ!CP5ST-Q0FH#?(Y>x8QN+WO8ufPqKwa~`4L7^RoOrFPOH_NOzxz$Jw@
z$dT}9eo2@@DHH3<hb?aD`pwDir`aAm!93rR?zQ}|CiRkamGIM3upSw@`er)&#CIN@
z_`I^b*f{Y2S-#_`(^NamDJ{tPQCd(~QBYKpS6ROQ$>y{9XVWhQ^A5w-8z^>Nt71&3
ziI?0=V<<y4aRPnkFiJPzs1FTzm4J1)-RJy~nw^~U-$I+k0zMt}n*|B?v^PBaI{0*@
zbTWuUJk!&E!9k0ae3sK|wvAQz>7AOI#vLy~%)xfk^C2ek2P~R{WSZe_vShVI*QD<r
z_Y0fzrmdOf-Ob)~Gptn$csFCBu>yVjuRD)Mx23bYl;04>boBl*kKMeaALU<TfZgwC
zTLtDcem=gnIl#kE7+De*2UpjR2qlPPsu#=2+QvfG_MWzu>)1`gKv^8`UE_Wl%F$w3
z$@{&}wCVe0i@0B|E<e<>&zJ`XKV(OXZ8Wv#C(4yNu_B~GY<fp=*QE#b%CglbAv#gf
zHlMOzeY_c~S18@sFll;clSQisx5)>i3fIE$khtbaAN`xt2PY8&oLr7DU*+oU5ttil
z6OTP8_!~)lx;NEZxKj{(C~z!S!erdvCBGTU2)KK8<6HCp%0~Hm&ykHo+getQYtwh|
z#kgr6%qV)z9T?=hh~C`-{<&QdZPM*_@a^K}f|Ga`)zKjo_)Gi=z%Z|_t^i{oEY!k|
zG_ng~r|qu-(-wrf4kWm!Bmxh>HE}xWU%eTG`I}`lm+c`v2Z@X64v>Gq(F?o!|Jr)%
zxGJCMTbLA3>28qj4(aah?k;KR?k+*PyF(g8Lg|tcNs&gn^Bwei@BO{^bNQEZ&g^Gq
zo|(PZUVCkpV{jfTFfuZZK@`0KH~;T22zp)O*t45Iu5y0H*4Tz{={TCgPB$0cCsBkp
z+X~0CvqgP~Z{+c=F5aF}(NDvS9F9fUxPcCsTbtn`!RY*B^ND`eg_mvMdg{sI1l8JA
z$-VUiDQx{b!N|s1^K1Tbk;8asXhGaYj$}T&(-a{b!F!yR;{<A=dQ4W{pnIcO5eGX`
z7fPamW|dZ8eP28RUdY5-`kCH$BhU95s9F|%3VwP^9p_`3b55!h|Lk$*288Bsbw>IP
zzx;HkxGXI-_MsbsVK4Cn`oO06;Zcf7WlJZdW@>ops!8N-8!wyt&_W@D9U(3Vb!r`m
zCi=Kwu;XZDqO?FLcdmHtGc2SViHa130~I;0w{O$mMFd%L6rCuE9Q^<iqIy-plRzT<
zoPlRwn4zlrp*VH5OpUqs3rRTSo7Z%|-V5Wv%t8>$%E}g{9~;JSSro13g&^35y$KN$
zZDm`EZmOuD^_gP1NDSkNW<UD{rylGO?twN)9!~jGpAT}A_-_J|^J}l%A|uB5i13K7
z_(p!tPAjFkoXDA?vmJ?1W$u+TeB4>J=&O!;$p78#8+ZP;Ua{Q_zn_SS{)~c>l68w(
z3?i7d#bOK(CP{J)rizI5k{llLCt51JaRg8XBAUU#Dah+0HR+$s7fqk6nS7P0yfqp0
z`o}hKl3qand@e;vNMHu)(h}PcOTeegk7dxR3qY`aA@9%|f&hwV!ct?*H5TXvZ+FN-
z{Do}gaVddPZDfy?R(<Gn%(7doyVx^)JIDoTNM)*L*_TV)cHFZfGBLI?I$8$XaY7CQ
zC&@!3DC>`tSyNcfSJBbcksTPqW0N_SBrwmpt=~}C{OMC{M8sNVAw504QCiR#!Z0p7
zGoOpn1_>mFK<6vG0+jlfJOmoA>y>u4x36Sq%%yVs7V3#I5)%VaDwPJnH6Ao2tlal1
z67cEQ2#dwV#Yb;mP&-bJ3I!uXx^Io*W~Cav_8<w?s<BF_-&_9*G!xednaYAAUOYFo
zx2t$A`4p_7Q<XUa&(TB!<qKUUde2b1BHQM}t065t_2cW{muaQ!SRsr^YtM<K#=>80
zT?B~VuH1`6tCBpBq;r#D)NLB|`CTyF-(T#0hs)p0H}>%IdV{nJs_cpQJRnqp!l-`>
zr3b%&hJ}qzqE5=Z(AY{h(h$$|6o5gle7Q(@Laffr$=G<mXvMqW*K#+o4>ZN5CfAmD
zWD8kUDZ#ac_6DNGt?Rzpk>4xTg^F^29v#6#LWk4hcCN(hmPg*f95tHReDi}e?#&Rc
zr_)dyrPrPxqr`^S;;z*_{<;Lcz7kmw3<#N&?=`;MB-OL862P_@dj`$g1MTRAig-c`
zDN{HcHlnQl-}nV}@X@h`F|@%v_s1HsaXz4K2zXGv^^+2^KZZl3xXo^d`v~kJB_F_v
zH)(+|(`<W1!pOU)?ci$SAaBq6%9PO5m%-Fmo}2M-GQVp_%lVaTqjNNyOZ0T(E0>qU
zdR6B<i+jfUm`KUu@AP;W9G}#LRSD{H;oy!yztvea*ts+7CxU&|NiRs4G37eG^(O=k
zwJ8EW2@pN`V6cnf;&d)4Pj#|}<G<}#S@be<r2^9<CS(GW*WmdU=a&dFZd<WaIV^&8
zX#V?Y)rRO;*V&7vSvPidjv4hmMs;&cbMcVkvY+(9M~B#p2J!$&b(2?DM_j_!oDtWk
zrl+YCa-0oHin=do$ht=h`BcX_)xa^kw`*@AIsTiRGd`9xMzHESbHNH#l2tl)V^AzY
z_%;2LF{;vQ#E1Eih+92rZFAh(iiV08hANJoHC1JKB?Z7iJ~uq8zHga2tFE?-b|3@3
zCcIQwKx8*h4I`1;c=!p$$5h><^zeYIP0xW%X&P8q3cfPi;?BL{VVf+|vVj(}4)@7D
z3``!9hKh`af{coS=Jtk~u!j8Ris<5!`kahNffOOwA$Zy9?hJ^ld0pvT?+g0oA9xJY
zSy8f{imIpR-(`~;qX5KwoLyX11P^;S5U=Qy{i(95hOx4&H!Ur$Bq}g2qr5vKJ+P!W
zl2WiBE+I>o{6m7h%5wrQBH%Z?kaF-5k6zM#kWMN)B)|yeKQ5+`KpG#o!25b^J8eC*
zR?Qrs*{bT>VL3H$ygF9-KBr{w`WfCY0?YI!ueCF;jGeRX*v8C8!=St?G|qNe0>xK$
zL(_jXQGn_TO=(Fa#PcfVu|O3~a7cunnuQ3R-4Zm1>9uDDsp>mie(kQA>l-}}!Nuxy
zGJ!*=aW8Q*@I3jYu2E`+Rb=)%RKTZbvb(FcF+aDlK2$k5ig4HEHJ2CF^E{(KmZSDi
zO5R^2>b$SsiI~&Xg{-b#noik*QC%9sM~K7~HyFn{igWLEFi?)5rlVQV-r3k&tkJh{
za1wF8Of5u4bW;oF8-wD_V7F_dDaV^DB6yyXXM0UZg|<oigA(x)X(9W^MJBymX{>Ui
zV`JT%okg~GGb1e>C|`K~kVA09?9k#~h^Olr!P3!RD2z#-&keoSzC5pv{xRSWTq{Xo
zgnvJofCQ=Y?gNtLo_H2aP;l`2p&2NCj1j=b#RavvGM%}6zL!2`sI?`__`$r^)-rRp
z#nr{6HRlHfaP>6UN90$?O^18d<FAv>-#RI9eiHv@r3ea%uL8W3TBs=uN{=gu`9MeS
zz(yWwMWCV+$op%as>|tGBCfdHAfPmM<~Ik&3@eAL{1`oayu!=)VVvpN@gbEK8egPC
z<%U<or%}VvBNfARYrW+Tg~2A_NENg%b@pVubShpfR^Ztbc*!O%E|in~dzv*Quu)ps
zu*oCqU<4koH-PRs1_nk-S{hlHwYE0yWuVS&{HIUs$NN?kc67fgEgh<Y_fHyQa-ZT}
z?pal6>PA0l%AM5@-8j*}B9w<pYm0YQ;PEqXFt}lIs8e|C+O2jwXd0>`x=!sSy)-}|
zaK=g#?P6n_sbiUHZkY_Tks8nH=aQX4`+Gd(AS4J-O*GQgnyM-(X@M#T(7ZW+NEly5
zMP*OGs53g5jBc2KxS=vTvbyaHaC}O8O^rhCHqF@M=6d6^LlfhwKS>9q1vAU`P?&cf
z+$W7@6*RV}xD$Bqm=$mTvD!H@A#YDJ?auleM}j?fLk7|D;*!M4Q_r>g!$@Oah8@uT
zdH}UL9}g>SZM@<>68*Lx$zXqStEwnipqtdzFK;ht5Yd$MJ~h$>h|tr^&|B;aryre;
z)liBa2sCfw(VUSCJkWkS;2oGdm{u^T(Wym(VZcN$;y^Y`e5yxCOIxR<qnpU&Isyeg
z6*V=N2b>lD@d``0+6jh|dIclUiXKQBVXZ+A1O>Up?*tzQ$K||*^5ofSj>L{qbV&Za
zD%#{dzP<|N6UGhP6y%KwFre-}AOoKFdL=x1Z|Q0H=#_H4uO9s>0ajjN_07W(>NnAi
z&G%L8tp66=3K1;0j%e)RIus-a$ESL9O1IZL*aU0iu%1OE!7b67DWusdE_B_C-dCOy
zi5Ol*jDKGvF(FELkcKLJaA7?mkyaY)HCZ{UDmXt#qUXM&E~BO{r)I3B-BwpupWpG2
z&k_70lP`+T`m3Un#x#1Ru=V`ta@E%*p)%Kn43d_d8+V5NdBFqV9g`rk!`FT{B`Ez_
zTzA|lv}|LUIExyl9ed4==*H2+&K~m`(NRxGUL1j?6$5kav@kZw`8{*!e)7Y1fv5T>
zVTTg?6ez^Zf0O)3CUn{MBsKYYi6lW+iwG|r>ylbtQ+Ihq<g;QzWq!^JF0qYNjAIWj
zzW#^!Xym4ul%+qfTPX;nMgP5n(-Z(OcJ)+!Cy!1|Th51><H655@NL$|Ls8L}@S<d2
zMVb&29l9DYLJn`JEQWrM>)>H%1?9Yao>!rt6kt(m5ba}aI^vBx+|$UC1n(%SnmRB4
zpa$yu9!RI7pBmRSPF~e<z4f6`7`#=B{b%&=BnaTK^B|L^A+L-Gf1z)=TG}XR$YAm9
zw6?yWz|L0<G-&RK5B*k(xtN*QVw_*DEdD%RfDh{0qbGa=z>LtZo(coM#~%58t}L%%
zDJX@bae103fz9R19<5zbwEu#r_Tj&wq9LyS0DK;Ng^D?&D5gL@oXl6h8mh|<rh(>%
z2^3@V*F?oe9UuJV|BlX65kSE3OqbTim(&)=d^7j{q}k1d1lguQfyk#7XQxb1o(AO;
zX?yO!pEpZ>ev(B&s!YYX%A&`OX;obp-)m)Wb#YqksDS(&3mc94!q7OSPvy^VJ3VSy
zb+vi9W!oPtub8E{Y6@sF-x`XhvYL<ZJxLguDNkP~$4zYFGptLi^D_)b$xxnmOKgwe
z)4dDuhU)6-78Vw=vIuG-sfbT;aB#SJdEs6F9e?h+cdOl}EM=*2LFa9$Xoa^XB#sQM
zvp)y)UL$f?6?Ar1kuc5oj}{0=W?8Pm*~lY49HyOVm#hzA1&)E<1xu~Uii)5Z*x1nb
z;sZzk<mZzjkq*yMw=&rS(97NZ5~!Yuii!e>NKSySfqp2RpyG5XO|KJe`bOjAv}i8m
z4L~lM8)NI0)I)1hGBVh&9=JN~KDFO0p6~B9yM5Qme`nuNP+OSOSZ<=MO#1mnhWPl3
zzTk-q47w&`7SZB}BD18;ZbOueJjY@d3CGF|Dymgn4?y}lTz8#8Z#7U7{H!qn+LJ7I
zyyxQNq%^O2Yg5ettzHMa4yvp%+$TY4bq=>v0YH90>}hSE%<4%DR{dO6f|9t(B1B=B
zetKR*T^-ehFL-R#-#}m8?T_&AAF8*F0tTnc8H%-feBWbmda*+dZo>_4`q!bQTpZ!#
z-2Lj?@+l1!WWZt8g9TtkBp4VNxojRx9oUrD&HYx550^Vr8z2nKVKskgu?}Lvcf15r
zxwgD6V;>T+QjghZ)%zL8ZoYpb&|iv;k!$+o78al0^sADXo#WHwNFm&NOGV<VjPRR|
z<nZNg+~M=PiB(C7i+w(0tt-Rks=J-#`Sj7g&qrZy)$jApzP{4{55SV%{TNsp|L~;<
zJ(oW=GRoEI%tU~5kyTYqDM8R>ID$dYCpJD2bsb&uJOtvE#pe%cnl0X26VM%;RSyT>
z<5#sg4f*JxHZea8;le6tw96fxD}Yl#7bb5MC|T?S71C#EMO{{<&m_#IUt>VfY&84n
zPnm1c#8fhqJrp5NQ*Ak_e<>h2{k$Ht)N<zcvQktrxi4y2Ion@?UH0K~X{gEha@qCm
zAX_hOEEo2>j)TJ`+;>nc%;I;@-_l}#yLB4+y)3MFTHK{1Hv9Z?@0}k{)4TapL_?N0
zm&B~MAej;s9es>SyOC#X%EA7`5zJwi-d5byWcC%mucCr(HRnWGL*whmKz*Ke?{`Zl
z-hKv$Rpq8iRBZeg-;U<Zib|1)SaRCL`>#HR#EjQa%0!usVxf{RE5L}o2{50FM5iKp
z>l`xb{Kg66`xx_#F(Z&yoRPpXkj_Q_9xOTrFW;ji$<R_KwzJo(p?7(6yJ_e!IzFn!
z>`iNDr}_=qEXLSnt5&P--c}b5n_AsTk?6z&ldC2Rd6#V``)WHj=Xj2{af^jeC^XoM
z%X|?|zx^tw(deeW@9v|IBsLeE<<&E*Q1Q{N?rCz$ClGK}3Z|1xsO{DHR*-p-Xy_`l
zxSf0YM{Ra9+_Hn)84TJk-4|vLMqSm|nAumluRN6IQT%MH71Y${m!f12x0bi!0-7>#
zmZf0G#nzsYz%2%qE%J~S%rTMTJJ4mtiLU_jYIupkl}Kc(L~aX~b6Q<hMQw1fywM|a
zUtM26Hn}>vwEOd2y#Jvf-Th<f>ftiN&)eRwskym7k2o|1CHbogSeNxXe8z_cvZcLm
zV3{MYTdBe?|MY9a>1iR14NGl|aN5mWvweG#^LwN}UHMbPZ;%rL=zk7@*2jyRjWk0O
z>6kx@Lat+)$g$Zd*nfVmgrohvHOJ5<Vv8|9zH>YX<8Mi3o7_HN?)97>!-CARn4O<5
zHP>jq=9*=~GH`QsZMOR{tp?jRM0J<7Bv(w2NItlHE?mXE5i6h=@#nw<M*k(o%*;%9
zOjbbXRLJ$hHi8o%#2K{y+J}oA$n?KSHZH0vfZB|awzM>7M&Q@)dM~I2p^q{@8_~}n
zKEZP1al~(QJ!BdlN3{5}auvmH-1HRR9#@>XQ$Jo#Lrvw&|C_QGvH4)F;_f4JSXXmt
zVjYV|3Ic>#n6(TukQb@$&UQ#42n5|`p7j-+!QEpH5>u?G_OdbE*;Pil(TX*VYLT1f
z)_)+xZ64<7a8}<a=8A>ucl_S^ll%1RUO3I6>m={!#|_zSQ0W`uClUhRF7JJwRDl-z
z`}es^w##?-E_>9Y&J+{_bl4M*o@ZA+U$XR<?Fk*Fel<dh?z?|xsg=-`NX)ONshQ|r
zsyiz^GA$r-efc^}{b>Dx7iDe!kKm}6x82>P$<NKyWJ71hgQ0!jEH(8()gga$(I+%W
zPWT>c=KIkp8M?k4|D2fEa;u_=gaj0O`#&z*29GlDijod2L2z{ELLE%jlNeFYPskMZ
zZ3`<UO5BHnqBz%`xcmKf$>(H&tgo?zGq88F7UKqMyWeqjH-mhu_^UW(W;ycC7_xbx
z=Q^y9#s(N$7!6XrUVN>nut_l98;u_urN4t|b3I}H<{9ca(v5*(_kZYdPxg5B>He>f
zERD?F2MV;mkovCX+?*7l@~`8(J7UV5xBpRDRu=J7+|Z7Jv6|bL!OQGDoF=}n-{-&1
zFD6t31Z3%#D%V(r<>lp*>fTO0Jv{-?Qe=2|xFkecPL9uYM@hB#{=T)9oBeuD_uYw$
z`@sSvGRb}X7<t{H&(q_B1+CO)_{QM3Nq(QF4^Ynrgbj57cmb-6s!|+K1L>|*9})cH
z#_TO578%;>%ZIO(KPIL0Y@85e>A_-Bw&Kmr&V~zUDl5lnI=FjTNQC(dY4SbzKb-s=
zGKG78@PKds%U{IC`Axj0gY8jJL5UaYXzhGMoWcf?sIzl}a|5gW0Rh0SVc%g>RF^OM
zUDbCa-*xEVCI5V@EHvFECiEI+jUNY<WT9a~INTd(;egy-PFfn=6#+M7K%HiX`yU%u
zqi^xVPoRZHUJZxN@Prtwq@<)zr_T*5Tg@LPgZ1_GdmecTqt_rgSJBe)UKO(_7a5sV
zHjPmnB2v?R>_HV)9&sHc-xj)uHv2kFbhB(;LT)yS=XJCU92?ygViPaL%AiHRX7>HD
z@Rp~o6@k{p>c`U3%V7dErP4fS8k+J>mWr#ABMnp7%gov6@R;lQCjwXQS9H3(aGIna
z+QJyPI9@_SlhH3mDFg1>z~(1+4T*hZae^+ic(NLKH~Aaj4@m_=m^8l0O2go>sd!~~
zBN+oj?GE}ct^&0VU|BAI<xh(Hc|(6;d^Q#q&y83v5Jx2-m@^6p_>F#SUnaYd!RHhJ
z*jgF<bt1i1$eE?>TvdHTgGl4E+9`<rWI&&Q1)%BxUuOb)*>&%|gg8w6owxI@0lxza
zEIb-P=zZ}?TJ*-{+v)A!N9Epc3&siMu|7|=6*ZmDZ?qhKD>|mFG)$GIH@CLG+TO*F
zijw((ySr+)$Zv9B7U@RuBkX}kr~55CNp0(CwBb8Rir+HLY&IZe7FdEHq%CYWS29wp
z)BEu|$^?ejLdQ`zFUY<1%MK0>UIXof{J<|UaAU~%^?0eADb7H^r?|M7dyiDB350MU
zoy@4y1i#<x;R`ypP!oc72bWz!6TJS9e5$zoAe(x7eVwP^;BW|JfMD?xo$(s`YD8#4
zPn<z~6T70~@p|C^>QHut=-`sQcx^FwrrKZceFJL~=l4eT+1WXipVMZ2>&933HDNcb
zX~D@TUmoMQH*fdLcUB%X04izj08h@0n&1W%qg=Go01+LmqF#M>+P{+Y>({SmrL37U
zWo>Qkx-3w}Evv7;+}9_ns``Cm0+~mnYdVaza0@7jNW|c<I4p7d(ah<uPazsJCqUaS
z0mTkuzu>VWkm6R#tdoiUs@w!*Qvsq)Kp&a|$&ZHBaDMKps;cV8J1s{|O})mP#qOQr
zX9!Z-g920!r9q)Ygbc1L1d}I~>H56y*+<8i_^v0qa*+%))lG!av=64Ih8^_;S34A4
z9$QJaU%hPL<|SuCO<)Z?IIug1?~)f4C42J*s^f=I0<YJ(6+cS`)23$Fy8ZFm7cI@r
z?Vi(lAVIfPn4PWf?0ouxPBSYz8~0UlS{k-$2%!gcP{u3%VC@(Sn2i=ugcCG?b#(HT
zb0or-RnltXSgmQM0O~?65PwUiY7*NM|Crh4zVi5i)z-QqX7A63BwfF?rDRQwl4s`V
zAWI-XyG>j#FE2rdvVN!?pkH(n+6*WZUZM`&YIUc#7yC~>Cnl^94-ffeEW6-C=SQo=
zI)rGW^OT>ZG&Nhm2BBawxVgFEj)urqtkaf>PJ=jq8~2k0Fc(&Ew_R;Zd(q|yV<xBO
zGFY2j^3tkz8WeEmvJq~2{0%R5E1^I0dEO6>HNaMO&DUo6kM(uZSWo<=7|MT$;__GG
zYH3<(K%alQNTpx-`j=YIEla||!9hv+EHtD=G$2EbrBdG;@g3R0!GYT{s@fF9G;HH6
zLVh@-bx5z4E2pL<;36p0=qo_W!Z4bFQ@U|oqd-jF<GL~)qn?1ZH6xJ4?KkSN;B_5S
z17ZmH8Xl<MvAkYr=+_^NWK--)gwyP&_sDLOn)#w_3O_bPRoMIU$H+1SQEvY+A^l1^
zcI`M7daU)x;r-~$!a2^q`Hy_a(E-SZ@kC<m>a>?Wt&^|f$2+kzX)aUCg+aL4Dh(ld
z=R^%@o1wK2q#Tdh-S#cUvk;W2<UR)IyB@!Q3#|gBxyHuEKtu2B;zAr%Z;nG}aRy?0
zEHiw}QH};l3!K&5+&z%VFBfw`aMI9l3ex@p-j{Y&>%B;D%Sb!~Uj4KTZ^}%*6X}%+
zodsvfe^R_DKwo?GqMM&sjS_&Hfm*V^_uy8M)NQPc&-SqH5t#R%l)8S2Wrt<3Ly3rt
zE4aCwt;=~#J8a?8>bO*7UFLY(p9_yYl^-mk<XCH;IVT`pD-r`25*^{^!Su^r>&gH+
z)vwz?R+g8M(`K_5nOJPa$<g)3b@sg<q(1S==ZEiMO#VwZ+mD7VU$9w%B0~*$_7DHu
zU3}H|cDGyXJaj>4tE}ZZ5E|7GW+6{gkQwRlpmYDB3pp(FGHE|lhZ3M0q!5MhmMuR;
zIS))5KYa>iR98}h7?72hNBsJh8#i!n)~cNO`%6{gQEw|m1KB(Y<`yGwg7zLBCPBCx
z?x?`v8YSv<RlHty#z>yt3Dhb*0+3;kQgn4a2jYK)1pr^}@e-(RX%K)#!(O{OQ*7dx
z8K@a$aVA@uizI`))-*6cdaQlpau>hKsC{7%{AID2fG{}4USb8}BWx5t&&4W1<O7pK
zdAW$Y^`GkcUgtLsXE{H)L=z`A)H^vG>KZbJ<GQ{Ddtc^qI!U>^Tl`OI<LuXQ>j6zc
zzINhz|M|IfQ-hX<dSXG(jLPtHJzJghUG2=>Tm=8|n4lE^8Cx~N<mm{fnY=bVR)#Z2
zqCQ3imtbt_%f6SlbQzzTo3YfE9f_bMc)t*^o12-1B;y{?y7b0KA?*e5&1f(phm1Dr
z<q)zAVx93Zake>58~L*|&1#_==VPO97!sj6I-NB%HH#0Z+j5DfpY39}TCI+!6j`FS
zyeqH*!2`7j%EIiEedGRI<J0f*BeJvPflB`;w~nqtSqYu#^2)@F44ucoFC8uKz)df_
z+5?aIQL{A9fp}Cu>b!6;!qSQ5SfQ#We|PPm0!RU@stMF!ea>y;+TqX*MG}E+zgG0Q
z1wG{;!8>A>^n8lwVu3`{5S*+>eqSLQKwv^@SEn<M{Fpxjbv|uv{Yfphv-U0$rIF+D
z%CeBf@Pt~q4FiEEqJeLcVwpy)|3BuV3-+o05?}pClClZyp9^dk9G^aojO_E6Y!+7*
zTUb~5K3SLKHX_hLDV2g_5tu+C4+X-TjHdEh3HbhE46SrdqRXbl#a|=6UV%oY{}<Qs
z)kir3FAipQcV{PnZjBS52b=R!?gh3SJ>5{$%vTv<t0?H=><h>Pnpx=#Au7o;SXU<!
zaJOIG<RA9|PSh(K>%%Ds>&fR0y>wnSF+P4sN}04W?7Drf8DTkCEM8hVAcMO)-p}H5
zhu7VA99};@>gc#Q*apQi1;O6_U&DS?V(%*)dEdM^rsK*`0>RjXDJf1`PMnv8fxe#j
za}Xp1V6G+fwQd2){c7h&l-}Xl?rfMVkB0^~enx@*M^TCD2V?9fvg96rXfDOiYYE+|
z5?8_sxsZL=m@#srB0O)`3d7Tm0C|x_Xnlzyw^r-;aZ&x1Y*ci&R!jB|E6|GZV~?`7
z&jH>v@rB#PIUEupnHKFXyASJG#om(qRP=wSS<W-8Rg*iPa3?7?4SjF7Jr=mUbpC0U
zVmXodPoGz5L4l3c{kxDan6E6YZTH7BI@qbGMtXmlTg?Oo-N!Ux(BboPaOC%oPfW~C
zPbZ$L*y*W^pQVhx5BG*=bF2W^qfjLR{L!nzS^de_H)tq+ac1*|2z-O*hs*eWIpSs%
zZ9l=q^tL(6>c_YoFGphl*=<(n2YXR!5G4c+6VUGL?EJFPYAh$v*MBI9B2UZB)-*G&
zqG`J<H-DZ%Kzc)hJhUwU%f_o1Ek=Ig#2VvkfX$x~T)XlR?vA(%K*tbN1hwS@tx2-b
z#8|*x|2y#>2#)?;fLU@f&b_U3=FVPGUE`P0FaF^#<1o%;Fa%|1WdlPM+KpG$o^($I
z^WRtro**|gbdNFo1>(i~`YtR~Ljz?BI8#7}MmgG-FzX$3c=GDq2$CX)23u+jeWB$Y
zu}JotIH*V3@3ILHA45VyNbYUVAj&Z&>*Nzg2&|q6(kvzU8ax;9J5w#ZE+s}MQQn_4
zErjVt$_@))-g+!5y;p?>*}lLq1sJo)o~1SyCc|#v#Ge9zS60$CGifh`ktn6cXA!^(
z^~%Ggwlly*lxgL{b;!B9C8%y0KHi|{+zIYj)W)gEX(dpXX5<Vhoy)UWc(BYzJvoX!
zKXp#9@u+_hr1Sz9+=~X>;UnPOh=_`YBjQU8>xtSJvHDyegLW?logRr*u823sE_oA9
zd@I<1Z90^6)_=V+?p}f?IWB3jg*9@cM8Vt%r}*8SxMQ}a*=CB|UlX4n;ao`mnU;bI
z1@xNro9%GLtKJdSw72sdq#4cnd}`Jk23%7;Lu7{$#dz|s0M+(7?oBo_^fuIdCEdhi
zX>aixgQDm+pI54}ebwyG)!`o%um)<sU&A7X!`F!md8}H*%7BVG6(uF1TfIU@7&hQB
zBEEiIcTf8<@*F5Tf!@F#KsnLE$LFP><kHox^1JK%cwAiEm6es<-Q9bF8Vaf0jl~!#
zy`1x`q(04GXHm5GJUVZ6zPGQ-t^sybLDK1c!Rb;^QdUsX?@=gyH*;h-XhTa=Su$si
zD>RJahyZp3_*y#l6qyun{ASA4w}{&I3w7(!Ox=ScBQB1P5pi)27T1VJ_7x2WdoJne
z={Y$$lY1F>c>6a+6ZHbH2k_5SuphcK=9nKC-6_X8CGc#9MTQeUXx<-Nx3@>B<fX+X
zv^X|qG??72K6dM>s_LriL(3ykr=(z<bEv;|o0U7~ppRt-oF7D2wKf_)X>piEB*=BQ
z&@ef%wiaXC)9gOW(BmJVHQ_Rdl@N9HJw4lMY8WqP5pkIF($~+9>`RbT$vbZKG&E8>
zI(VDfHRBSiUxI`Y!zumMtIw{jIpmwm9x3(P{q`WAPKU0~CTedA&0t>K-dYyKbZ<B|
zNTV<`swg$aK(p!Q%+Y<pEo!LQCv7q2js0$b)~zgkX+k_-)SF@eiFTMUFQ1d3l>|lx
z{rM&QoznwYFwYF4*r&<g%vxoJUS3{WW=oBh$OYE(-o~)0L&m8lKsJm?E6{MbHaO$}
z>i6S~25uN#M?CC%^7qZteX}*$wrU~{b}GXC8{0$a1A7%w8GE#}GD>cXXBCyQvYu~Y
z&9NkOkWzX2g6(-1XJEy5tSX;2a<4el_{U=1TG<FlDcZcaax}kqzi&!QxG2Yaz6$bU
zQ2-x2kdmr(8OTdPtr%2PRvNe1UjN$OuzUiFhDw3CeYNx-p_u|$Ws>ev#X-7sN>Vn+
zWE(3L8$&bYq~hcWos!Pp&759Xq^)v(bD0X)`^l5FsiPw_lD^y(yVul{Z{?1R4-;cA
zzH9|zmkbQ5M?!M1V<2iR{=e6Z!DNB6#riv?l^ZuXWZ@z}=IcXi{w-Ks6*kKqyo-y=
zTV9k?&E6m7#`4U*_UgPYgj~A5?|GrAWcAT~FT#ciLe5+`!2(<yhYnIjYF7;{CdEaM
zcu+A4s%eyE^DjoHw528#wu8G5UK|3>x}G*%@LqnFlZ7SFq@Uir0O_23hKZg&COTU5
zS9QzEuhmw-FAWHQc$BoJBq3K2>Hqc(XextX57)gM<W;3qAsj9T9xgOM!u1BwpVhj@
zB^tk7FU82g`zQ1`MVjVX5^@txP03j9<;4+Tf9MAk1fddy9<AA!`^n^MW1PL&r7mwS
zJz}=2IXasXVFb({3kyAjgw6e5ejWpL)9LAH@|naccG=sks!@!gA2LwPYYbVx<5iXX
zb2@TU)fa{}$USw9rEhLB6%QpS<Ovs?dTg7M4x$#Hy;b-b)E-YL7~D*DYZY^IbN)Ag
z<{Ip8it~GKbAv1jbfhM<gSXb|*NCgE+y{XSD$3~SXbb}`_cYV43qd+OnrILV`%Fp+
zvfI(2z5A`s`Q}f>SJC?l;!f-82FkEM*AG8CXycYM_%^Z)xUKaTCA=0BIz;GcdZu`n
z2|uS>l9E)qPC(BqGa&TovNc+s79TI0O8>==gZs!{tKT6mIT^hJ$}#`_VQzTdS+$;r
z!f)X)Mk0%By_ks*!PT=XLS#7f_i${Y{Bv*Swy{zq21-}sr4e1ZbXgb%g))~0hx*tg
zOi7?vg^hNni{bI`QBjS}%|p9fm6erIbR{Lf_4NfO60a;P0nq{=Y6>G+R9+sb3J)}*
z0(z-FDq1t5to`M6G4fG4zkx>TL;7PgKQeJT{E+gwR$zKcB|Mmi%9gDB#w}Qwk?}3>
zr6*?rud5T6p#TSpCGT$-M#Ny?PvDZ)nU7#e4QEBQ`aSTxcD@ETpkb8`D_LDrQ$JQa
zkez+j{ayK3r~MpQKjSa}Y1_w~l5_{D@o$X&d)cs1T7HB$X3_fwc3aguRcBnLgw?OB
z#?Gt9Tt9J;7wB(drV1!dD9Vf|N{w7JaUE>D+uAo9?Hw$aeZHZEI@|#*{t+maS&n{0
zB_fKedwIO`g7zXPx7Yp%=$oZ78Lpr#fDpRATU$?WsV>4<i(KfIAo{r6HWlHT8+W5(
zO<gcz!ta{?DjqJff;MVPVo~B&2k=V6+VKeSuA9(ROhUGYhnR*&8ODd{WPF|A`(|}&
zOKT&)S-lsB<!N9b7q9qR8w9`b;|Hl0mWCSY5RnA8o7+X$at|{6s0R>aw$b{%v(xIl
zIgClC;R^0-W17u6agd2@9#s9TN19hqH90g3gAF4yPV1MdlaOG5@xac(P%369sjn!D
zDFK`<b9GD#b#rk{3UOH21D*l@EFQ&q_?qF$iY;{wW71EZL7FOG>8NQYnCO`pw$pK~
zw9>6^xcB1sEM6gd>ftgB34@8sqzb5Isw#W#D*p<L9*5tnDKSyGP|6Er{QwK^xyvX0
zfYZyJAjC78aB--Q8U(r)$^n}0@+YJQkrA{~Awqz(WZ_`#F6^n#9hDSSFg-kdDg#qo
zR#jCVLZtcAAm5iE#(u%Ow4|UczoM+TrmC<!C>c?r-R1=kns&>FLGE&8uwY_j0lDs4
zRd&m{D$0kL@-{y@bTKpvmgwk;*1RM{MT1pW%=YpN&rmJ`CM9W50}#h&grL(>ZVMg$
z<?I1bE)}BDW@fRY*ooMlGwFr--t#Ve-U$$>3Hng~z@ZLBZ0YCZ*YnXXWCv4c7gdP!
z<Y4Tu+AWR%ANa9R$?N((Ldi|~0i_r!g5xn7zAXZ~*liX}o=P$}HvaycSuBKUP_G1w
z#QQHf16~L|b{~f(+C0xJx^C~^+(@||tz?g=%50Oi^6`@6KM#{vjUEsMcsWJKC@7XR
zLaA2RP5uf69_3E|Oaq?)=w=qgt_zx^9N~Wk)4|jQlob`J85oSq95u`Wc1n6wRFvJ2
z-1N(5Kq=ux@jrf&Pz^lHix;QRrNgs5{rn#R7#j4URk!%END}O!-TIQ8|DJRh21U{h
zXnLC!*b;eLTkiq~v8Uq3Ms3&}_^?i%?oyopj6sR)DUwchq-Wvgz6O;RS}GXj44$31
za)5?k>#*ET`na%P`<XFb)Q--y;H=u-yu>=|@3d%>lMJ`XK6;>1g8G$e$1-rve3>YM
zfj64a15|r@7f@(vl1`R^g!;^Sc_Y;RTq^)ZB$o<sg+=JaRQ=8_X#z!~!q&7xizd*X
z{=e6a1gZ+1#5eAOh6M6|tupu`2^yevi1kWx{dFDw`-dBN65vCT|6SVumP+gmU^z%#
z?^yhgsjgE1Qv=BQFn=fh-+Tv1!GID91mb16|F*{S_vfCEp<9dui2t?lU?7x8uugB*
z3p4*s|KDMHcz`upxlm~T4f@xfH>hBl$bDSdQ2);`T2$b8*;f^U`ZwsmJxC7Bjtq%+
z_<Jq=_m6#Gjj8WTDTx1Jc7zx(JMnmG?0;Belntz@QiMbh`e(L0n$>DI|FDgXO-7Y4
ztQ~q;P0itC;0!`)X&`05CPLoff21}~D1ZxtqMWh$d=)GNBX?#=`j<lb!QjWvasD%*
z6alad1pV$met*+!zy2(W&^#9KFqJIu?U5h>=AR9duLFB}dL}0)EohZcJ7B<v$lT5I
zR-|(aE&rPeZh51%o<LBCve6V_uiFaT7Sp&zPUuTX#an_q7a_ENg9)+0++P04%+2)&
zg+~^9N~pRpKt>s$XfptiZ-&Y9!v%9RmHgjB>QOO+R&xOMcGe%}q#@pdZTwCdK3**h
zOsl>jvHrIk@<;;#Spk`{9WVqq=?e(35I|Ey*spE4Y!-FY&~9TWR))H|vh@FL9eBsA
z9#HND1qH>Z*E(4!i5wTbDAC_1LzfEJ$9=xOzCQ;O+W6!e{^y%=ofhyJw59aDlZYdb
z#@}r{mJ>?HXEA}X2uXR%C<kW-b}bpYu*ttC?4g5?0SyRCbNzbfymdT$VQCPsP17+`
z+W^@io{(3gS6}(87cK8X!&q9G|KFmoK|#`Ynm~8Q#f^iq0#Ol>RuYw;iI5g=2?Ba@
z+5iDO$vjT=OyQQGv?MqLBqE<@JRiPCtjW0V1xVQe9Yi-kUIl-XlS;zE!eyD|Ns}-r
znV9RHD3DMJ!RwYt83ZZTJP@Spg1hRVmcy&69K4v%`v`?85WvRS0=_(e{mjY9Nkvs!
zQX<j$N7a^)$5qHqBjij32A&&{QqU#Km;4bR2`4*Ng}zu2;7?jyL99l^DCqwK6Mf(9

literal 0
HcmV?d00001


From 8b06f7c2b4145cf960ed8dd16eba4c9b6475a911 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Mon, 4 Dec 2023 16:34:28 -0800
Subject: [PATCH 04/34] Update 2023-12-07-semantic-options-benchmarks.md

added figures and headlines

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 .../2023-12-07-semantic-options-benchmarks.md | 58 ++++++++-----------
 1 file changed, 25 insertions(+), 33 deletions(-)

diff --git a/_posts/2023-12-07-semantic-options-benchmarks.md b/_posts/2023-12-07-semantic-options-benchmarks.md
index 6eb36b7b1d..2a6201ad60 100644
--- a/_posts/2023-12-07-semantic-options-benchmarks.md
+++ b/_posts/2023-12-07-semantic-options-benchmarks.md
@@ -12,49 +12,49 @@ meta_description: In this post, we’ll introduce several different ways of conf
 has_math: false
 has_science_table: false
 ---
-Unlike traditional lexical search algorithms such as BM25, which only take keywords into account, semantic search improves search relevance by understanding the context and semantic meaning of search terms and context. In general, semantic search has two key elements: 1. Embedding generation: A machine learning (ML) model, usually a deep neural network model (for example, TAS-B) is used to generate embeddings for both search terms and content; 2. k-NN: Searches return results based on embedding proximity using a vector search algorithm like k-nearest neighbors (k-NN).
+Unlike traditional lexical search algorithms such as BM25, which only take keywords into account, semantic search improves search relevance by understanding the context and semantic meaning of search terms and context. In general, semantic search has two key elements: 1. **Embedding generation**: A machine learning (ML) model, usually a deep neural network model (for example, TAS-B) is used to generate embeddings for both search terms and content; 2. **k-NN**: Searches return results based on embedding proximity using a vector search algorithm like k-nearest neighbors (k-NN).
 
 OpenSearch introduced the k-NN plugin to support vector search in 2019. However, users were left to manage embedding generation outside of OpenSearch. This changed with OpenSearch 2.9, when the new Neural Search plugin was released (available as an experimental feature in 2.4). The Neural Search plugin enables the integration of ML models into your search workloads. During ingestion and search, the plugin uses the ML model to transform text into vectors. Then it performs vector-based search using k-NN and returns semantically similar text-based search results.
 
 The addition of the vector transformation to the search process does come with a cost. It involves making inferences using deep neural network (DNN) language models, such as TAS-B. And the inferences of these DNN models are usually RAM and CPU heavy. If not set up correctly, it can result in resource consumption pressure and impact the health of your cluster. In the rest of this post, we’ll introduce several different ways of configuring OpenSearch clusters for semantic search, explain in detail how each approach works, and present a set of benchmarks to help you choose one to fit your own use case.
 
-Terms
+## Terms
 
 Before we discuss the options, here are the definitions of some terms we’ll use throughout this post:
 
-* Data node: Where OpenSearch data is stored. A data node manages a cluster’s search and indexing tasks and is the primary coordinator of an OpenSearch cluster.
-* ML node: OpenSearch introduced ML nodes in 2.3. An ML node is dedicated to ML-related tasks, such as inference for language models. You can follow these instructions to set up a dedicated ML node.
-* ML connector: Introduced with ML extensibility in 2.4 (experimental, GA in 2.7), an ML connector allows you to connect your preferred inference service (for example, Amazon SageMaker) to OpenSearch. Once created, an ML connector can be used to build an ML model, which is registered just like a local model.
-* Local/remote inference: With the newly introduced ML connector feature, OpenSearch now allows ML models to be hosted either locally on data nodes or ML nodes or remotely on public inference services.
+* **Data node**: Where OpenSearch data is stored. A data node manages a cluster’s search and indexing tasks and is the primary coordinator of an OpenSearch cluster.
+* **ML node**: OpenSearch introduced ML nodes in 2.3. An ML node is dedicated to ML-related tasks, such as inference for language models. You can follow these instructions to set up a dedicated ML node.
+* **ML connector**: Introduced with ML extensibility in 2.4 (experimental, GA in 2.7), an ML connector allows you to connect your preferred inference service (for example, Amazon SageMaker) to OpenSearch. Once created, an ML connector can be used to build an ML model, which is registered just like a local model.
+* **Local/remote inference**: With the newly introduced ML connector feature, OpenSearch now allows ML models to be hosted either locally on data nodes or ML nodes or remotely on public inference services.
 
-Architecture options
+## Architecture options
 
 OpenSearch provides multiple options for enabling semantic search: 1. Local inference on data nodes, 2. Local inference on ML nodes, 3. Remote inference on data nodes, and 4. Remote inference on ML nodes.
 
-Option 1: Local inference on data nodes 
+**Option 1: Local inference on data nodes** 
 
 With this option, both the Neural Search and ML Commons plugins reside on data nodes, just as any other plugin. Language models are loaded onto local data nodes, and inference is also executed locally. 
 
 Ingestion flow: As illustrated in Figure 1, the Neural Search plugin receives ingestion requests through the ingestion pipeline. It sends the text blob to ML Commons to generate embeddings. ML Commons runs the inference locally and returns the generated embeddings. Neural Search then ingests the generated embeddings into a k-NN index.
 
 Query flow: For query requests, the Neural Search plugin also sends the query to ML Commons, which will inference locally and return an embedding. Upon receiving the embedding, Neural Search will create a vector search request and send it to the k-NN plugin, which will execute the query and return a list of document IDs. These document IDs will then be returned to the user.
-Figure 1: Local inference on data nodes
+![Figure 1: Local inference on data nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-1.png)
 
-Option 2: Local inference on ML nodes 
+**Option 2: Local inference on ML nodes** 
 
 With this option, dedicated ML nodes are set up to perform all ML-related tasks, including inference for language models. Everything else is identical to option 1. In both the ingestion and query flows, the inference request to generate embeddings will now be sent to the ML Commons plugin, which resides on a dedicated ML node instead of on a data node, as shown in Figure 2.
-Figure 2: Local inference on ML nodes
+![Figure 2: Local inference on ML nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-2.png)
 
-Option 3: Remote inference on data nodes 
+**Option 3: Remote inference on data nodes** 
 
 This option was introduced in OpenSearch 2.9 with the ML extensibility feature. With this option, you use the ML connector to integrate with a remote server (outside of OpenSearch) for model inference (for example, SageMaker). Again, everything else is identical to option 1, except the inference requests are now forwarded by ML Commons to the remote SageMaker endpoint through an ML connector, as shown in Figure 3.
-Figure 3: Remote inference on data nodes
+![Figure 3: Remote inference on data nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-3.png)
 
 
-Option 4: Remote inference on ML nodes
+**Option 4: Remote inference on ML nodes**
 
 This option is a combination of options 2 and 3, so it still uses remote inference but also uses a dedicated ML node to host ML Commons, as shown in Figure 4.
-Figure 4: Remote inference on ML nodes
+![Figure 4: Remote inference on ML nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-4.png)
 
 
 Each of the four options presents some pros and cons:
@@ -64,11 +64,11 @@ Each of the four options presents some pros and cons:
 * Option 3 leverages an existing inference service, such as SageMaker. The remote connection will introduce extra network latency, but it also provides the benefit of offloading resource-intensive tasks to a dedicated inference server, which improves the reliability of the cluster and offers more model serving flexibility. 
 * Option 4 adds dedicated ML nodes on top of remote inference. Similarly to option 2, the dedicated ML node manages all ML requests, which further separates the ML workload from the rest of the cluster. But this comes with the cost of the ML node. Also, because the heavy lifting of the ML workload happens outside of the cluster, the ML node utilization could be low with this option.
 
-Benchmarking
+## Benchmarking
 
 To better understand the ingestion/query performance difference between these options, we designed a series of benchmarking tests. The following are our results and observations.
 
-Experiment setup
+### Experiment setup
 
 1. Dataset: We used MS MARCO as the primary dataset for benchmarking. MS MARCO is a collection of datasets focused on deep learning in search. MS MARCO has 12M documents, with an average length of 1,500 words, and is  approximately 100 GB in size. Also note that we have truncation set up in models to only use the first 128 tokens of each document in our experiments. 
 2. Model: We chose sentence-transformers/all-MiniLM-L6-v2 from a list of pretrained models supported by OpenSearch. 
@@ -88,9 +88,9 @@ Experiment setup
     5. Remote inference overhead
 5. Benchmarking tool: We used Opensearch Benchmark to generate traffic and collect results.
 
-Expriment 1: Ingestion
+### Expriment 1: Ingestion
 
-Ingestion setup
+**Ingestion setup**
 
 Number of clients	8
 Bulk size	200
@@ -102,7 +102,7 @@ SageMaker model padding	128
 Dataset	MS MARCO
 Dataset link	https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/msmarco.zip
 
-Experiment 1: Results
+**Experiment 1: Results**
 
 Case	Mean throughput (doc/s)	Inference p90 (ms/doc)	SageMaker inference p90 (ms/req)	SageMaker overhead p90 (ms/req)	e2e latency p90 (ms/bulk of 200 docs)
 Option 1: Local inference on data nodes (3 data nodes)	213.13	72.46	N/A	N/A	8944.53
@@ -110,13 +110,13 @@ Option 2: Local inference on ML nodes (2 data nodes + 1 ML node)	72.76	67.79	N/A
 Option 3: Remote inference on data nodes (2 data nodes + 1 remote ML node)	94.41	101.9	97	3.5	17455.9
 Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + 1 remote ML node)	79.79	60.37	54.8	3.5	21714.6
 
-Experiment 1: Observations
+**Experiment 1: Observations**
 
 * Option 1 provides much higher throughput than the other options. This is probably because ML models were deployed to all three data nodes, while the other options have only one dedicated ML node performing inference work. Note that we didn’t perform other tasks during the experiment, so all the nodes are dedicated to ingestion. This might not be the case in a real-world scenario. When the cluster multitasks, the ML inference workload may impact other tasks and cluster health.
 * Comparing options 2 and 3, we can see that even though option 2 has lower inference latency, its throughput is much lower than with option 3, which has a remote ML node. This could be because the SageMaker node is built and optimized solely for inference, while the local ML node still runs the OpenSearch stack and is not optimized for an inference workload.
 * Remote inference added some trivial overhead (3.5 ms, SageMaker overhead). We ran our tests on a public network; testing run on a virtual private cloud (VPC)-based network might yield slightly different results, but they are unlikely to be significant.
 
-Experiment 2: Query 
+### Experiment 2: Query 
 
 Number of clients	50
 Document count	50k/500k
@@ -127,7 +127,7 @@ SageMaker model padding	128
 Dataset	MS MARCO
 Dataset link	https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/msmarco.zip
 
-Experiment 2: Results
+**Experiment 2: Results**
 
 Case	Mean throughput (doc/s)	Inference p90 (ms) (per doc)	SageMaker inference p90	SageMaker overhead p90	e2e latency p90 (ms)
 Option 1: Local inference on data nodes (3 data nodes)	128.49	37.6	N/A	N/A	82.6
@@ -135,14 +135,14 @@ Option 2: Local inference on ML nodes (2 data nodes + 1 ML node)	141.5	29.5	N/A
 Option 3: Remote inference on data nodes (2 data nodes + remote ML node)	162.19	26.4	21.5	4.9	72.5
 Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + remote ML node)	136.2	26.6	21.6	5	76.65
 
-Experiment 2: Observations
+**Experiment 2: Observations**
 
 * Inference latency is much lower than in the ingestion experiment (~30 ms vs. 60–100 ms). This is primarily because query terms are usually much shorter than documents.
 * Externally hosted models outperformed local models on inference tasks by about 10%, even considering the network overhead. 
 * Unlike with ingestion, inference latency is a considerable part of end-to-end query latency. So the configuration that has the lowest latency achieves higher throughput and lower end-to-end latency.
 * The remote model with a dedicated ML node ranked lowest in throughput, which could be because all remote requests have to pass through the single ML node instead of through multiple data nodes, as in the other configurations.
 
-Conclusion/Recommendations
+## Conclusion/Recommendations
 
 In this blog post, we provided multiple options for configuring your OpenSearch cluster for semantic search, including local/remote inference and dedicated ML nodes. You can choose between these options to optimize costs and benefits based on your desired outcome. Based on our benchmarking results and observations, we recommend the following:
 
@@ -150,12 +150,4 @@ In this blog post, we provided multiple options for configuring your OpenSearch
 * Local inference works out of the box on existing clusters without any additional resources. You can use this option to quickly set up a development environment or build PoCs. Because the heavy ML workload could potentially affect cluster query and search performance, we don’t recommend this option for production systems. If you do have to use local inference for your production systems, we strongly recommend to use dedicated ML nodes to separate ML workload from the rest of you cluster.
 * Dedicated ML nodes helps improve query latency for local models (by taking over all ML-related tasks from data nodes), but they don’t help much with remote inference because the heavy lifting is performed outside of the OpenSearch cluster. Also, because ML nodes don’t manage any tasks not related to ML, adding an ML node won’t improve query or ingestion throughput.
 
-References
-
-* Configuring an OpenSearch Cluster for Massive Scale Semantic Search
-* https://opensearch.org/blog/semantic-search-solutions/
-* https://opensearch.org/blog/semantic-science-benchmarks/
-* https://opensearch.org/blog/Building-k-Nearest-Neighbor-(k-NN)-Similarity-Search-Engine-with-Elasticsearch/
-* https://opensearch.org/blog/similar-document-search/
-
 

From 4138adcb68edc26bd9af308f033281a73fe8d593 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Mon, 4 Dec 2023 17:00:41 -0800
Subject: [PATCH 05/34] Update 2023-12-07-semantic-options-benchmarks.md

added tables, and minor url fixes

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 .../2023-12-07-semantic-options-benchmarks.md | 90 ++++++++++---------
 1 file changed, 46 insertions(+), 44 deletions(-)

diff --git a/_posts/2023-12-07-semantic-options-benchmarks.md b/_posts/2023-12-07-semantic-options-benchmarks.md
index 2a6201ad60..159df8e028 100644
--- a/_posts/2023-12-07-semantic-options-benchmarks.md
+++ b/_posts/2023-12-07-semantic-options-benchmarks.md
@@ -31,31 +31,33 @@ Before we discuss the options, here are the definitions of some terms we’ll us
 
 OpenSearch provides multiple options for enabling semantic search: 1. Local inference on data nodes, 2. Local inference on ML nodes, 3. Remote inference on data nodes, and 4. Remote inference on ML nodes.
 
-**Option 1: Local inference on data nodes** 
+### Option 1: Local inference on data nodes
 
 With this option, both the Neural Search and ML Commons plugins reside on data nodes, just as any other plugin. Language models are loaded onto local data nodes, and inference is also executed locally. 
 
 Ingestion flow: As illustrated in Figure 1, the Neural Search plugin receives ingestion requests through the ingestion pipeline. It sends the text blob to ML Commons to generate embeddings. ML Commons runs the inference locally and returns the generated embeddings. Neural Search then ingests the generated embeddings into a k-NN index.
 
 Query flow: For query requests, the Neural Search plugin also sends the query to ML Commons, which will inference locally and return an embedding. Upon receiving the embedding, Neural Search will create a vector search request and send it to the k-NN plugin, which will execute the query and return a list of document IDs. These document IDs will then be returned to the user.
+
 ![Figure 1: Local inference on data nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-1.png)
 
-**Option 2: Local inference on ML nodes** 
+### Option 2: Local inference on ML nodes
 
-With this option, dedicated ML nodes are set up to perform all ML-related tasks, including inference for language models. Everything else is identical to option 1. In both the ingestion and query flows, the inference request to generate embeddings will now be sent to the ML Commons plugin, which resides on a dedicated ML node instead of on a data node, as shown in Figure 2.
+With this option, dedicated ML nodes are set up to perform all ML-related tasks, including inference for language models. Everything else is identical to option 1. In both the ingestion and query flows, the inference request to generate embeddings will now be sent to the ML Commons plugin, which resides on a dedicated ML node instead of on a data node, as shown in following figure:
 ![Figure 2: Local inference on ML nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-2.png)
 
-**Option 3: Remote inference on data nodes** 
+### Option 3: Remote inference on data nodes
+
+This option was introduced in OpenSearch 2.9 with the ML extensibility feature. With this option, you use the ML connector to integrate with a remote server (outside of OpenSearch) for model inference (for example, SageMaker). Again, everything else is identical to option 1, except the inference requests are now forwarded by ML Commons to the remote SageMaker endpoint through an ML connector, as shown in following figure:
 
-This option was introduced in OpenSearch 2.9 with the ML extensibility feature. With this option, you use the ML connector to integrate with a remote server (outside of OpenSearch) for model inference (for example, SageMaker). Again, everything else is identical to option 1, except the inference requests are now forwarded by ML Commons to the remote SageMaker endpoint through an ML connector, as shown in Figure 3.
 ![Figure 3: Remote inference on data nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-3.png)
 
 
-**Option 4: Remote inference on ML nodes**
+### Option 4: Remote inference on ML nodes
 
-This option is a combination of options 2 and 3, so it still uses remote inference but also uses a dedicated ML node to host ML Commons, as shown in Figure 4.
-![Figure 4: Remote inference on ML nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-4.png)
+This option is a combination of options 2 and 3, so it still uses remote inference but also uses a dedicated ML node to host ML Commons, as shown in following figure:
 
+![Figure 4: Remote inference on ML nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-4.png)
 
 Each of the four options presents some pros and cons:
 
@@ -71,7 +73,7 @@ To better understand the ingestion/query performance difference between these op
 ### Experiment setup
 
 1. Dataset: We used MS MARCO as the primary dataset for benchmarking. MS MARCO is a collection of datasets focused on deep learning in search. MS MARCO has 12M documents, with an average length of 1,500 words, and is  approximately 100 GB in size. Also note that we have truncation set up in models to only use the first 128 tokens of each document in our experiments. 
-2. Model: We chose sentence-transformers/all-MiniLM-L6-v2 from a list of pretrained models supported by OpenSearch. 
+2. Model: We chose sentence-transformers/all-MiniLM-L6-v2 from a list of [pretrained models](https://opensearch.org/docs/latest/ml-commons-plugin/pretrained-models/#supported-pretrained-models) supported by OpenSearch. 
     1. All pretrained models support truncation/padding to control the input length; we set both at 128.
 3. Cluster configuration: 
     1. Node type: M5.xlarge (4 core, 16 GB RAM)
@@ -80,35 +82,31 @@ To better understand the ingestion/query performance difference between these op
         2. Option 2: Local inference on ML nodes: 3 data nodes
         3. Option 3: Remote inference on data nodes: 2 data nodes, 1 SageMaker node
         4. Option 4: Remote inference on ML nodes: 1 data node, 1 ML node, 1 SageMaker node
-4. Measurements
-    1. Query latency/throughput
-    2. Ingestion throughput
-    3. CPU/RAM utilization
-    4. Inference latency
-    5. Remote inference overhead
-5. Benchmarking tool: We used Opensearch Benchmark to generate traffic and collect results.
+4. Benchmarking tool: We used [Opensearch Benchmark](https://github.com/opensearch-project/opensearch-benchmark) to generate traffic and collect results.
 
 ### Expriment 1: Ingestion
 
 **Ingestion setup**
 
-Number of clients	8
-Bulk size	200
-Document count	1M
-Local model truncation	128
-SageMaker model truncation	128
-Local model padding	128
-SageMaker model padding	128
-Dataset	MS MARCO
-Dataset link	https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/msmarco.zip
+|Configuration |Value|
+|--- |--- |
+|Number of clients	|8|
+|Bulk size	|200|
+|Document count	|1M|
+|Local model truncation	|128|
+|SageMaker model truncation	|128|
+|Local model padding	|128|
+|SageMaker model padding	|128|
+|Dataset	|	[MSCARCO](https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/msmarco.zip)|
 
 **Experiment 1: Results**
 
-Case	Mean throughput (doc/s)	Inference p90 (ms/doc)	SageMaker inference p90 (ms/req)	SageMaker overhead p90 (ms/req)	e2e latency p90 (ms/bulk of 200 docs)
-Option 1: Local inference on data nodes (3 data nodes)	213.13	72.46	N/A	N/A	8944.53
-Option 2: Local inference on ML nodes (2 data nodes + 1 ML node)	72.76	67.79	N/A	N/A	25936.7
-Option 3: Remote inference on data nodes (2 data nodes + 1 remote ML node)	94.41	101.9	97	3.5	17455.9
-Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + 1 remote ML node)	79.79	60.37	54.8	3.5	21714.6
+|Case	|Mean throughput (doc/s)	|Inference p90 (ms/doc)	|SageMaker inference p90 (ms/req)	|SageMaker overhead p90 (ms/req)	|e2e latency p90 (ms/bulk)|
+|---|---|---|---|---|---|
+|Option 1: Local inference on data nodes (3 data nodes)	|213.13|72.46	|N/A	|N/A	|8944.53|
+|Option 2: Local inference on ML nodes (2 data nodes + 1 ML node)	|72.76	|67.79	|N/A	|N/A	|25936.7|
+|Option 3: Remote inference on data nodes (2 data nodes + 1 remote ML node)	|94.41	|101.9	|97	|3.5	|17455.9|
+|Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + 1 remote ML node)	|79.79	|60.37	|54.8	|3.5	|21714.6|
 
 **Experiment 1: Observations**
 
@@ -118,22 +116,26 @@ Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + 1 remote
 
 ### Experiment 2: Query 
 
-Number of clients	50
-Document count	50k/500k
-Local model truncation	128
-SageMaker model truncation	128
-Local model padding	128
-SageMaker model padding	128
-Dataset	MS MARCO
-Dataset link	https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/msmarco.zip
+**Query setup**
+
+|Configuration |Value|
+|--- |--- |
+|Number of clients	|50|
+|Document count	|500k|
+|Local model truncation	|128|
+|SageMaker model truncation	|128|
+|Local model padding	|128|
+|SageMaker model padding	|128|
+|Dataset	|	[MSCARCO](https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/msmarco.zip)|
 
 **Experiment 2: Results**
 
-Case	Mean throughput (doc/s)	Inference p90 (ms) (per doc)	SageMaker inference p90	SageMaker overhead p90	e2e latency p90 (ms)
-Option 1: Local inference on data nodes (3 data nodes)	128.49	37.6	N/A	N/A	82.6
-Option 2: Local inference on ML nodes (2 data nodes + 1 ML node)	141.5	29.5	N/A	N/A	72.9
-Option 3: Remote inference on data nodes (2 data nodes + remote ML node)	162.19	26.4	21.5	4.9	72.5
-Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + remote ML node)	136.2	26.6	21.6	5	76.65
+|Case	|Mean throughput (query/s)	|Inference p90 (ms/query)	|SageMaker inference p90 (ms/req)	|SageMaker overhead p90	(ms/req)|e2e latency p90 (ms/query)|
+|---|---|---|---|---|---|
+|Option 1: Local inference on data nodes (3 data nodes)	|128.49	|37.6	|N/A	|N/A	|82.6|
+|Option 2: Local inference on ML nodes (2 data nodes + 1 ML node)	|141.5	|29.5	|N/A	|N/A	|72.9|
+|Option 3: Remote inference on data nodes (2 data nodes + remote ML node)	|162.19	|26.4	|21.5	|4.9	|72.5|
+|Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + remote ML node)	|136.2	|26.6	|21.6	|5	|76.65|
 
 **Experiment 2: Observations**
 
@@ -146,7 +148,7 @@ Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + remote M
 
 In this blog post, we provided multiple options for configuring your OpenSearch cluster for semantic search, including local/remote inference and dedicated ML nodes. You can choose between these options to optimize costs and benefits based on your desired outcome. Based on our benchmarking results and observations, we recommend the following:
 
-* Remotely connected models separate ML workloads from the OpenSearch cluster, with only a small amount of extra latency. This option also provides flexibility in terms of the amount of computation power used for making inferences (for example, leveraging SageMaker GPU instances). This is our recommended option for production-oriented systems. 
+* Remotely connected models separate ML workloads from the OpenSearch cluster, with only a small amount of extra latency. This option also provides flexibility in terms of the amount of computation power used for making inferences (for example, leveraging SageMaker GPU instances). This is our **recommended** option for any production-oriented systems. 
 * Local inference works out of the box on existing clusters without any additional resources. You can use this option to quickly set up a development environment or build PoCs. Because the heavy ML workload could potentially affect cluster query and search performance, we don’t recommend this option for production systems. If you do have to use local inference for your production systems, we strongly recommend to use dedicated ML nodes to separate ML workload from the rest of you cluster.
 * Dedicated ML nodes helps improve query latency for local models (by taking over all ML-related tasks from data nodes), but they don’t help much with remote inference because the heavy lifting is performed outside of the OpenSearch cluster. Also, because ML nodes don’t manage any tasks not related to ML, adding an ML node won’t improve query or ingestion throughput.
 

From 806e926494a27cfd5a9801f7120c441d40bd0b70 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Mon, 4 Dec 2023 17:04:57 -0800
Subject: [PATCH 06/34] Update 2023-12-07-semantic-options-benchmarks.md

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 _posts/2023-12-07-semantic-options-benchmarks.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/_posts/2023-12-07-semantic-options-benchmarks.md b/_posts/2023-12-07-semantic-options-benchmarks.md
index 159df8e028..8f00ef6ad4 100644
--- a/_posts/2023-12-07-semantic-options-benchmarks.md
+++ b/_posts/2023-12-07-semantic-options-benchmarks.md
@@ -4,6 +4,7 @@ title:  "Semantic Search with OpenSearch: Architecture options and Benchmarks"
 authors:
  - sean-zheng-amazon
  - zane-neo
+ - ylwu-amzn
 date: 2023-12-07
 categories:
  - technical-post
@@ -24,7 +25,7 @@ Before we discuss the options, here are the definitions of some terms we’ll us
 
 * **Data node**: Where OpenSearch data is stored. A data node manages a cluster’s search and indexing tasks and is the primary coordinator of an OpenSearch cluster.
 * **ML node**: OpenSearch introduced ML nodes in 2.3. An ML node is dedicated to ML-related tasks, such as inference for language models. You can follow these instructions to set up a dedicated ML node.
-* **ML connector**: Introduced with ML extensibility in 2.4 (experimental, GA in 2.7), an ML connector allows you to connect your preferred inference service (for example, Amazon SageMaker) to OpenSearch. Once created, an ML connector can be used to build an ML model, which is registered just like a local model.
+* **ML connector**: Introduced with ML extensibility in 2.4 (experimental, GA'ed in 2.9), an ML connector allows you to connect your preferred inference service (for example, Amazon SageMaker) to OpenSearch. Once created, an ML connector can be used to build an ML model, which is registered just like a local model.
 * **Local/remote inference**: With the newly introduced ML connector feature, OpenSearch now allows ML models to be hosted either locally on data nodes or ML nodes or remotely on public inference services.
 
 ## Architecture options

From ed51dd677435f8531e361248ccc009c0fb373073 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Mon, 4 Dec 2023 17:09:48 -0800
Subject: [PATCH 07/34] Update 2023-12-07-semantic-options-benchmarks.md

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 _posts/2023-12-07-semantic-options-benchmarks.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/_posts/2023-12-07-semantic-options-benchmarks.md b/_posts/2023-12-07-semantic-options-benchmarks.md
index 8f00ef6ad4..9e42fd3ce3 100644
--- a/_posts/2023-12-07-semantic-options-benchmarks.md
+++ b/_posts/2023-12-07-semantic-options-benchmarks.md
@@ -26,7 +26,7 @@ Before we discuss the options, here are the definitions of some terms we’ll us
 * **Data node**: Where OpenSearch data is stored. A data node manages a cluster’s search and indexing tasks and is the primary coordinator of an OpenSearch cluster.
 * **ML node**: OpenSearch introduced ML nodes in 2.3. An ML node is dedicated to ML-related tasks, such as inference for language models. You can follow these instructions to set up a dedicated ML node.
 * **ML connector**: Introduced with ML extensibility in 2.4 (experimental, GA'ed in 2.9), an ML connector allows you to connect your preferred inference service (for example, Amazon SageMaker) to OpenSearch. Once created, an ML connector can be used to build an ML model, which is registered just like a local model.
-* **Local/remote inference**: With the newly introduced ML connector feature, OpenSearch now allows ML models to be hosted either locally on data nodes or ML nodes or remotely on public inference services.
+* **Local/remote inference**: With the newly introduced ML connector, OpenSearch allows ML inference to be hosted either locally on data or ML nodes; or remotely on public inference services.
 
 ## Architecture options
 
@@ -49,14 +49,14 @@ With this option, dedicated ML nodes are set up to perform all ML-related tasks,
 
 ### Option 3: Remote inference on data nodes
 
-This option was introduced in OpenSearch 2.9 with the ML extensibility feature. With this option, you use the ML connector to integrate with a remote server (outside of OpenSearch) for model inference (for example, SageMaker). Again, everything else is identical to option 1, except the inference requests are now forwarded by ML Commons to the remote SageMaker endpoint through an ML connector, as shown in following figure:
+This option was introduced in OpenSearch 2.9 with the ML extensibility feature. With this option, you use the ML connector to integrate with a remote server (outside of OpenSearch) for model inference (for example, SageMaker). Again, everything else is identical to option 1, except the inference requests are now forwarded by ML Commons from data nodes to the remote SageMaker endpoint through an ML connector, as shown in following figure:
 
 ![Figure 3: Remote inference on data nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-3.png)
 
 
 ### Option 4: Remote inference on ML nodes
 
-This option is a combination of options 2 and 3, so it still uses remote inference but also uses a dedicated ML node to host ML Commons, as shown in following figure:
+This option is a combination of options 2 and 3. It still uses remote inference from SageMaker but also uses a dedicated ML node to host ML Commons, as shown in following figure:
 
 ![Figure 4: Remote inference on ML nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-4.png)
 

From 6f646803f1bf5e7e6a6311b1be6363b6410fc132 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Mon, 4 Dec 2023 17:15:33 -0800
Subject: [PATCH 08/34] Delete
 assets/media/blog-images/2023-12-07-semantic-options-benchmarks/test.png

remove test file

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 .../blog-images/2023-12-07-semantic-options-benchmarks/test.png  | 1 -
 1 file changed, 1 deletion(-)
 delete mode 100644 assets/media/blog-images/2023-12-07-semantic-options-benchmarks/test.png

diff --git a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/test.png b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/test.png
deleted file mode 100644
index 8b13789179..0000000000
--- a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/test.png
+++ /dev/null
@@ -1 +0,0 @@
-

From 8d0f365db81f89bc246e61712f9ad0a2b03f4051 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Mon, 4 Dec 2023 17:17:03 -0800
Subject: [PATCH 09/34] Update 2023-12-07-semantic-options-benchmarks.md

fixing typo

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 _posts/2023-12-07-semantic-options-benchmarks.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_posts/2023-12-07-semantic-options-benchmarks.md b/_posts/2023-12-07-semantic-options-benchmarks.md
index 9e42fd3ce3..37a9443b84 100644
--- a/_posts/2023-12-07-semantic-options-benchmarks.md
+++ b/_posts/2023-12-07-semantic-options-benchmarks.md
@@ -85,7 +85,7 @@ To better understand the ingestion/query performance difference between these op
         4. Option 4: Remote inference on ML nodes: 1 data node, 1 ML node, 1 SageMaker node
 4. Benchmarking tool: We used [Opensearch Benchmark](https://github.com/opensearch-project/opensearch-benchmark) to generate traffic and collect results.
 
-### Expriment 1: Ingestion
+### Experiment 1: Ingestion
 
 **Ingestion setup**
 

From b9eb48482f22a9c9b25cd4820a4b2ad2c8157b76 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Mon, 4 Dec 2023 17:34:55 -0800
Subject: [PATCH 10/34] Update 2023-12-07-semantic-options-benchmarks.md

fixing style check errors

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 _posts/2023-12-07-semantic-options-benchmarks.md | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/_posts/2023-12-07-semantic-options-benchmarks.md b/_posts/2023-12-07-semantic-options-benchmarks.md
index 37a9443b84..a414f7fb62 100644
--- a/_posts/2023-12-07-semantic-options-benchmarks.md
+++ b/_posts/2023-12-07-semantic-options-benchmarks.md
@@ -25,14 +25,14 @@ Before we discuss the options, here are the definitions of some terms we’ll us
 
 * **Data node**: Where OpenSearch data is stored. A data node manages a cluster’s search and indexing tasks and is the primary coordinator of an OpenSearch cluster.
 * **ML node**: OpenSearch introduced ML nodes in 2.3. An ML node is dedicated to ML-related tasks, such as inference for language models. You can follow these instructions to set up a dedicated ML node.
-* **ML connector**: Introduced with ML extensibility in 2.4 (experimental, GA'ed in 2.9), an ML connector allows you to connect your preferred inference service (for example, Amazon SageMaker) to OpenSearch. Once created, an ML connector can be used to build an ML model, which is registered just like a local model.
+* **ML connector**: Introduced with ML extensibility in 2.9, an ML connector allows you to connect your preferred inference service (for example, Amazon SageMaker) to OpenSearch. Once created, an ML connector can be used to build an ML model, which is registered just like a local model.
 * **Local/remote inference**: With the newly introduced ML connector, OpenSearch allows ML inference to be hosted either locally on data or ML nodes; or remotely on public inference services.
 
 ## Architecture options
 
 OpenSearch provides multiple options for enabling semantic search: 1. Local inference on data nodes, 2. Local inference on ML nodes, 3. Remote inference on data nodes, and 4. Remote inference on ML nodes.
 
-### Option 1: Local inference on data nodes
+**Option 1: Local inference on data nodes**
 
 With this option, both the Neural Search and ML Commons plugins reside on data nodes, just as any other plugin. Language models are loaded onto local data nodes, and inference is also executed locally. 
 
@@ -42,19 +42,19 @@ Query flow: For query requests, the Neural Search plugin also sends the query to
 
 ![Figure 1: Local inference on data nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-1.png)
 
-### Option 2: Local inference on ML nodes
+**Option 2: Local inference on ML nodes**
 
 With this option, dedicated ML nodes are set up to perform all ML-related tasks, including inference for language models. Everything else is identical to option 1. In both the ingestion and query flows, the inference request to generate embeddings will now be sent to the ML Commons plugin, which resides on a dedicated ML node instead of on a data node, as shown in following figure:
 ![Figure 2: Local inference on ML nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-2.png)
 
-### Option 3: Remote inference on data nodes
+**Option 3: Remote inference on data nodes**
 
 This option was introduced in OpenSearch 2.9 with the ML extensibility feature. With this option, you use the ML connector to integrate with a remote server (outside of OpenSearch) for model inference (for example, SageMaker). Again, everything else is identical to option 1, except the inference requests are now forwarded by ML Commons from data nodes to the remote SageMaker endpoint through an ML connector, as shown in following figure:
 
 ![Figure 3: Remote inference on data nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-3.png)
 
 
-### Option 4: Remote inference on ML nodes
+**Option 4: Remote inference on ML nodes**
 
 This option is a combination of options 2 and 3. It still uses remote inference from SageMaker but also uses a dedicated ML node to host ML Commons, as shown in following figure:
 
@@ -73,7 +73,7 @@ To better understand the ingestion/query performance difference between these op
 
 ### Experiment setup
 
-1. Dataset: We used MS MARCO as the primary dataset for benchmarking. MS MARCO is a collection of datasets focused on deep learning in search. MS MARCO has 12M documents, with an average length of 1,500 words, and is  approximately 100 GB in size. Also note that we have truncation set up in models to only use the first 128 tokens of each document in our experiments. 
+1. Dataset: We used MS MARCO as the primary dataset for benchmarking. MS MARCO is a collection of datasets focused on deep learning in search. MS MARCO has 12M documents, with an average length of 1,500 words, and is approximately 100 GB in size. Also note that we have truncation set up in models to only use the first 128 tokens of each document in our experiments. 
 2. Model: We chose sentence-transformers/all-MiniLM-L6-v2 from a list of [pretrained models](https://opensearch.org/docs/latest/ml-commons-plugin/pretrained-models/#supported-pretrained-models) supported by OpenSearch. 
     1. All pretrained models support truncation/padding to control the input length; we set both at 128.
 3. Cluster configuration: 
@@ -83,7 +83,7 @@ To better understand the ingestion/query performance difference between these op
         2. Option 2: Local inference on ML nodes: 3 data nodes
         3. Option 3: Remote inference on data nodes: 2 data nodes, 1 SageMaker node
         4. Option 4: Remote inference on ML nodes: 1 data node, 1 ML node, 1 SageMaker node
-4. Benchmarking tool: We used [Opensearch Benchmark](https://github.com/opensearch-project/opensearch-benchmark) to generate traffic and collect results.
+4. Benchmarking tool: We used [OpenSearch Benchmark](https://github.com/opensearch-project/opensearch-benchmark) to generate traffic and collect results.
 
 ### Experiment 1: Ingestion
 
@@ -140,7 +140,7 @@ To better understand the ingestion/query performance difference between these op
 
 **Experiment 2: Observations**
 
-* Inference latency is much lower than in the ingestion experiment (~30 ms vs. 60–100 ms). This is primarily because query terms are usually much shorter than documents.
+* Inference latency is much lower than in the ingestion experiment (~30 ms compared to 60–100 ms). This is primarily because query terms are usually much shorter than documents.
 * Externally hosted models outperformed local models on inference tasks by about 10%, even considering the network overhead. 
 * Unlike with ingestion, inference latency is a considerable part of end-to-end query latency. So the configuration that has the lowest latency achieves higher throughput and lower end-to-end latency.
 * The remote model with a dedicated ML node ranked lowest in throughput, which could be because all remote requests have to pass through the single ML node instead of through multiple data nodes, as in the other configurations.

From 53f596524f6e489540c60a10c937c14ea07255c1 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Tue, 5 Dec 2023 12:10:45 -0800
Subject: [PATCH 11/34] Add files via upload

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 .../semantic-options-2.png                    | Bin 33099 -> 35151 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-2.png b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-2.png
index a8149c10499990bb3f453270a509f789d872837c..deef862603bfb940557504cf47f4540382f4847e 100644
GIT binary patch
literal 35151
zcmcfpbwE|y_67`7N(e}Iw{*j%B{mJx-Q6i6NGRRiC5?0mD4o&*qDXgl35f7c&bcSP
z-*@l(=c`-xa;-V%nmNWZ#&`zdFO;OwP>4`qU|`T>Wh7N$VBn=-U|_?L;J_VN)cJQ0
zUv8?>;xJWXBs<_5!$MouQc)3x5j;SGfrrI{fqy6h{=&d=!aUT%0slBdZD0`oxDNvZ
z1>Z27?3`Qz9Gn8|JQNQ<`2@K5VPKxb!T(+3OB}-A*XwZ@e_SJiidS)%e_g}E#9{q?
zjg%1g$29^6J3mZ9{J*Xf{<+SB{ik<%aDVj(UMdg%uWQ(_|JA$y)?*fSegSrN7?}V2
zy}e#+3<HDEW}~j{uC1sbVCLk&YGUqWYQgH|;Qa6c7$GkKaOq&-ZbISZVDIQA;3Z7;
zM+pIN{cxL&isFwV?smdd+KMkIB%E9=D0o@fS=p&XP$(!Ugj~%n1ym)W|EUiCCroAS
z?(QtW#^&ki$?D0)>f~z0#sPsq*w{JQI5}BB2^KeRM|Tr17DqSgKO6b09Z3r}GgljD
zcN-^1iidVhOr2i33sX@&yy)*g|LLcL^WQIWbo<Y!!1&m_Oq|&`SlQYBTO|uGn}53Z
z|5NMX$^We8Z0+Rk<Yw*kKi>HF<Nw)!x!K=+b$;n;|HqV=o3UBgTR2!ay1RjT9RIby
z?lzYHqrVSN{(RjZtMKRK2!W*(P;@f4vGkTSakmh8*eWa>oGk1->VIu+A-4Zh=AWtk
zqqc;r1*rM|Ui)8V{#E;71_hKYE!`~K)omOsME=~1LTvx{{{OBbX=7#MZu82*{D0N`
zr@;ShMD3-in}ylKd;ci|4&Z;@{@<Sd?-rC@K|dT#>_z@t1AjmKzxDqa`QJtU#|-@a
z{QoxbPdESTtN*>we{VT~ho$;+LCpW#djHjj|6bu=Juo*DaC>QLYhmX8ulIm$^~d=Z
zH?d;-*KHxT|5{q;VN(i#;ekDE@^FSlIE2{#|L*<gokDC62mD_L{*U(mybHvM2nyJ#
ze~Bg$6gb0o3@|WaFtU=*)xBW%vk`Bnr|t)Ate?u-goQ}X%4br^y%P_wOVrT(_B42;
zA}Uu=k~V1s>m8LW4R>QhgSG9}{m99$ThRrdj-S6;*6I&mFG$BaZRLz#XPt?RpS2u~
z|7sl<I6msQ7ZD@J#DM+l6Zi$|Gq&y^Z8K6>z+azE5xBaobCQ2<h&3aB&UxbbOZL@Y
z)nGB>giEZ%5G4QlbSsKo>Nn3RPe%UTOu#-w7@mp(?mr(4N6>2bf?tB+Kef!qcL@L0
z7ia7^Vf@3(#Pfe@QTQm0|I;E;P-eh>3&QMCwZ91Rd|u&0xwv--mxl|VoL9P&nY2C{
zh(0rHLT0)jp}=tTsq#EpY<qPf=OfQ-@bSE|X))rn$LBaosR$hJ-xuFMz1-vVI$jPd
zzhQjnqmFohS_hb)y98Q!&2r63@nDp`NPPdpmM#7FpKz+>jguWVF_D^tr4cbl6D~E=
zdF;NiG|gkh9|#_`o_(f{HGYnD1bv6uw^RNwj|hpK*`ABnS8K6LK1Xd#niVtcuYYlk
z3r&?Mlbg=RX-0fUdq2cQjT|(WQ=bvENXb}iHJ)QJoO1BxUC(TzUCa3}TStS#+y~3i
z40qab$W|73hIxI^wDiGtI>Ma)@>{i$@<^`#-H&P`QB#@gyI)6ahOJk#cGU(A))P8b
z*%lkh=!x{oem6TM(y?R?Qe){{TfNxIg-)~0E^F28HxXB$Gj97cwFuBCf{6wjHEz-s
z@Jip2G>&fuC=W|7=7pTcj)+DixpkRgSM|)O-8T^K(HI!4;9)a7nu0Vw?VyI*r;?mk
zyIqLnG`GKwI=CtVV;sI$Ej$&y6+`t`sX=xBTBa5%U)_2d(PFXv<z1-@_GUFsb+9-r
z=I3OwkQuj;mFBG+pBRB%hK9i?LauE#)iW~TSL*N8kvC2keU3Q%KEB-hHeIg8XERyo
zxbV^U_gbu|fajq?U8><Lo5fad^4I5>JIbQJ-5+DJww+IMS`5v5%sJqRsE^kUkj=IE
z`~>9}B@bt6;TP0PUr;&<Z6vA9HaT^GNtHl{n9n!6&|EFQecFD#nF$s?$9!D$Ug(XE
z&a*%E><Vqb2T8Awb(f5JsC-U~3ep*lXJBiL6m1Nr-e1l+5qNKFRCMw!dKEl>`}kt-
z`%;ZbPYR2kb8FkxY9v80=(aR+rk<hSwMD;kWmb_F3l2({SQWzQMg|o#vhD|aSwu{m
z+Was4rC34^U{{E4=e<o^2_zh#owvkg(li(E4@4xBv8she6S<Sfh7jeahQogU_|gt;
zfYeieB427kP;-IfbIr7jvj0~}zq{)#91fq$ebc^(M(c?;LZZL+>l2klygLJ6X|B$v
zlv`f!el7DpUGL)VJ+rbX`r||er3Mgw6Fd4*-pT&RXoqW#T9F_)iVQkR=Di+|nr2-4
zj&UMF|Mzjv)7r)3>50AK`e<EC0)*<E<nVvi@M^2nYWlr~qJw-AL#@Lc?>>t=Y(GhS
zibcOIa}>KhGY(=uVd}R^J<q+$rd7*wjdHvUi_MYr;3xRJ*S+_{8OTB&DXQfLpLlP!
zgRqs-MEymEB7MO2v~{0KdZs4ua#zyj#BECBLF^zsf}JYi;Zk4@j8?AFZ*kQ`4a^qw
zJWXw3x~<f2;k3nA80HU2fBN>6yQ=xs#jZw~>IPVTOJ{f^(vM$rWF@sD_~63YBLbu-
z-1b{qz0Y(TsRC%5jJw_l`&?r1?!JXFD~l%L$;Tc<%oXj&+kM-4b+V>{t&rJsJzl}@
zBLWGIg=`W)@f7Y*8ES&w=(vZHdJqh4uY{6|>=Y(C&nn(-y`5q$QNUq)5GE^B#+I?{
z<Go?RuIn=M_TwVIn5VQ*@R(%^Cn6A{Xr&P|*{La^CzA^YvyJ5~-*1NPH$CsKXXwXu
zv<_gO8498WOLZ!NjzWAYk+@XeUXv&c&osMGtL=?w^qWu6ExrCpDl7$+`Q*MM?tcO{
zqtzs<u)O6(LX;G$Bxjr1&%*^w@7a#J`M~Otdy4dQu25m=5u1{1UfZt>DB^o7mjzSd
zQ)7Mw-46m3!w_yn%Ea<XL4I}H<!rHHrpLkTbgh{*&O&D(d>M{f3cX@R?>1vkg{4ax
zAsHdBy>`3rH39EC>F7w-{F_o!ta?Z0*{_i@&-#dAC5@yyset4~?-_m{E-WUL<7+uw
zD+HIDm3|yA>hDK)VCet*LLtHIMY24NSYJ&u?%UWM7lotd^#pn6yEDqBZCR&F6E#<}
z1Kjd+`DDhv2;FbHiMXB|&x1NfGkDh6_GrFXD14=^h<%W;=8s`D>p4}f-aKLL{25{w
z9j~_8Ga*sz7U?j+&a_rymF4nyL3da0qq~i-*Y96Ht!z29jy@fUsFxe0CWP#;q9z;f
zuJ}bl&6Sz^h)1P4sEm<F(#rJ8YO^9Hlz1_^uE$4sUqzo&M-TQLGjS03TDrqvoO7n%
zccBV-pz`X!P*CWuFCN%9Z)VpV4iZXA?a}dsY!rC?u~+e7_j!w-6sS*R+2aQw9)=J*
zc3zt5ebFe_<QN@u4CR=Kn2IT~K_vHe9<k-j@6K9_Wc|pnIUOeRY!Qh9=p&5J+CJ!S
zqYNp`@<ucHtfX*%i`vPy68)(<DJT#K(k)g|=2DH1%gjjPpz#DIG#EauoKZaCap{KC
z<s>y*+DpzG$yy&hNfaep{?u<&%ULiVGg?^pi5bntAlyYbf!1(@d%2NS?@j;K;*u29
z$mSLPtkin)$yonj1Z$wV^V1oi|0wQmNuci2bmi+J{#MRn+^|2~CKPa}|5ErAa3)j~
zKCB9rv^r9M!30T)44}ZR=^`-yX`LNl3H;)32^9~U@y`#&1DfE*?)w)6Nkak<M9ofC
z^B)KjMhBYD2>*BY6%fqFgUcFe{?NgH)|Pw#6{C_I|7xA?0f~IoP0;vfK=}aSL|Wz(
z{L?xTHW-hIEz95^=-|)V6QFr1E|sXikWv6rP&gP5dt-_@?mq*vhP%!$z`-Vg18V<j
zyCAk$A)V9iTSbw4sv}T20FrcJvPC7V4<?qF4<;ltYP>i2<PnL-BH+IL;+=RfyQU;3
z08uoO#z0V(PL-*ZjO7UXYz!sOH90A7d(iSCpx`p90|{srEBryH-tu6ssamh8>N7%6
zXQ2Q6Z%;AFcmfZ&wf<<I%O6&v_qS(LKtlrIy3D86;%b44IfCiK8H`OE@cecw*Pm6V
zZatLT@9K1zZ6Jnp4jg`_s^--sH6>YYrXu_Yp&N)v4Hf!*KJ|czvH|#buUV;kzFH$M
zPU-t4X#Rr(aZE_A-wjaEvPW${4X;l(sz2_&2Y3uoaf~@h`ci+HD7$^lp=sfR^+dkk
z?;8X62`SEHeFw^sPpL+J-T;k(GtqX`{%hO)qiz-_c;#^d%)*De-@lILTh2c2Rqf5U
z)Tc^W$?BN(M|q!5NI$`2=Jz@_zTUlcaEJKZZjkHTJYj1UTdD;B3AM)1b&!^GlM1%z
zmtYWE+qvpZMpT<P+1(E7^Xu>cq$`Q#WGzFRFL|(*BsnyMZmf;4#`MZLzWsz&U#pG$
z0YqU<&bQCTi1Qyqrj4DPcNri>y(c7HSBYorhZ^@s5#k$qt)yG!c#jMJoXN+<0rNu+
zn+3i9edHhdlzb5&t7BPm@$eELLIG^NJed0l02$i5t8|LG{g%82s{VO=Bi}$_t@r9>
zd7qPByH*%=kom+QM{@4eRi9|AjZlhJUjf`>f#=$2JIz_58CX5|=FyY1FyF0g&q)sS
z)*3>Fy!{q2ZpI#8Wsz%|%d9BK(j0u^Apmx*n;CYjpY}PIg5zPpUJb`G9wX_gXpSV}
zu}#`;lgp)ot>JT+O`<DRD^ZHj*}0Si`&~Xs`(~;h=1scZlHV^D0fyf#Oar~h?8id{
zXo<TGLR2nZA0-fc>6|BJ={d?GrBX$P<170_FTSdwax12>Q|iH9X*yMg9;3Bsu$SwQ
zzuKlGbi>0~f^X=1`&2~c(-mtt0#MsBVK91$H5nTH`r=<EGp}~bt1Xoi<Ef>K`SdnY
zn7|Qhp>pMe<r137SO-$lxhai(z1`>M;c}SwS~TAz>)Jr<(-@fqNd!p>Eja$rs*bxG
z{X`21IC36F#m*4_A25&?FO!6~+}vtx*nf>&Q%M3f@$`0S3miK#e&^*XgHNsrK~v8b
zU+q<9Rq38Q!DpqB|7AV{)?s4hhI14B4j^<*&2~iX(u)zU@hjGlhdw*Y1lZ`6YgJpy
zCia}~DAGmSp6pK+J@G+Dl*`qtvv3x>%*u@(#vVt;uqWD&#5iBnh6}mL6!bjw-pUR=
zz_NM-^J`_nb(jTx!}nrZ>&NjR4f+u*4S45CZ#cFMb!ej|Cy+D#$iBBH16eRDsi>2s
z9;e(0qb9K`GY&vD&C`*v`J-d6zx(MjwTwk82cXd7EfS`YP&DEY(hpuIrZkqkOeL#H
zEP5Y+)j+^4SyzOy7HgILQuBOzo2U+(vzW48dq4GZ{|A@#m%N^*qFMGQ{ajsd%7Hj=
zoBQB^X$){-CZ7}Ujt-Hj+|hJ7e!1d7x)))w!3<3z?`hqOWLjWXaR*j++!0O3pC6Ph
zF+|&P6jEBF@0G)mVZ;e<!LE};rg2)J=w)ws{g`_KeY#rSgTA-$$+O9ELFD#WqSX@^
z0ql4Lp$x{?wUQJ!whd|b*W><oH+$9eIbPj<;bx86mw}0~E_xy)Rec($#kbdIW?Qd;
z#G>P%<+Yg%ax;@T8zA?;`c&?-_pQ=~+J^-P4;(jU*m^B7vEE_V=%HdXZfUVuD!pD~
zeg*OlB;!Wkp9`LT$%bvOUT&h#$#1<Q7k<UfTI;#!9eM?9wHnnj@3YMyh-ZsjG9!Yi
zVI$}D#do8@AYy=}4B$pS`Tz+1<52{{ZQJk5IYqh4xpM8=RnRNhdXEELDqt4+baPpa
z`R>;aH22oNmo(MK8hkdp$$E4@DbNuAbK|`vCPp9)l5+$@%sq{x!Y~V1(kQ(qM;86&
z8eynO6Y^)#(5~e<M7I*xjiGkj4*xDNEb7(fwHPMVLZqpPNPM;!iLo?`%b=5L-DfVX
z*&eetm%)|<R%pb$+{mRDryIlRW}%OP9m^fxX!o5rRa>QtwqHO;OQiscMip(m`F_AZ
zR_Ih__Vb#!Mi#K%un@d-9xR_k)^MMNX4+vMTcBG;3W@k;7{}9q8tdy_Rax(kCYDcO
z-cd1W!Q}$bFkv~!te*frkNK<dt0Q186S)}OmS6V9ir(@2iHOi8C@!#nRUjBA8R#~i
z#$=D&t(1r9N|auT84p1tCOGWfthd^;crd7nqg$C(EP%iT2+ii}i1h%*wD`l3=_}2T
zjifBS9!h4~8qFMdj)dA;2Tw1rf3`U~yo)#{wcLOgqG|MMhxQvs92TU>{>PgG+%sE+
zu&gYv?*^Vadd;=rFncW8>HvXV-U<Ohq}O1rQlZV^VQ*5G-N+>~oWfF~oI55)f7e1O
z5mIxwAT5cbNZePEP4xgkDBc8c+ah4RzDNp~ga0@riVmwQFs9MO_Ty>201yM|&6aZJ
z&zTGbm{~+DV-p?>Q<)GWm*l=y+i=^_TrQ5QnKV?Z&2bL2F(P%^ke5#jYriS5%g3(H
zRENpfC8c2L(3@Bs%6BgDo)!%;sv~sE1XST?i;>f&LK}O2wn6s0&1JQ>nqJuoOXFBJ
zC`+1Sw4a`H#YX=y14`4Z^Ca&rx+y2Z7-Unz_+?+~uB5&G>*k-IqYdOsKeYtw(BT9=
zvgyMZr$R;*5%O&x4?(skhQL;FQ^g4*e33_GLzsF;re<aN0gC48X1*KyFx@OndR@vl
zV?&z6khMZ}s%0)%LJSeU&bz*H$mP~bAKz&1*_*ndf7~yyKLNyYi>-782ko!BY~a@a
z*QM6a@-dPrfn6d4C+M-ie7@M?w&nU_Zn8)o^4b-McYh!?H%Bue>Ym@L4E8^a=lptv
zg2SL%C=-rFiw;?jtFsu^EPWAJF9942r9l6YxQ%cGR-_000cfj{ugX<kiUfT>a9~rm
zdOBl+z?J3g(BSv`l~P|ex6LH*SomM9gaXUcIMF1F)TI}bz&6dU2*?b>R<D)r;Ipl9
zr}rJNe|f~LF4UO7|GWd9m*G^lt@#g+p5Tq-2oqxiH$aGDCa(i9i@{G{(Oi}^<@mzW
zfB<xwW0<-#s=5-$n*tS!afrXjR4(V4eegNgso+4A4K;~V0W|s*5MmuSyXC-mzXqVq
z`dft#xa-_e)SXuE2{!i~5L*7%<0TTI=m3Xo0#8q{RGQp}k6H*=v~j|ZCG*XFWphtP
zF~y=8ea2Fye=mu1^=lqu=MP(0i4ngBGLEhNYE{pvZ5nt-fO7QM{rXIqOp9)eQ|=dV
z;{Yd&<@xpm0ETyc_(oAvV;h$$msH1Wfl+)E-P4nV^CW@OrFC1kx6$SSmCN)Z%0uWc
ziQ9fI`bdPJ>HtsM2EcR^Quw$mx?iy^5!qo*fVyu#?tTJXCLM<#_XIrlw-s9$X)}?{
zYhW?^Ek{3ZA~i#kg}1iYXup1Vle;X$ELiB!+uQu<@S`2@aWu`l%Eyuk3n6?kQt1hO
z+5uo<TCOLUA-j!UKkIYa1q9B?02w}-qtoG<O|b%W68<>vp6B06t583A{rp@?14J?d
z+*6UO<&y#OCE!Z}X!+WDgc839pyF}nv{HjlmukwwxU^+d4;B!`HbN9s_@oybzDi{y
z_v}m-rR-=x**qtew2IfX@%9nE{xO&s5#U(?j>gL@&6r1ZOekjU0IIzLXwOxl@Cj8M
zTp+3&Qjr)HMw2DfEl9p#NEAOz+DJT1Y!_ihwea<?%TTgc+rY5^Z!x06!wmV>Syw_T
zZ=_aT=K9BpYeKgFQTHfX7g!9Pw(9Qf2B3khOKMEEd*^Gv)oB{H>fqAoG5)nEfWw7P
zKT|(<j0WI0j#Sm~)lLz`lV?A=Whl5v#7$_()izPBV*v8cj)s8Y5XKFrvgJ;co{snV
z;^01mqoiiH{z9QJ9#Bq}hE6Kr4t!~-h@nx{y}*k3Ob7RK-tDRI__Ce42iBE;bOdH)
ztP#T1%R=pQVyD(FJR_2UBt=nf>6gLC=F5pxD_`drq+qk=+fDmWq9B^}0<!x)88%bJ
z91J7r*zNLEuzw0(rCr?UAuM1KNn;G}FiAhk=!(w5LV)B@J9ihU5aKL;aL@~hYI6NT
zV}-qOPVty`QRq-M(i31nzmq<E&v_T=PaX%r@JVtPA@rtx`jbA_SDZZZEe4t2)k;)_
znHN*v$L~NW7`>d<SgCwN6HAAoDr~Ru04bM~5`oh)5njDeg@u{Un46LKY3;~VIJ8f{
zrz2PcKVF%kopZjcD}+)v!HL`UMZccS1+ceV8NA%h23pLqs=+1!qB)|S!w+?BbpI8R
z=;(wr`6$idl}(n>Z?NGX;Lg_0T1jDU5C@<4skx=1?1g0g8!$KUwAv>)F6ha!{aErb
zS+UK*YuGava}llQlk&hZ?eO{~83pzj<Yih;QmgnXJ+$O_J&pUSp{iw*Xzcqda8%cp
zaF5Haa$ob(%OdE1#t08J-2o_+tKi2G_f3mIqb)91;CvPOoF@Id&?yGoj$(C9<pNsv
z%`XHs3D9UqeEEX>Rp8vk%%(^*6}h`I^Ls)0exiej2T4RZCw7?i6RHOQG*NN%W3)`P
z1Ent27t<y%_cT5Xy~-n&TqGtqqS0sNz;`<YoX=*;xj{4E4p8Y_@k%Z<0<)0BkTrp~
zvCObdz(3dbRJMjq@54w=PP`mddYG})ShgTO_LrMoq0YpS=NITxQw3pOH2F@wdhBNX
zsMzDSbWvY{faK^T%I1{h&?dNrk)UyolgbwM;Z;6T<XhkdF0)eC#SDX4AW0i-rs!}r
z%*I)i2>e43i+V8wmJDi5`&Mbf{L6sFXEqQMoeR~X41iiJ^Jw90j~~Z0x!!Vr64}rl
zSf<f#ai#6}Eq1l_MH-SViF1z?v-Do0{Ipvl_IQPKBr`LmvxU=YjKp-iHrwa0r8jQ!
z(B>2H1=qrP^Hk|Ip^L)$H3Mam@Ko_iS?T_+YiB6)4jicifR~R9PTwJp2qtTqQ^e*&
zUf)JARplv<ppBr|&Ne)|cCJY{`NE!@kcGJeJofz;GVip1|6KC#XbUUs!5Lt;n{2Wg
zkACqcSz`$}l<S%*FOp%PWYIHCPDVa7Jt+J=x((LPr>2ZbuG8G)0tS}9swvab-WdoD
znYWt{V%hh~v$hn14dgDfy{Z?<cal_-&i`A8lalXnV~|E!^^^jQOeoFQiy49*nT5})
z&u=k=Lq<kMKn4-O3hQNQEtKs~lt}aalF+>8W#tx!&tZP|MdE3E04bX{(I7pJft4Sf
zmZ3MT>0Y7$EE#bQ0$BiXy}L*r0SCX+MtJcJP<T%T_t}~H$!eGwR)5$&DL4i`Vkcl!
zAK52jNrhsqaT#~Qn9>2KVL^=QMpsOk0k9)p5jDB2^<Q@3y`t!i!yV^M|58sYalQp~
z$MBf~>Npq2%iXUlWfX||uRj|jEPHQ4yC+am$RBmkoq7YvO@L<pIov3EBZRL>@SZ7p
zHxBphgh%x5aTNybT68D&a3+-`=Na)*iOO3u<H^Q|%W=XJQ$tfj9BB#Drgy{3N^<*L
z&}zS52Yh#R4yYUe&o*<+YAX-;l9t!am=n|+y}rO@j2bcW|NYXwOHBz9tW}U40z*bR
z*?Kl6xE?zZB3ca`>j(tL?^TOXJ`~rkJD(<|5ujJloHk4;t<kt*x#3?@DTy3*`&ure
znnXdY<v2{|<lV`XHVn6l%%O7Hg!frxN?T*u2X`&f<gb(PN9?NGEPsxJK+PE?8O$P|
zwmR_9oKI^RDQ0p?gnct_#w&<Z4ChyS!j&Bw-M_(<jqu4ohG3E7mS@cQGz)mit)|cV
z#j#vFMF)(!uiot_9fzHo_S{q(b%>191iOa&bo@FLG-b%J3YQM+P0Pell*4jH_9T5o
zcvR35c}3xWWv~saqy=v>L{RxA6qTiSBrq)N0ajVhVxpj6qYQ_eNqs53#gkD+Gy`!1
zp#yEpQnrGiQ3l938FoK)L;1=0yTl#%Gwi*kjt<(8^u>UDXiq`zAPR9(IEIY8j{8dn
z^x7Sw6E}8IWqD%(`PVn+l;uc|hQ|Ya=@imBd&Zw)bUB-0*SoAi%k{Tl{We!#(m|>%
zbyWq-H`sM_CFPvxWX9I;S?{wZO0VMtqsVa(b_0I?pbRB>bMfH9Mzw9-a3=&IhpzZ|
z=Kkj$#t{o(aSOZH-n`GBzMfEB>JEN#hVM^YPiy<N)Me3o>m(VUk<IMu3vLX<hHQbC
zRP7+LwoScQUAQhJC*rOdw&l#%K)|McQ+<x_Z8c@lYfeM>TWWI3iUrtas_FR!kuRc*
z5WEalWY&24#|aXL+p*c$xX1`HqQC^lkP+KlMU)K~r7R!A9OK859?{&O+E-atKWaLT
ziVuKgn<vv>%?^^4{t)zoJFEkE0eMX}(F>kO6%gGcj&uEVEdwzKAuT#IlLEV|q0rEX
zj(KaWt--`lWQB>Tk~>-A3Q_*(H?%L(idM?R>T5Ak(G74&@j4P`L7Z%`Di3MO2?CIS
z3%i?OEJKc&0P@I4Ccg_+2d2K!jIVxvqFIP!ej}6CuZum;UQFpPCDA!dQNOjS^db9P
zm*=ZE{8(#=1<k;^H0w`yP;oKv2PU|F#FZqIwx5XCuWiMZhGO{;B59dJ&W?<*xeE;d
zGXr8cv2n55CQ{F#1&>WzdBSh%AHVsu9ewh>6>gMSz@E-@<X0>ohne{%W3@mce?Idq
zHv=cOY$)66`-|yG%vM2_Z2q%~^bX+tW*^+9P7vKVeJ(rUzk!Egc5h<0`h;gyhma8i
z0WPaL>K-=~k4#gkVAa5sZ<C6~oDz;zz;ET8kbSJ?)|us)YULo<48DUX1jodcUG2O%
zdqUYTkjCe1l+RlYYHr<rYHG#_6JsKP+qB?8{Df3nFeH9pFPb>q-1@B+KADkg<c}W|
z<c5|)E9WEx?$j9dd16v;hR-YDXf<SlpSw&rt(Wy+tp>U`Pm1b3clp-5Bb3+c*mj`_
z73KIq@Ws52I(r59V80!6v|)C0G%|_8vc97)FsYM8i!ar;{B~dP>?iwFz!u4d&Ee|%
zBCX1~==ZUjH8jgseMJ7ge(vQ2K8=nlVhE}<0Uq7Y5>4q07w@W}iq!?2$@4X#6(^dD
zbqttHe7|U!5*(?HROWG8lVPQWhz6p>I06T~*0yU_@1>U}lDRp)9i+KjZH*GZMnrKu
zai<y+VuFRWYn_f-#OkrbZ5wQOD&)a0ML;3OTLFvCNo7nov6gOz_XHjmmE=XkVCV|W
z<BM&9xidb~IkT)#wU+PR&(h;LSt_ib(^YZE^)<J4z4;YA&>!TzWIUc;gKN`%8g+8X
zxsv98;(JVxDUX_E!j{1vk7KgXEtcS&RYAbiY4G3=9Yl;wL>!NJY6&BXa^%Bp$=>%Q
zTOD<@pv=qO>-g$8Zkfdrh0a7RHEpeO0wrP$#%--Rn;y?#s1#0<lvRN9xx^{8=_X7E
z+(&M@Iiv$y_p+9tDv4j|?Ec<SEek?zQ7Z|Mr(6PO0LNS9!@V|W;DCn;9rIr{V@}Jx
z`Y50txPuVY1ZC1b?VWS*qd0GL{#r}+=2J!PJB^QtFj9Mg?r;&@=sFOE&6*c%iG+jR
zWCU(!b@PS8b=<Z@o8u-+%fXzEjCWXcbjX7>p<e_yp?;<O_mv9!sTDF@$|O?8S^2$O
z@Nbv6IBttRK~W#$waGftOF+ddeUS4?!laYg)5Fi{6eWM@T$1Sa&quaPz`l!0dp^!$
zt~AEham%U2L3J&+<D0hC;I^e?FEW|e%8oc;p<V84p<6o`(UD{qjEz?4>XdIm8&CFo
z7&Vi|G0OkRkO1=QY&^}GL;hngcpYUMUlrl@p?O8apo$OSPJ*wPHAYsQxihAiO${~7
z^NDcXLh0vkzND|03~22k5=`YpYQ8v^-FD7zZ+>t}7g5%fUPU}M6G}p+zipgz!<^;O
z@)^5z^%mhk7{s%%e$|K58-Z9L^lX^mO_pg8fn-AeNN(hdn)$w6v`OP*N`iip#CH?@
z{9}n;L2sOV5u^+L5ZzeO8<#9l*PKD5`^dQsx@=J*TpJFt#3p)%%xRb?*4oktT#fUp
zuobrW-s4YHoHo}ai=Ta|7way2n;E`vx+_=8Bq6;Ty0Lv^%{6@8l}C{1pWT5p5vv`V
zW^IkpfV?P~$ikQ~smS-Wmt7~~1g`uALj7<EXB{gok+Ulsya!D|wY^0Qu6*v?O@?Ve
zMuMouhpnDlaXHGIr;ktIp9&dwWSFLf3#NSyw|qkrzGzycykW?M-2@Mn@tgK4SYT!9
zyN$<SAv83|HN99{I&6bRzjzTA`azOh*Y%Wm3*Vu=&UYY!FEFdYPO@&hy7Vw?j7tQ9
z!`TiUt{s>|h_>zE)9s>SX_sI^6UfpExS00tT!DWUjiMS_K|<%Y2+b*Kpph=fXtc}0
z&6a%b5uI`C6XOsKTnovG6CtMETGAOb>rd`j2>jhycX&)c08JN`qvpyfSc{vci0jsu
zlIWvTBg-kt^Nm;B)TVYq%ykmFWU&v?#F}B_upbrY71%?CIf0=FI7yzJq9IKY#>dX~
zCeSVltj?hPo@Vm~V=xfo>WGl^1GgncAxaqP42n*<N+n&*oSUZkEBJkEoJti^k+{jy
zhF}Rz^u(ejm#KtIS_o0{;3(|((rsV)0y@acj1x)TrS6|&L7I!S6XaQE`m|`z3aUed
zA9KaDbhf6aK?XSWwD_>C<jBv$AYX?^p2^~nl5sw!{!Ft9-DjCEWsWmP<oOoklDuK>
zF0H^R6l2*!*e+})UaKD<kGeHop_BNC{9Jb%MS9()y>2LtdwoRQ3`(!#V62%anJV)N
zt6nC$SBTNQF}yZa<|ubCUY}MXq($*gQ^dY0We=HrGbQRel8IZ%KpQn^C+a{cbM-bX
zaq^eEd!RP5k`Lv(6ffyBX=TptZOMX+*U)^o&rt-1N|quGKGV-r<qG5q1iU+=pcX+a
zX+*eXR6Mq>m-fKLq$88O*S4=EI|Kp`4sc{;`g>!$D2x7SQOv?U%sub9n)q8%7irE^
zM)nDdDcuTA#wYGOD?k5AhD<c?eU4a(jTN~G`@sk{0MkrGQ2JJ{h9*pn6>K$$Wn0Yz
zL-`_7%`H9sJxS9GjG{9<KEi(H_zBz7t`}yaqCp&L9{aR)@JM4)K^%S}_Bc`UoK~a^
zZnW_!vhZ~GSN<)uesB1-)LQtIKFI2Kzc8~x{9w>~7t<^(E<^XB{`15j8#fhsYI{DS
zc7CL~=AGu#nTWwtm|x<8Hf%DJ6GN_=5RIi330$=TfmSUd+^YwHn4)HPLqN^~sSgo<
zr;_MB&SLN}saBo7c|}}qQcyN4*oMlm2ZCvQFQj@}tM}4(^jRCOQ^QjuLel~H(CdfI
zSmp95-BX;{M7@@kpWY{?+|rU#k9Mu8$ErU|YUKIH3629uN})-9x)fv5n|C3USoM-O
zcol+BA<d%YDa%zZlYL0Jq@2kXzFIc$Z#@>o@)@I{PQZ0gAJC7!|BhUq<tnqWn02Zk
zK$eK#*v%R;;%&8=n5^6oH{+|I2AD}}1f6vW-sE}i=El^?NW|Q_X0O=voaNRL`((<o
zy_fsx!oCIZ(l?na6Ky@!Xn<NEd>g#cv{5Ic56vQ_d$N2+sCN3o`s-`K47wYWXD~4$
z^qwbAD2p1K;u7`hSVr4<o}r7_Gxke_lu7DdGI9x82{a!q(J;S%4IC8&q`XU`##yhc
zdGv=aExWDjIYj|8WF*CMe|^A<X%k0;tEz7EyPVmhnp=zn8&%&l&Ckw^@QwCIBbFS6
z;S88gyrNi_%N8hHW4!V(<&q)zm89QCs6;$wK*%-YS&WH3d@rN0Qo!rVnjqJk-WIu>
znGDE+_3GNZ;{pL!bkDb@-C%>URp}Ay`9$Be_n((Bl?0graZB}@SaZ~in_QU*ZfzbZ
zVR4~Z6}hm9z2$TqJL|uz72<-74mm3aIB#T?LM@n<oi)D5+mPNB7pkaDloFVrLj)C4
zwz0d}9}TS2ywYOakpR1*c57Qv_vouWY&=%%u>ajzuD+V330%%gKY|v`tVJ584w(@D
zm~;DgHe-up7f>cxwI4HC*{K4C0)~%$H?XiLMxKxj5P!g7<xYuB*K>x^{;3Pw|8@o^
z;2V7{#BB7V`6G7jA9E=tnjv<Cbemc5%<PAzy(!$7w5yowKl1eb7+ZgVXshFf8C<X1
zmpEjuRy#wpP3_>Yq!vGmeg?}IBTpM+2%V^Yc;qg~9U!w)5ng;SZ6-bA^P__pSP=7~
zwx<>6SRg@ZjCm;uM%Sh6=`P861qFL)I=MAP7}`OUF5XPt8huj~V{J00M<)1@tb8p8
zO+8n-K=^F*voxv$1cI(OXd}EVYn0<UqErXp_c=3Lbr1T7p*~NsQ(pw!B#%WBJdIG;
z#QL7z9mUI7akMI^Vt<Z28^s1*E=;}f%xbT;YimO7dcs*9yZAsH?N(;3D7H_<3x>qW
z8Kj73?#;?G*6#rUG0JC^(Rhdy`+I&-H?!SL4P`&cmSGezANnU20W?dJf+GHCh9~!g
zDOCLkh^M{G@vufiro^uv8~)Hosi&io@L)BbAYTj7HY1>lVu#W=-%Y1Uk4@=4bFo{o
zYiKX#3!n@$NK0(A;v=kNmsm`p<0;P3am12lPq9Af%G)Z%n)eYxMtx&u1Hxxfm<MTk
z*8_trt601wQ{*}dJ>7W^F6xrV35{a!^d1;0ti5uiD<z6zXrH8vdJXgU((u)x!t<`_
zQlWuxzZ&>$U%}QV(&#&+bYmaPg;rZM(=9Lv1TK>?Hu30x>edU7uvl7T{iyEU@3;3e
ziyDZBi46QM#4!_@_QFyaf!?GBIz2yjc&xwLLmNUNI|xgB8$IJ66O2#8ejS&#qF%pY
z=pN2&O}inggU2<@c|7?;-khA-3@PC;T$l;o9Fe!oj&mbgcbZ<pRpwBeEDruX9{NiT
z`dN<f2#Iy}iJF6ET1v{=92Y6$!tNA5UZoee9szxY{R&nHB%YXiX4;jeoLg)rreRx*
zHZtLZV+J#;>tFJo!@E)|yT-6}yi68~cAJeD+=R(a3F3a=;YI~Nr;1MgK8<L4r41<5
z_6LPZdjj-CJtp16?b`ws(&(QjA8PywqSi=_p)dz06DHg2<Ea<P8ONAtp#*1gk=}z5
z=1GY*ss!AcQONu)e5)y8)%<P8aVsfiqY*E|YlSkHXEiLbjt#9~k_u#=Wk2&QjM`b?
zu%nY1ktup@&Gu0;2jj8TV4RA2F^w8)j*L73wsEG9uOB2FC!T-vySjFftCNC>YItF7
zT1I~y(<a+5Mm-%`78-}3<XEXOF~}xSbYyHwE^iV0Z%l0RY3P$xB=d6;X^L1Bhps5$
zj0)g@zOp9lQqH%r_6(IU(<B9HCD(v<2l-xF!M%mBg8Dc?f0{%@oj(?`O)Cx*3}3tP
z#7*>hdWi~YoogDi$Yh$<!tf8ARJpr5+pp&Pklm3C@5go{vN{~$nKFKmCEqhN?54HC
z!A*JDj*!5Vp|&6WLb#e`^O+uF(Zqa~Bcw)3l4FO+;kMLgVXLb584>*oZRaqX6ww*4
z3JOnOfZ^>XgfbyMKri|H!@~{xAQv8gPEX|mI-Bu{k`kjab+U?&S+j4;6^gqcT7cb>
zHEHhc%UHdlemKgzUsfZxVK~koDlQ|4ro~g-mRA$x(!$}z5}hIEQ}jpcjGUn-hJUpF
zCcp<mY%)J48qT=&Dl#52ct*)Sk%l`U^eUykk2(CTT^qT(6@$=?<C;PBfpEkO=N{`e
zUAnC|DN~^P1qV3(Yp`V|MXl<L*X{sArdIM0xSi~PA2G5so#3;(SMgpQ@*`p+o26%h
zd)v;8j>+nW(J3_bW~wI1Lv1-KXu)wFL?-*Na~qz|6n>_$6cni>_GAu8fQN&!#EYLu
z9;O=^{f`+Cyr+4ewZ{V8OxlO2Jr0GfaeL;YT>}@hGs&D`mWllHgV*OqQ%bqGAv^wL
zABi9ami*#w#$=x<s@6mWamvCrDwD5i9@hqF01JllC5M7XiHW?eo{$H(4Hn7#@DHRl
zk2_g)$alS{5u2K=iUjeWs<kvfnc`4t)ekSq+x?O=QOdzpMf*F9NhRtiqAAu6L=#Fm
z99PC()fPS#NKeipB~$2NLf(qu7?hytOgVq3Wzp1J$@NaZs)Z?V4uQXS>e@!j@d@_&
z?K^~W3VDVfU`B6g#bU!0y=R_H8F7fKeB`z@&Xm2>H_oKP@5<n|>Grs7p_$x(M-RZN
zkQ9GdfmMt+Xf*tQUpRGep~`{S8*G4;vp&cuV4<6}fw=E_exx#*$cr}`x8@%K`73S%
zfj{@|@Y7KWH2R*PW|TjvP-RW+bkCOca^ApmA((m=#0&WqWI0_g%g54H96`j2|4kz4
zU4INI6DiI@F?%4YZyrMVHUc2M9U-HV@PB!iu&#~1*~_oM40fwpKCNz(V|2f9J&Vm(
z>zowm#<}X)O{7vD!4k5ya8Ryd03Ot$gsSU!r3Z56KHFeJ!j&K=lJ3down>1KN1mR~
zk@||*yOS43d=?Vq(qC)f_q1C)iDA6~BM~}^EJ$<#7%sp(<KCQ{B;g2lVY5=pn!6sT
zP>+a*ZmJ(3f5Ld@Q#KR)la>U-)C-Q^W!mq{dp7R<U{_abz#`4{-Xv6d(m3EljxIyo
zSM9|R)SyNAuVr%%dnXUM;#avgQ0xFPAHZU?1}rK}#P1)qN_|GbB8G&_U4QDD|C}}K
zRZjefX*>@TDev;Zr8}di@%Hq&k2(#Ya*7ck3mtdDTdUuNsCW(T#|7NFp+9d)V5V?P
zev2+(4Z`}jFN+dnEp!2ubBw6#i++vqbHJNR7@`*DdsG;`sznC|UycDh(tizp8RLoW
zQ^GA0c+!zUlM#2ovR!Q6p0`8)>B<`mhEIQEEGX+_o&tDY<*3To+y`g-_2ar{@qo!c
zhFVg+3#bcW0htKS!zb+}2zNtLTXZ(LXQ1@>W27*>B9Lmp-veS%>-10bet>=eGIx4-
zp2VPSEC?IVRQV90KFpQdpK~Q_{OOh~D40Rza~CCEDOue{7MGB)+eFKE5^y3hTC)A~
zpMFR@hgx25Wz`HFa|cd}IJKVi17ZfHVWAA>T^;*sjNswt<HtzO7upQi#yd0_V7^!p
zn71BC;Ic!J_rM=NzCmW-5gkxYq;UuNK0ErnAJ(NDht1HpF9LT_;r-`ixr^QDR91tb
z-5NkABlDOs0lr>Dw_kKhSu=nLt$*~A`nlLFgWoh3ZXJj#kT{$J4?*8}O1Tg*NFh-A
z<j)-?ysWQN#21J`JH*A``({d_A2OhC&I~D*uGXm!(Q!YI0}T0*fT%f?rM69HHmkGG
zwDJC8-0yGQ!WpAc6=HcX;-)Y5VOjy-@geZ^s}7K09{7A9v<HIc<3kmw>xV|k){gEe
z{u|}yfPKJ*lqU*FO);p@s??S82J9O_u7tCVVd+-<J}X5+*a;AXuG<VBZprW3QOt4a
zCj<-<pWU*OZRz|FkHh&NfH44aH|)@z#wt@Mad``%9Y6Pf)PvY6h;<qt5dZiM{6@e9
zEPS(FfQU*UrnQK3{8wrPh+^lvjqA36!0^lC<t}{#K$-;POc6kVOp=@!1>CwFI%kkQ
z;<WIw(P^n&v;X(a#o9>KUe%|u2o;KGgxiMz`Q%KJ$tWZLB?*GdFkuWThVgiCvW?7o
zKhB!(TmhgZ?3Co@aF{(N=BMV@<mo@pd;S)LmATYnLDGQR40Pe+%cWO9N_TS9rE5II
z?3di96y3JQc#a+`!J^0((H1}OPn*R%jiNKglLekly}(3D61Iv@6t;Tj%+nc|Y^jz8
z@)^js7>Ms!bQ{8W`V>Bu0oo?$>9g0pVVEGjfP~W=N#d+|8~De&I!6I*?I&Pnfk@sU
zSdM}B!<l^5<*tlw4>S-Y5m<5_u#jE;Li(xfHJ2o6o(9#v-|$~F+G_OVNrq$D{{rb5
zG%1C~BbYj$JRIC?084_vL5P0FjlfM3gwbLEM<%=j5WESpc%EHoJ;>j>^nh3*jZ1xA
zQLp=N!fBUT>7pf@E}3FMM$spS*JoRqQWrC}#pfV6_TU2v=lA8cpJ4}KEPD}F4*wVp
zSHSGVD%YM*QM-P~HWE8VzA6QTibwY+&IaAavu;FAFWXkka65+{D{#kb8&5W*D@ij#
zF^U0uV!?B1CDH6_qkJl>5SLT?HQio(_?B(1$m<4UUOc6~2g(u;EE~`J{gw*9uL>I$
z;}&xgVvz$CoF{1$faY+-^IgBkZ|rKN=AdQ;r0EQZw}9jZw<IJc`ZT41k6Is+TYepW
zBDArP{SJcsKad10b0Pps6eDni4g(|l{qLaPz9U|0kGskNuSB}Win+x8dXVb9eTs73
zTPRQ)`Bh#-m~p%jMq3R}2G9AGc1l6K38E)epNag$K!>JFb6nHhHIT+*U!f}Rc#&38
zwt+Mh5A2WJGSOUF9ET3t0AceZa(a?mz%pRq;@&r(#PayW>bQOs4V}LE)*xiOGDZ_H
zi<p-oy0xa(_X??=rkfRhHa!*))G(270>PoI#ckoC6n;@>k;xADi17}MV`c4&)?a6O
zSRsRjS5Y(=3O-6_Tb!pRYDJQr!f*p*KKmeYwQhJf^aBD*^k&mJ$MBgNeH^b(%&5!*
z9qq1|HPQ7r4Wxp_2A1=Kv>%v{AVg%3l4d7ITZ6<6><To`ifWWAnShWyh%XMslSrjZ
zVbAN0)cTmW9Xd!H`x=%p>SAL~jfuUYCBL`!#c;;R;6|2B25Y!&^H~-_P8C=cwuw(k
zi)e75!z<9SAuf8jo!Tw-H6m_ncCc;kh6;znUmCA%<UX;VlBwCJ3BYpzh7?iq8H9bm
z4qF_nu}Z6&Y%8@DES&6oIRItGfB^#-)(=csqBC{P7A%>!!asq);NtGgd4$t%)ZM$T
zTZ4rVD#m^QsSHIL!={pL1+D%DsUS0OapK7J2TOpIv0Mc6j&%?4U;F@RS;8O~6(fhP
zdG~!eXCBqcd-3;|B;SY^q|HXsGq8)@WPO{(%<CJv8nzn9s4{a0D=G!Q&Eab4W4==X
zRM^UJcXaY_w{c<o=`PlA^eHBtS>y-un?1=CAn`P8RiLh6%S`9=xEGKQvX^V1nwU-M
zaG<P9Qc#4bi}i-(;RIc~DKH@@1sTKM3OFx!!pPwo6~e+l?p2Np)*5YqoYVJIXkJ7^
z`wHt#al(`X%(iDRG85%j>8CXKkQ6d`D}k5;Y|a|ube|L}f<|o4lJlzWG>Pw$OhmvS
zdT(_up^HJE=SEa~)Q$KpXRgJqq{De8Gl}<9>oI*1*GJ4C#KG`VIy7T)|67->oq8Ht
zfkYcOl2%L=Bb%>C6ek^=kuhAsE?<8G33Q^iYx@eBS-S>iANa{#ORdIg#n=mpc)Wea
zL>yRe((@wA!rdpdsZ3{LjZaqlFyj~f`*M0XmS4A=$fI`OLSoWOqF09rgUSIZ2j#mL
z$s`$IjyxB`Cn5Zj{;i?Kx~x#8AiX!dWjjBz3NRahjK7$3>WEHMNS%~{8J~YvlJ&;z
zu=@#{g4u_5^I#8@0;u9-PGk-*J{svGNl!KGo%}&<4nV)mfw&c4OjiS(0*T-HEl0fJ
z&clDw+NAvgkHp(G8NsG8H85NCyaDn{0~>%wODy^j?9ltO+<OwBcr)bjLsdVra#&RX
zzy#Q-TaDihGpmGNk02i4$VEq((S<*q5`4khvM59J*w9Ter4jkq#Z|8CXxiy(DQ27Y
zQePN`F~C^oXH-<ecXE4Qpk(+Nk}f2bZ&lg>FrhiTxWj{Xoo<ePa@~+SibS^zSD2Cn
zj?KwJ6>Nv+t;|5}IsB-jt=^J6QWR)|C_{GU7MkO&Mrg}mhN0o~+3r|vMtn4}V^eJ(
zwJlhT+DY_*_Ny~}Ljq15=T;Y2`rG&UI$3GsmU!7cy-J)Th1{(n5X|5f$=0aX75D}-
zfOrXLbiLAq`H^HCroAA@cid0xBx!U?_qbA}&U_H!wpkOOz(-rGIt0|-@kx;BRwdUM
ze*s_zTq&uRIngadLZ#r-(BxbzQ@L%c!t$~66pkk=bsKj<8k^Jfd)zbZE0y}kTmlxl
zrf~eLfe>+el<bsOkD46j`ZFWfTKQq$D879F72jwKt1K1G3|7A&6+soh?n>^koAJH-
zG;&iB<T#kq+d60Hdm`n(7nyszSKV=`6|y}Elx}7Hm;jT&Vm$%x@BEiSOsp4gytDwu
ze_6J*W{WOE!1}&wlETeKy$M<GdQI#jkUfB*s14YG09W;Ur|zkez|C~QAgsOqxv-V4
zJZ38iM|QQP;9{)~Jvfj;WFLWPDpGkWBO{_2u$JC~7Wc)VaBD^8yecRH$!Qg^64J)<
zJ5B+T@*PTgb~l7!a5GbDb`6ml@WGS#1iU_D^{c9E4`|q7w!uVn`fI)GGsK${R6mD>
zkJClB5~-CFr3#!%GOjjXgPgr{XNuxS)frdQ(UKzK(2p)ESgpTeD+_T*67d9@h-k0v
z#?Cmf#^5>`aNa?<6pW=9jgi<Bv)jk0V}(|!<6vUY#d?;0Z_S8?dziGO#2zGAPk^-9
zcRn?M3<C1QIL@di<_r|a=i48$3<0o^(QbA&(HcgP--H%$;`g=BWnr%rsbs%UCBl@6
z511&m`(A}s43%Q!-US2*bDOUS`w&!4sBZdhJOcGWE)F7*;a;ZW$H9T%&cMd4+gbmZ
z56ysyW0T5Xi8mro(4~ND>gWp6^MJmo4L};SRQmi@IMm)=0vn^u7au-)NVRZ#VKWPf
zE_yd8VKPiC0s$~W*#VCTiVIh&GI3@NxO5uQC6^@GGSDG4oo}6Ot#mp)7Ri+Xl${Ak
ztvU8-=MQA_?x2alhLJ?Y>SMnHQR&#w4|!77spsE5*UxX0)fiuc{8;nPGXsxkzot&c
zo1Cr>qB2t@TOqtLikm1EvXqTvjLzT|SYUud#>@luQuMBQuRx29+XTdJR+<}|Y4agX
zZ<?<^2zN~<KvoMR&6HX7L72BQo!U(XD}kd>uHTrpQcSOqNy7ik<bqIG9#!odo6~H=
zAeRY4B-XRk$tC~$*W*KI^3MkqGb5|Axox=<DSEB%vdSx$f84fg>mukEY_^lZd7yiO
z$G+~UujLM8@T2>BjiJjU$9^kFj&sP^bn7(9Mkn?peQ&occH*q`j-xm>nccDJmG&nJ
zq(NTatIPet5IVr^s%0(Ws{z`F!>s=WiUr7J_6DR-?^kEzQS(vImvwVli8pcu&=)tW
zk!<ZZyG%aor78uiE$djtgg>aKa5o3~Lewx@26G}|5*DjPX5EUZ0CTiu&Q0OSI7gaj
z?rl1`?_`<@okehp6)$n(Nm~WZ6yrcF`H@Aq($Eb+G__S(g$nXSW5*%B9~bLvFrT%h
zR{&E(c-|$gR!yQrDO>vu*UMdX<{BJ%O2ku2zEkrm<k#?W?<#QWN0;Y{R2J;?Jt`^y
zKP@q$f{I_I0q}Qvms#lS`%0L^?4VY}0zT+Zc5-|UYq`42yO4^TI%$1;B?**Uf40Lc
z9YEkI1BiH1e+Stpc}SbNQ@rci)W^<ziL3pxrFf(pq26k|{ouo#cJ2&FzNT|EF>gi-
ztXE`+O#a}ApY-AmP=p60)A*bW#XV^=2&OxCCQ#7<`c8g?v69WT)w-%MW$u;TCRW>%
zhBG|)V*t>TRisJ#WE<`4fFb!qwMZ^l!vy@|l0SbJ04|$h7LS^O3Aa-*VCw?A!)V*_
z(4g%V&!=$LI+o0Yvx>0{o+o^adaCt`O#LK31yX6AsL2(4oZYr(=LYcSJfyLWMbM5j
z{7rVOWAn=69A&p565S&I`#X1guR;!3m%##u2s{=!PxR#Bo(^Ck*;TcK;0j&J&+y%1
z$aGHdY<}-L(R7dd=)Thp6|#Ps#OtP&Mo-j<Ynes?IiMf88AT-Xf*BW%{GzxAvdIf{
z8v$Y$=AVcLCg*V3bPB710APa!tS5CwU-7?mDQMO|Lydus;v0PfyIDAy@Ds!$Ms-aq
zX=<7|cA#*%B-r$gP$pr1xDx+L5Mb<TR_Uj&q0F-%!Ii%DdaV6nt^Y<7mA_w_U7FoO
zo1>G}v(%U*e`Pj<CV2^o?mOh(_cKD@sK^m8miqY3rs1rdCw3%-9Tr;&;bWTco4thC
z_q_s7as)w=!f?{Fo|t24GH>%xbW$%7$kMm=PDb3Wx)noi##y!lo@6MG%udoN&D;qu
zK&b}3&LSq>fB_-j9LJ%lT^pv_hZ%hF4J7jm;pe`-Bz%pF7s5p!7+uW~u%BAvlLIU%
ziKoIzsOc)s!z@k5O(2iGKlUXcmIH@Mx^|$~{yrRnXjCL=<mep~<c(1?#vjb5_eLqP
zUy?XxKZLR3B+$K&yAWB{aN)MmEZ@UK_bDr|Nfg0E{KOY*stxJnjN!U!-CVZ*s=p6W
zaN;AAF8*@jLcJ9=h~3wVxY6D4RR0+R#W|)Z*J8Ef*Lc<W&%75xCr^uV!i5nlut!!w
z(AgwxSvB8`C}OR3Uqi+$4O2C1!`F2vvC4TilcJ=qj?$25dQG!GV3S}QuzoT1dKojw
zp2)!%$gu^p^CAl4-MpMJFYGdvn3_zFYM11D{3~`s?-l1IHk~tUzVhdw!Gd>ti%Cpc
zF>l`kQ`9f=>FW<bbF94XW$q!jS%nq91q`^yvcp~*IOIa-R}{+%oC1L$!7-Gq_~3zg
z{-!Z%4fVqovm?T)o%(H8e}^7O^Y~@3gR*5hUQ|x7kw^lofcDDA(esL*C5V+SrgJ^W
zeTP-R8$>F44c1lfhQ1-g61pidJX3^0_65@(RbEHCzuFhM^YpB1BSa8Q<s`p$M-(~(
z5?8+XFsF4YbXkqpQTj-k8g|e2blndzRUdC!9y}rw$@0+BcX>ozpH<hB$3i>Hg=|LP
zh-x$s6ud%_*RO-7$~&^RHR=P7t)|^rZ&Nx`m0>*Te31fzJA9efW_(9aJDQ(rAB`K0
zWxK&kv7T+sGpKq$jurz{K(^*(xL4|dSW!x3TpwRF2PVjM1Ec=`>F%wgs{EopPEtUT
z6p&C*1O%i6B%~xnLQs+Jk_KszMnEJ5q)S@5rAtb>q`O<Xq-J0Iz3<H5vu6I7S&O9$
zz4y7#J<mD&?6dcGf3{aVQu^I%7#BQecIDr`;}i=Q^67NH`&{cq;+Lc(P1-`t(|IfS
zRxPiO;i%blT;dA!_t&KIth-nEE}?>RKM~}*k`!MMl3{@dj}(dh*y<uA3yq_84CCy$
z7g#ka{C3*q51U$~K2Zj(>0%;^;vn#?Bg{0Pd%Uc)5JcOm*!m#ZhW|;$5RE!|8W&}p
zHQ!x6_I<Q%h4R_tF#gCX+8g@jV2AYWvEChAll%+LB%31YAnC)*2T&6$G=jxy?@g+;
zLaZRhDid?K=GB+r@8iza>O8vQptI4!c<p*Rll*gC-N_c|#Hn9j#;hM%>ro>4<dTMD
zP|y1K%N(kGNGy4^^jtAul%Uh~=GXo2*dJ<I0x2IhATIBY*>vv<>7iQO^}kN^0f%uA
zNn25~>Z_<F@u|C+-ye?$k;P}G#g$WO2b3}e4+H-z(oL0d=dq4TT4<!=bi*1a`Ieec
z*Y@mCt@4ErH|4wHYXhcMMjfGeT;ZZndy0s65Fy7|Z(RNqCbc`7sI+BtD_rx{R{g#|
zBm#Hm_$QKlJhm`4jo;5P1t1iw;5C>AODjf2XSC(strs+?#90k}pnjs&(@be0wgF&>
zQGZkvuP!#+!((4o!3T%G1ATuhB0dHWSp-S_?^3KqOGZPMw!-Tuj+`6Xv#hH3VsyRd
zr=#Q*N5{U<`=Dar=%ry28CZ}+gcsOS?yN4({7z^@`#e(NUOKVS5T;@Dn4T-*l_gS(
zMcw&3dA~sBdo2kOo!$W>`~8w(lI~&>IS*v-f6@vndlPbe!4rY`EHn@`hk>2FOfg@>
zRAL*BTs?6-1Af6c1;w|FlIMx2QKld^e&ACqDG`G-PP@EDC4`k?`w|~}w?Gr?lQo6Q
zexC$MObFNRR4dak=#{hWD1J3rQ9S7_)afU9UwNs<+B)CwS)V2yb)j!IuIr~oe+-K0
zz&oAK$0<$>4tFKy+t|xdmGQ_dcLT!4(1#LIWC@pjG0jZ=q*{j4Mxmv?b}=R4lQq;O
z_Gk`4?jd|?Uf_>mw9QvY5HX)RdQDI`yS44!Ok{83;XvmKR&oAg@#X>^*2zgw8^3qG
zhI(fsvgHJW!ta+dJ|aeB;5n;0w+0z%$}?%fi(~5X$bOzA%`WOL1Hhb6-Df+EeT7CI
zSujXxL8H*2(@>z8n8SZ`7dzvkf}5Z>`Ha=!mc!pdnHOzOql#Z~<Ar6oE&K{;Do`kd
zvkC`~Ag**YcZGf@jf}nFSV?9LZyaAE@dBG{0;zyAw}#330_pEhJdR6wRe$Et_{+uA
zk`+Y-&b}*s_4DwhA+g-WzJucGbmp~zvTzG0ho59x(BKDW#+*V;=Z_^JU0M32hfxm2
zxjY7ata$Z5mVB@^`hhJnR>qlesRys?X)2^3c4V|h7p*5p>HltS9kGn{6MySgKrwie
z(Q@XaB!T>1UEAp5FRgHH=V92%EX4<{`sjYvi(B_DZ58N@yXZ_M*$~#yj&u2$?WMlr
z;Fcs+cpXAeUA{~r^3_?8T9wd^VDH(a?e0Ds(CV?=z2n3#6U91P(1<f{<W7C~l(3n5
zG4O{VREjv>GPH_&<D3@Q738n%8%v43MDqM@9WkG*4-$XUF<nnV3NEokXP5!hmbcty
z9M^gt$0y>muywW&O*L-4v)m)bCuT#pB3O{iGk%6NT4`)%VjjYFwmBXX+jMBwb<>fN
z@V{?KZ`H!&wbS4ea~xN|#GMnxQwqUNEfj3BD5m#qls$4#z%C)A(``F*i}p#Kz6=w)
z2`R}u@%-odJ<%w=mOT!qL(}dII-gENr80%g#4ni*NDHvn2Hc`K+C5ychb>WlMOZOM
z37<_`aCAdZJZhG<8uhjwl;6(8ccZ!SaX(-ur;pwDO45^W*#BOEKaSHZRn1j3pp2rY
zO?C5-BFMz9cS%UPJGeD8MGQ3J7TX=O2JZ46A?CjXpsMJ>jK{Ahy*97zy6nFWa^<4y
z**<Mec}Eo$X0SaT9cDn)*2cbX#Qm^W28&K@pXL#dtFFV=eVK%37;Jr^nb<h830Ot^
zBnH)k-Jd>vS-$DwMZ6S}@;A;wTUIEF-SN?5iqt3I534mhglNYeI%eXFK{}qBjw*01
zPQLT&E?;vK0Y2$oJVA)h?CVfA%nrkA<Fh(w#SFzZtNjmEr{p$-gJqFTg6An;w0yB?
z+FW8>#+_|zTxeEXQYT~&ygwj<)Ds<s%OcpG@>GYW1x@>-Zf*aImc^C|%HwyW*?wOF
zrUG_~dMgUe73=ZbZ&T-joP7YoDLOju=h^t~gvsvHJjYsf51rz;`P9amnqMZME{dlq
zV8L0*^*bBO3Au8axq1-3^xJEH<9Q}^=yc0N`Y+xt+oa5iQPqG^80Z*CAWtDa<}O@=
zqBqiO`GsP~vnfWaZ^HuEB}kd|YOiZ+Xg|=MLZ6p%em{ABRCjsjiRtag6=I#7FHzf2
z#T&g89OhX_dm)p+7yV+&UfL(=(NBsq$!BPt7_FC=p3hDw1*N1jlc(wN3FiHZbsQ#V
z>{&J2dh?7df9^z-y%|HTKJt)#hCp$oj=R!VyqB?+VCG`kvQo9mXeo+r^c~e6H4aF$
z${}x@l?E0Bv#d4b5ef#N++3Q>m9>PQQrc-<&EJ=(NI_wgLMw;~$C)q2Ve2Nw#BUy3
zon)40<jWMRfsEtW)pK()hOeHYo>?D?Kg?h^exVCvfuH#r=_$W=%{_RUcMTj9;)(-Z
zGejp$1mArf4&<zE8K1~AB6Tg5)&F7e(}v`c*7M}3s*U%*ez{it#KL=T9;cA6Q3IuC
z+^)Chbw|EFR$B86`*_&$mzMG`msjDeQopBcke)-r?Er(jl{-CM(d?~`mXfQa$k*<#
zhJR3q+w+Xt)v5g1ZSh(XAM*yX(OX5;cJUrLY1ydk@Geg4GJcVY>t9;XW^?_=LoYAK
z>ebAIXgv_+%kM&|?Z%<>s?mn#kIr8nLMcm3wvkU^ScG>`gTA&n7;MCmrqEiSEL(YR
zNO@A7E)%HW&fefBVnAub|ML80P;6sWXEuY(9A-~g_~WrXJ#|0K8OIL?iNSob_<H+;
zBq*moCxi@9GPoi$o%hSg4FXbFG;8COF(X>TPp+FrcUavnR-#S1U&LUEXD6(~KMaQ~
zZ$Uo8h0#6lNs%b!s4rU2gkrwbOU8A<1Y^%XKphcT66-M~JQE=mdRlF3sk)1HX1&Ct
zB^SDa;Yn}fys>lJZbMc#_%%1J$AX=3<-w5ZW_(8!&(mOz6x8kkr-;WF7uGzV@zGLw
z+R`2HeW|Dd$q+moA+%8HF9rOOYHZ3*B(Ci<TMc*Wr&1lYbjGZcgknl@s~MQDuqQJ&
zkTcd*UGSMvuitEzdGYMWa`JMIH;U0UzRE1mD_=&)7g3;FRw!JEVgF^bV&&XR#N+p5
zhGfNm%(eOpsO#SBp`M%;E+l-TwaFv1==Wn;*n?xTCuEoKUs11z0~&$GG#LxKdWQ#6
z?4jiol6P`A!?-iOLMAS#twgN941bvE@nD}?s*XP?lII$4Q1bWPtSBs-P8RbggER~T
zKX>L^=}OF~vl$--5#nx=Uc2W!D6a_8%{}m%1Bhv7UZkKaAiTi{JWMUz(arF1jUT2C
z>vKOA;Q2ON-`<Y@0*5*2?1H=ZKU~CB+<Kp?!6(lk0`-^79xqkxy3cGk&-BR^awdx`
z*Mron_{VZT^4I4%ZuplcJG$b_-FJCYNF$u&dD8y%(c3h&&$^6}yp{b83B%&(EmTyO
zYS<4)iEV+A_5PS>{ryLU9mIxMoM_Fv#ADbmc^6VK?s!TS=IdUob?3+HV{76RDut$P
zkJJ2!8P!-J+A02`pYgD7akodcl(EJ!J&JruEpQhjO^U&4{D;etPnTP+T9r{-`$3i6
zmXTbYj{n%A+^zoEO>?IT3cnE1$7M8;Zp@#bx0R@(09uE~jd@@tTL5x~Ml`JEYoW5W
zr@1?p;mqq}9GV)zrsX9=R4dW5iHvFw-DZVp+9T=v3YKOWhfU)I44O+uvwMu>Hn$%)
zdosH$wbMB<TaOP}b`>nIaB<80QU4ir+T*BLEeS=<nB*QL)0g^tK{d<vhDtex9tCZ8
z6&wrKj*kZNv#;S^Ui`%2TvKErAByo(Gat3SXHjqCD{ElVlfb|Fi@pmEwS{O8x}q7L
z!q{NbZ11lqOW#=?DN^wnV(En%=G=*U%{OopS;^`3`%n7c?uwmy@+)~8S92<D-ZO$+
z9swPz^UrGMlif1&hq}y`c1D$`ER#mLK`sX=6&*vSGI9~^w8$vCJv2xi9jVrCr`Fwb
zg2cIF<?kAQn2p<4@KW&VuJy-1Ei=O$^UOiTiQ?2>^*LZvQ=zw;@xZvn5H<a%k2l>a
zlT0Ofad9uVNR%oUtv0smLtlH>q)cw)kXpF%Pc()I`o2o-!PkUtHAz)t_q9LJPXQT7
z%zd@ar9CH{(BM%|qTp7@BCe6r-mlQ+>&1`b?)B|Q?$=QyY6{x!rQdXMDml{>eRV-u
z=+qsTXkY#y%H{J=l!QM7ItS7{?4?RPJ(a9{g`VRb&#cqrt|@l;W_i^Tlm;=B*(@ej
z|Kd~KA^V_blm#Rp4i9PZCmjkFcMncHQTLW~e<8Kn@)p@dh$rwl9bL2J7ri*!5G)%|
zzC$2GR3o}RUeS@!b#Wd?7|dIp6JbcxDaYmOu8CHA;VA!k&Ks8{L%sLR*yESg`rvog
zol{Ny9x*G+ld7ej3hWWf!|5JPeut(2hEI{Jzq8UaS|*S&7WlX8Yuubl2GVu!o)X-(
zd3B-wlz*%RYw61;K?p5Ac#uH=w&M83%=l<_aBdD~xWEq~y*{G$h+l~;Th-GS0oC8O
z%n1O0^RhB%uf_fL&Z=jgnTeBW8!7V9reYD7@1a`l8OEkvmmo>8Wl*+4-rJp@)B=M9
zxls<c=uteVw}%ha>vE@@Rn|pN=#=el*oaoVDJHp0N};ZHzP^yS7izarbo<?%zkP8*
zOu+}uQR8$2wL3#pW7c^=Wi93bs5sw<3~#7-*|pIJ&Vk`X5!PDWie;q8!XiL63cMsq
zIZL7;&h0msyTon!_+^6!mumS9n)Q;5>B6R0#W~IOT~`{O_~}ZwoBd}u!-9yD)cfP|
zi@@-`;PNOX{}KLBfqSxoHg3A3hfk%-sxXO#PkZuYZBO>MK+y<ekHEWTJ^7iLIqxB}
zkqCMD!<wR^WoL5~V&p<3Pi+CpMec2(?oXIGZrv#-*7#>e_+#EfpM8hnFy|qJKT_$U
z=z($}OTnA5oaSV=<@z_oDP}MWDKWh@+-*0+X(Z!(V~^$LE#@9CdL>ptk=X>I3{NU5
zr|#ue_go3G-``jA@fr?#?%4F^#Xmjs6shXvbq&w6f+2{*)3WI1!zeG04<jUfAy;C!
z<Ih}Yz8=xFK9t9-mb&uS*5qQW@?=h6n20GRO}D`jhmSR?^#!kKFDq>r|FS`L;T0F>
ziP;}FdE7kyNWsfL>Q$F?>BE-;%q2Kx3$_gmvS50>(Eh49nI!Nz;!|V?)j94i)l^S2
z-OKqTii1G(xc;D^6Dlw&NF+FuI}}`3{aA6Sb`f9Yyw}s<Gn5qQY(a$u+%7z4l=3;|
z>S{`ZpnD8%mc#nF*38F&;UNU=346uLJl)x6NzLb9XA+A>mASxrE%qc%*PMIBYh~CP
zQq$3gU(v<>?l+2+ZRN($StJNpb+3ACM?mV>!f{KJ%%IpRZur7d!1=UQkfief58ZCl
zX5AT+?wiq_v0oCBX;(lo3M&$ISF<VSlVjD?7q5}=ky)^g>mL2;7`v961J=g!N%qzo
zbh`^RjUkbZU2E@Kxgz8zQ$hrY;{QizQS4=UeS8$Q+W1OV@34_C13w2mixw4Aif&di
zAmB<rif}np6FOqlzKBa)LcDVoNM~PY(55K)=W>TNkF{G$?mT@HQ}OhoF%<cM!g;~M
z^f7=bz7KzE<KcI*-<aTcmk)b^_oCL;n?)CMW897T`?83G^ORysNhZU6xYR=r42;9e
zi*X55j0wlxHaZf9w-5Wq*`J<+p%ge-2=lO?<aZi6;=1YZu$Ym&f6VAY?FBh=ybgw4
zwe7T{W^H$(6rKJekbCg7P#l(6muh1kpFqwml8t2Y6)Vqt0Q=0|B$uW$>pMLgl;&d@
zfEaDPoT)=X{;@m)%BBOni?YB65SiHas*i0<Xl199ViwqdLQ0WU_;vw_(uywkV8W7Y
zG%)NZ?$vs7zufrdvVKpm2YuZr1TZ8aXz#kCh5#uMkfZW}u~}>Xh`m<ABB7m$37nEN
zblq}xtOB?0<%8T=b43YYB+djN(a9Blt%c&p?ob0;2DPZCa;lF)2ahLmsyBGJR(&39
z@j2pPFMYr~UOaN@2>nu$)P#^y0HDAa5J^RqCodOq_3A<|b1l@X-@AVE-B2Y+x;HGu
z`Pu6qTMqLs%-jYO!u$toE*GnJREFa@EY%WFk2VF5#zVci)U9WgH)Ah2tSc4oFK7g9
ziMuW`C%=Ip)78&3TFGVHG}Daci9y1^-jWG(^-k6e$*<fF9T6`xIPyO~>QX7ql`ji%
z6BdgIa5FFa@#u4E@)m6L+BEfQHGsP)*0hAQpwceUknxK@Gx%TJ07yO;E_z2suu3?s
zo%}+rZlkOj_&`&|2KFAF==rs?cKPl0Z-bV4cz&je!i5s>qSy^^T3Z0;`cq>pGb2HA
z0g(W?Np1(>%yAYmFF5Y1CW~S{ssKSz7M$V`xHC}{7b1^T1lo&Cop!?EJoo4p!&`@~
zDgN;?GZD%`laa4(9$8T>s;Gk$1kcfm;*h2|F%gI=z%sBt1SJcX>zM=L(pq<1D<O!(
z9G0RDa7Z6}aR4fc_Wf#Fq}7UW1hxFZfEdvEAb$2Z(e4hfB44r}e$A`d`;aG9?ad0Y
znEv4V73U4MO5l~UZv+dG^L7}MW&#WcYAtVOAOF$B0Ax@=D(Gu&3>r2p?7Muo8-tt>
zoZJ{r6Jiz(ijTp4N;;67sUSBmPl8Al_Zen2P?^Lp_fDYH+`6U`s8<kMv(z0e(nr*m
z2d&K!o3>^^N)1S84|V}pd+%lla6hOjLPPgk-qO5D{6YW_z<wX8*b%OYCzw(}8^*&%
zBiqLjMjc!)NzbhphW~Krr<;O1BT97>t($i}CxrTvfA6}Kf4<D)csAYVKyuljM+oy^
zf&-2(Hl<{w%i*UNR+atMpQ)Os>4ShY0vc@}{51_~DzrR+-~q(M-x48F2^BfZ206nn
zWCUy=8&G}Fvs`=nXFdW{Y8oyFgOO@hZ2(*P3uXQ<!2*NAbKwkhBRUG9u7CHDa=nV>
z-i+LXxs3Bn-?Zq-Ca*%C)$eB*MCFgQ*q5<)+*(u@6FWv)Wr+wqSP51}3aJnAo)1E<
z?sH=RwWf70x(`_%H{bg{dPH?QpK~z(p;8#_OTcDmU$c&6Qhi<o)C}E5b-Pi0{r0aF
zyX}mHd&gCVefNI|1i2k}lW43A=Tp*ZL74a&_H9-m6v{mW&Emz$u!fTvfN5MIBL(m{
zGX$3B{D9<e1yE&kJ!kAZD;8g18s4y4cX*(h=vr1{?6kJiCA<B-TGX%agRiI|eJ(6C
z5;Pnj3GkU=hw5}{`^iIyfA|fk{1jp3Sk#VgrRG4OjZF=Kc81_l3`G$493~1Rk{2yN
z-XRTILK^tx<w(vaPLVXryg5H8kVvW^!A&HsUu0ZomDbCAlcuCK4h7dYn9ILGsM=Xy
z|Jn`CPWkhj^vIiv1pPjziW^7b!4B&OB(70xfs_V*oSCjlLX<w{cjU;>nO}Vqs=4;E
zTi~)tM!owbeu(*1fLLS(q@u1+V(d@Eh*&Y7q@hCo<9X|^bcr73KgUzYDlk^j>;^F}
zCf=cebdx(kOj?N1U?^Kzo6y&~6sB#&O)j^KGr$bc{3X_Tu~(0ZJ412?hMLqb?bX8P
zhhmx{qCyuHc$^BU-*Kk~FAqrW)-9&5@0_qt3nxaQxuf0}@?Z@8R(mCVdxLgc_Z(8N
zQ$T+7ZBQVlEU^51Fj{Gw9nLS3C>>7D{hmrnXQ#gKp*8>^0hjxyHwiUcjdbV1BFKrK
z0$!KpcO~OzB!33btN(g*!$>^fc7q)Q8@nSwc37&ng_+qt1<T_@VkS6RIz$^b0Om(b
zMD%nC6<c-Dz$*xge$j#477}@I?)LA-ZWvzr4_$)!y8ne0d7f_G0@zm3(+YL2F3(?Y
zR<KIo2*w?p0F5U%TeRre9Vt8<{{2_!O>86W8L$sP%JAuC$pB<Q+ctP39#23`{}7Wx
z{h!3*PcKoNu(j2E0!H5Est{G-G3El)T0!6tiE!8TWRc{WDrrx%vIA&oM)Mgccu_Fs
z`Z42sNvXFvgI)T{#6v%RuBj|(*z`&ZW#gF0!#usgx80kPAD9sJ>X|Hd;@N^N-2)qc
zglFvVd?qDR>SE%r{k+O$H?~xs+SEtRc1pcFy76kXI9oc}O^6(l0pO(?%s&-YqNw6g
zcM5!2W9?bd>nu#UwKQJX-k>2VD%mM8;eaS_XGfuCUfd^A0P<XXnelW?z;PnoCt25@
z=!-^Z+v$aKimZLv=291zjeDOZ)AuhB(8l%g^YD9WX&*aIq$A(Uzw8IVs+Tv?64@sa
zQ7QjM7T(9Jx22g)8bsry-_P6uvXv#l${Sxy!)i{^z|zF;``H|wm6Rb9weE}u^3)YX
z$?J$`0Y5XSU_k_g6hr>|9r1*o!#>)NDW`m;cK)~T;lgHpf}}3?f5EzvA+{6hPU&tx
zc5NV%HvW)^R+AWf`5!v<rv&T;+~Z8oGDnqsY1RqpE-n@BfT`hRTaL5F;R$C_jX*`S
zZVx?oP$pJMeGvi$^AToYBQc@22Rt+i)re2^3PNiCl9F7Slo#fs+qm%Y&G?@Y33|ye
zG`M34p&Qdo@3Ip>e$Yw~AK!qbs(M_&5@g$Umnwnjk3x=81J*|`9^&^PiZP`%mrW_S
zx?sG}<h7UFsrNQYw}mc1^YGi^eKiJprtg2yOQiv8Lk`uj;&2+G`ha<k+d5Xcov9LG
zw6Y1Eue;vi+H`w40?-M_VNLg*kUue90p1IFOfm8jf-|bHZ%)o-&ZqYa@5eKXzGU?F
zoeArn=95;<N}HX0tEcl7fH%BP8rr6)=_1xyHtp(fvJI63@1&$<9&m^&7f<tsJfPkI
z(X~~sCjr9K03vwh!3O_!URB>)5Em?=NmqOHk1lJ*bm5_>+K*a$n8k417|N1oe4^FJ
zO+5_+ES%Cou!d?K^(}L1WS!iM`e1t#9p<onG!f)g1bFGyQ=mRh)i~+aXw%9h3Y>$S
zV!4{^8VfgCOk>swFUVrLBZAz*<7Y><NU#L|u27qsPS>8p-uuLCj05l*GFh&`4lW1L
zG1tB4pp9iv%#)@Jx!Gj_`T;3c^s8Oc2qnHUPPNW5dx=RUIY)0$OxFube4{>Nc8AUe
zTwPud9cQ|4d-t3zP=e94JTZ$`Ah{5zY65u|z->1zw3nLF_E?r^+B|;5)E#(N(6yQ;
zWe%{RTC60A6!e9MV?WINxq=$AC><B@rFnxQH43ym+8$(N!@dR<rGqCYW`E&h*j90m
zfNteod%#wki1`yY7aP7i)n3lksHp@M1u(aB&aC@hrU28|V*zu5?>(zH-}L1S^>?yO
z{<{rd!XB(~8un)&9RM%(7us_6M#W5t_j;(!pNVL>M4p>u8Dw|!>E+TFR30Q0fF}78
ztXABpDS>X=tQEj~Ni|7PIYTHO?EzggY8zji;+eZhy0V~$<-4C0w6`zUfL52gpPB<?
z^XIWVrDVE6x34MjOngB~v##FnO%fqJyu+&H-lpINM?6s~TNH=Y<H!#J?a$Dv>AvkK
zY(<|c=nSO4q(4P)>_HyTm@l)yDt_t$!dL|z;x~MIo$Mp3O$9PPo7f+XS36o0E=>qA
zTG~)$WZx<=9eu2OSh%eN<hah{dAshg9|po1q#afe%jrx8sOc2s*Q-qw|FjB^Tfb8J
zZy7%hhTuh~$pD2(6HhO8@s#sk7i5v`yy8oMI3)dWPn$kF9G#K;g)`K-7IApodz(J3
z4z3GCm75J(DiyEEvfU)5yTfHZAwd_fHyJKkKN7=IdwhRBYvDOgOM-uQ76>3f|H*cZ
z#*-}#GN~N*|6@Drk;5ui?wbQPz4ir#{APce|3M_uPWlC`c)Il16E(|bBHI2l7dQ_o
zqxPjr5Gp*F8LR^RrqX$R8c>3Zl{`jm9|`DJN`Pv9(_YN$<tl#2kYe%401%gYR4^ti
zK=SVZXq!TTTr>rD9*Rfyo8TjLyvytWckC^Q*4DGG3?#xJ#-rhM8qF7OG|gJ(=0n7>
zmS2Td(eR*g*KyQteK`LTE*ULjP?oqoGTW&ezY08>P&KCee{^tfRl95i>aft<zo{AB
zBmQ`4yt(8gc|euzcF>;NbeXRIUJqd-ouK0+R`&p78knd^G=Z4Pg`QkDt~~j+4q^ES
zLKIn?#51oO?O`O8dv-Zpa`7(+zHpdJ-EBlC_!1)(AcSA9<Nst#Y2SUFInZiub3V+(
z=Xm>gAx0Vtu^bVTND8qDNRg=w{yQZh4oXU3;2-}ml4tvuafWs92(g9#-+a-}v679Z
zbdeN7W4`yuOi8L=|7Y?DKZ8BsVGO;`7mC2MHoC+nkS<VQy5BJ5QF~kRZ(qUm0u6XY
z!ILR4ZFa-zN590D3(k?ynZNN!=j;8qCE?wN+ZFz;bozNLv!mi5*kZ8Sv7=D8wLNPb
zx9dXl%JI2jc&hoE>%Xt_3k`*r@_tjU!=8J?R`A`OdXZqe^&vAj7~RYJ9GlE;5Tre{
z$5N%x5*Hg4UiR-s5)m7mgy2C@;cLD0)S%Zq|DE`RzGK1g{qCZhMXbnwKQl<9)*mqc
zXMFds+KhlAu2)fn=mo?jD)ib`1^&AgU$L34Va*&@rCPeX6|I%!E~ig)*5sc?McGe(
zsL`)!A4>DBHyc)e-tK+lo$Ag6r_mhux`~WONF(^yRjM+IM2S0aWBSg7*`EJKBZ1%;
zfLrty8{f4RGUe!GA5`0REV=1iOw};95}B5dzOX*Z9gdOCp}2+TaSU&5UQWsWZydj{
zdSnfnFsoJ?PHiN1#?K4h-gFk+JB$aRnDt+AU2(Cme@Bmx#>=ukR{d$eQI(@o8kc?B
z%>j9wQ}8g^eAB??GFPI`WVrhi#^lfsi38?MGMD2&vG~y|Ch2gBip*rn{_xLZIDY=^
z#jLPFg3E<haO?dB;D@)masT}qq<%-zTIs~^e9J+rcXQZmqP(GUarneKul$>J2cZlZ
zuQA2mLS9uh22M3JM_CUyxVt%(eYC?QOL4xGO}q021H<*~V*Groylz<EC4b#|swBUz
z<ne2&kKl-O%(Tc4{(B;4_X_N{65s?{$Mu1`S@v|z|IH@~m6UgPmXqVGr)U=26&=Q&
zpjvE<Tg=Q>ZT=Bo`)y&>QIAn~dAJ_V80m5{+B(@?w?EgBUvst=EA!|5wUhZmr;E%_
ze-A0&8@J{eBuo;<?uOyEa<eGXH%h?_cNk~h4>jRbSc!c_gjikCLd8RLOv>DD7ZaMd
zP5Em~f&nqYx?B>X2s;$lj7Nr#fS}%?EPGd}z7#P86@PnmDDs8YC$10AU1pDOI}j?@
zX|toO51n;SUnpwUCttrPJk&WK8>IEPc=rUXV)SIKj7i3zl8gj>JYw>4Q@<*IAA*yS
z*u_yEJmr+VnHe89xqq3t-Dtb+II3Qzrk|WeDQB|iH!Xc!)_eo&ZNBA1U+d6cm%;0V
z6%KtUC}RGRGh4;^HK+4)FVDy?2YZGm|6X>OzLY%gdV#PMMaqPEUlnv|0;C}djfv)t
zB#>W&v7stW*4aZJUwLs<=;Tk#s9dbzQsrf;`ST6d`n0B-S*d2}&nTU}<*p~$I;x2_
zYhPJtJENX>XUFZ2q^q}n#9`?DQ^LGe!)dxYr%BQodp=rzRPKe}R<Pk@QCA2$J)(|?
zL*DH3-}H&9q#uY!PLHOsPN?|_AAP(L${*Pf7^^f`LdM9ZA;|=BEhH4N>r2yx)bC?g
zblQQRPr}C}W7s-9P-Vl_@-ig38Jk_YM8<4Q`Eu!ES64a$j*+$cGg{WGBlBzV@85i~
z?&0=0$h8P|SZrT6r>-4{p8R1p?PxVXmQk9go^387w=(%LF`n%__PKcEpWZBm%@2^~
zsbhV&l=s|xx;FcL!&x42QYSU$%GnSm)#&M<N}xCDbWTg<lFw5(KXzf^!{qQMl%;>2
zoLbQg|6X8UH_*+uyeht>&pG5<s2MY;G`vq)@Ap^y+T=UhZI$f89~P(ngGy-~6ho=X
zCUlDopji@%AmlF5OIo!azIGGE<ks=0w@}5GczIg4^ll)+%=P#{_Wq@EdM`U&H0ABx
z(DTr6qL5(z)0SLR45&z3-KNfBYY2)G>4<Q0n+wpFa^o*C^-jKIC+?d~l-1lG4@LL(
zyTz!Om(0)A^V7|IOrcWmUXP#LGeF+U1UJ;7m5@mVL$Xn51(U*3sgTH|i?${yjGxq_
zgF>O!YLKiYiv5U?w&n3s&M$_+pq-8=5ub1qE(Ll;zG$+w1U<w_AwrFI3MOszNLE%D
zrru-ZYX=PBOg{`y{z~WRVXptM8Ki7gU?vi75P4M8qAD`sU_>%mOJ*{%BFkkl5%mhc
zFS~H*Y<El2i7vbFcEGptX~l~Oy5PGVUiFNHP@Cn^(i#!}#NIaC?~@*<H<i3=^I9OJ
z;&>|iYa5LZb^@RxBOxj1H6FX(M>}E7p}ZEqK0XWzp>@O03eu1LZh6e$8QQ5;1jb&d
z{4k#W&EeuHH1nx~aqRbz!ITDG)>b68mDjPDt7e7w^(Dyn+0P1Ju%K9#lXZA<?w(5=
zkZ+DxJ)YB5(4Dl@rJTzhRC=_^pj6On-8e-PI;dn(vvWPW5VKgJLnY95)iI-(%>RYL
zi{m0P|Kt=wh_&CklaFvkh45EKHhx(SMA$IWefo0QwL9P`54(!_>#FL@WW8uKk3C#{
zqD%4TuG0leA&VUw;}>jlf+nt-Mw)?QoIH-KI-C)o_w6|qq%R;-c=jifhRbH!V*Yy+
zJ#by`&#-vR5-yod{V01GwszqcvY5uAS-dmZ<62oLe%{z|R>dwg=D}(j3hLw_5=p0S
zbAy#13jmxqZ*VvXKCzlT<aZ<=;^Wh}uf7*tZ(sL_G0I+cc}V`8@EHvpkGZeXgAmj<
zoGgeLApgpoi?)JPCun3B92T6VS!1fgKE=XbmYaNjU22`AjAr<(qU4F9XY?Jpir=B(
zDiPsSoVZ~FfJ^^`p7jvnlw+w4rX3<X*}Jhi9xgFG4eb%LrxlyY&{VA18<jODx0d)E
z!Nk=D*@HBbx4cneLi<K%w}kbVh1~6uYz<Q=@)%XX?|F~Ly!m!7>Uy)r<w_N4apdL{
zVeP$&dSqKFysX`iECwtZKYq9c|IPcbMDZ(hP=aG>&3aEZx^#Ekah<m`YqgkyLBOy6
zG|bh=*~X}AEf6II6Cab;BYgdbOw`4Aa9v)mYf};!sYh~IhJ`=T_ZGu0@AKbmEx%{d
z{KWLaWO3{zwoWfB@N9#u{>|4N`>cN9AcW{h@E4mLFBgA)@#<t-#6+HP*{qO(=`L~$
z&Wia|Z;eK^XeI4cpg#7;M%>Bz*h$Be9HlD#`Jp>ib{*=G2}3%9Xv7zh^vd5QD+r*;
zz>a{mxvJQz_AN#j*GPU6|H?8;$gbYyJ3EC0o&KS)qD4~rTe3zBX*BJP`WhM)`nHVN
ztFwhFR=F8bMeCqh+oGFY{$|`#K;L`qPh^j7^o#Ol{F;y!XY3^|@eSbNVq>(pa%Mbi
z2zoU#S5u>HG~VH?_6EE17QP;w=h%+nX#Hw&b}}pvhQyaGL%D{&`0cfSF2@vpuS2$d
zjy2O~kKxyZBw(5AF4%}T4r3Ve_G#;xj?UwVV21N%biLl~OpDC5LTC{@Z1CSZ{eG-&
z^?Z3AF$I&OPbnJxhCj1MEcYZH{o4KXRj|aNO~*UhF-uN#V2a_a<WM!a)I>J++7wft
zq?7H}B*dPmhl*U5d;jQmB~!%)&(RojTHNx*;c{HF+ar}y%Pt?Ys5^WZ^!gdGDVQUX
zhJ{82htdA`Q!x?W6O-cVoeUdS^WWs@;-mjP2FRcw#`>%6W%Wda+Pdn|a<0XHt`!^-
z@Sea{`Ey7o^s18epDS`mN9APhcK0tlQh3GHk2W<p+NMmjj{m1SspSUmJX}utf9hf<
zhnHFZbFD8%Xh7Cvh5j;7)cUT$6CI8#(^d8s>4Uvnf8lv7gPt5{y&oX-3k}fRprgkL
z)9az|{Jnccd2RCAhynR^7o`UdmQW+~I$88Hs5WaLYQ+iR0QE`)AG-LHI~V691nxnV
zztkQ76r#mY{$v5CRH*)0hX!V2Que1`y-RMG>R*|ZN58MS$iXAR@jy_;p&1Hv2KX~w
z=LU@r*fVsrzqbKuhYcF=0nS55dKgM60`FIu5v9HU?VAJRzPEhe9VBcB_grWNs~U=d
z;B~b#o;MJA1XAlMu4OE`xNWGpgf16h3b&!n$r0%AKF0_~dI#n)Tm?sI3G1V(=KL51
z0QU_A82VQHsG4O^#B&DCLH<lsu!kmCck_5ea!sIsoMB><ZuQ@@+CZy4tvmc9Aeyxn
zJkR~7QYAJsQ_o8{BJ=CMdzvt_iLahgg%2&Qm)<*iZ6!&4GltPdoiy6gb>j!4*TueG
z3y+ml5zUK<x)&phc9^Pal)e79<U&A@McpSlKH7FE!8&njPrNSLshb}+zgY0hs+<4F
zbTUhP7i)>&<=J^&siIl%_w4LFz1hM2tTZ0R0VcWxb}qZG0Z1sAR9dP+v3E;4p=>>P
zEHCPB|Bbf_P$5zAMwO=Dz{t#R_51hI&GKXCbk*)XYZ5`)2@k}Z@LqU8AWD^-3UkTx
z3HR8_81(iMvwdcw^mVN9OzrFQuv#j2B$Ptp-t`wyuF<Y*jeJJko3#!keEZF@aD#E_
z9;?OCYV5LDbDlkG(rpQ0BxE!^%s?SCvs~I`%%wQwr=YC-_FU$v1|rD;2YvJ``PatS
zJO6v>9im<=JeVx`n&)*pE#%{8M}6ttPzM;tV@<2B3jy3nK%_lX&vJ6Pyf|mDnrr&}
zCmh($t2e3s^k73^ZM6t6&)B3JbVfED&kxrFB?6nQ*+>m5Kf|{ZRnvmnf56Z0WQWDz
z#tOP!K!_-lod8zDH*0zb>BZ%-f%JDCx*diwbFTjNBVvRo*Mi#b81*;CzOKe_#e2r@
z%VQ+@Nb+`)OED2c!F1yc%6&h$<}GqCD%xg^K+mAewu;@|U0^tCT8=b)#E{=x8_X`f
zK2hUjU!!>hME=2M0Fv)Qzcip4NW6S$whHmYTVx3WF1&0K%O=p9Pzu6cZwuMqb#goI
zroM55wv5`1KAFf6B+(HO`530ja^2F{Z6)cGjh&g!y@)y!xUUGtKv~-+>m5>)4}OSm
zsw~vt*ZuD13*7kDV-Cd(Zs}9A)<E)%Jpv9VXk&*WrUeDpzW3_@V8YDFS$Ymj)!fwd
zcZ2e035Xh+i-~#Do|Kqp_rL<k`3+q|h=_>jyH)F4Yr>Q{*UX%OweP=s1`&?#Y!||g
z!V~qBc?%(<;^M>gIcLn%rQg1YsWemQUW}*w3h%3gA3&%@`Av<Dd0o%ShcuwZ<APc|
z$Z*LNBC*ZQ&CqUbt2gQ6RDSktMtaUcF`mdr%5M}DA{?58ZEZ_&suQ1>#q63qF^6Rs
z<2n$RNX$X><lxWbxTE715V}9?uM|QGivLpv_ZxOS1ejP}Q9WG6-<#3f+q<i)i<rUB
zfauxDKyZdY&2z+T^i36VajE&6R=!!(!8~5;QZ-eZj#UAb=^UBG(Q=cWF%INBR;fes
zlZ-JZRZzMWmk9Dq=(qJHp%6@0FuRB&#5#E-#$G2q@UHNK{lhRr+nmSwa{$tgnx0Q+
z5MowfqKVb>cwGP*13`}{MatT1EzzDEHAsAEthw~NsS~uGXU9KVE4ZQF3EjBcp8qQZ
zI_&AQ21u4UY0Te1$p>ik4+%*GAayZ_b<^*Jz<<$656yS^KKoZ2H24xi^|Bs_Tp9?o
zAW`#s_q&2{>6a{`=bNtOv%s+jyUx%1!}-K&Q}-1ir*^unQnLnA`i~I|rX=InwjgDe
z$%@b{off{4^8rQHKa2W#K<}T|H8U>_SXZ>4%5Um1($n`{&+jf7Jd0CMFWn%Iqgf@c
zYHOZA-|s}GginWY6lVH{QGBcDcmy5Y>`z_OM+{s<qAR||P$c`^>Mf(y`RbI^tSm{A
z(zC40B4W8ojg9d#S^c{L&Lb7c%1`*QGftkIBc{-#n7n#lErz<yk@O0ls(i*#&uVg&
zWHwo;>`(gk$jc9ppC{ZRnEGR2$g}KHafz{T1E!X{kP`a-mYNo2nd109#W;W#20-@!
z3m+7RfBL0Z1{dNq9w&d#ZvH)l{W1M7M@>fm{t!WPQ8&{EJ{kFko;LX_l|OVI&J18D
z7E7gYddL2nZ@caI#`p7-KGT3r$LHlD9O!?7_?Di`T7M}!z8wi-Z|>;@@X<GsFbyy*
zpYUk<giGQhUVwO24?GyYlvJvJ0|U>71bL1}b0qWDzyC(V+m?2B=w_F^eq{|2?{dbc
zO4##`|9|Zg9<Ofv{{8!FM8w*wM|UEc>0S%bLK6^Z10essm1``}f_(E&-_w7$t3tgE
z$z%w;6joO|A8*g{YL;@AHPHnJ#pLGZ#zTQIj4bgZCA`F-Pv0}*rpb~Uk~9Cad<%};
z>F<`N9OeVTk??tur$2o|k(``dN>VZbddY(H)8JPGGkp)6mES??7aJyy50f?>$`+iw
z&bNXP1_BSoqrF|Ss}sLd|8CaYoDRLbyu5z*^DGvW&YqK>GHF+zqH%qJ=cEr3<M4D>
z>DgGuZ#5Tjhz*yTC^FU2+L}XQKj1kgi}a;@qPXFcjQ3N&q_&Ko7*#HI_KcE>8$Uxl
zBh2sa7fJlqOV|x+CO+b`W6&pWA})Dg-o|hHU3Z+al2X*YC~J#Z|9i-XBDX!$l>Uv(
zea3I!WkS@z7z%5@90un6DpXVkn_4vXvdvYn1`wEuUOj&*RurH=xIjm{-xLP3rQg2I
z0N{TFlKmd27#vcOe^N{<^&5R|u0GbQ$s_nm$BNxxjJcy$(DHHU%2H6_z4ri*$V3Iy
z0(Rz44<O7Dzg*-}BJdOvzor%4oLpQ6zf$ZW^RwGbq$TJj)j)!{J&%Ix3ws5Q0!KcB
zjKg+S3I_)V&<Zt6V>j7gsYF7!a5Cu5Q}DGSleCVeupRHm=~bR?eDd9<#8nr$8j(2n
zC;e+H-jE`pQ}3v>-*TO_9p>cZ<RP`&n#w&xfPx@kexQ%oUjxBRLvr}r>A+GX)a9+7
zRKQ%~Kih8X7G8sG+4PBfWhktGP@!YQCQIe+Zi(DAr1xC}H@Tvf^}(VVv|xZFRGd>-
z=;K?44_6VG3+V6)9q%%@u!jc+@9;VFz7o3?EAQ^W%!vPQ+2L(#2+4k4{Za@Cxs}=C
z)P86yx(}=cLt*CCN>>IWsHgtm$;8=~&j_};|Iin<Mq$k}W7GqJo*gcP{e`<QLw=dN
zI+Fu5idV8puz}IYyFn{H1Um|bTedPU5jMS{J>w5<7RI4<ihmC`*DX+WG@hQS>Rw<7
z9bGMMXFLZWrU*g>C^Sw4Dv(@HKiE#Gz+TmfzeihJCC~G%<@#YW4=ri?24e#4vFI5Y
z<?5G3sxlvchgpnnt7k}ZWv^_|ZFEdw^DbtbtJ<n1x0+>#_7-KW{2%svsck@K5mi({
z63+r62{IllJ)Nag?6ZI*q&;gk3Y*F+XKtpr9s~pjMZu6|G9+*C#iy2u<4(FpQ}gKP
zGhG6-OI}=D%rsLke?JRz)a~qe=l6rWCOP+$3WuPl|F*qtIU!XH4X4dg=-`-CS*fC}
zw&N{(dbmkAo*G$cL}meB>@!LH7EnSGp4yxHOJqh@5MUtBRd5G9cDb79m=W$%4>E`b
zq2Yr*<cq|EC?tl<5&f*87mz8N{5btvVSfoVxb0<;ruV(8j}a@J6WNSp@KNLxQm9Dl
zZUxt;HDMPi0fmzZa$}B+o%E`nGc~k}7b_@;A%ch2qykf5s8M$LKg&vmg0f)|SWnfD
z{%=7(!ZMtErOLK{mKbC<=oT+KXRj`CB=_=n(B!50-^<JNj%XfwYh$0sVdkbT-EkH+
z*{uA0P1fn&^psbI*kc9rVbSXs8RA5?($Tf$l<Jms>r!()O<QBoYmlAZpuY#3hy4L!
z8`zbSlIl9YQ$YDMj){gEacfEhy@InFp9-`Bi_sS*vSv;yCML>n{EvOd^n<<s)pJj~
ztFLi<{~LN!a&mHdI<2NLu3{Q=jg<bdYFR!;IXgtqBj)gamF#LxWTRcXN%mG%bv!F)
zryJ4Gp^ahc8uBLpj+zjL&%1k9A4}L<cmzJ{z(QClS)<ZxUEP$gHcO_r$th2s5cY_<
z`mR!4U5XevJ~OT66AcXwq#N&LNi~PIfz!E|ve()YOqm$t!B~5vpl<N!-Z$i{kv_S;
zP`uTjTa})ko|R<`*M}N;E0$d`ln?LBfnyaD-9Z-x+uiLT8^ETn>XrX9*JQ{#-ZQvF
zx_UMNN*0{$QnUY_+SP)e<C$-I`)}dFXx%2FN?`y0_Y1UCzCmA_tmKM{Q5&(ZiN*CG
z(7Jxzm)GjB!-~2{+5N?puZig`1W@Sp^>vZH-wsdSq@=L<8B8<n$2fGOJeI$jEVoHk
z1~Ph}2Wp_A2zteJL-6G*rn+2|!Jrl)g<P$Dyz3sI1ag4_;v_?3KJv`IzT3^kTf`q;
z@);mUGhDeT0XGm;#;cxf^+-sl*b<`8-oiX!)3`~rz_1Nor%`}aP3&nACSH#|@_kao
ztfjhz0!^|6!FdLHoJikTIp;2rP0S4qZ$r!G310Kux+d$P@0pm0*VgCM@2?IpGB9)w
zJzM3$GF0Q><(X`MnM**GU_wL~{m)Ng*#>l=iC<n;7Q^w&K=~VtjEtN-TyXGLIvBGu
z7>7P2Q&!<`Kf&aH`Et(#6jnDWxZlIRn3k62ll5)HpP*MVJL2d1+8T6C81k<S=_H}4
zKbsJ<4EcAzy(p;Hu)k+!l0u_K+<tWJxLcj!;o(N2m`l>Q7&~!B+U??qeXW225!Zlx
zuz2uP@wV|Gf7)ZFV&ivtm6acWI6(hdZClCxKq2@UJ<ioAV4|ov45A*#^V-J18545t
zAA3`eOP&o_jUgo&EP=eRvokK<k}jcmUYhA@whLey`ayGAu{%%gs^O#r#rHvg;e>N+
zZb3osr*zRu$@s3U`Dz;!FAcJsqfYuzIo7Ugn6bJtd<Jr{l~+UMjHd*RFQNI_33$I-
zlT}BcN;Eb%KTN_8$t(KyO~{~ljhiJNDJk;WUINc)3OwcMII{osHCfO{aA(tK^{>nW
zVg?<e`z~+9%2EGkL#cozwG$T^^VR!msNs(h5~_q^3z@+GU9FL@s5Ok=5dY6Rv^2px
zt>xjo|3B+j<2qiCW2S`i|GvWo{Mr9G)*)WxKrh6%{QrTQsJ}##-7((Psuw8*NCuLG
Mn2cziu$Jfl0sJ%bb^rhX

literal 33099
zcmce;bzD{3_6G`xlt@Z<cWk;rx=T`!?uJbY64KpWDk)upbax3zBb^G;CE=T#bI&>V
zci+A5&v)E@_Bw0NIoDWojycA6jPad@t18PpMIl6ifq{7{Co8EA1M^4<1_ss+2@c$e
znh)j%U$9Vh8F843G2%UNjbW}MXQ8A7!w7yrf_Vgs1@q{k3HSp8%K`Jy>lygV5o!$s
z|Hpk87-{eg!@<tMDFERRVCN!-a0@^<1-Q6iV4lQ1`n$)MIQYM>H{&q=xJCpWui`NO
zx`u^`!}|LgDIxBUYj_?$E|`S)f4ffj=lUJ&KhnK}`%9unQtux9bq#Cxzoh$b60@-L
z39z%n!2IWTxZ^}K3=Dj$wT6zXj*_B)siQrsv6-WZIjg6=)58N`gggbnrM<bUF}bI`
zodZ<BQ<(CP76Rb<;Wis3`5#SOZG|aylvK$j99_)Gd05$5*(pU($jQltT+A#4)Fq|=
z)gAnwFr}5NtCIj5n}>%7s|P2mql+aQgrA?Ejh%yygM$UMV1ar$xEg!1I6$fX9OSQY
zB+a3wF4j)2){YM3591n}IJ&tCQ&K)W=<omjC8xd9-w$$t{_Cy4`>}Z%JF!7n+1dVE
zCv#8hf5iJgy&it~pWU3S99<ouR*wJUiGTn6KL;=~{aaQiHy67<ro_yY&D_r1-rT_z
z3i?6*tGuq(7XL%uhhP4D+#jp(=i~^1r4&$dG_$twk~DTT7kN+>76=CmJD0{^$}Pn9
zA8r1b+CO?rxR`^U|KGj;t<AsnewaZ46$=ZfxvPe?y}8Jrx+ui<pZEWF7fEYNYgg;n
z=4St^?>`OxbC4HqCQx(Jhv)v&25i88J^jD^`oBj|aRG8T7~6^bw*mhC@jv_j^X7jy
z`5!az_wWBX#6M#G*GK>RLjSFD0uM{|=Yp91xAp!@hX3B--y|?I6@a>#*qEET{@Zha
zTK%!V#f>f5{_VC9+kb5>^q`ai;Prq`8$aw}5r`1m|Lfkro+-rku)+Ur!~Ze<pLc;d
z5kUc(`j=@EL2-v;;)j6|gOQVbuHgy0pZ$35+4N#)vI7PVJOl}|p!s>Hq-tje9MPl4
zYSlQZ%&0vMYR?p(5vgf(i1mm`3FK32s1vpm#s0ny`S#{A`&;(X-9hiU%f(3e&XVOt
zx@FFb=HI8|qRo3$aFpbKeK2(49#b+k!sEeWV*K@)lM}nh`uXUe8(}=K^U#T(qH=71
zbt8wX*>Ob=^GEvEN30HcAScrOx7_Q0dc_GBd5ghI{`L8wBzB=+ccU^H`FAh>eg1Ec
z{!JEpFzSbIehCKu^fDXYBmG-2i~uX_IAOel`^2+<da24HbtxJRCeR$V|Gv+cODt5%
ztan=L;<laHpR1-CfeSUPhkJ~Y#H8);`|h$*yV4+&$6mngd);B%O^BhL96cOm97O<`
z?-i`uuW4;VrCgCWdy@sA%}`ax(uhHe=dpY;BgyOC_vJ4?30%yX5^-6@WfF_eegF3R
zdM6hnf+k+%_Ncp`%<pzeMO66yY6D$xpWT;Jvs9}WqmvjjOA*Nk<M;Wj;S*futNWWn
z(cibH5Ys-_-7jki3atFUcJnwHw7jIm;Kdb;z80&+3Y`qpm=CKK9V~n*)oWmNbe^Mm
zkHa_e)_&<TrcAer=pC1FS5U)>Z?ntRP^<T)$U)sy7c(?wfYzJUm1MMe<0<bFyW?_8
z+nbvl@1Knvt3n49Bh8k%Z`|jqjHgSr+c#naJ@?M)1aMg4C|BuV4Hkc09=4kgr}*Ce
zaywX<9xs9BSMaX*oB~nVw94j$FPEqcUsYwZTB=mtn%eq(|5)VdVYgV%@~CVl*RL(A
zQAf<dFZAd!o_<F&t!ZUkX!{~}u@ELkfDw|=<q|ZSh_^4QJCWLSEKdYxzb719g>NlL
zI-2k)naEP!ON}yYxRY`I_nR*=G9BB}*F^IIeM;1)=a3Y$1<tdeWBkWG*pAHyJbHC+
z!E#Sf`A_Xm$dHlnyO`BljDDbd15cA9<aM%Fl)GG{lFL-_ney$rW#B-~PS<24J~a2u
z1;K^>^~qK@<%^$#$6$es#v#UPw6A`;wY|&|hWBJ@ySrFS57y6<j^4M{+|}dozObXE
zTyYs@X~7RQm}7pXdZAA*kZjx*O8OefTe(kv^)5ip<7zF`(D!-^&%o1owM!NTyr~8<
zyJd{A){>M`CXW(#<)o!7%sz`=eg2d0vz58VYC}1UVDo&$f{F@1Ax~>OALU(n7r4as
zil$K6KR~<BDovwk3-e?53p7lmv<^%e;?8_l+*b(9G8J0CkGj!0zi>G$eb#@Bq0{_{
zl#=~StGCR8gu^T>ivNl1D(tWIpUsDbhH$Bpa9|(iOZu0~>5MX(veH=nq;1=;8J?Tk
z+)6ccZ_r6jVFN;3Q=ag^ath65Y?hQ(oYZH~C$-rx)*pp=olk2|v6=SAJdKr2kc5{c
zH-zI0t!OzJ@=4qhe+$FS_^KnsuMvh{!#+tE&&i|8n*C<vF{LC>QIFp%JF9`{q<l`R
zGv#`x2|-f~2HppsS}I;1LwCjsWN*yoigJAy)_!qpqk*jvtECozs8f7CXBzvMH3S~)
zYbRNMYrWxAHcPq0?z5k?iPE1u-G9tP3x`S+jI+$w@R5774vcNZ?7$=OJVld4T3*(H
z3;C4^HV`mp;Rgw3k6~`sUU__TL)-GXzuuWY8l;Z-2}`|`?Xi4yys<|WTCT<Mpp3{q
zN1cdSFqlcGlf~{QuJGTCW7XztfwgI&%_{Rj!`>`JcbZxS8&9iP6?TW1X+$OpKY)bC
z@7{;nf`_SSU878=S|*khpG&f)0AnMTF4xE9cKQmp2AiXhqE=@=wcc?>#PetsC{(P;
zaUW;r+fuO4q5Ux=m_{A`us>$XIrnr4O>7S5Yw1dr4uY=;3JvF|6GcvH)u(BI{ox5<
zYrn;sj(5Kp;grvNiMof>)cvc(A06Io{2GRToRL;3qesiq%i!Yj?L^?!_p0vK=ijHn
z?!R32MnC-4dbu3=xQ_xw$Cnv1teuc;JDPX->T<<T^lCNmLV>unw+21SCu;Fz&55PL
zgdK-fA7Ah=QAGq2{;}HYbUTYkA_EA^Irr+@VuPa!*}UHSDx@$mE9A6RIB`mY7+Vb<
z`*(uklX#7k2;IiN;H6+nw-z1SpO#!?aNBZt%ozys-tA80Ifu6%_Yw6}>Qui?mM_<9
zpdD!(o-Wa(iaRRN9LVB_(g#I3ww~j{T6`0}-b~zwlY+ZncAZk9rMWrK{HSg|Q>L4*
z+vq|Qzw+jiWDQtj<J~Xs_1ASYDIu)ko6qbMhkv)9p}pDkYb{X&3i=c-i!x$EG&-un
zEMEGP=~9)kL^u}BJ_N;EN$j2<HKao%O%Pb%r)9rhF&TWa!NGL<{*^(uhI%SuIEf)p
zVl2)4B51JkC4+MdiN})jMX&|FrBVhL1lj6*y*D!5G!$XUwz4&>OuI6tu_pqB6*4o}
z6!G$t4W>0br}mqB@6`arNf{CClJCH|O_FzXyPR&1rny>go>MBs*nR~=WXf?HRB5Io
z1E;7E)>||HoDpz9V?{$JrQ5*C&>$=GSwul#hQyy1UK;q_okOk@3_sENf^m;dk0J4P
z-$UM8ba`&`;UbjA`0HvozJf!_5n4XDDl=%!SW~tW@vim_xtuda|1~g9sF@0u%N-+5
zdNjs2N|niM{PDbQ6eGfC{I@A=ubN!9N79LdIy#sHooaeM8Fjub^Ig@4SGF~_ItN?G
znB);dJoN6@`J4fAC2i2aV0a+H)0%oGQ*787y{h831fKiXUL%nHI_s%I*S*R8xh^w7
zTg$k5`$gq+j^F_0TWEL4Q`2wW{$a%#BJy(rQW3zni=o0=f5j*N^_>Z}646!D7Ypvp
zHKEkNu!hWH`h(OH+KO~S-7gWTXbO?B^Ld-$bUEY+Yufte$dxZYygc1eL>1wo?M}aj
zDhAdfXoeeqdt_b4jXg4%Cvd?;IZ0ShAUz|e6O4$3R38gxUBieIK##RL9huqzLz61~
zsT;jTaKCF)R%fT-myK}0hDDu<q8Wah%Oz)Q^t@>>3XVxfwQM}4Vn_#nzYkJbMUZxO
zSad1+C22vmEwVkYZko9`j!v8w>M?Ud$7**s-j!Y2my3ApRe377MhTeKo+EKSlJCfF
z7VfrR**#?H@97_AyS4`BZT?}I!+AWXvOEnOEOs2QYl!<VTboR^Nqv2$Zuv#&OVR$p
zMMp6J_Z-fZnEl(WKyd5-=T>4AqKs-Jz_GrkuJSsyP(I9tm?9v4V$uH`H$|sirgID&
ze1%>^jD%Z*!?z)aoBc+^I;)8U8if=VJ@;|pOJEY$+irdi&r=|hxT*qlgvP%ar&_Nl
z9{zyuR^Z=G7YmSe9p2Z^7S$r|b9E7nwTb-Nh!y3-@#qRdHhgnF4Q!NQyYCx2j;Pv4
zXnZgdPod>L*C*yfNepTqB-grvl}>r>7kboMO0_F#4*|Ms^E@^gv(FUvzBt>Pg1}~S
zSx*9!?S8P}w)=(R=yblz3r~)b3~5&kj*MKelG3AzN{CSNBJ1>K>Mm*ClIim}{VrB*
zVXRY2>#y&nz#7fq8TvSH#><ep&lv;xZ5HYnel{rLLoa?NF}!HIJsBSVedqf9>s}AG
ziV!eb)kuFpHF8b3MpLnTdD^%$-4zmwuf;VxaE;TyOSx?Ag2^df>wDmyO#r9&>ugG;
z{bIqkDBFEOjxPIafkG<WW1)1uVfuq+06n)e9b-s^f0fma2^_YZIxToDi830%-&4h%
zBS_Z07Km)7sspm?$F;{ZSK++v*-`iw|1%HZK5u~IfWK_t{SY|@z?pi1{B@TdF9Lav
z-~Dw_&g&8Y3&D2&vD8>AdR~&EPaD^ZAo;ABo2i*<^Uv{;WEWAMzdfz~8Fqn*y@BwQ
zkPE=Y9~I3%qd3QoFy~k`qlx)XVg!F0`7W0?ESDr>H@};}Yd|(DfL-IE{yj8Y^HVGj
zjhHXatJ`>{I0v=)%44{g7Wh~`IFFS#9+9{#3k{B<_6v0|(fpeqE^__u(;s64Z{-bu
z(+0I>&_lowl<hxJ97^WvIlx_V3w^#Uhk1SnA3k!~ls7F?mLhtyU;F#lk4k{pT5P6E
z+NOqT#oeWhM}QVKsR$iQ=7hUGhvy)VGe>)mDjP&;>+UL3#|6fD|M{FI2+2&@pG7K0
z_+k!tMQ;!Qyyw`qB1|E+HJYD_DX2_u(4hGvVwr`XsWgn0E?0doZpF<guu`G6m3#Ut
zMOMqV&PR0cWkTyL<yRTHEGO}3LT-Su+So7q_;<3p(HO>sP8HLFlkC)}<4Dln(<i9V
zLvdaE0lXaV%c7VqMjd#@s4-xralM1J91-y>APf^<$dkR$azGPZF%+Fl1iGyl5=hmj
zy$%fJCRV_rLvu9m_>rxKJJyw7bOdI(iYok-o0-nJ0$Xbjt|4)Ml7c9gjD0Y&*=i!i
z+Q<#P1Z<X>VT~DbA91N}HZ_{i=;mM|!L#j=@D7@I7)lHYF+y&(^9X74a2%!?)3B}c
z<UF|1RcQm{F5+=azKO|VR20Xh&k%(^J$|c%+VGPmObH@Khs(O&X0Rh3CLZAM>*Bl^
zMiBQbY?+x$JN%3l`4#5Dj3)jW%x7&)^o0Gh9|n40Et)+JcX^&C^kat=lhzZuOlxX8
z4-K+3EOo&$P8Q?hVzUz_M~CWc?@8vFRIIIZl|(YoVHpzqTs7)OVj1Km<YwL|KYJZZ
zD$MsxsI4|ppCeqmLSHvuHvTGV&=lX%Vs>iN8cpQNh}M}-W#jfcz(*&`-iQ1uxk5CD
za`;eeI%Tt&Bn=fIrZh1G5!JUi9+*3->1NE;n*-Nr%*44J6)ResAS$V{U*!2wdI}Tl
zH1@IkEPoR-K?oucEZCplS>$%Tl?rW}0Z1raNPD0%$7P5iiyG5~f{L0nq5!<%NR&nU
z)YXmqe2w`C{7DnPonCebsk<7ZuTpwhj<kZ&$a{zpO*G*OTZ*()FHjRkk>@<U4><Go
z9p%>#zqxGieR7t_K%hXe?+cV4-z!1CM%^Wf(5t)>?a>w8yaa`p2~Xx4Qr@O@mf@S9
zjXTQ1=NjI>xO(bqIMW7nvu3m(pHRZk=-98cwOWj3+`id;AKKAoH9_h9TADH3jPflG
zziA(;qS(Xhd2k?33o4EiNsX{z=3+W_e*O4DNvJfPU46FV)i8{$&k$0tk@3-^sJISe
zT(@6mdrPge`q0r~wsus_F}+#^L6e>^G!g-`4>tP+G{_s{NAFXp;f|V_0DMS*A7uMv
zzvw=a1{s{%WrY7yjM}mt33o^E?N}=&*J8HFXAwUKULlortAPyVH}Nm}%EYh)!>(h!
z*4J*Np1YVLLV;c`Q`mgkzIW%^CZ48(cV|=K6b0X=+z&p@nmj(S(g*O&7w*;xhe<1+
zxanvm;r=FYDw*yMZ2zTNOO>4Fq;4YiagEpU0YW9)XU7VxjX@qJ9PCWRAZShM?v(G7
z=+=;zm(HIx^dp(2N;WxP@!HA0V4OsILDF4jZ8@GDrTR8`dKuWo>W1?3WEg4E?71Qp
zGH>c`6u$0-I%|p9(>CQx$W9VWLnox4SVI1`*)xg3r}OROxiH`XeJc%GJt@|3R$jJ*
z7X^*>c#Y>_$WyU-(3&SC5bc2&`#rIPLQMCE%|_^sat2p;W++jJUJM?xB;^xy>jdW=
zj6&i%>YoBR^TeA{sKMw296|8=o`c_H`Qts^wk=)u3Q{TSMbfcX>(`W55q6hb1!d0K
zPR9hb(ydB>mv8`4Y_-WgZ1Y>nobq~hluLlT`=W_XM|c?2T<IYqj}TDFEr2&&`cALu
zuphK=KEza+56$GZwIH)wdm4lvvA$f0v24eHap!e&&;S+1?!Hr01pc9si5^y)i~}F`
zbMBxlpF!tI-s-F*zeFgSIaeG7oiBF^(XyGxy*A-A1rtKv0pYZ91rp6hcn8UFBBeOT
zDbdPDwQf_R6C0evT+VfxmYx>+n2;U^iPX;Qq&dqd0}uu|-kLAsn~-|0!kX4q=fqqK
zXqi?IvRkxYtv}Jg4+dY6b8ltH-f+cAGd+bB63F-3h~}jy%X{i)kj$uw#J;Lo{*v2H
z$#igSlMVtQ){)zE?kDM&+oYz&yP#ASaWNL*bP8ebBj);qUwyzWfNq&E>%}r3kEPWo
zYMC+h$yU4B?<dG$?7*IOJz<->gSM2_USsgWj1w`J$dGz%)(o@esiad#I&$bostpuM
zW_=7!9~+h4IY~~1Z}yA9&w<=>k2wuxaogfrPM`LOW65`j_8WFxz4yvq#og)*IbSJO
zqxvbwxP|4_es`f~Qk>x(t{2vmmZ_m6kL85yL4reYm^UcplO}r0>iVd8`gt0Mbm=OE
z#1jaVyl@kwiXb`eQE$6~x?I+EFu54pA5WgXJqB@sbAxI6`?e@7p1jQ^Z$<priHbha
zP~~lsv|OFv_jfFiku!v6+=QfeifVK36obTGeqYxN{f?2TP34QWy<?3$GCbLfXQ-$K
zK}pGdv=v3f8<Uw!M*eoKj~3VuZmrg_N4Fz+KNMY-6}8m`%(mFmnJ63ekP@IbQp2K_
zTs9P&G3$tr0|ZvR>UVOyO<EsN68=}uVJ~xLy?SOD=^A{*ySEJPQ%bz?2<=EE5e7Rl
z3f>Ay^qq#c_9H39nx!)!q8QXBEf$JWlQ<Uh{Nlbh8GIE(BKRTJvn?Uvl>YjtMqDVg
z`F*eFyOaB&8_IDz0|E$vT;C1lo|h#H2+!2hOEyYX6;<Iq_19!KAbsQbiNkH!Z0MX0
z_)Sq@ieq?rCXaAl#I`ect|6?lkqYL>wQyE7X0+m%t&vi}J~H?${JDn{IWfirxz-xP
z?{dMG4cp=;J7EuB$+4f4Xkw~DZv@Up8;3O#(W`E4ktK~=nmjrEcVe)#?7b?vzj*CG
z->-6^q>8DfgfzpA_DQqzxvIJ9+$z7U{e6G4i1W;NSr1L<NQ`*IYzMa&I-&r_dD<6C
zHtq;Ni^oHj>NyCJpgdkkE`4)zA-wAU$g?OqmnrH_`=dI|KIg^R`ZGSPjl{gBp=2hI
zzOYwwe&u&ENT(lh-NU5gE8=<Mnb~DM%0ys8OfhKg%MF=7*MwK6@sHua#!(-|mwlb5
zCIMN_kiOA<^qh6M@5+`mzyg<q2OF||-Jh5S;eaN~WXlo1!1E=1mL9$t%(h)}K0S#k
zB&e3ncUqR-?!8})IOr*p@AG{tFk$^JnVG!rzI&zz&!(pqMS~m_p3jirHxn9*P+69A
zZ*7mmNU!XGIJ~~=ZI_p22VeI|_ot4)pd!4Or?)ov>Ol;hiW5|VdAUMxau>kh9OXwb
zeDT@p>@$NQ?rzaoa_WA{>}qs?FHIWD%Yilc1tFGIs4Xew$UM-+GtD{lbi3mnQ9uw*
zFe8@!_9&x<x|9a~GrYs-B{v=Mr8qS0U;Rw<V}!hH==9Y;D%*1=RH9fAxYG9rhL7Hd
zlG<FQHDGoje_|4aWqnV#VO%5kG`?8hV&-=#Lj&iO{|)h$wTtugWT}>W-uDe0X5=f~
z>OQhuvP#XU)|a}^Fal7K-(@=undyY(&i|e&{wcu7$?(*BfY5P^Arh-vzSgjY(o1QR
zKce|<5yxtn%tjg}JuN$dBQaaq)$a+97WoW(CP540doNCDe@fF4xa=^_ae1*0LPzer
zhMprGDMyZjN3kTzm<UL5Pi_4Jqma_%&OEo%db`A69wBPj4;l0MKNmL0KG-6vK7fpM
zr*FC$D7fdl2IB}1^l(dm#82hbacXy7Ok*D>+ULivrySM(3CS^_%{pSsL3c2Ph6ix&
zOJUO{FqSc+Ql~EtMpVOXzCN3fVL*&bBpQ!Ew}cTz8TaP0;OmXd(m)-}`}o=Z^YN8a
z;wp;;3a#-}O3+66F-k-#>~>##wjl1Sp<*~K5>^3}=MpDWCfhLWa0b?j)sThhU3Dn(
ztI!Kh<9ipP#BWQjQETdayqp53AXYK?0C(7AWr`5>dChr09&=j$wSk)z+!QjtW3+Zv
zQh3ASt(fO*ms<a8Bo|##iBfku*piv2d+^V!iECWaMvM!5X*m<1qU_t-maW#a=GGc`
z+vCP7tHB%&jQ3cyv`+`CLca*oQi*D0{nnzmP|(Uxr;DLvS5{k359mBh$G<;ml14?q
zbxbrX5|b7$Z-M{vq9;#2ZA9{QB5mPsW^XhW(~}Q}s$%q17GDyByBMzLEpxXRrKt@+
zW}}~G)!WU#9hD(W!rLZqLbXk<RAl0jI!=9E?o<+>cvARMn{aQUeWXf`%JhVp{s-6D
zC#JHhZ_ca7@HIatH$VLHNp8#(LejNQTyj6tEeV=lv*Ie!rEV!1(BNj=M)UZ5zGj|~
zOKMn7W+d*-YViD6x$6nt_sAA)edos{0aCr%T=*OB75UaGzvV<uR9r7Ww^N7j!YO2{
z=_O9J6s5{M*@qIFq9_I!q{E(5TaVl};y+ek)pCqO2t@B>-%dk~=IL|J>0^23y8&Wa
z;FUuMCwG}EYw-sg=}d3g3}!RkudOuldtsDTa^5*;Jz{U_`M{{9aqKRI>K9HOvVs$D
zJ-owCbsFtCw1B<wL2UTwwT;vV$uBQvw3)<mb;r;Vded%y+&&NU?Gfmaln8vMbVQqB
zq89(v!9YR@HL(Dnt%^~Kz1fbQ>W6v>ES(oY6&1nZkk*<`bqiF_kQ4Qb`cTo}g-e>D
zEKAR6CwUu)C-=2EQ8}Fv69uNl<EW>ZwSFm{ybSgvVHZCs?ISvHdqt2E8)P-O`~4Sc
zX0A~4Z$fVA=M<z1SZ}Nb2OYBv>#m1RNSK!4PbMoMgX`@dnoJFHjtAez9do~o5ze8t
z((qpPd>mPKg;vhB>qH7WqrC$g%A3!{C`<C7XkKL3DU%7r(Ka&`*II6bIP=^#zsC9N
zxfu=Hd<>+CB9IM9tS95xZgtu3JsUU6F>618{8kHp0bMP&UckHtvbG)n;P6|e1d5XC
zdQ2>Z$Y_MgL>`gU>Kz?9qxPOE?kDq}x|T3uL@=;Xm0xpc532SXgLX$oI~bq(Orti^
zDq@Goq6KyMjqg?!K)T5_Wz9OY26Urs+ycJk)KY$XTBV}eBJJiWA)hyiho;M~xb3jh
zq@F>;PnbM73S!7zABDU^ez%NcNuHIi%dsG>9GYXYtW$lOrwkjF(!vOwF^wHU>1q7^
z9C|9e*p~8Sr(yhGhesIXa7aiw5UA*>X{j!79W-!dYXS*v`#%r4@EFJ_atOs(G!nE4
zn~GQK`zxUCOjo?hd`#Bz>4=f|Md9@jqv@n7$CGG+Y_m@Rx=L7vRC{tGl-yX*(xVck
zs8;Fa`*h+#O%$`V#U#h%Zg<=3oFn5Jvr$9+_i_teCgh5ib{@Z;?Z_k~-5ajsge9+@
z;bGZ?dkFcRQBy@JbCt|nQnv-|hpnxdZA*C161#rnD&Z<gBpR{Oke=)Ms20ztl~-sv
zp5r<x$DBXJ%XXugz_DV+pXsm1xKdx+^md1gmP%oqeYonoA}*bmSEiXrM7nS{ml+4)
zZ{kC;&p2Lf9CU;pBvO#uV*vU%^?IL;K_6!(v!7;t9zub+U|x;yF2my?G@mAdP5HgK
zl}q&mM@>-0`GrvzAwhW|F)H`PsRTZ!dA|Xbp#Q4AB>u)uw{+*{e5aWJ4s9&!bS|SI
zmHSlYL2T;A47p|M-a=<&iRf&SId{w(L0a#qI7K_l_`F0zD@A_NH&W<Tl6W7>PRe<W
zm}vVS?LRrlZzms&)QYJcD!oQ?EC~Ww+Q3?4RS>{0U4vEvBcGPd5yFTdX{8<h2B$Ug
zKK1O?kS7dsht$q!h2dVPJ5v64r?P|n4%5fnm1kNl6Cyt5VI*uM+YidvDDBR97$nkF
zZ1T#<;DT6tbVR&fzRxjqJc>UuEwDwJu5L#sAtc-a_oM2Q5W*1IE<&#cqi>M)YR1R8
zJlMI&rsKNY>Q4mQ)3${`VRJ5i4oXW9UuKoZzio5UuB@}ADNgHk%E)=(sc7&Or5T@N
zCp%q5i~m^M<P@S*uAD7^YNR`Oi>@ljQ57#A^^~v@a+k^?#C;NIl0O|T1aiodw&IzI
z%#DeC*Gf2*Y6JmpHEo)N$%}&&mZ5{<o_@4RLRf@uJ28bHeRWX$^Ty>^eJS$mE^u8E
zXl5t(^%K`uy9-U0%+loZ%_})-p@o4yziEus4jxh?yH(c?2pjv}<!kEo9@x^EnpdE5
zW?au@N+;T<2PryAcTVPR*CJ%{-wKUWOkD4-6AyVoP;BmP$rDMTq!{g4dmUee$o3-5
zxn37ehnu6t>fo~l?s0Xu7Kq~&-B33O$+ZsT;P!2UX_98?1~rFzW=5Fu!c`K!4W+S1
zcP}?A1iu<vml?5IO7ux98Cb<s7Gw&*vHJ23Hb<kd!G#(BcJHw=7AJ{i!7-~?D2Kz?
zUEh865~tVb(2=sgRdQB|v^mqN755hvYm)oId^OIAVtivXenG{Q?<8I9kNY?CGnf+3
z;=dH{%|Tm~UXFkDfsMzC9R_8cG{+%g#g5i7bgGq*Q=Y*gwuH4@Dq%gVjM|3NQ7alF
zMxxBxQ`LTj{%-$DeG|$IuZ|7R?v$?Jz7t5|V?_VtSrm5Co<f*2k?>Ih+Zh@r|M!E-
z^{BNR`orvy9b%(^_()8>$)2xaGI8F4udhEI?UV7l<ZH$tV~jtSpdC4?@QO+|#W7Le
zzDXv?OM8wiS|?!K5^lEm#+~UCT}PPN*To15!EMJA@sp+@9y@#=WF_HYj3~JdJ8|}m
z!N@tqeNj7icUe&KEAvtHd8lRg7k?oc@gwic6Aq0>d6JN0Vk&E4$>E0eDN~hQY5|%3
zEk(2qVuAtww*mBs%VnQhy069i%2|%mOwU1GDo6j?#eJCsS2Gm$MNN0lPud&p_aWMO
zg{I?;Ph<;d=sN7s>-iul#Ia_~jb|;)QC}ctgVz@O<2|HI8bkS9Ja0`<NPc4TWGsNh
zCBbEnW=E1BZAGs_u<lI09Cj4{SnCxiz*aA=PZ{+=UPerXH67&|Gngnkk*ff^aa6!s
z|K4&nd9;At)&#|D2M+fR;t<9iLeYg}stC7Z811zw)S8UdfZHbhqqG?o_4$5ROPO%<
zpj9xzNj=v`$oYs%BK6y9$w+hrVVUIB<qc&c3}S^+P_&A&qFWjgm9vJVR;{Jo510_*
zBD?`0Z|PN31;^+xF#<-Sj-eE}6C5%(BdvJJ+pW*iN;uj)1?ZL1TO!Kmfg~Nn4c+>D
zF0zO0&J{EpxZ@3j%z+(Wsw;!ob+a}<S$L;0TbO6fSN81p+4-7A^~b|R2J{O-<|5Nn
zErj9ejH{%l%`81US&!GSB;xWn{h!|V?ThwzJ;6$IksWa=nRj7plg6z}I9Z`o$TTPL
z+}r1_K~I6e%RPeaVUM(r7Rq=1yntY=n8I~$k-!`MJ;8EK6%YD>B(a!J5)J$5Vhl3_
za`<@^6C4#zeT(G=e6J&-j-t(ot8|AmUbRTbG-II?fPx{O6$v3pY5SX9xJ5xA;qijd
zT;0Xxy1X>WI%`TxkrmO?T23wxL6DB4PI&96P`+4=WII{9;PS!yGe<8DHYY^0e@r1G
zjs9-c5?d5}*KI^R4#Np&6&s5#5$e@eR{1q3)|0O%P3C2nf);gNmSSSpyJ{1~4!Pwt
zW{9El>otmQmi`Q!A6TYduDUIyBh;&nV=(kG@#=yve#)kQX*Qivj7y7`zxiU|6TL)%
zI;KvZSF9*kXdo1y!cN=4b9r@pg2h1V+*O%gHAL+wZp;y$Uz?WE7ss^CcEhMARlq|1
zCMY>pYD|oOn=m^vHYJzm6Z;(|Hrcc^`Z|)?8L<p`1InAuDB-3uQ0cw0BIs1fv)%Ow
zl`z#Js^x>Z4tYu>Fk4*4wFAG#jF4b3MZB!R7t6m(Bb_HOlBr+ic_;mAf2#NaTBHzL
zca<(D+m#IG-x_h-2wV``TZ{??a&PCC1@$OVw`Wzh-)Dp`%1v&b6x5M*iw#pdRzSvs
zG-<tF?JSk)a`r79Z}lYYXU7%upu~P;J*`Z)8X2)gH%6W;PWO<f<pm8nQ-xmA@ICl5
zLi@`KGpeYftrwp?2)UKKV?16j52p_WYNl%YIVBHr@$Gz{DbLi-AdVg1gk;Gr>v!iM
zmnxq8>f^@}U$FKpfgIpS(L@bLciLKiRs6-2n8}#fl0HD(+w#YoAiy5V^K^N>@+DLn
z<Bg2xA3ddDpGd>$7kZsiOH&qp+NOit)q+6)MZTt2f8Y->!?lp^l&VcM<bx9NI|jgb
zGNOws^c#ED*>?vbbo1~fkgfp9T?O0#PDtF|k>ad5HVRMMWZMh(nd3FZCC2p4=v3-v
zQx4-~IfIpAX>nP>X!<tT#jQ*FkslB}X#mnfdH;}cPmbuD{+}`;{$ClXyvM$F8pG`C
z50T=Q`I|OzMQ+bobTzY(p4jUIVVRxak5M}YVKh?O(3Wuw{)jkIMhOp!y9kj~GhNua
z<YJD_AYE2;C;{OKoxLlR|BpE)Zef~7+HkwJ=Hg#rmbSp#=PxZB5Y}KG3`8*#XHIN+
z{)xBvHRm5PFAyP99B_Roh8&#SVBmhxps;*s@NtOX{OnI@pZ;HIN3WsRDHZSr*sB;S
zJ4LU&SQOKSL$S)bnBSXW!(t+(z&J|U4RtH0cSc}_FBGUrEGpIPh%a(qBh9pULF+fh
z>Ec-r>xq(#Xs{mGS#d%BTsByIfPuh34Xij;4nWCAXHqr^PWV6U8@|!vy>hWR3cxB$
zpqtVJ^&?`sj_b3A<=3TLHYbbz_I>ZEqcgJ9Rkcs6cR-OUh-zUil!s4Ijzb=;WOQEb
zkiasl6Ekc7h}U8SfA8Iu$U}+b5sgkSooW=)m5R}7M*vzfb-xQcU7xXu_1BSRES8D3
zH{M(bnf7vdeW!I?j76y~Glo8Jz3|FnKPcYr!_~1f3SuKm#}E&u7bViEY^TL54h^=o
zjHH{Y`d<#9MmLV!3?SCWV@!@wL~zFZHKWbqilE}MZ}k<I<>fmy5<+N&tBklYSR#!b
zw`*jgWaIpJ{uka|tdg6gjP7fXkVAv;b6}M9KatfDB0cpk$Rd8dU|j^NRi;_EHnEqY
z#0etu%SW<E){f%OxC>wTl68qEF>W4VNTj+PIhUMxXZQlr4M@)YJX-5EMXNZkP(N(y
zZccdmv~u|JZDTxt?y(jdqgJ{x6^8f$r|Yijh1T>tpE(DdK|uM#kb(n589c(|cC}{)
z9D>y3zq2G%bEuz$>lJ{K_>bAjol3fB#nLaW7YmWK((GISkiP;|(Yhfgx)-v)=)FuS
zDe_y9)qEb+4<AbCgsBG;lbRTNOZ4&giy=Z?@Ht;Kx)g}A3j86^C<}P~kIQq)lSJuT
zxzH}g;i({{8zDden(^7xb7-U)-YfNbP?A*|*d-UC!;b;&E)!mI0;@G!xld{yiLYyc
z5-|K&6`)ce4t8l>0$AS;Dj(RLPiRVo0k6uj`KK*A^_!%YQLrG(L4R&b3TDZV;%MmA
zs;v}yWBlDyym;9j-_~9YBE-*b6}>hUlyfvo@f$-fWmdsvJUE?HU@O<HMOX**>`k^O
zR1R&|+sudl7`(B;926<aA3za%Q=-FV45XtY@`bKIjdslEWVgl=UTC`bWZY}U5e)?m
z%$#C6he8VTv8B3Hn}*FyStEe(TA`qnVFwcT*MMx9zR2r)dj+^rJDIbQ@DzJ_n@S3r
z0|u?Ho$Dr^u(ias=v25kDrWIbxc#<zw&H(kzU2T%A)jpN85X?rlwgM#8ehGcM%rr9
zi()Zx9Ma<OO#s2HMeAzWE!2Z1Q;#+JMB)ReTq<Z<n;E|@3y3SLutZ#a`~+9ub1ir-
z6@ZC1r=z@}7QF|Oj<p<2PZ|+tshfzharEy>bm1jC(BXDf#tO{wet=qv+6t(!k40^Y
z2cuvf%AE7Rkdfso*>B8h+&FQt@?55UVD6=JT0W2+TVy_jfNaX-C)?TU(;Zth$K}@4
z2^^k0>Gn&&1TyK3$QE!jIUwr2yFDEz5p)*<JS0R^{EpI=kE@`*Xgym&GWhype{fjX
zb}NQ|I}Pv@LrXyg$$qME6jXh(;^~K&foAXoFjcm=0Dj4vUuV@QKNlO=EZxt4%#KH>
zbx6T=+Gxx}S>4SwB2i+65uY!)git+#pM$EI6Jj<(diho^-UXt)2BrN%<?JDZF{BvH
zXoxT%XsL)?_tcpJQXp~t#JlH#vj*PLm`+i47Mi(kGrA8Yu_yx0k=lS4{*;qe;S3LC
z*BlHatvuY5d?iLMb$D^}aotU`ab0?$r%px%^Ut<HWw@JvD8vu&e@vAiQw}y?izh&7
zz=n+5MgwRL@Y8)?gjkyZw*cY<-A=b`1BH)=0tC?O>hCDH%)1}681)~VRhJ66STy5r
z{VPZGaT?Te;r_3$#))!IaWpCozOmDT^!wtyQW|>z4Ff(@a;8*!Tt7q5gH@X768VC-
zk2t<mtDJIV(sX@X^tTU!rIP#|4xsV|=+k1nlTH>+9p+v3vqvuyw%i{7=-on#v7v3+
z;tdE_7HY!v86R8q8(jc%(VP-37w|(>GPsa4V--enO_P^6$A!8XaVxhpt{-+PhA$lK
z!=$gZ3k#*PXI*6V=?NcRN#a!1z+y*J38Zn^7f!`TU<NU~DD(lfrmIbSw}Y8-qRSDm
zie0bG)*D|R_u|=h+EHdj0B15_4d?qX8vmQp^uFPo;ZK?Vq$+b}>ySK0P*DMe$*jAq
z<8I?c<8BhSuWHOmwkvJIGT~J&Z}(iwyv_B}^&DH1<F!&;qe%o)qTgYse3X44(+q&k
zGf}*t!Z)xOMQ4uRLWoH01moT3GNcv9y#C$dnp)5*%ejxhS=%QXNsf%hvG#{Jhj7db
zffCJ9=|QdOeTyz}ZCtsk=~|q019C9*R4IK^V-S6G+s2o!_WNH<r#GC@B?r3VS0Veq
z4}t>y4qGoRLPD~mn2akI*QKuStu)FV-L?=S-6<%(ioi_YHo_b-&Pb%uV7e208S?@3
zv`DdHB#jb{@bZCj<h}O^EVDuHsdi)ZZQTqG&SmmwN!<q(XnQSb0-P408KSAlyqSbF
zaLbr{XI~`ze(lj64rvdLA%DSi4Lv=RPv?i7-RI|_5<cp9be-9#$k=HK_>4XX72hBD
zo4e|?;#CYrZ4AjBlwV3TnRu3}+ZZv(VFlj)L{jx9E?eOC{`n!2)r17m4~k*(HFJdc
zV_epX4PCgO^3C{s0DYDqd|GFBg0b~i4ewh(*L(w(^u=hwnE}Q-s$DcTd98FWOsD>w
z?kL-(&&OeyR98%itZXyyqf`A@>t0cHx+KE9tdmOwdAhNkj;diLB<s2+<L;0w!;=|3
z$AWlmU43fy*JrzLF26MZ;xTK=#}6kot8axbHxpGjxH@tkYxEg*^=#@@V+DnZ@g4A&
zha!!WP|Dp>`{UjLS1=D3Cy!ivu<}Ahc&i8|zTyX{=QV>04b`_GW{e!xUBFGi<)VJ6
zH1IX2`}M~81U|HIE6A&nTI40Ui|zuL+n4C^!<S}b^&~$I00}#MqPX?-`J|*kXhRPm
z6UTfvN|g-VOCE89Ll?beC+g2~U$Cx7ErUzMei+boLpZ@$tCX;-FTd90*+8V2Eb7O&
zFiZ&s)YF|bEu<{`PVp-@06!>_7#n3leO5My9I-OP8oH|zqFcUA6dfUF*-Ian1=Ihf
znu3Qem0G2+)Bqz*$jb!~&wsXF8nB^UmXFZe(3y?x>IOqXE5fz8dN9T{S9WFUD3!%_
zxJEjH(aVJ!fW<aitKwyN^Q;V2*~Ze93Y9kjTTO|uLj>r<*wl`!yesY0HlHU|Ve4cu
zL@dG29GAorWurKg(^B~)sp&gwz<jM`;2p@2N1u)G<046G<P|!O&lipMu3)#A*igO_
zN=d`Nph^?<^Ht3MZCJhIgnDJ@ctY6C?iXXa4g8o($ePW!Cbv9p($G4<u0(#+bTr^U
zR#!OMs{mLL<J58^jR2^C`Zg(a1Of=<N(p97o0PCZ(1)_`SR-I}_xGASVn8`~CKa7g
zD2yj+&q^wQ5;m)(lpjfF+WWOs`w&oss@f26;`~_IPJ|5i@>(iF=yG;&pA2<Tsk9}K
zmtSyHy@<%=v23^Lnk+t6Oz3f1KLSaTIY2TTEl?02ELRvwx1F!q0<095UL5Vunil?B
z@3JXBsyUD39~-|$9HLo?$~Ru+e#kY#kkJ(-AuQj5(*q~CM4#~?aHwP=S(hzovbpV(
zf@ksL$%SepGCz!x#<K-^qg(DRjh~ePHYIRd=k4E}W(K&FKt@wgiI97mv}bs-+O!{V
zBu_k*xg8hwM!kltEiWmlF4JVxVN;^9V)@pQmVH~}gxVAj7fhx<0alySXeRG?1TwT^
zvUo2Gaoh|oBf`SjL?lz!6%AXEfjx8b2!C7h**4ZOJ6hGNmM%0Ro-#n)g&o2$JTF$u
zTL$|m)!;S5eS#>&D*6uw*pEuP{7seU^sgMAM@BwE@pE23g0PjXX37ZK5)~IRmAod3
ztzc@O%e5UONRQ&F`M@P18#Do(BJsOD1`yNK7f#e>#;C8zm4-HmiZqR?Me_X=hvO;;
z#l2jdv+(G|s;r&1hLYzqdd8>ASnFw!qh)QrYLqJ{p>evu7&4!+EJ&j9z&f?_{<T*W
zXwT+*0th@DIt1&set`C&EONbh<+)-qcNV#PT;4Row5~f{Y1lq8d|U@l9fhl@Vy*g_
zt7JB){KT33oA1p*wxCCaR{6_nlimcOVK)Y3*nK0Ix5t2^b~H+7=|%}lb_*>O;9|_X
zxG0gpxA0$_EN(8KCS&S29$7<>Wx(5O<X0a}R>zr8y6r?HJF3Aiy9EU094>41Dvq96
z5fDK5Djy%W^?qRkyyN$d)8+;ffI%ndy4&Gfl8(2fhTPK6dG*P-8zFWmR=-+0k7JOJ
zX0Sl*Mc0;}Nvt#vr*)Vkk1DOWz{n3hy)S?8+Jd-jP`Z7p`liWh7xl52mYd9Op%!T!
z5gHvBMzn&50+-)B4E@E#`2=91jV^Ode^dVo-g*gpp-`fk%B-6(8wh~ggWDUqmE~?O
z+Dl*b07&K@aLi<NK1d>~{D_cW15)7iwk>91uNA0etEv-X4#WXY9g}tiYLT=QBiDC;
zmmRIYKHKL<<&b`v{yiRn>L51>p3vZjZABw(M{vjcPdjfH{9@WZ1BT*WDs?OFm;!#M
zB94iJ3xNC~Xe5MK6!Rm<UR67B(e_s2l$xt1@6>c7p0$G~cIN-}M6rnvQs6LzxipS=
zvD(C`m4<8Ev~<x0F<X38l4VU<K#LHqZnyb#xj#im0#ZwkUD_ES)F5;PO~7hz4>mFR
zsNRep_emIjp*o9fW;rS6GC<d<x&?=7IL(Mx-(oE&91O5KuS+7}#t-qrtyKb6okMM%
zRI;=ZQ8q_}m^{2^Yix+L8;42ua$Vz90`~z`PB;z}uoJ4k6Pb2J9J6%fm&S_T&oz7}
z);a?RaB4Saj7=I6AUbkvU+^4o@a_1^L^ejTx|7a_ZD%XamGHlRkp5n9;j!%1-|#w5
zUG4SM_PQS3gDFFWWQguqvt9A{v9{rW0?l=0sDF0%x9xQzGO}*L0{8sLeiIXRDkqDp
zb|?6TgU`+zCkc$jo;)$@eW$hV1GOxkGx$*4rsIwNT!20R3;Fv*9wJeO-AdcHrcDQ<
z#d>?dx}*K1ItvmK*T4fc>G`@RSpa+TZ9A(@n~*zX5**;U0Mw2-st4LE2rF`}r7vU~
zx^6$uIWZP;%|jt#OLv6tge?iNUPfoM3-_O)ZF_y5BOAG0-7o<Kt!FQD=Is>wE^E~k
zONj;D%W}B|KK=k}(bwdXFqzDiwf5AjA*ZGyY}0{)Nvq5V-GkU-|Ld0m1-z71A8<BA
z$B1A?963qCI%!ZJd--W`a1#eJPh_n^-s{=MeI4Ce3nf|{T}`JCRsiybb?Pb3MR+iY
zIriZZ@q42^*{ff4sO9W5>qOeN4^X(cN@LIQ{QU+tU=fNSj>K&va)UgTy&u!JD<&T}
zdQHpogR$!SiBftXa-mADZ}(H)Dv@f(l{UrAu7M*$ILk~`JSO|r3i^T*%h8PBaCYeS
zNRmrI2L5!%-UKR|R;5AqV~mMx&YhMu#VIq->{hYr?zCsagY%)pE(6aINqXcy+0{JQ
zk&~_ARE8HJ+%FW3xl{^)HMqaKT-kLvVKr>a`X<RgpQ1F_s9mI#8A6oI@^QWp$26v8
zjApPiX|g!SU4RHR8n}m6V|&Npu?)ozMmu?>6-^O0Q&}9LT6-()qHH`%lWG2+Hz#-s
z<dfIk(2|EoLGb$F0o39MT`0`)-eSmhOmJ_{b{=cBkh_87F43M}Na^jjE7(=If|y3w
zpPwwKq@8CzMC&=;xbHKU=Rtl2R3@x2y`4S~5%JiiX;%W8wi7s70yD@IfOjmnurB3x
zokBnw{gS@13><^=rsZ@$Wh5@>tE8_i<tL4m>r{Et3-86lDTz%2$j*TDTm149V?U0k
z@p7>0jT3s6U4P_xIlfa=tWk{7P?d@QtDmZ!e3E&exaDZuF%>Ib{Jv8~ipYGkY&nt^
z;M`a8cx-jO0Q<ZS#G|NuIR>li7adg_uzgU6SmBFe)%S3MU1XlC0U!)qzu)xHyMZfJ
zgdYxWvC^o^{lStf%`NN2u%%qTVLx4h(;T+u({<93!<p(tVOmyYf>{tjh4SNIJ(8^t
zdOS#%dsNZY<+M#*b<B+rcZcOZE`csw2bicY$T?8}XIbDLoV;1Sss@C!c0kg`WWtEe
ze&v4@>RfGFJ)b*ZJ5%<YrY2i3F>M05FQ>a43Zmgd082o^zrnmk9HteRym!@C;d|!A
z&%};zO?G%@Fm(EyadT&hNux7jg+uoadJhJk35XaZWpSH-NV|HcpLP+z^!Ra*$hu|U
z>2xHIdL&-2g#qpT`;jNrss3(nbz1-qH4R%;U+?9@>i3$@Ts29<RL|P-IblrHHlA%J
zuWWLmFd&@XG3fK(#@{WiY$Md`Daqi)O@e7kYIxQ)N8D0<WDu$(O~}l{#ln_&oa!0f
zd2f1_!b@<2jQtsAg6>(@=EOkj@<S96SOU@#%8}@Yb^!7A--PLgh)(uA3c3QEQ`m%*
z;~@qS&)wta9qDE*@D2-g$gk7t!NDj}lo^hg+PR$C&zQ0mYR8B~za7AN$AiWtlpRnw
z(TpCFi-jpfaP&54KXQJFRGG#HH-$Z!r{A&(D#k<}@iJSbI&|=6BmD34xhSZQ04Enx
zF_cnux--7>CJmjHcgZ>|0xw$WH>3;f#^`0!PIwCx5$}|z^F#?pSTm$(_W%^e(DB-`
z9UZOJHE$*;;HPgTks#QAoG_4m*6n0^wGJW#bH-jk{c&hLgdizE_xqS=nITrlKG*P0
zmR+GRI#<K}95JJ_#J?kN{Lk-ix0d+XR5v;O#v&OtE#{D14;Ie%Ysa^v88zM>C-g_L
zK65C}PhbZjtQwvF$I#9IKeTodR{D(YGF9f-pjzE^wzXgrdfXQw)lz7jy;Q-KF%&P|
zGrIz%tSPcO6ArUD4RZXzdB5dcw$?Ls;<%zL7Zed{W^LRENPCKOwN2WwRhB#7Cc8mn
z#PN{kMNgkXC|S(5DbmBKp5YW0Q*oA!@~a)4%^2E#?S5*?28T?a#dR&IpDBURn8iTv
z5MJ089D~ohX5)>E=JCu2`H9LV9>^BwA@aY#*+~xVN7Dq1AE~3jp_;GA>>j}cM!UFL
zQtZm#Uqe4wjrU4)q?xwa`3OPWH*g+3o=Tz3tFCsyF7)8#_;5iyOgxY1Z)_{Q=@oy}
zB}L~w_Dzr_q2QRY&kot5Jw*Ps27+U2Uo;tG=fm*+NYoT@Bp3P#2ngN`5f@ooS)98<
zASKs^CtXESxsZ*4^#0<xU2W5H-Z`0a6@BzW5AXqOdwyuz`=oAiZa?Hjymw{>Z4A#Z
zvh=8_^wDZ{yRCV=>dfVWn&m(IdFEF#0%nZ=!q50UYO}Y)Tvb53j$2O^OH%VeobV3o
z_$zr+Z%+5xIvI%L+1n?qAZvuaAMX&H?v=6p9rhNwJ>AJ7x5S9(&3f(0WP(mAG-p79
zL2ei0Rn^}gbWKrR<e-?}_Hh2l9|<3BcT(HHi-!NH*3;UEu6*NHNKZoNQ6`9)vV=^P
zUzyuV6yiUeVMwOr%4&V3qt!L@rl)zh^P_MmGFB}V*0ymzu>X~H%}1^jRcDw!kdd(9
zj)-QZ=*vkN367dSo0LzK^Ouq<qgKfaa*An~jN82DPeFQ~5dEl(mXosqBu?$*j(`Qb
z2lYcOA0Pkh0$FUbN_@<tP=Brx(JW1c1^780enUi9dHizQ5~H}#J9)mW4e+|k&68y#
z15mOCeGm+m%{Y@|4?E9^^+!0<th)Ygbc*S3eA|&Ho_23;zi3)w#BfCwEA*CRM0%0<
z+VbMW`FN9HDS#O%n%}EW?uWST__1>0W*Cya?azE@GHn)ozS^UGJRub;Q``WWc-V1l
zL5HeHMC&7=YOIuv{CNaX=~6ldip|t7xffF-p4b+K<}ne*P$L76OkT&aYXVf)Dnr5@
zGADXUODUn#5zZ{+5XbOR-epfJ-$FoWjXzNE;$Lgc(90MHDL!OMtlD;D%_?VPy}M%#
zlTXaJsNUy;3#UK(oWAEOP{Ilip$F;(G?V=ZN)ig>e-iu%(s=U#Bu#Wm=Rnb^DJvJT
zP%&Y$W*e(Wunr^|mx+~gjGvqY(TztD^J7(hayvo&-kl}HY4wF%`AeYQ2+eW?eJB}D
zq&ftndecNXXD!%&g;bQH8OAGE!gieIay;FB)cW%@Yi&9Im$?@a{3x``cD7@>T&VC>
z<&6}9sdeBO?1lZPmmkMs#_3p3H8HMNsncW04l=mOVgqQ(4ssV{{8>~jI1`xi!eJgS
zS~zI*=&_8F3mSd}qPy~TddyykX}DR|kKj-JA|qM%Bl&py;-tn|Z@Th=UhR7NzE`M5
zk&Y!D4P%ke6e^kXi;*);;T-?LIyQRps%nStI;NGNKbojvT;#@yw*&JgJKQAe#2c@6
z0tQC#*~7mDAieUC!d*gf<yU5Co9wsf?<MXTMMpS&LKSQHB!^DIpZEPH-FQ_VI<8z-
zq9v_L&Imr!qETO#kVHVz;q7KR`yzC3XS{bwszv$ezN3EI?(~t_kCIR2jZ%F_4UV=B
zSc?tZyqo3X&oE&9kYw{L1_&B3`Vfh1)}dYXt5qi3U+b->LXg?5jOsfIe1ud$I7SN_
z&OaOQB5m$Ah5yq?nYn%xb02oVPB{Bu)Q&YcUy!Au@(0-+J`|f^KKu@xDB);}LZ!Ln
z^uFaR0NKzMalndw3>opRnfHrf?^g0eWFHtxVHxJkM!xrSlC|Jb=h;J+7_@ool}Afe
zPZE*p>E~Wl3qR25|Kx%=#@7AIwwU5rY=1(YO!cOd<I(V%rN3rCyu*M9FdEdWAp_iB
zTHY=B{k|i<a{$_K87ng?#!ffB+Q3OSE|!pJ=~=Y)PE3#{%jr0^YV#_3tu>P03xT9Z
zQlXH8PsodQ1lYl2EkQB|@t?eBm@m`xVz!~{!NRb{W1H0jPH_v`hHrvP@!2@+Ugf3|
zzW4-;4iqTLm@bVX!}tqvW=K48E(63GpOl6muqw);iiA~~y_DmDjGV+W&fxyOzsUbn
z|1mnXsjL8P^YzfRgy#vn7bMkdhFURC)&pskA9}L3CiA8xMkgHdd~P+Z(lx=k(fKE0
zn{Ho;3H643pQo;8V|5La5t3L`{LF)D?B>PtKt3Pi=O_=*-DBkiwfHA2yFL|kO^oMN
zj%p90p^n=0(eW)tW_wID|L*yt7)(V?gk{0gArm^&&+(JK+B?Z=$CRtA|4(yY9aZJ_
zwJV59C=${ljY^{;CCE`g8l}4tX=KwNA&MZ~4Jsks-O>%xA>Ccl_05f*`}^)U#{KKw
zKkgZOj3e;wchy{L&Nb&VpNV29XKOzquG@!7aaUnX*PpL(lA{RysS_9?{j@U@G9Flw
z+0P<g5Vu6w{y4y+P_u>Hpha;0mDC$kHDY>UbVYG^8=i69CpMnmfLwpCS^FkE;$`ag
zAK7w(HBJ^M=d8qG=Ue%-Aq;1ccr@%;T#Oz~H=M8SgrcrR5#GHmZO@p*SA(E9kn1b6
zHWn^h3-7^N=nwlXw(~H2Fo>5UtmC$DJ9e9b?n#L57%{d%9&NfsX*8I_p0OHmFYeiN
z|GIIgHKMwpQlAk}__=lN62j!|<jl`{M{};p<jxg3`ZK(Ox1E9GC3zh+j4bORR}1rN
zo*Gnt+~!H}cx3aygDjBrN=~or5OUj(zYSYx;T}CO5R=e2W>0uxmNCT<H*X`^wweBp
zA-@tQxm*k7Azs5T{ZG$@_f|2#3)GapRRLN8m^H$to4QWdqh+p%t6NxhPbf`<)E(c@
zHsJ~@m<*;NiMxAsCi0Wn2?89-={w6IJ)Ef51-BKJRjoT2by~gc32fqo?h8>ez<JHL
zmU@X#8iP+e?lB+%EBCI?F}iwVd>bXqraM0`bUPezl|bcPFPUkleX&{uN3r{o*sRVG
zH@^5=boQZ7!5H{=F8hTv+8M0IkR&8q94>5sye;yc?RY^(<t8pVpF9KV5^jL7q<?gs
z+Wf0f+P6LnEn*}a_IWG~Xq!*?&Np7feJ6f!M2hYfTX%9_zFqw0^T~GVVlo4t1XhiT
z2xauJrqDx7lgKtp;(R6gBnC@{x5PHjbod70qV?hF6O-BDosVPBBa|b8w6q1Hf@;KK
z+F(ri+568AJlfskhUpJJ<+<8ejZPQN-alAqe^--CyTyqnyLd1(!@fEc-*_j%;u-4F
z+6SxC-N8{!7W}Z)Cp|vcT+$n=t+U5nb9BPQ0rPax(?XOU5NE!Q^A2JjBK`ucduk5-
zvnDJjAyX6XydTVi=RHK<bP1svc8+fvm0XxD0+eVmS>`tcOPEp~;qg*^9FFsje@cXr
zsBE#4hJg%qP@>{eQ#y8zc7CqE^GmyEVR|3m4^75=gCP`1GcNvKju*gJ%y_f7T1e+^
zV)qClrj@`P8c7}94{U|#29mJEO%F{*V<IYpO})+iQuN;2$3(AX?+n_`bPE{2yWB*;
z*8HZ(RFC`m@mtl=$9eLcqd%0qJ=c<Qizh1VccLB{TK0(Eg$TssBvUeF^?$5m?B1}l
zU7s4SbcBqqV~Ab)64B3!%v@1GnudNj=u>2QgN%%)tHX;$4aO~ncWV8Q*=AvEFOMTM
zwD|;2PPh^GXGKm+(&awE7i3V42h9()J6n~#6<C!^ojW`_RErM_RIfR@s`LNOPyBZ1
zj4NBqmpX*^)h_oLK`TMFLh9;Q`8JA*^E*|=F9_%<DbLkV@0Ai-!-WcQK(Jy_H?WD+
zj`{IBJoDTpJz{rY0s?T9%8cqt?pL338R&Oh-pi87Rr|P|Bo=;8A?0Np4ek2pcNR&t
z55rBZi`%b@*TtmEmwKwoyc%hg9976Zc3f&L#0ophwI1EW_Dw5DRpfq7MgDq!q;2k{
z&!ZrF=F$^{p_N#XK1QYs%hXA!NkaA>Sbim9lXcmIPQTa8JC;{nrbL;s2!6MCAPTQ&
zvtB<}^P2uBev4JL^w}_d;l65_PDhAlxI|plNgp=HUiwR()gFUvr@V!{VsrB1>yCc=
zSDRW+#Um`vxzE!SC6N~hn$6$5)fuA|GZ|8nV&M#=9K#6=tP14k&QbZRae))Dy{QTb
zQ3MGiL7r{Qjx5vUiyj9RCXl~3<{PBOa@o<3j*^8aZ5qOTc_B443E$bR6A`1N$|F@T
zIn&L2#T>)#vs?bMN(>Pt5>ad+B1hk|kWbqhu-N^ShzqhEThsjZAr=9{uPQH}(!Sx+
zkjt!NZ`ZKjot=_+D`X&2MF@gXQ4SYmT;~jWNUBeFS5BTTFstV4>^AyF7di0U=GjgE
zs9I#AMqYG98Aw%3dusb#n6};|4MBdZLWPoczTiqg+MKbWS6KXh@iHEYB8C&M?qNmJ
zN*P6OcfX9hQY%`T+`Z8%(Ot!+uF~a4yF#tMAG8BO$8*<pgZM|LO9!dmSVSy#T628S
zef&9UOL!UA4Mh4*qs|nkgI$~o&DNIr4GK;*1(nVy3fCZAZ+taSYmZLFTq>g2dIc8w
zRP`GHVSUhZw7mB<<(e#S22&gq9?@<4rZ~P#`Y3)r{m=a9=fP$gL@G+&f*R_QFuQkH
zw&QN^a5)iEeE^D|G3RG11z|T-UYieZ`5=9K^=WZ~GMS7NLABsYG>P|J>GRXRx|<`}
z-@@J`wabzSQr<(=JgdksiNrgW?_qiK&#r(;<qhLC-m`M<yak<7yA$=Dg(p{6OAa<(
zGglk*^%)(@FZN^=WjFpZD<}8`G!^Fu1-;3-cX;s$@5|V&5XKk1ea}5RB@N!i`z@*U
zATKC*2d|H|pQjs1>bvscsP0w~v=Oq%S<IWeG-!0&vSKtpU7%BM($^L6IkMXmC0{u-
zX(2(eU02Mb@!3=RS}Rm!KOZkX#BFUP$Do;9pW<IA$VhcZ=(E5g`bnkXih0{0`Ji)G
zw`kZXD*4OQli!Cf%ZunwH&723P7-5FSUi+JRi7I#6n(m?)4mpBxL{{Yyv8lvq>69b
zXjc9c>-QDDXVtTz!duW$Dyp2#ee2`(Obk4#CEs(Rgza(t1?FBe+4GzAp8{67DJU0Y
zuOQ~J&6hVml&aHV?l{xg$4-<PW2v2ah`#XeW@QOaM~d|?`W(yM#=Io)5_O~2Ilkke
zQ^-NTbJpjs(76!rlr!#@6z}MiLJ%zL#@BjFv(Q0Tii3Nzu{92>1WO669u?i=5H&=1
ze~g=gy5NjEe!i<=^ZScMB8R*58k$IkBq6Q3<V+#&t54r9_T3>enJ8KdJT^0yx79o-
z$dEn!dTgc}zbD&SMk!a~grBUGTYLTEu|h1vd)L)cSM$q7^oDBbVmZ$~3_ev%Y#v~a
zc7Ol8x|{c({wxQ0cMOh}c_(VQeMxLEK8c8Inp`A;b-7skv`n5cJp7*WvcEjz*?7)+
zh4*nNLui8Tk1IA4d@)TTJgeRJ=!5x)^s;j=NO2yUuDeLy%;r-p*(}N&J-eGcao)>{
z<SnsnNRtNMlJ{sVRntd6M@7x0K<<Kdi^=ZQ#0vEgw%2WW2;RP5<(6{Q>Yb#dJ1Aav
z87%fdoR`+B7G0f>cfV2joZ`y(KX^c<MR|f|(GZJxrP+D=x!l=wR-5vI+5s;kBOQ?Q
z=oMSWD9%;3q22#cZJnQQ#<d^Ms8*6=dyK*RLu#Y@g_I1##noNy7ZK4|=XWEw_g7fL
z5K^2Us*zMPZH|K@T+yL36*j(DlcUvVr50JA?v+`4D=s|eLXrG$U!M%%-T%gjNytz?
z0elb`p6Canln46%I2S!Ou{Qlx5Sp)iIh>(jX8|+sj*f8vW8xzD(Y;OVpi9Uzl&U7C
z^vcfb=@jqJH9-%J(b3E$^lr31BCTy@YUJr{UNj4f-BT0UXVgAZ3z)wJ!$#7T1<;_4
zlkhDU62%`mFVA*FKa48n-K(^uqE$e||BgQp@+LGLDmhH$bFf}_P(hET52Orm-oVrx
zz!@q%S5xZxw0T&Oov|d#fh0GQN434VdOpU9e-*oAu9?Q433A=jhVyw(A-MGv__*BM
z&0_i2%8jpHZ&_~?F0hVzO7znYA-me`SG@jYgR%P%VJ4%XjNCQ!t_Ik;>)xXH5N5C=
zL2Qv<3C5S=LgAlqJ{>MMueu#C!0v|RE3+d)V-@gR<KBzMvg8xod`E);d&P-rv(@wN
zR(ng3ICi<97v4*UwFUs5_4W&(H^*V2IhHV-?pI{9N#Qf*A^1M5mRgK42MMF)1=ZY?
zy-NYXA?4vmwqy-jzinl!ZHgsA=P`lcDND--pa*+hS1PJFMot-)kb;dnsmBo3L&T`i
zuDl&1^$`mp{@Po}k~BWtH=J*QZp<@8{Y%aIl-f;{>e_$ImGJ`kLn2^o@Zm=CwMp4l
z8=kDMDsETrX6`I>ViE+#ic>$DB~4=qM7q@AGerX`!0Fv|xL{=`PnGQPRs2R5C9VC~
z<F3;pt#yv@c*J%tv&)h8XHDu^P3g%O&U38aWd3-MJO#SZ3eMHK`Eb-u@5YVHjI?!?
zmhBJgx2@+opN=G`4hn}Utnmz(c0c0!s$<;vv{+I#tX}4)E!Y+*cv@NGfT9`BwgXl-
zgBC@(XsXh>7XoLco4a0`c-A~;A@BCH%Z{?25}rPGsq?S~ZX-sOj3Ir+v024azvZ7N
z+%F<RL;wRtgo;FVG&KUnO{2yrG6Q@T{weH3oIBxsJj~kgp~;6tw#Y=8sni{t=S_Cy
zo&(@`bnq6_(G!sqG_sgSH4{2Gp-^GxMb2AfK2n1Ft}jPa{On_zHmUgyd0P=;+~&8a
zc7v3g5Wrzl&a3~TRA|&cl&dQlk*>OZN1FJl^9gX^aG4CT^<)6uN)3`r?JE|ypInEn
zH?YDKiwNh%B=A^gS_*K`IBen3IqsKJnRMJMK=26)U%T&-DHQYqq<R@mrQnU*_l|<;
zG24l`^kBj<n^99fhu>Vl!e%eYET4AE4RBW1>ijCeoduLBg-9Z#A5CwV*nv}{US3hX
zACm2FJEI}}mhR`L72sn()EEOAxyc{yElLnF0T@qELRs_swFB5Qw}H_>Py=|-5~;S4
z6l8KTLE{l=g3I`?;25JGd7I_+uK$L6?(DrRjZ=C_l>+NbwQ$U%{pM^_7J_6Qkbc3M
zE2zMtwcW;gZaYs9MyMHk3pn}ufP`R3Rs&*OcVn%3faHZ+%zMlS=^FtDO|KO1jb0=0
zRRe8|3s6g$m(CHQ0twcgM{jUuDgY$*^~0<p#L0%Ko_nZ4>?Hg2xD?p#njh#k`T#y;
z6~Jh)(kl?-o$><uh`1+_LBLL8-!9f89f|iX)WSv#6F`xUom43qk^@sIo$~4Aa)}~8
z#h*V$bmE-bR>+@~W>lW`vEh1ByLHC$>fY3rgPVyaS3B1>$Ap4b%GBq&%S7?pu*&sy
zoWSol-w{3GxKVk1o<*g=Qx9THjUMHjwOEXDDHec=&{^2B9j~xAc^7lC3^<nlVslN2
z8d#Sb#B5pzn^Va$V!SIE`B^2?p8=838ToJlxL;IZ875rLeff9{dlF|Ko=adHk-dfq
zul>c#-(vH2Vr9hoNwUyNol_cXs8PWkY62B8MgY=XbAw5_CQas^NQ{Wkkx!FrDINfn
z9|W1#R<dom@2}L|e5zMsv;M0TXzL!)-L|MfK~u<5YndSBFp6jfI04|o{Bx9V8heNZ
zt2Gb|LUu$j(am_0nmNW5HVHjI(<y6>!uayL_{)Jr&PiYYDi%k({HgCflr=@XpMJ;E
ztG2@a$m6Xlo+pyRz=JupR9eK`V?FjE=@poqH+792(%dVxEMrn#IDvT=u3{>S*8AUq
zfsPSqbJoWz%b(K&^snhmSFbnGfXLR#+zHxS2Y8Ma_1kFN6xr|CjnwpC<R7f`XXIee
zmX4IX)ot?t8iWBPUts)4;+|jDgX#xYo}L}(dg!Fyvez;CIf#x6z>;UN1dPjL?nl)J
zeU}H-5p?`6^Qw!%0hcTU(C%3@;Pt^-1E#n4CEX09WbtlP;6EH{oxc2-C6^x@4>_L=
z7K2kQFJHsf6J@%?MM#&SoSzKAWF-DEl#wPb@iuT3hO?;KVHH{?;cC6Ql0QuxsZX^A
zn2jMRI&CT>2N9B1hHic{mqDjDSrQ}o{sRV3#X?Enb>`|H?vD-PR~_h3;~R2Qa_{9;
zo%{dk7|NQ<&m&DFZcv6^>qPG)Q?2yD&L}Kb{k^oxTl6hcpYr)(tO?ekB9BvaF=`=7
z(-FdTRrT-|gm(dl)kJQq22tlo^(GmQXtT1GR-G%WXWWiMv^h;Ujrz@=l0ev#i<R5c
z$u)C5{kEekhCR@)V7X`dEKD;Yoxf{}1b(;O#@-qVN-bvK9&CS&-{q$1_)#A>#xrSC
zE7L+ss=@i;^vXJ^<vCVD(|5U_?lgD#`!;ey^6urr72F(c{M_h=CfS*x!hUt6_ELWv
zB1d74dVqakiC~(I2#aREE56Hd9>}GPi|drs-IzUbUsH%!E4_AlFhBGPYiCVqPAi*^
zp6)e;Sp{IH-AUZo!?%wx)8Ajg>QpO2ND6OvJ%<Jt-L@a09`q`=kVP!ZBV8s_hjMhX
zM_Nd}#@)3atvHz@Kjxg0#S5b74M9_Wdv*!oTSqmW)G$Rv5ovRsKD<ziT9k@w6Ul2u
zi(z&D8QP<9(yyH(LUQBjkJ`(y0#B-38F%Dq4&}eC{LzKfIF~>RqX;O5{{0y=<Rmrx
ziltWW)qj5Ve}1Zc{u>wmJlu`+M-xrV5=ZF&`Wt@2!Nd}E8uqQvgsDDgcWdU{CEX7o
zH9-+@c7z5oC}cFFytgN4ajsy(0wRT3$dqp_5;c)*DLbmbW4xeKrG9ZqzxmbAk(Yy_
zO}W~Zf$c@SHZtBliT{8SBklec-eA(d(@18n^ez7(m$oq$#a=@$%kbs;{Dv_w@wl`D
z*qTtYG^^t}>emc!5hDE?Dfn-?OSnHh609WPZ+;3amBPNN2QLHDL_)#fmh%$g;QJ(;
z&%v##+;gd&OUj*!exgw#f=zq6-s^V1$)3Q1M8w@VyKj(qds`<TvRvZ$9P_?%lWFnq
z_Q~FA7&Qf78WKMHcoDdy{^5=TFDKXeK^vp`cDkOylYNM+d>6nxgdmIOAy8>q+!%LQ
z$u#k5@%k`-&v;MuZjc^r95>>1mE=p*3t(ut!2X@etJq}(lA-3UYEm`zWcOk%2d<P}
zrz$WF=OY@)daIlRr*AF_StH3DK#q!2GC>#3s$P3cxX`23sC*xG^(jPX9-NE-@li|g
z-G?uE0Z$A-ZtY5KdLYA_gIM)!1?g2*F0`n+w8JCNY=|PO?ex{_P0rOKNaokzEx=K#
z!x27GXbdn8d8ssKApI$^>fjipYy_<VL^$%}xWnBiK+c(mCJQ<e$OY-UlSY?(qY913
zl9^k@6x5#xM_ANjJ4F?6WgrH7r}6L6TcGk#P;atqie94kWb-!rz4)`FaNKF9;|`yL
zmgSr(XYc~o2rEBH7~z7jKRNF}%&RR>*bgGSrTs#b908qOPu8T}4}c^Jdh#amt~kEY
zTS0^Ukeg?<HQjJqLDHf1N6S8pjZNKOjkRL)S*lFZCR5a~^N>BTkbyEfh2YQI!-eT`
zVRjJkCEOC5Nxs`#P77oEUyTa(?XEwU3VJhCV&A2q*c#zYg&&s<>Z+G0P8`7Fic;_9
zAH9h&va0}oOUNs>s|A{pU4W%nzRnl*q5IU92`b7-|9YRGWllRNee+r*oEHT<^7ScN
zV<ZM5LTfu691aCN!FjL_#HRCoMn2p+#9DI}&r$n2w|eS6-82}o1&~Ct(jP!{JH}+v
zjOP4Y3L5TayuhA+F%m0zrhCJ{7Zjgh&e!LkvXt{ZrWEf!i%K}<2Lew<cC7n%99P*_
znRS%zYEP4dnU0keVj#@EgmUo*49YWr?h0f-R<dI^9eMQnXJG73;@Zc}9v}Tuli>%i
ze{z@%Z9>|>Xc@=3?$<TCdjM*`u$YHmP)4tD3twh`fJ89-;vODE7#4UUzL30z)C*&2
z?zs?RUPIs?ig-C+C!>&Vq3}51U^zYewIS;B6p89`;B|!vi+h)kb@uf*9nuF<M^m3D
z?!2wXRmggT+Bo0@h&vL+q(@?GdumRv)<%oZL2TLX;riSs&s&(ry)TTED?!RZbUi?X
zGjY!g<g}57U3*w*nW?Eeq6%Cn^If>ZnW~&CtSHlxt&pp6rMJV0rF0e#-|&ndfXEqc
zZ^kRQ8SyrkW5J*VHc1(vrcutQS>+*&e_!^G`_(-)c5PWliNxK0lQSy-9OMn4?5lp4
zirq}pd8dMraS6etv_4XbFbM1D2?J9t<ld{=vb2k^E!+xb>D|V5M(mirapla~jRRM5
zm&DFD3}Qqvn6m_mYPg;AYT%#*Ka!+$QPlCR?feZStt`l4?2?tuF@`^R=aYd**j8~%
zh1B#!j$bC%bj@!$GP4^Vv^wzzu}`pk?I4OD|NO%uX7{+0Ts6k!&Ta0kug;&irL#j|
zb)50+&eN~Bm>zsr9y>kFkhA8d+U#!jy6N!ciTx(KdDF;~elJ=o(V4>8;rV#o`*i%=
zy6rzdwl_ga3WfCB6$nUv39vFPsISqf6DQJroxA8JQtZR+I=PlE`&~+cdF#vO6p*;2
zu@h<fU0A`$mEc9!i{@);Bx#R)*v7C#m0_2Bu6s+BBGa?ok4!NW=}Nx%<Xk*v^TwoZ
z3&`=v(*5dEht>v+GXDw{QnUizq2+bNJ>=6XULGotSW(U2Xq5LxuJ*-;33b@8D{`JB
z-H$FnWx{B;_&?wLBaywTkQUcbWhVQd?+DgV2b}K3^!G7g<={tS`%0xs|F}}{SB)c`
z>4He_iinjgDit^BVS+!un8iP@>~Ss;b#IrXy!qR6Pd3niuhuHSHDl5JWpwr%V#vi6
zm8ko6vLcZ4UJT9?2Ohy)&QKRz>sk9P%sf(PHio1e%UibjCx3-#(iQ#XB<e^O(XQm*
z!Q{CKyr+4P|5ds4r-$*iUpt+PuWWCWRy*#mBg56c!ry<1&9}3+I}ChOY>p6*jD7Iu
z#wqv#y6b5rcSlDjp;@BE-S-<P{)_#fi2kO6L(xHH?bg2&-mCzobzY%CKg&fY-ELFo
zfOQKOk-3-d{e9{{?K&Fzsp^945?t!9(KPJ0mOvyOHmgQ6bRL_Ih)C3tI^ygM7_%0c
zD)pD$!Y}zc@i8%m*RhO1ItydwX+hOIft`K5>^n#6u9dXu{5a@Z#)b~Z%Zm=xD58S&
z-`w@JxBei%qKMywKc3?}R?U8HG8(mj`S_PfV(IP?qXd-#2BxQgCG<3C=O?7mU36X~
zQeZc#kcc^k6LBO>zc6I`f_I|pWQgUi^s#p9v95-1>TYoE#_iE8{`E5Pt|dt2(aF*|
znY!{MZTIVf%~Kmlh>rLT40xrsn>Wa#2Ul(6diTd2=#p{Xb^MPxsX-56dUaAS+ey0r
zgP3-x!oGKCUzlR-koHs0s%)v)dGrRUlWaAIv4X1deEZREP=0w4AMikAJ2yWmbtZ~+
zyS(9Etm(L(dn~;&oGvt4_o8~cLiEY%x*J8sjstvq)m}T^nJAw7u&oQi)6F`_6)8dV
zKl-yGTIfLVc$y-mK5>UHX!)+omhvIrewKWB72=f?-_D6x=>EI<$Cu69S6HW}%BKd7
zmpP4`$7;%}kLTL}+xYIR<=R+R*<^)xR>@+XvEQl{>fB7O<MtHQyQ7<2$vdKV<9aSf
zZzt@JTWMs=2#3S+Ebgh#(hVAAG~0e9Mea9FH-$BSB{o}tRadhOIh=?Ztb);M|J}Dz
z22gM)wtP=cTC{szj((`A7HFBd(=$t!ScYE4IN5CyJ8`)YRlpYL8&yD^W7M#5vgR^8
z%#=1sVa$4_RQijydt#LyOuq8tLBo{-(zg5elP<za254d-_lB1aWFxNbpN(e2b<aCr
z;yfPnsoMS>BJ8rPVy`rNk+CFk=Z8}h^Idc=^A%#<Z)P4J=h4wyo>dH^iG|*8n`qLs
zTWLBpKIGi<jz3mEKW{UEjG+!O<lN?|%9@2J=qC9{kif2ZCU7Z!&~MC!h5p9E!XnFE
zKAzuuGD&UyS)<J?RHNZJa<xbM`x9iVikWQ5Lm8319ce>*FK$0v%6}_+S9+S^E}soo
z8X}Nd$e$-`bTr#niOZ#PHL~~V;U?5)5q!XOytl$?3JJI^-#+q5^Y5jL#;aU8A{^T4
zdV2qm<{dthH)9ZActdQoN^b!vBZr0<GbACQqSAR2fc~+HUesy5b?+t46H{#7&(%$~
zydA`xbmF0p+u44WS-p948okx#kD(mKT0Lled4oM1JF|B)hlVHCxmG*F{N1}gMEG90
z+X2g6n~4&`wm@cM^1&*Nv8$32NyXzk2YvT7Ir;3erPh`QjE5EzdpkvyO1=j|NdV?o
z89CqOQ#OfFd8#?CimW>qD(FttaHi+7R4>nOe3!C$R<GjQKfjp($S;Guh<>Go-^-4_
zyuR~Wp08yzl5)%=@<~^=&n_#ya+#PUYe&;C<`_u!b;&0+&c-}`WZpk6S_w?U)B!VS
zdn}4htv;dJ?lq)W&Zy*<dh}nPp2e3A=b3)mSU3@yt!}&JFiW?iUKf|EnfIC6a&d-L
z{pn`h4YGlCTY($&L%8|24PqNU@nvtOVk#NeRhL~Fsd-L%@8`RyvX$Gl^Z-&fH+)|8
zAiI!kpF#0g@v<B)+H8EU=_UnAW@Aq#2saKl>a|r_hZeDXQS(_n=@*lj$8uRJm0|4j
z63(^tN{ulD%9)K+|BxV>bFAi~j6z!zd!NmTB6o>Zi@q*@W@BrkhJ3UjWi$p`O0i2r
z&ko^vV27`d)+iy%@lJQz9L+tu4?+WW#vgdQtbeYh=L-9r*^NbU+?U6#CS4iSJX1B?
z(BmL<$CcYZ?wP>6)omJyXGcfq7DL~?+Wk4$fGJx+zbhsgC%KVTx$5;w(b~0*>YW^w
zcTO~r*J_@EFIRtkI48C{JU=}b&#DUo9=s~wLIZrLg(#n(sr087yk48|4qJ<fN|q)@
zcY3NT`bqdl`zY4)9rvJr`~to-Z)6lh<dclkl=0P*10exyMP20_4QGRA3CX<sSw4rb
zw49pn*tZ6Zn8K_e-Sfl?*BrOSC}U8=!LMKGgL1llW@Fi8`;4-$5G^AuD*Ug1i^Aa(
z|7U+iWWY8B-O9{*@>4L8RW|LXmz!hTy{r1XHYUch*_NB%W+TwP?%bTab$+aImL<A&
znNe}5^i;RVS>dFruZq<BwdJ-}yAcyU$*NJthm-IurJXfatSlbWaNh*HWVu9mdk&hg
zUv#P2j30J~@l{4)zriZIhNxox!=>eiq-%;()v?NI*J^V_!NTO$Xx<H~Wa&0;(eJV!
zb8l&N+1V+LE+R6Kaje$!vSQ{!ojA)&QTnl_KB{<A3auZRmU$7mBw$u4co$46_3&P7
zI+`7dvqA0ehkj2|UUhuVBCHVC)=(8Hmz!TE%BCAU;Z`hXY^cRfRdN0y!`vno80Fux
zM1IuVgee~ieLX^RuuU%>^)ua&im5U?o&PQVs<Qz7<dMNJS^UXtA$xe(o6;ar;6dh7
zH$LZsAQ7)*z_XO~C+OYCuu4diwGg<AK7i9y-H0O3e2Hk{+-CW=&}h*Ma}gFR0dn*Y
zX-@k)OFKlFt1iMc(tHSPy_O|f@XMAQ-<4E7>S&i&AL++d!j`9aF&T?d{fO6&wPV@$
zasoOoI<H$&`eUEy?NNV(!oU-)4F-ZX`FomaR$e+EF<V@wq?*{xnpJZ9SI#ubEScSj
zEB5oE`Z?v7c2kmgeegm7)R4D;_iCSWy(+vqyKG|I+E{M8SfxMA=aTNV3NsCBl{%PU
zux2Rh(FU?6w(DX-^9eIG@+?oIZbTQG1($cmj_W){BRo^Qr&ytqlxIS^y2Fovd0l4{
zllwdv)D|Z$I5trt#5geaaJxL1XP{&KW7gTTj+Dn9HzUw%humz%3mybXM<UG|N<|Di
zQv&;@e&d!om%Xfwm@uE87E<3;n6Mz{?R#^D#0v;n{)UngtnBF~e@qBYj5pbGoQBEj
zVUf>yPEO;o%~dM>u4?qoN4#x}Utl`6YE|>$?pW@KNW%PMa%}p$HmaWL#+plBuc+d2
zwsAxKNJgHQ-KeqC02$4{EGJIO^qTxKzuRz$#BtjWr(I}p3vbuKgfO!f5=}qkh`bH%
zSX^h+Xp&Y3Z2OPPj2p`K8xQ8h!nNj8rEsk)6%P#8@&t|lMvCVg5OQCT7U(Q0N_Hmo
z2C)NkDX^*^u_Oc;oa_x|@0`aJn{<5cCu8R=x%q%WDsl#WDEv*XVa{HpH%%fsa+v7k
z7vCgZMXpuF3UBDY7c}ZgdgNa?^~VaCK!lG5)a_TIk!}4oB7NbIOWBQ>MP}Ll`MCWL
za}XXC=z}<pw~D{0#=j4t;0_^OBkJ~x|BqfK@KwEf`QLZxk-5E{X?%yQPXaFd)#3be
zxER6xUQZRv-AvjI^~&Ba1OT**ADfRO6FT{(J!#&D-CI~5JjCH1oHK%&4=|V5ZcT9C
zg)Avx{9J{Eqlq%>6@cqO&XxvbmA8|lo)uUf@2x?;aTL_xfMPr2;46VN@V&LseelKD
zRN7=qD_f{*r3+-!h4UGFRrqUNJ0eTE6iUbQ0}tg3xGzF9CZ6wx_cL*R;GBkQBxG}N
z5cfiggXJqdn0X>0-}|k`EgUW^S4;jvdIjTZAOg_?4pwk8A47~IlzqX)7RlTWNw^xo
zBfa<$V0ry6D3&?G9r0~Hq!fcMWIq~1t6kl)g$`hHhUGSEd8M&m%}0fZ)UAN1*>-J&
zKvbG<x39a6%oK%Vob*41g=|nE`ok={t=~QziAMH%HFORaau|IXFK27`t2i`4=itN~
zv}J%SdKhAjIVzKbRzx8b7jjn2INGM)gt<qO+%knW^Lq6%!oHQ76XA;;3^G1bTYmTL
z_8&*USK3WL?&V#2)~Ghb^XX$2FyH@3!;01#ru9ET4EIGFd0#BbBa|W<d!P#CFlG6`
ziIR{7seVfk8+jPgVa%%NF-_O9UO2nmMdy|+{^zxURGZ-To{9-(H{gL%J*HomxfLqH
zSk#f^``Dp!!?ZrDr6$Xgg+j=_TZUh{D*&Y(=u-9oS>(8X{!Xcn+hVc?{Oj{{?X@4V
zH2+&Ymu6(v=4X5GFbt#AA4So=ta3U8{|~z;>N)FANRm9?ofq-VTd+(_=$AlBeX}Jh
zP-&QfWBa9VJ%tUp)mS0H<{@4ukf?Vil|VFP2k$j-Fb}HRs%t3fPD4EA5Cfk+LZoq3
zCrfyd5u(3BB9m{t7#vwtPU(<NTIewzegyFH?kwPG?$CwFHZaJgxFXiWRLw}(b<k{v
zP7Zfc?cwI=gQ}RJ6nJV433bnA!E?Y4EcZb5&3$H6kq9m({^ThrW3U>|rD?o5`2#ve
z(V$^J7fQxyHoFX2^uKa-U!XxGrUv9+!r?I{d*S}-aB#jcly145Y`aJk&)5;Wtk*Rs
zrJ0^|ar5p#V^iRY=AdPM)O)bmul*@^ya?{1G2yQJ>)?EEKrNqqkCk&`Rx;&rkiNA&
zVK?Iot~1VS2E(j;umhfZT>sJ1RKgq&Xg>FJB<(y@KgivIG)es62-0ESY;db2BIzVL
z2CDWfPp<d!{vZu;emrnqX2t*Eyj?!w&&kw=)-IsuhN}Hm2K@X!gpl)L2wcxTl~7T~
z6p}UVI+G<LWxfe|L8L7NXe~~yb8~gF8WB`;5CC$T_PRUbuVe=Wp13xvY&XUeo5(l;
zU;WGc;Dorl-X!f+g2!-$EtIH&01^q1d+mTdy%m5=$A$q&J2CUu-(pg-fRZ=-av{<3
zALa(SB#(>=FFGcmfCn*8g0)&RM(|C8C$DSWm}?g4v5jb?uQsA<+_L%gwuwE<sA2NZ
zxF^x;5RRPw25+K=O<CX(Y<#Yqt-*)zA|Oz!ZEuKs=>8Mnw70M1dB9nku_T6!=_8dK
z6IwgfZwL!ILOht{(%cC<p@bS7gzVdN)ke}MHJ5KzY;80NJ~sPB{Ji5sWQYw=YU%dl
zvW<o)g#$UpAjEucoI69#N(aV`A*VeZf=*K8g(#V^ALruycB8~#`cqBi>FIC$x&)sO
z4+2`zY0@dM`F?jpy68je)j#!AsHfR<ZxfC(PW68<)j|*bryp{GqtdTe=Z(KdQFuMc
zp5g%YRB{|bZj5ueyS3QJnFay9dKj)oXF<c$rWD4yswt8nsUZoWWNBCKYe#>TjzA&?
z8#`7oT@AfffwJ^8kj-2t=jlVQd#_MorKIB2euoaCxM+dbtEU;n?fQ)xkOg-Tz;#T2
zm6a@bYO{FD8tz#GUl`ak94UKL9{!*zl509c2&yC$^fmKf$jVW=s4vkdVtSeF1dC+t
zRAo?n`Rg2dMOTAhDd=4b^tCs+cE?WZ>$8u*93cxl{SbVgiO~(ly(pq$bvcXwmt#m{
z7Tr)DJy!2b3My95XR5d)Vqzz|gLZ}+cRxA?Hiq(BCgHHEgqufdh_g7dOtAd%&EvS`
z;BOvjlkDxi_=jKds5$f*>eso#S%6)L6sO7jM|oO++T|X6nMV1aU!f!2IRZK9{~tZ&
zCW224K|fHE+_${z@_y&yyS8Y5B7Y3bAR_zbHdvbX%A>yz{Ph~S;-f06Tld3x<lM$w
zeA|9DFeZDMR(w5iDrFdnt%g)62qi8<DT`>{8~!iFt(}cO@Q8o=ljK56A22l)VK=`H
z`F;@4ZVeI#C;1TkP!2vS(1p8@Ng7A1tP%cTl}0v$@#8Gr*Y8^z;#pe?(&f@0|0d+P
z)__v*Gl1%5+gS`ixf2p+H|;gsV#R?2mD#SmR}cNuR*5L(^Mx0X?mL*FT*t)Dso&a|
zXYq3l{H)ij8y~HM!Qcc6>bpc_P(6KTj=zL&)-61mil>^DVQOdGE=R8l|H$!&kV`j5
zK(n+)AbR*BjKNh`B=g>H$x6xY^mw0DDMt%Wx3l$|>kG7kJGC@93<?)J8_<$rmlVju
zeg#lHXZ!eeFqBz!4_S9+WI*_<Hq;C377v1wP#3D<+4D(&#**_paZN|K4Fb$+HMi+b
zKIG$Yn%~hVtKg@lX@jz0J7NLmPv`>Z9}(Bmc>=KJ555v<$+-pK59R4&nUzuteO9vE
z-bL0fi<|hgH4N#6eARNJwyQ&dv^N~lRCXD(aJwDQu|EE<Z4%I;w<EDF9I9AmshR=F
z>JV?X&27O#%q!8lneM|R4*&~?=nsW)TEo19puvto2T!Id`@X-PtZrN_D&`lgCx9og
z7gc~5(Q<#f`A9(vZ3NWhSsFakbhO3)raO4;(vwH2oVjd_xpu9CwZcZi_8hcA^-7c`
zf~15|GA2$Re3cFvl5=y}u*gWT;xR-e_-$mG8?loNoLGDo&iQ+JCHL9t)_4X_-=4nS
zdNR0h7{9}7duW@rqPDP64cxdSWS{_Vmu!J6T2fN-a=E?PqsNaMj}efZKVD!cd+y!`
z>$ISZk}HNbi=d;l!N8#ua22q0BhDnD7q0MpoOAtoODIftCDcMVucZ6#ai8sHD$sz$
za=nG)f@tgGR9svf7)f-Pi9@(oW)U=arLLDyP|?u!SaHm~8mM)VVE*tfF)<_v8nDi~
z0$H<mtBt7;o~b7@c`hx#+ziGoK`#yD>E0#_O>-~V=B`G5ABQraSm1hQL#^^cSG<35
zHz_HpSS{EZPGDEAt*y~D>DunEk8M?{I91y&rncURWY+}>&X=2u^TmWG*S;Jg-|!N}
z4Jr%8@Y=3JcuzK2!pn9kj{hBLsAqNwyd}N*@fLS6mo+HnAknKcjlR70+j_>v#<WfZ
zDa8T(3|dZEDvrXH@E(CL&R29AhQ`Oo&y;bYRY=8m;k8*MezOI&T4o5!K>i!`FJC+6
z1dIg)it>ICg{x^5yP`HOU=A%sNgyYLfY9z>Q`>1ZAv2RX85cl9volTpuf7KP&zS)a
z4x!LkvH3)I8ASN3K*dw=I}tmy2I^oE$1}dJHs(Oihnx&$GWKnLCy@50*x1;>#?ys~
zYEVSjS+Y)j%pO}=8kIZ;TIYLEC*<aBuFX2x=d3n~=&0MJ)W7o{;~^K-8lygZcG_zh
zf?^OC-32g9yu29<9(cmer-mb>aOqAqL)@?2%HbD8;Z+X?NqA|F%C7!MxO5teQvcDa
z^g1(*n&iaxT?H3QbIF8VMSklY->&{2{(|_(IdZ+^_6)0e0dwq>RQity^trhnW?FZ9
zMZw=-2$p!B3m)tQG~?&q`l>V4r!MZrGtFH#37^?@_s=;`H_o4yTOP>P#giwu2a&m)
zw&t1NMh`4=oJFL54E^)Q<rkC>qD7Xb<r|cenI2y~n{KYLF}XfYUO_JFaBU+@O*xOZ
zJ+v;SH8J4UTya4`;xT!|&A?8DmJ4YL7C6B-;}^sph(QRjuzuKIXhk51{z#g@7Zs5H
z{vQ10e=gPv*Yld^jT<*W*iuD)k6<1FC03CCok4}um6D?EQl51+NgCvEHSyk<nN`7D
zvZ|}BdP6AvjzYuZl%9dMg|q@)Iq!=x<9q6FKw=}YyL72gMuPw(0b(X8A&LkYHTSK<
zy87P{8B-$r;6sUHY}D|p4qAfh({0NhIv-nLd)3_?pa8G^SU1+~)DoCXf(=xHi<y2(
za1d-CemS?itc-_;=gt$mO#sulxj%kJIUX6!Yis7yek%GPT$EzTFCL?L!I^%B3)xDa
zkE`0(qjE6{x;2_E)!=Q07-S!jTTM-XKRib1(!~!TDl#aCYBCxh@sVx86G5=9LHJmI
zen7_&VW5l`Z%w!O_i0Ob+ENGQj}V}sio!7<YEK~bM+k64Sm0?XroSx-P^P*%vE0wD
zy*Oy#mo4ygi`SLEEuqsA1a#5O$zOCAgo?5hp61TIgzO}8$`e7L6Du(9{_P4a5j=gD
z@NY|$0dg>m5XGr~pPq%MXX{asUllNNdzBz8<XKf!)#nzXSyTi2P1rxoI%JKr)>rSv
zCCeye2aTR-0hj^U2{OIX2=jw}^8S3$VB(0K8P+xD%7liTD_Wum{&z>9fPy~Zeo=E<
zj9pBy+_0HIZZuri7<yzMqi~R7;ka)mDOVT~>ND=e&+vK_@utv;<(eK9avYSUH9bk<
z<>lqU7w-VV86k>L$KqpQoPaLhOS6xV?eu-9f%A2u+QkLzj;IvVpA7a;a}rJ<0LBtz
zPL&oa@`sZZ3S2Cn!k5a*)8;@LL*09oOm2(ei?MlT*1Z5mUvTzn5kfxl@)Q+rjowsc
zetv$-*+yTD>>%Du90P|Pqg*<|Y&B(LqI%)B4A;eq28c}lOn3p>g42B5#L!Um*0bDd
zIvi=0nOAnw(p}(&a9I&1IuCQ*DxH|NWJh*ZuCNBo)3UNM(2{dPWk!qNMdnphRTEy&
zB2vqr^M|V_T^z>&=`{e9kdEac$R2mxj7mQa(AtXN5T57Z<pmAGH=B5w1j}wbiali-
zIZIzi(WZYGSGYcf>bQ`f$fA_<g)~hrhNnJ9O~TdFcHWQTshJ*2ymNTh+zb=uMK=T}
zJv^Z}$z$N>0}pOH7$Z<B(bv}(;DV_F^2<DW86Bi;_6?XgTR$fcI@R<n10|v_1scS+
zEo}D@UhG!}N()c~K)Uj)+T|QJ<HmU9%F0T*0NparED+)8nhq#+GAg)w`d>ZnR6DC=
zj&GY#6TFx;5V0`S`R976sZ9U=d<H^s(ji3qS6KD#Q^vQ+$SVIUohKmqhtb|5f2Frs
z281^$Iq#38qo5wbrrYKu3jDiq0+L`Sh)e3@{@p3tAo_FWEY!$>BV|e)Hepy)EA`*T
zW?7-J|E+J^rA!>5LjN|V35`{kdj8uNCg_W@5yQnC!0Q64p)nT(?!TK<8MApIuTPHf
v-^N^^v9oz<q*_6CFYi`Bm;V37z$Yp6>qv#k@!L%=!GEGcQi55}wBG+0N?m4^


From efe91107d4a1b3b25eedc1058f5d0464275fc2c3 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Tue, 5 Dec 2023 12:15:16 -0800
Subject: [PATCH 12/34] Add files via upload

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>

From 313cc48ed80c7e294c0803b77c51edc9736d91e0 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Tue, 5 Dec 2023 12:21:09 -0800
Subject: [PATCH 13/34] Update 2023-12-07-semantic-options-benchmarks.md

style changes

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 _posts/2023-12-07-semantic-options-benchmarks.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/_posts/2023-12-07-semantic-options-benchmarks.md b/_posts/2023-12-07-semantic-options-benchmarks.md
index a414f7fb62..edf92d7394 100644
--- a/_posts/2023-12-07-semantic-options-benchmarks.md
+++ b/_posts/2023-12-07-semantic-options-benchmarks.md
@@ -36,9 +36,9 @@ OpenSearch provides multiple options for enabling semantic search: 1. Local infe
 
 With this option, both the Neural Search and ML Commons plugins reside on data nodes, just as any other plugin. Language models are loaded onto local data nodes, and inference is also executed locally. 
 
-Ingestion flow: As illustrated in Figure 1, the Neural Search plugin receives ingestion requests through the ingestion pipeline. It sends the text blob to ML Commons to generate embeddings. ML Commons runs the inference locally and returns the generated embeddings. Neural Search then ingests the generated embeddings into a k-NN index.
+**Ingest flow**: As illustrated in Figure 1, the Neural Search plugin receives ingestion requests through the ingestion pipeline. It sends the text blob to ML Commons to generate embeddings. ML Commons runs the inference locally and returns the generated embeddings. Neural Search then ingests the generated embeddings into a k-NN index.
 
-Query flow: For query requests, the Neural Search plugin also sends the query to ML Commons, which will inference locally and return an embedding. Upon receiving the embedding, Neural Search will create a vector search request and send it to the k-NN plugin, which will execute the query and return a list of document IDs. These document IDs will then be returned to the user.
+**Query flow**: For query requests, the Neural Search plugin also sends the query to ML Commons, which will inference locally and return an embedding. Upon receiving the embedding, Neural Search will create a vector search request and send it to the k-NN plugin, which will execute the query and return a list of document IDs. These document IDs will then be returned to the user.
 
 ![Figure 1: Local inference on data nodes](/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-1.png)
 
@@ -104,9 +104,9 @@ To better understand the ingestion/query performance difference between these op
 
 |Case	|Mean throughput (doc/s)	|Inference p90 (ms/doc)	|SageMaker inference p90 (ms/req)	|SageMaker overhead p90 (ms/req)	|e2e latency p90 (ms/bulk)|
 |---|---|---|---|---|---|
-|Option 1: Local inference on data nodes (3 data nodes)	|213.13|72.46	|N/A	|N/A	|8944.53|
+|Option 1: Local inference on data nodes (3 data nodes)	|**_213.13_**|72.46	|N/A	|N/A	|8944.53|
 |Option 2: Local inference on ML nodes (2 data nodes + 1 ML node)	|72.76	|67.79	|N/A	|N/A	|25936.7|
-|Option 3: Remote inference on data nodes (2 data nodes + 1 remote ML node)	|94.41	|101.9	|97	|3.5	|17455.9|
+|Option 3: Remote inference on data nodes (2 data nodes + 1 remote ML node)	|**_94.41_**	|101.9	|97	|3.5	|17455.9|
 |Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + 1 remote ML node)	|79.79	|60.37	|54.8	|3.5	|21714.6|
 
 **Experiment 1: Observations**
@@ -135,7 +135,7 @@ To better understand the ingestion/query performance difference between these op
 |---|---|---|---|---|---|
 |Option 1: Local inference on data nodes (3 data nodes)	|128.49	|37.6	|N/A	|N/A	|82.6|
 |Option 2: Local inference on ML nodes (2 data nodes + 1 ML node)	|141.5	|29.5	|N/A	|N/A	|72.9|
-|Option 3: Remote inference on data nodes (2 data nodes + remote ML node)	|162.19	|26.4	|21.5	|4.9	|72.5|
+|Option 3: Remote inference on data nodes (2 data nodes + remote ML node)	|**_162.19_**	|26.4	|21.5	|4.9	|72.5|
 |Option 4: Remote inference on ML nodes (1 data node + 1 local ML node + remote ML node)	|136.2	|26.6	|21.6	|5	|76.65|
 
 **Experiment 2: Observations**

From b4a61714da723322c577eea57f491d16e84932cf Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Wed, 6 Dec 2023 11:48:13 -0800
Subject: [PATCH 14/34] Add files via upload

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 .../semantic-options-1.png                    | Bin 73346 -> 36160 bytes
 .../semantic-options-2.png                    | Bin 35151 -> 39958 bytes
 .../semantic-options-3.png                    | Bin 42443 -> 47672 bytes
 .../semantic-options-4.png                    | Bin 49175 -> 52944 bytes
 4 files changed, 0 insertions(+), 0 deletions(-)

diff --git a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-1.png b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-1.png
index 4d0c9e6b89acf02d146b2e6fd833769812b7ba95..bb8d13d35b98fd38e5eb102891f2fc629e71d34f 100644
GIT binary patch
literal 36160
zcmdRWbzD^48twoC4n1_k(B0kLDPW)i(%nd?bazTggOsR%C`f}yHz*)TgCHo~b=UZv
zFV4B=-2bofW3y+k*el-md7k%O6Q!r4ii<^w1%W_t)zy^rArLfg2n59th6?V$j`VlH
z4-^l5RRzfFA?giq4Y#_hZmq2i;Xr;4K|>*gpdlXte<3IW5M(K0@LwRp4g&ps9|BPU
zKOq8q0)i6!0up>82!4JEApr>ieh36R5$&%MBZ<(zu2&M_zprnAf+vXte_o?N5()ph
zh9xKdzJ~IP2|<#R{&AiB_jNwX-@VI6{j*1C-uY;MUZWWPuipK)9&_`FN$~MOApiMO
z`{yqT2n5<}XL#51uC|thg^Lr9nWc-l6_1aTE3yHIl#c|sbh7d^L-;s3I(ta?NHhF?
zLIPYPZ}T!Bem~;rAkA=BTMwb=;%<cy;o;-qW01i@AP`dSmevybN-F;<4t|qnu=VtG
zmEh&|_V(uS7UXepx8da%7Z>N{6W|pP;08}{d-ytgn)z@$docb{$)EKoS$SBv+qrt$
zxi}+`^_rQxJo1!gU_dtX*Pnm&)5-O(hMYbA^;Y2hczw)VdHH$xc>h}=D<8YRyZ3LU
zke~d|Vy?C>o-Q7?F8`y&zdrt-6<AvQ)mPU??vB5Q#L|M-%F)Wn%GuKcl;i)e{q?l7
z{vZ8Ce)30izh~i(!I1(}DWUCRX=m-LWaeolgIp@y`~uv3B8Go1ZYkdXc;@e+{asqo
z-3pZaf0zEpGyf=!96<?PYikcHPeVH=E15smq7?6c-v8f4l<aKmJnbG^S^lrGe?Rb_
zl^8rS_pq`+w)^)pU<3ZE_5b$i|E@vT9rVN5%u(jQRq)q`|5^U;H~;IA|1ko8eg2<S
z{N2s}+Vnps`mZG?ft;#8CdBf;&G(;u`0oY&(F02h36DqS_Er|2|7Zs+tKa)u!OVvD
zAGf7=|LfCI$VDjuUJtBkGvpqY;g{n5zwZ63O(|aF2LH!~|6TtdcY!&P!2&DwPtzoW
zHGY3a0s@hPs4K}E`k-v(__k?%zU~fiVn|YAvU~-<r>yp#fkZ*QrZk!KnaC63!b0P)
zT6Sh-Y~{W$g>2j!UmT6@5p(O$&vSmCIh|V@5*(KDun`yBZwVOi`1Qf&H2XO7yI|h=
z^pMQ;>2Sc6ZaN%}svrl0q0l3sp@Hy7PSo?RM?$zP$Y1{c<Vr<Ozog~HKOTgm?yAb^
zTVL>hj{LW~$pVKof0sknD2tjbu$)k?Lj2Em5>v~!|JgvO+yy~mDn)>naN$3i4Gk>T
z^1JbGJy}W!EFQ4szqHyWadLP^gsjt22sPmHaI)goOA)89sq43*k69?q;&`Ei5ptB8
znbJ>=wkFCAW($n!oWJc4%hCyKO;uZ9lX9I*80Z@NEQS@S#9{eX+(*8@+!3NJ%I#wW
zKCgbU+6#?m@lty|9bwoBRH8ic{bbwP@G8pNFs2(pLTLiNDLS3I8U1P8ji+nR6-V+U
z9{n)({ucH?(~p4#H&dtX_n_Dikc+u4Wbj)!w_YB_QHfq1&A8x8AB?P~o9bvYz(}{X
zp%s({FeY4Njod0tDjyGdKCC1YGHYb}9Zk=?cUm6(o)<7z@3w6Jxng(7uN|GN(zG?V
z4`1eF;b2_1ltN=<yX8DSi_ZUKG0Wj~L3o;=^}yY?)`RaRO&T8`{&?>+^L3ZP?CRna
zUuvf<hPTC*Go9CTuF6c&WXa)k#XHwUg&+6d*&pup^BQDG`MT#wJbKuY%G<bAV>ezh
zZNl+;Rg6)h_^ef#ee~IE`BCvw;~B@Jg`gWIPj^3|Vc-N}?qlHPt&|%rTprKMy0579
z&HJBo-$qPrW!mI^@Z8Y1KMCzNC#x`e%aXvNlWp4|b#=1r>Ta-R&@`z~5DZr{fC|X>
zb@JP;j}$!Pyc6E;cQC5jboVU<jf5xL{r6lK&SwW3ciX&wetl=vpJt#deR#5*@crm~
zyVd1egYaNi0^RlJJEqM?Uma>?x108>P!88emv=tmw;q1E|1-V=_vP(ZUt9dnzrJ&L
z-Zvj`P2**hFNY$L`{;|&;B(RWhDV!b5i}wmYg&{|dwrbS&Bt@e%$l}GJ&Xx*88jN`
zzn8>4M##rd|GDbsmw|Lw7yH9ai~BOIUO(^c+kOnkoqxKITgX~TGJUX7nkTbSoT4MO
z+esI2;r4wfhmD=?$riuT=b{7|N*TuntqeXC&L$e8zh3-E*PubM=e238jLVoI!%RDL
z(b<-njMpTa*HmUU9M0n#8eQ$VG3Il+^>$dM=@zK0y2)%DXQ*dW%-kvj1DB23d)Dm+
z-BZ5G5uKonNT~V~lUeQ6*$*C>OJJti49oPIA0Lu?3}uUJKNq19vW4SX59ewhd(ZoU
zf5*xXl{M`n^yQH|Kk*BUoD*I-+=x{vF}o+Q{YuEnN1&2i=l<&l;#-<MNv@jYjJl?N
zhqo*>4zkM7Mo`-_t0@am-i1US-(xd`quNEwv8)ROwU~d3wnoDfUr96#xFlhRAB9G$
zzj#K58KESkv=@?2FR*8Oe)O|$)*YLp_s8d#AGc({VhF*L=!qpdO@YzZK2IC|Qg#!K
z)VGVmrt)qzs=vnkT=SEUJY-yVU4MP}E?~SedSLjwzdW#vbf;w&OFNOXe#UsQjxTys
z%}+%0#1OkiEl+*L=(ot;Cb-!L2T;CS#bnLaD^LiVG!3A+4}YvZRqmabSmWaYLo|?}
z#xo|;>#zBr|NM?ldAhgxru7QghjJn6IMgpY20G$lbxu55B9VcvLRer+1$!*UNBzWb
z(cBgjfA-R_JlL!!HbFWvkiJP!GmQ%~fLi*oX9|n9o@>jyV}<t2aYO|f(l`~<pmw3d
zZ0HqF!7RpT>@7ynb=_bOxVkW;>{4s*NpCte=yJ96;oV+z`dZ8H_mee#kN0PDlTPMQ
zc^zVIQ(4i9enAG6g25^r5_gQRqi}Kt%okd^_CE1T37lUa@nu(@QBobBe$N|@d31es
zxvTq~g!+b87D0_7vy37zeV7#EPc&We>%>S#2Tsfxtn|kVm1EcqO85w3$w}B<zO#un
z)7&Ec-BV#yG2+GCP~-C`*4z`Yp26%Scnpc(FcJ0HdH5wv^rFdkzbe6kO>{J|E9+n-
zMfX?h_0`=>pU<i}6v2?$j4r6g8Tv?K+EO!p;QDQtSUl4FMuwQRzo1pbG0A|U6|@SO
zDBYlTg<Ne+8hg_WrDuHdRYI$$MOlk1s5f2`oM?XH?I`*HXVbgnfU<=mZb3EKo0$7v
zYMGb54<B*!j>OV_?YPczN*Q8`6E8pY5he=Qp#m5v41K%u+p`}8A8Sk`PPOd5UHP0-
z=gg#ovwFAf{(HyXa}iCR+m+;JL%<R&9S)64{;Eg&^~0*Pw%rD^pAeO;LPJ(#u4}2;
z|EVD(^nuF5yx4&&H7Uj;dwp!P#&(P3Ne7eqI7B2$4rQmF#jKf&4^4MDY*=US_48N3
zca~=DzVUc`m96|K_P9g0=wNNYj`}k;vSVX-D8=ehql+*3bZflwUo~BwZ6?8bEx{mK
z&x$sW(XY7^XLp*@K3*>{yAzFq<$d(pxG~(1QlEW}3N_L>EbuMNvLrPsqi0j#_7<>I
zgkwE1HG`>(TRM?^zYP;9L!cAQHX|VwefW<!Y3x?WJ$GwH_}qH-FNd|mtPI*>twLYm
z1D@5750BBXjq*Z)A64T<t#Y7FQ+vckAoz}|U^+~W0p6o!Y|W53mho?He3UUUvteL;
z@=e;m-Hwt2KA%DF^FJT%@q#j0S)Yr_ZT?>He;^4^Z(?dD%uu-GAMU({21Pw{`U-dC
zEbMRJp9llRSx|4qu_HV92XqK>L}H8g0cf@U$XET>Z6;JuJWB4C1r~C6|G0~o0k9$S
z=RD+<>0cNIj{5&iHy>Ur;Z*Pw#kC#%oSA>T`RW)rsc~IdV_><zyt?oGYxXqn`hs<I
z-~OpA>N)TO?ZDojEJoZZ(<=Z|TbldW9-x<K63#W3a!N2J$x&^<<*yCpoX<Vk1_;7t
zDaB3RWQ&J~&-ydsTun&*&1J5b+tNyJ3K`FXsam^nfLbOhjot#o&8(TGG_rUt+x#V&
zVq%XjH1hgq-Tdo&?|!7{%J?3C^9G)75UfHI&rxOLMz6tGVS5q<L^B+or#0daz?W&G
z*Uy?Q=g~stw>HD1jhgVUnf#T-1GUrLNsOxT6oMGHjJo4#W@_yiGsmWL6n|xdmVrAD
zt2zDZ@TPgA<asvptx(J$9L0y7kpvdq@nO0q?!C+a{Ir}{79Nv**#AUk`gE_C75K-e
zgTj-M-<T<PYN<^9GwrIZ3`(@h4a>)Btolu!{Ct;g^0?e-=Dm3ij|)}fN7`zGEwaY0
zx#|!eBCfBYau|r6S&!k})^N8A(CP23x^I?xr^o${zma(z0~FMH_Tyz$W8X7Q+3Sn_
z-pqS%i_uZXtQuOh(@p)wk9KbssR%oK8F+M0*;EW_J(N9N=VBVGfiHXETK~NQU{M4c
zYPzu(#Sn-0oNwugr5;<zp=xLAZWq<3U%>?#H=AGddwNSwzPjIi&9QdJ1pZ0l+qcqL
zHjC{k`J<$7mbxAeufK!swt^D$&S5gw>#Ln-8|S^J0{CsrC3gF3gVV5q^}`>Zi5fL=
zy6i+MinUZlw~&}_wtm<5dyc5{tk`rn&9~yRUh^B%s$MD5RyIYyO2a{gN(u|WvAK*D
zs{=gL$;#NCI%_jELg%}Z<S{Ir{tD?c-B~9chv@UQREC@|p}Sa-N@JzEd7N*W#+1*L
z476YiWV##>FE4;4RB0X=YFU(}fSr1+4B@s02>4CouLhIm$C$*E@W5{*TzBDKs_=%X
z9EZjft;Z|rnOe0)IoRVI*V$NKVo2ZA+N-_}+!!xic6ff<Fy=1(0yQdm->CT#`Z~20
z!#W)lb{eqy><%f{-5uSqD{C6S9dc&eJN$MQKSEZht$G=3hjXRRxAS`Mc`=Yw6>yTX
z8JV&TrUb!ubUQ0*GIiG)%H#RQa;2Y`E0Q(#KWY_t7jz-;?W>XgT>h%Yo~-3N`_J&l
z1CIvyyK!ixP7-9VdN9c<Pe++55X$0cUK?Yd;`gU45<XYl>Yr0#1HOm&dKZQ}c1dvF
z&%@b#vthevU6%xviJPHNs`shD<frJQ@UTcHg>;I+H!4%VDzv<TEo*oeQaAUQQ#~ee
zI9Z+aO;a6!#A)33TQ2tc!EBurM9?-IjA?o>1iEfKcWDtXEu}vMxFJi_CAVBjo@!6X
z!DZUiE3<j%9<<h#9u5sk-RXURNy><eO%SbB-B{IQss5r^D?)@aK{~!tO<f>f5l=ic
zrT(TR9<^Aa0d*qYWTg?B(8^co%Y$*vRJL|`N-9z3;^dExVgwmNO;@G<Y>nRA@of!H
zj-9uQz%uuksxq_cOEtSIbqrY4o!n&2%o7I~xsdJ1u<W(t*MOb&8`eiUITB!xc+bg?
zH4pH-o!s(i;8i-n4q{>qd`TCviNw?DxuRJcooXKol^z!%v6EwoSzd*}TVS0xMy}ig
zS8zpV6WxR1Tlpx>EMxRM!ek~s^br#I8vr&5xtk@>N++t0GN0s~v2Rblndfc2a0h7o
zF`YI5&0Zl2#8g<5G~ToA2Ik86VhfOB-K96$7S>95k^rLE?E~rosNGjdHH_402QMi!
z(n4lfkR`(cEN|dZuX(XaWaqCYTgy8Xk|jK3aJeIeF%3*+RXV=|P;NUX>l!7#MA@&$
zcXk3$ig(`Ib1ceIyQ3r=hWP?p29iC%7Epx7Qy;3JxabI!?Mi5($($c=yWEpGTQ7Q{
znQl^Tj_w3(uF5K44r~DzyWPjL9{348zciT{c%MBNbrES6SWBU?nHRJczZVHt6GC0?
zPS7O*J+m_}PNHXU>+6gnVyqh-A5fHQ&?+WlechYF>b*5Jimw0OWgd^Bo5q`ZdMJ&@
z_+GuMS!%k<-GgMZ({iU?U4<A@?yA@sN~JDfpr>ckcuoBQA31UE$d4i6RI!Sq6dqt)
zitq{5#W#uVrhUToESzs&NKj_l?MPbiOW`e85EG*98hcJsJ%jCp*u0pYJo;N0B$>Gm
z?6)b~69V~e07u<|D2dKvJN5vZ{1__j{p&%~SC<c~Y4EQMvWFsF9br1D{f4=oW9pF!
zC9$ML*BqAGSOW?#{0xiL2x@a1k4$8*P8e@Ss};_f3FZ&PzunGcm9}a7VvC8#5cnZv
zWDnS+dHJswOi@YU4^bPR%Le#|`%Xnv-mLQnyXcHxU4HPsOY>*orI;epo=koKl=Mx@
z*$?0zKY0!XDTZclgPqlRX87vfJL|!$9dw*qN<T-?SC@uzB$HqtWe(%*`k!&!q7<;~
z0Uk~ZH!3xXhanW;HX)+UcGo2*Knm1+f{0iRo?9PoPMS9P>_*V}!?=L&SuG7K|Cy0_
z^P%0AWMdvh|0qYOoC3juY?vapK@Y2kaSpj1H1gqsxi`U1@04ohcW7cfXGgx)f@KAp
zYHIELHej2}a62~oGU_;%J-YN>6D2%L4*vY2+c@VFJnd&zS(HM_Vn&p$TC<$5jIt>U
zpW0e5hVEQhO6*zb+x^@cP%})VkxIeZlI$NSCb8pIK*+;f*LmzH2!(uh%s#1kd~!Y6
zSp<Z}@AcpWA_YD&Eql8~!)kFra9C+VO&zbOr+=+6KEU#W`>I&14e+|Bd#jv!`H*O>
zF?@P#fG~aK_KDxIRp_ZO<|TdBdMIX%wQ}#iqJ^VnWPz>X{`X<J!5+Iw>$QPQBu}Jr
zX-e`+jd@6)XbBw&C8*f41`X(iT0JxBQ3EvZ5p`LmF{gm-<17l8TA!ymT~gu6@yiDv
zYKSHxBbgX>fRjzp8Y=To5qniah`JFW_bHl$KyM*!L$!fzE(UUS3=Qcx2vt2oB-+J0
z+ckJtUa%Y0SY{FO)`TG1THc<^tLT~1Co;n#bxY1wV!pjN$Lo@7^~~fCB)#UTSGG_(
zx);4H8=>M!h@xc&y_ZBfq5eZD748Z{5o5aM#Uo(S-;0FA#*d3?A?#=yD|{Om5XL1$
zk~cO}BR4vAm~vp3t}Ha}+8JrENcED{_m|IYs~ZEBlSsUi1>TxJf2Z~r&Xj{OQ2_L*
zj`3jpH|zKp`s75ST#}he<$prbUN90`0t;C>|3IWhK|r>uoU-QD|Hn;rpsHCXqfC1K
z17r7KA<=Y?i0uA=ATFiQ0=bI5^122dYCi57B9DHao?G!>705jxn38>6WLGtTXq#?v
z0RmGX3Yr*xjz^b)qSDb|pV_Z$S^pWQI&LtY2kWELHv(^S{Rx^0Q6)6!2_@8@g#Y4R
z6XYIw@eNpaF!Sk8GixvRbV4hQ-k3B4KHQ=hfj4)y-Y@SZduBAD4=WZ%bydqre)dHY
zw)?fybH1H?J^hmu#>ngs0f0VgGYI(&-f<#iT^HoM=x;%7P5vA{X9jp9*5Ke_G5am~
zS|gtuS3sgk7BHwkEE7b^VMxtLgfe)`-%+q49j+z`EymDn<lZN$)IP9C-W5igq$PyA
zN@9x+mkeVhtOi^D%o^%*FBINGgM!KS!D8hpwo~E$ec}LAEB*x863UzZ7-I#baEbPh
z0sempmufK7lX;-9`LFgp171?62TJ){aQMwOT&chUaNgF9F1z3IRGgl@IOt$#zS2mL
zBc1#H5n#h<>;_%uY{kIM^U}HZ&;z~d)q@Z2)#jgoN<}v&_lF{QgJ6W-p6|4ZtXFGD
zY&jMfd&znShF&WqZfKHZFT&Mk^5A_?@4DO-7asX@rfxV(xIfjGQeN@&%Y7FBUhDz;
zuRR5HpB>C;h@iXvdvfjH(;A72GIV<(6kDbj_eT2osxm|iC}$t(ZK#FG(9`T0pjR<S
zEtSMwDc|eoS6k-6<vS+6VKdavAJgK{NE{?<@@#y4w}}GCIq>%e<ihsEODx(Yx_KtR
zx&j51G2D5oDu^;U^W(VWqaUH}sU6t7O|AoTn?QXVJlx0&xDt1q;*&^YySdb``I^y=
z**MXb&SxPg9G6Pp_w%hgqv3sk2MBO*+u_d_tNhlS+hW>)DVKJcYeL5+%?5y3Lv~BK
zE495C3>>w9DDXCRLYF6HEUM5ZUQUiuER^@GYvmyagLY#8mt>pyI=wP&ZLtGt2DXRc
zF>Bsa0lTqcAcshmwuE7kWQn;IUYAqs19IU9fCTv~=Wh)F-H?^8@e$-DNbSMU!@~j|
zZGL&B5QY^CKV>)0*t|O54)~tqt&z_2tu-K^fsbqX;dtx!+$U^p@XUBKU<r*?N-lx$
zxLwNagX{50N-eR4U$-J2NrD26ANFcf5AH~qR1k^!cg0?eY4Qr&jv(HzGCd};DAH&q
zjF#Jyjl*Q-oWa0nuz_woCmK>=KrR#t>Y`J?`E<>IS$wLJCUAYSjQ>?DN8+>W9(Ubr
zu*k&3^0E3`&{29-2C^&-%l7t=8wSYT;~U*By*Cbk)+e<zPhTLK5(u&LeNCiS90(N3
z_wP$(j}@^QqP7h=0oq??>F%XvbjA&wG0`>k&o^PkWT;W3dV8z=5z<V}eCn9*0C($9
z6?|V#)ErfP^MwhfvK*<0|I(u{)qKm|WPl_(2I4L$Q3&{Xo=WQe1ml!INqAUL`s*4n
zps02~0G0uZ<Ua(=fH({=uU(^ZeP#orVznenVSBysZ~Jz!-w1LUpm~75mAC+B6o;96
zzc60Q3XsKs>&s&R16n=44*_|6ElrH6BYD8U@3%F@LA~hPBaPl+l5<yvjEg@Np0u_{
zKyd&gIMj{|l>?p5eez3uA_yQ!vtqAY8^FwjOrDj*r%!6~HWRlF0EsbRe^9g}8Ap{k
zUh<ci41tz5bKc!f$7x~)DQTe9R$4~o9#*~`+Vd_57hzP1m7|G?M2f9Tek1~6K!EvE
zj8H-#*aZp7tcNnhI)Is-0UCS$f-y-6vp(fCHdVBrgzZQ^0QRUeqGlVmoS5y?)fTE?
zX${MqJ2DKqy)I?mP#BUvo<+l#8aawCkb@D>7QVdmrt5wDFmqH|2VOAQ&2%1PpNSG}
zD)T@fM%Gmg8vd<?bdmw9v-?R<QAJQfSw{02M_B1H(B~p)W*bF3Q`WhDhP4*?X)w2o
zGC|o*n#5kGW%PgGQ_gYiz=U2dnCr%#hGG)Ame(3Pw!iE@NYh4h!L^!rN$$*XyE3vi
zdTXjc@rGo4-AIeylUXhPbc-a_>c_jE$e!d?{OK!z<AVjYDjpFE)rQB>qF9z>h%%_n
zud@$0^n=I>Kvo#|xr_-?W1KXEPeVeZZP$gvzCUuEp`F*ZZcj+zQl2w%L^F^hS6=m9
zFNj#OqugUNsgw7jSDW`4ed87yxD0EfKb~=sH6bRFw^6u}fZd*v;CddE(`6+j8R-^q
z<L><w2YT3T`Li{R49fbbK+jC)Uz%SH!r;B_vQV5bSOA+U|NU;|PAFpr<Dz`%dFTKk
zDqY_Y$E^w`olcxT;xLv>sCVri3InoNZ%p$(2?;9aFt~QyhfaW|{mh#>{)bf>kfC8-
zSo=)pZ;tKS_MGazc}-iTqf;w=3zLHa+pGdnP54uWx*$U_bW42=peTsF3<aBW{B+t;
z=n2gB2s$_gnh8=h1(A_@5Ej~%$C8Orfur`y13&NX`i1KcH<Wk;qXuyfrU(0t&lu5{
z*oTrVY;t|q#$IR|eFx&K;|NpfA)pj#8akB-T-W1Y-{LUb0OF&L2oFyl?~mR6iVy#=
zWcRVh(rk08n$hO@;#VEP>sZ6F6J$t;|3+2jeo(U@!z;q{UIUC3DQv-Xnh1#Yn}e-V
zC1C{w26&q;NLItYWI7Rsz`EfO5KjU&<;h#rB0r`4m0}md7fEJuuIdNzD_{7QSoqu=
z`ov0#o-183a_j<|O#?Onl8r4AcrppP-IWucOzNZ|AI$Sv!o28za`@xXSG&@%oFqpo
zut1cinA2wg`yH@znxp7lQ+dGBo}Qf~e}td?H8ZK}goeIJVOSAgnm7&P7FJLO!HH=_
zM@EF6>Yu>DC>YW(AmewIAA7N0lrWH-&Sg~Nvuhsu-hH*t4FWZ%j)+@Sryzw3xHN$n
z(D|=MUe$bH@qU8P9&;)0ja!N2@fXflJjZiSc%vji%t~1&eF5+YZS~prAcS)ri%TV<
zq_skgrQcIP_aca5aL8v|TlAajN8FXOe18zb@p-C`i0J{dsuQF*IZ*Cck}eY__W+*A
zBgn&N5C5Z=J)}@Q9&=k-QRi$UJ`NSEY&n%JyrpHJ-wn1~lj3Q8em`5RPW09F3Gl2%
zM9SiQQ6y_(rZZind__dY{y^+tc%Ph>q4jZH?`A-FPW8j~U|X%~QpVfKtW$XAHkPDI
z2<=M{FpPJ~sgX8~iyyFhQjUNw1p_=;-<HuQ56dTYP+P^gn7<ARXv5hre_{F-$j^za
zP}ii+skm>x-x?ly3Vr{=;LQMYFHl;+f&Jh&dv5l#+Gfs(&jcAawPg-C+bGS(d$y1v
z<bFw+Nw~VMOlIr}VvQr5Td`$o5nzyjHx9jLyFX;r*G(57h2d$SA|Ab$?A|2ce^P1?
z2ZsO~Wp^#yw$PC&Vb>b#X#zQUi@ni=I?4lLs&nwRYQloJD%ys{$X-_8_{1sro{sn`
z@kHjz`xTG5Cg1Gf@S!nTiH@aS*1XtP)FF~)%VtFZVt8num<m?a3S--<?PFaY$X*JX
z*Sxv+j$`dnu#ao|0e%mKqnJ0tq`MxvdlkX0%g}NaSSJDKh#OQ;SaFdyRPw__X1RR8
z8wLaM@A~L1Yb2=U3Xo+nGdb%cpm$0GIo0p{=u?T?kofn9qb!kBLHKli7`T)O_GGE4
zS|OH41}uz(HY?_(&XcccWYVkL9tip>QH=)<qv44KR=HKKsD;*68aIkqJ10|w<q))|
z8;p$jnL}A8a!dfgi1b$R*rQ0h1TrU_#ihJvoWh```IbBks){&bv<V)5MZks17o13K
zcXU$-ow`BXDf`%147>ZM(zvoyFk_%)0x1yzQRx$+A&Qv{6mQx0>Yp`{e%n>8d-$sT
zcDx7y2}^gZkt2T*<B^+8=Br&&u{0ba5q?EJln3H=6i4K=TnlUnyVyG~?!XU*VH!a9
zGncEafPN5sb4?cXknx~MJZXiQ*HOGj1-e0%Mt-XyK@PFlb-DTiJFI;br>Vp3w`*Qh
z+Nk;ASxVH59`5ehD^62DyNVjJ?Vn0io(Weog%Wb)GkNYDe3If?m9N4Y6XoKs@T3DX
zptF_K@2&zg9YjK`vkroUh(IwMr-06^fd5d(hc(?>b}?oWs(_IAR|V@|(nVecKO`x3
z`3hlDxQ+|F5V($u_;nQr;rZ?p<8cXsuGjvBl7HHS--0GEs7#&*jzBE7{n{23Jo1l}
z1GxjhzhY@$Ryss6q{KQGKV1fpw6S<-pur`O^iQ{jfB+nU7MQ+aJZie6VsTqt{>OmU
zyz497KiQQOG95uzNYIY!WzRtCak7M9ipU)Y0#t>z7>K{TWeL-Cah?8Z6>PoiZB<p7
z04p%7YoS{2C#eRlfU*!TwiF2jA$<rzx!~JNhk`@wARJ}6h%)65)h;ckCGiq5gq*@?
zV5rV0L**gLETyyVJ)PO&9%8A5n&~`1LSOUxF;TuZgcFip0sM}d2XuhmUf)J#uFKT_
zR9Q7gIb2Ow5pYim5GlG=2`m~&<Q1O^NAtyH032Z{O`~XnSPSWFg0vI@$H{z?Uf+2$
zcd#-3=;50HoA%JRJe!kmhHu({U7pk$WFIPb7kY$$|D^_fo4B1nyyN!SbFi0?abYi5
zqI!tp#7WaaFt%spy`Cet35wD(kF08?0l1|n6_ODr?T#A!We3H$(>QzV-9&!?F0q^-
z`zvcY0&V2_Z1W95)4-G-j)q#3(G7f$B`WHQHKmAShBq?+eyd`Gs<ghHYc6{-@2sQ@
zcJ<%Y{gHUUg&L|hl)<kUluQaIsi6jq8C{|GjIFxNyvH3M2D;hLGyX&XJ<H`oFhFL&
z1TamGo0nnRt=G9CSC2m<UtkrM0d)ncTts|z&z?(gnhTg!y8=D>82A(zWDpy!y1u&J
zCkKeFdwsNsKke2V6F=Y{Fk(K%kcm2ciLD9*#_!<A=a{`5?>Y7S%Zt-}*^3>;A9gC0
zZ2-4kFNEOd0_uX){B$&-FLOc61w@e_lcH3-02sDPbn<z1=sG#JA5CZ=zyKvJnA4FE
zbva3|t@URDAZ)OMWKlhd^nx}+TsI3tQNkV^OvnP=7O+1~gOY(qlg6U{7bid*hT9r}
zi3KD-&ARw#>YW3bf<4&MfZ@G$TUNn9;{WF8F~`um4y33?;epb<!H+h{W4LCXa*L`W
z7bZ-*g0^XYND^p<dqeRRI05a@jV@OepjOf~k6YQCzI@a27(|QI(Id(?!^ljk5QY_o
zQF|aJ6+_J4v4Kc`;EtI$;d&S5#g7G6j%ZweI<E^B7$ROEE6ED3-OdARt&;{N787{<
zY(BGK(T`U4M$9c4DoMV;>Af}S11U8L=N-cNa5Y}gpN4m)K*{5%+z0x1wIyK5gd~(_
zf)_CMnKK^}7Tw%f7|EN_F}Lhj_v-)-dJj07S|%(hLHdY1YF&}k{S(O@#OgjQGucxI
zAh2IR2{W!XSFT(!3>W(H3V`+~6-dA0V3u&T)Q*e8ng;hvrKG5S?e<`FadzBgj3c<E
zwmr3M*AkdMCE}K~EC-p(1A|7Z=#W~yGB|b6_2~<AI!#8X>O+9_B~MpUnwJr1(mQQv
zYJw*)hH3K8l+kq{knG+jR{8VU9g~gu)@u-eduZROnxYhv{R5_W$N14Lu!fow8i3Az
zHfT95ww@m{(u+$i2LHSP@=d&e%b#=WrU4wld7^AIPIPXa84=Qt<j^lavN)%v^EMxh
zA!AAaFn?v9{Px7{J_zyw)Phvth1R^LYpn7kw6nE7m2o>g!2)ri<+rw@g|Ta|?ihg$
z??WGW`r>|_vn%(--O5$gca_O?+CCi%?IB>q?cFgJbp*Y(rtUj`2zyLzxAbnOK4Bk7
z7kgK+<KlR-ksBGdTGULkH|j54Ic{8Sifh|1Aw~mNCgctkAjo+;6h^c#DVg~KfcFz5
znt-Goz;oVS4+9D-`(ObCPCjXz1D%52z{LM_wMuYkt(`ZKoOn*p%&DhxP8E849w>@a
z9u)BOPB8PCx`h=<GI8_tu^7`JAi{g7anBhg^`Sij7d2m8Bqk;kn@DJAWCmu5&PM=f
zc0^I@-yqt|B7!#DDD?FEIjY6neCuwY)2G*UwF|f<`q1PzA!UmiNt}^RdGk46K>H&@
zg!EY?;!)5r@)O9#-HSh~?(CZ_Ax=NF`{szLF&X+>>G65UjDVQx!$TU75ajLplYw0v
z)?=Paoo$g9=52npxH(ZC(lY1+6(HqJ+A-4KDoidOkQGeOQ{1y2HrOOv4={ZF-~)Jl
zx?fsUh6QO{Z|2Qfo}M~3V<D|C3J8cDCM}{^2%*LuMv%UYHG95u60zvLG4=w0)HRyt
z-gckly8??FRzd->5vNZ%d;C<WI(B&-q?=HtravfSy(z6gLD>zmU>GU)j-vSe0I}Bv
z8Ad>1R@8X~JBOVTHu8NjA$A9rK}3oYoz*{L>I+Dh37pQMFlhC;i9iZ|Jt#q|{plZR
zcklTAd^fp+y|ijnDR86Az1*bUmHvl1ab`EQN30!IGH^W1czc~hx=QcNr0X52nSLp<
z33qhK?=5#AZvXmDI#{-Z@R$zK3TR4*it0ZAQBj#Dv%OjZ*Sl9Kz6GpIk#)XlbyoeP
zS1)#N?D2lSj$DzP3Rom27ppoYERHfEVr)E=Jit>hp>@82OS$q&>y7(?X4_AiZ61?V
zMlQG;-4i`v;%w18#d>H#ViRkQXR=i{!CAOp>f|?k$w-bcIcr8pM5x2+VQi;mjYdrC
za~tvS7g#0{DYt;ehREeZ3@qJk03*}Ao59AIC<9V-Iv7K5&Q|X%cQe!YL3Kw}cZj>S
zm(Hp)_Gf~8qNzTv4L%qDMUCeR(C<f`B!S)hcRD|+oeI%!hj}W=H4J#pzPnbeY!}Bc
zOJZ8IMiKc`6d--2IyJ2=xP04I>$^#-;x)oZKcw6KwQr8Al!An4;Lh`i@0?Aa-wDRN
zwQQ}`qK8wURQL6qNCEdShY=leP*~s&xI-!h8F`9y&rMYt<tCjP8|~{;*GI<~-#m($
zcwPbT&dmO0*9>?w1I#i8oji+3Ou}w<+H3EzDu8{X(|vM}HYf4t-{{JmB84)j_0prj
z)L!Ki@n|i|{jOo+roQE2IS5xDWDe@8R`sRqAVQB5j=B*Vc-P9Y@r78=l&b-+EUFn!
z<&{bW0cvJYU|e_iSR4v0X}9FLa|1|G8CBXNbkSjzU5*u0!wVxK)Oi`Y$f!rirXk3{
zmL%^M#H>l@MOXY85LOIT)GfWcG34+W_*yB5&J!F$yd;YCx0I%yRW1n%@=b93$(WU*
z09j!R(toQZ*GA{5E8wNT1s2=j-at^w8gs4y50s6OfCyiF1+K%&D$E|On?*r)dpuX5
zK?^(1O(&m`kX0R0cBg_7JN}PdMW5&d5Z=Ihn&BUZgr2%w#JeYDR8g9^G3Xf1S!OEV
ztM&lJCqa|A;j=)aE5k04EE{I1*OOmgJ03fdR~1t0{EhO}caWbb4$`Bl=#9*tl>Zjx
z7f?~5ze4LB&&nC_#;6_J8DqsQW!e*BQe-c=Z>0>vdUyq&d&_Qq(U~G5b)xcg8QQR`
zK1Pj6kU5Lg%}tINR@z4xFz~uRB>bU83%pN16Hkd&7QVYLU;b#IzD2UuO#}^p=Ix$G
z32#}9)*VgoX*UQ_ft9FF2wXyZn=kS#(9^eW*qUfv*HZ7u3AmX!Bzl#9p7_}Zt;<PD
z#z{?l<x#XK#zA7s8fo2-`V-!Gw3}C>RdCRECKRyDst~0dczb{(<7p;v2$G{14UD^c
zSUed;E<Td2?CeVxvW-XrM!qcIXHI)FZ@vZaXhBu3ax4K;I64FeJBEWO2pFL#IpOt;
z^2ehCd=#mU9|112?6D4gg=1HQ%#R&I1r1HTXLqDt0WOcBTV5c231NXI_56u?`o_|)
zO=ZE8*Koq2_FtXz3(R&ZjP?;9*C|DvV`r>(c7=oCkr+Y9h!T)JzhB}Wijbk}c)SqE
zYOzn@L^XewM2|%2JEs(qUX@NF)&u1BV)1v~5=n_j2%|y2FvCQ<+7AmU7+rIn#k9>|
z0l(jv#HC(6MAQdW$lA)t4d=iLQlbxhs($3Zw@>8nAT=fymQYkTQ|A%@kd5rYh+<Th
zm_rxI%h;yRAVq|oHN}lhyi|3JFx}IfLR>3jo2fUD<OT(Wv~(OcNcreO?-Ii=43%_4
zAwJS*!qd>MdE;?&A+4_-=e2yOoF#NfVw20g9N7N7E-IImi6=$<D{YF-<((5VKoaX=
zT(^4-i@c>09+~ch3ODnEr50ZS9?qFYZLbx`s9>`q<v{P2$nqIO@N603R1pV%92t@=
z8zAFi1g1is<%#q0B5}%=(W|$dt9f5q367KnS!<j+XeeEi3$*J$>WM7kB|PMx3zeK3
zRjYsd_|QJZH9|<*tf(LYheCl2@58Q_R=R)yvj}5i&_n+<m-<DFp#bl=ld8sT%A`V8
zU0D7nrB0@4`%shh%oC?H6+u*`In^rRA;}%u;D>n<9UR=!k<MltwYbSff!D~?;v;Ac
z5HDRpKC;O!e`crBRHtQf!G~m|8rQ2N>Ef}WEa>7B<`9=^XZnR*Er|k;>GLOwAmtd+
z!EEvUpc}N2Qon%26nS_75^Q5;wRAm{<thbGmC6LqL5M<9#Ob6qdH`m8p!OGkzYGuF
zu=MJn={NgiGQK^N`JUKA#Sny~2DTrEDvtzO7vG8-VL4M>-!IY0IRlwNCyh-Y$>ypL
zAxtIW=<}nzG&mM+Wol?z$=TP1>6G@Ra;(L1Q(LmYln|Ge6z~W$vzu0Hh&J}5jN%W)
zJp<X=kDf3?Wjt~Xg@ndpYZpgrV`r^F;Pj-K>p^{DBHkO1ex$F!fa8z$eA_=GK9-?&
z-22KIek6vT#Lf^N|6@tHt;umYmtMJqjPzMb2(Wf53zbIt;SgH2oFkKRcV&&~K4G_L
zI7rRbPPNG%!RcOKuyoJ%1a0&d^4U+6+2r|s!BZQdqMbSVLfli^Hd+pRVFO5ua-BS1
zd+zf1XiGi%1<?MBBs=dkf?OLZX1>g$$p;?V3C)wBtV$WKnHCX?R=$64GBaRAc2iZ0
zAS7bmT^Dz0F_z9BRT*JeBKWeT%K!2#u?va4KN3=YLa8cJO;C~KoV*p|I)HBS9+@j?
zGr(9@1dk*@nTmd$%GkDsUc89RYzCZUcPoDPNxrkMDx|iZdIjy5@y<7VwZMjMGL%#m
zWJZa#R;ZL#H5j@Q+^kkS8VLkVxX{{V-~ABEWQ#Ufl%mOlclIQ=&yis#pLW3^F*GMO
z(x*^Wg#}ECf*O!g2K~gCVdC13K3=M;YW;#&+?FDx6qyGCwDGNl_ijBI6Gb(bfJ##A
zgM@1Pxu#Q)lBLdz6*?0kgv_BnRT6dj>IuwCK@kX9RZ!&lP;wD^y@rx>s(F})Ry6`;
zM+$^g<r8&>STG9o{FdY8emu%VGHn`(Em0~De3v%*1lMu?CYEBEwfos=K(i$EIL?ra
zr<1*E+-`~a&{)S<FkZ%A6@CGvQn%}9+qP^t#EFkJoaUl=rocUoQ4ge1#ovs=fR5SR
zF4LpWO8fAheq|k`giHLa9X~tVB>TXhrJz41w-Stw9r@gMF^nwn`#>g7Mu#|0%(h@R
z#RYgd7ICy>&O*K@*<tbT*{JAP2nWK=Z$Ld1gk7W0ZP><&EzuCgUk*ub@5rd=Q*{!%
zSP-3TIpLsOo*%bv)%3%)3PxtcFs+g|I@C^y84m@e`RJozKWnCp30tBwg_Jp7Xtlfx
zHS5sp!1DD;w?NC{w@`u20!l*eG6u_{Kjfd^bH@mY|L|mhhTjCC(mnglEA$FvSv=3S
zBv(4YtvcjjqC^?N@bIq~9k0TU%GFse#YU|sG(U<9zh^$MyyP9JQsprD`XnUTX@=>R
z9Cii~3LuGHhT3HH>mVo-x_AykHbI2Rl;&_`rX7I<t8T7iqacDT0d^+;tMjYQz3nQa
z;dKQ~nP!V*hFT!<W_(gFw;0$w-T$uoGg>Z+M5dVktsLzjt>3{-wrU}!f<RItD(UN?
zGLcTT%RnlxZhYLWq4UF?I>R{l4nv{_dx`~B)#Qn8R=A8w@y<EOEhtXEZ4iE|UEQv&
zm*?cevW_93jy}w~W|d+K&)5wxWD5b~bdMz6?#p;mw#YqSTM$k(=Mxff2bjSKz!)z;
z3RjO<nc>d|AnddVPDPM=ft+?~O;~rav=%isfm4b0^R8kLis~E*;fSHEA1lrC*FX`3
zzd0x7JC=hq>tQZ@SHhK|2`&$!jUVe`#A1nw?I4!IbqC=u=e9r;^B8$PoH4SM8+g<`
zJWvWHKS9hOkkGP!<wzVv@Fnb4j&)Tf%&G8cXiegs+tAy0i7GVeA0#m-yZ>+yW7=P0
zP`4m9Y#J_dP%8DAxT$IeXPsuP7_>-`COzswtUb%+^#!tlt!bUJG2k1x&Xf_cQAaT;
z#=2sQ(2olIHE0BByH8K|M!_gEaK#q@ee~yCvt(4K*-6rP{F;)w$tEtNGU|{+ccs1V
z53B0N%CEa(TwmUh>$>AUeGj6PW~{=zE%XUHHa64s-V0(0_wfm-FpfbOa0JIf^|^@C
z4yUO9=8m4p2m8s_aoMWQ1dr(_WB|q9S;~?0*2xq=_rjFynul=)PA2>SM5L1fw$1F%
zT4l3)JMM<WXg+YEA7!K59=1eQY1y-t;;L^WAiWs^=u<*u<Mi4fNs6)svpZBLgG)Xi
zDhbkXu*sO4^6$caQltz|@oX80X@2^0r+FzDDNgg_lUN>G<QmctMMGF9=N>WYqUZ){
zDmka*m+nX_q;4(nNff$naT_)6_OAqMPitTa#pHetja65z=Q;Ac5TNMGSpK;{AD6`S
zVZcC4a6(_FR+El_*U%{0um=;Rg`{UmTsrPS-nw?IRAX)lG|2FWz^NOq&u;XC3PbkV
z<gPWH2C>u_pZ&Yt1RdP{&p5kdWTf!y@cYGT*u9vQq_1>$dP3jk$8?;9EGMOt<2A|S
zMuih*l28z6VpV8=wa}HXSJLg(l)cUBLUupg!u+Yc69_lC6pFMB0CX$Sc{`ae0p#3T
zeIF@M^kpoT#$*|I+4_@85rvdX*&3(*Q#Cdi0yk<s#TSyOKxyD}rz$;f!@Y2jcUQnz
z#TCCbI=&-KUc?;h$~;xn%nfqqziRM&EOC?`EVL1(x1bckzO&*Ni(=L)v=hI@95}+j
zvrjyP^X|P>FxJIcje)+U3fh|~V<EQkIAuih3$0};OR1o{gf%4uq^F{MTG7Xk$Zwc4
zkWnfP%vz4~z4sA{=`_5DP{49kv_GMENIgztKwQWw+>>5Xop+pROFP%GD-oPIMnF$!
z#qGSeav~R}A?@WcJEK@Kj#PUn!Xe$)h%$mb0dV|?8V+WJ%~kV7RB3M&^Y;eo0c{_X
zwXa-mxP159^N2)SRKQUO1QeyNSc_P}V{L%{_6A&`=!5iXssS>Xj3Zq?$2dHSF3cKB
z`+_mevsk)b3NO8k9P?u_uJhVSI0J00II<%>QvRg#SxSp%r%FO8%NWyki{&n#Awl8+
zkkbrAglCg6C`$FIMM1pL$2>79oWGuNyJLC8_G^(C`FL!;E&$R3_$WeI83sGAgRXae
z#MmdI)>V}o+VKnGuSmUuksU34irHs364b3PuZBm`1f@=GG^a2;YWLN~?XtSvQTk!<
zGcQq4LK;guFM1QJo3ZM7<VWV^L@nrNMgkEZId_l*JvkN*q0thY8g$ENT92SyzNZt(
zY~`_-uFjOhp5hXD6x$Z|I#pxqTL}hZ{cgXIU9?>wj{SvzTfHURK4X%J{NppCj<RBu
z4z}fmLM2>&xl}vrl9)w7wR!RqgY+sGbUF;-_mQwj;|4+C%tKkX#41mEb{-x-rE$hh
z#@+p)1nu6(0bN!*p7H{SoZq1V#Pp9`4(OGRdw;@%#2BIh*nAg`wsj#g^d}#!*9jDk
z8x(@?TQbUaay#c?xXcwwLSbEjI-R02aw=;UmZ>?NXlAv+lNnJk9o7tjS2k0=yOZ*X
zR+gJ;p@pgPaIIY^vr>+U*!%rn#2i5+X9UiDOjX4|7WeUt6ZzbS2zU|p*#t6jZOZ$O
zCv~^QX1k+=2Btv!8ryT&E+8b<@f-vBO57+MV(}0L7OJ?)4Y8b|<QowyrsVw0h%lcV
z%1M?JS&OAk-8uY^*CF_{iSJ?GzAeVdi-2f2Y+*gA9|o<-NEsj;q(<Q{!xWzk;)R3r
zNctgKUA~0sCgKWIyUUhFjM7w06a+++k?<M@mO5C>=a+Zt7+8c)v{m5p<TpySIL*gs
zX^NBZ*q>vwd^#Nd7I4kb^O!U0Q2x@cS?#nJlY*)ENrm$+UD$h|b<Yw8F3VFVuqeve
zJl(rFv&#<WXy+=U7$FJ~X>ph<Md@FmMy!c0Ab#*blM^5<3m0$KQBlNLW%=6+<T{14
z$Uoq2S4wU-36_fKTzkccp7Gy|gGa{7ZRxWZjjKQL0{YpKkJ7BrP~<=-tB8X=tb~P*
z%85ajZoU-cC3Qba?sO58S;D25Z@(;}A1%z=nPe>sCt>bRhut0`gnt>NYBh>4k6j*9
z!05zB*+>z()x@zNtV{?I8h6XqQN#@LRBH1%+!-$9H0k;RqTZA_FRGsx^~B21u{O5V
zsWtJ_Tt8FtsDMY_?CVtA1^G$x_wAAs&&yT6tgt(2#nT6bKtDfBV9DbX7kJgjCr`w`
zMW9M8f4itNj!r<pL`i-Bez(iB7pE4BNvP^Zx)2$=T;LzD!k8jzN&}bTG~!t~Saq`1
z)=b7wC~=oSb~z@OvZ8t}yG0Y85oO&;#aMXKC}#>|mL9iZ>%_T@P@HdiKEEm71DEpM
zA&@w6Fl>O)nG;g_z$+UZ>zd(|eqMS;jLMG)93W`6$9+}IpQSp^jJd@berPR6b|Elo
zN_m=`!sHh7{gQOX@IaHuC6<=+9WiPEBYcKaU{_+LxaS@34^gV=6o+L;XZWDX%1Rxr
z_Pmstq}>=3*E!3<4{!kE1#gfB8`(_={L_4`odI#ztN?Fry;!OFvdHqjiCJ(SY~?$9
z&`~kVsxX>2x|DbCJq;Am+bQz!$-BI_EJ=&8iTEX_w+4%<1e4)`Zg4tv0ti1#S-&J>
zQ1gYO9L^edS7#|{QaY+ifO%DZ+C0hjgd4k{|G+Yc5AGNL$gqSGUlPH0>emG@&*;%|
zM1OVbk*qE(#kG+z-!`k0RGY6ts~GcxnxEP+b&KJJjaJ6JA?CKD(+2ND^dj4AmeAI5
z?i22t*cz9E9ZDUICp!L$MNxXT#aehPmOLJoFv*y*?j%of^-L*cr(Oi~s%TlMRSlIa
z)Nn%F?1k3TVmP&%!b2>cPSv3~97)D3wcyv}6w*+6>lLE>*i<_ZCO=RybWh^N*dS#e
z7b*%L&$v4@7qNR0xRw!t{X6f8ADNbk1M_(RB~IZT*Hupqi4jFLPQ807k2fW{6$m1i
zL3g><s6#{A4_u58b=Wg-ZgmUVxFojcGZ0Ime*C4n+!>QF-=S@WaO)=uq8jp)ZncEP
z=A()|%S;k3qDtydW&lvPIApxSTrG^MXNXI6THr<`Fj%=uNl)vGx5UosW>5KoeD2Vk
zq?ID_O=O5a>+Qy%o|lSsx&Djj@)fA8<7R49r+~1hC6B?EQsCQ+!XUTzq^7$)P*t1w
zSuG8Dp$hOw<vt~LtAMwP;rsJrgwiSJOJ4Tu&^lWfY^m<oeAWX8*CeLs7{QbgmGO-G
zGD(sI&<}ifm+|D|2Dz^XMdwetJKqKmpgpyL8QXuU%xpywE`Dlmr&7W+Ks|g9FTM26
z6vb%nUR;)>H;)2$?dc6BBAE{_wWKi~7r_rpU_0KxNPt)?;xV+7s;FCo`z>|Q-QoeR
z2(DZG_`m9C(N;r$GS-^ymGEZjopw$WMB&ooe-!$m<$ixJ>M<3XsD$P<F)Rj|t#{@q
zP(dg{D{^+jMTa=$NDeP{D>h(EofU-AQ>2}Xs7a%()3Z;nP}HAY10;x;^uId&-qWsP
zct})&Jn0lFHvo$i?ZU~CuqHvRR?94wRy`$V)`C$SEo`$jmKoiJ!c63!kllY^IfYVG
z-YGV;s8zx|9ou{JGdQvnZ_8Q-A$1C_Cpg(Da2&};NoKIq(AKoj7qzPKUl<6@X#ji_
zAX1jSu40<}IOf3E;?4{UW>tn_W_DCQ52A;}UMd-qHw)KgZl)|J$nz2=`PeXRvoKmr
zzcDDqd;KzvLox@|hntuKMC_@xGfkj2eD9XxD4IUpyGKnBx!Oa4Q?y<uR>XWqq6(D}
z7yjzOd&lVqR5l)H<fM0%RUqSnK~w&vg|=rZVU$9Fe|{GLt+=jk^|K;vrLYZc_5_NY
zI2IqlEj^_$i;lHbsJ`23vDFmy35!Bxm(Q)o=<?UG50$AU&<by@&a$i>u1$#wxegGX
zjb^K1Y1$<AAsXSuF7T|+qM5J^A(fN;Pa^Di90$zJXccGRXlSR1+P&kYRv8|f>rixh
zo{)2K5)Ug{7o6Z*i7jTLI?sMFCN{bfdEpi-O95u97C?Sf{)#Dupn_$rdy0~zg8{BI
z1pA!~5Q`G@yCt0B3QY}oq*32fknXo}4i3Q=b+D%4O%lgqvKuMbvuc+GCXcim#N3~?
z!ACaYW*Uj1g@=0HErRRvd8NL+CaN-X945AJW-M$+=3!s-7`Xrf;jkFUw0#oq_u)L3
z8it46h*@q)<$<b`GNhV&OaL6m3bkvYoa@lX)p!g4i_L5qKZ)<UgrV}9*9OSoFme%D
zLS4N@dabktQNO`Zn0})5x!9k?x~_h0JBX{Hi1TpDbU@Q|65_seDw8J)pVUiDJy)%Q
zP6gNDS{eTic?OZc&{|(0Z(~r7e&8`EtSfsdv`eaVFHtbN%5<((ye0d9KQco+N0#E)
z%2w`oi{bQgOLq%bclh4x>}0dIl~=&-oAIX6y`Q_i_B9Yl2I^)Zz_(w31g5y~9^0=z
zWC|s2&d8IlaBryjLI1&6dlENOH;XRrcU(dOg(HfK@!qPRPDSpPP@g&xM}GIWRk|Su
zxRUuC7IFx{AUCMc%6}viLd}o*nZDdGN;wg?9MpfI;WS&%&wNn&R9~!kc~q7?f=wI>
zosLBKrM#6GBm@nSIbRg7caJ5grwYsG1N*75H^FrW8oZ^D*z$p}1S1{+f17Hz&Kf~b
z!%|KH;+#V<&5SV`EEJd|dV~@_0yi}}9{h%Vn406nQF4g1r<qatiWXh5kWmQu+9B(M
zr7?mFk`w|mCSf%l*aPq-40(P>MtL%RH3ppnm}x$r_e)g2m=vBY3qQn2VDw6FfBro3
zg?gVBv_hSRNcDy2oDXBUfqhK?BjjqUqjl4h6}prFQKeU+Jphqx1`lMyS<|4a1XIy0
zI6b1KviS=Cu0P1_B^Oyhl$-;wL5@Yg4MsV(Kad}XL4}gpmdS~v@z0bDou|0LQ(E9l
z5CpXB^leJ)8Rf6u&p2C<nKMF&2pj3{n;sIPnn2+bVnPlenKe6V)o;HEWQCqa^B6az
zS~N8ML`wq)Uo7z4aK$1whV&A<Kh%t5jt9zTSn60j1_b(<#CS|p>jgM$82Rng?4~vp
z>YgM3l-rJLuT-*erRikrSn8lk$0tfPtH1_zz5fBkv~0I73UEs0d!kBjR<#-Veclm_
zeQ*F&*l{Y+IMNAzl=Cg&)tkqdD7>gE#|yQegV1gypDlyjY~h5S03rJcHo{?JzzQOt
zi)3UO1oxtJ)E!rM(-tv*?F2~y34#`;AT!Q6Y7O}X20neF*)v^nRHi_R14osRhw<!x
zHusR|N^dB|i?3yXL(1+YWOZvbaf)5kB97$cYLQ7mPxuDXOb6^}V%2xbHX=_Hx(FZp
z-oFz3F&_}JqrNR>)^DjHuVT|%yhy}&sAxGwBP&$Z7{k-hGmprktZuZ`>#G$h(_eao
zqTLkU_udU8r`CfMEyT-k$&U=HG#LZex<GVF#IJD!2Xg2vp@-VoP_f=%NIp|y15m%?
z2No(3f|EdEJ1xy$10fI=f@J2v;|l<8Q=Vq)ePYFpG+}Kh1K*{v{t^t@C*LR#W?N-1
z%~l{I?9k1TcxHX;<!z+22om|b+FdMvNo`iXEi2YqvXrc`ixu0XNeLk>zXmd>nt-gs
z7cQu2@%;ulG(Tj1I|v=`AWui_5*K}_dqI;1QWZ!tzTGD}t|7P6;Ue}@MZHtwfZk4>
z5D&gL1D!(NZ~Xss_tsxguWi^j;0OZ(4k0BVF$`S;2nf<KAR#Rw(vnI^OM|qeq_l*h
zgs7y_4N@XVNDGQ6At<Ok=Xl@u`>gf8|G~R|*lVxtIP=ZxI^#G#CuP|5p8fj%b;G;l
z$hON%-++3NR8+kgE+pu1$81&Om&CHmu&&;!LjcoxBK+C@d)(NOg-k8b@%YyKO%6e{
z*T<l7)r*6R&2hnRB@xQ(YgCt1K?)VHDh)PV!EjqpURB70=m3`u-D&Be?er9hN`b3|
zZD1SFZMx(~t4}16$13ZybuDRi8Wh--?1?NH>)6DxjDX%bsEC4(1f}mXRTUf4&pE-s
z{-YrH<WFE9`#nGNfC45tC*=33-dbjQH8M;?TdFT_QsimoxVwN@p}BFk&Vq!Q59eFk
z%(n5!>7#|fx>M8Rdd^&$)V#}aG>63C2aXWGj&%5VN6xs()ffc^6pf3;Y@Dkf=<lo~
zFp5c0m4L%mT&+f#-?U7N(J-P+c>HW#8E=U}mp~H#Cs6!=0^$bZ>X8lV_Q%(kS=8^d
zCT5~JDxL7i3^KKh7*f_mS|5Ms-A`|CGx^DDuYe^upf~a!Ex+*=2oBhDvD^$}RITgV
z^UbyQ1CRC9zHGW}-u;X%*dHeyvD$d5;h#;>O+%0wJE_m%lWF$b0NY$Tl-|aAiI+W)
z=e&~3e1rOccSQ0~Y4}}}HV21WPj4FGl{(jI*dDiop>WcG<r4>GQqaRB$ozx2j(>c)
z$2{}W&3s*TGe(Am^`6O%yArP)rXahQyuH9YC`EZ5`tqNsbkd9-8!9rZh^Q8#eaE3i
zaz#ABqrH^gS!CZ@TzLuXoMOU1`YIR92l{drL_u4K(}_?%jJ+CfmM&Ea29g5Mdc)nS
zUHF|G_8cRz@L<9Em+sD$M+?MB>DSY+dJLTQ96vce;(;kqJhAhSP`?eeS#%{b(k(^5
zErZ7A{-w`6uI7|+-iVscQjV_Ro)+gjtMm^;iNo2iE+7-NR0-BN781cPNi};H9M}en
zq4j8CI_s2~TKm9Hs#|SR_|j;u=FhXkTP9Q<k?NCdVjeR|)0T|A!p0wn7nJ(4aLF+>
z4&uy`jLiMBv#iQu{``z{v*Q=pdXO6XVDa`z)-~hcWlP%AP2Buwp53wAm%`~0#1TZ|
z>XFt~#KF~7vr;3&93`D_i3{O4p3a6kBFdrW5a-Qn1y=_{3v;BB@Y&c|TA#eTuiku#
z&BbwoS;Vdx*4Mnz+vqFBFZG-cwr0eBby*crQi&E3I=zj{n&Tk!dlR=##nQ@w86J&R
z<Fz^JRZ*)i5yi#CXatfUIk?}x@_9Jw?>X(qvEe7>Bi(PR#(3j@K?7B5Quc_b?&$V(
z4Lesw`}Sz%l`bvPpS*d7`VM66C+{a$quB)e-aMXbNJ-CbxNFsGJ3^W&^;q1KnM&bK
z<lj`}c`*zJrVf+gk;m~Qdif-(N-IfthL@LyU;0@+TaP)SU^LpFkBcB~{t@CJU6(K3
zf8f<(2!h$8i)wYZ&15sgh%#O37UI0=z<dvj0>=nCIr<1J3!tL)%IkgSKEf8dp31fj
z(yV(|Bj;ip`p@ZC&pM)bOzT#Mvc){)6U#g_KO|F--88n)Gr$J+m2Ob#*>PAb7qsb;
z%aO0faj+Yv8ki>+hW@UCaxEFV?kmRo(B-3a6Lm`48S{xLY%RrQW*4$pSI_JqD4tmx
zBoS<9nOJz74lgU9=F_{mT(}uhnqxubo~9en@1vfnK{w7K<Fo&DmOgU|ZzKBL?&E%5
z+q>zMFjJX;&!=AW73b1HZ<i8Ko_*B9{dREH=qkUL$JxkQm}kZ@amy!Nv^DS$Q*QM^
zPbj=Zk-%4rBN)Z?^r>tqeSVGwu9*EtQz9|p@^VT+A1S1otFOWm)BIUE(&S%+sD(e$
z;^Sv_lcu8mXdIHO@*dCMKr<_Z<!r=?zm7oSGB>Bn*oJl%`gPL{>>AbX8!UDyko(mQ
zQqS3j!cHF9V0+ZxW1%CP%q;$=PsLybQ&6AYTrwDm&K1lM*y&N67|+flDq6Gg?GO7f
zY>F4P2{Y4ajfyH(ZYOia`_CPQ|FO@U`O<K|itxGuL4=gfE4-%5&Suo!M*NeQr`Y8m
zoC-p^;lmG?(=0h2reX!H5#Kn!&&-ydo5py)c<J(9$VtqZqa5@io0C4jwaMjmAVy+j
z9APff(su}w41Z`J;&o1OS*B9$3KJ34oai6%?-I!oWfvYeI-}M=L}-wtc)!debykYs
z9&;lzw(}iGG}wJIS8o>@O#Bgk|IEP7URw06?4A}ZVH&a?u+Nt<lYx4AE}VqbFLdGt
z_&;fSMJ3W@kc(%+CSwR_?HBHZ4<{D#k_<Ckq>`I~WcMeUo1uI3vd8tgbZl)Fw`rzE
z0wH%f81!X4uDaMAQY8ybbYEU(W*f=ldYgTQNgIqTM{zZ|Tf8!Ze|ucC5?5%6VzLl_
zR%v%=9vC+9L^xct^L#2`@@x*?-5^-%o6E+$4F<I8x|w}?$I5Jc8-o+YUWWnq;8g?g
zupC={(yyuWyl9uiWhdFB%h@rWqi^oduY10!+`uz@ib$`?_DEgjAuoxxyujF`;S*yD
zBSw;j@;u#u$~(pbT1nl^iM;J@;AOCKd2Cp@tg5yqpaL4r=G>$nm!*y<q`!poB-@TQ
z8L9TutlW;MUVG<*Bo@01Gulp~D@2tM5v%<yVv)hG&wGxNx1*2D#dAPiS$r3i9|nWm
zg2T5ov-@ka(&}Rp6>c|KwG-9K9B1^chnH%-_bn(W07+W1`3`WJFzyn+R(EN5c*QPG
z&j|Y@w%U@+^iC7&2_I64G=1Kf7yZLuN15|i{c$WYVH;TEFPyl*3-ud3CMBDx4Hw~8
zVqa#R_ffYTf|xIEo@;wH!-w<AfL4Sc=NiRk^VmHPHfw14K(8vwF79qBcJJt%weK{i
zPuw4y_tP?5f&=`~oA2a^eYH-A)(SU!(Yg|)lFK1q8&;BB7FwiF?i!TqXk!ZYQ$Lrb
zXBP%#Pxo5;3PPWFtoZa+(&QISv(-P?3g%Y~UccjNEWXEbH(O~Vh$O$Z0_zJG-U^K?
zXv(H1cuZrYtivPjlGdv*Yjw4xVmV6&gc;ROg@D-!FJlD-;sS^pB|iqGd1rwrnQGf6
z<@mD`F`E@U*7q`cYsAGB5NCJJKI0s*Re0;&=>P3>f!z&|)~AchZE{U(^NI;IY1s`x
z(r)T=ubOBiGkTsXcI~vHJ-ZbuCRda;{%r7TkgS?$CZU5~fvx^8XcSvd{vO*UnEwZ~
zLglUhV>v(aN0aPneJKvP@>fRxAHWKBxLD8<*|rT2UiZ!P%6QL*nMEk^Uz1+~o?Tn}
z5Zc)cZV^0nC8fwX2y4<%?8N3nPoe3&qRJ+xk9o;Tyf!~Z*Wy)?H-(%F{MIV6A!^%G
z`h!oU1r;Mh)bf7EXLt<buX#P4pK$}*h!Xd5t0ca~F$%$h79-w>A1AwDj+;7P{hq!2
z0mjBcjg2xmTSSF?EheifP505NyZ;;85^b|_P<K@isab&tz<)T2k%BF2kP68lo73aG
z!bZgCD(Z`JOIej7Qv8EW;q}irJVLWO?gpRDT=fjv;Sgp*tY$L85vN5V(Mf~ZnFj)q
z;$jcB@b`VAU}zfql*0pwcxP|J(Q7-;e^ozPm1)9%d1I<iLm9OA<AqZykPzDu5Wy4a
z5&O44bbgFFH9>)mmqw2|d;9{WlYktxcv?#)X^xJ*LwM-B8vLixM6mnIN#C_FH-nHB
zV0*at71Wm*?<;JL$p>DZ<ZP_4l~kWw9q>cF_?JBYKaM;U!e-K*$#<x4M7igd&R{a{
zo%5%NLVp3!;huL86pH#MtoiU(N=qYUCKdldHhey|pI8vM-Po51^6<aV$epXlo3)-b
zedgOR8FIB7#goOt98rrR+e@AIZa^-->T$+N9>7=n(m9$^x{#YHF(u3Atu$y!t$_Jy
z2a>B_E=o<SKj@6-V2^4!&~!YmiAmAlZ)$xHVJF8Bo+Xw>C8l)hGBr^Oz8ayT%($Gi
zS)fLl6Rc%Z!G1<a={&pfo8P<fua0vhT%`0I{v7=%qt-11adE(Tl^gl8{#a6}5?5WD
z5errQ@yS16ymV05xYq~FmcuODq*zZfiGTRR)yOtLK=fPB<Y}}M$}jBGGarcA^`ShY
zbCcXzv+VlVTAs*1KP(Q0bskszHz!%hzcs2905j_^Oq6Etsgm0hnkF_-f(;w_JmM`d
zdCnDuv66=MA-kw;lVY5zmQwDm^9qjHFBdYJe#!nKWx7y^OW|O*lxxYg^yog9$KaAO
z14#q4!k+;|Z}wL6*JNeN{sQ?E=<SH#9LdA)CgzkR&;&LFKAB0?HAOOy78YDykJB3!
zmV?jlzJRh`daI`M>RAz{m1&24C{1`kUJW5KxTn`Zene=UdC|K7lnUS%<<`nl=vmoW
z>Gj&8xcNRcIj<ygjLRKCNs_d4rR@v0CEw*ky;IOlT$3r_G9q>AbHPF%YSyC?@EVlj
z=!g$b4FPx;hD5fNEXo2LBD{R3$0ZUyJp$r?&`h(8Q-ys4Jy+yjI-k*iER%>8LGLM#
zqbF{g)k{<sR3mC#<XY8`M)JsMoF581Bcf%PLBira3a;t4Z%n;qB`u|?%5OG^LLx4v
zwt3BQ{QzeGxA%uweIsN%!x2%isZ{cFt!!+xh-Wv!={Ki=i&XzbHAFPzZ;*f<sPx|A
z?a+6Ryv30lRCu-!Tv71lwbgl39%#KIlBga;u9{}{pS%N~U`ZyEQ*2?Z#WI#mXo5I5
zBE=)2G!ut?^y>CU*2ZDuU7}X&PGZYpYv&Ej8CsrD1!>6jsy>UDE_{&YNA6H2X`C<B
zRZ&>5>1R!lmm(^V*zwENvxM_6DSDvh9BHeQBOc567VPPGu}<tl@Uh!ZiTgE{9)G#W
zH$de55Nl8N$x`X;IG<SrSTAZL;o2tov!Aj*MI<!-2`Vsgh69WVxK`sGr_7S@f8}BU
zq6T6}cB(=4S$bKL12acVhp;8p8}y*N4o`iGTnZ8r>2^>uJs<=<rQ<c4+uc6yAr$xh
zLe~GZ0E8fDmp_^(+Mls8En><l7fLy-*fl8fB)^KLWEnvI7U1w3i)L!-JgSjs1tFNv
z16sP@G3|*<zd@L!X4HN=tSHfZL_|4#|Jf^zG>p}?7tTg2aiRJIZaYaVGFQ<n$&2=z
zycUIJK8#^48rdzQg-V^q`Q=<Y8LALI49kYmHSPch#{W+A6OPySu0>rnAI~&#yGG1h
zWYvz3me?d1<oq@xXLm1A_Nwfwc-r$b_R3_wV!ZvmWs`%mV`2;;Liw#r{9;v}uZ3X|
zUhHb!m3Iekr4&6)F<M&e_DJFUzy|g!EyV5WM9~+2(%v4Q^l~Y943bM)!r;gKJ&Rnd
ziiqq^^AZpcUxP>c+d?az#Dcf7k|RGUdc<f%9$HraM4l}DVGI<th&h!keQK)yQ&kzb
zQF3}7u!c~?U0PUm!n2K*t|Fd?`{U_a49<Q#(f38mHZ7q_(0OrK@W!cWObgWrv5`+4
z{sOY|?i%O_$jT2d6cCj7|9F;Zq%0kebx}03rVCFTq!qZLyF?`M0v=1nfz`Vyx9y&7
zXZ?LQpg3_~V@RUmRVTK_{`?F}0pj>0D;6_uU9R(Rk+U!4J2H6BZ!dT`mfO8IOt6Ee
z)`nAp_0FVT0zt&Z`PN}ST5MV4Bhg`?C0$wYu-?ZtIi8Vf%ryz>>21tEHMR5&G$19W
zIt#_qFGmBwG@IS<K-qaZ77WwlrwPA3F>D&mEAzJLSA5**7k-JNo89tq3-Ozu%kecT
zAl;m~v-BzAgXdJ0sR)0mnogeNeJd&Vr(oUgc)9-`W#$b~!X*L2)_^+*>;eZ$GNsl}
z_0u~h7xLTl#yYB1k;HbRRGeyTcV?_vc>So9-<&B?bBuO+E;M8SbvnwTiDpZ~{Fox-
znj_cZr%=@RwO2}P^oV4Zk`_PED#X^+zG1u@;eB|v0`em;MBDd0k^Od9CTe^ZBy$P1
zr+6pQ@%*K4jtdS80p@D{R)Z~cD=hZ6emz|yX_K?@SqT05^c6vT@79P4C~dlx`;Kw;
zc!$<^`{;K8{g`EnG!6+V1zTA`!wS?hOpMIrB1d>~q%%eJxrM`uCHa(2K99{#@!0Bk
zU*-&hC<4CAS-IH{DV7E2(<{4{$vL~Ptv(vQcwpRQ@iJ&ux74@Qp|+mXwE9h^b7bg+
zFvmN%7R-7-%Y^VOHXIV78gzY`*$d~2f-wO+bIqX`khRyk+11>KE|o2qh5R1w(C^bN
zd)j;He)rs5vG|WBHERX+N+<JxGg%JqeB9*7CmarUzj0<nDPY(`#l+XcA@-xW{Q!_7
z`Hyy{?sbZb()rQYI4f`wyI>B&&5PB(Ck~dbm47pfi3n?CJhIO4xly5#Ldr?8b5NT&
zVc-AY_A%+fv-biIF0z05ai|aCFHV#t5z^`AoM`L4jC<lSyL5_aq36gqEcATzp0goQ
zQ=RAR5J$`3le*E{(bRKyYlKdhYR^Z79wSl0;Y?MoGj$E;Qwpi>%I|W~5tC=4?)M_6
z7NB^j*Hfo)HU5~NItl_9WEc-s-}TJ?D?YB<S;1r|Au4gk;S-$12uEl@>bKD6tFa>N
zpeo;JWjpnj<_h_NL0(2<_vwEHL+?@O;r>QyR|&}l{l4kJev2a_$I|Y4&Aib+CnE$>
zjaRafQBvef`iz<Hu#|OWh~b9N>^#Mv?CI&*%oP$>jySBSUkB)xwEtAL5EII>d%zVF
zIlW4wBNdh`WoyFqmEML2l4KC?HJeJExNOENm|Y!_zImxhU`wY+MKV^gLoTt5`U(A}
z*q(Q)g?Q&<?IzCT_;jZ^(Y>4|9xRXNXhOn$7hNv<rk9+>y^08Tb&L}fX=?7%7%Jvm
zOIqjj5GY-Kp%jTF;jedjPifEH-iMDVWY6vTr-<bRMWV~@xT`X1q$UXsI+^!N7fh7!
zeEGG$H>DzOzR%sSDqWZJNP?*Gr@hTwY;}xNo6@K_d$v>J^#>^7Kbj9*>mM+p2q~Gs
z*L0fDCqdbdnS?b5k+?bqsz|RG7R9br@QGxLD469)N$UsP`TF6V*3*+0q2>y9;+64R
zq&G`FISHuTL{pAeU$?P`*>bvD#eChs?$)QNCh_`duvwQ!sAsNuTT;!WNXyxRR|`2~
zXR4O#qO;9DLDNf5Q>Zb5nTz_xx*Ogltp*95EoTSoX_cQ$F5I8<zDZZ>uLiy%AsRdV
zi<;>>t2H9fliL0Cober97lh}S{jP+jN-3o+*3;}%rcu|RO}^3W)9#*V0w)^ecDt00
zr=q7{%Hyd7<!F+T*Bm{}ioJPbah7SFw0#!1zp6?hF_9~o`6t+i&za8ezRWz_!0JdT
zUs3AeL2yR?1;t@|UN6hunEe(nBf+$Askr2Qp~1}-4(gy{<9mLg97Tj@M7a;yEK()1
zpT{^U^vU+$mu8RkHY0vpqfWS!c)i|{N(o&aINBz~n0qR0BZ?E76Np_3<gINkQS#wP
zju#S>Q5<{R3I?ccJa-oCD_%d1apx_>8e1}AGB)0|Nbr%U6G*eJap^ZpFC`G_ahH5p
zWe^*{JjprPz_P0PduQtzrmc}E4!4&K_Q~o7+n}vl!cu<wWfPJu4~f{NMcf6B!9`oy
z$`@A$QV*ul+*nO-!`ztMz9b*cEj<Mv9%3|wSmOifz*tv{0|hpjy3H?-5T;X<6-spf
z4(|-rSnB_5ufXSUry=|{W}oLy_n?nlu1TPLFAi0;L)>#Eu_U%X&)!OL9Yaokn)}n!
zEOJuorQ-2GT9k6pE}BG)NK)AF@2RjM4Npr=PbT9Zrs1I-_nzC8*xtZ6V3Hg;KWc6%
zSK#~aN^GXcWJa=gIhTVw<ORb_4=hN%gLzi9f<5!-+_l69bOMS#cg9XRDku}T&xW}(
zj?2Gtnjk*d7-^*b=}?$2?oS@W_-P8AR-Ryh8MJF%uQa84RsZ%KyObRd3L}=uNO*fC
z+4ZZRo9EEI%v99AcdilM*z)*ml6|d|FAckkMUKs8wcNjzW=M&k-5Ug=$Q)4LyrOK#
zexdRd4DTd_zwCQR0A{F4w@1EUA*c<D5(BF3vS`Pcy<fOz9`<#<XhL3t5Hp2>w+;xS
zsU@R80v8Oq-e#|g#EBA{iS57}voHU#`_3Z^SAt+?w&)}nlq>r9Ophx7%L;ON#y8y_
z*9x(W-GnL>?9es!VGHHwrkZ>9^qjg;s!fwx#zwy%qBsM)GjwLmiE7w){?2=QSp~B~
zf%PNGe~s2+JkE9hTBUstC+cZ>rEg)v3EyhHf(Cfr{@cvGKv+5ydNcgEm)uf0N0+3M
z?6pwhq7;!w%wLd)>TWlzP^Lf3+vxO2XTG6m_8#Bgs>^730RmMnvirimz%9o$tKOOh
zV@K>(b<)Z*r9U%chm+MRcV|i79IBG~P<p$AMQc2YTFVe!yyEAQ^l}AuUG3bmGi${L
zcw>FE?y_%R`xV~RG|N$?s*nYBUIDKUcHs_(b<H6CmjoG(B8}7Zz7m_+b%#hJ4+o~$
zYrnX;)%kDwkB!G<K`7q>M$(w)D>#1UV=3AUbI-P%{p(c3lbjI*Bq2tX`cXlQc}$*A
z?@0SZx5I)?3)0TUK7xXUM!vXMneCftiT~D?4h(PHhCcCfOz2u#%UIDj+_{4NI)UIV
zJTT#Q;u-t8$_U+Mo}Id8Q1V0d`BJw>iG*Pe2a4qSIshm7$IM>3n!eU&UWu=x_?3!Y
z0Qc-^S{<gv#rOEV>ossNn!Ptu%Wzz2u60&yDQSxIIBB|z*#^g-Joggkbju?ovMQw5
zBjU9qzrKdnAU=Wlr4BBI_~nm^;i{=994BHi4d2Jmn7qE2W;vJlV^FK2TQ+jO=sF~L
zw6PC<&CBm}(X{@o$TLE!JQ)<{zM8W3vAA=r0{wCMAVr;(or<2D&<ZsNDr?x9u5jHf
z=XmJ;pWSbo!p--brxL-eIPWk)@`|H@kPQ=u|DWMlGxg6b2^;&Ioww@Bw*-#)&m!dI
zz`QobY4y_%sxHz}V^nfZvA$5#E9-p6cr(v>hJ{!Z%wjXq3ibM!g$D`|q8&t$dIT9i
zA@@&`a0kn*-_3mJnm{ZmR&JtQAjcw_{sn4|T{eyZ?A{-?`65*breY62LwMay`rP_F
z`c3Nfy(`%OIyydPvH8~RYx{k%ojE#%#trPRof?wm<u8Nb4--DU^N~N8w$)oltzYSr
z9Hm_I41+4|j6G?N(CsuwFGj*nZaCiA=QnjpHt~f`js3G*l!2H6YH^m|#h81gj*qme
zs1c%UT2>c6mA;46%7fMwwx6QZL!43wxJ1GZSqDZypZ)IH_4AjdEtx=S-+emk<K(IU
zX8vY7!DNy0J+KK&Lq~M=QzmwdWp_99LC&ifkgPMjuK@kMIQMU8aryuh>C?V=X)y3$
z;ZlfY{PkC6D&G_Y#3`QanIoiVcP7k`{X3A#ci$+}ZbIWTpO1;-?H4EoJr2s|k)UWc
zud~yzo7)%Xq>3>fu-kEbGj?&wF1pJfDiZ*&dI4Qf$ch&66dizTTz%{Dtl?qNATtnZ
zq4(|>-E)R}1KP+;TgfI^>MlP)vKvFtM;+y*N_!NQfvxOyOIHx0%|-++(T90AfD`sJ
zv}^4f<Uf*Vb%IE~bQhprYa-+;<>z-N&t3;S4%Ib()g8HxhmQXvnby@ay-fuCQkBO_
z56Wu6U+Wm3NDnPk8gMIVw?;@AIb;GTbdLA2N&?FL0^wg5zo&PMyATScL&%p84cYVf
zc+-AxI4(eIRBEiu`D>136h6nPGOVO-zs%69aSmt!ly;iRl30ZNr>-pc*kM<$0XSS|
zY@l!f26^uNdz?3ZRVxeI4{h^WJRLOXluVhO6HPa-@=V3Log#}~DS5AQsViC)L%5(Z
z>Yds^)>s3*%)Sy8siT4b5>fkNJ7`eTGxxOK$7p4>ogpXF6ZmGKqPbfSmd~IU$#UQu
zv1JnDeEkMQ46<%NFTTX%Ph(u{4|0GsdYw~iA4zzVYH^<YPgHKS=NYCqzNCrIYiZUh
zld0nyAE9On-IqGzF1-r1(`A1vx?ak^TM}WyocSt0<T*G6rXb0*LnJ?$`+YV+?bJh{
zavB4m=?(b3X=-C7QOj+9m2Lj?^9SHy_XTr5jYG^T{qE#_QbGSOZtotyJ56t4Re*=1
z@`yk^NYi=Lf|3!7FycDW8;_w5?>W97Yn=y^Ccpw6yBO_IYW_N`t2pXU&xaHPb2eX=
zA^Ho$lc{(vc@rB!0eWH5!}-@QFA-MJs3xuFH)`<KCq|?66&ar0<roE4?`)4eBjqTz
zPz=M12QDu?uh>2Nn*xr%a?x=+u=|5^Xh4R4;0km37P1Tl)YOF3I_Q=!>|Gg4&Bw#Y
z2>VSXU8h68VUjv9gM>|9d&v8gtnFGU*x@Tl>_bUgW?^tSXYRg7(p*+*Q$#?woq{%7
zXm)_YF$tH=o+{KdWY?2*{6>Cy_{=#z6_MnV6lW|0?3X&OLgmMKP;JynUgqRrif@d)
z(50K1XPi|N`zNw}-g8ipJwi43vzsi~9GOEJwYX-us4i${izVY-g#b~FPW+&rClPhw
z`@$S?bBvyOjTK>Ph3_?zK@bFdW3%SaKsH2&4hB(IxvnQdH+e;M-E5u0@{Pf*UixOQ
zuOWP-`v9OM>TA>uTYHaw_O{h&+<X;nf9pd%sr>a+bL+*P2Z_9SzV^R8p!lx2OPICw
zb7zIZAfnk?L!E>CSbQs7B;1y+K*HsLe;nb%4GyhUKOY;qPxWex%P$x%oXV4W>S7C3
zo7yp&aI)d)VbM9UJJUP!m3Hh~uVwaQsM!|<h=leu6e7B_ht97iDLf>-;mNm0JS6g>
zNsEoT+3TQyKP=Lk{9T48!tby<LS)U(kCaU|56SB6FqEZ8Nk|qMv}9!aflc#+Fjwr8
zK547Zn^9^szwQs(33DtFWH5~C@kifvzO)O~LCqet(Su4wuGq9k(iMqWVlH&$(L5JE
zOe2c`RgPu(g{`dj@o_-&^^vdbavzUuH)|C+(hw!Fh2Bf}_0cynABDB@Xz?`ApiTg<
zRaU0mLSkk6-56i1EPdGXYQd~i5IO(CX`<(3Ql@Gt&ThfVz0P0{`O2{K9F_AuN*1y-
zyJ>(^eSbY{V0nCA!db;uKSbm&ypvj7<I>MN(K{Kvv3)YZse|sG723O{IYKXxzi&8~
zzuzJzT)<j0>J)hZNFn8@-hXc$;cHtIeKX}n9R0pUqipq{9XneJ$zZ#yo8N_3(9ENe
zur5%0?*85S8g+|UxSMVQmBqAqC+Di+HNk|1i(ZXwP1AQXd1>90+NcmUdRD9+kqq*T
z#siV_DStcA7M<G2P1G0}A?=kj+^Z=WQ6`Sm_E%%4Cg8N{Qm`qSDH!RR6m{c)($K}e
z8s_VR6Mz34@6j%u^GQ5I^KC(GVD<8Y4kMH6-RFOTX+5f8lSRJYKDm80V^u@qx-$?}
zvdw;<$jDf<kzSHjv6@#qT3UX@{3~_zwj2fLUcJ63B~q&4*yCD8G>XVWH8fLWrIqHr
z-imZq23D~0w@cdK*+X`Vq3l@tMLg%=L~q?s7Og~PU0_yM71fI{*v)Z!q$Qs7fIThh
zlp>AE9f#HV+-=P1OHEqj+Opy3A<fmS5<)UnxXfqhve9p!Z0g5^ezA1<ePu(Fln6MU
zoNu}GF}GJ++*YoUGL{zONJVr0H$;SuqElM*SfNHHTM{?wqVwX8?4DZFR^3JdHN3=n
zL>Y<0eI>VSsrzI6J1Hcs3j5XA>K*=x_$*OvjeRlRJOZ4brec0i%G_)lI<LaHbS{T3
zTe9VevGhFtqHN1#DI9q$FC|b+b9q^9ZotAs#62<kFPaxuZ*y3%Vp&IP`C@M?ke2V3
zsjerApU}np4&h8za%nAliLBv%xn;NnvX%BDWd>Bg@IwxPv=|ScLorgjr(E+??jIk$
z&GkQ(lJt``!hd>>iMPKcOoQ)5w&dK$F7FdbkL1613pYR7lyB>YhVD4)ws+}i#ip#y
z+$`uW$up2Fc6^5MS8H3Ff4gThsfa`qLzNLVk20VZ3(8aHy3EM^fW>Fp+QA~`lN~m1
zUX&t*I_c1-n6F<r?7hq_96XE4C|2!AC#+dE*4~P<?98o9t*}Q6Q&-QPDiE<IYFAi2
zpX9KLc%f0Pt%X9)T&xmUpQ&3xu<t&m_}KsD2XN{-2c^p8s#(O!E;n3;kZERDb?g#k
zbjSpPakNq?3$a6=22Ia#jIuqIsDIbf9q+TplLv`c6}B9vp}B$$cT+PS0}Fb9i(lkq
zJW0A6l$mi%L?O*{n*)9blxV-T4jK7PT?SA8Gv70z#WGlwTo{<S3GasjQYxHaw;%<p
zy{$!G!LfDux_G-#8yC}Z6v!NQl*TtbaM^01MJhwn7fI(7&XU`Hd1eWJ$?g;paGNli
znx5rpN5dOfX(D>{5>THs*8CRVm2@W*8bb-=`)9)FQ;89GPTk8;P*&N>+t}gM$!9-H
zQ%*X%ZP#a_GKfPHIW3Lfdl3LpOY%TeP;3Y~KNAmrA)Td()i$)%1#}%i(9l<c44=|W
zAg`gfFvMoQ>KQ^4^Q~0&_$LRLMrz0e22r9X_0pZ;djrxpUO^Ti6q9Aevm=!F8keo|
zxO7PCgZ8JXjwiBlP0&7J=N`~Z=Lsu00!D}f6DmU^P)C-VHBAY2M_2Xb+tAOnzx|)0
zQ$sYtv)Kx<qPVnyU+AM_077_1;;KXs(kaw&)QmHsU~6`rUZbt1;@3cs8CP3g4%l~`
zU@KiK)kuRJiT*$@lJE!a-y!lLaB2RdiX@^k-}-@c^3?RX!($%OY)KC}d3KsjW27Iv
zADgPmYhc(vw+X^Ke1$f)fjqk;@NgU0i3<LV`fmmA3$^a+|IYh;AEvT^+SeTw213Z>
zR_cxz#Ind4U!L^txreQNe42nue&<u}Q0vGeeF_gqkrHHaZzE(^$%EN7^cL=f<+V|h
zUbEFV<e78(+E+tL|H;QgbCKj1<e1I<zqV$|&<@yak67BB;~L1!Hky5y(|z#mW5MJ$
zG%ME5UAQoeXM0}4X$Q@D^fHETH+>Oer6Tg*s_hNXko~zBf$t|8KQ&{I4*2q)IXY7D
z3Xm3<*E@OuLQ-0_$U9rdP5l7H$txCkaLJyZ%Zb@5m!S{>k)oDWy8C!BYv-t8led$F
zSbvZlXk<}*&|oKh^BR5$;(@AUb(mBHx4w%$4Ek))$y~wXl0V%gVa|TP9?FR>mRTrP
zjE1h+4&DG`fr(;UsknWBN0$Ekxj*1mhW^a0g)MnFSOBGGZ(OmgYDHYX^UjD_TO3f$
zw;zF=T&xVtwixM{lS-)fLgm9l(F$?{=GUVYdYpNED_AQv%J5Cn;E~4Wm|Vt21wp>o
zNZ?_-_H(WmL8b$Hezh+JrXVd9UWvRyB+^JJ`(5F-!Ccl={}BLTm^%$HPs-T!CD+{l
zooMv$X2wv2!SE6?UDnvFl(AC<APrhUoNLU^CnE&&yw+VB>Lh}TOs>m*T^~W=2;6}|
zr`LcIrp{+P;B8k<Kpmv;!D8|6C}D-~)AeBFdrra&h3{+j2TU)T{Mg~_Epg6yBFI7p
zwzj;qDL;JDlXk1sZ)bVI2QDvrL+{l0V68xg%atE^r+YT!-dEqa-#-5m-yQ_1^$mmw
zA@>BCRz9a?i<cQux#DhcQd)(Z0;T~{!VGi$mK{fk^be?H_keHy>Q$@|^b7g26}SSV
zndFP0grmjN!eoK}CN`*+Fd+O=Fe&a?B!N%-20lW2><Iki&)u{hZN6*vz5Smy4>MkQ
z5|PW1`X6Kpn>p$lB=S(!a2=s&cBNFP)+-^-UUW?qbeBDXhz~m1(&n({K>-Yq)Z6hD
z|41Upup#wD`2NQLdxM4k?t1pk=qew`PVh4vNaKUR(WS(?RE}3dduDZmJ&|D-_e!aa
z7syVRUa-V+lz~PS=HlTdH%vvgfppd`a)$0P7jVpyWf8_z*F1oelNOw6;FJ9W`pu>d
zhaFM#s4$`D&>Jre!zZ;!Q&<rcrqCy9xK_aD8o-6{c9x-5B{v=J_fM)wuOP(+ShzPY
z$MG-zU~JVC1U`D09cP;~Ewo-?5qp~50ROQe(TL}9T^T4;jOe452duccEt%Sc#wF_{
zqci@c=Io1<L<0lxx}uY*7Xlbr6erF<$ZGqAb#biEipe7G95Tx`hDS_+k808NIV8lz
zH7av>2FjRiPG3Hp6i{>quBw$$s%T7Ri}Rbmtje5&p7)EJZ}UM4vTF?7+dMon++a3E
z!3LFz=H^1(pb*5bKYg4;%+h+$9I~`Yp_P7~lI~_r;`s6PA82z&>OF#T3_AsW${*P|
zzTW^W1Z5h`7h_|KZ{$4Bj{WalZAMM|etZ)W?lCY|YfCaFD=nD6l?BwdyJl6_M3aKZ
zk8v4FZKn|jdL4q?FRd@QMV>iMW@7qDI`+oex$u3}W(2_rXP)kP_IA7Pk6?UBR*2ef
zwurMCGn`%IhSV2DpQq^dzSGFePHM*F{ChqAvtcY=BHA7FzI#ul0AJAro-bh-tjR@#
zS{*8za#5k0hb&r{KjZco8n<CC{E4E7k~rE-WiIMHDnU0X(zUCBMA;{TPH*WFAQP{D
zWFO=H&!;pL7D2$IHee{CZC8Pp;-=#<dVRy7q+meM`Yd)yD(+m+aaE3s8Qm^N`f2Ct
zAkp0JcA&+CaVH;O3>NSX$4MXBjcGPLf+23<opC%}A~!uRiV}BBa(Uq2BIcL=45prH
ztZf4gWgq?|%<2pB{6*pvV&%&;F6iZEdG{H}7Zr!-zaiOFB79kjUx@Fu($CB{RJ427
zd3}R+#IqX*mTy4!cRR2e1}oh?lz$J_igxK1i;%xwDJh5~TcKSW_o(h7D78TUS&{H<
zcO}D|=((Fe10J840Q<u|mYOS$UO4#Y0)M$muXVY>qyJn&{2C#QC>>0oPYvtwP|S^*
zdkGvqEmaHV+~&0cmsxpw>@twvjO!i8;PI&MTR7vN^kj75$>PG9l#!UgzHpMiUM%0=
zcDFa%wTPMQ`?0?~ss;)=Xw-&p++U1u860c7>L%A8NNxm8bM<wVqg6iBI<(q_XJFl6
zfw4VT=`V}MI&OAsbK6{p`H_G<UBFqhkPc@usyj<ep1krc6V*2|CCInKR*;T~V0y9(
z8IT=3apR$9V$So`^Y;jfJ|*R|v4~OoX?@j0+oHI=0Y7#re7bn?bxA`QG91Z)VxWCE
zM&8gx+M{w)?sL@3rpL{d&z=Q*TX_8Kuj37PRkj;Hj;%Bv<^|r$MHt%TUUNP!vvfcm
z4G+AXhFc4<nK8g|Ah-aFYc)Wkxl@ND@&c#IbuY+12eU-ANwuY)gMikuI5FXqG^Lsk
zam}$MzusER)>xk+K~w{QA0|GM$B7N#$GtEck04p4+}TK+ymx<`^ONQOYNFtMgFUPs
zxlvfE+7$PvqKmJC;>WvyY(+;5jr<CbCtriQ3ts8@$;mG1MySq`hpRRzq1p;0Z(DkK
z?ZHe`JOvMGWshc04i>Ou!AG6->ZIOLp_G~?8>e^8GZ<nx#%Yy>#k4<sJ;;bHP;AKd
zI|QC5ezu_x*OOe~Y4Z=$(>PYABhC?(<IS@ZtX!jDLzCe_81Xph$Wb@qR`;NV7$ts)
z55P3sxf?I{yKt93WH=MMr6DB4NTiWUU>v@B!IQX8hNHh6mOVr!PK!fRxlSJ<Lk)`$
zP=~?YET&4+pq@x;Vawkn`$hKmq7RobO7&06z`XpAk}n-8Hs5eBpp=4@kU`R&y&(5H
zhBJxblJ|z(@s`0)N5No>&B*IwkenvdzJ)C(u7f%2hZ%E)ZE7e&pDR?d5ikMcp12Wq
z)tk`&viq`VP-mTD;lA6^Pt|({%};tinbz0gxFJ?5z9B+GO-2X(3{7btHs_be;3jZx
z&pJ=fnC!cDze;Zu7Z*!G#&EWGeb6t@@km^CZ(kan>Wx*oudvDO<1W%l>p`ht#i4!h
z4^Nmg%3bg|lcCI?kt*Zo8}v^mZBS4X%t8x8wJUR)ZBF}Q?`TbeR(ke@iD`oLT){)D
zg}F_SvfWeU9)sH#gdA7%ZC=;D6lc~P674S&r`CmN@!>Vgq(6&{Wgja0rXQzO)qm7P
z%H!BviNb^<Y8e`#&IOe}D-aH8-7r-_t95PtDU6`(DDN7v+jv(S5a-rQ9SpmgR3S{U
z>Lji!Y^&=4)s0#LgWlGN@#e><wv20!^xpq+`GJl2NzcYFU(y<!9YQnlOZOSoOp&O`
zIt{%B7bj*|95dH1kQXaOA)IJj)0=nGvA>1cT&;`SNhM_C;Ts+{QqmWdq;yQ@nV8}Z
zQ#sjP2<Euk48IE&uWK^6okZAw5`MNP+RL2g*FRUZWJBlso;7iqn?I2INie?**+)#+
zV`}7#Vz!L$HmoIG-VbR!M&KUvcqY5Y6a;*(gxDItB!E}v0!*MZdY9QEYsXb4^808@
zNmvZodUNfj_oEvY%9yU9#huT{nbDYeH06zF7V8IF#ij6X@)DLGSklAq$_I1b>EqMH
zgXD~LXD1N`?gybKdgNZc=ZY%Wm7~!w#C+$DR|=$FxV?V5l6$>qY$sRd@5Lv<G7koB
zbD?MnT~E_YQaY5HYQ*EZlp%6`_I%_LKR;vB_&31Lerx>1>YU)c#>Msb;x(=ZJa6u2
zC>Dx*ElDu>nRbM3!`kUfJeRxot%8e<kW_)-ZLA~d-dCKHRX=_R8!pOZ>pQ9IeUlGp
z_*0w$5j9VQLh5g2UUAQ<>W1YwST@slQujl`^YA0uPN#w!P*;lUF5y<K4w6CitkRfi
zx7PE|lE@8JB|BBlC&BRqe#%5k)X0m|IY_l|l*a00)wLEs(MK_)C20@)r|`<$8k(4S
z`PI{pUiM>d#G`p@`yZ<K9OU9LVy*->lITW~2$Hi7r%)Q%t^~zA`j;w^?R=sIS?@Er
z3NuYj^X*>?^2@^y4R#r>71-l{@=3zP`zwX1i10gC<4)V&M9YMwV$~Xa(GO|#KM4nN
zne#EenEX<BjpUGbS<j-s!oI|=gGxO)!H3Cd8y+w0;vPSvUO?J>_STqPIYwrn(oRL2
ztL{^!b$Z_N1H*TPSyYKZ<*P5ccTM!&o_@@5xbZabz`y~qj}=oc_~>CAtY-XY{r=^=
zFIA3q?`})2W~dO!aG|Oq^qZ`@jb=Q^c8Hv0o(@o6P}&oxQ<<5^xl|75*q_x5T70}*
zvn)f6;P%nwqR=7Md0gi^^wRs6Ot3ER$Fdm{-rb*CWbh*fp)Gqtb-QA9pM5{6)cJAn
zGnxL#J#BlOu8@sC;qY@+Dx*#V1r9g3C_nZ-)^3}Ze}~yR_SFd;DtaitN<*C-iooAk
z6;%acF}^#hTw5^gSg2t!Twev#rK}Xdt9z92?*nk>Yf+<v391G={Tk0M?WFu%HMYS&
z5A0MTA81l9ra$t6qmk(yEFWb14mr<9fVgXGYulAbUcBh(!zEl))&qEskFd4iCmKye
zq`vq3D}3+sE<=3bR(h#aUxi+Ylwrhejl2tTK|kRmdeH=bRfwpQ6&w)>2a#n|Yn8-=
ztwYXNe>{AOTx45-8ZI;+?}7siumS^NZ-VZ^I`Uk57nH?!@u@~Rgo3l3lrjk%Uc<w~
zcx|DW19>iwG`$~mUBIo=2>2uaEs$fm{cx7YKh-g5p=0?{KguQ_axRjlJzQCvSfi5q
zTv2juWc3xSPR9^x@nF;$r3dH@#FGZxVE*s&6UYY-w`RP6fV|b{ApJb#<nLsl47@X-
zy7ccL<#t_YVZ4z><he$=SdG8Nks6_nZ-JKE3T=`1mVr-;ik9G#lv7fT<&)B2tPTMy
z)$-f%E%@2uN%8YBwp$M^$rwbhbMuIMEURGlKzlKg&TF8S#LT!ZlJQuMwBdniL4a=H
z<lUovji%CK$kS%&ge)3h?_II++ygeU&g<eBQA|d-yI*!g)?DdJk@xWPmk))THaI%I
z^r!vJfSZ3+3@-3w0v`)bl<++^KHIN+7eO|~CLL}AAwX%pfi=Tf?B@M|4&`Waf9Rk7
z>RY1ITH8@+#0aNFhyn*{3@lJy;ir9F@sE;oEL=si@iN<f?nN^PIf`lnjy5?~=3dz9
zJ!H*N%QSkYXJFE$J3{13X4f#@{V*i~%@i@vU~cbyg);bjeST{6mKqT?E(N}c)_T_H
zG5#U%zHahxiSwnj<+ksasjpxMZH9T#(oKip*6Lj8dJafdn(D^&93YeBoSK;CR>{H4
z;DDOk4~BcKs=UcZ&@#OPvNN~W6S?@qT;>|JtiMNfP9^Yft_yQU(wacbfxB5i3nIP6
znAESs4wcj0J7AX~^dy*Oqx3p{q6A2c)e`6=u6~LcUUwz^0Ay(MTV-A;=Mt-qwC_D`
z#T9ZO!Y}95xV8(u{%I5U;xZhNp_lF9TUdPw??9)fMi8u91!y;TDsNwq@e!DCy(M(x
zHFIZQSphV8?+tP6#$?6qJ!$m%RChV%VTx8?b^*R__G`VKcGrIJ#=zj2e2wST;m`hL
zoeO(ul3SPB6Z|EPz#&~qFHGCcYYi-e<G!L_;#wl$mSVZB>bbqn@hFfX>P(fcSX+7A
zQEXU+J1>aLDHTDOjP0`DR9b=dFK0;Tn_sDZf`p{BG;M;mgI0kfraOC^bCnB67MI5I
zKlk4ly6~emd{IxW+s^rCQs7X;)osA^#3~ly>`>!8DshNWnGd?P%FU??RS0UCMtG>Z
zFNNw1XxHB}{?1u^xjsC%HfVCLySS2Uz^SVxTx2lhoW>k_D*Yrdgi(-iKfm<5x(w0j
zOa)CueHw4rGc(DY=Ep@8husiKZbYY@n-O7%<RMEDBHT|pnD{!efJSi<ezi+?9;7kz
z$|NbV6oR;5bRSlZd|+zst4aeib^M$7G^<!q*uq$FjTWsI(Gsd}K*vWbv_(xP-Vc@t
znP7qG+qt>9(il#b9dX}Hcgn}~twU^+?b7p;`$a0MIpbGP^7dF~0y>rw^9phu-Y@NU
zvnw;0j+`j!Gv*Tz5dYCoQ8b*l&%8eVHePjQgXQbJQz{y0lmMaTXRv7=LVB1Uxuw<w
zW>MaaS%|#>s+p9ktQh+~Ujzp5kdAZg!L$~o>!k;*PZsZv+$llS^;VgnoM@{(@B8yO
zFC+8tTr)r_Y8kK%Jbikt)&>eJ&?Yi#4Uo_fW8Rwve8PZ{eotx-GmBU~=m|~$=b2(m
z52sduXL8Q_%(_89dEP7W)CAO2-cn^YWS#U$ICFdC9kqp>GFXW5!as<f1H3RO)ig)*
zl`v`7l|}qm+s#LrA{j*#OJE5I2Ja8#Yk#0d=3&feFa>cB?UQh~B_{Knr7|w^MJNUF
zyy~xQW%ymXk5QF`Aosg<XS7F^83fM;i!;;He$ZF(h%_g=JEJNEuW#pAcY%~|ZDr*q
zV5WyvFqDD6ftK|*!{uZ|!j&dE7Q1OtBbjV=Manv4SRzkvO3?{|R~ha@t5U~F#Ja$R
z-_lG%yiX#;r!<{H`XzJ(%gqeNHJLfbD%{*8b_1c<)wX>5JFheoX9{C&W1#_p6CIh+
zJ2&B;bMn9?<gJ7Xzh2gWT+cGe>FnX&rvgSFjrS1l2|_L3J76I`Eu){nlXk7FPRlWS
z8nZVG%yY<)Y0@J8wA0o4Gkbj~Q9tX-YfO6_yVIr5^+2pPd-~b3s6KJbrsz~w+_u)=
z+SzNeQ%EOfWS7}DkVK2Tzb0QLg?U&KvB6_1+$YGg??4rH*D$MXIn(4D<tNg&dC~@6
zCYL+fUz-YxvAq+x-sBA!@7t|E=*k6%(NmOq?u#Pn*F;?z6Ytk|HF4d`-+9&j^@;#n
znTS)CY653sN3zB-_$+qV(k{Z(P+$f-smnk8D{a$-q$8$&EAcD-+&a;0T>r?MkDiJB
zJsG9bBxQL$e~fRFubisgU4c1FczUCwBT|{;QL+Lv0{6rE{3rksMJPRRd1<NLIyUNl
z!CLbkggd82%Ng`N9Yjil;<Zbbq-<nGvtoz4bjDMysdLJg0x)Sl>)#nV?QY$_7dLPF
z;r`o!O9Vm!#3->C{@5GwXL1F3Y}OD1qQ0<E4j5Ah>K24rIvfqjeD;7Dwq3elrJE69
z8BS99w(6TT!lJW&QfH>URoZthkeS|VC`)t|hi~7W3#=4QRhUQNwpJmhUG@|o9Mv7^
zcU`l8u#@T<5*{Dh$my+o6!<cAIuL{SJA~E8u*^E;B5=#>^@_V>dKm!heDzDqZEm&j
zp`Ei1LF+{|!(|?7mt)xWH*Fr^hI-Lg6$-m`>Woch$3p33VqdH_g)0BNAnMEf916kY
z*N47m7;%waAFQID7HWMkiXY{K4AIIFuUw~>Xjb8SeBpT{4F2_{X3M>F$Jy<qT9oev
zk82g8CJhku=PDCvxOFCVqRUhth|Dx4HNqo(OrCzP?4kJD*q~OL&!;1f;(?HYpE*#7
z<vSm7bofp8rFQGn-*+fYt#s4EG@0aN4*UJfuQC&7p71u6$chN^>dYa`w$SWs7m1y?
zpX=Xz-3Zs{6Yiq@(=L`Z(@M^~;2-d+sm`Y2t(Mhb27yZDOg*l{?+V6mRyR-*O@wHi
zp6~b3xyXO@>W8K*c3yQ;=Qsr$?n(|kweG7O=JBwkFEB}83OQiRkTnLaLj)Pcxc`NS
zIJN+y{693UWGw#)8SzmQG8t}bsHPtJUuJ-hB~h0lOxrNpAoyRpkgO02OTa0^I1UZ?
z3;)8+unp1;d$npMlK*BD@IQ&rg_(?n`m`GV{Rl*)x)6~DoV!Huf4`ayzWV=tL;=}j
zPeuvx$MT=ACV;OduAo(gJo~>#Fh&Dmt7R1B|2{%Uion5FD?H*!{ohBZWAfoV_W8UC
z{_n{u5Cvot@~Ni$-}Bgq^C&SXI`!{|{^df1)T4vsS9#;m|H+Kt4~n_rJpO-riP}yG
Y%d?~NB@K1H5x_qhsyZsql&r%44@e&oy8r+H

literal 73346
zcmb@uby$>J)HggdNH+-5okK}DfRuE1cS)CkbV@gp0@9t*DBUF>(p`cg-Syt%DWCJ6
z=X?M8=Dy~d&E9+M-fOMjTI(iUNkJ0*(c?!T5C~mbN?Zj5f|CG&V4fqx0y(#h&pm)2
z7#9^uQBdU==`N6VHP@21ke3HB0R_k)L>L?p9JC7XfM6bj5PqdWAPpFjztaXV41d-E
z+JxZ*L0iTHz7}t+LGXXpe+~RXKT^OKXz7n%PB15z00*Z4n45xwM}UJ%fSVfx!i)of
zkboNSU`|esIJm!BgW-;Y|2r)ehxIEB)PvEB!~Q#M7Kih9+BP2Mk9J^S;Xny-zw+Uq
z@^OO_;(tpg{FBc4t6vT<I0xpRS?9q1H48Y29Js&IFwgT5|EvQH7W(<G+5A@?E0|9J
z3<iPz{Tof8VG1;Z;wYu<0s^7pLccJe^h_dPTm{x@TCQ61ass9fc5KFG4kqSo9(Inu
zx`lWM07*M@S7QnfJ6n4f0S`f{Uo`}PG&Gx?isDxlR~tbpEqNshF$ZUJil=N~HZYaY
zBMJ%%h_ji6fQtBwKgof=1gWfCT^$A3+1=gU+1$C<9GorLIr#bc*}<IboSdvc4OSOV
zdskx*R(lufKN|U~9dUCPQ)g>OS8E4*3TV5=CJt_{f>cz{j{g4qF-~(2>wkK(clmQ#
zzy#T$CF~q*VD|qa119_T`2Gi#hq2@TO5|we;OgLF<?z3d{$2dPHehD@cc+eS&bGgn
z#LSf4+}7OA+}_m%pyT+@(Yjh&{4bM)mi*D(uU+_KaUjsC3n*E8nA>WLTLVqI01GL^
z#R-P|T9p5*<ez2zgHqAL!o}QG4WJbI<9Pi^_gntINmNbE?ajrE9bMg=&DA^|&4vEz
z>;EeFH|0N#id$P+yIQ|CH~Zgu{inje8<7AetYPl_Yo5>>|L1^z&;B=wn1ii@v#O)9
zskzW!)ql(ScWqTS6Blz+=#u<12!IXz+0TEK{<{S+2Rlaxd+0WcIoMlRTe>+LL(lhb
z+XigjuUn*Q?({!%|0=Mxh7J{aA%N6B?f<#yf97-kKWlLPKWhM+_g}sIk^4V~_vZ@y
zzi0Q`q15{4Q1Wr{{@KE><N904KlA&8@`bIjixp7m?`;Mc?4P9nF8Vj=Kii||44g50
zV_TvB+Pl9C|4skT5&gT$|8g(>F8_BE{|w<jyZ&uAApmO<kasY%w(t};b~P7*GJjSM
zPF66t+F#-g!v3#1zx4(!5py;NDF45yf2;Ew_1`Q^080Hw9kc%$!e8_MZ-U=iG&2=&
zaWi>oZtD8m9RE7dqQ;i&zhy(%|Fbp(%H#x8%v~I8-Jn-S-QL<&2sq~dmHk`Kzlyc~
zArs>Li{|&te-mi`7s2nD|0V#o9Jthf+-2Z){_6Gjyg%#zad&<bY`^CHM=l^Xg&qN$
z`j-e6dZhG?M;Zir4w4oZQS*TLvE=S=AyM=65YvSK4^O-cwkw%|&N+c4!UTjM(h-Jo
zmdijv6$pc!gjO4wfQJt@F(L%#h8f^8SrbY;M+@WsezD-0!}kgImHYNPV~e7j*erqR
zY4z#pCAZRUPs{L!+a2MDssf9E|M@W51bE45k7lfo!v4?ag!S`!^HYp;gx{aS1_T`l
zZ~aY`^$N@9-yfhV;_nsH5&nOu3MSrYzNIlZ_PgC67uYp?xYl&T_l__EQC{AxJlr4n
zJ+vN1w8WN>$xVRr@n|o?=njP+uErCz9R1hzdh#Vr)UBV_L7$GKYEV0&Alw&fGvlF<
zJ|x74#`Zf_Zci4!S&6qN!BJH|YZ0hBAh&`VT@|R3;_<y(p~ei@o7fcUONiX4a^$FT
zEgoZ;dM4qta>pZ+UMn}tt6s||SuHfFSpM=lQzS4WK0jTuy%smfN>T?i`{lgAkDGOR
zNpl2f#x9w!r?T%)XWH-aqb?0DS~S~|CqFB};iO68!;}y~h`Phz8o&HnNbnWwXLO$?
zp4eNW`k<Yy%1_sOhPUg4M{#=O<i!k07atFNl>2ZCO-Soi<Y*+mc}k&-X!g5=dOE|u
z?0nc__hZxmrGk-qwqA=9Ymf?gCn*md;k;>&n1FYZ9fh45g-vA3k_A~tq_?p9?8;uu
z+pwQ}#TympNgFkb4c{BFe7+c*rTPe0cwM<y&Wi}m7<8NsoESnqN0DZ@%mQ3R$WbSz
z?_u*!)=jyk;CG(`FLKUhCg%<LE*JwU35+}{zQ->XpL-7faRv%Q5j-SfVk(_%oL;xh
zwXWR#EJ!hUy<b0L;Cr=2ejN8E^VPidbe6bL8#yN!BccBbI<W(3b~tE<DpWj*(;jyY
zy2eOChXI!F+`gV<U9_3T@Y9uhxG6tgABYI$+kl&+PRZ89yZ$Wx<}EL(9P_UYI(-^2
zs^t&AiaK&AXA91k?0g%J{&e3hb$4IcdJ*14iiqF-)qJ2b_Vyd$+qLh853et)WhNwr
zuazm6mc0&q+HaOHdCij7WmE`j-12iFuvq=Ng9s_=WiWr-i^N4(C;QA)@#$kXNixs;
z&oaKFJTtdf<9<SCUsNv^9NITxg~>$p$ld#iWfseO&I%Y5NO<8_Vfr3m4;xF6;o_R?
z>*IX3xw1WXo~>N16Sfoaau5d=Q_6_>H@6&}aHIL7K`5>&DR9cTVaT8Vxo7r^mI~>`
zAeZIEr)i4(TS-9}0^bnWJvwWL*;-G=o;}=OwDYb(uZKhX-MLL=GhLA>$w6U;ec<gm
zaKw{}Am+_mZx<}Hed3O&+pk6)zW98}BdfpOD>HPRkZ{=<^VzpC^xBB#6}o61=h+Yc
zyrq$Ac(<o{m89r*Jw?-{1bV1wT)sBO^qR%ZzU*=EJ;`9mK8mvRzCX!sf4Dn%0M3MC
zUi4F(*|qA2`y0PK)$9l)#v-nzP-Pnj=*9a||2&iR4ma^A^Uaf2sUAPg*}dkXh`Cst
z+!yS4iNd`gSDT5keCx<$ICm)YnMUr>7aJD*Ym!38@wX=zpDqLyGMF1yUj3-)7rGi$
zTy~q$7e0NDN!k7Iqi)<67{fSMnF8B^&zyNmI3au6VONjcF^PRs0Eywtl7g($e0qJS
zUi_E*Px&8iPhgJGc^Bh~5Zc%At1dU`g$KDd<T(5<70*f*u;ouI0&293CVO4Bo5NrF
z!fwuQPoR_-*;LejU4POPo);@L|7FQER#3yhb1N@KKqks<*>fkn^8WCRaOy)Wu>688
zC!I(~gmo69*S~JbxR3pc&xOzYR2H339Twj56Ys-LJ(b0XSqzs97YKqABrvz4VSY~p
z^K~3@?3;PxH&6IjiZJ<@(*?cG8$X>@Fjuurj%DkAoYv5_WAXXC_Y{>Icota+R;6&$
zoEkv<NSAr!cVV2m_RX|fkCr#=8kb((>^JJ78M-gIO%Sl0<H%}%zrUVoe`V2f|9m|{
zUy{J<o$vK-)$8f9uiBPRd}j+EJB`_~c6n}-#vXtCUfKH7CF>+po_C3RY=w5)u3@fk
zJJXG`!JFOkXUB!C;WduA(EU-YuD&ek{YV<ujFu_7fMqL&3nS`rYj3K&Rb9uDO~4h&
zmqeztowPXr5yj@|+3gI6`)%I#v{LWUvl+vOy6n3s@)}pJ{S<8rVkaWQ4%MbT%5ARw
z{mrz!#^u-F+dNM$DO~R59bQlMkvK#xM`K|xY>-{>EjBUXBbb@gt83~{_mMfpxonSI
z0o=}-ao42ZBE#++U=IDuS^LkK)yk7f@1q^OH()S5I;hExke~Uz4BvMa@lctoW1RYf
z#bzS#u`P2JKu9_WW*q!(bUl`%a4RD){Vux&=UX<&@I&}Aj0r~cYH)GBZvtz2KEgG=
z$=YnfeLj9^4F87Qx5-5}lfC`+I8i|$JaH#tE7o(wl<fNR8=>=>*sZ>alRiR2@1s%P
z74K<v%{jtNuO$nD!Tk?Y3bzkV{ZDo%BzmMsP4Lx=gf*Pqtfd5P7ufXO^xz6(5$Klg
zGfRjRjeP^p;GgSQ7bI_z$vZRGvHM*OcU8&F(?ix!K=pih;q;tk{MbE<Z@M+=o}gpc
zkA-(syIDN8w_2}TN2S<6t^9bdV<QtOnn}5T1>EBHT2VJ-8_O~0&$+6Q{xd#gWF(<V
z50eFzKZGJpBPgZUWhg{MEm;?$i`MPv3Z7Ft`BwOdo>2xhEwfCmG~(H-w#wW~;|1$i
z$JJZ5SH|4lB^|Q17a{E4Fss-Fdsb>G^Z{!Q&07TAV=r(rDG8RfBXraJ0RD!J_i3A_
zs`+$Mw*9=mY9C-%R$&^-3eq~p2#6oPuz;6Xz`N_sJ&G-qiHS%Y{9DcGeF$dO-zKtz
z9}h}1Ksua9^?4W02;$E-<t_mhJs~Qf5Zv$CO|ndZj2qW0?+7zJ*X%|qN5gFW@$Bn{
zkO!5maXCBhtPz~9Qw(A`q1_k$Cs-red^#co<UI(yIoi<2C_&fXB{CESUd+2>iF07w
z_q;AMzxR-TCv#&yTy|vKdz-7-5DD8U%ey`gNBymyvvlRSahR#bpy<pfzpoZHVFa9g
zWq;TX%}mZ<mx!AO_o5esUdws$2oUgU*lqm>z89@*%nMg8w0#nm?iQB@F&7E4Y)<XX
zUtVOpi+c>|z9dMsCrEWY$_%%|ppW7b<|pJbgh#aAbB4)f<33+t`2q+$%-f?_KgedB
z7*=uZAYDe&6dh#)*TK&ai7b_ieGM&RgcL{hP4m;5EmH_`76e0tk9xb56Si7(b=BYX
z;^d2SnI^WwI<I`gtO+W!RE9U(WcWT<TEe+#0rYa;j=+i_wS{1HE5Gs{@*epItAl6c
zcjlkn+9cGgvaE(H=M9Zc15ZafesV`H^jOMN<X$~DCKm$Ku9;?;XD|7yI+)hdwUm^;
zy~))}6&q1+F+x&WdPjgkYMGQ!!S@FI>4QI>>QF_2Q(=%H<!aiy5ei4z`2cCn6GT8n
zyP(QVUQ!>W5!?40V9p6AX6)rMb7_~5I0$j#kMrY<CS$ad?d*j*Xv#a+m(%f6k9A!X
zv3<Nc9P<1wYjBK1;;@KL_cf=9a@A?GOPuPGVno7YF`AwA^G)B&{wMCPYt)?uOMLfZ
zua%RFgw9IzGHht~N{P_7Sb2VNPB|3Ruwt50XR87*A-(If!wxtff$h)TZ%jnlE*89p
zhAeeDsTxEH(&i{PnD)ngF1yLksg=T#KYiCfs7>j!-WahyDdux&6H2bfXuR8wkL^`0
z+55W5Pbsn+FZOEg=X8~CJwn4--OXn>0XAd&3aXXw6G*s30)%YuNT6D><Ba*Nv<d2c
zS5l!I2sg`xBcS&c$fFWI0kxWU`#xCGMufbDN~$DLgOIN_6m{FZ{pQ^;xe2>>QxpsQ
ze(@2ZnFJOM5lm>Oe@!hK{xfF|W$CkHC9w22%1+8w+@<?Jq=Otf>Y*3j)@iPNv&ahV
zp~E^CVVDp3s}2~Xu#YVEp8AoSSp8hOnm3E;vpWVdR!OCiMUtN;+|j-+c>QdqkLuYP
z+6V~mrV$WFSI9t)bga!cDbVN%5nC;uIJO9|whxdd98a61V`7gZW>b(!#m^tqb6G&l
zc=t5p<b19C%64XVSWON;mS0w#*VY&(IvFpO50AfTpaXv`fVR9T|FQ(^glwaWaRSMu
z6!b=X`Jw!eJ2|A~fAM{9{>=7p>$-`rgz9NM&Iggg*Ac5%BcytlF`Wm=mm$sBx1010
zTS^*Q7W&bBc`Ycrj<QJ_zWCiN`5U)u%u#t}nmf=lW{E1-ck&fpJ+0=r3B`p7D;9Tl
z`q2fG_qXbCp_`_?PE;u?HIBh%95brwj^idYUlBj%WYmEc2sXurVH0LxE+{`(ohcNP
zNF<QIfI;xZwJVui#XeN|QyqpS)x@diZ>&6assr0I<w>*PzsZy&i@i`SE20|0qgC2a
zz@D`}=`5$luHGZ9YDp#3&74+wq$GjOOClMKC}coL7SNLV{IzWfFl!2c2i&+!a}+Yq
zM)4HL-;cOR4Vn(T7A+3eSd2r-Zn=fk(nmoQ(SkARz%OR(C05C5*?fc)N$;?pmFYl{
zl)%i+(-XqB8IQk`U;HPWV>AvBS3Ziviy=V+y~Pn8++ZEHEFBPhI~B?M0y7M$;pte!
zV`3V@^jyB_N)|}7s@q03zQm&;Bhb;TQv+?;7mWg-A?O}I9-nqaFnj#H2wrO!+=+XT
zQ>-WEuQo#F+i2tYC^qf(ebh=k{VH?dC3dU|)l*34z@~n<=MO5`w90S54nUO@ISbUD
zaEWebn_GjfTE1y#d;iPL)s2Yh5Eh{}t5`#cIQ%Ld?4H)pp#D;1HcZmmq&|E?q|?rx
z0zz{*05sMi&{;!x-?iq~fBbbo{$Skz^Nwc$6CaGTs=z&V`X#>pKz4wN$=&!oa;NYL
zWHssl@VCF7)MEmxqs63yuCM;T<6U5m1mp52FrU+Z$FJZmDAr|M390x~*Z)J~pIU@v
z&C1w@%i(GNZ7fDZx;ecrs-IAGf${$H6gESV@hH-B8{gl?*OByVbl!vw0FeCW0odUO
z5BqdX|F5^dkB-p+I=U-1TlBxC0sT$ghE9c>98_`jJ3?1ohK}x7fA;b3KpZ>@or<*(
zNarNu_tCXMN4M2l&GXlS{*s94x~m3LZFjg|Z~Xvm`l4mV+vWj4MlCyn2imdVhs%Cp
zJl2{XoK?Svo0W^EenBWGm1X~Us=IRi6;RJV0{Z6`0Bz3zG=71i>L!EQGVb&91ki_E
zlhrk}z4q$?&_Hkh>1zAoMEIdQ-}(!*o7uU%82_q%#-+VN@4AlD5B|iXmdC~Em~Z9w
zJe02#eUB5NdXFZcYeN;YW|y7&pYH88F|M0VIN#ql16Z<ggmajsanbpEc^!u2H5BBW
zO>0^jV7NGv1$o6U-7H^dH2TMz*H3=ZHS%3KeP?aTmyckwXAd%d?2*JtZr{4!kj7=1
z<ub<Kez)%cRXzb|;0P!Zx&S&&(SJ496DU?|H&BTnZVkmufO6bI4y=XY)sQAz>yKIh
z%3e1E^90o5$%3~!GK5lSY&*^AE4%5HodB;GgViSL_v?H2vTMI_#dqGi$mfSCc^%HO
z^Dry#f^A(tpevRE%6~Wc{h_$8YGoR3)ge^G>N<Qp161aQqQg-KUzf2=e$rhi@bx*L
zlguP!mnqW{+6#cW-RrSgpy`8dd{ewplPndNjrf9;k(i&a_YnZs*D(D&E?QT7MmYLY
zS%Fc12jBxjS~VON=PB5(A!^aMyvIbpiZ%ZR*rC&jSl?5101!a;5(%;jV+9UZPjfX3
zt@r>OcB4rh3g23bQ^Wh?l*W(ycKzgj5ccaX!cR(I&2-&eo(Ju(L>NZ268aCj*f@Rh
z6Hvs)HO99A)xSxW4@05YeF?Xy?Mv{?Z7DbDLnyf>DtBvandgCty$sP7UB}A(Id5m?
z!~w_H08NcI0AL@iWOwru6`aM9+25;?r%A(t^C%A1XLH`OV9j(ZoiF1o)X<Zk`aN9u
z1#Ty68W4}<L!Jc^jG&u$h1w9LauN)PKh2|6U4RErso%rWfiEGc<Pb{gE-CConvwa?
zhy9;QNyMhbq;hpxGgvhGPv^`M6BUK7(rqf8Z1-^@@j1(6WKLAdWW_y=m!9k?x~JLs
z*^5d(C*a^gkGj!pzn<3AbLyRtBp<y|>eWl2XMo8OPvl2ryA5U%EC@!&n3#>$j7W4&
z+wOqF^zOpV>flJeNK@Ij8G_2@Me_g;iSL_t=L_S4%>aIU8OhqP3T~FUid$Z-972C=
z22;as%K0wg=l4)lb2&!D9jX1vW=%^tSPsLXPNq>*d#stzR0=4^2t?DTUJm9s9fg@`
z)05OP4#Bq=O_xC7>NHnTrE+>Puxj(Na|O7V?<m}g%2O|&C`e8spR>Tx<tIM-az8ij
z`|AE`=f)YfGs(_IwN2ZoMYqGdQUCOZrLb2)vPLa^3RXTWcEJ|Xh^u2;r)%SU*nSl+
z9uuNjjr~~Y2=jK3E8`V_%^(+xF8Xq(uLH+Pm`<r5S%++x1iV@nV6%8K@&$fX3C&d`
zgP1CH0RXj72z~{EbwY6AaS<grFnts*Dwlj&*f~N{$kJhQG|$qvnvi?U4l20)<RIU$
z;_F48qt^S2QOfb7rgqUCzaX(QQ^}Z5pre6@>49@Z*di#@gQM3nHr6%}G?x=fBwjNW
zt9DOI#dN&hEn3K308rM)F^VN>oXOsM-11krgs30xn!`y@!kI>JgO*9LMm}ylIrxTM
zHSmE$y~RVFvjorW2%XFprorUnrVNbAk3J+P^_u+KeFwi*Oe3F0o>b}XUos5^_3{ab
zR~>_YGftf3Sk7h0vamnJ8CJg$Oq>47osoZ)b0<TV=?Mj#7^f}dCCkXALW?k9Q9=Kb
zYWO&3@2OE23&507xXx~8skk-)^xBM?AESN3SNRwji&c?}WGn5>M1CPHf{~JrX#i_4
zY(4?4O$4lHl%+rSdy>$?*Bt%uq_5RmPz*|_{Kc)Ld*DCCo_A({<GcG1#<GJDoaH>k
zC|IHNMRH<^j<*SVd+`Xse)5A^+E=-R9|xkK1}gbkx&6({3#AxQlhU|I%Ng1iZzoks
zT9s&c-3L@^FbqUv)n$geK{8meJJ=!@2GP7B{m!K)@}Hdsuqz0hO0rY}yI!@Oe5<0i
z9cxaK6NvI|+j@F0rehTN+DB?`>XG$Zi^68R)i;6kbg8CmeAJ*_gcA&N@0jN*Lr<Ou
z;*Q|MJntP@05Kpqmf&*|k$&LliBQU=WXSA{0K*LMmwYZJqUa<wVH{(|>Gu1<??dAq
zhQS*<hU$Is`h3n(l6eSg-muwprp*Z|55p`6Am->DNWzz$<hQFxzLpBuQILE3q`O)o
zd$S`n<8SdRtF;5L;tU{pG8q0>;@z<U6UEGjq9A`pOs-YiZA&XEQTz!Kx;Va^i(>m3
z!MEQkvsuvdib!!w$of%onm513trTxa?f!^2*`TScc`^sETaq~;A7-BDXgA?BCqSdV
zOrOr-mA&cn5r5&`dHuag*l(V-CfLwW*K;d*<*d>@ZSRP^lmPVN1Zw+jI~mI(du)%8
zux$nD>&+h;_q%uLVfQ_Xq)ZGh#fVofe4A<2jvSKJih>TxhB8v$7JV!8ZTDSVTjR(V
z6+(2AyVSeLwkRPmmlR_TjPbHoq~<FU7d80N>c7P2?jUuqSGB)ktItWs%I%o@rzzVl
zu~qr~#X|r1YjaxXs|Y?MGE=~oMHSKnwVOkY7PncnB4h<pXcRlw9#ZYrXo_O>R>dgJ
zi$?2y;OuAaY$Km;erC{Fr5_F;tTeGSw^(Cy#vU21ZHU2(u$rZS6f4o3tf$#+&;}**
z298xWq&}`P6z+?uJl*twDn}c3Yps_V7O*8dkRAR{#k@!(ldVI2=$uoB_rQX<ZpKRj
zVx^t?ia!Qdflq`~gYycO42G5+Zr5*v^!2y*U$|J;jIG#qo(xImBpEejRr%e0N2W<_
z!uNP?!P8$<6CZ*oR^TipJFfHsh9AuxB#mX_$P^>kPpXJkv-Lw}=q;d@0QONUcI+bn
zd-J~vj~0WfWaO+^Z?LMU;*RCZhF!=uq&8xPM9yUGZ(np#Kl)|I{ZZY0yAfPg+48dL
z<GH|553YVzxZj2fjWdFov((sI)AvNQ-ET^{qcD5Wqg)nq_Fo9Y295~N2c`_6n;<Ae
zn!tm#<LY$~`zt6rf^%}^dXI(&b15bFcr#gJt;wE6W%u-XYN3vh2eHbBA$Y@^S-ahx
z&19@$TbaZ*nvI3v2|ru{=G<%+T*aS1OJR(!1`xcD6SGer9LbKtB!2*w_xsk!-duD@
z!T9U1b>FUb75&nuPB9J6XH7BNkKR{Slz;p2hPD}PVy(2Sawv%6Tvz;j2b53h)PoI3
z`aJUU>NorC5BHfEBhWtq6CWbSn}HiX*S;N+l}kj)Rq}MFn0tOj7O^#ORF3bKYllWx
z9I_4!WIi@O_MwKL4Wa=HSZ+Q8YB)<AW7?t`KIM{QH#*+1_}if5zN=GBV>YVW=1)8`
zdM8aAF(*X4$Gz;n95G2fsO)W@Mc?&9jnGYaF|K`4#HWj%JMXN|!WF#(^ERa1SA5*l
zyN#$y!f<e7z6eXzABNs`APKFuDofCi`ChL1P7MWw20dvtl!02DPX<#_2@n+T$x}iN
z0c~xq{bJcmw~;z1>Dnfub8!;hgLM+Cvv_9Fs5Uf>2;lzws@7BqKR+a!mu9@lMWPyo
zw{A1ny*2MN!^d}mV7KE+K4)gyZ&<J=)OVd=ZCo_D`7CU7p6u^8-5(o<V0fI6@&hp6
z8D4e~`ks{;KJofd!-p&_5%8t2GcSa*YE3vfd_T+|>GDB`;3Z(V%n-Vn8^2ED)eX9x
zhaPlvcX8)I+LU6em7j#|mmw>pJ5)~&oYluY`nc5kSs(Sw+|^=+&rYI?RUo<u8h=`k
zV2+^k!N-0ql+<vSuy6?#JyA=rg=Tbx(tFDvdyB|3H-_XkZTILqm}UfCh3jMF$BmuE
zciniZ$>6ppigG-}h?1VS%zPYs>~a2M&Nm^t3@>1=<pee5{vlOs2e7@Tbtv3gIw&#<
za;$|N)>QY*G0n6i*V16PWJS=Qwzu7pOU2-=etUbO){7FW^647Ta1$g4*$=f7feSHD
zT4FTTUe*_Ea_9D5KM0Q$0g_N4DV_)zy#rYS5#@>zCdpZ|L8#?`LM=+{lELD_gJIRS
z<t$)!<!6#9HJBSDVj;p9G1P8{J@OGS4$gUOMB~qWjI26cP{`$|zoaODs{S>{Vf0&f
z<6bVQH<tkX81tFk->}rbQQB<D;#1@cn+-81aeI1lN%+hWEF?m)RKk`_c2+DI^8UMP
z+?OzI<e~et$xk!}e1)qi95fO#h8@p#Jpko0o2sDmLc-p35_*1Lp{C{=!+HSTI?Jxt
z<tP~{Q&0U%1Yd=(VZ{=LUbb@W<mC0dU#ll|noU}l!gfr)--_i^oIoJdTjhi8I0%5z
z=naIl+89BOl(*(>s(OQ|??x<zx~1nop1dQlEc@bD>m-lGp_SRAYv6M>oyjT`7sIFa
zLErMoR(Ysb#CbT5rW6NlvxzRygtnP5bD3DvDf$YT!0N^Y@j;yCD8e)l00%N?W*8Zb
zxRh>2grg=g2LrG0{PiBzKSwx5^L))gb3a@~5}s|y#D$RnuY>nW5FP-9<%SZ|GpxQa
zXS5Md#%WcFCT~biqgR4JxTrs}1R*a>k)y04Lr~x&{@zi$-U48k4EF_GYbfMq3LX<>
z-^8`X(BmT!<<<@__|B8|rAO)p=<rxVP5@8RYrwDYjD0|j@pg9WDFzgPnl?Ts#n{=%
z)^jmz$dgk~)QM@%RNYeVu)5~+<EMgfq--eWW^y_O1%f@urTOeurJmS0CU><mU}*+T
zvb|GPj`>ngKu>vE1b*!8m<XmEU>~`$Gc&{w>o%epHnRCKP|LK<%CEvvFivs#f&~5)
zTY`VtjX1Qs$EAK+qx<c!x~%nOlwl<$&eksVMc_&L@VfVH@YAtwZ9wpJYZs1R^1E!?
z0{)O~qEBfZg(BJJXuV_HkuGZqj~bHlQQAA2wH7Ai;~)A7lY5M1i~(bz;@ouO=CRc{
z`HS2(Nwz%Z(RVn!`#s)}cq%V_j3-!FqqIk=f&9#}ZsB27%1mu_arKf6{G3uFgikhA
zxDOsZMwNR_1e@Eg7YTbJ4tP1O*ZQf7r=hmiZ&e8ESR;#oC>l{an|)Wh?FP#(#eIiA
zDxqd1ZXd{sGwAFs@|CHqd|j?P+PJ?Ym$?!rA#v0BN(H>~ZDyEX#S-J*kK0~ZD4L0A
zb^Q@L6IE1fy=;GcSKfzc`gs@qH<IXm1{9pP`tu7$LFlA2$GNW_z3YC&K`hQ%u#ukY
z9iB4|aJI675bF+c9bk2E&FtPp<&u61bsyl~!0y1MUM_b@;&)hv6lJnS%$;0>Gv}+n
zyW@&*LTCF(ySNtW-ACKLTbN;+(Y#`@@T0tLY`rws4^pVnQ(*;5H-^wO@92n&@o}H`
zemEI}E3<XY)q^?1&-XzUUruksC3>cXfc$!PbK|~4#*_-De?drDOEQebCllKV_bdCx
zQcGXEw$V{Fs1a+t!*sS*CXbH7fHEwSLclVG3_(t4|9HRjJ8hLmFY_XOz-e+u6|pxu
zf##rRskz@6zHtm&!D9KlX0CBaqOMrZ+i!2mVDhAsz1is4KFn=%&n=msmfGwBsuVWa
zq$FmHeC8F?7MHr_46B)C6^mFdiN_}{S}JTx#*K8Ta8%lmge0fAzK|{_{P|Q&8yKI@
zlki#{7c$$rD4dw`&96x{JM{H0c3y@L?#?Dgl4EZ+Gxdu=089Od!z<*5V5c#JU?)(4
zENgv|N)aeCUF$P^VMS&NN2zlnT;HA&>&4Co)CItCN%(Phe-$6y>HH8Pdi?;wpnz|B
z`4RAqjN-ga(mUAVZEkSlkxJq3J@)9u*K}+$l4mwcsRir_qp<FI2<x75D#H31!~!rU
zNlHH%a_g5qX&MxS=dvgzt8_~j2PyEXT&mo-v}Hcf5BmuOxS_!+4MplqUCXKK8&<Cq
z+*No@Sk|FW_F`r@=2BJXp~Y~+Bz_c7p$KtuRgxf*%uLjiy2yxkI*u`^DC_n#A+=_C
z{)R@_P-6O7_WTM;eaCI|qOs{mjnBfUO?O5)H^+;Rp5!_Cpop4l`l1wE5t{U6Y{FfA
zDvud<QeuW$?+>!shEa9*!y)`X`^<Hjg$b$g%u(e(6Kr|5G-WuRhw;BbSd9WVuH)sF
zV2oSx>zKpKVNv9zR<Y@ct(_f)D<v^a=I6WO|70h<S>4s^CU}P~i!QBu&0Oqc16(Vj
zNCZxG&)6!!cMX};(qi>qYRYM%9xKfhgQfFc?^(a_z|3ZGOwg#teEm5H@5l?1Rg4;d
z`9x)CiE-48m-K^dj7xKC*an*V8$1l>&}9mV?OPfl+(Ml94RG&@KSu|-;fRVS$B<*$
zO+9mt`Qm0)NF*E{ec}i;!a2U(<yu}JK}*V*g-sDhOM~-yd%E(Yg=(EW7u04wF7IlY
zM<s+DbZn@`%8pnfmE2=_Wc42DjY<p`C%T-3<7^i*>$d+lIQI9_{>U*l)C?M;{FRJ|
z@6qVXtT&j-IG_ehqIv{AB+3}8&?<&@?w9tc+8kriO5b(WAwwJA_=@=&`9_?rwwkc0
z!!jxm9KGq<wiy!2Qt_*Z*mm$ISV!RKg~WbfKS-hB#vZCAcvKU;NwPl!?|PAK80lI#
zDQ#ScZ~3H56R~{;FpX|b__bIZ;~ULwEncI&SbyUtvwO=1>NUO*mnosj{=26(d`wQv
zGV#jg-`#Ur$pbo~lDl(QEZ3B$z#}~htt~CVV$QeN%oT%}RrbX60t1o8DbswN1^7I<
zT1lkzPSJLN(%q4((?KJTpGD~?zaU{=FLj!KXdQg);S}T~@1$)c^`5A<sg`dL(pQ2*
zsNSpxKA2~fKP$!~obT;0MXl1%vtroz*!`5KS<=&6Qw#mPPhydsLPtU=_{AHBDR#!_
zaZ#NdAIzG#&^^pF>~Z#01n_!u(EZ_)EL0Kv!XDJ5Af>?x5Ug*1uv!GC&9m6>Sx#1d
zmeLms-0zbl5wo{fu?PzV(C*Db#OmjnxQ0qY$jA!tcxh7b*8I_gdNxv0zVXq;`XAxW
z@Ig)6QDd-lbUPg)P8e;EJY2mA>NWJJEb)0$_ncJuaYBv;&Ybj|pLv4)n}op6yNVWb
zR7T?uqf*2u5)$bJeh5(2uX0FYe)cX01s7IE<mV@4t<tFcgzx{(UQt~bMM~<^C#$v5
z3K)6rnh~^%6}PtYuR_zX9fs!A#)E(0-XPRb&UlyI-Hvp4z&GP9t@EtA8;NR^hL-OU
zz_fiWkr?tecw#@nQV_7E`~o9}PzgcT(d<auDa=?M{{}-`?@J^G_L93uv@vu`v{>T8
z)1-AUg8PY3$3sd;v>6yXdV8r62E9NOE<_O^x+6nI0?Z&e2^4?z%q&P25_<k5nQ&T5
z1S}0^w4R%KZMG&pHG_`28)+Y7GBUxTN*<;N%V%`verZ?JXR}bSY@6uRN%Sq$S8Ilp
zh)_Cu*NXM?e%{1!>bKXobO+Ke(Mw_1*O?)#5RebV;iE;@`$LH-S|uG6k!9j|*h)gJ
z32wkRZAdWiE!lD+wcnS+!Mo2SU@yH1FLus{6m?u$rSbdMP*P_R4Y0f&k*8d|Bv|M$
zlugcKsB?>}o1Xu+c&h23KSrlcqXudV2_TRHzp<@mU*+_``c&T*zKThw5RAEQ1si$g
zIIxQb(FoXh4UsvL0aToa<Xnoa_ej5B4xlKyv3Arc3w=@`Ln3PLA7)&~Ea2;ae`#$?
zd6F98R98Y|A0iTKNA&6{|2lUYxK3)3Jl7Th(v|@p5yibCAS0YTbHAA3IHOBKBJQIn
zaba(wHkF(O)>tHQHSrmbRM+4X9=8fVIspQhpo;!tG{NfJ<qHf}p=h{Gv`*3|6*!3q
z#B$E{Np!KtMiPTCz4H2CA-9e|AskgFSI@|u7nY40W!gq6TK<M%WPq2ZDHdWO#&*d^
zoh4xw8hQZgZ+8_;p(<&5uUr~IN`AWKPbHv${!s_}3*gR!K8$t&P2%!lE0KP6I1M!0
zI9Jalw85B{!_Vw}k$ygHBQ?#m;~&(~K~kc{Hfa3Guu3o<-DOoFQ`ccu^BlndZ|^nk
z&%B+56nFz?iLfo0j@%DPh3dVD>_IzDDiK*>Jt1opvE3@cL@XiF!+&@p3X2hHKc7{E
z7ua6OWyPgzd<V@ZE3uDFnJ!u%+m{(TB8y#i98ISdncTi?{Q3>r-<W-cMqNjK9jHiY
z4bO1Hg^T}!@`5?Y_eH1Q!P$7*oonmE)tcnaU6u6U!{K(rEzbLv+oWvSxZ4lMfVKT%
zKvKvVFz6ea1I`G*n*c<gc>(AXIc|+{r^t~_SRH6tR<-z-YsW~L1&gqM>B#xEv=nUQ
zJHDOyu>9Tc^4jkk5F~Zx0DHSa{gByB_{moyjaq_5Y4}0q*pKB7>FK90?H8*O%}Nhm
zTn}g{Wmds1pj)^ofp)PO<rxQj!bw;jmd_;QrU%U-Necr6%dksAI+r@`?B?F`+*KZx
zueNX52O`-&T@D-G*ZRe8l5bzrcilgUdq~}Em%g468)m7CdSGwfOpuMZh4(Ifrlh2K
ztQc{7K;b(iY<J=pLGy4(!mIr5;V}^8r3-aycx#Lq$iCt0Y@MNyzc#UkF=YvYEKqvt
zvFHkHJyzFGOi7o_>XdO9;>j<o);P34)O}liPu=V{vrE1)1jN4`I0xOcH)GiWDC1Dr
z(^HL~aPL7FWn(tL6mMCZ-m=s7$QFMzQb)=V@a*W7?cK*;0}h7Xl)^_<!<g=FL<o!P
z&B{b}-0JI5Ds}vM6Izb9-(7F4ZVRGQ;1zn_E&!<i0t)&s*4P2P^w~rD+Z%@XdTwq!
z%3*B6krWX`_JI?tsWIV0d_3PRW<zWWXS-)W^b8Q0MB0pCMKWo=fEe`#fwN;1U@@2{
zF(H<2@{1w;y%brdSiZ5;f`D0?e-av^mf`TJS%O9KrFwaQ%+yH46@gVZQ3QLv&Zpxc
z=8BqvxjIW>K<oGE<I1Y(C-VwJHtj~JeH`;AeDJu-f7Z=?H*X0Oy_5>&TO3^9xq^PC
z4ptJu=miawdwuf+AbsZRy%MNbI{OYVo*#IQFZkZ<_Zn;XI#+yGiBWEc`oprXMl9Ld
z4n=FTfH=y7j~B~d)5Bp)WXiq~sNXQSN4;#^Q~d%<{BR6-{2Iv0E2UZ1opAbGJ|tYy
z4(pG_p$CO?3>$7K$Di%(7G(pmSAO0Art$h(mvsi9O)g>LCH9Se+9CcORJNv7Ahznq
z)lPQ%&Ck~MZxZY{oR2p>iKm$v8}P*o!yY?T3tlhco1Nl)=)c#=5kS=Krd^sc#ExDd
z`Zc}U$FY0(eZ7QcLY8U8-*O|_1h!L6Ss0++u87SaYbT{&lzMcJU{~)k+87)c>>7Oz
zgUB;^Y~Jd(@P6EtfA+J<6lHH1rOQLB_9)YtVBm9dqlbO%nZBF6!AmlFV@SVtveyn~
zvwZAP#1CT4KJ_l-iWtFjt&24Sz_`+O2^fhw;K*_$a-Y9>kB@p@fZ7$!6$`5|Kn_Gz
zmG><LLt}nA;wQlo5~MQeVqYV3bRVY^jGq<Q5RBv_;!eu>Bg|Oi;o1b)lgpQHBFGM>
zhNDUu<PChii<czZb^Zy1M0yxV*w*o328*kGnA;%lR<qHH#ZeDUKFkGt6yx4z3ZP(5
zz;4<Gc*~px7UlIBeok1ji0Up`TLnbD0@y5_?t$iv<1^P2K9mjq2-@rTlWc{j!%=R|
z*HA}O7<J5HcsJlOy#|gS*FF<x?COV_xIDy`_gW~A4&!6JH$RJE>igZD0Zz8YYmZ!6
zY0@o;w@cA2l^73Or>zL+_JGQlYD?g#VnjF0b<!&b4I<)Q_Sh(bY%$vJ3S8hBd9KlV
zh;|c7>A)}|{FKcr4!}IHz>VQc=VLjXn*sb+yKSqN8?l-_2Mh%-P`9s5PWtkpV$YQT
z3-L(mNaE@o6_J@u`IOPUsiqT=1c)S4bd=Bn7Zr>0e!>vZ`}r*&v$B_Vow$LInj%CT
zV{vx~2xv4Ny4+h&QdJ0F+(foQC1W$Ozi|nY7i3FCE38&niHc0^b44Tgc0NHg8>Okv
zk(e4q4ff@u_Sd!flq~>w@ic%CHV@i?VArH#W5iXy4+_@pNvL9wZm_7emDo>cY%jp@
zoCB7ui{8C3h7Y@8Xfc$x@-B=+;7r}pe*0xMOH^J<PraftocEAV?}JmLZjQab_|7G*
zRLm)F`&D$^7%`VcSQ#HPBlnT5{`IF1RA@DiI<j{d@=~XU6xIOK_4l42YV@?su|g0n
zF~6re%;{*md)iZ|Yb2+gK&rTBIJKKEV;XR|){~Pu+1UfpdOVGk$r|7tjzr;@9N11@
zYYBo2dFFH}r!D1f#aunW(g@!yBS((n)V}#t=npS^UNvZZx5r;NiLbz;Lilc1@srM$
zR6B5>Tbe>y>H8`|gekrw-J|=E-w}nLhGXP!4ir4bSHB~QAZN%at>RcW>O6ffOq-~g
z46^g9?5Ef`D;9Qr-UK%(xItTf^duRf#fO^-aYJ{IMzKRY$`C~xFeWW6Ado2Bir!*S
zs0yYsz{k+9^OeKi<eKMl6GUnh=w3JhX1etvXcXD!>e$L^_G?}`Aavy@?KtWLqEJD{
zQaP_NvsthmkGf7yr|xBqpJGKHrOK3Y`JqVA4)6~++r^BXYQFTBPGToS($LRBJTK4>
zAL$}qfRD*ELx~7oEKxDE0C~H-kXEl94g)!<u_n*AG|No@5f+0sFsi(i@z&m#Yj18I
z&;$7sGY!FOs=<B1I|)W3CvqP0$3(mnTvz>*I^~B+Qu$(}^4?etpymUEDj=i)@WwY7
z*|QYdyFoRDJ}a0kre*d{(v+~Zg_ZkPm4o=3O;tY<lj}suIq&VFCXqDzGcOA9u|dN>
zj@RP8orK994>S74@S&RiTw<e6#$wppDnIrpYIBp3G2n{x=SGPOMx?+LitWr7h(uzz
z&iyj>`NBwaWfU6^J?HW!fY^)$Ur4=xuNzPPWq6WUrjBwI5(aH6VRwR7DrLX`y5AKL
zB3L(Pk+JI$q$p`oeD-RG+iNU`SHcIYL#Rf5B%^I1WB1*rElFTh@Me@Ix6Jf@ZK;qb
z>FWX*Dg=?1a<VcR@Dk(}Tiirb2^<zlR}e-iZ>xV`qY)c|q?jfC@G>Sy^MSkk#qp-H
zbE#DV$J7&=2?&uVG7;pd=3|Nt`dH!ueY*E)hL#;GuL^pKO0+VmIm!cjlzLrl#__`N
z%sL6P$;P!IVoJ5Su`S>PNl#7Jda6sdY_=#dhHfU6t{os)`dl|WGxUlKiF35g!olSV
zmmRMPpPf)x_@~$z5tGjvxt1IHGa?M_V>PqsPBVA*!Y_F*UKBof=S>6Z&#3<!G<g{J
zsxHCFyPO(7ku|@k7PG@}r*TVAp>le}5%^sl>Dy!8I<|Ghq_z#($9WfRC|Je1>Rmt(
zCZ7*3Cj>@Ci}r#@d#eFL&>f}Eogd8le6Iv2%Q$)Rn|2c8qlL|FrPP7Qa&S<9qd(@(
z!`;fm+0DK0r)la?8N$#(qlQRgx`s2ulUt&^?0pMbbe7@#$Spwv=0G%*MDdF1y_kq3
zDn!>C0T1<-9<o-`>4mbFAuiLRb0LB_ln6vBak(;{?Ca0<UaC)+fpS&Q6v$&0^q~@3
z5pk)o7{fM|63=Vznuvdc)s(RtQJXAr#*{}-A_*r)#mRp#uCIB3iniyHLcy)MKMo-*
z0sC>*VF_8Sn(`M`bew`Ds@jeaBzQPto=uS$(wDBXc_jB$UQ6Hk9<{HgYa6DI5DM$7
z{umS&7=92vtSY{}Cm!yZNB!`KlY0<OuFHchqCnYs<M!Qw_fDC?St**wkR=UXb%%x`
zB;fnNr&)$)-^&AK)0~7Ic#dijkA(v<1W%QW<?RnUEYpm%SB2-dEu~oTtlqvW0#qJ;
zW<;4h?)fg6lB5gTvAA4YZX+Ml=@1-|mm)GAuQLU`8XhEnDv!TMG5^v5laS;+h}J<V
z^*leZ_|fa6REA{c1h8V>aTrB?!gxB*u&|8GMAyy)Idh;8G^%7**6_GpWHFset&4wz
zFl)`^MVhBo@HgxSp794+V=CdjclrXchcZ6IJ(r+SOO88?%h`URSAd=bPt9A_?91K4
zmlW5BHcYsR-91aXoM(12sHtq#^_2+R56S&NYw!fGV_f1BU<^}7g~71mq@;#j&SO`<
z+eC``sx0mC8Zd|v2_uS$=XB2HaXi;UM7bVJ<nGBae^C+Bdm0k^lrA<@RTlT$O#1v5
zc*p6$&-W6^#`hp8#LWlMzXtxiY>Z7lh!#C5k3$O7mk=}1Ar?;3HaSbV1dl<-hGEG~
zIZ&)1q5GIy8IKOR`Ycrso0I>2oDqEKn^@8WJU47L>o^(wPT2_>QY$jp)BMZkA3&fB
zb@}0YI}UO*BLrfRu+A<%gD=A6Q2q99^%YH*r8D|ASRNcjT~oJ--(4}9#?{~c!hfV%
zT4=h$n1%@FaRKFvu_EC+>uw6*hT3xSe%4y@xmdd6BJ&Z^jkVC2KQ?^HOg1Clu%8I{
zM~wl@GD4^wmzKS(Xqn|%*v%=xcuWLaU{JYoHRf)FB}NzPFqvx9C5~aLP{=lv|Jh#*
z>J-cNSPzeT-y;lv%+`Gvyvr2yVki(3CM#83W>6wW3f7fazyU|HFyN%w^)06-DJ3Sk
zFxX-aZ%hJ0u@_SwH-!|&Lqv|nZ2gS<1Hk!2gtj?ij~E~(=YT)Eh(osJ0Ehz#cHPFo
zh^TDdPRANJvtEmi+cTHQXGow@h&RM+zrX%|l6t9Pt+j>C8~X}&^`n#gK+;=0IimzP
z;1w2%hjXENZ;!3YpFoV1y>X%rB8?Ca3#C}v<X~dIctKGd@58Fwu@zrExA8dOj~&YK
z*&tc53WkQ>JL{99l0d$C#SFGZO|ijo!sWeS@$Msn*avXgC(b;VSrL(W509t&APG?k
zOfn5&fj>pbKCH^c%IB`ui$H#U#Lg!lnMBb&<u(EhASlriD0;1!rQ+$IbZst9auu-V
zgt3s-GPS9E!hFU(2Rb>BF%{qzED(&PWZ-;`-b*&rdc<KjIPf0v;m2iydkCZ1mpniB
zk;P~McL~*90EE5gq6yhbS9;1m<g}7KRc|1*Tmp5s)*0mz(_GMmb3h}`B0cbw$MR4R
z*$+<%PCtE^hnk1&eq6mbYac!Y0?QQiC47<mfJ1-Er3r+ap>CHhP;Kx2D0r46zF}^=
zf)H)Ea}uQG>q2~A-Hmag&6(v|J$|&fBQ#T3w(_&~#|ia~Z)a@6&5ycR`#vR>A3?_L
z_kpqcuXQGR&QX@OM>8znkA%G<xC<+*dUuy6*A5f5zu4@8e|0?PAh+T=CBOU`aNw1(
zMqE|sCj}=b`I=BY)Dn_zfJ&)r<l@MNtdr|PE5F><c0e7RM@rW-j)s7b^W77(YEQ9Q
zZ}r|r(JIeT8wyinMDCW`piTLwb3Hkes;@uWz%h5TljO4HUO%DG9WW7*4TMHjrQUv%
z6t1P_bJ>;?3z@4px%EP%9y+4Zc76zVn3CsJ$36nIMT5l8=kJ|N$hTU)SKjpTeiF${
zj(R6*It{A3IR>KGzTj17gp8vaUW(cR`j5`WIpBY;n~Uk-#p>bz)ME*}cy#Ejlf=P;
z{ozI7&zyX5GU^i%mZ#XYgsQ}Hd%Oz#<b;iP%!5DNA9sYxY`4lUN<!AL!6-pm282X=
z{y?}^1nz=KB<pRRzBiia!^fch4f_3)l9+8f2QQL?y$e_$%e-~yRDkfV*ac|hJ`2;O
z82QSo(ZUNxx`s5*AN0akgO$!Wj|LAd;tKGb+KN&5Y`(If`2_A8hW5ldErFqL5CO4-
zDf1o#TT=nBdo9%xNa?eXx>rCbqB;Mo@8m?S33S^p%PO|tsP8-KCgPe=iGM?WVgS!A
zPVmGQD|G_<QFv%+RH1Us=IP*+w`V#js)t;X(T;>W*AocyAin%=(vgzg#LMnosE_dJ
zV+%$esSnth{nFD0uhR){4%&rjOC<fK{E!9dE#OtVB0oRlT)#~3Nu8rPd1>}6=!Iww
zGR33d(*Z^gukeUA_m5e|ZBITfx8d<qygN$FzU>hf+K_C!{c&!c|Af#+<6a_rZf>2L
z0qc!b+d5XWUV`KPdL(<{IMmOzB!^q;K}t0FWaLQudqpD|dFfmKgzxzz?bQG@@Agn{
z|6$IKyL_Z%B3Ta)ll$V~4t*PVNdfiEz=c!1btIEYI<ZF+seHUOHK)ARKuh<LUgjZ(
zf^7n%&)9OKKULb)EtA5w<L!x|g)h7wd$#+s=T%6b8nzoTekldk1!`6g`TYf|B>N}A
zS`xQ9%kihP#}Crj9{j{QCOl#oxcCUh4J&b;*pHn(9%nb4qQk-8dq!R)b|QWPUSo;g
z1Y$&$O5iA@4!Cr~lhkHFF3Jf)8W>-has?mGLadlA-0r-ax!9?-6Xh8mLSdX$XjT1%
z2DxTz_gs-4@+V&%Gvg|nS927iTg3D}=aE6@kL5Xbku!X&*h<li(avY*HLf!wwT*uz
zO+6Ji#rT%(E53<H_w3#ZcD_UjpJKeBBiIQI%q-1Iz+#PNtuX7=`=dH|JAhT2df+o{
z$OgVWPU#oFk9e8dhldfB&#e%$`oQilpP~$0jx_POjSek(t{U~)owxBDCk`{z($v8g
zg-=JueHl7`kLgnkIG<1q@;Z?D#TaQ3d}u=Xrd0(*&#cvZWTp+`?TL&0nf75z)ZJhZ
zrBjR&I+o&}({?8-A}VR^G0mOKvbMAu4Y}l-@NK+(P5jZRT0gnZ$8U_gFapEklinTW
zvKB|ZoF-8L4ktWbh}tH0v>+ythm8#GLQII?OT2apCHw$>|K}8QvUQ<1KzM0K{~Sr(
z-1dYZ3cJEI>oG$I0pM7}%ZeYy=j`u9B5xagx^O6>M<Rm}*19PI@A)?NcI**zxskF|
z8n-xEJBUKlEN;bBeK=C1_VM<O2W@8=Zw=y0cJg4~cpUS5t<cgv96}5t0#FGzd}NPb
zDK1w`1O3cf&X_C{^d;6ARWdPxA>jQ%kq#OP+zT)1q@^f$n3e!bOhx^Z#YuVmDq6W(
z9OqExNt{W~@5o3yBWXeWCX?zP?2Jf)%7OPJ=Lghg*utnHnLGzN(!3Dg^Kx%5=e#;@
z%SU%mKa>{3T7B^$BEQT$bq%gsRO|I_L69UOe+f<oxDcXa9W#uW{<I`1Q*@{&fQTtH
zz{3g<`&1+~YJE)Iwbl9D(GgqCe6ijsPUdber{*!TRUKx~&`irP7EJq!;)dh4f3on|
zRg{<qrsCaC#04Qx=3FX%?(>-|z+G^XG@FwpC?MWh7ggzb`6aH{EZVqiyrE_#sbP>c
z<}};;=)x^ay~b)Bb})jFTr7oRLt6qo@eLu6j5XRrnVGoS9CIi3Jx^N&53jj82hV02
zA?gpAM|qtx7-LC_ZbSl-(Fn)dBgh|gOt1>2rXC#*ob=cmnU!--XH>cIAV!f!2M)%k
zzm=K3&COJk|BCP`UJiH2CTx)=;evtx=Mia%6Nfp^JUFd?HboRcDLq0)%t);uNtJ7d
zQZ?OP36*n(@e;Orujh%!YJe~0XNAz!aqZZ5-jzt?FB#DN)tAF=QRROitZ&GN7Y&R&
zTOjcPOrc`sNw~(6>W+s}Y2rg)TbI`}-%%+<vu{{62|s(TV7p%*wgXn9t#Vl;U?g^-
zd7+Nq4KIeG5(sZo|3NB~5N=)T`AJ&H`%N&JTTMI`8pZjM6;asc4|wGI{ZfI?M=d72
z@KI<31h7Ka-;=An3&d#M6HfEC0=ntE(3UM>c^sM+%}*_o!Q$gtUGBPgG9Nh+yb<ND
z$E+yd;h7=k!+nLmPO6Y~Q4pKF420^Uj6nmqc2tjFacTYazX0NvTVFJt1#xLVBY3$+
zde7Y>8OfsdVWR9v|KK$tV`4QkPg-aT^|@tb)U<T*-lisFP`?z`TYkI72(X38vetB%
z`j9)ZL)a8m-oWf?I_G94*KF{{RJrjfMtf-lDpMe9Yj0>Hc&w)IM9IS~S{ih((JU%$
zi!N**hrC|y&0xfcgTN91DW#=HD6oS_F%$IIGlmK6jAqa`p(*B3^)yWoxZp~%E;wJk
z5Mjkwgb#3?qsZ7&t9L3!{<xS=A@~SwE}T*H1pyxj;qVkW$4>oJ>yR5}Rz#+onC9sb
zQEEu%q={*C*0u+?c*R~lccE0b=^N?UmvDTB$rEv}UpQPBYfiuHi+jFKq{>i`N`Qt-
zRI5UmHo4jJO!@fjBXYu3mUg+zq<INTRk^qjxMnxG4TQI<3SMU)Bv&b>zkhxDT<2Td
z=>T=?2jOu=CtB}-JAO&EN_&d2W>!NBuki(5Ru#?o)NvJj3YI$ZjYR_6cY8Abho-Y|
zYw~^jFx`yN-8ItDqjNBtQPSNd-6|cUMu&8FHwN9(Dd3lG5fBj(^*4|Ac>jSN$DTd+
z?)$#3&vl-KMdBxwY~p67)Juh4R7pQ=HU@GGls#U|r&VJ-Spxt`7&-*}fu!aJX2-nk
z{P)GxA&pp>#(qOKJWa;bg=|^7hY_7p4ovY{uIo0&LpDYV^|`_kD_@Q;$+ZvlT`^9F
zV$5?xY#ew9fX7uKQ^T$2?FtXM5NKr5d%ou00Ce&$CiebIiw8lyC(`JO<V?Mjrt#=^
zKo}H58odNzQ!&gfX9HFB^)Xm~!y^^1dkc(_9C34^7#W>{+sw8pm8cnD=Bueg8PJRz
zfb}j(pW0reIWFAg^{-q!Q)mEDbsruJjpTJ-BQY>4axczW?xyAi)?il)Xh;g>Db6N5
zGGLO?Ko;*UjqnV<xv^@lqFt>G2z6~yD@HWqO=ubl1Y-#*#YT(ayf~v+)le09wM0cX
zagi`0s}psX)%OimOP?;?Un@^+g6vTkvnll$7fz`X6gT&d^2N#H^2up_9SA+5iZn2b
zYBb`Hxm4IH<jM*Kcw2Hza{pc1D>&d7bu@@TlH#Q7KrU=E=gL3n#S4A%T;ZugOC(j9
zN)E)zm@r}I%_cXX2+z`84)qnSGhzr;6@F|^7(}vGsM@l$O;^Zx&&z1LuHM4DC}5-z
zqjFt!o_41Fddjoxks8qU?g$X9q?9QkT(A#jcxPoy(cPJ$D)gVG1|-;mMmFBS70hHl
z>E#86{iG3mSUIQTt>*KRO^ap5UhsUOetG+~KIX$Jz_UXd=#voUvU?J*rd-WL%iGbC
zH)|)TCQtR+j+#{8NR1^#D^>Y!=3t7u#KV9!JRGDTDP)i!z?M>c&C?eiZ@afxFLYD5
z6D&Bw|GhlGc6)g7hekNk^EHttazkTi?GFRb;}ko$3pr=x4yxv#n%9Fc9_=f9vq30>
zIxpe^0S=y95Z0)hI;<DvZ8|{T*K>-zfA(csLf~9<CwR@#Dqi=j+X;65g<p;i0qvM#
z-RA(G6b)TGF%V{IA~>tR2uoF=RuU7bBm!wE7iKA78F(VBpx|VtYxfeMYVL<?H8mT{
zj^>>fD6s+f(|R#lwUc()u~qB)Eg@bQ@35@X7DHZjm64fecRQ}SRkPKdQ(Cmd+ju<h
zrE;|%nj{i3MwB~~@*xtK6tAJ=zcuyHT_|EbRY3JiqJ0mzB(&I0bA@Mb=)WE_g~u50
zv@+I&zi$pQYv;fb(eqXN8+v4JdY0v*Z@<+35xHP})^1Wgo+$eX70sNp1<hQ80l+5=
zG`dU-?Z>up$#0Jekze<fAJmQRxBYaJ%=5Ns^`J5}6v$D2Q`g?Rab2^0MESMii+}=Y
zw46~e8^?f8xQ7?MpT$$2r2|9l-eA_>!}q}=@g4Owd`5?0$-ND0`mq88n;~>L{#z$D
z8^Phxf^?%djh)YoEozV_mN#ceuB!7_0%fraO^jMsX;ho0bM(hybMjimhe3*WYyv6%
zfg{WeXNrNE%32MVtFbnbeX6nQc^9evc2c4;M^GG99!gqNz%W^@YI6S(qXtiZe;;)d
z!v#4+^u9m*c7}uJt>bz|9v8it!N&@CckWn-?)1(SLT`DhOk4cUA9Mc5Y>`7T$U0DY
zjV?LatI8IQ2-hH$&S16;+d$t2S(Z?fqXESnX@#Q+8$C9V{2^1^pwc75Uv*zK*-MGw
z=y*2T*|dbAdfQ>5na{E2$<>|0Cxob?w9T>bYBJsG(=4NK%mWzqE6Y1L%&-p-Ml4dl
zcWzZZFjS*D79+Np1UCDS|NP$K*4+d#qqSW%^a7k1=2lEp@<~aJzz`~kbB#JXT&VpH
z<D3Qsv8k(E>125_FQ&(zl))TZGwK3}G!52jVFIjT7k=MK=LoK*3O;mrqvu@WGfoRv
zZWv29?sT(d`W9z?i1RG%`!uC-1ya3=jO(F87tD+C*0AxzJA0SYY@1L+9t`|=Z=78u
z7IPWXMHP1Ov#&ZYV8lVp2S=<kkh%?aM}-weQ;%44bvS3*Et+L0_}CZP#X+o?FjcP5
z*92sbc;<y1%C+Ok;EuJGnCPgaAR?Eer5yWc4_?`g%gds_l~c7AEuf{_#``i&C!co*
z()|K^ws<Xi7zeY?Lzj7_@!7J_o*)p$Jf?^0RzN}aJ+sABI}px4%Yj(}uO(jE8eSUH
z>iiWBsCPJwz@HXXmqUf?tVn%GO@4oRRKiyV3TwJ!k?B$b@`97;sAiF8)(V_ekW&7+
z`pSHlPWP+rz6dZn1ZU_kDr?u?O0raLnQa)4ZV;Er%GYW}^<11A4LoHp;hi_>epvIR
zOw_cT=+96x7%)Phd+y^e835N@61&HvP-o?9q2!=bphe#<BHVco3wRo<9;y)}4C^WQ
z#HK^dAh7C9IP#OuU&}BmYDK{{;!sdzm?fG4^t6sTVe`M$ff7`%984x=;DKrL8#R_i
zXVEJXPKLRO6SqY_JfxA@d?~g%_`)iwPfdadNoH?}bJuZQO3|;MK8?7(JWD$FkvXGc
zWU<^Y=hh0)Fda~PY`wAQp^fWJ;gdF(-A^&2S*Now@MBZ(?xFG&ZcJ3+%6<i|3SIXe
zssV-E<pfQIe;(sD>o5yFrso@ds0l@DT`xA<!vyfr)PXc}%oeFkAr#6V*x>N+Ag$7g
z`ccY=5DGy>aA<h~T!RyYD7y*6lANqCIzJz-r%#?>HP}Xa?F%VSDJGmO4H~j`=Be}_
z4`PvkvKOd*{3mVp-S)C^&e#fG2*fVN^h-F=g|Svi;vtkHmN=vg>Dj60fiWFwe=T%j
z^<Fe<7E!3<V7}WZ-<T<#7DG5?I{k57gPjqp)KZ1{?WB>c0_jQH?Y=dQ!gK#zOs?;E
zpt6YJ2CvDZqQmUt&=Q^nM}X5i!I!$O%*<gF0OxyFS?CqZCpBA>JYf%J%DksWyOd<w
z-;?}T7rnMQp1=Hk%!X8$_B>tsqVN+<0MD@Tmh9JW^EAP}Sb4Ar87JOYN(Uw%J-2;o
zxk3Z%LbWPeBRPgw@5O@vI%!6RO3FaRF>u;x^d5*mO}5&&+A1iJkFM}ES~6V5J8Pnh
zj?$4WioL5=HJP91fppw9uR+*-_e1ekhSnru2da-e0B7{tIX+<MMpZ&>F#rnh1i3`-
zBw{_o%UjL?LodTl5a}!%irx00y;n4GIDGik6W!o!;3!^9wJ}G()TM?Om^IbdsErVm
z0ZiienK{7g>wgrCI!qs)V>hI2hwUVzSDo1vj&wIzeXt320-qkCQqR-ayzOkw4OXK=
zqYu9`Qc2=AGH87I#n=cExiar4TY_VM{~EN@3l`1B?04M=7F2P2ykCCsYc*+S&9Csy
zdSx;*uwCckmhI%SLeN%T@b@ghp^YUx9h)4$I;g_?a?k~fifuB3Cax|?7?Z8*kW&Ya
zv_y?p1E&*^n#jPi_Mg^R6sd7#B=N;-isu|WRYw{))+Y!SUVPn;Z1TT2>Iq*%(U#3!
zv+#R{B%kdnB_B}kFl(e6-=FYD2_zKRLHv9=fP6Kxn~<T2=YtyP?>9xi#ky=#9*_&&
z1tcVxE{l$WTlG@yh9JE@1=WJZT6?gapdlvp&RWjJvW#@h3d8NM*JG~VnZhpjcDcxY
zcWb`a8C**wiW8KR4paKNZUxekh<^r1Q~}4NdSJ=S%z12Z;&7Lpsb7OB^m-=d5H4)2
zEV5Nh=wOYc_Yq2Qo|A*>Ond=C*d2a((s$1s>K*vcVo#NARRcu>cLwkA>F&yi6!Gcg
zOGPXFaBw2zI(=!>Qe5<lgkKeCDb1Ztm_&p!)FpbHLyf8sOEtS_bE2EmUEOXv_0Q*r
zskdlk-UCdpeMi6J0h}opYcy_K349VoCZkDu_@50?zKA7@2L=;Kgma`#@vuayKhw(d
z187AGr&Vd8BZe8`(Kz{xhFe`0aw(u>YUd3}D6G-sxC6dY<~r*vl80z)8<6|%;N?<M
zGJtA)Uozs?YbOSh<0VqH`W3=SeR;E=o>&s1u%4cYn@?oqRdq+G{&O}&Uy9|vnPT3k
z;(G7LgOx(^AbLNtN$~eUKPoq2ZVehKZ5x|OH>1H5we)B8IiAh0|8O1qjDyr%ZnLkO
zFZri@SUgiG2=&sSoyk>QeAtU#MdB+z%x<Rhq#N;}iBYKa$WK6agn(jkE8Z)xCw27z
zc8;cKTLz(JRP~e;*&v{gUKW2=FX6^mZx@#`;pX~4j#ZZ>_xKW3lSCL#LjGng$xKuC
zppA_CagOwt$+0I0WW+y%45C0{OcnWLq?jPUqHu7Cg>s%ATQtk37)nTh0Vz>S`P<+q
z&a9~s3m%rjB)L`ie)XjNhN=cH*Yo;XNTmix21W@2ZE|;!gB4GBX=pE>7il5sKu5oC
z$S((a+2<5_#r{lLTl63pgE(r)XPi-A`t{|!5AAXIXWZWWFWUq*D0tItc0RM8&kxf&
z&eA4h`a;(%#;)+Ky*Fgv7Fv(<Mq9jAy&2d7Z1efV9zfa_=9uX-BEzH3<x~AiH7Tz)
zbUB<8dBjsxisncj%YaM^G#^b_nJfEe);SQ^Uv4u%jU1D#N!L1-43}wwsOtU7g=mlo
zIB<?;8GH5F4uO^#z8qtH<m?qGP%9Knb7u*NgyZNEXzi{LZyPk6poTOjuWhaVQw9&L
z$Guodk9Ce|$7lJ1fj983D*Pvn+@fT-lDtkx7vt;l%*lXEOX|vw1<-2Y;?EyGOW}4K
z)$Dnk`zGT_|8+^GA@(_!wA;wSk%diqCSx*A&1L*VkA^YomT9!CLp6534=X7ra8A(;
zoCLY4fxIZnI?i}?0{*Y~w=k6mKlPggErf6gQP1vCL8<7m#xh3D9^Q&R=d7&LQ;k$5
z8&6t&4V5(E*}f)JL{i0AYWTNgRUXju&0wr6wKFMUJ&WYh<$T{y?zs+!fG0QDmd=4;
zAD3uW=evH?$WIg_zuwZ3ZxuszqD5*JA3KIKsi&x}7k(4MAh<;8;~R-*0!viZyL%#G
z_a4RDowu$qhB{rXaQm7BcBn^x-IcLKqI027+`I;e9ehOF>)1k8<;zUCY#eU-TWPD9
z!o4F7r<%Romc;Z2sSicm?3aS{gJZ9qC=oe!QsEuAed**lMob9A0P=!h(qx3TC+X{O
zUT2lrN|zBeQxca^F2$otygm_`Ds>XpQ-Wej_}W6+c@7;m#fa@eA2PJ*@tRx=J)QB2
zM<9?RQb71}fF+Ynp~)rxJpZr8HxmbRZ=EJXo?~<b!~w#hO8a)AJpP&SHJMiSJ=%zD
zb^f9n6ITfTJWV&P-xzLtWxSPT)mfs8xhFbknq5KoC!Ef0JjeA#qIzK|ca|;0K@N2f
zDp?jz*g`XQiXrHDn!rFuk6S0PP=NC$f8#TDl4eOk&=3C?(S1zlH=|~bjn|9$ypnS9
zBY)F3<0j)+uYE9jKAZjn^-#Grs0!Q?lWjH(`7dE(?SAN4@~R{=$EcwtKU-Xq3Tx?t
zKx^6Mhu^*m7zLoZNnYBXYa-!M*^sm%bw%V`kSy0w<*#8q%ZCMLV0DXu&<-7=k}>0s
zQDXyrd+`KVjTyi+q_4sP&|P{b@)jABx0dR)#S)={R^e5zqW+aBXZ_6X@j5?GMyfK>
zw}&NJVGDorWtq9yYr1j2ew$YxKGUAg7fG*^GC7RXm&TFvaaOIHEXg54a{G~O4ovo*
zcdR;fZ^5jvI$l~<9%5!FDPx(~=V1cvpxJnm>DeEl{60gI1HKI@le-lmUDQ6E7+Cmt
z#E)o;Wew)5`{oN2oZ<TTV}*J%@MTl7jh_O%sfOUrL7#+<9Wev^d5HctME}O(RfU2)
zuTq@6TEQ6Dv(D}3`8oZf9fp^H=iRc|`+MkD?ddVop`}c^bql`~E?93JA5nYi(G|r_
zmGRqq4A12y`DS|Dxy|R}W{S;bcq)-UMMvWpB$9AGPYla&M{vEjE);PFl<f~^J=$z$
z|Coe|K&oJKbJ3c(_QO;!BMw)Xv_g99-C7r8eEKy)Q8}W+8F!pcSyE}2)T}l1#|<p9
zHb!5z2e^6a%5BU28QdwDo(axQIUs=W3VOP%=_c0cg)n*_XR}d`(neCE`-d>Svqy_N
zAPD+1sizuk0atD1wV_*3M<}B2MMx?%BVtTGk71<(3bK}viUpXvS^LQXCcHAC(;XPe
z=e^h<9u1?I7@nPLehq~oHUUx4GEj1w3}KX<8UbK3I2Y0%uCK{a!{S98nh?D{CMyoh
z9nl24=m&W-Ngq4|>}G@`8rqQSmO+f3FDa<RT<p5)-*jeqF@49wc#=iT4sVj2{oKj<
z*C^9W*cRmuO!~ApPAn-9(2nL^c&>)qs7;L77%od*oHt;@Eg|*0I$2w-3>6@cTg&3u
z=hvrrnNiieMTA84GrB*g6nhN2k~L8Xc|{8ViN*}ul*X*TaRv<e22)07MU&QurtNe0
zyuWUXQ)H;@x58I37vRBYz&jIyNhVWxp~=wZ0LHNNDe>bm%3IIT4^L(5lj69nh(5V%
zzp(Y>%UZuL)<cldN+a>^A8)K~==tu0npPNlzlvR}2edJAvwU1E>lS@0$$vuh{3>dW
z!%fpnWA9W($4yJ8J2W2q)CqRM^=rFt4=I@RvOHv#hJ0#OnAkI)Pe2ocB9@G(mW_Q#
zrrs7a4f70aQ|E@AsUM71j7*pkR*|Jr6_{d=JqTGKj}eAqzC8)*oPedT+uxm?FC0+`
z_fcT8VG~DCgoq}d?lV*-s-HAlc#FjppTesn#Ytgp7gOoOM3W3`%FK>vq|TbNRJkP$
zcd)`V81P{zroEe<r4Y^9^F3cVueC-Dy_i!ZSM6jKMCLn`F*hpl?<9jXd$r#kj8eX1
zHrKb3Yrx*%YQ0>7tO8AVqQzH2C>ZnG9Eosm5}5%WI(l+xK0_S>w9|r36ZRf}vupoh
zP`^w?`JO{mAIX|YT^+w+?}CWHIIAF4A#x&<%X6UNkRS|y=&cQpb711wL6x)0Xlg(W
zxY*m>Obn_wP8RuAt@h^{p^G)HMn3!s6s2TbakY_$T3pY(Qde*g!E@gFyb`-r$@!;1
za#~GUDI)rL*Y1MHSE$y(UY?UZB9{$IAF))_%(&qrlvnNu3Om%^QtPf)EP+!RjAno{
z<hn(JGM}ddj2)~IvR^!gM(amt^>*$A0nOUp#6Le$jHF}wIx9I;cgzNwU+JJj7=OcD
zn%mJ`5<)^#etmlu!684hKb?RsP&PrJKozPv`;>r2*OsKr1|LJw{I*vI)ri#CGzQf0
z81x?=SF6b7lUUaLx#{Asu~__a_SgrA1Vj)eQCc>mfPy%!;gD;Vt4}e1GTJnZzI<e-
ziG$?rVh#q279Cca<n+CpsEX4E7>|ZRNnipBRplgp?G&-x#}M{}V>1rdYKwRb;pay-
z+EnTdE^3NFCh6aHNl#Yoy3Nhq;i0^e-RLodfoC2#Ca2DnUQPJ42gq2GKTPQS>K2HM
zkzH~^?jImHlcEhmNDg~tY?LR1MgMufi>>BrQ6E^bkathZ9~@H1C21gH*`H^6S$zl=
ztcJl&dE&&Jh%muw=X$e$kmt*z7K9#7aXE#yA`$L-LQX-Gj^UqLggr?`>bB?C+nhZ=
z5mUwcH8L7Ah3KTNFy(#Ect6wmUFmQQcKEvy@#XaN+4jO#Bs*S&GFO6{Cck;;TQ<PJ
z*Y^X6wJME872SX@gMHPFp_PyX@4qn>;zj8<^RL!%+9+E<|0UK36o~-;ZYWopwBTU*
zWXR-EhS9lj>t=U?nkphhdw<3%^1EUuTilvdDPxrJXhh&l$8%W0D$g5x6c!1m1RQ9n
z^ga!rZVECpU%>9g1Pp%nsJ6&E1Iqbul8Ki)PuGr?$0jDB*2Fvox8qVe8}-bIB1(`Y
zR3|RE9*@Yf>K1rVEw!b(h0#C#H&^#7)dHHqi)x0)-P+CG13ML^B^qt3=F!;~7lZOK
zIrRJI0G<}U@*)1gICYPPXPf!x`DQdHfB63!>TVO4p}9c@c33n738d{Z#j$IasO5d;
zMUilprT;8xJ`)pUL^r9DL^~3*=rcHkk}(Qf9I{D%_{jnI7X56F6nUmir_bM^M5$@C
z1!dDgk9mlW9(j$*UEhyzy6~(2-U|CX;o$9@YC!&k|B2u2EGKvjCYF;Ro@24nMauaH
z=+fWrYA$33x5982JK&!!RnpZ(_nGBeFQ;iDg1I17YM@L_p-oeIN_P5P{o*A0Ob)j!
z0}iC?A9>~@=<IZ`BZLfW2=LjX3<*)0-nCtScc%b4>_p`ioQlfUnDOIU$9G|f<TGA+
z+&wmS+_sx>dTGC@0S@uXj>=}NLGDIgW`%7bIiBNmF7eBEn%jJ2Q+=8aABL3H1`K#U
zdRkQ*&zKGZH9mlYE!c?OUac8KG|p^NMKX}lveUoAQAl{hsn)Ha>hy7qMvvl16JTzq
z_3`TsJRjop(R+Iu-zK&uHQHx&$go{?AI3N`Wd6?EU8aT+@;*Jj^GRG+^4+qoJfmNS
zI!OjS;EAS&ThFg!6F<(6tVoksM6f8;YSNMP3YN=veE!p_!P=RTm+b)dyHaFbqx=n#
zlJfd5h%=w;ox`Gtssewa{3TC8o{p3DYt0}wQG^C4GfqTlBo}*|{Xf)124m2M;P>HM
zjo7^#i2h&neA<9=rj?oe8h&duuE->M;nq|n$=%ZHWL${?!M;PX7TAeR&S;>6-xk5Q
z-lY9Z#F!@s%Qo%_tshRNNwzqX$TS?|5NV`YrzW)tt<@K-(=-@eCa+Ds6k;S7qCgdW
zrN)O)6dL1_>507aYUvCTSA|8{5<7;`<M0%-pU&6KMvip$S27g3;l7>IM~OWU3K>et
znh|sl<R++H$;iRgUFL|X_`lVQS0(Nt(|tBG#Q3r=ZL+%`K4KejNcFypEHgSr!EE1t
zRrg1tfBmmw(@5NDiQ&h&2WZ$_nSFuaKjj2KcIX$$5K+L;N>W^%7=)WbpWX+lq&H~u
z2%PyTy@c+HVG}WAsTGwT6e)vaaL1l>k%2A9g?^Xn@PltJeYGz|>iOG|99%Un;mmm9
z2SL7%B$1x1FZWK@1|oml(0NA<zWt2Vzk%Ot8Tlw70I{k48OQt<v>oQS)@XXg6e6@c
zDEBz&3hCJmP>LiI$ZJqjs3O|+*I=!|EZqyKbLZ#tNw(^=q0;$Ad|>iS7TcK9eye=O
zaa7Q!UhCwos@b?c(+tZd_7A-IVK#e*@g^g|<jRDQzM*<yng#3gPuM-ThUaifruo(%
zoV3Y0bw4^CiHQ0bcue0`b=9UAF<_xLZ}Y6aN#zfQS0OB7z#-TsG{?9a6*R)Q)OfWM
zvc8p3eMC%K;^{88xAVaTi{ZWubz#0HiQ=%sF!sgfN)ccqf48T)5`pspY$$J|yG0Ri
zIkP+?947q(c+ytC!d?_#X%Xze(|T=0mFOG!Bto7}i<u#ytJXHx(x>-wuj!;V=J!W;
z+y32IpSMi}etnHYoQUsZ|AlUYTQByO8M=}M-;JdA*Ep;;eYn;YC~BshLig9hg7E}L
z#=UcQ^>Xkh7Yxl3zi9a&_ty$~9hpsrq{YB|k-q2h8r5aiOm}+TgyRr83TX4Bz9;MQ
zBJZLR>ibni$oZSQt&$dW<O8vflj|!R460RXmJ@DOF$4%fHSx-mzjpBBA%}MHc_{sw
zH7Ie>LpS+KG?nVIZa1Pt$dYXY$K5u7+%Qs4%A3kLE`F^(?#X0wB1^!6{+&rx)q`56
znG-fKDHgfoE~n=NH`U}IpV5GVhY{s+`9`H?T-iixc07Lo>4;vhCbL}#XaH*4b^YMA
z!@74@WbfmYn^eM)RiLXedm&_BJrl`AM#uAV+QNe~e$hbAkMvaJ7FEn(O!yT%Hi#TO
zEyNRU%Gt1Pp{4&USnmCTPEAua>KEq&du=L<EE%pj1c9CAcX#GC5IiEJnG!xj8B`eZ
z<WC%(^-?d&)QHJX=zUPc7TmTynBI-moZ4WL7Lh$Ij7@W5(}Ag65;ovH>^PLiW&Gwi
z3qdxEBpV1v#^UIo2U4}1hL0>_9rp{TCa_b=;IoOW`-fUM=IIS4i=-_O68Z~r4o#MO
zY7?t5)IZcl>0up~4=qPF_VAK&@yHy%Qc5c6{Br`6t&Sw6%igwBL`$>9T9kQ%Vt*}q
zdNVEhs-Aud0Xy2(6YQ|ax>1WEY$z0Xz=(cA14rA336hE8sgZonqL)dN-*Y7j)=RE{
z>_Zdj<HK)3zsytUdHd)6k7tQ77Xv?Mua3=*NnXf_bJt$uM5q|~vbI4*+HK=gPU_JC
zA1;NYenqoFQaI3d)4>@W29tlvK1L+-wlCsZ(fks;7uCv2U0k9O&~^evc=5em%IgRB
z=XWV*nz0`q%XE-CC(!6}@-fznzN!hQl9@ZbnVr=wR>V(KaK)kWl68wAB4*iPROD5q
zVi7&Zn8b$dk<+EYOL6h|x;XCY^x1(YL-@>H2;F*?=qxo22@=PLnr2?6B;{NhT<8#m
zL<API4eXKSMulCMS3_Yp3nx&1e6IGp1#;@lX(>cGIGL05;8+M>rewV+l~RAiNWEmd
z7|BYgXN2ZzNlP4wV2VyWN>Udyg-$PM=;WAXFI0w-K3}vW8C9-+Hh6!+uqFA&UNF)0
zP~#|h#9!+p7vO=xZHovkw~ji@T%a}5kuT1!S!P^CY}{^^=)qUc1;|ak;BZC6)4WkV
zGt8Z3GdUa8s*yXzY5$%NfKw&IFs$7~M{;y0+}8>EIQ4WcPF!M`CNj}lP{PKbzhm!G
z?(GjUR?J9B?&cwG=hmeR!RP%Q2D)ggk6B_TH57<~qg4%p&IPryWB1ay)CV?F7G<K2
zgkE7`;{)2*z;=?5syg$or9~*_pfQ1R$ofU~^2joMpu@<Y^_kKQ%7_-dl~}zXyzLLH
zy@r>m96#_G1W*}(Xw^6AxY{=*auJ`Gx?EqRM93I_bpmC%!_?T~<|EMFI4RRL#V3AV
z#6GP`e&dzq4|PDUo;UI8)0ira(0Qk`kw}OxN@7O0#E=MwAL1!x_M;|23fT0j%;<~`
z%7AG4&jpOU@wgh}Ix!!?@B%aCjDU2wmAycbCtp33z(;?wT%;EqtGkHy#j*o_w#yqW
zWGn12#}e$ONrZ<I7ih608HxVDEA?|VLZw!}l@pZ=5yN|sd)8_7pp@;y%NIrqj#ljT
zHIij;!UcoQ4f*j)+Htyz+e{Jn=B0pfiq$85I_18+Q(<DY0?pc_cZpQ*BgZSzc_ijG
zdDH5hcgKpE`dEIku`1ApCk!F{Cy+`;L)Ohyp`wwi(|OP7ywJ3?#)Hd1NM1LndcaVA
z#-ul%#WF`|JtyUBFezkx5D%!$Mv=_qm*!w=esRxcfS_F8;WXAH;38HOht%b9?IuIg
zqNn=v>dV>QPW0Xhek>o(Q;CE&^&;;G4_nqnxruEh?tEv%v}&k#;o}c@deioZ_Se_v
zykiDD5K2mQT20o4>x4{P>uoBU`H#<iCLK7S-R~6F9iLd5UJJu8*+z<1(B>k(>`B6?
zX6vHpQ$!L-Nv7Vi&S2og=-4&qrH-|~ro!ZnRV>ZAsjA<=jKMM04^oY+($eX==1>C6
z6|xRbi(!G3*-3OGDqBbgIi5pzPBB%1>*O3-4-PRPBfe2E*_mZF1#3i&48Rv`dcC3A
z&kMe0Lce9r?7tRLx+R^Yu%$;`)kT(geWSH3z4b}>V00Q0&7-G4yXpl|Z=ch$OSx(S
zqGI1i6|6kFG9uuccr5|d%y@<D4dk{>c|=b6b4Eq106&<6i#Lv@#!wqc9Jsy$-G<ET
zL7B~7_KtMLQQFg1JkfDU?9#^QlB;3BM~?G`rb38Cvz^`!kn<*BH2r{PlIV}C`$+5y
z$b}Gl=mA*OJ}{3)9%>`boXQQL{g!|Z8ezqh>$4>pWc4_R6~0|;;7k`(%Q<ICkF*_R
zT{~mb3>SXc``DUIj{a;ykB4O&!795PbBZ=j?t?e1D4;a*_MY7cYeLURqR~ul1H%I}
z)Uo>X>fN&Qxc_A%=w(*ANTGUwS6)Mu{s)`vby+lA9{oc+yja{*IU^<Jf@@mI5AMq@
zFsT<5>}hD!kKvEbNptTs*ImL(PJPp!?F2KsYXohDu<6@J)yi><xF$I$%Vr&8$^hav
zwbRoVm2JlRE$ZCWT8nwxUZ3A;JYpyt5domI-sl>7lZN<?#K!09tb&dU4uw1fWKI#@
zugs%_^ebxm6ZS|)(<yyci50KQNUA%P@X3o!7wz)&2a)))aXg4p);->GrYLZYq^WB_
zuH?Rq@ko;M-oTwD<O?E8@D&7-BJdpv?U&K6;2?~#O-IMbEtRP+KKB2Q6S3=qIr^~M
zTzpMtZ0S{h2&cRoqvbTgz$%$IWQ}XlIm;0o_nsZLb8PmHEcqIkJeU4BIvVfm1uFOi
zFhTK)J+4+rtbZoMDJ=_w{@QtzL*2}9Dht!>N@U`q)jGJsUKCm(rZq?ZNWP}AW!Nw6
zs1Hr^%FAOp+MI@Fayo9PArU(~7O)4PGa0;PM%xv%=aUIkc6yq`98`8vWslIZnw3?R
zP{=Fgc?26$D9Ax#Z6EY_{%;*BQN2}j;^@@usP*P)t)-;Sc*Xj&BSKZ3Rwu+T*YkUO
zVOPUURz|U0Jpyb=Bjn{aL_H58*BFJA-sH*b<m%fyIgHFb7u^;zQX9rDlt~NON*~>M
z@C1JV9dmUheQA#Er`Q)s!DFi3c>|U2t9(OQL;KD@>6hQ8fwKMQSXZG6*3?|nN<?(N
zy<@2s&Oy*`%e%TZwJ*t>pD-{;ya=@l3>;|hn23*Al=av{u#Cr;wV!7W>*AEsW#An9
z2!q7i0cY5lBw*pA6@jKBg!r*GRhpDi($jNFX3hTTeG%Iq+b{i&8<bNG#~@qDC&}Yi
zt+QZ3YWb*yu|^mFgAeYYX4P5T=<KW?UO!7>Z%EklM5BD~Br!IzD2y)pJ*|WL>L(~J
zN8k-ET7O>OUx}K%FPEZ!F#8%R&!MWGtcb-8Mj*&I3i4t`(V|LKMRnk)3M3Z}?jX9J
ziVq7B;1p3yM8~jC#?g-@7Ew#1!dU>>jfqGg;)QViymNZ@A*|%XR_6Pj`7hD|KfaiM
zFY9+(Z?^0z`P8LbBo&}T?E{zO5nxKpH=P%#|5}-_J+pKnc{(xLv7tZVO>nw&lsA1<
zkvs&zoO?Bp2<qY(-Rb6vol*HDz|aZkFI`;D{FEA%w@$Zh?PMgOmtKoUTbk=Y6r~>t
z@)_4D59Z3Vv0p8@6Dd;6&AYg}e$}7a{-W@%{v#0;A73r(w%yPG%A8~5=rN0~rlrUm
z)JA8{Y`ma1zOLY)@SMf=v0<eswBL-q%Vj>hTzSO**zj9x@*Z|=?`AWDt5FP%2+r(L
z4z;HpS0Zro&LZ;nh%s6)IIY$!_8a9UuQ`<$mXn^F%Q@a{`(Yzx#|5^zhVxyDw%Oa`
zxsXLJ?>N9JIu11IJf~(MhpUF+60L(jj!0W&YM8d3P*SZ1m=VeJZn_<^ZvLlTN`$S$
z*3ws2qQ};WM%bee$}b&=+_MEGsDe}!Y(`qjMW0o`G)J0?#>HlXv1ZxtUuAaW>+D9=
zqls1^{i&%Qo_D_yERRu~g^a(pP1>-1+UdVYUlaV57&N*3<i)44Y~I$nAixL{(e!8&
zgz~2(9%p|B!Xt7_>`Fst#Ie?}&;uv+@@ZX((zM5o1bG>pxqN?`P_8O9((>9qPCOiB
zvS%^_Xa9q8O4w1OgYb8GgR_05!{=lWet*ZJFakF;?gk2)4=ZO%D$9+7nd~(ll#Ye;
z&O^(%g}~<%!oSSd|FY<LwErX`NWf!lau#~tWoAbQ%o~{Wp|z_p>7E4C`w?*-q)aZB
z=4Lx+I7}wJW+7!#aZ;4K7@9xE*)R)4L)TL#vWS{zc+doHqB9+|J46J!1vF&#IgAC^
zEf7ZrN{wT>jlJ{?&7<ODoU`50vm{-vBGl<J`Seeo^IuqUb~%WwqaUo|n?#S{o}dsS
za{S!MIMv@)d2fn0rEH(Vq`gX^xnRk3b}V#;GCpOn_aZifzA6c=(C;kL85sjU8BA9q
z!`|6ojZ=KvSlX08nOPyQO1#z{)5z-AOubUpD_F%1_nR{A?^PE8|25xz;nXh55wn3_
zoKvKObu1Y3lz=W0jPu^uOf}uHb>&Wa9ab2e9OR^wT_5{;5y%AfQLZPasSz(q&{A*N
zpAe~d@{E=r|K6nZGTK>b!K%Fnef#0oPW<Nz#;XL)HA@m4x-<38B-W6w?#GI-s-27`
z`#Go%<!t4<+w7J*(t8W)ItK0r5RoQ<2N7}P5gT%b8`H_&r<klgznJi#waxsvUhqSK
znG@D=@8(@u<8vyKd^=;tZ&qIN60EP^5+G4uy7jAXiT5x*I{7CAMi?ZQFuhFFDh_qN
zkDNUsFy(t?T!wkmaA(KeUV)dEIQRWeF1p2^z7wP}pse7H=PnR}s2vya!8$Hhr40+*
z{klYKE{LR6@(CyC*Zr9U$8z<zmZf4xcy=blWB*m%@37)<PZ+Lu@!v1d4Z+=Qj8FWn
zmZ>ZC6@@;qQmylv2yzg=e;_5x!mx(^_`RR3G)3z-eCih!Iu@4TIKZets+8!qv*cw4
zB~#k-55E|4U;i`osqZ#}h4i^qp(Vb+4$wpv!@`t{x*_Mfz5at{F3mB~N5v|B10`=-
zsu_aQpA!__0x@|eqy*F-;cq^Cd@U&HT^%my2~ngb8I-(4VG-W1e6-A>A6+|;KZvCo
zcO!Lw*yf<Wpljij?$#j+r4gegs+rKatM|9qaB;1K_0xoFO;7`W6Z`*ZPxi@BH5BR`
z6=iRAd?r;f!?N^z?HOaHBeTX>`?y$}2SC2<_zx>L?-~m!yr4F&nzo?pi}{(3$F+q%
z3L)aZ|FP;F@FXqgH@;erol4@ssFxXO=TF9iSg%%Jik2FUp2vb3TIFqG>&ztbFM6Vt
zB^cVv5(%t;3+HPso~j3z*V)Ja*-SmtWEVJ1sf7k5t2PRYix*Uf!NHqtUGMkf>_%wU
zC<*g#5jUA_=HnhNp{lrVNRziZu^jsI4h$=tfaL52EK|m$^uTHc<o8o67RqNce-0e(
zaFe4JBkM`39|v<<L=O|=_3zbh+xwg7!;{)zV<ry-hx`qTOvhdltyT7y+|2=th&@^`
zcamfpr1&<gMz7U9CrJYjzHA9^AL^@_&Va@^l;$2<(2j)8Sev#yx(nH0y6J^(bbDml
zI3_&^i?=%|QMujd;WP$w*rbRYSo%4ch&&ikv&nl*0UCtE{2!J0L$MEEF-CiWNrscw
zc=Kh0_k|krqo|fs9GiR}fAwuIxxkB+);@nJi)T6yTM5n6QLST25&hKlu68*^2uLO=
zbP0dlWUPQcOiU@~`akm$-1G^war7LE@ar<qk2!0Bsud;YXWRbprzbhi>)E(WO*4Xu
zliAH8h$N2bu69i~i;bNcUHa~sOGhz+qgC~wQ#P!EmB|U_T=qe|10z!9$S%hNnC#Te
z&0p#5J%FYeUR)=W^yNKAK(tn_9KWS9IlSFdR)VNubz!sVf?ec-w0*28>!mZyLEzYM
zMhnD-SmZsnF!Lq8azDtOBP4<2%RY&iQY;+5)pRb=|I|sUoV~W)6P$XG%fua>3y-1i
z#`54%(xS5zX!B62RCjhVhGx+X2{hV2E!zHekUYz?Dni-K{sAmdzPI(VtTwylFQDwt
zM(O7u!$CA!nMP4+=$$Vo$1a?%t**GAG>`2JLxWC;Rfb+FwH^Mpp+b~#ph`U{6V&8r
z@NV!q*1eqzJ|0+vRd2NQm+erdt2>1uKQp}@N6h3~c1ftKrp4x;IHwj-goq9PX#iz%
zZ2Y8G^cxe<1#x|F3=nQO8m(j&o+^r8#_~y(a(zXwt-jXe<pO6}`$g75KX4EAdvV=E
zJ`>uezMrb*E{m7{t!qKFF>K(UQH4EO3FCi5#ja6U4knK(^Z#0H;I2HeC>uxma_lBD
zR+nOw_LxJTZgjXr|BjB-m35WYs7l#XQ3k@7Ls6#A&RywgdHLxsV^u-`bCk%0K|=xA
zR0XElo60^>B#Pr@EX8__6KP5m9#EzHJpGJij%0D0M!mAH@^{<Bzlk_634N*V-hK*E
zhL?V**5MU%xVhL#{I#A2Hz8FPP_t_n6aB7PsvVOz$Ox0`c(BULXa(6=vs8bOTO{6)
zYGqeM!e8a|e8{W60a`y{W0=K)D?*c*@P1XJ08cKV-E9vpl<1`_dv>P?O=Rl+Xo_Wm
z7wzv?{{f@PlyuZi)2<riG<YPSIE|iTog(XwH+lMfl;`Ql%&#w{E7yMN?Wx8B1N<zy
zlg(6U?`$==Q1!SJfEU^<&yf4EZ{YLyW>Mdq->B^|{SSy3a8}cZh&Ad@$x}~ZhKifm
zvWqVp3;43BB-btq8l$t`3V}4Bca*rkOYxMNr!BpePqob2Ld$|#3DEU-$<i9R#2rZm
z0{Z?&qYDXGLKng&q)RDAH&!;e?O^SK$c5A4^75zi`*N5-n+{$pT1E;&F}qgXj*QM%
z5#9~mjMu+wrBz~G74fXJ*Kc1689^h#7ZXv|O0pa02z0>06hBMEVyw;usJslyG@SF0
zM6tpnSp=%H0ECO8DzY^dosb*>#+Mc8H2iLy4Oyvq6|Sj#oGGl7H}R2!f_@v~{tQXw
z7>t<MO%?oxnP?c@wX_SBm|^uK*X#uJbUAB3Qxeb)9L7E7kHD$v+2i$f<Y7(?2|oPl
zxtk4>^DG*`>?tOKw)!`CmL}K0*bm_e2>cBS^>}7w8FhHS?;1NJLwRYnA9d({B6qd@
z>E}sBB7ma07Q35M7jM%R2Ev~wO27qcPgEt<4Dp~VwZC2~T0BVOqy!`P4KODeo8Tdb
z6jXFUfY^mD)b3LW$~>D&OLomm!O1W*j_KZA?s|n8$lBkU7X68C`5p~4wWc|_<hBhH
zg1Ai@XE~LarQ~-i)kw(9Jx%<QMy*l;#EBceWM`EgH)k>1w(qRlHK$x?2;+W@;xv17
zd=!7QmpcVpzCsxv^*gQ%HLRcDC4w8}6j+tttWvR@SgsdAUi#VPyCmj`<-V<SHVSD#
zRH2=q5W1zEJ1SZ}lOanqya6LuCYm(N{KCeiN#_v@K7dO==;?5xxhaS?fTm6=Jm(~w
zG7mpQUUcgR(@`jQY*JX~zu&bBs}?sWGhuO020?`;^InqLx3Ly{zY)n-yrD#w&&m*A
zkd;A9a%<CdKvF3<mwDxCwjLvpUDM-1ro`U<`PouVeyQxMxJ{=S<tQl1Y6Z=XPA;&`
zQ7RLt&7%Z>)+#5#aQIpGZ76k2@s&8R%Cp8vDycL=C_SE{1D{t2v(jd*;+@q=Bf<+*
zU(Tv53grMdD6t8umWIkyIiU5W6H0nZwI+I;-74*D=;pfdBRD2qp&Or?0!bk5rWDT<
z%G;jqYUKZE{AlS-F%$Q9R{w#+KbKF$rDiN`D+(w1a|YTR!&usxDm0a7Gd(^k%aHz=
z(tWiA2scusSkv!uoZiRV2eh-QIl8HKq2z4pQadB#r`T@$xd~$x4dowass0qLVc-NP
zMrJT!_n?V!yL{%{BkDHez<s^Z$;Qgjrd3p(%4l3gI_7w$X{z#|XOQN20^f`x+E^5k
zTDszV2<^gJ?Ryn|nouVfAk_o-D2O4XLtcoOP19~4*L`_z@cD;C1su%sxIK>A1w$91
z)V7+Gi5pEc=GAZg!&4h=^syw3HY6oMPHG8GDu>^;<WZn#HV)wsGE<@(NtLSU$1$_Y
z7RlPg2W5O~tfWVC&#vs^)4!-el1BTzL{*x0e|AOr?<G+R2~tOti?P8ZtC&&!OQQ&*
z38Wkcmm*w6eX{&ud!cOG(!VBaMsS-W3Qc>Dg|C{&PR7}T2UwSs%B@$clhD|&#NiHe
zjT6o?+M`;mm?#)+oH7*htytfgEu@8>zC@9dKcM_7|I9A)*SN?Q6!RKoF?jj;_f^nW
z6b2jR?C7Dz>QCetXO6)PTO=JZR&ry}%V;h~2|-O!a5c{d5pUAswFw3_QpW2l!R|li
zAHJJ!c?~pKd7|VhfAY3PZElRoY?BC3Hj(i5L;+nAxd$6-22l1u0;P&fOG{x50b4Pa
zt4c;gZNyRvM&N8K|E5JKpP({b+qCuH@7BMV0{mkX;))B@vEo_I>~`4!q;K>;Vk3tM
zijbUd1mj?W)W&x?5om_A;n8*~SQ}QrB%fD@?96+xcXLzY3$dt1&S%<olJH$jl*u$&
zQr~Wq*O`q}dX&AWmyGaBA48P8r#6EJYF>N;MH$jA_h(5JwM$eQvdDn1@u&n9@iZ01
z-$#5E4C+e~ka`z2h@y5li=;+>xsSK*y3}mJE6bIQRR&1LunUOW#a^?-U73ienVnO}
z_8-K1FBKqxjXH?ej`&TD4a+o8xd4AAy`e*tl0&@Lg*rt^Yi)rLdgJ;T1v}t9O*{eS
zw`4;+ELmOgIEi@7X!tCbEdQa*ZM0Z1XSH5`{qbsk(Bz}b2Fp(1mghg?3JGKvtz_gk
ziv4fTviP%NLjKRqKY{0uognLj-%Gjg?@-t^Hl`=tuuse3rxta8o6}`ckgss=WwQ9A
ze^B`MLr#x%r(qr_#o+@=0_l$;cf3WJGJ1a=zgcBNO@6$7xwDa?{!K?@W!;(aA^!CP
z?hn4y&{I}X)N^DmL|tXBSQh;n)Z7KnPAk&7myGzxM>=nG{uGB@xvG7W|8pR3;~0vp
zh@E}C>Ef(;i+XU}IF#9L7;mbDIFhW*>LT%kc1EdQ7hU3{xKh-Pt(38!MxZeSM!~dq
zOOqDs5@{N}?J`y295AeMyU(Sqon9~WuxPA~#oV=`wB;^sNysPsg|0bJu2?Ghvx=do
znyI<T7rlFN|FnrutX~l)D9G4NX7L?ISg=!M%!?-3E1$HEl8I0M@b0C%hMG?+HF9En
zOjiHi^(zzv{vR~31SQ^Ka(usw{cNH62yS*#?LTFx5ok%e27D(>EXJ*uFIdQ}E!GqU
z;8Z?CkpSN4Q&b5GT_Ik+H-tt4rTR@|Zqw5`J9Y&HJrZ~|4%97MuW{tKs^DHK#-upt
znB^*gSez`SQpL^EMfN)pk?n%Y{xuXPE()f(9G}#qMIkB%xdN;SWf9NuFxj;9IaHHH
z@mU95U{QyyvAx3(U$r!M6$8$0vC!|@Gx_LAk1s-I%(sm-=zpP|Zg23R&~5*i14MX?
zlPK53w-2a$YwMeT)UEEj2Z{!Xl91US1CrDiBE_euSVh;{frtI15N3%+hE0k0Hz_EQ
z?GC>zN|?%g9f5o86X@~}@PTrlt`UA|T-FwdQzypCUiPn!fdukXVZg{X-lMRAX0vBt
z4V$*hu=%jhn4%3vRwha)V*dN<S~Xb&;UCnL>%=$TZHq5&KHpWN7T3_r4D9Cqf9j5Z
z5FX`MD06MtKgwIK>E%C<=Jz;xd>WP)`}yOpFd3sVV1fZGaEi&UL)!f{-~=TrG8Vs2
zc9t1od_oyeU0#*!Tl9_Hq)K1aCM3Q>$!tZiN`7sh1frY*J-_tqc&|QeX2%~Oyx!iZ
z{+H^E)D&lovw0(zX5#p*m6nmKC*;mDr8+;4qg7w%R4-5TFAKeheQlKasBdL(D#}Vr
zqA+{)&+6<`X?G$1IV0UKtq_Mgax(H7$L{q=CS_R@&yN(8A$bTzf_wdK43P56vu91N
zd9?B;=PPM|fKPuLomg(8Ik~mDrE{zxR$+gF3Z0G{YEkr6huFs2u^W)8h3>^tSD*Z&
z2ukXAFmYvdW$(V`(hg6(`-k4wOg=}&$*%gFGCYZGx*^A~4zAR~RdX@RwN=+-HfEBS
zWAN###s)AV_IAeVzWrZ_UJf*7nMC^G>FC*46z)=Mc-U<Ii&!o8y!@{Y`GXf<6ixKa
z0quOqjH&c16oOIkza<Q($im_XTXmbQKZQKtHRMgltNCl1Fsl(mq3iH?$5$577q!mm
z!Ht8LwOhktIbJna0WD#BKa2kR$w<c0_@b3(|II&fkNe+$LhOIY!*I+Ua;;z2AR*Fb
zZj3L7b<)N~(kVw*SgbEgEsvW_^fYoguJv+0lwu?Jp`fv!q4_gpYyQJTYzbxNY+->4
zFN5a4hOQ6rODmj{iU+TX<-Xnem1O-CMIVa#{0ZBeUntW3);tQx1;eQ>!?ys50Be;A
zAt&7#btauRXL^q)uks|HA_<*g_tTMSL?hxN=fnQ1g=i*+pBIH)P1ZmDE6h#Nr$<8>
zoE_dS5$!G;ZYbc5V)p*lEa9Z-PMnWSFcm%-bZ$S9f2@$-|GnU|zb7L}pgNagbDa~x
zmTQz6b+HSB!#awXyZ>QAyvlC8<*sn%rN7GfUr8i!GzBNkIA?RnyyQa*AgOA<$i)L3
z8b}I?X8E(YHWMl5F6UE8_@0WU%&Q1>{Z!C2Axs6Lx1;{VLmGXK^PT$(t~1GUc))G?
zksNIc$52b{ORmxMTP6!ck){BFH?V~n;~;&Oe2LA6(<FVZPf@xQ&F5$9Y*%NM?;kkk
zPApH(V7ghG>>(?Ot&+#M02Xq`YzwFR<QBCQktx5=O8)TdtsNouo1fS1j5c31T>gk_
zD2|O967gMfO5Ko6DH2(}L=jf}TI~OuwE3nMye+=zW{2yP`UWis>eYJrTnMi?_AyvX
zK-bbT=u5nLX>W(&sHf>RL^iHga{UZtU3>ozzPV$S_m0;sJ?s+*O@9a@%1XSd?$Y?z
zc|%KJm_u>z$Sagv)5~~p=(3!&H`umiVm!o=S$Z99D}U}}Z?AD|)c2@0C0dyk3yv&K
z0R~)}Kxow1t)g8ws~v*{4gY!4JjEft4nfO%^s4PBZL!iwPtljz&7IM4B>&}hM8A-u
z&NexBHhZy632{~d6+H&}_^h*UHkA-rb$5f4V9$0`4V6y!@8cJLs@(;wo#{V+iU0f7
zX@sG!iEDtJOZvrG@g|P^%ny@jEFz9?U_>KEw(r<m+<4{Qkh1dc#0ef|1Ju6YIE8sZ
zxK_+8|LQlnQU6d9w{x1mRA?1qYUfG{q|U^aiZXpT*j4-oTArVm%2-^&5){QK)pr%j
zyNYyny({a6H6t|j5C)C-H*tVugh&k9I~w|za2G7qb!tM3RKvB<tK(v<w*O}VpcE61
zVNuWh_F;Xd-lpS<aqMGGW3%b)oLl6x^W!zYB}tSgxlOe^4qM1NyNk^^BPxuY_uKH<
zC)jJp@0h>kO(c9IVB&s1SeQO|`D$^TKeK(<Px`biinD++k!|ZmaHT9Y%klx5xgNhd
zTxX??8(Piz--&OtRE4O300C_ZJx^i9eb`bs#fqQEbkyo5bx}{5C!>c~a5xceJ)AtQ
z6tkkL*wV{r+eJ$4ROd93B)k+`=%h-@^Rzifq1}JG@Vx!d0pP61)$~~ZsV23pngwK{
zvlPg8AZ8K2dmIe(Zgdw46D4tg1bYv@nOKb3j70`)l6Qq3|0f%6YBX<l6gPNFYJ+H8
zVUVyjb!~3Hk7t{*O2>^Q+9=L9O{NiVv*b)Q9LC<T*ro9_H2-NE$ONeALpsL-YHjX;
zn2Y)LeiI**ejO_?@XVKzNbSbaa>D`5V{nH8P{u-!zpI9w8Qyl$dvwJX8P@=00RhS-
zTexxAofe@(?Lp>!3=4Vwptq(v_~G}~2h+Eo7GpZ371CPUpvwte<wlmu=+<YdBr8+G
zNkt2>1&irXWP!xMAxFP;uPVM&?%Sn=4}X7sm?xund13yaovWfcReg87z@^0kqmNJg
z>=Bj5kihd2wq_0?`R$nmf5M&|eeR0h<i|JJT|kjK8{l>Xt;~QA&=)sfg51(tD1Ioo
zMzouf?IN)=Yg%xWrY5khihj>}Qd~zvs)UNL5GoBWC56srvSqMS2rvEHS;tgD2I(RJ
z{M=<;2n&*W0T&0odV0>c!Cb|#o-vE)IgYLW_+$(ZQa!i#?^;(^1*d)2inaR6Duu;|
z#&M?ZzgXQMp7%1N6&bNue?3O0quDkv`{|>5rS@y<OV0Sx(uv@^DpoY3^+cR85Z)+q
zR7_pOdDXGRh?f<ON|tCgn>`?63J!<vwLo66KjnX~<2<%+<3UM<+3T~tD(xzb%mUdI
z<*9W#^}$Tf%yubGFBD?E*sH(&kEU}Di~N1taJHLlyUn(3+uE$n=45QPZMS){xwRSJ
zylvcE@9gh5-oN{2j?XkR&vW0`b)LpJS~HVuJ?j9uly*gGDRC?Xav<YS)0o{TpPh3t
zD^o^C(*gZ$^|JOFA#dVJRM@5g2g3#HPkja=cw$S>&g*s<E62Yg!cy*MkU4wD{P^xa
zbb@I66@RFck1u!<8LV%rv3)sX{q@Y>!J9ZJkPwZ@eGR9Y(@pNMX;%*4Y-SIAiA+m6
zzj@vX<OMR;9H^+r57k3kJdG~JC}_{1LI%~7A0!3bYl+w4mRE|x(7cx^LbN6Qj*7zd
z)M8X)DUb0!R=b9#?)ndU6c|#3ps*3Fz<|`#CKWL=W=v~5DDjmq#-0U}C^;kvzOLYh
z;H$;MF{+&qhU@7<%^V4T<I!1aCoF{}`ubYq9~WQN!{dUJoS;^F;XE1`j-gSWu_<)5
zWQLr2hVKc!wkC?D>)Ho$zsrAv4P*4cYdReV%H+XI-@}D&C?<aC%iVYkN_f?yJAQk0
z9@6lLwm1$a3J+7!)=d}z;T1!_MX0PrMWsexuTG=*GACMCU=yS=lnC|F!O|!s`wsW*
zD3JgJ<H8~#AWAQ0GhLf;fw#)9<qy{3gLy4)rei_IRe_C9)of<!V2WSN{Fu;k=izj(
zz|QaO^Fb8^_4NrO8apT9|BY0fkK(f-IUSdnsq`PLM}Zvq>&o3&GkiGNq5F82gVjJO
z(3H)%iZozj;bw1MY8FLFT1uLTevqPXHTVo9J;TVOF#0SZX}_hcoEp;TOiK|e&fp$~
zPGPeRCs9#Z3yZLNI)TTTwVnz~tcgjy_dwe&tFrTFI*xm%`v!j+5>xSCx^+92vJ%Vb
zc4Ozxb&Wy=zN&9;ZP}U00ili`$}vm0)kM>9c*c6^*!{Tom^va$AnLkEk^Hu#24qfI
zLqDga8%Hl9u4ACC!{UaQlC7V1{sZX)>FB35Y07#v(#oQ*aq5DHLsZG;sv)8jyS1B!
zCLtY2O#Pf5HC&^ls7B6!*zvmpwP8Dt9h8V)0aJ|BCEYJrCX`TsD)E`REXjX%X)Z<{
zl?uWO*Gtf{=YfQ(ZS{ATOB+Y6eUH5Zuf0aKf>t}+?lF`?2@P<~-CsXj&MVEGDlG_x
zS|S`JY&x8wtVHD4pcY`q+<DCqe_%oKxY1g{38FBM{Kr#XVM>hD!K!Ldz2rC#^3!l@
zDOJlkm&slpX2r>kaK0G8H%yi~id3ePO5CwW2Z&emy=BpGQFx{(8H$4y%5unA$o?Gq
z3V!rxP?LW>W2eOE)8xWh*h3_e)<{kK+s*@H(o<tk$y1=?=B^cVOMzM-T3kPa#u88H
zRw+zFN(6`uvKVC^r3@)@9!I}h`~TKffVP%Z_<OOb8!6TK_|j(4KGegwhv^9^vSEl4
z5^ywWH07fe8RzV082kx!X;xtOsUl-9RFtQqSqUr``GUlPa6YwB&nAoopQLI=j(Wn(
z!VNhbu~2A=Ye|{<FkI)gXRe-34!s1Nr+!96&@twJoUNzGyrCM^a>|)RamK<@=((Dg
z&VhI8_*q8+VW;#zc;(!CSiNi0y(5xk!rFEeq@J1zEXiBR)>HCso8SloJz-F^f0D-o
z9b*E-D<U9k?bBci;=hfVcwnh;>dnYka#<2%i^tO=M$wbhPL;rm_Q+5f`Mp3tEKjZr
zNZaj`P6+C=mB|4>mh7^-RZ$z3Qh&tuD2AACF|p^3ek5AmW&u;G=~?CLXVOBdU+$@v
zcO?l&-J8@!SxW<0txLZs_vu-((?ROBTZlTd_w7Z&!}dX>kTXWD?1t+6!q78>v1oQf
zXck+GIrV0(Afkkmsf}qrkst!jS;-X10zNFzXuL@~<ferrRIww<{JvMv=R|dN7&L0+
zY)sjndsMJ+L#uFkU0(?Q@lB##D8<{h9&OQ|@zq~9w0?q)%%sShy$<9?S=V6qVxK_5
z?4K%7{UPw%oxdnQ<$GjtTcY}cg$nb8MQN|57_J8^>r!<ULdv)HtdZ<dVhh9}c^fgw
zOx#A=`}z|Ux<$fe^jJ?}_6NpLb8g{vYA;Sl3mftOtWYbtAUFpZu*Sc@n4@6vX);a+
z$1*V~8%R-L(aaU4uNzd9L1&HZ9T>Yaitm+4_~G~~l6mS;dh+SLPW@874XUL~kHELO
zA5{|nChg6xnV(}aeaqAQTp<8K#m30=okl!4X1z^BxLIXMD;l-jL|!V=TsQ*4OCyI-
zo{F)gl$-*FEA~2CpW#EuBl{$W2`80wjlM^PR>eh|J?Ef+F}J=7j<sSFR+-SqJmz)V
zaSvq~Pp2I|iVk;_(6WkNjA=7X+iHsKxWQ0TE22RsZzjZAhOopSOS4l@DMc)%gp1Az
zE=5P0{t!KV>9;3C&G&=sJ%$o9K1)mDYF)~E9w7^Zy?EA^rH*rwd2%D1RHse<>Gqx3
zIvFZ`V#GsPvq{`i_jQ>w>Qy9ySSy+poYa^hIXb2Wx)p6eQjNk-^!e%a7HOa+{qx;0
zZmiaj%~Lu}0|o0<@h;O)&SY}Xgu@qP??29bRt~k6V6!m=y%UIB!C4W7d@u{*yWZk(
zgqLtM>`8o^ARYQ}!0qC}$X<0^LADL~3{&Z$WztSnXHrRw*lz7zOWWRp0G#%4l<8=j
z$+p;vjtq;G1Q%Deo06`V23gfH^Dy|jc_Ec4S)r2pViFY$23ev`^TGdRnLfQL)w~Lt
z6M4P-=fN_rz>5Q4*1N!Wp5OmGsOS&RJ?QrV+l!B+tw{Ic<SxzvD}OXKAbd|H$<8mj
zz_Yk4W%m<35<7?(G|&Wml*_@!6Vx7rf-TA#sJG1y-lF8pTwrnuf4yWTH#v&|SBy`C
zOa#LpomFQX>d=b`vQIf?>68(g(F}?)jh8f@gx2k>JhP|q5NSdR6n};3<b1v&airvf
z(^%vN!2fY`SnG(^?Qc#W#PDuDp9P<1wN;_6$a`;oKi5cMo4)Fohd-%RN^5({4lC=B
zJF7bsST&lt#HXQ><h_G=Bkon02io($3^>%c&HqpPTYJ~|KQ3e*V-PZ5rA<CWsmNr%
zfBF3sQ{(?IwJra}WLcUwh?qooimj;Str9wP`l-v%?Ws{%az*A}>T+h_7N9&zd=$@x
zaW|nf4>E%oPkMYND5CKtzJ!iQ@5M&Ro38KBR)!!$asQWU<^c7{f&O<3H>PfrmRBZb
z5Z=W|9+*CMW_XiK%Vbm0zq~K`RU{&fM*RRV3TR_B|FM*CAMutBjBBu)p+HN)O@Fwd
z`>Jn(gMe$*Z+;QcKd`aySvSdN>ezpM<>C+^vp)RD-RPSj+SCGbAIpFe(_edJ6W%C(
z<6O~G<eeEi-2EDjNcZwilcSr!NBf7E{jx62t{%FGsP#pW$2RL)EcOcPKxvYONhL!3
zF|61pOokhC`<2MrI6K7bW)(W|elHwdho+%DuU=})WuQ$5i9R_8?|P=}bPhS~7ieD$
z$|kEk+*|ubzN4=4SxjWS)8yT99qn#cpPIiwoMkK?^4MO^fJKS~!7Z$!fru4Gpqg%F
zMKaW-EbbB9$20i(@{uiQ60|g(HCL-QSbgvXDIjQmc<v@(nlIRL@W!HbB0OZB!T<{A
zxumQ0EvLyDxk>F-Sk!&Xz&}5&@<Bo@B!_3Zt~t>+1X(2X>#v?3yI@bRAi2)1a%v*u
zo;S(I6SmMnpIS?83PoaMp7mhxjPx|=E&%XzCrb9L8@J`PVJpKVCWPPYctmXvVFuM-
zPGz{8=C%<XtJ`A=H{F_`XXC)~eW8Qs{O<(sdm!lyN}Jez+1uB&0fOciw<MfS3z_bE
z&mS|hY0Vz+$6Hy?m;0sV@dG{_F=L7;L(04yT{8Tj$Zb+0>CCKZ6LnOzp8J3H6R^AQ
zCp&L?KR8_BfRUfJOauR;4A$OOh2^2__YovPYQ(j^m=0bzBaFMlY1lHjx_CvqddB|S
zU2-2J^u_Bm5G^Verf*d;|7VY4x?@G#oNAfq2w@~?9;b{Sz2P>gj<x3EMkOKwK^%YX
z1y2&chCflF|JV?rJ|fC8Ps=jD5^c+9^t%rpIWpSk%OK8mEzkNE`s;~+DqLXWktNwH
zev<i@U0%G=r$C=AtfMT;#C?}QtzmPN&O{^DBVi5?$y4#@gn(VsvaS>krLgk&jgvd<
z^@uJ8l%5psgEF-xY~|KG(2LFa&GU^*f1<ft#fed2smo3yXmaV==M}5ffO;YE&Z?we
zqpV?8C=<tHBcE*^+FW1_Ds$>v@8<TzWcs6<f`k_D?lS7e8DdYF<uO3IN(QqAw*2hO
zN>w!k#TCUul028`L+pG1MTT2>@YonZfS4Y}6TtoBS^e^k@!9b^9NbaIB?J_05+bxD
z4|T_pJI2uK%-(;p0o^IOw@>qcmJzE!xPY`|qJt#IudlC!yA=26@H*}tz4d>$%zTw3
zb6DtAiSF>Yba=dfz<yKtTL>PzfGqlDlv9wM{6@*L%SCcY$v_-jmAcS@q_!E9MP?O#
zC3m<*&aYzoq3J3d1Mc}}t6-7BvCfkCHdsQjjMu4ODmr<r{BiK*W0;paK;$0C)UY@7
zoAM7>NB_ldG46CCYgr+$u>-J?_fN_iP%p{A$#W9v#wcQ8ILI#cQkUi^&te})+Wf+|
z0jBSP<83M`wxZ*)^6l17DCNR7C-8YRY%%|7nUBu7S%hT8s(}M%_)r~1Pe@7e|3)7D
z{gZPv1{K$&8P2E9$j?gPx}&y}_)R%a;THXET8498d;(MO$YHOL%n&8|$KTs+w!5~D
zyZ2u5TJN?IRy=r%koe3`+(VD25<U$l)Qc0p<z5k?G?lmy&XKiJYt}Ee!sF{%xPR1H
z6B9p@r|{hBLmt5dMLcqU_$zj!DCRRGoqw2gCbP#e@04f5U7i;DnaFqysP@Q%UoZlR
z01<nOz6aybH%}t9wF^HLs41i)r81<phm6OVa@31AwZN>37w&7B73G<K;u(L5I)1Th
zDesWHwU#D3*52SO0^#Lox}q#V@P0lX`KBXyPzEHHZxd)H8efSgh}bqL&LySpm9&Vg
zF|6+T1Cog`roqNShl8fBFFDU?`fhzW`S>(gPZumTeAW9Wk;Ov0(}ivf8+$R?QKrK*
z(~B{I@}==ar{u$naToQN$}`pFR!w{OGhr!Rx7~5pUs7aq_Vs#Lt2FX~-6!qu%IXds
zthq$XIokS}C}IbjQ%n!m`l6>;#DL_?X<b@aEui-EjGx4udt->OLea0h)(`*dcr0Ih
zaO<M^!C>B<jKvzht0S_$hR^+cW(mHjqYY&g%8QMpy=R~kgMJZ0231E~$gyiZwxtj?
zg;3f0FSK|lQ8UE?f4Av<^h`bslm(fS!bMmtKFA4VV3#$HI@@bW7I%s0WwWdK(%&BD
zCnMCthdNtpg#+Tgldsd&(KcIosds@3WF)2ek#&O4<a^-c#5Tl*s12GLO9Q%X1|Qmb
zcczX1RYbK5;zbQbeFl7s!oJQe3C`f8?XT-YIVThMj<=>pEhrDCcEdid7aK8;&~Wr@
z0T+<&mjD#3c&&vs+)c&KL&x5FbmMvJb-7}Gaw}o-CL&u%yjWK^EHc>b$HZO<Lq7^A
zi1-IRZ#^x2%jb-uK)&dmzq`S~e3d|7>*NEHt-l-DcTa;KX(v!RU`+7Vmzu8$2a7d^
z0R?iuP&0;TK{HCsibZwdgBi?;FMcNS%;UEFRh)mHxAYH&Tmn2E66(KPzTwjk$=Y(<
zfHKN{t@4VG+of}{SQT5bM=OiL+bbF2&OP%Qa<IqY$ioE3J}Y>{nSJH^cFhCj6fA*d
z=mT|(-$vSp7&xZ%HR-IJGmSx|cQG<Pba|mncSue2VWDCIKW7I+x#^lu1099}nkH(z
zdMu^K5Y3O^3PdE)DDSo84mwT~=K0!1+=*c4x<+$7RS<AH=?v8^X!tFlI-mMmxOeU)
zqy8#CFPwMcqI0C+*d^;YQ;jnp2$vpLfT#A~P#<*zwk_QHVtRdJ8At`R%m$z>8t8hF
z(@If&>;}x_vsg-wk4?)nE%^pkR7=(5*0YMq(^U|Lo~}bo2#?u)N2*Dy05EstIl)Lk
zTWgTtw;^X|!C;&=q<z$U73l4$!cFE)R{`2GS6Py)!DV$iexj&ZTVi94DOsE5Q%s0Q
z075HJhI!CEz8M?Qm#HI#DpfM$0Z-X$E#bWoVYt`LnZ`<ixe}eS$(i1@5v*S+2{1dO
zXo&<=9Jkaa88)?#OhdPY_?OQ+v>%kr^1PesLbd3Oc(mbqbl;7VA_~-~Q%lu75z7q?
z&Y6|Wuxlvc^v`1$6di$9%R1Eb=S$%s-Zy)oQm(g);-@LAius;#vmc&gvYEI{*j*~^
zJqY8@zhn3s4_Php4Yu?w^7*}=@8#k`M<drJ3{KdMldgS2vUWYuZloaQ0l4GBw6%0t
zYPS=sKOl0lH}eOYWgLa9>U*|udd;%MPw~MgNN%WSz3C#O<7pPD7`jxGH>*i+b`+y$
z_*AEG>oQtClb0`SEP=?(;0T5(U9JC_w>}<H8Zw%jUxXF|5*)z&dS#Vjg4&SYysF2l
zq_mE&OufEQZ+IAJg>(uDx?P#3>`=sYSD_oF+2m*Ht#6A#GQM6u`SkKIy)KuCir_Z<
zCP;9OhBa!I78$z8l==|V67D&7mm0$=)wXm7vZm}qV!i>us*_@zsz$+QW%IW{bub?*
zp-Wnh9#^oXp&H_PW76c?SL51aVsQt~EI=a2N;<BT11ev&M5<b}t@9q4)T#5+Rcupn
zz9}l^hr(=YvXir^pwPgp3+&XFNlV;Bke=4q3yqqBV(Cgs6T3@%_+^4Q1~}xOb<+8E
zT~%sE7LaexAgc10T@mxNf@#+qAgA=?K<xr~R;u|UT!}FiL{a#;ZbxRqP=}5q@sNJ_
zFa{A>_b}gcIx33CkA#eIY)x!GBvf^=q3eIpApNvu&twSCHl>j=ZvGnZJlJ3e(f_*t
zPd}}~?=Mt>3tYFvz7R#V4?9BnPl_CfbOvpVbuU%&LY1J5Af18a$0`@W8in#Zy(F6M
z4SIqanZ^+xltNCSRjQdfu>>o^1)M)hznre{&o=7TlT&T_Jd^kP?i@im`}@^1oRX0o
z$rxMtJAY>?fHs!7hh}B|n(t)aErjpWmiQRtqeYiK?Tt1=5PTwPadD266Tj{ZHb_Lt
zL`A<uI-vtbp(PzdG1)zr{La1OuG7ra>aKnRdm;ZD*s?qR+cwQ#;HgB}+;6Wn6H#(}
z8puYsY7wNR$kMv_yPAuL^%3w)MQ9FAs{WZ==Yyp2i5m?k?d4l_7DFJXupru&P?*c1
zJ`h_f2cfO;MI6Pv<V@_+OH6TavYPEDlJMX5Q`5z+b1%|cujI|T;}TTjvr8;+M$%|m
z%~;<N!6vLea?-L?2y&(V#*Cv-si5UPZGnl6m65=h!$(cS<$r?R+jQ}EpF<<-F}7tI
zHOCp3|H*6M8iJ*+_ISz~zn;MV5Y&BBs=yYDu|dl3z@QwjNm<|v^2W2KqK59XJ41@$
z{w~K8(~`)^AASVDwkJ5CE_(=uRj$*<5st6V(68_>NO1<UzMLr*AkoP3!VklaB<O8m
z($g_kR3%b0dq`WcFewWZ%1S6_c2;kjbtK9p|4hZU%@Pw`Y7FeLOf^Z#NHJHzI#8U|
zgt2OQlcy|cdD<k(PAj%UJ08xQW8t(_>DqT9&z%aNP2HeKkH#q1ajogqGc)*FZ|iAX
z=CG+n6LU^;`n~@EyDvDW7b2I~GqZC-zAoLjM4Y00WK})=dRC?OYq!>yunFO(f`X(7
zd78ndW5}npOs9;|mcX=~{tqqQEUJrf4nkyFo5GuBZi!+eh+@dq83Nbnr@OcG10x}A
zjUa|O4-(pbcTP`B1ul|q+9Cn1ZQq%_FewV3hrp-Cg>>#1l~xK@ki_xDth8G}Y@E}g
z)KNMYB65W^zbqZr|9TOrc>z>ja=7%T=C$IUqzntvHwZ&bWo_WJfA&3HzLKh1Ub9=<
z4R{y0?5z5DjHV+==8f`ml$5tUzs`aH7=SMyMl{8trrsgeR2?~_fGeXve;g<;2v0bM
zLAq)fB38$#CPwS?mpsi4l7sYZpSX$}nCB3N$;WUo^9Ou2){Zu*^>jqsE{Ys<T+el!
zY4jv+rlXOSz>$zk#vLb&Yw(mRx_9W_#&7QYIxIuw05pC5_0vydZ?-)K)p&mSd3`3Q
zt&4*~C{_d?_T3kpS^D!}KL6M~_g#LotKDK>j4iWoVXFEz!BHvWzj0qeL4bgJy-hhx
zP@2{-LGM=B>y8>R2Pt43i3l&_`vWm^b^!*2K}%`OaIENYrXr34#0-c6)GmY)hs33E
zYM{D|B|_+WS{&`yI6Sh3we!VFee$bfyzye<x)?Qy?fNoCfu7loRG8x_=4!YqbviL(
zf<!4y1G%`|f{FOHxweCdO_|+^Fw1WGwTLp8bfy_mcJ9bgd}sq*Pl`!7{}(iWv2#m-
z$zj=&>85gBB$$HXChH@sG}p>gLEzm{w;Yjnx~F#f9_Yp=J^7AolwlDHX3&@qqGm}L
zksR4P<65N7#R>m7G=--sF8(58Ki}}wim@jmVvUnCSl^x`xV=G<aH2cSv!e1-(R&mX
zZZ&`}-5)gzayBm=)ldFWET7VeWs=hk?vLz6`1~b5cDDSuYB4p5ay<m?>U@jS`wh$2
zMhul2y5$8{&6R}Kd6CWIJkJg4;M}W7iXv_1p%gzXt#WN%OOh8ZdcF=30AE0)Oxkbz
zzM?T`Rtf;(pVr>-repfd^+T(J96o~BOKX(6<W%DX_zU|$eQ9+%;p|>H=D#17h#=fK
zwKC1o&w}m+nA)%gcw1?1F7q^+nt`d*@`%%=RL4?I{BJWLG-_g|#}i4QMAD$M-#zUb
zFfIDag|ccu&`_m@SHIx<4fUqex2v@>L7yqB)tPboAIJI3etbCPBEiOC?(b^pX}?6|
z!n*@>nw^d#>^0BvqNMe+s!~Q!l<-_wcRn?Xi7)~8F!tuf5o#P=1a(c39Pz<@XD?e$
z7UY{Ogft}SLXHozgy2vRO$A@lIIhyfA4uDx*eiTgfU=MxCUoW~aXrb_jkrkC9A}R2
z7BO47ZtS^3dZahpXfwa?{oh>}!B#?P9n(yPrR@z1Z<@rxD~(<wdY(gkN#$SBKqCOZ
zIS9qgOzG_WwPT+;{iS<`uD1+#6t@+o-#;FF&|}g{s%K@OLy173(WIm(&(5U+8qo1<
zUnr1HpaG;atH@_(iuSRf$r52n)YX`9*Xwtb57U+NK!ApmrM^&h4#>a(S1^t6wo!K}
zJDi)TS0Irke{FdaztXl0EGndOLaaoWq3(5w^R{<RNtsFnXc@qUp9|Nm43S&esrRrV
z3JWo;5`F2ZA+i`CiLgxrZMRE=u9f;1<&L}ue~hDI%UQ;`%A8g6sYP_lga%HqPDi53
z8K%{JNJXCO(a2;rDiD+zEXA*}#(YtqlnH85@B>V4vlB)J=LwZFbEkQ;ZVnK+$$)`k
z%AU-sTs>14#bHzo;IPaI7)xuk;{kivOG-jiIa9^V;~{LL+yU1tDE6NUr*Lf=vAy?$
znuf5C_XY0V3|&dPPxnQ44FaX02RW=yCOwG{-snQ|sCfpv?T;R9j=ItAs=No<3iO_w
z#L<kB;}~U2S}9k_)17rqxwDnujJ;|GcuM6hnq398&KD+dT-!3dMIVcsU#CSbad<>J
zp2iFJ#+G?)kKbegbY$Zui4vI{l-y#glily#R+La=P9%HRU=lmJs#;ZXJ<#|+Dk)<u
zS6r*roeE{opGZ{0;JC8?%y~yOaz5n~og6Z_T0@w`97Wh=)hl$US~(K?&{X*;9B7%m
z*s#XlzjG!0RlCGdKJn~tjDq^N_zWvjQD`ri-*62xUmAOF3tW6gh&0OD1Q!nf9935q
zoHwUq2c`WUd%_{JTf`qtIi82^DgTcRKFV>>P8&=c%`dHtnL#oR&81Lwa{$U3&7&$k
zi~VM=O?ZRigrf2t#ZNT~G;B^@)m7qMN^7YlZRUf`LtHXffl|=HGFBL%FE>U6KbF!8
zl@{RnNyvf7>IK3ALuDR#n&;PMGEm|<bJ2-L<#u_-Sz;m`2a5A{pOzftM-AdH;pgcL
zyUL+kP2DVd8}S4IHMQ~$L*G!1%X@X`t6sUo^o)|uAUh$}O<@i3duG1V*5`D<F&_5}
zma+Qj$l3P|j508kXYQPP8_BOQTQe>0ZeHO(c&KQD?}*RqeX26ArSc?9+cX@Y@_rag
z4Be7ixzhuT5h~;9|D4r*rXm2(ow9|V?xdpwqx1<kMabp_lYGBmqp#jdnBh;~+-%4?
z$Onut<o1$J#4ZQ*s9KEdi84jc<G{~nv8^V3ZLWu)I@FwSukMC%Gm1w&C1YvbJC;PQ
zEL~Ii`*RJEJ<>wTm0KBjHwG=>-CAxF^Y35h!n-Rsk=?3}U*jZ|znOS+j(OS+ih@r{
zAIl0kPeIEbW~##PCc5}QAvuE!jDsp1cP*Q%r@-yo{B3^L{g4-gT!X0)QEQO@7hlIo
z{Uu=e6I*bu8gu*)rK!<2(q;*kP1d?G69Dl3ViAX$O*&IDphKXRsFC8RL}j|IP>M29
zeS%Q@^B3!3%zFLi?ml}a8ht9_n%Co~TI>g@_jpyIho3@e4#nT3&Vs&|J1Idc(ot`J
z1cG8kc^3B8*l~Gc(wWo!Sl^~lISfUnnmTOv%EF+Y)v{&xk3Au8z18Wwp89zQff(z4
z5TwB`N*hLTW|V0SQFkMI4l!!EI<dJH!hDJ2D&{Md>yIFv?-s55<^WtYDL%+tS%X;2
z5e9QyY9jUhFU{Lh>m0HRye03NkO2KO7En#C<C1tOTgtlFMfVl{8GoQKl7~rxr2lg6
zPWs`%5B)KAcGsqAdI}W-2``FeQ_AvF90@>aSw`1Wd%5)QD{z<WrAR;pMLs?G1GFV8
z50v~R*nE=bp_0S=5)&JvP?rf#h=R4XF<8*$_&T(~AZH~y!*BI$z?VoOudXJJ9Ma!C
zLZLlb@{;C>*1}ns)7$CgHDRqxNY><r7Ie7_!Nr^K8x6gUOA4OZcon^tZB3p63{e#_
zvcq(j|FmfS%fGYd11c)#0gVrSs7yR(W|YQza<-}73~e$=SH@H+e}@3kN0+{KH@DMY
zzC3R;#<b9|x!W+KiEu@lXq7g)Oyv6>XB&f%#;mJV>%PFP#2$S|)Ypkyo+QS``bOsy
ztXr$FZiQ!TTSR9T*R8Ok29`C!1mtN0nvoCV)%iw^?UA!96H?JM&1c<AGAepf(3or2
zkg~o?5S*T};<EPLFa1jhE@C!U&Qte#mME4f5Wp#%GAP*p{3A~nM<Jv{zsinG_B<i`
zZxT|-g!L8g&ItW@6UngCF9Id*!~}6HKeHi_T7K<YQmU6Pk+2<~X_1;V-ZmoU#Wj4W
zuSs$@AT*|>6uA&`PS3Xb%Vr}W1}HmxDkFgjUxO!lUA}LcM}Wq2#Nm>)Zg<_8b}~Sj
z#USupBPD0?HbX8!X<jsXHUn4QK>3n=nM$IvO|wyvK=EspnWt#S>GpCJTwm+k;PI$f
z=<Fx^xQ@>CB$&#Hx26_WNNLonTf@;c60caz4QAg3M^*oVW6z2L!IHdY6fIAOG8R3h
zTr11b)hs2(KflvlY!O+AkmFf#$QaY{_sH0kWJW@sq7SXqgpwK$qqxF}vGc+nS-n2g
zFlPU3LDASQFi=R)6?vneV5%<(otD*(mAFiN3TaEPDe=o;3Wd&F&aVGhPQg7ZlbU~1
zw!e{6%Ui2ePfkX;cZi7B`02Q$##d@tO|>r`U0Jy1vBP_E6~U*G2L-nZNh1ZNfcovY
z+VMyc#t?^nvzzYjknHm*63;}g4w^IUll%&J{+IEL=8&ZjbL_-<2`@>A0zA$qjXe|i
z4kKYPn^;5&cH-Q~#?)M}N7=1XIgJ51-qalc4_^Unl1dp7lxWc7?LyP-gG6Zx^(aW2
zw_KqvjOy*qijD4*&DDq46~*{EB<u8tIC;x=pr#rS+m?jtc2EHWbAtB`vlbY1uBRKg
z1|n0^_s{-Wu)&|v4Bp>?v#^iXbWPv>=L*m4ecI&xlylObcg%_aLNOgo{7Zw!{QFzb
zAOGFERplYmR6(PI-^6LZIMk)<tIF*k-Fu2h)i}l%tu2Ml<^d(0Q>?IWOZi;m$Cp)s
ze_IRd?Q=EUjQM3;xbVRmlR1tXu;DJwlqSHFf^$%xFFb6LX0uUO+uVOiqR6lfH}5+m
z5Sc}`rheV^DjG3`TQ&-n=3`<WFbJNnD10t^xOrBpw3z@p8CggX<-+XnKj}RsI2KCT
z8Vh7S2$msvwH4m4qeXv!_3B$wJ;ndQJ*yVDR_1#jNOx<p<MlkO8Qzr$Q5Y`y(jMjV
zHI#v;=dX_gpMk+k^nb4gTzY)nzBB#3PsRJEZrnzf%nhw>AZq4SSS<%9i-0*E71=lb
ztF<QoeK#I=(T?Lz(irfu7?&!BiPRfA5qa!Z4LHCCr_$pVzoG$@v;&W^;bPa+Jpd2A
zLgzLPUa`<I`q9?8vqr-<dWQu-79LDZMFt)VPNxM+rH`E0s()GxKQtmz_m&AJb<He#
zt1u7i<<-#3rjKvqcKGvvrQT9YVoM0EIjfml65}=Heefbu+xb7i-DkAV;YI58c}r5T
zl7Z#1eszo4o$JSH;PD7F={1C{;JV%sJd+zF7IL~YV9H1B014=kfn~g0QgI3HqFj2g
zcuR8r6vGVc%`2r!HW>6wp4)!A87FJJLVCM9Wl^ECb;TGrO@Ok|W`|jVTIQA+0YotF
zr?^lK5`!ynQ5?D6+xKkzIch(DC&QC}bgw&3)e(=0YTqkqJ4lG-^~<Lde7ST|h?9ky
z6L+DwivdV*U{KvQMkyQCXeM7t#7DejTi+BK|6bVM3VH`Sx2JUb58NkH2)|bDf)$Ho
zHzjcS^x>qYQ<1mj|5_)CHP*Y}UGr(;3%JkXf`5<!?Il27&$(J&=08ZLWuz={DvNah
zuHD6#s9|~Xo=s$qQL*~D%>__GV{=1G3{36IJMx7)1WN}W&z^N9C&z2zG}Bq+bnsg4
z`s6xw$d_KLRy$%@5DhqU9CYXvzyC^2Ggu~G)>@F%E8pDSS!&27$+${fWGgr;TL$+}
zw9!u}vPY!Y4%Q6iB}W2Kj1KU{fVc^qhVT_^DnZJ|#TBhmOPGnW9gM7u0j1cbF80k;
zEenHiRTf0T>g`bWs9UF4HsPG-ad`QAapzf#+A#87@G;ss5&RZqj)ktU9}L9`tA5}Q
zX!OMRzliz21y_xo`LG-P2X-sYWd4;W-N_=}tr82(6AV-SWi*pPL?s_hi<o{wBDf)}
zOJ$YblWhto{ADOzrllNHHrj+!eV7Y?F|wS${dNtu{8>%+`mr}3MTqJ*8$em)$Y2ha
zj+Tui>n*05JF{0+a94kLRU*B#gk=mD!rJ&zv4pDh^K~&RURGH1;39jOrsMNSI)~4a
z`!NQOpz`j)^b1BM1zuV%3B{EtalW-IU1|s*o}7}su8#}cj9_GEChZajJ?&Q$ffIY#
zlNuJftMCFy+m7Y7f{^f`SNwfB_AwF{5R?gapzP=fao&UMq#LyszUTz^bD%b&=y5mg
zNfK^3>wb$prnE#youc%rtrwu=3oJjc0Nna1GE8fW*`zBo9{eqZeEN9>+q2u%^!L_{
zCs|(pJPGDCV)Gf+NwaTqEArv-d*D9E!TXI_OgFre>VE-u2MI0#r9c%yIb!d1a~>W4
znzj-|%4B_p#LxJjOJw>WtKV*HNi$N?SQX|i`;!k`6&CQ@VLN2?YtRi`;$h@0pq&*g
zrE{T@-?;YbIv4nDSw4XD4#%r%f=)$XB2arx)H6SMt%mQMg^{;Uowpnl%YM|QBf|Xt
zLwkERdqNEV1Iim8&Fwzq0rXZ9$2zqdY5r`vti|qqls<^^H6X30(Pxy2*zwy^3Jqew
zf;?S*`T$C^%ZYfdpvq^xbGh8Fe+7!qy8r6Oz~a>%)B4xcr}vZa2eMrL!+6fOU1D``
zW4SNAAo$}M=@0l@-pzr~T8^&3r(_(1rx0<nA+^2Kpg?0IGw9>4kc@K~a{kFt^Odh2
z7*;WQcE={BLHM0XIG*2;NT9-?ZF+(hEz+cAiGtQp6J5P$THn!FOhPGM6tTSr=Z21n
zb&hMLeg{X8^GqYzgQ*;d03$=s_KI->`Z1mAK~U9$jLoe?TcP0=YcR1zFJ43r6{L<4
zXCf9k;klnz9NM(lEPB$4852;AU4=GW$vStn$`-^BPX7*m`H2^YirW9`OFrPSP5;M3
z<71^pkJ}I|9v}B;ioi3e?0MCHDYB$zs8jzsF?kel@U3}M2c0*)y)x8bT%`9kS*e0>
z{YVj~g4ZgYD@k;d{>1KB%I&7ZGk~q+vk55BpE3=7*ZH)(xfG~pL7_0h$1Bh`#s$RZ
zj@1y=Pk-v1ib{3FTm^%cVCRKE4Fy09R9qxPf<&X7S{>SUMOT540U%>aNs0w@oiIf$
zZ)}O&SHn79i$2WGCJq=B8SP6-BT#`<=M@`I>7koQX>)tVr<|A@d8&E!6?^DOJ#BZz
zMK_T;cg45<yZk<3ynP=S`(~ik%d+HV5b3r6a#GM`^EhP>=Dy&1p+}L(;HlsfuB!qI
zYJ1f^SSyp-<arkn7Oq(BwW(w1^q-_);mb-TpbuOa`5FDM(ZH8a`N;1W`!B2G=H7?%
zdI}d*pO&{XMre(PT7xHSpyfRYerc&Q3B?o(;SigL>g+3?OhBm(S7OJcJRJZGN9Jg^
z80{vyiZ%n{4;@vUD;jM+;Y^Kba^zB!-G7Z8{f{AY@BYN`>Ah5)_A=C3_&Oc?8!dY#
z`|<kwt@GKALfK9sQpCBsOsem$77x&5PY|-_0pEMR_-{;W@n3ZvZiy;hM}Ism3bJQ>
zQ+PIUVmM&ghO=DujZ=BVA+`sLYgyCv;Gf@rW``T8Ea=QH_l0(e8H(n?8yIob5}gf}
zlrPJ3y+q9n@d<+=qfR!w(o^{4UzqAlKTmjs+6YUP6zxgbq34Sh%ctS%O<ipC+`rW~
zZDIai`yD#5JHP+q<-B$j&3*^myQ`Z*=C<jYmohZ=%~oHw7iPD|B5mRjM+d+G*C9&V
zqS6M>`bZtGnCn-W2`uU6j&2kb`oydGOH}ywBbZ+?zH_)Celj<tv+(c8Rz&HofJ@`7
z-x3s@D6z0Y@rk!v<4Z@&Gfisj^S?!i2F5AV)*lQnjMhXunM<cTZ%Y#pHdC-sLa`q|
z%|M<IwAOi<@W}#t?Khxu_%ff>E4;N4?OKc$*dPuM(g|DY`rLt6V?-`Ta=vhl7_kFS
zqhERi+k=p7zg<pbj#_?WIb=0_zn3X`Bv_R=lB>r<jHg1K2df5k(a+d?!jmzMhdd1a
zmakZ#wQ79pP<Y5FJhJDG7^?3g5kY)&D4&ufy~W_2cPlfIw~AP+Hqrg_H+wKNx#z%Z
z*te+LeB*qOEy}+1qNx$m^Kp(urqfvWoy*DxCY?B|wuD=0MwqPm=lB8*Oh;;wt)t4F
zZ(<Qb?&X*1%|9y?*LQ`VTU8tPx4vHsXP&{L;PVZppO#R_1Zsy_G?+vs5CXuH$E#=N
zf-=-*{B28}=<_<vzN~uIAfZc;I#v_~3D08;DJ4C4%QH;S@H^0+brO&Lt-Up>sTd(6
zm;SuQqFpwJ@yOpbnbntcNM3j!QPpRRv!EFa+v=(m0{fGl$SSm!<&{WY>LpP_(V%RS
zi3=yQ^m{=e+bzB*w2H^-l@5w35RfD06DYXorM}_ThH;-a6RS5kitLGi?N#v5Dbhyi
znQLA^Gt&Q_m9LW_*UVLzw0+nEFpq?SnPgk>>(-&Wjf%-<fuz&DPWpg1=#UpA5R#~A
z;PImbeeJZswu?S&6ny2pszG1E^}uy_>Nfhspb{7P!{{wHhP??+d!#Y_rO>;ONI=Uv
z`0)d`9tkqbA25b5*PLo8jq7CM#p@jd7Zz%56!OQQyJjp(_hWV68kG|-Z_E(A4M=GW
zvWkv#ph=S&Ouj*29`h0Yk3sc@Uw`~p0r)$i1T+Dn6{WJ&TPo%hv>%!!9*~6eWbd)9
z6X`i*i{8{kIsHep?`<QrL{#F*qe&QQ!tI^yhKyM~pkwJs?_g%%zP*hVkSu~HI5N{j
zh8957YND{^I1RCdF97(DVe*2^_kR}3TWtSwMqrK%@g2I1d~&;t&)d!sWH+-9-I#89
zD?e(#eUKj1!;g&5X&Z}=8%>tYQ-OGO4c1Zlfx#orz)KU#Pq)k2-!EhS9=)-EZPAr)
ze@DXcmHV;bji@Bo3dgOcgcXV6jnpEdtfY=ynULRY8{a~-Ak--M{Q+jm#ABBGgIXa)
z##&om)LOX8t!zHd4cFr%@k?PD8hQur8WLo#2PwNRl+Ctd;1_fBVbd=*&*^S6+VgtI
zUsta}^14OgSW3-j8#3wZhLYplm}alXYv9g1FVo4*n)Ku=I`0TnD!UnulDZIEf1!qE
z<@?6$rGzST%mXe@%J0s9^~koB&$B+0*xCnbj?-p;YrnjEj-gaZl6~BC5&c_Kyp>A(
zJ11f|w+Vw}?;E~SJdj%vIR_yeHV+<GWb?3#-t-JIRAbokKq@6<`J-f0K`L1BvK~Ro
zCN_;yfhs^D*=5@fff+cMw>`hf6UY6k1WBRmr_U2#0CanaL$U|mkek^Zgi&+o=@|Sd
zOtTG037>$Qwxd0M_fb6gF3kU*I=_Z=L&3S<mc7?#zJUayiCq)=2`qwPAZdt?K@AS?
zCbi<;$=XsLGlhLVy*E~?Iuhi@FeGf{^32hC2H4gPE|K5VGBdWjrbZ<mh!wz-yw&8s
zfe#%8O42knG~kCjp6ysCpdSR*K!<IwrlI0jgG<-5V_Z}gdLHOzfVG-!NPdqGnjNW4
z=D~+sutC~}^+}DZj`!cisn0aLq!jwW(Ay7VqObqv)^2b+mxXupVN45s*4)yz{<va6
zRPh(}9bmQ68kIe${O|tdN#B1gE^e0li<P|EB$cg*CmkG>--I7M>t@4}xU}1>&%VrR
zt)nAp#!^_r%Dd~B{gO_KPHj?X-Mi~r3lFziO(533m#T|-baR}WuJ={D*p<7XFH!lG
z>Qqd@){fAm{mK=;`(w}2quM)oG)3WO8JjFy7Kvu<#PL~{8@q!H$j40zO_aa)K%U9v
z>>*%I!9MI!n_oscF$ZDITTKJh>Kibm>er}fjLs|E;3eu9;A@F4+{gKKb4+JL(d0ID
zE60HgA#I+~>Us4^BT*}?H*Ps@cbUCk*HFjaId=OZwG^1?FujWv!~fPVv4_yEI|Xz5
ztnHbXYpXY2YL9y*GFQZ3YRUD!!Qek3$^b!p371JD*SH(7dmC)(hw*id=#TU(xrrb7
zblGK!&*9kJmnacZPn*W?VVMr%{+=YgUj7c&x6%4DW$OvgUs&+fMxw{-GGtQZ?0cv)
zyhft0R2nwr!7Yn$0UW%No->)7G8WLeBtC-GcuHPGg?0NdlRjUCC=J`jy}~cr65Yuz
zX;RbypnY?TeK`?!BwhNsNoFzKcKzna8jujGlzb0bm`5GIIHb_4o4bYM8Zu5vMoPL_
z;D(-qmqis4r}4X^D4{mZ`qUWY-xVNPt5A!a!h=r}WOQ1|ZB+^}<^D~B_t{ov4^{oK
zXE@cv<tl+-L3aRc)P(HfNJ|99A=ZuOYg%2uZ}o78+T35arqyWoAM`KbvkA?a^ICP3
zXOR?GpbOyLus1yYYAEE(y=_9KILf8G91&p?k-k0SkwzD3&s!mWMn-%OZM(THt#ZY0
z&{?^xSMY;w@PCfS;9QsUH+Z7u&hZJc{Ixa=tCX0Jof~lJy)ry|My@0BJB1q6Ftgl*
z*nJEK^dU0V32n$3H4%l6T(SyfIX*Rvr=cINhmQu+tQ(9o%*a}~u7DFbCR|3D4UMQ=
zhV$51qnMejg;)E%B>&sa1~}j!#~;f^XZX}4P{9;}04*@b7G2;7Cb3ychA?m_X3Ris
zlnq9XN#Q&XklPwMW&5Dmev_@1_1SqnmUAlHWcaB%lUFl>NNm5;&K&*)nJia;sF|Y5
z<|Xcd>|;?vg8mz$@vqS&{h8t_)<k%wPwY9sjd6>R2^K}k1m$s>OAHRct?bmkJb>2k
zsMIV&8G${KkVg7Hb!(hwN|NlDV%-NT%{aXs!8rbOMg=BlcEmlbulbOQo;L($&Kr>k
zGYOzK?Jw*QOu3#d$V?50)>rP+A6rOlXhV7#^>p<B8d`r4rtEsv9r2J;H2O{!7OqFZ
z!e-Cw=D@pQl6Bu#r^pkqASqxUx$tjWr7yg{vR^lUBz|JN@FS|jnwp562h`GPj$4a-
zGekKI#=bbbmNSdQA05ZDs6l)TGoV`;bF$(JrQ~dVON1u8;APVYO{S5>&!h4$fecf%
zrtc14-d)Q`H@a*;W^6@9qVgARSH`C1DZXy-nfD9CvfDMg<w9ga1ekDHs(*M~3GfCR
zPB#)#+2;}IF1P>o-C_{Kua7KZ4gh`KR7mSkL2!JAk#~k&=Pl(8Vt*%`h_5B}(I1<R
z{p%92KBlggHWY2{H0mo-o9^GzaVIZ%HP+h;PwXmoCs<3s(>fvMDsOgAEz;Q7AhXB3
zny`x~@&jG7EI)!AlQY9+X(0{bkhyx-Gus`euIF|pv3PAnur-SWY0id!=KM!!s}89}
zlWK4nmh4n2N#3IhjjRHKsy{eOF13Nr>5`{Ckxs?7aTU7#fUIT|>e(Q*<b3CDj7`P3
zr0Qs%<ycr*>@}8c9RkxDp~u-_kDrP8%64J|V`+1}&c*b|w@U9$lZ_&i`FOLA9G=O?
z{Hv=Nd@{jaR3ttQZ#~Zluko24>lLD|I*=Ei&A{wkTJJ%y!X+S-@-dhpNMRkJRpsP_
zV~CP`OZ3d+IK>bjr)6?<@5*_xlo_mvqq0uR?r=;6|71Czh-cRhU^H3WA<V=Ie4E&!
zm3%l0Zq~f+UpyqatCRS#UUpK05D{bDoS>hdut^M>QVdz?0&!Z=(2?ZvHiUiMxg#GN
zBd3ZgKwik{T!LwUhcXmlu|r4z8#^LQya4{aO^(}z5k51(QySUbAJ31$pWhnao(xlG
zQ2+dSQpvizRSEHXBTPD^r?;oBlda?ppMgB>x`mvwfhd+8?<re7PuOQ)+)9%}uCa}b
z-l3|&;f7fwhCDuT#6G;ANq6<0KxphaXB@A@5Egx4M=p%;YMSJjduRLj$0GSrCF%x-
zmIuvxafxKNZ|c<q_H+OFeTg_jm}nvof*$0*f^wS^pXrSOwMGvDxh-nz5+_%2DzTU{
zHW(A(L%W6JiTzhdr+M5nEL8Sh{$P@&K5!%s9Jb+{Xs$SOIZbaA-pwMDtu#m7IUzUN
z_U3ZQ|7bonv=B+iN3Pecj&(3pU?P=fyA_w{CR%2mvm52Gt+SvQS%QEiMl3)e@r%@^
zu~B-jnB$@v1a!+jj)}+}r)d>56!;v(5?BAxVUr8aJOQ+f=Ao~;r)CAd4L_1(H|vsr
zcW+(4-2$VUjIok{!8u-qsr~=Ku(%}W!-_!qnZYnyfJ19WO%-MH%L}L>E2(HYW{!V(
zP!BmY$n?A=SR-Ns>4yCiWz=0Qe!{=p(BGQ=sR$L7xUpH=-1*D1GrnCZ+Z<(jt&i<E
z7h|`MY-D)UQRoX}rXgqbU1viYdjTysLY8f99BUZd3`s*M?6Nth+pn4A@O6?#1X9a@
zDg|YzbnG2bL!~jzlEZ?b_T*YE%(9=MAc7Lpzk+`<eonlV3jjs^9;0B8kIee?Y${Gz
zkX$-iY)g2ax8|8~p|On=RUA;nrWYdkiSja5s!c%GZG2!%+eFva5od`bI*F(76U-!N
zoqF9H{geJ5g-_PJfU!VhV8$hHd$R=*AX;MHCvR}+lNU}>&}L9epsuRRzTW21J1I}#
zG6Mx~^>ExIH@E&@e>BM+9d*BwMOw6;tr)~%YEwkC^5F9OOPt9)B^lNB5x)0oG)f~T
z{xdo46d(}#IbBob#@WnOajSl{@G4PV)RxH!;hrk_d775syKHR+W<UjVX@b6A!?~!i
z)8c>TOgxnrdF6*ZESJObF>2ann!Gl<yP*V3<^C0P!3cR)uU;T*I2@1nTbO@rm%p~?
zUed^OZshMvJgN*^Z=6}Gl&@(N2Jj`M4`1ypGFtYmtAw>Pm?^=LE$Wjt_VgFUgAP(*
zm%>3kbS=D;Nde0P{WFgDu48GvPu^HMfj>X)0>baX`><~zv>tHCy=NS_eTsSeZ5vQx
zc%q1EUB_-yA2&Gze^KHNT)oR@%FeS5jN$OHR!4+Je0Wv~p)?c4Xl<02sFmKNdr54T
z2@G*P)_*kH+Wu?V93?D*N6FUe{H+R?-2qR4lF#Nnx%X@sJy)a=*C^HcsC}^aV3>uf
z0ZxF$;a69k%!JhWxo<{ma|8RM`OPHTv5I5raZAB;Hoj{4t1!Y>4D#^V;EpV_uwX1|
zDK(ID`mF+DOD^L=&d;J-A(c-LFv>$9`$)Aquosz`e5wPUH==T!pj^(#gn`W&E7#G1
z2Zjd*%BDOBIQzBJftDG4L9~(maG#712~FH9aRt+L*W`M4jnuYM%cwSE=6x1pS%9KS
z!agXRoap~q09QS?pC5(!{JmKX+#+PiCTjG<{4;WFdi_VqIC;&OVSMoei$8Hf!6>ta
z>kkD!!$%>Sg2>ki7OGw{9_^VDrOF(lKY@Sz1B=gFrdi__N<M26X44rTTAlCYUam*b
zAOF)Xf)y}>u|nn!K_BU6^GLa-O~x;`H3AOM5JI7bHd7=sFnG_68xGn8D&Lt0B1rNi
zC<R}j1VJpyY6PzS0rw2ZmF;W3oRLMfa}eEY1cO&`e5Xa>w=q<p0%^`|PS%??alK!r
z$)hO^_{0{RdQ2H?)j&Uyq4(~N0;1)v*Er!_-wm5wrz}CmS%Z3;#bK3eK?a<kK<c#0
zEbB-se<_?#W}2RtTdEdB=icd`r6KC}&cxBx=#qIVkuU!2wldMp+<uZp6m0r1O4_U|
zrphlT#dV}n53=^&Tl|JX`kVSzu4t$2GV)L!>QRV!?0%2KL$BYxBONf1bGzWl%Bf=@
zr<dK!NWX6d+|AN>z#=aF@^gmmnic--Y>tBPWGhqn{Z@u3uCt6&xTn?59G=Zeo~~mj
z$t5+>A4wGPT>=-F&yGYLD#_sL1{p>b)q*7+<$rEEV~$q&%`bq>aqQauoD0SV5mIyY
z)pz%0t+VdLPX}M?m=4yN^ZX7Pe73>5!8ejMa^tf_ELZm=@ZO)Gp{*4-i#d-L5V~oz
zaIx}#uuT`?D&Uqa$}cqZki)|}6)fq8O4A30o8_1W-RE=e#XGFYA59oLu*BoJczIXf
ztO&Kh2z8TU+|afx8Fla>;uoPyLZvd?+Q<G|(=AC8=#(!Kf!|wsisXm9wP{|~U)a;!
zp2(PJ6p9I3w>OBV$3D0o7WZsl7;SZ8ksHa2A*jiwQX+9&{qk&+QKY)72mrietlq7_
z&Gd`aH4jU|qJOxjza*%~bKkP4OWSgKC)sjY&=RkesS&CR2>3c337)aPj#S)4l^Qm?
zaY4ZYxXLgi_o$Es?28^CRBp6BFKtCH9`w$_c<*s}VZfj8u#gRhR6lX<_v*>sCjTu7
zA&BT?f1#NQo*tsZ88>jmF-Cz`JLW*0|8z(SB1e{(l^3{2Wr*fYF|n<##+%8L$&c4-
zK9kVjfY5g5ae?%wF+%Wee}J&D_e!9QdB9!rjw$gopCg~6w`pIOk9YGpi6KJ$CHUvM
z5&shm_MTn?jm&-slp~gr(tv0U@ZWfxwg2hB@2F>Tf7@tmr7hnN<^X+G2TXMP-C5Ym
z^lpq6ToL>nk#o7-qvJ0$MqBvDt<nq;EhP0=7n&-j?srcSY8geH#Zx}>Z9C*=JjY;b
zU7h#EaAzG5+ji})E*y`$<Kb#Yj!61qJ9d`*a|k`C=_g%a@gf^%;Ftp%!ieYmkEtb)
z5T*ns9ZGGN{3$GyRaKrII6zv`o5i^d!HUZU6X0GZ`hKSR>T>YbNvnXrU}%TH1yg|p
zX=?VjY?w^({JU3F*M;;6-J?;uZ~mF7NbwITT`JvOwr{byEU2Lo^k8;IWXw`)mIr^h
zH>)jQV9<~#a-BPS=f<F^WZ<TsGwRSK_UI|P(Dk6l{Qt4_mT^@@-S)5`C@mn;NOyN5
z-QC^YDIpyK(%mVY64IU0EgedO(w+ZxeC~bj`{Dg`ekz{5*=y~&<{V?pG5I-JVan4K
zql>D|X>|}`HYSc=>O!B1;)YdJ>b-k-eG0T&k*R3mj5-nK8Ihj_MGVJKnL@_oqGwYA
z>a0w82EX!LChhAcvfF%z$Bp*?6($k2doiCo0f4yAb&c_tV!3u=6^tF^tK*#;AMmR?
zpY9$uD=UU3lU-q_S}1B$gPL_d`WkRtAE5)+vIMMJ@6x_3^7R5dU_DS}G8N1TqwX(g
z->Z7@$o)+G1WK^oBlphM{>;VnH*r)wq#0HnffU+Fz{6S1t?dwWu-aH0g?@O*JD#YV
z4ms<sie&#i@^=pA_OgxNA&cnA#CqxA7m9mRFJKQmr==*(kOwuFjqPRkCLG$F_{F=u
zH*JPju><EjuD&z+?92E)&inDtzuJsfTV1&OiE9lO0rbJ!u)EB3zk9ZLOrLKX*cuZZ
zr=*nnQS@ozyqjFd3TZ_6#q46L;^C}{f)C(W{EB&3OWO`>McH@eNGGp$)nk5@pf9wO
z_k(`ziSvmM>(4lj;?2!C-+ecA2%v?Q)r4Mjq+VZhBzMA{*P!bZlXuu(M@*w52Yl{=
zK|4_{GjZ9m{fPhpfHPaKpF{Nv*&_bF3Fp>4Hg6bfc0y74xKn>~3d~n0Mc!P>F_izE
ztKO|x+RPs;9Z9b*+_m$wmy6A`CjPv*6DyZH-}!VYLExsUGaBVr?>v75ETR3nkNLoj
z-QRaUe~RG7Kon^Iowsrn)A^~gAF}k=(3mb1MesK9>1CM6lsVpKF2Jkn#HIMl8NHMJ
zPkcg(;;DH|s2@6l3HxZTC9GY>d%Wy2ET_dKa{o?5MbBAt-;#D~{{o(Q4FtJBikh*`
zOsG!VI7bKtrHGi>q4?*ibTZ@@grBn!yxP*GfkD!1`0Wr5xiSe{YSNBFTOoNCjDa=(
zE<4<_btT)qi~ZaeJCes0+o+wqP)=2@X$S(fQk12-j9K2-4W_z@G)r@DR#)x5UCFUI
zY-Wz~;ENtupqj6{Ui<Vsl=CoDu76p^%)Xv}OMceHiFv{WJoO&F9t{dyF>3`-qJIq)
zT4Az*ym~ND<&C-<tO_<>N8r9&k6Ow_h90cl5fr2vIYl^ubyo^xv9HIt-TN=b1S^!C
zs+uZy)%|}}U(u*5Hml(fK%r2@od0<#)%pB*+!)XGbhCL|+C10i&Ghz+O-R0l7N0y*
z&sc`>i{Rv2+Dg}xV7@OW2Y~XAmtpV(N{ootQ%OYd`(%CeZ2t+U<*nJXe3km`;0U-H
zt9z@!H#NFV+`r9DKI)oz&g#oB)e{fbg%AlwK%j{zsbYv~ltWZCkQsakm@Ze+Xv|2e
z2DMX6B|yS5gy+i7nO}R@_w#D^C;Wm?4IO)9Opz#x^CQ6Py$)1z4nBxXaBW7C45X_?
zfBJ&uA}Az$35SERdPV>v2*Z;nk|E=a`W@L9RQb9-mvazlk58^C@vdNhvK{2nVM3vt
zL(J^nW}m=BUyQO&jE<nD{dws#Ky50<r8rv~BA7eULZgvGS9v3~XB5$kG(O=u?&8fp
z(D=efKwPOi+6C74ds#8-objcd2-%)KR{ANP&T<Z3LYygcO83*m^Mk_M0sNEKD(cQ}
zJ}vY<c$WA+KuW(ND2{Gd<KNh|F?I+^u}t+I#L!TvZH{lrg8ku*9O|CB2_FJ(cka)g
zP>p3x*3+%Pz5aX+bq=v$tZV;h(eNJFKRXxfw88__Bn&ZW&NmqjF-!a_26V1VUU+Zf
z4_w+N*skZh>SyHxMpwNCq6fz3Ge!o}4L2nfte9yv6t`C+{m~C<UzTj=mY-IdBr>D4
zOVVg4!r{B__%F|s3)^`J)y~ibY{pykp<@*FRB3Hm^XvPBVSX#3W5si>I0j+;_NLwe
zrk&@oF1`pNFI|YeqNY)S*_mlKTJZsL-CKFC?#@<-zu|@?>$RMVQCFNj5$xc~Tz~>Q
zEWf1sZ=n9?-A+`=#Nv6pn7IauuphMS2y5rPq#0_f!!2@wU#vzX!hN{BdYdh?LSNt?
z@N}?HsjHX&ov1`=G@EDXD($@+!!gHo@144NS_Hb8$MvVb>sN%;e&?Kin;-NeRH*N}
z9LNU+)LGS%S2v@y@-Vw|gP0Zwj=2B~a|D>#rP%Xb{K*}kM0+lU8s^spmo3EKqT#lZ
zHD6M69OwAlju<qccmQX&iwX<=k-lTEmwZ|b6($ZG9hM%@W831n$RDW5ex-dLNr*_4
zNqV0BCHd~xt~vdVZb2Z2dH6O-9{1OTa<YI1zRUp|2CrtOhR5b@k_KmAiVS!`n24CE
zI=yZLkv~K~fYsc2m3#ZhJPYAzn8b~05&vJi#?_ynKX!x_Av7di8@`=|IfM9B+W@0P
zy!D%b&ZompFVvU(c+R2t&S97MDQMR)@K4ZXNvkjmZ13=(>ps7j7@{5EH*Yo<KYxK=
zDsneY1u^Su1)?5^2<P=5zBD_TU^MzJ3kiGhml+Nnx4;1}zjy&6GNe!R*$5{cdnPe=
zf!a}bzCAM_J1<}T6E=qY&1qA>Y!}CV`~*2s-UX8=Hf{DvS7#z>h~p*;iS=b=Qf31(
z7_>vN6F!REu@5nc1fsdq5CEP5ufb^`b1>FVBTHTWZ89_!_`VvH3F{fJ{eW9r$1aeQ
zG;KyZBDO)Tn6e@S_(%mn*k9CCa~RpJQL_ktx_Rey+NYn59hbmnv}c}e1xTV=*T0W%
z8WwA%gkK}a?+2ZSUHy8PyJ2YkW31Et6sR|$n~kt$%TUtO{kfznICgGr@4(a|8efQ>
z#Q?ZY-DGRjejQ2UD$Z`aT<McATIEIks=z8$XE=~fZ3Imv&7)7vXMDkOifplRh;nF*
z`~oxn8;$DABDxmMxLj+@#fTxxdPvxRNu>CmrH+^X2wiD-kfH{vK0TTtxjgcj&H=}x
zRdKKybC&kVxA{nNFM9urS#&drBSllT&70!^wiPYGf|>$5v?RZ{5?6cXUQ&7Ce(A{4
zLA(Z>u2<#4-)mik>Bv$(y=^ukwjywV8>N8WaV~PXRq*;4E>_)V3tfYvom7t0vrYff
z!I)2-Ny}p~d=ha{v7jA^wu*nswnqz#A}?8a|F=R!+*e7COf@tmHz#s9C4Qu^xNw$<
z+U-8mq~t9o44qU9BKyN;9PGX#VNljgqCyfm3V%TkiZe~Ab4-O~uVm>Sf+NS*i9B^-
zDnDuDpgV(`)I%|?%YxU@Cx?;9GfSxkV$BMJzoaH8CW`4K`%^nhN>Ou5_wN%+@0HSK
z7f$|ksbfo*O94;oKi?k-4|PaJOBQ7|Wlmt;9%2kXr{|z$ON@Y?tb4;;pk8@E#zds;
zunn6MR>m5KrkOAKP4w-(efbx3U>N7>3@7^oIvT$)*h7yLdB`~9|L5!9K$TNPX%TDD
zXnh!xp5<X|wg0I}EWJ@5+oPo*Us+$PSDaXKVi=}bW0rpqPAY9xIn>r7l;~fgI<weI
ziWyS@t4sElydYmx{mXehPB<vf#9!5xPW^i@kP_92#1KA7k0F9gh5?b9mQ{wzCswT9
zd{`NYJc4F%R$ARHFIjy$c%xfE^{4)glI@b1$B>3i$Cd7-q>8CgDEGVmgD<eqh0Ij_
zwr-NRzv)66vNH;&Y+E4bCP<>dmXd|jl-Dv3r%$Sg)dy`!OGtHw@s;myW}<;_Dt`o%
zgXGOM3X=33`q$_456^Xs%eTL?Dn8`gTs3z3ta<L{nf}@?CtrWq;Z#`#G4!O2Hml;D
z&KDA0o_1-m(}36SQ}fx%mcNIIrbV65PFjfM6p8(J-EpB!1iQpFlI0rLyvi8|vYZBR
z7UAE1)%oB9UQ*v}S_7-n(D)4nFIQQyd&gugOf`XTcQMa5F_1w7rVhXWH3zNX38Hw}
z&0(@@aO=dil%T(NG#*uVPRcTvAFH&0b2Vf@s@-c58izoVrtm_daalEBgRpYs%4PlE
z26+i3Q(sZScGdM-;3V3;ja0g!d(sDK{b&g|>=w{{!_evtr{70?95HKH?E4uAGQ`;l
z->W)4dbMkS9|?fe<xwquo}gA;Wy;_Q-}|Kd<5E@InKW%DaJuSTc3<~dzbN9owIP50
z@EHieLJx<4BxmP&l6m>>r%{vl=ZVF9{kY?P-NaAZ22W;7atZ?hQ`pOvAUg|OO^2k|
z{}!sNf+)5y!vk=O4Vn4L-%~<Th<reXk?HnR>&b!y!xmk`z~?gO`8FrV_ijIXwBzxw
z!*j9U9VM?d!~?iut>U0!>ttc#{PhRMoHx=glX7k{Y|k%ulqx<zku0uj;CpVx1usn0
zWq$(QXMVsf_&$c^`Mjv?Lw(Z$5V50n?1?efau?r0JW*ewaBbvAFicBhM%S^R=v;tX
z#lf2_lK=0z4g~mDvQO}z!_4qhyf@aK(^Ad*1pNtkp>qp^h9Yyq!n!lw>lK&3u@IZL
zr;Iq%hz1LR^R)3HAK*GK+PEfMWABnY?&mn7EWRqif1m_0c~)FIjdovgosnC%Ys^Z~
z`P*_EDhu5RpcT5;@GHP9;!m&ELtGJ_vEPPFQSg}XG>Hp7c2rH&Gw(oyw#vVa{-0<t
ziUOT%uT>uI_jlfRtZbym9?VnjIO#!TY}$YpRrp}nX7)k0)GcYOuKj8WF{U#Fwht6P
z?1k#)AD2J_`8{2yYW)_^`6#OrTpz{N=&bShz#3r3jttB|I;n~0MzaR=#Ex*s5N_;s
z$JL1>>ie_UP)**Y*gAh+pxi%`<29~4V6!mVm8xo~V?|%1Mp3RSP@XCLpHK){Yi1(D
zZBskbEK_=7`3Nm0DVbayVXYyp+mJv)f;xZ6K+Ra>3}g-~r>XWw>zb0Ez!qEOuo-{$
zT=Q!8!}BfBK#6tqr(Na*&*9yo@5eOKs%F|)>F4HGc=iQXa|`rY3s1<bvpeKV80t)1
z`p*D*^1qJ<`-@<*oVpTt)if7h)uq??qR*R*DblT0)MJS0hOOFS>Zl>&rKwA5efpIm
z392wIm5^At#$@3{Op_`a(ZW2%&j)oa&{=64UiN?Ii_1m6&e{KW|2{h$uWer9jXVTA
z`&O?L&d`cV1xpW<lD)IabjFnu-ArUkKnsr-3CBrSjuhD^8ch6wgiJC7r-ZUyQL3b*
zG~E~BBx~~Y(B8SOU?0<dUDtVkzk09r>Da>HFy_8_{(IGZOVxed&quBKmU*wAG%)6`
zp?5}MXwnj<xAk0y8p#ys7l)DX<q)=5Xoj_i8Vd|)s1tI`oMrgm-5SI<?^zg6s0&}E
z)z+IbU}`Te2eY4v3TJ<&>8)24;FSGTcc%=80UaVptO(~CD%cuCUAU<hoir+?_e3^R
zo4%YYy^qnH8Ce@CE#~qr-Kv~qH=(?+5`iFNbUJP_QXssA<=oK;jWjsDB%<#pTR3S3
zn*wcoGDSSnpz`gC<DbC;G4RFzzJHP$x|SRVFJ-83OAV7-rFv3*Q4_tXKn0!m&Mxrp
z-C^~0c-WR*O>add=DT5OzsRQhqgFMl$%`Fs^lH*@ts`4yZJ69}X&YMq8#UtjOlWwy
zcq46^9K51-EgxzagaF}OR4N!AVZq`4nKm|SUv&%VQS|UyatqIrXy@7Z<VEYGNdx>g
zLis?k_z=Yq*rXNW!VMjxDdJO>Ul4I#d1ZsPw^C7B<hR=>(FBSZ_jpbDk^_;t*=OR<
z<{Ih}|8oI^fPD$UVKWq2d}r$01cwhRAPCCPe@~pB`U{3M$uPFpa}IclWu`>hww(@4
zvp6uFUU4y!3mjI|$<BM8R&!1eIQ607**E3Mfi%6-JslWQ!`8N_DDbO&+&ivX^ElH0
z#B`!V^ET$~3eRE1=4uak4Ap-o{q%g;dLop_9N}|WMMd*F&7Za^(1*t#29)NXc#ia&
zY5(^LAOtX=#f}bH#jkjnWb%y?C?8`s109^t{$($y*M5Z(GPJku<wvY=6eeHK4Ruw4
zU|<r>Z4RPuGPGAaK5P%f7ucq{y#YVEkN0nV61^uHeE6HdTb4f1?6CK#S^$=~JmE^}
z2DCh8yr6PlytcYfyIo-mG^j%S&k`U65Q}!L%I+sdOKr$%rBy5$N6@QlTakNar*WU9
z0JrO4{oC>*0_OwFOMuLXmhH}<n4cAx>9bp;k45<L2d7Z3u^CPN)o_kTf#1F5GjL)*
zw@7H1s!!@pRl~U}JZsKd@1N`bx7v_3;e|O1&J>jvZkUnhy}g?E+|9D6{hL(nT{y&g
zEt2r-yT3f&X&-_6%G8JV9P8fay(qkYB3Z||t`<zpoFT&VH=ef`3o*VIq}=Pk_N)$g
zo!!1KZ!J0N_lO&<8A_3(I9LOd6bwAKlNzLVv=J8Yk=+ZkbMTHHb=v>?%z4BFi;}dM
z&rNTayMx{c?45F1Wpc%bk`v2}?>_wji)*G&ui~{PPr3VPNJigSO?!vAb(XqyjONpf
zI{!!GSlArDBsBZ_DRJ~xFjHXIf;c^5oF|93&1)5PZ<JjkX~Hf1<1NkquJC6<C{~xD
zEmt*pbEUX#O;b0P_vmhgqjXjVGsITUCWaDK$$j$sY24TPYE*38yy>Y?yk|d12|YHT
z6lU$f;FE@(@^@Ct$iKY{-Qi2|ipONOU68+&{Z9-4A6=$s*l}YQ=BjoB_O2o6V&<6F
z7!}eniS*}nL)I*vnwA|T4#GUi4Q{o1>6-U2bf2RiDO$XI?TtTKO>2LwI}A^C>dq53
zuGX1V;eoED2D?S;Rd%SL$edXwascj5yR=-fhUO($z*Km+NbKxaj8dN+U%3V1GnZHh
zZ`JXC&TMlmnn~_3Wxpx5`CA|^S-fq!NK<VMS1;ANCXKX|f!nZJoPA%Hu42!T@m&*}
z*rBK7dnLU;an<aDt_1IV+yR$MF0Up%3j3fI3VY8-|Bo1BCoS-+kw=6NN-ux@uxvzB
z4)0J)atwVN6n?iv`jweZikL|c4m+FW)f;*EE-DnivhsylaT`kx7+&)dIhWB&@=Pvh
z<c~?FCh``GjOx9GZyUvD^i7B{2oR$Rv4+PlXhcNT2}1Yf2fI}T=BYQhHJgzt7Y?I0
z98triIk+(}jrd%b614Uzx)ELAUal;V!niFHfH7eb=0;ewTf&B1XqF<iYVqPt7bH^_
zA`4CGaaZ5b_%k(SC93`LdyvMFACg<*7GS(TnNC6X4dE_@Gk>=fFKSQPC}z$nzpo@9
zc=550IF4@2i4Y~8Uo<t&a87w>#s4FG5nNjhp)tb!mbu(jU?n#*5>+IN4hY7G5rQLg
zNXmAsh6$rMvp6HcKN6UD5D)V&28D=5OY2Fu98pnjxW9`1#+R_fDv2~HTc=1)o6~K!
z#JtnW<~{TDdtX)f5(fY4tDs)h5MH;m%xRC4i38fIrr)501HhHOzxeqv;Lf>(Uk4zk
zMRf7DsI2K-+|75cT^qG!{UBUAMIm4d7Fg-4Szw3jpT3&1BqfIga4Vs%CJrW6TQww2
zBgqZL5(EZzXP@gKyz!&9bNS;+!2*+k(!Z%^=+QARy0YSPce6-sDryEGRlGY8kVB@h
zsHep%4hhtf4sgyn&~l7hF=GmxhATYGe0Ws3a_FQWCkzlI?;(AG^T*n`>7&HPR)WIS
zZ&8QVE303i9Ih0w{hhSfz>|B(mA%9tu<pZr0$`N{o=-J5AbAdWyk7q>Wbp9|3)ZzI
z>{D_na&E;t@UD=M8ro_*=h@iq^by7<nr4DwVjc7Q>2|wW?jOf6N%Tw&<{a6equ#fR
zkEf{lftD-pUEX#0I7stVK@5l4@|9R8?ZFg>ge30ifMjhi8V{?V+DY_u*W9C2!CCWB
zG-`M{=^A^XO%~`j8w3gye;WdW+GW!Oxj#4fefs%(+dNZ$7;1^nU<Q~!ZJMH9aZa~c
zKiq7_Tr+or`4}z^UNafO_<4DMLYV0jzkvg?2rGbtPetiz(C;A>k(Dvy(o7)@pM<?D
zOVJLObyjSgW1ybHJ(!z(`vSw3`QUQizz<;Ox0&;xWBKkgXB%;GLn2~??8g#y8g$-I
zsCq6n-#!-U89dCSPRx;sO1yrNY&De0_*#baYQ<$Dg0aJ6MvhYsGe;=CdUm@(SRxKN
z1<#v*2mPa@dgJK;p25dOGXSt2dL33?J3L=G1gCq*k&{g(Pmkj=sFrbtbo~)05@G3`
zQDiqn)(OIj>i~pk>%-Xy=YnC7?mONLbJ3Wgmvwj{`w?r@@Hg@b!jeZJN}S8Kb&xYm
z-qgO6r!=iN_6zl|&Tnx$7bygTDLxYDzk1TsNA4~`toZcdHrV7b5Rt)A$a6D_(;iGA
ziPm^+Pa>&aEN_8eV$E<?WSbn7hHAjY9KK^2(@aEKEXXQXKNkl#Lz+Q1X8tEOk^@^R
zB2<gx>tgVuww(SNo>A5F)!L_HcF-6PC?*SC``t|@8se`PPG|BX!XOipg@^u3HV|80
zlbm-4!0+BH0Tt1rZMfy1)K2q}Oe1cjR7sLl8&ynF!9%1&pGs@lZC^=fD85y}%*d~{
zmBo|FEJ8}6-YoBDT{@eUUZM*^;TSnM_ItjElt^G&2Nd*?`*LCjTUNNLah;ZYHCFey
zs5f$r{HnuW%iV_M3I-}*DWI*vfp1~@5mm^8((E4Q3v&=+q_Xpf!9%}6*dQuP2}`Cj
zh2$ls9nBJM7p`{FE2T-aF{~eq>5fK9@NyPzxm*Q|^ipGGijbi#jqQK!j{fBkEh0h&
z=}UqlG@BrmWD<g5G3>=Yc;eqNkOL5U8Fmo6b-p2n!sHIjoH4$g`5Ih5d>8sFm3U2I
z+$cO!TZW2;yD$V5GLqti4U;l7D~IBRVg;3OJ_*a{Z!2TgJ@-%7ot<F5&8O&+RgbL5
z>kD}cN)uD<r7tV;^~cU+uJ|I`E~`-XukUAiAw@G72SaI+8>Dx1QcIL|gCN0HB)MBB
z-Ayy5FS@ei$iDLX54&*G_DSNA<-$_*Ia~+@uJv37YgAY<r+;Y~XIFDWy?^r)XjpT;
zTC`XPg&BM+=eN=`{f{8uFpP)8F2fez_ohx;1~@ya6$4xiLf*76Wspz&(RACQYB%1G
z0Md6l%OOrT!F+P!sFI`;%$rgrV{{!!><u{Gsb50Gwf@u_Qn?Fen~1Lk2cqSrJ~keM
zx8+hJ{FT^@)&fEX5}-Gci}eh)S{#ZaJJ(-h?4HZ7y*yJg59)&CPeAsD{`$M#8hUQG
zP~uk_)gKXR_;Gpp=$$yRn$)M7g)suQY6@v{MW`yn*zkj5p%G5@ILpIv=x>>`DSk=(
zeAT$evKgLp4TDd0wPeHSCwpq>&{OpFJ}9Dq4huxI9+C}h+Svd$KA+B6WtrwNixLu4
zk!8n*q%ouuq^l6ODTN$4zpXwcOX4;(IZif7Tz7b)wka}UJN)H|CPg=5RzFu~TCEVY
zv6;BkZ65J-(#rg_4vWM3#Bi5&pKCqan*NTvxoUYCq-_jn_7C$@Muv`F+9Qb4veI~4
z#6&?HFl<dkNS95h{w)FXG?`!e%J^QHEzI7OaF*HTXRgp<irN!L`h1L)Ik;e-_{n_V
zA6=RE0%22jCu-3<E(AY>(=9CyGtXac+%t3h{yE(-u3fbkl504_L~5D5?fv!uq4I)T
zKCrT*)Xbs(6lSEqO!LP6#r9EI>ctpcjL|#iZYuh=&E7uofM8!^8{|*47>bHFtfm?2
z!vlq`wFtqfwNiT3+{$2@vk)&-K@8;016a^aUCyIz{AqzfKowSbngLex%dWK{hC{B6
z^qfPu696}xpY~&=jDAP6#5OfWVGC?>v^Db&frSe(q9Q?)5k?nxT~Zu%v=*{Hlq>}D
zp`CEPkFzG~ozve8I(r)aDAxU;$SC!dqhM4ZOp@KtMJSfeLO%gD)A6?2d#IW(5tPSO
zbdb~ygT!zYHx+xQ6-)*LV`f+si18Z8;K*Kbvzf7f{Zyt~hlxdF|Lx3JsnHSbPFaCz
zQB=U-aAH@T%;dWPUjs{EFm*|}qP#*S%ZP_0udEp@w^_#Q_wVV3cg@%(e5PwWP20&j
z>Bgc3FWs~U?ujR_xen)Zw<13KH!?y{=YayWy}gMSj&_ZfKPlF}@Otll`I&nC+c?Os
zFiD-~pyaD){0Q7xTUn5tQeHS@>Vap(>+l9*47Y167+Ffub3o^IQ_N_mD{lUfZH+K@
zi}yvN(DB-rG4KNI3u7Wi(u5!PcN29>!lgZa?`m9UOcp_UYs){Y38!qPmdQaPj~-kq
z)R`Hy=bIj>D-$BT@y~Xj8;EUn71TUrwVDKd;3kXFDoB*|y&ZN`a_%rZr-!#px1wG^
zlH>Jq)Mc)2xC~qZznXcDiyJUV>v7D%msJ8co-ITFSscCj$fkA0dBjuhj!jt|8Z(K3
zt2oRQv>@LB3hLUaMK|MBXqQLm(nj03(8yEl_i>&>u07;&*L8pVUGBQlz%U8ZzJ2CF
z{By|K0G2F#u%EB#VE=6|qdu7@mn5H7p$kC0EK?h{!qYnZqZa6D1rhAMZz8C$g41c|
zbOO0rurwLdEBe3A?ReEcsY*3%P|a54chbGh-`p_#a<r4-KrykpTY9GRFHD`mVb|rM
z1hFw1TFm?y+hDh)Hhdo`S|#8aGX{+nCd?wy6Q>dP43JJYnW<K8@01=`yXj%uLOP^7
zOwj}SK`u%mj-d8;)(dJ~kU?^VWlKxaIZRo`y5j`}i~7$+@=<28<#sG>`gK`zu*oPz
zq|((fPPK=0{?4-zg4-_bmPp@@7AwC0)TTv2(g<RjWfe@}FS<QLaBIYX7)1F3DDHV_
zzJuaTue2uVG26$i-Izu&H165$`SJSGi{Ib~T{TP5LmCGKHHg2Q-{(4q-uvDdp?B96
zp?`_Pl15dEQL0q=MM@n<JFn4kmLy;>kbaMG!JND3fz{M8yt|BaLI1Sg0geonWzh0X
z=(&YPJY!3Bd0|+q#ym(WauBW}R<adb)o|Q#fAoVitzyL50A$80!T!YIo{4~2c6d5t
ze2!NO!t&9YMb;^&!D&|E@|{wOB&}JvUKj<6ti$NgH<8&c<J=(ATLYJ%<fx`fvHU!Y
zTB_9uYQO~wQJVMr>F%mlVUl)YNfjYXto@hS*KLD`7rOdqsq)lzJfH+MxGdA4?|e9W
zP2j3%%tXA~TMA%^^cPfnO%xE|SflYIdVtX9LMfSE*R?K;_(&Bpq_+8bI%@rl1v+4O
zSNsJ_$s9yJ^0Z=YDC5JT>v>@Q<1}82D#aaJ2uYc(2Qq|*;W#!7QLYiU&;~NPDn;MR
zN+a{>__ij-2T2O_c=+1C{q)#kddQk{E4v`KwI6l{1O;YWhz2*pmLa6c699z(r1L36
za&~6QnNIH5(2`erTm0eC>R8!ai)SyREIa75BOj5mP4RQ+jsHwZfYV*j65&K6t@-WI
zX3U58%<~iL`Zkc4lN8khv^yfrF$Ed%?xiY1G2RS6WFmArrBB<aNcsYjkY=h#cdSxe
z_4anc&o`Vr`6SLVWfJ0YVe7WqI>xb_t3??IaOrfdQcXG&;R5%qIEnZsm!1@Pt9(9y
zTspBlJ<J0ohXWYma#S;Uir_l7?fK#1*PF_GS5a&A(MLkjyS}#yH@IA|5tTs$lw2pj
z3zEyd^u%|9u5_*j#k-zLKw*<h$T;MIf2WSTB-FYS$cW|gq<wfAaq}){$`_2<Ba)y_
z!RAAvbaU~M>ek_rt3+$4r0KAVd!x+<xYzI%{A_t*M$z7MTBSdvAL=gY9Xum!23HWd
zz(4Bg=C@IqltY+7^L}p+G_^$x8zo5JtD_>(!3+GVP5zE0frC*u=#pBHsbhu-Hqi!Q
zMA0ewA-ro!=3w4?`rKF;oJ)chql3>v<4QxL(JwHX#W#_eSt?o?TOca~+nKkBTB^p^
zi?M^mS?iCz$`LnL3G!<UQ!D#oN70#?p`!JZg3)jx;ygu{P<tmyLXm=sRUivmxB<!^
zjL49<00yTxy`YxOa<qMt)}IFLnp-<F3yNE5@p~^GrdBI%xd-(nWG3C&2XfliqBOqt
z{Muen_L4`za(o0Dn7B=fH&^*D8C`^5A7Np~Vobi)W)@{<cCoJ-hpnOJk*goWGKa0^
z#gNox)Luccbmw0|I}z)A@cTVi?aN;4LcK3v-YH~R3qbkb1RX2xu@cb1DmcZ{S<vFR
zqPng@%2#11MFx6ze=CBvOHfnW;p&NTUX3XJE#m!=pwib*pf0KlhY&<8m6K0-O+r)Q
z0rKzG=3kwSw{JvA>XVA7Y1s}}Z9$QmPZp!-&P18zs7IHfu?)Z|6z;9q`a*wSJz^Kp
zKuI$zaMr8>Me1lA#gXmjLVmIYzv5pmIcvtc+NDy)M=!|p&H`JS8(cSPbR)w-tTX9h
zxfG7{$4b{LuN0V+euXW*vAPk%NT|dCU8wl<;J4y5=!ufD1eg)b_j%^bT<s?PCXPji
z^=|Voc!NnbBeIb63Wxj}(Y@ofvdqq1szmphemlE>dW7TGHE3%Xj?Ai@=3TWA^_800
z%6XW!gH|P<I~1cnMZ(Cz-jz)0t<2*7n`^M0kBW^8!@{KWC2z^BINtX(qk?=kYnszE
z?z1dn$nP$ID@ogOv64|Fs0g_-Bt1qzcgEd>21hCyq<)_>R&&>VjQ4QtCmo?U|54cz
za=_hob9wxwvT;qDB~*zW&0pHl(E%&2CE*YyQs%dgeKTyM%dcVYNkOw>7?O^Y&L2kX
zmYrsPvM>OTeVbg0g_|Ir`*r=-xYw)m*;X7g=04EYSd&)H>9X^x<TbDC{tP*@ojJqU
zc9zAbZJprM{`*O#mmQA#`wsXlOn!N9`18<zPNTKwR@+2wltM(XcanR;2|fx8Dpy;f
zl)D@YhA;be{jejOjL;g+E?H+2QWQv73|vuUrj0n<k^&gue)NQ#{MO)q#4TB8(Fbw;
zt;CC8ntON!&DpZatWJm#MdA22Y9#Hk4cy#*na(=rK!)w4LK1_r$)mcDH+dAi^O??_
z;xAuT;LCPR!9X(}x!UbT<5w=2f=<cb<Rsma)YP4V=0aSn=vS{#VCl!uYQy>K+@C%l
zvn&*U=KDH;!Omr<@f_L&vXc_es(~P{(Rh<HvBS$goqa@!6{~oLzRN!P#2r-<rej<6
zkqxwO6I@Pvyn9IpG(qmX$3d(sdFU@E0(qGNcj-MEn>P0YCq6W+Af8OT5<$ahCUK3K
zBWzNA_&&VSarhzT@F38Fi%E$mes}j<hMK-&_#p4uL*~j<CqBy$JuYd?{Tl~A6kUb=
zX2uQY1Vv0qDyD1df}kHf8z=DySpf`fY!ZtSFWoc-0D5aUh5CcbE{ILE-m(a!Zz^@V
zCCYE#^M9RYxN0LAmw+af2zs9+Qjo3Z^i?GGJ;fD?f<kK3PqDfqz7kU9$U$h9KDQ-f
z`O>_4B#WJZO`sW@UN^*POoC0BiIQBsAiB_~Gp)~_J}2ajAw`_dncy;e9Vh)-s&<m_
zVtO2od){&WYKo*4vn`>AgfnO0GfAT#?Bv)fcYg6XQIIcvkT{Wq#m5HpKRAU!S0lce
z`2{Owl0&Vr_%1XI3>un7u=u~;WHUUS1><A(3Z%DUi>b{{Mv*278~+S(Ekou@nx$Si
z;5Oh`wE|<ojlLcKJdmcX?2A^jzL0w|67j~0C)sa@DaLURVt_5RAwGiPu#7S51W}kG
zOpsSWN=xyr0Q|G;x7);$Q%kGJ;O?E%)w(yUWgZ1Et7-3goqvlK!2JxV;)`KP_vxqA
zM<WsIF~TdaA?jJkv2gOG`6|^iM5prJ$-X`LA??<My6PP}F)>4UZtxq8nA|<;{d+EP
zbdHd3Ei9)oGo}F<3$t2!I=MTtDyYp_Hk}rouK4=fE(B0(pTd^6)p?zD?I|J!j|I{l
zzbexK*erk)b=<c2Hh(gJRKV!9-TYR8IXnDVFmhzx!p95jW%Gs-H$UyO=4gr!=2r|Q
zd;jGzAVpC>9N>T=-1S2sFUda+2z<N%Z*h4qgiZPH&n`xRKv(zaS?%I~e+a@CsS0Qe
zLO%cdU+eHdPGWxjRKE9LE&yDm#Jei`f2jfRM=BU|PUxhGvB}324Qem?yqmV^f&A%v
z=p#(`<s~wgJaoY}G1jax>x0}n+!re2u!3bVklX<}U?6AfAc|ZY4A*+C1r3cH>~H=K
zWo<iqt_@9t-+D1!PP%DKXj1#y!nUv@gV)4;?D>@cbK5@ex(t(VTX9W$oze=9ReOBe
za$0FL60W`|3hL*==F*Zz2N^b864f`-Dg<JS5JW#M%s=?6lko5Jb|_(Tnr}ZeX1@kW
z31hL=PzFU(bK|garNs<CU&g)9S-1Qat21Urh1#vyKhJ23i+n~DM8AwEo_p2|Yr;m4
zOEo~{1qMZW?~~`KT^W5MZ0_7I%0McngQwe!HP!x|$xwXK{lii$+{gRvmBTLMt)*rJ
z0+$PN+RtkM#=BrbHK%tJBfZQGET9I)|5p$NCzy$x4IS=nhO*;AJTMT&9Zoe5CV;;I
z!XJoCQCF_PLW;#Ap@jwBX$LoOH<N$B+;EUKCnJE@OkeU<j515g4KUlE1ng6{L<%t9
zUFNu|m9o-AZ<uRVoZ9}zl<Q4=3V}}mk#+x%Z-3aL48RQA$Q3587r-(s6~KgSjuR2{
z7_UX;gO4Ej8s16-gKD&@5)u;YN6n*iIe#Y_v5#!082FAd53T^;1z<-)vI7&1XfBJG
zJURrML+0rMQ?4~TmfpT+X_5EtCB?XE1;Zrs_bn2jsCzzx2%G@usslg*$sR>STY(D%
z<eUpt^~Nc2yvN=T554lde_==jFZDkvz&P^Q5hC+@0V>E4lNfbewS|MVzOJR~<}2p7
zYUf5EBJgdRAXZM(HBoYwQBH=%#WxQ5+zY0QwFBVM?~e)LCm?$wFf~lt)vWlekpV*#
zY$R`{o&YQVik749>wnNCzSTF11cQptp?laTA&$E>-(=~sfGQ#9rjL?EBh-EAo6{a$
zaC4rD9ac0$tJ@K{d*Z~7i$X@&99K@=O=+J!F9QMyZPNj_)$EIb`>G2*^&F`DTq0h^
zl`R+4OtYjUaNlSOqJ=4LgPv*MStW@qAaO8sf<}n<jP5`Gz)h}1+TG>jE@+pE0%I+l
zPdXcwjD+{3>g5vcizYgj%G~@2FzjKCS=LNrnr%_pOBd!(+jr6Sj!{RAcu-)bbWXCa
z^H6g8R5-5GQCZ~r`kD`0hq)a+xFrTOrdU=!v<=anT^8Pa+l!KX`Y)E(2no@BhAM}(
zDl<ojWyX^0DzA2nv%Rc=Xu=OzM+GF9rr@VSw7?J;3hX>JmU+#_zv<?AJG=PW+|ayh
z{Qy=S^jDbGdlhcd6BZvWxudLs%Ynm9ZPmcct#sI%pHeQK`T|N(QMm>NCx~X0CC=1d
zlc>}eM3Al=!px+IEo~Ia7qDVmY22g!B(`><>BB2f4E|&qGS$1MJ9WkJ<jI;no3tzq
zl8FWnzp*}CmMS#+>RS~i@m;YhxIInV7#-zuntal}*0I>Dg73VDPM%F7Eg3w38zO5>
z3`i%F8p4$t)}1OVM)!Ox?%AhauC-LZSQjYuc=Zv7A~l^`n7LjKttd0G&RQ2lwK@bS
zGSv5$qy81~1N*Oy7~{lU%I@aF7~E;Nk(tZFh;@21x1#t~uigm`+sa9m#Cxe^dzYO5
z@?2wGA!DiuQ{<O7a|1IfSAZbUc!E5m%Ejo9A9|ZasPj#-^BuP50pdH;^!m^6)s+m1
zrOg$(=PoXu$1zjxiBs5<J4mX9c^S-@u<^E0lh*nwrhItki5XURT7`?jYX8`7!y8mf
zYAg!ZYeDIh-O&OHk9P|B5>gqZ)r#aWwmq?1p1f)@##F^>sjQW+qOfB~eu+umA9r@9
zn1-{yp*jrfJ9@f5zUFJRSDyKrn7G>iQ)_~v=oVs`)<YGmIqN1WR%#y}o8I3>J#YW*
zWKR7svF2NA>sfP%nC*{C<T_M|RH};EJKKWNMl1pyF&=5_0hfj1)5IxD+8`_Y?{?O&
z%Kym<x+aPIk7D(y>h*>{zpN}GiIEZrW^&_uuu3ouBTK|XRD$DbzUSV<kT_W(_KQv&
zstPtzlS~FPr%1a;1mNjG-3fCxq267bq3@NS#1k$TSM07EYoS6z=1pBX1r_2c^ju@+
zZHW?T&vUjSa<_VuQKyfejzfd0s8vGxz431@6kGmel+e3mB}(QlbUtpW-wHj&_IY$n
zo4^CGGN3HU>#p3C@=Y~TJz~2iyzRhmK1I}F4`L=$I8!>>UYfT!OO;ZRUDoKO0VKUL
zf69a3J-+O%f1AftAYtCDipwufnP)5$L8KG>Ypu^ALHa<>Xqc9yChQAv{kYrvDnaN|
zf4x9CNCNzN{F={(X;r$O7vAq4#!>Xh&@xkA>Xs~M8n#^{p$`e;q`?pOj2mGJ@}TTD
z-y0L~GPtw84bXMF^-DNmk?v)Dl_BQSyq(ONU5Yb+vIq>rB$9WI8-cRDde;=ljTGo|
zD^HIJkMV531qfBy=b1N+kLqiv{yVE>-$VVuDoY$FB@(Z|hTr5;<R4mL8KJ9NvMz6)
z4-gY6kW`L$1;FgoB7n0?e(8{T4^tQ4*oxE^4oPrzz*c$Imz+>ZRtqHc{sp>Mb@C#h
zQhP2T*&r*DhR5HgLsw_k8MuzGbSlVv)73`n7oHnWO<t!|?))2)S~ykg1e-Te)UD&_
z;n)tOLYe;&`USw!6YcR=uemAmiS!_1sdgP*G1^`M9$Rfm<8SO0(*H7w-e7;#S5w4Y
zTWlT*$HE!T1my<{@rsX)osX5BSQ}F4cQme()Y%ss>BpK(V)6U!sRu7;yH9B45#7Tc
z-&K2rTzfq|?0#4WAW~b!7BI)s<4KB*_a$e7FTa@?V-|^8OvE*ZhsM>ekKa`OCWUQ+
zOKtQ4<UNO>qxea9qv9q4qNh_azO!a&D-1BfW-Jf7yb#Qalhp#>d=$^)fNCG2xdkv)
zrF~u|RCRL*S-A_w;=xC7??}ARM#8Gp)KePoxQB^D@qg<e?x7)*$g)Z9Sv9Y^udk*I
zKJ>mA9A35^hRJqCjd<_a1w}JkE47SrmT|&;fEj+1V0dby1@!gp-s7*k3*3KXk`Yr|
zX-Cz{?Ng|<%UpSn6Hza#+u4!JqW`f1woT<Ulwlw}dkbS-Rf3c7>fI}D(8kBmvIqQU
znOa<dRkAV32*j|6(Dq6Q8~r8Yq@^YI?=aGb%12<?<IRDyOoP)%gL6Ao4M81%dP5}l
zy6jz?7el|=DWt>xJ<2`tL;){{lrb<-do9`m5VIB=oU(%0%z=BM2g(<56n25}(yp(*
zU<*jh<8#B-7f5f#l~jO1^dv)K0%HTuJq=v2ld>fomkjW{yU>Mm4eWB*6Y9=fqDHw{
z1Ol6HTPFCuSF7G%igZn~Q1~2g|EZhk0Mnw?K~5jjm;QxyTK^&+s}f*|;#sF3d*CUX
zq+4%(NAN@EhyRig>TfjW<DmSt40Io?WvzL6zN^%p|29w-vHuYhnSg3pYmC#=?e6my
z<p(XN{&#5mU<so5;<kV#p%)MFG-T*om}?aKPs!v2#rCOrTJJ`n3IVxMlx|tDo*EmD
zrNQrfZtHjQtR}_zHke5;Gs~ix>Vx6m3?97Zkp{$$54c|0s4zm9j0o|$-AB(gP5%9Y
z1n;C<AhqETaA?^tLgrkVEItAqSb{Ie-9!{z1upX5e5d@&5?N{A`FI7c_7|Wp74&8i
z>h|~r%BX;Y0qJf9+=c?Hj#ud8mWxHU=MIGZ9en>Oatpw`S18eP9E)3|gtuX8!Qtp=
z`ygLClyi9cAVjq)loZ)iGLR1_(5N@#+J#bUj5yQZl7(M@`_l;RK1YQcS@FI9JIy}f
z*i^e>U0%tD7^ujEp@x8|y3G*~YPxFpo##2wZtb!Jfx<b%a86AlX?Y4L;wh#vai-{`
zz22{UhlF*J;1?);9`xns$5792RvkJY?Sa?{0v1eTq7-0KsJ74~U!@JHNYpL$1fi85
zO{X`W!^n_nn;oJ;sq3Xl!&v*;(@fz*>rnOf;#Ygkl|S9)JTDTa%ky8VjtU#s>Xinu
zaG+NdT<GVQS9hc{Df}TJLJUz;*V>-Rd8((hu=`?Or8O7&BL4tFsbWBzkPxj4=W!Sb
zBQ;M;(?YCCFH@cYGCLT;fO%=5#-pW3E`1U6TGVShNkiN2R+r)PBdkz%sL7Cti)=AD
z9ZVp2d)&zQ-av_(@F0(PIFG+h9lQE)F)1=M-J_B!=KR?U4)EYU&xZ4TG_=1+?X2#2
zLkdv8PEiiclUfQ)XjT3zfS5$#HpH(<Rwflml;^vEC)*!jwt380W#2|3`0N}zw@B9B
z8&!hNZ{M(J{+>%+s0>qBN<Vexeyt4#C2sh{7MG-?j8-M4%Y~3W)oa<T<~5Yalw%ap
zW`o5hbXmI{RxZ!}SP7XH)__$wuDR5}03U2&ES!`2p-h-mf~btWRQcLY0*WKlE3X=K
z|2bH;y~UN~1_|9cNSS92!;&mQotF-a^7kiMy87um23%JKVfV3C1a&go73^r_Wh!!O
z=m?aaQT4_5d5R{K98R@;_PM8x-`+~84_+^%yGEYhD9O#MTW&Fp`2OLFOlRE3K1n-5
zsf0u8Cqfayt>h9^OT-*35yB%7elSi#@ez*aC{UaJ!u}4~#JcFZ^Y=fgl%W!uWw=Hd
zn#E^yCquYN>tOX7k`Fs4vBfRqRylGPb_m^N1-H2g&0>FDzh_Xx0p*?faCR!U6A>Cl
zkZY_=71}A{K)0y0bKd8IlZd&!;P7b}=8%|@QX4a+#?efBb+Z2)c=XUzD6fq>#UuAH
z?zQX|Q|I;+Dc*=Ek01)ETB3iZrxvAT<NZFB{2c_kv*xr`5!M~#KfzR`2b=}Ha4K^N
zCny|NN7^9~-(=6{)DybI>NE&F#hR@e8WKtiMu>SoihJxA%JA47n)0bHLmsXe9QF+t
zW&KP%*(s;K7$Ru9-U^*6(#D<7J)A?+Ph}m#&)SnHR&sJkFt=by@-0R>?V_B#Rmk{q
zE-$dqwaUk~YcN+VOu{5Y^Sw4b{KY`$SyJ`IjKVUSnLG|@Fx|zlr<L!J1eFE5;P*SY
zN0=4dfsVPUGY-Nj*(oJThcUHuUV`~UTjji!H%1w+8o{B<WlL$sy_oSUk@PdYgfa@6
za5+lWPVPS2(4@waV9)G;@*QHme?ldFIi43=S<t`Q8j8#x`J_O3Jg%<7D-45M^9Qx;
zNU6JMJwbIemsv1}i@a4SlBOV;%NgaHcRX4@aw^Ap`EPSVgBfG?Zb;!s={%Go-m{OX
zO0war2=w^QXh@Zt(^N_9HF_8uEMA!8B~6X0Cua$WFF2&PpB3duSI5mJ$x03X`UdzJ
zosbNomlP_ibQAmq>rtKDhvfC~N6U*i+?!v2S>|r|=hCStSq%=t&__D>sXMS&DTa3^
zn2u`(zL9bq|GCxo_ShUiAs*$^5GX{56m>uacZa)JK34c^3{I@Y$U)B=<Ex*p1~ybY
z1Ofi_qlC8bP_X3W*!O>pc}e&(SE#6K8%z!)1mb)+&Cg*G?r;Cje={I^{Ecta$xi7Y
zBQL@i9i!73OF>$F+dP!ZxzK<k91Tw$(bC%=fS&S~3D*{eb%BQpH{1|a1`$)S^flXM
zV0nN_lCU8I(dmaTi7#GY3`mIzsrth#m1qo=v8417E4vNh<K|7u5V=6*p!wKpZsRU^
zXY7+ZLJh-9`ULyx6q*dJiem?|RpZ(rkkX7z!FhJ74cLL-Fx+Oq<WJ1UsR{WH&Cw#%
zdxe>yBXt(}zU>*#p6icn+u6e#!o(ZelwYYxha>v2Kn)#I%d|55S^8`>GT*daLEzSu
zfi^(Adx2B|=M|y7Y?(V)dQ_OmJ4I2(H=v^eZ*4CEv%tyIw35G4X;SEgg0x)xrgq5t
z@B}4?4w+QBsfqSDxNejQ{o223(H$%@#}vpCaCL5?G&sa#Q+HNty4SdkR`q-c+~Eb4
z&cToRr0sWKw}0Cf+v)@@z-^9=Y|vbG#CIF<QjZM8i2Q8hq=krdszI8tW>S(y5!oiS
zBMHkTE;Id|!`55XV%2S){10qi)Pug!90ZzdLi^Fhsg<8`;Nc8P@Mb^~Y|)M%#d8b0
zjjR+*dRj#9DiCRfAn~;S{zCf`l&1d4voNLFJB_LCS+;pr0hKCh<>ixB={4(#b?iNV
z5*w_t`)_4r!-YPZrX7DQu=x@$y0|R8yu)*4B4@=eGqc-+&O2eB>7Hr2pVSz;7sF&c
z<IVa!;RcOwxb3K1Gih3;byRew`=RwzL!TnrKZ2}I4n>jh=3IkxP@1<XBkm|Bb;rw#
z7RO<~V_GZ^ZQBO3gC=822Ck}zseLN>8WJ}!VR~NZmV0l!Bs{_CC3E}{z(l!O#7d7Q
z|8-_9dUuNi+npQYJ_+f@J7`i>4zW#`nN&!atd5UHFQ8Gjkg49We5A<BAur0-`*g&4
zrl}HbnW_e)oICUBJ9}~sgXX+Z2(4*jMd}>)CQCSWG|$0%SsAW(<IEf+Jponf0-TB-
zSgTDUm8)<IZu5Ga*`40^%j+M*wo+}1?g<>_jHqb6vZhKz1v}o|CpWfj1Bcc@h*_58
z*LUqGEJ}FNsAVc(15LgOP$cKb&5cF|bY_ek=j!Ze!fo-&oghk6{{6XqXKHKWbvBoF
zz6%)Tdv~)Sj%Rn_?sx6Zf_|!aI42v7M#C<frRz+0i<nK%tZXHozuro%W8xx;Q%9PZ
z@dS4p*6^rqGD93!IMz5dQKZf=>C2k*MdZh=_If1^y}C~Q<L@-*+qOsMZSj!}OPD`9
zufBhoo8oCl9}G2#CYxEM$YE&SiU$JRIr@J6@8)$HT<!-#b96;I)8;z>ooXDqXm=-+
z8<77FfkaBhh%!rEQ3j&k=1uxSWxB6<T4Xv6fd0WN(8)R*OXx%qKSThMbx4~AJmnBW
zy~`Jzyq^(v%j{D%H03i58WyORJ1I_835mM}Rtb^Aaua(6q>siw)bFIu*uuMg?^v~-
zbmN&5zTyWi;5%|FUXZ_DgytnrV9mrgZI?KJ))}LQ{lSJlb&9kjCZ6j~NM9RgtqIZ_
zV4K3F!hP$_;JV~t5?{c)&7TGT%B2h%t)hU}6Su;^&~BbhlK01Mfk9h6s|jLLp?$dY
z=+qx9?_>4Lt!ke5jtd)hlWn(7w}GQ{&zbpl-OU$nH#CE~=JuSg-llzma<sfD(PU|R
zz4@&I0DN5)5--GpX{X=1vBl#>)O9!@&IB+kkf2G2tHw`uQP$}qnzSP74P_E}qUZV3
zLyxbc!Bx`ywYmPDDLx1vM!>`ER8l-gC$|G*a7>G1VW6;E^szFQc?WKUC5w5CY~8bI
zlIu^1m=8t2W(@@O85Pb|3P!M&^P10A&DN?xVM+hoYe_leMEsJ_Eq(gy7SGqDVm*={
z$u;oG_1x5OvM18<e08&ovuzC&yIOMQwhH(C>$KJ0Raj9ts_v@XJxF8{n$a4er8fgO
zp{!JQ-J$4g!kqrY)_4m+*9Pw)0<J6K*gv8xc_>Mv+nQNESvZ1yVHg-fU$gwp4ZkET
zI484R$N48+6)|kRVkT%#ch0=;Z(cu;8g7#&SykYE;riOX_N+NTq|Fj#1=<nAoQRtQ
zM~Xt@R`<k~o52yuq@3oJOQCDT$2PTc$RQ9*yY;PPrhx&=<l@NvhbB>wJn<$BOwH+T
zqgRHz`h@S6d_A{JeAwdew*5b8ohe0(vv+^Z?5HWzz9vLd^8Tq{RM{(GkS;<UEoIww
zbhYIc$8l5SkyS~PCahabKBW1D=aKv>`p))9r5}Re2Z_B9%T*DG9pF1koxmne=;p~L
z|M@b^FyRHc6t0D@O-l>;o43}f21vKZxpP~l+@G|g$Ue0hl<e!pe@fq^y=G+**<$~|
zDe|%J2a_|A_<`aGlg+$TgSkq1y%X2;WNg)LI$f3x={L2{^)qvokRXNu9YvxY(yY&t
zmUy{1!?hpbfrnBmxltf0m9)f7)q^v~eQE#<JcU;cgOC%QYhM$3p8#>HhJksSS(~N+
zrKq(R^V87Op^QWO<xkMn8gFixw{DoG)UI#H#GX?l7*-^ackN*vYSJoS%N`-8RYW;_
zrVV~kNYb*5>T%U}x_ivPl~M5eEKgN(FA{Y;Q(qq_^*gRkyI#H_lk{AGbPySEUrRO4
zsq4sP-cC5ja~Fm%?Q0*{sR_7)X+^J~Rwu&QdD5EZXpk-BukXc_&s`p4|EGimS5br;
z<$@v8hs^Fdn^*0Y>fHJWN|HP05&B&fX$lPZXW*W&tT6&{86kYwc<sL86nY#8>0G-8
zWhR;gzLB~EP_+0RlotQgwy7*k)&_zH*ArmvKMqtQrN4mZ_m+yRvUm{+s1D;zKi!@O
z&*8MrKCDEpvcJ>(SKR!&iAd26JBLph3R)g7s97zhd7rJm-9aqxBIp~w9iX+Ov~7_$
zKtw3hTseV>1AoCFhBMYAi0BO1w_gmAOJ&CxRRBAVM9>ko2AnATK-~#x*?RADF$L*;
zf%HD(N3$OlMzTJ4c#lm)@hMuj{~!NjP6w^b>0<6&L8kND`!vF!4e*+fxLV7}>SDeM
z2VkgU)(Jip=PQV`&UOV+|0EFLw8lUf^YjSBsrgv#Kiah$&EV7Sfa=F`?yVepHy>jY
z0K`7cIey|LAXqeNea+7rSL$tVew6a1?Efx2ASn2o{Cm8iRy5B6m5VbvWB3xVExO?Z
zZRrrtju}YT$`e?D`)Z%RHnlY(Z}?U1uR-n%nQFm7Dd7tcD+ZvhaqzoehBQY@|5<o|
zco8B%uw%JdDa`GUJG)%9-wbg`6Vu4Nj=tuzQkM}&_UCQfNDiu+KgBTz-x~_)9jr<q
zPFMbg9CifIzhnz<v5QagCy#OsVv8GWoR#YiI!v<-brfgB*6n>6+&^s25)*I7C&YE0
zgfNnk8D%L_lSO>ll5N=mEx*m_&kA%63&z2qmn3oL1k=F#bo6!~nwKutVt}ColYg%p
z*bMEyigEJ%|B!Fg!h(0?Z)5_=7vtTulJcc?;-%v?3yhUy%!^z_{$EdL;t%EehH)eY
z9dS|_`!W%deH&ZEF_R_RA*U=IjBSWP)?#W<9Z6%~!U=OS$etm^2+deR%F>W+5W~oN
zB%EjJ_xa5~@VqngzR!E#*K>WZJ2SQH!g#CWN3Td&W20!3;wA-}uHU=^H?KK9U_}o-
z!ui7LhoJD|l&)=9Myd~w+p-}eNihFRNBjrm+Y)aauyW^B<aV4$ZX8S&_YOPz$*cIH
zsm(+EM`PB3r@5|Iu9HlP#z#=+ImE8$UHi85A+bu}ZS_0Iqj%$4uGigf^J4GIO!Zz0
zpZxM|jNnv(TC*88`|=ALJKApqyq`IJ8jkSxapv)#VIw$h-9*p%?tTXO0-L(iXJTXr
zwR5Syxs;w~IW~;cl0c!{7KjhpW%rszOV`)wHOv*=ppx%;PvE+%`b(1);c0qN9iyc7
z+je-II4ZDEan00YQ~<G*sNMIxUbCtoEUEHEU8ONzVvl^A!c%p3AMYteaT>s=({=DL
zf7CGE9lwD4#8Fqis_sT)#W8E`xG4~dJ<*LTSmW-iU{(Eo;~<ce$J1?{ax%%4|5*wx
zE6)frDo7%4oZi`np+&cEiDWc^`x9<1b#cgdOX2~GVCtk?8S@jMqlGxeR95)QR^0f9
z4&30EZc#b=pG*g`N7nWoB|TUUPQs;C43+chX=S{D?u?h)X5Laf1QSing0%ANZConE
zMap+F!Z;guKGQ%s#)_lqE0ncz@fsG~<in&L+XDb3DI!6X(nM)<vwb?w+U_T$<CPB=
zz%;k_tFPwgTAv^Mon3dM#y4WG=(W6%q8cXdE|oR4gcWhKA5K771|`>e+xHER13@bI
z+ZTd9ES9rZ$?|3Un+Pc&k`{r1Lx2<VMjI{Bz0a@`uYiP6%K{_R4VY&K2YQwO8C=-9
zV8|3a<dM&>rYaI)hnDVTav%9CS>%leu$GS-DUx%N+Z)J?R*pr;bN&f0ci@;*ezm`_
z883t(ja`S(S&w(u#WtQ%ZnktcI&*F%Y?<>Kg%+6_-qe>8Y~N#$@SetEI!yE<U{itJ
zY|ZmKz~`!?u(%RZcH^=hJ^goQ*DbKYrA-?G#~0Y+=7E4FXTU=PPybv&hZ6{QkaUln
zPLKqdCXz7>HFO*pCcpsZROf3U3DqunrIh?Br9#n7?2gYKzic6{#}47erh7_%-8JYG
zE?$kH5$ARe+DUCZ&3PqI1^m%%sc&-Tu`l&bJ%)3?facoFp7nVuP#v&Fz)_&qofh@6
z3IXXKh4{pHQn<V02}7hwpsL*j-3#;fPK*2glCvZLqYd;nCRq{7-I6;P4?E?$UiB!<
z#IgL#CV+R*%c`qpw%M<dAky<qxvhkG>O$GSy30QO1x`%Gu=`VsSs(0rD)(=HJHzB+
z-y{FCt!M0v0S=r}to2Opb5SO}6#SracP@+$DU2oQ8s3Wq&LRJkG6jf@A*cWcL?h~E
zZ7EPw`z@ncU<5lU09Ei?S~%S=hb26McX5Qnhh7>GAY*~pw=4GsG-aYLxfE^UtC<IL
z;;K%--W*=ayeJ0V6e@AMJuU-$nHh7`v6yFTGz&fv``^JD;DoST$#O)1v4GK_$I~*#
zcw{_O&;T?8l>I)iR}zuJyh!WnsAnu*rbti~F-vYUSgC&xwr0$6(+^VOnhd`BLWgVv
zg{Tblr-FX~X%mP2g<vLq+q#_6LDSQs&+}MHPX`~~0AHK#Sn*8`clv0LZrVRcPS={f
z&s`wuM)??VPOVh)lTOSdVs2p`e%8PJH!)3C$QQB*z<wPj^G$<YA!&alr^B=rM5B~P
zgZ!+7v0O172C~MITbAk;>cs91T>IHhQx9$Fctueqk@B)dn#+53Q$pxTpXE*YVR+s*
zZP7o)vHngSg;a)kRAY>-O=v;*S!9V<ibdSxuV2qUmI~g@@k+5RNb$09<@W*e^Hh-Y
zZ`0;F)A2{iF3koy2$UZ;%5oIXV=)8{1#2dwmv@h?$>pJC)*<^7a8S0wh*cUW%hxE&
zeC!|fr0foh#Hw|m_fGmgeaKRZby~kz-=i2&p)xUEjhj_7=QtBZ*+)G3Te`~Bh<6Yy
z+ZyYpKaeP%g-$?+kt&Iz5B<KluA}Oq_+wWa5j4Lo-=}*|4vr1JZ49iuqyzc>nl(jv
zA~JW@4Nq)kc&lt|mdfkULsw}hnk#zm=GdtsF!zhpy9M*cSCf_nt*6Y9OA<a|cc)m-
zC%CXD*2CvAdaafJ^{y1ihH*fv5$ajjl`5*q%WgYxv!y@L;M`c=%UGyf6X#G^^4@<^
zAfDiW&rv-|3TKnAQGC||{167UcMt_5e?LP95{IBH6&*SpcM}%?2B6s=rfk1hGVt+;
ztbb}e3p@SP)k2&5JG&&=_brRdV1jU_g~GT4ut}+NtTn&NKhkX)9+D|Nps%Qr`c9wu
z(r|mUW8>GDl?G>6v*Yd?sqFwyL<~Fm5*SL4k=YwaGMd|xWJZs)V3-&I_Vm8{QntG^
zGuvDaaUR^VuyYP6V2bNAJGa<W<{?n>Uri^9iU>nh14pf}J?evZFF@Y9NrmRkgMDS=
z`;T!;+5whj6JKt!`%5;2UVMZtXSGuG(y86BCLQgEwgx$bG8V>0!9_e0k6tWZZB2B2
z)?i{7D0n=}vzNy{B8}DpF;r~bS^+lPWFP2j;39~MB1n8v(X0zd<cl90%%d*A$1jtb
zG`ao_7|V+#&$L_JsMU5@dHoSc%@tqctKqx>i!_+0=!EiT$a+@z<sR3tLGy!ESk5*r
z2%$)Lz>xYysZ`>j8xoLq7Hm<M6q3iR_~<pWbAgj$N~LQb)piUGiWpAlnDJX?qZtbi
z*}P_m(p{{I9Yo4}eI<OT@>@xe+ARRC^_E@J(2q)RmJcFn5_o~-r;L|!bTs76tn4Fd
zgXe_*J<6w$b0|hEhFbF2ZZPbWN4@rCVRnaNfa`HpeFjEIt9#?(=Ve@jW+F~z6R$AR
z*X&A%Pb4-9@c}baYEE&oLx1vnt4@-z1En0+akbsGZXeKt+u9GX-I`fqx@X#<fzfKu
z!^R3F3{+o$duRq}Dz850$Goz2$DOEUuA^*WK@WB9c%s?A2I1~(js6v~PK9yRSmI^4
zzpwF&kZoh>j>YPxM)y>yC{Sac6XEzZ;q=R?qg=H|k=v8lj0^RSm;W>|A^EzMf5?Vx
zn!;~zZ{`zB%l~MgW}mtQAS(dmvSCQT$OPwrG}~Y`Zpr^1`=d_Zv;dOw!RT-%=#Bng
z!J&?DY|-}7qn0N<r3ZL8Hg1#*|8-oyy*dA9A5#he^?o|prHdEq@>jf9P#7cp#7#}P
zA4sIB2bYZPMyN(G!4Z*gVFVJHpKm#KHM7Z?2~Syf{@DmsBOtwdaqh}LF8~EPDbuo_
zi+jw=+5#uUfl)bx4|`r9__dbGt;K@Bm&qZ!|GT(sO%9+73<+d{zWA&_YHyT$;Yc)n
pl4#UGwcUIUw_~l)rYgI3$i9>G_`5l8t`!^jAkA&es!ToZ{09dS@Sy+z

diff --git a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-2.png b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-2.png
index deef862603bfb940557504cf47f4540382f4847e..b0835e6487cf8a344c806fd3d0b32dfc5764ea9b 100644
GIT binary patch
literal 39958
zcmd?Rg+o<M_XbKShY-#Iq@)|^?(PObN<tc>yOHh&X^~JsMGyq(kZ$SjQaU9B<j(QU
z-*><7{sZ?7IqtJ(_UxH8Ydz~(&k&`qDt8Z^7##rt;huuL^dkfWWKRSH#8?OtxN?>~
zPzin@x;~PVL?{~~*#e)T7P<<SDk=yM!50t&WJDYUWcV%MUj#%>1b8bv@IPmS4FbyV
z>j((4;3onnJ13VQ2d5xAF9ipOAUCHVCkFxoMk4axErt_O{{Fn42>tyT6*Rm^g#Gmy
z5g`%h@6V9r#NVG$IQY2{l9T@RIr*Q@d5HgvE)VIi5g~i#A^-ImG4_9r?!S$gg`HoJ
zogD$;KYy0cw|zxGKxwkk(sk2SQ5H0Fv}ZLjcQmzN^|E(@KLA14OAvgtw{SC|@Upja
za250tq56G?AovWw%tl4=`xZA_5h`63bqXm*7YhnrR(4i)Dp7O_3JPHtb4$TT(z1Ux
z2Y(ZxvUYQG5@ciZ^z>x)<YIMnv0~#85D;Kv=VasLWC3@uxOzLdnRu}{xKjVo$zT0Q
zTezCJ*f_b_I66?k`!z9jbaxY>qJlr@?|=Rrr@hnP4{~t*^R2-9v3Z#|v2n1nv;DV5
z7G5_04DbK6f`9Wrn>krKx;eU9JN}O+{{8j;?7-aY@3A_$yV(7n5_2;)3p)#Y3kNq>
z(2nE3j@Qk`@_&pM{>>kc`@IT(OpY*EN<kGza~n%<X%jaKQMjqFaB#A)^J@KN+`?@C
zanC<f`@6N2iv?);|K0ju_x!6hd<F&8EG=Cv+_Y@$EkysYMPau8y#BwNNZVN1xY_tv
znE$V~|J?AOooKq7x>}gQpZm`}U<3a7^#Atl|L#G}1&qVN#7^|Tb@2C>|JnYZH~;&V
z|1kr9fB&Cd{4>n|`sjZz^xq~Y2w$o{7R3C&t@mGJ`0ow=H3D-pL05OvXBK8||9TEE
ztKa)u(!`4GUzdg1{_EYsaHA9iuLo?}1iptwIfU8%U)TP8rZ5|Pga2#8|L*^ftH7Oz
zq616)%QcCjk3E?aL_iQnP>`0;@<QBw>D~Hx?CPu~JozrI4ZcEA38u=!(7VxhAB8h~
zN@Z-ew7?I0g!2NTAm5`~lt_c4IFd&Md#D+He)4J2v+1hl>)|ffUel1k)a9D+PH9t@
z?aObXQ}qYF3%2i{|GNAp=7WYvNr4g?2!$d^ibEhlrBol?wV!C3!T<8lH_OkV(EjoB
z|8tGv3KD5yNv>JV@K1BlBJJ(LU!DDKFMbAt_78{_J=6GihvLkdOaF8afAB6fMOvo6
z@<hR(Bl+W7-J)jX|1*>sIdNvLtBiLt{~k4Bg|a{D-|ql#S(y;1Yk9`;IOhK}HqHEr
z^{=-QhnSNiRt)T#y~7Xt_n134e~|t$9e)n7M-<64bEaF11^wS+j<nbo`q$JUQYQMN
zbZ~x3c&m?x^zX;^WBw$)*jUmT9(_oU0!GPTjq>Z))d8(iTB+VAx~Wg8yMsJ!&x|4K
zSV6*;ncs3;hir;prny@;|N6Ppn?iq;MapZZTj#Pt=6^auCgL;i{q1FQ@z3A0&On9&
z7V*`bL&JwhZxnrZE95@tS9?sGM2r;5eY5_V+$4acJ%}FU1nn_P>s2K-Nq5iK{QBzo
z#tWUFS^ht_iX*T{(aUMY2wwiIACvn%qn{uK&u@O5&%1tQshO|z`LVqeaAiMUqVese
zCz(JU;YV{vR`ti(k`&x1#~Bv-vD32DKfq0o!DG$h1vVQFn%73Yy?P$7o+QU>Jsc=<
z9z~y9>$0K9DR!|OB84rIYRVwda{J5Ih1YJ{X+(w~Nvaoq`%I+;fwAAw=o=+9{uPut
zQI>%m0oV1Oq_4s!v4aM+PA1vB_R}4F_Oqu8o=dbXO6jbc#j3O%&Z`~xEcz6F3a@<k
z>okj$E2>j}uiH8gQqMrPV{@jV=k2c>+sV?p1&_IxE`5wshMuI78KnF!$;Fnz)UvUJ
z!d~oK?mLqvcO(Zs+fMDTC5X{Qc$zbN<jckpAAQe{Ame=8l|Y_A!)LQd>&t?t2niCF
z$%E?B#Y^xlxM|+}`~h=v{WfG_HfWmTciii~Jua~*0wzzlmCteUdXR648$8^3t;_Fv
zC4#)(V^6W7!mOKBzv_D@f${5W=Wf!7d*4ex4ZYK^-k#7gw%5V4sXb`EI@_K3<bAS9
zcXGb;T+YCu<>pMwZmIcZM2`GsuV!h#YD|@_<(l)3k=IHXxZ}1kL9}2R8C$ru)lO6K
zw|O5EBcjl)StabfymRcd))lvVIP;awxOrY!zxvrk^nIqh+(_-(Ewcm>k6{T^Qm^G8
zv0oQ!MJn0qkK&2A?!K%4mg`Fuq4EL@+$5}qMd?hR0nDp+bn9ntL5HP}Pih<nRkM_9
zNhP6M;o2@kIRbB#(!1;-F1^%RvDLOyUHw+?KYTXTX*yr@{nTDWn4Gl7Uv>Pk9gDgG
z7}E<jV=@ivhCsSD3dXNp3+By7T@TzUo_+~NzyGibjE>i8AY<gS{ag?->Z7MWPq(yQ
z@z_pIK5@KfBBS&y`;jEvizH4#2$`S-UxhGA1^vvq4hFex%sC4P6&k=sFfk66qhf)@
z3cuvFC(glXqT5EOLXfvCm9-YPr%rCdN2d)H&!tj_)GOze>y+o}1%mki8?F4Kcn2<C
zigG`J02Ufg=p|);UaYWwOTf)z9m6n1m)o0jx#_`dzH+;n%A%L+2RTs52Ad7L_V9bK
zqzLkWi`CAUq~h_tsdDnw<CmU`0%y}^Tddx;J`dp=zJ~y1z;dn@ZHD8)jYS+Wj~!MN
znD7u!l0>iaCpE0e(4&}{Zhjt0vAEgeKxC|G|MLZ7pDkKDiSInH;ze0Mn_eSw3b5fx
z<nqLIH+kpm*6t7oTyCTr|N1dyY)%{{i)8DSLZ>oqf6``-d`G$<$qQ`oM1xv0(}pi|
zqjRbSr=nN8AtpUl2_limQeIZt<wm5J{N_E0h4F&ucfRf1Hmf_)J(IqKJFTEbsn%MA
z6=rkUUmdt=dC85pzpjoX9%>e0X3DZBvtK8_6tlsUlRc}%hTDva;Z=O$^{3nBM%B!-
zw|tZ{J2Fx>l*^(>ciK4p#n)~^QlQPEVmGI_tl684+U_XxV6J-7h#z>?I4n%-8vE{5
zUlf13(;f8Elw^hy_f@{w?e*AH(K&U5??t30tTUF4jyWYKo>WNmay`W@ltNafZ=d8&
zaZSPKA48Qzh@hHJ`DiP4+(QkTo}{rn5p>@UEq%ak4Lxal@C)pgF46e>`J8a>$=7JO
zbaoAUpLH{*w+n|(DFeBS*imWC&`Qc*o0nrl{qd0EsS~@IaRmtp430TEmcx2YC{EM6
zVoJ2$KDsCd>+y!)*cAU8>`tN&3428Nsz=n<;Y_RCsJ(E4!7f2fpL<JHT`O|Io?2xF
znVNf{hk1<8R@^(TC?iPPgo=Zq<@|xklS**oRcD7d6_Ajhj;V=}iqJljw_Cc<t8}-T
zy0_M$9)G71xRc$QOqUlA9}jyPfmQZuIynXAFH`T+$!Kw?*H(#wDD#*oCb<T<VrJ1k
z7!oV>$Hx+~&)0>i&z?zQm^6GbOWxyo;2?#<k(YvekEe@tGJKC;RmRH$$8&-CekIN~
z)g6ya>zj|C*S<#y-}^q8Swgyj0gr3PScua!x!-#phtg{Z4Qpc&vLndK)2x9Vz1qBG
z5s}fa;pBqv+D+;iE2N33Ui;~MYm9zh)41r*=^LU_&tS&Q>hU0A^5{=v5g6@}ossQx
z@}T8rhesB17*(J>=>av;0|}{WGqyIiz#@ZbNC%(bx2v2PBiAC-v|gLsX8)_r{j*Pg
zsETU@@E9r`gRn{*K`TibV=CJK-8O`*BL%gMTWlgRRx`qP)?ZN?N&>%p_f?DH|B2A+
zNFcl$<h|qlS9n+71+WGGickFH_Y;2m%TRGvfNuuwynCkkFObq14=_Z<b7b!4za!%x
z5BvXdmqGTfBPFu~C_&hw7t1GK#cqMu1hM=II0EXFA}u}vBoGG{0e10NaG$z+kC@wj
zmfPDz<UW#Qt3OH_v)*wp{VPA<wss~zTmi>bGy9C`ygSF38fCQa1=G}9O{*pUa}fX&
z`coNGjMt{DrDUJNF)IB!>x3Z{3Vbh28Tk$-k}Xn-&)L@)7PR$!B?$uYkMv=S-{tWg
z4E$2viq(?B`0e3*sm;N6cfhK($psEx#;`Tlf^Zss@4;lbaSK2z8+|V@o)g|#S~Grr
z6E-c4UFo#arY3fSSK+-|(G8#!xAvWuV;fa<W-gWG$|v`tPrer>R7$LieYPCTnz1+d
za7W_lU>46<vDz(&>Y%^se%1z*w*{QQVEKbvUn`^ljP;fEC@%!d#azCV9TSDl^yGbc
zv!vaA^^{R3yTu^KV*nI2WtguvG+u*v@DAV^7X7N8fSqR?_fZyo51QU;7N70SdA{;L
zQ+Six2W%Qjgmk{(NnT%-E8?qIh~G;*kj-~c(M`59R*Zf3RQ_(Bs-dj7{(htmDhnOn
z$+)K4!t>i3YO?71+po{D1lAKla6K$^2a~_%MI#S3juS}`hgnxD%ab$U<=y;p?g%$_
z#XU%8GY&ZYJ_1p*;l}XFAIr`f$|#O_GWpDeK`w?dI+I77%OSG*`+ObOPO`JoGkCO^
zrwXh)0|*YkbAY7}QGW?w3RQs(ypGLR&wml+)kfpN0CLt~<?Z%A>`cuU?&FD^;v-g>
z44a5LSNDd`R}jLrOJ6GE?&wQGl@V;DILjuVAGu)F3jp19%?76FmVkuv`LeV?x4-1R
z*1{c$Kz9ihoY$}Wz{Z85Avrc4-F+ZAlq@&eAQ&gp8aW6M2FqEJOEf;%`8{d5wHcvI
zqfy5__!KtXr5FL3r5dA;d;oM7H-`-5iZtkbvP^O>k2iz1qJ(yj%-6Y^<uVj{frKU2
zZZB$Imi@4&UZ<OuQhdN<vgGw6A6C#11yZVC9gVxu*{F1Tb<jfU7EB`;(P4>li;d;U
zm_{_S3Z1|=v@~CMzm^Q0wy#;xElgJ2ssqjgMuE`pMqjoEP_Q)0#S_P-38XL8QtO1a
zzdE9D0cKRY>PhDZL5#7^dW0%l?Sqc7|3rXtDj}Z(iN-@*k+_Gi$a#>8r6(GGx<lbF
zhaa|sTf0DCxj*5o0Qo3bs-f`a)Br3A1UmiEMCy&=3##w@M(LaAP2J?r=SBTa2Kf{m
z=WCNZbLr}s2w%`xur{5Jw$(;p7YZn~$DZOK-Gz7BjMnqgv{`&q#Wmr4u63K{(*7__
zOCR)_2y4~d)xtc3gF1lLfn{cXS(&kVWj|YGBd%QUz7x*2rl}^f!6XKDeHo`@^-Q5$
z!o+)>6TFJ3uGF!4gKd7RAreh84tL-jKwJ)BdGa|&*t@bkDN(GF!9aq@rFeVD0<5>8
z(aXdxI#)G$@%InF4o1gAEM263>6RR|)=p_#2Hlyhwr#DOeD`=~Guv^KF7j2t&tC1z
z)fl!&<i5A|v!Rc`g)Igl_@6875wE;AGr<TeIQ$*!x9F$@j{?5jAvoP%xB?^i9LGS3
zLIqDJk7*+V5V{^wyQ-Zs<->qsCBA~>wXX4^mT6jD95z0D{O+~e)ZJZZ+18KUj%-}}
z@5^68vbk+sfENOO07GY7$H+S@hUDt}AR+9gb}hb;tt#6Sye8P~7;i-YbTO&_DspZR
zAX%b8KnM0iSY6rMA;ryHEtsbF@6bXJL><q++RxTv@bM|)ri<PD6Z`5H=QhXO;hP|_
zvFeC~z4AMbVvM?3=(6GbmIK__Z5sxgu9V-&<{;xGNHY%OJ#Z}^vej;ZiOp_g13uS;
ziXx4OZg&4H%qzLBdtqaw2fpjc5MO^k>LyR{-QfBvJO;dsR(H(MaV*zR?Zs-0ip=W#
z2ZOrN*XgW=iow&*_>If-K6RP5Su5-U@ZPu<f4R_74jkz{68>Sl;RdJ^BFMW5v?+gb
z^vvVl5L=^w{k$%KWZ)SU_h7Rdk@P_8aD4q~qQCuO<IL4~5$ZkSDyJ1mSI#E?t1~Xk
z0k4CmbFXO1Um0fcE5cN=-UitqMo4m;W(fz+7A*L!M$vz^n~{X%1NhhcWAe#o2>{&J
zLF|@oMk&J--z3w~mRtkzpQ0Sv%HKT5JIB5bvWDZKx1?sQ<?8vtnW!DGlNx_`mh1dY
z?v&ereXtNDb?)DXgYF8L{pz7kFmUd?zwUXkNZL00(WE^DTQp<s+Y`qdv6f|E;|E}G
zs|EVFcnJ_nbM2eI(4&FaJ)t=n=T?$#wcYpLdXwH*OsZ6>6r}6=_4@KerITVaw;fw7
zr%if?-DON`ya5guK-}X`YL9W2WcrYcllj?UL6B1*wVi2%SvG-e&)+<o%Jur<C~-(7
zn|I>Flc`YqU}u+dI@W9&=CID#crFH0e4-&3m7}d9Mo<qdkrmjflQjb8Ie!%)aWv>&
zCP5qokL{`QgE&mZED|M-dy?iZO^FPaBhQTuP{iw%33O=JIqq<uPiw5On8)+YlBBS2
z<_6sSJQ~UJO$@i_OXWa};5h#%)IBeS7%MS3FQsnkO3qOsV7`Bp|1JTn=5KIxj2H9)
zeNFqlpY$zY1)8q*8%~_pzjQZx?CF=+MMQ@ZoMrkd7iDkeDzVmeSbaqo^?U*N4+>96
zhVBMQQm-MwGXW8l$PI6hLKW-iRHI`fZgFBbs*q;EHp!N(W9#U7aa|MGG|B(QXhDs#
z;sKf7O@73Ue_*cP!yu6nXC4~~8~OMz*az~!NQ=!M$2Nz54Hj<Xc)%>>2xQxF;0W?}
z+fZ>MIJ-2}U;O1a(*2{0Rt?~8NDT?^{f6Zff8a^)xIikRjeojKWJCg~6)~T~JYXaO
zz&j|<JuLkR#~))wDqs26Fj=kGN;7SEDFO3EgfqM?`^OVWq?g~lFY^I0yS(MsPhgnv
zEFLSKy^Zn)pr-QXpWAVKi~Np@jUW#2v?Z172+N4$p9mZB-+S^$2b?kp@JJ4F$rYa`
z8UwoAUtWXEfXiyg5BM&6wOo=X;sTNs0!X74blu$x#cCi!nyxUjSXF42%<#<u&S^8#
zs&77pgaP=1&M1UOcr2EgoEFipKM}1A!M+07H5RF0mGAjJ;`@>eC_8)}H~0{7v9ldR
z%^E!Rs%}*)Lnr4?fU{Wgn6p<<+)jd9TqME+_t(}iRpAN7HPzuyR$sMj-!?)MJB4qX
zk*zuMGaA{=BTeay#mx3OoPwSlx54vYaSh5t02V>wEE7FI5fjfmF;YSy{x%jHEE73}
z_u)u}R|i`N+kM^q^E)-mkF_5Cxn>}5hQ~Qf#Mr!gWnr7Zcn!??(UOvf|17Ex7<Ey^
zlhkVVC-O;|+ekh0DGyB_vi+GDP)LF0<w8-P_{*?T0}({?m~_gnx8Ik8+%*9wdb<M3
zKmqQ;u;$>o|JxHodk~Q@2w3Nzy$6ievkm(OsR%6dp;uzh+d|PAb}M7flh{N6%L6!r
zN#H%fUV8jaD=DECo7|uIDZC>uXC9tEJ3>OTrm_jU*n6*2&O7+QxaHRi9U~5#T)Gi;
zII(9~??%LHM`*$8FfYFfD4<ozm&}+-DiFkP0DZUxL=}+bVTx#!2mS<EN-G*l7N29h
z_9*5?7=h8US)$2;+n5RfO4|T~zJ2tjFP%+obx7zS)Zx*2-M3uZ;k++cLc0j}46C2r
z7XV?HjQwdVfaT#XsU09hS5LK++l&>xxHtu-S%0~i{Z<#es}fsNs`VGGppkeIflA<z
z%+C&%UU8aZkqKvLGb(sX<@Js$f$R$`h(X@AdN$|jUtZ`kwiS&&=Mcci45HTC3qo^V
zV5cIhk<^W}Y+%L!qZaTb_)do~-F2sJc@rEf;+&AQ)c`2nuwVb)VWA$ynA#ac<$0&}
zd%D|fjfax@^1s~XYn?skox8!5^*&B)9H?Fc?4S%_V`^_>8-xLG_r)*?SYOcw;1dWd
zmAvmP9kRxa>cNBgPGbE;-b``d@Y>`%Yi?jH>y$_@1>J++Nc;etW1vgY`>#qlD5tP$
z+S$J8<OI>5470<4wuD1Lsc=jQMOWcSQ-DoE^>Y2sW*)!S-kYmo+f6wKsSS>}=;atH
zx!++y3~O)(na}rp1BgJtwbvNqhnGIvZvlbHF}3G%ZQU7tAE3}Zz|kQoZFWVklf5ar
z(}WRJ1r}EMLA~EQ1}Qbs4{2R+YA6Mw1-O_GG?oqwbduE`d$Y7yuE4h}00syoHvW#i
z>Ba#>Ay>(?O8QmSCdU9&=-_}XiSz(ay%D{ofSLddlmdv?S)OLQs>gWM8(&b#?Y0Z<
z@z8mRx@`BDYXdey+-srUUFha?EJ65KUepCE%1mMN?PAzpIqy(4qf~;cQUM~U1SCd4
z+zuA~M_(%#=*$7j32b*9FG)Ij$GrjaJjc^i27W*|J|B;!!@W-(b#peC;2HV0cl{;T
zF0Va~LN1xxutb_3t5IVui0~DUd-4YW%=!hQqBw^$f)~iG{0zSrLVKtH1kytpTPQOB
z?(AvL%?b9)F)Cu|x?}U@CP*s}xYAw6!xLrCs=ZGvh3I3aYM){eb4QwOSu+U)p8(dx
zeQ)*$95lQZ;I&m01v|N$%y$<!DJ$DINy`w}V%qeiz<{Xpsx%Tyr~Nv>sCx?yd<lp5
zHZX@BTW;`cGC0G;wc+_bdTbdVl~lqG)9WMf?#t{*vc)~V0MQ*~3m>*3SA_U>$2j1;
zeB<vAGS@T4OqB8U)<Lk%V&Btlx)_1*DX<)fEa<U2UGHw&$SY9mx>r3l`;d2K!op{)
zD3C9Ld;2lw>W}S-kPmI7z(1SM#q$LfeghjIzK$eDIC?@;RiN`q%Z4)15am~krD((6
zJDw>hdw4F$)m}gQz5*@CjNv#vgh_pE^gdB8;yGP@pW2ZswL+t&$$7fWEav~yO;yFz
zu<dZ2c!)Rwc;~Q)R>1R_QU4;`qjp_i)K7^zr>TfY9>{9vb84{YPt$m#{XsvR^f<oD
z`TKA_yH-hlQew_{#U3+AJzvA>iVD}&M(F%bN90a}$?2_pl-WG0xbHOZ+@q?|@ZJZo
zR;yxxkrKrvD9|mlPJE)1*W$ag^J8v0uzb<Ti1IW9w@y!c62*jUQVTOaG-W$oF~oHM
zuCo1zBL3>a=ZGh)5_gd~dMiYR+%*UgE3E47B`VamUg`PW`Hx4`|BC8(h)7TLn8abq
zlOGs!0r(|+K1QesiXUwTJgZHYm?D+~C~+smKBF0tHRuw8e&J*Xn%P}D4E9pkT5~(e
zj&sV%wd=`Bwb9fHh#~+0P~f2OKM%34>@FF5fE<iRPvsXh`rb&Zx)oh!3lQFlIXqKX
z@Kl)=Uo(hG0>BQL%Hb`wF+v~HokEhhL1m$CLLbFa2TT!g1L7Z!9gaC&P|P_J{Lr`&
z{=Os*!J`0neW$i0EBRlj<<I<L7~zliqd-DAoM3(YF10NgH7NJv3DMm+?9rG$JTiDz
zP*aoz53;~zp-AQ_q|h0(;+9xD6ZinLYJFGBF}yn_0sI^3xR%@>5fU9C2%z|rt_O~(
zf?Su6ejWFN(1-edz4KHH(gBD6F;P1L87%BZwW5mMUG%OAW*7x45JY<DGAp-3tlh-B
z`!(qbWnHXj8OkpOU)Zu^i=3*nCdRPjkx(X*Aj)tm#wWz6#YGhZf6j_EG{Iqlmr~a~
z(K%8ZDxM0N2OACmqxzE}AvNJ6X{uvc0lf2{vTsMKY{q`wTp`E%7LG+8BY=1ztV^>5
z1>G1nco;<O_`XhXhCLMm!CZpq{4FPl%?vIm!`8=rC@5tm%LQ?$WL|lI&B?4v`B5KB
zFVFC!^!)wZus{ibj;^ohJ{EU0w_`|!D+~8dea-O2G?<N{?^aX;y~sZZq6F8odE?Hj
zo~X-EswYC^(=*fiqock7+DW>g;x;Xcz8A-I|BE`Ss~S$^sXRz(F=66K0)7`x4vp*n
zt$~R1`k5vn?^sdL;i<5np(3|yCet@~p$dejSR$?>0Aa9@f<D44Zc#ShmZ!OCelNd7
z>pS+kU0<-LLhjzffwMq_z&zNt9gzezN`--gcEt_*P_y{+pyk%X)sFZDe2o!MrqK%9
zu0eE^KT#!~C`yEZFi$~|rq{R>3hGe+*P}CGGoOG6?E;197G)#5LYeL<fFa96#l3BQ
zvgnkNpp9p0R}=MmjlYFDp#v;coJKwVWgY~cVgCA1YdDLPe@0r$wZ$2-^7;`NlynF}
zw6e#R7YPVzal;$n&oJ9$YIjTSoqVGODFCjUc+f1Q0VVbW0Lhi~(=G|S22$)dCwVXJ
zJ`M6#W}x0t+6Wcrp!~S^d5-w#{@&~E1oE#c-=_>*2SMGAsJGIhzpQ@yVb|GVJGPwA
z#}Xeajl?;PA7ufg(!gvhWf%eE3GHroZ2F<?`mRgY8=z25pVRL>ALWOgtLl}tBX|_q
zxh()bhteVm?blLA5EPPpY4JA(RW1<n440by_vHE2>Hy{f|IOqSC|-jHF{@~(=%uK@
znOYY=mkT#QKK=x?Ro7{W)gl5mBVkY>`~#~+e4yVX%b65FORbgVRx7Z`EXA_L8yuK;
z4^~3~R$|z2_U`ffWc-nK2((r4^G;cV>~KZB+kIdNJ=)>VWqwgoZv_CJ>IIVynXuO(
zAU;)1FON5Ndo(bgN+p;JM+wHISs=x9SQNa`Xog1OBkIx#tpoZ)P6+eIzSPr|wlI)4
zm4hrNhUj;fEfOJj0Y&CbvtSIeQ1y}&HPKAm`HSJF-1Myv1m+FFy5hJKv-HCW0ozn-
zyFLH|DfCgYcx-un&vvc5^A?*RPg!q45dmB9JB4G>s0@4x%#8zqQ!D5<_++VKPJQw9
zIc7gMveR%Ton%^XJzz(Jd7_=%$E)G547DCB8U*#{$uh(2*Rf<_QLU$2V{@PFpA;!)
zvI{*njt2=7(FW2Hc5jPCDD`3G03;%*#8%f*>xfe?9n_5;j<lu%cLOqVI5`0JHo#cV
z)~QDj#Fv3l8&#Ss6sx`r4Tl~AN3<nFz3Uc%Mas_ckrcaO?RM(b6*E_|yeuF9$adPc
zuf=jsb%0AFfIVe`Oo1{gy&;JKN8A>mOnt78y46H}Xch3^A8X{9N(K;$nW!))ZF%V!
z#P!Z}+TtdfX9mn%_(YRPdypNRD|rE6>9ygldR8xG_)q1?{ZpOn%HlrAcX2r`3L~xj
z*c!6}AoO7}qixm~&>3d@V^u{QrSI1#U*)7_3r5^>EW*iOkh0L(N}LK!($epIkOjV_
zhZpI(9VdM+UT8l<$kXBToVIT-v~@Ft>hevx5tU*uz+5?{CAs&RkRCb6wH$Z&*Ipm@
zQ}P)HT+-gn14|apOV_PunNj?le?NqcPV%JX_U3@KVHal>r-T}K5Kg%~fYCu(NA70T
z6-#vQ0q;DZQJ;;Mn3U!8G&)x=%LE$VGevWCdyyxj8*nj5%<q(kxnUHUdiKZMR&r;3
z0(12f6a>k5p5bv2qvf>=QGTfb#n7Diw>^4vHCGg@Xe-jgRH~`etY3u=8gr1!y5R2x
zLyA-}A`u4+m0Dglpyk*04P4vx;(bneu0Y0yNyy%sPITE_nt(1JRXN~@U)2oQ5<v~J
zOB^B5zz-Mbf}$O!4;BF;7AH~hh=x*>t@m!7);-t*HTpf^5>$N^8je65b4EdZqC3k%
zQ{HnYS>0P|=YAD~fHueskFkOhpD!F9nk?-TE9#Ly&gfX+Vdu%^2GC3yxvK4LFc(9%
zV-9Q~XB5Di_7Mi})P_1i;65QlLD*u~he4=h){Bh-e2TjFXV-gEjJ-Er0L%LYxcZ@=
zUW;C9amZNwc|a8*p^r7zPT%9DOvER5-|zZi<^kmUsTw!a1*ocB){<5xw<i<&xNuOI
zZ-CZ>b1q3w2FwsO;=v{vq6$2*0Ho0&vkzdS1}M<-TmkR1y5llqk)Aa4vxi<arxy64
zQoaY?A#mQg7M_+Z`JKd(Vv6Bj-~F<dvJ(i1148=@E1{>f$MEC{l4b)4Q=sv{iVysJ
zP-6Z@x5yBQ7S37_A)fVG<v4fUAute6tzc`uXv4h!ncHQ(2QdDt`t4f^DS#I)SOYc)
zQZ1U4hN1Gt<35l+z4Vy10o=lz0w78E>%Nh>4sh&#^G|@Y@b40_(`gy7seC5hJuX4+
ziYHYHHruW0;_yhPL>J{{C89gTeWu#VQSI~ywV)kKDAu(^noe;PPmYE$<#iw#8X_B#
z;LVy0^=s~U&gML9S#2t!Zv&YjrR#w-QWDxOXC&>zz)G$G6KMbnxiJK6tj5j4zAB*<
z6_Gk+1~V<spR+=bMORr}I#BNb5rr{u_+U8<L4fH|B!R+)YZiTWfSDxluR>HGjfGt?
zk4cCXCpOdm=1{PaGCq`paFQBh_RBw$K7z!h2e`K3-j$ws*)j8YLJlN}8bH%ceRy&X
zYDsdcF7FZ)NyLmnQVgswPOA=pz{K`NIsUgxAP@qR=ep-&O8m1^s1zegkzIaOb-5+J
zQRHg(6KP}YRETCCjToxuqBp%?1@L4=@L~`*D39Z+@~_;SFVQdG4M197@?7$_j<4(e
z1T6Zay{h(+E$8!J*O^>at4#>W2_k3Hu3tq^rS6C*!V|*_{=Md_eLJ-M`W@C2sm~yh
z;T~j$ikXu*Hm!s|aH^Gy5On*luKnc~jYjzP_0wvHg)Ef!Xv-i$gS5B>6}^@$qoOdh
zL}6;rt(A$vUyM(B!QN6^nT&CtAJg1|cFvia>C)K$5cnOR@03f_zvgU;LHgQ*Va;?s
zO3%cRO2GzDODjU+XI8nqM7gAMrGhFbgC$DsT}*fCP5o)i(-HA65-upDtEX>^bA$6T
zlzVVfQ;+RFDM)F0g$DA#`j(UC99u+Cnas#Ruy+8Nc6iUDuAly+bh56*uak_Le4Ncc
zB4{H@_9}llNqgeJG4@u!`k|shfOcRFpiSs-x6vj-Fxu*bJoo*8$R{7A^A0|hJc4Lz
zF(KvAN>UMx2G=E`&&5iF%_We%@WeF&_8IW4V)(+rr}>B+)fZbUUhne{&gjwZ^#jtN
zEBLq}ygo}@t03cUdt(4Wznkf0LGp|1_n-1Tk%GNKp4y#-E3Cs>&_CmGD3;Z2634T`
zLVGN`RA`PB;+{-fwr!3)nNEO9W1uWZ(pI5w#r5hv58_|saL;m<ZRvluBkEJ?feJn2
zlKka*^<xM1gLGk+>Vs;cha9I?iSh?{tD?cimB<krP?>$ewTBKBEU&L(GH+Q+jrils
zVyZ%=?xDSs-7sPQ;uc=B19-j2Xjq>^5N9ZvGJ7FxA2}WQBr;`lvyzsbL!iifZ?@VS
zrG-z;TiQ^aC$nn}*Z59qpYZXBCzema4~lt4dnBP}W@D9$C&Y+)1Jp*M=Crqq@~mLN
zzgewCW`>&(>Gj^`C%rJJ2rQ+krT)g$6e6qLC8|inRPmt&fbkv-Y9>;vOxbj_kq#$h
zVp1Uw8rAGfAu%rgPp12nLkzscY!uDh$#|r)t(pa&SzqdJ*>Jspr!)^yBEzD3C+38Z
zf)XzDe7F<}Y1*;+Ti9iFzYl>l19?Q6hDvP_h{4b)WMhX9MLFyF{4x`JcO6FzOd+y6
zz2Ue`o2iVN*7#ws%FF$(Arn$|WC0f|{Mz}SJI=zU7+r8gXk8=lOqI_EV~)L^1&OhK
z<i~{Opfs6*J$vzE<s3upuCe!lT#hN&OuCrXBwjKzy$1xd>aC%gl1u(#3Pn^{wXxC0
zQjS83-x!gi&DZzaj<CP(5BDgR5@L?`^-W83i?$`gn3&>Tw)H6*JcHLWbKZ2G-PgyW
zR074{a3!b%GDH-?q|naCiaH)c3<>sDE>t5WDl_~ZcZ*<#VJ!Aeo<vBbV{pbAUlD-E
zD4iW7$c%hg;<Z()--f!f;$sUR?&Vd9ry%Z5k5A7RvRcfkw8;7gFPqg2dKe$Qkh~%W
z@jMX+sTQG)6Bc+;T}Y_()`2c;;q*|!MoWHN+NgLr%8h3vW@YK4lYUnb3XBcL?Ztxm
zLgov@^W`8^AKS}-WNY-G*j1thbW}7&JH0#ea^m=|o>P(8_m_1;P_aLwKA7=5P9XK{
zs7RRZFgwj}OhW1!ge=-H((N7IDyz=lHSFO&PV!WJQR#Swg(ewQmc&v!g>LEh2=+v{
zZHb%~MVoi6C1EZR&DpUrI2IW?CbymcRlFp#D=B>U17-Dmrff^bx5MCw7-Y5w&ONjb
z?~zO=buNBkU;$i}5X9*#5*9BmoiZfFw4UomSvEP+bd*kv;Vc;Qq+ik!8m+)FurY2w
zUt3|b^rZhhMS2AU)Qq|8;ZMnv?-2k?Jij2rUCCLz){hb6ZGZw8agSKG60fLNs3BFW
z*rQR2$Cp=Q!ADfV)@6nbX$f73ktnB0o=Vk-p$XPZlp7^n96K3lCa=^VeO{9l9VPAr
zHA?{YAVGl;-B&~F8yrSQibk?(ClC;3h4o8!u_v6<&@Mx^FN@+}BuaeTu;;hi6Ytlu
zEf|X!w_LS4cM#-Us8*c)aAMSsxqb+D(njK|n~xIzk}?>_NDtFCb?U}X*vEau6hXOE
z0BEb<i8&-l7iB%2C`O^og?)LI9%ZffBQoZ9e&Q^3bLZ@1cNAKxWul6~{g&GR^6s_<
z7@xG2)GntT{~G~}`$C!w)b+j6a-vP~@4BA9Y8%!zs!+Lf8P+o;tJL*&f5T6oKa|Qk
z7Lg$e%KcA;{S4YE8w#n+QAb|R*wJSeU3RWi;adzOz!r^BN!=3J6y1{XPfHS^kq7HK
z@?36KtR)+jE_RvEU2@7(2KuL9i_xhO%Uw9k-R_w^a%OGuLVELGaW$0td`Tb2sXYwZ
zH-$ycao+V*;$U2!c+n;*!?6}zqzu3)IvJwmq$?}^CHEj(Jfm4aEWcUVT5_)h({gcT
zMnpyJ*)->^ONYO>ScDH|2wQpv5LViUdWTHrsdFC%L~)xt>QSsiJy}}q>=>T*ahVp7
zN`$EYNIEpSZkHX)NhqRjBf!;2ZfEs+gsYw|Zr$PAK555h8Q7Y?ENu?u9LzDnMvl??
z*|X0o{37?UHdx$X8H9YfJQA!E+DwyD$#@LHqf1$9`nN9*5)MVrf90`T1Y|=JRWUu<
z?z_&Q@;!u&eh1k(Ju%*qLM=njFa4wOtC+Q$iM3&xXl3*kkb}8NC}SgKxrFAJrRqj}
zJctU}yyBzpy?E2FjHK#8b{Wq?-B{MJFBp6b6^o2ah-4uoODE6E=f3fF)N7p&+@Ykc
z`xTLq)Uh8V_bB$cM!XnqdBm-UZ>|qeDncN>qFE^;@+bvoPNLxt@j`qm`>P1J*l{vg
zD`ISfg)|2}n1GB}R%;KijfdnklsYN&s8rgN5&V1OZ#9qgFMo}DrjRJ22V3I|evk}9
z4}Heh{1|0+z01ttbEN*kP4)4w)r){1{Ib1{MD_O{jD;AB>oSVjTR%$9-aICK6lYvN
zkn<chc93AAP~bCW_PQAUd!{FXpT~Fc1|g-SX?vu%UglZ2-jTec8R74>-b!Lz7aosv
z5Xyb&mD6waz|<>!{2o8SPL7`-tLts&t#E?ZObii}d{^adFpS9Xt@rk<klETf#e_z$
zE5qXsEh9*6NMOYo#a);~V(zCQ!G5E(L6zi+DWf&|dsh+xE{|jDs*0q;NOV$gGcfyl
zMDcyGoW1Qnb)c!ePBh~a_1rfgu0a<F-o>#QnqPfzh)^xW-%YBp`yqR}Ia0(9>HY&T
zD%`k8?&Fy&+l`yfqnquSW;<nU{Hg0`??U1kQ$;)+z?lgctNeP<)SXs`jxQ1Zp4{VE
zEQDQVzpJxe#QWHs3-5phBkFF1@P?(Xs)(yw7U}CI+@3kuN;lfWsF_v3OIP7d&Qa8C
zIaz11_~I<dIbI%)ZEbOmosg{lM4x_s;i?5Mf_lMPyV}IefYui-()ip>*UIAYIMrlx
z)|Q#Qhc$yr!?BJ75qTdF({YiuOU+F--4E9fVObnzcUhdCoLjx}59h)OtJqT~2w_7P
zsB(s=eXcaXw#*9q`LTjr)Q`Vlf?>V(Ap2tjVICm@O{_AWi}b5yehg>7Z(m=j2@z&3
zKUvgUx0xl#quys`cXEZ@6_==NYS9k8`q;t`N)8q0-3*^!0*86b6h25AQMRsw+Bx}H
zH2_|Y?DAO&M0!!xoyLLdv^Zl8g{eW*%XyQYYyCprW5LLvCoHI24EJ>yaH@k?0VRR#
z##R%};M53Hd1G+>xSh!0#Iqg){Z@i(Pdogcu=`BfPEl`cCaXPlEt!#7H8j2?gbGI(
zJW-63gP=$wIEOBT@A0wKQYR-y^Itpp6C^;Y;<xTP_i5t(z^A3+;OnWXaYWVV8M!k^
z97b|RJI6dVx(k%d!fhy81(HM72T)DSyLEU@!K?&p={;8=rU5(`naiCYH8ze_FR;d`
zEY<d};2XfHJK<a>A(~eoB4!2ktQGaazYzSgY0xEY)(=Izw6KIc9o{A^kE;tpr)jJj
z&E_3US`(QfnL}-xQdd6d@y(r`gLNj)Z-~30eLg1lKTT?S!tlA!+I4lC^FsmBM6iZd
zk1NBh#iIjBiWtbUTf9C@HaPQ+>$^JU2Onq*pWbQXmm(guSyQ4|9hQDHzz@;D3?os7
z(9(MPcpuz7!NQrKE2f9}AJRB}ny*xm;nXnE=fXo2Y;?EJy2rv9Jz~m7Z*p=XvT`F4
zB}7m@(+zC<s`Ka<;pOa?53ZX7ncrUvq&!U@)sZE~K!%se%}B>G?|5S5Ba4#=`C>mY
zNF$Qgp!}Ne)(m||jY1-x2Uz_>?9%CrEH08@ORw^#%_>egg#n&A*|BgO7-wHxrN{1J
zE(N-Pf$cIMl=`7hwn{-FR~qdY3|(MAeRm>1W7;nTh5a+KW*b%De&*HOt{g2oVNlyl
z!2Lt24TonLp-AD00}F)7RV3%9YEYRwxl(x42y%cai2F92NGbI(Y2`h!fkx0068-61
zwQcvxjpQRO8bpJH&_E1`6A9|77pNv=fAPYOq`<}OtXf<Dj$M}4Xcw=LT9VjKV$MLf
z(KL8hr$@rdL@D%Yh49TvM>EIoP+NahT+)J^Q`*sjJLScv!ESU`yV8yI)wf!0SJS2R
z8`MS%Yx3*;Z~i;)`>2<A#1@MVN%ZU8-X4)iHc@_xCm?wP*o{L<=+xON6YeiLkoSvX
zZF4+?llJJ|^grDV(lez+vmyx<#817kW|AwS(Si1=6-Cxg!|0ggn6mJ1?L#o2WQkDT
z1hb^HFmr{{CVf+fP`t<ZgY;*33i|W(bVj?=eMhXri<)L`%J{ho;T*SQYJ*S{gDfbw
zvO9uW@k%T1h-{rwZ)jzLDf2cEm<F*!Gx!|Ig54%d^)T?6bw63&t6*&VUcLOYRp>L2
zs2K2g_fSSGbI#Q|uLWlp(52#n%CakxZFro^w{?(@ekJ84F<H@~zWpkV7eXeH%xO2H
z^D>1)H|^!U=(z?@N55_7vh#aFdkMpC!Sq1(pA#ceS7Ek2{<cbu1oy#LfxWcH@Uu8m
z&<uX()t)5ksWQVD3X#)csk+`^!#C&58Xl-Q9qsfDq;JOcKg)J1JjWvkaw<l-t2*@8
zpllmz^_en9lQ<cj;6Cuc4lH~P_8H_6s<l)lYOh4~ieEI(;MgQXI}BEq`#smGYvi2d
zNl09{$>izN)i59M#y<5W2{p~mEsP&81(?c&s+BjHBHbXsxtBH_%1o70_Nnt*rO+%%
zT=cXWD0dQ6?9@?7`wZ@~>IGG&SuE%V<>MZ^k@+1;c+4F>R9>HtNwkgb-G%U2nRP}8
z&rmFE$cxUF*}Qs^JoC~_1l9YnCINmVghCBQ(LpyQCdoQdA12Fjg7>~E;@-zlo;{#t
z^t_HG7Zcs{(5hI54R4X_q-FTJa4h3&5nK|^X1M+A7WW5qk24H%*JppOajPg>vfY>z
zUMe+2QUB;{57!ATfttte=h8`2*m6M;ol2HdFa63&ZG-UVK$lQZEK~JE&C4)2>tRxk
z?j7jl+&d0w)I*wVvwTPi_){{<Kz!WjDB}hOOY8T*Ah_Dlu*pRYhzEz+zm~_p?vD*<
zVjnN)3|$4fa)I>`{vpn~#1L3`I2!A_ucBAXiYi$7K#Mn%|Koi;V3B%A5dAouxmSNV
z8=hqdWH45%w*>fO=~r8itb&6DkxikDZ;G^P51~Lzw92zli_Ldfc?bKIDW@yoC(CX)
z&8El-di6h2l`8FOZh&-onHh=XeC3%QX6;b?$3WC@SzLFzGPyg#aw;q$z$VAqS!}EM
zH3EPnJk*Y%rjVe&N_`r|mc#4t>15|7P}hY9u0isY)}#e0+)2o-5V5hzRSHN&jyiCE
zcX1Ei1p<rh<3n;P>ybc2<jP6Y=zDeToC14fLT88WnU<KlJ$eK=ai$TkNx+^Xk$wu4
zaPufT%dKtXj|}vPhuC$IkW$0P(tUafKwpIhjFRQJ1YF55ZgBMILDSI`9r1>d?;el!
za2}}W(-5QaVXNc{3yf%Hx0v_h%&x!wJV?Z4sVvUtM{*bFXK<g4&=i<vo(8Oh5yTVo
z^zo5_LjjVl5-5i~*FbDo@3w{0I~~g`b9w`+)I)uvPKjHSA08ylnbCUlH@zp|1AKC<
zo#BP!y2q>eFcLLUj<bfEc^3>xlb%G%;v5(B*oVE|1goA#fT-+!P^AV=jhM8JXC_1%
zX1|i9S|1ZzgyBHpCpxU+8Z#9^9b}mTiLL1rr{+qUhn-p}zYeNmWnp8z{1M75XT9*2
z`uz9v;%fENpUaQCYsBT5c18o$=d4A#VHwaIf#VLXSm`WJx}NeM4%vfh-{YN$_XONA
z%1HSp5~3@ixTdeVuyW0Eq1t}08xz<E0dF~YD)UMAvD4DZ7C<c?;0Rac6*<4tGDxIV
zys5&o7VC76LHR#nd)s3&EU>*a$rJz2VZw=gN$R#BN~QPOANmkTQs3D9NO}WTFz{c%
zhs*E(HoZ}tf-^dW;QP8;;z8pHmS^g>su-LHRs`|QiKeo$&yP9@KDN6K2^0e=94M>I
zJmZUSje70~^r&NXbcn|7t!CMl!H>M~JAU`?kclU8k)({?cu6oNaEwQcIvD0Zl)=%C
zS0p#|(8ZX@0`Lx~tQ;}X7M!_oUX$l|NYduF0R=`v=NC45S`AX(SnDRe$zKTSkYo^#
zpf;9~3(xn;OkzQ?w9dJu+WEB<zqdtRR!F-B1eJ4DHn@|n%v*5bg?^WS>n4y*djQIn
z3DBK<QIsG2)Xcio6oikCk_3Ti?`fI_uLeC+4J@c@1YF;=Q6V{Ptsywh5$PzmhPRn#
z4G5q*U6Ni%!vbI?pa0yVpOf!FGi~Wj5iuW_cnOt94gx1GfWVb0F1oH{HH%q>7@JfO
zPp=+uy&!-6X4<#Ns|QJI&n|RJq6Q?PxiLcg`1pq>e3kpRd()KzKX#^45VM&<fw1gU
zX!j#>pOR$iRe1XKTb9`5O0(|xMe0}93P8dCR5MVoT)!H9X%HM(!;Mz31ck~$>LKhS
zh%FB@ZiPHu>69?~t$)pehgn?PfsP1VgieCU+*UhD=s?h@y{}kLr}U+}=MmS(d6oI9
zM!-Nnh$u1ee0_Fu=XZq*oy8EYL55EyOFz7*(+fY>bR^voI#@vyyQO33{=(6#_mvOE
z5+F|1Zm&2qQSw7YvrfTDs<|3R>?s-vHuG6I1WEOc!Q19q!gOkWP!ueznPDGuBh9Dd
z8OVIc29~rkEYP+xl~kw_?;E+tkD08(Ss2ovg`G5|RcFGL5puduAZWpBZ9w*)q4m+i
z482<}<&!AL1=(ssS6D<nc6F^8Xo=_rWe82?i=CanK;rf0!*e<UhqkDc*S$PU@eja(
z0$|t=wMxX9>2vtEX1Pa!<iqY1>|n}dSi>by{BsJwA@j6D<jQmpHOfaseQOFYxW*$?
zx{VabV75!>^_3*P;g^uPa>czQwn0duY%Q-fN}^~5y7lrcyoWX|uHbALJUvwrjp!S(
zZoBo${4N9ZH*~njf=^az)%KWyVvuR}`fSco1&dfAhj~Qh7^X&Qi%%b+DQZ58D+&DD
zYoUVDB%8h6(@55oPtrxz@{5Irh4MwEs$t>*l&#u{DmI~JLl}B}X#GwU(S8DLnMFQm
z@vXPluKJ(zr86Ley@Zwt75=2o9WZc8(hwZDY)rUNTqcjwSp^huOmD5*)@bc)UQfr|
zT~@;Lw>3Tm+|M+$@~dQpsW%;>R~||e9O`FFiJ~Ut<y%XwG)wbyqK@M7WRLj~OfnSX
zYOP69EWyO7OhTQ%>_TmCBAHmE(%z61b{OGhExi-!PdYH(4JK+C${-kcRKx|_N#FW_
zSslERNwV6Si4qIUQ*d9?@rSfc0Gi#W&zQx}2M{T;rA)s)H>M%EJUWb5fp70nadDJY
z#r{MKMyY#orguYSI-}7+N`OD%az+0j-Qp*P%sJ6QpfhHi17ut8Z;_!qE-+W_Ag0)7
z(+<<RLPF`f7^$D6CR+azq(BhK0n8B<kKQS~0+QPK579e9`7?hVGwOk7p?XN1V%f0%
zfv@gkB>;H-W{TDk!57{i<?9|4tTCsIi5>S3ENs8GfDaRXhX7EsaupxeFV?OxYX)SN
zJrCj*{p-6Z;MkR8Rbaxfe&%4ANxZ+hlnwzUUhZ0<(f7JV)EN0De@I(_fI=7qKcJ}9
z%t-p(8Dr@i@Zx{;=7b590p0jC^D6*3Y@`$IPf0WZ@bY^UJ#a1hj5OE5tV@ao)&pL<
zi^G*b8@)|%UIs4K+9Yix{`eQ|WhyJq{3%1{R?K1XhRgrw>Fuxc7NFnT8OY?)DL3*5
zconW2TWs`}Y0}E_%co{H?T7?b;&(0^eFg!8LN+ew{-asOs!&2fH*0WwV5V$t@&FX8
zT;K(g?7~ne1U2XbTvy@b^N39p<$@)O<QmlD1HdIvyZPj3HxdA^X#>}ZSgf4M8M_X5
z%O(+|pj?VPh3Wm2wN#@=Q`>We`Vdrdjon6MfPzuv$GGN`D(i|dRUv<%+XXRd5tLPV
z!6}4VNl=?^BY)g{8kyG`G#94SR=P*)@*Vy(p!L@(QO^g$I(R`3CjcB|%jR=5Y6%d@
z6d=t7b~<MB?r0fEONdC`BQb9kbv6R$a{WDx)sQ%#7h~RbyaXoN$=v#5GId_+DbS2I
z`JQ*ltb;?)fhv+5MAQehk%=Mb+aT}t1)0&pgId{jRwTQA5au7%Zt^YpX*T<LM{a_E
z+uO_2=|%us;zES}^}7J#m<3S^bc$v8&Le$2B-FHl@DncJ1W_Mm1{=Ep<tfxpp(rOP
zi~>Ma0rUg{MOs5#2D*hgYL7^zBU*t-{Q;lD^?t)aL7Or+dTJKjWvm0O#H$izj&BWx
z!me`Zz2}J0QE#_Fkmp;91C<}Fd}5@2H!FeY%U5l0>y*;B#$7^12>IMI^8%y3Rra%T
z;h#L4cqb#t(QbtKL&pyS*KpPj)8=Q02OD!*I5Zx0t%k^Psgfg(XQmstpy9h_EgMD;
zoaSo{4!|KO*EMI!UT`kvb0^`}&tSeWH<RAK19n(q)FgQ9432*nzY6dvt5=vU!>~<t
z3-rn8hCG$!2hzMtRAy(a?-Bgip@OdIh8~O+P8Ii^<h(aiSyRe`9$SSM^}N>fOe>uJ
z1<QF^?v^>kszQkDs-51u4%d`|A~9LZuM!4JLX14oXu=?1N)4duCxP&^MoOU%m9dl)
zC~=;SXTlHF<7NI-l#Xou3_JT!_9+;_x4UXC$fELg=yh0C1J)y$r*aObCMlU%uLQ9U
z5xltco%4L!EFsV=Z~b_q9~qzZo#}Op)ls1LyU{LG_wWh-4;H_UfG%9W(Tn5223vWR
z`{XghG5&F`1y0_V+FZOjNw}O5ex@6o0GFUhsdG&gO4-Jm+_)MB8bA;ybry55%HqSd
z5+UmiBy`qzzO$H}jLKMZF(ErbK#*7^N9&x$>-NqX8o6jX#9IZnrm_Ez$Ggci-sb48
z)~xrExq(~}$3OpU)|M^aqYI0%iNy4gYBn!RQ@yk8Jwo=ti~5{|%dO&9;tFhRNZ?>!
zVJAJSPahr<D@AJ)G7vOav?ftddIE{+bQ>fMUVV0ILjz}9NYa@v&`W`c2FL_YEG%!R
zS6oID+x1B9-X1%3R6US3fO0%^bw=+$MK5TRSIQ~6X?oOo8-s952y2E{>OXxI&CYlF
z6yr#!KsJ*cida~7L&z@S7Xh!sdYh2!p|PhmDjyaDf!Z+GO5d4Yb@ixV*fjv@OCA_g
z=Tx4k4-A1kUOVsThh<Tgs&Cw*J^76oC?fMRKRIe9zh79M8IyMD;e8{ZrZLuF?W3xs
zGrjlXMGZm{Kd3%OLYvzGrGb%8a4_y?(<8{?<Clpjh7)tT9D)tU<H%`jL#AIk8J8Z%
z?si5cTapq4MY?CoE07!{s#lb+CxC*!X1P%l&;%`NU4xTISU^XY^YW|UPH7khL2@tF
z?&}m)s)%Hx59{}J3=sL?IcE(;<6#@dcV@IyDWM$ev-lN|Ul`T9G3t=w;1C7N3t3~-
z3L!$_XO`+kH#5wJ#BTjgQODbcB$;t$x4@CVn`EhVn7*Yv(8hq@Ng(JCWC;!pd%TVW
zHpMg5Tu=G1!;3}Umg=C8tM^H_C;gy&D?zy|gJ4Jp7|S=$Q&-x0r;#_|D16lBaQTY}
z@E0?m=sh7bXGvOs6N70G+r{&(+*e=6eGGf2cx7h{GE6;99Ek|%8jsVmxC_6p8#rA+
zr3F_Y)Q-NOrt1-RU_T}<;@?!pQlZ4O3BBRHM<wQ1w}Jm1BEW9uLd^4QyvEU3U!0|n
zZ~%c$HAh}%v;qm=c@}`&**buFC?hYr^6<WozKMC8G1>qtrnA;pydU%KV~33fi)R`L
z-oD{Ey}aDo={8-^^AT|9Qk8~%ng$1-p8?IbWBZHIt8?%>5VA;^DZ&+38|9VFgs3y9
zvIE*EsC8{};+Qe3fgBm^{0J5)Q(&vF2LM&8a;2`|_G;c+J{V)kW69r>@Z(ClJOg^l
z30U*w8SqOQxQ6&c+Qx%B3!rcC&uLxAIYKySCeBP{9mMXcLDM9`Nd_lGelao$MY@M6
zXT-G6)GsAlV_Lxh*EUZ~jkUqkH~Gm75vy6o6uPqS@>HbJLE<^1GgWoae~QKsN$Q8C
zV@b13ogm!i1r9xN+D<Z?6ZpZ7EJE3RUC3a|t{__z-FoJh*<<dp34Bu%&=c7w0L=?>
zHFR9wYn@Al<0Xg|DI=rlbu%$0g_HKvA1U2|=t99;^9CsYM8Mk0U!gFI=2e}{+LnJX
zY9hAz+PXRPQVDBc>hsbvn%&JK^SePzdHgR}xgZ%bkLgSe>5ynA2uv|3-3NK5c0sIk
zQhfKxFc%!Bcb_usHo6948H?<g@eqnifz1Nms%#Vka}5<a=}4L&2NytGRyp-C7Jp2U
z-Qod)c+J*xEUArmH6SNA0Ozcv6$@BeJ6Zr;kvIbcX6Vm>sH;aC%l6ZhmE#RKivdnj
zpi(Jukof~az`Thj;5kb2w`QjTh{;#F!7#tvOWmCykm!3K3zR>ICHFn-S<_D6Q8t-9
z<?Gk%qX=%iq#LA*W)rA<541SDX5O7?QG-Wl459b$dgh2O`RuTKE>Bd76=R?{y70UC
zF-4hLf@V@s)xP*ZLl1y@V82gH!0zu?oqONU-82T7Rjhg)djdR?nOVa48zDk^$WuDW
z557YJ-#V~f<me(QS(9-W5=Q0~TYGQ8yj2xW$ZC?LGp|`&_1^R-hbHhDua3urkA8vm
zh^6&Lkr#Cjz3?=%=UdEV7jSv%+xY2+@&Cird&g7#zw!U*;26o?d#~(lvgfhO&feK0
zl(P3;*|IXCAw))Ywnzy{c9Co%((gKb-oNkn`@Xro|2m!5d9CO38jr{QYII2t)~aAM
z$_?2`)Dd0&xXLb7>A^u2i%X(8sQ%+yiXO$sS-mOwKl@7lFF#e`zv4CBfZaU4f0*#y
z=cf1Qjwfbh7w9$;jCWwMdAoV}Qy)%5;S$3GO(Hdit*h=aD?QPRb`pu>UJxDaJ`I}`
zx5NGb;!GQJwK$R^95p0%AN$x6i+>@!c+WQ&u-r&}9`m8nt9-7Q`DIh362BIrm?HQ<
z;~T##))eHn_GBX>kZsc*n?DsQTYa_+hvn`k27EKTXgS3qE!KEF>eb}iiwq=BF1^L3
zb8#?^*{Ib+JCzJ&qOx&z57hM*+@;4+dhD?RduNJjXAuwnfTbwce5TI6rrWJIn0DNi
zb91sF_5AT|@n3zdqVF$@Yho_=OjVd|Ne20$Jt!K|xxUoAYIpE8YSyC-&~ZLLmcBsJ
zhwtBFt}vy9L{{$+1+wFIFt<uuyw9;=O4PwgW-}>d8z2rGq@k{=S2@G~oLY~CkEdDX
zLiQRLb0jt0KKJ&7C8Kv2<_XqpD`&c8>u>nTpy~Wq+m9#D?bDryk+vZM@h9Oz5?JjJ
zU1f1`;~EKx|At%7=At0u|2-^+D}z!AMd2WF{_*&66okmnn7cXyjje+0E4~o5DxAln
z0xZ3SzRpy(r@C`uhh5RBkW+O1UOB0wbip0}KD|idqbsq+tEbvnCO-QH!ev|~3`RJ$
z&CN+iBPx9bA+le6p7$N$ifdBPR;>YoWiM+&BcvkG>coz<yuQH*XFHKv^=nsgL8|2B
zy|$9uI|GXwjeIyeWkOm`+brzW1S<t;)(yx9Dpbv?Z_19bPkUW6Qrio7298FODD=M*
z)W2eTQ=Mp>-8$2B8i$B{rzjB|d%)tQ(*O(3A=Wy{=#^hund@Ip9F;;fd$G`doP1Sk
zR+c?~*31JrwV?MoH7?t~Su;i63Qlp^)byKi#Ap%Y;k?E4Yq|Em1*FTeS{vD~<1}j8
z+6Cx|Ys32YY4I=1b09=o2MUX4PRjWE6bS#=(G7RXWh_S!2<&bUJ*6Ktj!;fHba{GJ
ztj%?b(}80_HAo@firB4%>|>qT)F+<a%GUb8-fJ})R|$W-vGcjE#JZ6~wstPKm-1#Q
zO_`{a{RU}qf;FeSawY4_RDmZqYV71`Z&fnT<*hgO$?9y#{Y>CF%D7`|xpC^+9nANW
za@klcA))2CrDbi%p_J#H76-4s-J2Et9LWb1gX)N$*F>MWN-z>4<>Lf<ubm>V_1Sq6
zy*gkTQ{A)@BGWYS%4>0T5FFN!mHcV+A?@%8Uc%+=_{VV}jRm<!9Yh%QSPv(aay$qP
zF2;O#b;#@cj@Psu1Xx2ZJN>a=h&TGhGWMIcrh65MC^Pmc=!!-f_HSsUP})r|Jt_=5
z?w0h=d^DIR=V|2XKq@z`E$oVU8j&}oy<$UMPo9~fkE<-K$!0i<z^%xwq=Eyw?&6l+
zAJuf&S7LtO_BeNS@tY?PClgI>p!;7Vt{lM>0wJB9bj~C@Fp~$o`n_rre(dvZUp($B
zMThqwo*cr3*rxwXtoINtS|U@5Nv>{%rx^$HQ5Y+kD~L*%(w$=LGL8*UzNDHaj2xjX
ztsUf<J=Nk*6~qIinl>KiI=sa<RlCi@iJi7oV~CnENehghV&<+%B92Q`$mh@e+q%$k
zZ$&kViCtF}iEaLk;WPgFmThm0?NOJjoM%pO5gtdhIg}0v*-~0pMvL1vh^L6k4e$PJ
zD6L>U=GnQb&MDe~vogJZEpCtCIR2C{09*YczV;Uw9R{9OqtyygVN{r-dmy{tUw4og
zlM2i#+GyhO$!GL@!huj=W_TF?5lpBp8(o4c5y(%gJipWoMLfgX$Js?ls@U){3ZD+D
z#80$9Ff3JocS}3<_Of}x6lwCwTr9Tlo$O17kZ!VRA@!tu9G{meOO0&}_I2Wa4Q)3_
z#z{}x2fl@Za=d7*u+>@q8r#KLR;gnM*Y4gxK~LdC>d#5?b?-~jr^Sn#i$6$S4eJr<
zxe^DOPUU#Srkz+FyB7n>L^2V>+9}He)7m>fjDtr_pTOC<=zUjO?O<)zliVJhXQX_-
zcNpc61d8(mqyz($X_CqPDq#5}#yU@|{Jl)iY9Ojr7tNcJ!9mG4hsCeA|Jv^<whCnc
zkD?lL;#;#~UJm1mQRs0eNp$S}`6kIFRT!-FI?i4hOdD~BLuNtp@5$v2gH&u+#3OC*
zg}r$w*37h*6?9Z+<JcU=lk6Qx|BXF-huqUpmLsX5#&KcHvD9B>ho1Rbp3l8L?d&@x
zsq|gWLhD`O&FXd=_UiURE@K<WM<(2Ycu5z9hjxwMbvkYh=u9>F)FqvXX>iKn@KlPR
zd#Vm6kH?lZ_RDI*{;q@HPI#F-K0&CPCTkYEj?agdzBVjvz28JTaugqn=WiS-C>-;d
z?;m)Sv#&*x3-pL6QYZPSmQ>{2#;I}XW367kmKcL!=wixguw0`XB+FQ@pf9&9$6=Qz
ztLmYtsgzf;qSC3c$fd#iJFJDDOg$iu?V(`nBKCduE$ey4NtNXdy^+E<V4!A-)zs`2
z@kl+4$cRB%f#Nsf%YLs-Lb|eoQ{}-<uY*_Kh>TNu-6c6PEGY#j+;Hee{w=WB(d*+8
ze6>x#Mi}v`kB5(x_*+=Np}8H!_-(|+PWbmwGsO~#GAvuy%Z6Eht+alRe@E1q$~uNs
z_YK*Rul%LNQrCReoz!8%7EBPO$4Xn>F;4fGd97pNSCstmGm;zc#p6scIu1yh@A9vw
z$sQ(#B++$UksoHp6YL`R%T@O+ckXpUeD!#}9H|nMz1*`77jk{n9OeuoUUrXMfD=2X
zC4m73UXq)yP#>Mbs5<x$%ap>tQ=V@Mt?|EcuCJL1cdXxQ(MiX<o%HilP9*bDyb($u
z3-2OB@^VTxP;?>{hWW`n9{#BpB!T#?WLbQWRGZQkvmsVj-p4<WbCF(zTyr>p3XveX
zq?BpWsOOX3_miO~RxPt&4K-m;Pk-53MH8=A`HKdM*eKdU%;Q!;mtsT<7r$Ke*q6QI
zbRC7z*Y#vI$=wViA3(W`5UijS4;((Zt8#CcD)IpoDhMw<fH2WRhEq{KT?<8fNsf){
zr(Dkt-}6+Zk|5&6na7jV!j26_0jqKuw#?M&PJ=_F_Xgg5KJjBKnW1P%UE}aEm;Ec5
z@5+v>7!_foarC(ZI|P*t^@E}0pS#-1myJ{-O~<H<Ub972_anp}OOL0}Umv)Zd0-J`
z&H0Ms;qAr`ExyadG@s=i_8=vQu_L9<wqJQMG$WFxz4fK=W|^RW^6n>zg`h|yJ9r@+
z^sFr_q9(XjeYe(pRc@`#$+4=gJV_1Qfoit>y&EaS+`5QeE}rrDfug2KPug2f^H`i@
zZYh|E2l20Q)V=$7EIf@QG@s6>lUCK|a;qcR6`9vW*Q2-zJR75nOzmAV6u%o-A|y8=
z6r!w^Fr~IK82c+6U!8!x{Lw}Paq-rd*>19SXd|i?D9;nihj3q!*%AU}${|YAjmA%k
zsk9=9vzwtUa7Q<Z7stK~mwGLnM^8bfZWSy^@-GWAsE4JL#xcuV<XCH1CJ;-?pOY=H
zn;3%@F}+gzzEqg;pHbubJbGC!a(~Zrz{&4_j6HUxFwu2WcVb7&k3J(;o2hGc%X&2T
zIdn6_%GH&aDZ{gNF1pJSu1)3o*cTkEztD+N^B$eemFY;$!ojS#xnCr9$4%E`AY+7-
z?;%nUU#T&^TIi{a>`fuJ2CI5E)hXJl9%0*tfs#N=DIQJJ^_i4WJQjSirUh+;{XK{6
z+)u8=GLrHqhjg{ci)FHh<?%7(pW6gu1*q9ysaikSP0dqgXcq(y0S@Mh47V5-EAj5v
zbFgl*3(!T3e0J|@UEr<XFkMp1E2F3~3m2nwSX&ju;vg<+A!93M{luHE-L*m~l&2!1
zr0(cRt!G&0!t{8|=KV8McYSAp9YjF=eP_$u=cZ0twP{10!JGj`v<{f$L~%E}?65K7
zDv621{Y}@Qb~S83s`NRRuYKjX&!`>4zyWlD7d`~sq8>PzclzymW&MJ=suO?8tn`HR
zix`<lqb|loYYN^o6O?!>)L~KbVJL`2haoGrax~kB)l*UzKjwUYxesW*l&UO}e!><)
zUQTo^c@Q7V@@p6a51&pA33^9Vh(T7AkBHs!6&z8ey45#nzfHOtha(&)DL8s7TE)3g
zCQx9~k2#-)=-G?fs;6AqZFaURG%{_YfgdBJDQ~W=(uOw%<n3xJZSMDclKLsr<|o%y
z*Zk<;X*S4{4A2pxPcuc&xOapVYoh@rirjv(zO0Bf@6CuDaO;_dE<tq5ycxY+sd%<{
zq-L94DQljK6|A3%MM#UaZ$#l@rj<)MmSryEt3EOLHgd1&N{y~M?|T(%-l|eS+6rOT
z<D2qFVb&6;6AxxN&bfa7HKRl#lrC=PYC<UaB7*1P>vpma*awb-<?$7LA|2=NzY7ZU
z`83>S9FyoRbwYp77sA-0z>k;gC|;N@=vZIUr3?2z7n#~dQ9uE&R3M<!j+k8$uP!3%
z1`SJE71H}DmGIp-1}AP#LW*}Bchu{j%NE(}+luN`5;nvad8N@C<+QP9{3@$rX7+jV
zT=D-P2f)^I47sbCRD|qC!ANo!uO3dVEq=H^@uKvlXZ1Wrl}UIK+Ww~gc`u&Lm`FdB
zv5s}k9}&0zMkf?&%H68XGbpWHh@+_KXov3N_V*ppH&V^N0XN=$fKrp+O0q=6&3!wx
zM}`*D(?fyQTaG#>iso6o!{V-^l^*YCH=WP$O$XaM`GNN}3)jD7ycS(_;6I3=^F-SD
z3pwT*?)Efp5g~#lG9Yt21)H2R!FY1Ya(?{?E+_LPc_89QZB%615x`1APK{;tZ0L`L
zr7m4yL?Y$Y<$S_trib#XRD(w}K-BEs+8%o+^ary4N%xrK+|4L~Ql7X)w5~TBrz6=r
z?`q)ED}Xj)gpgKQIiSp!#VE<vDx$)4|5hMO#0iv#>o+RCEJMXr{$GvB+4)y9%g?<Q
zBNA(rr-8a^x>WzDck+C<3fmAH!ch7TnauNKItgG<u4iZq?8!w`2W-#hVKAf1fX@mc
z8WY9Vj~>szmYD00_KJf=;b(33@c;yr0F^A(W|;EqHf{%g=84{_xOvj6`L^2!I#@jU
zOR6s$*?cyYfu?k`(8*ECeMgHN1B-@)Vdwnl-j*tx#vFE^CABhfT^TQ1NSV@`+_SMX
zN6v_CD3vcj%aSD@2%0O#;-<_TXyO?IRFa^B5%Tdr;NW{1uwooh)Td1_90OPgP!383
zL15+*G<%8AntN)|ytgud_Mikspb2JTLC{uTCY%G%9aPSjDwP6?mE7=r0f#{QERHSe
z8>~_8I8FpRP=8nuN1r5+8h!%ji`{87H~h{k;B`O?_pu|bZ4h`x2Ejcu`5H}=c(n?m
z)lKA6%si;-=WZ0_weF5H`~Wi~Z5xrXRN<cFOZp|0aR)-t<}-8jjsF-WN(ze*A4W-$
zgy+um&i)*CkzmQ%9RX@m!CSN>X!{_JEv1X`OVe$Wa}-LxwFBKs=Z#wEL!iOIormwW
zvsln%v|@mgpxZ!T`KdJ#H05MkDgr@>B}7q4bXS;ue5i?}C0xJTPhp}@^~~N}JbI%R
zlG;}~GgndmV2+=#9{sIi9aE=YtO5-UR6kTv8E-j3L=OfT8|{efVA@le-#2iJWbjH8
zxG?%|eNt4txXd$$$$l`xZ>}%q^KZ#JK`K0jD<>O*@bh=O{E^w@W$A|~eqgoDHO3<-
z4*(6f_!6&H^mIa9c>`E;&0sJ-J@{5Wx%KI}HQY;{$UWM~dq9dc$Tnbn%!#i%{NcGZ
zlOsD70iCWNbi#ZINTi@GAv8AEQ?1(Jq2z$a)d-JS*_V0HTDaRbMgsi+<dI1h?@jp6
zQ%A}By-)sdZjjut&1?6gbqDyuKYYp{1GL*-_ZnaQhoCW3!0?R^U5&yc(|1skFsi00
z;oi;#JC$s!p;!)iY>2lvwN|Xh+=m#h*^`&myp!s7M-PBU`=S)uX2l=YjF-R`M!UTa
z=5J!fp&R_STE*~2_t1_*6oDiAU3Fi{15f;*uR6A3MGNAkpP;K{R&R$bt*aqK5ikB1
zh+sA~zot1ZTkJnPluO=aYel8Sdt=n!imYIHQ^$<+X9f$vk}PQP8`j|FKjf-D78d>b
z8BkLoWOy)~9zz5Sz(|e{njpK+_|9K%v;(j!umWF}-H#&ERk#_C$)GHS|A9cTJuS6T
zbDq0C=@)=Bz&HdIf;9tJXLc*1h?Gz)Sx|iL+Db{zy%ble1$qIYM582TYU-vAWzjdq
z3-m3O&0}CFTDlVtO8i9gMvu?0$hdT6fxD2@%dMN&PK`5X?Ay-K;h|O#<Jej`q9W|B
zJEk0}o=kg$c7+k7-xbtF`2Xg58KCY-`?Y*fZP#nJW^jOb=}>!XF8Ug;Pa3a22C|C>
zy4}NV0R!mG@vhE-hwgSIo|y_!Zp-#7s%pHqd(eu^r+5EBuAJ&3Pg<I(zFLC0=6Ksy
zxvI$2+?61R?2Wi>n!f22?OwJE{iTj(**!7usR|!2O|{}v8b2?=jmJ{EQM{j|+bch5
zP~J|a7LEurmi*%To~clgLJ&#xz_C8DMMvr-z0W}9s0Q&M?d0T+&yyeDu<QhqSZ>bu
z@C%0YsI<A9Eyw2la2Coz%e}0KTRz27eV8h!X}p4|?s9qQq2wlb1vS3zmi-=N#7J=6
zIsx->tP81d7)jaC_(mGNSxVu!L2^}882>s?_v4;_#tD8ln|a~;<eBnN+$@YFl8&n~
z+twRf!@#WKUk|eMUQYN?64#~2%`M9jCu$B1hN|MbytqatnM%wwXzq|QSJgYqiOknR
zF@+I@wkthc${060R1gq@h_b)YE6bP}D=lazrQqHVQO|NN{2Du2pOwOo%RkjOxLQIH
zTkZDg8N+xN{4j6MTB``=-M@caBeINX&@VJZHI!JUy?Cm5^PEJNqg~2AtY$xb@KJY~
z#9J$8Xv>}Y&L^CQ0jnQNR*-{s+b3AAL2y3goLDaRU&JW0W<J^pw=`6{<2TTW7|)P$
z#$7*&a0{AMg2c^2;|asR6$2lsKreMj_9KPnGh*Ghr83TmUu1h#QhS{`_jb7K7qe^0
z><H+pD`S}5`qyT^pu(!=^6(%1d&Jz0yX->xF^=sUUNN7H9m3Kn?-}-fQc%r@`z^>p
zK~c;0j|EUf0XP?NAc{$YUM13{?ChNB7fQ<I_k_<P8z#>ecE53=(Qwr%;vNNs)=?pS
zW2XOAbrlo>M@?HKFCiwgzQ|J2Q27>KL&?-S1lWEQiy;PAEFq>t09sT>eA0<T1P&xc
zC$(~msETzAmaMJ)4iLcKcZzv*=iz9ytk8Dj;Vo8*3-fCAD)@K)Zc<{@aN77Z;Wxer
z+t;T>I`MNtPsS8pNB0N0QY@LT7me&~Y>O{!Sxi$FdyR%7)B%No-PxC40;i(OoE9VF
zwAHd!LX$Z3=4|^6`h(N3)E^tTNC`BI3NfgG9*IqC=41L9(gB*tO9NmENe=wQRY&qq
zhR~zV>=8IRQ@UJIgUq)wMdK*Z?fU|<2XnK^;w)3vlo4x4rqHAB{8+QLc_(<lsMcCg
z8W(85fdE&b5y{MWNo{~oL|1j<u*@IY=GQ@ozfib4#X?sZsVC&{dqn94eRphC26n0f
zr77oove-k=z71aOSnL$|_xoL$(_YIsxmWp4H0IJn*%z8C_l{?sJ#<gv({9Feb5XB%
z6$2*_))}}a+$Xy?UM`YA>`BT&tt=%%UJ+z6zZmiNtxE*lq>6+tKpiHfp_=S6_TMV{
zK}@1KO#ZGMIuF46yG1fCffC7iFV;&>t&N68REWt^2m~QS?DD*a!JGGvPfoLZE-TWh
zJJd@|5pGBXn~?Wn*J@5SuGg>yDXxzB@jAK3Z)g|t-fBGrWp23=Gy41JX-p-ZN7a+4
z6$#5>*{}TXTcz!ZO8eYaI^rT4S@H`j`GdAZ3Kt<#1Br0xL9wmOlVUbRqxAm>@RrQp
zKycr`^Z|O6=hl9c5B9}xIpwhw3O|y&cMMRe!N)a22Jfd>RhaK5*v||5DE%tsZ1!hj
zj+Zxna>Es*Ve!Sh*L@MD4Ab2Ewk{ZODG-VnJEPDjEBk=vX+>nc^UO=TGK*jeK_31B
zk|E+4cKIPT(UVqky&*BP%1;cUl>8s^d?%8k`*Q%^UbHrnb0%^$$$<XO!J<7EcKA+q
z^%Bq!L$~hdL}@Sh%G25%rXR&P<?05kzOL+a5e8vcDr*Cn&}&k3))Fxx&2p-fapE_G
zZ|(2PnF8$PELBLZ<Wc%Z+vGyp3>-FietZ#V(B<uCuPXsv$a3ZqQzC+r-&4`^lNJgQ
z27QPR^n?H|)gO;ja?Yxbt{Ljge@meuC<~ZKx?e#bi9w=<ZX%T~@nZopVs&fxAI^B0
zHB61{<{%gz(cRvKm4`!jopgsRIm^e=Gbn6;kdCH=0bEMMd=y1lz4*hkKbf3IhcrPG
zars8JqT5oNW_?(6q?oCOW6MqetmvoE6=9Rb=rgSRjm=%bp&>$*a<Q288hD94og6%s
z>Tq!+6T1KuI_W~XwE<oBNFQ`Ic`oBeBu#bcElrloY7qB&*&b?c3sjzzKY{agEmN)f
z48p1Xf`06b`EBLzN076SHfnGUi>fqHKdDj^SxmHln*<JKU2m7TCQRWqigvBNtStyC
z;r5I}`?|W4|6v|7_{}$T7ogFnm@HZ66n*E_Z9wP)4)tZ=M}U6)1xR4fYMG#0*^S7q
zanQhYGpt!M<2~{OE8zW#C}NEW1$_R@MHNJRnB84vDh}5<*&bia$qG-cCN1|@Lio@|
z<^vfAO<QkuB^&yP9~jXnF5I;0u>EKST4X!KngjHHNuR>P@;$&E8Yf;BL`!Bs!Gr}g
zx4!OmILYHR^^3hx(RYAoS)*|-BstX(3tLuUuD0g16Bd_tB8Dv|55b{<0<Wo!sOIo@
zgA*jkoD;d7P6nw$QiJTs&*>BWBBXpnN9ji`9|^w;iE=A_L4q6>Db0O*T!cfPJF=Aj
zR$VlCGy2vVykZ^8349YLl*eKRE_c3vF(aAgNPSyZN{N95oKDSDMmh8d262x$AS=bu
zpc`HQ2<4z-T>VC-C#y)b)FjM}mfJ%G*?R&TeAFyIdB{I+JZcO#?6*^9CLZZy$gCCs
z>07CQN&<I5e~efBLH}6vrL)4xGtld3^Vea$Rtvki7{<%j)4JL!*d&N(M|xX$L7<5y
zs)I=M3Me_$5pj94!TW$J6>R;^T4vP=q_>%@U9)Aj5Wws|S=iK4PYfFYS3_H98Mbvt
zTav<%1gdOK3JA1D(tBiqJ;XYVrS8MQ{a5uH^FR-L3>+0nygsu`01ni+_{4=Q>!Xar
zsrX1wZN$Rtloufz`vWS57G#(XQ7g**$L<KM!i69YQ4j{b7&HdoMorVohqTxYv>YFK
zPYeCz{}bSWeXW?DML$A76um(#DG9LTzbqJFRUX%Y=?c&dw&%&*kQI<;ad=r^hZj^&
z$>LunkU)mnkj&1VRCKXERsc4(9(9x)eKe;63g9JZ1tkQS>6+BEDc|=ZJbM&%p2EX9
zyQw7^5!T=^J{vCe(wkQ883}i|qY^$KTr-|Zs`yTzUKXYm0JLbu|8cK^rvC6Go6xtM
z0`2!I!hTUN@~<JcAhu<1x8)EbBa!$8i|cdC*COc*d*iF}p1KH-SU=1_a7M-K|AtPG
zCx{-VkQGzxhucJ0X|K^d`=Y&>^f*Ttp%8}%ci<=c$hMuE>-ADnM9PH|lT7*Q_3LOM
z1{EFYbAthcOq=X%b!NhG#8oW6w472|zUn9G?8q&6-vNd74cy5uQvKL^yTUI4R$`{w
zfb9uAJZXJW%b}f+8FI@2M|$j9Jeq0e9QF`c&L0faJ0LsMG@mYaA@P1VYC9a5d7;*3
zwJ9ft$T)ShdpRV~FV+Bl!yV~HnspO(dg*SNOv!vm-IkRW#*1VQK1X`mg93Qv7f+8x
z#6H1WmGWp~&zTqDU)^8nSuzhDxv10oAQDj6SGA&Y_Zw2Wzz6|AG~fwdGk>OE+5<uh
zG%qw0J>%hZdAO*Y{wRoeFWurS%g8uiIcU87=~<z+Xk@y;)Z*fYwg&zwxIs-Jw5V-j
z4Hn*e+c>2US6I6OtWI1@oeHjp%6C6N%cWf<R<I~!$@0fL(&=9)*!L;oFWdjX8e05b
z<3LGbbEOknh-Ku#JS)HmdExev_f`J)M<{ET(w5d2koJMJdfaZujh70^Y(-B#$vu9W
zQhM!Of7ZuJVr~);f|9cEu3~90?ObDzmc2Qq17;mr#jrsc7eAKe`8SEmiGd%yIhEu|
zw&GFS3GJItYPa8<d3uFIVC)8Ppdec2`MA6Hpl-cFxH2NVP`_Z#^SIf4wuc(n8$W8J
zr-^^zEZjexe9-r)5VM@;ibzt+AlV}d!WvzNOUK{h=emE{!|0EeJM6qA=dgI?Sv&c#
zmYMxa7o!xSklrPXR3Bm939<2L+vT@yi%{-a<j<m^OXvj~*y-DN`IEg+>s5QAi1@eb
zCr>JVr?V^tkXek3*{JcDjjpg>cYR-R>F<4-Z^<+91@zuA^IUhIoR_Jh4>K827XRO2
zZXg%AggoaZp9P|60#a;_gO{J^SXS@p9VO%U{Q3&IPoT1~AhUw~A>i?GCcO}P<={?~
zx;v`I6rV@e&rXELEe|}xgz`H8Y<hi0*Es{sk0siBn>AHs1nhp`aJjMM%lQ`KuSX=*
zk3#&PB~AHfkv?j$9|>T6Y|yXD_=$)<8D!3#x9-gLCq3*!DrlJsD7Bi;GtWYuft{Ux
zZVhmMNxMiDU1rWt5NM#%-hi4N<9o}`B7I%}{`fz0etP^x5%9Nx(@JcB)k0gu|JrbW
zi<3Jx+xik?S0=yuwj6?si7H(Sm@EU@58FpVJ@A;mo9`Xsxd7h8!-7oyta>TgyC53{
z-B=Ka*AIvaqLh3VNf(CpLRpuXpa$fvWtY{HDI`6GrH;db%3_J#<VFDrtq+auKF)wM
zYVs}8*hmWI-{+3>u^J!?Q}E)>9dkJy6uwqnK_%h7R)=lXzlF<v4Chc1ur7&-zX1SU
zM2E;-7h~eHd(W!sj*B2=nW|Zvu=yt$?oa6gPUYw4*4IM>fcE1S*$?G{q~%@E`>f^b
z2;PrUDh=!#2YwSxPfGsO?;9+<G{4%7W|U|OA|swUzbnpSDV+U%^uyqj;!V6ry}|eK
zWL(?r2jh*dPso-p`3XIdJRnKcBfsZ84A916gIR$=A0a1wt$7K`;9S<6zi24g;;f6`
zPlsfjPl<Hj_sG2oIjgVg*lz1w!(+x4rhej~5^o31u?A{msU`Xjc|AOWjc~{wl$ccz
zElOm@flvV|!BO@>7r@HqRwH!8oGUtT&7k|1I+rowrSdfPns0414d)&2ZA0@HHsK5b
z?nGSXF+>bn>>)(diWT}F6eX6_xUa<r#teJF9FGQB3iBcA#S%y*WZZ|uf9O>7eQT%i
z%hz?iVYNC*Rz4LSQqGI>2tAwyC|SQQe@vv~)pOxqEgr;kiNKsPF=a|5!(<R1|Jce#
z9RF<eKH~xrr(W@>hp&dR$n5T(VE#hqGM!huBC*cJ-;QK1EhB0=Vk?z+{Iu(KeMq&B
zC5o5c=V}Oap8Hnt=0x}&g=CoDWk=^`gVu;QFyN^1_If@?ipc?qvd~ob9D$UwRID=#
z_7-ADBHANGLXq%BZmnx~0h0%<dIa3Y5D>fO5nk$*c!2F=vAc|88HQ8JwO&ir+(LmS
zPb1ztz8q4%ysa8lgul(RK>zqER$)j~<B~y&#>+f*NuqeB)Fw8YAK|0H1PDF*iS8RD
zFJ#|*4w~Q+OzOeFv>g_DfP)@w;6%N{7Mu!IW%!wZC>wunI*okVh)73~=e^)yy7@AC
zg-C|usqH+aZ+c#~0Y_Ob;Y?xyW-^M&^L1{{+$a?St4KId=zZPFNtxqeKZSj7>^do~
zn~bk)kSA0s2?Sa&E)oCjJ;Ct#`VMe;GyePOVcvz$`=}d(_U!CL?EiFo-G#vMT-$Gs
zq}hLU1vsZ_w;Syf4X6@H9|+}!zu>U_6~1K{vxzQ)CEV0iUp`2QMYB)6y_Wa4A%e$o
z_OMKEagO_mxWoFefQn>Y-@(^+iji=Yl2uK+;Ds}NMW5nNL$s|9-4=N?BAvujbTM>y
z$4wu71v$g<?nLlVvPN_SfGH!ZuQ`XCG|0)u>l)VuvuVqSg0;}#a$|Z$Q%_JIQSKrY
z^I{Rvg+NgLy~`6PD!%V<*InnUCv{$)M(Tr9p0HLrTuL&1psD{md1-uB_<beJc(a&t
z!fiq5zAfmSE!b7O=7^idV4Bv*x?JeWeFuUWzgjMaC8xg4-MC8yEpjC8cA!Xq087hj
z&Ah!XV=2j@t0XAQ6_P)9ui*HKGS+1g2-$WR?`;&7zyG&{m8oJp%-g97O}O(@Y;T?=
zjb|k4QmGWgd!Hsc(8}HLGL}d#5;X!wzxSG4inmJyqdq~X_aUF%SAs*rVm)6{wtP~(
z%=l21RQ#8zO=5USIVajAbO+bTR`=TSx)M@?{(Wh&kcsERUyO$b6l|Mx7g^pa^dI9H
z)n(K+^LCls-O?ku*-GQ9waplGJ@X?oT?}UlCukit%10W7<|4ye)~WUM&6N2i|0%=B
zv06&WRAo=oc3paIPG;E(>LAqTzvCU|wj0Omefi+%bpM7*uE=#t4y=r7jJIMv&Myr)
zT75a(6i<Vr6qpl(GfuthqT=i<2>~XMgC`SiO=^ObP1jVZ_h`IZK_H1UStQlVIinK)
zh{U9<$>a01q&1mM(qBEg*=`BPnI)hdtBoQ@XRE1w9;l9-fC!QJPHu^3CAR4b6w0*-
zX6g(=-bXa&hJX3Q&%`qtdW{~0uHMAC0_UV(+y+t@^njk#SfMckR)`az<Ck2EA^D6Y
z)u+r!ixdwepFz;XTd3vzyDdl(jdzzB!i`InqM`2;AfK}oggUBAO_({NAtIbp2xE8m
zbkV~qwjFz+elwLgT)}yCZ*}FR;0Jf(_~-*B!4v$4mPlgje9+d}xUMaV9$W5&NbX=Y
zDY2;Q<1Oa}Gx0DaVtm7_e`P=TwkeGI6?s@+xsKSV7f@>H?N!{;-cioS_#IFrdOV~T
z$ZN98db}Fd=JQ=`%H8Wz3H27)Q(oG!88xJPcu4nmy=n)g*b=|wtL11jWt74;@osBr
zgN2ht%C#6FHN>TXlSu6=XMW<xPzBN0jv?w-Y^0U&Ptt(8t@_J7ZS^jVRy1!7Q^qJj
z*_m)Yd}Hn%eg3V&t>j<%w{lc|F_y-3Jx*Yv9h813v6)|RZ+BlEb94u*{*m`Is{l_Y
zZ6PrLGB0_&?Z8KV=A_=2>Gz_X4-48kR$}JA*W$HQ60H?Yxpf)U<*8n+(#=e4eS58-
zSn8W%5>COp=7hf-g$E~k>m_)@S5G+dh5Qg#GWv9*ss5gW!7{OCP3Ey@fniS~#<N;P
zXOY}J@qE?Hcb(NY1?&(K<eBPL2}9~$!d_6N=i!v%&n(TYFr(TDppDyV0Y%jywg7Q&
zt4a{20g9lG6mDr$OxUN(3=FtjRC|K46U<+W?{4z=rQVtI{4R;TG#&lt@}2A$y1Ua&
zF=mPs!Jg-p?N2#ce<4G8Lk@LjWZJ)Mjmf2HSMz=|;_2EU!RI7rooPZ9O!$W^g_vOa
zR4;<CHd1AIPZe_~THyn0*(0f2iwyCBQCd`lSmCCe{8493Gt6ZT4!FH<5dG9&RrMDW
zBRaAVKJ>+~t59x-xvQU;e6xry%HgXb#>c*7j3mR<6Q8AS=@=CZ{8Op&$3TNDotjOa
zZesqj=KtCZq%4aE##PjJuRRF#*5vZIGnm&>+Hk9i;lz&C^SkHE(U$V%M$h?ssS}s;
zen@+)2Ddjb*UYpeaZH^%l+3A&bw6*v#pzF6ao+@!Mo_SwL{fXRjd;-bFs09l*FXc=
zC!F-Qh>=bv<YY9IxlL^gYh6IFY}bGDL;QV0@=UTZ?ji5;%8JwL1DVgEu2b2ah18iB
z=KgQSQUVR;b2{m9bDz?<;mZv2RJGTVWO{@|S6-s{GtVpSCzYNnekV=(gwBqtlunmo
zUXrCD%EhI%buEQ%w8&73lNSnkZLMqK=rziF8PN;%U%{N~!ZYz>A&!-()9aMF6_zlZ
z!mc@THw%iT`y-80${WdTIM!5xjt+jBDvXwfb&s?EioGchaU8pNZ*0<Y4PmN&E^>=5
z`z=(BfF~Of_Q^udvtDC<0&fNvuc6uUEraPv9;^qf(yF<I&ws!Z?<1dW9gO7OK6{Hj
zenSjbwEg;@H#lSJPd@WyX*3v0-py05r^3pc!d^)4^DxQ_PFB#rRhd^2|9YiB=viKS
zd)|bO<%<p}w1*bn$A6vtw@)5c@I0bxy^5!~FU^)G=?O#C!tru#dfOw~N)LK*pYMw=
zD@i{S$PD*+9?QV!=$@wd{_X9rK=Ii)bNTU`^i3sye?_jGoO^99`mi(VTI7USHT9zr
zd9OHG(Z@i?V<cE_FUw6%wVcMESkCv9I*Rb({yZtwv1R~<C}Cx~pkme~Ao^<^er$%1
zODQk@Z46vjGy;RA9u2sp-d$1|<&%iV#eS%uq1DGst0-2jSwn%iW@$*0&2AWPx%{+x
zPo=9I#iN>qU#7wr#-*<r6pWdztU_cUfcg4CLYdtk`PmDpXKfI1%ZSQNH5~lBZsm0E
zZt;WPQ*C3SU-YhznX#xW*%F8vESYAG$-DNL7i~}^k#QMiY>{&2-q=~_m^~@5qI5eA
z#LH?NIB!e+o{5YLL;p!?g@wr==IBJ72=Bau=;Ey|)g9%PFi#nhm$8dluWs|0T!4*6
z7v|CVKH_bbjaou2D$Rcb;sSOkk(<xq8B0?cM+wD&OK`0?2{9)8$si~NtwKN$zZe`J
z-@EN9ll_7B<5<&%%k*9iwzC=OOua~alay@_!j9H=o$21pZPiLT9_EtQqvZZC^SQBD
znX$5U!}K?|cHV%1AFq$BBOdRI!_SNQ-vP`*@@;c4Fh(zx*lyPC7U{Mm=9r`Of})`w
zLPY_gQbL54n~S&|0=qkq>a5faZa0_bUE?>oUrs?6)~+A9rnP&kn7e?UUSr0c-Fv#x
zOX{xBBtk4_!|vBo^LU;sl!Dk=5%!3C{`?%YUYfoUeM;2h6EUZdYiuo3DM`nNAwTGr
zR940ye?nH3G}))p=FXSd5YZt_teu#7FuEjxO;-<nb?}-{wPzQ-hFKpDRsgECS_ccA
zv2&1ak~Ru8&mo1JyC?LLfb*JEe#U|sFkc<ApRiUT2Z#Ni$h`S>`c#yAQPbnISJB&?
zA8WUQ*VdZ1r@a*B;uP`_&pM9H)y9K#P&dY3i3o2|cg1VIfvObL(MuPgWOe)YG`gNt
zb^TAxt2U|As9gu;)FB74@z(`^g)M5&+elVzTuAE}LuZkjh7?4kY1tcERg2Bz{<Ms$
zCr`=lU&3{>O!TgFO7d3i$NzY#r+DgjPc*^lUmHk252LN#@HO^+tV>`O0!I9+GeQ~>
z_G4q=3<vc}_E%Dg>?jAAICBgF`yOda@cn7YLq&|bFG;H9swcFQM*$5CzNdiBi=*cU
zJL?i|i(TQ=b+gWKMlmkCup5m)wJ+7QXV7n$C~qW3a0iSv&c41bOtCC91|L6utUSiN
zghRZ@WBn$%u=ZJN0>;T)fM?{>GZ9Be=}GmsUPX$ysT-!}(?uovZKSjIfj=Mjyk_e>
z@|M&}K&mK(-5O<6Pf4nHBF)S5@@!zVLF9RSK%C-e-Xh`As6Se)FcS@}^BzVtWpaOK
z-DC)Xh?RT4xn+UQOm78#>5t;(+hJdp@M-q?`lj#UK-5~FhEXnUymK(vH}qr5OOpp2
zUeVwCbZC$=e!Q9CfWDVWoia&Ze*<7P;kp0$oP(J6K+PaV{6bCKn=bXt&N=3d!9YW|
zI0gA|aK;Oz)0~;VHmDl}g^5<WeVg!!>DALOI}bjUsS;F5QC&6f1Nj|P@xdlZ5(+<1
zA}@nq0gar7sS4qNzb4h0`aLk}OJL^JJSbN*`R}f)$8&tB(t8A!$bt;u0@OZv(h8#p
zc<z9aXY|qaN3ObhaUTg5VBn@v%8oHh8;_;2)99ZbC8^@c6Lpzu(Hkj721#Gw3Q{lC
zx{+{4V^p0Lf_&j|R#FLygwGE`J?^k;voQV#<~zI$8C~W0obB7l``{DbC_Be1Hog@r
zqK1khnLu$Sizc@wpB1$b38{G8vkV$za?$3Q>wQ<pH*BdUVg7|erNL;X{ZT}5S!bOw
z%M$vLr17iT#Y(VFH{z^hS%ztr&(GTP2i9(|cOK=2GCr|FB#?Hc(^74gsn&gUh;6B1
z`#d~4n`8e_#k|?`&wFjbB?Zksj)m2~=ijb><2E_>yt4!g=FU!@gNO`_xIA@vhW6b;
z<JRW3ui{mgrqI6+{C<F7158vSRe9*aE}(j_iFZnDx~ro%X>DAa=8cO7H?zUWRJuFY
z&$+Z+oKjetLYURhrNDrnvWoTe>8InT`freZx){pCqeK0VhoIUp()Jxaf+M<K#H{bz
zm)x~2u&HNi77|mon2k6!R$<(`uPeP#0q@JpgLQcDoj(!fi@qK-m!h=oZo@8^hPgMO
zetB0c_j$f!F@j*`Rv)QUaS?ywug#AHnJE-*;`3=M9gqD!u-`sJJg^hU3^+&>XpMV9
zFx;H32|rq#UAuA$!7C`F6Jg%>JSDTm?ndr&r|!AnZbygFH>yJb?+_B%zd&8Uah`!e
z9-O|(Kd7vN!UO#U@E4Avpgn=ZBI`08pNo+z;)pLeO}@DEeX?9flRjyeUL<l7M(hoV
z-RnS;FFMcH1m}N)yl2QE8tH2B%3WB`?9WKwrGb6(r%FAl3WyNmF7qD!gFTzL)E5%x
zxOsh)J1}kZC2b0o6YvG7OHjWz^g@Sc9Nip@q{=ytnTAvZ^JRlY^7u<cH!0hH)NEcZ
z<&34#e5))PB|>`VJLKr<M1reXdv`v+z>V9C%h9ZC9@kAKdDN=gr@!U?T&h(AFT6)h
zO^cSvOEh@RvCX<&T8Nk82J^sh-&{HSL#BlvxsimXAr4_9^&$idN2|_P(j_VWY?^fL
z*P#%0ck?se$`!iwez)-r>aUWnLv5K0yd*n76o=GOMagsCc=M5$-4eDLeynzHJI9Ad
zamhVN?$mlo+CYzx`1a$4N4th<_1H8$N?`bf`&f*Rz)1^iLvT^AvW~U&OU9cnER5Z2
z8FK#av`@N&dQMH%zA5TU`jcBmG~%}UZ@!3!PZHd*CdVE+)8V$pgc&{f(SMI!t%{ZW
z;5^yRpEu*{-94|k?F0okJSZ5)Q1}t*Y>A`fj+4I0SUUA~i#T<Bo+%GP*%tWbq^|$$
zSp2dzaJx+nvrpV>fgaC_W=s2nsNklR6ME!rti!90dwH$InA!*jM{_KTW>c#3=|q<e
zc;5tnpNP`P+5bCS`tt<Oc!goS7s``Crah&gL)qH!$3-63Ru#yYYi5#@3>MFP2*^SN
zm9iU~WnIf}jk`4ZS=563bdaj3(=t=}O%>tA#)22~ohsJpHTyu`o}YLUoT;e-uvgo0
zEq=h?+Fk0+({W(#0Lz;_SLRcU?E=(ur*C}$KW~KgW3xmbU3{wPZ{YGL;lPYxzw>ub
zVpyw&V2A0U!Hdt{cmtaBRIDFt*jc^v&0g|6yJAfp@oZ^zoNpg`y+J<CHjb(>A6Xd%
zgPL0u{BoK-j!jrEU%BhmkDFbM<s2*++Y>}vDt=qp;MvK9!jloRAl}Efc-gR6ZQ?P?
zFRyUDO5`|ojCZuO8@R$o{p{iS)gNZH(RlWKt+KiY#<zJ?Ta5nPOz7by!^bqsE44Xf
zLyW{*7d_&-biH>$jp#v_Q;z`qAolSx)87+ytL{q#&rC6CnfPAa{`jJg6nRohc>knd
zCey4Js%$enWl0Av{Wp}j%^f>;bNGa8LbEN3hGmqP#gzxrj|ZyNl8ia0^6LKHExjAx
z)14T^LzXAJoY3r+oVvGf@{=`9uj|+IjPI0Dl&raqZ%}LGTndLBBy4JgjIu33^$~&h
zf0-z{4x{kHBQwjY4++yTNWM_><c_n4;QUxu(a(&hVYP}U#e^;g1}A5CSbTO&Z*zl|
zbS?D&HUQO=crpOEFI8JX?w1g@E@J;9h5DO_YlB2lP5h|g8_c@|g3%enaSB<8^FO>&
zwu+oiX`cDeaNsI?YFb}r$#U_#cHaEP!ZkE?);v|EA~kQkkIjfIkA%eJ8U%ShWL*=s
zrIro3ioe5OctXOWON@6{{3gU>G!}ulc_R*WgwG_-9(bFCLb-<y5bc)vXQUY07MdN=
zXKGcrs$Ha*Or2T~HW<pkw!1HS_{YZAOw$kPA|PsOeJSPCsXz9Fp_}aa-SR>V42mgD
z6~!Cs8?qpRK)gl@@RE=&;&enEHGiPMB&kMXAskm!13|vm)D%<VTR626O%J*TiZve(
zR$qE56HA}yU(9?Lg~31We~3o5pcITNM>;ZV>D1oC_`5-3<v7X5zIa`i?}~`|b>95V
z54vdz%=LqW8vv-5)*TSS_SJ&0C$tEN2;CN{h|PzvTPPSiZQat3!BY7OII*(Agkgn;
zH_1IGB5jR}1z_D&VK&5SXZ*W#CG<P^ELh}yc^LsIlq+nX+dew<jjcJ3iQIT*B;<6M
z<iA(=wkp5;rywf}k|LtgeG5JH>$Taei`<w_+)`L8&@|`(0(u;4PWf6e=otVSL?w%J
zAI8&zWZ)hkbbT2o)k(Yy!<PTwSXv30#3*+c_-D`_TjRbJB8E1~_Ijs42-M-qVw?0j
zdO&vXUBl;5MxCAzE6{D^md>8GQeqC^xd=?{5&0^~oj#SBylkihC$ofrN{x#5l?L4J
z)_;Ff)$+0T3<ZxpdGe&^T4q=l`GLroD)c?h4mUDyNmhl)Cxk`9x+Fcrlky~MCAql#
z@%gl0*!OaDva(8CT~l*9=Ji0-|N8_?V>{gZ_+ttMEqdcS^`OBd!*JM|sh`bT|BY7M
z+~ZvPYM6p-(S#dT@MpQ&c;6zh(Z1p#GERXM3GLiXP(NC}binHtKw^Ai&Xf$hYVixk
zg9)!m!L*1il;4;C?ZgnvTboL;E@HvUE^w$M;-B{QuE=jq^Mo*Di&ofRPF+0o@qa>y
zIsfMVJrB3z?~{={?;-+cWuu}ZnzMMYh)5@9uh$3Q_v-9j`yMhDBAX%Dr%nV@RTmd|
z9nPom7z$UKb!C@^GPwe`=V>~RV1r(4egO5zJ@Q^|!LQJv?Y)H8c?2)yF6Fp(NI*c-
zm1|1DeN4)C6XJ0zeU&E_m0(4UAlu!mJ>1jqmg7T3c*VS7suK!xy`8cyGBv$&@tLnP
z;P2L9#eXSZMJkNzd;I*}pI6kKN1(E$>I`sVP5vsKk-IeVF!t+j5NNm^Sa^MU_64lj
z8MmxH!Rz|Jzicf9zr5_ZhNWih2S1iXvsM0=@{v?qV!agMYxe5(%sZd%<>U>9kEfH`
z5cl2=fjMUB)8=N`V~?&gHJ=T;Wt!WkE6mdA^KWK|Ov=A1JqcoW)c@i6?0U?;#q)wX
ztvH27^nx;be^4qJWQ*+dcN>2jD|zJRf}Vy=ME2X0oX?D*e{OnS<=vqLP)+MJ+k5qY
z>0cLRcy}c3!4u8CB%sm{7&Bz^<(Q#DIi1#64MsN638pm0Y}-$J!?6Lj<3lLyg%Tc7
z7Ef$HoTES~bPhWNJp0XO_J`u(tNjte#ERAbWyk;fe~7k%@p?1=d?%V!wbsm7QBZ>0
z%S?J$_umDLQ;3Hr_91dO-cGV_Q8(&u6WJWQ4ql7ml^9JU%ir*%pub0f70>0DUPi0O
zM2TWG+>y}xZ~52bNZ1IKLrD*_{?Au!AR5oA{Eb<14x2A?IB>8(6T{lK5KPY0idXPQ
z9M&eK1W;eA>Fg=Vm8CHk*0Xw~Y5(6%fb84*QCJ=7*O><Ge}_aLbssIT3%<{pj9yq2
z5WF#6fLt7Nd#Q=bWVv<S@w|?=@}rxE7Lxo-sR|LE&-34{eoQt42z%&f2ZCPf-Y?H*
znh+lU`HK22mU-;>9<6N%=KT4t0<CBn@p=!V5z(-v3p=~~sO)$w5P!D;^$*|eJ+NFh
zH#dKqZA>U%StGj%|2aB_-V27(z61!3VJyIagCS&J_*%x5$QibhFV~M}rdiC|LN_s1
z-+NqKIss(PyHFef9*$co%pVb3e|Uw-C13(1M<xsg{XHq+dM1H)X%7U|^1PWa4L0uY
z5Id?BG}m<o<!YBj@iJ2!2)mga3_DQLt7*!)FT~;v)=DCWcP)C|$Mm8wfnS$-a3Bo)
z3V78g=FT4r+<<(VLY!-wYXguZ9uGA^ls$hX^hDXe;aB#{Pu9o&4_6oAR^vE-H;Sl3
zJz882Lao@-f4EtNBxfVue(nn=4zqfu!8vXWqhkQ%14wjR<yX+N2Nf=yaJR^9&`yJt
z_r+*#PM-^ZWnS&CT=)L@zKM|QnbRPAhjDh-Zco=)b>yp&{7AMR7B&U*^aM!8AeoE(
zoZ@}PXZeMFj1ktNe;3Nwi6P9g_37T^<ApQ<)?I5XmJ8n7Zf?MO?C$*Y)9VrrA$qbG
zT9-u5>U8=5paU@d@DWV0_6j}w3|BvzfTiyO-$YomK?_#No9+EkCNbGVtRnWYnst~I
zu0lVr`hME85Yy*dPx+PpL7Og|I5fMCzu|iabf?yL-^U1dcEF^opFr2JsyJ<qSdE&o
zR{Sv0KtjgtM5$7j@C2-eDVxP#rJwyc*-lg1v*;Ag#DBF6-2qrc6-9>0F-hWzFvfG*
zg;HTCD`ZXG6I;_yKfil$+yHdmm$jUCzOd?tQTV<67W((>YfBI?>S93^!<kY=@}ZXZ
zy#lO8^+zuszeXL?L7hPp)}-Uwg`VCu9#>Z4LWQ_aEw)YYQM}bmk7{0qHg594GW4*!
z7=NO1Hi?;6Mc7}REH-F}(1nd|KUy5CXThAB{rsmF8}F;pxrmPvhpoOye^>(#-oO;x
znw9VbCf<eWEnEEi4fb(=93!(G%vqWFrbuU6`(s=jMXUzBZaw%B5c=(g5`s5QA<kHv
z#K1k>HuX3K)kDZpzu(Ix5a-|!K~vA&ckFYVYhRcb#i1_35<TN&<((>}E6G`ZRPdK*
z)aiir6$4o^Oa>bMs+|&J+PX?6#`8_!Nj|mO`L(?yp`y@>gGY3HdGw^5PUAUc$mGHd
z$NP=!ulN~mNZy52xZL^T@3k05$K~b=c;x`;^fdJEMUK_on)7KidIYwa*w4>tnf~uJ
z8V)NHx|~OT4)bhYY>F(2TzAwNq7JcYN6ph~a$0i!nB?3m!OM%s;=JayP{{K(!aLV$
z?bh$lHo0Fdg%9Q)Yg3VlY!tM6{XHTnMCu5ICeE~Bf2<Xq%9xS<aWgy!ojxarni_N3
z)9^{o<O9-C%RSkrav5ecp2B2YN3km=Y{{uh`&nWnNL}VWYsa{<h-SV!cn@7nN$F$+
zc=QXy?))YHmKoO8VzVzU3yv7~&Z9@?t6Y+#913S$yz3`Ve{IcX&PH?@a{OE0V2M*<
z=7z!`4#)Si(--R^1{ek{xabMoO{Y)&sxR>jc>Nhfu|A01;WWLUc0?QUajb@druhi#
z!H+rt5?-m#UVqfD|0dbiZx@TLE%<*QreR?DdYNpI@=v~C7r$d^SRx5;VgIRVJKeMF
zp(~QspHxns+W%M&sw+snIG+wDW;MN1^H%*zw17$%_yR6?mC4tTh0JcIWwx5`X%9DN
zk?1-RhVK%ul2}Yc9R8$NQAdKxAMTks)(1ae*}a%H`qO42e?DC!hfIzb&aBz17Z(|(
z3U5J1K@MSX!%|GC?i1-{Z98T67L{3M=1vsdjZF5;T^i^FacH`3@cy@uvo6YpM;3n4
z$N&GgAzmc$5;w)q8*E0(5Qn<8nqP(}7&ec%$S%MW;}BBoYmKQh1dyw{XBiqgsxXtl
zg2!1_Q1QR;LBSAj@gl{<&af$Gft5HctZo!z_ptiE-75<fW<LbFoe?Pyc=FcHk*rO7
z-+}6ccX+nK^fzd}#iwstsOL#-E!tKo%&90f<_iuI&==+l*<uC4!afg7M%@zb*X9)D
z;WOy#bGd_;^53u1pui;TEAV>r8qhB2Nk(82WeQ#;$^QzFoMl(2Azm%4vvomFVuTN@
zNj5_jc4z+e0Sww%Wj`DdXmba(0H8}~h3ydi@D!!<`n$O+;kl#+E6I$jHtktlKe4%A
zZn;If!H&hchzti6R?!A33+l7~N;<Bz2yrVAzQFnp>o{7N<9izrMzEcMwC%djZ0@)$
z&_Q8OntN{D2`<LpTMh3PT71}EajGZFya$IUmMWws4M_SgzXdT*pZ>V_FQT#~fq`Pl
zB>k^%7b*zDtSw#s-ahsQn4Y^n4HMgiIq*bdv*Y76*P&L_!UzTWQwVt-g1=;autvx0
zb*KRu?gvM!&5WT;8kb0j!?jq_L~(~OU!#ZTVkW&{*5SjmnTHyko~Y}u?Jq!0?jl{I
ze2^E*aAyV<zzdK?n&4k)D(``Jv~HJ(s6Ke#;tENn3e>sdVAS3~<dP()pFmhlBcUT=
zb`uyZ20A*I4|3`X(6G4C+wupX9R=0F>3j!>x*A<?eSM@toR*yz=jp4Y`G2E-SHuev
zf+wg4aF;z{YlJXe!hI%9N}FGof5iHHnF>AF3uZzm;asMDp@)>vIWE4!D0@;_;A!`?
zkm_Q#!C9|Jx~T-^m=I=!@J|VL|I)2bIz8eNSGMm%2qR9JY0*3<193F7wmpv9ulF*1
z{fi~=_&6}c+R#f<T)ovw-g$&3|A;{PcLg`UoZ`(-NeYkIm)N++fLeHNTHkZ>)FOcQ
zrJ^#|?s}+j78}+cDRR$*ri?oj<=r+9zX0@3G;d__2%ox(J8Msr#xia?s(IVS$8gk>
zU>Hy+B3;zIiSO3jd&S=wkV<svJ9y6$ze?X$-naPm;yYwO3J5|>s}Gt|V)+h+x|Q+?
z3NMl5#c%bD=_))N5ODu!+-|~C2TNVvvHd-}J-gN)Nc61f59?BkaWRIyIIzx$S68Z5
zo=;D`pK_~0N@^}b$m3Mgr}?qsh5+W>gp1*^kKeSonE4vs-;?w{bGvtz_4TezBPl#(
z#Bmr8mioA^uq$0rR}Cu`*~=|^qJJc*$lQ3DTep$ZKr5<6lS9Qoo>+RVIpsp!Wzg%(
z0F`oTT$l%zd*9ol^szWhzV}yT=}I_g=}R@Y-a&y=rcL0Mi7YI!#vxP|Ud-jPZ4pVS
zStc}|KcGyV8g#qDqzzr<d9P3c<yI*4;Xi&%&&iljI81C8i6f^PdJ~7KsmvetDs5*9
zUrpn}y%-|1>b_YP=FR{aOOBfeEE1TC2KzrMsEIiOnn|O<sZr0^k#Av`cto7mb^~l3
zYcO~ZLQgv<+&DQZPi3pnKLJV)iUX$2mJ+hXe&M<F%f6DA1_&6G8!3lVXW!ELxLabG
zxJSN)ja=r=mc~|V*PJFgI?hD^TI&Q#$A4gfLUQ{<xf}vGN_!F8`;hU*ld%lQLiCp6
zogG!r-ULEv(8Gg_;0%a~WUX3gRXxOYAD>%4avAs`8h>f(Q=M5aNltDqmlNr2efp|#
zZ>nwGB4E({%IQ4kP^ZM+;*=|vgfqAQAtLVLw|eRS+j47`>j&CmMPpX)P`R<-V7J9b
zJKz-t^5Kg^)&m`v%i?GKb_;O+sRno&@>Wp|^ZAG6EMN6JR`J-A_^HbCke#xi=G-qw
z#p4rNWT$#cEI!jbiO>E|f#18#DV}p~CJTMj2)oN~)VVY0k|OXfun*>)HwtvJ3{xtl
z9tppUeI8T5&HR1yo+F)(z;0eq+_&@_Q)F8Dw#|DM(j7Ku&N&%&VHp)A$z=1%eWz7Q
zPOmhX(m!YZPvEk!#pxQCR8%5aM5fwq`}gYBR_*<}0@j?lacjb?u9up>v`x>3I=d=(
z0yo~zp09qqr}X_jTamqnM`s*TxvJKC^#0tLN6N&6zR7g@oO^%J=IAzM$<6$`Cmi{h
zsge`CjK}v7=X2n!$s_%bcD_d6o&qn`v~=5)uy;$J^O=p2dsBQOavrIAPpg>ujA^wv
zx6onnU?Kg=GhRa5xxBW`I;s5&crjLNY;5jUG0yU7;32D7JByzi*?yb<|Bw0(HsC1t
zLttEp$M~gsY;bJ;e|Sd4wBW$h8s{rrr<6Yc3p3zR>p8$Ca-!s{K&3<bj$BycrZ*$6
zXH(Yg(!?Yqh2jrZ@8)fLJ*mbV)Q`*gTLfH>`T5arU`fMr1vD*qJxna=$@X&&#}0|S
zf5$lSnT_85uQCe1G?>;2f*Rp+l}{!Dhg5(kaUM0j`|3)&Xz{djo}y_<Nim<&^n^E`
z(|1S}zYvo)=kMta9hZLr7tu%rbOr&B5ZjV*kclhX9M}h(zU|Mo)2hopDG6{hZtIFK
zK5Oa@G!(cKLqB~<#I6G&r)K{IZjGGbRtX%`@dKXZDPbCTb)zt7Qbl|N`wCz)5LmPD
zdiTrhFO9ig`1e@p-5(9Yj=(l+>cV6BwZNgCTi=7lOhm;RB{)BP>nl9W#Xo!2O^KHM
zYKFBlHG2Y=cCD9U5B^u2m~5x_2DrI_DQ?yExazfKQ^ITZPru|4Idf^iriixb`8EGQ
zhjpL0x98{I$J_iS>;zladwEy>{;$B@Exq#g`xMpyTR6a~)3WaMv&G85cGr&w+t*$H
z*mQT54`?W|?>%V#rm&_SxYi4Jv}5w)A1~Hy^9=8q`zdGFa|X|U*01mG-X3#f^1X$M
zuk^KzU1r$1f-a>y18nlj&0P30_@Yz)$^5+nqEA5;85q_0@2-FJUuZ*mYwAtl`0yiD
z+5KjzSph5SUVrHT2I(KY6+2)m+kweuf3xy2ex13GPc-RY1a2srY_U>Oc~`;eWBGr9
z>!1#;cK~)Xnx>k7d)>eb%7OE!Vg1#0uYq?|+etSAOLNEXC-QBXPOJhK{4NTuz~<Ag
z8!v%D47|`(MjzPmziq1mBwAGC!Q&PRbAbw$ZN7gs3(=3?;O(%x{>`VUB?uu8bzm*<
z@=f{HD6lSYTlWoc#w>IC`X${kk9Ig%0V{K#^!=-^!pCfs5~c&23cG7mV-XrJ0msDB
ztbWI?g|w}}^Y*)e&bakd`z1o-1V3O&b@}G|tgW!Yi3W}vs=zLfUc9F`xKReu*jNH|
z#msYc;j1A744?-10X?8&%YJ(8LTFqv8Q4@T`L;Vs7uGISU@8MTcFXDTO9+iP0wZi$
i?7m5Q2#qgQKGYxj%Hel0^12uU5O})!xvX<aXaWFi3coV|

literal 35151
zcmcfpbwE|y_67`7N(e}Iw{*j%B{mJx-Q6i6NGRRiC5?0mD4o&*qDXgl35f7c&bcSP
z-*@l(=c`-xa;-V%nmNWZ#&`zdFO;OwP>4`qU|`T>Wh7N$VBn=-U|_?L;J_VN)cJQ0
zUv8?>;xJWXBs<_5!$MouQc)3x5j;SGfrrI{fqy6h{=&d=!aUT%0slBdZD0`oxDNvZ
z1>Z27?3`Qz9Gn8|JQNQ<`2@K5VPKxb!T(+3OB}-A*XwZ@e_SJiidS)%e_g}E#9{q?
zjg%1g$29^6J3mZ9{J*Xf{<+SB{ik<%aDVj(UMdg%uWQ(_|JA$y)?*fSegSrN7?}V2
zy}e#+3<HDEW}~j{uC1sbVCLk&YGUqWYQgH|;Qa6c7$GkKaOq&-ZbISZVDIQA;3Z7;
zM+pIN{cxL&isFwV?smdd+KMkIB%E9=D0o@fS=p&XP$(!Ugj~%n1ym)W|EUiCCroAS
z?(QtW#^&ki$?D0)>f~z0#sPsq*w{JQI5}BB2^KeRM|Tr17DqSgKO6b09Z3r}GgljD
zcN-^1iidVhOr2i33sX@&yy)*g|LLcL^WQIWbo<Y!!1&m_Oq|&`SlQYBTO|uGn}53Z
z|5NMX$^We8Z0+Rk<Yw*kKi>HF<Nw)!x!K=+b$;n;|HqV=o3UBgTR2!ay1RjT9RIby
z?lzYHqrVSN{(RjZtMKRK2!W*(P;@f4vGkTSakmh8*eWa>oGk1->VIu+A-4Zh=AWtk
zqqc;r1*rM|Ui)8V{#E;71_hKYE!`~K)omOsME=~1LTvx{{{OBbX=7#MZu82*{D0N`
zr@;ShMD3-in}ylKd;ci|4&Z;@{@<Sd?-rC@K|dT#>_z@t1AjmKzxDqa`QJtU#|-@a
z{QoxbPdESTtN*>we{VT~ho$;+LCpW#djHjj|6bu=Juo*DaC>QLYhmX8ulIm$^~d=Z
zH?d;-*KHxT|5{q;VN(i#;ekDE@^FSlIE2{#|L*<gokDC62mD_L{*U(mybHvM2nyJ#
ze~Bg$6gb0o3@|WaFtU=*)xBW%vk`Bnr|t)Ate?u-goQ}X%4br^y%P_wOVrT(_B42;
zA}Uu=k~V1s>m8LW4R>QhgSG9}{m99$ThRrdj-S6;*6I&mFG$BaZRLz#XPt?RpS2u~
z|7sl<I6msQ7ZD@J#DM+l6Zi$|Gq&y^Z8K6>z+azE5xBaobCQ2<h&3aB&UxbbOZL@Y
z)nGB>giEZ%5G4QlbSsKo>Nn3RPe%UTOu#-w7@mp(?mr(4N6>2bf?tB+Kef!qcL@L0
z7ia7^Vf@3(#Pfe@QTQm0|I;E;P-eh>3&QMCwZ91Rd|u&0xwv--mxl|VoL9P&nY2C{
zh(0rHLT0)jp}=tTsq#EpY<qPf=OfQ-@bSE|X))rn$LBaosR$hJ-xuFMz1-vVI$jPd
zzhQjnqmFohS_hb)y98Q!&2r63@nDp`NPPdpmM#7FpKz+>jguWVF_D^tr4cbl6D~E=
zdF;NiG|gkh9|#_`o_(f{HGYnD1bv6uw^RNwj|hpK*`ABnS8K6LK1Xd#niVtcuYYlk
z3r&?Mlbg=RX-0fUdq2cQjT|(WQ=bvENXb}iHJ)QJoO1BxUC(TzUCa3}TStS#+y~3i
z40qab$W|73hIxI^wDiGtI>Ma)@>{i$@<^`#-H&P`QB#@gyI)6ahOJk#cGU(A))P8b
z*%lkh=!x{oem6TM(y?R?Qe){{TfNxIg-)~0E^F28HxXB$Gj97cwFuBCf{6wjHEz-s
z@Jip2G>&fuC=W|7=7pTcj)+DixpkRgSM|)O-8T^K(HI!4;9)a7nu0Vw?VyI*r;?mk
zyIqLnG`GKwI=CtVV;sI$Ej$&y6+`t`sX=xBTBa5%U)_2d(PFXv<z1-@_GUFsb+9-r
z=I3OwkQuj;mFBG+pBRB%hK9i?LauE#)iW~TSL*N8kvC2keU3Q%KEB-hHeIg8XERyo
zxbV^U_gbu|fajq?U8><Lo5fad^4I5>JIbQJ-5+DJww+IMS`5v5%sJqRsE^kUkj=IE
z`~>9}B@bt6;TP0PUr;&<Z6vA9HaT^GNtHl{n9n!6&|EFQecFD#nF$s?$9!D$Ug(XE
z&a*%E><Vqb2T8Awb(f5JsC-U~3ep*lXJBiL6m1Nr-e1l+5qNKFRCMw!dKEl>`}kt-
z`%;ZbPYR2kb8FkxY9v80=(aR+rk<hSwMD;kWmb_F3l2({SQWzQMg|o#vhD|aSwu{m
z+Was4rC34^U{{E4=e<o^2_zh#owvkg(li(E4@4xBv8she6S<Sfh7jeahQogU_|gt;
zfYeieB427kP;-IfbIr7jvj0~}zq{)#91fq$ebc^(M(c?;LZZL+>l2klygLJ6X|B$v
zlv`f!el7DpUGL)VJ+rbX`r||er3Mgw6Fd4*-pT&RXoqW#T9F_)iVQkR=Di+|nr2-4
zj&UMF|Mzjv)7r)3>50AK`e<EC0)*<E<nVvi@M^2nYWlr~qJw-AL#@Lc?>>t=Y(GhS
zibcOIa}>KhGY(=uVd}R^J<q+$rd7*wjdHvUi_MYr;3xRJ*S+_{8OTB&DXQfLpLlP!
zgRqs-MEymEB7MO2v~{0KdZs4ua#zyj#BECBLF^zsf}JYi;Zk4@j8?AFZ*kQ`4a^qw
zJWXw3x~<f2;k3nA80HU2fBN>6yQ=xs#jZw~>IPVTOJ{f^(vM$rWF@sD_~63YBLbu-
z-1b{qz0Y(TsRC%5jJw_l`&?r1?!JXFD~l%L$;Tc<%oXj&+kM-4b+V>{t&rJsJzl}@
zBLWGIg=`W)@f7Y*8ES&w=(vZHdJqh4uY{6|>=Y(C&nn(-y`5q$QNUq)5GE^B#+I?{
z<Go?RuIn=M_TwVIn5VQ*@R(%^Cn6A{Xr&P|*{La^CzA^YvyJ5~-*1NPH$CsKXXwXu
zv<_gO8498WOLZ!NjzWAYk+@XeUXv&c&osMGtL=?w^qWu6ExrCpDl7$+`Q*MM?tcO{
zqtzs<u)O6(LX;G$Bxjr1&%*^w@7a#J`M~Otdy4dQu25m=5u1{1UfZt>DB^o7mjzSd
zQ)7Mw-46m3!w_yn%Ea<XL4I}H<!rHHrpLkTbgh{*&O&D(d>M{f3cX@R?>1vkg{4ax
zAsHdBy>`3rH39EC>F7w-{F_o!ta?Z0*{_i@&-#dAC5@yyset4~?-_m{E-WUL<7+uw
zD+HIDm3|yA>hDK)VCet*LLtHIMY24NSYJ&u?%UWM7lotd^#pn6yEDqBZCR&F6E#<}
z1Kjd+`DDhv2;FbHiMXB|&x1NfGkDh6_GrFXD14=^h<%W;=8s`D>p4}f-aKLL{25{w
z9j~_8Ga*sz7U?j+&a_rymF4nyL3da0qq~i-*Y96Ht!z29jy@fUsFxe0CWP#;q9z;f
zuJ}bl&6Sz^h)1P4sEm<F(#rJ8YO^9Hlz1_^uE$4sUqzo&M-TQLGjS03TDrqvoO7n%
zccBV-pz`X!P*CWuFCN%9Z)VpV4iZXA?a}dsY!rC?u~+e7_j!w-6sS*R+2aQw9)=J*
zc3zt5ebFe_<QN@u4CR=Kn2IT~K_vHe9<k-j@6K9_Wc|pnIUOeRY!Qh9=p&5J+CJ!S
zqYNp`@<ucHtfX*%i`vPy68)(<DJT#K(k)g|=2DH1%gjjPpz#DIG#EauoKZaCap{KC
z<s>y*+DpzG$yy&hNfaep{?u<&%ULiVGg?^pi5bntAlyYbf!1(@d%2NS?@j;K;*u29
z$mSLPtkin)$yonj1Z$wV^V1oi|0wQmNuci2bmi+J{#MRn+^|2~CKPa}|5ErAa3)j~
zKCB9rv^r9M!30T)44}ZR=^`-yX`LNl3H;)32^9~U@y`#&1DfE*?)w)6Nkak<M9ofC
z^B)KjMhBYD2>*BY6%fqFgUcFe{?NgH)|Pw#6{C_I|7xA?0f~IoP0;vfK=}aSL|Wz(
z{L?xTHW-hIEz95^=-|)V6QFr1E|sXikWv6rP&gP5dt-_@?mq*vhP%!$z`-Vg18V<j
zyCAk$A)V9iTSbw4sv}T20FrcJvPC7V4<?qF4<;ltYP>i2<PnL-BH+IL;+=RfyQU;3
z08uoO#z0V(PL-*ZjO7UXYz!sOH90A7d(iSCpx`p90|{srEBryH-tu6ssamh8>N7%6
zXQ2Q6Z%;AFcmfZ&wf<<I%O6&v_qS(LKtlrIy3D86;%b44IfCiK8H`OE@cecw*Pm6V
zZatLT@9K1zZ6Jnp4jg`_s^--sH6>YYrXu_Yp&N)v4Hf!*KJ|czvH|#buUV;kzFH$M
zPU-t4X#Rr(aZE_A-wjaEvPW${4X;l(sz2_&2Y3uoaf~@h`ci+HD7$^lp=sfR^+dkk
z?;8X62`SEHeFw^sPpL+J-T;k(GtqX`{%hO)qiz-_c;#^d%)*De-@lILTh2c2Rqf5U
z)Tc^W$?BN(M|q!5NI$`2=Jz@_zTUlcaEJKZZjkHTJYj1UTdD;B3AM)1b&!^GlM1%z
zmtYWE+qvpZMpT<P+1(E7^Xu>cq$`Q#WGzFRFL|(*BsnyMZmf;4#`MZLzWsz&U#pG$
z0YqU<&bQCTi1Qyqrj4DPcNri>y(c7HSBYorhZ^@s5#k$qt)yG!c#jMJoXN+<0rNu+
zn+3i9edHhdlzb5&t7BPm@$eELLIG^NJed0l02$i5t8|LG{g%82s{VO=Bi}$_t@r9>
zd7qPByH*%=kom+QM{@4eRi9|AjZlhJUjf`>f#=$2JIz_58CX5|=FyY1FyF0g&q)sS
z)*3>Fy!{q2ZpI#8Wsz%|%d9BK(j0u^Apmx*n;CYjpY}PIg5zPpUJb`G9wX_gXpSV}
zu}#`;lgp)ot>JT+O`<DRD^ZHj*}0Si`&~Xs`(~;h=1scZlHV^D0fyf#Oar~h?8id{
zXo<TGLR2nZA0-fc>6|BJ={d?GrBX$P<170_FTSdwax12>Q|iH9X*yMg9;3Bsu$SwQ
zzuKlGbi>0~f^X=1`&2~c(-mtt0#MsBVK91$H5nTH`r=<EGp}~bt1Xoi<Ef>K`SdnY
zn7|Qhp>pMe<r137SO-$lxhai(z1`>M;c}SwS~TAz>)Jr<(-@fqNd!p>Eja$rs*bxG
z{X`21IC36F#m*4_A25&?FO!6~+}vtx*nf>&Q%M3f@$`0S3miK#e&^*XgHNsrK~v8b
zU+q<9Rq38Q!DpqB|7AV{)?s4hhI14B4j^<*&2~iX(u)zU@hjGlhdw*Y1lZ`6YgJpy
zCia}~DAGmSp6pK+J@G+Dl*`qtvv3x>%*u@(#vVt;uqWD&#5iBnh6}mL6!bjw-pUR=
zz_NM-^J`_nb(jTx!}nrZ>&NjR4f+u*4S45CZ#cFMb!ej|Cy+D#$iBBH16eRDsi>2s
z9;e(0qb9K`GY&vD&C`*v`J-d6zx(MjwTwk82cXd7EfS`YP&DEY(hpuIrZkqkOeL#H
zEP5Y+)j+^4SyzOy7HgILQuBOzo2U+(vzW48dq4GZ{|A@#m%N^*qFMGQ{ajsd%7Hj=
zoBQB^X$){-CZ7}Ujt-Hj+|hJ7e!1d7x)))w!3<3z?`hqOWLjWXaR*j++!0O3pC6Ph
zF+|&P6jEBF@0G)mVZ;e<!LE};rg2)J=w)ws{g`_KeY#rSgTA-$$+O9ELFD#WqSX@^
z0ql4Lp$x{?wUQJ!whd|b*W><oH+$9eIbPj<;bx86mw}0~E_xy)Rec($#kbdIW?Qd;
z#G>P%<+Yg%ax;@T8zA?;`c&?-_pQ=~+J^-P4;(jU*m^B7vEE_V=%HdXZfUVuD!pD~
zeg*OlB;!Wkp9`LT$%bvOUT&h#$#1<Q7k<UfTI;#!9eM?9wHnnj@3YMyh-ZsjG9!Yi
zVI$}D#do8@AYy=}4B$pS`Tz+1<52{{ZQJk5IYqh4xpM8=RnRNhdXEELDqt4+baPpa
z`R>;aH22oNmo(MK8hkdp$$E4@DbNuAbK|`vCPp9)l5+$@%sq{x!Y~V1(kQ(qM;86&
z8eynO6Y^)#(5~e<M7I*xjiGkj4*xDNEb7(fwHPMVLZqpPNPM;!iLo?`%b=5L-DfVX
z*&eetm%)|<R%pb$+{mRDryIlRW}%OP9m^fxX!o5rRa>QtwqHO;OQiscMip(m`F_AZ
zR_Ih__Vb#!Mi#K%un@d-9xR_k)^MMNX4+vMTcBG;3W@k;7{}9q8tdy_Rax(kCYDcO
z-cd1W!Q}$bFkv~!te*frkNK<dt0Q186S)}OmS6V9ir(@2iHOi8C@!#nRUjBA8R#~i
z#$=D&t(1r9N|auT84p1tCOGWfthd^;crd7nqg$C(EP%iT2+ii}i1h%*wD`l3=_}2T
zjifBS9!h4~8qFMdj)dA;2Tw1rf3`U~yo)#{wcLOgqG|MMhxQvs92TU>{>PgG+%sE+
zu&gYv?*^Vadd;=rFncW8>HvXV-U<Ohq}O1rQlZV^VQ*5G-N+>~oWfF~oI55)f7e1O
z5mIxwAT5cbNZePEP4xgkDBc8c+ah4RzDNp~ga0@riVmwQFs9MO_Ty>201yM|&6aZJ
z&zTGbm{~+DV-p?>Q<)GWm*l=y+i=^_TrQ5QnKV?Z&2bL2F(P%^ke5#jYriS5%g3(H
zRENpfC8c2L(3@Bs%6BgDo)!%;sv~sE1XST?i;>f&LK}O2wn6s0&1JQ>nqJuoOXFBJ
zC`+1Sw4a`H#YX=y14`4Z^Ca&rx+y2Z7-Unz_+?+~uB5&G>*k-IqYdOsKeYtw(BT9=
zvgyMZr$R;*5%O&x4?(skhQL;FQ^g4*e33_GLzsF;re<aN0gC48X1*KyFx@OndR@vl
zV?&z6khMZ}s%0)%LJSeU&bz*H$mP~bAKz&1*_*ndf7~yyKLNyYi>-782ko!BY~a@a
z*QM6a@-dPrfn6d4C+M-ie7@M?w&nU_Zn8)o^4b-McYh!?H%Bue>Ym@L4E8^a=lptv
zg2SL%C=-rFiw;?jtFsu^EPWAJF9942r9l6YxQ%cGR-_000cfj{ugX<kiUfT>a9~rm
zdOBl+z?J3g(BSv`l~P|ex6LH*SomM9gaXUcIMF1F)TI}bz&6dU2*?b>R<D)r;Ipl9
zr}rJNe|f~LF4UO7|GWd9m*G^lt@#g+p5Tq-2oqxiH$aGDCa(i9i@{G{(Oi}^<@mzW
zfB<xwW0<-#s=5-$n*tS!afrXjR4(V4eegNgso+4A4K;~V0W|s*5MmuSyXC-mzXqVq
z`dft#xa-_e)SXuE2{!i~5L*7%<0TTI=m3Xo0#8q{RGQp}k6H*=v~j|ZCG*XFWphtP
zF~y=8ea2Fye=mu1^=lqu=MP(0i4ngBGLEhNYE{pvZ5nt-fO7QM{rXIqOp9)eQ|=dV
z;{Yd&<@xpm0ETyc_(oAvV;h$$msH1Wfl+)E-P4nV^CW@OrFC1kx6$SSmCN)Z%0uWc
ziQ9fI`bdPJ>HtsM2EcR^Quw$mx?iy^5!qo*fVyu#?tTJXCLM<#_XIrlw-s9$X)}?{
zYhW?^Ek{3ZA~i#kg}1iYXup1Vle;X$ELiB!+uQu<@S`2@aWu`l%Eyuk3n6?kQt1hO
z+5uo<TCOLUA-j!UKkIYa1q9B?02w}-qtoG<O|b%W68<>vp6B06t583A{rp@?14J?d
z+*6UO<&y#OCE!Z}X!+WDgc839pyF}nv{HjlmukwwxU^+d4;B!`HbN9s_@oybzDi{y
z_v}m-rR-=x**qtew2IfX@%9nE{xO&s5#U(?j>gL@&6r1ZOekjU0IIzLXwOxl@Cj8M
zTp+3&Qjr)HMw2DfEl9p#NEAOz+DJT1Y!_ihwea<?%TTgc+rY5^Z!x06!wmV>Syw_T
zZ=_aT=K9BpYeKgFQTHfX7g!9Pw(9Qf2B3khOKMEEd*^Gv)oB{H>fqAoG5)nEfWw7P
zKT|(<j0WI0j#Sm~)lLz`lV?A=Whl5v#7$_()izPBV*v8cj)s8Y5XKFrvgJ;co{snV
z;^01mqoiiH{z9QJ9#Bq}hE6Kr4t!~-h@nx{y}*k3Ob7RK-tDRI__Ce42iBE;bOdH)
ztP#T1%R=pQVyD(FJR_2UBt=nf>6gLC=F5pxD_`drq+qk=+fDmWq9B^}0<!x)88%bJ
z91J7r*zNLEuzw0(rCr?UAuM1KNn;G}FiAhk=!(w5LV)B@J9ihU5aKL;aL@~hYI6NT
zV}-qOPVty`QRq-M(i31nzmq<E&v_T=PaX%r@JVtPA@rtx`jbA_SDZZZEe4t2)k;)_
znHN*v$L~NW7`>d<SgCwN6HAAoDr~Ru04bM~5`oh)5njDeg@u{Un46LKY3;~VIJ8f{
zrz2PcKVF%kopZjcD}+)v!HL`UMZccS1+ceV8NA%h23pLqs=+1!qB)|S!w+?BbpI8R
z=;(wr`6$idl}(n>Z?NGX;Lg_0T1jDU5C@<4skx=1?1g0g8!$KUwAv>)F6ha!{aErb
zS+UK*YuGava}llQlk&hZ?eO{~83pzj<Yih;QmgnXJ+$O_J&pUSp{iw*Xzcqda8%cp
zaF5Haa$ob(%OdE1#t08J-2o_+tKi2G_f3mIqb)91;CvPOoF@Id&?yGoj$(C9<pNsv
z%`XHs3D9UqeEEX>Rp8vk%%(^*6}h`I^Ls)0exiej2T4RZCw7?i6RHOQG*NN%W3)`P
z1Ent27t<y%_cT5Xy~-n&TqGtqqS0sNz;`<YoX=*;xj{4E4p8Y_@k%Z<0<)0BkTrp~
zvCObdz(3dbRJMjq@54w=PP`mddYG})ShgTO_LrMoq0YpS=NITxQw3pOH2F@wdhBNX
zsMzDSbWvY{faK^T%I1{h&?dNrk)UyolgbwM;Z;6T<XhkdF0)eC#SDX4AW0i-rs!}r
z%*I)i2>e43i+V8wmJDi5`&Mbf{L6sFXEqQMoeR~X41iiJ^Jw90j~~Z0x!!Vr64}rl
zSf<f#ai#6}Eq1l_MH-SViF1z?v-Do0{Ipvl_IQPKBr`LmvxU=YjKp-iHrwa0r8jQ!
z(B>2H1=qrP^Hk|Ip^L)$H3Mam@Ko_iS?T_+YiB6)4jicifR~R9PTwJp2qtTqQ^e*&
zUf)JARplv<ppBr|&Ne)|cCJY{`NE!@kcGJeJofz;GVip1|6KC#XbUUs!5Lt;n{2Wg
zkACqcSz`$}l<S%*FOp%PWYIHCPDVa7Jt+J=x((LPr>2ZbuG8G)0tS}9swvab-WdoD
znYWt{V%hh~v$hn14dgDfy{Z?<cal_-&i`A8lalXnV~|E!^^^jQOeoFQiy49*nT5})
z&u=k=Lq<kMKn4-O3hQNQEtKs~lt}aalF+>8W#tx!&tZP|MdE3E04bX{(I7pJft4Sf
zmZ3MT>0Y7$EE#bQ0$BiXy}L*r0SCX+MtJcJP<T%T_t}~H$!eGwR)5$&DL4i`Vkcl!
zAK52jNrhsqaT#~Qn9>2KVL^=QMpsOk0k9)p5jDB2^<Q@3y`t!i!yV^M|58sYalQp~
z$MBf~>Npq2%iXUlWfX||uRj|jEPHQ4yC+am$RBmkoq7YvO@L<pIov3EBZRL>@SZ7p
zHxBphgh%x5aTNybT68D&a3+-`=Na)*iOO3u<H^Q|%W=XJQ$tfj9BB#Drgy{3N^<*L
z&}zS52Yh#R4yYUe&o*<+YAX-;l9t!am=n|+y}rO@j2bcW|NYXwOHBz9tW}U40z*bR
z*?Kl6xE?zZB3ca`>j(tL?^TOXJ`~rkJD(<|5ujJloHk4;t<kt*x#3?@DTy3*`&ure
znnXdY<v2{|<lV`XHVn6l%%O7Hg!frxN?T*u2X`&f<gb(PN9?NGEPsxJK+PE?8O$P|
zwmR_9oKI^RDQ0p?gnct_#w&<Z4ChyS!j&Bw-M_(<jqu4ohG3E7mS@cQGz)mit)|cV
z#j#vFMF)(!uiot_9fzHo_S{q(b%>191iOa&bo@FLG-b%J3YQM+P0Pell*4jH_9T5o
zcvR35c}3xWWv~saqy=v>L{RxA6qTiSBrq)N0ajVhVxpj6qYQ_eNqs53#gkD+Gy`!1
zp#yEpQnrGiQ3l938FoK)L;1=0yTl#%Gwi*kjt<(8^u>UDXiq`zAPR9(IEIY8j{8dn
z^x7Sw6E}8IWqD%(`PVn+l;uc|hQ|Ya=@imBd&Zw)bUB-0*SoAi%k{Tl{We!#(m|>%
zbyWq-H`sM_CFPvxWX9I;S?{wZO0VMtqsVa(b_0I?pbRB>bMfH9Mzw9-a3=&IhpzZ|
z=Kkj$#t{o(aSOZH-n`GBzMfEB>JEN#hVM^YPiy<N)Me3o>m(VUk<IMu3vLX<hHQbC
zRP7+LwoScQUAQhJC*rOdw&l#%K)|McQ+<x_Z8c@lYfeM>TWWI3iUrtas_FR!kuRc*
z5WEalWY&24#|aXL+p*c$xX1`HqQC^lkP+KlMU)K~r7R!A9OK859?{&O+E-atKWaLT
ziVuKgn<vv>%?^^4{t)zoJFEkE0eMX}(F>kO6%gGcj&uEVEdwzKAuT#IlLEV|q0rEX
zj(KaWt--`lWQB>Tk~>-A3Q_*(H?%L(idM?R>T5Ak(G74&@j4P`L7Z%`Di3MO2?CIS
z3%i?OEJKc&0P@I4Ccg_+2d2K!jIVxvqFIP!ej}6CuZum;UQFpPCDA!dQNOjS^db9P
zm*=ZE{8(#=1<k;^H0w`yP;oKv2PU|F#FZqIwx5XCuWiMZhGO{;B59dJ&W?<*xeE;d
zGXr8cv2n55CQ{F#1&>WzdBSh%AHVsu9ewh>6>gMSz@E-@<X0>ohne{%W3@mce?Idq
zHv=cOY$)66`-|yG%vM2_Z2q%~^bX+tW*^+9P7vKVeJ(rUzk!Egc5h<0`h;gyhma8i
z0WPaL>K-=~k4#gkVAa5sZ<C6~oDz;zz;ET8kbSJ?)|us)YULo<48DUX1jodcUG2O%
zdqUYTkjCe1l+RlYYHr<rYHG#_6JsKP+qB?8{Df3nFeH9pFPb>q-1@B+KADkg<c}W|
z<c5|)E9WEx?$j9dd16v;hR-YDXf<SlpSw&rt(Wy+tp>U`Pm1b3clp-5Bb3+c*mj`_
z73KIq@Ws52I(r59V80!6v|)C0G%|_8vc97)FsYM8i!ar;{B~dP>?iwFz!u4d&Ee|%
zBCX1~==ZUjH8jgseMJ7ge(vQ2K8=nlVhE}<0Uq7Y5>4q07w@W}iq!?2$@4X#6(^dD
zbqttHe7|U!5*(?HROWG8lVPQWhz6p>I06T~*0yU_@1>U}lDRp)9i+KjZH*GZMnrKu
zai<y+VuFRWYn_f-#OkrbZ5wQOD&)a0ML;3OTLFvCNo7nov6gOz_XHjmmE=XkVCV|W
z<BM&9xidb~IkT)#wU+PR&(h;LSt_ib(^YZE^)<J4z4;YA&>!TzWIUc;gKN`%8g+8X
zxsv98;(JVxDUX_E!j{1vk7KgXEtcS&RYAbiY4G3=9Yl;wL>!NJY6&BXa^%Bp$=>%Q
zTOD<@pv=qO>-g$8Zkfdrh0a7RHEpeO0wrP$#%--Rn;y?#s1#0<lvRN9xx^{8=_X7E
z+(&M@Iiv$y_p+9tDv4j|?Ec<SEek?zQ7Z|Mr(6PO0LNS9!@V|W;DCn;9rIr{V@}Jx
z`Y50txPuVY1ZC1b?VWS*qd0GL{#r}+=2J!PJB^QtFj9Mg?r;&@=sFOE&6*c%iG+jR
zWCU(!b@PS8b=<Z@o8u-+%fXzEjCWXcbjX7>p<e_yp?;<O_mv9!sTDF@$|O?8S^2$O
z@Nbv6IBttRK~W#$waGftOF+ddeUS4?!laYg)5Fi{6eWM@T$1Sa&quaPz`l!0dp^!$
zt~AEham%U2L3J&+<D0hC;I^e?FEW|e%8oc;p<V84p<6o`(UD{qjEz?4>XdIm8&CFo
z7&Vi|G0OkRkO1=QY&^}GL;hngcpYUMUlrl@p?O8apo$OSPJ*wPHAYsQxihAiO${~7
z^NDcXLh0vkzND|03~22k5=`YpYQ8v^-FD7zZ+>t}7g5%fUPU}M6G}p+zipgz!<^;O
z@)^5z^%mhk7{s%%e$|K58-Z9L^lX^mO_pg8fn-AeNN(hdn)$w6v`OP*N`iip#CH?@
z{9}n;L2sOV5u^+L5ZzeO8<#9l*PKD5`^dQsx@=J*TpJFt#3p)%%xRb?*4oktT#fUp
zuobrW-s4YHoHo}ai=Ta|7way2n;E`vx+_=8Bq6;Ty0Lv^%{6@8l}C{1pWT5p5vv`V
zW^IkpfV?P~$ikQ~smS-Wmt7~~1g`uALj7<EXB{gok+Ulsya!D|wY^0Qu6*v?O@?Ve
zMuMouhpnDlaXHGIr;ktIp9&dwWSFLf3#NSyw|qkrzGzycykW?M-2@Mn@tgK4SYT!9
zyN$<SAv83|HN99{I&6bRzjzTA`azOh*Y%Wm3*Vu=&UYY!FEFdYPO@&hy7Vw?j7tQ9
z!`TiUt{s>|h_>zE)9s>SX_sI^6UfpExS00tT!DWUjiMS_K|<%Y2+b*Kpph=fXtc}0
z&6a%b5uI`C6XOsKTnovG6CtMETGAOb>rd`j2>jhycX&)c08JN`qvpyfSc{vci0jsu
zlIWvTBg-kt^Nm;B)TVYq%ykmFWU&v?#F}B_upbrY71%?CIf0=FI7yzJq9IKY#>dX~
zCeSVltj?hPo@Vm~V=xfo>WGl^1GgncAxaqP42n*<N+n&*oSUZkEBJkEoJti^k+{jy
zhF}Rz^u(ejm#KtIS_o0{;3(|((rsV)0y@acj1x)TrS6|&L7I!S6XaQE`m|`z3aUed
zA9KaDbhf6aK?XSWwD_>C<jBv$AYX?^p2^~nl5sw!{!Ft9-DjCEWsWmP<oOoklDuK>
zF0H^R6l2*!*e+})UaKD<kGeHop_BNC{9Jb%MS9()y>2LtdwoRQ3`(!#V62%anJV)N
zt6nC$SBTNQF}yZa<|ubCUY}MXq($*gQ^dY0We=HrGbQRel8IZ%KpQn^C+a{cbM-bX
zaq^eEd!RP5k`Lv(6ffyBX=TptZOMX+*U)^o&rt-1N|quGKGV-r<qG5q1iU+=pcX+a
zX+*eXR6Mq>m-fKLq$88O*S4=EI|Kp`4sc{;`g>!$D2x7SQOv?U%sub9n)q8%7irE^
zM)nDdDcuTA#wYGOD?k5AhD<c?eU4a(jTN~G`@sk{0MkrGQ2JJ{h9*pn6>K$$Wn0Yz
zL-`_7%`H9sJxS9GjG{9<KEi(H_zBz7t`}yaqCp&L9{aR)@JM4)K^%S}_Bc`UoK~a^
zZnW_!vhZ~GSN<)uesB1-)LQtIKFI2Kzc8~x{9w>~7t<^(E<^XB{`15j8#fhsYI{DS
zc7CL~=AGu#nTWwtm|x<8Hf%DJ6GN_=5RIi330$=TfmSUd+^YwHn4)HPLqN^~sSgo<
zr;_MB&SLN}saBo7c|}}qQcyN4*oMlm2ZCvQFQj@}tM}4(^jRCOQ^QjuLel~H(CdfI
zSmp95-BX;{M7@@kpWY{?+|rU#k9Mu8$ErU|YUKIH3629uN})-9x)fv5n|C3USoM-O
zcol+BA<d%YDa%zZlYL0Jq@2kXzFIc$Z#@>o@)@I{PQZ0gAJC7!|BhUq<tnqWn02Zk
zK$eK#*v%R;;%&8=n5^6oH{+|I2AD}}1f6vW-sE}i=El^?NW|Q_X0O=voaNRL`((<o
zy_fsx!oCIZ(l?na6Ky@!Xn<NEd>g#cv{5Ic56vQ_d$N2+sCN3o`s-`K47wYWXD~4$
z^qwbAD2p1K;u7`hSVr4<o}r7_Gxke_lu7DdGI9x82{a!q(J;S%4IC8&q`XU`##yhc
zdGv=aExWDjIYj|8WF*CMe|^A<X%k0;tEz7EyPVmhnp=zn8&%&l&Ckw^@QwCIBbFS6
z;S88gyrNi_%N8hHW4!V(<&q)zm89QCs6;$wK*%-YS&WH3d@rN0Qo!rVnjqJk-WIu>
znGDE+_3GNZ;{pL!bkDb@-C%>URp}Ay`9$Be_n((Bl?0graZB}@SaZ~in_QU*ZfzbZ
zVR4~Z6}hm9z2$TqJL|uz72<-74mm3aIB#T?LM@n<oi)D5+mPNB7pkaDloFVrLj)C4
zwz0d}9}TS2ywYOakpR1*c57Qv_vouWY&=%%u>ajzuD+V330%%gKY|v`tVJ584w(@D
zm~;DgHe-up7f>cxwI4HC*{K4C0)~%$H?XiLMxKxj5P!g7<xYuB*K>x^{;3Pw|8@o^
z;2V7{#BB7V`6G7jA9E=tnjv<Cbemc5%<PAzy(!$7w5yowKl1eb7+ZgVXshFf8C<X1
zmpEjuRy#wpP3_>Yq!vGmeg?}IBTpM+2%V^Yc;qg~9U!w)5ng;SZ6-bA^P__pSP=7~
zwx<>6SRg@ZjCm;uM%Sh6=`P861qFL)I=MAP7}`OUF5XPt8huj~V{J00M<)1@tb8p8
zO+8n-K=^F*voxv$1cI(OXd}EVYn0<UqErXp_c=3Lbr1T7p*~NsQ(pw!B#%WBJdIG;
z#QL7z9mUI7akMI^Vt<Z28^s1*E=;}f%xbT;YimO7dcs*9yZAsH?N(;3D7H_<3x>qW
z8Kj73?#;?G*6#rUG0JC^(Rhdy`+I&-H?!SL4P`&cmSGezANnU20W?dJf+GHCh9~!g
zDOCLkh^M{G@vufiro^uv8~)Hosi&io@L)BbAYTj7HY1>lVu#W=-%Y1Uk4@=4bFo{o
zYiKX#3!n@$NK0(A;v=kNmsm`p<0;P3am12lPq9Af%G)Z%n)eYxMtx&u1Hxxfm<MTk
z*8_trt601wQ{*}dJ>7W^F6xrV35{a!^d1;0ti5uiD<z6zXrH8vdJXgU((u)x!t<`_
zQlWuxzZ&>$U%}QV(&#&+bYmaPg;rZM(=9Lv1TK>?Hu30x>edU7uvl7T{iyEU@3;3e
ziyDZBi46QM#4!_@_QFyaf!?GBIz2yjc&xwLLmNUNI|xgB8$IJ66O2#8ejS&#qF%pY
z=pN2&O}inggU2<@c|7?;-khA-3@PC;T$l;o9Fe!oj&mbgcbZ<pRpwBeEDruX9{NiT
z`dN<f2#Iy}iJF6ET1v{=92Y6$!tNA5UZoee9szxY{R&nHB%YXiX4;jeoLg)rreRx*
zHZtLZV+J#;>tFJo!@E)|yT-6}yi68~cAJeD+=R(a3F3a=;YI~Nr;1MgK8<L4r41<5
z_6LPZdjj-CJtp16?b`ws(&(QjA8PywqSi=_p)dz06DHg2<Ea<P8ONAtp#*1gk=}z5
z=1GY*ss!AcQONu)e5)y8)%<P8aVsfiqY*E|YlSkHXEiLbjt#9~k_u#=Wk2&QjM`b?
zu%nY1ktup@&Gu0;2jj8TV4RA2F^w8)j*L73wsEG9uOB2FC!T-vySjFftCNC>YItF7
zT1I~y(<a+5Mm-%`78-}3<XEXOF~}xSbYyHwE^iV0Z%l0RY3P$xB=d6;X^L1Bhps5$
zj0)g@zOp9lQqH%r_6(IU(<B9HCD(v<2l-xF!M%mBg8Dc?f0{%@oj(?`O)Cx*3}3tP
z#7*>hdWi~YoogDi$Yh$<!tf8ARJpr5+pp&Pklm3C@5go{vN{~$nKFKmCEqhN?54HC
z!A*JDj*!5Vp|&6WLb#e`^O+uF(Zqa~Bcw)3l4FO+;kMLgVXLb584>*oZRaqX6ww*4
z3JOnOfZ^>XgfbyMKri|H!@~{xAQv8gPEX|mI-Bu{k`kjab+U?&S+j4;6^gqcT7cb>
zHEHhc%UHdlemKgzUsfZxVK~koDlQ|4ro~g-mRA$x(!$}z5}hIEQ}jpcjGUn-hJUpF
zCcp<mY%)J48qT=&Dl#52ct*)Sk%l`U^eUykk2(CTT^qT(6@$=?<C;PBfpEkO=N{`e
zUAnC|DN~^P1qV3(Yp`V|MXl<L*X{sArdIM0xSi~PA2G5so#3;(SMgpQ@*`p+o26%h
zd)v;8j>+nW(J3_bW~wI1Lv1-KXu)wFL?-*Na~qz|6n>_$6cni>_GAu8fQN&!#EYLu
z9;O=^{f`+Cyr+4ewZ{V8OxlO2Jr0GfaeL;YT>}@hGs&D`mWllHgV*OqQ%bqGAv^wL
zABi9ami*#w#$=x<s@6mWamvCrDwD5i9@hqF01JllC5M7XiHW?eo{$H(4Hn7#@DHRl
zk2_g)$alS{5u2K=iUjeWs<kvfnc`4t)ekSq+x?O=QOdzpMf*F9NhRtiqAAu6L=#Fm
z99PC()fPS#NKeipB~$2NLf(qu7?hytOgVq3Wzp1J$@NaZs)Z?V4uQXS>e@!j@d@_&
z?K^~W3VDVfU`B6g#bU!0y=R_H8F7fKeB`z@&Xm2>H_oKP@5<n|>Grs7p_$x(M-RZN
zkQ9GdfmMt+Xf*tQUpRGep~`{S8*G4;vp&cuV4<6}fw=E_exx#*$cr}`x8@%K`73S%
zfj{@|@Y7KWH2R*PW|TjvP-RW+bkCOca^ApmA((m=#0&WqWI0_g%g54H96`j2|4kz4
zU4INI6DiI@F?%4YZyrMVHUc2M9U-HV@PB!iu&#~1*~_oM40fwpKCNz(V|2f9J&Vm(
z>zowm#<}X)O{7vD!4k5ya8Ryd03Ot$gsSU!r3Z56KHFeJ!j&K=lJ3down>1KN1mR~
zk@||*yOS43d=?Vq(qC)f_q1C)iDA6~BM~}^EJ$<#7%sp(<KCQ{B;g2lVY5=pn!6sT
zP>+a*ZmJ(3f5Ld@Q#KR)la>U-)C-Q^W!mq{dp7R<U{_abz#`4{-Xv6d(m3EljxIyo
zSM9|R)SyNAuVr%%dnXUM;#avgQ0xFPAHZU?1}rK}#P1)qN_|GbB8G&_U4QDD|C}}K
zRZjefX*>@TDev;Zr8}di@%Hq&k2(#Ya*7ck3mtdDTdUuNsCW(T#|7NFp+9d)V5V?P
zev2+(4Z`}jFN+dnEp!2ubBw6#i++vqbHJNR7@`*DdsG;`sznC|UycDh(tizp8RLoW
zQ^GA0c+!zUlM#2ovR!Q6p0`8)>B<`mhEIQEEGX+_o&tDY<*3To+y`g-_2ar{@qo!c
zhFVg+3#bcW0htKS!zb+}2zNtLTXZ(LXQ1@>W27*>B9Lmp-veS%>-10bet>=eGIx4-
zp2VPSEC?IVRQV90KFpQdpK~Q_{OOh~D40Rza~CCEDOue{7MGB)+eFKE5^y3hTC)A~
zpMFR@hgx25Wz`HFa|cd}IJKVi17ZfHVWAA>T^;*sjNswt<HtzO7upQi#yd0_V7^!p
zn71BC;Ic!J_rM=NzCmW-5gkxYq;UuNK0ErnAJ(NDht1HpF9LT_;r-`ixr^QDR91tb
z-5NkABlDOs0lr>Dw_kKhSu=nLt$*~A`nlLFgWoh3ZXJj#kT{$J4?*8}O1Tg*NFh-A
z<j)-?ysWQN#21J`JH*A``({d_A2OhC&I~D*uGXm!(Q!YI0}T0*fT%f?rM69HHmkGG
zwDJC8-0yGQ!WpAc6=HcX;-)Y5VOjy-@geZ^s}7K09{7A9v<HIc<3kmw>xV|k){gEe
z{u|}yfPKJ*lqU*FO);p@s??S82J9O_u7tCVVd+-<J}X5+*a;AXuG<VBZprW3QOt4a
zCj<-<pWU*OZRz|FkHh&NfH44aH|)@z#wt@Mad``%9Y6Pf)PvY6h;<qt5dZiM{6@e9
zEPS(FfQU*UrnQK3{8wrPh+^lvjqA36!0^lC<t}{#K$-;POc6kVOp=@!1>CwFI%kkQ
z;<WIw(P^n&v;X(a#o9>KUe%|u2o;KGgxiMz`Q%KJ$tWZLB?*GdFkuWThVgiCvW?7o
zKhB!(TmhgZ?3Co@aF{(N=BMV@<mo@pd;S)LmATYnLDGQR40Pe+%cWO9N_TS9rE5II
z?3di96y3JQc#a+`!J^0((H1}OPn*R%jiNKglLekly}(3D61Iv@6t;Tj%+nc|Y^jz8
z@)^js7>Ms!bQ{8W`V>Bu0oo?$>9g0pVVEGjfP~W=N#d+|8~De&I!6I*?I&Pnfk@sU
zSdM}B!<l^5<*tlw4>S-Y5m<5_u#jE;Li(xfHJ2o6o(9#v-|$~F+G_OVNrq$D{{rb5
zG%1C~BbYj$JRIC?084_vL5P0FjlfM3gwbLEM<%=j5WESpc%EHoJ;>j>^nh3*jZ1xA
zQLp=N!fBUT>7pf@E}3FMM$spS*JoRqQWrC}#pfV6_TU2v=lA8cpJ4}KEPD}F4*wVp
zSHSGVD%YM*QM-P~HWE8VzA6QTibwY+&IaAavu;FAFWXkka65+{D{#kb8&5W*D@ij#
zF^U0uV!?B1CDH6_qkJl>5SLT?HQio(_?B(1$m<4UUOc6~2g(u;EE~`J{gw*9uL>I$
z;}&xgVvz$CoF{1$faY+-^IgBkZ|rKN=AdQ;r0EQZw}9jZw<IJc`ZT41k6Is+TYepW
zBDArP{SJcsKad10b0Pps6eDni4g(|l{qLaPz9U|0kGskNuSB}Win+x8dXVb9eTs73
zTPRQ)`Bh#-m~p%jMq3R}2G9AGc1l6K38E)epNag$K!>JFb6nHhHIT+*U!f}Rc#&38
zwt+Mh5A2WJGSOUF9ET3t0AceZa(a?mz%pRq;@&r(#PayW>bQOs4V}LE)*xiOGDZ_H
zi<p-oy0xa(_X??=rkfRhHa!*))G(270>PoI#ckoC6n;@>k;xADi17}MV`c4&)?a6O
zSRsRjS5Y(=3O-6_Tb!pRYDJQr!f*p*KKmeYwQhJf^aBD*^k&mJ$MBgNeH^b(%&5!*
z9qq1|HPQ7r4Wxp_2A1=Kv>%v{AVg%3l4d7ITZ6<6><To`ifWWAnShWyh%XMslSrjZ
zVbAN0)cTmW9Xd!H`x=%p>SAL~jfuUYCBL`!#c;;R;6|2B25Y!&^H~-_P8C=cwuw(k
zi)e75!z<9SAuf8jo!Tw-H6m_ncCc;kh6;znUmCA%<UX;VlBwCJ3BYpzh7?iq8H9bm
z4qF_nu}Z6&Y%8@DES&6oIRItGfB^#-)(=csqBC{P7A%>!!asq);NtGgd4$t%)ZM$T
zTZ4rVD#m^QsSHIL!={pL1+D%DsUS0OapK7J2TOpIv0Mc6j&%?4U;F@RS;8O~6(fhP
zdG~!eXCBqcd-3;|B;SY^q|HXsGq8)@WPO{(%<CJv8nzn9s4{a0D=G!Q&Eab4W4==X
zRM^UJcXaY_w{c<o=`PlA^eHBtS>y-un?1=CAn`P8RiLh6%S`9=xEGKQvX^V1nwU-M
zaG<P9Qc#4bi}i-(;RIc~DKH@@1sTKM3OFx!!pPwo6~e+l?p2Np)*5YqoYVJIXkJ7^
z`wHt#al(`X%(iDRG85%j>8CXKkQ6d`D}k5;Y|a|ube|L}f<|o4lJlzWG>Pw$OhmvS
zdT(_up^HJE=SEa~)Q$KpXRgJqq{De8Gl}<9>oI*1*GJ4C#KG`VIy7T)|67->oq8Ht
zfkYcOl2%L=Bb%>C6ek^=kuhAsE?<8G33Q^iYx@eBS-S>iANa{#ORdIg#n=mpc)Wea
zL>yRe((@wA!rdpdsZ3{LjZaqlFyj~f`*M0XmS4A=$fI`OLSoWOqF09rgUSIZ2j#mL
z$s`$IjyxB`Cn5Zj{;i?Kx~x#8AiX!dWjjBz3NRahjK7$3>WEHMNS%~{8J~YvlJ&;z
zu=@#{g4u_5^I#8@0;u9-PGk-*J{svGNl!KGo%}&<4nV)mfw&c4OjiS(0*T-HEl0fJ
z&clDw+NAvgkHp(G8NsG8H85NCyaDn{0~>%wODy^j?9ltO+<OwBcr)bjLsdVra#&RX
zzy#Q-TaDihGpmGNk02i4$VEq((S<*q5`4khvM59J*w9Ter4jkq#Z|8CXxiy(DQ27Y
zQePN`F~C^oXH-<ecXE4Qpk(+Nk}f2bZ&lg>FrhiTxWj{Xoo<ePa@~+SibS^zSD2Cn
zj?KwJ6>Nv+t;|5}IsB-jt=^J6QWR)|C_{GU7MkO&Mrg}mhN0o~+3r|vMtn4}V^eJ(
zwJlhT+DY_*_Ny~}Ljq15=T;Y2`rG&UI$3GsmU!7cy-J)Th1{(n5X|5f$=0aX75D}-
zfOrXLbiLAq`H^HCroAA@cid0xBx!U?_qbA}&U_H!wpkOOz(-rGIt0|-@kx;BRwdUM
ze*s_zTq&uRIngadLZ#r-(BxbzQ@L%c!t$~66pkk=bsKj<8k^Jfd)zbZE0y}kTmlxl
zrf~eLfe>+el<bsOkD46j`ZFWfTKQq$D879F72jwKt1K1G3|7A&6+soh?n>^koAJH-
zG;&iB<T#kq+d60Hdm`n(7nyszSKV=`6|y}Elx}7Hm;jT&Vm$%x@BEiSOsp4gytDwu
ze_6J*W{WOE!1}&wlETeKy$M<GdQI#jkUfB*s14YG09W;Ur|zkez|C~QAgsOqxv-V4
zJZ38iM|QQP;9{)~Jvfj;WFLWPDpGkWBO{_2u$JC~7Wc)VaBD^8yecRH$!Qg^64J)<
zJ5B+T@*PTgb~l7!a5GbDb`6ml@WGS#1iU_D^{c9E4`|q7w!uVn`fI)GGsK${R6mD>
zkJClB5~-CFr3#!%GOjjXgPgr{XNuxS)frdQ(UKzK(2p)ESgpTeD+_T*67d9@h-k0v
z#?Cmf#^5>`aNa?<6pW=9jgi<Bv)jk0V}(|!<6vUY#d?;0Z_S8?dziGO#2zGAPk^-9
zcRn?M3<C1QIL@di<_r|a=i48$3<0o^(QbA&(HcgP--H%$;`g=BWnr%rsbs%UCBl@6
z511&m`(A}s43%Q!-US2*bDOUS`w&!4sBZdhJOcGWE)F7*;a;ZW$H9T%&cMd4+gbmZ
z56ysyW0T5Xi8mro(4~ND>gWp6^MJmo4L};SRQmi@IMm)=0vn^u7au-)NVRZ#VKWPf
zE_yd8VKPiC0s$~W*#VCTiVIh&GI3@NxO5uQC6^@GGSDG4oo}6Ot#mp)7Ri+Xl${Ak
ztvU8-=MQA_?x2alhLJ?Y>SMnHQR&#w4|!77spsE5*UxX0)fiuc{8;nPGXsxkzot&c
zo1Cr>qB2t@TOqtLikm1EvXqTvjLzT|SYUud#>@luQuMBQuRx29+XTdJR+<}|Y4agX
zZ<?<^2zN~<KvoMR&6HX7L72BQo!U(XD}kd>uHTrpQcSOqNy7ik<bqIG9#!odo6~H=
zAeRY4B-XRk$tC~$*W*KI^3MkqGb5|Axox=<DSEB%vdSx$f84fg>mukEY_^lZd7yiO
z$G+~UujLM8@T2>BjiJjU$9^kFj&sP^bn7(9Mkn?peQ&occH*q`j-xm>nccDJmG&nJ
zq(NTatIPet5IVr^s%0(Ws{z`F!>s=WiUr7J_6DR-?^kEzQS(vImvwVli8pcu&=)tW
zk!<ZZyG%aor78uiE$djtgg>aKa5o3~Lewx@26G}|5*DjPX5EUZ0CTiu&Q0OSI7gaj
z?rl1`?_`<@okehp6)$n(Nm~WZ6yrcF`H@Aq($Eb+G__S(g$nXSW5*%B9~bLvFrT%h
zR{&E(c-|$gR!yQrDO>vu*UMdX<{BJ%O2ku2zEkrm<k#?W?<#QWN0;Y{R2J;?Jt`^y
zKP@q$f{I_I0q}Qvms#lS`%0L^?4VY}0zT+Zc5-|UYq`42yO4^TI%$1;B?**Uf40Lc
z9YEkI1BiH1e+Stpc}SbNQ@rci)W^<ziL3pxrFf(pq26k|{ouo#cJ2&FzNT|EF>gi-
ztXE`+O#a}ApY-AmP=p60)A*bW#XV^=2&OxCCQ#7<`c8g?v69WT)w-%MW$u;TCRW>%
zhBG|)V*t>TRisJ#WE<`4fFb!qwMZ^l!vy@|l0SbJ04|$h7LS^O3Aa-*VCw?A!)V*_
z(4g%V&!=$LI+o0Yvx>0{o+o^adaCt`O#LK31yX6AsL2(4oZYr(=LYcSJfyLWMbM5j
z{7rVOWAn=69A&p565S&I`#X1guR;!3m%##u2s{=!PxR#Bo(^Ck*;TcK;0j&J&+y%1
z$aGHdY<}-L(R7dd=)Thp6|#Ps#OtP&Mo-j<Ynes?IiMf88AT-Xf*BW%{GzxAvdIf{
z8v$Y$=AVcLCg*V3bPB710APa!tS5CwU-7?mDQMO|Lydus;v0PfyIDAy@Ds!$Ms-aq
zX=<7|cA#*%B-r$gP$pr1xDx+L5Mb<TR_Uj&q0F-%!Ii%DdaV6nt^Y<7mA_w_U7FoO
zo1>G}v(%U*e`Pj<CV2^o?mOh(_cKD@sK^m8miqY3rs1rdCw3%-9Tr;&;bWTco4thC
z_q_s7as)w=!f?{Fo|t24GH>%xbW$%7$kMm=PDb3Wx)noi##y!lo@6MG%udoN&D;qu
zK&b}3&LSq>fB_-j9LJ%lT^pv_hZ%hF4J7jm;pe`-Bz%pF7s5p!7+uW~u%BAvlLIU%
ziKoIzsOc)s!z@k5O(2iGKlUXcmIH@Mx^|$~{yrRnXjCL=<mep~<c(1?#vjb5_eLqP
zUy?XxKZLR3B+$K&yAWB{aN)MmEZ@UK_bDr|Nfg0E{KOY*stxJnjN!U!-CVZ*s=p6W
zaN;AAF8*@jLcJ9=h~3wVxY6D4RR0+R#W|)Z*J8Ef*Lc<W&%75xCr^uV!i5nlut!!w
z(AgwxSvB8`C}OR3Uqi+$4O2C1!`F2vvC4TilcJ=qj?$25dQG!GV3S}QuzoT1dKojw
zp2)!%$gu^p^CAl4-MpMJFYGdvn3_zFYM11D{3~`s?-l1IHk~tUzVhdw!Gd>ti%Cpc
zF>l`kQ`9f=>FW<bbF94XW$q!jS%nq91q`^yvcp~*IOIa-R}{+%oC1L$!7-Gq_~3zg
z{-!Z%4fVqovm?T)o%(H8e}^7O^Y~@3gR*5hUQ|x7kw^lofcDDA(esL*C5V+SrgJ^W
zeTP-R8$>F44c1lfhQ1-g61pidJX3^0_65@(RbEHCzuFhM^YpB1BSa8Q<s`p$M-(~(
z5?8+XFsF4YbXkqpQTj-k8g|e2blndzRUdC!9y}rw$@0+BcX>ozpH<hB$3i>Hg=|LP
zh-x$s6ud%_*RO-7$~&^RHR=P7t)|^rZ&Nx`m0>*Te31fzJA9efW_(9aJDQ(rAB`K0
zWxK&kv7T+sGpKq$jurz{K(^*(xL4|dSW!x3TpwRF2PVjM1Ec=`>F%wgs{EopPEtUT
z6p&C*1O%i6B%~xnLQs+Jk_KszMnEJ5q)S@5rAtb>q`O<Xq-J0Iz3<H5vu6I7S&O9$
zz4y7#J<mD&?6dcGf3{aVQu^I%7#BQecIDr`;}i=Q^67NH`&{cq;+Lc(P1-`t(|IfS
zRxPiO;i%blT;dA!_t&KIth-nEE}?>RKM~}*k`!MMl3{@dj}(dh*y<uA3yq_84CCy$
z7g#ka{C3*q51U$~K2Zj(>0%;^;vn#?Bg{0Pd%Uc)5JcOm*!m#ZhW|;$5RE!|8W&}p
zHQ!x6_I<Q%h4R_tF#gCX+8g@jV2AYWvEChAll%+LB%31YAnC)*2T&6$G=jxy?@g+;
zLaZRhDid?K=GB+r@8iza>O8vQptI4!c<p*Rll*gC-N_c|#Hn9j#;hM%>ro>4<dTMD
zP|y1K%N(kGNGy4^^jtAul%Uh~=GXo2*dJ<I0x2IhATIBY*>vv<>7iQO^}kN^0f%uA
zNn25~>Z_<F@u|C+-ye?$k;P}G#g$WO2b3}e4+H-z(oL0d=dq4TT4<!=bi*1a`Ieec
z*Y@mCt@4ErH|4wHYXhcMMjfGeT;ZZndy0s65Fy7|Z(RNqCbc`7sI+BtD_rx{R{g#|
zBm#Hm_$QKlJhm`4jo;5P1t1iw;5C>AODjf2XSC(strs+?#90k}pnjs&(@be0wgF&>
zQGZkvuP!#+!((4o!3T%G1ATuhB0dHWSp-S_?^3KqOGZPMw!-Tuj+`6Xv#hH3VsyRd
zr=#Q*N5{U<`=Dar=%ry28CZ}+gcsOS?yN4({7z^@`#e(NUOKVS5T;@Dn4T-*l_gS(
zMcw&3dA~sBdo2kOo!$W>`~8w(lI~&>IS*v-f6@vndlPbe!4rY`EHn@`hk>2FOfg@>
zRAL*BTs?6-1Af6c1;w|FlIMx2QKld^e&ACqDG`G-PP@EDC4`k?`w|~}w?Gr?lQo6Q
zexC$MObFNRR4dak=#{hWD1J3rQ9S7_)afU9UwNs<+B)CwS)V2yb)j!IuIr~oe+-K0
zz&oAK$0<$>4tFKy+t|xdmGQ_dcLT!4(1#LIWC@pjG0jZ=q*{j4Mxmv?b}=R4lQq;O
z_Gk`4?jd|?Uf_>mw9QvY5HX)RdQDI`yS44!Ok{83;XvmKR&oAg@#X>^*2zgw8^3qG
zhI(fsvgHJW!ta+dJ|aeB;5n;0w+0z%$}?%fi(~5X$bOzA%`WOL1Hhb6-Df+EeT7CI
zSujXxL8H*2(@>z8n8SZ`7dzvkf}5Z>`Ha=!mc!pdnHOzOql#Z~<Ar6oE&K{;Do`kd
zvkC`~Ag**YcZGf@jf}nFSV?9LZyaAE@dBG{0;zyAw}#330_pEhJdR6wRe$Et_{+uA
zk`+Y-&b}*s_4DwhA+g-WzJucGbmp~zvTzG0ho59x(BKDW#+*V;=Z_^JU0M32hfxm2
zxjY7ata$Z5mVB@^`hhJnR>qlesRys?X)2^3c4V|h7p*5p>HltS9kGn{6MySgKrwie
z(Q@XaB!T>1UEAp5FRgHH=V92%EX4<{`sjYvi(B_DZ58N@yXZ_M*$~#yj&u2$?WMlr
z;Fcs+cpXAeUA{~r^3_?8T9wd^VDH(a?e0Ds(CV?=z2n3#6U91P(1<f{<W7C~l(3n5
zG4O{VREjv>GPH_&<D3@Q738n%8%v43MDqM@9WkG*4-$XUF<nnV3NEokXP5!hmbcty
z9M^gt$0y>muywW&O*L-4v)m)bCuT#pB3O{iGk%6NT4`)%VjjYFwmBXX+jMBwb<>fN
z@V{?KZ`H!&wbS4ea~xN|#GMnxQwqUNEfj3BD5m#qls$4#z%C)A(``F*i}p#Kz6=w)
z2`R}u@%-odJ<%w=mOT!qL(}dII-gENr80%g#4ni*NDHvn2Hc`K+C5ychb>WlMOZOM
z37<_`aCAdZJZhG<8uhjwl;6(8ccZ!SaX(-ur;pwDO45^W*#BOEKaSHZRn1j3pp2rY
zO?C5-BFMz9cS%UPJGeD8MGQ3J7TX=O2JZ46A?CjXpsMJ>jK{Ahy*97zy6nFWa^<4y
z**<Mec}Eo$X0SaT9cDn)*2cbX#Qm^W28&K@pXL#dtFFV=eVK%37;Jr^nb<h830Ot^
zBnH)k-Jd>vS-$DwMZ6S}@;A;wTUIEF-SN?5iqt3I534mhglNYeI%eXFK{}qBjw*01
zPQLT&E?;vK0Y2$oJVA)h?CVfA%nrkA<Fh(w#SFzZtNjmEr{p$-gJqFTg6An;w0yB?
z+FW8>#+_|zTxeEXQYT~&ygwj<)Ds<s%OcpG@>GYW1x@>-Zf*aImc^C|%HwyW*?wOF
zrUG_~dMgUe73=ZbZ&T-joP7YoDLOju=h^t~gvsvHJjYsf51rz;`P9amnqMZME{dlq
zV8L0*^*bBO3Au8axq1-3^xJEH<9Q}^=yc0N`Y+xt+oa5iQPqG^80Z*CAWtDa<}O@=
zqBqiO`GsP~vnfWaZ^HuEB}kd|YOiZ+Xg|=MLZ6p%em{ABRCjsjiRtag6=I#7FHzf2
z#T&g89OhX_dm)p+7yV+&UfL(=(NBsq$!BPt7_FC=p3hDw1*N1jlc(wN3FiHZbsQ#V
z>{&J2dh?7df9^z-y%|HTKJt)#hCp$oj=R!VyqB?+VCG`kvQo9mXeo+r^c~e6H4aF$
z${}x@l?E0Bv#d4b5ef#N++3Q>m9>PQQrc-<&EJ=(NI_wgLMw;~$C)q2Ve2Nw#BUy3
zon)40<jWMRfsEtW)pK()hOeHYo>?D?Kg?h^exVCvfuH#r=_$W=%{_RUcMTj9;)(-Z
zGejp$1mArf4&<zE8K1~AB6Tg5)&F7e(}v`c*7M}3s*U%*ez{it#KL=T9;cA6Q3IuC
z+^)Chbw|EFR$B86`*_&$mzMG`msjDeQopBcke)-r?Er(jl{-CM(d?~`mXfQa$k*<#
zhJR3q+w+Xt)v5g1ZSh(XAM*yX(OX5;cJUrLY1ydk@Geg4GJcVY>t9;XW^?_=LoYAK
z>ebAIXgv_+%kM&|?Z%<>s?mn#kIr8nLMcm3wvkU^ScG>`gTA&n7;MCmrqEiSEL(YR
zNO@A7E)%HW&fefBVnAub|ML80P;6sWXEuY(9A-~g_~WrXJ#|0K8OIL?iNSob_<H+;
zBq*moCxi@9GPoi$o%hSg4FXbFG;8COF(X>TPp+FrcUavnR-#S1U&LUEXD6(~KMaQ~
zZ$Uo8h0#6lNs%b!s4rU2gkrwbOU8A<1Y^%XKphcT66-M~JQE=mdRlF3sk)1HX1&Ct
zB^SDa;Yn}fys>lJZbMc#_%%1J$AX=3<-w5ZW_(8!&(mOz6x8kkr-;WF7uGzV@zGLw
z+R`2HeW|Dd$q+moA+%8HF9rOOYHZ3*B(Ci<TMc*Wr&1lYbjGZcgknl@s~MQDuqQJ&
zkTcd*UGSMvuitEzdGYMWa`JMIH;U0UzRE1mD_=&)7g3;FRw!JEVgF^bV&&XR#N+p5
zhGfNm%(eOpsO#SBp`M%;E+l-TwaFv1==Wn;*n?xTCuEoKUs11z0~&$GG#LxKdWQ#6
z?4jiol6P`A!?-iOLMAS#twgN941bvE@nD}?s*XP?lII$4Q1bWPtSBs-P8RbggER~T
zKX>L^=}OF~vl$--5#nx=Uc2W!D6a_8%{}m%1Bhv7UZkKaAiTi{JWMUz(arF1jUT2C
z>vKOA;Q2ON-`<Y@0*5*2?1H=ZKU~CB+<Kp?!6(lk0`-^79xqkxy3cGk&-BR^awdx`
z*Mron_{VZT^4I4%ZuplcJG$b_-FJCYNF$u&dD8y%(c3h&&$^6}yp{b83B%&(EmTyO
zYS<4)iEV+A_5PS>{ryLU9mIxMoM_Fv#ADbmc^6VK?s!TS=IdUob?3+HV{76RDut$P
zkJJ2!8P!-J+A02`pYgD7akodcl(EJ!J&JruEpQhjO^U&4{D;etPnTP+T9r{-`$3i6
zmXTbYj{n%A+^zoEO>?IT3cnE1$7M8;Zp@#bx0R@(09uE~jd@@tTL5x~Ml`JEYoW5W
zr@1?p;mqq}9GV)zrsX9=R4dW5iHvFw-DZVp+9T=v3YKOWhfU)I44O+uvwMu>Hn$%)
zdosH$wbMB<TaOP}b`>nIaB<80QU4ir+T*BLEeS=<nB*QL)0g^tK{d<vhDtex9tCZ8
z6&wrKj*kZNv#;S^Ui`%2TvKErAByo(Gat3SXHjqCD{ElVlfb|Fi@pmEwS{O8x}q7L
z!q{NbZ11lqOW#=?DN^wnV(En%=G=*U%{OopS;^`3`%n7c?uwmy@+)~8S92<D-ZO$+
z9swPz^UrGMlif1&hq}y`c1D$`ER#mLK`sX=6&*vSGI9~^w8$vCJv2xi9jVrCr`Fwb
zg2cIF<?kAQn2p<4@KW&VuJy-1Ei=O$^UOiTiQ?2>^*LZvQ=zw;@xZvn5H<a%k2l>a
zlT0Ofad9uVNR%oUtv0smLtlH>q)cw)kXpF%Pc()I`o2o-!PkUtHAz)t_q9LJPXQT7
z%zd@ar9CH{(BM%|qTp7@BCe6r-mlQ+>&1`b?)B|Q?$=QyY6{x!rQdXMDml{>eRV-u
z=+qsTXkY#y%H{J=l!QM7ItS7{?4?RPJ(a9{g`VRb&#cqrt|@l;W_i^Tlm;=B*(@ej
z|Kd~KA^V_blm#Rp4i9PZCmjkFcMncHQTLW~e<8Kn@)p@dh$rwl9bL2J7ri*!5G)%|
zzC$2GR3o}RUeS@!b#Wd?7|dIp6JbcxDaYmOu8CHA;VA!k&Ks8{L%sLR*yESg`rvog
zol{Ny9x*G+ld7ej3hWWf!|5JPeut(2hEI{Jzq8UaS|*S&7WlX8Yuubl2GVu!o)X-(
zd3B-wlz*%RYw61;K?p5Ac#uH=w&M83%=l<_aBdD~xWEq~y*{G$h+l~;Th-GS0oC8O
z%n1O0^RhB%uf_fL&Z=jgnTeBW8!7V9reYD7@1a`l8OEkvmmo>8Wl*+4-rJp@)B=M9
zxls<c=uteVw}%ha>vE@@Rn|pN=#=el*oaoVDJHp0N};ZHzP^yS7izarbo<?%zkP8*
zOu+}uQR8$2wL3#pW7c^=Wi93bs5sw<3~#7-*|pIJ&Vk`X5!PDWie;q8!XiL63cMsq
zIZL7;&h0msyTon!_+^6!mumS9n)Q;5>B6R0#W~IOT~`{O_~}ZwoBd}u!-9yD)cfP|
zi@@-`;PNOX{}KLBfqSxoHg3A3hfk%-sxXO#PkZuYZBO>MK+y<ekHEWTJ^7iLIqxB}
zkqCMD!<wR^WoL5~V&p<3Pi+CpMec2(?oXIGZrv#-*7#>e_+#EfpM8hnFy|qJKT_$U
z=z($}OTnA5oaSV=<@z_oDP}MWDKWh@+-*0+X(Z!(V~^$LE#@9CdL>ptk=X>I3{NU5
zr|#ue_go3G-``jA@fr?#?%4F^#Xmjs6shXvbq&w6f+2{*)3WI1!zeG04<jUfAy;C!
z<Ih}Yz8=xFK9t9-mb&uS*5qQW@?=h6n20GRO}D`jhmSR?^#!kKFDq>r|FS`L;T0F>
ziP;}FdE7kyNWsfL>Q$F?>BE-;%q2Kx3$_gmvS50>(Eh49nI!Nz;!|V?)j94i)l^S2
z-OKqTii1G(xc;D^6Dlw&NF+FuI}}`3{aA6Sb`f9Yyw}s<Gn5qQY(a$u+%7z4l=3;|
z>S{`ZpnD8%mc#nF*38F&;UNU=346uLJl)x6NzLb9XA+A>mASxrE%qc%*PMIBYh~CP
zQq$3gU(v<>?l+2+ZRN($StJNpb+3ACM?mV>!f{KJ%%IpRZur7d!1=UQkfief58ZCl
zX5AT+?wiq_v0oCBX;(lo3M&$ISF<VSlVjD?7q5}=ky)^g>mL2;7`v961J=g!N%qzo
zbh`^RjUkbZU2E@Kxgz8zQ$hrY;{QizQS4=UeS8$Q+W1OV@34_C13w2mixw4Aif&di
zAmB<rif}np6FOqlzKBa)LcDVoNM~PY(55K)=W>TNkF{G$?mT@HQ}OhoF%<cM!g;~M
z^f7=bz7KzE<KcI*-<aTcmk)b^_oCL;n?)CMW897T`?83G^ORysNhZU6xYR=r42;9e
zi*X55j0wlxHaZf9w-5Wq*`J<+p%ge-2=lO?<aZi6;=1YZu$Ym&f6VAY?FBh=ybgw4
zwe7T{W^H$(6rKJekbCg7P#l(6muh1kpFqwml8t2Y6)Vqt0Q=0|B$uW$>pMLgl;&d@
zfEaDPoT)=X{;@m)%BBOni?YB65SiHas*i0<Xl199ViwqdLQ0WU_;vw_(uywkV8W7Y
zG%)NZ?$vs7zufrdvVKpm2YuZr1TZ8aXz#kCh5#uMkfZW}u~}>Xh`m<ABB7m$37nEN
zblq}xtOB?0<%8T=b43YYB+djN(a9Blt%c&p?ob0;2DPZCa;lF)2ahLmsyBGJR(&39
z@j2pPFMYr~UOaN@2>nu$)P#^y0HDAa5J^RqCodOq_3A<|b1l@X-@AVE-B2Y+x;HGu
z`Pu6qTMqLs%-jYO!u$toE*GnJREFa@EY%WFk2VF5#zVci)U9WgH)Ah2tSc4oFK7g9
ziMuW`C%=Ip)78&3TFGVHG}Daci9y1^-jWG(^-k6e$*<fF9T6`xIPyO~>QX7ql`ji%
z6BdgIa5FFa@#u4E@)m6L+BEfQHGsP)*0hAQpwceUknxK@Gx%TJ07yO;E_z2suu3?s
zo%}+rZlkOj_&`&|2KFAF==rs?cKPl0Z-bV4cz&je!i5s>qSy^^T3Z0;`cq>pGb2HA
z0g(W?Np1(>%yAYmFF5Y1CW~S{ssKSz7M$V`xHC}{7b1^T1lo&Cop!?EJoo4p!&`@~
zDgN;?GZD%`laa4(9$8T>s;Gk$1kcfm;*h2|F%gI=z%sBt1SJcX>zM=L(pq<1D<O!(
z9G0RDa7Z6}aR4fc_Wf#Fq}7UW1hxFZfEdvEAb$2Z(e4hfB44r}e$A`d`;aG9?ad0Y
znEv4V73U4MO5l~UZv+dG^L7}MW&#WcYAtVOAOF$B0Ax@=D(Gu&3>r2p?7Muo8-tt>
zoZJ{r6Jiz(ijTp4N;;67sUSBmPl8Al_Zen2P?^Lp_fDYH+`6U`s8<kMv(z0e(nr*m
z2d&K!o3>^^N)1S84|V}pd+%lla6hOjLPPgk-qO5D{6YW_z<wX8*b%OYCzw(}8^*&%
zBiqLjMjc!)NzbhphW~Krr<;O1BT97>t($i}CxrTvfA6}Kf4<D)csAYVKyuljM+oy^
zf&-2(Hl<{w%i*UNR+atMpQ)Os>4ShY0vc@}{51_~DzrR+-~q(M-x48F2^BfZ206nn
zWCUy=8&G}Fvs`=nXFdW{Y8oyFgOO@hZ2(*P3uXQ<!2*NAbKwkhBRUG9u7CHDa=nV>
z-i+LXxs3Bn-?Zq-Ca*%C)$eB*MCFgQ*q5<)+*(u@6FWv)Wr+wqSP51}3aJnAo)1E<
z?sH=RwWf70x(`_%H{bg{dPH?QpK~z(p;8#_OTcDmU$c&6Qhi<o)C}E5b-Pi0{r0aF
zyX}mHd&gCVefNI|1i2k}lW43A=Tp*ZL74a&_H9-m6v{mW&Emz$u!fTvfN5MIBL(m{
zGX$3B{D9<e1yE&kJ!kAZD;8g18s4y4cX*(h=vr1{?6kJiCA<B-TGX%agRiI|eJ(6C
z5;Pnj3GkU=hw5}{`^iIyfA|fk{1jp3Sk#VgrRG4OjZF=Kc81_l3`G$493~1Rk{2yN
z-XRTILK^tx<w(vaPLVXryg5H8kVvW^!A&HsUu0ZomDbCAlcuCK4h7dYn9ILGsM=Xy
z|Jn`CPWkhj^vIiv1pPjziW^7b!4B&OB(70xfs_V*oSCjlLX<w{cjU;>nO}Vqs=4;E
zTi~)tM!owbeu(*1fLLS(q@u1+V(d@Eh*&Y7q@hCo<9X|^bcr73KgUzYDlk^j>;^F}
zCf=cebdx(kOj?N1U?^Kzo6y&~6sB#&O)j^KGr$bc{3X_Tu~(0ZJ412?hMLqb?bX8P
zhhmx{qCyuHc$^BU-*Kk~FAqrW)-9&5@0_qt3nxaQxuf0}@?Z@8R(mCVdxLgc_Z(8N
zQ$T+7ZBQVlEU^51Fj{Gw9nLS3C>>7D{hmrnXQ#gKp*8>^0hjxyHwiUcjdbV1BFKrK
z0$!KpcO~OzB!33btN(g*!$>^fc7q)Q8@nSwc37&ng_+qt1<T_@VkS6RIz$^b0Om(b
zMD%nC6<c-Dz$*xge$j#477}@I?)LA-ZWvzr4_$)!y8ne0d7f_G0@zm3(+YL2F3(?Y
zR<KIo2*w?p0F5U%TeRre9Vt8<{{2_!O>86W8L$sP%JAuC$pB<Q+ctP39#23`{}7Wx
z{h!3*PcKoNu(j2E0!H5Est{G-G3El)T0!6tiE!8TWRc{WDrrx%vIA&oM)Mgccu_Fs
z`Z42sNvXFvgI)T{#6v%RuBj|(*z`&ZW#gF0!#usgx80kPAD9sJ>X|Hd;@N^N-2)qc
zglFvVd?qDR>SE%r{k+O$H?~xs+SEtRc1pcFy76kXI9oc}O^6(l0pO(?%s&-YqNw6g
zcM5!2W9?bd>nu#UwKQJX-k>2VD%mM8;eaS_XGfuCUfd^A0P<XXnelW?z;PnoCt25@
z=!-^Z+v$aKimZLv=291zjeDOZ)AuhB(8l%g^YD9WX&*aIq$A(Uzw8IVs+Tv?64@sa
zQ7QjM7T(9Jx22g)8bsry-_P6uvXv#l${Sxy!)i{^z|zF;``H|wm6Rb9weE}u^3)YX
z$?J$`0Y5XSU_k_g6hr>|9r1*o!#>)NDW`m;cK)~T;lgHpf}}3?f5EzvA+{6hPU&tx
zc5NV%HvW)^R+AWf`5!v<rv&T;+~Z8oGDnqsY1RqpE-n@BfT`hRTaL5F;R$C_jX*`S
zZVx?oP$pJMeGvi$^AToYBQc@22Rt+i)re2^3PNiCl9F7Slo#fs+qm%Y&G?@Y33|ye
zG`M34p&Qdo@3Ip>e$Yw~AK!qbs(M_&5@g$Umnwnjk3x=81J*|`9^&^PiZP`%mrW_S
zx?sG}<h7UFsrNQYw}mc1^YGi^eKiJprtg2yOQiv8Lk`uj;&2+G`ha<k+d5Xcov9LG
zw6Y1Eue;vi+H`w40?-M_VNLg*kUue90p1IFOfm8jf-|bHZ%)o-&ZqYa@5eKXzGU?F
zoeArn=95;<N}HX0tEcl7fH%BP8rr6)=_1xyHtp(fvJI63@1&$<9&m^&7f<tsJfPkI
z(X~~sCjr9K03vwh!3O_!URB>)5Em?=NmqOHk1lJ*bm5_>+K*a$n8k417|N1oe4^FJ
zO+5_+ES%Cou!d?K^(}L1WS!iM`e1t#9p<onG!f)g1bFGyQ=mRh)i~+aXw%9h3Y>$S
zV!4{^8VfgCOk>swFUVrLBZAz*<7Y><NU#L|u27qsPS>8p-uuLCj05l*GFh&`4lW1L
zG1tB4pp9iv%#)@Jx!Gj_`T;3c^s8Oc2qnHUPPNW5dx=RUIY)0$OxFube4{>Nc8AUe
zTwPud9cQ|4d-t3zP=e94JTZ$`Ah{5zY65u|z->1zw3nLF_E?r^+B|;5)E#(N(6yQ;
zWe%{RTC60A6!e9MV?WINxq=$AC><B@rFnxQH43ym+8$(N!@dR<rGqCYW`E&h*j90m
zfNteod%#wki1`yY7aP7i)n3lksHp@M1u(aB&aC@hrU28|V*zu5?>(zH-}L1S^>?yO
z{<{rd!XB(~8un)&9RM%(7us_6M#W5t_j;(!pNVL>M4p>u8Dw|!>E+TFR30Q0fF}78
ztXABpDS>X=tQEj~Ni|7PIYTHO?EzggY8zji;+eZhy0V~$<-4C0w6`zUfL52gpPB<?
z^XIWVrDVE6x34MjOngB~v##FnO%fqJyu+&H-lpINM?6s~TNH=Y<H!#J?a$Dv>AvkK
zY(<|c=nSO4q(4P)>_HyTm@l)yDt_t$!dL|z;x~MIo$Mp3O$9PPo7f+XS36o0E=>qA
zTG~)$WZx<=9eu2OSh%eN<hah{dAshg9|po1q#afe%jrx8sOc2s*Q-qw|FjB^Tfb8J
zZy7%hhTuh~$pD2(6HhO8@s#sk7i5v`yy8oMI3)dWPn$kF9G#K;g)`K-7IApodz(J3
z4z3GCm75J(DiyEEvfU)5yTfHZAwd_fHyJKkKN7=IdwhRBYvDOgOM-uQ76>3f|H*cZ
z#*-}#GN~N*|6@Drk;5ui?wbQPz4ir#{APce|3M_uPWlC`c)Il16E(|bBHI2l7dQ_o
zqxPjr5Gp*F8LR^RrqX$R8c>3Zl{`jm9|`DJN`Pv9(_YN$<tl#2kYe%401%gYR4^ti
zK=SVZXq!TTTr>rD9*Rfyo8TjLyvytWckC^Q*4DGG3?#xJ#-rhM8qF7OG|gJ(=0n7>
zmS2Td(eR*g*KyQteK`LTE*ULjP?oqoGTW&ezY08>P&KCee{^tfRl95i>aft<zo{AB
zBmQ`4yt(8gc|euzcF>;NbeXRIUJqd-ouK0+R`&p78knd^G=Z4Pg`QkDt~~j+4q^ES
zLKIn?#51oO?O`O8dv-Zpa`7(+zHpdJ-EBlC_!1)(AcSA9<Nst#Y2SUFInZiub3V+(
z=Xm>gAx0Vtu^bVTND8qDNRg=w{yQZh4oXU3;2-}ml4tvuafWs92(g9#-+a-}v679Z
zbdeN7W4`yuOi8L=|7Y?DKZ8BsVGO;`7mC2MHoC+nkS<VQy5BJ5QF~kRZ(qUm0u6XY
z!ILR4ZFa-zN590D3(k?ynZNN!=j;8qCE?wN+ZFz;bozNLv!mi5*kZ8Sv7=D8wLNPb
zx9dXl%JI2jc&hoE>%Xt_3k`*r@_tjU!=8J?R`A`OdXZqe^&vAj7~RYJ9GlE;5Tre{
z$5N%x5*Hg4UiR-s5)m7mgy2C@;cLD0)S%Zq|DE`RzGK1g{qCZhMXbnwKQl<9)*mqc
zXMFds+KhlAu2)fn=mo?jD)ib`1^&AgU$L34Va*&@rCPeX6|I%!E~ig)*5sc?McGe(
zsL`)!A4>DBHyc)e-tK+lo$Ag6r_mhux`~WONF(^yRjM+IM2S0aWBSg7*`EJKBZ1%;
zfLrty8{f4RGUe!GA5`0REV=1iOw};95}B5dzOX*Z9gdOCp}2+TaSU&5UQWsWZydj{
zdSnfnFsoJ?PHiN1#?K4h-gFk+JB$aRnDt+AU2(Cme@Bmx#>=ukR{d$eQI(@o8kc?B
z%>j9wQ}8g^eAB??GFPI`WVrhi#^lfsi38?MGMD2&vG~y|Ch2gBip*rn{_xLZIDY=^
z#jLPFg3E<haO?dB;D@)masT}qq<%-zTIs~^e9J+rcXQZmqP(GUarneKul$>J2cZlZ
zuQA2mLS9uh22M3JM_CUyxVt%(eYC?QOL4xGO}q021H<*~V*Groylz<EC4b#|swBUz
z<ne2&kKl-O%(Tc4{(B;4_X_N{65s?{$Mu1`S@v|z|IH@~m6UgPmXqVGr)U=26&=Q&
zpjvE<Tg=Q>ZT=Bo`)y&>QIAn~dAJ_V80m5{+B(@?w?EgBUvst=EA!|5wUhZmr;E%_
ze-A0&8@J{eBuo;<?uOyEa<eGXH%h?_cNk~h4>jRbSc!c_gjikCLd8RLOv>DD7ZaMd
zP5Em~f&nqYx?B>X2s;$lj7Nr#fS}%?EPGd}z7#P86@PnmDDs8YC$10AU1pDOI}j?@
zX|toO51n;SUnpwUCttrPJk&WK8>IEPc=rUXV)SIKj7i3zl8gj>JYw>4Q@<*IAA*yS
z*u_yEJmr+VnHe89xqq3t-Dtb+II3Qzrk|WeDQB|iH!Xc!)_eo&ZNBA1U+d6cm%;0V
z6%KtUC}RGRGh4;^HK+4)FVDy?2YZGm|6X>OzLY%gdV#PMMaqPEUlnv|0;C}djfv)t
zB#>W&v7stW*4aZJUwLs<=;Tk#s9dbzQsrf;`ST6d`n0B-S*d2}&nTU}<*p~$I;x2_
zYhPJtJENX>XUFZ2q^q}n#9`?DQ^LGe!)dxYr%BQodp=rzRPKe}R<Pk@QCA2$J)(|?
zL*DH3-}H&9q#uY!PLHOsPN?|_AAP(L${*Pf7^^f`LdM9ZA;|=BEhH4N>r2yx)bC?g
zblQQRPr}C}W7s-9P-Vl_@-ig38Jk_YM8<4Q`Eu!ES64a$j*+$cGg{WGBlBzV@85i~
z?&0=0$h8P|SZrT6r>-4{p8R1p?PxVXmQk9go^387w=(%LF`n%__PKcEpWZBm%@2^~
zsbhV&l=s|xx;FcL!&x42QYSU$%GnSm)#&M<N}xCDbWTg<lFw5(KXzf^!{qQMl%;>2
zoLbQg|6X8UH_*+uyeht>&pG5<s2MY;G`vq)@Ap^y+T=UhZI$f89~P(ngGy-~6ho=X
zCUlDopji@%AmlF5OIo!azIGGE<ks=0w@}5GczIg4^ll)+%=P#{_Wq@EdM`U&H0ABx
z(DTr6qL5(z)0SLR45&z3-KNfBYY2)G>4<Q0n+wpFa^o*C^-jKIC+?d~l-1lG4@LL(
zyTz!Om(0)A^V7|IOrcWmUXP#LGeF+U1UJ;7m5@mVL$Xn51(U*3sgTH|i?${yjGxq_
zgF>O!YLKiYiv5U?w&n3s&M$_+pq-8=5ub1qE(Ll;zG$+w1U<w_AwrFI3MOszNLE%D
zrru-ZYX=PBOg{`y{z~WRVXptM8Ki7gU?vi75P4M8qAD`sU_>%mOJ*{%BFkkl5%mhc
zFS~H*Y<El2i7vbFcEGptX~l~Oy5PGVUiFNHP@Cn^(i#!}#NIaC?~@*<H<i3=^I9OJ
z;&>|iYa5LZb^@RxBOxj1H6FX(M>}E7p}ZEqK0XWzp>@O03eu1LZh6e$8QQ5;1jb&d
z{4k#W&EeuHH1nx~aqRbz!ITDG)>b68mDjPDt7e7w^(Dyn+0P1Ju%K9#lXZA<?w(5=
zkZ+DxJ)YB5(4Dl@rJTzhRC=_^pj6On-8e-PI;dn(vvWPW5VKgJLnY95)iI-(%>RYL
zi{m0P|Kt=wh_&CklaFvkh45EKHhx(SMA$IWefo0QwL9P`54(!_>#FL@WW8uKk3C#{
zqD%4TuG0leA&VUw;}>jlf+nt-Mw)?QoIH-KI-C)o_w6|qq%R;-c=jifhRbH!V*Yy+
zJ#by`&#-vR5-yod{V01GwszqcvY5uAS-dmZ<62oLe%{z|R>dwg=D}(j3hLw_5=p0S
zbAy#13jmxqZ*VvXKCzlT<aZ<=;^Wh}uf7*tZ(sL_G0I+cc}V`8@EHvpkGZeXgAmj<
zoGgeLApgpoi?)JPCun3B92T6VS!1fgKE=XbmYaNjU22`AjAr<(qU4F9XY?Jpir=B(
zDiPsSoVZ~FfJ^^`p7jvnlw+w4rX3<X*}Jhi9xgFG4eb%LrxlyY&{VA18<jODx0d)E
z!Nk=D*@HBbx4cneLi<K%w}kbVh1~6uYz<Q=@)%XX?|F~Ly!m!7>Uy)r<w_N4apdL{
zVeP$&dSqKFysX`iECwtZKYq9c|IPcbMDZ(hP=aG>&3aEZx^#Ekah<m`YqgkyLBOy6
zG|bh=*~X}AEf6II6Cab;BYgdbOw`4Aa9v)mYf};!sYh~IhJ`=T_ZGu0@AKbmEx%{d
z{KWLaWO3{zwoWfB@N9#u{>|4N`>cN9AcW{h@E4mLFBgA)@#<t-#6+HP*{qO(=`L~$
z&Wia|Z;eK^XeI4cpg#7;M%>Bz*h$Be9HlD#`Jp>ib{*=G2}3%9Xv7zh^vd5QD+r*;
zz>a{mxvJQz_AN#j*GPU6|H?8;$gbYyJ3EC0o&KS)qD4~rTe3zBX*BJP`WhM)`nHVN
ztFwhFR=F8bMeCqh+oGFY{$|`#K;L`qPh^j7^o#Ol{F;y!XY3^|@eSbNVq>(pa%Mbi
z2zoU#S5u>HG~VH?_6EE17QP;w=h%+nX#Hw&b}}pvhQyaGL%D{&`0cfSF2@vpuS2$d
zjy2O~kKxyZBw(5AF4%}T4r3Ve_G#;xj?UwVV21N%biLl~OpDC5LTC{@Z1CSZ{eG-&
z^?Z3AF$I&OPbnJxhCj1MEcYZH{o4KXRj|aNO~*UhF-uN#V2a_a<WM!a)I>J++7wft
zq?7H}B*dPmhl*U5d;jQmB~!%)&(RojTHNx*;c{HF+ar}y%Pt?Ys5^WZ^!gdGDVQUX
zhJ{82htdA`Q!x?W6O-cVoeUdS^WWs@;-mjP2FRcw#`>%6W%Wda+Pdn|a<0XHt`!^-
z@Sea{`Ey7o^s18epDS`mN9APhcK0tlQh3GHk2W<p+NMmjj{m1SspSUmJX}utf9hf<
zhnHFZbFD8%Xh7Cvh5j;7)cUT$6CI8#(^d8s>4Uvnf8lv7gPt5{y&oX-3k}fRprgkL
z)9az|{Jnccd2RCAhynR^7o`UdmQW+~I$88Hs5WaLYQ+iR0QE`)AG-LHI~V691nxnV
zztkQ76r#mY{$v5CRH*)0hX!V2Que1`y-RMG>R*|ZN58MS$iXAR@jy_;p&1Hv2KX~w
z=LU@r*fVsrzqbKuhYcF=0nS55dKgM60`FIu5v9HU?VAJRzPEhe9VBcB_grWNs~U=d
z;B~b#o;MJA1XAlMu4OE`xNWGpgf16h3b&!n$r0%AKF0_~dI#n)Tm?sI3G1V(=KL51
z0QU_A82VQHsG4O^#B&DCLH<lsu!kmCck_5ea!sIsoMB><ZuQ@@+CZy4tvmc9Aeyxn
zJkR~7QYAJsQ_o8{BJ=CMdzvt_iLahgg%2&Qm)<*iZ6!&4GltPdoiy6gb>j!4*TueG
z3y+ml5zUK<x)&phc9^Pal)e79<U&A@McpSlKH7FE!8&njPrNSLshb}+zgY0hs+<4F
zbTUhP7i)>&<=J^&siIl%_w4LFz1hM2tTZ0R0VcWxb}qZG0Z1sAR9dP+v3E;4p=>>P
zEHCPB|Bbf_P$5zAMwO=Dz{t#R_51hI&GKXCbk*)XYZ5`)2@k}Z@LqU8AWD^-3UkTx
z3HR8_81(iMvwdcw^mVN9OzrFQuv#j2B$Ptp-t`wyuF<Y*jeJJko3#!keEZF@aD#E_
z9;?OCYV5LDbDlkG(rpQ0BxE!^%s?SCvs~I`%%wQwr=YC-_FU$v1|rD;2YvJ``PatS
zJO6v>9im<=JeVx`n&)*pE#%{8M}6ttPzM;tV@<2B3jy3nK%_lX&vJ6Pyf|mDnrr&}
zCmh($t2e3s^k73^ZM6t6&)B3JbVfED&kxrFB?6nQ*+>m5Kf|{ZRnvmnf56Z0WQWDz
z#tOP!K!_-lod8zDH*0zb>BZ%-f%JDCx*diwbFTjNBVvRo*Mi#b81*;CzOKe_#e2r@
z%VQ+@Nb+`)OED2c!F1yc%6&h$<}GqCD%xg^K+mAewu;@|U0^tCT8=b)#E{=x8_X`f
zK2hUjU!!>hME=2M0Fv)Qzcip4NW6S$whHmYTVx3WF1&0K%O=p9Pzu6cZwuMqb#goI
zroM55wv5`1KAFf6B+(HO`530ja^2F{Z6)cGjh&g!y@)y!xUUGtKv~-+>m5>)4}OSm
zsw~vt*ZuD13*7kDV-Cd(Zs}9A)<E)%Jpv9VXk&*WrUeDpzW3_@V8YDFS$Ymj)!fwd
zcZ2e035Xh+i-~#Do|Kqp_rL<k`3+q|h=_>jyH)F4Yr>Q{*UX%OweP=s1`&?#Y!||g
z!V~qBc?%(<;^M>gIcLn%rQg1YsWemQUW}*w3h%3gA3&%@`Av<Dd0o%ShcuwZ<APc|
z$Z*LNBC*ZQ&CqUbt2gQ6RDSktMtaUcF`mdr%5M}DA{?58ZEZ_&suQ1>#q63qF^6Rs
z<2n$RNX$X><lxWbxTE715V}9?uM|QGivLpv_ZxOS1ejP}Q9WG6-<#3f+q<i)i<rUB
zfauxDKyZdY&2z+T^i36VajE&6R=!!(!8~5;QZ-eZj#UAb=^UBG(Q=cWF%INBR;fes
zlZ-JZRZzMWmk9Dq=(qJHp%6@0FuRB&#5#E-#$G2q@UHNK{lhRr+nmSwa{$tgnx0Q+
z5MowfqKVb>cwGP*13`}{MatT1EzzDEHAsAEthw~NsS~uGXU9KVE4ZQF3EjBcp8qQZ
zI_&AQ21u4UY0Te1$p>ik4+%*GAayZ_b<^*Jz<<$656yS^KKoZ2H24xi^|Bs_Tp9?o
zAW`#s_q&2{>6a{`=bNtOv%s+jyUx%1!}-K&Q}-1ir*^unQnLnA`i~I|rX=InwjgDe
z$%@b{off{4^8rQHKa2W#K<}T|H8U>_SXZ>4%5Um1($n`{&+jf7Jd0CMFWn%Iqgf@c
zYHOZA-|s}GginWY6lVH{QGBcDcmy5Y>`z_OM+{s<qAR||P$c`^>Mf(y`RbI^tSm{A
z(zC40B4W8ojg9d#S^c{L&Lb7c%1`*QGftkIBc{-#n7n#lErz<yk@O0ls(i*#&uVg&
zWHwo;>`(gk$jc9ppC{ZRnEGR2$g}KHafz{T1E!X{kP`a-mYNo2nd109#W;W#20-@!
z3m+7RfBL0Z1{dNq9w&d#ZvH)l{W1M7M@>fm{t!WPQ8&{EJ{kFko;LX_l|OVI&J18D
z7E7gYddL2nZ@caI#`p7-KGT3r$LHlD9O!?7_?Di`T7M}!z8wi-Z|>;@@X<GsFbyy*
zpYUk<giGQhUVwO24?GyYlvJvJ0|U>71bL1}b0qWDzyC(V+m?2B=w_F^eq{|2?{dbc
zO4##`|9|Zg9<Ofv{{8!FM8w*wM|UEc>0S%bLK6^Z10essm1``}f_(E&-_w7$t3tgE
z$z%w;6joO|A8*g{YL;@AHPHnJ#pLGZ#zTQIj4bgZCA`F-Pv0}*rpb~Uk~9Cad<%};
z>F<`N9OeVTk??tur$2o|k(``dN>VZbddY(H)8JPGGkp)6mES??7aJyy50f?>$`+iw
z&bNXP1_BSoqrF|Ss}sLd|8CaYoDRLbyu5z*^DGvW&YqK>GHF+zqH%qJ=cEr3<M4D>
z>DgGuZ#5Tjhz*yTC^FU2+L}XQKj1kgi}a;@qPXFcjQ3N&q_&Ko7*#HI_KcE>8$Uxl
zBh2sa7fJlqOV|x+CO+b`W6&pWA})Dg-o|hHU3Z+al2X*YC~J#Z|9i-XBDX!$l>Uv(
zea3I!WkS@z7z%5@90un6DpXVkn_4vXvdvYn1`wEuUOj&*RurH=xIjm{-xLP3rQg2I
z0N{TFlKmd27#vcOe^N{<^&5R|u0GbQ$s_nm$BNxxjJcy$(DHHU%2H6_z4ri*$V3Iy
z0(Rz44<O7Dzg*-}BJdOvzor%4oLpQ6zf$ZW^RwGbq$TJj)j)!{J&%Ix3ws5Q0!KcB
zjKg+S3I_)V&<Zt6V>j7gsYF7!a5Cu5Q}DGSleCVeupRHm=~bR?eDd9<#8nr$8j(2n
zC;e+H-jE`pQ}3v>-*TO_9p>cZ<RP`&n#w&xfPx@kexQ%oUjxBRLvr}r>A+GX)a9+7
zRKQ%~Kih8X7G8sG+4PBfWhktGP@!YQCQIe+Zi(DAr1xC}H@Tvf^}(VVv|xZFRGd>-
z=;K?44_6VG3+V6)9q%%@u!jc+@9;VFz7o3?EAQ^W%!vPQ+2L(#2+4k4{Za@Cxs}=C
z)P86yx(}=cLt*CCN>>IWsHgtm$;8=~&j_};|Iin<Mq$k}W7GqJo*gcP{e`<QLw=dN
zI+Fu5idV8puz}IYyFn{H1Um|bTedPU5jMS{J>w5<7RI4<ihmC`*DX+WG@hQS>Rw<7
z9bGMMXFLZWrU*g>C^Sw4Dv(@HKiE#Gz+TmfzeihJCC~G%<@#YW4=ri?24e#4vFI5Y
z<?5G3sxlvchgpnnt7k}ZWv^_|ZFEdw^DbtbtJ<n1x0+>#_7-KW{2%svsck@K5mi({
z63+r62{IllJ)Nag?6ZI*q&;gk3Y*F+XKtpr9s~pjMZu6|G9+*C#iy2u<4(FpQ}gKP
zGhG6-OI}=D%rsLke?JRz)a~qe=l6rWCOP+$3WuPl|F*qtIU!XH4X4dg=-`-CS*fC}
zw&N{(dbmkAo*G$cL}meB>@!LH7EnSGp4yxHOJqh@5MUtBRd5G9cDb79m=W$%4>E`b
zq2Yr*<cq|EC?tl<5&f*87mz8N{5btvVSfoVxb0<;ruV(8j}a@J6WNSp@KNLxQm9Dl
zZUxt;HDMPi0fmzZa$}B+o%E`nGc~k}7b_@;A%ch2qykf5s8M$LKg&vmg0f)|SWnfD
z{%=7(!ZMtErOLK{mKbC<=oT+KXRj`CB=_=n(B!50-^<JNj%XfwYh$0sVdkbT-EkH+
z*{uA0P1fn&^psbI*kc9rVbSXs8RA5?($Tf$l<Jms>r!()O<QBoYmlAZpuY#3hy4L!
z8`zbSlIl9YQ$YDMj){gEacfEhy@InFp9-`Bi_sS*vSv;yCML>n{EvOd^n<<s)pJj~
ztFLi<{~LN!a&mHdI<2NLu3{Q=jg<bdYFR!;IXgtqBj)gamF#LxWTRcXN%mG%bv!F)
zryJ4Gp^ahc8uBLpj+zjL&%1k9A4}L<cmzJ{z(QClS)<ZxUEP$gHcO_r$th2s5cY_<
z`mR!4U5XevJ~OT66AcXwq#N&LNi~PIfz!E|ve()YOqm$t!B~5vpl<N!-Z$i{kv_S;
zP`uTjTa})ko|R<`*M}N;E0$d`ln?LBfnyaD-9Z-x+uiLT8^ETn>XrX9*JQ{#-ZQvF
zx_UMNN*0{$QnUY_+SP)e<C$-I`)}dFXx%2FN?`y0_Y1UCzCmA_tmKM{Q5&(ZiN*CG
z(7Jxzm)GjB!-~2{+5N?puZig`1W@Sp^>vZH-wsdSq@=L<8B8<n$2fGOJeI$jEVoHk
z1~Ph}2Wp_A2zteJL-6G*rn+2|!Jrl)g<P$Dyz3sI1ag4_;v_?3KJv`IzT3^kTf`q;
z@);mUGhDeT0XGm;#;cxf^+-sl*b<`8-oiX!)3`~rz_1Nor%`}aP3&nACSH#|@_kao
ztfjhz0!^|6!FdLHoJikTIp;2rP0S4qZ$r!G310Kux+d$P@0pm0*VgCM@2?IpGB9)w
zJzM3$GF0Q><(X`MnM**GU_wL~{m)Ng*#>l=iC<n;7Q^w&K=~VtjEtN-TyXGLIvBGu
z7>7P2Q&!<`Kf&aH`Et(#6jnDWxZlIRn3k62ll5)HpP*MVJL2d1+8T6C81k<S=_H}4
zKbsJ<4EcAzy(p;Hu)k+!l0u_K+<tWJxLcj!;o(N2m`l>Q7&~!B+U??qeXW225!Zlx
zuz2uP@wV|Gf7)ZFV&ivtm6acWI6(hdZClCxKq2@UJ<ioAV4|ov45A*#^V-J18545t
zAA3`eOP&o_jUgo&EP=eRvokK<k}jcmUYhA@whLey`ayGAu{%%gs^O#r#rHvg;e>N+
zZb3osr*zRu$@s3U`Dz;!FAcJsqfYuzIo7Ugn6bJtd<Jr{l~+UMjHd*RFQNI_33$I-
zlT}BcN;Eb%KTN_8$t(KyO~{~ljhiJNDJk;WUINc)3OwcMII{osHCfO{aA(tK^{>nW
zVg?<e`z~+9%2EGkL#cozwG$T^^VR!msNs(h5~_q^3z@+GU9FL@s5Ok=5dY6Rv^2px
zt>xjo|3B+j<2qiCW2S`i|GvWo{Mr9G)*)WxKrh6%{QrTQsJ}##-7((Psuw8*NCuLG
Mn2cziu$Jfl0sJ%bb^rhX

diff --git a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-3.png b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-3.png
index 0e50118b6fb15bce067e42b1bc3649e6680e36df..0190dc114c1fd522fddab1995a01c40b6680d2f7 100644
GIT binary patch
literal 47672
zcmdRWWmH&67A6pa1cw9*u1Rorx8UyX?(S~E-JRg>?(Q1g-Ge*qqi4E%W_D)(FFBl7
zl-{~kx9Yo636_!&g8P8^0R#jDPWU^&3<$_OM-UKDO(-xRM~5bx4)}oD$_Vj-l#O8>
z0BJ;hC1C?`agc970TjqPP-KvIZ&iSQAfU7$Z>>H8zqEnIAmD%GgMbJEUl3YqS~^x5
zT2^XCJQ^BSdRkUm8W0ee$ajCWn1}@bE4>|w_(vKNXm}Ti^k*6rBog_rG*ootA8BwJ
zW_pn5sDDXE|DDbR{hPW>us<n!=a~8K&orp!|Dx`{QA|P2%t}oS0`i~VTewJP5D@TI
zV>u-|C2=uUT}yLHZ9PjJeM%>DtG59_*qvB`q`AJGHlCBYnT0K@69>T`HCTc4TQ(H|
z-XB%$OgRXY#HH}~EN%4h7%8bKsR=kg;Nju1+vpjv%J2*RvpMh=2Z52DofRt;m7}90
zr6V1srHvsK4GRkk6*VmtEiDC5gTmI?!cN<X!orsDAD#T!55K;xu8pykow20_-dn%g
zI+pf!90UY!1O4^$Pdd%5{u;=__Mfu?=11kEZAC>xNlo?N8tFS3|4rV%wR$W0pUtd{
zEbT09jV%Aih<_FT&kpo-|Dx5(-p1??mgwnH>6_`B>s#2_0_|x2E4_Bc2LFTJw~~Jh
z_s1&ygE{QLQnHF$>KPk2^K0AbbG~gA3L07pYDT#~H#a-gf7JP#wSTncv(X1y{=ZxQ
zOPzmd{l-C7Ndp60eLFd0bA8T#>_v8}|IGj2P56xsjqQwG^!5H%+rKOPXD71uI=1?{
zZ{z-52N1x2j{e_D|920PHUJ$K+Gd>pt%JV`|FiwyGyki~|KPx1<^S2m-(>#Rq5pNE
z|Jrh_Z%g%$1=0I&>-{GU|GmM#P@t#FYHP1!qOWWBFXI5)>JRzm)i$L1muz;b|5}^<
zZBw!W(*yRj_L~fI(y&wgUwQu=lbz~K!2d<y|LFf8xxjJ4`2pCee;!SoAEs58SV2Iz
zL4^5v<eWf{(;%Hb&Mx+U`pygGcjYG)J;8UT-t_US&U;s$O0C<&+S_oKUX2Pzets$N
zpI-!A&WOE<A|r98V7$-J!q=7?n^Q(_R?JqNo#N^8GhX#poyV8P8V$!%S%fHgxDgS-
z!9oB0bYwxz0D?c2gog(O1?J=R=SRxl%PQ%@@!vDooxuHu?b!3Ca{jFLk8+?U)Bhhe
zU!OmJ;dFhz)sXq;RA&jT9<C1j{QPESW)6#)^Z0|Rb**AGz(ErT*C*9>Low*eT5nVW
zb)#crueuSq(Cye<Z;rjZyvo}iOb%xXs|`kJzr?BjlbdkfbcSOscbg$RJUr%0b>^!r
z&RSaQkhpG{ajcB^JqwjiB9=a0WJte_C}YBCYeqJ#j+YxRvjTBw_iy@fJ>5=f=hjUJ
z9s4pNx(7@DU~w&)H)*=lW*F0|)64x{1TL3`ips;P>)DFSQRz0bt^jXpns?FFSEvRE
z(1=}H2B>*rzL~Pd-Q<CR0T{{#JUY6VY!26(P)vp*+r2TfLaO$si`dwYv`iMu%y#=y
zMfl*OV`C(wOiZ_@&1WQm$swo|tTx*N9Jk9ciHS}JKNC!zr@Ieli`Sg@((W(!Op_jO
zPCnD<fV*CKJU^7GH^)DHmCbv4x*R8Jd%juneh0~`D!gVhOu_Yh74u63`41jDF@Yh@
z?xnkio8PB7u3}(gpX}{9&dMutyxeU`8Q1M2%7}advuuC98K!C%d*}&9DG1K&*6j;j
zs5Ae}^2F;Wjb(qfnwBle^(@D5e_TC|cl~X&9MKT&gD@0WEt2<Qr@qeZC6HfdItTwy
zt3Ql-Gpgmj6Q@{bGW)@%&T4~~eqBI7;Nalk`SJE_G6%9AxT(?9?T}_U0RrAZ!jo&X
zBtFEDN(%PcPKz@M@bj}@3=l59^PRUpoH1UkF@6UDE0v_LuP?>t>FJ3Xj?L!qba#${
zfsvJ!B^pnj)dldh>Wv$!^)e^G4$;$5QH=gW!aACfyt1pf88;sEd8uJOd_V-P*x+)x
zD)`3gaI9owLt8>xgSL8gRNj8N((G8S(Ry)l@c{+~NoFjG4pO1k{qY9TWOh47l9LCf
z{F=N+*_RjDhufS#lgB*i3RsSQ!K8(*C7vxjjqk)v=8M}$M<McvBg6th=&ChF-bmw(
zd+Eb@jk^8eW|@T$8@lyysw`&n)X3^hcE-yMG_ew@Y-R*lMAr)m#UpWKinKket*$Bb
z#<Y3^h!1LQZuj?l8Lz<LGTIAO`t+Lh7V51o*IG(Z(I)D`ynh@ZXM)^?!I@zX`q?)d
z@hfedvOn<`CrrLuo0*Y+_;UAs;A?Eml&0tNr*z~-k_)gN@JNdpk?-8K5`N64Qr~$I
z3&Nmg;FU=R>WrraH<oIQr=z2h8@LM)$Vrkg+k@%}OYl>1b3epKWtWtc1mb$2N9oO#
zsb}dg)mvK56hs~NKT+ZEerIB!T`W~)`m+9eqZ<K-9jY<+1lw^LltB#;%Ut0Y^f5O}
znQwm_Yjb#+4qHRv-&JFyH5pBRi4EgRYiNv7p^7~9_4e|7%NpPJkDWyUR|uv6#CxI1
z{%FnP5l$b;Mtr}t4aK(x(eNGjwgTdBJ#Z7a1m$)QcaHGi34!p~MI|LfvPk5}M%{p5
z3>zfFgu#;Ifrs=={S?I)OVrIy?p%~vle9m$yK}nYEb^S;V20IB!}#>+{k`k;tfEi^
zPMDW%?*a^{p?%u-wm$@ZHPEXHsVn(A#Yyv78z0gA%j21D?o5R?AMK|dqO3bn{&%^P
z<X<;O1fQctDW%P8HOUXqQd_SClT->h@q3gb0&?GjA_!&vvPyzr)>-z2L(F3*l}zu^
zla0%k5A*;|q$F%Q*3%HGwnX<!-3X3=dlojc<LSbHVfds(@HAHYp-jnViZPC59Xfsn
z{SfE`;W0mGl-;qkVeScK{#>&*B&);EA}asf0U#lS#|aarp69)2_xJaoK7B$VmGDF7
zyq=LI$FjYbFILFH6_PGnCXQ=50EF9YA`{f)iymkY9UPvInk<H-h%UrTX5QbtWltXV
z!=?|$zTa1_=<30My8lUwd~tr>`SjHGc-no3T+1vV=T)$w1^@ZS0x=2CbiSkzL$^SE
zUtg?CFH`Hr(s#4)$VkMN#o!4Z#hR{ypfw&}i1QFd#2J)#Qd2h2Z?~J2BVtDm7UA_#
zSu;EfvCen9wRz>LdP7zC{@`pZxI2F|je!6xv97MJNJq}!9q$r*Wgog=sJK0@ui{zJ
z8M0h_Kn3KCVRPE55Dj(Rh=dS-D}j%d{;b5eR^-<dH^P^rQxdCkHQ*{m=lQt5-4XC@
z1#Y5xsm}mvSYorRm=yGDPlGI7bIIv>rg{Gaij8p=gQ5NNUn>u?Oq6$ss8K+s%@L`v
z>iPO?<>$vLAu8JKCOeLuO)1n7Ty0=wRU!OkLQ4D0qZ^JXk(^=R<E9x%(DDbc^k8oD
z9a?Ra1-P7E9CjyaoRDMRT5j}o=$a9cf86*TL}2^BXe0?Lkjx6q4#athl6<%+1UhO&
z7BA7dPcbrZ8pK+hE!v+Q_OLB>@1+J{-@l=Rf>|i;@k%2C)T)Za+6R`Q?f0O%;3mc7
z(@w<Eg#QK^)>)ut6qNJ!@V?L?{R_h2Mx++xZV=NI1K9O%$U_4F6E$c&##H~-i&iKA
zJo*y9hyOdoXoZ4GFsAaE()jm2&_Oq7!)T(g{)99C05`5kh?LVB;6Gdcy$>3&E`3a0
z0+zo~&KqdCA;441YlRYV{r5g}0qW@c_-+1%N^gB13jkAbMT))o_dfdGs0$6={#OKr
z2Q?o8Oy!2)%gG;%{A=!^Z`7fq4E{TlD$szboCruQ!u$&g!-GO61gN7S`43iWQ2|p~
z49ToP`~Qm36CJDYxvjQ{O6?xc0II0BSZVTneF5&Mo!#AZPWMF?K4;tV>%&<XczBD+
zY=Qo8Y}e~U`&H*XICScc6f|;E6!1d`FyN?FZM50R6HmE0T}eqzO^u0>)zHvjinloX
z=I-v!$IGjuqqDiS^>}^6q|*a6kkgt5EN&(y_!x)nt{8(r^a%ubo#om~FPi2^8XFTi
zx!K+C4R-(q&J@ZH$5Y^cxIUV5?DjLckIa`y^WoVe>|qK<c)QEu;^OS@cM>!mSM1+z
z?46L90~j!Sc+iGH7TaC7$CLV&xg5bTo$2|Xq6zc!^Ai(NiTSLMf#NU$*yCekoGw@U
zz)g>2NUmB3dsWu3`6I=mDVU>CTwR2aCsPI3ZY8LgXlQ234d-!+8XIZt=Y5}@Hx~4p
zoWSh$nCHbgr8C?vpx5#NI2l>$hOOK{F8d~&A5l>`U!N|^+g~0S49m5<17;6*oMyIx
ztnoLrS6trK^!oCM>wY!q<pmOvoGzB9K#1p%bn5ALOnwG{1mPHxtZ@OBml3*gsE~t}
ze6Tt^*s)BwT|BBEjC)xW957(;JRoqA%?>9L>FmzG*Ln1kx^!5<<x5en3~)W4&H>OD
ziRep*m9Ibq&C?+P&L3|~>UG1|e|HhDYT<1}Fkm*78{E1g>}rZQFg`An+GsLcgur<R
zk~f{4C!+|6l$u`$fU@h%7JNR+CW@lrg{xfx0QY3A{q^yz{mf@W52{><TQBL<t;cKv
zxG|px2qRi<S6#bwnqGv#As~2#J2Ub-s;!>E_4ok^ruGF<NJQ7%yn{;kN}h+2iKXPH
zW(z=Z;Bt}@;7@@+R&FXv0i^YyZtn%ayqq`lx=>SP0GO{A=Y`<h!}{G%7G&6og2WEU
zeFq<+S1%Tq$5SScuT+%lK<wcdy;LUQ7`Uf4{m~eo<CKVi?kSO$=|1WphS?|pVShE+
z?qL>*REi?bR~sS_T?6cGzF9O?r_F>V08W}+M06IL?e$LI4EGyl+qm43B&c=h8tra~
z)QL2fpsSOeH@X5KLn%mxpmGz<P*<p1V3py(CZ@Ca0(oV61*<Xrh*S}+kih13vcI5x
z%?nvC^GH0H&VRhS3koy1h7uNrg9_?vf$+l82o<6`<rKl)_&sK783<ly_qeV7;7rMm
zea`CmSRDyHqYn;j8e3SJBj%6;Xrd@C-gK}f%X8N9;j^4HQ#8tH36N5Ya9KKoV~hG;
zep%1cS50hIJEz0KeCpdW3mRczVXmj&eD*(8Ja~D*)HOVxuT|hb4t06O`lYQ^>IVLr
zP=`*3*%V8UY9_(k`T%B+<?Z9+<N5ly_If|=sTS%R$sgmzH|31V9+jO<5c7#h7Lhsv
zI4gJ0t*yRh%|Sy;Ob|fcnz}oh#X?)Brl*fV$1AGaf08(5T643tU-_rfR8%&Dhsy%q
z2lB0&F`c}3dIRG;7xou%J#aLygMnv?qG`I(q;Q~x{>0_|o{a<Nj#+*QL)8+wmpvX^
zgQtZLoS-UDvARW_orp~Rd_JfQ=8N<M1YkV7D3a{nyx^z52cif|F84A#1A2r61#Noz
z&bRspiR_$#v*l-khKZU<D2xL;bqR#X-q4T;mMQbM7>hFivjI33)20nWTO_dq!0y2y
zeD?2M^9B210(B=s9~~XwH^Q6*(<@M{ZbW{1@^nliuE&v5l0?(hi-~>Lv9Gw~ccR?1
z)WGJ9wuAuggHf-ob%L=kdmw{A&r6-ptl4bDEZk+#jzKHWz-a~WU6CjaP({DF;qNVV
zMRd7hBw!+htLj)=pQl*16;f^T3*9k-XB(|HYB+7Y7g@m7RfNB7bi22aPeP&zKL)fR
z`ygGLNddG2Hf!Z%!=9K6aJaVNc=C79VCh~U0h4A_x;i?`oEZ4Q4?-Qn=ZYH6#F9c8
zUyXS>2*4+dhjuW*nWZ+)`*9sdl^DXO+T0)O*F01;!?+RvWsy+y4k#HM9~fxZ3TF!<
z;&s{R@&~je674Fvqiq1O+wpe4he3_(NWKKrrsJi0s!w;sHZeu_lR~()Mw31<n*}jR
zNy59oN>zos{dGb3k=lOhbzMX!#mDEVG~OkU_FmeYXVRwPN%bS`ueP#vny!HPMDkx&
zl&dvX8IGs#9(^yw1JJ|(?S`J3-Dn!y?GLgtt4S>d_?Wmjfe=ddCU9_YtKaWbbo~;3
zD9_yLwaFC+N7{7xK^yheVkz};x<3>wH8e1XBlSC=RN<ha3K{?xmK@Rx-^bZvMTD43
zKoyKGB*_y|zaNg-bZ)fa#}Gv<*n&D<X-<e4ibI?{k%AJYcLG;3B+!>i@$@BV`~*IN
z2i)cuR#?h@5UAnbI5}6N(pbx=dZqCz)LNWqzM0jP&UXQl)eS+INHweIu@%M?8EjKH
z0_bMloJI69BbB=SU8d1eldLt_nVERG>CALCJ3Bk2%GD4Oa%-i-Q|w>U(IiLp35U3S
zxUq%2P-<vqZV(auh%mXJ(&5Jkm^A@7L-&SNAh3i`k%H4&GYMU5n#%#(2cQTaFV@1$
z-j5{FS<{tkwsW>|0_p&-WpCXlGOQK{bjS@IZEbw4tU;L=6yv43lW9q=R=Wckc~<?Q
zk1Ziq_+3>f2&dLteQ+4G;8b6Ho^^T#CyFpPCIH>E#`)4fFR9vayl*x(OZ?`{N9>Kt
z_wNP~0Z|13b9#BZ-oxIwg}^B(<YSo__+3OCPpgDK0m~4N8W78;hP26QbN4P06HmAa
zcvu2?F6KDGNx#=EnaL2&yY+Xp(wT$`^vXrz+||Q!ECYlzRdNnViHasB);7N{vch-q
z{jN#7H_Z9+@(d06TYPH9)HBwd&u7%Q%0j<D&4`0%!XEu9wVhk^C;Aoiv{-9;K2}nh
zEQbhw1vLO2gIT__4DK);1OZ@?on>vTNj6X1d7(|Y`AnX7Be`zw?$6K9NP5T~P#P0@
zg~Z(ir~)5FEPLp9<qDIvo_Y{}*Q&tZH-L8r5WtzwS7Z@$uoc4RN35$w#1+LnBv`yb
z!w7CUxsQ}yPlt3I_~z03vpms3C1{r}9vmB416U?7z(LitFYF%}sJk>)9?}=1eJluK
zfOZbi?r=+l4IobLQK*Xd0-(Hh)yc&oaE^FV3JQYXC#R-l9APPSe<^@38(b-<f>ztF
z_Ehg63aF}zvN7QyVqujC;B#7U_T*=H6lH+J%Y0{rp7l%R+tHOCDs6*501nUdB*S!?
zf!H_W7B#omE!06~MIuCn(+tHD2<%a?e4zSt^*CoppKwb01Rr3HL4VuZpm-9E{$9xM
zkk>HtuPD=4AwgjwoJ_7pK~tz>U8)^#u6n|E*&l!t>jQQMX2yglpfJ)W4m+;73njYv
ziUAS=T)Ua^1RX5gz=eIMZ_*DB!%^}xVv1qfVm(<~?;}s<4M7J<mS(#LGqtg3M|`Yo
z6thi?l#tR_Z9CD)bPiYQ9ey0&F!uI4xecKR#8{=<(PW11Z)m29@Rvj$)6vADf}!Z%
z<-YL?4c5B+=|(x!0=-)vfQ^IsrF*vxxT_0}YfW;5B7W`SLI0r-s6}ua8SR%SS2L%W
zk0jEV*kuKld48xh=5NciVfhTouj5qD?E3LwZ3D_kGHg27qV-zA_k{%)s-5`b&NtjN
zq*Q|Ql-<!3A^3ESr=sqdyXS-ai~-V^X@(6<`KWl|CAPDcn2{xmW;jh(pD#%3Us+f%
z5>(w)zYP#WIT3^L5^=m%nv6p=@sDf)771}K!>m9TdZJQ%ysDAK8sf-C7bvhEjNV(U
zbmTImRcW?g-^C+h)`a)rh$_zbRfI`|K4h5@5O5f~lhhB@)=B3G7GzvpUY;M3qA<>7
zVkZ4VCtjxnm#XFlfp!huX-f8;;B({%QK2cbN~+zY86@I(4@$lUKpTfI<bA>b#v~)h
z8_K~Xy#-L%Iy(5-cMu8j%d+vATM$>5VTyXOG}ccXAHiFjOdd$0QQsD`g8_;=N~&(z
zsvFKM{~WZ4@QRwWoxVLcyQKx$n^Fkx@t)r3_zY#Hr`)5}Gy9?u;%Slj2S2S%uPmP(
z>`{kiJ{d#|4OSos>Zw6GCV5_6O1ZTd{rY#B%9fcq`lP~dQhv;`{zwe6;%h0-2hmls
z_X0Zt`uX3!eX~vrOni9wWw~6zGYt|{<n&<?q2fx40$^#ef1mD$5iUZioWP$u`8Pzn
zSnTmBu?ms#vNQ8*OdV@;kgQPn?CyC_a{AW7y@T0Pk=(Dl+MqPj;wns*i*?SC{p@52
z$w5|0Wlre3ni7g5+<g_$pqFZS;_5DHIqt$Nfe|~{;$+O}>fp8uxltMIR31XtV}*{C
zOW8v|WCip;y%*4znlFeHq##VL`C+!)<g6v7>j*J&%Z#Yc>p+OdKV<=xw#tL;EC?BG
zJ9jFw<UpNcK0JXM#Uriloy8M&sA!!)QnvgQUDA?$yzDa*8k0mS+EfRBvdUN^)C`3p
ze`FH>M%;z{_Kw~A*fQ+ykj4?d{tL!q@imVxgzOF0!vlFpS>D<_pcT=xplVV|@v>5>
zX^M$SvWcl4w7Hd<`3+LvP1NkP?8S*R5i77j@uTB)cgm7AUPCi~h%yrGe2R56`8-R*
zI5pSbwC*cFydzw=0R5FEsqy_gR;JH0waQLXanA18?SQkO7uRd9J+%yE5?j}aIH7Ux
z`wec2%tWZ88TJAt37B{!+(i1ox9==bF;?V{sdR=9eM0d2SYM~aKWoL3U;>N9@P(am
zV`bdv^atM(g8t1B=5%9Nt6?g^I(uwv+X=VHxWh({OMU1ExZm@Jhd#m32?t=2_lP0t
zd1O`&cjy{@`UYv_$`#*e7@7+d-G<>S!zT|qEJ%n9kD2YV9s7f{Ig)c^9PeZ!;g7)n
zkhZU`M|2{?ln-u$-jR7>5VuC=rB72Mvc=5ujYnFCeH>qXo9R=ina9RO1`CqXO%<cw
zIIXezVABM~Rv*40uD1KoO1ewQHD7OA%$cUjiZyfbW2hC{SoIeB3>}5tf?G__iZBoX
zAKQiLkMZtZcIZUJhF|yh)ZJO@4}WnkVnk%-*62*9Z};dbqrsU^=j+NxHa9r{Gy6e$
z8b_5+=4E?}uF<XkQungo=Z-=6SR3)dHoN5fDv3_@Cf95^jlIdTIM}yH$7hHbN-4+-
zQ5eSCMwj8tRq%kN_w`=;asAX9dkZUPsqpk5H+S#3m7-GIZhc1jBzQ$zilRPq+sVLM
z(Bgcs>mqyV#}C>3ah6*wy^KUUfA9wZ@U6a8=8m=gOnLLhPn6T2B!?a~Bos4uL3JCV
zhl#3aq+<ZR8@uha_bB{SYy^Xgxh+bZB=Of+eno>>cNx)>A0@^w)X6;S%a*RGn&Zup
z<>;2Ki>_#!?aYe&2CIk1S<9&brUGF;vE3ZLcbE*ZMs0oT&gS9O!9>rl6b_6OVgka|
zMTONFQ698oIe`z-2JY1qbpl2a@T1pBW1{7YHq3O*>xb6Zs(wtnXV(22q3Xdbfif3C
zT^Kl6h%*h+F(B;$9&ng5<&I-Xwi5CR@$vH8XmLB+33}TfAs8>rrwIy7k0LG1yHc6>
z46n%5^5~=(j;8^pZ_L|RLV}fT(*j4JDVWKd#^W$D$3M-$CaY-1!Ku%$_!>aD@&Q+5
z=*iS{v*L6T4K`F?MS%EIbGY6aS8__EOSF_N5)Y`i_|xadM;fvWi0kq6ZD&k665fd&
zw7A_*v3k3xNV#;BO~!6wQhN<jo?IKu;_PacLpI1!+qDntz6gwF^Bu!G;#LdosJOTp
zpzk28KzaZ}fw8uwgo_}FkRvk3OvLr&Az>j4aSo*2gdr<i>yg!Ba;eZ_ol$aPGA=gi
z{5RGHc{wR7tx*!e9#IjNsD$WvTY~%w%l-lUmF%2ulR#NuJCD8O6dkU;ZM0vqhJ6)&
z!!3tJ#dlsjC9ii|5x$TJHqk`=Pvn|ysog`v!^130$bC^cgMe>wFbRXsV1(J>7+nAw
z8d{S59NaIRKF8|&gY7tnqKr(H(If$UlHJFSep(pKdzZ@^YYu3|?E+4Uv%m%%PYV&F
zZC8lr@vPY8UlhD5g729kj4)?<viEVMW@kd5wlEs`Ar7WkYc%r*PR+Y1aMewIQG%!P
z5S_KZz5sS+>$aOj8eL4rSg7*XOEl10Z#`=<O33?`hr{AmS%uLs;_-o)gDel_i9V)X
zi*^ScTr|t}Bt97x3qc1^d`>8dl8k77<C_i0@Z2-@L{wZf+A>cHY9BOcZ+}UJB51HY
zq=AtUx1-Yf=;&w}85u3qy^*AMA<)AOF4u>xuD4wx@$vCC3PfSm)zy+|tk)BK2+v2F
zuYhx4J9G#ze5X!(k%%Yvl(TLwdy|t8j=hp;8=Wy)XwzV%?WdpwC}4nKF(=cQaJN)4
zAPX2!ZaQ9+t3Dd!f0M)&8&YdJxa(pN61=gXX(*Nry&4_i|6xK12Gy-a;|%BDPJe&L
ztYUVtJqYNjFOm3s%(Q3^x>d=wN$Fw;*QWRGx;ATL6zbzTw1J5Rolnz}eMNR!+}&;J
zIxdbTwdR^bFd3FjT2jaJ9yAKq>zhLW(nPny7=u9y3JY7QGgsBp!mApLA{1h@TulWx
z{Lw|LV-n1Yz8kII9dI$sVm81g%>4^+gZ#jXy_^^x8Uom{qh!Q*CP_tEe0+-4FI=2w
zVmL!o63bc}zP)yS)gt~FQNHTD+0|KjUWu<T%JXfG0bDA!x*r8~`pGtM4*ciq(;ip&
zCN0Jo-9Z*k;MKCu7<==<=FP*%Vw}PBYO`%|9SxGFr6hZ7)z)DpHanwErO}A`dA@#d
zc4xZtL_5c5Yk4VLzzGRY1;1`MEj$BL)gWL2!;IRV%n|YgJg9(4%;x3kURhb$+S>Zd
zL^<HwZ2|!Q+)x}D4N?xThsO)xiZXg1B3uku(rPVMFykJ8Eq40FdRJ7_l9<v!&DL_O
zFVeJZ&ALYDk-8;BjFVxoBn*l<_4~v9eHI@gWpy7{z~<&AVEg;H&+w~e8>7(+$K!I8
zNqt;{K|)CrwBI~D`wM017dHEcGxfs!@oS9bZqZFGv(=auDjN5P9tj%hbSLB#tE7i^
zKEt0B&MfBWDG4Xfw`*wK4!Zkh)MiYlepsRnV(#5nS69D(Td71TOG$b8UF4-$s8ncy
zdV=KEBH-v@Baw^{&r0PGN=T&=+uzY2vekT3SCCd#Qj=CwkXEo}{Yv5aym~d<e^XNw
zxG00cl_j5oA~G~&frYzP6MPah8-M-F-<dW3J8K=&S>KvX33+)TqAfB9zd~|yGArO1
z1zd6sviTCT9N6<B5=8xjBrF`S{1VpM*3MgkZ7&|24OWB!UcI4E*1oka_SLm?xRkcn
zb%c&;%Ybbwxbn~}CD$scZo@#G%v4iC)TO`T8L(gSF5m~8^jR%v&08!(v;4A2f=K)L
z=~Gr6VETB3y}-5)StZ@L8;rg3*-{n&hxkUpB_LKC;NfJ>Cvc=mUsap~aWUe-cqYse
z8*6<OONoRGzDk!7$xv-W9%W}{`Ku)7X0{fKY}hoJzf=0k>R<{m;<$YMY%j<&iBP`K
z_WZiv#=`HowR(jeNT({m5C)IXMa@A}Ag!CCW-dnALq~T@l4rS)@>EXdf^<2MWAH^S
zj|?X;jVk~AW0X$Y%fk_R9U%lAWgM12NDE28NyFm2nT;N4!a*)1sBNRO<-?6%2>?$i
z2vY?8=%I}<5odCxb5uUp%^76Y;WCFe@3bb|7PR7rm}@jAFxdS;vIazLr_DzNNsjA}
z+Y;(#GOt|sT(2>nfSp+v?24=L)l;`BZct1`Db7+2BcE7oLm6ra*KCbOSVt$Z?o4bz
zr3ruMqj%sI!BX9a+sjhbbkY<DQb4O(V{Z)UBy>14UvYsr?OpWFA?tR~rWxfsgza{?
zBxG&AGIHtsG5Yl}#<saG80%NQx?Vy5SE1A}FP>LFSxPFd>)EO2da-kx&eG1V9R)-y
za<KUzLTo=>--GSBJAw?>C!L(1R1C73n&P5txtu!E18g?nC7~S~fX{KhQg_c>(%pf)
zI*8A1sjf)hdKmlq%Q?rZaW5r23eLpWA!+x;wTJ=Qlm3cb9H;W%%)1Q5jYawl6~DXX
zl^aGdC##k#R`e8)8?o<Z#Nc^Iq$727OrQk3=cAc9RpAY;j+U!bA9wdKaikU0*X#*i
z=j2_R>ftaZs|C`ON)srjD*2}>TayA)E1`T~nx~88$uu>`WfYP#8o&LqHB@NJIP9gO
za9Qnwa3b})9yOd##KV?Capvm{Uo99AWn3XjKbc3Q4X9RAY@8oGI**wZFMr%FvWMcH
z^y{tJF7%FGJXVoeps?3)Jz)r4IBVE~C*LVf0Wrx$Ynzvo@z@O*d~R|?M4d*=e_7G-
ze1805P#Eyuh6-xNuLCfiNe$?z<dic5u^F_Er^~_>LGcu-has?2Js}-o2rpIY%?{ey
z+E`UuQal#e;ULk&H8u3;E@iH#jeGe!Yy^*L9QsdE+BDux0&<b<?PoW981R8ByYT+Q
zH5jbMU!a&lKwBCJ2neXX@rFo9a`~BQ_pc(t2G=Oqm}?}LI$Ia%jqs>SK-uN%!7a}a
zQR-Y=i-Ktfk-<j@yxhVsfHM+@%R^0`2n6GW_?!4wQYZPj&L5x1^2Cy8U2n_|5oLYA
zX^5c&71Z4a9ihOE2SJ~_A#w1)o^p#%7p<sYH>Fo}a#|_$Qbv_(%`w_`xZ_7hu~(&z
zX|dr8?e?vqtdJ2<Vc^Cz6o{1ufoYRl>MRXGe+29RN|>$pyD5MM%Gg4}Vm5tnlE5J3
zK&r3Fniptp7=<yCUsJQKXCa|iy$f-#VYP(MXfqq%y?1N6^WHRyxB&-L;!5yaFeEhJ
z>%}nDa+zj(Tc0ue<8k$zn(ZhY(=xYsc77BdHO4VXJq#LU&ux+~I&+?PLX$uU>M;?E
zH)>x{W+T=EgVlP65UzV{@}0FrB6X+RSCI|CJ`%-hrHHk02RK@CetPGeEL88cIA1dB
zhQhBoZNYt+1up)lLDCGZuRTfiR}uVmeeyF+AN&a3e6vtkVuL$Q)uKX<2<9f&g)JIl
zu-Xl;tJX8NIK@^;>6hesBxAfFKUwsW-#InFB16=xypM|@^5r8OucI?7n4KXl+7c=r
z4m^_=5GgI!v2D2+BEupJ<<G4WKEe)WK?~nEY0uX)F&Q!)=cqDzsprO8%6leORP!9h
zMp%S)9IxvX@PDrgze8_)A^Bw;Vb#N5I^FG{w79H&wBb^oEPg}>o~#ZNZ6RZtoE<UD
zS<s@ApP>qOgmwO1lr`XqXY1APs<$?UP8dYJYC0;L?(Rj6Qk`!DZ0m^nl%!N0!55<J
zh`j7wQdQpUXDycoBZ=M+?-oc&gV*fm)Bz*Es5TZp40SR%Vc;+<6jbIC5SNpaDU=`a
z`x@~3v~EX>YPFz)IV4r%qx;}FK0i1|x~JoOah(FJG76)fO3qGt?GD<VpbFQ!*FBLr
z?$2(AhP!cokk0&2m>aaE5053baoW`;wc5=tT2gvT=~$~=DU9Y-Ev4yOa&9K}Y9(zX
znlSKcB!S+)k9^MfW256VD;@TtjJI4C$91Mon#;Km5?USRthw3)$UI+nyxGb^&X(Qx
zgDT^xN}G~RU!L5baz*72s4m+Hv*aRYXB{;><czdzT)Y9~%r_t6n$B!Z083DU6N=ey
zZM~Vji8e}}goav4yf=h7cYj!1?&N>qN8k{8etv#vr%Yr8gf-D8MR44pV^J)V{z|oq
zG;uY~yUK~+Y<fIx22i!|5^088w8Teo!p<mNJ>;cRz;Lb<WT2;qH{d5qqQ*kXFST7d
z_k-eVr+3(5zfx;o6F00c*fU4q@JBi-OLxfPU&H|?lpak3B<IfjQy`59(9k?;lO@V@
zEs)HHRX~s$5YKcBgsa@1uDAlf?Vhhd(1dk3%ZJ+D5VRa9-}Y@@yh?-7Wc}gzpRs;$
z2MeqP!Mcn&!wKYOOIfx~PI_8e(=b%6AFOq^`sAe}Z;lsT_QVqqj*&UG4hK`1N~Eox
zUydZvA`aNhFD4|{UdK7;%A}Gm+h5(L1~hUW>OF0LP5;0rX*WE35k(!7{S+OJ#aZEK
z7$~taQ#zO~KRFoVT(7~l^IWg7>#$cBrYM2Y369fp`LMifX5;a6TD?%tem&62#P#9@
z?Okx#xlNUkdbOM^IY_slKzqatCM_-95?s)zO{0w{Z8Zl4Ma7oig&D-2K(6f5#et6x
z>fdn4;~&8-Jx0OLtq<}3z5S8Gb>5e5^qcHm(S@L!gK42!|HO(*MdOxmIWQAn&h5<*
zD#1EdlbJ6TNVY}Oy>jo*9@T3JYfafyLp=|{Xs&Lr@yUY&+3hxHIktJ2^)W??hyqR|
zK<9YUvR8Rc113HSpj!t-`CRQ!`ua|O_%YmEW3Mz)Exkq3&T>@vXxVPiiJ+NBM4UZ&
zI_ro?)^Pi)*w=@T>%m3)$N?MIQ;WotnuSH#QLNqUDYh^{-FYj}a{R%x7r7|w*kk|n
zAVJ-JtGasiaU*4XHRCy2<#|3h;i=9@Lt8rzAG7AsXE5PC{mb42<5s$S%;sjcYFUz7
zQPpOj>gnK!Si9X5UT%@)*gYo|li@C$JndvCO5s_{i`ql*476-s5ee!G<CSR#elMy*
zyorw&C|H8J!@}*FCzs=?S~w;Bm!i{nY(lj{1(BI*!1sg!O6qd5y{#7)5flZ!B<i6p
zRy)*(8e<@`kYJKZ+?S@?|B~ZB!IWiq*m5-`3WVfUB%*`3Jzvi)T4}^H+mVmY<$K5_
zQh@p%fzfPBR<`w1JL1qGQMp318?%^=YU|I0#%ebcSMw3(z%EsqSOOt!0VhDz*A(m$
zo8xI{5!9=Qz$3M2zhd$`^vI>Cj*7zW1<@$2%b&+v=VMvgdU`~GG{{B?2io&5V{B)k
z=rleffF)M;<eJ7TU(rNnP2EIUG_$%0-h>thF(Vsr@8ccInKR)I7~y_4mgm|f<9d1e
zEZK5rpdk3*>$vL0ei2Z(6}SHT6f)iIcW{F4lAYJAD04%8ON-e`(N4FJrq$)iYm?sM
zHPd(rE$x<1rQbn|!vnT&KzP$*Cn@UKtKd%k$wZ;}<5;nx0?Rh#i}UHca6*BbN0=)~
zbwdH7!iAjky{fIp@9XQwo%}O`lv=mr#@8!stJQAF_A2M+!;(-GIT*N*yZs}9cMu4q
z=J)c>4`RO6qyws}{3aj3Fu{NT$Ct}-E;I@ie%@gsPyvG6D2I)o`El7Tec&;&wiTiL
zD$qY!oiDZpfY`{+_h?#*VKP3+`&Fdk$$mfhO!fJ|L>_^dKvEKt?5n$*B}?cUy{Z_%
zeWwOkLOy08d&>bTaB|7+`y?TmOI1OLg}O-KAPV_04EC9+1`ao{{^9J`(1yBbAdZh0
zdY$WlFEtCC&apL4E6-%-_A)e|xikdERgT5Rq;)~dL%`BKU@!=sK+?a0tk!hdFI0AR
zX3>Rk7#SNf!kAW(*La+(a=>OSwyW28ZGa~t!BRVaq~dbB3?4#YE;d&@7(|m)Z`$uK
zTX8*GZgc)!amn?%FCJ&POm`n7eGiFJXm|Qm2xWR&hL!$OTKsNwuuvwsdzfH(mX<>7
zBU(Z)KTBUnM;Fr1WHh`?y&q44LPFI$zWMwJWj9SG_GYC~$|ht241T2{O~kl+pUKJN
zYKh?{6LoKWj+o#%obKt3r@;9nnH5VL<0pn`uZ`t-GWamhzwM>~ez2?>%eA&QCu&y_
z0OpKa3&8`@6TP!34b|u`3WQ+4IgOedXjp6MqM%kXP*zYP^6^s_F8GgjgPHJmGkgN9
zsc>VbSOTz1E5U8ox(OMqX_|64So_ogU+?#`Dt(*D*Q^i~rq<dgdqVO`Ra-ZWHnX;K
zpe4EN_Q)*VSv@ZFg;3zdF&AP6A0F<pMLDw#(&CcJkUM!gbx)nFcAq1xQ!)}#l9Y+9
z<>m^k(O&j`l2Silu^12tW_+908~@m;xvA?hIq$vSgX?k;*OAAw;&OF=k^kxA28gxO
z>uCeyi5vpsQ=Z`-!l_9unHStUVH8VVkU1=In(W+&68K+I`d!6Y*)-J}sg~;};aDuZ
zD7>rRP9rsm!m%1a0za4*TrK`UkypoNw&Et9C@uCLNzh>gA~6*NJHt`*;h($pkyRBN
zUnV{+mmVUPLJ^FwuWKb2V5N9MclcqNT<(rKe9$pZ_eu)T{}k8Bc|9suP*y;R*qu|@
zSelcvX`q1(MLAZlqP4zxKWKGBh!=2jqq{$Z19%GDu|)7xYE0g_-u4YkqJEU~cjI!i
zT6?JVbU0jPJ1eOl&Ab#mpM1E8as0A5J)3juB~O-Mv2w*UbcC?xCQRYBJ~7$;T8Br+
zQCd*&`ylY_>276?fqT*MSj>nhl(YZ2J)cE@#Fd1LoZyG2WGnMy%&i7jg`;A|3tyzy
z>1w4vwA=ZlDxGD^@v^OX?srlcQQHrqOSKi!!Fd!yKnQg$R0sd&xA1O6&%TE`C?RRp
z&xsO;WJ+-)SKwoO4Ug!dIup=X_-@r{<Rnittf*!g=)>=n#o~|8<}yo`Q3;O$IYf!3
zbE%D>zU#KyDh;Dw38Rb8GUw)oU1FGEes-9z&|WNsB>AoL)waMDFTVE7ozwF%9<FuC
zA94Gl3I;+O()lP2!Qo^Q4P^wML&e_s(?o$ZNb0`s?V3-n?SuKPE(c42YRLLTPyk#p
ze-YENi)FO|g&@K{b%7}TD$A?OlK_WB3}tfPNyX%rJc%Yr42P+BMVnCl%QhcfAS~Bw
zpXynw$xx6*rFh%R)yiwjD?^4}@=_+{T85JjcS~#6XY&9cp!yIG%&8FN413%Ti~>mm
z=Yae;&v0{soCuGpeLkSknS*9zh>X>Rz)}khfgoVdWC-jtP9l9JA}F^3>5t5Tt_KE%
zEm5;U-)>rLrnHt8cJg17yAu@nj6tQ-1=2YH2r^r1OUr4ZCr0}D#WAQWM=&33Y%H-}
zHn6h7svj&^%j}B9?as>Q%<6(FQ1y7BI`B8H+?E^TlcLe^4K@?@$Slog-Zejelup0V
z*zDL&G~|fyexQC!#ORQdp$Dl}`y#l0g>1W*N*6$!yyboto{tzv8-}VYgFIck%l4!U
z4<Ah*X$-pL$x=PjwA820Q|8}=v&^Xq8~0R<a7WXWv@@s(BBdz4;2=1XEI)3!Qyj3b
z&9G>G`1<g!(+&^)M*T86$Ql)uzS_K|_0s2&emlGAZ@cHFz9Rr*RM;OqG%TvC>X<o@
zX&X}y!NFv1qB4<~mX?&3goH8|pp;JXSV&Xdkoz>9!NlpJ&V>-ntG4C$(}xD^L2<TW
zW)Z9Z#^7Y1vH(GSGo_361Xoo1ed{w2albFVkjqODnZmn)A>gTQ-TMivHD_GgP-&%<
zSfFl{i=ucxEyF>BX`wIi63}owUtKi=QN@LB&5b`-j2RI-B#m*;%09>~gS6KUSF8}Z
z-JsWX%XVoZ=YUU*XrSKAAfrxi)2qcS)Y{KS=_-fs&}QAySeu9K;bK1{aQF;vX?6}S
zn^NM~Kek3d`1@_*U!9R^0_QoI$tvxyhQ=f;-}K^Q3{1?i_CpbhLCyNh{UD7}KurfH
zD<p(U<o9|et(*Mjkzdq75%_t7GDn@-up-x~xfsi$mLP@&;*;2_304uPs7M=6_)EN<
ziiB|BKFhlYIsc%lo9sqK<nDJuv>!r-*njkHPbv{1SKlCsxW5C(YOCChIg3;;>0}SH
z%z}XkI4Ob;)Z2$!3j3@Q_s)OnbDiQGs(*NGz)7>?SzjB@RACSv2cKqSF!Co1*xC>`
zic(2D=m5UbGPz=7!}nXe%A}&24<^IcXg6CW)Ph+)Waa8hOwYA$#>T?uUigGkCe1cR
zpZgX)>2>$KbtBZK`>(kds8x++u))HKqr*>1n^>A@);6ldScz~@Tu8?X_!oLXdCdm0
zG9KU>>7;6tI5?t{>#0ch7hxdjtqk-ARQO>l#b0mgOY0>L4vlvYD0LK;?-*UWCg43;
z?lY(INy$gM_q<qf#1WTtjFOVSVUeB-aZ5H2%uPW+D~Z8^jL2oSar`t$&fsMGWZ=;M
z9I<v^PCB!_GY8^5vfR}uTEAv(d|NjvUc3c&I9%FK(6PpL_O&IP&tQLk6^oX*-(eG$
zQg$>Fao~5dlmrf>^zW;z6%M%BdrusRVKQ90iXZ&L*IQNC?u&u0$#^k)1S3DlUYN08
zY(69yZ|KSn=>B?(Z3>0oU<js;!2f!_I(loh*#pg=4up!&dEQW4_EKtKON!ZsGw;=;
z1Kx`LW*_bxW0y^6$lw0up6#X1{8r@>IC|PSnuVmf?GN^siEX72j^?}2F;Oh@zFytI
zL}QaZ-$`A5a#UZ;*THYoBB=%h1RV1DRhf|ARo1-)EC$P!r|A}^Bh^Hq1VF`uA8gIQ
z!V#dw2r-<d3b;z774{3GEYcsE=`1|>DmT7ILol6Yp`6L#1|ot#MRad~%Qc9>;HCsT
z1;Bk~9u2zNi<FZ<&}_8%nS{f<w-qIXgHMV5*@Yv)c~0HY8baOWflHdG5@Wq<SAOl2
zj|{;QKE#CKV*D5tx##WP%4qjHNV|yYQb^L;u5hsKcck_f^7ZYd3yNxLtj6C{^N|#a
z74YMDxLxJ3{UOTl+h4A!e0|-pW*e6tt??2DgLy1l&LNg_&$F3Fr<8QZqz{f~q2u|@
z#@=4ynC|FY6ofrKU-$-wr}=&FqlfuLs~-OwOJ^V&MW#x@QXFfB#iUCM;X&^^5n;kJ
z!w~l=e<l#?n_AWg1Pz6QXaLVi0PE4nNC1LHyGOuk2oQMNt;$70B4`@q`TV971Me^Z
z3kufU9e|hoOSwL~yHTGn?}<sY+19w+t~lP$;DgQ@0`{DA-F>V1Tufet-2gI<^Gj>L
zxgvA5_QUkyCdKq`8Mpm6+cRqBYC^<$;y8<(McyxKbP>zyx_gkfX9qJ~AMPjCisKQE
zFStS*Jc77Tsqp-oIs1#Q?(ol7wp2aZpAehqiZMm>%Y{H>foK@#K5qWK>*6{G@8hNg
zkGF?TB%cqJ#Y(|^#(~I06sLtS)1)%eh|mJT4A!FOJ5ZXVI#NoNTG9=r*$r(*H4Sc9
zW&4zPZQ1@C_E?qQ3!ANsUhBCe1jBa76|d8!-Sr0q!%w(w#qBh~Pet;@>#s$Ya`Hak
zo`CSU8NH;&#zw3Qh(~7NeOB0KrlPvz7i}dBFj9PYcp$2ni8852%SU`0jpf6K2Q&>Q
z&?S;95#Z5S4rdIv-4#UTt`qD2^@`(~xYd`EGw6GMzETQo+F!fR2cBkPWoKK{G>qBm
zVhuSZEBGbukg#bk*LJm79`BODAt2{6&Ao?HnOhz^QSxgPc2P(rcX3$UytK|piUBNn
zbmNMPQ692yQI&i@A{&>lXwDKUb(w69-JPuP{w}uo7rxeoe68)Lo=-yV-uFX*1|fMR
zwB)iCgk9&uf4?y=xa49bNcOnl)Bdy-!KKxcWeg~BReI5jnP$<!=0XE3_SsFYgE@?s
zaIO+1OSV3ELY1R@*@VdsCeNDYZ3_8KeshR?wH<Mv5z-1v8uUfx4u2gDxkc$WA)8|i
z6CxHw_0p#kTX4_gpHD8fdvZaRW5`MM3A<3R=%M{Y&f<ttkYS-L6Y<oJEF9bGNJCk3
zZqqv?8+hr=#Dsga3w66&Y}0+<&lnhRK6|W%d0l+oBk2!1<>lp7t@$zi(y4>Ya5-iD
zj=9S1Y2s9gZS?s;w|1Vm{mJP(vF#&8>TT`N##4H|hWqZ#5tX3a{aLex93%`e)}rf4
zZ%**D#AxZ~IT^Ygqb{K{Irr|i=gsanYeon5ob+p6F$p3`%vKQm@ydM{3IZNbVetlL
ziK9yMaep9kfy+!%f~ukv#dyaZsv_adL2?Jg0ghIkY*HBTp`)W4soIj(5~LHeXK<w1
zF0*_<WvoH1N?go<1V>E3<3%Gwjd8n;7Bbg)W)oVmbw)Tgl%cysmZhzAgF#v4ft}S6
zx-y;Xn7fV9yj5y&$X7t2oG$#$T5JouB!Hp^-H@rb2W<?VEriZuG=WD>i)4;$m`;7o
z03W7InmwVY=^p31STjUI_tl?6K-a(I3b5V^ewJ6S#W^7`P@CUrGj7F9bv0Ovf-O~b
zMaKGlH!Qhk{Ay!cU3p7znd7M8ewCyM35zpk%>6s9N4Nbbudo%kty~^PaN8fn!V>N1
zK`Ct~DkjTYA9r@)Ob4i_sG46cpaG|oZJP$YUeEl2qQuD1&;XaS%~78{{f3uFI8{Wj
z>Fu_t<;g<j$<jDy!|y3FW)*C0lYYvT6J>vsC9*bwj4_%s%6WVC>WP=tT*x!-^&zry
z{?uUU59~>BXfJ#}ynYWWOa$Ph&iLJaM4e6_>jXCsU4&4*F2R=qf}sZ-vsBXgaFoH$
zId{vL8_aBn*3->N;Hz1~^O%tMCeRm~&4up|1WY58uC3CfmFaf@<WnJO1e)r%8qre`
z5O<pzHGuOBJT$7QQco*>)6=UpnT+Qxpiys9pM7~h7}|p4KX{876n*%JKej#GX>LC|
zkwT@C!dxI^W+}v+o<k%e!oE!2bSU-3zV+$X9)(J;Lj=szX1{(#qQC$9)<p;^<!aNV
zUAPSQyWQ+hs)c>Qd*hroOqiFXuN(j-os4KNWyRQ^d%x!S+AGAga^E4YC^qkc&SDW~
zffT$8Sd?I(;o4tsOn;q7xB~{e)Qp!=pSX{$H(k0`Wfl4GlZn$=4kyCjm)yTxzZkbN
zA1DpS`t1>}TM-;Y5_e1Ee<0RjL7G5(v~KX_YpQKWsqfh7;1Q2zj!F7Zj5(;QZGGS0
zehOza6Dd1w<~2tatSxNZdn;P6K}Xr9OU863U@XZ4RS6+rE>aQPqvr~Q;W2*xJexPW
z$f^j1q9Ek<+3cjF%%PwwY$;_#ZuUyxp$2dc%HQ`|KEjAds53QMYUz@tT88drjwf07
zze|-a8~^&XkQKW@*$&3zQ?-(YLZ!#3NI0kBY}56A&aCBJR*VRfB}Vnj8CSo$lX1#T
znmpMBo84h@QWAVZ;jHDSX_cR!AtB=972vji7u%*72=wZ&QE)kRzkeMW-QfEkXb%qR
zm*Dp$uvf43smp@%YJv|(KTX*c*N-Mxmx6?D7W4Xz#9rD*U;pMDLZ3%F3w=70RUz2t
z&kwN2IJcL{J>iNsbr`6RpMUf%d%&(tyfeWYyWj+D>5;R+hs$@MUeE(x2-Y;_QqUNV
z`>Ux#(}t^>6-)j7Xbh2n>PHtcwUj7Rs;{<$QuwvVV=C&k$q#KiLoTTS+&@5|=4j%c
z-=yk;SH%2Q$Ex~@>&<M0&O~Y3fcJrix~}AQtl6?_m$$o!qCFyLHt&VuNLOX$ZUX(J
z)e#<idi!=G8NB~{hPuFB`f9;<Me@x-+JW;>yY1R*T$8sW<kQXqUHYsDs(Uw~qqrir
zb&CL|U(#hi9W?Lc$Efp-w#D@ob$Q*5c;^lJ;_LE42xYgPNIDhX4P){eo{z<_a6d4)
zHCL(}+{Q*qdX(R&X=0B`^#t1M*cUu=zvk(&8bmV`g%yaeGf=A07;CcPf(hX_wOHgQ
z>HFZ^$O4gcvj)G9`M4B7^!ONsb4U&bMVo~K3JU6UfMkh<z~v-v0~MueNOL~okIR|v
zh{xh6HO}ZDF|Hb{eOotq<oI&|I-Fw^aF;=HG%xDJNH__&qrC-Vi!-hCMA1En(HR%R
zE(Ie7U(zmFKl_`rdE=~D%!WS`815dD8W=7bbUV-)Eos^<nb&7IJ_4cdrH3Ypyb4pn
zKAo+{KeI?6pRatGNWzW_pIr|QAj66))Ana-(IAsGT?h9;)3UDwF*l+{18$A!a?jYv
z^8Wn40ECJ!rlLJL9>5UJUxYF|FFKbV9bnrJhJqtFADfcaPk`4_h9#Zd{W7oh0+*rv
zwWRq1a#GWMFGm8Y#t1?7%_pfWws)>18j>n1vuMf84gCC@XGu>@aG})-mY<#V7(d_U
zIi5+G^J@&}AC>k{*9q(gr*4+S5XbXv%qMR?Zz-{h-$IQ0&8VC`Ujk2+34+}o4)XKG
zQ}PzA!od#JeMGdZg6rx5KSJJP6+^;w2aels9$$+}b3@0Mj&}$Rb4A$inc8L(r7@}C
z_Y*(wv6={^GFF<-QCa{Fe;4+)S~p*C0?4sP3=WqXo;LaV8>d%v1V8MPY=IDJd!_oa
zp}obfBj5MU**RUTeF92KYtFNgb`SRqupvP*eCy9B=;-v9Fa1HnGcEU?qgfK^BchUQ
ztF$CzYioY`Mdw!+7dFZC#wMBZv}Fe7V_DlJgkKNnsLF1rdKTe-w#gz<lSE5kj}?t!
zi$a!QHZ=`dcn=r)E(+pw?j1-nhO(8*e$Nz`$zx?N9W7Vy`5j^Z_*jE*GIxMGWqzV_
zQbJWF#s*qb$+9-X=?*ZQhsw{-X)n!DixryJVSfUDmWs5~$_!R$I5HR&dC8VPVot-A
zqKb6{?i_UU30*G(Lg4LDi}(O3GyFNpI#mQVTfqJmfPzSP(5+myGBNd+!m*Hw9d3)f
zi`a6>=;%<^u%Gb_I(YfBGz_U`HVr1m2M6CgN+WU=?LoF9JjgZI1;`3%SfBcmejl^T
zLinTrug$+e+sp*>#7DGovDDj#NDUvcl^a~fS7L?~hD}vuwWs$IwHr@o-e9w-4(P~m
zefiR}K~A#LCm4t&R*1Z6DjVkqJfUoW1)Yl&ijPrM+SNgg;W0&{fi+(I!ZBxFH3C8T
zm=fcC1=W#;*D|w*7*$zOfyncJXgbTNsQ$O>Q^L>;E!{{r(%lRlQc8n#Ns4rLcS*xf
zy1PrdLzI*jX#t7n>;GBz8(p$oGt8M2SM2@S44+4NQOVAo1Vu`Lw=d*c?q_aNQokTq
zxqTXkG1lwgL+U(2;Naq*wD|;`ST%I&BA}p94KMfFRJo(SoxM7okGvf{U)L&ywOvjL
z&%#$YarUgVb!g<ErboIe#fK>+Z!}n|sTwa3)s+_%6aXVfElw)7;Kzsak;Jg>hl}yv
z)QpT#8$#C1U~eE?!cZE-dDrSp-8U_1HI_s_8Y9>f&N&`{jI}cozx>C^o8%f`GzP&w
zx9@<YGU5&V&BpW7YxtWL43lJu@YU7TFQG^y&(7*IU@&g6^@_~$bRU#PWlC))Hp}I8
z$-a+dd%sT47Vmh=iEt0%E6erY2Mh?OV*y=%uLuG=RXl9->X64;wZotB@NjTuq^x+t
z!KieUd$NbAnkAHv`u<OEAmaXHc3GVfWOuV%y$P=)kT(V@TdN+`7Zg9J5SPB%`ih^Q
z@DtYvk9wKuz;iu9j;TWUhoIWz%O;y~v^)12fd(OcD^NE7bFtmZ{^IIw;RA9l)PLL7
zEO?d{=a02XQQ^b*@D*%1LSlQs)PbOvRTMW8LYaq+McPe9LGBhBFLpmFp<an;VJf9h
z^}hU_+aw>GK_iv#9MFDIe7e$LB_VJ_6}B@CM_z=O>@N4>>BIH}KkN#a*^<CkiX0z(
zN%7Nlxc>Z4Pksz_=J&Rcy*|qQRv_7R5v8<Tqbgn)jyLf2>%7?Y_u-Q^2a`v<${ibf
zUKfH9LcArUEqZ&LHHT2tB!1Pbz^aMyacTFwyu7$wj8raIF$Hh3>{)v2-(Fd2ZCX~r
zId!BQJ-vY(YD`&)a-_^WoZ=!OcC8+{)G#dz)C^1$wt^N%UIyzZt?=mqx`1Yq{4%VM
zbn-j1vGR5N^3tgq#8@nvFmfDQk6&v9C>&o%Qm8AA(!4&ldg}`yeIAM)uiWEE$AoC-
zc`!OOnfA}gPzRtP2<NMb-G#g@35#r+N;HsG#$|a^9Wrd7sdc0m9RRdIS&Ck@{!@y0
z{Etgh^U=rq1SuiBk2SSpLo5WpDc`_hiHB<%{(dyyD(5V4mgOB3f$DHnnedv%*UG&<
z?Q4a=Q|$CReP)$ALLHN<j!Ysa?E|=gTV-N(nNLWE5@Zn!BtzAPW>}1jjI^GE+Pz*H
zy9H*$Y0wTGR;8_4!E=ZPyB592Td?FVul4w40E3*teQ$GPB%@F^vANZ_{`D=L1CPXw
zdEiDAJj+_6v4}b0Vg=<hFW*WwdIN(IyIyVYZmWfX<280=OprpVZZFmX86GT49{bkE
zg`1TxGYYlZ(dg3?E#<?fvAgexi0g8+SIHG`5C8bz{$0&R=Cys_Ph8}|R?I%3t48Nt
zGpkU$Y84)qOgZiu?N*H3@$-X(-S$ZcGEoW&?Z;7pbH$aVN*5@*z<{hK>B8EgV7v%-
za{iOjt7?H3<7HwyYaP!c{|2vdOrpV-s4qfElh@1s?upfuhH_t^@L#aGcth+0<I2A}
zhb%U6v(HT_sLxvC*C1|0uH&<ZQ;{F!Cf-PXwwlhv#0!hTb8vNk6z16IWW^&){%pEg
zOHUPuPk5^C@4B<uKqMQ1?SFsB82c^w&>|DZ$am%X+_M~*Q<?otktS<1v}+#_bcW34
zkXHD11K&)WX;!|5t1W(x<D!<2`zb)D9Zo;st&+QQ=)KiPCcwyQ#rCmy6o2*aWR76+
zWHI5filBU9V;_WcU!kPK<XFKM;|B-XOKS8JPJpQx#rkJ>8+=sd>HO#1y_U@=D{@wU
z^6o54fbf?)HxhgBlv}N+$ix}IucsUPMfyaM3n+1Vxj?YytzO4fK~a^B==fg4?N=>(
z?<NZVIl|$xo~790{_mr&;)ol`{emY^^w<~RCO)0@lJSGVFq*@#^3hxo*gv&+=678Q
zR>QLQxnr#ht+_Cju6HpMtC;yrxG=N4ZXKRg6E|uEfa<v^-e!5L@hNwm@@Z_%M)?!Q
z$m+S7)>LV_GW@pB{wP@Qu8KtOQLCYCN7}&Kzg{CH{=jEF?UMKbUg@7pLYDtW_p@Gn
z9GelRQ5C7#z-h6|<1?wv)b-`-&tC42bQXg`ad07Xu9&WG2P&oi+Z-(jo0(~EcK*23
z@ms-1QsXcp?_#kIMfOkQkVJ%@$)N6loI*pP+{U)jzQXz~a9n+F@MDpe)tJ(*V`&9?
z5&Y;w8}=k!_R+K>Jd~lTH6J>jmYKBSci*js!h*RHReU_1_x%i8VKq;9|ItTF2U=E9
zw55HS;F|9|>s<2xt)MhM;R*Bn@nd{;A?GJ4mJ0de)HkA|++zS6p}aYWCgSKmsUL^D
zJ|_J4_5z0Wx|`8DLKKAx{-|I7V>roVPf~r+ps&{pB=qT3;(D6Q-AT_>vCv<X$5;!(
z`&WzR!U6;jB*H|$^GT>(C0=C5mXdRNsJt~98Mv~o{JDO?X4t&R6K7r#I<VOqoJ+{H
zKe;esNXbDd5?(&ANAZ^}#t0}g9B?o;VA%NHaf{DjYIFId)avY&UR$tse$Ipa<x<I$
zQq{2Qdh{wXS7^jr=GDjjs)cc%=0F9ZF+ok9lO>!RGNA$$#b9)91*7KLTFxlv2s)3N
zOC!1_$tD{wZL{<CB4IqYVeB}kU1Q<hnJMY`+?$PW@q;5s#$t1i*$#i)h^G+O+<b0!
z)93M8VNxH>h}!)geb6ai?(>$GmiA|4Rs5sHY{yPfOD^<%isIRb#E$wan4YPNEK70i
zuHV2zz%AsVK5`IIihP-3h%-9HveqixR#@nJG<w5ELxRrGgbq&{L8rl#;zsvTfhT-&
zEk0O&7QQJ5XnLFz7lI4^+%g~_FDbFktjKC^4E9ULX15CLw_MA=KAj|9?fImgLGa<n
zQ1XW(XQo5%kJx3F`K);&0@c=koy+1ZP51w2^?kc&TMSveK1KMP%jlf>>XQI#_&gB-
zR))>dCn-S<JkMDmM8Y%6y}bl~?{m_T?MAM~B@3ket}P2ORZ~#teUqZu|Ji(~$$SKh
z3=(k~5-*tcF2t5Z*n>3)#>_(|jWY*P!FyLCLlBBdpYc8%D=h1U+TV8jANl7$lRgdn
zZ9bf9)_3>kap$Bo40@DTC4)^-d}~>}dtA5Ke}~fNxsc?*kQA2{km)B9i^Zt}dgL_8
zNfDxC+2cQXw|=XAPj3ycPp_u8oEiS}*0Pc`)%S6fl+*RwKF^W!!$kIoC0Xlg+h<kx
zoe<sE&&WWn4&oa|+gp&iDXQc;!6%emInbl8<Ke2cYryFA$C#Q6vE02H2N;8aFx;YI
zaDq((=o8Qu3D!htc|ZiPM-)Xg_z!9;Z>I)=yMX|Y%n?Z?#86f}s)Q(t4&StVYIVEF
zykC>zmtgk`=Mu6t#SBkO>1Fos?X&kEVj?hXcs=j>%o#84J!}XJ!khL7O{YegCPv59
zlqMYxmJ5tWBJ746X(PJa1C$(q&+d#J3Hd{mE#CJJeU%|j{@>P$q%Uum7KfkaYlL6-
z2nf_BijA1hv%IF*)|&*D6y<R>g7lPJR#wdS2lFC@ir)@;6T5_(V$KApt8pwnpV;(i
z8iQ-3B<<h554X)ouu*!CQlvPcU>EA)C>dCgYS`k~1%On%zbW-3^em)GNpnh8+uiMG
zwp_euFSY%ozGf%!evZbGtHg@|m<BYO{n<2Inc3jq+SiJR(amxMdMRNT@+<fkb{geH
zY0%i;J%!5`lT4Rszw9@dzi4HbkE$z=DJdB^j$8GSU^USsrle(iu^vwxx~b+?e<?3#
zWfIoW)=V?jCZt#>m-X7=pAFo(=XauDzdtuP=d?@$gfJWk_C=4kYkHTwo35j1v)}$~
zTphG3E0i~$*WrB#>P}yA4DE=UboOnNJ>gnU_P(5_c%sf3*o>Ip4<VuOUtJ2eB<8Cn
z%XRmuknr0c%*N!%t4$I3$2*c2#i9RF*W@s2Jp)rF#yn24Eop4gK|xVE9N1K@aC!r;
zU=ie_QgVDmGwEx`5P3Q;?y1zX?X&cGfZO0SMKD$0Y&)k9@~7|QNzBpk$~@UEjAo}{
zrV#R6ICgGfIQFvI1C|aH&**nekHqgn6fU;2!kc5zq99z8j(bF@6oPqfub3{c4!;s)
zV_pBkogb@z?E1F+PS0p~xXUnmCM{7#plW5KtlM8YzZAZkTIJ!W<G0?smH`?(93)$r
z-WN-{d{cd01VTe$XB=!D@Be<DQ0Ykaduk}q_o5P6)sG!%qqihrL|4*kxG<FAJ)EcB
z-a{o<{;Jk>^)qd>mZ5G|XQbJCO~*jD&UL4+qDUCygzTq{8;>|8@Y?U}tZRP3IIf>L
z?fUaW`lKBYxCRGhKCGUF)&{@tN;I0v7dIB>)XJSl{5v{y*-M>ktQ1*ZhJk3pvPA@q
zsC@rRIh}p65O3#E`aoFqc7}!?lawDOs-2<Ddq{>9v`+M*oiKB{Eq>jl>-AODbZMGD
zu=o9;vwChjR9E$5a-A#~_IvWnxO5BnXzAyoulr8pu44Y2i#i!)WYZ%zBkg(k&o?Oq
zQtxhek+Ov6x~I)rirFu-F13nkK@zzV1#x<Yi?^)Vp~z=W4*_}$R7@{J!S+x|NpR;6
z*>hNIf0mppO`Mh0&au|>S1$5yqxR<{jqg%fK4~{(1b0b2*jIo&bgT!XNbq`IxP5aJ
zfVTKjW#>b`pvjpW<d?uTa0*A-OGL`Xcw{6~aFGpeClqw7V9_*6@5)7>RUU?V<k(=j
zg=LQe!Nz8FN~(}OUMIeFX)Kwb>u3V?<NdXCbNCEad+<ygZBOK3QPtP3AL6ZPz`XOf
zb+7!c;C6UoVN*fQp%P22H^Zz3H9i^#e;&5;Bsz1n;gw{d>S8lgH&J-<pcyorEB0x4
zxkb#Zr#t};CfFoIR~z^2{%clopaTiz{`gXq88f=gYq7hvJRmwuhg^pveVJCBJdwA-
zIX&`NBmqmJ12Q~yYLHugNJ6A|^4+Cx!H_c3Td1k={bJk>OAAFlXQSKvFs7&lDnS`@
z`j^!W=K9%^fp0#eDPOX}oHKR%EX^%1k+kvFbe2098jBEOD!`wHD(~f?>t*lWm;J{4
zOx~G-yVe(TgoxFVK0f${iJxCLku5{H)z%{OKC|QXuRvp>aJY;8W^;c>VKEQqPHVXh
z8I7mE?TEj!QP83f6Gq;$2yv;=sjz=`l;hP>mlz(2B^}`icYX)3GeA<z?ZTfDP3M^S
zRTg(z;U~@5T~1asU0uF&;vija5vajJeoSR>NxLP=+!fK`%aG`@ClPaRy{<5#L&aVO
zZS(Iv?m*9>v=s3cO0Z8Y`pNK{;aQA4DKdNK0ux1OB+QvVTw3VEC&of9Ptm<FT4rnf
z0i*9-KTOHQG+6>A7xEkb>wMR!`6)=tk;{KKsQW-4_KCcu*s$4tZ1p`1!wr_Ur@>lk
z2<I|cFz~VYy?W1&ho8dJlrz-TZPqWTw+chf54^t@jYJi$^Z8@u2`Q0##_>Mu)ixI*
zd}i0slay7AjxP2dWaS`V?I`gdK;C$+GrtPBAvgQ(&A-!E^pb_2JdalZE6U;SLA0vW
zrUs&xT{1DEibN&H(RGE(&c|@w@8RKS?Ixfs6XxX&D1`GK9`uuJ@+Jx`2gk!hJBAJ3
zYV|*>a^B+6K9(F~8wqvB)@DqFtzG_I&Y|U68=eY}u$qYiYux;|e}I^~`~HX}O+u!@
z*zYd%Ew8I^v7^klUP!oYD*^5-MpU>qHWL$c5<DGAWn2<SKFRQ$^l(XUV^DudB4pJI
zxM|as;Wgh9;Jb*9rn{6Umsz{*mrb&jA^A7RO^MzGzND{Ak~t7H>4{aSsab8c5nZIc
z(>kKytDk``V8#tLqKKl&?wuTNCi_;NMr-CHf#&`WV%i2CU$4<+@&};1!dMhN?n=uB
zlV%9Hqug(w|LlxHxwh$u6Reis8!o@nvbQ@Z*PWf6wXv}QhNrkJR6^x)znNEpwqfs9
z)zX(fKX<n;cc!9VKCk?!v9pgZuPjhKZO1CJ==<G_f$epY<)?z+yUvICa@h@VEv6Fp
zD3P)#Kj@EQaZZNc;SnibI<Kk&JM_GK_2J*kqd^Y8)rB7A|4zw`@b^1A3vo|922N8h
z|2DT<x^`mn{Apw``{!Ua3m(&mo$u!(HGJt&D3ku7paVmz%H@6dn_g}L8x}4}@<kp5
z)KPYlmVb;O)3C|!Qr%rYAgIp#C(6bTe`e1ThQEJ%?b-EPP$SKQT;!dG_k9q2ReMu~
zP@I0XP(%P%;uX@q!Zj7R(uoIt7WcgDil%c_>Bm@pkyMVtLtnJ{Cw5GJ?xLgF4!Hbe
zIr%<SAkJr)PzWS-Kbjc)j)R)tH`5%IAqsn%zX4u21mAEiq!jtqi%m+0CswC7UnYY`
z0)}=|sC>`t8hxuAp%l076^@lR`!(wx_CM3iRS+L{%xS+32|U6Xk!@kqSpr|**8HZC
zw$$Sen^57vlcf?i;Iz5R%ymsAqOnYWM)bOrxB;Yvp^npbWiH=;3-`4%>-<lIh6vW;
zt4Dc>4I|efPsytIUsf~QO`QzNS|eK1OslfPg=}@z`)NlSz_Ojk4ISl!BY&%*ww@Np
z76*Y$-ngY%w6u&gk~{J=?h6+f4EDY}(mEzTH}sSia4R#)B!n@9-n5icbDneQTPQN{
z>}!U9Ex!j64{&0t!XgUz(k9B-m$w9Ipww{T4pd%K%R|j~-)3xgp02Jt)X2tJPjK)k
zh{(6k8iJ@Q$eI&VvT~hS%dG!Kz~>eTHC9@VKvx4Qc`Kms;do;t@(audL+%W0%c9{}
zI0_*gL}?YT{BNT^vs+&PEN2GkVXjP5i6H;hu=Var=*l{&<m=bJ)izwIF7>P=j}H>8
zpejWJ*=smP4fPivd_4LhzdY<-CEH{&b~IugFN%GU7xwfaS&dPQ#S~2$Uk5G~unf&k
zNon*tH*>(OMPCQZTfA|{n5HIQwpoBt0+^HcEmpW83B@e$-Xy#Kb2A{k%3`gjOWsTY
zFsl(T;;z>5xE+twqFy?6SW|c<iD^C`IS`J$6P%f2Ulbe-G*vK;X`8l8Z~AZ8R>0&8
z%;Iqlg!lwMc$pg&WfaU|efGpaOC^%aGtzJwZ<#YO%Cs#JSM4z1(~N%UpuQ3Iqd4*n
z&A-){M2bihR;`;{VWc3AJ-y^9XV!Kt@3I1!$lXi9GZ(`-9Z8L$yy6pSChy1*HNq5a
z3DV%~+t;XPcI%_q&mY7oDY3+>-^j8}YwNo1d08rY%epAaYPc|s#O?1AS?>|z;dDD(
z7TmA}Z<_}@6#bVrF^_lT^(tNQ#Dxq4n_LKqqr7j>BX)FG=EZ=x>a^t(AWcq-Tw=KR
z3J@S)qrrZ#)O7Y^VfRQqh@VLmr>Hu&YE>QN&|*e%4SR>ZB5~#%48*!CA>6iJDA#D^
zrIB-3`tlOX=gMu>GF=0c@%@9gSJ&Ys@J^O00z{N(?V~J@@(Uw!#oo`jIZ0X$5t^k8
zzt7T>#g*<C5)x(HAuExc@}J&T8Ww3?QkSA=y5h#=izH>`XT2q+AnR?D41~udz5B~|
z@#p-HY_aAutDvZ|np(b~`_TvQyNd04G*!|O74Di^x<3}E{OO?OH;_kZ7F5>B6*9#>
z%n=v){p2b@W-V;26Fx1!@fkFhgPBk$G>fA%KcA9Ozf~dul`8Kc=4yI;=&&#;3iu0O
zwhiffmk7Qn38g0}u}m#f)yWgWgbIWM&Y15J$}Qh}+)dK8MpM1{u$+`x5s`w^8I);D
z-G$jXA9k(B!``{igv+h4_5YxUK=m8B<Aw}6M)VbcD)o|?YTJU?s}61vHrE#y?*f8~
zIeNK}M*Rd}sX<E+QS=&w2PZU=jm?HpTE0^DftozgQ}Yg>sB#7`ua}K?Zbnf>JNIu>
zdZ!9sGKR6G`TtsL683u#aFg3qI*_*>=LY+$gt!$&LeZmRv#q4uH<)Z{wjNxAynihe
zRsHn+G`w9_E9x(l0AP_MD38C~lO1L)y@3q>Bu1@55{7hdW->S?O&yr$8Wncg``P+w
z1<?1%o745Kajvs?x*#6{29S=@+b?D7UYZIUFOrOuJd+%2zkx?rDEDzMsh-}?4z0#e
zM9UUI%A6K|?!<Jf-Ex{+ogNL-QNWu9SW<cJHGuVfFkV=VCa3VF@Nqj0pqT5Og`D|E
z5VtMr!G2ZrGSKA7>;#Nn0*mQPD@-TwN4v)_B@#J8OtINzfsDlEn9;ZcQ&S1SzloYO
zO1*1liIcO2wRvFv9kih%I$A@usRF5Ga(X$N;s2xYm3&pG+xv)x(bMz>)74Wm0aYV8
zUJ82^QwW$5irUQ4$;Z+^>czp`?z~ViQSjm(H+;FgYiE{oI7|i>oUgQPjrb>!u-tnC
z;BVt;;_5!P@j{VUWqKR`Mu*0})x|uv5)e!t=+i3Hvo7*JS>ZxT9_5=gqcxB$jaY}e
z)+p62`))@vV)z6w?G8F~Ycy%i7o=oF8(@85u5@cJVKAH3tuknG+Q|EjR_W%Y_0CHs
zkNBCoMFPF1De2$dW#I)9SZ655)%K5_d~@oNUH<HgcNf|)I7&*0_m_-7wv)YJOVDn&
zoX4m(@^#$%mq));i0)tS(n9zg-r;9#rcDt-Y|8gVxHBXFP;bKN?*Wr@A{8?x)c0Ei
zl$PuT-o4V|;_dlPBGlHvwX2-+jbjXhMl>D|?jfxKGZy~=AaWV1?M9RJdI2tVzhr-y
zS$c&^jI;q%u-8*FDjT{H4BQ{aEPSe)GnlW(pw*QS<P-_q595^po4D5L?FN&b?QyFV
zkjts7t5c8@q)E#ybb0eXkmZjMxCLwmS8(bM3+pt&yi}Tt09YVQg!wu`XMDuR8Zdi+
zKkB_Q28mfxoJyNysc6f|q6^DEJO8i4!KCJs2`JhMnb|}Vb%I&7*hfLmoLc&w_EN0b
zXq<vGyG!TZ{xJz)h!<l-tP^hEj$*MtRU$z{u)?VwXHRyZ5vKNHWhFwbhz*1M9bH(^
z_DFaYKM`|uMl+bk+!}oJvO^Jn)&6>ctx$boon%^x;jcK1xk5UtnQs_T-sTC=$vzwX
z!~1E3EJ&hf_{~M`mB;;JsNS$uhc(Q~zo(Vb-12#;Jvs7ZjNLLWvyNW*V7k(y`3d_g
z?^ou<)Z9_PCZX_G%$C^%0N<C~7LX3z<PrmhVq6}Vn|y;fdeoab;-lKcVWsf5)gEXp
z)|Pcup@io|j*8-hOMQj-4j6^{=*QoTFmW-puml%<YA<yb?`LsaooI&erC(qs9O2%w
zoz1Mi)qW#6?s>~I=aUxlnznZ%7L#a?Du?(ZaCYF#%@qg=Mo=)7#7SyYbq}SJL7BFZ
zcF_P(;Yss6bcuhL)Vv<mKat_`Iy2%;#SH)!*=DY66qwFB{(`*{X2d|fdNkoL(7!X$
z4(LnhUYO#o-v<yv!^OzS(f>5;KicX}sxvR!B60Rx#oLbI-fGF5_oJIBT2^7vXnrVK
zzbHJHvbn1b4ng5BKs-71`b(t+N<Au46Pmv7zL%4Y+YgR%8y%h;7urguI)^9@7*2RZ
za{IMr>iqqlCQum!dW`*GxAqMF9NpDcwY51$UVmU)!wB!gtx~Af4E_rFaOiQeQU_cq
zL{SV3@f3=r{Znsrj^&jLTo7=6>EbR@2jC;OS-F?o`-Y3te%epE(M7Vg(uGx%G2phF
z*DF}okCnz{qPbU&HmBqLBDg6i-;DKE39gA&<P-<Q#7gRIdW4k9ULu80b+Dxtel3@O
zNc8#FyT?HlaPoMjA_a6bt$K$nE6IfH^AuObRXjK*9A&HxY==2-5RYNXwj>MGtTY@P
z&{d2J?~ZFh0pb43b2Hp?Ovm3q7am@>qY}~*Y#2&aus+gDK2F1(7|(2#q7MxumiAbq
zp)F8TN^~-{sdTT_;Xg?BWi3_zKF3JL+*!KjktA_ztNwD5b<QZ|Eis4Wyoq(wlj4dT
z-L>e!eB3XUjfOuZY$IPUvVMdoeHpbvvOj;4)WD)1C?;npZAX{(YMfa3QXRCr905nN
zPsnC~^B3=!9`I!{Z0*g|;kl3r|2wNdzH<)DNS<Spdn<6L6~)8KFH}iFNoQ}UNQ<Hq
z1IErty*(=p+m4~KGVU&-w*ngBd0YuY?a{sLgIpynJJ7LWZUZ)EW3X8q4CE$GoZiw>
z6P0Bm|Hq9_akY7*k{^+hw)_fi-|R>@%N00;X|RASex!oU?{qQ9eV%|{s&QFlf;at<
zh=?e>JCw*8u=UT}R=!CJaR!CtZSME6#D}OkK(~yzPE08yMsWFM&$2R#Vkm%NAt^ii
zKgzhTAyx~2BKuxxD!wyal9hP<$&z4F!#ERFBBFqfvvfk;Sby#xIC2QG(r*bKg8Myk
z>gBXp%Y20v-3TPs7@`_}(6Gp9<W2@n%uAK4l15p^Q1kiw>*FS04?4~iU#Z%-{bN}L
zaT%frLi`RzK1Usr3PcZtGk*m;_5bRuy|zM$YSl`pDe0=DKOw;LAGQ5g-H!GW`|}~x
z>dc*2kS03;=#hI*a3}Mo7eQyJBz_N_-8fGV(?(_!FLarBS5Y9fG0@4K5BBD2;*9|E
z{aYF?auYb1d!YnK-?cq{bXG31;Wc>uV9GK%tTX9Dz@Yrx8$z~sZTer>4QeT#IChmF
zxvNIV8d7)ia@zMI4}nl!75Z{TsSQTtqF079F#|(1^d<O1EJ$c!xWC#YE#*vow1WdU
z@fOP-&;XHmnbxE!Uhp1zGf2F>0KsIJ%t;Aell7=pTKJ-Wx(vzfM))D?i-;qhfLasz
zKDj2YJLrzL9`=BXLtQYf$yav}v_8<dg+9$BU+aQY_a;t#`0Z!N4$BY<@}$5P-~m~4
z=g_LPs$ba+UniRGC<yyM`F1)o4Fx9FkX(@NKodK98F0<>gIN;dH6^c0V--$5$#CE?
zz^EwY{{wjjxWs7{ID<0%)=HI;;I}=M3h)ffjSnpvc(x%yM9-#T9h?o<(yYK1d|PjU
zI-EO$mppkcCWE_LB#$j1zHt0rYKF0wuTV__cMSa_puAkL<K4dzr0$EE!@ftGl9EnS
zB<HDiujC$-*<f^f#T%mPC4CpVcDY>?+RKo1kDO|1>XK~sL>!FUg!toMNJI!5e;eT#
zKER*-mgu!*Po8{rQWP2;{&L7dz7@8q$-5@CKB3+4nKC4rnYZqU5K4>sC>=PxV_t#z
zRbEQ@a#oWYqZ{r0gy{w6w?b_$e*?bMO%{aLF*Bj)JRJDj&Mgt*Ix>vG(7Rh|uAdDd
zXTj5-`QaU8Fgl%~I--~Ebnvgg*f8EXGf#ap!E$ARwBo{F4G|8{2k_CIB_ypHiVZY8
z3C>?%U$d455?~rJaQopS*i+dcyiwwHje&Xfw90Y?Me_H3S16k8{?+_V!P!)L%n?VQ
zAqFtya<U?n6{M%r-aG<w@|%*`nB%`8qC?pzZlXi1{nAB=@}d2*j{w+t%rY>=tmZ2#
zO(k>RRQ_~4#j!gsjo`9CK4DqnC<%@U-Y1n<7yrgobv!IYcKPv&Y}5#*!WX2@0djb+
z@M)${0#qS|(S2gPS@W!{^0+K4Dc?DLNBJTdr`a6tZeAJ0?=z866iRBZRH`9S59bzj
zS`7qfCw*;2Cw@bPqJe3KyN-3+PDM6Eh0&d$>l^-xj~EJNvhL<#FC<C>FqRGCD@Cyl
z<<v;$l+0vZV~*ggf5!<O{v8TZY$rJ}OLjh@`-)^AB&){Cnn_A#$gI-O%NRep!m+8=
z4!J#=x%!ON`2E<y!or^lFRc^r+O^^~NoS?tuTgvD8l0$276N5Ufh7zU+{g#^o{JJ0
zm}jt6Qeg`tj}z8pOr9f>D(MAoFH`2I@WTfX>=E%pj-`pGFC3Y)4ERh}R^xezkjO$M
zQY&J0h(w}(z9TwWoQc<4?9pDLh2xSMhT9738C*kUQ54NwTIS6kuEj0IY@w($jTqzD
zO~r=0!5+;{wT9~%gqK}2<(3egppoyA_Sa}FYUVk7M0AVnHgwYt@-OkXytfgdVg8r{
z)2O-J4?!(;2`4KKabfgjlLQ>$@(lCK@f1zT-fIX|;m-A-{K&*irw?S$VZ}P@aK0#N
z^K)J2hw&5~Y|_yWZ24ihrDlwk&*g$f{kAjI7G$T%Z(kFhsVhf_;4fYXDyv8qcu<@0
zrK1`aWX>$MYTIh|4BKk<(IF^YwBo#58!)cSn{C)ZE}k3Z5x9<XqNqplRbFkn^bXjP
zwhI%&P=!YORi$dCyP;Dv;G+518p&{V1*w~5DR#dLo~|Zm6U>uy4q1?ii4}vA*t*IP
z8+T?UcoZSYkIS*dG#;psLO&xs7FmyM!Tr{D(6x1Zu;pta1IZ!P@^A$3ANk+W$K~(|
z3RSzNXrg$&1SH~l3M7+-{(*s}$*QKeid0y3(B%7|0C!03Wc`hlrwv)m_g1{dt_9wy
znqWcx@R#QCj=1c3bz{EcJatPWA?T(J-Kc)Z#P)}7S2h_^unIl&OwMlmk?Rrzk}Z}X
zwHz2!%{G%RM!uNERx@9-`8vb(==eY0HF_Q`?rNt5bDoPz%GP(mSb(d-841VAAk0hf
z5m(y!>Fm~WURD)IJR%Hj>QgOjAuA7++w$@7a8VyWh}p{%Og7fO_L#D-O$`>Q6UoG2
zSGSL`iAxHP{R6tnKDMj00y5$|6XpVj3B;c+$-^h%nlV8Uh`qz4mRL7mZtW9$r%<-#
zDqPe}xnD-i>fn65=MtnTj`xe$3F{0STL=6uWZFVcsg5Cwm4O+?tCwR!sH%B`ebK8l
zSn7EEmv+>;wn<XBlT=Ky4A9z8{k~D`V3*|YhddS1DxXwyRScg<3?a}DgZ)|Vomsh~
z=!#W4{^CpQlwoi?%9d?Y95$|Beib_|we0I)Vq%8Ux!QCxJRzoac1DdOIj<)rC=TE=
zv*Ueq@foNLr(r<;PyS^3s1>HP7)L@%4WnK0Gv7x{R$>)THe&D-f6ys!g^xk_8<Cqd
z2A$n;i+kl}^2UFJ+;h`ck)&IfG*M$gQFRxu9`TfrT}y`+#Z4_uy8ppa@FH!QSG+J~
zi3#b;QpTn3rdDKZ+g*lrN?}6N%-<xjpSb@}mIckU5+7a^8*^gT3e-Z1$Lg##&T#a?
z7DA(`lze?044H&pk_7Q!kTDbWcWs@#CpgKNFnd+utwV!fEVw5mBJUG6Ce2;-8%I~O
zW3k^1CjxPc=H}GvVCTF@XNGZ8K9kO$z)Q}xkycEC7~Qnl!c~SK0`Zu3MX77Nho7cs
zaAf4aC)B~fP+S|-!Otj0bB^-8gzU+R4Rz9~6;oWV^$@>)xcFDoCxS2tP{~k1KwrC#
zjZoa~+~?Ofx7w`P&ohgooyv-5=n>P&hLV|;kyPZp0|&u!(`<R@_w0wbey$ycPb5P}
zbSY?}eC<ef9m|2>Lba<aQi3)ZsPZCA`fJCm$-iHUQYph=&uTqek_w9+Cv=jpnh8WI
zbl}t`j_>}?ApTBVw22;+jFP0>h?v7EndKSgt2Bvp>%MGjY4ks&DiS=f1$V%9)1!J8
z%v`8+8$DuiBL)lxi@T{zP!afDGb`=zw@)6PYPxvhH*6=KpMU?&rB<#FnbBTil|`#s
zQqmmNC5gfxR?nO$e_t1(X@<j%T%tk)l}>t@LT{i`tU^yeUtl&t96$0~@XxjTWTxBc
z->01EPx)@AZc~r#Pp!g#+^gN#YW|yc@0t2YzrwNi>%9lgf?KR&6#h@Yf;XhpR7fEK
zIInQwMc(3E>-*{JeR;hXK&KNZ5Vejj%8t|tdH5E(WN0XX>0c=6uG4$K<&R{Ma6*!+
zN~J}xCT7Zt>kX?%Sm(=k({1pg31|;XSQgtK_7{0l_{3joy+d-+@QFE_;Gs;Zd<x9i
z=49E?PbVYU+Fi*4M$7GS88QuDHEDS7WNzBq)SRO+K9B{TuYQ6F+GOgKS&M|ckI^Zq
zd&MW}C2v7}`+1)FUfL*&n5d$Pe99={nrL9sNXwP)#_u{l^*QZ_hPGBS1W68a=;Or$
zCE7!LG6oItu^!8B5$W_hHjKQ{h8(`^L`sW6?#F^+es&~;=Z~J(`Cn`Lf(Y%MDv;LM
zzl!TV8LmyaQzJ#qWuSL!QcJue`-yXjDE2DRc2!Ne35p;k0fE4S!xbb;mCuufI{4FH
z<VsA8l=c?pQqPx9g+Ff(Mkl);Wn!hSqRj3U|1`)DWb)c1op-?gC^faGPzNM)b0`q(
z$*HYYHj#nXnG2T?OB=I&%qG-ncDXNzah2t>U7*@P#7|DaX3YJ7tH@DECi-N)<#xYh
z=wzyis-(v{<lmq58HW?n%Yphwp$|)qRqL4re0vH)2=(JJW+($Z)|p)9!w+|t4)`qy
zguzH_Jvi+FPs$gNu(MbaKAJ+^#G-Nb1_ikB%k%!HADBIzfV&dgGYWEqB<1=p;A=T&
zT(|J-o!aCS<-7d9JhZ@2xD8~fAQ6_x2<9(x2k+vwWSFP-P;*2!4|Lg)nE(Dc-A&*4
z^oRU=5_ck!RH?tuxR83a56OOe>VINb@tm(823wpqPL1s0@%Zhw`b2M524s9ZJ<9Dk
z5KMmZAVvM(*QQ;-#bIdF==|?ol;DLVV7Y*_F<siej#!n<_Y4Umu1qQ|R9paLq^7Q1
z`nq4xypv**fx#1>`&|;2P}}A5gn3+mp4G%_g?T&#DXO2~1rp0G4!(YldDt~qJ4vxD
z^*tA7n;sp55Z`IZ);%XJd_3PCGRq{`z6FY6ew(@Cek)rlBs6J>#2B;z6*biVean(?
zD(3()2t>6o1X7VZNC)OJU6luCSGpaCfIO}&CEYjyobmCnRPgghh51iSy0p~l-bjPo
zEb;n3^Ce^g31fV*Q~kBoQZV3eqTjNto{_Xp;5fUgJpE1-sGER;c(whbPBWF|NI~L&
zhfUIG9-aN+0(izy@&OX+=_0-7ieEhz2Z99e{fvZQK9p<X)M&rTZRf6ij+oe(z~@Pk
zp@`$Tpdo*rSr+Sv3eSNs^sEo0>9Jm!Al~ELBX65TO1gk+!!(>6!Dt60jZp#t9cZZH
zKg7X%WCvB(4%x3YGHJq|@$oPKlG<~7u*BrfK*|C#%FaVm?tdO_oUqU7$jVbV#OOv0
zK7sPyI^VGcZGch3`YQ%fxuxGg$#nt<`0$PtxGGAC<l8}ypc_zV=sT^Imkp{I8OMZY
zLZV$er;QWX285re_qAU!l1Jp5xW5<Ivi%*ZE^#(BNWzJrM*wS#r>l82a{)d*2Fb*2
z&N_PKv=gu_FV1;2X0bwkQ%)ysH?vDamG*M>2bAss&;jG$b7JBlA)F9(5Xz_>Nkfpr
zdM|#Cm%%bGK+1{0#}LH-gJ?Y+PTkYg076wP_=GK^suMdCvDNC$et^8vCNwDVf-v>i
z5%qXyfE#3kP;?HSc3w^;75w`E^e+v98HnKPCL(UIXzk)oB9P}fC8>J->g*)1ip4@C
zI3W@XkeT3=E|qN1w%6r?DGZb{9Z<8bD*vmlPaQI5HER7w-5dHNjs2m?q%TMuWI^11
z+CQoV(0IwjH6v+!T}r&PNX%(KiStg}j4h<whIxdGGGj=K>NJDvO|J2JML&6hHc#m?
zf=Xe5^8_CpGJ4ykEc>s}f3kZ>wV>D8CJ1&q1!O<&|3W=F0nR%Z8Iy$5Bp})Mi&5Lf
zmxd{!^Fcfpx<dN7LANQvGT=g$3D`dd=+HRfQ-Ra%_Y=!tA`9?_hjk+qA3>^>DK5T<
zRXHVy0NDcLXpsFP{C(5j{7pXil0Slp^S{Zoz!gaDBg<qFo!JNI$kqZ0E=E{JuhvxB
z9$|i2o)0s6o$-zv6faE>MA6iLLqtE_0z0S}ihTVBt2+7F`2V1Iu>qa_h2O-m&OsE*
zPw&)tM`n@=8l)AboBs-R+c}VEWP4kY0OEfSEUP+zU}AE`tE3mfZm}}d`o5~=hb?2s
zN50R#ULh$5A#(TEHU5tPbXL?*dI17m2C0yg{^|4-OaY|x7VURP82|ejxF3oKl-*__
z;f&nd6Ck+m{N!Jph0yERX+XdMkzh+VtH6D+H4yFu$Pgffr~F#cIHX4OS6i*)&e={T
zk99vl_c_=ZE>&oae2C`v0Kzeu@Lr5x%-hcJ;}}c$p95t3E+~BtsD)$yr9e!`6~C2u
z6DkU>-iJ^Ncy1jIj4oF{rTU2jkLUVv_MIlN_H$lMD5O^F<PDVkK!X|w4dG#0M#}ql
z*B=9B<YzB1L7%ar`Q&@nhjJdqk0?!vS@I1?+t0sIL8l1b7|nuQfwvy3FZSd$$pn-@
zj2^6=T&gc0z&;xVPihAgWIkNY%EyxlCizW?{k7k<UhoCUYaXJd=fGi`^GV7gv8*3I
z9Fr9JXH)DiUwh11=lbSicn$aASW;`l;avm@W7pr5tlW_+(=e)Sql7c^S@)D%k-OdG
zp^wM%f~K(qc;E(C^bHb%RGy3@CG)yiju`?!SIr9)_>as7HllP${ZgB&*7-oTau1Sw
zB<LK516DqZ$eu=Qa9v?p^GT_$L3SgU6XpBGwhC&KfqdqI7400XeJ-g`+3J!&EJjTx
z3%08Z`1Cb;bqI2yoVabYd^jZYy>~Vww1*#VB6nTEks9{EdC5qZfdUdLlw3WocBZV`
zel*%7H<VnmixBe%_kY*dzc@~^o7hT8@WT=N)i}TMHJZI00y`U`#(&SdNhK!FJ9R3<
zlOv~yhhUbOc*<ZcbQ(z3ofucy#~cjT!Smr@hSah3GdFfc70xX-Lajt&FCeb`Rnw7p
zLo8sH6`4n3sAwMQ4W?ZEH)}0U@rm^OZouy1&}6$f@m^+Mmd9_BZ<)+>lp2NngZl3u
zUEbrOAZ3x7Wt4<EC4pe!^k60yl|k(nxa`V@Y{C}MN}Ao45=i&oRBvTXiP<fEL6wxb
zL9LKw^#Sf9bB{TYhX+C1nuD2=5Zh_)*dLyxImZ;Qc7lsPCzZa3U2uF*j_h3=J)*~d
zC%-|v-|4a=hcoQUPvX3i2sXTV&lIy5Wg2rK0j|$7UD-W%lTHFlAX<q0x_5PW=MS>G
z-dL*SYN>9$&>SUgm<Hitl7mD)%AV6v2%c)d#Fhl|_ZWM=PV)1X82)uZ8gAv39dKpV
zRLIZ`Zy_3U8AnDAu-SSgm{H1v$EmI>vp68`hyJHVOozX86$Yiw?I@LbBA(zqTwk4A
zq&D~q?h#+JkOY3G?Pd{3o|-2W!QXMk8B5^5#MiU9SPJCHv}2*o4nS7oML1oam*HT5
zCXcA$s1W95M`k#*so-XF{<}xEgxYmUQcHa82KJ%6X9WmR8&>5vw7-&rKk4CXMU}Y@
zKZDezG_#Av_3hlRid+>Var2BrS2vN3b2oB~KbW>uErdLqizy8==#m=rO2nAkSm%QV
zUYuQAY<@w#&T3(}LFi%sts5p(Eu@AC&JPVI`rqfo^8jK-i<P(~AX)g%KW4;Seuc<m
zq<wJMt3Jzs47w?ftw9}I8f2HUheQ#zBeNsQ*myG<d}kgr#`}3_sjXvID=NdX9$h7i
z7d#b|$B3#?>F@(h^!C_V)-{XdFs*T7L;9hUjgcDi4;BbaBRsRRyi|h@_%}i1)b&&y
zcr9%<Vv!PXj{>tnROuegMzm8H0}}ICiA(4O103CS8q{40X;rLv-;B-P4h?pXcW_iH
zA|b%n!X5~>U^Sf=X!{7uk$N6ujAP^Xz~C3+;73N6MK52pi)TW#g6=UWhs1i9!W(Eo
z9bf<#{ccLaT30h=FYG;o9UE6Bo1c`7Srp=I4C(k4ayXj#ctHkmv$dmEQOZ3ZHNbFQ
zrCIs`)^O(+x1{ZxQO12%KFgrDiQ_USl8qJ@LqnWmMv2PGOFNs>?6pKE3iVditHUVp
z=5gL2w6wic=IclVChuE3h0`|=lc;xb-&DqQ_Up_tS1v;w(#Ke|z_w$5Di{6ff<^7r
zSRH2dj&*$3z66Ip;~HlmNSd(lWpdMyKZ(MWmp)wtS3xRsClo5TjjgS~gXETg;_o4;
zIgud29`5Mf*SweU<J$ENa@IS&hXo1VG1~}w8eB71ggbA#7=G}Err#{LH5?IYXcP#C
zFm`&h+OGBS#|O#q;-pU4qe=KWk;f$F5j3}6=mz{FXHF)ckVNHaQ5(VY!#Qv=nxWs0
z6Y@xyj90PL2$mATM=&_;aL-)P?35v2IlD2i;jAIY@I8v)+Glf{W)7xpSN#RsFlvhm
zd#>O|4(+Kff+_A;K?eV4_S^E$qZ0Ekl=EudOPGj+NM!R^V<pCpb%DIFdXZo5{}Chg
z5{C4>Z0yUSqrZ5?fjrIapO$WWK+BjnPc|PNiNV{Ip<NkfpGikA)hH+6gMTpkjrrOu
zF;?rhIaXfzDC$Mj8F9`}jd#2L#G(LE(OZ5(Y>bN+M@268=JX`d?iE9g%s<9BJPO%n
zdr8e5RIl+pRG%x)@BR=3*x{uRCn%E1!%SS4!z9BX(~=1BwN<_s9D)lS8Dq)*nO{5^
zWcb6GBrAp8k7VL5%;N+Z7CtX}3sMEF(&G=7ZK8;wF@R)B35H_6i+vasq#n&-wY~)K
z%s~xR1tNF^R|Pp$evESt)2B=WN)e<QUv5A3SMr9@g&-&qtLw4XZi*j~M2q{8mU_<<
zeWi*crL<uPiWQ@5O6?G|Km>gTh7264vg&m{YVG~Y{b_%2e>S?lKf;4|?S@j2VTgkS
z+-b4DF%5h}Ml*~IFL(#SP=i$G;y{6lU^B1Cm^+9q2mg2grQVc<>xS%Xxvza>vBL~f
z%Rn1UNoopYex&W~Q=stZl?UNVbWZUJjL-3JD(OjyDF0q>Ga{19TPfmdhotY8({VA4
zn3uq5m{V_321@Cbsv+xB<6Vm@H({U#E{t<a_p5wIgP-8K3*F=Csa}79|BE`yw@}*i
z``q#hO~7~l!w3U#)WcuCbMAYQp_;@bhLt=^79tS}(OzTcNf#{jq<eS8#L<0Q_$SR4
zw0<}UW3s(v;KzaG0qQlRi*0|ZZMP#OzI6I?=0-8Rvl96u)u2R%kZPXEFSG|#FUDJ%
zTwg;hUGtcOtU~oF0>KNQN(Go>CKkUID$S=q`$F^n9-dju!6ef%+mu_ZqaYL9sJ_<0
zrsS1$<MY29zd@S(Qaf0Nn+Wq|D9VHc%24%=yX75Z_@xC1XhC@&;RurX1-u>sJ)bKR
zwsOvGUJp~D<%4JkS^5;2-%Cn@{{s4N&`Q%Gz{8l|j(tVX;IF2WbE<}9y(l1hq^+CF
zh_;k_rj(#13=S|(JKP|f7bbo880k%isKUWr3A%79NeI4u+~HeV<gDR>(T~b}F47XL
zJdVPJcXSYVW7Y;uaH$WO7udX8w=6h(A<y^ky<Whdgrf0}TvaD}$$=}gA9sMHZi3h`
zsx$>3$+vDIhR=$Af~zZfL?W3sRsGiw!}Bka6B2Oz`|Ei=M-_m~l0)2FipwExwjxA&
z+ru#NZQ0oWSA%FQ2%F96;erOIv%j@n^L>8&13)ikPvtik;w2s6ZExiRdMaopxw_23
z-6L8N!!Bu@n~M=-%N>A{?hh!kNlf0<y!-U1_7m*cCxdUA9lk+U^2!21Hzy9!p5R93
z8M%sckZK(f9}?^iN#KW^gEq$cO`X^IHk4Kl;Psx?>}vQ@iAVkg&NNGwuqzmyFZVnx
z?$ZJ@PfbG7zZ(Aec0?Q&KH(2k$umBhb$4V^li;i=#|Z>iog^=dy>12au!P&raBQlN
zQY@_;Tw10&<t1oRx`4G5C=-PLth>e5?6Y^ANO5|gJs*RPAr(b&mlfDar{^VFLINm}
z{PKDdxkfOQn1`c<?-^2Lp1Kw;)i{bfELL4hC}k2N$HWyUZZo%9`+g?CL_jYgTzuL5
z&GFkOz_nSkDFdB`*U}gLe_L_mKi{0h^$vkWR2-C?pkg&k`)at;ABrwmrGRxaOzJd4
zP?Ir{?`O}GM{m6*i9$ZO@eI0Kxo%3@$Dc0zLH3yO;!gto3!s~cnKwP#>?^K&$!P*7
z?zdZVGV>X+Yz$=G^<BLJB|KS}aj|@jZWT!}-XX&sb0*uT{ya*rP55!io#c6%;_uom
zQdBrd7sWy>rT$N<OhZ=%)&p`>x?+2&QR!p9(R)b3DSTe_$SbfYgbX|3L0c2Fq$I|S
zEDLBu=RkVmtq#rY14#dl>}&uaSq05e@sXNmpt2V>?MLFiqaK$iJO{vy9FH{{5L4bH
z&JIvJRx5@DPsz~|V)|Bzdl~Q4VMr?4`!0T-`x2mB7^e;=+s=6gf|m1lG(<N}ewU=u
z<6aze=d?#QPXUQ4|JqiZub?V(`kKN7bo}3IO$R{Xht(C#Fo%4D`hre=6h!^%HCU-Y
zjN>UpVb4=mMl~SL{0G%`?J#J4fEPQ>$^y>(12PS!=kwEJTPSid$eemuO@0|uypKu3
zYa&*=7>UPtVK|Dbpf%nKL)_v*BD%SoQ|9PX0`7R^<E9|BeG+#zByeUy2;gfF(zgUE
z0Mu!z!_x^1#v{ZB1`;llyMQS~y&nr5?F#|U=+i0}QO(tw70K1))jNAvzP$|hM73aY
zr&u^Ro@+%JN$q-IT(Q6iGFy{9FY4tO1)Z*~t-@3rpub4bLyHzFb<ksl>SMtAEjj5=
zc~P8Hf+Wu%9*B+l1>i)%dMV#so?2HN!8ETEvTL3>lx^-aA|0jJ5~;lN4b;<El7k8A
zyy;yGHDRoHd`SM~59Ak~h9yb_w(p1kqxhZMiGSgVejU<AGx-TL+c~uY*@=!FpnY_f
znR-Di_?WT&bMM3EWYPeZDV>{y(fzpblPd^S!;o}R&{Pq4z2+RtI*(Nc9yYxJnWSZi
z+y+N?w!e?0{*4cDULw4E!7fc}PfH}YM%r4GiORT=#b;;KuwA~(mL(;MkHT>D{|}A&
z3Lrx*{MB~V-vd|!pPQ3^2G$=R=2bl2_D1&>0;Xnj7<w_Wui4k3X(Vw&@b90=B*n}O
ziwU1lB)(ZuG>WtD{U;VGp^J1;2g7eNeHD3-oYyeL5SE%zauL2(p~cuZ{Vx>&nZ2B#
zehSY+0da1;|M_-YWIxBP`*u4TpqOztauKmba8T(D?Dfonm-?1P*4jbHg?~qPDbEJh
z04}$T*UDJvGacaM1EVD;x}vM;zmI@xjnZ=hLJB8c^`rAVe|Rg1g3R+^$=6zwLJ7>F
z|DIV})F$|?xx$`dU-jJFB4~w-lKRb4cgaZlNBWLqU_rV>mRKNsDzhaF6zMMbw7mn}
zkXXFAKyZUBB<UZ11U8)hNIWi-kfh|~r!7Nbj@baaAH#riEJYgUa`na|Ww(9;=-MgS
z<5qCt>DmSSxb^Ur<?7NFb)(oMeuXiRt46M2W{v_TS3>;RxY^<{A>msHxaU5^Ye?MM
z80<N~p?!jP9TX7|0XUQQ-!v>P(`_DdsIofGUh0mx=!1eCi`8dSmh5xUudk~Ux<VYB
zMXL@i-(i@zTJPAQ))%SzFYQR(&<`0jb%@I@_1z|+!A+QiCgrLC4{rK_UO^%=%v<ML
ztdQh?1J7E>7sD2;><iEi8yu3Lz1(#miy^B8H(u-km%-0s+sUteKX7DFo2EKqy<U?*
zN*wOP_wLwhbz3qK9^4@&l43s(kcmVJEy3hhSScOIhXhZbLv;9HDMVgVIwu8Qh~Y`D
zVj!3>B{&O8Z9Sva;1R)Or8=W~+0>Z-1uHK$R#IVpQyxB;1s@>t9SCq${Cb|A{`4rL
z65?)F{MO}W>oJ_jHuj5Bln3~Y0g8Zzc=PeA@jA;F;jj8Ihj!DFL8rAkA#!lvh@b3(
zr6SGMW~HlYM>=)<1wT3Ml?><4z4D>G;jEojx!E`W`@CKd3!P0cRwc`JElvUhjb>@L
zI8&O)u-qct@PlA%v6XeHqcLHTIe~9;hQUr~+nQ@ser}Zk=SebUgLXZlezV+t46)y#
z<gPhp4TDUWMXuc+-NJ+?6HaF6+u&ZBD-z5dux_Zs?ni9LAN(TC!a_U*KV-`u=wOXw
z*~E7K)|5Kx9Ch@jzwUlgN_tCI>0<=0%V&t*3-<WU00g4Jn#4E8+7e{y8Q5#pobw?*
zW(#qN*k2NT%s!l<9`;#`+8FItQS;MH#dSuxkra`XQr@y~BP?tyz`KNoi0J2`RSjZM
z@W@=rw)U)`3UE-p8$JW`h|1$yeXEM45|{a?0Ny>D@A}5a+qo;(OQ*+Ne7FdpRzM1e
z%hKPCsO>6fm)Rd53tJ1v%4IfbJX4n=W}_AQ>9&wPtj`$GMALqoVL?E>Nxr9s<US>&
zqk|UMN=+5(z3w4%`L8xwf|&e3p?6h<Za^?Ja`@V-@ev?Ih{YKgvGJvrv8n`|sdDHi
z#Tkt)u??!iy7jPE^;+5a?)|BigFhM-6xmGUA^G|hIUcE5pGg==!2DCjDW8D@4CNOf
zgCjB=N2%$@UZ7hFw3|3bV{<is?errCn~=Ze$!(25u#iFx2eiwmYpg0d5J;dNZGb<j
zi}M*nUrIvl)<o*2fEO<wI`V64%?OR)^@ws&J(O+M2wLSY%SB_BI1%FG69k=+hnE}E
zAu9t>0k2+-ejoc8EXb-`8B(+7&*Y>cFsr4eN!hSfjIhm~n3v;HaO)ra6OQc=C*AFI
zE+c^XcE=6A#{vt&m&?P|b=WWg#TjS4e1<dV2Dh6)>VQLvS?7O*`TDSpr<;~5<pm1A
zut+iKZg!f(?GHiY<UQNIq45URKYFbae#EJd;(io(zOU6aYX4ASBi$(Q5T#(H<r}tp
z`!@qG4ArR&#Cv3@SwB&9=GMOY=}(ez=09z9`clx9?mT<!|F!qsfmFut+Z^j4I`&M)
zag2~X%3e{n3T5w|l~DGv_YB#|PNWc$UG^$8$T%6LtdxY_`_%XSzJI-c{r>&+pVV`n
z^E{u={kiY!y6)?a*CD!k;j#dde{q}2ubnl}n2<(g_iOXV=-{Pv4I(F1&O+`GiH@sS
z60gzT@8x6S7dr2z$oXsG$h{7DcIVaX+3DWb4%58e`5P!n2`|U=c09CblQ!!}%tVH0
z%W}|B-NPbb9E}2?yDo{%H+7cIVjMPOt2~LGt>#IXHF+GEtNWpN4yOxj7JL+PUML<v
z*0En@c3UzV+u621w~}Kg`mxuWLql3X9(i8>5YwnRAK`U?-mh%Xkz(u*_^u|in9N9a
zkK&cTMvN>++D&q;KyUG;5>EHq(qreG5O<%R`dsQxv(+c=5OcZdkJ4Y(#vGZmVKplI
z<}jOQsDwquKb0?uMPdaIB+h}{w4Ymc`eFsC*8S#S7v1~DBR4ea0Ohj=1B1D6DA7_}
z-&Ppb2{(Z$<Mle_-AnUYzeuqF`BiH!HMgY5;;Adcr0qAnkHeD&(=|xrY-vu=?!PVN
zY~W!aNg{tUfFicwLmWPxv81euNTSI)+Uhy^2=!~faoD`;UTk^db%q0PBNnbk+)+%Q
z?OSbgC*u5A>D}Me_qm(Bi`OV@<gIDvSPY+QBYSHylaxq8N%T#tsCce$)w>!nA~{QH
z>$gJbh4M$VYQ`({PrJt2^gkOITB@oj9E?+@+BCv7a>t5<4~mkNN5AkGH6JAzrKF~D
zQfd_uMzp8+EM@vrvsxh0l!RI*SGfk5HlD~4&={4L7AS=(uDE%f5}zve#SV_szL#?5
zkD{Yh)8QfJW=;w=XW~>=6-S;c0;66WQ;d7-p=p@l=<g3vZ3Oq9VIHzdlY?DJn2O@=
zu*Bhb;%OxgF}9Ha#v@s&uy$w!VdhJkpx@QL#OjqGspK6046`nBz7IxVluOyaN~O4`
zF-5>W&KvZyTRi=bU3uY0bNkOfSXo48e$-X1o)P+BzWU4WW|YvBbaeT9H{Y%rCZ^Hc
z7S=U47H)%Di}H=s^kb2w_<{8ApPY|XIo*j-pHn%vVf49*(&(m)_$5Tpy${hj<y=~k
zv?{mu`!o`<TPLWoBI&gsU=%W*b?GUzRQ)X@7ho`C`{RP6*46Mz1Oc9E@){WuEy9ek
z%pjR;wzL$))YLnpk7sb3TvaLLgKBJbHinE;XfN|!PK5m9O5d*(j`r7s&MskwB+m-g
z1+Gxc_u^FI`s<u^@9g>R@3uVUSjju#?{9uK3{#cvi)m^Q8Du21V%?Qrdqpj9Qnr;B
z0-7L=GT&@R@NG47l)WM_ix`q6IKiVoio6&!7>1;HS1tJrsW6p-YCv>C9bxa-$vc82
zLr?i}zFI6WnO=KMR&}Iy1meV9n&jE$8&>RB4FHML<|OWJk?+~0u}`0ChBou>(Gjw4
zd>aUDfr*D)ub#Y{uNC&--JnP-Ji7Ld66tpbV|<NYGKd?smGztKel`rA;NocB6nQ8f
z^<ozo6L0QLsiadzJ<(Kv39p;W9r#W9Z%4NR2{<`%?#6m64(WAmTWwA9Km@=$LatPL
zVo~B=UJ@cHJ_mKog+r#=$i)4mr&}h`SJ)$Dc(N}Ie!eKK|GhmR1IHb!L*CG^x3b7b
z4(_e5OJddQ+-K!Stc&v9{VDU^x~_&J(`K3Q2n7EcG-8^p&ehJ``ru9WhzidIO}EjQ
zEV-o|SgLNv+RS*7@T4AjjJ+vnNa^pGou-Q;8jK~!M9)G;HSPf_WPlAFI{U=?9oP0x
zmqH(o-lo%#X+au58&9B!YFTR4lTKEbT+s{Zkt#e>niJyBvhBqYuYEGx)@NiasU*j|
zkrI$x29j1^%F2c)VZ2}w>4VLxI2}I_`AR&Ad*0uun{t}h%#nP1W;{!ylW7R|$i!bO
zOQUJwhv79cwzdcS7ZMjuNj5V%=;3(uMi!g0NxL(@`vnc*A6IdG;=zaqj;fsrVODKA
zZ@B^+D63cAm{{?yBSdQUFQ*rBReA>hAo{v|V(+c&!x2%FRfYHfeyG=0Kqp=}?cizw
zCpUc<aL<Ir>oi=}s4a)PE?w!T(xbRjDJO+d`7DNFX(h3560apy-u}g)8J_5NzN?zN
zz%ci{1NS)ZcTz(~Xw67!Ae*+pIdB=|YiKjU1v4cOP#b@Qsvrc0$iE~cE+w<g*Bq{u
z)zS1tAsDz9OtM|hbyE+#=keE~cY5BS<}<zaE{dQd)qrK6*E1dR_Qzl9IyB=5o^VuH
zQ?P}ru>}TfQ)3QJoF%{&Ci`GmFTwH5%pE2)#X?{8L?Y9|(PevP4IbWI3rC0ZSAHKN
zQ<IoJZ8+Su(A=^y96mJF2)&ycGaHi{R0hBR!-{TlND!+bTqBldK|}KDypq|ngJxn}
zG#x^brZQh>%BjLNn~X4)@||g^VXW1PN)@j8RcACIQORBodDZMi#nZZYAq5j+HnYuD
z^&nn|uKC-m=%E+!^?b|mxv8Pzt!Ib@)r)=na~b?ANPp4f$lTzdeY|flZ2#85XM8nY
zFa7k7h|N+3K5?OBGou2g#1eS5zz1+nx=fX)iKWj5n$ul8TUmH!gDjrq^Z~<X`&S>;
zpuxdAO)783-GpF+BHW0GYe7|+)t8BLG2|=w$qM*oaQD@kJmMg$5$M(7ePGF<I|769
zfKfK$x>IxYVQG)&T<hEH(8J}^HuFE+3Mq#}f889I;@rCKJT{P$NaC@eP@@Km`jAK2
zXs6Dit<<vfOO*5HSyq}Oj_U)?gFrNDPL@0OS9@jN{4(8z0NBNgXeobzSUZQ$o?Css
z)BhEV;QK$>RS!Vh0p#ybCBl%nwy`TF77TN#eM#7j)ZzpC<<38O#Gb=N!|u;oaZY%D
z;b-4kKfg>q^&31#^9FO)O3WpmSQ!@3{R#xGqDd3Kl+@!ofi;ExlwA;ShXNdAAC2~w
zJNsOk#)4QP?h2Y`DL9%n>y)+4ZrS(Sz&#S=3*q5d-uDK?vTm`L@ud4)(^BJ|9x54i
z8A}w8O1)Rdiq2{IfUOqqW$PIA@5Rf|dcqMW6n73K>ONZ^esPj4qxmbCdw!qa(<=j-
z33b(kn0MpLz#{lB3%BwLlL^cPc!4w7T5WD8kX1T9a#IY?5=YkBoi3nkGA(#A<8Cqh
zMfolh2atTyQVG$%_6iDbjRB#8FWtY%CW;%&u``ATIT;q@ZwVJNzCHreHD2?l(Rw0~
zd(wQJgNg1o?#|XctYbe#*B%8oNyUfY^6J&lkN0~Q5|YYxzqM^fGg*Rt`<5X$Vc=%a
z@6!Mg$;Fn;jb7IhKyvk#M6VS1K+W&dtQJGv-qxcC{W%V-65JdI04oW3jOVeCopMqN
zx3Viz?{39=+-()UDS;F-5as-_Lt$|@pyJaf3H`?U8(HSr>-3hI1L9Qm0AFjyjBbZa
zn>j^MJw4Dr{r6S{-Ug4#t>(v)QaUl$cCYV4!TPZy`24$Fw@1&L^a{>tu>_8M%3=z>
z`lk8{o0Kc=`IiD};R{KuQHdxvp4&eGGVDX7dzLh6iM&i?X|(O5z}?5z;iL{=5}Bwl
zev*k9ZMQ}qm=dIC_M$243$T7&^9_+)H|snhv)tnDtP!Hmi0r<7W`p&v_QC5a<7K;a
z4uv5}XS<RPKrYOK_ukk<J~}pzhUliwb^y<<35J@Mc6GBv6U+IXxQDhFk07B$ZEpJ~
z3{|*2IlSdzhs{I^jwilnEh__+K>M$taTT&fwfL`?l~tTtDQ(dOU&=pRo+Ul16bVPD
zEJxcFPpzVjQ|FnDRzF|;8xUYVI{GHb0hLLxq?H9`-MKX2?x>VsFJ`@dSUyu`22E7;
z(kR0&_2;2-kTIV_#NQiBG95K2jqRtj$${DKd6s}9E+`$X>sQvtz3er+1Bgj$^kC@B
z+nhv?F~|5S^flD?3G<A}qeO|(FgG8YCmKJdIc{%wca!toxhG&Bi55odyngG!JcGY4
z&9TqMa9?K;&Jy2RzlhujwwKb&@Jk$xE1{vw_zuVuUAF*hhTqwD?i5{`?R&6lpP^7g
z!%;e&d$Lu`x#pcm(I4hudvt(JJGWVJv+CWXQg%9Cz3c2J*(9AiOJlcf9@}!7tD8{s
z3<t@4kvysJ-Jtz~6F>yt3SrJ&08<I~%f}frp8)kpe;?dD=il>!jYlt9dPMKsIvPju
zN-ou*REBSfRL$wDQs>1VA_$rL1bnr1SY;oYh0BXrIWPpUdyEC`O<rzqFZwym_+$^B
z$SJ$Mz51!BIS89Ke;sc5Elp>fJ}-h;St-Ks4z-HuG5|iQ`uiV1Bl60)rOA3DmgB=)
zBC_X4`f8#Hfb7hC=&NFn!yKmAmNMa4?aQUgs|15VGyZKppDrGJXb)_xQsEwGd4>7a
z3OsZTV+HBi(}E9UQ0LsDc`PwmSI0(U14we~RF8UlGBXrjbG?RVh9D(8{3_Zfz{Q$x
z*KYEj995WMO!-B}Qfi{ZV2pekj2x(W>$VdY<#F6!EZ)Z{93*DZbWbQ9E}mRjTlQV(
z3@_(hS!a)1^I}d@R=vDrJGO@hjl-d<6{}VjXETuN@;hY%!G5jDo#m|;EB`vOH}(L1
zYVdG(HRshw&cQak9eYbmJtva#S*HWr7za8cmMd5<GJ~2*d`0ES1&^fKG|CP*0kRTm
zZykM4<j?e!3tjJOTCMyP=0EL~U|i^%?R=rhtdc2FB%4LB`?EQcnOL;3zp3qsbBig)
zC0wr4CS+exl`L@X(;4hopLpZ^Q_2RR3|5`VIN=*+m{ZrTdf1w!)<nqVI3*3Bgy<}X
zT1LBBoZ+S;dQv}9W2@4VD#K}$l-H^?SBtQ9b`hOmj<0QRCppI~RZ7Sg$xYXDpN_C%
zj79a?_^loTmlVQ`IJ=i7zQ>Nwzf?G3)S8J$i^<+|c<kYU<l05X`Q&{rmgZaUjqpbV
z`V`@Y4dfb(HCMd!#EbTG%6x~xX<iXl_NJy6eWOa?hm!V`%JO`CK|MA1((UDzbOt4}
z7+NJ|h@MjTI^+SfoMFQ$`_8;Y$y4Y8QCA%SMa+8p7@Y|}YsU9lHbPcS$$NWs0Q}Jr
zHt6uNI`}2YX4HRXc6huZc%?cu?&S;4#zgB$BZx||jD(jP-qe_+`0M<19+!QriZVl7
z+9s#N6jx(>_>#`Su&Zl#V2rKmr^#|%w(f)Cz5Y`%*Riw1K{IoE`X57owtXz|mH8+e
zANc-)U5}y8ANyN4draF65Xy*hC_Bb&(UuVK*rw~brabC6pvXEWlCF90yYbzLqao4;
z-HD`%wDiQz7pGX$<^S{!7f5h>8f3^M?xsy8-SV^4=@Z{Qbh6!4CXXzW_wd7~P)jtN
z2Gr6^Wlw}VYKnuxR@2@jZaw#VWvKkhQtuM;JmAnor+O`sQ`+vmixFm<2f3s_F6H!1
zv6&?&X2(^C8af~)_nM+FZoIa6f-?Vn^qpOk?MJKtjfY_3=o_a&RH~3f7hAjxx97s)
zQ>Lo{)0IPV3$Z$8rhMeV@lPWyBYs*MGeJr#NNoKaW64J3vy}A#eadp^(v8bCGqS41
z{2<jyh<JoOsg@qQ6WI~nyc$8dx#k>|Eo5fob&@<7^+8!*y%GB-T<QrbRt`Zd{CV;L
zrI=)~U$g`5<XU|X^_gdnnZ>HT<x}Ls@(NJ|00xyE%W(R$h7Xc!TpmWm_J+^1A6*hF
zKyRCQ5h;l3Ea9Y_AP3@B4inu#=|=4MTrI9p1R{s40HplgA`%f3yC=A^bII7};@RK;
z^nOqCVmJI0qqf*la^|FeF<G>LMSeEEG;2VfU>3CoHjVGNKU2Us)oL_XB1V$YTa=k$
zNXXx9?+zB9BO#lj{{m;oa2%&7l(xVZrQbw6mm3X5&vnVP<EEH~gnltPBaUI+eox7|
zcFab2hod2sFH=)Q*7bFziWc>fcMhp@fwR6IC%eS6wdsfVf>W*8VcI~G70?DiWyCTd
z?wb1y02^*yuAWl@lAv(4TAT!SV^E|K*H%ovudXaK#b@C9!wR|Zeb?&apWj13lLJBF
zX}szx=f7b}hr+hiUH>x|(*cT7gK}i=XM0XhUJ&{rP8Z7}p;OsD*Wn;0ZP+2f0pt78
zR@CkLg%?L(Zv@V~^c;{X;7|xU!77Pdd{9&P=mR%Gent0hz=kbL97S+BOCo-Zo09yc
zuHP_-tvE-89ycp<#5nkTW}M1W!SGkUNkP4e?0m6nP=gE~<nAPV>87B$jUO!fnQdm-
zso>@`oGQSnoI`}Rc-k1G)L;y;w%iO}y82eI548vp06&i<vPi^|xl8eBh{V&SxGQIJ
z|0c(IV|oOx>6oBV+=xRKr+gLh65E4`M%7|fyz~{TMfI3d)N4VR_K~n@eV7izth31V
zrbJD!skjXUr0y4RSoQhxY_*VwqhdGEPyfDV(mD7b5DegIXP&}AfT!IKetf+oF0nHu
z={7BtN^Sg>91#I*r~8MNw6V(~1_|-xh{>Fn_B^!GNigP`=b@yca{g6yl2Tc#1nr3g
z7kv4qD>3s9NY-&E@15*Sh=LjL04sfTCrB0peglnB&F>gOa8Kq&GQIU;cNDbl-#N~P
zq9a~K`SGyr_?eGRO8W~$enu}2-aJ|vEdc!=^rIg!3Ylw<!OU-s_=4KSPx#6#L)8x2
zVLv4lgA^JIB~7hGThoat9r_dKXZ|w}ubXTw2N@tQ$A;PGGN_i3nxQy1e_7m`lY(x)
zbV*f_TLbhu%LTd(zg2K?H!~Y2%`=eupz|IH8hUSv=d6*0MaW|7x6qFgEPYj?UNEp*
z=c{TfEM}db$I(yEMf8`@!RTIoi~-JaNNU)nqQD;{oKDXZex6jYfBxVi9%;ujEvlR(
zNG-d<2;D?K@|OLDMd#>^B7wTa7yC<;PE>lT^scaP98crUOpfh+nK^&`^ELS3fB#pD
z4w3Fq?jrM)@!!v}^x<qb+G(=%>bSt9DP{!{6|p8lvFIDE>zEE&`JC&ZeocGcSF;a%
zx%&%XyUOq}gWkO~`#-nxK!t#TN@dhH$%9@N2FcGqc1ZBB6C5#Cxc$RVFwmXN0vYbd
z$(fy-9Q<1F-@O-SB84p5bGEc0Tvxl%LhYmg@MWynM)j&26h2_!e>9N6cl$<_CbEnO
zAE3VB$HvIPG?lVZMbceT1<}MVbx9Jqf7%qhL^zJ+15{_y9`9Nh)l^>ri5nZn2K%+{
z3nND=*q-p|zQYsyAbnBgJOwcZbMthZtKRT#^L)^mDoXzK_AaXL^ei1^_lmoslrN(8
z!30w47Z_bM!xYhmGMJ(}GLQ*B<uPy%p{dRhM*jhU>a*!PeGDd@QgItA)iWkssno<c
zyTaGOICtC62D}y90Y*%8zuMDmeb(4c@SHX$q5vF6khomGXf#Oi=(}-aHH<r<yOiTr
z(Yg**9_C#?Pl~+lyIFmnbx?1w<F%}3AXphiLM|N9Oq-4_%v?B{dX3-0BnbPFQ_yjb
zxU{wclFTIbsem6FPp0&soE5)>CS{i!Lpe>>f-~^wO&OO-9O#x?SMuEQvsxJu>&nWk
zyM7z@ul@~#D8vJmFndQ3H%oq|$yovk0@*Xk_3`7Mp?|(GH35Z<FO1k<pC3B^t;G)L
zYS=Hk^F~Q1ElI?mJ(<+CEa#oS%NgE6>4naE?L_exU?SBX=%X99meWG$@ElJaf@W3x
zi!iVm>O8<^ls4;Uz}W_yAl!%>>Pk@wdAY8KZ7Bt)>1@5oA*f~FujS~=Z(}|B`?7ME
zYA2rJLl&%7Yr3bz|5hukd}U-WH7tr*k2nnaKbrx6MSA=ii_m>d`)`fmcN!P!JcKX1
zX5PG1{FeC}EMThj1Nn2uCBLCXKzTUy_EUO9mWHxW<Kx(>U_D|a%>~DV)8ZtQKjnFy
zm|FinD1JmZOp6yXdt4SvJ@{n;xc_j|z=vivNsNTQaxNs?8rJOL*}0M1{a#5-mj5-X
z(c^ac9hh(48*=~fXfyPWqVaK>z@NiaC8{hO-L+qK<;r5Z;pVjUcA#W<=2KqaGbjKL
zd+x0<a~-HKF4MV=-fX<~)b+RHpkl6SWDa4~I{u4L5+hUflm`Lc`g7~WZwt_^+KE+|
z>LD^?3&6YPJ_y12vguxz8R4s^i_+p>#5rRD5Sz^rfJ6FVsbc4oK1s6a^ProOnBIk1
z9%C(ohWDOr+uE*k77~3}Cd_EPz?JIDZ^exLXKl!Q?&t0_799;Ugy#JE0P}&&oHTf!
zyt)2L*z%F3!peyfsn^-k{C?AQ7L<ezgAi|}i%w8cDXbMoS{F)*JG_8qcqL<M*@ZC3
zJ|{V6#;ft^%p4Ncu!A3s4Bfc0+VfzN;CHsE{!QA=g55(X+Bnni*eI+Ca4q0-$s%Rm
za#-5IP?(mUR60!6p><YMJl?m{!r^5h{_$$ma@b)yGL8UFLE07;A8md+ZAM4+th$mk
z?^aizV2yVa%h=;|*__8gd#;a3AAx8dI0+j=9KX`%%KMzP_C9Xo#e|E=zI*qBU{M*x
z5#Y2B1+vc9Xz=3KRj-Fx2YDz+mEjZv-+iN*I*YSy8;_wbTy?P!jL&ttsCa|R<H0!d
zwgaf=&Gkz<iy-nqLIcZp2I3!_UTv&vHUAbI{?!rUVSzCAITSjZSt&%`oG#bF?|#2K
z`t?sH`#}H&;6a{m7|!{cQqJ>lIe)^x#A<(5N*#0{=<Ko9Hq*fX;&6X<g9)+a@m1HH
zlKYA!LqRc(_qEZHpLt~U5yrru(D!|E<?m@*+>2ZgTYu_&b~|6P9fhQaZ>78_bkj+;
zS2PNszK5W}9*pW*0+V{YIwp|`PPLeX6N(D-T70dJnWM8pMqUKnzhffK+^RB34ZbsK
zyIgP29@b)6Z%x>ty)WH`5s)3UbB`Zb@5+scIqzQy0X+D}Tc^gKmDm36QZmAJw49FD
zIrIi;R1VvGJzKvo%?!7am<)3lc5ds$-X=vE0j%Jj-Vd5@L}##@oqmNEZx5M!)i=Ap
zO}~y=AuTd%yYc`PdlH`9_S=L`M}(Dnh_?5S7I3zH_0~$l;ZnKs#C|{Tg=)DgarW5X
zvgULM*fLj~*)QA^nC_CVNs)WB+&_}fthw@r-Exh6E)dS5jpgL?$r*We@77(Y`T9rZ
zre!z9#YT-wncwP9M<kp)>P**Fpr4Y9uY)LyLWmF-C+6QSa-zUa(%ascoiXWlo2_SK
zFT3-=i^FFphi4)`eoN^#`dtniW`mTkMDB!z+Umh)`8C-iod7B}ub%vv^7O_$yL^7%
z;pyRA)&Rlz)Lbn#Df1HPRE+4D`Es=-QXL=NC1vl1(6bK<{8|lfDj-VeR?*zzj8Ee4
zHPl+1E3nR`uXE|Alu0QDXLz5kilko4Hh&NGM6(#RdRMCta*s>mR?ej4dv%lN&;6*|
zjkquGcB2~baAhP;C9IyUQjzhjrOp$7?i+WYeV{$9bd7U|^a6LON{5l`)WY4s1M>B3
zn;Ow;PJa}MJiTzLG9@qAtAUdUk1XvD0v&H`6Cs^ciFC5!fwQWIr2A}Y#<U!^E($ui
zAWx6<71vy3_@F+b)9)vB3IE!aEs0~j{h@740T`^_4=r%)0HRT5J`%V*a`Q~n9)EIu
zux*fmcKoeEFgl#X4P-!?bsIiM5%7k2QUEP%cmSA`?*44`FIl-5*-3MOT@2(^_PJ)-
zrY<Y=i<Ms`J{^2{bU_!L&BC?C`dJBX<(Q1p;%{pgRyhx)T#|T=#bzGh!s}0*RYut+
z^`H+7YtG<ut=vsmR+Ppgl0Cglk$a^dkp5(ijGCklig0IucM?gRlDPkEKSQ3dE?zb6
z(ca56WFA6He0uo-(0ptC3Q5?<m~Y$dX)R=*PuVb9meby5Kb{oSANaBd$)T^Sg$_~b
z&!YQ%>CU3JOZQ=>GB>?^xT(~(X8k!0L%j}NAp`HU;r9)m6yf!#*qI^&)0)dK@JAt(
z5OqjpmV1uzBm~)-`4s%D=1G(tw672|EGDy5rUh}&7Ae}o?YJ$^6MqmT+4M2Ce!#-C
z`^Q&;Z-umv+BKgi=@GhHgW_me%_TlAp_ea2tN$(g>Lqj0?Y`lCdr!OQL<C#^l~@Kt
zueESRaWzDXw{C;_Tk1iQ<#R6}EmV(#Rha4QCiHjbqWBdMEP)O;Yo&MfNz$E`9rAM6
zM(f$6Eiq-Ojs}|XB`J5hzv|3VohMGD3q7SMOc#}9bV4mkh;`I;**%Bfr-gS>gL>qF
z3av%v#?DQ{LU=vds~s^Nu6oz?#>QhN2=L!Hd>j?_#xU{pE$7HeJFZkm;$xYSgsFEC
znhW@B1tw`9eUF!Rg07vAYt>2rjiad-;Vd_P_RvOn@BsmZ8}r_of3FL!h&~Mw4!3C|
za8-Ft$|vd;j713ThZM+0aZE_-;RK|@(86{IiB`Y)+_2lX56{$3mawQA=xj9DyS{Jw
z3Pw^bm-3oHMz{@p^O-&h$@2exDhiK3FD~7ip67~Hi$1}n+z(0?*&FliAaKmdf(a>v
z65x6BA{exej*Gn%T#|Fp{&C)6kiPUrK1if;ns2R7Ms3}M7IyC<#b9R;2Ua{_;C%=<
z1L5C2Bgez}C(&pAsB~JdPP#YOPldYq)6iYI1Wyp<U=f(S{*oAuca?@bp3q_tXX<Ak
z(DRVi8^eLGy<5RGzCY!(ez7&8y-UiwS;&<m$n-zgg({a95~qHj>*=Bbs>gXQ-=Oh|
zc!zU9eXjLpNzP>s-(j&8MzPeAbWA`DIjgGdIp$T6I96^>+$a0IhpxTi`!|fx#}ce;
z^nT#qvQfYg)8d;kyJhPArfv;zYD=m3Q~Bm}bB?qlIdzWBmxc|s48(5#fJM+;KZHJf
zkLN~6lP4c4^HAcyDTTT<IAyhq-tVv4`h|!1@by}KE-Nw|&qm}9dI)!wZY_t)CUYp{
zRrdAkWM~&(fimDHzGO?b`@VvA!txn`ssId(c3=DcgzW9AWjyUhb~M~*u`IEl7eh=@
zp$HSKks*f)A~QaAF*l{xn=Q-9_GI7Q)G(<erkQoi+GK;3-LvC^FZyzy=+jLX_^`Q{
zj@7bhd{#1^wOpxa*MGw3gwt2!tiS7YpGR5s6*N)Z&#eLy$zL5$6y-`>+qr(@d6sdq
z1j_AZV|?iGZV`B`SB!YSJoWRnvA*E|-{xw7wvPf7s?ePjOQvfVOaTSZmQoN`f+J6f
z`GoSRx5{STJsauvZRj@+tWAX8$+DW><lMe_4-;1q2W+pZM&@m}P+BGvLgx38;aG03
zA>n4PAQY8w>aUoecN3nTbX46xJ6(Mx!NkoyoFiZ%93XPm*0_QLD1=|x5Kc%Ar*E->
zk|fHO)?*pK0M$jjq2bZ5u~5vjAZR9pysZDdEK~c<o{L0gEsYtSDoFp7eB(Da4^XKo
zfd@aHWS;5%{Zf`dj;}$#T-MF+uK*OvMrKNyOsWp&;gLVzE0ju}h;_Y76w0`DdH)lT
zMk4K7s*HO1)&Z*^qBsDVIL|2h;5zhq^c3f~Ak5sfxe;#}inYzPhgTB~z5<Vs_zNxd
z+#Fed>sc*{k3uOv6B{HWMCS=HUgA<5PzV>I>vzfi2o7u_$fbV1T%pw0M#c9u4d+WW
zDCwq?Ua^%w2MuH%K5{$D)R;U<mX<5+lGGW83vO7CKd)AT>p?PnW`%U(1LVQh)0$gU
zBC-4ZtCVNkt!+JvU0<daupV-PbckF5@1w4B8{U#67rq<S)Angk1MP%0E5@04_B>sr
zz*_Q~A_xcq>I)H+A^|%Cd?t0~_z9q@uJx+!G7a5mE|ToLS-&RFxdU)FTx|t~tEpG1
z!pmA;FzyuSRlOv51C}MvyHHx;rNC4F_rm_7YnFentF1xs@K#-wZw-_I`-K^ipr|<L
zJt6%=TK!D`)DZxr=(kT)wS#c`LNfa^_$9PB(oM!Gp~`c&M$P9SlR(ozGqL&;H)s>?
z+i-+#b(@r1-=3{TE2u{t@I4LUY=p+WR>K=4llRWy#boP9poPdjdNfkp?lQUk9O$3)
zqElX-g#D%&*DEJxYRw|U8llyyZ2rMYzm8Y|z(xJ$YsSbja>4=l7P=d4<lDO-+s2*)
z`>Ngg<0_*E6yK8eMWfGMbwB?H<nO?vv!r{35e-Zw6s=kv?=W@W;dbZmIJ3tINkRy5
zM7&~lXeRR8G1NqSmgNs}9MuH}p1Scn68j=uknLO+{*_!*WuC@ifUrz>*g~US%*oSw
zu{&GQ=-IQ}GRWzrz63xC-aoQZIzi!mUBz3i<zlxf?ZQ`>)rAvgKZxQ%%L}y+U}q#&
zcA+|f9JxU3hN^TuR0H;;XT(W@>0<T`FPw_9;){zys+b%~&Px5L+Yfmi3GbMJyB^5D
z0qk?t%!}`>fj}@t;Ke=)0!VdwL3sf$tb+bhDb2u=$%}(4vqZVaHg@<X&3+xOWYTa6
z{w)cLw8`yznj2(fpG;p~j*Vb{a;<#pI7u%iqVJr`?FC<Y+v=W+0%gBSpsAC({qDW)
z+rqTSijwpzY=I_&!a~_d^9{jSMcX=DH4b#g*U4>%u_I4@*>hq@EuznC0^Ii7VemLN
zBBUBLCBq}<J#D10T|L%T(odsGDk`wb4m1IfPSs!S{o4BYq@%}}%l$hP;gRD|8>lnK
zf6Lu_kuPWgCvqzR`Oh<~9zJP{*O;r-r~a^VdWHUe|FL6`p8kN|b)5Rf7`>L@_t8m3
z`=WBrv)IDCh|f5yKL<=jz3kF`TSHxuWEq;`Uv%^of7wUeVqS4oTzq6M${3G!dj6d9
zC`vbP?VGu>SmO`&0Nz#~`cJT`J)lHgDELdI!)d`+16WN=%FnBWQsH#9h!umK3lSvY
z^RnS_Q&{U#+@&evr4%@6Uf-4s+`)hD3@H1}bz&XEzN~%^cb?>8dL>J=@eFODA~rx7
zbDf_N$(tKS%7FM3rws3_!H~Q+P0TbRYy2yckvODXGl^B>aVfU6#N|RFv?z0v9{#cL
zo6vxCK=dX5ciztpY8)puqz45qQt)HiBI%9kC2)VlKU*U0Rq)n^T${GpY$R7m7@SLs
zyOwth!Z_=tEL#2IhPowFW+7QMix7@*F2(Zpm_jPs^W)svt{qxMG`G%=s5zSybf3<?
zqw7JOdNJ_jvINh;__1#+q$`3XC(q72nRFd!a-ohM`@POhO1)H}kM<mbAv+R|!<<<(
zX^IJ(7Zoz`i0ECP`!ufea1tIK6+w+9OS;GoW#4TcN}*5rgE!n0FM4B_OsJSn@4T?d
z4Vt?-<1KmjH0`wpR4gR|XjgVITVnQxeR6zt1`TfLjeba5TA=F;W@RDU^o;^({3BIo
zsptZU?y4t$T#89(A^X7H;AYk4|1haZMP4s<0mRG6@;h3G0^X#2dQPBO@=g%)@pPVF
zuK=M!Z~ocGXA~?I@mXHTqwVtEhdXd{%g&uUb2-x4A=exvh}xIEpRAh1Y$$@drhLgZ
zdt}tDq(L*xl)Z(SwDO$O({?plf1)u4y1+=Nr1qoZtO)IR+M~~GkQxyP3Sd^EsoDse
z@5|bG=G3#X+~>MAOvN|uB}E-*=_$~n$0~EtTu`9JMActl-+YNGj*_0lL<gKg<w(eM
zmuur@FiMQCuNP?{Jae4c?$EmS(BoQ0OA^{KESO7}4b8Npwe82Mfc(@pT~GK6C8J3R
z-A$0DKNccSYD(J$RFJoA-z;bLyeqXqYCg{9+e7>zOffHv?M}DA2u`<HX5K|t%$}ak
zzokk58#AOHUxUbySd<#~Q*)IN`&6y!D`B`&{WVQs{}x@iNNO#eV#9N&h_s@$86}Ip
zzR>|Lu~&RgN#$R{wiHW1{}3b($X{Nrnj@!P3S@WX8@&9v@s@7sH<&2g?eclr8%C4*
zQ@=B;`aB$MfN_C?1TNG*K>^y|#KhP^{B#kg+<Jvikw)1{$#2b|lW(|@zg&O(^>9>}
zX*nh8A6gCqAui?k7y$d2UY>GCZF}~MA*~d|MpONf*50XkqBaNvB3T1E54-VV6)vg@
zPvaDjHCKJK6*j=%XDTW2*1KG357vf$@K?mH%8H1)m|hv44in>-oAtV+wD;Or`%*ZQ
z;V`Ch9eo0Fa;!&A`TtAP@m*zr0&+KLXZ+1B|C0iD!y&FS8|~8iuNwOM<+O+)?T(wp
z=o<Yup@oJvd_$NGTlqSmsek_!9tNj@#fP!IC#n74zk+(;|MS_|xv?IT=)d*-zt2hq
zWt})(lTBXTe-nPdl*1wV{O?Wv1x){^PqOn5nO=%6`BeDWZ36hCt)Zu0r)nMXe*h8D
B7H9wf

literal 42443
zcmeFZWmr|+7B)<GY`VKa8tHBcX{4pQLpMnGrbCc!r9@gn1c6ORBPk#qib#uuz&r6d
z@x13d=llEp`Q-B2i?!FBbF3L-++&P;0MmY`f{R6og@Ay7`#@Du7XblT2>}7I4g(3?
z`Nm>w1wIgcbXDXL-i%Ry1J@8cqX+hynh2cW3k(EgL_!4QyGOte0-^xIT`OYnUm(T_
z0p-tq1O#R9i6FoyASli+AkHU5&wpQ>Ur<~~2mt{*1^HhsCQ?xTb-kGa`E!j98lI;R
z{PP+SA%*Z?*BEIjf38u4MTHR3QvY_H_V4Q=#D7ayg!E5|kd=y%|9OpA_rIk3ZxVC!
ziHh^_At3zcXOb=g9RdQ%dnbJ(Un5NoaT^ae9xGc9YdapOo9EpC2$E27aOq~}Yef%r
zb9MI-he|R2c|sgq-`(bAr2q4XuZt9;k)}4if`_*qy)X|S4<Dm67Ck+^q_?fTxUQn|
zKbnKzq!=B2eLcl_d7nOg%JWo^$HUu!mtRawjF(S<S3rOpJi+bb@9t{_<#zXB`m2+F
z_M>R$W8>}Q>Fea-PJh?0m9>YTuM{KW-9Z2P_YXPUJpVP2yU#z~3cMdL)XI~WpNEh4
zzcsRhI{jO`|EtyAH~+Jlr=y3jhmWJj{}}OKU;obzY;FD}tEZp0>z^sHwc)jMwR5v`
z_w@no`2VZCzE1Z4L*Bb@{u=JjD*QD$l3*#tH9c&d?EMw3eC?#~whA}D05_kI{y#Uj
zB=3Jb^Y5ws(^|pX4z&D#Z~eDt{?__#2F11P?S1Tg^_|@8r2pEBlDz+U|9>}8baHU=
zbqcVv{a<bW{lI^AqUUGrV`p<W?!TV_2k;-G|F>`dcMn?LKn`~+SLy%O!N0!z&-VX*
z^M5_^KW5-x-~VS9{}%JV4*mCq{@0chzgw!m7R2_yt@l4=`0ow=CV{PuxR0N;vz?9a
z-^Kyk>d*O>w{qb9+igkS|N6A#-KG==uLt(D)!iAE=9lFCf86`Wn3BAA2mEgb{!jmZ
z-397I8Vl^yf2t;FtS3lZVh9Mb2oDtH^r47*`RG~1N>c;4wn=$DV`3_(n4Fx(N)O^n
zihAN>$qD56!WrXg5fx?mLc=i$SlHznRL8`2BvwUBf@OZpd39=vyc3kLYB^go4tUmH
zU48rIk)FA^dC<?okQ@JuKomqdSqKE>A0LwOAMO`ynURzI^Twb1=h%poJGQhKNa3OM
z^ca6WR^3n(3s26@F@OF09z8~^G@H-gdP70<V4}awYZ=gL{l7Xq70X8cdow5%=)XfM
zxaa*pyT2QyWc(xbzXStvd{_ki@BBC-+DHAn%s~&g|0UI3vt?!3Q!$U^LQmemB>hX^
zuRa3ke}C0OVbH(-v)_@={{H%kg;!7U@~*B<4m=)U-n}hk0OR-30G-5>JyGbPWfMQ-
zGnHFpRInuds&mkOH#*(k^80sNy>$-b1x{11E>dWu0(`eeve~o>mMZni37C}6B{K^D
zyeS+XDdgs2XPCDuPwLs(r<dwvocio8v#$@jZiAn<^EQa6eZcw*RroM-NnNb~kK0mc
zc=BVRydYpGX79!0;ET)ewWV@tbcxDAIq83O*h(7K9f96;v7O7?dA=Toj6PN<bG!fU
z;B5a(Zk{9Gy#^7=3an94MbKlOFzr3uRNgP`e#0+#SGZf2y!Yn$Y2D`Qiv3TvGdK;b
zY5aHcpYAWVB#&$jzjz#S{gb%2?&&%l)B9n*_)P6%8E^KBA1y2U3(emrRp`F7`Rst-
z-b}{y^h9B=fTrK3%3ZQ^h27fMqN$9sW@}8J9<BFnwz$mgf3NLgJ^EH&DC{_az^~H&
zsMbQzeq_S=f&8Bxr^OUHLM<IA`hBr8=!*275ns^dsd>Av|9;yJr02C?YPzHW4K-*`
zUE8U4dAQcQ=Spwy(Q(v2Q~fBtS41H5eUkG`)zR0|WNBRkR*kGs=0{GQN@vd6s`3y%
zSg6RU7`13LE|uXc4GP7NRR+~Y_dfj?%a<VIHX;6aJSwtM7m|~g7q~f?8t`-1pw=S4
z5G<SPN~ctx^zXx7Zqv7cx7WX(drZB;mB0W?Hj*oHAUG~rY8A6oX;i;%{`8AMS8z~<
z|5^_!ie7&LMJ04fQ>58>X7}r4X`A=f<ys6K`{9?TE8OPor!6bNrSs@?fe1E~91s3F
zK29i*tiy3<!xik!wQNBLBlSk_<@e880-8c@Z{9!qRkF!oGKo~Kk*!;8Sd(+#g_V`H
zK<XK3?_#UhhBnr4CU-owp+SE#-8k(VWn<e~v?yj2#B_`@e&dz5yL0AGX{r@+6yoKV
z=vC^PYK-a`!K}7EE$TnQXf$5yi8|_Uz1*!f=E&rITwuV|mm+tMUuQK($VtA$dus?2
z6BC0b(Vtkr_x?~Lxk2{H&UiU2kxIn=W7<ovjsA%|iKp&h{5$1=HIgkDv#XwYuWdWW
zMH{#Nw^JE2!=FP}PM|G86)PRYJ72lVHf$gCN{uO<pigySy)VAeA-q4jNs;gP?w~k&
z%<mdO8<&*@8i~RUw3rwh9!1C#hKD{t>98s+O@FDDp=&;x$!)5phIL6Aj$oIhp((h*
zPO3&OPO6K%m7p?^Oc!$bt(?Enpi&pL{`l&k%VFsGgGtQm(QM3nPjVEiO`17-D!|b+
zZE;uf)@jiyl*V|a6i?dh{v~HyUN61;&)I~cA~wG^c*sgQKE(Q{NEVSh2HqD>cF`Xc
zbwJ3XMvqC*<!Z<Nf_$@Fpl_x^r_}aiTBH4_bqKO4&APr8oQ=C-4jppAfkCeLLGW^^
zdCsExfG}t2t=r-ovo`rxX*A69>NR@hcwDN|<iB;^rqD3kj~65+d~m}Xma*^(5byp(
z!l`d*DmUpM62?Rfo!lBPq<bLby*WtAZDQG!`|B5asW~5G+F#mi2cnI~+?vBaCUdnX
zIO2Nn{ueFnJqiI^dOb{KLbY_8M9rL02+K3$qbGawIx{n!UXC}r2g%F+51&<O#qQ0N
zGC0Y75Jf7O+zD)te1SGbeQwLl!m?&kUeLf6&u-l2%`&X`L{-A~>j!JEi6S}ZUc+nn
z%NN$v*7QUxNkDmAO-$czwj#@T-4taVXDbvk?aZ2b<cs@p;xZibUDdC{9m{Lko&IQ4
z$wY*GcF~qPE^((%WmDx^kK28}y<K!yn8l?Khzwq9?y&4edh+PAy}?fJG~UMnx{y3p
zP0A+^jr46wPUH}rG^~=6E~*2hS(MH$5g27q5hE~KO$rr`u;y`(`8PJW2aYgYy@wW=
z+!mUkd(vm~HliQvD~Fh{=pTzN#r4EIqwb{nwGtwe86utX^J&18N3MKg#3Sm-@oYgh
zHfOO4d=BR|nx3b<(YP1ec_`sHDpH@03GQqjy**@Ah^w>b*OCwZTM-SHy}Wh&0mkf~
z-0d`rulEYUs%B<zn*%i>BHRI#?t1>n)C-FM%x_g><<Gk}qP`I7OO1Hkuz$mj-}^bB
z;*EmHgkkn$(#R$6rFBa>0;AE*k*m$eK}Ow5GuN)Ph@SGdXtH4}tYdW0RRVsauyFkz
zOf8>e>}cX=&7zwOZ8!m6P)nIE{@SH@h^NAm(W%uKT8wCxVN`sU2<>F4a`-gjk-7O6
z_%@9sr8MPJVBZkbmAh80K3OVNNe<Nt68OgihUpU=R!PUm_Y<Z_O(-W)dgaCS6+WSr
zo{?7nr!`%KSUQldko3GLI{dgWFFgOU7^*;j82#!>$MWMK2l}bln201$jg#-<`>(Yz
zV*W_gN`VN!zt0niM`AZN+RNPGPlH&yu+x$B?(qLIzXll48EFTD+o+_!TX+i<V5)1A
zi~j!XQBvqvpCf7HvfDrX|D`Sc?!d++2G-y1K@I>KAUhD0z5Lri|9^*nruYBLIV^)c
zMUeb-tC=f&{rhD64sZaI1x%Y(fu#S@x>EAtK40#)PcMgo(VHw$;xc?~)Z+f-m1eGC
zg?6`9L76{L9vHAt)sB?I$bbrFi+bxmh_7k~m3wP(;Kgw<=U}6e-0H5(?QcQDOTvh2
zQNP`3(7*J>CK2Iiu1M|UuHdbqjCeBM0<K3qH;y)Sy*ghB;|^d%Y)=lB-v?h`zEpp4
zcX(BjsPiSB?tgA%gRu*-GXp?LFOOnW8GODL!+69Pd2rw?P3SR}C)UBc-+ASp3boh%
zsc1gAV<xTvpkB~XAK40YBk_&-ySrW=q_gtaO-Hz19}n}Uvufr@`XAdQOP%dCj<Yf|
zL+glo8t5T<7_sp9WzU9|6M!a}j?i$(L*c`DVm_w}ghP0Y^fx|u;dD(-O^E__L(HtK
z?w=c?W~$hI<Wl3lB0|GC=fn9#Bc3SQmZgE^HHrvLgFblh0GKoqm;>%BaZb@}cG!S4
zJ|X^>hrhJb>LWtucg#dG-v|6O0ka1TmSSR~m22J1&x4gN0O$bX?8F^?Km?B0YDB22
zB%N%@C6Or&VXejc0ANon^r;Bf&zR`X#IE@97Z^L4L_eB$23`ONLuALpu8}E?;4p#a
zlY$<i?u5;Mw^&g?oJViW2w-Gbtm=hU)uv!zFv})Qj$v(Mx(o6nR^agZKoOd@3EXN-
znw=+#5Tm`g^$5@C5w_{^Z%RIWMs96l#9)Wb)mbSd1!7VPGljx?6=UE;8DsXFr3-m`
zEy^Uze6cok@-NAy1EJ)8Wfd<ma43ZwKc=xzhc-X2f)Jsggdt$iA8Bs`yhpm4ZTmSK
z!GQ_jhJHjNQ<HS%k~^KE6Em-h3{9!qV#^d`GE!<Dx&F0M2yD*L%XrQ~c{2#~up9mM
zd;`CJL`<3}1qwg|$z$;W^d3Sq+pZZxa!rCYS2A?^b+c@R{QIaSN*NTW{qhexOi;>G
z2vCsdKdj6FhzY*+fx&Hv`6fTY<`AZ)BaBPN#UvdS%>#}<vWbm43(^6&-F{i91rTC1
z4n=s3D<AFI-e*Bz#Voa&f73`jkv(31b}-`&Aw^-I3yxOxjOqpGPoB8$2Z2p@EFaI?
zW_Damq@#!r;P@0k*D+I}JgHDsSC*r+^z;n}!hUBhB{0{vn3PMMLC>zV8XLsRzA>pJ
zxh{9KslVVk=)BrT#+QWP#5cRlN&lSI>n^z5)XEd}>JCTcoQiKr<|9qOSUo>g55@w{
zk3Y)!@a{x$@6Wl%9tHYF#ER>v5%EN|Zi{b8U}QLSyjv&z8OeGWp7<nlz*lJ=4n`Zw
z<d(1>A+P!JxzRz;<>~&?gRw`CgZ#eu&25e5zNqFnJ6O>IIFiMGq25O2www}`aIwXs
zoE(n=(&f2^Bt{o_h*<nZm0rUukjJc*&lVQ!yT2qRFjr$b_u5zx3!hdpE3WJIMk1U1
z*5EtvW+Z}ti;A6vkQ4MrP1bigIq5)Rtx(Q$draepf9)NVs&+uKn2tV`YmLJ;Aa<Ln
zR|JqN>bOW7x{l_F?AGKNe!LqeBkmXVGhV;w-V6a0lOyKCI{Pk_No9NZMRNS@L~nur
zHpOlEE#&-H$e2d)oA*CwO>gbZ{btUOHXc9waX%q&Z}Hgw+shZwp%Td2SgOSjRSs_N
zxK7|tJeO;=WSb(Y=N<)%=CwcRNVV`u`!{_kGFl6nw?W5-IVr514vCrekx4v!%4Ypz
z)0M#(`8K34%JEB*?}S4$7QV&`aH|?aZ-7#{@IU=JDIIhv<UAdFDzXw70ZUT+P`+86
z+%T>~fK4}j*gm!AWArT+tt2jyMuJp<hU`jvd%oVrmQeG#(3zN|7!=+uBA~<bQPTHo
zN|oJ-$VSiC`K1aWHVn8h(oB`XhBB$jB|9On&>jH$wK}EBUj>e*w=iOZ@bbH}$ANB+
z-E!>OG5fIG(D>j^y|z_le_b<fwC|%YpB4zZn9yoYBVTrZ|I^U@-JG}fnDgA5n&3=!
zop3j^z`c|@;4ZQ@0!M9^fQ=LCJ9>X^^`&WNpuYf#&2DA>N&<FiFZt)s6-_J{a6Tj|
z5%<k#!z-yBBzaE4adgs-uSRdG4VuQ8F20f6X%W}5Is^ipsrv2PkY2s=hb+iUO917K
zqp`c(ms~CgzWjFkc(-ao>u1zT;ECp5V4%J|&^X%D`jo><nj&8!4OPMo2d8Q6#tUfF
zY1wMdfvV*(X~M|Y(wZF;`XfilUve-WDX#Y&o<32SyBm}kI7$}4*&E2|+O3K}$G=n0
z3YgRh(9Kj8(e;2I&2#JIruEiJZ<UOy*B*Ay#CgVcC!EuKwLmOH+mi>zE(VXLD#=*8
z2-u6fXIqY_w9rBzD{w)VfbF_x+yEIMbdbm~R20ROJ8#M0dSqQlB^4mFv+5{LA4DZU
zLDN4N9bJYgM^6iZz}N_RX}8<bgM2T7J#iXUEZ+iueWntxq{(RtuMc(Le&0s`OY1%{
zJUy=<XEDo^WnHYz8bXquX)n4MucUT$745A&scG$Y%B|Y;+z%62$j0nAbxb<<v2}je
z)HEoDnb>-bsT{-K&}Dvio*tl__wGnbmAA7J@)~TC@mh>{HR;DcK%8Tw{}tq9lK2IN
zgo@>f7wYkj>S2u(D_5{<9&~-1>$iFAQYycVa)J*B2Zy6MV&N<0<Jz69OTGiS8r4+B
ztQCEd4kJe-T-{-YLIpzhK%;X3+rgqZvExKMlSX^ZP8uh3N)i-noUq>)CqCOSkCvZY
zMH=x6uz@68i?P6WZlRHM5di)<K-j;>6CA{7fBPyjn@$>MNdIA$?~*I*^ff)J5K0(S
z1;IFGv;d-XgcoUgmHZmGt&0~YJ70#14l}So_~#{(_9?ARs<k<})TR7qNhAT~ZGK{`
za9~NkdycaZrxvZ5px7puNeH1)_>6pBq7Tv4_;;l2&Q}luokaDk6x?acf8yHJCwCk5
z3Ij9b-}mS-B0*59ZQ^`T@9)v3r8~3aPRFpO^|x-rChl-8C7nO#-@{jn1dyPyA56@@
z|3sz!5rczJh6xqZ4d3+{Yk-15*ACP$06{)9gCJHAiyZ>AMmmUTNC)M-lf@{1y{<!W
zF3!Nf0HRLdOpd+aeOxRb)hZFWD8Z>;p$%-j5vs~13mBC@T6RQT64UAXd_sm%bCR4#
z>)Je3DG}R4;O{#CQvoc=)-emu%$9}vb3uI};`{p}qrk7KGJU0yJw3{T63SvBX?5L}
znK=BpHOB4s=6Y!n_)Tv?5W$<m1RO|Ux;?Ld&WU&|Q;&}GHR<woLQ;&H_vsF@s7qVZ
zpul9FJtBS99&V$pT(g!%!Gz-h&U!w-4H{WVi|gkGV3~2Lgg1jvUEc6-d4;95Sog)<
z1+89m$$-$7`nxAT+`F!y2=!DX!XRhNNc@#tP;cgNK^k=%;zB~L)3(({i6Jd(<wvms
z4<Du_hw<kCLBKf#QMCAX2c7Q}V(@BATZAinQK|5Gm~KEw?Uhzx((F7inOFPo@Jr3>
zdeZ1TFyLu#Ak{WxR5rGaaD^p?Q!}753VrrG1krp^2kIKDt+bLSfvy$|ICXrY`t0ZK
zOsNWf;ObsjB5o2uqe(OpZ!NpSudjY}{dl{$=k&<LOAx8Pn5&h->ZHRzC_!-@Chc%j
zOD~UAFiXO?*Em<@@0(y)Ya!+Pbpim_JKGIDo?!jd0?_y63ybx6I5uy`hZa3o)pzc)
zAHKJTQ}HDT<1f=NF)ybuC>(xI^np1HJ!4&%QvZsL6fWC}(E&n0Kflj;d@93qctoSW
zZJ9eeSNr(!yC-fB%@ZgDS(lPj@31%oMOR7o!5#jVV=kEA(aq<c<XqKR)M{GwWHI+h
zBq%>RXxk|O>+}BC@-r5-=brc_-)C!V##_`fIPZ|=vsS`~dx{_4y`_`T@qWuao|vjC
zS%}GWCPpW_Sx&$D00o2N697&CGmjKVEgB3_JC=O(LOWY(^Pvv<$=ur01kP0}PFSPE
zIO7pUJu{&e6-E8HllFZ6Vdjqkci*MSf|&jau(={rpMfp)CCto{XCH{-Qv3d_7heYF
zw~@CE8RGcoVC$#s;b$YJHq*eI0gxRFpTaMn-#K+uHGv#5BlX7MtNiqBb431(NyG}a
zSkw<ot&)2hV5UMPAmqZX<Xj4=(9Y5@H6A(@h$XYeTM4@%V)?)a+QBPgK{E!HNCK-i
zgjOduwrPk=Gx*e^vZ`YHdjh)iM*=|S*yv?Ruu<<Qk{?ndF&_Q4%O8?k_d<yy+OqF|
zK5RLi6iLA-JiQf1dA|9(6W1-<qvs)v4Ew6)1&_HJ2&&e>_7?)vpZO=t+?<aCzh}v3
z{0s0sC<N_&-9%`t627a1{612d^)!p*^WIcdfu<-&Fnnm610KHA@gP$-mTIsN<gg-d
zx`-SE3|dlf0EohVsJQM_R}q;8ML}E7a)1NJ0kxFOBp=_a<=R$a9Yk7b#RWWa;XZxA
zTtpSX&j2XxSD^?4ZDr3u5{(|2=H(o2DzJk(S_;IgIsnRguH%{apHG2PIg%$f1-+PH
zF^(x7;Wlf9)N&BG-57;o4u;~hhmkbKKC95@Pcrh}>gXJDC=60=HQyJU5qNgC=YMf*
z_oMs>4)i?{5fN@?Idg5rL{zHr2(<xPuHi~&P}}405%|&==EGZB2OTF5-P1h9(n%Wz
z=%ht_JV_&=<u@mB5}rpW4RvjyWf)vEVR<;JoDCZG@3N;xjka5Tp}^O)WFZ_6!4QJQ
zU|gO~X<cK(b;n*CH=aivYbWoeL$^m^tQ>r|w9r+={^-T-Ak`>nS;l6L@UF8AE~_Z9
z0#4LK6sCPIiE{BUdB`P*gY#Eh9uw5n7&r(XfdKWVU^PZ^q#_hU;0ke=zP-2N(RD3c
zcd*!^#noj$ngc-m!(8D+4{o26?a_+R1+5KCdjYZ;s(a&cJq~K;kKmN`&NG}D<Cuoe
zr$Ml+v3vLNCj~J_zTb!eu~vew-IrQZIex*3wCY@o=9civ%FlosDdI9alE6Nphn?DA
zV5PvtK)!mw2!gQ;SdqcL0CER`^H4lIs0Wc<uRo%sAjXi=+H3Ka64J?L{9ek`?3xZ8
zTii)`+U?GWb&b*MU8(yLy2em`eu%d{I;v`8_PNQ4NbEI6TVoov+Ag;n&@;>?^tJsP
z1IadQAMk+jkp9Z2bo1)8i#MTtZvw>C%Aft(?|53=i<SG7lPEk<GH3hjD26s5_Pz+o
zJd+3T`h4q7*|Blo<Y-5;ycvU^s+PXyv<SYi3nC&YcS>@bjjbNgQqo4^s_6pW1KZo0
zvvd>>V>Es+pXB%uhh2h2Qu1C(5%-Y^8+^<2!*#Z9p;nOm;D`t!ix+@DJy=dmf`Wj(
z%=v1>J=J;qPk0{IFa{&B@2at~iR~jAj=E_uA!|6sS3d4GJnSK8m(?@NV?L`a?|aNQ
zCxy4#sAuf`BMi7SqHwdAhaZ$IHf4W<NNy<t!Ts#Si6i)@Jel+ux?u9R8*9CF0=hWb
zz##3ne}4m3+3@@Qv`ye14;RXGWtM7vMa8&?T#)Cur(329Y#r30It_y{5~pydFr<L`
zo{@%9BrOqd(do0j`T>M4_b=_2qYy)kP1(3MbOOTyh+^k^V1{;i!!MK{f@A{ueRj*;
z2=qRLlf<~PYgGF5%+GlF0HD`X4Q3KGnh2&>@Ah{oty93`MjhY71&xLk`iwFKZBjRB
z*FQ_cc4FIiSJ>4>Lay>SNe>Bvb<A*K%h9iG%{XAe{rfW@D09Jj4_C~i^Wv56f~ZzZ
zSJEuII0g0=2!1m$GD!O$+xm9ry0^m~l^RB)kkSkVUTnRXP;u%lc+~1?Md%96xMxgg
zuIJ?a6_J=V2Ak_+2k?*DV0k^$@{i$zDm6euG<cy2s?q4zu)qDuO{tYz>C%xg&yHz0
zBwgM<1sv4(LHkJ(`<7<Q{yQ}G7#_R^Xf_DliCGAnMLI`KAXcBiL93d;y4cJfg(9{7
zkbByfl`3Lbixe~9idw9r_xu%RCho*iyC0W`$cb_p3A<(CMy}8k$4nx=5Aj4l=+qf}
z(v<xbzW_j;rZ6?aV)T-4msL|Q4N0=cOhsYnvcfs_U>iS#>_{+7$8P$u6sbTNN~UFD
zaku<la&$6+T$H@e`T{=la@m7)_HiUj;J1z_3kkyG3Dca(a@)dsTa!=q&ctk4UG#5I
z(D0}$>Wi1~A!VwTn`~tha$fqOrVG{_@;-H=pQ651-2@6n8;_jsf1%QqMoRgHl@A;M
z*vF4_7ztMPtZW<{4_xM;;W7$Z^N9(+*aKKbE$v>pp9X9yP_SkPFE@;TW<C0Zkhmj_
zK@Z105FFujyhB7vRs)pdX+oxNUCk&yTG4HiRm~U4MX*Phqv#Aa$+Ay;*2oq(N_>xd
zTXnoO{Pf$WsKO3ye+s7U-;=9Ki|u|c$GIXNNgW&4Y7h2HH+!vP19_4a)Q;utf<^+K
zKNVKj)mM(Ir+q28>kkq&Yijp@tVC{#M#&~p-rt?69w;DN5Ic$cT;kO;oQBz(!v6va
zkAvv+Xz5FJiiP*0tWw3(97xXMpgfw|O)J9kNkD=Oyq3p1kkl6+OnaEVT`Th*nD}ZT
z_d!*5yNdqKp1@Z;$-oEr(4lLm%4OWIC9T2PSy_SQ11CY}2>JE8Yq<S8cIoqX<Z-Mb
z36yCuvfSim1d5KE$|hVUO%)cQDfZ?%9Z)Zv5Bd&RR-ct%1A-pQ9sU)*S)CIXP&lKa
zoAJ52Ou^arxmu%o>(^q}LH?7sSj6n1!O9xE?oOqA!eTjGMs@Vgc~~fkPX7B#ZIZ_q
z=h(8ZL}sN8CCD>Cv=0~lx&fog_=lc32#%~VhT`ZXVXYbZmUXxhj$d5QVjOPapfnr(
zII6J-8;Zxvhf)8$+0Y!J%?=o<en@iWge`#^u4~s&bn0JqJ#7m)c&I4YFFD#M3IdVD
zHn><p3tJHo+aL{+Xvj6bdHOYRUxBhVp}TD8Rc?Kkb>^yOziG@5@Am>by$t9Ce3J}v
zMuJ6oR<6Ci-SKfPOwmMp&g{BnZCP?{Uv=`oXj#+~UxDDOKhYILU&h~S9VgT(OQ{cJ
zFMH+C$6gh09$l6(X1nGeI>Xnon?vJqzaBQ&MmKs}>Ln|Fh&Ic>G;_Aw;(SvA#|e+}
zqiICajK#D$WbW)jSbO93a*4?nINDB6WOUxnPr&cT^f~v%k&xUvH_M6_o!Z15V~B09
z7>5t0z*OOlHy#h3plTs(GxTWAtXH!BYT8vJzQUHp;`<>Mkvy7ghySeBgajl+SqWqV
zEQR<Vz{hsa9!S#J*u!P&sTIv$#C=s*2<GxIj(o1Hd8;~XOEL89xw1c(Am1j_<TM^J
zp2iU6KzP<Q>L!P}K}M;8N@DL#?HN7f`5uhkhkx4%Rn_sT#`#w!wMF%y-I7|}ycMw(
zGSc$A#}*?K;Sh{=nA$?XRj7_%ZYmCM5f}QhPH1lGk?VJ#g!0kp`^##s&oxN6>~*Tp
zACt>b&&{LSJhtc#zesc{{nRl&v7>J?tS^&o(?Me(zAB>W5+dO`Qp{UrZTl(GFe;Jr
zetr`*w_MHb&9ANrxeeQOr;B|J%W}CwS;lwiQX6JYrKIgxraP*H(HXGr7&&-Od_1$0
z0sm@nbr*u1@qkFu?g+arjbTWWxP~u8E}Z}4=g$tA4V&7wL1l$$e!Bz>7~jf11qzN<
zys;;H)(UZGV3-2VUmO#ni%uB}mGUWBFD(f{&~pb4d9wL^hpw5&2=YWOO*tQ4NAXR2
z(T1BW6vAfPQ&BVrK1A|=(mSym0s7{R{}`^WwuS&*2Vuw<fS_j|wWYq&#|KBCSaD$m
zUa)H7U0hl#fBLF0c;A3f?!$Jtp*mO-{or*BN)ttml;jw6Oz(4hF;zS)(rSY$g_L~l
z8Xn9|`iof3ylnQ`q4N=Z%|eB^%JxA$6zU#4{D3N1>LGw8b~x0SWt{TygCBzEg5pjo
zP7i?}#2EH=NNXvRgrk#WabdiU(0(_1M%y+j^#FRPXegq{ZGlG6fq$<X>r4J9>$2y<
zJ>2f{>*T{Pn@Yn@xfAWB*9jLbvBf%H?ALAwuf+&dC8ufZi_Wa-2MW<-nq^W#FY~$(
ztVTbCLyqLXsL%xwzn-W#hecY+5XV3|e_rM#pQ;-a>V+7O&=JcGGQOU!%7_*{DvG3X
z<4`&*c(xygE5K3udnXWuzFG9W90jp7xk7fYF@+P%N+Mjxu=WsxbHT7rif|mq(0+FT
zt=T$F?3)c;ePWm=RfFET(wp%$5BPqXczxe);=^N2)`8YRHUjsSUhd>B0uSRLZVh5p
z{>&~DR(UM3itA~@5zNu^?pNevef^Ik2Ol>n=nF9uf5LJpVT{Lk<<~r7ASS9_Pgi^&
z%O+qM@?@dZlSp~D!AgaHcAe6z$!PX;K`R|I04u2db$LVxLruy!denKwBa2Cy``P{c
z7#ZSbjGlz<BsCq`?UbpGY{coRxUVNC-G`ZjL=~}~tv9c&=v}cCBqM~elu;b3Z6tQd
z-K<Y*CCxcra1v--UJ#$$!W@4ZFIlH6SX#SG<2+M+#$3?(rVAm`)HTM0!q&Aa+Owuk
z+RC#h7LF_wVf1Zn=9B%dvtmj9M3&-uWux7s`y@_KE{jEEt@w?%_x8xg&sU-5N{4Gk
z%8oBXwcZ!NjtAB=3^;~I#r<~c1ma(-DEp#zR3a5%2<ifQ3XC|y;H6tHa}H@34&%mb
zSLUZ3QP1)a_}lxmPUOh*mexogLK`x6hZXZkgLvqDodrDAkWKHKzCj#rWk|<nIAphb
zYLq_czB)vYe{}CiDE9O+FVo45u?Q|GYNfc&Pl{HLCF*Ryi^fczsFC=9nRaY|@#vIZ
zWnF4CnDJ&~{>&?D%Y6N|`+Qsv$yevoZRMPg_Qv7;?a{~`>H*hM%GcB{q<=qen^wPg
z9f?gtDj+ODzph6Rge}O4&I~K+|14DCZI-l^#2MYEL*vl<wp_mgBw&tWe{=xP*=sez
zfI!`iE@zjmJb?q*4v(@?;=wtNUk<!WX-F?i!IRj&s_r?P$_nEwY95n6mfYJmlAuJq
zwOQTwYYGOiY!8iMhRYr+dVL4qr~SkmYO!f&GS-;z2cG@dc<-Tbs&q+-1TU_mCd}S&
zxeG2Au}n4)Z~*UJ`5bP8uED(A75gniBH|l}Qg~}~&Gf)~%WSLq*54x7q&TmLnRj2|
zXQY<8sfss=8}zA~8&;pcV?Ur?%B!r{^Lg#T$8{Xsw?pYeQ#NmLadUNW6s-gI_b6^m
z>mP@e=ONIuB2|f5+(!}E(x<^pB13H)*NKXD%x`IBB(GC?Qe7NTqAV$srNbk4NeV*<
z_ad-=o{vw1x<$C2hursw(A}$8`&1!BkHt3(qBS~=D<>ST!tSh?M8C&)*`nn~$Lf{0
z19_R+rA;TUa|xqfjpZ?OI&CI-o4Ij};+31Y%0b8r7p0^=4J916G*5-DdO)f}nE=+3
z4WAr5bs(&zO@(6Z);;zEE~ypo%%EtP1dEp!69Zic3KaLs;c~}OPUzGmf1FEl)sy{O
zKhxX8`cK8d96?FxUiy!MxrJhM``T75FR8UM92knz>KCm9ZDe)OjbEWp?}#2p$GyU<
zoWP2sj8pwUT0iT#Pkttv5k5*i;QZ;Uk4b!!{3h8<^V5|eGAY8Kha^ntL_WSMQn=S{
zDAkt4Bh$Fbg6o0$7I0D>950i;Mzzw7ab|HkcV~cZ?ISd}>_ft5*TQ5urN!AB#}o!g
zvJcNQ$>oxR8IDp?l(7a(DK;YZd5;do_yz9vb|vvxpvs}#bc7EI$#u1&N5E9(tt|vr
zj&RFW;bcUYgk-raq>DPiL2>UmlK_kVald5~UmQP7Cj%kU$c|H>+{;r`f7oqy53icj
zSujbEixO31)+ClgKxd&zh1;Y_TZ8ap^0nbKhpWBh)<~_PvN}DUC7}q1bSp_i{*W^F
zT0SPJ0!1NdeddXZDvpI&8UI@+97pbk_Z3QJdNC-lRfBe4ry1(SRxC)(PYC9^eK98L
zRU{Nk(|6R8#2`3!*Q77h?i?AjyYZIk)Eh6kRN1CrGoqT2>WKWuZ*>qRqfzJFuQ9_$
zyGcM2fmMc`@Vffr8QPwW!d|Kbnrv(E)#3~<CK7ggvJ?oXm%@|FKT_tMFdmJlN?QCt
zTe*k0la}2cN56<+W&;v|&js=`pdCFa&<-n_7f`G3KCca%pE_6BC_K2wGcJAQTE((a
z7iwZ#w%}!0op-O4{7mdd8*{R9|LkFNi6O!xVfpQ2-2pX~CI8@K3>BfD;RA>LR2W2*
z15^4W4@aE*no+JaQD`hrIbQD@P0>1G5^Gv7HjEBE;a-F<`Gle=b3bwA*qCA@mD@)9
zaa=z5xQDGUuw+sP^SEtL_2uW~D4$QeCa8sJl{av7y8G;_F&5|}kFq0wvQbubBB(K6
z#$_t_O|MKShD)*FP+>imHPF&S3Bp=6MNSy<*ZHQw>8&V>;%T!L5x)aMpsmWN)wDPG
zn<zMJR4MXC*`85ou+fYUDNRw|nXRSnVeQ{bc(2J^a8WGxg#XCs#Va+=A~=({R~1P!
zk{8brw2{2qI6_^WoQ|m`E<~Q-XuO4C$0KZx(m?ltq=l^7diI<)vOp~}?Exz@?af#B
zl)K49lwi%)kw@?#l+R<=OnM}cV`ghex?JmO?A=9iR2W;2)FS$lz!8f~e1r|90mP{x
zR|Q#&o^8Eeqg@geb|5CJoV~FePZxZS_<pnt$C>)wOY%fV>??{K#t;+ge9U=9s?H{*
ztY^X&m=;kc8wx3d7}T7$D-gE?8TBXRL0IIsmD5ZcTg_=%&2{&kWok5wFiObKrp`_|
zOEc|<P1C2<X7mO$<@us@`(j{l0~S?kdnCgXkmR>?wo_Rwb5|kr4B6zvHDU6BeeSE6
z%xoXHhw|uH6@n2fD+`N>gVcG(j)=a1GNiyRRHy^CA~2C*1JP)Lh%I!smVkUTsxIj(
zs=0oBzLBgd`TK!qp21wTXfk&Qr&Z7dvbGYgVRwpxe?-(q4Y^IB^9wPwu#!?4%;GBY
z%4+}g3eMeV50Y9%B^$%^<ZDr^B7VMaALSk^M(OS_v|>gGR#k~l?)bxFR9xkB)3All
z&tNhG-Pl;{;>7k622o2V9;wJR&wuCIlKS04=F0C>T6g78N)ez(pxUjgS&vCW(^~wH
zP(|3?lHE=qMAnY=qQ8Rb2gcGUi#NtSUx}*7KIR2M>m-8L2GykBp{GuU^%biX(-q&?
zzh{+-()CtwtOus|%WHJ%ZgD*DFJty|q7>JTV12G|QY#hpO5mZ3nES)J3JA<0I1~pj
zKo;gu_eNDR`Xjv|BKow3d14WZqLA|q%<~)53%>n^dpmC7^Hz)Kuz_mD2a<uo&*2+^
zw9lQAJU$J|9{b1X>k}rMs7kWa9~Essg#DVUk-)IqpcCGZRs4Yv{RY+UcdXds$|pne
zWJ$f{yBVbI8++dCtWokCdLydlg`Cnd`~g-Bz4v0!Th3zNOGb~Z=)c0^8~%*Y$B;Jb
z)mCaN`yEf1>a88e$itV*6F*iM1tUj|F&g6Ih6R6E!=|%zFnhk*oM88-X|09I{PEjm
z?MG|{j6|L5w&E_;&Fm8O;TqPIio<N-^rfMP^1c1a@$@zd*=}|P0<sYFz$fF`kqM&1
z+VdYYOsn)c`tJhg1UR_1xbE+rf_(W91@1dfgL(4C_{TiCJK|k$;cwY!t!H-+X_(^%
zs>eD`|0c5kdSWQQZWZz2er%VEg@ZI9zFpE&Qh`Jf0#mvUYX7U%(h+qm*uWcNX?6F^
zyMwo??kS-0V)xa(kk)4EgcOj|>GLujPK~4ui+$V+;n#aKt{_=<_daj7<^iSmh1645
zCF$qpeP#F_h#@(tgNT^Q5_-%9{*j|N?b+?yV!udH1&y*RtBY+h2@-Qc7#B{jO@#_=
zsK!&j`Z%^aR<<4&&7gkg)cS1FFFJrFZImrKE^<OCtS7Q;DH4&9-TroM50mw$<2>t^
z)5M$yM1iR_q=0tACnWgQem7_BbG+XlS)w!k+8K^hzdR-bliVa#yk$^0DJ{ItCw=m`
zEg!WV#HX{K=f?_=LFhgb1417@!-r!7W{@OMHzGk<Ckj*D^TFak`t|GkTrx5fpv5|Y
zz+}vbmn58~fW8E!nEo(hZsVcSGx;q3>a0qtAHi*jofNM}rkiomwfHJkdf(1eb?Tfr
zW!6UelETO+((KW`XnYxL{prsA=j9pf|MTU)`&6Zyp~-IQ;&rYmC!Wx&sA3pF-b3)W
zQ~mH!1#7JY{k}wmO66tUt>v=-6|MqH-Q;MuPns(g22QEaR0b#eiP7oA1k;0AfxB6v
zw9bS~R$Q=^Xs&cAort|Xay2ZRYTs>p5!c_Qhbb7FUHM%<B;R@NkMA-2_>auO-(Go4
zF9?~hQd6(YrX^ZA{}GxzTF7$lkKfmy@Sk(KF5}SoOum~L$!y)}_gk)XH~)5V_OOid
zcl0CJNM1<@T%;uqMCkluUVNW|QlZM)aWevdOz&;mMv$>OU10mg;+5QkFSITmjh}Mv
z2upy@B^lw!cm(1`4s~_J@%$+A-+ah16GJ}qL9NvK$&-Yi#ta)hhOVLRceJ#bd)!Bt
z27&ZtYtvRgtT0a&qt>nb-A6c0)yxI1YLT>REJp#q_G#L)BohtpI_kj2+;BfcmPJ$7
z#Tlx{s*t)~-zRue!PK)d_c&y9#nb2@1ImuWN{@Wk=^0L3)4Cr@G#-t!cC1$^X8wI6
zBVf>AlWjf@Z&rz6WEufXN1|Etz!+|i=K7Eo`hSQDCnHEXfg~m7_=}ur$y`5|(0T!w
zMfX_=o+2Y6vJpIb>Yx<3J@0F&>7kn~D5EUAx&bz_DBqU0SF4Fi;kOzgbI{xhH=8Ab
zhme<iTW#GcTd;J*SU@=wf;p>sT&gLfI7J}SkmxYE!$`~2NMe3W`2>?HK&VZoNhO(<
zh*jgTtJU!FNOTi+_t8N!Th?@=Tdwbvh_hP`56BdgmhDscqK&z^V7^e5RPP@oWMp_{
z*z_&NQG8wH?Gd$e*L~~#mnHO;Xkm{m{G;Y;0&^J{{r(hC9HM}9lqA2#zJu<bPf}v4
z`UoeFl>!x7W)&z4utU$LiL@C=5_2i>p%SH3yNm<_3%V{k8?00`JGIlFwbjx4jTgNe
zmENI+Iea8HmS=`f#|d9UG*x~N3K#TAlO2&i=&PXrpqud-->I`tk&GlZs^Tu0hlZF6
zeM5mYF35N$HV{3*Vo&m-t~grGw5qBwDfg=x>chJ1T`++oi*HS4{(8wEo_nfa1i!v%
z7;jTs|7+g(n@j#RZS~_ylFEjLzqdf4#P!cdQhgvn{B!TK&+KdCOO5JJfYYL-q0tnV
z6Xo0V(pg>}$@W4J3L@FuWxQoQ@~a>=YL)S#Cp=URMRA>@NO7GakME55q#aHaG*;kG
zSd{^C-qIkc0J0l1SZ*tw*YyLmE|VpF8_6;cO@>=IyX$X36vI?$lvDhk0f^>hi}`GW
zELNe^GvUXbfn^`TuL+%)&pXz7W4`-HUw&m;U2lBy!z8Fvi&ETYd*tY2LT{nQ+x;)^
zsJ=k~;SeyLY|6@>6QCq8(GzM}0dCR9j~`VfXX_b{6112jST<DdGQ*x~iuL66t#?ct
zk5y1`08(OjsgdrT7uz5eTB!m;!e9<Y^Pet1U>%MHRU}m)sojy)Hk-ok0ylZLm1$bH
zb0N9==_R(o;K6hyk(_MS=c``_4qm@O)j}E+kRTau7F=q-nLg!|a$gd4ccKQN*<yv5
z)isbC1W8EAFw>87M(dF%;yhS+nF{MC<1)1uzu3UrUj`PQeoSWrtb@IDiWnKp+0cj7
zF*GlD-k~5mu+XNjG!uFpu68pX-79=~#B_8M=gmXsKp-n~!ryb>bsmB|Q)kr+_;3*!
z59>wjN3sC3x)QKHL0UNr<mf?>NGvVvjUeEaA*16ZfH?F}1{cVns~GOm6(hXAK3nuZ
z-VCEpL*h<300?a<<n|iQ$fH|^0iXN<(t2SNLn*ir4yxSF;^2^wQ!&SCU|G*WdjB-r
zmmBzdz>zZivNjn<!UbYHZDwuW??Hw<^etdYfc)L$Q4}^A;PVr{1{{aG;t|g{(m=o#
zMSqiO1jtNatA)MsSm^`_pHEZCGeSh6*^Mr9Jo|wF9?imGMA>X0@{I218<a_uV@K?%
zU23ee<U6HV6hl%B7EG~(PSkT1RPz|~6-Bua-8WoI3pS1lZ6w4G(MyFg9$D+I!-B>*
zDePEiH1t5G=~)CCE?_HQYZ%4}ZL>6yW>RJg*fAy^cQZ{Bzl0yMj%D$0fE>;>9SN^R
zo&@u}%}WhHHWX6+>>Wif^Um*kCXcx|_sZxUb;tL|0?DX`4dIC`;DUTT54ky^8~u_}
zh$1EDq$kdm!$?RS6>$~LY4{qWLw_fl`b;z}Ep4IMC5AS^zSmC+=!c*DH%_>H7DxsO
z_Z5H?d}y^M&AXuN<z+Iv^9a|ICS$e=9y&4a$YJ5CN3}^>Y>m}HS7&*8R>Xk42m@pl
zWSTyx6r5K26VoCfH<95ur$W0^VDvKEEX!R7eHas|oS96a4w#0J-~DwtmMI&(SA;&4
zxK<*&Q|0(-<SG>NP(a+<1t}W9#2p=t4iH9?mQR=P+a=Dy@>mB&Diqjs%I`oL(h-z1
zO!u)X#Ro9bs+Fcs66`-Ia{<}XNevf3R((bG!JygMfSB0V@Fhi~c$e?DwB7r4DG0bT
zkAq8=i?OQ;j}8;Vhe`3Ju0iQj7Swg$W?1oR91w{S8epSLhDcy{&;rWV#M*j9R8|Y`
z)w!z$psEn6)0)s2u0cc9FCE2@&eSE(OqJFvy?~jq0YntBVN`u)6rE}PX4Bi7lzzIg
zm<hlPnHPsk4~&tqwgdW~jp!PF+Qu(z(tAaG%iqmDYRKQl)(CkYjw`qye^M&9N+(dK
zwdZ#A12s|~W}^s(%el3F!-pZaGI=|P^xIT{zwvuH^Zh{T+m*n&Utw(nzg53d*YSM?
zFEC?GYyp%~tYPv5<A2rH5LE)+1G|rH33{~(D0h=}vdM9BEn@MpkD_tgzqQ}!1SevF
z2?XnvA)ean49FnsNKu+~k7$E1xi5}|u78<O{78Y>49?f*l@k`klSFM2tJ~^oH1CU{
zyXGA=DnNeUY+pNYMz6`J1Lr~GXUf+d(lTbkr+#kgF~iK1<c%0-bt9>UfrKJqiTce0
zao1@Y+f>iN5q_G`3OL@~cthxUI!VTa+M)Tze$UX~+A6_UMO+9;1jjA?$w*7F*LwDQ
zEapGzqD0WLz;?#k$ao%2ra%c2Qg4YHB4cHYx!I5|?=+6N4^zSBhCK>6=KT%FK#9-d
zu(@x~+As6*qPh@NGk5y#ay)Ao8jFk)FuH(_4J=2;odHH}@d4*k@d-<<%oCP8rnQXT
zH(cda-H?c{0AgrLYl*#xXi9WgDm$2zm1VZT&{tZILKrwNB~J%jCJMR$4h{@B64GV9
zUQo#3j?qXwZ)a>d>&^4|wTT}SYwjIK%6QLL;U9Tq*w{SFH<q~2OYWf16BA<_K#9pM
zWed<vBfTq4`2Z-A$?){6PU>9mp%42;C$~a-gu*vgJ0Z94BDr4Ftsy6kYYk_^rILIY
zSkyBk8)iwv%;(>3r$pYwHk}E*M(LMKc(s=sX)tUM^$m#^vtEsoj`$ajIPy+U+YZ{B
zdlXFSv5{GiCX46<?`TpGLALhfdm*?g{cqIg53Qul-n4cnY!JXT&WcNKKU!J!IO|vG
z!!)SB#pWvyikCnxP<&<|VZOi(GGF|3hhmk5m>UW@aRFAiG&2%?=P>c5NbEx4uXV{x
zNM%v{eKhG^qWRcmuqV<@ayYm;s+6^iS|K#0M-(H*ofexY>30<lwy!m5llvEwG5csV
z%|ARlYyt>ur$^2!kHuv@1CsE(s5#K)hi8X+{gA8>sjWqKoM2U6!(CF?N(Gp0WOp&9
zJOQh53_OiU(~>WQ#EHK_%09D*8`x}6k;H)*iP_Xm@UTGoYOgU;W5bM3MF1wIK`nhM
zCLQV0Evm8x^yrl0_2o~@(!)WfWJq-~GGgS{6D;YT@=-upSDBC|DH-3M-6#`Fg$k>8
zv@8d3J$z;O`pFdK6?OL~QMPqD0d7MbpR&hC9rRQCA~uE3vnbge?nqmqh{&GvJ6O1W
zTwDxMZRj}YyhyA*H564;zYKK}p1q$q!{{=rF}c6D{57gD@EB91x1n2ZP#j~Ot6!O0
z?n<=r!E@<TnV$1vQRjY1m1t8+KW?NE#-!6Yc>EaxprGf#z=cpe%O&ajj`jxMu-8Z;
z3SDxvvu~hw9}0;z#&2H!Uem%pu3x0u>gKmE_X}APYo*YHi3MoC1pWF_u2tBdr9!C^
z96nxoTvk7xYDo7+ie661SHcfH2Sw-to$6wR46%&b-n^teWi?T~rzP^Ya44wSfY8I>
z*oaAzSka-zSJb&?u2SqYz)#;qanU$dptmf?jDr#_QFVJMjiM--@t5dy++2QV5cNGI
zm=pWJ{VUf>-o`<Op3OB`H$l^gu|(=*L~ul5KXJ7R*}dl_<1an0M3RMNAfF09o&pN9
zyoUKbf5op^f)03S9iev2f&~P!Lp2ufO}=@SVGa-EcOBuV!h@a~uD=IF5!DWnWhj&N
zO{s|vvxWXzqQUyBJ@7XU?rFg|s){2*ZMNdtl9DqyFqtss+vqoR`JXW81Oe6#n#a-?
z_{*2`Z(2ioFsjd9U_!gHpNLSNKr*$@C-i0#Q5`)T?U#ItO56$Q6Q>A=LSuS~p0>$r
z8~?1Rcr(CK58w+Zg(1+$6I%kD_a7FIuCBPa+ldgHMBGz0Ol`E%q3f#UR@QuLMettQ
zWKY?30_92i7GW|Xn1kSI{bU{oHp(LIYrUUUR8A<=7xiID`S0s|<oeqXc?6YWdc$x~
zRh{JF2?j$c`S0<nxyw8qbF&LVP)bPU^J8h%vh_ymud6tGq;Xb*TRhj~k#@t;`2B(k
z+7H<}&3HCBS&enweFjC|@4jL#a3Pa-r^P5|rY#_c3tRtSBTW9bCI*WsOu%?=88VkT
zP^hOy^=Y)wH&*2)YD1XKa-L8Bj<pv#VIo9C-0Fp<Cn(3?cb|wj*^_cAx9F7KCVZjI
zhs{g;+)>)rEK*4n|Gjist#ybvy{Ol)^4Fw|!vWl?fT;Vv{sV>9S!;%_fz&iR%=gf=
z7tVWezH$SWvjH=KHe!ToJX~*rzgfsBk26b$6XKfC<2**lSZr!r-03h*yY-d2y-dAe
zf%S;7Y5d!l?cWRvABj}NLyQtO=k3FLdJ~9>01%Gi>ip8Be?QzJFcYwxu)+i-r=PY)
zIpFi-R1XS`x{Ve3q(X19$VUiZfKbfwiU9!ch#ocqSP-6h4Jept9sTyyB<QOy8XGgU
zru_4xN<t4A8WB0G-i?xgB*oTI(E$xlYU=w`<~_<^WpLfiq@aiNBGu76+XdzLGQauI
z(~WgnV_r_=(GTp-)(p1<m(P^P-Id)01}|8?J#w17Eze~E)XLujTt;I6Ut=2g1<7<{
zwQ{dW!v+eCTjOGHlK=U)0O%qqzfbDB=%Cs0%vgJwhKlV#S71}oY@esJWPXUUN#nF4
zQX6?=Qc16#|5nW2u#-KsEew2m1ByW;uG|mz9-jSfvnIm<H0sD(rb6mesC4Mp5TsHQ
zns0(XwB8x6w;@vh@gR%Y`T>a?)O$p-yIxU0WFC=ZenCKDw4^3qw28KezYLWMIL+d-
z3Xhv54L8lD1I^ljCDKJLMCF=g>Y*<;`E-P|cWm>0y&rEtjDJuTqeUzP3s4{Vb;LS?
zkuJwkx#(U7&Z$Y(k4N2KXFNjcCD9(n&V=#uy{qUhKpT0q(}g4*ccRhX%Z#M=N}~<v
zh|k=(l1*ND*mrI`D}k_#GAjk21&vfCsFv;@me4&0e7q<vm7Jv4lb$TJ{h%xcvG^_A
zm5GoyOIu}~;3+KE11a2tZz_!+fB}MNF}lRXmee%7%zESXsAAn!zL+*7L0O}(+65fs
z?lpBehmKb1?MN-=N82BmdpRB@GeV@^cB9ySKz}~cWbK_WB1GeE&ZEMZL;qqt+H~^m
z@!@QT|H<a2?V^d$=ae+4Xn&NFO5X-CYzH~#Vos9R<EEtR=F$aB_x!Qm14(LRkZ3ru
zL1D{;932#eB&9)@T7TRQvWNkISb9kvVLRbAMyCeSa|4mog6&A(^%Zjmn?pZ1XRjiw
z*}wL+?^m_yeT$-EddEKl*sXo^1zuqrC>H)e#enao&}*xpwoc)dd*Y$0v~@b3yhEK{
z>%Z@4@50W)!cxGm(R^?(6RN4=`chC#IZjGFwroMqAavNREx?qy0PTfNP?G4vd8*?~
zkEZsV#!t`O6GeX@LoRH-P;ye!AsdCIE-njQ(1zHnl$EO!I7lc(Ym7|kzOSpsSiJMv
z!nmq278KB7F@k1rHyHdRY;4n|K>c^!$i>9-!W&SbH4ptcE|O;BouE&Y3E}UlG28~}
zXaZRI1Yg;B)OW=a#2PJ2j&AMpao9-{g*l=JCjS^kwhRc|D665}v$0P=B5YzyS9NNw
zG<ai1Q5`MCjpiCPyH*SeD-Mb3LR|zwKz-R6q-i%?j_(%&H-~@h+YwG?zv2r9g=kAH
zg`He#CZ#2yKQ2x~IDvbe)-Fw!y_hGnzOK3x0i!VQ)-b0Nw!SI93;Fp`8@>73_qYbI
z%RwbA>v5*r?+H@wPdqg~jd^ZAOaLFj-RGtzo++P}NU+vl(C?=tTw&oZ?&dsiBCl9V
zYADZa!Ffq-LsY+*cdHuv=ehRq?DhcKbp|&yE<r!@@E>5?h(FyQNpb)+kn{0tc*pGg
zPcDwP0J(Pp%gyiGC%c>97dp=DRkj)M_z|F}_*0>jto9ZsU=SSmgPuR59sU_jj<JBn
zg7awS5Q%{Y?;U=}{Jjg+Kvs}6tREejo*|D-kNopaBpqgBz&p}EtpUJhLwX5RjewFl
z?_q3)?vX>-lUR~nfM~BT09g@`iu3a3&EKDlNwh`G;~1lV2hf7>yd#S#Nyg!o`}6h<
zlLq@b0li1aa6(4P=2)U5jw29_yT>z-NLBs>moa*#i*exj^TxW{($*pVQZ5ipeMCQH
zd>1DD{xGkNA^-$CfMa9SV2k;X4HO|&YZuD{2NK|NPzlPwGj&&M0NiRpyP?SV`rRAg
zq<JdXl4Z0n6+HAj`||GT{~_rt1FCAeC=3V)B3&ZgB_IvbEiK($(sAiVR6t4TmhSHE
z?(S}o?*4}N`wutHJu|cS+G{-rV(hfh9b!3C+~o~IpCGDa_bs~q=wFpkaXRU#Yf~EM
z?@re91Wu)y)zKaq=Ks`L=&vv8?5(J_WaF2+#nCho+lE7qM)x73{2W2voR@GM_~J8W
z-3If)#roMc>R--#>U^HPVGOVUG9q@fbiY2c^uMbpc`Z`fR$2_4(ZJ11V+O>7HI!m-
zlaM_HriH--yziMt+;;2cGwKeeapQK_Ty0<Z28V>hq}vGEFF@D;EponunV6t@xGP8+
zh>IZKu&v8z2bc{f;q73I3|cPBEZIp69sJ)xV!@>a?j}>~_P?D*v;*I!BQa1fwl)x8
z1}6g-*wt~7-caJRTV&eqW+&Q^L5338K>~GM)A5l!mF-AXque;{BQeH1ORqPs>(ql1
zgE?TB!?~aGYZr24AkKBl24lLIA3OtMqy+TOd&b$t;zQuKWaq&wGy)6&yZuR89{j56
zBFiUtwE=2zbp7H{R_*LrawQ#J?}wXza}_EHIh`)Z(@u?2r$5&Jl9|NqQn+9J3kp*%
zJ^MrKfuNrf+$1L%X7~;$e$2eJV@LCW=;U0a_v6w`Vhw4#W4K<7?z8njSdL`BuPZN>
zP7KMDCjk$6aK$fhzO>#Xg@+4%+Y2?6(4q1IB#4g^87F1<(kP)4i>wm>kwGT*D;#)b
znff0e4H9Xma&9Iebu8HS%j;6a=`sp%OQ%5osslul-hT@<OeVb)R1C^s6h&Fv7Zvtj
zR>vLaeS2f!mFTdp$H4^Le?;yw#6v#WuYZrAv-!~Bp}-$X(rOi0tK;v)X*DY-nN9l|
zRYmKiz!&H<ZgB$klUfnD4L{`RF#fyV=e+bj_6{&Z`SCun?%nKbRHC=C&4?F*Fy${n
zFHo?ml^aXaeD{{Zo_`OTb*7ew_NQZD*35;`*!2W}nFpr`k{h@oAsi-e8YS<!a+9Y<
zxWP2{R!{PH)BX2pOeU~?Ttcmb97(73KnFD15;z5mI#=W6#?V^-fvZb`!U{ut4`&Lu
zFke-j)~n|<eTE(|Ik@`<{(x@pX9v&LoI}@CawnMM+@chXtRczAgO4!oqy6IKi)o?r
znaGyK>WC%^kv$(5Ie5=vi~y$$YhG<BBCvIlI=+_6;`~p2Yy35P(u4{<7D=idekHrh
zk+!S9ThjH^gmOz>v_-r=+>1p)=?u;fAZNfW><Zi!-DPK~-@#Tj`GGWDp@O=Nuk@b~
z>ETpB>!+l*6*=aXS`m-aKHVRkpGQ&!d;n5omcry3Q|0Xs+Nov?44jGgRLov|V6y9X
zsCncL4CH?O)V*+sWRE8=W1HxBJ`d+mzCWte#8ax~fjPN}-%Ayoq@!rkIP7lwf;6Kg
zvEB|-uI0Ip@Lk(&K?w*voOA$zBQNKS;lErJ5x6Ja*(j3fU>2D}bj6snrtEW{yKwbn
zs$!6k0A{FNs4OLm=cslAXq!EqQ+Z0%{*ys6*^Mj8ZmK$qUqYX?L6R4+b_!U6AVS}G
zKHZALDaU)>-;V{jN(mCk26Q;*hOXS9ZBm=my5M1w_b-CD0|y9=6mkC_0P|NukRpW$
zSu#KnDzy#>*YUUnr*S9g<Zr2;cx^$@6v)LQlMXxNV>^r7j5v^~Y*~D=8%R7ABA<CS
z6RANJstdQJJYsCunvb&_H^y(cP!U9s2|rw@X#wgk*H-=4F)}G{5IXKWSa0_zQiVlC
zQCaP)f$YdRo1TU=fPUx|2B~X5NXiUkytsVmV36Ee4gb*ocWplN#=n9`U%jK>!s<*6
z<)gHE^KR$M-pMk@=Qh5sw|fxqQ=OI7p3Hn3`Rh?nnglBfOu;LizFp)Yf_eYa_oWSO
zJ5X}GPNXMN{`7tK-U#8WZ9t6W;?TNXW!B6PM-COTYyEa!1Um4ZOWA^S%8LrIR8_bO
z?o4L9@?<Gb%?sg5Hb(rZ-CazVB`4frW~=J*)B(+3_`;X+lne;!fnb`1)K(c8^@qXp
zcV`8rvwY1|jy&;OJbAuLtc60)S=Ym*2F~u^pn`QT)=N7I82!}IjE^gpi)<Pl#2+Am
z#pF>GOwld|m6j2}R=EFSEkvu{1r>xnAC&4>N_rKiQ1ZV>>EHJ_6+6-knS#Rzi%L1j
zaDtk#z3|3!z2Z(we{B$NoYQp5zZ@#~-zeQS9l%zi!7teRNq%u<-zjK^YuNN%sps?$
zX|#$(Ae&#9k+)~9TDgf_)uDYb9BXU-miP0E0TAiaD6*xMb(Sw~#MX91QEU(DoenS_
zzWp@;aXBO*S)w{*=t*|Q>rI3oVF_Jlv9j{gQQY;xf6d%lp%GG5Jx5!8drUG6KzoM;
zqEz}A;Etw(c64(BnQ-F2x#c^TaE%&XC<7E`7=V#Oy<86a2hQ@Fk_?EUjFtdJqXDGZ
z>=%R$^vVq31jZg_>wfRMBG~^I`AQD}t^BS5eH0wD8Tv^*|MhWvXRjTF%mBznmlm!n
zgJf_I6&v?M@k`JSVHlj$cNcpg-bXd$hrTsJq#>dx{a>Q7=S8czK|^@;O)v@#ypCBf
ze=OiKtSaF$(-NE#4+8zv{M$Vc`L6#pS6R*dQ3~G=WV#mhLn6lFspM110){v`(v|;m
zlz=l5;c7!fxF(Ahhyjxn&`O0(xy}*Jo;k8c3r7zkXA|!XpRwer9wxYL1D{FwDG59_
zy#YUoMd9aY6^*AS0(L>ymPpe?zV!duQy{>KF;XQ$9*hVxCIZC(cU`(W7RF&Baz{Y@
zf>)BJVYzybfr$y0{JM6lHaJwd7Dl|FI&C|Bd(g#fNaA?iSaQgK=Dd_H_8W}L#2QeA
z_5S<LFZz@jX`HYW+Q}Oj-I<->yAgZe)LbJ_)*0z@O$-dB(EY)ynZ@Y;u7pAZ0Wr1r
zS9Ku6ocaerR0_kp8ch5wK6LS$ttD+|Qu|_xcM2ykOTLMc`N<P1sh+8n2R=5FN}v^e
zYlFYmIHFvhjZ96E4ig6js2g(KbW)K<>H|F%L4YPmEM0B5_FGUx91!nw#Y#xNqjCzN
zcXsuvq?wLhJL<41<$%r@OiyeVs*7^aOZ{$3TAth|a}@~6Lkk%|fv@pfaX<x7D=I9w
zWPVZ_kq6!&^3N=&cWHeXTO&$-Nj9<oS3)pWa15Hgg=nb^dQ}SAogA}%`O?V+cVvj9
z6CaGJBivEfdr$xYPFQqDdP-p?J1l^2^zh+;FdLUWq;e2Ad%I~0e`c1Fpe-Q8c@9CU
zNY)M_T+3<E4O2)?1F23y<jF2kF3_-zC>~Vq(->rJT*1!#1~Xi5|6Y-1EUB{X;-97d
z7Vi+Acnd>A18XO)(e~82^3g~5Y>XW0znL#q8H<^zZ)Wk!AUY6g2CAHv6hoeA>%yFZ
zD26+#4orC^vIjM|)R!r@z=E0GAxQMNak4M`j!A(I@r_2Y?J^mNu^;6!Btw9svhSQ)
z(m=Ng3Y#cUV`A+mFmt!VX7?}RX+tlDg_b}QoL(#5sO^LR9oR-$lJ}cVqQZ8#6FAK~
z<j3CDG=3p#o*j~Dh?%53n+NqSh#%-9vfl@R7_-3kvt@*2$D{!acXykL8oK4{(_bwa
z{=7GwA?gO)q51iS1b4Wl)B!vebrqp@yjN`0MF=ouAyA1L1!^VES0;UzVgyC50Gp-_
z=LE8Hhy+5ls%CYc>{bQAa3tKrboQi@zlVLR(-3l%Wd-j!XUp!Nl2;FW`wJCjVYC?8
z^cf@QLSt-rzY*=etu5HL5PovZ?Q-m(=-K@!ZlL;S9jrjKmm&_@UI=>K0YU&POQ#4O
z6c9~|F>-KURO}HO!2Zmu6X!b!rd%%7NFcIhpT^H=*ck{aqL&5&L~<R_h(W5{AspIV
z6D^PuHqdVsT&T4-&LE@wiyo%o6VD>q>H4}if*G|&VYM!3hd{yqX@Lh<ss=bB)wu0S
zl?@@CLZ0tH7G4NG(_Dxo22G!7#6GC!4bCy6TH0MdeF+*HN=_`uZ`!@C_iqg9#Jo@P
zpBPz?g<Lp*R%7@I+H2T){16O@w+nGfTNfttlxB)`4zNUnQH(Z~55|j0(2NjjMc3;r
zB)%o94hQD?iLY}ve8Uc+zS9owBe<_u0&~9N$IuTa87kWKL;Rd3{ZW~j6z;Ly5Yy&4
zCqlNb;VQ|<zfk~N0bI1HKVYIvg7y}=5x16e7o6{is;xggYb1G(ICs(^$}(g@?f7b`
zCE9i4@B|NuaRNU4_Ks6ST~G2G6cQJ8TzI>=j*(yA52u(rBsy-qg-tBdW@}$j0Vsip
zClH0z1yL8}QB=t&duGf73JPmC8iY<-m<L(e1h&4m;RdO7AUTF?oP%wENwbn><*QRt
z$m%+=#0h%P>wh3!&2nv+IR+x)h7t1sIj8h!AMI#l{RRt__XMhE`!_BVKWJP4>J5F#
z*E8|d5BY_zQKw@rhZblJ=o$cTQ|`ZWr$c#KyAeQn08ki`Y+pz90SD*#cEraSL}#21
zR1<TcsYkf<>0hQ?iPX9>>^;QiFHD^Mf|5^D^lFlvjAosLu7h#R+UXL?yzRHuwkt$a
z{obBmBkT<vliuT+tG%EHUL4_iIMh%{`^g0qL}{yacLcNnwH-CzSIxk_IS-P&061dF
z%Kw?SxTj0}E2P23a`<3JYoZo;)OBNL&McJys7D~ES3A`G)ZD<JD;b1AiG?7QT0xAa
z*$D}4Xa}kE?av3}xi7m9K<Kc;g9}*Jl2bgsQ+agIr32c}Do+m#*J1QyB?_Xizkwlu
z7Pq2k^=4!qAr+CA`rmOTPZmB`E?mK*FU>QyxF}(7X)5#!Ho+Pe0|O%p>;#E6T5WV_
zwdLOq5hS3-D2QIO5E!(og#6;)$zMC6U<DA9jq)*oty}Rv0+k+4iKyRdl&=xiJ0$VW
zr?PMyP)!T{1<r%cbj+X}<eFvv9FzG-eJs1BgZZigzM;BCY``Sq7hKi{;GX3UyqIK!
z#5t!5ui+;+`Wx0a!9RvFNQM9|<|kAQ>&AOaA2u=<Dc+oF@^IJtt3&ed9*wds`j40O
z{M1j7Hu32r&*9=4i>Y6#L7$Da7LKB999O{Wq+5fZ6jXfW$e!k((E`n2Unb9#r$14N
zZSYZ!qFk?j^FT?ggGsJDMT+;4+avGy#g%+wS?Y<T>`nRKnDW<4E~(bdj^O3q`X?i)
z{+}JhJ+Z&J;#)~5|8m(0m7HxF>y_5${^_PuECWAAgsVfg$}{JV(|yt|<ZjH7E5vuB
z8(TRZ$no<K+wVM0{&?^UumoKG9C7}QG!T?$=+Ec&KLLj5p=>5sp@S%BN6u?_c#A$q
zLx=|;B?TTYB55G}K6dFNw*VzKMCSX9Lz)0|m&FDb+jiarO5E~h@H>7WUrj$0cwJ5M
zcK9y?KZG<Vh!+bsJ<ylxl*oOTG-*G5c6_BqxFQE<ii(WH#=q8|p7NCI?gUsje~)Ol
z8eo8o!G}NQZ=i?OFpvXh6Bk{3RrN1ai*2TN5K7J8bgo9XVJf%bd~ef`tAG!XN<n~e
zCizQ2wEf9OCN#ejvJ)y=SwmjhM;p|WJo%ZId+5EDoQF<o<T)DnW!5~`Q=2ZvrR8}~
zVO?|$1VNW73X})1+v?Rhm>jjQkNlxbcEgEwtQgW6;p#xBMZ#rNZ-3{^KWenp;{E8J
z<ivFW<sP?%Ld^eR0l8a3RO$_k!b_|l)W|Q$tFcH|3pmRl{W3J<tPzbaY>Z>DthMvA
z!7zXVcq-PmwIf{fP~vAsM6|7^2&AxSX@Q*x{NzR|?fx$+Oy?w*+gYZ{LWB$y4yCE<
zZ*d)@I^okUl%9|oAm<cn)i7S$>Awnu9}!jpHBzB4i4?|&aGRluJT@T`o)X4OCeKQU
z<kY5i?I$2mY7AH-SU7%<%ibL#?XSH;Z=U=>eZu6(5Rit4>BY##&-~;F*3IlPu*z&y
zd%vI%teSamHzRF~WNuy<e#c~^Wkx-WpiA5xZBx<tEGcO)u?o_L#p`q|ro2TXKy0%7
zH(U1ADdKYJRI~W}trI~+tsx2j<IcK8U{(d#xBrr^$_1H?xFI0JO2Ue?9y~$PN8s@1
zYI|LBTt1FUEC_KiimQEkX_lUep<VVN`{QC^M+#3qzD<wPFYH;pB*?McUiaVLZ|uWn
z*^YW>f$%WJ(XQp+Lb~k&q=B($LbGair=9RLj_z1<?<YTQlPe`N`}c7?P<?+4_O*1O
zFov^qeVd^keqMC*ELP@66A2<L{ZI{wjft1s1t=%=9<bkez#o^QLQ|y7FIJXF8Zq>}
znSLiX#z1*rG}fh-D}fC?BUR(ufLfUJP;w+ECwH{c;`22MoP;81*`p?#d7vKZ<b_$*
zZ2Q$&;U@fxAB>yElcEt^Ki2~aRj{SSi&ZK039Ow7Fn$b@&mNI)zm!ekougI)`Nwa9
zjijrZK|3wrd^CIByZ~FswaBc1nf7FQVw0rj!w#cfvrJqMkksT*iB)SlJ4MONEaJhf
z@KU58Y+rzLz@e=h)PjlZmNCGq^M7-V11LYijt!bq+geW;`&$5TK(mUZ83L%Gr5am3
zP}yizS!6~0`Tp|R-@z15?L0j0h_25GTsIbv1U)A`Lb}Bm>Q(D+OH`4tXaskS*jSO9
zU(gg+^Onz#$39gA7_LizM1`Am2-sgtz!`-58vVEd@IYUXsn;TQ8^|Vs3w?~%ii(P$
zWSK4Cvs-NiG9e=Qp6$bgQp^jB!j%wQS6-iIFz>yR=O|gZro2lkg1~#VOPH@_Z-PVB
z8(_rd%ie#GdAKk*c(J6d{lN8P8G3fCaFhlTF*vkpMGRYgp|z3O04fVP1fYN;x8X&K
z&BT~C^KF~^3=XrbyyMoD*8qAn7xo$-*r1rFa8wL#UpxQ+deg~@5cT|Kx+VQHua8XO
z5c+*mm1{Rk6>!3**OxWqIQ`LS0cJ8z^KsbY;uW7~oh?Yiu64~)cC<neNGtpUr{ZNF
z+w;WGUDAkmL30J@H(s1m_#9R@K>Rcc0K`;_RDQ1uxX%I?qatA62a$V%c`e`$iUFV^
zU{+GhlBxotu}o_F*~?=7Akq2*V`PYkigY^i#nzPsjp(ieD9YD#`qvZ_!my>S_B>~x
z2WCsKx(y-V#+Wh&MGVl#lxLu9XG;yhTI7=dpxYRCe0O=kX|ot-a&)mbQPx`FQ47pP
zz!GJ<RIgI!1N0Y(0h!OATZ4i1vidC^OCxArYhw*+4a3d=o~%blhQ9kLW4*2FPP=r9
zZnc%0CtuI=^auO~=*}t~Gg<^5MEeq%jk<xqhGtM+mtnM%t6wE3ZoTr10!YxUE?`--
z-0jnQHD>~6Wb0cPaIP)?QX>OR)!Vl<#WR=ObGFDXo#ae<z~BW$w1a~T3&;IQ#2p5<
z3NYZ!lh_$a-QlImCkh)~`zT}(NT-xNNa(WI#&8KP*x^hGG47P*k=~ume)+-;pdqK1
z|2;|TPMi2UyJnHilzqCY={3B<qrNfc3e#2;#hsripGvfXfWhCNWN)FU2rhEFFc6FE
zL2-)LL+4J}1a5YqoI=Q*`hkX^(d5pKQw5GjL%V#PhU(_f@so=J$w`(Ec2RZUBF%*=
zzq~UMpvtBmgLb$q-sA4VJgfPmtk<u+pQAe$7b@BK&5up~ORdo-FI*v0G&}!JrGrnb
zO@ZP|`aBq8U!}jogFSGER5TTdqkL?rhj<;h1iQn3W?6$^IE@y$c<|?{KC=|JpBWfm
z&4FYSTWwn~GN~k}a4=PXE6)GH?O#3ohiy$;j0l^%w5UpwRVP>g%Q5tjXg`STw0~-{
zNo~;NQQhN;vLArzC)i;_c1~5tSKmGfpNK_`%X@QzfJrz3rbk^T?-IG}$vn#4Eo?rQ
zXw?*h=7Os!tN-om?`|r8tAEl2eUeV91MYc+pA388U{eKlJ=G#je)usotj&m*_V0(U
zKL#qXNzzx)HQA`>6{h>+I_-c>2vE`Jgkq(6+1|(??hfTScm9BTapf$dfP2l6)K**_
z<30&JDqX9)mgP0ERpuQ8^P>{>gur;t)WkdWBCzIT!rPzXb|G9y?MD^UCUT7q1)^ZJ
zT$oV2XpL7SKxrU0+jxS23Fue_UC+T4_t;Kh0%A($hNf5OqbhdEcg$vB>07sY9qRv&
z9dr3d0|5e;gq^-z$Yg<9*a_pN&;4Ny!52aSZ(iyjRYr}xl)Xq2{^0oQ;Kpc=EoI9Y
z@cbxgn3PfK92gf!9macx5c8@q4)|Q00h@)FJN-Y14y*(eDyED3TT3D;veR#2x|6A{
zFXcs%LMoY!4b)I~@^ag}g%b$P$4vlx^$`CaI58E5Pq-+4ew=2P3(wWk05F<<K7E3J
zFXN%h9@n}VBx~FK$-JZrBV4Ga@I>7gBy_zD0VcveD*8rO;8PDg+pi4MLCE<mqU}pF
z#0UeD2NrPj7)*=IRi%xfngFfun(+w{EvGamwhksa0X#QOiFQZ-qmH09(90{EfNl_}
zI^&afh(BJ~$XuEhzNXiUu8$J>CDu@M!$_yNKQenJb4r3oG}xxc3&U7SFw&<q;u+3Q
zT?DKbU`Byx{)3RVMo8F5K<#axExj&=Z~;CpFbf8Ds5QEt`udjhNilO6)Mcs=Zcs`=
zK%r~ToK3bv2d1h&t3ls+t?<@m##eN{#x{%+)kpo?$A$@0ym0IPf(080wZMA+V(7yo
zmK~4=n;y8BG4hB^=ntSId{Nw@h-#RVladBMVT|Z?y`v*kEByJT0_-#y$+n}!8zza-
z6Br54>^M9qKWGY4<YVjb?ZM5+HRbeg)*g6Zfv9#xO9H^hLahe~pm@~dynd=HB7Z3X
z$>g-G-PP9J?mX$CpApZtd{(j-Or<}18@I5(W6>R=Hl)rE5<1dp(42bMQI;4z6sCbh
zjYV;ff3?!&#hunlVCf;R)_X+<;T0Zb(ylE9zE#kg#nC{Z$cTknF%de0JC&XwZ-6Nx
zbdaxPVQ15`fP8}LSICR~wGK?_;K;4PS2w!$gXoIa>#N{tdTvFl6{b@;zIfD#U=79B
zX~PUW1T(OKtKv(>$f?}L$hA}`Af4gSE;f#Ke7q`$&i}EqDoQ=ZdBd}VQ{r*l6kChm
zIoT@q4-oYiTYOq@;{01=#??!?UiT+sYIFMlI{lqQ;`wpD<t4Ye3e~6P$GI2+Q2v~J
zf(iZ1JJU@sG`hyNe#w0K>A6v4j_JyV381(JX3@`aTAl#9J@<qF6saQd_<%K^=nEKw
z1iY@L;E4$ho%5~EV)~%~K22~c`hZf&>HKc)UTx>o7*YrgB>b05YJ=-u|5#^KWX?#c
zT(j%ZLl#o(<l0z4aozU5<BV=Hvq-{snZ0sTxmbG3pGg|5qQOj3biWFBA?UAYu;HLN
z$yZ5(T=r%9%Q}%H&6tw-e3-W$qNQV>MI8(WBqO)?-<p>UMKN1XgV!*VOy$w~`F4-Y
zGmC6De8GmO#C28nN^8R)%6gxChZB(Vi+=3Tfc)Dh<Q;j1;i#K0TH!RFA2VSf;Uph>
zz!@0!f#lnJzX^-!Lh~e@jXQ$*h3%%C>SOtN$jwDiX4K*wtBGuHcsMleg<4d&Wyu!m
z+P*-^gWFX*F)pUku+HaCkfZgzik-2mv#ow*3VGo%PmN!=y{Z(p-|Uw~Tk(1Tf*nRz
zv~>u>c3@d);fm^r*U^2Yj1{4dK!c@RW+;xI0j1V_TpM!8K4aL+?XwovxhYL6F-)1G
z%?mkd&zsm`HTkUc(PcZ`tsIL!Jj=MvDxNi)or}@p*5V}-f&ox^Vu-U`lmiA%>85t8
zj@L&^+B-c}nIKNe<^A9aTK9bAJQkoSY1!2MXpj|>fZJYe-3AzbF_eCS?mAFJqGg6i
zz+Y=AEqQ&evvb?)?kM0O?jlhu6bu!1tEl>*@KMb<!%Tolr`dsJZ}GHqli_}3P|s`C
zsz0mzM}^vlhzhBoMGc_p?v3tPInxA9a8obgz$S^bng+%0zi~cj?%cu;E1a|EHJc9p
zab{AYp8aK_9ubc<ldO>KL5@0AAR^B5VREjng)r`;rBVt(JUz~ULYZjj_>ZSw)_CjW
z>x{5m)qH25R6domN~AMj%M>UKRf1Ek0SAbK6EwZ>xM-(J<%J*j>~~7E;(607nHN#L
zvPbMP3B@RNrsd=`Gs>;tib>a_)H8_J<kyy1{5cb*&F~xq_li(%(Pwiq^pRQ`t5>r^
zdwG8AJWCq$Cfo@CfPph4(-0wGAv_8fRFJ5o`iY(7R0uuKh;n<V!@p!Dwu|^(Psg{)
zyUt>0|4>VRBSqhrmq>-2d>wxx5Ar}sHqJ>mjpzN`xDNO9%kJoTtyuVos1teqIikja
zm#}0L0DM}13a={K8Wh{(ubH-}>S2rt`gZKU*C4ZB&Fl-M<1Qp(GYL&~r+)F&o2w|Q
zY*+rqyeLpvKXu^25oOeU+PK$qd49Nmn#X=~`BjY*B0eBTL18SVmuAfWRMohjPk0|%
zvg~X%-)MbFzh$eOrEkzuq(0|63a^auP0)%Q%{oYeLb^BvTBNCSf<&j~ywgScYL#8F
zNjvS&k7w*mO}{`)xO3ADy(PM?+3eY>=bP^uiI^<e=IU939sO{gU&)R-eTH9S-us;8
zoBW(zDOO>C=Lk_3)7e%32DLVd@XHjDRxHz?<EKi2YO;V&^B)_lnQ|HfYL^%J(3yak
z-{3Z{BG#iaPpibj9x0le_(>YO&&#Oe&2?qodC!#jGmp{ItnIX|KzJ?_`4a>T9T^b7
z(?F)Bc%4aW`)zke)2y^t4cd7;Ku`KT%M;*aKT>&dm>u8>*p_Hke`&y{(<&I;>!CNR
zmZ_q{K6J1wve^1vxajaOhZ-}eQFaZqbUrEC`y%(+Bq`vcRqB-n2-}YUI~dwSCWL13
zneE}6%X|#<2Xaj*sn7RM_!hCW3N&V$ljQkzHVbJhHUF4W1O{ZCeq;Ba&q&pS`d?em
zZy7I~$jmBoMDOX~E5qxd;(D;{SWIMr-D;?6Mw_s-(fFkaTqFx;HIrL^rT?l!;>WDK
zCnUvcD`7~Wh$oU-OL#*w%Qa#Fad<4!Y{r_W^!m%X?By@^Jl()-v%xsO+C+XY_m3QZ
zlo*p6e3QfxAI?iY!z2~RrcxQX&m5Mzxwk}j`~cN+7bV{;O)c+=Q$^dBYZtr+7+iUP
zj;eM)<+BsP^m?K<d;Q_l)PnrtSh;(Q3=UW5cO>O#7Py-l(}5=iB{j}s#ayQij61l4
z_)X~sRO&+>_p8;@O`{w|xg_o|lZXma1a?t;X#dgu(L+T=M*F|Pkzd^)#=WWZN@<IT
zV&`V0QG&ID|B(=ZY7LM4p3S%y?Lo#)kJN!$t3c<t&bGT8Gj40vsH!E$4MN3MqIT39
z#M)v#Ut`=6!4dN7{$I@zpTkd|*P+RLj_U-cuz&tA8GlZV(WmiYP%kl^xfvNyds;1h
zZ}`ze_)dF{1*bQj*5_yt7LDc)=kLd*pm-cm9s||GG~3XXu#LY59(E>kz0%LIp~@>Z
zV~3^EMiCL2mRC3?rdYMuZqD#FreuZnUxrESbFKS9Gp5I%8rx+E-RZv{-|8yt)e8li
zwXp|`2NSqO?nvxYp573Idy<~YfD>-hso{!{-y6qGt@(54FG`5&2b-F)F-5EIaiDG%
z4HN_n&j4h6aTDwcTy`4y=qvVqTmxi0QZf4ct%2w)m5pBuR|NM~N7M8@VJVVw8YlOD
zAs%wp3odjX!tg2EgDG{Ib=n#g#`+<Iqu)M5`Bm&NQYFiBJAE=a9PZ?%zot&+)64&I
zCDjE{ri-U{sSZ{x#gkwYP5qtG7MfMO9-aeBklZe;oBx!|$)3Mj$da>4$tD;%pXEZx
zbqk5Gu)NmIk71CFoHs$UhHvXx3-h^!JZq&Cg?I(Xd)*(TNLFyzHx~+JJ&2t>-cOQf
z&{Bc2d|Ax*n$3P@E=r#XMq0fi#$_^JbxgxV?p1|M887AU%_qC{YMCGV*7F|OU;P%5
z3t~Cmky0}FotB$!>YaXj&Tx5Z&w7;j!*MLY4%thAsbiTbh$|7wg1NGxvgAA0Z3hh#
zg>KOGc9IG~3$Upy3i$ck4N(yWgt;#K38YXx#X<g5s9kf!UvIx-(5ZbsFV>G+MFJzu
zc7v4wie-In7}$!=-=Tzv)#SSGc#cE0-fJv>UqCpT^??a;SyfkzwD_SlNh_mljL&sZ
z`K%32OVA6>6=`we`~DKgbZBOOpX=_w4NT_h)$6~;F8!dHO9q)K<}g?$^RzEgIGm8S
zMlR=)tT&pM>~=-VIe$vkzNBR#2&-W{U~IJbqkyBXY0Jq#JKd;QgW58dE~!9e<ISOM
zZuzlm|7w}^+@RARe5T67%STo4<fe}U=^f;0|2{1()oCB%mz1b+e`2VOvdB`rMI;EP
zly0YwRKs9z&C-6O_43tdVP3)W>J}KBFF(7{dBkuzeAxJuYU(twIGs73U(~abbj4%#
z;R76db|4sN0s)kno$!^j>B<;uKqxgaU%bP^g&PWvT?O6i3@+q;#JunQI<J>CX8)Fm
z3$8B@6>6l}<q6k$Ycv^Mudy!K(53Px6DFcB|B&Xwh2`~Y-K)U8CKm9x5j`u*JYW2j
z9Ob#E-QN}U+ehqf73*Ozz5*qwb~PweeSm_ow}w5h(e$8ghF@dqw)^ao?g77idHyG_
ztn3B1JgVLx%LtiOM{#80b;`WcM?~8>P-0b33?<Wh1d;8HEsy8OCNdJ*P@EDKFlbE&
zTPG;%R=Uq5>OCwM$WjhRb^ZGu9*PK4_8Uri!ih)DY7yeF&@9@nxIGfjtyVp#fx!|*
zmykT6Aet?@Xz%DdD^4Bx95}L7@czNV1ZjI9errK2F>*x5O10qgzu`axk8U@Fhi9_F
zf8Q(&Qz306>OJkz0#BRWQ(5?-Ns@J+Wmey0y{Z2C1zN~d2Z{M}o_z=g{q(Wdb0Tus
zvI1XI#+s%fn)cow5;R#@^^&Lhr;~gJiC>!o3Ymgesv$@Ym?CWW7rfTPPc^oxTMcmd
zqqZf_JW*vk4aPdJpPXr~PrUTfM>IHb39>rhI34ACovR%(X_9yp^^5)5j#alb2!6do
z0VKh*Q`AI{>S8Q$cG?%ZF$!s^liqq`^gT+-=VI;bR=%PG<MN{f^MFsrdKDU&EQ^b|
z?Ukw1n*;HANd)IJ&`kG5pFUFTp}|OV5IjB2=zuEBcBavSQ6oj1?G18%Y#g)g(z?@Y
ze3e`3C?!$H|DKj0iVfYk-mKGTdGD90iT#VsR-HNDx{J=fFm7l+YI}X&tYIc-ieG$`
z350K<Wb@U3LdD*B@!KwxDeY)YGO2yE<rvuQrcAq2`89OsRIv-O=e`*?w<Rg{+*r#y
zubH7yEA_Bc5S2m3vkwNl5wp)FIA5_i#Atrfy{PxDltd}P1lnF3=TkG8k}GK@><Zh1
zsK$Q08t2>nX9ss8+meWIFFGy(^q@mU%%Sx}rXna)K2Q?{z}7XZejDHG(YfH}d;g~z
z6*{Vpd16MDRx4NGa(!Ei&xe1jmo$jOO=U0L&3napkT*qG=tW!?)9+^D;W(77Z!&S3
z*4d{0-T6vnSUj`tYM$_Q<lqJ#K31dmO6=?oFE{FlUgN{qpe%Ae4mDeG9|{3)t!-<^
zQa;XzgHDJcCrAFxQ{0RUMy7knICuZHJP50rhhQ1^#j~vGFi51Te>@JD9@0iHYx?^1
zZ{hm4;{<9bP|tSI<7zBcVjd-}6ID5UdMZEjKHA~*$6DunZuCJzzh4yi-22QycCy99
zQ=2x>$ntvN*=wVVK9-3|*F}G88Z+#|=jw88<U^dm!k^*~cefHD!!8p7<cCkA{Cg8w
zeSc_|$~v(^Apd!&DiF|QBa^4MFZ(eBhk2=i>-XJue~jI3rnbk8z-Q6ai4kPU1wSaB
zB7EnRT)m?2lp#ZpYl-7qbX$FqOqSDD*0#rI5A?Rw6vlpMKb=}G58cfC`{9WH&6{qO
zi{%#)n+@;U86`K&Yd?>9WDt3s*hF(bo(HMVgjd^!ypzImj@HOfZ6a>I70$Z;H{Wcs
zG4Fs~ke>=oTOc7R8PwEJ<8gebc3bCsc{Y4#<LgI#x9kBVLx<)EtM=WQpS%;#emn5|
znf($QJVrk)N0M8xko*4|kB|wj_F#M9tJ0fJQR;v%B@#~Rm0*nS@=QW@_uu7nCN1^s
zSj#s-(kxg0v9--v<7U~3R;}HVaCO?u$J4NQ|7GYCa^LYvgXI-LUANqAwsHK~2(l;a
z#C%_5&;6p0M1gbi(XQvpYa{UomgCpI%2e)@Tkel{9ac)wkLB)-+dVS$6h1CGYV~NW
zcmpW{&znrp)*K?S{T=qQH?_Q9z=g3+t%f7EM7zFZCIb+G>zY(L-bCj&u^*jxDp3>f
z+4Go$67k;*<9CD+@Vi<z$mL71H8bhlDUp4Yc%`03iy-PNxITBj`1qwtI}KqUzK{$<
z9(5pVz$Y`(_xzb;-N{RC9r2m<&+@HL$B_~z#|K;NmXW3#(_1MOpM={fOfL_?3WdlR
z+eS`qiBRoFczz$RbJaoHsQlC8X8Y6iACySj9M<*&uTTZ#$}*LxSG>L6Au4lCHXL1F
zlP(<xwe7lj!M_F1MAPn4G@)lm5@=94SZH~6-+v6_<+uN*wRwJ;BePw%SwUkR%cSe+
zu~_N2H}1o^QQ-;q>+O5~H}DQSeGsLL{+=+RZ1v(rw;s7$oRX;)1hKXAo>U(qX_?_j
zzR==>P?%rBifE;8{jBf*NMR4V4Nc+vtE5W-rqdp(y}>%qxh?UKXQB1WbF}o4y`AdU
z<BPjaytI^RSA#Jp?pyufKb#IvKRzoe4jX(nqCbBeE8%4~7ByV&!^e*juz&a(VMwW>
z_4~P`=^iR9U+NyJIb6p5xQSDk#7_``^1CjqIUP+d@vmfTWh^I!FVkJ+g+HRHevy3(
zgo6`GnDo6s6aKW9DNoge+l>3VXD-T~rOxZ=d~=NFdYOC6g)x$IXBjfwm*Lmu5+nbP
zi%Y7Gm7eu+b}hAKsZQl~`r+E6s{arVvQ0RD{pfqrYpKSh5SROF=TnZ%j?xUt<Cog(
zMx(^kNEO8>;(v5XRASF6G&U;^gv{=|9&H3!sam-RC#4a1<=9O5`TocVf`a&diegPg
z*hbK=n@>N*?ck^kzV8~$;2~7R+0ZJx9$CAN=`F6my3+ayAN-h?5F5$NHX8v$tN4+f
zJ(2(3yPi2AGCCqQ@^+hkq`7f_sdI52In}3xjfI7yIX<>%F(x*ehSSR0D)r|6?E629
zJ8r_%hR1-6{>O`zQzcWP+55w=m7{l@=AZbIau!!i`W*ww>MCYz-uDOZh0--ul~?1v
zV-}77fIK-{b)8w_^Oprq^*J#{={?@RP79pR1Tbi$x__%4ZQnj22H5gC-5R>dDk(_^
z))d{zc`b|c=8P1Lh%DtDe5PW}EwVMFutjC^d6UWS=@RW=6M?@+yEB}GfE-r%;PucJ
z7<cOEWxG<Ja%N#`8x|OxomQg8n3AQHnp)U!p0s!}hKcfgW~3phprdn`Si*ll_w!l>
z4(ZL_@rJxV#d4g(^<mCRR0*R}wg`$G<HdRR0`XYWQsrhRX@|H%$@1m*0cBsNng^HD
zjO)w2j=L42TgvFIXeV{z^|0#pXVTUd-=Zu9Ssikvtya#I`pv1y2WI~=uFh17z@4Yc
zRvb<kA);#TAK1a0l#zWLHur1$Tjvpe&TQt3UM?Z;-V>frRt&rreVZk*B`)Ur!!15B
zK3-|?dcK@G@7iW;VqllH2K^PE)nT%XjE#WtRj<-WL%sW`g%NrC;@8IZ-z6<Yx}^<f
zEAqBR)G{hZnLZ3U*@brqeEBjirfN;)u9I;=Vf>d5-!zQO4I2qlZEy4^P((yT?zsGY
z@(Nf~tdpdBQ$8(9T;kxP`9dATJRMEDbq#thDd?Pp<XDVG75>TIj+sU1hEK><#5w*s
zyHUsAo{AyUi2GWaQhr#$(}nEZFE3cORXVH?dvk}4lk@)d&)nBCY^T{FA%tBJS=o>a
z#opi2(o$p@;^Sh^6E1p$vkmtXg!g%&j)>UHgVr`S7pF+sBJ-2=BK_0T96H|ljg5tk
zg_8?2E3>ni1DNj?-S!=_BZTfnBJuFQw(HM@W5Hf%tajL9dh!v7JSN2pw{q%gh#hhU
z6f-9C^o~UPb#Y8C{O~4x_wL>3Bf({|;hb)>XI)0dhBQ+XMGTA!4RyDOBNTeu!WUv5
zmw@$^VldzD9VGiXdAW6nKU%kKW0TUKj3qZFFRRie0_hewe|Uq><ME#L^emr;Uh>P^
zouj>p+l}{Ej-TrqSPu^g_i`FC-X695`J<<y({Ry@06!tB2reZ#%*0O*pK{KiX`8Z-
ztfmw~e9zqlwqN-@Ih>AaNxJ>H#We$ZL_3!SdhS>yd8<RdSETT8e57yrKzn|LMU>RU
z+vwRMaFdvpCZntPa2!@MRDUcqTyDyqaWnZXcyV0f=nXqttH5j3tOzbxM|6aX(s-`U
zjo!M8X%0CLFN)icnbBE?Rps%MkFgQ2w4Kb~O8SWZJ0-Z=5p{FZOc=nCMO`ZA%&V(2
z`O?DE^p#-pdy01kF$&8%%Wqb-iXP;v$};_Jc^^jU&_<HK)G(3hjR*J(S40gsJZ#~4
za|xAck;|MZP0<PqMb19g#l-ew-J<O~fqW?<0pHb`<m9ObcDBW%)TSRC$;wKxq<asR
zL(i!su;|{ac{v}+7)BiBtww@tln7HHey>n6KGV|Kle0NiDQjg)xm9_PXnToj_qZ<D
zU#+JoMPK^m^0~5Vc7r=O;3jn&Ya_8@=69%Wf6YhsH>XZ0Ck~nPe|j`W{kt!$-h{!8
zav!9Z@Bf~Ggcy4r1zoy8YAe{{hx69_!MowZV0|NK4)?hH$xGJTwKCA>mli+e#F+2e
za>_`(lPuet%-!$vfJSwE66ns`2_A)DYGF}t*!3p4<h8dz;1jp^BVMnUXxu^n4}~&x
z8_wUG2QJCCTaFIG?n07oLq)m|a30UWV?vBS_XP@`%PyD(5>gVd_Q(AFa?Ru)Kk*J0
zH5i8x+(b|jA05$b-0Kh)nFbTC?ti@>R*M~`z+p+@$M_Bf>&~=lY<ai38IDW*&dPfF
zdNe*N`88u|$Vhzz)A3eRlKV{vF5dp-Y9*;!1s47l#q?y=MYB0Y__x{n9nraHGQWeL
zr*xzF@E1xmqkm%5&{IiU;-d6cM$3)8gNO0>>Nca@P#G1y78n1l85~AAJfF0&-6zxi
zM!`RrF81EO^>MwuahV<2UpUcsQIj|@+L_pjmSr_6eTz~s3wG>JZ)#`bm-xoRyd8cQ
zu%6K~Wo;5GPBM9X1&=9j$KZSDuBc*3M#pz%WOg|$rVo=tx^ym^EaS^OV=n7~?50Nc
zN8fnx<sT$qR`i4aCi}LSQfuaFyKib{Cg0JZEKps2#fG%hq?B%+H=UQ!(SwRK-?YJM
za`)Qj$$L06&GGB83s02C*N}i`MYd`?6sMM^#!ZE-b<B9YKGczT!3vy-cs0hPG}dzn
zOHJW3r?uzf7Bz9xb+@$7v%sh4GPsGa^W2){WDK|S3DHan#3?MY!%qjsX7(eUC-`Dh
z4PhpBF|;h-pkN)*dYOtsq(88*v!|fr&nN1KmQOF(Hts?%`-|`iJdu)Cd|65D07q0u
zi;(AcY(H|`v*oA#^s=D6bnY>cJCFEx*ZJqsF$;HYBaBn>Vq)B~=#o4&g?bH!m-D+3
zMqj%Sew}=!TB8gb!Y5$gZxj37vU2&O+^~*29&02dF!>}Ed4VZ8EaP!#NET^Fj+KS|
z$+4$d!HAkEK|qI*si-)=-eHaN4uJtze4yI>9=_Opr$rL+RL`f(ZMzB8)%{-KwZUg~
zE_(I%n9+FeM^lS_Y+c^3+mu-S#)TyzVe@+!PjFh%;fq!L#7MVW9QQ?jW|>hqe`Lj#
zO$|IM>Ur8r(j?lQPgwZhsdkC?7Sf?!?Q%>`(cyHpKW!Cq(KDw}F1U$O^e0H18IN3T
zRO|P@ua5c=>GEGVUwYuv#QlEf(2!9~BEa)B?)K?oUW<5?bU)yJhd6AmD>(UKm3(A$
z7+3dkhf~ky6bXTmw*PtSf*lEIpw}Ry+FHZq=z^K2s_t8WXwQS!oTa1pc-76nK{mZ-
zG*$@G^ItR`p4anz1D3*$z1I?$N&kidE{&`V-F4}{$&ivT`wf_9=@CkWgj{5#CCI4A
zj<lS9^GbT3sQLNw*3CbT3|r?@;Ew2wF~)}zGXXtLHkOq4n1lLDDL41hl^g}`-;j|n
zFQ%ssukMDhV#a(D6E%0G!(%*EQaC;u20HjZ;lCruUv$2{;CH#|jEcX$dwr?q{p;#=
z016E~y+YVdW8-7gj+VLxJIC^H;B{<S#M*3{pNAa9^>ua4#|}OIMoxq`P<{(Ar+X%P
z#ImV;q2f%;w_li=Pj~m$6vc-8RveDTXG{vs>jq+Cbb0;zt_8mE3iP-jU3_}>GAo~d
zn&ve9D6s+m)tdj3%;OFo3wN9TdehV_A7x5;#SP0JzG<F^3l9F8iE+@<(lP_{tDuLb
zgW=8J=lIxKk@9@Uo29>c@7kK>0vNZ?wBBx_KqJt=(OKfV5XmMIO@z(q%e}G<D4{a<
z*$_iL;dABBNzayi75E)BsL2QAG^v(J?!B4!rs49*2~V=tTh;8^T;FtXZwq<L#Ri2X
ze!Q%y-2esI7n)5EXIr&oi2iZS#aA73`!&=RtKWD$v}7y^C}U`E5{maOPDLvD?7l?p
zZ!&W3l2-S>5sM9|UBpBG=e?~d1UWeTjKzc?=&R?q5sTFRN@p=SUT+y{#dWeg2B#an
z&1UD%g`=rcC*<MjVETFyvtsM<F?mon<Xymx=Xroj7=GrR+s@Eda>d^Q0ms%=1tThc
z&ynxDUvLwG6r4gcDh}dEpEAfA6Y%kMwadh*A{n$!OH>9@@!qfB%s%YVKixL}G!MAH
zYFdKhau_uJ^c?H8k~h9-;vWN*^P@GgV!*ABFkTo6W*<h)HVW>p^o*Cj`7~<SPgf2R
z&%p`uIEUlG8*oY5=~Z+TGH`^u+vP!+dp$fm+u7D9rtwFGiK)80T%++HdxBf%(&Naw
zii%1M7B*O~2?+`2O56QXKeDo%0`3XtJ;Uc9U&)*x8Cq;}*cE+b><EH?C18e%4w-BN
zJxrH-iM)P=L}opP)Of2cw&3>kzICeeqTatGUG}~|1h2(zIbCW$WEW1Aa<&Z>-}NCO
zQL7{i7v=4~b2J>zxvKR1(uBm}QnD;2rqZQ;=#{3{!l?WXYr}$(k<rW&DdTnGJN&8X
zDTjFSGq4waLaMB+>@$8of3Vqs)XtF~+Va+~Db37U8MO^6BQ91Vkk^g6A|%B8j>vSC
zggqr-`WI|sVL?|=Xle3+`zOYGfm<7LqdiaD%F1dyq>UN`kwbrD5)vtBB_ojpC4W_x
zO{a)`#$Af55Q#7({2&P45#xL|bwj6j3-+nDyr!1xjyqR^*(TD_+|<}cHbR)xHAWx(
zKKza5!IPUO1`L|M@L$^%{v(u_t}}~a_!<ih3tF!Yl_`$*c<<xlca5w_u3Y6}DV=Ai
zprD8YB}Ijl@i#Sf*SSJo`F#`!NHkGVnF=A;%u3a$tg13w{&2iQ9>~*jHwT-`4yz1<
z4voU;Agy9s)>bR%E~gQf%D2(?i%h5!lKz#d4`=+ZZE6`h(W$xHpCZx~>;_jpPTtnB
zWvNd!VYfJ9PiUh$BvkDT+&PuXemfdYoRcSg3G>;~eYa)kNAHItPDnc;7&hAW%7?}1
z%_i7Reesm*G{w16@ktso$q<ORk#Rw80`iaOV&C{6t8JR+3ALxBdhL3rt$I`I!<tat
z&#5ef3qx&52aP`>QfGTa00aMHafWWxHzH)+kIcK1(Sw7YgAvn6J#xfNe;m#Y6_+z6
zgok8Jl2Hs_!;-Xy3Ch$arWS0avC=*mGmUA}TfV<~aA)XUvQV5%WtEYvEM8JYdW0;E
zuR@u@EHkQxtq?k2cxoz|GMmLqagn>3EIlbnQl9l^U5mMLujuCCfJH0F1q11Uo7d>~
z=67pKQ|K(Pe$#Vqq1mQ(&m?i}l907>P1Z>?vbXULXYGOBu#|#yxq4)Y^XozzmYB*?
zu8_B*4oh6^6NQSZuE!zBPxu*1Ma|THmVeCSvUme+k2sk6uJKvssz#zXH1y)yzQc}^
zQ0w?EB>j7(Fs?@hD3|{2Wgh!9kfltVvb6WS!#%MpcXbomJTl^R{?|gl-pbRv5OMk;
zGl692^B+C!2$e6oE3>?0gO|@#ug7K76pKFW!$F%P$l&iCtXZ8d1r06=cZEOcT7B@K
zLC!^~`f6d*q@ftErW_HYg|lwr@q8n=kFskQ>fJ2Ho0EFTII4;N{vug`nTEE(^SMs@
zu7mzVE4D&%e%`LRUV>h8T~<|EURH5hU3GI_esx-7ep+T@cXvD2>;T{rq<$HcPCsjh
zhlOPlG#U}{`iJ@ubAB6!OLkv(eeP0L_5i^)Z^KRPf*CIyD6+nAnwg$ml=8`*p5mOE
zWLKG-oLDJlzm$cx;UML&zV5u!-)wfr2WwKZM8+$uwz|x_pmx6CbykQx6HoM)FPdX$
zn_IgZHapvyQ^B>4%x2pIN)TyF3;g5ccZ{r9o%^5oa-DOOu2ZG@>S>QBYEa=C*yOW=
z%KYkr2Im)hhsS4^yC>(S2Rp{b#|g-ZKD8OVhV3N(n`^`CRCO|VDa`rWQV*4<{#AjA
zOLBTXKY7gu$_5IuPChdAi*v`t-bms==`?Sug#P}~(vqOT)=5!QbE*sh4O&M?C9{*$
z$7{Pv{SpJQChr3fum{w%=@Pw>6x0G*@)V=!*ym29Ehn|{fj{N_1NrY4lM0ip83?V0
ziWp>vWP^i)-|mt&#7sNi9fWMdswq!n_Z2{X)9uRF2$9NV{klu~Gv8o%cdi$p8@1YN
zYmP(ZMVx{${+sPY0o=N5Flysc8?2joZg1!zMrI!L5?V+emaNhcBTUVTFx8#LspZK@
z&4p1J18og4YavM!C233J@W|ALsTqlJ2~<Rc3kNh=6&`H12Enpt<+F7UczCxn=V#@~
z)5Y!(eDG{8+WZ4i`cOjG&z}hnGa<C*RHS$DfQFP^Oj%J%){@Cjp9*iop*+K>q{e&M
z-S_rhGXZZ-E76rpz4NW3yOn03g?nhS#5hW-Y&=_f>TuopjgaQdTCZ*1^fn7Dgtr=|
z{3lcojK6>KZUD;=L-8<eaUWCB&>($Yu6cUS2hD}~y`Kqr5ouLf5x<k;YcjTGh1!}K
zRr@i<2c7Y~YsFvn!SIUVjc08|5%Hy-ZWcoG!b1pZ*f-{a9&foXMwq=NKhw48NK7CN
z9Dt&ngOwdap=%c}Vgq;L-feC;^b%L0OhFkO+Y){k55E}h|A>p-e7|crQ-4cX-kg*q
z5vjt^NI$tETd-r{*eg5`7Fh4|f&e%@Jq6~t@$zzE9^`XGq$08JDk=BWu$Sl6X_C-q
zZ?N0xG_JEG>lG>w^gRa!)nFk@<ZB49B%=zx?$s%Y_z?*z4jj5{2lAsCEG?as^mLXn
zO9Fw{`o-kAv&+9h*>bJb<=kbjyPP)$4v6iBu$8~|*lftZ{QT^m;s2@-n%7OWELr&2
z^KUDzKL`u`L_=%wZSaTl^7!|}{&=9rh>CiReKY8cXbxwu208k5m4da!;O+5bNpf}B
zj5c!WgN)b$`|1_JD?aP%ZWFJ%W5Y?PlBf0tJO!1d@HmC=Bqa{(+L1URqIPOAL{cbd
zgEynSqpzvpd(5Jaeh>5y(j%ds+LfX&x@Y6nWyLDl)Xyd`rV{7X3>2|=KLWmqy&?sT
zD0G6J%ks@%(#NDQ-QM5w3<#(W2Rl2$tiC6@)1c9v{I_1IeLIT~HuXE58TI2a!#5Z~
zK^Pc+nB?7^-XD#8Js6LR)*_GEI)ul;NvmbfY?=PeN5y7XT3YXh@D68IW>R|EKQmc^
z=Ik9RX_Muj%lAt(xxvyjjWM*S=a8#&M?05l1HJ({yva!p6YO5rvwl!4d=(3bc(o)G
zEGnR)o1^*PaZ({Dt#!Xw0B45r+n7ZpA!TW$!!NeYfGtw_O4iLmb*~i){EIdmPoT==
z1}XpZ!#Q|Z8?Y!x?^w#s{6invqszHYEyy>okJEIZ)sdSBy?2}SsGoJOn=O5GBrMtz
zq@UWvqQja(UV}!75DFz-R<Bn$E)jzg^!0+)blGvx)MyW3QIn7+R^z$ruBhNJVqf^#
z9rN&~KamnUo)eqx{B~8pr%fnydb_*Obbg>yjBw=TVdMa}nVDN0i{R-+a7v(eHr`hw
zs^G&{z)LF;5uvxXXSlJgzxUO4&)Cwypu6=Ng@K)>B$q*9GA3q1Sy833SR}VbM}U~;
z0~bv)5(2xQuPf|V_S{YxH-~C6ZZ)BEmwFxzo;i(A3o9u(O-!=7GY4v7PJAH;bSjfr
z0|n;n?fUWy-u%^$dQ-#wnKR~)2;ba|I=~k=1CJoanzASD5+-_w+6I%KLb+#UCN8iM
z;5x2|=}6DfQ2L2J=jNtM^De;J*4n~SGO{8uF7drq-1{-C!)_K4&Dd{5jTyLJ_hYd}
z9v&W+mOMk3l4)8-N|rhshtVpwOvRcL0J4>%A-F`y(5Ul4;^!E_5i|$R`i<g5g*4RE
z58q~lFTEV2D}LU&?H4&#rUoi<3YUA*U2tcb5?T-~dL_%ddREqK@O(a*UHlPnQ-7g4
zkmh8J8YA+eudZ53FKIBntG7%8Z&gC6qqd^1Go!3AK~hp!!@_yyP<`QC9gOVK{XkBj
zr*iQ?@W{W;r37Cg!rMcV-ApYeEqjqMTp?iNt2)I#c1_4YQjlw-sH|+dVpVMYHH`-$
zguxoCwW_LSLazpETtQ!Ajgarr)YSN^DP2YhD~~iLE+^!*rN<jg!osrp>SjH)Tmjhc
zw0|FzVp3MJ*2k{@SKXP%L)m@}d}cCbNtC6sXNeYTveVd=?4&|y(V*#3mh8qBDO)H-
z3<hIgi^rC-v`DroQl`Z|SwbOF@0l5%=l#5YyuW|n*QbBzzOVbbuj`z1opasS`JPi2
zeu6<mJydm`hwOhV7h%~m>e}yIAA7{R(w;M04=YDX(+u{)n<nnhJqkQ7?Ft7D?Up|A
z*~xjwl=EjNcdDBqoBS75C(3ENso_0f0(>Tow9fgz4i9Ep{ZKlxW}yux@DP%fJYkAj
z^SC3XaMm6Jdv1RgOynryMw}?vgJKdvAep}#A?EDkYdsX`zhMw4PR?|M<}Y0i71q*|
zr*|^1d7ifVtjA3I54b~ozsTYoXY{zZzjOBKjV7?t_|=mCewB!b5wg`Y>=G|G>p#zd
zi+oMp_op)>H`-#_2Y*TE4AaqOv<<x}L1P1pNc~aGzRV?Qe3B5|(4Qe<f&AWewA$H1
zdgI>j28g+IisIq@tn1C;_0XLE`4TxHoox1-ZW|9ID5EAa`_l3Z^uZ+3n@%7hzNp?%
zI#`I_XqUn)lJOreangwRAD!twBH43Y{~>LJX+zh|4+G-gM<z*a4D${i&H#;zQawJ}
zjEgW~D9D(-?Ns7hvZGDDVN5pp)%GryTnY1SjE-eA15N_Ur~ASQXK*j(=dVuMm@^-)
ztf}E(W#v=4Gyuu4lBVfW5u#TdH@A9zNE0(;+}P9%&I=?wTm<EVq|j>=KS^=%)+bLw
zH}5(2c<jU5^2SC7nY;OUdF^d&jezN*Wtc!h3qVg?FB?AzxqMdm<KUK{{$GxIQb>B|
zNi6mN?|@QzK0ZDjcV&e&{i_GJU#gVxm>+oo1!T)AD{qHQK7amPXw-0fWN0W79j&>N
zj4_4c=ih-01TZ#<g!%8)yOwqH^UtaX(`Wc3H<aeJwYDaU!O3@^b%>>&+g_JOgcxvX
z_T!&#EgV({0v9@!htegU4Ap+z|HME)g+8+Qok-R(fbs->X=Ty7+OS-t5Cpu8$<0du
zwsGwOGL!YHL_?^r>C@Pog^WqRhVn}D1|k#lSS?q7Dwj8T8ZvBuEzcp5NX^E%LV4#<
zA#RA9S4&Wh<>m)zBe=2`)Ab5RY1pml`PB6q>m)dVW-Ve7R^p4tMCrOPP_LB0&>rjo
zOwK7+L@OXkOQ*MZ2uY&6hTjYh`U9FJeWd;3-igd%D`7ufnpEQznXrlyu`VeF4&o<n
z0wj4dCtmCJ$y_ztEpzr4xu!zbwG)Hi%bw>q=8<o6^zGo_;3oA&Gr>bHw^CBx^yC=6
z>x$_T0M##uZ=ee>thUuCCKJ9_w)!hevu2MwQp!Gk`UK3xoZQ^p`llmfV-S<q3<=sy
zcfEQ=WZEfXPa0f+WR~8oB84@4N)t_<Iyzz3xoVH-mFVJHgPQEejHV^1yZz>V3EZ`1
zqXpn1h)@|OtZErRBz&&mlN`vxi)A5eMMPr6TceZZPEWwUJgm`vZF=w_kjnKtuEOa*
zlfy?!NaxUQf^K5c?$W(|po2vAsI!bwFlWNzPTZfq^{lsB><?tPkyUFTdk_#PRswe(
zJTMvk3B8+;DX*$p(B;syHaEwpX9C!{xVRV&oYyS$ydHI|#%_<i-r3nnje_B!_<xl)
zGc!B32s|Au7E8#1?8^Lm+9X8LiIT#C0*j20&ri`8W)$mXAG`Nkel_PW=-2Uo4|~C9
z(y|Tcrlz?7fj&^J1bL@EnfK=9wWvioDpNNkGYIdzTpO9Fjdt}u()vzt)_#|M@So*p
zN7RI;)5S}KZ5$oVbT!EwIPfEQ$=Rk_b$=O`!PZB2599#6Jg*S5K*O4kzDOPhI<}~&
z=!8I|PFDJ$t)`$%O@a3^yOb)a7``g#Zo8F$W>^S<I&w7DsP6rnAr^sIWqJ850e*gd
z*h`zFd`(yNeEISvX?*HS+f5f27iVW@US3|P)S0)ds0D_EcnHc24@1IT=L2<HZ!aKW
zDCY1>hieCrlxKi?O`K7tE~tn6)`&Dw^plk^jcNj}9R~*o-^pWFHn$~`bx+vaPks54
zeJrYjeXjInVdHJ+Sk|xAo-+a$*A4OjS3<{VvPv6nY-|ktX2t3xwUJ;zAZ=51(<)TE
zr$&JcIfEq|n*h@IU(XZvysT+zY6AE-@#0iiSXi=VGN8Y$g|fHvctt<8k2#dAoRfmK
z$_;0C0TV9&^#*y}Xa=%QQ5w@KmlhV_I2&RJp&9&3g+0~x#~WMq<f97~KayxXpxKa+
zeb;&iPjQp>)%5lCffse$LJ%jFzt2LjvZ7+QniqCxwhTtAwpJzPCpoE2sS3s2^{}Sq
zP}<(R1z90+#<&rNsn_9_I(YE7v9a;-<HYwlUXsa|iM@gbd~2M1e0)Mertxt>i|;Nf
z#)Zb13c7d+-#J?*6Yq0Mxi0dUvJHoz8d2j|jiYM=ddMkP^4mlnHF=*ERByiE>Uz{&
zuDiu2`QdzZYU-}K7Gw88%XIB)4wH|{JT4!-cFLq;R{V@by!LPY6d~BPps#n1DDuAS
zhBs}tNGYsUn`lo@k8t3(&`NPdLW=*SRB!g(t8qI{pSk1HJ8etd|8<^J$O=h!1V!k2
zN&x9@tkCtG-%9>=*4D(jf@1;L51Xc~WA72}X-lc!4~g?BoawcUQ#94N$1VHkO=WDg
zM(o}Fzb@nfcgRcP*QjflruK)b@q*vzvzzFKS#Lk)u?Tv#Rx>3w<J`jBoV=o9abckX
z{2V@<`&#w>`H1XNnRvH8R`MIep@3w*&eJ*-#q(m{eFZLPZzsBOOy_6q;{ImAk$E-w
zy3&oRD{*&l#8KBv$>mF~c|;=A!PW#cexq5;U2ZUAPvef$&Df_nJSiNZ>8daN-l(H5
z;)cPnHP&)h3^n3Z!{dWI8JVlbqUr1FDjwg8CfRWh?-8f8lY}<b)?QxDRbOUs8CF;H
zrZ<-0Wq0H#A^owI8R?=(2A5k0!Je-0(2$1&-Z$=m>&T|{H6Ot=upOiEEbf41B*O~B
zyx6mdWDFnU`^lIh+Jk(Uuo_J5HI=$Itv9>}JVFv2is6Xe_x`=?EfZ%~g~82;^=k%M
zrat_ANJ;4qZ(H`qm%asT2`n!X;(ZcU0(i4}R(QXZJkIjH8F!m*9T7}MPCy<3nTAvM
zqky1y4YElkv2|NkMR5oNSLa8{0o%8w4n@Jt@2RM>@#AuT(*51f@-rrGZ#g7iLgH*&
zTU%$U{H7=N<LzQeV2o~e%?&^6G46k7_%P}Ve8x0)bz)4lNOM6mkW>I2=v`Oz+_m&<
z$E|EN>SOT(6+G$n^Jg1nXNnWK)@@UG^UsBGNt63zXGw|=uZTn?wIKxT%%;s-vF`3)
z1C7cSVGHogVded7^dUv<AZ!`1JAJxaHQyx3e5ZqzRnp2m;h^t{VAsKh+1c5#Z{14f
znEd>R{$;hh<tDGqb^6e+@en4aj{udTezwV2SAvh9A9v{zjS0Orx|}lxM;a2E|7?st
z=cDGTE-hf=pYZ>dDXO}EpQfUVyStseeM8WyPm8H6wc2XNYLOx#E>6nKRx4C9BtHm@
z9*+nb&Gy=mgkO8iZEXz`(^mxD>R61c8oL)f$$$0#%pEkVc?1+QXEp7IhTfGcLifMU
z#24!=hE$X-NzA-k(DSJv)Y9ANK8i=7sr@~;!e~n1BP(s<W8HUX8%xVds6POQ{8O{*
zR#yC}4#p-XKbDsI%|n7bN=YOUCRhxB3>^g%m|(Z%LOA`^ku26WHWo&DkC*EYaIwo0
zQZar9l3r)2+<0A9TKXE+?^wvVF4UqWqZ;Vz7f`PLtsO~B<UDoi6o=L_Au)0L4`X1E
z+1c}AQvLRYJ2>AlNweIO(PzLizAl_I%;pzUHnYVfS$D{JsdxggO7Ta<e3jrfSEGbn
zT?&PwC@848!?21yQ{_rFi4>iCtM&H5FRB&Q+%H)en&M=DpV`(YdX5ISe`l#itOa7(
z{g0_?BWhFmHC_`?-~6x3muCW_%QW}w*;9XQHV^&8-ofGL{&38^zJ_GNb&UMFa@sSS
z_YVS7-N?CHeYQa?>4n;PRd5&o_8gaSsH<)X_OFLe-~MM{b@hJ0F;_1sCztRM#k}WQ
zMSN8AFHfD?81v0^<H;G@44=vkZnn2SdlumD-&^Gc=Ed3zWU{<m?t&oJM_H{Jki*n9
z%d(WnNOY`D>S1?YbRc!LLYfIe43;dO^@i{WLlkTW(R_xu7!`m+l0G`hHhc@)9{?+*
zf5c2denxhmwR#Hw_wqsDZ<5VsJW!N*3E1G@w&oe=p!$3#LkstLK&mvLq5iy(%xv)Z
z{1ny&tbuZ&K~#a4>mUUf;^#+SraW*5euHrDS|@lgucOMN43V@wkdH5i+ro?K!i@<;
z!3qksKtbWL5&^8kuYyB%^Ya(=M~oq}E;m47kb+t3%UhV38X)i9L5Lctu;{TDY}z5W
z^GuAH`s9cYp6e5QL#sRi6srptE)4NtAz1|qtIW<zvF8)G>og)B1hSY{QI!e~JECV2
zWZy<jAi`=koFev}Z7ZA~qQ8DXze!X2lIPag6`7YIudKY2d`UsGkb4FSZ?Q?PTP+b0
zZRCS+htQK?XN`0TyEe4z+g{rE4BPqDdnL#-ED8P`k}pP^Yus{5r%VWEuIk!(>W5ju
zUrSQ^7ENbN5+^bg8dWZDV}#^;Z_^!6Bs24AybiCw`P5SPD6i)4kIvx~A4<WXCwTSS
z#*4NcJ$DX(L}8aTVk298nPW9n7!l_|HuGrw9Ops)k4H1=%8cxy8vOeV)Xqo6Pl({h
z$GtEuh8qh79*+l`%|enl=cWtQL?Xgl<;D5R_V#w6pkqhOO3TV-<t8hF)r=m#jUFcs
zR+8XLHUinmxeKB&2-1FJ7d94+fQOu&lM`@vvzD|y#C}h4{K;GCGV$9If2Yy0(cfEF
zx5Y7|pi9zxTwq_%{i>B)BGYwZ8A(2?**>%p6PLlbyS2eXTU)1w>UUZ=jJM|*&E#hW
ziwd6(nF`$^G!ckeG}6U9%aZ9OX}BTj6Wzcjr{HrHa!{czcpl4P`2OZwmPlZQ2&M;j
zf_m?(iQF?IewG-0|43~O$wnppSlUZRA4ODzeY0c3iT_f1x_07o&GuveM(K*M@bwYH
z&uvU12D6L;tNGDDY7b)yY0<4XMDj`7;x^)H1oAT*%zZF_R>Z%zB|&6uqNcK$A&~Hb
z5wdXCGA?4rMwpL4nn2Tvlb?3|(=ulh-1UE@L*>%l04aQ#-PrhG`c^{IYZMNL3tAO*
z>V6l0lOx-&*4#jd{<;M1W(wtu%w2aCWYjVb;cb@Emzu559jf3}I<-_7I~K)kOlWj&
zUS4GeyF#}O{&du!QNP)+r#<X84D0Onqnl{_=1@pkg9Y66e{JYE0K$N)QG79cs~0?t
z2H-8tY#*=X1Ro|+VID>rCYc?@C23krBB^*&ldpSvM9YT4?_@Ihc&c1z8A`+v2O{s9
z6X8i$0=z>gpu3tNn4cO8C4286_yC3WhN*B{R4o@Y`rz<YMkqMLM1zk~vsXuw%<9yU
ztA5)Ds$IFfUuy!-rC}uQ_`{tOo?qWePj|K7TbF}7Oprn#z{3Lx(iH;(C+}2ZDm8Zy
z)Jwe5en6r)#4s~GTdpW9(Yz>%fGS-uFgsC+iHYjhX3`-I80r$$tK4$<z-lgMh|`u1
zbBeR`74+2A$QKjPVo264wpSqgkSh%TT4HV6aRJF9LoT@)e*^0VioMhr3b(!pWcd_)
zz;S-vNZ0Wa_{+W{nqp%+0bF!t_MyAj+eOP70d_p8v=lIAg8pMC&$(zhw|c%x6V+#!
zghqrn*}}*fhob?4LDjEEM5w5!z$w4)S{H}}(A=utt7qu3c*C{XGchCBV)@M&64#Bh
z{B!A2_gNz0aFqxl9|hHxRDHjF0%r<hmyV8(_wV2T;0}A}wlw|z?pv4K(FQD<`ToG}
zg;y1OJ1;+t9v}FjPyI)u@HphHC?~sJlN)9id{T&@D!$$%Z@5Hw#Cy=F0bYZZfA4Yt
zYc#bY>b)Lq!1vcjAefIL6Se-)IwxDioIrh(ks#e*(L|ygcJJbF&P0xXw0D39B%xH+
oGKwx<w8k!h&Y%1L)}22bN7uxIrX+-KAmHbyzNucRj#Jow0p9W=L;wH)

diff --git a/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-4.png b/assets/media/blog-images/2023-12-07-semantic-options-benchmarks/semantic-options-4.png
index cd8b47f88812ea30b8b93026914ab7a933be177e..f51eefb591bae716abb0f7e75a1781d78d8be1ed 100644
GIT binary patch
literal 52944
zcmeGE1$!3D(gq4AA;jH<xDg>C?ykf=gt!xTcOydF-QC>{;!fP%-QCWFwb$Cb``i2b
z1LwfSHN#9xbx(EIU3XPKL9)`K@Gv+qARr*{pTvaZK|tO(f`EWVLxBNLz;WFkfeWau
zyr=+3*~q&+;2z1~^Cv?oDG(~)1r*2|P!y0iuSI~rAfOB&ueH#Ce+&V}AmG2BgMf$t
zR}hAe42&G~3>+U>2<hoLm>4)1=s`eWBi{T|<5vXuKlhsvNWbqPfr_^g$ba91f<&PF
za}O02@%tW}o{b44D)Nu}sDIyQfc{&$46wf?dgGY!=I?vZ=>H|%f0OvbM>dX+A3;F=
z^EwRQ5D!dOtFhu|yU$XR9D0`Kv^x5hx(2jP=2ovAfN(i+0Jr7_b~=Pk=4KYQ98TQC
zze{ic_pguXhzWleu`}f+{wyU+C}?S8K*&P-k@h1o4-6q8A(xH5A&0z>$iJ!s|Kle9
zYG-G~K}YB4=t%3xNNZ_hL`Tog&QAA{fsTRU15o0Ft+R!lj?)JVTav#T`MVt<16w^C
zV=FsjOAEr+c6D?u?d`aUiC;VV=g+_7G`ISvBMaMqjS3haos*6g9X;(wy8l+mz{&XE
z;{BgmuW$ZmHLI_dc9ynZE&oT4|GfU64e0CrBde9YjoI%h(buChFf%YWu&}cQ>e2sK
zdF_l1|A)M<Z~p4;_gDC9a=3s`$suK_Z*1r+q+@5m^QtNz=ovnIWKsNExw+{6qs+gj
z_IGVT8v~%`|Nq*5l=-9f>kM+p7#i9d*eM#D8}R(4i(GX7`TT!Z5i&M1wlj7y(End`
z|6Sle8&R;=wKdRt?f2hhfCc!k-v8U%|J{O&4Iqbwjv3E?Yv7-k|5^XvBmbw!|CoV)
z-v4J4{}%JVcKzpv{zv6FUO&}eA4LDZeeb_z`0o||kU(FL!`5Ec#6ZvPkA48P`n|pd
zbd2c!c+5rjUrTenDkTRnJV2*)Ue_=WJr~{o&$EB^$wl|N!2ekAzuW)oDX^XJzyO;1
z_twM%GoiM?0RqAY@=1ta(Fyc06;eH>ccM3YJm-@Vzc5k>)b+B&VGoWJjWPMyXWgVE
zLrMD9B+ZbXc6xex95u7bo8@j=FdsrFD5$`rr~T-g{^)ExtJvg+#hqEB^rg9_6<gM!
zk)e^8M)!wn?sF7ya8Q0eB&5GDaKU`4zVfKLK3;@C6JUQ|I`F`S24YUU|Ib6OHDn~p
ziPHoa;Xhjd2aROd;{3C+7ooNjP@Rb@PeAV9J-zmuBYB7L?@nI3#KH%v!-p5jqWvw=
zU-D5Zw7vOTn7>5(CJI#V)T2Us`+o-TD(3%{{r^Q`y0^bcbkw@9i*xurS1~5w7E4X`
z*N1Zr4QzVl@=oQI$QbuNUS~)Zx|A3F6zOienE`MJQi_U`K5t>|`bHAyJG;BLcG5lZ
zIqY@=2s{dGRcL=tZv`H>#Y)@Lar23blarsHpJJhW_tMf+^GO@y___ZL4)kXtYN!MV
zQ0h2_xlf&ka0nA?odH^IXTo?@u$Z)uw;SP+riH9M862JcxxaM?<9ml`dF%C@QF`ms
z^+IK3<=oudird9-0=-@VeUBf|<Qt_-N~i?5*Cv%hW<@%$M8e*w7Ru*pwz`m!liM83
zR_bXq*+Ij@8;o-6_eCTmU{N`qEHAaWyC!9Vx4PXiFjG=eqEblbe2W{5`|v#^#BDp#
zXe5=B)#+3_mItlQZ0>wYMeD<t8nIF?k4L9`>D1XSR?B6#g*x-eo0ApK{wOjukEg2{
z<<c)d+$h8Gx$j4LUld(G@&8ugViAxucK3Tbhb2^U$<vz~M?1TBJZ`s>g$g=94?EVP
z7nLw>x8k+hUY;LfHa0dY!G0Jv+aEZrc7U4P`t|B!n*7QDtv4J^E491Z%THh36i<{{
zYo$VyM*=TF^ByNOSjW1YR<oQcQALHQw_M?2ndS=7>HPK<9K7Qsj#eZ1?c@GbF*GzZ
zApY0c3ZnS_{{A-*a2a#qyw6VOoBin2%D<l59*#R9E`h06DfxT`$fBJ7ez5|WJw&ck
zK43;-2TW(me$Woa)5-K6FE!sB&RvY>N-Qrg7b}-${W#wmbUa>c^nCG1a({Wck(4AO
zd;5Epm*9Y6kzW{vmukFy{K(CnipTSCcd;`{T~DjtfP{w^x(jV8%#zA#sToZ!g~Mu*
zl9ZGb8R;Emvptj;SX65=<%3AAVK|)RkFJ?Z)1u-p0OR8oORQ~_doi8p(ClzD`$-|l
z3=-9^IWu;#+9=%D_l<=hRQ#eq_vcy@r53k=7|PDFCh1g;!wO>vBYn=W&vTiAkT6#V
zGmiH5{^&)5gyh8h<7uJI@{Ky35Z?j=1FdXrO&97uFwK;zIi9rMNGG#|LI4BLeF($j
z902s9BREd+kFj;bfFDehffXafn{C&|iesn2QGc6&fPm1|5(x8C`-#=~Fr(#3q>wcu
zgy)3;G7>Tc1z#X8<Wvshj|L7(Eu6u$%izt!#`f761f5E;Z(u+G#*dpwSH5uI`?~-k
zCZTiRcp?THYD&tz+;~j^GHeVCh-yx!(~RosYJvP!8EL4@CB-{4Cnq+VD!tw?Kqr0D
z#~mMU&ngB>)#|U07UI`n^2i<kT9O#xF~fE1<T)d%V_NrjcZJMoHa0f5U7$gu85x9Z
zM2DEw;p>y&FN%|Kp*YM%a@jotvDB4sGiUr#O@ek~{BQO_h~s^{{7GcRbB1iT28_K$
z+PK{BFNc#^3l-UL-j=KlCo${Q55q>o6BE7*{Rt@CntFqtZu5@?c?pVk8(?Fhhoii#
zgtXR%IvE1m?j+#7-_0)5XwF(y_q_4<VdN#2r~7R~rid~cK-Oq-hTNVX?+QrUpRU#1
zB2rRP3KX$O-U_$r@5o?xM*ei23qZtS65A{GSbyJsdn|DfQ@A{Z;df&)7Ewj0eFqhT
zLa6}xwZ+p4<>$-}&|iZYm1AX5=j!$G(qJ48?oEgHo4L>J_xr`S`PFZGy;BX}&1Isb
zXX3J2?Eae6v}p*CND2O$cdJWmAV1OU2(0jzRB!FB0<pQ&?A1w!n5y6Vl5!{rf^Y+c
z&dl@5%X55OoWs-o6_5LU$APBjll`<m>*Mxta%H&QdlhLxs_C3Y+nxEjIUNJt;&2WH
zNYDoQQ1<tUY9Ld_lr1WdNR4RVH1A&bFJ#CI@OT$EdM6zlEU2g4bzyx=%W%(o+fnX-
z3o=7%i!qS0UQpXE*+tqjY#e42v^rePh~Xp2LS{F?(9Ur1lhgC_bwy4hE<$0tmatp1
zr6%U|6d0e@br5k?&A&E!9B?+dFvR;#MBb1z6lT&o%SW2Irs@Nc^)A`4w=G)j9*6a+
zRpH@?_amR8$=9w%mK>LzA&-j;@@sw=K@XyUy)PPAd~b{kdommvJ_!XD7s8h)kNp&R
z5i(m0{lV`DBK%X`j9CLZKhhfx=D^Hg>j0xphj;nJT%1A8Wn5HFWFx6X3kDveh^Cxj
zX{QR@t?U=sBv-#h`-}%B7VVVPsiKo6bi}82_joZ%f{fCCyWai1!O|pGaA@m28~gXY
zy}iU8aeBVBk>}m)@NH+6e85;C5ZX{eeWn4+RTvPG)Nc+!Z<b1Cd1tJjT_Q42F-t*&
ziu#HXIv|ic>cVc2y+e@%4SFqnwLnyD_CyFRv#V>%6OWjUTp}3QhZ!9XKW`ZDRy$<q
zKmQgh0TXnV89~C20|R-Y1yMi*6FkJ5Z*S57=M5!bcK*a98N7f1@r5t<xqn%%-_>6W
z&?5op2de-^>QD4zh6msm^Cw)w1I#}FOa~TJV2m-GqJQ3>0IDv`ODwVO89w3)_8*`H
zU?sR$tOQXcpztSFQhP-^YA+Cd_kY5jj}TzQfXJ_w@(+<qNeJchN<H7`Km8-?E3$e6
zNEYf{^y^P#)iM1F;ilU`t33W3MTj>bSr4DmSC~HqJ9r($!3v0K`=6ue;R7Vo%b;TV
zQ?LqqU=TG|mR==Ve~v<r5Ri;s7Cq@t!DcytLCoK?@=gD>Tl}l>|8IJKPec!2#|V~?
ze;zbagZo1rv`A$k5nu%M6b@p$|M@r~!oVlU{%I<<j*N^f8jc?t64GL~H$GLY0{`jD
z*C$>uT3T8F62QU06aia7tIO4M`<Lf`YWwg-BEKi0swCDkJV!`oG5=C;p>cP<B`7F}
z>_w$i<oA&@nAMjT(gQZ|1V9{t=e=Qgg98Km09Xh>z=Pw7KzdcEK_R|pBAkuJK2K`B
z43iH`!UHwC6zJ&a%%0C~n}dMCehUeycBwA0v^kQ--3-`f{b5Larwo^?{ag$8DndZ{
z8YsxfwpM@mQplvWSgi?|nCyq*vVx=el4u(l?d<KT=8DJ8*P61LO!jqlcCHFS@qd3E
z^>=rso5Q7MM*v>jtay3?*oDS1F4x_V6Ik#S+CMhJd6#R9C&t^9RnrNz1);inddf6g
z?*UWM#|?myqA#^nQ4y`Jt?>NXMY)>o9(cz1?D)p`iTE9Wg$Vm)Ty$pe&XyQZTJ|wI
zZ8M=E=ZkIb>sh_5pEMw36N>_c?55Kt0Mh-QVT{vZfX3f33q_;V_71sPt={5jp&qk;
zeD<s99*MQZa*H!yO}SkzcbA&$uj67Q$N-)HvaZ)H`wU>}FkDt?AxT(gE~q3e_p2!h
zx>nLWTUcje26+AqC#Y5DyCugJq60X<I7-%ccUEk+%9_)Dsp<RiL+5gLj4YoVjRqT7
z+aJ#MS^&6NFx(|;AvX#!!49)csgU=1vP7Q&SZ=bU;5;vnwlo`o3Bvnip`qR#KmB3P
z{8K;b_|ON!O2P8;WmT#5`QAF>q`Y^uu|Yw;&=R7_?m}H_Jhh|I<6r;^AiZY*v)vi7
zx3@<}uI}r=&VPgWb8hYqa2Hq*oHI?3U$+P3aDGl`9}N5BMO8Ht16Y2qou3nx5&eBk
zz)qbZ26edH`tW#n;TQ5=p3c}z5ggy`^as%7(Oh+JK{k{%<Lgvo{}|QV-RKQRt?zSK
zq_<pZG7!!bbfV?LOOwNwkuG}O@~e<PH`y7d^SINvhSjlg;=_dZV5nH&nqp8+RHZS_
zxevwK7y@1oxU1(*s-vP16#6Hrt%2CWyQ>*3=<CeoaZ0YMNrf6xasMwebkfL0@ptHK
z&D=JdeUHaqw7F#hjP$)xqbZ@meE2}20BalThS6n8lM%Ye01IZnKY4a_wNz)GtSS=E
z9~$bVpTNZOQ#d>PC_|-OQ}{qHV_JOtyOzh@)+^!`vsi416mW6jNM9W8@0Z)R^~{RO
zId9xaBjFL-lfID676}E`<)%mm)0Fyf6MlMBVv@&)Cll%ITHG1S(^JdnjioX(Yzk3M
zOe0rBOi?;V3a!!esGC+M?wj$}IE`k9S^&!0mCH4AI5E)u%rvF`P`B9Pd;zFlz41hk
zuF-o`Y8J4pK^hi2kv*|6oAa-@{x$eQa|%)Fa#K?uG+Pn~+VP)`nXuWcR@>Yko^Ll0
zQ?EUru2cZ*E^Cf}#}V_fZ_)oIliqx`LT9DTUCHsC&}^YXeiZjR5kWLNJmNUp{)shg
z)e$#1=4c7Z#AJk?5p@T%eMC;p^j6a!->RF#C`2>|#2Z~W9}MRXZf3U@sp373(q;!|
z5Yj%~nTk%ve@BpcG@IbGy&2JP*B#89o$Z1X92VMz0)r6s8me^C|EUQltxDjdOHPHB
zdwOccM3b19=wBBDp&a04Z)R75Fs&<tWzmP+r|U?kBU-Y2t4pU=2j`HIn%b)0k8+vR
zFmxaoCxkGOFO$w>jN%<etyqv@$8Npe6+tA}6HdVEbh>)8?0T{mK=Ax<(jKJA|1nZU
z)7d}5UM%ir$&ny*#pR%s_vJBKX6Q1U>l~`?Ll)TqV_D{WMB6*m_GvenUF~sK6#4xz
zQ355jn!qvAvQ=zjNU|zQSm&eKnVQ&X`H_*v#;3k+ZVJ@09IfKx6Q$fNl};CLboJEB
z#1{b5N6VL!=jx{ff6{8_z5X&1IuEM3_9IQ_N1MZz{zDO>-*}G@6rnD}+qa2dE7Us!
z6W?Q!IxB)hK%6HGZGDXE^$U?jPfu~a6IV77LAcH`ov{RVnq+>!vDx^lGTqpcnq1wQ
zpBydYe@?q4p#(++Ab?XPD$xGsyie70M0e9S2Q!HM;insYpLuwAbaZs?%OUn6G&o(v
z*WIaFPq&3|i`0ojBR_|b>g6o*St#h{P&P@{B&WNb_XD0Ln|22XN10YTzLAxJcw&KN
zzErYEFuT$~i^CC)D%pzD2E4K#Z5_Wage2UkqNk^)(oAs)@+Z5O=O^*GU>-&W%aSGB
z*1c8#FH`PGQ^lIYqtyk`0qn|`He2p8r+A}F)Yx-!m<lX-;tAFJ`q@cs!~4obn7c}f
zN#mMG0P>k7IDKS<FyJ=UCD$E<KajmF3{Dgqh37IPX4y#y>SHOvLtsQsR)Z75<FNDc
ztQrl7tV#r2*_C3YVu*Zs96fUR>r=DmbmwhsJmN1t+aIV6v&Jb5@V~dXQE^<^EygxT
z?BQET<6A&QB1j`#J2(J42=({p_3Kczy*bwE=yC(YtsEmwiBF?dbSl#;y}2$1^?dCx
zL`qaKjx`qS!%aq(%UZ&P?^3n7h3)}I)C*B}gElIfjE67X{aO_;q5<%@d0xIxt-{|i
z#Ibusi6|+dSB5Ry?nDaB=Bl;;reci5hJF87qL9^^kJHc9F7E8?Y+%<dFE^KnmgMR@
zeHDPv!7=@NHdXi+<zR0=h;Aglk{5fzD6qV|ygB;v;6H9;QaN7D9AJN$O{XPGg@m8B
zlP!PlLO1oF&y;CA0DF|rY%hUlN<u;b%fWnYF$d%Z`t)&-X61$3XQ_5%_oRmA-P}eR
zJBF`(ou>C^BLi(7<mA?K(|y9pBX#gMrYjjR=U+3Ia=i()xxg!UwF~I+p9CluN)n;A
zA-<FJqRd4p8C7r%3*8#HxVoA~)|fDk?ZFmuhIJEgq<-#SDE&efj&b#d+NF8Vc(cE+
zB`+ap`ndI@>0M<J`jUWe%TE(0l{4n#RD}oi;4c`I)dhjE=hs$(q+Hj-V$#$qWi2*a
z;*l63>Tg+fdP^>0;NiL5ZY$(_j=q7ZDLGtNTU(27?M>uUHZ(V11aXq1P`!27F&Ipm
z+zcMTU<QF)#@2Aoyz3YUM*#WYQ?%Ok-K*>CE<{8-KQ!LXW`8tb+Jjs`tS|gAHTke5
zZ3sE8PgV%t)x=iJM?@g0zwHUb`;Ik0mLC|=sCxLFuC3s@`~Ay{!pDIXzs(`7nKUXR
z6^pMoBAVzaq4Xlo6b}_i&n+9Y8tg9H>jN5c8n`M4^IUwSQhFI5n6CIcT3Cn;zg8P&
zsc5;!!m~WSL&Xl__9o_KM1FAVuH|#jP&Ogwup_r#YJ<gAojCwk!k^2hOp>q{cEM0j
z#dC(df6;>tZcIQyPp@*{lQV*B&a<atDOM@;`JSDYLz9^(mKb-6Mq`Q~Cf27ktHqX)
zEoJW;lFN*-u@jT;vI>|*(FR57Jb*uYnvmf&h@Nk<KUnd22;H~{3k$>AV((wh7Deo0
zzD(Mj^hWq*?*t?2Df@1{Flg0aIU_T$y+QjYHYjMoSWhUfDFKQ_wz}@AEOjIgdcc==
zYSt5qDIGPjHHx|dkq2Nr-^*ftB`aoqm^RKEXL4G*z1vi!CjK&s_*J$!_(#wV`L0$a
z*hyDRae%bu>|<wGS}B;?%+27EWIp-9JUl|(j(U603Wc~VWV6kPw8OLo<G5<J`aB_6
zoiVup_uch^W#>BEK_S=W<B$+Is2BG0iRVkTCZn94z<rf@q)OQ~Q;9~cp}nv3*VU1(
zX7g;E!vz^p3fh%Q*mzPiA^vB_8pgO66v~P7^vEE?K00;e<m1*G&2L@rOA-c`78hf%
z3E7IaElv7-eEZpMHnpigbFiItet;Vmi$?N;iqqW!=SXT#_qY!d^k-Tv%c^@^|4wJc
zEAJK*!Ju@dV{zY8_M^*}HV(TAw)a#jNy8j&>``PVVG;nYh;O=AK=@US^GYWjz<0*7
zMYEBFl|q)d+70Jv$>=ulFPEZ7S{G)D<+gYY3!@Zh6MV|^C1&Dk*TNUVdJZ|Q3q6~0
zrl_7SLbFITPa`oWR!36gWyJc$r3cCNqpGu8Tc0$-a~E#Z+pSR>QKc9?&d|9BRIVN5
zxZ<c>aD<W7PQPrH5z3l@n@vc9Uv%w3@uMF3f@yddW`%^nVP#(>0n0K-wUV()BRj)_
z`Q<F|!?g-od)Po*tCDYqp3%k_W(V|%IfmDUp~umO9L*d6%OY*3Lr~Z_(Ib)yTwyVj
zn{}%pt4K^OFx;r4D+GQikII6uhR;Mr@NtoWUj8N?Zca^`jHZZ;!N@U^@p)>kyFgA!
zo}8KxX*7Y}cTL;pVtY8->l_^!HJsQU;hosJKPF|K6&3o9dlt6>K93ulbjnxysf(*d
zYIIMpaGv`>wfCZ;Az0oVsB-ucF2`*(^sCg{^7r9`;a5jUMPGE_#MBAoPkW!yso$}q
z-|U@0y3|0GV6P%uU!RW^Y)bSeD!EZx`4t4GTRzQiSs&NbKd1<n$hTQ<D9=wFPF|M8
z)C_4*M8%nflKPn*fs9t*Xu=D)#U4e>e+KAG17dAo!z|18CyeG_DeSh2B44P6g)XL3
zLL^2!Dvb0HZm=GjceJ(2<Wi|x!c*FACxSPai<NhmsDAZkM_ALtYYaC<#@gahBQw@e
zt4;S;rkFZIA`oJ`{sdfoT%Al$L<&7SS-!=tRC-4P&^>=UoaAl!t&n@T07@>$YA)(n
z!+EuN8w+Bx@;ig!!fPp?VKUvK3&i3rg4L5+=NHw-b-BViI9P#u#S;wKifZcbn0p$c
z<DO`hVku*o3e(5o$<6or6CAPges^!bD(1Y6h*I<M3PP?>WkmLfEBFZgEqw1=Hg8G@
zO{`&-s;97ev$f2N^p(_O>-sJENo#M`N<!;F8w>NXIetcJhra~&&c?)Ti_@LScx=h#
z&;hOVbr?d5X}j(A+IHyz`;4XfaGS!X;Lrih5szis&xv49i+G1{Ztt@~!rDt6;^bMl
z!5(p}^_iX;7_y$BxE>CxIhxd-9+Gmm#!Dm5DCbg>c9IDvX{s3}Gg5lFkQ2S23r&Po
z4n==Fy9AYf!_nCN{1&VWq-Oz<)w(#L^f|hVUDT93i)3(;9+fiIkO_6G@f{u`vbmLv
zjg?g&;~3Z2y#0_+&1khe_II`5#DY~r@eLG@=elD%`7hG-)Ar(G`J_t<<5dp$VF1n+
zX=h<ZnW!QjAtMNv=65SO+}Pe&+t>J!>ywPy8+86|-9%aXiwFx#Rt$CGS^u7OkTJgp
z{*@0`r>}bi=f$D?r1+Qt20Fbl9n@!3uy<4|PK4WQZNnwT<HCv5i`B+oK`akNtK&o`
zVbAwh>O?4EP1Vu3a!TQe2o1Bi2<oPpaz5<LHIT+GgsF#wNZ>kI`bHs9I%~<?oO3Ts
zbGpqC6dHOV-ZA5sU?!x0E@XTsy6XIJ_iP&h)#)NBV4|pgzU>>pz4T6Ps(g{WB*!9;
z*kE6qHr|JCkAL<0$d%=={TEG5lI>Ww@n<|3tZ)He>JxUHtL>B}L5?Xi`31AYFQo_^
zi4_1#frjoq8FC0f0=V6GhD07~YqgKgnD*!#M?jcCVQDm)6<=Advj0JbjAp^3O(MI9
zW7{cJ^Q~5JjOs@o8x^DqJ0MKeh8G**LBF@3yGiqCDbHAjTokI!*WkR;;%qvPinktR
zOXCg?kwidKCG4a<C5|sqpY{W{Q09Q}4Kl{7drJuQ2<ffFnT<PhMzMSEX(BNud_|?%
zf~vrPkQ%adzcJEgZh}-=jdg%ZS&fzP36sC$5lS0|*M^01-EE+;L6HCvlRyR&k#&bE
z*4>1YlVj!Vyl$g{MPB86N=;fhEu*C1vr6G6{q6F%;yO`%!*u*{)td-axx!Dbzj-q|
zBtnwA<!I>es~3vu)RCoeyS;-w@%J3Wo#o5!&$D-ff}ArpHhm;;VxSTLjsdaSj3d+*
z1D8(Y`n1>!7~8mr-DOm0HAJltnSQv!eFciycGH6<XOS1mwfD+Pct4sv^G|b=!)WJF
z=E_sQGL_!z3~asyy&&WhKZA`g)07;MY{4C1{lG}U_~7C&GK`xO(qP}L+FDfC=@i>{
zx`3GSusib<epxaoC-FoOB$jxuNA}^ZHwsaO<B6uUc%0C{qCJ<+Q`%Qo(T88!?aNbc
z;!L=>yNlWOOT5oKyC)lqCC91iQh!B@Gi1RL(m!#bB)V~MFdy6x4`^B}qYpGUH!7EH
zZpknA_x~6fOXG8c2)k0)jiJfmKM-LKOAAUr>-|Ch)Oi`cO(dV^&&8AYZHt&M!g<{{
zBHj()*o{U~*gYQE`dL1?Ujn2}6lwJAIpA^iWeNrWs6rGY9SByQ1B}HYhwC-X*_xQH
zVB({QUQfuYOJ7}8C03*uq8CmNz4yI7t#hGD)d{I=E)F)1Y&hh!8!yR^X3>q9tE+dc
z?W;1r#Fu~}VSto`5$FKc5#Y5hAZRTjBZr5w{aUFu;(Tcab%Dj1fjF5$EHtxJao8T$
z8-+9f{HYz>3}7i&Z-nC1nZTo>qIm8$qjz_|cJ;o(=Z>F&34o8eQe^;p7mP%P%+Zey
zJqAS9NW!E1o&fx~x;q?0sSrWg4<Ur0#S@FR(~U&Wiq}x_^<wTi)HLQ1N@q;j;;FP)
zu?R_i%5`ZuL9-OB)RVai3{bAVH{K{oL9|-^n$;9IGC3l(PXTtOVh~kaJrPAOq8Sd_
z!d#FZn(pU!kT_4C8vLHZ12j;0)U7vwKby_FP;E2{a0DfG&>~57+1Yx49UT)VendA8
z^z!oZg+y#>Zq807o#SBtNEu;|8HtRDN32SyF7T0@{M%?u44TRerv-IjtbR_H_%jgq
zI-}{MQqAFy?eVnWaOL8#|2*1LRY?osVpmA8UT?P{7s>EFAng(bJS4ztTC&D`fo0Yh
z@G_*#$nRYpFVFEJ*;IL^+Z%mb#e`hA&Ck^|n^Niw9qsC0$lncASBExXZUzbO6}SPR
zv9{aw??9k}=pbVDljaxjj!l4Mf+Ub!5O!Z|b-ih`+e4uo>Cch_=o3Icej-7_<M=Ui
z(a@MZTpt1KCWp-?ls?fj;Oa$}FZT8ZBmur^0vcXTp>pZ`P$FZ$MCQw{?<{HTxSsa1
zGZ4hO`-n->5|)UVjw<=lW0V|MK-2*WY+D$F5xI_#Wgl=Qhq}J0)1zj-cLvy`hU5jw
z$#SjsAXExn^7%$v3WzKqFiUBe6-gqBF(v5-bMf6jAWS$nba%-Q>MOA>#@^sBnv(nd
zCAk?J3ygUQ(i;JysyqlF2DUKWOm}XoI?*D<tfKAx$^Kxv)O?}tBLg>cQck`Cd7vJd
z54n)6$-4jDFG0l2%&u?J!OOAKD)J6CO?oB(6N~*(+bapB)br)pPL7R`3(dVKZLnL`
zgNnsmJKhR5=)QQT=0k<*R4_U*UEUM|lBY7P8=Ep?E)cy(<hcd0K*Gf}WsYW<5~4p@
zbX;+drjYrDjbSVa48iz47uTY`VOC!QHSaU}5Bh<;%&A}|9pe(h)vaU6w9M3AT8FQS
zwc3(G@xTVI?BF<EqB@Z$g^FCg+6%#Bmhq!#)zEp_KcI*qJvkXSry^(~N?f>0(S=B%
zs#AFYh%oPyt9c?vyI=p5GU8-`mkSuQ<&iH$1j9e31vj3_&#gfQKNng(UF$rWue~@u
zovksBp5`Jpc<T)i!c{jA#NBDp6yNTYs0@kUukKmkFv<<(UY27L7$al6CpPpz6i&a#
zQF2E}{X|t`fZayy&k_YeE~pJKr2sNFt_-+1KmYljM&2+JM7K`lcB4W%^Mfs`6Of6}
z{&3v9ctuv?{BTqcfJeDj7kmE^%LD0^mVEW<`xo`Nh=x!{ik#CkTk8#oZwqV)EX{6c
z5l+&2(H~gA@Hid1O!&crbQLQ6!vNRm=y0x@)ofNaq<bWtcV%WK-Z$z}N=8OyNa#Bz
zorsX!u+XB9eX$`i7Te2V3^$kg<zgr5(fO0}gMi@UCo#1UXK_q)Zy<E({?L1kjmlZT
z?2I84pGZM7{iUByN=VWjAOF2~EYAn2>1`n92N3%%_j~yp>+2TFO|1`3Zmrt9(V?16
zkOPg@gJYUb8hajnBI-*?%%<<&y%Xx9LDOBY)w$Jdb})Y(JD*I+ym^QT`In}xl=krE
zz=TEuemT=X-2E-hG$ygPj%Xulzs>YVWH7PB*+pmsS%6ZY5D9mzY(AD>{(+@uWMo99
zUh|>1swPBI3(-i=i;~G46f|p%DvZ9aViu(gIRmO!PJr0X(c0SixN%2Z8WJWYP-#zH
zdT`l=w9NR4uT}(xjK8CQjEDL`+AS7L)8;-Ou#n1>qN@P$z2(Q2Y{_G<*+@NwGm=23
z-XLpSu3YqX|GUa|$1fn?f?Wq>w|yizmGPnZR&SJ>T}Rv>2LGE2oV7JQfsCi~T$UCQ
z7M8l{FW>MGeBMUCE?j>n&0(<>M~=DSVGW|IrFepm12s2oSkHY5jX{>0?fZh;6&{|)
zYCXk4(qczrl5UTokXDrWlIL%^ODl8VL2<|RDq}ZXe*Kz74y1nE0@Ps~oz_T@{|{ft
zlTa}z#50mNr9t25jyhKZb+r-_#VTlzR=`xXo}rM~@GuG1zsjyExbLaUmzVMnY*sW%
z=hpG3ZE;cC2O`bmB_n%?&8eymxs2STYlVc~Z6>E*Xz`C7yFK+Uuv#w8I*?9}jTv_)
zZAJI+s<YPcKS*~wDk}u6G+9fHw)w^mZhhZYsCXA}GFYe*t-yFNbE<4a{hGB=feap~
zR{wP@D_b;t{nYEkHM$HD5trwum}#%19T{0;lomS4SUq3Wr$SX8bQtKbB=UK0dDy5E
zP#D0GN36_A5#HiUD1Y2&$-CVzF5gzt5KE1eenG-U*m2C!{3Z(1k}o+&FC*h|NZC0X
z5<^z1R%>^gt>^B3LV9(~>f|IMl2lxbyQL?3?a8^(+R9n~joIve)30AjttQuISj*Fc
za{~`D|9r_6o~_37#%N__%!~HkeB|)NP+xO6<6+iFizt&WHZ-Z`bL}Of@IXi~mo3A(
z)sf3fN_BrUgNBnvV-$zMPZId#S{z25fwecyE3SGl8VmOO*W<|qt}ZTgDK8WLyBD9Y
z2j}Kmuhv+_<JaBsxzQIgz2VQE)-y?4!9fLyI^@m(B3P!kC|mDQj<(jEt$VZ`<uYSl
z+<m}*KCGezRngD3vL!5?t6Fck#fZFpy3&+RuoRO6ARdB0iIsjCo9fSu*lYz{w9{lm
z=A6DRjdIOa7V~)|HHB0=AbCi+Tr(6Bg>F5V+SqKedH!b<nFN&gAUz+I^~AR9V}V?D
z4SbF|95_^WKwGrlr;2%_G*_bT)?o!izz58eq!-(o$(0Cy;CVT{>Z^A2Ya}0DD8M)}
z>J9li*3^l35l5@__%QitL)nZYA<D-2vEYHC^*Sv+epGZq%P<^4DrAXH`rXz3Lc0HC
z38%sOMgv5M=W|%Xa_eZu&2qw{g9rx$wU1f(!*O`{OYaFItAT+<Vxo#@c+2S2@KNR1
zC@DEP-0_^tX2IEL+wC@@mIvGM*pGIaWh+Xa<6@b-`h&@*ptI<6wJ@HmG3)-yAmi}s
zvTPYWV-moSk_myl1uy3^7vjjnrLAR7anavZ$d}&JyY8<Jt&^8Xbg`G4sbU~TIKg}9
z%Ls&ZbV|z91ZI`PohQ@!=x1kkaEx(5c_Q<eH|$3Z1{Y+_g!c_G{Z(Fpg(cq2Z`r0x
zwA#}?Zh$9~9wIaiy@kbysE90K@#Cl`hoUhn3p@n)RB~rZx$>wtsdG;akF#qE*6^md
z^3beTN2B|G-(H?(*85TM4FXy4j-NIc(&gSsr!bYe$ERT(&}WR^Z%3!3m~yg|>y^KB
z&2lpSfVk}LwUoQv%C|frxSkcv?omi%yQ@8Ef0T`65Hy*AEkkcI=roy3q>g*!F<FGQ
z^|(!8aZK9Ek|ZmV73#-jXV)51UtL{ocpSZpeJpC_cv2u=-8fiim3qpNIAglFF1+n*
zF?i2-j6^j}{V*RI>N<*WjHX^zLgas?J1oor4dy}w@=$BSh}^D=0D?}^IA5exJga@P
zHz7)w5Ihbg$WD8EscmtMAe{-H#KU=4n}zhgr4&9X2t}bREmX=m$LL64jFJbEE~bX5
z!V3ILomr5wd?M+{nEF2BTK%#MtT6eV(WlK&MIrCbv0zQxz46>k0C;Q*!}-ezgf>L!
z+mVVQ=)U*oeZI}UUcz*4g>4;#u)Dw9vnx?7L?I6^X)X))D|rAm2@d;xAu@}l0rD#V
zg#}Q3FfNDsbx+fkHJ^c!Mz1GgVp2q`%TRAI4Ce5T!;_3;LG}WiS}}?QACGe<oH>Aa
z!s>>r!E(ouaoN|y#Kfjv*&Zjr$>Vtqcfe|arL<I)Q;{-&)uIe-B$c~%HD0xrYT?Y|
zZjJ&4m6qztZJE_-ci#Y(PDm7=rvY<KsdQ8-QH@@1r_TJI^IG7Nw|`|cU7`U?VPO=%
zDlmabOu7xVx5oZ~mJFFbv%+E~DDH}i8R{&ThK|1j97>y9Acm+m!GUH-NKqF#jnk3V
zOx#r>A5M@w`Hh7bK&q4Sen6(M!|5}SLndq^Cniq^@FFzVm9J{_a_U5td4AS7Wkahj
zxr@hPUpMUb&y|m;%ofv0v{<%WT&?t|Qw6G!jL0u(QPI&KQLhepWAHd}ucQuC#w6)c
zmv|rPTYNDplG_L43VS7MY~~2Cu^orL1t<1(PsK8nFUG{WbW7T8Y}*5v?RfPfu{}4B
zw7Nb&RF_;lF#KT2vtT^eDcv<J<zy<WDchZB+a~aPj4GF(gdiQlA~KYUD)c!){C$ZD
z5ZFuQbeyge`beDWC?w<;)pB;y{vzVywCW9cE35+!I65*=Z-Ug|-c~WRo%P^WXlDrs
zWUe+BNYE3v13<k%!Z~s}j+R0?1&h~%3&O=m!R>A<o(%**Z?FTl+e7@bxld`_t~IvR
zSq!URjnqn`)J~N74;)h0)uZa#X18`P@{^~o{oe?9i}koeaCsR&JT^{@?Togat@}|<
zEc2qoo?RXK!?;6=iVBJ3ro=ey%yQDnAdXV>%7_STwQliEE()8*y6`k#?$+z>`2e$Q
ze>~m0^pu_>>I`I?hz}eE(9O<q>Z0z9xB7@Wb>_j$wdT`~YBf>5Z^#pGob|8el(|>7
zI$R<zm_^IUCX`hKkI^X8C6~Vk@O+mAsshS`1B_V_^pxr(yO`?-u+9L)-tBK0;phk-
zMG^MwFNg3Hf^@VJf;3%kE^;KG6M~v*3a)m4rLp1BgZHHLm$wpNspHC>92V+*VI0eV
z#CO(R#M48j1KOU(VH_J5ZhwDOlo%*6B((H^AisY%B$YS-(AUFX>Rk6i5wDLIvzSq9
z%_ih>l_!6CZ(tq{EKO8eE4gz7#}p!p=T^hlLFX_Dal2*7(MI{#{jw+K`T6`ydE4Ud
zVw5)<zFV{!2rm)1Un09HpB;8Rp!S~!QKS*FZUEV{k$?-EP-iog>(%U+p1@{JT!nd!
z=_C7iIUzHUA=~-+Wr%T<$#nV<aGA!&#x^mGii2Z9l8t{9`7BP<Z6?u56;Bndx9NB4
z_<m(7h5#p7cE5hExx8djcHf>nOI=`@HvL6<MaycoR0g{r*I3=QjzKF0pIo!pqI31k
zy|5;};^`r}(qF9fP-d!3E8_2bWzvI7Cv|&vAQR)lV>$&*#)KlB&i(w7!yXHK$K`xo
zgXQve&Nl~-{edL!SOng<T>j!AKW!&y!@8M$G8l-7p<5flL61kl*~}f01$fwgBqYYj
z{tQ~XjMoTm1R=F@iEN1d6m|1V;c?^9DzDnEK=Z*w$Mld;es=Wfwo8V@2ltLlsZWiK
zX`Nz>utFI?Qsh@MdRr3Rb68R=r_AV0NqT2PAS<@eJct(_;s$W7>rAG^3suGe^GI%k
zje?S;7&TAC#g$TJL#{#ZfN6zUYXJB~v29-k(NVeL6QX0p$BnB#;Q`Th0JJaWN?_8`
ze=MBqjAfaAX3r3`n)rgg^Hh7XyVrnH_7*X~a+`*u!BQnUNfW%WrCr68r9qEe62Wv9
z4s)mu{>?sQ0~=>EVNl!s<5#BC>@*jASc!wvqO@i7)Rg0{A}70{Y7Y;k=DL!lrZ!%~
zc+9+IYkPSucStV2M!}ghad=|Aw3w;u*@TKx8CPrdg|HhQmhHK<Cr*FJrs3qLtNfLb
z4O5YusDwdluH#u6{qB(jOANd)=>|Q^sCYtc2JkLPeTIT7Y_VQR)&fB>#l<Z>Blx_r
z8cIgF$?lk`1sSf%>N3Z-6z(1Qp()Q}s0HJ5hd_w^<*0te3g#V$q84T-1UwF5tZuS0
z690*RTGU`g#Yg6?H&i0W)8$$O$jZ<T*-RpKzkXDDHA^Ki$&pDQ;1{t6)@o#k;AR<S
z2$Gdz_t-%g@Ni^*z9PdJPMYFUJ_$~0=3;5d(;D^)9_b#2_WNdYRTns$aFMX-V>&I@
z-EiWmDNc%jh)9<+w4>#moFGmwXOvWH!fLqwovVt>^RZ+XBM9+j!e`1FGt0)N>W%57
za@w{xBPC1=s-{zDy?k1`UA26l6gKe@=Z);~$g_E_ywlkgVtT^IJDc^~ef}SgS!_$T
zqX|JTc?YudXjhC4Nr)#T`5QbBPki;;Q?4}ynu;($?D{=ESVGV#$xlf?I>JSi<D7f7
z9Z^{VMr3!u9+ax70Q__miEnTsl%@2$&>Dd1Jt;CIKGr4w$>CSeZO|<#v=*=B;T=$|
zr!p+mMM^Y+Q!oBwaIXKja`~!F!)^0EG#P?jvoI-0)ANNoO5wd>mWQCow(*cRv>wz?
zNi^BkZ_|=~y<-u`*(n-J4F|i5X~T73wI<~EtKZWVPcL$YG^QjkCrREwF7l!<j?JXE
zg(e0f*(U_ec3QGym7-8;>hyoh)?s#gY*D{Fp>2|Us-*J&P#I;p*kC<ZWx%m*6E?qE
zT-FApSryUZm-)eNAC$L;wIk1qhpi$>q_i*t1kKL_Vdzls=>3IyOXz9?D?cbp3A2Mh
zp#(0g61km>4>X!Bw~?awnGh?oBOpXX#wT%MHhg6D6vxFcR-;WbwpBaNwU+(&Bo8FI
zwB&g}9x{b8U!-Q=?v$^9$#hwMaDup_=Zi^TLJaab68O;(o+!fM`Btx`j^N8_Y5e`A
zr>yZeebwAA+Ok%ui@4t&^D+h5+YOhO+fEgPyN1f8==VEK?!$MdF7+knXFTy6lk6!l
z3R}QI^+*T}iS<a-1@5P)nxtCVb<Et(i%O9{QNBDoQsb*8GoW(wWW3!=%^RL?w6F|G
zvkIbBkjW5NViXoyomg2R7!}hOKU^IkvM@+x)5@w=oC%3GIGA>n9y-fPi;gl&ox8R9
zBucaGb_ApVPXg&@4oCBu*anc{n=bWto;)>KL3Jfe<I}PttpjabY-|b54cZ8}EQh=`
z&o5x2GS@c=gV>ngx!RUrJo6Jg=`>q*cXm{UMtTl04z;{*evQ-;XGI~VN`Gm6a+;q?
z$q%Sy>`731<AYH)UunFwpW}Cn*q-7mw}6$M@GUR7Sg+jS$^kFz{_^Hc_ziUFp@yGE
zgR$ZJ>=>Tcg}*jhla+tLD2P+Gf?4gf5!o?-U;Bny>EeRsI>o$K(vPfEsWW4qKh}YO
z-Sbp({3%sH)(0&lSuFAGh62ZluB{x&bAk69GJLGKKC><&dW8+b3gLpVh{(9VRdTRh
z9|cY?z}R6yqmRi}no>s<2<!vVcyZ8$CI;Cbj$@FAEA8oWryHA+;S9kXYGOo7RN(Z-
z8RwUmmpR|%6<TD51i^&`NF=zBb9UB|=^e@sQ*iUM6>i>zTgum)eE#6M0Uw}3X1OuO
zO237%HZ{mO=UIK**WkVO=u3aL%aBq^<Ym8Gn4hLQ1>|WYIvfE>C8gd<O%0FLM?WMd
zD|7^hgq)r`h$!D15}S!Okp8$29MR!plp9UsKI;xJ-k2{N5moB|(At(bjy5^5j9wuV
zs=bALsfI5VXPD-qJD1B*nF7C3%cC3h?HxeB?jG0`5CeG+lM=OF^rDn{1#77uWN#Uf
zgC@9ITA)c;4d!{<j2?YEC3CLF^D_WVrA-KO+HtIRx&kr_Tx&`lFNeCrJ?2<zOpjP}
z-tHL)4bb5C)h&P5LgV3Ul;dMhYOb1P&OuNJheYQCpWw2w1%-!c^}kBD60?$@7XB#x
z9i1LArLE@c##~0xayX*d-Yy~UvH-!MCyw6=@_^;&^TF)}B1;uD#fZQQs3<L*k5|(c
z24f`uDHABNYjf2RuJRflkb%U&VK90I#2ln$-c4`cOJ&1pCJhN)2|iM}G$Jz|i}%z5
zjP^xmaY)g`K)L^9GKx14<KCdsJVc(u7<@AY$t^43H{91JCM~VJDdA=+%cy<dD~E1w
z3Mv#5)7#>O9INJe61HsjzE0ud3ur7ijJcT)M2d<m(=<8OpqHT8f@hgoVlv`YfgWFy
zz`#%B4)1{SVi%u^f@(5nI1F^VP~oG`A=g6+y^=XdYc!G5l8SHx^R&QeA0P~9d{SiK
z<AnA~-NupaZa%MJy*G=lu-lxG4LU%pkiw?C2_NCR)4=D5Zg5c<;x-s$DcI7=E^_o3
z&e4SQE;&4)t`nI=JU^V^I9ct=LKx$hq&0^EZIRd+P7ZK`R@?0M#yU5*+Qlb9)&){T
z<Xo;$=%(oPdaMddhujmJ^9qhK`DiFwq@77`5s!GRjZa(QHG*9`xY~E_JKT?MPL|7B
zIoB(#%Uc-*)uNl-_PZ*1@NiRt+an*8)0h`n%Sq^a!m^!v_3mA}*XOT(f`OgfuHrmQ
z<ynW`6<=qgTPRka!nO3Ih5W(<w?lewU`QM`8!h`LC@!K0Bia9U{wf)k6*$PWCjPym
zW7ULMYu}9wwy_Jf(6RYfE^c^3Gh2;igs8ZFB#{3pYZ0#tKFe|NbpwqbwK{&}yG!ji
zQk!@7<I`4yUhy209lTULPvv+!1c%GBtHgQdR-(L5>%Wk*Cn1m4fgq;)mBkrMCOi&m
zDPwzEy65FKK<u!D#`M2SnkjEHR0$DFyyHeF!~_=)1K~;Si|>-_X-2yin?(LO6q{1=
zgOW7Q@Tmsa!|E3*G^OCATb#h<oOd7fsPOTkuWW2;NH)eSixHJeca=M30FP5Fk=zxD
zA)=eeOOJ=r!dh<CKMVQB0d9AbR=#s^hg~n_%-XE)A}*4O6+h5;;bVo5Yb4(IRZ4h#
zJnOQ+e9ugo0piJw^{$}I$i0KeNNvfOj0`rzV;EMG$(?|1OY8@=GJ}N?ao6*k2$<d5
zF<;2*V^XB;VoOhvu7>J-lI4W+%gD|LA3>A$$L-$G<oY0X&+CA4o=21EpIR?B+{jCx
zv>NR<R)E=PeYumdHS%y~SU=?~mnxF|5e;rSZ;VwK!fvJ|G!#^@$uUL79ufHwqpI#Z
z2=cLjpx|1rv9U1>%wdX#hK82&7WyG$i(LtaxPhV~+RyiG@B;?NhK;U!le_8|l52qJ
zHH=D}WA#vXpeabQ+-UNrAfwzzt)*m)tPhX~$onC|lJ4&Cl>{$CXkZdlh}IkyG^~F^
z;PUm5hV^<z5CKX_L`Xe`|IbXuPvO^$S<H#x;e#(J<+P1by{@0G1r5Hq%$r({er~h_
zo%6bf$M;~TU)$>q;JLi@yNAbVf9XNXb)USeZXdY|d)GEQmoM#Nvi6w%jhpK}lBm^m
zrkK@sx#|P%3qEtn=nAJyo<?Jp=M6$rL`Kx*mW+%`>LTx^%*$2&$vwP>6~N;{!Z{a6
zKY98Z6-Lv`gYq*H%jZavWK!#!<AE+lMBFK&{Ti}1^lCT`78dJ0&sH2y&=g_=NG9oc
zVhw?hj;=Oi^y@&xp-B1q<2QgkTFM&|%KQ;4BTRP89r>$9n(S&!0f|!K`?slhcJpCm
z3{r|>t)NIu5b^npvzUCzM4yr%d0XK85~%|PZB%4_2Ho9ejhPXJt0c<3!+V$JR5ezi
zRL<P%Vhy?$6F$OtOOI3gK^8n*7V}1cp{S&f1axG5x_IIwMOs2e#`Rz;NIc#lwJF@m
zj%I5|)8(N4<w=$#$KhvpLaZ7>b5j$u@tDI1V*1Hq)v^Stc((DN!$!Ji>~${!K_HiF
z6xPWIZP}07eJAI;_ux{es&flZ9cS-R;YbCc!0Nt%jFURA0_3A#_al($PI^U%HwK*1
zTPu6Zr*l8Si;2Q0EtJbOUhWK9O||wxjS<y<>T<z@R8w>y#tNV85kpn^1~}z}dOTLO
ztshwpN>(wRh=Y3!#N%Gmv~7eW4HImi@_gOdQwwpf&->4!F-qsM+xp>he%)NO>j?{d
z-elaFxA&8iPp7W`iTfO_n<i1~9&0k?Xt5H=%+;V=F#f&y-N7eGNm&=l^c-acn6l&J
zxw*u7HF9ds`1;WZMLu$0HHa#1aNrDT1#m#X9~QIDawTmR4=Qz`{$(d7bB-t|utlA&
zufv<v9wRp)r~-}hBqnCCz^U+YtvFoM`GVy7G$F`JhS;3WFso;HAq<Nd!8SqwoN)}3
zpmnZEa3;Jxt=Vx#dEeHiOo!a&{YhYAfqDLMLQqr`?OsAq5#&_L^)hBJ0-o%U&{WY(
z$Idbk42v+~k%KnoP@N7bARO~nqm}aN&<p3j2GS{k{NdJ-5fn!btrqqpC~;JZ=j`AK
z;{bEv{GOKht<=M+sw?gR^Vvd_!%q?wUu64&NFZa93i_(|OD}7v#S?vZmU+-krx8NK
zzmqG%ELn$gU|Z{-Pu^5jS501X=uf#QV3e&iY-!)5PbJ#eVGlMTttJq*F-<cY*$!iz
zI53ZJ*%IQu>-7p8<S%d@kt$-}9Af4^YDjsoZfy3SR>r9_^ED*)Bw&r{s(tg!4Dn@}
zSFw{v8#jkVzYob{DkqT86}~EFU*yBvx1b-1GT+`-jFP`iQF0TcYGAYJ;AVc(q8whG
z2y4gsPE*jPr#G_0F0@m|?P#`CVY|??xtYW3nO<C{T4@LBYCUpEb8jx)EWIRF*HgN(
z^VIjL{{ybF0)k~uF^lp8)mztQn?lNdj#!aaN%7YG1IjQmk?w{|BnmRbqK5Hme7!R8
z3@-^I@N+CZ4gzMA80l7Lx^j*7Ep1D6;befsgfb&-lDzP!4CUb{`v{9cLpVY5iBMwY
z8CM5c<yhA@@P+J~O-;fyu`U%gJnS_)UhHg%2VW(ord99UihGZm`9$kz2V&dpr&dLn
z4o$iedgx&SoXOavGVWsq+*{@IgIT78!TYsPO{Xn9_1kpMts~>;UXRo5m}2a`6SsRo
zP&szCGU;9xyyl7J&WU29l^;~9*%-uhr1eFX>UxQCJ9J%AK_JsaVAY;L>Nq(9t<C^5
zj(*8&9vH?F;OqO!GO{2W4GGPZ;kw3f?H$b8iYF%aJ-5?p_MmTGbg58<hJp|)Lg&7Z
zlI)Oae|dKODTC#Tj~t2o_iq8z-2=Y@kSpL1GbHswdtW0dCe|TkyV(~x-{VxGr$kZO
zDBozg(k2*yuojVFE{I0jGOy)&#B82RKXCN(iRbA_`?Hj%UJ7VZyPa*C?X-xx%AnTJ
zBc2q+oRd4%b23AlYdPpfn&;K|Ru`4hbEGdj+@#}bh2QtesUpZ&I?rBbUnF61vFm(_
zr(`~Z%iI2eU!(0@?vt}Si;Gm7?5MsfY2gymQtk6uWn>~JjJLY}8T?4MfFXfI#2-S&
zK(o2eX=U!qP!`$*_#{T75z_v*VF}X=M@4OAy;-N%l<y%Op=YuZf)t6%EG#s6(5C=A
zocQ&cHC>y$NU6RpEb;52ZTaln+(AOnF~GfF51Z}*&u*@LY7PzQQI#%l!xP15w)cJG
zezrqJSbj@^7oSe_G#%EU$|PnS-6P<3iGkyDy*Zw0lwe_x0x66IVwn4L)%h-kXl$X<
zvm~kFdg{t&_U4$H27}L@8bqP=!D&pzim;P_H%UiKP)M97uaM~@TFQ|b99W2G0FVf&
zPpv$y!DA3BzE`dzaAsQBSnj#shl%<8Qa`BG<>ci#9L~x?*OH`v0e>aK?Ia1ShJGD5
zdsqtkasf7HspZbHE0-%dHU|Y)Ze=8N^2XKjvATSEd@?EM%XD!GJaTqI&^!xVU;oH>
zQc%*=nY-KPbd}|MAsNQ80RzvkqD-3X$K&XaOVrL!JD&qL=~?ktyED~)a&32GGpG>6
z_=AFi0>48u8y^&Nu<fuDSV`7$dU0`mO&;wBO7W^STZ8evy}dwsr6AesaV(ZC;IQ$0
z%N+st3UC<wj9M3r6JWa9Jzo@LxczN+yg=WyJ)TSO^0pIrK1QNpzGvPO;6lK%s5Ts)
z6u<mYAUyWd=GS?$Wt(cV!-v*Y1Se*sw$J9%wFh_-cA({SnE2OLj>gFNpZRbnR_0qg
zVtunw1IVO!?dU~9WW=?qpM-YulsK82Y~3_9S$z1QFA{K($gXR|(1GJnv7p9rDU+9b
z6LTA_m*Wy-6uI(VjX&0*B!Zv|bh|y#o$eBYY9d1<4ax6UiclS{5r+3wRPxPxd;s;B
zkFh>J#^*33&U4%nF9KlyuAhQJG(BpfA!57PMWtbF%fb`uXwEJJth)%y44;xt7N?)o
z=aKu$gw70j&h(0k*Yonm##v>AT%7##wXyF~NCU}}uYe;Bk)fE(6ai$fIpRh?f$Z<u
zaxGpr?x2Ps@YhK*N_SUQ`=ljlwkcv19gGF@{}6T7VNtE&+J|w(A)TQ?a!4uZMv0+2
z1SBM+ySsDf?vNId4gm!ur9(gvM5Id^L{P-@vd{Uh@87*IaIw~#_jBLBr!4s9ie-%%
z+A`kUxA`on+WVVw){GZb{McD-JKOND7o14ut02-Ev8DH_Md<9U-*3NMwmGZ>xBua7
z`>Ku|8recA{`TXWx~^Cmga!CcRRx8zIWfPR36_G9r1<$>QCn<=?{jPhS6Nx!`+J~N
zx`{uixCfSUco;z+iYIGW@IHC`km${l^lXkoCzf?&J8d6uub{Jr-_pdutuMf3#O5n&
zp4&ke+)VT2dEjx+z11oyDXHdpUAJfLr__(+dX-&ia3e_aV1!L-d<T;4qy1L2V%!0T
zRqJow$~D^)nwRBowGVRM6&RfONGpyo{5-!ofKc_U7AZINY=qiNh2VEIs$0Fe`u(HM
zaH2V3H9q2741;#PFmLu7_5qcCK^nsx0~sF%AZ?xBuaLTVK87OCBIPu&fbgYcy`Kp;
zwtuwbQxd$*t^VuZ7vIkmxo@V*{Y}PDTa=xZ>rP_iIWAWtmzb;VVzKEt4~X(=H8ZmM
z#rv9jCTS)vKR$5Qhp>J$ja>9JTk{13i296H2VWM_`}^wh{j-9)ql}ds*~E<u(Z7LY
zQaNkS{yCEvuI?I3F6zN*puWF#B{1XlDYJlTM8ehNFNxU1q+!F$v8|tB|0Kdn9hoiR
zD_`B{AOE}_*dW>_3cp^W-62Fi19f;aIp~y0)dQcn#ZLAoq~UonXs@tRL|6rzI=dCJ
zTGZey#hiI<Ua6U3t+jMFU);CRoLPD)U^S8q-4U0AF4fD9;qJ0$zjBVufpMS6fO7~C
zuN9P(ViOVufDo{`Z-qJ8sdx~JT7K5JYLg`B$^J(_)}Nf{ql!*<Gw1eP`34?JMV;*Z
zt9t^hFZB{dK{#;REGL*5t<=VXG$|Qd-w^N<OLw0=c5i`tR-}}T0WFqQEr(G~reBBl
z4nevd#l@g<JEI2iQrhWUjo}qQTL=^6VnlA2FFt>jN_1yQ%LoDB4&vthu-Tk?PkoES
zF1D0woKAzgbG3(8^KXaH?kB4)RkKx2GYDVcNeTS>dmLnwEG$hXhu&qn3gn$hMD)cg
ztK6?$(|k1bMlVh-<KK^jLfU!&3?RRc`I#t&-qez`e1ad#egJ-3U=(rRVx{PN=GkL~
zj10~lP?_yABaxSX|5A^7f3c*(;oHxD*hXrdemgq*?O!&QYan0$&68;>qsmk`Dc?T7
z0fY^h*HF9d+o&M`qe$_2-PB$d)Ej|qB|k_Wl!Nt5r!Xh;v|1->W_ddE=S!9P;K)};
z&OSRTYf*O^#O}YWGyW!2S*0%fsIymXfU&GFzQcp-;xyR_Ut;No$W8hmc6R6HgiMNm
zqA{!X+jww^$+z=x<JdM>UhW$}5b1xz_%)Jn4PkpnDaQ9|K`I$r9~a`V0xD;?0m;IU
zp?uAiXX&CdD?vHvno4d(MA$Bt<6Ra8&Lx%E5~uQ!!if(xV$}W*Gx{XwM#)u=<JwYF
zs7bQoU2<|W7X+976*~!>>6lgVrSNUB5tC}xNAPXoz+(rNkdjyb6fG<)p!e>TTKxTo
zb9TMya{nX;B;lWzel$}0?u|SdYA+kh&wCp9EwFPbK*DIrxL~L!1nTwU;$YuiXu9tC
z`+!Zm-p%u!xQB-mU{%%a2s)b!oyq#+jl-@t@jDTNM%Z=rI&zdKn&0Kx`SN?mN{Xn|
z3Qf~X9_zY9eZ^UVM~@!GlV?3L`6!#m5MCv)&~ZN|O|(t3cVSEz|A4~XlhVR|hKI<N
zeNw3$x0RSrvu9lAcRTJIFWH(!-!3V~fAyvxa1Q6*VNZ6}mdq`61x_a93AxvPAM5h^
z%Vt$FwtpVKKdQ&ukdy^161pMQ`uKHN^nN*?fGbVsxV&=#&K>n^&>@azsT=6ECx_p=
zuxx!NKN`m*sz34I6%pYSWB4KJ5O$_Dk?2+ElnC7CKOswhTCp{fK3G_N({KNYI=b-0
zKTNf38`zYx4MvT%XZQ2m=>-z;9qQMO;!q6>F5`E^12m1yjl@rc)^t|(Cw$3pMGS2l
zss+@w)eAF5Ud-Q)r+-@KHkzHPf&YH~c{FC?UT;v2)AKnXtjcFM4b98<<M-<wWrQ`6
zoz98F!pa1NhJ65&$*@t|A$Ke`N>S{6quRx$QU3lnBdW{$Yd^Mhp44lRe20Jkhh_Z8
zBL`_oij%@$4=@v%BwJYMklahZ5-Ivq&BOO{RjY%Od2L;O)3j6cKC4kPqk=S@txu_m
zU;16}IyX7~nPfI;7xmH*-u*T%Mnqu@pCZBp2)k6H%Rhf+Xdb3bR;cFnQVDa|VBZ{$
z4aVxfDa_6)%gKui{NN=OxClKIOL1AznO-b-B}}3-{FOS35tz<vH>s(q_hGNS|9-4_
z^Gw9Mqg$Jo%jg~9%k;TQtAS8zJC5amxz7WygU|?VoD2)kyXUHt9dG^qoIDnOCRnW{
z*;KMjcpLFj^lzd!Z3xO~N6;&X#XkrR2I0c?SDH5CMQQ>f4P7<|#cJdBzxA$voof|S
ztA59LF`oI?n$1^Og0I=^nM|~*z+X2DRGzdXg2yvcrHrP4(%rbXS_RHHVf2Q5xsCNK
zcmB;--dUtIS6S`%2SmZ^i>pM>9_rN@kG6+OE%bC%=QZ7V;IE<>Xn-|~eXes!X!l|A
zpRk3sUai{7hlZUvp?lgF(nil)e)_!e%fM$hZ-l1ss$Nl9Ruj^j%IPX_;GO<j(Uwic
zOU(SW^Qjbso2eLCcA~<=!NHtbm{YCf%ys=EB7X<amn;hSK}?+-^NWb=^AgJk?R+eA
z?0%w?CS;$=oH8nk|9x!WJFS;x2tMwQ9RI^`&l7K#Rm49wD!-W&iX-10D|lQXL`3g2
zM{vAhES%_Vm`oF>@~{3VlZyUAR$o<lL4jD@H>~S#=b1(87UoCO`nl~(6K;LCR$>NI
zxh8^WnHYC|{|g5~X~OWoAdy@u>7`V1k0`!CVV{cfsg}vwygE{;5aRj`NKTwa{W@Ko
zsy}oBd@Z!8wu4OqSC%42Nq>@vK1l1Y*3z0W@vY3^5iXMD)MaLXW#7f*Yn&^o)e|5h
zX(@g9b^h4>rEuHousa!cq}hmToX}ix8rjXFUx0%3i-T2QS6+5cd2S`y-BF#qeo#$8
zPq@i+Qg{n{0>mHU{C<Dr1rg2PSQiQ+q8C^;O5%)|A#y*l55BR5tbbJ&q-lUYJF}QA
zkF>u}EkXVDmFG{EKcDON546^v;@on<hVFoe(H%os>;#^Fk~gc__%@(&-gA!@u1l?q
z$bf$8V=XHS1TMInYhSCn+?Z4Sm;s%uKW*Z_OxN>-+)T|+6n9Da>i(%Pp16ISR+T48
ztyQ5|E;CbovG8la{DyXFvo{sN?W56Z&T#<>>*Tx^L$~E}8$$DN7#+aw;M~8@Li-z#
zv=r2EiSyZ>8U4XtRjYMx`PhrgO}Xr!$l~zW!|Yc|rKl8%3?#s~K-F&|DrAp}K1tX+
zM&?AqP-liuKPvJL`wS5jWc<ri+^;Nw?NxXW)Q|Vq*TY>D9jt`Gf6%&t{~7ihM?rgh
z%Je!N<++f<kyv_mI<2{BrR7wO8%xtYX=I6oiaTGKE5oHGe{b9r#@(Kk+~<l2`PSb~
z=d;hhaNtAE>>b95%)Qa80~aOd&Yzj7Q~9N(+)~#9?Jc03VZQQEGi$#3nGF8!M0OJm
zds8(t*c8?Re@pKzuVa@rg7^#N&XMuA$(hQO*oDKvewI=hrfaQrgN%;^us3UO^pbr?
zd)2HMVEXist)HVh;G?Ycvn$#&ivlddQoB3$mBnYP5<#;de3^jTVs49%_l)0D;D<FH
z5z9UiOHIx6y>_@>UT-kYg?60i<7S=8kp;+(@UO2=ys$AZCh}jB?ls)tdD5htqdB58
zuj=I8oE?i+WTIb~t#sIj6C<=89jvVfKGfwtmGF7u<9yI(otBv2+2Iq2C$(OsQ!R-~
zQd)LGooi%0>*xidEnynp+M`!2Mrv`2ZEKr*`j3YGgx0o5SLvT?{#xVI^}`03oDimZ
zU9Tg+zZ!hsd7cxKyn*F~XFFd%QW4(Zo_YA1dPlp-U;raHFo}p_BhNi9?evqPwK>-S
zQ+X@?S@4gTOqyEnX^or}%YlD)RYMYYqbqe@1Fl9EYGjPaSJ^aDocd}1n0sn@9k2M8
zXrUjm?dh(9f<KLnMwVY_T7(~;xSV)+dwIKhczU^U9<6Lx9Br7&zoR$5%49lwks~H`
z3AhspPN|IR5m)156T?Fz?Mj6w@ebzyD$1;{{=CD|^KyPV`K#F9Ue|^1wQ<+E1oJaZ
zOc<+R354>?B`26SpH+zAaBjdn0D54SE+2v?3CkOge)HGiI<|kJeBIZ;Dl37Pb~n#4
zg9<I<Fa9#<26zPESe49t%CgrxbD)kbU|X^&-Bi^t8|!f8(c^rTF<Bt?N*_KZa4(K}
zp75I2R}_>w>-Ev`q78N=#=hPT9@fcY`#)T>_#Ty8Jnu>^NKK{mrQf!*n)qxl)adS1
zQnnHK3L}+ym;C@_i@fXIT^kvi%I`fyix>3Tx9Od_^&CuBHj%7_g~Vcj)Kxn1Pc0l#
z7@cMA=p*d{Y%64=QI-GYv>h{YQz$68gD90R$&^`?;%t5kZ5Kpy^Y}2M^V`t<eT}v1
zc3X-C>|u(StQm8n85o~Y>pQ(ZcwO}SdEQW0qrlw7Fohfg{xK5}et(Q01z54?XX*o|
zR;C~ETXC@HxoeQZDWYZ!B>4sVJdSamUlopVp7kL^_8S3Ct#6t`b$0AW)@!<$9CW%u
zIritUdFhJpO3yKk^X^(0zjtM0X5!@v{CBd0n>GC{pSqJx*#DhKyD5X4mxq^|i(9jM
zb8Azp^<<*fP2zHzv3TB9{tqGaef2_D2NXrlJe-RM&QxwCx|oGuxkI|Kz0AzfPpIDv
zO0U60DuJy42l(OUH#>a~svzfqUz2i<IN8Ln<9N48Rl8fRhB*R;ho=*^qQ8$fF2>W;
zq|4lWXN@O^>|RrRqF0&%r5!iENB+sM9+7rq+Dua^myzQ5SkGQThI=^qkuaSZqx4um
zOU#mVzL~dIqdTXwNzdm`qvNj)ir&}BTLwE@>sh-Oa*ZSuE9A8E@VKjHaTx=z$0IGP
z!$DIo-641SP4&YV#RQP$(&vTfkGaYrN5~O_9KMBHxp@oE*ps4yefJcV+*eJp*Ox!L
ziW>H+;0fG|8F6A|#FvZqh-4iDGO-hPY<Xm|?_XYDq&Qijnr*1|96js{90EXjUpoC;
z@j2UAl?5KzTULlu(r9Q_a5&ar{fAD`#HSWL2UX|p$M!L4eBblO+EyRCZ{ewLgx;g!
z{=R2v0rnEs#}LQG=AN@7P>vp8(e(4rO=*GbfvYr#1KmP%{4n3{X2hi1#w2|JvNiZ+
zm(|ajP*byyY1|v6Q7VOZ)g$yDEM6%*1L>n`SSTQFa2dWGi)D6be4QKD(kL0VReWrt
z@>ZW>sQ(tFV&46eI&sEpV-XqrCVS%P&{!`{&&&OH407@Hug{X$wg4+o2_MpL&WJ}b
z$gVsdi`N2gs@JtV6;Dh~P6miQ3Oi2e!RcE_)pX&|hcl^aUy!VUb)SH}1Fc15q_Qs_
zfkU*>^YRrPa_hr)WxzYpjl=jlFg7*@6nBFIoOoVWq9$EW{5JZOVzR(k1BS@y=#YG#
z)*b8E-2ea?yhR1on_@2D0#eXI9MPWyDkG&Oj<~|kVixOte4%s2qZ|;Fr=U<YQknSe
zQeu?&hx|7Wj)YWqK1?N>dlj%F^T4&PNGe=hLN#}DGJllI#o<NM+)_9T3(F&eW^}L}
zfWS-!>e(p~-NJHuW>8bBo`8i1OzgEr?SwpNe(dABFVz16hNQp+T(;yTKn-SR+jKmm
zZzDR1V0;Ocpg(`tKfp0Plkzbvq=k+fY%^f+{{WeS18}JYSs`jF4)(61T{Hgj^qjP`
zCII&VhR*YMe|Z0zTcU^<G(JLmV`H)y`zWBGHm3Z?iO#w-2#_4Ohaiz?FiOAhLI7d_
zY?sTe&L$v>1V9T<!I?!T@8aS@ZeXLpdpWdaE#k$jW~|aRAcV+nya#xmxJAv$i}^Ye
zmcDK9nuXVck5_t_RdYR#mcM=fZZdf|JywON7gp@8`oy7{)++gs=!)<$n)5yXDu+D+
zaF+OxA(7Dbd%O22(7dO~nk?ZOxPko~rHNWPYal<waFlqW6-xJ>p+^spG6D4g|AAn&
zMzOS}HS0kQ8D>Ma;Zajldrsb{?6<9u%)7V{!SImiX!*hSk7lYb6NHvci)?2qa;$_U
z<mm~ILFp(OkD|od-<BD+lLWr}JT1Getrb*dSKMN&eB}7Q)MYjfrr<Goor*wi{0qbX
z06>#@+8d&-JR&-3<SrAx$zKFL5OnAkw7?sYD}Sg}p}BgyI@6iv!C>|+<J(TTPvg>U
zDf4kDBWDuTA75E`cr-7f6%r;Tei?!2n2FEo-4VOaVjO5MQ)yOlWlnse{+KFO3mzjd
zmcI?h(6U-+MB;s!xFfWyv>9iq)pkZzZPe~2D)nKwRe6p!z!H3N*Wc&1<zzRzw>+0x
zKAq(@*YyE1lm4`=;%FLV)j|0E#|jPv1lT2iX4_@E4c}>~J9!WgA}7{168FwQwy%sE
zkfbVaMKNEsv1zuS3obKOK#*9>0fvtUDFyR@{?zhQbQ8EwK+bMYXXF+Vmwh)hPso|j
z)@H3gMm~{BljSyMDNMfm+|19eycp;07-qk@Q>Amt)Nlgetbw)A6W{GQKvy-FzIFPR
z>$3vRUb>*1OR2g!2drL-#PNV96e%<JW4<maCWeB~3U4WMJrpogg)`DBv0{|ANims=
zXG&z_Km>)M3~2(8gor@**-Fg_=33nv$~7`V7Bl8%qWUqnVlC!4*+00j#jAgSm5^}M
zg_GE=lD_gX_~zMH&5_&h!Uf%$C>UKP|M=xYaB$G&2>%y0A)6^vFtWiRN9eNOA?FV9
zhyi}$TX-`ybR)i<>G6-t%S(A0UudZ9-t6nWYtt~QXp5QM{e6{%Z{G@z;jmJL*k*uC
z>U7)0!E|>2jzrxpVbOJiD!Fl1LV0qdqoZXkfE=xh$ZFHjMbl(Wd4t@f-n>Gn$Kw^<
z4?%%<S?vJH=}tX}jR9Bk<FG$~xfp_2^#{>nR^`Wk&u74_<urbmzVrlLbFKVi_Vo<V
zuQ92H3;XFM{4Zvwvu?SL<W!hJqdOeKE`LE>XALz$nld>^<L>}0YuCw7A9+p7YV|Sa
z^pcqb^xV&s;Jfm<Eu0XRbzW`dLB~UP1JA~Vt}BI{mK2oYz%v95#FC60y#wyhTU9qL
z7$mQ*68bPT3bZr~d&S%1sCPjo)tcCcqk}lfH$#^0-WzdfqH4UiupOYPEi}3nZrxgN
zV@i5@c!Z^>=VEydI)5$Sapxbjc&!oj;#ciX#?|-!CyCcvAxb`A4pg}@ez4MV7K5R=
z0NhI8aqcaB2gFAd+|Z|~f#Qquma#)ZjO)@gVP8u!B8+d57c!c!j-@;)e3zxMB4vA-
zsi>*ViZ<ScGCTp)D;wOQ=BQ)T#Dk2m0aBcwqvvO54C*|mCGVgfolsku%dHQvxTkyV
zjLIzkSeh4&zL*0jD?oonqt*FtY*S2Qg4x6&jrg`L18lAjZ<&KBaLLpcKjI`yw?ZxI
z6u8~JM)|D9x}_8-$f9D3txnbkhSD8yPZ;**>u9|$0FUhWtGq(F1TXFTL4ecEKkxv=
znp+;|Pw#PEqTv?cc>|>{u{%AO=<!;|*YOZ`E1M0?j(GS`Gl%r3%u0i>@L!N90GLwx
zr=pL{lOABx_N9I{t0|IS(hwKu(WX|2mj)DFRzk?Xn<rdaLbeY2&{?C}&Z926+D1*!
zA~3d^Y@?{_U&s|G66!-$`{jKwvESQlZEoIeEidYnMLx1S{u4pHjxqB1!E?N?k$0O0
zqMfBlQ<SL(QgKBeI0aV3mZ7;-g~j`SfW%*=ox;uEDdRWecPZ>Np0Jwbq;&LTQZj<3
z0Z$F9jYeMGj=cM!Ak=AQCz%ohtBi;I=o_W#gV=#MkCMbGa+>9?59P}tUvwU^%hPS5
zr%W$hl!+YzrsJ9$0#apFu8d3fBYrg^A_+Ks&3;e4)nPLu2AC#=&JGX#h|Fl0tcAu=
zOOO05iXk@QoNCSJ7GyxUxD^kt3mc4eXoozq>*lw;EYni;Grp&h@qhe-<mibzucHA8
z7Aux8{UHufl<XNT{`dOkW`3QCwjlb6)4Br?y|(gyX{bJ?h9Sy&_shRh>z@8H;HJ)u
z3EAQ0JZs<JVRz_qSX=GbGoyB(xT3}z3&fp^DU<b&q-L*h-%zth@JOMeNwz{$DsW2g
z*H+dK02&8O${nP;??1V&-?}L%(ajqTrtH_yK`?ep(#FT?y=pMJMG+3eC5zGN;ad1+
zkmBU;ye}Oxc)Zdu;`>rYRIu>KLnsN&(53#|tzbQ*2p4|h8zFt5vl^|y0%L*+0nVYG
zv!)zlFRaUbTTLHHg&`u~t<0!d5h^A|>U;SrQ`W{8ZHMTci+}dgY7Tj4w_X>ce=kAh
zb`50L-?SyxdfID1(pW+`F~b@mg^gi0prJcU3*Qcnii|w5P!t{}F!@B}eu4W_zR=IS
z3!8jXEngUOaSl@VJFsayY=^gItGy3?_4(PjM*_Ddb(2~U1M5T9ltL0&h*PeMjH6nU
zptp&~;CqEP<CbKJzcEQOGcwAD*7o3{i{>rQfl>Vy`Ke)JJIwaMa@KfJX~cn9WC&e@
zwTktV(a?26ErMk8S0W-@a7ZP<4Fbnb{Vp)gxcqhYxYsdCDMDJ@;!89;RfuE9qLwXI
zpCozYzm<Aa0zur=DLhhhMQ21Ze?sS-;ms=o`vDmYJ)L}fNx7T=Fcf5&@Qe&dc#S>y
zyJlHAT@_YHHQ1*af1ZQ-f(~+D>yDoftLBilI^N93sfa<c$92sqS(^-W?^H&E<#_vo
z;ZqAPKa%2f`)7B{KX0+UdrrB7&K5P^&;mzW4k%`I?NIP#wR^LsCKIw}<Cnj@m6n6>
z;xKy{ac8BDh~#1BQW$3?myiKz@g_ZvW#WwsX<?QZoidmGGj>az-t79Afavwi$8z*F
zI21dv7R0?R7<c(XbzRP-=coi7$RA)iY<6e7D$MpXvTc|xHF#^GVClpLu}uFK?#Bu8
zj#44C9p!;SE}whD-g^Gf^_2s!7~ClsAelLXRP^_IYNwi%MCIr?Z&<^hlJM64Bad`3
z9daa|_R<`^E|pSFz-3OU(h#xte^}vOV@Q^(cE04}MQA8lPIp&XPSPVM^V-A0>7SJ3
zVD;Hce>Zw?5&^$og9Dm;cItjIKRv3hsPdo&=h;(idx0(kQBg~NN)4wk^~EK6a~C5u
zERS7Qx<P1ts%a0Nq6`q0*Swq;pN9H95FsSJNgnn;+nAljyl4eS?lupQ#H_yo`K#uh
z&w&8`f9WG&JB?!D)W#$R@Q7Q!{u~<P!R1<m?j0^&Y+MaisfngDw&ooEdMYR?%T{Ev
zBsqtUZP%xN`!J-kEI)9Sw1n_biHaPlYjl`7r?2hsFl~oXUmxc=Z!|5>IjiGJyKwfe
zgRgoCC0Z^f?d<>kSwE2)4s&*$%9%NNc$l9obMf|433S9YV@!LUoSc}bzw-Xxww~+J
z-Uc9b3C}&^ZK{|T(oWt;BlupJ4JA~D-p0K^)U(p$tpf$UtRk!QETO==2i~`)H3D(-
zNcuv)l&>O^0AUtaTFT068~=n=rrBX3HH3K)#efVq`1niO>h|q2Nq1{#Rp=)uos%os
zT7R-M7zvk6q~9aIcL-0_kRhPpjo2r%sG=JrL-e9kMp1~2AvUQyl<qLB@5E~}gsh3#
zeG$mgxYT7b%^2QsV$Fw0WSC^$tYkhNb(`%>%CR#vhruYayxJtmw?1EdTvYV+R|JI!
z<9{Bw=R_E?!)j_OMADS5$c$O}#T_S$R1_A|2F*QbvlfLn7O^h{9VwqHK^@kmR*n;2
z7n~)rrg{=4?C@CHBEh3u$rWkPJ|5UFogj>Z`>TDaGtl0{t=A2_=EWT-_Njt5P?F$O
zKNW%-SCorCeyW3{xdbc_cm^8nf4-wxrWm1YQ3Uv93~VWg&;Sy&(#B^dONjh&awU2#
zv=T-20;MRcgRJ0^iXWb<A<00)LrdvhM>SRuqxi+zEeJy#oVybYAMm{oXAjD<BwG|6
z1a}@{vygmn8)-|kFMaR&RulU`8BNr!v#1?)Q01=4do_)S(ay6$Insey1h3bJg6z7<
z@zQ0(I(_Ne9^WWO@xlc=)z^<U1`Rw(2{_CJrh8CaxUyhQL`qwfVEM)>m2t4^>#W((
zsLco>*)|7p&Q!kDo_#^DDf5l(FkVc_dCRD)$idw->9QEY31bqhuKtF9Qsgh;i}-I3
z*hNekcpf|Vpu&rz{=PlEMSUO!7Bq>fqv_&AnHg#p<n0mWeZ#edQ{wt*+&Dc%U|R`)
zSPH<K$A(O~rMr4|9f-3RHKGhvRq*Byv23VnIZ^nqr4yJBK<qr5?H;QCiae=5W9D@%
zOq0}E?DQAfYaUKxVJ{&(-Mn*OT=LX?gHf3IUSJ`B0?O))OhUpcQFG8Gq6VDRmYi+L
z%x5_-pGDJAF3uh({l*tyxCU2veS#R*t4Aemm0=lzQbXXRB=Vq)RV-#s&}~Bj#zv_j
zTGbFNMf0;>@Dtjygt3Vb>VShuWvcUrpn}FNt4|i2w83_UIp5-#7-g{mXMAF}l&}(8
z$=R@B%G)~+`%eCOzf^d#lC&6fQK0iLo@d+>%g>2NZ>)UOd%!RZuF!@f@QI|BJq|wg
zr)d2I4~<mi+fE&`nEeh}NH!9jz@7(A1GUB&h=Yf$Q@Vz0KVGA=l~gg?U0r`LVn2E$
z@CmJi`fmp!g*Fp#t6+Sme>{8##pZ5ga_rVKAE_L)6@fE9qWH8*r<m!F;(&~tJtFKg
ztGy;4^5ek3>L&u~Fe$cHr5Wp<>Ziu9E2VW<%K$DLaD<XF9vZ|}>R^ocHTFVS(~n92
zmEYRr2nkaTZ}&S%XtQp?_0Za<!=t05@&_{!a~5R+e^$gx4I<pOGo-L%cd16jn0;iE
z$DKLstLM{NV%hpBX=@j@9bBJ5#}m;iV2!W&@UFNOuA&Q?8-V3!mD-a2EXDSAEoP!C
zQgzPW4mhswcS@YlYLELDUsqSRrVZ4NRmGF!(Dm07eC@jdptS>#Qo8Gd!2OU()8bGt
za!%hW3d|(KG?jc)$H<BA{P;f4sf;DO52<cU6)q|$bmVvl0Zo;kuwHuZ7`D^CDtO)f
zUq=%Ta?F}LDupxsI6cap<pLD85*8l$*0UE%m?o3J=l%lCG7>$(Y5$@BQCf@P1e=e(
zxj<w7pk^-+0G~-?sD7i)^2(nRiRpE<_1fsiw!Uvyrnuo9G^EhCD?=(ZL*9gJW0pD<
z7LqLb33OQR-Dz2g^U}%cvRkDr-4D8gU7o=?gw-`0>_6TnnZi2`3;Gnb6(SPKm(n2o
zaCkQjB&);|=uUtHL6VRhRI{+y*z>urCdR<*4bplN+$7?8Xk3q8ym*mBCDNOsCB4+-
zbxsO9`ADw(AO4$(A!OE)@$i)me#TTsW;jNZ`S8bVl7ICaO3HR3*<UAAI3|8gcooeD
zm!qcWNS$g7THstU-z$O#Q=20My1kX8dsYHd9x48VQDVKy&!cN(Rx%g=i=8((JhFse
zCI`+7K*Um1RE&`5)$#yZ2nYe>3nZBFVR8Y4G=I;iPg5B0W9%}BEogI*YdU@H<L{r9
zTbICrq6M=WBp|mO`mmMUXiA1Qe%Vg=>UV#s;Qs;dC?Ip=+*7$GN*3V6z{m-^J&2QI
zuI&;soB@mtQ<T&8M8Q?(y?giAA9mr1PaC^s`u>j2cX@JseCJbGLW2c?PJ=N^Cf}eC
z_UAFFpm<q1%2Dz&vRo#Vq}#uAxa7JQ3zl%h%rM_WB(o%gC8c6d@^|fhaKl+S3x;iF
zn>+wEb||JjijIZF8b|<TXRG@6b9{pT90=uGB)7)1m>X~?$$je%XQ>S1<SFZJ2deCb
z8PXqiZ<v!5o|BDv%VZBRy)p5(rt#Kp`FC>2X*^EJpKZyO!ua|@t_7@EDvC9wa*9ri
zjm?(MwxmQ$N9&XLLum@W^kR5%8Go_wWoOXQpKAa4Z{9D@^0#lPX_L!;0_JEZn=TgZ
zudChXu4<2V-1ROU)=AOpg%ZD(X0~ff7YYzRpyJ;B640m8MRS0d8xlR|A}tBCz{b?K
zPks!~tzUqZZ{aN@mm~U?IOXlR$$S#E!?eOgc-VTrL#=T6cykT6VCa!Cs=n&;5V$qC
z``yYox_(Jkuby?fyo!n#avK_NkWn{Qb&d>y!=6C;S3atX#g734(hk97(A|J$>6s*I
zu}pul_mU3h$HAujeJb$e=T^)+mTwLKe3j?CXIaGX4yx(<3e%QaKKeQlBBqv@d?`Gd
zK?aeglZJH<popUMx7~g@dUKkx&BVu15*7z8;KtXMRoMPQ22q^w_O-nNId}HNVA=7u
z3uYEVcd>ivtxg>$AAyYXmC!OG1db+!poeZ-wE(>+uHVDSs5Viz#BXgRoH`}3!d=Wf
zlPrVc9lmj+#V~NY#n}4pSY^gx{{?&^uP^yVZ3jCR$1IVF%w1~vkt4X6^l%brZP#zR
z{GOjXpBUJP2&@W4h>3bWF*Y*&AskZ@P&x+h3y<auDcA3;Nx+%A`ek)=yv>~fJ^}c|
zT1&iuAj1ukt;o5i8MPh1nbo^wMyB?O4}=ooVi!EJR^Z~?H?piVB$6@AU!R`OZ>trH
z{UZYohpeJ74AWk{49dO4UCn<^V4d-`G=q9oBeFA92FmYo0f%SgNH|Dbs6^y}E+~Eu
z`L29E(S1?)3|>qUt6%UAE{PeBK+V!;TwuOTWGe!j2&l=HZ0?oi3nR}sxn&f#i)zIU
z)5=$5YD3Rip%Eb;V5VA%9M5w8gj8wE^}ld>4S>H3WL|^c4|JXBr6hH%6a?44&s>5W
zc@Pjw3|j0qT?}r=B+%A}piXV8Q7nZ%kiBG6a&c*60jH(QqHqF$m&ffPf7rjh08T_x
zHHraw!odN-()A@|n*p*ad{l+NS5oN2<MSIJY<=S5l;Ry$%1Z9FzZfLYrX@N8pN69J
z4`@ZQ<}tpYnC$D*2_nFJUx_!0D3xKbP&`C81x4*VsB#vVJz35*q(Ds5OFKj;$@Ry&
z1%+ChT-ICxDtkxI8(lLw@bqn7_aN*#b6&|A80RO0v@+B{kUCp(pBxBg$yW<|B|}!S
z43&t*v0eL$(yx1eD7wQpA4$@8Aa>YxCyF)Io6t&~zkjbD6+@`;QkaV8FSmI(7CxI!
zrDQy>8nVQL@q$(#`$50pUBP@TLNJWop)k7P_7wIH*}8Hlhhl~#ab6u>Wc@hjqcrU9
zMN{uDrDH+{5)t^AnmMbBDFBH?<F`}1nxhRgp&UFKkKpSQc{Mqz0nqdZ!L<&EX@KqI
z?Nf_>S@e$ZJ2O{k?qwcoG*4i$HA0}zp8A{gL~nb*e#0O@INb^M0E^XjzB@rykTwxB
zs@-ifd4(1L+8N{%8HX-2ISn0HFs;APZ4*LhjQg-L=~pl@mp0*&(=sw2a>*$^Vcw(a
zekuZ<b>exVk<rYyh8%QgsO}5Hhbi4BtGA=T=VHx-4}4GdSwo+#i0qhQN!7!KK^hzD
zQpr1KZi~&fwG<UW_UwISfPc)C>S_qdI?sNQ$dd%1S2w^&{OMcu^G;D~o=BtL<Lvv<
zK9PUnYk&F(#Nws-c+Lb@KD<A8Ye*n}-=~364c31L(@5q^Df2cvPDVUTs2f)C*70j5
z_|U~678vPg>Q;ixbZmSND*cYmXzvdD`+qPb^v&d2UG4<!W6<^1W7(lQ)>B1NwXRwp
zJas>6Q@_h#)E*j!T-lrgx!-B7nxdJRqBP&h1cBWe^!Il}oFr3vWgcK1gc5psJ+LU`
zT=bkb4yV$50p3zFJ!B^Z$ni{lYS(r&Y!sh>D@0^w%4Vb{9{ueK%z|ra{l5|SZa?Qj
zT>Y2@K(u{)cNbHr(E++CcGSUV?EyLm09`X&#}X7j^bfd=rN1NDqme4V1$X_bbZbCL
zVoGS)r>_I(Oq~0Q8v-_7NK$|S7g^p{x#me1rdZUmpRGjj`pKE0CQ#yR_lP`&b_sRB
zyp?Q*OCGs^I*5_34DW%)Fj`ny#2}B~79uQ?J`KMIBal`QRG2wNfJb{AMiE`>wO~o6
z;u5bzNoxhF9pI=-hWlfx_|9UEPhEtH!(#I;Kw{nwMlfSfan6RzoN>cTga6&IKFe**
zCIY-O=Oy!Ym6>2*U^OLLQ;LDNDy*(PlXhLRPeY_M-7>S1%K!@Z$vNv8M|E%pSUu^W
z`LK<ps6`Qq)8bUb>SyR9S}6ZSP5h9struqbAUR#p%RO?3l9$T*4d#)%iAUGKMc_CO
z7R*~0^6!)kwx?meeQZ>2aC})K%GDs40ryFbBQ9dsBROVm7dV{846A)fA3Yya&0QAW
z9h15f6Jw}!9+5ozwe();%SOvlUMAx0gpT2hx_GdrO4Dt?$SDwqyfCZKSWPX86wQH$
zDsmRf%*GWd2s6nTD+Eb=d?lbQEN!=^F<dwBmf$|>n0m+{eLuGQFn<#0V61{!`P+(r
z^orrf@gY7rg~g-qqu>GgmQgY2PDVy%__0lXIAdTQfgE~$m-LZrW>Fc*+>@z_2|}C(
zt>_#!LOyDpr}AL=I;QIuv9&;H_&}RrV07ns^REC`w(Bsu_bfDKM&)M9f_K2y3}K8b
z8aI~DZacAkKa%Y2B-Y#$R9-XLiIG%<yk$3b9}Ups6WF08kr;j(I~(MAy-O3~ClTA(
zExbsmu$)}KPC`8E?pKe@?o?x5q(QOQZYn|({eq|iO~*XaP9%}twj)^9B>Fi94oS_H
zw`n>JtfFe;I<)FyDEWE2@wq~UXW(1evUCi*6j|{@KLra&9#EvbVdh1qzNrVzNpu7o
zAI`H&;DnALlKaKo@jlB)-tL7k8+-;ZG9S|yl?uG{65DBs9l@h?P1vTuOq3SkK8-J=
z#JL?8sYoz=A9Apr-vxuStGiMyOcEo5T5&8K!{7xB%sF*f#Q2Q%V>8-+;1|UIqZzb{
zeCIM~#ohu3KinH0k~nv~FMDl;WaA6+r~FE?%Nl<$XJ-ZuI~xR;)HUsWk8c>_{_p1q
zfAs(VpG!~aZ6Z6#i>VyDJg{}pE5r46Xw}6f0)xXF=F&V;&+C0W7+|59!}EPbm{VQH
zD&I@n9s&L@BW%Y8e^{>Hjk1LIMSD$y0r3gjm|s4jdx>SgU5df~jxTwbf_Wjs%9**o
zW{z*e_$On=tbMrzN+54KgB@q9w-dZJu#5?UCUv0t@yR&LiVJMMa2Pg(swOo%+Tzig
z5WZ}7{P)6-cCx}l`*Sr9r1}isI<$kTqdVo}<L)~^TK5MmDuTzCEBc&I<G_PS!l3AG
z5K)oy@y6mOyTp*6)9{S|W7D^J0b#tCq4&J~NA3H=FAeL!;(iPN3c5ZS1T|FLcYGzI
zpPIob4h|8KUjdutGU(<Ph5z6JGy|cGxdL7MF2H>c?0^j0?laJ}h>*%L;R7r2`NmPM
z_jpvoF0J3Z{s67{w!a=BlhXN*`J?VT_v5$iTG+t%iIBWN?99BnAFon52HY@xv(*6H
z2s*>uR$2hn<jJ3K`v`Gqu%Xa6dNpK<g64nbpC|1$-_*VvslumUY6oZBCeeIRa3++5
z^*;y&b=a$SKWf*HZWU<2_ycPrg)az)OWmU;K8m#W#AE<t$+Vk+&!`eLz0_XU^?MIo
zih74Su1`lbr{eJvb1VOw{^>9mf1xvJ{1`kp_niri37xc9Zb%6)Lx-=gfM=!39J`#=
zbH{h2>`?Ql?wGp|8ROQb6M0j4FnGy)%C_lq@+uGypcXG^@@hODLBqz3i8rm!c{Ry<
z-*tdyiiKHG1Agf|Q%m5Lq6Hx=1s+<Jq*EYC0M4a(4;6_X>KGE`4Wmcm$8~S~>3vdA
z#r~k$wzJUh=y>;sFWA4u>)xp3@B-wH3>)Jkg+d-38So;_!!hg>;JLRa-dqJhH8gRU
zE06rYtp=CYDs1r9-2D=?0z2yZ;{;aAfE}La#&8}RP!|Io^@4$2AW?L$(uY&+&FvV5
zLB&V4!m^D{1|=zMK@AL?Vop1_hS9M}el#uU?B~ph4&a=a(e?xo4sXC}Pc-_l9jy9k
znJlEY-?{P$OJ-i`SEu(i^?JMMeC{e&)30+B3qZhPH35Q+Rv0VehTyJXAS9V;ilqM=
z1zJ#07@uu(ebG$bFq){{E58N4ev)GOwrnW&Ud3&-SZhfqdmDy|8My{s!)n{saL8JI
z{Wn7Pn}Fd%|Gk&vbZ5XuihL?~2Ec0B1A>V%hY%C^Q`z>Pif)2RRoiYw-t_C;_K641
z9X&j*Cj(^uhxF={5QHSAUSYM~C^7iMWuV-H9}`4+H^C0u6R+Wh#JF=e;PBlKuH#|2
zwLlUrM6-k!v=@}eBcG>{wA4zJMZdWo7y9n-rG6DS&z*$Pb)6TB!0)Lt4Dz^Y<Di6b
z^(BlSG)9^^25eaUHWzx6R8UteH01+ssBU+1E<49oFjl#J4;!}&{hfe>TA`BDyUt$M
zAuSZ~IZAr-1eCy@tjF^u3a`Oxqr{ipMma&HIso`-1RcI$#0)>p#!0t+*fVA6_iRtx
z>KlaEWxzqxAQ7%Wi`i=fZhP*ab%KgR?`n>Iw&F0Dv5!GR6cs;(CQe?HxeTk#^Ea*@
z3^I8V{(^&IvGKb?V`;hBR$+LT-73C&uV0;7d^WIp2Rm+w*N{GfzqMS8;MvU<axUa#
zNtFUeMi3Jk1tnSt6wz!qS3SHApp#R>d`TPNZY={-`WmYTS|fqd83!@FnN?f<No0dF
zwxCSmvQ4BJ{$K6wA%>)gzF0!W;&(oy44QDwn{`fIVPdE6T?I!p4o#pr0*PGpK}|hg
z*OX#pr>b$G;@4S;!6Qdz{Z+-;Gn#?>iZ!gUFqdCj@oOmQgg;Raoa&WVEZzgMpU9>|
z%%hxJ@TsM%$vdTQ*zt0Szxze=uh5SOM`t)}XDdH}B`(`)GoTg(XZcavg$T(HGwy~0
zc$^T;HOmTR;iKjmuq@n`La9$&2dVFQwmB^D`lN}2{-B@HN--6(U7&agj>;aMxbtcD
z6q@+J0x&T?_A_(Y#&d{1dPVEr@6-A|0?>Vg)Eb^8g1UegfqqbJ`;DWp^6qvoFhkro
z=+_>ZbalL;mH2OybBn~7qe%`#3m<iyO@Q0nqFVTSo@x3&HoQCOAe==}jNe7l-VMMj
z4c3!|`ITF>Ak)TXf$9*TltKk>;xTfXbS=TW;wK18?m)$0>B0$)|K7Tpzicj7kI+=f
zScU6<iX8)|AfpTf>nF}Zf&GsN2D$D6CYo02-Yh(1-He*pcvkJ&H*D5tC#D^GRiDd~
zBqLs{^e<?*DQ1me!`__MeYla<3Rk@^NPA57iD4B(_AIq;qT?^P=d}&K_miaT^80Cr
z(;lon^K<TDW3<j+(2I08Gxq}sl11W>RO!_vp75?+f;K}g4Z<rScZA`qO^K8OBcGFK
z{@YmErB`15yJoR+K?Q{JM=UkZR2sG(f*=~a_X{DfhI2m+>T9&JKqKY;!>`S@O{P5%
z3t?EC2EQM`mJKZh|NC1{h@dc&m%afJ-L9RII1ng;2FI0>@4+3J+FscRElxOE>b*qc
zCi9x9_I|=K9_2|~LF-zyEx%_w8#15?JlEv9suXu^I07BJsF7!QEFz`K8ifR@E{0#~
zJnX8}Zs_0=Y%?F5<UA%QELul)RWJp{-6uruT?xFRUm6U&Sl9+<dpWv9d85m?+g%5g
z@{8%jJoozXzg&boW{NIqUvn4PI_F=^d>h8z1SYz)sv8&Rz)_$FF9NNZ%fAAjR(|+v
za2EnjGGWNW#1DLv;!VJHQ0a!8^Y$!}|8I>vhDiz_k3*L@cq{3m>E&5jzJQhkFt>yj
zCas^~ZeK#sPhA*JuviOxJxk5_oI~wObQBTN`7e{HK@^4#RFwKX!q(oqH|TtnURYp>
z&6ujQQDbnDzTT^LU?sP<WDXgH?OzEW=M*<Jo`UT(0yDJwa&+Ulm{~8he_U?N6*Leo
zbQ^gXRX^%7&P};WoU7Jm_H{YFB_WV8oc~^KlCsD)brL*F!5VJCfU}MGbl=TUO;Wi@
zOBl4=wUC)LyQvp9=CVuB5)pE<OZC~%O}GzZHMS7V#?kZv+YjN(D76*yQy2tTU*wIP
zuw=`en9u4id~+_TA^Jg?*Txe0grXZ+W8a-V=fTnJkbGG{1M&xy=KU;$Aft}y^iQ|%
zaykj6&nAS((~Qbisok=eA47!P9cV>@+TY0#=WbC|F+T6{L#gkE;c|7a|Dy5VPic0y
z(>mNIqGs$zDTE4#CiqZ4Mvm#gl**24N8(Qb6ioxaM*_w9PD@c<vlyHV+NHaL*@)C5
zmdr(x=sJ?=nz*4eU%I+4WQIR_C*%-!w-2FMrL8ynwUf>W2xn$pTRa7ueY3NcM$NG3
z-Uovhs3L-=mRhsk@!Z|AbyH+a{G^{q<Jv`E<nK7Y#=9#02IMMjKn{r=9(-npu&C8k
zEJF0dR<3=#jKE_OvgbbZ5nX|KW>~Lj!^DH`^6kryM@s6zB@Ncnmx;X>xp7l;-LGEJ
zV>TpPzJe`{NKmLTYT^}LU)GulMs!D?r4f;+F|JWg1Q4ii?0!6p${`<7fEO)oyiQxg
zvSE8bpL#&Fbqm88SxVkL%Swy=Ds~T7p6jP^M!Q7``N(z3L)VL5vrYae4lXX{sz>1D
zrVC$bKIH*6Iy_^l?0}d+Ewqv_38BgBek2BNrUfnTXwgp2CENJh`kX7qp3U2CL@F%T
zc#;riubrBHg>h3(;k>igHs8A>-rgl|mEPjTtVK@X<ZN6?tlz89mne&QI{n!4MIkXM
ziPZy4oo>Wa8A@qQDTk9Rai(-@e;d?iwB<f)z+k)3qP&s2BqX)X`KvUqjtt52vsC2K
zURqRgHkB$Y&c?F;<Zb&K-gKtnj?L((g~eRvzNI1$<4D`bkViJJo{6x0?#6lBa3n+K
zu={dgPf(^>I?=tMNW(HN<fUKEl1)R%Dou_KmkK=>OFQYGH@O8Q(_%{nC5XEW#}Pzo
z$NO^xPDrIUJACb=I3#Ex4V}8FM&3r2^j7W*{?Fi8EHP_1+;>kPqTmE0=@PG<Bwv~M
zBH?)PGiOp8Lpgy2Lq<3v%r(S}lO@rHtu#Z{(kP*~%p+lF;a<X!p=bv<tBvWurM=vY
zlnvz-_^Ag&Auz{q8q7DuU@Z52g`R9*%MvEkGH!N^@0FM$Mf<dhAW-?4M06OOpK5p{
zY>d6CXSDgVmbFpfG<=TP#GL^mZR2#F=rB2f?PATGqjx>U{dM+*<vM4UHJY&*=CD14
zuI;=q_>*lG<(_ndz!UuwI%iF6dJkXC6t6hnnQyGGRX08fk4MKHew;9Z%0e6x&&t^8
zH^`y<)HY{7p9|iF_?&DgMBapNoypm|J#RwzV0juaxSoX+q3&Uj^=IFu0?~|P>Q8fx
zRchk7;%Yy+=^}4ra3S7m<OxW}Z5$~X{=aDxRD2xzAyjC6RB?^}FjH2MZL$YSAEEG`
z&dXIJ?3BG$ac4>dx!2@l+5_&C-k(N72Bhz@m6CoOOuB-;&PefSU?YayATjQS&t4Y#
zAFjSnx}cX^I-fKt`+P}HDdEQt*)&}${PVsR>A#*gVc9rj7xZ+cIh19uMo5j1(j0H4
zV>4IUnVQ*gb1&JQd~aq5T`wWYXxW>{==esOKA8v_P|BOqR}z<#9=B^mPEy28Cjb;+
zGSFo<*@lkd7m{4huSj6kvX^+ZYJ}cWZm^iz?xw!vQ%{&(zu+wtkITWlWAkmu$wMfR
zdbF=LWt!3=_)^MLFGC}ahHQr>>8r`&R>lqg9}B>zJbyq@9;JenGh`jJ+*ZKHG*e8C
zU?Xa&0Ww`LQF%qfAS4uU>7~46hLF|jqW4H}LRpa^wz%IZt7$+ypx{X}v$NT?`+$;x
zRHQ8uqgWU8Q@rsj6<}geBC>uu%6|LzG`!l1enP!p8I>x$2=p2ld0<b!n_i5z;CLv^
zq^aJdh*%8bj%YjraT<Qlco~ebjO0;nD$;^VLy<f~zjSF<&AsH%FOe)bH8D+o96|X%
z9cg$(?ViFDlWT08%<e$%lSm8hqS3=E*+}*1>i(k7Ugq)^#QTP-B1)9Zl@%?{<@7HW
zbVp#Jl?)*(sVfM5vse1CRLngMK3QOkC&Ww-79No#RFr6Dp1(xq39~E6ZJ=a)=}m9P
zVT3t1>831FSpddx9-B^x;MTD+Z+{cv4(DXOBQWhQ><erQDVJYyDix6Xa)&C}o;V4#
zL_2CQDMFS0rU}tFH`JF3Y|@IiHRE*Cy#s$ip!;K?XhG5<j)ewYpVjxN^h$WKUMv&5
zCN&WjmwtI<WI$(^lh;I>HaJIu`3^92?zT>Dh<qoquR_64)R<j)0C|Ag*VvG*<O5yf
z`xYNHHnK6wVo2znOSM<5B_#4?#yPp#st%)5A#ZvE<hq5}_+Cok1szP8DP-aY#w3|@
zU?fZVXJf@?z#X%Rr$}X0Zb~q*2C!11iTu~yaz3;%571E;TCTz2af4Luc+-yk-z%X^
zEjK-8RU&l>RIzZEb7!3=MDnP~)E#PJIoYyA7x4xe^M}Q*n8tB=T05pPRm^HCOwx2%
zu;b6lXKxZ<VYvZB#%}i|!Z30T@)>s}LuE{=PKJ4!x2V0BG>ve{htcN8oil_1DDbRA
zO1+jhx?ebAzVDnPpXm!^kVRp1NGhmYX5~y}Rk#P`aNpte#glDdYy<i#&mQU~5%r+c
zANE*!hA=ez@4(YWM@s^8nonNxOk^Sgd&M?M#R*P2e7g%eTaV<$1-BH2i(#)7U3~kO
zSgTm55xrz`kPh{Tm210coTr)${X*0wzKT&va9-58_CfW&i<i?|6a_t86S`t);Fyfe
zl2q*q;cAbjk;0gihXqfELVlg<+_B5fC4WogoObp~VWWUVc$1OA4N?*S<d?jB#H8bp
zDE3zk#-i*y+U-MjRT|`wFFEE<l~_xA*~+*EnZ$<Y%toufAv3>CWw{W=z<O<!sV{Rc
zm8Ihe7Oek<0|=xftfVUj_CTIxD$GZ?q~c&I5n?&a1jS;k-Jhyzjxb$AU!vuD)s}ok
zEj-YgA3cA|gmT8>N?iA)@Mu$tdQ?&mi3k~1{wE6+DL{{9#z?YeqKNjZ-qiBae<M<F
zLjGB;iZ@#WO$Hta*jZSjjD|p`N=^cOB)MxhB?V&s(!&Df)1gi^JAx*U`}#fw;rf<^
z`V$jFV|4q$+z{FYE9@OHFEU%|B7;|&4lG{lmZz&9lkoID&NfL6C)ug7v3Le{s>X&`
z6Y|+QPe{i*7m4A=*p6ZoW%;lzv>rcB7>6_I+ZaS@8unPwQLMIf)3z{HJXEJb*k$C-
zzJkPKvc%Z_>3?Dr`*6VyOkf3u5GYl7I)7I8&#~RlyyLo6R*03vSW)3~CPq3VvmfCz
zx(a-K*vu4~x%#gS_7RtQ3U@w`#=Q6JD!Eiu`9#lST13<4UtXCuS%+sxFivxy&SHA5
z&n3kv6<b%|=7fFCF$syE%S<Z{Q5XX@__#*X6dCta202NS$RRRW-HBElR!cVuFTY`h
zSd6#v*V651<q(1Ci!#+|jtHrpbVQCW7tkiz`ycDdMRcIYRsBM(fmsOoPKhcdQlA2m
znA~2@@_eO$7dam=?K=i%Cx^=!(-$=8u&}`{KaN`TeDtONK3zto+Lqn1Cc{C<$3{yq
zt__shB_zfpqQA(>m&jLA)E$8_{Tzgq#3aY?Z6uGj4%gfpR1E$&69XG*R27vb^ty~U
z6odT*13A+y$s&tJCS$<eGaHMd{(G^kTDfoklc0Q{Q=W2Baq3INGV9Ec_Yx=b+LC2@
zx3VP^^W|%mIgB@MAeeD{jNK2BDUA5Z<Mz_J&{xiAEPuZNiv%bc?_euoh=1n#3B;t;
z`SrCO<!YiIvpx+-@!i%>V_}z8FAj~wu?85Gcs~WXdsTM)_m4Uw=(6oVoS^=SL0`l-
zzz5M!72U`!%%YkbF?x4o2Cp--mE3Oie;?wXZ;r^bD6G4f&F!vz^sLiT7)2H(g#;Q^
zM1;^4UGsOLr3?Ot?XQ5U`9<*<T+5Hjp);ptjLcGSm?=@}l|AL{uVDeI+IrJbn<9gj
zLcm<wcm_uL30u~<)NCvKm?9K(M<#w52VLtO#q3ZyO=nER3{>ofl+eKGcus1RfF25m
zgwn4>j`SN!<qmT&jF0HxIxI9$RX%I7Y714^TNldw@w0=K4#K)}x)e@{6Y7FA-BE^+
zu9)U$8={VJw#6Cv*<pUk>DjCWoD3W+G^Nw8UyELahmduuWa%9sdwM^Zrg*B{MdaE-
zp6UziyaE#13%}1GlmdEX6YFw1kEV!#3hg1#dpO3Dk<KZfdP@^A&Y7fcdy0hW$r^Ds
zQh5kH0+-;*I(ED>=cyu0`l$)w^>}U-<}r5+rh1$+Jb~5~#Idwxg*xuYZ<ZD68tqpT
zppXapg+?Vw7^V5q6mV`~9ku(~JRsz$1e%nj$CT8)NUzjf{UBuWO}m}lyS-og3+_N5
z^hxB~>A~&J@^=-1@W|1$brfS}l>xhy&^M16+gAlqqv_-_>8sO0H&@mW=ATF3pY#RI
zid(^aig{mPNsVRR`5O_4@i5KPm5Loph8d%(2F}U_SsJFdoOZZ7p3YAg@95O^VXGER
zJ1*{Bo@2F78~5D&*76NylAnCq405Wl5lzI_46b+Si^0Sg5}nk^TYJFvxA{eI!H3~O
zj>i;s$37-!D;|Y{AT&3SRh0?N@v+BeLYs#~E0IOE;cx9hYC2w8Iz{#L735tuY-H6u
zwtwuUs(Ntw^XlN~BV&R8qylL=ZYV4nJ$niSHfAF@qV`sC>yAqND+$E2ToHHX0I?l^
z=NN7^?u^csaXa=|&WR`g0w!fbu!qq7@qhKYzd~d!{rXh@r>F0Zr@DXtN9fq+7}?_(
z$I2dAnaAD{DSIcCl}$FM>`};wgd~|6NoEd7h*Bt<w2&S8U8no={oQ}uf5gK%@9}!Q
zuIst3C;wg_w07r6zJf~3UDh#SuZtxbMDM=?2cE>)cM>C;HHMv!1vGo_`$H>U0{UKy
zP`_gD+sCwH&WcWFjDG&J?Y3XQMoQDQF(s%ti%`g%udHp8@&O-fUIi9j%>B2bexcMe
zn6KXls<uC3cLqi^m$&z85$z>MRT>o&pAUjHfQU}#TPHw<dD2Ue`{FmupyloCjAG|J
zQt=2$*e7thFzA;x&^ce`Oj`{90oWSCznT>$bDd>77@MsHls&2NQCi$DxZhixV+sLD
zH@rCRl*kdNktm`#w$ZoNfLb+PwwU&u+6BgUm;mpu_t3deIaA5JJ#E((0Qhd+t`=QD
zlj}exI8MrbZ4TV^b(tQ3sXPF~3$7a4Mmviq#4H26=iF{DCKgPJbt6w})d9Q|Rxoum
zK!B=SBU+QnFk$!?@CZ`Bqi!lf<#VWEA2f4=5S^WM3E){Uy|Br9>y4bIoWszQtR(TJ
z1|RRQgb)~MK-&7JpudgohX|r3Kt#X|b`yf-)5P?^ic%2{Ts6R@tM8vo!3qqK9k2@A
z4tXus%mH^5zW>KsryiirN#5ohY$*bu_YO(#4<gz|zxRhh6$jQFq<bvhU_AiqCdQV`
z{Fkp@9K-wQ6DLnq&`mIrX!G#g%+n?+`|$5cD4-pUV!)`F);OMUy>st`NNxE3X7F^t
zEn{E$ka?Wo7^(k_U^|#g6$vw+(`_s!OSP%GJvA~*hfbPLmK(Ekl_;aNC^X4uaIx%M
zFo2q9pG28qGyWNj@0N4S9|X)^d9Ct+cd=lB4~bWdL-<A?P>;xO3?2ANToyXF<uW27
zna)RO2DD#O`7ka#xtA;6z-S8ylUiliLM1eCYJ0OMIP5<Ig9=p64%|2(sktar<ObIH
zc<kNxcJ*ZbJ(fKjQMHCb_8v>(1=*u+w{S4Tqsn_C2t(ta)Nn06K!1hN_H>>Z1fE1U
zjq9#m;74F~XqO1&b?;B`TxhHrsOj0gRrzhSW(iLY{BGcR;!^bEUxG>2IvB$Npl`3=
zbrK;EHN&cC*SQLi75siSbuD(WDd$JH_kil3?^%uIPwpFKAk<g21{-2)B_Yk~!|a6z
z_eAL%^j0m=5%3<Br{#G413-DxI{iUHG-fCPXns;~)M@hWRK)l?C!OLV694=`nri3=
zyP&1fY6dHTL%m8<PqV$k5$;B99uouy8$Ifz*Z}bf^4vjLet!U2N~cavkdU4Dl9350
zZa(Gk%W~;<S&w2LanuY9X-9DhVkK#suYWP|30zzlezw@`{c*nfYbg70e{Jip+V4(U
zZfqk3y%7pd<JG0{QT)rJpCsN`AqeXUMIxk7nvW~Uw;zVf1IA(+#)JWh<OLj^d3{_T
z0mmwR?D0y-u1z-6xAH9<6PDm#gs3(l<I<rZ7>J~qs&1AUJ&jGcW+{0Yek$BMZy7s+
zWuxjDGGSJlST-iV`0k?zgliL6-c`qHJRwpoNzx+4VD%-h`zd}(^Y^`012*p_o^aic
zCn|84ue)GuX@e-kb$+Q2eJ*`)ws+jXU%u)TdGDT{&+0l=$qy)ly2|(K-c=|GD~M1N
z5qFeG79Vb(aV@7=NdKie=CdMlUk#bc4HF>B*MV7xE00U_<ifcRh#Gk6)zf5@Xw_me
zbDqV>EUYmUn(JM7$Nsv^|3fyy`UH3CaG_iwXWM3h`)a~+LHhiN;{x@~4{|-zs;Xc<
zs;wODdh<hea>P5l%Ky1g%JCO1jSFxSc?gs*pQBB#3G)8VX`KFk5!ry1<WqXL`BmRf
zO4{zW5#3K3jqj`2@?)Ozuo{zj7*ApI=6PqcbD5i;tWiaeBU+Z2A6@zOgs{EB?g{*}
zAZd%<V!<f8pi0vzLP1gJDFpZwp*qmyd5J_y$h_Q9o}4gn<~sdZJ0+n5rF2t!V({mm
z>Z&#Optb0&R0}2zM#LB!7Pev@&`YtB4(==I1cu~gQJw2>{^mAwA%N|zzdhSyV;;op
zPW)9$S0S2z=K)>`_;3%-c@-|6+m@Ko$0MIG83QhHx0?gn`(c&T1YfmOzCb$3)0$0n
z$}a^&Dy^yh>h+^JsuL0xB&FkFj5Ez2GjkU<cVToe#*>M=&?Qxo{ET<mYB%HL&=pv4
z!5j0P3GdXokh2!XNEJGo2`pkShNxJbM8wZ*R%7Nat;-h*FTLEi3$Y9iMRg9<iDa5?
z%hLymEoPrM>B5+gF*b8<nl`XWe1o=q5gFIQf1-~y@^rUk55$ho61##&t+mi-_=cAM
z^Fzi54RYSdsqE5Jdy434-p;R|ApV-Os*i-VSQp!H+A8bt5eK<F<~iR>%eq6nTl^s5
z??F#e5uHq(ro`~>kf_l273&_}xS_s^EScyM3`4jVb#lT-vy-<|<5s{b_~2$~-|Am^
zoui*ZRF|4w`>-af`TFSVp%50@!2aF`gHv`%-@1<~q~~mTN9LX~NLvVz84F_KmjFiJ
zg5!#L$7-onJL<_-m}YTp<^JgJQ^cueq)Sk2kP*|KkIcPcRkrV>0B|ZnTp}yFa;Zsj
zUHT*Ej?kC%w~5;aMs9v<+dpTfw4K>FgcncI66e#^y4Sw~`HDP@y?B4=`kOL_rZ?my
zpp0|5GI`%Sphh)b-HTK~B?XiD<W<S7GQIriQ|XL(aQ?uY^&Dir@EYm5NWq|<;)mDM
z&#tmR@8Ke=C1c}tB$W0kN|@d6WeKY1MvQJ=fq{kC>Z$XOtsZ{C$~B~Pg1C`FD;$mw
z_b{Gq2~an5igDJDUEXk^J^%P#c4H1D4GD~Mya}q+{$y4@b$S%OwYMNb@$cbpP$_=t
zZGFVQhS<}0^F#QpJyh5%yPvn*{}8xXf=UOzT>kcXF(Oj&_H|A9CAe#Jj;CqRq_zl_
z8$-9n+wkXWv?j>(ZuNtfJ(WYz4+hf<ueolY_bl9Av~s59^Y2YU!PY+@vbUyUjo8z1
z^Bb_Qccr*#@idMS9|0f5Ch&PPN2{MOE#!24xd>?#5qnqQDhD-@7fnV|lm(~E#uM5J
ztWoBjPI8@ZN1!1vIgl@=@)wojmUL7H%CZc{_`&qPnq|3pzpT<%ZQi~-A+k5T=B3?)
z(g+@0ljkV!N*ng;kbKRJ+3*5T5GMIernc0Wf1{Kk!NGXOhKZ8=B>k~W5KH|AV)X7n
zHdO(K!BDHln_{)%2w!9Uv^tH>lOhblM3yd2@cVlD8ZxM?ZUdMr+J6M@#!pcDI6K`4
zm!Nxcp?^2$)JJsff?%=X&fdnt?dobuO&)dx4?|*7K$Qz7wNy(El~pDnV2~XQr{~l5
z%|Sqh<S)k`o*v5S4Ij)FKKirkq08g{n_)lvLK7Wa6pKMgDkQoE;OM1<t4W_PL;JG=
zYJ@8vYGz=iP(3d9yNSw`@t}=5p*-6_b{tsqIZizv;bRE}hnhL3OkL}LH%~p|<$5=j
z=Zo79E^iFrdO5`1cYn@&q#79fq0=j!^_48f5GGZEN#L}&k}P&K<*iK}{@r{kecC|_
zu^_sR5S(aZPAIm{T%%5V0-Vyv3-{;Tmf3X~==cZ~hc0&njC!dCYMRw?|8jq;jy%$;
zSd)j7^j28gnwjy*^J@jb@&NQK9*1eO$9qwz=DGK@SW#VYPHm+l)a4(^GID*7%#MQW
zkPJl(y#g=agqy$ER@YjdYi(`Tc<}kw(<N}lrhRy2kRy_F+GZ1wjDuhHA}dV9W%5xJ
zWkgi%Q5@TEam(B{NQb`OI_F+@3T|~oOXT09T@cuD`g9V**d4*%kOP{t9~Qk^fwfmT
z^VVKVd=k`N1NMKPdH9fDZ8xxs++TwFFHy`I^9pg8(iHONayfcPuXia=l5fr}b7)}o
zDx24mGD#fUpMJID4WPacJ~t>4IDSsT$I|TtxGvSu-l%LN(mzT%P5Xp}H?S1#52QD*
z>C<x$Dc?ta^eIkdc4gEmk+U!r-fM<<$_bcMG2rkeaXIS{UOt8g1r8yle|R{%B{0KE
zz1>@!Ya@ZHg@bV|i(yI0n4Tt$iZQL_BUc3)xn`)%8_k6HNd01nD!zUBd%P?AB9MRB
zEYXV>^T@E{&rjtoSERFgKqQQ&termhVRz?LrYL*w<K}^ui*DDiJv7LvvTc=?8l>RS
z58!UK4?=VQ(M_|&VA0EOxyGfkNGMISEpoEAo=~13XjnU=t|*{qv7L9{olmS{7)xK&
zdi^@CDghbym4*JkYzq9W@8IP7GhKs6yiyuj7CAB~b24F*S)CxUk{3R@%;(<NBFbW;
z6zycJdB;lfX+KrDAn~}A*3P#Kq_=(yAUc%hbGKf&l*jV*3V4)eY?fI#-1v9cZfJED
z)Nmv`f}b_42Xj=JP2pR(LKZU|ZXQk4ghCHft5|T%{S%Z)pz{1giHYT-J=9MB3rUeF
zIj+vQ$NIk9P=*i>HQbsKiQB$?#U-_!ijT{?!e`LwPQ$esrS|mv>`&T^zT)Mk#ax<5
z*@vgmX5J$H(1h+?|83W1oXBxIpy=U^s!RWB3_NPKys$iIDBzSc?S$T!&rn=WLpp0a
zq(Ydg9W~l)LSG(}r7e4St##=R_>-p@HFcE+%q&_0zMk{0kmT=A_k~%-jF>yQ`9*&t
z!4^K$@Be#U_H>PPVDdxzupdpJY3hKE+&1L`9!lrPV2y*#*AjKx`gO9FjxZoAw=~AS
zk2>1faHxb#|D$>|d$@et`Qm?F#yVdo@#>phpIZ+{1qbym6#f}z)|0Aqcxra49TvVX
zy=_N$NVjJGHK~!VDS@AflGKw>8vnR3q7*dkds5)8tshPpJBnOhf>DA=8Fm*amTH&8
zpMRH58jqz_T7?pvZ}0;oQ`J2qZ-my2E%h=?{qlVteN{m`c;ty}#z<XGxndEHrxv=g
zq%*QI25T?pEOkU`dO5l|$^F6ozac*;?=<2MF$h}kdMe_G+^$d~DkoS+t`W@J*IzJ2
z3WlBhlD*FB^XOwfB!#0KfYXSa0<CWlF3VIkq$`H3MPjD$GDF}h*4l)o{Id>8wDWIi
zzB&=(bN|XUG16yX{Y$wgAJJ`p>lCB=vq=mcn=FBP1ahWv39tF69o+a3B?0PLf^*#a
z!;L;BYxR6}=Z?)mQA9nBGR-6L-t?@dI~PctNGYb;L;Mju!KJ}+F(UC^SW)VHdg*3B
zouGH2Rv87W7qSZRRmFQ8c7V?#w|`7E6MTGGjWRfAauEjU!tCWm;+xQ0yqJxl8dmyt
zy5fyO{U)@B1i5lKHx(PVW(_6&9eN(bvSV<=p$XoMu3)>j_s&#pu7dNK(7mLUVK8})
z(K!jeD@d-2=Kz%=`U{V-DO8i~>a!3^I%ErD=Y_GRTLl-mjx+!MdHMI-bgPUdkF7XM
zmU}m11S*`kkwZ`r1bSU4gxpe3r*8V#d=0-V-TR%N;+~Q}9ut?ZBORmc&Y(1FggLQs
zQaD4yP=%i@3$qs8l?~|kjx**o@`8o$D6K72xB@4g4&x0Lu4f2GNY~(N!k?O*F4+e^
z*2yZKK&U!C<<&aWM#BmSxTN_iD#435h&(DjW<_FYWHs1LuxF-oy!n!CTfo<uz$qHa
ziR^FJ#{t%0-R9i7dF-T0dF1dUl(2<nBdRYpQNCIPydrd1aYY@G`4Yr~Y_gt&5O>hx
zi#v22Hoh}yV9-@aZD%hL``m|W*L;*~UHfLe>DuEA-y9ywL`&XJXnKDZ@Ae45Mp!GI
zH8h|78CL$~cs<VYLjcK38e*kIiPAuiX7jhquZa+;5^FiNVovJy#%717x#_d6oI968
zRNXYP5I3J#9_OXY<OI^`;FkocRCVy#H6pL$c=YV3gS*pA-*b*<YAZ8P7JA&pnH+%l
zD_S=3wnV(`@Sal0pHD-%Qn5Y=+dc0UVQEX9mRPUwTS~oWR~paGC-GIrzDKoT<5Uyt
zqKm9<S+#4fBs?x_^(?P>)ckKD&!Q$fBA%yp^_MWunbA9so+fS1;E0MVSjteLcPeXJ
zSNI{Vh`vk`;$=8CbiYjRF@$zh*r?&Xd_su3D4$1gv-Nhsl4_(~WzFPF#SA%mS44f<
zts8d&5u$|5lOO7*h(>`Ps=$nZLnG;@KS2p<dgg@>r|hk{%Qp^Q=8SyTs9t~R7OzT>
z+a&o>M%b;B%w@c|DRWaiqt{NoU+9MD3&4Uw%fUg+t#4#?t9CLoS4Go`jsD%@{x^Q9
zki~*sb>}h3p+^_!{pqMmZfZG?o!Uz7h}JWr)6=QZue&<L*R1&xLwy%zliY9y(s#v2
zk%|2jto<Jnl*Mn&Aq$1J;JsDlI1l65(ZQngTwHbCu_8;nw|f(B^T{W#DlFK>KIJy}
zHfb`(H29TTL+u&c)r`IS4Kb8ALBP~<N$dN$#AS&WTlC52$EQ%M_s^$fD(|G}WrGk^
ziShAWu}kj(R9R%KG?zI`zmq8`O%N{*dnTDA@A)9Qy}vT7?E|jNM6)*Su=Ecc42e;%
z<6jPm!QJ^vMFLVTGCsydXweh7aNve&x<V0g+iDP8B-gUdM?8Du+2=1?7R?#^naAGm
zRriC6?gTk?XDBTbH(nW!T~m+HBq_zmoTI7|L55d0-a9Uwz`K~~Uq?JIVcU2w1*({;
z!hkXT<Y9Hs9$Wu6a_!x^;<uy~64cS05A?<t^XSIcU^~Pes2Qp|cD0!Bsah7^H>k^q
zTWd--U11~Gm<ZV4Bp*@3iJv;(?>-_UPgB={Lp{@Qg4xZ!or&~iazSzun}FABEgC&)
z79TiF{7fJXZzGu<Yn)VnJEPW&MwM4YIQUKHDf%&nL8iN`o?6QHlpn+4N*iI|iB-|%
zd0)cqe~RTV%2r*G(@{tI<m5w;<2AAw`kYINRJwuhdEKaWflu{Nm&MpjU;MPfAfcH)
zK?+ULolqv*){K=&rBy8YZ<lVG*uZ1zmwd~+-A~UitO)hcqDJOa8TjIOCwdO^8x97@
zNm$MEOu7Zwv#72XYb8*3<(w!QOILOIp@$%io6+~6x}itb?yde;BSS0xfl~_20;Fn*
zp06TJq!*UA<XcY0_h#7KGbxw|&S~@zu^=Q<yb_{k*C$;ixHfI13d|4sN$DT!uNoe{
zFn=O>brcHuu5EB32%}%-dW}UB3=W{B<sgA6PBv?bzyHL$4!qaMD16XT`(VuK_LWyb
zIK?7knO;gNYun4GUOS_EP!lTb2v=9AFq)t<GwDBrl*Rk_p6GgrboeW&obkK+vDO@2
z4cEn3e5zB?hVf6ZJ}`5x%2=|a(~zG^19DTC+?!0_4}Tz1b-rcpgGz4X)R6CBUq54L
zj4*D&B~-zgB*P`!qI+(5=95?9^D2QK+@^j|Gu#a!>t}rIGnuC%Ey|GA)gJSl!a7Hb
zzmB2zsDMo9%DgSJONfgj-kj=+h5Rzk=MfeGJyt))<YZRSW8!449Q5)~o=eWCV)VZ6
zT(;J%%W_(bGIJQI21l}|>>S0kSDQaN@vM8}#Qyp2(YEuhg4bx8gJfqmh6&m&zgwG^
zb^vF-&==Z0;TmI_dv$0o)RBGG*~^Rse`r~<M3yTbNq0_Rym4=%o0jPtNiIw}q*I%(
zjoW|13cw$wBe@o!VlPfMmz6{zq^`S2lzb$U_()EwDM;fNlM-vJMHh&9^}rCrUh+(X
zH(hLpiQ6F8AM%Y()w`(boE}Ke#pY{9r2kU;6vy!({CjXOUs{tYmET5Q8d;dM9Bu%)
zN8dexD$u4?mf>}M=*GcIdIlh%0)9-|uvdA>x2FP9!Ygrd{Fo5;rR4soWL06DzHvv7
zLY$U&Tv6=1#CStgw_FWDPKf6s2@wURt<1zN;OENWNGIs3oXMI)Jp)$tT39CCR6!Mc
zxT+vGlQE^xG+}q^yU_dJJ){l{+d=%Ay{vvB@0qV8j8+v`I;YwRtBJOBtvr>9q*J=M
zdc<xWdYC<hKMNYSmD-SpBrkmtA17%m15c32zQ7ePey0qqPkDhQ^HArxh%S^lMKzp<
zrMmD&{*oo8{hC4`lZa(h21Ud`>wq<<3D>4AKc19`NAs=*_um@JTE=sS&*CH~RBqPb
zO$H_SUt_fxtzRMDw4P3IHONl@Br6^rm7G)@_%lUvYPQZih1-2qZ2Wl!+uU{xedS}A
zPIAhgbNAAsVEhfHZNCa>r7KcW!7U<McUf`*@EER=8wyJW`9Cpt=$NlRc=FTIwfWFx
zFL1iCwata$t7UbXlBe);arWS%OTsuxiC%DIc<-#<db&DE^>!qk1qGVLk&WqQPeoJ{
z1wI`6qh(zVul&4};X)rHy*}cPC7+hRmvrv4;k?Pu**H?dPN2hz>aPlX6u!5Y`8&xn
zCYMHX4e_?~#fYsLkNEz22GU49Hs5MeVQQJM;SlgZC&VHyxw3Xi`E}vo>ad>&mo5kX
zP15^?@qk3$Ag{;DOdt2J`pFB@Wvp3N2ff%{&sB&^G^rmYtydnsumad{%vl`63)tV4
z7j`?PG!%&i1rbeiH23yLPMlM|rh#=788Yh{54hpxBGHxZ9yEE{!<E6MZni*Q{?1d?
zh9siqGj9i2toW#&o#p9?*T)^kAR5A5TSI_YW56ixn!JzlCXvpLdqa8G+y9D&+=#q2
zh8j^TF)h&}$?!%4v4|!)4EDdM#B8EMrYB%v7SI#G9HC%It{6;X)A?}5a+xh{=eDBt
zoSRZul3P(Ry^mg<Y>TI)hBsL*CyzT9YLg^;fX{28dC1D&ZMM;zH9e!X)t+e=MP|k!
z!rXjba(ly-MBuK%sc>B%`6VAwC%TXA#9un(mQ-RqoYiXRt*!SyG%z`GO|=i?8V3yb
zp4Uio(&6E=$1vvuJK*Az5?(;ZQT2TC!Tp*p6fT#AGjKYWAu}TlvCAbJ2z?6v1J^sX
zfI9Q+0p1@4XY4!{8v0o04l-W95<-8MxvnaA(X$ejo-Fj{hp)&3!K>X@KR){Yb36c^
zN{@q4$#8b%h2ntfN@h$>ZiA3&%B;7QF6R{ujnAvCADhc*)4r}>v9nWjkq~H`kh!;7
zpg%r3{CHomPFei@fs~A3FYg!oi(Po^ME;a~NX!?<$YDWxdIsJ3@J+M5hvoay3+nw!
zGKMP*Hr2v?&!vM@#~+(#qdNo!MQ!{Z(o*1sk=OYdtP>^973BKKX^y<o9bdgJU}b?r
z;zdX>q|C_z<DzfWFX%fbzP?*{!68WkY^1cYG<8qS-(YpH!IEBnJd;nK44;3wgGi+q
zc=}m$%JdvA#M9$3P8$)O9Gq9p;AU^4M61d_o5WO&qSzVt+;nzH<tMS@_1au`5qT84
zxWEywH___0S(lJ+ZrLNNCVsfagNhAFmM2m8{f^|>I%kCGVQ!srM-cllZ5M-O*QvNJ
z)`-)Rrv5>e#)!T6C|7JGI!|BiBl4MKv3I~X!{TYvYRYH{&QB)NAIX|hPLS+8xNnq;
z>Qv#5l-!xcDT#KNvOgjJ>J}s88LNo@lUfUK#v|11*zno@!%h~~j7QfG<#_o@kvF9n
zOaG*5G(Ms@Q6%wn^fh+(>^3s=n<i0Wm(a`kZq^f43SA%dye;J0wjaK&9;VUzyZ`nk
zi9}I}ZS6Oy9fa#*&J4%ZgL~&m_YkF1gJ~x}U)!M0nW!^bIW(9fjzgVb5na^s1|mgY
zATywpA}+it-~JHUd6DethYK^BI+GJ!zWo(0P>yGi<!Mq2OK$i1J{34~)y)kg0>!Bc
z<FWC{H-1wH7DQR_SMq)vQz+ybtBx%;$)>F%HfV@Up8()0`Q0`+j1E+V&Yh+XYT239
z<90$}I1~n64NdPxk2@(4dXnLY{a@8)?gApQ8$vr@#=MuYZfzq3^b4HSj;C+hJtg>+
z)dNr$8a>US10D?&$fa?$dd5ueF2azQJ^8CNv*;=^Nigmac_SwKtciWY*@A<&iX?e!
zZp-1s8%0Dv`_og&^qqBRO<5E_7Rl@_gy+7%@2IaiK-JcX?8KejIX_wA7fl`2OYLp<
znOsvsX4Ij)x#nDRcQ)k%r^e63#Ut5|M8937CQu5WjUmZRkQsE1U!I#8qh4}Z(I8%n
z9bRBPTU(YDN0ysfy$=oLLsJgoPbTYwS7^MiI*n0>BP`!#c5K$A+c`=k%`LhVuNlB+
z+oFkZxMUI!&KBg`2@XxUYn}4Twx2fKlcsIs+$&YdKjtP^4td{SGc88?#4T-ANc;_r
z4pIPjdHC;A53K?RBjh=bcP*EA5AE_}85DwnwkwzZRC)OsWi{I?_3wI)J(qc4Q?8FA
zit%&yU!XTRZFF0*-RQ0@e%tfPK~D6efm7>zn?NY+O;j9Epn-1DY7zdMKL!kJ41FlT
z{#puZ1slBmi5dEm)SAxfobwNEg>(R}QSeE@v~Phv@~m)g$pqAxNppAh<bCaCo(Cm5
z-mu|B_o6S7UpxJEXHfKM?~w@226IxZI>wQNIJah2E`KzmZ&q8h?k}|=G~fvzCH`bO
zsd<4VPW>86otfe98z(*~e^HD<cJ4_YOw0(Do5JP(bR?H-s1>{^dFO*)1ep}@w~L2e
zFSaqPFut-@G^9`Cz_6C?SxQ=`y+UrXl7!;BPX$Rl#Agk1KlL`_W}HKDe|aps3!mO!
zGh<3b-&!n;W8%LK?t|E;0+nwGfQO}fFO1UQxG`=%-i2VkD?V&;IM~3Kg)!cId}f<q
zY+Oe;n$sR-YmzV=W)CH`GBJ>ymTKnVQ%bxl1v!(KN{yzGNiUw33yCAGIEvW(<@|*-
zd1Fq=D;=tYizt5C%;|ii>W|rESc+rs`$I>ofnR8jxnSm++0j%un;386sQ^^Bw5LCT
zdItwr1<6gRAz3-@$UUd<CNNLuD}njuA#(TYBH-?~xHatOq+>Pp>?v`Kju-d$?jHMM
zNtnL<?~UR?sguX#`KR-Js%z1EaLtw5j`hRnt-mJ2Qmz`73y$7kDL%9FdsvxH&5ALf
zCCsDnhSmHfkLG1hZ6oYT+|+E&*^6ke>mB><sm5)6SpqP)VYRnJVJX|9GPz)o<B4pZ
z+RYADPBfD$uHfiTX0enDd5p3{+c`lrR=wS*!=S{FG`mO9XSF=XTa!bH@k7;lD&~8J
zcTS^~Bt7n+PZdsBylj$lIyc`+G0-9w?W(ez>oVlBG?=64G&-}0>@DGpC(V|ATFX7p
zB>r=@+t1P56XX8*VEgVcA(!AO?L-=sPa3>Y);@>M%LZ1oWa-DwCr&Y-dg!*x3X*U>
z#l3X>FmmYKNnJU<IQ4ShA-=|OgmDg)5c5w^HRgE~IThJfJ6+=K)_KBJC#Ph}f>&Po
z3*1I|@VDv^;AE^HThVxomm?Fs($g?>%nVC<p2pI)y{L^zYXELzzTx_W<my6neHjeK
z8#i|){&fG0vv7F-C8z2P8mUHVfAi>u?NeQ6I|0Kxu0@2v=0vp49c+hoRL_2o7_&Yz
zbJ*cJ40Rt(va-F-V6AIRY6hU=)h`_{B5r#k;`OM12y1i|stj)V=+D{uB?<=07XGH}
zXIobWR{sqryMWNoby6yYz1i5SY8|eVjL*sevFq3>H_?m->u1TQ)SIRWu`YnT(=7~9
zE;ok!b{Fr!TPd_ElqoEXaP+@V4CaSOa18}j@Ng`I(k%1p@-sS(HS06uzv`Ij@`;s_
z2=cwxE{MQyDE`VnbKN9>vin;}e=NPA);$yCs?VP0f*+$Fj~}lGU%*M1I*IQlV|kCw
zU=vH{lf3>}B|Ah@RbS>sR3Db30(@#iIk`#3PFHyAB=TK-Vd2`?_Qq7E9did<Lh>oT
zQn#j%N8h~4`b>@`=)tz9A-+?imo$-GY|P8Z$t>wRSk#v|l>%lzrCdDg%3H0PO3fGr
zjM!^YZ^5jN8-d@3c7J^-o@x;8DnQ)ejropR&N$vsiy0PbGbX4VC{6LwLMB3nI@saV
zKHlc=<WnWOc@+(&FE?>_awE5^BcZ{>%af2Mone#v$R+gq_(?7v5o2b**rw_^!ejmR
z(HA9AK8)s#B3DW~=TZ=L_=U1dp_pu)ON%M#iNh598qgSLi%GT>@0>Im5}SR2R2rp_
zCghf|qRqud&#td0^1`Nl`{#ae(DHVB3ev&|ARpCF;d#<-NP!33`YJ|3D%IWSlXW>7
zl(B!%o?X4o&&0507A_P9zOdsii<Pn(g*(QNvGYri3M{4PLYGe<B{M@UH0SUce5{Nv
z{&-tH@A@NA*q5S^M8y1JIuDf#JXxer72?eiCaq=8ye66$humCzyK$QmT!=!dA9&nz
zlTH+ip8eowVx4Nihw08surPAXF7%AgO;T3T4IMj{5q7nh%r^=(n;PK-^@(RQW);U7
zxi^=7O|Px>Nq3!=aw6+&0isIk%_H@7-*i?C@31hB)MY%MAah>X^><(M21c%eJ?ylG
zzNm?Sr-cVad~Y<?PM_ahsj?~+i9bU+bY9-DO*Sufz&uY&Dx;1R4{wMT*L$61ma0S~
z@A?@*I^nqAuipxn<l?(q1IXJCp_@l9=xAPjwRDf}gmi?6%<RWySB37s>YvD8$|>4Z
zgEZ1tGm889^f{SeY0bAM|916h=j2_ILP>MLRYzUx#p-`4mmyUl6UD^bpnO1lHf&47
z&Y8EZdtK<Ub7{eKV<n$Qsb@&}rFIi8sa*0Mynj+Z&H*dGsuB3@y)nPLO3=l}gkTRP
z1dB#`o`f@RmM;!xd;OhF0g53ne=%hM;|!j7MZ*8g(g;ixC}3jGZLRspZOMNH(AlI&
zCGVMS_DO1%*;elB4_2P#7#<f*4R{8?i98=oG=>)cfp(yh74?Y33qJa)O^9nSpKh}B
ze?`R>_yu!pTooGsQYKqq_aY-V)l;UPGn0z+C-~w@R-BWX?(matk`uQd9{(=>i~abj
znx$9+@{!K!%60|!#6~Z<C3qO*>#HEsw@p=cHoiQL>gA_Z5RV%v+bO6$j{e+T*Sf;R
z`w2O%P8j}PcVOfx1@P4(BQeQTGK&<6nnte}-yU*v6@X@D)31t!*<n8Bc`#t%I|CF5
z5hT(aGo5|CC&(gS%jD70`oV0S0XIw`woa_&EO^x&S^5U93=?2VhUls5FFAVxRZQkv
z79c9O$2BobA-*L43I8(eRSL#B1e?9TU}X=r{?LUk^TR%*7J~Zr7Zb661k?aZ(kh1~
zf#LAfjBbFe`D==MP6F*il~`?q)Ov%STOj4D{h7QhKv)7uk~;OMDAfBFq$UI3>sm3Y
zrcnUv6ule9!kwew7g@ZWf8LF{DK|U<ZrzUBM;xHLoTNwbj#;YzE<Au?_Wcwbc~s&p
zo$^?*%}JNErnLWh+3r}PR~cON`9FbYNGzn_Yk+MSbX;2_`q+DM9=~L>3V6VQE?C>|
zZ${h2NJTKnimaE%JSHUXjNCRo5YbKy{r3eC<k3J-)mv1U>{;s8e-|?@P(Z2m2FrC1
zj$EQcT_y7@R1W%F?`9~e{Ls8RfpBR*^cq)Ut^S<1w(HA_A<w)b0F_n$&67ih){1HE
zn&vn@g^is5G_#7j_hFs%I`R((V`yd9J;uxQvy4KMoG+;ZZF~_#)&3p0e038-bP&Vj
zf}#+|;PKHPwckTBVCBDrqZhEfy_l=xJ`Suk{Ap7Ao<t7&IPiUeeg-sBmq?3(=W&}$
zuNkc0zna;Q=cXPa=+&=ZeK18iVs>!aqI?KGuJk$On`s%6&B33nN^${wlELea!x?Y{
z`tUw@0M23qFQ4A=s`IZcIRSWjT5eK!>rQ5aRLueqZ5<GcpqZfbF9!<VKn`Ml$s6C^
zzuA}NJxfev3p&HHyY~mew4k!M-ty=?J?X1d&gT#n<Z@!`_|LBe3tYfbj`gQ1C?B-s
z8bBUv*$|H*XjQ;Vqa^xVWYwH-5j=!f1k#~Or5`jolob7dylt~|nBsLCXYvu)rgmhO
zedt$#m9jruUoEOEAF*F+>9X<M1f}M#Kbi3V-Q|#^sOg}^x$=JR0SJP4R?=!~0-s9Z
zSr@$FOk(Fu+Zv|P?VspxvbPzvv=20q0+n$G$n0Qtknw>?UHyNLDkLWAwQ%B<3BNCM
zB-pePLJ~sdGrmt*UB3mSHy|*8jz!WD9$35>`IncqDp?(U!AV@19p?yMMNOXTsPsRn
z?K20J61JA^<3W;)zx#U=r*?pEe(jy)7yW!25*L&`b|6yEY1+k5lD_m9(DanYfzr>U
zr{5ailNY;C+xgy7=ig&pLHOtmM(7sZBrkm){xMfK=$EYj|L&6-iQgC0-?OQ|DEnR~
z|N89ZMgX<}Nsb_0?BF{H%Y7*dY{t!9d(r<v-s^l(e^Nm_OSQ}C$-uhHImAk3xH9DX
zMdSNm_jC|4Vg+Pq0q?Et5u~wDqjb%3j0l0ru;6T1pn7bdFUyGX;d;+Pi}VwHs3R(Q
zd3HI?XB6LrRTN^~UaeX909Cm4bB6sK#Z}*j^SngY?hC$MuRAb+{fg%RfsfGL+LgR%
z&4UZ6-sym~S)Dkm1TX!qiEa`bYFi_{AxIQIDV<OLFE4{JI?DHplgM00?4noHA6gHJ
zpUQgK5KeLBS%lkk(4?+goVp_+$b@<=iacgSw$WXE;WEpAH|3u;jbBTh{<mvorP2R?
zrwC6)1~z^7gyM_;LT~<UMcU}7z{}?6w^S40uO-iwd+Gmo2WOc{;)E{MyW$*PEO`*3
z7RX;6+J+T9y=duPbd#tt{J)RVizi5HR6!sFG~_XeejcrTwUZ_#x{6OnLnO#o2+FD7
z6}hblZ?j8B*To{js{u)GNu8jsZv?syY{uxF^CG86qMil*xJWeQLp82aiom~8DP^y?
z{NI;US4VL8;nA<O%>G>=l9{ykb@FQyFV6qI=fCBGAnf!#jqLfi|NDS{%V<6Z^pn0H
z_5Z%F1641uH$VTxG(O=muLs>0H`N%>kX!y5gj}ykF};^eWnaL`o%XkkFu4JE-^E{l
zj|B6C7+0enXcPyOL;RI}tz*|U3f$b_T?tdEI#F8*ifg`(8X|V-mFbNhO#gJG|8A%v
zA%e=p@$J(6^dy4h<t`b;b2XCeyvA)c3KCzacE1qBvmmEBM}`yf09>B==IFxb2Rs^M
z83xCKM+@A4C!2V3gv_1q{w*U!iu}46B=h<@M8|cXqWhSin<N(5i_(?!KwLb|r$lxF
zQyoR*HV86@rv29==_NqGBy6fw@^C_)mZwDq@JbfXylq4n<r@e8kyI$ns6WcqL0NeJ
z15BX`^WScJfhSKj(X+~gqcTx8nR7nDg`fb1qW>109W}Q5gd{So)qgVFJxPLun4m1J
zbJq5h*~?5%R<wzAI^UL{3hFmIf%voCSL5g7c8;ofK!Zq2cXd+UnRT!<$=trd-5Bv6
z+VpxD7IBipN8RbD(w6XM!UrS6L4EZk12s2&QWz!8D~g#PHmYa7EIwhS<JyOv{;Llm
zK@NIGtA;}_@<jH_7!s5_-xOGk3Lxe){C<AMErA+|kUW?YmBju$b+D|nO7cH(?|I8B
z;ujlN;kk!_vZgKYM<__X&s-kk?=$ezb}r97m;Y43RNpcoBm_9%=NEm2OkvUpfrvXv
z3z;@kFtA~@>i&Q3cMO7uO%qG#P^9@?vD0DuSIV$o!hh3bqHA{fp>|V>`$Si9%0PqQ
zIYBYl)YEBX<e<9J8l8Dvv1MB;6gTb(@s*OMp3r^xjcHNhcQFj&%t2|K@>lavcu+(t
zNWz+dVnFlpqW27LN>}A2A`YL_Dw}aRqlyIBm--mHmz<4ru1M*!G-6a<JIf`zEkRgs
zF$mOZPqu^R?Og83$g3&Mij{;!KG19S(;iSC7biZ`zt?F4Y`U;CFTHdroVgliR!{9Y
zSy2=}IO&~BDVan%%i>y$KI!ABT8kTmDxI>k)9If$yySv<v=sI{9*pyiBwRXbqQ;J0
z${gZ0+r|2KpKQp}G!2piz3F~p!e@J6J3q@A!ZeW=K-d)k`bDR0&am%wNrv5Wqu+-T
zPWZwcdzeh8-RBR-Tt!i+$lX8RsUO-CcoIHRBrcg%hMbEqXtt(pt%^}lBzYidp2UuJ
zC38T_IFsI**mMi>4!I$TTfx>co&H-Te=!Pn^W^8hBqXw!x+8nM3#J75na`MKn%hHR
z$R~)9Kg-W|tR5cAOG}}MaOR|Mo|JS3DZn~^vd|zR2+wdOH;WcVlj+kN>U_+e+9@HU
zps{43_F)@2w>i|!EFn|CP5#CJ!HA3cMct5PqD0Zpo`k!_p~NlHiC;`~0sf2Y)VDwH
zgL7l^A*^ykx`EVtwJqL0?xw!q@OOaF;uW-<lH%NzDCplT7G7NQBx5~7KTsjfanF>J
z(hb3{(b+7asozLRu5b-Gc-p#n7in6_c?=i8K3KvZ7yjju2&qQ0be5QJhjs+ld359W
z4~O?Ll&B-1?ELhMRzm-yZTI4d?)v}y;j^c3d%Z8Pn?jHSlsVwVOs>OkT*>y?iKQh9
z)P!(1sD^hzo7o4s3~V&fKEqZGg9O0L9})R8aoLmSVbRI4z@cXS=}!za=oB%2uT=g`
zOD!&A2H89Jg$LH}hE?hNoSG}baMFIRIv<wEO_ArxWq!E|22m|mM|>N?>+7DAJWl{Q
zi4Z*OT^72a87+}(t@9Ts0*FPIRV29}adJyNfmcV+*Kp<Y>$-$wd=l>dfM!^@@AxI+
zi~*n8o~TZ13P|zu!P;{yk7VoNV75^NoS;!XFgj&3x}A2`pQ!;22dlT%kpu0a9xXQW
zuifMS7Gy7K@9sm>iK=1k`;^z+uvSJ}KrZr})=Wu^6F!5xqBt%%z?SRZCEx4`y%fCw
ztSwg4UJg8enHGPglGY>>1`}gnCMrr*&zkV+j>=b2(l4t-3U1iNJhY$Wcg#Rm@*cj`
zbtxXmp`^jn)U5x7#KHD1Bv0~}lFS#6)|QW5?s34x@eC-umOYk66B~;lQAd}I;sW3@
zk;n`lQNp&Rp77p?Bg4u>14&vM5w~(ns?tIhThzRz-_%=U$xGUf<`H?ve$DHDU4dq&
zGD$*r&xwb-;+pU4C7sW>z8eo9(eC6Vk{s!h`)BF-SKPpnr*1?*q2HxU)c-qk;3y<b
zA{yHv(tT$(st)Im?2dlJKQG3A1tlc#!LL6#y0znNuAR0+A{+MK@l7ZRt`hn{njDc+
zG3qdC26U<y@vr|1V={jMkZ@d~NB94a+5h`Y8XuciB|1?jyoCPyBYP4g^bAMLR7;wK
zRv`VVUUtRr*;u;IK0P#Gkm)*e@;Ge6aLDV9ghM3k!|yB27ogzekBYPT5<^CX!0X86
z-VYWz1|1h*IFXR4v3bg&3+4$Gs78clXZ%a5LXzb1A{C`FR9M~GmVCV>L}XH*=Rc6s
z;Q1W>`%N4hVcZc|Q(__CRWbuob&yT-cP?EEfgq|k?GUo{_<u;LMY$20S_du=5gYkA
zWQB%Bau&#b%mvm76V?4i4l&K1e~0*(HqYaLoL=nLYq4wbEW{yhbQ{Z9A1@fP7*jaV
z%Pe7Ugl&TD5jhnEn;Yr60D`>)6AYdMQ`G06t<_PEky;r#<?ppHoE=FO4CbMV!a%kX
zzY;l$l2ct1R|esBE;5sJ?fuj+!m?}tc={6bX4`8M_avQ2=0cDR@Gog68lVt2kuv{#
ze54q5PwtAm*SHX`mfu_5{DAEV>mD-5tvG_<)_mE^nGcOA$x}`n+t0ZFZ$l~yy!6n3
z31aegJ|^y6hPmlg5N64biHFfSWg**;6XhqJ59uMfjPz^Fw|;~Ev7#OFNs~Sp8z22s
z>mZ16xGmNsaoFN@f_{->Yi<w`A)@uM8kXG({>*gsP_cpQM@J?CY&+30vNGaO41iV<
zwy^=ejF8q0EnKFqgg^M=*wi8qp<V^41s0e2Us)Cv)r&n~!7{?u$=BvPnkyfuf=q>K
zj1X&^l8^bl++y3}GY1XNtOM^ELeDpM1we^?2(P+d(EK8FJ9ANhjlJ3i9upD)?;IIP
z1NjCwz!1kS`Pa{C@?q?xm!P!&29_+CoYVl5cR-1F@)pBjJviU2?L(Hp2hai$IWB^6
z`4|IjX1jn<<1;gH)f_Zs5NzoJwk`cXmj87xDhQwZWHNc(z1ZZR@N!$G1F&>5)%I@g
zDkzSq+@G;&BQ5|C(`+WRfQnA!3dJ{afSdY<^K54{h7R|!&ZQrKQclRI+`)oxX;JQj
zZET$)MgyA6vgMs0Q^rRSx?`JcMD+k{8PG{!Nvm^LyQw4sZsFFKqjM2CkO?zASH~*t
z%xfglI>3hs1@+u_#ezwK@$?she?@a&HCbuMgS7ToV|qd9Q*B1|`NwzAQomU_p4k0s
znHb?QW_Fi$d!hjwW7)mkL)MThIehxp$`$}Gb2Bo(oRCED(XO2Ed-b$+<akxWna;g1
zpQhe^op+w`W#L8m*-re-z=0$i;VTO9q+i<R!r@BSSqF9%AuVx1km#!R^jd<idx)AK
z;TOYLNTG4%BGI{=7^O6NFLc@iaw;Xaqgo`+9)DxVVSRO0C+H89zkv2`hMBC35e7j0
zTs%X4@dYwTgy1_+lj12=`m;BD4{+G|=N;|#d6h$w*VLpxE~F}71D9!}aShzn$Qw+t
zktz?QU_>4v*$?{O6k^217$jbcbp3m5(+w_hl|@5$i{y6?)8AUW`wf7K5#4>V(M8C%
z3WJEYaMrI-+3|ellNSxH&sB|RlZeo%VW@so1oEBky_geS?_Rtq=5%rZagHeLZ+@xj
zkUzK1`*lIqwnirWyW-O}fKv0@FZvyy-nrg--hP<-{@H3q<|WW|n8IpPX}lrVb>$Q6
zovP3&LIn+T!ZL63&EufEE^$s`H=I|eAFXrlyOr)hP_$yNR{Clmf@1v_NN0n&>|aJ6
z0Xv1r?I`Ct0?2^W=&4NurXvecVP9dwNjJtC-bWanaZq2Ac84ooJq{WC?MX8P8<TI@
zhv)r<Enx&xrsWWNJ5=yK@tcT+lry0h5d4@8W!Nd^OP=I|5)aZ}XLw@fp<>_!mSZF6
zmYECWhaK1RT>V&2_F<KORb~vF9HVK`KTe_&#<@l%rTX>5nE82kzuTlE7PTh1Ru$=K
zB}xqR<Mz?eq{O5zVNlgEe3Ky`Ono2DO+ZrDfuZJnY8dn={EUBNn1f2Kq@8509!nz`
zVr>(w2<eb?;(CdUWpIb?2wNnyhUjE|oq+KtrkenuuTSF$xtr<!q%A)4=t|#(S9xzq
zn^%IdE0bSg;ucKcd!v{YQk?P43G74Ar5!@i^@a`$S(E9xOhFWoebK&{Y3O*9vAJYT
zmjo`h<a0S#PFYl^L8!sDcp5zm-N5r-RP<6|df7<Q&HfnD49XCX0oCAQjFc(fB1@75
z0)W-_Z!1>lCv+_4e@muYv}H_G)fl2#@;cUhndwvw`=8?LAD707?qfE7n(+46{Q5rf
z<q!h1JHrw9pVyn$jA5}vp`ygY0qd~`pTJQ6Qqm<t8D2^lQN(*0M9$M=8K{gTt>|1l
zJ_*U-o2os2f=&0#-4G!>oO?VNO&#n-2$ns^OR8L*;dxb(#Op&%N^Vl}NlQY{Dl@DQ
z+k)l#RHeU1r~!7)!kfjE$ar_T*0eEw-&aq=b2F1#WmwZIzAZOw2h1lC`!<x@N^*+m
zbZ$g}Pd5c<kt5-xKe7`qMe|{Jwd$pL`NhnNN4#v4QwZNEm|vqaqlN#TE9^m+^{sRk
z8410Kq8s*+b=T1sNiy4R-o}dbE&h&twVSGbJfaxh*iux*nKL21*nhnc)_<~@_1s(A
z8F22y<md0>k4L6f2|21HVL_nR^-)*%w5l{ile|kAWo+$mfV5wZT{xR@qxFr9==2W=
zM<gL=vI96ji0gJvS62^WlNtrDsG}QJ$0#ltFN~S*Y$o)Hn(D5u@K3Jd>xXU>@u<Q|
zh0*h+r<3RhOBe@yIuu2DER?=gH&o{$^v#_LJ!m=W{Q{(b1@{3*jmPJEp$LLqucuYw
zr_BtM5ddfDzTr5*DE|EChtM5%Vt(6PdvLEC!|HDXNZ{zF{ShH#*^m@tS~UGU=z4n}
znUUu~lY5e3CKCfwc>wKswu=<>{O(X+aD}gH*xuYDyG@{|m0g%mbzi=0AWo`4Nnmha
z>M)Xy;-bmtzpHnjo1B~Xs_73v5}mIl41d#2VT)H!F+2oG6*-?`;j=0NlN*Orr%WE>
zUyDkL_y#;vN#4Cj-46Ut_WGJp_LGMpmnI)i-{BML&&)hw#qWOY3~$tE-)m|jSG7d-
zUx|OtG^<+<pSk)e&MKw&#Y&JvQVPHqX|#Xz1q*ux*nQ7ME|g4AMd$KGt#W)tUd#jy
zYLbwJjGuCE8gqw5t&sKwevOdDXK#Drz_w0gZ2Vub$%8>S-k|M^MblOrQ^)$;2<Rj}
zS>}j*<@!-W?1b34<YJ$(<V$TZ<qmaF@9;9RUWktJcsh+wL}oYaKI{Jq(rc(rr$6AL
zR|O_6d@CGkHJv4?W{X?>t9n1`ss*F?Yd&0R^hAI7wlVpB%X;H4y70rNzrh;TMDU-!
Mwh6XI(=q1%0msXx761SM

literal 49175
zcmeFZby!u~7CuaD>DYkura_Pf0oj0bOG-;ONV7@l?gmL|1W_8LyE_B{1*AhzDG4Qh
z6VHwFyWhRv|KIa`=RC)~Tx-oa$69O5Io|P(cb+IU6**ii3M?cfBwPh~=_g1?s4_@M
z$T=7&;7sP@9Cq-7jCdj^iBvfb+Xcr^OI-ykWo0B*Z~+4e6`2qT_4XF<FA_2@(rv4|
z;6L67TO`Pz^GHat;1`LPoA-eb53dk6A1x2R5YGc4K0YKQ>_pUmwU|tV{Ofol5&GvC
z9W*>oB>3ksGEySpzm74I6aO4T1O)kzl9T>+oc!<OeB^&ymyhyKi%@0qQU7_2ob$h|
z`)?L=a0?1?b0Z=B=P!o%u>leiq|H`S*G*ShNyyyEfz#B&$;^_|%fb0}03;DFA#mtm
z>1Imn<zVlK5b}CN|K|=NaD023i=Ot+EpB#?=yjFVXr-K7EolWfxjDJ%MX_jUX+>Nu
ztc0FO%l@M|_}e3T8#gy+AucXYPft$I2b@l>)?7SrIGl@{my4H|1Kh!Z@OE@F_2O_u
zF#OfYKl_okM3}qUI=k6AInv(tYij1??)HeD{&t{${qqky9i0C)kR#$BPX(Tj%gfZ6
zi-(h&>%TR!^s@c8dH+|d+bjRGnX`?Pn-jvu>3@v)ugm|l0}Jzi+3M`>YX9ezSeSEJ
z+FLqUI=Uf1JD&e)ubZva|FHM=%3s6%`3ir%91-v-g_NBvY^}VdP2DU-Z(W6hhnIt!
zPxGJ7EyDF5_x$_S{%I}cY6)8YzqkI|J%4L``v!$nt*j81Zko0ZmZE?8q6pW2p8wxX
zq;0Kj-E5y*TKuoJ|GwcrJJE1ALs**Mj{EO>zy$oq=>P5N|L#H671-fuYA^cVI{4Sc
z|7`#7C;!(i|Kkn(>-v9o@ozK#>(GDy(EoBdq1#XO*9WoqZ{Pc$HvIPnf3v{CTnOQA
z_RP}U?Qi1%xB4@`B~7il{&re~>%ZPDa_f{r;PHS@o8Hc0Q63Sl|Hrw1j48r(JHh`p
z;s5mi*IBTfh++Xx{pZpoisgaA21h~?M^ccM(DXvye~G!MrExZ3%r}v;<^7SxwpapH
zu|$E1_<odCs7;}?LbRG9FR@H0qvHKG8M*@R+--^D-W&bjH@Ro6+jtY+-{ITKe%}qx
zK5X0O`JGmuI{j$*{>iSQ?NsaL@_3?Sg8>5rB{-0l_OG86eMsdg$EIZCKTrHQ-)RYv
z&P{Ru$31`jbPzzj$G;pi&tU(pIqgx-TVx4wC=>$u>*q2qa1e2wD^_6i?{g63q-_h_
z|7%ny(Est-CFak6TSAKwDZ*^`x2_<_0Suu3j&0R4(tmb;JIV%J5B2ZO&M86vmyZG@
z+y4Fx^b<oA|FQ}+>-+-xxAweNF}|4R;Mn|QZloRL`ug{evFwLG7U~A})Ukg2q%gG=
z6NMhsh|E>!H>kW6Y7)i$+~AZ4N4zRoa9Qs!QO&!)I{V`E`Te&Tu67%5wuC>HFyf)y
zzTD#pu{@^7FV^~Ewnx&rG+rqYF{_-|oOk;?Leb8O6NC7&Pt*v9Ry2w-z0s-iKN@1@
z7`y$GtL=o4knzIE?b)sh^_|=II7t%J6@s2XC4Abno%^}X=WL<Q`is|k-1nuHl=VAZ
z-9ByNTAyMc-*!lT-1QN9JzZlyV9?~s@3?rr(iPJB3s|x@S7rR(Uhg!?;ZyxW6M{KY
z?CM10+oyN;!_9sitoCfc9zCyD%@f^FI|5HK-|TMprQNT=eqkCM75P2Yt+g1kt7;Rl
z`^e6K0IeDpU9l-Ylxw}=G;B`2+#1WC$bFREd$Rk%Zl(-5o8f9D1mFMHZmBGX!k_QF
zVh35t?1{j)4)_cnwblFhmCDOsxjx^?`D~y{8Eu@t$qml}*9Q`4;I53je!ovm7XrtY
zpYK(4T>oN&Uxp2s?Um`)&{r+{|8~%_{5td6*)?se>c9vU3v{nQ55+%%;lX;saoN-h
zA#XRf^8&2u2CKn$GOjj}5F7!2kH0#Zd9CsL>_?S$#iyTh#uMvF402EFZ6s<MmY>^Q
z{rYL__mg-to8K<{PJ!KAB^<Hk`}K7x&i;z9<#4L)T&3a9ud`ZPO^9t1CEE|LO4b}2
zmOhrL7ono#Sxn?!?NxQW>P$EGZ}Po3GWNd+GjnRcxED&UtRVTv>5UnXdP4m@>bBH7
z@l|sKyNt449=~_^JoCn|#pBz24JsY}$LPD~UFbBLl?E5#l#YTP`}0F7%<8Smxgz8R
z)fPj^2c}xUj{Eb@aWBHoDAeR7q4I=5cNJb7$OJuo_YC-uW--e=t}jISb2KsAlM=-+
zA9OQVm0I@ZL>`S(?3>Ew=$B@@(<KZ1PjIMvNr;dufhRK#r?I8eNug!L^Eg9zE%=A)
z$h9)DNjZyS`0YMgjAk5eWjnnZyMs-_XFu;em`HawLo7gaHl0J?<L9gn14ZG*gRJDx
zKQpXdR$NcO#BWR8<n>CDLmgbBWOb<8OweJqJFF&?wx)~2G`98S18cl#%4Q*f<^6`$
zQC-Q&ujFwUKlt+#LunHkQ4aI-%oF>fi8Z9ga^T0A53Ca#OduEt3yNfNxf*D9V$BK#
zhIOlu+s<SlGOAi#8kaHk``Tx-<!-yvuRXeNHb)^8!XZUkWopP)nhlOixRe5&O=X|!
ztX0WA;EP>O*4t_{V}HqNCB9uYI=L{)94cISd2F<Wnnb*h$l#3Qd14dBi#q4}#qtD#
zbo-<l;jU3Z0jydEC5ma$BpgDX-wpODcfOjGZppISuC|egZ>U4Lp^-%1-?Qv0dBUYp
z6dc$4<I*_|=_|a@G3{S#m1~-!521&Nb(6G)^a5{RA!r;cxENp?UsNeOai24c(35zV
zz#qhL*K2BX{3WFd-}93lG+c`O`rqG&(Mt@=WEqYBc+MBPe3-m5zj|uG`D#Sj!ab#o
zK=j91e71v{u}PuH8}sHV{bYq+T*AxR6;EF`_Z!2q#9EGcgeS<I#xPggtoRr?Ffs^$
zo#P^m(_XeKqd}_uhwB3_6&g-8L*0tnl?Fos1lYDCFE|$1@nC|`1jF}fjVDiHrEo0P
zKD!*Q$vn>9l8YBUh&)E`OPzon!Qh^YE(5XT4|XtKM0`r1VpbGJ$SC|-|G@-zmg{P|
z^Jb^zNBi$N;{d}(=K_V4dk4)0QW3nItuIKqjAGr1AG{HwdBx87qwUNn`tJSeoa)!I
zGS(7Ej!LHS@pq!1zew)(;RqZoqBWsiG55yn8X*gZONc)6ZQT^44pLF^_9<4%BurS6
zqxOa{!(+=^3z06vdMYq{8wXZDPnA3-<-75<;h5YVvll4g$1`$~7Sn%kpHsG(FRHAL
z{R4Xa@vUA;M@~v$(rTI9Q_(*wbuTVTj#Zz|`LfRsnX~X`xFh$ko$ZqszR-U*wd(VK
zzWvg(w$5@8?z$l!G1n0g(3;{cY}Sj>_$Kq^6SM@<w@i`G%f6tf^OBM*Q${9iV4z?H
zy;<YUqOg8l?LjCG857HOuqR)TW=+CAW`kq+4)Y;l+4HzuccLalc46IZBvkPV_c17Y
z7hFLSAtIQrT-BoXO}_oFNhO8UgqvV`&N`YBiEOh%?RTPX!9^beR(#Tj!ga9l8sZYF
z(hs#(V-#-1WLnO`-xr$@lMOGF{^6cTLFcL4(7|~WGt{=-SJ{FpeOnWP_*`|Ie}(yc
zd=y=)Lqj@WOq9I+xSyG%1-+gakcWD|9LY$67kFKVk-g)OalzcF_Vk?6{go#7S4<DG
zphIfuUkaNnpdV$zet4f9Ll+vUdX;0Dc*OEI7$FX0fad*b63pc$&-!}|CIL~t4vGG+
z82OL*e~ts9wXcAwWaa;V=U*u7|7&jvGp;iXo0RbRC9l^%kY50OVt1Yev(W7C({I1O
zzNvb_u6Oj=slx%Fr1Qh|fSW7N!jQH8^Qxw;tkKK|q^z1{W_{7`p3Od6Y;*yBykw*M
z=@zQZL3KfZ><+`$d8=DvHI_vs>;VHa@$%xh@*VXYE?Asd!Thdn+^cM<1i=76lE)y(
ztv~O@<ZFC$eX*Sfp{Trx__dxO)_(nK??=at{~PTJ$F`pzS+&aVav6#E{W`g($>d}Z
zbpJZ@N;&)d_4(;%C$a1Ebv!DelbtEl{!(l|$q3rSG7Q=V5Q@Ejo$SgbP*)gt_yaUB
zlE$Xf=)AhWP{;6!k(G6b@?r3g)t-ncl*_{b8i4llK(yRh@;h4sL4GWY-|pyB@^ls*
zz^_(BgjukSSY%YR&XHWNwW!=jKCi$+>89tsj)!7BkxM1!e~Hc2I@#{`8vqxh4J%KR
zG;K(b1-<jp#?W@IkK<?t4^@>f06{6EXvJRg5E723Ct&$1VDLJblFRe|WxMK1mo$AH
zc0OS%CZmI4!Jt(n8y7>$_5IVky_x}PB2!MG4`}2007W`pe(j{$v~l~DW^@}E#aEU*
zzi<EuWyC}&U@tDl+?^8?%NEt_zSsWqqdvfoa(kHLgC3Q9Y;n>w$Ws$CG{+Waf=<h=
zA1m}bj)vJ@3VW(}SiW8%L~-i4^7ygbCU&twG`h&ie}4>2c5y-sx4n<wz%$7{U^X)#
zly5quFf{D&zXBjqz_c6k@KcIFVRYcmb|IE0<YhsoRE88eXSV@lr%CtD<w6rLX<-S1
zK+9GUiV=pi>?%0qGL7x6656E3(v+Q0`5i=@KG;;g1nP|YcLB}{@7uJ)h+)6XuT^$F
zxBb`GH=fJhrA6VzwUiiqPRqXg^EIOw?Xiya%nrAvIYXdZ6#UOL>#US<-gZ5fue8Q6
z@t2W7zowt|4zFRxjcJ=D(p`F1uTy0NqWqfp8+}|w;c)`5oq~ubuau%LK6`6S2ZQws
zB9m{__Wa?J+lOk?p5XShQ5M?H1q^!vSYVu_@pKp)NIAB#VsrVrJzs-QF1S9T?yGtb
zS3iZ=9^V{EcN))u+nX{tNPWcwHpxTOg3PUm#|-2H3x5_qPUqY=>`Ui->LvV5Zofi>
z;H2^z;Bi?SLV_*vjF7hF)tto_8l@^%8!4*M(|k>h3f>Z(cql(wkMZyjn4F`w-G>=>
zX0Tk>X2+Xn3t|TmLZgyUiqr2)!VaJK@HEl9xBaviYAvgNO_XZBej*ithl?Qic>3+L
z^>|Juqk8s3r&mM2zqd@VVAfTWm!=19EryzE#(D>z2jr-&zKGAzpod_f9ENsA5i!sA
zwqG8Ns8gppx8?`-)MR2?NsEMstQG0M8bmaY4c>g{aW`5-B4FEuwMZ3ue*e-Du+;2+
zwuqRZbZR~9M8yx4d<Lf1&Kt?LcN=vVMy*~o!zVwM7<)_1Ju(<Zb^!E(LUL%4KHCCw
zK_c>!k5IyJ)vG{!y_c=@Fe6><4x=#*h%+CoIj<uKzgs!XSFhe!$eab)DIvB-qg)*i
zR=RdRC-uB{T*AVvvz`e5yfvH_Blzw7G-;v1=?jPcd*~p;fdlQ3pam_(Q%?Pj(E*Sh
zVc%sDuS*a)8U)z1Y|x!gnk_JpPAa_GPDlCb<b!JY835EScFHEd)kjP{GK$LFnW->Q
zToRDJ*sP5f;6@M0hpmSNza%#`+IVZn;(Ibg>aCL3bWWqF_T1&+-i<}ycL|5|sad*+
z)$+yn4*Dvn`E8Vsp7Rlsk>1c<Jo-7K5#)rbur)ff`=OL0LaJ0LllR#SORDd@!$m9^
zPjIw7mP?<^xPG-s(6b0?c(C);&pC~7XEctd^%(YI&)~Yz?|6~r99E{2XjceOLWfN9
z`n3+J-#K;Yt$JC#ZKO-b#?Pceyef8=M#@h2<&zG4lY}Ws%GRy;f_<p1WNTTkrOs;1
z40Y@d<_3+RGZGCi3RdDZNN;0EI27r3^os~Mn@R~-{ZALH84sF$j>jG*>D}-A5`>Cg
zo}6+|c{oo@jP$qK7RW;_u8&5zighZUhB2d837*T|>t@RIA}@bBbu+ThEjRT;=lNa8
z8gUTFVf=5d&UnaQI=3EFa~U*NgOp}<Wbkta1MM$(G0HblmgdH{YI#0M_*6m=+0Eg!
z5XQm?>)}+)upGjX(fP0dyHx2zj{z!A6CHk6=(uC+q3lmxfbGAR^$p<RWi!a(@v>=_
z<r}#a2J7e;`|%q!mpo3tr$O*)S@wb}<dMg|ZmMwFcSw+zj0sq}xgV8~#axhut?Ru)
z;u3nl_l(rRn<?QJEm+G%5r@W#f@nb`UppphRK_xRPzlw#T~LrvS$y~xBhYckObXa8
z^%16ydg2oUa+UyalS?R<OpPvie0Gp`XPhbUTh{`?adN|DIvT%r2H>s0QENwmVOtM#
z_3!G<MBr^8JL2^jYo|<M4q)eCSVh3GM$=(_Q0T4yOvWTX@;QBL+;M&OC1Bv-Q;{5g
ze4`O!j6cVpMdKBY6~XDVMh)k9<U;ifQ(x&*tX~2<WznQu*P{<6MzbHPwrx^#jO#m>
zq4aHlyd5mrr`b;JaP$7y-kRQp_)4uBkXlyg)|i3!yR+RNM>zl&Y{vW4Zh-~(o(||r
znFg4q=JIvm8?8JL9#uc*Jrd~0=v`c6gFs{gEeZI<gfcN4`kOcGV%M|2rlVHa>?YQq
zmyt065`>ZHn611v-w8Ju_XeI85|3*wxG5GvnPaNS6oJ4`<r!C6DUtJpiPC<ko}Omd
zW{mAOPmcTs>$4b~etql1zK0+W-BMpy5MYCGDMY^DG#qxRXN*w@BBQ50^CNeSF~ZbT
zW5;f@X_my*Tpj3-D!qIE$;yvlTR}j6uxw-S2G0<mRJ>Hr|0>lcXD7{Jx?hfE#O@XZ
zvE4|Vpu>cS^7%r7>ORzZTGqd0_z}*|fsH~<mniJ%I4*KHS9HqYD8QonSUf)Bnvl!-
zS~j*=^MnFfISj2Tq9WioJ=-8`Hz81s1*0(x$p`Ls8p`7OM#6T$5YpI?1@!|F-n~K3
zc1#AWQ3wL1huMVQ<H~$(wvV?4DGf?yL#2?Y$i6o{r9ye!2$z4>$t$NoclY<%nhN!A
zI27v-OZ5*H%Q+Z?IF-qi=D%}az0?3rn~9-I2K^mPs{nr)$9(=o=WiTb&^#d14EDFh
zS^h6p3=@TZ0xqHY_4XtGvkRyXur=lihH>ZL=V&nmC1}G^hX3>lytF&Q)#nF53XNqB
z0QB{Si8-%y0*XZi&>bbsq?`t{Psuz(i@_=hKo^8!41k_WgQla+k%1+;#buWz_qjAq
zLm{KCB$wOJmqQ0dhpDb%+BM%}(yn+#WKPd^y|n|D;l=0{uR}A(=}SQ2uxY=I)YUGO
zj*<++qAR1Tv;=7^px6KcWQZ5*kt=2}5;47MdJ#9W&=}zW7@Wn=?*U;4xD96xC*ab6
zr&0&#^4HHjhKtP3lw#TgV+f=6w}6^Se&Te*M$Y;-kWhVo?~vszlC;ftb=sTvHvj%4
z-e7b#T=Gx=%#sPw-?3~B04V7K#sL64S1}>F-&CE)T%oPRY}%K<zua7350`==0iEcy
z)XYy<kYZKhcu5CMua(SE)({y}Z*~3C^>kkx=(^o8kr*9O@4VU#sGo@(cpbov6<`K_
zs^6W}@mbS|Njn|k>c|21m*)9@0!j7nA00F$FDX-K9ePnw4jI{cdwe03Qof_=z6j85
zaD@Tx(VDpSB$AAi!og3NAHc(aqv(<R1(-RH?~8D$aGd4fpLrj7oLi5_g>TnsU?xCg
zfL%Dsdw3MEMh~T_mGqs+`?Afl1;bBI19<fL@F57SC&D{+dJ-B+OZP@f5uxUblLb<T
zu0DXb1cciU0alOC*#ZuqA_*7{CVW6hxUg%;N{x|&TynDYuIK0uY<z($!s5519QvA}
z8+yPYPsB|&29svr=yYtp(ATaqqLMPj<KDSS5W8+X?570lG`Ihy*P|5zR^a@!l~8$>
zc;;Vl<+(~#cd@L(U0l8EEC!YJFFrro05*TgZ7P{WFVh;tn5-QY9X!?m2syCa#1^;D
z9Ezb_&t9F=__Qz_EWwy)2Z*k6mS))j@q6<JS<A*z82WsBcf2+BK`{gM2_t;Glkh`)
zQPs7KF3T<5><3kYaRD@h*>@-{Ryu)oNuzjK^812jnrN#_4&erf0>bsPl60eKZ`bcF
zKSb$^TLESkBD!Di9TfP(P0T1T-#hy{s|chq1cDEy1ao(``ECd?y@LZaAmR8lDt8IT
z^e97egxtRZkK{oYrmCI+qXt1_P3Egj_i>1l*6G|v<fI_yyh6oaL-0jud($DC_!f31
zPfAs&#&v|G=PzJz#!i)=OD&!ZqYewTeJZON=@%du;lV;|OOM_Mi)KWibE~*fsq2c@
zB}rgH3Vf57%reP&TK?`=R~cNld-n!n0({s=m0cgImxWb2v`gtPn<qSaZ!=XW5rVb^
z$XLL9&U$3<(Cvey?Tha*t|_nJ7922F8I!ax!zBX|RRH*EBv3z+Bu@0@f*#z@<IBHI
zNt(he0Om4qriV=g$}kzMdPSPCv?YFJkJ~$qgqs1DSyYJk2mQctP+QuanHqCB&O7)9
z4^53;ccbG|E2Xh&ne-jNy$+y1`Ft~PaX>Fsd+b$10PyD=IAT8?-<WWWsCzM)>G44p
z;YX54;*3C?b10iHNY>uce=m5_Cula5cD%((<9|-K>XFW6>}cWf?bA=d$@dpsL6$&H
zIcnvtctk|p&Mgv?Ry3Ud;p^-h(lfiZi>>TcJKO8`%Gm;oj0Nx{&g22o4zS4N+@V{x
zU1?s!GY|<f*yps-2u+I*R7G=OtyR))N%=5lliTQa9zo-e#J1`cq>(R3ecl;-?vB9@
zRfXTeeC*94f~KLv!u%Vz={tKrg3zf=907Z0Y0EsyR>U}0uRiBhpShxj!*jQr^qw!N
z4p|tN`OP<wJ&zS<jmU|=SErg4@^qm{NCs&Ti>X(e+wPO0WTuPTG#f?ujE!<L;P<x%
zO2@{az3Ov2i%R_lJc3ED`aBaRghSof(LM|NWBO|PPmy^6*Ls_ILhe{}KdU;fyE`d#
zr{&=C+`h<u($z#y=HBY{B>R9&c0qvq8K=~PhEtGWf+;$I$;RD4axYGl0jn*PF7Ss;
ze=K>=U5uM@@B{!$;~C2?2P44}j3Wl~19vaFmxq5&N?S(T$MU@1q#yWTD2CpF?M|eA
zu9GnhFkU}CwQn?jN7q|(D~iqGPw(u8Oy#`JmON9W6zX1mi(<|d$J!`81gpyq=4208
zv12@R>2;p|x)Eb>ubG_46YBu!&gJ)MJYjo(4Lzu!`80n+g4oHV)PB?JKpnL>3Vs`O
z<%H?Um2!oV#1k+Pik=s1co0vB-Ly8vM1F9K$mC!98l^$-0Y{g7eJq&?yT&0-j_`7r
zHwqM2<h+rDHLAF03UOM1A7nm1K~|zMx@6QvYxv?XY&rR(P~8d(Q261o^8h(IE;ZNC
zbx~WumZgb$e&Xyi*oJ;A8yPNER;*1l@;#LKWUA*1$Ke2pa%LNUOvIg@WOIh87Eh;g
zaq2!@c(E-ymiinWk#iC$oKF<sdMv1V%B;LF3xoH}WeUI?+;chd4TI)SGw<Ik0~Cru
z!S6m&V=|5&1^<gp(n)UDQOpOZba`s}7-4s??v@!e@pdefGsa@v>#+u`{YHM5+5PSl
zT`!5IFANDHC<*0H-<2<rb>juWvdq3sVF;^Igmydv>DO1vuICJ;fQJDfl$#^}YY3VQ
z(q3G2F)BH2%!^qSVXlr#-jCu+DsP`jDOZ+%zF~t++|%Y}dN5F@HzL<J|DrB&Wka+u
zlk24&jO!kXt*fx*9!XiAMjXUXtHIH*GF;j*M2EL3Ra&&?`8)FgylcY9m>f`~Vl9X}
zc01oAW28%|Q8#LKyU(87|0UqY&!X$IV@q6~Y!MD7pHS)r$ZBn93UK|5t}ibXOb%F|
z*0a>UO5R9BWl_Q-)lT*XSl^il9`-t{H8MHjsn6+tmoplVB22T5rFQJmCspCsb{*-0
zEJOH&!YU<s8a=jCg<*PPo^yttJX}?6rxa|V-Q_sLNWqjfNP`lEYYw28m8l_;n4vuS
z4kHZm==oNrHS~j?y%J}FJ>lptxa&FYI+tO!L;e`3G&mbR>WDm%#NOFHe@yX+?=vRG
zN(9j^jWV5GvWmCN5}=8arRLr;$(L}i-80lkMroBal#^5ZUG^-g>R4`}#r@T!%qOVj
zOanD8xdDoDb%_gKZ;-JyHmXFZr0d!ze8FWvs6X}=Kmzc_oS#0k%jj;3rndb@G`w|^
z@1-Y*1Ete4-#fp~emEr-yh4@5LJtp^zRSz<9j5l!*j{D_uXdri+F*8WfHq@H>FoQG
z?Ql1eUS<99w}vmZf)~N!WY4Tz<7vbkPwd1B+WSsNn7tItJ(6QWxSYe~(RR45V9DaW
zDQ20yclqvG(~v>;!@oS3VU>4!U^QwI6D5$#VY@Y&*~FXNBYMCkT?10SCunULZ=nX~
zw&>BIICDtqM|rIUrbs&=uDmwT(`d}+4QRD5Cjml8y#$f2=f}BU3FDdik;IjhX!<}G
z(}jd(z^H%f7yI|ck+FBp#T31Jk3n`KmG)Jr8ha>;7zG3bu-Z@va1|py62Ixo52blb
zf}_#@bd6Y8QWrBJ^7-W^1|D``ht2-^nE8abGk*~$W_fi#i}-q(*5K+x{G@m*g;IH!
zi<nH12B!7nlH--!o!!yVotW9w0@z1aryR$&Z^Ub(r*MsnSj#lNagCOEC)d5?tx<rQ
z;;u|$`V6<7Gd0S)eCIF%x}?v$6((K5R%nu0elnokrH-WWk}1@Rl#Y6$6_i2nlJMg0
z@X}Pxhq9!|(4MV3<ca!W5wrH@KA21=z2H*K6&bYdJz0ApfK`-I)B@^6^!=~JC(B-t
zvg>xTjW8!7*S1cb)_j(DEn+oFHve`Sqg>13HD^MwxGO<m1dCkQhIXuiHz_>#`{_rF
zgH0UByZLX2I#&=@E+LD1t}{PqI(p{^XY~EQYMMSa-mx`FWlg~?*{nFUIiU3yHXUO*
z#+g`qt5^3V_7Tgs4_q`Ew7<>Exx)qn2D9ch?t06HBu^qEJHC~>iGCVv%<J#Yot_;A
z#}0!@i_4&+n@$8ehu7lH-VxKh6e<*ys0yc*$%-LQjiH{c@joJZT$3RBE7I8Pamd#s
z8kHPmHJrNFUZA2XxYKEC5Gvv?`da?pD<Xf2sq^WllVfP#4$OzJthWQz6Qn2O>xV6R
ziafNRs&5kTaFd+6zr|vtBZ(bLIS<0I*!x(a*cdT{L&lA?$J|YVrfh(ifBWLThU`?8
z2X=9YtJn*csulB~5T;0+%xY<oy(;J0$6hGac&3i!Bu=>P)|xtR1rw2<1X@mz`?~qt
z`&744Xfe`Z2udS;N5*%Vm*;zPjJirOP`9&p;ww$fyI*lR++B<#G*%U>^uFLSzOZsd
zCo_tUCjJ$>njrUm2N<Q<KK6me`*PNSvUswHYvTo4lhk?Xl_r+sSQJJapEtG3$vqRS
zzT^#rd>$+^+~VStr`nvn^aVLPQ=_X)AqB`i5W_bf+z(gMx<4*1w$p#kF&Fz*TzO@*
zme0r*%Jt+tNDb|$>^bi!ZM>asSM|u7<gzci0<2>{$d7UqDKoz&@%L91DWYFJo`dEa
znPx~CY1;Dcc9#VgC~`0}49KhPfkdg4icy6mH>t`R<q__YbaF}|^C5v+*e*<^yS|qD
zoIA<};gZBy@f7=+6Rrg<#@>0q`b*+FRZ@Eini0|QvMVOs5cc11pS*{a>tUa1w5qfP
zlXkt-%<5o&Q2u5%3^%=B&;FnuFy<@rokn*Zqq-vRM42T-SBnnU5u0LU{H|$0;}!oT
zO<6(0?L&9hJtrdn#UVe>^M;iCy<R<T4<t-uw45GNjGrG#1=;BJ@cpC2wmAo4oI#Xn
zVxqY~<4Ap?ahT2rf5GcPofNTR2O=BNda(M)<?x`U{~9+%i5n9QKK@4@_@$+=JRS;3
zi&psu+81hI(x1~_RI}z}vQ!Q0evF`-=<3rnJim{FXBFYZpk<Tu0+49k`l0gFyD#zm
zRkkPc<hF`%MhRS?Mp5;{42~n^_pfCyD-gPKw4E)GODcToxzF1Jv`ro8jxH<~p0Uc8
z-Q;g(eonz{p<k5!ZQu?>Mjmd{Vfyase6G`j9bywhn_iK^z8~W7vmdonh)@_O<{uf*
zqMA;0hC@#!mq0GXOC_%<(rsEDu?Font`o6d^;Z~1e9i9rB>^qg%Sik5Zkm9Z`Yxh~
ziwOf@ueL;qdzPs;Ibq08Vm?r&O00x%hr)BxR$s8ZXV8^*^owEG`D8`xCrAxJZBee}
z=sOu84<=4}s}SSg%S+-%y|n2?pyH71yy6t<9wnupGjDb#>wTT9fcHh8H^sio6!|jl
zJdOWha5M^M|LNRds6rQdoE$?}7I!KQS)ViK`x_~Y8yO*K=@6-|iphKBR;FDimG7Ha
z(XH?A6UdfAtzL1gIZ@$$dL7dhZ?@lui;`%z@PRS`k0>_vl)Scy>Joc5%vThnm#g(4
z_@bhRFJ2;YX6RWjU4+@)p|703!s3v-`DYYjc0QPN$enCPWB*pqjS(HF<AyqiXLnWM
zbY9>c#c3qKs(6mH=<lA@-Np6|efLzLVQ0f6V}}B_k9v_h-nx=<5UGG<sX!f#I=h&D
zk;PtxEM_r>JcA^@lshWJZlM<ry|CFLll~RCPR=KcKAb|s*nRJoGf168TbI(2Bj28}
zn@8!U$=2~GiLAJ-;9HZBCwa8HOTWW-PCu%$1PTZdW{Ks+4w2H+^obG{GiV>59Kq1P
zk5+N(uP24`BB2stBcY^L&KTTVs~<!JO_JvXYf$Wz^E9Eom|~2;rps5OIz4$Q67e>%
z8aAOTX5~FT==P8xb)7s$#Mij{@UEzbKUFZjEzx$qd(jJ9DCR)Vg)SmKqK`1%dU7Ae
zbaqu#!%XOly(EfP$NsVte>h<INqBOQ(^YN=Swt1jap*Q|!2S`g_PD#z`Tb*^i?@uV
zLVOlv!Ux#(n$pXXal^<8!Ne{CaSgC^^OmCM0vFAJg~@OC3BCg1$p-OOYpvyo>k8^4
zsJ_GF?5{~0{iy|(cogO@8GXZrlnLh<Ht&zp31Zc0&JU-Ue<%2cGM?00A~CvH?pH+B
zUBTqt6H!k1FhD&loE$qM2-I8HPP#_#52tZ672QO0K$*KTt3aCZDM7Av)m)eCo3jY9
zHRCS~xl*}am(8kuL(lHR(DelaLuZlHJ6Q-3ui6pVM3cOYZGqMsZP-k$1)3-!eoAuC
zMRF0;WcD8Bol-Vk+{jp%gA}_|d7W|k66-bRurT^VYgX1Pn9rS==*#vsL|ii-FLzb-
z{z15U+;L0Ts3L_J^Rg>SU<Srz@v4>-t%k~M(u$Wl%N0y(Cvy3MSO*vF8-X4FH`+3S
z34F8E$B9jH^nv*Xp=2f7QnC__#V+GPYiyYB8r8~9doJA@c?w&&<K&Ks6}9Q*pdJJl
zpBJ50kZN2Ik<;T3XBOi<ZO@V9++4OFdaeQx<&ynvWk`MjBQxT@Eox9_*t1q%=3rNm
zZ1=GB`-}`*PX$~ACUj0d1WA9LI7G3HCwrJ4koex|OFYLc9)E05a%zKyAo9rk<wtS}
zzR@QyUp7a#AhWAHw%LVtq>2m-36`^UkZfTTL?gNiHsH&w6OxilMGaEc;S=<0w4YD%
zk6?1k(5V?Z;^z`-Qc%oK44){*side&pG;=1>nc-tkMATIMP3$?^n(ga5G+chG&*T0
z3Lajx9DcEP5MzP9&E3}W8!L%aB90~ed}dv*gaThk+(LA51}KOkf<_G~l4mK}q)>x2
z*?C#w&gFB>yUcChJ#gL%rVR_1%6`cjrEzaZ5?AOF5T+ARFYhqGR9DG)=4!>{B$zpc
zG9{vBa@OyZz<C=vBRJd-d(@F|gghuVDCLLLk{b5wp=Xx%ve-pr*eL3l;*naf=n<dL
zBc$FfTE)5RYN_`Nj@OcL<kt#FDkVitTD3l#%nzbZmiM36Cn%lFJbdw>LzbK&XahZ|
zQQ@$w0*YV_f7&ff#2(K3f_m!3F%u&i7w0s~XB?DRY91~Mg1H$w33@MLE+Yf?2yz`{
zvlD98uDS3=J$cCjQPbt=d$m?&(X3)h?nP#kyuK2WQ!qZ7rktL%$f+{si<R<7muRx;
zpfKR)&-q?AHn?(-oj<@{WPEjxv$}c@uEgSj_()k_V<qWr*|=OKhkGx5ot$lf;rZof
z_Ak<_Ug|4eZ=u<O=#@;r5qEXx23LpeD{FYDixTAlTUIMF;5d7(tn8Z05~aSsTbid*
zYk@+tvJJb>F%(p%ziC0<H#u==$sk?Y{8@M?S{B&=_}WN<&{Ltc@#8@@*whTZNc2Ph
zAhiM)5oIljE|VF4!uf0rq0W5`-K83<R$fAktlsy1qtQ(y4|vXCv_b0FF&vicj|vH-
zDdjqRi7&q82{>d;#VaOG$jGwBd6Nz+ys;x@XX+6Pen9;?QbIy3R>-D(nDMRHl-k%G
zD1FUyO1P%nCGHpbvW8GosTFM2ujIk`B}nc3on<+sNtuyiN{kz7Jp*xR__6MwtZh)#
z?Pl_jk=aIYK`m~6B7&7s-YU8?(aU;GD9U}_-`(M{nJF}W+t*{oki9h$PCXU%?L*=U
z3_pK=1r}L)1;=`8Hy)*%#rKd<;ultrU9?8an%6wf!TC|vx~V1o^QSX{xg$pg5SGVj
zkp!LDp-^VU<aK6p1x{WLY&Oairn78<n<z52$q)^SpjXZXQht)OZvb;>dL~UAG(r_`
z7X)E=u>|Cn7>GrmARS>>eG~Ft!M7zWaXZ*o<jM5i5EQvdYM%3HQq%7|t%R*uHT~1H
zNd$tLkxNk9*eWIx*~iGg6BI>ijh9)Xo?;so9qu@yNI;voQ|m#DiQ~KH6r#bVu1fU~
zQ;JNk^PF}Pp@sR%xmYN6MgA$^dwUDNslAs9@3|r<uMQ6Y<uwDH&bO<wuQ(|&q|#am
zA;I*})O9**2nX!mgD$ucnZ?>Q@n{@AHfH=lWpbLymKT8yWHhp?e$@*`BmHb+F6E2H
zrNYkRr9~UgUG-0v-gv+7bAA=DmBA1fdatJ&eTP2qhgip#NEd>~uI0*Zng(=g?Y`dB
zdfxlYx|_pUQIFzLi`g|u9zA#6kZJug!}I7FxiCklm~Y#m+G=T5oqw63-ax%9d5AqD
zj{V!kCw<qtLoWwSVNIQzY}InUY!|hwnbPhS_k5pD31s>dQ^Bf1iRZ4hM5Fffjyx02
zC-w_}@6fsf3Ec(-?t7YrooZyv9ODB>>?z$0vh$4kCLcNVyL?W>=SDUm7~ff>3C7eH
z=(UOh)_mfW5(LL%X&DNQWV)?{&hN{t^**npPoz6R5R&tAH0y4-s|?Y;HCNpZ<!x5t
z&sHE@uR_^3MR5|w<%gK?j7LSVGF+HKq4A^xFs{+omh0isLvEt3!)i+B`*$fIN}QKj
z2W{c&ria{u)E&l`uMR>+t`}CkLVZHl3yS43=mbf(vDtJgM>i99?w|9=iVn1lCK*Do
z&0*o(mdH3?*spk>_E)i6u3|H<=>Ie)_g~S4yQE;v3@yB-Y`07`vKiE!9MqCku=iHd
z%P&_VUXf-+Q}aLHrAil8M4SCiOL63*YT7Pfl>}a*Hb%c5h4kC5%}jsPFv{*728&So
zp?nd|U{3p|-ofuzVB7g)vM+`#R<qDhC6gH{YoGNFArZ_#2M;tXNKAB<IM*nQ9i$(Q
z4!4%LK#_cVg-Pfhj2k$Ql4$F`)#cerr;@bLC_1;Y5R`5r8PqJ-91<Nsed2f?$D8!a
z(;87wxVTAAf(>||hawn3mk~#Y1BYaqy#^!1Idq*LoEnJeS8dB!SG@LHMq&8v(MY7Z
z>ovQ5ti<F42+2B2trqr)DWT^SvHV|Ou|Kxnl55WdVwnM#&pEe|F|xzGex<llLY$rv
z=ATsG-2`Mk^NTJs+^RV}$XVG~N*@F<AX~x{hpFqr%oEeW&LY^f1R_FuWh!4~#mm3E
zksf`w*u4OZ(3h4)yf7?Y@bkvQBz=IZ@<86bKzx<sm1QboxSzCKmwsFBvI3Ql*_{Xr
z5n;@D<>DdOsmp<;3UA*Fk=zW=loiY+GI`0a$?X1ea{og!0fM8!`Sj%TH<F~O90O8Y
zj~jmsX};Fo!=i0LeKoblAJ`4>oCTQ-?C69)<<SJF$?q)2fe@M}preFWTJppYz`p<f
z1;2w_N)MRn9s>B~M;Cm?w`l0ZO%X^m9>HqR^Wh&ZrLDQUk)G<%t>VhL_33iI2ug;(
zOjCYQD(sbj)_0ngINp6oA2K&2>Hg#)?=wF`HnYl2lJQ*smL+=LERB8oF{2>_79KsV
z^L~7Y>mqrW^`nR-4BbwiW}D#65AF2VA9;+J-Tkn1EG&dC>30+AdXQzq%a5Pty83Q!
zgxN|68j(47x4PD<y_~_7deYh+onhA$R#*DPu^}>cYrjRluHh&LS+Un{(1vb`Pz8#3
z^02_!<6LH%#ySEucGm15bzRO>O*HHg)?nz@ZcH<kui=Hv@y7t-IIiyRHhkuwFKR+E
z0N>@N$p(ea?~Y7hq@#dS3)a&|F1!+$Zwakid7ntoUPHyj=>*7<X4jo;Dih=dbN3RT
z&E^jxo+?KO_iDb;j&r{JUQaw%0qv%IyY@Vi7nCBe383-Ti1-Ub@I%BVMglai33V?Z
zV+Q@hxVVLd*!V<r^kDmgUNx4n((-L_a|;6$l31G$KJ;=0gAz9M;>uy;Xz{^>NC@5H
z7J7#Li()d4-&7yxr$K?jr?QNpo94_eN|RKO)C7fhrDwKeQI|qj+!Yce4hhGjdX^I9
zvWp?gBY=%PfE_B-1eaDXGi(tcg%II97Br%L9=#rfe@lyZq9ha1U<`U=C~xzaRcV=v
z7<9p1)_Q3IE|W&y#VRQTB8eglSch|$3%Iv^<6Cp_NFO=0-J4w$rN=vC%tBnIo!;N)
zfh-XBhOUQYNeEI~X#+ns9Z!P?OR9D(ITDa#DR3Pb7VB-mx$X^y3GgQo^U?L-u$)DJ
zieKjMC5}14tPyGE3Od0TK`n##**ScE?c5(YOLd)XR5eXN;Vo#MMCZYs%e@DisDK~c
zHEoE*d8gJk=$W)N_^rYSN9ogDNV4=w7^xAh2U|c2`~5qA>d^<nDBXvbq9N)<#wQ5%
z5Fu|W+rr;dp*X0*@5_OZzBf4b&MFXp)M!oZqQwU#Cpo)pTi26^g_a7RvrPWbm@f)c
zD&stnP-=Kria&s`ix-iZ=b)G3(ERfxCkP{@#QI%g6nibbtNL+c^(pVL+Ilu1HhoS@
z3sX(-K0qff%=_S$%QtmpBN?8>X#S?0+Pt#x16EG{-hAIn<H^%U!zXU&KM2OQto*QA
zyfM^O_ChkW?Nr&~w?D$XqpNS1iYwsQKzIgsAvpaBwsYKo;;n#AE*xP6>c-pSFYU(N
z*xEp4)_fqoX*Mh78=3wr4ms~6yKx9mvn}_Xmb|v0b3R<_vq($t4h~d?gs$Juzs+a3
zr|!QJ8zA!L6k?-0G6GEL2e63*RGi3^?Lk>LNsiifGQSJd*knHqdb06=$~e$nfdTZt
zRclc_dhP}m3dH6x5GUThrk_nhto33dNHIXBh5vB7_3HF<XP-4tU~Kt5&hprr$a5M}
z>XakVFI9QDk0SzPk+*V=m&s3Lq16e2&LUxHU5BpQ;~cPw>t70vLtblM^b<^;r$vUj
z^TiLBy^5OVz*dIV(@%ClQPl$ae(1PZW(1Uu?Rs@qKr%s>;?SF-Dhd==kNq>EGF4Lf
z>G8qd5;DKsO=1_p*OLCAP>zYxJ-qzRjx>86Y^jLp?ZFpQS_i^I-ZSbqCmTa4O(jVg
zl|E<R!@|M#4qR#xL7C{g8<dPLk|^Y)$m4@_hf{JiOU|1q{C3)ib|ybi5(c7{FUgsK
z2@rp&dn%nlBZ>SHwC`aFeOxfrlr$(6?^@J)NhF@d^y6L(+C05fX8@IeoS*UGbB8bO
zR2(m#d0(C%GRVfV7&g0sns7UiuK|G~kR?*-S$75BY4Q94>L=-3hRrio#$sM27sM!&
zZ>rj#e|tAKO<POwgf?Jr=Jf}lDK{e^Wl;<4Px?mfwGwpDt=3yqXRN+E&*CIc=~wAH
z%0XM9U9PzcYV&;7y!GsQwW(}6D!36kK%PLxXQOtyzaSS6!?Xck<h4!}HL5Y#M+4HP
zu0J*0Ns&^Uu5GY;<X+h?Rk5qo`x^K1_duBqytdJA19n+=I)@jU-Pt@vfpF;JrRTEg
z%Uf}2e*D`BkM7A>6g)FN;b>4M!9AJGUiRL8`EzgX$Cr*9pskqarVXRS<~LeRc4-O|
zw}(@!)HJ(@pz5xAq1`oNTnk)}@*j^0TXo1Td-W7lXTW%%+)kF3_7&$R;S+5AI6&Pe
z$)2wen?)0voinLq3w*mc-bOVh<}}C<W~{Dxa!)yn4{bNYz&3Fpo=W(YV%qTF96X6x
zH5c%Jw3+16g}I~YTr{XZmRcHC9S0dCRH2_zN27}|(B)QE(5iVYhmp8uo0f<v2f%Iw
zAUlYM#ai_6y8#hGEz3=8{2EsfOMh;GbQB>=$Zee$IA{nDeOXOqwN0I>n$&VffLOuy
zZJOmPq-O|3ZYw!hbqD9`300ujxx*4J4huLRj4TWX)owL4upWmgK`vZ653hfZkanGy
zD5es0)<HNhL@jKT)dmk&&j{TqEb<?IU8rN0B$FfOZXM6ySqD1UrS}fmo5AV%Rf!w%
z)Q_TzySWYvWnv}|3hI4;>JtqQCO^VbvcogX;QmI~f)}mZ;XMwhx?6@ntMEEpb3-;D
zX4MoIm$1@G=4m+wyK2hRQL!;6)p`#iy&~AlsEJm&P&j2BWPbs_sXpNTUNj>8Ya)pO
z9m%YBi&!`aNSqTWAL8veKa-Xkt>W_VjhzFPCh3$2%?NElf|X>R=6LZFIQ7?nRj+5%
zVe1$1>ro=xLfEby5)l5`9V#8s;=_nKH^ljYsZzwwcC~LoA=uhP5>3>e2*WdO_2LOT
zG`iWZn~={iHdSOmzY#gVC)Pa3M@BxiQSebx=L{s6g?o}wmb)XQ30~xDHxb7$>wD+e
zqCpX+X`{cu%r>Eyj*I9VAZ-NlF!{DfE>tv}gFg8-20|9ib)b;kQgkA@tx6MY4NBu_
zR|z;R$4>V1J{S~N><^)g5jYDlZ{*S{Pd!v53=X7%m<=AT1a%+okE$EIID9l<E=(AP
zkDv)NT6-O{K_AW<{{d&dNziqN9&d=Lr>|0qKWwxdr6Y_LnvpQh%dN4w;u^8?W?H_+
zi#)l1o}#=JZY<?Ix{(x*#Ky?2P2fH?nxu_O_z+pDytbyWgE8f2|G}*Qk+1=%$9E(y
z0v~kq=%ZknWNI~d=0Dbso4?6kym<G;)lE?r$;S=j!~1j$=yBxwZqsS<<1|tjS1=r_
zc{y45MSfi9aBSdU2BH<i29N*p=6m_-_|YL3N*ETgnf?V}Y{{dEZsPmght;{lo)J|r
zw!3}h5YQ{JmXsnd_od%1a*~qH<~Bt+s&p+y#kH@^;aY`Z+Ect?D=qJWhV1}V`Or4U
zw(E*$RBU$a5;lk^VG>%m*lfS!hzdlM@#_smg<I6at*<gx#FS^wGx6vQmYa31Q5Ycw
zlEoGvK7p$R6ESQ1tEjA~3^eKBNsIm7uhV_HU=Fl@2}R6XufXP@+dUZfFnWmwQhvAd
z>1k^7rat+UMfuZOd5}AS(h^^h-)&}VG^3awG7ua>s=G=((3A)!0k3b7FiMNb`>n*#
zi^%#zfhJ7Bw|K|d2DNcVMxBm))ajUh&<}`jyW(m3h>cy{Mf&MWj^nKLCi%KS#8%V?
zmWrsi`IzKeQBfv85h3IQ43U}kjswYC)!e51!!I}<i^jY4sxVkkxy-S5<&3@KgA6E9
z?_yNf)<aX|RN?-2WjFqf87AJP8<e-McsY)#yABXO8-t8_#ti1i`K0dBkC{3Bw26oD
zKUTvbX)C%{T#Jb;iM38^Ka7zq-4n{t@jS>iGUE<Vci;vHXl$`y#3wU>_faF;$q-Mv
zXR2_cKnsoYVuCO**>D6*c`!=Ex3&i(#Vht6ZFc5gbvhZ@4_@+8=BRI`ZieGhVhA6B
z?Q*Uo<g2NeKC;dx^oxYwUgX<s1RVB}LL4%|iU+iAn6ygyxbe<Mr(k~Fv!K`xh9@hG
znywwtO&ro0U=PEwKrl+>EZ3=0Aq%5^^c?yo0TtN*>u&$<Jl7=VOCwsOsvdn~!CcaL
z3J0u#7~TP&%`_dH1EvCIlqoe70`@oreGuJ;6KQFp^7BX42FJv?)zZs}<Y(EY%uKJ)
zx)+F4MGkk064t6Gh$+5mYfEAw@X7FuAWB<LA4ossoG2hWdrtR_z`qG-0Cw7vuuH+K
zu^5E9IfcG0lJM>0o*}GHc#ti<D|O8fOB2kH^mV=@H1Do=b|6M|wBR(51MIyfjUV8R
zxi|1&l+<YAZ9NSSO77k^bX{%4Wi$>#lNbIhmh4L;8@&<qdr(JtSVmcXBNM&ZuOdC3
z1HuQbKNnhEosccc_Bv*+>WblygMx8`Vs$*f_?;OCT!rx_@Wo$3@-#LTit-pLL=Akz
zgQEvMzT)wrWI3n2<`KTR&vJu}l5XyYJ%DJ(1GA-z`yPx7=h2ZO5u|l?!gQm1C*MNw
zI{BVlN|K!lT2RZ(CT{dNFyXS6Ze0i+Psg=`oV8v}=z)bsv}x#_`O@6y(e8t71P1P%
z%8i;E{;ZWXlAl^`u7BU}H;v363CU=-If|U*3Apy%uYPAYhxb&8mxu(p5$0Kh2@F6g
z96F4wMy(5rAcHx9tp>ecymw2|bMSj(NX)tqdkyDfUb{6Y<Nrj+JF$eS^OE1~*>aXQ
zJ02bwOqEuHP&{;0f^yC5vLc1r4+a+&^M))tSuMu(3l)=%QdCwrvWq{L;$6>0-9(ZL
z<WqUfa);V8*)^RFm$ibLc=l%_<L$m%U=yKI4!@GSKN1u|jC`a6MM4f{MTF!yi|CL@
z@xiHEQ97^%d;oq7@j5x=Mz8<5*tkBdYv9EA3swb4_kQJ%mH2WLZrI4c%6TdbCMS|5
zd4}nvA0$6r7V#dM(0f3orQ*~DEELB14FoUoo?s%%smKalvVy7^6f=Nwrh}q8r$l4%
z2T(UliW?FFSx;VV&(q<Z(@3s-M@A-v1R7gyM@08wa*jdv9q_sY@Av&2lP2!8BvHjN
zqpUe&P<)?hKF=te)dwz$_gt^G+5|)A(`lL_^!a><15_{_hQFIgh>Ws59)bk)qRba7
z5OE4`Q?uT=qxkA}pK|PsSy?{I1i6yboxX&)g5Wh`6|k8imE2lW4L~u8JAL6eeZ-4#
z&08ous#2=<>zIfKj}~d18yonxY#0@g%=W<EhqTYe$zkp+fu0OmfsE@TJL2V;Xl`(O
zoY3`5o|-(opC$1W0}Q+bG(C1CFCHT?_-(+w+9k66G?zHYpT#GCj+rw*q#BSSHUy-~
zxshuU4*L%PyY>Z0=b6}5VY?`%n4_yKOnAQm9_BY13Lg!m50CP{`b9w4N7@Zz0ef7H
z^m5Ge#EMn_`Tqil)U9pqzro2$(PG*PTeS`UY(UG?eTc$SlS#xMAEC-&y$tlPn5LJr
z#&Bz*P6)d!%&R?CltOSuvQ8Mn;MVe6{UPG`p;BFI*slZ2ZcWu3ot&X6wE~o`X)}I{
zSNF9IBfh5ll{aV5X(Fp0Gb?Agfqeu;zfbB(NhxVWeFb@r4eTfPUQzp>o7$W<lahWO
zFpa-Mo|_Gn>G)pu9W&7aDphQcF#>8#LYW1Joy-RhW0RWs<%|+6frRmT%}a2}mFs;_
zT}tThj*nicbu`M!_l8$g(k*!Icfu8Cu6y6dVcw;m$TVfnq6&YEC!6trUlr^jqC`dS
zO5rcnNRk_siQNUtp2IuuphF43k+)MeU%XvOB&63^6Bah<M2h&<XtZQUK8V-lIF>YL
z-X#^qc|cM7pe!TZC4IeVUyQUric#$)OT1f924rlNWz*1e=_lBaK%~rIgZzVc)^noe
zl))y`$wcXLdor1@=o}<Gufbj~h{ZrP)>qCGsZfb{I$VL4{w=L{&$Jx(tMx>;`a;*6
zc<<EwdZHgWaMK9neL#|?b$Fk{$^3lh-9+Zgf+l`Bbuw&Lq1X%-iTzl%_m&1*UYx_F
zIp4YyMD=jXiK>RmlQY7mrcJ$=uCd3@r=$blQICD!KiT{!Fr{K#j+0S$M*F<FgAcKV
z?D`a%PK$^Sw}la{I#LjlL>F(kioB=<yKGFFk4mnAtQP~*HitUq+mCwfwh+w0KvlH^
z2didYP*Hv7uY$|W1JAYV_~?-%k1`k6m<BN;WR2J}014R`ZZU&gd~DW@cJK&7-gWT<
z))p=Pb-^py8($btR7Kxa-KXT}5$wCaFg6ASbE8#Amlsq%!;j**w`);86I*QFs^#Jy
zK930B;|Rh0>J3A!=9XS;Jcd63GN;^-^(EI44p7oldi32@#B&2~_30In!ipK8T(h`R
z_eMT_^Vzb`g`!E&ChQO(`r&R|jpfxhkksw-U?6_RvX>zHfMi1?*iRQLq{%G6PdX)F
zKd<)CSV%;kg3o5M(oneYcn>L+iUPO;anZO6SCmG7!P`!%v5fFS`<8>HecIW>2UImL
z##dqF&N6bjMJ<pGukVA1MT<b1C?3-xWwkklpBo;e=$lQh{$PWBX#M8zs8fs@DYl>O
z0Z~D7Q2j<AIW>vtSzK=OSvPr?5pmFs%>|7&1$*$eM#)|^J;B6x(;Vk1rVFkNTbDt4
zn!$=^d57~*>H+C1KkpK#_~VFGeqKJ<c+!;Z%m#ecT+&5^bfalQD2eR&nM$O76gjTn
zG-g@e2Xx;A7KzfBYzl&e$!A_OVK1$AsVK4@I^jL?7~a$9hYzfmste|NOHvJEy?#<c
zxS2yfp=PV;c0L{UoKo})c)B<_z1$+>zQf38<Y%yn*CM2uL{U8NWF=v{I4t#wks_tD
zZjJIdq}pq3>aUbCfht|*!6y>GDTb?Q;WPFo!NMKBO_Bkk|3lMRg=N)sZCeneq@}y1
zQ>44QyAe>32I=kw>24|MMi8XCk?y$ZZi#>Lyx+g$akz7{Vy-zyT-P}yc`iJ;<FGQO
zKTO4v?uBZ%=yFLKW~s8L!xN6h@%6z-g5B$O8~x?wnPg#}C9m=hE}PJ=DDUPcwS)W`
z?3t!#;Jl+~z&$3t3B3iTLkt05gWZUTFkk`LRhG;GevL5-*G$in%;~GoTs$8MSY=(1
zAX)>CmMVF}XTac(CLaxX|3s)@>uO`{WfazQ9vA9V(XnenvHuHV5-^&+VTBie>o`g~
z+W=cpn!#%N=KSwup)5Cx^8bnObMd%%bMf}j7^mBxA5X+1u+c@)X=r|yfg;8_iV4j~
zZ&igIUrdL~dEqye+5Gk0rLWx#%ZwTMXg*BR51Wab;vf)GNau5_sllg2$bN(-RBiF(
z%G3S$PrabP1zzl7`zD&QaW35D-F>5(O>mZ=&l6A*12anS6av{z#joQQ3@Vv-bZYMn
ze|zfv7+6mSRxKcZix$PQwAO2~gDN8YSv<Xc?NpIJ*I-Q`sR4wxweDAzmp35muT(8U
z`K!KvkAwIA#(%RqB`!T^llxAEx8&de77y<Xz1FGG?yqnbdrky<G)^<$4Y2WWe3^u)
zG<c1#iLpfVw4H2-g2&dK__qK(<mF0T=4?~;ZK@Ml^!w@2NZtE^0rt1eGEZRb(PE<`
z+$<358ToXNOZtjNc0EB`^<wdZX9Vw-fi#*5{Fx-3hSerLGRaKxFke@CkyD86`Sd~{
z!>RFWgkuBA3)0J5ObYiKJhZ>@0U_dYZy`FR@K;c+#(9Pt)ZCWqSF`!?{ed&`WXQ0P
z6psOV=<U!65vffz*2#Oh*rZhWBuW3b8o_(C&<ek&uMaBpe<cNQy|^ZU_SEPt1h{as
zKiaO?Y6>U<@7ri5Z<J;d44JasD>Fe+0T)Y0C{tj<WH7t*iA*V6?BnKxUl?>;AD|wk
zua-hE>A_lAm+d_*?`Di3yPd2D903@yl#8=1D#|@6%18o0)qsBYDg=c{Bt`Yh3V444
z?^tdpHXjEjz7CR3#_cZD(;MXG4$69GkezNsFgu8R>kdWdiILsn&a{yHjQKzAj2$Kv
zA<slz3HI61`h>!P-dVIm1=##k7TG@a3;C0{7M5*V{Qf#$gS&=yTh%*>Uy-!*bEZVK
z2pSeK_7)T>WcBZiv=q-7i$Y(d|KdyP&E1hr?rOr{JVEuTsUv(Cm`Ig_<?`&N=%{Eb
z#njohH({ZNJ9j7YxeH=cu7MH8z-e6}{pagDc<5X-qqrb<tTNBW=#jo~@4Xj~4+A{c
zoyub6i+{Lt{MLA<xSo71n)i4uPHwpTKSyW|c4wsI+n>Pm)o}KiQY{^XAo{;Oxyy}*
zgR%f<W{TRUnKKq<L?K(?5%6%Bf!Y?UtGy7>D~d!A{J$NDub(^oUYCf})?I*9mrOC1
zbP08Nf&r5BIraSdgtDMT*s})X+8$-~C);f>bN=F@MYb0ws2K@`aKyxx6S%$MM^`9U
zHpDoK66!YeJ~6V7D0h|2tz!TQ*nmg}SYO`yR37%-a1Fr&iCz4ZVAJndJv}EZ@_BzT
zK$8uFV%gyf_4!s!;K}XX<|!Hm0Y=K8*gigw)B7)2>?DrXw~ZMt8f=8>piC7gCF%c{
zD>@&);ME-rZeAr=twIFdj(XB<^5@L;-x)CLe7!OPG(NI<(Tv%nGT>|5sgmSz*|QDf
zMr$BcH$GV;ZTb8k`@mI_)a7^ygv?!1;a8Z-Z~bTo&@nNvXYlD*9S6YSh3|L-I5@yp
zlzYxSFYiBR{=jI^+BDehl@+j3Fyp3WMu&WXZ6BYbUupyDkqJ=Ak_ywMavM)}7_~r$
z)C4JG5#rhd4ioLR#P$k`4x%Y|YmTx4o>50WAkVJ2*^mh!A8Urr=OF(tZ6{qrg*k3H
zr~o=kcq~m&f3;STW02T>{4tpS(|yek?lgN-V;t0)i{;4w#ja_XJds0}%00cwB1F7M
zLNf|}8*+TwuxO)tlu{Neif5B1*%Qigvkq(vr+?riT)x|(LwW9G`8>J(NOzTUoj{L4
zIJl;-Y^||f6~OVZFQbivEQzQrp#Sf4IE8`+Hp$IVj0#k0W9np*ul_~^*&q_avqeCY
z3jNAZL>MOix-T~n@O>JAn*<y_84l`DO2Bge7m!()T0dHf$F3>CW_g0h{101%E#bPF
zKWFEWCrBDdDuD&6rv(11zi@=~4^fz=Cz;g#R2Pn)QgiPiXnUt-PIEOlGy1WR9Z;p8
z_c^8dV=<28P$>W3D>I1zCBV5268n>Vm+*GCi=7^ds3F;^yfj_W)nMY$+qGo#R;u{y
zQ&!VnJ6$3sdtBYSH44KL6{=`qyAJ=0au7}bxf&@pp&V|H*{P#58YPPw1QHVT<~XFd
z$tHvO&wUx6XDf(~edi3SA$j~83ZE`?rGEtp0rfcgLAK|)^zctlme!Ywv+{4B=O-KI
zbrW8uZcGWJ5pndvj-T&Ev$_O*3s1;%C)MQ8eA`njIH@_bc!G$V+h_d4_#`l))?F*|
zkG5ow3TzzU{I9Hm_*E~|e|dx<#GVjJ8;xw(1WVrLUn!r!w@ZJ{P%X+G1BP<4>)hTh
zlu*f>ZS|DC{|;~pEHdBVT%|?L;%#8}wh|!7B`9Iqg>=3Rdqn<)%*g~Zs@?9*Po=C+
zzF%{EhS9OFh+@?U`mThqG=XEl_SscOUHM<1XB-b)5YJe&;{w`j(`X9CJ8V{@AQA~h
z%|PzZPwn9%fv?e$3>Yr+J2u_7KOs0KVQ;Z&!;3K>(v;!Q1hpkX#^oGDAi&6CHiE8!
zF2Y^P@3<oeO?JIE1p$Vs-Y}>VA3y-&Bfrb-`^JV_^3vk*7kUfYdN`t|g;v5HsxX(y
zkSC8feMqG6Q#C%%-q(0sp!Fj<6iyj}BLbeyo((Vu0H<;baBN6B8i~2NxC;l@(f;>4
z?_L`Fu(5?m!lcyjyUb(FIoU&5{Jd+WR?_bVZ&7#p;{rHxE82l>&1nKuTDRn4c{Ya1
zY1ca8{-AtOR4>sePm}34{BKn`NeFRejn-1sAplQkPCFzU>73B}b;k|Z7YRsB1bZrC
z8mWtHPf5Cq0!4+EzI_M2#zC}xbiWu>Kg_5m&rlZ$XX!af-}fO|PXQQ;i!nd#6-#PR
ze<#Svfhr%>PU}!HCLvV8yQMCtH-BI~=pk0XhAnNB1&$8~pd#FvF0l>P2c9qTUAv6*
z+bBv`S-xY?DaoE%CWI$f*~k$Nh`n%nBlU6NueIPkq@hdq=D~SwF0~fIq?gpd_jKvz
z7T3p5S?P9_cph6?_LNBNJeZ+9i9L{B@^$^N5XnrQ*h__H<>j%Turq98!uXTMqMZ|N
z?z|Ed(FK-GDaRkl9>;2WBsSGl2?#}mRlU*p9}pjxy2CJO5kw0p|KRev9RD-|=DJR@
z;Z>^kBkkLv3eebiH=159)7+`eUMPBas#AWqPw~7z^IHSAH19c_XtFHEO$v*E1!g<n
zCv(N|v{EtoYuo8^udYqMVVTLwZj74yG&Wd#_j1VXL`&ZliaDK4TLc2XNFfMzqjV8j
zaTOQG6}0m~emtSwG{w^>VnlQ^WZ07-e2fQwxtD859-ib_oGdgVGvXqTQ=P}9&h$A9
zZ`B&6L#FToGJ-ebaWAu@P;I;_Ufv;`MW6X`=Dsc2wm-VlV$5%|y<)K^&sw!o?2jH^
z{&>FAIu3YE%^y@j2n&<=Q~%dB=--()AO2xn*eJ;axezAKHCPETMoK7<{#|7sW{v<g
zS?G~>tQiRJtp{cy6Y{{ht=xl2)&5hE#rZf*7m!Fa`4lhvsLnGwA7bP^a4P1U4D;DO
zCVY?OnJ^5VG|iw`Q_@(wej&OsY1fFUIT>Rk4sz#7qj51zXJQ)fpAWu-|Nk_zC=T&M
zpc05CUrsKZQPIyIvbZST7~9<YBbV=MhK8}=SQzo(p#V+VFf98<0nvY77&vFFHH&xA
zG`PN6MAxmkOA1({$&C;Dq53^iVD5PG*trb+U0vDlbc1&xi~su;hNV^^^H+oV<GFG}
zH9m|~XXLBe@dAz15=Wo0II417gOPqI9W=YpSM3S6@h|bNVpD&bJE(nuy}ox9m_E>S
z$Z8}u>ahhJ#b6?|*o%zTZD<rYdg;Z!^@0aLlu#gN2XmU*HB8s3XXj)RH>AfxF+61I
zvWgb*RH!ISYJ*PNGy}Y^=UZV*WiTW0qT86WIAlr~&cgHwpqS-+ILF#q-<w1SeDdLp
z$kj*sK5hz!<<<IRWF8QXgBe<t1p2JVh$PVlD&{3oUw~ssA-YLRNCMm2njxs%FMwA6
zSHHD46s^C2bD_|s^>5P>;S2@(Z-&aehkk%4P(D^GI|de5OP&X@x4F`E$)hJU;h4c1
zJ3;f(DeHqmuzsIOh291Nh71Khf6%e0sGAKy+Ju(^R74;(AHHo0Q3XP%gksBe?z1#X
z+ckO1sA=6E`DeSqgxS!-4+~9;2QhAdA3@>KQ<wnU*OXC0!0wX7Y?$T5%`B_e;uKaz
zYj7QV*kI_o4y(Y9#vEq%xa600cz>*J^bNRT_6<CqtfVg;pVHZh-W&Wnl3H&~w(Uub
z$%1F$9gfSYLs0kkB|%@?-3I+7Q`u&ldv1pEKqvJSA%bHs*6xt`65U3dw+Nwbv*cqv
zo`{~(9Y5OoE)3EKk_%|wObnwqCg7STDkDNq2))uJzIh{#z5kc--YFi^w3-ny%6eg6
zk5PvnWd@vjHpraXM+`c3p<FLu1qF?AE_#M@y$t!!3BiuLbEyn?Q{pA;d(?L?m!*7u
zAdL(*R`{?E&~+nPRL#&CaAda_T>=I<P&`D$X6QErL6F4d!7MYSr@`+RhhQoZv&X6M
zBKg>z(RU8Yv*CH9FH=&Vg^(?Fo~2E|<MZ0X9E5=)As?@|(%cHh&2pHL$$H^wAP&*0
z{)h$KzFyF^biX-n198_&U(L-1WRHVTy5=;4kNbZ!UpOV9g1hT7u1V2?pXH_KDm|+)
z9k$p$3wN-?z}rd;F9K(~`(IHEWGkw%M-b2Jd9CD$Bjw#<eBlOpALyp){Q71M`d{(5
z!HbotpwI6HLzKIS{O>3K<5*)jM!$uuO#go@I#L64S5U2$O?W>6+=RgVE9MgkZol_5
z4$_n^%x^yU&br-_4|2M=SobAfSh15@Ofb1hmHGAm@h_!_q4C&02@$-bXJ*|<%n6Vt
z?paCR8AKG#y7=AryeI5-n2WO|)cf2j)ejd3!EjhG8~;BCKRVfXi7JiBL{GOa(qo3r
z8N_$|XLbbqL_fXr-egdOAuq_p-7xLdRJWSB(&X^M{|^Ol1231sg--GSa!2>ondi%#
z@;0pJ=4UbvI@Gz}+<~mdoq@%dI{^ydr0(_^g&UHRdiN3{lIEh3>PUj;f_n~fmwZk;
z>+R;<MP2kAYzD1U;82l7_I%`>eC7-M_8a<Mu@s;aUK&%RYqZcA&Y)+145aBScWw)D
z&G!7;&F}w>t+TrTK8Rxr_QSSZnVZ{gW%di=&hR_-|KibcXecorH8EP1f~NIgf;>mt
zz^wC(a7~O%+I0^4&r=kQ9_WuuJel`}IDiw%rYZvQK~FjFO+gfAQ^>pwj}vbZS&y`p
zcb)H#`yby>S?HBv3$Sc7Sj`@T5c!&Cx~kz^@7-ZJh`L{z!3&MHipAV#sYoqV;#o+D
z5uYrhgwmt+ne|(57i7CElg8k3KMZaY3A*Fb+%0~Sy1ZS}QA|gpf$s+Q=epcvZwizl
z2!#=MGraoxCcX5+G;pO$BjF+_8NA;Paf=T6_o~42+~NzI;*M^=2QPg8!Kj@UvsVu^
za=n5hLr{r2wkEc7CD}jq<N5?7q6310?-M*)@-ZM_z32gSZQFucjzRJW^Z}J1vut+Q
zM#N#t;P?0@7dR^E=goAynV12dGI%wgd7i;?1}Gv^O<4Y8^X&>P)~aAbk^AhBCPYZz
zscCHEgk;X_P=tG9CDx;N6ftnHDYwZTUqHr6GSo^`nV%iAsm}@N8=O|u4sLqaUbXw7
zhH3s_bgMVicZ@CoC{t1%c)KGkox&GP704O7r@0)qq~0-npTJ9-Z6m$iNYN@*$_3pr
zG{{Mku8lA|#JOna`YJhmcsgy$6}u+0Sgqtcw`y74E~G9EML$&7>DS300o4`PyNw<s
z@V>?Li^5onkc31+z=G{Y@jIySJiT#94g~h(Wydjo0QYff)D9`n<aT_6wE$o`L=6-(
zMC3W`ZR(?qJQ*8J<tuGtubi(&W@h!4+s5MUc@^+d{#*K*Xi{4jXf;6oB(&8`N%kE&
zjoeqH;v&GSQaaAReQ(NQJVAy`_CLHvGTOLmmMW9i_|D|}!c=(lal<T3534}cbod$K
z!;7s3#slSPs!k)bNU*|V*Wh<)$5?6U3haRQ5W~~ogx7P6d!*13Ks<hl@EtxzXir)E
z7TlZ7_Sq7OkGI(w8Q3Ujk#v^biT2zB2-OyqZA)vOZ&s6enUY)5wJ+ZcFU)16CUhjB
z$y!H9zhkw&G8gF=Z*PuslAbwo`nC{Bqb>GFAMM|+{jtI?=+lL|FI_kab&a<;FUn%k
zY`1SC`-a3MY;+UB%$s13^2>qG@tR;UKqw#|({DoC#C#M+mo1iiJSuk}CP%@cOydr0
z27CMxke`qb!z!?(_zq8!B>mL;y*s2R_?Cf``{gcu;Xhm1s^4=DMdr}s3wSnBT>uy>
zfUeel(jf*wRN*;p*&lq=VSr~MEkX&qB>9S+K8-tWtCJ!f&}DN)-;8<sINX|?Yk=pA
z0Rv^d&AlyXkrfmGhbnMAXZlja;EulpU{DZbm=DzPVN{#|4Oio*LDTOqp?+A~hXLtJ
zLy*t1)ZWJ&7ppD-Hdg~clrZf#$%gp*Cc%HEAA{Y8G_{6wGyr;QA)Zv74Un}^XjH|$
z^g;pr0R6WO&?5mY(Hsy!wYgt4omha~9jJXhfr3czb}ayy$_YuVV7fsSAnmkM?8|5Z
z?G&h6z4X_Ll_~ORrT=#wD4Mi}3d*DNshUbWCx=y`nFa-sV0qm_LuGDrM?C8R#vCYt
z`hGHhHAM6oY?tn!0TV@tk&y?mQ#2xrAjSq9s?&ao7`rZTRmdPo>v=>2xRw03apBdI
z#Dd<yLb@|&>2k922#SMpX&kglcNR9>P*eA-U&+q(pqXUxYW`c!)snB=I>|X009pyq
zZUL?KhkYy>GG+|6PV>;!yhV2XCmx?^jVz?P#y2QQyyH#2S3sSm4-QFy?~8)&iNK-p
z+8xgYVyAHh@TBf!Q5LAFDDuKpgCgG1=3&elcpPoF9p7E-D?ib}hzZir3;*|JfK$GT
zyb6>%#XkP@=tX*ql*!{<3W}a9`hd%)a<{~^0J?bjkushDb_(QBbyQP#`8#JaBFLwp
z*aVbw7235sk|bV%#1#Pf0?0>o?{;kJ0Fze%U~=~u!O08UT#H~k1%*q%W0Ck#SjG27
zT*$}mxP4(E=XI>yf9V@IjyjxS#yix@b(}$aNn$AFK_Z4Y>T?Yc{Da>tju?9(Hv>EZ
zo=Y`Y*yoMzSNk7VJ=w$CfE3QyvD>`~JY!HJvz@CFZuYV7YmG|<5Z!54AbX*9SbTBN
zc;JQ8e@$Qp5a(kP3D(1y@HZeL3)h6^Qi>M80x&{OqX%$`L|)2k3h<F{d4cmk1eN3m
zOAP$f=RKupjMjmTj9NgsLHsn7bW}Sgz`hU%^S^bhj%~RG-w`)|1PZm%92ao`??1r$
z1&ZZ>MGAWLA5e*u^8p`#%a$w^#9*>*JRa8!5LWan*Pyo{h=}59VHi{|1tXel&+i?g
zKy2u?5k~X&hS`zYxtbGH`iSCS{ZLs^Qs4YR(PVdI4R~XHRPF~Mdz*GdgQlLyB8g>E
zT6WOP*qQP87o)16-w}ap?>8RX6E=eq=P&c{7vdk=d|Ml6=iH8^8EQ`g9EABMK#~c&
zT169b&mHO@0<7x`Is6)33)CBe)i^BS4a|e$Erq3B%^&eh@bI~s#z6!qkGK6~HZYvY
z`>_&UA&~V3d{QbKNDQMYa?ZKsd=`B^3dq7w?jgPzA*U$1U*>6{2RCu)-@v7*>D~^H
z0;*M^8-c{ZHTWTW+!vf=0vQh#f}U}c(;r%Sl^3Wk1}fAxlt$fW<t=W)>$BaL{!@J5
zdPz~%MllSv&UL)RdQNJqIGQJ@gDIc$pLV?NK7rSf({&rgddz@|qa+s<@_Ed-9TVrQ
zJyS*UdB<V>!b=b(PeYI4s-)y@HSP-j^9>xPa?;n)l&8Z&Rhx02CA#anQDk!{TGh`X
zV=)m-y(oklT&;h>b_JM&?+tfA{Rv=oiPl#)a)-4!2T8eBz*+U8=i&YONz&75?oXw5
zZSWiLp&`{$cT9qmmdgWm_J`MR59w$T#Q#-E)^sDUFrnX~vUoO(XV@!D<&+*L#+((8
zD!#{I#T5adHm-uO@X_~10|lIwv3Iu~UC1BNHebJicI-eQ(9*PU8^x&X#;v4+iV^3M
z_*%b}PGUUNol39Uz>u0!0I1o9AoB;R#TVrGj>-21(wufankUC3TG=Ma)|h$BGGhv|
zv(IqQd<p2Y!&C?wE2Zl6FbsS;q2>>OGqBOR1R8aho=uz-Eyl=ytW(7RBgQW7&*&lu
z@pa&zvC*S)WVn6}x1N(xQmb>tjzLv`ZJ(5@Gd(ow4ty_@=e(e34T|w9S-5cK3;)TM
zyoEa$hN-04gVkzTiU#3EI1KQ3+d52mh8&H5Qkf@!9YI>k*ipeKt^C7Zi^Q?md5_J0
ztx~m;j_==1CBT-TaOt>nC)3SQ{R*uIt#qyd^gKdB*ZG3spoNju30b>eN1%Uxg-jB4
z8qR+Pc+GINq$9NSpSUo9N>&UfG$Uk|s3vW}DcDU`OZFiX9jb&EC}r@4KS-s)=vrgw
z*>w56b>;b`lHk~%-#tL-jZyi3lzlIlsy8W*7l)dcEd}d>a3?`QCdVE2Xu9m{`fFW>
zw#M!m_@LB;zpmf^4DOdJ2Qi>$&V+Dtn=u$E`pq-wiyXEf7<S%iY;g+^VhVFh8gHVp
z5|}qJwWy>3{>yK=Nn+KX;MLr7SGI?>G{&^Eq;W<Tz&nPTq)5gWq`ZE1ZP6O8A(ZaY
zlRbPjTv7__eDu~sm{?s-7NfgvYl{zoPvjQqHS#mIhM5-B_$kl=N1S_dh2&yXF<z&E
z;Hi842M{Rmb+$t{9+p-;{4a%h2Q9_9KW$MAT|F40TUyQ>J#-ig#I@0xPC#V~Z;^3C
z6>JAEG1V2ty4tL)UE#*fU^%jpYz7Tb906ipKzvV%d@R!Z+gfS!e%GP#oI5mDLAZXO
zly-DNWHW=G!IjeO4#XnyVQ6ffWE}%Od9P0SQBRzWZJ?t&a8~;LP&dpXC&58{4uWN+
zyW$b4wbVa`7i}EDZC%C0JB$WI!EgI2E?-LB^~37@xx)ah+JS;)jB>$xvxpld`#(ZE
zFZ?dU7_A3A14<C#J`d+Q-P0>ws{;OdR82i)yr0tfRvaXo+pd*trD#!#)&;bpY03m^
zxFMl&M{^$Wl?pHfuo&EA_swEiUaOIrXzPbtN)z!cnDWKa(8;(Y$G7Y&HDz7uHsHkk
zuMj>m;`w~W3<?9RMS6*iZ0UkaZ17H>ro&19(CV~qG)drplOUw+EP=5O^x6Xa*gksC
zTNdQ1*|$Jr^xrT5_#oeg^9*C#An}*z9_(~xa0Y-xoAde)pA0Jlf!?I0KyL&yA{IBZ
ze<SPnB@hcKvZ9E>Si_i)qL3(l_GdXLseLQcP?UN<<hUUS*@GT$u`i_A1b7;^Gb2%V
z)3QFpfX|oKyX%pXdi0@NCBy?XLPS}1gY?nibGq~U_C`?@WvA$u&tDH?(WCYyM6Sw+
zNA@}hSMu1pkpexwxXNzbfJQLEQ3@v4)_O%qb)t7Qq_cL|mg+yfq0sl2cnj}LhO0|h
z$xMt#FA%+US|6oKParbd)be4Q@h5?T)Plo8vYlE+k`f}H!at0B-#3XGF`Y|wy@mpW
z<kUR0aHFTr#vwnU|CMNlJtVJEU~S3jqB#{Q>aOuo{rtc5#2$yru_$!3ri<GJ)Q0=5
z_254z4Rh&3i3-EBbBTAG=92$_a`($OHe|Um`GQG<I_+9Thb26H&bdqR-uSy#`;EwW
z<2t)xYQxryw{ur=Tq6i%(R5)#l_L{+|1j`=s$%Y;l@~pOHT(#}oM8P;VqFGr=?XC1
zVI<AUB3)|etxF{?Z$ywjXicX!VQDjcKv3tRzRSywKsdCYq}{;pQ+o{;(8<igzCkF)
zw8<r&BEfRFu(e=}AE){9hZNy|>NR6bbW>Z5YY1A*>E?5OxD1tam~Occ2VF=lGM;$4
z^Njx$p<e>*P<W&FVki`xTyYFhr-bjvxK0D<8F^eE%))*N%OTfk0K)2~*t<$DL&aFx
zPw11oeq3<jQ;Y(XVnmYdiImX`z4U*0{CX&)?+bm4;H&cTOmD+offh&nZKm3P3A_;6
zDGZc?_WEqQ*S~LASpftcXge>h%TqfA6SBIJTl`D;pU8xQ@WaAuaxiQgE~IVf)$qS?
zeVP}rn#ZGABvs?~AkkS|F1xp>rZl6Od>-q=^AR{q=lRd5<%LrA>S+nH1+wXEsx4~T
zY(GZhxaHH-(4W@G$5;^+eUl`tDRSDM^#X^6IH6UP{(mGX#R;9U`oaMOH_Ww{=i2oT
zdj0L62olY1E_`+LA$21ZV)Ql3*@~!3Q6VZ%%d`8&)oL#{o37D(f(DYsnw#6v02<YT
zCLXI^CwS{Gszu$fL49S+hMc!!^Nv0wyw2;xPg6ys8G`orOVyYbQ$G~qK1$yE&zdtN
z(3noNrcM>fe~E7ZMGR|<B&8m)EZO3{q(A=$O>7E&MZ7CELOR$BiaK12qhD^ox<I1{
zqd*F5*>VtsrhI9tUKT++qM0B+dpV%(D2>`1#fz%7)_k#*SIJszI+%;Gx_)lhQ)-a=
za<M(A@<Z&YMV-As-c*y}-@){JSDylrfV<@%=3hml`X1JQFU=6m7*#2)&ODPT+Jf$I
zA-Y`&ahe7%!%}A9W&eQ%@)CEQ1-~+8n28-;=RQr^45qKMc>z;{yyBxq9JL$<6*rrB
zKgYDgz76h%hQqNzsy6HNLZm;QM3!##w`Z63V{V@(lYvg|li%eky>H_JXND65ke|c1
zhAM&^ARTA=|6)dNZKn2Wacth(A0ZbyV2@&MVTdC}@D-s&92tUiHp0jM8s(xBR%^qZ
zhWjz+Q~U(Ye8RgI_GAp2QZjaNFG5+cE)TXk@tv1?XNJ4kx9>w)kI!b*22^)M5EKua
z`n*p{ZpSf<A?<n%M7$?gh38l!&#UI@MG8+lBdMuA>O(j@4iA@q^+SG)>L-&~ho@~{
zOfw|+O)^|-oMqP<VLVDcQk3^UmQNUBW!-3%ID9a5IdHS^K7N%zr(SUkL5Dx`7wRO7
z74W(T^}6nI;}{abtcdc^i0IOo&36yxifJ5SEJ+{-T+`|bx%lYW`dKyT`(4_q%Ba5a
zsGLv3@E%<<qw5$^VkNV>(e}NlVtez~r*I;Gvbs|Wx)1d}7L@8f_j$Z>1hrKMFV|_8
z^yuYafr~>>h2Xao6i9<5QEDmMe0|1Bh!+IjmzeKM8<E?A71T%GHtBr{)g_iRYi>Ke
z{!uO||Ga(K?6dH(LNCuK8eS(lM<&;E9)DTyhkZF)`gIl|*O&R5vTtP)-xDATnay^m
zbE$113P%F24kzoXA<sM>J4@SL<mdM2P><W(+^hQ=P6v}}@z_Uye?D#hNVh^JVrv3X
ztch#A+*@-E4o7%Lb<4k2lda|3<$Pd)3yF|*93kn6k7y%CHg{Kd)h(>AFl9fv;?@&#
z{@oRgW7iG7pOHBd^xR0U=S_ZWZl9MAV!ZxK^iT2hBz*VV{plHdpJJwLJP*|$B^5o#
zyHAYaZ4t>&5?NiI8C0TaR_sLsiH!QkgnLL^!%C!(ZP|`3OgsQ36%S6Ib_nm-6qWG0
z+Y6yEBwTFJ|8)Tw6<;F6hQqe+p1JxNDu`_U*W;HUb!SEvCZ!qz^n_Rr5b%MyF!_>L
zwK%N13+E&BiA+kr17~6w)6}*Hv(WXIdyn7*^{Un<b6?XaWNNos-lQE#emv$2Pv~9z
zsy(U6kjSsv%Yiplh%#8ntk>#vetEY^Ge-D$Fuc#$w^O;~{IE4|a#xeUm{I?A;*guI
zC~C)UBZoN-vH?~c4@{lYgQLjfs*fREyx>s_KO~c5!+jZ(<_UkiXsBOvRU!MS2C3Hb
zzxJw~|Eu;XF|rqo^2Aa;!mpBb{Y3htuyPiQw?$&PRuS0!XMcGKrnbu(zV(IqyE#m^
z{%#t9r=?ZZi~pdi^Mv&@_84I?raxEzeA}Wg31L{xqVc%5G;^4FpH6ekdHBYaiRMxe
zmF!w0xri?-P1M$BMt#9eO9A)h!DZEx^{yW0AK#N4UoN95=<54vk##^JF=gktBse1L
z3ThSV{n1j!m}8chw#i(C+mVb7&~9-3L-<gpS>L^*AEH?yczXApvA%L_HAm)2jkY2z
z=TBg1Uc0x#FT;aC9g;NEYmiV=Pd00afg;7%eE=8^@;SI-wHO8QTRF94C_2nT_$xRR
zKrtIzM#0*zv(ci*)0DY&?s&e}tbUj$SoYMvaNl+z=3#f8bck$zB9e7_j{|IVT(Znr
zq#YXSA3+1se$22L|IE<m`C?4BvVCiys!$mu{8D@{V01?H;D-a3lgCd<kqBE_N&K?z
zPR{cC36E}Fxz+5N_Pyk1<}1gcSD<LUV(G$!Sp~iiG)=35Km6{O{nH=&N@NMfvUz#;
z>L*Yy53_l$ws%j@|C2tDO2a(yxOva!#{Waf2FLATT>B`op!53W`~@Lwo9o$$tj{w)
zXk{#iPzdrTeL7jdUUL$U=h^mNtb+7>5nT1M+OwS9o=lp?#h^add;2H3B9q+LTY=u=
zAh4PO9$~C_vT)4qep*^Zbp`iAX|*ULT6G^xTM>F77dnkz{YYX^``F)`*{6`%mcpxh
zf0#ODF&z6t>kq@;)DM|-I<r!>Sv#j!1}<CEtDG_T-BdbQvO6P*jGH)uKY5++J=+Fh
zHyk1r-t@S^I}s}AoVHZ#LI5ql@5su`mf!PsjW^z4Ac0o4bh-qUXepapw!zV2OwM&X
zsDhtZHkB<gMj3k&#G@SqFb&7tPbY%ckFDN5etOzSTLY83JFQFIYx0`*la|MXc)HW{
z&)XY<akf^5Bmr|CJe#53(W_#awA1}*KiK8MqzOFGzfq<|KE|UKIkbN}p~<?l>G=VG
z%};gTe8wc<jHy$vN7K`k-hcX^UFGYX+t<#b_V&k_g@lr+rNug#cpft)fiM;ei*IaZ
zQjY)RXT5$q9o!R19wjJdu$kD(XEaB5#aR|+AN<W1d=|P}YOeLHymdOba-AiPG4QG<
ztc~farxC?~As2mB*~FY=vt0Mjb^8Eux>B3EMgpT1+uyd0uBW-_dQU+e1L$W??<OXe
zR!SqTdm_^cJ_rkSxl)lj-X-+<kQ;@w6b-1Lv%x?Sq1}EN`Hg;3E*Hn<T=YYI5PPir
zwX{H?A6G93addAFn6f8NVCTul-26)G@Tfr1md4X9<dVdVNk&NOBRH~i_@Rrpcb=N^
zwKHqL**2M_MS|9URgaM{%BKia(i5?DV`xpl`Kl1$A)YZsKUh7sqYj!%8z_E??W?Wd
z`p*6$SB^PaQ$qrHJ+6nJ+QNtplWWmwE1JzOvNlK0B4e;G+fQV{_j#LgdyCs+_S}rS
zj4C`!H>$@%37B0&NqjF~j}*-Be{PU_{l1f*x=iXaMJshcf$e#@9*u=)@l(BIy!>Ng
zDwlVHqZmEbm=2o@B2yM;TAsFpK+1h^oT&oC)A7NNtGcFqa>I&Y-EU!hH_!1D_uLnB
zi7yxL`TMH0Owiqj?I$ELIT&xc){P2|T71-keYH}(B=l_XyKCv{>x89N`=~fY#-_wG
zT)MM$kNA5hD}u`-aJfEVLOAaT2HwG7pg>h{bWG~B>qu+*oBbBpX_m!dW_t9x8AJ~8
zxb(O$Tvuc?;2Oh{^U=DDnix&46`=H*cNRNQydK88Cgv{u7&Vcvu+_Y4%*fvy-GTME
z^em~A!N19$|7a%ro5E{<D~z7|S+5n1Esuv$X=fhFOMgo*IUNHwlNIkfs3#Hl*=igX
zYgfnWCOa|S-d}7K4jOn^R{-JX>im5c8FOnInW)68r;8gycV}zWe7zMLqO|gdGdS40
zkB$P?ZdQrkMl9R;*SCK!A8Vx63b?}^;h%5QGYgpF;(@^A`U*l)2EEv5qtkBgT*8Jm
zZ91MbLtjyLyi#%(s402gbU&ND@Ua~hn)t+dbs|4xfGlvTNm+EB9d-XXmhR+!m7_#8
zgU92~mATgfaL@~6a*_Q*gib!OZTpEpuTgV2dZhce@=kx9?PN&1iY6WRgXMzzRVkL?
zNR}~eyU_|xl%=Ma{>`ZuBj}cTh9j<{GLmvek6IIyKW)>fKXnFO<cA2tItJQ~-W^h~
zF&{v{fS(*%KqwR;w>#X@KK3qF8m#Ycyt1{u9*huWZT9B8;7?iMzu|WhO-vJ7tn>(B
z(5_XyU%SYol0n^Hea+;w)t{TCe{4D3dZd4J;^X)bv1-W5Yvk!#qnP~bxY=he!ge@=
z)48(=XS#0bZ^6tGvw(n`8ERzzT+_V%9{VSyN@!h;yCTJG_bSuch-9XvXQR~sxSK{B
zwTqS-EW^}?iRyewcPAV9)Yt#6TRF{dpS(PdKNBw{<Sy8s-*ol>sH~l3=Qj~w4QKI}
zKEJ2v+l}xD#PZM(WMsN5yL+cE>8msAi_NuP!cT24c82}==f85gtUNrzwXt{_30|j3
zB+3)~6>zeR&~YY^%RKv_JLiqsP*mBRJ?8l@iuH)cxy;}I`?{(0v?)$>J>U_Je|67q
z<*{Y;Vza%y=+p3aGd%}x{(p_f?l*o>yfHXK*+-T)oUQ>`1iZI*nkYnb&#slDUn%Bw
z>CCjUpG1jC_-gE`Rp8arKR&oUJv5s|;7nVO-};4+Sj`;&hI8lp(HjFF;yPO*JC;^|
zaO38A3aR~3@&Hz875!8D_2_H9(mbRtA$Ks6E7pKC42|@1rOfxezdw22WTAAmac-y-
zrf>l~BD_=_3Y5ruzgGxkl#~TGE1XBqoik?79GvqGCpM!3H`?YFJEIwHkQ#0e^PP+`
zu!){+Haw3fuVy3b_A-WAz!#Q>_x&^OBQrBg#FRuyNzrE1udQ%YYV4t(T|xPkmYEuD
z`6jq`@rD?6AHVaG{QAZ}PsLQ<x%wl0KC;6zA571`jg9;uTz|7|^?gg3Lqxa$yz4RH
z;Iy=T?*NGk{o31rW?5T<Uj?>CTl>e1tzS2(<^P$UM3c1ZKJJyCr2KliH)Uq<9PSg(
z_Tnd<!(5C76M8;)pF2I^if8u!`e=BmTWdYFV9R+#d@ADA>b=c}%{Bhv;GWRDh_TP@
zo%enTHG1rOzu_ene(P#l!kL+wIYK_S{eMk^gEGcaT`D_&kqsH|57QqWmb}4SqfZt(
z^K<MJE#K}k;v;zDug{T;FwX21nI0TB#(!rHOGe>X)yuih6`xr|Kkw}wk+_|Fn<e%_
zZ;KtUont#U#_xu8j?%7{mkAw{l67G9xWgg)*l06=rIRlvdQ16ZI||;$!GnXsXVH!3
zpWb4sm3{QImL_9+v04UWLn-4e{d%_T(PX}&$WlB_42f~I^W1J2<7DwWEG$jW`Y*E$
z$jYe4tp1c#-FHszQPSzU3*>Rh@v#506^lrzrz%yK@!>8AoSxupH<VzRGTQnF20Oy7
zBHS(T-<|N9!#Pr}aF%=^7lP4|$!TfG#KlU3AXI1SN9ITgzZJtFWOIPVmcZOF&8F!t
z*W>V553eMl#I}9fR+Nx}`L5vo6e&%S#}Pk1HREv;0DF^-wb6nf*91A`rY1RQgL^CJ
zb~rvE>fv!k;6LIf=bg`(51+Pl)&Gf0qBopQ!17?%{m#iGtw%WObsy6rHy10T)G<H*
zuj0JC$(bL=O9X8~zL(tYZ*@dFR^(_t9Bi*&|K%Wy_JDarC@ZsCD?_G-y_MPLH~K7_
zeshgP_}t4&k27Lo<8-{6ns%NcE$D+C5?EUn5|M6k?<0_%)ze3=dePIkl4KaeX86gX
zg8#ww%<`x6h7YzQv+hX>(J;Dhn`*n5FFXs3(}%<enZX|MuE_<c@ag+XO_tx{Rg9E}
z3sfI%pC51_s4Y$hQSG}P-=0E`tG=yok_6^gy4dRXje)K7d70)$=SJW;gC{L9PD4ed
z)#2<g`=ifT^2q$m@?WSBN&y0vI-47U3(GpQcX;^e8~2Ap$h<!H#01H_uy49bZ%&_x
z;7<>(NzB{$8y+JP<Db*w`rFZC;zb@9s3z;aa?0Fid>tiNRB@@BQj{uZFRJ}l3Q@%M
z5a6u*r>81AyL|ENNnsoWy~_1~wCGBJMNm2ypYnc3?Q4v{YZ2zmwu_CFxwEc+X8~9q
zV)w|z&WGc~giqm7VVyE?_<k5+X7i>#hudeaw9>$Q^R^Y;Jr3y~goQUHUm`?06+9fN
zDBpmf(F>>QpeRihmHRI@>mDvP_q=<X#ee67^{Wi6cMf5*1Tw4DndbTyx^!L}%8cJ7
zjb=g}EZ5!am?Z1sFw644HdUYD33!}NB}q@!zD97^+c1v4077Oj+EA0-euUe({4pVF
z%zNQ{#tYj&>u-M!S7>q2a}}H{vI}N$<k1jr9zB{}v@m*9@A@tFd`{nT8KlhHWOr>H
zBo;8?{j5^yrTx(F<rRHBW`EY~Q2)2==TC(Z29}TJQ}AjKYnT|j<wl8R^rE#`Z&wmd
zOK6AKHCtrAaLzg~<!jS#Q!@qA_<@i*x6(G$`u)((NVnuiR6|d}-vWFvQEMJ{2U+?3
zgghn>xoz#2UL#mv64){;?#+iTrMq~3;gZ*$<gCxRM`n*kzUnvL4s!c*XcVorm&ro~
zE#|A((J3`0B*{o8&^59Wm`y7Kt<lIno2T*}<CI|X&p=`&i}k-F-0R!@{e98w^j}*S
z=jZ1I-9?#(2b_+h<eo&2SADjTZE}*5F0;ApB?Do62F>MdNEh;0XP1Uij@PZ*O}J+$
zgugl|@f#u~T5j+=5}wZg(Ng;{kGYsLgRj1>+EGbaS$t=hJ0g|5y4_+MD;qT?ll^$R
zv1RU8Y|ooBmgz_Nt<$o{h#7hmq&W?7q$oM$m;vI2$JNJ%pGKiR_^&O<i$qDJi(MYP
z8EI+jYV5mh<$oZ3ed=i}hzo<=ya>w<^J28b*STGf$jHbz{Iks8Nn9u^RjSG9@i3VG
z3a876`9kw=0piOtN)!6(@YG-$LydAdqox_>WaxindZAbOs^~`0Ag|2UmmL$#i3`Gf
z^#_qHjfruSs2Od(u~uDEG0d~a-jLqXas!)5@3WCn72q}hpsUI<ba9U}Af$ZdoZHZ{
zzdpr*ZPsOrp0Yzp<6B+QoEboGm?|nMMIot_YRYy*#LG5FD6l~TA92k+48IeUz&*f^
zHO+?p86Ap7cKLTE!&oqXNoi8)QTOD+@z~VIcUXxv?34Cy3<VOJYt9GbHHq7HjOobC
zD#Y1`>IZLsb=m*JDQ|Q*N_C?hYsyksJ#5dfEFb+_YGrNh{O>x$ky?8yy8aeT>r0#K
z!QR8{qoD#uVdyJ#qjaJ6SLu`I`=&VL9!}rb#%E&FxaJ;%Wi6Mbb17b1Z|^VQ!y)O@
zUQ#*g+ZkrZ=Uj>Jm`7Ma>!yBg`%t_YR;H{(p%qt-{RC;c@tw{LG1~N`H-~cc!~4@(
z#YQwui%tqHkB&RBOsrA(SVT^qm%VA^tvd6*-3_|1RmVlLc9|ysTW0v^u<5FW#>J#e
zbHXJz?d#;m<A)4+gOklm$eol1wt*pG$XbR--{76bX&-|T6AQ)pb?k&|sIMN{?y+h0
z*2pUZ@t*50<Bt^CW{{8G;|6J_+kLi)=0)V!+v}eN%(Q&dN*B_W*CDnvVRLDG%cGB(
zJ{kY47!{|Old6UMI-m_bRj3=*W#^Sbt~6ke@pcP-j`?x-2MC(`C2&{sO-{q3$D%=*
z^4AYM>O<O&i}F|2hwFE}XioHELVeN_^!0SeWMVLboh|gzE><<Ycp!<$o&Q?W&6b7L
z$P7b$F4839CDBH+_z)poBAit29|S*^4FvFt_d;w0&U1<jR4(6a=fEB>LOwrdyyY|3
zT1)5sgGyt-yyRV4P+(+bV`NiMURGG~LkHq7<?y<g7nN+_T9<~qp`bHD=HM7>hiNwg
z9ufqPW{3Y)(9uqQa%lBCiV%E2^gbFC6B^5mCdtAKv8IW;@mH0nqum1bW~z%7cqU9?
z#?-U*ytDYCGs&Xd!V$#?`t{=@xDyxo`i8Sb^%I|mlKOH{Rjlr;%A#`4f)L5ufNopV
zB`*&<Ndna~RP94H**f7#2xWMq^#_zh=-Ew(+r*fIt)NW*Fmso7L5mgwhKCtd&!_EV
zn<W=@6aKm%>)-tkzt_kNNW<!*S8Jn>BB7H?d~2i;bSzJ$Yzcw4^A%DtxBvVpEi3xI
zint-~y(4b;@83`;b%@a=d3m0br?F?ME6dGhuPgJu_J$y#7vp0oWZz=0ldlP|zi+}(
zC1E8-V<Nv_Zwp;Cwqt0#ytvZQS+K8GrpNKVB|VQ0$VVdA{s-$M{;vB-(EDO@RPg4x
z1^IWz8Y-;9>~fn|`%075ShPH=a-1PUc4dBkNJ_cCi4+gf+L!#2+?GANtzq;ml%22l
zqKTJMhVue@j+J6!SUM7~_JgK5B2VqEZk3Km1W>-DhGJA?W@LC?TVPd4Q>_cDUVv?;
z?&a1d;^^(wXNcTkdD8L1{!|6p>C!|KuE~ynC}1YcrKqhcw!4E6C=l@mhN5@%$%**x
zp%%qtvw1ayG_KCl<FH*}Vs2cYth77~Ma8dX)qj2R@FAZ2a5jQx8%1!qvD09Ba#of+
zs*ujL^;JvGSoqKKDM1tLdM8@LRo7iMnE=d2@9}EA^KHs3x}?Qc6Kw_YiYHz{l5eGX
z5XzAYvCrj%t6@GTVPo1QcL~44blfe1(RSPkvHnAOV}m&DNw!saiW3R=mJiXIFyosc
za!#S`ZNE(87bkS+w6%77x^HP7e(5c>GL&1N+0QJD2<wY_^1u=;G_q6eX?Gu`zt?Fo
zCkjU!Fu(FyJZ!l-6a-Oj|HG%V{Z*f3o0Hw|aY;`5mXw~>_i%4cR(`V{?!$V$rcg67
z$n<aVVsW9Jj3KAU>gnmAFKP+?5l~B?cle+wUi#cJho7ve_VjJ%tZ#GCW*mMJQgA=4
zY_UP*`{-CO7KTGxF98$kD~2G(H?ZJyJkXz&wc)&YcMNxdp02KRUQ@&4LTtX{ENq2~
zv)dXjQ|twQH>h@TzSmuOvbE7$!1(iPXN4g?i)Um&E$^y*3y9z}G=g&kEUZn(re~-B
zGBHB}SJ7;7B8Hdp;y+@%X)_-p(M*?Ft28z%g!f>fLX8-0l*y_dz81RA7*-%cP=Hw=
z_j}kl_kx%NI~}|?Fsr~zKtx3JFVy%Jy;mYFr?63*+@~CY_<ThcE?Nol76qo`y^^uA
zvNB~%BotO<)K;(OF=qQVbJ$--tVCO1T<*<94C16hg0vG1yDOS)vnjk3x@nUji_Oh7
z1M($XcicJE=umh7BBl`D7+(?;cH2czP*f;%uwh6mjSxk?H)F9DHU9B1{ovIr?rCW;
zVYLY3S*GnBa}w^R5JSjTwJ12=xwh?YZ<d$cuP@F}MJE2V33drD&qP?nUY{ecY1(k)
z78J*3Cog`En`W!$Q1{eh=p?Sj3sSKRu%1KTb3{&6iXKK=`{9Lhd-^P6PWnCP<;;!f
zXe-iIXuvqTeH{9GCF*f^URkNZ^qGs=leyXL9ya7MldVNDHoYV*4Zl4)E=*gBCd7!u
z%D`>DmCEovE$xW@`CT~diOaVSX#)2B-)B~lf~$8{dnoPHu)`|I9+jWLRHpqznY;Y>
z`iaN6ue2_MamP)SV{y;i(R_4z?*h{A2@f6h0>#<Tp~ySvpbXUIjS*0xDtnlE{7g0R
ztuLhAu>`ZTpN#v2wNBL3)R3d(?+PE`qB1_Xd{IzH3JUrVAGV1uDk(oKC0kunt*TlU
zj~6Xv!zU-c(RD|E`w=+6414U4i>!XMJ%=S>4-t#XA=ghj%F>ltCcIl*+92L@eCYd*
zQ6uS_PM^M%AaiY=Oi2xWF8->becdJ#$+V`b#`^u6hxF4#?jLHBk~o@OY4Y2<`}-f&
zDMvh!KWu+@$f__$5;2rg<r}!_d2}`WlpVixIOI8$Q9m}}UN$VK%khew)CSs;F8s8F
zZ2gqA9KFTmId_omJpb{uv@{WGF>j~C>z`gaduqc@d;au^w4&lOaQVXg0=4B0FcqWG
zda>8gy4CprTLAH|@C!>y51<L!hBbUBy((sQcO^iURv?!n8gh-Tg*?oZ;Lu)qh{8&?
zmVcZ$^C?e6*uJ?Y&%cFk&rvUfX%fQqkv=XiPHDNbtLyH&x|-UHbs5am0wB3XFe^62
zQ&V#m_!v$PSi*n`25A2Z49v>}MY1<@s16ek%8RSOXe;-8CR*CN+s$W367@=G0c<QR
zAm6Sq7T89EA}7U!@gzjfrZyi8EM}wIiVtK!^>~ekWgu2PAV5Rj(csEE9p~%&%=^ng
zN$C{GhQR2!iK!{}5A`-(3<f|k#N)8l4@f(}k@nGYx)=aX4BEYkfXX8TH6%C~43?`0
zEQ4_cz?$OwI#=a<@E5^6I4B4ipJVq$U|tVGV=xHpWp2cRv7B6_(FZAV$EU#Bni^o)
z)EsL;&;wre6)^u3$wB`2_RfxosZC7^B8a)xIQ?t{c9aoPQ=5C1uvIk*>FFw(h!Ur}
z`b0F~NYj><W+4lCGir6*iMPuuD=RFK2o;6+1O%XY=zVv-4eC(AZ+fL(@xQ%?Q)7A;
zMa;jjy6OXTF$xL_049ixf)cFo+9DC~!3e=b6)-bx#rvQ2pJ6aMWOQNz_#~r%XZr~l
znoiFEL2rJ3o|cvth-Wrde*qC?>J(&cY+!a42fuWUPq=bqY^<@mdfmdL-W_1b-n@AO
zusK&ahMwpoB&%hb%uR2bfRGV5zjL3!2=SY_YSXGn5n-5X0E_E1DJ?J0Oi17WrClKG
zKTpqt0jCEcSx!YM2jAS&{&LfVmsY6bAUZq-Mt;kWYrWfeC_m1fV0?^y|ILw?+6;(g
zAJ9uNQO(&I3QSB1-&G1e6`%O@cNdJVe$Np+Yi;F|mzO6ZBGOt@`eb1da^s%*<A<}w
z9w?&Z*1W^UW~=yq`cJefjo~<(ot^!~e4oQk6A9ldJ4efE@D$OvDJ&a2+2DMjK~G<%
zC~&t0Y|Y10MT$U<y0o-pv?De$IjQn<vXcuj2-m7!>6<1Hs{uoEaIc_uZ2~FCqx7Md
zTNw{W>PGb<%r)O~AMm#qANJo#Ss)#GLp|T?#??Y0vJ--sPAVJIoLIXoJ~b8Lb$VMH
z|79~E&w<xO1O&1>^o4g|(5vxE7e;yR`q0`)lzATQdw=lOeB(|4n$NFIrV2mO$JO6(
zJ~M&7POWrz_cK3#8&IbTfbn%xKjb~X80U)NYe?(s>o?uN7_?HriJJRg{(0A@X8z8k
zASyC4=T-#g)A?Q|JQ@@V2JY;Tw4v-?_jZWcc1Co=fUr|kxRW6Dc4PYqOfx~uuFdM_
zAkOatUS1XaPdp8A1F=`eoue>qV*Sb;4KRf;)I5Lgqs-Z`lwjn8CRT1|!1!zCxjewJ
zqnm?2*efo6|C84ApAq}_reDAEq3etp-d`}LY1#K43++?@J#eO=53%eVmsbs#Eyl>m
zsKwC^9F;)MOv2*?e^AcN&CL>FGOMqnqobsR_E)!>1idKIxT0(0!)yvifPZ+X&?4pO
zO}&Nj1m5x^(bo~~^#*xti}gQKb^R%7s;{s9RL*PRS%sOwFB#T<wM?1IeTRb+!hayI
zZp5E`$^Ey;_ZRe9YY$kLz=NwwE}|Up;S9{x-uRA4fSlWAe20Z>a)qbC<GGoTn1~R3
zfUapcjRKad3WeSCm%k**8()Vnd75>*kSeC{6ZfL&T-68g?#8ChO)zTp%CD-tk1Q#E
z5(%gH4OIx-0FYgGZ?8xhrg_TG>D&vnpGL`13c4*dv;_H<q*NLicxEV6baZrb+_a9!
zT*`0IV_BhBq9tq^-q6@mJ~?nKwdadV!l~+)C$p-XePuDh!WnW<pP6YL+;=cg|H55a
zP?uL+KweqQ!CP5ST-Q0FH#?(Y>x8QN+WO8ufPqKwa~`4L7^RoOrFPOH_NOzxz$Jw@
z$dT}9eo2@@DHH3<hb?aD`pwDir`aAm!93rR?zQ}|CiRkamGIM3upSw@`er)&#CIN@
z_`I^b*f{Y2S-#_`(^NamDJ{tPQCd(~QBYKpS6ROQ$>y{9XVWhQ^A5w-8z^>Nt71&3
ziI?0=V<<y4aRPnkFiJPzs1FTzm4J1)-RJy~nw^~U-$I+k0zMt}n*|B?v^PBaI{0*@
zbTWuUJk!&E!9k0ae3sK|wvAQz>7AOI#vLy~%)xfk^C2ek2P~R{WSZe_vShVI*QD<r
z_Y0fzrmdOf-Ob)~Gptn$csFCBu>yVjuRD)Mx23bYl;04>boBl*kKMeaALU<TfZgwC
zTLtDcem=gnIl#kE7+De*2UpjR2qlPPsu#=2+QvfG_MWzu>)1`gKv^8`UE_Wl%F$w3
z$@{&}wCVe0i@0B|E<e<>&zJ`XKV(OXZ8Wv#C(4yNu_B~GY<fp=*QE#b%CglbAv#gf
zHlMOzeY_c~S18@sFll;clSQisx5)>i3fIE$khtbaAN`xt2PY8&oLr7DU*+oU5ttil
z6OTP8_!~)lx;NEZxKj{(C~z!S!erdvCBGTU2)KK8<6HCp%0~Hm&ykHo+getQYtwh|
z#kgr6%qV)z9T?=hh~C`-{<&QdZPM*_@a^K}f|Ga`)zKjo_)Gi=z%Z|_t^i{oEY!k|
zG_ng~r|qu-(-wrf4kWm!Bmxh>HE}xWU%eTG`I}`lm+c`v2Z@X64v>Gq(F?o!|Jr)%
zxGJCMTbLA3>28qj4(aah?k;KR?k+*PyF(g8Lg|tcNs&gn^Bwei@BO{^bNQEZ&g^Gq
zo|(PZUVCkpV{jfTFfuZZK@`0KH~;T22zp)O*t45Iu5y0H*4Tz{={TCgPB$0cCsBkp
z+X~0CvqgP~Z{+c=F5aF}(NDvS9F9fUxPcCsTbtn`!RY*B^ND`eg_mvMdg{sI1l8JA
z$-VUiDQx{b!N|s1^K1Tbk;8asXhGaYj$}T&(-a{b!F!yR;{<A=dQ4W{pnIcO5eGX`
z7fPamW|dZ8eP28RUdY5-`kCH$BhU95s9F|%3VwP^9p_`3b55!h|Lk$*288Bsbw>IP
zzx;HkxGXI-_MsbsVK4Cn`oO06;Zcf7WlJZdW@>ops!8N-8!wyt&_W@D9U(3Vb!r`m
zCi=Kwu;XZDqO?FLcdmHtGc2SViHa130~I;0w{O$mMFd%L6rCuE9Q^<iqIy-plRzT<
zoPlRwn4zlrp*VH5OpUqs3rRTSo7Z%|-V5Wv%t8>$%E}g{9~;JSSro13g&^35y$KN$
zZDm`EZmOuD^_gP1NDSkNW<UD{rylGO?twN)9!~jGpAT}A_-_J|^J}l%A|uB5i13K7
z_(p!tPAjFkoXDA?vmJ?1W$u+TeB4>J=&O!;$p78#8+ZP;Ua{Q_zn_SS{)~c>l68w(
z3?i7d#bOK(CP{J)rizI5k{llLCt51JaRg8XBAUU#Dah+0HR+$s7fqk6nS7P0yfqp0
z`o}hKl3qand@e;vNMHu)(h}PcOTeegk7dxR3qY`aA@9%|f&hwV!ct?*H5TXvZ+FN-
z{Do}gaVddPZDfy?R(<Gn%(7doyVx^)JIDoTNM)*L*_TV)cHFZfGBLI?I$8$XaY7CQ
zC&@!3DC>`tSyNcfSJBbcksTPqW0N_SBrwmpt=~}C{OMC{M8sNVAw504QCiR#!Z0p7
zGoOpn1_>mFK<6vG0+jlfJOmoA>y>u4x36Sq%%yVs7V3#I5)%VaDwPJnH6Ao2tlal1
z67cEQ2#dwV#Yb;mP&-bJ3I!uXx^Io*W~Cav_8<w?s<BF_-&_9*G!xednaYAAUOYFo
zx2t$A`4p_7Q<XUa&(TB!<qKUUde2b1BHQM}t065t_2cW{muaQ!SRsr^YtM<K#=>80
zT?B~VuH1`6tCBpBq;r#D)NLB|`CTyF-(T#0hs)p0H}>%IdV{nJs_cpQJRnqp!l-`>
zr3b%&hJ}qzqE5=Z(AY{h(h$$|6o5gle7Q(@Laffr$=G<mXvMqW*K#+o4>ZN5CfAmD
zWD8kUDZ#ac_6DNGt?Rzpk>4xTg^F^29v#6#LWk4hcCN(hmPg*f95tHReDi}e?#&Rc
zr_)dyrPrPxqr`^S;;z*_{<;Lcz7kmw3<#N&?=`;MB-OL862P_@dj`$g1MTRAig-c`
zDN{HcHlnQl-}nV}@X@h`F|@%v_s1HsaXz4K2zXGv^^+2^KZZl3xXo^d`v~kJB_F_v
zH)(+|(`<W1!pOU)?ci$SAaBq6%9PO5m%-Fmo}2M-GQVp_%lVaTqjNNyOZ0T(E0>qU
zdR6B<i+jfUm`KUu@AP;W9G}#LRSD{H;oy!yztvea*ts+7CxU&|NiRs4G37eG^(O=k
zwJ8EW2@pN`V6cnf;&d)4Pj#|}<G<}#S@be<r2^9<CS(GW*WmdU=a&dFZd<WaIV^&8
zX#V?Y)rRO;*V&7vSvPidjv4hmMs;&cbMcVkvY+(9M~B#p2J!$&b(2?DM_j_!oDtWk
zrl+YCa-0oHin=do$ht=h`BcX_)xa^kw`*@AIsTiRGd`9xMzHESbHNH#l2tl)V^AzY
z_%;2LF{;vQ#E1Eih+92rZFAh(iiV08hANJoHC1JKB?Z7iJ~uq8zHga2tFE?-b|3@3
zCcIQwKx8*h4I`1;c=!p$$5h><^zeYIP0xW%X&P8q3cfPi;?BL{VVf+|vVj(}4)@7D
z3``!9hKh`af{coS=Jtk~u!j8Ris<5!`kahNffOOwA$Zy9?hJ^ld0pvT?+g0oA9xJY
zSy8f{imIpR-(`~;qX5KwoLyX11P^;S5U=Qy{i(95hOx4&H!Ur$Bq}g2qr5vKJ+P!W
zl2WiBE+I>o{6m7h%5wrQBH%Z?kaF-5k6zM#kWMN)B)|yeKQ5+`KpG#o!25b^J8eC*
zR?Qrs*{bT>VL3H$ygF9-KBr{w`WfCY0?YI!ueCF;jGeRX*v8C8!=St?G|qNe0>xK$
zL(_jXQGn_TO=(Fa#PcfVu|O3~a7cunnuQ3R-4Zm1>9uDDsp>mie(kQA>l-}}!Nuxy
zGJ!*=aW8Q*@I3jYu2E`+Rb=)%RKTZbvb(FcF+aDlK2$k5ig4HEHJ2CF^E{(KmZSDi
zO5R^2>b$SsiI~&Xg{-b#noik*QC%9sM~K7~HyFn{igWLEFi?)5rlVQV-r3k&tkJh{
za1wF8Of5u4bW;oF8-wD_V7F_dDaV^DB6yyXXM0UZg|<oigA(x)X(9W^MJBymX{>Ui
zV`JT%okg~GGb1e>C|`K~kVA09?9k#~h^Olr!P3!RD2z#-&keoSzC5pv{xRSWTq{Xo
zgnvJofCQ=Y?gNtLo_H2aP;l`2p&2NCj1j=b#RavvGM%}6zL!2`sI?`__`$r^)-rRp
z#nr{6HRlHfaP>6UN90$?O^18d<FAv>-#RI9eiHv@r3ea%uL8W3TBs=uN{=gu`9MeS
zz(yWwMWCV+$op%as>|tGBCfdHAfPmM<~Ik&3@eAL{1`oayu!=)VVvpN@gbEK8egPC
z<%U<or%}VvBNfARYrW+Tg~2A_NENg%b@pVubShpfR^Ztbc*!O%E|in~dzv*Quu)ps
zu*oCqU<4koH-PRs1_nk-S{hlHwYE0yWuVS&{HIUs$NN?kc67fgEgh<Y_fHyQa-ZT}
z?pal6>PA0l%AM5@-8j*}B9w<pYm0YQ;PEqXFt}lIs8e|C+O2jwXd0>`x=!sSy)-}|
zaK=g#?P6n_sbiUHZkY_Tks8nH=aQX4`+Gd(AS4J-O*GQgnyM-(X@M#T(7ZW+NEly5
zMP*OGs53g5jBc2KxS=vTvbyaHaC}O8O^rhCHqF@M=6d6^LlfhwKS>9q1vAU`P?&cf
z+$W7@6*RV}xD$Bqm=$mTvD!H@A#YDJ?auleM}j?fLk7|D;*!M4Q_r>g!$@Oah8@uT
zdH}UL9}g>SZM@<>68*Lx$zXqStEwnipqtdzFK;ht5Yd$MJ~h$>h|tr^&|B;aryre;
z)liBa2sCfw(VUSCJkWkS;2oGdm{u^T(Wym(VZcN$;y^Y`e5yxCOIxR<qnpU&Isyeg
z6*V=N2b>lD@d``0+6jh|dIclUiXKQBVXZ+A1O>Up?*tzQ$K||*^5ofSj>L{qbV&Za
zD%#{dzP<|N6UGhP6y%KwFre-}AOoKFdL=x1Z|Q0H=#_H4uO9s>0ajjN_07W(>NnAi
z&G%L8tp66=3K1;0j%e)RIus-a$ESL9O1IZL*aU0iu%1OE!7b67DWusdE_B_C-dCOy
zi5Ol*jDKGvF(FELkcKLJaA7?mkyaY)HCZ{UDmXt#qUXM&E~BO{r)I3B-BwpupWpG2
z&k_70lP`+T`m3Un#x#1Ru=V`ta@E%*p)%Kn43d_d8+V5NdBFqV9g`rk!`FT{B`Ez_
zTzA|lv}|LUIExyl9ed4==*H2+&K~m`(NRxGUL1j?6$5kav@kZw`8{*!e)7Y1fv5T>
zVTTg?6ez^Zf0O)3CUn{MBsKYYi6lW+iwG|r>ylbtQ+Ihq<g;QzWq!^JF0qYNjAIWj
zzW#^!Xym4ul%+qfTPX;nMgP5n(-Z(OcJ)+!Cy!1|Th51><H655@NL$|Ls8L}@S<d2
zMVb&29l9DYLJn`JEQWrM>)>H%1?9Yao>!rt6kt(m5ba}aI^vBx+|$UC1n(%SnmRB4
zpa$yu9!RI7pBmRSPF~e<z4f6`7`#=B{b%&=BnaTK^B|L^A+L-Gf1z)=TG}XR$YAm9
zw6?yWz|L0<G-&RK5B*k(xtN*QVw_*DEdD%RfDh{0qbGa=z>LtZo(coM#~%58t}L%%
zDJX@bae103fz9R19<5zbwEu#r_Tj&wq9LyS0DK;Ng^D?&D5gL@oXl6h8mh|<rh(>%
z2^3@V*F?oe9UuJV|BlX65kSE3OqbTim(&)=d^7j{q}k1d1lguQfyk#7XQxb1o(AO;
zX?yO!pEpZ>ev(B&s!YYX%A&`OX;obp-)m)Wb#YqksDS(&3mc94!q7OSPvy^VJ3VSy
zb+vi9W!oPtub8E{Y6@sF-x`XhvYL<ZJxLguDNkP~$4zYFGptLi^D_)b$xxnmOKgwe
z)4dDuhU)6-78Vw=vIuG-sfbT;aB#SJdEs6F9e?h+cdOl}EM=*2LFa9$Xoa^XB#sQM
zvp)y)UL$f?6?Ar1kuc5oj}{0=W?8Pm*~lY49HyOVm#hzA1&)E<1xu~Uii)5Z*x1nb
z;sZzk<mZzjkq*yMw=&rS(97NZ5~!Yuii!e>NKSySfqp2RpyG5XO|KJe`bOjAv}i8m
z4L~lM8)NI0)I)1hGBVh&9=JN~KDFO0p6~B9yM5Qme`nuNP+OSOSZ<=MO#1mnhWPl3
zzTk-q47w&`7SZB}BD18;ZbOueJjY@d3CGF|Dymgn4?y}lTz8#8Z#7U7{H!qn+LJ7I
zyyxQNq%^O2Yg5ettzHMa4yvp%+$TY4bq=>v0YH90>}hSE%<4%DR{dO6f|9t(B1B=B
zetKR*T^-ehFL-R#-#}m8?T_&AAF8*F0tTnc8H%-feBWbmda*+dZo>_4`q!bQTpZ!#
z-2Lj?@+l1!WWZt8g9TtkBp4VNxojRx9oUrD&HYx550^Vr8z2nKVKskgu?}Lvcf15r
zxwgD6V;>T+QjghZ)%zL8ZoYpb&|iv;k!$+o78al0^sADXo#WHwNFm&NOGV<VjPRR|
z<nZNg+~M=PiB(C7i+w(0tt-Rks=J-#`Sj7g&qrZy)$jApzP{4{55SV%{TNsp|L~;<
zJ(oW=GRoEI%tU~5kyTYqDM8R>ID$dYCpJD2bsb&uJOtvE#pe%cnl0X26VM%;RSyT>
z<5#sg4f*JxHZea8;le6tw96fxD}Yl#7bb5MC|T?S71C#EMO{{<&m_#IUt>VfY&84n
zPnm1c#8fhqJrp5NQ*Ak_e<>h2{k$Ht)N<zcvQktrxi4y2Ion@?UH0K~X{gEha@qCm
zAX_hOEEo2>j)TJ`+;>nc%;I;@-_l}#yLB4+y)3MFTHK{1Hv9Z?@0}k{)4TapL_?N0
zm&B~MAej;s9es>SyOC#X%EA7`5zJwi-d5byWcC%mucCr(HRnWGL*whmKz*Ke?{`Zl
z-hKv$Rpq8iRBZeg-;U<Zib|1)SaRCL`>#HR#EjQa%0!usVxf{RE5L}o2{50FM5iKp
z>l`xb{Kg66`xx_#F(Z&yoRPpXkj_Q_9xOTrFW;ji$<R_KwzJo(p?7(6yJ_e!IzFn!
z>`iNDr}_=qEXLSnt5&P--c}b5n_AsTk?6z&ldC2Rd6#V``)WHj=Xj2{af^jeC^XoM
z%X|?|zx^tw(deeW@9v|IBsLeE<<&E*Q1Q{N?rCz$ClGK}3Z|1xsO{DHR*-p-Xy_`l
zxSf0YM{Ra9+_Hn)84TJk-4|vLMqSm|nAumluRN6IQT%MH71Y${m!f12x0bi!0-7>#
zmZf0G#nzsYz%2%qE%J~S%rTMTJJ4mtiLU_jYIupkl}Kc(L~aX~b6Q<hMQw1fywM|a
zUtM26Hn}>vwEOd2y#Jvf-Th<f>ftiN&)eRwskym7k2o|1CHbogSeNxXe8z_cvZcLm
zV3{MYTdBe?|MY9a>1iR14NGl|aN5mWvweG#^LwN}UHMbPZ;%rL=zk7@*2jyRjWk0O
z>6kx@Lat+)$g$Zd*nfVmgrohvHOJ5<Vv8|9zH>YX<8Mi3o7_HN?)97>!-CARn4O<5
zHP>jq=9*=~GH`QsZMOR{tp?jRM0J<7Bv(w2NItlHE?mXE5i6h=@#nw<M*k(o%*;%9
zOjbbXRLJ$hHi8o%#2K{y+J}oA$n?KSHZH0vfZB|awzM>7M&Q@)dM~I2p^q{@8_~}n
zKEZP1al~(QJ!BdlN3{5}auvmH-1HRR9#@>XQ$Jo#Lrvw&|C_QGvH4)F;_f4JSXXmt
zVjYV|3Ic>#n6(TukQb@$&UQ#42n5|`p7j-+!QEpH5>u?G_OdbE*;Pil(TX*VYLT1f
z)_)+xZ64<7a8}<a=8A>ucl_S^ll%1RUO3I6>m={!#|_zSQ0W`uClUhRF7JJwRDl-z
z`}es^w##?-E_>9Y&J+{_bl4M*o@ZA+U$XR<?Fk*Fel<dh?z?|xsg=-`NX)ONshQ|r
zsyiz^GA$r-efc^}{b>Dx7iDe!kKm}6x82>P$<NKyWJ71hgQ0!jEH(8()gga$(I+%W
zPWT>c=KIkp8M?k4|D2fEa;u_=gaj0O`#&z*29GlDijod2L2z{ELLE%jlNeFYPskMZ
zZ3`<UO5BHnqBz%`xcmKf$>(H&tgo?zGq88F7UKqMyWeqjH-mhu_^UW(W;ycC7_xbx
z=Q^y9#s(N$7!6XrUVN>nut_l98;u_urN4t|b3I}H<{9ca(v5*(_kZYdPxg5B>He>f
zERD?F2MV;mkovCX+?*7l@~`8(J7UV5xBpRDRu=J7+|Z7Jv6|bL!OQGDoF=}n-{-&1
zFD6t31Z3%#D%V(r<>lp*>fTO0Jv{-?Qe=2|xFkecPL9uYM@hB#{=T)9oBeuD_uYw$
z`@sSvGRb}X7<t{H&(q_B1+CO)_{QM3Nq(QF4^Ynrgbj57cmb-6s!|+K1L>|*9})cH
z#_TO578%;>%ZIO(KPIL0Y@85e>A_-Bw&Kmr&V~zUDl5lnI=FjTNQC(dY4SbzKb-s=
zGKG78@PKds%U{IC`Axj0gY8jJL5UaYXzhGMoWcf?sIzl}a|5gW0Rh0SVc%g>RF^OM
zUDbCa-*xEVCI5V@EHvFECiEI+jUNY<WT9a~INTd(;egy-PFfn=6#+M7K%HiX`yU%u
zqi^xVPoRZHUJZxN@Prtwq@<)zr_T*5Tg@LPgZ1_GdmecTqt_rgSJBe)UKO(_7a5sV
zHjPmnB2v?R>_HV)9&sHc-xj)uHv2kFbhB(;LT)yS=XJCU92?ygViPaL%AiHRX7>HD
z@Rp~o6@k{p>c`U3%V7dErP4fS8k+J>mWr#ABMnp7%gov6@R;lQCjwXQS9H3(aGIna
z+QJyPI9@_SlhH3mDFg1>z~(1+4T*hZae^+ic(NLKH~Aaj4@m_=m^8l0O2go>sd!~~
zBN+oj?GE}ct^&0VU|BAI<xh(Hc|(6;d^Q#q&y83v5Jx2-m@^6p_>F#SUnaYd!RHhJ
z*jgF<bt1i1$eE?>TvdHTgGl4E+9`<rWI&&Q1)%BxUuOb)*>&%|gg8w6owxI@0lxza
zEIb-P=zZ}?TJ*-{+v)A!N9Epc3&siMu|7|=6*ZmDZ?qhKD>|mFG)$GIH@CLG+TO*F
zijw((ySr+)$Zv9B7U@RuBkX}kr~55CNp0(CwBb8Rir+HLY&IZe7FdEHq%CYWS29wp
z)BEu|$^?ejLdQ`zFUY<1%MK0>UIXof{J<|UaAU~%^?0eADb7H^r?|M7dyiDB350MU
zoy@4y1i#<x;R`ypP!oc72bWz!6TJS9e5$zoAe(x7eVwP^;BW|JfMD?xo$(s`YD8#4
zPn<z~6T70~@p|C^>QHut=-`sQcx^FwrrKZceFJL~=l4eT+1WXipVMZ2>&933HDNcb
zX~D@TUmoMQH*fdLcUB%X04izj08h@0n&1W%qg=Go01+LmqF#M>+P{+Y>({SmrL37U
zWo>Qkx-3w}Evv7;+}9_ns``Cm0+~mnYdVaza0@7jNW|c<I4p7d(ah<uPazsJCqUaS
z0mTkuzu>VWkm6R#tdoiUs@w!*Qvsq)Kp&a|$&ZHBaDMKps;cV8J1s{|O})mP#qOQr
zX9!Z-g920!r9q)Ygbc1L1d}I~>H56y*+<8i_^v0qa*+%))lG!av=64Ih8^_;S34A4
z9$QJaU%hPL<|SuCO<)Z?IIug1?~)f4C42J*s^f=I0<YJ(6+cS`)23$Fy8ZFm7cI@r
z?Vi(lAVIfPn4PWf?0ouxPBSYz8~0UlS{k-$2%!gcP{u3%VC@(Sn2i=ugcCG?b#(HT
zb0or-RnltXSgmQM0O~?65PwUiY7*NM|Crh4zVi5i)z-QqX7A63BwfF?rDRQwl4s`V
zAWI-XyG>j#FE2rdvVN!?pkH(n+6*WZUZM`&YIUc#7yC~>Cnl^94-ffeEW6-C=SQo=
zI)rGW^OT>ZG&Nhm2BBawxVgFEj)urqtkaf>PJ=jq8~2k0Fc(&Ew_R;Zd(q|yV<xBO
zGFY2j^3tkz8WeEmvJq~2{0%R5E1^I0dEO6>HNaMO&DUo6kM(uZSWo<=7|MT$;__GG
zYH3<(K%alQNTpx-`j=YIEla||!9hv+EHtD=G$2EbrBdG;@g3R0!GYT{s@fF9G;HH6
zLVh@-bx5z4E2pL<;36p0=qo_W!Z4bFQ@U|oqd-jF<GL~)qn?1ZH6xJ4?KkSN;B_5S
z17ZmH8Xl<MvAkYr=+_^NWK--)gwyP&_sDLOn)#w_3O_bPRoMIU$H+1SQEvY+A^l1^
zcI`M7daU)x;r-~$!a2^q`Hy_a(E-SZ@kC<m>a>?Wt&^|f$2+kzX)aUCg+aL4Dh(ld
z=R^%@o1wK2q#Tdh-S#cUvk;W2<UR)IyB@!Q3#|gBxyHuEKtu2B;zAr%Z;nG}aRy?0
zEHiw}QH};l3!K&5+&z%VFBfw`aMI9l3ex@p-j{Y&>%B;D%Sb!~Uj4KTZ^}%*6X}%+
zodsvfe^R_DKwo?GqMM&sjS_&Hfm*V^_uy8M)NQPc&-SqH5t#R%l)8S2Wrt<3Ly3rt
zE4aCwt;=~#J8a?8>bO*7UFLY(p9_yYl^-mk<XCH;IVT`pD-r`25*^{^!Su^r>&gH+
z)vwz?R+g8M(`K_5nOJPa$<g)3b@sg<q(1S==ZEiMO#VwZ+mD7VU$9w%B0~*$_7DHu
zU3}H|cDGyXJaj>4tE}ZZ5E|7GW+6{gkQwRlpmYDB3pp(FGHE|lhZ3M0q!5MhmMuR;
zIS))5KYa>iR98}h7?72hNBsJh8#i!n)~cNO`%6{gQEw|m1KB(Y<`yGwg7zLBCPBCx
z?x?`v8YSv<RlHty#z>yt3Dhb*0+3;kQgn4a2jYK)1pr^}@e-(RX%K)#!(O{OQ*7dx
z8K@a$aVA@uizI`))-*6cdaQlpau>hKsC{7%{AID2fG{}4USb8}BWx5t&&4W1<O7pK
zdAW$Y^`GkcUgtLsXE{H)L=z`A)H^vG>KZbJ<GQ{Ddtc^qI!U>^Tl`OI<LuXQ>j6zc
zzINhz|M|IfQ-hX<dSXG(jLPtHJzJghUG2=>Tm=8|n4lE^8Cx~N<mm{fnY=bVR)#Z2
zqCQ3imtbt_%f6SlbQzzTo3YfE9f_bMc)t*^o12-1B;y{?y7b0KA?*e5&1f(phm1Dr
z<q)zAVx93Zake>58~L*|&1#_==VPO97!sj6I-NB%HH#0Z+j5DfpY39}TCI+!6j`FS
zyeqH*!2`7j%EIiEedGRI<J0f*BeJvPflB`;w~nqtSqYu#^2)@F44ucoFC8uKz)df_
z+5?aIQL{A9fp}Cu>b!6;!qSQ5SfQ#We|PPm0!RU@stMF!ea>y;+TqX*MG}E+zgG0Q
z1wG{;!8>A>^n8lwVu3`{5S*+>eqSLQKwv^@SEn<M{Fpxjbv|uv{Yfphv-U0$rIF+D
z%CeBf@Pt~q4FiEEqJeLcVwpy)|3BuV3-+o05?}pClClZyp9^dk9G^aojO_E6Y!+7*
zTUb~5K3SLKHX_hLDV2g_5tu+C4+X-TjHdEh3HbhE46SrdqRXbl#a|=6UV%oY{}<Qs
z)kir3FAipQcV{PnZjBS52b=R!?gh3SJ>5{$%vTv<t0?H=><h>Pnpx=#Au7o;SXU<!
zaJOIG<RA9|PSh(K>%%Ds>&fR0y>wnSF+P4sN}04W?7Drf8DTkCEM8hVAcMO)-p}H5
zhu7VA99};@>gc#Q*apQi1;O6_U&DS?V(%*)dEdM^rsK*`0>RjXDJf1`PMnv8fxe#j
za}Xp1V6G+fwQd2){c7h&l-}Xl?rfMVkB0^~enx@*M^TCD2V?9fvg96rXfDOiYYE+|
z5?8_sxsZL=m@#srB0O)`3d7Tm0C|x_Xnlzyw^r-;aZ&x1Y*ci&R!jB|E6|GZV~?`7
z&jH>v@rB#PIUEupnHKFXyASJG#om(qRP=wSS<W-8Rg*iPa3?7?4SjF7Jr=mUbpC0U
zVmXodPoGz5L4l3c{kxDan6E6YZTH7BI@qbGMtXmlTg?Oo-N!Ux(BboPaOC%oPfW~C
zPbZ$L*y*W^pQVhx5BG*=bF2W^qfjLR{L!nzS^de_H)tq+ac1*|2z-O*hs*eWIpSs%
zZ9l=q^tL(6>c_YoFGphl*=<(n2YXR!5G4c+6VUGL?EJFPYAh$v*MBI9B2UZB)-*G&
zqG`J<H-DZ%Kzc)hJhUwU%f_o1Ek=Ig#2VvkfX$x~T)XlR?vA(%K*tbN1hwS@tx2-b
z#8|*x|2y#>2#)?;fLU@f&b_U3=FVPGUE`P0FaF^#<1o%;Fa%|1WdlPM+KpG$o^($I
z^WRtro**|gbdNFo1>(i~`YtR~Ljz?BI8#7}MmgG-FzX$3c=GDq2$CX)23u+jeWB$Y
zu}JotIH*V3@3ILHA45VyNbYUVAj&Z&>*Nzg2&|q6(kvzU8ax;9J5w#ZE+s}MQQn_4
zErjVt$_@))-g+!5y;p?>*}lLq1sJo)o~1SyCc|#v#Ge9zS60$CGifh`ktn6cXA!^(
z^~%Ggwlly*lxgL{b;!B9C8%y0KHi|{+zIYj)W)gEX(dpXX5<Vhoy)UWc(BYzJvoX!
zKXp#9@u+_hr1Sz9+=~X>;UnPOh=_`YBjQU8>xtSJvHDyegLW?logRr*u823sE_oA9
zd@I<1Z90^6)_=V+?p}f?IWB3jg*9@cM8Vt%r}*8SxMQ}a*=CB|UlX4n;ao`mnU;bI
z1@xNro9%GLtKJdSw72sdq#4cnd}`Jk23%7;Lu7{$#dz|s0M+(7?oBo_^fuIdCEdhi
zX>aixgQDm+pI54}ebwyG)!`o%um)<sU&A7X!`F!md8}H*%7BVG6(uF1TfIU@7&hQB
zBEEiIcTf8<@*F5Tf!@F#KsnLE$LFP><kHox^1JK%cwAiEm6es<-Q9bF8Vaf0jl~!#
zy`1x`q(04GXHm5GJUVZ6zPGQ-t^sybLDK1c!Rb;^QdUsX?@=gyH*;h-XhTa=Su$si
zD>RJahyZp3_*y#l6qyun{ASA4w}{&I3w7(!Ox=ScBQB1P5pi)27T1VJ_7x2WdoJne
z={Y$$lY1F>c>6a+6ZHbH2k_5SuphcK=9nKC-6_X8CGc#9MTQeUXx<-Nx3@>B<fX+X
zv^X|qG??72K6dM>s_LriL(3ykr=(z<bEv;|o0U7~ppRt-oF7D2wKf_)X>piEB*=BQ
z&@ef%wiaXC)9gOW(BmJVHQ_Rdl@N9HJw4lMY8WqP5pkIF($~+9>`RbT$vbZKG&E8>
zI(VDfHRBSiUxI`Y!zumMtIw{jIpmwm9x3(P{q`WAPKU0~CTedA&0t>K-dYyKbZ<B|
zNTV<`swg$aK(p!Q%+Y<pEo!LQCv7q2js0$b)~zgkX+k_-)SF@eiFTMUFQ1d3l>|lx
z{rM&QoznwYFwYF4*r&<g%vxoJUS3{WW=oBh$OYE(-o~)0L&m8lKsJm?E6{MbHaO$}
z>i6S~25uN#M?CC%^7qZteX}*$wrU~{b}GXC8{0$a1A7%w8GE#}GD>cXXBCyQvYu~Y
z&9NkOkWzX2g6(-1XJEy5tSX;2a<4el_{U=1TG<FlDcZcaax}kqzi&!QxG2Yaz6$bU
zQ2-x2kdmr(8OTdPtr%2PRvNe1UjN$OuzUiFhDw3CeYNx-p_u|$Ws>ev#X-7sN>Vn+
zWE(3L8$&bYq~hcWos!Pp&759Xq^)v(bD0X)`^l5FsiPw_lD^y(yVul{Z{?1R4-;cA
zzH9|zmkbQ5M?!M1V<2iR{=e6Z!DNB6#riv?l^ZuXWZ@z}=IcXi{w-Ks6*kKqyo-y=
zTV9k?&E6m7#`4U*_UgPYgj~A5?|GrAWcAT~FT#ciLe5+`!2(<yhYnIjYF7;{CdEaM
zcu+A4s%eyE^DjoHw528#wu8G5UK|3>x}G*%@LqnFlZ7SFq@Uir0O_23hKZg&COTU5
zS9QzEuhmw-FAWHQc$BoJBq3K2>Hqc(XextX57)gM<W;3qAsj9T9xgOM!u1BwpVhj@
zB^tk7FU82g`zQ1`MVjVX5^@txP03j9<;4+Tf9MAk1fddy9<AA!`^n^MW1PL&r7mwS
zJz}=2IXasXVFb({3kyAjgw6e5ejWpL)9LAH@|naccG=sks!@!gA2LwPYYbVx<5iXX
zb2@TU)fa{}$USw9rEhLB6%QpS<Ovs?dTg7M4x$#Hy;b-b)E-YL7~D*DYZY^IbN)Ag
z<{Ip8it~GKbAv1jbfhM<gSXb|*NCgE+y{XSD$3~SXbb}`_cYV43qd+OnrILV`%Fp+
zvfI(2z5A`s`Q}f>SJC?l;!f-82FkEM*AG8CXycYM_%^Z)xUKaTCA=0BIz;GcdZu`n
z2|uS>l9E)qPC(BqGa&TovNc+s79TI0O8>==gZs!{tKT6mIT^hJ$}#`_VQzTdS+$;r
z!f)X)Mk0%By_ks*!PT=XLS#7f_i${Y{Bv*Swy{zq21-}sr4e1ZbXgb%g))~0hx*tg
zOi7?vg^hNni{bI`QBjS}%|p9fm6erIbR{Lf_4NfO60a;P0nq{=Y6>G+R9+sb3J)}*
z0(z-FDq1t5to`M6G4fG4zkx>TL;7PgKQeJT{E+gwR$zKcB|Mmi%9gDB#w}Qwk?}3>
zr6*?rud5T6p#TSpCGT$-M#Ny?PvDZ)nU7#e4QEBQ`aSTxcD@ETpkb8`D_LDrQ$JQa
zkez+j{ayK3r~MpQKjSa}Y1_w~l5_{D@o$X&d)cs1T7HB$X3_fwc3aguRcBnLgw?OB
z#?Gt9Tt9J;7wB(drV1!dD9Vf|N{w7JaUE>D+uAo9?Hw$aeZHZEI@|#*{t+maS&n{0
zB_fKedwIO`g7zXPx7Yp%=$oZ78Lpr#fDpRATU$?WsV>4<i(KfIAo{r6HWlHT8+W5(
zO<gcz!ta{?DjqJff;MVPVo~B&2k=V6+VKeSuA9(ROhUGYhnR*&8ODd{WPF|A`(|}&
zOKT&)S-lsB<!N9b7q9qR8w9`b;|Hl0mWCSY5RnA8o7+X$at|{6s0R>aw$b{%v(xIl
zIgClC;R^0-W17u6agd2@9#s9TN19hqH90g3gAF4yPV1MdlaOG5@xac(P%369sjn!D
zDFK`<b9GD#b#rk{3UOH21D*l@EFQ&q_?qF$iY;{wW71EZL7FOG>8NQYnCO`pw$pK~
zw9>6^xcB1sEM6gd>ftgB34@8sqzb5Isw#W#D*p<L9*5tnDKSyGP|6Er{QwK^xyvX0
zfYZyJAjC78aB--Q8U(r)$^n}0@+YJQkrA{~Awqz(WZ_`#F6^n#9hDSSFg-kdDg#qo
zR#jCVLZtcAAm5iE#(u%Ow4|UczoM+TrmC<!C>c?r-R1=kns&>FLGE&8uwY_j0lDs4
zRd&m{D$0kL@-{y@bTKpvmgwk;*1RM{MT1pW%=YpN&rmJ`CM9W50}#h&grL(>ZVMg$
z<?I1bE)}BDW@fRY*ooMlGwFr--t#Ve-U$$>3Hng~z@ZLBZ0YCZ*YnXXWCv4c7gdP!
z<Y4Tu+AWR%ANa9R$?N((Ldi|~0i_r!g5xn7zAXZ~*liX}o=P$}HvaycSuBKUP_G1w
z#QQHf16~L|b{~f(+C0xJx^C~^+(@||tz?g=%50Oi^6`@6KM#{vjUEsMcsWJKC@7XR
zLaA2RP5uf69_3E|Oaq?)=w=qgt_zx^9N~Wk)4|jQlob`J85oSq95u`Wc1n6wRFvJ2
z-1N(5Kq=ux@jrf&Pz^lHix;QRrNgs5{rn#R7#j4URk!%END}O!-TIQ8|DJRh21U{h
zXnLC!*b;eLTkiq~v8Uq3Ms3&}_^?i%?oyopj6sR)DUwchq-Wvgz6O;RS}GXj44$31
za)5?k>#*ET`na%P`<XFb)Q--y;H=u-yu>=|@3d%>lMJ`XK6;>1g8G$e$1-rve3>YM
zfj64a15|r@7f@(vl1`R^g!;^Sc_Y;RTq^)ZB$o<sg+=JaRQ=8_X#z!~!q&7xizd*X
z{=e6a1gZ+1#5eAOh6M6|tupu`2^yevi1kWx{dFDw`-dBN65vCT|6SVumP+gmU^z%#
z?^yhgsjgE1Qv=BQFn=fh-+Tv1!GID91mb16|F*{S_vfCEp<9dui2t?lU?7x8uugB*
z3p4*s|KDMHcz`upxlm~T4f@xfH>hBl$bDSdQ2);`T2$b8*;f^U`ZwsmJxC7Bjtq%+
z_<Jq=_m6#Gjj8WTDTx1Jc7zx(JMnmG?0;Belntz@QiMbh`e(L0n$>DI|FDgXO-7Y4
ztQ~q;P0itC;0!`)X&`05CPLoff21}~D1ZxtqMWh$d=)GNBX?#=`j<lb!QjWvasD%*
z6alad1pV$met*+!zy2(W&^#9KFqJIu?U5h>=AR9duLFB}dL}0)EohZcJ7B<v$lT5I
zR-|(aE&rPeZh51%o<LBCve6V_uiFaT7Sp&zPUuTX#an_q7a_ENg9)+0++P04%+2)&
zg+~^9N~pRpKt>s$XfptiZ-&Y9!v%9RmHgjB>QOO+R&xOMcGe%}q#@pdZTwCdK3**h
zOsl>jvHrIk@<;;#Spk`{9WVqq=?e(35I|Ey*spE4Y!-FY&~9TWR))H|vh@FL9eBsA
z9#HND1qH>Z*E(4!i5wTbDAC_1LzfEJ$9=xOzCQ;O+W6!e{^y%=ofhyJw59aDlZYdb
z#@}r{mJ>?HXEA}X2uXR%C<kW-b}bpYu*ttC?4g5?0SyRCbNzbfymdT$VQCPsP17+`
z+W^@io{(3gS6}(87cK8X!&q9G|KFmoK|#`Ynm~8Q#f^iq0#Ol>RuYw;iI5g=2?Ba@
z+5iDO$vjT=OyQQGv?MqLBqE<@JRiPCtjW0V1xVQe9Yi-kUIl-XlS;zE!eyD|Ns}-r
znV9RHD3DMJ!RwYt83ZZTJP@Spg1hRVmcy&69K4v%`v`?85WvRS0=_(e{mjY9Nkvs!
zQX<j$N7a^)$5qHqBjij32A&&{QqU#Km;4bR2`4*Ng}zu2;7?jyL99l^DCqwK6Mf(9


From 7d4ab4a97d0d029d741fc0cf10bd87f88fcb374a Mon Sep 17 00:00:00 2001
From: Dagney <110415401+dagneyb@users.noreply.github.com>
Date: Thu, 7 Dec 2023 09:16:48 -0800
Subject: [PATCH 15/34] Update
 2023-12-05-improving-document-retrieval-with-spade-semantic-encoders.md

Signed-off-by: Dagney <110415401+dagneyb@users.noreply.github.com>
---
 ...ument-retrieval-with-spade-semantic-encoders.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders.md
index 13f5829085..eebb582491 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders.md
@@ -10,16 +10,16 @@ date: 2023-12-05 01:00:00 -0700
 categories:
     - technical-posts
 meta_keywords: search relevance, neural sparse search, semantic search, semantic search with sparse encoders
-meta_description: Learn how the neural sparse framework in OpenSearch 2.11 can help you improve search relevance and optimize semantic searches with spare encoders using just a few APIs.
+meta_description: Learn how the neural sparse framework in OpenSearch 2.11 can help you improve search relevance and optimize semantic searches with sparse encoders using just a few APIs.
 has_science_table: true
 ---
 
-In our previous [blog post](https://opensearch.org/blog/semantic-science-benchmarks), one finding shared was that zero-shot semantic search based on dense encoders will have challenges when being applied to scenarios with unfamiliar corpus. This was highlighted with the [BEIR](https://github.com/beir-cellar/beir) benchmark, which consists of diverse retrieval tasks so that the “transferability” of a pretrained embedding model to unseen datasets can be evaluated.
+In our previous [blog post](https://opensearch.org/blog/semantic-science-benchmarks), one finding shared was that zero-shot semantic search based on dense encoders will have challenges when being applied to scenarios with an unfamiliar corpus. This was highlighted with the [BEIR](https://github.com/beir-cellar/beir) benchmark, which consists of diverse retrieval tasks, in order to evaluate the “transferability” of a pretrained embedding model to unseen datasets.
 
 In this blog post, we will present Neural Sparse, our sparse semantic retrieval framework that is now the top-performing search method on the latest BEIR benchmark. You will learn about semantic search with sparse encoders as well as how to implement this method in OpenSearch with just a few API calls.
 
 ## Sparse Encoder is now a better choice
-When using transformer-based encoders (e.g. BERT) in traditional dense text embedding, the output of each position in the response layer is translated into a vector, projecting the text into a semantic vector space where distance correlates to similarity in meaning. Neural sparse conducts the process in a novel way that makes the encoder “vote” for the most representative BERT tokens. The vocabulary being adopted (WordPiece) contains most daily used words and also various suffixes, including tense suffixes (for example, ##ed, ##ing,) and common word roots (for example, ##ate, ##ion), where the symbol ## represents continuation. The vocabulary itself spans into a semantic space where all the documents can be regarded as sparse vectors.
+When using transformer-based encoders (e.g. BERT) in traditional dense text embedding, the output of each position in the response layer is translated into a vector, projecting the text into a semantic vector space where distance correlates to similarity in meaning. Neural sparse conducts the process in a novel way that makes the encoder “vote” for the most representative BERT tokens. The vocabulary being adopted (WordPiece) contains most daily used words and also various suffixes, including tense suffixes (for example, `-ed`, `-ing`,) and common word roots (for example, `-ate`, `-ion`). The vocabulary itself spans into a semantic space where all the documents can be regarded as sparse vectors.
 
 <table style="border:none">
   <tr>
@@ -37,16 +37,16 @@ When using transformer-based encoders (e.g. BERT) in traditional dense text embe
   </tr>
 </table>
 
-Searching with dense embedding will present challenges when facing “unfamiliar” content. In this case, the encoder will produce unpredictable embeddings, leading to bad relevance. That is also why in some BEIR datasets that contain strong domain knowledge, BM25 is the still best performer. In these cases, sparse encoders will try to degenerate themselves into keyword-based matching, protecting the search result to be no worse than BM25. A relevance comparison is provided in **Table I**.
+Searching with dense embedding presents challenges when facing “unfamiliar” content. In this case, the encoder will produce unpredictable embeddings, leading to bad relevance. That is also why in some BEIR datasets that contain strong domain knowledge, BM25 performs best. In these cases, sparse encoders will try to degenerate themselves into keyword-based matching, protecting the search result to be no worse than BM25. A relevance comparison is provided in **Table I**.
 
 In dense encoding, documents are usually represented as high-dimensional vectors; therefore, k-NN indexes need to be adopted in similarity search. On the contrary, the sparse encoding results are more similar to “term vectors” used by keyword-based matching; therefore, native Lucene indexes can be leveraged. Compared to k-NN indexes, sparse embeddings has the following advantages, leading to reduced costs: 1) Much smaller index size, 2) Reduced runtime RAM cost, and 3) Lower computation cost. The quantized comparison can be found in **Table II**.
 
 ### Try extreme efficiency with document-only encoders
-There are two modes supported by Neural Sparse: 1) with bi-encoders and 2) with document-only encoders. Bi-encoder mode is outlined above, while document-only mode, wherein the search queries are tokenized instead of being passed to deep encoders. In this mode, the document encoders are trained to learn more synonym association so as to increase the recall. And by eliminating the online inference phase, a few computational resources can be saved while the latency can also be reduced significantly. We can observe this in **Table II** by comparing “Neural Sparse Doc-only” with other solutions.
+There are two modes supported by Neural Sparse: 1) with bi-encoders and 2) with document-only encoders. Bi-encoder mode is outlined above, while in document-only mode search queries are tokenized instead of being passed to deep encoders. In this mode, the document encoders are trained to learn more synonym association in order to increase the recall. And by eliminating the online inference phase, computational resources can be saved and latency can also be reduced significantly. We can observe this in **Table II** by comparing “Neural Sparse Doc-only” with other solutions.
 
 ## Neural Sparse Search outperforms in Benchmarking
 
-We have conducted some benchmarking using a cluster containing 3 r5.8xlarge data nodes and 1 r5.12xlarge leader&ml node. First, all the evaluated methods are compared in terms of NCDG@10. Then we also compare the runtime speed of each method as well as the resource cost.
+We have conducted benchmarking using a cluster containing 3 r5.8xlarge data nodes and 1 r5.12xlarge leader&ml node. First, all the evaluated methods are compared in terms of NCDG@10. We also compare the runtime speed of each method as well as the resource cost.
 
 Key takeaways:
 
@@ -443,4 +443,4 @@ Congratulations! Now you have your own semantic search engine based on sparse en
 
 Here are two parameters:
 - **“model_id” (string)**: The ID of the model that will be used to generate tokens and weights from the query text. The model must be indexed in OpenSearch before it can be used in neural search. A sparse encoding model will expand the tokens from query text, while the tokenizer model will only generate the token inside the query text.
-- **“max_token_score” (float)**: An extra parameter required for performance optimization. Just like the common procedure of OpenSearch match query, the neural_sparse query is transformed to a Lucene BooleanQuery combining disjunction of term-level sub-queries. The difference is we use FeatureQuery instead of TermQuery for term here. Lucene leverages the WAND (Weak AND) algorithm for dynamic pruning, which skips non-competitive tokens based on their score upper bounds. However, FeatureQuery uses FLOAT.MAX_VALUE as the score upper bound, which makes WAND optimization ineffective. The parameter resets the upper bound of each token in this query, and the default value is FLOAT.MAX_VALUE, which is consistent with the origin FeatureQuery. Setting the value to “3.5” for the bi-encoder model and “2” for the document-only model can accelerate search without precision loss. After OpenSearch is upgraded to Lucene version 9.8, this parameter will be deprecated.
+- **“max_token_score” (float)**: An extra parameter required for performance optimization. Just like the common OpenSearch match query, the neural_sparse query is transformed to a Lucene BooleanQuery combining disjunction of term-level sub-queries. The difference is we use FeatureQuery instead of TermQuery for term here. Lucene leverages the WAND (Weak AND) algorithm for dynamic pruning, which skips non-competitive tokens based on their score upper bounds. However, FeatureQuery uses FLOAT.MAX_VALUE as the score upper bound, which makes WAND optimization ineffective. The parameter resets the upper bound of each token in this query, and the default value is FLOAT.MAX_VALUE, which is consistent with the origin FeatureQuery. Setting the value to “3.5” for the bi-encoder model and “2” for the document-only model can accelerate search without precision loss. After OpenSearch is upgraded to Lucene version 9.8, this parameter will be deprecated.

From 5a5c96ff9e0028aef81e5af03e3fff775613ac1d Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Thu, 7 Dec 2023 10:44:55 -0800
Subject: [PATCH 16/34] Update 2023-12-07-semantic-options-benchmarks.md

updates from Patti

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 _posts/2023-12-07-semantic-options-benchmarks.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/_posts/2023-12-07-semantic-options-benchmarks.md b/_posts/2023-12-07-semantic-options-benchmarks.md
index edf92d7394..77bfe0bab1 100644
--- a/_posts/2023-12-07-semantic-options-benchmarks.md
+++ b/_posts/2023-12-07-semantic-options-benchmarks.md
@@ -8,8 +8,8 @@ authors:
 date: 2023-12-07
 categories:
  - technical-post
-meta_keywords: semantic search engine, neural search engine, keyword and natural language search, opensearch architecture, benchmarking tests
-meta_description: In this post, we’ll introduce several different ways of configuring OpenSearch clusters for semantic search, explain in detail how each approach works, and present a set of benchmarks to help you choose one to fit your own use case.
+meta_keywords: semantic search with OpenSearch, semantic search engine, deep neural network, benchmarking tests
+meta_description: Learn several ways to configure your OpenSearch clusters for semantic search along with how each approach works, and benchmarking tests to results to help you select the right use case.
 has_math: false
 has_science_table: false
 ---

From ba23d088159532f653cd5366e11342b455cc8f0b Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Thu, 7 Dec 2023 17:13:07 -0800
Subject: [PATCH 17/34] Create zanniu.markdown

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 _authors/zanniu.markdown | 8 ++++++++
 1 file changed, 8 insertions(+)
 create mode 100644 _authors/zanniu.markdown

diff --git a/_authors/zanniu.markdown b/_authors/zanniu.markdown
new file mode 100644
index 0000000000..34ec8087b4
--- /dev/null
+++ b/_authors/zanniu.markdown
@@ -0,0 +1,8 @@
+---
+name: Zan Niu
+short_name: zanniu
+photo: '/assets/media/authors/zanniu.jpeg'
+github: zane-neo
+---
+
+**Zan Niu** is a software engineer at Amazon Web Services. He primarily works on OpenSearch machine learning plugins (ml-commons). He is passionate about high performance architecture, distribute system and machine learning.

From 050b2bd64c4fce9b7d6b3e8e7380777b9d9531c3 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Thu, 7 Dec 2023 17:15:33 -0800
Subject: [PATCH 18/34] Add files via upload

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 assets/media/authors/zanniu.jpeg | Bin 0 -> 25988 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 assets/media/authors/zanniu.jpeg

diff --git a/assets/media/authors/zanniu.jpeg b/assets/media/authors/zanniu.jpeg
new file mode 100644
index 0000000000000000000000000000000000000000..cb93b78e585906d83268eb74b456b9c673e2e45f
GIT binary patch
literal 25988
zcmc$`cU)6jw=NvSvMq>Mw;)7CWh(+(sv;ydx|pp95fHK!kxndxA|Y$rKtNyv0s=x5
zq)CaC5NU~0rAsdXB3()vC50p_ckTC__niB?zx$nczxSVS;!2ieWvw;loZ}hKc;;A0
z2c_R(J1k8tOkpzXWMJmd4@^2P6JZkQaTf-&wuYU6!C*hZHp%RS$wGTF&<{*T5w_tU
z`!LvT8KwW)_muhNKaW`l9it6{USYeT?ZLWT|NY%C57_$u{B9`p{#S#p_}5wg<6Zk#
zZ5_i?+J?Ux96V)UcuL1m?+gqk|0fK#2|8l^uiDzD{*?XanPtxXx&FWQum8E@AN$a8
zGVXsW{MY`yKX?AueqgN3f1F2Voh&Tw&wu=Wy@A0QSX}J?wjcN3`)~hw-BZ8*`c~$@
zt$4fcpH{4cy_Nm%{r4OH^BCx6|7!m?YyNM))A;qY;jh2KVE^YkG!~y>3O}ub?nqYV
zFl?QIjI4r;v>pbBjNBmekM<uIg8siwcKwEpn||87Wh-<58R`rfS=n{#WjAbC4|TXq
z$X_O}SJ<%g(5dqqcU`@;>G1vC+K*%3{iJ%K_{*MaU7RC2w;w#&yk+mcpZ6;sJ*M`{
z@e{gw`Ua=Z7+$<&Vrph?VQF*S)((Bc-ofRL>s>c@56_2wIRAjaphr)iJr50g5grj2
z|0*Fd>2-2SM&|ph?3~=Z4<)5#<Z{ZViptu$`i91)ugxvpJ-vPX1A{}u;}erp(=)R_
z=H|Ie%PXrqzCgJ4mt9aF|A$%7>wj4Gf7k^LtjxOg>t)w(`pYhvbpd}FuCRW?p;H@o
zp1->3*8N?FwIBbq`$Fuy;xC(3b*^#t+<wrtW$zK)@uS?oO#6prf6uTd|4)|vmtp^H
z7aevHw(cKIcHKJJ4YIPb8#Zo$+Qy$Y{?&fk^3y-smj7(q{?WGo)#U%HNuiU-K<8M$
ze*Grs-;S-Dx9<42n{*VKst2XRux+w3&}5QTfFWTLaYn>1u>T)7S?Ra`*L$$8{bO&$
zcy$1GQ!R2^wNB6k`+(>DIS1P~-#8B-jx=_c*Fdlq-<QIk<U7y@M}IJ6s?TUJry^7%
zZTf)wiq%iqCZ10$Fs<xQTRO5#ls`+-GH6lA1B4z1Tx|QHGhYzXK#99qmfT#GU__C^
zZW%O{f-=ev9$}eU+(?rOuQY>3hrWb5$=u;y-+ciyt192*nV5T-_efJZDCnY3z+V4H
zULF|EN3!-)&_Nh0r13{$*|}lNDv=qcRjz%Y-uSkCA^m|AmSdhQh5dnDny<-)4>XQj
zVOrQvY2V+|${5dB)yorZeLj5Gw=@N(TsZqfP{Qi$Q{X#^dh!;G>-Kn2OI2uRq2YU{
z`~fP%q6Tn?DL5xT=Ba~8N#6k7#5+8Ud)i!V;+ijbfS&JmRLb2A1h+j!YEg$pVdGL*
z11*%cXQd|}e}=1(UgJvy7E8k7ko-x}oD{asp?i<2#vdymj(_-4X_J3$%P$#!{5u;`
z+V$@bZBcN2`caM)_Dt82wlgs2>QjsE0#)ssH%BTPcDtXgqOGe`6e~f7g@fOc#<aMF
zNp&$>FwAedKc~<5yO+OT3!OQK0BVYneNx!xe8Yq@IN3Q`xD>{@mbR|3^SAi#InPLV
zN9^rprFs6TR<G>*<|>wQ>hv7lhu|Q#gU%a6=ph`{9v&1_=>Fu3oK8>JS$8-`ysUW*
zZ7PNNz(ep~iURW+9XkHRBY_F8W?hjvt*bEOJ`V@*)oYJg-%^-Lqe~cUDXiiq|4r0M
zoU@uBYf=i^f0Nu4zS>%Ioi!J5|0Gumqb*k_MB{BpN1Pozdp^)O`D)<Hq8nvG$%-}9
z^O*F^MD?3k_n(2!?m6bh@3K>>bJHEgQW#tB)Ex>SSTjeC3Hkk}zz*<e+*?<Qhtlm(
zDa;LrKAt@2c>XO@GDUkhEn)DbFlH7SY>4XN?-X`Q7^iktB)uvX65V1XgWUxVPEP05
zQ5&bEumFMkN98;E!#>Yx#Nh0X#h4}9u)b;zAKBOU0vwoWJ-|3ZYb*&_fo?k?_5DJ)
z()ef+z^KjeElO7VrnlZhbx9*dPYO#9Rw;?o%XaKp1?@J+&!Q%5N#{Ay6{NX+twmzw
z00vbZP6&8Bb_UI{Kuia94!$Q}V%%4ySBj(f-Q_-hB8$ZVyB@b-s~?Ww4TEMakvlYo
zQrO~k(II#NveZqyo81U*tD<n4n6d{d!58{wlAN8aYRENxq_Ej>1QAIljEj+igzrEE
zLFH)!AitU)^6+vhoJzqz_nlwhC(wqx6~S{F<jAm65i;ES+APo#|AD;>4Ejl7LsHm^
z;R@*)uvd)ZJgnb50S~PtkEOh${QQ)S5*$E2xC6PUUD<rh5OE;;7g8tm4J>b*LuuMX
z=7dGY8SiRntKNWJIop4QYK3f55|pbXtjRcCO$pw=VfWSRGA6r!`#akvY4^Y9GbC9-
zn#e-@v*5y#W8gwPkB5%cWS1QD$ieb193x=)`QMB}xVs>LEIV#wHEC_4J8Hb$s9Ao@
zr+|)TY{j%`F_T0nT9cOY*gOa?jj`%+K^+_UNeT--+{j+GWYl;27ks$#nGi2N2RTQ%
z;7V=KqS4mxk*zaP(^2nxkD2fJSYc`s)`o{?5e@||H<bvg>H{3=voaDbQgBi4gYads
zY2sJFnp+j<fc^=WH%jb~EMd*#1NbMhy3N#BJ%Uj_KtC~yef=#jAo#xioC1<wKuKTr
z0$1NjVYm;elDE3o&YlX|$71F3*&wf-!EeyfKJGjj92DIQu3E^k6ZMU4gPWZkbdE!V
z=o#xsV5U+4Tz>XvckQO&>Pl~b=cQKwA;9%QqHxx%Q^_u(&6&}5MFq*rd;Gc!JHmC7
z!p>(LNe)1cNnx%8i7)-j#&;r`0e?=65gk2YPZxuCN=!<pg=h&{yskp{M~>%Js@QU_
zYG#zbkWnf!E}-5vN^BM*t1RO38gd$!sI8yku7esKsZ!XIvbTdIecMfk;)+XBm}8}J
zDsn^$ON@S%D(hxpKK{vG!`4?{tF49hP$GqCR<?Rjzo>S~r9ysQUy#ZJDh>x>Z;loW
zpHE`W-KB$*y4Q@fuGx<bJ6ir3#J_5S<d=Kj0p(YLCb&fR?Y9+cefYL{yYA2ZF+ToL
zOYK{|h0~xIDJecN$_Vu>a7pwpAEYhyQGg%7EGQ~^uqob}xL8>@z@jc*)9Q!<M}tkn
z@~yGjpG%o(pzX4L&^0xYhuE)++@WgP>+6>Z>!~kCm$%P;-ium!j$+qxLFNL#j;ALn
zDWgRgIuZXs9AebTM~q*$atxIWd!F(?2yCM=n)+$m^}J9ePI*?i9-cvZ{{uXSBJz-Q
z3N|=?43p?9U%c!_j(?z|#Z{NWWNRU0RCahC?hcm!AaxQ4X}nAz!q5mKUw!{q?9RE^
ziQyj<G4KTrKMn5h`2^|;o4773ij*_85x=}$_cu0qY0uwxuMcPgJD%Or=&0q#FI!5h
zDuzGg@sm@Biv}hb;@!)<LTfcE?9lS(q`_*c61jQ8JLorfmA4}$nNJ)p&9iwW4^28>
z5`FvfBsPYmi`vFG#c_VdI{7=Dtm%x5Wu=P7L9CV}LcCa0LrG4zFu>2%sFW`1d945=
zqvpgAf0h*1q^`-7!g^dOl_9LCWdji|bV9?y$ekM$-2r-I?GSw><EjwsVsFG4Bx}8v
z!c?0|Z+8dLSyU-Zw34#l|4!6&kUl;Y!544O%VD_zyzW>veOeWk-HSI2A~u~<s6IPx
zze_2Wx@_l`WWb<Tx%#0k;6vRL@)dlQm_y1clhYq&;KyGTqz=F}rLb|&{*qKtbS@NC
zP8e&`QC7L|EmfnQVM94#cvr)a`Ssp6J+x7kOqHL`VNwMrMjUz{SWVB<M<H~s#sGX<
z1kosFU*~ciA4#{2n?z9pv!pOH2)l#!+cR9%A3vCP+*-eUE5TW-lI{pfs@@YHN?|5_
zfp3=!hmBt@NnzVQF!)QwMJJ&jqk1VUMA?yzzL+sKVm(b*)n^Se7L5;TdhGamczM@s
zq~JT2CWU!J5euAMYw4~ik2)B1QZsI;e_>{Xu_g<h8%(~++bV^Ty`u*t$B~b?P=7lR
zm%6$?=rkFm@_IonzCMzF1hwXMPASD&oJdC!`j?r5-8%SqDeOL6LgO){Fgg#j&69`b
zY2<kEFvEMB`3`!63)3MhLy$l75NqgoM~~7mN7_&-J~uVNk)`MEkwVSSD)sE|p(H$@
zRon03Sxp1$rLd6@;`~f@l>FQM2g{$xY5i6q@=cV&xXgQunkD2X2ub{*I0!7R%016&
ze@W5T|JAZMhmGj0nso=B+`tILG#<jQ=%EGo=A(qP#nhvem<Ku+kF_&FdNr_i1|fxs
z%kmBV3;lTch_qcn{ZTWYze!e65?N42j6>@gYmLvo#L2?~o2<FKSi|tLx&8;L44Q%z
zRxAb@q_7zDN(E=KVQ!MK!2_Z3e6McrTl;%C4`wCtl3~zcVqlT%rT)s~PKCdPYKq=q
zgcSC07PTyCMyweVV!_Wq8ME{GYA)fY!1;SArr7}=0h&#&<Q^%kRRdy4CvzY?1V(_-
zzGK#x2>n-0_Eh|F)nqs9Uu-hc-oNd~vK>_Qz+q$<Mow%o8E!6XQj+rBS5%ciz=$8w
zV&o%Kbg0~zNSqY5$FoG2zn0p5HgR!s7LaVGy+aC4s5Pu`0=|e)p*$U*UL!~K>JReB
z+hr<uh<v&as*#pFr%4_1xEFx$=ORIqqDMr<b9dbN$J9k?6;Q}Y+JOX-R{4%W2K?Jr
z&&Q${$Pif}<TZc^IJpdb`rWS-yQsci#itYwl0)J5fc6mKnQuNdoAkSN%uEqOG(A_i
zq~pz^`R7-1IwBzt@XtmXouYBoT9<8KIaY37GKYR;GJ36H<~&%Ew!H~*rwS2?uYTU=
zPPCSm7Z&0u>ao3g?=><^xmFNs{y>z%Os}V0*rT=nMca!igeS!}Rub99;M1q2u%d+9
z>tpvi)>I9&n-}d95dkUeMXtVDS&va_a7c7f-pNRt&YZ<`bSjnw7f>JdJGup?pAJxa
zJ$J8w*1$h8ae;^xon;0VWmwn(OUj<V-;4AL%61CLXr_w_Xbcp1xRRvys3AzcbI$-*
zOI!l5Y!_1HOGeKtv4(J>!Zz9p#K1&w(fqp-)FJ!}f8j1Ms|sMxf@jRztWRlZXx`~2
zD?NPZdklAdSI}jWcw6+&3q+1C6!g=>uVDf&?3}dcbY$oqH9;YiX>L`IkyIWXoE6<O
zp95z{a#yR|nWW!|{;M_NO4B09q57JyjoPzqKZWG>7o|Fix`D-4G8JB`)pq_Hc+Q7~
zA9W1Y7`$DQPxIMXclpz#c<k3ISIp#f5bR`Ohlwkl(?y|;3Lgf=aRuGOtrY?IcoTz>
zA(~i7<QS5I-#6jbVH|x&X?)t3D$u^U2052A@^)ijFca;;GpCr~HnGwu0F)Mpkdjp=
z7Z1QSk$o+eHsMS~y{0WU9|<9HkQ#JQ5LaQ7<y5zU6uvl()$gl@0?Ol2<Wq1H9DGS~
z{8$`wl@{7>pAo3lX9T(FZB#q}LbOx{+Ran!(J9ouFnsZ%H`Tg7Nwv(IhM=E;&pwyJ
z7T&axpsDb{)UvUM(C3j?y;W`Kz3H-|9yXR1(}9xY5*ZFFavK|iH}@+)(7jup;-k+D
zs1#D2R~R%<Sm1PJuv686dOHo-Yo1@~%~)!Zbn18=A#xP&gy&cvP+VP1qS{u{T7xN|
zJ#EA)3cBZ$(AQIu(CFSS7T?bvbvJw;smQD-_bFV)6QS@{Ax5&rB;_02^*crf&wm*D
zB8BZzKV2O@i4kIbARHCBQA;{s{LbB;aDVs5lf&gtcbc6j1xO!7M2<leh~n!*#)Ntk
zmVhrtG!Fq)BT#{$C@B3c5!fs6MW~GPtpYriL`?pe{3ijZoK3SV#x%z)HceKMLIEYQ
z@x-Znw@M>;BNm2|)d<tUjyZ7BJ63(I#T5Npa|_vUSEY7txO+y#51oIN`68u#e-D!0
z`@SMiF%B5{N@3dx3Ia;wH`wx=A%5wCPXAq}SYUFoOhyb*(JvPe+84PlyqDaw9uLbZ
z(V-e0k#5WQ!Xrj)&7io*OuUYET7!iTFFF)!AcPR!DS&#An!>lGR;E#|bXS*9_-_bY
z1_+|lZU(&&LFD~YUh&e78zYjK-zZf;nue=|JunzGH?VoV!4kdc*ouYI9$IzkyxQ}f
zDA7cIdjc+*%2S~6EEg0`UmC3e*?i9%RKKMze{t`5c$(581lvf#Dux_(7aF23%Nj1W
zDK;iYM6Ga<?Vv|=lD_qU@RA!CHV}lYxUn=mfzgn{qSSA<^7rj6rHRXKfUY1?=ysFr
znd#sc9ckU|qF}WQ<N|RedRi-+Dlb{bIvH(ed;#<EfXFzQ9a?=%@2r11gY7dsU&yDi
z86q;O9wW!Tw1wB?7hEodRYD<D3Zts0x%?hr^SR~f%xUcQ#p)7;wh!%I8=15*@*tNc
z5yg8!`06>Lh#rc+V&+s*+qu4ghUCvbf1bt<Bki!-^d^y3%Q!Zb#P=og8~nZ*Z3cLz
zSi{EIX*<Y#B)2^ea;~BlTu{fBvI_HRlWgzu(m3npo$53ZO$~Cql77YWik2n5gU!VQ
zBI0s)4YCdF>Q0oW8HaWncuJ-~$$bZ0OkDSzjvD)SVFom9<F{YbL6??QcR7IVpd*&S
z6opT<fH#SJ$Sqb*WM$rz!rp;G#}+bh!l@kuTG2rE(3krj0WP}1{QR#U7>pQpj)V)A
zg6mdWfB1j%SYtMYYW7I>@^8P7lytIl#Io3Cu-(4HgBpWKdg$?C=#sB0qso^Z7w9U5
z*+b+9B3O|Q3#vVdr&;*WgxNs8X#wqs6t+CJ51fRCxQRzwql83`x5t|x!tykQi*zs3
ze15#>2T=g|<;$-AtkGJ>oVcZlvpmx$SZbs$b_vnE3zRtwaCd+1d@`y*Z^PG+r<`pJ
z__XLvQdoJoW2JMVYI%7X<yyO3i`julh$cV?-ZUVEsd!rWP=?5btHtK=(^#!p95ksP
zLz4y>O>&PPGRZBE&%Ig8nRmAOf`hLm2|<ehDQpu*NM!5T>X<A4L>WC3J+se_R)#V(
zMGJjhghmYh5eXgQf0f0g@f7Ug;2*Azuh5|=HaiN0Ze9vIL4&Y2{deyAM=$rmRUIzQ
zUNFGZRYT%0#YhAUuV%2}!OjKbUBJ*|>&Va|u@(ENnZFC%B!=_bJvZ2<^lKqDCAl1v
z6dsnsI#FqGN%Jl#>@JBYzPhn+y!Dfj)4Nj<j`sK*&|pZ?1g?1tkARZk_58&0Ur~Mq
zuF-l+^Z>EwrkF#MlnQC=(TC`3O}glQgZn2!vgvJ3jOAhE5`(iv?)aOA&|>4h>7vri
zhMM<2ZN*a9k3ABscpLXX`bojr?`(w;^COA;%VhuG1Mu{9Ab~6fe%$XINA0k>8^Lgm
z2klv+W=!{hcvntSBH@@oRqHvS*H;U#5p-ndM$y=HhS6n0CeF=TG;<Ak{uc=64ni-m
z|7nx<|2>!^MN45=WB<-`l2?R-&d#$fDQ)K=2J^^bkNTpe7~(-s$bv*=Rh|>r<d4<4
z(WlY1Zta4i=_vEDJ!)K5n3is#GI67aEopJBKNgSzx#?NdDHf9<7{gSdjc7XFalk_t
zDU5+@zr6kSk066<rpTu=4$*-hTP5A(+oCoDt+P_t*6W_>KIK5T`p3;Dr<X2>X$uI4
zA7z5cpsPoq+4ZEt-7y$=P?_o%|HzxUob>>m>t(*+()E0?*sN5NMji;n*2UdKA)e=v
z)<P|Q$MTMXhW#AlYDJO`P-r4dAV8?Qt|n6?hb_pUK6lo*RyR`~r#JGFD-mEM;pz=(
z!9<hibq_D)eOEdo)*}>;UP!W&KSqB|2kq7PU6AUwgdQrVs`OwNT`HcUJeaE+mS%)N
zUn{?hMz=tC{y=ON0OPauH!{h6-m^V=FOu4XNq*OWPmsSrU;~gbcJ7#shq^L{uzpPJ
zPG+=LLaa@|DCt<1u*~?*yIsq~MurS-{W3{o@s7w)z2vV*i(4{_K`42pZ{IoMbWwYV
zHA2&pa8@N7>3GAk>JpKvK0`Re2o4anKm%1wj(Iw)_M%Lv3+%9O3QXD|e4wM&Mn_ga
z^5%f)-hxT)0dj6nvUn{}&54Lg{N<&`NtzmQi7iAv?vX?+8lf}IT!NMRsxQYP*_m<3
z)F}~*$m^g+3#LW;1+;N$Hm-BS1)SV^oidNA8E8J-0RS+0pyQEB?pmZ2R;xi`Q~YK&
zLO_K!;1~j2_y~3kUA%>LztqUp<igF8qdt2>Y#@y3SEpbQYM6;YaO#^BMk$rtMk`FT
zo~0C*_n(}0w7$^dR7IWbqybPUl)@xiYP`(L;)c78HCY?{Lj&BWFjSIQULNd4@x2PG
zIXF^eW}sh{nFu%YHHVBz-ybiUlQc1wun=A>B0HT<2PI#xU4|n@=P6g`c>`7UYRUW)
z;yLos03mXOQPm2;4KPwP-?7%@^ihPXzrwT84k0x|v2qu%o&kY6jSnuN4<Vnh-%&){
z_N6)urTIAcgij-+uvH!4;VcxwkPE5exVd9)J43Q{Tpuh2JuHYKAFdX~XF_1z1_=t~
zM)R+PSGwg_%)gUA{mx~Mu5YR8g6>iZixv`_mH~>*!lMA*6Z%o=*VNfz+SoF3Kutt&
z5ktaCbzf}uNV|W}9F%v#b#y-D<B3#oGKYf%!=y00?Jwk@74n^mSaH%|TPuI)L|ccW
zBX?uo_(GMF8#8;t+;yZ|-FqYn3FQUQpq!mg%%2F{pU7^<t{5yOCj<R;TF^D<NTG+5
zei_fOudJN^veaVQDDtqR*#=<uNCY4nN}N-w)tKnLj|wV}<xpDU3C&0-bk9yfP;WOA
z_Tfta_!K7#3ZGPCbbw83^-zX=az3jlD<J571AcBcB)J-j^$*>k4vqFjiDo`Y6vd7X
zt?S#1T_io~K#$fc6iej1c3$+z9jwy-Vsw(oG+P!E1rpeK<Ee*E4%t%J*l<-t1+>Zo
zEe~+@)}UTn|ApII4*XnXq_Y)X8u--m&&$uC)U+XW+HuJa8jk#>!@)>3dy#6n@Tx&J
zTf~Q?xq(q+aZ&m3CZ-N&jEw>gYoLGIyClz3i|XqEMFqFFfp3#o5e_DzjKs>9|4NvW
zmk#_*IQ>czoODjsYg!bJk6J55T0i<F8K_o!-UPN{ipW9}DQv?Z!%|r3-q)EP>J#b)
zbpb=$R^Na-kSPnOxbY*RxdUW3LaP^Ta>=L+5V1;D_(7|?E#T}*;0F#jHKdXY2c6UQ
zNjlROQc~7s)t_p=WkhRy5hbi~`$A+uC*E0z;~4_O-qhx$%t}0C7Tk0*nz%m6aJ=;B
z)3!zp#>zKIr<jl@qftY76Qw3ub$&c9IWe(}JjRcA4WMopglLxRz42XxN2;U~*rL^y
z&N|}LfW380gO8dD)P;~n(qXDbDZTdhc(W9N+LxZ8Q8T>}z+lvFl%Gzm;~0d#E3Xv6
zhs0l5`@A$e(=Y;kU~<e&ys;WPfvg8Mi8bStlp+BpatEz_W112^e<q|U8JbkcK~&m8
zC%lfROgQOKp2=0J_Zc@<1d?^>r;`yV-ndx|R#F~2_Az=t@{!wzg$KdK2=O=Z#qU}$
z&oQ5|Qdh5#-Ko_Tni=RA$Yr1f7Cw~ctP$(rDtM&=Q$iEqb?+l{S>;SuAHWcTD1kCz
zmor|0v++&qHrcDadywJp%_#t*OsIaM>3lf{C+IU$3n>uzatVv&e2wQ#96u-ujXdhR
zm8VsHzcPU_gv?Ich3UcF==*+WB)@9fr`74haNXe|G!8(F!6c>NL4ka8%!F;Fp!8D2
z#WeI~^8#G3ALJw&Zy}Y&qel{Y30U(^SZn5BClQg{oh`^6g0tu_yDs0*LAMxo0Yj&C
zeHXHGcOGAy1Iniv92>|_IFiYF-Lzw9_3gJsoCd;6<H8|bAAW4(ykKB5X%Y1u2nRg-
z%WMr*sv$L-y9Jyhik3~pz?yQ%t!zQ!{yxn;F>G5$EEo8kpZ)ZD1a_kEV8-zZ_#cLp
z&+;!3TL$QL;K81$s*3WlZ*7q?4fj$J7Pb)QWE(&}93x)+7HC;3h289<l@$6dZ_jk6
z&81v!=Xnk70w2-aA-ez?9|7>Bu%~>jdd0g>3x-cRJpbqxITJ30Md*V|1J48N#?g<f
zZO)`#?>TJnCnZ_AMJwq9jo;M+5mac_Qu)^^%1*$O#<T^yCNK&KT&*ydtGfB3X6{r-
z&Xg$WEW#`mOrd?1!uX^3s=ObD>9N6jS>n6eg;UlCV!h3lK<j8?)3g*eNnGkAtVt@m
zR;+F6o-b-@(aPSs3h%~yc2J#XO@&5fKE%btKm|X)o^VF2%^^j3tM;vKHTMg#-N!e4
zdNw5bx+wip(cDrA&}uA&vFv(1-`x0MHib{|L+wkNd4?6b9eIGoErGL;6FGN^1Ng*h
z%N&iiUFxV1;)&&8Z6RPt8yO=q*`WNS<qtf{XPl{it){0j|4vH6`&3^a@Efr@5VV%U
zAawS`T28REp7&U7;CJq6sicT7%*-ZH4MgjqE~Vx>^&2tnKCC2U<~ypk8*N#p>rcn~
zOBfuaXaV{zT6OXTp$8l6pL)Nte|{ro&5IV|ZOOkkzxkHRz$a57=oGHiJY!KRO23U?
zbr^#SEPU9ysXo!oZfCVbi0e>Kifs?|oWU_3W{)vwl3!D?&>Vk|>%qs|?NvErfK1jJ
zE7XuvjW<gIB@py9LTm>0sVs`;#<C4QuM&lO$V;=bt^(3A>Bpcb^G6VFm9faUA2SRe
zx2fHGG|UcS%e$!5!`(;Xc;>N)rJIL+M5}AEqJ!>*xr9FAw(rT5I+eFQ8=z|rL5|^?
z`zO5j#=J*wB;Q2CfB*B{SI<GKasQti{O=YckWv6o_G2g*mF@dt42-kx=UVR?xp9hK
z=4=`@mDI_Zp(a9UzKr<fe5Elz41YEF?fjPffGmcUhhaWG9al|<zy$6Pc|9IKV0SNP
ztvP^2IwufrxgowQ2zSHE|9OzRH#;BBzjijyD-@ze;co`eJ44tf0)$?%kA3^Gr8kdG
zMU}Rp)B_|q%XSJm3V&;wwRAP-xfC`k#J4=P(bjv(LAHiH#Y(up*}D%Xv{yS6yi3`f
zwL}3Z;@vsLS*JY->0)@7&$H9%NJxNzsEO>rL$2z?YEErTSisuobO|co+F+<G*PdXn
z2|&)jXvT-4^dC9gfm%a2Q>h?ui&u?|Us>NfvZS{8NV*M01Uf*TEk8eYM3PU{55%79
ze==8jS%!=CevnumOG?ubLqh-5FaqEMRnCU3cRxIA9Y@6Nf2NFZ02Jnk>kvw9Yfr>i
zxxG=qgt7~6MDG4_wS}6v8lb6(OTp=oxp#B^I~$u%A{QJV>Y)D+B-sO7Ji9%X+yl0h
z6HlHRF8Yz6DtbX&M5}MA?~EKf)Q7g<TzQ#zen1kk;0xt}u;}VXgL$@Toi1{rSHt<f
z$=`_^bR+eq3pAi*#6tXDLBPb>z0td$oZ*S9EC=d|yT!)bg<9fvdLuerw_-UnZcm!e
zvr`whSoA@vB6%Dl8X$7P0r9SIj<y#^+A;5;m#?3Mc-8Otjv8~8(6y)c&{0U@8=Rk`
zOpVg?YPKE7;(VQ|@4woA)!1r+_{Az_+x#`-mu|j{)kwZ#HT?6K4j20wwHK(xeSax=
zJp9XQloqQ2w;ke)U|mxc9}7_-C)#XkC7SYswhuhwmA<unz$hdmB;K6%Dfq_f4L&*k
zW|Me(4EWvxQe-Nw=X~?Q#TbumNSel_>kFOYrLe&dQIE<_JTSkOd8NR(ZZ+pSyMetO
ze~Cj)ohaOnOHo?AN#O?3nre_x+C7`YSD#ZhxE8cea(A>(utB68NVMhbYm!5KZ*Ol4
z?Xk6|cB-(2fu#&>fbkXIDfXv5Ff!g<JlMF{K+zg2is(Dz%6j8B87OK3g7Y$(mi5_5
z{nbzHxxM-u*JikJ!(;sh@$K;}Qj!=2Lg~yd8^M6R_0}sXGybAT%u6U<YX){svg<b!
z<iy6G_Ewstp7kt^`84Jz{sAR@knCL{#x8|46#mlts&UR4F~?@?qG3}_X-RePjec(2
z4U5PH^5#t}Tjbm*5CowjaSEI;#!uq7rMy4-21gw9qEpooY@Nlexufd9Ku6{*q;~va
zn!skrfg1z?=Zc*S`@4XUWh=d=&Xa5jpOlL~E<y%k?I=sWKaGOzCPv*U#7b*?5mpd3
zqnRnXMCdcT)Q*$FHYdKlXpl^{xk9IjK=e>GQT#CEzLv-?FvhOZ3;q%z$Kk)sG?ILr
zTgaHd1Qd)U4O^ZsUIPlBT!(b*1d;j&u#qOediqY{_#NQ@D_@)WNMJBYS#(hgGw@X0
zA-b$Ybz+E&{p)`9vWfbAcUd?WQJ614-smg90h^Uxl?SOZydJe4t>3KGd^qSEKIypl
ze&rFZC6KEgE3okhfihy9D_w^%`c~y}omhS`SgdZ<z}SL|*`f<ov=saa<ste=A>`+b
z4~*?&EBNc2>AsqB<`s28oV%kSJK}m##HSdK?SXG1H=V!*-7%Sv+apFE_9z_V_CZ+K
zW4LrY4T3~x%y=LrD<o26>YiAMjU;c@aG`Gv(rL^WBW?q{J=}!4=A%u?OA=;6XVSoo
z&%Wq)9yghU1MeSVsz!>Spbr7wWDMp#oO5MCiLn#xb3X9ujb@Va>bSc2gv*_wzZRrs
z&7P}ToldbpptLn;2BHK}FvR3z1R)Q%XHH^Y@XLXUI3+J7`%eDTvu*j{z-arU$cLTC
zduWK4|56n9uU3lX|Bb>WS>YI@BqW0kb}F(4knsjjNlk-#H6}?mC8=zUzR6P6TA)(?
zD&|iIW73ch%Rs^h6~S~V?0dFB2SLuga?4~Zt&jheHfFAo1xU6P0y-t|V-rBCgs`@p
zZ#zvqK4i7IbGu7wO2_22s!!y{0ohZQBH%MdZe^}oUH>s|$s}MWVHrD`VlW1ARPRx*
z8R9zkbVA-{KhaWFh~%Baky9kjqQmm3(;b*UR_>iP9~4WtZl8gOO54V~56WA7EIW=n
zo2EC%O|OgRC#wnvKmjR>_B}PliOg?Ia}JtZR?*nP{wuNVhq9$o^dPvUI;GR*`Gil2
zD!!nQ@6|+5wzn56K%MZ|Bq!r&QRHM~&>b?2Y3t;05(+DSIAtESY|C<Zm6xW_s%m*P
zZ`TT@fw*~P)W6%~R!<KTGlr>dcHVUByE<e2ycFh9-tFjF&g@WML0);RmP_u0{TLRX
zOzIMTSXkDaae}Hp@S`VnD?;jixJ14rsLnba6V+8VJWFxTzoY7r)ap7|@RB&{2gJrp
zB9@4|2u;M&ffpJe9UeB-qp5f)o~ekd|Co=5Doe)UP+6C(q-B+)0Jf{_?cM8zWh$GY
zpa>dzHYx5Hi2MY)L0|=JAirI@2>CU6x=o9J@ltB}fbUM62kS+?qRp@=I;whu8^C!l
zR^!Zud1rJP#gtxDJbTMV)J$Uo0Ki|EV64X<<T^jkXwD97?69)7x>%Xmbu9jt$TzJt
zgxn;W;~#-m@Msr(2;1vCTb4Wnt{L!$D`E}^9`&5-Ciw>J=b2TS#tW_?m#LM-dt7ZM
z&&>7YTydTg+~<a21`ta4`yaVEVRx;3Tr4P|OKNwP@84Gubd@6+q#Wu#;EOHd&<`8O
zIbe^GdbZaZ-lCZ0_hYPOg~D&yC(?m1v{-#63SB$QV9Ikvzj4@MJ5q0Ctg}bXrj-F}
zn_e?9H=(%sMc=ieTXEv-T@M}$a=m1)-YmoW&s=`v=7i=QZ@CWcBsO9MzxXC`;bs+G
z1b84}*)(Nl*oD_xx-V6BQK+n-atRVoW<xNNS5!sPQ^L>mz`EZk+Vjp@5c9((r1kfJ
zPVt~%R7+9@eX1>1rU}rlesL|W;bSdU_Njg!kqNVzY*05=f%e@C)2*5R-RE%Y=QaPZ
zZCWll!ybwL8IG<P#LtD_uM3gGLc*%cYnzw3&SAs)tv53rEGa{X9b9As6aIzh9?R6y
znkkKGOHn#qJrISYgVRC%PocaSF7U~2Rz!xbzD{BZU;l+Z3B0{Y<49TekL_9R0k>!R
z$Nk$6{3sEoyD=DI0LfpNh0yv*fcSL(>Q%j>s=T_K5p#d~`90MId20Nle}+ILcqD+N
zCi^UdsybAE{Z-9WaKK{#OMF7mwWGw_ed<19Vv1!dp`Y&q>Bpc%g-s!O^@(jDPVuvQ
z_5!M!(!0po$A9p7;Uq-pWi2NW`@m+xF2VWn{LbwH-^R0_aGQ-<^Q*qcjap5MU(nPN
zBVr+0MDjtXI)PjiO^}`$ipO*W#=(+A-~Et6F~+!60aZ&NpGww#kW5br?mYN?E>DNd
zZK_L?cPw{560H~R=uJE(g~g$0m{i&x{MH~2YGU6X)Psy9EA@);eNl=`$!h9h>r$}t
zA{hz}qnLL@IXtdVPzx-E0G25&_nJRRRv69@Vc&2l#<Yj92ao8sk%V;Q2OU%breFEL
z`-|=-cs@vp>gC;;xq2_`3>0H1cjM*5#5eLie>@S_Ml^$Yai&Q#7#_m)k(gdt9*0zS
z<L3|KF<ii&JDnc8FJ?OA%4FTJw}VejWA8{m$IxOkkZ!ze`Xa9yC_sr=5J$aHYHe_%
zx~sZN$9~k1WlIW{yErtD?@-&ryz}03D5UilC?ilN%}0Wpm&e_Wv_$FxqxXl^`Vxa@
zo47$G<&98wv~FN|^LXL0S=;`Te%1)2{=|0(Kl$k>h(5WI7SZEjq3<{Wb);>94!_j9
zSoRe9v^?fJoPK2h8awrNm<Fs|HSzm%_f-?v|Fi-BMvb5B@;-12q8;~6fHF4`Vnn7P
z4CeYMB<~UEyQ<{T<5)pXCb-*!7=bciiz#Q+wWAv0+ji9}o(LL9|2d)PWuWMrp?4A}
zfacZ~@!o-Ig{*}Xr|FJl#fIP`9feEc`PB)REYF;-Y3}Sh_jIrCJ}RfLZ6)#Is7>FP
z0q1C}fp+KJWmK!5<0L?LIdhcawnic4<5d+;U&pet0$1JIuvgw>`01aznAOB<CfG*0
zjXL!;5xRlxtC$zmb=}ng;|f&`40-#a2?d}qy_MaT2aaq{_YMIfsE>P$5OJ4i4NkIw
zZVpc+YGy9Vwc=KCe#$G!n~E5#q!gnP<2s&;pfy{3U*M4)SOST$*Bf>Ra8yHv2(zzg
zi`EoSG(xPy+^|2PiwS0-zb7>2a5wSp2x8S@@H!doUT^1j8c}%qX?s1+q<9%iVaJA$
z(OsY!eaSl{Mt&~m3!APrZdM<n#(XfQk@@+>-Si#Z=YK{XTz&`PT&kAHI~~Q>Jc>%M
zG4!jbnFlsc4?M_WwXLoB7#}em$tX#$?Uqk-*($jH$l#?IlH6=7zUf6OTkc0cAQz6<
zKv+ptDaBh%V7Cbf?JPX1z}{m=hA@?+dAnQ*S+iV&3)XdIUT$~3bOWDDi=gQPSoxPJ
z26d#coZ62!efz~1zs3Y~l+&Ood!GS$3pF1-36-6p#?>BAeCh&~3<V4)V6>6z>$m}6
zV@1%)%BNHtNu}^9FG!#@L5!v;WDA(0OE;B9&re&NT$ytjd<q5eYpn34BUd4T^K^c4
z7p3O6xt!xDa}~BoRxH<7t?<2yrW8mWY$y_tyQjNNgyUr~5=$iCfaL~V-)l9}tUO}t
zuI*iXuU5a{-A=`qs_bg+b~*VF*qi}_@|h&vD0Q2%AXF_|a02-_ryGAhJ213Sqdfg!
zxnB}iEU~A&CJH8v319K>en_W1fIrAVM!Z{hL$7cv>eKC@qf=yCC@_ES%WnoeNsqtb
z0|br%<EQ;iKF|&5y24b}(UIVCbt&wl6sB#l*vBP_cX>^=rO5Qs?yz4J^(*#AJv=$Q
zvx6S+K8iZgDG^MM%z?{C{lE1S4>ddQ#W#&Xkhp1_q<}g)qJ7iD0JGfRM}-vL5crhm
zvKR6haj*DzMKy9l4vB^$K%&RP1LfT$33ujbNZz`F4_^gzun!Hk*u~N+6JmPDRX?O7
zGGeq&E#V@>H*KaC)`B7>RYBDPnxHb?o|DEZ-4>o}eISxDV`?YNU)a+X@8#>+Uek5R
zJvpVq)0NS(qs@47B6p=w^?Wkz-V4Uq5C#Gm&Tott3W1~vOelV9#@+9MgeLFe#;R7Q
z`JLhAhXJ4^0xFK7IU?PWJKW)NMo04mt@WkrdkWA>20p>zz>}Y7bm$}zz&NR$F<3Xg
zv4ZO|u{U3Y5-e$rSOn;}cYPEdg~WEW?i>xg@tIf|BcZKL+r0XXr;}h2636Y~eVmFJ
zMyS+C-VhAt6itZ}F+U3sv!>r%KZRR2&>QydG-I@Bf&n9=;yqu+JPLg#>}UHg9(JBT
z*-j>e#I*@gqDd+20%?piOtCV+Y<9E^cWjGe9g9MXL=LorVl7T<1F#o=|LqUw{XJ8?
zY^`I@)}OC(iHV1(d$DrxtKzY)LE-QxtvfY6EG>cBzQu2Z<9O>DLDIy6#lG{LmyuIG
z!fQ@f&e--N`Kp(HT^m@rU84?_hu<YV;SpsJ3huP+g;N%+lj0%YY!mwI%`2iQpeces
zyn1V^N+48Mmis>mKYx7&|2Jww*F`my8T?vP_Vq~g`A{3aW%^$!@;ULZ@#Dxw<zVw}
z7vxa4q0_ndK&ycef?gV+4Se=m`)RTe-y=Fl=uAO3hG?G6_eiXB{&?ZzP3;+jE8Lb%
zE<=?h&+(>PA@7ZQzO~+W?jZ1M2^%fbeTLh$pJQ1A9|d<YrOk2y1Y=18RX5O>g|q71
zUNapPQB~7W5UEQ*I}M_UNY0k!D$I&48Z|zIQ8&{49&++TEk<S)2*W4dSQzqy9}nvw
zFYkMf`&eGwR-jJzQ}!Y-UfW%DO<%<8y<M=QUdeRb(}v|I^!U#UW11KrwZ34LFy&Pl
zk)+L@%@v6YR!PmVK&MD=#V(el^@^tF*GxhtEs_0yBmJCw+Cr2wtri8P59xYQcc?v}
z=7^Ka?OYng<LD4bpPeOb>Z9EX@k05>Hz4%mxIW-rk&!!5O|&XfC3&ueX6ZN%xy=gg
zlc`L66PI?mx3Kz95H6?KD<4Rm7PZ@;4U!B_UU{i$Z+T@Ye1=%6wHVK#*Dj77sVZ??
z7^S~U#HMvY&^j=5Pw?<EXC_a#y!gd<l3NR{4s$}RArOuW#Ao&!xKpn&UGEA9T0uz=
zqh5<ntQ~gZ^MbloQ}dw&J}K8H3DTzj*so&nr~{XEeK>2+CKmBS`o8q;DQpx)pHbPj
z_|b!FT)z6JK`SPKxQ^!Tv#W8lO6J?Kt@&m?g<|=wP<GKHP@#^Mal0+HYJYXa?S^Yr
zsdkVqV8_CL7-o2*EydR)knZW$?qp;GrQ}a*A1`Xo#A+h?d}>t2Sjfo$6rTXW0eYb?
z=LLd(FaN}AKCo4etQKK(1`6Lt8`8ucM%tvdLPtw-R{Q0i?cID&cq+2gK)gG)b_jn)
zlDRnh)c(a0k9>O5jKw_~BT-A}1+E|sL~{IvRiGBL69EsT9t)AJe}v<Uw%#jlp|R^l
z$DpzwnifKp&_I;0_C%P2?NueD7V_60a0qc5oK*CB#HY9?%unu{c62fw)-WA20v@PO
zeYyno75d#pr7LE~v^2`gvRK4YhiKY3Q>BZo7vj*-GIq4p>i)y^?lg{pryyyP!W43p
z#x)bPcy>^f-5i}Uzo6(*2!_!l`2!M$cpY3%lK)v3I|!fHBl!%$#pSXaVO$TYQWw*A
zkMT}y={{4^d+Gr~17ib1Y5r<p(qg<Iwf_Dy_;6)!JK$f~*{Kje6-nY8Mq`Y1@6|p<
zY~*x)K}7-OO)q_@M+x6RAe5joTxsQ!acseZy&KqeHAHYI9(1^AEt&=8dC2R!(0F(_
zt8_EV(zbUfDQ*4v+Su4nszbX^nei2N33k@(@je*IvNQdVTdaLF2se8?E!JOvN+28$
z^q1e)svm<p6g}24IvqQ}A_*;*7=mMW6SCSTNe2X>{UbjO%awbZsc#*->?mO*VfR1`
zVFzsjHLkVWt3)eR$KFb=+OjIe4Tw83BnHlE1j{ep=WG*i7kF%-<|Xx$e~Z7F2n8l9
zvVVgBeb*jk6LyMtabb1N%482)<=1~vFZ)+L?Y~nq`_~hJ>&l9cbX8xI`?~N%T`1y4
zzfM6%tfpyDZA+=2!azw&pJYQiS>Pc$?|~VD@5ej2M1A15YeQM({bfil?wgwV$ahig
zZJA}8Pa7GWWVrYY*;ybksqCYV*kQQe=Sl_nO=8W|NiSDyGRVY%DsGWB?u3O9CV6RT
zWX<6>L{txMy*ZyHq*XZ??HZX^5L(jhJ{4}EcisRU=Eb)H!TlWnoWk>P_TebIJ+`85
z+DOsGVx=8pjt;EQjoVuJkRl~_%j=PGc@<P{O=6IAIeV+zAZnr4-KtmTdw0~i`Ibf`
zxX@{G2P#xy|3=n-FpV(c&MpqUx9|$i69iv==E<shr<6YGfaQ%D*7gE!t!ZZFj!G{Q
zuj5QyW06B7nre9jCO#Zcq!;&iXJOT_BBVb#^NI;-r;xB~Nxc@c9-%5e!Bw8_eCGEH
z`K(oYDzAAODTOIu>>I`*eyr0CztpEm602_O0=dki*FRx-*X{^=Kp9Nnm+>0yqds|d
zlU;>Ih1KPZN^)<mMY?x!l1Oa|*IA1SN3Jun!cNd+0y}N`bvsWf^6IXoJHE&c6M!Od
z3^*FH{GAOS6O6U|yvRJNU`R?+S3N<J@SR%?!d7^9mv31h$M$#*w{&;;pa0o5>!?<l
zJ9qc=uE^fPqvhr38z2+?&FEY_%hsnYVPx!cNkgemAR<#eFt~nO<Wkc;hK7mdn~Y30
z(QMe$*%Ln~qSe`TGnGiK&aUt0Rc@;bQxhrRXcMDo{&bQ1n?1jzMP5lusYr94Ryj;;
zxDJ%PVF~lK_m3@Ki`JmJrO<7G8oO5&9llp`vcw2ZVS3@&`L(o?wnU$D*g_Sb2<dBo
z_>l-FPTfE#cQ;18|8f`ALDPZC8AiPVmoZjhS*<EIvkTW}5}KeW|LykwlzIL0GvM#m
zYC>-Cmn+ERWD(2>!_II+w+3?GA1z*XS1oDmFO|nYD@@Tbs-lEaePEdKM3=PBp{de(
z=fa%^Gla>&CMfB(6)(gnZTIw1zG3;M6loyV(@Ma}w~H|vkL3D3miDUlX85{dQ>v>h
zi7lU;R+(3W45MQ=gTLfYED$lKIhDZyPqBw9qv1(2q=3rqLOnSZEA>}9%`_P`7@ffV
z)Ry8ZbkDHQ(#>Jbez=B<x%xwR43eClHbEO=T<^g<eivD2>ZW;mxFl1ML*t3aaUbIS
zDUz`u0D5A~tiO!G1QvC8*t1{lGn08i42~{oh^80_T;%#b$GsJ#cbsJ&6Z*Gr>tbER
z9G4#oIM0a*ZA{<{YaRQdx!08vhfdg!?+X}QLKklNb^6=FyNG~Nv)2w{4?)a$h}o4M
zvBmg8o}+#2Bt?I2CesKAv2p8kZgAyJUWV-M)>Al|m<v&Px<$oND7%2ql5m`I8fS(v
zv61-Q_`%XxkApr5cWXn(VEXTiA8D^Tm(Jp8523KgQy(qD!#Pm>BKI=-)bP;F`8B8V
zA;Mx@)9yujfVZehT%Lp4YS7zA^?avke~ydYink%xJWixvHO1CUpDtp_D_S82JXA-S
zORPfT9<e-UU&QmwG5e6jVD)FI?c{{FcQGt#XEkxrRu1@X7p0ke1Oe~$EvsO7HXR4f
zpl86zft$a49glVidlhwlBIGQ*=2n$tK3z#<A&frntT7Sul&aRv{_eD|9=+4CrKlt*
zw}4I)L@WV2+@&x@U3s~io@>6DF2*BQTMr-UGRz+2dov)!EWK$9uVG&r?j^Lvkc#d;
zKP0NHrZiTfc?mhghcFCPd?Dr#0jdBhLp1=A`T??yV{*ic(R(ZoR~$ca{vNTZw2f4?
zGKlDLEkR9ys}CmLVf`vCuLhi!lV#q!sCb2T->cXouyDUF<1k`xiJPR?aqMGug~^#^
z1*6&i8q~P+W8SFkYIEa{0xBeKd74RK6Y5_JyJkaPWF>>PB$D{hyC~Un<vlkDe5GlA
zfT)i>tt-sxRBdR>cQDGaqxoIyG6~uL{a>xH{*#2m|85!Ke|jLS2-TRr|06f)IT^KO
z9>ZmRILA4)!r(iCYeglgVqF<AC`hVHAwH?L$Q3-iej&*LU$~2S2Q-{BGRUKjCh(wV
zmfms7`)99E1UWgsM9*|34s(FcOYu_?D1HwsrjQWmK|!rgRiU2Me%FeyS<s#z>6$^L
zb9k9GcE(@4=;E_^Mix`0=w>RsSDbC1Kc=fRx}da%j<rZ9o8RQkCa9IiD$S5|QXP^m
z5L-n3ZS6}G&Vb9U2XQ7PpNP9Y^R<Jz<oWsKdxV$AuQdIBC2T?o^U=!zmtE+!L`itK
z`&tp3jb9nvH;#VJeD6hqSs6TID<qT;Hj^D^gnf{{_k5vM<91bf^4-X3P^-p?nG{j|
zsc#k?Z3}8uIr(w##g^s-E~URK_yHdGN>z{axiF6`E;XlP*jOhb%ce-v2sm0A^w6AY
zqn<BRuL9Q->&cyJ(Rw>05|dt5h45{Eh%NGNUg>GaFYk4#y3TZ9RRgal*4_|$ty4wq
z53f@s;`tII0;VMuU=%%qZy(I6*4N3mTE8V<u~Y|I$S>R$$DA%Far%Djo0%znQ#Tq@
z2dxPV_0RNtjYeuBS-tn^?@#2?>KwFNr;B9mbd#_Z6uqFn`TbE<6+(MQfqGKx-I`QC
z;z@P8oV4lq&GwWe>V=SW`7{Qr|K7nBQkcVudFmniXD*ACK!>A*H14o=&u`)rMkX*A
zRA9?rTtB(b08S-J_)Mqnfx+K@EZGz<|C}<i^lAQ=jLMGR|2d8R#k=g^Eyw!b&Lcb1
zIo!QB>AOMr9aN3)K}c*%lOyO4kA{4}o<UDT3VO@{a})D&6}V1N6XKI8g>^M!!uD1s
z@l2L43*8;rTKxQ(QsRrXlS$*T3zdkx5>$=z=y*tAUi453)zb}?IMY`>I4w-1l!XL+
zPccB^9DM?JK3+MMG=x~{nqGDhI<iBCN8&FpPYN67mttfDp-TBUCwln+*}fw#r}e_F
zQv>Itt*a8tnw~H<GqA74Ah~PkLL5@0*X3}*f6;;Y?t<Epg*VESCx^---(mS5>Q$6Q
zI#`rsW6jaqO8R7zBNi0a0QzHiO#ht+UT%l4w~RS?mL2svF;2zCv(XwBF|P|xvR>9!
zq+Jl*Ws*yCQB&s_V~@tC?zS2gR#t?`nKcI#2S6d8B0!JNa@E3VWxkoCZaHG+r;s`1
zbFX&h!B2hc@t%{Rb8fL$y;$%qf&QJfYr2X~A719R#YlwEpEKZTR~r~rbn0l=KWKUd
zjcCN$)7jd;@x14{|2#(i?-q9a@8dd)9R4uw1FZ+AVL*rX3NiT|PiWg#Uz9@+v(#Y7
z$a3q>SdPOI6upunTcNz63DVaV$%27=2U=n+)zJ_<j0pQ>u$43L0w}#JQf4`HU~0fl
z5$;FQpFx(T4j<j8MI~CJcSt`~1cYK)8UfBbxeo``J@}EcgA}OZK@Tcn`E=Zzuc|sM
zR-KqD+qCR@`x~jPZ<P@SmHz}`4}3FM0^0fc6Sk$%j=0`3kLPX3Magvjut6kFLm_!U
zMDx$S;T2q8F(QF?>s^QH$=GOYHsi2lW)Ek3IM+AOS2Yv^DK?%pSW7{k*NMF4>MVNI
zL%Xt(j9b@|c{@7~q$v^w1D%hM^{pOBQ?F4VGhj#H#AwnZN~_b&S@n!ZN5<EYA5d%>
zRAxu?2Q-2wt9H_AKAALe28?k<H$C&0jz?%g+J|RF&dwj17j1eGJ!-9BQAJe+#g~5d
z=9L!?yIT!Jdf(jFwso6R_IZKx<oju-3{lUAZR#cpwP!HZonj1&9P%3Ro%BY$;ZFEO
zB-AD8R*(cZNnY_n_fGW+J>YuDS5`Mcyl)}>-rq=p{`pv;%)ha~`_Dg)B0CvFzx(4N
zC!?b`WFhU^h`eAOw9eB_JFZz6ph0*Aj-<rNsn!l_Q`$A^mlGh>))u|$DPFlj8Tfj4
z75OOS*fpAe=g)mB1Izn)0|wY#`QD^^y=5_aj<*L?hLw)I6nTa2GQQImg>>jGJF|DD
z<3b_y@CQ2Bg{xXunLUU<kDaoR!i;ZYByq*6-B9s(X$#}V0JznPmS*E(N9~IoGrrr=
zSy%a<_`{)03+#}Pd+7p0_SYd<Wa7)0RfuVPLNJG7+k4cfq@2O?3a*2mWvO;NYi68Y
z8sY_&;Q1;eR~-9sC#a3z-V<%+Tj6pG#bzb#)rG`*NTSb9%?eEXY0~O{Rr1|IP3>K~
zB8mzM77zs#4^4{55eP^#;GqTtf+RpfIU=Ye1_bE>QBhPBP^yCTP6#<5p@o126bO-;
z011#oRa)o-2#I&|&Ut6vd+&Vre%~LN%<RnU?EPDN{q|bVdY*@R)ePp55z>KoH^|vJ
zx@?LneK2kW_qH43dNuF3JxGXYIy988HmaSb&YQ`c`n9Kf?qKH`iQ$>RIjS(V3H_x0
z-IZBf7;tCtPUssK@wlp1jAWV^2iPQ^;};H$@zaXSw%`-|ErNaTTE+u!=wI+y2fZ>|
z<xky>7g8zH?c8?R&2$o>D$KgKg4z0JCB4$nLqlRf__hS(DR4vINUg#E1u7Q8$)b&2
z5lo^iUv|LKO~0%VLX6aY24s(&J!vp;GFF*jGx7hEbN%P<;QztE=AXv}9oc6rn+_;m
z$P~MYIH6YXRD2dN4aX|@@s*nNV`!sIuXu%^!A7g)5ExfW=%sbMnxZ@~4hCq+(*(&{
zB4qP@#8z3`_OQ5~k15s7AOag)b-QPYx-w9}bXIs=VV&paL2@m2b(vTmY_R%(@%d7~
z=2G0AFx=^2b<E7RPw-aLf>8fZE8-{LIs&&cP#3EDb>v-$vKuk;cAhU^YSGZ3z|dil
zFO~eLJ?qiULWJ*U<%**3Ly}Js`Nf}Bc2ejF#27mKp5A#)q@@$y*F*@BNFP*06@*rl
z1%5woe<$ubyZ?HY6n^0{_3ASFz-aZP($|xjSl*io1S^{)z2FBBh~Bn&AJ&)Jx_v!C
zn6@ywZ$J{>bMsLKXCs<|<)z^IC~5)x`PEfn?43pBf-@>;hT&iTvH$)%@&2oC!T$kX
zyL%3S_o69d*=Me(yX;(8%I^}qkp4Z#5T}e~f>(N)2W^WQ>|S8S4Z%xYW*7@6e?>~d
zFj6gQmjpiK#4FoLTTXbfV=)2fZ8j5H?!WWBm?50c{&I|4N#Lru-!hOXZT$*9_Vdr*
zee<WWhv45;d|L)WG*2tl`DvQ_jfY*~!hSA{sD;>64*9_ueZ5VV+s;RNYOIyMR<K3H
zy}86zA37hXyMbDOR!v)#!@amI8#1=WofXDw+4PMltSq~yY@GRWd$ic1=<72!J-NHS
z11=RNT!&x>l0lxZ5^b*U`Vhmoqz*MO^m@)RwS#hdm`m$pd}+OnJd#&~556gY3pE}q
zwXc`L@Kw9xab~q-BtA?ODmH=wXz_uxJ`SSvjR{d+ctcE66Or2kQo{@J{4N056v#h`
z=xay_7_Z`YEx4{uzpBskX{Vlbkv0C=u#t^tZq+0_<12u}(1B;QJhYfE@CC@{r*MR2
z6{dS(-e%?bm4zR#%keuJs~P|+oG&Kb#co^nKV^F@!7{J(Q*h!Aeud~tF#T^QB>2B4
z{kDA!m_v1DI1-~5iJq?L-kOM~fEog4|7T$Du!%7H-Dd*%Pq)zY&pLPTt6JPh#&kB7
ze0b$jIpM?Iv}xRi!m6z3j{k#^``@<l3+&)lxmMxYrIwfOX5M*WiII%$go$U*TA~ys
z{RxyXsb+rL`j3X-$1kPo5u0}dl2Mem+r#^SJ^DmSZQofVqL%Y+!Xd3qJxDIp+eBQ}
zH}9^?!%MF7Q1^FZLx#WhylGnZms(F^v~N6rdN<T_Rr5~=la2>w#Ms|i4xk)2mbz;X
zK%SH$`;v>72_yKK_qGv5`wJc*0TJ^4EtF!-A*VlU77-tx*;h(M5c5$a)Tyx{rbMov
ztX{>V$RvleDZaT+FN5?84_s&|(vPSw?IS`ubjBYUe+wEFBU?<tvy(WreTd<O(kb1I
zm^-e$8Q@D%klLvS@X<K$4btSxO{X8I-lqm_Ux{ebwSzgl79Tzp5*H-4-8`z1i|Y_#
zyl8Txty?a+K1I^LbxEsi-@+?YwsTH_ZtFr`<e6jU0XvnFNzt3A*!K8w*p{v@ATKJ8
zpGz3M$SS;e_2rtQkDL|fn$`c)A?Lt<iP@xgmXR_F?J?#wfI2k6r|!Aa>nrhm`#qkI
z-vj(nX}iC_CVx4Bi$f?2d{AG5X1-XJ%Hj0>I4!a!k-6GagG<ixv}jJo9#e;%ogPc6
z)k7s=^h++@+Pe0epJs;Y0)tozW2i5{zRQ^=+zoP=W=@ZyohX><#q-qo*Ik#ESuxl#
zx$fF;XXi+=qv!Za9utTq%e7y7lrK633=C#@q+%HamF426O`Qv6gUTxk08s%4usIox
zhF$xq+_tPDw--~q;RLCp7Q`k*Yh543m(dIg#^0LTk;8#1X18Wv8#UeUAjWAMeUR6n
zx(5|&GlJ&+sNKZPh-8Ai9wjY;LYtol7FRZ`rr3>Ez~j>|tY-_e6#n{}(S%x?d{T{t
zED?m-;%^SQ^X@h`AZ9<muPcjM_GsHEzMw=1bEnBM+ugQhreKinni*)hnQE_+boxVW
zCw8yzmJjR-A_3!SlcRr_J>mp@*emx$=6b@2c5a=Vez^H7l?+u!z66`4ia%d}LTYJw
zWrxZE&^-4?xiisrH3rRe%Bo&jx_NB(?+qlt|7J&?OYD2fbe|SGLRqw2sg$TE55|3?
z#>U$|E>NY(rm{u|=I6EK^1ZF6YB_gSnDi33+I+sZ^9qw&9fsjCB0j5aL0F$vq2#DJ
zOsQe<df~CU(z^0<=`b#(q0pr^a!PHz2*Wfpo{;OU%6g_fOZ~VG81fJdYQ-R(6`nka
zQ*V&$^u))H|Buc=?EeNMsEz##chfj=scYf_h0achPN-fi>o_1|ed44Sf_HO|c)_h+
zlaM(!Uh{Ns7}cV#j<of|FO8ee?wjD^SNfraND;eaA>|42zl~I3337!n$PLe?zH2xn
zN<~s!bW)vj%>=G01UYo`WMP~?RNdJ<d9MOrs#11j$i{IPf0fYLWnz=<J7%wauwxmL
zoA1r&z{cV=MoLO9*{lGn4x@60HD1pql@<1E*~0a}5N@WtDwEcM%95-k-KwkgPzvTU
zqvo7m#8R&G+uc6&c7<DIXjT54+pO;Ie!e$#`lPu>I=P8s(oi+B@%B4wENCmW{^f|?
z?YJsZdL!bk`}O{Ockr>l!}m62hu184Sj?zRBQ?0hN&T$YCAY#3iw}OIgj-7_h18Ch
zoWy+L_)hETgi9gwO|)~5sD9;!5uX#0nEaq%u2yHM)_b*@RM1x0<Z@JsM76tDGn*dO
zsmJRxxyeWtNOG!)z{Ad(!tz=~VG!wCjJrqOM{BpW&C<Bk6?{;7NK7hdBx>|N_WmZi
zEbfrwrOZ1mQ}}t`MGxLFF)o#ZuIba3ejqjq6ovpx9w;Nd@sn|$Zf{Cp{Mo)$_e>cX
z&#-m><FChBe~%Sty+Vq|Jo%WvHz`QEM4lm9bSxH<`0z=~KS#vw=mXD1p4Mo7saSY?
z^kugA6sDS?EN~jyJmd$pwFu&}K#Jm`$1mX2c%%Kt9IHMq@>PlAS)SWcopjB5kT}%D
z<R6!>1OGdWFbSgCt5SSKo-$YJ*I1^%-8<JGM1R8={qkspjD8;+d=r2|?8JR!j$E9@
zyuxUmMl{?Ib?|krdBh-&MWgypX3sHHhfHdNd=@M>yafC?sE$^<cm?g*Hr${uBS_p{
zQuyHb`{q#lkvm$-{XvRKJtq05ZQYYeX3A%i_nKDfF7>aU?Fgt~2z|j);oz7u%vM>@
zoQeE~<AZBgVh^`{*pdC>qN^{O5_~#cLp@_NX$ntGzFS^wtGOAM>%cnn1Cj7$?m<eY
zt_Oz!&D*rL@8!r_$x!&z@GD=g;%~0&-!{EOyK*9xdj#l94$Rr;3}8b#)ZL;O;k=H7
zQd1A)n;*SDx1Tfz3))pKP3MS&l~wW(<U?ZM;Kz;qkyqum=j&|)z+#aseGl$*MQg##
zQtfsQl{bNWxAz_L>MKu++Sjcx{;_Juwd;qdemB9-A<B7=ThI8ceWGWZoB#^-=yU&+
zjRK^S5p#x4H=6xysn3uQj!+gg9y0Gx&e0R}zLX{-^;*WhLs{~((|M(w<Jx}p{8?JI
z+GtDywgc6A`Xnv-$d^L>l3XsBvIDwzhT<$0|Icav!=o~82xhHomUEa4;mo&BedE{I
zkrw#0P}WPO2WKFyv}XDTpg$$LHFCf{<S^!D(@*~FKxQZ_kdxYmTP1W7nOB8u*huU~
zfGK{}dWF7?R5+$eSW*vYfORp(iFN#wZWOn6`yMRO$q}lzaK&yjgK`2ZtmXuD_5Ofa
zHYoeGM;yk`gli4gz2ZyBW4^|0oh<vz(knfk!<*Fy)ZVmUfZ<`BsF<)Q1)sAw9hA_D
zWC$de<i#F1C$m=S2_;RJl=ZIV=!*ikrm!pXeq#W=8eB|(?D5@>lvbgboD`tH$2H^^
z`)VId@yvy(s#E7|;Zgk$t8q2&!yS?7aa4OjdQ6co3bB8~O63{;%G>a6i~w*Zk+b>^
zAmtg${!{(ZKpOmO4r669V|JiW=t+>Gg@e8Fu^uz=Grs}9?bYa1Mf^Eum-F2#NKw3V
z)#Uew5+n3fSyJ^n0%K}r?t&G{jXiO($5I8Ybq}~u!GGFy0Wru&I$MVsnSz|o09@Pf
z)8{TCW5>Me(ahR9zHCD?o7VHJ(dO06hP>Lq``Hkz&%odOxgDI_1}We*!vMh8-F-?T
zl4dxOwGp%#<ByAh&h*}}z>O`qMwU9Oh4|Bdhf-5FHwX;yF{R%)_$Ce)0{HciM9fEy
zH@i_FfBJ`@Cqt{mw$ak+A;9MIXjz(<(IVycjf+HgJMr8CY-(Z?Bl}$FR4yIIk)2Ji
zEYApBv=y{4Zw@MZ6}JNGUvR8Y`K=|;NEPmvQYL~OFIC{?y)hLR4Tn0k_IDd3mK6c{
zoWMza9C9+&Z>g_jw{JN*HD_BgL!n1&q5}FP3ytnbNt@|~_mv#Io`%<t?cBTjGAp#J
zhmckJ_jKzO7~N?v$e|zo3u-2a-=82T{-oOug*l*I0L;Gj{TqE3Wtyu5D7WP>hhp}h
z67Tjm(aSN)k*&9E4o+!;TIx#)&d2km{^)i9CaAJsj3eLle^yc9R|}tz_f76<ERVa&
zn|+X3eGr4YN8vGQUB+sf*15!7m&{#*!+#qX3JSWDRxpMoOit2HK94nC5g?nYkv4_M
zh9xb8<K%dQl7ON`!aiv#-wAW@bmznlQithn^J@<t^&?e`I8*+TlZT<e8y%TXJak7A
zOMl+~wWo+!ogI|gkb6SDw_0aadoV9;dJBEs{MIWgFV@PJDGv@drfO}lsdLn6iQcEg
zY-#WS=uRX*UTS4_i&on509(GY!DB2-0}z1=DFG4Xf<Es2;npAqXci1Jk$?k5#WuCM
zC(Vxoub*~-Pw=ig8F{j1?yBXJe(iy?AX9gn+)U{2b&u<>&%rK&V~RZhbSpf!fiIPq
zUwPPVwm;L%@#P|{YDm1pRJoo@(+0QN6GkOG!6Zw+8~y*W`ul<C`B3N&72T7GQo*Il
zS~6rG+8Mp5rJQ5HOT=Z@|4Kk}tr!;mE^1+q(h<eWXMMyFM{XFr0G8K9(E=i>vUckG
zzCfs%&~7sAF1p~7^2dS^^VuWh97bY(sj}SuTQjEMfRvfvzAe$nv6B~i%p~^87uAjw
zX-8vpgB<>NWtxD$0=erERp?jO-|`1s4%5C?meb#+19&Q$QuF1efa^%c?l#!vysL}z
z!2!eA;{@47_)~xPb9Fv!&%Znxnt^<pCpywTc2&U#duuzXoHFt}-vKtcB}er{Vd@d2
znfd!4;s!Q;w*Y0mHX^P$iEvPEw~Twf@mJ`tx_zDJEN$)?UF<qx{z3hY#K;N4a^&pC
zZYEC}jXe^`#MZlf&xybNP2|U>Cx9ajRp6`vApKNr<ig8edvXTU#<8QJ!3*Gqa$>)a
zA3s`>yL*@(;64+1b&-d3lJ(*Sxu{h%aN_{RN1dhOP&t-trtfL6#?34H&Wtl`C!!it
z-sRtr9R*>yGzpyXw!^+}7?3KDaT9b+b|j}r#5OPX;0<7DZvlC;|LH#wlgTWD#2Gjy
zpN>a_*HWR^Qy(XtF|#n+mk5RS7@t&G?w3%!wT}V`zYeRto&XUp(gbpIaCeslf}*M~
z>H|#2Om^e-uaARckmCN2MZ6i$Ma#9#ra5@DV!@j<KkbaN#sr7ge``fem!g0NSi;Kj
zP+}_$1?R>=MRB&bwh$>#<kk!Pvh*P;>5?}wZAT8^O++vkh<bCb^W8vmypalv(Mh#y
z$X9A)_hgNSEh=z(Yi57$SO?s!I$0KlPGtf}S-CaLa-8X=ea^Ifk{eT>(XLk!AH0RA
zM;32&(5EeqRMe(TftT17&k5{&z(F&6c`ttq$;G?v&t6;`1drek8MsOFjT&hc=?t?(
zjkHC$*t0aAbO$Ou=z&N!2uma1f+mfduW0kGjx>`RNYY}PYjzxXovbvK|F~9!;}#4G
zNtIome+fvbjMYYJ*#!hctpysLyqC)+hhZkO-~|Le4K4OW%oaXc4T3&)>rsbvxjc|}
z=%A&{I1UuL*wS8WLbAXls6ai+d0;B1SAL)nsNb}9WA?9dpjZQe(F^b1hwDvE7lOaC
zztO4xzM7%iedn2PevpW54zMBGx>p~LDP-9&e5y~UO4Pt&33e=(ht-bB_UP{xz<Hb(
z#|qD=fMenxN6S|0#3sfboRkMP<a3EYSi5(_ikIvAA{Q%NXg-4K{#!4-^aC4}6lspL
zkrrD7lK5cCDS}*@e~|_Raj0HVoK|dqH-^W`rdLbU3U~2UEAO&Y?AY}CGA=-8+t7cp
ziB)Qy@b28!e#o=*w!ZOu85xVZRHSt;Sqh!1Br|25`GUk_Oiemwhoo_E`B`?XyA|d?
zsDF`soTlTN)?LmU5Hz;IROHz+SS>qK{*=S=@xsw8s^lmxN|-lQ(?vEu`?7fYs1AK5
z&KJ`G@?>6Y#b=lw#>Y}$t$3WSuAyrp+E+2&emmi0cPcQXI^oAbck-18X<k6QQqn>I
z@aCB(;64M4B1u+H4lXh|*W9hcnFL)d(H#d&@=FP4`=vQw%N}ZV&)?c|Aik*u1*8XZ
zCnTCh7Vt_al%gwN|GRmshdZ&|=u>J^;T8QSU<qw(V1K+q^>uir@!Q=M+g(%@3O&Q#
zE+DmMt16O3y6zBBIsJMJ@OYWAH~g6$GF`5Pzsg6E!Z4E5F3QS4mTLs0=Yn5qFZ#{7
zU`!|Y86bn$fn!fSs5H8u19c#LIWa(=lFF3!tMH_+jLw4fd;PV2Nohx%7AibCc`PdQ
z55vZKubapN9ex^+)G`aTs@|<<y<}E-%f#db-(2^cRfqRg(1mfk->#Uc?hMl~?bp>5
zJq)ATBMRP~Di}`-k)gS;9RzsOYbBYMUk!WDC)$u3-s4Hc`|7w303hjo+we24$@|DI
zn4iu2@Qi;me-;K#o^4n*_wOx5jJ5`l@=*;!=%y5B>U~p6BI{@})C_fLqEOx;9^e-|
z`P!dy#>(V(VO4!7J=)h~?QF7rxV@LDIf@k7=RgvGvB(G|1?e&XLIk2*DuNj=dyszV
zQRUV3qP{e|oW)}CV#!YrvhnfjX@xokIVDdIwt9)OT37n8F$s-$V>T9OeLp<bwIe%8
zPKmb_n3qcFxD)43zePM5g|h62Rb4;vdDlvTX+~MHO@<Es{yQ1-+zU0=)JYLN6adAi
zvmQk`qtCZcs!oe>LB)TchK_srHO3(XW~IZnP*mJlO`im6KZZa?UwR+XQpcH*#+7tW
zt_HTra@(D=jH0`icB%kn0{+_H+-$IEHP)FPb5w_Dw=ReYW#{33I91HX@#E3of^>!e
zdCEp<w^D9%QCGEk&^_zA$k|o0=8wqWngBn<aKml86TWW5VExwGG>nhDFXBh3O|XWd
zjr3G2JdTgZs;A1?$&P^3EhI-um3Lc)N4uqvu>L^SW*)ZMdUEknxiF>K02YN<Qv{O$
z*W_uy@gg+!RFDV}{YYlXprSqGf`>d-BBEB@)7$oy=Yt{96O4X6yHlGp<27h&E5k03
z&WDmM+-JOYB-W$<q`J<bg3KoPL2xwSYeR5Nf>bVp2lHy&0M^o~6b!?J^7*qI))C}P
z`jNz$ZLhPg_af^3#)1D`4F}2m=!i-}UWyk@Q$NLRaTi=dZ~AuVlIp{Lc)5Kd=`IiC
znRC&niI<@vA5;OpJnlkh_O)#65PRRN>`?W{i;^cG$&r1lJ2q<Y<TA?zuX=BU=P=tN
zz5Y3ogq~tz&c7q4guvQBYQdR!`5WXACyZfNy2r6kh6+tRjpcQ@w<`P`>7KpwS!^2~
zE5&J13tEh-baig&t16$5{hq^S&<a+iB8D43$tcu^#b+!SoJ=(UdU~;q$GoqoEET%r
z7D{FM%{0f$f<|4eZcb|e4b$3d$~s0d^B%V|3z*gPc}asP8=4WEvak^+?#$XzYN#Ym
z!LQ7OhMH?~V&e>~8ax`CSRl_4JHNXMa4)A{d(ew8wYNki7da9vh9R`&cDhy*Ai^{+
zIz0`I{u-ql?Vyv|;2KxdL9LmY7^%mS_|%A};Tu<?1s`o>&D#|OlCSCddZdz%GXgVp
z)gvflZf+4IuPh4}<P?S#O#Wd~4|l=z?{tuGGnbKC$y4)_VMBBwZT^Ykyf@(v10&g&
zt;{SS`rQ`iQWV8M-#0n>a9bGw&5!IqY6TUN%VGuR;SaaFlzq@58#OJM*dA4>q|o0q
sh0All=GZm)bOrQ)fcoK1sip$(^4J6PTHaPbJ|dpZ{9%tA{5ABy06b-z#Q*>R

literal 0
HcmV?d00001


From c5b186bd6091b2c6352c96bc60f298f9454f1774 Mon Sep 17 00:00:00 2001
From: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
Date: Thu, 7 Dec 2023 17:18:00 -0800
Subject: [PATCH 19/34] Update 2023-12-07-semantic-options-benchmarks.md

Signed-off-by: Sean Zheng <51798415+sean-zheng-amazon@users.noreply.github.com>
---
 _posts/2023-12-07-semantic-options-benchmarks.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/_posts/2023-12-07-semantic-options-benchmarks.md b/_posts/2023-12-07-semantic-options-benchmarks.md
index 77bfe0bab1..522f15eff0 100644
--- a/_posts/2023-12-07-semantic-options-benchmarks.md
+++ b/_posts/2023-12-07-semantic-options-benchmarks.md
@@ -2,9 +2,9 @@
 layout: post
 title:  "Semantic Search with OpenSearch: Architecture options and Benchmarks"
 authors:
- - sean-zheng-amazon
- - zane-neo
- - ylwu-amzn
+ - seanzheng
+ - zanniu
+ - ylwu
 date: 2023-12-07
 categories:
  - technical-post

From f201f17c06984ae9f940ecda185136d7ccc9385d Mon Sep 17 00:00:00 2001
From: Fanit Kolchina <kolchfa@amazon.com>
Date: Thu, 7 Dec 2023 22:05:15 -0500
Subject: [PATCH 20/34] Doc rewrites

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
---
 ...-retrieval-with-spade-semantic-encoders.md | 446 ----------------
 ...retrieval-with-sparse-semantic-encoders.md | 483 ++++++++++++++++++
 2 files changed, 483 insertions(+), 446 deletions(-)
 delete mode 100644 _posts/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders.md
 create mode 100644 _posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders.md
deleted file mode 100644
index eebb582491..0000000000
--- a/_posts/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders.md
+++ /dev/null
@@ -1,446 +0,0 @@
----
-layout: post
-title:  Improving document retrieval with sparse semantic encoders
-authors:
-  - zhichaog
-  - xinyual
-  - dagney
-  - yych
-date: 2023-12-05 01:00:00 -0700
-categories:
-    - technical-posts
-meta_keywords: search relevance, neural sparse search, semantic search, semantic search with sparse encoders
-meta_description: Learn how the neural sparse framework in OpenSearch 2.11 can help you improve search relevance and optimize semantic searches with sparse encoders using just a few APIs.
-has_science_table: true
----
-
-In our previous [blog post](https://opensearch.org/blog/semantic-science-benchmarks), one finding shared was that zero-shot semantic search based on dense encoders will have challenges when being applied to scenarios with an unfamiliar corpus. This was highlighted with the [BEIR](https://github.com/beir-cellar/beir) benchmark, which consists of diverse retrieval tasks, in order to evaluate the “transferability” of a pretrained embedding model to unseen datasets.
-
-In this blog post, we will present Neural Sparse, our sparse semantic retrieval framework that is now the top-performing search method on the latest BEIR benchmark. You will learn about semantic search with sparse encoders as well as how to implement this method in OpenSearch with just a few API calls.
-
-## Sparse Encoder is now a better choice
-When using transformer-based encoders (e.g. BERT) in traditional dense text embedding, the output of each position in the response layer is translated into a vector, projecting the text into a semantic vector space where distance correlates to similarity in meaning. Neural sparse conducts the process in a novel way that makes the encoder “vote” for the most representative BERT tokens. The vocabulary being adopted (WordPiece) contains most daily used words and also various suffixes, including tense suffixes (for example, `-ed`, `-ing`,) and common word roots (for example, `-ate`, `-ion`). The vocabulary itself spans into a semantic space where all the documents can be regarded as sparse vectors.
-
-<table style="border:none">
-  <tr>
-    <td style="border:none">
-        <img src="/assets/media/blog-images/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders/embedding.png" />
-    </td>
-    <td style="border:none">
-        <img src="/assets/media/blog-images/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders/expand.png" />
-    </td>
-  </tr>
-  <tr>
-    <td colspan="2" style="border:none">
-        Figure 1: <b>Left:</b> words encoded in the dense vector sparse. <b>Right</b>: A typical result of sparse encoding.
-    </td>
-  </tr>
-</table>
-
-Searching with dense embedding presents challenges when facing “unfamiliar” content. In this case, the encoder will produce unpredictable embeddings, leading to bad relevance. That is also why in some BEIR datasets that contain strong domain knowledge, BM25 performs best. In these cases, sparse encoders will try to degenerate themselves into keyword-based matching, protecting the search result to be no worse than BM25. A relevance comparison is provided in **Table I**.
-
-In dense encoding, documents are usually represented as high-dimensional vectors; therefore, k-NN indexes need to be adopted in similarity search. On the contrary, the sparse encoding results are more similar to “term vectors” used by keyword-based matching; therefore, native Lucene indexes can be leveraged. Compared to k-NN indexes, sparse embeddings has the following advantages, leading to reduced costs: 1) Much smaller index size, 2) Reduced runtime RAM cost, and 3) Lower computation cost. The quantized comparison can be found in **Table II**.
-
-### Try extreme efficiency with document-only encoders
-There are two modes supported by Neural Sparse: 1) with bi-encoders and 2) with document-only encoders. Bi-encoder mode is outlined above, while in document-only mode search queries are tokenized instead of being passed to deep encoders. In this mode, the document encoders are trained to learn more synonym association in order to increase the recall. And by eliminating the online inference phase, computational resources can be saved and latency can also be reduced significantly. We can observe this in **Table II** by comparing “Neural Sparse Doc-only” with other solutions.
-
-## Neural Sparse Search outperforms in Benchmarking
-
-We have conducted benchmarking using a cluster containing 3 r5.8xlarge data nodes and 1 r5.12xlarge leader&ml node. First, all the evaluated methods are compared in terms of NCDG@10. We also compare the runtime speed of each method as well as the resource cost.
-
-Key takeaways:
-
-* Both bi-encoder and document-only mode generate the highest relevance on the BEIR benchmark, along with the Amazon ESCI dataset.
-* Without online inference, the search latency of document-only mode is comparable to BM25.
-* Neural sparse search have much smaller index size than dense encoding. A document-only encoder generates an index with 10.4% of dense encoding’s index size, while the number for a bi-encoder is 7.2%.
-* Dense encoding adopts k-NN retrieval and will have a 7.9% increase in RAM cost when search traffic received. Neural sparse search is based on native Lucene, and the RAM cost will not increase in runtime.
-
-
-The detailed results are presented in the following tables.
-
-<center><b>Table I.</b> Relevance comparison on <b>BEIR</b><sup>*</sup> benchmark and Amazon ESCI, in the term of both NDCG@10 and the rank.</center>
-
-<table>
-    <tr style="text\-align:center;">
-        <td></td>
-        <td colspan="2">BM25</td>
-        <td colspan="2">Dense(with TAS-B model)</td>
-        <td colspan="2">Hybrid(Dense + BM25)</td>
-        <td colspan="2">Neural Sparse Search bi-encoder</td>
-        <td colspan="2">Neural Sparse Search doc-only</td>
-    </tr>
-    <tr>
-        <td><b>Dataset</b></td>
-        <td><b>NDCG</b></td>
-        <td><b>Rank</b></td>
-        <td><b>NDCG</b></td>
-        <td><b>Rank</b></td>
-        <td><b>NDCG</b></td>
-        <td><b>Rank</b></td>
-        <td><b>NDCG</b></td>
-        <td><b>Rank</b></td>
-        <td><b>NDCG</b></td>
-        <td><b>Rank</b></td>
-    </tr>
-    <tr>
-        <td>Trec Covid</td>
-        <td>0.688</td>
-        <td>4</td>
-        <td>0.481</td>
-        <td>5</td>
-        <td>0.698</td>
-        <td>3</td>
-        <td>0.771</td>
-        <td>1</td>
-        <td>0.707</td>
-        <td>2</td>
-    </tr>
-    <tr>
-        <td>NFCorpus</td>
-        <td>0.327</td>
-        <td>4</td>
-        <td>0.319</td>
-        <td>5</td>
-        <td>0.335</td>
-        <td>3</td>
-        <td>0.36</td>
-        <td>1</td>
-        <td>0.352</td>
-        <td>2</td>
-    </tr>
-    <tr>
-        <td>NQ</td>
-        <td>0.326</td>
-        <td>5</td>
-        <td>0.463</td>
-        <td>3</td>
-        <td>0.418</td>
-        <td>4</td>
-        <td>0.553</td>
-        <td>1</td>
-        <td>0.521</td>
-        <td>2</td>
-    </tr>
-    <tr>
-        <td>HotpotQA</td>
-        <td>0.602</td>
-        <td>4</td>
-        <td>0.579</td>
-        <td>5</td>
-        <td>0.636</td>
-        <td>3</td>
-        <td>0.697</td>
-        <td>1</td>
-        <td>0.677</td>
-        <td>2</td>
-    </tr>
-    <tr>
-        <td>FiQA</td>
-        <td>0.254</td>
-        <td>5</td>
-        <td>0.3</td>
-        <td>4</td>
-        <td>0.322</td>
-        <td>3</td>
-        <td>0.376</td>
-        <td>1</td>
-        <td>0.344</td>
-        <td>2</td>
-    </tr>
-    <tr>
-        <td>ArguAna</td>
-        <td>0.472</td>
-        <td>2</td>
-        <td>0.427</td>
-        <td>4</td>
-        <td>0.378</td>
-        <td>5</td>
-        <td>0.508</td>
-        <td>1</td>
-        <td>0.461</td>
-        <td>3</td>
-    </tr>
-    <tr>
-        <td>Touche</td>
-        <td>0.347</td>
-        <td>1</td>
-        <td>0.162</td>
-        <td>5</td>
-        <td>0.313</td>
-        <td>2</td>
-        <td>0.278</td>
-        <td>4</td>
-        <td>0.294</td>
-        <td>3</td>
-    </tr>
-    <tr>
-        <td>DBPedia</td>
-        <td>0.287</td>
-        <td>5</td>
-        <td>0.383</td>
-        <td>4</td>
-        <td>0.387</td>
-        <td>3</td>
-        <td>0.447</td>
-        <td>1</td>
-        <td>0.412</td>
-        <td>2</td>
-    </tr>
-    <tr>
-        <td>SCIDOCS</td>
-        <td>0.165</td>
-        <td>2</td>
-        <td>0.149</td>
-        <td>5</td>
-        <td>0.174</td>
-        <td>1</td>
-        <td>0.164</td>
-        <td>3</td>
-        <td>0.154</td>
-        <td>4</td>
-    </tr>
-    <tr>
-        <td>FEVER</td>
-        <td>0.649</td>
-        <td>5</td>
-        <td>0.697</td>
-        <td>4</td>
-        <td>0.77</td>
-        <td>2</td>
-        <td>0.821</td>
-        <td>1</td>
-        <td>0.743</td>
-        <td>3</td>
-    </tr>
-    <tr>
-        <td>Climate FEVER</td>
-        <td>0.186</td>
-        <td>5</td>
-        <td>0.228</td>
-        <td>3</td>
-        <td>0.251</td>
-        <td>2</td>
-        <td>0.263</td>
-        <td>1</td>
-        <td>0.202</td>
-        <td>4</td>
-    </tr>
-    <tr>
-        <td>SciFact</td>
-        <td>0.69</td>
-        <td>3</td>
-        <td>0.643</td>
-        <td>5</td>
-        <td>0.672</td>
-        <td>4</td>
-        <td>0.723</td>
-        <td>1</td>
-        <td>0.716</td>
-        <td>2</td>
-    </tr>
-    <tr>
-        <td>Quora</td>
-        <td>0.789</td>
-        <td>4</td>
-        <td>0.835</td>
-        <td>3</td>
-        <td>0.864</td>
-        <td>1</td>
-        <td>0.856</td>
-        <td>2</td>
-        <td>0.788</td>
-        <td>5</td>
-    </tr>
-    <tr>
-        <td>Amazon ESCI</td>
-        <td>0.081</td>
-        <td>3</td>
-        <td>0.071</td>
-        <td>5</td>
-        <td>0.086</td>
-        <td>2</td>
-        <td>0.077</td>
-        <td>4</td>
-        <td>0.095</td>
-        <td>1</td>
-    </tr>
-    <tr>
-        <td>Average</td>
-        <td>0.419</td>
-        <td>3.71</td>
-        <td>0.41</td>
-        <td>4.29</td>
-        <td>0.45</td>
-        <td>2.71</td>
-        <td>0.492</td>
-        <td>1.64</td>
-        <td>0.462</td>
-        <td>2.64</td>
-    </tr>
-</table>
-
-***BEIR** is short for Benchmarking Information Retrieval, check our its [Github](https://github.com/beir-cellar/beir) page.
-
-<center><b>Table II.</b>Speed Comparison, in the term of latency and throughput</center>
-
-|	                        | BM25          | Dense (with TAS-B model)  | Neural Sparse Search bi-encoder | Neural Sparse Search doc-only  |
-|---------------------------|---------------|---------------------------| ------------------------------- | ------------------------------ |
-| P50 latency (ms)          | 8ms	        | 56.6ms	                |176.3ms	                      | 10.2ms	|
-| P90 latency (ms)          | 12.4ms	    | 71.12ms	                |267.3ms	                      | 15.2ms	|
-| P99 Latency (ms)          | 18.9ms	    | 86.8ms	                |383.5ms	                      | 22ms	|
-| Max throughput (op/s)	    | 2215.8op/s	| 318.5op/s	                |107.4op/s	                      | 1797.9op/s	|
-| Mean throughput (op/s)	| 2214.6op/s	| 298.2op/s	                |106.3op/s	                      | 1790.2op/s	|
-
-
-*The latencies were tested on a subset of MSMARCO v2, with in total 1M documents. We used 20 clients to loop search requests to get the latency data.
-
-<center><b>Table III.</b>Capacity consumption comparison</center>
-
-|	|BM25	|Dense (with TAS-B model)	|Neural Sparse Search Bi-encoder	| Neural Sparse Search Doc-only	|
-|-|-|-|-|-|
-|Index size	|1 GB	|65.4 GB	|4.7 GB	|6.8 GB	|
-|RAM usage	|480.74 GB	|675.36 GB	|480.64 GB	|494.25 GB	|
-|Runtime RAM delta	|+0.01 GB	|+53.34 GB	|+0.06 GB	|+0.03 GB	|
-
-*We performed this experiment using the full dataset of MSMARCO v2, with 8.8M passages. We excluded all _source fields for all methods and force merged the index before measuring index size. We set the heap size of the OpenSearch JVM to half the node RAM, so an empty OpenSearch cluster also consumes close to 480 GB of memory.
-
-## Build your search engine in five steps
-
-Several pretrained encoder models are published in the OpenSearch model repository. As the state-of-the-art of BEIR benchmark, they are already available for out-of-the-box use, reducing fine-tuning effort. You can follow these three steps to build your search engine:
-
-1. **Prerequisites**: To run the following simple cases in the cluster, change the settings:
-
-    ```
-    PUT /_cluster/settings
-    {
-        "transient" : {
-        "plugins.ml_commons.allow_registering_model_via_url" : true,
-        "plugins.ml_commons.only_run_on_ml_node" : false,
-        "plugins.ml_commons.native_memory_threshold" : 99
-        }
-    }
-    ```
-
-    **allow_registering_model_via_url** is required to be true because you need to register your pretrained model by URL. Set **only_run_on_ml_node** to false if you don’t have a machine learning (ML) node on your cluster.
-2. **Deploy encoders**: The ML Commons plugin supports deploying pretrained models via URL. Taking `opensearch-neural-sparse-encoding` as an example, you can deploy the encoder via this API:
-
-    ```
-    POST /_plugins/_ml/models/_register?deploy=true
-    {
-        "name": "opensearch-neural-sparse-encoding",
-        "version": "1.0.0",
-        "description": "opensearch-neural-sparse-encoding",
-        "model_format": "TORCH_SCRIPT",
-        "function_name": "SPARSE_ENCODING",
-        "model_content_hash_value": "d1ebaa26615090bdb0195a62b180afd2a8524c68c5d406a11ad787267f515ea8",
-        "url": "https://artifacts.opensearch.org/models/ml-models/amazon/neural-sparse/opensearch-neural-sparse-encoding-v1/1.0.1/torch_script/neural-sparse_opensearch-neural-sparse-encoding-v1-1.0.1-torch_script.zip"
-        }
-    ```
-
-    After that, you will get the task_id in your response:
-
-    ```
-    {
-        "task_id": "<task_id>",
-        "status": "CREATED"
-    }
-    ```
-
-    Use task_id to search register model task like:
-
-    ```
-    GET /_plugins/_ml/tasks/<task_id>
-    ```
-
-    You can get register model task information. The state will change. After the state is completed, you can get the model_id like::
-
-    ```
-    {
-        "model_id": "<model_id>",
-        "task_type": "REGISTER_MODEL",
-        "function_name": "SPARSE_TOKENIZE",
-        "state": "COMPLETED",
-        "worker_node": [
-            "wubXZX7xTIC7RW2z8nzhzw"
-        ],
-        "create_time": 1701390988405,
-        "last_update_time": 1701390993724,
-        "is_async": true
-    }
-    ```
-
-3. **Set up the ingestion process**: Each document should be encoded into sparse vectors before being indexed. In OpenSearch, this procedure is implemented by an ingestion processor. You can create the ingestion pipeline using this API:
-
-    ```
-    PUT /_ingest/pipeline/neural-sparse-pipeline
-    {
-        "description": "An example neural sparse encoding pipeline",
-        "processors" : [
-            {
-                "sparse_encoding": {
-                    "model_id": "<model_id>",
-                    "field_map": {
-                    "passage_text": "passage_embedding"
-                    }
-                }
-            }
-        ]
-    }
-    ```
-
-4. **Set up index mapping**: Neural search leverages the `rank_features` field type for indexing, such that the token weights can be stored. The index will use the above ingestion processor to embed text. The index can be created as follows:
-
-    ```
-    PUT /my-neural-sparse-index
-    {
-        "settings": {
-            "default_pipeline": "neural-sparse-pipeline"
-        },
-        "mappings": {
-            "properties": {
-                "passage_embedding": {
-                    "type": "rank_features"
-                },
-                "passage_text": {
-                    "type": "text"
-                }
-            }
-        }
-    }
-    ```
-
-5. **Ingest documents with the ingestion processor**: After setting index, customer can put doc. Customer provide text field while processor will automatically transfer text content into embedding vector and put it into  `rank_features` field according the `field_map` in the processor:
-
-    ```
-    PUT /my-neural-sparse-index/_doc/
-    {
-        "passage_text": "Hello world"
-    }
-    ```
-
-### Model selection
-
-Neural sparse has two working modes: bi-encoder and document-only. For bi-encoder mode, we recommend using the pretrained model named “opensearch-neural-sparse-encoding-v1”, while both online search and offline ingestion share the same model file. For document-only mode, we recommended using the pretrained model “opensearch-neural-sparse-encoding-doc-v1” for the ingestion processor and using the model “opensearch-neural-sparse-tokenizer-v1” to implement online query tokenization. Altough presented as a “ml-commons” model, “opensearch-neural-sparse-tokenizer-v1” only translates the query into tokens without any model inference. All the models are published [here](https://opensearch.org/docs/latest/ml-commons-plugin/pretrained-models/).
-
-### **Try your engine with a query clause**
-
-Congratulations! Now you have your own semantic search engine based on sparse encoders. To try a sample query, we can invoke the `_search` endpoint using the `neural_sparse` clause in query DSL:
-
-```
- GET /my-neural-sparse-index/_search/
- {
-    "query": {
-        "neural_sparse": {
-            "passage_embedding": {
-                "query_text": "Hello world a b",
-                "model_id": "<model_id>",
-                "max_token_score": 2.0
-            }
-        }
-    }
-}
-```
-
-Here are two parameters:
-- **“model_id” (string)**: The ID of the model that will be used to generate tokens and weights from the query text. The model must be indexed in OpenSearch before it can be used in neural search. A sparse encoding model will expand the tokens from query text, while the tokenizer model will only generate the token inside the query text.
-- **“max_token_score” (float)**: An extra parameter required for performance optimization. Just like the common OpenSearch match query, the neural_sparse query is transformed to a Lucene BooleanQuery combining disjunction of term-level sub-queries. The difference is we use FeatureQuery instead of TermQuery for term here. Lucene leverages the WAND (Weak AND) algorithm for dynamic pruning, which skips non-competitive tokens based on their score upper bounds. However, FeatureQuery uses FLOAT.MAX_VALUE as the score upper bound, which makes WAND optimization ineffective. The parameter resets the upper bound of each token in this query, and the default value is FLOAT.MAX_VALUE, which is consistent with the origin FeatureQuery. Setting the value to “3.5” for the bi-encoder model and “2” for the document-only model can accelerate search without precision loss. After OpenSearch is upgraded to Lucene version 9.8, this parameter will be deprecated.
diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
new file mode 100644
index 0000000000..b54e4975e6
--- /dev/null
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -0,0 +1,483 @@
+---
+layout: post
+title:  Improving document retrieval with sparse semantic encoders
+authors:
+  - zhichaog
+  - xinyual
+  - dagney
+  - yych
+  - kolchfa
+date: 2023-12-05 01:00:00 -0700
+categories:
+    - technical-posts
+meta_keywords: search relevance, neural sparse search, semantic search, semantic search with sparse encoders
+meta_description: Learn how the neural sparse framework in OpenSearch 2.11 can help you improve search relevance and optimize semantic searches with sparse encoders using just a few APIs.
+has_science_table: true
+---
+
+OpenSearch 2.11 introduced neural sparse search---a new, efficient way of semantic retrieval. In this blog post, you'll learn about using sparse encoders for semantic search. You'll find that neural sparse search reduces costs, performs faster, and improves search relevance. We're excited to share benchmarking results that show why neural sparse search is now the top-performing search method. You can even try it out by building your own search engine in just five steps. For a TLDR on benchmarking learnings, see [Key takeaways](#here-are-the-key-takeaways).
+
+## What are dense and sparse vector embeddings?
+
+When you use a transformer-based encoder, such as BERT, to generate traditional dense vector embeddings, the encoder translates each word into a vector. Collectively, these vectors make up a semantic vector space. In this space, the closer the vectors are, the more similar the words are in meaning.
+
+In sparse encoding, the encoder takes the text and creates a list of tokens that have similar semantic meaning. The model vocabulary ([WordPiece](https://huggingface.co/learn/nlp-course/chapter6/6?fw=pt)) contains most commonly used words along with various tense endings (for example, `-ed` and `-ing`) and suffixes (for example, `-ate` and `-ion`). You can think of the vocabulary as a semantic space where each document is a sparse vector.
+
+The following images show example results of dense and sparse encoding.
+
+<table style="border:none">
+  <tr>
+    <td style="border:none">
+        <img height="100%" src="/assets/media/blog-images/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders/embedding.png" />
+    </td>
+    <td style="border:none">
+        <img height="100%" src="/assets/media/blog-images/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders/expand.png" />
+    </td>
+  </tr>
+</table>
+
+_**Left**: Dense vector semantic space. **Right**: Sparse vector semantic space._
+
+## Sparse encoders use more efficient data structures
+
+In dense encoding, documents are represented as high-dimensional vectors. To search these documents, you need to use a k-NN index as an underlying data structure. On the other hand, sparse search can use a native Lucene index because sparse encodings are similar to term vectors used by keyword-based matching. 
+
+Compared to k-NN indexes, **sparse embeddings have the following cost-reducing advantages**: 
+
+1. Much smaller index size.
+1. Reduced runtime RAM cost.
+1. Lower computational cost. 
+
+For a detailed comparison, see [Table II](#table-ii-speed-comparison-in-terms-of-latency-and-throughput).
+
+## Sparse encoders perform better on unfamiliar datasets
+
+In our previous [blog post](https://opensearch.org/blog/semantic-science-benchmarks), we mentioned that searching with dense embeddings presents challenges when encoders are facing unfamiliar content. When an encoder trained on one dataset is used on a different dataset, the encoder often produces unpredictable embeddings, resulting in poor search result relevance. 
+
+Often, BM25 performs better than dense encoders on BEIR datasets that incorporate strong domain knowledge. In these cases, sparse encoders fall back on keyword-based matching, ensuring that their search results are no worse than BM25 ones. For a comparison of search result relevance benchmarks, see [Table I](#benchmarking-results).
+
+## Out of sparse encoders, document-only encoders are the most efficient
+
+You can run a neural sparse search in two modes: **bi-encoder** and **document-only**.
+
+In bi-encoder mode, both documents and search queries are passed through deep encoders. In document-only mode, documents are still passed through deep encoders, but search queries are instead tokenized. In this mode, document encoders are trained to learn more synonym association in order to increase recall. By eliminating the online inference phase, you can **save computational resources** and **significantly reduce latency**. For benchmarks, compare the `Neural sparse doc-only` column with other columns in [Table II](#table-ii-speed-comparison-in-terms-of-latency-and-throughput). 
+
+## Neural sparse search outperforms other search methods in benchmarking tests
+
+For benchmarking, we used a cluster containing 3 `r5.8xlarge` data nodes and 1 `r5.12xlarge` leader/ML node. We evaluated search relevance for all evaluated search methods in terms of NCDG@10. Additionally, we compared the runtime speed and the resource cost of each method.
+
+### Here are the key takeaways:
+
+* Both bi-encoder and document-only modes provide the highest relevance on the BEIR and Amazon ESCI datasets.
+* Without online inference, the search latency of document-only mode is comparable to BM25.
+* Sparse encoding results in a much smaller index size than dense encoding. The size of an index a document-only sparse encoder generates is **10.4%** of a dense encoding index size. For a bi-encoder, the index size is **7.2%** of a dense encoding index size.
+* Dense encoding uses k-NN retrieval and incurs a 7.9% increase in RAM cost at search time. Neural sparse search uses a native Lucene index, so the RAM cost does not increase at search time.
+
+## Benchmarking results
+
+The benchmarking results are presented in the following tables.
+
+### Table I. Relevance comparison on BEIR<sup>*</sup> benchmark and Amazon ESCI, in terms of NDCG@10 and  rank.
+
+<table>
+    <tr style="text\-align:center;">
+        <td></td>
+        <td colspan="2">BM25</td>
+        <td colspan="2">Dense(with TAS-B model)</td>
+        <td colspan="2">Hybrid(Dense + BM25)</td>
+        <td colspan="2">Neural sparse search bi-encoder</td>
+        <td colspan="2">Neural sparse search doc-only</td>
+    </tr>
+    <tr>
+        <td><b>Dataset</b></td>
+        <td><b>NDCG</b></td>
+        <td><b>Rank</b></td>
+        <td><b>NDCG</b></td>
+        <td><b>Rank</b></td>
+        <td><b>NDCG</b></td>
+        <td><b>Rank</b></td>
+        <td><b>NDCG</b></td>
+        <td><b>Rank</b></td>
+        <td><b>NDCG</b></td>
+        <td><b>Rank</b></td>
+    </tr>
+    <tr>
+        <td>Trec Covid</td>
+        <td>0.688</td>
+        <td>4</td>
+        <td>0.481</td>
+        <td>5</td>
+        <td>0.698</td>
+        <td>3</td>
+        <td>0.771</td>
+        <td>1</td>
+        <td>0.707</td>
+        <td>2</td>
+    </tr>
+    <tr>
+        <td>NFCorpus</td>
+        <td>0.327</td>
+        <td>4</td>
+        <td>0.319</td>
+        <td>5</td>
+        <td>0.335</td>
+        <td>3</td>
+        <td>0.36</td>
+        <td>1</td>
+        <td>0.352</td>
+        <td>2</td>
+    </tr>
+    <tr>
+        <td>NQ</td>
+        <td>0.326</td>
+        <td>5</td>
+        <td>0.463</td>
+        <td>3</td>
+        <td>0.418</td>
+        <td>4</td>
+        <td>0.553</td>
+        <td>1</td>
+        <td>0.521</td>
+        <td>2</td>
+    </tr>
+    <tr>
+        <td>HotpotQA</td>
+        <td>0.602</td>
+        <td>4</td>
+        <td>0.579</td>
+        <td>5</td>
+        <td>0.636</td>
+        <td>3</td>
+        <td>0.697</td>
+        <td>1</td>
+        <td>0.677</td>
+        <td>2</td>
+    </tr>
+    <tr>
+        <td>FiQA</td>
+        <td>0.254</td>
+        <td>5</td>
+        <td>0.3</td>
+        <td>4</td>
+        <td>0.322</td>
+        <td>3</td>
+        <td>0.376</td>
+        <td>1</td>
+        <td>0.344</td>
+        <td>2</td>
+    </tr>
+    <tr>
+        <td>ArguAna</td>
+        <td>0.472</td>
+        <td>2</td>
+        <td>0.427</td>
+        <td>4</td>
+        <td>0.378</td>
+        <td>5</td>
+        <td>0.508</td>
+        <td>1</td>
+        <td>0.461</td>
+        <td>3</td>
+    </tr>
+    <tr>
+        <td>Touche</td>
+        <td>0.347</td>
+        <td>1</td>
+        <td>0.162</td>
+        <td>5</td>
+        <td>0.313</td>
+        <td>2</td>
+        <td>0.278</td>
+        <td>4</td>
+        <td>0.294</td>
+        <td>3</td>
+    </tr>
+    <tr>
+        <td>DBPedia</td>
+        <td>0.287</td>
+        <td>5</td>
+        <td>0.383</td>
+        <td>4</td>
+        <td>0.387</td>
+        <td>3</td>
+        <td>0.447</td>
+        <td>1</td>
+        <td>0.412</td>
+        <td>2</td>
+    </tr>
+    <tr>
+        <td>SCIDOCS</td>
+        <td>0.165</td>
+        <td>2</td>
+        <td>0.149</td>
+        <td>5</td>
+        <td>0.174</td>
+        <td>1</td>
+        <td>0.164</td>
+        <td>3</td>
+        <td>0.154</td>
+        <td>4</td>
+    </tr>
+    <tr>
+        <td>FEVER</td>
+        <td>0.649</td>
+        <td>5</td>
+        <td>0.697</td>
+        <td>4</td>
+        <td>0.77</td>
+        <td>2</td>
+        <td>0.821</td>
+        <td>1</td>
+        <td>0.743</td>
+        <td>3</td>
+    </tr>
+    <tr>
+        <td>Climate FEVER</td>
+        <td>0.186</td>
+        <td>5</td>
+        <td>0.228</td>
+        <td>3</td>
+        <td>0.251</td>
+        <td>2</td>
+        <td>0.263</td>
+        <td>1</td>
+        <td>0.202</td>
+        <td>4</td>
+    </tr>
+    <tr>
+        <td>SciFact</td>
+        <td>0.69</td>
+        <td>3</td>
+        <td>0.643</td>
+        <td>5</td>
+        <td>0.672</td>
+        <td>4</td>
+        <td>0.723</td>
+        <td>1</td>
+        <td>0.716</td>
+        <td>2</td>
+    </tr>
+    <tr>
+        <td>Quora</td>
+        <td>0.789</td>
+        <td>4</td>
+        <td>0.835</td>
+        <td>3</td>
+        <td>0.864</td>
+        <td>1</td>
+        <td>0.856</td>
+        <td>2</td>
+        <td>0.788</td>
+        <td>5</td>
+    </tr>
+    <tr>
+        <td>Amazon ESCI</td>
+        <td>0.081</td>
+        <td>3</td>
+        <td>0.071</td>
+        <td>5</td>
+        <td>0.086</td>
+        <td>2</td>
+        <td>0.077</td>
+        <td>4</td>
+        <td>0.095</td>
+        <td>1</td>
+    </tr>
+    <tr>
+        <td>Average</td>
+        <td>0.419</td>
+        <td>3.71</td>
+        <td>0.41</td>
+        <td>4.29</td>
+        <td>0.45</td>
+        <td>2.71</td>
+        <td>0.492</td>
+        <td>1.64</td>
+        <td>0.462</td>
+        <td>2.64</td>
+    </tr>
+</table>
+
+<sup>*</sup> BEIR is short for Benchmarking Information Retrieval. For more information, see [the BEIR GitHub page](https://github.com/beir-cellar/beir).
+
+### Table II. Speed comparison, in terms of latency and throughput.
+
+|	                        | BM25          | Dense (with TAS-B model)  | Neural sparse search bi-encoder | Neural sparse search doc-only  |
+|---------------------------|---------------|---------------------------| ------------------------------- | ------------------------------ |
+| P50 latency (ms)          | 8 ms	        | 56.6 ms	                |176.3 ms	                      | 10.2ms	|
+| P90 latency (ms)          | 12.4 ms	    | 71.12 ms	                |267.3 ms	                      | 15.2ms	|
+| P99 Latency (ms)          | 18.9 ms	    | 86.8 ms	                |383.5 ms	                      | 22ms	|
+| Max throughput (op/s)	    | 2215.8 op/s	| 318.5 op/s	                |107.4 op/s	                      | 1797.9 op/s	|
+| Mean throughput (op/s)	| 2214.6 op/s	| 298.2 op/s	                |106.3 op/s	                      | 1790.2 op/s	|
+
+
+<sup>*</sup> We tested latency on a subset of MSMARCO v2, with 1M documents in total. To obtain latency data, we used 20 clients to loop search requests.
+
+### Table III. Capacity consumption comparison
+
+|	|BM25	|Dense (with TAS-B model)	|Neural sparse search bi-encoder	| Neural sparse search doc-only	|
+|-|-|-|-|-|
+|Index size	|1 GB	|65.4 GB	|4.7 GB	|6.8 GB	|
+|RAM usage	|480.74 GB	|675.36 GB	|480.64 GB	|494.25 GB	|
+|Runtime RAM delta	|+0.01 GB	|+53.34 GB	|+0.06 GB	|+0.03 GB	|
+
+<sup>*</sup> We performed this experiment using the full MSMARCO v2 dataset, with 8.8M passages. For all methods, we excluded the `_source` fields and force merged the index before measuring index size. We set the heap size of the OpenSearch JVM to half of the node RAM, so an empty OpenSearch cluster still consumed close to 480 GB of memory.
+
+## Build your search engine in five steps
+
+OpenSearch provides several pretrained encoder models that you can use out-of-the-box without fine-tuning. For more information about sparse encoding models provided by OpenSearch, see [Sparse encoding models](https://opensearch.org/docs/latest/ml-commons-plugin/pretrained-models/#sparse-encoding-models).
+
+Follow these steps to build your search engine:
+
+1. **Prerequisites**: For this simple setup, update the following cluster settings:
+
+    ```json
+    PUT /_cluster/settings
+    {
+        "transient": {
+            "plugins.ml_commons.allow_registering_model_via_url": true,
+            "plugins.ml_commons.only_run_on_ml_node": false,
+            "plugins.ml_commons.native_memory_threshold": 99
+        }
+    }
+    ```
+
+    For more information about ML-related cluster settings, see [ML Commons cluster settings](https://opensearch.org/docs/latest/ml-commons-plugin/cluster-settings/).
+2. **Deploy encoders**: The ML Commons plugin supports deploying pretrained models using a URL. For this example, you'll deploy the `opensearch-neural-sparse-encoding` encoder:
+
+    ```json
+    POST /_plugins/_ml/models/_register?deploy=true
+    {
+        "name": "opensearch-neural-sparse-encoding",
+        "version": "1.0.0",
+        "description": "opensearch-neural-sparse-encoding",
+        "model_format": "TORCH_SCRIPT",
+        "function_name": "SPARSE_ENCODING",
+        "model_content_hash_value": "d1ebaa26615090bdb0195a62b180afd2a8524c68c5d406a11ad787267f515ea8",
+        "url": "https://artifacts.opensearch.org/models/ml-models/amazon/neural-sparse/opensearch-neural-sparse-encoding-v1/1.0.1/torch_script/neural-sparse_opensearch-neural-sparse-encoding-v1-1.0.1-torch_script.zip"
+    }
+    ```
+
+    OpenSearch responds with a `task_id`:
+
+    ```json
+    {
+        "task_id": "<task_id>",
+        "status": "CREATED"
+    }
+    ```
+
+    Use the `task_id` to check the status of the task:
+
+    ```json
+    GET /_plugins/_ml/tasks/<task_id>
+    ```
+
+    Once the task is complete, the task state changes `COMPLETED` and OpenSearch returns the `model_id` for the deployed model:
+
+    ```json
+    {
+        "model_id": "<model_id>",
+        "task_type": "REGISTER_MODEL",
+        "function_name": "SPARSE_TOKENIZE",
+        "state": "COMPLETED",
+        "worker_node": [
+            "wubXZX7xTIC7RW2z8nzhzw"
+        ],
+        "create_time": 1701390988405,
+        "last_update_time": 1701390993724,
+        "is_async": true
+    }
+    ```
+
+3. **Set up ingestion**: In OpenSearch, a `sparse_encoding` ingest processor encodes documents into sparse vectors before indexing them. Create an ingest pipeline as follows:
+
+    ```json
+    PUT /_ingest/pipeline/neural-sparse-pipeline
+    {
+        "description": "An example neural sparse encoding pipeline",
+        "processors" : [
+            {
+                "sparse_encoding": {
+                    "model_id": "<model_id>",
+                    "field_map": {
+                        "passage_text": "passage_embedding"
+                    }
+                }
+            }
+        ]
+    }
+    ```
+
+4. **Set up index mapping**: Neural search uses the `rank_features` field type to store token weights when documents are indexed. The index will use the ingest pipeline you created to generate text embeddings. Create the index as follows:
+
+    ```json
+    PUT /my-neural-sparse-index
+    {
+        "settings": {
+            "default_pipeline": "neural-sparse-pipeline"
+        },
+        "mappings": {
+            "properties": {
+                "passage_embedding": {
+                    "type": "rank_features"
+                },
+                "passage_text": {
+                    "type": "text"
+                }
+            }
+        }
+    }
+    ```
+
+5. **Ingest documents using the ingest pipeline**: After creating the index, you can ingest documents into it. When you index a text field, the ingest processor converts text into a vector embedding and stores it in the `passage_embedding` field specified in the processor:
+
+    ```json
+    PUT /my-neural-sparse-index/_doc/
+    {
+        "passage_text": "Hello world"
+    }
+    ```
+
+**Try your engine with a query clause**
+
+Congratulations! You've now created your own semantic search engine based on sparse encoders. To try a sample query, invoke the `_search` endpoint using the `neural_sparse` query:
+
+```json
+ GET /my-neural-sparse-index/_search/
+ {
+    "query": {
+        "neural_sparse": {
+            "passage_embedding": {
+                "query_text": "Hello world a b",
+                "model_id": "<model_id>",
+                "max_token_score": 2.0
+            }
+        }
+    }
+}
+```
+
+### The neural sparse query parameters
+
+The `neural_sparse` query supports two parameters:
+
+- `model_id` (String): The ID of the model that is used to generate tokens and weights from the query text. A sparse encoding model will expand the tokens from query text, while the tokenizer model will only tokenize the query text itself.
+- `max_token_score` (Float): An extra parameter required for performance optimization. Just like the OpenSearch `match` query, the `neural_sparse` query is transformed to a Lucene BooleanQuery, combining term-level subqueries using disjunction. The difference is that for the neural sparse query, we use FeatureQuery instead of TermQuery to match the terms. Lucene employs the WAND (Weak AND) algorithm for dynamic pruning, which skips non-competitive tokens based on their score upper bounds. However, FeatureQuery uses `FLOAT.MAX_VALUE` as the score upper bound, which makes the WAND optimization ineffective. The `max_token_score` parameter resets the score upper bound for each token in a query, which is consistent with the original FeatureQuery. Thus, setting the value to 3.5 for the bi-encoder model and 2 for the document-only model can accelerate search without precision loss. After OpenSearch is upgraded to Lucene version 9.8, this parameter will be deprecated.
+
+## Selecting a model
+
+Use the following recommendations to help you select a sparse encoder model:
+
+- For **bi-encoder** mode, we recommend using the `opensearch-neural-sparse-encoding-v1` pretrained model. For this model, both online search and offline ingestion share the same model file. 
+
+- For **document-only** mode, we recommended using the `opensearch-neural-sparse-encoding-doc-v1` pretrained model for ingestion and the `opensearch-neural-sparse-tokenizer-v1` model at search time to implement online query tokenization. This model does not employ model inference and only translates the query into tokens. 
+
+For more information, see [Sparse encoding models](https://opensearch.org/docs/latest/ml-commons-plugin/pretrained-models/#sparse-encoding-models).
+
+## Next steps
+
+- For more information about neural sparse search, see [Neural sparse search](https://opensearch.org/docs/latest/search-plugins/neural-sparse-search/). 
+- For an OpenSearch end-to-end neural search tutorial, see [Neural search tutorial](https://opensearch.org/docs/latest/search-plugins/neural-search-tutorial/). 
+- For a list of all search methods OpenSearch supports, see [Search methods](https://opensearch.org/docs/latest/search-plugins/index/#search-methods).
+- Give us your feedback on the [OpenSearch Forum](https://forum.opensearch.org/).
\ No newline at end of file

From 7e3815b725198d69ae57be2b444f3b2967dd13f3 Mon Sep 17 00:00:00 2001
From: Fanit Kolchina <kolchfa@amazon.com>
Date: Thu, 7 Dec 2023 23:12:17 -0500
Subject: [PATCH 21/34] Minor rewording

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
---
 ...oving-document-retrieval-with-sparse-semantic-encoders.md | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
index b54e4975e6..98a75eb82b 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -325,8 +325,6 @@ The benchmarking results are presented in the following tables.
 
 ## Build your search engine in five steps
 
-OpenSearch provides several pretrained encoder models that you can use out-of-the-box without fine-tuning. For more information about sparse encoding models provided by OpenSearch, see [Sparse encoding models](https://opensearch.org/docs/latest/ml-commons-plugin/pretrained-models/#sparse-encoding-models).
-
 Follow these steps to build your search engine:
 
 1. **Prerequisites**: For this simple setup, update the following cluster settings:
@@ -467,13 +465,14 @@ The `neural_sparse` query supports two parameters:
 
 ## Selecting a model
 
+OpenSearch provides several pretrained encoder models that you can use out-of-the-box without fine-tuning. For a list of sparse encoding models provided by OpenSearch, see [Sparse encoding models](https://opensearch.org/docs/latest/ml-commons-plugin/pretrained-models/#sparse-encoding-models).
+
 Use the following recommendations to help you select a sparse encoder model:
 
 - For **bi-encoder** mode, we recommend using the `opensearch-neural-sparse-encoding-v1` pretrained model. For this model, both online search and offline ingestion share the same model file. 
 
 - For **document-only** mode, we recommended using the `opensearch-neural-sparse-encoding-doc-v1` pretrained model for ingestion and the `opensearch-neural-sparse-tokenizer-v1` model at search time to implement online query tokenization. This model does not employ model inference and only translates the query into tokens. 
 
-For more information, see [Sparse encoding models](https://opensearch.org/docs/latest/ml-commons-plugin/pretrained-models/#sparse-encoding-models).
 
 ## Next steps
 

From e50effcc403d04f85f3a637f828ea58f63a84e95 Mon Sep 17 00:00:00 2001
From: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>
Date: Fri, 8 Dec 2023 08:44:26 -0500
Subject: [PATCH 22/34] Apply suggestions from code review

Co-authored-by: Nathan Bower <nbower@amazon.com>
Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>
---
 ...retrieval-with-sparse-semantic-encoders.md | 36 +++++++++----------
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
index 98a75eb82b..5d6cb396ef 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -15,7 +15,7 @@ meta_description: Learn how the neural sparse framework in OpenSearch 2.11 can h
 has_science_table: true
 ---
 
-OpenSearch 2.11 introduced neural sparse search---a new, efficient way of semantic retrieval. In this blog post, you'll learn about using sparse encoders for semantic search. You'll find that neural sparse search reduces costs, performs faster, and improves search relevance. We're excited to share benchmarking results that show why neural sparse search is now the top-performing search method. You can even try it out by building your own search engine in just five steps. For a TLDR on benchmarking learnings, see [Key takeaways](#here-are-the-key-takeaways).
+OpenSearch 2.11 introduced neural sparse search---a new efficient method of semantic retrieval. In this blog post, you'll learn about using sparse encoders for semantic search. You'll find that neural sparse search reduces costs, performs faster, and improves search relevance. We're excited to share benchmarking results that show why neural sparse search is now the top-performing search method. You can even try it out by building your own search engine in just five steps. For a TLDR on benchmarking learnings, see [Key takeaways](#here-are-the-key-takeaways).
 
 ## What are dense and sparse vector embeddings?
 
@@ -68,9 +68,9 @@ For benchmarking, we used a cluster containing 3 `r5.8xlarge` data nodes and 1 `
 
 ### Here are the key takeaways:
 
-* Both bi-encoder and document-only modes provide the highest relevance on the BEIR and Amazon ESCI datasets.
+* Both modes provide the highest relevance on the BEIR and Amazon ESCI datasets.
 * Without online inference, the search latency of document-only mode is comparable to BM25.
-* Sparse encoding results in a much smaller index size than dense encoding. The size of an index a document-only sparse encoder generates is **10.4%** of a dense encoding index size. For a bi-encoder, the index size is **7.2%** of a dense encoding index size.
+* Sparse encoding results in a much smaller index size than dense encoding. A document-only sparse encoder generates an index that is **10.4%** of the size of a dense encoding index. For a bi-encoder, the index size is **7.2%** of the size of a dense encoding index.
 * Dense encoding uses k-NN retrieval and incurs a 7.9% increase in RAM cost at search time. Neural sparse search uses a native Lucene index, so the RAM cost does not increase at search time.
 
 ## Benchmarking results
@@ -83,10 +83,10 @@ The benchmarking results are presented in the following tables.
     <tr style="text\-align:center;">
         <td></td>
         <td colspan="2">BM25</td>
-        <td colspan="2">Dense(with TAS-B model)</td>
-        <td colspan="2">Hybrid(Dense + BM25)</td>
+        <td colspan="2">Dense (with TAS-B model)</td>
+        <td colspan="2">Hybrid (Dense + BM25)</td>
         <td colspan="2">Neural sparse search bi-encoder</td>
-        <td colspan="2">Neural sparse search doc-only</td>
+        <td colspan="2">Neural sparse search document-only</td>
     </tr>
     <tr>
         <td><b>Dataset</b></td>
@@ -298,11 +298,11 @@ The benchmarking results are presented in the following tables.
     </tr>
 </table>
 
-<sup>*</sup> BEIR is short for Benchmarking Information Retrieval. For more information, see [the BEIR GitHub page](https://github.com/beir-cellar/beir).
+<sup>*</sup> BEIR stands for Benchmarking Information Retrieval. For more information, see [the BEIR GitHub page](https://github.com/beir-cellar/beir).
 
-### Table II. Speed comparison, in terms of latency and throughput.
+### Table II. Speed comparison in terms of latency and throughput
 
-|	                        | BM25          | Dense (with TAS-B model)  | Neural sparse search bi-encoder | Neural sparse search doc-only  |
+|	                        | BM25          | Dense (with TAS-B model)  | Neural sparse search bi-encoder | Neural sparse search document-only  |
 |---------------------------|---------------|---------------------------| ------------------------------- | ------------------------------ |
 | P50 latency (ms)          | 8 ms	        | 56.6 ms	                |176.3 ms	                      | 10.2ms	|
 | P90 latency (ms)          | 12.4 ms	    | 71.12 ms	                |267.3 ms	                      | 15.2ms	|
@@ -311,17 +311,17 @@ The benchmarking results are presented in the following tables.
 | Mean throughput (op/s)	| 2214.6 op/s	| 298.2 op/s	                |106.3 op/s	                      | 1790.2 op/s	|
 
 
-<sup>*</sup> We tested latency on a subset of MSMARCO v2, with 1M documents in total. To obtain latency data, we used 20 clients to loop search requests.
+<sup>*</sup> We tested latency on a subset of MS MARCO v2 containing 1M documents in total. To obtain latency data, we used 20 clients to loop search requests.
 
 ### Table III. Capacity consumption comparison
 
-|	|BM25	|Dense (with TAS-B model)	|Neural sparse search bi-encoder	| Neural sparse search doc-only	|
+|	|BM25	|Dense (with TAS-B model)	|Neural sparse search bi-encoder	| Neural sparse search document-only	|
 |-|-|-|-|-|
 |Index size	|1 GB	|65.4 GB	|4.7 GB	|6.8 GB	|
 |RAM usage	|480.74 GB	|675.36 GB	|480.64 GB	|494.25 GB	|
 |Runtime RAM delta	|+0.01 GB	|+53.34 GB	|+0.06 GB	|+0.03 GB	|
 
-<sup>*</sup> We performed this experiment using the full MSMARCO v2 dataset, with 8.8M passages. For all methods, we excluded the `_source` fields and force merged the index before measuring index size. We set the heap size of the OpenSearch JVM to half of the node RAM, so an empty OpenSearch cluster still consumed close to 480 GB of memory.
+<sup>*</sup> We performed this experiment using the full MS MARCO v2 dataset, containing 8.8M passages. For all methods, we excluded the `_source` fields and force merged the index before measuring index size. We set the heap size of the OpenSearch JVM to half of the node RAM, so an empty OpenSearch cluster still consumed close to 480 GB of memory.
 
 ## Build your search engine in five steps
 
@@ -371,7 +371,7 @@ Follow these steps to build your search engine:
     GET /_plugins/_ml/tasks/<task_id>
     ```
 
-    Once the task is complete, the task state changes `COMPLETED` and OpenSearch returns the `model_id` for the deployed model:
+    Once the task is complete, the task state changes to `COMPLETED` and OpenSearch returns the `model_id` for the deployed model:
 
     ```json
     {
@@ -456,7 +456,7 @@ Congratulations! You've now created your own semantic search engine based on spa
 }
 ```
 
-### The neural sparse query parameters
+### Neural sparse query parameters
 
 The `neural_sparse` query supports two parameters:
 
@@ -465,9 +465,9 @@ The `neural_sparse` query supports two parameters:
 
 ## Selecting a model
 
-OpenSearch provides several pretrained encoder models that you can use out-of-the-box without fine-tuning. For a list of sparse encoding models provided by OpenSearch, see [Sparse encoding models](https://opensearch.org/docs/latest/ml-commons-plugin/pretrained-models/#sparse-encoding-models).
+OpenSearch provides several pretrained encoder models that you can use out of the box without fine-tuning. For a list of sparse encoding models provided by OpenSearch, see [Sparse encoding models](https://opensearch.org/docs/latest/ml-commons-plugin/pretrained-models/#sparse-encoding-models).
 
-Use the following recommendations to help you select a sparse encoder model:
+Use the following recommendations to select a sparse encoder model:
 
 - For **bi-encoder** mode, we recommend using the `opensearch-neural-sparse-encoding-v1` pretrained model. For this model, both online search and offline ingestion share the same model file. 
 
@@ -477,6 +477,6 @@ Use the following recommendations to help you select a sparse encoder model:
 ## Next steps
 
 - For more information about neural sparse search, see [Neural sparse search](https://opensearch.org/docs/latest/search-plugins/neural-sparse-search/). 
-- For an OpenSearch end-to-end neural search tutorial, see [Neural search tutorial](https://opensearch.org/docs/latest/search-plugins/neural-search-tutorial/). 
+- For an end-to-end neural search tutorial, see [Neural search tutorial](https://opensearch.org/docs/latest/search-plugins/neural-search-tutorial/). 
 - For a list of all search methods OpenSearch supports, see [Search methods](https://opensearch.org/docs/latest/search-plugins/index/#search-methods).
-- Give us your feedback on the [OpenSearch Forum](https://forum.opensearch.org/).
\ No newline at end of file
+- Provide your feedback on the [OpenSearch Forum](https://forum.opensearch.org/).
\ No newline at end of file

From 96e0cb25aca45e3bcaf71b8ec4895129a599bc99 Mon Sep 17 00:00:00 2001
From: Fanit Kolchina <kolchfa@amazon.com>
Date: Fri, 8 Dec 2023 09:25:17 -0500
Subject: [PATCH 23/34] Implemented editorial comments

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
---
 ...-retrieval-with-sparse-semantic-encoders.md | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
index 5d6cb396ef..8adc63b235 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -15,13 +15,13 @@ meta_description: Learn how the neural sparse framework in OpenSearch 2.11 can h
 has_science_table: true
 ---
 
-OpenSearch 2.11 introduced neural sparse search---a new efficient method of semantic retrieval. In this blog post, you'll learn about using sparse encoders for semantic search. You'll find that neural sparse search reduces costs, performs faster, and improves search relevance. We're excited to share benchmarking results that show why neural sparse search is now the top-performing search method. You can even try it out by building your own search engine in just five steps. For a TLDR on benchmarking learnings, see [Key takeaways](#here-are-the-key-takeaways).
+OpenSearch 2.11 introduced neural sparse search---a new efficient method of semantic retrieval. In this blog post, you'll learn about using sparse encoders for semantic search. You'll find that neural sparse search reduces costs, performs faster, and improves search relevance. We're excited to share benchmarking results and show how neural sparse search outperforms other search methods. You can even try it out by building your own search engine in just five steps. 
 
 ## What are dense and sparse vector embeddings?
 
 When you use a transformer-based encoder, such as BERT, to generate traditional dense vector embeddings, the encoder translates each word into a vector. Collectively, these vectors make up a semantic vector space. In this space, the closer the vectors are, the more similar the words are in meaning.
 
-In sparse encoding, the encoder takes the text and creates a list of tokens that have similar semantic meaning. The model vocabulary ([WordPiece](https://huggingface.co/learn/nlp-course/chapter6/6?fw=pt)) contains most commonly used words along with various tense endings (for example, `-ed` and `-ing`) and suffixes (for example, `-ate` and `-ion`). You can think of the vocabulary as a semantic space where each document is a sparse vector.
+In sparse encoding, the encoder uses the text to create a list of tokens that have similar semantic meaning. The model vocabulary ([WordPiece](https://huggingface.co/learn/nlp-course/chapter6/6?fw=pt)) contains most commonly used words along with various tense endings (for example, `-ed` and `-ing`) and suffixes (for example, `-ate` and `-ion`). You can think of the vocabulary as a semantic space where each document is a sparse vector.
 
 The following images show example results of dense and sparse encoding.
 
@@ -52,21 +52,21 @@ For a detailed comparison, see [Table II](#table-ii-speed-comparison-in-terms-of
 
 ## Sparse encoders perform better on unfamiliar datasets
 
-In our previous [blog post](https://opensearch.org/blog/semantic-science-benchmarks), we mentioned that searching with dense embeddings presents challenges when encoders are facing unfamiliar content. When an encoder trained on one dataset is used on a different dataset, the encoder often produces unpredictable embeddings, resulting in poor search result relevance. 
+In our previous [blog post](https://opensearch.org/blog/semantic-science-benchmarks), we mentioned that searching with dense embeddings presents challenges when encoders encounter unfamiliar content. When an encoder trained on one dataset is used on a different dataset, the encoder often produces unpredictable embeddings, resulting in poor search result relevance. 
 
-Often, BM25 performs better than dense encoders on BEIR datasets that incorporate strong domain knowledge. In these cases, sparse encoders fall back on keyword-based matching, ensuring that their search results are no worse than BM25 ones. For a comparison of search result relevance benchmarks, see [Table I](#benchmarking-results).
+Often, BM25 performs better than dense encoders on BEIR datasets that incorporate strong domain knowledge. In these cases, sparse encoders can fall back on keyword-based matching, ensuring that their search results are no worse than those produced by BM25. For a comparison of search result relevance benchmarks, see [Table I](#benchmarking-results).
 
-## Out of sparse encoders, document-only encoders are the most efficient
+## Among sparse encoders, document-only encoders are the most efficient
 
 You can run a neural sparse search in two modes: **bi-encoder** and **document-only**.
 
-In bi-encoder mode, both documents and search queries are passed through deep encoders. In document-only mode, documents are still passed through deep encoders, but search queries are instead tokenized. In this mode, document encoders are trained to learn more synonym association in order to increase recall. By eliminating the online inference phase, you can **save computational resources** and **significantly reduce latency**. For benchmarks, compare the `Neural sparse doc-only` column with other columns in [Table II](#table-ii-speed-comparison-in-terms-of-latency-and-throughput). 
+In bi-encoder mode, both documents and search queries are passed through deep encoders. In document-only mode, documents are still passed through deep encoders, but search queries are instead tokenized. In this mode, document encoders are trained to learn more synonym association in order to increase recall. By eliminating the online inference phase, you can **save computational resources** and **significantly reduce latency**. For benchmarks, compare the `Neural sparse document-only` column with the other columns in [Table II](#table-ii-speed-comparison-in-terms-of-latency-and-throughput). 
 
 ## Neural sparse search outperforms other search methods in benchmarking tests
 
-For benchmarking, we used a cluster containing 3 `r5.8xlarge` data nodes and 1 `r5.12xlarge` leader/ML node. We evaluated search relevance for all evaluated search methods in terms of NCDG@10. Additionally, we compared the runtime speed and the resource cost of each method.
+For benchmarking, we used a cluster containing 3 `r5.8xlarge` data nodes and 1 `r5.12xlarge` leader/machine learning (ML) node. We measured search relevance for all evaluated search methods in terms of NCDG@10. Additionally, we compared the runtime speed and the resource cost of each method.
 
-### Here are the key takeaways:
+Here are the key takeaways:
 
 * Both modes provide the highest relevance on the BEIR and Amazon ESCI datasets.
 * Without online inference, the search latency of document-only mode is comparable to BM25.
@@ -461,7 +461,7 @@ Congratulations! You've now created your own semantic search engine based on spa
 The `neural_sparse` query supports two parameters:
 
 - `model_id` (String): The ID of the model that is used to generate tokens and weights from the query text. A sparse encoding model will expand the tokens from query text, while the tokenizer model will only tokenize the query text itself.
-- `max_token_score` (Float): An extra parameter required for performance optimization. Just like the OpenSearch `match` query, the `neural_sparse` query is transformed to a Lucene BooleanQuery, combining term-level subqueries using disjunction. The difference is that for the neural sparse query, we use FeatureQuery instead of TermQuery to match the terms. Lucene employs the WAND (Weak AND) algorithm for dynamic pruning, which skips non-competitive tokens based on their score upper bounds. However, FeatureQuery uses `FLOAT.MAX_VALUE` as the score upper bound, which makes the WAND optimization ineffective. The `max_token_score` parameter resets the score upper bound for each token in a query, which is consistent with the original FeatureQuery. Thus, setting the value to 3.5 for the bi-encoder model and 2 for the document-only model can accelerate search without precision loss. After OpenSearch is upgraded to Lucene version 9.8, this parameter will be deprecated.
+- `max_token_score` (Float): An extra parameter required for performance optimization. Just like the OpenSearch `match` query, the `neural_sparse` query is transformed to a Lucene BooleanQuery, combining term-level subqueries using disjunction. The difference is that neural sparse query uses FeatureQuery instead of TermQuery to match the terms. Lucene employs the Weak AND (WAND) algorithm for dynamic pruning, which skips non-competitive tokens based on their score upper bounds. However, FeatureQuery uses `FLOAT.MAX_VALUE` as the score upper bound, which makes the WAND optimization ineffective. The `max_token_score` parameter resets the score upper bound for each token in a query, which is consistent with the original FeatureQuery. Thus, setting the value to 3.5 for the bi-encoder model and to 2 for the document-only model can accelerate search without precision loss. After OpenSearch is upgraded to Lucene version 9.8, this parameter will be deprecated.
 
 ## Selecting a model
 

From b3564f0a45b5c818bb7d613df5c5a21409a8a7be Mon Sep 17 00:00:00 2001
From: Fanit Kolchina <kolchfa@amazon.com>
Date: Fri, 8 Dec 2023 09:29:07 -0500
Subject: [PATCH 24/34] Corrected capitalization of datasets

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
---
 ...ving-document-retrieval-with-sparse-semantic-encoders.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
index 8adc63b235..9caddb6908 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -77,7 +77,7 @@ Here are the key takeaways:
 
 The benchmarking results are presented in the following tables.
 
-### Table I. Relevance comparison on BEIR<sup>*</sup> benchmark and Amazon ESCI, in terms of NDCG@10 and  rank.
+### Table I. Relevance comparison on BEIR<sup>*</sup> benchmark and Amazon ESCI, in terms of NDCG@10 and  rank
 
 <table>
     <tr style="text\-align:center;">
@@ -102,7 +102,7 @@ The benchmarking results are presented in the following tables.
         <td><b>Rank</b></td>
     </tr>
     <tr>
-        <td>Trec Covid</td>
+        <td>Trec-Covid</td>
         <td>0.688</td>
         <td>4</td>
         <td>0.481</td>
@@ -206,7 +206,7 @@ The benchmarking results are presented in the following tables.
         <td>2</td>
     </tr>
     <tr>
-        <td>SCIDOCS</td>
+        <td>SciDocs</td>
         <td>0.165</td>
         <td>2</td>
         <td>0.149</td>

From 3dc0577fc5413a01ed0f5afb664655c3e441beba Mon Sep 17 00:00:00 2001
From: Fanit Kolchina <kolchfa@amazon.com>
Date: Fri, 8 Dec 2023 09:31:48 -0500
Subject: [PATCH 25/34] Extra space

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
---
 ...mproving-document-retrieval-with-sparse-semantic-encoders.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
index 9caddb6908..aa15d5d1de 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -77,7 +77,7 @@ Here are the key takeaways:
 
 The benchmarking results are presented in the following tables.
 
-### Table I. Relevance comparison on BEIR<sup>*</sup> benchmark and Amazon ESCI, in terms of NDCG@10 and  rank
+### Table I. Relevance comparison on BEIR<sup>*</sup> benchmark and Amazon ESCI, in terms of NDCG@10 and rank
 
 <table>
     <tr style="text\-align:center;">

From e48f1bafc240483d5decdfea0551fe7c54c11782 Mon Sep 17 00:00:00 2001
From: Fanit Kolchina <kolchfa@amazon.com>
Date: Fri, 8 Dec 2023 09:37:28 -0500
Subject: [PATCH 26/34] More editorial feedback

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
---
 ...ng-document-retrieval-with-sparse-semantic-encoders.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
index aa15d5d1de..105187f744 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -40,13 +40,13 @@ _**Left**: Dense vector semantic space. **Right**: Sparse vector semantic space.
 
 ## Sparse encoders use more efficient data structures
 
-In dense encoding, documents are represented as high-dimensional vectors. To search these documents, you need to use a k-NN index as an underlying data structure. On the other hand, sparse search can use a native Lucene index because sparse encodings are similar to term vectors used by keyword-based matching. 
+In dense encoding, documents are represented as high-dimensional vectors. To search these documents, you need to use a k-NN index as an underlying data structure. In contrast, sparse search can use a native Lucene index because sparse encodings are similar to term vectors used by keyword-based matching. 
 
 Compared to k-NN indexes, **sparse embeddings have the following cost-reducing advantages**: 
 
-1. Much smaller index size.
-1. Reduced runtime RAM cost.
-1. Lower computational cost. 
+1. Much smaller index size
+1. Reduced runtime RAM cost
+1. Lower computational cost
 
 For a detailed comparison, see [Table II](#table-ii-speed-comparison-in-terms-of-latency-and-throughput).
 

From ff7ea3792f55cd0668c870568aa18dfae5ac7230 Mon Sep 17 00:00:00 2001
From: Fanit Kolchina <kolchfa@amazon.com>
Date: Fri, 8 Dec 2023 10:00:41 -0500
Subject: [PATCH 27/34] More editorial comments

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
---
 ...cument-retrieval-with-sparse-semantic-encoders.md | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
index 105187f744..7d145c7a66 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -15,7 +15,7 @@ meta_description: Learn how the neural sparse framework in OpenSearch 2.11 can h
 has_science_table: true
 ---
 
-OpenSearch 2.11 introduced neural sparse search---a new efficient method of semantic retrieval. In this blog post, you'll learn about using sparse encoders for semantic search. You'll find that neural sparse search reduces costs, performs faster, and improves search relevance. We're excited to share benchmarking results and show how neural sparse search outperforms other search methods. You can even try it out by building your own search engine in just five steps. 
+OpenSearch 2.11 introduced neural sparse search---a new efficient method of semantic retrieval. In this blog post, you'll learn about using sparse encoders for semantic search. You'll find that neural sparse search reduces costs, performs faster, and improves search relevance. We're excited to share benchmarking results and show how neural sparse search outperforms other search methods. You can even try it out by building your own search engine in just five steps. To skip straight to the results, see [Benchmarking results](#benchmarking-results).
 
 ## What are dense and sparse vector embeddings?
 
@@ -54,7 +54,7 @@ For a detailed comparison, see [Table II](#table-ii-speed-comparison-in-terms-of
 
 In our previous [blog post](https://opensearch.org/blog/semantic-science-benchmarks), we mentioned that searching with dense embeddings presents challenges when encoders encounter unfamiliar content. When an encoder trained on one dataset is used on a different dataset, the encoder often produces unpredictable embeddings, resulting in poor search result relevance. 
 
-Often, BM25 performs better than dense encoders on BEIR datasets that incorporate strong domain knowledge. In these cases, sparse encoders can fall back on keyword-based matching, ensuring that their search results are no worse than those produced by BM25. For a comparison of search result relevance benchmarks, see [Table I](#benchmarking-results).
+Often, BM25 performs better than dense encoders on BEIR datasets that incorporate strong domain knowledge. In these cases, sparse encoders can fall back on keyword-based matching, ensuring that their search results are no worse than those produced by BM25. For a comparison of search result relevance benchmarks, see [Table I](#table-i-relevance-comparison-on-beir-benchmark-and-amazon-esci-in-terms-of-ndcg10-and-rank).
 
 ## Among sparse encoders, document-only encoders are the most efficient
 
@@ -77,7 +77,7 @@ Here are the key takeaways:
 
 The benchmarking results are presented in the following tables.
 
-### Table I. Relevance comparison on BEIR<sup>*</sup> benchmark and Amazon ESCI, in terms of NDCG@10 and rank
+### Table I. Relevance comparison on BEIR benchmark and Amazon ESCI in terms of NDCG@10 and rank
 
 <table>
     <tr style="text\-align:center;">
@@ -298,7 +298,7 @@ The benchmarking results are presented in the following tables.
     </tr>
 </table>
 
-<sup>*</sup> BEIR stands for Benchmarking Information Retrieval. For more information, see [the BEIR GitHub page](https://github.com/beir-cellar/beir).
+For more information about Benchmarking Information Retrieval (BEIR), see [the BEIR GitHub page](https://github.com/beir-cellar/beir).
 
 ### Table II. Speed comparison in terms of latency and throughput
 
@@ -461,13 +461,13 @@ Congratulations! You've now created your own semantic search engine based on spa
 The `neural_sparse` query supports two parameters:
 
 - `model_id` (String): The ID of the model that is used to generate tokens and weights from the query text. A sparse encoding model will expand the tokens from query text, while the tokenizer model will only tokenize the query text itself.
-- `max_token_score` (Float): An extra parameter required for performance optimization. Just like the OpenSearch `match` query, the `neural_sparse` query is transformed to a Lucene BooleanQuery, combining term-level subqueries using disjunction. The difference is that neural sparse query uses FeatureQuery instead of TermQuery to match the terms. Lucene employs the Weak AND (WAND) algorithm for dynamic pruning, which skips non-competitive tokens based on their score upper bounds. However, FeatureQuery uses `FLOAT.MAX_VALUE` as the score upper bound, which makes the WAND optimization ineffective. The `max_token_score` parameter resets the score upper bound for each token in a query, which is consistent with the original FeatureQuery. Thus, setting the value to 3.5 for the bi-encoder model and to 2 for the document-only model can accelerate search without precision loss. After OpenSearch is upgraded to Lucene version 9.8, this parameter will be deprecated.
+- `max_token_score` (Float): An extra parameter required for performance optimization. Just like a `match` query, a `neural_sparse` query is transformed to a Lucene BooleanQuery, combining term-level subqueries using disjunction. The difference is that a `neural_sparse` query uses FeatureQuery instead of TermQuery to match the terms. Lucene employs the Weak AND (WAND) algorithm for dynamic pruning, which skips non-competitive tokens based on their score upper bounds. However, FeatureQuery uses `FLOAT.MAX_VALUE` as the score upper bound, which makes the WAND optimization ineffective. The `max_token_score` parameter resets the score upper bound for each token in a query, which is consistent with the original FeatureQuery. Thus, setting the value to 3.5 for the bi-encoder model and to 2 for the document-only model can accelerate search without precision loss. After OpenSearch is upgraded to Lucene version 9.8, this parameter will be deprecated.
 
 ## Selecting a model
 
 OpenSearch provides several pretrained encoder models that you can use out of the box without fine-tuning. For a list of sparse encoding models provided by OpenSearch, see [Sparse encoding models](https://opensearch.org/docs/latest/ml-commons-plugin/pretrained-models/#sparse-encoding-models).
 
-Use the following recommendations to select a sparse encoder model:
+Use the following recommendations to select a sparse encoding model:
 
 - For **bi-encoder** mode, we recommend using the `opensearch-neural-sparse-encoding-v1` pretrained model. For this model, both online search and offline ingestion share the same model file. 
 

From e0973f47a8570f062f967f71f87c95b43c28e7d0 Mon Sep 17 00:00:00 2001
From: Fanit Kolchina <kolchfa@amazon.com>
Date: Fri, 8 Dec 2023 10:05:06 -0500
Subject: [PATCH 28/34] Add asterisk

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
---
 ...mproving-document-retrieval-with-sparse-semantic-encoders.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
index 7d145c7a66..427e83a7b2 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -298,7 +298,7 @@ The benchmarking results are presented in the following tables.
     </tr>
 </table>
 
-For more information about Benchmarking Information Retrieval (BEIR), see [the BEIR GitHub page](https://github.com/beir-cellar/beir).
+<sup>*</sup> For more information about Benchmarking Information Retrieval (BEIR), see [the BEIR GitHub page](https://github.com/beir-cellar/beir).
 
 ### Table II. Speed comparison in terms of latency and throughput
 

From 8c3ef2e2a505b6244e0884da75786ff7c72898c6 Mon Sep 17 00:00:00 2001
From: Fanit Kolchina <kolchfa@amazon.com>
Date: Fri, 8 Dec 2023 10:13:53 -0500
Subject: [PATCH 29/34] Change capacity to resource

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
---
 ...mproving-document-retrieval-with-sparse-semantic-encoders.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
index 427e83a7b2..d7afe795da 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -313,7 +313,7 @@ The benchmarking results are presented in the following tables.
 
 <sup>*</sup> We tested latency on a subset of MS MARCO v2 containing 1M documents in total. To obtain latency data, we used 20 clients to loop search requests.
 
-### Table III. Capacity consumption comparison
+### Table III. Resource consumption comparison
 
 |	|BM25	|Dense (with TAS-B model)	|Neural sparse search bi-encoder	| Neural sparse search document-only	|
 |-|-|-|-|-|

From 217d246b0c1e19b66452c0b1ae830df3c9e29f4c Mon Sep 17 00:00:00 2001
From: Fanit Kolchina <kolchfa@amazon.com>
Date: Fri, 8 Dec 2023 10:43:05 -0500
Subject: [PATCH 30/34] Make images same height and edit bios

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
---
 _authors/xinyual.markdown                                     | 2 +-
 _authors/yych.markdown                                        | 2 +-
 _authors/zhichaog.markdown                                    | 2 +-
 ...roving-document-retrieval-with-sparse-semantic-encoders.md | 4 ++--
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/_authors/xinyual.markdown b/_authors/xinyual.markdown
index ae87da0450..a749e6389c 100644
--- a/_authors/xinyual.markdown
+++ b/_authors/xinyual.markdown
@@ -5,4 +5,4 @@ photo: '/assets/media/authors/xinyual.jpg'
 github: xinyual
 ---
 
-**Xinyuan Lu** is a machine learning engineer with the OpenSearch project. He is working on large language model(LLM) related applications and search relevance.
\ No newline at end of file
+**Xinyuan Lu** is a machine learning engineer with the OpenSearch Project. He is working on large language model (LLM)-related applications and search relevance.
\ No newline at end of file
diff --git a/_authors/yych.markdown b/_authors/yych.markdown
index b13832fefe..964e3643d7 100644
--- a/_authors/yych.markdown
+++ b/_authors/yych.markdown
@@ -5,4 +5,4 @@ photo: '/assets/media/authors/yych.png'
 github: model-collapse
 ---
 
-**Charlie Yang** is an AWS engineering manager working on the OpenSearch Project. He is focusing on machine learning, search relevance and performance optimization.
\ No newline at end of file
+**Charlie Yang** is an AWS engineering manager working on the OpenSearch Project. He is focusing on machine learning, search relevance, and performance optimization.
\ No newline at end of file
diff --git a/_authors/zhichaog.markdown b/_authors/zhichaog.markdown
index d0e1c2e5dc..b5357cb89b 100644
--- a/_authors/zhichaog.markdown
+++ b/_authors/zhichaog.markdown
@@ -5,4 +5,4 @@ photo: '/assets/media/authors/zhichaog.png'
 github: zhichao-aws
 ---
 
-**Zhichao Geng** is a machine learning engineer working on OpenSearch. His interest is improving search relevance using machine learning.
\ No newline at end of file
+**Zhichao Geng** is a machine learning engineer working on the OpenSearch Project. His interests include improving search relevance using machine learning.
\ No newline at end of file
diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
index d7afe795da..2aab238340 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -28,10 +28,10 @@ The following images show example results of dense and sparse encoding.
 <table style="border:none">
   <tr>
     <td style="border:none">
-        <img height="100%" src="/assets/media/blog-images/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders/embedding.png" />
+        <img height="280px" src="/assets/media/blog-images/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders/embedding.png" />
     </td>
     <td style="border:none">
-        <img height="100%" src="/assets/media/blog-images/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders/expand.png" />
+        <img height="280px" src="/assets/media/blog-images/2023-12-05-improving-document-retrieval-with-spade-semantic-encoders/expand.png" />
     </td>
   </tr>
 </table>

From 8f499f360734abfde74cdb06cb1aeb83095ad9ed Mon Sep 17 00:00:00 2001
From: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>
Date: Fri, 8 Dec 2023 10:47:19 -0500
Subject: [PATCH 31/34] Update _authors/xinyual.markdown

Co-authored-by: Nathan Bower <nbower@amazon.com>
Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>
---
 _authors/xinyual.markdown | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_authors/xinyual.markdown b/_authors/xinyual.markdown
index a749e6389c..93c855a044 100644
--- a/_authors/xinyual.markdown
+++ b/_authors/xinyual.markdown
@@ -5,4 +5,4 @@ photo: '/assets/media/authors/xinyual.jpg'
 github: xinyual
 ---
 
-**Xinyuan Lu** is a machine learning engineer with the OpenSearch Project. He is working on large language model (LLM)-related applications and search relevance.
\ No newline at end of file
+**Xinyuan Lu** is a machine learning engineer with the OpenSearch Project. He works on large language model (LLM)-related applications and search relevance.
\ No newline at end of file

From e32981fc3ea689bd612093b1de5a113dda3b6fad Mon Sep 17 00:00:00 2001
From: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>
Date: Fri, 8 Dec 2023 10:47:34 -0500
Subject: [PATCH 32/34] Update _authors/yych.markdown

Co-authored-by: Nathan Bower <nbower@amazon.com>
Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>
---
 _authors/yych.markdown | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_authors/yych.markdown b/_authors/yych.markdown
index 964e3643d7..88734bdaf7 100644
--- a/_authors/yych.markdown
+++ b/_authors/yych.markdown
@@ -5,4 +5,4 @@ photo: '/assets/media/authors/yych.png'
 github: model-collapse
 ---
 
-**Charlie Yang** is an AWS engineering manager working on the OpenSearch Project. He is focusing on machine learning, search relevance, and performance optimization.
\ No newline at end of file
+**Charlie Yang** is an AWS engineering manager with the OpenSearch Project. He focuses on machine learning, search relevance, and performance optimization.
\ No newline at end of file

From 1af2c0ea09d38e38e5e8a1200d5b81fc030952ff Mon Sep 17 00:00:00 2001
From: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>
Date: Fri, 8 Dec 2023 10:47:45 -0500
Subject: [PATCH 33/34] Update _authors/zhichaog.markdown

Co-authored-by: Nathan Bower <nbower@amazon.com>
Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com>
---
 _authors/zhichaog.markdown | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_authors/zhichaog.markdown b/_authors/zhichaog.markdown
index b5357cb89b..d113861a4b 100644
--- a/_authors/zhichaog.markdown
+++ b/_authors/zhichaog.markdown
@@ -5,4 +5,4 @@ photo: '/assets/media/authors/zhichaog.png'
 github: zhichao-aws
 ---
 
-**Zhichao Geng** is a machine learning engineer working on the OpenSearch Project. His interests include improving search relevance using machine learning.
\ No newline at end of file
+**Zhichao Geng** is a machine learning engineer with the OpenSearch Project. His interests include improving search relevance using machine learning.
\ No newline at end of file

From ac4f8b180b7259311e00ecf30fcbedaefa6d6590 Mon Sep 17 00:00:00 2001
From: Fanit Kolchina <kolchfa@amazon.com>
Date: Fri, 8 Dec 2023 11:49:59 -0500
Subject: [PATCH 34/34] Format change

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
---
 ...mproving-document-retrieval-with-sparse-semantic-encoders.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
index 2aab238340..419ff26c12 100644
--- a/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
+++ b/_posts/2023-12-05-improving-document-retrieval-with-sparse-semantic-encoders.md
@@ -66,7 +66,7 @@ In bi-encoder mode, both documents and search queries are passed through deep en
 
 For benchmarking, we used a cluster containing 3 `r5.8xlarge` data nodes and 1 `r5.12xlarge` leader/machine learning (ML) node. We measured search relevance for all evaluated search methods in terms of NCDG@10. Additionally, we compared the runtime speed and the resource cost of each method.
 
-Here are the key takeaways:
+**Here are the key takeaways:**
 
 * Both modes provide the highest relevance on the BEIR and Amazon ESCI datasets.
 * Without online inference, the search latency of document-only mode is comparable to BM25.