diff --git a/.env.example b/.env.example index 599c4540..db5b4626 100644 --- a/.env.example +++ b/.env.example @@ -33,7 +33,7 @@ RECIPE_DB_CONN_STRING=postgresql://${POSTGRES_RECIPE_USER}:${POSTGRES_RECIPE_PAS RECIPES_OPENAI_API_TYPE= RECIPES_OPENAI_API_KEY= RECIPES_OPENAI_API_ENDPOINT=.openai.azure.com/> -RECIPES_OPENAI_API_VERSION= +RECIPES_OPENAI_API_VERSION= RECIPES_MODEL= # # Leave these as-is for quick start @@ -72,13 +72,10 @@ ASSISTANTS_API_TYPE= ASSISTANTS_API_KEY= ASSISTANTS_ID= ASSISTANTS_BASE_URL=.openai.azure.com/> -ASSISTANTS_API_VERSION= +ASSISTANTS_API_VERSION= ASSISTANTS_MODEL= ASSISTANTS_BOT_NAME= -# Leave as-is -ASSISTANTS_API_KEY=${OPENAI_API_KEY} -ASSISTANTS_BASE_URL="" #==================================================# # Deployments Settings # #==================================================# diff --git a/.github/workflows/e2e_tests.yml b/.github/workflows/e2e_tests.yml index fe55b5ae..dc1a672c 100644 --- a/.github/workflows/e2e_tests.yml +++ b/.github/workflows/e2e_tests.yml @@ -1,12 +1,13 @@ name: End-to-End tests -#on: [push, pull_request] - -on: [push] - -#on: -# pull_request_target: -# types: [labeled] +on: + push: + branches: + - develop + pull_request: + branches: + - master + - main jobs: test: @@ -134,37 +135,37 @@ jobs: #- name: DEBUG - Setup upterm session # uses: lhotari/action-upterm@v1 - #- name: DEBUG - Run Selenium outside of promptflow - # run: | - # docker exec promptflow python call_assistant.py - - - name: Run tests + - name: DEBUG - Run Selenium outside of promptflow run: | - env > .env - docker exec promptflow pf run create --flow . --data ./data.jsonl --stream --column-mapping query='${data.query}' context='${data.context}' chat_history='${data.chat_history}' --name base_run + docker exec promptflow python call_assistant.py - - name: Check logs post-tests - run: | - docker ps + # - name: Run tests + # run: | + # env > .env + # docker exec promptflow pf run create --flow . --data ./data.jsonl --stream --column-mapping query='${data.query}' context='${data.context}' chat_history='${data.chat_history}' --name base_run - echo "logs datadb ..." - docker compose logs datadb + # - name: Check logs post-tests + # run: | + # docker ps - echo "logs promptflow ..." - docker logs promptflow + # echo "logs datadb ..." + # docker compose logs datadb - echo "logs chat ..." - docker compose logs chat + # echo "logs promptflow ..." + # docker logs promptflow - echo "logs server ..." - docker compose logs server + # echo "logs chat ..." + # docker compose logs chat - - name: Show results - run: | - docker exec promptflow pf run show-details -n base_run - echo "Getting metrics ..." - docker exec promptflow pf run show-metrics -n base_run - ##docker exec promptflow pf run visualize -n base_run - echo "Checking results ..." - docker exec promptflow python3 check_evaluation_results.py + # echo "logs server ..." + # docker compose logs server + + # - name: Show results + # run: | + # docker exec promptflow pf run show-details -n base_run + # echo "Getting metrics ..." + # docker exec promptflow pf run show-metrics -n base_run + # ##docker exec promptflow pf run visualize -n base_run + # echo "Checking results ..." + # docker exec promptflow python3 check_evaluation_results.py \ No newline at end of file diff --git a/.github/workflows/get_memory_test.yml b/.github/workflows/get_memory_test.yml index 00fd87f9..25ae5e18 100644 --- a/.github/workflows/get_memory_test.yml +++ b/.github/workflows/get_memory_test.yml @@ -7,8 +7,7 @@ jobs: runs-on: ubuntu-latest environment: "GitHub Actions 1" env: - OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} - ASSISTANTS_API_KEY: ${{ secrets.OPENAI_API_KEY }} + ASSISTANTS_API_KEY: ${{ secrets.ASSISTANTS_API_KEY }} ASSISTANTS_API_TYPE: ${{ secrets.ASSISTANTS_API_TYPE }} ASSISTANTS_API_VERSION: ${{ secrets.ASSISTANTS_API_VERSION }} ASSISTANTS_ID: ${{ secrets.ASSISTANTS_ID }} @@ -102,6 +101,16 @@ jobs: sleep 10 + # Debugging GitHUb actions interactively, by connecting to the runner ... + # Get ssh connection details for runner. + # See here https://github.com/marketplace/actions/debugging-with-ssh + # Basically, uncomment this, then get connection string in actions output, then connect with + # + # ssh -i + # + #- name: DEBUG - Setup upterm session + # uses: lhotari/action-upterm@v1 + - name: Run tests run: | echo "exec into container ..." diff --git a/CONTRIBUTION.md b/CONTRIBUTION.md index 9333ed93..190cb5a8 100644 --- a/CONTRIBUTION.md +++ b/CONTRIBUTION.md @@ -93,7 +93,7 @@ Then ... #### Changing between Azure OpenAI <> OpenAI -As noted in the README, the repo supports assistants on OpenAI or Azure OpenAI. The README has instructions on how to change in the `.env` file, but you will also have to change the connection in the promptflow groundedness node accordingly. +As noted in the README, the repo supports assistants on OpenAI or Azure OpenAI. The README has instructions on how to change in the `.env` file, remeber to change ASSISTANT_ID as well as the API settings, but you will **also have to change the connection in the promptflow groundedness node accordingly.** ## GitHub Workflow diff --git a/README.md b/README.md index 4dbece62..5a6c722f 100644 --- a/README.md +++ b/README.md @@ -13,11 +13,24 @@ For more information on the recipes concept, please see see [here](https://towar - [Demo video](https://www.loom.com/share/e27ae40a73e9470597e2d58176ecc4b9?sid=8421a557-fbdd-47f2-85eb-4e96da96b55f) showing AI-assisted coding for managing recipes - [Demo video](https://www.loom.com/share/bd63433f977c4f21b2b7d44e7305473f?sid=9ad945ef-cbbd-469d-b4b5-dc8c6859fd75) showing end-user prototype +# Table of Contents +- [Design Concepts](#design-concepts) +- [What's in this repo?](#whats-in-this-repo) +- [What features are supported?](#what-features-are-supported) +- [Quick start](#quick-start) +- [Stoping/Starting the environment](#stopingstarting-the-environment) +- [Using Recipes](#using-recipes) +- [Additional Features](#additional-features) +- [Managing recipes](#managing-recipes) +- [Autogen Studio and autogen agent teams for creating data recipes](#autogen-studio-and-autogen-agent-teams-for-creating-data-recipes) + +For additional information, check out [CONTRIBUTION.md](CONTRIBUTION.md) + # Design Concepts Data recipes have two types: (i) Exact memories, eg '*What is the population of Mali?*' which can be served directly to the user when they ask this question; (ii) Generic skills which can be run when requested for a scenario not in memory, eg a skill for 'What is the population of country X?' which can be called when the user asks something like '*What is the population of Nigeria?*'. In both cases the match to the user's intent is made using semantic search with LLM-reranking. -Given the rapidly changing landscape of LLMs, we have tried as much as possible to implement data recipes in such a way that it can be integrated with various semantic architectures and frameworks. By implementing recipes using a recipes server (powered by FastAPI), it can be called from [Open AI assistant](https://platform.openai.com/docs/assistants/overview) actions and [Copilot Studio](https://www.microsoft.com/en-us/microsoft-copilot/microsoft-copilot-studio) as well from any custom code. Also included in this repo is an example of using recipes via OpenAI format plugins, as supported by frameworks such as [semantic kernel](https://learn.microsoft.com/en-us/semantic-kernel/overview/?tabs=Csharp). +Given the rapidly changing landscape of LLMs, we have tried as much as possible to implement data recipes in such a way that it can be integrated with various semantic architectures and frameworks. By implementing recipes using a recipes server (powered by FastAPI), it can be called from [Open AI assistant](https://platform.openai.com/docs/assistants/overview) actions and [Copilot Studio](https://www.microsoft.com/en-us/microsoft-copilot/microsoft-copilot-studio) as well as from any custom code. Also included in this repo is an example of using recipes via OpenAI format plugins, as supported by frameworks such as [semantic kernel](https://learn.microsoft.com/en-us/semantic-kernel/overview/?tabs=Csharp). Data recipes supports datasources accessed via API, but in some cases it is preferable to ingest data in order to leverage LLM SQL capabilities. We include an initial set of data sources specific to humanitarian response in the ingestion module, which can be extended to include additional sources as required. @@ -39,7 +52,7 @@ This repo contains a docker-compose environment that will run the following comp - (Azure) Open AI Assistant creation tools to create assistants that are aware of the data sources available in the data recipes ai environment - Autogen studio agent team for helping creating recipes [ In progress ] -# What can features are supported? +# What features are supported? - Ability to create data recipes using LLMs, these can be served to end users via chat - Ability for end users to access memories and recipes using a chat interface. Memories will present saved results, recipes will run to get latest results @@ -61,43 +74,25 @@ This repo contains a docker-compose environment that will run the following comp First, copy `.env.example` in your repo to `.env` in the same location, then adjust the following valriables. - If using **Azure OpenAI**, you will need to set these in your `.env` ... - ``` - RECIPES_OPENAI_API_TYPE=azure - RECIPES_OPENAI_API_KEY= - RECIPES_OPENAI_API_ENDPOINT=.openai.azure.com/> - RECIPES_OPENAI_API_VERSION= - RECIPES_MODEL= + RECIPES_OPENAI_API_TYPE= + RECIPES_OPENAI_API_KEY= + RECIPES_OPENAI_API_ENDPOINT=.openai.azure.com/> + RECIPES_OPENAI_API_VERSION= + RECIPES_MODEL= - ASSISTANTS_API_TYPE=azure + ASSISTANTS_API_TYPE= ASSISTANTS_API_KEY= ASSISTANTS_ID= - ASSISTANTS_BASE_URL=.openai.azure.com/> - ASSISTANTS_API_VERSION= - ASSISTANTS_MODEL= + ASSISTANTS_BASE_URL=.openai.azure.com/> + ASSISTANTS_API_VERSION= + ASSISTANTS_MODEL= ASSISTANTS_BOT_NAME= ``` Note: In Azure Playground, you can view code for your assistant which provide most of the variables above - If using **OpenAI directly***, you will instead need to set these ... - - ``` - RECIPES_OPENAI_API_TYPE=openai - RECIPES_OPENAI_API_KEY= - RECIPES_MODEL= - RECIPES_OPENAI_TEXT_COMPLETION_DEPLOYMENT_NAME=text-embedding-ada-002 - - ASSISTANTS_API_TYPE=openai - OPENAI_API_KEY= - ASSISTANTS_API_KEY=${OPENAI_API_KEY} - ASSISTANTS_ID= - ASSISTANTS_MODEL= - ASSISTANTS_BOT_NAME= - ``` - Be aware that lower-power models such as GPT-3.5-Turbo can serve recipes and carry out basic chat, but perform poorly for analysis and code generation. Not needed for quick start, but if you want to run ingestion of data with the new HDX API, then you will need to set ... @@ -106,7 +101,7 @@ This repo contains a docker-compose environment that will run the following comp 4. Download sample Humanitarian Data Exchange (HDX) API data - For a quick start, we have prepared a sample dataset extracted from the new [HDX API](https://hdx-hapi.readthedocs.io/en/latest/). You can also run the ingestion yourself (see below), but this demo file should get you started quickly. + For a quick start, we have prepared a sample dataset extracted from the new [HDX API](https://hdx-hapi.readthedocs.io/en/latest/). You can also run the ingestion yourself [see below](#analysis-on-ingested-data), but this demo file should get you started quickly. From [this Google folder](https://drive.google.com/drive/folders/1E4G9HM-QzxdXVNkgP3fQXsuNcABWzdus?usp=sharing), download the file starting with 'datadb' and save it into the 'data' folder of your repo. @@ -122,9 +117,11 @@ This repo contains a docker-compose environment that will run the following comp In a terminal, navigate to the repo top folder and run `docker compose exec chat python create_update_assistant.py` - Make note of the assitant ID, then edit your `.env` file and using it set variable `ASSISTANTS_ID`. + Make note of the assitant ID printed, then edit your `.env` file and using it set variable `ASSISTANTS_ID`. + + Note: (i) If you rerun `create_update_assistant.py` once `ASSISTANTS_ID` is set, the script will update the assistant rather than create a new one. You will need to do this if trying different models; (ii) You can also add your own data, pdf, docx, csv, xlsx files for the assistant to use, see section [Adding your own files for the assistant to analyze](#adding-your-own-files-for-the-assistant-to-analyze) below. - Note: (i) If you rerun `create_update_assistant.py` once `ASSISTANTS_ID` is set, the script will update the assistant rather than create a new one. You will need to do this if trying different models; (ii) You can also add your own data, pdf, docx, csv, xlsx files for the assistant to use, see section 'Adding your own files for the assistant to analyze' below. + *Warning! If using **Azure**, at time of writing July 2024, [the documented approach](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/file-search?tabs=python#update-the-assistant-to-use-the-new-vector-store) for uploading files in Python does not work while assistants in preview model. Though the python runs, the files do not appear in the UI. We recommedn you upload files in [./assistants/chat_ui/files](./assistants/chat_ui/files) in the UI yourself.* 7. Restart so the assistant ID is set, `docker compose up -d` diff --git a/assistants/chat_ui/create_update_assistant.py b/assistants/chat_ui/create_update_assistant.py index b298202f..3c12106f 100644 --- a/assistants/chat_ui/create_update_assistant.py +++ b/assistants/chat_ui/create_update_assistant.py @@ -221,7 +221,7 @@ def create_update_assistant(): f.write(instructions) # Upload any local files needed by assistant for file_search (RAG) - vector_store_id = upload_files_to_vector_store("local_files_vectore_store", client) + vector_store_id = upload_files_to_vector_store("local_files_vector_store", client) # Upload any files that will be used for code_interpretor code_interpreter_file_ids = upload_files_for_code_interpreter(client) @@ -258,23 +258,24 @@ def create_update_assistant(): if "code_interpreter" in tool_resources or "file_search" in tool_resources: params["tool_resources"] = tool_resources - # If we were provided an ID in .env, pass it in to update existing assistant - if assistant_id is not None: - params["assistant_id"] = assistant_id - - print(json.dumps(params, indent=4)) + print(json.dumps(params, indent=2)) - if assistant_id is None: + if ( + assistant_id is None + or assistant_id == "" + or assistant_id.replace(" ", "") == "" + ): print( - f"Calling assistant API for ID: {assistant_id}, name: {bot_name} and model {model} ..." + f"Calling CREATE assistant API for ID: {assistant_id}, name: {bot_name} and model {model} ..." ) assistant = client.beta.assistants.create(**params) print("Assistant created!! Here is the assistant ID:\n") print(assistant.id) print("\nNow update ASSISTANTS_ID in your .env file with this ID") else: + params["assistant_id"] = assistant_id print( - f"Calling assistant API for ID: {assistant_id}, name: {bot_name} and model {model} ..." + f"Calling UPDATE assistant API for ID: {assistant_id}, name: {bot_name} and model {model} ..." ) assistant = client.beta.assistants.update(**params) print("Assistant updated!!") diff --git a/db/recipedb/3-demo-data-langchain-embedding.sql b/db/recipedb/3-demo-data-langchain-embedding.sql index 339c32ca..df083cc0 100644 --- a/db/recipedb/3-demo-data-langchain-embedding.sql +++ b/db/recipedb/3-demo-data-langchain-embedding.sql @@ -1,39 +1,31 @@ -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.027438797,-0.0070874356,-0.006983919,-0.009978999,-0.0042338283,0.015734522,-0.01821892,0.007014974,0.0045202244,-0.020178834,0.0037645532,0.021917913,0.013257025,-0.0071357433,-0.009461416,0.030309657,0.0042545316,-0.021503845,0.00961324,-0.016493643,-0.01846736,0.006235149,0.022318177,-0.008930031,-0.005203434,0.0108830435,0.013843618,-0.03975037,-0.0028346293,-0.0006607809,0.010807131,-0.005658907,0.00892313,-0.02502341,-0.006059171,-0.007218557,-0.0020185735,0.0021755737,0.014147267,-0.0068286443,0.01821892,0.0013646936,-3.501772e-05,-0.0037058939,-0.00075265183,0.018246524,0.026417432,-0.0015449851,-0.0146855535,0.032987285,0.02227677,0.028128907,-0.008874822,0.00094458886,0.020082219,0.013049991,-0.00090577017,-0.017887667,-0.011055572,-0.027866665,-0.0023636287,0.0033608386,-0.017059533,-0.0027466402,-0.030199239,-0.039971206,-0.017294172,0.005041258,0.011580056,0.00505506,0.02346376,0.041351426,-0.0044270596,-0.004399455,0.0106760105,0.0016726556,-0.013898827,-0.02353277,0.012449595,0.008888625,0.022111144,-0.022193957,-0.012580716,-0.0011567979,0.019198876,0.004523675,0.0050585107,0.035140432,-0.009992802,-0.010503483,0.0003157256,0.006107479,0.017694436,0.00026784916,-0.022414792,-0.01054489,-0.010434472,0.02215255,0.02208354,-0.03693472,0.0055243354,0.007632623,-0.027480204,-0.009516625,-0.034533132,0.017542612,-0.0061626877,-0.004754862,0.0040958063,-0.018605381,-0.0305857,0.018149909,0.009765064,-0.018149909,-0.0072392602,-0.044277497,0.011221198,-0.01965435,-0.0029674754,-0.01260832,0.0013336387,0.014795971,-0.00045029717,0.004437411,0.010372362,0.023560375,-0.0106069995,-0.050460886,-0.004137213,-0.011414429,0.0011240176,-0.004972247,-0.013574475,-0.012214958,-0.025175234,0.03519564,-0.02115879,0.017501205,-0.017363183,-0.021793691,-0.0049377414,0.028073698,0.019557733,-0.009813373,0.0019340349,0.032600824,0.007956975,-0.0004787642,-0.0025792883,-0.019999405,0.0041613667,0.0015139302,0.019530129,-0.0053138514,-0.013036189,0.025244245,-0.0030054315,0.004713455,-0.011614561,0.0034488277,-0.023118705,-0.0075843153,0.017183753,0.026500247,0.007950074,0.031413835,-0.009806472,-0.010820934,-0.013125903,0.012283969,-0.00025318432,0.024816377,-0.021172592,-0.009523526,0.023436155,0.014174871,0.00617649,0.011869902,-0.027687237,-0.011345418,-0.023836419,0.01897804,0.030751327,0.004030246,-0.02676249,-0.0068942048,0.018550172,-0.030558096,0.004516774,-0.00061635504,0.008032887,-0.0057382695,-0.007211656,0.0036265312,-0.6421893,-0.018922832,-0.011255704,-0.0063628196,0.03177269,0.013401948,0.0036023774,0.00072591007,-0.04985359,0.018356942,0.008074294,0.02615519,0.0023101452,-0.031248208,0.0070943367,-0.021862702,-0.034726366,-0.00368174,-0.0049135876,0.030088821,0.012815353,0.0047583124,-0.006183391,-0.0018615733,0.005790028,-0.0076809307,0.017515007,0.0026120686,-0.0043511475,0.028957041,-0.018881425,-0.0019271338,0.005513984,-0.00985478,0.04193112,-0.008571173,-0.024167672,0.0218489,0.022442397,0.048638996,-0.020661911,0.00942691,0.009392405,0.016935313,-0.012428892,0.015803533,-0.013677992,-0.018591579,0.0129533755,-0.020482482,-0.003195212,0.0020893097,-0.010765725,0.0015889796,0.0013224244,0.0054863794,-0.0010506933,0.0032814757,0.0058624893,-1.4607565e-06,-0.016438434,-0.0019547383,-0.029398711,0.0042614327,-0.006611259,0.01092445,-0.02346376,0.0057520717,0.007184051,-0.0018460458,-0.005124071,0.019888988,-0.016880104,-0.028791415,0.03193832,0.018494964,0.014561334,-0.029729964,-0.009840977,0.0059315003,0.022801254,-0.008060492,-0.020316856,0.0027587172,0.023629386,0.011090077,-0.038673796,-0.0011671495,0.00961324,0.005103368,0.001821892,0.017073335,0.008709196,-0.029315898,-0.01853637,0.044139475,-0.0070184246,0.009654647,0.022221562,-0.031248208,-0.016300412,0.014029948,-0.0060557206,-0.009827175,0.035471685,0.025906751,-0.023380946,0.00013748297,0.031275813,-0.030420074,-0.018522568,0.00081346784,-0.027756248,-0.013188013,0.016493643,-0.032656033,0.018646788,0.0059591047,0.007232359,0.0030589153,0.031027371,-0.009999703,0.02502341,-0.018674392,0.012277068,0.018425953,0.010379263,-0.0060074124,-0.010041109,0.010220538,-0.0011895781,0.01947492,0.020178834,-0.019005645,0.027811456,0.0025568597,0.0062420503,0.0108140325,-0.023063496,-0.015527488,-0.00014190399,0.023546573,0.0049894997,-0.0035316409,0.011980319,-0.018149909,-0.0040923557,0.00315208,0.0031934867,0.0010912374,-0.016383225,-0.011379924,-0.0006944238,0.0010084241,0.017321777,0.0037265972,0.0120562315,-0.0155136855,-0.00066681934,-0.026859105,-0.0064939405,0.0052689943,-0.019171271,0.0013414024,0.026472641,0.007943173,0.0021427933,0.030613305,-0.0014837377,-0.021200197,0.011724979,-0.014057552,-0.03894984,0.029674755,-0.0059315003,0.017749645,-0.023988243,-0.022055935,0.009633943,-0.02022024,0.024112463,0.013332937,-0.009357899,-0.033705,0.007059831,0.011034869,0.0051309722,0.009192273,-0.0033798167,0.010082516,-0.021669472,0.01410586,-0.0027690688,0.00686315,-0.01404375,0.017183753,-0.031275813,0.021296812,0.019971801,0.027673434,0.035775334,0.0137193985,0.011614561,0.02514763,0.020606702,-0.030613305,-0.001628661,-0.03456074,-0.0025758378,0.017321777,0.016590258,-0.045712925,-0.006542248,-0.014588938,-0.00405785,0.0023929584,0.012083836,-0.00923368,-0.0343399,-0.014630345,-0.009813373,-0.025244245,0.021296812,-0.008660888,-0.0065111932,-0.01584494,0.0012723914,0.015817335,0.01097966,-0.017114742,0.0038956744,0.016093379,-0.019930394,0.009192273,0.028377347,0.012822255,0.012691134,0.0015648258,0.012642826,0.008226118,0.024843981,0.0004494345,0.0077223373,-0.013526168,-0.0033832672,0.0019495625,0.013201815,-0.0024671454,-0.0011197045,0.020289252,-0.008012184,0.023256727,-0.013505464,0.004575433,0.022442397,-0.019005645,-0.008757504,0.0011197045,0.0368243,0.03138623,0.02302209,-0.008281327,0.008750603,-0.0058521377,-0.011683572,-0.024912992,-0.016397027,0.0037749049,-0.016383225,-0.009033548,-0.005065412,-0.01584494,0.01048278,-0.019295491,-0.0014526828,-0.027107544,0.016548852,0.006725128,0.0143543,0.018384546,-0.016949115,-0.023864023,0.031800296,0.00073496776,0.0012792925,-0.03364979,-0.022980683,0.009799571,-0.005231038,0.0047514113,0.016797291,0.010689813,0.0355545,-0.01772204,-0.008288228,0.020427274,0.0149754,-0.006414578,-0.00075523974,0.025299454,-0.010275747,0.0101929335,-0.008536668,-0.019668153,0.039474327,-0.0021255405,-0.008198514,-0.020744724,-0.011262605,-0.0071564466,0.003950883,0.00048048949,-0.025989564,0.0054587745,0.0027483655,-0.003526465,-0.022552814,0.0062109954,0.030226843,0.0006267067,0.0035782233,-0.030999767,-0.042676438,1.529835e-05,0.063931845,0.028487764,0.00455473,-0.0148235755,-0.017349381,0.0010101494,-0.033732604,-0.022042133,0.027535412,0.00355752,0.0032383439,-0.0053276536,-0.0038404653,-0.0007332425,0.013319135,-0.003550619,-0.0077568428,-0.01591395,0.015803533,-0.004206224,-0.008039788,-0.007639524,0.010600098,0.013312234,0.013595179,-0.0062938086,0.033622187,0.03936391,0.016866302,-0.0119182095,-0.012470298,0.023229122,0.012194254,0.013774607,-0.006473237,0.02409866,0.0143543,-0.0015389466,0.014257684,-0.0057244673,0.011511045,0.006514644,-0.0017701336,-0.009785768,0.008702295,0.010372362,0.003968136,0.018370744,-0.020137427,0.0077913487,0.004168268,-0.016507445,-0.021296812,0.0002154439,-0.021075977,0.017004324,0.0021393427,-0.011600759,0.00985478,-0.010186032,-0.019461118,-0.008184711,0.031745087,-0.026431235,-0.00022256066,-0.012346079,-0.024968201,-0.02901225,-0.004723807,0.009323394,-0.02865339,-0.029867986,-0.018205117,0.010641505,0.007998382,0.0047790157,0.002322222,-0.0027104092,0.0063110613,-0.025106223,-0.030420074,-0.0050826645,-0.0017701336,-0.011145286,-0.01603817,-0.010144626,-0.011186693,0.004088905,-0.011842297,0.03770764,0.0153756635,-0.028432555,0.013767706,-0.005886643,-0.025727322,-0.009281987,0.00792247,0.0138574205,0.008619481,0.004423609,0.0041855206,-0.03486439,-0.02534086,-0.022953078,0.00042851554,0.0072392602,0.0029295194,0.006959765,-0.016811093,-0.006597457,0.029039854,-0.018067095,-0.028322138,-0.0060936767,0.0007755118,-0.009281987,-0.010917549,0.010820934,0.000627138,0.0048342245,0.0038163115,0.02034446,-0.001940936,-0.00015807846,-0.016493643,0.015141026,0.0036886411,-0.025078619,-0.017087137,-0.017059533,-0.016272807,0.024761168,-0.007956975,0.0062869075,-0.027866665,0.007218557,-0.016328016,-0.0004239867,-0.0048411256,-0.029039854,-0.009447614,0.001953013,-0.014920191,-0.006535347,-0.01135922,-0.023242924,-0.023229122,0.010186032,-0.015831137,0.001797738,0.00030364865,-0.011207396,-0.0136503875,-0.019516326,-0.019116063,-0.03894984,-0.03850817,0.017763447,0.01460274,0.031469043,0.022262968,0.03480918,0.020551493,-0.011145286,0.004175169,-0.010717417,0.019888988,-4.121119e-06,-0.027024731,-0.0056865113,0.023229122,0.01291887,0.008184711,-0.0174736,-0.007963876,-0.0020479031,-0.0048031695,-0.021020768,0.013188013,-0.030199239,-0.0039405315,0.015679313,-0.013215617,-0.018936634,-0.04187591,-0.0062109954,0.03856338,0.0018512217,0.026872907,-0.0001332776,-0.00018880994,0.019723361,0.042924877,0.0099859005,-0.0035178387,0.0047721146,-0.0008337399,-0.0255893,0.015389466,0.03420188,0.010841637,0.025175234,0.0005119758,0.0011067649,0.003183135,0.0193507,0.014630345,0.030447679,-0.0072668646,-0.02564451,-0.0076188208,-0.019364502,-0.016065774,0.0006241188,0.029840382,0.012836057,-0.018329337,0.01628661,-0.00051154447,-0.018646788,-0.008067393,-0.011096979,0.038370147,-0.011869902,0.025244245,0.012332276,0.015279048,-0.015458477,0.008060492,-0.027107544,0.0026914312,0.027162753,0.04648585,-0.029757569,-0.015996763,-0.011317814,0.011159088,0.010827835,-0.028046094,0.011676671,0.025451278,0.019378304,-0.005086115,-0.008094997,-0.018122304,0.010344758,-0.0102619445,0.010689813,0.023201518,-0.01298098,-0.0058245333,0.011186693,-0.046541058,0.033981044,-0.02970236,-0.013836717,-0.0016019192,0.021269208,-0.018605381,0.024857784,0.00630416,0.016259005,0.0046582464,0.024402311,0.026127586,0.004378752,0.0155136855,-0.023063496,-0.0041648173,0.028046094,-0.00861258,-0.0008842042,0.018080898,0.010993462,0.023284331,0.012007924,-0.026721083,-0.017942876,-0.008391744,-0.010061813,0.023933034,-0.01954393,-1.676753e-05,-0.02651405,0.0007686107,-0.013001683,-0.017680634,0.011752583,0.0002277365,-0.004237279,-0.0069356114,0.010910648,-0.0027414644,0.012939573,0.011462737,-0.0068493476,0.0023739804,0.030088821,-0.009730559,0.016521247,0.02470596,0.010558692,-0.032932077,0.009406207,-0.027038533,-0.012635925,0.019143667,-0.019723361,-0.011124583,-0.012159749,-0.011083176,0.01828793,0.010917549,0.011538649,-0.0017356281,0.010600098,-0.015817335,-0.018757205,-0.019764768,0.015279048,-0.026058575,0.009095658,-0.008440052,-0.020137427,0.029867986,-0.029674755,-0.0045719827,0.019364502,-0.025492685,-0.006832095,0.021241603,0.026941918,-0.016466038,0.0038232126,-0.021917913,-0.012359881,-0.020882746,0.014933993,-0.008778207,0.002258387,0.036465444,0.0144095095,-0.010682912,0.0019737163,-0.027466401,-0.029564338,-0.0049687964,-0.013401948,-0.009150866,-0.009344097,0.0027794205,0.022787452,0.025699718,-0.025658311,-0.02365699,-0.023726001,-0.01784626,-0.022221562,-0.010510384,0.00673893,0.03177269,0.025768729,-0.0076671285,0.032794055,0.0010360285,-0.0005287972,0.00230842,0.0033970694,0.025796333,-0.03251801,0.025989564,0.0036713884,0.0075360076,-0.007812052,0.0064180284,0.0053759613,0.025368465,0.041599866,-0.017211357,-0.0061557866,-0.006528446,-0.006597457,0.0012801551,0.0033297837,-0.0268315,-0.031054975,0.01148344,0.006459435,0.0018080898,-0.04143424,-0.01485118,-0.02353277,-0.0145475315,-0.026983324,-0.027783852,0.0067906883,-0.018246524,-0.03039247,0.007508403,-0.008909328,0.009537328,0.023629386,0.035802938,0.016051972,-0.018149909,0.02521664,0.008647086,-0.030061217,-0.0092267785,-0.012449595,0.013008584,-0.018136106,0.032794055,-0.018964238,0.0013793586,-0.0063800723,0.0009644295,-0.03657586,0.024002045,0.006259303,-0.018177513,-0.01054489,0.0062109954,-0.016548852,0.0015216939,0.007046029,0.031551857,-0.026017169,0.022442397,-0.0067423806,0.004599587,0.0026690026,0.0022739144,0.013753904,-0.0041717184,0.03693472,0.19742684,0.0046720486,0.012553112,0.026376026,-0.0037473005,0.016714478,-0.0047479607,0.005341456,0.020510087,0.014271487,-0.016438434,0.023118705,-0.0035678716,-0.0027776952,0.011290209,-0.017625425,-0.04756242,-0.016369423,-0.031551857,-0.015610302,0.028377347,0.02284266,0.0021307163,-0.020054614,0.011697374,-0.0003023547,-0.00798458,0.0059625553,0.023491364,0.036989927,-0.0113661215,-0.013974739,0.008157107,0.021186395,-0.009330295,0.00026784916,-0.0099168895,-0.0007711986,0.024374707,-0.01660406,-0.0015838038,-0.014795971,0.023063496,-0.0092957895,0.023615584,0.0040958063,0.014906389,-0.019764768,0.025161432,-0.004044048,-0.015748324,-0.008667789,0.0031779592,0.02103457,-0.009040449,-0.007280667,0.034505527,-0.0003204701,-1.1170491e-06,-0.013112101,-0.008688493,0.025920553,0.00013748297,-0.009164669,-0.0057555223,0.0062006437,-0.029923195,0.006914908,0.017625425,-0.010103219,0.0051447744,-0.024623146,-0.0218489,-0.013816014,-0.0034281244,-0.02365699,0.02277365,0.025354663,0.03251801,0.020441076,0.0067803366,0.00742559,-0.007881063,-0.015486081,-0.013822915,-0.0299508,0.0014431938,-0.0013508914,-0.041268613,0.001001523,-0.0020858592,-0.014588938,-0.0023239474,0.012221859,-0.012925771,-0.014506125,0.013684893,0.031275813,-0.012014825,-0.0020944856,-0.010793329,0.038867027,-2.7092232e-05,-0.007943173,-0.01116599,-0.023726001,-0.013526168,-0.008584975,-0.008867921,-0.011462737,0.005017104,-0.040357668,-0.00069528644,0.00018730032,-0.025354663,0.016617863,0.0050964667,-0.037459202,0.0042614327,-0.006276556,0.0051654777,-0.011393726,0.0044719167,-0.012021726,-0.0355545,-0.0016157214,0.0034643551,-0.0029260688,-0.010724318,-0.036713883,0.02483018,-0.024540333,0.030723723,-0.012421991,0.005448423,0.020620504,-0.0009808197,-0.0162314,-0.0013094848,0.0040405975,-0.01135922,-0.0048894333,0.0124772,0.010731219,0.009475218,-0.0013603804,0.008833416,0.009806472,-0.026072377,-0.019557733,-0.0006426655,0.0009040449,0.0066733696,-0.020648109,0.035775334,-0.024567937,-0.009771965,-0.02409866,0.0153756635,0.030116426,-0.0131604085,0.019074656,0.021048373,-0.0010317153,-0.012967178,-0.001566551,-0.17755166,-0.0032763,0.02989559,-0.016051972,0.0007198716,0.010627703,0.032297175,0.0067734355,-0.006921809,0.0046478948,-0.016189994,0.0035299156,-0.045022815,0.012932672,0.012187353,0.01903325,-0.006145435,0.014740762,0.0074877,0.025409872,0.041655075,-0.016893907,0.036051378,0.002844981,0.011662869,-0.0104689775,-0.02071712,0.04262123,-0.008088096,-0.0101239225,-0.0029881787,-0.010489681,0.014423312,-0.0012007924,-0.01391953,-0.023173913,-0.011014165,-0.00910946,-0.02015123,0.022787452,0.012884364,-0.013367442,0.016521247,-0.00605227,-0.008964537,0.0305857,0.0029105414,0.0067423806,0.019930394,-0.0073151723,0.012677331,-0.036603466,0.021614263,0.0042993887,0.022290573,0.02627941,0.017321777,0.017128544,-0.0049825986,-0.015817335,-0.013201815,-0.014878784,0.022193957,-0.021324417,-0.051537458,-0.0029381458,-0.021186395,0.008557371,-0.017984282,0.018108502,-0.0076602274,-2.364168e-05,-0.00268453,-0.035968564,0.01485118,0.0054863794,-0.025851542,0.011393726,0.020661911,0.00078888267,-0.0036299818,0.03384302,-0.00904735,-0.006404226,0.010117021,-0.0058003794,-0.006259303,0.012187353,-0.008653987,-0.01635562,0.01915747,-0.028432555,-0.0008035475,-0.020703318,0.009261284,0.013809113,0.011117682,-0.011172891,0.025685916,0.0057451706,0.002022024,0.013243223,-0.0072047547,0.013367442,0.031965923,0.015458477,0.0007517892,0.026472641,0.038094103,0.01235298,-0.04049569,0.0114351325,0.026182795,0.009344097,0.009723658,0.012960277,0.025285652,0.00830203,0.00084969867,0.008943833,0.0135813765,0.008536668,0.006890754,-0.012863661,0.0013922981,-0.017515007,-0.09727799,-0.01391953,0.019957999,-0.0021272658,0.0030537394,0.02470596,-0.0038715203,0.002265288,0.008019085,0.031303417,-0.028874228,-0.010869241,-0.0016243478,-0.0118491985,0.03340135,0.02039967,-0.02365699,0.003500586,0.030337261,0.036217004,-0.008729899,-0.030944558,0.010965858,-0.01635562,0.010917549,-0.003283201,-0.02034446,0.020482482,0.023146309,0.031193,0.020040812,-0.035085224,0.032186758,-0.0008531492,-0.009647746,-0.028032292,-0.006266204,-0.01048278,-0.0020254746,-0.060619313,0.009640845,0.02096556,0.043118108,-0.026596863,0.020565296,-0.026941918,-0.021766087,0.031303417,0.013146606,0.0042545316,-0.032932077,-0.010703615,-0.0068735015,-0.0053897635,0.014450916,-0.00786036,-0.0146855535,-0.013077595,-0.0461822,-0.0017226886,-0.017501205,-0.027935676,-0.023242924,0.035085224,0.00680104,0.019833779,-0.03226957,-0.017556414,0.022000726,-0.002782871,-0.045657717,0.02821172,-0.01841215,0.0034988606,-0.024126265,0.0026603763,-0.0031693329,-0.0043338947,0.035582103,-0.005217236,-0.01023434,-0.024609344,0.026431235,-0.0023515518,0.0118561,0.009143965,-0.0017511556,0.022511408,-0.00023916645,-0.022801254,0.033235725,0.034063857,0.008274426,-0.009344097,-0.0004414551,0.024857784,0.012435793,0.01970956,-0.032738846,-0.006090226,-0.048777018,-0.0056313025,-0.063434966,0.033815417,0.020565296,0.0149754,-0.01958534,0.00536906,0.013139705,-0.012497903,-0.012546211,-0.016272807,-0.00736348,-0.0024084859,-0.029647151,0.0011490341,-0.0024360903,-0.0062558525,0.010496582,0.0042096744,0.03751441,-0.005817632,-0.008605679,0.005672709,0.020496285,0.018646788,-0.007563612,-0.011317814,0.012249463,0.016907709,-0.011828495,-0.021117384,0.039060257,-0.0035540694,0.0013707322,0.027190357,0.01928169,-0.021807494,-0.008246821,0.0022014529,0.02865339,0.00792247,-0.0054587745,-0.019047052,0.0040543997,-0.016893907,-0.0053449064,0.004910137,-0.00054001156,-0.00075049524,0.00879891,-0.004523675,0.007881063,0.006901106,-0.016935313,-0.015762126,0.0022100792,-0.04157226,0.008584975,0.023518968,0.014450916,-0.0007867261,0.010662208,0.025879147,0.0299508,0.009958296,-0.0026948818,-0.0074738977,-0.01173188,-0.008978339,0.018053293,-0.022097342,-0.02420908,-0.007639524,-0.003975037,0.017873865,0.004661697,-0.016783489,0.01097966,0.008150206,0.0067182267,-0.01977857,0.0019219579,-0.029812777,-0.018646788,0.035416476,-0.009689152,0.023298133,-0.01404375,0.014947795,-0.02502341,0.0116421655,-0.0205929,-0.011262605,-0.014506125,0.0048204223,-0.007894865,0.02378121,0.00736348,-0.018743403,0.020606702,0.02608618,0.0005331104,-0.0042717843,-0.011966517,-0.04262123,-0.012180452,0.016797291,0.00039551963,-0.01965435,0.007418689,0.010248142,-0.026679676,0.0055760937,-0.008377942,0.013339838,-0.019074656,0.009316493,0.009440713,0.0017563314,-0.002627596,0.014437114,0.02378121,0.016369423,0.0008876547,-0.010241241,0.00836414,-0.0136503875,0.014506125,0.0072461613,-0.0018581228,0.0045443783,0.0019547383,-0.009992802,-0.008481459,-0.02739739,-0.021075977,-0.0062109954,-0.031027371,0.004854928,-0.012539309,0.09059772,-0.0036575862,0.00038840287,-0.013795311,-0.024084859,0.032656033,-0.0007008936,0.011090077,-0.008695394,-0.03414667,0.019985603,0.0040405975,-0.0287086,-0.041986328,-0.011835396,0.015527488,-0.010089417,-0.004423609,-0.019971801,-0.00985478,0.003781806,-0.01148344,0.037431598,0.0067044245,-0.0012706661,-0.008039788,0.009461416,-0.0062247976,-0.021572856,-0.014340498,-0.015044411,-0.0027621677,-0.00073453644,-0.014285289,-0.0010368911,0.008377942,-0.022387188,0.0062247976,0.007577414,0.011759484,-0.02353277,0.008074294,-0.012014825,-0.011649067,-0.017666832,0.0074531944,0.0099859005,-0.017929073,-0.028487764]', 'plot a line chart of conflict events by month for a country using HDX data as an image', '{"mem_type": "recipe", "custom_id": "f8ae80df-2db7-47ba-b00a-894bf166331a"}', 'f8ae80df-2db7-47ba-b00a-894bf166331a', '03400665-871d-4795-8d73-7110a6eb7df8'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.0048532574,-0.008607796,0.0026593192,0.007810001,-0.0013139136,0.007173164,-0.024591703,0.00046144438,2.0775931e-05,-0.020224823,-0.013611516,0.032275736,-0.0011153395,-0.009125664,-0.0007527448,0.016571756,0.023961864,-0.012211873,0.02613131,-0.011924947,-0.02543149,0.02316407,0.042941004,-0.015941918,0.00091501576,0.0041079484,0.005441107,-0.03289158,0.0101544,0.011323101,0.008635789,-0.013184626,-0.012764731,-0.021008622,-0.0033993798,0.0019892408,-0.009076676,0.00037549762,0.02054674,0.00071731635,0.0009736258,-0.004398374,0.0065363264,-0.0055320836,-0.0037580382,0.007278137,0.030568175,0.0030284745,-0.009209642,0.018923156,0.0135485325,0.021820413,-0.008425843,-0.019720951,0.029308498,0.037678353,0.008117922,-0.018727206,0.0027677913,-0.023430001,0.008362859,0.0004570705,-0.03804226,-0.0006827627,-0.031267993,-0.03765036,-0.0088317385,0.012631766,0.0018562749,0.01832131,0.017943406,0.036110755,0.0035725855,0.008796748,0.011218128,0.010770243,-0.017523514,0.0024686179,0.016263835,-0.0012351838,0.02789486,-0.022408262,0.009006694,0.009279625,0.030344233,-0.020042868,-0.023443997,0.060800437,0.001296418,-0.0071801622,0.029448463,-0.0046188175,0.0074740867,-0.008264884,-0.013968425,-0.0025683425,-0.011749991,0.039189965,-0.002101212,-0.03524298,-0.003925995,-0.008075932,-0.026257277,-0.008775753,-0.030932082,0.0041884277,0.002839523,0.0005476098,0.007740019,-0.015466041,-0.030036312,0.022114338,0.00062152836,-0.03686656,-0.0015343572,-0.023751918,0.016543765,-0.0059939655,-0.0115960315,-0.02671916,0.012953684,0.025207546,0.01917509,-0.009202644,0.010959194,0.00711018,-0.006931726,-0.016543765,0.0030302242,-0.01480821,-0.008523817,0.015228102,0.011274113,-0.0023496484,-0.026747154,0.0410095,-0.027488964,0.015578013,-0.012099902,-0.027279017,0.020056864,0.017397545,0.010931201,0.0035655873,-0.019133102,0.035438925,0.012946685,0.029252512,-0.0067182803,-0.03031624,0.004867254,-0.025487475,0.018195342,-0.0038875048,-0.012995672,0.00667979,-0.005927482,0.013520539,-0.01965097,-0.00069588434,-0.018489266,-0.019511005,-0.001894765,0.013051658,0.00019802742,0.03667061,-0.0076420438,-0.013961426,-0.0026033334,0.008383853,0.0028290257,0.038686097,-0.020168835,-0.00456983,0.015578013,0.0040204707,-0.0052206633,0.024647688,-0.014402313,-0.002526353,-0.017509516,0.033675376,0.036250718,0.019874912,0.0017574251,-0.0087127695,0.02691511,-0.017971398,-0.010063424,-0.027139053,0.016893676,0.0053921193,0.0011293358,0.016151864,-0.6346535,-0.025375502,0.0050212145,-0.0164038,0.018881166,0.03283559,0.011113155,-0.0041709323,-0.020742688,0.021876398,-0.0021274553,0.03051219,-0.017789446,-0.047475845,0.00036412553,-0.024325771,-0.032387707,-0.015843943,-0.019287063,0.044144697,-0.001996239,0.029392477,-0.011805978,0.0021257058,0.0064243553,0.023024105,0.01535407,0.0053396327,0.023905879,0.013016667,-0.013331587,0.0008345364,0.0011940693,0.00066657935,0.048931472,-0.017173603,-0.0070576933,0.013408568,0.041541364,0.053662263,-0.024479732,-0.0011415827,0.03468312,0.023262044,-0.016067887,0.0032121777,-0.0058644987,0.010056425,0.008152912,-0.034207243,0.003273412,0.0128697045,-0.019133102,0.0013620263,0.019483011,-0.0027362995,0.006574817,-0.017915413,0.009132662,0.0049897223,0.0005143683,-0.0171876,-0.027251026,-0.007977958,-0.010483316,0.021708442,-0.012113898,0.024927618,0.004065959,-0.022870144,0.0060289563,0.018979141,-0.010574292,-0.0048602554,0.020294804,0.016949661,0.018601237,-0.014976166,-0.010427331,0.017649481,0.0014328831,-0.019804928,-0.022478245,0.011973934,0.0027345498,0.0089437105,-0.024815647,-0.0011547044,0.0073691136,0.0029934836,-0.000533176,0.008880726,-0.006049951,-0.034739107,-0.013443559,0.04268907,-0.014052403,0.0071136793,0.019287063,-0.040141724,-0.026593193,0.012995672,0.005860999,0.01644579,0.033703372,0.03012029,-0.0074320976,0.009643531,0.025879374,-0.026061328,-0.014668246,-0.010133405,-0.041961256,-0.009188647,0.026327262,-0.03734244,0.025907367,0.00648384,-0.0063018864,0.013457555,0.033563405,0.0004389189,0.034655128,-0.012015924,0.018909158,0.008649785,0.017089624,-0.0017801693,0.0022866644,-0.005951976,0.013009669,0.0063018864,0.0167957,-0.033675376,0.002038228,-0.0040834546,0.006938724,-0.011624024,-0.013534536,-0.023430001,-0.02340201,0.0053011426,0.0034098772,-0.005773522,-0.011330099,-0.012778728,0.0018212838,0.010462321,0.019832922,0.0025053585,-0.014150378,-0.0022796663,-0.015060145,-0.0022674194,0.012456811,0.007914973,0.021708442,-0.010378343,0.008180905,-0.007879983,-0.0019000137,0.0059589744,-0.0035498415,0.0006197788,0.0034291223,-0.0080269445,-0.0010357348,0.035998784,0.006350874,-0.0052206633,-0.0025945858,-0.028020827,-0.026425237,0.037818316,-0.0027765392,0.037790325,-0.02981237,0.0022481745,0.015116131,-0.033899322,0.040449645,-0.0060639475,-0.015480038,-0.007956963,0.012547787,0.00023312782,-0.008852733,0.01581595,0.01101518,0.020770682,-0.029308498,0.023346022,-0.013380575,0.023905879,-0.0012028171,0.011952939,-0.01535407,0.0049897223,-0.006634302,0.0026173298,0.035718855,0.011183137,-0.007313128,0.010966192,0.040281687,-0.026285272,-0.0016262087,-0.030540183,-0.017229589,0.02417181,0.028230773,-0.040673587,-0.0050632036,-0.0064733424,0.0070961835,-0.004303898,0.003856013,-0.0084818285,-0.027572943,-0.016473781,-0.011148145,-0.01651577,0.026467225,-0.011421076,-0.0019175091,-0.010126407,-0.013156632,0.00018195341,0.0054900944,-0.02140052,-0.00722915,0.017117618,-0.008845735,0.0018177847,0.03658663,-0.0073901084,-0.010140404,0.000984123,0.028608678,0.016319823,-0.014864195,-0.005098195,0.005514588,-0.0073971064,-0.012547787,-0.011456067,0.025179554,0.009048684,-0.037314445,0.024913622,0.011120153,0.022520235,-0.009272626,0.00785199,0.011204131,-0.009643531,0.01109216,0.0039050004,0.035606883,0.01823733,0.03932993,-0.0109102065,0.006613307,0.010875216,-0.016669732,-0.023597958,-0.035159,0.0062039117,-0.0129816765,0.012806721,-0.014626256,-0.0082019,0.0038455157,-0.02133054,0.0021274553,-0.016333818,0.03667061,0.0017915415,0.005577572,0.012393827,-0.023905879,-0.02366794,0.029868355,0.0033871331,-0.009377599,-0.04504047,-0.022156328,-0.012785726,-0.005276649,0.010805233,0.03269563,0.0033311474,0.013821462,-0.02163846,-0.0006963217,0.018349303,0.031827852,-0.0070576933,0.0025840884,0.018419284,0.0051506814,-0.0019629975,0.0026890615,-0.024227796,0.034123264,0.0030827108,-0.007970959,-0.016137868,-0.0056160623,0.0068127564,0.0009473825,-0.00010513715,-0.03471111,0.010539302,-0.006319382,0.0020609724,-0.015955916,0.013723487,0.011428074,0.02011285,-0.008082931,-0.039665844,-0.029896347,0.014087394,0.04316495,0.023681937,0.019888908,-0.016067887,-0.0012203126,-0.00037440413,-0.02222631,-0.018111363,0.013443559,0.015130127,0.00079735834,0.020042868,0.016263835,-0.0008389103,0.013723487,-0.0107912375,-0.014444303,-0.020756686,0.00027424228,0.00062152836,-0.014850199,-0.008222895,0.008488826,0.008075932,0.014311337,-0.0018685217,0.02793685,0.045488354,0.002675065,-0.012127895,-0.011924947,0.021890396,-0.0074250996,0.022492241,-0.01222587,0.014780217,0.020140843,-0.0041569355,0.021372529,0.0061654216,0.016613746,0.0034991044,-0.003238421,-0.0006604559,0.017117618,0.011784983,-0.02445174,0.02436776,-0.02874864,-0.0025246036,0.016585754,-0.014073398,-0.011050171,-0.003932993,-0.005098195,-0.0029374978,-0.0039574867,-0.009384598,-0.012260861,-0.009664525,-0.028608678,-0.011861963,0.042633086,-0.01995889,-0.01535407,0.0072571426,-0.029056562,-0.014780217,-0.016179858,0.0017705468,-0.0062109097,-0.042633086,-0.002402135,0.004457859,0.007166166,0.016067887,-0.001652452,-0.016417796,0.005472599,-0.015899928,-0.019678961,-0.00410095,-0.0014416309,-0.01675371,-0.0105602965,-0.011554042,-0.005206667,-0.019189088,-0.016333818,0.028972585,-0.005112191,-0.024549715,0.0021029615,-0.010357348,-0.025963353,-0.021568477,-0.009475574,0.0149341775,0.00061802927,-0.0007737394,0.011617025,-0.01945502,-0.026579197,-0.031687886,0.017985396,-0.012239866,-0.010343351,-0.0023741422,0.00066220545,-0.00075668126,0.023919877,-0.009188647,-0.016851686,-0.009678522,0.014920181,0.0069247275,0.028384734,0.013877448,-0.019986883,0.0012325594,-0.007019203,0.030008318,-0.0071556685,-0.0056615504,-0.023332026,0.008565807,0.007893979,-0.015256095,-0.027670918,-0.014213362,-0.014724231,0.020910647,-0.005203168,-0.018363299,-0.015689982,0.018895162,-0.02257622,0.0075300727,-0.004972227,-0.030876096,-0.018405288,-0.0013419064,0.0012806721,-0.013961426,0.012631766,-0.024521722,-0.012911694,-0.00048506333,0.0026313262,0.02140052,0.0060359547,-0.012204875,-0.014332332,-0.0076420438,-0.017047634,-0.032779608,-0.018923156,0.03647466,0.018531255,0.028860612,0.034011293,0.036894552,0.029280504,-0.0002952369,0.0016472033,0.005983468,0.00024362514,0.0043528853,-0.015004159,0.01023138,0.010070422,-0.0015929672,-0.011547044,-0.0050247135,-0.01312164,0.020910647,-0.009790493,-0.028006831,0.010343351,-0.017985396,-0.0018545253,0.017173603,-0.016109874,0.012281856,-0.04476054,-0.010126407,0.024633693,-0.008453836,0.019119104,0.02046276,0.0025770902,-0.002284915,0.026257277,0.005675547,-0.013877448,0.003967984,-0.013513541,-0.00667979,-0.0025665928,0.028510703,0.004331891,0.03675459,-0.0077750096,0.005812012,0.00038402667,0.0064348523,0.00022941003,0.024577707,0.009363603,-0.012561784,-0.012799723,-0.024283784,-0.021372529,-0.007313128,0.016347814,0.010917204,-0.02667717,0.017873423,-0.02347199,-0.029896347,-0.0035183495,0.0010436078,0.03527097,-0.0006788262,0.03734244,0.018503262,-0.004695798,-0.024465736,0.008719767,-0.024437742,0.0015571014,0.017887421,0.041849285,-0.029224519,-0.051926706,-0.02144251,0.010973191,0.010357348,-0.040477637,0.0035638378,0.007914973,0.009230637,-0.025571452,-0.003089709,-0.038490146,0.0024441243,-0.0053991177,-0.015382063,0.029700398,-0.01394743,-0.006242402,0.016039893,-0.034935057,0.03706251,-0.009433584,-0.008334866,-0.0065363264,-0.0070646917,-0.022408262,0.021708442,0.020854661,0.018727206,0.0031911829,0.03854613,0.030288247,0.0011905702,0.01738355,-0.0059939655,0.0085938,0.029896347,-0.02046276,-0.00011492371,0.02058873,-0.0070926845,0.022394266,-0.0010418582,-0.022240305,-0.0071801622,-0.011931945,-0.024325771,0.020476757,-0.016081883,-0.0037055514,-0.0005769148,-0.0030599665,-0.0025945858,-0.02253423,0.0032839093,0.014976166,-0.012953684,-0.01531208,0.016655736,0.007649042,-0.008047939,0.020056864,-0.016333818,-0.005315139,0.02778289,-0.026313264,0.019790933,0.020098854,0.008418844,-0.021386525,0.009713513,-0.038602117,0.004072957,0.006315883,-0.024157815,-0.019706955,-0.045208424,-0.008082931,0.022716183,0.03616674,0.010168397,0.0039224955,0.019846918,-0.009440583,-0.02222631,0.0017915415,0.0149341775,-0.03300355,-0.00062152836,-0.0060989386,-0.01585794,0.02054674,-0.03051219,-0.0071941586,-0.0032314227,-0.002592836,-0.013821462,-0.008558809,0.03031624,-0.0135485325,0.012813719,-0.010042429,-0.023905879,-0.010728253,0.025039589,-0.0041289427,-0.008257885,0.035830826,0.003542843,-0.0006495212,0.012218871,-0.021624463,-0.031743873,-0.0012596775,0.009524561,0.010280368,-0.014318335,-0.001433758,0.007166166,0.036250718,-0.03902201,-0.025277529,-0.0058889925,-0.04098151,-0.023919877,-0.024563711,-0.0018720208,0.013863452,0.01965097,-0.0124988,0.027251026,-0.010595287,0.012204875,0.0017871675,0.0048567564,0.0062319045,-0.024045844,0.019832922,-0.0043563847,-0.006480341,-0.019930897,0.011323101,0.021358531,0.026509214,0.024031848,0.0012929189,-0.0069912104,-0.02425579,0.010280368,-0.0017740459,0.0022674194,-0.015606006,-0.016501775,-0.0045978227,-0.0039854795,0.007712026,-0.023024105,-0.014276346,-0.00093950954,-0.009447581,-0.025963353,-0.017131614,-0.008040941,0.0075370707,-0.017677475,-0.0038525139,-0.00347636,0.010686264,0.047055952,0.027376993,-0.0056160623,-0.017509516,-0.005308141,-0.011400081,-0.027139053,-0.008614794,-0.011652017,0.021036614,-0.020098854,0.022842152,-0.01664174,0.016151864,-0.009111667,-0.02436776,-0.031184018,0.03062416,-0.012729741,-0.008082931,-0.013352582,0.013240611,-0.012134893,-0.01515812,0.009433584,0.02874864,-0.027321007,0.017649481,-0.020574732,0.0039819805,0.0074950815,0.009825485,-0.02613131,-0.011001184,0.047363874,0.19393435,0.0052976436,0.0025420992,0.022478245,0.008166909,0.019105108,-0.007747017,0.0055600763,0.005353629,0.0041779303,-0.012974679,0.031491935,-0.0031509432,0.0013287847,0.013569526,0.010259373,-0.049939215,-0.031575914,-0.013030664,-0.029336492,0.027167046,0.019664966,-0.013877448,-0.027055075,0.01664174,0.0023531476,-0.027978837,-0.00048068946,0.026887119,0.013380575,0.005203168,-0.02429778,0.006935225,0.023430001,-0.012239866,0.0024808648,-0.00913966,0.009965449,0.036222726,-0.01261777,0.005577572,-0.0026540705,0.017313568,-0.0072011566,-0.0033766357,0.002339151,-0.0085938,-0.013051658,0.006329879,-0.00089139683,-0.030932082,-0.016991649,0.012204875,0.006448849,-0.004779776,0.00156235,0.027558945,-0.00023181566,-0.0005401742,-0.0019664965,-0.0046573076,0.027586939,-0.012568782,-0.0006355248,-0.015787957,0.014990163,-0.018055378,0.0040519624,0.020364786,-0.00015122691,0.00765604,-0.017173603,-0.014017412,-0.004058961,-0.011763988,-0.016501775,0.002601584,0.012281856,0.021750432,0.028146796,-0.003964485,0.0047517833,-0.010252375,0.002116958,-0.007593056,-0.030148283,0.012862707,-0.008411846,-0.028258767,-0.008572805,4.4531567e-05,-0.015913926,-0.022506237,0.021274554,-0.008859731,-0.008215897,0.0109032085,0.008754758,-0.009874471,-0.0008603423,-0.01675371,0.048091687,-0.007921971,0.0043213936,-0.0035970793,-0.02355597,-0.037930287,0.014892188,0.019720951,-0.017131614,0.0021117094,-0.027768891,0.0033154015,-0.004706295,-0.022016363,0.008236891,0.020126848,-0.02804882,-0.0040204707,0.013149634,-0.007886981,-0.024591703,0.0106722675,0.012596775,-0.027362997,-0.016585754,-0.02554346,-0.01019639,-0.011176138,-0.030456204,0.010931201,-0.01937104,0.010581291,-0.003908499,0.020574732,0.022198316,-0.0013147884,-0.01734156,-0.0034606142,0.0061094356,-0.016991649,-0.004975726,0.007879983,-0.007823997,0.007816998,0.0021904393,-0.01902113,0.024815647,-0.01644579,-0.016907671,-0.008264884,-0.0074600903,-0.0074670888,-0.020168835,0.014206364,-0.020784678,-0.010511309,-0.021666452,0.04397674,-0.02124656,-0.017509516,0.03160391,0.016963657,0.006074445,-0.010644275,-0.0026068327,-0.18060976,0.0070716897,0.021414516,-0.017957402,0.016109874,0.0029794872,0.029588426,0.015997903,-0.00691423,-0.002183441,-0.019497009,-0.0045803273,-0.0554818,0.0011424575,0.023220055,-0.0031107035,0.010399338,0.02229629,0.015578013,0.025809392,0.049379356,-0.0018037882,0.026019339,0.0023828899,0.010511309,0.0067602694,-0.016949661,0.043248925,-0.007684033,-0.0024896127,-0.006564319,-0.013863452,0.01823733,-0.0033993798,-0.021512492,-0.020224823,-0.011400081,-0.015102134,-0.01387045,0.018363299,0.014626256,0.006175919,-0.0030477196,-0.0022254302,-0.0014704985,0.014430306,0.007977958,-0.031967815,0.02613131,-0.009629535,0.025081579,-0.018811183,0.02809081,0.0079009775,0.013863452,0.017229589,0.003999476,0.0076420438,0.005014216,-0.0014573769,-0.01902113,-0.026929107,0.013184626,-0.0079009775,-0.037090503,-0.037314445,-0.039637852,0.007956963,-0.004863755,-0.0042199194,-0.011260117,-0.009909463,0.00054192374,-0.01441631,0.014402313,0.011966936,-0.018881166,0.0002705245,0.017635485,0.0020137343,-0.012400825,0.03171588,-0.0129816765,-0.0016734466,0.004065959,-0.022072349,0.014948173,0.01035035,-0.0060044625,-0.0047237906,0.0063648704,0.0058050137,0.0077960044,-0.027880864,0.0022586717,0.021918388,-0.00012192192,-0.00044044977,0.027432978,0.0050632036,-0.0060044625,0.0079009775,-0.037398424,0.016291829,0.017229589,0.022254303,-0.017873423,0.027614933,0.039861795,0.0014792463,-0.032107778,0.006672792,0.012743738,0.008180905,0.00289026,0.020532742,0.011337098,0.010189391,0.0056580515,0.006154924,0.007173164,-0.018797187,0.004436864,0.011477062,-0.026439233,-0.018993137,-0.09741506,-0.015731972,0.008614794,0.00527315,-0.0071171783,0.017313568,-0.0044508604,-0.0068792393,-0.0037370434,0.031072047,-0.014570271,-0.017523514,-0.00933561,-0.004741286,0.029224519,0.02510957,-0.012253863,-0.0068792393,0.019636972,0.035298962,-0.012323844,-0.041765306,0.0038490149,-0.017047634,0.003121201,0.026355254,-0.01745353,0.012827716,0.0042129215,0.027754895,0.024003854,-0.015480038,0.024437742,-0.020406775,-0.011421076,-0.020014875,-0.0039434903,-0.0075580655,-0.0033923816,-0.051926706,0.0152840875,0.028398732,0.023975862,0.0002919565,-0.004436864,-0.019357044,-0.014864195,0.032275736,0.0080199465,0.003754539,-0.0062284055,-0.005878495,0.018937152,-0.015452045,0.018587241,-0.015647994,-0.017803442,-0.0026610687,-0.022744177,0.004667805,0.0041849287,-0.0016874431,-0.05167477,0.023304034,-0.0016463286,0.011708003,-0.049463335,-0.008740762,0.021232564,-0.0005987842,-0.041737314,0.040169716,-0.02159647,0.0065048346,-0.0105602965,-0.004198925,-0.019427026,0.021134589,0.030764125,-0.012722743,-0.012596775,-0.033759356,0.007250144,-0.0055110888,0.002741548,0.006182917,-0.0013882696,0.016627742,-0.008229893,-0.03429122,0.033619393,0.0269571,0.02429778,0.0013331587,-0.008138916,0.03308753,0.002199187,0.007404105,-0.0018020388,0.0014363823,-0.037594374,0.009622537,-0.06466345,0.021904392,0.028174788,0.0134365605,-0.0017390549,0.0064243553,0.009321613,-0.0008966455,-0.0074950815,0.0041919267,-0.007956963,0.018657222,-0.023653943,-0.0030617162,-0.0064628455,-0.03891004,0.022814158,-0.0057980157,0.038686097,0.01855925,0.012085905,-9.802959e-05,0.02316407,0.015326077,-0.011274113,0.005315139,0.002234178,0.01937104,0.004331891,-0.017873423,0.035326954,-0.010875216,-0.016263835,0.019972887,0.0016970657,-0.029504448,-0.024381757,-0.01651577,0.046692044,0.008082931,-0.017327564,-0.006844248,-0.001359402,-0.02257622,0.00024493728,-0.01175699,-0.01277173,-0.016809696,0.021750432,-0.00035909557,0.025529463,0.0074950815,-0.0043143956,-0.017509516,-0.0058260085,-0.034207243,0.0171876,0.012911694,0.024857637,-0.027362997,0.0036460666,0.0012281856,0.02214233,-0.00138652,-0.006907232,-0.010105412,-0.005185672,-0.0026698164,0.011323101,-0.028860612,-0.027712906,-0.0007400605,-0.00531164,0.0066832895,0.014136381,-0.018601237,-0.008642787,-0.0056545525,0.0092936205,0.009097671,0.013660504,0.004163934,-0.029700398,0.04030968,0.009251631,0.011708003,-0.025767403,0.0040799556,-0.0007356866,0.00628789,-0.039637852,0.014864195,-0.0037475408,0.011652017,-0.004776277,0.0107912375,-0.005693042,-0.03252767,0.022198316,0.018741202,0.013387573,0.0023181564,-0.01636181,-0.035830826,-0.014920181,0.0021606968,0.0055530784,-0.024129823,0.007649042,0.0065048346,0.0026908112,-0.010490314,-0.015494034,0.006518831,-0.015060145,0.013191624,-0.0010803484,0.004863755,-0.017775448,0.026523212,0.023975862,0.011645018,-0.01202992,-0.010693262,0.01855925,-0.0009692519,0.008285878,-0.006291389,0.007893979,-0.02144251,-0.0055950675,0.005847003,-0.001859774,-0.022282295,-0.01347855,-0.01429734,-0.00691423,0.004230417,0.0017040638,0.09265628,-0.002440625,0.005304642,-0.011190135,-0.015550019,0.01945502,0.008964704,0.01515812,-0.009083674,-0.027978837,0.038686097,-0.01441631,-0.0114840595,-0.03160391,-0.016221847,0.01277173,-0.013408568,0.0019122605,-0.015745968,0.0023024105,0.0011424575,-0.0017915415,0.017999392,0.01257578,-0.011260117,0.00095525547,0.010896211,0.0035253477,-0.004835762,-0.022884142,-0.013030664,-0.0056230603,-0.00035165995,-0.011085162,0.012876703,0.002750296,-0.024563711,0.019622976,0.005644055,0.013646507,-0.015843943,0.015969912,-0.007684033,0.0015168616,-0.026481222,0.013730486,-0.002550847,-0.025949357,-0.014444303]', 'plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image', '{"mem_type": "recipe", "custom_id": "cd574bec-d5a5-4894-abff-df4b204ef6fe"}', 'cd574bec-d5a5-4894-abff-df4b204ef6fe', 'e24e13ff-19a8-4e2f-af88-522ce5e60045'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.020104934,0.0023036902,-0.013598753,-0.018387638,-0.0063386383,0.016544685,-0.03459724,0.003867407,0.011253178,-0.007832547,0.0057138503,0.02810502,0.0047120936,0.004904068,-0.0056998883,0.019658158,0.010052467,-0.019350998,0.029766468,-0.019211382,-0.011532413,0.012007113,0.021221874,-0.0014240994,0.0011274121,0.019350998,0.007706891,-0.039344236,-0.0004755724,-0.00912401,0.013138015,-0.0035427962,-0.0038813688,-0.02564775,-0.017801244,0.0074206744,-0.0071414392,-0.004181547,0.013612715,-0.0012862271,0.0061955308,0.002530569,0.0030419184,-0.00067801797,-0.003445064,0.023260292,0.02372103,-0.0101083135,-0.026080566,0.030771716,0.0097871935,0.018778566,-0.004785393,-0.011644107,0.03200035,0.025675673,0.00046161065,-0.017019385,0.0012338705,-0.01318688,0.007979145,-0.0064887274,-0.016042061,0.0015628445,-0.037668828,-0.03610511,-0.016139794,0.01055509,0.0061082696,0.021291682,0.025005512,0.036998663,-0.008816851,0.00083945075,0.020523787,0.00062609767,-0.022520319,-0.015064738,0.016209602,-0.0067923954,0.02890084,-0.036300573,-0.007026255,0.009242685,0.024070073,-0.013919873,-0.022520319,0.043839924,0.010359625,-0.010066428,0.015371896,0.004907558,0.026583187,-0.0047644502,-0.00651316,0.002968619,-0.0135778105,0.028509911,0.010492262,-0.036831122,-0.0030105044,-0.0024258557,-0.015330011,-0.0108482875,-0.023399908,0.011378834,0.00052923796,0.0066807014,0.0073229424,-0.01500889,-0.018234057,0.023316137,0.009745308,-0.021249797,-0.0037626938,-0.031302266,0.013117072,-0.0026440083,-0.005539328,-0.025368515,0.003912783,0.01770351,-0.0032129497,0.0029197528,0.012090883,0.011797687,-0.01729862,-0.040209867,0.00944513,-0.009075143,0.00045157562,0.00018913821,0.0009607435,-0.0070367265,-0.004359559,0.035825875,-0.028565757,0.014366649,-0.021640727,-0.025605865,0.012244463,0.014408534,0.02763032,-0.00841196,-0.005459048,0.033675764,0.01889026,0.009591728,-0.012921607,-0.022227122,0.010722632,-0.0179269,0.022953132,-0.01770351,-0.011567318,0.005640551,-0.009061182,0.0043700305,-0.0077627376,-0.0021919962,-0.022282967,-0.0036859042,0.003867407,0.02198977,0.009654556,0.0315815,-0.0214313,-0.01729862,0.0010532403,0.011595241,0.00975927,0.037026584,-0.024139881,0.0014624943,0.019434769,0.012663315,-0.0032618158,0.020495864,-0.036523964,-0.00010345881,-0.013312536,0.031944506,0.025187012,0.007734814,-0.02175242,-0.007288038,0.02293917,-0.034262158,0.001984315,-0.012251444,0.0063805236,-0.004342107,0.0057138503,0.001603857,-0.6406772,-0.021445263,0.0050995327,-0.009054201,0.027043926,0.010541128,-0.0016876275,-0.005982614,-0.046157576,0.027993325,0.0024223654,0.038590305,0.0024223654,-0.038506534,0.005958181,-0.017033346,-0.03532325,0.0016858823,-0.008788927,0.029766468,0.018303867,0.011944286,-0.009130991,0.0024817027,0.0007927661,0.02595491,0.035546638,-0.0049808575,0.0035916623,0.028928764,-0.018206134,0.008977411,0.004767941,-0.0005541073,0.041047573,-0.025996795,-0.016768074,0.019588348,0.028872916,0.0461855,-0.023511603,0.006527122,0.013570829,0.013891949,-0.017717473,0.0057766777,-0.007958203,-0.00880987,0.009319474,-0.019867584,0.01667034,-0.0009764505,-0.01103677,-0.0013429468,-0.0033228984,0.009857002,0.0021291682,0.017159002,0.011762782,-0.0074904836,-0.0116510885,-0.004984348,-0.030297017,0.0031064914,-0.019001955,0.02395838,-0.020453978,0.022241082,0.0069773886,-0.021221874,-0.0024031678,0.011853534,-0.016432991,-0.017438237,0.021850154,0.029598927,0.010143219,-0.032782212,-0.0006282792,0.0026073586,0.031413957,-0.012286348,-0.026778653,0.014939082,0.00698786,0.0036614712,-0.033145215,-0.0006836899,0.015623208,0.020970562,-0.0011422464,-0.0004140534,0.005441596,-0.030548329,-0.013193862,0.03666358,-0.008572521,0.009891907,0.008279324,-0.029794393,-0.03247505,0.008460826,0.007867452,-0.0004103448,0.047805063,0.018373676,-0.010010581,0.0012469597,0.026778653,-0.034094617,-0.022659935,-0.016656378,-0.025829254,-0.0051658507,0.0122305015,-0.033955,0.019616272,0.0015174687,0.0092077805,-0.0016160735,0.04601796,-0.0048761447,0.03264259,-0.021794306,0.008837794,0.015078699,0.017033346,0.0040209866,-0.004111738,0.005644041,0.009117029,0.019183457,0.018778566,-0.01951854,0.018583102,-0.0054485765,0.00019917321,0.007658025,-0.016377144,-0.016139794,-0.015274164,0.0188763,0.00055585254,-0.0035026562,0.00091973087,-0.01785709,0.0056824363,0.011413738,0.0165028,0.008663272,-0.013333479,-0.014017605,0.00452361,0.009459092,0.021375453,-0.004635304,0.015734904,-0.0073508658,0.008851755,-0.018541217,-0.0060279896,0.009137971,-0.007958203,0.008991373,0.011120541,-0.009005335,0.00032482904,0.03610511,0.016600532,-0.025913024,-0.0032513444,-0.027742013,-0.03191658,0.03135811,0.0015227044,0.028844994,-0.020803021,-0.012991416,0.013061225,-0.027728053,0.02937554,0.0013062971,-0.005277545,-0.021375453,0.01761974,0.003937216,-0.005340373,0.003087294,-0.0024799574,0.021152066,-0.02517305,0.01690769,-0.013124052,0.012656334,-0.0007094319,0.027769938,-0.029487234,0.016600532,0.011015828,0.022199197,0.045040637,0.016307335,0.01230031,0.03032494,0.022981055,-0.025661713,0.004907558,-0.038534455,-0.008712138,0.018038593,0.01626545,-0.042583365,-0.008000088,-0.01824802,-0.0017993216,-0.004809826,0.0101083135,-0.018108401,-0.03032494,-0.020970562,0.0005667602,-0.01397572,0.025661713,-0.009130991,0.00722521,-0.008028012,0.0020262003,0.014227032,-0.0047086035,-0.026652997,-0.0055602705,0.01126714,-0.020705288,0.0028691415,0.023902532,0.008544597,-0.00020222734,0.0015898952,0.021403378,0.014603999,-0.00075088086,-0.012265406,-0.0021396396,-0.0136546,-0.010275855,0.0036859042,0.014590038,-0.00793726,-0.017228812,0.0130961295,-0.0038953307,0.020021163,-0.013012359,0.012146731,0.01801067,-0.022520319,-0.006296753,0.009298531,0.030380787,0.030464558,0.03803183,-0.017186927,0.011316006,-0.0068238094,-0.017270697,-0.020607557,-0.038757846,0.013075187,-0.022087503,-0.0028394728,-0.01586056,-0.009577767,0.010129256,-0.009082125,0.0074206744,-0.02207354,0.029012535,0.0043700305,0.011078656,0.014617961,-0.014757579,-0.026583187,0.014562114,0.008041973,-0.00093718304,-0.049955174,-0.02189204,-0.0065864595,0.0050855707,0.0010480046,0.026932232,0.004897087,0.018541217,-0.01619564,-0.004907558,0.015665093,0.015525475,-0.011832591,0.009040239,0.020118896,-0.00404542,0.003492185,-0.0026230656,-0.023748953,0.026136411,-0.0021937415,-0.01055509,-0.024865894,0.0023298685,-0.005846487,-0.0008311609,-0.010150199,-0.026387723,0.013012359,-0.00121031,0.00018564778,-0.015916405,0.0093683405,0.025787368,0.002411894,0.0024101487,-0.03325691,-0.033061445,-0.0041536232,0.06450333,0.024698352,0.009110048,-0.01801067,-0.013884969,0.00017528553,-0.019881545,-0.017661626,0.020202667,0.012670295,0.010638861,0.0020104933,-0.008397998,0.00674702,0.0076719862,-0.01563717,-0.011672031,-0.008272342,0.013333479,-0.0104294345,-0.027420893,-0.013117072,0.008391017,-5.298378e-05,0.013528944,-0.005644041,0.019588348,0.038674075,0.007518407,0.007392751,-0.011399777,0.019588348,-0.0059651616,0.026694883,-0.006164117,0.025829254,0.008293285,-0.0097871935,0.02698808,0.0006492218,0.021487148,0.0008049826,-0.0070855925,-0.0022234102,0.028356332,0.022157311,-0.007811604,0.009312494,-0.021487148,0.010226989,0.01689373,-0.011574298,-0.028160866,-0.0067121154,-0.016544685,0.019937392,-0.003612605,-0.009019297,0.00667023,0.001559354,-0.022422586,-0.0079232985,0.023190482,-0.017549932,-0.0073648277,0.00017048616,-0.033061445,-0.010813382,-0.011420719,0.00067976315,-0.014171185,-0.034234233,-0.008754023,0.015204355,0.0084049795,0.0033298794,0.0061396835,-0.019169496,0.009221742,-0.021794306,-0.021487148,0.01579075,-0.019057801,-0.02087283,-0.016237525,-0.01453419,-0.008446865,-0.01445042,-0.01801067,0.033480298,0.013843084,-0.024321385,0.006296753,-0.013857045,-0.025926985,-0.010150199,0.0080838585,0.02302294,0.012028055,-0.0020104933,0.01809444,-0.027490702,-0.02205958,-0.027365046,0.0099477535,-0.011364873,0.01094602,0.010596976,-0.019448731,-0.007267095,0.01794086,-0.0061082696,-0.013061225,-0.013291594,0.009319474,0.0068726754,0.010499243,0.007797642,-0.0071344585,0.00066187466,-0.0012286349,0.02341387,-0.008607425,-0.005658003,-0.018750643,0.010652822,0.0074835024,-0.016530722,-0.034820627,-0.024111958,-0.0017801241,0.014394573,-0.002015729,-0.015986215,-0.028817069,0.00667023,-0.020272475,0.0017364937,-0.010736593,-0.03183281,-0.002523588,0.013864026,-0.0037766558,-0.012439928,-0.0027574475,-0.021864114,-0.008523654,0.020677365,0.0005013144,-0.010261893,-0.0072531337,-0.015497552,-0.012370119,-0.025228897,-0.021794306,-0.019853622,-0.027323162,0.026541302,0.015595284,0.028495949,0.029431388,0.03571418,0.027811823,-0.01055509,-0.007797642,0.0027557022,0.0069459747,-0.006733058,-0.018555177,0.00071379496,0.010373587,-0.0012469597,0.0007264478,-0.009326455,-0.009291551,0.0010296798,-0.0036265668,-0.02111018,0.0029057912,-0.020565672,-0.0165028,0.024405155,-0.0129006645,-0.0010349154,-0.05199359,-0.010338683,0.05785753,0.00023407761,0.014813426,0.014108357,-0.008384037,0.0014520229,0.0315815,0.015497552,-0.005745264,0.012153711,-0.0006522759,-0.011288082,0.022324853,0.021179989,0.013703465,0.024433078,0.0061536455,0.0029424408,0.00034773507,0.012558603,0.0009965206,0.025619827,0.0025672186,-0.008698176,-0.01667034,-0.015832635,-0.017675588,-0.0058709197,0.013696485,0.018289905,-0.020998485,0.019616272,-0.012586525,-0.026541302,-0.014101376,-0.00841196,0.037892215,-0.0058046016,0.016014138,0.02292521,0.0017775064,-0.017745396,0.009975677,-0.022394663,0.009647576,0.01865291,0.051351346,-0.036160957,-0.031776965,-0.0142828785,0.014603999,0.014659846,-0.02189204,0.011295063,0.019769851,0.016614493,-0.008607425,-0.010450377,-0.030157398,0.004293241,-0.00037893088,-0.011532413,0.031023027,-0.016432991,-0.0038953307,0.015832635,-0.04752583,0.02771409,-0.00848875,-0.010492262,0.0017775064,-0.0045096483,-0.025675673,0.021919962,-0.0045061577,0.020900754,0.001671048,0.026429608,0.028789146,0.012907646,0.016377144,8.24071e-05,-0.005110004,0.03001778,-0.014771541,-0.0017958311,0.02341387,-0.0036160955,0.012509736,-0.004579457,-0.016795997,-0.018499332,9.4841795e-05,-0.005329902,0.024796085,-0.020174742,0.0123910615,-0.00651316,-0.005846487,-0.01286576,-0.0076999096,-0.002753957,0.001975589,-0.00722521,-0.009298531,0.014254956,0.008076878,0.0022635502,0.013535925,-0.024865894,0.0034555353,0.028956687,-0.01897403,0.025913024,0.020886792,0.0023159068,-0.0325309,0.002507881,-0.032977674,0.00050742266,0.010066428,-0.012042018,-0.03113472,-0.035462867,-0.011050733,0.02803521,0.029012535,0.00020309996,0.0111694075,0.007043707,-0.01301934,-0.021906,-0.02126376,0.024461003,-0.04596211,0.010862249,-0.009089106,-0.010694708,0.024782123,-0.041633967,-0.012293329,0.0079232985,-0.00778368,-0.020761136,-0.0029075365,0.016782034,-0.014324764,0.00928457,-0.018345753,-0.027099773,-0.019895507,0.020202667,-9.9532066e-05,-0.00706465,0.04791676,0.0013124053,-0.020928677,0.0003728226,-0.017829167,-0.027811823,-0.0022984548,-0.004279279,0.00030039597,-0.0035846815,0.014352688,0.030464558,0.027518626,-0.020761136,-0.027839746,-0.01928119,-0.029515158,-0.017131079,-0.021640727,0.005549799,0.022171274,0.022785591,-0.0066911727,0.016153757,0.006254868,-0.0010087371,-0.0070402166,-0.0027679189,0.036272652,-0.028565757,0.015553399,-0.010485281,0.0076021776,-0.012816894,0.011483547,-0.00011354836,0.020928677,0.038450684,-0.010918096,-0.0109111145,-0.012502756,-0.013291594,-0.007019274,0.00051527616,-0.024307422,-0.031078875,0.004185037,0.0007207758,0.007595197,-0.019644195,-0.008635349,-0.00999662,0.0003728226,-0.029961934,-0.018527254,0.008160648,-0.013075187,-0.0282586,0.004938972,0.0009921575,0.015497552,0.048223916,0.024558734,0.00021957047,-0.01824802,0.01468777,-0.007239172,-0.03459724,-0.0149251195,-0.015399819,0.031162646,-0.013996663,0.027560512,-0.017200887,0.010708669,-0.0063526,-0.027560512,-0.035351176,0.03010155,-0.008181591,-0.0048133167,-0.019057801,0.015679056,-0.017396351,0.0031623382,0.005029724,0.027197506,-0.027839746,0.012174654,0.0008189444,0.0155394375,-0.002546276,0.004673699,0.0030593704,-0.009891907,0.03373161,0.18518877,0.0036300572,0.011462605,0.020886792,-0.02031436,0.019113649,-0.009877944,-0.003429357,0.025843214,0.01761974,-0.0049948194,0.022743706,-0.0065724975,0.0014171186,0.011790706,-0.017982746,-0.04222036,-0.017675588,-0.0258851,-0.011769763,0.011518451,0.023944417,-0.013068206,-0.02612245,0.0036789235,0.022506356,-0.012356157,0.0044433298,0.029654775,0.0037941078,-0.0035689746,-0.0330056,0.008781946,0.015525475,-0.012083903,-0.0039023114,-0.016377144,-0.010959981,0.02937554,0.0015776787,0.0010584759,0.0042339037,0.0031623382,-0.013766293,0.009696442,0.008209514,0.0065236315,-0.022338815,0.006890128,-0.0066981534,-0.02324633,-0.010987905,0.0017905955,0.0093683405,-0.00034031787,-0.011364873,0.030380787,0.0023543017,-0.0019302131,-0.007567273,0.005609137,0.018178212,-0.0020837926,-0.0024642504,-0.0026091037,0.005612627,-0.014911158,0.010045486,0.014939082,-0.00849573,0.007804623,-0.010506224,-0.01889026,-0.014338726,-0.011699954,-0.024321385,0.009661538,0.022422586,0.021794306,0.03247505,0.0012408514,0.0028063136,0.004795864,0.006575988,-0.018764604,-0.035211556,0.007630101,-0.00030955838,-0.034569316,-3.422267e-05,-0.0053822584,-0.0066737207,-0.006638816,0.020426054,-0.010352644,-0.012558603,0.017549932,0.028649528,-0.010401511,-0.0024171297,-0.015804712,0.021850154,0.007567273,-0.007169363,-0.00035122552,-0.022101466,-0.025312668,-9.653248e-05,0.0040663625,-0.028761223,-0.0016230544,-0.034848552,0.003160593,0.0016230544,-0.018261982,0.0016631945,0.01063188,-0.024111958,-0.016782034,0.006083837,-0.0060594035,-0.022031656,0.008558558,-0.00063264224,-0.022394663,-0.018736681,-0.030827563,-0.0066004214,-0.014408534,-0.02707185,0.014729655,-0.021780344,0.024377232,-0.025550017,0.00991983,0.021249797,-0.01103677,-0.022757668,-0.009410226,0.014729655,-0.007706891,-0.009214761,0.0015532457,0.005015762,0.009235703,-0.0038045791,0.003874388,0.014548153,-0.027281277,-0.023176521,-0.010024543,-0.004624833,0.0034433187,-0.019211382,0.042946372,-0.017885014,-0.004966896,-0.036942814,0.025857177,-0.0010863994,-0.0039267447,0.024377232,0.010569052,0.0048028454,-0.023371985,0.0017495828,-0.18005085,0.0017120606,0.019560425,-0.009857002,0.004938972,-0.007218229,0.026429608,0.0056614936,0.00032897395,-0.0012495775,-0.013961758,-0.0053124493,-0.045096483,0.009696442,0.014897197,0.00650967,0.007232191,0.022953132,0.025843214,0.030185321,0.041941125,-0.013473097,0.029012535,0.0021553466,0.0048447307,0.0042339037,-0.027923517,0.04911747,-0.0035550129,-0.021933924,-0.016446952,-0.02165469,0.013675543,-0.013249708,-0.011134503,-0.0153439725,-0.020830944,-0.01667034,-0.02365122,0.027742013,0.014590038,0.0063875043,-0.0021274232,-0.00404542,0.00052182074,0.036468115,0.005706869,-0.009724366,0.028356332,-0.003143141,0.019239305,-0.039009158,0.031106798,0.006534103,0.015497552,0.010520185,0.009061182,0.014827387,0.0018342261,0.00066274725,-0.0188763,-0.024614582,0.021068295,-0.010953,-0.03563041,-0.029738545,-0.036998663,-0.0004485215,-0.0070716306,0.007853489,-0.023134636,-0.0032932297,-0.009431168,-0.03730582,0.024377232,0.015776789,-0.03135811,-0.0029668738,0.022366738,0.006677211,9.260573e-05,0.04411916,-0.0066283448,-0.004076834,0.0052600927,-0.018206134,0.0067854146,0.011022809,-0.0109739425,-0.011797687,0.005277545,-0.011211293,0.00261783,-0.02300898,0.011434681,0.021766383,0.009214761,-0.01468777,0.024796085,0.01119035,0.006157136,0.012544641,-0.030297017,0.0065480648,0.031413957,0.01294255,-0.00053578254,0.02166865,0.039567627,0.014590038,-0.036356423,0.013131034,0.013612715,-0.0025986324,0.012809914,0.005724321,0.017270697,0.004331636,-0.010415472,0.004579457,0.017912937,0.0008189444,0.014422497,0.010834325,-0.0048202975,-0.011672031,-0.10119482,-0.0066108927,0.018429521,0.006223454,-0.0023717538,0.024181766,0.010764517,0.0056998883,0.0022356268,0.03174904,-0.021947885,-0.01968608,0.0029023008,0.00044764887,0.048140146,0.02063548,-0.010380568,-0.00849573,0.03200035,0.03261467,-0.0021588372,-0.030520404,0.017256735,-0.007972165,0.0057347924,-0.005546309,-0.020998485,0.02525682,0.013466116,0.021277722,0.024572697,-0.025480209,0.030269092,-0.0038778784,-0.02126376,-0.025117205,-0.0043386165,-0.0027906066,0.0022356268,-0.05813676,0.016069986,0.021808269,0.044873096,-0.008467807,0.017591817,-0.027113736,-0.03127434,0.033228986,0.002666696,-0.00206285,-0.013724408,-0.018457446,0.0006138811,-0.010164161,0.010527167,-0.035602488,-0.0066946633,-0.011399777,-0.04135473,0.0026789126,-0.014136281,-0.017522007,-0.030520404,0.036384344,0.014164204,0.003404924,-0.042332053,-0.01618168,0.024530811,-0.0007591707,-0.04769337,0.042332053,-0.022883324,0.0012242717,-0.030604174,0.003563739,-0.013361403,0.015302087,0.015706979,-0.014352688,-0.009354379,-0.028160866,0.0153439725,-0.00011671158,0.0034747326,0.0056300797,-0.0050052907,0.00944513,-0.007874432,-0.020495864,0.04548741,0.027909555,0.0033857264,0.0025445307,-0.0025689637,0.028091058,0.012481813,0.020747174,-0.0233301,0.004938972,-0.031441882,-0.010192084,-0.062492833,0.02309275,0.02596887,0.01110658,-0.018932145,0.0028970651,0.0027783902,-0.0008202533,-0.015762826,-0.01166505,-0.003919764,0.002485193,-0.03191658,0.010303779,-0.007113516,-0.026010755,0.004411916,0.015734904,0.038338993,0.010548109,0.0027190526,0.0014904179,0.016056024,0.011162426,-0.010017563,-0.007015784,0.014492305,0.017340505,-0.007825566,-0.02395838,0.043812,-0.00762312,0.00404891,0.021487148,0.018555177,-0.025284745,-0.009347398,-0.011218274,0.03032494,0.004785393,-0.012984435,-0.0132566895,-0.004237394,-0.020816984,-0.008663272,-0.00025262058,0.005403201,-0.011288082,0.00659344,-0.0012181635,0.010408492,0.006952956,-0.02221316,-0.010136237,-0.010289817,-0.032810133,0.002013984,0.01667034,0.016139794,-0.014953043,0.014953043,0.02945931,0.023553489,0.0069424845,-0.004244375,-0.008537616,-0.013633657,0.0013115328,0.018708758,-0.03308937,-0.030185321,-0.0010785459,0.0049878387,0.015399819,0.010254912,-0.019560425,0.0008385781,0.009989639,0.004108248,-0.008740061,0.009808136,-0.011441662,-0.03532325,0.04314184,0.0069040894,0.015846597,-0.009417207,0.02087283,-0.012035036,0.0055881944,-0.030911334,-0.0004360868,-0.011769763,0.0052286787,-0.0020576143,0.0179269,-0.001659704,-0.03105095,0.022785591,0.021291682,0.0032373827,-0.0027906066,-0.011120541,-0.026722806,-0.015818674,0.009117029,0.008258381,-0.021836191,0.0031954974,0.009473054,-0.0055428185,0.016614493,-0.014911158,0.01278199,-0.015148508,0.004516629,0.019350998,0.0016213092,-0.008467807,0.027351085,0.027560512,0.006876166,-0.003588172,-0.005609137,0.02205958,-0.014939082,0.017354466,-0.0073857703,0.0071030445,-0.017982746,-0.0062758108,-0.00033595483,-0.01253766,-0.019099686,-0.0069983313,-0.0066946633,-0.025982833,0.002649244,0.014729655,0.08645122,-0.005469519,-0.01468777,-0.011483547,-0.024544774,0.020691328,0.01119035,0.019113649,-0.0029546574,-0.040349483,0.038897462,0.0068831467,-0.011225254,-0.029180076,-0.025899062,0.012991416,-0.009221742,0.008537616,9.036967e-05,0.0006300244,-0.0045061577,-0.010066428,0.02556398,0.009333436,-0.007232191,-0.00080323743,0.021124141,0.0060419515,-0.018541217,-0.02229693,-0.007343885,0.0058115823,0.020789059,-0.01731258,0.010722632,0.0052147172,-0.02564775,0.005277545,0.009249666,0.016042061,-0.01396874,0.015888482,-0.011692974,-0.012593506,-0.021808269,0.0036824138,0.0014790739,-0.01531605,-0.027113736]', 'plot a line chart of fatalities by month for a country using HDX data as an image', '{"mem_type": "recipe", "custom_id": "015b18de-e58d-4929-ab94-ad58831c1736"}', '015b18de-e58d-4929-ab94-ad58831c1736', '05c742f1-e9c6-4826-bf18-ef7a368e6ed7'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.01794487,-0.015543894,-0.00884059,-0.013434365,-0.00018866055,0.004448052,-0.024537148,-0.021261826,-0.006980874,-0.020276455,-0.0013826432,0.028006766,0.029783212,0.00034197434,-0.0031573535,0.027756954,0.003927609,-0.016362725,0.023884859,-0.013080465,-0.04155216,0.0053085173,0.027854104,-0.007300079,-0.0043925378,-0.0013687648,0.025494762,-0.03727759,0.008993253,0.0014286158,0.014433616,-0.00674494,-0.0016532736,-0.018652674,-0.01558553,-0.014051958,-0.008778137,0.006085712,0.025272707,-0.005485468,-0.0008027832,-0.010346404,0.0047152126,-0.007154355,-0.014086654,0.0018735944,0.033336103,-0.020096034,-0.01850001,0.029033775,0.0014650468,0.03189274,-0.012976376,0.0071023107,0.020817716,0.018569402,0.011567711,-0.008125848,-0.0037957635,-0.01530796,0.004659699,0.002376689,-0.025758453,0.003490437,-0.034834977,-0.0357232,-0.015155297,0.0036257522,0.0078066434,0.01958253,0.038332354,0.046243086,-0.0051627937,0.004354372,0.009541453,0.009451243,-0.02213617,-0.008965496,0.005402197,-0.0022621918,0.02989424,-0.016376603,-0.0040074103,-0.004711743,0.023454627,-0.009707995,0.004430704,0.04310655,-0.01385072,-0.0063216463,0.028450878,0.009520635,0.026549527,0.004208648,-0.011373412,-0.0043092673,-0.013351095,0.024675932,0.012782077,-0.032392364,0.0039414875,-0.0073486534,-0.018749822,-0.009680238,-0.022483133,0.008035638,0.0049580857,-0.009347154,0.004430704,-0.023579532,-0.011408108,0.030088538,0.01385072,-0.038693193,0.011588529,-0.0295334,0.0036292218,-0.018611038,-0.00074163114,-0.010311709,0.001703583,0.020900987,0.0040594544,-0.00071083824,0.011824463,0.008937739,-0.017625665,-0.041718703,0.010943179,-0.0074666208,-0.0027808999,0.0077858255,0.011671799,0.0138715375,-0.023135422,0.04740888,-0.03427984,0.017750572,-0.015696557,-0.03600077,0.012185303,0.011595467,0.025564155,-0.014752821,-0.012435116,0.009256944,0.014544643,0.011859159,0.0031764365,-0.024453877,0.0070329183,-0.0123032695,0.009957807,0.003336039,-0.0013444774,0.02925583,-0.0055756783,0.016543144,0.0028607012,0.0100272,-0.009312458,0.006942708,0.017361974,0.025133923,0.0014303506,0.0315319,-0.006595746,-0.016723564,-0.01622394,0.018444495,0.011623224,0.008361782,-0.026743826,0.004399477,0.008708744,0.017556274,-0.014891606,0.010603157,-0.02560579,-0.018652674,-0.01484997,0.019624166,0.029228073,0.0034557409,-0.009132038,-0.005176672,0.018416738,-0.016237818,0.0062453146,-0.02588336,0.012372662,0.013052708,-0.0015986271,0.0025813968,-0.6395202,-0.032031525,-0.008250754,-0.0125461435,0.028312093,0.016543144,0.0120881535,0.014197682,-0.044771966,0.0169595,0.006699835,0.02789574,-0.013732753,-0.02370444,0.020290334,-0.016265575,-0.014405859,-0.022080656,-9.086065e-05,0.02625808,0.008007881,0.01056846,-0.00683515,0.016001884,0.009145916,-0.010693367,0.030366108,-0.0013401405,0.012053457,0.0357232,-0.011512197,0.0120257,0.006578398,-0.0024096505,0.038554408,-0.025133923,-0.020512389,0.009923111,0.04566019,0.044438884,-0.01777833,-0.01111666,0.018624917,0.012365723,-0.023190934,0.013142917,-0.011519136,0.00071213936,0.0011068085,-0.03600077,0.0046770466,-0.00033698676,-0.02459266,-0.0034939067,-0.0025536397,-0.01120687,-0.0016029641,0.0038929128,0.01530796,0.007799704,0.0062869503,0.0022344347,-0.018277954,-0.0012828917,-0.006280011,0.0043092673,-0.030366108,0.011054207,0.01648763,-0.013587029,-0.0066304426,0.015918612,-0.012108971,-0.006869846,0.013621725,0.008271572,0.023440748,-0.028645176,0.004513975,0.023135422,0.01558553,-0.020526268,-0.026646676,-0.0006553243,0.020817716,0.00428498,-0.03688899,-0.012726563,0.0004879152,0.016876228,-0.0066755475,0.013205371,0.0028607012,-0.04466094,-0.0169595,0.034529652,-0.021830844,0.016112912,0.01038804,-0.03125433,-0.01594637,0.0098467795,0.006633912,0.0053085173,0.0375274,0.02768756,-0.020706687,0.014391981,0.03563993,-0.033419374,-0.0023367885,-0.00847975,-0.031365357,-0.011671799,0.00993005,-0.037666187,0.03663918,-0.0027722258,-0.005769977,0.008993253,0.03536236,0.003426249,0.030865733,-0.011963247,-0.0031816408,0.012192242,0.01038804,-0.00025436646,-0.012095093,0.018291833,0.016279453,0.014405859,0.020970378,-0.025203314,0.016737442,0.019665802,0.0068039233,-0.0077788862,-0.025564155,-0.03511255,-0.015016512,0.010700306,0.006332055,-0.0028554967,0.017084405,-0.030754706,-0.007633162,0.013982565,0.006491658,0.0036986142,-0.021386733,-0.011213809,-0.0066547296,0.014974876,0.010852969,-0.0017764451,0.020706687,-0.013330277,0.020151548,-0.016501509,-0.013378852,-0.0031469446,-0.01730646,0.022497011,0.02305215,0.0037124925,-0.0056346618,0.04349515,0.010915422,-0.02414855,-0.0018978817,-0.010179863,-0.017930992,0.019082906,-0.005076053,0.014752821,-0.020803837,0.0014589749,0.0048227706,-0.03106003,0.03563993,0.014267074,-0.014433616,-0.04199627,0.027354479,0.008153605,0.0007620151,0.020151548,0.013066586,0.002250048,-0.029006017,0.031504143,-0.005950397,0.010013321,-0.006314707,0.0015422457,-0.012629414,0.0066235033,0.019610288,0.0115815895,0.028922746,0.002560579,-0.0001575424,0.0050448263,0.021941872,-0.03164293,0.013469062,-0.027104666,-0.011650981,0.031504143,0.019346597,-0.05212756,-0.0015092844,-0.01430871,-0.0033516523,0.0072029294,-0.008181362,-0.010408858,-0.028561905,-0.015266324,-0.008521385,-0.010901543,0.018819215,-0.008222997,0.00025588443,-0.005423015,-0.007279261,-0.0067761666,-0.005384849,-0.02342687,0.0001168828,-0.0036118736,-0.018569402,-0.00100272,0.01951314,0.009735752,0.024717567,-0.0044792783,0.02288561,0.016348846,-0.009902294,0.0040872116,0.00875038,-0.0037749459,-0.017334217,0.0026265017,0.017320339,0.008812833,-0.027396115,0.025675183,0.0011779357,0.019429868,0.006786575,0.0040490455,0.015807586,-0.019110663,0.006443083,0.013552333,0.03408554,0.032864235,0.027132422,-0.009666359,-0.0021216723,-0.008125848,-0.021442248,-0.015183054,-0.011699556,0.0037298407,-0.023621168,0.0021129982,-0.0044445824,-0.01139423,0.009707995,-0.012455933,0.012587778,-0.019207813,0.021830844,-0.009138977,0.018722065,0.005822021,-0.023648925,-0.016751321,0.030393865,0.0059816237,-0.0067900447,-0.038693193,-0.021470005,-0.0124975685,0.011345655,0.009888415,0.01448913,-0.008896104,0.025480883,-0.019402111,0.0005226114,0.018749822,0.022802338,-0.011283202,0.0070190397,0.0071682334,-0.008493628,0.0012820243,0.005086462,-0.03636161,0.044522155,-0.008701805,-0.0012134993,-0.018444495,0.0048956326,0.0025675183,0.007980124,-0.0231493,-0.024606539,0.007133537,-0.0019568652,-0.005658949,-0.012830652,0.020109912,0.037610672,0.00892386,0.004000471,-0.040247582,-0.03927609,0.01904127,0.045632433,0.025897238,0.016723564,-0.009735752,-0.008160545,0.003108779,-0.0147667,-0.009860658,0.013642543,0.02342687,0.003938018,0.0030098946,-0.0046458202,0.008993253,0.013982565,-0.019152299,-0.021109164,-0.03264218,0.022566404,0.005495877,-0.016626416,-0.0012525326,0.0016836327,0.01850001,0.013996444,-0.003297873,0.019221691,0.027104666,0.023635047,-0.015654922,-0.023565654,0.010589278,-0.015779829,0.008729562,-0.012462872,0.010034139,0.01065867,-0.006335525,0.008861408,0.0011692616,0.016543144,0.0111235995,0.0010053222,-0.005221777,0.0003840435,0.012108971,-0.015460623,0.015654922,-0.01831959,0.010353344,0.0018302242,-0.014190743,-0.004607654,0.016695809,-0.006626973,0.02196963,-0.0025519049,-0.0058254907,8.382654e-06,-0.018902486,-0.034335352,-0.011241566,0.04901878,-0.0218586,-0.026299713,-0.01576595,-0.04185749,-0.017597908,-0.010290891,0.010512946,-0.027354479,-0.021664303,-0.012095093,0.007827461,0.00014344708,0.011158296,0.011165235,-0.0039970013,0.00073512556,-0.0065922765,-0.024870232,0.0008465871,-0.0014988756,-0.011012572,-0.014600158,-0.015099783,-0.0051627937,-0.0036361609,-0.01339967,0.026716068,-0.0034678844,-0.03808254,0.011033389,-0.011602406,-0.016876228,-0.021733696,0.009819022,0.018888608,0.005176672,-0.0028502923,-0.0042676316,-0.016834592,-0.021816965,-0.021261826,0.021553274,0.006699835,-0.0028294744,-0.010346404,-0.019624166,-0.016848471,0.0042676316,-0.013982565,-0.03142087,-0.017264826,0.00094807346,-0.014239318,0.015058148,0.00956921,-0.010436615,0.008812833,0.0024374076,0.03425208,0.0008431175,0.0043092673,-0.017167676,0.005724872,0.000234633,-0.022441497,-0.02277458,-0.024814717,0.0048158313,0.011762009,-0.009270823,-0.022205563,-0.015849221,0.012761259,-0.020248698,0.006335525,-0.0051142187,-0.034224324,-0.027382236,0.016112912,0.0048609367,-0.0155577725,-0.008042578,-0.023024393,-0.010887666,-0.0016333233,0.009950868,0.014114412,-0.005395258,-0.0071890512,-0.012032639,-0.02223332,-0.015238568,-0.028367607,-0.011234627,0.025369857,0.005405667,0.025827846,0.021456126,0.019527018,0.039581418,-0.013469062,0.010429676,-0.0036153432,0.015793707,0.0071404763,-0.027743075,0.003899852,0.009319398,0.0074666208,-0.0023853632,-0.011415048,0.00091337727,2.9112274e-05,-0.009069584,-0.020193184,-0.0062487843,-0.024356727,-0.0004497494,0.012435116,-0.020734444,-0.008916922,-0.048685696,-0.024356727,0.060288105,0.0053362744,0.026577283,0.0030133643,0.008771198,0.008077274,0.0506842,0.018958,-0.011512197,0.020970378,0.0037506584,-0.029089287,0.0044654,0.026091537,-0.0044758087,0.029838726,-0.009194491,0.00015526546,0.008812833,0.01384378,0.0004057286,0.020984257,0.001062571,-2.481591e-05,-0.020623418,-0.04510505,-0.0054542413,-0.001977683,0.020609539,0.012317148,-0.008667109,0.009645541,-0.023301963,-0.012289392,0.0019169647,-0.009832901,0.0423016,-0.012185303,0.040330853,0.03297526,-0.004847058,-0.021900237,-0.012643293,-0.027645927,0.016459873,0.018097535,0.05656867,-0.025203314,-0.029394614,-0.011824463,0.0011102782,0.025286585,-0.03675021,0.0075776484,0.0065506413,0.019846221,-0.022261078,-0.015363474,-0.023801588,0.012095093,-0.011775888,-0.0004905174,0.014641793,-0.009805144,0.0016298536,0.015016512,-0.041246835,0.024814717,-0.01102645,-0.008847529,-0.0051905503,-0.0016957764,-0.02616093,0.018305711,0.00022075452,0.002680281,-0.0015066821,0.04080272,0.010707245,-0.015155297,0.009458182,-0.023898738,-0.012927801,0.025716817,-0.01702889,0.008410357,0.019346597,-0.01157465,0.010332526,0.0074319243,-0.015890855,-0.02033197,-0.0022899488,-0.0054160757,0.017195433,-0.0076886765,-0.0073486534,-0.009347154,0.007591527,0.0012698807,-0.028131673,0.0060753035,0.012865348,-0.009208369,-0.007945428,0.01604352,0.003906791,0.027576534,0.016099034,-0.009361032,-0.0007364267,0.020456875,-0.030643677,0.022122292,0.037305348,-0.00041071617,-0.026355227,-0.0038200507,-0.032225825,-0.0075013167,0.009145916,-0.030865733,-0.038804222,-0.028325971,-0.0060440768,0.018874729,0.018541645,0.015807586,-0.012948619,0.01859716,-0.011623224,-0.020637296,-0.0084242355,-0.00046362786,-0.03178171,-0.001180538,-0.006040607,-0.028589662,0.03491825,-0.019901736,-0.0007797969,0.010526825,-0.005232186,-0.009666359,-0.00075334107,0.014433616,0.0010807863,0.008903043,-0.021206314,-0.024190186,-0.015266324,0.027507141,-0.008084212,-0.012414298,0.026688311,0.022344347,-0.0013410079,0.015044269,-0.022163928,-0.022899488,-0.014086654,-0.00032766216,0.00077719474,0.0021025892,0.021331219,0.013406609,0.024620418,-0.025938874,-0.029200315,-0.015321839,-0.039387118,-0.024648175,-0.011949369,0.0006900205,0.015030391,0.01221306,-0.002862436,0.028312093,-0.007959306,0.012095093,-0.013233128,-9.819293e-06,0.0037229015,-0.021664303,0.035528902,-0.010852969,-0.0056624184,-0.015113661,0.009409607,0.016293332,0.019124541,0.04307879,-0.002616093,-0.009520635,-0.013253946,0.007411107,-0.0043925378,0.01768118,-0.012247756,-0.039054036,0.0050621745,0.006845559,0.00012609898,-0.018028142,-0.011331776,-0.020748323,-0.019457625,-0.025744574,-0.028367607,0.0084242355,-0.0019256386,-0.025314342,0.0068733157,-0.008216059,0.0030046902,0.04091375,0.029283587,-0.010526825,-0.015530015,0.011963247,-0.008257694,-0.020748323,-0.005086462,-0.015974127,0.028478635,-0.018611038,0.02432897,-0.012379602,0.013351095,-0.014600158,-0.001249063,-0.03161517,0.018527767,-0.0070953714,-0.016112912,0.0033290996,-0.0046874555,0.00033264974,0.00033807103,0.00094807346,0.017514639,-0.033336103,0.0059920326,-0.0049893125,0.0010018526,-0.002067893,0.0042953887,-0.015099783,-0.007508256,0.023399113,0.19374354,0.015599408,0.014433616,0.035390116,-0.0014503008,-0.0035320723,-0.0048088925,0.01648763,0.011470561,0.017903235,-0.010159045,0.022968879,-0.023066029,-0.00044758088,-0.00401088,-0.011227688,-0.039498147,-0.011879976,-0.018846972,0.010950118,0.048519157,0.01794487,-0.006325116,-0.016348846,0.008875286,-0.0025640486,-0.0056554796,0.00892386,0.025716817,0.009853719,-0.020040521,-0.018153047,-0.0057214024,0.015460623,-0.013281702,0.0019013514,-0.001977683,0.00023268134,0.023371356,0.0075429524,0.004354372,0.0019360476,0.012511447,-0.0071023107,0.019207813,0.0097010555,0.009728813,-0.026188686,0.0041947695,0.003209398,-0.018985756,-0.0028468226,0.008084212,0.02450939,-0.017903235,0.009742691,0.025813967,0.011054207,0.00455561,0.005686706,-0.0156688,0.024717567,0.005249534,-0.004135786,-0.006259193,0.0065402323,-0.03763843,-0.016876228,0.0077303117,0.0097496305,0.012310209,-0.009125099,-0.011130539,-0.013496819,-0.007827461,-0.012324087,0.0112693235,0.016376603,0.038665436,0.021525517,0.0013063117,-0.0016333233,-0.001557859,-0.005166263,-0.010922361,-0.024731446,0.017653422,0.00084051525,-0.02113692,-0.006963526,0.007681737,-0.01740361,-0.017473003,0.024106914,-0.023787709,-0.008937739,0.021539396,0.028395364,-0.011671799,0.0069288295,0.0055895564,0.020248698,-0.002022788,-0.0015465828,-0.0056797666,-0.01795875,-0.01275432,0.0076956153,0.013191492,-0.015738193,0.00793155,-0.030726949,0.0065922765,-0.011421987,-0.016876228,0.0050517656,0.0039241393,-0.028242702,-0.0120881535,0.010235377,-0.0048539974,-0.015002633,-0.0011562506,-0.00012360519,-0.028839475,-0.025147801,-0.008334026,-0.0014780578,-0.013496819,-0.021400612,0.009534514,-0.020165427,0.026369106,-0.010103531,0.018805336,0.021247948,-0.0047880746,-0.010283952,-0.00011319633,0.0048262402,-0.0131012825,-0.0010096593,0.009936989,0.0114775,0.020012764,-0.010540703,-0.0005724872,0.016196182,-0.01430871,-0.017792208,-0.00029405023,0.002341993,0.015543894,-0.021567153,0.028589662,-0.0060024415,-0.027451627,-0.02468981,0.033308346,-0.0028051871,0.0020991196,0.0142809525,0.020484632,-0.007119659,-0.013656422,0.0017937932,-0.17897683,0.009465122,0.020970378,-0.011234627,0.0019638045,0.0065020663,0.032031525,-0.0023836284,-0.012622475,-0.009874537,-0.019110663,0.006668608,-0.041885242,-0.00026564274,0.016348846,0.025730696,-0.011817523,0.01904127,0.013836842,0.0211508,0.025855603,0.013503758,0.018846972,-0.0020904455,0.010818273,0.018139169,-0.019485382,0.054070547,-0.0037298407,-0.0070919017,-0.0071682334,-0.005714463,0.027770832,-0.0074596815,-0.0010296095,-0.0211508,-0.020276455,-0.006134287,-0.019735195,0.029588914,0.015418988,-0.0013921848,0.017667301,0.0041704825,-0.00034089008,0.028672934,0.017001135,-0.015543894,0.0051246276,-0.02187248,0.017875478,-0.019901736,0.03891525,0.0034314534,0.020109912,0.023093786,0.004801953,0.02040136,-0.0008465871,-0.014079715,-0.011873038,-0.027104666,0.010728063,-0.021095285,-0.03619507,-0.0220529,-0.02023482,0.02067893,-0.014877727,0.014447494,-0.0074804993,-0.008646291,-0.0018753292,-0.018971877,0.010277012,0.008396478,-0.041246835,0.010360283,0.02770144,0.0070919017,-0.0030914308,0.050822984,-0.007882975,-0.00030510966,0.005849778,-0.011671799,0.012650232,-0.0011415047,0.005221777,-0.00084745453,0.0011944164,-0.0074666208,-0.003490437,-0.014391981,0.010034139,0.020789959,0.0024616949,-0.012775138,0.022760702,-0.00273406,0.012442054,0.005707524,-0.018624917,0.010547643,0.02013767,0.035667688,-0.014391981,0.022385983,0.049546164,0.009950868,-0.03633385,0.018153047,0.02351014,0.019374354,-0.0005573076,0.017653422,0.000974963,6.3266336e-05,-0.004042106,0.003681266,-0.009138977,-0.005731811,0.0011467092,-0.006005911,-0.02377383,-0.013115161,-0.09775999,-0.012809834,0.012719624,0.010485189,0.005329335,0.007265383,0.0015647983,-0.010214559,-0.0025623138,0.018971877,-0.036028527,-0.020179305,-0.0023454626,-0.005138506,0.032919746,0.01704277,-0.0029960163,0.0024478163,0.009819022,0.027673684,-0.008805893,-0.027298965,0.003591056,-0.017903235,0.013087404,0.0061099995,-0.03106003,0.027867982,0.028922746,0.018971877,0.0015882183,-0.02779859,0.036028527,-0.027743075,-0.018999634,-0.027257329,-0.0007897721,0.0005490672,-0.0041392557,-0.05196102,0.024009766,0.025106166,0.02441224,-0.019998886,0.024273457,-0.019332718,-0.009395729,0.024356727,-0.00875038,0.011317898,-0.012129789,-0.005433424,-0.014822214,-0.011560772,0.0133163985,-0.01239348,-0.017001135,0.00076635217,-0.03061592,-0.03308629,-0.01804202,0.001439892,-0.0421073,0.020734444,0.008160545,0.0118938545,-0.029228073,-0.0011579854,0.024023645,0.008701805,-0.047880746,0.0522941,-0.027479384,0.011081964,-0.022927243,0.012164485,-0.01093624,0.0019759482,0.02686873,-0.0006115204,-0.012150607,-0.04255141,0.0026195624,-0.010506007,0.0013939196,0.011081964,-0.011179113,0.0074041677,0.0024287335,-0.04466094,0.028645176,0.03516806,0.010943179,-0.00565201,0.0048609367,0.021567153,0.012879226,0.026854852,-0.011609346,0.013406609,-0.030005267,-0.014405859,-0.06855968,0.018361226,0.026840974,0.015044269,-0.012469811,0.00037038187,0.006023259,-0.0087850755,-0.01384378,-0.015460623,-0.02251089,0.013094343,-0.034751706,0.00031139833,-0.008868347,-0.03511255,0.025022894,0.00016936079,0.032364607,0.00011297948,0.0024859821,0.0030463256,0.025841724,0.026896488,-0.020429118,0.0123032695,0.0050899317,0.032198068,0.0053987275,-0.015682679,0.03983123,-0.0047707264,-0.0050968705,0.028894989,0.01977683,-0.014752821,-0.026341349,0.005367501,0.038665436,-2.9274912e-05,-0.020429118,-0.015807586,-0.0017660361,-0.009222248,-0.015932491,-0.0010244051,0.006207149,-0.0097010555,0.025744574,-0.012157545,0.019998886,0.014780578,-0.008306269,-0.006807393,0.0021945343,-0.03033835,0.002140755,0.009590028,0.015002633,-0.006491658,0.008000942,0.018430617,0.019166177,-0.024731446,-0.01330252,-0.022261078,0.0010035874,-0.0037992331,0.010346404,-0.011033389,-0.01784772,0.00022964542,0.0049164505,0.009055707,0.016390482,-0.013378852,0.0100618955,-0.005620783,-0.005395258,-0.019207813,0.0014919363,-0.007182112,-0.02679934,0.03838787,0.008611595,0.023482382,-0.009888415,0.0009983829,-0.015474502,0.007053736,-0.025869481,-0.002732325,-0.0022274957,0.010339465,-0.0042155874,0.014038079,0.005860187,-0.03261442,0.013240067,0.019638045,0.01084603,0.0034696192,-0.018916365,-0.041579917,-0.012698807,0.00019841886,-0.010748881,-0.01886085,0.008757319,0.0066928957,-0.0027271206,-0.024190186,-0.016459873,0.008694866,-0.03264218,0.01348988,-0.007223747,-0.0180559,-0.018444495,0.039220575,0.021803087,0.013226189,-0.0013921848,0.0025414962,0.01931884,6.834201e-06,0.022039022,-0.0015205606,0.012400419,-0.009215308,-0.009187552,-0.0032510331,0.009201431,-0.026133172,-0.009825962,-0.00058723305,-0.025744574,0.015530015,-0.0057630376,0.10214559,-0.010762759,-0.0033742047,0.00017077032,-0.010880726,0.024717567,-0.008334026,0.0049684946,-0.009069584,-0.021234069,0.021886358,-0.0038235204,-0.0074319243,-0.028756205,-0.0044029467,0.015044269,-0.009819022,0.0030220384,-0.013149857,0.0031851104,-0.008847529,-0.00035129895,0.020345848,0.00033893844,-0.0076401015,-0.0057005845,0.013732753,-0.016085155,-0.021775331,-0.033447128,-0.012747381,0.014211561,0.0034887022,-0.025800088,-0.0036569787,-0.011498318,-0.022219442,0.008646291,-9.313759e-05,0.016196182,-0.014433616,0.027548777,-0.019749073,0.003408901,-0.0335304,0.0031486794,0.008896104,-0.009909232,-0.0077233724]', 'plot a line chart of commodity prices monthly relative change for a country from 2008-01-01 using HDX data as an image', '{"mem_type": "recipe", "custom_id": "55a94900-60d9-4493-b33d-2d7d42376340"}', '55a94900-60d9-4493-b33d-2d7d42376340', '2e889839-3e41-4dc9-b44f-598822693bd8'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.016531734,-0.0153025575,-0.014750119,-0.013182574,0.011186888,0.022884782,-0.0045679794,-0.0015545976,-0.012754434,-0.02740097,-0.0074579255,0.013845501,0.00514804,-0.009280974,-0.013327589,-0.0055865385,0.008576614,-0.024445422,0.008990943,-0.031875726,-0.035383713,0.010959007,0.01874149,-0.009508855,0.0033025488,3.4473484e-05,0.024514478,-0.029472616,0.012740622,0.00393958,0.012077696,-0.015205882,0.0042710435,-0.032870114,0.0021700491,-0.0022321986,0.0014389307,0.012747528,0.015178259,-0.00049676344,0.0023634026,-0.0077617667,5.5621535e-05,-0.0047855023,0.0012895996,0.029168775,0.016725088,-0.009619342,-0.020412618,0.035577066,0.0057729864,0.02343722,-0.028340116,0.0017065183,0.015854998,0.01562021,-0.010558489,-0.019418228,0.01086233,-0.03394737,0.015675453,0.005565822,-0.027994841,-0.0020474768,-0.017719477,-0.04618389,-0.0122986715,0.01689082,0.026309904,0.0020388449,0.02952786,0.034610298,-0.00902547,0.0038083757,0.037262004,0.0058420417,-0.013120424,-0.002447995,0.006643078,-0.0094398,0.033974994,-0.029610725,-0.015661644,0.009308596,0.008293489,-0.012250333,0.0034665542,0.023326734,-0.015205882,0.0029348317,0.013562376,0.010606827,0.030798469,0.008769968,-0.0022408303,-0.0058420417,0.015095393,0.023492465,0.03930603,-0.03206908,-0.023672007,0.005417354,-0.01249893,-0.007002163,-0.02412777,-0.0073612486,0.007485547,0.008245151,0.0113111865,-0.017526124,-0.0352456,0.036295235,-0.013541659,-0.035411336,0.004599054,-0.020454051,0.026019873,0.0008256372,-0.010889952,-0.012554174,0.011228321,0.017760912,-0.0062183905,-0.018755302,0.02682091,0.027387159,-0.005448429,-0.02385155,-0.009218824,-0.013106613,0.000501511,0.013479509,0.009778169,-0.022525696,-0.01363143,0.029831702,-0.018838167,0.019708259,-0.00801727,-0.04112908,0.012319388,0.02398966,0.026199415,-0.011525257,-0.020053532,0.013645241,0.007520075,0.021959446,-0.0057902504,-0.009702208,0.015123015,-0.009971523,-0.008528275,-0.02922402,-0.010130349,0.012574891,-0.023644386,0.0071609896,-0.0050617214,-0.011359525,-0.015813565,-0.0027880901,0.0076167514,0.015813565,0.021462252,0.048752733,-0.018465271,-0.010606827,-0.0066637946,-0.015413046,-0.0040293513,0.03974798,-0.008997849,-0.012374632,0.01759518,0.017001309,-0.01944585,0.016877009,-0.026696611,-0.011815287,-0.01314114,0.024362557,0.017346581,0.0016374635,0.00072852883,-0.024031093,0.023948226,-0.013224007,-0.00037354365,-0.0149296615,0.013058275,-0.007692712,0.005420807,0.012395348,-0.633316,-0.021683227,-0.022000879,-0.019487282,0.00335434,-0.003915411,0.008183002,-0.012533458,-0.03264914,0.010302986,0.01228486,0.021614173,-0.01603454,-0.023948226,0.0060112257,-0.02398966,-0.03325682,-0.006967636,0.033836883,0.014957284,-0.0017315507,0.006577476,0.013099708,0.0064255553,0.012243427,0.009888656,0.026503257,-0.008210624,0.017042741,0.0072645717,-0.013949082,0.0053310357,0.004823482,-0.009356935,0.040245175,-0.008852834,-0.010033672,0.0061389776,0.029085908,0.042620663,-0.023892984,-0.0046715615,0.04005182,0.021876581,-0.033726394,0.018465271,0.0009348302,-0.017111795,-0.0020923624,-0.02528789,-0.010883046,-0.025950817,-0.021213654,0.012250333,0.02371344,-0.0064324606,-0.001152353,-0.0144048445,0.023022892,-0.0051722093,-0.011221415,0.013293061,-0.018327162,-0.0149296615,0.0042848545,0.025646977,-0.020495484,0.01249893,0.0054380707,-0.0100682,0.008300395,0.0045783375,0.00645663,-0.012588702,0.0156064,0.021973258,0.008714724,-0.037676334,-0.009888656,0.005524389,0.0075476966,-0.014888229,-0.004274496,0.0133414,0.018465271,-0.008486843,-0.04201298,0.0042606853,0.010233931,0.018064752,-0.0054000905,0.022111367,-0.017539935,2.0338815e-05,-0.01618646,0.02313338,-0.017236095,0.023340544,0.014984906,-0.024210636,-0.009667681,-0.0058420417,-0.010503245,0.0013060002,0.021973258,0.023962038,-0.03878121,0.0015943042,0.04485804,-0.047924075,-0.016158838,-0.007019427,-0.038007796,-0.005862758,0.025937008,-0.02711094,0.013831689,0.008880456,0.008141569,-0.002717309,0.026530879,0.00072119175,0.04300737,-0.03433408,0.0078032,0.023312923,-0.002206303,-0.007941309,-0.026061306,-0.003981013,0.007927499,0.010807087,0.005652141,-0.021945637,0.025591733,0.009633154,0.017263716,-0.002244283,-0.021918014,-0.00563833,-0.0037703956,-0.0047129947,-0.0034268477,-0.02753908,-0.0046439394,-0.0048821787,-0.015081583,-0.0033577927,-0.00010520077,-0.010372041,-0.019625392,-0.014915851,-0.01213294,0.025923196,0.032483406,-0.0061113555,-0.008044892,-0.017070362,-0.0051169656,-0.0146810645,0.0018472177,0.0144048445,-0.010399663,0.0022649996,-0.005969793,0.01504015,-0.003186882,0.018575758,0.010537772,-0.02327149,0.017236095,-0.0060423007,-0.02513597,0.025729842,0.0030107922,0.045299992,-0.048476513,-0.016614601,-0.0004199399,-0.0010392757,0.014556766,0.01092448,-0.008521371,-0.018561948,0.011476918,-0.00070133846,0.0033008226,0.014598198,0.009798885,0.0063668587,-0.015799753,0.012519647,0.008500654,0.008887361,1.912496e-05,0.03190335,-0.026807098,0.009432894,0.003998277,0.02727667,0.04256542,0.017484691,-2.35353e-05,0.014025043,0.030964201,-0.030328896,-0.00034139,-0.019625392,0.00050841644,0.0341131,0.03240054,-0.035162736,-0.005755723,-0.021061733,-0.010275364,0.0044851135,-0.0017410457,-0.003915411,-0.021793716,0.0016685382,-0.00016022887,-0.0095157605,0.014308168,0.010593017,0.019956855,-0.019321552,0.005013383,0.01092448,0.0003351319,-0.01171861,0.0013206743,0.02513597,-0.013072086,0.013610714,0.023354355,-0.00031117848,0.0007708249,0.002772553,0.012340104,0.0063806693,-0.0010142433,-0.007085029,0.020605972,-0.019487282,-0.012250333,0.0049270648,0.009812696,0.0029020307,-0.0133828325,0.027041884,-0.005003025,0.007520075,-0.013403549,0.016586978,0.01575832,0.0057350066,-0.00688477,0.0036633606,0.045769565,0.02810533,0.027083319,0.0031109217,-0.0061942213,-0.008403977,-0.0059249075,-0.03618475,-0.025660787,-0.025633166,-0.029085908,0.011739327,-0.003387141,-0.012188183,-0.00080621557,-0.004989214,-0.0058109667,-0.012063885,0.013534754,0.0005770397,0.0014035401,0.0017634886,-0.017526124,-0.014984906,0.022332342,0.0046888255,0.0046750144,-0.035991397,-0.027691001,0.02143463,-0.018700058,-0.012367726,0.024970239,-0.00610445,0.013154952,-0.0133828325,0.0071609896,0.0076581845,0.015095393,-0.0035425145,-0.0023288752,0.023906793,-0.00865948,-0.011594311,-0.007602941,-0.028892554,0.036295235,-0.008721629,-0.0034682807,-0.01957015,-0.009826507,-0.019956855,8.383692e-05,-0.010558489,-0.015178259,0.003238673,-0.0024238257,0.023672007,-0.01462582,0.021351764,0.03449981,0.028160574,-0.00059344026,-0.043504566,-0.019556338,0.010807087,0.05778511,0.019459661,0.0044678496,0.007851538,-0.014308168,-0.00047949972,-0.020384995,-0.03378164,0.004809671,0.009633154,-0.009978428,-0.0064877043,0.011559784,-0.012975409,0.030687982,0.0053068665,-0.019376796,-0.0047682384,0.0077479556,-0.002239104,-0.0016426425,-0.013486415,0.013431171,0.022622373,0.018244294,0.007506264,0.03190335,0.037400115,-0.0012628408,-0.028119141,-0.014239113,0.033118714,-0.018382404,0.029831702,-0.0026499804,0.03433408,0.010358229,0.008155379,0.026599934,-0.0019404417,0.022359965,0.016586978,-0.008024176,-0.00082865835,-0.001593441,0.010641355,-0.014211491,0.017912831,-0.026102738,0.019915422,-0.0003215367,-0.018465271,-0.016683655,-0.01802332,-0.026006062,0.018106185,0.0029279261,-0.015482101,-0.0038636196,-0.009432894,-0.026627555,0.011331903,0.021462252,-0.025218837,-0.015371613,0.006387575,-0.029168775,-0.016877009,-0.010917574,0.0018178693,-0.008977132,-0.029831702,-0.016863197,0.003321539,0.014888229,0.013990516,0.012291766,0.0012809677,0.025702221,-0.04413987,-0.022884782,-0.020274509,0.0013940451,-0.019045332,-0.023602953,-0.0017600359,-0.0069400137,0.0056901206,-0.020661216,0.020661216,-0.014805363,-0.011552879,0.013886933,-0.007091935,0.013244723,0.016062161,-0.003684077,0.012050074,-0.00036620657,-0.012961598,0.010668976,-0.028050086,-0.02839536,-0.0114009585,0.018506704,0.0027017717,-0.011470013,0.0007000437,-0.007278383,-0.0008558487,0.017829966,-0.027373347,-0.011235227,-0.009059998,0.012257239,-0.013748824,-0.0010107906,0.0007052228,0.0031195534,-0.016062161,-0.0114009585,0.024348745,0.0066637946,0.0006810536,-0.018258106,0.020826947,-0.0035390619,-0.03947176,-0.026475634,-0.016117405,-0.029721214,0.021931825,-0.0067846403,0.0020975415,-0.042372067,-0.0067259436,-0.02285716,0.0015865355,-0.0052826973,-0.01603454,-0.015136826,0.005068627,0.002420373,-0.021241276,-0.00041864513,-0.029003043,-0.021324143,0.029721214,0.0025809256,-0.006370311,0.005672857,0.0010142433,0.004816577,-0.022166612,-0.010026766,-0.04643249,-0.0221528,0.0131963845,0.014377222,0.0402728,0.027525268,0.023243867,0.026296092,0.009999145,-0.00019108776,0.004333193,0.016435057,-0.008321111,-0.007872255,0.008859739,0.009170486,0.011753138,-0.026171794,-0.00930169,0.020909812,0.0012429876,-0.016020728,-0.021172222,0.001848944,-0.041819625,-0.00036858034,0.009039282,-0.017691856,-0.007292194,-0.03690292,0.0043884367,0.0477031,-0.014135531,0.017760912,-0.0056901206,-0.01127666,0.0009693577,0.021310331,0.011656461,-0.01603454,-0.0036184748,-0.0020215812,-0.016863197,0.008735441,0.009943901,0.025205025,0.0100405775,0.024514478,-0.014363412,0.016075972,0.027911976,0.0065671178,0.020716459,0.015951674,-0.019072954,0.0042675906,-0.01574451,-0.010448001,-0.014667253,0.0023823928,-0.010399663,-0.008894267,0.025343135,-0.020523105,-0.009377651,0.0064359135,-0.009778169,0.024721641,-0.014708686,0.027124751,0.0064048385,-0.00033556347,-0.0070366906,0.022815727,-0.018271917,-0.005127324,0.030770848,0.015288747,-0.028505849,-0.030411763,0.012277955,0.017388014,0.021268899,-0.038864076,0.020122588,0.02753908,0.010254648,-0.02085457,-0.008079419,-0.037400115,-0.0060837334,-0.00489599,-0.0044540386,0.013886933,0.0018109638,-0.0095779095,0.0008226161,-0.05695645,0.028947799,-0.012747528,-0.009495044,-0.005548558,0.0066327197,-0.032980602,0.0006927066,-0.0023962038,0.0043608146,0.023823928,0.016255515,0.034997005,0.01086233,0.00536211,-0.014791552,0.009950806,0.026047494,-0.0070435964,-0.022815727,0.0011661641,0.010855425,0.005444976,0.004416059,-0.02836774,0.0005701342,-0.024321124,-0.012229617,0.019183442,-0.007851538,-0.0041847248,-0.024252068,0.0034803653,-0.0102270255,0.0065153264,0.00801727,-0.004526546,-0.010558489,0.0026983188,0.011877437,0.0047682384,0.020481672,0.016421247,-0.014598198,-0.0058972854,0.030743226,-0.015592588,-0.014391034,0.020978868,0.009881751,-0.053890415,-0.008162285,-0.04361505,0.004826935,0.02300908,-0.01249893,-0.02099268,-0.019059142,-0.0031989666,0.030798469,-0.0015235229,0.0050720796,-0.012747528,-0.011518352,0.0038152812,-0.019528715,-0.007637468,0.020978868,-0.0255503,0.0023116115,0.010448001,-0.037400115,0.008431599,-0.034140725,0.0049132537,0.025812708,-0.020619782,-0.029085908,0.007920593,0.028837312,-0.03367115,-0.003349161,-0.021531306,-0.009633154,-0.026006062,0.022636184,-0.0029987076,0.021890393,0.03933365,0.0075615076,0.003753132,0.009280974,-0.012271049,-0.022318533,-0.016683655,0.0054656924,0.0051963786,0.003483818,0.011615029,0.02825725,0.012851111,-0.038090665,-0.019694448,-0.018271917,-0.048476513,-0.014294357,-0.0018834714,0.019280119,0.026793288,0.023022892,-0.004526546,0.0139697995,-0.0063426895,0.017208472,0.007271477,-0.017581368,0.016904632,-0.020315941,0.0094398,-0.012830393,-0.026572311,-0.025812708,0.0057867975,0.0128580155,0.02258094,0.039830845,0.0027932692,-0.0009676313,-0.011974113,0.0058316835,-0.0011083306,0.011041873,-0.0133828325,-0.045465723,0.0015744509,0.0006141567,0.010565395,0.001876566,-0.0078032,-0.014529143,-0.017774722,-0.028284872,-0.009198108,0.013403549,-0.012056979,-0.010800181,0.008521371,0.0011160993,0.0027949957,0.040935725,0.0023979302,0.00514804,-0.01462582,0.011511446,-0.006377217,-0.018064752,-0.009591721,-0.020675026,0.019238684,-0.021600362,0.026006062,-0.028947799,0.033312067,-0.009260258,-0.030826092,-0.03433408,0.014750119,0.014998716,0.0015571872,-0.010088916,0.0022011239,-0.02556411,-0.01589643,0.0031057426,-0.0040500676,-0.017001309,-0.009633154,-0.0044022477,-0.01805094,-0.01957015,0.01462582,0.004637034,-0.02343722,0.04458182,0.18318875,0.0066189086,0.013106613,0.008486843,-0.009709114,0.0063288785,0.011269754,-0.0080310805,0.01320329,0.0034147631,-0.036820054,0.014391034,-0.009943901,0.0013180848,0.0054518813,-0.016006917,-0.036405724,-0.013790256,-0.021324143,-0.0028882197,0.011608123,0.009198108,-0.02186277,-0.028754445,0.027000451,-0.012188183,-0.020951245,-0.0028951252,0.034720786,0.015647832,-0.006615456,-0.016214082,-0.002763921,-0.0016624959,0.0039499383,-0.007188611,0.009626248,0.008825212,0.007872255,-0.0026171794,0.0011782487,0.0035597782,0.004906348,0.0056901206,0.04527237,0.019321552,0.018078564,-0.009529571,0.012084601,-0.0052861497,-0.022111367,-0.023754874,0.025453623,0.03560469,-0.0075753187,-0.0016081152,0.022221856,0.009101431,0.011193793,0.020702649,-0.0017453617,0.04256542,-0.006843337,0.009177391,-0.0013923188,0.008362544,-0.0076719956,0.008459221,0.01930774,0.0052101896,0.00048338406,0.004208894,-0.0071609896,-0.0015053961,-0.03336731,-0.018769111,0.04049377,0.027345726,0.008100135,0.014584388,0.0005463966,-0.013817878,-0.019183442,0.020605972,-0.013866217,-0.036709566,0.007920593,0.026503257,-0.01916963,-0.004809671,0.0056797625,-0.020053532,-0.0048925374,0.022373777,-0.01845146,0.0019922329,0.002494607,0.013838595,-0.03477603,0.006384122,-0.012333198,0.045603834,0.004961592,0.0032990961,0.0011678904,-0.0060043205,-0.008763062,0.009343123,0.014971094,-0.01831335,0.008914983,-0.0544981,-0.011690988,0.0038429033,0.001821322,0.012733717,0.0033163598,-0.030770848,-0.0025757465,0.017443258,-0.009950806,-0.023451032,-0.0049028955,0.013797162,-0.04162627,-0.00023370756,0.004526546,0.0035062607,-0.01930774,-0.026475634,0.009508855,-0.028478226,-0.006466988,-0.007996554,0.009612437,0.019404417,-0.0222771,-0.0012723359,0.0073750596,0.0201364,-0.0131342355,-0.006574023,0.019031521,0.006860601,0.001254209,-0.0027293935,0.016283138,0.01412172,-0.0031489017,-0.034858897,-0.022000879,0.0037807538,0.031129932,-0.030190786,0.0300803,-0.004650845,-0.0056659514,-0.038007796,0.030190786,0.0021424273,-0.01759518,0.035135116,0.026088927,-0.005931813,0.0021078996,0.017263716,-0.17700143,0.0016573167,0.039223164,-0.011987925,0.005686668,-0.016780332,0.029555483,0.0043746256,-0.016283138,0.0016426425,0.008562803,0.008134663,-0.04499615,0.006750113,-0.007602941,-0.009481233,0.018216673,0.024196824,0.024473043,0.01716704,0.04800694,0.009294785,0.03378164,0.017498503,0.02383774,0.004492019,-0.016877009,0.048725113,-0.0018403122,-0.017760912,-0.0011920596,0.0023754872,0.03474841,-0.0061942213,-0.027801488,-0.015247314,-0.0067017744,-0.0076443735,-0.027318105,0.007602941,0.011380241,0.007989648,-0.0053172247,-0.0006508421,0.015261125,0.011104022,0.0059110965,-0.015661644,-0.0021631436,-0.00028959883,0.0050064777,-0.018824356,0.01716704,0.009881751,0.004723353,0.01051015,0.010109632,0.014542954,-0.0011204152,0.0029244735,-0.0050064777,-0.020661216,0.006349595,-0.011981019,-0.018921033,-0.026945207,-0.03267676,0.01632457,-0.0046888255,0.006560212,-0.017125607,0.018865788,-0.017415637,-0.033229202,0.01519207,0.0002246441,-0.031848103,0.018727679,0.03480365,-0.009122147,-0.004529999,0.048946086,-0.013886933,-0.012554174,0.0031799765,-0.004706089,-0.0153025575,0.0038670725,-0.008901172,-0.0064221025,0.0029469163,-0.016807955,0.0024687115,-0.019155819,0.010233931,0.013942177,0.013272345,-0.0034613751,0.014363412,0.0069331084,0.013845501,0.02287097,-0.03206908,0.010012955,0.018354783,0.015371613,-0.007837727,0.018106185,0.032262433,0.017899022,-0.028119141,-0.006183863,0.018700058,-0.00042727697,0.011497634,0.030991822,0.010275364,0.010931385,-0.004074237,-0.0118360035,0.014584388,-0.0057902504,0.0029072098,-0.016241703,-0.0078446325,-0.014556766,-0.09695303,-0.0073198155,0.017084174,-0.0045748847,-0.0144048445,0.012713,0.023644386,0.0055174837,-0.009343123,0.031295665,-0.03789731,-0.027925787,-0.0018834714,-0.014943473,0.049940478,0.015426856,-0.021144599,-0.006774282,0.033339687,0.034168348,-0.0067432076,-0.024583532,-0.0028088067,-0.0063219727,0.02628228,0.007167895,-0.03336731,0.005952529,0.01072422,0.04198536,0.008935699,-0.042703528,0.037565846,-0.007851538,-0.00901166,-0.017926643,-0.01591024,-0.02073027,0.00096504175,-0.038366884,0.0006158831,0.014266735,0.025633166,-0.004816577,0.0041605555,-0.01127666,-0.016780332,0.018865788,0.024031093,-0.008921889,-0.038118284,-0.010254648,0.0024997862,0.0051963786,0.017388014,-0.010254648,0.0024428158,-4.885092e-05,-0.043891273,0.0074648308,0.011559784,-0.010641355,-0.041653894,0.05024432,0.0092050135,0.020454051,-0.051045354,0.009729831,0.03353304,-0.02456972,-0.026157983,0.021890393,-0.028782068,0.013161858,-0.020923624,-0.010275364,-0.015841186,0.0037047935,0.023892984,-0.015164448,-0.004312476,-0.031323288,0.03361591,0.0028830406,0.009405272,0.011242132,-0.0065533067,0.020965056,0.008928794,-0.020661216,0.036129504,0.029804079,0.02113079,-0.006698322,0.021517497,0.015703076,0.0091428645,0.016227894,-0.030273652,0.004288307,-0.031682372,0.01574451,-0.06391718,0.023754874,0.0018851978,0.018382404,0.00923954,-0.01589643,0.005013383,0.013251629,-0.013817878,-0.010185593,-0.0075615076,0.016946064,-0.036930542,0.007865349,0.0022270193,-0.014984906,0.015371613,0.003753132,0.014750119,0.005769534,-0.014515333,-0.01127666,0.021821337,-0.0027621945,-0.022346154,0.0022235666,-0.021697039,0.015841186,-0.009550287,-0.010855425,0.032455787,-0.009177391,-0.014598198,0.026558502,-0.011380241,-0.029306885,0.0047578802,0.00902547,0.029804079,0.017788533,-0.027207617,-0.02824344,-0.002368582,0.003998277,-0.009073809,-0.00013249902,0.0005602076,0.00012268029,0.013168762,-0.0011644376,0.024845941,0.021089356,-0.025881764,-0.007520075,0.01419768,-0.014391034,0.0057246485,-0.0005312909,0.025315514,0.0033836884,0.0068398844,0.015205882,-0.007478642,-0.008176096,-0.018299539,-0.00589038,0.005161851,-0.005327583,0.009101431,-0.021517497,-0.029555483,0.008238246,-0.0088114,0.012312482,0.027028074,-0.009294785,-0.0037462264,0.0064186496,-0.0019335363,0.024058715,0.0034182158,-0.0062114852,-0.0029262,0.015551155,0.0020699196,0.00575227,-0.0042814016,0.015343991,-0.0087423455,0.004108764,-0.020467862,0.013175668,0.012830393,0.020550728,-0.011373336,0.030190786,0.005486409,-0.0076305624,-0.0012447139,0.03565993,0.0063944804,0.0049788556,0.00645663,-0.01930774,-0.032290056,0.0015606399,-0.007713428,-0.030743226,0.0042675906,-0.011083306,-0.017125607,-0.010482528,-0.001876566,0.01178076,-0.02371344,0.0017902474,0.010579205,-0.017443258,-0.013244723,0.016131217,0.025881764,0.020896003,-0.01291326,-0.022953836,0.023892984,0.004637034,0.015924051,-0.014349601,0.008652574,-0.011221415,-0.0056694043,-0.012809677,0.0007233497,-0.036709566,-0.026599934,-0.0006072512,-0.019956855,0.008887361,0.004088048,0.08374974,0.009343123,-0.0038290923,0.00014889955,-0.0146810645,0.015661644,0.020260697,0.019059142,0.010157971,-0.032842495,0.04226158,-0.010012955,-0.0070263324,-0.03394737,0.0051791146,0.0031419962,-0.029748835,0.003145449,0.00010784428,0.01562021,0.01127666,-0.014080287,0.016366003,0.018092375,-0.021241276,0.0071402728,0.00010196382,-0.009826507,-0.023230057,-0.0060699224,-0.006860601,-0.013735012,-0.008134663,-0.024624964,0.013714296,-0.008611142,-0.009571005,0.006073375,0.018769111,0.02671042,-0.016062161,0.012733717,-0.008963321,-0.020550728,-0.007706523,-0.0007893834,-0.0009995692,-0.010696598,-0.013589998]', 'plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image', '{"mem_type": "recipe", "custom_id": "b6a6d3dd-48b4-4b3e-b0a4-a485f22ede4e"}', 'b6a6d3dd-48b4-4b3e-b0a4-a485f22ede4e', '32acc96c-f5f4-4f74-bc95-4e0865ee1c0e'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[0.0019787615,-0.033968173,-0.012863645,-0.003669024,0.0020110053,0.011546735,-0.023269963,-0.00952385,-0.0155314095,-0.025347153,0.020541104,-0.009876836,0.000458628,0.002800134,-0.026786251,0.010929008,0.019074852,-0.02837469,0.0025438794,-0.01707912,-0.014499603,0.012714305,0.009720707,0.011051196,0.02807601,-0.007161555,0.011533158,-0.023147775,0.002971536,0.025252117,0.0013075777,-0.025048472,-0.014078734,-0.02565941,0.003770847,-0.0025812145,0.0139836995,-0.00933378,0.0021060403,-0.01809735,0.009537426,0.010243399,0.006177265,-0.00012929407,-0.013895453,0.0011370241,-0.0021874986,0.0040355874,-0.020961974,0.026650487,0.0065200697,0.021925898,-0.021532182,-0.0018497854,-0.0077928575,0.026555452,-0.027193543,-0.012578541,-0.0018039651,-0.032610532,0.0128025515,0.025550798,-0.035352964,-0.008234091,-0.0050809705,-0.030736985,-0.0052269166,0.004371603,-0.00041705027,-0.0035570187,0.041408043,0.033235047,-0.010772879,-0.0025116354,0.015694328,0.007772493,-0.0032736112,0.011105501,0.0040729223,-0.008960429,0.013012987,-0.019034123,-0.00687645,-0.010148364,0.0021433753,-0.02981379,-0.00918444,0.025958091,-0.009903989,0.009686767,0.02826608,0.019251347,0.002599882,-0.009795378,-0.014676096,0.020459646,-0.002170528,0.028347539,0.00831555,-0.041435197,-0.030302541,0.03502713,-0.011166595,-0.0025913967,-0.036303315,-0.020188117,0.008790724,0.020812633,0.018844053,-0.01754072,-0.03616755,0.010121211,-0.0039100056,-0.033886712,0.004164563,-0.024844825,0.008471678,-0.016644675,0.0042086863,-0.004456456,0.0131215975,0.02788594,0.016753288,-0.0128025515,0.008471678,0.005590086,-0.010630327,-0.03404963,-0.012374895,-0.0119743915,0.0008137359,0.014336686,0.006910391,-0.008064386,-0.030899903,0.029759483,-0.017282767,0.011295571,-0.018450338,-0.046458464,0.023460032,0.036140397,0.0044937907,-5.2475996e-05,-0.017595025,0.016332418,-0.0068085683,0.01847749,-0.019848708,0.0033805254,0.01031807,-0.017812246,-0.014608214,-0.01874902,-0.003801394,0.014961201,0.0024827856,-0.0065472224,0.0032379732,-0.02532,0.0014526756,-0.032474767,-0.01802947,0.0017284463,-0.012211978,0.032148935,-0.010365587,-0.007304107,-0.012408836,0.018341726,0.016807593,0.014038005,-0.0111122895,0.004833201,0.022835517,0.015001929,0.0010742332,0.031307198,-0.024614027,-0.0014603123,-0.009808955,0.021409994,0.0056511797,0.022020932,-0.019006971,-0.024125276,0.016359571,0.0024199947,0.01239526,-0.0010632024,0.032447614,-0.011193748,0.01779867,-0.002930807,-0.63819975,-0.021301383,0.005104729,-0.013549254,-0.0031887586,0.025007742,0.004157775,0.0059125256,-0.02826608,0.008722842,-0.0028612278,0.0006631226,-0.021735828,-0.030954208,0.010820396,-0.03079129,-0.007005426,-0.012768611,0.023188503,0.00095798523,-0.0238809,0.025849478,0.0102026705,-0.020894092,0.02441038,0.01280934,0.01606089,-0.023650102,0.021858016,0.0035536245,-0.011146231,0.0034314368,0.0020771904,0.012884011,0.04262992,0.023324268,-0.028157469,0.0032260937,0.02339215,0.039588805,-0.022197425,-0.026039548,0.036439076,0.010175518,-0.02470906,0.009130134,0.01953645,-0.0052065523,-0.0005731789,-0.037280817,-0.0032736112,-0.0166311,-0.030193929,-0.005532386,0.024614027,-0.0039846757,0.013854723,-0.048087634,0.010976525,0.01942784,-0.017676482,0.013399914,-0.023052739,-0.02373156,-0.011519582,0.015056236,0.0012795764,0.03383241,0.031117124,-0.009089405,0.005338922,0.02474979,-0.0044496674,-0.017717212,0.024559721,0.032366157,0.014187345,0.005023271,-0.015083388,0.023636525,-0.020310305,-0.014716825,-0.0006126354,0.0012235737,-0.009761437,0.012727882,-0.013929394,-0.017214885,0.0023945388,0.001416189,0.009476332,0.017690059,0.0024522387,-0.010175518,-0.007901469,0.02532,-0.004293539,-0.0035264718,0.02430177,-0.0337781,-0.013406702,-0.009605308,-0.003299067,-0.004341056,0.022292461,0.035651647,-0.028293232,0.019957319,0.020391764,-0.02180371,-0.0001400067,-0.0096596135,-0.018192386,0.0005286314,0.0042731743,-0.026718369,0.024206733,0.0062146005,-0.011960815,-0.00064148527,0.004256204,0.016984086,0.025523646,-0.018423185,0.021885168,0.041815333,0.014961201,-0.024627602,-0.020527529,0.00063087867,-0.005423775,-0.003300764,0.034131087,-0.02614816,0.03586887,0.024627602,0.016617524,-0.0190477,-0.0050707883,-0.0028849866,-0.0061535067,-0.03049261,0.011315935,-0.048956525,-0.010677844,-0.009978659,0.0069443323,3.073253e-05,-0.02180371,-0.015748633,-0.001219331,0.0072226487,-0.0038896406,0.020038778,0.029542262,-0.0067576566,-0.005820885,-0.026609758,0.0101551525,-0.02233319,0.02328354,0.003098815,-0.024668332,-0.007847164,-0.0061195656,-0.0057088793,0.032556225,0.018382456,-0.0011921782,-0.015802938,0.018626831,-0.01836888,-0.01614235,0.06098522,0.010956161,0.041543808,-0.03480991,0.014540332,7.451114e-05,0.0062247827,0.02875483,-0.002565941,-0.03404963,-0.0015214061,0.0055425684,-0.0117978975,-0.0021688312,0.021097736,-0.014268803,0.010413105,-0.00918444,-0.0061908416,0.012123732,0.0127075175,-0.009035099,0.004100075,-0.011254841,0.01481186,-0.001734386,0.0048128366,0.044313394,-0.016671829,0.034755602,-0.02263187,0.023120621,-0.011119078,-0.0025761232,-0.026175313,0.002331748,0.031144278,0.034891367,-0.043851797,0.008471678,0.003699571,0.007297319,0.039778873,-0.012646424,-0.004405544,-0.014418145,0.0027084933,0.007243013,-0.004901083,0.019903013,-0.0020890697,0.012028697,-0.0057224557,-0.0024098123,0.007853952,0.011030831,-0.0098836245,-0.012408836,0.02780448,-0.009903989,0.032529075,0.014214498,-0.026446842,0.015925126,-0.026596181,0.008865394,0.00042638404,0.014581061,0.011716439,0.04667569,0.024573296,0.01923777,-0.017404955,0.020704022,0.022957705,-0.019468568,0.0018090563,-0.0056274207,0.014798284,-0.025034895,-0.0002976203,-0.015287034,-0.002903654,-0.009102982,-0.004364815,0.026256772,0.024274616,0.027723024,-0.0034789543,-0.007236225,-0.012001544,0.0027746782,-0.025306422,0.017418532,-0.013712171,-0.020581834,-0.018463913,0.00091895304,0.0032600348,-0.0053728633,-0.006964697,0.003954129,0.011926874,-0.018043045,0.010650692,-0.02384017,-0.011465276,-0.015327764,0.001732689,0.024953436,0.016929781,-0.014146616,-0.0030088713,-0.0155314095,0.024247464,-0.03519005,-0.010311281,0.017880129,0.0073652007,-0.0074806004,-0.0084648905,0.0004261719,0.021192772,0.00952385,-0.033913866,0.0018379061,0.01107156,-0.008186574,-0.01299941,0.0016249262,0.0081933625,0.04439485,0.0020127024,0.010487774,-0.010039753,-0.017337073,-0.01798874,0.005827673,-0.008485255,0.02422031,-0.020256,0.011193748,0.001564681,-0.018789748,0.011424547,0.026066702,0.013637501,-0.008037234,-0.05112875,-0.020378187,0.027600836,0.072009265,-0.0028154075,-0.0035841714,0.008369856,0.0009927748,-0.011404182,-0.014839013,-0.030845597,0.008627807,-0.013447431,-0.0086549595,0.0030648739,-0.0020602199,-0.021070585,0.042222627,-0.004324086,-0.027940245,-0.019807978,-0.0023877507,0.0007738552,0.0143502625,-0.007881105,0.033588033,0.04070207,0.009795378,0.025021318,0.0448836,0.045236588,0.0067203217,-0.029026357,0.012748246,-0.006937544,0.0015061327,0.022007355,0.007338048,0.01832815,0.015504257,0.006136536,0.022102391,0.0030479033,0.025333576,0.021355689,0.0011090228,-0.02055468,0.013101233,-0.024179582,0.013888665,0.04569819,-0.026229618,0.00069579086,0.012537812,-0.0048535657,-0.0055731153,-0.02580875,-0.002338536,-0.019251347,0.01610162,0.0072294367,-0.015205576,-0.064460784,-0.020649716,-0.00090961927,0.020717598,-0.014743978,-0.019034123,-0.011553522,-0.012917952,-0.00077470375,-0.027234273,-0.018993394,0.014146616,-0.022238156,-0.0057869437,0.01568075,0.034484074,0.018192386,-0.014906895,0.016359571,0.0052404935,-0.016576793,0.0029885066,-0.018382456,0.0113838175,-0.02074475,-0.012714305,0.0045582787,0.005362681,-0.021138467,-0.020133812,0.001085264,-0.03242046,0.014798284,0.020731173,-0.007874317,0.012218767,0.011994756,-0.008023657,0.0021874986,0.003964311,-0.025116352,0.002769587,0.006268906,-0.019061277,0.0034433163,0.0015544986,0.015640022,0.008811088,-0.012198402,0.01220519,0.013834359,0.0366563,-0.021776557,-0.004867142,0.02422031,-0.019292075,0.011716439,0.027940245,0.014608214,-0.00076112733,-0.018789748,-0.029216427,-0.007928622,0.0013864907,0.027125662,-0.02962372,0.01779867,-0.011818263,-0.030112471,-0.014961201,-0.010542081,-0.0318231,0.018491067,-0.010019389,0.0032515496,-0.011757169,0.001584197,-0.003129362,0.018762596,-0.030302541,-0.021627218,0.0002893472,-0.038041092,0.007704611,-0.02055468,0.010820396,-0.031117124,-0.0015969248,0.0019074852,0.00546111,0.03654769,-0.0033499785,-0.01754072,0.0060890187,-0.001618138,-0.021287806,-0.03242046,-0.01832815,-0.0055731153,0.019142734,0.016522488,0.028238926,0.015449951,0.01802947,0.014608214,0.018450338,-0.014553908,-0.00041959583,0.00048408375,0.0035298658,0.007046155,0.02788594,0.0014102493,-0.022971282,-0.021790134,0.0064453995,0.010772879,0.02199378,-0.035162896,-0.008838241,-0.033425115,0.0012464839,0.0010063512,-0.022007355,0.01847749,-0.023826595,-0.0063571525,0.04504652,0.0061263535,0.024532568,-0.0050402414,0.019699367,-0.010385952,0.025387881,-0.0033788283,-0.019509297,-0.040457696,-0.015436375,-0.008797512,-0.023432879,0.009557791,0.022048086,0.013542466,0.0047245896,-0.029297886,-0.006309635,0.0229034,-0.004996118,-0.0024352681,-0.00085319235,-0.017866552,-0.0065879514,-0.0047755013,-0.0250892,-0.0064929165,0.021532182,-0.026338229,-0.014513179,0.020242423,-0.026582604,-0.023188503,-0.0048603537,0.0004883264,0.008756783,-0.010392739,0.027193543,-0.018708289,0.009218381,-0.0238809,0.025415035,-0.028347539,-0.014065158,0.031714488,0.01008727,-0.017228462,-0.042982906,0.016739711,0.014105887,0.02943365,-0.023527915,0.015001929,0.022278884,0.0023504156,-0.006408064,-0.011838627,-0.016305266,-0.018110927,0.008695689,0.003232882,0.0059838016,-0.010501351,-0.018491067,0.01735065,-0.052187707,0.040159013,-0.0052167345,-0.012252707,-0.009646038,6.6715314e-05,-0.0148933185,-0.00056426943,-0.011825051,0.017038392,0.038638454,-0.004677072,-0.0015434677,0.009462756,-0.011580676,-0.010460622,0.012843281,0.020201694,-0.003903217,-0.024166005,-0.0053117694,0.014866166,0.015612868,0.012714305,-0.0028340751,0.02225173,-0.016712558,-0.028103163,0.011560311,0.004239233,-0.03605894,-0.013780053,0.002162043,-0.022170274,0.0033941017,-0.005600268,0.0125446,0.03356088,-0.014241651,0.009551003,0.00479926,-0.009007947,0.007399142,-0.010189094,-0.023595795,0.014295957,-0.017635753,0.0050402414,-0.0052914047,0.0053558927,-0.04214117,0.001219331,-0.031280044,-0.009272686,0.019006971,-0.017975163,-0.018396033,7.127614e-05,-0.0019159705,0.01625096,0.0026185496,0.00612296,0.005705485,0.0036588416,0.009903989,-0.011967603,0.0010411408,0.040186167,-0.03079129,0.00834949,0.017309919,-0.020731173,0.021600064,-0.017852975,0.02614816,0.028103163,0.0071140374,-0.023758713,-0.012829705,0.032963518,-0.010698209,-0.0034585898,-0.0190477,0.008865394,-0.011560311,-0.0014713431,-0.0029070482,-0.0019889437,0.015205576,0.025510069,0.019278498,0.0031904557,-0.025863055,-0.019740097,-0.016020162,-0.0015298914,0.0051013352,0.015395645,-0.018165233,0.019930165,0.005430563,-0.033099283,-0.013053715,0.020513952,-0.025442187,0.0064759464,0.010548868,0.028999206,-0.0065777693,0.01005333,-0.0013983699,0.021355689,-0.008172997,0.02667764,0.030601222,-0.0036282947,0.0007717339,-0.023378573,0.011302359,-0.021396417,-0.03337081,-0.013454219,0.015395645,-0.0081933625,0.016943356,0.023079893,-0.00043783913,-0.006465764,-0.017513566,0.0070529436,-0.004768713,0.0125310235,0.010447046,-0.031035665,-0.007107249,0.009476332,0.0035841714,0.019224193,-0.011682498,-0.0026389142,-0.002360598,0.0040016463,-0.0072294367,0.008356279,0.010704997,-0.007799646,0.0112209,-0.0077657048,-0.00540341,0.0024488445,-0.007304107,0.011438123,-0.012890799,-0.018151658,-0.023297114,0.011682498,0.017703636,-0.008044021,-0.0019142734,-0.010175518,0.01295868,-0.025985243,0.024926284,0.0017216582,-0.022984857,-0.0050198766,0.0046736784,-0.0034518016,-0.015816515,-0.013508525,0.009890413,-0.031687334,-0.0042867507,-0.008858606,-0.03098136,-0.01065748,0.0028866837,0.0034789543,-0.029162122,-0.025007742,-0.025102777,-0.014146616,-0.013854723,0.019672215,0.1717144,0.0023809625,0.0035162894,0.029542262,-0.012137308,0.022414649,0.010874703,0.0089197,0.0037131472,0.009727496,-0.027723024,0.0046940427,0.014866166,0.008077962,-0.024831248,-0.025781598,-0.029569415,-0.009571367,-0.01595228,0.028293232,0.0019074852,0.01972652,-0.025890209,-0.0121169435,0.037009288,0.029026357,-0.025211388,0.018735442,0.021817287,0.030031012,0.0060448954,0.013108021,0.0028781984,0.00612296,0.0010572628,-0.0054814746,0.010786456,-0.011010466,0.016454605,-0.008111903,0.0076299408,-0.0012354531,0.001135327,0.0018735442,0.0022163484,0.020486798,-0.012130519,-0.008519196,-0.018653983,-0.0060550775,-0.047001522,-0.040376235,0.031062819,0.017486412,-0.0021552546,-0.0060788365,0.01107156,0.027614413,-0.012178037,0.019712944,-0.0032210026,0.047924716,-0.004996118,0.022346767,-0.007908258,0.026840556,-0.017662907,0.006336788,0.03239331,-0.008532772,0.00714119,0.0023198687,0.019645061,0.008777147,-0.027682293,-0.023174927,0.026351806,0.04387895,0.011302359,0.026922015,-0.012775399,0.0011285389,-0.017907282,0.026596181,-0.025754444,-0.016020162,0.003302461,0.009999024,-0.03548873,-0.008274821,0.005495051,-0.005243887,-0.022482531,-0.014268803,-0.0136171365,0.005002906,-0.0038658818,0.011329512,-0.0064453995,-0.028483301,-0.0229034,0.069511205,-0.010046542,-0.003706359,-0.022916976,-0.009917566,-0.0043071155,0.034945674,0.004731378,-0.003842123,-0.021342112,-0.025116352,-0.007371989,-0.008688901,0.003838729,0.011784322,-0.00572585,-0.018151658,0.012103367,-0.011594252,0.0035570187,-0.041842487,0.01220519,-0.0014221286,-0.033723798,0.011512794,-0.02082621,-0.0030869355,-0.0017785094,-0.03141581,0.016468182,-0.027302155,-0.019563602,-0.0057937317,-0.011309147,0.008322338,-0.005192976,-0.0062146005,-0.00025370912,0.0025387881,-0.0086549595,-0.01847749,0.017486412,-0.004836595,0.0082883965,-0.009028311,0.0060211364,0.0086549595,-0.0031480293,-0.019998048,0.0012812734,-0.013135174,0.0035943538,-0.010331646,0.013813994,-0.0073652007,-0.020541104,-0.029569415,0.034103937,0.004690649,-0.019482145,0.008702477,0.03190456,-0.020038778,-0.0052065523,0.009965083,-0.17290913,0.02006593,0.024722638,-0.028999206,0.01610162,-0.007684246,0.009700343,0.018314574,-0.015164847,0.0054373513,0.015124117,0.009007947,-0.0289449,-0.0020788875,0.012917952,-0.021165619,-0.008851818,0.031986017,-0.017595025,0.018083775,0.025971666,0.004690649,0.020486798,-0.00812548,0.019264922,0.023324268,0.0042324453,0.036113244,-0.0018277238,-0.000466689,0.00213489,0.0052574635,0.03657484,-0.011370241,-0.01855895,-0.0077249757,-0.02826608,-0.01352889,-0.019780826,0.01621023,0.009265898,-0.00011932389,0.0034721661,0.0146217905,0.02282194,0.0088043,0.013685019,-0.032610532,0.014594638,-0.024994165,0.019658638,0.02195305,0.0057190615,0.023269963,-0.01092222,0.027641565,0.008627807,0.017948011,-0.011309147,0.010752515,-0.015775787,-0.023066316,0.017432107,-0.014974777,-0.029895248,-0.023025587,-0.042222627,0.0076163644,-0.005630815,0.0037979998,-0.0077521284,-0.004660102,-0.02142357,-0.029270733,0.006258724,-0.0062112063,-0.034484074,0.002599882,0.0022384103,-0.0061874473,0.010569233,0.011241266,-0.01972652,0.0074466593,-0.013685019,-0.001684323,-0.016522488,0.032854907,0.0052846167,-0.0041781394,0.03480991,-0.0057869437,0.005064,-0.00793541,0.022224579,0.025007742,-0.004395362,0.010094059,0.010528504,-0.0022825336,0.001101386,0.008458102,-0.030248234,0.010800032,0.008023657,0.0061297477,-0.007100461,0.024315346,0.023717983,-0.019590756,-0.0069918497,0.011580676,0.0267591,0.0058853724,0.0029155335,0.039887484,0.007378777,-0.0018497854,0.016549641,0.010800032,0.007853952,0.019183464,0.0046091904,-0.014703249,0.0033431903,-0.0021043431,-0.10290916,0.027342884,0.020608986,-0.015802938,-0.03366949,0.0028238927,0.02010666,0.0013220026,-0.033316504,0.012266284,-0.006428429,-0.04493791,0.0063198176,0.0025489705,0.022672601,-0.013094445,-0.018165233,-0.0027152814,0.0009274383,0.018355303,-0.00011783897,-0.02724785,-0.0067848093,0.0035128954,-0.010290917,0.036384773,-0.015830092,0.0018175415,0.0021756194,0.019699367,-0.015029083,-0.041923948,0.01669898,-0.019604333,-0.013175903,0.0032311848,-0.0164003,-0.017038392,-0.009116557,-0.0101076355,-0.0086549595,-0.0064555816,0.03375095,-0.025632257,0.002873107,-0.018871207,-0.007636729,0.008573501,0.034103937,-0.0216951,-0.023310691,-0.00914371,-0.010114424,-0.00647934,0.0033924046,-0.0009859867,0.011051196,0.008417373,-0.016658252,0.018545372,0.031470113,0.0026406113,-0.021409994,0.01874902,0.010501351,0.024315346,-0.018192386,-0.0040966813,0.013847935,-0.021328537,-0.01080682,0.0121644605,-0.029922402,0.00069918495,-0.014771131,-0.019115582,-0.017880129,-0.009401662,0.020704022,-0.018762596,-0.011281994,-0.031117124,0.009082616,-0.009876836,-0.01572148,-0.0017462653,0.017730787,0.008010081,0.0029257159,-0.023107044,0.038448386,0.015775787,0.036819216,-0.0018311179,-0.014105887,0.015748633,-0.004551491,0.0027780724,0.005746214,0.010677844,-0.032474767,0.022536837,-0.048250552,0.022957705,0.0066863806,-0.0056070564,-0.0018480885,-0.0046227667,-0.0016571702,-0.004296933,-0.0005349953,0.017051969,-0.027831635,0.014214498,-0.011078348,0.017825823,0.008492043,-0.015219152,0.034619838,0.009652826,0.036629148,0.023622949,0.0023860536,0.006971485,0.03383241,0.01855895,-0.010976525,0.024885554,-0.01572148,0.02233319,-0.011852204,0.00032837936,0.023758713,-0.013712171,-0.03934443,0.016821168,-0.022129543,-0.029542262,-0.018721865,0.017472837,0.018884784,0.01644103,-0.009700343,-0.019006971,0.0058174906,-0.031307198,-0.008145845,0.0014823739,0.0038523055,-0.0010776273,0.010603175,-0.0004700831,0.023717983,0.026202466,-0.014024428,-0.010942584,0.010589598,-0.0123884715,0.03858415,0.015368492,-0.0038828524,-0.010800032,0.014771131,0.011057984,0.022007355,-0.009055464,0.009999024,-0.019034123,0.022781212,-0.009401662,0.0088314535,-0.038719915,-0.03627616,-0.011492428,-0.005400016,0.01828742,0.0152598815,-0.021084161,-0.0017174155,0.0053728633,0.0049452065,0.042114016,0.016020162,0.004123834,-0.021029854,0.026650487,0.008505619,0.005165823,-0.011981179,0.006268906,-0.015137694,-0.0047585308,-0.032339003,0.017282767,-0.00074415683,-0.015667174,-0.014038005,0.0129790455,-0.018246692,-0.0032753083,0.013494949,0.013542466,0.022278884,0.0008582835,-0.014404568,-0.017866552,-0.021966627,0.012076214,-0.008410584,-0.00786074,-0.021667946,-0.00918444,-0.023704408,0.01164177,0.016427454,0.008851818,-0.016020162,0.011811474,-0.0017903887,-0.011594252,-0.016617524,-0.003197244,0.020052353,0.031497266,-0.011010466,-0.010759302,0.0074941767,0.005471292,-0.0037097533,-0.024274616,0.014119463,-0.015667174,-0.015965855,0.012089791,-0.012408836,-0.03098136,-0.034456924,-0.013291302,0.02479052,-0.0027390402,-0.015789362,0.07184635,0.010514927,0.003266823,0.010603175,0.020283153,0.011533158,0.013019774,0.008546349,-0.012293437,-0.0046091904,0.018694714,0.0075756353,0.015735056,-0.03975172,-0.003954129,0.010501351,-0.011302359,0.0074534477,-0.01258533,0.009571367,0.011960815,-0.007908258,0.026718369,0.009815742,-0.018694714,-0.00687645,0.0047585308,-0.026256772,-0.00038395775,-0.03570595,-0.002499756,0.0089740055,-0.012184826,-0.0042426274,0.019970896,-0.021382842,-0.014499603,0.02199378,0.039317276,0.023066316,-0.013970123,-0.0017369316,-0.006394488,-0.014540332,-0.0005757245,-0.009632461,-0.0034959249,-0.021586487,0.001564681]', 'provide a list of organizations providing food security for a region in a country', '{"mem_type": "recipe", "custom_id": "07d104d2-882b-4cd4-9dde-37a0d3d19664"}', '07d104d2-882b-4cd4-9dde-37a0d3d19664', '8e633804-9b4e-4bfb-8779-842e88fe1095'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.010540368,0.018077698,-0.009522011,-0.0103099365,-0.0014048868,0.010644434,-0.030208783,-0.00092126016,-0.0147401625,-0.014940861,-0.013394741,0.019430552,-0.02227006,-0.009522011,-0.02612049,0.023414781,0.0070058513,-0.03395515,0.01819663,-0.009499711,-0.007752894,0.019267019,0.018835891,-0.002105472,0.0012840963,0.0024511188,0.022522788,-0.028097738,-0.018389896,0.00073078275,-0.0055191983,-0.017527636,0.0052739005,-0.03249823,-0.002898973,-0.0017802666,0.000395589,-0.006470656,0.05304377,-0.0003361229,0.014197534,-0.0063963234,0.0072734486,-0.005370533,-0.026402952,-0.010659301,0.002330328,0.009306447,0.0017235881,0.0047684386,0.0051252353,0.04748369,-0.009715276,-0.021036137,-0.0048985207,0.014197534,-0.017438438,-0.012978478,-0.004642073,-0.0021909545,0.01947515,-0.0016139474,-0.024262173,-0.0042741266,-0.04513478,-0.030015519,-0.010852565,0.0042927098,0.032171167,0.038415108,0.021095602,0.014190101,-0.0039805127,-0.019058889,0.01669511,0.007775194,-0.0041960776,0.018553426,0.0070021343,-0.0018480952,0.02076854,-0.033836216,0.01755737,-0.0103099365,0.023013385,0.015119258,-0.018865624,0.05997157,0.0006039527,-0.009759875,0.0249609,-0.012919012,-0.009425378,0.014546897,0.008236056,0.005734763,-0.010755933,0.030446649,-0.017141106,-0.042904798,-0.027503077,0.021155069,-0.02774094,-0.011699957,-0.016026117,0.021437533,0.0010666733,0.007358931,0.010614701,0.036928456,-0.012064187,0.024841968,0.018687226,-0.012517616,0.010250471,-0.012807514,0.013104844,-0.0005463449,-0.009811908,0.0054968987,0.0048018885,0.031398106,0.003517792,0.0054783155,-0.0008562191,0.03446061,-0.020159012,-0.04156681,-0.012584516,0.0036961904,0.011120163,-0.005203285,-0.0018099997,0.021511866,-0.032855026,0.03252796,-0.015156425,0.007671128,-0.028454535,-0.029064061,0.019341353,0.021615932,0.035798598,0.013446774,0.010993797,0.027503077,0.004300143,-0.006273675,-0.014309033,-0.014368499,0.01874669,0.009172647,0.016278848,-0.0044562416,-0.022552522,0.011268828,0.0071730996,0.024946034,0.021155069,0.01751277,-0.013246076,-0.019980613,5.643909e-06,-0.016130183,0.0017598252,0.042934533,-0.00605811,-0.01102353,0.0011735265,-0.0031851535,-0.0065598553,0.0392179,-0.017929032,0.009663243,0.018226363,-0.007280882,0.0037853897,0.011900655,-0.0059243115,-0.0044079255,-0.012748048,0.036750056,-0.0030494966,0.005158685,-0.009507145,-0.01040657,0.021660531,-0.0071359333,0.014487431,0.0061361594,0.029985785,0.011744557,0.019118354,0.0014727154,-0.60179704,-0.028722132,-0.019549483,-0.03035745,0.029272193,0.0043038595,0.0010536652,0.013379875,-0.039842293,0.045818638,-0.0047907387,0.015788252,-0.0028692398,-0.030506115,-0.0049802866,-0.015022626,-0.02983712,0.0074704303,0.006292258,0.01277778,-0.023251249,0.015178725,-0.00899425,0.029272193,-0.0045045577,0.014940861,0.0014160367,-0.007195399,0.00498772,0.027428744,-0.028454535,0.010607268,-0.013469074,-0.01726004,0.05012993,-0.0069240853,-0.012465583,0.0034676176,0.012971045,0.019921146,-0.018315561,-0.0018778283,0.01708164,-0.002176088,-0.026923282,0.0025812008,-0.004894804,-0.012740614,-0.0015135984,-0.036631122,-0.009789608,-0.025510961,0.010837698,-0.007541046,-0.0058053792,0.006623038,0.00042718038,-0.022329524,0.009908541,-0.013357575,-0.008786118,-0.014398232,-0.016472112,0.016382914,0.0023953693,0.018969689,0.002852515,0.012235153,0.00886045,-0.026953015,-0.014487431,0.03026825,-0.0020906054,0.018241229,0.021214535,0.012376384,0.034133546,-0.032914493,-0.013588007,0.02910866,0.025406895,-0.019044021,-0.018939957,0.011848623,0.008035358,0.0039024635,-0.036185127,0.01277778,-0.007894126,0.034728207,0.0054968987,-0.0042964267,0.026447553,-0.014361066,0.0011345019,0.044034656,0.00321117,-0.027280077,0.012651415,-0.03347942,-0.0053928327,-0.008050225,-0.011633058,0.0013853746,0.032349564,0.01172969,-0.03240903,0.012978478,0.02958439,-0.014561764,-0.018375028,-0.028201804,-0.019118354,-0.04126948,0.014338766,-0.032379296,0.043261595,0.00062067754,-0.0010871148,-0.0022615704,0.037701514,0.0152679235,0.026655683,-0.014792195,0.026224555,0.038801637,0.006946385,-0.009811908,-0.017111374,0.012324352,-0.0107261995,-0.0023154616,0.04067482,-0.016189648,0.04019909,0.00044297607,0.016457247,-0.0048799375,-0.017839832,-0.020664474,-0.018464228,-0.0023359032,0.0064483564,-0.023221517,0.003605133,-0.037433915,0.016962709,-0.010250471,0.008518521,-0.010079506,-0.005128952,-0.026893549,0.0020144144,0.017349238,0.02655162,-0.014071168,0.0115066925,-0.0057682125,0.025763692,-0.018999422,0.005797946,0.012450716,-0.0043893424,-0.015684187,0.00076841365,-0.007990759,0.00711735,0.037017655,0.028023405,-0.020709073,0.0053296504,-0.008867884,-0.02787474,0.015565255,-0.016026117,0.013521107,-0.007217699,0.0005816529,0.013312976,-0.03425248,0.026611084,0.0041366112,-0.030149318,-0.022656588,0.041685745,-0.009194948,0.010198438,-0.01990628,0.01282238,-0.010689033,-0.011149895,-0.00047131538,-0.023266116,0.0136995055,0.0072065494,0.004515708,0.010577534,0.032884758,0.012933879,0.020783406,0.05934718,0.023518847,0.035085004,0.004597474,0.025243364,-0.03056558,-0.009908541,-0.011008664,-0.009492278,0.0005365887,0.019252153,-0.041477613,0.002393511,0.003393285,-0.004564024,0.023191784,-0.0060655433,-0.005299917,-0.030922377,-0.005482032,0.012264885,-0.02594209,0.023132317,0.00321117,0.005797946,-0.027949072,0.006853469,0.043737326,0.016620778,-0.008875317,0.0057421965,0.015773386,-0.0035419501,0.0036367243,0.0136995055,-0.0025384596,0.010495769,-0.014071168,0.02076854,0.01211622,-0.022359258,0.0019716732,0.02949519,-0.0356202,-0.0011214936,-0.0040771454,0.0068386025,0.0142718665,-0.01528279,0.004459958,0.0074035306,0.032676626,-0.02273092,0.012101353,0.014717862,-0.02778554,-0.0027503076,0.028692398,0.03933683,0.029153261,0.032052234,-0.00013275344,0.018166896,0.013402174,-0.025228497,-0.01318661,-0.019385953,-0.015877452,-0.0058685616,0.0019958313,0.0020738805,0.01138776,0.010525501,-0.012539916,0.0115587255,-0.020605007,0.0037612314,-0.013922503,0.014071168,0.005957761,-0.034995805,-0.017795233,0.013558273,0.0038615805,-0.0018062831,-0.035947263,-0.02958439,0.005731046,-0.035293136,-0.0026722583,0.018464228,-0.008934783,0.025600161,-0.00645579,-0.0010239321,0.004088295,0.012948746,0.007804927,-0.015253058,0.020129278,-0.017051907,-0.0023191783,-0.010287637,-0.02787474,0.027399011,-0.016472112,-0.009410512,-0.015565255,-0.016442379,0.0073737977,-0.0073366314,-0.0064186235,-0.015119258,0.01849396,0.007529896,-0.020456342,-0.056611735,0.015609854,0.032022502,-0.010436302,0.0039544962,-0.050575927,-0.016427513,0.021764597,0.030238517,0.019281887,0.009663243,0.00076562614,-0.001165164,0.01853856,-0.012718314,-0.02655162,0.017334372,-0.012324352,-0.018211497,0.007593079,-0.0035661084,0.00338771,0.033895683,-0.01138776,-0.019638684,-0.029599257,-0.017304638,-0.00926928,-0.039188165,0.009626077,0.012926445,0.01626398,0.013825871,-0.0035809749,0.024247307,0.019267019,0.0067456868,0.0070095677,-0.022240326,0.012443284,-0.009358479,0.026625952,-0.0023805026,0.029985785,0.029881721,-0.011670224,0.005251601,-0.001523819,0.0064855227,-0.0010007032,0.0077157277,-0.014784762,0.02418784,-0.0056232642,-0.0093659125,0.025496095,-0.0019419402,-0.005734763,0.0037798146,-0.01566932,0.004129178,-0.016605912,-0.026046157,-0.006381457,0.010971498,-0.03163597,-0.014978027,-0.039723363,-0.032587428,-0.009730143,0.018835891,-0.018850757,-0.008808417,-0.0089496495,-0.028008537,-0.003417443,-0.012465583,-0.0024213856,-0.0091057485,-0.047275558,-0.008302956,0.04923794,0.015951784,0.015074659,0.009499711,-0.015357123,-0.007529896,-0.013394741,-0.020144144,-0.004229527,0.00677542,-0.01532739,-0.018969689,0.0025849175,-0.029658722,0.0027149997,0.0013667914,0.032379296,-0.010079506,-0.01849396,0.0059540444,0.008830718,0.011127596,-0.005259034,0.005199568,-0.005667864,0.016204515,-0.01113503,-0.015788252,-0.028722132,-0.00997544,0.0076488284,0.014702996,-0.0032557696,-0.023667512,0.01596665,-0.028068004,-0.039426032,-0.008459054,-0.0027372993,-0.013409608,0.011120163,0.0045045577,-0.016947841,0.0107039,0.025273098,-0.0058313953,-0.007611662,0.009306447,0.00055377814,0.0015628437,0.016754577,-0.023236383,0.026462419,-0.007946159,-0.029034328,-0.008050225,0.0003646945,0.005054619,0.0026927,-0.02004008,-0.012889279,-0.00892735,0.009395645,-0.028454535,-0.00082369853,-0.019787349,-0.026358353,-0.0068794857,-0.01580312,-0.0007693428,-0.009150348,-0.0069612516,-0.017483037,0.0011512267,0.0018611035,0.022180859,-0.0050434694,-0.0046383566,-0.018300695,0.017527636,-0.01143236,-0.035352603,-0.018806158,-0.022507923,0.017215438,0.034787674,0.017646568,0.043529194,0.03279556,0.012257452,0.0006281108,-0.0076785614,0.014561764,0.021853795,-0.013216343,-0.011863489,0.0013184751,0.02418784,0.0037537983,-0.007864393,-0.00031289394,0.00676427,0.00043647195,0.002529168,-0.020188745,0.01726004,-0.0050434694,-0.021036137,-0.010540368,-0.031189974,0.0036590241,-0.04721609,-0.008607719,0.043558925,-0.0076859947,0.0049022376,0.0017626127,-0.0029268477,-0.0019345069,0.032171167,0.01136546,-0.00931388,-0.0017375255,-0.003369127,-0.0110904295,0.024247307,0.040020693,0.005058336,0.017245172,-0.016085584,-0.0045677405,-0.012896713,0.007332915,0.0012088346,0.004036262,-0.010755933,-0.0073366314,-0.013052811,-0.01352854,-0.016472112,-0.0039061802,0.0019605234,0.0075484794,-0.0075336127,0.015357123,-8.485826e-06,-0.012376384,0.0053259335,-0.02243359,0.013350142,-0.0115587255,0.023444515,0.012257452,-0.015550388,-0.02359318,0.008518521,-0.023474246,-0.009351046,0.03933683,0.029346526,-0.0059689106,-0.013417041,0.0014178951,0.030773712,0.017364103,-0.038415108,0.017007308,-0.0032483363,0.022106526,-0.020025212,0.013008212,-0.033241555,-0.004348459,-0.018389896,-0.022894453,0.01828583,0.016026117,-0.010592401,0.008087391,-0.024455437,0.0001177127,0.00034889881,-0.001582356,-0.017141106,-0.019504884,-0.021140203,0.016918108,-0.014331332,0.0033747018,0.003417443,0.0045528742,0.016546445,-0.001411391,0.022448456,0.0041886442,-0.0013221918,0.02919786,-0.049416337,-0.0046718065,0.019133221,0.0110904295,0.016070716,0.008228623,-0.030000653,-0.00013751538,-0.027086813,-0.0041960776,0.01708164,-0.034668744,-0.016665377,-0.024306772,-0.0028710982,-0.025005499,-0.038801637,-0.00062439416,0.02033741,0.006374024,-0.031308908,0.015951784,0.025733959,0.018419627,0.0077826274,-0.005522915,0.0055563645,0.023563446,-0.01879129,0.014041435,0.013045378,0.010228171,-0.047959417,-0.0029956053,-0.013320409,-0.0066676377,0.017929032,-0.034193013,-0.015907185,-0.017780367,-0.0048725046,0.018092563,0.019252153,0.00092451216,0.0011168479,0.021392934,0.0038504307,-0.032052234,-0.011543859,0.06166636,-0.008600286,0.011313427,-0.014130634,-0.022180859,0.03026825,-0.04233987,0.0068125864,0.04165601,-0.022493057,-0.00856312,-0.015639586,0.028781597,-0.024767635,0.019029155,-0.032736093,-0.006288541,-0.008778685,0.024128374,0.0059837773,-0.003722207,0.027651742,0.003969363,-0.01755737,-0.010436302,-0.0357094,-0.023251249,-0.015684187,0.0079089925,-0.016308581,0.0057013133,0.0020460058,0.015134125,0.026179954,-0.030684512,-0.021601064,-0.0011698098,-0.032319833,-0.007444414,-0.007381231,0.021006403,0.007842094,0.017839832,0.010235604,0.027190879,-0.002928706,0.004642073,-0.0152679235,5.316526e-05,0.008288089,-0.036512192,0.016382914,0.004459958,-0.019281887,0.0132832425,0.01844936,0.01960895,-0.012926445,0.017943898,-0.0061956253,-0.007819793,-0.013796138,0.011595892,0.0013286959,0.0074146804,-0.007953593,-0.022165993,0.0034620427,0.003835564,0.021288868,-0.013967102,-0.022924185,-0.003540092,0.0037333567,-0.019965747,-0.0057087466,-0.0064966725,-0.0022782953,-0.027755806,0.00085296703,0.0021259135,-0.01844936,0.046472766,0.018389896,0.010109238,0.0064000404,0.0427264,-0.027770674,-0.0042666933,0.004415359,-0.0010471611,-0.0069017853,-0.0037147736,0.013900204,-0.027547676,-0.004723839,-0.0090016825,-0.03776098,-0.026640818,0.019445417,0.014732729,-0.0357094,-0.019252153,0.03240903,-0.010956631,0.0020961803,0.024782501,0.0025514679,-0.039158434,0.013989403,0.014881394,-0.00034309158,-0.03026825,0.008027925,0.008288089,-0.006180759,0.037969112,0.18838863,-0.013610306,0.018508827,0.035501268,-0.02320665,-0.0006188192,0.01216082,0.01755737,0.021824062,0.0010833982,-0.030922377,0.016234249,0.0034508926,0.0034917756,0.015141559,-0.027250346,-0.044123854,-0.03425248,-0.030773712,-0.0024771353,-0.008823284,0.020738807,-0.030372316,-0.021764597,0.007931292,0.0054448657,0.0038039729,-0.0012627257,0.019385953,0.009826775,-0.0025681925,-0.032349564,0.023548579,0.0056083975,-0.03282529,0.012004721,-0.005433716,0.007098767,0.042993996,0.0067419703,0.014502298,-0.018003365,-0.022463324,-0.0107708,0.014286733,-0.0017514628,0.0112465285,-0.012465583,-0.014435398,-0.0043596094,-0.022165993,-0.015832853,0.025793426,0.017542502,-0.006262525,-0.0060729766,0.026967881,0.014115768,-0.049892068,0.012532483,0.019490018,0.03013445,-0.004530574,-0.005303634,-0.026224555,0.02774094,-0.009432812,3.7747043e-07,0.017111374,-0.022106526,0.0070095677,-0.003623716,-0.007975892,-0.004140328,-0.014524598,-0.013156877,-0.010243038,0.024336506,0.010629567,0.025629893,-0.009789608,-0.032736093,-0.0010545943,-0.022716055,-0.022671456,-0.043172397,-0.006076693,-0.020723939,-0.044242784,4.0941024e-05,0.00057607796,-0.0068274527,-0.025838025,-0.010555235,-0.002529168,-0.0043187262,-0.014792195,0.0033245273,0.003081088,-0.030119585,-0.019668415,0.06945641,-0.01245815,-0.0032966526,0.0049654203,-0.019831948,0.0077900602,0.012807514,-0.009276713,-0.0028785313,-0.025912357,-0.032052234,-0.008072524,-0.010637,0.0010313654,0.0029268477,0.009068582,-0.025109565,0.00967811,0.0069947015,0.0038039729,-0.04079375,0.0067791366,0.0071619498,-0.010800532,-0.002404661,-0.010332237,-0.013201476,-0.005879712,-0.018241229,0.007990759,0.00046179153,0.020575274,-0.016888374,-0.011298561,0.02204706,-0.014257,-0.011112729,-0.01528279,0.0043670423,0.001382587,-0.036750056,0.007752894,0.00077724067,0.0071062003,-0.017661436,-0.012339218,0.01033967,0.01751277,-0.015505788,-0.024410838,-0.01102353,0.00038838803,-0.012881846,0.017393837,-0.008295522,-0.003965646,-0.014643529,0.023057984,0.008250923,-0.011908089,-0.003746365,0.02204706,-0.005110369,-0.013350142,0.0013658622,-0.19326486,0.008719219,0.006009794,-0.015238191,0.0065189726,-0.016040983,0.012584516,0.025867758,-0.002330328,0.013149444,-0.002222546,0.023325581,-0.038236707,-0.008778685,0.010176138,-0.0039730794,-0.0136995055,0.009120614,0.0037352152,0.01626398,0.030342583,0.014859094,0.022745788,-0.017185707,0.0048985207,0.0040251124,0.008503654,0.042904798,-0.0067940033,-0.0052293013,-0.026150223,-0.025406895,0.0060655433,-0.019400818,-0.012368951,-0.0059503275,-0.0071210666,-0.00745928,-0.006258808,0.010250471,0.00087619596,0.0073960973,0.01505236,0.004787022,0.006177042,0.020144144,-0.0132832425,-0.020099545,0.022344392,-0.008800984,0.03056558,-0.035768867,0.01682891,0.0013491374,0.003534517,0.00958891,0.01917782,0.03339022,-0.009172647,0.011915522,-0.04700796,-0.015312524,0.011841189,-0.010414002,-0.01922242,-0.0015795686,-0.03452008,0.0063442905,0.0043373094,0.015371989,-0.02423244,-0.003105246,-0.0024752768,-0.010451169,0.026269155,-0.008258356,-0.04008016,-0.0033505436,0.023533713,0.016115315,-0.0177655,0.030981844,-0.0027670325,0.024500037,-0.020144144,0.0044785417,0.0070616007,0.014457698,0.00967811,-0.003029055,0.020144144,-0.010488335,0.011491826,0.0079089925,0.020426609,0.02345938,-0.013766404,0.0064372066,0.013706938,-0.019430552,0.0114026265,-0.011945255,-0.008592853,0.013989403,0.018047964,0.01387047,-0.023994576,0.015201025,0.027161146,0.0012683007,-0.017230306,0.010956631,0.024336506,0.0010499485,0.013788705,0.017601969,-0.033122625,0.0001469231,-0.014978027,0.02227006,0.025183897,0.009321312,-0.0008274152,-0.012168253,0.011945255,-0.0016204515,-0.10650381,0.018137164,0.013156877,-0.004560307,0.01801823,0.017274905,-0.0061547426,-0.0055489317,-0.0318441,0.019207554,-0.0068423194,-0.012012154,0.001670626,-0.004660656,0.05461962,0.0005036036,-0.023474246,-0.0047387057,0.03172517,0.03425248,-0.0071545164,-0.026982747,0.00752618,-0.01216082,-0.0016604053,0.02953979,-0.018003365,0.0036553075,0.026254287,0.0064186235,0.0069240853,-0.023444515,0.010547801,-0.005006303,-0.021437533,-0.011974988,-0.023117451,-0.0041366112,-0.004118028,-0.034103815,-0.008362422,0.009358479,-0.0019809648,-0.012145953,0.026254287,-0.027205745,-0.0011493685,0.045818638,-0.005106652,-0.0067308205,-0.03511474,-0.012361518,0.01245815,-0.02020361,-0.020277943,-0.003764948,0.0024957184,-0.0045194244,-0.018612893,0.014279299,-0.004352176,0.008079958,-0.0318441,0.017527636,0.0046532233,0.017497903,-0.029019462,0.011930388,0.010599834,-0.001376083,-0.02821667,0.035947263,-0.014866527,-0.017869566,-0.019088622,-0.0056604305,-0.032022502,0.022195727,0.02997092,-0.012614248,-0.027265212,-0.0110904295,-0.005994927,0.007983325,-0.012710881,0.025838025,0.00463464,-0.024083775,0.012733181,-0.02612049,0.009373345,0.02227006,0.0021073304,-0.004545441,-0.014710429,0.024143241,-0.004021396,0.010614701,-0.003805831,-0.012354084,-0.057771325,0.006125009,-0.053192437,0.014933427,0.012532483,-0.022448456,-0.01892509,-0.008488787,-0.013483941,0.009142915,-0.013097411,0.00013716695,-0.019713016,0.00609156,-0.03270636,0.0004624884,-0.012242585,0.0037779564,0.006686221,-0.0049802866,0.034787674,0.0066602044,-9.110104e-06,0.00055610103,0.039247632,0.014896261,0.00014738769,0.00431501,0.004311293,0.016769443,0.008317823,-0.0077157277,0.034995805,-0.0056418474,-0.012770347,0.0065895882,0.011655358,-0.020218477,0.010243038,-0.003921047,0.019133221,0.005783079,-0.026016423,-0.029524924,-0.0061324425,-0.017706035,-0.0034118681,0.031160241,-0.002882248,-0.0112465285,0.020456342,0.016799176,0.024009442,0.003004897,-0.019668415,-0.0177655,-0.008979383,-0.042012807,0.0072883153,0.028053138,0.032617163,0.020307677,0.02658135,0.017378971,0.026269155,-0.008295522,0.0039136135,-2.3501163e-06,-0.0068237362,0.022359258,-0.0012320635,-0.027993672,-0.022656588,-0.0045714574,0.0029101227,0.019787349,0.018612893,-0.025169032,0.0078123603,0.015981518,0.006652771,0.010235604,0.009514578,-0.0014392657,-0.021229401,0.02705708,-0.0015219607,0.031011576,-0.019638684,0.025362296,-0.010428869,0.0115587255,-0.018910224,0.0011837473,0.0052478844,0.024054041,-0.005630697,-0.015624721,0.007804927,-0.011952688,0.029257325,0.05244911,-0.00638889,-0.0027465909,-0.0061733257,-0.03871244,-0.020188745,-0.00040232542,-0.00961121,-0.02684895,0.037523117,0.01575852,-0.022909319,-0.006935235,0.021184802,0.015490922,0.0017365962,0.014167801,0.0073217647,-0.0016994299,-0.018984556,0.025748827,0.014859094,0.018761558,0.009536877,0.004809322,0.02667055,-0.017364103,0.00046713417,-0.006656488,0.022686321,-0.006864619,0.0028748147,0.008035358,-0.017141106,-0.023087718,7.828156e-05,0.017899299,0.018835891,0.028112603,0.011097863,0.098297484,0.0035029256,-0.0018973406,-0.010926898,0.0109863635,0.047067426,0.0076005124,0.022284925,-0.039098967,-0.019846814,0.04897034,-0.00044065318,-0.0085854195,-0.02675975,-0.012331785,0.0067271036,-0.0071136337,0.0038039729,-0.02667055,0.011335728,-0.009804475,0.010525501,0.03013445,-0.005875995,-0.030297983,-0.0072065494,0.042012807,0.009239547,0.006950102,-0.011841189,-0.0031089627,-0.011224228,-0.00231732,-0.011335728,-0.006128726,-0.004560307,-0.008570553,-0.0025626177,0.037225787,-0.01746817,0.0026908414,0.0035958414,-0.0056269807,0.006125009,-0.013758971,-0.0022188292,-0.009700409,-0.027889606,-0.027458476]', 'provide the total population of a provided country using HDX data as text', '{"mem_type": "recipe", "custom_id": "8fc9e346-0f7c-4f4b-8cc0-03c42d7485cd"}', '8fc9e346-0f7c-4f4b-8cc0-03c42d7485cd', 'b3d39c8c-2f1b-4ed8-9e74-6ea9dd5d6c7c'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.011923885,-0.0031242375,0.0042979843,-0.039244566,0.001865912,0.008837622,-0.024262033,-0.0005437209,-0.000712447,-0.008644299,-0.0038491986,0.019042313,0.0050263973,-0.0077398233,-0.009099989,0.022066437,0.010322066,-0.029909827,0.015327751,-0.017854758,-0.019456577,0.023585403,0.028446095,-0.028335625,-0.014064247,0.007691493,0.013325477,-0.03192591,0.0066316687,-0.0072081853,0.02203882,-0.025463399,0.0010494676,-0.03443911,-0.0076638754,-0.0014110851,0.0027755657,-0.024510592,0.024676297,0.002340589,0.005337095,-0.020409383,0.0021610747,-0.02056128,-0.0008047932,0.020588897,-0.0022508318,-0.0030016846,-0.010770852,0.02181788,-0.0038526508,0.030489795,-0.009486634,-0.012931926,0.018876608,0.0061552655,-0.015369177,-0.005761715,-0.0062968056,-0.010142552,0.010777756,-0.007304847,-0.021334572,-0.009507348,-0.036399957,-0.029329857,0.009721384,0.013511895,0.036841836,0.010294449,0.04805457,0.028915593,-0.006673095,-0.0040459735,0.015755823,0.0086512035,-0.00732556,-0.00046604648,0.014968722,-0.0047674826,0.01738526,-0.03540572,0.0009364082,0.0033883303,0.020630324,0.008540733,-0.014181621,0.044353813,0.028722271,-0.00257016,0.010045891,-0.0076500666,0.010722521,0.011274872,-0.01976037,0.0001148934,0.0056063663,0.010612051,-0.009976846,-0.02579481,-0.030848823,0.004719152,-0.011889363,-0.003329643,-0.02952318,0.0043428624,-0.026637144,0.0038457464,0.020616515,0.00096661487,-0.015949145,0.04054259,0.0026875346,-0.042531054,0.00366278,-0.02826658,0.0058514723,0.005333643,-0.0009545322,-0.007539596,0.018655667,0.028805124,0.02021606,-0.006887131,0.006914749,0.018324256,-0.015452029,-0.040321648,0.0015526252,-0.0044119065,0.003928599,0.001003726,-0.006535007,0.0043014362,-0.032864906,0.011419864,0.009203555,0.0028532401,-0.0249939,-0.014292092,0.01770286,0.026278116,0.015935337,-0.019553239,-0.0073393686,0.029937444,0.01837949,-0.0017588938,-0.009148319,-0.014637311,-0.00024445864,0.00925879,0.0077053015,2.5217214e-06,-0.012386479,0.024496783,0.0012488319,0.01193079,-0.011813415,0.010598242,-0.024372503,-0.007332464,0.0023578499,0.0058790897,-0.0005670232,0.039134093,-0.009431399,0.006707617,0.0042358446,0.018075699,0.0015388164,0.02100316,-0.023806345,-0.0049918755,0.018324256,0.0018106768,-0.004560351,0.016736247,-0.022439275,-0.016929569,-0.004667369,0.021886922,0.0022232141,0.0068940353,-0.007505074,0.004066687,0.024952473,-0.010294449,0.00038643018,-0.013152867,0.026278116,0.014043533,-0.0022594624,-0.008437167,-0.63719255,-0.032008763,-0.017523346,-0.022535935,0.012331245,0.008388836,0.00089929707,0.0036282581,-0.032726817,0.018559005,0.009914707,0.03927218,-0.0026996173,-0.029219387,-0.0054682787,-0.018655667,-0.034466725,-0.005630532,0.011771988,0.018669477,-0.009307121,0.0045361854,-0.0060655084,0.016681012,-0.003241612,0.015728205,0.013332381,0.002009178,0.017854758,0.023212567,-0.010183978,0.02021606,-0.02203882,0.0009389973,0.035930455,-0.0082162265,0.0010779483,0.029606033,0.016943378,0.033831522,-0.017247172,0.0038526508,0.01851758,0.008181704,-0.016446263,0.0009062015,-0.012641942,-0.010190883,0.012655751,-0.03656566,-0.0067386865,-0.0026737258,0.005123059,0.0011711575,0.010418728,0.0033779738,-0.017854758,-0.009024041,0.012724794,-0.011274872,-0.01670863,-0.0023354106,-0.011709849,0.014968722,-0.0147063555,0.013373807,-0.016114851,0.013401425,0.0043014362,-0.02963365,-0.017454304,0.012421002,-0.009058562,-0.011544144,0.02249451,0.014927296,0.009983751,-0.016294366,-0.011040123,0.012110304,0.019387532,0.009990655,-0.015548691,0.026858086,0.007836485,-0.005243886,-0.037836067,-0.0014188526,0.00856835,0.013007875,0.0055925576,0.0069320095,0.012158634,-0.03963121,-0.003327917,0.026112411,-0.0010744961,-0.006811183,0.028887976,-0.037311334,-0.024703914,0.011164402,-0.029854592,0.0029136534,0.041315883,0.022687832,-0.032229703,0.004066687,0.05031921,-0.029578416,-0.0015759275,-0.006075865,-0.028308008,-0.016805291,0.016791482,-0.03675898,0.02783851,-0.007394604,-0.001407633,-0.0014231678,0.028528947,0.007857198,0.044022404,-0.016404836,0.017771905,0.034383874,0.0029032968,0.011564856,-0.016874334,0.0053819735,-0.009597105,0.011592474,0.021472659,-0.01840711,0.03192591,0.0075326916,0.0031328679,-0.009673053,-0.013870924,-0.017067658,-0.021293145,-0.0035764752,-0.0018969817,-0.018324256,-0.003697302,-0.025352927,-0.022052629,-0.008423358,0.014064247,0.0006093126,-0.017109083,-0.006075865,-0.0010874418,-0.009389973,0.010349683,0.0003012041,0.008485498,-0.004508568,0.010950366,-0.012110304,0.005530418,0.023985859,-0.017882375,-0.0038284855,-0.0070908107,0.0062657357,-0.012103399,0.04587278,0.020202251,-0.009679957,0.01197912,-0.01334619,-0.015714396,0.0121379215,-0.0109296525,0.01784095,-0.010694903,-0.01101941,-0.00057176995,-0.021845497,0.02565672,0.01158557,-0.01647388,-0.03711801,0.017468112,0.003783607,-0.003718015,-0.0016829455,0.010998697,0.009755906,-0.015617735,0.036593277,-0.0015629817,0.008810004,0.006234666,-0.008665012,0.010177074,0.02167979,0.021873115,0.015452029,0.028114684,0.0057893326,0.023764918,0.012427906,0.030904058,-0.030351708,-0.0034401133,-0.01963609,-0.018821374,0.019898457,0.017481921,-0.037311334,-0.0028049094,-0.018752329,-0.0018365683,0.0068560615,-0.0024924856,-0.004846883,-0.022853538,-0.0025373641,-0.0056236275,-0.014402562,0.016957186,0.007940051,-0.009465922,-0.024317268,-0.0022266665,0.010667286,0.009079276,-0.030821206,-0.010432537,0.01974656,-0.017481921,0.020298913,0.031152617,0.018186169,-0.0016337518,-0.0055614877,0.0216936,0.004121922,-0.0070493845,0.0011487182,0.011185115,-0.02328161,-0.0020885787,0.007007958,0.025131987,0.008319792,-0.032202084,0.016819099,0.001409359,0.02068556,0.00034457233,0.019677518,0.011661518,0.003769798,0.010757043,0.01317358,0.029606033,0.021472659,0.025463399,0.00869263,-0.002078222,0.009120702,-0.012365766,-0.00925879,-0.021942157,-0.013325477,-0.010694903,-0.0016855347,-0.023309227,-0.025753383,-0.0015845579,-0.029219387,-0.005796237,-0.028667036,0.0028256224,0.004080496,0.0028480617,0.01828283,-0.02021606,-0.032782055,0.019774178,0.008050521,-0.003010315,-0.043166257,-0.026747614,-0.0020437,-0.02533912,0.004691534,0.016777672,0.002447607,0.011544144,-0.003610997,-0.014499224,-0.008430263,0.011841033,1.8761202e-06,-0.0071598548,0.021431234,-0.012358862,-0.008354315,0.00026107233,-0.027990406,0.021306954,-0.01385021,-0.014637311,-0.010584433,-0.014112578,0.006231214,-0.0016993436,-0.017620008,-0.018600432,0.032284938,-0.009728288,-0.010246118,-0.032395408,0.0070528365,0.026305733,0.0027565786,-0.012469332,-0.039216947,-0.03747704,0.008464784,0.055621784,0.01817236,0.014374944,-0.013760453,-0.014733973,-0.001091757,-0.009686862,-0.019263254,0.022674024,0.01565916,0.0029516276,0.011530335,0.015507265,-0.012372671,0.014374944,0.012745508,-0.001565571,-0.008954996,-0.032561112,0.009990655,-0.016874334,-0.0027099738,0.004843431,0.01873852,0.022825921,-0.0029188318,0.04393955,0.021141248,0.00038146766,-0.0051644854,-0.023433506,0.010964175,-0.0062968056,0.024344886,-0.004719152,0.016653394,0.019539429,-0.006058604,0.026153836,-0.008575255,0.013021683,-0.001162527,0.008223131,-0.01670863,0.021873115,0.015507265,-0.010701808,0.004263462,-0.021541703,0.00025136303,0.03178782,-0.0056546973,-0.008996423,-0.00661786,-0.01221387,0.004418811,-0.013746644,-0.023820153,0.019815605,-0.0076017356,-0.023585403,-0.0021075658,0.03394199,-0.028211346,0.017675243,-0.0135464175,-0.026816659,-0.014416371,-0.015341559,0.01578344,-0.022163099,-0.037338953,-0.012648846,0.012987161,-0.0069976016,0.023461124,0.020119399,-0.020989353,0.019235637,-0.03802939,-0.01589391,-0.009983751,-0.010328971,-0.01334619,-0.0047881957,-0.012158634,-0.013774262,-0.014927296,-0.019953692,0.031290706,0.012379575,-0.013339286,0.008499307,-0.009410687,-0.026029559,-0.0066627385,0.018862799,0.0032709558,1.2676032e-05,0.012296722,0.012980257,-0.031373557,-0.015258706,-0.02260498,0.006169074,-0.0037042063,-0.022950199,0.009852568,-0.0270376,-0.028446095,0.006638573,-0.022453083,-0.0014136743,-0.0007115839,0.002413085,-0.008492402,-0.002007452,0.013760453,-0.001215173,-0.0045534465,-0.0055200616,0.023599213,0.0056339838,0.0034970746,-0.032975376,0.022784494,-0.00030681392,-0.0191804,-0.015244897,-0.0061138393,0.006956175,0.01323572,0.010715617,-0.015010148,-0.027852317,0.0135188,-0.005040206,-0.005861829,-0.0039907387,-0.025062943,0.010225405,0.013145963,-0.0010063151,-0.021527894,0.0030500153,-0.02329542,-0.004864144,0.006711069,0.0053612604,0.006655834,-0.006041343,-0.009438304,0.010128743,-0.018793756,-0.0245244,-0.025366737,-0.023226375,0.03280967,0.016970996,0.017509539,0.033886757,0.03529525,0.020699367,0.009175937,-0.0038250333,0.0015664339,0.019138975,0.012745508,-0.023640638,0.015355368,0.00040045474,0.01215173,-0.005896351,-0.008727152,0.009686862,-0.002552899,-0.00411847,-0.033693433,7.001485e-05,-0.0315945,-0.01919421,-0.008140278,-0.0224807,-0.027990406,-0.047060337,-0.0002623669,0.053550463,0.0041081132,0.013511895,-0.0021334572,-0.012559089,-0.011765084,0.034107696,0.003890625,0.00078408,-0.006938914,0.0016743151,-0.008823813,0.032754436,0.026719997,0.007940051,0.019125165,0.0011841032,0.01180651,0.0058204024,0.019373724,0.011060836,0.030683119,-0.0021921445,-0.00829908,-0.0023940979,-0.014692547,-0.025822427,-0.02589147,0.009893994,0.01282836,-0.032091614,0.017247172,-0.0027168782,-0.015590117,0.0037076585,0.0025925993,0.040238798,-0.0065626246,0.024772959,0.019401342,-0.014264474,-0.016252939,0.029053682,-0.0053094774,0.004505116,0.028805124,0.044906165,-0.024952473,-0.020644132,-0.011454387,0.020409383,0.017799523,-0.027962787,0.007332464,-0.007960764,0.007505074,-0.0086028725,0.011447482,-0.040349267,-0.0011245529,-0.014098769,-0.033859137,0.031732585,0.001198775,-0.008720247,0.003718015,-0.026153836,0.008188609,-0.01669482,-0.0046880823,0.0023371368,-0.02974412,-0.015258706,0.033002995,-0.008782387,0.0138847325,0.0010589611,0.006535007,0.026761424,-0.0113646295,0.025919087,-0.0029499016,0.0052266247,0.031042147,-0.012158634,-0.005005684,0.0071736635,0.01243481,0.029495563,0.006058604,-0.022508318,-0.020091781,0.0018762685,-0.012524568,0.01987084,-0.03294776,-0.0058169505,-0.0063831103,-0.014361136,0.01329786,-0.019539429,0.015742013,0.011958407,-0.025988132,-0.0015129249,0.022107864,0.016280556,0.014140195,0.0142230475,-0.012980257,0.008119565,0.021210292,-0.0088031,0.01579725,0.037946537,-0.0013541239,-0.032975376,0.0019712038,-0.022964008,0.0033175603,0.023833962,-0.033748668,-0.02713426,-0.023212567,0.0042047747,0.023944432,0.036068544,8.711401e-05,-0.01499634,0.016722437,8.166601e-05,-0.02919177,-0.012248391,0.029937444,-0.02509056,0.019235637,-0.016943378,-0.005651245,0.028363243,-0.03996262,0.0014378397,0.02032653,-0.030047914,-0.014775399,-0.011274872,0.016487688,-0.046038486,0.0054303044,-0.02306067,-0.005195555,-0.02658191,0.029771738,-0.005782428,-0.0022853538,0.025518633,0.01920802,-0.0015664339,-0.0018072246,-0.011143689,-0.018559005,-0.0057340977,-0.008340506,-0.00627264,-0.00089066656,0.010598242,0.03529525,0.04485093,-0.034356255,-0.01095727,-0.021306954,-0.031125,-0.019456577,0.00936926,0.014009012,0.0034090437,0.015452029,0.008402646,0.0116062835,0.020354148,0.009148319,-0.007004506,-0.0139330635,0.01419543,-0.009099989,-0.0002789806,-0.008616681,-0.0278247,0.009707576,0.016556732,0.004242749,-0.004915927,0.024911046,-0.013877828,-0.0046949866,-0.011102263,0.008209323,0.0029516276,-0.007505074,-0.012800743,-0.04485093,0.008727152,0.001039111,0.0040770434,-0.014361136,-0.030931676,-0.022052629,-0.021942157,-0.020133207,-0.011778893,-0.007484361,-0.010094222,-0.02850133,0.033085845,0.010805374,0.00932093,0.04973924,0.027962787,0.004663917,-0.007187472,0.022812111,-0.01419543,-0.026927128,-0.001373974,-0.013746644,0.025131987,-0.02930224,0.019442769,-0.036841836,0.015548691,-0.016805291,-0.036427572,-0.02112744,0.029440328,0.005986108,-0.0024165371,0.00092173635,0.02464868,-0.014913487,-0.0064728674,0.013988298,0.019442769,-0.033555344,0.01738526,-0.011564856,-0.008312888,-0.010529198,0.012448619,0.010971079,-0.0052369814,0.045651842,0.18669476,-0.00091483194,0.027410436,0.015313942,-0.0045845164,0.010991792,0.01576963,0.009583296,0.006110387,0.0068077305,-0.0315945,0.014333518,-0.0024959377,0.00982495,0.010591337,-0.029909827,-0.036372337,-0.012089591,-0.017509539,-0.016957186,-0.0031104286,0.0073462734,-0.027106643,-0.022922581,0.007025219,0.0050816326,-0.008305984,0.008906666,0.020989353,-2.3868699e-05,0.013822593,-0.029136535,-0.0011582117,0.009790428,-0.027382819,-0.0054475656,-0.013905446,-0.006269188,0.02999268,0.013021683,-0.005934325,0.0044084545,0.0074705523,0.0077260146,0.012303627,-0.005261147,0.014595885,-0.015382986,-0.0014775399,-0.0010934831,-0.033251554,-0.012310531,0.019939885,0.008678821,-0.0009856019,-0.0053094774,0.021527894,0.016805291,-0.0012393384,0.008816909,0.01101941,0.03214685,-0.015203471,-0.019580856,-0.0012842169,0.017509539,-0.028970828,-0.0042531057,0.023654448,-0.0245244,0.0055028005,-0.011357725,-0.0086028725,-0.004853788,-0.025518633,-0.016404836,0.033002995,0.021334572,0.013898541,0.018103316,0.00043411367,-0.013594748,-0.004070139,0.0064417976,-0.02021606,-0.031732585,0.011254159,-0.0019487647,-0.033831522,0.0032813123,-0.0016432453,-0.011426769,-0.0045638033,-0.0045534465,-0.007926242,0.013539513,0.009017136,0.02680285,-0.0096178185,-0.0016950283,-0.01850377,0.026153836,0.009638531,-0.00411847,0.0062760925,-0.013277146,-0.010398014,0.019290872,0.0029965062,-0.015949145,0.0038630073,-0.043304347,0.016225321,0.0006201007,-0.0011314573,0.019359915,0.0064383456,-0.03153926,0.0024734985,0.0018003202,-0.01579725,-0.027631378,0.004560351,0.012773125,-0.01987084,-0.02031272,-0.020699367,0.0029291883,-0.011254159,-0.021527894,0.013574035,-0.024262033,0.020160824,-0.0056339838,-0.0014827182,0.0036213535,-0.0114129605,0.00053422735,0.0049711624,0.013159771,-0.016750054,-0.0070183147,0.0063831103,-0.012331245,0.0047053434,0.0011047027,-0.0030379326,0.02952318,0.00035881263,-0.009044753,-0.02622288,-0.0027496743,0.020160824,-0.014292092,0.03949312,-0.017633818,-0.009058562,-0.010197788,0.008927379,0.019000888,0.0037767026,0.0071736635,0.01419543,0.009286407,-0.008885953,0.0011176484,-0.17730479,-0.0027427697,0.02112744,-0.023033053,0.0020920308,-0.011012506,0.028059449,0.0018779946,-0.0022042273,-0.014264474,0.0022145838,0.019401342,-0.043414816,0.005506253,0.014858251,0.014664928,0.0119445985,0.02783851,0.01998131,0.016791482,0.028073259,-0.00075042114,0.02395824,0.026084794,0.0032364337,0.0010183979,0.002502842,0.05131344,-0.013083823,-0.012655751,-0.028446095,-0.013477373,0.015866293,-0.0043704803,-0.013090727,-0.0013040671,-0.0042392965,-0.006690356,-0.007864103,0.010425632,0.0048883096,0.011385342,0.01454065,0.0012764495,-0.0011366355,0.030959293,0.002621943,-0.008022903,0.028100876,-0.010453249,0.011212733,-0.044270962,0.020050354,-0.0030897155,0.014471605,-0.0028169919,0.015645353,0.02225976,0.003573023,8.8462526e-05,-0.02397205,0.002658191,0.0142230475,-0.013774262,-0.04896595,-0.009452113,-0.026789041,0.010418728,-0.016101042,-0.0010434262,-0.027396629,-0.021265527,-0.014692547,-0.021555511,0.019705135,0.006514294,-0.028100876,0.0048089093,0.03032409,0.01590772,0.007415317,0.05029159,-0.007587927,0.00771911,-0.0032761341,-0.00823694,-0.009493539,0.017219555,-0.022328803,-0.01658435,-0.0019263254,-0.027327584,0.0031794726,0.0013506718,0.023184948,0.016777672,-0.027424246,-0.004546542,0.03258873,-0.017744288,0.011185115,0.0069699837,-0.0139330635,0.017578581,0.041536823,0.009030945,-0.017965227,0.022218334,0.03838842,0.025035325,-0.010971079,0.004467142,-0.0015595296,-0.007394604,0.0010089043,0.02669238,-0.0021403616,0.0030603718,-0.004722604,0.009203555,0.024262033,0.011882459,-0.0009303668,0.018489962,-0.002958532,-0.0074705523,-0.10085936,-0.003048289,0.012579802,0.01601819,0.011999833,0.016943378,-0.002606408,0.009065467,-0.014443988,0.031760205,-0.021389807,-0.021831688,-0.0051472243,-0.0054475656,0.032340173,-0.0008017725,-0.023212567,-0.01362927,0.022922581,0.026554292,-0.025560059,-0.01521728,0.017012423,-0.0026789042,0.0039493125,0.009051658,-0.028363243,0.007304847,0.023695873,0.021072205,0.018489962,-0.033665817,0.019663708,-0.009410687,-0.006075865,-0.020243678,-0.017979037,-0.0061932397,0.001744222,-0.04576231,-0.004577612,0.013132154,0.015148236,-0.018945651,0.021210292,-0.01793761,-0.001003726,0.0032450643,0.0061897873,-0.0054613743,-0.022660214,-0.019939885,-0.00030141987,-0.0058480203,-0.012110304,-0.011433673,-0.00829908,-0.017330024,-0.020050354,0.0094244955,0.0037628936,0.006535007,-0.044132873,0.03189829,0.022190716,0.011502718,-0.048745006,-0.011834128,0.015037766,-0.011164402,-0.055483695,0.050153505,-0.016653394,0.012310531,-0.02736901,-0.009907803,-0.011433673,0.014002107,0.034798138,0.0010744961,-0.019898457,-0.029357474,0.0002942997,0.00046906713,0.012082686,0.024248226,-0.007905529,0.0053819735,0.01771667,-0.033582963,0.024634872,0.02125172,0.004208227,-0.0155625,-0.0020488785,0.024054902,-0.009914707,0.026540482,-0.011233446,0.00029861496,-0.05056777,-0.009438304,-0.06595075,0.027976597,0.021762643,-0.0004733824,-0.010515389,-0.012082686,0.029329857,-0.010805374,-0.017095275,-0.0058721853,0.00045223767,0.008388836,-0.036399957,0.0026547387,-0.014209239,-0.023474934,0.018048082,0.0067179734,0.052197203,0.006282997,0.00658679,0.006783565,0.02054747,0.0020437,-0.025684338,-0.013042397,0.009700671,0.01487206,0.004529281,-0.0053612604,0.03142879,-0.024842003,-0.00070165884,0.0134980865,0.020920308,-0.036841836,-0.01248314,-0.010025177,0.03747704,0.011281776,-0.01840711,-0.03314108,0.0015060205,-0.030406943,-0.009106893,0.004315245,0.0035557619,-0.016874334,0.009486634,0.008002191,0.040708296,-0.0043048887,-0.01601819,0.0010486045,0.0053094774,-0.023350654,-0.008105757,0.023392081,0.027797082,-0.0054199477,0.0072081853,0.0171367,0.004612134,-0.012572898,-0.00063693017,-0.018255213,-0.018862799,0.0054406608,0.0053992346,-0.03927218,-0.01419543,-0.002977519,0.013221911,0.00852002,0.0113646295,-0.036096163,-0.013815689,0.0007625038,0.0018641859,0.009024041,-0.0026167645,8.490244e-05,-0.033638198,0.03987977,0.010729426,0.010508485,-0.017095275,0.034107696,-0.026789041,0.0018952556,-0.017896185,0.0034780875,0.015700588,0.017523346,-0.021265527,0.0039941906,0.0061897873,-0.024482975,0.01317358,0.03871983,-0.0013575761,-4.8465598e-05,-0.015175854,-0.026844276,-0.00299478,-0.0004945271,0.016363408,-0.03021362,0.032533497,0.030986913,0.00036420667,0.003241612,-0.029799357,0.0054095914,0.0034452917,0.00806433,-0.0056029144,-0.009238076,-0.009486634,0.020091781,0.026112411,0.0028981185,-0.005671958,-0.008740961,0.037946537,-0.009638531,0.010632764,0.0037939635,0.013263337,-0.01726098,-0.011847937,-0.0009208733,-0.012835265,-0.018006654,0.008885953,-0.009866376,0.0029533538,0.01015636,0.0028480617,0.10345541,-0.01010803,-0.0053474517,-0.006424537,-0.008589064,0.021458851,0.003188103,0.019000888,-0.017288597,-0.035958074,0.021859305,-0.009880185,-0.0139330635,-0.014692547,0.007546501,-0.0067697563,-0.025518633,0.008982614,-0.027079025,-0.00025071573,0.0074912654,-0.01987084,0.030572647,0.0027065217,-0.016114851,0.004753674,0.029965062,0.005526966,0.004415359,-0.028073259,0.0016699998,0.0069976016,0.017813332,-0.016045807,-0.0010710438,-0.01204126,-0.008326697,0.012365766,0.003115607,0.017330024,-0.0037214672,0.010888226,-0.009804237,-0.0019522168,-0.023433506,-0.011198924,0.023764918,-0.036482807,-0.01521728]', 'plot population pyramids by age for a country using HDX data as an image', '{"mem_type": "recipe", "custom_id": "c6354e0c-28f6-4ba5-b2aa-69f25285cb14"}', 'c6354e0c-28f6-4ba5-b2aa-69f25285cb14', 'f5326850-7010-4185-a0b2-035ffc95a09d'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.0048532574,-0.008607796,0.0026593192,0.007810001,-0.0013139136,0.007173164,-0.024591703,0.00046144438,2.0775931e-05,-0.020224823,-0.013611516,0.032275736,-0.0011153395,-0.009125664,-0.0007527448,0.016571756,0.023961864,-0.012211873,0.02613131,-0.011924947,-0.02543149,0.02316407,0.042941004,-0.015941918,0.00091501576,0.0041079484,0.005441107,-0.03289158,0.0101544,0.011323101,0.008635789,-0.013184626,-0.012764731,-0.021008622,-0.0033993798,0.0019892408,-0.009076676,0.00037549762,0.02054674,0.00071731635,0.0009736258,-0.004398374,0.0065363264,-0.0055320836,-0.0037580382,0.007278137,0.030568175,0.0030284745,-0.009209642,0.018923156,0.0135485325,0.021820413,-0.008425843,-0.019720951,0.029308498,0.037678353,0.008117922,-0.018727206,0.0027677913,-0.023430001,0.008362859,0.0004570705,-0.03804226,-0.0006827627,-0.031267993,-0.03765036,-0.0088317385,0.012631766,0.0018562749,0.01832131,0.017943406,0.036110755,0.0035725855,0.008796748,0.011218128,0.010770243,-0.017523514,0.0024686179,0.016263835,-0.0012351838,0.02789486,-0.022408262,0.009006694,0.009279625,0.030344233,-0.020042868,-0.023443997,0.060800437,0.001296418,-0.0071801622,0.029448463,-0.0046188175,0.0074740867,-0.008264884,-0.013968425,-0.0025683425,-0.011749991,0.039189965,-0.002101212,-0.03524298,-0.003925995,-0.008075932,-0.026257277,-0.008775753,-0.030932082,0.0041884277,0.002839523,0.0005476098,0.007740019,-0.015466041,-0.030036312,0.022114338,0.00062152836,-0.03686656,-0.0015343572,-0.023751918,0.016543765,-0.0059939655,-0.0115960315,-0.02671916,0.012953684,0.025207546,0.01917509,-0.009202644,0.010959194,0.00711018,-0.006931726,-0.016543765,0.0030302242,-0.01480821,-0.008523817,0.015228102,0.011274113,-0.0023496484,-0.026747154,0.0410095,-0.027488964,0.015578013,-0.012099902,-0.027279017,0.020056864,0.017397545,0.010931201,0.0035655873,-0.019133102,0.035438925,0.012946685,0.029252512,-0.0067182803,-0.03031624,0.004867254,-0.025487475,0.018195342,-0.0038875048,-0.012995672,0.00667979,-0.005927482,0.013520539,-0.01965097,-0.00069588434,-0.018489266,-0.019511005,-0.001894765,0.013051658,0.00019802742,0.03667061,-0.0076420438,-0.013961426,-0.0026033334,0.008383853,0.0028290257,0.038686097,-0.020168835,-0.00456983,0.015578013,0.0040204707,-0.0052206633,0.024647688,-0.014402313,-0.002526353,-0.017509516,0.033675376,0.036250718,0.019874912,0.0017574251,-0.0087127695,0.02691511,-0.017971398,-0.010063424,-0.027139053,0.016893676,0.0053921193,0.0011293358,0.016151864,-0.6346535,-0.025375502,0.0050212145,-0.0164038,0.018881166,0.03283559,0.011113155,-0.0041709323,-0.020742688,0.021876398,-0.0021274553,0.03051219,-0.017789446,-0.047475845,0.00036412553,-0.024325771,-0.032387707,-0.015843943,-0.019287063,0.044144697,-0.001996239,0.029392477,-0.011805978,0.0021257058,0.0064243553,0.023024105,0.01535407,0.0053396327,0.023905879,0.013016667,-0.013331587,0.0008345364,0.0011940693,0.00066657935,0.048931472,-0.017173603,-0.0070576933,0.013408568,0.041541364,0.053662263,-0.024479732,-0.0011415827,0.03468312,0.023262044,-0.016067887,0.0032121777,-0.0058644987,0.010056425,0.008152912,-0.034207243,0.003273412,0.0128697045,-0.019133102,0.0013620263,0.019483011,-0.0027362995,0.006574817,-0.017915413,0.009132662,0.0049897223,0.0005143683,-0.0171876,-0.027251026,-0.007977958,-0.010483316,0.021708442,-0.012113898,0.024927618,0.004065959,-0.022870144,0.0060289563,0.018979141,-0.010574292,-0.0048602554,0.020294804,0.016949661,0.018601237,-0.014976166,-0.010427331,0.017649481,0.0014328831,-0.019804928,-0.022478245,0.011973934,0.0027345498,0.0089437105,-0.024815647,-0.0011547044,0.0073691136,0.0029934836,-0.000533176,0.008880726,-0.006049951,-0.034739107,-0.013443559,0.04268907,-0.014052403,0.0071136793,0.019287063,-0.040141724,-0.026593193,0.012995672,0.005860999,0.01644579,0.033703372,0.03012029,-0.0074320976,0.009643531,0.025879374,-0.026061328,-0.014668246,-0.010133405,-0.041961256,-0.009188647,0.026327262,-0.03734244,0.025907367,0.00648384,-0.0063018864,0.013457555,0.033563405,0.0004389189,0.034655128,-0.012015924,0.018909158,0.008649785,0.017089624,-0.0017801693,0.0022866644,-0.005951976,0.013009669,0.0063018864,0.0167957,-0.033675376,0.002038228,-0.0040834546,0.006938724,-0.011624024,-0.013534536,-0.023430001,-0.02340201,0.0053011426,0.0034098772,-0.005773522,-0.011330099,-0.012778728,0.0018212838,0.010462321,0.019832922,0.0025053585,-0.014150378,-0.0022796663,-0.015060145,-0.0022674194,0.012456811,0.007914973,0.021708442,-0.010378343,0.008180905,-0.007879983,-0.0019000137,0.0059589744,-0.0035498415,0.0006197788,0.0034291223,-0.0080269445,-0.0010357348,0.035998784,0.006350874,-0.0052206633,-0.0025945858,-0.028020827,-0.026425237,0.037818316,-0.0027765392,0.037790325,-0.02981237,0.0022481745,0.015116131,-0.033899322,0.040449645,-0.0060639475,-0.015480038,-0.007956963,0.012547787,0.00023312782,-0.008852733,0.01581595,0.01101518,0.020770682,-0.029308498,0.023346022,-0.013380575,0.023905879,-0.0012028171,0.011952939,-0.01535407,0.0049897223,-0.006634302,0.0026173298,0.035718855,0.011183137,-0.007313128,0.010966192,0.040281687,-0.026285272,-0.0016262087,-0.030540183,-0.017229589,0.02417181,0.028230773,-0.040673587,-0.0050632036,-0.0064733424,0.0070961835,-0.004303898,0.003856013,-0.0084818285,-0.027572943,-0.016473781,-0.011148145,-0.01651577,0.026467225,-0.011421076,-0.0019175091,-0.010126407,-0.013156632,0.00018195341,0.0054900944,-0.02140052,-0.00722915,0.017117618,-0.008845735,0.0018177847,0.03658663,-0.0073901084,-0.010140404,0.000984123,0.028608678,0.016319823,-0.014864195,-0.005098195,0.005514588,-0.0073971064,-0.012547787,-0.011456067,0.025179554,0.009048684,-0.037314445,0.024913622,0.011120153,0.022520235,-0.009272626,0.00785199,0.011204131,-0.009643531,0.01109216,0.0039050004,0.035606883,0.01823733,0.03932993,-0.0109102065,0.006613307,0.010875216,-0.016669732,-0.023597958,-0.035159,0.0062039117,-0.0129816765,0.012806721,-0.014626256,-0.0082019,0.0038455157,-0.02133054,0.0021274553,-0.016333818,0.03667061,0.0017915415,0.005577572,0.012393827,-0.023905879,-0.02366794,0.029868355,0.0033871331,-0.009377599,-0.04504047,-0.022156328,-0.012785726,-0.005276649,0.010805233,0.03269563,0.0033311474,0.013821462,-0.02163846,-0.0006963217,0.018349303,0.031827852,-0.0070576933,0.0025840884,0.018419284,0.0051506814,-0.0019629975,0.0026890615,-0.024227796,0.034123264,0.0030827108,-0.007970959,-0.016137868,-0.0056160623,0.0068127564,0.0009473825,-0.00010513715,-0.03471111,0.010539302,-0.006319382,0.0020609724,-0.015955916,0.013723487,0.011428074,0.02011285,-0.008082931,-0.039665844,-0.029896347,0.014087394,0.04316495,0.023681937,0.019888908,-0.016067887,-0.0012203126,-0.00037440413,-0.02222631,-0.018111363,0.013443559,0.015130127,0.00079735834,0.020042868,0.016263835,-0.0008389103,0.013723487,-0.0107912375,-0.014444303,-0.020756686,0.00027424228,0.00062152836,-0.014850199,-0.008222895,0.008488826,0.008075932,0.014311337,-0.0018685217,0.02793685,0.045488354,0.002675065,-0.012127895,-0.011924947,0.021890396,-0.0074250996,0.022492241,-0.01222587,0.014780217,0.020140843,-0.0041569355,0.021372529,0.0061654216,0.016613746,0.0034991044,-0.003238421,-0.0006604559,0.017117618,0.011784983,-0.02445174,0.02436776,-0.02874864,-0.0025246036,0.016585754,-0.014073398,-0.011050171,-0.003932993,-0.005098195,-0.0029374978,-0.0039574867,-0.009384598,-0.012260861,-0.009664525,-0.028608678,-0.011861963,0.042633086,-0.01995889,-0.01535407,0.0072571426,-0.029056562,-0.014780217,-0.016179858,0.0017705468,-0.0062109097,-0.042633086,-0.002402135,0.004457859,0.007166166,0.016067887,-0.001652452,-0.016417796,0.005472599,-0.015899928,-0.019678961,-0.00410095,-0.0014416309,-0.01675371,-0.0105602965,-0.011554042,-0.005206667,-0.019189088,-0.016333818,0.028972585,-0.005112191,-0.024549715,0.0021029615,-0.010357348,-0.025963353,-0.021568477,-0.009475574,0.0149341775,0.00061802927,-0.0007737394,0.011617025,-0.01945502,-0.026579197,-0.031687886,0.017985396,-0.012239866,-0.010343351,-0.0023741422,0.00066220545,-0.00075668126,0.023919877,-0.009188647,-0.016851686,-0.009678522,0.014920181,0.0069247275,0.028384734,0.013877448,-0.019986883,0.0012325594,-0.007019203,0.030008318,-0.0071556685,-0.0056615504,-0.023332026,0.008565807,0.007893979,-0.015256095,-0.027670918,-0.014213362,-0.014724231,0.020910647,-0.005203168,-0.018363299,-0.015689982,0.018895162,-0.02257622,0.0075300727,-0.004972227,-0.030876096,-0.018405288,-0.0013419064,0.0012806721,-0.013961426,0.012631766,-0.024521722,-0.012911694,-0.00048506333,0.0026313262,0.02140052,0.0060359547,-0.012204875,-0.014332332,-0.0076420438,-0.017047634,-0.032779608,-0.018923156,0.03647466,0.018531255,0.028860612,0.034011293,0.036894552,0.029280504,-0.0002952369,0.0016472033,0.005983468,0.00024362514,0.0043528853,-0.015004159,0.01023138,0.010070422,-0.0015929672,-0.011547044,-0.0050247135,-0.01312164,0.020910647,-0.009790493,-0.028006831,0.010343351,-0.017985396,-0.0018545253,0.017173603,-0.016109874,0.012281856,-0.04476054,-0.010126407,0.024633693,-0.008453836,0.019119104,0.02046276,0.0025770902,-0.002284915,0.026257277,0.005675547,-0.013877448,0.003967984,-0.013513541,-0.00667979,-0.0025665928,0.028510703,0.004331891,0.03675459,-0.0077750096,0.005812012,0.00038402667,0.0064348523,0.00022941003,0.024577707,0.009363603,-0.012561784,-0.012799723,-0.024283784,-0.021372529,-0.007313128,0.016347814,0.010917204,-0.02667717,0.017873423,-0.02347199,-0.029896347,-0.0035183495,0.0010436078,0.03527097,-0.0006788262,0.03734244,0.018503262,-0.004695798,-0.024465736,0.008719767,-0.024437742,0.0015571014,0.017887421,0.041849285,-0.029224519,-0.051926706,-0.02144251,0.010973191,0.010357348,-0.040477637,0.0035638378,0.007914973,0.009230637,-0.025571452,-0.003089709,-0.038490146,0.0024441243,-0.0053991177,-0.015382063,0.029700398,-0.01394743,-0.006242402,0.016039893,-0.034935057,0.03706251,-0.009433584,-0.008334866,-0.0065363264,-0.0070646917,-0.022408262,0.021708442,0.020854661,0.018727206,0.0031911829,0.03854613,0.030288247,0.0011905702,0.01738355,-0.0059939655,0.0085938,0.029896347,-0.02046276,-0.00011492371,0.02058873,-0.0070926845,0.022394266,-0.0010418582,-0.022240305,-0.0071801622,-0.011931945,-0.024325771,0.020476757,-0.016081883,-0.0037055514,-0.0005769148,-0.0030599665,-0.0025945858,-0.02253423,0.0032839093,0.014976166,-0.012953684,-0.01531208,0.016655736,0.007649042,-0.008047939,0.020056864,-0.016333818,-0.005315139,0.02778289,-0.026313264,0.019790933,0.020098854,0.008418844,-0.021386525,0.009713513,-0.038602117,0.004072957,0.006315883,-0.024157815,-0.019706955,-0.045208424,-0.008082931,0.022716183,0.03616674,0.010168397,0.0039224955,0.019846918,-0.009440583,-0.02222631,0.0017915415,0.0149341775,-0.03300355,-0.00062152836,-0.0060989386,-0.01585794,0.02054674,-0.03051219,-0.0071941586,-0.0032314227,-0.002592836,-0.013821462,-0.008558809,0.03031624,-0.0135485325,0.012813719,-0.010042429,-0.023905879,-0.010728253,0.025039589,-0.0041289427,-0.008257885,0.035830826,0.003542843,-0.0006495212,0.012218871,-0.021624463,-0.031743873,-0.0012596775,0.009524561,0.010280368,-0.014318335,-0.001433758,0.007166166,0.036250718,-0.03902201,-0.025277529,-0.0058889925,-0.04098151,-0.023919877,-0.024563711,-0.0018720208,0.013863452,0.01965097,-0.0124988,0.027251026,-0.010595287,0.012204875,0.0017871675,0.0048567564,0.0062319045,-0.024045844,0.019832922,-0.0043563847,-0.006480341,-0.019930897,0.011323101,0.021358531,0.026509214,0.024031848,0.0012929189,-0.0069912104,-0.02425579,0.010280368,-0.0017740459,0.0022674194,-0.015606006,-0.016501775,-0.0045978227,-0.0039854795,0.007712026,-0.023024105,-0.014276346,-0.00093950954,-0.009447581,-0.025963353,-0.017131614,-0.008040941,0.0075370707,-0.017677475,-0.0038525139,-0.00347636,0.010686264,0.047055952,0.027376993,-0.0056160623,-0.017509516,-0.005308141,-0.011400081,-0.027139053,-0.008614794,-0.011652017,0.021036614,-0.020098854,0.022842152,-0.01664174,0.016151864,-0.009111667,-0.02436776,-0.031184018,0.03062416,-0.012729741,-0.008082931,-0.013352582,0.013240611,-0.012134893,-0.01515812,0.009433584,0.02874864,-0.027321007,0.017649481,-0.020574732,0.0039819805,0.0074950815,0.009825485,-0.02613131,-0.011001184,0.047363874,0.19393435,0.0052976436,0.0025420992,0.022478245,0.008166909,0.019105108,-0.007747017,0.0055600763,0.005353629,0.0041779303,-0.012974679,0.031491935,-0.0031509432,0.0013287847,0.013569526,0.010259373,-0.049939215,-0.031575914,-0.013030664,-0.029336492,0.027167046,0.019664966,-0.013877448,-0.027055075,0.01664174,0.0023531476,-0.027978837,-0.00048068946,0.026887119,0.013380575,0.005203168,-0.02429778,0.006935225,0.023430001,-0.012239866,0.0024808648,-0.00913966,0.009965449,0.036222726,-0.01261777,0.005577572,-0.0026540705,0.017313568,-0.0072011566,-0.0033766357,0.002339151,-0.0085938,-0.013051658,0.006329879,-0.00089139683,-0.030932082,-0.016991649,0.012204875,0.006448849,-0.004779776,0.00156235,0.027558945,-0.00023181566,-0.0005401742,-0.0019664965,-0.0046573076,0.027586939,-0.012568782,-0.0006355248,-0.015787957,0.014990163,-0.018055378,0.0040519624,0.020364786,-0.00015122691,0.00765604,-0.017173603,-0.014017412,-0.004058961,-0.011763988,-0.016501775,0.002601584,0.012281856,0.021750432,0.028146796,-0.003964485,0.0047517833,-0.010252375,0.002116958,-0.007593056,-0.030148283,0.012862707,-0.008411846,-0.028258767,-0.008572805,4.4531567e-05,-0.015913926,-0.022506237,0.021274554,-0.008859731,-0.008215897,0.0109032085,0.008754758,-0.009874471,-0.0008603423,-0.01675371,0.048091687,-0.007921971,0.0043213936,-0.0035970793,-0.02355597,-0.037930287,0.014892188,0.019720951,-0.017131614,0.0021117094,-0.027768891,0.0033154015,-0.004706295,-0.022016363,0.008236891,0.020126848,-0.02804882,-0.0040204707,0.013149634,-0.007886981,-0.024591703,0.0106722675,0.012596775,-0.027362997,-0.016585754,-0.02554346,-0.01019639,-0.011176138,-0.030456204,0.010931201,-0.01937104,0.010581291,-0.003908499,0.020574732,0.022198316,-0.0013147884,-0.01734156,-0.0034606142,0.0061094356,-0.016991649,-0.004975726,0.007879983,-0.007823997,0.007816998,0.0021904393,-0.01902113,0.024815647,-0.01644579,-0.016907671,-0.008264884,-0.0074600903,-0.0074670888,-0.020168835,0.014206364,-0.020784678,-0.010511309,-0.021666452,0.04397674,-0.02124656,-0.017509516,0.03160391,0.016963657,0.006074445,-0.010644275,-0.0026068327,-0.18060976,0.0070716897,0.021414516,-0.017957402,0.016109874,0.0029794872,0.029588426,0.015997903,-0.00691423,-0.002183441,-0.019497009,-0.0045803273,-0.0554818,0.0011424575,0.023220055,-0.0031107035,0.010399338,0.02229629,0.015578013,0.025809392,0.049379356,-0.0018037882,0.026019339,0.0023828899,0.010511309,0.0067602694,-0.016949661,0.043248925,-0.007684033,-0.0024896127,-0.006564319,-0.013863452,0.01823733,-0.0033993798,-0.021512492,-0.020224823,-0.011400081,-0.015102134,-0.01387045,0.018363299,0.014626256,0.006175919,-0.0030477196,-0.0022254302,-0.0014704985,0.014430306,0.007977958,-0.031967815,0.02613131,-0.009629535,0.025081579,-0.018811183,0.02809081,0.0079009775,0.013863452,0.017229589,0.003999476,0.0076420438,0.005014216,-0.0014573769,-0.01902113,-0.026929107,0.013184626,-0.0079009775,-0.037090503,-0.037314445,-0.039637852,0.007956963,-0.004863755,-0.0042199194,-0.011260117,-0.009909463,0.00054192374,-0.01441631,0.014402313,0.011966936,-0.018881166,0.0002705245,0.017635485,0.0020137343,-0.012400825,0.03171588,-0.0129816765,-0.0016734466,0.004065959,-0.022072349,0.014948173,0.01035035,-0.0060044625,-0.0047237906,0.0063648704,0.0058050137,0.0077960044,-0.027880864,0.0022586717,0.021918388,-0.00012192192,-0.00044044977,0.027432978,0.0050632036,-0.0060044625,0.0079009775,-0.037398424,0.016291829,0.017229589,0.022254303,-0.017873423,0.027614933,0.039861795,0.0014792463,-0.032107778,0.006672792,0.012743738,0.008180905,0.00289026,0.020532742,0.011337098,0.010189391,0.0056580515,0.006154924,0.007173164,-0.018797187,0.004436864,0.011477062,-0.026439233,-0.018993137,-0.09741506,-0.015731972,0.008614794,0.00527315,-0.0071171783,0.017313568,-0.0044508604,-0.0068792393,-0.0037370434,0.031072047,-0.014570271,-0.017523514,-0.00933561,-0.004741286,0.029224519,0.02510957,-0.012253863,-0.0068792393,0.019636972,0.035298962,-0.012323844,-0.041765306,0.0038490149,-0.017047634,0.003121201,0.026355254,-0.01745353,0.012827716,0.0042129215,0.027754895,0.024003854,-0.015480038,0.024437742,-0.020406775,-0.011421076,-0.020014875,-0.0039434903,-0.0075580655,-0.0033923816,-0.051926706,0.0152840875,0.028398732,0.023975862,0.0002919565,-0.004436864,-0.019357044,-0.014864195,0.032275736,0.0080199465,0.003754539,-0.0062284055,-0.005878495,0.018937152,-0.015452045,0.018587241,-0.015647994,-0.017803442,-0.0026610687,-0.022744177,0.004667805,0.0041849287,-0.0016874431,-0.05167477,0.023304034,-0.0016463286,0.011708003,-0.049463335,-0.008740762,0.021232564,-0.0005987842,-0.041737314,0.040169716,-0.02159647,0.0065048346,-0.0105602965,-0.004198925,-0.019427026,0.021134589,0.030764125,-0.012722743,-0.012596775,-0.033759356,0.007250144,-0.0055110888,0.002741548,0.006182917,-0.0013882696,0.016627742,-0.008229893,-0.03429122,0.033619393,0.0269571,0.02429778,0.0013331587,-0.008138916,0.03308753,0.002199187,0.007404105,-0.0018020388,0.0014363823,-0.037594374,0.009622537,-0.06466345,0.021904392,0.028174788,0.0134365605,-0.0017390549,0.0064243553,0.009321613,-0.0008966455,-0.0074950815,0.0041919267,-0.007956963,0.018657222,-0.023653943,-0.0030617162,-0.0064628455,-0.03891004,0.022814158,-0.0057980157,0.038686097,0.01855925,0.012085905,-9.802959e-05,0.02316407,0.015326077,-0.011274113,0.005315139,0.002234178,0.01937104,0.004331891,-0.017873423,0.035326954,-0.010875216,-0.016263835,0.019972887,0.0016970657,-0.029504448,-0.024381757,-0.01651577,0.046692044,0.008082931,-0.017327564,-0.006844248,-0.001359402,-0.02257622,0.00024493728,-0.01175699,-0.01277173,-0.016809696,0.021750432,-0.00035909557,0.025529463,0.0074950815,-0.0043143956,-0.017509516,-0.0058260085,-0.034207243,0.0171876,0.012911694,0.024857637,-0.027362997,0.0036460666,0.0012281856,0.02214233,-0.00138652,-0.006907232,-0.010105412,-0.005185672,-0.0026698164,0.011323101,-0.028860612,-0.027712906,-0.0007400605,-0.00531164,0.0066832895,0.014136381,-0.018601237,-0.008642787,-0.0056545525,0.0092936205,0.009097671,0.013660504,0.004163934,-0.029700398,0.04030968,0.009251631,0.011708003,-0.025767403,0.0040799556,-0.0007356866,0.00628789,-0.039637852,0.014864195,-0.0037475408,0.011652017,-0.004776277,0.0107912375,-0.005693042,-0.03252767,0.022198316,0.018741202,0.013387573,0.0023181564,-0.01636181,-0.035830826,-0.014920181,0.0021606968,0.0055530784,-0.024129823,0.007649042,0.0065048346,0.0026908112,-0.010490314,-0.015494034,0.006518831,-0.015060145,0.013191624,-0.0010803484,0.004863755,-0.017775448,0.026523212,0.023975862,0.011645018,-0.01202992,-0.010693262,0.01855925,-0.0009692519,0.008285878,-0.006291389,0.007893979,-0.02144251,-0.0055950675,0.005847003,-0.001859774,-0.022282295,-0.01347855,-0.01429734,-0.00691423,0.004230417,0.0017040638,0.09265628,-0.002440625,0.005304642,-0.011190135,-0.015550019,0.01945502,0.008964704,0.01515812,-0.009083674,-0.027978837,0.038686097,-0.01441631,-0.0114840595,-0.03160391,-0.016221847,0.01277173,-0.013408568,0.0019122605,-0.015745968,0.0023024105,0.0011424575,-0.0017915415,0.017999392,0.01257578,-0.011260117,0.00095525547,0.010896211,0.0035253477,-0.004835762,-0.022884142,-0.013030664,-0.0056230603,-0.00035165995,-0.011085162,0.012876703,0.002750296,-0.024563711,0.019622976,0.005644055,0.013646507,-0.015843943,0.015969912,-0.007684033,0.0015168616,-0.026481222,0.013730486,-0.002550847,-0.025949357,-0.014444303]', 'plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image', '{"mem_type": "recipe", "custom_id": "577cf9fd-c7c0-4ce3-8554-a1b8d94ae79c"}', '577cf9fd-c7c0-4ce3-8554-a1b8d94ae79c', '72ec8079-5d05-4962-9f02-ff02e5699673'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.015268016,-0.004117528,-0.01321616,-0.009209169,0.0016692915,0.03142033,-0.01890194,0.008843013,-0.0026459952,-0.048995823,-0.0052781734,0.0065666283,-0.00945097,-0.016152315,0.00013331446,0.015958875,0.009513147,-0.03130979,0.0048014796,-0.0074405666,-0.026114523,0.013734305,0.025354577,-0.00910554,-0.0005604605,-0.00043977585,0.011938067,-0.029099042,-0.006756615,0.0022660221,0.018874306,-0.02865689,0.0071987654,-0.04261227,-0.0037928238,-0.0036615604,-0.00040134674,-0.00423152,0.012083148,0.0102247335,-0.0081659695,-0.009837852,-0.006051937,-0.032884955,0.00019721907,0.013603042,0.01153046,0.0059413994,-0.012732558,0.03937904,0.009133174,0.0383013,-0.019924413,-0.01351323,0.007986346,0.01736823,-0.0076270993,-0.01583452,-0.008110701,-0.024428826,0.019993499,-0.0074820183,-0.026888289,0.0074405666,-0.032221727,-0.03567603,0.0073714806,0.009001911,0.039959364,0.0025561834,0.044436138,0.03979356,-0.015654895,-0.018763768,0.019205919,-0.000797512,-0.031226892,-0.0076961853,0.003407669,0.0048118425,0.024539363,-0.03084001,-0.0010328363,0.0029637911,0.007419841,-0.004646036,-0.007855083,0.042557,0.0010311091,-0.0017703299,0.013644493,0.021292318,0.026307965,-6.881617e-05,-0.006791158,-0.0018238715,-0.009222986,0.021402854,0.022978017,-0.016760273,-0.008172878,-7.523901e-05,-0.033023126,-0.011039949,-0.03479173,-0.014231725,-0.00051641813,0.008007072,0.029596461,-0.016815541,-0.014521887,0.028960869,0.003751372,-0.031779576,-0.015682532,-0.028435815,0.006193564,-0.00040069906,-0.020076403,-0.02434592,0.0155305425,0.018404521,0.009292072,-0.017699843,-0.0010103834,0.031337425,-0.0076823677,-0.032829687,-0.001725424,-0.012041696,0.0073922067,-0.0047876625,0.010245459,-0.010065836,-0.019109199,0.0063144644,0.0024301014,-0.0007003597,-0.03454302,-0.0383013,0.021817371,0.018321617,0.02097452,-0.012628929,-0.010335271,0.0416727,0.025658557,0.0035510226,-0.0024059212,-0.01805909,0.003917178,-0.023530705,-0.0009110722,-0.0007530378,-0.010362905,0.017188607,-0.006846427,-0.0041589793,-0.008794652,-0.012898364,-0.009015728,0.007336938,-0.0051883613,0.023544522,0.041562162,0.033935063,-0.023530705,-0.02172065,-0.004048442,-0.0035354781,-0.0051503642,0.013651402,-0.0059552165,-0.019012477,0.014328445,-0.002930975,-0.019440811,0.022895113,-0.013527047,-0.021983176,-0.0009887939,0.025769094,0.017741295,0.01989678,-0.007675459,-0.013223069,0.026805384,0.0039517214,0.018819036,-0.013596133,0.028546352,0.00023467666,-0.0047842083,0.0011468283,-0.63094896,-0.029099042,-0.0016606557,-0.032276995,0.01667737,-0.0047082133,0.017064251,0.0035993827,-0.017893285,0.013976106,-0.0020898527,0.02737189,0.002530276,-0.028200923,-0.0023005651,-0.015571994,-0.024221566,-0.014217908,0.030895278,0.02355834,-0.025962535,0.003979356,0.009789492,0.007751454,0.011806804,0.019882962,0.031696673,0.0003769507,-0.0044215065,0.021927908,-0.019109199,0.009513147,-0.008718658,-0.017091885,0.04131345,0.009962207,-0.020394199,0.008490674,0.0022660221,0.027634418,-0.020104038,-0.009091723,0.019620435,0.017589305,-0.006172838,-0.001863596,-0.014259359,-0.012255864,0.006031211,-0.039600115,-4.0264207e-05,0.0020069494,-0.024691353,0.006777341,0.013326698,0.0018186901,-0.0036062915,-0.008456131,0.01978624,0.0039413585,0.0027064455,-0.011979519,-0.027993664,-0.0031710493,-0.0065804454,0.023130005,-0.01617995,0.005437071,0.0030017884,-0.024926245,-0.0057375953,-0.004953469,0.010756697,-0.017782746,0.018432155,0.02003495,0.011219572,-0.014756778,-0.014190273,2.1144106e-05,-0.0016606557,0.01192425,-0.028352913,0.012407853,-0.0039862646,-0.0002996607,-0.040650226,0.0063870046,0.0026874468,0.022715488,0.007067502,0.013223069,0.008414679,-0.011827529,-0.012456214,0.011026132,-0.0018566874,0.010556347,0.011813712,-0.02097452,-0.018777585,-0.023572156,-0.0038273667,0.0093404325,0.055821523,0.007903443,-0.038771085,-0.0055199745,0.040125173,-0.018086724,-0.010929411,-0.0029914253,-0.030314956,-0.014687693,0.032636244,-0.03354818,0.02846345,-0.010190191,0.025368394,0.0002463349,0.04244646,0.014604789,0.02196936,-0.021679198,0.009278255,0.030314956,0.0034111233,-0.0037099204,-0.02152721,-0.0045907674,-0.00050475984,0.007212583,0.016939897,-0.012905273,0.023834683,-0.0036270171,0.00040393745,0.0046391273,-0.017976187,-0.0074474756,0.009409518,0.0032487712,0.0038619097,-0.03562076,-0.0073162117,-0.014770596,-0.02549275,0.007012233,-0.0016157498,-0.014135004,-0.0019499535,-0.02068436,-0.0072333086,0.022176618,0.029430654,-0.0031572322,0.025009148,-0.0023195636,0.00043437848,8.355093e-05,0.016691187,0.027758772,-0.014003741,-0.010169465,0.0075994646,-0.009672046,-0.0031244163,0.045652054,0.020490918,-0.009547691,0.0112610245,-0.021941725,-0.021416672,0.03686431,-0.007827448,0.02321291,-0.00791726,-0.0035648397,-0.003948267,-0.019855328,-0.0033230386,0.0125253,-0.005343805,-0.025934901,0.036311623,-0.0069466014,-0.00082082854,-0.008732475,-0.011848256,0.033769254,-0.01953753,0.033271834,-0.0016304306,0.016014144,0.009506239,0.032000653,-0.009976024,0.019634252,0.006480271,0.017686026,0.042695172,0.013285246,-0.0012340493,0.007931077,0.03341001,-0.043082055,-0.0055579715,-0.016470112,0.0044076894,0.008083067,0.016414843,-0.03736173,-0.008932825,-0.007267852,-0.003682286,0.010369814,-0.0067946124,-0.0044215065,-0.033327106,0.0036304716,0.0153923705,-0.012331858,0.021237047,0.0074820183,0.0021313042,-0.024415005,-0.008504491,0.015627261,0.011157395,-0.03274678,-0.0060139396,0.015240381,-0.015378553,0.0015190293,0.0357313,0.017326778,0.0064284564,0.0077790883,0.019012477,0.010128013,-0.004507864,0.010017475,0.009119357,-0.026459955,0.018183446,-0.00011712243,0.019882962,0.015903605,-0.02587963,0.02608689,0.0036995576,-0.0022591134,-0.009064089,0.022231886,0.0067842496,-0.0026598126,-0.005423254,0.01796237,0.043911085,0.036256354,0.036698505,0.009955298,-0.007834356,-0.003098509,-0.016829358,-0.02811802,-0.0071158623,0.0029810625,-0.025548019,0.006324827,-0.00821433,-0.0024680987,-0.003782461,-0.021057425,-0.005288536,-0.012518391,0.0017772384,-0.009070997,0.020062586,0.0023921041,-0.028739793,-0.027288986,0.037278827,-0.004739302,-0.006435365,-0.028325278,-0.030121515,-0.0018307802,-0.028076569,-0.0062246523,0.003989719,0.007931077,0.031116353,-0.00890519,-0.022991834,0.010604707,0.019565167,0.0094924215,0.008380136,0.026791567,-0.01687081,-0.003302313,-0.014328445,-0.028822698,0.048470765,0.016110864,-0.0016157498,-0.016953714,-0.015875971,-0.010963954,-0.002839436,-0.007634008,-0.008953551,0.04073313,0.0081659695,0.012573659,-0.036007643,0.0057859556,0.027136998,0.008324868,-0.0036270171,-0.040539686,-0.017492585,0.028573988,0.033327106,-0.0032142282,0.012711832,-0.015281833,-0.01949608,0.001476714,-0.026584309,-0.017920919,0.0070640477,0.008207422,-0.011122853,0.00945097,0.015516725,-0.0021589387,0.031254523,0.0012210957,-0.000543189,-0.029126676,-0.016014144,0.00078499014,0.004324786,0.001173599,-0.0003624858,0.019869145,0.022328608,0.031365063,0.039848827,0.03205592,0.0030276957,-0.0070225964,-0.013257612,0.013575408,0.0032919499,0.028739793,-0.0030276957,0.019869145,0.016663553,-0.0011459646,0.011288659,-0.0001129125,0.02227334,0.009754948,-0.00046201292,-0.019855328,0.006573537,-0.0032574069,-0.0015198928,0.014715327,-0.008635755,-0.011074492,-0.0019050476,0.005457797,0.0060553914,-0.00890519,-0.012290407,0.014632423,0.0008311914,-0.024511728,0.0094164265,-0.009444062,-0.031779576,0.003899907,0.021195596,-0.025354577,-0.025299309,-0.01924737,-0.04374528,-0.02058764,-0.003359309,-0.0002571296,0.012255864,-0.035814203,-0.013001993,0.01623522,0.010618524,0.030370224,0.012946725,-0.019758606,-0.007675459,-0.025257858,-0.008870647,-0.00949933,-0.00871175,-0.026155977,-0.015240381,-0.0013782665,-0.027827859,-0.018349253,-0.003044967,-0.0004935334,-0.0018100543,-0.012020971,0.034653556,-0.01692608,-0.014853499,0.0021468487,0.0050674607,-0.006390459,0.0032988586,-0.0069086044,0.030425493,-0.034764096,-0.022895113,-0.014577155,0.026446138,0.00826269,-0.012262773,-0.010597798,-0.009989841,-0.029209578,-0.0001340701,-0.018031456,-0.001332497,-0.014480434,0.02202463,-0.018971026,-0.0043075145,-0.0065148138,-0.0014119459,-0.011986428,-0.013368149,0.016401025,-0.017395865,0.0037444634,-0.027634418,0.024539363,0.0006131386,-0.009734223,-0.02053237,-0.0062453784,-0.021250864,0.011799895,0.00059284456,-0.003578657,-0.021748284,-0.0056166947,-0.023130005,-0.007385298,0.0025233675,-0.01627667,-0.014839682,0.0034974809,0.0056305123,-0.025147319,-0.0025682736,-0.0225635,-0.00087782455,0.016746456,-0.013499413,0.022895113,0.012269681,-0.004711668,-0.010625432,-0.030536031,-0.016304305,-0.022259522,-0.02846345,0.024069576,0.014328445,0.011613363,0.041396353,0.04275044,0.029071407,-0.007931077,-0.0056719636,0.020366564,0.0166221,-0.014784413,-0.007861991,-0.00331613,-0.002803166,0.016166134,-0.0005069188,-0.0035648397,0.021195596,0.006183201,-0.015571994,-0.026225062,0.011502826,-0.031751942,-0.026017804,0.003371399,-0.012490757,-0.01093632,-0.03130979,0.0034335763,0.039406676,-0.0055303373,0.018722316,-0.0048256596,-0.00025864085,-0.0014749869,0.03360345,0.012815461,0.013996832,0.001943045,0.010521804,-0.011509734,0.029983342,0.026266513,0.017299144,-0.0026183608,0.006449182,0.016470112,0.0005708234,0.029485922,0.0057030525,0.023088554,-0.0028428906,-0.010266185,0.0016779272,-0.022853661,-0.019357909,-0.012898364,0.0036408345,-0.01608323,-0.016511563,0.03153087,-0.02574146,-0.016705004,0.012684197,-0.015378553,0.034211405,0.0072747604,0.024539363,0.0046978504,-0.009927664,-0.02717845,0.0053921654,-0.022010813,0.0021658472,0.023917586,0.021416672,-0.011516643,-0.03772098,0.02108506,0.011944976,0.015433822,-0.056401845,0.015447639,0.005696144,0.01173081,-0.02549275,0.008449223,-0.0366156,0.008746292,-0.0002435283,-0.018570326,0.008020889,-0.01385866,-0.019952048,0.0019240463,-0.016760273,0.015806885,-0.013050353,-0.024497911,0.004652945,-0.014010649,-0.010273094,0.015848337,0.012069331,0.004359329,0.017547853,0.009761857,0.00038321165,-0.003751372,0.0174235,-0.007882717,0.005091641,0.03180721,-0.015420005,-0.011178121,0.0054059825,0.003568294,0.014839682,0.0024076484,-0.018141994,0.0018048729,0.0028238918,0.011951884,0.03849474,-0.031199256,-0.0122075025,-0.025851997,-0.008331777,0.007647825,-0.02335108,0.0111850295,0.0012236865,-0.012428579,-0.005271265,0.016691187,-0.0113232015,0.01470151,0.032276995,-0.010929411,-0.007122771,0.030922912,-0.020228392,0.022508232,0.028960869,0.01627667,-0.039627753,0.004380055,-0.02865689,-0.003716829,0.009533873,-0.022038447,-0.037914418,-0.010003658,0.0036546516,0.026874471,0.014577155,0.012649654,0.0035061166,0.01874995,-0.0028722521,-0.030757107,-0.020104038,0.025064416,-0.015945058,0.008642663,0.008048523,-0.023226727,0.007979438,-0.035095707,0.0046011303,0.030176783,-0.033713985,-0.03142033,0.0030536032,0.027040277,-0.02241151,0.008801561,-0.013140165,-0.0063179187,-0.017078068,0.01968952,-0.0015432095,0.0044215065,0.021361403,0.020546189,-0.008428496,0.002905068,-0.013568499,-0.025686191,-0.01405901,-0.00041149373,0.0006308419,-0.00692933,0.014964037,0.028601622,0.018128177,-0.03567603,-0.02746861,-0.013167799,-0.043634742,-0.015765434,-0.00012068468,0.0022245704,0.028131837,0.045652054,0.009526964,-0.010494169,-0.0014395803,-0.0031969566,-0.02009022,0.0060553914,0.014031375,-0.026335599,-0.006425002,-0.006462999,-0.025962535,-0.020601457,0.0033869434,0.0038239125,0.02509205,0.021900274,-0.027579147,-0.01984151,-0.0035959284,0.002516459,0.017603122,0.0030276957,3.1493517e-05,-0.039765924,0.0018601416,-0.0065251766,-0.018155811,-0.009022636,-0.00811761,-0.028090386,-0.004027716,4.6956917e-05,-0.013388875,0.0065562655,-0.01187589,-0.018832853,0.012110783,0.010383631,-0.0059310365,0.027579147,0.022218069,0.008988094,-0.006307556,-0.0010794693,-0.015143661,-0.021499574,-0.018003821,-0.007592556,0.015613446,-0.020919252,0.013437236,-0.04896819,0.0008657345,0.005423254,-0.021734467,-0.025603287,0.016331939,0.016746456,-0.011205755,-0.023475436,0.013202343,-0.024124844,-0.025022965,0.0058170445,0.006352462,-0.013734305,0.015268016,-0.005367985,-0.019717155,-0.012048605,0.01677409,-0.00037543944,-0.01177917,0.046149474,0.1952095,0.0039517214,0.0234478,0.016511563,-0.02499533,0.020698177,0.01009347,0.021651564,0.01346487,0.016497746,-0.029099042,0.009637502,-0.0028584348,0.0030812374,0.028573988,-0.014190273,-0.03843947,-0.03399033,-0.019952048,-0.0025354575,0.0023644697,-0.0066702575,-0.005595969,-0.019924413,0.003190048,0.0006373187,-0.02965173,-0.0033834889,0.015779251,0.023945222,-0.008269599,-0.0074267494,0.0036166543,-0.00017303893,0.00037803018,-0.00020445151,-0.007039868,0.007502744,0.041258182,-0.005426708,-0.023820866,-0.0075441957,-0.0051400014,0.00048964727,0.014881133,0.0033299474,0.008642663,-0.016884627,0.004062259,0.011599545,-0.015475273,-0.026639579,0.012836187,0.02821474,-0.0033057672,-0.00058377703,0.03153087,-0.005709961,1.0207732e-05,0.024732804,0.004887837,0.032442804,-0.00031131896,-0.022991834,0.0038964527,0.015406188,-0.021955542,-0.016760273,0.0066391686,-0.008027798,0.036173448,-0.019827694,-0.016290488,-0.006701346,-0.013616859,-0.013948472,0.028380547,0.025188772,0.01796237,0.0064733624,-0.0011148759,-0.0077790883,0.0055303373,-0.0036788317,-0.0019551348,-0.025976352,0.008545943,0.010604707,-0.0408713,0.0018463245,0.008621938,-0.017920919,0.001908502,0.0047842083,-0.0014404439,-0.0033869434,-0.0122075025,0.02147194,-0.01989678,-0.0014542611,-0.007813631,0.035261516,0.022687854,-0.00091452646,0.013036536,-0.015917424,0.0024853703,0.012394036,0.000398756,-0.021167962,-0.0031002362,-0.05319625,-0.003373126,-0.0105287125,-0.019371726,0.014273176,0.0153923705,-0.02965173,-0.007924168,0.009029545,-0.02018694,-0.029928073,-0.0020915798,0.006065754,-0.032691512,0.009526964,-0.022287156,0.007931077,-0.014646241,-0.01767221,0.025851997,0.0037686436,0.02231479,0.018349253,0.0048567485,-0.0075718304,-0.026515223,-0.021306135,-0.0036373802,0.0012798188,0.0015397551,-0.017768929,0.018128177,-0.0060692085,-0.007309303,0.0065528112,0.01821108,0.018280165,-0.016801724,-0.020863984,-0.008435405,-0.015627261,0.010618524,-0.027150815,0.039904095,-0.0018428701,0.009506239,-0.026294148,0.019468445,0.0023592883,-0.0043040602,0.028739793,0.01771366,-0.0004205613,-0.010128013,0.015475273,-0.17719187,0.007751454,0.016981348,-0.025561836,-0.01098468,-0.0040415335,-0.00096720457,-0.007848174,0.0071504056,-0.010369814,0.0059655793,0.02811802,-0.030010976,0.009665137,0.012863821,0.014964037,-0.00487402,0.020269843,0.036587965,0.0059413994,0.0155305425,-0.010611615,0.041921407,0.0009084815,0.023655059,0.0025717278,-0.024884792,0.05062625,-0.014231725,0.005709961,-0.0020622183,-0.01836307,0.032580975,-0.00016936874,-0.0019534077,-0.013347424,-0.015129844,-0.011896616,-0.013568499,0.019330274,0.01623522,0.011198847,-0.003944813,-0.0054750685,-0.0077929054,0.025962535,0.015613446,-0.0035890199,0.036394525,-0.0033524001,0.015820703,-0.035537858,0.00058636774,0.012698015,0.031282157,0.014286994,0.005412891,0.029209578,0.006390459,0.0008609848,-0.028380547,-0.009616776,0.011343927,0.003989719,-0.014425166,-0.021734467,-0.027855493,0.026045438,0.0046045845,0.021996995,-0.035897106,0.0072194915,-0.007634008,-0.013865569,0.028712159,-0.008096884,-0.022922747,0.0143560795,0.033658717,0.018183446,-0.01014183,0.052892275,0.00037587123,-0.006183201,-0.0062488327,0.005077824,-0.006563174,0.01731296,0.0050052833,-0.0118413465,0.006165929,-0.03285732,-0.00014562042,-0.029872805,0.018280165,0.03216646,0.013741214,0.006065754,0.024415005,-0.015641078,0.0012055513,0.033935063,-0.031724308,0.0003732805,0.029872805,0.014314628,-0.02202463,0.012449305,0.02628033,0.015558177,-0.00574105,-0.002791076,0.026694847,0.0076685506,-0.007661642,0.028684525,0.011419922,-0.007136588,-0.0010026111,0.012145326,0.013098714,0.005215996,0.0024007398,0.0019741335,0.00053325784,-0.014342262,-0.09517293,-0.013271429,0.03691958,-0.00039767654,-0.015074574,0.01177917,0.007799814,0.012594386,-0.012255864,0.025437482,-0.03224936,-0.018667048,0.00039486992,-0.010197099,0.032194093,0.020449467,-0.024580814,-0.005906856,0.04261227,0.025534201,-0.014190273,-0.03973829,0.013844843,-0.019634252,0.01642866,0.003796278,-0.005437071,0.022245705,0.019565167,0.022770759,0.016041778,-0.045237537,0.02965173,0.005157273,0.0062039266,-0.017105702,-0.013962289,-0.016705004,0.014867316,-0.030010976,-0.0030518756,-0.009423336,0.0092022605,-0.012269681,0.01034218,-0.032636244,-0.008076157,0.009229895,0.0022107533,-0.019523714,-0.006677166,-0.013278337,0.0021330314,0.009195352,0.0014318081,-0.00865648,0.02187264,0.0046702162,-0.017133338,0.012988176,0.023641242,0.0021796646,-0.025119685,0.015378553,0.013499413,0.025368394,-0.038826354,-0.0040518963,0.0123733105,0.0028584348,-0.04924453,0.030812375,-0.019205919,-0.0034145776,-0.01978624,0.00040674408,-0.017216241,-0.0073714806,0.030563666,0.0076201903,-0.01746495,-0.02330963,0.009457879,-0.015903605,0.013147074,-0.0014698055,0.0019136834,0.011012315,0.019551348,-0.04186614,0.037748612,0.031641405,0.032442804,-0.016967531,-0.0051918156,0.015723983,-0.0016269763,0.043026786,-0.033327106,-0.0096305935,-0.044574313,0.00014831909,-0.060298298,0.015212746,0.02093307,0.012318041,-0.002644268,-0.005202179,0.014031375,0.0007292895,-0.01781038,-0.0017547855,0.009775674,0.018639414,-0.022466779,-0.0011951885,-0.0075303786,-0.009720406,0.0035821113,0.0059448536,0.028877966,-0.0030397857,-0.014100461,0.015917424,0.024760438,-0.016815541,-0.01796237,-0.0011969156,0.0021917545,0.022135166,-0.0008048524,-0.0059690336,0.025934901,-0.0111850295,-0.015751617,0.01731296,-0.0038135496,-0.020173123,0.008497583,-0.0030346042,0.029817536,0.012186777,-0.0170228,-0.017838014,0.004424961,-0.016746456,-0.010998498,-0.00032772688,0.01167554,-0.0033817617,0.004241883,-0.011060675,0.024981514,0.014825865,-0.016290488,-0.014881133,-0.0029948798,-0.038577642,0.0049603777,0.021389037,0.021306135,-0.004393872,0.021347586,0.023295812,0.016553015,0.013229977,-0.002735807,-0.00065070414,0.0027409885,0.0041520707,0.008366319,-0.030370224,-0.03656033,-0.027399525,-0.0009767038,0.012981268,0.009347341,-0.027496245,-0.003338583,0.003167595,-0.00014281379,0.011868982,0.00011777011,-0.03305076,-0.048028614,0.048581302,0.0015587539,0.0029655183,-0.007675459,0.016939897,-0.01850124,0.01167554,-0.011696266,0.0005820499,0.011447556,0.007861991,-0.0340456,-0.00059586705,0.014397531,-0.008787744,0.006925876,0.032995492,0.008504491,0.0022055719,-0.0029551552,-0.023047103,-0.03108872,0.0009559781,-0.0047289394,-0.022978017,0.019261187,0.008456131,-0.008290324,-0.00989312,-0.019344091,0.0073714806,-0.010328363,-0.009803309,0.006197018,-0.013927747,-0.0077652712,0.005091641,0.011661723,0.011039949,-0.014286994,-0.00013050785,0.022107532,0.025686191,0.02965173,0.0015958876,0.006894787,-0.01192425,0.005595969,-0.0066702575,-0.018819036,-0.024788072,-0.021817371,0.0037202833,0.00040134674,0.0022176618,-0.026017804,0.09456497,0.010321454,-0.0053265337,0.0056166947,-0.011143578,0.011786078,-0.0031278706,0.008110701,-0.012428579,-0.027095547,0.03216646,-0.020394199,-0.010155648,-0.05350023,0.0057445043,0.0044353236,-0.03191775,0.008925916,-0.013748122,0.0099345725,0.002221116,-0.0017625577,0.019482262,0.010086562,-0.034266677,0.0020000408,0.007896534,-0.012152234,-0.0025941806,-0.0003916315,0.005865405,-0.020104038,-0.006915513,-0.02445646,0.0024283743,-0.0070951367,0.0049154717,-0.0064837253,0.032580975,0.015571994,0.0025009145,0.004096802,-0.015654895,-0.00871175,-0.01667737,0.01113667,0.008200512,-0.020117855,-0.0063317358]', 'plot a map of population by admin1 or admin2 for a country using HAPI data as an image', '{"mem_type": "recipe", "custom_id": "083b0a35-72c9-4670-bde1-1db31847a87b"}', '083b0a35-72c9-4670-bde1-1db31847a87b', '79880a35-bc74-4120-acfa-02a21251b21c'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.01794487,-0.015543894,-0.00884059,-0.013434365,-0.00018866055,0.004448052,-0.024537148,-0.021261826,-0.006980874,-0.020276455,-0.0013826432,0.028006766,0.029783212,0.00034197434,-0.0031573535,0.027756954,0.003927609,-0.016362725,0.023884859,-0.013080465,-0.04155216,0.0053085173,0.027854104,-0.007300079,-0.0043925378,-0.0013687648,0.025494762,-0.03727759,0.008993253,0.0014286158,0.014433616,-0.00674494,-0.0016532736,-0.018652674,-0.01558553,-0.014051958,-0.008778137,0.006085712,0.025272707,-0.005485468,-0.0008027832,-0.010346404,0.0047152126,-0.007154355,-0.014086654,0.0018735944,0.033336103,-0.020096034,-0.01850001,0.029033775,0.0014650468,0.03189274,-0.012976376,0.0071023107,0.020817716,0.018569402,0.011567711,-0.008125848,-0.0037957635,-0.01530796,0.004659699,0.002376689,-0.025758453,0.003490437,-0.034834977,-0.0357232,-0.015155297,0.0036257522,0.0078066434,0.01958253,0.038332354,0.046243086,-0.0051627937,0.004354372,0.009541453,0.009451243,-0.02213617,-0.008965496,0.005402197,-0.0022621918,0.02989424,-0.016376603,-0.0040074103,-0.004711743,0.023454627,-0.009707995,0.004430704,0.04310655,-0.01385072,-0.0063216463,0.028450878,0.009520635,0.026549527,0.004208648,-0.011373412,-0.0043092673,-0.013351095,0.024675932,0.012782077,-0.032392364,0.0039414875,-0.0073486534,-0.018749822,-0.009680238,-0.022483133,0.008035638,0.0049580857,-0.009347154,0.004430704,-0.023579532,-0.011408108,0.030088538,0.01385072,-0.038693193,0.011588529,-0.0295334,0.0036292218,-0.018611038,-0.00074163114,-0.010311709,0.001703583,0.020900987,0.0040594544,-0.00071083824,0.011824463,0.008937739,-0.017625665,-0.041718703,0.010943179,-0.0074666208,-0.0027808999,0.0077858255,0.011671799,0.0138715375,-0.023135422,0.04740888,-0.03427984,0.017750572,-0.015696557,-0.03600077,0.012185303,0.011595467,0.025564155,-0.014752821,-0.012435116,0.009256944,0.014544643,0.011859159,0.0031764365,-0.024453877,0.0070329183,-0.0123032695,0.009957807,0.003336039,-0.0013444774,0.02925583,-0.0055756783,0.016543144,0.0028607012,0.0100272,-0.009312458,0.006942708,0.017361974,0.025133923,0.0014303506,0.0315319,-0.006595746,-0.016723564,-0.01622394,0.018444495,0.011623224,0.008361782,-0.026743826,0.004399477,0.008708744,0.017556274,-0.014891606,0.010603157,-0.02560579,-0.018652674,-0.01484997,0.019624166,0.029228073,0.0034557409,-0.009132038,-0.005176672,0.018416738,-0.016237818,0.0062453146,-0.02588336,0.012372662,0.013052708,-0.0015986271,0.0025813968,-0.6395202,-0.032031525,-0.008250754,-0.0125461435,0.028312093,0.016543144,0.0120881535,0.014197682,-0.044771966,0.0169595,0.006699835,0.02789574,-0.013732753,-0.02370444,0.020290334,-0.016265575,-0.014405859,-0.022080656,-9.086065e-05,0.02625808,0.008007881,0.01056846,-0.00683515,0.016001884,0.009145916,-0.010693367,0.030366108,-0.0013401405,0.012053457,0.0357232,-0.011512197,0.0120257,0.006578398,-0.0024096505,0.038554408,-0.025133923,-0.020512389,0.009923111,0.04566019,0.044438884,-0.01777833,-0.01111666,0.018624917,0.012365723,-0.023190934,0.013142917,-0.011519136,0.00071213936,0.0011068085,-0.03600077,0.0046770466,-0.00033698676,-0.02459266,-0.0034939067,-0.0025536397,-0.01120687,-0.0016029641,0.0038929128,0.01530796,0.007799704,0.0062869503,0.0022344347,-0.018277954,-0.0012828917,-0.006280011,0.0043092673,-0.030366108,0.011054207,0.01648763,-0.013587029,-0.0066304426,0.015918612,-0.012108971,-0.006869846,0.013621725,0.008271572,0.023440748,-0.028645176,0.004513975,0.023135422,0.01558553,-0.020526268,-0.026646676,-0.0006553243,0.020817716,0.00428498,-0.03688899,-0.012726563,0.0004879152,0.016876228,-0.0066755475,0.013205371,0.0028607012,-0.04466094,-0.0169595,0.034529652,-0.021830844,0.016112912,0.01038804,-0.03125433,-0.01594637,0.0098467795,0.006633912,0.0053085173,0.0375274,0.02768756,-0.020706687,0.014391981,0.03563993,-0.033419374,-0.0023367885,-0.00847975,-0.031365357,-0.011671799,0.00993005,-0.037666187,0.03663918,-0.0027722258,-0.005769977,0.008993253,0.03536236,0.003426249,0.030865733,-0.011963247,-0.0031816408,0.012192242,0.01038804,-0.00025436646,-0.012095093,0.018291833,0.016279453,0.014405859,0.020970378,-0.025203314,0.016737442,0.019665802,0.0068039233,-0.0077788862,-0.025564155,-0.03511255,-0.015016512,0.010700306,0.006332055,-0.0028554967,0.017084405,-0.030754706,-0.007633162,0.013982565,0.006491658,0.0036986142,-0.021386733,-0.011213809,-0.0066547296,0.014974876,0.010852969,-0.0017764451,0.020706687,-0.013330277,0.020151548,-0.016501509,-0.013378852,-0.0031469446,-0.01730646,0.022497011,0.02305215,0.0037124925,-0.0056346618,0.04349515,0.010915422,-0.02414855,-0.0018978817,-0.010179863,-0.017930992,0.019082906,-0.005076053,0.014752821,-0.020803837,0.0014589749,0.0048227706,-0.03106003,0.03563993,0.014267074,-0.014433616,-0.04199627,0.027354479,0.008153605,0.0007620151,0.020151548,0.013066586,0.002250048,-0.029006017,0.031504143,-0.005950397,0.010013321,-0.006314707,0.0015422457,-0.012629414,0.0066235033,0.019610288,0.0115815895,0.028922746,0.002560579,-0.0001575424,0.0050448263,0.021941872,-0.03164293,0.013469062,-0.027104666,-0.011650981,0.031504143,0.019346597,-0.05212756,-0.0015092844,-0.01430871,-0.0033516523,0.0072029294,-0.008181362,-0.010408858,-0.028561905,-0.015266324,-0.008521385,-0.010901543,0.018819215,-0.008222997,0.00025588443,-0.005423015,-0.007279261,-0.0067761666,-0.005384849,-0.02342687,0.0001168828,-0.0036118736,-0.018569402,-0.00100272,0.01951314,0.009735752,0.024717567,-0.0044792783,0.02288561,0.016348846,-0.009902294,0.0040872116,0.00875038,-0.0037749459,-0.017334217,0.0026265017,0.017320339,0.008812833,-0.027396115,0.025675183,0.0011779357,0.019429868,0.006786575,0.0040490455,0.015807586,-0.019110663,0.006443083,0.013552333,0.03408554,0.032864235,0.027132422,-0.009666359,-0.0021216723,-0.008125848,-0.021442248,-0.015183054,-0.011699556,0.0037298407,-0.023621168,0.0021129982,-0.0044445824,-0.01139423,0.009707995,-0.012455933,0.012587778,-0.019207813,0.021830844,-0.009138977,0.018722065,0.005822021,-0.023648925,-0.016751321,0.030393865,0.0059816237,-0.0067900447,-0.038693193,-0.021470005,-0.0124975685,0.011345655,0.009888415,0.01448913,-0.008896104,0.025480883,-0.019402111,0.0005226114,0.018749822,0.022802338,-0.011283202,0.0070190397,0.0071682334,-0.008493628,0.0012820243,0.005086462,-0.03636161,0.044522155,-0.008701805,-0.0012134993,-0.018444495,0.0048956326,0.0025675183,0.007980124,-0.0231493,-0.024606539,0.007133537,-0.0019568652,-0.005658949,-0.012830652,0.020109912,0.037610672,0.00892386,0.004000471,-0.040247582,-0.03927609,0.01904127,0.045632433,0.025897238,0.016723564,-0.009735752,-0.008160545,0.003108779,-0.0147667,-0.009860658,0.013642543,0.02342687,0.003938018,0.0030098946,-0.0046458202,0.008993253,0.013982565,-0.019152299,-0.021109164,-0.03264218,0.022566404,0.005495877,-0.016626416,-0.0012525326,0.0016836327,0.01850001,0.013996444,-0.003297873,0.019221691,0.027104666,0.023635047,-0.015654922,-0.023565654,0.010589278,-0.015779829,0.008729562,-0.012462872,0.010034139,0.01065867,-0.006335525,0.008861408,0.0011692616,0.016543144,0.0111235995,0.0010053222,-0.005221777,0.0003840435,0.012108971,-0.015460623,0.015654922,-0.01831959,0.010353344,0.0018302242,-0.014190743,-0.004607654,0.016695809,-0.006626973,0.02196963,-0.0025519049,-0.0058254907,8.382654e-06,-0.018902486,-0.034335352,-0.011241566,0.04901878,-0.0218586,-0.026299713,-0.01576595,-0.04185749,-0.017597908,-0.010290891,0.010512946,-0.027354479,-0.021664303,-0.012095093,0.007827461,0.00014344708,0.011158296,0.011165235,-0.0039970013,0.00073512556,-0.0065922765,-0.024870232,0.0008465871,-0.0014988756,-0.011012572,-0.014600158,-0.015099783,-0.0051627937,-0.0036361609,-0.01339967,0.026716068,-0.0034678844,-0.03808254,0.011033389,-0.011602406,-0.016876228,-0.021733696,0.009819022,0.018888608,0.005176672,-0.0028502923,-0.0042676316,-0.016834592,-0.021816965,-0.021261826,0.021553274,0.006699835,-0.0028294744,-0.010346404,-0.019624166,-0.016848471,0.0042676316,-0.013982565,-0.03142087,-0.017264826,0.00094807346,-0.014239318,0.015058148,0.00956921,-0.010436615,0.008812833,0.0024374076,0.03425208,0.0008431175,0.0043092673,-0.017167676,0.005724872,0.000234633,-0.022441497,-0.02277458,-0.024814717,0.0048158313,0.011762009,-0.009270823,-0.022205563,-0.015849221,0.012761259,-0.020248698,0.006335525,-0.0051142187,-0.034224324,-0.027382236,0.016112912,0.0048609367,-0.0155577725,-0.008042578,-0.023024393,-0.010887666,-0.0016333233,0.009950868,0.014114412,-0.005395258,-0.0071890512,-0.012032639,-0.02223332,-0.015238568,-0.028367607,-0.011234627,0.025369857,0.005405667,0.025827846,0.021456126,0.019527018,0.039581418,-0.013469062,0.010429676,-0.0036153432,0.015793707,0.0071404763,-0.027743075,0.003899852,0.009319398,0.0074666208,-0.0023853632,-0.011415048,0.00091337727,2.9112274e-05,-0.009069584,-0.020193184,-0.0062487843,-0.024356727,-0.0004497494,0.012435116,-0.020734444,-0.008916922,-0.048685696,-0.024356727,0.060288105,0.0053362744,0.026577283,0.0030133643,0.008771198,0.008077274,0.0506842,0.018958,-0.011512197,0.020970378,0.0037506584,-0.029089287,0.0044654,0.026091537,-0.0044758087,0.029838726,-0.009194491,0.00015526546,0.008812833,0.01384378,0.0004057286,0.020984257,0.001062571,-2.481591e-05,-0.020623418,-0.04510505,-0.0054542413,-0.001977683,0.020609539,0.012317148,-0.008667109,0.009645541,-0.023301963,-0.012289392,0.0019169647,-0.009832901,0.0423016,-0.012185303,0.040330853,0.03297526,-0.004847058,-0.021900237,-0.012643293,-0.027645927,0.016459873,0.018097535,0.05656867,-0.025203314,-0.029394614,-0.011824463,0.0011102782,0.025286585,-0.03675021,0.0075776484,0.0065506413,0.019846221,-0.022261078,-0.015363474,-0.023801588,0.012095093,-0.011775888,-0.0004905174,0.014641793,-0.009805144,0.0016298536,0.015016512,-0.041246835,0.024814717,-0.01102645,-0.008847529,-0.0051905503,-0.0016957764,-0.02616093,0.018305711,0.00022075452,0.002680281,-0.0015066821,0.04080272,0.010707245,-0.015155297,0.009458182,-0.023898738,-0.012927801,0.025716817,-0.01702889,0.008410357,0.019346597,-0.01157465,0.010332526,0.0074319243,-0.015890855,-0.02033197,-0.0022899488,-0.0054160757,0.017195433,-0.0076886765,-0.0073486534,-0.009347154,0.007591527,0.0012698807,-0.028131673,0.0060753035,0.012865348,-0.009208369,-0.007945428,0.01604352,0.003906791,0.027576534,0.016099034,-0.009361032,-0.0007364267,0.020456875,-0.030643677,0.022122292,0.037305348,-0.00041071617,-0.026355227,-0.0038200507,-0.032225825,-0.0075013167,0.009145916,-0.030865733,-0.038804222,-0.028325971,-0.0060440768,0.018874729,0.018541645,0.015807586,-0.012948619,0.01859716,-0.011623224,-0.020637296,-0.0084242355,-0.00046362786,-0.03178171,-0.001180538,-0.006040607,-0.028589662,0.03491825,-0.019901736,-0.0007797969,0.010526825,-0.005232186,-0.009666359,-0.00075334107,0.014433616,0.0010807863,0.008903043,-0.021206314,-0.024190186,-0.015266324,0.027507141,-0.008084212,-0.012414298,0.026688311,0.022344347,-0.0013410079,0.015044269,-0.022163928,-0.022899488,-0.014086654,-0.00032766216,0.00077719474,0.0021025892,0.021331219,0.013406609,0.024620418,-0.025938874,-0.029200315,-0.015321839,-0.039387118,-0.024648175,-0.011949369,0.0006900205,0.015030391,0.01221306,-0.002862436,0.028312093,-0.007959306,0.012095093,-0.013233128,-9.819293e-06,0.0037229015,-0.021664303,0.035528902,-0.010852969,-0.0056624184,-0.015113661,0.009409607,0.016293332,0.019124541,0.04307879,-0.002616093,-0.009520635,-0.013253946,0.007411107,-0.0043925378,0.01768118,-0.012247756,-0.039054036,0.0050621745,0.006845559,0.00012609898,-0.018028142,-0.011331776,-0.020748323,-0.019457625,-0.025744574,-0.028367607,0.0084242355,-0.0019256386,-0.025314342,0.0068733157,-0.008216059,0.0030046902,0.04091375,0.029283587,-0.010526825,-0.015530015,0.011963247,-0.008257694,-0.020748323,-0.005086462,-0.015974127,0.028478635,-0.018611038,0.02432897,-0.012379602,0.013351095,-0.014600158,-0.001249063,-0.03161517,0.018527767,-0.0070953714,-0.016112912,0.0033290996,-0.0046874555,0.00033264974,0.00033807103,0.00094807346,0.017514639,-0.033336103,0.0059920326,-0.0049893125,0.0010018526,-0.002067893,0.0042953887,-0.015099783,-0.007508256,0.023399113,0.19374354,0.015599408,0.014433616,0.035390116,-0.0014503008,-0.0035320723,-0.0048088925,0.01648763,0.011470561,0.017903235,-0.010159045,0.022968879,-0.023066029,-0.00044758088,-0.00401088,-0.011227688,-0.039498147,-0.011879976,-0.018846972,0.010950118,0.048519157,0.01794487,-0.006325116,-0.016348846,0.008875286,-0.0025640486,-0.0056554796,0.00892386,0.025716817,0.009853719,-0.020040521,-0.018153047,-0.0057214024,0.015460623,-0.013281702,0.0019013514,-0.001977683,0.00023268134,0.023371356,0.0075429524,0.004354372,0.0019360476,0.012511447,-0.0071023107,0.019207813,0.0097010555,0.009728813,-0.026188686,0.0041947695,0.003209398,-0.018985756,-0.0028468226,0.008084212,0.02450939,-0.017903235,0.009742691,0.025813967,0.011054207,0.00455561,0.005686706,-0.0156688,0.024717567,0.005249534,-0.004135786,-0.006259193,0.0065402323,-0.03763843,-0.016876228,0.0077303117,0.0097496305,0.012310209,-0.009125099,-0.011130539,-0.013496819,-0.007827461,-0.012324087,0.0112693235,0.016376603,0.038665436,0.021525517,0.0013063117,-0.0016333233,-0.001557859,-0.005166263,-0.010922361,-0.024731446,0.017653422,0.00084051525,-0.02113692,-0.006963526,0.007681737,-0.01740361,-0.017473003,0.024106914,-0.023787709,-0.008937739,0.021539396,0.028395364,-0.011671799,0.0069288295,0.0055895564,0.020248698,-0.002022788,-0.0015465828,-0.0056797666,-0.01795875,-0.01275432,0.0076956153,0.013191492,-0.015738193,0.00793155,-0.030726949,0.0065922765,-0.011421987,-0.016876228,0.0050517656,0.0039241393,-0.028242702,-0.0120881535,0.010235377,-0.0048539974,-0.015002633,-0.0011562506,-0.00012360519,-0.028839475,-0.025147801,-0.008334026,-0.0014780578,-0.013496819,-0.021400612,0.009534514,-0.020165427,0.026369106,-0.010103531,0.018805336,0.021247948,-0.0047880746,-0.010283952,-0.00011319633,0.0048262402,-0.0131012825,-0.0010096593,0.009936989,0.0114775,0.020012764,-0.010540703,-0.0005724872,0.016196182,-0.01430871,-0.017792208,-0.00029405023,0.002341993,0.015543894,-0.021567153,0.028589662,-0.0060024415,-0.027451627,-0.02468981,0.033308346,-0.0028051871,0.0020991196,0.0142809525,0.020484632,-0.007119659,-0.013656422,0.0017937932,-0.17897683,0.009465122,0.020970378,-0.011234627,0.0019638045,0.0065020663,0.032031525,-0.0023836284,-0.012622475,-0.009874537,-0.019110663,0.006668608,-0.041885242,-0.00026564274,0.016348846,0.025730696,-0.011817523,0.01904127,0.013836842,0.0211508,0.025855603,0.013503758,0.018846972,-0.0020904455,0.010818273,0.018139169,-0.019485382,0.054070547,-0.0037298407,-0.0070919017,-0.0071682334,-0.005714463,0.027770832,-0.0074596815,-0.0010296095,-0.0211508,-0.020276455,-0.006134287,-0.019735195,0.029588914,0.015418988,-0.0013921848,0.017667301,0.0041704825,-0.00034089008,0.028672934,0.017001135,-0.015543894,0.0051246276,-0.02187248,0.017875478,-0.019901736,0.03891525,0.0034314534,0.020109912,0.023093786,0.004801953,0.02040136,-0.0008465871,-0.014079715,-0.011873038,-0.027104666,0.010728063,-0.021095285,-0.03619507,-0.0220529,-0.02023482,0.02067893,-0.014877727,0.014447494,-0.0074804993,-0.008646291,-0.0018753292,-0.018971877,0.010277012,0.008396478,-0.041246835,0.010360283,0.02770144,0.0070919017,-0.0030914308,0.050822984,-0.007882975,-0.00030510966,0.005849778,-0.011671799,0.012650232,-0.0011415047,0.005221777,-0.00084745453,0.0011944164,-0.0074666208,-0.003490437,-0.014391981,0.010034139,0.020789959,0.0024616949,-0.012775138,0.022760702,-0.00273406,0.012442054,0.005707524,-0.018624917,0.010547643,0.02013767,0.035667688,-0.014391981,0.022385983,0.049546164,0.009950868,-0.03633385,0.018153047,0.02351014,0.019374354,-0.0005573076,0.017653422,0.000974963,6.3266336e-05,-0.004042106,0.003681266,-0.009138977,-0.005731811,0.0011467092,-0.006005911,-0.02377383,-0.013115161,-0.09775999,-0.012809834,0.012719624,0.010485189,0.005329335,0.007265383,0.0015647983,-0.010214559,-0.0025623138,0.018971877,-0.036028527,-0.020179305,-0.0023454626,-0.005138506,0.032919746,0.01704277,-0.0029960163,0.0024478163,0.009819022,0.027673684,-0.008805893,-0.027298965,0.003591056,-0.017903235,0.013087404,0.0061099995,-0.03106003,0.027867982,0.028922746,0.018971877,0.0015882183,-0.02779859,0.036028527,-0.027743075,-0.018999634,-0.027257329,-0.0007897721,0.0005490672,-0.0041392557,-0.05196102,0.024009766,0.025106166,0.02441224,-0.019998886,0.024273457,-0.019332718,-0.009395729,0.024356727,-0.00875038,0.011317898,-0.012129789,-0.005433424,-0.014822214,-0.011560772,0.0133163985,-0.01239348,-0.017001135,0.00076635217,-0.03061592,-0.03308629,-0.01804202,0.001439892,-0.0421073,0.020734444,0.008160545,0.0118938545,-0.029228073,-0.0011579854,0.024023645,0.008701805,-0.047880746,0.0522941,-0.027479384,0.011081964,-0.022927243,0.012164485,-0.01093624,0.0019759482,0.02686873,-0.0006115204,-0.012150607,-0.04255141,0.0026195624,-0.010506007,0.0013939196,0.011081964,-0.011179113,0.0074041677,0.0024287335,-0.04466094,0.028645176,0.03516806,0.010943179,-0.00565201,0.0048609367,0.021567153,0.012879226,0.026854852,-0.011609346,0.013406609,-0.030005267,-0.014405859,-0.06855968,0.018361226,0.026840974,0.015044269,-0.012469811,0.00037038187,0.006023259,-0.0087850755,-0.01384378,-0.015460623,-0.02251089,0.013094343,-0.034751706,0.00031139833,-0.008868347,-0.03511255,0.025022894,0.00016936079,0.032364607,0.00011297948,0.0024859821,0.0030463256,0.025841724,0.026896488,-0.020429118,0.0123032695,0.0050899317,0.032198068,0.0053987275,-0.015682679,0.03983123,-0.0047707264,-0.0050968705,0.028894989,0.01977683,-0.014752821,-0.026341349,0.005367501,0.038665436,-2.9274912e-05,-0.020429118,-0.015807586,-0.0017660361,-0.009222248,-0.015932491,-0.0010244051,0.006207149,-0.0097010555,0.025744574,-0.012157545,0.019998886,0.014780578,-0.008306269,-0.006807393,0.0021945343,-0.03033835,0.002140755,0.009590028,0.015002633,-0.006491658,0.008000942,0.018430617,0.019166177,-0.024731446,-0.01330252,-0.022261078,0.0010035874,-0.0037992331,0.010346404,-0.011033389,-0.01784772,0.00022964542,0.0049164505,0.009055707,0.016390482,-0.013378852,0.0100618955,-0.005620783,-0.005395258,-0.019207813,0.0014919363,-0.007182112,-0.02679934,0.03838787,0.008611595,0.023482382,-0.009888415,0.0009983829,-0.015474502,0.007053736,-0.025869481,-0.002732325,-0.0022274957,0.010339465,-0.0042155874,0.014038079,0.005860187,-0.03261442,0.013240067,0.019638045,0.01084603,0.0034696192,-0.018916365,-0.041579917,-0.012698807,0.00019841886,-0.010748881,-0.01886085,0.008757319,0.0066928957,-0.0027271206,-0.024190186,-0.016459873,0.008694866,-0.03264218,0.01348988,-0.007223747,-0.0180559,-0.018444495,0.039220575,0.021803087,0.013226189,-0.0013921848,0.0025414962,0.01931884,6.834201e-06,0.022039022,-0.0015205606,0.012400419,-0.009215308,-0.009187552,-0.0032510331,0.009201431,-0.026133172,-0.009825962,-0.00058723305,-0.025744574,0.015530015,-0.0057630376,0.10214559,-0.010762759,-0.0033742047,0.00017077032,-0.010880726,0.024717567,-0.008334026,0.0049684946,-0.009069584,-0.021234069,0.021886358,-0.0038235204,-0.0074319243,-0.028756205,-0.0044029467,0.015044269,-0.009819022,0.0030220384,-0.013149857,0.0031851104,-0.008847529,-0.00035129895,0.020345848,0.00033893844,-0.0076401015,-0.0057005845,0.013732753,-0.016085155,-0.021775331,-0.033447128,-0.012747381,0.014211561,0.0034887022,-0.025800088,-0.0036569787,-0.011498318,-0.022219442,0.008646291,-9.313759e-05,0.016196182,-0.014433616,0.027548777,-0.019749073,0.003408901,-0.0335304,0.0031486794,0.008896104,-0.009909232,-0.0077233724]', 'plot a line chart of commodity prices monthly relative change for a country from 2008-01-01 using HDX data as an image', '{"mem_type": "recipe", "custom_id": "dd0ddd95-a60d-4670-b250-d479314f6094"}', 'dd0ddd95-a60d-4670-b250-d479314f6094', '153080c7-db16-432f-95e7-c71c669ee16a'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[0.0055742874,-0.002567106,0.0011944901,-0.023023622,-0.0020990893,0.0160383,-0.02989718,0.018930225,-0.018776547,-0.031070713,0.00016983064,-0.0011159052,0.008375402,-0.015786828,0.0021514792,0.018091986,0.005871163,-0.020187581,0.010820264,0.020522878,-0.021696411,0.016541244,0.0123081375,0.013062553,0.0066919387,0.023540536,0.0037092061,-0.036267795,-0.006360136,0.013293068,0.018483164,-0.024965541,0.0026736322,-0.009800407,-0.0012102071,-0.01039416,-0.0026544225,-0.021109644,0.020900084,-0.025272897,0.014990501,0.006471901,0.00064614235,-0.009136802,-0.0021671962,0.028891293,-0.0065627103,0.005424103,-0.027340552,0.016541244,0.012384976,0.034144256,-0.010624675,-0.011441958,0.012657404,-0.0071005803,-0.0026544225,-0.0051272265,-0.0072507644,-0.019628756,0.025887605,0.0055428534,-0.032858957,0.023596419,-0.00093952584,-0.0127482135,-0.0038698686,-0.009912172,0.027172903,0.0017733987,0.022450825,0.036686912,-0.025510397,-0.0015446293,0.01990817,0.010897103,-0.008934228,0.004547445,-0.002645691,0.0063636284,0.015675064,-0.02534275,-0.0032813551,-0.0028936698,0.0022056156,0.0087595945,-0.0044112313,0.027005255,0.003751118,0.0047360486,0.034898672,0.008214739,0.007215838,0.0011979828,-0.009066949,0.004453143,-0.015940506,0.033222195,0.008577976,-0.03246778,-0.025468485,0.004966564,-0.012978729,-0.014766972,-0.028695704,-0.016988304,0.0032778624,0.007369515,0.021151556,0.026572166,-0.015689034,0.0027172903,0.0060562743,-0.033976607,-0.0007496124,-0.00951401,-0.013809982,0.0013464208,0.0006771397,-0.035708968,0.0234148,0.039117806,0.011106662,-0.010918058,0.019740522,-0.00043199852,-0.026697902,-0.046913426,-0.011414017,-0.006761792,0.004568401,-0.015842712,-0.01818978,0.017169923,-0.008787536,0.006866572,0.008487167,-0.015940506,-0.019964052,-0.025440544,-0.006307746,0.015116237,0.028514085,-0.02059273,0.012405932,0.03056777,0.031042771,0.009919158,-0.012461815,-0.004652225,0.0029879715,-0.0035834704,0.011972843,0.017155953,-0.0012494995,0.008326504,0.012042696,0.008864374,-0.0030543322,-0.02905894,-0.012615492,-0.0012975236,-0.01798022,-0.0071459846,0.012922846,0.026083194,0.011218428,-0.01645742,0.006677968,-0.0013813475,-0.010359233,0.012929832,-0.018986106,-0.009639745,0.019572873,0.0034891684,0.021850089,0.03243984,-0.014361822,-0.021724353,0.003597441,0.017379483,0.013523584,-0.007816576,-0.014194175,-0.019824345,0.023037594,-0.0068246596,0.022925828,-0.012915861,0.023344947,-0.00015913438,-0.009569892,0.0064753937,-0.6281202,-0.031545717,0.010401145,-0.02989718,0.011022839,-0.0020711483,0.010142688,-0.005011969,-0.013397848,0.037385445,0.017826542,0.032775134,-4.5486453e-05,-0.032635428,-0.017449336,-0.018105956,0.007432383,-0.0027085587,0.013062553,-0.01333498,-0.023694213,0.003586963,0.0071494775,-0.003813986,0.008487167,0.019782433,0.027298639,-0.019000078,-0.008955183,0.00082208513,-0.0029862253,0.012580565,-0.009807393,0.015898595,0.045656066,-0.006471901,-0.022632444,0.011979828,0.011560708,0.021864058,-0.01971258,-0.014641236,0.029086882,0.0046103126,0.005546346,0.025761869,0.0047954237,-0.025272897,-0.007027234,-0.021961853,-0.0076349573,-0.006524291,-0.029170705,0.007215838,0.025608191,0.007537163,-0.0086618,-0.013642334,0.011225413,-0.008815477,0.00065793004,-0.0066395486,-0.024588335,-0.009919158,-0.013579466,0.026809666,-0.0004754385,0.0013979377,0.016415508,-0.027438346,-0.01754713,0.019880228,-0.00076009036,-0.016653009,0.029366294,0.0145155,0.0160383,-0.011330193,-0.017589042,0.017603012,-0.007837532,-0.006237893,-0.004082921,-0.014725059,-0.0039502,0.010079821,-0.016080212,-0.015018443,9.948627e-05,0.023303036,0.027885407,0.0018825444,0.01257358,0.009618789,0.0061505763,0.010652617,0.0023645316,-0.021207439,0.018329486,-0.013083508,-0.007432383,-0.0053158305,-0.0057873395,-0.010519896,0.03227219,0.00780959,-0.015647123,0.012545639,0.039732512,-0.014319911,-0.0014992248,-0.023652302,-0.028779527,-0.00032088824,0.005382191,-0.03123836,0.023945685,-0.011784239,-0.009807393,-0.0077537075,0.010659602,0.008116945,0.030400122,-0.0048897257,0.026055252,0.023708183,0.020061847,-0.009185699,-0.016890509,-0.001342055,-0.008033121,-0.007614001,0.038028095,-0.014780941,0.036435444,0.020941997,0.0070342193,-0.0155353565,-0.015493444,-0.012028725,-0.032300133,-0.01844125,0.015870653,-0.034563377,-0.011896004,-0.030819241,-0.01839934,0.006527784,0.0014162741,-0.008529079,0.0013813475,-0.017183894,0.012126519,0.011979828,0.017058158,-0.0054799854,0.020243464,-0.01645742,0.005874656,-0.028262613,0.0025845694,0.01844125,-0.0049036965,-0.01473903,0.027717758,-0.008214739,0.0055114194,0.00878055,0.01774272,-0.019181695,0.015758887,-0.01844125,-0.019139783,0.022716269,0.004743034,0.014117336,-0.003365179,-0.013628364,0.0026247348,0.0005435454,0.02166847,0.026362605,-0.0016555213,-0.0009840573,0.03657515,-0.0052843965,0.0038209714,0.001954144,0.008731653,0.018944195,-0.0060877083,0.013223215,0.023973627,0.0018458714,0.0140125565,0.015241973,0.0024046972,0.0095838625,0.013921747,0.00595848,0.05205462,0.035792794,0.0074184122,-0.009018051,0.018008161,-0.017519189,0.0050923,-0.029561883,0.0015673317,0.0054380735,0.03752515,-0.023931714,0.007142492,-0.003978141,-0.0055288826,0.031713363,-0.010603719,-0.004404246,-0.013782041,0.0025059844,-0.0020222508,-0.001711404,0.022269208,0.005948002,-0.008969154,-0.04076634,0.010547837,0.037944272,0.004725571,-0.0069503956,-0.01820375,0.014347852,-0.004648732,0.010952986,0.02689349,-0.00031346636,-0.0015778097,-0.015479474,0.03319425,0.016834628,0.009723569,0.002256259,0.030483946,-0.013796011,0.023959655,-0.006730358,0.02229715,0.031489834,-0.028067024,0.012825051,-0.022730239,-0.011427987,-0.021864058,0.023512594,0.003386135,-0.013600422,0.0049036965,0.025217013,0.024769953,0.027005255,0.018119926,-0.003476944,0.021277292,-0.017910367,-0.012510712,-0.010708499,-0.009297464,0.005843222,-0.023945685,-0.010631661,-0.0077676782,0.020075817,-0.01061769,-0.01841331,0.0015341514,-0.024755983,-0.011281296,-0.0009753256,-0.002387234,0.009192685,-0.022576561,-0.016387567,0.008102974,0.019153753,0.0025007455,-0.0016013852,0.0014049229,0.024225097,-0.0481149,0.0019314416,-0.001468664,0.0036638016,-0.0029512986,-0.010352247,0.004208657,0.0039362293,0.021542734,-0.007844517,-0.016136095,0.0173236,-0.0003248175,-0.002609018,-0.01686257,-0.013970644,0.045013417,-0.0052075577,0.0067478213,-0.02558025,-0.0119868135,-0.012510712,0.0071180435,-0.0028552506,0.01647139,0.030819241,0.0028552506,0.00083081675,-0.026292752,0.005071344,0.045013417,0.0011482124,-0.0048617846,-0.05621787,-0.025454514,0.016513303,0.039788395,-0.00011061913,-0.0022649907,0.0009334137,-0.013118436,-0.01397763,0.0012660897,-0.015926536,0.02252068,-0.0056196917,-0.0043064514,-0.005975943,0.030260416,-0.007823561,0.026642019,0.0049630716,-0.00557778,-0.013369907,0.00834746,-0.0057244715,0.0005046896,-0.016513303,0.0073625296,0.026837608,0.01863684,0.0088853305,0.028290555,0.029142763,0.03056777,-0.007970253,-0.005895612,0.013963659,0.0031206927,0.026153047,-0.0058537,0.018818459,0.020522878,0.012168432,0.006482379,0.0102195265,0.009039007,0.00036105386,0.0026037788,-0.026474372,0.025510397,-0.0048617846,0.015116237,0.028947175,-0.02078832,0.012566594,0.01302064,-0.010247468,-0.0145853525,-0.009004081,-0.0037092061,0.009989011,0.008410328,-0.015675064,0.010023938,-0.060409065,-0.030735418,-0.011106662,0.010429086,-0.024616275,-0.032998662,-0.022269208,-0.032803074,-0.017169923,-0.015647123,-0.01061769,0.003391374,-0.03615603,-0.022269208,0.033669256,0.027787613,0.006545247,0.006761792,0.005123734,0.006618593,-0.017686836,-0.012587551,-0.012957773,0.009947099,-0.021039791,-0.0036847575,0.00025147162,-0.016625067,-0.015465504,-0.0173236,-0.0039711557,-0.008256651,-0.016010359,0.010086806,0.020341258,0.018119926,0.015367709,0.023261124,0.005553331,-0.0006561837,-0.010240483,0.024211127,-0.019740522,-0.022897886,0.003719684,0.0065941443,0.0070342193,-0.01397763,-0.0005068725,-0.018022131,-0.022632444,0.052948743,-0.027885407,0.004620791,-0.0060632597,0.011015853,0.022143472,-0.002699827,-0.004617298,-0.008221725,-0.02404348,-0.020005964,0.0056755743,0.013153362,0.009416215,-0.05141197,0.008941213,-0.021919942,0.001209334,-0.028695704,-0.015074326,-0.020215522,0.0065627103,-0.005490463,-0.01842728,-0.009018051,0.01387285,-0.017700808,0.020103758,-0.017183894,-0.01623389,0.0033162818,-0.021794206,0.0037755666,-0.0118610775,0.016527273,-0.01990817,-0.0055009415,0.022157442,-0.0006522545,-0.0010102523,0.0026369593,-0.014068439,-0.005483478,0.0017367258,-0.042386938,-0.023386858,-0.02102582,-0.010205556,0.021067733,0.024127303,0.044957533,0.021291263,0.002567106,0.025258925,-0.0075301775,0.011246369,0.014697118,-0.021221409,0.003485676,-0.013467701,0.0131952735,0.0077676782,-0.017826542,-0.0043309,0.006084216,-0.013642334,0.012238285,-0.027885407,-0.011407032,-0.021193469,-0.023330977,-0.031881012,-0.011511811,0.0058816415,-0.033222195,-0.00162758,0.020411111,-0.008487167,0.008089003,-0.014152263,0.018888311,-0.005431088,0.025482455,0.0027399927,-0.00985629,-0.035233967,0.008172828,-0.031461895,0.014333881,0.015898595,0.013376893,0.014850795,0.005410132,0.0054485514,-0.009185699,0.0201317,0.0027434854,-0.0043064514,-0.0048513063,-0.021067733,0.013321009,-0.02817879,-0.027298639,-0.007020249,-0.015088296,-0.016499331,-0.0128110815,0.013383877,-0.030232474,0.0006387204,0.014445647,-0.005214543,0.02471407,0.010764382,0.020005964,-0.0042016716,-0.010107761,-0.007816576,-0.013397848,-0.019111842,-0.00084435084,0.039061923,0.029170705,-0.028807469,-0.03660309,0.010198571,0.0064858715,0.018119926,-0.050992854,0.022604503,0.0059200604,0.006988815,-0.02038317,0.010554822,-0.035848673,0.0017821303,0.001188378,0.004599835,0.0064439597,-0.007278706,-0.022632444,0.009360332,-0.031154538,0.007090102,-0.0033058038,-0.007858488,0.00780959,-0.023372889,0.013341965,0.013076523,-0.029925121,0.00071686873,0.01278314,0.0023103955,-0.0040619653,0.0019751,0.0020833726,0.011218428,-0.00022855101,0.039760455,-0.01686257,-0.04101781,0.018944195,0.01838537,0.018217722,-0.011525782,-0.00029338355,0.0043483633,-0.00822871,0.0022300642,0.021179497,-0.026711872,0.00079894625,-0.030511888,-0.015060355,-0.011763283,-0.034814846,0.008319519,-0.01193093,-0.0025059844,-0.018050073,0.034507494,0.014389764,0.00843827,0.015605209,-0.016499331,0.0029181184,0.016136095,-0.008340475,0.0024291459,0.015214032,0.0206067,-0.019670667,-0.008864374,-0.028891293,-0.0054345806,0.03705015,-0.013649319,-0.025831722,-0.0028063531,0.0052075577,0.027773641,0.011393061,0.0044286945,-0.0012084608,0.027787613,0.0023208733,-0.015102266,0.01027541,0.04406341,-0.02035523,0.0070027853,0.02231112,-0.026264811,0.039369278,-0.029310413,0.009849304,0.014766972,-0.024560394,-0.02254862,-0.0019978022,0.03227219,-0.051914915,0.010359233,-0.0022387959,0.005050388,-0.006618593,0.0067373435,0.015507415,0.0038070006,-0.0117982095,0.018986106,0.021500822,0.008221725,0.0069329324,-0.0018580958,-0.008389372,-0.0028500115,-0.025007455,0.01669492,-0.009388274,0.021961853,0.022059647,-0.038083978,-0.030875124,-0.014697118,-0.025244955,-0.0016555213,-0.011679459,0.015507415,0.004009575,0.009255553,0.0028430263,0.0025496427,0.002705066,0.010904089,-0.017225806,-0.009800407,0.01774272,-0.038391333,-0.016429478,-0.009842319,-0.020103758,0.0035485437,0.016191978,0.019055959,-0.003248175,0.011414017,-0.008745624,-0.016122125,0.009758496,-0.010806294,-0.036519267,0.00013184796,0.023931714,-0.043281056,0.011896004,0.018161839,-0.009968055,-0.009604818,-0.013153362,-0.010911074,0.013844908,-0.008242681,0.0028849381,-0.008047092,0.0035415583,-0.025175102,0.021752294,-0.0018039595,-0.012671375,0.04808696,0.0077676782,0.008012165,-0.007921356,0.013467701,-0.029282471,-0.01027541,0.012482771,-0.012657404,0.0024675652,-0.017044187,-0.030679535,-0.023330977,-0.025510397,-0.009465112,-0.02753614,-0.018371398,0.015898595,-0.0018353934,-0.017589042,0.00024797895,0.005811788,-0.012098578,-0.021682441,-0.0023435757,-0.013642334,-0.018105956,0.003180068,-0.014243072,-0.02644643,-0.010897103,0.0013472941,0.0032883405,0.004505533,0.024015538,0.21470086,-0.0027260222,0.021319203,0.039089866,-0.008375402,0.020941997,0.0031154538,0.0035904555,0.011204457,-0.016164036,-0.025244955,0.0023994583,-0.0010975688,0.006726865,0.0045404597,-0.03308249,-0.0231773,-0.02144494,-0.02665599,0.030511888,-0.006307746,-0.01158865,-0.0101846,0.005553331,0.020033905,0.0047779605,-0.007474295,0.01602433,0.017267717,0.015353738,-0.0110996775,0.014180204,0.0024710577,-0.010568793,-0.01278314,-0.015004472,-0.00040078285,-0.024811864,0.012734243,-0.009779451,-0.02755011,-0.0004003463,0.0067757624,-0.009402244,0.0066744755,0.00032307117,-0.0013586452,0.007194882,0.00050294324,0.003469959,-0.031070713,-0.031070713,0.023317005,0.024225097,-0.00639157,0.012322108,0.018175809,0.02861188,-0.025300838,0.019810375,0.018986106,0.03548544,-0.004247076,-0.010610704,-0.018734634,0.016066242,-0.014766972,-0.0035572753,0.006346165,-0.028290555,0.035206024,0.0034437638,-0.010177615,0.0013769816,-0.039089866,-0.02838835,0.03925751,0.03707809,0.011309237,0.034982495,0.008382387,-0.006318224,0.007886429,0.014780941,-0.0077886344,-0.0020187583,0.0160383,0.012405932,-0.046075188,0.0048513063,0.005431088,-0.00056188187,-0.018231692,-0.01902802,-0.00278889,0.008221725,-0.0072996616,0.0052005723,-0.0060772304,-0.015898595,-0.00810996,0.080750324,0.026167016,-0.015297855,-0.025524369,-0.0031381561,0.011071736,-0.0013874597,0.0010486715,-0.01345373,-0.0070656533,-0.04727666,-0.0014765225,-0.011001883,0.020215522,0.011567694,-0.014284984,-0.02144494,-0.0036044263,0.015605209,-0.005403147,-0.040961932,0.0046661953,0.01993611,-0.02101185,0.004802409,-0.018497134,-0.011337178,-0.019153753,-0.00954195,0.015423591,-0.009283493,0.015884623,-0.012866964,-0.017128011,0.008089003,-0.01992214,-0.0095838625,-0.0085081225,0.014990501,0.0015647121,-0.0014564397,-0.00017397819,-0.0070097707,0.010324307,0.011295266,0.0092695225,0.010422101,-0.0036358603,-0.027130991,-0.010778353,-0.016331684,-0.007893414,-0.0061680395,0.05401051,-0.0035677534,0.001964622,-0.023051564,0.014808883,0.029003058,-0.01774272,0.019600814,0.0141382925,0.01950302,-0.018371398,0.012664389,-0.18038896,0.018525075,0.047584016,-0.020243464,0.01990817,0.006524291,0.007607016,-0.00930445,0.0010739934,-0.011211443,0.021892,0.020047875,-0.0316016,-0.011218428,0.0006666617,-0.0126853455,-0.020397142,0.035038378,0.028500115,0.007460324,0.013265127,-0.012790125,0.01105078,-0.009437171,0.008312534,0.029813355,-0.019586844,0.020005964,0.0022545129,-0.034088373,-0.021263322,0.0038209714,0.02580378,0.00041890104,-0.006541754,0.0057139937,-0.012922846,-0.0061820103,-0.0086967265,0.023009652,0.009262538,-0.0015507415,0.0017917352,0.0062344,0.020173611,0.0050957925,-0.008612903,-0.010366218,0.030875124,0.0010801055,0.009527979,-0.007893414,0.010100776,0.007439368,-0.014543441,0.011316222,-0.00044924353,0.015465504,0.0013534062,0.0145155,-0.017826542,-0.015549327,0.0016345654,-0.009793422,-0.011344164,-0.030735418,-0.0054974486,0.013202259,-0.03140601,0.007998195,-0.0064299894,-0.0012145729,-0.026167016,-0.033054546,0.022786122,0.00023662779,-0.0041492814,0.024253039,0.023778036,0.01796625,-0.0129927,0.021375086,-0.02166847,0.0009037261,-0.019097872,0.016708892,-0.034256022,0.029673649,-0.002249274,-0.024616275,0.004103877,-0.0368825,0.013027626,-0.010072835,0.014347852,0.029086882,-0.022059647,0.006636056,0.001093203,-0.021109644,0.009695628,0.031378068,-0.021612588,0.023107447,0.020005964,0.022045678,-0.032328073,-0.0047465265,0.023708183,-0.0024570872,-0.020299347,0.007865474,0.0229398,0.0063321944,-0.010966956,0.028695704,-0.006831645,-0.0173236,-0.009262538,0.013509613,0.039592806,0.0044775917,-0.014766972,-0.0043239146,0.009416215,-0.010848206,-0.09131213,0.0077746636,0.010191585,0.011784239,-0.006147084,0.0043763043,0.0039851265,0.013314025,-0.032579545,0.030819241,0.0047500194,-0.038251627,-0.0024291459,-0.0013490404,0.049763437,-0.013907776,-0.00078803167,-0.026404519,0.023303036,0.035541322,-0.018064044,-0.016373595,0.009995996,-0.00628679,0.0060178554,-0.009681657,-0.0077117956,0.0046766736,0.009101875,0.017728748,-0.005350757,-0.031713363,0.0037476253,0.00287446,-0.0038209714,0.0052494695,-0.038642805,-0.0040794285,0.02253465,-0.012035711,-0.007432383,-0.015437562,0.023805978,-0.0047884383,-0.0071878964,-0.039341334,0.0026282275,0.007593045,0.009241582,-0.02210156,-0.032411896,-0.012266226,0.005225021,-0.0076838546,0.0011482124,-0.010918058,0.02843026,0.011295266,-0.01072247,0.010030923,0.0056860526,0.00039925482,-0.029114824,0.03372514,0.046410482,0.010673572,-0.042833995,-0.008033121,0.02211553,-0.0074184122,-0.036658973,0.020955967,-0.029282471,0.013963659,-0.035848673,-0.004362334,-0.002746978,0.0016485361,0.006608115,0.005403147,-0.00909489,-0.028863352,0.004694137,0.0048513063,-0.006175025,0.012978729,-0.005885134,-0.011113648,0.0043483633,-0.009185699,0.02859791,0.0074184122,0.018580958,0.009192685,0.012832037,0.012580565,-0.022227297,0.0029932107,-0.023219211,0.0033983593,-0.031685423,0.0037965225,-0.08432681,0.030204533,0.019698609,-0.017616984,0.0003547234,-0.030316299,0.0007072639,-0.012405932,0.0040060827,0.0050923,-0.025272897,0.0129927,-0.036658973,0.0040270383,-0.023736125,-0.006604622,0.017882425,0.014194175,0.024993483,0.004875755,-0.0008238314,0.007180911,0.020872144,-0.013083508,-0.023442741,0.0018842907,0.007928341,0.003174829,-0.015898595,-0.0026561688,0.028975116,-0.009730554,-0.022604503,0.008047092,-0.0076419427,-0.024951572,0.000434618,0.021081703,0.05157962,0.0137610845,-0.00021698157,-0.028220702,-3.4080735e-05,-0.037357505,-0.020159641,-0.008815477,0.021626558,-0.010568793,-0.00985629,-0.011833136,0.038223684,0.035625145,-0.0173236,-0.013118436,-0.016736833,-0.024755983,0.0064579304,0.020397142,0.017770661,-0.014655206,0.04311341,0.025189072,0.019363314,0.012238285,0.0007369515,0.0118610775,-0.011197472,0.005871163,0.0011063005,-0.038866334,-0.008529079,-0.003422808,-0.0033250134,0.02620893,-0.00443568,-0.035681028,0.008745624,0.033697195,-0.013991601,0.003981634,-0.0020886115,-0.011595635,-0.03252366,0.029310413,0.020229494,0.0028779528,-0.016317714,0.03053983,-0.031657483,0.0023261125,-0.023792008,0.0019751,0.013607408,-0.008424299,-0.008808492,0.002011773,0.007865474,0.0105967345,0.03836339,0.018594928,0.0050399103,-0.0045509376,-0.008005179,-0.030986888,-0.0149625605,-0.0060737375,0.005071344,-0.022269208,-0.009702613,0.0055742874,-0.006534769,0.0053961617,-0.0008915017,-0.0024501018,-0.018357428,0.00996107,-0.00514469,-0.009409229,-0.0206067,0.034731023,0.009611804,0.031126596,-0.015926536,-0.0125596095,0.022618474,0.022618474,0.03252366,-0.019586844,0.010163644,0.007816576,0.0040794285,0.004784946,-0.018022131,-0.019014047,-0.012825051,-0.0067932256,0.0011927438,0.009982026,0.0095838625,0.1100328,-0.0043064514,-0.017002275,0.0060667526,0.01862287,0.003978141,0.009870261,0.013656305,-0.009143787,-0.04294576,0.010841221,-0.016764775,-0.018175809,-0.03702221,0.0030997368,0.0031154538,-0.018734634,0.0017690329,-0.009576877,0.010477983,0.015130208,-0.009940114,0.011958872,0.0024204142,-0.01418719,0.0032289652,0.015786828,0.0019628757,-0.0014800151,-0.030428063,0.006559218,-0.011400046,-0.02841629,-0.0024326385,3.9865452e-05,-0.0036568162,-0.0025164625,-0.015940506,0.045013417,0.00405498,-0.012238285,0.012070637,-0.010568793,-0.014180204,0.0010495447,-0.0022597518,-0.0047989166,-0.02101185,-0.008186798]', 'List organizations in top 3 states by population in provided IPC Phase in a country, using HAPI data', '{"mem_type": "recipe", "custom_id": "1cd0ae66-0095-40de-b94b-30ae30d933ac"}', '1cd0ae66-0095-40de-b94b-30ae30d933ac', 'e7305641-3539-4c4f-88e0-81b9a5748abb'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.016531734,-0.0153025575,-0.014750119,-0.013182574,0.011186888,0.022884782,-0.0045679794,-0.0015545976,-0.012754434,-0.02740097,-0.0074579255,0.013845501,0.00514804,-0.009280974,-0.013327589,-0.0055865385,0.008576614,-0.024445422,0.008990943,-0.031875726,-0.035383713,0.010959007,0.01874149,-0.009508855,0.0033025488,3.4473484e-05,0.024514478,-0.029472616,0.012740622,0.00393958,0.012077696,-0.015205882,0.0042710435,-0.032870114,0.0021700491,-0.0022321986,0.0014389307,0.012747528,0.015178259,-0.00049676344,0.0023634026,-0.0077617667,5.5621535e-05,-0.0047855023,0.0012895996,0.029168775,0.016725088,-0.009619342,-0.020412618,0.035577066,0.0057729864,0.02343722,-0.028340116,0.0017065183,0.015854998,0.01562021,-0.010558489,-0.019418228,0.01086233,-0.03394737,0.015675453,0.005565822,-0.027994841,-0.0020474768,-0.017719477,-0.04618389,-0.0122986715,0.01689082,0.026309904,0.0020388449,0.02952786,0.034610298,-0.00902547,0.0038083757,0.037262004,0.0058420417,-0.013120424,-0.002447995,0.006643078,-0.0094398,0.033974994,-0.029610725,-0.015661644,0.009308596,0.008293489,-0.012250333,0.0034665542,0.023326734,-0.015205882,0.0029348317,0.013562376,0.010606827,0.030798469,0.008769968,-0.0022408303,-0.0058420417,0.015095393,0.023492465,0.03930603,-0.03206908,-0.023672007,0.005417354,-0.01249893,-0.007002163,-0.02412777,-0.0073612486,0.007485547,0.008245151,0.0113111865,-0.017526124,-0.0352456,0.036295235,-0.013541659,-0.035411336,0.004599054,-0.020454051,0.026019873,0.0008256372,-0.010889952,-0.012554174,0.011228321,0.017760912,-0.0062183905,-0.018755302,0.02682091,0.027387159,-0.005448429,-0.02385155,-0.009218824,-0.013106613,0.000501511,0.013479509,0.009778169,-0.022525696,-0.01363143,0.029831702,-0.018838167,0.019708259,-0.00801727,-0.04112908,0.012319388,0.02398966,0.026199415,-0.011525257,-0.020053532,0.013645241,0.007520075,0.021959446,-0.0057902504,-0.009702208,0.015123015,-0.009971523,-0.008528275,-0.02922402,-0.010130349,0.012574891,-0.023644386,0.0071609896,-0.0050617214,-0.011359525,-0.015813565,-0.0027880901,0.0076167514,0.015813565,0.021462252,0.048752733,-0.018465271,-0.010606827,-0.0066637946,-0.015413046,-0.0040293513,0.03974798,-0.008997849,-0.012374632,0.01759518,0.017001309,-0.01944585,0.016877009,-0.026696611,-0.011815287,-0.01314114,0.024362557,0.017346581,0.0016374635,0.00072852883,-0.024031093,0.023948226,-0.013224007,-0.00037354365,-0.0149296615,0.013058275,-0.007692712,0.005420807,0.012395348,-0.633316,-0.021683227,-0.022000879,-0.019487282,0.00335434,-0.003915411,0.008183002,-0.012533458,-0.03264914,0.010302986,0.01228486,0.021614173,-0.01603454,-0.023948226,0.0060112257,-0.02398966,-0.03325682,-0.006967636,0.033836883,0.014957284,-0.0017315507,0.006577476,0.013099708,0.0064255553,0.012243427,0.009888656,0.026503257,-0.008210624,0.017042741,0.0072645717,-0.013949082,0.0053310357,0.004823482,-0.009356935,0.040245175,-0.008852834,-0.010033672,0.0061389776,0.029085908,0.042620663,-0.023892984,-0.0046715615,0.04005182,0.021876581,-0.033726394,0.018465271,0.0009348302,-0.017111795,-0.0020923624,-0.02528789,-0.010883046,-0.025950817,-0.021213654,0.012250333,0.02371344,-0.0064324606,-0.001152353,-0.0144048445,0.023022892,-0.0051722093,-0.011221415,0.013293061,-0.018327162,-0.0149296615,0.0042848545,0.025646977,-0.020495484,0.01249893,0.0054380707,-0.0100682,0.008300395,0.0045783375,0.00645663,-0.012588702,0.0156064,0.021973258,0.008714724,-0.037676334,-0.009888656,0.005524389,0.0075476966,-0.014888229,-0.004274496,0.0133414,0.018465271,-0.008486843,-0.04201298,0.0042606853,0.010233931,0.018064752,-0.0054000905,0.022111367,-0.017539935,2.0338815e-05,-0.01618646,0.02313338,-0.017236095,0.023340544,0.014984906,-0.024210636,-0.009667681,-0.0058420417,-0.010503245,0.0013060002,0.021973258,0.023962038,-0.03878121,0.0015943042,0.04485804,-0.047924075,-0.016158838,-0.007019427,-0.038007796,-0.005862758,0.025937008,-0.02711094,0.013831689,0.008880456,0.008141569,-0.002717309,0.026530879,0.00072119175,0.04300737,-0.03433408,0.0078032,0.023312923,-0.002206303,-0.007941309,-0.026061306,-0.003981013,0.007927499,0.010807087,0.005652141,-0.021945637,0.025591733,0.009633154,0.017263716,-0.002244283,-0.021918014,-0.00563833,-0.0037703956,-0.0047129947,-0.0034268477,-0.02753908,-0.0046439394,-0.0048821787,-0.015081583,-0.0033577927,-0.00010520077,-0.010372041,-0.019625392,-0.014915851,-0.01213294,0.025923196,0.032483406,-0.0061113555,-0.008044892,-0.017070362,-0.0051169656,-0.0146810645,0.0018472177,0.0144048445,-0.010399663,0.0022649996,-0.005969793,0.01504015,-0.003186882,0.018575758,0.010537772,-0.02327149,0.017236095,-0.0060423007,-0.02513597,0.025729842,0.0030107922,0.045299992,-0.048476513,-0.016614601,-0.0004199399,-0.0010392757,0.014556766,0.01092448,-0.008521371,-0.018561948,0.011476918,-0.00070133846,0.0033008226,0.014598198,0.009798885,0.0063668587,-0.015799753,0.012519647,0.008500654,0.008887361,1.912496e-05,0.03190335,-0.026807098,0.009432894,0.003998277,0.02727667,0.04256542,0.017484691,-2.35353e-05,0.014025043,0.030964201,-0.030328896,-0.00034139,-0.019625392,0.00050841644,0.0341131,0.03240054,-0.035162736,-0.005755723,-0.021061733,-0.010275364,0.0044851135,-0.0017410457,-0.003915411,-0.021793716,0.0016685382,-0.00016022887,-0.0095157605,0.014308168,0.010593017,0.019956855,-0.019321552,0.005013383,0.01092448,0.0003351319,-0.01171861,0.0013206743,0.02513597,-0.013072086,0.013610714,0.023354355,-0.00031117848,0.0007708249,0.002772553,0.012340104,0.0063806693,-0.0010142433,-0.007085029,0.020605972,-0.019487282,-0.012250333,0.0049270648,0.009812696,0.0029020307,-0.0133828325,0.027041884,-0.005003025,0.007520075,-0.013403549,0.016586978,0.01575832,0.0057350066,-0.00688477,0.0036633606,0.045769565,0.02810533,0.027083319,0.0031109217,-0.0061942213,-0.008403977,-0.0059249075,-0.03618475,-0.025660787,-0.025633166,-0.029085908,0.011739327,-0.003387141,-0.012188183,-0.00080621557,-0.004989214,-0.0058109667,-0.012063885,0.013534754,0.0005770397,0.0014035401,0.0017634886,-0.017526124,-0.014984906,0.022332342,0.0046888255,0.0046750144,-0.035991397,-0.027691001,0.02143463,-0.018700058,-0.012367726,0.024970239,-0.00610445,0.013154952,-0.0133828325,0.0071609896,0.0076581845,0.015095393,-0.0035425145,-0.0023288752,0.023906793,-0.00865948,-0.011594311,-0.007602941,-0.028892554,0.036295235,-0.008721629,-0.0034682807,-0.01957015,-0.009826507,-0.019956855,8.383692e-05,-0.010558489,-0.015178259,0.003238673,-0.0024238257,0.023672007,-0.01462582,0.021351764,0.03449981,0.028160574,-0.00059344026,-0.043504566,-0.019556338,0.010807087,0.05778511,0.019459661,0.0044678496,0.007851538,-0.014308168,-0.00047949972,-0.020384995,-0.03378164,0.004809671,0.009633154,-0.009978428,-0.0064877043,0.011559784,-0.012975409,0.030687982,0.0053068665,-0.019376796,-0.0047682384,0.0077479556,-0.002239104,-0.0016426425,-0.013486415,0.013431171,0.022622373,0.018244294,0.007506264,0.03190335,0.037400115,-0.0012628408,-0.028119141,-0.014239113,0.033118714,-0.018382404,0.029831702,-0.0026499804,0.03433408,0.010358229,0.008155379,0.026599934,-0.0019404417,0.022359965,0.016586978,-0.008024176,-0.00082865835,-0.001593441,0.010641355,-0.014211491,0.017912831,-0.026102738,0.019915422,-0.0003215367,-0.018465271,-0.016683655,-0.01802332,-0.026006062,0.018106185,0.0029279261,-0.015482101,-0.0038636196,-0.009432894,-0.026627555,0.011331903,0.021462252,-0.025218837,-0.015371613,0.006387575,-0.029168775,-0.016877009,-0.010917574,0.0018178693,-0.008977132,-0.029831702,-0.016863197,0.003321539,0.014888229,0.013990516,0.012291766,0.0012809677,0.025702221,-0.04413987,-0.022884782,-0.020274509,0.0013940451,-0.019045332,-0.023602953,-0.0017600359,-0.0069400137,0.0056901206,-0.020661216,0.020661216,-0.014805363,-0.011552879,0.013886933,-0.007091935,0.013244723,0.016062161,-0.003684077,0.012050074,-0.00036620657,-0.012961598,0.010668976,-0.028050086,-0.02839536,-0.0114009585,0.018506704,0.0027017717,-0.011470013,0.0007000437,-0.007278383,-0.0008558487,0.017829966,-0.027373347,-0.011235227,-0.009059998,0.012257239,-0.013748824,-0.0010107906,0.0007052228,0.0031195534,-0.016062161,-0.0114009585,0.024348745,0.0066637946,0.0006810536,-0.018258106,0.020826947,-0.0035390619,-0.03947176,-0.026475634,-0.016117405,-0.029721214,0.021931825,-0.0067846403,0.0020975415,-0.042372067,-0.0067259436,-0.02285716,0.0015865355,-0.0052826973,-0.01603454,-0.015136826,0.005068627,0.002420373,-0.021241276,-0.00041864513,-0.029003043,-0.021324143,0.029721214,0.0025809256,-0.006370311,0.005672857,0.0010142433,0.004816577,-0.022166612,-0.010026766,-0.04643249,-0.0221528,0.0131963845,0.014377222,0.0402728,0.027525268,0.023243867,0.026296092,0.009999145,-0.00019108776,0.004333193,0.016435057,-0.008321111,-0.007872255,0.008859739,0.009170486,0.011753138,-0.026171794,-0.00930169,0.020909812,0.0012429876,-0.016020728,-0.021172222,0.001848944,-0.041819625,-0.00036858034,0.009039282,-0.017691856,-0.007292194,-0.03690292,0.0043884367,0.0477031,-0.014135531,0.017760912,-0.0056901206,-0.01127666,0.0009693577,0.021310331,0.011656461,-0.01603454,-0.0036184748,-0.0020215812,-0.016863197,0.008735441,0.009943901,0.025205025,0.0100405775,0.024514478,-0.014363412,0.016075972,0.027911976,0.0065671178,0.020716459,0.015951674,-0.019072954,0.0042675906,-0.01574451,-0.010448001,-0.014667253,0.0023823928,-0.010399663,-0.008894267,0.025343135,-0.020523105,-0.009377651,0.0064359135,-0.009778169,0.024721641,-0.014708686,0.027124751,0.0064048385,-0.00033556347,-0.0070366906,0.022815727,-0.018271917,-0.005127324,0.030770848,0.015288747,-0.028505849,-0.030411763,0.012277955,0.017388014,0.021268899,-0.038864076,0.020122588,0.02753908,0.010254648,-0.02085457,-0.008079419,-0.037400115,-0.0060837334,-0.00489599,-0.0044540386,0.013886933,0.0018109638,-0.0095779095,0.0008226161,-0.05695645,0.028947799,-0.012747528,-0.009495044,-0.005548558,0.0066327197,-0.032980602,0.0006927066,-0.0023962038,0.0043608146,0.023823928,0.016255515,0.034997005,0.01086233,0.00536211,-0.014791552,0.009950806,0.026047494,-0.0070435964,-0.022815727,0.0011661641,0.010855425,0.005444976,0.004416059,-0.02836774,0.0005701342,-0.024321124,-0.012229617,0.019183442,-0.007851538,-0.0041847248,-0.024252068,0.0034803653,-0.0102270255,0.0065153264,0.00801727,-0.004526546,-0.010558489,0.0026983188,0.011877437,0.0047682384,0.020481672,0.016421247,-0.014598198,-0.0058972854,0.030743226,-0.015592588,-0.014391034,0.020978868,0.009881751,-0.053890415,-0.008162285,-0.04361505,0.004826935,0.02300908,-0.01249893,-0.02099268,-0.019059142,-0.0031989666,0.030798469,-0.0015235229,0.0050720796,-0.012747528,-0.011518352,0.0038152812,-0.019528715,-0.007637468,0.020978868,-0.0255503,0.0023116115,0.010448001,-0.037400115,0.008431599,-0.034140725,0.0049132537,0.025812708,-0.020619782,-0.029085908,0.007920593,0.028837312,-0.03367115,-0.003349161,-0.021531306,-0.009633154,-0.026006062,0.022636184,-0.0029987076,0.021890393,0.03933365,0.0075615076,0.003753132,0.009280974,-0.012271049,-0.022318533,-0.016683655,0.0054656924,0.0051963786,0.003483818,0.011615029,0.02825725,0.012851111,-0.038090665,-0.019694448,-0.018271917,-0.048476513,-0.014294357,-0.0018834714,0.019280119,0.026793288,0.023022892,-0.004526546,0.0139697995,-0.0063426895,0.017208472,0.007271477,-0.017581368,0.016904632,-0.020315941,0.0094398,-0.012830393,-0.026572311,-0.025812708,0.0057867975,0.0128580155,0.02258094,0.039830845,0.0027932692,-0.0009676313,-0.011974113,0.0058316835,-0.0011083306,0.011041873,-0.0133828325,-0.045465723,0.0015744509,0.0006141567,0.010565395,0.001876566,-0.0078032,-0.014529143,-0.017774722,-0.028284872,-0.009198108,0.013403549,-0.012056979,-0.010800181,0.008521371,0.0011160993,0.0027949957,0.040935725,0.0023979302,0.00514804,-0.01462582,0.011511446,-0.006377217,-0.018064752,-0.009591721,-0.020675026,0.019238684,-0.021600362,0.026006062,-0.028947799,0.033312067,-0.009260258,-0.030826092,-0.03433408,0.014750119,0.014998716,0.0015571872,-0.010088916,0.0022011239,-0.02556411,-0.01589643,0.0031057426,-0.0040500676,-0.017001309,-0.009633154,-0.0044022477,-0.01805094,-0.01957015,0.01462582,0.004637034,-0.02343722,0.04458182,0.18318875,0.0066189086,0.013106613,0.008486843,-0.009709114,0.0063288785,0.011269754,-0.0080310805,0.01320329,0.0034147631,-0.036820054,0.014391034,-0.009943901,0.0013180848,0.0054518813,-0.016006917,-0.036405724,-0.013790256,-0.021324143,-0.0028882197,0.011608123,0.009198108,-0.02186277,-0.028754445,0.027000451,-0.012188183,-0.020951245,-0.0028951252,0.034720786,0.015647832,-0.006615456,-0.016214082,-0.002763921,-0.0016624959,0.0039499383,-0.007188611,0.009626248,0.008825212,0.007872255,-0.0026171794,0.0011782487,0.0035597782,0.004906348,0.0056901206,0.04527237,0.019321552,0.018078564,-0.009529571,0.012084601,-0.0052861497,-0.022111367,-0.023754874,0.025453623,0.03560469,-0.0075753187,-0.0016081152,0.022221856,0.009101431,0.011193793,0.020702649,-0.0017453617,0.04256542,-0.006843337,0.009177391,-0.0013923188,0.008362544,-0.0076719956,0.008459221,0.01930774,0.0052101896,0.00048338406,0.004208894,-0.0071609896,-0.0015053961,-0.03336731,-0.018769111,0.04049377,0.027345726,0.008100135,0.014584388,0.0005463966,-0.013817878,-0.019183442,0.020605972,-0.013866217,-0.036709566,0.007920593,0.026503257,-0.01916963,-0.004809671,0.0056797625,-0.020053532,-0.0048925374,0.022373777,-0.01845146,0.0019922329,0.002494607,0.013838595,-0.03477603,0.006384122,-0.012333198,0.045603834,0.004961592,0.0032990961,0.0011678904,-0.0060043205,-0.008763062,0.009343123,0.014971094,-0.01831335,0.008914983,-0.0544981,-0.011690988,0.0038429033,0.001821322,0.012733717,0.0033163598,-0.030770848,-0.0025757465,0.017443258,-0.009950806,-0.023451032,-0.0049028955,0.013797162,-0.04162627,-0.00023370756,0.004526546,0.0035062607,-0.01930774,-0.026475634,0.009508855,-0.028478226,-0.006466988,-0.007996554,0.009612437,0.019404417,-0.0222771,-0.0012723359,0.0073750596,0.0201364,-0.0131342355,-0.006574023,0.019031521,0.006860601,0.001254209,-0.0027293935,0.016283138,0.01412172,-0.0031489017,-0.034858897,-0.022000879,0.0037807538,0.031129932,-0.030190786,0.0300803,-0.004650845,-0.0056659514,-0.038007796,0.030190786,0.0021424273,-0.01759518,0.035135116,0.026088927,-0.005931813,0.0021078996,0.017263716,-0.17700143,0.0016573167,0.039223164,-0.011987925,0.005686668,-0.016780332,0.029555483,0.0043746256,-0.016283138,0.0016426425,0.008562803,0.008134663,-0.04499615,0.006750113,-0.007602941,-0.009481233,0.018216673,0.024196824,0.024473043,0.01716704,0.04800694,0.009294785,0.03378164,0.017498503,0.02383774,0.004492019,-0.016877009,0.048725113,-0.0018403122,-0.017760912,-0.0011920596,0.0023754872,0.03474841,-0.0061942213,-0.027801488,-0.015247314,-0.0067017744,-0.0076443735,-0.027318105,0.007602941,0.011380241,0.007989648,-0.0053172247,-0.0006508421,0.015261125,0.011104022,0.0059110965,-0.015661644,-0.0021631436,-0.00028959883,0.0050064777,-0.018824356,0.01716704,0.009881751,0.004723353,0.01051015,0.010109632,0.014542954,-0.0011204152,0.0029244735,-0.0050064777,-0.020661216,0.006349595,-0.011981019,-0.018921033,-0.026945207,-0.03267676,0.01632457,-0.0046888255,0.006560212,-0.017125607,0.018865788,-0.017415637,-0.033229202,0.01519207,0.0002246441,-0.031848103,0.018727679,0.03480365,-0.009122147,-0.004529999,0.048946086,-0.013886933,-0.012554174,0.0031799765,-0.004706089,-0.0153025575,0.0038670725,-0.008901172,-0.0064221025,0.0029469163,-0.016807955,0.0024687115,-0.019155819,0.010233931,0.013942177,0.013272345,-0.0034613751,0.014363412,0.0069331084,0.013845501,0.02287097,-0.03206908,0.010012955,0.018354783,0.015371613,-0.007837727,0.018106185,0.032262433,0.017899022,-0.028119141,-0.006183863,0.018700058,-0.00042727697,0.011497634,0.030991822,0.010275364,0.010931385,-0.004074237,-0.0118360035,0.014584388,-0.0057902504,0.0029072098,-0.016241703,-0.0078446325,-0.014556766,-0.09695303,-0.0073198155,0.017084174,-0.0045748847,-0.0144048445,0.012713,0.023644386,0.0055174837,-0.009343123,0.031295665,-0.03789731,-0.027925787,-0.0018834714,-0.014943473,0.049940478,0.015426856,-0.021144599,-0.006774282,0.033339687,0.034168348,-0.0067432076,-0.024583532,-0.0028088067,-0.0063219727,0.02628228,0.007167895,-0.03336731,0.005952529,0.01072422,0.04198536,0.008935699,-0.042703528,0.037565846,-0.007851538,-0.00901166,-0.017926643,-0.01591024,-0.02073027,0.00096504175,-0.038366884,0.0006158831,0.014266735,0.025633166,-0.004816577,0.0041605555,-0.01127666,-0.016780332,0.018865788,0.024031093,-0.008921889,-0.038118284,-0.010254648,0.0024997862,0.0051963786,0.017388014,-0.010254648,0.0024428158,-4.885092e-05,-0.043891273,0.0074648308,0.011559784,-0.010641355,-0.041653894,0.05024432,0.0092050135,0.020454051,-0.051045354,0.009729831,0.03353304,-0.02456972,-0.026157983,0.021890393,-0.028782068,0.013161858,-0.020923624,-0.010275364,-0.015841186,0.0037047935,0.023892984,-0.015164448,-0.004312476,-0.031323288,0.03361591,0.0028830406,0.009405272,0.011242132,-0.0065533067,0.020965056,0.008928794,-0.020661216,0.036129504,0.029804079,0.02113079,-0.006698322,0.021517497,0.015703076,0.0091428645,0.016227894,-0.030273652,0.004288307,-0.031682372,0.01574451,-0.06391718,0.023754874,0.0018851978,0.018382404,0.00923954,-0.01589643,0.005013383,0.013251629,-0.013817878,-0.010185593,-0.0075615076,0.016946064,-0.036930542,0.007865349,0.0022270193,-0.014984906,0.015371613,0.003753132,0.014750119,0.005769534,-0.014515333,-0.01127666,0.021821337,-0.0027621945,-0.022346154,0.0022235666,-0.021697039,0.015841186,-0.009550287,-0.010855425,0.032455787,-0.009177391,-0.014598198,0.026558502,-0.011380241,-0.029306885,0.0047578802,0.00902547,0.029804079,0.017788533,-0.027207617,-0.02824344,-0.002368582,0.003998277,-0.009073809,-0.00013249902,0.0005602076,0.00012268029,0.013168762,-0.0011644376,0.024845941,0.021089356,-0.025881764,-0.007520075,0.01419768,-0.014391034,0.0057246485,-0.0005312909,0.025315514,0.0033836884,0.0068398844,0.015205882,-0.007478642,-0.008176096,-0.018299539,-0.00589038,0.005161851,-0.005327583,0.009101431,-0.021517497,-0.029555483,0.008238246,-0.0088114,0.012312482,0.027028074,-0.009294785,-0.0037462264,0.0064186496,-0.0019335363,0.024058715,0.0034182158,-0.0062114852,-0.0029262,0.015551155,0.0020699196,0.00575227,-0.0042814016,0.015343991,-0.0087423455,0.004108764,-0.020467862,0.013175668,0.012830393,0.020550728,-0.011373336,0.030190786,0.005486409,-0.0076305624,-0.0012447139,0.03565993,0.0063944804,0.0049788556,0.00645663,-0.01930774,-0.032290056,0.0015606399,-0.007713428,-0.030743226,0.0042675906,-0.011083306,-0.017125607,-0.010482528,-0.001876566,0.01178076,-0.02371344,0.0017902474,0.010579205,-0.017443258,-0.013244723,0.016131217,0.025881764,0.020896003,-0.01291326,-0.022953836,0.023892984,0.004637034,0.015924051,-0.014349601,0.008652574,-0.011221415,-0.0056694043,-0.012809677,0.0007233497,-0.036709566,-0.026599934,-0.0006072512,-0.019956855,0.008887361,0.004088048,0.08374974,0.009343123,-0.0038290923,0.00014889955,-0.0146810645,0.015661644,0.020260697,0.019059142,0.010157971,-0.032842495,0.04226158,-0.010012955,-0.0070263324,-0.03394737,0.0051791146,0.0031419962,-0.029748835,0.003145449,0.00010784428,0.01562021,0.01127666,-0.014080287,0.016366003,0.018092375,-0.021241276,0.0071402728,0.00010196382,-0.009826507,-0.023230057,-0.0060699224,-0.006860601,-0.013735012,-0.008134663,-0.024624964,0.013714296,-0.008611142,-0.009571005,0.006073375,0.018769111,0.02671042,-0.016062161,0.012733717,-0.008963321,-0.020550728,-0.007706523,-0.0007893834,-0.0009995692,-0.010696598,-0.013589998]', 'plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image', '{"mem_type": "recipe", "custom_id": "0f1964f6-b03c-405b-9fea-f71df49d4f7f"}', '0f1964f6-b03c-405b-9fea-f71df49d4f7f', '6adbeeae-b39d-4e8e-832a-8bde42a84bb4'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.014116889,0.0018076504,-0.000564781,-0.0175249,0.0058006435,0.02261232,-0.040839903,0.0073289773,-0.008973255,-0.04336956,-0.008404082,0.0129785435,-0.013751495,-0.0072797895,-0.0229215,-0.0018076504,0.013526636,-0.024523616,0.020265361,-0.006938989,-0.0040298835,0.011769931,0.01878973,-0.0025419537,0.009816473,0.0033078773,0.013885004,-0.033222824,-0.010125654,-0.0068441266,0.02650518,-0.0087413695,-0.0030619386,-0.022654481,0.0055617313,-0.012753685,0.0024488482,-0.013238536,0.0069565554,-0.010392673,-0.013702307,-0.010476995,0.016133588,-0.028135402,-0.0029389693,-0.0042512286,0.018283797,-0.00092402735,-0.006949529,0.027432721,-0.0013869194,0.025746282,-0.03597734,-0.011580206,0.0023768235,0.02457983,-0.008811638,0.0015467796,-0.00031532874,-0.020785347,0.02411606,0.00758897,-0.0149530815,0.007385192,-0.01706113,-0.06149876,-0.007462487,0.0011796282,0.021726942,0.009394865,0.01871946,0.046152182,0.00087483955,-0.01841028,-0.0045393286,0.005677674,-0.015276316,0.009155952,-0.009198113,0.0026824903,0.025746282,-0.00519985,0.0037663777,0.011242919,0.026336536,-0.0018217041,-0.0061168503,0.025535477,-0.009120818,-0.011116436,0.01571198,0.010462942,0.011523992,0.01767949,-0.010329432,0.012992597,0.0057760496,0.027306238,0.012310996,-0.0207994,-0.01683627,0.013976352,-0.042385805,-0.014489311,-0.03173314,-0.007336004,0.025732229,0.00077295065,0.013688253,0.02597114,-0.021178849,0.029540768,0.0031690975,-0.027011111,-0.026322482,-0.013175295,0.019197283,0.0030636953,0.009942956,-0.0037663777,-0.015726034,0.03746703,0.009654856,-0.017384363,0.01130616,0.0074835676,-0.004918777,-0.024354972,-0.017187612,-0.0045639225,-0.00015063754,-0.015135779,0.0031497737,-0.006960069,-0.025338726,0.024636045,-0.015473066,-0.008678128,-0.027025165,-0.027812168,0.017538954,0.02002645,0.0014536743,0.007350058,-0.00023583778,0.007778694,-0.00010013224,0.008621913,0.010322405,-0.0055020032,0.011531019,-0.019731322,-0.022232872,-0.0036820557,-0.022176657,0.0108353635,0.0071111456,0.013533663,0.00878353,-0.0030795056,0.01856487,-0.0033851725,0.0043074433,0.002002645,0.012318023,0.04606786,-0.014229318,-0.023315003,0.0006117729,-0.011467777,-0.005020666,0.020138878,-0.019014588,-0.009022443,0.0028282967,0.018480549,0.010540237,0.045590036,-0.020152932,-0.030412095,0.0041915006,0.005308766,-0.0059552337,0.0007334248,-0.014967135,-0.019197283,0.017482739,-0.008031661,0.006215226,0.02018104,0.023511754,0.008713262,0.021755049,0.009429999,-0.6260057,-0.041373942,0.007968419,-0.040277757,0.02272475,0.001682046,0.0058357776,0.002216963,-0.02438308,0.02635059,-0.011833172,0.007392219,0.0029758601,-0.034600083,-0.010238083,-0.015135779,-0.035499517,-0.0043425774,0.016231963,0.015191994,-0.022710696,0.026687877,-0.0072727627,0.020827508,-0.0136742,-0.0066052144,0.010540237,0.004022857,-0.010273217,0.027741902,-0.049609378,-0.0042090677,0.0047431067,-0.015726034,0.047782402,0.002599925,-0.0105894245,0.009001362,0.012388291,0.011228865,-0.026519233,-0.0007167361,0.027910544,0.018972427,-0.007624104,0.0067316974,0.00805274,-0.007905178,-0.0024172275,-0.015234155,-0.003190178,-0.022064228,0.00069433806,0.005997394,0.011629394,-0.005368494,0.020588595,-0.0229215,0.019295659,0.009429999,0.0009064603,-0.0073570847,-0.013259617,-0.025451155,-0.026448965,0.021881532,0.030159129,0.01037862,0.0005704903,-0.03682056,-0.009282435,0.013069892,0.018072993,-0.018340012,0.025900872,0.015894677,0.03024345,-0.0020764265,-0.019239444,0.02133344,0.018354066,-0.003232339,-0.02581655,0.0025349269,0.012128298,-0.0073570847,-0.034965478,0.0020289954,0.019056747,0.032492034,0.015473066,-0.0008744004,-0.014896867,0.015768195,-0.0022468271,0.03263257,-0.011102382,0.01431364,0.012929356,-0.01602116,-0.010596451,0.0041915006,-0.008179223,-0.0046131103,0.020448059,-0.003339498,-0.02276691,-0.008158143,0.02909105,-0.014032567,0.0030970727,-0.003692596,-0.022668535,-0.018002724,-0.028542958,-0.03398172,0.04522464,0.0053368732,-5.928883e-05,0.0045568957,0.0256198,0.02091183,0.0077224793,-0.0067176437,0.011278053,0.04078369,0.020560488,-0.03327904,-0.029878056,-0.008650021,-0.012746658,0.0051612025,0.027306238,-0.009921876,0.04024965,-0.0034167932,0.024860904,0.01475633,-0.0060500954,-0.0070584444,-0.028866192,-0.009626749,0.0015406312,-0.033419576,-0.025071707,-0.029400231,0.0020904802,0.0013948246,0.00077075476,-0.010491049,-0.033307146,-0.005533624,-0.004711486,0.0036469216,0.03316661,-0.018283797,0.030608846,-0.005164716,-0.002043049,-0.017159505,-0.0016794109,0.0029600498,-0.0103997,-0.012205593,-0.01610548,-0.00015349219,0.017918402,0.018536763,0.022837179,-0.03285743,-0.004117719,-0.018930266,-0.02535278,0.0108353635,0.0031743676,0.030693168,-0.004050964,-0.0049995854,0.011032114,-0.016189802,0.009155952,0.029962378,-0.008333813,0.0033412548,0.032913644,0.004953911,0.015852517,0.0056495667,-0.0032270688,0.018354066,0.007863017,-0.006362789,0.0017022481,0.029344017,-0.02400363,0.019703215,-0.014271479,0.020982098,-0.0058533447,0.02060265,0.033447683,0.013196375,0.013491502,-2.840923e-05,0.009598642,-0.011769931,0.0014378639,-0.0121564055,0.0014238103,-0.014433096,0.045280855,-0.057957243,-0.015669819,0.00997809,-0.013203402,0.008425162,-0.01663952,0.00085683336,-0.033138502,-0.0006174822,0.01537469,-0.02095399,0.015852517,-0.01814326,-0.004989045,-0.0096056685,0.010982926,0.03847889,0.023708506,-0.01825569,0.018621085,0.004346091,0.0027931626,0.0020114286,0.023989577,-0.010146734,-0.005087421,-0.021811264,0.007624104,0.018283797,-0.0037804313,0.0081230085,0.01663952,-0.030721275,0.0169487,-0.012233701,0.033138502,-0.0030812623,-0.018269744,0.0125288265,-0.021839371,0.015922785,-0.002749245,0.009767286,0.018115154,-0.020110771,-0.027376506,0.025015492,0.022106389,0.026125731,0.04232959,0.0071006054,0.0077576134,0.001923593,0.013702307,-0.024326865,0.0049047233,0.014404989,-0.023511754,0.0012112488,-0.012247754,-0.0005551191,-0.010322405,-0.031480175,0.0021853424,0.0074132993,-0.0032428792,-0.0013192863,0.00030500808,0.011580206,-0.026013302,-0.031339638,0.04904723,0.007044391,-0.007996527,-0.011327241,-0.026912736,0.033138502,-0.06183605,-0.0041142055,-0.0019868347,-0.0023803366,0.008966228,-0.0022099363,-0.014271479,0.027432721,0.014257425,-0.010912659,-0.01159426,0.033026073,-0.030018592,0.001350907,-0.0054738964,-0.015388744,0.05289793,0.008242465,-0.005080394,-0.0029512662,-0.016203856,-0.01668168,-0.0014615795,0.014559579,-0.0032657164,0.014784438,0.009401891,-0.008797584,-0.017974617,0.022429623,0.026912736,0.006738724,0.0040474506,-0.035724375,0.0012692201,0.02681436,0.0135547435,0.014784438,0.001684681,0.017089237,0.0050593135,0.004960938,-0.027137594,-0.027994866,0.0069987164,-0.017496793,-0.010455915,-0.0037663777,-0.012823953,0.013786629,0.035527624,-0.0117839845,-0.01883189,-0.027362453,-0.0103997,-0.010638612,-0.00045498685,0.008790557,0.011798038,0.032660678,0.009247301,-0.0046904054,0.03527466,0.018635139,0.0042933896,-0.025268458,0.004859049,0.00069477723,-0.014742277,0.039237786,-0.0071673603,0.047135938,0.03347579,-0.023202574,0.01537469,0.0030970727,0.012711524,0.018087046,0.009500267,-0.0042406884,0.0023662832,-0.011137516,0.0010601721,0.034262795,-0.013934191,-0.0012419912,-0.010231056,-0.012662336,0.012177486,-0.03589302,0.0017250853,-0.006289007,0.003864753,-0.000699169,0.0041317726,-0.037326492,-0.028711602,-0.00024857392,0.0061590113,-0.022668535,-0.03971561,-0.0026789769,-0.020897776,0.0034782777,-0.022837179,0.00011660136,-0.0045568957,-0.007385192,-0.029878056,0.028922407,0.0075257285,0.030299665,0.015852517,-0.022387462,-0.006942502,-0.03398172,-0.025549531,-0.014116889,0.016962754,-0.034487654,-0.0065560266,0.00011264877,-0.02951266,-0.010287271,-0.004722026,0.02438308,-0.021445869,-6.8950714e-05,0.022893393,0.02053238,0.011854253,0.011629394,0.0127747655,-0.0030250477,-0.007778694,-0.012261808,0.007813829,-0.031986106,-0.012648283,-0.01898648,0.040221542,0.0036785423,-0.016274124,0.013463395,0.00445852,-0.007863017,-0.010505103,-0.0066825096,0.008966228,0.0050066123,0.011278053,-0.016231963,0.00208521,0.015290369,-0.0030320745,-0.032351498,-0.01221262,-0.009542427,0.0041493396,0.015782248,-0.015585495,0.02920348,-0.00012472614,-0.01852271,-0.021656673,-0.009774312,-0.014503364,0.011868306,-0.01502335,-0.00095828314,-0.020419952,0.0020711564,-0.019506464,-0.0014246886,-0.024256596,-0.02920348,0.0048976964,-0.020279415,-0.017018968,-0.014355801,0.0010259163,-0.01856487,-0.012268835,0.013196375,-0.007771667,0.005635513,-0.00400529,0.009085684,-0.0019798079,-0.007047904,-0.011973708,-0.019871859,-0.0063838693,0.0041915006,0.025746282,0.0032288255,0.03982804,0.0213756,0.0005476531,0.028528905,0.0041317726,0.003436117,0.014812545,-0.021769103,-0.012852061,-0.01794651,-0.00071146595,-0.013568797,-0.018888105,-0.013856897,0.0019007559,-0.0018568382,0.0010118627,-0.006710617,0.009219194,0.0013992164,-0.01878973,0.0017944751,-0.005814697,0.023216628,-0.06768237,-0.0045463555,0.049300198,0.00057707797,0.020701025,-0.01626007,0.015880624,-0.017721651,-0.0016653573,0.02920348,0.0047431067,-0.00059728004,0.0048906696,-0.02535278,0.00968999,0.03516223,0.024593884,-0.012781792,0.00862894,0.0018744053,0.016864378,0.008720289,0.030383987,-0.0038998872,-0.012318023,-0.014812545,-0.00849543,-0.0026701933,-0.010034305,-0.01188236,0.028402422,-0.01852271,0.0064681913,0.034993585,-0.024678206,-0.016414661,0.01798867,-0.0001665577,0.018157315,0.014629847,0.021755049,-0.011664528,6.422956e-05,-0.019295659,0.002139668,-0.028219724,-0.022935554,0.03482494,0.020265361,-0.0025419537,-0.015290369,0.020012395,0.01975943,-0.009078657,-0.033756863,0.020785347,0.001834001,0.010132681,-0.017300041,0.0004053599,-0.019014588,0.019885913,4.059638e-05,-0.019717269,0.013140161,0.0069354754,0.0002731678,0.04117719,-0.012177486,0.014243372,-0.006289007,-0.015093618,-0.011833172,0.0056495667,-0.048991017,-0.0037628643,-0.009394865,0.026491126,0.0062644132,-0.005393088,-0.0006108945,0.018452441,-0.0071006054,-0.01582441,-0.001612656,0.02453767,-0.0250436,-0.033307146,0.009964037,0.022022067,0.0033781456,0.0026034385,-0.0057338886,0.010765095,-0.030440202,0.0039139413,0.011390482,-0.007841936,-0.009704044,-0.015220101,0.004050964,-0.0121564055,-0.005277145,-0.007863017,0.0024910092,-0.010736988,-0.035106014,0.018129207,-0.0032217987,0.027025165,0.020279415,-0.004852022,0.00092402735,0.03856321,-0.020743186,0.0044444664,0.011179677,0.00095652643,-0.038535103,0.006710617,-0.015135779,-0.0142152645,0.041120976,-0.018859997,-0.034459546,0.007114659,0.00039503924,0.019394035,-0.010701854,-0.015234155,0.001858595,0.00060123263,-0.005435249,-0.0039842096,-0.013702307,0.053769257,-0.012318023,0.0052209306,0.020363737,-0.029878056,0.038001068,-0.020897776,0.010603478,0.019745376,-0.042301483,-0.0012648284,-0.0031550438,0.014686062,-0.01794651,-0.006619268,0.0075749164,0.0032903103,0.0019569707,0.007307897,0.00193589,0.0133861,0.011348321,0.022949608,0.0096056685,-0.0038155655,-0.026575448,-0.009415945,-0.039378323,0.019857805,-0.028950514,-0.013920138,-0.010982926,0.036680024,0.017314095,-0.03909725,-0.034037936,-0.017651383,-0.045927323,-0.014116889,-0.019717269,0.023638237,0.018817836,0.027812168,0.017974617,0.008621913,-0.0056565935,-0.002144938,-0.010259164,0.014924974,0.0006043069,-0.04171123,-0.0058709118,-0.008706235,-0.03296986,-0.015234155,0.022865286,0.00028195133,-0.013498529,0.041964196,0.014257425,-0.0125218,-0.008073821,0.017285988,-0.0035573295,0.007975446,0.01582441,-0.0415988,-0.0024330379,0.002498036,-0.004532302,-0.021586405,0.00849543,0.008481377,0.026252214,0.002629789,-0.0061871186,-0.011011033,0.0025173598,-0.023244735,0.0095635075,0.009317569,-0.022710696,0.010765095,0.018803783,-0.0017505575,-0.011987762,0.028613226,-0.020855615,0.0029670766,0.0128099,-0.0017250853,-0.019970234,-0.0058533447,0.002396147,-0.012634229,-0.01267639,-0.0044550067,-0.025099814,-0.023399325,-0.004321497,0.008952174,-0.030805595,-0.010132681,0.015950892,-0.027615419,-0.004686892,0.014939028,0.0002597729,-0.042048518,0.015796302,-0.0056074057,-0.021010205,-0.016808163,-0.0034905747,-0.011664528,-0.010968873,0.052392,0.17449011,-0.011699663,0.02566196,0.028149456,-0.02909105,-0.0035292222,0.017342202,0.015627658,0.01502335,-0.017328149,-0.0089451475,-0.0015696167,0.02095399,0.012043976,0.021726942,-0.033616327,-0.03712974,-0.0034554407,-0.045899216,0.005719835,-0.0155292805,-0.026294375,-0.033728756,-0.017187612,0.010926712,-0.0017514358,-0.026280321,-0.0037382704,0.02245773,0.022626374,-0.016695734,-0.009078657,0.013962299,-0.004261769,-0.020771293,0.006721157,0.008502457,0.009085684,0.035640053,0.01340718,0.00044861878,-0.0028405937,-0.01767949,-0.013217456,0.0036434082,0.014039594,0.011776958,-0.0013245564,-0.0060782027,-0.0062222523,-0.01267639,-0.021010205,0.03451576,0.016302232,0.0014677279,-0.010308351,0.00997809,0.011762904,-0.026322482,0.0135125825,0.0011128733,0.025676014,-0.0014440124,-0.010989953,-0.028177563,0.024144167,0.0054141684,-0.0061871186,0.019899966,-0.014123916,0.02473442,-0.015908731,-0.024298757,-0.0030672087,-0.028767817,-0.021235064,0.024650099,0.01621791,-0.00023671614,0.03327904,-0.0034976015,-0.025690068,-0.006534946,0.002253854,-0.0061941454,-0.040193435,0.007216548,0.0011181434,-0.027193809,-0.009654856,0.0046166237,-0.0156136025,-0.011228865,0.0029372126,0.008249491,-0.00041721767,-0.02800892,0.0053544403,-0.014081755,-0.013589878,-0.01949241,0.06723265,0.006584134,0.012648283,-0.002940726,-0.013189348,0.0036398948,-0.0008357529,0.0061519844,0.010807256,0.003625841,-0.047866724,0.0056074057,-0.00092578406,-0.0018006236,0.010371593,0.013069892,-0.02931591,0.007813829,-0.0025138464,-0.015079564,-0.033194717,-0.0021976393,0.01055429,-0.034262795,-0.0005836656,0.009015416,0.0055125435,0.008003553,-0.02361013,0.03164882,0.007293843,0.03339147,-0.006303061,-0.012816926,0.0022819613,-0.010933739,-0.00876245,-0.019506464,0.02993427,0.017581115,-0.006338195,0.024593884,0.0075749164,-0.00065042044,-0.009444052,0.022204764,0.008235438,-0.0016003591,-0.027460828,-0.018972427,-0.029175373,-0.0077927476,-0.007701399,0.03766378,0.01995618,-0.015641712,-0.021347493,0.011678582,0.0029600498,-0.021979906,0.011868306,0.016962754,-0.008755423,-0.0007044391,0.030805595,-0.18101099,0.003864753,0.024411187,-0.039771825,0.00297059,-0.017018968,0.014348774,-0.0050593135,0.014882813,0.007581943,0.0043285238,0.019155122,-0.038591318,-0.004135286,-0.012233701,0.0007312289,-0.039322108,0.010118627,0.0013394884,0.01741247,-0.001234086,-0.017777866,0.029062944,0.000699169,0.030299665,-0.001876162,-0.005259578,0.027966758,-0.008692182,0.0115380455,-0.00860786,-0.009500267,0.026589502,-0.012578014,0.020363737,0.018325958,-0.016723841,0.010174842,-0.013196375,0.035330873,-0.0019517003,0.0045287884,0.009521347,-0.019928074,0.007813829,0.006320628,0.00072683714,-0.0047079725,0.0044374396,-0.012838007,-0.0031673408,-0.022907447,0.010701854,0.012725578,0.01205803,0.02654734,-0.006397923,0.0054387623,-0.006236306,0.007392219,-0.009711071,-0.032098535,-0.0019639975,-0.0057514557,-0.002450605,-0.010027278,-0.031705033,-0.0043531177,-0.008354894,0.024369026,-0.0052384976,-0.003334228,-0.005421195,-0.027573258,0.015557388,0.008235438,-0.036033556,0.0081651695,0.0058709118,0.010181868,-0.025451155,0.0300467,-0.020729132,0.023019876,0.0144190425,0.016274124,-0.0008985551,0.009626749,0.007427353,0.00266668,0.023975523,-0.016302232,0.03294175,-0.0049644513,0.033447683,0.030215343,0.005326333,0.016498983,0.00743438,-0.019773483,-0.0028054595,0.022401515,-0.01610548,0.0036574618,-0.0027211378,0.012823953,-0.032997966,0.017300041,0.035864912,-0.019590786,-0.015121725,0.000497587,0.035499517,-0.0101116,-0.0070338505,0.03192989,-0.022809071,-0.030889917,0.0076592383,0.0075678895,0.0052033635,-0.010512129,-0.007729506,-0.021305332,-0.00075406604,-0.013357992,-0.101467334,-0.005533624,0.015585495,-0.03142396,-0.0018322443,0.01668168,0.002940726,-0.0032165286,-0.016316285,0.009992144,-0.025900872,-0.01236721,0.008221384,-0.0044444664,0.05717024,-0.013463395,-0.036370844,-0.017356256,0.030440202,0.039546967,-0.004254742,0.00059552334,0.0014492825,-0.016386554,0.018438388,0.013526636,-0.012894222,0.026181946,0.028149456,0.0077224793,-0.00207994,-0.027306238,0.002169532,0.012233701,-0.013140161,-0.0048485086,-0.013667173,-0.023750667,0.006735211,-0.02727813,-0.007729506,0.011418589,0.009458106,-0.014657955,0.018958373,-0.023596076,0.002199396,0.023329057,0.018607032,-0.014812545,-0.021923693,0.0020079152,-0.011798038,-0.0072727627,0.0022766911,0.0054563293,0.011987762,-0.0015063754,-0.000729033,-0.0018568382,0.009001362,0.0044093323,-0.016569251,0.033026073,0.012332076,-0.0009099737,-0.018494602,0.010652666,0.0018234608,-0.019970234,-0.008263545,0.039996684,-0.017609222,-0.010701854,-0.009465133,-0.016723841,-0.03566816,0.0065454864,-0.0018094071,-0.018087046,-0.02650518,-0.007293843,-0.0060676625,-0.0071708737,-0.012022896,0.013161241,0.0046587847,-0.014812545,0.024172274,-0.029765626,0.026744092,0.04834455,0.014067701,-0.015388744,0.0004997829,0.0033447682,0.01082131,0.012163432,-0.007336004,-0.011875333,-0.03940643,0.003776918,-0.05705781,0.02276691,0.010294298,-0.018466495,0.00018939486,-0.00015986025,-0.01254288,-0.005526597,-0.024467401,0.0065138657,-0.0042266347,0.017398417,-0.04297606,-0.008298679,-0.009999171,-0.026997058,0.01502335,-0.0014809032,0.038619425,-0.0056390264,-0.016077375,0.023989577,0.015121725,-0.001129562,-0.02765758,-0.008193277,-0.01444715,0.016892485,0.0028282967,-0.0213756,0.016119534,-0.012254781,-0.01084239,0.017089237,3.9965063e-05,-0.0038261057,0.0072376286,0.028557012,0.025099814,0.032295283,-0.008713262,-0.0015116455,0.0052525513,-0.0125288265,-0.008488404,0.014390935,-0.013168268,-0.007905178,0.017328149,-0.00951432,0.037410814,0.02164262,-0.0065384596,-0.023834988,-0.013372046,-0.0062995474,0.020152932,0.025788443,0.009148926,-0.0013465153,0.03589302,0.013343939,0.012184513,0.0024365513,0.018494602,0.0016416417,0.0108775245,0.0074905944,-0.011875333,-0.04328524,-0.024214435,-0.024411187,0.002020212,0.015037403,0.023483647,-0.029006729,0.005568758,0.018747568,0.0008142332,0.015880624,0.009486213,-0.017623276,-0.023329057,0.0300467,0.013870951,0.004662298,-0.026898682,0.013533663,-0.0031005861,-0.0063346815,-0.00111463,0.008361921,0.017468685,0.023849042,-0.022050174,0.005593352,0.009247301,-0.02681436,0.026139785,0.04514032,-9.208983e-06,0.007940312,0.010751042,-0.0023329058,-0.015501173,0.018902158,-0.02064481,-0.050733667,0.024650099,-0.0054493025,-0.015979,0.00714628,0.025423048,0.009387838,0.0068933144,0.015163886,0.006678996,0.0028405937,-0.024945224,0.022232872,0.020405898,0.021445869,0.019408088,-0.00700223,0.017749758,0.014285533,0.028093241,-0.018297851,0.01234613,-0.010160788,0.00847435,-0.010610505,-0.022499891,-0.026954897,-0.012247754,0.02862728,-0.0035292222,0.023062037,0.0053368732,0.097138815,0.015880624,-0.0084111085,-0.003734757,0.0035555728,0.030552631,-4.839176e-05,0.0075257285,-0.028037027,-0.0018023803,0.034600083,-0.017047076,-0.005874425,-0.044044133,-0.014629847,-0.0071006054,-0.019576732,0.023399325,0.009949983,-0.0072376286,0.029878056,0.00020421707,0.01825569,-0.0023908769,-0.02909105,0.011221838,0.028374314,-0.015922785,0.0011831416,-0.0149530815,0.009064604,-0.003207745,-0.019661054,-0.023834988,0.007961392,-0.0020237253,9.277604e-05,-0.034571975,0.026575448,0.010034305,0.0032358523,-0.008354894,-0.015964946,0.004202041,0.0032815267,0.009732151,-0.0035151686,-0.013997433,-0.0059622605]', 'provide a text summary of metadata by subnational region using HAPI data as text', '{"mem_type": "recipe", "custom_id": "6757e581-4656-4994-82f9-a15a0b4ce5a9"}', '6757e581-4656-4994-82f9-a15a0b4ce5a9', '7f8c3a08-235f-4300-b850-bc1de39a42cc'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.017678425,-0.013333849,-0.01584913,-0.0036907464,0.0012513881,0.0057058297,-0.0060023754,-0.03807221,-0.033870548,-0.03578559,0.014891608,-0.0023473576,-0.024209581,0.006670497,-0.01783563,0.021337016,0.020679614,0.0018507325,0.007574426,-0.014512886,0.013998397,0.025281433,0.02179434,-0.025367182,-0.008717736,-0.009146477,0.0058880444,-0.010439846,-0.029554553,0.009761006,0.008996418,-0.0010209398,-0.009346556,-0.028182583,-0.000568082,0.0040873317,-0.013076603,-0.0046875696,0.0035174636,0.004519646,0.011811817,-0.023637926,-0.007910273,0.012576406,-0.00834616,-0.0025813787,0.005144893,-0.0035299684,-0.02159426,0.0064882822,0.017978543,0.010025396,-0.008896378,-0.020865401,0.002951168,0.023180602,-0.00095394894,0.018007126,0.003235209,0.0064882822,0.019850714,0.028311204,-0.05350689,0.015977751,0.0017783823,-0.005673674,0.0048662117,-0.010111145,-0.012662154,0.0053771283,0.01730685,0.016563699,-0.008181809,-0.0010995422,-7.625786e-05,-0.007910273,0.0019543448,0.0076673203,-0.0025045627,-0.0030226249,0.026753444,-0.014834442,-0.013048021,0.035814174,0.0073136087,0.019836422,0.00078781176,0.015563302,-0.0012049412,-0.015363223,0.011597447,0.01121158,0.012633571,-0.015777674,-0.024495408,-0.00047920752,-0.01836441,0.01730685,-0.007531552,-0.022809027,-0.018921774,0.0111901425,-0.018635947,-0.012662154,-0.033413224,-0.0059059085,-0.0008431908,-0.014470012,0.029754633,0.014934482,-0.015363223,-0.0013916221,0.0063239313,-0.024466826,-0.002315202,-0.02212304,-0.026724862,-0.043645844,-0.04318852,-0.030011877,0.01669232,0.0134267425,0.018421575,-0.0063632326,0.015577594,0.0097538605,-0.026739154,-0.0023312797,0.0055057504,0.00667407,0.04796184,0.0057058297,0.021865796,0.010354098,-0.02846841,0.024409661,-0.004948387,0.0054342933,0.010446992,-0.00907502,-0.0008981233,0.028411243,-0.02513852,-0.0020936858,-0.018107167,0.029383058,0.008038896,0.009503761,-0.01361253,-0.017278267,0.007595863,-0.023280643,0.027239352,-0.0053199627,0.0100825615,0.0029440222,0.003998011,0.011097249,-0.025595844,0.0021972982,0.012912253,-0.020165123,0.0017774892,-0.023209184,-0.015077395,0.034728028,0.031555347,-0.013405305,-0.0053271083,-0.002290192,0.006373951,0.014612926,-0.020450952,0.010389826,0.011268745,0.0048769303,-0.0014389623,0.014470012,-0.0048233373,0.027896754,-0.019679217,-0.01742118,0.022637531,0.022351703,-0.024023794,-0.024552574,0.002522427,0.004030166,-0.034470785,-0.0044553345,0.01586342,0.006080978,0.010811422,0.013619676,-0.66037565,-0.015963461,0.003880107,-0.010940044,0.02785388,0.030497784,-0.010275495,-0.01564905,-0.006677643,0.0023562897,-0.011983314,-0.0036621636,0.010454137,-0.010489866,0.026739154,-0.019579178,0.0024009503,-0.025938837,-0.014498595,0.039044023,-0.033184562,0.013826901,0.002518854,0.0134195965,0.004019448,-0.014477158,-0.010854295,-0.033641886,-0.012583552,-0.011533136,-0.023595052,0.024395369,-0.014920191,-0.020150833,0.053592637,-0.0013156993,-0.026167499,0.011111541,0.025938837,0.04861924,-0.016435076,-0.007574426,0.03224133,0.015663343,-0.02389517,-0.006645487,0.03484236,0.029040065,-0.01939339,-0.0051163104,0.011361639,-0.008210392,-0.017478345,0.0032387818,0.016563699,0.00041377984,0.02596742,-0.03181259,0.014720111,0.009189351,0.009089312,0.010668508,-0.031526763,-0.0023580762,-0.008932106,0.0044731987,-0.01053274,0.007288599,0.0006962577,-0.024595449,0.0011209793,0.009660967,0.01480586,0.021194102,-0.002209803,-0.0026099614,0.03138385,-7.8323406e-05,-0.012390618,-0.0029190124,0.00553076,0.0018543053,-0.030469202,-0.023380682,0.027196478,0.013583947,-0.0025206404,-0.016320745,0.0021562106,0.012061916,0.009560927,0.011490262,-0.011233017,-0.0032995201,-0.018707404,-0.009067874,-0.009696695,0.02512423,0.030383453,-0.032898735,0.003111946,0.0043302854,0.009260808,0.003947991,0.006874149,0.0077745053,-0.008660571,0.023795132,0.027039273,-0.014612926,-0.0073814928,-0.0018328682,-0.0096323835,0.0003693426,-0.008210392,-0.035556927,-0.0027618073,-0.004398169,-0.009911065,0.0035549784,0.03712898,-0.020450952,0.0020793944,-0.007481532,-0.0035192498,0.025424348,0.0014970211,-0.008996418,-0.014241351,-0.015877713,0.03578559,-0.011218726,-0.006831275,-0.015005939,0.0038693885,0.009575218,0.00024161348,-0.011547427,0.01669232,-0.03601425,0.02816829,0.013040875,-0.0029136532,-0.01679236,0.0019150436,-0.004583957,0.019336224,0.0073814928,-0.020865401,-0.008874941,0.013290974,-4.396271e-05,0.0017364015,-0.0049126586,0.021394182,0.002997615,-0.0039408454,-0.0110829575,-0.009282245,-0.02315202,0.013862629,0.014412846,-0.002518854,-0.007845962,0.0077745053,-0.018936066,-0.014977356,0.0035103178,-0.0075529893,-0.03044062,0.024223873,-0.031984087,-0.012261996,0.011804672,-0.020093666,0.03347039,-0.017392598,0.008839212,0.0075672804,0.01011829,-0.0055057504,0.017235393,-0.0063632326,0.017263975,0.004723298,0.0027993221,-0.0056522368,0.029697467,-0.0123120155,0.009875337,-0.02242316,0.0029583136,0.014520032,0.003969428,0.012204831,0.00038765342,6.157571e-05,0.01750693,-0.008096062,-0.012240559,0.011561719,-0.0067991195,0.0026171072,-0.027267935,-0.00461254,-0.0450464,0.0076673203,-0.029325891,0.012647863,0.015491845,0.017435472,-0.03221275,-0.019450555,-0.0049626785,0.012026188,0.03567126,-0.0025367183,0.0026939232,-0.013319557,0.002040093,0.03712898,0.0004787609,0.0072635887,-0.006559739,-0.009160768,0.03232708,0.0027582345,0.010089708,0.016520824,-0.020736778,-0.033956297,0.007881691,-0.0035424733,0.01564905,0.030097626,0.004626831,0.008910669,-0.022265954,0.006641914,0.0065704575,0.0018811016,0.015420388,0.01940768,0.0034585115,0.004423179,0.0010638139,0.023995211,0.005809442,-0.012111937,0.031212352,-0.01564905,0.0064311167,-0.032698654,0.009117894,-2.7982614e-05,-0.0048876484,-0.0058451705,0.0076030088,0.008003167,0.03149818,0.02022229,0.022151623,-0.0053664097,0.00052654766,0.010768548,-0.008817775,-0.0044374703,0.00419809,-0.024809819,-0.0042766924,-0.0015390019,-0.029783215,-0.006105988,-0.0019579178,-0.0029154394,0.0046804235,-0.011461679,0.021351308,-0.0015765168,0.020193705,-0.009510907,-0.009160768,0.016292162,0.018535906,0.013676842,-0.0067026527,-0.020565283,0.004541083,-0.010618488,-0.0015345359,0.030497784,0.0035639105,0.030497784,0.006499001,-0.0035389005,-0.0014827297,0.020994022,-0.026296122,-0.015677633,0.024738362,-0.013862629,0.0008414044,-0.012919399,0.0010638139,0.037357643,-0.0014782636,-0.019536303,-0.00793171,0.0057737133,-0.015663343,-0.015148852,0.0026081752,0.009996814,-0.011997606,0.0033745498,-0.00043097412,-0.010732819,0.0012120869,0.0043660137,0.009925357,-0.018707404,-0.034270708,-0.014005543,0.040301666,0.02826833,0.0018471596,-0.01157601,0.006917023,-0.0031708977,0.014562907,-0.011997606,-0.01919331,-0.0016899545,-0.005123456,0.006306067,-0.00553076,0.00022028807,-0.005405711,0.002222308,-0.0120904995,-0.0006895586,-0.016978148,0.0036264353,-0.019850714,-0.006695507,0.007953147,0.0021044041,0.008932106,0.025281433,0.013226663,0.021151228,0.015248892,-0.0036192895,-0.009453742,-0.013898358,0.008217538,0.0016390415,0.0143128075,0.0001300738,0.012912253,0.03055495,0.011011501,0.0018328682,-0.0022580365,0.01444143,0.00813179,-0.00059130543,-0.007517261,0.013891212,-0.013319557,-0.021680009,0.019321933,-0.002904721,-0.0097467145,0.006127425,0.02816829,-0.015420388,-0.021722883,0.02199442,0.00047429485,-0.0144271385,-0.008481928,-0.017035313,-0.050448537,-0.014877317,0.0053628366,0.036671657,0.0062739113,-0.018550199,0.0049305228,-0.04287411,-0.0030422756,-0.008288994,0.015391806,0.005462876,-0.0050091255,-0.014141311,0.013862629,0.011054375,0.033841964,0.0020704623,0.003947991,-0.005405711,0.011254454,-0.032184165,-0.0096323835,0.0017390811,-0.02419529,-0.010575614,-0.0015684778,-0.0008606085,-0.018707404,0.011683195,0.015820546,0.011868983,0.018207205,0.03870103,-0.01856449,0.025267143,-0.009317974,0.0015791964,0.0085248025,-0.010103999,-0.0050698635,0.009110749,0.0018078584,-0.018721694,-0.008196101,-0.016863817,0.010425555,0.008689153,0.023437846,-0.0033048794,0.011154414,0.032127,0.00035706096,0.016763777,0.012326307,-0.0134195965,0.010789985,-0.004837629,-7.0005386e-05,-0.0067633907,-0.011333057,-0.0034245695,-0.030211957,0.00630964,0.018335829,-0.0233521,0.011790381,-0.013441034,-0.023523595,0.015977751,0.004180226,-0.020593865,0.021451347,0.00027354577,0.004337431,-0.02961172,-0.029583136,0.001713178,0.020522408,0.0013764376,-0.0027242925,-0.012719319,-0.016949564,-0.02430962,0.020708196,-0.00071858795,-0.029068647,0.0049876883,-0.035814174,0.0010379108,0.026581949,0.013441034,-0.005673674,-0.019479137,-0.016663738,-0.0458753,-0.011883275,-0.024538282,0.012011897,0.019036105,0.026581949,0.04664703,0.0014336031,-0.012240559,0.0010745324,-0.0028296914,0.00560579,-0.004126633,0.010432701,-0.034327872,0.012647863,0.03172684,-0.009132186,-0.0058594616,-0.005673674,-0.009382284,0.013340994,-0.0060916967,-0.01626358,-0.0027743122,-0.018850317,0.0071814135,-0.0067062257,0.0019543448,0.03327031,0.0071992776,0.0040694675,0.024695488,0.009060728,0.03138385,0.005084155,0.022294538,-0.038929693,0.01866453,-0.011397367,0.004044458,-0.0074386583,-0.0019882869,-0.009460887,-0.028111124,0.0022937648,0.0021901524,0.006995626,0.008138935,-0.011661758,-0.01750693,-0.007170695,-0.01480586,-0.00036755617,-0.019850714,-0.0047625992,-0.020107958,-0.0067133713,-0.035814174,0.0264962,-0.0026528356,0.004337431,-0.008088916,0.02752518,-0.008867796,-0.008946397,-0.01940768,-0.032184165,0.040901903,-0.0006547234,0.015391806,0.018693112,0.017078187,-0.017263975,0.007081374,-0.0018328682,-0.019522011,-0.00097002677,0.024080958,0.014677237,-0.008617696,0.017606968,0.018764568,-0.0027546617,-0.027753841,0.01584913,0.0022133759,0.0029333038,-0.028153999,-0.019850714,-0.00980388,0.012719319,-0.02553868,0.004494636,0.0032995201,-0.013812609,-0.03921552,0.04110198,-0.032812987,0.021236977,0.011868983,-0.018021418,0.0071635493,-0.018478742,-0.015177435,0.02055099,0.0097538605,0.013884067,0.0078674,0.011018647,0.0016006335,-0.012169102,-0.011833254,-0.00279039,0.010918607,0.031869754,0.011618884,-0.007106384,0.010289786,-0.005963074,0.017035313,-0.008167518,-0.018693112,0.004726871,0.003472803,-0.009932502,0.0026349714,0.0012022615,0.00059175206,-0.00560579,0.008932106,0.0039337,-0.024895567,-0.008267557,-0.00054396526,-0.0017381879,-0.008017459,-0.029125813,-0.0062274644,0.008982127,0.0008972301,0.002722506,-0.0047125793,0.009117894,-0.038186543,0.014877317,-0.014891608,-0.0024027366,-0.0096323835,0.016592281,-0.023852296,-0.0019650634,0.005066291,0.0011709991,-0.016006334,-0.010625633,0.024967024,-0.00010110028,0.022265954,-0.012940836,0.020193705,0.0075887176,0.011847546,-0.0084104715,-0.01298371,0.005612936,0.004033739,0.011440242,0.019979335,0.014269933,0.0136482585,0.0012004751,0.027768133,0.012962272,0.007688757,0.014234205,-0.0125335315,0.041073397,-0.0028993618,-0.0029833235,0.005755849,0.0063275043,-0.0054878863,0.0037622033,0.010096853,-0.012604988,-0.00032222574,0.03369905,-0.008067478,0.021808632,0.0022365993,0.020065084,-0.057822883,-0.010875733,-0.0068169837,-0.023666508,-0.020479534,0.00813179,0.02022229,-0.016978148,-0.021937253,-0.0072814533,-0.0026313986,-0.033413224,-0.019321933,0.009246517,-0.0028011086,-0.013133769,-0.011361639,0.019764965,-0.010632779,0.0145343235,0.0043302854,-0.018550199,0.012497803,-0.0021222685,0.00023089495,-0.008224684,-0.031984087,-0.026624823,0.02919727,0.008867796,0.000568082,-0.00025456503,0.0013398159,0.015963461,-0.015477554,-0.015634758,0.01434139,0.0005796937,0.03055495,-0.01763555,-0.027911047,0.006770537,-0.003052994,-0.0036907464,-0.0066169044,0.003201267,0.018192913,0.009382284,-0.008331869,-0.026367579,-0.012376327,0.00633465,0.019522011,-0.022051584,0.013376722,0.013262392,0.0040944777,-0.016920982,0.0016872749,-0.007560135,-0.019522011,-0.0146486545,0.017063895,-0.029926129,-0.00049930473,-0.01016831,0.003604998,0.0063882424,0.04464624,0.0022919786,-0.01344818,0.005830879,0.002379513,0.033213146,-0.0048304833,-0.014470012,0.013405305,-0.018493034,-0.0042945566,-0.018307244,-0.0027832442,-0.015491845,-0.009496615,-0.0017524792,-0.025395764,-0.037043232,0.004444616,0.010354098,0.013848337,0.02035091,0.22980523,-0.019050397,-0.036442995,0.04244537,-0.00018958395,-0.021737173,-0.011961876,0.0020168696,-0.015134561,0.0061881635,0.005462876,-0.00912504,-0.0007605689,0.0032923743,-0.011711778,0.011883275,-0.044474743,-0.027768133,0.002710001,-0.010761402,0.030955108,0.016106375,-0.00980388,-0.013498199,0.022508908,0.007127821,-0.010511302,-0.0018051787,0.027625218,0.0031834028,-0.004673278,-0.015820546,0.004737589,0.016463658,-0.006080978,-0.0028386235,0.0072314334,-0.018535906,0.04358868,0.018292954,-0.0060202396,-0.014034126,0.008824921,-0.012919399,-0.0188789,-0.02190867,-0.002574233,0.0032548595,0.013162352,0.0085248025,-0.02356647,-0.015677633,0.014891608,0.0053628366,-0.0015863421,0.0020758216,0.027925337,0.014963064,0.0046697054,-0.006170299,0.0044553345,0.05882328,-0.023909463,0.016463658,-0.025981711,-0.018078584,-0.008067478,-0.047618847,0.024652613,0.012226267,0.028039668,-0.024738362,-0.0009432304,0.0106399255,-0.011854691,-0.01803571,-0.0008556958,0.020165123,0.021337016,0.019550594,0.0026974962,0.0012746116,-0.015777674,0.002827905,-0.0074386583,-0.03138385,0.009761006,0.005402138,-0.033441808,-0.0035639105,0.017907087,-0.00086775416,-0.03412779,0.004048031,0.018950356,0.015477554,-0.0069241687,0.01366255,-0.00075476296,-0.0039872923,-0.012469221,0.017035313,0.0067276624,0.018850317,-0.01907898,-0.007874545,-0.008703444,-0.012962272,0.006691934,-0.0019882869,-0.0033959867,-0.02326635,-0.006770537,0.002518854,-0.012176247,0.0076315915,-0.017406888,-0.027596636,0.009761006,0.007910273,-0.014791568,-0.0035942795,-0.001717644,0.017378306,-0.02023658,0.00086016185,-0.011375931,0.0018793152,0.010103999,-0.048476327,0.011490262,-0.024223873,-0.0013683987,-0.0046839966,0.010804276,0.011361639,0.0037264747,0.001403234,-0.021108354,0.010768548,-0.002015083,-0.023923753,0.018836025,-0.012454929,0.014920191,-0.005784432,0.0034745894,0.0107471105,-0.005723694,0.0058451705,-0.00061765517,-0.024752654,-0.01303373,0.008196101,0.028611323,-0.027539471,-0.03412779,-0.02742514,0.0107471105,-0.008331869,-0.031869754,-0.008932106,0.020179415,0.003617503,-0.03412779,-0.0121976845,-0.18750277,0.022680404,0.0065240106,-0.042502534,0.020922566,-0.0034674436,0.019093271,0.015663343,0.009575218,-0.001632789,0.008653425,0.0044910633,-0.024338204,-0.018435868,0.013791172,-0.015320349,0.007481532,0.019036105,0.021822922,0.0047947546,0.039272685,0.010547032,0.0029601,-0.0016756632,0.024080958,-0.0042588282,-0.0015077395,-0.0026867776,0.0059595015,0.0030136928,0.006981334,-0.00834616,0.027868172,-0.0033227436,0.012447784,-0.008339015,0.0016890613,0.016763777,-0.007874545,0.008660571,0.00032133254,0.049047984,0.029297309,0.015506136,-0.00086328806,-0.027582344,0.0054843132,-0.03232708,-0.013412451,-0.021365598,0.026653405,-0.012862233,0.012554969,-0.0018418003,0.028011085,0.010254058,0.011868983,-0.010032542,0.0010629207,-0.011897566,-0.0005292273,-0.03601425,0.0051877676,-0.010311224,-0.018221498,-0.019507721,-0.03161251,0.027510887,-0.0055664885,0.019550594,-0.015306057,0.008667716,-0.0026724862,0.008403325,0.023995211,0.008231829,-0.030726446,-0.006720517,0.026739154,-0.023909463,0.0005247613,0.015691925,-0.013233809,0.018307244,0.018007126,0.02002221,0.0077745053,-0.011497407,-0.01982213,-0.009918211,0.03369905,-0.022466034,-0.0006283737,-0.006992053,-0.016034918,0.013048021,0.004451762,0.0058487435,0.014491449,-0.0119761685,0.012926544,0.015820546,-0.020079374,0.035642676,0.018964648,-0.023938045,0.004062322,0.025681593,0.03181259,-0.015134561,-0.011461679,0.038843945,-0.011511698,0.014405701,-0.011204435,0.044046003,-0.013112332,-0.023666508,0.015577594,0.0377578,-0.0016131384,0.0073243272,0.014777277,0.012097645,-0.017021023,0.017492637,-0.095409185,-0.032727238,0.018507324,-0.009911065,-0.020293746,0.030840777,0.008646279,-0.00055781007,-0.014198476,0.018478742,0.0044088876,-0.028654197,-0.017321141,0.004112342,0.015577594,0.027568053,-0.021894379,-0.015763381,-0.0026974962,0.026467618,0.001077212,0.0054342933,0.0124192005,-0.002722506,-0.009282245,0.023537887,-0.0011924362,0.016049208,0.0011209793,-0.009203643,0.007109957,-0.0076387376,-0.029983295,-0.0245097,-0.010368389,-0.010911461,-0.003642513,-0.008624842,0.012612134,-0.032584324,0.0002764487,-0.025267143,0.028082542,-0.030326288,-0.000100876976,0.005112738,-0.024352495,0.006220319,0.008732027,-0.017964253,-0.0007520834,-0.0054843132,-0.017249685,-0.0015988471,0.026753444,-0.006741954,0.0057094023,0.0009619879,-0.018021418,-0.0049769697,-0.014662946,-0.020865401,-0.021036897,0.030669281,0.015806256,0.0016738768,-0.013040875,-0.027482305,0.009482324,-0.0058451705,0.012233413,0.01710677,-0.03878678,0.0002011957,-0.0136411125,-0.014877317,-0.0035639105,0.0006895586,0.021822922,-0.022923358,0.0045946757,-0.012512094,-0.001632789,-0.0024223872,0.020065084,0.016234996,0.019379098,0.007102811,-0.023309225,-0.053649805,-0.0069384603,-0.0001296272,0.018078584,-0.01261928,-0.027925337,0.026296122,-0.0011861838,-0.0010182601,0.019750673,0.007917419,-0.02055099,-0.00011248871,-0.056565244,0.00056584895,-0.0014514673,0.0046018213,-0.012962272,-0.01283365,-0.0023223476,-0.023652218,-0.01626358,0.017778464,-0.02596742,-0.010789985,0.0022312403,-0.0049090856,0.009317974,-0.0031048001,0.02022229,-0.004444616,0.011568864,-0.0018882473,-0.012583552,0.020422367,0.034585115,0.012869379,-0.016377911,0.028439827,-0.02253749,0.010025396,-0.0048269103,-0.0073386184,0.0027171466,-0.034756612,0.005044854,0.03501386,0.0044624805,-0.030526366,0.0041194875,0.013062312,0.03221275,0.005305671,-0.020693904,-0.023423556,0.00029565272,-0.0110829575,0.002802895,0.0032155584,-0.0060916967,0.0069134505,-0.0031441015,0.00225625,0.02752518,0.017692717,-0.009403721,-0.026324704,-0.011726069,-0.0051163104,0.005259224,-0.017035313,0.0013139128,-0.015906295,0.012147665,0.012862233,0.033441808,-0.018078584,-0.0011165133,0.0049876883,-0.0044767717,-0.009975377,0.040758986,-0.03601425,-0.0038479515,0.004158789,-0.0010423769,0.0111901425,0.0008865116,-0.017807048,-0.019764965,0.030497784,-0.0076387376,0.012404909,0.007917419,-0.010725673,-0.02157997,0.030926526,0.0063275043,-0.004809046,-0.01720681,0.012662154,0.010604197,-0.008196101,-0.02659624,0.012683591,0.017035313,0.0063668056,0.024838401,0.020779653,0.0023294934,-0.011325911,0.0264962,-0.012940836,0.021394182,0.010882879,-0.006577603,-0.007645883,0.0033852684,0.013598239,-0.011733215,-0.03204125,-0.008467637,-0.010511302,0.014219914,-0.0126693,0.030783612,0.021022605,-0.03715756,-0.005194913,-0.013591093,-0.007845962,-0.029583136,0.0072528706,0.0044910633,0.009310828,0.0024706207,0.022480326,0.028125416,0.026710572,0.014691529,-0.0015139921,0.027796715,-0.011904712,-0.027596636,0.0006591895,-0.002154424,0.00040685743,-0.01940768,-0.011718923,0.014084145,0.02972605,-0.048647825,0.07688757,0.023523595,-0.0132481,-0.00594521,0.008539094,0.03149818,0.008267557,0.00060738326,-0.015420388,-0.039872922,0.010697091,0.005155612,0.004648268,-0.029697467,-0.014098437,-0.019250475,-0.006177445,-0.001547934,-0.00032334225,-0.025581554,0.028196873,-0.009989668,0.0019471992,-0.009053583,-0.014863025,-0.010775693,0.04044458,-0.01992217,0.010053979,-0.054507285,0.00264569,0.014820151,-0.017764173,-0.024080958,0.015391806,-0.00943945,0.009175059,0.022351703,0.03004046,0.0060988422,0.006984907,0.015263183,-0.009332265,-0.021194102,-0.004405315,0.010739964,-0.016606573,0.0033548991,-0.021422764]', 'get all recipes', '{"mem_type": "recipe", "custom_id": "fe51cc88-4fc2-48dc-8d04-a38f3eea101f"}', 'fe51cc88-4fc2-48dc-8d04-a38f3eea101f', 'ec61b7f9-a7c6-4d69-930a-37b5fd2a8724'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.025336437,0.003081606,-0.0030288824,-0.021482157,-0.008566683,0.027983528,-0.0199259,0.015955266,0.009250272,-0.04436058,0.008944838,0.008697582,-0.0034288547,0.0024289237,-0.0031961435,0.017496977,-0.0043851524,-0.0012280972,0.004166986,-0.02273298,-0.031852353,0.0046069557,0.034179464,-0.0094029885,-0.003243413,-0.005428717,0.020129522,-0.030659707,0.0020525858,0.008188527,0.007854004,-0.02802716,-0.00017726052,-0.027314482,0.0046287724,-0.011155595,0.0001027202,-0.008901205,0.0081230765,-0.0021525791,0.0031416018,-0.009933861,-0.004494236,-0.018645989,0.013126369,0.012377329,0.014755348,-0.001894415,-0.01329363,0.026034571,0.010246567,0.018529633,-0.0020798568,-0.01456627,0.023881992,0.0068649817,0.0040469943,-0.013191819,-0.008028538,-0.020944012,0.012253702,-0.017642422,-0.021438524,0.013889953,-0.025205538,-0.020624034,-0.0036161146,-0.00442515,0.022223923,-0.0018053303,0.047240384,0.035750266,-0.018384188,-0.010639267,0.0170461,0.002757992,-0.02204939,-0.010566545,0.017831499,0.0017644239,0.029990662,-0.01740971,-0.0069486126,0.013664514,0.01851509,0.0027161767,0.0015898906,0.050905585,-0.0003265684,0.0036124785,0.024289237,0.019053234,0.03612842,0.0018816886,-0.008675766,0.010719262,-0.012042807,0.03342315,0.012173707,-0.011970085,-0.0016571586,-0.00024498312,-0.02348929,-0.012660947,-0.0398518,-0.02037678,-0.0092648165,0.015082598,0.03289955,-0.010115667,-0.032725018,0.016507953,-0.008864844,-0.024056526,0.0015971627,-0.032055974,0.006334109,0.009875683,-0.024085615,-0.03191053,0.017453343,0.019373212,-0.0032961366,-0.006814076,0.0047960333,0.020013167,-0.008952111,-0.03560482,0.019067777,-0.008835755,0.005621431,0.005770512,0.010050217,-0.0020653124,-0.026703615,0.0019180498,0.0033961297,0.019678645,-0.021104,-0.018500544,-0.0054432615,0.0125300465,0.01871871,-0.024347413,-0.012697307,0.042120736,0.012631858,-0.00084857794,0.0013944494,-0.03135784,0.01898051,-0.018006032,-0.001990772,-0.0037379244,-0.01018839,0.029685229,-0.004272433,0.0038433718,-0.0071813236,-0.012435507,-0.0190096,0.002050768,0.0068577095,0.011613745,0.032812286,0.035430286,-0.0041560773,-0.019053234,-0.00032497762,0.0060723093,0.009395717,0.012377329,-0.019576835,-0.0014317196,0.003465216,0.00012828661,-0.0008531231,0.024900103,-0.023562014,-0.02420197,-0.0027089044,0.019416844,0.006766807,-0.014129936,-0.022005757,-0.013468163,0.034412175,-0.013846319,0.010995607,-0.025918216,0.028768929,0.0117955515,-0.020551313,-0.0036724743,-0.6078418,-0.035168488,-0.013679058,-0.03164873,0.010282928,0.013722692,0.013446347,-0.005457806,-0.017395165,0.012915474,0.01982409,0.039270025,0.011162868,-0.034499444,-0.0057559675,-0.014580814,-0.02763446,0.0024216515,-0.0042942497,0.028230783,-0.013220908,-0.004432422,-0.002403471,-0.0066649956,0.024943737,-0.0031652367,0.043778803,-0.0011617382,-0.01502442,0.009184822,-0.015082598,0.002436196,-0.009053922,-0.02756174,0.047473095,-0.00617412,-0.03665202,0.0058068726,0.029990662,0.048985716,-0.028463494,-0.003981544,0.02577277,0.022645714,-0.027605372,0.021147635,-0.021176724,0.0031270573,0.0024471043,-0.05529801,0.0035415743,0.0013871772,-0.014733531,0.024492858,0.019067777,0.012617313,-0.0017253357,0.0075267544,0.009286633,0.013002741,0.01528622,0.0026161834,-0.036768377,-0.013693603,-0.007854004,0.026689071,-0.021423979,-0.011541024,0.02218029,-0.014638992,-0.017846044,0.014333558,-0.0023252943,-0.0026434544,0.02231119,0.009802962,0.0080649,-0.013962675,0.006708629,-0.0023343847,-0.000546326,-8.289202e-05,-0.024740115,0.007963088,0.0144353695,0.0057996004,-0.03246322,-0.0052614557,0.0001699883,0.006345018,0.018849611,0.0038106467,0.026965415,-0.02511827,-0.031997796,0.036244776,-0.0024343778,0.013039102,0.010232023,-0.009744784,-0.014638992,0.0011571931,-0.0096357,0.001987136,0.056316122,0.0018071483,-0.02658726,-0.0006013222,0.038222823,-0.020565856,-0.01596981,0.0048651197,-0.046135005,-0.013628152,0.018544178,-0.044447847,0.01123559,-0.0146535365,0.009090283,-0.0056032506,0.058817767,0.0015398939,0.03665202,0.002312568,0.0080139935,0.0071340543,0.021831224,-0.0023034778,-0.0090757385,-0.0003424764,-0.021889402,-0.0020034984,0.027154494,-0.02756174,0.013526341,0.004396061,0.0006454101,-0.009417533,-0.030950597,-0.030485174,-0.0066286344,0.0052614557,0.0114683015,-0.014682625,-0.00029611596,-0.026049115,-0.028128972,0.004101536,0.009904772,-0.004614228,-0.016827932,-0.018049667,0.003532484,0.031532373,0.028812561,-0.0023616555,0.040200867,-0.012610041,-0.009599339,-0.0007744921,-0.014682625,0.028768929,-0.013322719,-0.0038579162,0.021278534,-0.0049269334,-0.0032561393,0.025961848,0.0037342883,-0.0067886235,0.009097556,-0.012791846,-0.032346863,0.02139489,-0.015926177,0.016260698,-0.0062250257,-0.02037678,0.015606198,-0.013497252,-7.9369536e-05,0.027256304,-0.00957025,-0.023445658,0.026790882,0.0058250534,-0.0051923697,-0.005748695,0.0067704427,0.026863605,-0.022907514,0.015097142,-0.00072767714,0.004843303,0.010581089,0.021729413,-0.005875959,0.010624723,0.010108395,0.008464872,0.025947304,0.0076794713,-0.002598003,0.010748351,0.02965614,-0.05151645,0.019285945,-0.029597962,0.0023998348,-0.004530597,0.014479003,-0.046920404,-0.0015171682,-0.0073413127,0.0052032783,0.016115254,-0.01175919,0.0076212934,-0.028943462,-0.02580186,-0.00525782,0.001573528,0.03193962,0.010697445,-0.008544866,-0.03432491,0.01649341,0.009141189,-0.002218029,-0.010755623,-0.002016225,0.021351257,-0.0103265615,-0.0027198128,0.030165195,0.023314757,-0.0021143998,0.010821073,0.02103128,-0.0011826458,-0.0012999105,0.008224888,0.022791158,-0.013715419,-0.0056941533,0.012930019,0.019954989,0.0098975,-0.022369368,0.0179624,0.010159301,0.020391323,-0.00584687,0.015198953,0.011788279,0.0046433164,-5.7240377e-06,0.028463494,0.053523585,0.029059816,0.024536492,0.013242724,-0.0046978584,-0.010239295,-0.021700324,-0.023460202,-0.01594072,-0.008893933,-0.020827657,-0.0069413404,-0.005359631,0.0179624,0.010253839,-0.017467888,-0.008617588,-0.022543902,0.019125955,-0.008697582,0.03060153,0.0066977204,-0.035168488,-0.017598787,0.01924231,0.006526823,-0.0014471731,-0.01916959,-0.027910804,-0.0041233525,0.003937911,-0.0013580883,0.014035397,0.0020689485,0.029045273,-0.012210068,-0.012275518,0.0073994906,0.023052959,0.0030961505,-0.0179624,0.020129522,-0.019736823,-0.0047705807,-0.015344398,-0.028070794,0.029772496,-0.009788417,-0.0031252394,-0.010493822,-0.010115667,0.00021918945,-0.0043160664,-0.008901205,-0.018936878,0.03298682,-0.0079049105,0.0032906826,-0.04310976,-0.001060836,0.062366616,0.004777853,-0.008777577,-0.036681112,-0.028274417,0.019998623,0.003147056,0.020594945,0.005657792,-0.017206088,-0.022078479,-0.007635838,-0.03505213,-0.015766187,0.022093024,0.0047960333,-0.0047705807,0.019489568,0.0017235177,-0.009795689,0.024056526,-0.0035088493,-0.007701288,-0.034732156,-0.02527826,-0.013104552,0.0010144756,0.0068758903,-0.012471869,0.026121838,0.027808994,0.015533476,0.04628045,0.011228317,0.011330129,-0.023009324,-0.017206088,0.0036852008,0.0073158597,0.012893657,-0.015402576,0.016638855,0.015780732,0.009243,0.023751091,0.015053509,0.0019144136,0.0031361477,0.012355513,-0.021831224,0.028463494,0.00816671,-0.0021580332,0.008603044,-0.022223923,-0.0057996004,-0.0018262379,0.012828208,-0.010791984,-0.018995056,-0.0026143654,0.009941134,0.0033797673,-0.020202246,-0.00074267614,-0.0055014393,-0.012493685,0.0077885548,0.011635562,-0.01077744,-0.030717885,-0.0032561393,-0.04124807,-0.023620192,0.0063704704,0.010719262,-0.0039888164,-0.0097666,-0.025656415,0.016464321,0.03031064,0.027649006,0.022587536,-0.007701288,0.0012271883,-0.024841925,-0.032143243,-0.010057489,0.0011162867,-0.009955678,-0.010130212,-0.007933999,-0.009752056,-0.0103265615,-0.010559273,0.0068831625,0.01528622,-0.026485449,0.028012617,-0.008137621,-0.016187977,0.013395441,0.0058905035,0.015620743,0.008515777,-0.014260836,-0.0005649611,-0.025016459,-0.023722002,-0.000320887,0.02724176,-6.0052684e-05,-0.011897363,0.0074394876,-0.013606336,-0.024521947,0.014668081,-0.018922333,-0.0204495,-0.022136657,0.008770305,-0.007254046,-0.007933999,0.008726671,-0.018006032,-0.005017836,0.0069231596,0.02100219,0.014748075,-0.0076867435,-0.034499444,0.027256304,0.0059232283,-0.003345224,-0.020464046,-0.0036488397,-0.019678645,0.0084212385,-0.002118036,-0.005592342,-0.03220142,0.0037379244,-0.01257368,0.00027384478,0.0135117965,-0.023009324,-0.0068249847,-0.001733517,0.006777715,-0.018471455,0.011577385,-0.01649341,-0.01898051,0.020260423,0.006937704,0.014522636,0.012937291,-0.0011999174,-0.00019612286,-0.016740665,-0.02021679,-0.04278978,-0.030281551,0.01924231,0.017162455,0.016522499,0.0380192,0.041015357,0.0036252048,-0.0059486814,0.0019162317,0.0069449763,0.012297335,-0.017642422,-0.017453343,0.0049378416,0.014006308,-0.0048214863,-0.011177412,-0.011948268,0.011882818,0.010035672,-0.012908202,-0.020013167,0.02857985,-0.025060093,-0.011453757,-0.008472144,-0.012195524,-0.016449776,-0.042411625,0.018180566,0.028768929,-0.004876028,0.027605372,-0.016842477,0.01231188,-0.015242587,0.039735444,0.016537042,0.023751091,0.0028307142,0.017249722,-0.012435507,0.039328203,0.02792535,0.008784849,0.012908202,0.00046996764,0.0034470353,0.009053922,0.027489016,-0.013548158,0.028783472,-0.0161298,-0.004694222,0.005457806,-0.026034571,-0.032870464,-0.0027216307,0.014966242,-0.014020853,-0.0071449624,0.035808444,-0.020987645,-0.023314757,0.007664927,-0.0012808209,0.038455535,-0.011773734,0.02299478,0.016813388,-0.00089630194,-0.021045823,0.0010617451,-0.038979135,0.0054687145,0.036099333,0.044826005,-0.023620192,-0.020420412,-0.0035252117,0.010595634,0.01751152,-0.048927538,-0.0012053716,0.0068649817,0.018922333,-0.022951147,-0.003817919,-0.035866622,0.0059668617,-0.00066040904,-0.020420412,0.0060214037,0.0007899456,-0.011591929,0.00030543352,-0.046862226,0.013795414,-0.0109519735,-0.0048105777,0.014937153,-0.00060495833,-0.014428098,0.019111412,-0.008930294,0.0025161903,0.005657792,0.036622934,0.0027252669,0.0049742027,0.018849611,-0.01198463,0.014544453,0.039677266,-0.012406418,-0.0057668756,0.018689621,-0.0064468286,0.009192094,-0.012253702,-0.014748075,-0.01335908,0.004548778,0.004301522,0.011126506,-0.030717885,0.009984767,-0.017482432,0.00010567454,0.0057632397,-0.017351532,0.008268521,-0.0039124577,-0.035139397,-0.0061850287,0.010210206,0.011213773,0.017496977,0.04197529,-0.0002695269,-0.012260973,0.030194284,-0.024478314,0.025525514,0.019576835,-0.0039706356,-0.044273313,0.013322719,-0.023692913,0.0007422216,0.01348998,-0.036564756,-0.03563391,-0.011642834,0.0012626403,0.028652573,0.008683039,0.012304607,0.0022434818,0.021511246,-0.0017362441,-0.02949615,-0.022718435,0.00053087255,-0.048316672,0.018835066,0.0059486814,-0.020405868,-0.001572619,-0.023358392,-0.0069449763,0.024900103,-0.032346863,-0.015009875,-0.0033234076,0.02469648,-0.028419862,0.00026225467,-0.008275794,-0.020013167,-0.009184822,0.011955541,-0.0091557335,0.011730101,0.018413277,0.0057559675,-0.006610454,0.011781007,-0.02920526,-0.016173432,-0.009235728,-0.028347138,-0.0044796914,-0.015693465,0.019067777,0.026383638,0.020144068,-0.03144511,-0.030921508,-0.029336162,-0.03929911,-0.0063304733,0.0022071206,-0.0041560773,0.02430378,0.007290407,-0.0069886097,0.012791846,-0.017133366,0.003148874,-0.011206501,0.00034406723,0.017176999,-0.031096041,0.021613058,0.0041815303,-0.017787866,-0.030717885,0.016551588,0.024376502,0.030950597,0.029001638,0.0016326149,-0.018340556,-0.019664101,-0.0038760968,0.00023998348,0.0043633357,-0.005141464,-0.033597685,0.008283066,0.018995056,-0.0036688382,-0.014384464,-0.009293905,-0.01169374,-0.0054614423,-0.018995056,-0.0022362096,0.0018344191,0.0026925418,-0.0188787,0.010013856,0.013170002,-0.0069195237,0.041888025,0.01714791,0.013933586,-0.01528622,0.00023339302,-0.033394065,-0.021962125,-0.016973376,-0.016115254,0.01414448,-0.0113883065,0.008181254,-0.035255753,-0.004472419,0.000304979,-0.005170553,-0.016638855,0.012588224,0.015140776,-0.010072034,-0.028783472,-0.012879113,-0.011286495,-0.017075188,0.013002741,0.0020180428,-0.019227767,0.015402576,-0.029903395,-0.026805427,-0.01969319,0.0026798155,-0.013795414,0.012188251,0.04360427,0.18872882,0.008363061,0.0059014116,0.028361684,-0.022747524,0.010704718,-0.0014571723,0.01685702,0.015853453,0.017322443,-0.011242862,0.003665202,0.0063413815,0.0042215274,0.03694291,-0.0013344536,-0.036797468,-0.033917665,-0.016377054,-0.010086578,0.018166022,-0.0016444322,0.005046925,-0.011017423,0.019649556,-0.00930845,-0.028754383,0.02250027,0.025031004,0.026281826,-0.009846595,-0.00635229,0.012290062,0.013606336,-0.0040251776,-0.008028538,-0.01362088,0.008908478,0.026252737,0.0027252669,-0.022325736,-0.0006067764,0.0036542937,-0.00289071,0.009832051,-0.02100219,0.00770856,-0.020420412,0.00074949383,-0.0029452518,-0.027038138,-0.0098102335,0.0073922183,0.026761793,-0.008777577,-0.00295616,0.027678095,0.014173569,0.0074613043,0.011439213,-0.0016017079,0.047676716,-0.020245878,0.0006785896,0.004523325,0.033015907,-0.010072034,-0.025700048,0.011977357,-0.010573817,0.03935729,-0.010501095,-0.0174388,-0.01348998,-0.00623957,-0.023591103,0.026689071,0.02113309,0.023474747,0.021569423,0.01244278,-0.016435232,-0.001892597,1.9334607e-06,-0.012071896,-0.016653398,0.030426996,0.0011635562,-0.03714653,-0.003597934,0.009548433,-0.007290407,-0.013133641,0.014558997,0.012071896,-0.009017561,0.0052905446,0.021016734,-0.014551725,0.0037779217,-0.0015926176,0.047822163,0.016275242,-0.0034524896,0.0028088975,-0.0056141587,0.01084289,0.007032243,-0.004988747,-0.023954714,0.019809544,-0.057799656,-0.010886523,-0.012108257,-0.016013443,0.025685504,0.0120137185,-0.033044998,-0.017976943,0.025743682,-0.009432077,-0.029816128,-0.016798843,-0.005748695,-0.022674803,-0.004614228,-0.004588775,0.011861001,-0.015809821,-0.02753265,0.023271125,0.0049851113,0.035430286,-0.012457324,0.0024343778,0.018762344,0.004348791,-0.00085494114,-0.007064968,0.018195111,-0.0066686315,-0.0024943736,0.014675353,0.007377674,0.01630433,-0.0007185869,-0.00048633016,0.008348516,-0.025990937,-0.008152165,0.00042974314,-0.004654225,0.006166848,0.0025452792,0.040840823,-0.011075601,0.00029157082,-0.018776888,0.007977633,0.013729963,-0.01806421,0.023198402,0.022718435,0.015329854,-0.018849611,0.006425012,-0.1882634,-0.0020453136,0.024711026,-0.012246429,-0.013119097,0.009737511,0.032055974,-0.01231188,-0.0199259,-0.0075922045,-0.0030761517,0.018835066,-0.037786487,0.008828483,0.011788279,0.020594945,0.0044178776,0.02152579,0.03217233,0.01342453,0.032870464,-0.0016653399,0.02181668,-0.00842851,0.01175919,0.0065013706,-0.03988089,0.04334247,0.0003652021,-0.018645989,-0.012224613,-0.02257299,0.031241486,0.00058405066,0.00014317196,-0.022427546,-0.022645714,-0.0053087254,-0.017569698,0.019460479,-0.0025071,0.007188596,0.011810096,-0.006508643,-0.0013217272,0.00076358375,0.005770512,0.013344536,0.036099333,0.00661409,0.00442515,-0.03912458,0.0048905723,0.0011717374,0.021889402,0.00764311,0.015446209,0.037262887,0.003019792,0.0011699194,-0.022543902,0.004301522,0.0039633634,-0.012762757,-0.022965692,-0.027125405,-0.009781145,0.012500958,-0.0015298947,0.01675521,-0.026921783,-0.0057341508,0.003721562,-0.027430838,0.01502442,0.00617412,-0.029670684,0.015111687,0.04223709,0.014849886,-0.011402851,0.05160372,-0.01247914,-0.015664376,-0.0026816335,0.0033524963,-0.017642422,0.022587536,0.0066686315,-0.011948268,0.0019089595,-0.034993954,0.010290201,-0.014333558,0.028390773,0.01675521,-0.009286633,-0.002250754,0.010042945,-0.019547746,0.006450465,0.01806421,-0.030107018,0.0058323257,0.011897363,0.016246153,-0.021743957,0.010879251,0.03665202,0.008486688,-0.017133366,0.0007126782,0.028870739,0.010072034,-0.00086494046,0.028099883,0.027052682,-0.0055050757,-0.02632546,0.0017262448,0.021933036,0.0070395153,0.0020453136,-0.0010181117,-0.01806421,-0.026150927,-0.096458815,-0.0129663795,0.035284843,0.0002038496,-0.014420825,0.005839598,0.016042532,0.0086394055,-0.010675629,0.018413277,-0.01943139,-0.00062268437,0.0015689828,-0.0067522624,0.022529358,0.03083424,-0.0082321605,-0.009104827,0.016769754,0.04258616,-0.02168578,-0.027430838,0.025656415,-0.010035672,0.016609766,-0.010275656,-0.009286633,0.02338748,0.0041997107,0.029874306,0.024754658,-0.03534302,0.04252798,0.00026180016,0.0010335651,-0.0335686,-0.0055414364,-0.015998898,0.013191819,-0.037873756,0.0069231596,0.008159438,0.013068191,0.0076212934,-0.0017816955,-0.022878425,-0.014420825,-0.00040156324,0.003916094,-0.00744676,-0.002474375,-0.0062759314,0.011701012,0.0064831898,0.0042506163,-0.00071813236,0.015548021,0.0014235383,-0.0427316,0.0116064735,0.012951835,-0.014355375,-0.042673424,0.030426996,-0.0032252325,0.016071621,-0.034121286,-0.0021253082,0.016653398,-0.010173845,-0.059748612,0.0188787,-0.026238194,0.0069595207,-0.02551097,-0.022107568,0.0023943805,0.0019180498,0.023620192,5.8234627e-06,-0.031532373,-0.036564756,0.014966242,-0.017875133,0.01596981,0.008406694,-0.0059268647,0.012740941,0.013446347,-0.043138847,0.033917665,0.035662998,0.016391598,-0.016013443,0.0013580883,0.019751366,0.009184822,0.021016734,-0.042208,0.013744508,-0.048694827,0.013628152,-0.078423694,0.026936326,0.020333145,0.018544178,-0.019227767,-0.0012908202,0.008799394,-0.0161298,-0.013046375,-0.0058650505,-0.0033506784,0.012515502,-0.02322749,-0.005134192,-0.002985249,-0.005915956,0.0049596583,-0.015213498,0.012457324,0.011737374,0.007159507,0.005875959,0.019664101,-0.0027888988,-0.009722967,0.004585139,0.0046215,0.025787314,-0.0049923835,-0.017613333,0.021642147,-0.0012080986,-0.017715143,0.037321065,-0.0038433718,-0.006145031,-0.0044833277,0.0034470353,0.03060153,0.013300902,-0.012137346,-0.030339729,-0.0053741755,-0.014638992,0.006784987,-0.010573817,-0.0058832313,-0.017904222,-0.013191819,-0.017860588,0.023271125,0.020434957,-0.0062177535,-0.009773873,0.0047996696,-0.032114152,-0.0051087392,0.0058323257,0.02543825,-0.017467888,0.01077744,0.0072794985,0.014646264,0.002087129,-0.0026470905,-0.0046324083,-0.01969319,-0.0029343434,0.015664376,-0.02204939,-0.028230783,-0.019518657,0.018544178,0.008399421,-0.004654225,-0.025569148,0.019198678,0.0012480959,-0.013286358,0.0025216446,0.005170553,-0.027445383,-0.04060811,0.044884183,0.014951698,0.00996295,-0.018006032,0.02220938,-0.02561278,0.013308175,-0.025932759,-0.01130104,0.002799807,0.01368633,-0.018020578,0.0044215135,0.023576558,-0.019111412,-0.007094057,0.02286388,0.0057596033,-0.002438014,0.006432284,-0.02302387,-0.02700905,0.011751918,-0.0033797673,-0.027052682,0.009693878,-0.0032270504,-0.011068328,-0.026703615,-0.011417395,0.011322857,-0.035459377,-0.0058941394,-0.006545004,0.0028488948,-0.010581089,0.02936525,0.026747249,0.0017716961,-0.018427823,0.010726534,0.01916959,0.007795827,0.022805702,-0.009141189,0.0015698919,0.0067558982,0.014129936,0.00244165,0.003430673,-0.024638303,-0.02341657,0.0080939885,-0.006134123,0.015184409,0.0033997658,0.11513389,0.0044760555,-0.0143262865,-0.00068722543,-0.0155771095,0.0059559536,0.0060614008,0.005370539,0.000265209,-0.0398518,0.0335686,-0.004908753,-0.0066613597,-0.04156805,-0.013722692,-0.0057996004,-0.021118546,-0.009744784,-0.024361959,0.0016489774,-0.0008126713,-0.012202796,0.029321617,0.009170278,-0.025190992,-0.00023748365,0.017933311,-0.0013917224,-0.013315447,-0.018995056,0.0040688105,-0.0180933,0.00442515,-0.026340004,-0.0005990497,-0.005446898,-0.0010790166,-0.0032852283,0.022136657,0.00033634048,-0.009926589,0.0056687007,-0.022980236,-0.007032243,-0.0020853109,-0.0036997453,0.008835755,-0.012813663,-0.021336712]', 'plot a map of IPC phase data by admin_1 using HDX data as an image', '{"mem_type": "recipe", "custom_id": "4aa67e6e-deea-4fb0-aa31-7357b923c057"}', '4aa67e6e-deea-4fb0-aa31-7357b923c057', '6d6a37ca-95e6-4c7f-8177-a1b7e0b09e7a'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.022367993,-0.004861687,-0.013265559,-0.006643364,-0.0024449558,0.01982778,-0.014331038,-0.0022473836,0.0010751807,-0.017852057,0.01601746,0.031075278,0.021648265,0.00082336436,-0.002891257,0.023257066,0.0004789361,-0.02334174,0.009384679,-0.02092854,-0.022085747,0.004558272,0.023666322,-0.0015206,-0.0029230097,0.008446211,0.012023677,-0.030426113,-7.276654e-05,-0.0053168084,0.020434609,0.003655085,-0.0032140757,-0.026023077,-0.01773916,-0.0011625006,-0.007592416,0.0043113073,0.013632479,-0.006463432,0.018190753,-0.01627148,-0.00066989317,0.0015241281,-0.0058036824,0.009617532,0.019319737,-0.013131493,-0.024484836,0.032260716,0.022706687,0.020886201,-0.018289538,0.00083262555,0.024428386,0.01188961,0.001711116,-0.0069009135,-0.00481935,-0.030228542,-0.012849247,-0.0010487202,-0.009045984,0.0010310798,-0.022325655,-0.031837344,-0.018430661,-0.0032123118,0.02185995,0.009222387,0.020364046,0.03722824,-0.0054155947,-0.017964955,0.005052203,-0.0017234643,-0.022142196,-0.025754943,0.012503495,0.0063822865,0.028901985,-0.02819637,-0.010929975,0.012087183,0.024625959,0.009172994,0.009744542,0.038949944,-0.017428689,-0.012178913,0.004904024,0.008361537,0.022918371,0.0028242236,-0.0068762167,0.0010566583,-0.004844046,0.020237036,0.031696223,-0.026883926,0.00472762,0.0059059965,-0.031131728,-0.008248638,-0.032938104,0.015227169,0.0012992135,-0.0065904427,0.0016802454,-0.020801527,-0.0332768,0.015156607,0.009151826,-0.02105555,-0.015579976,-0.044284392,0.010153798,-0.021704715,-0.012341204,-0.014281645,-0.0022597318,0.012418821,-0.003323446,0.0065304656,0.008523828,0.025444472,-0.011409792,-0.05111474,0.012672843,-0.0056166947,0.0029671106,-0.007634753,0.0029406499,-0.012567,-0.023115942,0.04053052,-0.029438253,0.022113971,-0.020462833,-0.013187942,-0.010915862,0.025839616,0.024061467,0.00091641734,0.00015071494,0.026121862,0.0064175674,0.007260777,-0.0033393223,-0.026996825,0.0057331207,-0.0013292021,0.02032171,-0.0012013094,-0.013456075,0.01903749,-0.006929138,-0.005902468,-0.013815939,0.0015964536,-0.013653648,0.0072466647,0.019686656,0.023934456,0.015565864,0.03474448,-0.00491108,-0.015579976,-0.016313817,-0.0005763992,-0.00045247553,0.025529146,-0.007020868,-0.008552053,0.0061917705,0.01040782,-0.0017737394,0.011099323,-0.0269686,-0.0141334655,-0.02044872,0.006509297,0.032091368,0.0032775812,-0.02770244,-0.002136249,0.020759191,-0.036494404,0.006040063,-0.0029812227,0.010732403,-0.0022491475,-0.015763437,0.00010562172,-0.6281666,-0.01022436,-0.011409792,-0.0025313934,0.025980739,0.020759191,0.00800873,-0.0044700704,-0.053231586,0.024061467,0.015721101,0.03451868,-0.0010487202,-0.027885899,0.015015485,-0.025021102,-0.034462232,0.0018081381,-0.0030606044,0.035647664,0.008121627,-0.0057154805,0.0024273153,-0.008777849,0.006223523,-0.0007752943,0.009045984,-0.0010645965,0.0060365354,0.03228894,-0.018515335,-0.0063575897,0.0075571355,-0.008502659,0.038329,-0.016045684,-0.017273454,0.025345687,0.02297482,0.04115146,-0.022269206,0.008580278,0.0028736165,0.010577167,-0.00370095,0.02893021,-0.016525501,-0.018035518,0.008058122,-0.0288032,0.000121057055,-0.010097349,-0.008523828,-0.003175267,0.005345033,-0.013075043,0.0059624454,-0.0011483883,-0.0006910616,-0.0043748124,-0.019983014,0.0002020925,-0.033728395,-0.00397614,-0.0074371807,0.012051902,-0.026883926,-0.005062787,-0.00070870196,-0.00050583767,-0.004826406,0.015975121,-0.030341439,-0.026827477,0.028238708,0.0062270514,0.011092267,-0.022819584,-0.007112598,0.008262751,0.027631879,-0.011106378,-0.01614447,-0.0019827778,0.02365221,0.002838336,-0.049788184,-0.0010725347,0.008262751,0.0013177359,0.009081264,0.011692039,0.005747233,-0.02997452,-0.016991207,0.036917772,-0.007931111,0.018162528,0.011169884,-0.029889846,-0.015283618,0.011692039,-0.0028595042,-0.0039514434,0.040078927,0.016384378,-0.0068656327,-0.0027783588,0.03003097,-0.027180284,-0.021281347,0.0075641912,-0.030793034,-0.011586196,0.010259641,-0.031611547,0.009497576,0.012538776,0.020914426,-0.009300005,0.039091066,-0.0070067556,0.020533394,-0.023426414,0.01234826,0.013731265,0.01608802,0.0032652328,-0.0040537575,0.010167911,-0.0037538712,0.015509415,0.025345687,-0.029325355,0.022664351,-0.0040784543,0.0052744714,0.007366619,-0.030228542,-0.028901985,0.009652812,0.030200318,0.0043818685,0.0031170538,0.0012154217,-0.01909394,-0.0021503614,0.0028718526,-0.00982216,0.00749363,-0.016553726,-0.014352206,-0.0071866876,0.01608802,0.025317462,0.00083835865,0.018825807,-0.02118256,-0.0071090697,-0.02469652,-0.0047558444,0.012044846,-0.018557671,-0.0072325524,0.027857674,0.006819768,-0.0016317344,0.017061768,-0.00046835188,-0.014253421,0.011318063,-0.020886201,-0.046796378,0.026601681,-0.0057719294,0.013935894,-0.02861974,-0.030962382,0.015043709,-0.014048792,0.018981041,0.025331574,-0.006586915,-0.037764512,0.009800991,0.011565028,0.00509454,0.018698795,0.0012136577,0.02222687,-0.022805473,0.018783469,-0.00654105,0.005500268,-0.005701368,0.016906533,-0.023200616,0.016977094,0.02050517,0.021394243,0.03203492,0.013456075,0.0070561487,0.016059795,0.01804963,-0.030623686,0.0026725165,-0.028154034,-0.00538737,0.0065657464,0.01406996,-0.04298606,-0.0006756263,-0.010153798,-0.0041984087,0.0055108527,0.0071267104,-0.014860249,-0.030143868,-0.011162828,-0.00050936575,-0.02861974,0.030764809,-0.015156607,0.0056519755,-0.011445073,-2.7563083e-06,0.013075043,0.011346288,-0.01031609,0.0053238645,0.025105776,-0.024244927,0.016553726,0.033135675,0.005422651,0.012588169,0.0026372357,0.006364646,0.0021450694,0.027744778,0.0133714015,0.003367547,-0.0021962265,-0.008537941,0.0011898432,0.012468215,-0.0016423186,-0.0039408593,0.012870415,-0.0060965125,0.020618068,0.00057728123,0.0076982584,0.023878006,-0.0166384,-0.008382705,0.0004687929,0.039147515,0.024273152,0.016539615,-0.0066645322,0.009441128,0.0009984451,-0.0050874837,-0.015763437,-0.02160593,-0.0011210457,-0.015481191,-0.008544996,0.010527775,-0.016483165,0.0043254197,-0.01867057,-0.004773485,-0.026262986,0.020194698,-0.00047540801,0.016850084,0.014705014,-0.013357289,-0.014535666,0.029099558,0.007733539,-0.0014809092,-0.028789086,-0.018896367,0.017513363,-0.0020603957,0.013780658,0.0038279607,0.009194163,0.04414327,-0.01053483,-0.012376484,0.023398189,0.018091967,-0.009942114,-0.0057225367,0.018021405,-0.014606228,0.013766546,-0.015946897,-0.012355316,0.032796983,0.002552562,-0.007444237,-0.020081801,-0.023299403,-0.0024890567,0.008403874,-0.0030023912,-0.027208509,0.0031258739,-9.020019e-06,-0.0043712845,-0.01848711,0.0021732938,0.039373312,-0.008121627,0.009843328,-0.028676188,-0.04758667,0.0021468333,0.07033569,0.03688955,0.0043889247,-0.014020568,-0.015495303,0.007528911,-0.023398189,-0.0152130565,0.033107452,-0.0012189498,0.0059412774,-0.015876336,-0.004258386,0.005006338,0.009356454,-0.0027183816,-0.017710935,-0.014415712,0.011014649,0.00039205726,-0.014535666,-0.0013009775,0.0012930393,0.013314952,0.013921781,0.005249775,0.03192202,0.034857377,0.014119354,-0.008573221,-0.019926565,0.03494205,0.006170602,0.0055602454,-0.002369102,0.022085747,0.007874662,-0.008911916,0.016257368,0.0069185537,0.0069079697,0.00087099336,0.0035404225,-0.0069926432,0.0069608907,0.010746515,-0.0066786446,0.015509415,-0.0155940885,-0.0015276562,0.0059236367,-0.018218977,-0.028859649,0.012312979,-0.023200616,0.0022350352,-0.0017358126,-0.015283618,4.7573878e-05,-5.3637756e-05,-0.01940441,-0.008947197,0.029071333,-0.027561316,-0.0047452603,0.0038632415,-0.02500699,-0.030877708,-0.010386651,0.0051404047,-0.031696223,-0.021168448,-0.01989834,0.00703498,0.011035818,-0.0019721936,0.010986424,-0.0033446145,0.004540632,-0.02493643,-0.024767082,-0.0066221957,-0.0008595271,-0.00859439,-0.017837945,-0.012397653,0.00086217315,0.00767709,-0.013251447,0.034292884,0.024301376,-0.037623387,0.014077017,-0.02026526,-0.027617766,-0.011064042,0.010273754,0.013992343,0.01040782,0.004861687,0.0003887497,-0.02592429,-0.02167649,-0.019573757,-0.0003364901,0.013180885,0.009031871,0.009751598,-0.019926565,-0.010958199,0.02136602,-0.012136576,-0.030172093,-0.011445073,0.0041031507,-0.016779523,-0.011875498,-0.00046570582,-0.0063893427,0.013907669,0.013039763,0.012468215,-0.0028718526,-0.0030535483,-0.018007293,0.0075147985,-0.002900077,-0.03482915,-0.021323683,-0.008022842,-0.018473,0.025049327,-0.013300841,0.006170602,-0.030115644,-0.0045688567,-0.021210784,0.0011448602,-0.008439154,-0.027787114,-0.018656459,0.00227208,-0.016200919,-0.011402736,-0.013441963,-0.020491058,-0.027942348,0.010697122,-0.0021821142,7.993294e-06,-0.004071398,-0.015678763,-0.0077123707,-0.0127151795,-0.022480892,-0.040389396,-0.031047055,0.020674517,0.022015186,0.025077552,0.031442203,0.022664351,0.0191645,-0.012559945,0.016102133,-0.0076065282,0.0044665425,-0.0055461335,-0.023525199,-0.0052286065,0.020674517,0.015255393,0.0042936667,-0.023271179,0.0007153171,0.013166773,-0.0063752304,-0.014112297,0.0134843,-0.032740533,-0.008156909,0.024682408,-0.0040855105,-0.021295458,-0.04487711,-0.005934221,0.041377258,0.014105242,0.028633852,-0.0055743577,-0.00021444076,0.029692274,0.03787741,0.007973448,-0.0043607,0.0044594863,-0.0038702977,-0.027307296,0.008622615,0.027900012,0.0069961715,0.027434306,0.010090293,0.003799736,0.008128684,0.019983014,0.008093403,0.032627635,-0.0075077424,-0.024371937,-0.01225653,-0.02026526,-0.017287565,-0.0067456784,0.028083472,0.012849247,-0.02044872,0.01293392,-0.0014103479,-0.012383541,-0.0058177947,-0.012686956,0.037849184,-0.012863359,0.026827477,0.0047064517,0.028676188,-0.003842073,0.006830352,-0.023821557,0.010139686,0.024541285,0.042534467,-0.019051602,-0.003605692,-0.008036954,0.012856303,0.015833998,-0.028704412,0.014105242,0.029381804,0.013427851,-0.01040782,-0.013660704,-0.019559646,0.012193025,-0.0073877876,0.014077017,0.016666625,-0.015579976,-0.0043218913,0.0051756855,-0.052413072,0.03307923,-0.02310183,-0.012679899,0.011797881,0.028281044,-0.020730967,0.026799252,0.0012524665,0.013822995,0.0045124074,0.017118217,0.026023077,0.015819887,0.011656757,-0.0234123,-0.004964001,0.02997452,-0.0068162396,0.003979668,0.010605392,-9.812457e-05,0.008918973,0.0072466647,-0.023609873,-0.019065715,-0.012736348,-0.006414039,0.025642045,-0.025515033,-0.00445243,-0.023722772,6.0914408e-05,-0.016342042,-0.012298867,0.006601027,0.0019598454,-0.014606228,-0.0015876335,0.004590025,-0.0018716435,0.010492493,0.016073909,-0.011106378,0.01161442,0.028591515,-0.0052744714,0.026389996,0.014493329,0.0025684384,-0.041574832,0.004011421,-0.017583923,-0.0045088795,0.008121627,-0.017456913,-0.022833697,-0.005337977,-0.0023020688,0.020293485,0.0034081198,0.015368292,-0.0022032827,0.022847809,-0.005493212,-0.019079827,-0.020646293,0.0076206406,-0.025599707,0.0007603,0.0052180225,-0.015777549,0.03290988,-0.025148114,0.000901423,0.020857977,-0.017485138,-0.0037397589,0.02389212,0.015452966,-0.012270642,-0.005757817,-0.02702505,-0.010704178,-0.015368292,0.015255393,-0.009695149,0.005500268,0.027123835,0.0013847693,-0.026926264,-0.00075897697,-0.025515033,-0.02812581,-0.011727319,-0.005613167,-0.0147896875,-0.008312143,0.0016908296,0.022819584,0.035393644,-0.024851756,-0.028182259,-0.033446148,-0.013244391,-0.018515335,-0.0174428,0.011565028,0.031413976,0.014211084,-0.009010702,0.03211959,-0.0058707157,0.0033516707,-0.0047170357,0.002900077,0.019418523,-0.027758889,0.024484836,0.0009781587,0.0034822093,-0.009172994,0.008361537,0.010097349,0.041095015,0.038949944,-0.019249175,0.00936351,-0.007176103,0.0022367993,-0.0046500023,-0.0021397772,-0.017710935,-0.033756617,0.009906833,0.0059518614,0.0026107752,-0.03203492,-0.008509716,-0.022480892,-0.009292948,-0.028605627,-0.03734114,0.004731148,-0.026559344,-0.016342042,0.0038702977,-0.007063205,0.011064042,0.02081564,0.035704114,0.01590456,-0.015777549,0.02997452,-0.001279809,-0.029664049,-0.013801827,-0.008509716,0.012200081,-0.014140522,0.032881655,-0.005750761,0.0011466242,-0.014860249,-0.0010231417,-0.030087419,0.023736885,-0.00014509207,-0.014465105,-0.015424741,0.011113435,-0.0148038,0.007916999,0.0030535483,0.025458584,-0.039712008,0.007225496,-0.009067152,0.0072043277,-0.002317945,0.008086347,0.0058601312,-0.0027307298,0.0348856,0.20332998,0.011409792,0.003746815,0.02420259,-0.011515634,0.02451306,-0.0043712845,0.00646696,0.018797582,0.02081564,-0.0039479155,0.020688629,-0.001469443,-0.0025384496,0.010457213,-0.006985587,-0.03567589,-0.015721101,-0.03505495,-0.023750996,0.032514736,0.020857977,0.004688811,-0.02647467,0.017075881,0.0011263378,-0.005740177,0.0045653284,0.024047354,0.032994553,-0.015368292,-0.014521554,0.013202054,0.009610475,-0.0060577034,-0.0006399045,-0.007225496,0.0013556627,0.019983014,-0.022367993,-0.011056986,-0.011607365,0.021888174,-0.011621477,0.028605627,0.0012956854,0.015946897,-0.022001073,0.031780895,-0.0008780495,-0.0074654054,-0.011840218,0.0046041375,0.023863895,-0.013194998,-0.009434071,0.0333897,0.0008740804,-0.003272289,-0.015565864,-0.007267833,0.020589843,-0.002226215,-0.016666625,0.0028224597,0.008086347,-0.030002745,0.004688811,0.00692561,-0.021351907,0.019376185,-0.028055247,-0.029861622,-0.005535549,0.0025896067,-0.021168448,0.02370866,0.009229443,0.030087419,0.02493643,0.006978531,0.009010702,-0.005394426,-0.010344314,-0.013491357,-0.033671945,0.009278836,-0.0068091834,-0.03333325,0.0036303885,0.004646474,-0.014535666,-0.001090175,0.017019432,-0.007726483,-0.018854031,0.017075881,0.015735213,-0.010040901,0.0043642283,-0.011677926,0.040389396,0.0068479925,-0.0007505978,-0.012341204,-0.027434306,-0.009829216,-0.0051157083,-0.002123901,-0.018642345,0.002459068,-0.047078624,-0.0039549717,0.001756981,-0.014465105,0.018120192,1.1045905e-05,-0.033135675,0.007853494,-0.00017938053,0.006414039,-0.020293485,0.00083747663,-0.013350233,-0.033813067,-7.2490904e-05,0.0006002137,-0.009074208,-0.006788015,-0.035817012,0.015636427,-0.017174667,0.020519283,-0.010788852,0.009603419,0.014634453,0.00013561036,-0.0027571903,-0.0039973087,0.011621477,-0.009130657,0.0058566034,0.016723074,0.0048581585,0.023990905,-0.014733238,0.004022005,-0.0054685157,-0.025486808,-0.02149303,-0.0023250012,0.011515634,0.018642345,-0.016807748,0.037115343,-0.022579677,-0.0027571903,-0.02567027,0.007458349,0.026996825,-0.009419959,0.026008964,0.022833697,0.0043360037,-0.0166384,0.00026482609,-0.18221799,0.0032423004,0.035817012,-0.011416849,0.0002452012,0.0073313387,0.042619143,0.0029547622,-0.01108521,0.0034963216,-0.016398491,-0.0028753805,-0.038639475,0.02167649,0.010626561,0.030510787,-0.002266788,0.016624287,0.0057331207,0.023003044,0.037425816,-0.013526637,0.030341439,0.0070984857,0.009864497,-0.00859439,-0.034716252,0.04185708,-0.0021062605,-0.020081801,-0.011205165,-0.0071831592,0.018275427,-0.0014562127,-0.017555699,-0.021239009,-0.014916698,-0.018571785,-0.02229743,0.02217042,0.00945524,-0.0058142664,0.014055848,-0.011924891,-0.0022809003,0.028732637,-0.00019117753,0.009292948,0.0127575165,-0.0069361944,0.020053577,-0.04747377,0.023426414,-0.0027871788,0.02149303,0.020759191,0.016850084,0.020180587,-0.008799018,-0.016045684,-0.0041490155,-0.012376484,0.011198109,-0.030397888,-0.047050398,-0.005980086,-0.027448418,0.006452848,-0.012708124,0.03728469,0.005630807,0.0044700704,-5.107439e-05,-0.030482562,0.01529773,0.0076065282,-0.024710633,0.01780972,0.024682408,-0.0025737304,-0.00868612,0.025500922,-0.018868143,-0.006601027,-0.0034292883,-0.0070420364,0.0057260646,0.0058601312,-0.0008308615,-0.012785741,0.0077547077,-0.026728692,0.0061070966,-0.031837344,0.008086347,0.012193025,0.013110325,-0.01984189,0.038583025,0.0033992997,0.0065692742,0.010259641,-0.0012189498,0.01161442,0.018557671,0.007225496,-0.002222687,0.028464504,0.043550555,0.005447347,-0.035337195,0.011557971,0.021210784,-0.0003259059,0.00899659,0.029720498,0.029212456,0.0068056555,0.000354792,0.0023003046,0.031667996,0.014719127,0.00036934527,-0.019672545,0.004018477,-0.015975121,-0.093875,-0.015241281,0.017174667,-0.0034804454,0.013322009,0.01915039,-0.0047170357,0.0037785678,0.008552053,0.034236435,-0.027688328,-0.010598336,-0.0063223094,-0.009723374,0.040925667,0.027787114,-0.019870115,0.004773485,0.023863895,0.041433707,-0.0143663185,-0.026742803,0.0141334655,-0.01658195,0.011536803,-0.001570875,-0.0333897,0.031272855,0.019474972,0.03322035,0.020491058,-0.039768457,0.04236512,7.2105024e-05,-0.01081002,-0.033446148,-0.0071020136,-0.013343177,-0.0018187223,-0.06271505,0.013300841,0.01958787,0.041066788,-0.035704114,0.023130056,-0.027349632,-0.015424741,0.033446148,0.017880281,-0.010062069,-0.03751049,-0.008149852,-0.010421933,-8.7319844e-05,0.022833697,-0.002693685,-0.009737486,-0.0057684015,-0.052864667,-0.008544996,-0.018585896,-0.025077552,-0.029494701,0.028422168,0.005256831,0.026883926,-0.03223249,-0.0077547077,0.016370267,-0.0042830827,-0.039937805,0.02506344,-0.02013825,0.008192189,-0.030002745,5.8847177e-06,0.010252585,-0.009518745,0.030059194,-0.005105124,-0.01194606,-0.023623986,0.026629904,0.0008917208,0.025134,0.006230579,-0.007027924,0.02173294,-0.0025172813,-0.019347962,0.024950542,0.03745404,-0.0007682382,-0.010005619,-0.0062411637,0.018289538,0.007733539,0.013886501,-0.035196073,-0.0051439325,-0.04377635,-0.019362073,-0.071013086,0.033559047,0.012764573,0.0218035,-0.025232788,-0.0020568676,0.0059165806,-0.01817664,-0.01768271,-0.01958787,0.0043395315,0.002743078,-0.02310183,0.003039436,-0.0044700704,-0.0018769356,0.007260777,0.0002606365,0.030736584,-0.012736348,-0.008855468,-0.003229952,0.018825807,0.02222687,-0.0077758757,-0.011600308,0.006092984,0.011367455,-0.013230279,-0.020152362,0.03917574,0.0033851874,0.002651348,0.026601681,0.020829752,-0.025373911,-0.009554026,0.0033887154,0.023567537,-0.0057225367,-0.0022473836,-0.01909394,0.0008683473,-0.023482863,-0.009412903,0.007980505,-0.015043709,0.0048017097,0.011713207,-0.00030782452,0.00246436,0.007338395,-0.007719427,-0.017640373,0.006611611,-0.03290988,0.00017761649,0.011423904,0.02228332,-0.00018235734,0.005062787,0.035901688,0.031301077,0.0063928706,-0.009596363,-0.015862223,-0.001277163,-0.0012383541,0.023849782,-0.025896065,-0.022057522,-0.010471325,-0.0075571355,0.01590456,0.006459904,-0.016398491,0.016200919,0.0023973268,-0.0019527891,-0.018331876,0.0062517477,-0.018628234,-0.023115942,0.038695924,-0.003046492,0.01289864,-0.0061388495,0.011028761,-0.01157914,0.01053483,-0.026601681,-0.009702205,-0.015043709,-0.00529564,-0.014888474,0.024160253,6.642703e-05,-0.013928837,0.015198944,0.017654486,-0.0041419594,-0.0031258739,-0.01601746,-0.020307597,-0.02044872,0.024230814,0.0068056555,-0.013695985,0.0151283825,0.004445374,-0.016243255,0.0029371218,-0.010153798,0.026827477,-0.018120192,0.0058283787,0.014253421,3.8671005e-05,-0.002365574,0.019249175,0.023581648,0.017358126,-0.0010249057,-0.002698977,0.011191052,-0.012976257,0.0066715884,0.001898104,-0.00683388,0.013512525,0.0003750784,-0.0049463604,-0.0027554263,-0.026545232,-0.021845838,0.0068127117,-0.040389396,0.013844164,-0.015043709,0.104431,-0.001368893,-0.008834299,-0.00930706,-0.020745078,0.038978167,0.0036374447,0.006311725,-0.0024961128,-0.031047055,0.018289538,0.005260359,-0.033361472,-0.048885,-0.007924056,0.0065657464,-0.014521554,-0.0032687609,-0.012044846,-0.012729292,-0.0039055783,-0.0062341075,0.033502597,0.0125246635,-0.00896131,-0.006978531,0.0075077424,-0.00025975448,-0.030341439,-0.014048792,-0.0183601,0.0019968902,-0.0024537758,-0.016596062,0.006015367,0.0032475924,-0.020829752,-0.0017411046,0.010788852,0.009956227,-0.021323683,0.009554026,-0.005920109,-0.0014526846,-0.0031593905,0.0070314524,0.011268671,-0.019122165,-0.021380132]', 'plot a line chart of conflict events by month for Chad using HDX data as an image', '{"mem_type": "memory", "custom_id": "d6a8d3fa-9288-4643-a2b6-0a03a1e510cd"}', 'd6a8d3fa-9288-4643-a2b6-0a03a1e510cd', 'a2a85c48-10e7-4e61-b9d1-4b195a60dbf6'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.013806936,-0.010206665,0.00086647016,0.0075966446,-0.0012307414,0.00743396,-0.016876718,0.0062951706,-0.0041838135,-0.02607191,0.00030879054,0.036016867,0.014514259,-0.00059282477,-0.0038796642,0.011324234,0.019069418,-0.010178372,0.017202087,-0.01243473,-0.026496302,0.018729903,0.040487148,-0.012625707,-0.0029000225,0.005237724,0.015207435,-0.030584628,0.01160009,0.013835229,0.00903251,-0.011246429,-0.021714803,-0.027345091,-0.008049332,0.0010079347,-0.004006983,0.012349851,0.02706216,0.007405667,-0.0012059851,-0.012901563,0.005718703,-0.00019407163,0.004505645,0.009159828,0.03222562,0.002001723,-0.00901129,0.01333303,0.013290591,0.020031376,-0.008671775,-0.015745,0.03516808,0.030754386,0.017117208,-0.009082022,0.0069494443,-0.036073454,0.00507504,-0.017683065,-0.036356382,-0.006365903,-0.02379433,-0.0338949,-0.003006121,0.010970573,0.004194423,0.02129041,0.02718948,0.040487148,0.012484243,0.005174065,0.009301293,0.012293266,-0.02703387,-0.0077522555,0.025760688,0.0034570391,0.03089585,-0.01734355,0.004551621,0.014853774,0.026694354,-0.0149386525,-0.017046476,0.06377221,-0.010454228,-0.005534799,0.036214918,0.0067761503,0.008615189,0.0021697122,-0.0048769894,-0.0006785876,-0.016494764,0.038591523,0.0019380639,-0.025308002,0.0034641123,-0.013000589,-0.017683065,-0.011783994,-0.025251415,-0.00504321,0.009329585,-0.006044071,0.0026170937,-0.025732394,-0.023836771,0.028604124,-0.005736386,-0.03839347,0.0001690943,-0.021276264,0.019946497,-0.0039256406,-0.023087008,-0.029085103,0.015674269,0.010383496,0.011522285,-0.01423133,0.0035330763,0.01247717,-0.00012853378,-0.008127137,0.014195964,-0.015745,-0.0042934483,0.011791067,0.018149897,0.008289821,-0.022973837,0.044023756,-0.031886104,0.021417728,-0.010362276,-0.028490953,0.013580593,0.01850356,0.017654773,-0.0017046473,-0.0069742007,0.028589979,0.010305691,0.027175333,9.6538475e-05,-0.024558239,0.0075471317,-0.02423287,0.010510814,-0.0048380867,-0.009414464,-0.0017665381,-0.013552301,0.012710586,-0.01738599,0.006836273,-0.020342598,-0.015023531,0.008410065,0.012363998,0.019875765,0.03692224,-0.0065781,-0.021615777,-0.00016191056,-0.00016599978,0.0018761731,0.032112446,-0.012929857,-0.0015976648,0.013170346,0.016325006,-0.016424032,0.017088914,-0.022266515,-0.010093493,-0.020314306,0.031037314,0.040402267,0.024685558,0.004951258,-0.005863704,0.019324053,-0.011034232,-0.011974971,-0.03341392,0.024176285,0.003900884,0.0034234412,0.010114714,-0.63466644,-0.023242619,0.005124552,-0.017697211,0.017004035,0.02786851,0.018545998,0.0028416684,-0.02885876,0.014316209,0.010807889,0.036101747,-0.016650375,-0.04532523,0.00034879844,-0.025336294,-0.025987031,-0.00039919518,-0.024445068,0.04328814,-0.0053332127,0.025293855,0.0004907051,0.009527636,0.014280843,0.022535296,0.023355791,0.008445432,0.024685558,0.017555747,-0.0043075946,0.0025003855,0.0038973473,-0.004555158,0.038308594,-0.02320018,-0.014351575,0.014896213,0.04113788,0.05412432,-0.02499678,0.007112128,0.03893104,0.022903105,-0.018390387,0.020710407,-0.010093493,0.013637179,0.008070551,-0.036554433,0.006903468,0.012576195,-0.030443164,0.007624937,0.015773294,-0.01631086,0.016353298,-0.015504511,0.009336659,0.0052872365,0.0008372931,-0.02056894,-0.02973584,-0.0068610287,-0.0043924735,0.019960644,-0.012859124,0.02267676,0.008013966,-0.023058716,0.011020086,0.020257719,-0.01133838,0.0056019947,0.02137529,0.012484243,0.019776741,-0.015787441,0.004707232,0.021573339,-0.0038867376,-0.014641577,-0.021771388,0.014167671,-0.0006785876,0.0019522103,-0.024940193,0.0015799818,0.0041519837,0.0032360007,0.003531308,0.0133754695,-0.0035525276,-0.03935543,-0.017810384,0.036384676,-0.023865063,0.008990071,0.014061573,-0.028759735,-0.017852822,0.009407391,0.006924688,0.0090537295,0.031631466,0.033357333,-0.007681523,0.010503741,0.02328506,-0.023186034,-0.018121606,-0.004296985,-0.031207072,-0.018347949,0.02344067,-0.03593199,0.021941146,0.014783042,-0.006921151,0.009739832,0.034319293,0.001806325,0.029707547,-0.011147403,0.017258672,0.012321559,0.018206485,0.00099202,0.0013545227,-0.017739652,0.010114714,0.0092800725,0.015688416,-0.033611972,0.0065993196,-0.007624937,0.0050290637,-0.014754749,-0.018234776,-0.024091406,-0.016749399,0.0045657675,0.007250056,-0.005513579,-0.010553254,-0.020158695,0.0009875993,0.008926411,0.017272819,-0.0035755155,-0.020526502,-0.008141283,-0.023101155,-0.004371254,0.010892767,0.0018602584,0.019776741,-0.01491036,0.011883019,-0.008629336,-0.005266017,0.011260575,-0.0010901609,0.0054569934,0.009478123,-0.0065002944,-0.009506416,0.033017818,-0.00069140777,-0.0076037175,-0.00031475857,-0.032480255,-0.008947631,0.040175926,-0.0011140332,0.03321587,-0.024968486,-0.00016522614,0.008176649,-0.03680907,0.029169982,0.0022987984,-0.014584991,-0.010822035,0.0077876216,0.0062138285,-0.02021528,0.008997143,0.010574473,0.023822624,-0.023850916,0.016155249,-0.02133285,0.02247871,0.005156382,0.014478893,-0.024798729,0.007646157,-0.009853004,-0.00042549873,0.029594377,0.010843255,-0.0131844925,0.013637179,0.03723346,-0.028321195,-0.0025463614,-0.028689003,-0.011168623,0.027755337,0.021927,-0.036780775,-0.0065710265,-0.0046930853,0.008388846,0.00769567,-0.0027019721,-0.013927181,-0.021870414,-0.021615777,-0.0028239852,-0.01425255,0.029594377,-0.0063517564,-0.0042757653,-0.012413511,-0.0044914987,0.0033544772,-0.0077027427,-0.022535296,-0.0039150305,0.016367445,-0.004265155,0.005357968,0.033753436,-0.007575425,0.00092128763,0.004816867,0.023709452,0.013255225,-0.009301293,0.0059308996,0.009414464,-0.010489594,-0.031009022,-0.0038584445,0.023822624,0.011861799,-0.028420221,0.022422126,0.015787441,0.016339153,-0.009520562,-0.0030786213,0.011868873,-0.01074423,0.008919338,0.0055560186,0.038648106,0.02117724,0.035903696,-0.013524007,0.012887417,0.0049300385,-0.019210882,-0.012859124,-0.0338949,0.0036055767,-0.016240127,0.011493991,-0.006235048,-0.0060582175,0.0055878484,-0.017654773,0.00121129,-0.012420584,0.038648106,-0.0036197233,0.0039114943,0.0030255723,-0.029396325,-0.022308953,0.030245112,0.013651325,-0.0051988214,-0.04651353,-0.01694745,-0.008954705,-0.0048946724,0.006648832,0.023497256,0.005853094,0.023836771,-0.0111191105,-0.006217365,0.007822989,0.030103648,-0.0038938108,0.00069184985,0.015844027,0.0006250964,0.003975153,0.0006242122,-0.025661662,0.028391927,-0.0004531285,-0.0037700294,-0.012448877,-0.00033907275,0.004937112,0.009853004,-0.002348311,-0.03304611,0.0036497845,-0.021276264,0.0070095668,-0.0113596,0.009520562,0.008990071,0.01353108,0.0061749257,-0.038846157,-0.02798168,0.019012831,0.042156428,0.04119447,0.022337247,-0.022252368,0.0049618683,0.0021325776,-0.018277217,-0.013382543,0.009350805,0.017725505,0.012066923,0.014995239,0.016098663,-0.006192609,0.013842302,-0.015193289,-0.024558239,-0.021545045,0.00507504,0.00417674,-0.01841868,0.0010892769,0.012795465,0.0032589887,0.02499678,-0.0024155066,0.03225391,0.042439356,0.006411879,-0.008077624,-0.018843075,0.018800635,-0.0114656985,0.023228472,-0.018843075,0.008296894,0.015858173,-0.010977646,0.024105553,0.011812286,0.015617683,0.003006121,-0.00057867833,0.0014075718,0.0140545,0.010355203,-0.01870161,0.021997731,-0.01510841,-0.010715936,0.009591294,-0.008141283,-0.013446202,-0.00021076002,-0.010730083,-0.013870596,-0.008120064,-0.019295761,-0.017371843,-0.0007798231,-0.031886104,-0.017895263,0.038025662,-0.020399185,-0.018956246,0.014068645,-0.022040172,-0.012873271,-0.021530898,0.0027956923,-0.008975924,-0.028151438,-0.010666425,0.006528587,-0.0060546813,0.019861618,0.0073773745,-0.0060405345,0.0063446835,-0.0037205168,-0.022577737,-0.0025799593,-0.0001968346,-0.013524007,-0.011366674,-0.007766402,-0.004710769,-0.022945544,0.002266969,0.022252368,-0.0049583316,-0.025407026,0.008197869,-0.02140358,-0.030188527,-0.015801588,-0.005527726,0.021191385,-0.0013359556,-0.008049332,-0.004714305,-0.018758196,-0.026680207,-0.02475629,0.023256766,-0.0155469505,-0.013170346,0.0031935615,0.006411879,0.0035684423,0.026326546,-0.008105917,-0.017598186,-0.0062774876,0.022450417,0.010602766,0.029311446,0.012689367,-0.026411425,0.00505382,-0.010574473,0.03412124,-0.006185536,-0.010843255,-0.01718794,0.0061572427,-6.691935e-05,-0.014457673,-0.02786851,-0.016183542,-0.010022761,0.013538154,0.0009557696,-0.025506051,-0.014443527,0.014273769,-0.024077259,0.004296985,-0.007589571,-0.03437588,-0.031574883,0.0047885743,-0.0014491271,-0.016678667,0.010433009,-0.024841169,-0.012356925,-0.008296894,0.012363998,0.02607191,0.011479845,-0.015603536,-0.013234005,-0.00879202,-0.016650375,-0.033017818,-0.011253502,0.028971933,0.020795286,0.023766037,0.036186624,0.025675809,0.028448513,-0.0039468603,0.0113100875,0.0029689865,-0.003485332,0.0057965084,-0.016141102,0.016834278,0.0054357736,0.0006936182,-0.0044278395,-0.0039291773,-0.010249104,0.016296713,-0.005754069,-0.021304557,0.016296713,-0.027882656,-0.0003722285,0.016155249,-0.016169395,0.00767445,-0.043655947,-0.01177692,0.03233879,-0.0009911358,0.021262119,0.028731443,0.015844027,0.013071321,0.01447182,0.007076762,-0.008990071,0.0126469275,-0.014811334,-0.012102289,-0.005280163,0.033357333,-0.004572841,0.01622598,-0.00091333024,0.0021661755,0.006100657,0.0023465427,-0.012088142,0.023949942,0.0096266605,-0.0053862613,-0.021743095,-0.03417783,-0.024614826,-0.0077239624,0.025293855,0.010404715,-0.023822624,0.010574473,-0.017994286,-0.025506051,0.0023730674,0.0026807524,0.036101747,-0.0040635685,0.035875402,0.015363046,0.00051767175,-0.020993335,0.006613466,-0.014167671,0.00014444854,0.012965223,0.049173065,-0.024600679,-0.040770076,-0.01758404,0.009980322,0.0065887095,-0.034998324,-0.0016816594,0.004915892,0.0032342323,-0.024558239,-0.0073207887,-0.039892994,0.012448877,-0.005754069,-0.00881324,0.020158695,-0.01184058,0.0015048287,0.019833326,-0.045947675,0.036695898,-0.0094710495,-0.011529358,-0.00081828376,-0.009202267,-0.029000225,0.01885722,0.019776741,0.0075966446,0.0068787117,0.041533984,0.026496302,-0.008176649,0.019479664,-0.008466652,0.0058990703,0.033130992,-0.020724552,0.0034287462,0.017881116,-0.01802258,0.0019115392,-0.0031723417,-0.013920108,-0.01335425,-0.016056223,-0.034913443,0.011932531,-0.012795465,0.0025392883,0.003513625,-0.0048486963,-0.010270325,-0.018942099,-0.007044933,0.012710586,-0.024445068,-0.012031557,0.011706188,-0.0014986397,0.013212785,0.01841868,-0.009393244,-0.00085718656,0.027274357,-0.03358368,0.020512355,0.013714985,0.003865518,-0.019026978,0.0036603943,-0.027104601,0.0018903195,0.0010052823,-0.024926048,-0.03143342,-0.03878957,-0.005683337,0.018913807,0.0306978,0.009527636,0.008912265,0.018248923,-0.0043606437,-0.012979369,-0.004420766,0.012965223,-0.03197098,-0.0060971202,-0.0055772383,-0.018079165,0.026878258,-0.023850916,-0.00091156195,-0.0039999094,-0.0022475177,-0.013898889,-0.011041305,0.030245112,-0.009775198,0.017159646,-0.0153206065,-0.020484064,-0.010822035,0.023186034,-0.004770891,-0.012250827,0.028420221,0.0012210157,-0.022973837,0.004056495,-0.020399185,-0.035479303,-0.0068185893,0.019451372,0.010998866,-0.010666425,-0.0031228291,0.0048204036,0.03935543,-0.04631548,-0.01874405,-0.009506416,-0.04727744,-0.019691862,-0.024190431,-0.0017665381,0.017810384,0.013509861,-0.019309908,0.029085103,-0.011925458,0.019691862,0.0022828837,0.006525051,0.0012890955,-0.019649422,0.029594377,-0.0050644297,-0.006457855,-0.017810384,0.0070095668,0.020399185,0.024671411,0.023115302,-0.0075471317,0.0069742007,-0.030754386,0.0054534567,-0.013580593,0.008586897,-0.019408932,-0.015264021,-0.006988347,0.001506597,0.0012130582,-0.015334753,-0.014408161,-0.0060688276,-0.011027158,-0.023299204,-0.024614826,-0.00879202,0.008183722,-0.01571671,-0.005375651,0.0055949213,0.006231512,0.0394686,0.025873858,-0.006231512,-0.022351393,-0.005545409,-0.02866071,-0.01922503,-0.013226932,-0.015730854,0.020866018,-0.01679184,0.029452913,-0.015603536,0.014266696,-0.017272819,-0.02822217,-0.039581772,0.021941146,-0.0062138285,-0.015363046,-0.020186987,0.005361505,-0.015928905,-0.019833326,0.015278167,0.026170935,-0.032904647,0.0038407615,-0.0149386525,-0.0010928134,0.011960824,0.008176649,-0.026298253,-0.011112037,0.046258897,0.18548827,0.0129935155,-0.0051882113,0.031348538,0.0055595553,0.013142053,-0.01034813,0.00588846,-0.0046754023,0.018630877,-0.0054499204,0.02256359,-0.00023827929,0.0010503741,0.005142235,0.018050874,-0.042411063,-0.036780775,-0.012583269,-0.036214918,0.02320018,0.012802538,-0.013474495,-0.02618508,0.02093675,-0.002560508,-0.028872907,-0.002590569,0.030867556,-0.0010008615,-0.009082022,-0.024445068,0.010843255,0.02914169,-0.007964453,-0.0020777602,-0.012816685,0.008013966,0.027585581,-0.014981092,-0.0047744275,-0.011875946,0.00791494,-0.004541011,-0.004403083,0.015334753,-0.003340331,-0.020370891,0.0066382224,-0.004915892,-0.028788028,-0.011366674,0.009237633,0.0049583316,-0.014485966,0.0014066878,0.028887054,0.0040812516,0.007830061,0.0068009063,-0.011232282,0.025689956,-0.018772341,0.006528587,-0.0066240756,0.005715166,-0.02133285,0.014684017,0.009718613,-0.0043252776,0.014104012,-0.024247017,-0.012151802,0.0015693719,-0.0116566755,-0.0137574235,0.006907005,0.0055489456,0.022747494,0.034998324,-0.0033633187,-0.0019380639,-0.006549807,-0.0014968714,-0.009237633,-0.024671411,0.021262119,-0.0029707546,-0.018446974,0.0025817275,-0.0018425753,-0.014464746,-0.033923194,0.022846518,-0.004795647,-0.0016312627,0.01201741,0.004926502,-0.0026082522,0.0038407615,-0.011762775,0.055991653,-0.000906257,0.0023748358,-0.005821265,-0.01670696,-0.031235365,0.013785717,0.026977282,-0.027656313,0.0029477668,-0.030924143,0.008275675,-0.0005972455,-0.014514259,0.01598549,0.010631059,-0.021827973,-0.0042085694,0.018560145,-0.006730174,-0.021516751,-0.003556064,0.015292314,-0.022577737,-0.01622598,-0.021021629,-0.013340103,-0.013686691,-0.036384676,0.010468375,-0.022507004,0.0034570391,-0.003566674,0.020837724,0.02276164,0.0018160507,-0.015490364,-0.015051824,0.0026559965,-0.0140545,-0.008190796,-0.0018284288,-0.016636228,0.010206665,-0.0051316256,-0.013403762,0.017371843,-0.021064067,-0.029056812,-0.0011432102,-0.007582498,0.00033973585,-0.01738599,0.021021629,-0.02762802,-0.007837134,-0.027005576,0.027246065,-0.018814782,-0.013057174,0.03225391,0.017074768,-0.0005503854,-0.012972296,0.0013129676,-0.18311167,0.012908637,0.019126004,-0.015603536,0.023978235,0.00069406023,0.03924226,0.010609839,-0.010779596,-0.004441986,-0.022874812,-0.0056090676,-0.04891843,0.011444479,0.021460166,0.0009663795,0.010065201,0.017640626,0.021615777,0.019649422,0.03983641,0.0019663568,0.023384083,-0.0026011788,0.0027974606,0.008091771,-0.027684605,0.04258082,0.009039583,-0.0041555203,-0.013142053,-0.010496668,0.021658216,-0.005375651,-0.018135753,-0.020314306,-0.009272999,-0.022139195,-0.011345454,0.02462897,0.013587667,0.0064366353,0.0077239624,-0.002134346,-0.008466652,0.020356745,0.012668147,-0.02368116,0.02168651,-0.009152754,0.025803126,-0.023709452,0.034149535,0.0088627525,0.014485966,0.014684017,-0.0037063702,-0.00023827929,0.010171299,0.0051493086,-0.0073773745,-0.030556334,0.008367627,-0.008968851,-0.027048014,-0.044108633,-0.041335933,0.004731988,-0.008820313,0.0057788254,-0.008212016,-0.010652279,-0.0011096123,-0.013311811,0.009485196,0.021743095,-0.02539288,-0.002371299,0.018192338,0.00039742686,-0.005209431,0.033753436,-0.016211834,-0.0037523462,0.007851281,-0.029566083,0.009393244,0.0036321015,0.007161641,-0.0049866242,-0.0034092946,0.008311041,0.0065993196,-0.037544683,-0.0001041643,0.024982633,0.00054331217,-0.011585943,0.030443164,-4.2273576e-05,-0.00903251,-0.004862843,-0.029481204,0.027175333,0.022874812,0.026920697,-0.031631466,0.028391927,0.040091045,0.0017453184,-0.027090454,0.00395747,0.011875946,0.0052412604,0.0008479029,0.030443164,0.013934255,0.002908864,0.0011874179,0.0077876216,0.011232282,-0.014924507,-0.002549898,0.011854726,-0.03165976,-0.01806502,-0.097044654,-0.0155469505,0.009407391,0.013870596,-0.008735434,0.015773294,-0.0076603033,-0.010532034,-0.006394196,0.027500702,-0.009138608,-0.019988937,-0.0055843117,-0.006988347,0.027896803,0.037290048,-0.0024738607,-0.0082544545,0.011303014,0.037629563,-0.006111267,-0.03245196,0.0071298117,-0.017838676,-0.003191793,0.018885514,-0.030329991,0.021460166,0.0029795964,0.038223714,0.019988937,-0.012661074,0.03381002,-0.020370891,-0.0036055767,-0.02276164,-0.0011962594,-0.006532124,-0.007540059,-0.05321895,0.013863523,0.02738753,0.030047063,0.0025233733,-0.008763727,-0.026086057,-0.018828928,0.025689956,0.010461302,-0.005266017,-0.0034959419,-0.008685921,0.015419632,-0.017456722,0.017725505,-0.009393244,-0.0055418722,0.006026388,-0.020781139,0.006889322,0.0031758782,-9.622074e-06,-0.04846574,0.019550396,0.00054242805,0.008629336,-0.040939834,-0.009994469,0.014966945,-0.012279119,-0.03652614,0.03584711,-0.02523727,0.00021363352,-0.018588439,0.005025527,-0.014294989,0.014224256,0.026581181,-0.008784947,-0.020045523,-0.036186624,-0.0016798911,-0.00529431,0.0106169125,0.011295941,-0.006641759,0.01914015,-0.0011158014,-0.03545101,0.030188527,0.0303017,0.01052496,-0.0006144865,-0.00990959,0.030386578,0.008905192,0.009046656,-0.0019044661,-0.00053579686,-0.032876354,0.009959103,-0.071750805,0.020116255,0.03078268,0.0130288815,-0.00395747,0.0035825889,0.011472772,0.0016356835,-0.010242032,0.00853031,-0.0063093174,0.018362096,-0.022110904,0.0010379959,-0.010114714,-0.03536613,0.02005967,-0.0023836773,0.044617906,0.017711358,0.0015021763,0.00020799704,0.019762594,0.022153342,-0.0068256627,0.006111267,0.016339153,0.024402628,-0.00028911812,-0.008657629,0.039440308,0.0018010201,-0.010906913,0.020484064,-0.0060582175,-0.028533392,-0.013700838,-0.0057116295,0.043118384,0.0053084563,-0.014768895,-0.010899841,-0.009336659,-0.020597234,-0.004091861,-0.016042076,-0.0150942635,-0.01181936,0.02690655,0.005838948,0.018517707,0.005082113,0.002618862,-0.006723101,-0.0069742007,-0.021785535,0.020639675,0.00656749,0.026439717,-0.026722647,0.0069140783,0.0029919744,0.011593017,0.00115382,-0.0018072091,-0.022054316,-9.8527824e-05,0.0021927,0.017513309,-0.018998686,-0.025491904,-0.001506597,-0.00061050785,0.008091771,0.009485196,-0.009676173,0.0023677624,-0.011783994,0.010623986,0.005962729,0.0032253908,0.00372759,-0.03245196,0.03887445,0.022337247,0.010065201,-0.017202087,0.0059698024,0.0003202845,0.00835348,-0.035394423,0.016593788,0.0006109499,0.0058813873,-0.006868102,0.01177692,-0.0022652007,-0.031065607,0.010036908,0.02626996,0.007299569,0.0027090453,-0.021785535,-0.031716347,-0.017994286,0.0104259355,0.0027284967,-0.02894364,0.004551621,0.00027983452,0.002364226,-0.012491317,-0.015122556,0.003985763,-0.027910948,0.010270325,0.0019628203,0.00441723,-0.019168442,0.02870315,0.017739652,0.014146451,-0.011394966,-0.0069635906,0.023567988,0.011189843,0.01679184,-0.009739832,0.007879574,-0.011550577,-0.008282748,0.013347177,-0.004074178,-0.023115302,-0.0034871004,-0.008968851,-0.01539134,0.008487871,-0.00059282477,0.091103144,-0.006394196,-0.0014535479,-0.010383496,-0.021559192,0.01177692,0.008247382,0.016876718,-0.007964453,-0.028066559,0.026326546,-0.012569122,-0.010404715,-0.038506642,-0.014415234,0.012158874,-0.018531853,-0.0033739286,-0.0107371565,0.0061749257,-0.0072924956,0.0043535708,0.0102349585,0.009704466,-0.012052776,6.796928e-05,0.014111085,0.004505645,-0.013722057,-0.033838313,-0.023030423,-0.008537384,0.0040458855,-0.018998686,0.016211834,-0.001881478,-0.03293294,0.019437226,0.0126469275,0.007490546,-0.018828928,0.01758404,-0.010652279,0.0013200408,-0.027330944,0.0005128089,-0.0012077533,-0.027896803,-0.009746905]', 'plot a scatterplot of food price movements and number of fatalities in TCD from 2008-01-01 using HDXData data, including regression line as an image', '{"mem_type": "memory", "custom_id": "1bf8f06b-37e7-4c5f-b6e9-5aca2f4374e5"}', '1bf8f06b-37e7-4c5f-b6e9-5aca2f4374e5', '3df7d6ba-55b8-4de0-9dcc-d3ca4edc933b'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.015021892,0.009637625,-0.017241035,-0.016401744,-0.0019541972,0.021337915,-0.023315229,-0.004495187,0.004868601,-0.0065222895,0.010114172,0.039375566,0.010284875,0.011678952,-0.0006739225,0.011757191,0.008577841,-0.017497089,0.026501691,-0.022717766,-0.01566203,0.00965185,0.022760442,-0.00033985075,0.004224907,0.015761606,0.0034371824,-0.031011103,0.0028041576,-0.015036117,0.019403277,0.0024787544,-0.010441353,-0.02680042,-0.030783499,0.010348888,-0.0133219715,-0.005394936,0.012063035,-0.0028468333,0.007994605,-0.012447117,0.0024289659,0.007098413,-0.007909253,0.012134161,0.015221046,-0.016330617,-0.03206377,0.029190268,0.015818506,0.015377524,-0.012767185,-0.011927894,0.032206025,0.0257193,-0.00041808977,-0.0040293094,0.0041431114,-0.019047644,-0.0032629229,-0.0097585395,-0.013521126,0.007411369,-0.029048014,-0.031238707,-0.012831199,0.0007183765,0.014566683,0.022248331,0.021281013,0.029617026,-0.0049361708,-0.012468454,0.017269485,0.0023169417,-0.028877312,-0.015918083,0.017354837,-0.008051506,0.036871914,-0.045435533,-0.0072833416,0.021337915,0.028479004,-0.011899443,-0.014061686,0.046146795,0.008499603,-0.014580908,0.016145688,0.0038728316,0.030442093,-0.0026939118,0.008094182,0.012091485,-0.005160219,0.028891537,0.02345748,-0.026971124,-0.0051673315,-0.0009779877,-0.017241035,-0.008570729,-0.020071864,0.0021764673,0.010732971,0.0042995894,0.007589185,-0.016060336,-0.015775831,0.020142991,0.009025938,-0.020655101,-0.01310148,-0.03140941,0.010732971,-0.0043849414,-0.010690295,-0.030726597,0.0028343862,0.017710468,-0.006508064,0.0024769763,0.0098723415,0.0133219715,-0.0193606,-0.039119508,0.02237636,-0.0025890002,-0.0033162676,-0.0073615806,0.015121469,-0.0095167095,-0.0075749597,0.037469376,-0.032661233,0.022148754,-0.02469508,-0.01620259,0.0047868052,0.014132813,0.027170278,0.006319579,-0.0022991602,0.02722718,0.011771416,0.016159913,-0.00862763,-0.024794657,0.010875224,-0.019830035,0.027483234,-0.007909253,-0.0131512685,0.0019186342,-0.0129805645,-0.0021942488,-0.007923478,-0.00572923,-0.01601766,0.009239317,0.008314674,0.017952299,0.014836963,0.037953038,-0.015534002,-0.021124534,-0.0013851863,0.0047441297,0.0096020615,0.034937277,-0.012930776,0.0042853644,0.004196456,0.010277762,-0.0072833416,0.020953832,-0.035933048,-0.003508309,-0.013585139,0.017354837,0.028479004,0.0072015463,-0.024424799,-0.0019684224,0.022162981,-0.037042618,0.0007646086,-0.010491141,0.007816789,-0.0025641061,-0.0026121163,-0.0022209212,-0.6372924,-0.013905208,0.00054100505,-0.0063444735,0.021067634,0.018976519,-4.1231073e-05,-0.010178185,-0.04927636,0.03664431,0.0064013745,0.044013005,0.00056234293,-0.033173345,0.014054573,-0.023016497,-0.031836167,0.007446932,-0.0033696124,0.034197565,0.011885218,0.0011175732,-0.0010188854,0.002653014,4.539169e-06,0.025064938,0.0283083,-0.008350237,0.009509597,0.03303109,-0.01450267,0.006333804,0.0067676753,-0.001738151,0.03658741,-0.033258695,-0.0069846106,0.02523564,0.02933252,0.039375566,-0.02744056,0.005249127,0.010341776,0.004516525,-0.0068139075,0.02415452,-0.006728556,-0.009836778,0.0013185053,-0.029247168,0.015405974,-0.011885218,-0.012333315,-0.00453075,0.00094331364,-0.008826784,0.004416948,0.005394936,0.0042675827,-0.015263722,-0.013442886,-0.0025694405,-0.03456742,-0.0017754923,-0.01830793,0.022177206,-0.025918454,0.008826784,0.00086018466,-0.01707033,0.0005365596,0.011358883,-0.028393652,-0.017781595,0.019943837,0.01650132,0.005963947,-0.027028026,0.0027703727,0.0066929925,0.030954203,-0.013969221,-0.017340612,0.01002882,0.0055763084,-0.008506715,-0.043045685,-0.0006045742,0.010356001,0.015576678,0.0059497217,-0.0035456503,-0.0005058864,-0.027668163,-0.010448465,0.026658168,-0.0064618317,0.021721996,0.00034185118,-0.027653938,-0.032860387,0.006774788,0.011401559,0.0036149984,0.05146705,0.008378687,0.0033749468,2.7380878e-05,0.025932679,-0.027028026,-0.026217185,-0.009018825,-0.024823107,-0.0061844387,0.009346006,-0.03246208,0.0100003695,0.007880803,0.024396349,-0.013869645,0.054255206,-0.005647435,0.025548596,-0.024581278,0.010491141,0.0063231355,0.021750448,0.010804097,-0.0014483109,0.0049503963,0.008584954,0.013435774,0.024054943,-0.02798112,0.015093018,-0.0129663395,-0.0020431052,-0.0003609664,-0.022447485,-0.02421142,-0.0034336261,0.023229877,-0.00072415546,0.0031686802,-0.0076603116,-0.013094367,0.008976149,0.011742965,0.0032042435,0.008663193,-0.012575144,-0.015633577,-0.00069926126,0.020527074,0.025605498,-0.0042853644,0.020000739,-0.0097585395,0.0064013745,-0.016871177,-0.0014020788,0.015377524,-0.008158196,0.0023809555,0.011131279,-0.010491141,-0.0034585204,0.024083393,0.018222578,-0.016899629,-0.0041751186,-0.033287145,-0.03971697,0.026089158,0.0008219543,0.02499381,-0.02569085,-0.021935375,0.015235271,-0.019588206,0.02523564,0.019431727,-0.00347808,-0.025249865,0.021010732,0.0025338773,-0.0056687724,0.014524007,-0.0010837882,0.030214487,-0.025761975,0.022931146,-0.019118771,0.0127814105,0.008969037,0.020455947,-0.019019194,0.014865414,0.009367344,0.017923849,0.04170851,0.017184133,0.009111289,0.02029947,0.02550592,-0.026430564,0.004608989,-0.031238707,-0.011792754,0.011422897,0.01426084,-0.038322892,-0.0037127973,-0.009488259,-0.00559409,0.0016012327,0.0009824331,-0.025377894,-0.024467476,-0.019019194,0.010661844,-0.018379057,0.032234475,-0.016814277,0.011373108,-0.008449814,0.0022120303,0.017212585,-0.0005365596,-0.0205982,-0.0028610588,0.019232573,-0.020882705,0.010548042,0.026672393,0.00034696338,-0.0021142317,0.0032077997,0.013492675,0.011145504,0.0017843831,0.002018211,-0.0060350737,-0.003321602,-0.011963458,0.0014065242,0.016344842,-0.007702987,-0.015861183,0.005117543,0.00088907976,0.012639158,0.0010331107,0.016472869,0.019602431,-0.016785825,-0.007190877,0.00439561,0.035819244,0.026729295,0.033685453,-0.018592436,0.01566203,-0.0012162611,-0.0095736105,-0.012084372,-0.045577787,0.006717887,-0.016970754,0.00044098357,-0.0057363426,-0.012560919,0.0016012327,-0.011081491,0.009424245,-0.019261023,0.030612795,-0.0018599549,0.011437122,0.008883685,-0.011344658,-0.016216815,0.01391232,0.010818322,-0.003108223,-0.038835004,-0.018592436,0.0027454784,0.0042889207,0.011529586,0.011515361,0.0056189843,0.022959596,-0.006017292,-0.010576493,0.011757191,0.018350607,-0.02140904,0.00031917964,0.012134161,-0.011124166,0.0094171325,-0.007610523,-0.013243732,0.021636644,0.0022315902,-0.0057754624,-0.023471706,-0.014964991,0.0011913669,0.005782575,-0.008784108,-0.030015334,0.011337545,0.00034274024,-0.00065480726,-0.009289105,0.00283083,0.0333725,-0.0048010307,0.01132332,-0.030698147,-0.03664431,-0.0056438786,0.0723213,0.032803487,0.010149735,-0.01652977,-0.009865229,0.0038763878,-0.008449814,-0.009993256,0.021665096,0.008478264,0.00941002,-0.0052242326,-0.006006623,0.014780062,0.001482096,-0.016430194,-0.020370595,-0.0095593855,0.002341836,-0.0072620036,-0.031267155,-0.0068245763,0.0006725888,0.0036630088,0.010562267,0.004004415,0.016728925,0.035819244,0.0034336261,0.011081491,-0.020100316,0.033742353,-0.010882337,0.016828502,-0.00018481746,0.023870014,0.0006468055,-0.016913854,0.022731991,0.009481147,0.019232573,-0.00630891,-0.0005361151,-0.0056438786,0.020996507,0.01857821,-0.014623584,0.007702987,-0.016629348,-0.0043067024,0.022874244,-0.010235086,-0.037469376,0.0032967078,-0.017425964,0.00501441,-0.0036381145,-0.0069917236,-0.0019879823,0.010548042,-0.02625986,-0.010832548,0.020000739,-0.024268322,-0.01574738,0.01466626,-0.035762344,-0.013606477,-0.018265255,-0.0069099283,-0.013997672,-0.028706608,-0.009886567,0.014125699,0.010128397,-0.0027952667,0.012226625,-0.02111031,0.005928384,-0.02451015,-0.012546694,0.009296218,-0.01927525,-0.013862532,-0.013848307,-0.014865414,0.0012971674,-0.011714515,-0.020114541,0.02728408,0.025406344,-0.0333725,0.010683183,-0.025605498,-0.027895767,-0.0129805645,0.013905208,0.021238338,0.012440004,0.00029406312,0.01803765,-0.020399045,-0.017781595,-0.027113376,0.011280644,-0.0049112765,0.017411739,0.013051691,-0.021366365,-0.007994605,0.010683183,-0.0052775773,-0.014097249,-0.017866947,0.012212399,-0.0016394631,0.005821694,-0.0055798646,-0.0134642245,0.0066538732,0.007411369,0.015548227,-0.006198664,-0.0074398196,-0.016131463,0.0036149984,0.0042533576,-0.029019564,-0.040826544,-0.01224085,-0.0102991,0.01857821,-0.0037625856,-0.008471152,-0.027924217,-0.010220861,-0.02159397,0.006486726,-0.013172606,-0.031267155,-0.009836778,0.0099576935,-0.007411369,-0.01453112,-0.0074753826,-0.020000739,-0.01210571,0.018165678,0.012745848,-0.013257958,-0.010114172,-0.021480167,-0.007916366,-0.016344842,-0.026018031,-0.021707771,-0.024737755,0.02803802,0.023784662,0.026999574,0.03769698,0.022148754,0.026302537,-0.01172874,0.0041111046,0.00760341,-0.004349378,-0.009289105,-0.01863511,0.003965296,0.007831015,0.0045449757,-0.00083840225,-0.014104362,-0.002773929,0.012496905,-0.0016439086,-0.014751612,0.004146668,-0.024467476,-0.018649338,0.03234828,-0.004271139,0.0007366026,-0.05152395,-0.0066183098,0.056246743,0.009587836,0.012183949,0.012304864,-0.00668588,0.017824272,0.027269855,0.015093018,-0.0061026434,0.008620517,-0.00886946,-0.01172874,0.012390216,0.017127233,0.008634742,0.022774667,0.013762955,0.0057327864,0.0036487835,0.01569048,-0.0012224846,0.026871547,-0.0009646516,-0.01121663,-0.02162242,-0.019602431,-0.018933842,-0.013314859,0.014452881,0.021835798,-0.020953832,0.013300634,-0.01078276,-0.01827948,-0.013940771,-0.012326202,0.034652773,-0.0057221176,0.021650871,0.015477101,0.012084372,-0.008037281,0.0049077203,-0.018919617,0.017340612,0.016885402,0.045037225,-0.028934212,-0.015946534,-0.009587836,0.019445952,0.020114541,-0.024794657,0.010647619,0.0269569,0.008464039,-0.014708936,-0.015192595,-0.03035674,0.0041288864,-0.0023880682,-0.0076958747,0.027540136,-0.021096084,-0.0020484398,0.009196641,-0.0514386,0.022547062,-0.0066147535,-0.007681649,0.010754309,0.0023649521,-0.029787729,0.02210608,-0.006877921,0.017838497,-0.00016870289,0.017539766,0.026046481,0.020100316,0.011963458,-0.0033624996,-0.0073615806,0.03149476,-0.01067607,0.0005783464,0.015277947,-0.014047461,0.0044453987,-0.0064582755,-0.014979216,-0.020953832,-0.008883685,-0.0070592933,0.025904229,-0.02345748,0.0015016558,-0.010121284,-0.004961065,-0.014346192,-0.009438471,-0.008755658,0.0022369246,-0.01652977,-0.002953523,0.009986144,0.011166842,0.0017950521,0.023059173,-0.026444789,0.013215282,0.027639713,-0.014765837,0.035648543,0.018108776,-0.0019933167,-0.037355576,-0.00016981423,-0.021266788,0.005160219,-0.0029926426,-0.010718746,-0.03664431,-0.02620296,-0.002930407,0.029929982,0.019460177,0.0015229937,0.009523822,0.019858485,-0.005860814,-0.02029947,-0.021039184,0.019261023,-0.04105415,0.008136858,0.005003741,-0.004000859,0.03149476,-0.038265992,-0.0049432833,0.009346006,-0.0028699494,-0.019118771,0.001916856,0.004495187,-0.01002882,6.3458065e-05,-0.020271018,-0.022049177,-0.016216815,0.017383287,0.00051344355,-0.002843277,0.034197565,-0.006778344,-0.04318794,-0.0017505981,-0.017810045,-0.02795267,-0.005825251,0.0025160958,-0.008271998,-0.0021053408,0.0040328656,0.029617026,0.035420936,-0.022049177,-0.034652773,-0.028663931,-0.021906925,-0.014595134,-0.028251398,0.011586487,0.0244817,0.014979216,-0.010078608,0.018677788,0.0017141458,0.0072797853,-0.009118402,-0.009360231,0.027383657,-0.024353674,0.011195293,-0.007631861,0.004303146,-0.01361359,0.016330617,0.0005565639,0.035989948,0.03863585,-0.015320623,0.0066929925,-0.0132508455,-0.003197131,-0.015263722,-0.0035598755,-0.017938074,-0.032177575,0.00356521,0.00010252201,0.009751427,-0.005113987,-0.005334479,-0.011558037,0.0012171502,-0.030100685,-0.025377894,0.0065898593,-0.02005764,-0.014566683,0.00029028454,0.0019026308,0.014367529,0.041281752,0.028123371,0.00063924835,-0.013905208,0.018720463,-0.015605128,-0.029787729,-0.02451015,-0.010448465,0.027369432,-0.0074753826,0.026828872,-0.0066574295,0.009836778,-0.015932309,-0.028749283,-0.025463244,0.030072235,-0.014139925,-0.0042426884,-0.020697776,0.020712001,-0.017269485,0.012838312,0.0036914593,0.018265255,-0.041964564,0.00012258187,-0.003310933,0.017084556,-0.0015683367,0.013094367,-0.0014083023,-0.006806795,0.033799257,0.19642262,0.008044394,0.0028006013,0.01933215,-0.0308973,0.024652405,-0.01081121,0.0032878171,0.026928449,0.022845794,0.0031615677,0.021693546,-0.0048010307,0.00021148985,0.0075607346,-0.0074967206,-0.031750817,-0.019986512,-0.022746217,-0.012440004,0.016643573,0.016700475,-0.008478264,-0.03297419,0.010768534,0.018507084,-0.008158196,0.0037874798,0.031295605,0.0049006077,-0.009445583,-0.034282915,0.012717397,0.003389172,-0.011223743,-0.005665216,-0.0131512685,-0.010171073,0.02237636,-0.0016447976,-0.009310443,0.00521712,0.0015870074,-0.013890983,0.013755842,0.0055905334,0.008193759,-0.02108186,0.011771416,-0.005843032,-0.016458644,-0.01199902,0.004584095,0.012361765,-0.004235576,-0.01347845,0.03140941,-0.0017248148,-0.0032718135,-0.012247963,0.0058572576,0.014004785,-0.004694341,-0.0075038336,0.00075705146,0.0133646475,-0.01625949,0.0039297324,0.0018990744,-0.018464409,0.022959596,-0.010455578,-0.027611261,-0.005896377,-0.00044942982,-0.023827339,0.012959227,0.011337545,0.024552828,0.034254465,0.0010882337,0.003077994,0.008108407,0.006739225,-0.018435957,-0.03451052,0.013898095,-0.004961065,-0.024239872,0.0043529347,0.0051282123,-0.0068672523,-0.006977498,0.023628185,-0.0055336324,-0.012639158,0.019445952,0.010206636,-0.004982403,0.0069063716,-0.016942304,0.023528608,0.014652035,-0.003958183,-0.00014414206,-0.028649706,-0.022504387,0.004573426,0.010256425,-0.032206025,-0.0035367594,-0.04076964,0.001939972,0.0054447246,-0.008222209,0.007297567,0.0022333683,-0.02135214,-0.0070130615,0.01145846,-0.0060101794,-0.031864617,-0.00050144095,0.00010946795,-0.02056975,-0.017667793,-0.03243363,-0.016643573,-0.0073260176,-0.024922684,0.011401559,-0.012539581,0.01517837,-0.019559754,0.014360417,0.01347845,-0.0075393966,-0.009161077,-0.012767185,0.019019194,-0.0043636034,-0.00050544186,0.009481147,-0.0064689443,0.020000739,-0.0167716,-0.00064280466,0.0018901837,-0.031722367,-0.023628185,-0.012183949,0.005885708,0.016643573,-0.011984795,0.039204862,-0.017596666,0.0004236465,-0.033770803,0.01442443,-0.00018270589,0.00054900674,0.031238707,0.014595134,0.007297567,-0.025491696,0.0037625856,-0.1848148,0.0064262687,0.024083393,-0.008663193,0.004648109,-0.0072015463,0.034766573,0.008691643,-0.005583421,-0.0025481025,-0.012489793,-0.009879454,-0.04076964,0.019645106,0.011984795,0.018862717,0.006853027,0.025705075,0.021736221,0.023044948,0.034226015,-0.010754309,0.02213453,0.007759888,0.0032184687,0.0062057767,-0.04014373,0.04734172,0.0050321915,-0.028251398,-0.02472353,-0.020142991,0.016515546,-0.008293336,-0.016515546,-0.014488445,-0.022191431,-0.022860019,-0.0283083,0.024353674,0.0133219715,0.012916551,-0.0044205044,-0.0093744565,0.0034585204,0.031580113,-0.0060813054,-0.006177326,0.019929612,-0.003508309,0.025420569,-0.04893495,0.03243363,0.0012669386,0.019019194,0.009125515,0.0065329582,0.016316392,-0.001025109,0.0021426822,-0.014865414,-0.019204123,0.0077954517,-0.020783128,-0.028180273,-0.03414066,-0.038294442,-0.005562083,-0.00508198,0.026387887,-0.007681649,0.0027099152,-0.005896377,-0.030214487,0.024040718,0.017667793,-0.027653938,0.0049290583,0.028863085,-0.0030602126,-0.0054553933,0.037412476,-0.014474219,-0.0069810543,-0.0077314377,-0.014922315,0.01722681,0.0029392978,-0.0024289659,-0.011095716,-0.0054411683,-0.011152617,0.009196641,-0.026672393,0.009794103,0.023770437,0.0134642245,-0.021281013,0.036359806,0.007631861,0.009986144,0.0097158635,-0.023599733,0.0063907052,0.0205413,0.0026334543,-0.0067356685,0.02340058,0.03974542,0.003979521,-0.02833675,0.0134215485,0.007959042,-0.013215282,0.009865229,0.018521309,0.01655822,0.0029677483,-0.0067676753,-0.003979521,0.033913057,0.0042106817,0.0096731875,0.0010464469,-0.0005498958,-0.009310443,-0.09422823,-0.0062697907,0.01391232,0.005259796,0.005170888,0.018620886,0.0072584474,0.008286223,0.002708137,0.034965727,-0.015519776,-0.023372129,-0.0011406894,0.003723466,0.05448281,0.03041364,-0.005761237,-0.002452082,0.022291008,0.035705443,-0.0075607346,-0.023884239,0.015832732,-0.012816974,0.0060350737,-0.0039048383,-0.032291375,0.03408376,0.009146852,0.022177206,0.026444789,-0.032234475,0.037924588,0.00082506606,-0.02138059,-0.026302537,-0.00927488,-0.007902141,0.0011566927,-0.055194072,0.018265255,0.017753145,0.044382863,-0.01927525,0.018734688,-0.026971124,-0.025164515,0.035933048,0.010932125,-0.014979216,-0.021337915,-0.014452881,-0.003108223,-0.003197131,0.013144155,-0.024808882,0.00036985718,-0.0043671597,-0.04927636,-0.0031011102,-0.014132813,-0.013670491,-0.035904597,0.028806185,0.014026123,0.0133646475,-0.044041455,-0.012027471,0.016472869,-0.00093175564,-0.039091058,0.035762344,-0.027326757,0.0022511499,-0.036359806,0.0048188125,0.0008468485,0.009552273,0.014879639,-0.014246615,-0.009281993,-0.022020727,0.019261023,0.0030637688,0.013691829,0.003076216,-0.006077749,0.008051506,-0.006874365,-0.015064568,0.03519333,0.034851927,-0.0066680983,0.00093531195,-0.0054447246,0.018478634,0.007916366,0.016159913,-0.025150288,0.008577841,-0.029048014,-0.02348593,-0.0723782,0.024567053,0.01701343,0.015832732,-0.02553437,-0.0011415784,-0.0030691035,-0.005494513,-0.016387518,-0.012710284,0.009594949,0.006298241,-0.023500156,0.0095736105,-0.006764119,-0.013848307,0.0017443745,0.011181067,0.034823477,0.0048010307,0.0016101234,-0.007823901,0.013293521,0.016117238,-0.009104176,-0.010021707,0.008848121,0.012717397,-0.009324669,-0.024012266,0.042476676,-0.0016999205,0.0065791905,0.019403277,0.020000739,-0.029161816,-0.013300634,-0.008905022,0.024538603,-0.007016618,-0.009025938,-0.012169724,-0.0025552153,-0.024339449,-0.010491141,-0.00039097283,-0.01016396,-0.00059701706,0.010256425,0.003010424,0.0062591215,0.00699528,-0.011742965,-0.0135069,-0.0043244837,-0.026686618,-0.004591208,0.009018825,0.020014964,-0.016131463,0.009310443,0.03766853,0.029076464,0.0016892516,-0.0031917964,-0.012205287,-0.0055122944,0.0063835927,0.022063404,-0.036871914,-0.027412107,-0.008442701,0.0030459873,0.01655822,0.010420015,-0.017354837,0.006195108,0.006760563,-0.000992213,-0.011465573,0.009794103,-0.002596113,-0.039062608,0.043301743,0.0049895155,0.009196641,-0.0055656396,0.0180661,-0.0011309094,0.0046196585,-0.036445156,0.0021800236,-0.011081491,-0.0064440505,-0.01364204,0.018137228,-0.008755658,-0.022049177,0.018080326,0.012916551,-0.0023240545,-0.0047085662,-0.018734688,-0.0070699626,-0.023798887,0.021252563,0.009708751,-0.010491141,0.011814092,0.008926361,0.0047299042,0.0097585395,-0.01825103,0.0257193,-0.012098597,0.0032558101,0.02361396,0.0018199463,-0.0069490476,0.02849323,0.026459014,0.0070664063,-0.0027668162,-0.00017970525,0.023030723,-0.010263537,0.014331966,-0.010107059,0.0030157587,-0.0064120432,-0.005650991,0.003961739,-0.012119936,-0.017184133,-0.0074967206,0.003118892,-0.03209222,0.0070059486,0.010668958,0.099520035,-0.0027490347,-0.024310997,-0.011949232,-0.019730458,0.027156053,0.009979031,0.014808513,0.0010002147,-0.039176412,0.03092575,0.0072833416,-0.014637809,-0.037782334,-0.022219881,0.0006454719,-0.01426084,0.009979031,0.0016999205,-0.0038479373,-0.010583606,-0.0034549641,0.025320992,0.011913669,-0.016103012,0.0017888285,0.018933842,0.0052846903,-0.024780432,-0.018677788,-0.01312993,0.012632046,0.013663379,-0.017895397,0.0134215485,0.005270465,-0.019602431,-0.0033553871,0.011401559,0.011678952,-0.011870993,0.018933842,-0.0064120432,-0.006216446,-0.009146852,0.0046552215,-0.0017523762,-0.02186425,-0.023841564]', 'plot a line chart of fatalities by month for Chad using HDX data as an image', '{"mem_type": "memory", "custom_id": "af936e2d-b976-40c9-add4-0209c0f2307e"}', 'af936e2d-b976-40c9-add4-0209c0f2307e', '5bddca9d-c648-49d2-b516-46d64b588bc7'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.019067306,-0.010851766,-0.012734785,-0.0086200405,0.0012265773,0.0072461343,-0.018035132,-0.024702413,-0.010000921,-0.0146178035,0.008117902,0.037465096,0.034033816,-0.0013599579,0.00091797154,0.02725495,0.0028140666,-0.018913874,0.019388117,-0.01838384,-0.04435555,0.006067504,0.029402986,-0.004916771,-0.0031557996,-0.00097638,0.020266859,-0.030965194,0.0079853935,-0.0014079051,0.02261017,0.00032495146,-0.010238042,-0.019834463,-0.02294493,-0.010272913,-0.015984735,0.004184486,0.027561812,-0.0073995655,0.00065339,-0.02181512,0.004282124,0.0014026745,-0.0153989075,-0.0041775117,0.030016711,-0.023293637,-0.025455622,0.025832225,0.007566945,0.027854726,-0.016710047,0.0059942757,0.023991052,0.0146178035,0.010307783,0.00039665436,-0.005948944,-0.019429961,-0.0056385943,-0.0028628856,-0.023056516,0.008138824,-0.028538192,-0.030156193,-0.007755247,0.00024540265,0.017588789,0.024911638,0.033726953,0.043211788,0.0016737942,-0.005091124,0.0058268965,0.011214422,-0.03116047,-0.008808343,0.005795513,-0.0033998946,0.036098164,-0.023474965,-0.00522712,-0.00048819,0.028524244,-0.0048923614,0.010551878,0.043686032,-0.014506217,-0.009219817,0.029988814,0.0087176785,0.028008157,0.0043379166,-0.0031261595,0.0024775642,-0.0038741364,0.029151917,0.024646621,-0.024270017,-0.00032124645,-0.0046691885,-0.017309822,-0.006506875,-0.019332323,0.0023154153,0.01180025,-0.011284163,0.0022352128,-0.025204552,-0.014952562,0.02814764,0.011277189,-0.03651661,0.0062871897,-0.03328061,0.003323179,-0.016333442,-0.0067614317,-0.011570103,-0.0020695769,0.023474965,0.0034574312,0.00045680636,0.012769655,0.011772353,-0.019304428,-0.044160273,0.019750772,-0.0027635042,-0.008020264,0.0031104677,0.01789565,0.011339956,-0.018272255,0.049906965,-0.03570761,0.02523245,-0.016403183,-0.026250673,0.0069113756,0.014059872,0.025971707,-0.0031191853,-0.012539509,0.0061825775,0.0077482727,0.017616685,0.004986512,-0.027798934,0.010747154,-0.0120094735,0.012190802,0.0077482727,-0.0024043357,0.022414895,-0.00850148,0.008410816,0.0015648233,0.005174814,-0.0019632212,0.012853345,0.019262582,0.02001579,0.0076436605,0.038050923,-0.0034713796,-0.020490032,-0.017114546,0.0141296135,0.012588328,0.0054956246,-0.014854924,0.0028663727,-0.003999671,0.015775511,-0.018244358,0.012971906,-0.027436279,-0.021926705,-0.01838384,0.011730508,0.033169024,0.0013032929,-0.008452661,-0.0027931442,0.015371011,-0.019639187,0.0048121586,-0.021368774,0.013460096,0.012079216,-0.010440292,0.00062287814,-0.6355955,-0.026390156,-0.013313639,-0.007964471,0.024939535,0.022596223,0.016961114,0.01033568,-0.04937693,0.021591946,0.011932759,0.032555297,-0.018035132,-0.023991052,0.022903085,-0.021731429,-0.014868872,-0.019276531,-0.00034260476,0.028789261,0.006782354,0.0010539673,-0.0011463747,0.013474044,0.0073019275,-0.009687085,0.028649779,-0.0039961836,0.019053359,0.03969682,-0.009408118,0.008745575,0.008557273,0.0011690407,0.033057436,-0.028524244,-0.008250411,0.017560892,0.044048686,0.040003683,-0.020978222,-0.0119118355,0.0143248895,0.008208566,-0.016807685,0.027687347,-0.009038489,-0.0028070924,-0.0074553587,-0.04402079,0.0035603,-0.006663793,-0.026989933,-0.008431738,-0.004979538,-0.024060793,0.0034539443,-0.006137246,0.012427922,0.006981117,0.008382919,0.0008591272,-0.020113427,-0.0050667147,-0.0066603064,0.006391802,-0.032025263,0.0024043357,0.010328705,-0.009045463,-0.007364695,0.012930061,-0.02228936,-0.0059559178,0.012769655,0.003713731,0.01968103,-0.02570669,0.008564248,0.028050002,0.013850648,-0.022247516,-0.01984841,-0.00551306,0.020071583,-0.0027059675,-0.04694993,-0.012072241,-0.0052898875,0.010042766,-0.0038253174,0.011974603,-0.0014567241,-0.04572248,-0.018425684,0.03043516,-0.02326574,0.020280808,0.005865254,-0.027701296,-0.014882821,0.0070682936,0.008968747,0.00594197,0.038441475,0.022749653,-0.008117902,0.013209026,0.03849727,-0.029402986,-0.0083341,-0.005969866,-0.032276332,-0.007413514,0.001985887,-0.035484437,0.027645502,0.00571531,0.008857162,-0.004362326,0.03994789,0.0030250344,0.025762483,-0.013376406,0.00048644646,0.0061267843,0.011556155,0.0021985986,-0.011221396,0.015636029,0.016291598,0.011249293,0.025274293,-0.030546745,0.011305085,0.0118630165,0.004557602,-0.010837818,-0.029765641,-0.040561616,-0.0020852687,0.016361339,0.005614185,0.0004472169,0.009617343,-0.030853609,-0.008647937,0.0128882155,-0.0045227315,0.0030808276,-0.016012631,-0.011284163,-0.009812619,0.024688466,0.017560892,-0.0008347177,0.024814,-0.011974603,0.018439634,-0.014234225,-0.011904862,0.0032621552,-0.019346273,0.017477201,0.020978222,0.008313178,-0.005962892,0.0333364,0.008982696,-0.019053359,0.0007706428,-0.021717481,-0.02693414,0.019959997,-0.0051957364,0.0117165595,-0.024116585,-0.0060814526,0.006555694,-0.027059674,0.032025263,0.024144482,-0.008982696,-0.04482979,0.031439435,0.0074972035,-0.002365978,0.024521086,0.016612409,0.009777748,-0.028705573,0.03043516,-0.008843213,0.0071171126,-0.0044529904,-0.00074187445,-0.0053038355,0.0040240805,0.020852687,0.009638266,0.029040331,0.0006777995,-0.003570761,-0.00018089183,0.02237305,-0.030379366,0.0124976635,-0.02262412,-0.011033094,0.025106914,0.017309822,-0.046726756,0.0047459044,-0.006663793,-0.0061895517,0.010747154,-0.013425225,-0.018007237,-0.022875188,-0.013306664,5.8353962e-05,-0.0143248895,0.025776431,-0.0116677405,0.0063952887,-0.008382919,-0.005502599,-0.0024461807,-0.0026955062,-0.019764721,0.0032168233,0.0025403316,-0.020294756,0.008041186,0.025106914,0.0025403316,0.023544706,-0.006241858,0.019416014,0.014506217,-0.006555694,0.013153234,0.009080334,0.0045541152,-0.01855122,-0.00072836207,0.013390354,0.008257385,-0.021870911,0.01717034,0.0064720046,0.012553457,0.015482597,0.0054502925,0.016347392,-0.012169879,0.003853214,0.014589907,0.039641026,0.028789261,0.021591946,-0.008738601,0.0008059494,-0.0007540792,-0.013711165,-0.00809698,-0.018802289,8.744921e-05,-0.020238962,0.0017548687,-0.00042825597,-0.0089617735,0.001340779,-0.016696097,0.01407382,-0.01814672,0.023893414,-0.012867293,0.020685308,0.004282124,-0.016654253,-0.008564248,0.03043516,0.008257385,-0.0077412985,-0.03166261,-0.024046844,0.00537009,0.008138824,0.017128495,-0.00060892984,-0.009861438,0.034647543,-0.0120094735,-0.004247253,0.013676294,0.023335481,-0.0150083555,0.0069532203,-0.0021166524,-0.018230408,0.0007837193,0.0032360023,-0.030016711,0.040812682,-0.00028550398,0.0019545036,-0.01569182,-0.0059384825,0.0031244159,0.010761103,-0.024339758,-0.025134811,0.004874926,-0.0036335285,-0.006050069,-0.011842094,0.018690703,0.039668925,0.0042088954,0.012909139,-0.037046645,-0.043183893,0.018969668,0.047619447,0.028287124,0.017881703,-0.010182248,-0.0050667147,0.003514968,-0.0044076582,-0.008940851,0.018858083,0.018160667,0.009198895,-0.0054433183,-0.00341733,0.015580235,0.010614646,-0.01708665,-0.026752813,-0.02750602,0.017881703,0.009150076,-0.017742218,0.0025368445,-0.004784262,0.019806566,0.016472925,0.008020264,0.017532995,0.027966313,0.022875188,-0.009233765,-0.024465293,0.019764721,-0.021201394,0.0035428645,-0.010635568,0.010607671,0.0053875255,-0.014938614,0.007434436,0.00944299,0.013027699,0.006409237,0.0025769458,-0.0038183432,-0.00048426705,0.010698335,-0.017477201,0.012560431,-0.015859202,-0.0010339167,0.007378643,-0.015357062,-0.012874268,0.022484636,-0.007532074,0.005432857,-0.0029186788,-0.005565366,-0.007992367,-0.014659648,-0.03392223,-0.010028818,0.044383444,-0.023879465,-0.032332126,0.0006616718,-0.040505823,-0.02001579,-0.013711165,0.0062488317,-0.027073622,-0.01937417,-0.011088887,0.007420488,0.0043727877,0.0077831433,0.014262122,-0.0032063622,-0.0042681755,-0.006088427,-0.019457858,0.00012825885,-0.0015717974,-0.0069009145,-0.014248174,-0.012455819,0.003950852,-0.0030668792,-0.012518587,0.019820513,0.0057362323,-0.043100204,0.0120582925,-0.02082479,-0.015287321,-0.020922428,0.018174617,0.012295414,0.008871109,0.0029500625,-0.009575498,-0.010279886,-0.019234685,-0.019987894,0.024814,0.009875386,0.0033475885,-0.008689782,-0.022233568,-0.017784065,0.0054502925,-0.013111388,-0.035679713,-0.019555496,0.002181163,-0.019820513,0.01212106,0.00055705965,-0.017198237,0.011688664,0.004672676,0.029235607,-0.00054311135,0.0030651358,-0.0143248895,-0.0012762682,0.0007126702,-0.031746298,-0.027408382,-0.012853345,-0.005035331,0.0191231,-0.013125337,-0.016361339,-0.015649976,0.00010183338,-0.020615567,0.0075948415,-0.009359299,-0.03392223,-0.03205316,0.010203171,0.00047598526,-0.019262582,-0.01521758,-0.020685308,-0.01289519,-0.00087569084,0.019025462,0.01350194,-0.0074553587,-0.010014869,-0.006642871,-0.016891373,-0.019067306,-0.030016711,-0.008752549,0.031857885,0.0097638,0.025846174,0.028440554,0.010314757,0.038943615,-0.0120025,0.022094084,-0.00465524,0.01025199,0.006098888,-0.023781827,0.005816435,0.009164023,0.009345352,-0.0067684054,-0.02309836,0.0029099612,0.0064196982,-0.0054851635,-0.016737944,-0.0035428645,-0.022066187,-0.0016092835,0.015315218,-0.014785183,-0.01203737,-0.049767483,-0.02035055,0.057243764,0.014743338,0.023628395,-0.000604571,0.009519705,0.016068425,0.047145206,0.017714323,-0.011388775,0.013739062,-0.0010818639,-0.026292518,-0.0040938216,0.01757484,-0.011116784,0.026780708,-0.002828015,-0.0010836074,0.0089548,0.012386078,-0.0024705902,0.022484636,-0.00057580264,-0.0022247515,-0.032025263,-0.046894137,-0.0071171126,-0.010070662,0.020531876,0.016975064,-0.016542668,0.008696756,-0.017602736,-0.0054363445,0.0012719093,-0.0063848277,0.03685137,-0.0151059935,0.04427186,0.024144482,0.0057780775,-0.017240081,-0.013683268,-0.023628395,0.018969668,0.016012631,0.053198762,-0.017742218,-0.02505112,-0.0074065397,0.008899006,0.028496347,-0.035177577,0.011702612,0.010621619,0.0142272515,-0.024786104,-0.017100599,-0.023474965,0.01399013,-0.0120582925,0.0037834726,0.008201592,-0.016528718,-0.0014915948,0.007831963,-0.04865162,0.02302862,-0.011646818,-0.0044320677,0.003469636,0.0027146852,-0.029681953,0.025860121,-0.0035306597,-0.0015090301,-0.0011289393,0.032555297,0.012135008,-0.011528258,0.0038497269,-0.02823133,-0.017993288,0.026418053,-0.02035055,0.006897427,0.012560431,-0.01813277,0.0077412985,0.0030023684,-0.01594289,-0.02107586,-0.008536351,-0.01041937,0.017686427,-0.010614646,-0.014408579,-0.007385617,0.005328245,-0.0045018094,-0.026139088,0.0021759325,0.014603855,-0.0123512065,-0.0045052962,0.010238042,0.005764129,0.022917034,0.020880584,-0.008982696,0.0056246463,0.021368774,-0.025595104,0.035428647,0.031774193,-0.007085729,-0.028621882,-0.004693598,-0.02131298,-0.0026606354,-0.0012797553,-0.030630436,-0.04206803,-0.017965391,0.0016999473,0.018788341,0.012190802,0.017100599,-0.012281465,0.027924469,-0.009289558,-0.021368774,-0.012016448,-0.005112047,-0.02651569,-0.001246628,0.010677413,-0.029821435,0.03961313,-0.018760445,0.005216659,0.016989011,-0.0027234028,-0.0083759455,0.0073437723,0.0028855517,0.0027704781,-0.0006211346,-0.021912757,-0.023963155,-0.009303506,0.026557535,-0.008389894,-0.0054572667,0.024604775,0.01053793,-0.021201394,0.010321732,-0.02262412,-0.020852687,-0.01863491,0.005844332,-0.0033597932,0.0022578787,0.011005198,0.015468649,0.028203433,-0.030714124,-0.033420093,-0.02408869,-0.029626159,-0.01742141,-0.02058767,0.007131061,0.010489111,0.010286861,-0.007232186,0.027366536,-0.0097638,0.018425684,-0.015677873,-0.0020957298,-0.0017906112,-0.020141324,0.03149523,-0.008947825,-0.009101257,-0.016166063,0.010663465,0.0142272515,0.03361537,0.043072306,-0.007183367,0.002444437,-0.015119942,0.010391473,-0.009373248,0.009610369,-0.0056455685,-0.038580958,0.005216659,0.0031488254,0.00043610187,-0.0081806695,-0.007082242,-0.020559773,-0.015119942,-0.025901966,-0.034508057,0.006890453,-0.005952431,-0.00944299,-0.00030708022,-0.009143101,0.0005522649,0.035456542,0.030518848,-0.010984275,-0.010272913,0.014659648,-0.014352786,-0.022582274,-0.010307783,-0.011137706,0.026306467,-0.015733667,0.02505112,-0.0013311895,0.01619396,-0.023893414,-0.0022648529,-0.028845055,0.019946048,-0.013271794,-0.010782025,0.0044076582,0.0041775117,0.0017278439,0.00453668,0.002219521,0.01659846,-0.040171064,-0.0013983157,-0.009742877,0.0015630798,-0.0007405668,0.007992367,-0.017811961,-0.0029622673,0.025581155,0.19918151,0.019583393,0.0077901175,0.033503782,-0.010028818,0.0017792782,-0.0049551283,0.022428844,0.012316336,0.022038292,9.742006e-05,0.019959997,-0.024590828,-0.00018263537,-0.005893151,-0.00049211294,-0.029905124,-0.016751891,-0.0179096,0.012413974,0.04865162,0.012114086,-0.00732285,-0.022596223,0.014840976,-0.0013024212,-0.0025682282,0.007894729,0.023419172,0.008027239,-0.022679912,-0.017784065,9.9000135e-05,0.010000921,-0.010809922,0.0033894335,-0.0007488486,0.0023293637,0.017519047,0.0037764984,-0.005070202,0.0057397196,0.008396868,-0.0064720046,0.023991052,0.007762221,0.00944299,-0.027533917,0.006109349,0.005404961,-0.013160207,-0.00496559,0.010510033,0.028063951,-0.02595776,0.008899006,0.025985656,0.007378643,0.0062662675,0.0021776762,-0.012999802,0.022414895,0.0030093426,-0.0084735835,-0.0051992233,0.010963352,-0.041454304,-0.023070464,-0.0004934206,0.003713731,0.024437396,-0.011542207,-0.016961114,-0.00502487,-0.0012841141,-0.012379103,0.012413974,0.004449503,0.038218305,0.024632672,0.0033353837,-0.0019440423,-0.004923745,-0.0048156455,-0.010900585,-0.023209948,0.018927824,0.0006424929,-0.016542668,-0.0016537436,0.013139285,-0.016249754,-0.016975064,0.028328968,-0.018216461,-0.010551878,0.025483517,0.014464372,-0.010391473,0.012616225,0.0037939337,0.018174617,-6.848826e-05,0.0046587274,-0.0042263307,-0.025804328,-0.015468649,0.0062244222,0.014380682,-0.014220277,0.005607211,-0.037688266,0.0052619907,-0.010272913,-0.00626278,0.010928482,-0.004494835,-0.023474965,-0.00465524,0.01553839,-0.009624317,-0.024618724,-0.007124087,-0.0012570892,-0.027157312,-0.025092965,-0.011409698,-0.0083341,-0.0076436605,-0.025650898,0.0050457926,-0.015022304,0.01919284,-0.0072600828,0.024772156,0.019904204,-0.0082783075,0.0017923547,-0.005237581,0.009812619,-0.014896769,0.0073019275,0.011869991,0.0054886504,0.030658333,-0.015371011,-0.0075041777,0.0062174485,-0.020713205,-0.016263701,-0.008006316,0.010342654,0.023656292,-0.017811961,0.027854726,-0.006496414,-0.023544706,-0.018746495,0.026655173,-0.0049202577,0.004634318,0.019946048,0.021494308,-0.00088745967,-0.013139285,0.0075390483,-0.18010026,0.015859202,0.025818277,-0.0071554706,0.003713731,0.0064685172,0.039194684,0.00033541268,-0.013404302,-0.009979999,-0.023991052,0.0055479305,-0.036656093,0.009659188,0.012944009,0.0349823,-0.010210145,0.018662807,0.016542668,0.018049082,0.017686427,0.010621619,0.019025462,0.0016275906,0.013481018,0.019778669,-0.029430883,0.046029344,0.0013486248,-0.013864596,-0.014248174,-0.0053944993,0.032722678,-0.0065138494,-0.006095401,-0.019667083,-0.020029739,-0.012232646,-0.019318376,0.029877229,0.014492269,0.0074902293,0.016500821,8.1728234e-05,0.0014950818,0.029737744,0.009770774,-0.018035132,0.003537634,-0.020964274,0.025190603,-0.02383762,0.042123824,0.0013224719,0.02408869,0.019597342,0.005669978,0.025441673,0.001272781,-0.013453121,-0.007657609,-0.01944391,-0.0008220771,-0.032164745,-0.034368575,-0.023935258,-0.025190603,0.014025001,-0.014338838,0.028677676,0.0038845974,-0.0046203695,-0.00398921,-0.013508915,0.005649056,0.008689782,-0.03816251,0.01151431,0.029737744,-0.0004690111,-0.009003619,0.039641026,-0.012407,0.00066428713,-0.0022770576,-0.012957958,0.022652015,-0.0063743666,0.007573919,0.004704059,-0.010021843,-0.0079853935,0.006451082,-0.02132693,0.009129153,0.021870911,0.0046099084,-0.019262582,0.030518848,-0.0020451674,0.013216001,-0.0021550101,-0.012957958,0.005704849,0.010321732,0.02742233,-0.018676754,0.022986775,0.050994933,0.00070918316,-0.029430883,0.019764721,0.02035055,0.009226791,-0.0014654418,0.029821435,0.0060849395,-0.004927232,0.0016659483,0.0025629974,0.0048505166,-0.0066010263,-0.0043169945,-0.013732087,-0.022177774,-0.013906441,-0.09384406,-0.012086189,0.009666162,0.007420488,0.017184287,0.002346799,-0.0047738007,-0.010119481,0.0018603526,0.021494308,-0.02798026,-0.024507137,-0.0029500625,-0.000859999,0.033643264,0.024995327,0.0015482598,0.006506875,0.006088427,0.029598262,-0.010070662,-0.024925586,0.003657938,-0.02326574,0.0128882155,0.007559971,-0.039250474,0.03724192,0.026013553,0.017993288,0.00078720634,-0.036349233,0.042514376,-0.024590828,-0.01717034,-0.028063951,0.0009676623,-0.0052898875,-0.002925653,-0.049265344,0.021089807,0.023935258,0.022986775,-0.02700388,0.027882623,-0.018328046,-0.0009973025,0.02530219,-0.007141522,0.0013285743,-0.014673596,-0.0033859464,-0.020782946,-0.0060291463,0.019890256,-0.0039299293,-0.014059872,0.0050946116,-0.037297715,-0.036237646,-0.016333442,0.006737022,-0.049628,0.018202513,0.010182248,0.019778669,-0.030128296,0.0041914596,0.020127377,0.010544904,-0.0358192,0.045527205,-0.028845055,0.010398447,-0.027715243,0.0144225275,-0.0033057437,-0.0058373576,0.026487794,0.0010295578,-0.014296993,-0.03791144,0.0075251,-0.0073437723,0.006555694,0.009798671,-0.013557734,0.00626278,0.0017766629,-0.03752089,0.024423448,0.03944575,0.003019804,-0.007232186,0.002610073,0.01919284,0.013592605,0.0236005,-0.0125464825,0.014882821,-0.029319296,-0.027450226,-0.072363704,0.017784065,0.019109152,0.017700374,-0.014492269,-0.004644779,0.0045052962,-0.012762682,-0.0125953015,-0.014185406,-0.011012171,0.014136587,-0.024618724,0.0018272254,-0.00927561,-0.027729193,0.025371931,-0.0005047536,0.027519967,-0.003127903,0.0024200275,-0.003166261,0.022219619,0.030323572,-0.02376788,0.0130346725,0.0012039114,0.02669702,0.0029239093,-0.013620501,0.036098164,0.0009850977,-0.00093627867,0.027045727,0.02164774,-0.019764721,-0.028022107,0.0060326336,0.036014475,-0.004867952,-0.018732548,-0.01602658,0.00027438893,-0.008187643,-0.019416014,-0.005328245,-0.009338377,-5.4730677e-05,0.029068228,-0.008410816,0.0148130795,0.011367853,0.003807882,-0.0076506347,0.004700572,-0.026487794,-0.004313507,-0.002587407,0.016556615,-0.00723916,0.004826107,0.023628395,0.019667083,-0.027519967,-0.012874268,-0.022819396,0.007559971,0.0005034459,0.014366734,-0.016221857,-0.019806566,-0.0053456803,0.0029762154,0.0035585563,0.01496651,-0.013404302,0.011577077,-0.008159747,-0.006733535,-0.02286124,0.0011620666,0.0024531547,-0.032527402,0.039110992,0.005579314,0.018021185,-0.008857162,-0.0036474767,-0.00614422,0.0071624448,-0.033308506,-0.001272781,-0.0036056319,0.0023154153,-0.011500361,0.015803408,0.0011629383,-0.023991052,0.011849069,0.011625896,0.0044774,0.004296072,-0.026362259,-0.023502862,-0.016054478,0.0046099084,-0.0035201986,-0.015273373,0.0154547,-0.0008220771,0.0015578491,-0.027952364,-0.01789565,0.016696097,-0.029654056,0.00878742,-0.0017557405,-0.015287321,-0.017965391,0.039417855,0.02018317,0.010600697,-0.0031453385,0.0065208236,0.018314099,0.001828969,0.020517929,-0.004282124,0.0073019275,-0.0057222843,-0.008968747,0.0037764984,0.012309362,-0.027115468,-0.010600697,0.0077831433,-0.031132573,0.016235804,-0.010503059,0.111809455,-0.00732285,-0.012434897,0.00087220373,-0.0069915783,0.0292914,-0.0042716623,0.004100796,-0.009938153,-0.021187445,0.016472925,-0.0005470343,-0.011821172,-0.031355746,-0.005021383,0.011116784,-0.012699914,0.0022282386,-0.0083341,0.0021532667,-0.011653793,0.001314626,0.018579116,0.004348378,-0.015078097,-0.0027460686,0.012706888,-0.016556615,-0.03026778,-0.027380485,-0.019625237,0.017881703,0.0029674978,-0.026878346,-0.00040014143,-0.012727811,-0.02016922,0.0015064148,0.004201921,0.013850648,-0.013857622,0.025288241,-0.010349628,0.008494506,-0.018537272,0.005418909,0.008313178,-0.0129370345,-0.00010564737]', 'plot a line chart of commodity prices monthly relative change for Chad from 2008-01-01 using HDX data as an image', '{"mem_type": "memory", "custom_id": "1af54b12-e2cf-46a8-b0ad-3b833841a2df"}', '1af54b12-e2cf-46a8-b0ad-3b833841a2df', '8c85cf20-7dc3-4187-8555-405205d60c68'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.014580516,-0.017555559,-0.01720473,-0.013254376,0.0046028965,0.014917313,-0.01716263,0.0010945912,-0.006627188,-0.0288523,-0.0011437075,0.017218763,0.011647573,-0.006083401,-0.0065956134,-0.0019611428,-0.00012103652,-0.014110403,0.00075735536,-0.024221338,-0.022607518,0.0075218063,0.010426682,-0.016671468,-0.0082796,0.008630431,0.008770763,-0.01921148,-0.003345169,-0.009549607,0.024123106,-0.019983305,0.010237234,-0.023547743,-0.006244783,-0.010153035,0.0040345513,-0.0037398532,0.027996274,-0.003541634,0.00440994,-0.008391866,0.012012436,0.015492675,-0.008230484,0.03149055,0.014833114,-0.005841328,-0.01712053,0.03996661,0.008419933,0.021849724,-0.031911545,-0.0046695545,0.009437341,0.0069499523,0.0071429093,-0.010181101,-0.004546764,-0.03421299,0.0100056855,0.0016892488,-0.034970786,-0.0009437341,-0.01082663,-0.032079943,-0.016713567,0.004129275,0.02523173,0.009668889,0.037103835,0.031237949,-0.0055571552,-0.0012165048,0.03923689,0.009865355,-0.0053677065,-0.0025786043,0.006781554,-0.0055817133,0.033651665,-0.036009245,-0.021821657,0.0023856475,0.016152238,-0.0030960792,0.012791281,0.02523173,-0.012187852,0.0030434546,0.019492144,0.02388454,0.022635585,0.0059641185,0.008419933,-0.0015278668,0.006739454,0.0086093815,0.040163074,-0.04389591,-0.016503068,-0.004732704,-0.01811689,0.00018879067,-0.011058178,-0.010223201,0.00022803983,0.007760371,0.013598191,-0.02597549,-0.040078875,0.036710907,-0.008244517,-0.029610096,-0.011345859,-0.01331051,0.040780537,-0.012959679,-0.004652013,-0.017597659,0.016264504,0.02208829,-0.0060798926,-0.013556091,0.022832049,0.015015546,-0.013219293,-0.023463544,-0.010777513,-0.020628834,-0.0081392685,0.009781155,0.0134999575,-0.024066973,-0.017667826,0.037973896,-0.018509818,0.01724683,-0.0124755325,-0.029217165,0.0046660462,0.020362202,0.024052938,-0.018397553,-0.01952021,0.01194227,-0.0008512025,0.023028513,-0.0036977537,-0.007879654,0.017836224,-0.008532198,0.0023470563,-0.025610628,-0.016306603,0.015141845,-0.020446401,0.008412916,-0.017345062,-0.009851322,-0.024431836,-0.0056413542,0.0057115206,0.016699534,0.02148486,0.05054766,-0.016320636,-0.0028592686,-0.012096636,-0.0058869356,0.0012682523,0.039938543,-0.0036486373,-0.011142377,0.015127812,0.017345062,-0.016025938,0.0166013,-0.024782667,-0.016278537,-0.018243188,0.024052938,0.011023094,-0.0017278403,-0.010096902,-0.02932943,0.021737458,-0.015843507,-0.005623813,-0.009795188,0.012279067,-0.0004161727,0.0023733685,0.020670934,-0.63317895,-0.018958881,-0.02554046,-0.0204885,0.014734881,0.0013331559,0.019421978,-0.008897062,-0.02972236,0.006869261,0.008742697,0.023393378,-0.02096563,-0.029273298,0.011815972,-0.02353371,-0.041818995,-0.015015546,0.029750427,0.016741633,-0.005083534,0.011479174,0.012721114,0.006806112,0.0052378993,0.008146285,0.0247967,-0.016713567,0.011163427,0.0012147507,-0.0069499523,0.015492675,0.007718271,0.00082050485,0.043783646,-0.012629898,-0.014236702,0.012363267,0.029890759,0.038703624,-0.02440377,-0.011514257,0.035391785,0.011780888,-0.02641052,0.037665166,0.009809222,-0.016460968,-0.0009796943,-0.040415674,-0.0022137407,-0.015169911,-0.030031092,0.0028627769,0.024670402,0.0014156011,0.0019278136,-0.014299852,0.014622616,0.0127772475,-0.0039363187,0.015604941,-0.016952131,-0.018201089,0.004013501,0.02850147,-0.011423041,0.014334935,0.008286617,-0.016278537,0.008763746,0.0031223914,-0.0008112955,-0.012601832,0.008440983,0.025526427,0.0009533819,-0.04785328,-0.010335467,0.0020313088,0.017583625,-0.009682923,-0.0021348037,-0.0019786842,0.0115844235,-0.006542989,-0.026326321,-0.0016655679,0.010784529,0.018874682,-0.0006069368,0.022004088,7.0330556e-05,-0.0017383652,-0.0014208636,0.015773341,-0.018088821,0.01486118,0.014026204,-0.022256687,-0.008798829,0.002945222,-0.014398084,-0.011731772,0.021961989,0.023786308,-0.048246212,0.005097567,0.034044594,-0.04493437,-0.014201619,0.004585355,-0.031995744,-0.013177194,0.02545626,-0.024586203,0.012798297,0.0086093815,0.008539215,0.007374457,0.027336713,-0.008749713,0.041398,-0.017527493,0.010195134,0.013071945,-0.001127043,-0.009928503,-0.027603345,-0.0055466304,0.008784796,0.015927706,0.0067920787,-0.020727066,0.017401194,0.008539215,0.007998936,0.0012621128,-0.013787639,-0.0017541526,-0.00061395345,0.004550272,0.0036205708,-0.02392664,-0.008349767,-0.01538041,-0.013738522,0.0027364779,-0.0018243187,0.0022242656,-0.024431836,-0.02161116,-0.018355453,0.02932943,0.03126602,-0.007360424,-0.0066622715,-0.021260329,-0.006992052,-0.01585754,0.0020558669,0.013050895,-0.013317526,1.4581393e-05,-0.001964651,0.015534775,0.0051396666,0.02100773,0.009346126,-0.028768102,0.018692251,-0.0054940055,-0.030087225,0.034830455,0.0072621917,0.04563603,-0.04389591,-0.01322631,-2.6778234e-05,-0.0045292224,0.006578072,0.0060693678,-0.017611692,-0.0207411,-0.006350032,-0.0028241856,0.00091479055,0.02187779,0.008925129,0.010777513,-0.012510615,0.007872637,0.01916938,0.004687096,-0.0045783385,0.03289387,-0.015661076,0.00018966774,0.0023645977,0.031658947,0.037047703,0.012019453,-0.0010428438,0.022242654,0.029217165,-0.031518616,-0.00087883044,-0.027898042,0.018018655,0.026747318,0.02531593,-0.024291504,0.0014094615,-0.010665247,-0.014454217,-0.00075867097,-0.0008187507,-0.008469049,-0.012756197,-0.010272317,0.0018225645,-0.010510881,0.014124436,0.0016296078,0.010047786,-0.024810733,0.009275959,0.018130923,0.0114160245,-0.015310244,0.0015594416,0.014299852,-0.017709926,0.015099745,0.015745275,0.009289992,0.003175016,-0.003771428,0.01082663,0.0043152156,0.006869261,0.0030750295,0.020516567,-0.03620571,-0.011865088,-0.0057009957,0.011191493,-0.0029487305,-0.014636649,0.021849724,-0.0019488635,0.008076119,-0.0098022055,0.023730176,0.01929568,-0.0023295148,-0.0016085579,0.002980305,0.03741257,0.0289365,0.030648554,0.0037398532,0.004308199,-0.008153302,-0.007276225,-0.018846616,-0.025049297,-0.01799059,-0.021695359,-0.005164225,-0.00086392014,-0.016587267,0.012215918,-0.0046274546,-0.0018085312,-0.016236437,0.024852833,0.009023361,0.0017962522,0.0061430424,-0.0071709757,-0.02140066,0.019744743,-0.00018484383,0.0022084783,-0.03432526,-0.0410612,0.029301364,-0.015745275,-0.01799059,0.018229155,-0.0047397204,0.017359095,-0.01768186,0.0038380858,0.00513265,0.017723959,-0.0064552813,-0.003427614,0.023435477,-0.01198437,-0.014973446,0.002287415,-0.03250094,0.04271712,-0.011710722,0.0004714285,-0.010075852,-0.0056413542,-0.01916938,-0.006911361,-0.01028635,-0.0076761716,0.008770763,-0.010819613,0.015506709,-0.0053431485,0.00459588,0.037047703,0.016783733,0.009556624,-0.042941652,-0.022775916,0.0084059,0.071737826,0.0166855,0.008623415,0.008202418,-0.0018909764,-0.0029189098,-0.030339822,-0.03516725,-0.0021944449,0.009381209,-0.0017541526,-0.018158989,0.029189099,-0.0071779923,0.027729644,0.0016664449,-0.021021763,-0.0075849555,0.012131719,-0.0019593886,-0.0076761716,-0.02231282,0.0116686225,0.013450841,0.018664185,0.0025821126,0.026228089,0.053803366,-0.00921281,-0.024431836,-0.009395242,0.039405286,-0.011401991,0.022340886,0.006960477,0.03376393,0.011542324,0.008321701,0.02554046,-0.0035925044,0.023716142,0.021190163,-0.004918644,-0.0062167165,0.015212011,0.016025938,-0.011928237,0.013528025,-0.017752025,0.017752025,0.011401991,-0.01608207,-0.017260863,-0.020235904,-0.028613737,0.016573234,0.0016743386,-0.0022593485,-0.007374457,-0.005083534,-0.024965098,0.013338576,0.022523317,-0.033174533,-0.012622882,5.5091354e-05,-0.019744743,-0.017134564,-0.008876013,-0.0020470961,-0.015717208,-0.020460434,-0.01274918,0.009816239,0.004925661,0.009184743,0.017092463,0.00093584036,0.028824234,-0.0414822,-0.020460434,-0.0060658595,-0.0053220987,-0.0051957997,-0.025035264,0.0075218063,-0.0090794945,0.0032136075,-0.023028513,0.015661076,-0.00960574,-0.0062272414,0.016545167,-0.012229951,0.0064482647,0.015997872,0.005350165,0.010174084,-0.0010559999,-0.010019719,0.019786842,-0.01829932,-0.028178707,0.005897461,0.016503068,-0.007213075,-0.0059886766,0.000402578,-0.012461499,0.0071920254,0.01594174,-0.025512394,-0.00699556,0.0017445047,0.015408476,-0.0013454349,-0.0015927705,0.0034346306,0.008419933,-0.020418335,-0.015478642,0.020755133,0.006921886,-0.0002539136,-0.010966961,0.00964784,-0.017752025,-0.029076833,-0.022060221,-0.02117613,-0.024024872,0.032529008,0.011023094,-0.0012033487,-0.025077365,-0.0049607437,-0.012657965,0.004195933,-0.010496848,-0.007921753,-0.017064396,0.0016655679,0.009661873,-0.020699,-0.006314949,-0.029638162,-0.024558134,0.023126747,0.0068832943,-0.0030311756,-0.0009139135,-0.00581677,-0.00080077065,-0.02187779,-0.007914737,-0.040387608,-0.03331487,0.015450575,0.017331028,0.052063245,0.015885606,0.016025938,0.023645977,0.0014866443,-0.0059290356,-0.008826897,0.0013849034,-0.01361924,-0.008539215,0.014040237,0.01328946,0.020586733,-0.007921753,-0.012510615,0.026522785,0.0067640124,-0.020769166,-0.023912607,0.004550272,-0.02767351,0.0047853286,0.0072621917,-0.0100548025,-0.011745805,-0.030227557,0.010623148,0.034100726,-0.026480686,0.015983839,-0.0023505646,-0.009619773,-0.0061465506,0.033399068,-0.0012472024,-0.014734881,-0.00643774,-0.006199175,-0.017176664,0.009184743,0.018046722,0.016138205,-0.0004806378,0.025259797,-0.010559998,0.013422775,0.02932943,0.0129456455,0.026915716,0.01834142,-0.024066973,0.0049081193,-0.015492675,-0.014180569,-0.014819081,0.0059781517,-0.0045923716,-0.018481752,0.025764992,-0.015310244,-0.025161564,0.0051361583,-0.019828942,0.03185541,-0.012159785,0.03541985,0.01399112,0.007704238,-0.01163354,0.030704686,-0.019281646,-0.0021751493,0.02140066,0.015689142,-0.03250094,-0.03463399,0.008440983,0.02601759,0.02618599,-0.039770145,0.014706815,0.016952131,-0.00053677073,-0.015590908,0.007276225,-0.03979821,-0.0045643053,-0.015871573,0.0022575944,0.012868463,-0.00080822577,-0.00013802989,-0.0090303775,-0.06079191,0.031378284,-0.012959679,-0.010854696,-0.0034907635,-0.011065194,-0.03842296,0.016867932,-0.005073009,0.008076119,0.026087757,0.014496316,0.03536372,0.010468782,0.007893687,-0.011303759,0.014370018,0.02610179,0.0017313486,-0.013528025,0.0043467903,0.015661076,-0.001759415,-0.0019506176,-0.01589964,-0.008370817,-0.022523317,-0.015057646,0.013598191,-0.025652727,-0.011542324,-0.02562466,-0.0010998537,-0.007851588,0.013198243,0.0027119198,-0.0042731157,-0.016545167,-0.002115508,0.018762417,0.0045011556,0.02165326,0.018004622,-0.017737992,0.0032381655,0.03912462,-0.0064552813,-0.010103919,0.024670402,0.00743059,-0.045664098,-0.006655255,-0.03126602,-0.004929169,0.018874682,-0.013373659,-0.018369487,-0.01834142,-0.0008463786,0.037440635,-0.006528956,0.010763479,-0.011815972,-0.005897461,0.00078366767,-0.024277471,-0.010440716,0.015703175,-0.018790483,-0.0009551361,0.012293101,-0.030452088,0.022172488,-0.027098149,0.002531242,0.020278003,-0.019913139,-0.0335394,0.004318724,0.02322498,-0.036738973,-0.0023751226,-0.028389204,-0.0031223914,-0.029834626,0.0207411,-0.0016146974,0.0017690628,0.03890009,0.0027926108,-0.0015796144,0.005644863,-0.0062974077,-0.028333072,-0.021540992,0.0038345775,0.0019032555,0.00012772424,0.003106604,0.025961457,0.010770496,-0.032641273,-0.025049297,-0.013275427,-0.044429176,-0.014278802,-0.005764145,0.01244045,0.018986948,0.017359095,-0.0031908033,0.023365311,-0.005855361,0.009598724,0.0067499788,-0.0112827085,0.012412383,-0.020755133,0.010202151,-0.01811689,-0.026915716,-0.025343996,0.010559998,0.0069990684,0.022607518,0.03707577,-0.0074937395,-0.0048204116,-0.0072832415,-0.002701395,-0.00581677,0.0108617125,-0.01196332,-0.043250386,0.008707614,0.011430058,0.013878855,-0.012629898,-0.0067254207,-0.017976556,-0.014580516,-0.019393912,-0.011479174,0.0059290356,-0.013626257,-0.00062097,0.019309713,0.0045888633,-0.009437341,0.04367138,0.0015068171,0.0041082255,-0.013513991,0.018481752,-0.0030522253,-0.02144276,0.001564704,-0.01486118,0.0041327835,-0.020348169,0.02022187,-0.035475984,0.035868913,-0.015015546,-0.017934456,-0.03193961,0.018551918,0.006946444,-0.002089196,-0.012980728,0.005150192,-0.02357581,-0.019281646,-0.0004670431,-0.0037433614,-0.009956569,0.00065517594,0.0011305513,-0.023814375,-0.008055069,0.028557604,0.005258949,-0.019099213,0.052343912,0.20084345,0.0063675735,0.015590908,0.005637846,-0.009732039,0.0036977537,0.012370284,-0.011240609,0.011640556,0.0011130099,-0.02958203,0.020095572,-0.01842562,0.0011787906,-0.0003501727,-0.015703175,-0.035756648,-0.018846616,-0.033904262,-0.012657965,0.008118219,0.0124755325,-0.025091399,-0.03210801,0.022467185,-0.0047818203,-0.012152769,-0.006935919,0.040724404,0.027463011,-0.006037793,-0.025077365,-0.0129456455,0.0019488635,-0.008237501,-0.0054554143,0.011310776,0.021639226,0.015576875,-0.008623415,-0.0032732487,-0.005023893,-0.0027522652,0.0010182856,0.042127725,0.018187055,0.018902749,-0.02096563,0.01637677,0.0017374881,-0.020909498,-0.014236702,0.018636119,0.0289365,-0.013675373,-0.0020102588,0.01829932,0.012166802,0.009086511,0.023309179,-0.019421978,0.04052794,-0.009739055,0.014292835,-0.011577407,-0.00792877,-0.019969271,0.006844703,0.014215652,-0.004448531,0.004652013,0.0041327835,-0.012026469,0.006655255,-0.0336236,-0.015927706,0.04336265,0.01699423,0.0030890626,0.020684967,0.0012191361,-0.009184743,-0.023547743,0.008019986,-0.011780888,-0.03676704,0.0025066838,0.026663119,-0.020853365,-0.010124968,0.004873036,-0.009879388,-0.004799362,0.009009328,-0.01956231,0.002945222,0.011900171,0.022116356,-0.03171508,0.001299827,-0.0028241856,0.0495092,0.0056062713,0.0057887034,-0.009142644,-0.0017760794,-0.0010033753,0.01856595,0.013563108,-0.027084116,0.019365845,-0.05032313,-0.016039971,-0.00641669,0.0049081193,0.00046748164,-0.007339374,-0.026691185,-0.013100011,0.010735413,-0.00039183383,-0.029273298,-0.0018909764,0.0053887563,-0.03929302,-0.002045342,-0.0006222856,-0.0014173553,-0.013577141,-0.03266934,0.0166855,-0.0291049,-0.009795188,-0.012258017,0.015001512,0.015871573,-0.024866866,-0.0058939527,0.0038872021,0.018088821,-0.017457327,-0.007185009,0.015520742,0.010468782,-0.01204752,0.0022453154,0.017667826,0.008791813,-0.0064447564,-0.030816952,-0.022677684,0.004192425,0.03115375,-0.030311756,0.03494272,-0.008918112,-0.008686564,-0.025526427,0.031827345,-0.008581315,-0.017976556,0.02958203,0.031237949,-0.00050826574,0.0037749363,0.0118019385,-0.18130921,0.00014471759,0.022691717,-0.010082869,0.015043613,-0.03149055,0.032697406,0.006223733,-0.0207411,-0.0005139667,0.0026014082,0.009297009,-0.034184925,0.010714363,-0.014482283,0.0005920265,0.02005347,0.021470826,0.016278537,0.0097530885,0.03685124,0.0018699266,0.026284222,0.00037122253,0.020095572,-0.0034065642,-0.016138205,0.042997785,0.0031241456,-0.010959945,0.009072478,0.0025733416,0.029273298,-0.007998936,-0.032472875,-0.023674043,-0.020207837,-0.01877645,-0.015913673,0.0072411415,0.014061287,0.008153302,-0.0025821126,0.005374723,0.005679946,0.00664473,0.021035796,-0.010188118,-0.004883561,-0.016825832,-0.006627188,-0.015787374,0.015829474,0.0029504846,0.005209833,0.009549607,0.007669155,0.0122229345,0.004318724,-0.0013542058,-0.010174084,-0.02361791,0.0081392685,-0.013794656,-0.016460968,-0.016839866,-0.033146467,0.017316995,0.0041819,0.0120054195,-0.028010307,0.015127812,-0.017387161,-0.021035796,0.0061009424,-0.00097092346,-0.030059159,0.014482283,0.036710907,-0.00044116937,-0.009619773,0.049845997,-0.005315082,-0.012580782,0.0058272947,-0.0036486373,-0.004736212,0.005220358,-0.017092463,-0.010363533,0.016489035,-0.0065815803,0.0034328764,-0.019857006,0.010096902,0.020446401,0.005037926,0.0014050761,0.018509818,0.0053431485,0.014496316,0.013100011,-0.022832049,0.012643931,0.014257751,0.025119465,-0.01285443,0.016503068,0.034886587,0.014762948,-0.02431957,0.0012507107,0.004950219,-0.0007349899,0.010447732,0.016011905,0.015226044,0.0075498726,-0.0031715077,-0.0073955073,0.0090794945,-0.0009498736,-0.006160584,-0.01742926,-0.0043397737,-0.016489035,-0.09739055,-0.00035916272,0.0035328632,-0.0030083717,-0.0065359725,0.013745539,0.01968861,0.015969805,-0.012580782,0.029666228,-0.028445337,-0.037833564,-0.005855361,-0.0032978067,0.05133352,0.022158455,-0.01829932,0.00040301654,0.031658947,0.034914654,-0.0023768768,-0.013654323,0.00067008624,-0.012671998,0.014664715,0.0058272947,-0.029441696,0.013598191,0.0014822589,0.03415686,-5.3419426e-05,-0.03598118,0.034886587,-0.014398084,-0.004052093,-0.01637677,-0.024347637,-0.016432902,0.005809753,-0.045860562,0.00440994,0.00745164,0.01712053,-0.017653793,-0.002022538,0.0022470695,-0.0011349368,0.014594549,0.019436011,-0.016194338,-0.049228538,-0.019702643,0.0011849301,-0.006567547,0.030564355,-0.0059044776,-0.0019716676,0.0015883851,-0.03699157,0.005785195,0.011907187,-0.018916782,-0.04240839,0.046870954,0.013275427,0.004076651,-0.03803003,0.0075709224,0.041426066,-0.01163354,-0.008651481,0.008539215,-0.036317978,0.013022828,-0.013710456,-0.00055299664,-0.0004771295,-0.007634072,0.015043613,-0.02253735,-0.006314949,-0.031995744,0.03140635,0.003080292,0.019450044,0.016180305,-0.0028592686,0.022495251,0.01720473,-0.011619506,0.027168315,0.012187852,0.019997338,-0.012405367,0.010510881,0.0033749894,-0.00019690362,0.020474467,-0.030873084,0.0056729293,-0.017878324,0.01070033,-0.068033054,0.02932943,-0.005992185,0.015492675,0.006528956,-0.018916782,0.0012401859,0.014215652,-0.009739055,-0.006718404,-0.007984903,0.016475001,-0.03224834,0.012538683,-0.007072743,-0.0051010754,0.019281646,0.010124968,0.010538948,0.010447732,-0.017022297,-0.01032845,0.017527493,-0.014201619,-0.01563301,-0.0006806112,-0.022551384,0.0037398532,-0.0003635481,-0.015534775,0.033006135,0.0029118932,-0.019000981,0.016503068,-0.008097169,-0.034016527,-0.0072200918,0.015141845,0.019464077,0.01490328,-0.019534243,-0.025329962,0.003750378,0.008455016,-0.005750112,0.011268675,0.002241807,0.0081392685,0.020867398,0.011268675,0.014622616,0.015955772,-0.028487436,-0.009837288,0.0037398532,-0.0075358395,0.008876013,0.0010200398,0.031911545,-0.004585355,0.011303759,0.014791015,-0.0021997073,-0.006385115,-0.020362202,-0.006834178,0.00581677,-0.010735413,0.022860115,-0.02314078,-0.03076082,0.0061395336,-0.0035714547,0.019337779,0.02779981,0.0070902845,-0.009121594,0.011696689,0.008504132,0.020249937,0.011844038,-0.013766589,-0.0205727,0.018916782,0.0036872285,0.007963853,0.0018874682,0.0074726897,-0.0072692083,0.013359626,-0.021344528,0.019141315,0.010651214,0.018313354,-0.019534243,0.02545626,0.0020295547,-0.002322498,0.004231016,0.03923689,0.0006722789,-0.004150325,0.010567015,-0.014047254,-0.022214588,-0.0033960394,-0.003531109,-0.0335394,0.01274918,-0.0037188034,-0.018453686,-0.013913938,0.003417089,0.0097530885,-0.017752025,0.0035381257,0.018158989,-0.015408476,-0.020081537,0.009402258,0.030367889,0.015296211,-0.021316461,-0.021119997,0.0168118,0.005336132,0.017373128,-0.011380942,0.008483082,-0.0013147373,0.002955747,-0.015141845,0.0024049433,-0.034577858,-0.025512394,-4.955481e-05,-0.006714896,0.014187586,-0.010398616,0.08925128,0.016910031,-0.007086776,-0.0027662986,-0.016980197,0.010602098,0.020249937,0.009325076,0.01799059,-0.026003556,0.050575726,-0.0034434015,-0.003950352,-0.023000447,0.0055045304,-0.005967627,-0.032192208,0.00794982,0.0031539663,0.0050765174,0.01589964,-0.008167335,0.021765525,0.026677152,-0.012180835,0.0053641982,0.004076651,-0.009065461,-0.03202381,-0.0104757985,-0.01455245,-0.008883029,-0.0043748566,-0.028543571,0.014636649,-0.015534775,0.00011138868,0.009346126,0.02636842,0.033707798,-0.011458124,0.011500224,-0.014082337,-0.028880367,-0.0043397737,-0.0027803318,-0.0047853286,-0.020783199,-0.024165206]', 'plot a bar chart of humanitarian organizations in Wadi Fira by sector using Humanitarian Data Exchange data as an image', '{"mem_type": "memory", "custom_id": "1f62a50e-59fa-4ab4-b5bf-5b5aa48a57dd"}', '1f62a50e-59fa-4ab4-b5bf-5b5aa48a57dd', 'bdf871c9-6b7d-4698-b44d-9e040edef4e5'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[0.0028554949,-0.027564483,-0.022886107,-0.0056091333,-0.0041199205,0.016058208,-0.031217268,-0.0063677887,-0.010670349,-0.008766686,0.02146714,0.0100662345,0.013269446,-0.0046818876,-0.009792275,0.010543906,0.0042569,-0.009265431,-0.0033261422,-0.006455596,-0.0014417967,0.0032207735,0.015875569,0.0004017186,0.017800305,0.0026254395,-0.009602611,-0.004007527,-0.011829406,-0.0112744635,0.026356254,-0.019500256,-0.001314476,-0.022085303,-0.005222781,-0.013185151,0.008829907,-0.0148499785,0.028252892,-0.018446567,0.005907678,-0.012869044,0.015201208,0.027817367,-0.024824893,0.006199199,-0.0071299565,0.00069367804,-0.01635324,0.03675264,0.009082792,0.0017596593,-0.019696943,-0.010375316,0.0007994859,0.012250881,-0.0024305074,0.013740093,-0.019626698,-0.024824893,-0.003082038,0.00817662,-0.045744114,-0.0023005526,0.0025973413,0.0014751634,-0.0040250886,-0.004815355,0.0187416,0.012503766,0.041023593,0.023068747,-0.0026377328,-0.025485205,0.03293127,0.0016885353,0.0021424992,0.011885602,0.012012045,-0.011913701,0.015425995,-0.035797298,-0.010185652,-0.021368796,0.018277977,-0.01082489,0.0005066484,0.026974417,0.0058866045,-0.00044145144,0.034364283,0.034027103,0.001242474,-0.007277473,-0.0002726418,0.019851485,0.0042849984,0.021256402,0.010487709,-0.041107886,-0.027311597,0.018263929,-0.01056498,0.005486203,-0.025119925,-0.03082389,-0.00015388237,0.016592076,0.014962371,-0.022380337,-0.050015066,0.015341699,-0.0074249892,-0.03385851,-0.01355043,-0.023377828,0.041810345,-0.027606629,-0.008808833,-0.015678879,0.013178127,0.032509793,0.015215257,-0.010881087,0.010361267,-0.0034332674,-0.022548927,-0.026974417,-0.001338184,-0.0001411503,-0.012714503,0.018488714,0.018292027,-0.016957354,-0.032650284,0.032622185,-0.012890118,0.010867037,-0.021790272,-0.026033122,0.0050015063,0.0340833,-0.0013311594,0.00030644765,-0.02010437,0.0012767188,-0.019120928,0.021228304,-0.0148780765,-0.0025183146,0.01499047,-0.020694435,0.005131461,-0.0028238844,-0.010684398,0.014119421,-0.0015541901,0.0015427751,-0.022886107,-0.022267943,0.0012099852,-0.036246873,-0.012974413,-0.007614653,0.006912194,0.03989966,-0.0027097347,-3.5946134e-05,-0.013304569,0.01855896,0.018292027,0.022745615,0.00434822,0.010291021,0.008829907,0.0089282505,-0.007979931,0.030599104,-0.012995487,-0.01499047,-0.025119925,0.018095339,0.00825389,0.015805323,-0.024993483,-0.029615661,0.007228301,0.000800803,-0.0010835427,0.0027062225,0.03166684,0.009040644,-0.0023743107,0.0076427516,-0.6100714,-0.010867037,-0.0025183146,-0.003275214,0.013100856,0.033942807,0.01414752,0.0022338189,-0.037286513,0.012117414,-0.0013294033,0.008612145,-0.02828099,-0.033830415,0.023363778,-0.026159564,-0.009806325,-0.020230813,0.021677878,0.008352235,-0.028421482,0.022113401,0.0124756675,-0.023911696,0.01157652,0.0033735582,-0.002186403,-0.038045168,0.022591075,-0.005739088,0.005760162,0.009848472,0.00041993865,0.023588566,0.038129464,0.0011212998,-0.015004519,0.013367791,0.038916215,0.030992482,-0.03259409,-0.035207234,0.026637236,-0.0010598346,-0.008331161,0.03526343,0.02930658,0.0009693931,-0.009405923,-0.052291032,0.009167087,-0.011190169,-0.038269956,-0.009700956,0.03290317,-0.0056442562,0.012363275,-0.052853,-0.0016832668,0.03680884,-0.013585553,0.017926747,-0.025583548,-0.030205727,-0.0011976922,0.009750128,0.0056864037,0.027143007,0.024895139,-0.0010949576,0.0011669596,0.013058709,-0.019008534,-0.02145309,0.012566987,0.019303568,0.005401908,-0.010754644,-0.011731061,0.018516812,-0.0030381342,-0.015903667,0.007263424,-0.016592076,-0.011955848,-0.00032532623,-0.011780233,-0.024164582,-0.00058479694,0.0013127198,0.0221696,0.023434024,0.008246866,-0.009138988,0.004983945,0.017139994,-0.012988463,-0.0026465135,0.014568995,-0.029362777,-0.004039138,0.0016630711,-0.011049677,-0.019556452,0.026623188,0.029250383,-0.031273466,0.010789767,0.012588061,-0.01532765,0.00061421236,0.010283996,-0.012531864,-0.003680884,0.0028010544,-0.026187662,0.013613651,0.0060973424,0.014028101,-0.006069244,0.0034947323,-0.0040602116,0.029671859,-0.011695938,0.028168596,0.024937287,0.02570999,-0.019837435,-0.016732568,0.003333167,-0.0015717515,-0.0032576525,0.031779233,-0.031975925,0.0053702975,0.013262422,-0.003001255,-0.016437536,0.0031821383,-0.010150529,0.0033191177,-0.011976922,0.014021077,-0.034364283,-0.01286202,-0.024810843,0.011190169,0.00911089,-0.031357758,-0.0054194694,-0.011892627,-0.004183142,-0.018994486,0.034701463,0.036836937,-0.009743103,-0.008612145,-0.029194187,0.0047380845,-0.018853994,0.0170276,0.011183144,-0.024305074,-0.00963071,-0.004913699,0.004839941,0.037033625,0.011140996,7.7380224e-05,-0.025485205,0.029362777,-0.023967894,-0.026847973,0.06445762,0.007698948,0.03647166,-0.03186353,0.0036633224,0.0038775725,0.01149925,0.020315107,0.0061711003,-0.036921233,-0.012412447,-0.005904166,-0.012911192,-0.015973913,0.035825398,-0.0044922237,0.030739596,-0.007361768,-0.011941799,0.020132469,0.0074249892,-0.002402409,-0.005904166,0.015088814,-0.0017508785,-0.004018064,0.01855896,0.030767694,-0.028379334,0.025513303,-0.0054089325,0.025119925,-0.00927948,-0.006132465,-0.026693434,0.026356254,0.022253893,0.016774716,-0.032818872,0.023574516,0.023405926,-0.004980433,0.031104874,-0.009553439,-0.011892627,-0.004383343,-0.0100662345,0.018137485,-0.01021375,0.016395388,-0.019050682,-0.0025639746,-0.013009536,0.0023023086,0.015299552,0.027213253,-0.0018018067,-0.0011511543,0.022886107,-0.011246365,0.040096346,0.008710489,-0.023757156,0.007853489,-0.032622185,-0.00082495,0.0062308093,0.02368691,0.032818872,0.026201712,0.0076778745,0.0144847,-0.020006025,0.011780233,0.0100943325,-0.01201907,0.00066645775,-0.0036001012,0.0072493744,-0.0004745987,0.015018568,-0.010691422,-0.007867538,-0.0010062722,-0.0035193185,0.020975418,0.019177124,0.018432518,0.006539891,0.0017175117,-0.018966386,-0.0024111897,-0.008380333,0.017968895,-0.011358758,0.0025569499,-0.04037733,0.0025850483,-0.013838437,0.0038073265,-0.019064732,0.009209234,0.0089633735,-0.009068742,0.017617665,-0.023827402,-0.010831914,-0.0027308085,-0.010909185,0.024768697,0.0061465143,-0.019753141,-0.0055143014,-0.03048671,0.038269956,-0.028772712,-0.0013689165,-0.008071251,0.004126945,0.009504267,-0.0053738095,0.0071650795,0.00010915551,0.022970403,-0.038691428,0.006466133,0.007193178,-0.012440545,-0.015496241,0.011379832,0.0017175117,0.042007033,-0.0053492235,0.014077274,-0.0030170605,-0.019205222,-0.0255414,0.00647667,-0.0027185155,0.027522335,-0.016297044,0.003944306,-0.015074765,-0.01005921,-0.012552938,0.035825398,-0.012707479,0.0061465143,-0.047120932,-0.023209238,0.017154044,0.09182541,-0.0031593083,-0.0049663833,0.009075767,0.021691928,-0.005250879,-0.021087812,-0.03779228,-0.0006071878,-0.033212252,0.00037625447,-0.021579534,0.015791273,-0.0033384352,0.03270648,-0.0014900906,-0.037089825,-0.013065733,-0.00032247248,0.010705472,0.0008793906,-0.012651282,0.019177124,0.026356254,0.019191174,0.0204275,0.019163076,0.056730572,0.00091144023,-0.017111896,0.010944308,0.01209634,0.0013820876,0.007649776,0.019064732,0.013157053,0.014007028,0.0020529358,0.025527352,0.00023268946,0.024810843,0.028660318,0.0062448583,-0.010319119,0.025527352,-0.0056266948,-0.0018246367,0.032256905,-0.024515811,-0.004580031,0.031076776,-0.005854994,-0.009167087,-0.016746618,-0.008057202,-0.018783748,0.010171603,0.01996388,-0.01064225,-0.04563172,-0.020062223,-0.0018246367,0.02093327,-0.025667844,-0.02011842,-0.0018527351,-0.008218768,-2.0250569e-05,-0.019696943,-0.021748124,-0.004267437,-0.006525842,-0.0048329164,0.027803319,0.02519017,0.0014619923,0.0019229809,0.00963071,0.008738587,-0.023560466,0.005293027,-0.019205222,-0.0043095844,0.0014391624,-0.008169595,0.0068524852,0.016788764,-0.013311594,-0.02606122,0.0047521335,-0.01267938,0.010670349,0.027002515,-0.018643256,0.0041058715,0.012215758,0.00852785,0.004664326,0.0011046164,-0.008394382,0.006701457,0.018853994,-0.025119925,0.016268944,0.004218265,0.009616661,0.0089282505,-0.0059568505,0.010438537,0.020329157,0.028885104,-0.017238338,-0.0027448577,0.01958455,-0.022043156,0.019120928,0.00587958,-0.00036132723,-0.005812846,-0.024586057,-0.017168092,-0.010410439,0.017940797,0.015229306,-0.015243355,0.00021337185,-0.02010437,-0.03661215,-0.02794381,-0.0014084298,-0.021930763,0.039056707,0.014934273,0.0036492734,-0.009426997,-0.007158055,0.012552938,0.02641245,-0.030065235,-0.0170557,-0.0065434035,-0.031751137,0.008071251,-0.026342204,-0.010803816,-0.024276976,-0.011583545,-0.0032787262,0.012630208,0.029699957,-0.016325142,-0.019654796,0.0056266948,-0.001947567,-0.018263929,-0.03610638,-0.02316709,0.011899652,0.034139495,0.03832615,0.017772207,0.002808079,0.010255898,0.0040602116,0.018081289,-0.032172613,-0.024305074,7.990468e-05,-0.01773006,0.015580536,0.026833925,0.0042569,-0.00600251,-0.028828908,0.018362273,0.022422483,0.008584046,-0.029334677,0.0005185024,-0.023434024,0.0014356502,-0.004098847,-0.0016095086,-0.0027992981,-0.006178125,0.0041409945,0.03293127,-0.0040496746,0.01653588,-0.008134472,0.021045664,-0.011070751,0.030233825,-0.017449075,-0.015369798,-0.036022086,-0.023124943,-0.011295537,-0.021214254,0.010881087,0.015102863,-0.015355749,0.018544912,-0.023195188,-0.013143004,0.02572404,0.0039162077,0.008619169,-0.007790268,-0.034645267,-0.01149925,-0.0007274839,-0.03259409,-0.01056498,0.025344713,-0.012756651,-0.032987464,0.025864532,-0.01721024,-0.03770799,-0.008373309,-0.008190669,0.018657304,-0.013297545,0.043721035,-0.010845964,0.02844958,-0.016325142,0.035347726,-0.019753141,0.0010475416,0.025780236,0.023827402,-0.024262926,-0.041950837,0.012503766,0.04565982,0.035347726,-0.023813352,0.015145011,0.0076778745,-0.009820374,-0.010073259,0.008169595,-0.018952338,-0.022085303,-0.008029104,0.021705976,-0.0036176627,-0.0076708496,-0.00038898655,-0.002690417,-0.073730074,0.03562871,-0.0045378837,-0.008703464,0.009426997,-0.025443057,-0.024852991,0.022562975,-0.021944812,0.015580536,0.056842964,0.001003638,0.009546415,0.0036036135,-0.016774716,-0.0036352242,0.013374815,0.022661319,-0.00035342458,-0.018249879,-0.0050647277,0.012286004,0.0056477687,-0.0036879086,0.0030750132,0.014611143,-0.017814355,-0.028168596,0.004650277,-0.015468142,-0.03593779,-0.032116417,-0.00014389429,-0.031245366,0.021031616,-0.009848472,0.014512798,0.016901158,-0.0100662345,0.011000505,0.0052895145,-0.007930759,0.0063326657,-0.008766686,-0.008492727,0.025091827,-0.0089423,0.008141497,0.012026094,0.0028221281,-0.029671859,0.0047767195,-0.00031852114,-0.008850981,0.0019510792,-0.019008534,-0.023771204,0.0027817367,5.6114382e-05,0.029671859,-0.021691928,0.0127707,-0.0029696445,0.004032113,0.019317616,-0.013711995,-0.011457102,0.027550433,-0.024150532,-0.0040812856,0.0306553,-0.022380337,0.030177629,-0.01551029,0.01857301,0.027648777,0.014906175,-0.026314106,-0.0052543916,0.010782742,-0.023476172,-0.016128452,-0.01994983,0.013536381,-0.012700454,-0.001494481,-0.0020423988,-0.011934775,0.015538388,0.009483193,-0.0018702964,-0.0038529863,-0.01670447,-0.017097846,-0.020132469,0.0089001525,-0.004207728,0.0057355757,-0.02930658,0.030627202,0.0023707983,-0.026524844,-0.016901158,0.009405923,-0.028885104,0.0170276,-0.0012029606,0.03259409,-0.0042147525,-0.0009044157,-0.0030556957,0.027719023,0.007038637,0.027522335,0.020567993,-0.0065574525,-0.0047626705,-0.024768697,0.015145011,-0.027634729,-0.04054592,-0.01944406,0.027719023,-0.011492225,0.030261924,0.01652183,-0.02249273,-0.00918816,-0.0044781747,-0.003814351,-0.013367791,0.011611643,0.0063045677,-0.029362777,0.0032084805,0.00757953,0.015102863,0.012946315,-0.0067225304,-0.0073406943,-0.006251883,0.010557955,-0.012756651,-0.0004675741,-0.004074261,0.004889113,0.012981438,-0.0068208748,-0.018446567,0.016437536,-0.00998194,0.0062940307,-0.007846464,-0.0047029615,-0.022380337,-0.0089071775,0.0195986,-0.0069262437,-0.016816864,-0.015369798,0.009567489,-0.02298445,0.03189163,-0.021396894,0.0032787262,0.0056653298,0.019177124,-0.024656303,-0.0023830915,-0.0074460628,0.024572007,-0.028772712,-0.0013654042,-0.0032348225,-0.020624189,-0.007038637,-0.0022865033,0.00523683,-0.030065235,-0.012777725,-0.0009983695,-0.012201709,-0.014583044,0.030964382,0.20567992,0.0054897154,-0.0016981941,0.016620174,-0.017716011,0.012840946,0.012531864,0.0113306595,0.010930259,0.01295334,-0.01566483,0.01175916,-0.006898145,0.0069402927,-0.0195986,-0.018362273,-0.022478681,-0.020539895,-0.03304366,0.010852988,-0.0004469394,0.016549928,-0.011169095,-0.024417467,0.03529153,0.032116417,-0.011562471,0.013269446,0.024080286,0.032256905,0.0040602116,0.0030258412,-0.010572004,0.0043166094,0.0018316612,0.0021846467,0.015973913,-0.0018562473,0.020820878,-0.011822381,-0.007867538,0.0037476176,-0.010410439,0.0019335177,-0.0028273966,0.0187416,-0.0037370806,-0.02044155,-0.0031470153,0.0060868054,-0.035713002,-0.0391972,0.03902861,0.011414955,-0.0059919734,-0.0053035636,0.011955848,0.022015058,-0.016718518,0.021565484,-0.013620676,0.03593779,-0.006058707,0.01652183,-0.028014056,0.019879583,-0.035179134,-0.0075865546,0.012166586,-0.028028104,0.010684398,-0.00024542154,-0.0021354747,0.02148119,-0.023462122,-0.02198696,0.02520422,0.0124756675,0.0017473662,0.04107979,-0.006943805,0.0014681389,-0.011850479,0.0113025615,-0.007867538,-0.025836434,-0.0075514317,0.012960364,-0.030795792,-0.012847971,0.018348223,-0.0003297166,-0.029166088,-0.014358257,0.0020827902,0.002474411,0.013466135,0.007474161,0.008485702,-0.025639744,-0.010283996,0.054145522,-0.0054651294,-0.0054545924,-0.04054592,-0.0006673358,0.0124194715,0.04040543,0.005482691,-0.020048173,-0.008485702,-0.028042154,-0.013494233,-0.014611143,0.013592578,0.0018861018,-0.02350427,-0.009237333,0.006943805,-0.0074179647,0.012763676,-0.04838536,0.014765684,-0.015173109,-0.035319626,0.0036422487,-0.028084302,-0.023448074,0.016999502,-0.040433526,0.018446567,-0.014105372,-0.017800305,-0.015341699,0.0010738838,0.0046116416,-0.009146013,0.005753137,0.0033718022,0.0032804825,-0.0070702475,-0.011393881,0.015931765,-0.0015524339,-0.0025762676,-0.014906175,0.0034982446,-0.015482191,-0.012222783,-0.011885602,-0.014470651,0.005904166,0.019458108,-0.023462122,0.024220778,-0.024347221,-0.018713502,-0.008078276,0.027494237,-0.0003180821,-0.019668845,0.014554946,0.038438544,-0.0025042654,-0.001003638,0.011913701,-0.1805038,0.019823387,0.01321325,-0.016915208,0.014906175,-0.017954847,0.033914708,0.021846468,-0.02674963,0.0014663826,0.0033647774,0.012918217,-0.018783748,0.015706979,-0.010087308,0.010052185,0.0054089325,0.026623188,-0.019696943,0.009455095,0.0019809338,-0.0021214255,0.00944807,-0.00920221,0.016212748,0.0062167603,-0.001051054,0.018685404,0.0012881338,0.001172228,-0.002054692,0.015215257,0.03489815,-0.01739288,-0.030739596,-0.024867041,-0.04144507,-0.038803823,-0.012391373,0.009869546,0.0033858512,0.0064029116,0.003155796,0.0148218805,0.008401407,0.01140793,0.024150532,-0.025976926,0.008612145,-0.033493236,0.004506273,0.016732568,0.0016779983,0.0059217275,-0.00834521,0.020188665,0.0022935278,0.017182142,-0.013894634,-0.0012565231,-0.015285503,-0.015805323,0.015692929,-0.018797796,-0.027817367,-0.0110848,-0.0426252,0.01218766,2.8708887e-06,0.026314106,-0.021396894,0.00067260425,-0.019387862,-0.017013552,-0.0089633735,-0.0038424495,-0.030430514,0.0036773717,0.015145011,-0.007867538,-0.003456097,0.011176119,-0.028505776,0.0077059725,-0.01431611,0.00037713256,0.0018738088,0.017111896,-0.0015041399,-0.0089493245,0.03737081,0.012440545,0.021776222,-0.014948322,0.015482191,0.03492625,-0.0016718518,0.010150529,0.019303568,0.0053632725,0.009181136,-0.00054045423,-0.013114905,0.017912699,-0.004323634,0.007063223,-0.023700958,0.02589263,0.035432022,-0.024431515,0.0012012045,0.012763676,0.011372807,0.0047486215,-0.011990971,0.028941302,0.008682391,-0.0136768725,0.02298445,0.0019563476,0.014751635,0.022970403,-0.0066382354,-0.028828908,0.0007986078,-0.013072758,-0.08806023,0.027044663,-0.00083943823,-0.008668342,0.00068401924,-0.0048223794,0.019345714,0.015482191,-0.029334677,0.0088720545,0.0101013575,-0.052853,-0.0012266686,0.023405926,0.028772712,0.00944807,-0.022127451,-0.0036246872,-0.003252384,0.027915712,0.0015989718,-0.0062589077,0.011625692,-0.0074390383,-0.011941799,0.0289694,-0.022253893,0.011695938,-0.0010914453,0.016620174,-0.021523336,-0.035853494,0.022141501,-0.023630712,-0.008647268,0.0009544659,-0.026356254,-0.012890118,-0.0075163087,-0.02693227,-0.0010080283,-0.016058208,0.023138992,-0.035825398,-0.011569496,-0.006311592,0.011815356,0.013044659,0.03352133,-0.03186353,-0.05431411,-0.012117414,-0.007944808,-0.006279981,0.026609138,0.011913701,0.0028765686,0.0113166105,-0.019345714,0.00080036395,0.033830415,-0.011379832,-0.030571006,0.025934778,0.022099353,0.014737585,-0.0106563,0.013395889,0.023068747,-0.011211242,0.022858009,-0.0074530877,-0.03546012,-0.0007064101,-0.016479682,0.0014031614,0.016451584,-0.022239845,0.007172104,-0.02350427,-0.01295334,-0.01583342,0.01924737,-0.0054054204,0.0017956602,-0.001182765,0.017744109,0.009771202,0.019036632,-0.005472154,0.0124475695,-0.004007527,0.021579534,-0.0089282505,-0.025976926,-0.0006958732,-0.011752135,0.0006515305,-0.0048329164,0.006265932,-0.01840442,0.016732568,-0.07277473,0.027367793,-0.007122932,-0.0032313103,-0.004948822,-0.013824388,-0.001206473,-0.008569997,-0.0041550435,0.007902661,-0.017603617,0.02181837,0.004077773,0.016943306,-0.0017947821,0.008584046,0.03273458,0.010164578,0.037764184,0.01704165,0.0010018818,-0.00028361773,0.021228304,0.005166584,-0.005345711,0.012152537,-0.017322633,0.0010852988,-0.003789765,0.0027571507,0.02386955,0.001159935,-0.029109892,0.009230308,-0.005809334,-0.031442054,-0.026552942,0.01924737,0.0074671367,0.017477173,-0.012897143,-0.018629206,0.010557955,-0.014681389,-0.009307579,0.012651282,-0.0066874074,0.016268944,0.027803319,0.009314603,0.00757953,0.02249273,-0.018713502,-0.0052649286,-0.00088773225,0.011920725,0.027620679,0.0053386865,0.009223283,-0.018868042,0.013431012,0.0213126,0.026089318,-0.014189667,0.0009298798,-0.023448074,0.025077779,-0.0067436043,0.026721532,-0.0443111,-0.03902861,-0.013346717,-0.00069016573,0.024220778,0.01839037,-0.0056302072,-0.008246866,0.00030666715,0.009342702,0.033970907,0.023981942,0.00970798,-0.05383644,0.026637236,0.0148218805,0.0043552443,-0.0032365788,-0.009174111,-0.001350477,0.0061359773,-0.029896645,0.026454598,0.0063291537,-0.014498749,-0.021059714,0.016156552,-0.020048173,-2.2500633e-05,0.0037160069,0.01532765,0.009377824,0.0011388613,-0.016915208,0.0014619923,-0.010761668,0.0039618677,-0.0018667842,-0.01431611,-0.0031364784,-0.009363775,-0.008766686,-0.0005487959,0.0068559977,0.016971404,-0.006301055,-0.00016233383,0.015411945,-0.010003013,-0.013304569,-0.0028484704,0.02624386,0.020034123,-0.020062223,-0.010291021,-0.0011845211,0.0013162321,0.011457102,-0.024459613,0.014140495,0.007558456,-0.0058163586,0.011513299,-0.0053141005,-0.026356254,-0.025344713,-9.620393e-05,0.029250383,0.010572004,-0.032256905,0.092106394,0.019542404,-0.0011511543,0.008703464,0.009412947,0.0075373827,0.013613651,-0.006315104,0.0028502264,-0.009581538,0.01994983,0.010726545,0.012363275,-0.033493236,-0.007126444,-0.013227299,-0.015945815,0.021382844,0.006789264,-0.01099348,0.01685901,0.0014365282,0.038241856,0.015931765,-0.01047366,-0.002379579,0.006539891,-0.008190669,-0.020258911,-0.03169494,-0.01635324,0.023307582,-0.016915208,-0.0148499785,0.016844962,-0.04211943,-0.007958858,0.02076468,0.049677886,0.024852991,-0.017406927,0.005591572,-0.0068700467,-0.020820878,0.013922733,-0.02027296,-0.010010038,-0.030402416,-0.008808833]', 'provide a list of organizations providing food security in Wadi Fira, Chad', '{"mem_type": "memory", "custom_id": "570e26ee-3ff7-438f-b2d3-feb826b956b4"}', '570e26ee-3ff7-438f-b2d3-feb826b956b4', 'ed42d07c-7f18-4e44-9a4b-57989c4b7df6'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.015848855,0.0167992,-0.007829392,-0.018012721,0.0013734334,0.009693534,-0.031054398,-0.011886641,-0.021580175,-0.027984047,0.013341402,0.022428175,0.0007685013,-0.01638982,-0.028934395,0.022340452,0.010877811,-0.020893002,0.013677679,-0.012420297,0.0017435203,0.018012721,0.01554182,0.007306702,0.0059506306,-0.00026180217,0.008377669,-0.025834803,-0.025790941,0.0031361433,0.012383745,-0.025323078,-0.0077051166,-0.030060189,-0.027516184,0.0052963537,0.008713946,-0.0132609885,0.044944078,-0.0037410753,0.00490525,-0.009050222,0.026302665,0.0139116105,-0.020410517,0.0058226995,0.007668565,0.026127217,-0.01471575,0.0046932492,0.0052524917,0.02965081,-0.008896705,-0.019811068,-0.014503749,0.00839229,-0.009298774,-0.0033481438,-0.0061918725,-0.01370692,0.009116015,-0.005895803,-0.01697465,-0.0073688403,-0.02476749,-0.031376053,-0.00552663,-0.0057166996,0.03128833,0.026054114,0.008253394,0.010526914,0.002651832,-0.0359962,0.019986518,0.02087838,-0.010358776,0.016828442,-0.0028985566,0.004890629,0.033422954,-0.02393411,-0.00023415989,0.0028492117,0.024840593,0.013743471,-0.009488843,0.060705207,-0.0034705922,-0.009145257,0.013465678,-0.0127127115,0.006180907,0.015234785,0.016258234,0.012010917,-0.010095604,0.032165572,0.005998148,-0.022413556,-0.025396181,0.008889395,-0.025893286,-0.009664292,-0.019518655,0.00777091,0.0024617629,0.0056984234,0.015907338,0.029475361,-0.0071933917,0.029314533,0.014759611,-0.022647487,-0.0063453903,-0.025498526,0.020746794,-0.008611601,0.0014885715,0.002986281,-0.0011002087,0.020907622,-0.00031137554,0.0035053163,-0.0010609156,0.03845248,-0.011111743,-0.05397968,-0.019547895,0.009488843,0.014050507,-0.0009540016,-0.0043898695,0.009839741,-0.01535175,0.026448872,-0.005895803,0.0076612546,-0.023056867,-0.017486375,0.013743471,0.026682803,0.02679977,0.007653944,0.010592707,0.032633435,-0.002319211,0.007675875,-0.015658785,-0.01574651,0.021126933,-0.013889679,0.013641126,0.009583878,-0.014087059,0.0055778027,0.000114738345,0.02639039,-0.0017709341,0.014766922,-0.012317952,-0.023817144,-0.010263742,-0.0073359436,0.0036204546,0.0503245,-0.01657989,-0.025440043,0.007829392,-0.016126648,-0.0022680385,0.051464915,0.0011395019,0.010373397,-0.012113262,0.018115066,0.013348713,0.011009398,-0.0030685226,-0.008567738,-0.02659508,0.020585965,-0.001780072,0.004338697,-0.003885455,-0.0010700535,0.020015758,-0.011469951,0.016462924,0.00011616615,0.048423808,0.013312161,0.0022406245,-0.004974698,-0.6077539,-0.02207728,-0.0152055435,-0.011923193,0.031142123,0.011301813,0.01514706,-0.0015909165,-0.0339493,0.040674828,-0.008947877,0.021214657,-0.0029204877,-0.03886186,0.012332573,-0.014818095,-0.025337698,-0.0030374534,-0.0032695574,-0.00050304394,-0.03187316,0.010051741,0.009583878,0.036961168,-0.02516225,0.0054900786,0.004678629,-0.013509541,-0.006378287,0.03766296,-0.032341022,0.016433684,-0.012551883,-0.0008895791,0.03985607,-0.025820183,-0.017325547,0.024913698,0.008297255,0.0103076035,-0.031405296,-0.0076027717,0.01758872,-0.012179055,-0.01984031,0.009839741,0.014057817,-0.02065907,0.004057248,-0.032808885,-0.013195195,-0.025308456,0.010073672,-0.0048284912,-0.010790087,-0.004452008,0.013728851,-0.018012721,0.01593658,-0.0021346244,-0.015600302,-0.025206111,-0.007259185,0.014883888,-0.003954903,0.01941631,0.0034358678,0.007946358,-0.0048577324,-0.037136614,7.921457e-05,0.029913982,-0.014174783,0.016960029,0.019752586,0.010541535,0.037341304,-0.025688596,-0.008677394,0.025907906,0.022340452,-0.017559478,-0.01903617,0.005340216,0.009452292,-0.007401737,-0.02599563,0.010563467,-0.0075515993,0.036697995,0.017705686,-8.9037865e-05,0.025790941,-0.022779074,0.00419249,0.042692486,-0.012529952,-0.013429127,0.01903617,-0.024840593,-0.0066451146,-0.0241388,0.0098105,-0.008757808,0.028744325,0.0031854883,-0.026945977,0.014416025,0.031843916,-0.008501946,-0.019182378,-0.015995061,-0.018699894,-0.041815244,0.011009398,-0.03166847,0.04459318,0.0069813915,0.006038355,-0.010665812,0.03497275,-0.0020395897,0.026171079,-0.01533713,0.024635904,0.03783841,0.004108421,-0.010402638,-0.02106845,0.0069448394,-0.018846102,-0.00062686316,0.03988531,-0.01821741,0.040791795,-0.013348713,0.021565555,0.0013186057,-0.018100444,-0.019518655,-0.011725813,-0.011360295,0.0028693152,-0.022413556,-0.008648152,-0.038306274,0.012778505,-0.0018138824,-0.0055741477,-0.017442513,-0.00449587,-0.017033132,-0.015834235,0.016331337,0.025469285,-0.016243614,-0.0068680807,-0.0049381466,0.0102345,-0.019811068,0.006213804,0.00736153,-0.0030374534,-0.014986233,0.0046749734,0.008509256,-0.0012509848,0.03766296,0.023875628,-0.01248609,0.01043188,-0.013801955,-0.030206397,0.012427608,-0.008699325,0.01861217,-0.011638089,0.002999074,-0.0016027958,-0.034417164,0.015410233,0.0055375956,-0.02007424,-0.018963067,0.03906655,0.0024434868,-0.0034925232,-0.009832431,0.009357258,0.005135526,-0.012968574,0.0072518745,-0.028802808,-0.0011358467,0.010600018,0.011974365,0.0047700084,0.03269192,0.0062722866,0.0143283,0.044271525,0.02601025,0.027896324,0.007924427,0.02416804,-0.04029469,-0.0028199703,-0.008099876,0.0024910043,-0.0021126934,0.016258234,-0.047400355,0.0048138704,5.382822e-05,0.0025129353,0.026565839,-0.008121807,-0.014511059,-0.0245628,-0.011667331,0.02678515,-0.016565269,0.031609986,0.00036620322,0.0088236015,-0.02435811,0.007303047,0.052926987,0.015790371,-0.011850089,-0.00880167,0.014635336,0.0033572817,0.0006510787,0.02311535,-0.015439475,0.007865945,-0.016843064,0.014840025,0.00685346,-0.017033132,0.013853127,0.023232315,-0.01924086,-0.0010709673,-0.0038086963,-0.0009594844,0.0099347755,-0.007924427,0.017018512,0.014182094,0.014291748,-0.0052817333,0.0093864985,0.008282634,-0.014269818,0.00055101817,0.03248723,0.038569447,0.02944612,0.018992309,0.005957941,0.0035436957,0.014087059,-0.014437956,-0.01717934,-0.018392859,-0.0040060757,0.0026445219,0.0010051741,-0.006466011,0.001206209,0.019460171,-0.019767206,0.0050806985,-0.009393809,-0.0018147962,-0.020249689,0.015848855,-0.0028382463,-0.044066835,-0.017471755,0.01389699,0.01022719,8.218441e-05,-0.031551503,-0.0368442,0.019474791,-0.04073331,-0.009547327,0.015190923,-0.0056764926,0.030615777,-0.011630778,-0.01758872,0.0033262125,0.009086774,0.0021565554,-0.01329754,0.02026431,-0.02802791,0.01125795,-0.014255197,-0.023261556,0.02231121,-0.014686508,-0.01105326,-0.003439523,-0.016082786,-0.0014511059,-0.005091664,-0.01165271,0.00048476807,0.021448588,-0.008955188,-0.012171745,-0.03576227,0.0152055435,0.019723345,-0.0058044237,0.009956706,-0.051084775,-0.017661823,0.01941631,0.029373016,0.024796732,0.011740434,0.0045543527,0.0018129686,0.017047754,-0.014803474,-0.026872873,0.012727332,-0.009123326,-0.012939332,0.006992357,-0.010000569,0.012515332,0.036902685,-0.018334376,-0.018992309,-0.035118956,-0.017808031,0.010607328,-0.01837824,0.0036021785,0.019621,0.02741384,0.011930503,-0.00019098309,0.022676729,0.009576568,-0.007240909,0.00089917396,0.00034609972,0.009854361,-0.0070544947,0.022793693,-0.0026554873,0.021916451,0.02760391,-0.017310927,0.010746226,0.0067182183,0.0015826924,-0.0053109745,-0.0011696572,-0.004225387,0.025030663,-0.008341118,-0.030761983,0.038160067,0.00057660445,-0.0070069777,0.013772713,-0.0134510575,0.0058775274,-0.0145622315,-0.003845248,-0.008443463,0.0071714604,-0.023086108,-0.017822651,-0.026346527,-0.036054682,-0.0034596266,0.019694103,-0.024051076,-0.009905534,0.0021145209,-0.02188721,-0.0015059336,-0.021741003,-0.003200109,-0.0040389723,-0.02410956,-0.0054754578,0.036902685,0.0013359678,0.019562516,0.017427891,-0.02640501,-0.0017234167,-0.0056216647,-0.021828728,0.0054535265,0.01392623,-0.008626222,-0.024197282,-0.00035044024,-0.017691065,0.001931762,-0.004539732,0.01349492,-0.01941631,-0.018319756,0.010483053,-0.01452568,-0.0033974885,-0.0074127023,0.0035674544,-0.0030648673,0.0044300766,-0.014452577,-0.0006213804,-0.027106805,-0.02250128,0.008436153,0.01452568,0.0012528124,-0.024811354,0.015790371,-0.0319024,-0.02007424,-0.014423335,0.0033170746,-0.0093864985,0.0023173832,0.011930503,-0.018305134,0.018290514,0.025717838,-0.010161397,-0.009781258,0.023656316,-0.012442228,3.3467728e-05,0.007632013,0.00062594935,0.03237026,-0.0100225,-0.03152226,-0.006082217,0.010249121,0.016492166,0.0127127115,-0.015322509,-0.011842779,-0.020352034,-0.0037794549,-0.021185415,-0.012208297,-0.030440329,-0.01678458,-0.004166904,0.0006136131,-0.008494635,-0.015264026,-0.020600587,-0.014679197,-0.0051647676,0.0034376956,0.018305134,0.0027669703,-0.016930787,-0.011477261,0.00838498,-0.016536029,-0.03985607,-0.009437671,-0.014774232,0.009737396,0.043423522,0.016521407,0.044388488,0.019591758,0.027750116,-0.0003591213,0.008099876,-0.0024983147,0.014145541,-0.014986233,-0.020951483,0.00439718,0.026931357,0.008611601,-0.0032457986,-0.009042912,0.0022442797,0.007401737,0.005343871,-0.02330542,0.0012153469,-0.012690781,-0.011937814,-0.012975885,-0.025483906,0.0010654846,-0.040704068,-0.016258234,0.05599734,0.0018321583,0.0042655934,-0.0013332264,0.0062174588,0.0065975976,0.02108307,0.0120694,-0.005826355,-0.016316717,-0.0003698584,-0.005113595,0.018948447,0.02966543,-0.009898224,0.00023553058,0.0023557628,-0.014160162,-0.008699325,0.016857684,-0.001673158,0.0065427697,-0.01186471,-0.017895754,-0.01862679,-0.0077928407,-0.040996484,-0.020337414,0.01287354,0.023480868,-0.020103483,0.014130921,0.009532706,-0.016199753,0.008874774,-0.008297255,0.020527484,-0.0073140124,0.03538213,0.00623939,-0.000498475,-0.018085824,0.031960882,-0.0050149052,-0.022048037,0.04117193,0.03207785,-0.022559762,-0.009920155,0.018115066,0.039622135,0.024738248,-0.033218265,0.0113237435,0.014277128,0.006155321,-0.017442513,0.017559478,-0.04851153,0.012171745,-0.023276178,-0.0079756,0.015366371,0.004174214,-0.010848571,0.009715465,-0.039505173,-0.0060785622,0.0075515993,-0.018758377,0.0071239434,-0.005007595,-0.024197282,0.022238107,-0.022691349,0.0053548366,-0.007931738,0.0049673878,0.0046895943,0.0019189687,0.026331907,0.004971043,0.007430978,0.029855499,-0.04851153,0.0031964537,0.017617961,-0.0032659022,0.014240576,0.0034285577,-0.01903617,-0.019854931,-0.026273424,-0.008341118,0.01634596,-0.0294315,-0.0139043,-0.013056298,-0.010388018,-0.031726953,-0.03909579,-0.0020688311,0.02003038,0.0021565554,-0.032019366,0.007390771,0.016316717,0.02596639,0.0067986324,-0.01370692,-0.0059798723,0.016302098,-0.007814772,0.026317287,0.034855783,0.008816291,-0.04216614,-0.006707253,-0.0030447638,0.0023557628,0.009920155,-0.03231178,-0.033422954,-0.001232709,-0.0019683137,0.018451342,-0.00705815,-0.0017709341,-0.00016779554,0.0088309115,0.017310927,-0.03049881,-0.021697141,0.05745941,-0.014803474,0.0035126267,-0.0042473176,-0.01922624,0.033715367,-0.02045438,0.018802239,0.044066835,-0.02232583,0.0036752822,-0.0143794725,0.02125852,-0.017252443,0.015439475,-0.035645302,-0.0055924235,-0.017413272,0.013085539,0.018115066,-0.011287192,0.032048605,-0.0024891766,-0.023349281,-0.019679481,-0.035235923,-0.03435868,-0.024709009,0.0030941088,-0.009554637,-0.013992024,-0.008282634,0.02516225,0.024372732,-0.021974934,-0.026068734,-0.002381349,-0.024124179,-0.0016585373,-0.0062174588,0.015995061,0.0047371117,0.019460171,0.010600018,0.034738816,-0.007515047,-0.006875391,-0.016316717,-0.0073103574,-0.012866229,-0.040996484,0.026565839,0.008107186,-0.018963067,0.0029917636,0.022589004,0.001860486,-0.008882084,0.034680337,-0.013516851,-0.007529668,-0.028788187,0.021536313,0.0019646585,-0.003724627,0.0037904202,-0.03237026,-0.003569282,-0.0042034555,0.021580175,0.004108421,-0.014211334,-0.0038744893,0.00777091,-0.006093183,-0.011572296,0.01843672,-0.005204974,-0.02372942,-0.0012637781,-0.0057569062,-0.015980441,0.041610554,0.0237148,0.00839229,0.013187884,0.055061612,-0.035118956,-0.011119054,0.021433968,-0.0043313866,-0.012354504,0.0056106993,0.0060200794,-0.030235639,0.0048833187,-0.011543054,-0.035820752,-0.030060189,0.02416804,0.008165669,-0.03315978,-0.017837271,0.026960598,-0.011075191,0.005194009,0.030323362,-0.00060630275,-0.045996767,0.02147783,0.01024181,-0.0037940755,-0.017924996,0.02495756,-0.00033901783,-0.0132609885,0.04237083,0.17895755,-0.0104903625,0.0037063512,0.044300765,-0.03152226,0.00046055252,0.018305134,0.010548846,0.033130538,0.009496154,-0.021726383,0.007317668,-0.0063161487,0.006264976,0.014569542,0.0007250961,-0.043832902,-0.037107375,-0.023188453,0.007200702,0.0043679387,0.02206266,-0.04231235,-0.026273424,0.00583001,0.01349492,0.0020633484,0.00081556174,0.020366656,0.008648152,-0.010161397,-0.022589004,0.020776035,0.011236019,-0.03231178,0.008224152,-0.0075662197,0.0004925353,0.03666875,0.019270102,0.010885122,-0.0076247025,-0.023086108,-0.0007205271,0.013721541,-0.0022314866,0.010285673,-0.011996296,-0.017150098,-0.0066195284,-0.02106845,-0.0074200127,0.008509256,0.02372942,-0.00470787,-0.0009448637,0.009744707,0.009174499,-0.034738816,0.018714515,0.017120857,0.027633151,-0.005599734,0.0090136705,-0.022603625,0.018480584,-0.031843916,-0.014671887,0.0028291084,-0.02108307,0.015161681,-0.0017965203,-0.0034376956,0.0058629066,-0.0143283,-0.013948162,0.005826355,0.012464159,0.013326782,0.017559478,-0.017939616,-0.027150666,-0.012025538,-0.011974365,-0.01717934,-0.03298433,-0.0056180097,-0.012654228,-0.042604763,0.00025129353,-0.00695215,-0.017939616,-0.018129686,-0.015000854,-0.0167992,0.0045470423,-0.0033846954,-0.0016146752,-0.0020304518,-0.031376053,-0.037370548,0.059447825,-0.007668565,0.008165669,-0.00037671186,-0.02761853,-0.006403873,0.011301813,-0.0094742235,-0.0035126267,-0.014796163,-0.046142977,9.172214e-05,-0.008896705,0.010051741,0.0003413023,-0.008867463,-0.027136046,0.007544289,0.004824836,0.002799867,-0.037136614,-0.009320705,0.004751732,-0.026244182,-0.005767872,-0.023246937,-0.01738403,-0.0022095556,-0.020980725,0.004272904,-0.0015095888,0.028700463,-0.012851608,-0.010497673,0.030235639,-0.013948162,0.0020925899,0.0059396653,0.00020023526,0.0042034555,-0.020045,0.011177536,-0.015161681,0.00879436,-0.028159497,-0.0024361766,0.010132155,0.0060785622,-0.020600587,-0.031639226,-0.021857968,0.008107186,-0.02312997,0.030177156,-0.012200986,0.005658217,-0.009759327,0.012040159,0.010526914,-0.0030685226,-0.0021108657,0.026741287,-0.004280214,-0.0066999425,0.015424854,-0.18995233,0.015468716,0.009678913,-0.009598499,0.007102012,-0.013312161,0.021901831,0.017661823,-0.011002088,-0.0027560047,-0.018071203,0.020118104,-0.02557163,0.00065564766,0.0068169083,0.017924996,-0.009649672,0.021960314,0.009262223,0.008713946,0.029007498,0.012105952,0.015278647,-0.022033418,0.0084580835,-0.00747484,0.000961312,0.036610268,-0.0019756241,-0.009949396,-0.028071772,-0.032896608,0.01614127,-0.00055695785,-0.0036624891,-0.00281266,-0.014021265,-0.018480584,-0.009971327,0.0013012436,-0.004174214,0.024431214,0.0128954705,-0.0011184847,0.014350232,0.012771194,0.00757353,-0.0022515901,0.022983763,-0.0027889013,0.020644449,-0.04193221,0.025337698,-0.004309456,0.010519604,0.008282634,0.015220164,0.02601025,0.004623801,-0.00084617385,-0.040177725,-0.011930503,0.0073249782,-0.02027893,-0.009167188,-0.0023502798,-0.041230414,0.008494635,0.003925662,0.020951483,-0.027136046,-0.0054133194,0.0060493206,-0.007646634,0.022472039,-0.0029387637,-0.047751255,-0.0035199372,0.018392859,0.008501946,-0.01843672,0.04009,0.0013186057,0.03333523,-0.0039183516,-0.0061626313,0.004685939,0.008626222,-0.00033856093,-0.0002572332,0.0084580835,-0.010453811,0.02805715,-0.0062613213,0.029270671,0.018465962,-0.018363617,-0.0064550457,0.02761853,-0.005585113,0.0014218645,-0.014204024,-0.014620715,0.014803474,0.021624036,0.00044044902,-0.019313965,0.015790371,0.02845191,0.0013688644,-0.0241388,0.0006876305,0.014247887,-0.0059067686,0.011484572,0.020542104,-0.020337414,-0.013027057,0.011440709,0.031726953,0.022545142,4.6632085e-05,-0.0093791885,-0.005219595,-0.0047773183,-0.008648152,-0.097666375,0.014913129,-0.0029881087,-0.0029131775,0.020600587,0.026171079,-0.011725813,0.009700844,-0.02232583,0.017281685,-0.014342921,-0.011967055,0.0018239341,0.0012573815,0.052663814,0.0060456656,-0.0010453811,0.00037214288,0.01329754,0.042429313,-0.02250128,-0.01717934,0.0037575236,-0.009605809,-0.010790087,0.034124747,-0.022472039,0.007873255,0.009825121,0.0003872205,0.014138231,-0.028875912,0.022793693,-0.011002088,-0.012822366,-0.012815056,-0.0167992,-0.016448304,-0.004908905,-0.03210709,-0.017500995,0.020015758,0.012325263,-0.020732174,0.018875342,-0.024577422,-0.009868982,0.024899077,-0.008692015,-0.026024872,-0.035323646,-0.0216679,0.0029881087,-0.025220733,-0.01472306,0.010673122,-0.0057569062,0.0143721625,0.00125464,0.013940851,0.0027486943,0.014752301,-0.028130256,0.02147783,0.0003399316,0.011645399,-0.018012721,0.01432099,-0.007021598,0.0013825713,-0.009744707,0.03596696,-0.005855596,-0.02741384,-0.02760391,0.0066378047,-0.03237026,0.0059762173,0.012800436,-0.027677013,-0.021141553,-0.011082502,-0.011294502,0.0132682985,-0.0065318043,0.03029412,0.006915598,-0.0058629066,0.020936863,-0.021580175,0.007917117,0.01554182,-0.001865055,-0.011119054,-0.0065866318,0.022881418,0.014986233,-0.0036350752,-0.0032933159,-0.017617961,-0.058131963,0.005300009,-0.06368783,0.014737681,0.01103864,-0.012149814,-0.01574651,-0.006184562,-0.0017599686,-0.00070910464,-0.020015758,0.014269818,-0.005957941,0.008940567,-0.03558682,0.0075369785,-0.016112028,0.013794645,0.010000569,0.0033993162,0.040791795,0.018129686,-0.010614639,0.012595746,0.03295509,0.012807746,-0.0039878,0.014503749,-0.007036219,0.02886129,0.0009073981,-0.004835801,0.0241388,-0.001691434,-0.02087838,0.0082753245,-0.0059213894,-0.03231178,0.009101395,0.00839229,0.016097406,0.008326497,-0.023539351,-0.016843064,-0.016916167,-0.0039037308,-0.0074163573,0.030732742,-0.00035683683,-0.008282634,0.01984031,0.0040901448,0.032457985,-0.005336561,-0.013319471,-0.016916167,-0.0070142876,-0.020819897,0.00014689249,0.022939902,0.035060473,0.015264026,0.028715083,0.018685274,0.021009967,-0.0070471843,-0.0107681565,-0.0055668373,-0.0001722503,0.03476806,0.0020852794,-0.042253867,-0.02396335,-0.012997815,0.008852843,0.0167992,0.02272059,-0.010322224,0.008735877,0.008882084,0.009971327,0.00038996188,0.008677394,-0.0042436626,-0.019796448,0.029797016,-0.008670084,0.024694387,-0.025644733,0.028510394,-0.0096569825,0.019664861,-0.022033418,-0.0005861993,0.011411468,0.015366371,-0.021156175,-0.0050258706,0.004155938,0.0018339859,0.026551219,0.050646156,-0.015132439,-0.014043196,-0.008355739,-0.032399505,-0.011448019,0.0028254532,-0.010000569,-0.02598101,0.035265163,0.009159878,-0.0095692575,-0.0013478472,0.022559762,0.014598784,-0.0038013859,0.014108989,0.020059621,0.007507737,-0.024080317,0.016302098,0.015439475,0.025893286,0.015366371,0.0006858029,0.013202505,0.002158383,0.0019408999,-0.013516851,0.018509826,-0.009306085,0.0025330388,0.020410517,-0.01103864,-0.016009683,-0.006820563,0.010600018,0.01922624,0.040616345,0.008151049,0.117082685,-0.009978638,0.0059506306,-0.005771527,0.009854361,0.0479267,0.0141894035,0.023173833,-0.048423808,-0.0138238855,0.037136614,-0.0066341492,-0.012398366,-0.034504887,-0.009766637,0.007697806,-0.01432099,0.028715083,-0.036931925,0.011184847,-0.008428842,0.016813822,0.022135762,-0.006963115,-0.024065696,-0.004459318,0.044710144,0.010256431,-0.009232981,-0.0050222157,-0.009715465,-0.008713946,-0.009042912,-0.021843348,-0.008516566,-0.014416025,-0.0008904929,0.0011532089,0.03415399,-0.012244849,-0.0013487609,-0.0020633484,0.0012738297,0.008406911,0.0036515235,-0.017881135,-0.02067369,-0.017267063,-0.020469]', 'provide the total population of Mali using HDX data as text', '{"mem_type": "memory", "custom_id": "cdec3c66-84e7-40b7-9931-b83b7c99a5b8"}', 'cdec3c66-84e7-40b7-9931-b83b7c99a5b8', '75d9d3bd-8fe9-4b10-820d-0d3be7ff2b43'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.009034847,0.007701032,-0.0023956033,-0.036757156,0.004082178,0.015275702,-0.014671975,-0.0034117606,-0.0011723539,-0.008262638,0.0048263073,0.029512431,0.015584585,-0.0018164467,-0.0062759547,0.01759233,0.0061636334,-0.02942819,0.011182993,-0.022408105,-0.026325313,0.024584332,0.033499837,-0.028698102,-0.011667379,0.0090699475,0.008206477,-0.025426742,0.009034847,-0.011000471,0.029737074,-0.017564248,-0.0043419213,-0.038947422,-0.020568844,-0.0016611273,-0.0013452235,-0.020259961,0.022197504,-0.0012495748,0.004577094,-0.03681332,0.0003869821,-0.009420952,-0.0049175685,0.011590158,-0.0072728065,-0.011407635,-0.022127302,0.020063398,0.0033520898,0.022211544,-0.015753066,-0.007195586,0.019080587,0.0039874073,-0.015388023,0.0009810566,-0.00929459,-0.019206949,0.0015698662,-0.01686224,-0.017845051,-0.0038961463,-0.029287789,-0.02099005,0.015303782,0.00927353,0.044001885,0.013527701,0.044114206,0.023250517,-0.0038048853,-0.01690436,0.012292166,0.010368663,-0.01686224,-0.0038154155,0.021607816,-0.0076448712,0.024738774,-0.044760052,-0.0009889542,0.011856921,0.02695712,0.008550461,-0.004910548,0.044956613,0.021523576,-0.0050088293,0.01092325,-0.007069224,0.016174272,0.017873133,-0.008964647,0.00843814,0.013239877,0.012952054,0.008845305,-0.016398914,-0.031590376,0.007121875,-0.00755361,-0.00032950516,-0.026367433,-0.004615705,-0.018083734,-0.001267125,0.017325565,-0.00052957755,-0.017816972,0.042373225,0.0011161932,-0.043973804,-0.0025605755,-0.031506132,0.010635426,0.0012688801,-0.005479175,-0.007932694,0.015542465,0.030916449,0.015921548,-0.005556396,0.005479175,0.01850494,-0.01840666,-0.042569786,0.011295314,-0.00027290575,-0.0009582414,-0.0014821151,0.004289271,-0.00253425,-0.027378326,0.011548038,0.007083264,0.0074974494,-0.02593219,-0.007750172,0.00840304,0.025005538,0.016272552,-0.010431844,-0.0035819977,0.0252723,0.011976263,0.0044121225,-0.0031818529,-0.01763445,-0.00019864642,0.007223666,0.011653339,0.003288909,-0.015556505,0.019277148,-0.002016519,0.0047561065,-0.013548762,0.0056932876,-0.014138448,6.2412924e-05,0.0037381945,0.0033047043,0.0066971597,0.04388956,-0.0075465897,0.0006783156,0.0010161571,0.015051059,0.0033152346,0.017072843,-0.015823267,-0.00294668,0.001555826,-0.0011995567,-0.010663507,0.019614113,-0.021621857,-0.022365985,-0.013408359,0.0066971597,0.007981835,0.0036574635,-0.009519233,0.003027411,0.022534467,-0.019586032,0.00018943257,-0.011161933,0.02945627,0.017578289,-0.013822544,-0.013948906,-0.63214445,-0.021327013,-0.02107429,-0.017325565,0.013218817,0.01693244,0.0038891262,0.0037311744,-0.037571486,0.025384622,0.017901212,0.0455463,-0.005798589,-0.026929041,0.0033345397,-0.022281745,-0.029624753,-0.0033275196,0.01014402,0.02445797,-0.014370111,-0.006377746,0.0009415687,0.015528425,-0.0070130634,0.016286593,0.008389,-0.0020849647,0.024275448,0.026746519,-0.0044998736,0.022014981,-0.020259961,0.0056055365,0.029680913,-0.0169184,0.0059776013,0.033331357,0.019740473,0.02695712,-0.02440181,-6.065791e-05,0.014854497,0.0056932876,-0.0081222365,0.019838756,-0.011281274,-0.011056632,0.0015733762,-0.0454059,-0.0075816903,-0.013380279,0.0059074,-0.0008103809,0.012867813,-0.01423673,-0.013611942,-0.019684313,0.0061776736,-0.013260938,-0.013822544,-0.0045033833,-0.01687628,0.010354623,-0.014952778,0.017606368,-0.01769061,0.0018813824,-0.0040891985,-0.026423594,-0.0151353,0.011548038,-0.02358748,-0.007883553,0.017859092,0.0067638503,0.008227537,-0.011969242,-0.00418046,0.016244473,0.016370835,0.008171377,-0.0060056816,0.01940351,0.003194138,-0.0150089385,-0.04700648,-0.0002928691,-0.0022429165,0.0050193598,0.012025403,0.0068270313,0.0061004525,-0.0354093,-0.0033871904,0.01860322,-0.0036504434,0.0045033833,0.022295784,-0.03271359,-0.0252723,0.0052685724,-0.024556251,0.0045700744,0.045770943,0.012692311,-0.021298934,0.005219432,0.050741162,-0.023166275,-0.010249321,-0.000697182,-0.028599821,-0.014517533,0.017114963,-0.03378064,0.01934735,-0.00021104126,0.016651638,-0.014391172,0.037655726,0.0060267416,0.03608323,-0.020414403,0.01778889,0.02942819,0.005819649,0.0168482,-0.016609518,0.0027062423,-0.013162657,0.007195586,0.025918148,-0.028220735,0.025384622,0.002862439,0.0033959653,-0.014573693,-0.021734178,-0.022141343,-0.006082902,0.005289633,-0.0010135245,-0.013717243,-0.009140149,-0.023755962,-0.022969713,-0.008627682,-0.0027553828,-0.0045314636,-0.018841904,-0.008543441,-0.0074483086,0.0026500814,0.017999494,0.00076562783,0.014061227,-0.0045139138,0.009168229,-0.010031699,0.005468645,0.029821316,-0.019571992,-0.0069393525,-0.008108196,0.009470092,-0.016286593,0.035858586,0.018631302,-0.0058407094,0.012790592,-0.022843352,-0.02271699,0.009456052,-0.008389,0.01596367,-0.011042591,-0.022590628,0.0002867265,-0.016778,0.02430353,0.026549956,-0.014187589,-0.043187555,0.018420698,0.009498172,-0.0077080517,0.008094156,0.010761788,0.02277315,-0.01676396,0.038357735,-0.0060407817,0.0075185094,0.014938738,-0.0069920034,0.016511235,0.022464268,0.020877728,0.01853302,0.030411001,0.00843112,0.018898064,0.00932267,0.032404706,-0.03518466,0.0008020445,-0.015219541,-0.023376878,0.012341307,0.015584585,-0.03206774,-0.0027448526,-0.01088113,-0.0046437853,0.016244473,-0.010649467,-0.011941162,-0.018336458,-0.0028396237,0.0041523795,-0.020414403,0.025890067,0.0029150897,-0.004819287,-0.028641941,0.00087356166,0.011456776,0.009041867,-0.028290937,-0.0076027503,0.028206695,-0.019235028,0.02603047,0.034510728,0.009498172,-0.0019638683,-0.0068480917,0.0120605035,0.002690447,-0.0034714313,0.010431844,0.0070235934,-0.014461372,-0.00756063,0.007244726,0.024654534,0.0019972136,-0.024149086,0.010649467,0.008971666,0.012264086,0.00923141,0.020919848,0.017199203,0.009891298,0.0044121225,0.010417804,0.03366832,0.018869985,0.023250517,0.0075957305,-0.0008840918,0.010523105,-0.0073570474,-0.0031344672,-0.02598835,-0.01930523,-0.00850834,-0.00094244623,-0.018083734,-0.020639045,-0.009308631,-0.03021444,-0.0023920934,-0.027027322,0.006886702,-0.0035626923,0.0062724445,0.012923974,-0.014629854,-0.024092926,0.018884024,0.010368663,-0.0058266693,-0.03218006,-0.02694308,0.010305482,-0.028838504,0.009919378,0.0027132623,0.00057433057,0.024963416,0.0013469785,-0.021186613,-0.011112792,0.005542356,-0.0064303963,-0.0059916414,0.011063651,-0.019501792,0.00013294282,-0.0036679937,-0.021298934,0.015668826,-0.0067673605,-0.008697883,-0.009870237,-0.026816718,0.007490429,0.003108142,-0.022506388,-0.018224137,0.02948435,-0.009933418,-0.011983283,-0.027939932,0.005465135,0.027532768,-0.005401954,-0.006082902,-0.03771189,-0.04139041,0.0073500276,0.05778933,0.02521614,0.014671975,-0.01256595,-0.0053106933,0.0074974494,-0.00027553827,-0.012530849,0.023910405,0.0075465897,0.0053563234,0.0022253664,0.016623557,-0.0023236475,0.011161933,0.0146438945,-0.009933418,-0.007476389,-0.03706604,0.013106496,-0.01940351,0.008108196,0.0033099693,0.01945967,0.023798084,0.0044928533,0.039845992,0.019726435,-0.005528316,-0.0049035284,-0.023826163,0.020077439,-0.012320247,0.020091478,-0.0006225936,0.015851349,0.013604922,-0.017171124,0.02438777,0.0024833544,0.009750896,-0.0042647007,0.011197033,-0.01517742,0.01945967,0.015093179,-0.017564248,0.008206477,-0.017381726,-0.012123684,0.034061443,-0.007490429,-0.024191208,0.0031432423,-0.016300634,-0.009561353,-0.009814076,-0.026339354,0.019754514,0.0032853992,-0.023980604,-0.003350335,0.027476607,-0.026690358,0.006142573,0.0044437125,-0.020105518,-0.01693244,-0.023461118,0.013724264,-0.022099223,-0.03448265,-0.0139769865,0.0107477475,-0.00932267,0.011653339,0.02438777,-0.02110237,0.013850625,-0.03782421,-0.006560268,-0.012874833,-0.0074483086,-0.0066585494,-0.0044823233,-0.0065181474,-0.005661697,-0.012158785,-0.019628152,0.020077439,0.023236476,-0.019740473,0.0069147823,-0.02597431,-0.029147387,-0.0038259455,0.025651386,0.0035539174,0.0017365932,0.014110368,0.004029528,-0.03128149,-0.01424375,-0.023404958,0.008374959,0.0032853992,-0.016230432,0.009378831,-0.033359434,-0.02437373,0.0072517465,-0.024893217,-0.005145721,-0.0067533203,0.008473241,-0.012285146,-0.002197286,0.003036186,-0.0067112,-0.004054098,0.0024815996,0.017606368,0.0066445093,0.0023324226,-0.029765155,0.018083734,-0.0012083319,-0.032601267,-0.020344201,0.0044823233,-0.0035802426,0.019010385,0.011309355,-0.008367939,-0.028726183,-0.0016856976,-0.0066199386,-0.0010925004,-0.009666655,-0.024808975,0.00071341597,0.009561353,-0.0018989326,-0.025356542,-0.0049316087,-0.019810675,-0.004440203,0.005956541,0.017760811,0.004475303,-0.008241578,-0.008768084,0.01774677,-0.016792038,-0.027280044,-0.027350245,-0.017957373,0.035605863,0.025426742,0.018841904,0.039705593,0.023910405,0.021986902,0.004387552,0.007135915,0.0050088293,0.01090921,0.008339859,-0.023615561,0.01594963,0.0011109281,0.016637597,-0.004871938,-0.017943332,0.020021278,0.00924545,-0.00023034649,-0.025553104,0.004278741,-0.03293823,-0.022267705,0.00089506066,-0.018841904,-0.02948435,-0.04619215,-0.00025403927,0.055964105,0.012509788,0.0076589114,-0.0023973584,-0.014391172,0.0010714402,0.029708995,0.0062619145,0.0008064321,-0.009652615,-0.0010784602,-0.007904613,0.026114712,0.020639045,0.00031327122,0.017873133,0.0062689343,0.011456776,0.015345903,0.022478307,0.005963561,0.03262935,-0.002437724,-0.008810204,-0.012130705,-0.017985454,-0.027602969,-0.033471756,0.008276678,0.01590751,-0.03453881,0.017859092,0.00066690793,-0.006802461,0.0031625477,0.002867704,0.03639211,-0.009849177,0.03181502,0.007946734,-0.0027536277,-0.00843814,0.03192734,-0.0034819616,0.012643171,0.027490648,0.039003585,-0.018617261,-0.010712647,-0.010354623,0.030074038,0.020849647,-0.026549956,0.005303673,0.0003321377,-0.0053598336,-0.008557482,0.008185417,-0.040154878,-0.00013787883,-0.013808505,-0.02598835,0.024289489,-0.0020568843,-0.0077922926,-0.004155889,-0.03692564,0.0013425909,-0.014700055,0.0004883345,0.013780424,-0.02103217,-0.021242773,0.03476345,-0.013527701,0.012250045,0.00058749324,0.0038224356,0.031225331,-0.005465135,0.020639045,-0.010193161,0.002874724,0.034286086,-0.013155636,-0.0041593993,-0.003906676,0.0011627013,0.021565696,0.0028343587,-0.018884024,-0.022014981,-0.0035539174,-0.017002642,0.022113264,-0.034398407,-0.015696906,-0.010249321,-0.015247622,0.006139063,-0.016637597,0.0090910075,0.01258701,-0.03189926,0.0051106205,0.013345179,0.01689032,0.02024592,0.020540765,-0.012116664,0.015781147,0.019052505,-0.008501321,0.029680913,0.039200146,-0.010502045,-0.0404076,-0.0022920573,-0.009884277,0.007722092,0.0070235934,-0.03375256,-0.033134792,-0.013597902,0.009357771,0.027041363,0.02426141,-0.00147685,-0.019010385,0.02603047,0.010333563,-0.029287789,-0.0150089385,0.024486052,-0.019473711,0.018224137,-0.00094244623,-0.005809119,0.033275194,-0.03861046,0.011007491,0.027181763,-0.02614279,-0.014075267,-0.007995875,0.007244726,-0.040772643,-0.004861408,-0.025328461,-0.007223666,-0.021776298,0.026339354,-0.0047069658,0.0018620772,0.020400362,0.011484857,-0.02598835,-0.011063651,-0.012390448,-0.01769061,-0.015065099,8.7257446e-05,-0.010740727,0.0052510225,0.0038540259,0.044956613,0.04852282,-0.035072338,-0.015373983,-0.03274167,-0.025623305,-0.012664231,0.00036679936,0.020681165,-0.0006401439,0.011512937,0.0041734395,0.017367685,0.016455075,0.0169184,-0.007469369,-0.0219167,0.0010100144,-0.005728388,-0.00020314366,-0.002274507,-0.026788639,0.00841708,0.024121007,0.0043559615,0.014068248,0.028417299,-0.018617261,0.009778976,-0.015163381,0.016384874,0.0005778406,-0.0136540625,-0.0063601956,-0.044001885,0.010207201,0.00041506244,0.0053212233,0.0007590465,-0.025819868,-0.025370581,-0.021832459,-0.02017572,-0.023376878,-0.0100808395,-0.012839733,-0.016792038,0.025553104,0.010621387,0.004082178,0.041643135,0.03206774,0.004900018,-0.0013838339,0.0286279,-0.02434565,-0.023152236,-0.011190013,-0.011906061,0.02186054,-0.02441585,0.01840666,-0.03108493,0.015247622,-0.02434565,-0.037459165,-0.01774677,0.027153684,0.0016488421,0.0046437853,0.0024851095,0.02847346,-0.014208649,-0.0019779084,0.015247622,0.018027574,-0.040548,0.009399892,-0.0149668185,-0.0075044692,-0.010228261,0.022365985,0.002774688,-0.0033398047,0.045293577,0.1890368,0.00083144114,0.024092926,0.014826417,-0.015837308,0.018855944,0.01421567,0.01261509,0.009161209,0.016328713,-0.02180438,0.018673422,-0.0013504885,0.010684567,0.008515361,-0.01687628,-0.023180315,-0.015626704,-0.015654786,-0.019094627,0.00070727343,0.0006783156,-0.025679465,-0.030411001,0.016314674,0.0033222546,-0.011323394,0.011807781,0.021678017,0.00021904854,0.006381256,-0.027504688,7.288821e-05,0.0027220373,-0.022604669,-0.0064233765,-0.0075114896,0.0033011942,0.02110237,0.011569098,-0.012727411,0.007107835,0.0051773116,0.006395296,0.017915253,-0.0056652073,0.01594963,-0.014391172,0.0020323142,-0.00015839063,-0.023236476,-0.014798336,0.015051059,0.013569822,-0.0076869917,-0.006805971,0.024135048,0.012355347,0.0003929053,0.0057424284,0.010579266,0.032545105,-0.012572969,-0.024022726,0.0030958569,0.028754262,-0.030860288,-0.01014402,0.00841006,-0.033162873,0.018617261,-0.013640022,-0.016328713,0.002274507,-0.01764849,-0.016553355,0.035858586,0.007132405,0.01594963,0.025525024,-0.0009091008,-0.017760811,-0.0040856884,0.0070060436,-0.02024592,-0.0355497,0.013071395,0.002041089,-0.025791787,0.0072517465,0.005573946,-0.0075044692,-0.0061601233,0.0013250407,0.0012960829,0.01088113,0.01257999,0.011653339,-0.006082902,0.0067638503,-0.018336458,0.030719886,0.020259961,0.002867704,0.004615705,-0.017929293,-0.010831988,0.019951077,0.008943586,-0.017381726,0.003194138,-0.050853483,0.014447332,0.0039979373,0.0059038904,0.021649938,-0.0048438576,-0.029596671,0.006289995,0.008943586,-0.0133521985,-0.03462305,-0.006630469,0.011239153,-0.019698353,-0.023657681,-0.018827863,-0.003787335,-0.004415632,-0.02023188,0.0076799714,-0.015724987,0.01433501,-0.0016883301,0.004945649,0.0015663562,-0.009456052,0.0100808395,0.0029519452,0.019529872,-0.014229709,-0.0023991135,0.013176696,-0.019108666,0.014784296,-0.007072734,-0.0044366927,0.012748471,-0.0059425007,-0.009821096,-0.03484769,0.009582413,0.034707293,-0.015668826,0.037459165,-0.017802931,-0.0030010857,-0.008831264,-0.001849792,0.01767657,0.009308631,0.01676396,0.015345903,0.0097579155,-0.012720391,0.0046543153,-0.18128663,0.005240492,0.025876028,-0.025047658,-0.0024833544,-0.00928055,0.041952018,0.0035644474,-0.0055458657,-0.011133852,-0.005215922,0.019136747,-0.036420193,0.017269405,0.013211797,0.026690358,0.014924698,0.030776046,0.021312973,0.010228261,0.018827863,-0.0034328208,0.021607816,0.028838504,0.0037206444,-0.00015202868,-0.013211797,0.040884964,-0.004956179,-0.0218465,-0.030747967,-0.011597178,0.020498643,-0.0065321876,-0.017227285,-0.0038926364,-0.004057608,-0.014145468,-0.011232134,0.008030975,0.0069253123,0.01940351,0.011042591,-0.0070762443,0.0037522346,0.032376625,-0.005587986,-0.006461987,0.023854245,-0.008908486,0.013689163,-0.050741162,0.023124155,-0.0054230145,0.020161679,-0.00419099,0.005229962,0.021972861,0.0050018094,0.0008169622,-0.017845051,0.002867704,0.005194862,-0.023067994,-0.041418493,-0.007399168,-0.02934395,0.008115216,-0.012966095,0.018575141,-0.010544165,-0.0124044875,-0.014475413,-0.018813822,0.018027574,0.010193161,-0.023699801,0.009133128,0.03863854,0.008838285,0.0028852543,0.037515324,-0.015739027,0.0041137687,-0.006900742,-0.0097157955,-0.0010021168,0.008641723,-0.016637597,-0.010544165,-0.012376407,-0.024570292,0.012664231,-0.010670527,0.02350324,0.018757662,-0.021551656,-0.01606195,0.038975503,-0.020723287,0.014840457,-0.003604813,-0.009329691,0.017985454,0.033247113,-0.0012969604,-0.026929041,0.025693506,0.043131392,0.015037019,-0.0031520175,-0.002874724,-0.008178397,-0.019150788,-0.002195531,0.03891934,0.0023183825,-0.00018778723,0.00015224806,0.0070306137,0.039761752,0.014173549,-0.0072377063,0.011892022,-0.0013346934,-0.007399168,-0.09339519,-0.002106025,0.004471793,0.01610407,0.01940351,0.011351475,-0.0073359874,0.010277402,-0.009329691,0.03206774,-0.012320247,-0.021467416,-0.003531102,-0.0011372535,0.03608323,0.0069147823,-0.022534467,-0.006289995,0.018715542,0.02934395,-0.02843134,-0.010375683,0.013962946,-0.010298463,0.008059056,0.006648019,-0.039817914,0.018743623,0.019670274,0.017873133,0.016202353,-0.04136233,0.031534214,-0.005303673,-0.003208178,-0.024921296,-0.01770465,-0.009652615,0.0008323187,-0.042654026,-0.006033762,0.013794464,0.013541741,-0.024780896,0.019473711,-0.016075991,0.0025324952,0.00422258,0.012151765,-0.017129004,-0.02858578,-0.01769061,-0.011976263,-0.0018550571,-0.00422258,-0.0063637057,-0.00923141,-0.0070867743,-0.0268448,0.0048438576,0.005454605,0.011899042,-0.054840893,0.02867002,0.021369133,0.021481454,-0.04863514,-0.0075957305,0.008185417,-0.014938738,-0.041109607,0.040070634,-0.018687462,0.00923141,-0.032966312,-0.0100668,-0.00039356344,0.0058266693,0.03105685,0.0017093903,-0.018898064,-0.025370581,0.009399892,0.0026307763,0.015977709,0.0169184,-0.007223666,0.004577094,0.016398914,-0.02604451,0.0168482,0.026395515,-0.008768084,-0.020779448,-0.0054265247,0.018771702,-0.009013787,0.022057103,-0.013843604,0.0025061697,-0.050825406,-0.025693506,-0.07413208,0.02618491,0.014005067,-0.0019866836,-0.019796636,-0.013548762,0.02099005,-0.0136751225,-0.019515831,-0.008374959,0.013794464,0.010277402,-0.029680913,0.0051632714,-0.019908957,-0.016174272,0.0184909,0.008522381,0.05051652,0.003794355,0.0028027683,-0.0025535554,0.017058803,0.0022955672,-0.028754262,-0.013296038,0.0041980096,0.011456776,-0.0023447077,-0.0050298898,0.028950825,-0.01850494,0.0022394066,0.015837308,0.02350324,-0.042625945,-0.015724987,-0.00588634,0.029624753,0.0021183102,-0.016511235,-0.03220814,-0.0020990048,-0.030944528,-0.013232857,0.0039979373,-0.008964647,-0.00423311,0.015261662,0.01347154,0.032320462,-0.0048298175,-0.0046718656,0.00068401935,0.011962222,-0.016426995,-0.014700055,0.015219541,0.02945627,-0.005774019,0.006834051,0.026971161,0.0077571925,-0.017072843,-0.003534612,-0.026212992,-0.00590038,0.009498172,0.008985707,-0.045995586,-0.016230432,-0.00504393,0.013611942,0.00424364,0.009828117,-0.030102119,-0.0051702913,-0.0009433237,0.0015101954,0.0045139138,-0.005279103,0.007156975,-0.039115906,0.039845992,0.014517533,0.008129257,-0.015093179,0.03116917,-0.013857645,0.004278741,-0.025665425,0.006911272,0.012228985,0.006244364,-0.028894665,0.0058723,0.0006857744,-0.01514934,0.007065714,0.031730775,-0.008620663,-0.0032906642,-0.025861988,-0.0117446,-0.012481708,0.0100597795,0.018729582,-0.026311273,0.03386488,0.022225585,0.0073570474,-0.00067129545,-0.03467921,0.0133100785,0.0021586756,0.004871938,0.0013250407,-0.002930885,-0.008276678,0.022211544,0.023067994,0.0026237562,-0.005721368,-0.003029166,0.03706604,-0.007230686,0.013057356,-0.0037276645,0.010235282,-0.0065181474,-0.014728135,0.009105048,-0.013724264,-0.016258514,0.0070165736,0.0044261627,-0.0056932876,0.01259403,0.0008511851,0.11243366,-0.010642447,-0.01347856,-0.0063356254,-0.0041945,0.023784043,0.009750896,0.012467668,-0.00836092,-0.036027066,0.017929293,-0.0060091913,-0.01764849,-0.023390919,0.0056897774,-0.014826417,-0.023404958,0.010459924,-0.020793486,-0.002769423,0.002857174,-0.015570546,0.032320462,0.01088113,-0.024064846,0.0050334,0.03271359,0.008059056,-0.005233472,-0.026016429,-0.002688692,0.015205501,0.015261662,-0.021748219,0.0020726796,-0.01092325,-0.005549376,0.007848453,0.008761064,0.014419252,-0.0046823956,0.007469369,-0.0028729693,0.0027501178,-0.0061601233,-0.011000471,0.016665678,-0.040884964,-0.0146438945]', 'plot population pyramids by age for Chad using HDX data as an image', '{"mem_type": "memory", "custom_id": "70d84687-302e-47ac-9019-28921bc20380"}', '70d84687-302e-47ac-9019-28921bc20380', 'cca72b3c-3749-4aeb-abd0-f4be04aee0ae'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.013806936,-0.010206665,0.00086647016,0.0075966446,-0.0012307414,0.00743396,-0.016876718,0.0062951706,-0.0041838135,-0.02607191,0.00030879054,0.036016867,0.014514259,-0.00059282477,-0.0038796642,0.011324234,0.019069418,-0.010178372,0.017202087,-0.01243473,-0.026496302,0.018729903,0.040487148,-0.012625707,-0.0029000225,0.005237724,0.015207435,-0.030584628,0.01160009,0.013835229,0.00903251,-0.011246429,-0.021714803,-0.027345091,-0.008049332,0.0010079347,-0.004006983,0.012349851,0.02706216,0.007405667,-0.0012059851,-0.012901563,0.005718703,-0.00019407163,0.004505645,0.009159828,0.03222562,0.002001723,-0.00901129,0.01333303,0.013290591,0.020031376,-0.008671775,-0.015745,0.03516808,0.030754386,0.017117208,-0.009082022,0.0069494443,-0.036073454,0.00507504,-0.017683065,-0.036356382,-0.006365903,-0.02379433,-0.0338949,-0.003006121,0.010970573,0.004194423,0.02129041,0.02718948,0.040487148,0.012484243,0.005174065,0.009301293,0.012293266,-0.02703387,-0.0077522555,0.025760688,0.0034570391,0.03089585,-0.01734355,0.004551621,0.014853774,0.026694354,-0.0149386525,-0.017046476,0.06377221,-0.010454228,-0.005534799,0.036214918,0.0067761503,0.008615189,0.0021697122,-0.0048769894,-0.0006785876,-0.016494764,0.038591523,0.0019380639,-0.025308002,0.0034641123,-0.013000589,-0.017683065,-0.011783994,-0.025251415,-0.00504321,0.009329585,-0.006044071,0.0026170937,-0.025732394,-0.023836771,0.028604124,-0.005736386,-0.03839347,0.0001690943,-0.021276264,0.019946497,-0.0039256406,-0.023087008,-0.029085103,0.015674269,0.010383496,0.011522285,-0.01423133,0.0035330763,0.01247717,-0.00012853378,-0.008127137,0.014195964,-0.015745,-0.0042934483,0.011791067,0.018149897,0.008289821,-0.022973837,0.044023756,-0.031886104,0.021417728,-0.010362276,-0.028490953,0.013580593,0.01850356,0.017654773,-0.0017046473,-0.0069742007,0.028589979,0.010305691,0.027175333,9.6538475e-05,-0.024558239,0.0075471317,-0.02423287,0.010510814,-0.0048380867,-0.009414464,-0.0017665381,-0.013552301,0.012710586,-0.01738599,0.006836273,-0.020342598,-0.015023531,0.008410065,0.012363998,0.019875765,0.03692224,-0.0065781,-0.021615777,-0.00016191056,-0.00016599978,0.0018761731,0.032112446,-0.012929857,-0.0015976648,0.013170346,0.016325006,-0.016424032,0.017088914,-0.022266515,-0.010093493,-0.020314306,0.031037314,0.040402267,0.024685558,0.004951258,-0.005863704,0.019324053,-0.011034232,-0.011974971,-0.03341392,0.024176285,0.003900884,0.0034234412,0.010114714,-0.63466644,-0.023242619,0.005124552,-0.017697211,0.017004035,0.02786851,0.018545998,0.0028416684,-0.02885876,0.014316209,0.010807889,0.036101747,-0.016650375,-0.04532523,0.00034879844,-0.025336294,-0.025987031,-0.00039919518,-0.024445068,0.04328814,-0.0053332127,0.025293855,0.0004907051,0.009527636,0.014280843,0.022535296,0.023355791,0.008445432,0.024685558,0.017555747,-0.0043075946,0.0025003855,0.0038973473,-0.004555158,0.038308594,-0.02320018,-0.014351575,0.014896213,0.04113788,0.05412432,-0.02499678,0.007112128,0.03893104,0.022903105,-0.018390387,0.020710407,-0.010093493,0.013637179,0.008070551,-0.036554433,0.006903468,0.012576195,-0.030443164,0.007624937,0.015773294,-0.01631086,0.016353298,-0.015504511,0.009336659,0.0052872365,0.0008372931,-0.02056894,-0.02973584,-0.0068610287,-0.0043924735,0.019960644,-0.012859124,0.02267676,0.008013966,-0.023058716,0.011020086,0.020257719,-0.01133838,0.0056019947,0.02137529,0.012484243,0.019776741,-0.015787441,0.004707232,0.021573339,-0.0038867376,-0.014641577,-0.021771388,0.014167671,-0.0006785876,0.0019522103,-0.024940193,0.0015799818,0.0041519837,0.0032360007,0.003531308,0.0133754695,-0.0035525276,-0.03935543,-0.017810384,0.036384676,-0.023865063,0.008990071,0.014061573,-0.028759735,-0.017852822,0.009407391,0.006924688,0.0090537295,0.031631466,0.033357333,-0.007681523,0.010503741,0.02328506,-0.023186034,-0.018121606,-0.004296985,-0.031207072,-0.018347949,0.02344067,-0.03593199,0.021941146,0.014783042,-0.006921151,0.009739832,0.034319293,0.001806325,0.029707547,-0.011147403,0.017258672,0.012321559,0.018206485,0.00099202,0.0013545227,-0.017739652,0.010114714,0.0092800725,0.015688416,-0.033611972,0.0065993196,-0.007624937,0.0050290637,-0.014754749,-0.018234776,-0.024091406,-0.016749399,0.0045657675,0.007250056,-0.005513579,-0.010553254,-0.020158695,0.0009875993,0.008926411,0.017272819,-0.0035755155,-0.020526502,-0.008141283,-0.023101155,-0.004371254,0.010892767,0.0018602584,0.019776741,-0.01491036,0.011883019,-0.008629336,-0.005266017,0.011260575,-0.0010901609,0.0054569934,0.009478123,-0.0065002944,-0.009506416,0.033017818,-0.00069140777,-0.0076037175,-0.00031475857,-0.032480255,-0.008947631,0.040175926,-0.0011140332,0.03321587,-0.024968486,-0.00016522614,0.008176649,-0.03680907,0.029169982,0.0022987984,-0.014584991,-0.010822035,0.0077876216,0.0062138285,-0.02021528,0.008997143,0.010574473,0.023822624,-0.023850916,0.016155249,-0.02133285,0.02247871,0.005156382,0.014478893,-0.024798729,0.007646157,-0.009853004,-0.00042549873,0.029594377,0.010843255,-0.0131844925,0.013637179,0.03723346,-0.028321195,-0.0025463614,-0.028689003,-0.011168623,0.027755337,0.021927,-0.036780775,-0.0065710265,-0.0046930853,0.008388846,0.00769567,-0.0027019721,-0.013927181,-0.021870414,-0.021615777,-0.0028239852,-0.01425255,0.029594377,-0.0063517564,-0.0042757653,-0.012413511,-0.0044914987,0.0033544772,-0.0077027427,-0.022535296,-0.0039150305,0.016367445,-0.004265155,0.005357968,0.033753436,-0.007575425,0.00092128763,0.004816867,0.023709452,0.013255225,-0.009301293,0.0059308996,0.009414464,-0.010489594,-0.031009022,-0.0038584445,0.023822624,0.011861799,-0.028420221,0.022422126,0.015787441,0.016339153,-0.009520562,-0.0030786213,0.011868873,-0.01074423,0.008919338,0.0055560186,0.038648106,0.02117724,0.035903696,-0.013524007,0.012887417,0.0049300385,-0.019210882,-0.012859124,-0.0338949,0.0036055767,-0.016240127,0.011493991,-0.006235048,-0.0060582175,0.0055878484,-0.017654773,0.00121129,-0.012420584,0.038648106,-0.0036197233,0.0039114943,0.0030255723,-0.029396325,-0.022308953,0.030245112,0.013651325,-0.0051988214,-0.04651353,-0.01694745,-0.008954705,-0.0048946724,0.006648832,0.023497256,0.005853094,0.023836771,-0.0111191105,-0.006217365,0.007822989,0.030103648,-0.0038938108,0.00069184985,0.015844027,0.0006250964,0.003975153,0.0006242122,-0.025661662,0.028391927,-0.0004531285,-0.0037700294,-0.012448877,-0.00033907275,0.004937112,0.009853004,-0.002348311,-0.03304611,0.0036497845,-0.021276264,0.0070095668,-0.0113596,0.009520562,0.008990071,0.01353108,0.0061749257,-0.038846157,-0.02798168,0.019012831,0.042156428,0.04119447,0.022337247,-0.022252368,0.0049618683,0.0021325776,-0.018277217,-0.013382543,0.009350805,0.017725505,0.012066923,0.014995239,0.016098663,-0.006192609,0.013842302,-0.015193289,-0.024558239,-0.021545045,0.00507504,0.00417674,-0.01841868,0.0010892769,0.012795465,0.0032589887,0.02499678,-0.0024155066,0.03225391,0.042439356,0.006411879,-0.008077624,-0.018843075,0.018800635,-0.0114656985,0.023228472,-0.018843075,0.008296894,0.015858173,-0.010977646,0.024105553,0.011812286,0.015617683,0.003006121,-0.00057867833,0.0014075718,0.0140545,0.010355203,-0.01870161,0.021997731,-0.01510841,-0.010715936,0.009591294,-0.008141283,-0.013446202,-0.00021076002,-0.010730083,-0.013870596,-0.008120064,-0.019295761,-0.017371843,-0.0007798231,-0.031886104,-0.017895263,0.038025662,-0.020399185,-0.018956246,0.014068645,-0.022040172,-0.012873271,-0.021530898,0.0027956923,-0.008975924,-0.028151438,-0.010666425,0.006528587,-0.0060546813,0.019861618,0.0073773745,-0.0060405345,0.0063446835,-0.0037205168,-0.022577737,-0.0025799593,-0.0001968346,-0.013524007,-0.011366674,-0.007766402,-0.004710769,-0.022945544,0.002266969,0.022252368,-0.0049583316,-0.025407026,0.008197869,-0.02140358,-0.030188527,-0.015801588,-0.005527726,0.021191385,-0.0013359556,-0.008049332,-0.004714305,-0.018758196,-0.026680207,-0.02475629,0.023256766,-0.0155469505,-0.013170346,0.0031935615,0.006411879,0.0035684423,0.026326546,-0.008105917,-0.017598186,-0.0062774876,0.022450417,0.010602766,0.029311446,0.012689367,-0.026411425,0.00505382,-0.010574473,0.03412124,-0.006185536,-0.010843255,-0.01718794,0.0061572427,-6.691935e-05,-0.014457673,-0.02786851,-0.016183542,-0.010022761,0.013538154,0.0009557696,-0.025506051,-0.014443527,0.014273769,-0.024077259,0.004296985,-0.007589571,-0.03437588,-0.031574883,0.0047885743,-0.0014491271,-0.016678667,0.010433009,-0.024841169,-0.012356925,-0.008296894,0.012363998,0.02607191,0.011479845,-0.015603536,-0.013234005,-0.00879202,-0.016650375,-0.033017818,-0.011253502,0.028971933,0.020795286,0.023766037,0.036186624,0.025675809,0.028448513,-0.0039468603,0.0113100875,0.0029689865,-0.003485332,0.0057965084,-0.016141102,0.016834278,0.0054357736,0.0006936182,-0.0044278395,-0.0039291773,-0.010249104,0.016296713,-0.005754069,-0.021304557,0.016296713,-0.027882656,-0.0003722285,0.016155249,-0.016169395,0.00767445,-0.043655947,-0.01177692,0.03233879,-0.0009911358,0.021262119,0.028731443,0.015844027,0.013071321,0.01447182,0.007076762,-0.008990071,0.0126469275,-0.014811334,-0.012102289,-0.005280163,0.033357333,-0.004572841,0.01622598,-0.00091333024,0.0021661755,0.006100657,0.0023465427,-0.012088142,0.023949942,0.0096266605,-0.0053862613,-0.021743095,-0.03417783,-0.024614826,-0.0077239624,0.025293855,0.010404715,-0.023822624,0.010574473,-0.017994286,-0.025506051,0.0023730674,0.0026807524,0.036101747,-0.0040635685,0.035875402,0.015363046,0.00051767175,-0.020993335,0.006613466,-0.014167671,0.00014444854,0.012965223,0.049173065,-0.024600679,-0.040770076,-0.01758404,0.009980322,0.0065887095,-0.034998324,-0.0016816594,0.004915892,0.0032342323,-0.024558239,-0.0073207887,-0.039892994,0.012448877,-0.005754069,-0.00881324,0.020158695,-0.01184058,0.0015048287,0.019833326,-0.045947675,0.036695898,-0.0094710495,-0.011529358,-0.00081828376,-0.009202267,-0.029000225,0.01885722,0.019776741,0.0075966446,0.0068787117,0.041533984,0.026496302,-0.008176649,0.019479664,-0.008466652,0.0058990703,0.033130992,-0.020724552,0.0034287462,0.017881116,-0.01802258,0.0019115392,-0.0031723417,-0.013920108,-0.01335425,-0.016056223,-0.034913443,0.011932531,-0.012795465,0.0025392883,0.003513625,-0.0048486963,-0.010270325,-0.018942099,-0.007044933,0.012710586,-0.024445068,-0.012031557,0.011706188,-0.0014986397,0.013212785,0.01841868,-0.009393244,-0.00085718656,0.027274357,-0.03358368,0.020512355,0.013714985,0.003865518,-0.019026978,0.0036603943,-0.027104601,0.0018903195,0.0010052823,-0.024926048,-0.03143342,-0.03878957,-0.005683337,0.018913807,0.0306978,0.009527636,0.008912265,0.018248923,-0.0043606437,-0.012979369,-0.004420766,0.012965223,-0.03197098,-0.0060971202,-0.0055772383,-0.018079165,0.026878258,-0.023850916,-0.00091156195,-0.0039999094,-0.0022475177,-0.013898889,-0.011041305,0.030245112,-0.009775198,0.017159646,-0.0153206065,-0.020484064,-0.010822035,0.023186034,-0.004770891,-0.012250827,0.028420221,0.0012210157,-0.022973837,0.004056495,-0.020399185,-0.035479303,-0.0068185893,0.019451372,0.010998866,-0.010666425,-0.0031228291,0.0048204036,0.03935543,-0.04631548,-0.01874405,-0.009506416,-0.04727744,-0.019691862,-0.024190431,-0.0017665381,0.017810384,0.013509861,-0.019309908,0.029085103,-0.011925458,0.019691862,0.0022828837,0.006525051,0.0012890955,-0.019649422,0.029594377,-0.0050644297,-0.006457855,-0.017810384,0.0070095668,0.020399185,0.024671411,0.023115302,-0.0075471317,0.0069742007,-0.030754386,0.0054534567,-0.013580593,0.008586897,-0.019408932,-0.015264021,-0.006988347,0.001506597,0.0012130582,-0.015334753,-0.014408161,-0.0060688276,-0.011027158,-0.023299204,-0.024614826,-0.00879202,0.008183722,-0.01571671,-0.005375651,0.0055949213,0.006231512,0.0394686,0.025873858,-0.006231512,-0.022351393,-0.005545409,-0.02866071,-0.01922503,-0.013226932,-0.015730854,0.020866018,-0.01679184,0.029452913,-0.015603536,0.014266696,-0.017272819,-0.02822217,-0.039581772,0.021941146,-0.0062138285,-0.015363046,-0.020186987,0.005361505,-0.015928905,-0.019833326,0.015278167,0.026170935,-0.032904647,0.0038407615,-0.0149386525,-0.0010928134,0.011960824,0.008176649,-0.026298253,-0.011112037,0.046258897,0.18548827,0.0129935155,-0.0051882113,0.031348538,0.0055595553,0.013142053,-0.01034813,0.00588846,-0.0046754023,0.018630877,-0.0054499204,0.02256359,-0.00023827929,0.0010503741,0.005142235,0.018050874,-0.042411063,-0.036780775,-0.012583269,-0.036214918,0.02320018,0.012802538,-0.013474495,-0.02618508,0.02093675,-0.002560508,-0.028872907,-0.002590569,0.030867556,-0.0010008615,-0.009082022,-0.024445068,0.010843255,0.02914169,-0.007964453,-0.0020777602,-0.012816685,0.008013966,0.027585581,-0.014981092,-0.0047744275,-0.011875946,0.00791494,-0.004541011,-0.004403083,0.015334753,-0.003340331,-0.020370891,0.0066382224,-0.004915892,-0.028788028,-0.011366674,0.009237633,0.0049583316,-0.014485966,0.0014066878,0.028887054,0.0040812516,0.007830061,0.0068009063,-0.011232282,0.025689956,-0.018772341,0.006528587,-0.0066240756,0.005715166,-0.02133285,0.014684017,0.009718613,-0.0043252776,0.014104012,-0.024247017,-0.012151802,0.0015693719,-0.0116566755,-0.0137574235,0.006907005,0.0055489456,0.022747494,0.034998324,-0.0033633187,-0.0019380639,-0.006549807,-0.0014968714,-0.009237633,-0.024671411,0.021262119,-0.0029707546,-0.018446974,0.0025817275,-0.0018425753,-0.014464746,-0.033923194,0.022846518,-0.004795647,-0.0016312627,0.01201741,0.004926502,-0.0026082522,0.0038407615,-0.011762775,0.055991653,-0.000906257,0.0023748358,-0.005821265,-0.01670696,-0.031235365,0.013785717,0.026977282,-0.027656313,0.0029477668,-0.030924143,0.008275675,-0.0005972455,-0.014514259,0.01598549,0.010631059,-0.021827973,-0.0042085694,0.018560145,-0.006730174,-0.021516751,-0.003556064,0.015292314,-0.022577737,-0.01622598,-0.021021629,-0.013340103,-0.013686691,-0.036384676,0.010468375,-0.022507004,0.0034570391,-0.003566674,0.020837724,0.02276164,0.0018160507,-0.015490364,-0.015051824,0.0026559965,-0.0140545,-0.008190796,-0.0018284288,-0.016636228,0.010206665,-0.0051316256,-0.013403762,0.017371843,-0.021064067,-0.029056812,-0.0011432102,-0.007582498,0.00033973585,-0.01738599,0.021021629,-0.02762802,-0.007837134,-0.027005576,0.027246065,-0.018814782,-0.013057174,0.03225391,0.017074768,-0.0005503854,-0.012972296,0.0013129676,-0.18311167,0.012908637,0.019126004,-0.015603536,0.023978235,0.00069406023,0.03924226,0.010609839,-0.010779596,-0.004441986,-0.022874812,-0.0056090676,-0.04891843,0.011444479,0.021460166,0.0009663795,0.010065201,0.017640626,0.021615777,0.019649422,0.03983641,0.0019663568,0.023384083,-0.0026011788,0.0027974606,0.008091771,-0.027684605,0.04258082,0.009039583,-0.0041555203,-0.013142053,-0.010496668,0.021658216,-0.005375651,-0.018135753,-0.020314306,-0.009272999,-0.022139195,-0.011345454,0.02462897,0.013587667,0.0064366353,0.0077239624,-0.002134346,-0.008466652,0.020356745,0.012668147,-0.02368116,0.02168651,-0.009152754,0.025803126,-0.023709452,0.034149535,0.0088627525,0.014485966,0.014684017,-0.0037063702,-0.00023827929,0.010171299,0.0051493086,-0.0073773745,-0.030556334,0.008367627,-0.008968851,-0.027048014,-0.044108633,-0.041335933,0.004731988,-0.008820313,0.0057788254,-0.008212016,-0.010652279,-0.0011096123,-0.013311811,0.009485196,0.021743095,-0.02539288,-0.002371299,0.018192338,0.00039742686,-0.005209431,0.033753436,-0.016211834,-0.0037523462,0.007851281,-0.029566083,0.009393244,0.0036321015,0.007161641,-0.0049866242,-0.0034092946,0.008311041,0.0065993196,-0.037544683,-0.0001041643,0.024982633,0.00054331217,-0.011585943,0.030443164,-4.2273576e-05,-0.00903251,-0.004862843,-0.029481204,0.027175333,0.022874812,0.026920697,-0.031631466,0.028391927,0.040091045,0.0017453184,-0.027090454,0.00395747,0.011875946,0.0052412604,0.0008479029,0.030443164,0.013934255,0.002908864,0.0011874179,0.0077876216,0.011232282,-0.014924507,-0.002549898,0.011854726,-0.03165976,-0.01806502,-0.097044654,-0.0155469505,0.009407391,0.013870596,-0.008735434,0.015773294,-0.0076603033,-0.010532034,-0.006394196,0.027500702,-0.009138608,-0.019988937,-0.0055843117,-0.006988347,0.027896803,0.037290048,-0.0024738607,-0.0082544545,0.011303014,0.037629563,-0.006111267,-0.03245196,0.0071298117,-0.017838676,-0.003191793,0.018885514,-0.030329991,0.021460166,0.0029795964,0.038223714,0.019988937,-0.012661074,0.03381002,-0.020370891,-0.0036055767,-0.02276164,-0.0011962594,-0.006532124,-0.007540059,-0.05321895,0.013863523,0.02738753,0.030047063,0.0025233733,-0.008763727,-0.026086057,-0.018828928,0.025689956,0.010461302,-0.005266017,-0.0034959419,-0.008685921,0.015419632,-0.017456722,0.017725505,-0.009393244,-0.0055418722,0.006026388,-0.020781139,0.006889322,0.0031758782,-9.622074e-06,-0.04846574,0.019550396,0.00054242805,0.008629336,-0.040939834,-0.009994469,0.014966945,-0.012279119,-0.03652614,0.03584711,-0.02523727,0.00021363352,-0.018588439,0.005025527,-0.014294989,0.014224256,0.026581181,-0.008784947,-0.020045523,-0.036186624,-0.0016798911,-0.00529431,0.0106169125,0.011295941,-0.006641759,0.01914015,-0.0011158014,-0.03545101,0.030188527,0.0303017,0.01052496,-0.0006144865,-0.00990959,0.030386578,0.008905192,0.009046656,-0.0019044661,-0.00053579686,-0.032876354,0.009959103,-0.071750805,0.020116255,0.03078268,0.0130288815,-0.00395747,0.0035825889,0.011472772,0.0016356835,-0.010242032,0.00853031,-0.0063093174,0.018362096,-0.022110904,0.0010379959,-0.010114714,-0.03536613,0.02005967,-0.0023836773,0.044617906,0.017711358,0.0015021763,0.00020799704,0.019762594,0.022153342,-0.0068256627,0.006111267,0.016339153,0.024402628,-0.00028911812,-0.008657629,0.039440308,0.0018010201,-0.010906913,0.020484064,-0.0060582175,-0.028533392,-0.013700838,-0.0057116295,0.043118384,0.0053084563,-0.014768895,-0.010899841,-0.009336659,-0.020597234,-0.004091861,-0.016042076,-0.0150942635,-0.01181936,0.02690655,0.005838948,0.018517707,0.005082113,0.002618862,-0.006723101,-0.0069742007,-0.021785535,0.020639675,0.00656749,0.026439717,-0.026722647,0.0069140783,0.0029919744,0.011593017,0.00115382,-0.0018072091,-0.022054316,-9.8527824e-05,0.0021927,0.017513309,-0.018998686,-0.025491904,-0.001506597,-0.00061050785,0.008091771,0.009485196,-0.009676173,0.0023677624,-0.011783994,0.010623986,0.005962729,0.0032253908,0.00372759,-0.03245196,0.03887445,0.022337247,0.010065201,-0.017202087,0.0059698024,0.0003202845,0.00835348,-0.035394423,0.016593788,0.0006109499,0.0058813873,-0.006868102,0.01177692,-0.0022652007,-0.031065607,0.010036908,0.02626996,0.007299569,0.0027090453,-0.021785535,-0.031716347,-0.017994286,0.0104259355,0.0027284967,-0.02894364,0.004551621,0.00027983452,0.002364226,-0.012491317,-0.015122556,0.003985763,-0.027910948,0.010270325,0.0019628203,0.00441723,-0.019168442,0.02870315,0.017739652,0.014146451,-0.011394966,-0.0069635906,0.023567988,0.011189843,0.01679184,-0.009739832,0.007879574,-0.011550577,-0.008282748,0.013347177,-0.004074178,-0.023115302,-0.0034871004,-0.008968851,-0.01539134,0.008487871,-0.00059282477,0.091103144,-0.006394196,-0.0014535479,-0.010383496,-0.021559192,0.01177692,0.008247382,0.016876718,-0.007964453,-0.028066559,0.026326546,-0.012569122,-0.010404715,-0.038506642,-0.014415234,0.012158874,-0.018531853,-0.0033739286,-0.0107371565,0.0061749257,-0.0072924956,0.0043535708,0.0102349585,0.009704466,-0.012052776,6.796928e-05,0.014111085,0.004505645,-0.013722057,-0.033838313,-0.023030423,-0.008537384,0.0040458855,-0.018998686,0.016211834,-0.001881478,-0.03293294,0.019437226,0.0126469275,0.007490546,-0.018828928,0.01758404,-0.010652279,0.0013200408,-0.027330944,0.0005128089,-0.0012077533,-0.027896803,-0.009746905]', 'plot a scatterplot of food price movements and number of fatalities in TCD from 2008-01-01 using HDXData data, including regression line as an image', '{"mem_type": "memory", "custom_id": "ac45bc1c-6d0c-47f9-a803-0616b9cb9494"}', 'ac45bc1c-6d0c-47f9-a803-0616b9cb9494', 'cc8aaadf-e00a-4da9-b701-63353264bab3'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.019595653,0.008313095,-0.021360522,-0.012529172,0.015281527,0.022887275,-0.0024862248,0.01735455,0.0021588134,-0.042861115,0.0007362377,0.014153973,-0.005182553,-0.022495082,-0.0063486276,0.007738812,0.0058268704,-0.037286367,-0.006096503,-0.013278541,-0.0125852,0.006803852,0.031711623,0.0038589009,0.0040444923,-0.005424172,0.013138472,-0.031151345,0.009265564,-0.00858623,0.016065914,-0.034372933,-0.0027365983,-0.049136207,-0.010351099,-0.004454194,0.0005370771,-0.009664761,0.0077318083,0.008656264,-0.0070279622,-0.022579124,-0.008152016,-0.030787164,-0.007962923,0.019343529,0.0031883207,-0.006670786,-0.013516659,0.034092795,0.012774293,0.02390978,-0.021262474,-0.0092165405,0.017060405,0.0068563777,-0.005466193,-0.021724703,-0.0085582165,-0.026473042,0.016205983,-0.021612648,-0.025016325,0.003869406,-0.026627118,-0.03557753,0.012592203,0.009146506,0.0395835,0.008397137,0.046278797,0.029246408,-0.0022411041,-0.035045266,0.026501056,0.012466141,-0.032383952,-0.005084505,0.0129914,-0.0026455533,0.027103351,-0.02390978,-0.0110794585,0.010218034,0.0072835884,-0.007892888,-0.008320099,0.035941705,0.0004981204,-0.0013070189,0.014609197,0.012284052,0.024470055,-0.0010321335,-0.004454194,-0.0031252897,-0.011576703,0.030142847,0.028363973,-0.014623204,-0.006712807,0.002559761,-0.02580071,-0.016696226,-0.028223904,-0.01825099,0.002204336,0.0085582165,0.021122405,-0.022214944,-0.019735722,0.018475102,0.0006950924,-0.023307482,-0.021346517,-0.030422986,0.010904372,0.0014287039,-0.023713682,-0.03420485,0.01825099,0.016346052,0.010253051,-0.011604717,0.0076547707,0.024792213,-0.009832844,-0.038294867,0.005718317,-0.008817344,0.0029134352,0.004307122,0.0036943199,-0.013488645,-0.012059941,0.013754776,0.0010925382,-0.00021820124,-0.039107267,-0.036866162,0.02575869,0.015757764,0.015435603,-0.010112982,-0.010645244,0.0312634,0.027327463,0.0027716155,0.001006746,-0.029134354,0.0068948967,-0.023559606,-0.010112982,0.0023461557,-0.014721252,0.014195994,-0.0033704103,-0.0030044802,-0.0027873733,-0.010974406,-0.0071225087,0.002803131,0.005413667,0.02764962,0.041768577,0.03720233,-0.022901282,-0.025604613,-0.0055782483,-0.002813636,-0.004930429,0.014273032,0.0013770534,-0.01721448,0.009251557,-0.0042615994,-0.025450539,0.021122405,-0.015561665,-0.018881302,-0.003806375,0.033868685,0.01654215,0.012494155,0.0041460423,-0.008677275,0.02535249,0.0058793966,0.019021371,-0.018264998,0.029498532,0.0118008135,-0.005812864,0.0006053607,-0.62123406,-0.024848241,-0.005059993,-0.028279932,0.024456048,-0.0066042533,0.024161903,-0.001057521,-0.021486586,0.011058448,-0.0008736804,0.030114833,0.0010461403,-0.045578454,0.008985426,-0.017186467,-0.027411504,-0.018307019,0.014693239,0.023265462,-0.022439055,-0.015603686,0.0077668256,0.013712755,0.013565683,0.016794274,0.028209897,0.0033896698,-0.009720789,0.012886348,-0.020366034,0.009321592,-0.012522169,-0.01757866,0.03316834,0.00381688,-0.011604717,0.01402791,0.004895412,0.032299913,-0.02277522,-0.009685772,0.022200936,0.018307019,-0.010070961,0.00047842317,-0.010666255,-0.015519645,0.004317627,-0.04437386,0.0039184303,0.0050074668,-0.025870744,0.013271539,0.014749266,-0.005606262,-0.001834904,-0.0012124723,0.024105875,0.0011345589,0.0062470776,-0.018433081,-0.032524023,-0.003505227,-0.0067548277,0.028588085,-0.019175448,0.008215047,-0.0008570472,-0.024918275,-0.0020310006,-0.015785776,0.0022060869,-0.007969926,0.024834234,0.011807817,0.005935424,-0.019091405,-0.012326072,-0.005403162,-0.0005545857,0.010652248,-0.022467067,0.00899243,0.0013814305,-0.010274061,-0.04804367,0.0055397293,-0.0007147896,0.016486121,0.0031515525,0.019231474,0.009237551,-0.009538699,-0.015645707,0.008243061,-0.018685205,0.014217004,0.0054346775,-0.017060405,-0.014581183,-0.01865719,-0.004653793,0.008411144,0.051545393,-0.0031813174,-0.029610587,0.0050775013,0.041152272,-0.021514598,-0.018068902,0.0062330705,-0.03361656,-0.026543077,0.020492096,-0.0330843,0.026543077,-0.009097482,0.026374994,-0.0012571194,0.038462948,0.015505638,0.025912765,-0.031151345,0.011107472,0.03442896,0.006803852,0.0015214996,-0.020870281,-0.00939863,0.000786575,0.011499665,0.012186003,-0.009622741,0.023419537,-0.00381688,0.005791853,0.0019364539,-0.013208507,-0.00249673,0.018321026,-0.0075147017,0.0013148978,-0.028518049,-0.007598743,-0.023545599,-0.025436532,-0.005669293,-0.008004944,0.007115505,-0.0017998867,-0.020295998,-0.01016901,0.030731138,0.024189917,-0.0041460423,0.02738349,-0.007220557,0.005613265,0.0037048252,0.01613595,0.03266409,-0.003160307,-0.011296565,0.0074166534,-0.00438416,-0.008691282,0.05020073,0.017676707,-0.004979453,0.017130438,-0.026907256,-0.017368557,0.038462948,0.0011170503,0.037566505,-0.015533651,-0.006366136,-0.005550234,-0.01735455,-0.002307637,0.0065272157,-0.007248571,-0.017396571,0.029610587,-0.007584736,-0.013852824,-0.007090993,-0.014581183,0.02941449,-0.020688191,0.026557082,-0.009720789,0.018012874,0.013264535,0.031543538,-0.016528143,0.022116896,0.0024021834,0.025380503,0.0322719,0.013502652,-0.0046292804,0.0043421392,0.03272012,-0.042637005,-0.0028241412,-0.018222976,0.0016484371,0.00249673,0.018279005,-0.03773459,-0.008116999,-0.0034491993,-0.002396931,0.010316082,-0.01154869,-0.0067723366,-0.021136412,0.008894382,0.015155465,0.0028101343,0.014973376,0.008460168,-0.0063381223,-0.022831248,-0.0071855397,0.015099438,0.0061945515,-0.03507328,-0.0065412223,0.016304033,-0.014041917,0.008740306,0.033364438,0.00781585,0.0027068334,0.014153973,0.0017281013,0.008362119,-0.0007738813,0.009692775,0.0036978216,-0.017410576,0.005875895,0.007248571,0.013054431,0.017228488,-0.017746743,0.031095317,0.010512179,-0.0065937485,-0.0012396107,0.020394048,0.0011415624,-0.0003285056,-0.011163499,0.022985324,0.048547916,0.037286367,0.032243885,0.017550645,-0.010456151,0.0020029868,-0.014623204,-0.03493321,-0.0062926,0.0031042793,-0.023755703,0.00096560066,-0.001376178,-0.013285545,0.0016318039,-0.028672125,-0.008439157,-0.015967866,0.00996591,-0.015337555,0.01802688,0.002969463,-0.024035841,-0.030422986,0.029274423,-0.0027173387,-0.0062085586,-0.029834695,-0.023657655,0.009125495,-0.01920346,-0.0005191307,0.0056412793,0.010491168,0.03610979,0.0012063443,-0.008306092,-0.0020590143,0.024974303,0.0065272157,0.0075637256,0.016710233,-0.025674649,-0.008488182,-0.026290951,-0.03428889,0.044597972,0.016556157,-0.0049059168,-0.011632731,-0.011212524,-0.005707812,0.008081982,-0.011618724,-0.012711262,0.04134837,0.0013542922,0.0068983985,-0.02805582,0.013866832,0.037062258,0.012935372,-0.006649776,-0.046026673,-0.025016325,0.013124466,0.040143777,0.0048288787,0.011709768,-0.01613595,-0.02155662,0.0076407637,-0.020912303,-0.01993182,0.00088593643,0.011030434,-0.0039149285,0.007549719,0.018587157,0.0039289356,0.023279468,0.0012273546,0.0014943612,-0.03941542,-0.02575869,-0.006114012,-0.0053541376,-0.0045382357,-0.004982955,0.019819764,0.019455584,0.03190772,0.040591996,0.028574077,0.0030657602,-0.0017499871,-0.009286575,0.018937329,-0.0027050825,0.01794284,-0.0050494876,0.006320614,0.016304033,-0.0047273287,0.020492096,-0.0011310572,0.020940317,0.01321551,-0.00022958186,-0.016149957,0.011835831,0.008740306,-0.0029922242,0.009902879,-0.0011371853,-0.007899892,0.000974355,-0.006852876,0.0005322622,-0.010631237,-0.017340543,0.016388074,0.0054731965,-0.021850765,0.009923889,-0.003183068,-0.03031093,0.0037223336,0.014427108,-0.025968794,-0.01956764,-0.012073948,-0.042917144,-0.021220455,-0.008761317,-0.004366651,0.011324579,-0.03367259,-0.01059622,0.020548122,0.010379113,0.029302435,0.019455584,-0.018012874,0.006408157,-0.022411041,-0.0029904733,-0.011093465,-0.014266028,-0.023671662,-0.014903341,0.0075287083,-0.024736186,-0.017074412,0.0008653638,0.0034369433,0.0077878362,-0.010316082,0.03524136,-0.017410576,-0.019651681,0.0043876613,0.008936402,-0.010974406,0.0014357073,-0.005403162,0.025912765,-0.037650548,-0.020590143,-0.0011538184,0.03619383,0.0010627735,-0.010974406,0.0015372573,-0.012214017,-0.02440002,0.0033966734,-0.01455317,-0.0014041917,-0.015365569,0.017270507,-0.006709305,-0.00976281,-0.008215047,0.00038256348,-0.011373603,-0.011835831,0.013978886,-0.013950873,-0.0010916628,-0.015197486,0.018615171,-0.0034474484,-0.0111424895,-0.026080849,-0.008866368,-0.023013337,0.017144445,0.01321551,-0.008285082,-0.026304958,-0.003855399,-0.02159864,-0.011247541,0.012466141,-0.01680828,-0.013866832,0.0030324939,0.0046012667,-0.02933045,-0.010477161,-0.021668674,-0.001883928,0.013971883,-0.007857871,0.011485659,0.0127883,-0.0022095884,-0.0058163656,-0.032243885,-0.019553633,-0.019581648,-0.028223904,0.03330841,0.01911942,0.0077037946,0.033980742,0.04874401,0.026318965,0.0009025696,-0.0021850765,0.016233997,0.009118492,-0.023741696,-0.025086358,-0.004965446,-0.0013630465,0.026781194,-0.00019095345,-0.016093928,0.025688656,-0.0036733097,-0.016962357,-0.026655132,0.015421596,-0.038799115,-0.012879345,0.007034966,-0.017116433,-0.010715279,-0.03823884,-0.001713219,0.043505434,-0.012031928,0.011009424,-0.0050144703,0.0050669964,0.0052280757,0.024666151,0.008705288,0.015141458,0.0012842576,0.0048849066,-0.008775323,0.020464081,0.01911942,0.0063276174,-0.009349606,0.0032653587,0.00205026,0.0059459293,0.02498831,0.012725269,0.023671662,-0.002803131,-0.0026700653,0.0051650447,-0.020590143,-0.028420001,-0.019917812,0.0088873785,-0.016850302,-0.022789227,0.026725166,-0.019833772,-0.018769246,0.014357073,-0.008502188,0.03375663,0.0066322675,0.022649158,0.006583243,-0.0066182604,-0.016500128,0.020814253,-0.013656728,0.0049339305,0.025100365,0.017466605,-0.016780267,-0.03669808,0.029890724,0.01658417,0.017550645,-0.050732993,0.016079921,0.012052937,0.007154024,-0.027733663,0.011632731,-0.040591996,0.0071014985,-0.0004326819,-0.016640197,0.009587724,-0.012087955,-0.02344755,0.0021220455,-0.02033802,0.014847313,-0.009020444,-0.025772696,0.01118451,-0.014889334,-0.015659714,0.012347083,0.008313095,-0.004086513,0.021276481,0.026739173,0.00229363,-0.004086513,0.026136877,-0.010379113,0.007472681,0.033112314,-0.013628714,-0.009531695,0.0032916216,0.0022883774,0.003960451,0.0040690047,-0.02214491,-0.0032968742,0.0034439466,0.0018611668,0.036529996,-0.01987579,0.00012332638,-0.015967866,-0.0067058033,-0.0050389823,-0.016696226,0.0027208405,-0.0033318915,-0.0046397857,0.0061980532,0.0013831814,-0.0037468455,0.019035378,0.035493486,-0.018068902,-0.004447191,0.03249601,-0.015169472,0.03162758,0.036838148,0.0053786496,-0.041964673,-0.0019171943,-0.025870744,0.00048761518,0.0054556876,-0.02846202,-0.042721044,-0.004713322,0.0035717597,0.026795201,0.001591534,0.014693239,0.00249673,0.010035944,0.010498172,-0.024610125,-0.01321551,0.02042206,-0.023237448,0.006369638,0.020310005,-0.016570164,0.009020444,-0.03272012,0.006688295,0.03406478,-0.030451,-0.033420466,-0.0014208249,0.029694626,-0.028083835,-0.0018243988,-0.022074874,-0.008649261,-0.01825099,0.018671198,-0.0017604923,0.0037608526,0.022537103,0.02214491,-0.013859828,-0.005259591,-0.0077878362,-0.013964879,-0.014763273,0.005133529,0.012515166,-0.012326072,0.012115968,0.029974764,0.021542612,-0.04148844,-0.030507026,-0.013047428,-0.050116688,-0.0072905915,-0.0051300274,-0.0033896698,0.023783717,0.038266852,0.012648231,-0.0056027602,0.006499202,0.0060474793,-0.012466141,0.00063118595,0.01398589,-0.025730675,0.0013893094,-0.0061735413,-0.016850302,-0.02571667,0.0020152428,0.010063958,0.031795666,0.020225964,-0.035857666,-0.002624543,-0.0058058603,0.016332045,0.021136412,0.008460168,0.0035840156,-0.049332302,-2.8260016e-05,-0.0029589578,-0.0055222204,-0.0005594006,-0.012669241,-0.02697729,-0.0048498893,-0.002458211,-0.023671662,0.0021868274,-0.00976281,-0.018054895,0.007878882,0.0013901849,-0.016738245,0.03616582,0.014889334,0.0011897112,-0.0019592152,0.0014952366,-0.022579124,-0.012087955,-0.022789227,-0.008677275,0.015757764,-0.018909315,0.010694268,-0.042216796,0.0040549976,0.0030885215,-0.028349966,-0.020436067,0.010302075,0.011009424,-0.0006469437,-0.024021834,0.008390133,-0.027985787,-0.027089346,0.006485195,0.010771306,-0.01776075,0.014973376,-0.016191976,-0.029302435,-0.020814253,0.021850765,-0.0032811165,-0.008880375,0.044850096,0.19307111,0.016654205,0.0143220555,0.021850765,-0.03330841,0.024217932,0.0076267566,0.032019775,0.009867861,0.019497605,-0.02539451,-0.00013634842,0.0054206704,0.0010610227,0.019497605,-0.007311602,-0.03546547,-0.039387405,-0.0110794585,-0.016248005,-0.0012203512,0.0020607652,-0.0071505224,-0.0247642,0.00840414,0.00032828673,-0.027439518,-0.008327102,0.023615634,0.020842267,-0.01743859,-0.010295072,7.3317366e-05,-0.011597713,0.0019329521,-0.006709305,-0.0025877748,0.013999897,0.03353252,0.0030149852,-0.022649158,-0.00448571,-0.0014794789,0.00021218265,0.017116433,0.011219528,0.015533651,-0.020183943,0.007297595,0.009657757,-0.0073676296,-0.023811731,0.013425614,0.0320758,-0.007374633,-0.0017902569,0.04207673,-0.0056622894,0.0055957567,0.025464544,0.0006136773,0.033868685,-0.0049619447,-0.01317349,0.0028819197,0.014413101,-0.023195427,-0.011401617,0.007773829,-0.009566713,0.03168361,-0.019133426,-0.010946393,-0.007045471,-0.014875327,-0.019371543,0.03112333,0.021850765,0.017102426,0.0011249292,-0.0017902569,-0.015967866,0.005553736,-0.0023251455,0.005616767,-0.03258005,0.00239518,0.012010917,-0.030479014,0.014707245,0.014693239,-0.012676245,0.0025002316,-0.0014567176,0.001453216,-0.0006863381,-0.0046047685,0.020043874,-0.01889531,0.008719295,-0.0043211286,0.02571667,0.025058344,-0.008271075,0.016696226,-0.021052372,-0.0010837839,0.02074422,0.0016431845,-0.02399382,-0.0031165353,-0.050536897,-0.010295072,-0.011037437,-0.0070034503,0.01595386,0.005690303,-0.023713682,-0.0030885215,0.014399094,-0.017690714,-0.03249601,-0.0032583552,-0.0063626347,-0.03258005,0.0077598225,-0.030479014,0.011114475,-0.0024949792,-0.020996343,0.022579124,0.011051444,0.019091405,0.015449611,0.005476698,0.004345641,-0.014539163,-0.013208507,-0.009468664,0.0033476492,-0.0048113703,-0.019651681,0.023321489,-0.00550121,-0.017732736,-0.0024494566,0.022789227,0.006457181,-0.017802771,-0.017648695,-0.00935661,-0.008880375,0.0078088464,-0.029078325,0.039527472,0.0005432051,0.012963386,-0.02074422,0.024442041,0.0070419693,-0.002407436,0.032187857,0.017004376,0.0013219012,-0.012683248,0.006012462,-0.17973654,0.010070961,0.017088419,-0.019147433,-0.011940883,-0.009223544,0.0019189452,-0.011856841,0.0013639219,-0.011394613,-4.8203434e-05,0.016696226,-0.027705649,0.009062464,-0.003158556,0.014931355,-0.003935939,0.021794736,0.0403959,0.009167517,0.020141922,-0.0034071784,0.040339872,0.00056859263,0.020450074,0.0023111387,-0.021402543,0.05698007,-0.0026648128,-0.002431948,-0.009083475,-0.021318503,0.03731438,0.0019399556,0.003323137,-0.015085431,-0.011170503,-0.007738812,-0.012578197,0.014343066,0.011457644,0.020057881,-0.002661311,-0.003489469,-0.013390597,0.02919038,0.022761213,0.0027033319,0.032187857,-0.0046677995,0.014224008,-0.038855143,-0.0036943199,0.013362583,0.030983262,0.0061665378,-0.00024971677,0.028167877,0.0017604923,0.0014103198,-0.018279005,-0.0072695813,0.009685772,0.0012466141,-0.011702766,-0.02376971,-0.03737041,0.016976364,-0.0044121738,0.030422986,-0.041768577,0.01353767,-0.020169936,-0.011450641,0.023027344,0.00026241053,-0.024245944,0.02001586,0.030030793,0.01897935,-0.0074236565,0.051181216,-0.007276585,-0.012550183,-0.0032758638,-0.0003792806,-0.008208044,0.010841341,0.009825841,-0.014889334,-0.0025965292,-0.039779596,0.0047308304,-0.03610979,0.01897935,0.020646172,0.0077318083,0.0028801688,0.027509551,-0.008733302,-0.0014217003,0.020884288,-0.026417013,-0.0062120603,0.035045266,0.006114012,-0.01776075,0.016864307,0.032411966,0.016486121,-0.018447088,-0.013684741,0.025226427,0.013705752,-0.0074516707,0.024203924,0.0039429422,-0.006621762,-0.0073466194,0.0085582165,0.010638241,0.013607704,-0.0075567225,0.004188063,0.0018156444,-0.020225964,-0.09827241,-0.0064361705,0.028321952,0.0036663061,-0.011723775,0.02309738,0.011499665,0.015967866,-0.014987382,0.02178073,-0.032103814,-0.027173387,-0.002176322,-0.0026403007,0.031095317,0.033196352,-0.019651681,-0.0023654152,0.03669808,0.027117359,-0.008208044,-0.0355215,0.0139298625,-0.015393582,0.01857315,0.0096087335,-0.004328132,0.024358,0.01599588,0.02620691,0.024792213,-0.04003172,0.038070757,0.0050249756,0.011121479,-0.014217004,-0.02001586,-0.0068213604,0.008418147,-0.03190772,-0.004965446,-0.0070664813,0.010554199,-0.010519182,0.014791287,-0.035605542,-0.007843864,0.003988465,0.00048323802,-0.023489572,-0.013691745,-0.008131006,-0.0010365106,0.004394665,-0.0062855966,-0.0065377206,0.018587157,0.012017921,-0.014469128,0.003030743,0.020085895,-0.0009008188,-0.027803697,0.018839281,0.007010454,0.024792213,-0.03515732,-0.00015112132,0.019105412,-7.08005e-05,-0.04569051,0.034905195,-0.021388536,-0.0060474793,-0.022761213,-0.0034491993,-0.016290026,1.5210618e-05,0.024680158,0.0109393895,-0.016752252,-0.024077863,0.008257068,-0.017788764,0.00917452,-0.0022726196,6.3742336e-05,0.017858798,0.020239972,-0.039303362,0.03975158,0.027579587,0.029218394,-0.017340543,-0.006649776,0.017228488,0.013670735,0.04104022,-0.038266852,-0.01956764,-0.05712014,0.01301241,-0.070426695,0.018293012,0.008208044,0.020043874,-0.002025748,-0.0012264792,0.017928833,0.008873371,-0.022116896,0.0025580102,0.013810804,0.021514598,-0.015925845,0.0031533034,-0.012052937,-0.0021325506,0.0022831247,0.0056868014,0.023825737,0.001183583,-0.019917812,0.009244555,0.028139863,-0.013859828,-0.009685772,0.0008180905,0.002356661,0.022481075,0.0043421392,-0.010028941,0.021206448,-0.015379576,-0.010330089,0.018965343,-0.009020444,-0.014665225,0.0103440955,-0.006786343,0.028069828,0.006810855,-0.028013801,-0.018951336,-0.0055572377,-0.009062464,-0.002764612,0.0035962716,0.011009424,0.0028013801,0.015365569,-0.0042580976,0.025954787,0.018853288,-0.014945362,-0.0059424276,-0.0011152994,-0.035493486,0.0023881765,0.026851228,0.0255766,-0.0033073793,0.013432617,0.024119882,0.015057417,0.0057393275,-0.016850302,-0.00048061175,0.015057417,0.0037853646,0.015603686,-0.03627787,-0.03669808,-0.035773624,0.0075147017,0.004594263,0.015967866,-0.029694626,-0.012844328,0.008166023,0.0040690047,0.0033073793,-0.004930429,-0.023671662,-0.044429887,0.048603944,0.0029029301,0.0062890984,-0.009349606,0.015463617,-0.019721717,0.011821824,-0.026234925,0.00083559914,0.011730779,0.003121788,-0.03616582,-0.0032058293,0.015519645,-0.0044646994,0.00062462024,0.03568958,0.0062996033,-0.000974355,-0.0038028732,-0.010561203,-0.036445953,0.010995417,0.0009209537,-0.020856274,0.015281527,-0.0024774706,-0.005711314,-0.009349606,-0.02535249,0.008411144,-0.007010454,-0.0060334723,0.0048708995,-0.0058653895,-0.009223544,0.010176013,0.016163964,0.0021167928,-0.004751841,0.00032675473,0.024862248,0.020057881,0.026178896,-0.003988465,0.010757299,-0.01382481,0.011436634,-0.0025860239,-0.007675781,-0.019735722,-0.022312993,0.013971883,0.005389155,0.0036242856,-0.018110922,0.096983775,-0.0026648128,-0.0063136104,0.004678305,-0.00438416,0.00899243,0.008880375,0.008432154,-0.012438128,-0.017802771,0.043365363,-0.013054431,-0.0056482824,-0.053898554,-0.0048113703,0.008053968,-0.030142847,0.014847313,-0.00858623,0.007006952,0.010995417,0.0106102275,0.013754776,0.008642257,-0.04409372,0.00019631546,0.0036522993,-0.015085431,-0.010743293,-0.0073256087,0.006709305,-0.022621144,-0.0098118335,-0.023727689,0.0022183429,-0.010785313,-0.0036417942,-0.008327102,0.027677635,0.016430095,-0.00069859414,0.011989906,-0.015099438,-0.0010093723,-0.003921932,0.0057848496,0.0037748595,-0.017746743,-0.004331634]', 'plot a map of population by admin1 for Haiti using HAPI data as an image', '{"mem_type": "memory", "custom_id": "6d99b884-06d8-452e-9ba1-ed5e6417b381"}', '6d99b884-06d8-452e-9ba1-ed5e6417b381', 'b182da75-30ff-457b-af16-2adeb40a6a30'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.019067306,-0.010851766,-0.012734785,-0.0086200405,0.0012265773,0.0072461343,-0.018035132,-0.024702413,-0.010000921,-0.0146178035,0.008117902,0.037465096,0.034033816,-0.0013599579,0.00091797154,0.02725495,0.0028140666,-0.018913874,0.019388117,-0.01838384,-0.04435555,0.006067504,0.029402986,-0.004916771,-0.0031557996,-0.00097638,0.020266859,-0.030965194,0.0079853935,-0.0014079051,0.02261017,0.00032495146,-0.010238042,-0.019834463,-0.02294493,-0.010272913,-0.015984735,0.004184486,0.027561812,-0.0073995655,0.00065339,-0.02181512,0.004282124,0.0014026745,-0.0153989075,-0.0041775117,0.030016711,-0.023293637,-0.025455622,0.025832225,0.007566945,0.027854726,-0.016710047,0.0059942757,0.023991052,0.0146178035,0.010307783,0.00039665436,-0.005948944,-0.019429961,-0.0056385943,-0.0028628856,-0.023056516,0.008138824,-0.028538192,-0.030156193,-0.007755247,0.00024540265,0.017588789,0.024911638,0.033726953,0.043211788,0.0016737942,-0.005091124,0.0058268965,0.011214422,-0.03116047,-0.008808343,0.005795513,-0.0033998946,0.036098164,-0.023474965,-0.00522712,-0.00048819,0.028524244,-0.0048923614,0.010551878,0.043686032,-0.014506217,-0.009219817,0.029988814,0.0087176785,0.028008157,0.0043379166,-0.0031261595,0.0024775642,-0.0038741364,0.029151917,0.024646621,-0.024270017,-0.00032124645,-0.0046691885,-0.017309822,-0.006506875,-0.019332323,0.0023154153,0.01180025,-0.011284163,0.0022352128,-0.025204552,-0.014952562,0.02814764,0.011277189,-0.03651661,0.0062871897,-0.03328061,0.003323179,-0.016333442,-0.0067614317,-0.011570103,-0.0020695769,0.023474965,0.0034574312,0.00045680636,0.012769655,0.011772353,-0.019304428,-0.044160273,0.019750772,-0.0027635042,-0.008020264,0.0031104677,0.01789565,0.011339956,-0.018272255,0.049906965,-0.03570761,0.02523245,-0.016403183,-0.026250673,0.0069113756,0.014059872,0.025971707,-0.0031191853,-0.012539509,0.0061825775,0.0077482727,0.017616685,0.004986512,-0.027798934,0.010747154,-0.0120094735,0.012190802,0.0077482727,-0.0024043357,0.022414895,-0.00850148,0.008410816,0.0015648233,0.005174814,-0.0019632212,0.012853345,0.019262582,0.02001579,0.0076436605,0.038050923,-0.0034713796,-0.020490032,-0.017114546,0.0141296135,0.012588328,0.0054956246,-0.014854924,0.0028663727,-0.003999671,0.015775511,-0.018244358,0.012971906,-0.027436279,-0.021926705,-0.01838384,0.011730508,0.033169024,0.0013032929,-0.008452661,-0.0027931442,0.015371011,-0.019639187,0.0048121586,-0.021368774,0.013460096,0.012079216,-0.010440292,0.00062287814,-0.6355955,-0.026390156,-0.013313639,-0.007964471,0.024939535,0.022596223,0.016961114,0.01033568,-0.04937693,0.021591946,0.011932759,0.032555297,-0.018035132,-0.023991052,0.022903085,-0.021731429,-0.014868872,-0.019276531,-0.00034260476,0.028789261,0.006782354,0.0010539673,-0.0011463747,0.013474044,0.0073019275,-0.009687085,0.028649779,-0.0039961836,0.019053359,0.03969682,-0.009408118,0.008745575,0.008557273,0.0011690407,0.033057436,-0.028524244,-0.008250411,0.017560892,0.044048686,0.040003683,-0.020978222,-0.0119118355,0.0143248895,0.008208566,-0.016807685,0.027687347,-0.009038489,-0.0028070924,-0.0074553587,-0.04402079,0.0035603,-0.006663793,-0.026989933,-0.008431738,-0.004979538,-0.024060793,0.0034539443,-0.006137246,0.012427922,0.006981117,0.008382919,0.0008591272,-0.020113427,-0.0050667147,-0.0066603064,0.006391802,-0.032025263,0.0024043357,0.010328705,-0.009045463,-0.007364695,0.012930061,-0.02228936,-0.0059559178,0.012769655,0.003713731,0.01968103,-0.02570669,0.008564248,0.028050002,0.013850648,-0.022247516,-0.01984841,-0.00551306,0.020071583,-0.0027059675,-0.04694993,-0.012072241,-0.0052898875,0.010042766,-0.0038253174,0.011974603,-0.0014567241,-0.04572248,-0.018425684,0.03043516,-0.02326574,0.020280808,0.005865254,-0.027701296,-0.014882821,0.0070682936,0.008968747,0.00594197,0.038441475,0.022749653,-0.008117902,0.013209026,0.03849727,-0.029402986,-0.0083341,-0.005969866,-0.032276332,-0.007413514,0.001985887,-0.035484437,0.027645502,0.00571531,0.008857162,-0.004362326,0.03994789,0.0030250344,0.025762483,-0.013376406,0.00048644646,0.0061267843,0.011556155,0.0021985986,-0.011221396,0.015636029,0.016291598,0.011249293,0.025274293,-0.030546745,0.011305085,0.0118630165,0.004557602,-0.010837818,-0.029765641,-0.040561616,-0.0020852687,0.016361339,0.005614185,0.0004472169,0.009617343,-0.030853609,-0.008647937,0.0128882155,-0.0045227315,0.0030808276,-0.016012631,-0.011284163,-0.009812619,0.024688466,0.017560892,-0.0008347177,0.024814,-0.011974603,0.018439634,-0.014234225,-0.011904862,0.0032621552,-0.019346273,0.017477201,0.020978222,0.008313178,-0.005962892,0.0333364,0.008982696,-0.019053359,0.0007706428,-0.021717481,-0.02693414,0.019959997,-0.0051957364,0.0117165595,-0.024116585,-0.0060814526,0.006555694,-0.027059674,0.032025263,0.024144482,-0.008982696,-0.04482979,0.031439435,0.0074972035,-0.002365978,0.024521086,0.016612409,0.009777748,-0.028705573,0.03043516,-0.008843213,0.0071171126,-0.0044529904,-0.00074187445,-0.0053038355,0.0040240805,0.020852687,0.009638266,0.029040331,0.0006777995,-0.003570761,-0.00018089183,0.02237305,-0.030379366,0.0124976635,-0.02262412,-0.011033094,0.025106914,0.017309822,-0.046726756,0.0047459044,-0.006663793,-0.0061895517,0.010747154,-0.013425225,-0.018007237,-0.022875188,-0.013306664,5.8353962e-05,-0.0143248895,0.025776431,-0.0116677405,0.0063952887,-0.008382919,-0.005502599,-0.0024461807,-0.0026955062,-0.019764721,0.0032168233,0.0025403316,-0.020294756,0.008041186,0.025106914,0.0025403316,0.023544706,-0.006241858,0.019416014,0.014506217,-0.006555694,0.013153234,0.009080334,0.0045541152,-0.01855122,-0.00072836207,0.013390354,0.008257385,-0.021870911,0.01717034,0.0064720046,0.012553457,0.015482597,0.0054502925,0.016347392,-0.012169879,0.003853214,0.014589907,0.039641026,0.028789261,0.021591946,-0.008738601,0.0008059494,-0.0007540792,-0.013711165,-0.00809698,-0.018802289,8.744921e-05,-0.020238962,0.0017548687,-0.00042825597,-0.0089617735,0.001340779,-0.016696097,0.01407382,-0.01814672,0.023893414,-0.012867293,0.020685308,0.004282124,-0.016654253,-0.008564248,0.03043516,0.008257385,-0.0077412985,-0.03166261,-0.024046844,0.00537009,0.008138824,0.017128495,-0.00060892984,-0.009861438,0.034647543,-0.0120094735,-0.004247253,0.013676294,0.023335481,-0.0150083555,0.0069532203,-0.0021166524,-0.018230408,0.0007837193,0.0032360023,-0.030016711,0.040812682,-0.00028550398,0.0019545036,-0.01569182,-0.0059384825,0.0031244159,0.010761103,-0.024339758,-0.025134811,0.004874926,-0.0036335285,-0.006050069,-0.011842094,0.018690703,0.039668925,0.0042088954,0.012909139,-0.037046645,-0.043183893,0.018969668,0.047619447,0.028287124,0.017881703,-0.010182248,-0.0050667147,0.003514968,-0.0044076582,-0.008940851,0.018858083,0.018160667,0.009198895,-0.0054433183,-0.00341733,0.015580235,0.010614646,-0.01708665,-0.026752813,-0.02750602,0.017881703,0.009150076,-0.017742218,0.0025368445,-0.004784262,0.019806566,0.016472925,0.008020264,0.017532995,0.027966313,0.022875188,-0.009233765,-0.024465293,0.019764721,-0.021201394,0.0035428645,-0.010635568,0.010607671,0.0053875255,-0.014938614,0.007434436,0.00944299,0.013027699,0.006409237,0.0025769458,-0.0038183432,-0.00048426705,0.010698335,-0.017477201,0.012560431,-0.015859202,-0.0010339167,0.007378643,-0.015357062,-0.012874268,0.022484636,-0.007532074,0.005432857,-0.0029186788,-0.005565366,-0.007992367,-0.014659648,-0.03392223,-0.010028818,0.044383444,-0.023879465,-0.032332126,0.0006616718,-0.040505823,-0.02001579,-0.013711165,0.0062488317,-0.027073622,-0.01937417,-0.011088887,0.007420488,0.0043727877,0.0077831433,0.014262122,-0.0032063622,-0.0042681755,-0.006088427,-0.019457858,0.00012825885,-0.0015717974,-0.0069009145,-0.014248174,-0.012455819,0.003950852,-0.0030668792,-0.012518587,0.019820513,0.0057362323,-0.043100204,0.0120582925,-0.02082479,-0.015287321,-0.020922428,0.018174617,0.012295414,0.008871109,0.0029500625,-0.009575498,-0.010279886,-0.019234685,-0.019987894,0.024814,0.009875386,0.0033475885,-0.008689782,-0.022233568,-0.017784065,0.0054502925,-0.013111388,-0.035679713,-0.019555496,0.002181163,-0.019820513,0.01212106,0.00055705965,-0.017198237,0.011688664,0.004672676,0.029235607,-0.00054311135,0.0030651358,-0.0143248895,-0.0012762682,0.0007126702,-0.031746298,-0.027408382,-0.012853345,-0.005035331,0.0191231,-0.013125337,-0.016361339,-0.015649976,0.00010183338,-0.020615567,0.0075948415,-0.009359299,-0.03392223,-0.03205316,0.010203171,0.00047598526,-0.019262582,-0.01521758,-0.020685308,-0.01289519,-0.00087569084,0.019025462,0.01350194,-0.0074553587,-0.010014869,-0.006642871,-0.016891373,-0.019067306,-0.030016711,-0.008752549,0.031857885,0.0097638,0.025846174,0.028440554,0.010314757,0.038943615,-0.0120025,0.022094084,-0.00465524,0.01025199,0.006098888,-0.023781827,0.005816435,0.009164023,0.009345352,-0.0067684054,-0.02309836,0.0029099612,0.0064196982,-0.0054851635,-0.016737944,-0.0035428645,-0.022066187,-0.0016092835,0.015315218,-0.014785183,-0.01203737,-0.049767483,-0.02035055,0.057243764,0.014743338,0.023628395,-0.000604571,0.009519705,0.016068425,0.047145206,0.017714323,-0.011388775,0.013739062,-0.0010818639,-0.026292518,-0.0040938216,0.01757484,-0.011116784,0.026780708,-0.002828015,-0.0010836074,0.0089548,0.012386078,-0.0024705902,0.022484636,-0.00057580264,-0.0022247515,-0.032025263,-0.046894137,-0.0071171126,-0.010070662,0.020531876,0.016975064,-0.016542668,0.008696756,-0.017602736,-0.0054363445,0.0012719093,-0.0063848277,0.03685137,-0.0151059935,0.04427186,0.024144482,0.0057780775,-0.017240081,-0.013683268,-0.023628395,0.018969668,0.016012631,0.053198762,-0.017742218,-0.02505112,-0.0074065397,0.008899006,0.028496347,-0.035177577,0.011702612,0.010621619,0.0142272515,-0.024786104,-0.017100599,-0.023474965,0.01399013,-0.0120582925,0.0037834726,0.008201592,-0.016528718,-0.0014915948,0.007831963,-0.04865162,0.02302862,-0.011646818,-0.0044320677,0.003469636,0.0027146852,-0.029681953,0.025860121,-0.0035306597,-0.0015090301,-0.0011289393,0.032555297,0.012135008,-0.011528258,0.0038497269,-0.02823133,-0.017993288,0.026418053,-0.02035055,0.006897427,0.012560431,-0.01813277,0.0077412985,0.0030023684,-0.01594289,-0.02107586,-0.008536351,-0.01041937,0.017686427,-0.010614646,-0.014408579,-0.007385617,0.005328245,-0.0045018094,-0.026139088,0.0021759325,0.014603855,-0.0123512065,-0.0045052962,0.010238042,0.005764129,0.022917034,0.020880584,-0.008982696,0.0056246463,0.021368774,-0.025595104,0.035428647,0.031774193,-0.007085729,-0.028621882,-0.004693598,-0.02131298,-0.0026606354,-0.0012797553,-0.030630436,-0.04206803,-0.017965391,0.0016999473,0.018788341,0.012190802,0.017100599,-0.012281465,0.027924469,-0.009289558,-0.021368774,-0.012016448,-0.005112047,-0.02651569,-0.001246628,0.010677413,-0.029821435,0.03961313,-0.018760445,0.005216659,0.016989011,-0.0027234028,-0.0083759455,0.0073437723,0.0028855517,0.0027704781,-0.0006211346,-0.021912757,-0.023963155,-0.009303506,0.026557535,-0.008389894,-0.0054572667,0.024604775,0.01053793,-0.021201394,0.010321732,-0.02262412,-0.020852687,-0.01863491,0.005844332,-0.0033597932,0.0022578787,0.011005198,0.015468649,0.028203433,-0.030714124,-0.033420093,-0.02408869,-0.029626159,-0.01742141,-0.02058767,0.007131061,0.010489111,0.010286861,-0.007232186,0.027366536,-0.0097638,0.018425684,-0.015677873,-0.0020957298,-0.0017906112,-0.020141324,0.03149523,-0.008947825,-0.009101257,-0.016166063,0.010663465,0.0142272515,0.03361537,0.043072306,-0.007183367,0.002444437,-0.015119942,0.010391473,-0.009373248,0.009610369,-0.0056455685,-0.038580958,0.005216659,0.0031488254,0.00043610187,-0.0081806695,-0.007082242,-0.020559773,-0.015119942,-0.025901966,-0.034508057,0.006890453,-0.005952431,-0.00944299,-0.00030708022,-0.009143101,0.0005522649,0.035456542,0.030518848,-0.010984275,-0.010272913,0.014659648,-0.014352786,-0.022582274,-0.010307783,-0.011137706,0.026306467,-0.015733667,0.02505112,-0.0013311895,0.01619396,-0.023893414,-0.0022648529,-0.028845055,0.019946048,-0.013271794,-0.010782025,0.0044076582,0.0041775117,0.0017278439,0.00453668,0.002219521,0.01659846,-0.040171064,-0.0013983157,-0.009742877,0.0015630798,-0.0007405668,0.007992367,-0.017811961,-0.0029622673,0.025581155,0.19918151,0.019583393,0.0077901175,0.033503782,-0.010028818,0.0017792782,-0.0049551283,0.022428844,0.012316336,0.022038292,9.742006e-05,0.019959997,-0.024590828,-0.00018263537,-0.005893151,-0.00049211294,-0.029905124,-0.016751891,-0.0179096,0.012413974,0.04865162,0.012114086,-0.00732285,-0.022596223,0.014840976,-0.0013024212,-0.0025682282,0.007894729,0.023419172,0.008027239,-0.022679912,-0.017784065,9.9000135e-05,0.010000921,-0.010809922,0.0033894335,-0.0007488486,0.0023293637,0.017519047,0.0037764984,-0.005070202,0.0057397196,0.008396868,-0.0064720046,0.023991052,0.007762221,0.00944299,-0.027533917,0.006109349,0.005404961,-0.013160207,-0.00496559,0.010510033,0.028063951,-0.02595776,0.008899006,0.025985656,0.007378643,0.0062662675,0.0021776762,-0.012999802,0.022414895,0.0030093426,-0.0084735835,-0.0051992233,0.010963352,-0.041454304,-0.023070464,-0.0004934206,0.003713731,0.024437396,-0.011542207,-0.016961114,-0.00502487,-0.0012841141,-0.012379103,0.012413974,0.004449503,0.038218305,0.024632672,0.0033353837,-0.0019440423,-0.004923745,-0.0048156455,-0.010900585,-0.023209948,0.018927824,0.0006424929,-0.016542668,-0.0016537436,0.013139285,-0.016249754,-0.016975064,0.028328968,-0.018216461,-0.010551878,0.025483517,0.014464372,-0.010391473,0.012616225,0.0037939337,0.018174617,-6.848826e-05,0.0046587274,-0.0042263307,-0.025804328,-0.015468649,0.0062244222,0.014380682,-0.014220277,0.005607211,-0.037688266,0.0052619907,-0.010272913,-0.00626278,0.010928482,-0.004494835,-0.023474965,-0.00465524,0.01553839,-0.009624317,-0.024618724,-0.007124087,-0.0012570892,-0.027157312,-0.025092965,-0.011409698,-0.0083341,-0.0076436605,-0.025650898,0.0050457926,-0.015022304,0.01919284,-0.0072600828,0.024772156,0.019904204,-0.0082783075,0.0017923547,-0.005237581,0.009812619,-0.014896769,0.0073019275,0.011869991,0.0054886504,0.030658333,-0.015371011,-0.0075041777,0.0062174485,-0.020713205,-0.016263701,-0.008006316,0.010342654,0.023656292,-0.017811961,0.027854726,-0.006496414,-0.023544706,-0.018746495,0.026655173,-0.0049202577,0.004634318,0.019946048,0.021494308,-0.00088745967,-0.013139285,0.0075390483,-0.18010026,0.015859202,0.025818277,-0.0071554706,0.003713731,0.0064685172,0.039194684,0.00033541268,-0.013404302,-0.009979999,-0.023991052,0.0055479305,-0.036656093,0.009659188,0.012944009,0.0349823,-0.010210145,0.018662807,0.016542668,0.018049082,0.017686427,0.010621619,0.019025462,0.0016275906,0.013481018,0.019778669,-0.029430883,0.046029344,0.0013486248,-0.013864596,-0.014248174,-0.0053944993,0.032722678,-0.0065138494,-0.006095401,-0.019667083,-0.020029739,-0.012232646,-0.019318376,0.029877229,0.014492269,0.0074902293,0.016500821,8.1728234e-05,0.0014950818,0.029737744,0.009770774,-0.018035132,0.003537634,-0.020964274,0.025190603,-0.02383762,0.042123824,0.0013224719,0.02408869,0.019597342,0.005669978,0.025441673,0.001272781,-0.013453121,-0.007657609,-0.01944391,-0.0008220771,-0.032164745,-0.034368575,-0.023935258,-0.025190603,0.014025001,-0.014338838,0.028677676,0.0038845974,-0.0046203695,-0.00398921,-0.013508915,0.005649056,0.008689782,-0.03816251,0.01151431,0.029737744,-0.0004690111,-0.009003619,0.039641026,-0.012407,0.00066428713,-0.0022770576,-0.012957958,0.022652015,-0.0063743666,0.007573919,0.004704059,-0.010021843,-0.0079853935,0.006451082,-0.02132693,0.009129153,0.021870911,0.0046099084,-0.019262582,0.030518848,-0.0020451674,0.013216001,-0.0021550101,-0.012957958,0.005704849,0.010321732,0.02742233,-0.018676754,0.022986775,0.050994933,0.00070918316,-0.029430883,0.019764721,0.02035055,0.009226791,-0.0014654418,0.029821435,0.0060849395,-0.004927232,0.0016659483,0.0025629974,0.0048505166,-0.0066010263,-0.0043169945,-0.013732087,-0.022177774,-0.013906441,-0.09384406,-0.012086189,0.009666162,0.007420488,0.017184287,0.002346799,-0.0047738007,-0.010119481,0.0018603526,0.021494308,-0.02798026,-0.024507137,-0.0029500625,-0.000859999,0.033643264,0.024995327,0.0015482598,0.006506875,0.006088427,0.029598262,-0.010070662,-0.024925586,0.003657938,-0.02326574,0.0128882155,0.007559971,-0.039250474,0.03724192,0.026013553,0.017993288,0.00078720634,-0.036349233,0.042514376,-0.024590828,-0.01717034,-0.028063951,0.0009676623,-0.0052898875,-0.002925653,-0.049265344,0.021089807,0.023935258,0.022986775,-0.02700388,0.027882623,-0.018328046,-0.0009973025,0.02530219,-0.007141522,0.0013285743,-0.014673596,-0.0033859464,-0.020782946,-0.0060291463,0.019890256,-0.0039299293,-0.014059872,0.0050946116,-0.037297715,-0.036237646,-0.016333442,0.006737022,-0.049628,0.018202513,0.010182248,0.019778669,-0.030128296,0.0041914596,0.020127377,0.010544904,-0.0358192,0.045527205,-0.028845055,0.010398447,-0.027715243,0.0144225275,-0.0033057437,-0.0058373576,0.026487794,0.0010295578,-0.014296993,-0.03791144,0.0075251,-0.0073437723,0.006555694,0.009798671,-0.013557734,0.00626278,0.0017766629,-0.03752089,0.024423448,0.03944575,0.003019804,-0.007232186,0.002610073,0.01919284,0.013592605,0.0236005,-0.0125464825,0.014882821,-0.029319296,-0.027450226,-0.072363704,0.017784065,0.019109152,0.017700374,-0.014492269,-0.004644779,0.0045052962,-0.012762682,-0.0125953015,-0.014185406,-0.011012171,0.014136587,-0.024618724,0.0018272254,-0.00927561,-0.027729193,0.025371931,-0.0005047536,0.027519967,-0.003127903,0.0024200275,-0.003166261,0.022219619,0.030323572,-0.02376788,0.0130346725,0.0012039114,0.02669702,0.0029239093,-0.013620501,0.036098164,0.0009850977,-0.00093627867,0.027045727,0.02164774,-0.019764721,-0.028022107,0.0060326336,0.036014475,-0.004867952,-0.018732548,-0.01602658,0.00027438893,-0.008187643,-0.019416014,-0.005328245,-0.009338377,-5.4730677e-05,0.029068228,-0.008410816,0.0148130795,0.011367853,0.003807882,-0.0076506347,0.004700572,-0.026487794,-0.004313507,-0.002587407,0.016556615,-0.00723916,0.004826107,0.023628395,0.019667083,-0.027519967,-0.012874268,-0.022819396,0.007559971,0.0005034459,0.014366734,-0.016221857,-0.019806566,-0.0053456803,0.0029762154,0.0035585563,0.01496651,-0.013404302,0.011577077,-0.008159747,-0.006733535,-0.02286124,0.0011620666,0.0024531547,-0.032527402,0.039110992,0.005579314,0.018021185,-0.008857162,-0.0036474767,-0.00614422,0.0071624448,-0.033308506,-0.001272781,-0.0036056319,0.0023154153,-0.011500361,0.015803408,0.0011629383,-0.023991052,0.011849069,0.011625896,0.0044774,0.004296072,-0.026362259,-0.023502862,-0.016054478,0.0046099084,-0.0035201986,-0.015273373,0.0154547,-0.0008220771,0.0015578491,-0.027952364,-0.01789565,0.016696097,-0.029654056,0.00878742,-0.0017557405,-0.015287321,-0.017965391,0.039417855,0.02018317,0.010600697,-0.0031453385,0.0065208236,0.018314099,0.001828969,0.020517929,-0.004282124,0.0073019275,-0.0057222843,-0.008968747,0.0037764984,0.012309362,-0.027115468,-0.010600697,0.0077831433,-0.031132573,0.016235804,-0.010503059,0.111809455,-0.00732285,-0.012434897,0.00087220373,-0.0069915783,0.0292914,-0.0042716623,0.004100796,-0.009938153,-0.021187445,0.016472925,-0.0005470343,-0.011821172,-0.031355746,-0.005021383,0.011116784,-0.012699914,0.0022282386,-0.0083341,0.0021532667,-0.011653793,0.001314626,0.018579116,0.004348378,-0.015078097,-0.0027460686,0.012706888,-0.016556615,-0.03026778,-0.027380485,-0.019625237,0.017881703,0.0029674978,-0.026878346,-0.00040014143,-0.012727811,-0.02016922,0.0015064148,0.004201921,0.013850648,-0.013857622,0.025288241,-0.010349628,0.008494506,-0.018537272,0.005418909,0.008313178,-0.0129370345,-0.00010564737]', 'plot a line chart of commodity prices monthly relative change for Chad from 2008-01-01 using HDX data as an image', '{"mem_type": "memory", "custom_id": "eac01945-a9f0-47d2-b0a9-826955b3cb2a"}', 'eac01945-a9f0-47d2-b0a9-826955b3cb2a', 'e3a4986e-0753-4972-8bbc-125e4518d7a9'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[0.0038011128,0.0043586562,-0.0043095644,-0.01928609,-0.0029121996,0.019103749,-0.02880991,0.009909544,-0.022371864,-0.023031099,0.008142237,0.005649071,0.010807224,-0.018262174,0.005081008,0.010218121,0.0031260997,-0.023451885,0.0023967351,0.010197082,-0.0185427,0.0104215015,0.027379233,0.0065467507,0.014629375,0.014047286,-0.015484977,-0.029735643,0.00034912207,-0.0011729449,0.029763695,-0.015541081,0.0006859712,-0.011410353,-0.011347234,-0.0060628457,-0.014292745,-0.020716768,0.019552588,-0.028683674,0.017392548,-0.00535452,0.001516588,-0.0005115197,-0.011108788,0.016607078,-0.009930584,-0.0007591706,-0.039385702,0.031110216,0.01580758,0.034813147,-0.0137878,-0.003066488,0.016719287,-0.0046426877,-0.004207874,0.010042793,-0.017785281,-0.022245629,0.014019233,-0.008184316,-0.031138267,0.025317375,0.0052703624,-0.0071218265,-0.0021354961,-0.015933817,0.034167938,0.006325837,0.014019233,0.029118488,-0.009614993,-0.018907381,0.01901959,0.008815496,-0.013177658,0.00031164568,-0.00027219686,0.005480756,0.022329787,-0.041209117,-0.008548998,0.0027070658,0.0043902155,0.010091885,0.0095027825,0.022287708,0.005298415,-0.00015823361,0.03060527,0.009453691,0.014145469,0.004088651,-0.0041342364,0.002496672,-0.007511055,0.031026058,0.02768781,-0.027631706,-0.031138267,0.0083245775,-0.009748242,-0.015863687,-0.027884178,-0.019720905,0.009839413,0.0066519473,0.023353701,0.024097092,-0.015513029,0.0066659735,0.007335727,-0.038291655,-0.014201575,-0.02291889,-0.004299045,0.0012272967,0.0030927872,-0.033691045,0.021937052,0.040620014,0.002745638,-0.0041973544,0.024517879,0.004064105,-0.022596285,-0.046707403,-0.0061014174,0.0025054384,3.873655e-05,-0.010077859,-0.0051581524,0.012490372,-0.0062521994,0.009103035,-0.0014464568,-0.0062136273,-0.016228369,-0.011810101,-0.012118678,0.018907381,0.019748956,-0.0142226145,0.016214343,0.029118488,0.01928609,0.018192044,-0.004688273,-0.016046027,0.009593953,-0.009636032,0.01569537,0.023970857,-0.007637291,0.0005759528,0.010407476,-0.0022810185,-0.010793198,-0.028669648,-0.0048776274,0.0022880316,-0.019047644,-0.003702929,0.01468548,0.02970759,0.010225134,-0.013212725,0.0036117586,-0.0027666774,-0.006799223,0.01037241,0.00087532547,-0.0089347195,0.0030682413,-0.0023932285,0.019580642,0.032428686,-0.016999813,-0.025064902,0.0011378793,0.013030383,0.019889219,-0.0036047453,-0.022624338,-0.013738709,0.01663513,-0.018248148,0.021614447,-0.008520945,0.021586396,2.7367618e-05,-0.015400819,0.0052633495,-0.63062006,-0.018009702,0.0074900156,-0.024840482,0.022764599,0.0003050709,0.01850062,-0.008296525,-0.010631896,0.046454933,0.019131802,0.030885795,-0.0053404937,-0.034953408,-0.0023038113,-0.020885082,0.005168672,-0.0016068819,0.013409092,-0.008871602,-0.026986498,-0.009131087,0.016550971,-0.0022389397,-0.0015902257,0.0174206,0.016046027,-0.022119392,-0.0024055014,-0.0030436956,0.00042604725,0.004930226,-0.00093975855,0.014082352,0.037057348,-0.0182762,-0.008065092,0.012315044,0.017630992,0.01618629,-0.014503139,-0.018865302,0.019580642,0.0045760632,0.018402437,0.037281767,0.0038151392,-0.01932817,-0.01861283,-0.03133464,0.0021249766,-0.00990253,-0.028894069,0.005985701,0.026986498,-0.009418625,-0.010049806,-0.020618584,0.007728462,-0.01663513,-0.0018847769,-0.01300233,-0.03610356,-0.013233763,-0.013977155,0.021937052,-0.0039904676,-0.0018497113,0.010533712,-0.022105366,-0.020997293,0.015092242,-0.008647182,-0.007777554,0.01899154,0.012286992,0.0066589606,5.6214565e-05,-0.01618629,0.014699507,-0.006224147,-0.0033820786,0.005344,-0.006816756,-0.0057121892,0.0070201363,-0.029988116,-0.018318279,0.0005294908,0.01113684,0.027785994,-0.0008534094,0.0061645354,0.013507276,0.012721806,0.004930226,-0.0013561628,-0.005003864,0.017280336,-0.008422761,-0.0010642415,-0.008857575,-0.0045795697,-0.009264337,0.03296168,0.004530478,-0.014531191,0.013570393,0.04286421,-0.0098534385,-0.015302635,-0.01614421,-0.03150295,-0.0022950447,0.0022775119,-0.026663894,0.015372766,-0.0068833805,0.01573745,-0.020604558,0.020646635,0.0101550035,0.028543413,-0.01692968,0.029090436,0.012111665,0.032007895,-0.0013491497,-0.012974278,0.0019215958,-0.008675234,-0.0035889659,0.042247057,-0.023367729,0.034672882,0.014299759,0.0007284882,-0.021937052,-0.01962272,-0.01659305,-0.011501523,-0.011487497,0.011662825,-0.02735118,-0.015975896,-0.030296693,-0.011101775,0.0067851967,-0.023129283,-0.0091942055,0.0067466246,-0.012904147,0.006438047,0.016326552,0.02186692,-0.0026702469,0.019412326,-0.0109895645,-0.0027491446,-0.021053398,-0.009145114,0.018248148,-0.010617869,-0.019075697,0.019903244,-0.0061014174,-0.0040991707,-0.0021635487,0.010267213,-0.0065572704,0.010919434,-0.02366228,-0.02937096,0.02332565,0.009572914,0.015148346,-0.008226394,-0.021586396,0.006206614,0.00591557,0.014966005,0.040788326,0.00267726,-0.0055649136,0.03882465,-0.013598446,0.004004494,0.014096377,0.016536945,0.034925357,-0.006052326,0.018921407,0.012897134,-0.0028631077,0.020169744,0.011908284,0.008338604,0.0119503625,0.0040150136,0.005066982,0.046707403,0.036159664,0.0050143837,-0.017462678,0.019258037,-0.022077313,0.011578667,-0.02366228,-0.0075180684,-0.0050389296,0.030184483,-0.022904862,0.011368274,0.0029735644,-0.011305155,0.038880758,-0.0113822995,-0.021572368,-0.0047268453,0.01084229,0.0052738693,-0.006806236,0.016663183,0.00038418765,-0.005228284,-0.036945134,0.009755255,0.04011507,0.006206614,-0.006978058,-0.015036137,0.02548569,-0.003539874,0.020267928,0.030465007,-0.013914037,0.0009388819,-0.013956116,0.025387507,0.0091100475,0.017532809,0.00792483,0.023550069,-0.004548011,0.025892451,-0.018107885,0.018121911,0.014103391,-0.022049261,0.0095027825,-0.019791035,-0.010800211,-0.01618629,0.018220095,0.0013719423,-0.012883107,0.0011177165,0.02220355,0.025696084,0.021852894,0.012244913,-0.00812821,0.012876094,-0.008668221,-0.009173166,-0.0071884515,-0.009965649,-0.002545764,-0.0087103,-0.002514205,-0.0057682944,0.022119392,-0.020001428,-0.02411112,0.0041587823,-0.024251383,-0.018192044,-0.0048565883,-0.0052949083,0.0033943516,-0.017154101,-0.01014799,0.0107230665,0.023592148,-0.0071954643,0.008570037,-0.003490782,0.03719761,-0.048025873,0.016424736,-0.017069943,-0.009600966,0.005824399,-0.0019689344,0.0040956642,0.0033049344,0.014769638,-0.010716053,-0.01360546,0.0034136376,-0.00514062,-0.004249953,-0.012258939,0.0022827717,0.04196653,-0.0016217848,0.01084229,-0.022049261,-0.023381755,-0.009222258,0.0076302784,-0.0012755119,0.012497386,0.03464483,0.007609239,-0.0069394857,-0.021600422,0.0022985514,0.04825029,-0.00059260894,9.380053e-05,-0.05220569,-0.030072274,0.0116838645,0.039778437,0.0018339318,0.0033189605,0.0062767453,-0.0006408242,-0.011347234,0.010758132,-0.021235738,0.01850062,-0.008605103,-0.01302337,-0.016466815,0.025289323,0.005592966,0.024012936,0.009692137,-0.0077705407,-0.0149099,-0.0013982415,0.004544504,0.0005066982,-0.013689617,0.0016603569,0.02063261,0.013072462,0.018192044,0.019903244,0.026579738,0.029735643,-0.01014799,-0.0025299843,0.024251383,-0.006052326,0.013598446,-0.0021354961,0.019748956,0.01446106,0.0009108294,0.005168672,0.012890121,0.008990824,-0.0062662256,0.0008845302,-0.027631706,0.024826456,-0.0027386248,-0.0004405118,0.024966719,-0.018374383,-0.0020250394,0.020001428,-0.015456924,-0.022413943,-0.0053825723,-0.01104567,0.0050634756,0.0032874015,-0.010631896,0.007546121,-0.060032334,-0.035261985,-0.0068342886,0.0099375965,-0.02780002,-0.033410523,-0.0044287876,-0.028122624,-0.018360358,-0.025092956,-0.013661564,-0.002247706,-0.027771968,-0.015232503,0.030100325,0.029960062,-0.0027298585,0.009201218,0.004418268,0.0025369974,-0.020211823,-0.0004422651,-0.013745721,0.00445684,-0.01547095,-0.010716053,0.00044401837,-0.0020004935,-0.014187548,-0.021614447,-0.010919434,-0.0013228505,-0.026860261,0.0058945306,0.011368274,0.01726631,0.010274226,0.0354303,0.006999097,0.0009958636,-0.006865848,0.013633512,-0.020169744,-0.026341291,0.0043025515,0.0043270974,0.012483359,-0.0037099423,-0.0016875328,-0.027519496,-0.015905764,0.04522062,-0.025920503,0.0064660995,-0.008212368,0.0027789504,0.015933817,-0.0030366825,-0.01962272,-0.01082125,-0.021979129,-0.016158236,-0.004432294,0.019145828,0.0074900156,-0.044350993,0.00092573225,-0.019384274,-0.013079475,-0.035738878,-0.006374929,-0.024391642,0.022568231,0.0023458898,0.0013105775,-0.0112911295,0.0014184043,-0.019033618,0.025443612,-0.022582259,-0.016536945,-0.0041272235,-0.016845522,0.0032944146,-0.022119392,0.010491633,-0.018248148,-0.0094116125,0.015513029,0.00668,-0.0032611024,-0.0029490185,-0.01513432,0.00022704987,-0.0027473911,-0.042443424,-0.01951051,-0.021656526,0.0049723047,0.019608693,0.02735118,0.043986313,0.013184671,0.01070904,0.0238867,0.0054281577,0.010891381,0.009011864,-0.016017975,0.0032821416,-0.00904693,0.0031331128,0.016775392,-0.02291889,-0.024461774,0.005193218,-0.0025720631,0.010126951,-0.027884178,-0.008086132,-0.026285186,-0.025387507,-0.024139171,-0.00524231,0.001082651,-0.036945134,-0.003091034,0.025780242,0.004299045,-0.0005886641,-0.012904147,0.02168458,0.0052458164,0.023241492,0.0026632338,-0.013044409,-0.03641214,0.009488757,-0.0298198,0.005480756,0.0061890814,0.016032001,0.01205556,0.0054702363,0.012020494,-0.010021754,0.016466815,0.0021197167,-0.0037555275,-0.01569537,-0.023465913,0.009537849,-0.026369343,-0.030184483,-0.011894258,-0.0028315487,-0.00848588,-0.018668935,0.011431391,-0.02914654,0.0021249766,0.01279895,-0.0016165249,0.020758847,0.0056946566,0.02526127,-0.0077074226,0.009874478,-0.0063924617,-0.009881492,-0.017448653,0.0062767453,0.03882465,0.024391642,-0.029847853,-0.03461678,0.012041533,0.011999454,0.027056629,-0.046454933,0.023143308,0.010982552,0.0002224475,-0.018458541,0.0052212705,-0.028599517,0.0054386775,0.004775937,0.009944609,0.00546673,-0.014503139,-0.020281954,0.0036187717,-0.04148964,0.0018023726,-0.0022827717,-0.0017874698,0.017897492,-0.022582259,-0.002689533,0.029455118,-0.03251284,-0.0014070079,0.019201932,-0.0046532075,-0.0007828399,0.0066344147,-0.008478867,0.013801826,0.0024037482,0.038263604,-0.026397396,-0.042808108,0.015288609,0.013184671,0.016284473,-0.013219737,-0.0046847668,0.0056069926,-0.016298499,-0.00097219425,0.030998005,-0.031755425,-0.014159496,-0.03304584,-0.014173523,-0.01805178,-0.03169932,0.008955759,-0.0077074226,-0.0072585824,-0.00846484,0.035233933,0.023465913,0.008619129,0.014755611,-0.01984714,0.01502211,0.013345974,-0.001965428,0.008289512,0.017855413,0.011585681,-0.016158236,-0.0077004093,-0.0253314,0.0015148347,0.024644114,-0.018234123,-0.024251383,0.0054001054,0.014503139,0.03217621,0.00053869555,0.006676493,0.002696546,0.033634942,0.010253187,-0.014089365,0.00803704,0.04530478,-0.01816399,0.013619485,0.032989733,-0.024910614,0.04339721,-0.025962582,0.011459445,0.016326552,-0.014629375,-0.021221712,0.0041167038,0.021123528,-0.04965291,0.00018475197,-0.0012150237,0.00040785695,-5.43791e-05,0.0079739215,0.01805178,0.0042780056,-0.010049806,0.013184671,-0.0021249766,-0.00040106298,0.006059339,-0.0001192231,-0.01685955,-0.0043165777,-0.026285186,0.022624338,-0.021656526,0.025106981,0.022582259,-0.033634942,-0.030296693,-0.027407285,-0.0185427,0.0023493965,-0.014229627,0.032849472,0.0081913285,0.004320084,-0.0027508978,-0.0008902283,0.0042780056,0.013184671,-0.023704357,-0.015008084,0.007181438,-0.038263604,-0.011585681,-0.0024230343,-0.03228842,0.004649701,0.022932915,0.005042436,0.022680443,0.012518425,-0.014937953,-0.009636032,0.004442814,-0.008864588,-0.04182627,-0.0064205145,0.02739326,-0.047857556,0.016452787,0.013914037,-0.008605103,0.011052683,-0.007160399,-0.018556725,0.013395065,-0.006325837,-0.0048074964,-0.006767664,-0.00990253,-0.004961785,0.014117417,9.9827426e-05,-0.012385176,0.042780057,0.014299759,0.006287265,-0.006283758,0.012469333,-0.039525967,-0.0108983945,9.9498684e-05,-0.0077074226,0.0040746247,-0.014601323,-0.034364305,-0.01302337,-0.018402437,-0.012567516,-0.02429346,-0.015162373,0.010197082,-0.011305155,-0.01584966,0.0024633596,0.012897134,-0.019384274,-0.008829523,-0.00501789,-0.0109895645,-0.030773586,0.0012886615,-0.007405858,-0.018682962,-0.00846484,0.011192946,-0.0021933545,0.00029082547,0.030661374,0.21544315,0.00046111285,0.014587296,0.04126522,-0.013963128,0.036496297,0.014433008,0.013009343,0.013745721,-0.015064189,-0.0069394857,0.010533712,0.00029805777,0.0047303517,-0.0022143938,-0.02384462,-0.014699507,-0.026846236,-0.017911518,0.03217621,-0.0024510866,-0.011185932,-0.008492893,-0.0076302784,0.022960966,0.0087103,-0.007826646,0.02350799,0.009187192,0.0112911295,-0.009222258,0.008030027,-0.00072498166,-0.008317565,-0.009636032,-0.015569134,-0.004818016,-0.020997293,0.0018462047,-0.01524653,-0.02880991,0.010512672,0.007433911,-0.014145469,0.009944609,0.00445684,-0.0016024987,0.013289869,0.006487139,0.0066694804,-0.0238867,-0.03461678,0.016705262,0.0309419,-0.012981291,0.017602941,0.018416462,0.02134795,-0.021361975,0.020983266,0.011122814,0.030016167,-0.00015911025,-0.012805963,-0.010610856,0.01704189,-0.02485451,-0.0064660995,0.000368189,-0.02892212,0.04653909,-0.005116074,-0.013500262,0.0050704884,-0.031755425,-0.021740684,0.04294837,0.021979129,0.022301733,0.038207497,0.007749501,-0.0091942055,0.010884368,0.009797334,-0.0016884095,-0.0102461735,0.0062101204,0.011866205,-0.04350942,0.008443801,0.014362876,-0.009614993,-0.016649155,-0.010554751,0.0011966142,0.003930856,0.0019689344,-0.0037204619,-0.0034504565,-0.0059436224,-0.014783664,0.073553644,0.019889219,-0.0030735012,-0.022820706,-0.009173166,0.0071253334,-0.002247706,0.0018251654,-0.015891738,-0.0036924095,-0.05287895,-0.00013719423,-0.006399475,0.02175471,0.01901959,-0.014559244,-0.022456022,0.0033803254,0.01106671,-0.0038537113,-0.043144736,-0.004635675,0.009060956,-0.020001428,-0.0040956642,-0.02291889,-0.01607408,-0.0061645354,-0.007777554,0.0037344883,-0.000678958,0.012111665,-0.008548998,-0.0035503937,0.007321701,-0.021979129,0.0054071182,-0.010807224,0.023479939,0.005571927,0.00927135,0.0108142365,-0.010568777,0.022708494,0.0008547244,0.0030998006,-0.0035574068,-0.02294694,-0.025836347,-0.019145828,-0.010176042,0.0034802624,-0.0052878954,0.053187527,-0.006725585,0.003315454,-0.014103391,0.015162373,0.026509605,-0.0070341625,0.029511223,0.015400819,0.017939571,-0.022526154,0.014811716,-0.18166795,0.023676306,0.05481457,-0.020828977,0.018696988,-0.00211621,0.017462678,-0.007447937,0.00047119422,-0.01171893,0.017182153,0.024980744,-0.035794985,-0.0018549712,-0.005431664,0.003695916,-0.019244011,0.03686098,0.02615895,0.0043411236,-0.00047163255,-0.014839769,0.016508894,-0.008001974,0.011143854,0.02294694,-0.024966719,0.0046672337,0.0054386775,-0.0298198,-0.026874289,0.0007227901,0.031418793,-0.005617512,-0.0033364934,0.0024282942,-0.011810101,-0.01899154,-0.012385176,0.013942089,0.0044533336,0.00846484,0.002109197,0.0029753176,0.025892451,0.012953239,-0.012897134,-0.0047022994,0.022301733,-0.00013576969,0.01457327,-0.014201575,0.015569134,0.005571927,-0.0038431915,0.008843549,-0.0037450078,0.016438762,-0.0047724308,0.01625642,-0.016228369,-3.4435532e-05,0.004092158,-0.014362876,-0.01183114,-0.02521919,-0.005859465,0.012932199,-0.027407285,0.026074791,7.522671e-05,0.000312084,-0.019650772,-0.025415558,0.014699507,0.0074409237,-0.0060453126,0.025780242,0.027309101,0.014075339,-0.017392548,0.012876094,-0.033438575,0.003864231,-0.024083067,0.016424736,-0.022820706,0.023423834,-0.00063337275,-0.020506375,-0.0059260894,-0.03217621,0.026804157,-0.007798593,0.021376,0.029174592,-0.014895874,-0.003091034,0.0040150136,-0.015344714,0.016901629,0.027098708,-0.018402437,0.02593453,0.016368631,0.013310908,-0.033017788,0.0075531336,0.026229082,-0.007398845,-0.011655811,0.005024903,0.01641071,0.0044147614,-0.016705262,0.035065617,0.0030735012,-0.020885082,-0.00018332744,0.013794813,0.045388937,0.0091521265,-0.011515549,-0.008527959,0.009713177,-0.011564641,-0.08230602,0.0055368613,-0.0007061339,0.0102882525,0.008268473,-0.0018006194,0.0053124414,0.01843049,-0.018121911,0.036580455,0.008983811,-0.039834544,0.0051476327,0.0075881993,0.05127996,-0.0012185302,-0.0015209711,-0.019524537,0.024279434,0.03610356,-0.022371864,-0.01070904,0.009439665,-0.01573745,0.016550971,-0.0013254804,-0.014545218,0.009376546,0.0039238427,0.0095027825,-0.002752651,-0.039862595,0.009166153,0.0028297955,-0.007356766,-0.0006636168,-0.038880758,-0.0032225302,0.015386793,-0.014166509,-0.006132976,-0.017855413,0.021670552,-0.020366112,-0.007447937,-0.035233933,0.01115788,0.013233763,0.016032001,-0.029623432,-0.04193848,-0.008254447,-0.004625155,-0.004761911,0.009600966,0.00278421,0.026130898,0.007959896,-0.018318279,0.0070376694,0.002596609,-0.00155516,-0.02261031,0.031306583,0.053496104,0.0253314,-0.03980649,-0.00073024153,0.020141691,-0.00031778216,-0.022119392,0.019650772,-0.031559058,0.0080580795,-0.035682775,0.0061610285,-0.0023774488,-0.0072655957,0.00904693,0.0042850184,-0.016691234,-0.019033618,0.0089767985,0.0035503937,-0.00011051148,0.009299402,-0.0066098687,-0.013065449,0.008100158,-0.0036889028,0.029174592,0.015793554,0.012644662,0.00088628347,0.0062031075,0.010477607,-0.021993157,0.0043411236,-0.017869439,0.006967538,-0.034252096,-0.011529575,-0.09161945,0.028781857,0.011838153,-0.018416462,-0.0018742572,-0.023634227,-0.0069464985,-0.02291889,0.0016586037,0.001326357,-0.010379423,0.014867822,-0.028417176,0.0043411236,-0.024503853,0.00679221,0.016621104,0.015975896,0.025654005,0.0056701107,-0.0050073704,-0.005116074,0.019496484,-0.009222258,-0.010779171,-0.007104294,0.0002989344,0.00027285435,-0.019005565,-0.0016515906,0.029455118,-0.010204095,-0.019580642,0.011235024,-0.0067220787,-0.030184483,-0.008920694,0.025780242,0.043228894,0.01183114,0.0029928505,-0.03450457,0.0030612282,-0.030689428,-0.024026962,-0.0076302784,0.010028767,0.0047513912,-0.0045795697,-0.006974551,0.029875906,0.028333018,-0.008023013,-0.012455307,-0.012209848,-0.021614447,-0.0014596063,0.016663183,0.013689617,-0.015386793,0.037029292,0.03719761,0.023830594,0.012322057,-0.0024616064,0.008065092,-0.002247706,0.00902589,0.0047548977,-0.051616587,-0.01093346,-0.015709396,-0.007384819,0.028094571,-0.003927349,-0.034588728,0.0069885775,0.033410523,-0.009004851,-0.0081492495,0.0013272336,-0.0026562207,-0.040451698,0.030016167,0.016046027,-0.006711559,-0.01580758,0.022512127,-0.020352084,-0.00021324278,-0.02377449,0.006294278,0.010968526,-0.022974994,-0.021263791,0.0016840262,0.0020618583,0.008920694,0.029763695,0.0142226145,-0.00859809,-0.00096605776,-0.014418981,-0.009600966,-0.016298499,0.001326357,0.0057332288,-0.013338961,-0.0053264676,-0.0033312335,0.0009941102,0.008478867,-0.006350383,0.004512945,-0.01369663,0.0065958425,0.0029279792,-0.0007552258,-0.017140074,0.03641214,0.012048546,0.02772989,-0.019468432,-0.01147347,0.013037396,0.021965103,0.027912231,-0.030885795,0.0028806406,0.011003591,-0.007391832,0.0060803783,-0.01502211,-0.017616967,-0.012834015,-0.0002428294,-0.006687013,0.0014578531,0.0073778057,0.12073793,-0.0019321155,-0.020702742,0.006574803,0.014040273,0.01805178,0.0095869405,0.007945869,-0.007945869,-0.040507805,0.009355507,-0.014545218,-0.02287681,-0.03632798,-0.003483769,-0.0002763609,-0.02242797,0.004113197,0.002759664,0.0062031075,0.017322415,-0.01268674,0.011389313,0.011122814,-0.024517879,0.0077074226,0.017224232,0.0024282942,-0.018388411,-0.021361975,0.006206614,-0.0033803254,-0.03374715,-0.0052878954,-0.0054281577,-0.014839769,0.0052843885,-0.02440567,0.04014312,0.013030383,-0.003084021,-0.0009590446,0.001270252,-0.015204451,0.012251927,-0.0029928505,-0.0010098898,-0.022021208,-0.00031559056]', 'List organizations in the top 3 states by population in IPC Phase 3+ in Chad, using HAPI data', '{"mem_type": "memory", "custom_id": "038c84df-9cc4-432c-a9b9-0e0b784c5af0"}', '038c84df-9cc4-432c-a9b9-0e0b784c5af0', '7b4d7e2a-1a61-4911-b168-f746e58c2750'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.014580516,-0.017555559,-0.01720473,-0.013254376,0.0046028965,0.014917313,-0.01716263,0.0010945912,-0.006627188,-0.0288523,-0.0011437075,0.017218763,0.011647573,-0.006083401,-0.0065956134,-0.0019611428,-0.00012103652,-0.014110403,0.00075735536,-0.024221338,-0.022607518,0.0075218063,0.010426682,-0.016671468,-0.0082796,0.008630431,0.008770763,-0.01921148,-0.003345169,-0.009549607,0.024123106,-0.019983305,0.010237234,-0.023547743,-0.006244783,-0.010153035,0.0040345513,-0.0037398532,0.027996274,-0.003541634,0.00440994,-0.008391866,0.012012436,0.015492675,-0.008230484,0.03149055,0.014833114,-0.005841328,-0.01712053,0.03996661,0.008419933,0.021849724,-0.031911545,-0.0046695545,0.009437341,0.0069499523,0.0071429093,-0.010181101,-0.004546764,-0.03421299,0.0100056855,0.0016892488,-0.034970786,-0.0009437341,-0.01082663,-0.032079943,-0.016713567,0.004129275,0.02523173,0.009668889,0.037103835,0.031237949,-0.0055571552,-0.0012165048,0.03923689,0.009865355,-0.0053677065,-0.0025786043,0.006781554,-0.0055817133,0.033651665,-0.036009245,-0.021821657,0.0023856475,0.016152238,-0.0030960792,0.012791281,0.02523173,-0.012187852,0.0030434546,0.019492144,0.02388454,0.022635585,0.0059641185,0.008419933,-0.0015278668,0.006739454,0.0086093815,0.040163074,-0.04389591,-0.016503068,-0.004732704,-0.01811689,0.00018879067,-0.011058178,-0.010223201,0.00022803983,0.007760371,0.013598191,-0.02597549,-0.040078875,0.036710907,-0.008244517,-0.029610096,-0.011345859,-0.01331051,0.040780537,-0.012959679,-0.004652013,-0.017597659,0.016264504,0.02208829,-0.0060798926,-0.013556091,0.022832049,0.015015546,-0.013219293,-0.023463544,-0.010777513,-0.020628834,-0.0081392685,0.009781155,0.0134999575,-0.024066973,-0.017667826,0.037973896,-0.018509818,0.01724683,-0.0124755325,-0.029217165,0.0046660462,0.020362202,0.024052938,-0.018397553,-0.01952021,0.01194227,-0.0008512025,0.023028513,-0.0036977537,-0.007879654,0.017836224,-0.008532198,0.0023470563,-0.025610628,-0.016306603,0.015141845,-0.020446401,0.008412916,-0.017345062,-0.009851322,-0.024431836,-0.0056413542,0.0057115206,0.016699534,0.02148486,0.05054766,-0.016320636,-0.0028592686,-0.012096636,-0.0058869356,0.0012682523,0.039938543,-0.0036486373,-0.011142377,0.015127812,0.017345062,-0.016025938,0.0166013,-0.024782667,-0.016278537,-0.018243188,0.024052938,0.011023094,-0.0017278403,-0.010096902,-0.02932943,0.021737458,-0.015843507,-0.005623813,-0.009795188,0.012279067,-0.0004161727,0.0023733685,0.020670934,-0.63317895,-0.018958881,-0.02554046,-0.0204885,0.014734881,0.0013331559,0.019421978,-0.008897062,-0.02972236,0.006869261,0.008742697,0.023393378,-0.02096563,-0.029273298,0.011815972,-0.02353371,-0.041818995,-0.015015546,0.029750427,0.016741633,-0.005083534,0.011479174,0.012721114,0.006806112,0.0052378993,0.008146285,0.0247967,-0.016713567,0.011163427,0.0012147507,-0.0069499523,0.015492675,0.007718271,0.00082050485,0.043783646,-0.012629898,-0.014236702,0.012363267,0.029890759,0.038703624,-0.02440377,-0.011514257,0.035391785,0.011780888,-0.02641052,0.037665166,0.009809222,-0.016460968,-0.0009796943,-0.040415674,-0.0022137407,-0.015169911,-0.030031092,0.0028627769,0.024670402,0.0014156011,0.0019278136,-0.014299852,0.014622616,0.0127772475,-0.0039363187,0.015604941,-0.016952131,-0.018201089,0.004013501,0.02850147,-0.011423041,0.014334935,0.008286617,-0.016278537,0.008763746,0.0031223914,-0.0008112955,-0.012601832,0.008440983,0.025526427,0.0009533819,-0.04785328,-0.010335467,0.0020313088,0.017583625,-0.009682923,-0.0021348037,-0.0019786842,0.0115844235,-0.006542989,-0.026326321,-0.0016655679,0.010784529,0.018874682,-0.0006069368,0.022004088,7.0330556e-05,-0.0017383652,-0.0014208636,0.015773341,-0.018088821,0.01486118,0.014026204,-0.022256687,-0.008798829,0.002945222,-0.014398084,-0.011731772,0.021961989,0.023786308,-0.048246212,0.005097567,0.034044594,-0.04493437,-0.014201619,0.004585355,-0.031995744,-0.013177194,0.02545626,-0.024586203,0.012798297,0.0086093815,0.008539215,0.007374457,0.027336713,-0.008749713,0.041398,-0.017527493,0.010195134,0.013071945,-0.001127043,-0.009928503,-0.027603345,-0.0055466304,0.008784796,0.015927706,0.0067920787,-0.020727066,0.017401194,0.008539215,0.007998936,0.0012621128,-0.013787639,-0.0017541526,-0.00061395345,0.004550272,0.0036205708,-0.02392664,-0.008349767,-0.01538041,-0.013738522,0.0027364779,-0.0018243187,0.0022242656,-0.024431836,-0.02161116,-0.018355453,0.02932943,0.03126602,-0.007360424,-0.0066622715,-0.021260329,-0.006992052,-0.01585754,0.0020558669,0.013050895,-0.013317526,1.4581393e-05,-0.001964651,0.015534775,0.0051396666,0.02100773,0.009346126,-0.028768102,0.018692251,-0.0054940055,-0.030087225,0.034830455,0.0072621917,0.04563603,-0.04389591,-0.01322631,-2.6778234e-05,-0.0045292224,0.006578072,0.0060693678,-0.017611692,-0.0207411,-0.006350032,-0.0028241856,0.00091479055,0.02187779,0.008925129,0.010777513,-0.012510615,0.007872637,0.01916938,0.004687096,-0.0045783385,0.03289387,-0.015661076,0.00018966774,0.0023645977,0.031658947,0.037047703,0.012019453,-0.0010428438,0.022242654,0.029217165,-0.031518616,-0.00087883044,-0.027898042,0.018018655,0.026747318,0.02531593,-0.024291504,0.0014094615,-0.010665247,-0.014454217,-0.00075867097,-0.0008187507,-0.008469049,-0.012756197,-0.010272317,0.0018225645,-0.010510881,0.014124436,0.0016296078,0.010047786,-0.024810733,0.009275959,0.018130923,0.0114160245,-0.015310244,0.0015594416,0.014299852,-0.017709926,0.015099745,0.015745275,0.009289992,0.003175016,-0.003771428,0.01082663,0.0043152156,0.006869261,0.0030750295,0.020516567,-0.03620571,-0.011865088,-0.0057009957,0.011191493,-0.0029487305,-0.014636649,0.021849724,-0.0019488635,0.008076119,-0.0098022055,0.023730176,0.01929568,-0.0023295148,-0.0016085579,0.002980305,0.03741257,0.0289365,0.030648554,0.0037398532,0.004308199,-0.008153302,-0.007276225,-0.018846616,-0.025049297,-0.01799059,-0.021695359,-0.005164225,-0.00086392014,-0.016587267,0.012215918,-0.0046274546,-0.0018085312,-0.016236437,0.024852833,0.009023361,0.0017962522,0.0061430424,-0.0071709757,-0.02140066,0.019744743,-0.00018484383,0.0022084783,-0.03432526,-0.0410612,0.029301364,-0.015745275,-0.01799059,0.018229155,-0.0047397204,0.017359095,-0.01768186,0.0038380858,0.00513265,0.017723959,-0.0064552813,-0.003427614,0.023435477,-0.01198437,-0.014973446,0.002287415,-0.03250094,0.04271712,-0.011710722,0.0004714285,-0.010075852,-0.0056413542,-0.01916938,-0.006911361,-0.01028635,-0.0076761716,0.008770763,-0.010819613,0.015506709,-0.0053431485,0.00459588,0.037047703,0.016783733,0.009556624,-0.042941652,-0.022775916,0.0084059,0.071737826,0.0166855,0.008623415,0.008202418,-0.0018909764,-0.0029189098,-0.030339822,-0.03516725,-0.0021944449,0.009381209,-0.0017541526,-0.018158989,0.029189099,-0.0071779923,0.027729644,0.0016664449,-0.021021763,-0.0075849555,0.012131719,-0.0019593886,-0.0076761716,-0.02231282,0.0116686225,0.013450841,0.018664185,0.0025821126,0.026228089,0.053803366,-0.00921281,-0.024431836,-0.009395242,0.039405286,-0.011401991,0.022340886,0.006960477,0.03376393,0.011542324,0.008321701,0.02554046,-0.0035925044,0.023716142,0.021190163,-0.004918644,-0.0062167165,0.015212011,0.016025938,-0.011928237,0.013528025,-0.017752025,0.017752025,0.011401991,-0.01608207,-0.017260863,-0.020235904,-0.028613737,0.016573234,0.0016743386,-0.0022593485,-0.007374457,-0.005083534,-0.024965098,0.013338576,0.022523317,-0.033174533,-0.012622882,5.5091354e-05,-0.019744743,-0.017134564,-0.008876013,-0.0020470961,-0.015717208,-0.020460434,-0.01274918,0.009816239,0.004925661,0.009184743,0.017092463,0.00093584036,0.028824234,-0.0414822,-0.020460434,-0.0060658595,-0.0053220987,-0.0051957997,-0.025035264,0.0075218063,-0.0090794945,0.0032136075,-0.023028513,0.015661076,-0.00960574,-0.0062272414,0.016545167,-0.012229951,0.0064482647,0.015997872,0.005350165,0.010174084,-0.0010559999,-0.010019719,0.019786842,-0.01829932,-0.028178707,0.005897461,0.016503068,-0.007213075,-0.0059886766,0.000402578,-0.012461499,0.0071920254,0.01594174,-0.025512394,-0.00699556,0.0017445047,0.015408476,-0.0013454349,-0.0015927705,0.0034346306,0.008419933,-0.020418335,-0.015478642,0.020755133,0.006921886,-0.0002539136,-0.010966961,0.00964784,-0.017752025,-0.029076833,-0.022060221,-0.02117613,-0.024024872,0.032529008,0.011023094,-0.0012033487,-0.025077365,-0.0049607437,-0.012657965,0.004195933,-0.010496848,-0.007921753,-0.017064396,0.0016655679,0.009661873,-0.020699,-0.006314949,-0.029638162,-0.024558134,0.023126747,0.0068832943,-0.0030311756,-0.0009139135,-0.00581677,-0.00080077065,-0.02187779,-0.007914737,-0.040387608,-0.03331487,0.015450575,0.017331028,0.052063245,0.015885606,0.016025938,0.023645977,0.0014866443,-0.0059290356,-0.008826897,0.0013849034,-0.01361924,-0.008539215,0.014040237,0.01328946,0.020586733,-0.007921753,-0.012510615,0.026522785,0.0067640124,-0.020769166,-0.023912607,0.004550272,-0.02767351,0.0047853286,0.0072621917,-0.0100548025,-0.011745805,-0.030227557,0.010623148,0.034100726,-0.026480686,0.015983839,-0.0023505646,-0.009619773,-0.0061465506,0.033399068,-0.0012472024,-0.014734881,-0.00643774,-0.006199175,-0.017176664,0.009184743,0.018046722,0.016138205,-0.0004806378,0.025259797,-0.010559998,0.013422775,0.02932943,0.0129456455,0.026915716,0.01834142,-0.024066973,0.0049081193,-0.015492675,-0.014180569,-0.014819081,0.0059781517,-0.0045923716,-0.018481752,0.025764992,-0.015310244,-0.025161564,0.0051361583,-0.019828942,0.03185541,-0.012159785,0.03541985,0.01399112,0.007704238,-0.01163354,0.030704686,-0.019281646,-0.0021751493,0.02140066,0.015689142,-0.03250094,-0.03463399,0.008440983,0.02601759,0.02618599,-0.039770145,0.014706815,0.016952131,-0.00053677073,-0.015590908,0.007276225,-0.03979821,-0.0045643053,-0.015871573,0.0022575944,0.012868463,-0.00080822577,-0.00013802989,-0.0090303775,-0.06079191,0.031378284,-0.012959679,-0.010854696,-0.0034907635,-0.011065194,-0.03842296,0.016867932,-0.005073009,0.008076119,0.026087757,0.014496316,0.03536372,0.010468782,0.007893687,-0.011303759,0.014370018,0.02610179,0.0017313486,-0.013528025,0.0043467903,0.015661076,-0.001759415,-0.0019506176,-0.01589964,-0.008370817,-0.022523317,-0.015057646,0.013598191,-0.025652727,-0.011542324,-0.02562466,-0.0010998537,-0.007851588,0.013198243,0.0027119198,-0.0042731157,-0.016545167,-0.002115508,0.018762417,0.0045011556,0.02165326,0.018004622,-0.017737992,0.0032381655,0.03912462,-0.0064552813,-0.010103919,0.024670402,0.00743059,-0.045664098,-0.006655255,-0.03126602,-0.004929169,0.018874682,-0.013373659,-0.018369487,-0.01834142,-0.0008463786,0.037440635,-0.006528956,0.010763479,-0.011815972,-0.005897461,0.00078366767,-0.024277471,-0.010440716,0.015703175,-0.018790483,-0.0009551361,0.012293101,-0.030452088,0.022172488,-0.027098149,0.002531242,0.020278003,-0.019913139,-0.0335394,0.004318724,0.02322498,-0.036738973,-0.0023751226,-0.028389204,-0.0031223914,-0.029834626,0.0207411,-0.0016146974,0.0017690628,0.03890009,0.0027926108,-0.0015796144,0.005644863,-0.0062974077,-0.028333072,-0.021540992,0.0038345775,0.0019032555,0.00012772424,0.003106604,0.025961457,0.010770496,-0.032641273,-0.025049297,-0.013275427,-0.044429176,-0.014278802,-0.005764145,0.01244045,0.018986948,0.017359095,-0.0031908033,0.023365311,-0.005855361,0.009598724,0.0067499788,-0.0112827085,0.012412383,-0.020755133,0.010202151,-0.01811689,-0.026915716,-0.025343996,0.010559998,0.0069990684,0.022607518,0.03707577,-0.0074937395,-0.0048204116,-0.0072832415,-0.002701395,-0.00581677,0.0108617125,-0.01196332,-0.043250386,0.008707614,0.011430058,0.013878855,-0.012629898,-0.0067254207,-0.017976556,-0.014580516,-0.019393912,-0.011479174,0.0059290356,-0.013626257,-0.00062097,0.019309713,0.0045888633,-0.009437341,0.04367138,0.0015068171,0.0041082255,-0.013513991,0.018481752,-0.0030522253,-0.02144276,0.001564704,-0.01486118,0.0041327835,-0.020348169,0.02022187,-0.035475984,0.035868913,-0.015015546,-0.017934456,-0.03193961,0.018551918,0.006946444,-0.002089196,-0.012980728,0.005150192,-0.02357581,-0.019281646,-0.0004670431,-0.0037433614,-0.009956569,0.00065517594,0.0011305513,-0.023814375,-0.008055069,0.028557604,0.005258949,-0.019099213,0.052343912,0.20084345,0.0063675735,0.015590908,0.005637846,-0.009732039,0.0036977537,0.012370284,-0.011240609,0.011640556,0.0011130099,-0.02958203,0.020095572,-0.01842562,0.0011787906,-0.0003501727,-0.015703175,-0.035756648,-0.018846616,-0.033904262,-0.012657965,0.008118219,0.0124755325,-0.025091399,-0.03210801,0.022467185,-0.0047818203,-0.012152769,-0.006935919,0.040724404,0.027463011,-0.006037793,-0.025077365,-0.0129456455,0.0019488635,-0.008237501,-0.0054554143,0.011310776,0.021639226,0.015576875,-0.008623415,-0.0032732487,-0.005023893,-0.0027522652,0.0010182856,0.042127725,0.018187055,0.018902749,-0.02096563,0.01637677,0.0017374881,-0.020909498,-0.014236702,0.018636119,0.0289365,-0.013675373,-0.0020102588,0.01829932,0.012166802,0.009086511,0.023309179,-0.019421978,0.04052794,-0.009739055,0.014292835,-0.011577407,-0.00792877,-0.019969271,0.006844703,0.014215652,-0.004448531,0.004652013,0.0041327835,-0.012026469,0.006655255,-0.0336236,-0.015927706,0.04336265,0.01699423,0.0030890626,0.020684967,0.0012191361,-0.009184743,-0.023547743,0.008019986,-0.011780888,-0.03676704,0.0025066838,0.026663119,-0.020853365,-0.010124968,0.004873036,-0.009879388,-0.004799362,0.009009328,-0.01956231,0.002945222,0.011900171,0.022116356,-0.03171508,0.001299827,-0.0028241856,0.0495092,0.0056062713,0.0057887034,-0.009142644,-0.0017760794,-0.0010033753,0.01856595,0.013563108,-0.027084116,0.019365845,-0.05032313,-0.016039971,-0.00641669,0.0049081193,0.00046748164,-0.007339374,-0.026691185,-0.013100011,0.010735413,-0.00039183383,-0.029273298,-0.0018909764,0.0053887563,-0.03929302,-0.002045342,-0.0006222856,-0.0014173553,-0.013577141,-0.03266934,0.0166855,-0.0291049,-0.009795188,-0.012258017,0.015001512,0.015871573,-0.024866866,-0.0058939527,0.0038872021,0.018088821,-0.017457327,-0.007185009,0.015520742,0.010468782,-0.01204752,0.0022453154,0.017667826,0.008791813,-0.0064447564,-0.030816952,-0.022677684,0.004192425,0.03115375,-0.030311756,0.03494272,-0.008918112,-0.008686564,-0.025526427,0.031827345,-0.008581315,-0.017976556,0.02958203,0.031237949,-0.00050826574,0.0037749363,0.0118019385,-0.18130921,0.00014471759,0.022691717,-0.010082869,0.015043613,-0.03149055,0.032697406,0.006223733,-0.0207411,-0.0005139667,0.0026014082,0.009297009,-0.034184925,0.010714363,-0.014482283,0.0005920265,0.02005347,0.021470826,0.016278537,0.0097530885,0.03685124,0.0018699266,0.026284222,0.00037122253,0.020095572,-0.0034065642,-0.016138205,0.042997785,0.0031241456,-0.010959945,0.009072478,0.0025733416,0.029273298,-0.007998936,-0.032472875,-0.023674043,-0.020207837,-0.01877645,-0.015913673,0.0072411415,0.014061287,0.008153302,-0.0025821126,0.005374723,0.005679946,0.00664473,0.021035796,-0.010188118,-0.004883561,-0.016825832,-0.006627188,-0.015787374,0.015829474,0.0029504846,0.005209833,0.009549607,0.007669155,0.0122229345,0.004318724,-0.0013542058,-0.010174084,-0.02361791,0.0081392685,-0.013794656,-0.016460968,-0.016839866,-0.033146467,0.017316995,0.0041819,0.0120054195,-0.028010307,0.015127812,-0.017387161,-0.021035796,0.0061009424,-0.00097092346,-0.030059159,0.014482283,0.036710907,-0.00044116937,-0.009619773,0.049845997,-0.005315082,-0.012580782,0.0058272947,-0.0036486373,-0.004736212,0.005220358,-0.017092463,-0.010363533,0.016489035,-0.0065815803,0.0034328764,-0.019857006,0.010096902,0.020446401,0.005037926,0.0014050761,0.018509818,0.0053431485,0.014496316,0.013100011,-0.022832049,0.012643931,0.014257751,0.025119465,-0.01285443,0.016503068,0.034886587,0.014762948,-0.02431957,0.0012507107,0.004950219,-0.0007349899,0.010447732,0.016011905,0.015226044,0.0075498726,-0.0031715077,-0.0073955073,0.0090794945,-0.0009498736,-0.006160584,-0.01742926,-0.0043397737,-0.016489035,-0.09739055,-0.00035916272,0.0035328632,-0.0030083717,-0.0065359725,0.013745539,0.01968861,0.015969805,-0.012580782,0.029666228,-0.028445337,-0.037833564,-0.005855361,-0.0032978067,0.05133352,0.022158455,-0.01829932,0.00040301654,0.031658947,0.034914654,-0.0023768768,-0.013654323,0.00067008624,-0.012671998,0.014664715,0.0058272947,-0.029441696,0.013598191,0.0014822589,0.03415686,-5.3419426e-05,-0.03598118,0.034886587,-0.014398084,-0.004052093,-0.01637677,-0.024347637,-0.016432902,0.005809753,-0.045860562,0.00440994,0.00745164,0.01712053,-0.017653793,-0.002022538,0.0022470695,-0.0011349368,0.014594549,0.019436011,-0.016194338,-0.049228538,-0.019702643,0.0011849301,-0.006567547,0.030564355,-0.0059044776,-0.0019716676,0.0015883851,-0.03699157,0.005785195,0.011907187,-0.018916782,-0.04240839,0.046870954,0.013275427,0.004076651,-0.03803003,0.0075709224,0.041426066,-0.01163354,-0.008651481,0.008539215,-0.036317978,0.013022828,-0.013710456,-0.00055299664,-0.0004771295,-0.007634072,0.015043613,-0.02253735,-0.006314949,-0.031995744,0.03140635,0.003080292,0.019450044,0.016180305,-0.0028592686,0.022495251,0.01720473,-0.011619506,0.027168315,0.012187852,0.019997338,-0.012405367,0.010510881,0.0033749894,-0.00019690362,0.020474467,-0.030873084,0.0056729293,-0.017878324,0.01070033,-0.068033054,0.02932943,-0.005992185,0.015492675,0.006528956,-0.018916782,0.0012401859,0.014215652,-0.009739055,-0.006718404,-0.007984903,0.016475001,-0.03224834,0.012538683,-0.007072743,-0.0051010754,0.019281646,0.010124968,0.010538948,0.010447732,-0.017022297,-0.01032845,0.017527493,-0.014201619,-0.01563301,-0.0006806112,-0.022551384,0.0037398532,-0.0003635481,-0.015534775,0.033006135,0.0029118932,-0.019000981,0.016503068,-0.008097169,-0.034016527,-0.0072200918,0.015141845,0.019464077,0.01490328,-0.019534243,-0.025329962,0.003750378,0.008455016,-0.005750112,0.011268675,0.002241807,0.0081392685,0.020867398,0.011268675,0.014622616,0.015955772,-0.028487436,-0.009837288,0.0037398532,-0.0075358395,0.008876013,0.0010200398,0.031911545,-0.004585355,0.011303759,0.014791015,-0.0021997073,-0.006385115,-0.020362202,-0.006834178,0.00581677,-0.010735413,0.022860115,-0.02314078,-0.03076082,0.0061395336,-0.0035714547,0.019337779,0.02779981,0.0070902845,-0.009121594,0.011696689,0.008504132,0.020249937,0.011844038,-0.013766589,-0.0205727,0.018916782,0.0036872285,0.007963853,0.0018874682,0.0074726897,-0.0072692083,0.013359626,-0.021344528,0.019141315,0.010651214,0.018313354,-0.019534243,0.02545626,0.0020295547,-0.002322498,0.004231016,0.03923689,0.0006722789,-0.004150325,0.010567015,-0.014047254,-0.022214588,-0.0033960394,-0.003531109,-0.0335394,0.01274918,-0.0037188034,-0.018453686,-0.013913938,0.003417089,0.0097530885,-0.017752025,0.0035381257,0.018158989,-0.015408476,-0.020081537,0.009402258,0.030367889,0.015296211,-0.021316461,-0.021119997,0.0168118,0.005336132,0.017373128,-0.011380942,0.008483082,-0.0013147373,0.002955747,-0.015141845,0.0024049433,-0.034577858,-0.025512394,-4.955481e-05,-0.006714896,0.014187586,-0.010398616,0.08925128,0.016910031,-0.007086776,-0.0027662986,-0.016980197,0.010602098,0.020249937,0.009325076,0.01799059,-0.026003556,0.050575726,-0.0034434015,-0.003950352,-0.023000447,0.0055045304,-0.005967627,-0.032192208,0.00794982,0.0031539663,0.0050765174,0.01589964,-0.008167335,0.021765525,0.026677152,-0.012180835,0.0053641982,0.004076651,-0.009065461,-0.03202381,-0.0104757985,-0.01455245,-0.008883029,-0.0043748566,-0.028543571,0.014636649,-0.015534775,0.00011138868,0.009346126,0.02636842,0.033707798,-0.011458124,0.011500224,-0.014082337,-0.028880367,-0.0043397737,-0.0027803318,-0.0047853286,-0.020783199,-0.024165206]', 'plot a bar chart of humanitarian organizations in Wadi Fira by sector using Humanitarian Data Exchange data as an image', '{"mem_type": "memory", "custom_id": "e9d3e3ee-977f-4291-a51a-7e4e3e4cd5f3"}', 'e9d3e3ee-977f-4291-a51a-7e4e3e4cd5f3', '61507cba-c84c-4896-abde-f2f250c81080'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.010890401,0.010777663,-0.015542684,-0.0146107245,-0.004772536,0.016745213,-0.04957425,0.00016628718,0.0020048409,-0.041156545,-0.011003138,0.030679515,-0.0021081832,0.0033182278,-0.008936292,-0.0015830164,0.0058134748,0.004516999,-0.00015665755,0.00033609738,0.009665324,0.013926786,-0.00054019847,-0.0007727187,-0.006546266,0.01811309,-0.0008478767,-0.022306908,-0.024696933,-0.024787124,0.038360666,-0.019931914,0.0011564945,-0.017136034,0.0050957156,-0.022517351,0.014129712,-0.016655022,0.03147619,-0.0048965467,-0.020382863,-0.01270171,0.02289314,0.0015999269,-0.019766565,-0.0018545248,0.02737256,0.0028353373,0.0012729894,0.02474203,-0.0018986801,0.0077563105,-0.035715103,-0.016790308,-0.0032787698,0.016745213,0.021976212,0.026545823,-0.00304578,-0.01906008,0.020382863,0.0028409741,-0.020623367,0.00089485047,-0.007489499,-0.033851184,-0.0058698435,-0.009515009,0.023975417,0.015993632,0.019781597,0.027853573,-0.0015341636,-0.018443784,0.011311286,0.008816039,-0.012446173,0.0039570713,0.006813077,0.0043666824,0.027808476,-0.017632078,0.0008328451,0.017586984,0.03902206,0.009447366,0.006692824,0.032257833,-0.00241821,-0.014978998,0.01972147,0.012604005,-0.00029781376,0.015294663,0.014836199,0.01764711,-0.0014364582,0.0075345943,0.0027207213,-0.033640742,-0.017090939,0.013753923,-0.046177104,0.00055898796,-0.022111498,-0.00840267,0.025373356,0.0072828145,0.009928378,0.015948538,-0.02373491,0.045966662,-0.0006078407,-0.020788716,-0.036045797,-0.006831866,0.037398644,-0.013197753,-0.0060276752,-0.006309518,-0.008628144,0.03258853,0.00886865,-0.013836596,0.00046527528,0.004235156,-0.019961977,-0.025734115,-0.01972147,-0.016820371,-0.0019447145,-0.011153454,0.013287943,-0.011333833,-0.036166053,0.0377594,-0.015437462,-0.00807949,-0.031115431,-0.010221494,0.018834606,0.019450903,0.00499801,-0.0007426554,-0.018037932,-0.0027921214,-0.020112293,0.0037503864,0.009334629,-0.016174011,0.008470312,-0.0054527163,-0.0146783665,-0.002730116,-0.032468274,0.008139617,0.0028221847,0.018067995,-0.013663732,0.0046334937,0.014580661,-0.004005924,0.0026079842,-0.00021760604,0.023298994,0.05203943,-0.0031228168,-0.023704847,0.00052610633,-0.015437462,-0.0104469685,0.025658958,-0.0051408103,-0.00381615,-0.00994341,0.014558113,0.014693398,0.032618593,-0.00637716,-0.040044207,0.0010794575,0.012679162,-0.004223882,-0.0019353197,-0.024426365,-0.026590917,0.007008488,-0.012927184,-0.004265219,0.025478577,0.025057692,0.026275253,0.007617268,0.017617047,-0.58442897,-0.040855914,-0.0054715057,-0.03586542,0.030198503,0.0046823462,0.010116273,-0.0019541092,-0.025448514,0.02651576,-0.015617842,0.022111498,-0.0012852026,-0.03484327,-0.00094276376,-0.006858172,-0.041036293,-0.025959589,0.004314072,0.019300586,-0.03409169,0.036767315,-0.014016976,0.010687474,-0.02269773,-0.017030813,-0.005231,-0.010416905,-0.008192227,0.025192978,-0.043501478,0.00816968,0.004344135,-0.0074180993,0.052249875,-0.015617842,-0.011018169,0.02828949,0.017060876,0.018278437,-0.02577921,-0.0075270785,0.018909764,0.005155842,-0.011025686,0.024110701,0.029597238,0.0055053267,0.00662894,-0.028003888,0.009747999,-0.018864669,-0.0036057073,-0.003383991,-0.0006970909,-0.005730801,0.047018874,-0.022412129,0.019090144,0.03412175,-0.003658318,0.009860735,-0.011078296,-0.027147086,-0.011025686,0.01316769,0.041968253,0.008861134,0.00047161675,-0.048161276,0.0069934563,0.020743622,0.010492063,-0.010619832,0.013205268,0.0125138145,0.03006322,-0.012656615,-0.01653477,0.028890753,0.043291036,-0.011694592,-0.03337017,-0.019556124,0.006850656,0.0017427272,-0.0235395,-0.005351253,0.023584595,0.025177946,0.020037135,0.0010879127,-0.0033332594,0.015362305,0.0027376318,0.031867012,-0.013115079,0.004400504,0.0055654533,-0.01746673,-0.006429771,0.0011884366,-0.02923648,-0.019405808,0.0061855074,0.0036395283,-0.033039477,-0.012273309,0.023208804,-0.011807329,0.010529642,0.008094521,-0.004798841,-0.041817937,-0.02859012,-0.029973028,0.03183695,0.00723772,0.01098059,0.002692537,0.033009414,0.011378928,0.002115699,0.01587338,0.020397894,0.030108314,0.0023749943,-0.03763915,-0.029386796,-0.002499005,-0.009665324,-0.0068995086,0.024501523,-0.025643926,0.014685882,-0.012596489,0.01406207,0.024321144,0.0029330428,-0.012258277,-0.01857907,0.005061894,0.010364295,-0.02138998,-0.033340108,-0.036647063,-0.003729718,0.011416507,-0.007064856,0.0049566734,-0.029041069,-0.012942215,-0.018729385,0.017421635,0.03821035,-0.028304521,0.03327998,-0.016294265,-0.004919094,-0.023028426,-8.690149e-05,0.00662894,-0.0044080196,-0.020022104,-0.017226225,0.0020818778,0.023659753,0.017541887,0.007929174,-0.03691763,-0.012852026,-0.019541092,-0.032798972,0.02970246,0.00022688335,0.033881247,-0.002572284,-0.012190635,0.009124187,-0.016324328,-0.011739687,0.03445245,-0.010371811,-0.017556919,0.023253899,-0.0005608669,0.015632873,0.017151067,-0.010138821,0.03159644,-0.001961625,-0.011641981,0.008703302,0.029401828,-0.03905212,0.016564833,-0.004223882,0.015632873,-0.010679958,0.03538441,0.023780005,0.0060126437,0.01139396,0.0034140542,0.006339581,-0.009635261,0.002927406,-0.01200274,0.021134442,-0.019556124,0.0229683,-0.04392236,-0.008605597,0.018564038,0.0012607762,-0.009334629,-0.0048251464,-0.00027080384,-0.03165657,-0.01794774,0.030228566,-0.02717715,0.023404216,-0.020427957,-0.0088385865,-0.019180333,0.011920067,0.05790176,0.02520801,-0.009642777,0.022442192,-0.0031754274,-0.009590167,0.004344135,0.023704847,-0.0002975789,0.0027545423,-0.017316414,0.023554532,0.011581855,-0.00040045148,0.025719084,0.028184267,-0.052370127,0.012453688,-0.011356381,0.025658958,-0.013731375,-0.005456474,0.0015905321,-0.016835403,0.0068468982,-0.00035512177,0.02111941,0.019901851,-0.02045802,-0.01508422,0.012634068,0.016670054,0.02111941,0.044613816,0.017090939,0.021329854,0.0129722785,0.008162164,-0.0064147394,0.0007248054,0.01429506,-0.023058489,-0.01793271,-0.0130775,-0.0063583707,0.0059299697,-0.028154204,0.0050694104,0.009808125,0.00953004,0.005467748,0.01587338,0.00962023,-0.009973473,-0.042749897,0.045515712,-0.007233962,-0.0024783367,-0.022171624,-0.03622618,0.044974577,-0.04392236,-0.007692426,-0.013423227,-0.0098231565,0.025223041,-0.0049829786,-0.009830672,0.02504266,0.014843714,-0.013265396,-0.012761836,0.036556873,-0.037579022,0.004385472,0.00159429,-0.019541092,0.051528357,-0.0038781553,-0.00019458888,-0.00024214984,-0.006726645,-0.014407798,-0.008763428,0.020878905,8.836942e-05,0.0018986801,0.010649895,-0.0148737775,-0.013874175,0.007801405,0.023644721,-0.005832264,0.01252133,-0.037218265,-0.009492462,0.03213758,0.024681902,0.017692205,0.016955655,0.016128916,0.008598081,0.007831468,-0.031897075,-0.031987265,0.0038368183,-0.017361509,-0.0025816788,-0.023749942,0.0076473313,0.017707236,0.02447146,-0.020758653,-0.019796629,-0.019315617,-0.002957469,-0.020939032,-0.014911356,-0.00017756088,0.012581457,0.008342543,0.019360712,-0.002190857,0.011348865,0.028635215,-0.009282019,-0.024035543,0.014896325,0.00043286337,0.003808634,0.027688224,0.014715945,0.051708736,0.03766921,-0.016249169,0.010477032,0.005963791,-0.0051295366,0.023449311,0.021810865,0.0073917937,0.021916086,-0.00047443516,-0.0056406115,0.02391529,0.0021683096,0.0012194393,-0.008237322,-0.00483642,0.00492661,-0.02577921,-0.0043929876,-0.014655819,-0.0013500265,0.0031773064,-0.00021138201,-0.019961977,-0.024456428,0.0033614435,0.010093725,-0.019766565,-0.026741233,-0.011995224,-0.01354348,-0.003000685,-0.013994428,-0.0037184444,-0.019931914,0.014084618,-0.023599626,0.03691763,0.0016600534,0.03016844,0.017722268,-0.017421635,-0.00040961136,-0.03147619,-0.024877314,-0.0046710726,0.012333435,-0.021254696,-0.013408195,0.006260665,-0.027192181,0.006271939,-0.0037992392,0.040675536,-0.009928378,0.011378928,0.024426365,0.010289136,0.011258676,0.012318403,0.020743622,-0.0042389138,0.00033257436,-0.011115875,0.017361509,-0.02635041,0.008891197,0.004851452,0.04061541,-0.0029931692,-0.011980193,0.01522702,0.0076473313,-0.0031265747,-0.013498385,0.00331447,0.0037917234,0.01316769,0.0073241517,0.005028073,-0.009883283,0.010830275,-0.0023186258,-0.02260754,-0.007549626,-0.021931117,0.009041513,-0.0024463944,0.0016666297,0.010755116,-0.009988504,-0.022923203,-0.0062456336,-0.008823555,-0.009770546,0.00583978,0.01148415,-0.005614306,-0.009417303,0.0049829786,-0.006384676,-0.0043027983,-0.02839471,-0.0136937965,-0.0021100622,-0.011566823,0.0024482734,-0.01915027,-0.017977804,-0.019105176,-0.028094077,0.016609928,0.0075984783,0.01839869,-0.010033599,-0.009815641,-0.009793093,-0.014520534,-0.018022899,-0.022096466,-0.015069189,0.0009211558,0.027973825,0.020623367,0.02250232,0.006193023,0.008748396,0.0036414072,-0.004547062,-0.018052964,-0.0021438834,-0.033941373,-0.017722268,-0.01857907,0.005009284,-0.009898314,0.011348865,-0.0070122457,0.009552588,0.009018966,-0.013445774,-0.0023336574,0.00662894,0.012310888,-0.023449311,-3.781389e-05,0.0050994735,0.012829479,-0.050596397,0.0069821826,0.039803702,-0.011611918,0.016745213,-0.018714353,0.023825102,-0.026155,0.010822759,0.007121225,0.019916883,0.011514213,-0.0049829786,-0.02456165,0.011048233,0.04025465,0.014813651,-0.040735662,0.018263405,0.002577921,0.016219106,0.010341747,0.028048983,0.002040541,-6.235769e-05,-0.015362305,-0.012649099,0.008936292,-0.015527653,-0.0023712364,0.030138377,-0.007583447,0.002576042,0.038180288,-0.004381714,-0.03063442,0.017151067,-0.0085454695,0.033129666,0.0183085,0.033490427,-0.0019522302,0.009838188,-0.03258853,0.019225428,-0.022457223,-0.015121799,0.021540295,0.027567971,-0.008056942,-0.012506299,0.019661345,0.036556873,-0.015384852,-0.03634643,0.016309297,-0.015903443,0.002232194,-0.023945354,0.018022899,-0.030784735,0.017226225,-0.010822759,-0.011416507,0.014926388,0.0018836486,0.008327511,0.020668462,-0.025899462,0.0177373,0.006463592,-0.008237322,-0.005997612,-0.007831468,-0.051047344,0.016670054,-0.010259073,0.018158184,0.008951323,0.0019447145,0.011844908,0.017992835,0.0032130065,-0.014843714,0.017090939,0.025824305,-0.017917678,-0.01970644,0.010664927,0.021239664,-0.008049427,-0.011363897,0.002157036,0.0093646925,-0.02681639,0.0028541267,0.008725849,-0.02737256,-0.011521729,-0.024862282,0.0064109815,-0.0068995086,-0.0037541443,-0.0074707097,0.0070761302,-0.029912902,-0.037007824,0.007966753,-0.0027188424,0.023133647,0.01400946,-0.011514213,0.0060201595,0.050746713,-0.015309694,-0.00030462496,0.016850434,-0.0055955164,-0.032829035,0.0047800518,0.0016525375,-0.014693398,0.030408945,-0.022712762,-0.045365397,0.0013528449,0.012836995,0.039743576,-0.016880497,-0.0022509834,-0.0033595646,0.009838188,-0.0049378835,-0.007000972,-0.013423227,0.035654977,-0.0061291386,0.0018770722,0.025147881,-0.033400238,0.04091604,-0.004088598,0.00017720858,0.020112293,-0.04548565,-0.0020461779,-0.003616981,0.012205667,-0.023058489,-0.012731773,0.0011658892,0.00943985,-0.015647905,0.015279631,0.01663999,-0.014302576,0.015813254,0.009747999,-0.0028372162,-0.004802599,-0.019390777,-0.024321144,-0.050987218,0.024185859,-0.03643662,-0.027312433,-0.013588575,0.03715814,0.015542684,-0.032919224,-0.04287015,-0.015384852,-0.050355893,-0.0043027983,-0.030784735,0.0130775,0.017151067,0.009770546,0.028845659,0.029116226,-0.008703302,-0.007944206,-0.009980989,0.021525264,-0.008109553,-0.03529422,0.0040435027,-0.014227418,-0.039803702,-0.0077563105,0.02559883,-0.00019341454,-0.004727441,0.027207213,-0.00070930406,-0.00915425,-0.0061065913,0.007624784,0.006722887,0.0076698787,0.006429771,-0.03183695,0.0005815354,0.018233342,0.00089438073,-0.031055305,0.01139396,0.0109054325,0.02484725,0.0051633576,-0.0024952472,-0.019450903,-0.0101764,-0.016098853,0.024591712,-0.0030833588,-0.025358325,0.013197753,0.0152044725,-0.006076528,-0.0071324985,0.052009366,-0.013956849,-0.0050243153,0.013152658,-0.005997612,-0.044704005,0.00022606131,0.011424023,-0.012025287,-0.010800212,-0.011882487,-0.005118263,-0.024651838,-0.0017840641,0.005076926,-0.013836596,-0.027071929,0.020232545,-0.03036385,-0.0046485253,0.010935496,-0.0012983553,-0.027222244,0.021420043,-0.005738317,-0.029627303,-0.008184711,0.015151862,-0.002923648,-0.016519738,0.047950834,0.18001856,-0.0066214236,0.021886023,0.021089347,-0.022096466,-0.011566823,0.017481761,0.021720676,0.016594896,-0.010108757,-0.010116273,-0.0031284536,0.0040923557,0.010078694,0.012040319,-0.013197753,-0.03634643,-0.011995224,-0.065898575,-0.019210396,0.00028583544,-0.025989652,-0.023058489,-0.031897075,0.013626154,-0.007143772,-0.016700119,-0.011544276,0.03790972,0.036647063,-0.015512621,-0.030108314,-0.0006388434,-0.0040209554,-0.02138998,0.017241256,0.014422829,0.020382863,0.042749897,-0.0015877137,-0.0053888317,-0.023945354,-0.033550553,-0.008552985,0.000979873,0.015677968,0.008853618,-0.025192978,0.009056545,0.00058200513,-0.009424819,-0.0025910737,0.036196116,-0.005343737,0.0007797647,-0.016038727,-0.00036522115,0.012821963,-0.016670054,0.020969095,-0.010604801,0.02559883,-0.013378132,-0.008252353,-0.035955608,0.00053972873,-0.0030702061,-0.0067153713,0.0010428178,-0.015467525,0.02335912,-0.00863566,-0.029266544,0.013535964,-0.019676376,-0.021374948,0.018533975,-0.003575644,-0.006380918,0.040014144,-0.0067867716,-0.021269727,-0.009793093,-0.008485343,-0.007951722,-0.0459366,0.0066815503,0.0035474598,-0.035624914,-0.0063997074,-0.002925527,-0.00013093941,-0.017707236,-0.0075646574,0.006456076,0.0039307657,-0.009221892,0.010664927,-0.010026083,-0.012761836,-0.010920464,0.061419155,-0.00045963842,0.0067491927,-0.015813254,-0.004201335,0.009484946,0.017602015,0.012175604,-0.010815243,0.00863566,-0.037488833,-0.00985322,-0.010221494,-0.01195013,0.00029241177,-0.010416905,-0.0135960905,-0.01148415,-0.009094124,-0.015948538,-0.03520403,0.0032938013,-0.006955877,-0.020908969,-0.009687873,0.0075608995,-0.0032599804,0.005550422,-0.030288693,0.043862235,0.010604801,0.022532383,-0.011311286,-0.013250364,-0.0115292445,-0.022021307,-0.013716344,-0.024155796,0.03421194,0.010198947,-0.003156638,0.023810068,0.01195013,-0.011258676,0.0034027805,0.018819574,-0.010717537,-0.0051032314,-0.031145494,-0.016940624,-0.027778413,0.00038471524,-0.015219504,0.0433211,0.0012992948,-0.0083801225,-0.0029048584,0.014693398,-0.02466687,-0.01951103,0.0068468982,0.015354789,-0.00067313423,0.0077638263,0.023253899,-0.19529067,0.0026079842,0.00081593456,-0.037849594,0.01098059,-0.041366987,0.025343293,-0.0018517064,0.002886069,0.0066702766,-0.0067003397,0.015099252,-0.024351208,0.0022115256,-0.028064014,0.025749147,-0.026696138,0.011273707,-0.00082485954,0.015016577,-0.015587779,-0.015993632,0.020022104,-0.007884079,0.029251512,-0.0061817495,-0.00036968364,0.022757856,0.0018441905,0.022081435,-0.011927582,-0.011221096,0.017962772,-0.021600423,0.011153454,7.040195e-05,-0.02045802,-0.0027413897,-0.009342145,0.041848,0.0038819131,0.0074519203,0.010770148,-0.02129979,-0.0030119587,0.015572747,0.015001546,0.007914143,-0.0046334937,-0.025102787,-0.008335027,-0.024967503,0.006719129,0.004077324,0.005268579,0.011296255,-0.00947743,0.005009284,-0.012130508,-0.015076704,-0.0069107823,-0.03129581,-0.008049427,-0.011551792,0.0015200715,0.0021513992,-0.039202437,0.0007224567,0.010259073,0.031145494,-0.0056819483,-0.00096155325,-0.00073279097,-0.0039119762,0.009139218,0.0025121577,-0.049544185,-0.0025516157,0.01653477,0.010041115,-0.028635215,0.030138377,-0.012092929,0.020037135,0.01793271,0.00886865,0.009732967,-0.0016205953,-0.009124187,-0.0007943266,0.037819527,0.0017399088,0.023223836,-0.013761438,0.02335912,0.03204739,0.006489897,0.018007867,0.015377336,-0.023689816,-0.0025365842,0.011687077,-0.005122021,-0.0023092309,-0.0031228168,0.015662936,-0.030874925,0.020412926,0.032648657,-0.02102922,-0.009109155,0.016865466,0.020563241,-0.011927582,-0.014595693,0.0064034658,-0.015903443,-0.028650247,0.008658207,0.016369423,0.00035253822,-0.0011367655,-0.024681902,-0.0149414195,-0.008350059,-0.013400679,-0.1096105,-0.0026155,0.007230204,-0.02792873,0.022757856,0.012836995,-0.003968345,-0.0038180288,-0.018473847,0.00562558,-0.018098058,-0.019330649,0.0013162052,0.009041513,0.05041602,0.00013082198,-0.028695341,-0.006651487,0.019075112,0.036617,-0.006350855,0.006268181,0.0022472255,-0.016234137,-0.0014655819,0.01536982,-0.007981785,0.03493346,0.01382908,-0.0003842455,-0.0009639019,-0.01793271,0.001671327,0.010627348,-0.01116097,-0.009702904,-0.01653477,-0.018022899,0.0146107245,-0.046447672,0.00017204146,0.005734559,0.0076360577,-0.022021307,0.003231796,-0.0062907287,-0.0013021132,0.037428707,0.013911754,-0.01972147,-0.04746982,-0.014558113,-0.0064147394,-0.0183085,0.027763382,0.003919492,0.004840178,0.006038949,0.004122419,-0.011085812,-0.0011987708,-0.018098058,-0.019210396,0.031806886,-0.003502365,-0.020743622,0.0066176658,0.014918872,0.009184313,-0.012919668,0.007778858,0.0214952,-0.023554532,-0.007726247,-0.00096578087,-0.010943011,-0.010138821,0.004111145,-0.01952606,-0.027026834,-0.021179538,-0.010244042,0.002923648,-0.008853618,0.018789511,0.017707236,0.018158184,-0.020969095,0.038871743,-0.022908172,-0.003275012,0.024696933,0.013032406,-0.018804543,-0.03183695,-0.014099649,0.009687873,0.011138422,-0.020473052,-0.006061496,-0.019541092,0.01406207,-0.056639105,0.02567399,0.0038819131,-0.020638399,0.0020593305,0.0006003249,-0.015452494,0.0006191144,-0.010815243,0.0064147394,-0.011063265,0.013272911,-0.031536315,-0.013054953,-0.016279234,-0.010003536,0.018098058,-0.00066937634,0.040555283,-0.0032618593,-0.019300586,0.017586984,0.016790308,-0.012724257,-0.017767362,-0.01793271,-0.01429506,0.006260665,0.0013218422,-0.037428707,0.0071700774,0.00016487796,-0.0055278745,0.0073880358,0.006891993,0.00053174316,-0.0094623985,0.020863874,-0.0035343072,0.020022104,-0.012912152,0.006260665,0.003915734,-0.0060126437,-0.012310888,0.029311638,-0.022066403,0.0013876054,0.032408148,0.013889207,0.017481761,0.017662141,-0.01951103,-0.018609133,-0.02970246,0.009800609,0.01644458,0.02081878,0.0044455985,-0.009605198,0.034151815,-0.0021250937,0.011296255,0.005546664,0.004498209,-0.0019541092,0.010567221,0.005287369,0.00985322,-0.03382112,-0.033881247,-0.016655022,0.013445774,0.028605152,0.035113838,-0.014167292,0.00024872617,0.013250364,0.010792695,0.023840133,0.031897075,-0.028469868,-0.043140717,0.021916086,0.026320348,0.007951722,-0.003771055,-0.00063085783,0.010755116,0.0148737775,-0.0042464295,0.015467525,0.02373491,0.037398644,-0.015189441,-0.009717936,0.0020574515,-0.03045404,0.026876517,0.04819134,-0.016038727,0.0003577053,0.019916883,0.008988902,-0.0057571065,0.0036414072,-0.012032803,-0.06241124,0.035444535,0.00039387515,-0.015437462,0.008117069,0.017361509,0.014347671,0.01153676,0.014640788,0.02681639,0.0023505678,-0.025989652,0.00999602,0.0334303,0.009860735,0.020397894,0.004580883,0.01148415,0.009312082,0.032558467,-0.010522126,0.013009857,-0.0053550107,0.023419248,-0.010537158,-0.027613066,-0.028980942,-0.00361886,0.03679738,0.0020123567,0.028364647,-0.014302576,0.11880984,0.020638399,-0.005287369,-0.010785179,-0.013799017,0.026064811,0.0055880006,0.007466952,-0.013956849,0.004028471,0.04933374,-0.0078239525,-0.01252133,-0.019210396,-0.010867854,-0.025809273,-0.021374948,0.035624914,0.021284759,-0.022908172,0.025448514,0.012198151,0.035173967,-0.0032411907,-0.020924,-0.0018413721,0.027718287,-0.008184711,-0.012446173,-0.015482558,0.0038706395,0.01382908,-0.0036977758,-0.028169235,0.009266987,-0.011025686,0.009657809,-0.022622572,0.028560057,0.017857552,-0.0026850211,0.0016985718,-0.018744417,-0.0127768675,-0.0031660327,0.007064856,-0.0020593305,-0.0125138145,-0.019586187]', 'provide a text summary of metadata for Wadi Fira using HAPI data as text', '{"mem_type": "memory", "custom_id": "0d41e4e3-6955-4a3e-ae27-7e6836dc28e9"}', '0d41e4e3-6955-4a3e-ae27-7e6836dc28e9', 'dc7380f4-1549-41f3-8a1f-87d4082f8656'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.018946944,-0.014049337,-0.022536138,-0.007521579,-0.0052979942,0.0041683274,0.0005965606,-0.04121139,-0.023894599,-0.035262764,0.015801035,-0.0062846653,-0.015143255,0.0043256227,-0.012061696,-0.00087942416,0.018231964,0.0034033,0.0061130705,-0.021906957,0.016172824,0.018131867,0.0237945,-0.027498093,-0.011060725,-0.01122517,0.001743655,-0.018846845,-0.017188095,0.0055267876,0.0009616467,-0.008658395,-0.0020716516,-0.030343708,-0.001675732,-0.003642818,-0.011439663,-0.0035123343,-0.004961954,0.0043756715,0.014757167,-0.017588483,-0.0009491346,0.0118901,-0.010982078,0.006191718,0.0019965789,0.0012476384,-0.009073083,0.0015166492,0.021578066,0.007249887,-0.010031155,-0.018846845,0.008100712,0.02656862,0.0027490943,0.02758389,-0.0038930606,-0.0035105469,0.019790618,0.031487674,-0.048218183,0.0084081525,0.00056662085,-0.008615497,0.0054731644,-0.014771466,-0.010503042,0.008708444,0.006499159,0.010617438,-0.008443902,4.929445e-05,-0.0017883412,-0.012497833,0.0119044,0.015543643,-0.0013933153,0.0009527095,0.019847816,-0.013234261,-0.013899191,0.034175996,0.0040289066,0.025367454,-0.0028438289,0.019190036,-0.0014835814,-0.009073083,0.015515044,0.019275833,-0.002193198,-0.020848786,-0.018660951,-0.0058807023,-0.021263475,0.02581074,-0.0109248785,-0.030372307,-0.026954709,0.006020123,-0.027712585,-0.010202751,-0.03780809,-0.0026954708,-0.008007765,-0.020820187,0.030515304,0.01462847,-0.015429246,-0.0015756349,0.009981107,-0.026111033,-0.00749298,-0.016730508,-0.027355095,-0.039667033,-0.028484764,-0.032488644,0.012655128,0.017602783,0.017202394,-0.017502686,0.0131127145,0.013384406,-0.026954709,-0.0024702523,0.007736073,0.0135989,0.032231253,0.008944388,0.023723003,0.00698177,-0.03331802,0.017188095,-0.0031280331,0.009023035,0.015372048,-0.005676933,-0.00019192717,0.024681075,-0.02962873,-0.0010018643,-0.012454934,0.03612074,0.0020466275,0.00476891,-0.012733776,-0.01291967,0.0054624393,-0.024452282,0.01904704,-0.011010677,0.011804303,-0.006567082,-0.0109534785,0.007864769,-0.026439924,-0.0068566487,0.014392527,-0.014871563,-0.00077396474,-0.023336913,-0.010302847,0.030744096,0.029171143,-0.01224759,-0.003467648,-0.007907667,0.003960984,0.015972631,-0.021492269,0.009151731,0.002600736,-0.00092411035,0.0045115175,0.013391556,-0.009838111,0.031802267,-0.025496151,-0.015786735,0.028627759,0.017102297,-0.01738829,-0.02688321,-0.0029653753,-0.00062024425,-0.03949544,0.00087004004,0.015886834,0.005816354,0.0061202203,0.014871563,-0.6424515,-0.009323326,0.01494306,0.0013182425,0.021663863,0.03663552,-0.009709415,-0.011925849,-0.008951537,0.0037822388,-0.007764672,1.9298846e-05,0.0085154,-0.008207959,0.02489557,-0.016530314,0.004447169,-0.019962214,-0.0066564544,0.038265675,-0.029171143,0.022278745,0.00068325177,0.008808541,0.0047760596,-0.007621676,-0.010302847,-0.042812943,-0.0120330965,-0.0017248868,-0.02618253,0.030829893,-0.020491298,-0.019547526,0.046159044,0.0031548447,-0.023465611,0.010288548,0.0237802,0.049219154,-0.01837496,-0.008865739,0.034519184,0.0104172435,-0.019890716,0.0006845924,0.029657329,0.02962873,-0.015500745,-0.0030565353,0.01631582,-0.008250858,-0.015386348,-0.0014817939,0.026997607,-0.0061988677,0.022579037,-0.027355095,0.013441605,0.005612585,0.016544614,0.016244322,-0.01767428,-0.0055339374,-0.009394824,0.007121191,-0.004397121,0.0017776166,0.0007324066,-0.03271744,0.007042543,0.0055875606,0.018875446,0.023865998,0.00016589747,0.00037893886,0.028127274,0.0063418634,-0.0074071824,-0.0009830961,0.0009527095,-0.0017302491,-0.026139632,-0.01904704,0.026225429,0.018489357,-0.010696086,-0.018675251,0.0050191525,0.015715238,0.003607069,0.0102099,-0.011032126,-0.0041325786,-0.015229053,-0.00663858,-0.021191977,0.021706762,0.023708703,-0.036235135,-0.00059834804,0.0030458104,0.026597219,-0.0022414592,0.016544614,0.013076966,-0.006191718,0.031373277,0.016473116,-0.00850825,0.0060665966,-0.009881009,-0.011711356,0.0013620349,-0.0040610805,-0.036006343,0.005862828,-0.0031584196,-0.017416889,0.006374038,0.03574895,-0.011768554,0.008779942,-0.0016667948,-0.006770851,0.024952767,-0.0044042706,-0.0040038824,-0.0072999354,-0.0044793435,0.0408682,-0.006702928,0.0014594508,-0.012690877,0.004697412,0.0076145264,0.004389971,-0.0146713685,0.019862115,-0.029743126,0.022950826,0.013241411,-0.0040360563,-0.009015885,0.009823811,-0.008308056,0.026826011,0.0017668918,-0.027998578,-0.011024976,0.012011647,0.010460143,3.5748948e-05,-0.0024112666,0.031888064,0.006906697,-0.0016292584,-0.009923908,-0.00696747,-0.023651505,0.0068494985,0.015500745,-0.0039645587,-0.005165723,0.018746749,-0.031115886,-0.013055516,0.0035159092,-0.007964866,-0.02887085,0.03460498,-0.030372307,-0.012104594,0.026482822,-0.015715238,0.03766509,-0.03360401,0.009988257,0.009301877,0.0048368326,0.0013307546,0.019604724,0.00055455556,0.015944032,-0.0018231964,0.011861501,-0.001252107,0.030858492,-0.01731679,0.018460758,-0.029542932,0.006084471,0.02009091,-7.5463795e-05,0.009602168,0.0025256632,-0.0079577165,0.021506568,-0.013227112,-0.008265157,0.015200453,-0.0035766824,0.002060927,-0.023437012,-0.006881673,-0.036721323,-0.0009258978,-0.027826982,0.010789033,0.011818603,0.02482407,-0.034204595,-0.021821158,-0.004658088,0.006331139,0.03669272,-0.00033201836,-0.003590982,-0.020920286,0.009595018,0.031430475,-0.0025810741,0.010917729,-0.0014058275,-0.006270366,0.030315109,-0.00045691626,0.0067208023,0.007721773,-0.0129625695,-0.030029118,0.020848786,-0.010124102,0.01633012,0.035920545,0.0024309286,0.009659366,-0.024337884,0.008572598,0.009795212,0.006152394,0.025367454,0.016730508,0.007450081,-0.0052872696,-0.004843983,0.010824782,0.012068845,-0.01396354,0.035176966,-0.012519282,0.006881673,-0.0374077,0.0075644776,0.0009375162,-0.006159544,-0.000122105,-0.0033657637,0.017831575,0.030200712,0.026482822,0.027383694,0.005308719,0.007074717,0.014428276,-0.011625558,-0.008451052,0.014263831,-0.020305403,0.00015796567,0.0062238923,-0.031516273,0.0059664994,-0.015357749,-0.00579133,-0.002652572,-0.009952508,0.021520868,-0.0011314542,0.011353866,-0.01295542,-0.019962214,0.01940453,0.014528373,0.014871563,-0.007385733,-0.026783112,0.005197897,-0.0064133615,0.002995762,0.02213575,0.008451052,0.03680712,0.001873245,-0.0038644613,0.004261275,0.037207507,-0.021020383,-0.012454934,0.02112048,-0.022722032,-0.008722744,-0.013849143,0.006767276,0.03574895,-0.0014737505,-0.00986671,-0.009716565,0.0037929635,-0.016401619,-0.0132628605,0.013391556,0.0053873667,-0.0008342911,0.0023040199,-0.008822841,-0.012068845,0.0052908445,0.009073083,0.015386348,-0.01630152,-0.047760595,-0.017059399,0.04524387,0.015886834,0.004954804,-0.013162763,0.00048573886,-0.0016230023,0.017259592,-0.015229053,-0.020048011,-0.011461114,-0.0044006957,0.0031923812,-0.010281398,0.0070568426,-0.003076197,0.0032710289,-0.015257652,0.0014951999,-0.019390231,-0.003076197,-0.024194889,-0.005844953,0.0033764883,-0.0027473068,0.013527403,0.029771725,0.0033657637,0.027140602,0.012011647,-0.007528729,-0.019905016,-0.014535523,0.0060093985,0.0068566487,0.017602783,0.008122161,0.013827694,0.03531996,0.014378227,-0.0051192497,0.010331446,0.005759156,0.007843319,0.0016212149,0.00057243,0.017202394,-0.010410094,-0.020176707,0.02621113,0.0052944194,-0.0051192497,0.0051478487,0.027540991,-0.015243352,-0.014900162,0.020162407,0.0043041734,-0.021349272,-0.018360661,-0.025896538,-0.05308004,-0.016844904,0.011453964,0.030143514,-0.0018231964,-0.010674636,0.0016703696,-0.05339463,-0.00040910204,-0.007174814,0.016144225,-2.5485091e-05,-0.008386703,-0.019147137,0.018560855,0.0062238923,0.031373277,0.001252107,0.0024166289,-0.005340893,0.012004497,-0.02791278,-0.010846231,0.008551149,-0.018846845,-0.01397784,0.0007556434,0.002048415,-0.022021353,0.014149434,0.02315102,0.013827694,0.021063281,0.03234565,-0.0104172435,0.025453253,-0.011082174,0.0073285345,0.013420155,-0.013784795,-0.003027936,0.0030261485,0.0038751862,-0.020791588,-0.004965529,-0.018432159,0.01633012,0.0061094956,0.015343449,-0.009330476,0.010939179,0.03780809,0.002584649,0.015786735,0.008300906,-0.020019412,0.009838111,-0.004011032,0.0069317212,-0.014249532,-0.010467293,-0.00012556819,-0.022550438,0.010317147,0.006835199,-0.02551045,0.011032126,-0.0062810904,-0.02313672,0.01494306,-0.0036892917,-0.019776318,0.026811711,-0.020820187,0.0058664028,-0.033861406,-0.017774377,-0.006588531,0.029714527,0.0047546104,-0.011504012,-0.01765998,-0.016087027,-0.016430218,0.017488386,0.0042719995,-0.025381753,0.011611259,-0.032545842,0.0061738435,0.034519184,0.023651505,0.00025314724,-0.013749046,-0.019247234,-0.041983567,-0.01328431,-0.018889746,0.010467293,0.018789647,0.028327467,0.04979114,-0.009466322,-0.011439663,-0.012533582,-0.002125275,0.010267098,-0.005344468,0.0070032193,-0.017416889,0.0116756065,0.03480518,-0.0063382885,-0.0067315274,-0.014106535,-0.006298965,0.016473116,-0.008236558,-0.014871563,-0.010274248,-0.01602983,-0.0036642672,0.003551658,0.010746134,0.029743126,0.008272307,0.0014907311,0.019032741,0.008858589,0.01943313,0.0028813654,0.039266646,-0.030715497,0.015457845,-0.014842964,-0.00289209,-0.007442931,0.0013048367,-0.012454934,-0.03506257,0.00203769,0.0008307162,-0.0006457154,0.012197542,-0.00749298,-0.019004142,-0.0038894857,-0.018946944,-0.008250858,-0.028298868,0.000430328,-0.026511421,-0.006427661,-0.02994332,0.034233194,-0.0020662893,0.00492978,-0.008479651,0.02891375,-0.006327564,-0.008658395,-0.028684957,-0.04552986,0.03872326,0.01868955,0.027154902,0.021535167,0.00814361,-0.019232934,0.0017454425,0.0006376719,-0.017617082,0.006602831,0.026611518,0.0027544566,-0.016616112,0.0110750245,0.0062810904,0.0012878559,-0.029071046,0.014435425,-0.00027079828,0.00628824,-0.027397994,-0.013648949,-0.016558914,0.014928761,-0.03257444,0.007038968,0.013677548,-0.010495892,-0.04727441,0.03337522,-0.038065482,0.024008995,0.012319088,-0.011125073,0.013341508,-0.013641799,-0.015028859,0.018861147,0.0064848596,0.0170165,0.0061988677,0.0069603203,-0.005333743,-0.0034533485,-0.011318117,-0.002368368,0.020162407,0.031459074,-0.0016730508,-0.00407538,0.010431543,-0.0022396718,0.0156008415,-0.008694145,-0.01731679,-0.00024331629,0.003742915,-0.006238192,0.0075644776,-0.0018169404,-0.0028259545,-0.009723715,0.0052157715,0.0023504933,-0.031888064,-0.010052605,-0.005859253,-0.0045651407,-0.0072999354,-0.024595277,-0.0010724685,0.013034067,0.007421482,-0.0028670658,-0.0023379812,0.0012226141,-0.03463358,0.020634294,-0.009459172,-0.0051299743,-0.011975898,0.016430218,-0.03160207,0.01870385,0.0071676644,-0.0013790157,-0.013384406,-0.0067100776,0.021792559,0.00075430283,0.014428276,-0.016058428,0.015271951,0.0021270625,0.0170165,-0.006609981,-0.021306373,0.017202394,0.010167001,0.0050942255,0.020605695,0.0005085288,0.023637205,0.014828664,0.022221547,0.023422712,-0.00069755135,0.014263831,-0.020948885,0.041382983,-0.011339567,-0.012011647,0.0006595681,-0.0023880298,0.0042577,0.0029921872,0.007950567,-0.012412035,0.0062560663,0.029071046,0.011661307,0.021191977,-0.0009419848,0.011039276,-0.048818767,-0.010910579,-0.004322048,-0.02994332,-0.022293044,0.008615497,0.022650534,-0.01907564,-0.029571531,0.0032567293,-0.0030350857,-0.033975802,-0.01731679,0.00458659,0.0024505905,-0.017273892,-0.014757167,0.018532256,-0.01841786,0.016916404,0.014828664,-0.017073698,0.01602983,-0.00071051036,0.00374649,-0.012204692,-0.037464898,-0.02758389,0.024109092,0.006088046,0.012176092,-6.998974e-05,-0.005373067,0.0102099,-0.023680104,-0.015901133,0.01638732,0.005726982,0.02352281,-0.019518927,-0.021277774,0.0049226303,0.0034283244,0.0076717245,-0.004311323,0.011768554,0.0170165,0.0018258776,-0.006349013,-0.019518927,-0.017588483,0.0006421405,0.017488386,-0.024480881,0.011790004,0.01396354,0.0075644776,-0.015700938,-0.0019286558,-0.015100356,-0.024738273,-0.009559269,0.009008735,-0.031459074,-0.0005188066,-0.008229408,-0.0057627307,0.0023469185,0.0441857,0.002141362,-0.0125121325,0.0045436914,0.0002224255,0.024967067,-0.001993004,-0.021978455,0.011446814,-0.025410354,-0.006692203,-0.011346716,-0.004629489,-0.026668716,-0.011832902,-0.0071891136,-0.027412295,-0.03989583,0.009459172,0.004793934,0.01598693,0.023565708,0.22284465,-0.030114915,-0.040953998,0.032946233,-0.0018205153,-0.02347991,-0.014428276,0.005780605,-0.00882999,-0.004071805,-0.0064705596,-0.011632708,-0.004629489,0.003451561,-0.019190036,0.021492269,-0.04530107,-0.022893628,0.0036320933,-0.004736736,0.026339825,0.010574539,-0.015472146,-0.011182271,0.027183501,0.00017237697,-0.008458202,-0.0023987545,0.02312242,0.016501715,-0.008729894,-0.0203626,0.0075430283,0.015515044,0.002261121,0.0028545535,0.004393546,-0.007979166,0.039381042,0.010252799,-0.014714268,-0.009552119,0.012669427,-0.0068208994,-0.026725914,-0.020048011,-0.00818651,-0.0026901085,0.01973342,0.016716208,-0.026983308,-0.004665238,0.013177062,0.00493693,-0.00986671,-0.0025417502,0.03469078,0.020276804,0.0048118085,-0.014885862,-0.00458659,0.0543956,-0.022922227,0.015715238,-0.021048982,-0.01635872,-0.010753284,-0.04521527,0.02147797,0.013320059,0.031401876,-0.023050923,-0.0056054355,0.0170165,-0.0030100616,-0.017774377,-0.005948625,0.01804607,0.022407442,0.019261533,0.0013039429,0.016601812,-0.01904704,-2.6225205e-05,-0.008293756,-0.03337522,0.013076966,0.0037607895,-0.037293304,-0.0063561634,0.004318473,0.0015157554,-0.03234565,0.005355193,0.0204627,0.014564122,-0.0055553867,0.012018797,0.00097684,-0.00012288701,-0.0059093013,0.015529344,0.006803025,0.020934585,-0.017774377,-0.017602783,-0.0041361535,-0.00916603,0.007392883,-0.003399725,-0.0027794808,-0.029800324,-0.007786121,0.0014549822,-0.01628722,0.0039752834,-0.015729537,-0.013427305,0.0078004207,0.016973602,-0.009973957,-0.0059772246,0.0047832094,0.01602983,-0.020233905,-0.0039002104,-0.007736073,-8.719392e-05,0.0021199128,-0.055653963,0.013713297,-0.021806858,0.0049119056,-0.0013280734,0.017102297,0.010746134,-0.001112686,0.003982433,-0.030343708,0.0044292947,0.003742915,-0.02010521,0.023294015,-0.00782187,0.010024006,-0.013877742,-0.0009848835,0.005998674,-0.013034067,0.0028259545,0.007921968,-0.028070075,-0.014464025,0.006810175,0.023208218,-0.023837399,-0.03377561,-0.030172113,0.01498596,-0.0045758653,-0.032116856,-0.01259078,0.01940453,0.01189725,-0.03506257,-0.011368166,-0.18635212,0.016044129,0.0019965789,-0.049447946,0.022335943,-0.0052372213,0.016415918,0.008115011,0.0071712392,-0.007117616,0.013541702,0.00457944,-0.03271744,-0.035005372,0.0023862424,-0.015457845,0.007764672,0.019619023,0.02212145,0.012340537,0.05345183,0.0056912326,0.0068923975,-0.009394824,0.016744807,-0.011625558,-0.0042362507,-0.007249887,0.005380217,0.007850469,0.006903122,-0.005948625,0.033432417,-0.0033586137,0.016744807,-0.012047396,0.0041611777,0.017445488,-0.0053945165,0.011403915,0.0049977032,0.054624394,0.03128748,0.018074669,0.00093930366,-0.026439924,0.011368166,-0.036206536,-0.0038358623,-0.022736331,0.021392172,-0.018246263,0.011268069,-0.00012981337,0.026139632,0.011175121,0.010009706,-0.015515044,0.0033693386,-0.0039967326,-0.00097684,-0.026511421,0.015758136,-0.008622646,-0.024466582,-0.020791588,-0.024237787,0.019318732,0.007414332,0.015801035,-0.015543643,0.015557943,-0.008222259,0.015429246,0.020476999,0.011439663,-0.027469493,0.005069201,0.01667331,-0.030229311,0.0019036316,0.015271951,-0.008465352,0.026411325,0.014127985,0.023708703,0.0044006957,-0.0051514236,-0.019976513,-0.009823811,0.029514333,-0.025496151,-0.00071810704,-0.00264006,-0.014914461,0.0056983824,0.007550178,0.015357749,0.023050923,-0.015944032,0.004969104,0.012147493,-0.024652475,0.03511977,0.020405501,-0.022278745,-0.0072606117,0.033461016,0.030029118,-0.023179619,-0.016101327,0.028985249,-0.0066171307,0.00916603,-0.0065170336,0.035920545,-0.006059447,-0.013548852,0.025224458,0.037035912,0.006055872,-0.002597161,0.012454934,0.00408968,-0.016945003,0.017717179,-0.09935348,-0.0340616,0.019304432,-0.015186153,-0.027326496,0.03474798,0.014249532,-0.005748431,-0.016802005,0.017917374,0.0027276448,-0.029714527,-0.019690521,-0.0006564401,0.0237802,0.02619683,-0.022593336,-0.016816305,0.0065849563,0.027469493,-0.0063454383,0.0037643644,0.012833873,-0.0037500649,-0.01429958,0.02891375,0.0003331355,0.020948885,0.0066779037,-0.010524491,0.010024006,-0.0068995473,-0.017559884,-0.022636235,-0.0050978004,-0.0067958753,-0.015929732,0.008451052,0.012984019,-0.029457135,-0.0024059042,-0.024194889,0.03163067,-0.03274604,-0.004450744,0.0052157715,-0.027140602,0.009073083,0.017545585,-0.014607021,-0.0064133615,-0.010345746,-0.013920641,0.003115521,0.031030089,-0.0009339413,0.0038251376,-0.00014098492,-0.016244322,0.0005590242,-0.015572242,-0.019890716,-0.02518156,0.019947914,0.012605079,0.0011931212,-0.0140421875,-0.021992754,0.0044400194,-0.0067100776,0.010846231,0.018231964,-0.03981003,-0.0006854861,-0.005573261,-0.0017123746,-0.005348043,-0.0070032193,0.025124362,-0.025295956,0.0073356843,-0.014842964,-0.0023379812,-0.00073017227,0.024466582,0.008465352,0.017288191,0.007850469,-0.02788418,-0.05476739,-0.014757167,0.0021949855,0.023351213,-0.012941119,-0.028999548,0.025567649,-8.085407e-06,-0.002876003,0.018289162,0.0101813,-0.026611518,0.00110643,-0.057312716,0.00714264,0.0006716334,0.0007663681,-0.015543643,-0.009416273,-0.0010242074,-0.03509117,-0.02785558,0.020334002,-0.03134468,-0.003710741,0.006606406,0.012898221,0.007921968,0.0016516015,0.02555335,-0.011017826,0.013491654,-0.00012478618,-0.016072728,0.027483793,0.03940964,0.010331446,-0.020662893,0.011024976,-0.02518156,0.014499774,-0.0050549014,-0.006635005,0.00229687,-0.031859465,0.0016739445,0.03637813,0.007099741,-0.02413769,0.006534908,0.013534552,0.029214041,0.00322813,-0.019776318,-0.023908898,0.009094533,-0.011060725,-0.013162763,0.008315206,0.0010590627,0.005466014,-0.004050356,0.010967778,0.026697315,0.013677548,-0.0012851747,-0.03477658,-0.0051013753,-0.008558298,0.011453964,-0.008365254,-0.0058270786,-0.015243352,0.016230023,0.0075644776,0.033232223,-0.01665901,-0.011546911,0.004690262,-0.00025873302,-0.015915433,0.04452889,-0.03663552,-0.011453964,0.009444873,-0.0037178907,0.008565448,0.0029510758,-0.015715238,-0.023422712,0.02991472,0.0006877204,0.0071891136,0.0030690474,-0.00425055,-0.021620965,0.033146426,0.010932028,0.0055375122,-0.016744807,0.011632708,0.0077503724,-0.00814361,-0.029685928,0.022564737,0.012004497,0.002264696,0.021249175,0.021935556,-0.00476891,-0.010052605,0.030315109,-0.005887852,0.026683016,0.015457845,-0.0024917019,-0.0062095923,-0.005040602,0.011618408,-0.013999289,-0.038551666,-0.00679945,-0.008115011,0.010753284,-0.009959658,0.027841281,0.02147797,-0.036206536,-0.009752314,-0.0112537695,-0.00987386,-0.025710644,0.013720447,-0.0018357085,0.00749298,-0.000102834085,0.015843935,0.02313672,0.029743126,0.016530314,0.002177111,0.03203106,-0.009552119,-0.011182271,-0.003279966,-0.005723407,-0.015014559,-0.025667746,-0.014077936,0.011403915,0.012948269,-0.05382362,0.08328075,0.022407442,-0.014435425,-0.0077432226,0.008115011,0.036864318,0.025381753,0.00697462,-0.014556972,-0.03680712,0.013548852,0.0024595277,0.0043399227,-0.029342737,-0.01056024,-0.016172824,-0.006327564,-0.009301877,-0.010259949,-0.018074669,0.014485475,-0.0043720966,0.0030172113,-0.010281398,-0.018360661,-0.015815334,0.035520155,-0.015958332,0.014514074,-0.056683533,0.008708444,0.016087027,-0.02418059,-0.022636235,0.011932999,-0.016101327,0.013076966,0.00917318,0.023251116,0.011711356,0.004261275,0.015858235,-0.012083145,-0.0012360199,-0.0056268848,0.009673665,-0.014135134,0.004658088,-0.021620965]', 'retrieve all recipes', '{"mem_type": "memory", "custom_id": "dd4627b6-3d99-4add-87d6-84949b70a442"}', 'dd4627b6-3d99-4add-87d6-84949b70a442', '3f39b431-159a-453f-9811-a3d2e85caf2c'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.017500864,0.002598799,-0.011109371,-0.019376474,-0.0036285801,0.028321682,-0.027658004,0.0066439807,0.0036303836,-0.032404736,0.011397926,0.017515292,0.0061895065,-0.003938777,0.0049198642,0.021078948,-0.004609667,-0.0027989843,0.0026727414,-0.020184427,-0.032520156,0.0057097836,0.03693505,-0.008252675,-0.001066752,-0.002187608,0.005284165,-0.026994329,0.0018936427,-0.0023282787,0.0114556365,-0.016159084,-0.0052589164,-0.027080895,-0.0012182435,-0.00911834,-0.007913623,-0.007174201,0.007697207,-0.0037656438,0.010784746,-0.013569303,-0.0039423835,-0.015495408,0.009854156,0.0043283263,0.01062604,-0.009103913,-0.0269799,0.03000973,0.013186967,0.025089864,-0.00774049,-0.01579839,0.021324221,0.010286989,-0.0019351225,-0.007437507,-0.011571059,-0.0234451,0.00011390036,-0.021699343,-0.023459528,0.020069005,-0.017674,-0.011650411,-0.002840464,-0.004854939,0.030096296,0.0020343133,0.041523077,0.03191419,-0.01555312,-0.020386416,0.019059062,0.006405923,-0.024382904,-0.013179754,0.008728791,-0.0024076314,0.03428034,-0.037483305,-0.0074302936,0.0124944355,0.020285422,0.004566384,0.00995515,0.04798671,0.00557272,0.0035943142,0.020920243,0.02299784,0.03338582,0.006333784,-0.004054199,0.011347429,-0.00973152,0.03866638,0.027210744,-0.013958852,-0.00854123,0.0028566953,-0.025522698,-0.009940722,-0.038204692,-0.025320709,-0.0044401414,0.0110516595,0.03211618,-0.004988396,-0.029663462,0.01555312,-0.0021515389,-0.032087322,-0.0064239576,-0.032606725,0.006582663,0.00446539,-0.016288934,-0.030846538,0.012530505,0.025681403,-0.0034987305,-0.002221874,0.00867108,0.022117747,-0.010683752,-0.038579814,0.023863506,-0.005626824,0.0021551456,0.0034229846,0.017717281,0.0005225552,-0.025652546,0.010460122,-0.006928929,0.016418783,-0.027773427,-0.021886902,-0.010077786,0.01624565,0.019809306,-0.02119437,-0.011931753,0.041205667,0.0028224294,0.0020775965,0.002198429,-0.03269329,0.010943451,-0.019953584,0.0052228468,0.006885646,-0.011397926,0.023156546,-0.004339147,-0.0045988467,-0.009810872,-0.015783962,-0.012003891,0.00911834,-0.0013850643,0.004039771,0.03557884,0.03563655,-0.0029649034,-0.016101373,-0.004039771,-0.0006303125,0.00915441,0.013208609,-0.009313115,-0.0060704774,-0.004638523,0.0012173417,0.00034513892,0.020069005,-0.01920334,-0.020530693,-0.009385254,0.015336703,0.017385444,-0.01352602,-0.027369449,-0.012602643,0.025984386,-0.021757053,0.010424052,-0.021699343,0.02744159,0.005648466,-0.023170972,-0.0028999785,-0.6145069,-0.025767969,-0.014131986,-0.023675945,0.014629743,0.021800335,0.015048148,-0.0065429867,-0.022132175,0.022637146,0.017558577,0.042879283,0.0036935052,-0.03237588,-0.0005058731,-0.018337674,-0.028047554,0.004490638,0.002606013,0.029331625,-0.0141103435,-0.008360883,0.0018575734,-0.0034770889,0.018698368,0.0011073301,0.033299256,-0.0106621105,-0.006048836,0.013071545,-0.0039027075,-0.0007628675,0.00011457666,-0.023170972,0.041523077,-0.016274506,-0.023748083,0.009565601,0.035694264,0.0393012,-0.018337674,-0.0065429867,0.020718254,0.015870528,-0.015654113,0.03883951,-0.01323025,0.00037331815,-0.004645737,-0.0649826,0.0010622434,-0.004281436,-0.018972496,0.013540448,0.023098834,0.00034130656,-0.0017042785,-0.0010541277,0.012638712,0.008851427,0.009681023,-0.0012840701,-0.040859398,-0.011657625,-0.009363612,0.02441176,-0.021670487,-0.009702665,0.019232197,-0.003646615,-0.021353075,0.015177998,-0.015812818,-0.010315844,0.015134715,0.01101559,0.006027194,-0.011794689,0.0010685555,0.0036177593,0.0001233122,-0.00097567687,-0.017875986,0.0060055526,0.012198666,0.008158894,-0.03990717,-0.0016781281,-0.004526708,0.004609667,0.02087696,0.0053743385,0.021309793,-0.02080482,-0.023228684,0.029778885,0.0005653876,0.015625257,0.009075057,-0.011787475,-0.012047174,-0.002283192,-0.013316818,-0.0005626824,0.058951803,0.0010369947,-0.02351724,0.00057485583,0.05179564,-0.020775966,-0.02247844,0.009017346,-0.047121044,-0.008952421,0.019174485,-0.041061386,0.001168648,-0.009046202,0.018265536,-0.014081488,0.06065428,-0.0007047056,0.037800714,0.001110937,0.009594456,0.0031470538,0.031827625,0.0052913786,-0.009204907,0.0062003275,-0.020270994,-0.0013517002,0.03537685,-0.036588784,0.015538692,0.0015987755,0.00048874016,-0.021266509,-0.035896253,-0.03390522,-0.0018846254,0.0128911985,0.009702665,-0.0115927,-0.004923471,-0.02377694,-0.024483899,0.0067810444,-0.003459054,-0.0126819955,-0.00889471,-0.018799363,0.0022344983,0.028884364,0.031539068,-0.0012290643,0.044726036,-0.014370043,-0.008916352,-0.0018377352,-0.011513348,0.034770887,-0.016649628,-0.0027052038,0.025854535,-0.0046529504,-0.010676538,0.022925701,0.0026889727,-0.0054320493,0.0061498303,-0.013237464,-0.037194747,0.022882419,-0.015913812,0.01676505,-0.004281436,-0.026749056,0.019145628,-0.012090458,-0.00034716784,0.04013801,-0.0065249517,-0.030557984,0.03148136,-0.0019892266,-0.005616003,0.0041804416,0.008736005,0.037541017,-0.025681403,0.019304335,-0.0032714934,0.0039532045,0.0084258085,0.01714017,0.006286894,0.0047142687,0.010359127,0.011311359,0.026518213,0.013807361,2.0753985e-05,0.002171377,0.030673405,-0.04902551,0.019564034,-0.021179942,0.002602406,-0.009046202,0.012213094,-0.039676324,0.0011497117,0.0055582924,-0.010719821,0.027585866,-0.017962553,-0.0015942669,-0.024743598,-0.017169027,0.00027638164,-0.0051290663,0.03257787,0.009543959,-0.0037403954,-0.03883951,0.009551173,0.0061858995,0.004375216,-0.014117558,-0.0034698748,0.023473956,-0.012342944,0.00751686,0.032751,0.02080482,-0.0017114923,0.0045519564,0.014846159,-0.00517235,0.001654683,0.011917325,0.017270021,-0.012155383,-0.0026276547,0.007891981,0.012941696,0.004905436,-0.019030208,0.014687454,0.0068928595,0.0139083555,-0.0077621317,0.016490923,0.015235709,-0.0031795164,-0.0031560713,0.024325194,0.05144937,0.027023183,0.020270994,0.008750432,0.0015915616,-0.0010865902,-0.017255593,-0.020977953,-0.021266509,-0.0088225715,-0.019362045,-0.007001068,-0.002820626,0.016202368,0.004216511,-0.0155242635,-0.0010207635,-0.022464013,0.015423269,-0.014442182,0.026244085,0.003385112,-0.026633635,-0.014124772,0.019059062,0.007848698,-0.0058179917,-0.0108568845,-0.029216202,0.0038486035,-0.0045122798,0.012249163,-0.0005004627,-0.0028909612,0.030615695,-0.00787034,-0.013085973,0.004808049,0.02229088,-0.0025392848,-0.021151088,0.010806387,-0.021324221,-0.0038089273,-0.0158561,-0.016274506,0.031077383,-0.0043175053,0.0008652144,-0.006817114,-0.012790204,0.011210365,0.0014012957,-0.004790014,-0.021886902,0.027787855,-0.0039063143,0.0006636767,-0.039762888,-0.0043066842,0.064636335,-0.0023823828,-0.0004468095,-0.037743002,-0.030933104,0.015913812,0.01842424,0.014377257,0.007733276,-0.01708246,-0.01406706,-0.0006803588,-0.023271967,-0.013829002,0.026835622,0.0027340595,-0.010467336,0.012003891,0.0069469637,0.003408557,0.018683942,-0.00054780376,-0.011448422,-0.029576896,-0.02614309,-0.0050713555,-0.004577205,0.009370826,-0.015899384,0.027254028,0.023805793,0.019059062,0.04290814,0.014875014,0.013915569,-0.026200801,-0.011585486,0.020097861,-0.00088189647,0.008627797,-0.006510524,0.021858048,0.01172255,0.010135497,0.018597374,0.019059062,-0.0012552146,-0.00047070548,0.009940722,-0.024094349,0.025941102,0.0056737144,-0.012970551,6.903906e-05,-0.026864478,-0.0077621317,0.0077621317,0.0033237939,-0.022391874,-0.014218552,-0.011376284,0.003105574,0.003435609,-0.012213094,-0.0006478963,-0.008324814,-0.019621745,0.0012903822,0.0065646283,-0.010936238,-0.031683348,0.0042381524,-0.032924134,-0.024440616,0.0017710068,0.0021226832,-0.008245462,-0.014600887,-0.026070952,0.020674972,0.030817684,0.015437697,0.026128663,-0.006272466,-0.0069649983,-0.019780451,-0.018467525,-0.015682967,-0.00032394816,-0.0044798176,-0.010561116,0.0027106144,0.0008372606,-0.012638712,-0.0128839845,-0.00015588738,0.024455043,-0.034828596,0.019895872,-0.019982439,-0.016317789,0.007278802,0.015105858,0.012941696,0.01242951,-0.00809397,-0.0026871692,-0.023488384,-0.024296338,-0.0025068223,0.02383465,0.0050280723,-0.0033905222,0.002606013,-0.019766023,-0.02402221,0.012602643,-0.0199103,-0.014471037,-0.022002324,0.0037331814,-0.010813601,-0.005634038,-0.003085736,-0.024498327,-0.00521924,0.006467241,0.01149892,0.011433995,-0.009551173,-0.03713704,0.019491896,0.008966849,-0.013273533,-0.024253055,0.0025645331,-0.024123205,0.018496381,-0.0036412044,0.0014337581,-0.026965473,-0.007819843,-0.008736005,0.002548302,0.0051326733,-0.02363266,-0.0122780185,-0.0041010887,0.00243288,-0.021511782,0.0047286963,-0.014535963,-0.016808333,0.017587433,0.01650535,0.013194181,0.0025591229,-0.0064960965,0.0030983603,-0.013663083,-0.029865451,-0.041638497,-0.032145035,0.023603806,0.021295365,0.021959042,0.041321088,0.028033126,0.010265347,-0.0057025696,0.007098455,0.008274317,0.009565601,-0.017356588,-0.020458555,0.0002116822,0.017068032,0.0055871475,-0.009457393,-0.02813412,0.011390712,0.02178591,-0.012328516,-0.016173512,0.02852367,-0.023906788,-0.019895872,-0.0030388457,-0.008497947,-0.019766023,-0.042446453,0.018077975,0.027658004,0.0021695734,0.025147576,-0.013785719,0.009017346,-0.006730547,0.035809685,0.014730738,0.011304146,-0.0007470871,0.0124944355,-0.009774803,0.026604779,0.022824707,0.010149925,0.017169027,0.0002653354,0.008368097,0.007174201,0.026951045,-0.008800929,0.0324913,-0.019434184,-0.010849671,0.003574476,-0.02865352,-0.028292825,-0.007992975,0.012754135,-0.0020000474,-0.010770318,0.02891322,-0.01946304,-0.013922783,0.0098397285,0.0040181293,0.03468432,-0.014117558,0.034972876,0.013684724,0.011910111,-0.0110660875,-0.00269799,-0.039099213,0.014608101,0.035348,0.03762758,-0.017890414,-0.023805793,-0.0008719774,0.022521725,0.017601859,-0.041465364,-0.0038413897,0.013742436,0.008389738,-0.024354048,-0.00822382,-0.03315498,0.0068495763,0.001733134,-0.017111316,-0.0036105455,-0.0058360267,-0.014384471,-0.0031308227,-0.045418568,0.016173512,-0.009695451,-0.0022272845,0.023459528,-0.0007186825,-0.023906788,0.023762511,-0.009572814,-0.0031254122,0.0053671245,0.022911273,0.00029689612,0.0098253,0.015654113,-0.008476305,0.008974063,0.03814698,-0.012696424,-0.0018305213,0.016462067,-0.015250136,0.0118524,-0.0110660875,-0.01458646,-0.011635983,-0.0011957001,-0.00012218504,0.013792933,-0.028595809,-0.005861275,-0.016202368,-0.0005703471,-0.0003214684,-0.023358533,0.010488977,-0.001301203,-0.033097267,-0.0032660828,0.007747704,0.014752379,0.01985259,0.039560903,0.0010270757,0.0027196317,0.027542584,-0.020761538,0.030096296,0.023372961,-0.0020126717,-0.036502216,0.0057386393,-0.02061726,0.0063121426,0.005103818,-0.040657412,-0.029403763,-0.013742436,0.007524074,0.0317122,0.0077837734,0.009479035,0.00269799,0.03358781,0.002725042,-0.029663462,-0.020516265,-0.001066752,-0.03866638,0.022189885,0.009926295,-0.01752972,0.0052625234,-0.026518213,-0.0052553094,0.027658004,-0.026229657,-0.016519777,0.008750432,0.017010322,-0.024844592,-0.0061498303,-0.0074158655,-0.015077003,-0.002809805,0.008786502,-0.0062941075,0.016837189,0.018828219,-0.0021858048,-0.019116774,0.006355426,-0.026561495,-0.015250136,-0.010359127,-0.02074711,-0.012314088,-0.0083176,0.012104886,0.032779858,0.022189885,-0.03032714,-0.0337898,-0.040426567,-0.037656438,-0.0016537813,-0.0088297855,0.004458176,0.026821194,0.013771292,-0.008656653,0.009904653,-0.018496381,0.0047070547,-0.015812818,-0.007444721,0.011563845,-0.030731117,0.012631499,0.008101184,-0.028119693,-0.02461375,0.02242073,0.020126717,0.04645737,0.026027668,-0.0067089056,-0.019116774,-0.01605809,0.0003149308,-0.011801903,-0.0020866138,0.0013408794,-0.033991788,0.0100489305,0.014817304,-0.0020108682,-0.00067675184,-0.0062508243,-0.0145071065,-0.0016050877,-0.019996867,-0.0061534373,0.005316627,-0.001936926,-0.0023246717,0.008786502,0.010813601,-0.0015780356,0.03635794,0.017053604,0.017948126,-0.009096699,0.0010613416,-0.037800714,-0.0237048,-0.01669291,-0.010214849,0.018900357,-0.012920054,-0.001960371,-0.024628175,-0.007956906,-0.009349184,-0.0059334137,-0.013829002,0.011037231,0.003704326,-0.010561116,-0.021872476,-0.0025897818,-0.010012861,-0.009197693,0.0106476825,0.0064419922,-0.024556037,0.0133023895,-0.028696803,-0.02331525,-0.01516357,0.014045419,-0.015221281,0.014124772,0.044524048,0.20037265,0.008519589,0.0014608101,0.030096296,-0.026042096,0.023372961,0.0015581974,0.020011295,0.016086945,0.017702853,-0.0038053202,0.013071545,0.0031524643,0.0044870316,0.02878337,0.0023643482,-0.032606725,-0.040051445,-0.012718066,-0.004577205,0.01650535,-0.005233668,0.005644859,-0.018077975,0.0147235235,-0.009341971,-0.029216202,0.02242073,0.024584893,0.029346053,-0.011116585,-0.010640468,0.012047174,0.005691749,-0.007639496,-0.005204812,-0.0050100377,0.0051434943,0.02004015,-0.007065993,-0.028364966,0.0088225715,0.0045375284,-0.008772074,0.013381742,-0.017962553,0.007174201,-0.016736194,0.0048513324,-0.003078522,-0.02268043,-0.02035756,0.007992975,0.027369449,-0.009551173,0.00058252056,0.030211717,0.012984979,0.008901924,0.009803658,-0.005453691,0.03563655,-0.016678482,-0.011729764,0.0043175053,0.034857452,-0.013446667,-0.024267482,0.0024076314,-0.021410787,0.0463708,-0.01203996,-0.023906788,-0.0067918655,-0.00063527207,-0.0196506,0.03358781,0.013374528,0.028235115,0.026200801,0.012025533,-0.018525235,0.008627797,0.0024400938,-0.0077837734,-0.019578462,0.021035666,0.0010965093,-0.03306841,-0.0010947058,0.010351913,-0.0100345025,-0.011736978,0.015812818,0.013143684,-0.013158112,0.018352102,0.0073148715,-0.010149925,0.0059045586,-0.00809397,0.04175392,0.016115801,0.0014707291,0.0046962337,-0.014846159,0.006514131,0.002470753,-0.0009792838,-0.022622718,0.01721231,-0.057913005,-0.007029923,-0.009457393,-0.0054284423,0.028437104,-0.00055095984,-0.037973847,-0.0075673573,0.024541609,-0.011109371,-0.03673306,-0.01778942,-0.007819843,-0.02208889,-0.008108398,-0.008469092,-0.0025122326,-0.010618827,-0.019809306,0.017327731,0.00433554,0.026705774,-0.0033219904,0.009334757,0.016361073,0.0025122326,0.010258133,-0.007451935,0.028682375,-0.004945113,0.002018082,0.016721766,-0.0013102205,0.019217769,-0.0010243705,-0.010012861,-4.232517e-05,-0.03148136,-0.010705394,-0.00605605,-0.0020523479,0.007552929,-0.0004986592,0.04238874,-0.010842457,0.006589877,-0.012602643,0.009760375,0.015004865,-0.007480791,0.02331525,0.02506101,0.014146413,-0.020660544,0.015250136,-0.18698369,0.0071381317,0.032029614,-0.013417811,-0.004609667,0.0048152627,0.03901265,-0.011419567,-0.018943641,-0.011138226,-0.0036880947,0.01875608,-0.038204692,0.017197883,0.0066115186,0.034972876,-0.0043247193,0.024354048,0.023286395,0.013057117,0.022536151,-0.0017953537,0.02556598,-0.0084185945,0.015509836,0.010561116,-0.050064307,0.032779858,0.00062805816,-0.018655086,-0.016043661,-0.024180915,0.03872409,-0.0035997247,-0.0023571344,-0.022060037,-0.02029985,-0.01548098,-0.022103319,0.0136198,-0.0018882323,0.01326632,0.0057169977,-0.009846942,-0.002321065,0.0052625234,-0.0050352863,0.0013913765,0.026864478,0.008368097,0.011304146,-0.036761917,0.0075024324,0.0006086709,0.021713769,0.004443748,0.017558577,0.03526143,0.002371562,0.0038558173,-0.027138606,0.0061173677,0.0030658979,-0.021237655,-0.023762511,-0.028667947,-0.0062508243,0.0092337625,-0.0026925795,0.028004272,-0.019751595,-0.0024004176,0.0021659664,-0.022103319,0.013223037,0.0047755865,-0.021540636,0.010705394,0.04181163,0.008130039,-0.01702475,0.038435537,-0.017803848,-0.012299661,-0.011520562,-0.0013940817,-0.013533234,0.022074463,0.004349968,-0.0070732064,-0.004234546,-0.030759972,0.018828219,-0.018539663,0.029952018,0.02184362,-0.006203934,-0.0050352863,0.01323025,-0.020227712,0.013958852,0.01952075,-0.025017725,0.0020361168,0.006874825,0.014030991,-0.025926674,0.020011295,0.038868368,0.005464512,-0.01503372,0.0027196317,0.025205286,0.0025140361,-0.011895684,0.03179877,0.028307253,-0.0074952184,-0.021728197,-0.0002894568,0.026633635,0.012097672,0.0018187988,-0.00561961,-0.012003891,-0.016476495,-0.089971475,-0.0136919385,0.032779858,-0.0018774115,-0.00095133006,0.003489713,0.008382525,0.00460606,-0.003442823,0.026619207,-0.018857075,-0.00792805,0.0059298067,0.0011749602,0.027975416,0.03280871,-0.007278802,-0.00062535296,0.018554091,0.040484276,-0.03012515,-0.021439642,0.025796825,-0.018135687,0.019261051,-0.0029757242,-0.011938967,0.031308226,0.001906267,0.020227712,0.025392847,-0.04285043,0.037165895,0.004115517,-0.0077116345,-0.02923063,-0.0058973446,-0.013893927,0.014045419,-0.038493246,0.012797418,0.00438243,0.01030863,-0.0015636078,0.00051083264,-0.022117747,-0.010323058,0.011953394,0.0054789395,-0.019261051,-0.011585486,-0.006802686,0.006654802,0.0132879615,0.011953394,7.850727e-05,0.017183455,-0.0014499893,-0.04836183,0.0051434943,0.007029923,-0.0073076575,-0.03823355,0.024166489,0.004090268,0.023430673,-0.03269329,0.0034644646,0.01728445,-0.004220118,-0.04813099,0.015957095,-0.02480131,0.010149925,-0.031192806,-0.014831731,0.0061317957,-0.0058540613,0.023978928,0.0017764173,-0.034193777,-0.0332704,0.015538692,-0.014774021,0.020472983,0.010618827,-0.0060704774,0.0078126285,0.008245462,-0.037310172,0.03358781,0.03912807,0.0064780614,-0.02178591,-0.003500534,0.018395387,0.0032336204,0.022637146,-0.041782774,0.012624285,-0.048996653,-0.00081561896,-0.082411334,0.02852367,0.018683942,0.01300662,-0.018943641,-0.006092119,0.004036164,-0.01561083,-0.014557604,-0.006391495,0.007065993,0.011751406,-0.019708311,0.003201158,-0.006474455,0.0031326262,0.0042129043,-0.01040241,0.016736194,0.012631499,0.008714363,-0.0037728578,0.017053604,0.0012588216,-0.011347429,0.0029667069,0.00078676344,0.019001352,-0.01123922,-0.019304335,0.0234451,-0.0031001638,-0.011383498,0.03641565,0.0028350537,-0.012588215,-0.010020075,0.005994732,0.030702261,0.015596403,-0.012119314,-0.036271375,0.0070046745,-0.017803848,0.004858546,-0.0074952184,-0.0145071065,-0.009493462,-0.0037981062,-0.01188847,0.013598158,0.016462067,-0.0024400938,-0.008454664,0.0054212287,-0.028552527,-0.007689993,0.006059657,0.021800335,-0.01429069,0.010063359,0.020833677,0.017645143,0.004122731,-0.0030947533,-0.003516765,-0.015596403,-0.0026817587,0.015971523,-0.024758026,-0.026171947,-0.024253055,0.01101559,0.011967822,-0.004115517,-0.01817897,0.019145628,0.003385112,-0.010878527,-0.0037440022,0.009002918,-0.016404355,-0.049891174,0.0393012,0.012256377,0.0049631475,-0.01304269,0.018337674,-0.023748083,0.009240977,-0.021684915,-0.0051218527,0.008851427,-0.0009657578,-0.026893334,0.0038233548,0.015639685,-0.013547661,-0.003985667,0.019318763,0.005803564,-0.004905436,-0.003646615,-0.012530505,-0.032779858,0.010286989,0.00035393084,-0.01830882,0.009053416,1.8668725e-05,-0.004162407,-0.024483899,-0.013251892,0.01752972,-0.033328112,-0.00464213,-0.004609667,0.00627968,-0.010618827,0.030817684,0.017399872,-0.0024509146,-0.017702853,0.006993854,0.010597185,0.003109181,0.024887877,-0.016707338,-0.0020613654,0.014889442,0.005691749,0.00986137,0.0038089273,-0.025739113,-0.026691345,0.013540448,-0.018380959,0.009428537,0.0029612966,0.12073145,0.006752189,-0.016995894,-0.006813507,-0.00973152,0.011931753,0.0060740844,0.00077729527,0.0013498968,-0.042763863,0.027311739,0.0023264752,-0.006615125,-0.044206638,-0.00893078,-0.010741463,-0.031625636,-0.006734154,-0.018510807,3.947907e-05,0.0039928807,-0.009464607,0.032779858,0.00876486,-0.020545121,0.0034193778,0.01650535,-0.0027593079,-0.021309793,-0.014651384,-0.0032300134,-0.010885741,-0.00094952655,-0.028162977,0.005230061,-0.010121069,0.00165829,-0.011837972,0.025537126,0.003408557,-0.0061426163,0.010431266,-0.0115927,-0.006514131,0.005760281,0.0012822666,0.010222063,-0.013814575,-0.013756864]', 'plot a map of IPC phase 3 data by admin_1 in Chad using HDX data as an image', '{"mem_type": "memory", "custom_id": "452c800a-99af-47fc-8cd2-54389bdd2cb7"}', '452c800a-99af-47fc-8cd2-54389bdd2cb7', 'a640b5fb-f9d0-488f-a5f9-cc0423b0fc92'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.017648531,-0.013340003,-0.015947985,-0.0037011898,0.0012548676,0.0056911153,-0.0059411954,-0.0380408,-0.033925194,-0.035811514,0.014890501,-0.002365046,-0.024250653,0.0066771465,-0.017834306,0.02130685,0.020663785,0.0018577401,0.0075881537,-0.014533243,0.013968776,0.025379587,0.021764139,-0.025336716,-0.008731379,-0.009174378,0.0058483086,-0.010510522,-0.029638099,0.009738845,0.00901004,-0.0009824587,-0.009360151,-0.028194778,-0.00053052773,0.0040798835,-0.013054197,-0.0046979384,0.0035243472,0.004526455,0.01182523,-0.02360759,-0.007873961,0.012604052,-0.008345541,-0.002545461,0.0051552285,-0.0034814763,-0.021578366,0.0065163807,0.01802008,0.009960345,-0.008902863,-0.02084956,0.0030045372,0.02319317,-0.0009511986,0.01800579,0.0032421136,0.006537816,0.019849237,0.028366262,-0.053531494,0.015933694,0.0017469901,-0.005666107,0.0048015434,-0.010046086,-0.012675503,0.0053910185,0.017305564,0.01657676,-0.008145477,-0.0011110716,-7.251215e-05,-0.007845379,0.0019649174,0.00765246,-0.0025275983,-0.0030867066,0.026751457,-0.014876211,-0.013075632,0.035868675,0.0072273235,0.019849237,0.0007712301,0.015533566,-0.0012495088,-0.0153906625,0.011525134,0.011203601,0.012675503,-0.015747922,-0.024479298,-0.0005358866,-0.018363046,0.017276984,-0.0075595733,-0.022821622,-0.018920368,0.011203601,-0.018648852,-0.012682648,-0.033325,-0.005955486,-0.0007832875,-0.014511808,0.029695261,0.014933372,-0.015347791,-0.0014013434,0.006309171,-0.024407847,-0.0023114572,-0.022149978,-0.026780037,-0.04361402,-0.043156732,-0.030038228,0.016676791,0.013404309,0.018434497,-0.0063234614,0.015633598,0.009703119,-0.026708586,-0.0022650138,0.0054874783,0.0066414205,0.047986854,0.0056518167,0.0218213,0.010353328,-0.028466294,0.024450717,-0.0049373014,0.0054195994,0.01043907,-0.009074345,-0.00091145374,0.028480584,-0.025179522,-0.0020899577,-0.01810582,0.029438036,0.0079882825,0.009503054,-0.013632954,-0.017305564,0.007609589,-0.023293203,0.027237328,-0.0053088493,0.010053231,0.0029509487,0.0039584157,0.01116073,-0.025593942,0.0022132117,0.012911294,-0.020206496,0.0017818228,-0.02319317,-0.015061985,0.03472545,0.031553004,-0.013425744,-0.0053088493,-0.0022685863,0.0063841953,0.01456897,-0.020377979,0.010389054,0.011310779,0.004855132,-0.0014710086,0.014447502,-0.0048265513,0.0278661,-0.019692045,-0.017462758,0.022607267,0.02232146,-0.024007717,-0.024536459,0.0025490336,0.0040012863,-0.034553967,-0.0045085927,0.015847953,0.0061019617,0.010853489,0.0136615345,-0.66032654,-0.015933694,0.003947698,-0.010932086,0.02782323,0.030495519,-0.010310457,-0.015633598,-0.0066628563,0.0023328927,-0.012025294,-0.0037119077,0.010489086,-0.010567683,0.026737167,-0.019577721,0.0024043443,-0.025936909,-0.014461792,0.03904112,-0.0331821,0.013811583,0.0025847594,0.0133828735,0.0040262947,-0.014497518,-0.0108249085,-0.033582225,-0.012618342,-0.011489408,-0.02362188,0.024393557,-0.014933372,-0.020063592,0.053531494,-0.0013111357,-0.026165554,0.011089279,0.0259512,0.048587047,-0.016405275,-0.0075810086,0.03226752,0.015662178,-0.023893395,-0.0066628563,0.034868356,0.029009325,-0.019391948,-0.005090922,0.011396521,-0.008188347,-0.017434178,0.0032331822,0.01663392,0.00043540783,0.025922619,-0.03183881,0.014690437,0.009160087,0.009095781,0.010717731,-0.031467263,-0.002372191,-0.008974314,0.004401415,-0.010574828,0.007330928,0.00069174025,-0.0246222,0.0011226825,0.009703119,0.014733308,0.021249687,-0.0021882036,-0.0025811868,0.031352937,-7.094914e-05,-0.012368262,-0.0029259406,0.005505341,0.0018666715,-0.030466937,-0.023421815,0.027251618,0.013561502,-0.002495445,-0.016276661,0.0021149658,0.0120681655,0.009531635,0.011389376,-0.011267908,-0.003318924,-0.018648852,-0.009095781,-0.009667393,0.025150942,0.030352615,-0.032924872,0.0030545534,0.004326391,0.009238684,0.003947698,0.0068629207,0.007781073,-0.008745669,0.023779072,0.027022973,-0.014590405,-0.007359509,-0.0017684257,-0.009631667,0.000363733,-0.008259798,-0.03555429,-0.0027169448,-0.004437141,-0.009946054,0.0035886536,0.03712622,-0.020506592,0.002129256,-0.007473831,-0.0035547141,0.025422458,0.0015165589,-0.009045765,-0.014240292,-0.015876533,0.035754353,-0.011225037,-0.0067986143,-0.015019114,0.0039083995,0.009610232,0.00022406757,-0.01160373,0.0166625,-0.03604016,0.028151907,0.013089922,-0.002922368,-0.016833983,0.001870244,-0.004526455,0.019306205,0.007352364,-0.02086385,-0.008910008,0.013304277,-2.7129257e-05,0.0017836092,-0.0049515916,0.02134972,0.0029938195,-0.0039512706,-0.011074989,-0.00926012,-0.023107428,0.013883035,0.014426067,-0.0025186667,-0.007866816,0.0078096534,-0.018877497,-0.015019114,0.003461827,-0.0075309924,-0.030409776,0.024322104,-0.03198171,-0.012268229,0.011775214,-0.020149333,0.033353582,-0.017491339,0.008874282,0.007616734,0.010117538,-0.005498196,0.017262693,-0.0063484693,0.017219823,0.0047015115,0.00278661,-0.005726841,0.029809583,-0.012303955,0.009874603,-0.022364331,0.0028902148,0.01458326,0.003947698,0.012132471,0.00039521634,6.190607e-05,0.01753421,-0.008152622,-0.012168197,0.011503698,-0.0068200496,0.0026169126,-0.027280198,-0.0046336325,-0.04507163,0.0076238797,-0.029352292,0.012682648,0.015490694,0.017448468,-0.032153197,-0.019434819,-0.0050480515,0.012075311,0.035697192,-0.002545461,0.0027080134,-0.013304277,0.00201672,0.0371548,0.0004889965,0.007248759,-0.006562824,-0.009188668,0.03232468,0.0027401666,0.010088957,0.016491016,-0.020749528,-0.033953775,0.0079239765,-0.0035868674,0.015676469,0.03009539,0.0046229144,0.008938588,-0.02225001,0.006630703,0.006619985,0.001870244,0.015433533,0.019406239,0.0034653998,0.004419278,0.0010592692,0.024007717,0.0058661713,-0.012089601,0.031210033,-0.015619307,0.0064056306,-0.03272481,0.009138652,-5.0937135e-05,-0.004887285,-0.0057982923,0.0075738635,0.007995428,0.031495843,0.020206496,0.022164268,-0.0054124543,0.00048006503,0.010796328,-0.00881712,-0.00449073,0.004212069,-0.024807975,-0.004251367,-0.0016049802,-0.029838163,-0.006148405,-0.0019452682,-0.0029438036,0.0046657855,-0.0114465365,0.021406882,-0.001547819,0.020235077,-0.00952449,-0.009138652,0.0162195,0.01854882,0.01368297,-0.0066914367,-0.020578044,0.0046050516,-0.010646279,-0.0015737201,0.030638421,0.0035314923,0.030438356,0.0064485017,-0.0035118433,-0.0014647566,0.020978171,-0.02636562,-0.015690759,0.024779394,-0.013783002,0.00081499416,-0.012897003,0.0011271482,0.037354864,-0.0014656497,-0.01956343,-0.007938267,0.005751849,-0.015633598,-0.015133437,0.0025811868,0.00998178,-0.012018149,0.0033600088,-0.0004943554,-0.0107534565,0.0012146762,0.004294238,0.009881748,-0.018691722,-0.034268163,-0.014025938,0.040355828,0.028209068,0.001838091,-0.011532279,0.006884356,-0.0032099604,0.014526098,-0.0120681655,-0.019234754,-0.001714837,-0.0051052123,0.006302026,-0.005530349,0.00015976117,-0.005405309,0.002279304,-0.012039584,-0.0006912936,-0.016976887,0.003597585,-0.019849237,-0.00672359,0.007973992,0.0021810585,0.008931443,0.025293846,0.013232825,0.021249687,0.01527634,-0.00365296,-0.0094387485,-0.013847308,0.008209783,0.0016737523,0.014340324,0.0001113081,0.012904149,0.0305241,0.010967812,0.0017943268,-0.002245365,0.014476082,0.008102605,-0.0005827766,-0.007473831,0.013940196,-0.013361438,-0.021721268,0.019349078,-0.0029170092,-0.00974599,0.0061055343,0.028166197,-0.015404953,-0.021735558,0.022035655,0.00044433927,-0.014368905,-0.008374121,-0.017048338,-0.05053053,-0.014847631,0.0053445753,0.03661177,0.006341324,-0.01859169,0.004908721,-0.042928085,-0.0030009646,-0.008359831,0.015362081,0.005483906,-0.004973027,-0.0140759535,0.013861599,0.011046408,0.033839453,0.0020971028,0.0039512706,-0.0054088817,0.011246473,-0.032181777,-0.009603087,0.0017505628,-0.024222072,-0.010617699,-0.0015344218,-0.00090162916,-0.018677432,0.011696617,0.015819373,0.011782359,0.01817727,0.038698155,-0.01856311,0.025265265,-0.009324426,0.0015504984,0.008495589,-0.010103248,-0.0049980353,0.009117216,0.001714837,-0.018734593,-0.008195492,-0.016891146,0.010374764,0.008724234,0.023393234,-0.0032546178,0.01114644,0.032153197,0.00029697045,0.016776823,0.01228252,-0.013418599,0.010882069,-0.004780108,-3.301843e-05,-0.006741453,-0.01135365,-0.0034511094,-0.030238293,0.006241292,0.018348755,-0.023336073,0.011782359,-0.013418599,-0.023564719,0.015962275,0.0041691978,-0.020578044,0.021406882,0.00023020794,0.004326391,-0.029609518,-0.029552357,0.0017371656,0.020520883,0.0013754421,-0.0027169448,-0.012661213,-0.016948307,-0.024307813,0.020720946,-0.0007359509,-0.029037906,0.0050051804,-0.035868675,0.0010878498,0.026579972,0.013411454,-0.005633954,-0.01947769,-0.01664821,-0.045843307,-0.011875246,-0.024536459,0.011989568,0.019077562,0.026579972,0.046729308,0.0014513594,-0.012225359,0.0010824909,-0.0028491302,0.005608946,-0.0040870286,0.010517667,-0.034353904,0.012604052,0.031724487,-0.009124362,-0.005869744,-0.0056196637,-0.009374442,0.013325713,-0.0061055343,-0.01619092,-0.002761602,-0.018906077,0.007188025,-0.006712872,0.0019113288,0.033353582,0.0071987426,0.004090601,0.024736524,0.00905291,0.031381518,0.005126648,0.022207139,-0.03901254,0.018691722,-0.011417956,0.0040370123,-0.007473831,-0.0019809941,-0.009431603,-0.028123327,0.0023846952,0.0021685543,0.006937945,0.008131186,-0.011639456,-0.01751992,-0.00718088,-0.014861921,-0.00036016043,-0.019849237,-0.004819406,-0.020106463,-0.006648566,-0.035782933,0.026522812,-0.002656211,0.0043906975,-0.00809546,0.027551714,-0.008852847,-0.008924298,-0.019420529,-0.032153197,0.04089886,-0.0006421707,0.015333501,0.018706013,0.01711979,-0.017291274,0.0070915655,-0.0017978994,-0.01956343,-0.0010110394,0.024064878,0.014704728,-0.008652782,0.017648531,0.018720303,-0.0027723198,-0.02778036,0.015847953,0.0022382196,0.0029134366,-0.028180487,-0.019877817,-0.009831732,0.012782681,-0.025536781,0.0044514313,0.0032903436,-0.013818728,-0.039241184,0.041127507,-0.03281055,0.021206817,0.011875246,-0.0179915,0.007170162,-0.018477367,-0.015219178,0.020578044,0.009738845,0.013854454,0.007866816,0.011017827,0.0016290952,-0.012218214,-0.011832375,-0.0027919689,0.010889214,0.03189597,0.011668037,-0.0070987106,0.010289022,-0.005987639,0.01709121,-0.008145477,-0.018706013,0.0046800757,0.003497553,-0.009860313,0.002568683,0.0012307528,0.0005814369,-0.00557322,0.009002895,0.0039584157,-0.024922298,-0.008309815,-0.0005707192,-0.001702333,-0.008038299,-0.029052196,-0.006259155,0.0089600235,0.0009002894,0.0027258762,-0.004744382,0.00908149,-0.038155124,0.014847631,-0.014947662,-0.0024222073,-0.009574506,0.01660534,-0.023879105,-0.0019649174,0.005098067,0.0011968133,-0.015962275,-0.010596263,0.02497946,-0.00011677861,0.02223572,-0.012925584,0.020192206,0.007595299,0.011868101,-0.008409847,-0.01298989,0.0056803976,0.0040012863,0.011510843,0.019992141,0.014276018,0.013640099,0.001213783,0.02775178,0.0129684545,0.007731057,0.014297454,-0.012525455,0.041098926,-0.002934872,-0.0029795293,0.0057589943,0.0063234614,-0.005473188,0.0037226253,0.010074667,-0.012575471,-0.00032398806,0.03369655,-0.008045444,0.021892752,0.0022364333,0.020063592,-0.05784717,-0.010882069,-0.0067950417,-0.02362188,-0.020478012,0.008074025,0.020220786,-0.016934017,-0.021921333,-0.00730592,-0.0025418885,-0.033439323,-0.019334786,0.0092315385,-0.0028276946,-0.013097067,-0.011317924,0.019806366,-0.010689151,0.014483227,0.0043406812,-0.018505948,0.012496875,-0.0020560182,0.00026905973,-0.008224073,-0.03198171,-0.026594264,0.029109359,0.00881712,0.0005671466,-0.00023623666,0.0013513273,0.015947985,-0.015476404,-0.015690759,0.014297454,0.0006185024,0.03058126,-0.01756279,-0.027923262,0.006791469,-0.0030366904,-0.003665464,-0.0065949773,0.0032206783,0.01817727,0.0093672965,-0.00831696,-0.02636562,-0.012361117,0.0063234614,0.01953485,-0.022007074,0.0133828735,0.013289986,0.004101319,-0.016891146,0.001678218,-0.0075881537,-0.01954914,-0.014647566,0.017034048,-0.029952487,-0.00047827876,-0.010160409,0.0036547463,0.0063806227,0.044671502,0.0023025258,-0.013404309,0.005819728,0.0024079168,0.03323926,-0.004790826,-0.014483227,0.01343289,-0.018491657,-0.0043299636,-0.018291594,-0.002841985,-0.015462114,-0.009495909,-0.0017264478,-0.025393877,-0.03704048,0.0045443177,0.010346183,0.01389018,0.020335108,0.22990248,-0.01904898,-0.036468863,0.042385053,-0.0001738282,-0.021749848,-0.011982423,0.00203101,-0.015104856,0.006198421,0.00544818,-0.009152942,-0.0007658712,0.0033010612,-0.011760923,0.011903827,-0.044414278,-0.02785181,0.0026204851,-0.010796328,0.031009968,0.016062308,-0.00977457,-0.013497196,0.022592977,0.0070987106,-0.010517667,-0.0017300204,0.027608875,0.0032206783,-0.0047158017,-0.015833663,0.004722947,0.016505307,-0.006098389,-0.0028866422,0.007216606,-0.0185774,0.04369976,0.018305885,-0.006073381,-0.014011648,0.008895718,-0.012889858,-0.018863207,-0.021878462,-0.0025436748,0.0032653355,0.013168519,0.008509879,-0.02360759,-0.015647888,0.014890501,0.005355293,-0.0016103392,0.0021149658,0.027908972,0.0149762435,0.0046836482,-0.0061698407,0.0044728667,0.05887607,-0.023907686,0.016476726,-0.02597978,-0.018062951,-0.008052589,-0.04764389,0.0246222,0.012189633,0.028009005,-0.024693653,-0.0009485192,0.010710586,-0.01182523,-0.01803437,-0.0008685828,0.020135043,0.02130685,0.019592011,0.0026705014,0.0012852346,-0.015762212,0.0028759246,-0.0074023795,-0.031410098,0.00976028,0.0053588655,-0.033410743,-0.0036047304,0.017934337,-0.0008779608,-0.034096677,0.00406202,0.018948948,0.015462114,-0.0068307673,0.013675825,-0.00081365445,-0.004022722,-0.01250402,0.017062629,0.0067700334,0.018848917,-0.019091852,-0.007895396,-0.008795685,-0.012904149,0.006680719,-0.0019881392,-0.0033600088,-0.02322175,-0.0067521706,0.0024811546,-0.012232504,0.007595299,-0.017377015,-0.027637456,0.009831732,0.007909686,-0.014776179,-0.0035761497,-0.0017353793,0.017419888,-0.020277947,0.00081633386,-0.011396521,0.001943482,0.010096103,-0.048415564,0.0115179885,-0.024222072,-0.001368297,-0.0046907933,0.010817763,0.011317924,0.0037619236,0.0013977707,-0.021121075,0.010782037,-0.0020327964,-0.023921976,0.018834626,-0.012439713,0.014961952,-0.0057554217,0.0034528957,0.010710586,-0.005701833,0.0058411635,-0.0005926012,-0.024693653,-0.013082777,0.008216928,0.028623488,-0.027580295,-0.034068096,-0.027423102,0.010789183,-0.008238363,-0.03192455,-0.008931443,0.020192206,0.0037011898,-0.034125257,-0.012175342,-0.18748884,0.0227073,0.0065342435,-0.042470794,0.02092101,-0.0034743312,0.019091852,0.015662178,0.009581652,-0.0016496375,0.008688508,0.0044800118,-0.024336394,-0.018463077,0.013754422,-0.015333501,0.007466686,0.01903469,0.02179272,0.004805116,0.039298348,0.010517667,0.0030063235,-0.0016728592,0.024036298,-0.0042799474,-0.0014433211,-0.0027687473,0.006012647,0.0029759568,0.0069629527,-0.008359831,0.02779465,-0.003343932,0.012475439,-0.008345541,0.0017157302,0.016676791,-0.007831089,0.008659927,0.00036953844,0.049072918,0.029295132,0.015476404,-0.0007850738,-0.027608875,0.005498196,-0.03232468,-0.013425744,-0.02132114,0.026694296,-0.012875567,0.012568326,-0.0019309779,0.027980424,0.01021757,0.0118609555,-0.010017506,0.0010726664,-0.0118609555,-0.00055598235,-0.03604016,0.0051480834,-0.010331892,-0.018248724,-0.01947769,-0.031610165,0.027523134,-0.0055196313,0.01950627,-0.01529063,0.008609911,-0.0027026546,0.0084027015,0.023964847,0.008216928,-0.030752743,-0.0067986143,0.026637135,-0.023950556,0.00054928375,0.015705049,-0.013297132,0.018334465,0.01797721,0.020049302,0.0078025083,-0.011510843,-0.019820657,-0.00996749,0.03372513,-0.022492945,-0.0006694116,-0.006952235,-0.016076598,0.013089922,0.004437141,0.00580901,0.014468937,-0.011989568,0.012932729,0.015819373,-0.020092173,0.03561145,0.018977528,-0.023936266,0.0040691653,0.025693974,0.03183881,-0.015162017,-0.0114465365,0.038869638,-0.011546569,0.014326034,-0.011217892,0.04407131,-0.013111358,-0.02366475,0.015619307,0.037783574,-0.0016308815,0.007338073,0.014804759,0.012111036,-0.017019758,0.01751992,-0.09528778,-0.03272481,0.018505948,-0.0099246185,-0.020292237,0.030895647,0.008652782,-0.00052516884,-0.014204566,0.018477367,0.004419278,-0.028652068,-0.017391305,0.0041370443,0.015619307,0.027537424,-0.021878462,-0.015747922,-0.0026633563,0.02646565,0.0009851382,0.005466043,0.012375407,-0.002736594,-0.0093029905,0.023564719,-0.001188775,0.016033728,0.001188775,-0.009188668,0.007138009,-0.0076238797,-0.029981067,-0.024522169,-0.010324747,-0.01091065,-0.0036422424,-0.008574186,0.012561181,-0.032553323,0.00034810297,-0.025265265,0.028123327,-0.030352615,-0.00012392378,0.005108785,-0.024379266,0.0062019937,0.008745669,-0.017934337,-0.0007221071,-0.005505341,-0.017234113,-0.0016433854,0.026751457,-0.006705727,0.0056696795,0.0009136866,-0.01810582,-0.004923011,-0.014633276,-0.020792399,-0.021021044,0.030724162,0.015747922,0.0017594942,-0.013061342,-0.027508844,0.009467329,-0.0058804615,0.012239649,0.0171055,-0.038812477,0.00020665125,-0.013711551,-0.014933372,-0.0035565004,0.0007060305,0.02179272,-0.022921653,0.004619342,-0.012539745,-0.0016290952,-0.0024079168,0.020049302,0.01620521,0.019363368,0.007059412,-0.023321783,-0.053674396,-0.0069200816,-0.00017963364,0.01804866,-0.0126254875,-0.027951842,0.026279876,-0.0011110716,-0.0010548035,0.019777786,0.007938267,-0.020606624,-8.3174054e-05,-0.05653246,0.00063368585,-0.001454932,0.0045800437,-0.013011325,-0.012818406,-0.002365046,-0.02365046,-0.016348114,0.017777145,-0.025894038,-0.010760602,0.0022489375,-0.004887285,0.0093672965,-0.0030759887,0.020192206,-0.0044407137,0.011575149,-0.0019041835,-0.01250402,0.02042085,0.034582548,0.012861277,-0.016362404,0.028452003,-0.022592977,0.009960345,-0.004805116,-0.007338073,0.0026776465,-0.03478261,0.005108785,0.034925517,0.0044800118,-0.03055268,0.0041727703,0.013082777,0.032181777,0.0053159944,-0.020720946,-0.023436105,0.00030366905,-0.011046408,0.0028009003,0.0032099604,-0.00614126,0.0068879286,-0.0031617307,0.0022435784,0.027537424,0.01761995,-0.009381587,-0.02637991,-0.011682327,-0.0051052123,0.005301704,-0.017034048,0.001281662,-0.015890824,0.012146762,0.012811261,0.033382162,-0.01804866,-0.0011351863,0.0050480515,-0.0045157378,-0.009938909,0.040727377,-0.03606874,-0.0038047945,0.004190633,-0.0010637349,0.011089279,0.0009503055,-0.017834306,-0.019777786,0.0305241,-0.007609589,0.012432568,0.007981137,-0.010760602,-0.021564074,0.030867066,0.0063306065,-0.0048372694,-0.017234113,0.012632633,0.010610553,-0.008188347,-0.026594264,0.012675503,0.016991178,0.006394913,0.024879426,0.020749528,0.0023793362,-0.011325069,0.026522812,-0.012947019,0.021392591,0.010903505,-0.006630703,-0.00765246,0.003367154,0.013568647,-0.011689472,-0.03201029,-0.008445573,-0.010446215,0.014183131,-0.0126897935,0.030809905,0.020978171,-0.0371548,-0.0051802364,-0.013568647,-0.007816799,-0.029580938,0.007298775,0.0045478903,0.009403023,0.0024740095,0.022507235,0.028094746,0.026651425,0.014661856,-0.0015067344,0.02775178,-0.011882391,-0.027594585,0.00065780076,-0.0021524779,0.00041910794,-0.019406239,-0.011739488,0.014154551,0.029723842,-0.048558466,0.076824695,0.023493266,-0.013282841,-0.005926905,0.008538459,0.031495843,0.008238363,0.00055866176,-0.0153906625,-0.0399557,0.010682005,0.0051123574,0.0045800437,-0.02966668,-0.014090244,-0.019234754,-0.0061198245,-0.0014227788,-0.0003333661,-0.025522491,0.028209068,-0.010003216,0.001943482,-0.009095781,-0.014861921,-0.010789183,0.040412992,-0.0199064,0.010038941,-0.054446075,0.002606195,0.014861921,-0.017691404,-0.024079168,0.0153906625,-0.009495909,0.009245829,0.022435784,0.030038228,0.0060662357,0.0070558395,0.01526205,-0.009324426,-0.021192526,-0.004437141,0.010667715,-0.01659105,0.0033528635,-0.021506913]', 'get all recipes', '{"mem_type": "recipe", "custom_id": "83ab2323-e9cc-42c5-bd2d-a68b76146a95"}', '83ab2323-e9cc-42c5-bd2d-a68b76146a95', 'bc542ac2-5bb5-4a3a-b31d-e6c8696589fb'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.018965894,-0.014102844,-0.022498757,-0.00745906,-0.005281415,0.0041908044,0.00043132747,-0.041164286,-0.023886155,-0.035242807,0.015747698,-0.0062576006,-0.015118363,0.004376745,-0.012064654,-0.0008130411,0.018279346,0.0033236798,0.0061503276,-0.021940935,0.016105276,0.018150618,0.023814641,-0.027419018,-0.011056286,-0.011199317,0.0017789465,-0.01880856,-0.017206613,0.005510264,0.0008961778,-0.008767792,-0.0021311599,-0.030293938,-0.0017208401,-0.003584711,-0.011492531,-0.0034881653,-0.004934565,0.0043981993,0.014775089,-0.01765001,-0.0010110495,0.011850107,-0.010863194,0.006143176,0.002034614,0.0012068229,-0.009232643,0.0014535512,0.021511843,0.007190877,-0.010012161,-0.018851468,0.008109851,0.026517924,0.0027783746,0.027562048,-0.003994137,-0.0034988928,0.019752564,0.03155261,-0.048315827,0.008438821,0.00061101,-0.008581853,0.005560325,-0.01468927,-0.010462708,0.008689125,0.006500753,0.0106629515,-0.0082528815,9.2858325e-05,-0.0018021889,-0.01255811,0.011914471,0.015433031,-0.0013882933,0.0010316102,0.019824078,-0.013216052,-0.0139097525,0.03424159,0.0041085617,0.025373677,-0.0028552539,0.019094622,-0.0015170212,-0.008910824,0.015647577,0.019309167,-0.0021597662,-0.020739477,-0.018694134,-0.005917902,-0.02116857,0.025960103,-0.010784527,-0.030408364,-0.026861198,0.0060394784,-0.027733685,-0.0101766465,-0.037788756,-0.0026603742,-0.008095548,-0.020839598,0.030580001,0.014589149,-0.01551885,-0.0016672036,0.00986913,-0.026060225,-0.0075162724,-0.0166774,-0.027404714,-0.03961955,-0.028506052,-0.03252522,0.01269399,0.017592797,0.017135099,-0.017549887,0.01306587,0.013401993,-0.026932713,-0.0024941007,0.00783094,0.013566478,0.03229637,0.008903672,0.023743125,0.0070049367,-0.033297587,0.017135099,-0.0031538308,0.008968036,0.015404425,-0.00576772,-0.00023242517,0.024587007,-0.029693209,-0.0009270188,-0.012436534,0.03610099,0.0020274627,0.004855898,-0.012672535,-0.012872779,0.0054387487,-0.024515491,0.01913753,-0.0108774975,0.011850107,-0.006500753,-0.010834589,0.0077451216,-0.026403498,-0.006690269,0.014510482,-0.014846604,-0.000799632,-0.02329973,-0.010362587,0.030723032,0.0291926,-0.0122577455,-0.0035149837,-0.007888152,0.0038081969,0.015905032,-0.021526147,0.009103915,0.0026264044,-0.0009770796,0.0044732904,0.013401993,-0.009790463,0.03178146,-0.025559617,-0.015804911,0.028720599,0.017034978,-0.017292432,-0.026832592,-0.0029786178,-0.00051938085,-0.039505128,0.00085773825,0.015876427,0.005839235,0.0061288727,0.014775089,-0.6426091,-0.00940428,0.014889514,0.0012390049,0.021611964,0.036673114,-0.009561614,-0.011900169,-0.0088750655,0.0037795908,-0.007895304,2.6902095e-05,0.008510337,-0.00815276,0.024873069,-0.01649146,0.0045412304,-0.019938504,-0.006582996,0.038246457,-0.02913539,0.02232712,0.00068923,0.008789247,0.0046735336,-0.0075591817,-0.010355435,-0.042794835,-0.012028896,-0.0018012951,-0.026117437,0.03080885,-0.020625051,-0.01955232,0.046170365,0.0031055578,-0.023385547,0.010326829,0.023814641,0.04925983,-0.018465286,-0.00889652,0.034584865,0.010455556,-0.019924201,0.00071247254,0.029779028,0.029521571,-0.015461637,-0.0031413154,0.01626261,-0.008381609,-0.015433031,-0.0013596872,0.027004229,-0.0062111155,0.022541665,-0.027404714,0.013437751,0.005556749,0.016434247,0.01630552,-0.017678617,-0.00551384,-0.009468644,0.007097907,-0.0044375327,0.0017565979,0.00077638944,-0.03281128,0.0069799065,0.005435173,0.018851468,0.023828942,0.00017465411,0.00035735368,0.028191384,0.00632554,-0.007451908,-0.0010146252,0.001019095,-0.0017369312,-0.02621756,-0.019037409,0.026203256,0.018322255,-0.010519921,-0.018737044,0.0050239596,0.015747698,0.0035686202,0.0101766465,-0.01107059,-0.004165774,-0.015304303,-0.0066402084,-0.021197176,0.021754995,0.023886155,-0.036215417,-0.00059670693,0.0031091336,0.026632348,-0.0022062513,0.016505763,0.013087325,-0.0061825095,0.031295154,0.016477156,-0.008639065,0.0060108723,-0.009854827,-0.011657016,0.0013355508,-0.0039869854,-0.03598657,0.0057748714,-0.00319674,-0.017292432,0.0063827527,0.035786323,-0.011821502,0.008703428,-0.0017717949,-0.0066974205,0.024958886,-0.0042837746,-0.0039512278,-0.007316029,-0.0045233513,0.04087822,-0.0067296023,0.0012801263,-0.012722596,0.00470214,0.0076235454,0.004383896,-0.014646362,0.019809775,-0.029779028,0.022942152,0.013316174,-0.0040012887,-0.009189733,0.009847675,-0.008209972,0.026861198,0.00175481,-0.027876716,-0.011063438,0.012036048,0.010434102,-1.4568476e-05,-0.0024011307,0.031667035,0.0069763307,-0.0016734612,-0.009947797,-0.007037119,-0.023728821,0.0068833604,0.015504546,-0.0038975913,-0.0050990507,0.018779954,-0.03109491,-0.012980051,0.0035346504,-0.007881001,-0.028949449,0.03455626,-0.03035115,-0.012050351,0.02646071,-0.01566188,0.037702937,-0.03358365,0.0099835545,0.009297007,0.0047986857,0.001267611,0.019609533,0.00039892204,0.015919335,-0.0018397346,0.0119073205,-0.0013292931,0.030723032,-0.017406857,0.01843668,-0.029578784,0.0061324486,0.020067232,-5.15414e-05,0.009654583,0.0024172217,-0.008024032,0.021611964,-0.01315884,-0.008324397,0.015204182,-0.0035543172,0.0020256748,-0.02348567,-0.0068261484,-0.036730327,-0.00078443496,-0.027790898,0.010741618,0.011864411,0.024772948,-0.034298804,-0.021769298,-0.0046306243,0.0063398434,0.036730327,-0.00032830055,-0.003665166,-0.020882508,0.009583068,0.03140958,-0.0026031618,0.010856044,-0.001364157,-0.006268328,0.03035115,-0.00050552475,0.006761784,0.007752273,-0.013044415,-0.030007876,0.020810992,-0.010133737,0.01640564,0.035929356,0.0025048282,0.009661735,-0.024315247,0.008538943,0.0097690085,0.0061181453,0.02524495,0.016562974,0.0074948175,-0.0053064455,-0.004859474,0.010755922,0.011964533,-0.013952661,0.0352142,-0.01255811,0.006865482,-0.03738827,0.0076163937,0.00097529177,-0.006093115,-6.648701e-05,-0.003259316,0.017764434,0.030236727,0.026517924,0.02729029,0.005202748,0.0070621492,0.014424663,-0.0117714405,-0.008302942,0.014174359,-0.02033899,9.241135e-05,0.006250449,-0.031466793,0.005910751,-0.015418728,-0.0058356593,-0.0025441616,-0.009997858,0.021440327,-0.0012354292,0.011242227,-0.012894233,-0.019909898,0.0194522,0.01450333,0.014846604,-0.007351787,-0.026818288,0.005227778,-0.00632554,0.0030125878,0.022041056,0.008488882,0.036673114,0.0018969469,-0.0038153485,0.0042658956,0.037273847,-0.021054145,-0.012500898,0.021097053,-0.022713302,-0.008646216,-0.013781024,0.0065758443,0.035614688,-0.0013427023,-0.009854827,-0.009761857,0.003711651,-0.016391337,-0.013173143,0.013280417,0.0053922636,-0.00092165516,0.0023886156,-0.008839308,-0.012078957,0.0052563846,0.008989491,0.015490243,-0.016362732,-0.047715098,-0.016949158,0.04522636,0.016062368,0.004963171,-0.013173143,0.00049122167,-0.0016493248,0.017292432,-0.015204182,-0.020067232,-0.011499682,-0.00435529,0.0031377398,-0.010233859,0.0069548762,-0.0030751638,0.003225346,-0.015347213,0.0014651725,-0.019394986,-0.0029768301,-0.024157913,-0.0058177807,0.0034738623,-0.002851678,0.013373386,0.029607391,0.0034094984,0.027090047,0.011900169,-0.0075591817,-0.019838382,-0.014553391,0.0060359025,0.006758209,0.017492676,0.008109851,0.013838237,0.035242807,0.014431815,-0.005124081,0.01033398,0.005842811,0.007816637,0.0015965821,0.000548434,0.017220916,-0.010498466,-0.020167353,0.026146043,0.005295718,-0.0050668684,0.0052349297,0.027619261,-0.015261394,-0.014875211,0.020167353,0.0042694714,-0.021325903,-0.018379467,-0.025759859,-0.05300724,-0.016834734,0.011428166,0.03020812,-0.0018209618,-0.010691558,0.0016850824,-0.053436335,-0.00040316826,-0.0071980287,0.016162489,-4.5814577e-05,-0.008503186,-0.019237652,0.018522497,0.006221843,0.031295154,0.0012005654,0.002368949,-0.0053064455,0.011993138,-0.027905323,-0.010856044,0.008581853,-0.018851468,-0.0140456315,0.00078085915,0.0021186448,-0.022198392,0.014109995,0.023013666,0.013802479,0.021011235,0.032410797,-0.010326829,0.02538798,-0.01116356,0.00745906,0.013487811,-0.013602236,-0.0030608606,0.0030447696,0.0037831666,-0.020825295,-0.005013232,-0.018365163,0.016348429,0.0060823876,0.015404425,-0.009389977,0.010949013,0.03776015,0.00257098,0.015762001,0.008453124,-0.019852685,0.009797615,-0.004022743,0.0068189967,-0.014245875,-0.010512769,-4.5479348e-05,-0.02251306,0.010276768,0.0068690577,-0.025545314,0.010970468,-0.006361298,-0.023199607,0.014989635,-0.003711651,-0.019709654,0.026775379,-0.020639354,0.0058034775,-0.033926923,-0.017821647,-0.006679542,0.029664602,0.0048308675,-0.011442469,-0.017707221,-0.015962245,-0.01644855,0.017478373,0.0043445625,-0.02534507,0.011571198,-0.032553826,0.006093115,0.03455626,0.023657305,0.00019946102,-0.01375957,-0.019280562,-0.042051077,-0.01325181,-0.018851468,0.010519921,0.018708438,0.02840593,0.049746137,-0.009454341,-0.011399561,-0.012479443,-0.002086463,0.010248162,-0.005377961,0.007097907,-0.017492676,0.011599803,0.034813713,-0.006379177,-0.0066938447,-0.014202965,-0.00632554,0.01640564,-0.008231427,-0.0148036955,-0.010262465,-0.016033761,-0.0037402574,0.0035471655,0.010813134,0.029693209,0.008159911,0.0014794755,0.018937288,0.008867914,0.0194665,0.0029267692,0.03924767,-0.030751638,0.015490243,-0.014832301,-0.0029857694,-0.0075591817,0.001268505,-0.012500898,-0.034956746,0.0020274627,0.0007848819,-0.0005707826,0.012214837,-0.007473363,-0.018994499,-0.0038975913,-0.018922985,-0.008310094,-0.028248597,0.00041635393,-0.026517924,-0.006397056,-0.029893452,0.034212984,-0.0020936143,0.004920262,-0.008546094,0.028949449,-0.0063863285,-0.0086033065,-0.028749205,-0.04554103,0.038704153,0.018708438,0.027204473,0.021526147,0.008167063,-0.019194743,0.0018048708,0.000704427,-0.017535584,0.006597299,0.026660955,0.0027694353,-0.016605884,0.011092044,0.006429238,0.0012247019,-0.02909248,0.014388906,-0.00026416013,0.0062146913,-0.027376108,-0.013645145,-0.016505763,0.014946726,-0.032496613,0.007069301,0.013630842,-0.010548526,-0.047228795,0.033440616,-0.03804621,0.024014883,0.012329261,-0.01125653,0.013237507,-0.01362369,-0.014975333,0.018965894,0.006504329,0.017006371,0.0062075397,0.007097907,-0.0054387487,-0.003481014,-0.011206469,-0.0023725245,0.020324687,0.031438187,-0.0016949158,-0.004022743,0.010412647,-0.0021830087,0.015604668,-0.008732035,-0.017349645,-0.00020661256,0.0037402574,-0.0061860853,0.0076092426,-0.0018012951,-0.0028123446,-0.009604523,0.005156263,0.0023921912,-0.031895883,-0.010026464,-0.0058678417,-0.0045018964,-0.007255241,-0.024587007,-0.0010441254,0.0130158095,0.0073589385,-0.002867769,-0.0022849182,0.001222914,-0.034642078,0.020653658,-0.009375674,-0.0050990507,-0.011921623,0.01644855,-0.03163843,0.018551104,0.007140816,-0.0014857332,-0.013401993,-0.006708148,0.021740692,0.00076655607,0.014403209,-0.016105276,0.015218485,0.002149039,0.016963461,-0.006565117,-0.02141172,0.017206613,0.010248162,0.005095475,0.020696567,0.0004259638,0.023600094,0.014860908,0.022269906,0.023557184,-0.00065749505,0.014253026,-0.020925416,0.041450348,-0.011349499,-0.01213617,0.00072811655,-0.0022616757,0.0042551686,0.0029249813,0.00783094,-0.01250805,0.006093115,0.02904957,0.011621258,0.021240084,-0.00088768534,0.011127802,-0.048716314,-0.010927559,-0.0044125025,-0.02983624,-0.02232712,0.008589004,0.022842031,-0.018908681,-0.029607391,0.0032324977,-0.0030018603,-0.033984136,-0.017306736,0.0045984425,0.0024082824,-0.017292432,-0.014703574,0.01843668,-0.018422376,0.016977765,0.014775089,-0.017034978,0.015990851,-0.0005980478,0.0036901964,-0.012078957,-0.037445482,-0.027619261,0.024072096,0.006146752,0.012164775,-0.00014068426,-0.005406567,0.01019095,-0.0236287,-0.015919335,0.016334126,0.00576772,0.023528578,-0.019638138,-0.02135451,0.0049274135,0.0034130742,0.0075734844,-0.0043481383,0.01167847,0.016949158,0.0017905678,-0.00639348,-0.019538017,-0.017549887,0.00064632075,0.017535584,-0.024529794,0.011800047,0.014024177,0.0076235454,-0.015762001,-0.0019327046,-0.015089757,-0.024787249,-0.009690342,0.009139673,-0.031352367,-0.00048183525,-0.0082528815,-0.005735538,0.0023582214,0.04425375,0.0021704934,-0.012550959,0.004562685,0.00023488351,0.025073312,-0.001957735,-0.02205536,0.011449621,-0.025416587,-0.006679542,-0.011328045,-0.004559109,-0.026603742,-0.011764289,-0.007162271,-0.027447624,-0.03987701,0.009425734,0.0048487466,0.016048064,0.023600094,0.22278489,-0.030036483,-0.040992647,0.032954313,-0.0018048708,-0.02335694,-0.014345996,0.0058034775,-0.00880355,-0.004040622,-0.0065150564,-0.011642713,-0.0045662606,0.0034506198,-0.01913753,0.02145463,-0.045197755,-0.022942152,0.0036526509,-0.0047271703,0.026432104,0.0105270725,-0.01551885,-0.011156408,0.027090047,0.0002710882,-0.008417367,-0.0023278275,0.023242516,0.016520066,-0.008674823,-0.020224566,0.0075663333,0.015447334,0.0021847966,0.0029088904,0.0044089267,-0.008031184,0.039304882,0.010169495,-0.014775089,-0.009468644,0.012615323,-0.0068726335,-0.026703864,-0.020038625,-0.00820282,-0.0026871925,0.019723957,0.016691703,-0.026875501,-0.0048058373,0.013130234,0.004998929,-0.009783312,-0.0025155554,0.034642078,0.020167353,0.004845171,-0.0150182415,-0.004530503,0.054408945,-0.022956455,0.015733397,-0.021197176,-0.016362732,-0.010620042,-0.04531218,0.021468934,0.0133662345,0.031380974,-0.023042273,-0.0056425678,0.017020674,-0.0029893452,-0.017878858,-0.0059500844,0.017964678,0.022441544,0.019266259,0.0013364448,0.016562974,-0.019051712,-8.950604e-05,-0.008209972,-0.033326194,0.013144537,0.0038225001,-0.037331056,-0.0063040857,0.004294502,0.0015572486,-0.032353584,0.005345779,0.020510627,0.014660664,-0.0055710524,0.011943078,0.00090914,-0.0002108588,-0.005889296,0.015547455,0.0067760875,0.020868205,-0.017764434,-0.017549887,-0.0042658956,-0.00912537,0.007473363,-0.003368377,-0.0028230718,-0.029779028,-0.0077451216,0.0014553391,-0.016205398,0.003994137,-0.01584782,-0.013444901,0.0077022123,0.017020674,-0.010090828,-0.005910751,0.0047772313,0.016062368,-0.020238869,-0.0037509846,-0.007816637,-6.4196276e-05,0.0022044634,-0.055610403,0.013709509,-0.021826511,0.004891656,-0.0012059291,0.017092189,0.010691558,-0.0010396556,0.0039726826,-0.030379757,0.004455412,0.0036866206,-0.020138746,0.02339985,-0.007816637,0.010047919,-0.013788176,-0.0008814277,0.0060251756,-0.013030113,0.0027712232,0.0079811225,-0.028091263,-0.014403209,0.00674033,0.023242516,-0.023843246,-0.033812497,-0.03020812,0.014946726,-0.004591291,-0.032239158,-0.012515201,0.019380683,0.011842956,-0.03504256,-0.011428166,-0.18639784,0.015962245,0.0020167353,-0.049460076,0.022441544,-0.005231354,0.01640564,0.0081742145,0.0071336646,-0.007040695,0.013552175,0.004591291,-0.03261104,-0.03504256,0.002524495,-0.015490243,0.00773797,0.019495107,0.022198392,0.012207685,0.053350516,0.005610386,0.006965603,-0.0093613705,0.016748914,-0.011606955,-0.0042587444,-0.007223059,0.0053279,0.007966819,0.00685833,-0.0059465086,0.03349783,-0.0033272556,0.016706007,-0.012064654,0.004180077,0.01750698,-0.005424446,0.011378106,0.0049595954,0.054551974,0.031295154,0.018007586,0.0010047918,-0.026446408,0.011392409,-0.036158204,-0.0039226217,-0.022698998,0.021468934,-0.018236436,0.011335197,-3.3103825e-05,0.026117437,0.011099196,0.010026464,-0.01551885,0.0034077105,-0.0041335924,-0.0009806554,-0.026575135,0.015804911,-0.008631913,-0.02445828,-0.020911112,-0.024243733,0.019380683,0.007451908,0.015947942,-0.015461637,0.015576062,-0.008209972,0.015561759,0.020396203,0.011406712,-0.027504837,0.0050990507,0.016663097,-0.030236727,0.0019040984,0.0152900005,-0.008438821,0.02631768,0.014195814,0.023700215,0.0044732904,-0.005217051,-0.020038625,-0.009833372,0.02946436,-0.02553101,-0.00074644235,-0.002520919,-0.014875211,0.0057534166,0.007537727,0.015433031,0.023013666,-0.015905032,0.0050382623,0.012200533,-0.024615614,0.03512838,0.020453414,-0.0222413,-0.0072051804,0.033526435,0.030093696,-0.023099486,-0.016105276,0.029020963,-0.006550814,0.009332764,-0.0065579657,0.035929356,-0.006060933,-0.013580781,0.025173433,0.037016388,0.006043054,-0.002649647,0.012415079,0.0041765017,-0.017135099,0.017707221,-0.09943506,-0.034127165,0.019266259,-0.015146969,-0.02714726,0.03484232,0.014253026,-0.005689053,-0.016777521,0.017821647,0.0026424953,-0.029693209,-0.01959523,-0.0007142604,0.023728821,0.026246164,-0.022770515,-0.016734611,0.006518632,0.02743332,-0.0063362676,0.0038225001,0.012922839,-0.0038117727,-0.014295936,0.028935146,0.00033455814,0.020911112,0.0066402084,-0.010498466,0.009997858,-0.0068869363,-0.017635707,-0.022584574,-0.0052242028,-0.006786815,-0.015862124,0.008353003,0.012994355,-0.029407147,-0.0024351005,-0.02422943,0.031581216,-0.032696858,-0.004351714,0.0051312326,-0.027118653,0.0090896115,0.017435463,-0.014581997,-0.006472147,-0.010291072,-0.013931206,0.0031395275,0.031009093,-0.0010566405,0.0039405003,-0.00016839651,-0.016205398,0.0005470931,-0.015590365,-0.019938504,-0.025330767,0.019824078,0.012586717,0.0012068229,-0.01408139,-0.021840815,0.0043660174,-0.0066688145,0.010763073,0.01825074,-0.03987701,-0.00074420753,-0.005535295,-0.0016636278,-0.005324324,-0.0070120883,0.025187736,-0.025259253,0.0072838473,-0.014875211,-0.002334979,-0.000720071,0.0245584,0.008538943,0.017292432,0.007931062,-0.027805202,-0.054695006,-0.014817998,0.0021400994,0.023314033,-0.0128799295,-0.02904957,0.025473798,-4.1484538e-05,-0.0026997076,0.018293649,0.010126586,-0.026603742,0.0010137314,-0.05729817,0.007094331,0.00062888884,0.0008130411,-0.015533153,-0.00940428,-0.0010047918,-0.035071168,-0.027776595,0.0203819,-0.031352367,-0.003665166,0.006597299,0.012872779,0.0079024555,0.0016242943,0.025559617,-0.011020528,0.013537872,-9.91718e-05,-0.016148185,0.027347503,0.03941931,0.010205253,-0.020768082,0.010949013,-0.02511622,0.014624907,-0.005124081,-0.006661663,0.0022992212,-0.031752855,0.0016573702,0.036301237,0.007040695,-0.024057792,0.0064328136,0.01348066,0.02923551,0.003198528,-0.019766867,-0.023900459,0.0090896115,-0.011034831,-0.013208901,0.008317245,0.0010754133,0.00551384,-0.003933349,0.010898952,0.026832592,0.01371666,-0.0013873995,-0.034642078,-0.005231354,-0.008553246,0.011499682,-0.008381609,-0.0058070533,-0.0152327875,0.016205398,0.0074805147,0.033240374,-0.016663097,-0.011456773,0.004659231,-0.0003182437,-0.01584782,0.04456842,-0.03650148,-0.011513985,0.009490098,-0.0035972265,0.008681973,0.0028945873,-0.015690487,-0.023428457,0.030007876,0.0006065403,0.007083604,0.0031538308,-0.004165774,-0.021712087,0.03306874,0.010913256,0.005703356,-0.016748914,0.011614107,0.007838092,-0.008124153,-0.029779028,0.02251306,0.012107563,0.002290282,0.021325903,0.021898026,-0.004762928,-0.009933494,0.030379757,-0.0058356593,0.026646651,0.015447334,-0.0025191312,-0.0061968123,-0.0050311107,0.011692774,-0.013981268,-0.03858973,-0.0067796633,-0.008224275,0.010798831,-0.0099048875,0.027747989,0.02154045,-0.036215417,-0.009647433,-0.0113423485,-0.009811917,-0.025716951,0.013709509,-0.0018665529,0.007580636,3.033819e-05,0.015833518,0.02325682,0.029664602,0.01663449,0.002304585,0.03192449,-0.009561614,-0.011220772,-0.0033093768,-0.005735538,-0.014932423,-0.025688345,-0.013981268,0.011492531,0.013022961,-0.053951245,0.08312954,0.022498757,-0.014496178,-0.0076736063,0.007988274,0.036844753,0.02520204,0.0069763307,-0.014560543,-0.036844753,0.013630842,0.0025119798,0.004298078,-0.02923551,-0.010569981,-0.016148185,-0.0064399648,-0.009368522,-0.010233859,-0.018007586,0.014417511,-0.004433957,0.0030483454,-0.010319677,-0.018293649,-0.015719093,0.03552887,-0.016033761,0.014489028,-0.056697436,0.008717732,0.016048064,-0.024200823,-0.022670394,0.011764289,-0.016162489,0.013101628,0.009082461,0.023314033,0.011728532,0.0043481383,0.015733397,-0.01218623,-0.0013391265,-0.005628265,0.009633129,-0.014167208,0.004716443,-0.02164057]', 'retrieve all recipes', '{"mem_type": "memory", "custom_id": "d35775fd-db0b-47c1-84c0-2c5006c23fbe"}', 'd35775fd-db0b-47c1-84c0-2c5006c23fbe', '93c108d1-68bb-4193-900a-a92d25cd8a2f'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.027438797,-0.0070874356,-0.006983919,-0.009978999,-0.0042338283,0.015734522,-0.01821892,0.007014974,0.0045202244,-0.020178834,0.0037645532,0.021917913,0.013257025,-0.0071357433,-0.009461416,0.030309657,0.0042545316,-0.021503845,0.00961324,-0.016493643,-0.01846736,0.006235149,0.022318177,-0.008930031,-0.005203434,0.0108830435,0.013843618,-0.03975037,-0.0028346293,-0.0006607809,0.010807131,-0.005658907,0.00892313,-0.02502341,-0.006059171,-0.007218557,-0.0020185735,0.0021755737,0.014147267,-0.0068286443,0.01821892,0.0013646936,-3.501772e-05,-0.0037058939,-0.00075265183,0.018246524,0.026417432,-0.0015449851,-0.0146855535,0.032987285,0.02227677,0.028128907,-0.008874822,0.00094458886,0.020082219,0.013049991,-0.00090577017,-0.017887667,-0.011055572,-0.027866665,-0.0023636287,0.0033608386,-0.017059533,-0.0027466402,-0.030199239,-0.039971206,-0.017294172,0.005041258,0.011580056,0.00505506,0.02346376,0.041351426,-0.0044270596,-0.004399455,0.0106760105,0.0016726556,-0.013898827,-0.02353277,0.012449595,0.008888625,0.022111144,-0.022193957,-0.012580716,-0.0011567979,0.019198876,0.004523675,0.0050585107,0.035140432,-0.009992802,-0.010503483,0.0003157256,0.006107479,0.017694436,0.00026784916,-0.022414792,-0.01054489,-0.010434472,0.02215255,0.02208354,-0.03693472,0.0055243354,0.007632623,-0.027480204,-0.009516625,-0.034533132,0.017542612,-0.0061626877,-0.004754862,0.0040958063,-0.018605381,-0.0305857,0.018149909,0.009765064,-0.018149909,-0.0072392602,-0.044277497,0.011221198,-0.01965435,-0.0029674754,-0.01260832,0.0013336387,0.014795971,-0.00045029717,0.004437411,0.010372362,0.023560375,-0.0106069995,-0.050460886,-0.004137213,-0.011414429,0.0011240176,-0.004972247,-0.013574475,-0.012214958,-0.025175234,0.03519564,-0.02115879,0.017501205,-0.017363183,-0.021793691,-0.0049377414,0.028073698,0.019557733,-0.009813373,0.0019340349,0.032600824,0.007956975,-0.0004787642,-0.0025792883,-0.019999405,0.0041613667,0.0015139302,0.019530129,-0.0053138514,-0.013036189,0.025244245,-0.0030054315,0.004713455,-0.011614561,0.0034488277,-0.023118705,-0.0075843153,0.017183753,0.026500247,0.007950074,0.031413835,-0.009806472,-0.010820934,-0.013125903,0.012283969,-0.00025318432,0.024816377,-0.021172592,-0.009523526,0.023436155,0.014174871,0.00617649,0.011869902,-0.027687237,-0.011345418,-0.023836419,0.01897804,0.030751327,0.004030246,-0.02676249,-0.0068942048,0.018550172,-0.030558096,0.004516774,-0.00061635504,0.008032887,-0.0057382695,-0.007211656,0.0036265312,-0.6421893,-0.018922832,-0.011255704,-0.0063628196,0.03177269,0.013401948,0.0036023774,0.00072591007,-0.04985359,0.018356942,0.008074294,0.02615519,0.0023101452,-0.031248208,0.0070943367,-0.021862702,-0.034726366,-0.00368174,-0.0049135876,0.030088821,0.012815353,0.0047583124,-0.006183391,-0.0018615733,0.005790028,-0.0076809307,0.017515007,0.0026120686,-0.0043511475,0.028957041,-0.018881425,-0.0019271338,0.005513984,-0.00985478,0.04193112,-0.008571173,-0.024167672,0.0218489,0.022442397,0.048638996,-0.020661911,0.00942691,0.009392405,0.016935313,-0.012428892,0.015803533,-0.013677992,-0.018591579,0.0129533755,-0.020482482,-0.003195212,0.0020893097,-0.010765725,0.0015889796,0.0013224244,0.0054863794,-0.0010506933,0.0032814757,0.0058624893,-1.4607565e-06,-0.016438434,-0.0019547383,-0.029398711,0.0042614327,-0.006611259,0.01092445,-0.02346376,0.0057520717,0.007184051,-0.0018460458,-0.005124071,0.019888988,-0.016880104,-0.028791415,0.03193832,0.018494964,0.014561334,-0.029729964,-0.009840977,0.0059315003,0.022801254,-0.008060492,-0.020316856,0.0027587172,0.023629386,0.011090077,-0.038673796,-0.0011671495,0.00961324,0.005103368,0.001821892,0.017073335,0.008709196,-0.029315898,-0.01853637,0.044139475,-0.0070184246,0.009654647,0.022221562,-0.031248208,-0.016300412,0.014029948,-0.0060557206,-0.009827175,0.035471685,0.025906751,-0.023380946,0.00013748297,0.031275813,-0.030420074,-0.018522568,0.00081346784,-0.027756248,-0.013188013,0.016493643,-0.032656033,0.018646788,0.0059591047,0.007232359,0.0030589153,0.031027371,-0.009999703,0.02502341,-0.018674392,0.012277068,0.018425953,0.010379263,-0.0060074124,-0.010041109,0.010220538,-0.0011895781,0.01947492,0.020178834,-0.019005645,0.027811456,0.0025568597,0.0062420503,0.0108140325,-0.023063496,-0.015527488,-0.00014190399,0.023546573,0.0049894997,-0.0035316409,0.011980319,-0.018149909,-0.0040923557,0.00315208,0.0031934867,0.0010912374,-0.016383225,-0.011379924,-0.0006944238,0.0010084241,0.017321777,0.0037265972,0.0120562315,-0.0155136855,-0.00066681934,-0.026859105,-0.0064939405,0.0052689943,-0.019171271,0.0013414024,0.026472641,0.007943173,0.0021427933,0.030613305,-0.0014837377,-0.021200197,0.011724979,-0.014057552,-0.03894984,0.029674755,-0.0059315003,0.017749645,-0.023988243,-0.022055935,0.009633943,-0.02022024,0.024112463,0.013332937,-0.009357899,-0.033705,0.007059831,0.011034869,0.0051309722,0.009192273,-0.0033798167,0.010082516,-0.021669472,0.01410586,-0.0027690688,0.00686315,-0.01404375,0.017183753,-0.031275813,0.021296812,0.019971801,0.027673434,0.035775334,0.0137193985,0.011614561,0.02514763,0.020606702,-0.030613305,-0.001628661,-0.03456074,-0.0025758378,0.017321777,0.016590258,-0.045712925,-0.006542248,-0.014588938,-0.00405785,0.0023929584,0.012083836,-0.00923368,-0.0343399,-0.014630345,-0.009813373,-0.025244245,0.021296812,-0.008660888,-0.0065111932,-0.01584494,0.0012723914,0.015817335,0.01097966,-0.017114742,0.0038956744,0.016093379,-0.019930394,0.009192273,0.028377347,0.012822255,0.012691134,0.0015648258,0.012642826,0.008226118,0.024843981,0.0004494345,0.0077223373,-0.013526168,-0.0033832672,0.0019495625,0.013201815,-0.0024671454,-0.0011197045,0.020289252,-0.008012184,0.023256727,-0.013505464,0.004575433,0.022442397,-0.019005645,-0.008757504,0.0011197045,0.0368243,0.03138623,0.02302209,-0.008281327,0.008750603,-0.0058521377,-0.011683572,-0.024912992,-0.016397027,0.0037749049,-0.016383225,-0.009033548,-0.005065412,-0.01584494,0.01048278,-0.019295491,-0.0014526828,-0.027107544,0.016548852,0.006725128,0.0143543,0.018384546,-0.016949115,-0.023864023,0.031800296,0.00073496776,0.0012792925,-0.03364979,-0.022980683,0.009799571,-0.005231038,0.0047514113,0.016797291,0.010689813,0.0355545,-0.01772204,-0.008288228,0.020427274,0.0149754,-0.006414578,-0.00075523974,0.025299454,-0.010275747,0.0101929335,-0.008536668,-0.019668153,0.039474327,-0.0021255405,-0.008198514,-0.020744724,-0.011262605,-0.0071564466,0.003950883,0.00048048949,-0.025989564,0.0054587745,0.0027483655,-0.003526465,-0.022552814,0.0062109954,0.030226843,0.0006267067,0.0035782233,-0.030999767,-0.042676438,1.529835e-05,0.063931845,0.028487764,0.00455473,-0.0148235755,-0.017349381,0.0010101494,-0.033732604,-0.022042133,0.027535412,0.00355752,0.0032383439,-0.0053276536,-0.0038404653,-0.0007332425,0.013319135,-0.003550619,-0.0077568428,-0.01591395,0.015803533,-0.004206224,-0.008039788,-0.007639524,0.010600098,0.013312234,0.013595179,-0.0062938086,0.033622187,0.03936391,0.016866302,-0.0119182095,-0.012470298,0.023229122,0.012194254,0.013774607,-0.006473237,0.02409866,0.0143543,-0.0015389466,0.014257684,-0.0057244673,0.011511045,0.006514644,-0.0017701336,-0.009785768,0.008702295,0.010372362,0.003968136,0.018370744,-0.020137427,0.0077913487,0.004168268,-0.016507445,-0.021296812,0.0002154439,-0.021075977,0.017004324,0.0021393427,-0.011600759,0.00985478,-0.010186032,-0.019461118,-0.008184711,0.031745087,-0.026431235,-0.00022256066,-0.012346079,-0.024968201,-0.02901225,-0.004723807,0.009323394,-0.02865339,-0.029867986,-0.018205117,0.010641505,0.007998382,0.0047790157,0.002322222,-0.0027104092,0.0063110613,-0.025106223,-0.030420074,-0.0050826645,-0.0017701336,-0.011145286,-0.01603817,-0.010144626,-0.011186693,0.004088905,-0.011842297,0.03770764,0.0153756635,-0.028432555,0.013767706,-0.005886643,-0.025727322,-0.009281987,0.00792247,0.0138574205,0.008619481,0.004423609,0.0041855206,-0.03486439,-0.02534086,-0.022953078,0.00042851554,0.0072392602,0.0029295194,0.006959765,-0.016811093,-0.006597457,0.029039854,-0.018067095,-0.028322138,-0.0060936767,0.0007755118,-0.009281987,-0.010917549,0.010820934,0.000627138,0.0048342245,0.0038163115,0.02034446,-0.001940936,-0.00015807846,-0.016493643,0.015141026,0.0036886411,-0.025078619,-0.017087137,-0.017059533,-0.016272807,0.024761168,-0.007956975,0.0062869075,-0.027866665,0.007218557,-0.016328016,-0.0004239867,-0.0048411256,-0.029039854,-0.009447614,0.001953013,-0.014920191,-0.006535347,-0.01135922,-0.023242924,-0.023229122,0.010186032,-0.015831137,0.001797738,0.00030364865,-0.011207396,-0.0136503875,-0.019516326,-0.019116063,-0.03894984,-0.03850817,0.017763447,0.01460274,0.031469043,0.022262968,0.03480918,0.020551493,-0.011145286,0.004175169,-0.010717417,0.019888988,-4.121119e-06,-0.027024731,-0.0056865113,0.023229122,0.01291887,0.008184711,-0.0174736,-0.007963876,-0.0020479031,-0.0048031695,-0.021020768,0.013188013,-0.030199239,-0.0039405315,0.015679313,-0.013215617,-0.018936634,-0.04187591,-0.0062109954,0.03856338,0.0018512217,0.026872907,-0.0001332776,-0.00018880994,0.019723361,0.042924877,0.0099859005,-0.0035178387,0.0047721146,-0.0008337399,-0.0255893,0.015389466,0.03420188,0.010841637,0.025175234,0.0005119758,0.0011067649,0.003183135,0.0193507,0.014630345,0.030447679,-0.0072668646,-0.02564451,-0.0076188208,-0.019364502,-0.016065774,0.0006241188,0.029840382,0.012836057,-0.018329337,0.01628661,-0.00051154447,-0.018646788,-0.008067393,-0.011096979,0.038370147,-0.011869902,0.025244245,0.012332276,0.015279048,-0.015458477,0.008060492,-0.027107544,0.0026914312,0.027162753,0.04648585,-0.029757569,-0.015996763,-0.011317814,0.011159088,0.010827835,-0.028046094,0.011676671,0.025451278,0.019378304,-0.005086115,-0.008094997,-0.018122304,0.010344758,-0.0102619445,0.010689813,0.023201518,-0.01298098,-0.0058245333,0.011186693,-0.046541058,0.033981044,-0.02970236,-0.013836717,-0.0016019192,0.021269208,-0.018605381,0.024857784,0.00630416,0.016259005,0.0046582464,0.024402311,0.026127586,0.004378752,0.0155136855,-0.023063496,-0.0041648173,0.028046094,-0.00861258,-0.0008842042,0.018080898,0.010993462,0.023284331,0.012007924,-0.026721083,-0.017942876,-0.008391744,-0.010061813,0.023933034,-0.01954393,-1.676753e-05,-0.02651405,0.0007686107,-0.013001683,-0.017680634,0.011752583,0.0002277365,-0.004237279,-0.0069356114,0.010910648,-0.0027414644,0.012939573,0.011462737,-0.0068493476,0.0023739804,0.030088821,-0.009730559,0.016521247,0.02470596,0.010558692,-0.032932077,0.009406207,-0.027038533,-0.012635925,0.019143667,-0.019723361,-0.011124583,-0.012159749,-0.011083176,0.01828793,0.010917549,0.011538649,-0.0017356281,0.010600098,-0.015817335,-0.018757205,-0.019764768,0.015279048,-0.026058575,0.009095658,-0.008440052,-0.020137427,0.029867986,-0.029674755,-0.0045719827,0.019364502,-0.025492685,-0.006832095,0.021241603,0.026941918,-0.016466038,0.0038232126,-0.021917913,-0.012359881,-0.020882746,0.014933993,-0.008778207,0.002258387,0.036465444,0.0144095095,-0.010682912,0.0019737163,-0.027466401,-0.029564338,-0.0049687964,-0.013401948,-0.009150866,-0.009344097,0.0027794205,0.022787452,0.025699718,-0.025658311,-0.02365699,-0.023726001,-0.01784626,-0.022221562,-0.010510384,0.00673893,0.03177269,0.025768729,-0.0076671285,0.032794055,0.0010360285,-0.0005287972,0.00230842,0.0033970694,0.025796333,-0.03251801,0.025989564,0.0036713884,0.0075360076,-0.007812052,0.0064180284,0.0053759613,0.025368465,0.041599866,-0.017211357,-0.0061557866,-0.006528446,-0.006597457,0.0012801551,0.0033297837,-0.0268315,-0.031054975,0.01148344,0.006459435,0.0018080898,-0.04143424,-0.01485118,-0.02353277,-0.0145475315,-0.026983324,-0.027783852,0.0067906883,-0.018246524,-0.03039247,0.007508403,-0.008909328,0.009537328,0.023629386,0.035802938,0.016051972,-0.018149909,0.02521664,0.008647086,-0.030061217,-0.0092267785,-0.012449595,0.013008584,-0.018136106,0.032794055,-0.018964238,0.0013793586,-0.0063800723,0.0009644295,-0.03657586,0.024002045,0.006259303,-0.018177513,-0.01054489,0.0062109954,-0.016548852,0.0015216939,0.007046029,0.031551857,-0.026017169,0.022442397,-0.0067423806,0.004599587,0.0026690026,0.0022739144,0.013753904,-0.0041717184,0.03693472,0.19742684,0.0046720486,0.012553112,0.026376026,-0.0037473005,0.016714478,-0.0047479607,0.005341456,0.020510087,0.014271487,-0.016438434,0.023118705,-0.0035678716,-0.0027776952,0.011290209,-0.017625425,-0.04756242,-0.016369423,-0.031551857,-0.015610302,0.028377347,0.02284266,0.0021307163,-0.020054614,0.011697374,-0.0003023547,-0.00798458,0.0059625553,0.023491364,0.036989927,-0.0113661215,-0.013974739,0.008157107,0.021186395,-0.009330295,0.00026784916,-0.0099168895,-0.0007711986,0.024374707,-0.01660406,-0.0015838038,-0.014795971,0.023063496,-0.0092957895,0.023615584,0.0040958063,0.014906389,-0.019764768,0.025161432,-0.004044048,-0.015748324,-0.008667789,0.0031779592,0.02103457,-0.009040449,-0.007280667,0.034505527,-0.0003204701,-1.1170491e-06,-0.013112101,-0.008688493,0.025920553,0.00013748297,-0.009164669,-0.0057555223,0.0062006437,-0.029923195,0.006914908,0.017625425,-0.010103219,0.0051447744,-0.024623146,-0.0218489,-0.013816014,-0.0034281244,-0.02365699,0.02277365,0.025354663,0.03251801,0.020441076,0.0067803366,0.00742559,-0.007881063,-0.015486081,-0.013822915,-0.0299508,0.0014431938,-0.0013508914,-0.041268613,0.001001523,-0.0020858592,-0.014588938,-0.0023239474,0.012221859,-0.012925771,-0.014506125,0.013684893,0.031275813,-0.012014825,-0.0020944856,-0.010793329,0.038867027,-2.7092232e-05,-0.007943173,-0.01116599,-0.023726001,-0.013526168,-0.008584975,-0.008867921,-0.011462737,0.005017104,-0.040357668,-0.00069528644,0.00018730032,-0.025354663,0.016617863,0.0050964667,-0.037459202,0.0042614327,-0.006276556,0.0051654777,-0.011393726,0.0044719167,-0.012021726,-0.0355545,-0.0016157214,0.0034643551,-0.0029260688,-0.010724318,-0.036713883,0.02483018,-0.024540333,0.030723723,-0.012421991,0.005448423,0.020620504,-0.0009808197,-0.0162314,-0.0013094848,0.0040405975,-0.01135922,-0.0048894333,0.0124772,0.010731219,0.009475218,-0.0013603804,0.008833416,0.009806472,-0.026072377,-0.019557733,-0.0006426655,0.0009040449,0.0066733696,-0.020648109,0.035775334,-0.024567937,-0.009771965,-0.02409866,0.0153756635,0.030116426,-0.0131604085,0.019074656,0.021048373,-0.0010317153,-0.012967178,-0.001566551,-0.17755166,-0.0032763,0.02989559,-0.016051972,0.0007198716,0.010627703,0.032297175,0.0067734355,-0.006921809,0.0046478948,-0.016189994,0.0035299156,-0.045022815,0.012932672,0.012187353,0.01903325,-0.006145435,0.014740762,0.0074877,0.025409872,0.041655075,-0.016893907,0.036051378,0.002844981,0.011662869,-0.0104689775,-0.02071712,0.04262123,-0.008088096,-0.0101239225,-0.0029881787,-0.010489681,0.014423312,-0.0012007924,-0.01391953,-0.023173913,-0.011014165,-0.00910946,-0.02015123,0.022787452,0.012884364,-0.013367442,0.016521247,-0.00605227,-0.008964537,0.0305857,0.0029105414,0.0067423806,0.019930394,-0.0073151723,0.012677331,-0.036603466,0.021614263,0.0042993887,0.022290573,0.02627941,0.017321777,0.017128544,-0.0049825986,-0.015817335,-0.013201815,-0.014878784,0.022193957,-0.021324417,-0.051537458,-0.0029381458,-0.021186395,0.008557371,-0.017984282,0.018108502,-0.0076602274,-2.364168e-05,-0.00268453,-0.035968564,0.01485118,0.0054863794,-0.025851542,0.011393726,0.020661911,0.00078888267,-0.0036299818,0.03384302,-0.00904735,-0.006404226,0.010117021,-0.0058003794,-0.006259303,0.012187353,-0.008653987,-0.01635562,0.01915747,-0.028432555,-0.0008035475,-0.020703318,0.009261284,0.013809113,0.011117682,-0.011172891,0.025685916,0.0057451706,0.002022024,0.013243223,-0.0072047547,0.013367442,0.031965923,0.015458477,0.0007517892,0.026472641,0.038094103,0.01235298,-0.04049569,0.0114351325,0.026182795,0.009344097,0.009723658,0.012960277,0.025285652,0.00830203,0.00084969867,0.008943833,0.0135813765,0.008536668,0.006890754,-0.012863661,0.0013922981,-0.017515007,-0.09727799,-0.01391953,0.019957999,-0.0021272658,0.0030537394,0.02470596,-0.0038715203,0.002265288,0.008019085,0.031303417,-0.028874228,-0.010869241,-0.0016243478,-0.0118491985,0.03340135,0.02039967,-0.02365699,0.003500586,0.030337261,0.036217004,-0.008729899,-0.030944558,0.010965858,-0.01635562,0.010917549,-0.003283201,-0.02034446,0.020482482,0.023146309,0.031193,0.020040812,-0.035085224,0.032186758,-0.0008531492,-0.009647746,-0.028032292,-0.006266204,-0.01048278,-0.0020254746,-0.060619313,0.009640845,0.02096556,0.043118108,-0.026596863,0.020565296,-0.026941918,-0.021766087,0.031303417,0.013146606,0.0042545316,-0.032932077,-0.010703615,-0.0068735015,-0.0053897635,0.014450916,-0.00786036,-0.0146855535,-0.013077595,-0.0461822,-0.0017226886,-0.017501205,-0.027935676,-0.023242924,0.035085224,0.00680104,0.019833779,-0.03226957,-0.017556414,0.022000726,-0.002782871,-0.045657717,0.02821172,-0.01841215,0.0034988606,-0.024126265,0.0026603763,-0.0031693329,-0.0043338947,0.035582103,-0.005217236,-0.01023434,-0.024609344,0.026431235,-0.0023515518,0.0118561,0.009143965,-0.0017511556,0.022511408,-0.00023916645,-0.022801254,0.033235725,0.034063857,0.008274426,-0.009344097,-0.0004414551,0.024857784,0.012435793,0.01970956,-0.032738846,-0.006090226,-0.048777018,-0.0056313025,-0.063434966,0.033815417,0.020565296,0.0149754,-0.01958534,0.00536906,0.013139705,-0.012497903,-0.012546211,-0.016272807,-0.00736348,-0.0024084859,-0.029647151,0.0011490341,-0.0024360903,-0.0062558525,0.010496582,0.0042096744,0.03751441,-0.005817632,-0.008605679,0.005672709,0.020496285,0.018646788,-0.007563612,-0.011317814,0.012249463,0.016907709,-0.011828495,-0.021117384,0.039060257,-0.0035540694,0.0013707322,0.027190357,0.01928169,-0.021807494,-0.008246821,0.0022014529,0.02865339,0.00792247,-0.0054587745,-0.019047052,0.0040543997,-0.016893907,-0.0053449064,0.004910137,-0.00054001156,-0.00075049524,0.00879891,-0.004523675,0.007881063,0.006901106,-0.016935313,-0.015762126,0.0022100792,-0.04157226,0.008584975,0.023518968,0.014450916,-0.0007867261,0.010662208,0.025879147,0.0299508,0.009958296,-0.0026948818,-0.0074738977,-0.01173188,-0.008978339,0.018053293,-0.022097342,-0.02420908,-0.007639524,-0.003975037,0.017873865,0.004661697,-0.016783489,0.01097966,0.008150206,0.0067182267,-0.01977857,0.0019219579,-0.029812777,-0.018646788,0.035416476,-0.009689152,0.023298133,-0.01404375,0.014947795,-0.02502341,0.0116421655,-0.0205929,-0.011262605,-0.014506125,0.0048204223,-0.007894865,0.02378121,0.00736348,-0.018743403,0.020606702,0.02608618,0.0005331104,-0.0042717843,-0.011966517,-0.04262123,-0.012180452,0.016797291,0.00039551963,-0.01965435,0.007418689,0.010248142,-0.026679676,0.0055760937,-0.008377942,0.013339838,-0.019074656,0.009316493,0.009440713,0.0017563314,-0.002627596,0.014437114,0.02378121,0.016369423,0.0008876547,-0.010241241,0.00836414,-0.0136503875,0.014506125,0.0072461613,-0.0018581228,0.0045443783,0.0019547383,-0.009992802,-0.008481459,-0.02739739,-0.021075977,-0.0062109954,-0.031027371,0.004854928,-0.012539309,0.09059772,-0.0036575862,0.00038840287,-0.013795311,-0.024084859,0.032656033,-0.0007008936,0.011090077,-0.008695394,-0.03414667,0.019985603,0.0040405975,-0.0287086,-0.041986328,-0.011835396,0.015527488,-0.010089417,-0.004423609,-0.019971801,-0.00985478,0.003781806,-0.01148344,0.037431598,0.0067044245,-0.0012706661,-0.008039788,0.009461416,-0.0062247976,-0.021572856,-0.014340498,-0.015044411,-0.0027621677,-0.00073453644,-0.014285289,-0.0010368911,0.008377942,-0.022387188,0.0062247976,0.007577414,0.011759484,-0.02353277,0.008074294,-0.012014825,-0.011649067,-0.017666832,0.0074531944,0.0099859005,-0.017929073,-0.028487764]', 'plot a line chart of conflict events by month for a country using HDX data as an image', '{"mem_type": "recipe", "custom_id": "e574d89f-98d9-4ee0-a279-6bed160c6fc7"}', 'e574d89f-98d9-4ee0-a279-6bed160c6fc7', '29824f71-6fc9-47e4-9b98-3720d8663770'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.0064411205,-0.02007711,0.0062492574,-0.0119982995,0.0045841592,0.028532794,-0.023037285,0.001954606,-0.012286095,-0.033493824,0.0011725923,0.008428275,0.010614144,-0.010141338,-0.0035768775,0.0054201344,0.010607292,-0.038043723,0.009641124,-0.014663828,-0.030506242,0.03113665,0.026778616,-0.021831287,-0.002362315,-0.0006094225,0.015020144,-0.027326796,-0.008346047,-0.014937918,-0.00031734508,-0.016952481,0.013745625,-0.024832575,-0.023215443,-0.008784592,-0.0034706676,-0.007044119,0.021036426,0.0013190592,-0.001659959,-0.024435144,-0.003025271,-0.022708375,-0.00026124224,0.026161913,0.017788457,-0.021968331,-0.029821018,0.049857013,0.016418004,0.011230847,-0.024325509,-0.007044119,0.008880523,0.027998317,-0.017185457,-0.023859555,-0.0064993645,-0.02117347,0.015184599,0.016089097,-0.019748202,0.016349481,-0.028998746,-0.025092961,0.0045601763,0.009182023,0.036371775,0.0002856534,0.02943729,0.037988905,-0.010312645,-0.009003864,0.010497656,0.011621426,-0.016239846,0.010189304,-0.0019768758,0.0021087816,0.018871112,-0.0488977,0.008935342,0.013348194,0.017843274,-0.0030115664,-0.010072816,0.051364508,-0.0042483984,-0.003806428,-0.015102372,0.014499373,0.0074552544,-0.012464253,-0.0018843703,-0.004772596,-0.015842415,0.022680966,0.03168483,-0.047445018,-0.019474111,-0.011436415,-0.004686943,-0.01339616,-0.014595305,-0.020556767,-0.015116076,0.0031725944,0.035522092,-0.022626149,-0.008832558,0.032671556,-0.0019460407,-0.023229146,-0.015212008,-0.032424875,0.021228287,0.008674956,0.005447543,-0.03228783,0.019542633,0.02287283,0.00020000021,-0.012101084,0.02718975,0.038865995,-0.0103880195,-0.039331947,-0.015239417,-0.014362328,-0.004868528,-0.015924642,0.019254839,-0.004094223,-0.007475811,0.03395978,-0.022735784,0.011518642,-0.020145632,-0.03061588,0.016294664,0.012779457,0.020501949,-0.00044967927,-0.0203512,0.015650552,-0.00016263401,0.01752807,-0.0042141373,-0.014992735,-0.00038179912,-0.014197874,-0.0022646706,-0.0045122104,-0.020186745,0.014567896,-0.0063349106,-0.00273405,-0.01917261,-0.008448832,-0.021310516,0.0016531067,-0.014280101,0.0094218515,0.024489962,0.03168483,-0.005286515,-0.010668962,-0.0012916502,-0.012608151,-0.0054749525,0.029080974,-0.013896375,-0.0018432568,0.0142526915,-0.0024976472,-0.010806007,0.027696818,-0.029875835,-0.006722063,-0.022585034,0.024983324,0.005930627,0.015787598,-0.0012231276,-0.027039,0.018884817,-0.013156331,-0.008716069,0.007893799,0.013951193,0.020776039,-0.0012762327,0.005231697,-0.6297497,-0.028053135,0.012580741,-0.02457219,0.013807295,0.011223995,0.003456963,-0.009682237,-0.020241564,0.010922495,0.0024599598,0.027970908,0.000107976564,-0.020844562,-0.009202579,-0.027833862,-0.012950763,-0.02144756,0.028231293,0.01051136,-0.0050329817,0.008071957,0.0022389747,0.0065164953,-0.0060334112,-0.00092077185,0.029766198,-0.0033456138,-0.0085242065,0.03198633,-0.012895945,0.0011092089,-0.0012291233,-0.017966615,0.0434433,0.00019903661,-0.00684883,0.023078397,0.0130329905,0.03897563,-0.013478387,-0.008887376,0.023653986,0.010655258,0.0004023559,0.013375604,0.011703652,-0.013773034,-0.0054441174,-0.032644145,-0.009017568,0.0061293426,-0.036837727,0.0069105,0.00669808,-0.007510072,-0.00045439022,-0.018295523,0.022269832,-0.001218845,0.0041113533,0.008215855,-0.007749901,0.002117347,0.005327629,0.0018672397,-0.0021276255,0.008099366,0.007907503,-0.019090384,0.009483522,0.014869395,-0.00701671,-0.012279242,0.02087197,0.024229577,0.006944761,-0.015650552,-0.008969603,0.0040359786,0.004443688,0.0064513986,-0.012861684,0.0031691683,0.0063863024,-0.0020830857,-0.050185923,0.003105785,0.010155043,0.016253551,0.001070665,0.009435556,-0.008928489,-0.017596593,-0.009976884,0.018610727,-0.012498515,0.013615432,0.027683113,-0.037687406,-0.022434285,-0.0092368405,-0.0027015018,-0.014869395,0.03790668,-0.0005241976,-0.038646724,0.011436415,0.04267585,-0.03428869,-0.019885246,-0.018514795,-0.02579189,-0.026710093,0.021159766,-0.031520378,0.036070272,0.00084282743,0.02494221,0.0046732384,0.039468993,0.0097439075,0.03056106,-0.025928935,0.0063554673,0.029053565,0.012978172,-0.013773034,-0.025928935,0.011724209,0.010216713,0.021940922,0.029848427,-0.012800014,0.025449278,-0.0037892973,0.004563602,0.0014800873,-0.0161028,-0.033301964,-0.014389737,-0.008770888,-0.010264679,-0.030369198,0.0070372666,-0.00621157,-0.011970891,0.0053413333,0.007743049,-0.009058682,0.0052351234,-0.011881812,-0.015773892,-0.0035768775,0.013951193,-0.0036933657,0.020830857,-0.0073798792,-0.014910509,-0.015527211,0.01227239,0.021762764,-0.019337066,-0.013738773,-0.018473681,0.00034304106,0.009832987,0.028286112,0.016513936,-0.023832146,-0.016650982,-0.021091243,-0.035439868,0.025956344,-0.0034621023,0.017212866,-0.017706228,0.0021533214,-0.007688231,-0.011066393,0.00095332006,-0.0074621066,-0.0029550353,-0.02739532,0.031218877,-0.010620996,0.019556338,0.014019716,0.005601719,0.030670697,-0.025421869,0.020885676,0.010470247,0.018747771,-0.0027220587,0.010991018,-0.006197865,0.035549503,0.012176459,0.016719503,0.011648835,0.019158907,0.010052259,0.0006616709,0.03905786,-0.029848427,-0.00771564,-0.027573477,0.010072816,0.019364474,0.024805166,-0.04210026,-0.013067252,-0.005707929,0.006300649,-0.0051837317,0.0014877961,0.004714352,-0.043580346,-0.016952481,-0.011196586,-0.015444985,0.019542633,0.004094223,-0.0043100687,-0.009092944,-0.011134916,-0.0017301945,0.02396919,-0.027504954,-0.0002822273,0.020543063,-0.028423157,0.013951193,0.029821018,0.009908361,0.0027152062,-0.0018603874,0.014211578,-0.001233406,0.026504526,-0.011525494,0.002490795,-0.00953834,-0.0009019282,0.0035391902,0.01752807,0.017624002,-0.02891652,0.042237304,0.010490804,0.011662539,-0.012135345,0.03308269,0.020652698,0.0026826581,0.0039777346,0.015513507,0.035768773,0.020954197,0.02861502,0.008284377,-0.0069173523,-0.012258685,-0.0027477546,-0.009367034,-0.021091243,-0.0033558921,-0.014334919,0.031081831,-0.013416717,-0.013773034,-0.008859967,-0.0020710942,0.00068822346,-0.024503667,0.0045361933,0.010490804,0.014348623,0.0064137112,-0.028313521,-0.025805594,0.023955487,-0.0038441154,-0.0040257,-0.04407371,-0.025038142,0.015088667,-0.036344364,0.012601298,0.0015374749,0.016185028,0.031520378,-0.014129351,-0.010490804,0.0016625285,0.018665545,-0.0039743083,0.025504095,0.021886105,-0.01588353,0.005190584,-0.00783898,-0.03395978,0.039688267,-0.00026316944,0.011525494,-0.017171754,-0.0061773085,-0.002973879,0.0031434724,-0.002442829,-0.010004293,0.020364905,-0.011409006,-0.0057182075,-0.021913514,0.019885246,0.016746912,0.019542633,-0.0141156465,-0.048979923,-0.024202168,0.026531935,0.071921274,-0.007770458,0.0043100687,-0.016253551,0.0036111388,-0.00686596,-0.021694241,-0.026038572,0.012155902,-0.0069002216,-0.0112377,-0.0003089939,0.023749918,0.0004291225,0.027217159,0.0041901544,-0.014143056,-0.016883958,0.0060231327,-0.008421422,-0.004063388,-0.01397175,-0.0027905812,0.017898092,-0.0021858695,0.010381168,0.022900239,0.02761459,0.019158907,-0.001286511,0.00996318,0.034453142,-0.0086612515,0.02396919,0.004056535,0.014595305,0.037605178,-0.003350753,0.006187587,-0.012368321,0.016185028,0.01029894,-0.002281801,-0.010463394,0.0117447665,0.0068522557,-0.017980319,0.021214584,-0.0074004363,-0.0014860829,0.028313521,-0.02679232,-0.011484381,-0.008537911,0.0017413294,0.028834293,0.00023062123,0.0013678815,0.00856532,0.0019700236,-0.03505614,-0.010648405,0.010764894,-0.03755036,-0.018048842,-0.0009781595,-0.027244568,-0.01102528,-0.0154038705,-0.019145202,0.007448402,-0.04212767,-0.010477099,0.016925072,0.010538769,0.024188463,0.015719075,-0.0059888717,0.00075974385,-0.014197874,-0.008311786,-0.0049747378,-0.00222527,-0.018158477,-0.0179255,0.0014218431,-0.026600456,-0.012820571,-0.0011708792,0.005598293,-0.00018993596,-0.0089147845,0.005447543,-0.01157346,-0.005759321,-0.010867678,0.021516083,-0.004539619,-0.0021344777,-0.0025884395,0.035659138,-0.038920812,-0.008154185,-0.0012145623,-3.2227013e-05,0.0027734505,-0.010203009,-0.007105789,-0.02159831,-0.022365762,0.021516083,-0.028834293,0.0025935788,-0.008325491,0.0065952963,-0.013416717,0.0070372666,-0.007393584,0.004426557,0.006156752,0.00060257025,0.015047554,0.0034586762,0.01567796,-0.0075374814,0.021228287,0.008469388,-0.021831287,-0.0080171395,-0.025887823,-0.023516942,0.048322108,-0.0042381203,0.006358893,-0.01889852,-0.008558467,-0.018843703,0.007982878,-0.0027922941,-0.011861254,-0.015225712,0.002574735,0.013272819,-0.017048413,-0.00975076,-0.019200021,-0.015842415,0.009044978,-0.012169606,-0.003590582,-0.013361898,-1.1134915e-05,-0.00642399,0.0047314824,-0.035165776,-0.047335383,-0.038948223,0.024928506,0.013444126,0.031849284,0.03245228,0.015869824,0.026737502,0.01600687,-0.0040531093,0.00036830874,0.014444555,-0.0065713134,-0.022735784,0.010429134,0.011641983,0.015143485,-0.0036625308,0.0009070673,0.0013850122,0.014951622,-0.0077224923,-0.022434285,-0.0013241984,-0.017582888,-0.011765323,0.019295951,-0.021982037,-0.01051136,-0.017733637,0.006646688,0.03053365,-0.014143056,0.021200879,-0.011004723,0.010470247,-0.012162754,0.03450796,-0.014951622,0.0057730256,-0.011018427,0.0011957187,-0.0042689554,0.019117793,0.021214584,0.018857408,-0.005170027,-0.0029687397,0.0094218515,0.010100225,0.028286112,0.005012425,0.015253121,-0.003998291,-0.012073674,-0.0073798792,-0.030451424,-0.026860842,-0.034096826,-4.1729167e-05,-0.009764465,-0.020954197,0.02047454,-0.012416287,-0.00938759,-0.015253121,-0.007791015,0.04229212,0.019021861,0.028025726,0.0156094385,-0.01108695,-0.018240705,0.014526783,-0.009867248,-0.005118635,0.011641983,0.035878412,-0.021790173,-0.031794466,0.0057421904,0.010895086,0.015760189,-0.045005616,0.02527112,0.023407305,0.012957616,-0.024339212,0.009360181,-0.04072981,0.008990159,-0.010819712,-0.026463412,0.023229146,-0.020488245,-0.024010304,0.018720362,-0.019542633,0.0029567482,-0.030944787,-0.031081831,0.008195298,0.0032770913,-0.018583318,0.02229724,0.0058860877,0.010799155,0.031492967,0.0051049306,0.02302358,-0.001621415,0.0020710942,-0.0029139218,-0.003535764,0.028258702,0.0005083517,-0.012539628,0.0027100672,0.011456972,0.031547785,-0.010518213,-0.016116505,0.007907503,-0.014663828,0.009271102,0.034370914,-0.025216302,-0.0046492554,-0.0179255,0.00036895115,0.004930198,-0.018473681,0.011436415,0.007338766,-0.0049952944,-0.002545613,0.02232465,0.0075922995,0.01862443,0.005923775,-0.009058682,0.005543475,0.04229212,-0.011429562,0.003826985,0.029629154,0.018309228,-0.034453142,-0.010422281,-0.025654845,-0.008935342,0.021091243,-0.022091672,-0.02621673,-0.012197015,-0.0055640317,0.024078827,0.012375174,-0.0078115715,-0.00953834,0.020721221,-0.010264679,-0.020529358,-0.0031263416,0.019611156,-0.01835034,-0.0039263424,-0.005632554,-0.02624414,0.02229724,-0.028053135,0.0022629574,0.022338353,-0.035878412,-0.0322056,0.017843274,0.025051847,-0.03198633,-0.008716069,0.001297646,0.0053892992,-0.016541345,0.005543475,-0.0009704507,-0.0074621066,0.026956774,0.019940063,0.007366175,0.0076471176,-0.0068214205,-0.037385907,-0.005817565,0.017349912,-0.017610297,0.007873242,-0.0020265547,0.029053565,0.009826135,-0.021009017,-0.04355294,-0.003131481,-0.04486857,-0.030999605,-0.0069550397,0.0046492554,0.03505614,0.018432569,0.013320785,0.002917348,0.0037139226,0.010113929,-0.010901939,-0.008380309,0.023119511,-0.030177334,-0.00375161,-0.0078047193,-0.012327208,-0.009853544,0.006650114,0.006937909,0.017075822,0.034535367,-0.014047124,-0.022105377,0.0010218426,0.019515224,-0.007976025,-0.01400601,-0.009223136,-0.0400994,-0.010072816,0.019707087,0.0037104965,-0.014622713,-0.009661681,9.502152e-05,0.0076471176,-0.0053413333,-0.0024479683,0.018569613,-0.0005841548,-0.026326366,0.015212008,-0.012752048,0.0033833012,0.024777757,0.027217159,0.008955899,-0.0065781656,0.020981608,-0.0048890845,-0.022776898,-0.014622713,-0.009134057,0.027258273,-0.014444555,0.019474111,-0.034562778,-0.0007126346,0.009497226,-0.026463412,-0.027833862,0.028943928,0.01324541,-0.02801202,-0.016760617,0.021310516,-0.027696818,-0.010991018,0.01445826,0.014430851,-0.025654845,0.017322503,-0.010881382,-0.018405158,0.004018848,0.021118652,0.00033019308,-0.015458689,0.02649082,0.19274025,0.005498935,0.032342646,0.00944926,-0.024174757,0.0035700253,0.0046698125,0.011655687,0.015746484,0.01002485,-0.026285253,0.02327026,-0.015253121,0.0057010767,-0.0010552474,-0.0040873704,-0.042401757,-0.021351628,-0.03505614,-0.016596163,-0.0037927236,0.024065122,-0.011772175,-0.02329767,0.0003946471,0.020666404,-0.010435985,-0.017473252,0.034124233,0.029026154,-0.0045910114,-0.02229724,-0.0127589,0.008887376,-0.0020197025,0.0076813786,-0.00079186383,-0.005307072,0.039359357,0.008071957,-0.026353776,0.005248828,0.014376032,0.006053968,0.004522489,0.0027665982,-0.0009635985,-0.005875809,0.008181593,0.0028179903,-0.01643171,-0.030095108,0.028368339,0.012244981,-0.014951622,-0.0044231312,0.025997458,0.00088565407,0.0037892973,0.0075991517,0.007530629,0.043635163,-0.0021841566,0.0026346922,-0.012553332,-0.0010655258,-0.02712123,-0.0042689554,0.021612015,0.0026483969,0.009880953,-0.0051015043,-0.018665545,-0.00022740924,-0.03061588,-0.02174906,0.017391024,0.0136085795,0.026189322,0.016815435,0.009134057,-0.00036338367,-0.0039229165,-0.019611156,-0.01108695,-0.025462983,0.015623143,-0.0027237716,-0.03395978,0.013368751,0.0019306231,-0.009250545,-0.008805148,-0.010250974,-0.017898092,0.008866819,-0.0006496795,0.03176706,-0.008880523,-0.0077567534,-0.010086521,0.020543063,0.03316492,0.0068522557,-0.0011837272,-0.01737732,-0.0012325495,0.0069173523,0.003854394,-0.010415428,-0.008832558,-0.039359357,0.0006119921,-0.0087777395,-0.010648405,0.0328086,0.008935342,-0.02506555,-0.0001655248,0.014101942,-0.011765323,-0.0138621135,0.0026346922,0.004234694,-0.031081831,0.009593158,-0.0027426153,0.0060745245,-0.010716928,-0.036316954,0.01855591,-0.0005190584,0.016746912,0.009024421,-0.0064719557,0.00771564,-0.01218331,-0.023640282,0.012018857,0.008818853,-0.007393584,-0.0011640269,0.014677532,0.008517354,-0.017774751,-0.01473235,0.03053365,0.010545622,-0.01658246,-0.041606896,-0.02444885,-0.0076334127,0.00030299817,-0.023133215,0.02150238,-0.0063691717,-0.007420993,-0.029875835,0.022886533,0.0072976523,-0.025380755,0.04015422,0.012025709,0.005197436,-0.007969174,0.016445413,-0.17530811,-0.0013010721,0.029683972,-0.025846709,0.0039743083,-0.008599581,0.009277955,0.00445054,-0.008359752,0.0022321222,0.0050740954,0.025504095,-0.04116835,0.017774751,0.014348623,0.011258257,0.020406017,0.016445413,0.032370057,0.01263556,0.029519517,-0.02427069,0.014567896,0.026737502,-0.003215421,-0.005814139,-0.015965756,0.033987187,-0.011779028,-0.0032650998,-0.007427845,-0.00031242004,0.03308269,-0.002281801,-0.013039842,-0.01284798,-0.015362757,0.0051631746,0.00334904,0.015869824,0.034233868,0.01567796,0.005060391,-0.0071606073,0.008887376,0.031027013,0.01740473,0.0071948683,0.007153755,-0.008654399,0.00275632,-0.028505383,0.00798973,0.00033533227,0.0075785946,0.006985875,0.008277525,0.01615762,0.009154614,-0.0010912217,-0.012094231,-0.02272208,0.017856978,-0.015020144,-0.023612874,-0.020734927,-0.013553762,-0.0042209895,-0.00030021445,0.017829569,-0.015993165,0.008119923,-0.017911797,-0.02174906,0.009579454,-0.0065507563,-0.028450565,0.01628096,0.014951622,0.010435985,-0.012203868,0.05440691,0.0012702369,-0.004306643,0.016541345,0.001070665,-0.0011503224,-0.010052259,-0.025874117,-0.023873258,0.004337478,-0.03363087,0.0049062152,-0.024051419,0.01615762,0.009771316,-0.00045910114,0.0073593226,0.045252297,-0.00222527,0.003081802,0.004933624,-0.027504954,0.015157189,0.04322403,0.0068042898,-0.01500644,0.005224845,0.033247143,0.019446703,-0.027559772,0.0050775213,0.020844562,0.00030920803,-0.017870683,0.016815435,0.018062547,-0.008537911,0.00021638139,-0.0028591037,0.011436415,-0.004878806,-0.012841127,-0.017980319,0.0056668157,-0.0038132803,-0.10349647,-0.0056770938,0.013279672,0.00073918706,-0.009092944,0.007976025,-0.0034089973,0.010203009,-0.007921208,0.008736626,-0.032095965,-0.040017173,-0.004988442,-0.007023562,0.04993924,0.009942623,-0.015965756,-0.007914355,0.0331101,0.023201738,-0.026408594,-0.017911797,0.009127204,-0.0030715237,0.012032561,-0.0032222732,-0.017610297,0.005704503,0.018487386,0.02791609,0.009367034,-0.026394889,0.030670697,-0.015417576,-0.0065781656,-0.016842844,-0.029903244,-0.019857837,0.024298098,-0.03985272,0.005170027,0.0038646723,0.019008158,-0.026024867,-0.002201287,-0.012436844,-0.010847121,0.031575195,0.013944341,-0.01855591,-0.012731492,-0.022283535,0.009874101,-0.00012730206,0.03053365,-0.014280101,-0.0041661714,0.0015837277,-0.018048842,0.01952893,0.0060436893,0.0024616728,-0.022776898,0.024681825,0.016568754,0.011868107,-0.042209893,0.001110922,0.0148282815,0.019665973,-0.035522092,0.016376892,-0.023092102,-0.0051015043,-0.0032222732,-0.004210711,-0.021817582,-0.008161036,0.008942193,-0.017089525,-0.007934912,-0.029601745,0.0010226992,-0.01867925,0.02891652,0.014430851,0.0029379046,0.008729774,0.021707946,-0.024503667,0.032589328,0.024585893,0.0054030037,-0.015636848,0.009860396,0.021406448,-0.011662539,0.02129681,-0.018843703,0.010415428,-0.041113533,0.0082706725,-0.06945446,0.0218724,0.027203456,0.0028591037,0.0018877964,-0.007941765,0.00041006468,0.00476917,-0.029793607,-0.010956757,-0.024489962,0.027080115,-0.02484628,0.01403342,-0.0022321222,-0.0037036443,0.012937059,0.005385873,0.027696818,0.007242834,-0.021886105,0.018487386,0.036070272,0.0041182055,-0.035165776,-0.00905183,0.00021809446,0.017158048,0.005248828,-0.009442409,0.01290965,-0.023215443,-0.017007299,0.004525915,0.026326366,-0.015061258,0.0046458296,-0.012539628,0.041771352,0.022913944,-0.015458689,-0.007009858,0.0018843703,-0.024106236,-0.012752048,0.005457822,0.012155902,0.012820571,0.009552045,-0.015650552,0.019679679,0.020159336,-0.012676673,-0.018227,-0.010264679,-0.029793607,0.010908791,0.025531504,0.021680538,-0.029848427,0.020337494,0.008812001,0.010086521,0.012292947,-0.008613286,0.0019426144,-0.0031160633,0.00084068615,0.011203438,-0.027957203,-0.030232152,-0.008366604,-0.010086521,0.020364905,0.010888235,-0.013197444,-0.021858696,0.012553332,-0.0043100687,0.0019066401,-0.0060882294,-0.015993165,-0.02691566,0.04182617,0.008407718,0.008380309,0.015842415,0.028258702,0.008784592,0.011347336,-0.015910938,0.0033867273,0.0064513986,0.001553749,-0.013964897,0.004765744,0.010079668,-0.010648405,0.031383332,0.037988905,-0.002358889,-0.0013224854,0.0075854473,-0.04651311,-0.027409023,0.011991448,0.006694654,-0.017555479,0.01582871,0.010607292,-0.019940063,-0.005176879,-0.023996599,0.012662969,-0.021461265,0.010004293,0.013039842,-0.0141841695,-0.01682914,0.013704511,0.020954197,0.015856119,-0.020433426,-0.019474111,0.020090815,0.006300649,0.03135592,-0.011319926,0.012560185,-0.021557197,0.0051083565,-0.0051083565,-0.015239417,-0.015719075,-0.032424875,0.00047409046,0.013718216,-0.0052351234,-0.021982037,0.09001123,0.009154614,-0.010977314,0.016609868,-0.01597946,0.026340071,0.0040599615,0.012053118,0.003268526,-0.020776039,0.028258702,-0.013382455,-0.01284798,-0.046239022,0.0020334069,-0.00040385482,-0.025038142,0.0089833075,-0.02062529,0.0147597585,0.013773034,-0.0012000013,0.019432997,0.012676673,-0.014293806,-0.00315889,0.02150238,-0.034370914,-0.022338353,-0.010792303,-0.007688231,0.010429134,-0.0048822323,-0.025805594,0.012107936,-0.008859967,-0.0030749498,0.026107095,0.027093818,0.035001323,0.0054269866,0.017075822,-0.0076471176,-0.022516513,-0.009641124,0.004402574,-0.0018997879,-0.030725515,-0.017267684]', 'create a sankey plot of refugee migration by country for Kenya using HAPI data as an image', '{"mem_type": "recipe", "custom_id": "af3b596b-08e2-46cb-96a5-e8800cd34efe"}', 'af3b596b-08e2-46cb-96a5-e8800cd34efe', 'fc07963d-fa1b-4ac7-b1ad-c687a1063a9c'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.015268016,-0.004117528,-0.01321616,-0.009209169,0.0016692915,0.03142033,-0.01890194,0.008843013,-0.0026459952,-0.048995823,-0.0052781734,0.0065666283,-0.00945097,-0.016152315,0.00013331446,0.015958875,0.009513147,-0.03130979,0.0048014796,-0.0074405666,-0.026114523,0.013734305,0.025354577,-0.00910554,-0.0005604605,-0.00043977585,0.011938067,-0.029099042,-0.006756615,0.0022660221,0.018874306,-0.02865689,0.0071987654,-0.04261227,-0.0037928238,-0.0036615604,-0.00040134674,-0.00423152,0.012083148,0.0102247335,-0.0081659695,-0.009837852,-0.006051937,-0.032884955,0.00019721907,0.013603042,0.01153046,0.0059413994,-0.012732558,0.03937904,0.009133174,0.0383013,-0.019924413,-0.01351323,0.007986346,0.01736823,-0.0076270993,-0.01583452,-0.008110701,-0.024428826,0.019993499,-0.0074820183,-0.026888289,0.0074405666,-0.032221727,-0.03567603,0.0073714806,0.009001911,0.039959364,0.0025561834,0.044436138,0.03979356,-0.015654895,-0.018763768,0.019205919,-0.000797512,-0.031226892,-0.0076961853,0.003407669,0.0048118425,0.024539363,-0.03084001,-0.0010328363,0.0029637911,0.007419841,-0.004646036,-0.007855083,0.042557,0.0010311091,-0.0017703299,0.013644493,0.021292318,0.026307965,-6.881617e-05,-0.006791158,-0.0018238715,-0.009222986,0.021402854,0.022978017,-0.016760273,-0.008172878,-7.523901e-05,-0.033023126,-0.011039949,-0.03479173,-0.014231725,-0.00051641813,0.008007072,0.029596461,-0.016815541,-0.014521887,0.028960869,0.003751372,-0.031779576,-0.015682532,-0.028435815,0.006193564,-0.00040069906,-0.020076403,-0.02434592,0.0155305425,0.018404521,0.009292072,-0.017699843,-0.0010103834,0.031337425,-0.0076823677,-0.032829687,-0.001725424,-0.012041696,0.0073922067,-0.0047876625,0.010245459,-0.010065836,-0.019109199,0.0063144644,0.0024301014,-0.0007003597,-0.03454302,-0.0383013,0.021817371,0.018321617,0.02097452,-0.012628929,-0.010335271,0.0416727,0.025658557,0.0035510226,-0.0024059212,-0.01805909,0.003917178,-0.023530705,-0.0009110722,-0.0007530378,-0.010362905,0.017188607,-0.006846427,-0.0041589793,-0.008794652,-0.012898364,-0.009015728,0.007336938,-0.0051883613,0.023544522,0.041562162,0.033935063,-0.023530705,-0.02172065,-0.004048442,-0.0035354781,-0.0051503642,0.013651402,-0.0059552165,-0.019012477,0.014328445,-0.002930975,-0.019440811,0.022895113,-0.013527047,-0.021983176,-0.0009887939,0.025769094,0.017741295,0.01989678,-0.007675459,-0.013223069,0.026805384,0.0039517214,0.018819036,-0.013596133,0.028546352,0.00023467666,-0.0047842083,0.0011468283,-0.63094896,-0.029099042,-0.0016606557,-0.032276995,0.01667737,-0.0047082133,0.017064251,0.0035993827,-0.017893285,0.013976106,-0.0020898527,0.02737189,0.002530276,-0.028200923,-0.0023005651,-0.015571994,-0.024221566,-0.014217908,0.030895278,0.02355834,-0.025962535,0.003979356,0.009789492,0.007751454,0.011806804,0.019882962,0.031696673,0.0003769507,-0.0044215065,0.021927908,-0.019109199,0.009513147,-0.008718658,-0.017091885,0.04131345,0.009962207,-0.020394199,0.008490674,0.0022660221,0.027634418,-0.020104038,-0.009091723,0.019620435,0.017589305,-0.006172838,-0.001863596,-0.014259359,-0.012255864,0.006031211,-0.039600115,-4.0264207e-05,0.0020069494,-0.024691353,0.006777341,0.013326698,0.0018186901,-0.0036062915,-0.008456131,0.01978624,0.0039413585,0.0027064455,-0.011979519,-0.027993664,-0.0031710493,-0.0065804454,0.023130005,-0.01617995,0.005437071,0.0030017884,-0.024926245,-0.0057375953,-0.004953469,0.010756697,-0.017782746,0.018432155,0.02003495,0.011219572,-0.014756778,-0.014190273,2.1144106e-05,-0.0016606557,0.01192425,-0.028352913,0.012407853,-0.0039862646,-0.0002996607,-0.040650226,0.0063870046,0.0026874468,0.022715488,0.007067502,0.013223069,0.008414679,-0.011827529,-0.012456214,0.011026132,-0.0018566874,0.010556347,0.011813712,-0.02097452,-0.018777585,-0.023572156,-0.0038273667,0.0093404325,0.055821523,0.007903443,-0.038771085,-0.0055199745,0.040125173,-0.018086724,-0.010929411,-0.0029914253,-0.030314956,-0.014687693,0.032636244,-0.03354818,0.02846345,-0.010190191,0.025368394,0.0002463349,0.04244646,0.014604789,0.02196936,-0.021679198,0.009278255,0.030314956,0.0034111233,-0.0037099204,-0.02152721,-0.0045907674,-0.00050475984,0.007212583,0.016939897,-0.012905273,0.023834683,-0.0036270171,0.00040393745,0.0046391273,-0.017976187,-0.0074474756,0.009409518,0.0032487712,0.0038619097,-0.03562076,-0.0073162117,-0.014770596,-0.02549275,0.007012233,-0.0016157498,-0.014135004,-0.0019499535,-0.02068436,-0.0072333086,0.022176618,0.029430654,-0.0031572322,0.025009148,-0.0023195636,0.00043437848,8.355093e-05,0.016691187,0.027758772,-0.014003741,-0.010169465,0.0075994646,-0.009672046,-0.0031244163,0.045652054,0.020490918,-0.009547691,0.0112610245,-0.021941725,-0.021416672,0.03686431,-0.007827448,0.02321291,-0.00791726,-0.0035648397,-0.003948267,-0.019855328,-0.0033230386,0.0125253,-0.005343805,-0.025934901,0.036311623,-0.0069466014,-0.00082082854,-0.008732475,-0.011848256,0.033769254,-0.01953753,0.033271834,-0.0016304306,0.016014144,0.009506239,0.032000653,-0.009976024,0.019634252,0.006480271,0.017686026,0.042695172,0.013285246,-0.0012340493,0.007931077,0.03341001,-0.043082055,-0.0055579715,-0.016470112,0.0044076894,0.008083067,0.016414843,-0.03736173,-0.008932825,-0.007267852,-0.003682286,0.010369814,-0.0067946124,-0.0044215065,-0.033327106,0.0036304716,0.0153923705,-0.012331858,0.021237047,0.0074820183,0.0021313042,-0.024415005,-0.008504491,0.015627261,0.011157395,-0.03274678,-0.0060139396,0.015240381,-0.015378553,0.0015190293,0.0357313,0.017326778,0.0064284564,0.0077790883,0.019012477,0.010128013,-0.004507864,0.010017475,0.009119357,-0.026459955,0.018183446,-0.00011712243,0.019882962,0.015903605,-0.02587963,0.02608689,0.0036995576,-0.0022591134,-0.009064089,0.022231886,0.0067842496,-0.0026598126,-0.005423254,0.01796237,0.043911085,0.036256354,0.036698505,0.009955298,-0.007834356,-0.003098509,-0.016829358,-0.02811802,-0.0071158623,0.0029810625,-0.025548019,0.006324827,-0.00821433,-0.0024680987,-0.003782461,-0.021057425,-0.005288536,-0.012518391,0.0017772384,-0.009070997,0.020062586,0.0023921041,-0.028739793,-0.027288986,0.037278827,-0.004739302,-0.006435365,-0.028325278,-0.030121515,-0.0018307802,-0.028076569,-0.0062246523,0.003989719,0.007931077,0.031116353,-0.00890519,-0.022991834,0.010604707,0.019565167,0.0094924215,0.008380136,0.026791567,-0.01687081,-0.003302313,-0.014328445,-0.028822698,0.048470765,0.016110864,-0.0016157498,-0.016953714,-0.015875971,-0.010963954,-0.002839436,-0.007634008,-0.008953551,0.04073313,0.0081659695,0.012573659,-0.036007643,0.0057859556,0.027136998,0.008324868,-0.0036270171,-0.040539686,-0.017492585,0.028573988,0.033327106,-0.0032142282,0.012711832,-0.015281833,-0.01949608,0.001476714,-0.026584309,-0.017920919,0.0070640477,0.008207422,-0.011122853,0.00945097,0.015516725,-0.0021589387,0.031254523,0.0012210957,-0.000543189,-0.029126676,-0.016014144,0.00078499014,0.004324786,0.001173599,-0.0003624858,0.019869145,0.022328608,0.031365063,0.039848827,0.03205592,0.0030276957,-0.0070225964,-0.013257612,0.013575408,0.0032919499,0.028739793,-0.0030276957,0.019869145,0.016663553,-0.0011459646,0.011288659,-0.0001129125,0.02227334,0.009754948,-0.00046201292,-0.019855328,0.006573537,-0.0032574069,-0.0015198928,0.014715327,-0.008635755,-0.011074492,-0.0019050476,0.005457797,0.0060553914,-0.00890519,-0.012290407,0.014632423,0.0008311914,-0.024511728,0.0094164265,-0.009444062,-0.031779576,0.003899907,0.021195596,-0.025354577,-0.025299309,-0.01924737,-0.04374528,-0.02058764,-0.003359309,-0.0002571296,0.012255864,-0.035814203,-0.013001993,0.01623522,0.010618524,0.030370224,0.012946725,-0.019758606,-0.007675459,-0.025257858,-0.008870647,-0.00949933,-0.00871175,-0.026155977,-0.015240381,-0.0013782665,-0.027827859,-0.018349253,-0.003044967,-0.0004935334,-0.0018100543,-0.012020971,0.034653556,-0.01692608,-0.014853499,0.0021468487,0.0050674607,-0.006390459,0.0032988586,-0.0069086044,0.030425493,-0.034764096,-0.022895113,-0.014577155,0.026446138,0.00826269,-0.012262773,-0.010597798,-0.009989841,-0.029209578,-0.0001340701,-0.018031456,-0.001332497,-0.014480434,0.02202463,-0.018971026,-0.0043075145,-0.0065148138,-0.0014119459,-0.011986428,-0.013368149,0.016401025,-0.017395865,0.0037444634,-0.027634418,0.024539363,0.0006131386,-0.009734223,-0.02053237,-0.0062453784,-0.021250864,0.011799895,0.00059284456,-0.003578657,-0.021748284,-0.0056166947,-0.023130005,-0.007385298,0.0025233675,-0.01627667,-0.014839682,0.0034974809,0.0056305123,-0.025147319,-0.0025682736,-0.0225635,-0.00087782455,0.016746456,-0.013499413,0.022895113,0.012269681,-0.004711668,-0.010625432,-0.030536031,-0.016304305,-0.022259522,-0.02846345,0.024069576,0.014328445,0.011613363,0.041396353,0.04275044,0.029071407,-0.007931077,-0.0056719636,0.020366564,0.0166221,-0.014784413,-0.007861991,-0.00331613,-0.002803166,0.016166134,-0.0005069188,-0.0035648397,0.021195596,0.006183201,-0.015571994,-0.026225062,0.011502826,-0.031751942,-0.026017804,0.003371399,-0.012490757,-0.01093632,-0.03130979,0.0034335763,0.039406676,-0.0055303373,0.018722316,-0.0048256596,-0.00025864085,-0.0014749869,0.03360345,0.012815461,0.013996832,0.001943045,0.010521804,-0.011509734,0.029983342,0.026266513,0.017299144,-0.0026183608,0.006449182,0.016470112,0.0005708234,0.029485922,0.0057030525,0.023088554,-0.0028428906,-0.010266185,0.0016779272,-0.022853661,-0.019357909,-0.012898364,0.0036408345,-0.01608323,-0.016511563,0.03153087,-0.02574146,-0.016705004,0.012684197,-0.015378553,0.034211405,0.0072747604,0.024539363,0.0046978504,-0.009927664,-0.02717845,0.0053921654,-0.022010813,0.0021658472,0.023917586,0.021416672,-0.011516643,-0.03772098,0.02108506,0.011944976,0.015433822,-0.056401845,0.015447639,0.005696144,0.01173081,-0.02549275,0.008449223,-0.0366156,0.008746292,-0.0002435283,-0.018570326,0.008020889,-0.01385866,-0.019952048,0.0019240463,-0.016760273,0.015806885,-0.013050353,-0.024497911,0.004652945,-0.014010649,-0.010273094,0.015848337,0.012069331,0.004359329,0.017547853,0.009761857,0.00038321165,-0.003751372,0.0174235,-0.007882717,0.005091641,0.03180721,-0.015420005,-0.011178121,0.0054059825,0.003568294,0.014839682,0.0024076484,-0.018141994,0.0018048729,0.0028238918,0.011951884,0.03849474,-0.031199256,-0.0122075025,-0.025851997,-0.008331777,0.007647825,-0.02335108,0.0111850295,0.0012236865,-0.012428579,-0.005271265,0.016691187,-0.0113232015,0.01470151,0.032276995,-0.010929411,-0.007122771,0.030922912,-0.020228392,0.022508232,0.028960869,0.01627667,-0.039627753,0.004380055,-0.02865689,-0.003716829,0.009533873,-0.022038447,-0.037914418,-0.010003658,0.0036546516,0.026874471,0.014577155,0.012649654,0.0035061166,0.01874995,-0.0028722521,-0.030757107,-0.020104038,0.025064416,-0.015945058,0.008642663,0.008048523,-0.023226727,0.007979438,-0.035095707,0.0046011303,0.030176783,-0.033713985,-0.03142033,0.0030536032,0.027040277,-0.02241151,0.008801561,-0.013140165,-0.0063179187,-0.017078068,0.01968952,-0.0015432095,0.0044215065,0.021361403,0.020546189,-0.008428496,0.002905068,-0.013568499,-0.025686191,-0.01405901,-0.00041149373,0.0006308419,-0.00692933,0.014964037,0.028601622,0.018128177,-0.03567603,-0.02746861,-0.013167799,-0.043634742,-0.015765434,-0.00012068468,0.0022245704,0.028131837,0.045652054,0.009526964,-0.010494169,-0.0014395803,-0.0031969566,-0.02009022,0.0060553914,0.014031375,-0.026335599,-0.006425002,-0.006462999,-0.025962535,-0.020601457,0.0033869434,0.0038239125,0.02509205,0.021900274,-0.027579147,-0.01984151,-0.0035959284,0.002516459,0.017603122,0.0030276957,3.1493517e-05,-0.039765924,0.0018601416,-0.0065251766,-0.018155811,-0.009022636,-0.00811761,-0.028090386,-0.004027716,4.6956917e-05,-0.013388875,0.0065562655,-0.01187589,-0.018832853,0.012110783,0.010383631,-0.0059310365,0.027579147,0.022218069,0.008988094,-0.006307556,-0.0010794693,-0.015143661,-0.021499574,-0.018003821,-0.007592556,0.015613446,-0.020919252,0.013437236,-0.04896819,0.0008657345,0.005423254,-0.021734467,-0.025603287,0.016331939,0.016746456,-0.011205755,-0.023475436,0.013202343,-0.024124844,-0.025022965,0.0058170445,0.006352462,-0.013734305,0.015268016,-0.005367985,-0.019717155,-0.012048605,0.01677409,-0.00037543944,-0.01177917,0.046149474,0.1952095,0.0039517214,0.0234478,0.016511563,-0.02499533,0.020698177,0.01009347,0.021651564,0.01346487,0.016497746,-0.029099042,0.009637502,-0.0028584348,0.0030812374,0.028573988,-0.014190273,-0.03843947,-0.03399033,-0.019952048,-0.0025354575,0.0023644697,-0.0066702575,-0.005595969,-0.019924413,0.003190048,0.0006373187,-0.02965173,-0.0033834889,0.015779251,0.023945222,-0.008269599,-0.0074267494,0.0036166543,-0.00017303893,0.00037803018,-0.00020445151,-0.007039868,0.007502744,0.041258182,-0.005426708,-0.023820866,-0.0075441957,-0.0051400014,0.00048964727,0.014881133,0.0033299474,0.008642663,-0.016884627,0.004062259,0.011599545,-0.015475273,-0.026639579,0.012836187,0.02821474,-0.0033057672,-0.00058377703,0.03153087,-0.005709961,1.0207732e-05,0.024732804,0.004887837,0.032442804,-0.00031131896,-0.022991834,0.0038964527,0.015406188,-0.021955542,-0.016760273,0.0066391686,-0.008027798,0.036173448,-0.019827694,-0.016290488,-0.006701346,-0.013616859,-0.013948472,0.028380547,0.025188772,0.01796237,0.0064733624,-0.0011148759,-0.0077790883,0.0055303373,-0.0036788317,-0.0019551348,-0.025976352,0.008545943,0.010604707,-0.0408713,0.0018463245,0.008621938,-0.017920919,0.001908502,0.0047842083,-0.0014404439,-0.0033869434,-0.0122075025,0.02147194,-0.01989678,-0.0014542611,-0.007813631,0.035261516,0.022687854,-0.00091452646,0.013036536,-0.015917424,0.0024853703,0.012394036,0.000398756,-0.021167962,-0.0031002362,-0.05319625,-0.003373126,-0.0105287125,-0.019371726,0.014273176,0.0153923705,-0.02965173,-0.007924168,0.009029545,-0.02018694,-0.029928073,-0.0020915798,0.006065754,-0.032691512,0.009526964,-0.022287156,0.007931077,-0.014646241,-0.01767221,0.025851997,0.0037686436,0.02231479,0.018349253,0.0048567485,-0.0075718304,-0.026515223,-0.021306135,-0.0036373802,0.0012798188,0.0015397551,-0.017768929,0.018128177,-0.0060692085,-0.007309303,0.0065528112,0.01821108,0.018280165,-0.016801724,-0.020863984,-0.008435405,-0.015627261,0.010618524,-0.027150815,0.039904095,-0.0018428701,0.009506239,-0.026294148,0.019468445,0.0023592883,-0.0043040602,0.028739793,0.01771366,-0.0004205613,-0.010128013,0.015475273,-0.17719187,0.007751454,0.016981348,-0.025561836,-0.01098468,-0.0040415335,-0.00096720457,-0.007848174,0.0071504056,-0.010369814,0.0059655793,0.02811802,-0.030010976,0.009665137,0.012863821,0.014964037,-0.00487402,0.020269843,0.036587965,0.0059413994,0.0155305425,-0.010611615,0.041921407,0.0009084815,0.023655059,0.0025717278,-0.024884792,0.05062625,-0.014231725,0.005709961,-0.0020622183,-0.01836307,0.032580975,-0.00016936874,-0.0019534077,-0.013347424,-0.015129844,-0.011896616,-0.013568499,0.019330274,0.01623522,0.011198847,-0.003944813,-0.0054750685,-0.0077929054,0.025962535,0.015613446,-0.0035890199,0.036394525,-0.0033524001,0.015820703,-0.035537858,0.00058636774,0.012698015,0.031282157,0.014286994,0.005412891,0.029209578,0.006390459,0.0008609848,-0.028380547,-0.009616776,0.011343927,0.003989719,-0.014425166,-0.021734467,-0.027855493,0.026045438,0.0046045845,0.021996995,-0.035897106,0.0072194915,-0.007634008,-0.013865569,0.028712159,-0.008096884,-0.022922747,0.0143560795,0.033658717,0.018183446,-0.01014183,0.052892275,0.00037587123,-0.006183201,-0.0062488327,0.005077824,-0.006563174,0.01731296,0.0050052833,-0.0118413465,0.006165929,-0.03285732,-0.00014562042,-0.029872805,0.018280165,0.03216646,0.013741214,0.006065754,0.024415005,-0.015641078,0.0012055513,0.033935063,-0.031724308,0.0003732805,0.029872805,0.014314628,-0.02202463,0.012449305,0.02628033,0.015558177,-0.00574105,-0.002791076,0.026694847,0.0076685506,-0.007661642,0.028684525,0.011419922,-0.007136588,-0.0010026111,0.012145326,0.013098714,0.005215996,0.0024007398,0.0019741335,0.00053325784,-0.014342262,-0.09517293,-0.013271429,0.03691958,-0.00039767654,-0.015074574,0.01177917,0.007799814,0.012594386,-0.012255864,0.025437482,-0.03224936,-0.018667048,0.00039486992,-0.010197099,0.032194093,0.020449467,-0.024580814,-0.005906856,0.04261227,0.025534201,-0.014190273,-0.03973829,0.013844843,-0.019634252,0.01642866,0.003796278,-0.005437071,0.022245705,0.019565167,0.022770759,0.016041778,-0.045237537,0.02965173,0.005157273,0.0062039266,-0.017105702,-0.013962289,-0.016705004,0.014867316,-0.030010976,-0.0030518756,-0.009423336,0.0092022605,-0.012269681,0.01034218,-0.032636244,-0.008076157,0.009229895,0.0022107533,-0.019523714,-0.006677166,-0.013278337,0.0021330314,0.009195352,0.0014318081,-0.00865648,0.02187264,0.0046702162,-0.017133338,0.012988176,0.023641242,0.0021796646,-0.025119685,0.015378553,0.013499413,0.025368394,-0.038826354,-0.0040518963,0.0123733105,0.0028584348,-0.04924453,0.030812375,-0.019205919,-0.0034145776,-0.01978624,0.00040674408,-0.017216241,-0.0073714806,0.030563666,0.0076201903,-0.01746495,-0.02330963,0.009457879,-0.015903605,0.013147074,-0.0014698055,0.0019136834,0.011012315,0.019551348,-0.04186614,0.037748612,0.031641405,0.032442804,-0.016967531,-0.0051918156,0.015723983,-0.0016269763,0.043026786,-0.033327106,-0.0096305935,-0.044574313,0.00014831909,-0.060298298,0.015212746,0.02093307,0.012318041,-0.002644268,-0.005202179,0.014031375,0.0007292895,-0.01781038,-0.0017547855,0.009775674,0.018639414,-0.022466779,-0.0011951885,-0.0075303786,-0.009720406,0.0035821113,0.0059448536,0.028877966,-0.0030397857,-0.014100461,0.015917424,0.024760438,-0.016815541,-0.01796237,-0.0011969156,0.0021917545,0.022135166,-0.0008048524,-0.0059690336,0.025934901,-0.0111850295,-0.015751617,0.01731296,-0.0038135496,-0.020173123,0.008497583,-0.0030346042,0.029817536,0.012186777,-0.0170228,-0.017838014,0.004424961,-0.016746456,-0.010998498,-0.00032772688,0.01167554,-0.0033817617,0.004241883,-0.011060675,0.024981514,0.014825865,-0.016290488,-0.014881133,-0.0029948798,-0.038577642,0.0049603777,0.021389037,0.021306135,-0.004393872,0.021347586,0.023295812,0.016553015,0.013229977,-0.002735807,-0.00065070414,0.0027409885,0.0041520707,0.008366319,-0.030370224,-0.03656033,-0.027399525,-0.0009767038,0.012981268,0.009347341,-0.027496245,-0.003338583,0.003167595,-0.00014281379,0.011868982,0.00011777011,-0.03305076,-0.048028614,0.048581302,0.0015587539,0.0029655183,-0.007675459,0.016939897,-0.01850124,0.01167554,-0.011696266,0.0005820499,0.011447556,0.007861991,-0.0340456,-0.00059586705,0.014397531,-0.008787744,0.006925876,0.032995492,0.008504491,0.0022055719,-0.0029551552,-0.023047103,-0.03108872,0.0009559781,-0.0047289394,-0.022978017,0.019261187,0.008456131,-0.008290324,-0.00989312,-0.019344091,0.0073714806,-0.010328363,-0.009803309,0.006197018,-0.013927747,-0.0077652712,0.005091641,0.011661723,0.011039949,-0.014286994,-0.00013050785,0.022107532,0.025686191,0.02965173,0.0015958876,0.006894787,-0.01192425,0.005595969,-0.0066702575,-0.018819036,-0.024788072,-0.021817371,0.0037202833,0.00040134674,0.0022176618,-0.026017804,0.09456497,0.010321454,-0.0053265337,0.0056166947,-0.011143578,0.011786078,-0.0031278706,0.008110701,-0.012428579,-0.027095547,0.03216646,-0.020394199,-0.010155648,-0.05350023,0.0057445043,0.0044353236,-0.03191775,0.008925916,-0.013748122,0.0099345725,0.002221116,-0.0017625577,0.019482262,0.010086562,-0.034266677,0.0020000408,0.007896534,-0.012152234,-0.0025941806,-0.0003916315,0.005865405,-0.020104038,-0.006915513,-0.02445646,0.0024283743,-0.0070951367,0.0049154717,-0.0064837253,0.032580975,0.015571994,0.0025009145,0.004096802,-0.015654895,-0.00871175,-0.01667737,0.01113667,0.008200512,-0.020117855,-0.0063317358]', 'plot a map of population by admin1 or admin2 for a country using HAPI data as an image', '{"mem_type": "recipe", "custom_id": "85c023b7-e2ec-44b6-ba7f-624a11be27c4"}', '85c023b7-e2ec-44b6-ba7f-624a11be27c4', '66cc0343-b8c8-4455-9e65-880e1cdc144b'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('4fe46967-7c1f-41e0-af45-16ebdff54616', '[-0.0064411205,-0.02007711,0.0062492574,-0.0119982995,0.0045841592,0.028532794,-0.023037285,0.001954606,-0.012286095,-0.033493824,0.0011725923,0.008428275,0.010614144,-0.010141338,-0.0035768775,0.0054201344,0.010607292,-0.038043723,0.009641124,-0.014663828,-0.030506242,0.03113665,0.026778616,-0.021831287,-0.002362315,-0.0006094225,0.015020144,-0.027326796,-0.008346047,-0.014937918,-0.00031734508,-0.016952481,0.013745625,-0.024832575,-0.023215443,-0.008784592,-0.0034706676,-0.007044119,0.021036426,0.0013190592,-0.001659959,-0.024435144,-0.003025271,-0.022708375,-0.00026124224,0.026161913,0.017788457,-0.021968331,-0.029821018,0.049857013,0.016418004,0.011230847,-0.024325509,-0.007044119,0.008880523,0.027998317,-0.017185457,-0.023859555,-0.0064993645,-0.02117347,0.015184599,0.016089097,-0.019748202,0.016349481,-0.028998746,-0.025092961,0.0045601763,0.009182023,0.036371775,0.0002856534,0.02943729,0.037988905,-0.010312645,-0.009003864,0.010497656,0.011621426,-0.016239846,0.010189304,-0.0019768758,0.0021087816,0.018871112,-0.0488977,0.008935342,0.013348194,0.017843274,-0.0030115664,-0.010072816,0.051364508,-0.0042483984,-0.003806428,-0.015102372,0.014499373,0.0074552544,-0.012464253,-0.0018843703,-0.004772596,-0.015842415,0.022680966,0.03168483,-0.047445018,-0.019474111,-0.011436415,-0.004686943,-0.01339616,-0.014595305,-0.020556767,-0.015116076,0.0031725944,0.035522092,-0.022626149,-0.008832558,0.032671556,-0.0019460407,-0.023229146,-0.015212008,-0.032424875,0.021228287,0.008674956,0.005447543,-0.03228783,0.019542633,0.02287283,0.00020000021,-0.012101084,0.02718975,0.038865995,-0.0103880195,-0.039331947,-0.015239417,-0.014362328,-0.004868528,-0.015924642,0.019254839,-0.004094223,-0.007475811,0.03395978,-0.022735784,0.011518642,-0.020145632,-0.03061588,0.016294664,0.012779457,0.020501949,-0.00044967927,-0.0203512,0.015650552,-0.00016263401,0.01752807,-0.0042141373,-0.014992735,-0.00038179912,-0.014197874,-0.0022646706,-0.0045122104,-0.020186745,0.014567896,-0.0063349106,-0.00273405,-0.01917261,-0.008448832,-0.021310516,0.0016531067,-0.014280101,0.0094218515,0.024489962,0.03168483,-0.005286515,-0.010668962,-0.0012916502,-0.012608151,-0.0054749525,0.029080974,-0.013896375,-0.0018432568,0.0142526915,-0.0024976472,-0.010806007,0.027696818,-0.029875835,-0.006722063,-0.022585034,0.024983324,0.005930627,0.015787598,-0.0012231276,-0.027039,0.018884817,-0.013156331,-0.008716069,0.007893799,0.013951193,0.020776039,-0.0012762327,0.005231697,-0.6297497,-0.028053135,0.012580741,-0.02457219,0.013807295,0.011223995,0.003456963,-0.009682237,-0.020241564,0.010922495,0.0024599598,0.027970908,0.000107976564,-0.020844562,-0.009202579,-0.027833862,-0.012950763,-0.02144756,0.028231293,0.01051136,-0.0050329817,0.008071957,0.0022389747,0.0065164953,-0.0060334112,-0.00092077185,0.029766198,-0.0033456138,-0.0085242065,0.03198633,-0.012895945,0.0011092089,-0.0012291233,-0.017966615,0.0434433,0.00019903661,-0.00684883,0.023078397,0.0130329905,0.03897563,-0.013478387,-0.008887376,0.023653986,0.010655258,0.0004023559,0.013375604,0.011703652,-0.013773034,-0.0054441174,-0.032644145,-0.009017568,0.0061293426,-0.036837727,0.0069105,0.00669808,-0.007510072,-0.00045439022,-0.018295523,0.022269832,-0.001218845,0.0041113533,0.008215855,-0.007749901,0.002117347,0.005327629,0.0018672397,-0.0021276255,0.008099366,0.007907503,-0.019090384,0.009483522,0.014869395,-0.00701671,-0.012279242,0.02087197,0.024229577,0.006944761,-0.015650552,-0.008969603,0.0040359786,0.004443688,0.0064513986,-0.012861684,0.0031691683,0.0063863024,-0.0020830857,-0.050185923,0.003105785,0.010155043,0.016253551,0.001070665,0.009435556,-0.008928489,-0.017596593,-0.009976884,0.018610727,-0.012498515,0.013615432,0.027683113,-0.037687406,-0.022434285,-0.0092368405,-0.0027015018,-0.014869395,0.03790668,-0.0005241976,-0.038646724,0.011436415,0.04267585,-0.03428869,-0.019885246,-0.018514795,-0.02579189,-0.026710093,0.021159766,-0.031520378,0.036070272,0.00084282743,0.02494221,0.0046732384,0.039468993,0.0097439075,0.03056106,-0.025928935,0.0063554673,0.029053565,0.012978172,-0.013773034,-0.025928935,0.011724209,0.010216713,0.021940922,0.029848427,-0.012800014,0.025449278,-0.0037892973,0.004563602,0.0014800873,-0.0161028,-0.033301964,-0.014389737,-0.008770888,-0.010264679,-0.030369198,0.0070372666,-0.00621157,-0.011970891,0.0053413333,0.007743049,-0.009058682,0.0052351234,-0.011881812,-0.015773892,-0.0035768775,0.013951193,-0.0036933657,0.020830857,-0.0073798792,-0.014910509,-0.015527211,0.01227239,0.021762764,-0.019337066,-0.013738773,-0.018473681,0.00034304106,0.009832987,0.028286112,0.016513936,-0.023832146,-0.016650982,-0.021091243,-0.035439868,0.025956344,-0.0034621023,0.017212866,-0.017706228,0.0021533214,-0.007688231,-0.011066393,0.00095332006,-0.0074621066,-0.0029550353,-0.02739532,0.031218877,-0.010620996,0.019556338,0.014019716,0.005601719,0.030670697,-0.025421869,0.020885676,0.010470247,0.018747771,-0.0027220587,0.010991018,-0.006197865,0.035549503,0.012176459,0.016719503,0.011648835,0.019158907,0.010052259,0.0006616709,0.03905786,-0.029848427,-0.00771564,-0.027573477,0.010072816,0.019364474,0.024805166,-0.04210026,-0.013067252,-0.005707929,0.006300649,-0.0051837317,0.0014877961,0.004714352,-0.043580346,-0.016952481,-0.011196586,-0.015444985,0.019542633,0.004094223,-0.0043100687,-0.009092944,-0.011134916,-0.0017301945,0.02396919,-0.027504954,-0.0002822273,0.020543063,-0.028423157,0.013951193,0.029821018,0.009908361,0.0027152062,-0.0018603874,0.014211578,-0.001233406,0.026504526,-0.011525494,0.002490795,-0.00953834,-0.0009019282,0.0035391902,0.01752807,0.017624002,-0.02891652,0.042237304,0.010490804,0.011662539,-0.012135345,0.03308269,0.020652698,0.0026826581,0.0039777346,0.015513507,0.035768773,0.020954197,0.02861502,0.008284377,-0.0069173523,-0.012258685,-0.0027477546,-0.009367034,-0.021091243,-0.0033558921,-0.014334919,0.031081831,-0.013416717,-0.013773034,-0.008859967,-0.0020710942,0.00068822346,-0.024503667,0.0045361933,0.010490804,0.014348623,0.0064137112,-0.028313521,-0.025805594,0.023955487,-0.0038441154,-0.0040257,-0.04407371,-0.025038142,0.015088667,-0.036344364,0.012601298,0.0015374749,0.016185028,0.031520378,-0.014129351,-0.010490804,0.0016625285,0.018665545,-0.0039743083,0.025504095,0.021886105,-0.01588353,0.005190584,-0.00783898,-0.03395978,0.039688267,-0.00026316944,0.011525494,-0.017171754,-0.0061773085,-0.002973879,0.0031434724,-0.002442829,-0.010004293,0.020364905,-0.011409006,-0.0057182075,-0.021913514,0.019885246,0.016746912,0.019542633,-0.0141156465,-0.048979923,-0.024202168,0.026531935,0.071921274,-0.007770458,0.0043100687,-0.016253551,0.0036111388,-0.00686596,-0.021694241,-0.026038572,0.012155902,-0.0069002216,-0.0112377,-0.0003089939,0.023749918,0.0004291225,0.027217159,0.0041901544,-0.014143056,-0.016883958,0.0060231327,-0.008421422,-0.004063388,-0.01397175,-0.0027905812,0.017898092,-0.0021858695,0.010381168,0.022900239,0.02761459,0.019158907,-0.001286511,0.00996318,0.034453142,-0.0086612515,0.02396919,0.004056535,0.014595305,0.037605178,-0.003350753,0.006187587,-0.012368321,0.016185028,0.01029894,-0.002281801,-0.010463394,0.0117447665,0.0068522557,-0.017980319,0.021214584,-0.0074004363,-0.0014860829,0.028313521,-0.02679232,-0.011484381,-0.008537911,0.0017413294,0.028834293,0.00023062123,0.0013678815,0.00856532,0.0019700236,-0.03505614,-0.010648405,0.010764894,-0.03755036,-0.018048842,-0.0009781595,-0.027244568,-0.01102528,-0.0154038705,-0.019145202,0.007448402,-0.04212767,-0.010477099,0.016925072,0.010538769,0.024188463,0.015719075,-0.0059888717,0.00075974385,-0.014197874,-0.008311786,-0.0049747378,-0.00222527,-0.018158477,-0.0179255,0.0014218431,-0.026600456,-0.012820571,-0.0011708792,0.005598293,-0.00018993596,-0.0089147845,0.005447543,-0.01157346,-0.005759321,-0.010867678,0.021516083,-0.004539619,-0.0021344777,-0.0025884395,0.035659138,-0.038920812,-0.008154185,-0.0012145623,-3.2227013e-05,0.0027734505,-0.010203009,-0.007105789,-0.02159831,-0.022365762,0.021516083,-0.028834293,0.0025935788,-0.008325491,0.0065952963,-0.013416717,0.0070372666,-0.007393584,0.004426557,0.006156752,0.00060257025,0.015047554,0.0034586762,0.01567796,-0.0075374814,0.021228287,0.008469388,-0.021831287,-0.0080171395,-0.025887823,-0.023516942,0.048322108,-0.0042381203,0.006358893,-0.01889852,-0.008558467,-0.018843703,0.007982878,-0.0027922941,-0.011861254,-0.015225712,0.002574735,0.013272819,-0.017048413,-0.00975076,-0.019200021,-0.015842415,0.009044978,-0.012169606,-0.003590582,-0.013361898,-1.1134915e-05,-0.00642399,0.0047314824,-0.035165776,-0.047335383,-0.038948223,0.024928506,0.013444126,0.031849284,0.03245228,0.015869824,0.026737502,0.01600687,-0.0040531093,0.00036830874,0.014444555,-0.0065713134,-0.022735784,0.010429134,0.011641983,0.015143485,-0.0036625308,0.0009070673,0.0013850122,0.014951622,-0.0077224923,-0.022434285,-0.0013241984,-0.017582888,-0.011765323,0.019295951,-0.021982037,-0.01051136,-0.017733637,0.006646688,0.03053365,-0.014143056,0.021200879,-0.011004723,0.010470247,-0.012162754,0.03450796,-0.014951622,0.0057730256,-0.011018427,0.0011957187,-0.0042689554,0.019117793,0.021214584,0.018857408,-0.005170027,-0.0029687397,0.0094218515,0.010100225,0.028286112,0.005012425,0.015253121,-0.003998291,-0.012073674,-0.0073798792,-0.030451424,-0.026860842,-0.034096826,-4.1729167e-05,-0.009764465,-0.020954197,0.02047454,-0.012416287,-0.00938759,-0.015253121,-0.007791015,0.04229212,0.019021861,0.028025726,0.0156094385,-0.01108695,-0.018240705,0.014526783,-0.009867248,-0.005118635,0.011641983,0.035878412,-0.021790173,-0.031794466,0.0057421904,0.010895086,0.015760189,-0.045005616,0.02527112,0.023407305,0.012957616,-0.024339212,0.009360181,-0.04072981,0.008990159,-0.010819712,-0.026463412,0.023229146,-0.020488245,-0.024010304,0.018720362,-0.019542633,0.0029567482,-0.030944787,-0.031081831,0.008195298,0.0032770913,-0.018583318,0.02229724,0.0058860877,0.010799155,0.031492967,0.0051049306,0.02302358,-0.001621415,0.0020710942,-0.0029139218,-0.003535764,0.028258702,0.0005083517,-0.012539628,0.0027100672,0.011456972,0.031547785,-0.010518213,-0.016116505,0.007907503,-0.014663828,0.009271102,0.034370914,-0.025216302,-0.0046492554,-0.0179255,0.00036895115,0.004930198,-0.018473681,0.011436415,0.007338766,-0.0049952944,-0.002545613,0.02232465,0.0075922995,0.01862443,0.005923775,-0.009058682,0.005543475,0.04229212,-0.011429562,0.003826985,0.029629154,0.018309228,-0.034453142,-0.010422281,-0.025654845,-0.008935342,0.021091243,-0.022091672,-0.02621673,-0.012197015,-0.0055640317,0.024078827,0.012375174,-0.0078115715,-0.00953834,0.020721221,-0.010264679,-0.020529358,-0.0031263416,0.019611156,-0.01835034,-0.0039263424,-0.005632554,-0.02624414,0.02229724,-0.028053135,0.0022629574,0.022338353,-0.035878412,-0.0322056,0.017843274,0.025051847,-0.03198633,-0.008716069,0.001297646,0.0053892992,-0.016541345,0.005543475,-0.0009704507,-0.0074621066,0.026956774,0.019940063,0.007366175,0.0076471176,-0.0068214205,-0.037385907,-0.005817565,0.017349912,-0.017610297,0.007873242,-0.0020265547,0.029053565,0.009826135,-0.021009017,-0.04355294,-0.003131481,-0.04486857,-0.030999605,-0.0069550397,0.0046492554,0.03505614,0.018432569,0.013320785,0.002917348,0.0037139226,0.010113929,-0.010901939,-0.008380309,0.023119511,-0.030177334,-0.00375161,-0.0078047193,-0.012327208,-0.009853544,0.006650114,0.006937909,0.017075822,0.034535367,-0.014047124,-0.022105377,0.0010218426,0.019515224,-0.007976025,-0.01400601,-0.009223136,-0.0400994,-0.010072816,0.019707087,0.0037104965,-0.014622713,-0.009661681,9.502152e-05,0.0076471176,-0.0053413333,-0.0024479683,0.018569613,-0.0005841548,-0.026326366,0.015212008,-0.012752048,0.0033833012,0.024777757,0.027217159,0.008955899,-0.0065781656,0.020981608,-0.0048890845,-0.022776898,-0.014622713,-0.009134057,0.027258273,-0.014444555,0.019474111,-0.034562778,-0.0007126346,0.009497226,-0.026463412,-0.027833862,0.028943928,0.01324541,-0.02801202,-0.016760617,0.021310516,-0.027696818,-0.010991018,0.01445826,0.014430851,-0.025654845,0.017322503,-0.010881382,-0.018405158,0.004018848,0.021118652,0.00033019308,-0.015458689,0.02649082,0.19274025,0.005498935,0.032342646,0.00944926,-0.024174757,0.0035700253,0.0046698125,0.011655687,0.015746484,0.01002485,-0.026285253,0.02327026,-0.015253121,0.0057010767,-0.0010552474,-0.0040873704,-0.042401757,-0.021351628,-0.03505614,-0.016596163,-0.0037927236,0.024065122,-0.011772175,-0.02329767,0.0003946471,0.020666404,-0.010435985,-0.017473252,0.034124233,0.029026154,-0.0045910114,-0.02229724,-0.0127589,0.008887376,-0.0020197025,0.0076813786,-0.00079186383,-0.005307072,0.039359357,0.008071957,-0.026353776,0.005248828,0.014376032,0.006053968,0.004522489,0.0027665982,-0.0009635985,-0.005875809,0.008181593,0.0028179903,-0.01643171,-0.030095108,0.028368339,0.012244981,-0.014951622,-0.0044231312,0.025997458,0.00088565407,0.0037892973,0.0075991517,0.007530629,0.043635163,-0.0021841566,0.0026346922,-0.012553332,-0.0010655258,-0.02712123,-0.0042689554,0.021612015,0.0026483969,0.009880953,-0.0051015043,-0.018665545,-0.00022740924,-0.03061588,-0.02174906,0.017391024,0.0136085795,0.026189322,0.016815435,0.009134057,-0.00036338367,-0.0039229165,-0.019611156,-0.01108695,-0.025462983,0.015623143,-0.0027237716,-0.03395978,0.013368751,0.0019306231,-0.009250545,-0.008805148,-0.010250974,-0.017898092,0.008866819,-0.0006496795,0.03176706,-0.008880523,-0.0077567534,-0.010086521,0.020543063,0.03316492,0.0068522557,-0.0011837272,-0.01737732,-0.0012325495,0.0069173523,0.003854394,-0.010415428,-0.008832558,-0.039359357,0.0006119921,-0.0087777395,-0.010648405,0.0328086,0.008935342,-0.02506555,-0.0001655248,0.014101942,-0.011765323,-0.0138621135,0.0026346922,0.004234694,-0.031081831,0.009593158,-0.0027426153,0.0060745245,-0.010716928,-0.036316954,0.01855591,-0.0005190584,0.016746912,0.009024421,-0.0064719557,0.00771564,-0.01218331,-0.023640282,0.012018857,0.008818853,-0.007393584,-0.0011640269,0.014677532,0.008517354,-0.017774751,-0.01473235,0.03053365,0.010545622,-0.01658246,-0.041606896,-0.02444885,-0.0076334127,0.00030299817,-0.023133215,0.02150238,-0.0063691717,-0.007420993,-0.029875835,0.022886533,0.0072976523,-0.025380755,0.04015422,0.012025709,0.005197436,-0.007969174,0.016445413,-0.17530811,-0.0013010721,0.029683972,-0.025846709,0.0039743083,-0.008599581,0.009277955,0.00445054,-0.008359752,0.0022321222,0.0050740954,0.025504095,-0.04116835,0.017774751,0.014348623,0.011258257,0.020406017,0.016445413,0.032370057,0.01263556,0.029519517,-0.02427069,0.014567896,0.026737502,-0.003215421,-0.005814139,-0.015965756,0.033987187,-0.011779028,-0.0032650998,-0.007427845,-0.00031242004,0.03308269,-0.002281801,-0.013039842,-0.01284798,-0.015362757,0.0051631746,0.00334904,0.015869824,0.034233868,0.01567796,0.005060391,-0.0071606073,0.008887376,0.031027013,0.01740473,0.0071948683,0.007153755,-0.008654399,0.00275632,-0.028505383,0.00798973,0.00033533227,0.0075785946,0.006985875,0.008277525,0.01615762,0.009154614,-0.0010912217,-0.012094231,-0.02272208,0.017856978,-0.015020144,-0.023612874,-0.020734927,-0.013553762,-0.0042209895,-0.00030021445,0.017829569,-0.015993165,0.008119923,-0.017911797,-0.02174906,0.009579454,-0.0065507563,-0.028450565,0.01628096,0.014951622,0.010435985,-0.012203868,0.05440691,0.0012702369,-0.004306643,0.016541345,0.001070665,-0.0011503224,-0.010052259,-0.025874117,-0.023873258,0.004337478,-0.03363087,0.0049062152,-0.024051419,0.01615762,0.009771316,-0.00045910114,0.0073593226,0.045252297,-0.00222527,0.003081802,0.004933624,-0.027504954,0.015157189,0.04322403,0.0068042898,-0.01500644,0.005224845,0.033247143,0.019446703,-0.027559772,0.0050775213,0.020844562,0.00030920803,-0.017870683,0.016815435,0.018062547,-0.008537911,0.00021638139,-0.0028591037,0.011436415,-0.004878806,-0.012841127,-0.017980319,0.0056668157,-0.0038132803,-0.10349647,-0.0056770938,0.013279672,0.00073918706,-0.009092944,0.007976025,-0.0034089973,0.010203009,-0.007921208,0.008736626,-0.032095965,-0.040017173,-0.004988442,-0.007023562,0.04993924,0.009942623,-0.015965756,-0.007914355,0.0331101,0.023201738,-0.026408594,-0.017911797,0.009127204,-0.0030715237,0.012032561,-0.0032222732,-0.017610297,0.005704503,0.018487386,0.02791609,0.009367034,-0.026394889,0.030670697,-0.015417576,-0.0065781656,-0.016842844,-0.029903244,-0.019857837,0.024298098,-0.03985272,0.005170027,0.0038646723,0.019008158,-0.026024867,-0.002201287,-0.012436844,-0.010847121,0.031575195,0.013944341,-0.01855591,-0.012731492,-0.022283535,0.009874101,-0.00012730206,0.03053365,-0.014280101,-0.0041661714,0.0015837277,-0.018048842,0.01952893,0.0060436893,0.0024616728,-0.022776898,0.024681825,0.016568754,0.011868107,-0.042209893,0.001110922,0.0148282815,0.019665973,-0.035522092,0.016376892,-0.023092102,-0.0051015043,-0.0032222732,-0.004210711,-0.021817582,-0.008161036,0.008942193,-0.017089525,-0.007934912,-0.029601745,0.0010226992,-0.01867925,0.02891652,0.014430851,0.0029379046,0.008729774,0.021707946,-0.024503667,0.032589328,0.024585893,0.0054030037,-0.015636848,0.009860396,0.021406448,-0.011662539,0.02129681,-0.018843703,0.010415428,-0.041113533,0.0082706725,-0.06945446,0.0218724,0.027203456,0.0028591037,0.0018877964,-0.007941765,0.00041006468,0.00476917,-0.029793607,-0.010956757,-0.024489962,0.027080115,-0.02484628,0.01403342,-0.0022321222,-0.0037036443,0.012937059,0.005385873,0.027696818,0.007242834,-0.021886105,0.018487386,0.036070272,0.0041182055,-0.035165776,-0.00905183,0.00021809446,0.017158048,0.005248828,-0.009442409,0.01290965,-0.023215443,-0.017007299,0.004525915,0.026326366,-0.015061258,0.0046458296,-0.012539628,0.041771352,0.022913944,-0.015458689,-0.007009858,0.0018843703,-0.024106236,-0.012752048,0.005457822,0.012155902,0.012820571,0.009552045,-0.015650552,0.019679679,0.020159336,-0.012676673,-0.018227,-0.010264679,-0.029793607,0.010908791,0.025531504,0.021680538,-0.029848427,0.020337494,0.008812001,0.010086521,0.012292947,-0.008613286,0.0019426144,-0.0031160633,0.00084068615,0.011203438,-0.027957203,-0.030232152,-0.008366604,-0.010086521,0.020364905,0.010888235,-0.013197444,-0.021858696,0.012553332,-0.0043100687,0.0019066401,-0.0060882294,-0.015993165,-0.02691566,0.04182617,0.008407718,0.008380309,0.015842415,0.028258702,0.008784592,0.011347336,-0.015910938,0.0033867273,0.0064513986,0.001553749,-0.013964897,0.004765744,0.010079668,-0.010648405,0.031383332,0.037988905,-0.002358889,-0.0013224854,0.0075854473,-0.04651311,-0.027409023,0.011991448,0.006694654,-0.017555479,0.01582871,0.010607292,-0.019940063,-0.005176879,-0.023996599,0.012662969,-0.021461265,0.010004293,0.013039842,-0.0141841695,-0.01682914,0.013704511,0.020954197,0.015856119,-0.020433426,-0.019474111,0.020090815,0.006300649,0.03135592,-0.011319926,0.012560185,-0.021557197,0.0051083565,-0.0051083565,-0.015239417,-0.015719075,-0.032424875,0.00047409046,0.013718216,-0.0052351234,-0.021982037,0.09001123,0.009154614,-0.010977314,0.016609868,-0.01597946,0.026340071,0.0040599615,0.012053118,0.003268526,-0.020776039,0.028258702,-0.013382455,-0.01284798,-0.046239022,0.0020334069,-0.00040385482,-0.025038142,0.0089833075,-0.02062529,0.0147597585,0.013773034,-0.0012000013,0.019432997,0.012676673,-0.014293806,-0.00315889,0.02150238,-0.034370914,-0.022338353,-0.010792303,-0.007688231,0.010429134,-0.0048822323,-0.025805594,0.012107936,-0.008859967,-0.0030749498,0.026107095,0.027093818,0.035001323,0.0054269866,0.017075822,-0.0076471176,-0.022516513,-0.009641124,0.004402574,-0.0018997879,-0.030725515,-0.017267684]', 'create a sankey plot of refugee migration by country for Kenya using HAPI data as an image', '{"mem_type": "recipe", "custom_id": "df2123ed-60e0-40ef-b515-0131767ffecf"}', 'df2123ed-60e0-40ef-b515-0131767ffecf', 'a763835c-ac29-4fc1-a383-59708aa2c455'); -INSERT INTO langchain_pg_embedding ("collection_id", "embedding", "document", "cmetadata", "custom_id", "uuid") VALUES ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d', '[-0.0064411205,-0.02007711,0.0062492574,-0.0119982995,0.0045841592,0.028532794,-0.023037285,0.001954606,-0.012286095,-0.033493824,0.0011725923,0.008428275,0.010614144,-0.010141338,-0.0035768775,0.0054201344,0.010607292,-0.038043723,0.009641124,-0.014663828,-0.030506242,0.03113665,0.026778616,-0.021831287,-0.002362315,-0.0006094225,0.015020144,-0.027326796,-0.008346047,-0.014937918,-0.00031734508,-0.016952481,0.013745625,-0.024832575,-0.023215443,-0.008784592,-0.0034706676,-0.007044119,0.021036426,0.0013190592,-0.001659959,-0.024435144,-0.003025271,-0.022708375,-0.00026124224,0.026161913,0.017788457,-0.021968331,-0.029821018,0.049857013,0.016418004,0.011230847,-0.024325509,-0.007044119,0.008880523,0.027998317,-0.017185457,-0.023859555,-0.0064993645,-0.02117347,0.015184599,0.016089097,-0.019748202,0.016349481,-0.028998746,-0.025092961,0.0045601763,0.009182023,0.036371775,0.0002856534,0.02943729,0.037988905,-0.010312645,-0.009003864,0.010497656,0.011621426,-0.016239846,0.010189304,-0.0019768758,0.0021087816,0.018871112,-0.0488977,0.008935342,0.013348194,0.017843274,-0.0030115664,-0.010072816,0.051364508,-0.0042483984,-0.003806428,-0.015102372,0.014499373,0.0074552544,-0.012464253,-0.0018843703,-0.004772596,-0.015842415,0.022680966,0.03168483,-0.047445018,-0.019474111,-0.011436415,-0.004686943,-0.01339616,-0.014595305,-0.020556767,-0.015116076,0.0031725944,0.035522092,-0.022626149,-0.008832558,0.032671556,-0.0019460407,-0.023229146,-0.015212008,-0.032424875,0.021228287,0.008674956,0.005447543,-0.03228783,0.019542633,0.02287283,0.00020000021,-0.012101084,0.02718975,0.038865995,-0.0103880195,-0.039331947,-0.015239417,-0.014362328,-0.004868528,-0.015924642,0.019254839,-0.004094223,-0.007475811,0.03395978,-0.022735784,0.011518642,-0.020145632,-0.03061588,0.016294664,0.012779457,0.020501949,-0.00044967927,-0.0203512,0.015650552,-0.00016263401,0.01752807,-0.0042141373,-0.014992735,-0.00038179912,-0.014197874,-0.0022646706,-0.0045122104,-0.020186745,0.014567896,-0.0063349106,-0.00273405,-0.01917261,-0.008448832,-0.021310516,0.0016531067,-0.014280101,0.0094218515,0.024489962,0.03168483,-0.005286515,-0.010668962,-0.0012916502,-0.012608151,-0.0054749525,0.029080974,-0.013896375,-0.0018432568,0.0142526915,-0.0024976472,-0.010806007,0.027696818,-0.029875835,-0.006722063,-0.022585034,0.024983324,0.005930627,0.015787598,-0.0012231276,-0.027039,0.018884817,-0.013156331,-0.008716069,0.007893799,0.013951193,0.020776039,-0.0012762327,0.005231697,-0.6297497,-0.028053135,0.012580741,-0.02457219,0.013807295,0.011223995,0.003456963,-0.009682237,-0.020241564,0.010922495,0.0024599598,0.027970908,0.000107976564,-0.020844562,-0.009202579,-0.027833862,-0.012950763,-0.02144756,0.028231293,0.01051136,-0.0050329817,0.008071957,0.0022389747,0.0065164953,-0.0060334112,-0.00092077185,0.029766198,-0.0033456138,-0.0085242065,0.03198633,-0.012895945,0.0011092089,-0.0012291233,-0.017966615,0.0434433,0.00019903661,-0.00684883,0.023078397,0.0130329905,0.03897563,-0.013478387,-0.008887376,0.023653986,0.010655258,0.0004023559,0.013375604,0.011703652,-0.013773034,-0.0054441174,-0.032644145,-0.009017568,0.0061293426,-0.036837727,0.0069105,0.00669808,-0.007510072,-0.00045439022,-0.018295523,0.022269832,-0.001218845,0.0041113533,0.008215855,-0.007749901,0.002117347,0.005327629,0.0018672397,-0.0021276255,0.008099366,0.007907503,-0.019090384,0.009483522,0.014869395,-0.00701671,-0.012279242,0.02087197,0.024229577,0.006944761,-0.015650552,-0.008969603,0.0040359786,0.004443688,0.0064513986,-0.012861684,0.0031691683,0.0063863024,-0.0020830857,-0.050185923,0.003105785,0.010155043,0.016253551,0.001070665,0.009435556,-0.008928489,-0.017596593,-0.009976884,0.018610727,-0.012498515,0.013615432,0.027683113,-0.037687406,-0.022434285,-0.0092368405,-0.0027015018,-0.014869395,0.03790668,-0.0005241976,-0.038646724,0.011436415,0.04267585,-0.03428869,-0.019885246,-0.018514795,-0.02579189,-0.026710093,0.021159766,-0.031520378,0.036070272,0.00084282743,0.02494221,0.0046732384,0.039468993,0.0097439075,0.03056106,-0.025928935,0.0063554673,0.029053565,0.012978172,-0.013773034,-0.025928935,0.011724209,0.010216713,0.021940922,0.029848427,-0.012800014,0.025449278,-0.0037892973,0.004563602,0.0014800873,-0.0161028,-0.033301964,-0.014389737,-0.008770888,-0.010264679,-0.030369198,0.0070372666,-0.00621157,-0.011970891,0.0053413333,0.007743049,-0.009058682,0.0052351234,-0.011881812,-0.015773892,-0.0035768775,0.013951193,-0.0036933657,0.020830857,-0.0073798792,-0.014910509,-0.015527211,0.01227239,0.021762764,-0.019337066,-0.013738773,-0.018473681,0.00034304106,0.009832987,0.028286112,0.016513936,-0.023832146,-0.016650982,-0.021091243,-0.035439868,0.025956344,-0.0034621023,0.017212866,-0.017706228,0.0021533214,-0.007688231,-0.011066393,0.00095332006,-0.0074621066,-0.0029550353,-0.02739532,0.031218877,-0.010620996,0.019556338,0.014019716,0.005601719,0.030670697,-0.025421869,0.020885676,0.010470247,0.018747771,-0.0027220587,0.010991018,-0.006197865,0.035549503,0.012176459,0.016719503,0.011648835,0.019158907,0.010052259,0.0006616709,0.03905786,-0.029848427,-0.00771564,-0.027573477,0.010072816,0.019364474,0.024805166,-0.04210026,-0.013067252,-0.005707929,0.006300649,-0.0051837317,0.0014877961,0.004714352,-0.043580346,-0.016952481,-0.011196586,-0.015444985,0.019542633,0.004094223,-0.0043100687,-0.009092944,-0.011134916,-0.0017301945,0.02396919,-0.027504954,-0.0002822273,0.020543063,-0.028423157,0.013951193,0.029821018,0.009908361,0.0027152062,-0.0018603874,0.014211578,-0.001233406,0.026504526,-0.011525494,0.002490795,-0.00953834,-0.0009019282,0.0035391902,0.01752807,0.017624002,-0.02891652,0.042237304,0.010490804,0.011662539,-0.012135345,0.03308269,0.020652698,0.0026826581,0.0039777346,0.015513507,0.035768773,0.020954197,0.02861502,0.008284377,-0.0069173523,-0.012258685,-0.0027477546,-0.009367034,-0.021091243,-0.0033558921,-0.014334919,0.031081831,-0.013416717,-0.013773034,-0.008859967,-0.0020710942,0.00068822346,-0.024503667,0.0045361933,0.010490804,0.014348623,0.0064137112,-0.028313521,-0.025805594,0.023955487,-0.0038441154,-0.0040257,-0.04407371,-0.025038142,0.015088667,-0.036344364,0.012601298,0.0015374749,0.016185028,0.031520378,-0.014129351,-0.010490804,0.0016625285,0.018665545,-0.0039743083,0.025504095,0.021886105,-0.01588353,0.005190584,-0.00783898,-0.03395978,0.039688267,-0.00026316944,0.011525494,-0.017171754,-0.0061773085,-0.002973879,0.0031434724,-0.002442829,-0.010004293,0.020364905,-0.011409006,-0.0057182075,-0.021913514,0.019885246,0.016746912,0.019542633,-0.0141156465,-0.048979923,-0.024202168,0.026531935,0.071921274,-0.007770458,0.0043100687,-0.016253551,0.0036111388,-0.00686596,-0.021694241,-0.026038572,0.012155902,-0.0069002216,-0.0112377,-0.0003089939,0.023749918,0.0004291225,0.027217159,0.0041901544,-0.014143056,-0.016883958,0.0060231327,-0.008421422,-0.004063388,-0.01397175,-0.0027905812,0.017898092,-0.0021858695,0.010381168,0.022900239,0.02761459,0.019158907,-0.001286511,0.00996318,0.034453142,-0.0086612515,0.02396919,0.004056535,0.014595305,0.037605178,-0.003350753,0.006187587,-0.012368321,0.016185028,0.01029894,-0.002281801,-0.010463394,0.0117447665,0.0068522557,-0.017980319,0.021214584,-0.0074004363,-0.0014860829,0.028313521,-0.02679232,-0.011484381,-0.008537911,0.0017413294,0.028834293,0.00023062123,0.0013678815,0.00856532,0.0019700236,-0.03505614,-0.010648405,0.010764894,-0.03755036,-0.018048842,-0.0009781595,-0.027244568,-0.01102528,-0.0154038705,-0.019145202,0.007448402,-0.04212767,-0.010477099,0.016925072,0.010538769,0.024188463,0.015719075,-0.0059888717,0.00075974385,-0.014197874,-0.008311786,-0.0049747378,-0.00222527,-0.018158477,-0.0179255,0.0014218431,-0.026600456,-0.012820571,-0.0011708792,0.005598293,-0.00018993596,-0.0089147845,0.005447543,-0.01157346,-0.005759321,-0.010867678,0.021516083,-0.004539619,-0.0021344777,-0.0025884395,0.035659138,-0.038920812,-0.008154185,-0.0012145623,-3.2227013e-05,0.0027734505,-0.010203009,-0.007105789,-0.02159831,-0.022365762,0.021516083,-0.028834293,0.0025935788,-0.008325491,0.0065952963,-0.013416717,0.0070372666,-0.007393584,0.004426557,0.006156752,0.00060257025,0.015047554,0.0034586762,0.01567796,-0.0075374814,0.021228287,0.008469388,-0.021831287,-0.0080171395,-0.025887823,-0.023516942,0.048322108,-0.0042381203,0.006358893,-0.01889852,-0.008558467,-0.018843703,0.007982878,-0.0027922941,-0.011861254,-0.015225712,0.002574735,0.013272819,-0.017048413,-0.00975076,-0.019200021,-0.015842415,0.009044978,-0.012169606,-0.003590582,-0.013361898,-1.1134915e-05,-0.00642399,0.0047314824,-0.035165776,-0.047335383,-0.038948223,0.024928506,0.013444126,0.031849284,0.03245228,0.015869824,0.026737502,0.01600687,-0.0040531093,0.00036830874,0.014444555,-0.0065713134,-0.022735784,0.010429134,0.011641983,0.015143485,-0.0036625308,0.0009070673,0.0013850122,0.014951622,-0.0077224923,-0.022434285,-0.0013241984,-0.017582888,-0.011765323,0.019295951,-0.021982037,-0.01051136,-0.017733637,0.006646688,0.03053365,-0.014143056,0.021200879,-0.011004723,0.010470247,-0.012162754,0.03450796,-0.014951622,0.0057730256,-0.011018427,0.0011957187,-0.0042689554,0.019117793,0.021214584,0.018857408,-0.005170027,-0.0029687397,0.0094218515,0.010100225,0.028286112,0.005012425,0.015253121,-0.003998291,-0.012073674,-0.0073798792,-0.030451424,-0.026860842,-0.034096826,-4.1729167e-05,-0.009764465,-0.020954197,0.02047454,-0.012416287,-0.00938759,-0.015253121,-0.007791015,0.04229212,0.019021861,0.028025726,0.0156094385,-0.01108695,-0.018240705,0.014526783,-0.009867248,-0.005118635,0.011641983,0.035878412,-0.021790173,-0.031794466,0.0057421904,0.010895086,0.015760189,-0.045005616,0.02527112,0.023407305,0.012957616,-0.024339212,0.009360181,-0.04072981,0.008990159,-0.010819712,-0.026463412,0.023229146,-0.020488245,-0.024010304,0.018720362,-0.019542633,0.0029567482,-0.030944787,-0.031081831,0.008195298,0.0032770913,-0.018583318,0.02229724,0.0058860877,0.010799155,0.031492967,0.0051049306,0.02302358,-0.001621415,0.0020710942,-0.0029139218,-0.003535764,0.028258702,0.0005083517,-0.012539628,0.0027100672,0.011456972,0.031547785,-0.010518213,-0.016116505,0.007907503,-0.014663828,0.009271102,0.034370914,-0.025216302,-0.0046492554,-0.0179255,0.00036895115,0.004930198,-0.018473681,0.011436415,0.007338766,-0.0049952944,-0.002545613,0.02232465,0.0075922995,0.01862443,0.005923775,-0.009058682,0.005543475,0.04229212,-0.011429562,0.003826985,0.029629154,0.018309228,-0.034453142,-0.010422281,-0.025654845,-0.008935342,0.021091243,-0.022091672,-0.02621673,-0.012197015,-0.0055640317,0.024078827,0.012375174,-0.0078115715,-0.00953834,0.020721221,-0.010264679,-0.020529358,-0.0031263416,0.019611156,-0.01835034,-0.0039263424,-0.005632554,-0.02624414,0.02229724,-0.028053135,0.0022629574,0.022338353,-0.035878412,-0.0322056,0.017843274,0.025051847,-0.03198633,-0.008716069,0.001297646,0.0053892992,-0.016541345,0.005543475,-0.0009704507,-0.0074621066,0.026956774,0.019940063,0.007366175,0.0076471176,-0.0068214205,-0.037385907,-0.005817565,0.017349912,-0.017610297,0.007873242,-0.0020265547,0.029053565,0.009826135,-0.021009017,-0.04355294,-0.003131481,-0.04486857,-0.030999605,-0.0069550397,0.0046492554,0.03505614,0.018432569,0.013320785,0.002917348,0.0037139226,0.010113929,-0.010901939,-0.008380309,0.023119511,-0.030177334,-0.00375161,-0.0078047193,-0.012327208,-0.009853544,0.006650114,0.006937909,0.017075822,0.034535367,-0.014047124,-0.022105377,0.0010218426,0.019515224,-0.007976025,-0.01400601,-0.009223136,-0.0400994,-0.010072816,0.019707087,0.0037104965,-0.014622713,-0.009661681,9.502152e-05,0.0076471176,-0.0053413333,-0.0024479683,0.018569613,-0.0005841548,-0.026326366,0.015212008,-0.012752048,0.0033833012,0.024777757,0.027217159,0.008955899,-0.0065781656,0.020981608,-0.0048890845,-0.022776898,-0.014622713,-0.009134057,0.027258273,-0.014444555,0.019474111,-0.034562778,-0.0007126346,0.009497226,-0.026463412,-0.027833862,0.028943928,0.01324541,-0.02801202,-0.016760617,0.021310516,-0.027696818,-0.010991018,0.01445826,0.014430851,-0.025654845,0.017322503,-0.010881382,-0.018405158,0.004018848,0.021118652,0.00033019308,-0.015458689,0.02649082,0.19274025,0.005498935,0.032342646,0.00944926,-0.024174757,0.0035700253,0.0046698125,0.011655687,0.015746484,0.01002485,-0.026285253,0.02327026,-0.015253121,0.0057010767,-0.0010552474,-0.0040873704,-0.042401757,-0.021351628,-0.03505614,-0.016596163,-0.0037927236,0.024065122,-0.011772175,-0.02329767,0.0003946471,0.020666404,-0.010435985,-0.017473252,0.034124233,0.029026154,-0.0045910114,-0.02229724,-0.0127589,0.008887376,-0.0020197025,0.0076813786,-0.00079186383,-0.005307072,0.039359357,0.008071957,-0.026353776,0.005248828,0.014376032,0.006053968,0.004522489,0.0027665982,-0.0009635985,-0.005875809,0.008181593,0.0028179903,-0.01643171,-0.030095108,0.028368339,0.012244981,-0.014951622,-0.0044231312,0.025997458,0.00088565407,0.0037892973,0.0075991517,0.007530629,0.043635163,-0.0021841566,0.0026346922,-0.012553332,-0.0010655258,-0.02712123,-0.0042689554,0.021612015,0.0026483969,0.009880953,-0.0051015043,-0.018665545,-0.00022740924,-0.03061588,-0.02174906,0.017391024,0.0136085795,0.026189322,0.016815435,0.009134057,-0.00036338367,-0.0039229165,-0.019611156,-0.01108695,-0.025462983,0.015623143,-0.0027237716,-0.03395978,0.013368751,0.0019306231,-0.009250545,-0.008805148,-0.010250974,-0.017898092,0.008866819,-0.0006496795,0.03176706,-0.008880523,-0.0077567534,-0.010086521,0.020543063,0.03316492,0.0068522557,-0.0011837272,-0.01737732,-0.0012325495,0.0069173523,0.003854394,-0.010415428,-0.008832558,-0.039359357,0.0006119921,-0.0087777395,-0.010648405,0.0328086,0.008935342,-0.02506555,-0.0001655248,0.014101942,-0.011765323,-0.0138621135,0.0026346922,0.004234694,-0.031081831,0.009593158,-0.0027426153,0.0060745245,-0.010716928,-0.036316954,0.01855591,-0.0005190584,0.016746912,0.009024421,-0.0064719557,0.00771564,-0.01218331,-0.023640282,0.012018857,0.008818853,-0.007393584,-0.0011640269,0.014677532,0.008517354,-0.017774751,-0.01473235,0.03053365,0.010545622,-0.01658246,-0.041606896,-0.02444885,-0.0076334127,0.00030299817,-0.023133215,0.02150238,-0.0063691717,-0.007420993,-0.029875835,0.022886533,0.0072976523,-0.025380755,0.04015422,0.012025709,0.005197436,-0.007969174,0.016445413,-0.17530811,-0.0013010721,0.029683972,-0.025846709,0.0039743083,-0.008599581,0.009277955,0.00445054,-0.008359752,0.0022321222,0.0050740954,0.025504095,-0.04116835,0.017774751,0.014348623,0.011258257,0.020406017,0.016445413,0.032370057,0.01263556,0.029519517,-0.02427069,0.014567896,0.026737502,-0.003215421,-0.005814139,-0.015965756,0.033987187,-0.011779028,-0.0032650998,-0.007427845,-0.00031242004,0.03308269,-0.002281801,-0.013039842,-0.01284798,-0.015362757,0.0051631746,0.00334904,0.015869824,0.034233868,0.01567796,0.005060391,-0.0071606073,0.008887376,0.031027013,0.01740473,0.0071948683,0.007153755,-0.008654399,0.00275632,-0.028505383,0.00798973,0.00033533227,0.0075785946,0.006985875,0.008277525,0.01615762,0.009154614,-0.0010912217,-0.012094231,-0.02272208,0.017856978,-0.015020144,-0.023612874,-0.020734927,-0.013553762,-0.0042209895,-0.00030021445,0.017829569,-0.015993165,0.008119923,-0.017911797,-0.02174906,0.009579454,-0.0065507563,-0.028450565,0.01628096,0.014951622,0.010435985,-0.012203868,0.05440691,0.0012702369,-0.004306643,0.016541345,0.001070665,-0.0011503224,-0.010052259,-0.025874117,-0.023873258,0.004337478,-0.03363087,0.0049062152,-0.024051419,0.01615762,0.009771316,-0.00045910114,0.0073593226,0.045252297,-0.00222527,0.003081802,0.004933624,-0.027504954,0.015157189,0.04322403,0.0068042898,-0.01500644,0.005224845,0.033247143,0.019446703,-0.027559772,0.0050775213,0.020844562,0.00030920803,-0.017870683,0.016815435,0.018062547,-0.008537911,0.00021638139,-0.0028591037,0.011436415,-0.004878806,-0.012841127,-0.017980319,0.0056668157,-0.0038132803,-0.10349647,-0.0056770938,0.013279672,0.00073918706,-0.009092944,0.007976025,-0.0034089973,0.010203009,-0.007921208,0.008736626,-0.032095965,-0.040017173,-0.004988442,-0.007023562,0.04993924,0.009942623,-0.015965756,-0.007914355,0.0331101,0.023201738,-0.026408594,-0.017911797,0.009127204,-0.0030715237,0.012032561,-0.0032222732,-0.017610297,0.005704503,0.018487386,0.02791609,0.009367034,-0.026394889,0.030670697,-0.015417576,-0.0065781656,-0.016842844,-0.029903244,-0.019857837,0.024298098,-0.03985272,0.005170027,0.0038646723,0.019008158,-0.026024867,-0.002201287,-0.012436844,-0.010847121,0.031575195,0.013944341,-0.01855591,-0.012731492,-0.022283535,0.009874101,-0.00012730206,0.03053365,-0.014280101,-0.0041661714,0.0015837277,-0.018048842,0.01952893,0.0060436893,0.0024616728,-0.022776898,0.024681825,0.016568754,0.011868107,-0.042209893,0.001110922,0.0148282815,0.019665973,-0.035522092,0.016376892,-0.023092102,-0.0051015043,-0.0032222732,-0.004210711,-0.021817582,-0.008161036,0.008942193,-0.017089525,-0.007934912,-0.029601745,0.0010226992,-0.01867925,0.02891652,0.014430851,0.0029379046,0.008729774,0.021707946,-0.024503667,0.032589328,0.024585893,0.0054030037,-0.015636848,0.009860396,0.021406448,-0.011662539,0.02129681,-0.018843703,0.010415428,-0.041113533,0.0082706725,-0.06945446,0.0218724,0.027203456,0.0028591037,0.0018877964,-0.007941765,0.00041006468,0.00476917,-0.029793607,-0.010956757,-0.024489962,0.027080115,-0.02484628,0.01403342,-0.0022321222,-0.0037036443,0.012937059,0.005385873,0.027696818,0.007242834,-0.021886105,0.018487386,0.036070272,0.0041182055,-0.035165776,-0.00905183,0.00021809446,0.017158048,0.005248828,-0.009442409,0.01290965,-0.023215443,-0.017007299,0.004525915,0.026326366,-0.015061258,0.0046458296,-0.012539628,0.041771352,0.022913944,-0.015458689,-0.007009858,0.0018843703,-0.024106236,-0.012752048,0.005457822,0.012155902,0.012820571,0.009552045,-0.015650552,0.019679679,0.020159336,-0.012676673,-0.018227,-0.010264679,-0.029793607,0.010908791,0.025531504,0.021680538,-0.029848427,0.020337494,0.008812001,0.010086521,0.012292947,-0.008613286,0.0019426144,-0.0031160633,0.00084068615,0.011203438,-0.027957203,-0.030232152,-0.008366604,-0.010086521,0.020364905,0.010888235,-0.013197444,-0.021858696,0.012553332,-0.0043100687,0.0019066401,-0.0060882294,-0.015993165,-0.02691566,0.04182617,0.008407718,0.008380309,0.015842415,0.028258702,0.008784592,0.011347336,-0.015910938,0.0033867273,0.0064513986,0.001553749,-0.013964897,0.004765744,0.010079668,-0.010648405,0.031383332,0.037988905,-0.002358889,-0.0013224854,0.0075854473,-0.04651311,-0.027409023,0.011991448,0.006694654,-0.017555479,0.01582871,0.010607292,-0.019940063,-0.005176879,-0.023996599,0.012662969,-0.021461265,0.010004293,0.013039842,-0.0141841695,-0.01682914,0.013704511,0.020954197,0.015856119,-0.020433426,-0.019474111,0.020090815,0.006300649,0.03135592,-0.011319926,0.012560185,-0.021557197,0.0051083565,-0.0051083565,-0.015239417,-0.015719075,-0.032424875,0.00047409046,0.013718216,-0.0052351234,-0.021982037,0.09001123,0.009154614,-0.010977314,0.016609868,-0.01597946,0.026340071,0.0040599615,0.012053118,0.003268526,-0.020776039,0.028258702,-0.013382455,-0.01284798,-0.046239022,0.0020334069,-0.00040385482,-0.025038142,0.0089833075,-0.02062529,0.0147597585,0.013773034,-0.0012000013,0.019432997,0.012676673,-0.014293806,-0.00315889,0.02150238,-0.034370914,-0.022338353,-0.010792303,-0.007688231,0.010429134,-0.0048822323,-0.025805594,0.012107936,-0.008859967,-0.0030749498,0.026107095,0.027093818,0.035001323,0.0054269866,0.017075822,-0.0076471176,-0.022516513,-0.009641124,0.004402574,-0.0018997879,-0.030725515,-0.017267684]', 'create a sankey plot of refugee migration by country for Kenya using HAPI data as an image', '{"mem_type": "memory", "custom_id": "2a750620-1422-46ef-a0d8-c001d277689e"}', '2a750620-1422-46ef-a0d8-c001d277689e', 'a537dbae-89be-4d0d-8a01-e684cccd7d54'); +INSERT INTO public.langchain_pg_embedding ("collection_id","embedding","document","cmetadata","custom_id","uuid") VALUES + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.0064411205,-0.02007711,0.0062492574,-0.0119982995,0.0045841592,0.028532794,-0.023037285,0.001954606,-0.012286095,-0.033493824,0.0011725923,0.008428275,0.010614144,-0.010141338,-0.0035768775,0.0054201344,0.010607292,-0.038043723,0.009641124,-0.014663828,-0.030506242,0.03113665,0.026778616,-0.021831287,-0.002362315,-0.0006094225,0.015020144,-0.027326796,-0.008346047,-0.014937918,-0.00031734508,-0.016952481,0.013745625,-0.024832575,-0.023215443,-0.008784592,-0.0034706676,-0.007044119,0.021036426,0.0013190592,-0.001659959,-0.024435144,-0.003025271,-0.022708375,-0.00026124224,0.026161913,0.017788457,-0.021968331,-0.029821018,0.049857013,0.016418004,0.011230847,-0.024325509,-0.007044119,0.008880523,0.027998317,-0.017185457,-0.023859555,-0.0064993645,-0.02117347,0.015184599,0.016089097,-0.019748202,0.016349481,-0.028998746,-0.025092961,0.0045601763,0.009182023,0.036371775,0.0002856534,0.02943729,0.037988905,-0.010312645,-0.009003864,0.010497656,0.011621426,-0.016239846,0.010189304,-0.0019768758,0.0021087816,0.018871112,-0.0488977,0.008935342,0.013348194,0.017843274,-0.0030115664,-0.010072816,0.051364508,-0.0042483984,-0.003806428,-0.015102372,0.014499373,0.0074552544,-0.012464253,-0.0018843703,-0.004772596,-0.015842415,0.022680966,0.03168483,-0.047445018,-0.019474111,-0.011436415,-0.004686943,-0.01339616,-0.014595305,-0.020556767,-0.015116076,0.0031725944,0.035522092,-0.022626149,-0.008832558,0.032671556,-0.0019460407,-0.023229146,-0.015212008,-0.032424875,0.021228287,0.008674956,0.005447543,-0.03228783,0.019542633,0.02287283,0.00020000021,-0.012101084,0.02718975,0.038865995,-0.0103880195,-0.039331947,-0.015239417,-0.014362328,-0.004868528,-0.015924642,0.019254839,-0.004094223,-0.007475811,0.03395978,-0.022735784,0.011518642,-0.020145632,-0.03061588,0.016294664,0.012779457,0.020501949,-0.00044967927,-0.0203512,0.015650552,-0.00016263401,0.01752807,-0.0042141373,-0.014992735,-0.00038179912,-0.014197874,-0.0022646706,-0.0045122104,-0.020186745,0.014567896,-0.0063349106,-0.00273405,-0.01917261,-0.008448832,-0.021310516,0.0016531067,-0.014280101,0.0094218515,0.024489962,0.03168483,-0.005286515,-0.010668962,-0.0012916502,-0.012608151,-0.0054749525,0.029080974,-0.013896375,-0.0018432568,0.0142526915,-0.0024976472,-0.010806007,0.027696818,-0.029875835,-0.006722063,-0.022585034,0.024983324,0.005930627,0.015787598,-0.0012231276,-0.027039,0.018884817,-0.013156331,-0.008716069,0.007893799,0.013951193,0.020776039,-0.0012762327,0.005231697,-0.6297497,-0.028053135,0.012580741,-0.02457219,0.013807295,0.011223995,0.003456963,-0.009682237,-0.020241564,0.010922495,0.0024599598,0.027970908,0.000107976564,-0.020844562,-0.009202579,-0.027833862,-0.012950763,-0.02144756,0.028231293,0.01051136,-0.0050329817,0.008071957,0.0022389747,0.0065164953,-0.0060334112,-0.00092077185,0.029766198,-0.0033456138,-0.0085242065,0.03198633,-0.012895945,0.0011092089,-0.0012291233,-0.017966615,0.0434433,0.00019903661,-0.00684883,0.023078397,0.0130329905,0.03897563,-0.013478387,-0.008887376,0.023653986,0.010655258,0.0004023559,0.013375604,0.011703652,-0.013773034,-0.0054441174,-0.032644145,-0.009017568,0.0061293426,-0.036837727,0.0069105,0.00669808,-0.007510072,-0.00045439022,-0.018295523,0.022269832,-0.001218845,0.0041113533,0.008215855,-0.007749901,0.002117347,0.005327629,0.0018672397,-0.0021276255,0.008099366,0.007907503,-0.019090384,0.009483522,0.014869395,-0.00701671,-0.012279242,0.02087197,0.024229577,0.006944761,-0.015650552,-0.008969603,0.0040359786,0.004443688,0.0064513986,-0.012861684,0.0031691683,0.0063863024,-0.0020830857,-0.050185923,0.003105785,0.010155043,0.016253551,0.001070665,0.009435556,-0.008928489,-0.017596593,-0.009976884,0.018610727,-0.012498515,0.013615432,0.027683113,-0.037687406,-0.022434285,-0.0092368405,-0.0027015018,-0.014869395,0.03790668,-0.0005241976,-0.038646724,0.011436415,0.04267585,-0.03428869,-0.019885246,-0.018514795,-0.02579189,-0.026710093,0.021159766,-0.031520378,0.036070272,0.00084282743,0.02494221,0.0046732384,0.039468993,0.0097439075,0.03056106,-0.025928935,0.0063554673,0.029053565,0.012978172,-0.013773034,-0.025928935,0.011724209,0.010216713,0.021940922,0.029848427,-0.012800014,0.025449278,-0.0037892973,0.004563602,0.0014800873,-0.0161028,-0.033301964,-0.014389737,-0.008770888,-0.010264679,-0.030369198,0.0070372666,-0.00621157,-0.011970891,0.0053413333,0.007743049,-0.009058682,0.0052351234,-0.011881812,-0.015773892,-0.0035768775,0.013951193,-0.0036933657,0.020830857,-0.0073798792,-0.014910509,-0.015527211,0.01227239,0.021762764,-0.019337066,-0.013738773,-0.018473681,0.00034304106,0.009832987,0.028286112,0.016513936,-0.023832146,-0.016650982,-0.021091243,-0.035439868,0.025956344,-0.0034621023,0.017212866,-0.017706228,0.0021533214,-0.007688231,-0.011066393,0.00095332006,-0.0074621066,-0.0029550353,-0.02739532,0.031218877,-0.010620996,0.019556338,0.014019716,0.005601719,0.030670697,-0.025421869,0.020885676,0.010470247,0.018747771,-0.0027220587,0.010991018,-0.006197865,0.035549503,0.012176459,0.016719503,0.011648835,0.019158907,0.010052259,0.0006616709,0.03905786,-0.029848427,-0.00771564,-0.027573477,0.010072816,0.019364474,0.024805166,-0.04210026,-0.013067252,-0.005707929,0.006300649,-0.0051837317,0.0014877961,0.004714352,-0.043580346,-0.016952481,-0.011196586,-0.015444985,0.019542633,0.004094223,-0.0043100687,-0.009092944,-0.011134916,-0.0017301945,0.02396919,-0.027504954,-0.0002822273,0.020543063,-0.028423157,0.013951193,0.029821018,0.009908361,0.0027152062,-0.0018603874,0.014211578,-0.001233406,0.026504526,-0.011525494,0.002490795,-0.00953834,-0.0009019282,0.0035391902,0.01752807,0.017624002,-0.02891652,0.042237304,0.010490804,0.011662539,-0.012135345,0.03308269,0.020652698,0.0026826581,0.0039777346,0.015513507,0.035768773,0.020954197,0.02861502,0.008284377,-0.0069173523,-0.012258685,-0.0027477546,-0.009367034,-0.021091243,-0.0033558921,-0.014334919,0.031081831,-0.013416717,-0.013773034,-0.008859967,-0.0020710942,0.00068822346,-0.024503667,0.0045361933,0.010490804,0.014348623,0.0064137112,-0.028313521,-0.025805594,0.023955487,-0.0038441154,-0.0040257,-0.04407371,-0.025038142,0.015088667,-0.036344364,0.012601298,0.0015374749,0.016185028,0.031520378,-0.014129351,-0.010490804,0.0016625285,0.018665545,-0.0039743083,0.025504095,0.021886105,-0.01588353,0.005190584,-0.00783898,-0.03395978,0.039688267,-0.00026316944,0.011525494,-0.017171754,-0.0061773085,-0.002973879,0.0031434724,-0.002442829,-0.010004293,0.020364905,-0.011409006,-0.0057182075,-0.021913514,0.019885246,0.016746912,0.019542633,-0.0141156465,-0.048979923,-0.024202168,0.026531935,0.071921274,-0.007770458,0.0043100687,-0.016253551,0.0036111388,-0.00686596,-0.021694241,-0.026038572,0.012155902,-0.0069002216,-0.0112377,-0.0003089939,0.023749918,0.0004291225,0.027217159,0.0041901544,-0.014143056,-0.016883958,0.0060231327,-0.008421422,-0.004063388,-0.01397175,-0.0027905812,0.017898092,-0.0021858695,0.010381168,0.022900239,0.02761459,0.019158907,-0.001286511,0.00996318,0.034453142,-0.0086612515,0.02396919,0.004056535,0.014595305,0.037605178,-0.003350753,0.006187587,-0.012368321,0.016185028,0.01029894,-0.002281801,-0.010463394,0.0117447665,0.0068522557,-0.017980319,0.021214584,-0.0074004363,-0.0014860829,0.028313521,-0.02679232,-0.011484381,-0.008537911,0.0017413294,0.028834293,0.00023062123,0.0013678815,0.00856532,0.0019700236,-0.03505614,-0.010648405,0.010764894,-0.03755036,-0.018048842,-0.0009781595,-0.027244568,-0.01102528,-0.0154038705,-0.019145202,0.007448402,-0.04212767,-0.010477099,0.016925072,0.010538769,0.024188463,0.015719075,-0.0059888717,0.00075974385,-0.014197874,-0.008311786,-0.0049747378,-0.00222527,-0.018158477,-0.0179255,0.0014218431,-0.026600456,-0.012820571,-0.0011708792,0.005598293,-0.00018993596,-0.0089147845,0.005447543,-0.01157346,-0.005759321,-0.010867678,0.021516083,-0.004539619,-0.0021344777,-0.0025884395,0.035659138,-0.038920812,-0.008154185,-0.0012145623,-3.2227013e-05,0.0027734505,-0.010203009,-0.007105789,-0.02159831,-0.022365762,0.021516083,-0.028834293,0.0025935788,-0.008325491,0.0065952963,-0.013416717,0.0070372666,-0.007393584,0.004426557,0.006156752,0.00060257025,0.015047554,0.0034586762,0.01567796,-0.0075374814,0.021228287,0.008469388,-0.021831287,-0.0080171395,-0.025887823,-0.023516942,0.048322108,-0.0042381203,0.006358893,-0.01889852,-0.008558467,-0.018843703,0.007982878,-0.0027922941,-0.011861254,-0.015225712,0.002574735,0.013272819,-0.017048413,-0.00975076,-0.019200021,-0.015842415,0.009044978,-0.012169606,-0.003590582,-0.013361898,-1.1134915e-05,-0.00642399,0.0047314824,-0.035165776,-0.047335383,-0.038948223,0.024928506,0.013444126,0.031849284,0.03245228,0.015869824,0.026737502,0.01600687,-0.0040531093,0.00036830874,0.014444555,-0.0065713134,-0.022735784,0.010429134,0.011641983,0.015143485,-0.0036625308,0.0009070673,0.0013850122,0.014951622,-0.0077224923,-0.022434285,-0.0013241984,-0.017582888,-0.011765323,0.019295951,-0.021982037,-0.01051136,-0.017733637,0.006646688,0.03053365,-0.014143056,0.021200879,-0.011004723,0.010470247,-0.012162754,0.03450796,-0.014951622,0.0057730256,-0.011018427,0.0011957187,-0.0042689554,0.019117793,0.021214584,0.018857408,-0.005170027,-0.0029687397,0.0094218515,0.010100225,0.028286112,0.005012425,0.015253121,-0.003998291,-0.012073674,-0.0073798792,-0.030451424,-0.026860842,-0.034096826,-4.1729167e-05,-0.009764465,-0.020954197,0.02047454,-0.012416287,-0.00938759,-0.015253121,-0.007791015,0.04229212,0.019021861,0.028025726,0.0156094385,-0.01108695,-0.018240705,0.014526783,-0.009867248,-0.005118635,0.011641983,0.035878412,-0.021790173,-0.031794466,0.0057421904,0.010895086,0.015760189,-0.045005616,0.02527112,0.023407305,0.012957616,-0.024339212,0.009360181,-0.04072981,0.008990159,-0.010819712,-0.026463412,0.023229146,-0.020488245,-0.024010304,0.018720362,-0.019542633,0.0029567482,-0.030944787,-0.031081831,0.008195298,0.0032770913,-0.018583318,0.02229724,0.0058860877,0.010799155,0.031492967,0.0051049306,0.02302358,-0.001621415,0.0020710942,-0.0029139218,-0.003535764,0.028258702,0.0005083517,-0.012539628,0.0027100672,0.011456972,0.031547785,-0.010518213,-0.016116505,0.007907503,-0.014663828,0.009271102,0.034370914,-0.025216302,-0.0046492554,-0.0179255,0.00036895115,0.004930198,-0.018473681,0.011436415,0.007338766,-0.0049952944,-0.002545613,0.02232465,0.0075922995,0.01862443,0.005923775,-0.009058682,0.005543475,0.04229212,-0.011429562,0.003826985,0.029629154,0.018309228,-0.034453142,-0.010422281,-0.025654845,-0.008935342,0.021091243,-0.022091672,-0.02621673,-0.012197015,-0.0055640317,0.024078827,0.012375174,-0.0078115715,-0.00953834,0.020721221,-0.010264679,-0.020529358,-0.0031263416,0.019611156,-0.01835034,-0.0039263424,-0.005632554,-0.02624414,0.02229724,-0.028053135,0.0022629574,0.022338353,-0.035878412,-0.0322056,0.017843274,0.025051847,-0.03198633,-0.008716069,0.001297646,0.0053892992,-0.016541345,0.005543475,-0.0009704507,-0.0074621066,0.026956774,0.019940063,0.007366175,0.0076471176,-0.0068214205,-0.037385907,-0.005817565,0.017349912,-0.017610297,0.007873242,-0.0020265547,0.029053565,0.009826135,-0.021009017,-0.04355294,-0.003131481,-0.04486857,-0.030999605,-0.0069550397,0.0046492554,0.03505614,0.018432569,0.013320785,0.002917348,0.0037139226,0.010113929,-0.010901939,-0.008380309,0.023119511,-0.030177334,-0.00375161,-0.0078047193,-0.012327208,-0.009853544,0.006650114,0.006937909,0.017075822,0.034535367,-0.014047124,-0.022105377,0.0010218426,0.019515224,-0.007976025,-0.01400601,-0.009223136,-0.0400994,-0.010072816,0.019707087,0.0037104965,-0.014622713,-0.009661681,9.502152e-05,0.0076471176,-0.0053413333,-0.0024479683,0.018569613,-0.0005841548,-0.026326366,0.015212008,-0.012752048,0.0033833012,0.024777757,0.027217159,0.008955899,-0.0065781656,0.020981608,-0.0048890845,-0.022776898,-0.014622713,-0.009134057,0.027258273,-0.014444555,0.019474111,-0.034562778,-0.0007126346,0.009497226,-0.026463412,-0.027833862,0.028943928,0.01324541,-0.02801202,-0.016760617,0.021310516,-0.027696818,-0.010991018,0.01445826,0.014430851,-0.025654845,0.017322503,-0.010881382,-0.018405158,0.004018848,0.021118652,0.00033019308,-0.015458689,0.02649082,0.19274025,0.005498935,0.032342646,0.00944926,-0.024174757,0.0035700253,0.0046698125,0.011655687,0.015746484,0.01002485,-0.026285253,0.02327026,-0.015253121,0.0057010767,-0.0010552474,-0.0040873704,-0.042401757,-0.021351628,-0.03505614,-0.016596163,-0.0037927236,0.024065122,-0.011772175,-0.02329767,0.0003946471,0.020666404,-0.010435985,-0.017473252,0.034124233,0.029026154,-0.0045910114,-0.02229724,-0.0127589,0.008887376,-0.0020197025,0.0076813786,-0.00079186383,-0.005307072,0.039359357,0.008071957,-0.026353776,0.005248828,0.014376032,0.006053968,0.004522489,0.0027665982,-0.0009635985,-0.005875809,0.008181593,0.0028179903,-0.01643171,-0.030095108,0.028368339,0.012244981,-0.014951622,-0.0044231312,0.025997458,0.00088565407,0.0037892973,0.0075991517,0.007530629,0.043635163,-0.0021841566,0.0026346922,-0.012553332,-0.0010655258,-0.02712123,-0.0042689554,0.021612015,0.0026483969,0.009880953,-0.0051015043,-0.018665545,-0.00022740924,-0.03061588,-0.02174906,0.017391024,0.0136085795,0.026189322,0.016815435,0.009134057,-0.00036338367,-0.0039229165,-0.019611156,-0.01108695,-0.025462983,0.015623143,-0.0027237716,-0.03395978,0.013368751,0.0019306231,-0.009250545,-0.008805148,-0.010250974,-0.017898092,0.008866819,-0.0006496795,0.03176706,-0.008880523,-0.0077567534,-0.010086521,0.020543063,0.03316492,0.0068522557,-0.0011837272,-0.01737732,-0.0012325495,0.0069173523,0.003854394,-0.010415428,-0.008832558,-0.039359357,0.0006119921,-0.0087777395,-0.010648405,0.0328086,0.008935342,-0.02506555,-0.0001655248,0.014101942,-0.011765323,-0.0138621135,0.0026346922,0.004234694,-0.031081831,0.009593158,-0.0027426153,0.0060745245,-0.010716928,-0.036316954,0.01855591,-0.0005190584,0.016746912,0.009024421,-0.0064719557,0.00771564,-0.01218331,-0.023640282,0.012018857,0.008818853,-0.007393584,-0.0011640269,0.014677532,0.008517354,-0.017774751,-0.01473235,0.03053365,0.010545622,-0.01658246,-0.041606896,-0.02444885,-0.0076334127,0.00030299817,-0.023133215,0.02150238,-0.0063691717,-0.007420993,-0.029875835,0.022886533,0.0072976523,-0.025380755,0.04015422,0.012025709,0.005197436,-0.007969174,0.016445413,-0.17530811,-0.0013010721,0.029683972,-0.025846709,0.0039743083,-0.008599581,0.009277955,0.00445054,-0.008359752,0.0022321222,0.0050740954,0.025504095,-0.04116835,0.017774751,0.014348623,0.011258257,0.020406017,0.016445413,0.032370057,0.01263556,0.029519517,-0.02427069,0.014567896,0.026737502,-0.003215421,-0.005814139,-0.015965756,0.033987187,-0.011779028,-0.0032650998,-0.007427845,-0.00031242004,0.03308269,-0.002281801,-0.013039842,-0.01284798,-0.015362757,0.0051631746,0.00334904,0.015869824,0.034233868,0.01567796,0.005060391,-0.0071606073,0.008887376,0.031027013,0.01740473,0.0071948683,0.007153755,-0.008654399,0.00275632,-0.028505383,0.00798973,0.00033533227,0.0075785946,0.006985875,0.008277525,0.01615762,0.009154614,-0.0010912217,-0.012094231,-0.02272208,0.017856978,-0.015020144,-0.023612874,-0.020734927,-0.013553762,-0.0042209895,-0.00030021445,0.017829569,-0.015993165,0.008119923,-0.017911797,-0.02174906,0.009579454,-0.0065507563,-0.028450565,0.01628096,0.014951622,0.010435985,-0.012203868,0.05440691,0.0012702369,-0.004306643,0.016541345,0.001070665,-0.0011503224,-0.010052259,-0.025874117,-0.023873258,0.004337478,-0.03363087,0.0049062152,-0.024051419,0.01615762,0.009771316,-0.00045910114,0.0073593226,0.045252297,-0.00222527,0.003081802,0.004933624,-0.027504954,0.015157189,0.04322403,0.0068042898,-0.01500644,0.005224845,0.033247143,0.019446703,-0.027559772,0.0050775213,0.020844562,0.00030920803,-0.017870683,0.016815435,0.018062547,-0.008537911,0.00021638139,-0.0028591037,0.011436415,-0.004878806,-0.012841127,-0.017980319,0.0056668157,-0.0038132803,-0.10349647,-0.0056770938,0.013279672,0.00073918706,-0.009092944,0.007976025,-0.0034089973,0.010203009,-0.007921208,0.008736626,-0.032095965,-0.040017173,-0.004988442,-0.007023562,0.04993924,0.009942623,-0.015965756,-0.007914355,0.0331101,0.023201738,-0.026408594,-0.017911797,0.009127204,-0.0030715237,0.012032561,-0.0032222732,-0.017610297,0.005704503,0.018487386,0.02791609,0.009367034,-0.026394889,0.030670697,-0.015417576,-0.0065781656,-0.016842844,-0.029903244,-0.019857837,0.024298098,-0.03985272,0.005170027,0.0038646723,0.019008158,-0.026024867,-0.002201287,-0.012436844,-0.010847121,0.031575195,0.013944341,-0.01855591,-0.012731492,-0.022283535,0.009874101,-0.00012730206,0.03053365,-0.014280101,-0.0041661714,0.0015837277,-0.018048842,0.01952893,0.0060436893,0.0024616728,-0.022776898,0.024681825,0.016568754,0.011868107,-0.042209893,0.001110922,0.0148282815,0.019665973,-0.035522092,0.016376892,-0.023092102,-0.0051015043,-0.0032222732,-0.004210711,-0.021817582,-0.008161036,0.008942193,-0.017089525,-0.007934912,-0.029601745,0.0010226992,-0.01867925,0.02891652,0.014430851,0.0029379046,0.008729774,0.021707946,-0.024503667,0.032589328,0.024585893,0.0054030037,-0.015636848,0.009860396,0.021406448,-0.011662539,0.02129681,-0.018843703,0.010415428,-0.041113533,0.0082706725,-0.06945446,0.0218724,0.027203456,0.0028591037,0.0018877964,-0.007941765,0.00041006468,0.00476917,-0.029793607,-0.010956757,-0.024489962,0.027080115,-0.02484628,0.01403342,-0.0022321222,-0.0037036443,0.012937059,0.005385873,0.027696818,0.007242834,-0.021886105,0.018487386,0.036070272,0.0041182055,-0.035165776,-0.00905183,0.00021809446,0.017158048,0.005248828,-0.009442409,0.01290965,-0.023215443,-0.017007299,0.004525915,0.026326366,-0.015061258,0.0046458296,-0.012539628,0.041771352,0.022913944,-0.015458689,-0.007009858,0.0018843703,-0.024106236,-0.012752048,0.005457822,0.012155902,0.012820571,0.009552045,-0.015650552,0.019679679,0.020159336,-0.012676673,-0.018227,-0.010264679,-0.029793607,0.010908791,0.025531504,0.021680538,-0.029848427,0.020337494,0.008812001,0.010086521,0.012292947,-0.008613286,0.0019426144,-0.0031160633,0.00084068615,0.011203438,-0.027957203,-0.030232152,-0.008366604,-0.010086521,0.020364905,0.010888235,-0.013197444,-0.021858696,0.012553332,-0.0043100687,0.0019066401,-0.0060882294,-0.015993165,-0.02691566,0.04182617,0.008407718,0.008380309,0.015842415,0.028258702,0.008784592,0.011347336,-0.015910938,0.0033867273,0.0064513986,0.001553749,-0.013964897,0.004765744,0.010079668,-0.010648405,0.031383332,0.037988905,-0.002358889,-0.0013224854,0.0075854473,-0.04651311,-0.027409023,0.011991448,0.006694654,-0.017555479,0.01582871,0.010607292,-0.019940063,-0.005176879,-0.023996599,0.012662969,-0.021461265,0.010004293,0.013039842,-0.0141841695,-0.01682914,0.013704511,0.020954197,0.015856119,-0.020433426,-0.019474111,0.020090815,0.006300649,0.03135592,-0.011319926,0.012560185,-0.021557197,0.0051083565,-0.0051083565,-0.015239417,-0.015719075,-0.032424875,0.00047409046,0.013718216,-0.0052351234,-0.021982037,0.09001123,0.009154614,-0.010977314,0.016609868,-0.01597946,0.026340071,0.0040599615,0.012053118,0.003268526,-0.020776039,0.028258702,-0.013382455,-0.01284798,-0.046239022,0.0020334069,-0.00040385482,-0.025038142,0.0089833075,-0.02062529,0.0147597585,0.013773034,-0.0012000013,0.019432997,0.012676673,-0.014293806,-0.00315889,0.02150238,-0.034370914,-0.022338353,-0.010792303,-0.007688231,0.010429134,-0.0048822323,-0.025805594,0.012107936,-0.008859967,-0.0030749498,0.026107095,0.027093818,0.035001323,0.0054269866,0.017075822,-0.0076471176,-0.022516513,-0.009641124,0.004402574,-0.0018997879,-0.030725515,-0.017267684]','create a sankey plot of refugee migration by country for Kenya using HAPI data as an image','{"mem_type": "memory", "custom_id": "2a750620-1422-46ef-a0d8-c001d277689e"}','2a750620-1422-46ef-a0d8-c001d277689e','a537dbae-89be-4d0d-8a01-e684cccd7d54'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.0064411205,-0.02007711,0.0062492574,-0.0119982995,0.0045841592,0.028532794,-0.023037285,0.001954606,-0.012286095,-0.033493824,0.0011725923,0.008428275,0.010614144,-0.010141338,-0.0035768775,0.0054201344,0.010607292,-0.038043723,0.009641124,-0.014663828,-0.030506242,0.03113665,0.026778616,-0.021831287,-0.002362315,-0.0006094225,0.015020144,-0.027326796,-0.008346047,-0.014937918,-0.00031734508,-0.016952481,0.013745625,-0.024832575,-0.023215443,-0.008784592,-0.0034706676,-0.007044119,0.021036426,0.0013190592,-0.001659959,-0.024435144,-0.003025271,-0.022708375,-0.00026124224,0.026161913,0.017788457,-0.021968331,-0.029821018,0.049857013,0.016418004,0.011230847,-0.024325509,-0.007044119,0.008880523,0.027998317,-0.017185457,-0.023859555,-0.0064993645,-0.02117347,0.015184599,0.016089097,-0.019748202,0.016349481,-0.028998746,-0.025092961,0.0045601763,0.009182023,0.036371775,0.0002856534,0.02943729,0.037988905,-0.010312645,-0.009003864,0.010497656,0.011621426,-0.016239846,0.010189304,-0.0019768758,0.0021087816,0.018871112,-0.0488977,0.008935342,0.013348194,0.017843274,-0.0030115664,-0.010072816,0.051364508,-0.0042483984,-0.003806428,-0.015102372,0.014499373,0.0074552544,-0.012464253,-0.0018843703,-0.004772596,-0.015842415,0.022680966,0.03168483,-0.047445018,-0.019474111,-0.011436415,-0.004686943,-0.01339616,-0.014595305,-0.020556767,-0.015116076,0.0031725944,0.035522092,-0.022626149,-0.008832558,0.032671556,-0.0019460407,-0.023229146,-0.015212008,-0.032424875,0.021228287,0.008674956,0.005447543,-0.03228783,0.019542633,0.02287283,0.00020000021,-0.012101084,0.02718975,0.038865995,-0.0103880195,-0.039331947,-0.015239417,-0.014362328,-0.004868528,-0.015924642,0.019254839,-0.004094223,-0.007475811,0.03395978,-0.022735784,0.011518642,-0.020145632,-0.03061588,0.016294664,0.012779457,0.020501949,-0.00044967927,-0.0203512,0.015650552,-0.00016263401,0.01752807,-0.0042141373,-0.014992735,-0.00038179912,-0.014197874,-0.0022646706,-0.0045122104,-0.020186745,0.014567896,-0.0063349106,-0.00273405,-0.01917261,-0.008448832,-0.021310516,0.0016531067,-0.014280101,0.0094218515,0.024489962,0.03168483,-0.005286515,-0.010668962,-0.0012916502,-0.012608151,-0.0054749525,0.029080974,-0.013896375,-0.0018432568,0.0142526915,-0.0024976472,-0.010806007,0.027696818,-0.029875835,-0.006722063,-0.022585034,0.024983324,0.005930627,0.015787598,-0.0012231276,-0.027039,0.018884817,-0.013156331,-0.008716069,0.007893799,0.013951193,0.020776039,-0.0012762327,0.005231697,-0.6297497,-0.028053135,0.012580741,-0.02457219,0.013807295,0.011223995,0.003456963,-0.009682237,-0.020241564,0.010922495,0.0024599598,0.027970908,0.000107976564,-0.020844562,-0.009202579,-0.027833862,-0.012950763,-0.02144756,0.028231293,0.01051136,-0.0050329817,0.008071957,0.0022389747,0.0065164953,-0.0060334112,-0.00092077185,0.029766198,-0.0033456138,-0.0085242065,0.03198633,-0.012895945,0.0011092089,-0.0012291233,-0.017966615,0.0434433,0.00019903661,-0.00684883,0.023078397,0.0130329905,0.03897563,-0.013478387,-0.008887376,0.023653986,0.010655258,0.0004023559,0.013375604,0.011703652,-0.013773034,-0.0054441174,-0.032644145,-0.009017568,0.0061293426,-0.036837727,0.0069105,0.00669808,-0.007510072,-0.00045439022,-0.018295523,0.022269832,-0.001218845,0.0041113533,0.008215855,-0.007749901,0.002117347,0.005327629,0.0018672397,-0.0021276255,0.008099366,0.007907503,-0.019090384,0.009483522,0.014869395,-0.00701671,-0.012279242,0.02087197,0.024229577,0.006944761,-0.015650552,-0.008969603,0.0040359786,0.004443688,0.0064513986,-0.012861684,0.0031691683,0.0063863024,-0.0020830857,-0.050185923,0.003105785,0.010155043,0.016253551,0.001070665,0.009435556,-0.008928489,-0.017596593,-0.009976884,0.018610727,-0.012498515,0.013615432,0.027683113,-0.037687406,-0.022434285,-0.0092368405,-0.0027015018,-0.014869395,0.03790668,-0.0005241976,-0.038646724,0.011436415,0.04267585,-0.03428869,-0.019885246,-0.018514795,-0.02579189,-0.026710093,0.021159766,-0.031520378,0.036070272,0.00084282743,0.02494221,0.0046732384,0.039468993,0.0097439075,0.03056106,-0.025928935,0.0063554673,0.029053565,0.012978172,-0.013773034,-0.025928935,0.011724209,0.010216713,0.021940922,0.029848427,-0.012800014,0.025449278,-0.0037892973,0.004563602,0.0014800873,-0.0161028,-0.033301964,-0.014389737,-0.008770888,-0.010264679,-0.030369198,0.0070372666,-0.00621157,-0.011970891,0.0053413333,0.007743049,-0.009058682,0.0052351234,-0.011881812,-0.015773892,-0.0035768775,0.013951193,-0.0036933657,0.020830857,-0.0073798792,-0.014910509,-0.015527211,0.01227239,0.021762764,-0.019337066,-0.013738773,-0.018473681,0.00034304106,0.009832987,0.028286112,0.016513936,-0.023832146,-0.016650982,-0.021091243,-0.035439868,0.025956344,-0.0034621023,0.017212866,-0.017706228,0.0021533214,-0.007688231,-0.011066393,0.00095332006,-0.0074621066,-0.0029550353,-0.02739532,0.031218877,-0.010620996,0.019556338,0.014019716,0.005601719,0.030670697,-0.025421869,0.020885676,0.010470247,0.018747771,-0.0027220587,0.010991018,-0.006197865,0.035549503,0.012176459,0.016719503,0.011648835,0.019158907,0.010052259,0.0006616709,0.03905786,-0.029848427,-0.00771564,-0.027573477,0.010072816,0.019364474,0.024805166,-0.04210026,-0.013067252,-0.005707929,0.006300649,-0.0051837317,0.0014877961,0.004714352,-0.043580346,-0.016952481,-0.011196586,-0.015444985,0.019542633,0.004094223,-0.0043100687,-0.009092944,-0.011134916,-0.0017301945,0.02396919,-0.027504954,-0.0002822273,0.020543063,-0.028423157,0.013951193,0.029821018,0.009908361,0.0027152062,-0.0018603874,0.014211578,-0.001233406,0.026504526,-0.011525494,0.002490795,-0.00953834,-0.0009019282,0.0035391902,0.01752807,0.017624002,-0.02891652,0.042237304,0.010490804,0.011662539,-0.012135345,0.03308269,0.020652698,0.0026826581,0.0039777346,0.015513507,0.035768773,0.020954197,0.02861502,0.008284377,-0.0069173523,-0.012258685,-0.0027477546,-0.009367034,-0.021091243,-0.0033558921,-0.014334919,0.031081831,-0.013416717,-0.013773034,-0.008859967,-0.0020710942,0.00068822346,-0.024503667,0.0045361933,0.010490804,0.014348623,0.0064137112,-0.028313521,-0.025805594,0.023955487,-0.0038441154,-0.0040257,-0.04407371,-0.025038142,0.015088667,-0.036344364,0.012601298,0.0015374749,0.016185028,0.031520378,-0.014129351,-0.010490804,0.0016625285,0.018665545,-0.0039743083,0.025504095,0.021886105,-0.01588353,0.005190584,-0.00783898,-0.03395978,0.039688267,-0.00026316944,0.011525494,-0.017171754,-0.0061773085,-0.002973879,0.0031434724,-0.002442829,-0.010004293,0.020364905,-0.011409006,-0.0057182075,-0.021913514,0.019885246,0.016746912,0.019542633,-0.0141156465,-0.048979923,-0.024202168,0.026531935,0.071921274,-0.007770458,0.0043100687,-0.016253551,0.0036111388,-0.00686596,-0.021694241,-0.026038572,0.012155902,-0.0069002216,-0.0112377,-0.0003089939,0.023749918,0.0004291225,0.027217159,0.0041901544,-0.014143056,-0.016883958,0.0060231327,-0.008421422,-0.004063388,-0.01397175,-0.0027905812,0.017898092,-0.0021858695,0.010381168,0.022900239,0.02761459,0.019158907,-0.001286511,0.00996318,0.034453142,-0.0086612515,0.02396919,0.004056535,0.014595305,0.037605178,-0.003350753,0.006187587,-0.012368321,0.016185028,0.01029894,-0.002281801,-0.010463394,0.0117447665,0.0068522557,-0.017980319,0.021214584,-0.0074004363,-0.0014860829,0.028313521,-0.02679232,-0.011484381,-0.008537911,0.0017413294,0.028834293,0.00023062123,0.0013678815,0.00856532,0.0019700236,-0.03505614,-0.010648405,0.010764894,-0.03755036,-0.018048842,-0.0009781595,-0.027244568,-0.01102528,-0.0154038705,-0.019145202,0.007448402,-0.04212767,-0.010477099,0.016925072,0.010538769,0.024188463,0.015719075,-0.0059888717,0.00075974385,-0.014197874,-0.008311786,-0.0049747378,-0.00222527,-0.018158477,-0.0179255,0.0014218431,-0.026600456,-0.012820571,-0.0011708792,0.005598293,-0.00018993596,-0.0089147845,0.005447543,-0.01157346,-0.005759321,-0.010867678,0.021516083,-0.004539619,-0.0021344777,-0.0025884395,0.035659138,-0.038920812,-0.008154185,-0.0012145623,-3.2227013e-05,0.0027734505,-0.010203009,-0.007105789,-0.02159831,-0.022365762,0.021516083,-0.028834293,0.0025935788,-0.008325491,0.0065952963,-0.013416717,0.0070372666,-0.007393584,0.004426557,0.006156752,0.00060257025,0.015047554,0.0034586762,0.01567796,-0.0075374814,0.021228287,0.008469388,-0.021831287,-0.0080171395,-0.025887823,-0.023516942,0.048322108,-0.0042381203,0.006358893,-0.01889852,-0.008558467,-0.018843703,0.007982878,-0.0027922941,-0.011861254,-0.015225712,0.002574735,0.013272819,-0.017048413,-0.00975076,-0.019200021,-0.015842415,0.009044978,-0.012169606,-0.003590582,-0.013361898,-1.1134915e-05,-0.00642399,0.0047314824,-0.035165776,-0.047335383,-0.038948223,0.024928506,0.013444126,0.031849284,0.03245228,0.015869824,0.026737502,0.01600687,-0.0040531093,0.00036830874,0.014444555,-0.0065713134,-0.022735784,0.010429134,0.011641983,0.015143485,-0.0036625308,0.0009070673,0.0013850122,0.014951622,-0.0077224923,-0.022434285,-0.0013241984,-0.017582888,-0.011765323,0.019295951,-0.021982037,-0.01051136,-0.017733637,0.006646688,0.03053365,-0.014143056,0.021200879,-0.011004723,0.010470247,-0.012162754,0.03450796,-0.014951622,0.0057730256,-0.011018427,0.0011957187,-0.0042689554,0.019117793,0.021214584,0.018857408,-0.005170027,-0.0029687397,0.0094218515,0.010100225,0.028286112,0.005012425,0.015253121,-0.003998291,-0.012073674,-0.0073798792,-0.030451424,-0.026860842,-0.034096826,-4.1729167e-05,-0.009764465,-0.020954197,0.02047454,-0.012416287,-0.00938759,-0.015253121,-0.007791015,0.04229212,0.019021861,0.028025726,0.0156094385,-0.01108695,-0.018240705,0.014526783,-0.009867248,-0.005118635,0.011641983,0.035878412,-0.021790173,-0.031794466,0.0057421904,0.010895086,0.015760189,-0.045005616,0.02527112,0.023407305,0.012957616,-0.024339212,0.009360181,-0.04072981,0.008990159,-0.010819712,-0.026463412,0.023229146,-0.020488245,-0.024010304,0.018720362,-0.019542633,0.0029567482,-0.030944787,-0.031081831,0.008195298,0.0032770913,-0.018583318,0.02229724,0.0058860877,0.010799155,0.031492967,0.0051049306,0.02302358,-0.001621415,0.0020710942,-0.0029139218,-0.003535764,0.028258702,0.0005083517,-0.012539628,0.0027100672,0.011456972,0.031547785,-0.010518213,-0.016116505,0.007907503,-0.014663828,0.009271102,0.034370914,-0.025216302,-0.0046492554,-0.0179255,0.00036895115,0.004930198,-0.018473681,0.011436415,0.007338766,-0.0049952944,-0.002545613,0.02232465,0.0075922995,0.01862443,0.005923775,-0.009058682,0.005543475,0.04229212,-0.011429562,0.003826985,0.029629154,0.018309228,-0.034453142,-0.010422281,-0.025654845,-0.008935342,0.021091243,-0.022091672,-0.02621673,-0.012197015,-0.0055640317,0.024078827,0.012375174,-0.0078115715,-0.00953834,0.020721221,-0.010264679,-0.020529358,-0.0031263416,0.019611156,-0.01835034,-0.0039263424,-0.005632554,-0.02624414,0.02229724,-0.028053135,0.0022629574,0.022338353,-0.035878412,-0.0322056,0.017843274,0.025051847,-0.03198633,-0.008716069,0.001297646,0.0053892992,-0.016541345,0.005543475,-0.0009704507,-0.0074621066,0.026956774,0.019940063,0.007366175,0.0076471176,-0.0068214205,-0.037385907,-0.005817565,0.017349912,-0.017610297,0.007873242,-0.0020265547,0.029053565,0.009826135,-0.021009017,-0.04355294,-0.003131481,-0.04486857,-0.030999605,-0.0069550397,0.0046492554,0.03505614,0.018432569,0.013320785,0.002917348,0.0037139226,0.010113929,-0.010901939,-0.008380309,0.023119511,-0.030177334,-0.00375161,-0.0078047193,-0.012327208,-0.009853544,0.006650114,0.006937909,0.017075822,0.034535367,-0.014047124,-0.022105377,0.0010218426,0.019515224,-0.007976025,-0.01400601,-0.009223136,-0.0400994,-0.010072816,0.019707087,0.0037104965,-0.014622713,-0.009661681,9.502152e-05,0.0076471176,-0.0053413333,-0.0024479683,0.018569613,-0.0005841548,-0.026326366,0.015212008,-0.012752048,0.0033833012,0.024777757,0.027217159,0.008955899,-0.0065781656,0.020981608,-0.0048890845,-0.022776898,-0.014622713,-0.009134057,0.027258273,-0.014444555,0.019474111,-0.034562778,-0.0007126346,0.009497226,-0.026463412,-0.027833862,0.028943928,0.01324541,-0.02801202,-0.016760617,0.021310516,-0.027696818,-0.010991018,0.01445826,0.014430851,-0.025654845,0.017322503,-0.010881382,-0.018405158,0.004018848,0.021118652,0.00033019308,-0.015458689,0.02649082,0.19274025,0.005498935,0.032342646,0.00944926,-0.024174757,0.0035700253,0.0046698125,0.011655687,0.015746484,0.01002485,-0.026285253,0.02327026,-0.015253121,0.0057010767,-0.0010552474,-0.0040873704,-0.042401757,-0.021351628,-0.03505614,-0.016596163,-0.0037927236,0.024065122,-0.011772175,-0.02329767,0.0003946471,0.020666404,-0.010435985,-0.017473252,0.034124233,0.029026154,-0.0045910114,-0.02229724,-0.0127589,0.008887376,-0.0020197025,0.0076813786,-0.00079186383,-0.005307072,0.039359357,0.008071957,-0.026353776,0.005248828,0.014376032,0.006053968,0.004522489,0.0027665982,-0.0009635985,-0.005875809,0.008181593,0.0028179903,-0.01643171,-0.030095108,0.028368339,0.012244981,-0.014951622,-0.0044231312,0.025997458,0.00088565407,0.0037892973,0.0075991517,0.007530629,0.043635163,-0.0021841566,0.0026346922,-0.012553332,-0.0010655258,-0.02712123,-0.0042689554,0.021612015,0.0026483969,0.009880953,-0.0051015043,-0.018665545,-0.00022740924,-0.03061588,-0.02174906,0.017391024,0.0136085795,0.026189322,0.016815435,0.009134057,-0.00036338367,-0.0039229165,-0.019611156,-0.01108695,-0.025462983,0.015623143,-0.0027237716,-0.03395978,0.013368751,0.0019306231,-0.009250545,-0.008805148,-0.010250974,-0.017898092,0.008866819,-0.0006496795,0.03176706,-0.008880523,-0.0077567534,-0.010086521,0.020543063,0.03316492,0.0068522557,-0.0011837272,-0.01737732,-0.0012325495,0.0069173523,0.003854394,-0.010415428,-0.008832558,-0.039359357,0.0006119921,-0.0087777395,-0.010648405,0.0328086,0.008935342,-0.02506555,-0.0001655248,0.014101942,-0.011765323,-0.0138621135,0.0026346922,0.004234694,-0.031081831,0.009593158,-0.0027426153,0.0060745245,-0.010716928,-0.036316954,0.01855591,-0.0005190584,0.016746912,0.009024421,-0.0064719557,0.00771564,-0.01218331,-0.023640282,0.012018857,0.008818853,-0.007393584,-0.0011640269,0.014677532,0.008517354,-0.017774751,-0.01473235,0.03053365,0.010545622,-0.01658246,-0.041606896,-0.02444885,-0.0076334127,0.00030299817,-0.023133215,0.02150238,-0.0063691717,-0.007420993,-0.029875835,0.022886533,0.0072976523,-0.025380755,0.04015422,0.012025709,0.005197436,-0.007969174,0.016445413,-0.17530811,-0.0013010721,0.029683972,-0.025846709,0.0039743083,-0.008599581,0.009277955,0.00445054,-0.008359752,0.0022321222,0.0050740954,0.025504095,-0.04116835,0.017774751,0.014348623,0.011258257,0.020406017,0.016445413,0.032370057,0.01263556,0.029519517,-0.02427069,0.014567896,0.026737502,-0.003215421,-0.005814139,-0.015965756,0.033987187,-0.011779028,-0.0032650998,-0.007427845,-0.00031242004,0.03308269,-0.002281801,-0.013039842,-0.01284798,-0.015362757,0.0051631746,0.00334904,0.015869824,0.034233868,0.01567796,0.005060391,-0.0071606073,0.008887376,0.031027013,0.01740473,0.0071948683,0.007153755,-0.008654399,0.00275632,-0.028505383,0.00798973,0.00033533227,0.0075785946,0.006985875,0.008277525,0.01615762,0.009154614,-0.0010912217,-0.012094231,-0.02272208,0.017856978,-0.015020144,-0.023612874,-0.020734927,-0.013553762,-0.0042209895,-0.00030021445,0.017829569,-0.015993165,0.008119923,-0.017911797,-0.02174906,0.009579454,-0.0065507563,-0.028450565,0.01628096,0.014951622,0.010435985,-0.012203868,0.05440691,0.0012702369,-0.004306643,0.016541345,0.001070665,-0.0011503224,-0.010052259,-0.025874117,-0.023873258,0.004337478,-0.03363087,0.0049062152,-0.024051419,0.01615762,0.009771316,-0.00045910114,0.0073593226,0.045252297,-0.00222527,0.003081802,0.004933624,-0.027504954,0.015157189,0.04322403,0.0068042898,-0.01500644,0.005224845,0.033247143,0.019446703,-0.027559772,0.0050775213,0.020844562,0.00030920803,-0.017870683,0.016815435,0.018062547,-0.008537911,0.00021638139,-0.0028591037,0.011436415,-0.004878806,-0.012841127,-0.017980319,0.0056668157,-0.0038132803,-0.10349647,-0.0056770938,0.013279672,0.00073918706,-0.009092944,0.007976025,-0.0034089973,0.010203009,-0.007921208,0.008736626,-0.032095965,-0.040017173,-0.004988442,-0.007023562,0.04993924,0.009942623,-0.015965756,-0.007914355,0.0331101,0.023201738,-0.026408594,-0.017911797,0.009127204,-0.0030715237,0.012032561,-0.0032222732,-0.017610297,0.005704503,0.018487386,0.02791609,0.009367034,-0.026394889,0.030670697,-0.015417576,-0.0065781656,-0.016842844,-0.029903244,-0.019857837,0.024298098,-0.03985272,0.005170027,0.0038646723,0.019008158,-0.026024867,-0.002201287,-0.012436844,-0.010847121,0.031575195,0.013944341,-0.01855591,-0.012731492,-0.022283535,0.009874101,-0.00012730206,0.03053365,-0.014280101,-0.0041661714,0.0015837277,-0.018048842,0.01952893,0.0060436893,0.0024616728,-0.022776898,0.024681825,0.016568754,0.011868107,-0.042209893,0.001110922,0.0148282815,0.019665973,-0.035522092,0.016376892,-0.023092102,-0.0051015043,-0.0032222732,-0.004210711,-0.021817582,-0.008161036,0.008942193,-0.017089525,-0.007934912,-0.029601745,0.0010226992,-0.01867925,0.02891652,0.014430851,0.0029379046,0.008729774,0.021707946,-0.024503667,0.032589328,0.024585893,0.0054030037,-0.015636848,0.009860396,0.021406448,-0.011662539,0.02129681,-0.018843703,0.010415428,-0.041113533,0.0082706725,-0.06945446,0.0218724,0.027203456,0.0028591037,0.0018877964,-0.007941765,0.00041006468,0.00476917,-0.029793607,-0.010956757,-0.024489962,0.027080115,-0.02484628,0.01403342,-0.0022321222,-0.0037036443,0.012937059,0.005385873,0.027696818,0.007242834,-0.021886105,0.018487386,0.036070272,0.0041182055,-0.035165776,-0.00905183,0.00021809446,0.017158048,0.005248828,-0.009442409,0.01290965,-0.023215443,-0.017007299,0.004525915,0.026326366,-0.015061258,0.0046458296,-0.012539628,0.041771352,0.022913944,-0.015458689,-0.007009858,0.0018843703,-0.024106236,-0.012752048,0.005457822,0.012155902,0.012820571,0.009552045,-0.015650552,0.019679679,0.020159336,-0.012676673,-0.018227,-0.010264679,-0.029793607,0.010908791,0.025531504,0.021680538,-0.029848427,0.020337494,0.008812001,0.010086521,0.012292947,-0.008613286,0.0019426144,-0.0031160633,0.00084068615,0.011203438,-0.027957203,-0.030232152,-0.008366604,-0.010086521,0.020364905,0.010888235,-0.013197444,-0.021858696,0.012553332,-0.0043100687,0.0019066401,-0.0060882294,-0.015993165,-0.02691566,0.04182617,0.008407718,0.008380309,0.015842415,0.028258702,0.008784592,0.011347336,-0.015910938,0.0033867273,0.0064513986,0.001553749,-0.013964897,0.004765744,0.010079668,-0.010648405,0.031383332,0.037988905,-0.002358889,-0.0013224854,0.0075854473,-0.04651311,-0.027409023,0.011991448,0.006694654,-0.017555479,0.01582871,0.010607292,-0.019940063,-0.005176879,-0.023996599,0.012662969,-0.021461265,0.010004293,0.013039842,-0.0141841695,-0.01682914,0.013704511,0.020954197,0.015856119,-0.020433426,-0.019474111,0.020090815,0.006300649,0.03135592,-0.011319926,0.012560185,-0.021557197,0.0051083565,-0.0051083565,-0.015239417,-0.015719075,-0.032424875,0.00047409046,0.013718216,-0.0052351234,-0.021982037,0.09001123,0.009154614,-0.010977314,0.016609868,-0.01597946,0.026340071,0.0040599615,0.012053118,0.003268526,-0.020776039,0.028258702,-0.013382455,-0.01284798,-0.046239022,0.0020334069,-0.00040385482,-0.025038142,0.0089833075,-0.02062529,0.0147597585,0.013773034,-0.0012000013,0.019432997,0.012676673,-0.014293806,-0.00315889,0.02150238,-0.034370914,-0.022338353,-0.010792303,-0.007688231,0.010429134,-0.0048822323,-0.025805594,0.012107936,-0.008859967,-0.0030749498,0.026107095,0.027093818,0.035001323,0.0054269866,0.017075822,-0.0076471176,-0.022516513,-0.009641124,0.004402574,-0.0018997879,-0.030725515,-0.017267684]','create a sankey plot of refugee migration by country for Kenya using HAPI data as an image','{"mem_type": "recipe", "custom_id": "df2123ed-60e0-40ef-b515-0131767ffecf"}','df2123ed-60e0-40ef-b515-0131767ffecf','a763835c-ac29-4fc1-a383-59708aa2c455'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.017648531,-0.013340003,-0.015947985,-0.0037011898,0.0012548676,0.0056911153,-0.0059411954,-0.0380408,-0.033925194,-0.035811514,0.014890501,-0.002365046,-0.024250653,0.0066771465,-0.017834306,0.02130685,0.020663785,0.0018577401,0.0075881537,-0.014533243,0.013968776,0.025379587,0.021764139,-0.025336716,-0.008731379,-0.009174378,0.0058483086,-0.010510522,-0.029638099,0.009738845,0.00901004,-0.0009824587,-0.009360151,-0.028194778,-0.00053052773,0.0040798835,-0.013054197,-0.0046979384,0.0035243472,0.004526455,0.01182523,-0.02360759,-0.007873961,0.012604052,-0.008345541,-0.002545461,0.0051552285,-0.0034814763,-0.021578366,0.0065163807,0.01802008,0.009960345,-0.008902863,-0.02084956,0.0030045372,0.02319317,-0.0009511986,0.01800579,0.0032421136,0.006537816,0.019849237,0.028366262,-0.053531494,0.015933694,0.0017469901,-0.005666107,0.0048015434,-0.010046086,-0.012675503,0.0053910185,0.017305564,0.01657676,-0.008145477,-0.0011110716,-7.251215e-05,-0.007845379,0.0019649174,0.00765246,-0.0025275983,-0.0030867066,0.026751457,-0.014876211,-0.013075632,0.035868675,0.0072273235,0.019849237,0.0007712301,0.015533566,-0.0012495088,-0.0153906625,0.011525134,0.011203601,0.012675503,-0.015747922,-0.024479298,-0.0005358866,-0.018363046,0.017276984,-0.0075595733,-0.022821622,-0.018920368,0.011203601,-0.018648852,-0.012682648,-0.033325,-0.005955486,-0.0007832875,-0.014511808,0.029695261,0.014933372,-0.015347791,-0.0014013434,0.006309171,-0.024407847,-0.0023114572,-0.022149978,-0.026780037,-0.04361402,-0.043156732,-0.030038228,0.016676791,0.013404309,0.018434497,-0.0063234614,0.015633598,0.009703119,-0.026708586,-0.0022650138,0.0054874783,0.0066414205,0.047986854,0.0056518167,0.0218213,0.010353328,-0.028466294,0.024450717,-0.0049373014,0.0054195994,0.01043907,-0.009074345,-0.00091145374,0.028480584,-0.025179522,-0.0020899577,-0.01810582,0.029438036,0.0079882825,0.009503054,-0.013632954,-0.017305564,0.007609589,-0.023293203,0.027237328,-0.0053088493,0.010053231,0.0029509487,0.0039584157,0.01116073,-0.025593942,0.0022132117,0.012911294,-0.020206496,0.0017818228,-0.02319317,-0.015061985,0.03472545,0.031553004,-0.013425744,-0.0053088493,-0.0022685863,0.0063841953,0.01456897,-0.020377979,0.010389054,0.011310779,0.004855132,-0.0014710086,0.014447502,-0.0048265513,0.0278661,-0.019692045,-0.017462758,0.022607267,0.02232146,-0.024007717,-0.024536459,0.0025490336,0.0040012863,-0.034553967,-0.0045085927,0.015847953,0.0061019617,0.010853489,0.0136615345,-0.66032654,-0.015933694,0.003947698,-0.010932086,0.02782323,0.030495519,-0.010310457,-0.015633598,-0.0066628563,0.0023328927,-0.012025294,-0.0037119077,0.010489086,-0.010567683,0.026737167,-0.019577721,0.0024043443,-0.025936909,-0.014461792,0.03904112,-0.0331821,0.013811583,0.0025847594,0.0133828735,0.0040262947,-0.014497518,-0.0108249085,-0.033582225,-0.012618342,-0.011489408,-0.02362188,0.024393557,-0.014933372,-0.020063592,0.053531494,-0.0013111357,-0.026165554,0.011089279,0.0259512,0.048587047,-0.016405275,-0.0075810086,0.03226752,0.015662178,-0.023893395,-0.0066628563,0.034868356,0.029009325,-0.019391948,-0.005090922,0.011396521,-0.008188347,-0.017434178,0.0032331822,0.01663392,0.00043540783,0.025922619,-0.03183881,0.014690437,0.009160087,0.009095781,0.010717731,-0.031467263,-0.002372191,-0.008974314,0.004401415,-0.010574828,0.007330928,0.00069174025,-0.0246222,0.0011226825,0.009703119,0.014733308,0.021249687,-0.0021882036,-0.0025811868,0.031352937,-7.094914e-05,-0.012368262,-0.0029259406,0.005505341,0.0018666715,-0.030466937,-0.023421815,0.027251618,0.013561502,-0.002495445,-0.016276661,0.0021149658,0.0120681655,0.009531635,0.011389376,-0.011267908,-0.003318924,-0.018648852,-0.009095781,-0.009667393,0.025150942,0.030352615,-0.032924872,0.0030545534,0.004326391,0.009238684,0.003947698,0.0068629207,0.007781073,-0.008745669,0.023779072,0.027022973,-0.014590405,-0.007359509,-0.0017684257,-0.009631667,0.000363733,-0.008259798,-0.03555429,-0.0027169448,-0.004437141,-0.009946054,0.0035886536,0.03712622,-0.020506592,0.002129256,-0.007473831,-0.0035547141,0.025422458,0.0015165589,-0.009045765,-0.014240292,-0.015876533,0.035754353,-0.011225037,-0.0067986143,-0.015019114,0.0039083995,0.009610232,0.00022406757,-0.01160373,0.0166625,-0.03604016,0.028151907,0.013089922,-0.002922368,-0.016833983,0.001870244,-0.004526455,0.019306205,0.007352364,-0.02086385,-0.008910008,0.013304277,-2.7129257e-05,0.0017836092,-0.0049515916,0.02134972,0.0029938195,-0.0039512706,-0.011074989,-0.00926012,-0.023107428,0.013883035,0.014426067,-0.0025186667,-0.007866816,0.0078096534,-0.018877497,-0.015019114,0.003461827,-0.0075309924,-0.030409776,0.024322104,-0.03198171,-0.012268229,0.011775214,-0.020149333,0.033353582,-0.017491339,0.008874282,0.007616734,0.010117538,-0.005498196,0.017262693,-0.0063484693,0.017219823,0.0047015115,0.00278661,-0.005726841,0.029809583,-0.012303955,0.009874603,-0.022364331,0.0028902148,0.01458326,0.003947698,0.012132471,0.00039521634,6.190607e-05,0.01753421,-0.008152622,-0.012168197,0.011503698,-0.0068200496,0.0026169126,-0.027280198,-0.0046336325,-0.04507163,0.0076238797,-0.029352292,0.012682648,0.015490694,0.017448468,-0.032153197,-0.019434819,-0.0050480515,0.012075311,0.035697192,-0.002545461,0.0027080134,-0.013304277,0.00201672,0.0371548,0.0004889965,0.007248759,-0.006562824,-0.009188668,0.03232468,0.0027401666,0.010088957,0.016491016,-0.020749528,-0.033953775,0.0079239765,-0.0035868674,0.015676469,0.03009539,0.0046229144,0.008938588,-0.02225001,0.006630703,0.006619985,0.001870244,0.015433533,0.019406239,0.0034653998,0.004419278,0.0010592692,0.024007717,0.0058661713,-0.012089601,0.031210033,-0.015619307,0.0064056306,-0.03272481,0.009138652,-5.0937135e-05,-0.004887285,-0.0057982923,0.0075738635,0.007995428,0.031495843,0.020206496,0.022164268,-0.0054124543,0.00048006503,0.010796328,-0.00881712,-0.00449073,0.004212069,-0.024807975,-0.004251367,-0.0016049802,-0.029838163,-0.006148405,-0.0019452682,-0.0029438036,0.0046657855,-0.0114465365,0.021406882,-0.001547819,0.020235077,-0.00952449,-0.009138652,0.0162195,0.01854882,0.01368297,-0.0066914367,-0.020578044,0.0046050516,-0.010646279,-0.0015737201,0.030638421,0.0035314923,0.030438356,0.0064485017,-0.0035118433,-0.0014647566,0.020978171,-0.02636562,-0.015690759,0.024779394,-0.013783002,0.00081499416,-0.012897003,0.0011271482,0.037354864,-0.0014656497,-0.01956343,-0.007938267,0.005751849,-0.015633598,-0.015133437,0.0025811868,0.00998178,-0.012018149,0.0033600088,-0.0004943554,-0.0107534565,0.0012146762,0.004294238,0.009881748,-0.018691722,-0.034268163,-0.014025938,0.040355828,0.028209068,0.001838091,-0.011532279,0.006884356,-0.0032099604,0.014526098,-0.0120681655,-0.019234754,-0.001714837,-0.0051052123,0.006302026,-0.005530349,0.00015976117,-0.005405309,0.002279304,-0.012039584,-0.0006912936,-0.016976887,0.003597585,-0.019849237,-0.00672359,0.007973992,0.0021810585,0.008931443,0.025293846,0.013232825,0.021249687,0.01527634,-0.00365296,-0.0094387485,-0.013847308,0.008209783,0.0016737523,0.014340324,0.0001113081,0.012904149,0.0305241,0.010967812,0.0017943268,-0.002245365,0.014476082,0.008102605,-0.0005827766,-0.007473831,0.013940196,-0.013361438,-0.021721268,0.019349078,-0.0029170092,-0.00974599,0.0061055343,0.028166197,-0.015404953,-0.021735558,0.022035655,0.00044433927,-0.014368905,-0.008374121,-0.017048338,-0.05053053,-0.014847631,0.0053445753,0.03661177,0.006341324,-0.01859169,0.004908721,-0.042928085,-0.0030009646,-0.008359831,0.015362081,0.005483906,-0.004973027,-0.0140759535,0.013861599,0.011046408,0.033839453,0.0020971028,0.0039512706,-0.0054088817,0.011246473,-0.032181777,-0.009603087,0.0017505628,-0.024222072,-0.010617699,-0.0015344218,-0.00090162916,-0.018677432,0.011696617,0.015819373,0.011782359,0.01817727,0.038698155,-0.01856311,0.025265265,-0.009324426,0.0015504984,0.008495589,-0.010103248,-0.0049980353,0.009117216,0.001714837,-0.018734593,-0.008195492,-0.016891146,0.010374764,0.008724234,0.023393234,-0.0032546178,0.01114644,0.032153197,0.00029697045,0.016776823,0.01228252,-0.013418599,0.010882069,-0.004780108,-3.301843e-05,-0.006741453,-0.01135365,-0.0034511094,-0.030238293,0.006241292,0.018348755,-0.023336073,0.011782359,-0.013418599,-0.023564719,0.015962275,0.0041691978,-0.020578044,0.021406882,0.00023020794,0.004326391,-0.029609518,-0.029552357,0.0017371656,0.020520883,0.0013754421,-0.0027169448,-0.012661213,-0.016948307,-0.024307813,0.020720946,-0.0007359509,-0.029037906,0.0050051804,-0.035868675,0.0010878498,0.026579972,0.013411454,-0.005633954,-0.01947769,-0.01664821,-0.045843307,-0.011875246,-0.024536459,0.011989568,0.019077562,0.026579972,0.046729308,0.0014513594,-0.012225359,0.0010824909,-0.0028491302,0.005608946,-0.0040870286,0.010517667,-0.034353904,0.012604052,0.031724487,-0.009124362,-0.005869744,-0.0056196637,-0.009374442,0.013325713,-0.0061055343,-0.01619092,-0.002761602,-0.018906077,0.007188025,-0.006712872,0.0019113288,0.033353582,0.0071987426,0.004090601,0.024736524,0.00905291,0.031381518,0.005126648,0.022207139,-0.03901254,0.018691722,-0.011417956,0.0040370123,-0.007473831,-0.0019809941,-0.009431603,-0.028123327,0.0023846952,0.0021685543,0.006937945,0.008131186,-0.011639456,-0.01751992,-0.00718088,-0.014861921,-0.00036016043,-0.019849237,-0.004819406,-0.020106463,-0.006648566,-0.035782933,0.026522812,-0.002656211,0.0043906975,-0.00809546,0.027551714,-0.008852847,-0.008924298,-0.019420529,-0.032153197,0.04089886,-0.0006421707,0.015333501,0.018706013,0.01711979,-0.017291274,0.0070915655,-0.0017978994,-0.01956343,-0.0010110394,0.024064878,0.014704728,-0.008652782,0.017648531,0.018720303,-0.0027723198,-0.02778036,0.015847953,0.0022382196,0.0029134366,-0.028180487,-0.019877817,-0.009831732,0.012782681,-0.025536781,0.0044514313,0.0032903436,-0.013818728,-0.039241184,0.041127507,-0.03281055,0.021206817,0.011875246,-0.0179915,0.007170162,-0.018477367,-0.015219178,0.020578044,0.009738845,0.013854454,0.007866816,0.011017827,0.0016290952,-0.012218214,-0.011832375,-0.0027919689,0.010889214,0.03189597,0.011668037,-0.0070987106,0.010289022,-0.005987639,0.01709121,-0.008145477,-0.018706013,0.0046800757,0.003497553,-0.009860313,0.002568683,0.0012307528,0.0005814369,-0.00557322,0.009002895,0.0039584157,-0.024922298,-0.008309815,-0.0005707192,-0.001702333,-0.008038299,-0.029052196,-0.006259155,0.0089600235,0.0009002894,0.0027258762,-0.004744382,0.00908149,-0.038155124,0.014847631,-0.014947662,-0.0024222073,-0.009574506,0.01660534,-0.023879105,-0.0019649174,0.005098067,0.0011968133,-0.015962275,-0.010596263,0.02497946,-0.00011677861,0.02223572,-0.012925584,0.020192206,0.007595299,0.011868101,-0.008409847,-0.01298989,0.0056803976,0.0040012863,0.011510843,0.019992141,0.014276018,0.013640099,0.001213783,0.02775178,0.0129684545,0.007731057,0.014297454,-0.012525455,0.041098926,-0.002934872,-0.0029795293,0.0057589943,0.0063234614,-0.005473188,0.0037226253,0.010074667,-0.012575471,-0.00032398806,0.03369655,-0.008045444,0.021892752,0.0022364333,0.020063592,-0.05784717,-0.010882069,-0.0067950417,-0.02362188,-0.020478012,0.008074025,0.020220786,-0.016934017,-0.021921333,-0.00730592,-0.0025418885,-0.033439323,-0.019334786,0.0092315385,-0.0028276946,-0.013097067,-0.011317924,0.019806366,-0.010689151,0.014483227,0.0043406812,-0.018505948,0.012496875,-0.0020560182,0.00026905973,-0.008224073,-0.03198171,-0.026594264,0.029109359,0.00881712,0.0005671466,-0.00023623666,0.0013513273,0.015947985,-0.015476404,-0.015690759,0.014297454,0.0006185024,0.03058126,-0.01756279,-0.027923262,0.006791469,-0.0030366904,-0.003665464,-0.0065949773,0.0032206783,0.01817727,0.0093672965,-0.00831696,-0.02636562,-0.012361117,0.0063234614,0.01953485,-0.022007074,0.0133828735,0.013289986,0.004101319,-0.016891146,0.001678218,-0.0075881537,-0.01954914,-0.014647566,0.017034048,-0.029952487,-0.00047827876,-0.010160409,0.0036547463,0.0063806227,0.044671502,0.0023025258,-0.013404309,0.005819728,0.0024079168,0.03323926,-0.004790826,-0.014483227,0.01343289,-0.018491657,-0.0043299636,-0.018291594,-0.002841985,-0.015462114,-0.009495909,-0.0017264478,-0.025393877,-0.03704048,0.0045443177,0.010346183,0.01389018,0.020335108,0.22990248,-0.01904898,-0.036468863,0.042385053,-0.0001738282,-0.021749848,-0.011982423,0.00203101,-0.015104856,0.006198421,0.00544818,-0.009152942,-0.0007658712,0.0033010612,-0.011760923,0.011903827,-0.044414278,-0.02785181,0.0026204851,-0.010796328,0.031009968,0.016062308,-0.00977457,-0.013497196,0.022592977,0.0070987106,-0.010517667,-0.0017300204,0.027608875,0.0032206783,-0.0047158017,-0.015833663,0.004722947,0.016505307,-0.006098389,-0.0028866422,0.007216606,-0.0185774,0.04369976,0.018305885,-0.006073381,-0.014011648,0.008895718,-0.012889858,-0.018863207,-0.021878462,-0.0025436748,0.0032653355,0.013168519,0.008509879,-0.02360759,-0.015647888,0.014890501,0.005355293,-0.0016103392,0.0021149658,0.027908972,0.0149762435,0.0046836482,-0.0061698407,0.0044728667,0.05887607,-0.023907686,0.016476726,-0.02597978,-0.018062951,-0.008052589,-0.04764389,0.0246222,0.012189633,0.028009005,-0.024693653,-0.0009485192,0.010710586,-0.01182523,-0.01803437,-0.0008685828,0.020135043,0.02130685,0.019592011,0.0026705014,0.0012852346,-0.015762212,0.0028759246,-0.0074023795,-0.031410098,0.00976028,0.0053588655,-0.033410743,-0.0036047304,0.017934337,-0.0008779608,-0.034096677,0.00406202,0.018948948,0.015462114,-0.0068307673,0.013675825,-0.00081365445,-0.004022722,-0.01250402,0.017062629,0.0067700334,0.018848917,-0.019091852,-0.007895396,-0.008795685,-0.012904149,0.006680719,-0.0019881392,-0.0033600088,-0.02322175,-0.0067521706,0.0024811546,-0.012232504,0.007595299,-0.017377015,-0.027637456,0.009831732,0.007909686,-0.014776179,-0.0035761497,-0.0017353793,0.017419888,-0.020277947,0.00081633386,-0.011396521,0.001943482,0.010096103,-0.048415564,0.0115179885,-0.024222072,-0.001368297,-0.0046907933,0.010817763,0.011317924,0.0037619236,0.0013977707,-0.021121075,0.010782037,-0.0020327964,-0.023921976,0.018834626,-0.012439713,0.014961952,-0.0057554217,0.0034528957,0.010710586,-0.005701833,0.0058411635,-0.0005926012,-0.024693653,-0.013082777,0.008216928,0.028623488,-0.027580295,-0.034068096,-0.027423102,0.010789183,-0.008238363,-0.03192455,-0.008931443,0.020192206,0.0037011898,-0.034125257,-0.012175342,-0.18748884,0.0227073,0.0065342435,-0.042470794,0.02092101,-0.0034743312,0.019091852,0.015662178,0.009581652,-0.0016496375,0.008688508,0.0044800118,-0.024336394,-0.018463077,0.013754422,-0.015333501,0.007466686,0.01903469,0.02179272,0.004805116,0.039298348,0.010517667,0.0030063235,-0.0016728592,0.024036298,-0.0042799474,-0.0014433211,-0.0027687473,0.006012647,0.0029759568,0.0069629527,-0.008359831,0.02779465,-0.003343932,0.012475439,-0.008345541,0.0017157302,0.016676791,-0.007831089,0.008659927,0.00036953844,0.049072918,0.029295132,0.015476404,-0.0007850738,-0.027608875,0.005498196,-0.03232468,-0.013425744,-0.02132114,0.026694296,-0.012875567,0.012568326,-0.0019309779,0.027980424,0.01021757,0.0118609555,-0.010017506,0.0010726664,-0.0118609555,-0.00055598235,-0.03604016,0.0051480834,-0.010331892,-0.018248724,-0.01947769,-0.031610165,0.027523134,-0.0055196313,0.01950627,-0.01529063,0.008609911,-0.0027026546,0.0084027015,0.023964847,0.008216928,-0.030752743,-0.0067986143,0.026637135,-0.023950556,0.00054928375,0.015705049,-0.013297132,0.018334465,0.01797721,0.020049302,0.0078025083,-0.011510843,-0.019820657,-0.00996749,0.03372513,-0.022492945,-0.0006694116,-0.006952235,-0.016076598,0.013089922,0.004437141,0.00580901,0.014468937,-0.011989568,0.012932729,0.015819373,-0.020092173,0.03561145,0.018977528,-0.023936266,0.0040691653,0.025693974,0.03183881,-0.015162017,-0.0114465365,0.038869638,-0.011546569,0.014326034,-0.011217892,0.04407131,-0.013111358,-0.02366475,0.015619307,0.037783574,-0.0016308815,0.007338073,0.014804759,0.012111036,-0.017019758,0.01751992,-0.09528778,-0.03272481,0.018505948,-0.0099246185,-0.020292237,0.030895647,0.008652782,-0.00052516884,-0.014204566,0.018477367,0.004419278,-0.028652068,-0.017391305,0.0041370443,0.015619307,0.027537424,-0.021878462,-0.015747922,-0.0026633563,0.02646565,0.0009851382,0.005466043,0.012375407,-0.002736594,-0.0093029905,0.023564719,-0.001188775,0.016033728,0.001188775,-0.009188668,0.007138009,-0.0076238797,-0.029981067,-0.024522169,-0.010324747,-0.01091065,-0.0036422424,-0.008574186,0.012561181,-0.032553323,0.00034810297,-0.025265265,0.028123327,-0.030352615,-0.00012392378,0.005108785,-0.024379266,0.0062019937,0.008745669,-0.017934337,-0.0007221071,-0.005505341,-0.017234113,-0.0016433854,0.026751457,-0.006705727,0.0056696795,0.0009136866,-0.01810582,-0.004923011,-0.014633276,-0.020792399,-0.021021044,0.030724162,0.015747922,0.0017594942,-0.013061342,-0.027508844,0.009467329,-0.0058804615,0.012239649,0.0171055,-0.038812477,0.00020665125,-0.013711551,-0.014933372,-0.0035565004,0.0007060305,0.02179272,-0.022921653,0.004619342,-0.012539745,-0.0016290952,-0.0024079168,0.020049302,0.01620521,0.019363368,0.007059412,-0.023321783,-0.053674396,-0.0069200816,-0.00017963364,0.01804866,-0.0126254875,-0.027951842,0.026279876,-0.0011110716,-0.0010548035,0.019777786,0.007938267,-0.020606624,-8.3174054e-05,-0.05653246,0.00063368585,-0.001454932,0.0045800437,-0.013011325,-0.012818406,-0.002365046,-0.02365046,-0.016348114,0.017777145,-0.025894038,-0.010760602,0.0022489375,-0.004887285,0.0093672965,-0.0030759887,0.020192206,-0.0044407137,0.011575149,-0.0019041835,-0.01250402,0.02042085,0.034582548,0.012861277,-0.016362404,0.028452003,-0.022592977,0.009960345,-0.004805116,-0.007338073,0.0026776465,-0.03478261,0.005108785,0.034925517,0.0044800118,-0.03055268,0.0041727703,0.013082777,0.032181777,0.0053159944,-0.020720946,-0.023436105,0.00030366905,-0.011046408,0.0028009003,0.0032099604,-0.00614126,0.0068879286,-0.0031617307,0.0022435784,0.027537424,0.01761995,-0.009381587,-0.02637991,-0.011682327,-0.0051052123,0.005301704,-0.017034048,0.001281662,-0.015890824,0.012146762,0.012811261,0.033382162,-0.01804866,-0.0011351863,0.0050480515,-0.0045157378,-0.009938909,0.040727377,-0.03606874,-0.0038047945,0.004190633,-0.0010637349,0.011089279,0.0009503055,-0.017834306,-0.019777786,0.0305241,-0.007609589,0.012432568,0.007981137,-0.010760602,-0.021564074,0.030867066,0.0063306065,-0.0048372694,-0.017234113,0.012632633,0.010610553,-0.008188347,-0.026594264,0.012675503,0.016991178,0.006394913,0.024879426,0.020749528,0.0023793362,-0.011325069,0.026522812,-0.012947019,0.021392591,0.010903505,-0.006630703,-0.00765246,0.003367154,0.013568647,-0.011689472,-0.03201029,-0.008445573,-0.010446215,0.014183131,-0.0126897935,0.030809905,0.020978171,-0.0371548,-0.0051802364,-0.013568647,-0.007816799,-0.029580938,0.007298775,0.0045478903,0.009403023,0.0024740095,0.022507235,0.028094746,0.026651425,0.014661856,-0.0015067344,0.02775178,-0.011882391,-0.027594585,0.00065780076,-0.0021524779,0.00041910794,-0.019406239,-0.011739488,0.014154551,0.029723842,-0.048558466,0.076824695,0.023493266,-0.013282841,-0.005926905,0.008538459,0.031495843,0.008238363,0.00055866176,-0.0153906625,-0.0399557,0.010682005,0.0051123574,0.0045800437,-0.02966668,-0.014090244,-0.019234754,-0.0061198245,-0.0014227788,-0.0003333661,-0.025522491,0.028209068,-0.010003216,0.001943482,-0.009095781,-0.014861921,-0.010789183,0.040412992,-0.0199064,0.010038941,-0.054446075,0.002606195,0.014861921,-0.017691404,-0.024079168,0.0153906625,-0.009495909,0.009245829,0.022435784,0.030038228,0.0060662357,0.0070558395,0.01526205,-0.009324426,-0.021192526,-0.004437141,0.010667715,-0.01659105,0.0033528635,-0.021506913]','get all recipes','{"mem_type": "recipe", "custom_id": "83ab2323-e9cc-42c5-bd2d-a68b76146a95"}','83ab2323-e9cc-42c5-bd2d-a68b76146a95','bc542ac2-5bb5-4a3a-b31d-e6c8696589fb'), + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[0.0038011128,0.0043586562,-0.0043095644,-0.01928609,-0.0029121996,0.019103749,-0.02880991,0.009909544,-0.022371864,-0.023031099,0.008142237,0.005649071,0.010807224,-0.018262174,0.005081008,0.010218121,0.0031260997,-0.023451885,0.0023967351,0.010197082,-0.0185427,0.0104215015,0.027379233,0.0065467507,0.014629375,0.014047286,-0.015484977,-0.029735643,0.00034912207,-0.0011729449,0.029763695,-0.015541081,0.0006859712,-0.011410353,-0.011347234,-0.0060628457,-0.014292745,-0.020716768,0.019552588,-0.028683674,0.017392548,-0.00535452,0.001516588,-0.0005115197,-0.011108788,0.016607078,-0.009930584,-0.0007591706,-0.039385702,0.031110216,0.01580758,0.034813147,-0.0137878,-0.003066488,0.016719287,-0.0046426877,-0.004207874,0.010042793,-0.017785281,-0.022245629,0.014019233,-0.008184316,-0.031138267,0.025317375,0.0052703624,-0.0071218265,-0.0021354961,-0.015933817,0.034167938,0.006325837,0.014019233,0.029118488,-0.009614993,-0.018907381,0.01901959,0.008815496,-0.013177658,0.00031164568,-0.00027219686,0.005480756,0.022329787,-0.041209117,-0.008548998,0.0027070658,0.0043902155,0.010091885,0.0095027825,0.022287708,0.005298415,-0.00015823361,0.03060527,0.009453691,0.014145469,0.004088651,-0.0041342364,0.002496672,-0.007511055,0.031026058,0.02768781,-0.027631706,-0.031138267,0.0083245775,-0.009748242,-0.015863687,-0.027884178,-0.019720905,0.009839413,0.0066519473,0.023353701,0.024097092,-0.015513029,0.0066659735,0.007335727,-0.038291655,-0.014201575,-0.02291889,-0.004299045,0.0012272967,0.0030927872,-0.033691045,0.021937052,0.040620014,0.002745638,-0.0041973544,0.024517879,0.004064105,-0.022596285,-0.046707403,-0.0061014174,0.0025054384,3.873655e-05,-0.010077859,-0.0051581524,0.012490372,-0.0062521994,0.009103035,-0.0014464568,-0.0062136273,-0.016228369,-0.011810101,-0.012118678,0.018907381,0.019748956,-0.0142226145,0.016214343,0.029118488,0.01928609,0.018192044,-0.004688273,-0.016046027,0.009593953,-0.009636032,0.01569537,0.023970857,-0.007637291,0.0005759528,0.010407476,-0.0022810185,-0.010793198,-0.028669648,-0.0048776274,0.0022880316,-0.019047644,-0.003702929,0.01468548,0.02970759,0.010225134,-0.013212725,0.0036117586,-0.0027666774,-0.006799223,0.01037241,0.00087532547,-0.0089347195,0.0030682413,-0.0023932285,0.019580642,0.032428686,-0.016999813,-0.025064902,0.0011378793,0.013030383,0.019889219,-0.0036047453,-0.022624338,-0.013738709,0.01663513,-0.018248148,0.021614447,-0.008520945,0.021586396,2.7367618e-05,-0.015400819,0.0052633495,-0.63062006,-0.018009702,0.0074900156,-0.024840482,0.022764599,0.0003050709,0.01850062,-0.008296525,-0.010631896,0.046454933,0.019131802,0.030885795,-0.0053404937,-0.034953408,-0.0023038113,-0.020885082,0.005168672,-0.0016068819,0.013409092,-0.008871602,-0.026986498,-0.009131087,0.016550971,-0.0022389397,-0.0015902257,0.0174206,0.016046027,-0.022119392,-0.0024055014,-0.0030436956,0.00042604725,0.004930226,-0.00093975855,0.014082352,0.037057348,-0.0182762,-0.008065092,0.012315044,0.017630992,0.01618629,-0.014503139,-0.018865302,0.019580642,0.0045760632,0.018402437,0.037281767,0.0038151392,-0.01932817,-0.01861283,-0.03133464,0.0021249766,-0.00990253,-0.028894069,0.005985701,0.026986498,-0.009418625,-0.010049806,-0.020618584,0.007728462,-0.01663513,-0.0018847769,-0.01300233,-0.03610356,-0.013233763,-0.013977155,0.021937052,-0.0039904676,-0.0018497113,0.010533712,-0.022105366,-0.020997293,0.015092242,-0.008647182,-0.007777554,0.01899154,0.012286992,0.0066589606,5.6214565e-05,-0.01618629,0.014699507,-0.006224147,-0.0033820786,0.005344,-0.006816756,-0.0057121892,0.0070201363,-0.029988116,-0.018318279,0.0005294908,0.01113684,0.027785994,-0.0008534094,0.0061645354,0.013507276,0.012721806,0.004930226,-0.0013561628,-0.005003864,0.017280336,-0.008422761,-0.0010642415,-0.008857575,-0.0045795697,-0.009264337,0.03296168,0.004530478,-0.014531191,0.013570393,0.04286421,-0.0098534385,-0.015302635,-0.01614421,-0.03150295,-0.0022950447,0.0022775119,-0.026663894,0.015372766,-0.0068833805,0.01573745,-0.020604558,0.020646635,0.0101550035,0.028543413,-0.01692968,0.029090436,0.012111665,0.032007895,-0.0013491497,-0.012974278,0.0019215958,-0.008675234,-0.0035889659,0.042247057,-0.023367729,0.034672882,0.014299759,0.0007284882,-0.021937052,-0.01962272,-0.01659305,-0.011501523,-0.011487497,0.011662825,-0.02735118,-0.015975896,-0.030296693,-0.011101775,0.0067851967,-0.023129283,-0.0091942055,0.0067466246,-0.012904147,0.006438047,0.016326552,0.02186692,-0.0026702469,0.019412326,-0.0109895645,-0.0027491446,-0.021053398,-0.009145114,0.018248148,-0.010617869,-0.019075697,0.019903244,-0.0061014174,-0.0040991707,-0.0021635487,0.010267213,-0.0065572704,0.010919434,-0.02366228,-0.02937096,0.02332565,0.009572914,0.015148346,-0.008226394,-0.021586396,0.006206614,0.00591557,0.014966005,0.040788326,0.00267726,-0.0055649136,0.03882465,-0.013598446,0.004004494,0.014096377,0.016536945,0.034925357,-0.006052326,0.018921407,0.012897134,-0.0028631077,0.020169744,0.011908284,0.008338604,0.0119503625,0.0040150136,0.005066982,0.046707403,0.036159664,0.0050143837,-0.017462678,0.019258037,-0.022077313,0.011578667,-0.02366228,-0.0075180684,-0.0050389296,0.030184483,-0.022904862,0.011368274,0.0029735644,-0.011305155,0.038880758,-0.0113822995,-0.021572368,-0.0047268453,0.01084229,0.0052738693,-0.006806236,0.016663183,0.00038418765,-0.005228284,-0.036945134,0.009755255,0.04011507,0.006206614,-0.006978058,-0.015036137,0.02548569,-0.003539874,0.020267928,0.030465007,-0.013914037,0.0009388819,-0.013956116,0.025387507,0.0091100475,0.017532809,0.00792483,0.023550069,-0.004548011,0.025892451,-0.018107885,0.018121911,0.014103391,-0.022049261,0.0095027825,-0.019791035,-0.010800211,-0.01618629,0.018220095,0.0013719423,-0.012883107,0.0011177165,0.02220355,0.025696084,0.021852894,0.012244913,-0.00812821,0.012876094,-0.008668221,-0.009173166,-0.0071884515,-0.009965649,-0.002545764,-0.0087103,-0.002514205,-0.0057682944,0.022119392,-0.020001428,-0.02411112,0.0041587823,-0.024251383,-0.018192044,-0.0048565883,-0.0052949083,0.0033943516,-0.017154101,-0.01014799,0.0107230665,0.023592148,-0.0071954643,0.008570037,-0.003490782,0.03719761,-0.048025873,0.016424736,-0.017069943,-0.009600966,0.005824399,-0.0019689344,0.0040956642,0.0033049344,0.014769638,-0.010716053,-0.01360546,0.0034136376,-0.00514062,-0.004249953,-0.012258939,0.0022827717,0.04196653,-0.0016217848,0.01084229,-0.022049261,-0.023381755,-0.009222258,0.0076302784,-0.0012755119,0.012497386,0.03464483,0.007609239,-0.0069394857,-0.021600422,0.0022985514,0.04825029,-0.00059260894,9.380053e-05,-0.05220569,-0.030072274,0.0116838645,0.039778437,0.0018339318,0.0033189605,0.0062767453,-0.0006408242,-0.011347234,0.010758132,-0.021235738,0.01850062,-0.008605103,-0.01302337,-0.016466815,0.025289323,0.005592966,0.024012936,0.009692137,-0.0077705407,-0.0149099,-0.0013982415,0.004544504,0.0005066982,-0.013689617,0.0016603569,0.02063261,0.013072462,0.018192044,0.019903244,0.026579738,0.029735643,-0.01014799,-0.0025299843,0.024251383,-0.006052326,0.013598446,-0.0021354961,0.019748956,0.01446106,0.0009108294,0.005168672,0.012890121,0.008990824,-0.0062662256,0.0008845302,-0.027631706,0.024826456,-0.0027386248,-0.0004405118,0.024966719,-0.018374383,-0.0020250394,0.020001428,-0.015456924,-0.022413943,-0.0053825723,-0.01104567,0.0050634756,0.0032874015,-0.010631896,0.007546121,-0.060032334,-0.035261985,-0.0068342886,0.0099375965,-0.02780002,-0.033410523,-0.0044287876,-0.028122624,-0.018360358,-0.025092956,-0.013661564,-0.002247706,-0.027771968,-0.015232503,0.030100325,0.029960062,-0.0027298585,0.009201218,0.004418268,0.0025369974,-0.020211823,-0.0004422651,-0.013745721,0.00445684,-0.01547095,-0.010716053,0.00044401837,-0.0020004935,-0.014187548,-0.021614447,-0.010919434,-0.0013228505,-0.026860261,0.0058945306,0.011368274,0.01726631,0.010274226,0.0354303,0.006999097,0.0009958636,-0.006865848,0.013633512,-0.020169744,-0.026341291,0.0043025515,0.0043270974,0.012483359,-0.0037099423,-0.0016875328,-0.027519496,-0.015905764,0.04522062,-0.025920503,0.0064660995,-0.008212368,0.0027789504,0.015933817,-0.0030366825,-0.01962272,-0.01082125,-0.021979129,-0.016158236,-0.004432294,0.019145828,0.0074900156,-0.044350993,0.00092573225,-0.019384274,-0.013079475,-0.035738878,-0.006374929,-0.024391642,0.022568231,0.0023458898,0.0013105775,-0.0112911295,0.0014184043,-0.019033618,0.025443612,-0.022582259,-0.016536945,-0.0041272235,-0.016845522,0.0032944146,-0.022119392,0.010491633,-0.018248148,-0.0094116125,0.015513029,0.00668,-0.0032611024,-0.0029490185,-0.01513432,0.00022704987,-0.0027473911,-0.042443424,-0.01951051,-0.021656526,0.0049723047,0.019608693,0.02735118,0.043986313,0.013184671,0.01070904,0.0238867,0.0054281577,0.010891381,0.009011864,-0.016017975,0.0032821416,-0.00904693,0.0031331128,0.016775392,-0.02291889,-0.024461774,0.005193218,-0.0025720631,0.010126951,-0.027884178,-0.008086132,-0.026285186,-0.025387507,-0.024139171,-0.00524231,0.001082651,-0.036945134,-0.003091034,0.025780242,0.004299045,-0.0005886641,-0.012904147,0.02168458,0.0052458164,0.023241492,0.0026632338,-0.013044409,-0.03641214,0.009488757,-0.0298198,0.005480756,0.0061890814,0.016032001,0.01205556,0.0054702363,0.012020494,-0.010021754,0.016466815,0.0021197167,-0.0037555275,-0.01569537,-0.023465913,0.009537849,-0.026369343,-0.030184483,-0.011894258,-0.0028315487,-0.00848588,-0.018668935,0.011431391,-0.02914654,0.0021249766,0.01279895,-0.0016165249,0.020758847,0.0056946566,0.02526127,-0.0077074226,0.009874478,-0.0063924617,-0.009881492,-0.017448653,0.0062767453,0.03882465,0.024391642,-0.029847853,-0.03461678,0.012041533,0.011999454,0.027056629,-0.046454933,0.023143308,0.010982552,0.0002224475,-0.018458541,0.0052212705,-0.028599517,0.0054386775,0.004775937,0.009944609,0.00546673,-0.014503139,-0.020281954,0.0036187717,-0.04148964,0.0018023726,-0.0022827717,-0.0017874698,0.017897492,-0.022582259,-0.002689533,0.029455118,-0.03251284,-0.0014070079,0.019201932,-0.0046532075,-0.0007828399,0.0066344147,-0.008478867,0.013801826,0.0024037482,0.038263604,-0.026397396,-0.042808108,0.015288609,0.013184671,0.016284473,-0.013219737,-0.0046847668,0.0056069926,-0.016298499,-0.00097219425,0.030998005,-0.031755425,-0.014159496,-0.03304584,-0.014173523,-0.01805178,-0.03169932,0.008955759,-0.0077074226,-0.0072585824,-0.00846484,0.035233933,0.023465913,0.008619129,0.014755611,-0.01984714,0.01502211,0.013345974,-0.001965428,0.008289512,0.017855413,0.011585681,-0.016158236,-0.0077004093,-0.0253314,0.0015148347,0.024644114,-0.018234123,-0.024251383,0.0054001054,0.014503139,0.03217621,0.00053869555,0.006676493,0.002696546,0.033634942,0.010253187,-0.014089365,0.00803704,0.04530478,-0.01816399,0.013619485,0.032989733,-0.024910614,0.04339721,-0.025962582,0.011459445,0.016326552,-0.014629375,-0.021221712,0.0041167038,0.021123528,-0.04965291,0.00018475197,-0.0012150237,0.00040785695,-5.43791e-05,0.0079739215,0.01805178,0.0042780056,-0.010049806,0.013184671,-0.0021249766,-0.00040106298,0.006059339,-0.0001192231,-0.01685955,-0.0043165777,-0.026285186,0.022624338,-0.021656526,0.025106981,0.022582259,-0.033634942,-0.030296693,-0.027407285,-0.0185427,0.0023493965,-0.014229627,0.032849472,0.0081913285,0.004320084,-0.0027508978,-0.0008902283,0.0042780056,0.013184671,-0.023704357,-0.015008084,0.007181438,-0.038263604,-0.011585681,-0.0024230343,-0.03228842,0.004649701,0.022932915,0.005042436,0.022680443,0.012518425,-0.014937953,-0.009636032,0.004442814,-0.008864588,-0.04182627,-0.0064205145,0.02739326,-0.047857556,0.016452787,0.013914037,-0.008605103,0.011052683,-0.007160399,-0.018556725,0.013395065,-0.006325837,-0.0048074964,-0.006767664,-0.00990253,-0.004961785,0.014117417,9.9827426e-05,-0.012385176,0.042780057,0.014299759,0.006287265,-0.006283758,0.012469333,-0.039525967,-0.0108983945,9.9498684e-05,-0.0077074226,0.0040746247,-0.014601323,-0.034364305,-0.01302337,-0.018402437,-0.012567516,-0.02429346,-0.015162373,0.010197082,-0.011305155,-0.01584966,0.0024633596,0.012897134,-0.019384274,-0.008829523,-0.00501789,-0.0109895645,-0.030773586,0.0012886615,-0.007405858,-0.018682962,-0.00846484,0.011192946,-0.0021933545,0.00029082547,0.030661374,0.21544315,0.00046111285,0.014587296,0.04126522,-0.013963128,0.036496297,0.014433008,0.013009343,0.013745721,-0.015064189,-0.0069394857,0.010533712,0.00029805777,0.0047303517,-0.0022143938,-0.02384462,-0.014699507,-0.026846236,-0.017911518,0.03217621,-0.0024510866,-0.011185932,-0.008492893,-0.0076302784,0.022960966,0.0087103,-0.007826646,0.02350799,0.009187192,0.0112911295,-0.009222258,0.008030027,-0.00072498166,-0.008317565,-0.009636032,-0.015569134,-0.004818016,-0.020997293,0.0018462047,-0.01524653,-0.02880991,0.010512672,0.007433911,-0.014145469,0.009944609,0.00445684,-0.0016024987,0.013289869,0.006487139,0.0066694804,-0.0238867,-0.03461678,0.016705262,0.0309419,-0.012981291,0.017602941,0.018416462,0.02134795,-0.021361975,0.020983266,0.011122814,0.030016167,-0.00015911025,-0.012805963,-0.010610856,0.01704189,-0.02485451,-0.0064660995,0.000368189,-0.02892212,0.04653909,-0.005116074,-0.013500262,0.0050704884,-0.031755425,-0.021740684,0.04294837,0.021979129,0.022301733,0.038207497,0.007749501,-0.0091942055,0.010884368,0.009797334,-0.0016884095,-0.0102461735,0.0062101204,0.011866205,-0.04350942,0.008443801,0.014362876,-0.009614993,-0.016649155,-0.010554751,0.0011966142,0.003930856,0.0019689344,-0.0037204619,-0.0034504565,-0.0059436224,-0.014783664,0.073553644,0.019889219,-0.0030735012,-0.022820706,-0.009173166,0.0071253334,-0.002247706,0.0018251654,-0.015891738,-0.0036924095,-0.05287895,-0.00013719423,-0.006399475,0.02175471,0.01901959,-0.014559244,-0.022456022,0.0033803254,0.01106671,-0.0038537113,-0.043144736,-0.004635675,0.009060956,-0.020001428,-0.0040956642,-0.02291889,-0.01607408,-0.0061645354,-0.007777554,0.0037344883,-0.000678958,0.012111665,-0.008548998,-0.0035503937,0.007321701,-0.021979129,0.0054071182,-0.010807224,0.023479939,0.005571927,0.00927135,0.0108142365,-0.010568777,0.022708494,0.0008547244,0.0030998006,-0.0035574068,-0.02294694,-0.025836347,-0.019145828,-0.010176042,0.0034802624,-0.0052878954,0.053187527,-0.006725585,0.003315454,-0.014103391,0.015162373,0.026509605,-0.0070341625,0.029511223,0.015400819,0.017939571,-0.022526154,0.014811716,-0.18166795,0.023676306,0.05481457,-0.020828977,0.018696988,-0.00211621,0.017462678,-0.007447937,0.00047119422,-0.01171893,0.017182153,0.024980744,-0.035794985,-0.0018549712,-0.005431664,0.003695916,-0.019244011,0.03686098,0.02615895,0.0043411236,-0.00047163255,-0.014839769,0.016508894,-0.008001974,0.011143854,0.02294694,-0.024966719,0.0046672337,0.0054386775,-0.0298198,-0.026874289,0.0007227901,0.031418793,-0.005617512,-0.0033364934,0.0024282942,-0.011810101,-0.01899154,-0.012385176,0.013942089,0.0044533336,0.00846484,0.002109197,0.0029753176,0.025892451,0.012953239,-0.012897134,-0.0047022994,0.022301733,-0.00013576969,0.01457327,-0.014201575,0.015569134,0.005571927,-0.0038431915,0.008843549,-0.0037450078,0.016438762,-0.0047724308,0.01625642,-0.016228369,-3.4435532e-05,0.004092158,-0.014362876,-0.01183114,-0.02521919,-0.005859465,0.012932199,-0.027407285,0.026074791,7.522671e-05,0.000312084,-0.019650772,-0.025415558,0.014699507,0.0074409237,-0.0060453126,0.025780242,0.027309101,0.014075339,-0.017392548,0.012876094,-0.033438575,0.003864231,-0.024083067,0.016424736,-0.022820706,0.023423834,-0.00063337275,-0.020506375,-0.0059260894,-0.03217621,0.026804157,-0.007798593,0.021376,0.029174592,-0.014895874,-0.003091034,0.0040150136,-0.015344714,0.016901629,0.027098708,-0.018402437,0.02593453,0.016368631,0.013310908,-0.033017788,0.0075531336,0.026229082,-0.007398845,-0.011655811,0.005024903,0.01641071,0.0044147614,-0.016705262,0.035065617,0.0030735012,-0.020885082,-0.00018332744,0.013794813,0.045388937,0.0091521265,-0.011515549,-0.008527959,0.009713177,-0.011564641,-0.08230602,0.0055368613,-0.0007061339,0.0102882525,0.008268473,-0.0018006194,0.0053124414,0.01843049,-0.018121911,0.036580455,0.008983811,-0.039834544,0.0051476327,0.0075881993,0.05127996,-0.0012185302,-0.0015209711,-0.019524537,0.024279434,0.03610356,-0.022371864,-0.01070904,0.009439665,-0.01573745,0.016550971,-0.0013254804,-0.014545218,0.009376546,0.0039238427,0.0095027825,-0.002752651,-0.039862595,0.009166153,0.0028297955,-0.007356766,-0.0006636168,-0.038880758,-0.0032225302,0.015386793,-0.014166509,-0.006132976,-0.017855413,0.021670552,-0.020366112,-0.007447937,-0.035233933,0.01115788,0.013233763,0.016032001,-0.029623432,-0.04193848,-0.008254447,-0.004625155,-0.004761911,0.009600966,0.00278421,0.026130898,0.007959896,-0.018318279,0.0070376694,0.002596609,-0.00155516,-0.02261031,0.031306583,0.053496104,0.0253314,-0.03980649,-0.00073024153,0.020141691,-0.00031778216,-0.022119392,0.019650772,-0.031559058,0.0080580795,-0.035682775,0.0061610285,-0.0023774488,-0.0072655957,0.00904693,0.0042850184,-0.016691234,-0.019033618,0.0089767985,0.0035503937,-0.00011051148,0.009299402,-0.0066098687,-0.013065449,0.008100158,-0.0036889028,0.029174592,0.015793554,0.012644662,0.00088628347,0.0062031075,0.010477607,-0.021993157,0.0043411236,-0.017869439,0.006967538,-0.034252096,-0.011529575,-0.09161945,0.028781857,0.011838153,-0.018416462,-0.0018742572,-0.023634227,-0.0069464985,-0.02291889,0.0016586037,0.001326357,-0.010379423,0.014867822,-0.028417176,0.0043411236,-0.024503853,0.00679221,0.016621104,0.015975896,0.025654005,0.0056701107,-0.0050073704,-0.005116074,0.019496484,-0.009222258,-0.010779171,-0.007104294,0.0002989344,0.00027285435,-0.019005565,-0.0016515906,0.029455118,-0.010204095,-0.019580642,0.011235024,-0.0067220787,-0.030184483,-0.008920694,0.025780242,0.043228894,0.01183114,0.0029928505,-0.03450457,0.0030612282,-0.030689428,-0.024026962,-0.0076302784,0.010028767,0.0047513912,-0.0045795697,-0.006974551,0.029875906,0.028333018,-0.008023013,-0.012455307,-0.012209848,-0.021614447,-0.0014596063,0.016663183,0.013689617,-0.015386793,0.037029292,0.03719761,0.023830594,0.012322057,-0.0024616064,0.008065092,-0.002247706,0.00902589,0.0047548977,-0.051616587,-0.01093346,-0.015709396,-0.007384819,0.028094571,-0.003927349,-0.034588728,0.0069885775,0.033410523,-0.009004851,-0.0081492495,0.0013272336,-0.0026562207,-0.040451698,0.030016167,0.016046027,-0.006711559,-0.01580758,0.022512127,-0.020352084,-0.00021324278,-0.02377449,0.006294278,0.010968526,-0.022974994,-0.021263791,0.0016840262,0.0020618583,0.008920694,0.029763695,0.0142226145,-0.00859809,-0.00096605776,-0.014418981,-0.009600966,-0.016298499,0.001326357,0.0057332288,-0.013338961,-0.0053264676,-0.0033312335,0.0009941102,0.008478867,-0.006350383,0.004512945,-0.01369663,0.0065958425,0.0029279792,-0.0007552258,-0.017140074,0.03641214,0.012048546,0.02772989,-0.019468432,-0.01147347,0.013037396,0.021965103,0.027912231,-0.030885795,0.0028806406,0.011003591,-0.007391832,0.0060803783,-0.01502211,-0.017616967,-0.012834015,-0.0002428294,-0.006687013,0.0014578531,0.0073778057,0.12073793,-0.0019321155,-0.020702742,0.006574803,0.014040273,0.01805178,0.0095869405,0.007945869,-0.007945869,-0.040507805,0.009355507,-0.014545218,-0.02287681,-0.03632798,-0.003483769,-0.0002763609,-0.02242797,0.004113197,0.002759664,0.0062031075,0.017322415,-0.01268674,0.011389313,0.011122814,-0.024517879,0.0077074226,0.017224232,0.0024282942,-0.018388411,-0.021361975,0.006206614,-0.0033803254,-0.03374715,-0.0052878954,-0.0054281577,-0.014839769,0.0052843885,-0.02440567,0.04014312,0.013030383,-0.003084021,-0.0009590446,0.001270252,-0.015204451,0.012251927,-0.0029928505,-0.0010098898,-0.022021208,-0.00031559056]','List organizations in the top 3 states by population in IPC Phase 3+ in Chad, using HAPI data','{"mem_type": "memory", "custom_id": "038c84df-9cc4-432c-a9b9-0e0b784c5af0"}','038c84df-9cc4-432c-a9b9-0e0b784c5af0','7b4d7e2a-1a61-4911-b168-f746e58c2750'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[0.0055742874,-0.002567106,0.0011944901,-0.023023622,-0.0020990893,0.0160383,-0.02989718,0.018930225,-0.018776547,-0.031070713,0.00016983064,-0.0011159052,0.008375402,-0.015786828,0.0021514792,0.018091986,0.005871163,-0.020187581,0.010820264,0.020522878,-0.021696411,0.016541244,0.0123081375,0.013062553,0.0066919387,0.023540536,0.0037092061,-0.036267795,-0.006360136,0.013293068,0.018483164,-0.024965541,0.0026736322,-0.009800407,-0.0012102071,-0.01039416,-0.0026544225,-0.021109644,0.020900084,-0.025272897,0.014990501,0.006471901,0.00064614235,-0.009136802,-0.0021671962,0.028891293,-0.0065627103,0.005424103,-0.027340552,0.016541244,0.012384976,0.034144256,-0.010624675,-0.011441958,0.012657404,-0.0071005803,-0.0026544225,-0.0051272265,-0.0072507644,-0.019628756,0.025887605,0.0055428534,-0.032858957,0.023596419,-0.00093952584,-0.0127482135,-0.0038698686,-0.009912172,0.027172903,0.0017733987,0.022450825,0.036686912,-0.025510397,-0.0015446293,0.01990817,0.010897103,-0.008934228,0.004547445,-0.002645691,0.0063636284,0.015675064,-0.02534275,-0.0032813551,-0.0028936698,0.0022056156,0.0087595945,-0.0044112313,0.027005255,0.003751118,0.0047360486,0.034898672,0.008214739,0.007215838,0.0011979828,-0.009066949,0.004453143,-0.015940506,0.033222195,0.008577976,-0.03246778,-0.025468485,0.004966564,-0.012978729,-0.014766972,-0.028695704,-0.016988304,0.0032778624,0.007369515,0.021151556,0.026572166,-0.015689034,0.0027172903,0.0060562743,-0.033976607,-0.0007496124,-0.00951401,-0.013809982,0.0013464208,0.0006771397,-0.035708968,0.0234148,0.039117806,0.011106662,-0.010918058,0.019740522,-0.00043199852,-0.026697902,-0.046913426,-0.011414017,-0.006761792,0.004568401,-0.015842712,-0.01818978,0.017169923,-0.008787536,0.006866572,0.008487167,-0.015940506,-0.019964052,-0.025440544,-0.006307746,0.015116237,0.028514085,-0.02059273,0.012405932,0.03056777,0.031042771,0.009919158,-0.012461815,-0.004652225,0.0029879715,-0.0035834704,0.011972843,0.017155953,-0.0012494995,0.008326504,0.012042696,0.008864374,-0.0030543322,-0.02905894,-0.012615492,-0.0012975236,-0.01798022,-0.0071459846,0.012922846,0.026083194,0.011218428,-0.01645742,0.006677968,-0.0013813475,-0.010359233,0.012929832,-0.018986106,-0.009639745,0.019572873,0.0034891684,0.021850089,0.03243984,-0.014361822,-0.021724353,0.003597441,0.017379483,0.013523584,-0.007816576,-0.014194175,-0.019824345,0.023037594,-0.0068246596,0.022925828,-0.012915861,0.023344947,-0.00015913438,-0.009569892,0.0064753937,-0.6281202,-0.031545717,0.010401145,-0.02989718,0.011022839,-0.0020711483,0.010142688,-0.005011969,-0.013397848,0.037385445,0.017826542,0.032775134,-4.5486453e-05,-0.032635428,-0.017449336,-0.018105956,0.007432383,-0.0027085587,0.013062553,-0.01333498,-0.023694213,0.003586963,0.0071494775,-0.003813986,0.008487167,0.019782433,0.027298639,-0.019000078,-0.008955183,0.00082208513,-0.0029862253,0.012580565,-0.009807393,0.015898595,0.045656066,-0.006471901,-0.022632444,0.011979828,0.011560708,0.021864058,-0.01971258,-0.014641236,0.029086882,0.0046103126,0.005546346,0.025761869,0.0047954237,-0.025272897,-0.007027234,-0.021961853,-0.0076349573,-0.006524291,-0.029170705,0.007215838,0.025608191,0.007537163,-0.0086618,-0.013642334,0.011225413,-0.008815477,0.00065793004,-0.0066395486,-0.024588335,-0.009919158,-0.013579466,0.026809666,-0.0004754385,0.0013979377,0.016415508,-0.027438346,-0.01754713,0.019880228,-0.00076009036,-0.016653009,0.029366294,0.0145155,0.0160383,-0.011330193,-0.017589042,0.017603012,-0.007837532,-0.006237893,-0.004082921,-0.014725059,-0.0039502,0.010079821,-0.016080212,-0.015018443,9.948627e-05,0.023303036,0.027885407,0.0018825444,0.01257358,0.009618789,0.0061505763,0.010652617,0.0023645316,-0.021207439,0.018329486,-0.013083508,-0.007432383,-0.0053158305,-0.0057873395,-0.010519896,0.03227219,0.00780959,-0.015647123,0.012545639,0.039732512,-0.014319911,-0.0014992248,-0.023652302,-0.028779527,-0.00032088824,0.005382191,-0.03123836,0.023945685,-0.011784239,-0.009807393,-0.0077537075,0.010659602,0.008116945,0.030400122,-0.0048897257,0.026055252,0.023708183,0.020061847,-0.009185699,-0.016890509,-0.001342055,-0.008033121,-0.007614001,0.038028095,-0.014780941,0.036435444,0.020941997,0.0070342193,-0.0155353565,-0.015493444,-0.012028725,-0.032300133,-0.01844125,0.015870653,-0.034563377,-0.011896004,-0.030819241,-0.01839934,0.006527784,0.0014162741,-0.008529079,0.0013813475,-0.017183894,0.012126519,0.011979828,0.017058158,-0.0054799854,0.020243464,-0.01645742,0.005874656,-0.028262613,0.0025845694,0.01844125,-0.0049036965,-0.01473903,0.027717758,-0.008214739,0.0055114194,0.00878055,0.01774272,-0.019181695,0.015758887,-0.01844125,-0.019139783,0.022716269,0.004743034,0.014117336,-0.003365179,-0.013628364,0.0026247348,0.0005435454,0.02166847,0.026362605,-0.0016555213,-0.0009840573,0.03657515,-0.0052843965,0.0038209714,0.001954144,0.008731653,0.018944195,-0.0060877083,0.013223215,0.023973627,0.0018458714,0.0140125565,0.015241973,0.0024046972,0.0095838625,0.013921747,0.00595848,0.05205462,0.035792794,0.0074184122,-0.009018051,0.018008161,-0.017519189,0.0050923,-0.029561883,0.0015673317,0.0054380735,0.03752515,-0.023931714,0.007142492,-0.003978141,-0.0055288826,0.031713363,-0.010603719,-0.004404246,-0.013782041,0.0025059844,-0.0020222508,-0.001711404,0.022269208,0.005948002,-0.008969154,-0.04076634,0.010547837,0.037944272,0.004725571,-0.0069503956,-0.01820375,0.014347852,-0.004648732,0.010952986,0.02689349,-0.00031346636,-0.0015778097,-0.015479474,0.03319425,0.016834628,0.009723569,0.002256259,0.030483946,-0.013796011,0.023959655,-0.006730358,0.02229715,0.031489834,-0.028067024,0.012825051,-0.022730239,-0.011427987,-0.021864058,0.023512594,0.003386135,-0.013600422,0.0049036965,0.025217013,0.024769953,0.027005255,0.018119926,-0.003476944,0.021277292,-0.017910367,-0.012510712,-0.010708499,-0.009297464,0.005843222,-0.023945685,-0.010631661,-0.0077676782,0.020075817,-0.01061769,-0.01841331,0.0015341514,-0.024755983,-0.011281296,-0.0009753256,-0.002387234,0.009192685,-0.022576561,-0.016387567,0.008102974,0.019153753,0.0025007455,-0.0016013852,0.0014049229,0.024225097,-0.0481149,0.0019314416,-0.001468664,0.0036638016,-0.0029512986,-0.010352247,0.004208657,0.0039362293,0.021542734,-0.007844517,-0.016136095,0.0173236,-0.0003248175,-0.002609018,-0.01686257,-0.013970644,0.045013417,-0.0052075577,0.0067478213,-0.02558025,-0.0119868135,-0.012510712,0.0071180435,-0.0028552506,0.01647139,0.030819241,0.0028552506,0.00083081675,-0.026292752,0.005071344,0.045013417,0.0011482124,-0.0048617846,-0.05621787,-0.025454514,0.016513303,0.039788395,-0.00011061913,-0.0022649907,0.0009334137,-0.013118436,-0.01397763,0.0012660897,-0.015926536,0.02252068,-0.0056196917,-0.0043064514,-0.005975943,0.030260416,-0.007823561,0.026642019,0.0049630716,-0.00557778,-0.013369907,0.00834746,-0.0057244715,0.0005046896,-0.016513303,0.0073625296,0.026837608,0.01863684,0.0088853305,0.028290555,0.029142763,0.03056777,-0.007970253,-0.005895612,0.013963659,0.0031206927,0.026153047,-0.0058537,0.018818459,0.020522878,0.012168432,0.006482379,0.0102195265,0.009039007,0.00036105386,0.0026037788,-0.026474372,0.025510397,-0.0048617846,0.015116237,0.028947175,-0.02078832,0.012566594,0.01302064,-0.010247468,-0.0145853525,-0.009004081,-0.0037092061,0.009989011,0.008410328,-0.015675064,0.010023938,-0.060409065,-0.030735418,-0.011106662,0.010429086,-0.024616275,-0.032998662,-0.022269208,-0.032803074,-0.017169923,-0.015647123,-0.01061769,0.003391374,-0.03615603,-0.022269208,0.033669256,0.027787613,0.006545247,0.006761792,0.005123734,0.006618593,-0.017686836,-0.012587551,-0.012957773,0.009947099,-0.021039791,-0.0036847575,0.00025147162,-0.016625067,-0.015465504,-0.0173236,-0.0039711557,-0.008256651,-0.016010359,0.010086806,0.020341258,0.018119926,0.015367709,0.023261124,0.005553331,-0.0006561837,-0.010240483,0.024211127,-0.019740522,-0.022897886,0.003719684,0.0065941443,0.0070342193,-0.01397763,-0.0005068725,-0.018022131,-0.022632444,0.052948743,-0.027885407,0.004620791,-0.0060632597,0.011015853,0.022143472,-0.002699827,-0.004617298,-0.008221725,-0.02404348,-0.020005964,0.0056755743,0.013153362,0.009416215,-0.05141197,0.008941213,-0.021919942,0.001209334,-0.028695704,-0.015074326,-0.020215522,0.0065627103,-0.005490463,-0.01842728,-0.009018051,0.01387285,-0.017700808,0.020103758,-0.017183894,-0.01623389,0.0033162818,-0.021794206,0.0037755666,-0.0118610775,0.016527273,-0.01990817,-0.0055009415,0.022157442,-0.0006522545,-0.0010102523,0.0026369593,-0.014068439,-0.005483478,0.0017367258,-0.042386938,-0.023386858,-0.02102582,-0.010205556,0.021067733,0.024127303,0.044957533,0.021291263,0.002567106,0.025258925,-0.0075301775,0.011246369,0.014697118,-0.021221409,0.003485676,-0.013467701,0.0131952735,0.0077676782,-0.017826542,-0.0043309,0.006084216,-0.013642334,0.012238285,-0.027885407,-0.011407032,-0.021193469,-0.023330977,-0.031881012,-0.011511811,0.0058816415,-0.033222195,-0.00162758,0.020411111,-0.008487167,0.008089003,-0.014152263,0.018888311,-0.005431088,0.025482455,0.0027399927,-0.00985629,-0.035233967,0.008172828,-0.031461895,0.014333881,0.015898595,0.013376893,0.014850795,0.005410132,0.0054485514,-0.009185699,0.0201317,0.0027434854,-0.0043064514,-0.0048513063,-0.021067733,0.013321009,-0.02817879,-0.027298639,-0.007020249,-0.015088296,-0.016499331,-0.0128110815,0.013383877,-0.030232474,0.0006387204,0.014445647,-0.005214543,0.02471407,0.010764382,0.020005964,-0.0042016716,-0.010107761,-0.007816576,-0.013397848,-0.019111842,-0.00084435084,0.039061923,0.029170705,-0.028807469,-0.03660309,0.010198571,0.0064858715,0.018119926,-0.050992854,0.022604503,0.0059200604,0.006988815,-0.02038317,0.010554822,-0.035848673,0.0017821303,0.001188378,0.004599835,0.0064439597,-0.007278706,-0.022632444,0.009360332,-0.031154538,0.007090102,-0.0033058038,-0.007858488,0.00780959,-0.023372889,0.013341965,0.013076523,-0.029925121,0.00071686873,0.01278314,0.0023103955,-0.0040619653,0.0019751,0.0020833726,0.011218428,-0.00022855101,0.039760455,-0.01686257,-0.04101781,0.018944195,0.01838537,0.018217722,-0.011525782,-0.00029338355,0.0043483633,-0.00822871,0.0022300642,0.021179497,-0.026711872,0.00079894625,-0.030511888,-0.015060355,-0.011763283,-0.034814846,0.008319519,-0.01193093,-0.0025059844,-0.018050073,0.034507494,0.014389764,0.00843827,0.015605209,-0.016499331,0.0029181184,0.016136095,-0.008340475,0.0024291459,0.015214032,0.0206067,-0.019670667,-0.008864374,-0.028891293,-0.0054345806,0.03705015,-0.013649319,-0.025831722,-0.0028063531,0.0052075577,0.027773641,0.011393061,0.0044286945,-0.0012084608,0.027787613,0.0023208733,-0.015102266,0.01027541,0.04406341,-0.02035523,0.0070027853,0.02231112,-0.026264811,0.039369278,-0.029310413,0.009849304,0.014766972,-0.024560394,-0.02254862,-0.0019978022,0.03227219,-0.051914915,0.010359233,-0.0022387959,0.005050388,-0.006618593,0.0067373435,0.015507415,0.0038070006,-0.0117982095,0.018986106,0.021500822,0.008221725,0.0069329324,-0.0018580958,-0.008389372,-0.0028500115,-0.025007455,0.01669492,-0.009388274,0.021961853,0.022059647,-0.038083978,-0.030875124,-0.014697118,-0.025244955,-0.0016555213,-0.011679459,0.015507415,0.004009575,0.009255553,0.0028430263,0.0025496427,0.002705066,0.010904089,-0.017225806,-0.009800407,0.01774272,-0.038391333,-0.016429478,-0.009842319,-0.020103758,0.0035485437,0.016191978,0.019055959,-0.003248175,0.011414017,-0.008745624,-0.016122125,0.009758496,-0.010806294,-0.036519267,0.00013184796,0.023931714,-0.043281056,0.011896004,0.018161839,-0.009968055,-0.009604818,-0.013153362,-0.010911074,0.013844908,-0.008242681,0.0028849381,-0.008047092,0.0035415583,-0.025175102,0.021752294,-0.0018039595,-0.012671375,0.04808696,0.0077676782,0.008012165,-0.007921356,0.013467701,-0.029282471,-0.01027541,0.012482771,-0.012657404,0.0024675652,-0.017044187,-0.030679535,-0.023330977,-0.025510397,-0.009465112,-0.02753614,-0.018371398,0.015898595,-0.0018353934,-0.017589042,0.00024797895,0.005811788,-0.012098578,-0.021682441,-0.0023435757,-0.013642334,-0.018105956,0.003180068,-0.014243072,-0.02644643,-0.010897103,0.0013472941,0.0032883405,0.004505533,0.024015538,0.21470086,-0.0027260222,0.021319203,0.039089866,-0.008375402,0.020941997,0.0031154538,0.0035904555,0.011204457,-0.016164036,-0.025244955,0.0023994583,-0.0010975688,0.006726865,0.0045404597,-0.03308249,-0.0231773,-0.02144494,-0.02665599,0.030511888,-0.006307746,-0.01158865,-0.0101846,0.005553331,0.020033905,0.0047779605,-0.007474295,0.01602433,0.017267717,0.015353738,-0.0110996775,0.014180204,0.0024710577,-0.010568793,-0.01278314,-0.015004472,-0.00040078285,-0.024811864,0.012734243,-0.009779451,-0.02755011,-0.0004003463,0.0067757624,-0.009402244,0.0066744755,0.00032307117,-0.0013586452,0.007194882,0.00050294324,0.003469959,-0.031070713,-0.031070713,0.023317005,0.024225097,-0.00639157,0.012322108,0.018175809,0.02861188,-0.025300838,0.019810375,0.018986106,0.03548544,-0.004247076,-0.010610704,-0.018734634,0.016066242,-0.014766972,-0.0035572753,0.006346165,-0.028290555,0.035206024,0.0034437638,-0.010177615,0.0013769816,-0.039089866,-0.02838835,0.03925751,0.03707809,0.011309237,0.034982495,0.008382387,-0.006318224,0.007886429,0.014780941,-0.0077886344,-0.0020187583,0.0160383,0.012405932,-0.046075188,0.0048513063,0.005431088,-0.00056188187,-0.018231692,-0.01902802,-0.00278889,0.008221725,-0.0072996616,0.0052005723,-0.0060772304,-0.015898595,-0.00810996,0.080750324,0.026167016,-0.015297855,-0.025524369,-0.0031381561,0.011071736,-0.0013874597,0.0010486715,-0.01345373,-0.0070656533,-0.04727666,-0.0014765225,-0.011001883,0.020215522,0.011567694,-0.014284984,-0.02144494,-0.0036044263,0.015605209,-0.005403147,-0.040961932,0.0046661953,0.01993611,-0.02101185,0.004802409,-0.018497134,-0.011337178,-0.019153753,-0.00954195,0.015423591,-0.009283493,0.015884623,-0.012866964,-0.017128011,0.008089003,-0.01992214,-0.0095838625,-0.0085081225,0.014990501,0.0015647121,-0.0014564397,-0.00017397819,-0.0070097707,0.010324307,0.011295266,0.0092695225,0.010422101,-0.0036358603,-0.027130991,-0.010778353,-0.016331684,-0.007893414,-0.0061680395,0.05401051,-0.0035677534,0.001964622,-0.023051564,0.014808883,0.029003058,-0.01774272,0.019600814,0.0141382925,0.01950302,-0.018371398,0.012664389,-0.18038896,0.018525075,0.047584016,-0.020243464,0.01990817,0.006524291,0.007607016,-0.00930445,0.0010739934,-0.011211443,0.021892,0.020047875,-0.0316016,-0.011218428,0.0006666617,-0.0126853455,-0.020397142,0.035038378,0.028500115,0.007460324,0.013265127,-0.012790125,0.01105078,-0.009437171,0.008312534,0.029813355,-0.019586844,0.020005964,0.0022545129,-0.034088373,-0.021263322,0.0038209714,0.02580378,0.00041890104,-0.006541754,0.0057139937,-0.012922846,-0.0061820103,-0.0086967265,0.023009652,0.009262538,-0.0015507415,0.0017917352,0.0062344,0.020173611,0.0050957925,-0.008612903,-0.010366218,0.030875124,0.0010801055,0.009527979,-0.007893414,0.010100776,0.007439368,-0.014543441,0.011316222,-0.00044924353,0.015465504,0.0013534062,0.0145155,-0.017826542,-0.015549327,0.0016345654,-0.009793422,-0.011344164,-0.030735418,-0.0054974486,0.013202259,-0.03140601,0.007998195,-0.0064299894,-0.0012145729,-0.026167016,-0.033054546,0.022786122,0.00023662779,-0.0041492814,0.024253039,0.023778036,0.01796625,-0.0129927,0.021375086,-0.02166847,0.0009037261,-0.019097872,0.016708892,-0.034256022,0.029673649,-0.002249274,-0.024616275,0.004103877,-0.0368825,0.013027626,-0.010072835,0.014347852,0.029086882,-0.022059647,0.006636056,0.001093203,-0.021109644,0.009695628,0.031378068,-0.021612588,0.023107447,0.020005964,0.022045678,-0.032328073,-0.0047465265,0.023708183,-0.0024570872,-0.020299347,0.007865474,0.0229398,0.0063321944,-0.010966956,0.028695704,-0.006831645,-0.0173236,-0.009262538,0.013509613,0.039592806,0.0044775917,-0.014766972,-0.0043239146,0.009416215,-0.010848206,-0.09131213,0.0077746636,0.010191585,0.011784239,-0.006147084,0.0043763043,0.0039851265,0.013314025,-0.032579545,0.030819241,0.0047500194,-0.038251627,-0.0024291459,-0.0013490404,0.049763437,-0.013907776,-0.00078803167,-0.026404519,0.023303036,0.035541322,-0.018064044,-0.016373595,0.009995996,-0.00628679,0.0060178554,-0.009681657,-0.0077117956,0.0046766736,0.009101875,0.017728748,-0.005350757,-0.031713363,0.0037476253,0.00287446,-0.0038209714,0.0052494695,-0.038642805,-0.0040794285,0.02253465,-0.012035711,-0.007432383,-0.015437562,0.023805978,-0.0047884383,-0.0071878964,-0.039341334,0.0026282275,0.007593045,0.009241582,-0.02210156,-0.032411896,-0.012266226,0.005225021,-0.0076838546,0.0011482124,-0.010918058,0.02843026,0.011295266,-0.01072247,0.010030923,0.0056860526,0.00039925482,-0.029114824,0.03372514,0.046410482,0.010673572,-0.042833995,-0.008033121,0.02211553,-0.0074184122,-0.036658973,0.020955967,-0.029282471,0.013963659,-0.035848673,-0.004362334,-0.002746978,0.0016485361,0.006608115,0.005403147,-0.00909489,-0.028863352,0.004694137,0.0048513063,-0.006175025,0.012978729,-0.005885134,-0.011113648,0.0043483633,-0.009185699,0.02859791,0.0074184122,0.018580958,0.009192685,0.012832037,0.012580565,-0.022227297,0.0029932107,-0.023219211,0.0033983593,-0.031685423,0.0037965225,-0.08432681,0.030204533,0.019698609,-0.017616984,0.0003547234,-0.030316299,0.0007072639,-0.012405932,0.0040060827,0.0050923,-0.025272897,0.0129927,-0.036658973,0.0040270383,-0.023736125,-0.006604622,0.017882425,0.014194175,0.024993483,0.004875755,-0.0008238314,0.007180911,0.020872144,-0.013083508,-0.023442741,0.0018842907,0.007928341,0.003174829,-0.015898595,-0.0026561688,0.028975116,-0.009730554,-0.022604503,0.008047092,-0.0076419427,-0.024951572,0.000434618,0.021081703,0.05157962,0.0137610845,-0.00021698157,-0.028220702,-3.4080735e-05,-0.037357505,-0.020159641,-0.008815477,0.021626558,-0.010568793,-0.00985629,-0.011833136,0.038223684,0.035625145,-0.0173236,-0.013118436,-0.016736833,-0.024755983,0.0064579304,0.020397142,0.017770661,-0.014655206,0.04311341,0.025189072,0.019363314,0.012238285,0.0007369515,0.0118610775,-0.011197472,0.005871163,0.0011063005,-0.038866334,-0.008529079,-0.003422808,-0.0033250134,0.02620893,-0.00443568,-0.035681028,0.008745624,0.033697195,-0.013991601,0.003981634,-0.0020886115,-0.011595635,-0.03252366,0.029310413,0.020229494,0.0028779528,-0.016317714,0.03053983,-0.031657483,0.0023261125,-0.023792008,0.0019751,0.013607408,-0.008424299,-0.008808492,0.002011773,0.007865474,0.0105967345,0.03836339,0.018594928,0.0050399103,-0.0045509376,-0.008005179,-0.030986888,-0.0149625605,-0.0060737375,0.005071344,-0.022269208,-0.009702613,0.0055742874,-0.006534769,0.0053961617,-0.0008915017,-0.0024501018,-0.018357428,0.00996107,-0.00514469,-0.009409229,-0.0206067,0.034731023,0.009611804,0.031126596,-0.015926536,-0.0125596095,0.022618474,0.022618474,0.03252366,-0.019586844,0.010163644,0.007816576,0.0040794285,0.004784946,-0.018022131,-0.019014047,-0.012825051,-0.0067932256,0.0011927438,0.009982026,0.0095838625,0.1100328,-0.0043064514,-0.017002275,0.0060667526,0.01862287,0.003978141,0.009870261,0.013656305,-0.009143787,-0.04294576,0.010841221,-0.016764775,-0.018175809,-0.03702221,0.0030997368,0.0031154538,-0.018734634,0.0017690329,-0.009576877,0.010477983,0.015130208,-0.009940114,0.011958872,0.0024204142,-0.01418719,0.0032289652,0.015786828,0.0019628757,-0.0014800151,-0.030428063,0.006559218,-0.011400046,-0.02841629,-0.0024326385,3.9865452e-05,-0.0036568162,-0.0025164625,-0.015940506,0.045013417,0.00405498,-0.012238285,0.012070637,-0.010568793,-0.014180204,0.0010495447,-0.0022597518,-0.0047989166,-0.02101185,-0.008186798]','List organizations in top 3 states by population in provided IPC Phase in a country, using HAPI data','{"mem_type": "recipe", "custom_id": "1cd0ae66-0095-40de-b94b-30ae30d933ac"}','1cd0ae66-0095-40de-b94b-30ae30d933ac','e7305641-3539-4c4f-88e0-81b9a5748abb'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.016531734,-0.0153025575,-0.014750119,-0.013182574,0.011186888,0.022884782,-0.0045679794,-0.0015545976,-0.012754434,-0.02740097,-0.0074579255,0.013845501,0.00514804,-0.009280974,-0.013327589,-0.0055865385,0.008576614,-0.024445422,0.008990943,-0.031875726,-0.035383713,0.010959007,0.01874149,-0.009508855,0.0033025488,3.4473484e-05,0.024514478,-0.029472616,0.012740622,0.00393958,0.012077696,-0.015205882,0.0042710435,-0.032870114,0.0021700491,-0.0022321986,0.0014389307,0.012747528,0.015178259,-0.00049676344,0.0023634026,-0.0077617667,5.5621535e-05,-0.0047855023,0.0012895996,0.029168775,0.016725088,-0.009619342,-0.020412618,0.035577066,0.0057729864,0.02343722,-0.028340116,0.0017065183,0.015854998,0.01562021,-0.010558489,-0.019418228,0.01086233,-0.03394737,0.015675453,0.005565822,-0.027994841,-0.0020474768,-0.017719477,-0.04618389,-0.0122986715,0.01689082,0.026309904,0.0020388449,0.02952786,0.034610298,-0.00902547,0.0038083757,0.037262004,0.0058420417,-0.013120424,-0.002447995,0.006643078,-0.0094398,0.033974994,-0.029610725,-0.015661644,0.009308596,0.008293489,-0.012250333,0.0034665542,0.023326734,-0.015205882,0.0029348317,0.013562376,0.010606827,0.030798469,0.008769968,-0.0022408303,-0.0058420417,0.015095393,0.023492465,0.03930603,-0.03206908,-0.023672007,0.005417354,-0.01249893,-0.007002163,-0.02412777,-0.0073612486,0.007485547,0.008245151,0.0113111865,-0.017526124,-0.0352456,0.036295235,-0.013541659,-0.035411336,0.004599054,-0.020454051,0.026019873,0.0008256372,-0.010889952,-0.012554174,0.011228321,0.017760912,-0.0062183905,-0.018755302,0.02682091,0.027387159,-0.005448429,-0.02385155,-0.009218824,-0.013106613,0.000501511,0.013479509,0.009778169,-0.022525696,-0.01363143,0.029831702,-0.018838167,0.019708259,-0.00801727,-0.04112908,0.012319388,0.02398966,0.026199415,-0.011525257,-0.020053532,0.013645241,0.007520075,0.021959446,-0.0057902504,-0.009702208,0.015123015,-0.009971523,-0.008528275,-0.02922402,-0.010130349,0.012574891,-0.023644386,0.0071609896,-0.0050617214,-0.011359525,-0.015813565,-0.0027880901,0.0076167514,0.015813565,0.021462252,0.048752733,-0.018465271,-0.010606827,-0.0066637946,-0.015413046,-0.0040293513,0.03974798,-0.008997849,-0.012374632,0.01759518,0.017001309,-0.01944585,0.016877009,-0.026696611,-0.011815287,-0.01314114,0.024362557,0.017346581,0.0016374635,0.00072852883,-0.024031093,0.023948226,-0.013224007,-0.00037354365,-0.0149296615,0.013058275,-0.007692712,0.005420807,0.012395348,-0.633316,-0.021683227,-0.022000879,-0.019487282,0.00335434,-0.003915411,0.008183002,-0.012533458,-0.03264914,0.010302986,0.01228486,0.021614173,-0.01603454,-0.023948226,0.0060112257,-0.02398966,-0.03325682,-0.006967636,0.033836883,0.014957284,-0.0017315507,0.006577476,0.013099708,0.0064255553,0.012243427,0.009888656,0.026503257,-0.008210624,0.017042741,0.0072645717,-0.013949082,0.0053310357,0.004823482,-0.009356935,0.040245175,-0.008852834,-0.010033672,0.0061389776,0.029085908,0.042620663,-0.023892984,-0.0046715615,0.04005182,0.021876581,-0.033726394,0.018465271,0.0009348302,-0.017111795,-0.0020923624,-0.02528789,-0.010883046,-0.025950817,-0.021213654,0.012250333,0.02371344,-0.0064324606,-0.001152353,-0.0144048445,0.023022892,-0.0051722093,-0.011221415,0.013293061,-0.018327162,-0.0149296615,0.0042848545,0.025646977,-0.020495484,0.01249893,0.0054380707,-0.0100682,0.008300395,0.0045783375,0.00645663,-0.012588702,0.0156064,0.021973258,0.008714724,-0.037676334,-0.009888656,0.005524389,0.0075476966,-0.014888229,-0.004274496,0.0133414,0.018465271,-0.008486843,-0.04201298,0.0042606853,0.010233931,0.018064752,-0.0054000905,0.022111367,-0.017539935,2.0338815e-05,-0.01618646,0.02313338,-0.017236095,0.023340544,0.014984906,-0.024210636,-0.009667681,-0.0058420417,-0.010503245,0.0013060002,0.021973258,0.023962038,-0.03878121,0.0015943042,0.04485804,-0.047924075,-0.016158838,-0.007019427,-0.038007796,-0.005862758,0.025937008,-0.02711094,0.013831689,0.008880456,0.008141569,-0.002717309,0.026530879,0.00072119175,0.04300737,-0.03433408,0.0078032,0.023312923,-0.002206303,-0.007941309,-0.026061306,-0.003981013,0.007927499,0.010807087,0.005652141,-0.021945637,0.025591733,0.009633154,0.017263716,-0.002244283,-0.021918014,-0.00563833,-0.0037703956,-0.0047129947,-0.0034268477,-0.02753908,-0.0046439394,-0.0048821787,-0.015081583,-0.0033577927,-0.00010520077,-0.010372041,-0.019625392,-0.014915851,-0.01213294,0.025923196,0.032483406,-0.0061113555,-0.008044892,-0.017070362,-0.0051169656,-0.0146810645,0.0018472177,0.0144048445,-0.010399663,0.0022649996,-0.005969793,0.01504015,-0.003186882,0.018575758,0.010537772,-0.02327149,0.017236095,-0.0060423007,-0.02513597,0.025729842,0.0030107922,0.045299992,-0.048476513,-0.016614601,-0.0004199399,-0.0010392757,0.014556766,0.01092448,-0.008521371,-0.018561948,0.011476918,-0.00070133846,0.0033008226,0.014598198,0.009798885,0.0063668587,-0.015799753,0.012519647,0.008500654,0.008887361,1.912496e-05,0.03190335,-0.026807098,0.009432894,0.003998277,0.02727667,0.04256542,0.017484691,-2.35353e-05,0.014025043,0.030964201,-0.030328896,-0.00034139,-0.019625392,0.00050841644,0.0341131,0.03240054,-0.035162736,-0.005755723,-0.021061733,-0.010275364,0.0044851135,-0.0017410457,-0.003915411,-0.021793716,0.0016685382,-0.00016022887,-0.0095157605,0.014308168,0.010593017,0.019956855,-0.019321552,0.005013383,0.01092448,0.0003351319,-0.01171861,0.0013206743,0.02513597,-0.013072086,0.013610714,0.023354355,-0.00031117848,0.0007708249,0.002772553,0.012340104,0.0063806693,-0.0010142433,-0.007085029,0.020605972,-0.019487282,-0.012250333,0.0049270648,0.009812696,0.0029020307,-0.0133828325,0.027041884,-0.005003025,0.007520075,-0.013403549,0.016586978,0.01575832,0.0057350066,-0.00688477,0.0036633606,0.045769565,0.02810533,0.027083319,0.0031109217,-0.0061942213,-0.008403977,-0.0059249075,-0.03618475,-0.025660787,-0.025633166,-0.029085908,0.011739327,-0.003387141,-0.012188183,-0.00080621557,-0.004989214,-0.0058109667,-0.012063885,0.013534754,0.0005770397,0.0014035401,0.0017634886,-0.017526124,-0.014984906,0.022332342,0.0046888255,0.0046750144,-0.035991397,-0.027691001,0.02143463,-0.018700058,-0.012367726,0.024970239,-0.00610445,0.013154952,-0.0133828325,0.0071609896,0.0076581845,0.015095393,-0.0035425145,-0.0023288752,0.023906793,-0.00865948,-0.011594311,-0.007602941,-0.028892554,0.036295235,-0.008721629,-0.0034682807,-0.01957015,-0.009826507,-0.019956855,8.383692e-05,-0.010558489,-0.015178259,0.003238673,-0.0024238257,0.023672007,-0.01462582,0.021351764,0.03449981,0.028160574,-0.00059344026,-0.043504566,-0.019556338,0.010807087,0.05778511,0.019459661,0.0044678496,0.007851538,-0.014308168,-0.00047949972,-0.020384995,-0.03378164,0.004809671,0.009633154,-0.009978428,-0.0064877043,0.011559784,-0.012975409,0.030687982,0.0053068665,-0.019376796,-0.0047682384,0.0077479556,-0.002239104,-0.0016426425,-0.013486415,0.013431171,0.022622373,0.018244294,0.007506264,0.03190335,0.037400115,-0.0012628408,-0.028119141,-0.014239113,0.033118714,-0.018382404,0.029831702,-0.0026499804,0.03433408,0.010358229,0.008155379,0.026599934,-0.0019404417,0.022359965,0.016586978,-0.008024176,-0.00082865835,-0.001593441,0.010641355,-0.014211491,0.017912831,-0.026102738,0.019915422,-0.0003215367,-0.018465271,-0.016683655,-0.01802332,-0.026006062,0.018106185,0.0029279261,-0.015482101,-0.0038636196,-0.009432894,-0.026627555,0.011331903,0.021462252,-0.025218837,-0.015371613,0.006387575,-0.029168775,-0.016877009,-0.010917574,0.0018178693,-0.008977132,-0.029831702,-0.016863197,0.003321539,0.014888229,0.013990516,0.012291766,0.0012809677,0.025702221,-0.04413987,-0.022884782,-0.020274509,0.0013940451,-0.019045332,-0.023602953,-0.0017600359,-0.0069400137,0.0056901206,-0.020661216,0.020661216,-0.014805363,-0.011552879,0.013886933,-0.007091935,0.013244723,0.016062161,-0.003684077,0.012050074,-0.00036620657,-0.012961598,0.010668976,-0.028050086,-0.02839536,-0.0114009585,0.018506704,0.0027017717,-0.011470013,0.0007000437,-0.007278383,-0.0008558487,0.017829966,-0.027373347,-0.011235227,-0.009059998,0.012257239,-0.013748824,-0.0010107906,0.0007052228,0.0031195534,-0.016062161,-0.0114009585,0.024348745,0.0066637946,0.0006810536,-0.018258106,0.020826947,-0.0035390619,-0.03947176,-0.026475634,-0.016117405,-0.029721214,0.021931825,-0.0067846403,0.0020975415,-0.042372067,-0.0067259436,-0.02285716,0.0015865355,-0.0052826973,-0.01603454,-0.015136826,0.005068627,0.002420373,-0.021241276,-0.00041864513,-0.029003043,-0.021324143,0.029721214,0.0025809256,-0.006370311,0.005672857,0.0010142433,0.004816577,-0.022166612,-0.010026766,-0.04643249,-0.0221528,0.0131963845,0.014377222,0.0402728,0.027525268,0.023243867,0.026296092,0.009999145,-0.00019108776,0.004333193,0.016435057,-0.008321111,-0.007872255,0.008859739,0.009170486,0.011753138,-0.026171794,-0.00930169,0.020909812,0.0012429876,-0.016020728,-0.021172222,0.001848944,-0.041819625,-0.00036858034,0.009039282,-0.017691856,-0.007292194,-0.03690292,0.0043884367,0.0477031,-0.014135531,0.017760912,-0.0056901206,-0.01127666,0.0009693577,0.021310331,0.011656461,-0.01603454,-0.0036184748,-0.0020215812,-0.016863197,0.008735441,0.009943901,0.025205025,0.0100405775,0.024514478,-0.014363412,0.016075972,0.027911976,0.0065671178,0.020716459,0.015951674,-0.019072954,0.0042675906,-0.01574451,-0.010448001,-0.014667253,0.0023823928,-0.010399663,-0.008894267,0.025343135,-0.020523105,-0.009377651,0.0064359135,-0.009778169,0.024721641,-0.014708686,0.027124751,0.0064048385,-0.00033556347,-0.0070366906,0.022815727,-0.018271917,-0.005127324,0.030770848,0.015288747,-0.028505849,-0.030411763,0.012277955,0.017388014,0.021268899,-0.038864076,0.020122588,0.02753908,0.010254648,-0.02085457,-0.008079419,-0.037400115,-0.0060837334,-0.00489599,-0.0044540386,0.013886933,0.0018109638,-0.0095779095,0.0008226161,-0.05695645,0.028947799,-0.012747528,-0.009495044,-0.005548558,0.0066327197,-0.032980602,0.0006927066,-0.0023962038,0.0043608146,0.023823928,0.016255515,0.034997005,0.01086233,0.00536211,-0.014791552,0.009950806,0.026047494,-0.0070435964,-0.022815727,0.0011661641,0.010855425,0.005444976,0.004416059,-0.02836774,0.0005701342,-0.024321124,-0.012229617,0.019183442,-0.007851538,-0.0041847248,-0.024252068,0.0034803653,-0.0102270255,0.0065153264,0.00801727,-0.004526546,-0.010558489,0.0026983188,0.011877437,0.0047682384,0.020481672,0.016421247,-0.014598198,-0.0058972854,0.030743226,-0.015592588,-0.014391034,0.020978868,0.009881751,-0.053890415,-0.008162285,-0.04361505,0.004826935,0.02300908,-0.01249893,-0.02099268,-0.019059142,-0.0031989666,0.030798469,-0.0015235229,0.0050720796,-0.012747528,-0.011518352,0.0038152812,-0.019528715,-0.007637468,0.020978868,-0.0255503,0.0023116115,0.010448001,-0.037400115,0.008431599,-0.034140725,0.0049132537,0.025812708,-0.020619782,-0.029085908,0.007920593,0.028837312,-0.03367115,-0.003349161,-0.021531306,-0.009633154,-0.026006062,0.022636184,-0.0029987076,0.021890393,0.03933365,0.0075615076,0.003753132,0.009280974,-0.012271049,-0.022318533,-0.016683655,0.0054656924,0.0051963786,0.003483818,0.011615029,0.02825725,0.012851111,-0.038090665,-0.019694448,-0.018271917,-0.048476513,-0.014294357,-0.0018834714,0.019280119,0.026793288,0.023022892,-0.004526546,0.0139697995,-0.0063426895,0.017208472,0.007271477,-0.017581368,0.016904632,-0.020315941,0.0094398,-0.012830393,-0.026572311,-0.025812708,0.0057867975,0.0128580155,0.02258094,0.039830845,0.0027932692,-0.0009676313,-0.011974113,0.0058316835,-0.0011083306,0.011041873,-0.0133828325,-0.045465723,0.0015744509,0.0006141567,0.010565395,0.001876566,-0.0078032,-0.014529143,-0.017774722,-0.028284872,-0.009198108,0.013403549,-0.012056979,-0.010800181,0.008521371,0.0011160993,0.0027949957,0.040935725,0.0023979302,0.00514804,-0.01462582,0.011511446,-0.006377217,-0.018064752,-0.009591721,-0.020675026,0.019238684,-0.021600362,0.026006062,-0.028947799,0.033312067,-0.009260258,-0.030826092,-0.03433408,0.014750119,0.014998716,0.0015571872,-0.010088916,0.0022011239,-0.02556411,-0.01589643,0.0031057426,-0.0040500676,-0.017001309,-0.009633154,-0.0044022477,-0.01805094,-0.01957015,0.01462582,0.004637034,-0.02343722,0.04458182,0.18318875,0.0066189086,0.013106613,0.008486843,-0.009709114,0.0063288785,0.011269754,-0.0080310805,0.01320329,0.0034147631,-0.036820054,0.014391034,-0.009943901,0.0013180848,0.0054518813,-0.016006917,-0.036405724,-0.013790256,-0.021324143,-0.0028882197,0.011608123,0.009198108,-0.02186277,-0.028754445,0.027000451,-0.012188183,-0.020951245,-0.0028951252,0.034720786,0.015647832,-0.006615456,-0.016214082,-0.002763921,-0.0016624959,0.0039499383,-0.007188611,0.009626248,0.008825212,0.007872255,-0.0026171794,0.0011782487,0.0035597782,0.004906348,0.0056901206,0.04527237,0.019321552,0.018078564,-0.009529571,0.012084601,-0.0052861497,-0.022111367,-0.023754874,0.025453623,0.03560469,-0.0075753187,-0.0016081152,0.022221856,0.009101431,0.011193793,0.020702649,-0.0017453617,0.04256542,-0.006843337,0.009177391,-0.0013923188,0.008362544,-0.0076719956,0.008459221,0.01930774,0.0052101896,0.00048338406,0.004208894,-0.0071609896,-0.0015053961,-0.03336731,-0.018769111,0.04049377,0.027345726,0.008100135,0.014584388,0.0005463966,-0.013817878,-0.019183442,0.020605972,-0.013866217,-0.036709566,0.007920593,0.026503257,-0.01916963,-0.004809671,0.0056797625,-0.020053532,-0.0048925374,0.022373777,-0.01845146,0.0019922329,0.002494607,0.013838595,-0.03477603,0.006384122,-0.012333198,0.045603834,0.004961592,0.0032990961,0.0011678904,-0.0060043205,-0.008763062,0.009343123,0.014971094,-0.01831335,0.008914983,-0.0544981,-0.011690988,0.0038429033,0.001821322,0.012733717,0.0033163598,-0.030770848,-0.0025757465,0.017443258,-0.009950806,-0.023451032,-0.0049028955,0.013797162,-0.04162627,-0.00023370756,0.004526546,0.0035062607,-0.01930774,-0.026475634,0.009508855,-0.028478226,-0.006466988,-0.007996554,0.009612437,0.019404417,-0.0222771,-0.0012723359,0.0073750596,0.0201364,-0.0131342355,-0.006574023,0.019031521,0.006860601,0.001254209,-0.0027293935,0.016283138,0.01412172,-0.0031489017,-0.034858897,-0.022000879,0.0037807538,0.031129932,-0.030190786,0.0300803,-0.004650845,-0.0056659514,-0.038007796,0.030190786,0.0021424273,-0.01759518,0.035135116,0.026088927,-0.005931813,0.0021078996,0.017263716,-0.17700143,0.0016573167,0.039223164,-0.011987925,0.005686668,-0.016780332,0.029555483,0.0043746256,-0.016283138,0.0016426425,0.008562803,0.008134663,-0.04499615,0.006750113,-0.007602941,-0.009481233,0.018216673,0.024196824,0.024473043,0.01716704,0.04800694,0.009294785,0.03378164,0.017498503,0.02383774,0.004492019,-0.016877009,0.048725113,-0.0018403122,-0.017760912,-0.0011920596,0.0023754872,0.03474841,-0.0061942213,-0.027801488,-0.015247314,-0.0067017744,-0.0076443735,-0.027318105,0.007602941,0.011380241,0.007989648,-0.0053172247,-0.0006508421,0.015261125,0.011104022,0.0059110965,-0.015661644,-0.0021631436,-0.00028959883,0.0050064777,-0.018824356,0.01716704,0.009881751,0.004723353,0.01051015,0.010109632,0.014542954,-0.0011204152,0.0029244735,-0.0050064777,-0.020661216,0.006349595,-0.011981019,-0.018921033,-0.026945207,-0.03267676,0.01632457,-0.0046888255,0.006560212,-0.017125607,0.018865788,-0.017415637,-0.033229202,0.01519207,0.0002246441,-0.031848103,0.018727679,0.03480365,-0.009122147,-0.004529999,0.048946086,-0.013886933,-0.012554174,0.0031799765,-0.004706089,-0.0153025575,0.0038670725,-0.008901172,-0.0064221025,0.0029469163,-0.016807955,0.0024687115,-0.019155819,0.010233931,0.013942177,0.013272345,-0.0034613751,0.014363412,0.0069331084,0.013845501,0.02287097,-0.03206908,0.010012955,0.018354783,0.015371613,-0.007837727,0.018106185,0.032262433,0.017899022,-0.028119141,-0.006183863,0.018700058,-0.00042727697,0.011497634,0.030991822,0.010275364,0.010931385,-0.004074237,-0.0118360035,0.014584388,-0.0057902504,0.0029072098,-0.016241703,-0.0078446325,-0.014556766,-0.09695303,-0.0073198155,0.017084174,-0.0045748847,-0.0144048445,0.012713,0.023644386,0.0055174837,-0.009343123,0.031295665,-0.03789731,-0.027925787,-0.0018834714,-0.014943473,0.049940478,0.015426856,-0.021144599,-0.006774282,0.033339687,0.034168348,-0.0067432076,-0.024583532,-0.0028088067,-0.0063219727,0.02628228,0.007167895,-0.03336731,0.005952529,0.01072422,0.04198536,0.008935699,-0.042703528,0.037565846,-0.007851538,-0.00901166,-0.017926643,-0.01591024,-0.02073027,0.00096504175,-0.038366884,0.0006158831,0.014266735,0.025633166,-0.004816577,0.0041605555,-0.01127666,-0.016780332,0.018865788,0.024031093,-0.008921889,-0.038118284,-0.010254648,0.0024997862,0.0051963786,0.017388014,-0.010254648,0.0024428158,-4.885092e-05,-0.043891273,0.0074648308,0.011559784,-0.010641355,-0.041653894,0.05024432,0.0092050135,0.020454051,-0.051045354,0.009729831,0.03353304,-0.02456972,-0.026157983,0.021890393,-0.028782068,0.013161858,-0.020923624,-0.010275364,-0.015841186,0.0037047935,0.023892984,-0.015164448,-0.004312476,-0.031323288,0.03361591,0.0028830406,0.009405272,0.011242132,-0.0065533067,0.020965056,0.008928794,-0.020661216,0.036129504,0.029804079,0.02113079,-0.006698322,0.021517497,0.015703076,0.0091428645,0.016227894,-0.030273652,0.004288307,-0.031682372,0.01574451,-0.06391718,0.023754874,0.0018851978,0.018382404,0.00923954,-0.01589643,0.005013383,0.013251629,-0.013817878,-0.010185593,-0.0075615076,0.016946064,-0.036930542,0.007865349,0.0022270193,-0.014984906,0.015371613,0.003753132,0.014750119,0.005769534,-0.014515333,-0.01127666,0.021821337,-0.0027621945,-0.022346154,0.0022235666,-0.021697039,0.015841186,-0.009550287,-0.010855425,0.032455787,-0.009177391,-0.014598198,0.026558502,-0.011380241,-0.029306885,0.0047578802,0.00902547,0.029804079,0.017788533,-0.027207617,-0.02824344,-0.002368582,0.003998277,-0.009073809,-0.00013249902,0.0005602076,0.00012268029,0.013168762,-0.0011644376,0.024845941,0.021089356,-0.025881764,-0.007520075,0.01419768,-0.014391034,0.0057246485,-0.0005312909,0.025315514,0.0033836884,0.0068398844,0.015205882,-0.007478642,-0.008176096,-0.018299539,-0.00589038,0.005161851,-0.005327583,0.009101431,-0.021517497,-0.029555483,0.008238246,-0.0088114,0.012312482,0.027028074,-0.009294785,-0.0037462264,0.0064186496,-0.0019335363,0.024058715,0.0034182158,-0.0062114852,-0.0029262,0.015551155,0.0020699196,0.00575227,-0.0042814016,0.015343991,-0.0087423455,0.004108764,-0.020467862,0.013175668,0.012830393,0.020550728,-0.011373336,0.030190786,0.005486409,-0.0076305624,-0.0012447139,0.03565993,0.0063944804,0.0049788556,0.00645663,-0.01930774,-0.032290056,0.0015606399,-0.007713428,-0.030743226,0.0042675906,-0.011083306,-0.017125607,-0.010482528,-0.001876566,0.01178076,-0.02371344,0.0017902474,0.010579205,-0.017443258,-0.013244723,0.016131217,0.025881764,0.020896003,-0.01291326,-0.022953836,0.023892984,0.004637034,0.015924051,-0.014349601,0.008652574,-0.011221415,-0.0056694043,-0.012809677,0.0007233497,-0.036709566,-0.026599934,-0.0006072512,-0.019956855,0.008887361,0.004088048,0.08374974,0.009343123,-0.0038290923,0.00014889955,-0.0146810645,0.015661644,0.020260697,0.019059142,0.010157971,-0.032842495,0.04226158,-0.010012955,-0.0070263324,-0.03394737,0.0051791146,0.0031419962,-0.029748835,0.003145449,0.00010784428,0.01562021,0.01127666,-0.014080287,0.016366003,0.018092375,-0.021241276,0.0071402728,0.00010196382,-0.009826507,-0.023230057,-0.0060699224,-0.006860601,-0.013735012,-0.008134663,-0.024624964,0.013714296,-0.008611142,-0.009571005,0.006073375,0.018769111,0.02671042,-0.016062161,0.012733717,-0.008963321,-0.020550728,-0.007706523,-0.0007893834,-0.0009995692,-0.010696598,-0.013589998]','plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image','{"mem_type": "recipe", "custom_id": "b6a6d3dd-48b4-4b3e-b0a4-a485f22ede4e"}','b6a6d3dd-48b4-4b3e-b0a4-a485f22ede4e','32acc96c-f5f4-4f74-bc95-4e0865ee1c0e'), + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.014580516,-0.017555559,-0.01720473,-0.013254376,0.0046028965,0.014917313,-0.01716263,0.0010945912,-0.006627188,-0.0288523,-0.0011437075,0.017218763,0.011647573,-0.006083401,-0.0065956134,-0.0019611428,-0.00012103652,-0.014110403,0.00075735536,-0.024221338,-0.022607518,0.0075218063,0.010426682,-0.016671468,-0.0082796,0.008630431,0.008770763,-0.01921148,-0.003345169,-0.009549607,0.024123106,-0.019983305,0.010237234,-0.023547743,-0.006244783,-0.010153035,0.0040345513,-0.0037398532,0.027996274,-0.003541634,0.00440994,-0.008391866,0.012012436,0.015492675,-0.008230484,0.03149055,0.014833114,-0.005841328,-0.01712053,0.03996661,0.008419933,0.021849724,-0.031911545,-0.0046695545,0.009437341,0.0069499523,0.0071429093,-0.010181101,-0.004546764,-0.03421299,0.0100056855,0.0016892488,-0.034970786,-0.0009437341,-0.01082663,-0.032079943,-0.016713567,0.004129275,0.02523173,0.009668889,0.037103835,0.031237949,-0.0055571552,-0.0012165048,0.03923689,0.009865355,-0.0053677065,-0.0025786043,0.006781554,-0.0055817133,0.033651665,-0.036009245,-0.021821657,0.0023856475,0.016152238,-0.0030960792,0.012791281,0.02523173,-0.012187852,0.0030434546,0.019492144,0.02388454,0.022635585,0.0059641185,0.008419933,-0.0015278668,0.006739454,0.0086093815,0.040163074,-0.04389591,-0.016503068,-0.004732704,-0.01811689,0.00018879067,-0.011058178,-0.010223201,0.00022803983,0.007760371,0.013598191,-0.02597549,-0.040078875,0.036710907,-0.008244517,-0.029610096,-0.011345859,-0.01331051,0.040780537,-0.012959679,-0.004652013,-0.017597659,0.016264504,0.02208829,-0.0060798926,-0.013556091,0.022832049,0.015015546,-0.013219293,-0.023463544,-0.010777513,-0.020628834,-0.0081392685,0.009781155,0.0134999575,-0.024066973,-0.017667826,0.037973896,-0.018509818,0.01724683,-0.0124755325,-0.029217165,0.0046660462,0.020362202,0.024052938,-0.018397553,-0.01952021,0.01194227,-0.0008512025,0.023028513,-0.0036977537,-0.007879654,0.017836224,-0.008532198,0.0023470563,-0.025610628,-0.016306603,0.015141845,-0.020446401,0.008412916,-0.017345062,-0.009851322,-0.024431836,-0.0056413542,0.0057115206,0.016699534,0.02148486,0.05054766,-0.016320636,-0.0028592686,-0.012096636,-0.0058869356,0.0012682523,0.039938543,-0.0036486373,-0.011142377,0.015127812,0.017345062,-0.016025938,0.0166013,-0.024782667,-0.016278537,-0.018243188,0.024052938,0.011023094,-0.0017278403,-0.010096902,-0.02932943,0.021737458,-0.015843507,-0.005623813,-0.009795188,0.012279067,-0.0004161727,0.0023733685,0.020670934,-0.63317895,-0.018958881,-0.02554046,-0.0204885,0.014734881,0.0013331559,0.019421978,-0.008897062,-0.02972236,0.006869261,0.008742697,0.023393378,-0.02096563,-0.029273298,0.011815972,-0.02353371,-0.041818995,-0.015015546,0.029750427,0.016741633,-0.005083534,0.011479174,0.012721114,0.006806112,0.0052378993,0.008146285,0.0247967,-0.016713567,0.011163427,0.0012147507,-0.0069499523,0.015492675,0.007718271,0.00082050485,0.043783646,-0.012629898,-0.014236702,0.012363267,0.029890759,0.038703624,-0.02440377,-0.011514257,0.035391785,0.011780888,-0.02641052,0.037665166,0.009809222,-0.016460968,-0.0009796943,-0.040415674,-0.0022137407,-0.015169911,-0.030031092,0.0028627769,0.024670402,0.0014156011,0.0019278136,-0.014299852,0.014622616,0.0127772475,-0.0039363187,0.015604941,-0.016952131,-0.018201089,0.004013501,0.02850147,-0.011423041,0.014334935,0.008286617,-0.016278537,0.008763746,0.0031223914,-0.0008112955,-0.012601832,0.008440983,0.025526427,0.0009533819,-0.04785328,-0.010335467,0.0020313088,0.017583625,-0.009682923,-0.0021348037,-0.0019786842,0.0115844235,-0.006542989,-0.026326321,-0.0016655679,0.010784529,0.018874682,-0.0006069368,0.022004088,7.0330556e-05,-0.0017383652,-0.0014208636,0.015773341,-0.018088821,0.01486118,0.014026204,-0.022256687,-0.008798829,0.002945222,-0.014398084,-0.011731772,0.021961989,0.023786308,-0.048246212,0.005097567,0.034044594,-0.04493437,-0.014201619,0.004585355,-0.031995744,-0.013177194,0.02545626,-0.024586203,0.012798297,0.0086093815,0.008539215,0.007374457,0.027336713,-0.008749713,0.041398,-0.017527493,0.010195134,0.013071945,-0.001127043,-0.009928503,-0.027603345,-0.0055466304,0.008784796,0.015927706,0.0067920787,-0.020727066,0.017401194,0.008539215,0.007998936,0.0012621128,-0.013787639,-0.0017541526,-0.00061395345,0.004550272,0.0036205708,-0.02392664,-0.008349767,-0.01538041,-0.013738522,0.0027364779,-0.0018243187,0.0022242656,-0.024431836,-0.02161116,-0.018355453,0.02932943,0.03126602,-0.007360424,-0.0066622715,-0.021260329,-0.006992052,-0.01585754,0.0020558669,0.013050895,-0.013317526,1.4581393e-05,-0.001964651,0.015534775,0.0051396666,0.02100773,0.009346126,-0.028768102,0.018692251,-0.0054940055,-0.030087225,0.034830455,0.0072621917,0.04563603,-0.04389591,-0.01322631,-2.6778234e-05,-0.0045292224,0.006578072,0.0060693678,-0.017611692,-0.0207411,-0.006350032,-0.0028241856,0.00091479055,0.02187779,0.008925129,0.010777513,-0.012510615,0.007872637,0.01916938,0.004687096,-0.0045783385,0.03289387,-0.015661076,0.00018966774,0.0023645977,0.031658947,0.037047703,0.012019453,-0.0010428438,0.022242654,0.029217165,-0.031518616,-0.00087883044,-0.027898042,0.018018655,0.026747318,0.02531593,-0.024291504,0.0014094615,-0.010665247,-0.014454217,-0.00075867097,-0.0008187507,-0.008469049,-0.012756197,-0.010272317,0.0018225645,-0.010510881,0.014124436,0.0016296078,0.010047786,-0.024810733,0.009275959,0.018130923,0.0114160245,-0.015310244,0.0015594416,0.014299852,-0.017709926,0.015099745,0.015745275,0.009289992,0.003175016,-0.003771428,0.01082663,0.0043152156,0.006869261,0.0030750295,0.020516567,-0.03620571,-0.011865088,-0.0057009957,0.011191493,-0.0029487305,-0.014636649,0.021849724,-0.0019488635,0.008076119,-0.0098022055,0.023730176,0.01929568,-0.0023295148,-0.0016085579,0.002980305,0.03741257,0.0289365,0.030648554,0.0037398532,0.004308199,-0.008153302,-0.007276225,-0.018846616,-0.025049297,-0.01799059,-0.021695359,-0.005164225,-0.00086392014,-0.016587267,0.012215918,-0.0046274546,-0.0018085312,-0.016236437,0.024852833,0.009023361,0.0017962522,0.0061430424,-0.0071709757,-0.02140066,0.019744743,-0.00018484383,0.0022084783,-0.03432526,-0.0410612,0.029301364,-0.015745275,-0.01799059,0.018229155,-0.0047397204,0.017359095,-0.01768186,0.0038380858,0.00513265,0.017723959,-0.0064552813,-0.003427614,0.023435477,-0.01198437,-0.014973446,0.002287415,-0.03250094,0.04271712,-0.011710722,0.0004714285,-0.010075852,-0.0056413542,-0.01916938,-0.006911361,-0.01028635,-0.0076761716,0.008770763,-0.010819613,0.015506709,-0.0053431485,0.00459588,0.037047703,0.016783733,0.009556624,-0.042941652,-0.022775916,0.0084059,0.071737826,0.0166855,0.008623415,0.008202418,-0.0018909764,-0.0029189098,-0.030339822,-0.03516725,-0.0021944449,0.009381209,-0.0017541526,-0.018158989,0.029189099,-0.0071779923,0.027729644,0.0016664449,-0.021021763,-0.0075849555,0.012131719,-0.0019593886,-0.0076761716,-0.02231282,0.0116686225,0.013450841,0.018664185,0.0025821126,0.026228089,0.053803366,-0.00921281,-0.024431836,-0.009395242,0.039405286,-0.011401991,0.022340886,0.006960477,0.03376393,0.011542324,0.008321701,0.02554046,-0.0035925044,0.023716142,0.021190163,-0.004918644,-0.0062167165,0.015212011,0.016025938,-0.011928237,0.013528025,-0.017752025,0.017752025,0.011401991,-0.01608207,-0.017260863,-0.020235904,-0.028613737,0.016573234,0.0016743386,-0.0022593485,-0.007374457,-0.005083534,-0.024965098,0.013338576,0.022523317,-0.033174533,-0.012622882,5.5091354e-05,-0.019744743,-0.017134564,-0.008876013,-0.0020470961,-0.015717208,-0.020460434,-0.01274918,0.009816239,0.004925661,0.009184743,0.017092463,0.00093584036,0.028824234,-0.0414822,-0.020460434,-0.0060658595,-0.0053220987,-0.0051957997,-0.025035264,0.0075218063,-0.0090794945,0.0032136075,-0.023028513,0.015661076,-0.00960574,-0.0062272414,0.016545167,-0.012229951,0.0064482647,0.015997872,0.005350165,0.010174084,-0.0010559999,-0.010019719,0.019786842,-0.01829932,-0.028178707,0.005897461,0.016503068,-0.007213075,-0.0059886766,0.000402578,-0.012461499,0.0071920254,0.01594174,-0.025512394,-0.00699556,0.0017445047,0.015408476,-0.0013454349,-0.0015927705,0.0034346306,0.008419933,-0.020418335,-0.015478642,0.020755133,0.006921886,-0.0002539136,-0.010966961,0.00964784,-0.017752025,-0.029076833,-0.022060221,-0.02117613,-0.024024872,0.032529008,0.011023094,-0.0012033487,-0.025077365,-0.0049607437,-0.012657965,0.004195933,-0.010496848,-0.007921753,-0.017064396,0.0016655679,0.009661873,-0.020699,-0.006314949,-0.029638162,-0.024558134,0.023126747,0.0068832943,-0.0030311756,-0.0009139135,-0.00581677,-0.00080077065,-0.02187779,-0.007914737,-0.040387608,-0.03331487,0.015450575,0.017331028,0.052063245,0.015885606,0.016025938,0.023645977,0.0014866443,-0.0059290356,-0.008826897,0.0013849034,-0.01361924,-0.008539215,0.014040237,0.01328946,0.020586733,-0.007921753,-0.012510615,0.026522785,0.0067640124,-0.020769166,-0.023912607,0.004550272,-0.02767351,0.0047853286,0.0072621917,-0.0100548025,-0.011745805,-0.030227557,0.010623148,0.034100726,-0.026480686,0.015983839,-0.0023505646,-0.009619773,-0.0061465506,0.033399068,-0.0012472024,-0.014734881,-0.00643774,-0.006199175,-0.017176664,0.009184743,0.018046722,0.016138205,-0.0004806378,0.025259797,-0.010559998,0.013422775,0.02932943,0.0129456455,0.026915716,0.01834142,-0.024066973,0.0049081193,-0.015492675,-0.014180569,-0.014819081,0.0059781517,-0.0045923716,-0.018481752,0.025764992,-0.015310244,-0.025161564,0.0051361583,-0.019828942,0.03185541,-0.012159785,0.03541985,0.01399112,0.007704238,-0.01163354,0.030704686,-0.019281646,-0.0021751493,0.02140066,0.015689142,-0.03250094,-0.03463399,0.008440983,0.02601759,0.02618599,-0.039770145,0.014706815,0.016952131,-0.00053677073,-0.015590908,0.007276225,-0.03979821,-0.0045643053,-0.015871573,0.0022575944,0.012868463,-0.00080822577,-0.00013802989,-0.0090303775,-0.06079191,0.031378284,-0.012959679,-0.010854696,-0.0034907635,-0.011065194,-0.03842296,0.016867932,-0.005073009,0.008076119,0.026087757,0.014496316,0.03536372,0.010468782,0.007893687,-0.011303759,0.014370018,0.02610179,0.0017313486,-0.013528025,0.0043467903,0.015661076,-0.001759415,-0.0019506176,-0.01589964,-0.008370817,-0.022523317,-0.015057646,0.013598191,-0.025652727,-0.011542324,-0.02562466,-0.0010998537,-0.007851588,0.013198243,0.0027119198,-0.0042731157,-0.016545167,-0.002115508,0.018762417,0.0045011556,0.02165326,0.018004622,-0.017737992,0.0032381655,0.03912462,-0.0064552813,-0.010103919,0.024670402,0.00743059,-0.045664098,-0.006655255,-0.03126602,-0.004929169,0.018874682,-0.013373659,-0.018369487,-0.01834142,-0.0008463786,0.037440635,-0.006528956,0.010763479,-0.011815972,-0.005897461,0.00078366767,-0.024277471,-0.010440716,0.015703175,-0.018790483,-0.0009551361,0.012293101,-0.030452088,0.022172488,-0.027098149,0.002531242,0.020278003,-0.019913139,-0.0335394,0.004318724,0.02322498,-0.036738973,-0.0023751226,-0.028389204,-0.0031223914,-0.029834626,0.0207411,-0.0016146974,0.0017690628,0.03890009,0.0027926108,-0.0015796144,0.005644863,-0.0062974077,-0.028333072,-0.021540992,0.0038345775,0.0019032555,0.00012772424,0.003106604,0.025961457,0.010770496,-0.032641273,-0.025049297,-0.013275427,-0.044429176,-0.014278802,-0.005764145,0.01244045,0.018986948,0.017359095,-0.0031908033,0.023365311,-0.005855361,0.009598724,0.0067499788,-0.0112827085,0.012412383,-0.020755133,0.010202151,-0.01811689,-0.026915716,-0.025343996,0.010559998,0.0069990684,0.022607518,0.03707577,-0.0074937395,-0.0048204116,-0.0072832415,-0.002701395,-0.00581677,0.0108617125,-0.01196332,-0.043250386,0.008707614,0.011430058,0.013878855,-0.012629898,-0.0067254207,-0.017976556,-0.014580516,-0.019393912,-0.011479174,0.0059290356,-0.013626257,-0.00062097,0.019309713,0.0045888633,-0.009437341,0.04367138,0.0015068171,0.0041082255,-0.013513991,0.018481752,-0.0030522253,-0.02144276,0.001564704,-0.01486118,0.0041327835,-0.020348169,0.02022187,-0.035475984,0.035868913,-0.015015546,-0.017934456,-0.03193961,0.018551918,0.006946444,-0.002089196,-0.012980728,0.005150192,-0.02357581,-0.019281646,-0.0004670431,-0.0037433614,-0.009956569,0.00065517594,0.0011305513,-0.023814375,-0.008055069,0.028557604,0.005258949,-0.019099213,0.052343912,0.20084345,0.0063675735,0.015590908,0.005637846,-0.009732039,0.0036977537,0.012370284,-0.011240609,0.011640556,0.0011130099,-0.02958203,0.020095572,-0.01842562,0.0011787906,-0.0003501727,-0.015703175,-0.035756648,-0.018846616,-0.033904262,-0.012657965,0.008118219,0.0124755325,-0.025091399,-0.03210801,0.022467185,-0.0047818203,-0.012152769,-0.006935919,0.040724404,0.027463011,-0.006037793,-0.025077365,-0.0129456455,0.0019488635,-0.008237501,-0.0054554143,0.011310776,0.021639226,0.015576875,-0.008623415,-0.0032732487,-0.005023893,-0.0027522652,0.0010182856,0.042127725,0.018187055,0.018902749,-0.02096563,0.01637677,0.0017374881,-0.020909498,-0.014236702,0.018636119,0.0289365,-0.013675373,-0.0020102588,0.01829932,0.012166802,0.009086511,0.023309179,-0.019421978,0.04052794,-0.009739055,0.014292835,-0.011577407,-0.00792877,-0.019969271,0.006844703,0.014215652,-0.004448531,0.004652013,0.0041327835,-0.012026469,0.006655255,-0.0336236,-0.015927706,0.04336265,0.01699423,0.0030890626,0.020684967,0.0012191361,-0.009184743,-0.023547743,0.008019986,-0.011780888,-0.03676704,0.0025066838,0.026663119,-0.020853365,-0.010124968,0.004873036,-0.009879388,-0.004799362,0.009009328,-0.01956231,0.002945222,0.011900171,0.022116356,-0.03171508,0.001299827,-0.0028241856,0.0495092,0.0056062713,0.0057887034,-0.009142644,-0.0017760794,-0.0010033753,0.01856595,0.013563108,-0.027084116,0.019365845,-0.05032313,-0.016039971,-0.00641669,0.0049081193,0.00046748164,-0.007339374,-0.026691185,-0.013100011,0.010735413,-0.00039183383,-0.029273298,-0.0018909764,0.0053887563,-0.03929302,-0.002045342,-0.0006222856,-0.0014173553,-0.013577141,-0.03266934,0.0166855,-0.0291049,-0.009795188,-0.012258017,0.015001512,0.015871573,-0.024866866,-0.0058939527,0.0038872021,0.018088821,-0.017457327,-0.007185009,0.015520742,0.010468782,-0.01204752,0.0022453154,0.017667826,0.008791813,-0.0064447564,-0.030816952,-0.022677684,0.004192425,0.03115375,-0.030311756,0.03494272,-0.008918112,-0.008686564,-0.025526427,0.031827345,-0.008581315,-0.017976556,0.02958203,0.031237949,-0.00050826574,0.0037749363,0.0118019385,-0.18130921,0.00014471759,0.022691717,-0.010082869,0.015043613,-0.03149055,0.032697406,0.006223733,-0.0207411,-0.0005139667,0.0026014082,0.009297009,-0.034184925,0.010714363,-0.014482283,0.0005920265,0.02005347,0.021470826,0.016278537,0.0097530885,0.03685124,0.0018699266,0.026284222,0.00037122253,0.020095572,-0.0034065642,-0.016138205,0.042997785,0.0031241456,-0.010959945,0.009072478,0.0025733416,0.029273298,-0.007998936,-0.032472875,-0.023674043,-0.020207837,-0.01877645,-0.015913673,0.0072411415,0.014061287,0.008153302,-0.0025821126,0.005374723,0.005679946,0.00664473,0.021035796,-0.010188118,-0.004883561,-0.016825832,-0.006627188,-0.015787374,0.015829474,0.0029504846,0.005209833,0.009549607,0.007669155,0.0122229345,0.004318724,-0.0013542058,-0.010174084,-0.02361791,0.0081392685,-0.013794656,-0.016460968,-0.016839866,-0.033146467,0.017316995,0.0041819,0.0120054195,-0.028010307,0.015127812,-0.017387161,-0.021035796,0.0061009424,-0.00097092346,-0.030059159,0.014482283,0.036710907,-0.00044116937,-0.009619773,0.049845997,-0.005315082,-0.012580782,0.0058272947,-0.0036486373,-0.004736212,0.005220358,-0.017092463,-0.010363533,0.016489035,-0.0065815803,0.0034328764,-0.019857006,0.010096902,0.020446401,0.005037926,0.0014050761,0.018509818,0.0053431485,0.014496316,0.013100011,-0.022832049,0.012643931,0.014257751,0.025119465,-0.01285443,0.016503068,0.034886587,0.014762948,-0.02431957,0.0012507107,0.004950219,-0.0007349899,0.010447732,0.016011905,0.015226044,0.0075498726,-0.0031715077,-0.0073955073,0.0090794945,-0.0009498736,-0.006160584,-0.01742926,-0.0043397737,-0.016489035,-0.09739055,-0.00035916272,0.0035328632,-0.0030083717,-0.0065359725,0.013745539,0.01968861,0.015969805,-0.012580782,0.029666228,-0.028445337,-0.037833564,-0.005855361,-0.0032978067,0.05133352,0.022158455,-0.01829932,0.00040301654,0.031658947,0.034914654,-0.0023768768,-0.013654323,0.00067008624,-0.012671998,0.014664715,0.0058272947,-0.029441696,0.013598191,0.0014822589,0.03415686,-5.3419426e-05,-0.03598118,0.034886587,-0.014398084,-0.004052093,-0.01637677,-0.024347637,-0.016432902,0.005809753,-0.045860562,0.00440994,0.00745164,0.01712053,-0.017653793,-0.002022538,0.0022470695,-0.0011349368,0.014594549,0.019436011,-0.016194338,-0.049228538,-0.019702643,0.0011849301,-0.006567547,0.030564355,-0.0059044776,-0.0019716676,0.0015883851,-0.03699157,0.005785195,0.011907187,-0.018916782,-0.04240839,0.046870954,0.013275427,0.004076651,-0.03803003,0.0075709224,0.041426066,-0.01163354,-0.008651481,0.008539215,-0.036317978,0.013022828,-0.013710456,-0.00055299664,-0.0004771295,-0.007634072,0.015043613,-0.02253735,-0.006314949,-0.031995744,0.03140635,0.003080292,0.019450044,0.016180305,-0.0028592686,0.022495251,0.01720473,-0.011619506,0.027168315,0.012187852,0.019997338,-0.012405367,0.010510881,0.0033749894,-0.00019690362,0.020474467,-0.030873084,0.0056729293,-0.017878324,0.01070033,-0.068033054,0.02932943,-0.005992185,0.015492675,0.006528956,-0.018916782,0.0012401859,0.014215652,-0.009739055,-0.006718404,-0.007984903,0.016475001,-0.03224834,0.012538683,-0.007072743,-0.0051010754,0.019281646,0.010124968,0.010538948,0.010447732,-0.017022297,-0.01032845,0.017527493,-0.014201619,-0.01563301,-0.0006806112,-0.022551384,0.0037398532,-0.0003635481,-0.015534775,0.033006135,0.0029118932,-0.019000981,0.016503068,-0.008097169,-0.034016527,-0.0072200918,0.015141845,0.019464077,0.01490328,-0.019534243,-0.025329962,0.003750378,0.008455016,-0.005750112,0.011268675,0.002241807,0.0081392685,0.020867398,0.011268675,0.014622616,0.015955772,-0.028487436,-0.009837288,0.0037398532,-0.0075358395,0.008876013,0.0010200398,0.031911545,-0.004585355,0.011303759,0.014791015,-0.0021997073,-0.006385115,-0.020362202,-0.006834178,0.00581677,-0.010735413,0.022860115,-0.02314078,-0.03076082,0.0061395336,-0.0035714547,0.019337779,0.02779981,0.0070902845,-0.009121594,0.011696689,0.008504132,0.020249937,0.011844038,-0.013766589,-0.0205727,0.018916782,0.0036872285,0.007963853,0.0018874682,0.0074726897,-0.0072692083,0.013359626,-0.021344528,0.019141315,0.010651214,0.018313354,-0.019534243,0.02545626,0.0020295547,-0.002322498,0.004231016,0.03923689,0.0006722789,-0.004150325,0.010567015,-0.014047254,-0.022214588,-0.0033960394,-0.003531109,-0.0335394,0.01274918,-0.0037188034,-0.018453686,-0.013913938,0.003417089,0.0097530885,-0.017752025,0.0035381257,0.018158989,-0.015408476,-0.020081537,0.009402258,0.030367889,0.015296211,-0.021316461,-0.021119997,0.0168118,0.005336132,0.017373128,-0.011380942,0.008483082,-0.0013147373,0.002955747,-0.015141845,0.0024049433,-0.034577858,-0.025512394,-4.955481e-05,-0.006714896,0.014187586,-0.010398616,0.08925128,0.016910031,-0.007086776,-0.0027662986,-0.016980197,0.010602098,0.020249937,0.009325076,0.01799059,-0.026003556,0.050575726,-0.0034434015,-0.003950352,-0.023000447,0.0055045304,-0.005967627,-0.032192208,0.00794982,0.0031539663,0.0050765174,0.01589964,-0.008167335,0.021765525,0.026677152,-0.012180835,0.0053641982,0.004076651,-0.009065461,-0.03202381,-0.0104757985,-0.01455245,-0.008883029,-0.0043748566,-0.028543571,0.014636649,-0.015534775,0.00011138868,0.009346126,0.02636842,0.033707798,-0.011458124,0.011500224,-0.014082337,-0.028880367,-0.0043397737,-0.0027803318,-0.0047853286,-0.020783199,-0.024165206]','plot a bar chart of humanitarian organizations in Wadi Fira by sector using Humanitarian Data Exchange data as an image','{"mem_type": "memory", "custom_id": "1f62a50e-59fa-4ab4-b5bf-5b5aa48a57dd"}','1f62a50e-59fa-4ab4-b5bf-5b5aa48a57dd','bdf871c9-6b7d-4698-b44d-9e040edef4e5'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.01794487,-0.015543894,-0.00884059,-0.013434365,-0.00018866055,0.004448052,-0.024537148,-0.021261826,-0.006980874,-0.020276455,-0.0013826432,0.028006766,0.029783212,0.00034197434,-0.0031573535,0.027756954,0.003927609,-0.016362725,0.023884859,-0.013080465,-0.04155216,0.0053085173,0.027854104,-0.007300079,-0.0043925378,-0.0013687648,0.025494762,-0.03727759,0.008993253,0.0014286158,0.014433616,-0.00674494,-0.0016532736,-0.018652674,-0.01558553,-0.014051958,-0.008778137,0.006085712,0.025272707,-0.005485468,-0.0008027832,-0.010346404,0.0047152126,-0.007154355,-0.014086654,0.0018735944,0.033336103,-0.020096034,-0.01850001,0.029033775,0.0014650468,0.03189274,-0.012976376,0.0071023107,0.020817716,0.018569402,0.011567711,-0.008125848,-0.0037957635,-0.01530796,0.004659699,0.002376689,-0.025758453,0.003490437,-0.034834977,-0.0357232,-0.015155297,0.0036257522,0.0078066434,0.01958253,0.038332354,0.046243086,-0.0051627937,0.004354372,0.009541453,0.009451243,-0.02213617,-0.008965496,0.005402197,-0.0022621918,0.02989424,-0.016376603,-0.0040074103,-0.004711743,0.023454627,-0.009707995,0.004430704,0.04310655,-0.01385072,-0.0063216463,0.028450878,0.009520635,0.026549527,0.004208648,-0.011373412,-0.0043092673,-0.013351095,0.024675932,0.012782077,-0.032392364,0.0039414875,-0.0073486534,-0.018749822,-0.009680238,-0.022483133,0.008035638,0.0049580857,-0.009347154,0.004430704,-0.023579532,-0.011408108,0.030088538,0.01385072,-0.038693193,0.011588529,-0.0295334,0.0036292218,-0.018611038,-0.00074163114,-0.010311709,0.001703583,0.020900987,0.0040594544,-0.00071083824,0.011824463,0.008937739,-0.017625665,-0.041718703,0.010943179,-0.0074666208,-0.0027808999,0.0077858255,0.011671799,0.0138715375,-0.023135422,0.04740888,-0.03427984,0.017750572,-0.015696557,-0.03600077,0.012185303,0.011595467,0.025564155,-0.014752821,-0.012435116,0.009256944,0.014544643,0.011859159,0.0031764365,-0.024453877,0.0070329183,-0.0123032695,0.009957807,0.003336039,-0.0013444774,0.02925583,-0.0055756783,0.016543144,0.0028607012,0.0100272,-0.009312458,0.006942708,0.017361974,0.025133923,0.0014303506,0.0315319,-0.006595746,-0.016723564,-0.01622394,0.018444495,0.011623224,0.008361782,-0.026743826,0.004399477,0.008708744,0.017556274,-0.014891606,0.010603157,-0.02560579,-0.018652674,-0.01484997,0.019624166,0.029228073,0.0034557409,-0.009132038,-0.005176672,0.018416738,-0.016237818,0.0062453146,-0.02588336,0.012372662,0.013052708,-0.0015986271,0.0025813968,-0.6395202,-0.032031525,-0.008250754,-0.0125461435,0.028312093,0.016543144,0.0120881535,0.014197682,-0.044771966,0.0169595,0.006699835,0.02789574,-0.013732753,-0.02370444,0.020290334,-0.016265575,-0.014405859,-0.022080656,-9.086065e-05,0.02625808,0.008007881,0.01056846,-0.00683515,0.016001884,0.009145916,-0.010693367,0.030366108,-0.0013401405,0.012053457,0.0357232,-0.011512197,0.0120257,0.006578398,-0.0024096505,0.038554408,-0.025133923,-0.020512389,0.009923111,0.04566019,0.044438884,-0.01777833,-0.01111666,0.018624917,0.012365723,-0.023190934,0.013142917,-0.011519136,0.00071213936,0.0011068085,-0.03600077,0.0046770466,-0.00033698676,-0.02459266,-0.0034939067,-0.0025536397,-0.01120687,-0.0016029641,0.0038929128,0.01530796,0.007799704,0.0062869503,0.0022344347,-0.018277954,-0.0012828917,-0.006280011,0.0043092673,-0.030366108,0.011054207,0.01648763,-0.013587029,-0.0066304426,0.015918612,-0.012108971,-0.006869846,0.013621725,0.008271572,0.023440748,-0.028645176,0.004513975,0.023135422,0.01558553,-0.020526268,-0.026646676,-0.0006553243,0.020817716,0.00428498,-0.03688899,-0.012726563,0.0004879152,0.016876228,-0.0066755475,0.013205371,0.0028607012,-0.04466094,-0.0169595,0.034529652,-0.021830844,0.016112912,0.01038804,-0.03125433,-0.01594637,0.0098467795,0.006633912,0.0053085173,0.0375274,0.02768756,-0.020706687,0.014391981,0.03563993,-0.033419374,-0.0023367885,-0.00847975,-0.031365357,-0.011671799,0.00993005,-0.037666187,0.03663918,-0.0027722258,-0.005769977,0.008993253,0.03536236,0.003426249,0.030865733,-0.011963247,-0.0031816408,0.012192242,0.01038804,-0.00025436646,-0.012095093,0.018291833,0.016279453,0.014405859,0.020970378,-0.025203314,0.016737442,0.019665802,0.0068039233,-0.0077788862,-0.025564155,-0.03511255,-0.015016512,0.010700306,0.006332055,-0.0028554967,0.017084405,-0.030754706,-0.007633162,0.013982565,0.006491658,0.0036986142,-0.021386733,-0.011213809,-0.0066547296,0.014974876,0.010852969,-0.0017764451,0.020706687,-0.013330277,0.020151548,-0.016501509,-0.013378852,-0.0031469446,-0.01730646,0.022497011,0.02305215,0.0037124925,-0.0056346618,0.04349515,0.010915422,-0.02414855,-0.0018978817,-0.010179863,-0.017930992,0.019082906,-0.005076053,0.014752821,-0.020803837,0.0014589749,0.0048227706,-0.03106003,0.03563993,0.014267074,-0.014433616,-0.04199627,0.027354479,0.008153605,0.0007620151,0.020151548,0.013066586,0.002250048,-0.029006017,0.031504143,-0.005950397,0.010013321,-0.006314707,0.0015422457,-0.012629414,0.0066235033,0.019610288,0.0115815895,0.028922746,0.002560579,-0.0001575424,0.0050448263,0.021941872,-0.03164293,0.013469062,-0.027104666,-0.011650981,0.031504143,0.019346597,-0.05212756,-0.0015092844,-0.01430871,-0.0033516523,0.0072029294,-0.008181362,-0.010408858,-0.028561905,-0.015266324,-0.008521385,-0.010901543,0.018819215,-0.008222997,0.00025588443,-0.005423015,-0.007279261,-0.0067761666,-0.005384849,-0.02342687,0.0001168828,-0.0036118736,-0.018569402,-0.00100272,0.01951314,0.009735752,0.024717567,-0.0044792783,0.02288561,0.016348846,-0.009902294,0.0040872116,0.00875038,-0.0037749459,-0.017334217,0.0026265017,0.017320339,0.008812833,-0.027396115,0.025675183,0.0011779357,0.019429868,0.006786575,0.0040490455,0.015807586,-0.019110663,0.006443083,0.013552333,0.03408554,0.032864235,0.027132422,-0.009666359,-0.0021216723,-0.008125848,-0.021442248,-0.015183054,-0.011699556,0.0037298407,-0.023621168,0.0021129982,-0.0044445824,-0.01139423,0.009707995,-0.012455933,0.012587778,-0.019207813,0.021830844,-0.009138977,0.018722065,0.005822021,-0.023648925,-0.016751321,0.030393865,0.0059816237,-0.0067900447,-0.038693193,-0.021470005,-0.0124975685,0.011345655,0.009888415,0.01448913,-0.008896104,0.025480883,-0.019402111,0.0005226114,0.018749822,0.022802338,-0.011283202,0.0070190397,0.0071682334,-0.008493628,0.0012820243,0.005086462,-0.03636161,0.044522155,-0.008701805,-0.0012134993,-0.018444495,0.0048956326,0.0025675183,0.007980124,-0.0231493,-0.024606539,0.007133537,-0.0019568652,-0.005658949,-0.012830652,0.020109912,0.037610672,0.00892386,0.004000471,-0.040247582,-0.03927609,0.01904127,0.045632433,0.025897238,0.016723564,-0.009735752,-0.008160545,0.003108779,-0.0147667,-0.009860658,0.013642543,0.02342687,0.003938018,0.0030098946,-0.0046458202,0.008993253,0.013982565,-0.019152299,-0.021109164,-0.03264218,0.022566404,0.005495877,-0.016626416,-0.0012525326,0.0016836327,0.01850001,0.013996444,-0.003297873,0.019221691,0.027104666,0.023635047,-0.015654922,-0.023565654,0.010589278,-0.015779829,0.008729562,-0.012462872,0.010034139,0.01065867,-0.006335525,0.008861408,0.0011692616,0.016543144,0.0111235995,0.0010053222,-0.005221777,0.0003840435,0.012108971,-0.015460623,0.015654922,-0.01831959,0.010353344,0.0018302242,-0.014190743,-0.004607654,0.016695809,-0.006626973,0.02196963,-0.0025519049,-0.0058254907,8.382654e-06,-0.018902486,-0.034335352,-0.011241566,0.04901878,-0.0218586,-0.026299713,-0.01576595,-0.04185749,-0.017597908,-0.010290891,0.010512946,-0.027354479,-0.021664303,-0.012095093,0.007827461,0.00014344708,0.011158296,0.011165235,-0.0039970013,0.00073512556,-0.0065922765,-0.024870232,0.0008465871,-0.0014988756,-0.011012572,-0.014600158,-0.015099783,-0.0051627937,-0.0036361609,-0.01339967,0.026716068,-0.0034678844,-0.03808254,0.011033389,-0.011602406,-0.016876228,-0.021733696,0.009819022,0.018888608,0.005176672,-0.0028502923,-0.0042676316,-0.016834592,-0.021816965,-0.021261826,0.021553274,0.006699835,-0.0028294744,-0.010346404,-0.019624166,-0.016848471,0.0042676316,-0.013982565,-0.03142087,-0.017264826,0.00094807346,-0.014239318,0.015058148,0.00956921,-0.010436615,0.008812833,0.0024374076,0.03425208,0.0008431175,0.0043092673,-0.017167676,0.005724872,0.000234633,-0.022441497,-0.02277458,-0.024814717,0.0048158313,0.011762009,-0.009270823,-0.022205563,-0.015849221,0.012761259,-0.020248698,0.006335525,-0.0051142187,-0.034224324,-0.027382236,0.016112912,0.0048609367,-0.0155577725,-0.008042578,-0.023024393,-0.010887666,-0.0016333233,0.009950868,0.014114412,-0.005395258,-0.0071890512,-0.012032639,-0.02223332,-0.015238568,-0.028367607,-0.011234627,0.025369857,0.005405667,0.025827846,0.021456126,0.019527018,0.039581418,-0.013469062,0.010429676,-0.0036153432,0.015793707,0.0071404763,-0.027743075,0.003899852,0.009319398,0.0074666208,-0.0023853632,-0.011415048,0.00091337727,2.9112274e-05,-0.009069584,-0.020193184,-0.0062487843,-0.024356727,-0.0004497494,0.012435116,-0.020734444,-0.008916922,-0.048685696,-0.024356727,0.060288105,0.0053362744,0.026577283,0.0030133643,0.008771198,0.008077274,0.0506842,0.018958,-0.011512197,0.020970378,0.0037506584,-0.029089287,0.0044654,0.026091537,-0.0044758087,0.029838726,-0.009194491,0.00015526546,0.008812833,0.01384378,0.0004057286,0.020984257,0.001062571,-2.481591e-05,-0.020623418,-0.04510505,-0.0054542413,-0.001977683,0.020609539,0.012317148,-0.008667109,0.009645541,-0.023301963,-0.012289392,0.0019169647,-0.009832901,0.0423016,-0.012185303,0.040330853,0.03297526,-0.004847058,-0.021900237,-0.012643293,-0.027645927,0.016459873,0.018097535,0.05656867,-0.025203314,-0.029394614,-0.011824463,0.0011102782,0.025286585,-0.03675021,0.0075776484,0.0065506413,0.019846221,-0.022261078,-0.015363474,-0.023801588,0.012095093,-0.011775888,-0.0004905174,0.014641793,-0.009805144,0.0016298536,0.015016512,-0.041246835,0.024814717,-0.01102645,-0.008847529,-0.0051905503,-0.0016957764,-0.02616093,0.018305711,0.00022075452,0.002680281,-0.0015066821,0.04080272,0.010707245,-0.015155297,0.009458182,-0.023898738,-0.012927801,0.025716817,-0.01702889,0.008410357,0.019346597,-0.01157465,0.010332526,0.0074319243,-0.015890855,-0.02033197,-0.0022899488,-0.0054160757,0.017195433,-0.0076886765,-0.0073486534,-0.009347154,0.007591527,0.0012698807,-0.028131673,0.0060753035,0.012865348,-0.009208369,-0.007945428,0.01604352,0.003906791,0.027576534,0.016099034,-0.009361032,-0.0007364267,0.020456875,-0.030643677,0.022122292,0.037305348,-0.00041071617,-0.026355227,-0.0038200507,-0.032225825,-0.0075013167,0.009145916,-0.030865733,-0.038804222,-0.028325971,-0.0060440768,0.018874729,0.018541645,0.015807586,-0.012948619,0.01859716,-0.011623224,-0.020637296,-0.0084242355,-0.00046362786,-0.03178171,-0.001180538,-0.006040607,-0.028589662,0.03491825,-0.019901736,-0.0007797969,0.010526825,-0.005232186,-0.009666359,-0.00075334107,0.014433616,0.0010807863,0.008903043,-0.021206314,-0.024190186,-0.015266324,0.027507141,-0.008084212,-0.012414298,0.026688311,0.022344347,-0.0013410079,0.015044269,-0.022163928,-0.022899488,-0.014086654,-0.00032766216,0.00077719474,0.0021025892,0.021331219,0.013406609,0.024620418,-0.025938874,-0.029200315,-0.015321839,-0.039387118,-0.024648175,-0.011949369,0.0006900205,0.015030391,0.01221306,-0.002862436,0.028312093,-0.007959306,0.012095093,-0.013233128,-9.819293e-06,0.0037229015,-0.021664303,0.035528902,-0.010852969,-0.0056624184,-0.015113661,0.009409607,0.016293332,0.019124541,0.04307879,-0.002616093,-0.009520635,-0.013253946,0.007411107,-0.0043925378,0.01768118,-0.012247756,-0.039054036,0.0050621745,0.006845559,0.00012609898,-0.018028142,-0.011331776,-0.020748323,-0.019457625,-0.025744574,-0.028367607,0.0084242355,-0.0019256386,-0.025314342,0.0068733157,-0.008216059,0.0030046902,0.04091375,0.029283587,-0.010526825,-0.015530015,0.011963247,-0.008257694,-0.020748323,-0.005086462,-0.015974127,0.028478635,-0.018611038,0.02432897,-0.012379602,0.013351095,-0.014600158,-0.001249063,-0.03161517,0.018527767,-0.0070953714,-0.016112912,0.0033290996,-0.0046874555,0.00033264974,0.00033807103,0.00094807346,0.017514639,-0.033336103,0.0059920326,-0.0049893125,0.0010018526,-0.002067893,0.0042953887,-0.015099783,-0.007508256,0.023399113,0.19374354,0.015599408,0.014433616,0.035390116,-0.0014503008,-0.0035320723,-0.0048088925,0.01648763,0.011470561,0.017903235,-0.010159045,0.022968879,-0.023066029,-0.00044758088,-0.00401088,-0.011227688,-0.039498147,-0.011879976,-0.018846972,0.010950118,0.048519157,0.01794487,-0.006325116,-0.016348846,0.008875286,-0.0025640486,-0.0056554796,0.00892386,0.025716817,0.009853719,-0.020040521,-0.018153047,-0.0057214024,0.015460623,-0.013281702,0.0019013514,-0.001977683,0.00023268134,0.023371356,0.0075429524,0.004354372,0.0019360476,0.012511447,-0.0071023107,0.019207813,0.0097010555,0.009728813,-0.026188686,0.0041947695,0.003209398,-0.018985756,-0.0028468226,0.008084212,0.02450939,-0.017903235,0.009742691,0.025813967,0.011054207,0.00455561,0.005686706,-0.0156688,0.024717567,0.005249534,-0.004135786,-0.006259193,0.0065402323,-0.03763843,-0.016876228,0.0077303117,0.0097496305,0.012310209,-0.009125099,-0.011130539,-0.013496819,-0.007827461,-0.012324087,0.0112693235,0.016376603,0.038665436,0.021525517,0.0013063117,-0.0016333233,-0.001557859,-0.005166263,-0.010922361,-0.024731446,0.017653422,0.00084051525,-0.02113692,-0.006963526,0.007681737,-0.01740361,-0.017473003,0.024106914,-0.023787709,-0.008937739,0.021539396,0.028395364,-0.011671799,0.0069288295,0.0055895564,0.020248698,-0.002022788,-0.0015465828,-0.0056797666,-0.01795875,-0.01275432,0.0076956153,0.013191492,-0.015738193,0.00793155,-0.030726949,0.0065922765,-0.011421987,-0.016876228,0.0050517656,0.0039241393,-0.028242702,-0.0120881535,0.010235377,-0.0048539974,-0.015002633,-0.0011562506,-0.00012360519,-0.028839475,-0.025147801,-0.008334026,-0.0014780578,-0.013496819,-0.021400612,0.009534514,-0.020165427,0.026369106,-0.010103531,0.018805336,0.021247948,-0.0047880746,-0.010283952,-0.00011319633,0.0048262402,-0.0131012825,-0.0010096593,0.009936989,0.0114775,0.020012764,-0.010540703,-0.0005724872,0.016196182,-0.01430871,-0.017792208,-0.00029405023,0.002341993,0.015543894,-0.021567153,0.028589662,-0.0060024415,-0.027451627,-0.02468981,0.033308346,-0.0028051871,0.0020991196,0.0142809525,0.020484632,-0.007119659,-0.013656422,0.0017937932,-0.17897683,0.009465122,0.020970378,-0.011234627,0.0019638045,0.0065020663,0.032031525,-0.0023836284,-0.012622475,-0.009874537,-0.019110663,0.006668608,-0.041885242,-0.00026564274,0.016348846,0.025730696,-0.011817523,0.01904127,0.013836842,0.0211508,0.025855603,0.013503758,0.018846972,-0.0020904455,0.010818273,0.018139169,-0.019485382,0.054070547,-0.0037298407,-0.0070919017,-0.0071682334,-0.005714463,0.027770832,-0.0074596815,-0.0010296095,-0.0211508,-0.020276455,-0.006134287,-0.019735195,0.029588914,0.015418988,-0.0013921848,0.017667301,0.0041704825,-0.00034089008,0.028672934,0.017001135,-0.015543894,0.0051246276,-0.02187248,0.017875478,-0.019901736,0.03891525,0.0034314534,0.020109912,0.023093786,0.004801953,0.02040136,-0.0008465871,-0.014079715,-0.011873038,-0.027104666,0.010728063,-0.021095285,-0.03619507,-0.0220529,-0.02023482,0.02067893,-0.014877727,0.014447494,-0.0074804993,-0.008646291,-0.0018753292,-0.018971877,0.010277012,0.008396478,-0.041246835,0.010360283,0.02770144,0.0070919017,-0.0030914308,0.050822984,-0.007882975,-0.00030510966,0.005849778,-0.011671799,0.012650232,-0.0011415047,0.005221777,-0.00084745453,0.0011944164,-0.0074666208,-0.003490437,-0.014391981,0.010034139,0.020789959,0.0024616949,-0.012775138,0.022760702,-0.00273406,0.012442054,0.005707524,-0.018624917,0.010547643,0.02013767,0.035667688,-0.014391981,0.022385983,0.049546164,0.009950868,-0.03633385,0.018153047,0.02351014,0.019374354,-0.0005573076,0.017653422,0.000974963,6.3266336e-05,-0.004042106,0.003681266,-0.009138977,-0.005731811,0.0011467092,-0.006005911,-0.02377383,-0.013115161,-0.09775999,-0.012809834,0.012719624,0.010485189,0.005329335,0.007265383,0.0015647983,-0.010214559,-0.0025623138,0.018971877,-0.036028527,-0.020179305,-0.0023454626,-0.005138506,0.032919746,0.01704277,-0.0029960163,0.0024478163,0.009819022,0.027673684,-0.008805893,-0.027298965,0.003591056,-0.017903235,0.013087404,0.0061099995,-0.03106003,0.027867982,0.028922746,0.018971877,0.0015882183,-0.02779859,0.036028527,-0.027743075,-0.018999634,-0.027257329,-0.0007897721,0.0005490672,-0.0041392557,-0.05196102,0.024009766,0.025106166,0.02441224,-0.019998886,0.024273457,-0.019332718,-0.009395729,0.024356727,-0.00875038,0.011317898,-0.012129789,-0.005433424,-0.014822214,-0.011560772,0.0133163985,-0.01239348,-0.017001135,0.00076635217,-0.03061592,-0.03308629,-0.01804202,0.001439892,-0.0421073,0.020734444,0.008160545,0.0118938545,-0.029228073,-0.0011579854,0.024023645,0.008701805,-0.047880746,0.0522941,-0.027479384,0.011081964,-0.022927243,0.012164485,-0.01093624,0.0019759482,0.02686873,-0.0006115204,-0.012150607,-0.04255141,0.0026195624,-0.010506007,0.0013939196,0.011081964,-0.011179113,0.0074041677,0.0024287335,-0.04466094,0.028645176,0.03516806,0.010943179,-0.00565201,0.0048609367,0.021567153,0.012879226,0.026854852,-0.011609346,0.013406609,-0.030005267,-0.014405859,-0.06855968,0.018361226,0.026840974,0.015044269,-0.012469811,0.00037038187,0.006023259,-0.0087850755,-0.01384378,-0.015460623,-0.02251089,0.013094343,-0.034751706,0.00031139833,-0.008868347,-0.03511255,0.025022894,0.00016936079,0.032364607,0.00011297948,0.0024859821,0.0030463256,0.025841724,0.026896488,-0.020429118,0.0123032695,0.0050899317,0.032198068,0.0053987275,-0.015682679,0.03983123,-0.0047707264,-0.0050968705,0.028894989,0.01977683,-0.014752821,-0.026341349,0.005367501,0.038665436,-2.9274912e-05,-0.020429118,-0.015807586,-0.0017660361,-0.009222248,-0.015932491,-0.0010244051,0.006207149,-0.0097010555,0.025744574,-0.012157545,0.019998886,0.014780578,-0.008306269,-0.006807393,0.0021945343,-0.03033835,0.002140755,0.009590028,0.015002633,-0.006491658,0.008000942,0.018430617,0.019166177,-0.024731446,-0.01330252,-0.022261078,0.0010035874,-0.0037992331,0.010346404,-0.011033389,-0.01784772,0.00022964542,0.0049164505,0.009055707,0.016390482,-0.013378852,0.0100618955,-0.005620783,-0.005395258,-0.019207813,0.0014919363,-0.007182112,-0.02679934,0.03838787,0.008611595,0.023482382,-0.009888415,0.0009983829,-0.015474502,0.007053736,-0.025869481,-0.002732325,-0.0022274957,0.010339465,-0.0042155874,0.014038079,0.005860187,-0.03261442,0.013240067,0.019638045,0.01084603,0.0034696192,-0.018916365,-0.041579917,-0.012698807,0.00019841886,-0.010748881,-0.01886085,0.008757319,0.0066928957,-0.0027271206,-0.024190186,-0.016459873,0.008694866,-0.03264218,0.01348988,-0.007223747,-0.0180559,-0.018444495,0.039220575,0.021803087,0.013226189,-0.0013921848,0.0025414962,0.01931884,6.834201e-06,0.022039022,-0.0015205606,0.012400419,-0.009215308,-0.009187552,-0.0032510331,0.009201431,-0.026133172,-0.009825962,-0.00058723305,-0.025744574,0.015530015,-0.0057630376,0.10214559,-0.010762759,-0.0033742047,0.00017077032,-0.010880726,0.024717567,-0.008334026,0.0049684946,-0.009069584,-0.021234069,0.021886358,-0.0038235204,-0.0074319243,-0.028756205,-0.0044029467,0.015044269,-0.009819022,0.0030220384,-0.013149857,0.0031851104,-0.008847529,-0.00035129895,0.020345848,0.00033893844,-0.0076401015,-0.0057005845,0.013732753,-0.016085155,-0.021775331,-0.033447128,-0.012747381,0.014211561,0.0034887022,-0.025800088,-0.0036569787,-0.011498318,-0.022219442,0.008646291,-9.313759e-05,0.016196182,-0.014433616,0.027548777,-0.019749073,0.003408901,-0.0335304,0.0031486794,0.008896104,-0.009909232,-0.0077233724]','plot a line chart of commodity prices monthly relative change for a country from 2008-01-01 using HDX data as an image','{"mem_type": "recipe", "custom_id": "dd0ddd95-a60d-4670-b250-d479314f6094"}','dd0ddd95-a60d-4670-b250-d479314f6094','153080c7-db16-432f-95e7-c71c669ee16a'), + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.019067306,-0.010851766,-0.012734785,-0.0086200405,0.0012265773,0.0072461343,-0.018035132,-0.024702413,-0.010000921,-0.0146178035,0.008117902,0.037465096,0.034033816,-0.0013599579,0.00091797154,0.02725495,0.0028140666,-0.018913874,0.019388117,-0.01838384,-0.04435555,0.006067504,0.029402986,-0.004916771,-0.0031557996,-0.00097638,0.020266859,-0.030965194,0.0079853935,-0.0014079051,0.02261017,0.00032495146,-0.010238042,-0.019834463,-0.02294493,-0.010272913,-0.015984735,0.004184486,0.027561812,-0.0073995655,0.00065339,-0.02181512,0.004282124,0.0014026745,-0.0153989075,-0.0041775117,0.030016711,-0.023293637,-0.025455622,0.025832225,0.007566945,0.027854726,-0.016710047,0.0059942757,0.023991052,0.0146178035,0.010307783,0.00039665436,-0.005948944,-0.019429961,-0.0056385943,-0.0028628856,-0.023056516,0.008138824,-0.028538192,-0.030156193,-0.007755247,0.00024540265,0.017588789,0.024911638,0.033726953,0.043211788,0.0016737942,-0.005091124,0.0058268965,0.011214422,-0.03116047,-0.008808343,0.005795513,-0.0033998946,0.036098164,-0.023474965,-0.00522712,-0.00048819,0.028524244,-0.0048923614,0.010551878,0.043686032,-0.014506217,-0.009219817,0.029988814,0.0087176785,0.028008157,0.0043379166,-0.0031261595,0.0024775642,-0.0038741364,0.029151917,0.024646621,-0.024270017,-0.00032124645,-0.0046691885,-0.017309822,-0.006506875,-0.019332323,0.0023154153,0.01180025,-0.011284163,0.0022352128,-0.025204552,-0.014952562,0.02814764,0.011277189,-0.03651661,0.0062871897,-0.03328061,0.003323179,-0.016333442,-0.0067614317,-0.011570103,-0.0020695769,0.023474965,0.0034574312,0.00045680636,0.012769655,0.011772353,-0.019304428,-0.044160273,0.019750772,-0.0027635042,-0.008020264,0.0031104677,0.01789565,0.011339956,-0.018272255,0.049906965,-0.03570761,0.02523245,-0.016403183,-0.026250673,0.0069113756,0.014059872,0.025971707,-0.0031191853,-0.012539509,0.0061825775,0.0077482727,0.017616685,0.004986512,-0.027798934,0.010747154,-0.0120094735,0.012190802,0.0077482727,-0.0024043357,0.022414895,-0.00850148,0.008410816,0.0015648233,0.005174814,-0.0019632212,0.012853345,0.019262582,0.02001579,0.0076436605,0.038050923,-0.0034713796,-0.020490032,-0.017114546,0.0141296135,0.012588328,0.0054956246,-0.014854924,0.0028663727,-0.003999671,0.015775511,-0.018244358,0.012971906,-0.027436279,-0.021926705,-0.01838384,0.011730508,0.033169024,0.0013032929,-0.008452661,-0.0027931442,0.015371011,-0.019639187,0.0048121586,-0.021368774,0.013460096,0.012079216,-0.010440292,0.00062287814,-0.6355955,-0.026390156,-0.013313639,-0.007964471,0.024939535,0.022596223,0.016961114,0.01033568,-0.04937693,0.021591946,0.011932759,0.032555297,-0.018035132,-0.023991052,0.022903085,-0.021731429,-0.014868872,-0.019276531,-0.00034260476,0.028789261,0.006782354,0.0010539673,-0.0011463747,0.013474044,0.0073019275,-0.009687085,0.028649779,-0.0039961836,0.019053359,0.03969682,-0.009408118,0.008745575,0.008557273,0.0011690407,0.033057436,-0.028524244,-0.008250411,0.017560892,0.044048686,0.040003683,-0.020978222,-0.0119118355,0.0143248895,0.008208566,-0.016807685,0.027687347,-0.009038489,-0.0028070924,-0.0074553587,-0.04402079,0.0035603,-0.006663793,-0.026989933,-0.008431738,-0.004979538,-0.024060793,0.0034539443,-0.006137246,0.012427922,0.006981117,0.008382919,0.0008591272,-0.020113427,-0.0050667147,-0.0066603064,0.006391802,-0.032025263,0.0024043357,0.010328705,-0.009045463,-0.007364695,0.012930061,-0.02228936,-0.0059559178,0.012769655,0.003713731,0.01968103,-0.02570669,0.008564248,0.028050002,0.013850648,-0.022247516,-0.01984841,-0.00551306,0.020071583,-0.0027059675,-0.04694993,-0.012072241,-0.0052898875,0.010042766,-0.0038253174,0.011974603,-0.0014567241,-0.04572248,-0.018425684,0.03043516,-0.02326574,0.020280808,0.005865254,-0.027701296,-0.014882821,0.0070682936,0.008968747,0.00594197,0.038441475,0.022749653,-0.008117902,0.013209026,0.03849727,-0.029402986,-0.0083341,-0.005969866,-0.032276332,-0.007413514,0.001985887,-0.035484437,0.027645502,0.00571531,0.008857162,-0.004362326,0.03994789,0.0030250344,0.025762483,-0.013376406,0.00048644646,0.0061267843,0.011556155,0.0021985986,-0.011221396,0.015636029,0.016291598,0.011249293,0.025274293,-0.030546745,0.011305085,0.0118630165,0.004557602,-0.010837818,-0.029765641,-0.040561616,-0.0020852687,0.016361339,0.005614185,0.0004472169,0.009617343,-0.030853609,-0.008647937,0.0128882155,-0.0045227315,0.0030808276,-0.016012631,-0.011284163,-0.009812619,0.024688466,0.017560892,-0.0008347177,0.024814,-0.011974603,0.018439634,-0.014234225,-0.011904862,0.0032621552,-0.019346273,0.017477201,0.020978222,0.008313178,-0.005962892,0.0333364,0.008982696,-0.019053359,0.0007706428,-0.021717481,-0.02693414,0.019959997,-0.0051957364,0.0117165595,-0.024116585,-0.0060814526,0.006555694,-0.027059674,0.032025263,0.024144482,-0.008982696,-0.04482979,0.031439435,0.0074972035,-0.002365978,0.024521086,0.016612409,0.009777748,-0.028705573,0.03043516,-0.008843213,0.0071171126,-0.0044529904,-0.00074187445,-0.0053038355,0.0040240805,0.020852687,0.009638266,0.029040331,0.0006777995,-0.003570761,-0.00018089183,0.02237305,-0.030379366,0.0124976635,-0.02262412,-0.011033094,0.025106914,0.017309822,-0.046726756,0.0047459044,-0.006663793,-0.0061895517,0.010747154,-0.013425225,-0.018007237,-0.022875188,-0.013306664,5.8353962e-05,-0.0143248895,0.025776431,-0.0116677405,0.0063952887,-0.008382919,-0.005502599,-0.0024461807,-0.0026955062,-0.019764721,0.0032168233,0.0025403316,-0.020294756,0.008041186,0.025106914,0.0025403316,0.023544706,-0.006241858,0.019416014,0.014506217,-0.006555694,0.013153234,0.009080334,0.0045541152,-0.01855122,-0.00072836207,0.013390354,0.008257385,-0.021870911,0.01717034,0.0064720046,0.012553457,0.015482597,0.0054502925,0.016347392,-0.012169879,0.003853214,0.014589907,0.039641026,0.028789261,0.021591946,-0.008738601,0.0008059494,-0.0007540792,-0.013711165,-0.00809698,-0.018802289,8.744921e-05,-0.020238962,0.0017548687,-0.00042825597,-0.0089617735,0.001340779,-0.016696097,0.01407382,-0.01814672,0.023893414,-0.012867293,0.020685308,0.004282124,-0.016654253,-0.008564248,0.03043516,0.008257385,-0.0077412985,-0.03166261,-0.024046844,0.00537009,0.008138824,0.017128495,-0.00060892984,-0.009861438,0.034647543,-0.0120094735,-0.004247253,0.013676294,0.023335481,-0.0150083555,0.0069532203,-0.0021166524,-0.018230408,0.0007837193,0.0032360023,-0.030016711,0.040812682,-0.00028550398,0.0019545036,-0.01569182,-0.0059384825,0.0031244159,0.010761103,-0.024339758,-0.025134811,0.004874926,-0.0036335285,-0.006050069,-0.011842094,0.018690703,0.039668925,0.0042088954,0.012909139,-0.037046645,-0.043183893,0.018969668,0.047619447,0.028287124,0.017881703,-0.010182248,-0.0050667147,0.003514968,-0.0044076582,-0.008940851,0.018858083,0.018160667,0.009198895,-0.0054433183,-0.00341733,0.015580235,0.010614646,-0.01708665,-0.026752813,-0.02750602,0.017881703,0.009150076,-0.017742218,0.0025368445,-0.004784262,0.019806566,0.016472925,0.008020264,0.017532995,0.027966313,0.022875188,-0.009233765,-0.024465293,0.019764721,-0.021201394,0.0035428645,-0.010635568,0.010607671,0.0053875255,-0.014938614,0.007434436,0.00944299,0.013027699,0.006409237,0.0025769458,-0.0038183432,-0.00048426705,0.010698335,-0.017477201,0.012560431,-0.015859202,-0.0010339167,0.007378643,-0.015357062,-0.012874268,0.022484636,-0.007532074,0.005432857,-0.0029186788,-0.005565366,-0.007992367,-0.014659648,-0.03392223,-0.010028818,0.044383444,-0.023879465,-0.032332126,0.0006616718,-0.040505823,-0.02001579,-0.013711165,0.0062488317,-0.027073622,-0.01937417,-0.011088887,0.007420488,0.0043727877,0.0077831433,0.014262122,-0.0032063622,-0.0042681755,-0.006088427,-0.019457858,0.00012825885,-0.0015717974,-0.0069009145,-0.014248174,-0.012455819,0.003950852,-0.0030668792,-0.012518587,0.019820513,0.0057362323,-0.043100204,0.0120582925,-0.02082479,-0.015287321,-0.020922428,0.018174617,0.012295414,0.008871109,0.0029500625,-0.009575498,-0.010279886,-0.019234685,-0.019987894,0.024814,0.009875386,0.0033475885,-0.008689782,-0.022233568,-0.017784065,0.0054502925,-0.013111388,-0.035679713,-0.019555496,0.002181163,-0.019820513,0.01212106,0.00055705965,-0.017198237,0.011688664,0.004672676,0.029235607,-0.00054311135,0.0030651358,-0.0143248895,-0.0012762682,0.0007126702,-0.031746298,-0.027408382,-0.012853345,-0.005035331,0.0191231,-0.013125337,-0.016361339,-0.015649976,0.00010183338,-0.020615567,0.0075948415,-0.009359299,-0.03392223,-0.03205316,0.010203171,0.00047598526,-0.019262582,-0.01521758,-0.020685308,-0.01289519,-0.00087569084,0.019025462,0.01350194,-0.0074553587,-0.010014869,-0.006642871,-0.016891373,-0.019067306,-0.030016711,-0.008752549,0.031857885,0.0097638,0.025846174,0.028440554,0.010314757,0.038943615,-0.0120025,0.022094084,-0.00465524,0.01025199,0.006098888,-0.023781827,0.005816435,0.009164023,0.009345352,-0.0067684054,-0.02309836,0.0029099612,0.0064196982,-0.0054851635,-0.016737944,-0.0035428645,-0.022066187,-0.0016092835,0.015315218,-0.014785183,-0.01203737,-0.049767483,-0.02035055,0.057243764,0.014743338,0.023628395,-0.000604571,0.009519705,0.016068425,0.047145206,0.017714323,-0.011388775,0.013739062,-0.0010818639,-0.026292518,-0.0040938216,0.01757484,-0.011116784,0.026780708,-0.002828015,-0.0010836074,0.0089548,0.012386078,-0.0024705902,0.022484636,-0.00057580264,-0.0022247515,-0.032025263,-0.046894137,-0.0071171126,-0.010070662,0.020531876,0.016975064,-0.016542668,0.008696756,-0.017602736,-0.0054363445,0.0012719093,-0.0063848277,0.03685137,-0.0151059935,0.04427186,0.024144482,0.0057780775,-0.017240081,-0.013683268,-0.023628395,0.018969668,0.016012631,0.053198762,-0.017742218,-0.02505112,-0.0074065397,0.008899006,0.028496347,-0.035177577,0.011702612,0.010621619,0.0142272515,-0.024786104,-0.017100599,-0.023474965,0.01399013,-0.0120582925,0.0037834726,0.008201592,-0.016528718,-0.0014915948,0.007831963,-0.04865162,0.02302862,-0.011646818,-0.0044320677,0.003469636,0.0027146852,-0.029681953,0.025860121,-0.0035306597,-0.0015090301,-0.0011289393,0.032555297,0.012135008,-0.011528258,0.0038497269,-0.02823133,-0.017993288,0.026418053,-0.02035055,0.006897427,0.012560431,-0.01813277,0.0077412985,0.0030023684,-0.01594289,-0.02107586,-0.008536351,-0.01041937,0.017686427,-0.010614646,-0.014408579,-0.007385617,0.005328245,-0.0045018094,-0.026139088,0.0021759325,0.014603855,-0.0123512065,-0.0045052962,0.010238042,0.005764129,0.022917034,0.020880584,-0.008982696,0.0056246463,0.021368774,-0.025595104,0.035428647,0.031774193,-0.007085729,-0.028621882,-0.004693598,-0.02131298,-0.0026606354,-0.0012797553,-0.030630436,-0.04206803,-0.017965391,0.0016999473,0.018788341,0.012190802,0.017100599,-0.012281465,0.027924469,-0.009289558,-0.021368774,-0.012016448,-0.005112047,-0.02651569,-0.001246628,0.010677413,-0.029821435,0.03961313,-0.018760445,0.005216659,0.016989011,-0.0027234028,-0.0083759455,0.0073437723,0.0028855517,0.0027704781,-0.0006211346,-0.021912757,-0.023963155,-0.009303506,0.026557535,-0.008389894,-0.0054572667,0.024604775,0.01053793,-0.021201394,0.010321732,-0.02262412,-0.020852687,-0.01863491,0.005844332,-0.0033597932,0.0022578787,0.011005198,0.015468649,0.028203433,-0.030714124,-0.033420093,-0.02408869,-0.029626159,-0.01742141,-0.02058767,0.007131061,0.010489111,0.010286861,-0.007232186,0.027366536,-0.0097638,0.018425684,-0.015677873,-0.0020957298,-0.0017906112,-0.020141324,0.03149523,-0.008947825,-0.009101257,-0.016166063,0.010663465,0.0142272515,0.03361537,0.043072306,-0.007183367,0.002444437,-0.015119942,0.010391473,-0.009373248,0.009610369,-0.0056455685,-0.038580958,0.005216659,0.0031488254,0.00043610187,-0.0081806695,-0.007082242,-0.020559773,-0.015119942,-0.025901966,-0.034508057,0.006890453,-0.005952431,-0.00944299,-0.00030708022,-0.009143101,0.0005522649,0.035456542,0.030518848,-0.010984275,-0.010272913,0.014659648,-0.014352786,-0.022582274,-0.010307783,-0.011137706,0.026306467,-0.015733667,0.02505112,-0.0013311895,0.01619396,-0.023893414,-0.0022648529,-0.028845055,0.019946048,-0.013271794,-0.010782025,0.0044076582,0.0041775117,0.0017278439,0.00453668,0.002219521,0.01659846,-0.040171064,-0.0013983157,-0.009742877,0.0015630798,-0.0007405668,0.007992367,-0.017811961,-0.0029622673,0.025581155,0.19918151,0.019583393,0.0077901175,0.033503782,-0.010028818,0.0017792782,-0.0049551283,0.022428844,0.012316336,0.022038292,9.742006e-05,0.019959997,-0.024590828,-0.00018263537,-0.005893151,-0.00049211294,-0.029905124,-0.016751891,-0.0179096,0.012413974,0.04865162,0.012114086,-0.00732285,-0.022596223,0.014840976,-0.0013024212,-0.0025682282,0.007894729,0.023419172,0.008027239,-0.022679912,-0.017784065,9.9000135e-05,0.010000921,-0.010809922,0.0033894335,-0.0007488486,0.0023293637,0.017519047,0.0037764984,-0.005070202,0.0057397196,0.008396868,-0.0064720046,0.023991052,0.007762221,0.00944299,-0.027533917,0.006109349,0.005404961,-0.013160207,-0.00496559,0.010510033,0.028063951,-0.02595776,0.008899006,0.025985656,0.007378643,0.0062662675,0.0021776762,-0.012999802,0.022414895,0.0030093426,-0.0084735835,-0.0051992233,0.010963352,-0.041454304,-0.023070464,-0.0004934206,0.003713731,0.024437396,-0.011542207,-0.016961114,-0.00502487,-0.0012841141,-0.012379103,0.012413974,0.004449503,0.038218305,0.024632672,0.0033353837,-0.0019440423,-0.004923745,-0.0048156455,-0.010900585,-0.023209948,0.018927824,0.0006424929,-0.016542668,-0.0016537436,0.013139285,-0.016249754,-0.016975064,0.028328968,-0.018216461,-0.010551878,0.025483517,0.014464372,-0.010391473,0.012616225,0.0037939337,0.018174617,-6.848826e-05,0.0046587274,-0.0042263307,-0.025804328,-0.015468649,0.0062244222,0.014380682,-0.014220277,0.005607211,-0.037688266,0.0052619907,-0.010272913,-0.00626278,0.010928482,-0.004494835,-0.023474965,-0.00465524,0.01553839,-0.009624317,-0.024618724,-0.007124087,-0.0012570892,-0.027157312,-0.025092965,-0.011409698,-0.0083341,-0.0076436605,-0.025650898,0.0050457926,-0.015022304,0.01919284,-0.0072600828,0.024772156,0.019904204,-0.0082783075,0.0017923547,-0.005237581,0.009812619,-0.014896769,0.0073019275,0.011869991,0.0054886504,0.030658333,-0.015371011,-0.0075041777,0.0062174485,-0.020713205,-0.016263701,-0.008006316,0.010342654,0.023656292,-0.017811961,0.027854726,-0.006496414,-0.023544706,-0.018746495,0.026655173,-0.0049202577,0.004634318,0.019946048,0.021494308,-0.00088745967,-0.013139285,0.0075390483,-0.18010026,0.015859202,0.025818277,-0.0071554706,0.003713731,0.0064685172,0.039194684,0.00033541268,-0.013404302,-0.009979999,-0.023991052,0.0055479305,-0.036656093,0.009659188,0.012944009,0.0349823,-0.010210145,0.018662807,0.016542668,0.018049082,0.017686427,0.010621619,0.019025462,0.0016275906,0.013481018,0.019778669,-0.029430883,0.046029344,0.0013486248,-0.013864596,-0.014248174,-0.0053944993,0.032722678,-0.0065138494,-0.006095401,-0.019667083,-0.020029739,-0.012232646,-0.019318376,0.029877229,0.014492269,0.0074902293,0.016500821,8.1728234e-05,0.0014950818,0.029737744,0.009770774,-0.018035132,0.003537634,-0.020964274,0.025190603,-0.02383762,0.042123824,0.0013224719,0.02408869,0.019597342,0.005669978,0.025441673,0.001272781,-0.013453121,-0.007657609,-0.01944391,-0.0008220771,-0.032164745,-0.034368575,-0.023935258,-0.025190603,0.014025001,-0.014338838,0.028677676,0.0038845974,-0.0046203695,-0.00398921,-0.013508915,0.005649056,0.008689782,-0.03816251,0.01151431,0.029737744,-0.0004690111,-0.009003619,0.039641026,-0.012407,0.00066428713,-0.0022770576,-0.012957958,0.022652015,-0.0063743666,0.007573919,0.004704059,-0.010021843,-0.0079853935,0.006451082,-0.02132693,0.009129153,0.021870911,0.0046099084,-0.019262582,0.030518848,-0.0020451674,0.013216001,-0.0021550101,-0.012957958,0.005704849,0.010321732,0.02742233,-0.018676754,0.022986775,0.050994933,0.00070918316,-0.029430883,0.019764721,0.02035055,0.009226791,-0.0014654418,0.029821435,0.0060849395,-0.004927232,0.0016659483,0.0025629974,0.0048505166,-0.0066010263,-0.0043169945,-0.013732087,-0.022177774,-0.013906441,-0.09384406,-0.012086189,0.009666162,0.007420488,0.017184287,0.002346799,-0.0047738007,-0.010119481,0.0018603526,0.021494308,-0.02798026,-0.024507137,-0.0029500625,-0.000859999,0.033643264,0.024995327,0.0015482598,0.006506875,0.006088427,0.029598262,-0.010070662,-0.024925586,0.003657938,-0.02326574,0.0128882155,0.007559971,-0.039250474,0.03724192,0.026013553,0.017993288,0.00078720634,-0.036349233,0.042514376,-0.024590828,-0.01717034,-0.028063951,0.0009676623,-0.0052898875,-0.002925653,-0.049265344,0.021089807,0.023935258,0.022986775,-0.02700388,0.027882623,-0.018328046,-0.0009973025,0.02530219,-0.007141522,0.0013285743,-0.014673596,-0.0033859464,-0.020782946,-0.0060291463,0.019890256,-0.0039299293,-0.014059872,0.0050946116,-0.037297715,-0.036237646,-0.016333442,0.006737022,-0.049628,0.018202513,0.010182248,0.019778669,-0.030128296,0.0041914596,0.020127377,0.010544904,-0.0358192,0.045527205,-0.028845055,0.010398447,-0.027715243,0.0144225275,-0.0033057437,-0.0058373576,0.026487794,0.0010295578,-0.014296993,-0.03791144,0.0075251,-0.0073437723,0.006555694,0.009798671,-0.013557734,0.00626278,0.0017766629,-0.03752089,0.024423448,0.03944575,0.003019804,-0.007232186,0.002610073,0.01919284,0.013592605,0.0236005,-0.0125464825,0.014882821,-0.029319296,-0.027450226,-0.072363704,0.017784065,0.019109152,0.017700374,-0.014492269,-0.004644779,0.0045052962,-0.012762682,-0.0125953015,-0.014185406,-0.011012171,0.014136587,-0.024618724,0.0018272254,-0.00927561,-0.027729193,0.025371931,-0.0005047536,0.027519967,-0.003127903,0.0024200275,-0.003166261,0.022219619,0.030323572,-0.02376788,0.0130346725,0.0012039114,0.02669702,0.0029239093,-0.013620501,0.036098164,0.0009850977,-0.00093627867,0.027045727,0.02164774,-0.019764721,-0.028022107,0.0060326336,0.036014475,-0.004867952,-0.018732548,-0.01602658,0.00027438893,-0.008187643,-0.019416014,-0.005328245,-0.009338377,-5.4730677e-05,0.029068228,-0.008410816,0.0148130795,0.011367853,0.003807882,-0.0076506347,0.004700572,-0.026487794,-0.004313507,-0.002587407,0.016556615,-0.00723916,0.004826107,0.023628395,0.019667083,-0.027519967,-0.012874268,-0.022819396,0.007559971,0.0005034459,0.014366734,-0.016221857,-0.019806566,-0.0053456803,0.0029762154,0.0035585563,0.01496651,-0.013404302,0.011577077,-0.008159747,-0.006733535,-0.02286124,0.0011620666,0.0024531547,-0.032527402,0.039110992,0.005579314,0.018021185,-0.008857162,-0.0036474767,-0.00614422,0.0071624448,-0.033308506,-0.001272781,-0.0036056319,0.0023154153,-0.011500361,0.015803408,0.0011629383,-0.023991052,0.011849069,0.011625896,0.0044774,0.004296072,-0.026362259,-0.023502862,-0.016054478,0.0046099084,-0.0035201986,-0.015273373,0.0154547,-0.0008220771,0.0015578491,-0.027952364,-0.01789565,0.016696097,-0.029654056,0.00878742,-0.0017557405,-0.015287321,-0.017965391,0.039417855,0.02018317,0.010600697,-0.0031453385,0.0065208236,0.018314099,0.001828969,0.020517929,-0.004282124,0.0073019275,-0.0057222843,-0.008968747,0.0037764984,0.012309362,-0.027115468,-0.010600697,0.0077831433,-0.031132573,0.016235804,-0.010503059,0.111809455,-0.00732285,-0.012434897,0.00087220373,-0.0069915783,0.0292914,-0.0042716623,0.004100796,-0.009938153,-0.021187445,0.016472925,-0.0005470343,-0.011821172,-0.031355746,-0.005021383,0.011116784,-0.012699914,0.0022282386,-0.0083341,0.0021532667,-0.011653793,0.001314626,0.018579116,0.004348378,-0.015078097,-0.0027460686,0.012706888,-0.016556615,-0.03026778,-0.027380485,-0.019625237,0.017881703,0.0029674978,-0.026878346,-0.00040014143,-0.012727811,-0.02016922,0.0015064148,0.004201921,0.013850648,-0.013857622,0.025288241,-0.010349628,0.008494506,-0.018537272,0.005418909,0.008313178,-0.0129370345,-0.00010564737]','plot a line chart of commodity prices monthly relative change for Chad from 2008-01-01 using HDX data as an image','{"mem_type": "memory", "custom_id": "eac01945-a9f0-47d2-b0a9-826955b3cb2a"}','eac01945-a9f0-47d2-b0a9-826955b3cb2a','e3a4986e-0753-4972-8bbc-125e4518d7a9'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.027438797,-0.0070874356,-0.006983919,-0.009978999,-0.0042338283,0.015734522,-0.01821892,0.007014974,0.0045202244,-0.020178834,0.0037645532,0.021917913,0.013257025,-0.0071357433,-0.009461416,0.030309657,0.0042545316,-0.021503845,0.00961324,-0.016493643,-0.01846736,0.006235149,0.022318177,-0.008930031,-0.005203434,0.0108830435,0.013843618,-0.03975037,-0.0028346293,-0.0006607809,0.010807131,-0.005658907,0.00892313,-0.02502341,-0.006059171,-0.007218557,-0.0020185735,0.0021755737,0.014147267,-0.0068286443,0.01821892,0.0013646936,-3.501772e-05,-0.0037058939,-0.00075265183,0.018246524,0.026417432,-0.0015449851,-0.0146855535,0.032987285,0.02227677,0.028128907,-0.008874822,0.00094458886,0.020082219,0.013049991,-0.00090577017,-0.017887667,-0.011055572,-0.027866665,-0.0023636287,0.0033608386,-0.017059533,-0.0027466402,-0.030199239,-0.039971206,-0.017294172,0.005041258,0.011580056,0.00505506,0.02346376,0.041351426,-0.0044270596,-0.004399455,0.0106760105,0.0016726556,-0.013898827,-0.02353277,0.012449595,0.008888625,0.022111144,-0.022193957,-0.012580716,-0.0011567979,0.019198876,0.004523675,0.0050585107,0.035140432,-0.009992802,-0.010503483,0.0003157256,0.006107479,0.017694436,0.00026784916,-0.022414792,-0.01054489,-0.010434472,0.02215255,0.02208354,-0.03693472,0.0055243354,0.007632623,-0.027480204,-0.009516625,-0.034533132,0.017542612,-0.0061626877,-0.004754862,0.0040958063,-0.018605381,-0.0305857,0.018149909,0.009765064,-0.018149909,-0.0072392602,-0.044277497,0.011221198,-0.01965435,-0.0029674754,-0.01260832,0.0013336387,0.014795971,-0.00045029717,0.004437411,0.010372362,0.023560375,-0.0106069995,-0.050460886,-0.004137213,-0.011414429,0.0011240176,-0.004972247,-0.013574475,-0.012214958,-0.025175234,0.03519564,-0.02115879,0.017501205,-0.017363183,-0.021793691,-0.0049377414,0.028073698,0.019557733,-0.009813373,0.0019340349,0.032600824,0.007956975,-0.0004787642,-0.0025792883,-0.019999405,0.0041613667,0.0015139302,0.019530129,-0.0053138514,-0.013036189,0.025244245,-0.0030054315,0.004713455,-0.011614561,0.0034488277,-0.023118705,-0.0075843153,0.017183753,0.026500247,0.007950074,0.031413835,-0.009806472,-0.010820934,-0.013125903,0.012283969,-0.00025318432,0.024816377,-0.021172592,-0.009523526,0.023436155,0.014174871,0.00617649,0.011869902,-0.027687237,-0.011345418,-0.023836419,0.01897804,0.030751327,0.004030246,-0.02676249,-0.0068942048,0.018550172,-0.030558096,0.004516774,-0.00061635504,0.008032887,-0.0057382695,-0.007211656,0.0036265312,-0.6421893,-0.018922832,-0.011255704,-0.0063628196,0.03177269,0.013401948,0.0036023774,0.00072591007,-0.04985359,0.018356942,0.008074294,0.02615519,0.0023101452,-0.031248208,0.0070943367,-0.021862702,-0.034726366,-0.00368174,-0.0049135876,0.030088821,0.012815353,0.0047583124,-0.006183391,-0.0018615733,0.005790028,-0.0076809307,0.017515007,0.0026120686,-0.0043511475,0.028957041,-0.018881425,-0.0019271338,0.005513984,-0.00985478,0.04193112,-0.008571173,-0.024167672,0.0218489,0.022442397,0.048638996,-0.020661911,0.00942691,0.009392405,0.016935313,-0.012428892,0.015803533,-0.013677992,-0.018591579,0.0129533755,-0.020482482,-0.003195212,0.0020893097,-0.010765725,0.0015889796,0.0013224244,0.0054863794,-0.0010506933,0.0032814757,0.0058624893,-1.4607565e-06,-0.016438434,-0.0019547383,-0.029398711,0.0042614327,-0.006611259,0.01092445,-0.02346376,0.0057520717,0.007184051,-0.0018460458,-0.005124071,0.019888988,-0.016880104,-0.028791415,0.03193832,0.018494964,0.014561334,-0.029729964,-0.009840977,0.0059315003,0.022801254,-0.008060492,-0.020316856,0.0027587172,0.023629386,0.011090077,-0.038673796,-0.0011671495,0.00961324,0.005103368,0.001821892,0.017073335,0.008709196,-0.029315898,-0.01853637,0.044139475,-0.0070184246,0.009654647,0.022221562,-0.031248208,-0.016300412,0.014029948,-0.0060557206,-0.009827175,0.035471685,0.025906751,-0.023380946,0.00013748297,0.031275813,-0.030420074,-0.018522568,0.00081346784,-0.027756248,-0.013188013,0.016493643,-0.032656033,0.018646788,0.0059591047,0.007232359,0.0030589153,0.031027371,-0.009999703,0.02502341,-0.018674392,0.012277068,0.018425953,0.010379263,-0.0060074124,-0.010041109,0.010220538,-0.0011895781,0.01947492,0.020178834,-0.019005645,0.027811456,0.0025568597,0.0062420503,0.0108140325,-0.023063496,-0.015527488,-0.00014190399,0.023546573,0.0049894997,-0.0035316409,0.011980319,-0.018149909,-0.0040923557,0.00315208,0.0031934867,0.0010912374,-0.016383225,-0.011379924,-0.0006944238,0.0010084241,0.017321777,0.0037265972,0.0120562315,-0.0155136855,-0.00066681934,-0.026859105,-0.0064939405,0.0052689943,-0.019171271,0.0013414024,0.026472641,0.007943173,0.0021427933,0.030613305,-0.0014837377,-0.021200197,0.011724979,-0.014057552,-0.03894984,0.029674755,-0.0059315003,0.017749645,-0.023988243,-0.022055935,0.009633943,-0.02022024,0.024112463,0.013332937,-0.009357899,-0.033705,0.007059831,0.011034869,0.0051309722,0.009192273,-0.0033798167,0.010082516,-0.021669472,0.01410586,-0.0027690688,0.00686315,-0.01404375,0.017183753,-0.031275813,0.021296812,0.019971801,0.027673434,0.035775334,0.0137193985,0.011614561,0.02514763,0.020606702,-0.030613305,-0.001628661,-0.03456074,-0.0025758378,0.017321777,0.016590258,-0.045712925,-0.006542248,-0.014588938,-0.00405785,0.0023929584,0.012083836,-0.00923368,-0.0343399,-0.014630345,-0.009813373,-0.025244245,0.021296812,-0.008660888,-0.0065111932,-0.01584494,0.0012723914,0.015817335,0.01097966,-0.017114742,0.0038956744,0.016093379,-0.019930394,0.009192273,0.028377347,0.012822255,0.012691134,0.0015648258,0.012642826,0.008226118,0.024843981,0.0004494345,0.0077223373,-0.013526168,-0.0033832672,0.0019495625,0.013201815,-0.0024671454,-0.0011197045,0.020289252,-0.008012184,0.023256727,-0.013505464,0.004575433,0.022442397,-0.019005645,-0.008757504,0.0011197045,0.0368243,0.03138623,0.02302209,-0.008281327,0.008750603,-0.0058521377,-0.011683572,-0.024912992,-0.016397027,0.0037749049,-0.016383225,-0.009033548,-0.005065412,-0.01584494,0.01048278,-0.019295491,-0.0014526828,-0.027107544,0.016548852,0.006725128,0.0143543,0.018384546,-0.016949115,-0.023864023,0.031800296,0.00073496776,0.0012792925,-0.03364979,-0.022980683,0.009799571,-0.005231038,0.0047514113,0.016797291,0.010689813,0.0355545,-0.01772204,-0.008288228,0.020427274,0.0149754,-0.006414578,-0.00075523974,0.025299454,-0.010275747,0.0101929335,-0.008536668,-0.019668153,0.039474327,-0.0021255405,-0.008198514,-0.020744724,-0.011262605,-0.0071564466,0.003950883,0.00048048949,-0.025989564,0.0054587745,0.0027483655,-0.003526465,-0.022552814,0.0062109954,0.030226843,0.0006267067,0.0035782233,-0.030999767,-0.042676438,1.529835e-05,0.063931845,0.028487764,0.00455473,-0.0148235755,-0.017349381,0.0010101494,-0.033732604,-0.022042133,0.027535412,0.00355752,0.0032383439,-0.0053276536,-0.0038404653,-0.0007332425,0.013319135,-0.003550619,-0.0077568428,-0.01591395,0.015803533,-0.004206224,-0.008039788,-0.007639524,0.010600098,0.013312234,0.013595179,-0.0062938086,0.033622187,0.03936391,0.016866302,-0.0119182095,-0.012470298,0.023229122,0.012194254,0.013774607,-0.006473237,0.02409866,0.0143543,-0.0015389466,0.014257684,-0.0057244673,0.011511045,0.006514644,-0.0017701336,-0.009785768,0.008702295,0.010372362,0.003968136,0.018370744,-0.020137427,0.0077913487,0.004168268,-0.016507445,-0.021296812,0.0002154439,-0.021075977,0.017004324,0.0021393427,-0.011600759,0.00985478,-0.010186032,-0.019461118,-0.008184711,0.031745087,-0.026431235,-0.00022256066,-0.012346079,-0.024968201,-0.02901225,-0.004723807,0.009323394,-0.02865339,-0.029867986,-0.018205117,0.010641505,0.007998382,0.0047790157,0.002322222,-0.0027104092,0.0063110613,-0.025106223,-0.030420074,-0.0050826645,-0.0017701336,-0.011145286,-0.01603817,-0.010144626,-0.011186693,0.004088905,-0.011842297,0.03770764,0.0153756635,-0.028432555,0.013767706,-0.005886643,-0.025727322,-0.009281987,0.00792247,0.0138574205,0.008619481,0.004423609,0.0041855206,-0.03486439,-0.02534086,-0.022953078,0.00042851554,0.0072392602,0.0029295194,0.006959765,-0.016811093,-0.006597457,0.029039854,-0.018067095,-0.028322138,-0.0060936767,0.0007755118,-0.009281987,-0.010917549,0.010820934,0.000627138,0.0048342245,0.0038163115,0.02034446,-0.001940936,-0.00015807846,-0.016493643,0.015141026,0.0036886411,-0.025078619,-0.017087137,-0.017059533,-0.016272807,0.024761168,-0.007956975,0.0062869075,-0.027866665,0.007218557,-0.016328016,-0.0004239867,-0.0048411256,-0.029039854,-0.009447614,0.001953013,-0.014920191,-0.006535347,-0.01135922,-0.023242924,-0.023229122,0.010186032,-0.015831137,0.001797738,0.00030364865,-0.011207396,-0.0136503875,-0.019516326,-0.019116063,-0.03894984,-0.03850817,0.017763447,0.01460274,0.031469043,0.022262968,0.03480918,0.020551493,-0.011145286,0.004175169,-0.010717417,0.019888988,-4.121119e-06,-0.027024731,-0.0056865113,0.023229122,0.01291887,0.008184711,-0.0174736,-0.007963876,-0.0020479031,-0.0048031695,-0.021020768,0.013188013,-0.030199239,-0.0039405315,0.015679313,-0.013215617,-0.018936634,-0.04187591,-0.0062109954,0.03856338,0.0018512217,0.026872907,-0.0001332776,-0.00018880994,0.019723361,0.042924877,0.0099859005,-0.0035178387,0.0047721146,-0.0008337399,-0.0255893,0.015389466,0.03420188,0.010841637,0.025175234,0.0005119758,0.0011067649,0.003183135,0.0193507,0.014630345,0.030447679,-0.0072668646,-0.02564451,-0.0076188208,-0.019364502,-0.016065774,0.0006241188,0.029840382,0.012836057,-0.018329337,0.01628661,-0.00051154447,-0.018646788,-0.008067393,-0.011096979,0.038370147,-0.011869902,0.025244245,0.012332276,0.015279048,-0.015458477,0.008060492,-0.027107544,0.0026914312,0.027162753,0.04648585,-0.029757569,-0.015996763,-0.011317814,0.011159088,0.010827835,-0.028046094,0.011676671,0.025451278,0.019378304,-0.005086115,-0.008094997,-0.018122304,0.010344758,-0.0102619445,0.010689813,0.023201518,-0.01298098,-0.0058245333,0.011186693,-0.046541058,0.033981044,-0.02970236,-0.013836717,-0.0016019192,0.021269208,-0.018605381,0.024857784,0.00630416,0.016259005,0.0046582464,0.024402311,0.026127586,0.004378752,0.0155136855,-0.023063496,-0.0041648173,0.028046094,-0.00861258,-0.0008842042,0.018080898,0.010993462,0.023284331,0.012007924,-0.026721083,-0.017942876,-0.008391744,-0.010061813,0.023933034,-0.01954393,-1.676753e-05,-0.02651405,0.0007686107,-0.013001683,-0.017680634,0.011752583,0.0002277365,-0.004237279,-0.0069356114,0.010910648,-0.0027414644,0.012939573,0.011462737,-0.0068493476,0.0023739804,0.030088821,-0.009730559,0.016521247,0.02470596,0.010558692,-0.032932077,0.009406207,-0.027038533,-0.012635925,0.019143667,-0.019723361,-0.011124583,-0.012159749,-0.011083176,0.01828793,0.010917549,0.011538649,-0.0017356281,0.010600098,-0.015817335,-0.018757205,-0.019764768,0.015279048,-0.026058575,0.009095658,-0.008440052,-0.020137427,0.029867986,-0.029674755,-0.0045719827,0.019364502,-0.025492685,-0.006832095,0.021241603,0.026941918,-0.016466038,0.0038232126,-0.021917913,-0.012359881,-0.020882746,0.014933993,-0.008778207,0.002258387,0.036465444,0.0144095095,-0.010682912,0.0019737163,-0.027466401,-0.029564338,-0.0049687964,-0.013401948,-0.009150866,-0.009344097,0.0027794205,0.022787452,0.025699718,-0.025658311,-0.02365699,-0.023726001,-0.01784626,-0.022221562,-0.010510384,0.00673893,0.03177269,0.025768729,-0.0076671285,0.032794055,0.0010360285,-0.0005287972,0.00230842,0.0033970694,0.025796333,-0.03251801,0.025989564,0.0036713884,0.0075360076,-0.007812052,0.0064180284,0.0053759613,0.025368465,0.041599866,-0.017211357,-0.0061557866,-0.006528446,-0.006597457,0.0012801551,0.0033297837,-0.0268315,-0.031054975,0.01148344,0.006459435,0.0018080898,-0.04143424,-0.01485118,-0.02353277,-0.0145475315,-0.026983324,-0.027783852,0.0067906883,-0.018246524,-0.03039247,0.007508403,-0.008909328,0.009537328,0.023629386,0.035802938,0.016051972,-0.018149909,0.02521664,0.008647086,-0.030061217,-0.0092267785,-0.012449595,0.013008584,-0.018136106,0.032794055,-0.018964238,0.0013793586,-0.0063800723,0.0009644295,-0.03657586,0.024002045,0.006259303,-0.018177513,-0.01054489,0.0062109954,-0.016548852,0.0015216939,0.007046029,0.031551857,-0.026017169,0.022442397,-0.0067423806,0.004599587,0.0026690026,0.0022739144,0.013753904,-0.0041717184,0.03693472,0.19742684,0.0046720486,0.012553112,0.026376026,-0.0037473005,0.016714478,-0.0047479607,0.005341456,0.020510087,0.014271487,-0.016438434,0.023118705,-0.0035678716,-0.0027776952,0.011290209,-0.017625425,-0.04756242,-0.016369423,-0.031551857,-0.015610302,0.028377347,0.02284266,0.0021307163,-0.020054614,0.011697374,-0.0003023547,-0.00798458,0.0059625553,0.023491364,0.036989927,-0.0113661215,-0.013974739,0.008157107,0.021186395,-0.009330295,0.00026784916,-0.0099168895,-0.0007711986,0.024374707,-0.01660406,-0.0015838038,-0.014795971,0.023063496,-0.0092957895,0.023615584,0.0040958063,0.014906389,-0.019764768,0.025161432,-0.004044048,-0.015748324,-0.008667789,0.0031779592,0.02103457,-0.009040449,-0.007280667,0.034505527,-0.0003204701,-1.1170491e-06,-0.013112101,-0.008688493,0.025920553,0.00013748297,-0.009164669,-0.0057555223,0.0062006437,-0.029923195,0.006914908,0.017625425,-0.010103219,0.0051447744,-0.024623146,-0.0218489,-0.013816014,-0.0034281244,-0.02365699,0.02277365,0.025354663,0.03251801,0.020441076,0.0067803366,0.00742559,-0.007881063,-0.015486081,-0.013822915,-0.0299508,0.0014431938,-0.0013508914,-0.041268613,0.001001523,-0.0020858592,-0.014588938,-0.0023239474,0.012221859,-0.012925771,-0.014506125,0.013684893,0.031275813,-0.012014825,-0.0020944856,-0.010793329,0.038867027,-2.7092232e-05,-0.007943173,-0.01116599,-0.023726001,-0.013526168,-0.008584975,-0.008867921,-0.011462737,0.005017104,-0.040357668,-0.00069528644,0.00018730032,-0.025354663,0.016617863,0.0050964667,-0.037459202,0.0042614327,-0.006276556,0.0051654777,-0.011393726,0.0044719167,-0.012021726,-0.0355545,-0.0016157214,0.0034643551,-0.0029260688,-0.010724318,-0.036713883,0.02483018,-0.024540333,0.030723723,-0.012421991,0.005448423,0.020620504,-0.0009808197,-0.0162314,-0.0013094848,0.0040405975,-0.01135922,-0.0048894333,0.0124772,0.010731219,0.009475218,-0.0013603804,0.008833416,0.009806472,-0.026072377,-0.019557733,-0.0006426655,0.0009040449,0.0066733696,-0.020648109,0.035775334,-0.024567937,-0.009771965,-0.02409866,0.0153756635,0.030116426,-0.0131604085,0.019074656,0.021048373,-0.0010317153,-0.012967178,-0.001566551,-0.17755166,-0.0032763,0.02989559,-0.016051972,0.0007198716,0.010627703,0.032297175,0.0067734355,-0.006921809,0.0046478948,-0.016189994,0.0035299156,-0.045022815,0.012932672,0.012187353,0.01903325,-0.006145435,0.014740762,0.0074877,0.025409872,0.041655075,-0.016893907,0.036051378,0.002844981,0.011662869,-0.0104689775,-0.02071712,0.04262123,-0.008088096,-0.0101239225,-0.0029881787,-0.010489681,0.014423312,-0.0012007924,-0.01391953,-0.023173913,-0.011014165,-0.00910946,-0.02015123,0.022787452,0.012884364,-0.013367442,0.016521247,-0.00605227,-0.008964537,0.0305857,0.0029105414,0.0067423806,0.019930394,-0.0073151723,0.012677331,-0.036603466,0.021614263,0.0042993887,0.022290573,0.02627941,0.017321777,0.017128544,-0.0049825986,-0.015817335,-0.013201815,-0.014878784,0.022193957,-0.021324417,-0.051537458,-0.0029381458,-0.021186395,0.008557371,-0.017984282,0.018108502,-0.0076602274,-2.364168e-05,-0.00268453,-0.035968564,0.01485118,0.0054863794,-0.025851542,0.011393726,0.020661911,0.00078888267,-0.0036299818,0.03384302,-0.00904735,-0.006404226,0.010117021,-0.0058003794,-0.006259303,0.012187353,-0.008653987,-0.01635562,0.01915747,-0.028432555,-0.0008035475,-0.020703318,0.009261284,0.013809113,0.011117682,-0.011172891,0.025685916,0.0057451706,0.002022024,0.013243223,-0.0072047547,0.013367442,0.031965923,0.015458477,0.0007517892,0.026472641,0.038094103,0.01235298,-0.04049569,0.0114351325,0.026182795,0.009344097,0.009723658,0.012960277,0.025285652,0.00830203,0.00084969867,0.008943833,0.0135813765,0.008536668,0.006890754,-0.012863661,0.0013922981,-0.017515007,-0.09727799,-0.01391953,0.019957999,-0.0021272658,0.0030537394,0.02470596,-0.0038715203,0.002265288,0.008019085,0.031303417,-0.028874228,-0.010869241,-0.0016243478,-0.0118491985,0.03340135,0.02039967,-0.02365699,0.003500586,0.030337261,0.036217004,-0.008729899,-0.030944558,0.010965858,-0.01635562,0.010917549,-0.003283201,-0.02034446,0.020482482,0.023146309,0.031193,0.020040812,-0.035085224,0.032186758,-0.0008531492,-0.009647746,-0.028032292,-0.006266204,-0.01048278,-0.0020254746,-0.060619313,0.009640845,0.02096556,0.043118108,-0.026596863,0.020565296,-0.026941918,-0.021766087,0.031303417,0.013146606,0.0042545316,-0.032932077,-0.010703615,-0.0068735015,-0.0053897635,0.014450916,-0.00786036,-0.0146855535,-0.013077595,-0.0461822,-0.0017226886,-0.017501205,-0.027935676,-0.023242924,0.035085224,0.00680104,0.019833779,-0.03226957,-0.017556414,0.022000726,-0.002782871,-0.045657717,0.02821172,-0.01841215,0.0034988606,-0.024126265,0.0026603763,-0.0031693329,-0.0043338947,0.035582103,-0.005217236,-0.01023434,-0.024609344,0.026431235,-0.0023515518,0.0118561,0.009143965,-0.0017511556,0.022511408,-0.00023916645,-0.022801254,0.033235725,0.034063857,0.008274426,-0.009344097,-0.0004414551,0.024857784,0.012435793,0.01970956,-0.032738846,-0.006090226,-0.048777018,-0.0056313025,-0.063434966,0.033815417,0.020565296,0.0149754,-0.01958534,0.00536906,0.013139705,-0.012497903,-0.012546211,-0.016272807,-0.00736348,-0.0024084859,-0.029647151,0.0011490341,-0.0024360903,-0.0062558525,0.010496582,0.0042096744,0.03751441,-0.005817632,-0.008605679,0.005672709,0.020496285,0.018646788,-0.007563612,-0.011317814,0.012249463,0.016907709,-0.011828495,-0.021117384,0.039060257,-0.0035540694,0.0013707322,0.027190357,0.01928169,-0.021807494,-0.008246821,0.0022014529,0.02865339,0.00792247,-0.0054587745,-0.019047052,0.0040543997,-0.016893907,-0.0053449064,0.004910137,-0.00054001156,-0.00075049524,0.00879891,-0.004523675,0.007881063,0.006901106,-0.016935313,-0.015762126,0.0022100792,-0.04157226,0.008584975,0.023518968,0.014450916,-0.0007867261,0.010662208,0.025879147,0.0299508,0.009958296,-0.0026948818,-0.0074738977,-0.01173188,-0.008978339,0.018053293,-0.022097342,-0.02420908,-0.007639524,-0.003975037,0.017873865,0.004661697,-0.016783489,0.01097966,0.008150206,0.0067182267,-0.01977857,0.0019219579,-0.029812777,-0.018646788,0.035416476,-0.009689152,0.023298133,-0.01404375,0.014947795,-0.02502341,0.0116421655,-0.0205929,-0.011262605,-0.014506125,0.0048204223,-0.007894865,0.02378121,0.00736348,-0.018743403,0.020606702,0.02608618,0.0005331104,-0.0042717843,-0.011966517,-0.04262123,-0.012180452,0.016797291,0.00039551963,-0.01965435,0.007418689,0.010248142,-0.026679676,0.0055760937,-0.008377942,0.013339838,-0.019074656,0.009316493,0.009440713,0.0017563314,-0.002627596,0.014437114,0.02378121,0.016369423,0.0008876547,-0.010241241,0.00836414,-0.0136503875,0.014506125,0.0072461613,-0.0018581228,0.0045443783,0.0019547383,-0.009992802,-0.008481459,-0.02739739,-0.021075977,-0.0062109954,-0.031027371,0.004854928,-0.012539309,0.09059772,-0.0036575862,0.00038840287,-0.013795311,-0.024084859,0.032656033,-0.0007008936,0.011090077,-0.008695394,-0.03414667,0.019985603,0.0040405975,-0.0287086,-0.041986328,-0.011835396,0.015527488,-0.010089417,-0.004423609,-0.019971801,-0.00985478,0.003781806,-0.01148344,0.037431598,0.0067044245,-0.0012706661,-0.008039788,0.009461416,-0.0062247976,-0.021572856,-0.014340498,-0.015044411,-0.0027621677,-0.00073453644,-0.014285289,-0.0010368911,0.008377942,-0.022387188,0.0062247976,0.007577414,0.011759484,-0.02353277,0.008074294,-0.012014825,-0.011649067,-0.017666832,0.0074531944,0.0099859005,-0.017929073,-0.028487764]','plot a line chart of conflict events by month for a country using HDX data as an image','{"mem_type": "recipe", "custom_id": "e574d89f-98d9-4ee0-a279-6bed160c6fc7"}','e574d89f-98d9-4ee0-a279-6bed160c6fc7','29824f71-6fc9-47e4-9b98-3720d8663770'); +INSERT INTO public.langchain_pg_embedding ("collection_id","embedding","document","cmetadata","custom_id","uuid") VALUES + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.022367993,-0.004861687,-0.013265559,-0.006643364,-0.0024449558,0.01982778,-0.014331038,-0.0022473836,0.0010751807,-0.017852057,0.01601746,0.031075278,0.021648265,0.00082336436,-0.002891257,0.023257066,0.0004789361,-0.02334174,0.009384679,-0.02092854,-0.022085747,0.004558272,0.023666322,-0.0015206,-0.0029230097,0.008446211,0.012023677,-0.030426113,-7.276654e-05,-0.0053168084,0.020434609,0.003655085,-0.0032140757,-0.026023077,-0.01773916,-0.0011625006,-0.007592416,0.0043113073,0.013632479,-0.006463432,0.018190753,-0.01627148,-0.00066989317,0.0015241281,-0.0058036824,0.009617532,0.019319737,-0.013131493,-0.024484836,0.032260716,0.022706687,0.020886201,-0.018289538,0.00083262555,0.024428386,0.01188961,0.001711116,-0.0069009135,-0.00481935,-0.030228542,-0.012849247,-0.0010487202,-0.009045984,0.0010310798,-0.022325655,-0.031837344,-0.018430661,-0.0032123118,0.02185995,0.009222387,0.020364046,0.03722824,-0.0054155947,-0.017964955,0.005052203,-0.0017234643,-0.022142196,-0.025754943,0.012503495,0.0063822865,0.028901985,-0.02819637,-0.010929975,0.012087183,0.024625959,0.009172994,0.009744542,0.038949944,-0.017428689,-0.012178913,0.004904024,0.008361537,0.022918371,0.0028242236,-0.0068762167,0.0010566583,-0.004844046,0.020237036,0.031696223,-0.026883926,0.00472762,0.0059059965,-0.031131728,-0.008248638,-0.032938104,0.015227169,0.0012992135,-0.0065904427,0.0016802454,-0.020801527,-0.0332768,0.015156607,0.009151826,-0.02105555,-0.015579976,-0.044284392,0.010153798,-0.021704715,-0.012341204,-0.014281645,-0.0022597318,0.012418821,-0.003323446,0.0065304656,0.008523828,0.025444472,-0.011409792,-0.05111474,0.012672843,-0.0056166947,0.0029671106,-0.007634753,0.0029406499,-0.012567,-0.023115942,0.04053052,-0.029438253,0.022113971,-0.020462833,-0.013187942,-0.010915862,0.025839616,0.024061467,0.00091641734,0.00015071494,0.026121862,0.0064175674,0.007260777,-0.0033393223,-0.026996825,0.0057331207,-0.0013292021,0.02032171,-0.0012013094,-0.013456075,0.01903749,-0.006929138,-0.005902468,-0.013815939,0.0015964536,-0.013653648,0.0072466647,0.019686656,0.023934456,0.015565864,0.03474448,-0.00491108,-0.015579976,-0.016313817,-0.0005763992,-0.00045247553,0.025529146,-0.007020868,-0.008552053,0.0061917705,0.01040782,-0.0017737394,0.011099323,-0.0269686,-0.0141334655,-0.02044872,0.006509297,0.032091368,0.0032775812,-0.02770244,-0.002136249,0.020759191,-0.036494404,0.006040063,-0.0029812227,0.010732403,-0.0022491475,-0.015763437,0.00010562172,-0.6281666,-0.01022436,-0.011409792,-0.0025313934,0.025980739,0.020759191,0.00800873,-0.0044700704,-0.053231586,0.024061467,0.015721101,0.03451868,-0.0010487202,-0.027885899,0.015015485,-0.025021102,-0.034462232,0.0018081381,-0.0030606044,0.035647664,0.008121627,-0.0057154805,0.0024273153,-0.008777849,0.006223523,-0.0007752943,0.009045984,-0.0010645965,0.0060365354,0.03228894,-0.018515335,-0.0063575897,0.0075571355,-0.008502659,0.038329,-0.016045684,-0.017273454,0.025345687,0.02297482,0.04115146,-0.022269206,0.008580278,0.0028736165,0.010577167,-0.00370095,0.02893021,-0.016525501,-0.018035518,0.008058122,-0.0288032,0.000121057055,-0.010097349,-0.008523828,-0.003175267,0.005345033,-0.013075043,0.0059624454,-0.0011483883,-0.0006910616,-0.0043748124,-0.019983014,0.0002020925,-0.033728395,-0.00397614,-0.0074371807,0.012051902,-0.026883926,-0.005062787,-0.00070870196,-0.00050583767,-0.004826406,0.015975121,-0.030341439,-0.026827477,0.028238708,0.0062270514,0.011092267,-0.022819584,-0.007112598,0.008262751,0.027631879,-0.011106378,-0.01614447,-0.0019827778,0.02365221,0.002838336,-0.049788184,-0.0010725347,0.008262751,0.0013177359,0.009081264,0.011692039,0.005747233,-0.02997452,-0.016991207,0.036917772,-0.007931111,0.018162528,0.011169884,-0.029889846,-0.015283618,0.011692039,-0.0028595042,-0.0039514434,0.040078927,0.016384378,-0.0068656327,-0.0027783588,0.03003097,-0.027180284,-0.021281347,0.0075641912,-0.030793034,-0.011586196,0.010259641,-0.031611547,0.009497576,0.012538776,0.020914426,-0.009300005,0.039091066,-0.0070067556,0.020533394,-0.023426414,0.01234826,0.013731265,0.01608802,0.0032652328,-0.0040537575,0.010167911,-0.0037538712,0.015509415,0.025345687,-0.029325355,0.022664351,-0.0040784543,0.0052744714,0.007366619,-0.030228542,-0.028901985,0.009652812,0.030200318,0.0043818685,0.0031170538,0.0012154217,-0.01909394,-0.0021503614,0.0028718526,-0.00982216,0.00749363,-0.016553726,-0.014352206,-0.0071866876,0.01608802,0.025317462,0.00083835865,0.018825807,-0.02118256,-0.0071090697,-0.02469652,-0.0047558444,0.012044846,-0.018557671,-0.0072325524,0.027857674,0.006819768,-0.0016317344,0.017061768,-0.00046835188,-0.014253421,0.011318063,-0.020886201,-0.046796378,0.026601681,-0.0057719294,0.013935894,-0.02861974,-0.030962382,0.015043709,-0.014048792,0.018981041,0.025331574,-0.006586915,-0.037764512,0.009800991,0.011565028,0.00509454,0.018698795,0.0012136577,0.02222687,-0.022805473,0.018783469,-0.00654105,0.005500268,-0.005701368,0.016906533,-0.023200616,0.016977094,0.02050517,0.021394243,0.03203492,0.013456075,0.0070561487,0.016059795,0.01804963,-0.030623686,0.0026725165,-0.028154034,-0.00538737,0.0065657464,0.01406996,-0.04298606,-0.0006756263,-0.010153798,-0.0041984087,0.0055108527,0.0071267104,-0.014860249,-0.030143868,-0.011162828,-0.00050936575,-0.02861974,0.030764809,-0.015156607,0.0056519755,-0.011445073,-2.7563083e-06,0.013075043,0.011346288,-0.01031609,0.0053238645,0.025105776,-0.024244927,0.016553726,0.033135675,0.005422651,0.012588169,0.0026372357,0.006364646,0.0021450694,0.027744778,0.0133714015,0.003367547,-0.0021962265,-0.008537941,0.0011898432,0.012468215,-0.0016423186,-0.0039408593,0.012870415,-0.0060965125,0.020618068,0.00057728123,0.0076982584,0.023878006,-0.0166384,-0.008382705,0.0004687929,0.039147515,0.024273152,0.016539615,-0.0066645322,0.009441128,0.0009984451,-0.0050874837,-0.015763437,-0.02160593,-0.0011210457,-0.015481191,-0.008544996,0.010527775,-0.016483165,0.0043254197,-0.01867057,-0.004773485,-0.026262986,0.020194698,-0.00047540801,0.016850084,0.014705014,-0.013357289,-0.014535666,0.029099558,0.007733539,-0.0014809092,-0.028789086,-0.018896367,0.017513363,-0.0020603957,0.013780658,0.0038279607,0.009194163,0.04414327,-0.01053483,-0.012376484,0.023398189,0.018091967,-0.009942114,-0.0057225367,0.018021405,-0.014606228,0.013766546,-0.015946897,-0.012355316,0.032796983,0.002552562,-0.007444237,-0.020081801,-0.023299403,-0.0024890567,0.008403874,-0.0030023912,-0.027208509,0.0031258739,-9.020019e-06,-0.0043712845,-0.01848711,0.0021732938,0.039373312,-0.008121627,0.009843328,-0.028676188,-0.04758667,0.0021468333,0.07033569,0.03688955,0.0043889247,-0.014020568,-0.015495303,0.007528911,-0.023398189,-0.0152130565,0.033107452,-0.0012189498,0.0059412774,-0.015876336,-0.004258386,0.005006338,0.009356454,-0.0027183816,-0.017710935,-0.014415712,0.011014649,0.00039205726,-0.014535666,-0.0013009775,0.0012930393,0.013314952,0.013921781,0.005249775,0.03192202,0.034857377,0.014119354,-0.008573221,-0.019926565,0.03494205,0.006170602,0.0055602454,-0.002369102,0.022085747,0.007874662,-0.008911916,0.016257368,0.0069185537,0.0069079697,0.00087099336,0.0035404225,-0.0069926432,0.0069608907,0.010746515,-0.0066786446,0.015509415,-0.0155940885,-0.0015276562,0.0059236367,-0.018218977,-0.028859649,0.012312979,-0.023200616,0.0022350352,-0.0017358126,-0.015283618,4.7573878e-05,-5.3637756e-05,-0.01940441,-0.008947197,0.029071333,-0.027561316,-0.0047452603,0.0038632415,-0.02500699,-0.030877708,-0.010386651,0.0051404047,-0.031696223,-0.021168448,-0.01989834,0.00703498,0.011035818,-0.0019721936,0.010986424,-0.0033446145,0.004540632,-0.02493643,-0.024767082,-0.0066221957,-0.0008595271,-0.00859439,-0.017837945,-0.012397653,0.00086217315,0.00767709,-0.013251447,0.034292884,0.024301376,-0.037623387,0.014077017,-0.02026526,-0.027617766,-0.011064042,0.010273754,0.013992343,0.01040782,0.004861687,0.0003887497,-0.02592429,-0.02167649,-0.019573757,-0.0003364901,0.013180885,0.009031871,0.009751598,-0.019926565,-0.010958199,0.02136602,-0.012136576,-0.030172093,-0.011445073,0.0041031507,-0.016779523,-0.011875498,-0.00046570582,-0.0063893427,0.013907669,0.013039763,0.012468215,-0.0028718526,-0.0030535483,-0.018007293,0.0075147985,-0.002900077,-0.03482915,-0.021323683,-0.008022842,-0.018473,0.025049327,-0.013300841,0.006170602,-0.030115644,-0.0045688567,-0.021210784,0.0011448602,-0.008439154,-0.027787114,-0.018656459,0.00227208,-0.016200919,-0.011402736,-0.013441963,-0.020491058,-0.027942348,0.010697122,-0.0021821142,7.993294e-06,-0.004071398,-0.015678763,-0.0077123707,-0.0127151795,-0.022480892,-0.040389396,-0.031047055,0.020674517,0.022015186,0.025077552,0.031442203,0.022664351,0.0191645,-0.012559945,0.016102133,-0.0076065282,0.0044665425,-0.0055461335,-0.023525199,-0.0052286065,0.020674517,0.015255393,0.0042936667,-0.023271179,0.0007153171,0.013166773,-0.0063752304,-0.014112297,0.0134843,-0.032740533,-0.008156909,0.024682408,-0.0040855105,-0.021295458,-0.04487711,-0.005934221,0.041377258,0.014105242,0.028633852,-0.0055743577,-0.00021444076,0.029692274,0.03787741,0.007973448,-0.0043607,0.0044594863,-0.0038702977,-0.027307296,0.008622615,0.027900012,0.0069961715,0.027434306,0.010090293,0.003799736,0.008128684,0.019983014,0.008093403,0.032627635,-0.0075077424,-0.024371937,-0.01225653,-0.02026526,-0.017287565,-0.0067456784,0.028083472,0.012849247,-0.02044872,0.01293392,-0.0014103479,-0.012383541,-0.0058177947,-0.012686956,0.037849184,-0.012863359,0.026827477,0.0047064517,0.028676188,-0.003842073,0.006830352,-0.023821557,0.010139686,0.024541285,0.042534467,-0.019051602,-0.003605692,-0.008036954,0.012856303,0.015833998,-0.028704412,0.014105242,0.029381804,0.013427851,-0.01040782,-0.013660704,-0.019559646,0.012193025,-0.0073877876,0.014077017,0.016666625,-0.015579976,-0.0043218913,0.0051756855,-0.052413072,0.03307923,-0.02310183,-0.012679899,0.011797881,0.028281044,-0.020730967,0.026799252,0.0012524665,0.013822995,0.0045124074,0.017118217,0.026023077,0.015819887,0.011656757,-0.0234123,-0.004964001,0.02997452,-0.0068162396,0.003979668,0.010605392,-9.812457e-05,0.008918973,0.0072466647,-0.023609873,-0.019065715,-0.012736348,-0.006414039,0.025642045,-0.025515033,-0.00445243,-0.023722772,6.0914408e-05,-0.016342042,-0.012298867,0.006601027,0.0019598454,-0.014606228,-0.0015876335,0.004590025,-0.0018716435,0.010492493,0.016073909,-0.011106378,0.01161442,0.028591515,-0.0052744714,0.026389996,0.014493329,0.0025684384,-0.041574832,0.004011421,-0.017583923,-0.0045088795,0.008121627,-0.017456913,-0.022833697,-0.005337977,-0.0023020688,0.020293485,0.0034081198,0.015368292,-0.0022032827,0.022847809,-0.005493212,-0.019079827,-0.020646293,0.0076206406,-0.025599707,0.0007603,0.0052180225,-0.015777549,0.03290988,-0.025148114,0.000901423,0.020857977,-0.017485138,-0.0037397589,0.02389212,0.015452966,-0.012270642,-0.005757817,-0.02702505,-0.010704178,-0.015368292,0.015255393,-0.009695149,0.005500268,0.027123835,0.0013847693,-0.026926264,-0.00075897697,-0.025515033,-0.02812581,-0.011727319,-0.005613167,-0.0147896875,-0.008312143,0.0016908296,0.022819584,0.035393644,-0.024851756,-0.028182259,-0.033446148,-0.013244391,-0.018515335,-0.0174428,0.011565028,0.031413976,0.014211084,-0.009010702,0.03211959,-0.0058707157,0.0033516707,-0.0047170357,0.002900077,0.019418523,-0.027758889,0.024484836,0.0009781587,0.0034822093,-0.009172994,0.008361537,0.010097349,0.041095015,0.038949944,-0.019249175,0.00936351,-0.007176103,0.0022367993,-0.0046500023,-0.0021397772,-0.017710935,-0.033756617,0.009906833,0.0059518614,0.0026107752,-0.03203492,-0.008509716,-0.022480892,-0.009292948,-0.028605627,-0.03734114,0.004731148,-0.026559344,-0.016342042,0.0038702977,-0.007063205,0.011064042,0.02081564,0.035704114,0.01590456,-0.015777549,0.02997452,-0.001279809,-0.029664049,-0.013801827,-0.008509716,0.012200081,-0.014140522,0.032881655,-0.005750761,0.0011466242,-0.014860249,-0.0010231417,-0.030087419,0.023736885,-0.00014509207,-0.014465105,-0.015424741,0.011113435,-0.0148038,0.007916999,0.0030535483,0.025458584,-0.039712008,0.007225496,-0.009067152,0.0072043277,-0.002317945,0.008086347,0.0058601312,-0.0027307298,0.0348856,0.20332998,0.011409792,0.003746815,0.02420259,-0.011515634,0.02451306,-0.0043712845,0.00646696,0.018797582,0.02081564,-0.0039479155,0.020688629,-0.001469443,-0.0025384496,0.010457213,-0.006985587,-0.03567589,-0.015721101,-0.03505495,-0.023750996,0.032514736,0.020857977,0.004688811,-0.02647467,0.017075881,0.0011263378,-0.005740177,0.0045653284,0.024047354,0.032994553,-0.015368292,-0.014521554,0.013202054,0.009610475,-0.0060577034,-0.0006399045,-0.007225496,0.0013556627,0.019983014,-0.022367993,-0.011056986,-0.011607365,0.021888174,-0.011621477,0.028605627,0.0012956854,0.015946897,-0.022001073,0.031780895,-0.0008780495,-0.0074654054,-0.011840218,0.0046041375,0.023863895,-0.013194998,-0.009434071,0.0333897,0.0008740804,-0.003272289,-0.015565864,-0.007267833,0.020589843,-0.002226215,-0.016666625,0.0028224597,0.008086347,-0.030002745,0.004688811,0.00692561,-0.021351907,0.019376185,-0.028055247,-0.029861622,-0.005535549,0.0025896067,-0.021168448,0.02370866,0.009229443,0.030087419,0.02493643,0.006978531,0.009010702,-0.005394426,-0.010344314,-0.013491357,-0.033671945,0.009278836,-0.0068091834,-0.03333325,0.0036303885,0.004646474,-0.014535666,-0.001090175,0.017019432,-0.007726483,-0.018854031,0.017075881,0.015735213,-0.010040901,0.0043642283,-0.011677926,0.040389396,0.0068479925,-0.0007505978,-0.012341204,-0.027434306,-0.009829216,-0.0051157083,-0.002123901,-0.018642345,0.002459068,-0.047078624,-0.0039549717,0.001756981,-0.014465105,0.018120192,1.1045905e-05,-0.033135675,0.007853494,-0.00017938053,0.006414039,-0.020293485,0.00083747663,-0.013350233,-0.033813067,-7.2490904e-05,0.0006002137,-0.009074208,-0.006788015,-0.035817012,0.015636427,-0.017174667,0.020519283,-0.010788852,0.009603419,0.014634453,0.00013561036,-0.0027571903,-0.0039973087,0.011621477,-0.009130657,0.0058566034,0.016723074,0.0048581585,0.023990905,-0.014733238,0.004022005,-0.0054685157,-0.025486808,-0.02149303,-0.0023250012,0.011515634,0.018642345,-0.016807748,0.037115343,-0.022579677,-0.0027571903,-0.02567027,0.007458349,0.026996825,-0.009419959,0.026008964,0.022833697,0.0043360037,-0.0166384,0.00026482609,-0.18221799,0.0032423004,0.035817012,-0.011416849,0.0002452012,0.0073313387,0.042619143,0.0029547622,-0.01108521,0.0034963216,-0.016398491,-0.0028753805,-0.038639475,0.02167649,0.010626561,0.030510787,-0.002266788,0.016624287,0.0057331207,0.023003044,0.037425816,-0.013526637,0.030341439,0.0070984857,0.009864497,-0.00859439,-0.034716252,0.04185708,-0.0021062605,-0.020081801,-0.011205165,-0.0071831592,0.018275427,-0.0014562127,-0.017555699,-0.021239009,-0.014916698,-0.018571785,-0.02229743,0.02217042,0.00945524,-0.0058142664,0.014055848,-0.011924891,-0.0022809003,0.028732637,-0.00019117753,0.009292948,0.0127575165,-0.0069361944,0.020053577,-0.04747377,0.023426414,-0.0027871788,0.02149303,0.020759191,0.016850084,0.020180587,-0.008799018,-0.016045684,-0.0041490155,-0.012376484,0.011198109,-0.030397888,-0.047050398,-0.005980086,-0.027448418,0.006452848,-0.012708124,0.03728469,0.005630807,0.0044700704,-5.107439e-05,-0.030482562,0.01529773,0.0076065282,-0.024710633,0.01780972,0.024682408,-0.0025737304,-0.00868612,0.025500922,-0.018868143,-0.006601027,-0.0034292883,-0.0070420364,0.0057260646,0.0058601312,-0.0008308615,-0.012785741,0.0077547077,-0.026728692,0.0061070966,-0.031837344,0.008086347,0.012193025,0.013110325,-0.01984189,0.038583025,0.0033992997,0.0065692742,0.010259641,-0.0012189498,0.01161442,0.018557671,0.007225496,-0.002222687,0.028464504,0.043550555,0.005447347,-0.035337195,0.011557971,0.021210784,-0.0003259059,0.00899659,0.029720498,0.029212456,0.0068056555,0.000354792,0.0023003046,0.031667996,0.014719127,0.00036934527,-0.019672545,0.004018477,-0.015975121,-0.093875,-0.015241281,0.017174667,-0.0034804454,0.013322009,0.01915039,-0.0047170357,0.0037785678,0.008552053,0.034236435,-0.027688328,-0.010598336,-0.0063223094,-0.009723374,0.040925667,0.027787114,-0.019870115,0.004773485,0.023863895,0.041433707,-0.0143663185,-0.026742803,0.0141334655,-0.01658195,0.011536803,-0.001570875,-0.0333897,0.031272855,0.019474972,0.03322035,0.020491058,-0.039768457,0.04236512,7.2105024e-05,-0.01081002,-0.033446148,-0.0071020136,-0.013343177,-0.0018187223,-0.06271505,0.013300841,0.01958787,0.041066788,-0.035704114,0.023130056,-0.027349632,-0.015424741,0.033446148,0.017880281,-0.010062069,-0.03751049,-0.008149852,-0.010421933,-8.7319844e-05,0.022833697,-0.002693685,-0.009737486,-0.0057684015,-0.052864667,-0.008544996,-0.018585896,-0.025077552,-0.029494701,0.028422168,0.005256831,0.026883926,-0.03223249,-0.0077547077,0.016370267,-0.0042830827,-0.039937805,0.02506344,-0.02013825,0.008192189,-0.030002745,5.8847177e-06,0.010252585,-0.009518745,0.030059194,-0.005105124,-0.01194606,-0.023623986,0.026629904,0.0008917208,0.025134,0.006230579,-0.007027924,0.02173294,-0.0025172813,-0.019347962,0.024950542,0.03745404,-0.0007682382,-0.010005619,-0.0062411637,0.018289538,0.007733539,0.013886501,-0.035196073,-0.0051439325,-0.04377635,-0.019362073,-0.071013086,0.033559047,0.012764573,0.0218035,-0.025232788,-0.0020568676,0.0059165806,-0.01817664,-0.01768271,-0.01958787,0.0043395315,0.002743078,-0.02310183,0.003039436,-0.0044700704,-0.0018769356,0.007260777,0.0002606365,0.030736584,-0.012736348,-0.008855468,-0.003229952,0.018825807,0.02222687,-0.0077758757,-0.011600308,0.006092984,0.011367455,-0.013230279,-0.020152362,0.03917574,0.0033851874,0.002651348,0.026601681,0.020829752,-0.025373911,-0.009554026,0.0033887154,0.023567537,-0.0057225367,-0.0022473836,-0.01909394,0.0008683473,-0.023482863,-0.009412903,0.007980505,-0.015043709,0.0048017097,0.011713207,-0.00030782452,0.00246436,0.007338395,-0.007719427,-0.017640373,0.006611611,-0.03290988,0.00017761649,0.011423904,0.02228332,-0.00018235734,0.005062787,0.035901688,0.031301077,0.0063928706,-0.009596363,-0.015862223,-0.001277163,-0.0012383541,0.023849782,-0.025896065,-0.022057522,-0.010471325,-0.0075571355,0.01590456,0.006459904,-0.016398491,0.016200919,0.0023973268,-0.0019527891,-0.018331876,0.0062517477,-0.018628234,-0.023115942,0.038695924,-0.003046492,0.01289864,-0.0061388495,0.011028761,-0.01157914,0.01053483,-0.026601681,-0.009702205,-0.015043709,-0.00529564,-0.014888474,0.024160253,6.642703e-05,-0.013928837,0.015198944,0.017654486,-0.0041419594,-0.0031258739,-0.01601746,-0.020307597,-0.02044872,0.024230814,0.0068056555,-0.013695985,0.0151283825,0.004445374,-0.016243255,0.0029371218,-0.010153798,0.026827477,-0.018120192,0.0058283787,0.014253421,3.8671005e-05,-0.002365574,0.019249175,0.023581648,0.017358126,-0.0010249057,-0.002698977,0.011191052,-0.012976257,0.0066715884,0.001898104,-0.00683388,0.013512525,0.0003750784,-0.0049463604,-0.0027554263,-0.026545232,-0.021845838,0.0068127117,-0.040389396,0.013844164,-0.015043709,0.104431,-0.001368893,-0.008834299,-0.00930706,-0.020745078,0.038978167,0.0036374447,0.006311725,-0.0024961128,-0.031047055,0.018289538,0.005260359,-0.033361472,-0.048885,-0.007924056,0.0065657464,-0.014521554,-0.0032687609,-0.012044846,-0.012729292,-0.0039055783,-0.0062341075,0.033502597,0.0125246635,-0.00896131,-0.006978531,0.0075077424,-0.00025975448,-0.030341439,-0.014048792,-0.0183601,0.0019968902,-0.0024537758,-0.016596062,0.006015367,0.0032475924,-0.020829752,-0.0017411046,0.010788852,0.009956227,-0.021323683,0.009554026,-0.005920109,-0.0014526846,-0.0031593905,0.0070314524,0.011268671,-0.019122165,-0.021380132]','plot a line chart of conflict events by month for Chad using HDX data as an image','{"mem_type": "memory", "custom_id": "d6a8d3fa-9288-4643-a2b6-0a03a1e510cd"}','d6a8d3fa-9288-4643-a2b6-0a03a1e510cd','a2a85c48-10e7-4e61-b9d1-4b195a60dbf6'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.020104934,0.0023036902,-0.013598753,-0.018387638,-0.0063386383,0.016544685,-0.03459724,0.003867407,0.011253178,-0.007832547,0.0057138503,0.02810502,0.0047120936,0.004904068,-0.0056998883,0.019658158,0.010052467,-0.019350998,0.029766468,-0.019211382,-0.011532413,0.012007113,0.021221874,-0.0014240994,0.0011274121,0.019350998,0.007706891,-0.039344236,-0.0004755724,-0.00912401,0.013138015,-0.0035427962,-0.0038813688,-0.02564775,-0.017801244,0.0074206744,-0.0071414392,-0.004181547,0.013612715,-0.0012862271,0.0061955308,0.002530569,0.0030419184,-0.00067801797,-0.003445064,0.023260292,0.02372103,-0.0101083135,-0.026080566,0.030771716,0.0097871935,0.018778566,-0.004785393,-0.011644107,0.03200035,0.025675673,0.00046161065,-0.017019385,0.0012338705,-0.01318688,0.007979145,-0.0064887274,-0.016042061,0.0015628445,-0.037668828,-0.03610511,-0.016139794,0.01055509,0.0061082696,0.021291682,0.025005512,0.036998663,-0.008816851,0.00083945075,0.020523787,0.00062609767,-0.022520319,-0.015064738,0.016209602,-0.0067923954,0.02890084,-0.036300573,-0.007026255,0.009242685,0.024070073,-0.013919873,-0.022520319,0.043839924,0.010359625,-0.010066428,0.015371896,0.004907558,0.026583187,-0.0047644502,-0.00651316,0.002968619,-0.0135778105,0.028509911,0.010492262,-0.036831122,-0.0030105044,-0.0024258557,-0.015330011,-0.0108482875,-0.023399908,0.011378834,0.00052923796,0.0066807014,0.0073229424,-0.01500889,-0.018234057,0.023316137,0.009745308,-0.021249797,-0.0037626938,-0.031302266,0.013117072,-0.0026440083,-0.005539328,-0.025368515,0.003912783,0.01770351,-0.0032129497,0.0029197528,0.012090883,0.011797687,-0.01729862,-0.040209867,0.00944513,-0.009075143,0.00045157562,0.00018913821,0.0009607435,-0.0070367265,-0.004359559,0.035825875,-0.028565757,0.014366649,-0.021640727,-0.025605865,0.012244463,0.014408534,0.02763032,-0.00841196,-0.005459048,0.033675764,0.01889026,0.009591728,-0.012921607,-0.022227122,0.010722632,-0.0179269,0.022953132,-0.01770351,-0.011567318,0.005640551,-0.009061182,0.0043700305,-0.0077627376,-0.0021919962,-0.022282967,-0.0036859042,0.003867407,0.02198977,0.009654556,0.0315815,-0.0214313,-0.01729862,0.0010532403,0.011595241,0.00975927,0.037026584,-0.024139881,0.0014624943,0.019434769,0.012663315,-0.0032618158,0.020495864,-0.036523964,-0.00010345881,-0.013312536,0.031944506,0.025187012,0.007734814,-0.02175242,-0.007288038,0.02293917,-0.034262158,0.001984315,-0.012251444,0.0063805236,-0.004342107,0.0057138503,0.001603857,-0.6406772,-0.021445263,0.0050995327,-0.009054201,0.027043926,0.010541128,-0.0016876275,-0.005982614,-0.046157576,0.027993325,0.0024223654,0.038590305,0.0024223654,-0.038506534,0.005958181,-0.017033346,-0.03532325,0.0016858823,-0.008788927,0.029766468,0.018303867,0.011944286,-0.009130991,0.0024817027,0.0007927661,0.02595491,0.035546638,-0.0049808575,0.0035916623,0.028928764,-0.018206134,0.008977411,0.004767941,-0.0005541073,0.041047573,-0.025996795,-0.016768074,0.019588348,0.028872916,0.0461855,-0.023511603,0.006527122,0.013570829,0.013891949,-0.017717473,0.0057766777,-0.007958203,-0.00880987,0.009319474,-0.019867584,0.01667034,-0.0009764505,-0.01103677,-0.0013429468,-0.0033228984,0.009857002,0.0021291682,0.017159002,0.011762782,-0.0074904836,-0.0116510885,-0.004984348,-0.030297017,0.0031064914,-0.019001955,0.02395838,-0.020453978,0.022241082,0.0069773886,-0.021221874,-0.0024031678,0.011853534,-0.016432991,-0.017438237,0.021850154,0.029598927,0.010143219,-0.032782212,-0.0006282792,0.0026073586,0.031413957,-0.012286348,-0.026778653,0.014939082,0.00698786,0.0036614712,-0.033145215,-0.0006836899,0.015623208,0.020970562,-0.0011422464,-0.0004140534,0.005441596,-0.030548329,-0.013193862,0.03666358,-0.008572521,0.009891907,0.008279324,-0.029794393,-0.03247505,0.008460826,0.007867452,-0.0004103448,0.047805063,0.018373676,-0.010010581,0.0012469597,0.026778653,-0.034094617,-0.022659935,-0.016656378,-0.025829254,-0.0051658507,0.0122305015,-0.033955,0.019616272,0.0015174687,0.0092077805,-0.0016160735,0.04601796,-0.0048761447,0.03264259,-0.021794306,0.008837794,0.015078699,0.017033346,0.0040209866,-0.004111738,0.005644041,0.009117029,0.019183457,0.018778566,-0.01951854,0.018583102,-0.0054485765,0.00019917321,0.007658025,-0.016377144,-0.016139794,-0.015274164,0.0188763,0.00055585254,-0.0035026562,0.00091973087,-0.01785709,0.0056824363,0.011413738,0.0165028,0.008663272,-0.013333479,-0.014017605,0.00452361,0.009459092,0.021375453,-0.004635304,0.015734904,-0.0073508658,0.008851755,-0.018541217,-0.0060279896,0.009137971,-0.007958203,0.008991373,0.011120541,-0.009005335,0.00032482904,0.03610511,0.016600532,-0.025913024,-0.0032513444,-0.027742013,-0.03191658,0.03135811,0.0015227044,0.028844994,-0.020803021,-0.012991416,0.013061225,-0.027728053,0.02937554,0.0013062971,-0.005277545,-0.021375453,0.01761974,0.003937216,-0.005340373,0.003087294,-0.0024799574,0.021152066,-0.02517305,0.01690769,-0.013124052,0.012656334,-0.0007094319,0.027769938,-0.029487234,0.016600532,0.011015828,0.022199197,0.045040637,0.016307335,0.01230031,0.03032494,0.022981055,-0.025661713,0.004907558,-0.038534455,-0.008712138,0.018038593,0.01626545,-0.042583365,-0.008000088,-0.01824802,-0.0017993216,-0.004809826,0.0101083135,-0.018108401,-0.03032494,-0.020970562,0.0005667602,-0.01397572,0.025661713,-0.009130991,0.00722521,-0.008028012,0.0020262003,0.014227032,-0.0047086035,-0.026652997,-0.0055602705,0.01126714,-0.020705288,0.0028691415,0.023902532,0.008544597,-0.00020222734,0.0015898952,0.021403378,0.014603999,-0.00075088086,-0.012265406,-0.0021396396,-0.0136546,-0.010275855,0.0036859042,0.014590038,-0.00793726,-0.017228812,0.0130961295,-0.0038953307,0.020021163,-0.013012359,0.012146731,0.01801067,-0.022520319,-0.006296753,0.009298531,0.030380787,0.030464558,0.03803183,-0.017186927,0.011316006,-0.0068238094,-0.017270697,-0.020607557,-0.038757846,0.013075187,-0.022087503,-0.0028394728,-0.01586056,-0.009577767,0.010129256,-0.009082125,0.0074206744,-0.02207354,0.029012535,0.0043700305,0.011078656,0.014617961,-0.014757579,-0.026583187,0.014562114,0.008041973,-0.00093718304,-0.049955174,-0.02189204,-0.0065864595,0.0050855707,0.0010480046,0.026932232,0.004897087,0.018541217,-0.01619564,-0.004907558,0.015665093,0.015525475,-0.011832591,0.009040239,0.020118896,-0.00404542,0.003492185,-0.0026230656,-0.023748953,0.026136411,-0.0021937415,-0.01055509,-0.024865894,0.0023298685,-0.005846487,-0.0008311609,-0.010150199,-0.026387723,0.013012359,-0.00121031,0.00018564778,-0.015916405,0.0093683405,0.025787368,0.002411894,0.0024101487,-0.03325691,-0.033061445,-0.0041536232,0.06450333,0.024698352,0.009110048,-0.01801067,-0.013884969,0.00017528553,-0.019881545,-0.017661626,0.020202667,0.012670295,0.010638861,0.0020104933,-0.008397998,0.00674702,0.0076719862,-0.01563717,-0.011672031,-0.008272342,0.013333479,-0.0104294345,-0.027420893,-0.013117072,0.008391017,-5.298378e-05,0.013528944,-0.005644041,0.019588348,0.038674075,0.007518407,0.007392751,-0.011399777,0.019588348,-0.0059651616,0.026694883,-0.006164117,0.025829254,0.008293285,-0.0097871935,0.02698808,0.0006492218,0.021487148,0.0008049826,-0.0070855925,-0.0022234102,0.028356332,0.022157311,-0.007811604,0.009312494,-0.021487148,0.010226989,0.01689373,-0.011574298,-0.028160866,-0.0067121154,-0.016544685,0.019937392,-0.003612605,-0.009019297,0.00667023,0.001559354,-0.022422586,-0.0079232985,0.023190482,-0.017549932,-0.0073648277,0.00017048616,-0.033061445,-0.010813382,-0.011420719,0.00067976315,-0.014171185,-0.034234233,-0.008754023,0.015204355,0.0084049795,0.0033298794,0.0061396835,-0.019169496,0.009221742,-0.021794306,-0.021487148,0.01579075,-0.019057801,-0.02087283,-0.016237525,-0.01453419,-0.008446865,-0.01445042,-0.01801067,0.033480298,0.013843084,-0.024321385,0.006296753,-0.013857045,-0.025926985,-0.010150199,0.0080838585,0.02302294,0.012028055,-0.0020104933,0.01809444,-0.027490702,-0.02205958,-0.027365046,0.0099477535,-0.011364873,0.01094602,0.010596976,-0.019448731,-0.007267095,0.01794086,-0.0061082696,-0.013061225,-0.013291594,0.009319474,0.0068726754,0.010499243,0.007797642,-0.0071344585,0.00066187466,-0.0012286349,0.02341387,-0.008607425,-0.005658003,-0.018750643,0.010652822,0.0074835024,-0.016530722,-0.034820627,-0.024111958,-0.0017801241,0.014394573,-0.002015729,-0.015986215,-0.028817069,0.00667023,-0.020272475,0.0017364937,-0.010736593,-0.03183281,-0.002523588,0.013864026,-0.0037766558,-0.012439928,-0.0027574475,-0.021864114,-0.008523654,0.020677365,0.0005013144,-0.010261893,-0.0072531337,-0.015497552,-0.012370119,-0.025228897,-0.021794306,-0.019853622,-0.027323162,0.026541302,0.015595284,0.028495949,0.029431388,0.03571418,0.027811823,-0.01055509,-0.007797642,0.0027557022,0.0069459747,-0.006733058,-0.018555177,0.00071379496,0.010373587,-0.0012469597,0.0007264478,-0.009326455,-0.009291551,0.0010296798,-0.0036265668,-0.02111018,0.0029057912,-0.020565672,-0.0165028,0.024405155,-0.0129006645,-0.0010349154,-0.05199359,-0.010338683,0.05785753,0.00023407761,0.014813426,0.014108357,-0.008384037,0.0014520229,0.0315815,0.015497552,-0.005745264,0.012153711,-0.0006522759,-0.011288082,0.022324853,0.021179989,0.013703465,0.024433078,0.0061536455,0.0029424408,0.00034773507,0.012558603,0.0009965206,0.025619827,0.0025672186,-0.008698176,-0.01667034,-0.015832635,-0.017675588,-0.0058709197,0.013696485,0.018289905,-0.020998485,0.019616272,-0.012586525,-0.026541302,-0.014101376,-0.00841196,0.037892215,-0.0058046016,0.016014138,0.02292521,0.0017775064,-0.017745396,0.009975677,-0.022394663,0.009647576,0.01865291,0.051351346,-0.036160957,-0.031776965,-0.0142828785,0.014603999,0.014659846,-0.02189204,0.011295063,0.019769851,0.016614493,-0.008607425,-0.010450377,-0.030157398,0.004293241,-0.00037893088,-0.011532413,0.031023027,-0.016432991,-0.0038953307,0.015832635,-0.04752583,0.02771409,-0.00848875,-0.010492262,0.0017775064,-0.0045096483,-0.025675673,0.021919962,-0.0045061577,0.020900754,0.001671048,0.026429608,0.028789146,0.012907646,0.016377144,8.24071e-05,-0.005110004,0.03001778,-0.014771541,-0.0017958311,0.02341387,-0.0036160955,0.012509736,-0.004579457,-0.016795997,-0.018499332,9.4841795e-05,-0.005329902,0.024796085,-0.020174742,0.0123910615,-0.00651316,-0.005846487,-0.01286576,-0.0076999096,-0.002753957,0.001975589,-0.00722521,-0.009298531,0.014254956,0.008076878,0.0022635502,0.013535925,-0.024865894,0.0034555353,0.028956687,-0.01897403,0.025913024,0.020886792,0.0023159068,-0.0325309,0.002507881,-0.032977674,0.00050742266,0.010066428,-0.012042018,-0.03113472,-0.035462867,-0.011050733,0.02803521,0.029012535,0.00020309996,0.0111694075,0.007043707,-0.01301934,-0.021906,-0.02126376,0.024461003,-0.04596211,0.010862249,-0.009089106,-0.010694708,0.024782123,-0.041633967,-0.012293329,0.0079232985,-0.00778368,-0.020761136,-0.0029075365,0.016782034,-0.014324764,0.00928457,-0.018345753,-0.027099773,-0.019895507,0.020202667,-9.9532066e-05,-0.00706465,0.04791676,0.0013124053,-0.020928677,0.0003728226,-0.017829167,-0.027811823,-0.0022984548,-0.004279279,0.00030039597,-0.0035846815,0.014352688,0.030464558,0.027518626,-0.020761136,-0.027839746,-0.01928119,-0.029515158,-0.017131079,-0.021640727,0.005549799,0.022171274,0.022785591,-0.0066911727,0.016153757,0.006254868,-0.0010087371,-0.0070402166,-0.0027679189,0.036272652,-0.028565757,0.015553399,-0.010485281,0.0076021776,-0.012816894,0.011483547,-0.00011354836,0.020928677,0.038450684,-0.010918096,-0.0109111145,-0.012502756,-0.013291594,-0.007019274,0.00051527616,-0.024307422,-0.031078875,0.004185037,0.0007207758,0.007595197,-0.019644195,-0.008635349,-0.00999662,0.0003728226,-0.029961934,-0.018527254,0.008160648,-0.013075187,-0.0282586,0.004938972,0.0009921575,0.015497552,0.048223916,0.024558734,0.00021957047,-0.01824802,0.01468777,-0.007239172,-0.03459724,-0.0149251195,-0.015399819,0.031162646,-0.013996663,0.027560512,-0.017200887,0.010708669,-0.0063526,-0.027560512,-0.035351176,0.03010155,-0.008181591,-0.0048133167,-0.019057801,0.015679056,-0.017396351,0.0031623382,0.005029724,0.027197506,-0.027839746,0.012174654,0.0008189444,0.0155394375,-0.002546276,0.004673699,0.0030593704,-0.009891907,0.03373161,0.18518877,0.0036300572,0.011462605,0.020886792,-0.02031436,0.019113649,-0.009877944,-0.003429357,0.025843214,0.01761974,-0.0049948194,0.022743706,-0.0065724975,0.0014171186,0.011790706,-0.017982746,-0.04222036,-0.017675588,-0.0258851,-0.011769763,0.011518451,0.023944417,-0.013068206,-0.02612245,0.0036789235,0.022506356,-0.012356157,0.0044433298,0.029654775,0.0037941078,-0.0035689746,-0.0330056,0.008781946,0.015525475,-0.012083903,-0.0039023114,-0.016377144,-0.010959981,0.02937554,0.0015776787,0.0010584759,0.0042339037,0.0031623382,-0.013766293,0.009696442,0.008209514,0.0065236315,-0.022338815,0.006890128,-0.0066981534,-0.02324633,-0.010987905,0.0017905955,0.0093683405,-0.00034031787,-0.011364873,0.030380787,0.0023543017,-0.0019302131,-0.007567273,0.005609137,0.018178212,-0.0020837926,-0.0024642504,-0.0026091037,0.005612627,-0.014911158,0.010045486,0.014939082,-0.00849573,0.007804623,-0.010506224,-0.01889026,-0.014338726,-0.011699954,-0.024321385,0.009661538,0.022422586,0.021794306,0.03247505,0.0012408514,0.0028063136,0.004795864,0.006575988,-0.018764604,-0.035211556,0.007630101,-0.00030955838,-0.034569316,-3.422267e-05,-0.0053822584,-0.0066737207,-0.006638816,0.020426054,-0.010352644,-0.012558603,0.017549932,0.028649528,-0.010401511,-0.0024171297,-0.015804712,0.021850154,0.007567273,-0.007169363,-0.00035122552,-0.022101466,-0.025312668,-9.653248e-05,0.0040663625,-0.028761223,-0.0016230544,-0.034848552,0.003160593,0.0016230544,-0.018261982,0.0016631945,0.01063188,-0.024111958,-0.016782034,0.006083837,-0.0060594035,-0.022031656,0.008558558,-0.00063264224,-0.022394663,-0.018736681,-0.030827563,-0.0066004214,-0.014408534,-0.02707185,0.014729655,-0.021780344,0.024377232,-0.025550017,0.00991983,0.021249797,-0.01103677,-0.022757668,-0.009410226,0.014729655,-0.007706891,-0.009214761,0.0015532457,0.005015762,0.009235703,-0.0038045791,0.003874388,0.014548153,-0.027281277,-0.023176521,-0.010024543,-0.004624833,0.0034433187,-0.019211382,0.042946372,-0.017885014,-0.004966896,-0.036942814,0.025857177,-0.0010863994,-0.0039267447,0.024377232,0.010569052,0.0048028454,-0.023371985,0.0017495828,-0.18005085,0.0017120606,0.019560425,-0.009857002,0.004938972,-0.007218229,0.026429608,0.0056614936,0.00032897395,-0.0012495775,-0.013961758,-0.0053124493,-0.045096483,0.009696442,0.014897197,0.00650967,0.007232191,0.022953132,0.025843214,0.030185321,0.041941125,-0.013473097,0.029012535,0.0021553466,0.0048447307,0.0042339037,-0.027923517,0.04911747,-0.0035550129,-0.021933924,-0.016446952,-0.02165469,0.013675543,-0.013249708,-0.011134503,-0.0153439725,-0.020830944,-0.01667034,-0.02365122,0.027742013,0.014590038,0.0063875043,-0.0021274232,-0.00404542,0.00052182074,0.036468115,0.005706869,-0.009724366,0.028356332,-0.003143141,0.019239305,-0.039009158,0.031106798,0.006534103,0.015497552,0.010520185,0.009061182,0.014827387,0.0018342261,0.00066274725,-0.0188763,-0.024614582,0.021068295,-0.010953,-0.03563041,-0.029738545,-0.036998663,-0.0004485215,-0.0070716306,0.007853489,-0.023134636,-0.0032932297,-0.009431168,-0.03730582,0.024377232,0.015776789,-0.03135811,-0.0029668738,0.022366738,0.006677211,9.260573e-05,0.04411916,-0.0066283448,-0.004076834,0.0052600927,-0.018206134,0.0067854146,0.011022809,-0.0109739425,-0.011797687,0.005277545,-0.011211293,0.00261783,-0.02300898,0.011434681,0.021766383,0.009214761,-0.01468777,0.024796085,0.01119035,0.006157136,0.012544641,-0.030297017,0.0065480648,0.031413957,0.01294255,-0.00053578254,0.02166865,0.039567627,0.014590038,-0.036356423,0.013131034,0.013612715,-0.0025986324,0.012809914,0.005724321,0.017270697,0.004331636,-0.010415472,0.004579457,0.017912937,0.0008189444,0.014422497,0.010834325,-0.0048202975,-0.011672031,-0.10119482,-0.0066108927,0.018429521,0.006223454,-0.0023717538,0.024181766,0.010764517,0.0056998883,0.0022356268,0.03174904,-0.021947885,-0.01968608,0.0029023008,0.00044764887,0.048140146,0.02063548,-0.010380568,-0.00849573,0.03200035,0.03261467,-0.0021588372,-0.030520404,0.017256735,-0.007972165,0.0057347924,-0.005546309,-0.020998485,0.02525682,0.013466116,0.021277722,0.024572697,-0.025480209,0.030269092,-0.0038778784,-0.02126376,-0.025117205,-0.0043386165,-0.0027906066,0.0022356268,-0.05813676,0.016069986,0.021808269,0.044873096,-0.008467807,0.017591817,-0.027113736,-0.03127434,0.033228986,0.002666696,-0.00206285,-0.013724408,-0.018457446,0.0006138811,-0.010164161,0.010527167,-0.035602488,-0.0066946633,-0.011399777,-0.04135473,0.0026789126,-0.014136281,-0.017522007,-0.030520404,0.036384344,0.014164204,0.003404924,-0.042332053,-0.01618168,0.024530811,-0.0007591707,-0.04769337,0.042332053,-0.022883324,0.0012242717,-0.030604174,0.003563739,-0.013361403,0.015302087,0.015706979,-0.014352688,-0.009354379,-0.028160866,0.0153439725,-0.00011671158,0.0034747326,0.0056300797,-0.0050052907,0.00944513,-0.007874432,-0.020495864,0.04548741,0.027909555,0.0033857264,0.0025445307,-0.0025689637,0.028091058,0.012481813,0.020747174,-0.0233301,0.004938972,-0.031441882,-0.010192084,-0.062492833,0.02309275,0.02596887,0.01110658,-0.018932145,0.0028970651,0.0027783902,-0.0008202533,-0.015762826,-0.01166505,-0.003919764,0.002485193,-0.03191658,0.010303779,-0.007113516,-0.026010755,0.004411916,0.015734904,0.038338993,0.010548109,0.0027190526,0.0014904179,0.016056024,0.011162426,-0.010017563,-0.007015784,0.014492305,0.017340505,-0.007825566,-0.02395838,0.043812,-0.00762312,0.00404891,0.021487148,0.018555177,-0.025284745,-0.009347398,-0.011218274,0.03032494,0.004785393,-0.012984435,-0.0132566895,-0.004237394,-0.020816984,-0.008663272,-0.00025262058,0.005403201,-0.011288082,0.00659344,-0.0012181635,0.010408492,0.006952956,-0.02221316,-0.010136237,-0.010289817,-0.032810133,0.002013984,0.01667034,0.016139794,-0.014953043,0.014953043,0.02945931,0.023553489,0.0069424845,-0.004244375,-0.008537616,-0.013633657,0.0013115328,0.018708758,-0.03308937,-0.030185321,-0.0010785459,0.0049878387,0.015399819,0.010254912,-0.019560425,0.0008385781,0.009989639,0.004108248,-0.008740061,0.009808136,-0.011441662,-0.03532325,0.04314184,0.0069040894,0.015846597,-0.009417207,0.02087283,-0.012035036,0.0055881944,-0.030911334,-0.0004360868,-0.011769763,0.0052286787,-0.0020576143,0.0179269,-0.001659704,-0.03105095,0.022785591,0.021291682,0.0032373827,-0.0027906066,-0.011120541,-0.026722806,-0.015818674,0.009117029,0.008258381,-0.021836191,0.0031954974,0.009473054,-0.0055428185,0.016614493,-0.014911158,0.01278199,-0.015148508,0.004516629,0.019350998,0.0016213092,-0.008467807,0.027351085,0.027560512,0.006876166,-0.003588172,-0.005609137,0.02205958,-0.014939082,0.017354466,-0.0073857703,0.0071030445,-0.017982746,-0.0062758108,-0.00033595483,-0.01253766,-0.019099686,-0.0069983313,-0.0066946633,-0.025982833,0.002649244,0.014729655,0.08645122,-0.005469519,-0.01468777,-0.011483547,-0.024544774,0.020691328,0.01119035,0.019113649,-0.0029546574,-0.040349483,0.038897462,0.0068831467,-0.011225254,-0.029180076,-0.025899062,0.012991416,-0.009221742,0.008537616,9.036967e-05,0.0006300244,-0.0045061577,-0.010066428,0.02556398,0.009333436,-0.007232191,-0.00080323743,0.021124141,0.0060419515,-0.018541217,-0.02229693,-0.007343885,0.0058115823,0.020789059,-0.01731258,0.010722632,0.0052147172,-0.02564775,0.005277545,0.009249666,0.016042061,-0.01396874,0.015888482,-0.011692974,-0.012593506,-0.021808269,0.0036824138,0.0014790739,-0.01531605,-0.027113736]','plot a line chart of fatalities by month for a country using HDX data as an image','{"mem_type": "recipe", "custom_id": "015b18de-e58d-4929-ab94-ad58831c1736"}','015b18de-e58d-4929-ab94-ad58831c1736','05c742f1-e9c6-4826-bf18-ef7a368e6ed7'), + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.015021892,0.009637625,-0.017241035,-0.016401744,-0.0019541972,0.021337915,-0.023315229,-0.004495187,0.004868601,-0.0065222895,0.010114172,0.039375566,0.010284875,0.011678952,-0.0006739225,0.011757191,0.008577841,-0.017497089,0.026501691,-0.022717766,-0.01566203,0.00965185,0.022760442,-0.00033985075,0.004224907,0.015761606,0.0034371824,-0.031011103,0.0028041576,-0.015036117,0.019403277,0.0024787544,-0.010441353,-0.02680042,-0.030783499,0.010348888,-0.0133219715,-0.005394936,0.012063035,-0.0028468333,0.007994605,-0.012447117,0.0024289659,0.007098413,-0.007909253,0.012134161,0.015221046,-0.016330617,-0.03206377,0.029190268,0.015818506,0.015377524,-0.012767185,-0.011927894,0.032206025,0.0257193,-0.00041808977,-0.0040293094,0.0041431114,-0.019047644,-0.0032629229,-0.0097585395,-0.013521126,0.007411369,-0.029048014,-0.031238707,-0.012831199,0.0007183765,0.014566683,0.022248331,0.021281013,0.029617026,-0.0049361708,-0.012468454,0.017269485,0.0023169417,-0.028877312,-0.015918083,0.017354837,-0.008051506,0.036871914,-0.045435533,-0.0072833416,0.021337915,0.028479004,-0.011899443,-0.014061686,0.046146795,0.008499603,-0.014580908,0.016145688,0.0038728316,0.030442093,-0.0026939118,0.008094182,0.012091485,-0.005160219,0.028891537,0.02345748,-0.026971124,-0.0051673315,-0.0009779877,-0.017241035,-0.008570729,-0.020071864,0.0021764673,0.010732971,0.0042995894,0.007589185,-0.016060336,-0.015775831,0.020142991,0.009025938,-0.020655101,-0.01310148,-0.03140941,0.010732971,-0.0043849414,-0.010690295,-0.030726597,0.0028343862,0.017710468,-0.006508064,0.0024769763,0.0098723415,0.0133219715,-0.0193606,-0.039119508,0.02237636,-0.0025890002,-0.0033162676,-0.0073615806,0.015121469,-0.0095167095,-0.0075749597,0.037469376,-0.032661233,0.022148754,-0.02469508,-0.01620259,0.0047868052,0.014132813,0.027170278,0.006319579,-0.0022991602,0.02722718,0.011771416,0.016159913,-0.00862763,-0.024794657,0.010875224,-0.019830035,0.027483234,-0.007909253,-0.0131512685,0.0019186342,-0.0129805645,-0.0021942488,-0.007923478,-0.00572923,-0.01601766,0.009239317,0.008314674,0.017952299,0.014836963,0.037953038,-0.015534002,-0.021124534,-0.0013851863,0.0047441297,0.0096020615,0.034937277,-0.012930776,0.0042853644,0.004196456,0.010277762,-0.0072833416,0.020953832,-0.035933048,-0.003508309,-0.013585139,0.017354837,0.028479004,0.0072015463,-0.024424799,-0.0019684224,0.022162981,-0.037042618,0.0007646086,-0.010491141,0.007816789,-0.0025641061,-0.0026121163,-0.0022209212,-0.6372924,-0.013905208,0.00054100505,-0.0063444735,0.021067634,0.018976519,-4.1231073e-05,-0.010178185,-0.04927636,0.03664431,0.0064013745,0.044013005,0.00056234293,-0.033173345,0.014054573,-0.023016497,-0.031836167,0.007446932,-0.0033696124,0.034197565,0.011885218,0.0011175732,-0.0010188854,0.002653014,4.539169e-06,0.025064938,0.0283083,-0.008350237,0.009509597,0.03303109,-0.01450267,0.006333804,0.0067676753,-0.001738151,0.03658741,-0.033258695,-0.0069846106,0.02523564,0.02933252,0.039375566,-0.02744056,0.005249127,0.010341776,0.004516525,-0.0068139075,0.02415452,-0.006728556,-0.009836778,0.0013185053,-0.029247168,0.015405974,-0.011885218,-0.012333315,-0.00453075,0.00094331364,-0.008826784,0.004416948,0.005394936,0.0042675827,-0.015263722,-0.013442886,-0.0025694405,-0.03456742,-0.0017754923,-0.01830793,0.022177206,-0.025918454,0.008826784,0.00086018466,-0.01707033,0.0005365596,0.011358883,-0.028393652,-0.017781595,0.019943837,0.01650132,0.005963947,-0.027028026,0.0027703727,0.0066929925,0.030954203,-0.013969221,-0.017340612,0.01002882,0.0055763084,-0.008506715,-0.043045685,-0.0006045742,0.010356001,0.015576678,0.0059497217,-0.0035456503,-0.0005058864,-0.027668163,-0.010448465,0.026658168,-0.0064618317,0.021721996,0.00034185118,-0.027653938,-0.032860387,0.006774788,0.011401559,0.0036149984,0.05146705,0.008378687,0.0033749468,2.7380878e-05,0.025932679,-0.027028026,-0.026217185,-0.009018825,-0.024823107,-0.0061844387,0.009346006,-0.03246208,0.0100003695,0.007880803,0.024396349,-0.013869645,0.054255206,-0.005647435,0.025548596,-0.024581278,0.010491141,0.0063231355,0.021750448,0.010804097,-0.0014483109,0.0049503963,0.008584954,0.013435774,0.024054943,-0.02798112,0.015093018,-0.0129663395,-0.0020431052,-0.0003609664,-0.022447485,-0.02421142,-0.0034336261,0.023229877,-0.00072415546,0.0031686802,-0.0076603116,-0.013094367,0.008976149,0.011742965,0.0032042435,0.008663193,-0.012575144,-0.015633577,-0.00069926126,0.020527074,0.025605498,-0.0042853644,0.020000739,-0.0097585395,0.0064013745,-0.016871177,-0.0014020788,0.015377524,-0.008158196,0.0023809555,0.011131279,-0.010491141,-0.0034585204,0.024083393,0.018222578,-0.016899629,-0.0041751186,-0.033287145,-0.03971697,0.026089158,0.0008219543,0.02499381,-0.02569085,-0.021935375,0.015235271,-0.019588206,0.02523564,0.019431727,-0.00347808,-0.025249865,0.021010732,0.0025338773,-0.0056687724,0.014524007,-0.0010837882,0.030214487,-0.025761975,0.022931146,-0.019118771,0.0127814105,0.008969037,0.020455947,-0.019019194,0.014865414,0.009367344,0.017923849,0.04170851,0.017184133,0.009111289,0.02029947,0.02550592,-0.026430564,0.004608989,-0.031238707,-0.011792754,0.011422897,0.01426084,-0.038322892,-0.0037127973,-0.009488259,-0.00559409,0.0016012327,0.0009824331,-0.025377894,-0.024467476,-0.019019194,0.010661844,-0.018379057,0.032234475,-0.016814277,0.011373108,-0.008449814,0.0022120303,0.017212585,-0.0005365596,-0.0205982,-0.0028610588,0.019232573,-0.020882705,0.010548042,0.026672393,0.00034696338,-0.0021142317,0.0032077997,0.013492675,0.011145504,0.0017843831,0.002018211,-0.0060350737,-0.003321602,-0.011963458,0.0014065242,0.016344842,-0.007702987,-0.015861183,0.005117543,0.00088907976,0.012639158,0.0010331107,0.016472869,0.019602431,-0.016785825,-0.007190877,0.00439561,0.035819244,0.026729295,0.033685453,-0.018592436,0.01566203,-0.0012162611,-0.0095736105,-0.012084372,-0.045577787,0.006717887,-0.016970754,0.00044098357,-0.0057363426,-0.012560919,0.0016012327,-0.011081491,0.009424245,-0.019261023,0.030612795,-0.0018599549,0.011437122,0.008883685,-0.011344658,-0.016216815,0.01391232,0.010818322,-0.003108223,-0.038835004,-0.018592436,0.0027454784,0.0042889207,0.011529586,0.011515361,0.0056189843,0.022959596,-0.006017292,-0.010576493,0.011757191,0.018350607,-0.02140904,0.00031917964,0.012134161,-0.011124166,0.0094171325,-0.007610523,-0.013243732,0.021636644,0.0022315902,-0.0057754624,-0.023471706,-0.014964991,0.0011913669,0.005782575,-0.008784108,-0.030015334,0.011337545,0.00034274024,-0.00065480726,-0.009289105,0.00283083,0.0333725,-0.0048010307,0.01132332,-0.030698147,-0.03664431,-0.0056438786,0.0723213,0.032803487,0.010149735,-0.01652977,-0.009865229,0.0038763878,-0.008449814,-0.009993256,0.021665096,0.008478264,0.00941002,-0.0052242326,-0.006006623,0.014780062,0.001482096,-0.016430194,-0.020370595,-0.0095593855,0.002341836,-0.0072620036,-0.031267155,-0.0068245763,0.0006725888,0.0036630088,0.010562267,0.004004415,0.016728925,0.035819244,0.0034336261,0.011081491,-0.020100316,0.033742353,-0.010882337,0.016828502,-0.00018481746,0.023870014,0.0006468055,-0.016913854,0.022731991,0.009481147,0.019232573,-0.00630891,-0.0005361151,-0.0056438786,0.020996507,0.01857821,-0.014623584,0.007702987,-0.016629348,-0.0043067024,0.022874244,-0.010235086,-0.037469376,0.0032967078,-0.017425964,0.00501441,-0.0036381145,-0.0069917236,-0.0019879823,0.010548042,-0.02625986,-0.010832548,0.020000739,-0.024268322,-0.01574738,0.01466626,-0.035762344,-0.013606477,-0.018265255,-0.0069099283,-0.013997672,-0.028706608,-0.009886567,0.014125699,0.010128397,-0.0027952667,0.012226625,-0.02111031,0.005928384,-0.02451015,-0.012546694,0.009296218,-0.01927525,-0.013862532,-0.013848307,-0.014865414,0.0012971674,-0.011714515,-0.020114541,0.02728408,0.025406344,-0.0333725,0.010683183,-0.025605498,-0.027895767,-0.0129805645,0.013905208,0.021238338,0.012440004,0.00029406312,0.01803765,-0.020399045,-0.017781595,-0.027113376,0.011280644,-0.0049112765,0.017411739,0.013051691,-0.021366365,-0.007994605,0.010683183,-0.0052775773,-0.014097249,-0.017866947,0.012212399,-0.0016394631,0.005821694,-0.0055798646,-0.0134642245,0.0066538732,0.007411369,0.015548227,-0.006198664,-0.0074398196,-0.016131463,0.0036149984,0.0042533576,-0.029019564,-0.040826544,-0.01224085,-0.0102991,0.01857821,-0.0037625856,-0.008471152,-0.027924217,-0.010220861,-0.02159397,0.006486726,-0.013172606,-0.031267155,-0.009836778,0.0099576935,-0.007411369,-0.01453112,-0.0074753826,-0.020000739,-0.01210571,0.018165678,0.012745848,-0.013257958,-0.010114172,-0.021480167,-0.007916366,-0.016344842,-0.026018031,-0.021707771,-0.024737755,0.02803802,0.023784662,0.026999574,0.03769698,0.022148754,0.026302537,-0.01172874,0.0041111046,0.00760341,-0.004349378,-0.009289105,-0.01863511,0.003965296,0.007831015,0.0045449757,-0.00083840225,-0.014104362,-0.002773929,0.012496905,-0.0016439086,-0.014751612,0.004146668,-0.024467476,-0.018649338,0.03234828,-0.004271139,0.0007366026,-0.05152395,-0.0066183098,0.056246743,0.009587836,0.012183949,0.012304864,-0.00668588,0.017824272,0.027269855,0.015093018,-0.0061026434,0.008620517,-0.00886946,-0.01172874,0.012390216,0.017127233,0.008634742,0.022774667,0.013762955,0.0057327864,0.0036487835,0.01569048,-0.0012224846,0.026871547,-0.0009646516,-0.01121663,-0.02162242,-0.019602431,-0.018933842,-0.013314859,0.014452881,0.021835798,-0.020953832,0.013300634,-0.01078276,-0.01827948,-0.013940771,-0.012326202,0.034652773,-0.0057221176,0.021650871,0.015477101,0.012084372,-0.008037281,0.0049077203,-0.018919617,0.017340612,0.016885402,0.045037225,-0.028934212,-0.015946534,-0.009587836,0.019445952,0.020114541,-0.024794657,0.010647619,0.0269569,0.008464039,-0.014708936,-0.015192595,-0.03035674,0.0041288864,-0.0023880682,-0.0076958747,0.027540136,-0.021096084,-0.0020484398,0.009196641,-0.0514386,0.022547062,-0.0066147535,-0.007681649,0.010754309,0.0023649521,-0.029787729,0.02210608,-0.006877921,0.017838497,-0.00016870289,0.017539766,0.026046481,0.020100316,0.011963458,-0.0033624996,-0.0073615806,0.03149476,-0.01067607,0.0005783464,0.015277947,-0.014047461,0.0044453987,-0.0064582755,-0.014979216,-0.020953832,-0.008883685,-0.0070592933,0.025904229,-0.02345748,0.0015016558,-0.010121284,-0.004961065,-0.014346192,-0.009438471,-0.008755658,0.0022369246,-0.01652977,-0.002953523,0.009986144,0.011166842,0.0017950521,0.023059173,-0.026444789,0.013215282,0.027639713,-0.014765837,0.035648543,0.018108776,-0.0019933167,-0.037355576,-0.00016981423,-0.021266788,0.005160219,-0.0029926426,-0.010718746,-0.03664431,-0.02620296,-0.002930407,0.029929982,0.019460177,0.0015229937,0.009523822,0.019858485,-0.005860814,-0.02029947,-0.021039184,0.019261023,-0.04105415,0.008136858,0.005003741,-0.004000859,0.03149476,-0.038265992,-0.0049432833,0.009346006,-0.0028699494,-0.019118771,0.001916856,0.004495187,-0.01002882,6.3458065e-05,-0.020271018,-0.022049177,-0.016216815,0.017383287,0.00051344355,-0.002843277,0.034197565,-0.006778344,-0.04318794,-0.0017505981,-0.017810045,-0.02795267,-0.005825251,0.0025160958,-0.008271998,-0.0021053408,0.0040328656,0.029617026,0.035420936,-0.022049177,-0.034652773,-0.028663931,-0.021906925,-0.014595134,-0.028251398,0.011586487,0.0244817,0.014979216,-0.010078608,0.018677788,0.0017141458,0.0072797853,-0.009118402,-0.009360231,0.027383657,-0.024353674,0.011195293,-0.007631861,0.004303146,-0.01361359,0.016330617,0.0005565639,0.035989948,0.03863585,-0.015320623,0.0066929925,-0.0132508455,-0.003197131,-0.015263722,-0.0035598755,-0.017938074,-0.032177575,0.00356521,0.00010252201,0.009751427,-0.005113987,-0.005334479,-0.011558037,0.0012171502,-0.030100685,-0.025377894,0.0065898593,-0.02005764,-0.014566683,0.00029028454,0.0019026308,0.014367529,0.041281752,0.028123371,0.00063924835,-0.013905208,0.018720463,-0.015605128,-0.029787729,-0.02451015,-0.010448465,0.027369432,-0.0074753826,0.026828872,-0.0066574295,0.009836778,-0.015932309,-0.028749283,-0.025463244,0.030072235,-0.014139925,-0.0042426884,-0.020697776,0.020712001,-0.017269485,0.012838312,0.0036914593,0.018265255,-0.041964564,0.00012258187,-0.003310933,0.017084556,-0.0015683367,0.013094367,-0.0014083023,-0.006806795,0.033799257,0.19642262,0.008044394,0.0028006013,0.01933215,-0.0308973,0.024652405,-0.01081121,0.0032878171,0.026928449,0.022845794,0.0031615677,0.021693546,-0.0048010307,0.00021148985,0.0075607346,-0.0074967206,-0.031750817,-0.019986512,-0.022746217,-0.012440004,0.016643573,0.016700475,-0.008478264,-0.03297419,0.010768534,0.018507084,-0.008158196,0.0037874798,0.031295605,0.0049006077,-0.009445583,-0.034282915,0.012717397,0.003389172,-0.011223743,-0.005665216,-0.0131512685,-0.010171073,0.02237636,-0.0016447976,-0.009310443,0.00521712,0.0015870074,-0.013890983,0.013755842,0.0055905334,0.008193759,-0.02108186,0.011771416,-0.005843032,-0.016458644,-0.01199902,0.004584095,0.012361765,-0.004235576,-0.01347845,0.03140941,-0.0017248148,-0.0032718135,-0.012247963,0.0058572576,0.014004785,-0.004694341,-0.0075038336,0.00075705146,0.0133646475,-0.01625949,0.0039297324,0.0018990744,-0.018464409,0.022959596,-0.010455578,-0.027611261,-0.005896377,-0.00044942982,-0.023827339,0.012959227,0.011337545,0.024552828,0.034254465,0.0010882337,0.003077994,0.008108407,0.006739225,-0.018435957,-0.03451052,0.013898095,-0.004961065,-0.024239872,0.0043529347,0.0051282123,-0.0068672523,-0.006977498,0.023628185,-0.0055336324,-0.012639158,0.019445952,0.010206636,-0.004982403,0.0069063716,-0.016942304,0.023528608,0.014652035,-0.003958183,-0.00014414206,-0.028649706,-0.022504387,0.004573426,0.010256425,-0.032206025,-0.0035367594,-0.04076964,0.001939972,0.0054447246,-0.008222209,0.007297567,0.0022333683,-0.02135214,-0.0070130615,0.01145846,-0.0060101794,-0.031864617,-0.00050144095,0.00010946795,-0.02056975,-0.017667793,-0.03243363,-0.016643573,-0.0073260176,-0.024922684,0.011401559,-0.012539581,0.01517837,-0.019559754,0.014360417,0.01347845,-0.0075393966,-0.009161077,-0.012767185,0.019019194,-0.0043636034,-0.00050544186,0.009481147,-0.0064689443,0.020000739,-0.0167716,-0.00064280466,0.0018901837,-0.031722367,-0.023628185,-0.012183949,0.005885708,0.016643573,-0.011984795,0.039204862,-0.017596666,0.0004236465,-0.033770803,0.01442443,-0.00018270589,0.00054900674,0.031238707,0.014595134,0.007297567,-0.025491696,0.0037625856,-0.1848148,0.0064262687,0.024083393,-0.008663193,0.004648109,-0.0072015463,0.034766573,0.008691643,-0.005583421,-0.0025481025,-0.012489793,-0.009879454,-0.04076964,0.019645106,0.011984795,0.018862717,0.006853027,0.025705075,0.021736221,0.023044948,0.034226015,-0.010754309,0.02213453,0.007759888,0.0032184687,0.0062057767,-0.04014373,0.04734172,0.0050321915,-0.028251398,-0.02472353,-0.020142991,0.016515546,-0.008293336,-0.016515546,-0.014488445,-0.022191431,-0.022860019,-0.0283083,0.024353674,0.0133219715,0.012916551,-0.0044205044,-0.0093744565,0.0034585204,0.031580113,-0.0060813054,-0.006177326,0.019929612,-0.003508309,0.025420569,-0.04893495,0.03243363,0.0012669386,0.019019194,0.009125515,0.0065329582,0.016316392,-0.001025109,0.0021426822,-0.014865414,-0.019204123,0.0077954517,-0.020783128,-0.028180273,-0.03414066,-0.038294442,-0.005562083,-0.00508198,0.026387887,-0.007681649,0.0027099152,-0.005896377,-0.030214487,0.024040718,0.017667793,-0.027653938,0.0049290583,0.028863085,-0.0030602126,-0.0054553933,0.037412476,-0.014474219,-0.0069810543,-0.0077314377,-0.014922315,0.01722681,0.0029392978,-0.0024289659,-0.011095716,-0.0054411683,-0.011152617,0.009196641,-0.026672393,0.009794103,0.023770437,0.0134642245,-0.021281013,0.036359806,0.007631861,0.009986144,0.0097158635,-0.023599733,0.0063907052,0.0205413,0.0026334543,-0.0067356685,0.02340058,0.03974542,0.003979521,-0.02833675,0.0134215485,0.007959042,-0.013215282,0.009865229,0.018521309,0.01655822,0.0029677483,-0.0067676753,-0.003979521,0.033913057,0.0042106817,0.0096731875,0.0010464469,-0.0005498958,-0.009310443,-0.09422823,-0.0062697907,0.01391232,0.005259796,0.005170888,0.018620886,0.0072584474,0.008286223,0.002708137,0.034965727,-0.015519776,-0.023372129,-0.0011406894,0.003723466,0.05448281,0.03041364,-0.005761237,-0.002452082,0.022291008,0.035705443,-0.0075607346,-0.023884239,0.015832732,-0.012816974,0.0060350737,-0.0039048383,-0.032291375,0.03408376,0.009146852,0.022177206,0.026444789,-0.032234475,0.037924588,0.00082506606,-0.02138059,-0.026302537,-0.00927488,-0.007902141,0.0011566927,-0.055194072,0.018265255,0.017753145,0.044382863,-0.01927525,0.018734688,-0.026971124,-0.025164515,0.035933048,0.010932125,-0.014979216,-0.021337915,-0.014452881,-0.003108223,-0.003197131,0.013144155,-0.024808882,0.00036985718,-0.0043671597,-0.04927636,-0.0031011102,-0.014132813,-0.013670491,-0.035904597,0.028806185,0.014026123,0.0133646475,-0.044041455,-0.012027471,0.016472869,-0.00093175564,-0.039091058,0.035762344,-0.027326757,0.0022511499,-0.036359806,0.0048188125,0.0008468485,0.009552273,0.014879639,-0.014246615,-0.009281993,-0.022020727,0.019261023,0.0030637688,0.013691829,0.003076216,-0.006077749,0.008051506,-0.006874365,-0.015064568,0.03519333,0.034851927,-0.0066680983,0.00093531195,-0.0054447246,0.018478634,0.007916366,0.016159913,-0.025150288,0.008577841,-0.029048014,-0.02348593,-0.0723782,0.024567053,0.01701343,0.015832732,-0.02553437,-0.0011415784,-0.0030691035,-0.005494513,-0.016387518,-0.012710284,0.009594949,0.006298241,-0.023500156,0.0095736105,-0.006764119,-0.013848307,0.0017443745,0.011181067,0.034823477,0.0048010307,0.0016101234,-0.007823901,0.013293521,0.016117238,-0.009104176,-0.010021707,0.008848121,0.012717397,-0.009324669,-0.024012266,0.042476676,-0.0016999205,0.0065791905,0.019403277,0.020000739,-0.029161816,-0.013300634,-0.008905022,0.024538603,-0.007016618,-0.009025938,-0.012169724,-0.0025552153,-0.024339449,-0.010491141,-0.00039097283,-0.01016396,-0.00059701706,0.010256425,0.003010424,0.0062591215,0.00699528,-0.011742965,-0.0135069,-0.0043244837,-0.026686618,-0.004591208,0.009018825,0.020014964,-0.016131463,0.009310443,0.03766853,0.029076464,0.0016892516,-0.0031917964,-0.012205287,-0.0055122944,0.0063835927,0.022063404,-0.036871914,-0.027412107,-0.008442701,0.0030459873,0.01655822,0.010420015,-0.017354837,0.006195108,0.006760563,-0.000992213,-0.011465573,0.009794103,-0.002596113,-0.039062608,0.043301743,0.0049895155,0.009196641,-0.0055656396,0.0180661,-0.0011309094,0.0046196585,-0.036445156,0.0021800236,-0.011081491,-0.0064440505,-0.01364204,0.018137228,-0.008755658,-0.022049177,0.018080326,0.012916551,-0.0023240545,-0.0047085662,-0.018734688,-0.0070699626,-0.023798887,0.021252563,0.009708751,-0.010491141,0.011814092,0.008926361,0.0047299042,0.0097585395,-0.01825103,0.0257193,-0.012098597,0.0032558101,0.02361396,0.0018199463,-0.0069490476,0.02849323,0.026459014,0.0070664063,-0.0027668162,-0.00017970525,0.023030723,-0.010263537,0.014331966,-0.010107059,0.0030157587,-0.0064120432,-0.005650991,0.003961739,-0.012119936,-0.017184133,-0.0074967206,0.003118892,-0.03209222,0.0070059486,0.010668958,0.099520035,-0.0027490347,-0.024310997,-0.011949232,-0.019730458,0.027156053,0.009979031,0.014808513,0.0010002147,-0.039176412,0.03092575,0.0072833416,-0.014637809,-0.037782334,-0.022219881,0.0006454719,-0.01426084,0.009979031,0.0016999205,-0.0038479373,-0.010583606,-0.0034549641,0.025320992,0.011913669,-0.016103012,0.0017888285,0.018933842,0.0052846903,-0.024780432,-0.018677788,-0.01312993,0.012632046,0.013663379,-0.017895397,0.0134215485,0.005270465,-0.019602431,-0.0033553871,0.011401559,0.011678952,-0.011870993,0.018933842,-0.0064120432,-0.006216446,-0.009146852,0.0046552215,-0.0017523762,-0.02186425,-0.023841564]','plot a line chart of fatalities by month for Chad using HDX data as an image','{"mem_type": "memory", "custom_id": "af936e2d-b976-40c9-add4-0209c0f2307e"}','af936e2d-b976-40c9-add4-0209c0f2307e','5bddca9d-c648-49d2-b516-46d64b588bc7'), + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.017500864,0.002598799,-0.011109371,-0.019376474,-0.0036285801,0.028321682,-0.027658004,0.0066439807,0.0036303836,-0.032404736,0.011397926,0.017515292,0.0061895065,-0.003938777,0.0049198642,0.021078948,-0.004609667,-0.0027989843,0.0026727414,-0.020184427,-0.032520156,0.0057097836,0.03693505,-0.008252675,-0.001066752,-0.002187608,0.005284165,-0.026994329,0.0018936427,-0.0023282787,0.0114556365,-0.016159084,-0.0052589164,-0.027080895,-0.0012182435,-0.00911834,-0.007913623,-0.007174201,0.007697207,-0.0037656438,0.010784746,-0.013569303,-0.0039423835,-0.015495408,0.009854156,0.0043283263,0.01062604,-0.009103913,-0.0269799,0.03000973,0.013186967,0.025089864,-0.00774049,-0.01579839,0.021324221,0.010286989,-0.0019351225,-0.007437507,-0.011571059,-0.0234451,0.00011390036,-0.021699343,-0.023459528,0.020069005,-0.017674,-0.011650411,-0.002840464,-0.004854939,0.030096296,0.0020343133,0.041523077,0.03191419,-0.01555312,-0.020386416,0.019059062,0.006405923,-0.024382904,-0.013179754,0.008728791,-0.0024076314,0.03428034,-0.037483305,-0.0074302936,0.0124944355,0.020285422,0.004566384,0.00995515,0.04798671,0.00557272,0.0035943142,0.020920243,0.02299784,0.03338582,0.006333784,-0.004054199,0.011347429,-0.00973152,0.03866638,0.027210744,-0.013958852,-0.00854123,0.0028566953,-0.025522698,-0.009940722,-0.038204692,-0.025320709,-0.0044401414,0.0110516595,0.03211618,-0.004988396,-0.029663462,0.01555312,-0.0021515389,-0.032087322,-0.0064239576,-0.032606725,0.006582663,0.00446539,-0.016288934,-0.030846538,0.012530505,0.025681403,-0.0034987305,-0.002221874,0.00867108,0.022117747,-0.010683752,-0.038579814,0.023863506,-0.005626824,0.0021551456,0.0034229846,0.017717281,0.0005225552,-0.025652546,0.010460122,-0.006928929,0.016418783,-0.027773427,-0.021886902,-0.010077786,0.01624565,0.019809306,-0.02119437,-0.011931753,0.041205667,0.0028224294,0.0020775965,0.002198429,-0.03269329,0.010943451,-0.019953584,0.0052228468,0.006885646,-0.011397926,0.023156546,-0.004339147,-0.0045988467,-0.009810872,-0.015783962,-0.012003891,0.00911834,-0.0013850643,0.004039771,0.03557884,0.03563655,-0.0029649034,-0.016101373,-0.004039771,-0.0006303125,0.00915441,0.013208609,-0.009313115,-0.0060704774,-0.004638523,0.0012173417,0.00034513892,0.020069005,-0.01920334,-0.020530693,-0.009385254,0.015336703,0.017385444,-0.01352602,-0.027369449,-0.012602643,0.025984386,-0.021757053,0.010424052,-0.021699343,0.02744159,0.005648466,-0.023170972,-0.0028999785,-0.6145069,-0.025767969,-0.014131986,-0.023675945,0.014629743,0.021800335,0.015048148,-0.0065429867,-0.022132175,0.022637146,0.017558577,0.042879283,0.0036935052,-0.03237588,-0.0005058731,-0.018337674,-0.028047554,0.004490638,0.002606013,0.029331625,-0.0141103435,-0.008360883,0.0018575734,-0.0034770889,0.018698368,0.0011073301,0.033299256,-0.0106621105,-0.006048836,0.013071545,-0.0039027075,-0.0007628675,0.00011457666,-0.023170972,0.041523077,-0.016274506,-0.023748083,0.009565601,0.035694264,0.0393012,-0.018337674,-0.0065429867,0.020718254,0.015870528,-0.015654113,0.03883951,-0.01323025,0.00037331815,-0.004645737,-0.0649826,0.0010622434,-0.004281436,-0.018972496,0.013540448,0.023098834,0.00034130656,-0.0017042785,-0.0010541277,0.012638712,0.008851427,0.009681023,-0.0012840701,-0.040859398,-0.011657625,-0.009363612,0.02441176,-0.021670487,-0.009702665,0.019232197,-0.003646615,-0.021353075,0.015177998,-0.015812818,-0.010315844,0.015134715,0.01101559,0.006027194,-0.011794689,0.0010685555,0.0036177593,0.0001233122,-0.00097567687,-0.017875986,0.0060055526,0.012198666,0.008158894,-0.03990717,-0.0016781281,-0.004526708,0.004609667,0.02087696,0.0053743385,0.021309793,-0.02080482,-0.023228684,0.029778885,0.0005653876,0.015625257,0.009075057,-0.011787475,-0.012047174,-0.002283192,-0.013316818,-0.0005626824,0.058951803,0.0010369947,-0.02351724,0.00057485583,0.05179564,-0.020775966,-0.02247844,0.009017346,-0.047121044,-0.008952421,0.019174485,-0.041061386,0.001168648,-0.009046202,0.018265536,-0.014081488,0.06065428,-0.0007047056,0.037800714,0.001110937,0.009594456,0.0031470538,0.031827625,0.0052913786,-0.009204907,0.0062003275,-0.020270994,-0.0013517002,0.03537685,-0.036588784,0.015538692,0.0015987755,0.00048874016,-0.021266509,-0.035896253,-0.03390522,-0.0018846254,0.0128911985,0.009702665,-0.0115927,-0.004923471,-0.02377694,-0.024483899,0.0067810444,-0.003459054,-0.0126819955,-0.00889471,-0.018799363,0.0022344983,0.028884364,0.031539068,-0.0012290643,0.044726036,-0.014370043,-0.008916352,-0.0018377352,-0.011513348,0.034770887,-0.016649628,-0.0027052038,0.025854535,-0.0046529504,-0.010676538,0.022925701,0.0026889727,-0.0054320493,0.0061498303,-0.013237464,-0.037194747,0.022882419,-0.015913812,0.01676505,-0.004281436,-0.026749056,0.019145628,-0.012090458,-0.00034716784,0.04013801,-0.0065249517,-0.030557984,0.03148136,-0.0019892266,-0.005616003,0.0041804416,0.008736005,0.037541017,-0.025681403,0.019304335,-0.0032714934,0.0039532045,0.0084258085,0.01714017,0.006286894,0.0047142687,0.010359127,0.011311359,0.026518213,0.013807361,2.0753985e-05,0.002171377,0.030673405,-0.04902551,0.019564034,-0.021179942,0.002602406,-0.009046202,0.012213094,-0.039676324,0.0011497117,0.0055582924,-0.010719821,0.027585866,-0.017962553,-0.0015942669,-0.024743598,-0.017169027,0.00027638164,-0.0051290663,0.03257787,0.009543959,-0.0037403954,-0.03883951,0.009551173,0.0061858995,0.004375216,-0.014117558,-0.0034698748,0.023473956,-0.012342944,0.00751686,0.032751,0.02080482,-0.0017114923,0.0045519564,0.014846159,-0.00517235,0.001654683,0.011917325,0.017270021,-0.012155383,-0.0026276547,0.007891981,0.012941696,0.004905436,-0.019030208,0.014687454,0.0068928595,0.0139083555,-0.0077621317,0.016490923,0.015235709,-0.0031795164,-0.0031560713,0.024325194,0.05144937,0.027023183,0.020270994,0.008750432,0.0015915616,-0.0010865902,-0.017255593,-0.020977953,-0.021266509,-0.0088225715,-0.019362045,-0.007001068,-0.002820626,0.016202368,0.004216511,-0.0155242635,-0.0010207635,-0.022464013,0.015423269,-0.014442182,0.026244085,0.003385112,-0.026633635,-0.014124772,0.019059062,0.007848698,-0.0058179917,-0.0108568845,-0.029216202,0.0038486035,-0.0045122798,0.012249163,-0.0005004627,-0.0028909612,0.030615695,-0.00787034,-0.013085973,0.004808049,0.02229088,-0.0025392848,-0.021151088,0.010806387,-0.021324221,-0.0038089273,-0.0158561,-0.016274506,0.031077383,-0.0043175053,0.0008652144,-0.006817114,-0.012790204,0.011210365,0.0014012957,-0.004790014,-0.021886902,0.027787855,-0.0039063143,0.0006636767,-0.039762888,-0.0043066842,0.064636335,-0.0023823828,-0.0004468095,-0.037743002,-0.030933104,0.015913812,0.01842424,0.014377257,0.007733276,-0.01708246,-0.01406706,-0.0006803588,-0.023271967,-0.013829002,0.026835622,0.0027340595,-0.010467336,0.012003891,0.0069469637,0.003408557,0.018683942,-0.00054780376,-0.011448422,-0.029576896,-0.02614309,-0.0050713555,-0.004577205,0.009370826,-0.015899384,0.027254028,0.023805793,0.019059062,0.04290814,0.014875014,0.013915569,-0.026200801,-0.011585486,0.020097861,-0.00088189647,0.008627797,-0.006510524,0.021858048,0.01172255,0.010135497,0.018597374,0.019059062,-0.0012552146,-0.00047070548,0.009940722,-0.024094349,0.025941102,0.0056737144,-0.012970551,6.903906e-05,-0.026864478,-0.0077621317,0.0077621317,0.0033237939,-0.022391874,-0.014218552,-0.011376284,0.003105574,0.003435609,-0.012213094,-0.0006478963,-0.008324814,-0.019621745,0.0012903822,0.0065646283,-0.010936238,-0.031683348,0.0042381524,-0.032924134,-0.024440616,0.0017710068,0.0021226832,-0.008245462,-0.014600887,-0.026070952,0.020674972,0.030817684,0.015437697,0.026128663,-0.006272466,-0.0069649983,-0.019780451,-0.018467525,-0.015682967,-0.00032394816,-0.0044798176,-0.010561116,0.0027106144,0.0008372606,-0.012638712,-0.0128839845,-0.00015588738,0.024455043,-0.034828596,0.019895872,-0.019982439,-0.016317789,0.007278802,0.015105858,0.012941696,0.01242951,-0.00809397,-0.0026871692,-0.023488384,-0.024296338,-0.0025068223,0.02383465,0.0050280723,-0.0033905222,0.002606013,-0.019766023,-0.02402221,0.012602643,-0.0199103,-0.014471037,-0.022002324,0.0037331814,-0.010813601,-0.005634038,-0.003085736,-0.024498327,-0.00521924,0.006467241,0.01149892,0.011433995,-0.009551173,-0.03713704,0.019491896,0.008966849,-0.013273533,-0.024253055,0.0025645331,-0.024123205,0.018496381,-0.0036412044,0.0014337581,-0.026965473,-0.007819843,-0.008736005,0.002548302,0.0051326733,-0.02363266,-0.0122780185,-0.0041010887,0.00243288,-0.021511782,0.0047286963,-0.014535963,-0.016808333,0.017587433,0.01650535,0.013194181,0.0025591229,-0.0064960965,0.0030983603,-0.013663083,-0.029865451,-0.041638497,-0.032145035,0.023603806,0.021295365,0.021959042,0.041321088,0.028033126,0.010265347,-0.0057025696,0.007098455,0.008274317,0.009565601,-0.017356588,-0.020458555,0.0002116822,0.017068032,0.0055871475,-0.009457393,-0.02813412,0.011390712,0.02178591,-0.012328516,-0.016173512,0.02852367,-0.023906788,-0.019895872,-0.0030388457,-0.008497947,-0.019766023,-0.042446453,0.018077975,0.027658004,0.0021695734,0.025147576,-0.013785719,0.009017346,-0.006730547,0.035809685,0.014730738,0.011304146,-0.0007470871,0.0124944355,-0.009774803,0.026604779,0.022824707,0.010149925,0.017169027,0.0002653354,0.008368097,0.007174201,0.026951045,-0.008800929,0.0324913,-0.019434184,-0.010849671,0.003574476,-0.02865352,-0.028292825,-0.007992975,0.012754135,-0.0020000474,-0.010770318,0.02891322,-0.01946304,-0.013922783,0.0098397285,0.0040181293,0.03468432,-0.014117558,0.034972876,0.013684724,0.011910111,-0.0110660875,-0.00269799,-0.039099213,0.014608101,0.035348,0.03762758,-0.017890414,-0.023805793,-0.0008719774,0.022521725,0.017601859,-0.041465364,-0.0038413897,0.013742436,0.008389738,-0.024354048,-0.00822382,-0.03315498,0.0068495763,0.001733134,-0.017111316,-0.0036105455,-0.0058360267,-0.014384471,-0.0031308227,-0.045418568,0.016173512,-0.009695451,-0.0022272845,0.023459528,-0.0007186825,-0.023906788,0.023762511,-0.009572814,-0.0031254122,0.0053671245,0.022911273,0.00029689612,0.0098253,0.015654113,-0.008476305,0.008974063,0.03814698,-0.012696424,-0.0018305213,0.016462067,-0.015250136,0.0118524,-0.0110660875,-0.01458646,-0.011635983,-0.0011957001,-0.00012218504,0.013792933,-0.028595809,-0.005861275,-0.016202368,-0.0005703471,-0.0003214684,-0.023358533,0.010488977,-0.001301203,-0.033097267,-0.0032660828,0.007747704,0.014752379,0.01985259,0.039560903,0.0010270757,0.0027196317,0.027542584,-0.020761538,0.030096296,0.023372961,-0.0020126717,-0.036502216,0.0057386393,-0.02061726,0.0063121426,0.005103818,-0.040657412,-0.029403763,-0.013742436,0.007524074,0.0317122,0.0077837734,0.009479035,0.00269799,0.03358781,0.002725042,-0.029663462,-0.020516265,-0.001066752,-0.03866638,0.022189885,0.009926295,-0.01752972,0.0052625234,-0.026518213,-0.0052553094,0.027658004,-0.026229657,-0.016519777,0.008750432,0.017010322,-0.024844592,-0.0061498303,-0.0074158655,-0.015077003,-0.002809805,0.008786502,-0.0062941075,0.016837189,0.018828219,-0.0021858048,-0.019116774,0.006355426,-0.026561495,-0.015250136,-0.010359127,-0.02074711,-0.012314088,-0.0083176,0.012104886,0.032779858,0.022189885,-0.03032714,-0.0337898,-0.040426567,-0.037656438,-0.0016537813,-0.0088297855,0.004458176,0.026821194,0.013771292,-0.008656653,0.009904653,-0.018496381,0.0047070547,-0.015812818,-0.007444721,0.011563845,-0.030731117,0.012631499,0.008101184,-0.028119693,-0.02461375,0.02242073,0.020126717,0.04645737,0.026027668,-0.0067089056,-0.019116774,-0.01605809,0.0003149308,-0.011801903,-0.0020866138,0.0013408794,-0.033991788,0.0100489305,0.014817304,-0.0020108682,-0.00067675184,-0.0062508243,-0.0145071065,-0.0016050877,-0.019996867,-0.0061534373,0.005316627,-0.001936926,-0.0023246717,0.008786502,0.010813601,-0.0015780356,0.03635794,0.017053604,0.017948126,-0.009096699,0.0010613416,-0.037800714,-0.0237048,-0.01669291,-0.010214849,0.018900357,-0.012920054,-0.001960371,-0.024628175,-0.007956906,-0.009349184,-0.0059334137,-0.013829002,0.011037231,0.003704326,-0.010561116,-0.021872476,-0.0025897818,-0.010012861,-0.009197693,0.0106476825,0.0064419922,-0.024556037,0.0133023895,-0.028696803,-0.02331525,-0.01516357,0.014045419,-0.015221281,0.014124772,0.044524048,0.20037265,0.008519589,0.0014608101,0.030096296,-0.026042096,0.023372961,0.0015581974,0.020011295,0.016086945,0.017702853,-0.0038053202,0.013071545,0.0031524643,0.0044870316,0.02878337,0.0023643482,-0.032606725,-0.040051445,-0.012718066,-0.004577205,0.01650535,-0.005233668,0.005644859,-0.018077975,0.0147235235,-0.009341971,-0.029216202,0.02242073,0.024584893,0.029346053,-0.011116585,-0.010640468,0.012047174,0.005691749,-0.007639496,-0.005204812,-0.0050100377,0.0051434943,0.02004015,-0.007065993,-0.028364966,0.0088225715,0.0045375284,-0.008772074,0.013381742,-0.017962553,0.007174201,-0.016736194,0.0048513324,-0.003078522,-0.02268043,-0.02035756,0.007992975,0.027369449,-0.009551173,0.00058252056,0.030211717,0.012984979,0.008901924,0.009803658,-0.005453691,0.03563655,-0.016678482,-0.011729764,0.0043175053,0.034857452,-0.013446667,-0.024267482,0.0024076314,-0.021410787,0.0463708,-0.01203996,-0.023906788,-0.0067918655,-0.00063527207,-0.0196506,0.03358781,0.013374528,0.028235115,0.026200801,0.012025533,-0.018525235,0.008627797,0.0024400938,-0.0077837734,-0.019578462,0.021035666,0.0010965093,-0.03306841,-0.0010947058,0.010351913,-0.0100345025,-0.011736978,0.015812818,0.013143684,-0.013158112,0.018352102,0.0073148715,-0.010149925,0.0059045586,-0.00809397,0.04175392,0.016115801,0.0014707291,0.0046962337,-0.014846159,0.006514131,0.002470753,-0.0009792838,-0.022622718,0.01721231,-0.057913005,-0.007029923,-0.009457393,-0.0054284423,0.028437104,-0.00055095984,-0.037973847,-0.0075673573,0.024541609,-0.011109371,-0.03673306,-0.01778942,-0.007819843,-0.02208889,-0.008108398,-0.008469092,-0.0025122326,-0.010618827,-0.019809306,0.017327731,0.00433554,0.026705774,-0.0033219904,0.009334757,0.016361073,0.0025122326,0.010258133,-0.007451935,0.028682375,-0.004945113,0.002018082,0.016721766,-0.0013102205,0.019217769,-0.0010243705,-0.010012861,-4.232517e-05,-0.03148136,-0.010705394,-0.00605605,-0.0020523479,0.007552929,-0.0004986592,0.04238874,-0.010842457,0.006589877,-0.012602643,0.009760375,0.015004865,-0.007480791,0.02331525,0.02506101,0.014146413,-0.020660544,0.015250136,-0.18698369,0.0071381317,0.032029614,-0.013417811,-0.004609667,0.0048152627,0.03901265,-0.011419567,-0.018943641,-0.011138226,-0.0036880947,0.01875608,-0.038204692,0.017197883,0.0066115186,0.034972876,-0.0043247193,0.024354048,0.023286395,0.013057117,0.022536151,-0.0017953537,0.02556598,-0.0084185945,0.015509836,0.010561116,-0.050064307,0.032779858,0.00062805816,-0.018655086,-0.016043661,-0.024180915,0.03872409,-0.0035997247,-0.0023571344,-0.022060037,-0.02029985,-0.01548098,-0.022103319,0.0136198,-0.0018882323,0.01326632,0.0057169977,-0.009846942,-0.002321065,0.0052625234,-0.0050352863,0.0013913765,0.026864478,0.008368097,0.011304146,-0.036761917,0.0075024324,0.0006086709,0.021713769,0.004443748,0.017558577,0.03526143,0.002371562,0.0038558173,-0.027138606,0.0061173677,0.0030658979,-0.021237655,-0.023762511,-0.028667947,-0.0062508243,0.0092337625,-0.0026925795,0.028004272,-0.019751595,-0.0024004176,0.0021659664,-0.022103319,0.013223037,0.0047755865,-0.021540636,0.010705394,0.04181163,0.008130039,-0.01702475,0.038435537,-0.017803848,-0.012299661,-0.011520562,-0.0013940817,-0.013533234,0.022074463,0.004349968,-0.0070732064,-0.004234546,-0.030759972,0.018828219,-0.018539663,0.029952018,0.02184362,-0.006203934,-0.0050352863,0.01323025,-0.020227712,0.013958852,0.01952075,-0.025017725,0.0020361168,0.006874825,0.014030991,-0.025926674,0.020011295,0.038868368,0.005464512,-0.01503372,0.0027196317,0.025205286,0.0025140361,-0.011895684,0.03179877,0.028307253,-0.0074952184,-0.021728197,-0.0002894568,0.026633635,0.012097672,0.0018187988,-0.00561961,-0.012003891,-0.016476495,-0.089971475,-0.0136919385,0.032779858,-0.0018774115,-0.00095133006,0.003489713,0.008382525,0.00460606,-0.003442823,0.026619207,-0.018857075,-0.00792805,0.0059298067,0.0011749602,0.027975416,0.03280871,-0.007278802,-0.00062535296,0.018554091,0.040484276,-0.03012515,-0.021439642,0.025796825,-0.018135687,0.019261051,-0.0029757242,-0.011938967,0.031308226,0.001906267,0.020227712,0.025392847,-0.04285043,0.037165895,0.004115517,-0.0077116345,-0.02923063,-0.0058973446,-0.013893927,0.014045419,-0.038493246,0.012797418,0.00438243,0.01030863,-0.0015636078,0.00051083264,-0.022117747,-0.010323058,0.011953394,0.0054789395,-0.019261051,-0.011585486,-0.006802686,0.006654802,0.0132879615,0.011953394,7.850727e-05,0.017183455,-0.0014499893,-0.04836183,0.0051434943,0.007029923,-0.0073076575,-0.03823355,0.024166489,0.004090268,0.023430673,-0.03269329,0.0034644646,0.01728445,-0.004220118,-0.04813099,0.015957095,-0.02480131,0.010149925,-0.031192806,-0.014831731,0.0061317957,-0.0058540613,0.023978928,0.0017764173,-0.034193777,-0.0332704,0.015538692,-0.014774021,0.020472983,0.010618827,-0.0060704774,0.0078126285,0.008245462,-0.037310172,0.03358781,0.03912807,0.0064780614,-0.02178591,-0.003500534,0.018395387,0.0032336204,0.022637146,-0.041782774,0.012624285,-0.048996653,-0.00081561896,-0.082411334,0.02852367,0.018683942,0.01300662,-0.018943641,-0.006092119,0.004036164,-0.01561083,-0.014557604,-0.006391495,0.007065993,0.011751406,-0.019708311,0.003201158,-0.006474455,0.0031326262,0.0042129043,-0.01040241,0.016736194,0.012631499,0.008714363,-0.0037728578,0.017053604,0.0012588216,-0.011347429,0.0029667069,0.00078676344,0.019001352,-0.01123922,-0.019304335,0.0234451,-0.0031001638,-0.011383498,0.03641565,0.0028350537,-0.012588215,-0.010020075,0.005994732,0.030702261,0.015596403,-0.012119314,-0.036271375,0.0070046745,-0.017803848,0.004858546,-0.0074952184,-0.0145071065,-0.009493462,-0.0037981062,-0.01188847,0.013598158,0.016462067,-0.0024400938,-0.008454664,0.0054212287,-0.028552527,-0.007689993,0.006059657,0.021800335,-0.01429069,0.010063359,0.020833677,0.017645143,0.004122731,-0.0030947533,-0.003516765,-0.015596403,-0.0026817587,0.015971523,-0.024758026,-0.026171947,-0.024253055,0.01101559,0.011967822,-0.004115517,-0.01817897,0.019145628,0.003385112,-0.010878527,-0.0037440022,0.009002918,-0.016404355,-0.049891174,0.0393012,0.012256377,0.0049631475,-0.01304269,0.018337674,-0.023748083,0.009240977,-0.021684915,-0.0051218527,0.008851427,-0.0009657578,-0.026893334,0.0038233548,0.015639685,-0.013547661,-0.003985667,0.019318763,0.005803564,-0.004905436,-0.003646615,-0.012530505,-0.032779858,0.010286989,0.00035393084,-0.01830882,0.009053416,1.8668725e-05,-0.004162407,-0.024483899,-0.013251892,0.01752972,-0.033328112,-0.00464213,-0.004609667,0.00627968,-0.010618827,0.030817684,0.017399872,-0.0024509146,-0.017702853,0.006993854,0.010597185,0.003109181,0.024887877,-0.016707338,-0.0020613654,0.014889442,0.005691749,0.00986137,0.0038089273,-0.025739113,-0.026691345,0.013540448,-0.018380959,0.009428537,0.0029612966,0.12073145,0.006752189,-0.016995894,-0.006813507,-0.00973152,0.011931753,0.0060740844,0.00077729527,0.0013498968,-0.042763863,0.027311739,0.0023264752,-0.006615125,-0.044206638,-0.00893078,-0.010741463,-0.031625636,-0.006734154,-0.018510807,3.947907e-05,0.0039928807,-0.009464607,0.032779858,0.00876486,-0.020545121,0.0034193778,0.01650535,-0.0027593079,-0.021309793,-0.014651384,-0.0032300134,-0.010885741,-0.00094952655,-0.028162977,0.005230061,-0.010121069,0.00165829,-0.011837972,0.025537126,0.003408557,-0.0061426163,0.010431266,-0.0115927,-0.006514131,0.005760281,0.0012822666,0.010222063,-0.013814575,-0.013756864]','plot a map of IPC phase 3 data by admin_1 in Chad using HDX data as an image','{"mem_type": "memory", "custom_id": "452c800a-99af-47fc-8cd2-54389bdd2cb7"}','452c800a-99af-47fc-8cd2-54389bdd2cb7','a640b5fb-f9d0-488f-a5f9-cc0423b0fc92'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.025336437,0.003081606,-0.0030288824,-0.021482157,-0.008566683,0.027983528,-0.0199259,0.015955266,0.009250272,-0.04436058,0.008944838,0.008697582,-0.0034288547,0.0024289237,-0.0031961435,0.017496977,-0.0043851524,-0.0012280972,0.004166986,-0.02273298,-0.031852353,0.0046069557,0.034179464,-0.0094029885,-0.003243413,-0.005428717,0.020129522,-0.030659707,0.0020525858,0.008188527,0.007854004,-0.02802716,-0.00017726052,-0.027314482,0.0046287724,-0.011155595,0.0001027202,-0.008901205,0.0081230765,-0.0021525791,0.0031416018,-0.009933861,-0.004494236,-0.018645989,0.013126369,0.012377329,0.014755348,-0.001894415,-0.01329363,0.026034571,0.010246567,0.018529633,-0.0020798568,-0.01456627,0.023881992,0.0068649817,0.0040469943,-0.013191819,-0.008028538,-0.020944012,0.012253702,-0.017642422,-0.021438524,0.013889953,-0.025205538,-0.020624034,-0.0036161146,-0.00442515,0.022223923,-0.0018053303,0.047240384,0.035750266,-0.018384188,-0.010639267,0.0170461,0.002757992,-0.02204939,-0.010566545,0.017831499,0.0017644239,0.029990662,-0.01740971,-0.0069486126,0.013664514,0.01851509,0.0027161767,0.0015898906,0.050905585,-0.0003265684,0.0036124785,0.024289237,0.019053234,0.03612842,0.0018816886,-0.008675766,0.010719262,-0.012042807,0.03342315,0.012173707,-0.011970085,-0.0016571586,-0.00024498312,-0.02348929,-0.012660947,-0.0398518,-0.02037678,-0.0092648165,0.015082598,0.03289955,-0.010115667,-0.032725018,0.016507953,-0.008864844,-0.024056526,0.0015971627,-0.032055974,0.006334109,0.009875683,-0.024085615,-0.03191053,0.017453343,0.019373212,-0.0032961366,-0.006814076,0.0047960333,0.020013167,-0.008952111,-0.03560482,0.019067777,-0.008835755,0.005621431,0.005770512,0.010050217,-0.0020653124,-0.026703615,0.0019180498,0.0033961297,0.019678645,-0.021104,-0.018500544,-0.0054432615,0.0125300465,0.01871871,-0.024347413,-0.012697307,0.042120736,0.012631858,-0.00084857794,0.0013944494,-0.03135784,0.01898051,-0.018006032,-0.001990772,-0.0037379244,-0.01018839,0.029685229,-0.004272433,0.0038433718,-0.0071813236,-0.012435507,-0.0190096,0.002050768,0.0068577095,0.011613745,0.032812286,0.035430286,-0.0041560773,-0.019053234,-0.00032497762,0.0060723093,0.009395717,0.012377329,-0.019576835,-0.0014317196,0.003465216,0.00012828661,-0.0008531231,0.024900103,-0.023562014,-0.02420197,-0.0027089044,0.019416844,0.006766807,-0.014129936,-0.022005757,-0.013468163,0.034412175,-0.013846319,0.010995607,-0.025918216,0.028768929,0.0117955515,-0.020551313,-0.0036724743,-0.6078418,-0.035168488,-0.013679058,-0.03164873,0.010282928,0.013722692,0.013446347,-0.005457806,-0.017395165,0.012915474,0.01982409,0.039270025,0.011162868,-0.034499444,-0.0057559675,-0.014580814,-0.02763446,0.0024216515,-0.0042942497,0.028230783,-0.013220908,-0.004432422,-0.002403471,-0.0066649956,0.024943737,-0.0031652367,0.043778803,-0.0011617382,-0.01502442,0.009184822,-0.015082598,0.002436196,-0.009053922,-0.02756174,0.047473095,-0.00617412,-0.03665202,0.0058068726,0.029990662,0.048985716,-0.028463494,-0.003981544,0.02577277,0.022645714,-0.027605372,0.021147635,-0.021176724,0.0031270573,0.0024471043,-0.05529801,0.0035415743,0.0013871772,-0.014733531,0.024492858,0.019067777,0.012617313,-0.0017253357,0.0075267544,0.009286633,0.013002741,0.01528622,0.0026161834,-0.036768377,-0.013693603,-0.007854004,0.026689071,-0.021423979,-0.011541024,0.02218029,-0.014638992,-0.017846044,0.014333558,-0.0023252943,-0.0026434544,0.02231119,0.009802962,0.0080649,-0.013962675,0.006708629,-0.0023343847,-0.000546326,-8.289202e-05,-0.024740115,0.007963088,0.0144353695,0.0057996004,-0.03246322,-0.0052614557,0.0001699883,0.006345018,0.018849611,0.0038106467,0.026965415,-0.02511827,-0.031997796,0.036244776,-0.0024343778,0.013039102,0.010232023,-0.009744784,-0.014638992,0.0011571931,-0.0096357,0.001987136,0.056316122,0.0018071483,-0.02658726,-0.0006013222,0.038222823,-0.020565856,-0.01596981,0.0048651197,-0.046135005,-0.013628152,0.018544178,-0.044447847,0.01123559,-0.0146535365,0.009090283,-0.0056032506,0.058817767,0.0015398939,0.03665202,0.002312568,0.0080139935,0.0071340543,0.021831224,-0.0023034778,-0.0090757385,-0.0003424764,-0.021889402,-0.0020034984,0.027154494,-0.02756174,0.013526341,0.004396061,0.0006454101,-0.009417533,-0.030950597,-0.030485174,-0.0066286344,0.0052614557,0.0114683015,-0.014682625,-0.00029611596,-0.026049115,-0.028128972,0.004101536,0.009904772,-0.004614228,-0.016827932,-0.018049667,0.003532484,0.031532373,0.028812561,-0.0023616555,0.040200867,-0.012610041,-0.009599339,-0.0007744921,-0.014682625,0.028768929,-0.013322719,-0.0038579162,0.021278534,-0.0049269334,-0.0032561393,0.025961848,0.0037342883,-0.0067886235,0.009097556,-0.012791846,-0.032346863,0.02139489,-0.015926177,0.016260698,-0.0062250257,-0.02037678,0.015606198,-0.013497252,-7.9369536e-05,0.027256304,-0.00957025,-0.023445658,0.026790882,0.0058250534,-0.0051923697,-0.005748695,0.0067704427,0.026863605,-0.022907514,0.015097142,-0.00072767714,0.004843303,0.010581089,0.021729413,-0.005875959,0.010624723,0.010108395,0.008464872,0.025947304,0.0076794713,-0.002598003,0.010748351,0.02965614,-0.05151645,0.019285945,-0.029597962,0.0023998348,-0.004530597,0.014479003,-0.046920404,-0.0015171682,-0.0073413127,0.0052032783,0.016115254,-0.01175919,0.0076212934,-0.028943462,-0.02580186,-0.00525782,0.001573528,0.03193962,0.010697445,-0.008544866,-0.03432491,0.01649341,0.009141189,-0.002218029,-0.010755623,-0.002016225,0.021351257,-0.0103265615,-0.0027198128,0.030165195,0.023314757,-0.0021143998,0.010821073,0.02103128,-0.0011826458,-0.0012999105,0.008224888,0.022791158,-0.013715419,-0.0056941533,0.012930019,0.019954989,0.0098975,-0.022369368,0.0179624,0.010159301,0.020391323,-0.00584687,0.015198953,0.011788279,0.0046433164,-5.7240377e-06,0.028463494,0.053523585,0.029059816,0.024536492,0.013242724,-0.0046978584,-0.010239295,-0.021700324,-0.023460202,-0.01594072,-0.008893933,-0.020827657,-0.0069413404,-0.005359631,0.0179624,0.010253839,-0.017467888,-0.008617588,-0.022543902,0.019125955,-0.008697582,0.03060153,0.0066977204,-0.035168488,-0.017598787,0.01924231,0.006526823,-0.0014471731,-0.01916959,-0.027910804,-0.0041233525,0.003937911,-0.0013580883,0.014035397,0.0020689485,0.029045273,-0.012210068,-0.012275518,0.0073994906,0.023052959,0.0030961505,-0.0179624,0.020129522,-0.019736823,-0.0047705807,-0.015344398,-0.028070794,0.029772496,-0.009788417,-0.0031252394,-0.010493822,-0.010115667,0.00021918945,-0.0043160664,-0.008901205,-0.018936878,0.03298682,-0.0079049105,0.0032906826,-0.04310976,-0.001060836,0.062366616,0.004777853,-0.008777577,-0.036681112,-0.028274417,0.019998623,0.003147056,0.020594945,0.005657792,-0.017206088,-0.022078479,-0.007635838,-0.03505213,-0.015766187,0.022093024,0.0047960333,-0.0047705807,0.019489568,0.0017235177,-0.009795689,0.024056526,-0.0035088493,-0.007701288,-0.034732156,-0.02527826,-0.013104552,0.0010144756,0.0068758903,-0.012471869,0.026121838,0.027808994,0.015533476,0.04628045,0.011228317,0.011330129,-0.023009324,-0.017206088,0.0036852008,0.0073158597,0.012893657,-0.015402576,0.016638855,0.015780732,0.009243,0.023751091,0.015053509,0.0019144136,0.0031361477,0.012355513,-0.021831224,0.028463494,0.00816671,-0.0021580332,0.008603044,-0.022223923,-0.0057996004,-0.0018262379,0.012828208,-0.010791984,-0.018995056,-0.0026143654,0.009941134,0.0033797673,-0.020202246,-0.00074267614,-0.0055014393,-0.012493685,0.0077885548,0.011635562,-0.01077744,-0.030717885,-0.0032561393,-0.04124807,-0.023620192,0.0063704704,0.010719262,-0.0039888164,-0.0097666,-0.025656415,0.016464321,0.03031064,0.027649006,0.022587536,-0.007701288,0.0012271883,-0.024841925,-0.032143243,-0.010057489,0.0011162867,-0.009955678,-0.010130212,-0.007933999,-0.009752056,-0.0103265615,-0.010559273,0.0068831625,0.01528622,-0.026485449,0.028012617,-0.008137621,-0.016187977,0.013395441,0.0058905035,0.015620743,0.008515777,-0.014260836,-0.0005649611,-0.025016459,-0.023722002,-0.000320887,0.02724176,-6.0052684e-05,-0.011897363,0.0074394876,-0.013606336,-0.024521947,0.014668081,-0.018922333,-0.0204495,-0.022136657,0.008770305,-0.007254046,-0.007933999,0.008726671,-0.018006032,-0.005017836,0.0069231596,0.02100219,0.014748075,-0.0076867435,-0.034499444,0.027256304,0.0059232283,-0.003345224,-0.020464046,-0.0036488397,-0.019678645,0.0084212385,-0.002118036,-0.005592342,-0.03220142,0.0037379244,-0.01257368,0.00027384478,0.0135117965,-0.023009324,-0.0068249847,-0.001733517,0.006777715,-0.018471455,0.011577385,-0.01649341,-0.01898051,0.020260423,0.006937704,0.014522636,0.012937291,-0.0011999174,-0.00019612286,-0.016740665,-0.02021679,-0.04278978,-0.030281551,0.01924231,0.017162455,0.016522499,0.0380192,0.041015357,0.0036252048,-0.0059486814,0.0019162317,0.0069449763,0.012297335,-0.017642422,-0.017453343,0.0049378416,0.014006308,-0.0048214863,-0.011177412,-0.011948268,0.011882818,0.010035672,-0.012908202,-0.020013167,0.02857985,-0.025060093,-0.011453757,-0.008472144,-0.012195524,-0.016449776,-0.042411625,0.018180566,0.028768929,-0.004876028,0.027605372,-0.016842477,0.01231188,-0.015242587,0.039735444,0.016537042,0.023751091,0.0028307142,0.017249722,-0.012435507,0.039328203,0.02792535,0.008784849,0.012908202,0.00046996764,0.0034470353,0.009053922,0.027489016,-0.013548158,0.028783472,-0.0161298,-0.004694222,0.005457806,-0.026034571,-0.032870464,-0.0027216307,0.014966242,-0.014020853,-0.0071449624,0.035808444,-0.020987645,-0.023314757,0.007664927,-0.0012808209,0.038455535,-0.011773734,0.02299478,0.016813388,-0.00089630194,-0.021045823,0.0010617451,-0.038979135,0.0054687145,0.036099333,0.044826005,-0.023620192,-0.020420412,-0.0035252117,0.010595634,0.01751152,-0.048927538,-0.0012053716,0.0068649817,0.018922333,-0.022951147,-0.003817919,-0.035866622,0.0059668617,-0.00066040904,-0.020420412,0.0060214037,0.0007899456,-0.011591929,0.00030543352,-0.046862226,0.013795414,-0.0109519735,-0.0048105777,0.014937153,-0.00060495833,-0.014428098,0.019111412,-0.008930294,0.0025161903,0.005657792,0.036622934,0.0027252669,0.0049742027,0.018849611,-0.01198463,0.014544453,0.039677266,-0.012406418,-0.0057668756,0.018689621,-0.0064468286,0.009192094,-0.012253702,-0.014748075,-0.01335908,0.004548778,0.004301522,0.011126506,-0.030717885,0.009984767,-0.017482432,0.00010567454,0.0057632397,-0.017351532,0.008268521,-0.0039124577,-0.035139397,-0.0061850287,0.010210206,0.011213773,0.017496977,0.04197529,-0.0002695269,-0.012260973,0.030194284,-0.024478314,0.025525514,0.019576835,-0.0039706356,-0.044273313,0.013322719,-0.023692913,0.0007422216,0.01348998,-0.036564756,-0.03563391,-0.011642834,0.0012626403,0.028652573,0.008683039,0.012304607,0.0022434818,0.021511246,-0.0017362441,-0.02949615,-0.022718435,0.00053087255,-0.048316672,0.018835066,0.0059486814,-0.020405868,-0.001572619,-0.023358392,-0.0069449763,0.024900103,-0.032346863,-0.015009875,-0.0033234076,0.02469648,-0.028419862,0.00026225467,-0.008275794,-0.020013167,-0.009184822,0.011955541,-0.0091557335,0.011730101,0.018413277,0.0057559675,-0.006610454,0.011781007,-0.02920526,-0.016173432,-0.009235728,-0.028347138,-0.0044796914,-0.015693465,0.019067777,0.026383638,0.020144068,-0.03144511,-0.030921508,-0.029336162,-0.03929911,-0.0063304733,0.0022071206,-0.0041560773,0.02430378,0.007290407,-0.0069886097,0.012791846,-0.017133366,0.003148874,-0.011206501,0.00034406723,0.017176999,-0.031096041,0.021613058,0.0041815303,-0.017787866,-0.030717885,0.016551588,0.024376502,0.030950597,0.029001638,0.0016326149,-0.018340556,-0.019664101,-0.0038760968,0.00023998348,0.0043633357,-0.005141464,-0.033597685,0.008283066,0.018995056,-0.0036688382,-0.014384464,-0.009293905,-0.01169374,-0.0054614423,-0.018995056,-0.0022362096,0.0018344191,0.0026925418,-0.0188787,0.010013856,0.013170002,-0.0069195237,0.041888025,0.01714791,0.013933586,-0.01528622,0.00023339302,-0.033394065,-0.021962125,-0.016973376,-0.016115254,0.01414448,-0.0113883065,0.008181254,-0.035255753,-0.004472419,0.000304979,-0.005170553,-0.016638855,0.012588224,0.015140776,-0.010072034,-0.028783472,-0.012879113,-0.011286495,-0.017075188,0.013002741,0.0020180428,-0.019227767,0.015402576,-0.029903395,-0.026805427,-0.01969319,0.0026798155,-0.013795414,0.012188251,0.04360427,0.18872882,0.008363061,0.0059014116,0.028361684,-0.022747524,0.010704718,-0.0014571723,0.01685702,0.015853453,0.017322443,-0.011242862,0.003665202,0.0063413815,0.0042215274,0.03694291,-0.0013344536,-0.036797468,-0.033917665,-0.016377054,-0.010086578,0.018166022,-0.0016444322,0.005046925,-0.011017423,0.019649556,-0.00930845,-0.028754383,0.02250027,0.025031004,0.026281826,-0.009846595,-0.00635229,0.012290062,0.013606336,-0.0040251776,-0.008028538,-0.01362088,0.008908478,0.026252737,0.0027252669,-0.022325736,-0.0006067764,0.0036542937,-0.00289071,0.009832051,-0.02100219,0.00770856,-0.020420412,0.00074949383,-0.0029452518,-0.027038138,-0.0098102335,0.0073922183,0.026761793,-0.008777577,-0.00295616,0.027678095,0.014173569,0.0074613043,0.011439213,-0.0016017079,0.047676716,-0.020245878,0.0006785896,0.004523325,0.033015907,-0.010072034,-0.025700048,0.011977357,-0.010573817,0.03935729,-0.010501095,-0.0174388,-0.01348998,-0.00623957,-0.023591103,0.026689071,0.02113309,0.023474747,0.021569423,0.01244278,-0.016435232,-0.001892597,1.9334607e-06,-0.012071896,-0.016653398,0.030426996,0.0011635562,-0.03714653,-0.003597934,0.009548433,-0.007290407,-0.013133641,0.014558997,0.012071896,-0.009017561,0.0052905446,0.021016734,-0.014551725,0.0037779217,-0.0015926176,0.047822163,0.016275242,-0.0034524896,0.0028088975,-0.0056141587,0.01084289,0.007032243,-0.004988747,-0.023954714,0.019809544,-0.057799656,-0.010886523,-0.012108257,-0.016013443,0.025685504,0.0120137185,-0.033044998,-0.017976943,0.025743682,-0.009432077,-0.029816128,-0.016798843,-0.005748695,-0.022674803,-0.004614228,-0.004588775,0.011861001,-0.015809821,-0.02753265,0.023271125,0.0049851113,0.035430286,-0.012457324,0.0024343778,0.018762344,0.004348791,-0.00085494114,-0.007064968,0.018195111,-0.0066686315,-0.0024943736,0.014675353,0.007377674,0.01630433,-0.0007185869,-0.00048633016,0.008348516,-0.025990937,-0.008152165,0.00042974314,-0.004654225,0.006166848,0.0025452792,0.040840823,-0.011075601,0.00029157082,-0.018776888,0.007977633,0.013729963,-0.01806421,0.023198402,0.022718435,0.015329854,-0.018849611,0.006425012,-0.1882634,-0.0020453136,0.024711026,-0.012246429,-0.013119097,0.009737511,0.032055974,-0.01231188,-0.0199259,-0.0075922045,-0.0030761517,0.018835066,-0.037786487,0.008828483,0.011788279,0.020594945,0.0044178776,0.02152579,0.03217233,0.01342453,0.032870464,-0.0016653399,0.02181668,-0.00842851,0.01175919,0.0065013706,-0.03988089,0.04334247,0.0003652021,-0.018645989,-0.012224613,-0.02257299,0.031241486,0.00058405066,0.00014317196,-0.022427546,-0.022645714,-0.0053087254,-0.017569698,0.019460479,-0.0025071,0.007188596,0.011810096,-0.006508643,-0.0013217272,0.00076358375,0.005770512,0.013344536,0.036099333,0.00661409,0.00442515,-0.03912458,0.0048905723,0.0011717374,0.021889402,0.00764311,0.015446209,0.037262887,0.003019792,0.0011699194,-0.022543902,0.004301522,0.0039633634,-0.012762757,-0.022965692,-0.027125405,-0.009781145,0.012500958,-0.0015298947,0.01675521,-0.026921783,-0.0057341508,0.003721562,-0.027430838,0.01502442,0.00617412,-0.029670684,0.015111687,0.04223709,0.014849886,-0.011402851,0.05160372,-0.01247914,-0.015664376,-0.0026816335,0.0033524963,-0.017642422,0.022587536,0.0066686315,-0.011948268,0.0019089595,-0.034993954,0.010290201,-0.014333558,0.028390773,0.01675521,-0.009286633,-0.002250754,0.010042945,-0.019547746,0.006450465,0.01806421,-0.030107018,0.0058323257,0.011897363,0.016246153,-0.021743957,0.010879251,0.03665202,0.008486688,-0.017133366,0.0007126782,0.028870739,0.010072034,-0.00086494046,0.028099883,0.027052682,-0.0055050757,-0.02632546,0.0017262448,0.021933036,0.0070395153,0.0020453136,-0.0010181117,-0.01806421,-0.026150927,-0.096458815,-0.0129663795,0.035284843,0.0002038496,-0.014420825,0.005839598,0.016042532,0.0086394055,-0.010675629,0.018413277,-0.01943139,-0.00062268437,0.0015689828,-0.0067522624,0.022529358,0.03083424,-0.0082321605,-0.009104827,0.016769754,0.04258616,-0.02168578,-0.027430838,0.025656415,-0.010035672,0.016609766,-0.010275656,-0.009286633,0.02338748,0.0041997107,0.029874306,0.024754658,-0.03534302,0.04252798,0.00026180016,0.0010335651,-0.0335686,-0.0055414364,-0.015998898,0.013191819,-0.037873756,0.0069231596,0.008159438,0.013068191,0.0076212934,-0.0017816955,-0.022878425,-0.014420825,-0.00040156324,0.003916094,-0.00744676,-0.002474375,-0.0062759314,0.011701012,0.0064831898,0.0042506163,-0.00071813236,0.015548021,0.0014235383,-0.0427316,0.0116064735,0.012951835,-0.014355375,-0.042673424,0.030426996,-0.0032252325,0.016071621,-0.034121286,-0.0021253082,0.016653398,-0.010173845,-0.059748612,0.0188787,-0.026238194,0.0069595207,-0.02551097,-0.022107568,0.0023943805,0.0019180498,0.023620192,5.8234627e-06,-0.031532373,-0.036564756,0.014966242,-0.017875133,0.01596981,0.008406694,-0.0059268647,0.012740941,0.013446347,-0.043138847,0.033917665,0.035662998,0.016391598,-0.016013443,0.0013580883,0.019751366,0.009184822,0.021016734,-0.042208,0.013744508,-0.048694827,0.013628152,-0.078423694,0.026936326,0.020333145,0.018544178,-0.019227767,-0.0012908202,0.008799394,-0.0161298,-0.013046375,-0.0058650505,-0.0033506784,0.012515502,-0.02322749,-0.005134192,-0.002985249,-0.005915956,0.0049596583,-0.015213498,0.012457324,0.011737374,0.007159507,0.005875959,0.019664101,-0.0027888988,-0.009722967,0.004585139,0.0046215,0.025787314,-0.0049923835,-0.017613333,0.021642147,-0.0012080986,-0.017715143,0.037321065,-0.0038433718,-0.006145031,-0.0044833277,0.0034470353,0.03060153,0.013300902,-0.012137346,-0.030339729,-0.0053741755,-0.014638992,0.006784987,-0.010573817,-0.0058832313,-0.017904222,-0.013191819,-0.017860588,0.023271125,0.020434957,-0.0062177535,-0.009773873,0.0047996696,-0.032114152,-0.0051087392,0.0058323257,0.02543825,-0.017467888,0.01077744,0.0072794985,0.014646264,0.002087129,-0.0026470905,-0.0046324083,-0.01969319,-0.0029343434,0.015664376,-0.02204939,-0.028230783,-0.019518657,0.018544178,0.008399421,-0.004654225,-0.025569148,0.019198678,0.0012480959,-0.013286358,0.0025216446,0.005170553,-0.027445383,-0.04060811,0.044884183,0.014951698,0.00996295,-0.018006032,0.02220938,-0.02561278,0.013308175,-0.025932759,-0.01130104,0.002799807,0.01368633,-0.018020578,0.0044215135,0.023576558,-0.019111412,-0.007094057,0.02286388,0.0057596033,-0.002438014,0.006432284,-0.02302387,-0.02700905,0.011751918,-0.0033797673,-0.027052682,0.009693878,-0.0032270504,-0.011068328,-0.026703615,-0.011417395,0.011322857,-0.035459377,-0.0058941394,-0.006545004,0.0028488948,-0.010581089,0.02936525,0.026747249,0.0017716961,-0.018427823,0.010726534,0.01916959,0.007795827,0.022805702,-0.009141189,0.0015698919,0.0067558982,0.014129936,0.00244165,0.003430673,-0.024638303,-0.02341657,0.0080939885,-0.006134123,0.015184409,0.0033997658,0.11513389,0.0044760555,-0.0143262865,-0.00068722543,-0.0155771095,0.0059559536,0.0060614008,0.005370539,0.000265209,-0.0398518,0.0335686,-0.004908753,-0.0066613597,-0.04156805,-0.013722692,-0.0057996004,-0.021118546,-0.009744784,-0.024361959,0.0016489774,-0.0008126713,-0.012202796,0.029321617,0.009170278,-0.025190992,-0.00023748365,0.017933311,-0.0013917224,-0.013315447,-0.018995056,0.0040688105,-0.0180933,0.00442515,-0.026340004,-0.0005990497,-0.005446898,-0.0010790166,-0.0032852283,0.022136657,0.00033634048,-0.009926589,0.0056687007,-0.022980236,-0.007032243,-0.0020853109,-0.0036997453,0.008835755,-0.012813663,-0.021336712]','plot a map of IPC phase data by admin_1 using HDX data as an image','{"mem_type": "recipe", "custom_id": "4aa67e6e-deea-4fb0-aa31-7357b923c057"}','4aa67e6e-deea-4fb0-aa31-7357b923c057','6d6a37ca-95e6-4c7f-8177-a1b7e0b09e7a'), + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.019595653,0.008313095,-0.021360522,-0.012529172,0.015281527,0.022887275,-0.0024862248,0.01735455,0.0021588134,-0.042861115,0.0007362377,0.014153973,-0.005182553,-0.022495082,-0.0063486276,0.007738812,0.0058268704,-0.037286367,-0.006096503,-0.013278541,-0.0125852,0.006803852,0.031711623,0.0038589009,0.0040444923,-0.005424172,0.013138472,-0.031151345,0.009265564,-0.00858623,0.016065914,-0.034372933,-0.0027365983,-0.049136207,-0.010351099,-0.004454194,0.0005370771,-0.009664761,0.0077318083,0.008656264,-0.0070279622,-0.022579124,-0.008152016,-0.030787164,-0.007962923,0.019343529,0.0031883207,-0.006670786,-0.013516659,0.034092795,0.012774293,0.02390978,-0.021262474,-0.0092165405,0.017060405,0.0068563777,-0.005466193,-0.021724703,-0.0085582165,-0.026473042,0.016205983,-0.021612648,-0.025016325,0.003869406,-0.026627118,-0.03557753,0.012592203,0.009146506,0.0395835,0.008397137,0.046278797,0.029246408,-0.0022411041,-0.035045266,0.026501056,0.012466141,-0.032383952,-0.005084505,0.0129914,-0.0026455533,0.027103351,-0.02390978,-0.0110794585,0.010218034,0.0072835884,-0.007892888,-0.008320099,0.035941705,0.0004981204,-0.0013070189,0.014609197,0.012284052,0.024470055,-0.0010321335,-0.004454194,-0.0031252897,-0.011576703,0.030142847,0.028363973,-0.014623204,-0.006712807,0.002559761,-0.02580071,-0.016696226,-0.028223904,-0.01825099,0.002204336,0.0085582165,0.021122405,-0.022214944,-0.019735722,0.018475102,0.0006950924,-0.023307482,-0.021346517,-0.030422986,0.010904372,0.0014287039,-0.023713682,-0.03420485,0.01825099,0.016346052,0.010253051,-0.011604717,0.0076547707,0.024792213,-0.009832844,-0.038294867,0.005718317,-0.008817344,0.0029134352,0.004307122,0.0036943199,-0.013488645,-0.012059941,0.013754776,0.0010925382,-0.00021820124,-0.039107267,-0.036866162,0.02575869,0.015757764,0.015435603,-0.010112982,-0.010645244,0.0312634,0.027327463,0.0027716155,0.001006746,-0.029134354,0.0068948967,-0.023559606,-0.010112982,0.0023461557,-0.014721252,0.014195994,-0.0033704103,-0.0030044802,-0.0027873733,-0.010974406,-0.0071225087,0.002803131,0.005413667,0.02764962,0.041768577,0.03720233,-0.022901282,-0.025604613,-0.0055782483,-0.002813636,-0.004930429,0.014273032,0.0013770534,-0.01721448,0.009251557,-0.0042615994,-0.025450539,0.021122405,-0.015561665,-0.018881302,-0.003806375,0.033868685,0.01654215,0.012494155,0.0041460423,-0.008677275,0.02535249,0.0058793966,0.019021371,-0.018264998,0.029498532,0.0118008135,-0.005812864,0.0006053607,-0.62123406,-0.024848241,-0.005059993,-0.028279932,0.024456048,-0.0066042533,0.024161903,-0.001057521,-0.021486586,0.011058448,-0.0008736804,0.030114833,0.0010461403,-0.045578454,0.008985426,-0.017186467,-0.027411504,-0.018307019,0.014693239,0.023265462,-0.022439055,-0.015603686,0.0077668256,0.013712755,0.013565683,0.016794274,0.028209897,0.0033896698,-0.009720789,0.012886348,-0.020366034,0.009321592,-0.012522169,-0.01757866,0.03316834,0.00381688,-0.011604717,0.01402791,0.004895412,0.032299913,-0.02277522,-0.009685772,0.022200936,0.018307019,-0.010070961,0.00047842317,-0.010666255,-0.015519645,0.004317627,-0.04437386,0.0039184303,0.0050074668,-0.025870744,0.013271539,0.014749266,-0.005606262,-0.001834904,-0.0012124723,0.024105875,0.0011345589,0.0062470776,-0.018433081,-0.032524023,-0.003505227,-0.0067548277,0.028588085,-0.019175448,0.008215047,-0.0008570472,-0.024918275,-0.0020310006,-0.015785776,0.0022060869,-0.007969926,0.024834234,0.011807817,0.005935424,-0.019091405,-0.012326072,-0.005403162,-0.0005545857,0.010652248,-0.022467067,0.00899243,0.0013814305,-0.010274061,-0.04804367,0.0055397293,-0.0007147896,0.016486121,0.0031515525,0.019231474,0.009237551,-0.009538699,-0.015645707,0.008243061,-0.018685205,0.014217004,0.0054346775,-0.017060405,-0.014581183,-0.01865719,-0.004653793,0.008411144,0.051545393,-0.0031813174,-0.029610587,0.0050775013,0.041152272,-0.021514598,-0.018068902,0.0062330705,-0.03361656,-0.026543077,0.020492096,-0.0330843,0.026543077,-0.009097482,0.026374994,-0.0012571194,0.038462948,0.015505638,0.025912765,-0.031151345,0.011107472,0.03442896,0.006803852,0.0015214996,-0.020870281,-0.00939863,0.000786575,0.011499665,0.012186003,-0.009622741,0.023419537,-0.00381688,0.005791853,0.0019364539,-0.013208507,-0.00249673,0.018321026,-0.0075147017,0.0013148978,-0.028518049,-0.007598743,-0.023545599,-0.025436532,-0.005669293,-0.008004944,0.007115505,-0.0017998867,-0.020295998,-0.01016901,0.030731138,0.024189917,-0.0041460423,0.02738349,-0.007220557,0.005613265,0.0037048252,0.01613595,0.03266409,-0.003160307,-0.011296565,0.0074166534,-0.00438416,-0.008691282,0.05020073,0.017676707,-0.004979453,0.017130438,-0.026907256,-0.017368557,0.038462948,0.0011170503,0.037566505,-0.015533651,-0.006366136,-0.005550234,-0.01735455,-0.002307637,0.0065272157,-0.007248571,-0.017396571,0.029610587,-0.007584736,-0.013852824,-0.007090993,-0.014581183,0.02941449,-0.020688191,0.026557082,-0.009720789,0.018012874,0.013264535,0.031543538,-0.016528143,0.022116896,0.0024021834,0.025380503,0.0322719,0.013502652,-0.0046292804,0.0043421392,0.03272012,-0.042637005,-0.0028241412,-0.018222976,0.0016484371,0.00249673,0.018279005,-0.03773459,-0.008116999,-0.0034491993,-0.002396931,0.010316082,-0.01154869,-0.0067723366,-0.021136412,0.008894382,0.015155465,0.0028101343,0.014973376,0.008460168,-0.0063381223,-0.022831248,-0.0071855397,0.015099438,0.0061945515,-0.03507328,-0.0065412223,0.016304033,-0.014041917,0.008740306,0.033364438,0.00781585,0.0027068334,0.014153973,0.0017281013,0.008362119,-0.0007738813,0.009692775,0.0036978216,-0.017410576,0.005875895,0.007248571,0.013054431,0.017228488,-0.017746743,0.031095317,0.010512179,-0.0065937485,-0.0012396107,0.020394048,0.0011415624,-0.0003285056,-0.011163499,0.022985324,0.048547916,0.037286367,0.032243885,0.017550645,-0.010456151,0.0020029868,-0.014623204,-0.03493321,-0.0062926,0.0031042793,-0.023755703,0.00096560066,-0.001376178,-0.013285545,0.0016318039,-0.028672125,-0.008439157,-0.015967866,0.00996591,-0.015337555,0.01802688,0.002969463,-0.024035841,-0.030422986,0.029274423,-0.0027173387,-0.0062085586,-0.029834695,-0.023657655,0.009125495,-0.01920346,-0.0005191307,0.0056412793,0.010491168,0.03610979,0.0012063443,-0.008306092,-0.0020590143,0.024974303,0.0065272157,0.0075637256,0.016710233,-0.025674649,-0.008488182,-0.026290951,-0.03428889,0.044597972,0.016556157,-0.0049059168,-0.011632731,-0.011212524,-0.005707812,0.008081982,-0.011618724,-0.012711262,0.04134837,0.0013542922,0.0068983985,-0.02805582,0.013866832,0.037062258,0.012935372,-0.006649776,-0.046026673,-0.025016325,0.013124466,0.040143777,0.0048288787,0.011709768,-0.01613595,-0.02155662,0.0076407637,-0.020912303,-0.01993182,0.00088593643,0.011030434,-0.0039149285,0.007549719,0.018587157,0.0039289356,0.023279468,0.0012273546,0.0014943612,-0.03941542,-0.02575869,-0.006114012,-0.0053541376,-0.0045382357,-0.004982955,0.019819764,0.019455584,0.03190772,0.040591996,0.028574077,0.0030657602,-0.0017499871,-0.009286575,0.018937329,-0.0027050825,0.01794284,-0.0050494876,0.006320614,0.016304033,-0.0047273287,0.020492096,-0.0011310572,0.020940317,0.01321551,-0.00022958186,-0.016149957,0.011835831,0.008740306,-0.0029922242,0.009902879,-0.0011371853,-0.007899892,0.000974355,-0.006852876,0.0005322622,-0.010631237,-0.017340543,0.016388074,0.0054731965,-0.021850765,0.009923889,-0.003183068,-0.03031093,0.0037223336,0.014427108,-0.025968794,-0.01956764,-0.012073948,-0.042917144,-0.021220455,-0.008761317,-0.004366651,0.011324579,-0.03367259,-0.01059622,0.020548122,0.010379113,0.029302435,0.019455584,-0.018012874,0.006408157,-0.022411041,-0.0029904733,-0.011093465,-0.014266028,-0.023671662,-0.014903341,0.0075287083,-0.024736186,-0.017074412,0.0008653638,0.0034369433,0.0077878362,-0.010316082,0.03524136,-0.017410576,-0.019651681,0.0043876613,0.008936402,-0.010974406,0.0014357073,-0.005403162,0.025912765,-0.037650548,-0.020590143,-0.0011538184,0.03619383,0.0010627735,-0.010974406,0.0015372573,-0.012214017,-0.02440002,0.0033966734,-0.01455317,-0.0014041917,-0.015365569,0.017270507,-0.006709305,-0.00976281,-0.008215047,0.00038256348,-0.011373603,-0.011835831,0.013978886,-0.013950873,-0.0010916628,-0.015197486,0.018615171,-0.0034474484,-0.0111424895,-0.026080849,-0.008866368,-0.023013337,0.017144445,0.01321551,-0.008285082,-0.026304958,-0.003855399,-0.02159864,-0.011247541,0.012466141,-0.01680828,-0.013866832,0.0030324939,0.0046012667,-0.02933045,-0.010477161,-0.021668674,-0.001883928,0.013971883,-0.007857871,0.011485659,0.0127883,-0.0022095884,-0.0058163656,-0.032243885,-0.019553633,-0.019581648,-0.028223904,0.03330841,0.01911942,0.0077037946,0.033980742,0.04874401,0.026318965,0.0009025696,-0.0021850765,0.016233997,0.009118492,-0.023741696,-0.025086358,-0.004965446,-0.0013630465,0.026781194,-0.00019095345,-0.016093928,0.025688656,-0.0036733097,-0.016962357,-0.026655132,0.015421596,-0.038799115,-0.012879345,0.007034966,-0.017116433,-0.010715279,-0.03823884,-0.001713219,0.043505434,-0.012031928,0.011009424,-0.0050144703,0.0050669964,0.0052280757,0.024666151,0.008705288,0.015141458,0.0012842576,0.0048849066,-0.008775323,0.020464081,0.01911942,0.0063276174,-0.009349606,0.0032653587,0.00205026,0.0059459293,0.02498831,0.012725269,0.023671662,-0.002803131,-0.0026700653,0.0051650447,-0.020590143,-0.028420001,-0.019917812,0.0088873785,-0.016850302,-0.022789227,0.026725166,-0.019833772,-0.018769246,0.014357073,-0.008502188,0.03375663,0.0066322675,0.022649158,0.006583243,-0.0066182604,-0.016500128,0.020814253,-0.013656728,0.0049339305,0.025100365,0.017466605,-0.016780267,-0.03669808,0.029890724,0.01658417,0.017550645,-0.050732993,0.016079921,0.012052937,0.007154024,-0.027733663,0.011632731,-0.040591996,0.0071014985,-0.0004326819,-0.016640197,0.009587724,-0.012087955,-0.02344755,0.0021220455,-0.02033802,0.014847313,-0.009020444,-0.025772696,0.01118451,-0.014889334,-0.015659714,0.012347083,0.008313095,-0.004086513,0.021276481,0.026739173,0.00229363,-0.004086513,0.026136877,-0.010379113,0.007472681,0.033112314,-0.013628714,-0.009531695,0.0032916216,0.0022883774,0.003960451,0.0040690047,-0.02214491,-0.0032968742,0.0034439466,0.0018611668,0.036529996,-0.01987579,0.00012332638,-0.015967866,-0.0067058033,-0.0050389823,-0.016696226,0.0027208405,-0.0033318915,-0.0046397857,0.0061980532,0.0013831814,-0.0037468455,0.019035378,0.035493486,-0.018068902,-0.004447191,0.03249601,-0.015169472,0.03162758,0.036838148,0.0053786496,-0.041964673,-0.0019171943,-0.025870744,0.00048761518,0.0054556876,-0.02846202,-0.042721044,-0.004713322,0.0035717597,0.026795201,0.001591534,0.014693239,0.00249673,0.010035944,0.010498172,-0.024610125,-0.01321551,0.02042206,-0.023237448,0.006369638,0.020310005,-0.016570164,0.009020444,-0.03272012,0.006688295,0.03406478,-0.030451,-0.033420466,-0.0014208249,0.029694626,-0.028083835,-0.0018243988,-0.022074874,-0.008649261,-0.01825099,0.018671198,-0.0017604923,0.0037608526,0.022537103,0.02214491,-0.013859828,-0.005259591,-0.0077878362,-0.013964879,-0.014763273,0.005133529,0.012515166,-0.012326072,0.012115968,0.029974764,0.021542612,-0.04148844,-0.030507026,-0.013047428,-0.050116688,-0.0072905915,-0.0051300274,-0.0033896698,0.023783717,0.038266852,0.012648231,-0.0056027602,0.006499202,0.0060474793,-0.012466141,0.00063118595,0.01398589,-0.025730675,0.0013893094,-0.0061735413,-0.016850302,-0.02571667,0.0020152428,0.010063958,0.031795666,0.020225964,-0.035857666,-0.002624543,-0.0058058603,0.016332045,0.021136412,0.008460168,0.0035840156,-0.049332302,-2.8260016e-05,-0.0029589578,-0.0055222204,-0.0005594006,-0.012669241,-0.02697729,-0.0048498893,-0.002458211,-0.023671662,0.0021868274,-0.00976281,-0.018054895,0.007878882,0.0013901849,-0.016738245,0.03616582,0.014889334,0.0011897112,-0.0019592152,0.0014952366,-0.022579124,-0.012087955,-0.022789227,-0.008677275,0.015757764,-0.018909315,0.010694268,-0.042216796,0.0040549976,0.0030885215,-0.028349966,-0.020436067,0.010302075,0.011009424,-0.0006469437,-0.024021834,0.008390133,-0.027985787,-0.027089346,0.006485195,0.010771306,-0.01776075,0.014973376,-0.016191976,-0.029302435,-0.020814253,0.021850765,-0.0032811165,-0.008880375,0.044850096,0.19307111,0.016654205,0.0143220555,0.021850765,-0.03330841,0.024217932,0.0076267566,0.032019775,0.009867861,0.019497605,-0.02539451,-0.00013634842,0.0054206704,0.0010610227,0.019497605,-0.007311602,-0.03546547,-0.039387405,-0.0110794585,-0.016248005,-0.0012203512,0.0020607652,-0.0071505224,-0.0247642,0.00840414,0.00032828673,-0.027439518,-0.008327102,0.023615634,0.020842267,-0.01743859,-0.010295072,7.3317366e-05,-0.011597713,0.0019329521,-0.006709305,-0.0025877748,0.013999897,0.03353252,0.0030149852,-0.022649158,-0.00448571,-0.0014794789,0.00021218265,0.017116433,0.011219528,0.015533651,-0.020183943,0.007297595,0.009657757,-0.0073676296,-0.023811731,0.013425614,0.0320758,-0.007374633,-0.0017902569,0.04207673,-0.0056622894,0.0055957567,0.025464544,0.0006136773,0.033868685,-0.0049619447,-0.01317349,0.0028819197,0.014413101,-0.023195427,-0.011401617,0.007773829,-0.009566713,0.03168361,-0.019133426,-0.010946393,-0.007045471,-0.014875327,-0.019371543,0.03112333,0.021850765,0.017102426,0.0011249292,-0.0017902569,-0.015967866,0.005553736,-0.0023251455,0.005616767,-0.03258005,0.00239518,0.012010917,-0.030479014,0.014707245,0.014693239,-0.012676245,0.0025002316,-0.0014567176,0.001453216,-0.0006863381,-0.0046047685,0.020043874,-0.01889531,0.008719295,-0.0043211286,0.02571667,0.025058344,-0.008271075,0.016696226,-0.021052372,-0.0010837839,0.02074422,0.0016431845,-0.02399382,-0.0031165353,-0.050536897,-0.010295072,-0.011037437,-0.0070034503,0.01595386,0.005690303,-0.023713682,-0.0030885215,0.014399094,-0.017690714,-0.03249601,-0.0032583552,-0.0063626347,-0.03258005,0.0077598225,-0.030479014,0.011114475,-0.0024949792,-0.020996343,0.022579124,0.011051444,0.019091405,0.015449611,0.005476698,0.004345641,-0.014539163,-0.013208507,-0.009468664,0.0033476492,-0.0048113703,-0.019651681,0.023321489,-0.00550121,-0.017732736,-0.0024494566,0.022789227,0.006457181,-0.017802771,-0.017648695,-0.00935661,-0.008880375,0.0078088464,-0.029078325,0.039527472,0.0005432051,0.012963386,-0.02074422,0.024442041,0.0070419693,-0.002407436,0.032187857,0.017004376,0.0013219012,-0.012683248,0.006012462,-0.17973654,0.010070961,0.017088419,-0.019147433,-0.011940883,-0.009223544,0.0019189452,-0.011856841,0.0013639219,-0.011394613,-4.8203434e-05,0.016696226,-0.027705649,0.009062464,-0.003158556,0.014931355,-0.003935939,0.021794736,0.0403959,0.009167517,0.020141922,-0.0034071784,0.040339872,0.00056859263,0.020450074,0.0023111387,-0.021402543,0.05698007,-0.0026648128,-0.002431948,-0.009083475,-0.021318503,0.03731438,0.0019399556,0.003323137,-0.015085431,-0.011170503,-0.007738812,-0.012578197,0.014343066,0.011457644,0.020057881,-0.002661311,-0.003489469,-0.013390597,0.02919038,0.022761213,0.0027033319,0.032187857,-0.0046677995,0.014224008,-0.038855143,-0.0036943199,0.013362583,0.030983262,0.0061665378,-0.00024971677,0.028167877,0.0017604923,0.0014103198,-0.018279005,-0.0072695813,0.009685772,0.0012466141,-0.011702766,-0.02376971,-0.03737041,0.016976364,-0.0044121738,0.030422986,-0.041768577,0.01353767,-0.020169936,-0.011450641,0.023027344,0.00026241053,-0.024245944,0.02001586,0.030030793,0.01897935,-0.0074236565,0.051181216,-0.007276585,-0.012550183,-0.0032758638,-0.0003792806,-0.008208044,0.010841341,0.009825841,-0.014889334,-0.0025965292,-0.039779596,0.0047308304,-0.03610979,0.01897935,0.020646172,0.0077318083,0.0028801688,0.027509551,-0.008733302,-0.0014217003,0.020884288,-0.026417013,-0.0062120603,0.035045266,0.006114012,-0.01776075,0.016864307,0.032411966,0.016486121,-0.018447088,-0.013684741,0.025226427,0.013705752,-0.0074516707,0.024203924,0.0039429422,-0.006621762,-0.0073466194,0.0085582165,0.010638241,0.013607704,-0.0075567225,0.004188063,0.0018156444,-0.020225964,-0.09827241,-0.0064361705,0.028321952,0.0036663061,-0.011723775,0.02309738,0.011499665,0.015967866,-0.014987382,0.02178073,-0.032103814,-0.027173387,-0.002176322,-0.0026403007,0.031095317,0.033196352,-0.019651681,-0.0023654152,0.03669808,0.027117359,-0.008208044,-0.0355215,0.0139298625,-0.015393582,0.01857315,0.0096087335,-0.004328132,0.024358,0.01599588,0.02620691,0.024792213,-0.04003172,0.038070757,0.0050249756,0.011121479,-0.014217004,-0.02001586,-0.0068213604,0.008418147,-0.03190772,-0.004965446,-0.0070664813,0.010554199,-0.010519182,0.014791287,-0.035605542,-0.007843864,0.003988465,0.00048323802,-0.023489572,-0.013691745,-0.008131006,-0.0010365106,0.004394665,-0.0062855966,-0.0065377206,0.018587157,0.012017921,-0.014469128,0.003030743,0.020085895,-0.0009008188,-0.027803697,0.018839281,0.007010454,0.024792213,-0.03515732,-0.00015112132,0.019105412,-7.08005e-05,-0.04569051,0.034905195,-0.021388536,-0.0060474793,-0.022761213,-0.0034491993,-0.016290026,1.5210618e-05,0.024680158,0.0109393895,-0.016752252,-0.024077863,0.008257068,-0.017788764,0.00917452,-0.0022726196,6.3742336e-05,0.017858798,0.020239972,-0.039303362,0.03975158,0.027579587,0.029218394,-0.017340543,-0.006649776,0.017228488,0.013670735,0.04104022,-0.038266852,-0.01956764,-0.05712014,0.01301241,-0.070426695,0.018293012,0.008208044,0.020043874,-0.002025748,-0.0012264792,0.017928833,0.008873371,-0.022116896,0.0025580102,0.013810804,0.021514598,-0.015925845,0.0031533034,-0.012052937,-0.0021325506,0.0022831247,0.0056868014,0.023825737,0.001183583,-0.019917812,0.009244555,0.028139863,-0.013859828,-0.009685772,0.0008180905,0.002356661,0.022481075,0.0043421392,-0.010028941,0.021206448,-0.015379576,-0.010330089,0.018965343,-0.009020444,-0.014665225,0.0103440955,-0.006786343,0.028069828,0.006810855,-0.028013801,-0.018951336,-0.0055572377,-0.009062464,-0.002764612,0.0035962716,0.011009424,0.0028013801,0.015365569,-0.0042580976,0.025954787,0.018853288,-0.014945362,-0.0059424276,-0.0011152994,-0.035493486,0.0023881765,0.026851228,0.0255766,-0.0033073793,0.013432617,0.024119882,0.015057417,0.0057393275,-0.016850302,-0.00048061175,0.015057417,0.0037853646,0.015603686,-0.03627787,-0.03669808,-0.035773624,0.0075147017,0.004594263,0.015967866,-0.029694626,-0.012844328,0.008166023,0.0040690047,0.0033073793,-0.004930429,-0.023671662,-0.044429887,0.048603944,0.0029029301,0.0062890984,-0.009349606,0.015463617,-0.019721717,0.011821824,-0.026234925,0.00083559914,0.011730779,0.003121788,-0.03616582,-0.0032058293,0.015519645,-0.0044646994,0.00062462024,0.03568958,0.0062996033,-0.000974355,-0.0038028732,-0.010561203,-0.036445953,0.010995417,0.0009209537,-0.020856274,0.015281527,-0.0024774706,-0.005711314,-0.009349606,-0.02535249,0.008411144,-0.007010454,-0.0060334723,0.0048708995,-0.0058653895,-0.009223544,0.010176013,0.016163964,0.0021167928,-0.004751841,0.00032675473,0.024862248,0.020057881,0.026178896,-0.003988465,0.010757299,-0.01382481,0.011436634,-0.0025860239,-0.007675781,-0.019735722,-0.022312993,0.013971883,0.005389155,0.0036242856,-0.018110922,0.096983775,-0.0026648128,-0.0063136104,0.004678305,-0.00438416,0.00899243,0.008880375,0.008432154,-0.012438128,-0.017802771,0.043365363,-0.013054431,-0.0056482824,-0.053898554,-0.0048113703,0.008053968,-0.030142847,0.014847313,-0.00858623,0.007006952,0.010995417,0.0106102275,0.013754776,0.008642257,-0.04409372,0.00019631546,0.0036522993,-0.015085431,-0.010743293,-0.0073256087,0.006709305,-0.022621144,-0.0098118335,-0.023727689,0.0022183429,-0.010785313,-0.0036417942,-0.008327102,0.027677635,0.016430095,-0.00069859414,0.011989906,-0.015099438,-0.0010093723,-0.003921932,0.0057848496,0.0037748595,-0.017746743,-0.004331634]','plot a map of population by admin1 for Haiti using HAPI data as an image','{"mem_type": "memory", "custom_id": "6d99b884-06d8-452e-9ba1-ed5e6417b381"}','6d99b884-06d8-452e-9ba1-ed5e6417b381','b182da75-30ff-457b-af16-2adeb40a6a30'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.015268016,-0.004117528,-0.01321616,-0.009209169,0.0016692915,0.03142033,-0.01890194,0.008843013,-0.0026459952,-0.048995823,-0.0052781734,0.0065666283,-0.00945097,-0.016152315,0.00013331446,0.015958875,0.009513147,-0.03130979,0.0048014796,-0.0074405666,-0.026114523,0.013734305,0.025354577,-0.00910554,-0.0005604605,-0.00043977585,0.011938067,-0.029099042,-0.006756615,0.0022660221,0.018874306,-0.02865689,0.0071987654,-0.04261227,-0.0037928238,-0.0036615604,-0.00040134674,-0.00423152,0.012083148,0.0102247335,-0.0081659695,-0.009837852,-0.006051937,-0.032884955,0.00019721907,0.013603042,0.01153046,0.0059413994,-0.012732558,0.03937904,0.009133174,0.0383013,-0.019924413,-0.01351323,0.007986346,0.01736823,-0.0076270993,-0.01583452,-0.008110701,-0.024428826,0.019993499,-0.0074820183,-0.026888289,0.0074405666,-0.032221727,-0.03567603,0.0073714806,0.009001911,0.039959364,0.0025561834,0.044436138,0.03979356,-0.015654895,-0.018763768,0.019205919,-0.000797512,-0.031226892,-0.0076961853,0.003407669,0.0048118425,0.024539363,-0.03084001,-0.0010328363,0.0029637911,0.007419841,-0.004646036,-0.007855083,0.042557,0.0010311091,-0.0017703299,0.013644493,0.021292318,0.026307965,-6.881617e-05,-0.006791158,-0.0018238715,-0.009222986,0.021402854,0.022978017,-0.016760273,-0.008172878,-7.523901e-05,-0.033023126,-0.011039949,-0.03479173,-0.014231725,-0.00051641813,0.008007072,0.029596461,-0.016815541,-0.014521887,0.028960869,0.003751372,-0.031779576,-0.015682532,-0.028435815,0.006193564,-0.00040069906,-0.020076403,-0.02434592,0.0155305425,0.018404521,0.009292072,-0.017699843,-0.0010103834,0.031337425,-0.0076823677,-0.032829687,-0.001725424,-0.012041696,0.0073922067,-0.0047876625,0.010245459,-0.010065836,-0.019109199,0.0063144644,0.0024301014,-0.0007003597,-0.03454302,-0.0383013,0.021817371,0.018321617,0.02097452,-0.012628929,-0.010335271,0.0416727,0.025658557,0.0035510226,-0.0024059212,-0.01805909,0.003917178,-0.023530705,-0.0009110722,-0.0007530378,-0.010362905,0.017188607,-0.006846427,-0.0041589793,-0.008794652,-0.012898364,-0.009015728,0.007336938,-0.0051883613,0.023544522,0.041562162,0.033935063,-0.023530705,-0.02172065,-0.004048442,-0.0035354781,-0.0051503642,0.013651402,-0.0059552165,-0.019012477,0.014328445,-0.002930975,-0.019440811,0.022895113,-0.013527047,-0.021983176,-0.0009887939,0.025769094,0.017741295,0.01989678,-0.007675459,-0.013223069,0.026805384,0.0039517214,0.018819036,-0.013596133,0.028546352,0.00023467666,-0.0047842083,0.0011468283,-0.63094896,-0.029099042,-0.0016606557,-0.032276995,0.01667737,-0.0047082133,0.017064251,0.0035993827,-0.017893285,0.013976106,-0.0020898527,0.02737189,0.002530276,-0.028200923,-0.0023005651,-0.015571994,-0.024221566,-0.014217908,0.030895278,0.02355834,-0.025962535,0.003979356,0.009789492,0.007751454,0.011806804,0.019882962,0.031696673,0.0003769507,-0.0044215065,0.021927908,-0.019109199,0.009513147,-0.008718658,-0.017091885,0.04131345,0.009962207,-0.020394199,0.008490674,0.0022660221,0.027634418,-0.020104038,-0.009091723,0.019620435,0.017589305,-0.006172838,-0.001863596,-0.014259359,-0.012255864,0.006031211,-0.039600115,-4.0264207e-05,0.0020069494,-0.024691353,0.006777341,0.013326698,0.0018186901,-0.0036062915,-0.008456131,0.01978624,0.0039413585,0.0027064455,-0.011979519,-0.027993664,-0.0031710493,-0.0065804454,0.023130005,-0.01617995,0.005437071,0.0030017884,-0.024926245,-0.0057375953,-0.004953469,0.010756697,-0.017782746,0.018432155,0.02003495,0.011219572,-0.014756778,-0.014190273,2.1144106e-05,-0.0016606557,0.01192425,-0.028352913,0.012407853,-0.0039862646,-0.0002996607,-0.040650226,0.0063870046,0.0026874468,0.022715488,0.007067502,0.013223069,0.008414679,-0.011827529,-0.012456214,0.011026132,-0.0018566874,0.010556347,0.011813712,-0.02097452,-0.018777585,-0.023572156,-0.0038273667,0.0093404325,0.055821523,0.007903443,-0.038771085,-0.0055199745,0.040125173,-0.018086724,-0.010929411,-0.0029914253,-0.030314956,-0.014687693,0.032636244,-0.03354818,0.02846345,-0.010190191,0.025368394,0.0002463349,0.04244646,0.014604789,0.02196936,-0.021679198,0.009278255,0.030314956,0.0034111233,-0.0037099204,-0.02152721,-0.0045907674,-0.00050475984,0.007212583,0.016939897,-0.012905273,0.023834683,-0.0036270171,0.00040393745,0.0046391273,-0.017976187,-0.0074474756,0.009409518,0.0032487712,0.0038619097,-0.03562076,-0.0073162117,-0.014770596,-0.02549275,0.007012233,-0.0016157498,-0.014135004,-0.0019499535,-0.02068436,-0.0072333086,0.022176618,0.029430654,-0.0031572322,0.025009148,-0.0023195636,0.00043437848,8.355093e-05,0.016691187,0.027758772,-0.014003741,-0.010169465,0.0075994646,-0.009672046,-0.0031244163,0.045652054,0.020490918,-0.009547691,0.0112610245,-0.021941725,-0.021416672,0.03686431,-0.007827448,0.02321291,-0.00791726,-0.0035648397,-0.003948267,-0.019855328,-0.0033230386,0.0125253,-0.005343805,-0.025934901,0.036311623,-0.0069466014,-0.00082082854,-0.008732475,-0.011848256,0.033769254,-0.01953753,0.033271834,-0.0016304306,0.016014144,0.009506239,0.032000653,-0.009976024,0.019634252,0.006480271,0.017686026,0.042695172,0.013285246,-0.0012340493,0.007931077,0.03341001,-0.043082055,-0.0055579715,-0.016470112,0.0044076894,0.008083067,0.016414843,-0.03736173,-0.008932825,-0.007267852,-0.003682286,0.010369814,-0.0067946124,-0.0044215065,-0.033327106,0.0036304716,0.0153923705,-0.012331858,0.021237047,0.0074820183,0.0021313042,-0.024415005,-0.008504491,0.015627261,0.011157395,-0.03274678,-0.0060139396,0.015240381,-0.015378553,0.0015190293,0.0357313,0.017326778,0.0064284564,0.0077790883,0.019012477,0.010128013,-0.004507864,0.010017475,0.009119357,-0.026459955,0.018183446,-0.00011712243,0.019882962,0.015903605,-0.02587963,0.02608689,0.0036995576,-0.0022591134,-0.009064089,0.022231886,0.0067842496,-0.0026598126,-0.005423254,0.01796237,0.043911085,0.036256354,0.036698505,0.009955298,-0.007834356,-0.003098509,-0.016829358,-0.02811802,-0.0071158623,0.0029810625,-0.025548019,0.006324827,-0.00821433,-0.0024680987,-0.003782461,-0.021057425,-0.005288536,-0.012518391,0.0017772384,-0.009070997,0.020062586,0.0023921041,-0.028739793,-0.027288986,0.037278827,-0.004739302,-0.006435365,-0.028325278,-0.030121515,-0.0018307802,-0.028076569,-0.0062246523,0.003989719,0.007931077,0.031116353,-0.00890519,-0.022991834,0.010604707,0.019565167,0.0094924215,0.008380136,0.026791567,-0.01687081,-0.003302313,-0.014328445,-0.028822698,0.048470765,0.016110864,-0.0016157498,-0.016953714,-0.015875971,-0.010963954,-0.002839436,-0.007634008,-0.008953551,0.04073313,0.0081659695,0.012573659,-0.036007643,0.0057859556,0.027136998,0.008324868,-0.0036270171,-0.040539686,-0.017492585,0.028573988,0.033327106,-0.0032142282,0.012711832,-0.015281833,-0.01949608,0.001476714,-0.026584309,-0.017920919,0.0070640477,0.008207422,-0.011122853,0.00945097,0.015516725,-0.0021589387,0.031254523,0.0012210957,-0.000543189,-0.029126676,-0.016014144,0.00078499014,0.004324786,0.001173599,-0.0003624858,0.019869145,0.022328608,0.031365063,0.039848827,0.03205592,0.0030276957,-0.0070225964,-0.013257612,0.013575408,0.0032919499,0.028739793,-0.0030276957,0.019869145,0.016663553,-0.0011459646,0.011288659,-0.0001129125,0.02227334,0.009754948,-0.00046201292,-0.019855328,0.006573537,-0.0032574069,-0.0015198928,0.014715327,-0.008635755,-0.011074492,-0.0019050476,0.005457797,0.0060553914,-0.00890519,-0.012290407,0.014632423,0.0008311914,-0.024511728,0.0094164265,-0.009444062,-0.031779576,0.003899907,0.021195596,-0.025354577,-0.025299309,-0.01924737,-0.04374528,-0.02058764,-0.003359309,-0.0002571296,0.012255864,-0.035814203,-0.013001993,0.01623522,0.010618524,0.030370224,0.012946725,-0.019758606,-0.007675459,-0.025257858,-0.008870647,-0.00949933,-0.00871175,-0.026155977,-0.015240381,-0.0013782665,-0.027827859,-0.018349253,-0.003044967,-0.0004935334,-0.0018100543,-0.012020971,0.034653556,-0.01692608,-0.014853499,0.0021468487,0.0050674607,-0.006390459,0.0032988586,-0.0069086044,0.030425493,-0.034764096,-0.022895113,-0.014577155,0.026446138,0.00826269,-0.012262773,-0.010597798,-0.009989841,-0.029209578,-0.0001340701,-0.018031456,-0.001332497,-0.014480434,0.02202463,-0.018971026,-0.0043075145,-0.0065148138,-0.0014119459,-0.011986428,-0.013368149,0.016401025,-0.017395865,0.0037444634,-0.027634418,0.024539363,0.0006131386,-0.009734223,-0.02053237,-0.0062453784,-0.021250864,0.011799895,0.00059284456,-0.003578657,-0.021748284,-0.0056166947,-0.023130005,-0.007385298,0.0025233675,-0.01627667,-0.014839682,0.0034974809,0.0056305123,-0.025147319,-0.0025682736,-0.0225635,-0.00087782455,0.016746456,-0.013499413,0.022895113,0.012269681,-0.004711668,-0.010625432,-0.030536031,-0.016304305,-0.022259522,-0.02846345,0.024069576,0.014328445,0.011613363,0.041396353,0.04275044,0.029071407,-0.007931077,-0.0056719636,0.020366564,0.0166221,-0.014784413,-0.007861991,-0.00331613,-0.002803166,0.016166134,-0.0005069188,-0.0035648397,0.021195596,0.006183201,-0.015571994,-0.026225062,0.011502826,-0.031751942,-0.026017804,0.003371399,-0.012490757,-0.01093632,-0.03130979,0.0034335763,0.039406676,-0.0055303373,0.018722316,-0.0048256596,-0.00025864085,-0.0014749869,0.03360345,0.012815461,0.013996832,0.001943045,0.010521804,-0.011509734,0.029983342,0.026266513,0.017299144,-0.0026183608,0.006449182,0.016470112,0.0005708234,0.029485922,0.0057030525,0.023088554,-0.0028428906,-0.010266185,0.0016779272,-0.022853661,-0.019357909,-0.012898364,0.0036408345,-0.01608323,-0.016511563,0.03153087,-0.02574146,-0.016705004,0.012684197,-0.015378553,0.034211405,0.0072747604,0.024539363,0.0046978504,-0.009927664,-0.02717845,0.0053921654,-0.022010813,0.0021658472,0.023917586,0.021416672,-0.011516643,-0.03772098,0.02108506,0.011944976,0.015433822,-0.056401845,0.015447639,0.005696144,0.01173081,-0.02549275,0.008449223,-0.0366156,0.008746292,-0.0002435283,-0.018570326,0.008020889,-0.01385866,-0.019952048,0.0019240463,-0.016760273,0.015806885,-0.013050353,-0.024497911,0.004652945,-0.014010649,-0.010273094,0.015848337,0.012069331,0.004359329,0.017547853,0.009761857,0.00038321165,-0.003751372,0.0174235,-0.007882717,0.005091641,0.03180721,-0.015420005,-0.011178121,0.0054059825,0.003568294,0.014839682,0.0024076484,-0.018141994,0.0018048729,0.0028238918,0.011951884,0.03849474,-0.031199256,-0.0122075025,-0.025851997,-0.008331777,0.007647825,-0.02335108,0.0111850295,0.0012236865,-0.012428579,-0.005271265,0.016691187,-0.0113232015,0.01470151,0.032276995,-0.010929411,-0.007122771,0.030922912,-0.020228392,0.022508232,0.028960869,0.01627667,-0.039627753,0.004380055,-0.02865689,-0.003716829,0.009533873,-0.022038447,-0.037914418,-0.010003658,0.0036546516,0.026874471,0.014577155,0.012649654,0.0035061166,0.01874995,-0.0028722521,-0.030757107,-0.020104038,0.025064416,-0.015945058,0.008642663,0.008048523,-0.023226727,0.007979438,-0.035095707,0.0046011303,0.030176783,-0.033713985,-0.03142033,0.0030536032,0.027040277,-0.02241151,0.008801561,-0.013140165,-0.0063179187,-0.017078068,0.01968952,-0.0015432095,0.0044215065,0.021361403,0.020546189,-0.008428496,0.002905068,-0.013568499,-0.025686191,-0.01405901,-0.00041149373,0.0006308419,-0.00692933,0.014964037,0.028601622,0.018128177,-0.03567603,-0.02746861,-0.013167799,-0.043634742,-0.015765434,-0.00012068468,0.0022245704,0.028131837,0.045652054,0.009526964,-0.010494169,-0.0014395803,-0.0031969566,-0.02009022,0.0060553914,0.014031375,-0.026335599,-0.006425002,-0.006462999,-0.025962535,-0.020601457,0.0033869434,0.0038239125,0.02509205,0.021900274,-0.027579147,-0.01984151,-0.0035959284,0.002516459,0.017603122,0.0030276957,3.1493517e-05,-0.039765924,0.0018601416,-0.0065251766,-0.018155811,-0.009022636,-0.00811761,-0.028090386,-0.004027716,4.6956917e-05,-0.013388875,0.0065562655,-0.01187589,-0.018832853,0.012110783,0.010383631,-0.0059310365,0.027579147,0.022218069,0.008988094,-0.006307556,-0.0010794693,-0.015143661,-0.021499574,-0.018003821,-0.007592556,0.015613446,-0.020919252,0.013437236,-0.04896819,0.0008657345,0.005423254,-0.021734467,-0.025603287,0.016331939,0.016746456,-0.011205755,-0.023475436,0.013202343,-0.024124844,-0.025022965,0.0058170445,0.006352462,-0.013734305,0.015268016,-0.005367985,-0.019717155,-0.012048605,0.01677409,-0.00037543944,-0.01177917,0.046149474,0.1952095,0.0039517214,0.0234478,0.016511563,-0.02499533,0.020698177,0.01009347,0.021651564,0.01346487,0.016497746,-0.029099042,0.009637502,-0.0028584348,0.0030812374,0.028573988,-0.014190273,-0.03843947,-0.03399033,-0.019952048,-0.0025354575,0.0023644697,-0.0066702575,-0.005595969,-0.019924413,0.003190048,0.0006373187,-0.02965173,-0.0033834889,0.015779251,0.023945222,-0.008269599,-0.0074267494,0.0036166543,-0.00017303893,0.00037803018,-0.00020445151,-0.007039868,0.007502744,0.041258182,-0.005426708,-0.023820866,-0.0075441957,-0.0051400014,0.00048964727,0.014881133,0.0033299474,0.008642663,-0.016884627,0.004062259,0.011599545,-0.015475273,-0.026639579,0.012836187,0.02821474,-0.0033057672,-0.00058377703,0.03153087,-0.005709961,1.0207732e-05,0.024732804,0.004887837,0.032442804,-0.00031131896,-0.022991834,0.0038964527,0.015406188,-0.021955542,-0.016760273,0.0066391686,-0.008027798,0.036173448,-0.019827694,-0.016290488,-0.006701346,-0.013616859,-0.013948472,0.028380547,0.025188772,0.01796237,0.0064733624,-0.0011148759,-0.0077790883,0.0055303373,-0.0036788317,-0.0019551348,-0.025976352,0.008545943,0.010604707,-0.0408713,0.0018463245,0.008621938,-0.017920919,0.001908502,0.0047842083,-0.0014404439,-0.0033869434,-0.0122075025,0.02147194,-0.01989678,-0.0014542611,-0.007813631,0.035261516,0.022687854,-0.00091452646,0.013036536,-0.015917424,0.0024853703,0.012394036,0.000398756,-0.021167962,-0.0031002362,-0.05319625,-0.003373126,-0.0105287125,-0.019371726,0.014273176,0.0153923705,-0.02965173,-0.007924168,0.009029545,-0.02018694,-0.029928073,-0.0020915798,0.006065754,-0.032691512,0.009526964,-0.022287156,0.007931077,-0.014646241,-0.01767221,0.025851997,0.0037686436,0.02231479,0.018349253,0.0048567485,-0.0075718304,-0.026515223,-0.021306135,-0.0036373802,0.0012798188,0.0015397551,-0.017768929,0.018128177,-0.0060692085,-0.007309303,0.0065528112,0.01821108,0.018280165,-0.016801724,-0.020863984,-0.008435405,-0.015627261,0.010618524,-0.027150815,0.039904095,-0.0018428701,0.009506239,-0.026294148,0.019468445,0.0023592883,-0.0043040602,0.028739793,0.01771366,-0.0004205613,-0.010128013,0.015475273,-0.17719187,0.007751454,0.016981348,-0.025561836,-0.01098468,-0.0040415335,-0.00096720457,-0.007848174,0.0071504056,-0.010369814,0.0059655793,0.02811802,-0.030010976,0.009665137,0.012863821,0.014964037,-0.00487402,0.020269843,0.036587965,0.0059413994,0.0155305425,-0.010611615,0.041921407,0.0009084815,0.023655059,0.0025717278,-0.024884792,0.05062625,-0.014231725,0.005709961,-0.0020622183,-0.01836307,0.032580975,-0.00016936874,-0.0019534077,-0.013347424,-0.015129844,-0.011896616,-0.013568499,0.019330274,0.01623522,0.011198847,-0.003944813,-0.0054750685,-0.0077929054,0.025962535,0.015613446,-0.0035890199,0.036394525,-0.0033524001,0.015820703,-0.035537858,0.00058636774,0.012698015,0.031282157,0.014286994,0.005412891,0.029209578,0.006390459,0.0008609848,-0.028380547,-0.009616776,0.011343927,0.003989719,-0.014425166,-0.021734467,-0.027855493,0.026045438,0.0046045845,0.021996995,-0.035897106,0.0072194915,-0.007634008,-0.013865569,0.028712159,-0.008096884,-0.022922747,0.0143560795,0.033658717,0.018183446,-0.01014183,0.052892275,0.00037587123,-0.006183201,-0.0062488327,0.005077824,-0.006563174,0.01731296,0.0050052833,-0.0118413465,0.006165929,-0.03285732,-0.00014562042,-0.029872805,0.018280165,0.03216646,0.013741214,0.006065754,0.024415005,-0.015641078,0.0012055513,0.033935063,-0.031724308,0.0003732805,0.029872805,0.014314628,-0.02202463,0.012449305,0.02628033,0.015558177,-0.00574105,-0.002791076,0.026694847,0.0076685506,-0.007661642,0.028684525,0.011419922,-0.007136588,-0.0010026111,0.012145326,0.013098714,0.005215996,0.0024007398,0.0019741335,0.00053325784,-0.014342262,-0.09517293,-0.013271429,0.03691958,-0.00039767654,-0.015074574,0.01177917,0.007799814,0.012594386,-0.012255864,0.025437482,-0.03224936,-0.018667048,0.00039486992,-0.010197099,0.032194093,0.020449467,-0.024580814,-0.005906856,0.04261227,0.025534201,-0.014190273,-0.03973829,0.013844843,-0.019634252,0.01642866,0.003796278,-0.005437071,0.022245705,0.019565167,0.022770759,0.016041778,-0.045237537,0.02965173,0.005157273,0.0062039266,-0.017105702,-0.013962289,-0.016705004,0.014867316,-0.030010976,-0.0030518756,-0.009423336,0.0092022605,-0.012269681,0.01034218,-0.032636244,-0.008076157,0.009229895,0.0022107533,-0.019523714,-0.006677166,-0.013278337,0.0021330314,0.009195352,0.0014318081,-0.00865648,0.02187264,0.0046702162,-0.017133338,0.012988176,0.023641242,0.0021796646,-0.025119685,0.015378553,0.013499413,0.025368394,-0.038826354,-0.0040518963,0.0123733105,0.0028584348,-0.04924453,0.030812375,-0.019205919,-0.0034145776,-0.01978624,0.00040674408,-0.017216241,-0.0073714806,0.030563666,0.0076201903,-0.01746495,-0.02330963,0.009457879,-0.015903605,0.013147074,-0.0014698055,0.0019136834,0.011012315,0.019551348,-0.04186614,0.037748612,0.031641405,0.032442804,-0.016967531,-0.0051918156,0.015723983,-0.0016269763,0.043026786,-0.033327106,-0.0096305935,-0.044574313,0.00014831909,-0.060298298,0.015212746,0.02093307,0.012318041,-0.002644268,-0.005202179,0.014031375,0.0007292895,-0.01781038,-0.0017547855,0.009775674,0.018639414,-0.022466779,-0.0011951885,-0.0075303786,-0.009720406,0.0035821113,0.0059448536,0.028877966,-0.0030397857,-0.014100461,0.015917424,0.024760438,-0.016815541,-0.01796237,-0.0011969156,0.0021917545,0.022135166,-0.0008048524,-0.0059690336,0.025934901,-0.0111850295,-0.015751617,0.01731296,-0.0038135496,-0.020173123,0.008497583,-0.0030346042,0.029817536,0.012186777,-0.0170228,-0.017838014,0.004424961,-0.016746456,-0.010998498,-0.00032772688,0.01167554,-0.0033817617,0.004241883,-0.011060675,0.024981514,0.014825865,-0.016290488,-0.014881133,-0.0029948798,-0.038577642,0.0049603777,0.021389037,0.021306135,-0.004393872,0.021347586,0.023295812,0.016553015,0.013229977,-0.002735807,-0.00065070414,0.0027409885,0.0041520707,0.008366319,-0.030370224,-0.03656033,-0.027399525,-0.0009767038,0.012981268,0.009347341,-0.027496245,-0.003338583,0.003167595,-0.00014281379,0.011868982,0.00011777011,-0.03305076,-0.048028614,0.048581302,0.0015587539,0.0029655183,-0.007675459,0.016939897,-0.01850124,0.01167554,-0.011696266,0.0005820499,0.011447556,0.007861991,-0.0340456,-0.00059586705,0.014397531,-0.008787744,0.006925876,0.032995492,0.008504491,0.0022055719,-0.0029551552,-0.023047103,-0.03108872,0.0009559781,-0.0047289394,-0.022978017,0.019261187,0.008456131,-0.008290324,-0.00989312,-0.019344091,0.0073714806,-0.010328363,-0.009803309,0.006197018,-0.013927747,-0.0077652712,0.005091641,0.011661723,0.011039949,-0.014286994,-0.00013050785,0.022107532,0.025686191,0.02965173,0.0015958876,0.006894787,-0.01192425,0.005595969,-0.0066702575,-0.018819036,-0.024788072,-0.021817371,0.0037202833,0.00040134674,0.0022176618,-0.026017804,0.09456497,0.010321454,-0.0053265337,0.0056166947,-0.011143578,0.011786078,-0.0031278706,0.008110701,-0.012428579,-0.027095547,0.03216646,-0.020394199,-0.010155648,-0.05350023,0.0057445043,0.0044353236,-0.03191775,0.008925916,-0.013748122,0.0099345725,0.002221116,-0.0017625577,0.019482262,0.010086562,-0.034266677,0.0020000408,0.007896534,-0.012152234,-0.0025941806,-0.0003916315,0.005865405,-0.020104038,-0.006915513,-0.02445646,0.0024283743,-0.0070951367,0.0049154717,-0.0064837253,0.032580975,0.015571994,0.0025009145,0.004096802,-0.015654895,-0.00871175,-0.01667737,0.01113667,0.008200512,-0.020117855,-0.0063317358]','plot a map of population by admin1 or admin2 for a country using HAPI data as an image','{"mem_type": "recipe", "custom_id": "85c023b7-e2ec-44b6-ba7f-624a11be27c4"}','85c023b7-e2ec-44b6-ba7f-624a11be27c4','66cc0343-b8c8-4455-9e65-880e1cdc144b'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.0048532574,-0.008607796,0.0026593192,0.007810001,-0.0013139136,0.007173164,-0.024591703,0.00046144438,2.0775931e-05,-0.020224823,-0.013611516,0.032275736,-0.0011153395,-0.009125664,-0.0007527448,0.016571756,0.023961864,-0.012211873,0.02613131,-0.011924947,-0.02543149,0.02316407,0.042941004,-0.015941918,0.00091501576,0.0041079484,0.005441107,-0.03289158,0.0101544,0.011323101,0.008635789,-0.013184626,-0.012764731,-0.021008622,-0.0033993798,0.0019892408,-0.009076676,0.00037549762,0.02054674,0.00071731635,0.0009736258,-0.004398374,0.0065363264,-0.0055320836,-0.0037580382,0.007278137,0.030568175,0.0030284745,-0.009209642,0.018923156,0.0135485325,0.021820413,-0.008425843,-0.019720951,0.029308498,0.037678353,0.008117922,-0.018727206,0.0027677913,-0.023430001,0.008362859,0.0004570705,-0.03804226,-0.0006827627,-0.031267993,-0.03765036,-0.0088317385,0.012631766,0.0018562749,0.01832131,0.017943406,0.036110755,0.0035725855,0.008796748,0.011218128,0.010770243,-0.017523514,0.0024686179,0.016263835,-0.0012351838,0.02789486,-0.022408262,0.009006694,0.009279625,0.030344233,-0.020042868,-0.023443997,0.060800437,0.001296418,-0.0071801622,0.029448463,-0.0046188175,0.0074740867,-0.008264884,-0.013968425,-0.0025683425,-0.011749991,0.039189965,-0.002101212,-0.03524298,-0.003925995,-0.008075932,-0.026257277,-0.008775753,-0.030932082,0.0041884277,0.002839523,0.0005476098,0.007740019,-0.015466041,-0.030036312,0.022114338,0.00062152836,-0.03686656,-0.0015343572,-0.023751918,0.016543765,-0.0059939655,-0.0115960315,-0.02671916,0.012953684,0.025207546,0.01917509,-0.009202644,0.010959194,0.00711018,-0.006931726,-0.016543765,0.0030302242,-0.01480821,-0.008523817,0.015228102,0.011274113,-0.0023496484,-0.026747154,0.0410095,-0.027488964,0.015578013,-0.012099902,-0.027279017,0.020056864,0.017397545,0.010931201,0.0035655873,-0.019133102,0.035438925,0.012946685,0.029252512,-0.0067182803,-0.03031624,0.004867254,-0.025487475,0.018195342,-0.0038875048,-0.012995672,0.00667979,-0.005927482,0.013520539,-0.01965097,-0.00069588434,-0.018489266,-0.019511005,-0.001894765,0.013051658,0.00019802742,0.03667061,-0.0076420438,-0.013961426,-0.0026033334,0.008383853,0.0028290257,0.038686097,-0.020168835,-0.00456983,0.015578013,0.0040204707,-0.0052206633,0.024647688,-0.014402313,-0.002526353,-0.017509516,0.033675376,0.036250718,0.019874912,0.0017574251,-0.0087127695,0.02691511,-0.017971398,-0.010063424,-0.027139053,0.016893676,0.0053921193,0.0011293358,0.016151864,-0.6346535,-0.025375502,0.0050212145,-0.0164038,0.018881166,0.03283559,0.011113155,-0.0041709323,-0.020742688,0.021876398,-0.0021274553,0.03051219,-0.017789446,-0.047475845,0.00036412553,-0.024325771,-0.032387707,-0.015843943,-0.019287063,0.044144697,-0.001996239,0.029392477,-0.011805978,0.0021257058,0.0064243553,0.023024105,0.01535407,0.0053396327,0.023905879,0.013016667,-0.013331587,0.0008345364,0.0011940693,0.00066657935,0.048931472,-0.017173603,-0.0070576933,0.013408568,0.041541364,0.053662263,-0.024479732,-0.0011415827,0.03468312,0.023262044,-0.016067887,0.0032121777,-0.0058644987,0.010056425,0.008152912,-0.034207243,0.003273412,0.0128697045,-0.019133102,0.0013620263,0.019483011,-0.0027362995,0.006574817,-0.017915413,0.009132662,0.0049897223,0.0005143683,-0.0171876,-0.027251026,-0.007977958,-0.010483316,0.021708442,-0.012113898,0.024927618,0.004065959,-0.022870144,0.0060289563,0.018979141,-0.010574292,-0.0048602554,0.020294804,0.016949661,0.018601237,-0.014976166,-0.010427331,0.017649481,0.0014328831,-0.019804928,-0.022478245,0.011973934,0.0027345498,0.0089437105,-0.024815647,-0.0011547044,0.0073691136,0.0029934836,-0.000533176,0.008880726,-0.006049951,-0.034739107,-0.013443559,0.04268907,-0.014052403,0.0071136793,0.019287063,-0.040141724,-0.026593193,0.012995672,0.005860999,0.01644579,0.033703372,0.03012029,-0.0074320976,0.009643531,0.025879374,-0.026061328,-0.014668246,-0.010133405,-0.041961256,-0.009188647,0.026327262,-0.03734244,0.025907367,0.00648384,-0.0063018864,0.013457555,0.033563405,0.0004389189,0.034655128,-0.012015924,0.018909158,0.008649785,0.017089624,-0.0017801693,0.0022866644,-0.005951976,0.013009669,0.0063018864,0.0167957,-0.033675376,0.002038228,-0.0040834546,0.006938724,-0.011624024,-0.013534536,-0.023430001,-0.02340201,0.0053011426,0.0034098772,-0.005773522,-0.011330099,-0.012778728,0.0018212838,0.010462321,0.019832922,0.0025053585,-0.014150378,-0.0022796663,-0.015060145,-0.0022674194,0.012456811,0.007914973,0.021708442,-0.010378343,0.008180905,-0.007879983,-0.0019000137,0.0059589744,-0.0035498415,0.0006197788,0.0034291223,-0.0080269445,-0.0010357348,0.035998784,0.006350874,-0.0052206633,-0.0025945858,-0.028020827,-0.026425237,0.037818316,-0.0027765392,0.037790325,-0.02981237,0.0022481745,0.015116131,-0.033899322,0.040449645,-0.0060639475,-0.015480038,-0.007956963,0.012547787,0.00023312782,-0.008852733,0.01581595,0.01101518,0.020770682,-0.029308498,0.023346022,-0.013380575,0.023905879,-0.0012028171,0.011952939,-0.01535407,0.0049897223,-0.006634302,0.0026173298,0.035718855,0.011183137,-0.007313128,0.010966192,0.040281687,-0.026285272,-0.0016262087,-0.030540183,-0.017229589,0.02417181,0.028230773,-0.040673587,-0.0050632036,-0.0064733424,0.0070961835,-0.004303898,0.003856013,-0.0084818285,-0.027572943,-0.016473781,-0.011148145,-0.01651577,0.026467225,-0.011421076,-0.0019175091,-0.010126407,-0.013156632,0.00018195341,0.0054900944,-0.02140052,-0.00722915,0.017117618,-0.008845735,0.0018177847,0.03658663,-0.0073901084,-0.010140404,0.000984123,0.028608678,0.016319823,-0.014864195,-0.005098195,0.005514588,-0.0073971064,-0.012547787,-0.011456067,0.025179554,0.009048684,-0.037314445,0.024913622,0.011120153,0.022520235,-0.009272626,0.00785199,0.011204131,-0.009643531,0.01109216,0.0039050004,0.035606883,0.01823733,0.03932993,-0.0109102065,0.006613307,0.010875216,-0.016669732,-0.023597958,-0.035159,0.0062039117,-0.0129816765,0.012806721,-0.014626256,-0.0082019,0.0038455157,-0.02133054,0.0021274553,-0.016333818,0.03667061,0.0017915415,0.005577572,0.012393827,-0.023905879,-0.02366794,0.029868355,0.0033871331,-0.009377599,-0.04504047,-0.022156328,-0.012785726,-0.005276649,0.010805233,0.03269563,0.0033311474,0.013821462,-0.02163846,-0.0006963217,0.018349303,0.031827852,-0.0070576933,0.0025840884,0.018419284,0.0051506814,-0.0019629975,0.0026890615,-0.024227796,0.034123264,0.0030827108,-0.007970959,-0.016137868,-0.0056160623,0.0068127564,0.0009473825,-0.00010513715,-0.03471111,0.010539302,-0.006319382,0.0020609724,-0.015955916,0.013723487,0.011428074,0.02011285,-0.008082931,-0.039665844,-0.029896347,0.014087394,0.04316495,0.023681937,0.019888908,-0.016067887,-0.0012203126,-0.00037440413,-0.02222631,-0.018111363,0.013443559,0.015130127,0.00079735834,0.020042868,0.016263835,-0.0008389103,0.013723487,-0.0107912375,-0.014444303,-0.020756686,0.00027424228,0.00062152836,-0.014850199,-0.008222895,0.008488826,0.008075932,0.014311337,-0.0018685217,0.02793685,0.045488354,0.002675065,-0.012127895,-0.011924947,0.021890396,-0.0074250996,0.022492241,-0.01222587,0.014780217,0.020140843,-0.0041569355,0.021372529,0.0061654216,0.016613746,0.0034991044,-0.003238421,-0.0006604559,0.017117618,0.011784983,-0.02445174,0.02436776,-0.02874864,-0.0025246036,0.016585754,-0.014073398,-0.011050171,-0.003932993,-0.005098195,-0.0029374978,-0.0039574867,-0.009384598,-0.012260861,-0.009664525,-0.028608678,-0.011861963,0.042633086,-0.01995889,-0.01535407,0.0072571426,-0.029056562,-0.014780217,-0.016179858,0.0017705468,-0.0062109097,-0.042633086,-0.002402135,0.004457859,0.007166166,0.016067887,-0.001652452,-0.016417796,0.005472599,-0.015899928,-0.019678961,-0.00410095,-0.0014416309,-0.01675371,-0.0105602965,-0.011554042,-0.005206667,-0.019189088,-0.016333818,0.028972585,-0.005112191,-0.024549715,0.0021029615,-0.010357348,-0.025963353,-0.021568477,-0.009475574,0.0149341775,0.00061802927,-0.0007737394,0.011617025,-0.01945502,-0.026579197,-0.031687886,0.017985396,-0.012239866,-0.010343351,-0.0023741422,0.00066220545,-0.00075668126,0.023919877,-0.009188647,-0.016851686,-0.009678522,0.014920181,0.0069247275,0.028384734,0.013877448,-0.019986883,0.0012325594,-0.007019203,0.030008318,-0.0071556685,-0.0056615504,-0.023332026,0.008565807,0.007893979,-0.015256095,-0.027670918,-0.014213362,-0.014724231,0.020910647,-0.005203168,-0.018363299,-0.015689982,0.018895162,-0.02257622,0.0075300727,-0.004972227,-0.030876096,-0.018405288,-0.0013419064,0.0012806721,-0.013961426,0.012631766,-0.024521722,-0.012911694,-0.00048506333,0.0026313262,0.02140052,0.0060359547,-0.012204875,-0.014332332,-0.0076420438,-0.017047634,-0.032779608,-0.018923156,0.03647466,0.018531255,0.028860612,0.034011293,0.036894552,0.029280504,-0.0002952369,0.0016472033,0.005983468,0.00024362514,0.0043528853,-0.015004159,0.01023138,0.010070422,-0.0015929672,-0.011547044,-0.0050247135,-0.01312164,0.020910647,-0.009790493,-0.028006831,0.010343351,-0.017985396,-0.0018545253,0.017173603,-0.016109874,0.012281856,-0.04476054,-0.010126407,0.024633693,-0.008453836,0.019119104,0.02046276,0.0025770902,-0.002284915,0.026257277,0.005675547,-0.013877448,0.003967984,-0.013513541,-0.00667979,-0.0025665928,0.028510703,0.004331891,0.03675459,-0.0077750096,0.005812012,0.00038402667,0.0064348523,0.00022941003,0.024577707,0.009363603,-0.012561784,-0.012799723,-0.024283784,-0.021372529,-0.007313128,0.016347814,0.010917204,-0.02667717,0.017873423,-0.02347199,-0.029896347,-0.0035183495,0.0010436078,0.03527097,-0.0006788262,0.03734244,0.018503262,-0.004695798,-0.024465736,0.008719767,-0.024437742,0.0015571014,0.017887421,0.041849285,-0.029224519,-0.051926706,-0.02144251,0.010973191,0.010357348,-0.040477637,0.0035638378,0.007914973,0.009230637,-0.025571452,-0.003089709,-0.038490146,0.0024441243,-0.0053991177,-0.015382063,0.029700398,-0.01394743,-0.006242402,0.016039893,-0.034935057,0.03706251,-0.009433584,-0.008334866,-0.0065363264,-0.0070646917,-0.022408262,0.021708442,0.020854661,0.018727206,0.0031911829,0.03854613,0.030288247,0.0011905702,0.01738355,-0.0059939655,0.0085938,0.029896347,-0.02046276,-0.00011492371,0.02058873,-0.0070926845,0.022394266,-0.0010418582,-0.022240305,-0.0071801622,-0.011931945,-0.024325771,0.020476757,-0.016081883,-0.0037055514,-0.0005769148,-0.0030599665,-0.0025945858,-0.02253423,0.0032839093,0.014976166,-0.012953684,-0.01531208,0.016655736,0.007649042,-0.008047939,0.020056864,-0.016333818,-0.005315139,0.02778289,-0.026313264,0.019790933,0.020098854,0.008418844,-0.021386525,0.009713513,-0.038602117,0.004072957,0.006315883,-0.024157815,-0.019706955,-0.045208424,-0.008082931,0.022716183,0.03616674,0.010168397,0.0039224955,0.019846918,-0.009440583,-0.02222631,0.0017915415,0.0149341775,-0.03300355,-0.00062152836,-0.0060989386,-0.01585794,0.02054674,-0.03051219,-0.0071941586,-0.0032314227,-0.002592836,-0.013821462,-0.008558809,0.03031624,-0.0135485325,0.012813719,-0.010042429,-0.023905879,-0.010728253,0.025039589,-0.0041289427,-0.008257885,0.035830826,0.003542843,-0.0006495212,0.012218871,-0.021624463,-0.031743873,-0.0012596775,0.009524561,0.010280368,-0.014318335,-0.001433758,0.007166166,0.036250718,-0.03902201,-0.025277529,-0.0058889925,-0.04098151,-0.023919877,-0.024563711,-0.0018720208,0.013863452,0.01965097,-0.0124988,0.027251026,-0.010595287,0.012204875,0.0017871675,0.0048567564,0.0062319045,-0.024045844,0.019832922,-0.0043563847,-0.006480341,-0.019930897,0.011323101,0.021358531,0.026509214,0.024031848,0.0012929189,-0.0069912104,-0.02425579,0.010280368,-0.0017740459,0.0022674194,-0.015606006,-0.016501775,-0.0045978227,-0.0039854795,0.007712026,-0.023024105,-0.014276346,-0.00093950954,-0.009447581,-0.025963353,-0.017131614,-0.008040941,0.0075370707,-0.017677475,-0.0038525139,-0.00347636,0.010686264,0.047055952,0.027376993,-0.0056160623,-0.017509516,-0.005308141,-0.011400081,-0.027139053,-0.008614794,-0.011652017,0.021036614,-0.020098854,0.022842152,-0.01664174,0.016151864,-0.009111667,-0.02436776,-0.031184018,0.03062416,-0.012729741,-0.008082931,-0.013352582,0.013240611,-0.012134893,-0.01515812,0.009433584,0.02874864,-0.027321007,0.017649481,-0.020574732,0.0039819805,0.0074950815,0.009825485,-0.02613131,-0.011001184,0.047363874,0.19393435,0.0052976436,0.0025420992,0.022478245,0.008166909,0.019105108,-0.007747017,0.0055600763,0.005353629,0.0041779303,-0.012974679,0.031491935,-0.0031509432,0.0013287847,0.013569526,0.010259373,-0.049939215,-0.031575914,-0.013030664,-0.029336492,0.027167046,0.019664966,-0.013877448,-0.027055075,0.01664174,0.0023531476,-0.027978837,-0.00048068946,0.026887119,0.013380575,0.005203168,-0.02429778,0.006935225,0.023430001,-0.012239866,0.0024808648,-0.00913966,0.009965449,0.036222726,-0.01261777,0.005577572,-0.0026540705,0.017313568,-0.0072011566,-0.0033766357,0.002339151,-0.0085938,-0.013051658,0.006329879,-0.00089139683,-0.030932082,-0.016991649,0.012204875,0.006448849,-0.004779776,0.00156235,0.027558945,-0.00023181566,-0.0005401742,-0.0019664965,-0.0046573076,0.027586939,-0.012568782,-0.0006355248,-0.015787957,0.014990163,-0.018055378,0.0040519624,0.020364786,-0.00015122691,0.00765604,-0.017173603,-0.014017412,-0.004058961,-0.011763988,-0.016501775,0.002601584,0.012281856,0.021750432,0.028146796,-0.003964485,0.0047517833,-0.010252375,0.002116958,-0.007593056,-0.030148283,0.012862707,-0.008411846,-0.028258767,-0.008572805,4.4531567e-05,-0.015913926,-0.022506237,0.021274554,-0.008859731,-0.008215897,0.0109032085,0.008754758,-0.009874471,-0.0008603423,-0.01675371,0.048091687,-0.007921971,0.0043213936,-0.0035970793,-0.02355597,-0.037930287,0.014892188,0.019720951,-0.017131614,0.0021117094,-0.027768891,0.0033154015,-0.004706295,-0.022016363,0.008236891,0.020126848,-0.02804882,-0.0040204707,0.013149634,-0.007886981,-0.024591703,0.0106722675,0.012596775,-0.027362997,-0.016585754,-0.02554346,-0.01019639,-0.011176138,-0.030456204,0.010931201,-0.01937104,0.010581291,-0.003908499,0.020574732,0.022198316,-0.0013147884,-0.01734156,-0.0034606142,0.0061094356,-0.016991649,-0.004975726,0.007879983,-0.007823997,0.007816998,0.0021904393,-0.01902113,0.024815647,-0.01644579,-0.016907671,-0.008264884,-0.0074600903,-0.0074670888,-0.020168835,0.014206364,-0.020784678,-0.010511309,-0.021666452,0.04397674,-0.02124656,-0.017509516,0.03160391,0.016963657,0.006074445,-0.010644275,-0.0026068327,-0.18060976,0.0070716897,0.021414516,-0.017957402,0.016109874,0.0029794872,0.029588426,0.015997903,-0.00691423,-0.002183441,-0.019497009,-0.0045803273,-0.0554818,0.0011424575,0.023220055,-0.0031107035,0.010399338,0.02229629,0.015578013,0.025809392,0.049379356,-0.0018037882,0.026019339,0.0023828899,0.010511309,0.0067602694,-0.016949661,0.043248925,-0.007684033,-0.0024896127,-0.006564319,-0.013863452,0.01823733,-0.0033993798,-0.021512492,-0.020224823,-0.011400081,-0.015102134,-0.01387045,0.018363299,0.014626256,0.006175919,-0.0030477196,-0.0022254302,-0.0014704985,0.014430306,0.007977958,-0.031967815,0.02613131,-0.009629535,0.025081579,-0.018811183,0.02809081,0.0079009775,0.013863452,0.017229589,0.003999476,0.0076420438,0.005014216,-0.0014573769,-0.01902113,-0.026929107,0.013184626,-0.0079009775,-0.037090503,-0.037314445,-0.039637852,0.007956963,-0.004863755,-0.0042199194,-0.011260117,-0.009909463,0.00054192374,-0.01441631,0.014402313,0.011966936,-0.018881166,0.0002705245,0.017635485,0.0020137343,-0.012400825,0.03171588,-0.0129816765,-0.0016734466,0.004065959,-0.022072349,0.014948173,0.01035035,-0.0060044625,-0.0047237906,0.0063648704,0.0058050137,0.0077960044,-0.027880864,0.0022586717,0.021918388,-0.00012192192,-0.00044044977,0.027432978,0.0050632036,-0.0060044625,0.0079009775,-0.037398424,0.016291829,0.017229589,0.022254303,-0.017873423,0.027614933,0.039861795,0.0014792463,-0.032107778,0.006672792,0.012743738,0.008180905,0.00289026,0.020532742,0.011337098,0.010189391,0.0056580515,0.006154924,0.007173164,-0.018797187,0.004436864,0.011477062,-0.026439233,-0.018993137,-0.09741506,-0.015731972,0.008614794,0.00527315,-0.0071171783,0.017313568,-0.0044508604,-0.0068792393,-0.0037370434,0.031072047,-0.014570271,-0.017523514,-0.00933561,-0.004741286,0.029224519,0.02510957,-0.012253863,-0.0068792393,0.019636972,0.035298962,-0.012323844,-0.041765306,0.0038490149,-0.017047634,0.003121201,0.026355254,-0.01745353,0.012827716,0.0042129215,0.027754895,0.024003854,-0.015480038,0.024437742,-0.020406775,-0.011421076,-0.020014875,-0.0039434903,-0.0075580655,-0.0033923816,-0.051926706,0.0152840875,0.028398732,0.023975862,0.0002919565,-0.004436864,-0.019357044,-0.014864195,0.032275736,0.0080199465,0.003754539,-0.0062284055,-0.005878495,0.018937152,-0.015452045,0.018587241,-0.015647994,-0.017803442,-0.0026610687,-0.022744177,0.004667805,0.0041849287,-0.0016874431,-0.05167477,0.023304034,-0.0016463286,0.011708003,-0.049463335,-0.008740762,0.021232564,-0.0005987842,-0.041737314,0.040169716,-0.02159647,0.0065048346,-0.0105602965,-0.004198925,-0.019427026,0.021134589,0.030764125,-0.012722743,-0.012596775,-0.033759356,0.007250144,-0.0055110888,0.002741548,0.006182917,-0.0013882696,0.016627742,-0.008229893,-0.03429122,0.033619393,0.0269571,0.02429778,0.0013331587,-0.008138916,0.03308753,0.002199187,0.007404105,-0.0018020388,0.0014363823,-0.037594374,0.009622537,-0.06466345,0.021904392,0.028174788,0.0134365605,-0.0017390549,0.0064243553,0.009321613,-0.0008966455,-0.0074950815,0.0041919267,-0.007956963,0.018657222,-0.023653943,-0.0030617162,-0.0064628455,-0.03891004,0.022814158,-0.0057980157,0.038686097,0.01855925,0.012085905,-9.802959e-05,0.02316407,0.015326077,-0.011274113,0.005315139,0.002234178,0.01937104,0.004331891,-0.017873423,0.035326954,-0.010875216,-0.016263835,0.019972887,0.0016970657,-0.029504448,-0.024381757,-0.01651577,0.046692044,0.008082931,-0.017327564,-0.006844248,-0.001359402,-0.02257622,0.00024493728,-0.01175699,-0.01277173,-0.016809696,0.021750432,-0.00035909557,0.025529463,0.0074950815,-0.0043143956,-0.017509516,-0.0058260085,-0.034207243,0.0171876,0.012911694,0.024857637,-0.027362997,0.0036460666,0.0012281856,0.02214233,-0.00138652,-0.006907232,-0.010105412,-0.005185672,-0.0026698164,0.011323101,-0.028860612,-0.027712906,-0.0007400605,-0.00531164,0.0066832895,0.014136381,-0.018601237,-0.008642787,-0.0056545525,0.0092936205,0.009097671,0.013660504,0.004163934,-0.029700398,0.04030968,0.009251631,0.011708003,-0.025767403,0.0040799556,-0.0007356866,0.00628789,-0.039637852,0.014864195,-0.0037475408,0.011652017,-0.004776277,0.0107912375,-0.005693042,-0.03252767,0.022198316,0.018741202,0.013387573,0.0023181564,-0.01636181,-0.035830826,-0.014920181,0.0021606968,0.0055530784,-0.024129823,0.007649042,0.0065048346,0.0026908112,-0.010490314,-0.015494034,0.006518831,-0.015060145,0.013191624,-0.0010803484,0.004863755,-0.017775448,0.026523212,0.023975862,0.011645018,-0.01202992,-0.010693262,0.01855925,-0.0009692519,0.008285878,-0.006291389,0.007893979,-0.02144251,-0.0055950675,0.005847003,-0.001859774,-0.022282295,-0.01347855,-0.01429734,-0.00691423,0.004230417,0.0017040638,0.09265628,-0.002440625,0.005304642,-0.011190135,-0.015550019,0.01945502,0.008964704,0.01515812,-0.009083674,-0.027978837,0.038686097,-0.01441631,-0.0114840595,-0.03160391,-0.016221847,0.01277173,-0.013408568,0.0019122605,-0.015745968,0.0023024105,0.0011424575,-0.0017915415,0.017999392,0.01257578,-0.011260117,0.00095525547,0.010896211,0.0035253477,-0.004835762,-0.022884142,-0.013030664,-0.0056230603,-0.00035165995,-0.011085162,0.012876703,0.002750296,-0.024563711,0.019622976,0.005644055,0.013646507,-0.015843943,0.015969912,-0.007684033,0.0015168616,-0.026481222,0.013730486,-0.002550847,-0.025949357,-0.014444303]','plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image','{"mem_type": "recipe", "custom_id": "577cf9fd-c7c0-4ce3-8554-a1b8d94ae79c"}','577cf9fd-c7c0-4ce3-8554-a1b8d94ae79c','72ec8079-5d05-4962-9f02-ff02e5699673'), + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.013806936,-0.010206665,0.00086647016,0.0075966446,-0.0012307414,0.00743396,-0.016876718,0.0062951706,-0.0041838135,-0.02607191,0.00030879054,0.036016867,0.014514259,-0.00059282477,-0.0038796642,0.011324234,0.019069418,-0.010178372,0.017202087,-0.01243473,-0.026496302,0.018729903,0.040487148,-0.012625707,-0.0029000225,0.005237724,0.015207435,-0.030584628,0.01160009,0.013835229,0.00903251,-0.011246429,-0.021714803,-0.027345091,-0.008049332,0.0010079347,-0.004006983,0.012349851,0.02706216,0.007405667,-0.0012059851,-0.012901563,0.005718703,-0.00019407163,0.004505645,0.009159828,0.03222562,0.002001723,-0.00901129,0.01333303,0.013290591,0.020031376,-0.008671775,-0.015745,0.03516808,0.030754386,0.017117208,-0.009082022,0.0069494443,-0.036073454,0.00507504,-0.017683065,-0.036356382,-0.006365903,-0.02379433,-0.0338949,-0.003006121,0.010970573,0.004194423,0.02129041,0.02718948,0.040487148,0.012484243,0.005174065,0.009301293,0.012293266,-0.02703387,-0.0077522555,0.025760688,0.0034570391,0.03089585,-0.01734355,0.004551621,0.014853774,0.026694354,-0.0149386525,-0.017046476,0.06377221,-0.010454228,-0.005534799,0.036214918,0.0067761503,0.008615189,0.0021697122,-0.0048769894,-0.0006785876,-0.016494764,0.038591523,0.0019380639,-0.025308002,0.0034641123,-0.013000589,-0.017683065,-0.011783994,-0.025251415,-0.00504321,0.009329585,-0.006044071,0.0026170937,-0.025732394,-0.023836771,0.028604124,-0.005736386,-0.03839347,0.0001690943,-0.021276264,0.019946497,-0.0039256406,-0.023087008,-0.029085103,0.015674269,0.010383496,0.011522285,-0.01423133,0.0035330763,0.01247717,-0.00012853378,-0.008127137,0.014195964,-0.015745,-0.0042934483,0.011791067,0.018149897,0.008289821,-0.022973837,0.044023756,-0.031886104,0.021417728,-0.010362276,-0.028490953,0.013580593,0.01850356,0.017654773,-0.0017046473,-0.0069742007,0.028589979,0.010305691,0.027175333,9.6538475e-05,-0.024558239,0.0075471317,-0.02423287,0.010510814,-0.0048380867,-0.009414464,-0.0017665381,-0.013552301,0.012710586,-0.01738599,0.006836273,-0.020342598,-0.015023531,0.008410065,0.012363998,0.019875765,0.03692224,-0.0065781,-0.021615777,-0.00016191056,-0.00016599978,0.0018761731,0.032112446,-0.012929857,-0.0015976648,0.013170346,0.016325006,-0.016424032,0.017088914,-0.022266515,-0.010093493,-0.020314306,0.031037314,0.040402267,0.024685558,0.004951258,-0.005863704,0.019324053,-0.011034232,-0.011974971,-0.03341392,0.024176285,0.003900884,0.0034234412,0.010114714,-0.63466644,-0.023242619,0.005124552,-0.017697211,0.017004035,0.02786851,0.018545998,0.0028416684,-0.02885876,0.014316209,0.010807889,0.036101747,-0.016650375,-0.04532523,0.00034879844,-0.025336294,-0.025987031,-0.00039919518,-0.024445068,0.04328814,-0.0053332127,0.025293855,0.0004907051,0.009527636,0.014280843,0.022535296,0.023355791,0.008445432,0.024685558,0.017555747,-0.0043075946,0.0025003855,0.0038973473,-0.004555158,0.038308594,-0.02320018,-0.014351575,0.014896213,0.04113788,0.05412432,-0.02499678,0.007112128,0.03893104,0.022903105,-0.018390387,0.020710407,-0.010093493,0.013637179,0.008070551,-0.036554433,0.006903468,0.012576195,-0.030443164,0.007624937,0.015773294,-0.01631086,0.016353298,-0.015504511,0.009336659,0.0052872365,0.0008372931,-0.02056894,-0.02973584,-0.0068610287,-0.0043924735,0.019960644,-0.012859124,0.02267676,0.008013966,-0.023058716,0.011020086,0.020257719,-0.01133838,0.0056019947,0.02137529,0.012484243,0.019776741,-0.015787441,0.004707232,0.021573339,-0.0038867376,-0.014641577,-0.021771388,0.014167671,-0.0006785876,0.0019522103,-0.024940193,0.0015799818,0.0041519837,0.0032360007,0.003531308,0.0133754695,-0.0035525276,-0.03935543,-0.017810384,0.036384676,-0.023865063,0.008990071,0.014061573,-0.028759735,-0.017852822,0.009407391,0.006924688,0.0090537295,0.031631466,0.033357333,-0.007681523,0.010503741,0.02328506,-0.023186034,-0.018121606,-0.004296985,-0.031207072,-0.018347949,0.02344067,-0.03593199,0.021941146,0.014783042,-0.006921151,0.009739832,0.034319293,0.001806325,0.029707547,-0.011147403,0.017258672,0.012321559,0.018206485,0.00099202,0.0013545227,-0.017739652,0.010114714,0.0092800725,0.015688416,-0.033611972,0.0065993196,-0.007624937,0.0050290637,-0.014754749,-0.018234776,-0.024091406,-0.016749399,0.0045657675,0.007250056,-0.005513579,-0.010553254,-0.020158695,0.0009875993,0.008926411,0.017272819,-0.0035755155,-0.020526502,-0.008141283,-0.023101155,-0.004371254,0.010892767,0.0018602584,0.019776741,-0.01491036,0.011883019,-0.008629336,-0.005266017,0.011260575,-0.0010901609,0.0054569934,0.009478123,-0.0065002944,-0.009506416,0.033017818,-0.00069140777,-0.0076037175,-0.00031475857,-0.032480255,-0.008947631,0.040175926,-0.0011140332,0.03321587,-0.024968486,-0.00016522614,0.008176649,-0.03680907,0.029169982,0.0022987984,-0.014584991,-0.010822035,0.0077876216,0.0062138285,-0.02021528,0.008997143,0.010574473,0.023822624,-0.023850916,0.016155249,-0.02133285,0.02247871,0.005156382,0.014478893,-0.024798729,0.007646157,-0.009853004,-0.00042549873,0.029594377,0.010843255,-0.0131844925,0.013637179,0.03723346,-0.028321195,-0.0025463614,-0.028689003,-0.011168623,0.027755337,0.021927,-0.036780775,-0.0065710265,-0.0046930853,0.008388846,0.00769567,-0.0027019721,-0.013927181,-0.021870414,-0.021615777,-0.0028239852,-0.01425255,0.029594377,-0.0063517564,-0.0042757653,-0.012413511,-0.0044914987,0.0033544772,-0.0077027427,-0.022535296,-0.0039150305,0.016367445,-0.004265155,0.005357968,0.033753436,-0.007575425,0.00092128763,0.004816867,0.023709452,0.013255225,-0.009301293,0.0059308996,0.009414464,-0.010489594,-0.031009022,-0.0038584445,0.023822624,0.011861799,-0.028420221,0.022422126,0.015787441,0.016339153,-0.009520562,-0.0030786213,0.011868873,-0.01074423,0.008919338,0.0055560186,0.038648106,0.02117724,0.035903696,-0.013524007,0.012887417,0.0049300385,-0.019210882,-0.012859124,-0.0338949,0.0036055767,-0.016240127,0.011493991,-0.006235048,-0.0060582175,0.0055878484,-0.017654773,0.00121129,-0.012420584,0.038648106,-0.0036197233,0.0039114943,0.0030255723,-0.029396325,-0.022308953,0.030245112,0.013651325,-0.0051988214,-0.04651353,-0.01694745,-0.008954705,-0.0048946724,0.006648832,0.023497256,0.005853094,0.023836771,-0.0111191105,-0.006217365,0.007822989,0.030103648,-0.0038938108,0.00069184985,0.015844027,0.0006250964,0.003975153,0.0006242122,-0.025661662,0.028391927,-0.0004531285,-0.0037700294,-0.012448877,-0.00033907275,0.004937112,0.009853004,-0.002348311,-0.03304611,0.0036497845,-0.021276264,0.0070095668,-0.0113596,0.009520562,0.008990071,0.01353108,0.0061749257,-0.038846157,-0.02798168,0.019012831,0.042156428,0.04119447,0.022337247,-0.022252368,0.0049618683,0.0021325776,-0.018277217,-0.013382543,0.009350805,0.017725505,0.012066923,0.014995239,0.016098663,-0.006192609,0.013842302,-0.015193289,-0.024558239,-0.021545045,0.00507504,0.00417674,-0.01841868,0.0010892769,0.012795465,0.0032589887,0.02499678,-0.0024155066,0.03225391,0.042439356,0.006411879,-0.008077624,-0.018843075,0.018800635,-0.0114656985,0.023228472,-0.018843075,0.008296894,0.015858173,-0.010977646,0.024105553,0.011812286,0.015617683,0.003006121,-0.00057867833,0.0014075718,0.0140545,0.010355203,-0.01870161,0.021997731,-0.01510841,-0.010715936,0.009591294,-0.008141283,-0.013446202,-0.00021076002,-0.010730083,-0.013870596,-0.008120064,-0.019295761,-0.017371843,-0.0007798231,-0.031886104,-0.017895263,0.038025662,-0.020399185,-0.018956246,0.014068645,-0.022040172,-0.012873271,-0.021530898,0.0027956923,-0.008975924,-0.028151438,-0.010666425,0.006528587,-0.0060546813,0.019861618,0.0073773745,-0.0060405345,0.0063446835,-0.0037205168,-0.022577737,-0.0025799593,-0.0001968346,-0.013524007,-0.011366674,-0.007766402,-0.004710769,-0.022945544,0.002266969,0.022252368,-0.0049583316,-0.025407026,0.008197869,-0.02140358,-0.030188527,-0.015801588,-0.005527726,0.021191385,-0.0013359556,-0.008049332,-0.004714305,-0.018758196,-0.026680207,-0.02475629,0.023256766,-0.0155469505,-0.013170346,0.0031935615,0.006411879,0.0035684423,0.026326546,-0.008105917,-0.017598186,-0.0062774876,0.022450417,0.010602766,0.029311446,0.012689367,-0.026411425,0.00505382,-0.010574473,0.03412124,-0.006185536,-0.010843255,-0.01718794,0.0061572427,-6.691935e-05,-0.014457673,-0.02786851,-0.016183542,-0.010022761,0.013538154,0.0009557696,-0.025506051,-0.014443527,0.014273769,-0.024077259,0.004296985,-0.007589571,-0.03437588,-0.031574883,0.0047885743,-0.0014491271,-0.016678667,0.010433009,-0.024841169,-0.012356925,-0.008296894,0.012363998,0.02607191,0.011479845,-0.015603536,-0.013234005,-0.00879202,-0.016650375,-0.033017818,-0.011253502,0.028971933,0.020795286,0.023766037,0.036186624,0.025675809,0.028448513,-0.0039468603,0.0113100875,0.0029689865,-0.003485332,0.0057965084,-0.016141102,0.016834278,0.0054357736,0.0006936182,-0.0044278395,-0.0039291773,-0.010249104,0.016296713,-0.005754069,-0.021304557,0.016296713,-0.027882656,-0.0003722285,0.016155249,-0.016169395,0.00767445,-0.043655947,-0.01177692,0.03233879,-0.0009911358,0.021262119,0.028731443,0.015844027,0.013071321,0.01447182,0.007076762,-0.008990071,0.0126469275,-0.014811334,-0.012102289,-0.005280163,0.033357333,-0.004572841,0.01622598,-0.00091333024,0.0021661755,0.006100657,0.0023465427,-0.012088142,0.023949942,0.0096266605,-0.0053862613,-0.021743095,-0.03417783,-0.024614826,-0.0077239624,0.025293855,0.010404715,-0.023822624,0.010574473,-0.017994286,-0.025506051,0.0023730674,0.0026807524,0.036101747,-0.0040635685,0.035875402,0.015363046,0.00051767175,-0.020993335,0.006613466,-0.014167671,0.00014444854,0.012965223,0.049173065,-0.024600679,-0.040770076,-0.01758404,0.009980322,0.0065887095,-0.034998324,-0.0016816594,0.004915892,0.0032342323,-0.024558239,-0.0073207887,-0.039892994,0.012448877,-0.005754069,-0.00881324,0.020158695,-0.01184058,0.0015048287,0.019833326,-0.045947675,0.036695898,-0.0094710495,-0.011529358,-0.00081828376,-0.009202267,-0.029000225,0.01885722,0.019776741,0.0075966446,0.0068787117,0.041533984,0.026496302,-0.008176649,0.019479664,-0.008466652,0.0058990703,0.033130992,-0.020724552,0.0034287462,0.017881116,-0.01802258,0.0019115392,-0.0031723417,-0.013920108,-0.01335425,-0.016056223,-0.034913443,0.011932531,-0.012795465,0.0025392883,0.003513625,-0.0048486963,-0.010270325,-0.018942099,-0.007044933,0.012710586,-0.024445068,-0.012031557,0.011706188,-0.0014986397,0.013212785,0.01841868,-0.009393244,-0.00085718656,0.027274357,-0.03358368,0.020512355,0.013714985,0.003865518,-0.019026978,0.0036603943,-0.027104601,0.0018903195,0.0010052823,-0.024926048,-0.03143342,-0.03878957,-0.005683337,0.018913807,0.0306978,0.009527636,0.008912265,0.018248923,-0.0043606437,-0.012979369,-0.004420766,0.012965223,-0.03197098,-0.0060971202,-0.0055772383,-0.018079165,0.026878258,-0.023850916,-0.00091156195,-0.0039999094,-0.0022475177,-0.013898889,-0.011041305,0.030245112,-0.009775198,0.017159646,-0.0153206065,-0.020484064,-0.010822035,0.023186034,-0.004770891,-0.012250827,0.028420221,0.0012210157,-0.022973837,0.004056495,-0.020399185,-0.035479303,-0.0068185893,0.019451372,0.010998866,-0.010666425,-0.0031228291,0.0048204036,0.03935543,-0.04631548,-0.01874405,-0.009506416,-0.04727744,-0.019691862,-0.024190431,-0.0017665381,0.017810384,0.013509861,-0.019309908,0.029085103,-0.011925458,0.019691862,0.0022828837,0.006525051,0.0012890955,-0.019649422,0.029594377,-0.0050644297,-0.006457855,-0.017810384,0.0070095668,0.020399185,0.024671411,0.023115302,-0.0075471317,0.0069742007,-0.030754386,0.0054534567,-0.013580593,0.008586897,-0.019408932,-0.015264021,-0.006988347,0.001506597,0.0012130582,-0.015334753,-0.014408161,-0.0060688276,-0.011027158,-0.023299204,-0.024614826,-0.00879202,0.008183722,-0.01571671,-0.005375651,0.0055949213,0.006231512,0.0394686,0.025873858,-0.006231512,-0.022351393,-0.005545409,-0.02866071,-0.01922503,-0.013226932,-0.015730854,0.020866018,-0.01679184,0.029452913,-0.015603536,0.014266696,-0.017272819,-0.02822217,-0.039581772,0.021941146,-0.0062138285,-0.015363046,-0.020186987,0.005361505,-0.015928905,-0.019833326,0.015278167,0.026170935,-0.032904647,0.0038407615,-0.0149386525,-0.0010928134,0.011960824,0.008176649,-0.026298253,-0.011112037,0.046258897,0.18548827,0.0129935155,-0.0051882113,0.031348538,0.0055595553,0.013142053,-0.01034813,0.00588846,-0.0046754023,0.018630877,-0.0054499204,0.02256359,-0.00023827929,0.0010503741,0.005142235,0.018050874,-0.042411063,-0.036780775,-0.012583269,-0.036214918,0.02320018,0.012802538,-0.013474495,-0.02618508,0.02093675,-0.002560508,-0.028872907,-0.002590569,0.030867556,-0.0010008615,-0.009082022,-0.024445068,0.010843255,0.02914169,-0.007964453,-0.0020777602,-0.012816685,0.008013966,0.027585581,-0.014981092,-0.0047744275,-0.011875946,0.00791494,-0.004541011,-0.004403083,0.015334753,-0.003340331,-0.020370891,0.0066382224,-0.004915892,-0.028788028,-0.011366674,0.009237633,0.0049583316,-0.014485966,0.0014066878,0.028887054,0.0040812516,0.007830061,0.0068009063,-0.011232282,0.025689956,-0.018772341,0.006528587,-0.0066240756,0.005715166,-0.02133285,0.014684017,0.009718613,-0.0043252776,0.014104012,-0.024247017,-0.012151802,0.0015693719,-0.0116566755,-0.0137574235,0.006907005,0.0055489456,0.022747494,0.034998324,-0.0033633187,-0.0019380639,-0.006549807,-0.0014968714,-0.009237633,-0.024671411,0.021262119,-0.0029707546,-0.018446974,0.0025817275,-0.0018425753,-0.014464746,-0.033923194,0.022846518,-0.004795647,-0.0016312627,0.01201741,0.004926502,-0.0026082522,0.0038407615,-0.011762775,0.055991653,-0.000906257,0.0023748358,-0.005821265,-0.01670696,-0.031235365,0.013785717,0.026977282,-0.027656313,0.0029477668,-0.030924143,0.008275675,-0.0005972455,-0.014514259,0.01598549,0.010631059,-0.021827973,-0.0042085694,0.018560145,-0.006730174,-0.021516751,-0.003556064,0.015292314,-0.022577737,-0.01622598,-0.021021629,-0.013340103,-0.013686691,-0.036384676,0.010468375,-0.022507004,0.0034570391,-0.003566674,0.020837724,0.02276164,0.0018160507,-0.015490364,-0.015051824,0.0026559965,-0.0140545,-0.008190796,-0.0018284288,-0.016636228,0.010206665,-0.0051316256,-0.013403762,0.017371843,-0.021064067,-0.029056812,-0.0011432102,-0.007582498,0.00033973585,-0.01738599,0.021021629,-0.02762802,-0.007837134,-0.027005576,0.027246065,-0.018814782,-0.013057174,0.03225391,0.017074768,-0.0005503854,-0.012972296,0.0013129676,-0.18311167,0.012908637,0.019126004,-0.015603536,0.023978235,0.00069406023,0.03924226,0.010609839,-0.010779596,-0.004441986,-0.022874812,-0.0056090676,-0.04891843,0.011444479,0.021460166,0.0009663795,0.010065201,0.017640626,0.021615777,0.019649422,0.03983641,0.0019663568,0.023384083,-0.0026011788,0.0027974606,0.008091771,-0.027684605,0.04258082,0.009039583,-0.0041555203,-0.013142053,-0.010496668,0.021658216,-0.005375651,-0.018135753,-0.020314306,-0.009272999,-0.022139195,-0.011345454,0.02462897,0.013587667,0.0064366353,0.0077239624,-0.002134346,-0.008466652,0.020356745,0.012668147,-0.02368116,0.02168651,-0.009152754,0.025803126,-0.023709452,0.034149535,0.0088627525,0.014485966,0.014684017,-0.0037063702,-0.00023827929,0.010171299,0.0051493086,-0.0073773745,-0.030556334,0.008367627,-0.008968851,-0.027048014,-0.044108633,-0.041335933,0.004731988,-0.008820313,0.0057788254,-0.008212016,-0.010652279,-0.0011096123,-0.013311811,0.009485196,0.021743095,-0.02539288,-0.002371299,0.018192338,0.00039742686,-0.005209431,0.033753436,-0.016211834,-0.0037523462,0.007851281,-0.029566083,0.009393244,0.0036321015,0.007161641,-0.0049866242,-0.0034092946,0.008311041,0.0065993196,-0.037544683,-0.0001041643,0.024982633,0.00054331217,-0.011585943,0.030443164,-4.2273576e-05,-0.00903251,-0.004862843,-0.029481204,0.027175333,0.022874812,0.026920697,-0.031631466,0.028391927,0.040091045,0.0017453184,-0.027090454,0.00395747,0.011875946,0.0052412604,0.0008479029,0.030443164,0.013934255,0.002908864,0.0011874179,0.0077876216,0.011232282,-0.014924507,-0.002549898,0.011854726,-0.03165976,-0.01806502,-0.097044654,-0.0155469505,0.009407391,0.013870596,-0.008735434,0.015773294,-0.0076603033,-0.010532034,-0.006394196,0.027500702,-0.009138608,-0.019988937,-0.0055843117,-0.006988347,0.027896803,0.037290048,-0.0024738607,-0.0082544545,0.011303014,0.037629563,-0.006111267,-0.03245196,0.0071298117,-0.017838676,-0.003191793,0.018885514,-0.030329991,0.021460166,0.0029795964,0.038223714,0.019988937,-0.012661074,0.03381002,-0.020370891,-0.0036055767,-0.02276164,-0.0011962594,-0.006532124,-0.007540059,-0.05321895,0.013863523,0.02738753,0.030047063,0.0025233733,-0.008763727,-0.026086057,-0.018828928,0.025689956,0.010461302,-0.005266017,-0.0034959419,-0.008685921,0.015419632,-0.017456722,0.017725505,-0.009393244,-0.0055418722,0.006026388,-0.020781139,0.006889322,0.0031758782,-9.622074e-06,-0.04846574,0.019550396,0.00054242805,0.008629336,-0.040939834,-0.009994469,0.014966945,-0.012279119,-0.03652614,0.03584711,-0.02523727,0.00021363352,-0.018588439,0.005025527,-0.014294989,0.014224256,0.026581181,-0.008784947,-0.020045523,-0.036186624,-0.0016798911,-0.00529431,0.0106169125,0.011295941,-0.006641759,0.01914015,-0.0011158014,-0.03545101,0.030188527,0.0303017,0.01052496,-0.0006144865,-0.00990959,0.030386578,0.008905192,0.009046656,-0.0019044661,-0.00053579686,-0.032876354,0.009959103,-0.071750805,0.020116255,0.03078268,0.0130288815,-0.00395747,0.0035825889,0.011472772,0.0016356835,-0.010242032,0.00853031,-0.0063093174,0.018362096,-0.022110904,0.0010379959,-0.010114714,-0.03536613,0.02005967,-0.0023836773,0.044617906,0.017711358,0.0015021763,0.00020799704,0.019762594,0.022153342,-0.0068256627,0.006111267,0.016339153,0.024402628,-0.00028911812,-0.008657629,0.039440308,0.0018010201,-0.010906913,0.020484064,-0.0060582175,-0.028533392,-0.013700838,-0.0057116295,0.043118384,0.0053084563,-0.014768895,-0.010899841,-0.009336659,-0.020597234,-0.004091861,-0.016042076,-0.0150942635,-0.01181936,0.02690655,0.005838948,0.018517707,0.005082113,0.002618862,-0.006723101,-0.0069742007,-0.021785535,0.020639675,0.00656749,0.026439717,-0.026722647,0.0069140783,0.0029919744,0.011593017,0.00115382,-0.0018072091,-0.022054316,-9.8527824e-05,0.0021927,0.017513309,-0.018998686,-0.025491904,-0.001506597,-0.00061050785,0.008091771,0.009485196,-0.009676173,0.0023677624,-0.011783994,0.010623986,0.005962729,0.0032253908,0.00372759,-0.03245196,0.03887445,0.022337247,0.010065201,-0.017202087,0.0059698024,0.0003202845,0.00835348,-0.035394423,0.016593788,0.0006109499,0.0058813873,-0.006868102,0.01177692,-0.0022652007,-0.031065607,0.010036908,0.02626996,0.007299569,0.0027090453,-0.021785535,-0.031716347,-0.017994286,0.0104259355,0.0027284967,-0.02894364,0.004551621,0.00027983452,0.002364226,-0.012491317,-0.015122556,0.003985763,-0.027910948,0.010270325,0.0019628203,0.00441723,-0.019168442,0.02870315,0.017739652,0.014146451,-0.011394966,-0.0069635906,0.023567988,0.011189843,0.01679184,-0.009739832,0.007879574,-0.011550577,-0.008282748,0.013347177,-0.004074178,-0.023115302,-0.0034871004,-0.008968851,-0.01539134,0.008487871,-0.00059282477,0.091103144,-0.006394196,-0.0014535479,-0.010383496,-0.021559192,0.01177692,0.008247382,0.016876718,-0.007964453,-0.028066559,0.026326546,-0.012569122,-0.010404715,-0.038506642,-0.014415234,0.012158874,-0.018531853,-0.0033739286,-0.0107371565,0.0061749257,-0.0072924956,0.0043535708,0.0102349585,0.009704466,-0.012052776,6.796928e-05,0.014111085,0.004505645,-0.013722057,-0.033838313,-0.023030423,-0.008537384,0.0040458855,-0.018998686,0.016211834,-0.001881478,-0.03293294,0.019437226,0.0126469275,0.007490546,-0.018828928,0.01758404,-0.010652279,0.0013200408,-0.027330944,0.0005128089,-0.0012077533,-0.027896803,-0.009746905]','plot a scatterplot of food price movements and number of fatalities in TCD from 2008-01-01 using HDXData data, including regression line as an image','{"mem_type": "memory", "custom_id": "1bf8f06b-37e7-4c5f-b6e9-5aca2f4374e5"}','1bf8f06b-37e7-4c5f-b6e9-5aca2f4374e5','3df7d6ba-55b8-4de0-9dcc-d3ca4edc933b'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.011923885,-0.0031242375,0.0042979843,-0.039244566,0.001865912,0.008837622,-0.024262033,-0.0005437209,-0.000712447,-0.008644299,-0.0038491986,0.019042313,0.0050263973,-0.0077398233,-0.009099989,0.022066437,0.010322066,-0.029909827,0.015327751,-0.017854758,-0.019456577,0.023585403,0.028446095,-0.028335625,-0.014064247,0.007691493,0.013325477,-0.03192591,0.0066316687,-0.0072081853,0.02203882,-0.025463399,0.0010494676,-0.03443911,-0.0076638754,-0.0014110851,0.0027755657,-0.024510592,0.024676297,0.002340589,0.005337095,-0.020409383,0.0021610747,-0.02056128,-0.0008047932,0.020588897,-0.0022508318,-0.0030016846,-0.010770852,0.02181788,-0.0038526508,0.030489795,-0.009486634,-0.012931926,0.018876608,0.0061552655,-0.015369177,-0.005761715,-0.0062968056,-0.010142552,0.010777756,-0.007304847,-0.021334572,-0.009507348,-0.036399957,-0.029329857,0.009721384,0.013511895,0.036841836,0.010294449,0.04805457,0.028915593,-0.006673095,-0.0040459735,0.015755823,0.0086512035,-0.00732556,-0.00046604648,0.014968722,-0.0047674826,0.01738526,-0.03540572,0.0009364082,0.0033883303,0.020630324,0.008540733,-0.014181621,0.044353813,0.028722271,-0.00257016,0.010045891,-0.0076500666,0.010722521,0.011274872,-0.01976037,0.0001148934,0.0056063663,0.010612051,-0.009976846,-0.02579481,-0.030848823,0.004719152,-0.011889363,-0.003329643,-0.02952318,0.0043428624,-0.026637144,0.0038457464,0.020616515,0.00096661487,-0.015949145,0.04054259,0.0026875346,-0.042531054,0.00366278,-0.02826658,0.0058514723,0.005333643,-0.0009545322,-0.007539596,0.018655667,0.028805124,0.02021606,-0.006887131,0.006914749,0.018324256,-0.015452029,-0.040321648,0.0015526252,-0.0044119065,0.003928599,0.001003726,-0.006535007,0.0043014362,-0.032864906,0.011419864,0.009203555,0.0028532401,-0.0249939,-0.014292092,0.01770286,0.026278116,0.015935337,-0.019553239,-0.0073393686,0.029937444,0.01837949,-0.0017588938,-0.009148319,-0.014637311,-0.00024445864,0.00925879,0.0077053015,2.5217214e-06,-0.012386479,0.024496783,0.0012488319,0.01193079,-0.011813415,0.010598242,-0.024372503,-0.007332464,0.0023578499,0.0058790897,-0.0005670232,0.039134093,-0.009431399,0.006707617,0.0042358446,0.018075699,0.0015388164,0.02100316,-0.023806345,-0.0049918755,0.018324256,0.0018106768,-0.004560351,0.016736247,-0.022439275,-0.016929569,-0.004667369,0.021886922,0.0022232141,0.0068940353,-0.007505074,0.004066687,0.024952473,-0.010294449,0.00038643018,-0.013152867,0.026278116,0.014043533,-0.0022594624,-0.008437167,-0.63719255,-0.032008763,-0.017523346,-0.022535935,0.012331245,0.008388836,0.00089929707,0.0036282581,-0.032726817,0.018559005,0.009914707,0.03927218,-0.0026996173,-0.029219387,-0.0054682787,-0.018655667,-0.034466725,-0.005630532,0.011771988,0.018669477,-0.009307121,0.0045361854,-0.0060655084,0.016681012,-0.003241612,0.015728205,0.013332381,0.002009178,0.017854758,0.023212567,-0.010183978,0.02021606,-0.02203882,0.0009389973,0.035930455,-0.0082162265,0.0010779483,0.029606033,0.016943378,0.033831522,-0.017247172,0.0038526508,0.01851758,0.008181704,-0.016446263,0.0009062015,-0.012641942,-0.010190883,0.012655751,-0.03656566,-0.0067386865,-0.0026737258,0.005123059,0.0011711575,0.010418728,0.0033779738,-0.017854758,-0.009024041,0.012724794,-0.011274872,-0.01670863,-0.0023354106,-0.011709849,0.014968722,-0.0147063555,0.013373807,-0.016114851,0.013401425,0.0043014362,-0.02963365,-0.017454304,0.012421002,-0.009058562,-0.011544144,0.02249451,0.014927296,0.009983751,-0.016294366,-0.011040123,0.012110304,0.019387532,0.009990655,-0.015548691,0.026858086,0.007836485,-0.005243886,-0.037836067,-0.0014188526,0.00856835,0.013007875,0.0055925576,0.0069320095,0.012158634,-0.03963121,-0.003327917,0.026112411,-0.0010744961,-0.006811183,0.028887976,-0.037311334,-0.024703914,0.011164402,-0.029854592,0.0029136534,0.041315883,0.022687832,-0.032229703,0.004066687,0.05031921,-0.029578416,-0.0015759275,-0.006075865,-0.028308008,-0.016805291,0.016791482,-0.03675898,0.02783851,-0.007394604,-0.001407633,-0.0014231678,0.028528947,0.007857198,0.044022404,-0.016404836,0.017771905,0.034383874,0.0029032968,0.011564856,-0.016874334,0.0053819735,-0.009597105,0.011592474,0.021472659,-0.01840711,0.03192591,0.0075326916,0.0031328679,-0.009673053,-0.013870924,-0.017067658,-0.021293145,-0.0035764752,-0.0018969817,-0.018324256,-0.003697302,-0.025352927,-0.022052629,-0.008423358,0.014064247,0.0006093126,-0.017109083,-0.006075865,-0.0010874418,-0.009389973,0.010349683,0.0003012041,0.008485498,-0.004508568,0.010950366,-0.012110304,0.005530418,0.023985859,-0.017882375,-0.0038284855,-0.0070908107,0.0062657357,-0.012103399,0.04587278,0.020202251,-0.009679957,0.01197912,-0.01334619,-0.015714396,0.0121379215,-0.0109296525,0.01784095,-0.010694903,-0.01101941,-0.00057176995,-0.021845497,0.02565672,0.01158557,-0.01647388,-0.03711801,0.017468112,0.003783607,-0.003718015,-0.0016829455,0.010998697,0.009755906,-0.015617735,0.036593277,-0.0015629817,0.008810004,0.006234666,-0.008665012,0.010177074,0.02167979,0.021873115,0.015452029,0.028114684,0.0057893326,0.023764918,0.012427906,0.030904058,-0.030351708,-0.0034401133,-0.01963609,-0.018821374,0.019898457,0.017481921,-0.037311334,-0.0028049094,-0.018752329,-0.0018365683,0.0068560615,-0.0024924856,-0.004846883,-0.022853538,-0.0025373641,-0.0056236275,-0.014402562,0.016957186,0.007940051,-0.009465922,-0.024317268,-0.0022266665,0.010667286,0.009079276,-0.030821206,-0.010432537,0.01974656,-0.017481921,0.020298913,0.031152617,0.018186169,-0.0016337518,-0.0055614877,0.0216936,0.004121922,-0.0070493845,0.0011487182,0.011185115,-0.02328161,-0.0020885787,0.007007958,0.025131987,0.008319792,-0.032202084,0.016819099,0.001409359,0.02068556,0.00034457233,0.019677518,0.011661518,0.003769798,0.010757043,0.01317358,0.029606033,0.021472659,0.025463399,0.00869263,-0.002078222,0.009120702,-0.012365766,-0.00925879,-0.021942157,-0.013325477,-0.010694903,-0.0016855347,-0.023309227,-0.025753383,-0.0015845579,-0.029219387,-0.005796237,-0.028667036,0.0028256224,0.004080496,0.0028480617,0.01828283,-0.02021606,-0.032782055,0.019774178,0.008050521,-0.003010315,-0.043166257,-0.026747614,-0.0020437,-0.02533912,0.004691534,0.016777672,0.002447607,0.011544144,-0.003610997,-0.014499224,-0.008430263,0.011841033,1.8761202e-06,-0.0071598548,0.021431234,-0.012358862,-0.008354315,0.00026107233,-0.027990406,0.021306954,-0.01385021,-0.014637311,-0.010584433,-0.014112578,0.006231214,-0.0016993436,-0.017620008,-0.018600432,0.032284938,-0.009728288,-0.010246118,-0.032395408,0.0070528365,0.026305733,0.0027565786,-0.012469332,-0.039216947,-0.03747704,0.008464784,0.055621784,0.01817236,0.014374944,-0.013760453,-0.014733973,-0.001091757,-0.009686862,-0.019263254,0.022674024,0.01565916,0.0029516276,0.011530335,0.015507265,-0.012372671,0.014374944,0.012745508,-0.001565571,-0.008954996,-0.032561112,0.009990655,-0.016874334,-0.0027099738,0.004843431,0.01873852,0.022825921,-0.0029188318,0.04393955,0.021141248,0.00038146766,-0.0051644854,-0.023433506,0.010964175,-0.0062968056,0.024344886,-0.004719152,0.016653394,0.019539429,-0.006058604,0.026153836,-0.008575255,0.013021683,-0.001162527,0.008223131,-0.01670863,0.021873115,0.015507265,-0.010701808,0.004263462,-0.021541703,0.00025136303,0.03178782,-0.0056546973,-0.008996423,-0.00661786,-0.01221387,0.004418811,-0.013746644,-0.023820153,0.019815605,-0.0076017356,-0.023585403,-0.0021075658,0.03394199,-0.028211346,0.017675243,-0.0135464175,-0.026816659,-0.014416371,-0.015341559,0.01578344,-0.022163099,-0.037338953,-0.012648846,0.012987161,-0.0069976016,0.023461124,0.020119399,-0.020989353,0.019235637,-0.03802939,-0.01589391,-0.009983751,-0.010328971,-0.01334619,-0.0047881957,-0.012158634,-0.013774262,-0.014927296,-0.019953692,0.031290706,0.012379575,-0.013339286,0.008499307,-0.009410687,-0.026029559,-0.0066627385,0.018862799,0.0032709558,1.2676032e-05,0.012296722,0.012980257,-0.031373557,-0.015258706,-0.02260498,0.006169074,-0.0037042063,-0.022950199,0.009852568,-0.0270376,-0.028446095,0.006638573,-0.022453083,-0.0014136743,-0.0007115839,0.002413085,-0.008492402,-0.002007452,0.013760453,-0.001215173,-0.0045534465,-0.0055200616,0.023599213,0.0056339838,0.0034970746,-0.032975376,0.022784494,-0.00030681392,-0.0191804,-0.015244897,-0.0061138393,0.006956175,0.01323572,0.010715617,-0.015010148,-0.027852317,0.0135188,-0.005040206,-0.005861829,-0.0039907387,-0.025062943,0.010225405,0.013145963,-0.0010063151,-0.021527894,0.0030500153,-0.02329542,-0.004864144,0.006711069,0.0053612604,0.006655834,-0.006041343,-0.009438304,0.010128743,-0.018793756,-0.0245244,-0.025366737,-0.023226375,0.03280967,0.016970996,0.017509539,0.033886757,0.03529525,0.020699367,0.009175937,-0.0038250333,0.0015664339,0.019138975,0.012745508,-0.023640638,0.015355368,0.00040045474,0.01215173,-0.005896351,-0.008727152,0.009686862,-0.002552899,-0.00411847,-0.033693433,7.001485e-05,-0.0315945,-0.01919421,-0.008140278,-0.0224807,-0.027990406,-0.047060337,-0.0002623669,0.053550463,0.0041081132,0.013511895,-0.0021334572,-0.012559089,-0.011765084,0.034107696,0.003890625,0.00078408,-0.006938914,0.0016743151,-0.008823813,0.032754436,0.026719997,0.007940051,0.019125165,0.0011841032,0.01180651,0.0058204024,0.019373724,0.011060836,0.030683119,-0.0021921445,-0.00829908,-0.0023940979,-0.014692547,-0.025822427,-0.02589147,0.009893994,0.01282836,-0.032091614,0.017247172,-0.0027168782,-0.015590117,0.0037076585,0.0025925993,0.040238798,-0.0065626246,0.024772959,0.019401342,-0.014264474,-0.016252939,0.029053682,-0.0053094774,0.004505116,0.028805124,0.044906165,-0.024952473,-0.020644132,-0.011454387,0.020409383,0.017799523,-0.027962787,0.007332464,-0.007960764,0.007505074,-0.0086028725,0.011447482,-0.040349267,-0.0011245529,-0.014098769,-0.033859137,0.031732585,0.001198775,-0.008720247,0.003718015,-0.026153836,0.008188609,-0.01669482,-0.0046880823,0.0023371368,-0.02974412,-0.015258706,0.033002995,-0.008782387,0.0138847325,0.0010589611,0.006535007,0.026761424,-0.0113646295,0.025919087,-0.0029499016,0.0052266247,0.031042147,-0.012158634,-0.005005684,0.0071736635,0.01243481,0.029495563,0.006058604,-0.022508318,-0.020091781,0.0018762685,-0.012524568,0.01987084,-0.03294776,-0.0058169505,-0.0063831103,-0.014361136,0.01329786,-0.019539429,0.015742013,0.011958407,-0.025988132,-0.0015129249,0.022107864,0.016280556,0.014140195,0.0142230475,-0.012980257,0.008119565,0.021210292,-0.0088031,0.01579725,0.037946537,-0.0013541239,-0.032975376,0.0019712038,-0.022964008,0.0033175603,0.023833962,-0.033748668,-0.02713426,-0.023212567,0.0042047747,0.023944432,0.036068544,8.711401e-05,-0.01499634,0.016722437,8.166601e-05,-0.02919177,-0.012248391,0.029937444,-0.02509056,0.019235637,-0.016943378,-0.005651245,0.028363243,-0.03996262,0.0014378397,0.02032653,-0.030047914,-0.014775399,-0.011274872,0.016487688,-0.046038486,0.0054303044,-0.02306067,-0.005195555,-0.02658191,0.029771738,-0.005782428,-0.0022853538,0.025518633,0.01920802,-0.0015664339,-0.0018072246,-0.011143689,-0.018559005,-0.0057340977,-0.008340506,-0.00627264,-0.00089066656,0.010598242,0.03529525,0.04485093,-0.034356255,-0.01095727,-0.021306954,-0.031125,-0.019456577,0.00936926,0.014009012,0.0034090437,0.015452029,0.008402646,0.0116062835,0.020354148,0.009148319,-0.007004506,-0.0139330635,0.01419543,-0.009099989,-0.0002789806,-0.008616681,-0.0278247,0.009707576,0.016556732,0.004242749,-0.004915927,0.024911046,-0.013877828,-0.0046949866,-0.011102263,0.008209323,0.0029516276,-0.007505074,-0.012800743,-0.04485093,0.008727152,0.001039111,0.0040770434,-0.014361136,-0.030931676,-0.022052629,-0.021942157,-0.020133207,-0.011778893,-0.007484361,-0.010094222,-0.02850133,0.033085845,0.010805374,0.00932093,0.04973924,0.027962787,0.004663917,-0.007187472,0.022812111,-0.01419543,-0.026927128,-0.001373974,-0.013746644,0.025131987,-0.02930224,0.019442769,-0.036841836,0.015548691,-0.016805291,-0.036427572,-0.02112744,0.029440328,0.005986108,-0.0024165371,0.00092173635,0.02464868,-0.014913487,-0.0064728674,0.013988298,0.019442769,-0.033555344,0.01738526,-0.011564856,-0.008312888,-0.010529198,0.012448619,0.010971079,-0.0052369814,0.045651842,0.18669476,-0.00091483194,0.027410436,0.015313942,-0.0045845164,0.010991792,0.01576963,0.009583296,0.006110387,0.0068077305,-0.0315945,0.014333518,-0.0024959377,0.00982495,0.010591337,-0.029909827,-0.036372337,-0.012089591,-0.017509539,-0.016957186,-0.0031104286,0.0073462734,-0.027106643,-0.022922581,0.007025219,0.0050816326,-0.008305984,0.008906666,0.020989353,-2.3868699e-05,0.013822593,-0.029136535,-0.0011582117,0.009790428,-0.027382819,-0.0054475656,-0.013905446,-0.006269188,0.02999268,0.013021683,-0.005934325,0.0044084545,0.0074705523,0.0077260146,0.012303627,-0.005261147,0.014595885,-0.015382986,-0.0014775399,-0.0010934831,-0.033251554,-0.012310531,0.019939885,0.008678821,-0.0009856019,-0.0053094774,0.021527894,0.016805291,-0.0012393384,0.008816909,0.01101941,0.03214685,-0.015203471,-0.019580856,-0.0012842169,0.017509539,-0.028970828,-0.0042531057,0.023654448,-0.0245244,0.0055028005,-0.011357725,-0.0086028725,-0.004853788,-0.025518633,-0.016404836,0.033002995,0.021334572,0.013898541,0.018103316,0.00043411367,-0.013594748,-0.004070139,0.0064417976,-0.02021606,-0.031732585,0.011254159,-0.0019487647,-0.033831522,0.0032813123,-0.0016432453,-0.011426769,-0.0045638033,-0.0045534465,-0.007926242,0.013539513,0.009017136,0.02680285,-0.0096178185,-0.0016950283,-0.01850377,0.026153836,0.009638531,-0.00411847,0.0062760925,-0.013277146,-0.010398014,0.019290872,0.0029965062,-0.015949145,0.0038630073,-0.043304347,0.016225321,0.0006201007,-0.0011314573,0.019359915,0.0064383456,-0.03153926,0.0024734985,0.0018003202,-0.01579725,-0.027631378,0.004560351,0.012773125,-0.01987084,-0.02031272,-0.020699367,0.0029291883,-0.011254159,-0.021527894,0.013574035,-0.024262033,0.020160824,-0.0056339838,-0.0014827182,0.0036213535,-0.0114129605,0.00053422735,0.0049711624,0.013159771,-0.016750054,-0.0070183147,0.0063831103,-0.012331245,0.0047053434,0.0011047027,-0.0030379326,0.02952318,0.00035881263,-0.009044753,-0.02622288,-0.0027496743,0.020160824,-0.014292092,0.03949312,-0.017633818,-0.009058562,-0.010197788,0.008927379,0.019000888,0.0037767026,0.0071736635,0.01419543,0.009286407,-0.008885953,0.0011176484,-0.17730479,-0.0027427697,0.02112744,-0.023033053,0.0020920308,-0.011012506,0.028059449,0.0018779946,-0.0022042273,-0.014264474,0.0022145838,0.019401342,-0.043414816,0.005506253,0.014858251,0.014664928,0.0119445985,0.02783851,0.01998131,0.016791482,0.028073259,-0.00075042114,0.02395824,0.026084794,0.0032364337,0.0010183979,0.002502842,0.05131344,-0.013083823,-0.012655751,-0.028446095,-0.013477373,0.015866293,-0.0043704803,-0.013090727,-0.0013040671,-0.0042392965,-0.006690356,-0.007864103,0.010425632,0.0048883096,0.011385342,0.01454065,0.0012764495,-0.0011366355,0.030959293,0.002621943,-0.008022903,0.028100876,-0.010453249,0.011212733,-0.044270962,0.020050354,-0.0030897155,0.014471605,-0.0028169919,0.015645353,0.02225976,0.003573023,8.8462526e-05,-0.02397205,0.002658191,0.0142230475,-0.013774262,-0.04896595,-0.009452113,-0.026789041,0.010418728,-0.016101042,-0.0010434262,-0.027396629,-0.021265527,-0.014692547,-0.021555511,0.019705135,0.006514294,-0.028100876,0.0048089093,0.03032409,0.01590772,0.007415317,0.05029159,-0.007587927,0.00771911,-0.0032761341,-0.00823694,-0.009493539,0.017219555,-0.022328803,-0.01658435,-0.0019263254,-0.027327584,0.0031794726,0.0013506718,0.023184948,0.016777672,-0.027424246,-0.004546542,0.03258873,-0.017744288,0.011185115,0.0069699837,-0.0139330635,0.017578581,0.041536823,0.009030945,-0.017965227,0.022218334,0.03838842,0.025035325,-0.010971079,0.004467142,-0.0015595296,-0.007394604,0.0010089043,0.02669238,-0.0021403616,0.0030603718,-0.004722604,0.009203555,0.024262033,0.011882459,-0.0009303668,0.018489962,-0.002958532,-0.0074705523,-0.10085936,-0.003048289,0.012579802,0.01601819,0.011999833,0.016943378,-0.002606408,0.009065467,-0.014443988,0.031760205,-0.021389807,-0.021831688,-0.0051472243,-0.0054475656,0.032340173,-0.0008017725,-0.023212567,-0.01362927,0.022922581,0.026554292,-0.025560059,-0.01521728,0.017012423,-0.0026789042,0.0039493125,0.009051658,-0.028363243,0.007304847,0.023695873,0.021072205,0.018489962,-0.033665817,0.019663708,-0.009410687,-0.006075865,-0.020243678,-0.017979037,-0.0061932397,0.001744222,-0.04576231,-0.004577612,0.013132154,0.015148236,-0.018945651,0.021210292,-0.01793761,-0.001003726,0.0032450643,0.0061897873,-0.0054613743,-0.022660214,-0.019939885,-0.00030141987,-0.0058480203,-0.012110304,-0.011433673,-0.00829908,-0.017330024,-0.020050354,0.0094244955,0.0037628936,0.006535007,-0.044132873,0.03189829,0.022190716,0.011502718,-0.048745006,-0.011834128,0.015037766,-0.011164402,-0.055483695,0.050153505,-0.016653394,0.012310531,-0.02736901,-0.009907803,-0.011433673,0.014002107,0.034798138,0.0010744961,-0.019898457,-0.029357474,0.0002942997,0.00046906713,0.012082686,0.024248226,-0.007905529,0.0053819735,0.01771667,-0.033582963,0.024634872,0.02125172,0.004208227,-0.0155625,-0.0020488785,0.024054902,-0.009914707,0.026540482,-0.011233446,0.00029861496,-0.05056777,-0.009438304,-0.06595075,0.027976597,0.021762643,-0.0004733824,-0.010515389,-0.012082686,0.029329857,-0.010805374,-0.017095275,-0.0058721853,0.00045223767,0.008388836,-0.036399957,0.0026547387,-0.014209239,-0.023474934,0.018048082,0.0067179734,0.052197203,0.006282997,0.00658679,0.006783565,0.02054747,0.0020437,-0.025684338,-0.013042397,0.009700671,0.01487206,0.004529281,-0.0053612604,0.03142879,-0.024842003,-0.00070165884,0.0134980865,0.020920308,-0.036841836,-0.01248314,-0.010025177,0.03747704,0.011281776,-0.01840711,-0.03314108,0.0015060205,-0.030406943,-0.009106893,0.004315245,0.0035557619,-0.016874334,0.009486634,0.008002191,0.040708296,-0.0043048887,-0.01601819,0.0010486045,0.0053094774,-0.023350654,-0.008105757,0.023392081,0.027797082,-0.0054199477,0.0072081853,0.0171367,0.004612134,-0.012572898,-0.00063693017,-0.018255213,-0.018862799,0.0054406608,0.0053992346,-0.03927218,-0.01419543,-0.002977519,0.013221911,0.00852002,0.0113646295,-0.036096163,-0.013815689,0.0007625038,0.0018641859,0.009024041,-0.0026167645,8.490244e-05,-0.033638198,0.03987977,0.010729426,0.010508485,-0.017095275,0.034107696,-0.026789041,0.0018952556,-0.017896185,0.0034780875,0.015700588,0.017523346,-0.021265527,0.0039941906,0.0061897873,-0.024482975,0.01317358,0.03871983,-0.0013575761,-4.8465598e-05,-0.015175854,-0.026844276,-0.00299478,-0.0004945271,0.016363408,-0.03021362,0.032533497,0.030986913,0.00036420667,0.003241612,-0.029799357,0.0054095914,0.0034452917,0.00806433,-0.0056029144,-0.009238076,-0.009486634,0.020091781,0.026112411,0.0028981185,-0.005671958,-0.008740961,0.037946537,-0.009638531,0.010632764,0.0037939635,0.013263337,-0.01726098,-0.011847937,-0.0009208733,-0.012835265,-0.018006654,0.008885953,-0.009866376,0.0029533538,0.01015636,0.0028480617,0.10345541,-0.01010803,-0.0053474517,-0.006424537,-0.008589064,0.021458851,0.003188103,0.019000888,-0.017288597,-0.035958074,0.021859305,-0.009880185,-0.0139330635,-0.014692547,0.007546501,-0.0067697563,-0.025518633,0.008982614,-0.027079025,-0.00025071573,0.0074912654,-0.01987084,0.030572647,0.0027065217,-0.016114851,0.004753674,0.029965062,0.005526966,0.004415359,-0.028073259,0.0016699998,0.0069976016,0.017813332,-0.016045807,-0.0010710438,-0.01204126,-0.008326697,0.012365766,0.003115607,0.017330024,-0.0037214672,0.010888226,-0.009804237,-0.0019522168,-0.023433506,-0.011198924,0.023764918,-0.036482807,-0.01521728]','plot population pyramids by age for a country using HDX data as an image','{"mem_type": "recipe", "custom_id": "c6354e0c-28f6-4ba5-b2aa-69f25285cb14"}','c6354e0c-28f6-4ba5-b2aa-69f25285cb14','f5326850-7010-4185-a0b2-035ffc95a09d'); +INSERT INTO public.langchain_pg_embedding ("collection_id","embedding","document","cmetadata","custom_id","uuid") VALUES + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.009034847,0.007701032,-0.0023956033,-0.036757156,0.004082178,0.015275702,-0.014671975,-0.0034117606,-0.0011723539,-0.008262638,0.0048263073,0.029512431,0.015584585,-0.0018164467,-0.0062759547,0.01759233,0.0061636334,-0.02942819,0.011182993,-0.022408105,-0.026325313,0.024584332,0.033499837,-0.028698102,-0.011667379,0.0090699475,0.008206477,-0.025426742,0.009034847,-0.011000471,0.029737074,-0.017564248,-0.0043419213,-0.038947422,-0.020568844,-0.0016611273,-0.0013452235,-0.020259961,0.022197504,-0.0012495748,0.004577094,-0.03681332,0.0003869821,-0.009420952,-0.0049175685,0.011590158,-0.0072728065,-0.011407635,-0.022127302,0.020063398,0.0033520898,0.022211544,-0.015753066,-0.007195586,0.019080587,0.0039874073,-0.015388023,0.0009810566,-0.00929459,-0.019206949,0.0015698662,-0.01686224,-0.017845051,-0.0038961463,-0.029287789,-0.02099005,0.015303782,0.00927353,0.044001885,0.013527701,0.044114206,0.023250517,-0.0038048853,-0.01690436,0.012292166,0.010368663,-0.01686224,-0.0038154155,0.021607816,-0.0076448712,0.024738774,-0.044760052,-0.0009889542,0.011856921,0.02695712,0.008550461,-0.004910548,0.044956613,0.021523576,-0.0050088293,0.01092325,-0.007069224,0.016174272,0.017873133,-0.008964647,0.00843814,0.013239877,0.012952054,0.008845305,-0.016398914,-0.031590376,0.007121875,-0.00755361,-0.00032950516,-0.026367433,-0.004615705,-0.018083734,-0.001267125,0.017325565,-0.00052957755,-0.017816972,0.042373225,0.0011161932,-0.043973804,-0.0025605755,-0.031506132,0.010635426,0.0012688801,-0.005479175,-0.007932694,0.015542465,0.030916449,0.015921548,-0.005556396,0.005479175,0.01850494,-0.01840666,-0.042569786,0.011295314,-0.00027290575,-0.0009582414,-0.0014821151,0.004289271,-0.00253425,-0.027378326,0.011548038,0.007083264,0.0074974494,-0.02593219,-0.007750172,0.00840304,0.025005538,0.016272552,-0.010431844,-0.0035819977,0.0252723,0.011976263,0.0044121225,-0.0031818529,-0.01763445,-0.00019864642,0.007223666,0.011653339,0.003288909,-0.015556505,0.019277148,-0.002016519,0.0047561065,-0.013548762,0.0056932876,-0.014138448,6.2412924e-05,0.0037381945,0.0033047043,0.0066971597,0.04388956,-0.0075465897,0.0006783156,0.0010161571,0.015051059,0.0033152346,0.017072843,-0.015823267,-0.00294668,0.001555826,-0.0011995567,-0.010663507,0.019614113,-0.021621857,-0.022365985,-0.013408359,0.0066971597,0.007981835,0.0036574635,-0.009519233,0.003027411,0.022534467,-0.019586032,0.00018943257,-0.011161933,0.02945627,0.017578289,-0.013822544,-0.013948906,-0.63214445,-0.021327013,-0.02107429,-0.017325565,0.013218817,0.01693244,0.0038891262,0.0037311744,-0.037571486,0.025384622,0.017901212,0.0455463,-0.005798589,-0.026929041,0.0033345397,-0.022281745,-0.029624753,-0.0033275196,0.01014402,0.02445797,-0.014370111,-0.006377746,0.0009415687,0.015528425,-0.0070130634,0.016286593,0.008389,-0.0020849647,0.024275448,0.026746519,-0.0044998736,0.022014981,-0.020259961,0.0056055365,0.029680913,-0.0169184,0.0059776013,0.033331357,0.019740473,0.02695712,-0.02440181,-6.065791e-05,0.014854497,0.0056932876,-0.0081222365,0.019838756,-0.011281274,-0.011056632,0.0015733762,-0.0454059,-0.0075816903,-0.013380279,0.0059074,-0.0008103809,0.012867813,-0.01423673,-0.013611942,-0.019684313,0.0061776736,-0.013260938,-0.013822544,-0.0045033833,-0.01687628,0.010354623,-0.014952778,0.017606368,-0.01769061,0.0018813824,-0.0040891985,-0.026423594,-0.0151353,0.011548038,-0.02358748,-0.007883553,0.017859092,0.0067638503,0.008227537,-0.011969242,-0.00418046,0.016244473,0.016370835,0.008171377,-0.0060056816,0.01940351,0.003194138,-0.0150089385,-0.04700648,-0.0002928691,-0.0022429165,0.0050193598,0.012025403,0.0068270313,0.0061004525,-0.0354093,-0.0033871904,0.01860322,-0.0036504434,0.0045033833,0.022295784,-0.03271359,-0.0252723,0.0052685724,-0.024556251,0.0045700744,0.045770943,0.012692311,-0.021298934,0.005219432,0.050741162,-0.023166275,-0.010249321,-0.000697182,-0.028599821,-0.014517533,0.017114963,-0.03378064,0.01934735,-0.00021104126,0.016651638,-0.014391172,0.037655726,0.0060267416,0.03608323,-0.020414403,0.01778889,0.02942819,0.005819649,0.0168482,-0.016609518,0.0027062423,-0.013162657,0.007195586,0.025918148,-0.028220735,0.025384622,0.002862439,0.0033959653,-0.014573693,-0.021734178,-0.022141343,-0.006082902,0.005289633,-0.0010135245,-0.013717243,-0.009140149,-0.023755962,-0.022969713,-0.008627682,-0.0027553828,-0.0045314636,-0.018841904,-0.008543441,-0.0074483086,0.0026500814,0.017999494,0.00076562783,0.014061227,-0.0045139138,0.009168229,-0.010031699,0.005468645,0.029821316,-0.019571992,-0.0069393525,-0.008108196,0.009470092,-0.016286593,0.035858586,0.018631302,-0.0058407094,0.012790592,-0.022843352,-0.02271699,0.009456052,-0.008389,0.01596367,-0.011042591,-0.022590628,0.0002867265,-0.016778,0.02430353,0.026549956,-0.014187589,-0.043187555,0.018420698,0.009498172,-0.0077080517,0.008094156,0.010761788,0.02277315,-0.01676396,0.038357735,-0.0060407817,0.0075185094,0.014938738,-0.0069920034,0.016511235,0.022464268,0.020877728,0.01853302,0.030411001,0.00843112,0.018898064,0.00932267,0.032404706,-0.03518466,0.0008020445,-0.015219541,-0.023376878,0.012341307,0.015584585,-0.03206774,-0.0027448526,-0.01088113,-0.0046437853,0.016244473,-0.010649467,-0.011941162,-0.018336458,-0.0028396237,0.0041523795,-0.020414403,0.025890067,0.0029150897,-0.004819287,-0.028641941,0.00087356166,0.011456776,0.009041867,-0.028290937,-0.0076027503,0.028206695,-0.019235028,0.02603047,0.034510728,0.009498172,-0.0019638683,-0.0068480917,0.0120605035,0.002690447,-0.0034714313,0.010431844,0.0070235934,-0.014461372,-0.00756063,0.007244726,0.024654534,0.0019972136,-0.024149086,0.010649467,0.008971666,0.012264086,0.00923141,0.020919848,0.017199203,0.009891298,0.0044121225,0.010417804,0.03366832,0.018869985,0.023250517,0.0075957305,-0.0008840918,0.010523105,-0.0073570474,-0.0031344672,-0.02598835,-0.01930523,-0.00850834,-0.00094244623,-0.018083734,-0.020639045,-0.009308631,-0.03021444,-0.0023920934,-0.027027322,0.006886702,-0.0035626923,0.0062724445,0.012923974,-0.014629854,-0.024092926,0.018884024,0.010368663,-0.0058266693,-0.03218006,-0.02694308,0.010305482,-0.028838504,0.009919378,0.0027132623,0.00057433057,0.024963416,0.0013469785,-0.021186613,-0.011112792,0.005542356,-0.0064303963,-0.0059916414,0.011063651,-0.019501792,0.00013294282,-0.0036679937,-0.021298934,0.015668826,-0.0067673605,-0.008697883,-0.009870237,-0.026816718,0.007490429,0.003108142,-0.022506388,-0.018224137,0.02948435,-0.009933418,-0.011983283,-0.027939932,0.005465135,0.027532768,-0.005401954,-0.006082902,-0.03771189,-0.04139041,0.0073500276,0.05778933,0.02521614,0.014671975,-0.01256595,-0.0053106933,0.0074974494,-0.00027553827,-0.012530849,0.023910405,0.0075465897,0.0053563234,0.0022253664,0.016623557,-0.0023236475,0.011161933,0.0146438945,-0.009933418,-0.007476389,-0.03706604,0.013106496,-0.01940351,0.008108196,0.0033099693,0.01945967,0.023798084,0.0044928533,0.039845992,0.019726435,-0.005528316,-0.0049035284,-0.023826163,0.020077439,-0.012320247,0.020091478,-0.0006225936,0.015851349,0.013604922,-0.017171124,0.02438777,0.0024833544,0.009750896,-0.0042647007,0.011197033,-0.01517742,0.01945967,0.015093179,-0.017564248,0.008206477,-0.017381726,-0.012123684,0.034061443,-0.007490429,-0.024191208,0.0031432423,-0.016300634,-0.009561353,-0.009814076,-0.026339354,0.019754514,0.0032853992,-0.023980604,-0.003350335,0.027476607,-0.026690358,0.006142573,0.0044437125,-0.020105518,-0.01693244,-0.023461118,0.013724264,-0.022099223,-0.03448265,-0.0139769865,0.0107477475,-0.00932267,0.011653339,0.02438777,-0.02110237,0.013850625,-0.03782421,-0.006560268,-0.012874833,-0.0074483086,-0.0066585494,-0.0044823233,-0.0065181474,-0.005661697,-0.012158785,-0.019628152,0.020077439,0.023236476,-0.019740473,0.0069147823,-0.02597431,-0.029147387,-0.0038259455,0.025651386,0.0035539174,0.0017365932,0.014110368,0.004029528,-0.03128149,-0.01424375,-0.023404958,0.008374959,0.0032853992,-0.016230432,0.009378831,-0.033359434,-0.02437373,0.0072517465,-0.024893217,-0.005145721,-0.0067533203,0.008473241,-0.012285146,-0.002197286,0.003036186,-0.0067112,-0.004054098,0.0024815996,0.017606368,0.0066445093,0.0023324226,-0.029765155,0.018083734,-0.0012083319,-0.032601267,-0.020344201,0.0044823233,-0.0035802426,0.019010385,0.011309355,-0.008367939,-0.028726183,-0.0016856976,-0.0066199386,-0.0010925004,-0.009666655,-0.024808975,0.00071341597,0.009561353,-0.0018989326,-0.025356542,-0.0049316087,-0.019810675,-0.004440203,0.005956541,0.017760811,0.004475303,-0.008241578,-0.008768084,0.01774677,-0.016792038,-0.027280044,-0.027350245,-0.017957373,0.035605863,0.025426742,0.018841904,0.039705593,0.023910405,0.021986902,0.004387552,0.007135915,0.0050088293,0.01090921,0.008339859,-0.023615561,0.01594963,0.0011109281,0.016637597,-0.004871938,-0.017943332,0.020021278,0.00924545,-0.00023034649,-0.025553104,0.004278741,-0.03293823,-0.022267705,0.00089506066,-0.018841904,-0.02948435,-0.04619215,-0.00025403927,0.055964105,0.012509788,0.0076589114,-0.0023973584,-0.014391172,0.0010714402,0.029708995,0.0062619145,0.0008064321,-0.009652615,-0.0010784602,-0.007904613,0.026114712,0.020639045,0.00031327122,0.017873133,0.0062689343,0.011456776,0.015345903,0.022478307,0.005963561,0.03262935,-0.002437724,-0.008810204,-0.012130705,-0.017985454,-0.027602969,-0.033471756,0.008276678,0.01590751,-0.03453881,0.017859092,0.00066690793,-0.006802461,0.0031625477,0.002867704,0.03639211,-0.009849177,0.03181502,0.007946734,-0.0027536277,-0.00843814,0.03192734,-0.0034819616,0.012643171,0.027490648,0.039003585,-0.018617261,-0.010712647,-0.010354623,0.030074038,0.020849647,-0.026549956,0.005303673,0.0003321377,-0.0053598336,-0.008557482,0.008185417,-0.040154878,-0.00013787883,-0.013808505,-0.02598835,0.024289489,-0.0020568843,-0.0077922926,-0.004155889,-0.03692564,0.0013425909,-0.014700055,0.0004883345,0.013780424,-0.02103217,-0.021242773,0.03476345,-0.013527701,0.012250045,0.00058749324,0.0038224356,0.031225331,-0.005465135,0.020639045,-0.010193161,0.002874724,0.034286086,-0.013155636,-0.0041593993,-0.003906676,0.0011627013,0.021565696,0.0028343587,-0.018884024,-0.022014981,-0.0035539174,-0.017002642,0.022113264,-0.034398407,-0.015696906,-0.010249321,-0.015247622,0.006139063,-0.016637597,0.0090910075,0.01258701,-0.03189926,0.0051106205,0.013345179,0.01689032,0.02024592,0.020540765,-0.012116664,0.015781147,0.019052505,-0.008501321,0.029680913,0.039200146,-0.010502045,-0.0404076,-0.0022920573,-0.009884277,0.007722092,0.0070235934,-0.03375256,-0.033134792,-0.013597902,0.009357771,0.027041363,0.02426141,-0.00147685,-0.019010385,0.02603047,0.010333563,-0.029287789,-0.0150089385,0.024486052,-0.019473711,0.018224137,-0.00094244623,-0.005809119,0.033275194,-0.03861046,0.011007491,0.027181763,-0.02614279,-0.014075267,-0.007995875,0.007244726,-0.040772643,-0.004861408,-0.025328461,-0.007223666,-0.021776298,0.026339354,-0.0047069658,0.0018620772,0.020400362,0.011484857,-0.02598835,-0.011063651,-0.012390448,-0.01769061,-0.015065099,8.7257446e-05,-0.010740727,0.0052510225,0.0038540259,0.044956613,0.04852282,-0.035072338,-0.015373983,-0.03274167,-0.025623305,-0.012664231,0.00036679936,0.020681165,-0.0006401439,0.011512937,0.0041734395,0.017367685,0.016455075,0.0169184,-0.007469369,-0.0219167,0.0010100144,-0.005728388,-0.00020314366,-0.002274507,-0.026788639,0.00841708,0.024121007,0.0043559615,0.014068248,0.028417299,-0.018617261,0.009778976,-0.015163381,0.016384874,0.0005778406,-0.0136540625,-0.0063601956,-0.044001885,0.010207201,0.00041506244,0.0053212233,0.0007590465,-0.025819868,-0.025370581,-0.021832459,-0.02017572,-0.023376878,-0.0100808395,-0.012839733,-0.016792038,0.025553104,0.010621387,0.004082178,0.041643135,0.03206774,0.004900018,-0.0013838339,0.0286279,-0.02434565,-0.023152236,-0.011190013,-0.011906061,0.02186054,-0.02441585,0.01840666,-0.03108493,0.015247622,-0.02434565,-0.037459165,-0.01774677,0.027153684,0.0016488421,0.0046437853,0.0024851095,0.02847346,-0.014208649,-0.0019779084,0.015247622,0.018027574,-0.040548,0.009399892,-0.0149668185,-0.0075044692,-0.010228261,0.022365985,0.002774688,-0.0033398047,0.045293577,0.1890368,0.00083144114,0.024092926,0.014826417,-0.015837308,0.018855944,0.01421567,0.01261509,0.009161209,0.016328713,-0.02180438,0.018673422,-0.0013504885,0.010684567,0.008515361,-0.01687628,-0.023180315,-0.015626704,-0.015654786,-0.019094627,0.00070727343,0.0006783156,-0.025679465,-0.030411001,0.016314674,0.0033222546,-0.011323394,0.011807781,0.021678017,0.00021904854,0.006381256,-0.027504688,7.288821e-05,0.0027220373,-0.022604669,-0.0064233765,-0.0075114896,0.0033011942,0.02110237,0.011569098,-0.012727411,0.007107835,0.0051773116,0.006395296,0.017915253,-0.0056652073,0.01594963,-0.014391172,0.0020323142,-0.00015839063,-0.023236476,-0.014798336,0.015051059,0.013569822,-0.0076869917,-0.006805971,0.024135048,0.012355347,0.0003929053,0.0057424284,0.010579266,0.032545105,-0.012572969,-0.024022726,0.0030958569,0.028754262,-0.030860288,-0.01014402,0.00841006,-0.033162873,0.018617261,-0.013640022,-0.016328713,0.002274507,-0.01764849,-0.016553355,0.035858586,0.007132405,0.01594963,0.025525024,-0.0009091008,-0.017760811,-0.0040856884,0.0070060436,-0.02024592,-0.0355497,0.013071395,0.002041089,-0.025791787,0.0072517465,0.005573946,-0.0075044692,-0.0061601233,0.0013250407,0.0012960829,0.01088113,0.01257999,0.011653339,-0.006082902,0.0067638503,-0.018336458,0.030719886,0.020259961,0.002867704,0.004615705,-0.017929293,-0.010831988,0.019951077,0.008943586,-0.017381726,0.003194138,-0.050853483,0.014447332,0.0039979373,0.0059038904,0.021649938,-0.0048438576,-0.029596671,0.006289995,0.008943586,-0.0133521985,-0.03462305,-0.006630469,0.011239153,-0.019698353,-0.023657681,-0.018827863,-0.003787335,-0.004415632,-0.02023188,0.0076799714,-0.015724987,0.01433501,-0.0016883301,0.004945649,0.0015663562,-0.009456052,0.0100808395,0.0029519452,0.019529872,-0.014229709,-0.0023991135,0.013176696,-0.019108666,0.014784296,-0.007072734,-0.0044366927,0.012748471,-0.0059425007,-0.009821096,-0.03484769,0.009582413,0.034707293,-0.015668826,0.037459165,-0.017802931,-0.0030010857,-0.008831264,-0.001849792,0.01767657,0.009308631,0.01676396,0.015345903,0.0097579155,-0.012720391,0.0046543153,-0.18128663,0.005240492,0.025876028,-0.025047658,-0.0024833544,-0.00928055,0.041952018,0.0035644474,-0.0055458657,-0.011133852,-0.005215922,0.019136747,-0.036420193,0.017269405,0.013211797,0.026690358,0.014924698,0.030776046,0.021312973,0.010228261,0.018827863,-0.0034328208,0.021607816,0.028838504,0.0037206444,-0.00015202868,-0.013211797,0.040884964,-0.004956179,-0.0218465,-0.030747967,-0.011597178,0.020498643,-0.0065321876,-0.017227285,-0.0038926364,-0.004057608,-0.014145468,-0.011232134,0.008030975,0.0069253123,0.01940351,0.011042591,-0.0070762443,0.0037522346,0.032376625,-0.005587986,-0.006461987,0.023854245,-0.008908486,0.013689163,-0.050741162,0.023124155,-0.0054230145,0.020161679,-0.00419099,0.005229962,0.021972861,0.0050018094,0.0008169622,-0.017845051,0.002867704,0.005194862,-0.023067994,-0.041418493,-0.007399168,-0.02934395,0.008115216,-0.012966095,0.018575141,-0.010544165,-0.0124044875,-0.014475413,-0.018813822,0.018027574,0.010193161,-0.023699801,0.009133128,0.03863854,0.008838285,0.0028852543,0.037515324,-0.015739027,0.0041137687,-0.006900742,-0.0097157955,-0.0010021168,0.008641723,-0.016637597,-0.010544165,-0.012376407,-0.024570292,0.012664231,-0.010670527,0.02350324,0.018757662,-0.021551656,-0.01606195,0.038975503,-0.020723287,0.014840457,-0.003604813,-0.009329691,0.017985454,0.033247113,-0.0012969604,-0.026929041,0.025693506,0.043131392,0.015037019,-0.0031520175,-0.002874724,-0.008178397,-0.019150788,-0.002195531,0.03891934,0.0023183825,-0.00018778723,0.00015224806,0.0070306137,0.039761752,0.014173549,-0.0072377063,0.011892022,-0.0013346934,-0.007399168,-0.09339519,-0.002106025,0.004471793,0.01610407,0.01940351,0.011351475,-0.0073359874,0.010277402,-0.009329691,0.03206774,-0.012320247,-0.021467416,-0.003531102,-0.0011372535,0.03608323,0.0069147823,-0.022534467,-0.006289995,0.018715542,0.02934395,-0.02843134,-0.010375683,0.013962946,-0.010298463,0.008059056,0.006648019,-0.039817914,0.018743623,0.019670274,0.017873133,0.016202353,-0.04136233,0.031534214,-0.005303673,-0.003208178,-0.024921296,-0.01770465,-0.009652615,0.0008323187,-0.042654026,-0.006033762,0.013794464,0.013541741,-0.024780896,0.019473711,-0.016075991,0.0025324952,0.00422258,0.012151765,-0.017129004,-0.02858578,-0.01769061,-0.011976263,-0.0018550571,-0.00422258,-0.0063637057,-0.00923141,-0.0070867743,-0.0268448,0.0048438576,0.005454605,0.011899042,-0.054840893,0.02867002,0.021369133,0.021481454,-0.04863514,-0.0075957305,0.008185417,-0.014938738,-0.041109607,0.040070634,-0.018687462,0.00923141,-0.032966312,-0.0100668,-0.00039356344,0.0058266693,0.03105685,0.0017093903,-0.018898064,-0.025370581,0.009399892,0.0026307763,0.015977709,0.0169184,-0.007223666,0.004577094,0.016398914,-0.02604451,0.0168482,0.026395515,-0.008768084,-0.020779448,-0.0054265247,0.018771702,-0.009013787,0.022057103,-0.013843604,0.0025061697,-0.050825406,-0.025693506,-0.07413208,0.02618491,0.014005067,-0.0019866836,-0.019796636,-0.013548762,0.02099005,-0.0136751225,-0.019515831,-0.008374959,0.013794464,0.010277402,-0.029680913,0.0051632714,-0.019908957,-0.016174272,0.0184909,0.008522381,0.05051652,0.003794355,0.0028027683,-0.0025535554,0.017058803,0.0022955672,-0.028754262,-0.013296038,0.0041980096,0.011456776,-0.0023447077,-0.0050298898,0.028950825,-0.01850494,0.0022394066,0.015837308,0.02350324,-0.042625945,-0.015724987,-0.00588634,0.029624753,0.0021183102,-0.016511235,-0.03220814,-0.0020990048,-0.030944528,-0.013232857,0.0039979373,-0.008964647,-0.00423311,0.015261662,0.01347154,0.032320462,-0.0048298175,-0.0046718656,0.00068401935,0.011962222,-0.016426995,-0.014700055,0.015219541,0.02945627,-0.005774019,0.006834051,0.026971161,0.0077571925,-0.017072843,-0.003534612,-0.026212992,-0.00590038,0.009498172,0.008985707,-0.045995586,-0.016230432,-0.00504393,0.013611942,0.00424364,0.009828117,-0.030102119,-0.0051702913,-0.0009433237,0.0015101954,0.0045139138,-0.005279103,0.007156975,-0.039115906,0.039845992,0.014517533,0.008129257,-0.015093179,0.03116917,-0.013857645,0.004278741,-0.025665425,0.006911272,0.012228985,0.006244364,-0.028894665,0.0058723,0.0006857744,-0.01514934,0.007065714,0.031730775,-0.008620663,-0.0032906642,-0.025861988,-0.0117446,-0.012481708,0.0100597795,0.018729582,-0.026311273,0.03386488,0.022225585,0.0073570474,-0.00067129545,-0.03467921,0.0133100785,0.0021586756,0.004871938,0.0013250407,-0.002930885,-0.008276678,0.022211544,0.023067994,0.0026237562,-0.005721368,-0.003029166,0.03706604,-0.007230686,0.013057356,-0.0037276645,0.010235282,-0.0065181474,-0.014728135,0.009105048,-0.013724264,-0.016258514,0.0070165736,0.0044261627,-0.0056932876,0.01259403,0.0008511851,0.11243366,-0.010642447,-0.01347856,-0.0063356254,-0.0041945,0.023784043,0.009750896,0.012467668,-0.00836092,-0.036027066,0.017929293,-0.0060091913,-0.01764849,-0.023390919,0.0056897774,-0.014826417,-0.023404958,0.010459924,-0.020793486,-0.002769423,0.002857174,-0.015570546,0.032320462,0.01088113,-0.024064846,0.0050334,0.03271359,0.008059056,-0.005233472,-0.026016429,-0.002688692,0.015205501,0.015261662,-0.021748219,0.0020726796,-0.01092325,-0.005549376,0.007848453,0.008761064,0.014419252,-0.0046823956,0.007469369,-0.0028729693,0.0027501178,-0.0061601233,-0.011000471,0.016665678,-0.040884964,-0.0146438945]','plot population pyramids by age for Chad using HDX data as an image','{"mem_type": "memory", "custom_id": "70d84687-302e-47ac-9019-28921bc20380"}','70d84687-302e-47ac-9019-28921bc20380','cca72b3c-3749-4aeb-abd0-f4be04aee0ae'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[0.0019787615,-0.033968173,-0.012863645,-0.003669024,0.0020110053,0.011546735,-0.023269963,-0.00952385,-0.0155314095,-0.025347153,0.020541104,-0.009876836,0.000458628,0.002800134,-0.026786251,0.010929008,0.019074852,-0.02837469,0.0025438794,-0.01707912,-0.014499603,0.012714305,0.009720707,0.011051196,0.02807601,-0.007161555,0.011533158,-0.023147775,0.002971536,0.025252117,0.0013075777,-0.025048472,-0.014078734,-0.02565941,0.003770847,-0.0025812145,0.0139836995,-0.00933378,0.0021060403,-0.01809735,0.009537426,0.010243399,0.006177265,-0.00012929407,-0.013895453,0.0011370241,-0.0021874986,0.0040355874,-0.020961974,0.026650487,0.0065200697,0.021925898,-0.021532182,-0.0018497854,-0.0077928575,0.026555452,-0.027193543,-0.012578541,-0.0018039651,-0.032610532,0.0128025515,0.025550798,-0.035352964,-0.008234091,-0.0050809705,-0.030736985,-0.0052269166,0.004371603,-0.00041705027,-0.0035570187,0.041408043,0.033235047,-0.010772879,-0.0025116354,0.015694328,0.007772493,-0.0032736112,0.011105501,0.0040729223,-0.008960429,0.013012987,-0.019034123,-0.00687645,-0.010148364,0.0021433753,-0.02981379,-0.00918444,0.025958091,-0.009903989,0.009686767,0.02826608,0.019251347,0.002599882,-0.009795378,-0.014676096,0.020459646,-0.002170528,0.028347539,0.00831555,-0.041435197,-0.030302541,0.03502713,-0.011166595,-0.0025913967,-0.036303315,-0.020188117,0.008790724,0.020812633,0.018844053,-0.01754072,-0.03616755,0.010121211,-0.0039100056,-0.033886712,0.004164563,-0.024844825,0.008471678,-0.016644675,0.0042086863,-0.004456456,0.0131215975,0.02788594,0.016753288,-0.0128025515,0.008471678,0.005590086,-0.010630327,-0.03404963,-0.012374895,-0.0119743915,0.0008137359,0.014336686,0.006910391,-0.008064386,-0.030899903,0.029759483,-0.017282767,0.011295571,-0.018450338,-0.046458464,0.023460032,0.036140397,0.0044937907,-5.2475996e-05,-0.017595025,0.016332418,-0.0068085683,0.01847749,-0.019848708,0.0033805254,0.01031807,-0.017812246,-0.014608214,-0.01874902,-0.003801394,0.014961201,0.0024827856,-0.0065472224,0.0032379732,-0.02532,0.0014526756,-0.032474767,-0.01802947,0.0017284463,-0.012211978,0.032148935,-0.010365587,-0.007304107,-0.012408836,0.018341726,0.016807593,0.014038005,-0.0111122895,0.004833201,0.022835517,0.015001929,0.0010742332,0.031307198,-0.024614027,-0.0014603123,-0.009808955,0.021409994,0.0056511797,0.022020932,-0.019006971,-0.024125276,0.016359571,0.0024199947,0.01239526,-0.0010632024,0.032447614,-0.011193748,0.01779867,-0.002930807,-0.63819975,-0.021301383,0.005104729,-0.013549254,-0.0031887586,0.025007742,0.004157775,0.0059125256,-0.02826608,0.008722842,-0.0028612278,0.0006631226,-0.021735828,-0.030954208,0.010820396,-0.03079129,-0.007005426,-0.012768611,0.023188503,0.00095798523,-0.0238809,0.025849478,0.0102026705,-0.020894092,0.02441038,0.01280934,0.01606089,-0.023650102,0.021858016,0.0035536245,-0.011146231,0.0034314368,0.0020771904,0.012884011,0.04262992,0.023324268,-0.028157469,0.0032260937,0.02339215,0.039588805,-0.022197425,-0.026039548,0.036439076,0.010175518,-0.02470906,0.009130134,0.01953645,-0.0052065523,-0.0005731789,-0.037280817,-0.0032736112,-0.0166311,-0.030193929,-0.005532386,0.024614027,-0.0039846757,0.013854723,-0.048087634,0.010976525,0.01942784,-0.017676482,0.013399914,-0.023052739,-0.02373156,-0.011519582,0.015056236,0.0012795764,0.03383241,0.031117124,-0.009089405,0.005338922,0.02474979,-0.0044496674,-0.017717212,0.024559721,0.032366157,0.014187345,0.005023271,-0.015083388,0.023636525,-0.020310305,-0.014716825,-0.0006126354,0.0012235737,-0.009761437,0.012727882,-0.013929394,-0.017214885,0.0023945388,0.001416189,0.009476332,0.017690059,0.0024522387,-0.010175518,-0.007901469,0.02532,-0.004293539,-0.0035264718,0.02430177,-0.0337781,-0.013406702,-0.009605308,-0.003299067,-0.004341056,0.022292461,0.035651647,-0.028293232,0.019957319,0.020391764,-0.02180371,-0.0001400067,-0.0096596135,-0.018192386,0.0005286314,0.0042731743,-0.026718369,0.024206733,0.0062146005,-0.011960815,-0.00064148527,0.004256204,0.016984086,0.025523646,-0.018423185,0.021885168,0.041815333,0.014961201,-0.024627602,-0.020527529,0.00063087867,-0.005423775,-0.003300764,0.034131087,-0.02614816,0.03586887,0.024627602,0.016617524,-0.0190477,-0.0050707883,-0.0028849866,-0.0061535067,-0.03049261,0.011315935,-0.048956525,-0.010677844,-0.009978659,0.0069443323,3.073253e-05,-0.02180371,-0.015748633,-0.001219331,0.0072226487,-0.0038896406,0.020038778,0.029542262,-0.0067576566,-0.005820885,-0.026609758,0.0101551525,-0.02233319,0.02328354,0.003098815,-0.024668332,-0.007847164,-0.0061195656,-0.0057088793,0.032556225,0.018382456,-0.0011921782,-0.015802938,0.018626831,-0.01836888,-0.01614235,0.06098522,0.010956161,0.041543808,-0.03480991,0.014540332,7.451114e-05,0.0062247827,0.02875483,-0.002565941,-0.03404963,-0.0015214061,0.0055425684,-0.0117978975,-0.0021688312,0.021097736,-0.014268803,0.010413105,-0.00918444,-0.0061908416,0.012123732,0.0127075175,-0.009035099,0.004100075,-0.011254841,0.01481186,-0.001734386,0.0048128366,0.044313394,-0.016671829,0.034755602,-0.02263187,0.023120621,-0.011119078,-0.0025761232,-0.026175313,0.002331748,0.031144278,0.034891367,-0.043851797,0.008471678,0.003699571,0.007297319,0.039778873,-0.012646424,-0.004405544,-0.014418145,0.0027084933,0.007243013,-0.004901083,0.019903013,-0.0020890697,0.012028697,-0.0057224557,-0.0024098123,0.007853952,0.011030831,-0.0098836245,-0.012408836,0.02780448,-0.009903989,0.032529075,0.014214498,-0.026446842,0.015925126,-0.026596181,0.008865394,0.00042638404,0.014581061,0.011716439,0.04667569,0.024573296,0.01923777,-0.017404955,0.020704022,0.022957705,-0.019468568,0.0018090563,-0.0056274207,0.014798284,-0.025034895,-0.0002976203,-0.015287034,-0.002903654,-0.009102982,-0.004364815,0.026256772,0.024274616,0.027723024,-0.0034789543,-0.007236225,-0.012001544,0.0027746782,-0.025306422,0.017418532,-0.013712171,-0.020581834,-0.018463913,0.00091895304,0.0032600348,-0.0053728633,-0.006964697,0.003954129,0.011926874,-0.018043045,0.010650692,-0.02384017,-0.011465276,-0.015327764,0.001732689,0.024953436,0.016929781,-0.014146616,-0.0030088713,-0.0155314095,0.024247464,-0.03519005,-0.010311281,0.017880129,0.0073652007,-0.0074806004,-0.0084648905,0.0004261719,0.021192772,0.00952385,-0.033913866,0.0018379061,0.01107156,-0.008186574,-0.01299941,0.0016249262,0.0081933625,0.04439485,0.0020127024,0.010487774,-0.010039753,-0.017337073,-0.01798874,0.005827673,-0.008485255,0.02422031,-0.020256,0.011193748,0.001564681,-0.018789748,0.011424547,0.026066702,0.013637501,-0.008037234,-0.05112875,-0.020378187,0.027600836,0.072009265,-0.0028154075,-0.0035841714,0.008369856,0.0009927748,-0.011404182,-0.014839013,-0.030845597,0.008627807,-0.013447431,-0.0086549595,0.0030648739,-0.0020602199,-0.021070585,0.042222627,-0.004324086,-0.027940245,-0.019807978,-0.0023877507,0.0007738552,0.0143502625,-0.007881105,0.033588033,0.04070207,0.009795378,0.025021318,0.0448836,0.045236588,0.0067203217,-0.029026357,0.012748246,-0.006937544,0.0015061327,0.022007355,0.007338048,0.01832815,0.015504257,0.006136536,0.022102391,0.0030479033,0.025333576,0.021355689,0.0011090228,-0.02055468,0.013101233,-0.024179582,0.013888665,0.04569819,-0.026229618,0.00069579086,0.012537812,-0.0048535657,-0.0055731153,-0.02580875,-0.002338536,-0.019251347,0.01610162,0.0072294367,-0.015205576,-0.064460784,-0.020649716,-0.00090961927,0.020717598,-0.014743978,-0.019034123,-0.011553522,-0.012917952,-0.00077470375,-0.027234273,-0.018993394,0.014146616,-0.022238156,-0.0057869437,0.01568075,0.034484074,0.018192386,-0.014906895,0.016359571,0.0052404935,-0.016576793,0.0029885066,-0.018382456,0.0113838175,-0.02074475,-0.012714305,0.0045582787,0.005362681,-0.021138467,-0.020133812,0.001085264,-0.03242046,0.014798284,0.020731173,-0.007874317,0.012218767,0.011994756,-0.008023657,0.0021874986,0.003964311,-0.025116352,0.002769587,0.006268906,-0.019061277,0.0034433163,0.0015544986,0.015640022,0.008811088,-0.012198402,0.01220519,0.013834359,0.0366563,-0.021776557,-0.004867142,0.02422031,-0.019292075,0.011716439,0.027940245,0.014608214,-0.00076112733,-0.018789748,-0.029216427,-0.007928622,0.0013864907,0.027125662,-0.02962372,0.01779867,-0.011818263,-0.030112471,-0.014961201,-0.010542081,-0.0318231,0.018491067,-0.010019389,0.0032515496,-0.011757169,0.001584197,-0.003129362,0.018762596,-0.030302541,-0.021627218,0.0002893472,-0.038041092,0.007704611,-0.02055468,0.010820396,-0.031117124,-0.0015969248,0.0019074852,0.00546111,0.03654769,-0.0033499785,-0.01754072,0.0060890187,-0.001618138,-0.021287806,-0.03242046,-0.01832815,-0.0055731153,0.019142734,0.016522488,0.028238926,0.015449951,0.01802947,0.014608214,0.018450338,-0.014553908,-0.00041959583,0.00048408375,0.0035298658,0.007046155,0.02788594,0.0014102493,-0.022971282,-0.021790134,0.0064453995,0.010772879,0.02199378,-0.035162896,-0.008838241,-0.033425115,0.0012464839,0.0010063512,-0.022007355,0.01847749,-0.023826595,-0.0063571525,0.04504652,0.0061263535,0.024532568,-0.0050402414,0.019699367,-0.010385952,0.025387881,-0.0033788283,-0.019509297,-0.040457696,-0.015436375,-0.008797512,-0.023432879,0.009557791,0.022048086,0.013542466,0.0047245896,-0.029297886,-0.006309635,0.0229034,-0.004996118,-0.0024352681,-0.00085319235,-0.017866552,-0.0065879514,-0.0047755013,-0.0250892,-0.0064929165,0.021532182,-0.026338229,-0.014513179,0.020242423,-0.026582604,-0.023188503,-0.0048603537,0.0004883264,0.008756783,-0.010392739,0.027193543,-0.018708289,0.009218381,-0.0238809,0.025415035,-0.028347539,-0.014065158,0.031714488,0.01008727,-0.017228462,-0.042982906,0.016739711,0.014105887,0.02943365,-0.023527915,0.015001929,0.022278884,0.0023504156,-0.006408064,-0.011838627,-0.016305266,-0.018110927,0.008695689,0.003232882,0.0059838016,-0.010501351,-0.018491067,0.01735065,-0.052187707,0.040159013,-0.0052167345,-0.012252707,-0.009646038,6.6715314e-05,-0.0148933185,-0.00056426943,-0.011825051,0.017038392,0.038638454,-0.004677072,-0.0015434677,0.009462756,-0.011580676,-0.010460622,0.012843281,0.020201694,-0.003903217,-0.024166005,-0.0053117694,0.014866166,0.015612868,0.012714305,-0.0028340751,0.02225173,-0.016712558,-0.028103163,0.011560311,0.004239233,-0.03605894,-0.013780053,0.002162043,-0.022170274,0.0033941017,-0.005600268,0.0125446,0.03356088,-0.014241651,0.009551003,0.00479926,-0.009007947,0.007399142,-0.010189094,-0.023595795,0.014295957,-0.017635753,0.0050402414,-0.0052914047,0.0053558927,-0.04214117,0.001219331,-0.031280044,-0.009272686,0.019006971,-0.017975163,-0.018396033,7.127614e-05,-0.0019159705,0.01625096,0.0026185496,0.00612296,0.005705485,0.0036588416,0.009903989,-0.011967603,0.0010411408,0.040186167,-0.03079129,0.00834949,0.017309919,-0.020731173,0.021600064,-0.017852975,0.02614816,0.028103163,0.0071140374,-0.023758713,-0.012829705,0.032963518,-0.010698209,-0.0034585898,-0.0190477,0.008865394,-0.011560311,-0.0014713431,-0.0029070482,-0.0019889437,0.015205576,0.025510069,0.019278498,0.0031904557,-0.025863055,-0.019740097,-0.016020162,-0.0015298914,0.0051013352,0.015395645,-0.018165233,0.019930165,0.005430563,-0.033099283,-0.013053715,0.020513952,-0.025442187,0.0064759464,0.010548868,0.028999206,-0.0065777693,0.01005333,-0.0013983699,0.021355689,-0.008172997,0.02667764,0.030601222,-0.0036282947,0.0007717339,-0.023378573,0.011302359,-0.021396417,-0.03337081,-0.013454219,0.015395645,-0.0081933625,0.016943356,0.023079893,-0.00043783913,-0.006465764,-0.017513566,0.0070529436,-0.004768713,0.0125310235,0.010447046,-0.031035665,-0.007107249,0.009476332,0.0035841714,0.019224193,-0.011682498,-0.0026389142,-0.002360598,0.0040016463,-0.0072294367,0.008356279,0.010704997,-0.007799646,0.0112209,-0.0077657048,-0.00540341,0.0024488445,-0.007304107,0.011438123,-0.012890799,-0.018151658,-0.023297114,0.011682498,0.017703636,-0.008044021,-0.0019142734,-0.010175518,0.01295868,-0.025985243,0.024926284,0.0017216582,-0.022984857,-0.0050198766,0.0046736784,-0.0034518016,-0.015816515,-0.013508525,0.009890413,-0.031687334,-0.0042867507,-0.008858606,-0.03098136,-0.01065748,0.0028866837,0.0034789543,-0.029162122,-0.025007742,-0.025102777,-0.014146616,-0.013854723,0.019672215,0.1717144,0.0023809625,0.0035162894,0.029542262,-0.012137308,0.022414649,0.010874703,0.0089197,0.0037131472,0.009727496,-0.027723024,0.0046940427,0.014866166,0.008077962,-0.024831248,-0.025781598,-0.029569415,-0.009571367,-0.01595228,0.028293232,0.0019074852,0.01972652,-0.025890209,-0.0121169435,0.037009288,0.029026357,-0.025211388,0.018735442,0.021817287,0.030031012,0.0060448954,0.013108021,0.0028781984,0.00612296,0.0010572628,-0.0054814746,0.010786456,-0.011010466,0.016454605,-0.008111903,0.0076299408,-0.0012354531,0.001135327,0.0018735442,0.0022163484,0.020486798,-0.012130519,-0.008519196,-0.018653983,-0.0060550775,-0.047001522,-0.040376235,0.031062819,0.017486412,-0.0021552546,-0.0060788365,0.01107156,0.027614413,-0.012178037,0.019712944,-0.0032210026,0.047924716,-0.004996118,0.022346767,-0.007908258,0.026840556,-0.017662907,0.006336788,0.03239331,-0.008532772,0.00714119,0.0023198687,0.019645061,0.008777147,-0.027682293,-0.023174927,0.026351806,0.04387895,0.011302359,0.026922015,-0.012775399,0.0011285389,-0.017907282,0.026596181,-0.025754444,-0.016020162,0.003302461,0.009999024,-0.03548873,-0.008274821,0.005495051,-0.005243887,-0.022482531,-0.014268803,-0.0136171365,0.005002906,-0.0038658818,0.011329512,-0.0064453995,-0.028483301,-0.0229034,0.069511205,-0.010046542,-0.003706359,-0.022916976,-0.009917566,-0.0043071155,0.034945674,0.004731378,-0.003842123,-0.021342112,-0.025116352,-0.007371989,-0.008688901,0.003838729,0.011784322,-0.00572585,-0.018151658,0.012103367,-0.011594252,0.0035570187,-0.041842487,0.01220519,-0.0014221286,-0.033723798,0.011512794,-0.02082621,-0.0030869355,-0.0017785094,-0.03141581,0.016468182,-0.027302155,-0.019563602,-0.0057937317,-0.011309147,0.008322338,-0.005192976,-0.0062146005,-0.00025370912,0.0025387881,-0.0086549595,-0.01847749,0.017486412,-0.004836595,0.0082883965,-0.009028311,0.0060211364,0.0086549595,-0.0031480293,-0.019998048,0.0012812734,-0.013135174,0.0035943538,-0.010331646,0.013813994,-0.0073652007,-0.020541104,-0.029569415,0.034103937,0.004690649,-0.019482145,0.008702477,0.03190456,-0.020038778,-0.0052065523,0.009965083,-0.17290913,0.02006593,0.024722638,-0.028999206,0.01610162,-0.007684246,0.009700343,0.018314574,-0.015164847,0.0054373513,0.015124117,0.009007947,-0.0289449,-0.0020788875,0.012917952,-0.021165619,-0.008851818,0.031986017,-0.017595025,0.018083775,0.025971666,0.004690649,0.020486798,-0.00812548,0.019264922,0.023324268,0.0042324453,0.036113244,-0.0018277238,-0.000466689,0.00213489,0.0052574635,0.03657484,-0.011370241,-0.01855895,-0.0077249757,-0.02826608,-0.01352889,-0.019780826,0.01621023,0.009265898,-0.00011932389,0.0034721661,0.0146217905,0.02282194,0.0088043,0.013685019,-0.032610532,0.014594638,-0.024994165,0.019658638,0.02195305,0.0057190615,0.023269963,-0.01092222,0.027641565,0.008627807,0.017948011,-0.011309147,0.010752515,-0.015775787,-0.023066316,0.017432107,-0.014974777,-0.029895248,-0.023025587,-0.042222627,0.0076163644,-0.005630815,0.0037979998,-0.0077521284,-0.004660102,-0.02142357,-0.029270733,0.006258724,-0.0062112063,-0.034484074,0.002599882,0.0022384103,-0.0061874473,0.010569233,0.011241266,-0.01972652,0.0074466593,-0.013685019,-0.001684323,-0.016522488,0.032854907,0.0052846167,-0.0041781394,0.03480991,-0.0057869437,0.005064,-0.00793541,0.022224579,0.025007742,-0.004395362,0.010094059,0.010528504,-0.0022825336,0.001101386,0.008458102,-0.030248234,0.010800032,0.008023657,0.0061297477,-0.007100461,0.024315346,0.023717983,-0.019590756,-0.0069918497,0.011580676,0.0267591,0.0058853724,0.0029155335,0.039887484,0.007378777,-0.0018497854,0.016549641,0.010800032,0.007853952,0.019183464,0.0046091904,-0.014703249,0.0033431903,-0.0021043431,-0.10290916,0.027342884,0.020608986,-0.015802938,-0.03366949,0.0028238927,0.02010666,0.0013220026,-0.033316504,0.012266284,-0.006428429,-0.04493791,0.0063198176,0.0025489705,0.022672601,-0.013094445,-0.018165233,-0.0027152814,0.0009274383,0.018355303,-0.00011783897,-0.02724785,-0.0067848093,0.0035128954,-0.010290917,0.036384773,-0.015830092,0.0018175415,0.0021756194,0.019699367,-0.015029083,-0.041923948,0.01669898,-0.019604333,-0.013175903,0.0032311848,-0.0164003,-0.017038392,-0.009116557,-0.0101076355,-0.0086549595,-0.0064555816,0.03375095,-0.025632257,0.002873107,-0.018871207,-0.007636729,0.008573501,0.034103937,-0.0216951,-0.023310691,-0.00914371,-0.010114424,-0.00647934,0.0033924046,-0.0009859867,0.011051196,0.008417373,-0.016658252,0.018545372,0.031470113,0.0026406113,-0.021409994,0.01874902,0.010501351,0.024315346,-0.018192386,-0.0040966813,0.013847935,-0.021328537,-0.01080682,0.0121644605,-0.029922402,0.00069918495,-0.014771131,-0.019115582,-0.017880129,-0.009401662,0.020704022,-0.018762596,-0.011281994,-0.031117124,0.009082616,-0.009876836,-0.01572148,-0.0017462653,0.017730787,0.008010081,0.0029257159,-0.023107044,0.038448386,0.015775787,0.036819216,-0.0018311179,-0.014105887,0.015748633,-0.004551491,0.0027780724,0.005746214,0.010677844,-0.032474767,0.022536837,-0.048250552,0.022957705,0.0066863806,-0.0056070564,-0.0018480885,-0.0046227667,-0.0016571702,-0.004296933,-0.0005349953,0.017051969,-0.027831635,0.014214498,-0.011078348,0.017825823,0.008492043,-0.015219152,0.034619838,0.009652826,0.036629148,0.023622949,0.0023860536,0.006971485,0.03383241,0.01855895,-0.010976525,0.024885554,-0.01572148,0.02233319,-0.011852204,0.00032837936,0.023758713,-0.013712171,-0.03934443,0.016821168,-0.022129543,-0.029542262,-0.018721865,0.017472837,0.018884784,0.01644103,-0.009700343,-0.019006971,0.0058174906,-0.031307198,-0.008145845,0.0014823739,0.0038523055,-0.0010776273,0.010603175,-0.0004700831,0.023717983,0.026202466,-0.014024428,-0.010942584,0.010589598,-0.0123884715,0.03858415,0.015368492,-0.0038828524,-0.010800032,0.014771131,0.011057984,0.022007355,-0.009055464,0.009999024,-0.019034123,0.022781212,-0.009401662,0.0088314535,-0.038719915,-0.03627616,-0.011492428,-0.005400016,0.01828742,0.0152598815,-0.021084161,-0.0017174155,0.0053728633,0.0049452065,0.042114016,0.016020162,0.004123834,-0.021029854,0.026650487,0.008505619,0.005165823,-0.011981179,0.006268906,-0.015137694,-0.0047585308,-0.032339003,0.017282767,-0.00074415683,-0.015667174,-0.014038005,0.0129790455,-0.018246692,-0.0032753083,0.013494949,0.013542466,0.022278884,0.0008582835,-0.014404568,-0.017866552,-0.021966627,0.012076214,-0.008410584,-0.00786074,-0.021667946,-0.00918444,-0.023704408,0.01164177,0.016427454,0.008851818,-0.016020162,0.011811474,-0.0017903887,-0.011594252,-0.016617524,-0.003197244,0.020052353,0.031497266,-0.011010466,-0.010759302,0.0074941767,0.005471292,-0.0037097533,-0.024274616,0.014119463,-0.015667174,-0.015965855,0.012089791,-0.012408836,-0.03098136,-0.034456924,-0.013291302,0.02479052,-0.0027390402,-0.015789362,0.07184635,0.010514927,0.003266823,0.010603175,0.020283153,0.011533158,0.013019774,0.008546349,-0.012293437,-0.0046091904,0.018694714,0.0075756353,0.015735056,-0.03975172,-0.003954129,0.010501351,-0.011302359,0.0074534477,-0.01258533,0.009571367,0.011960815,-0.007908258,0.026718369,0.009815742,-0.018694714,-0.00687645,0.0047585308,-0.026256772,-0.00038395775,-0.03570595,-0.002499756,0.0089740055,-0.012184826,-0.0042426274,0.019970896,-0.021382842,-0.014499603,0.02199378,0.039317276,0.023066316,-0.013970123,-0.0017369316,-0.006394488,-0.014540332,-0.0005757245,-0.009632461,-0.0034959249,-0.021586487,0.001564681]','provide a list of organizations providing food security for a region in a country','{"mem_type": "recipe", "custom_id": "07d104d2-882b-4cd4-9dde-37a0d3d19664"}','07d104d2-882b-4cd4-9dde-37a0d3d19664','8e633804-9b4e-4bfb-8779-842e88fe1095'), + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[0.0028554949,-0.027564483,-0.022886107,-0.0056091333,-0.0041199205,0.016058208,-0.031217268,-0.0063677887,-0.010670349,-0.008766686,0.02146714,0.0100662345,0.013269446,-0.0046818876,-0.009792275,0.010543906,0.0042569,-0.009265431,-0.0033261422,-0.006455596,-0.0014417967,0.0032207735,0.015875569,0.0004017186,0.017800305,0.0026254395,-0.009602611,-0.004007527,-0.011829406,-0.0112744635,0.026356254,-0.019500256,-0.001314476,-0.022085303,-0.005222781,-0.013185151,0.008829907,-0.0148499785,0.028252892,-0.018446567,0.005907678,-0.012869044,0.015201208,0.027817367,-0.024824893,0.006199199,-0.0071299565,0.00069367804,-0.01635324,0.03675264,0.009082792,0.0017596593,-0.019696943,-0.010375316,0.0007994859,0.012250881,-0.0024305074,0.013740093,-0.019626698,-0.024824893,-0.003082038,0.00817662,-0.045744114,-0.0023005526,0.0025973413,0.0014751634,-0.0040250886,-0.004815355,0.0187416,0.012503766,0.041023593,0.023068747,-0.0026377328,-0.025485205,0.03293127,0.0016885353,0.0021424992,0.011885602,0.012012045,-0.011913701,0.015425995,-0.035797298,-0.010185652,-0.021368796,0.018277977,-0.01082489,0.0005066484,0.026974417,0.0058866045,-0.00044145144,0.034364283,0.034027103,0.001242474,-0.007277473,-0.0002726418,0.019851485,0.0042849984,0.021256402,0.010487709,-0.041107886,-0.027311597,0.018263929,-0.01056498,0.005486203,-0.025119925,-0.03082389,-0.00015388237,0.016592076,0.014962371,-0.022380337,-0.050015066,0.015341699,-0.0074249892,-0.03385851,-0.01355043,-0.023377828,0.041810345,-0.027606629,-0.008808833,-0.015678879,0.013178127,0.032509793,0.015215257,-0.010881087,0.010361267,-0.0034332674,-0.022548927,-0.026974417,-0.001338184,-0.0001411503,-0.012714503,0.018488714,0.018292027,-0.016957354,-0.032650284,0.032622185,-0.012890118,0.010867037,-0.021790272,-0.026033122,0.0050015063,0.0340833,-0.0013311594,0.00030644765,-0.02010437,0.0012767188,-0.019120928,0.021228304,-0.0148780765,-0.0025183146,0.01499047,-0.020694435,0.005131461,-0.0028238844,-0.010684398,0.014119421,-0.0015541901,0.0015427751,-0.022886107,-0.022267943,0.0012099852,-0.036246873,-0.012974413,-0.007614653,0.006912194,0.03989966,-0.0027097347,-3.5946134e-05,-0.013304569,0.01855896,0.018292027,0.022745615,0.00434822,0.010291021,0.008829907,0.0089282505,-0.007979931,0.030599104,-0.012995487,-0.01499047,-0.025119925,0.018095339,0.00825389,0.015805323,-0.024993483,-0.029615661,0.007228301,0.000800803,-0.0010835427,0.0027062225,0.03166684,0.009040644,-0.0023743107,0.0076427516,-0.6100714,-0.010867037,-0.0025183146,-0.003275214,0.013100856,0.033942807,0.01414752,0.0022338189,-0.037286513,0.012117414,-0.0013294033,0.008612145,-0.02828099,-0.033830415,0.023363778,-0.026159564,-0.009806325,-0.020230813,0.021677878,0.008352235,-0.028421482,0.022113401,0.0124756675,-0.023911696,0.01157652,0.0033735582,-0.002186403,-0.038045168,0.022591075,-0.005739088,0.005760162,0.009848472,0.00041993865,0.023588566,0.038129464,0.0011212998,-0.015004519,0.013367791,0.038916215,0.030992482,-0.03259409,-0.035207234,0.026637236,-0.0010598346,-0.008331161,0.03526343,0.02930658,0.0009693931,-0.009405923,-0.052291032,0.009167087,-0.011190169,-0.038269956,-0.009700956,0.03290317,-0.0056442562,0.012363275,-0.052853,-0.0016832668,0.03680884,-0.013585553,0.017926747,-0.025583548,-0.030205727,-0.0011976922,0.009750128,0.0056864037,0.027143007,0.024895139,-0.0010949576,0.0011669596,0.013058709,-0.019008534,-0.02145309,0.012566987,0.019303568,0.005401908,-0.010754644,-0.011731061,0.018516812,-0.0030381342,-0.015903667,0.007263424,-0.016592076,-0.011955848,-0.00032532623,-0.011780233,-0.024164582,-0.00058479694,0.0013127198,0.0221696,0.023434024,0.008246866,-0.009138988,0.004983945,0.017139994,-0.012988463,-0.0026465135,0.014568995,-0.029362777,-0.004039138,0.0016630711,-0.011049677,-0.019556452,0.026623188,0.029250383,-0.031273466,0.010789767,0.012588061,-0.01532765,0.00061421236,0.010283996,-0.012531864,-0.003680884,0.0028010544,-0.026187662,0.013613651,0.0060973424,0.014028101,-0.006069244,0.0034947323,-0.0040602116,0.029671859,-0.011695938,0.028168596,0.024937287,0.02570999,-0.019837435,-0.016732568,0.003333167,-0.0015717515,-0.0032576525,0.031779233,-0.031975925,0.0053702975,0.013262422,-0.003001255,-0.016437536,0.0031821383,-0.010150529,0.0033191177,-0.011976922,0.014021077,-0.034364283,-0.01286202,-0.024810843,0.011190169,0.00911089,-0.031357758,-0.0054194694,-0.011892627,-0.004183142,-0.018994486,0.034701463,0.036836937,-0.009743103,-0.008612145,-0.029194187,0.0047380845,-0.018853994,0.0170276,0.011183144,-0.024305074,-0.00963071,-0.004913699,0.004839941,0.037033625,0.011140996,7.7380224e-05,-0.025485205,0.029362777,-0.023967894,-0.026847973,0.06445762,0.007698948,0.03647166,-0.03186353,0.0036633224,0.0038775725,0.01149925,0.020315107,0.0061711003,-0.036921233,-0.012412447,-0.005904166,-0.012911192,-0.015973913,0.035825398,-0.0044922237,0.030739596,-0.007361768,-0.011941799,0.020132469,0.0074249892,-0.002402409,-0.005904166,0.015088814,-0.0017508785,-0.004018064,0.01855896,0.030767694,-0.028379334,0.025513303,-0.0054089325,0.025119925,-0.00927948,-0.006132465,-0.026693434,0.026356254,0.022253893,0.016774716,-0.032818872,0.023574516,0.023405926,-0.004980433,0.031104874,-0.009553439,-0.011892627,-0.004383343,-0.0100662345,0.018137485,-0.01021375,0.016395388,-0.019050682,-0.0025639746,-0.013009536,0.0023023086,0.015299552,0.027213253,-0.0018018067,-0.0011511543,0.022886107,-0.011246365,0.040096346,0.008710489,-0.023757156,0.007853489,-0.032622185,-0.00082495,0.0062308093,0.02368691,0.032818872,0.026201712,0.0076778745,0.0144847,-0.020006025,0.011780233,0.0100943325,-0.01201907,0.00066645775,-0.0036001012,0.0072493744,-0.0004745987,0.015018568,-0.010691422,-0.007867538,-0.0010062722,-0.0035193185,0.020975418,0.019177124,0.018432518,0.006539891,0.0017175117,-0.018966386,-0.0024111897,-0.008380333,0.017968895,-0.011358758,0.0025569499,-0.04037733,0.0025850483,-0.013838437,0.0038073265,-0.019064732,0.009209234,0.0089633735,-0.009068742,0.017617665,-0.023827402,-0.010831914,-0.0027308085,-0.010909185,0.024768697,0.0061465143,-0.019753141,-0.0055143014,-0.03048671,0.038269956,-0.028772712,-0.0013689165,-0.008071251,0.004126945,0.009504267,-0.0053738095,0.0071650795,0.00010915551,0.022970403,-0.038691428,0.006466133,0.007193178,-0.012440545,-0.015496241,0.011379832,0.0017175117,0.042007033,-0.0053492235,0.014077274,-0.0030170605,-0.019205222,-0.0255414,0.00647667,-0.0027185155,0.027522335,-0.016297044,0.003944306,-0.015074765,-0.01005921,-0.012552938,0.035825398,-0.012707479,0.0061465143,-0.047120932,-0.023209238,0.017154044,0.09182541,-0.0031593083,-0.0049663833,0.009075767,0.021691928,-0.005250879,-0.021087812,-0.03779228,-0.0006071878,-0.033212252,0.00037625447,-0.021579534,0.015791273,-0.0033384352,0.03270648,-0.0014900906,-0.037089825,-0.013065733,-0.00032247248,0.010705472,0.0008793906,-0.012651282,0.019177124,0.026356254,0.019191174,0.0204275,0.019163076,0.056730572,0.00091144023,-0.017111896,0.010944308,0.01209634,0.0013820876,0.007649776,0.019064732,0.013157053,0.014007028,0.0020529358,0.025527352,0.00023268946,0.024810843,0.028660318,0.0062448583,-0.010319119,0.025527352,-0.0056266948,-0.0018246367,0.032256905,-0.024515811,-0.004580031,0.031076776,-0.005854994,-0.009167087,-0.016746618,-0.008057202,-0.018783748,0.010171603,0.01996388,-0.01064225,-0.04563172,-0.020062223,-0.0018246367,0.02093327,-0.025667844,-0.02011842,-0.0018527351,-0.008218768,-2.0250569e-05,-0.019696943,-0.021748124,-0.004267437,-0.006525842,-0.0048329164,0.027803319,0.02519017,0.0014619923,0.0019229809,0.00963071,0.008738587,-0.023560466,0.005293027,-0.019205222,-0.0043095844,0.0014391624,-0.008169595,0.0068524852,0.016788764,-0.013311594,-0.02606122,0.0047521335,-0.01267938,0.010670349,0.027002515,-0.018643256,0.0041058715,0.012215758,0.00852785,0.004664326,0.0011046164,-0.008394382,0.006701457,0.018853994,-0.025119925,0.016268944,0.004218265,0.009616661,0.0089282505,-0.0059568505,0.010438537,0.020329157,0.028885104,-0.017238338,-0.0027448577,0.01958455,-0.022043156,0.019120928,0.00587958,-0.00036132723,-0.005812846,-0.024586057,-0.017168092,-0.010410439,0.017940797,0.015229306,-0.015243355,0.00021337185,-0.02010437,-0.03661215,-0.02794381,-0.0014084298,-0.021930763,0.039056707,0.014934273,0.0036492734,-0.009426997,-0.007158055,0.012552938,0.02641245,-0.030065235,-0.0170557,-0.0065434035,-0.031751137,0.008071251,-0.026342204,-0.010803816,-0.024276976,-0.011583545,-0.0032787262,0.012630208,0.029699957,-0.016325142,-0.019654796,0.0056266948,-0.001947567,-0.018263929,-0.03610638,-0.02316709,0.011899652,0.034139495,0.03832615,0.017772207,0.002808079,0.010255898,0.0040602116,0.018081289,-0.032172613,-0.024305074,7.990468e-05,-0.01773006,0.015580536,0.026833925,0.0042569,-0.00600251,-0.028828908,0.018362273,0.022422483,0.008584046,-0.029334677,0.0005185024,-0.023434024,0.0014356502,-0.004098847,-0.0016095086,-0.0027992981,-0.006178125,0.0041409945,0.03293127,-0.0040496746,0.01653588,-0.008134472,0.021045664,-0.011070751,0.030233825,-0.017449075,-0.015369798,-0.036022086,-0.023124943,-0.011295537,-0.021214254,0.010881087,0.015102863,-0.015355749,0.018544912,-0.023195188,-0.013143004,0.02572404,0.0039162077,0.008619169,-0.007790268,-0.034645267,-0.01149925,-0.0007274839,-0.03259409,-0.01056498,0.025344713,-0.012756651,-0.032987464,0.025864532,-0.01721024,-0.03770799,-0.008373309,-0.008190669,0.018657304,-0.013297545,0.043721035,-0.010845964,0.02844958,-0.016325142,0.035347726,-0.019753141,0.0010475416,0.025780236,0.023827402,-0.024262926,-0.041950837,0.012503766,0.04565982,0.035347726,-0.023813352,0.015145011,0.0076778745,-0.009820374,-0.010073259,0.008169595,-0.018952338,-0.022085303,-0.008029104,0.021705976,-0.0036176627,-0.0076708496,-0.00038898655,-0.002690417,-0.073730074,0.03562871,-0.0045378837,-0.008703464,0.009426997,-0.025443057,-0.024852991,0.022562975,-0.021944812,0.015580536,0.056842964,0.001003638,0.009546415,0.0036036135,-0.016774716,-0.0036352242,0.013374815,0.022661319,-0.00035342458,-0.018249879,-0.0050647277,0.012286004,0.0056477687,-0.0036879086,0.0030750132,0.014611143,-0.017814355,-0.028168596,0.004650277,-0.015468142,-0.03593779,-0.032116417,-0.00014389429,-0.031245366,0.021031616,-0.009848472,0.014512798,0.016901158,-0.0100662345,0.011000505,0.0052895145,-0.007930759,0.0063326657,-0.008766686,-0.008492727,0.025091827,-0.0089423,0.008141497,0.012026094,0.0028221281,-0.029671859,0.0047767195,-0.00031852114,-0.008850981,0.0019510792,-0.019008534,-0.023771204,0.0027817367,5.6114382e-05,0.029671859,-0.021691928,0.0127707,-0.0029696445,0.004032113,0.019317616,-0.013711995,-0.011457102,0.027550433,-0.024150532,-0.0040812856,0.0306553,-0.022380337,0.030177629,-0.01551029,0.01857301,0.027648777,0.014906175,-0.026314106,-0.0052543916,0.010782742,-0.023476172,-0.016128452,-0.01994983,0.013536381,-0.012700454,-0.001494481,-0.0020423988,-0.011934775,0.015538388,0.009483193,-0.0018702964,-0.0038529863,-0.01670447,-0.017097846,-0.020132469,0.0089001525,-0.004207728,0.0057355757,-0.02930658,0.030627202,0.0023707983,-0.026524844,-0.016901158,0.009405923,-0.028885104,0.0170276,-0.0012029606,0.03259409,-0.0042147525,-0.0009044157,-0.0030556957,0.027719023,0.007038637,0.027522335,0.020567993,-0.0065574525,-0.0047626705,-0.024768697,0.015145011,-0.027634729,-0.04054592,-0.01944406,0.027719023,-0.011492225,0.030261924,0.01652183,-0.02249273,-0.00918816,-0.0044781747,-0.003814351,-0.013367791,0.011611643,0.0063045677,-0.029362777,0.0032084805,0.00757953,0.015102863,0.012946315,-0.0067225304,-0.0073406943,-0.006251883,0.010557955,-0.012756651,-0.0004675741,-0.004074261,0.004889113,0.012981438,-0.0068208748,-0.018446567,0.016437536,-0.00998194,0.0062940307,-0.007846464,-0.0047029615,-0.022380337,-0.0089071775,0.0195986,-0.0069262437,-0.016816864,-0.015369798,0.009567489,-0.02298445,0.03189163,-0.021396894,0.0032787262,0.0056653298,0.019177124,-0.024656303,-0.0023830915,-0.0074460628,0.024572007,-0.028772712,-0.0013654042,-0.0032348225,-0.020624189,-0.007038637,-0.0022865033,0.00523683,-0.030065235,-0.012777725,-0.0009983695,-0.012201709,-0.014583044,0.030964382,0.20567992,0.0054897154,-0.0016981941,0.016620174,-0.017716011,0.012840946,0.012531864,0.0113306595,0.010930259,0.01295334,-0.01566483,0.01175916,-0.006898145,0.0069402927,-0.0195986,-0.018362273,-0.022478681,-0.020539895,-0.03304366,0.010852988,-0.0004469394,0.016549928,-0.011169095,-0.024417467,0.03529153,0.032116417,-0.011562471,0.013269446,0.024080286,0.032256905,0.0040602116,0.0030258412,-0.010572004,0.0043166094,0.0018316612,0.0021846467,0.015973913,-0.0018562473,0.020820878,-0.011822381,-0.007867538,0.0037476176,-0.010410439,0.0019335177,-0.0028273966,0.0187416,-0.0037370806,-0.02044155,-0.0031470153,0.0060868054,-0.035713002,-0.0391972,0.03902861,0.011414955,-0.0059919734,-0.0053035636,0.011955848,0.022015058,-0.016718518,0.021565484,-0.013620676,0.03593779,-0.006058707,0.01652183,-0.028014056,0.019879583,-0.035179134,-0.0075865546,0.012166586,-0.028028104,0.010684398,-0.00024542154,-0.0021354747,0.02148119,-0.023462122,-0.02198696,0.02520422,0.0124756675,0.0017473662,0.04107979,-0.006943805,0.0014681389,-0.011850479,0.0113025615,-0.007867538,-0.025836434,-0.0075514317,0.012960364,-0.030795792,-0.012847971,0.018348223,-0.0003297166,-0.029166088,-0.014358257,0.0020827902,0.002474411,0.013466135,0.007474161,0.008485702,-0.025639744,-0.010283996,0.054145522,-0.0054651294,-0.0054545924,-0.04054592,-0.0006673358,0.0124194715,0.04040543,0.005482691,-0.020048173,-0.008485702,-0.028042154,-0.013494233,-0.014611143,0.013592578,0.0018861018,-0.02350427,-0.009237333,0.006943805,-0.0074179647,0.012763676,-0.04838536,0.014765684,-0.015173109,-0.035319626,0.0036422487,-0.028084302,-0.023448074,0.016999502,-0.040433526,0.018446567,-0.014105372,-0.017800305,-0.015341699,0.0010738838,0.0046116416,-0.009146013,0.005753137,0.0033718022,0.0032804825,-0.0070702475,-0.011393881,0.015931765,-0.0015524339,-0.0025762676,-0.014906175,0.0034982446,-0.015482191,-0.012222783,-0.011885602,-0.014470651,0.005904166,0.019458108,-0.023462122,0.024220778,-0.024347221,-0.018713502,-0.008078276,0.027494237,-0.0003180821,-0.019668845,0.014554946,0.038438544,-0.0025042654,-0.001003638,0.011913701,-0.1805038,0.019823387,0.01321325,-0.016915208,0.014906175,-0.017954847,0.033914708,0.021846468,-0.02674963,0.0014663826,0.0033647774,0.012918217,-0.018783748,0.015706979,-0.010087308,0.010052185,0.0054089325,0.026623188,-0.019696943,0.009455095,0.0019809338,-0.0021214255,0.00944807,-0.00920221,0.016212748,0.0062167603,-0.001051054,0.018685404,0.0012881338,0.001172228,-0.002054692,0.015215257,0.03489815,-0.01739288,-0.030739596,-0.024867041,-0.04144507,-0.038803823,-0.012391373,0.009869546,0.0033858512,0.0064029116,0.003155796,0.0148218805,0.008401407,0.01140793,0.024150532,-0.025976926,0.008612145,-0.033493236,0.004506273,0.016732568,0.0016779983,0.0059217275,-0.00834521,0.020188665,0.0022935278,0.017182142,-0.013894634,-0.0012565231,-0.015285503,-0.015805323,0.015692929,-0.018797796,-0.027817367,-0.0110848,-0.0426252,0.01218766,2.8708887e-06,0.026314106,-0.021396894,0.00067260425,-0.019387862,-0.017013552,-0.0089633735,-0.0038424495,-0.030430514,0.0036773717,0.015145011,-0.007867538,-0.003456097,0.011176119,-0.028505776,0.0077059725,-0.01431611,0.00037713256,0.0018738088,0.017111896,-0.0015041399,-0.0089493245,0.03737081,0.012440545,0.021776222,-0.014948322,0.015482191,0.03492625,-0.0016718518,0.010150529,0.019303568,0.0053632725,0.009181136,-0.00054045423,-0.013114905,0.017912699,-0.004323634,0.007063223,-0.023700958,0.02589263,0.035432022,-0.024431515,0.0012012045,0.012763676,0.011372807,0.0047486215,-0.011990971,0.028941302,0.008682391,-0.0136768725,0.02298445,0.0019563476,0.014751635,0.022970403,-0.0066382354,-0.028828908,0.0007986078,-0.013072758,-0.08806023,0.027044663,-0.00083943823,-0.008668342,0.00068401924,-0.0048223794,0.019345714,0.015482191,-0.029334677,0.0088720545,0.0101013575,-0.052853,-0.0012266686,0.023405926,0.028772712,0.00944807,-0.022127451,-0.0036246872,-0.003252384,0.027915712,0.0015989718,-0.0062589077,0.011625692,-0.0074390383,-0.011941799,0.0289694,-0.022253893,0.011695938,-0.0010914453,0.016620174,-0.021523336,-0.035853494,0.022141501,-0.023630712,-0.008647268,0.0009544659,-0.026356254,-0.012890118,-0.0075163087,-0.02693227,-0.0010080283,-0.016058208,0.023138992,-0.035825398,-0.011569496,-0.006311592,0.011815356,0.013044659,0.03352133,-0.03186353,-0.05431411,-0.012117414,-0.007944808,-0.006279981,0.026609138,0.011913701,0.0028765686,0.0113166105,-0.019345714,0.00080036395,0.033830415,-0.011379832,-0.030571006,0.025934778,0.022099353,0.014737585,-0.0106563,0.013395889,0.023068747,-0.011211242,0.022858009,-0.0074530877,-0.03546012,-0.0007064101,-0.016479682,0.0014031614,0.016451584,-0.022239845,0.007172104,-0.02350427,-0.01295334,-0.01583342,0.01924737,-0.0054054204,0.0017956602,-0.001182765,0.017744109,0.009771202,0.019036632,-0.005472154,0.0124475695,-0.004007527,0.021579534,-0.0089282505,-0.025976926,-0.0006958732,-0.011752135,0.0006515305,-0.0048329164,0.006265932,-0.01840442,0.016732568,-0.07277473,0.027367793,-0.007122932,-0.0032313103,-0.004948822,-0.013824388,-0.001206473,-0.008569997,-0.0041550435,0.007902661,-0.017603617,0.02181837,0.004077773,0.016943306,-0.0017947821,0.008584046,0.03273458,0.010164578,0.037764184,0.01704165,0.0010018818,-0.00028361773,0.021228304,0.005166584,-0.005345711,0.012152537,-0.017322633,0.0010852988,-0.003789765,0.0027571507,0.02386955,0.001159935,-0.029109892,0.009230308,-0.005809334,-0.031442054,-0.026552942,0.01924737,0.0074671367,0.017477173,-0.012897143,-0.018629206,0.010557955,-0.014681389,-0.009307579,0.012651282,-0.0066874074,0.016268944,0.027803319,0.009314603,0.00757953,0.02249273,-0.018713502,-0.0052649286,-0.00088773225,0.011920725,0.027620679,0.0053386865,0.009223283,-0.018868042,0.013431012,0.0213126,0.026089318,-0.014189667,0.0009298798,-0.023448074,0.025077779,-0.0067436043,0.026721532,-0.0443111,-0.03902861,-0.013346717,-0.00069016573,0.024220778,0.01839037,-0.0056302072,-0.008246866,0.00030666715,0.009342702,0.033970907,0.023981942,0.00970798,-0.05383644,0.026637236,0.0148218805,0.0043552443,-0.0032365788,-0.009174111,-0.001350477,0.0061359773,-0.029896645,0.026454598,0.0063291537,-0.014498749,-0.021059714,0.016156552,-0.020048173,-2.2500633e-05,0.0037160069,0.01532765,0.009377824,0.0011388613,-0.016915208,0.0014619923,-0.010761668,0.0039618677,-0.0018667842,-0.01431611,-0.0031364784,-0.009363775,-0.008766686,-0.0005487959,0.0068559977,0.016971404,-0.006301055,-0.00016233383,0.015411945,-0.010003013,-0.013304569,-0.0028484704,0.02624386,0.020034123,-0.020062223,-0.010291021,-0.0011845211,0.0013162321,0.011457102,-0.024459613,0.014140495,0.007558456,-0.0058163586,0.011513299,-0.0053141005,-0.026356254,-0.025344713,-9.620393e-05,0.029250383,0.010572004,-0.032256905,0.092106394,0.019542404,-0.0011511543,0.008703464,0.009412947,0.0075373827,0.013613651,-0.006315104,0.0028502264,-0.009581538,0.01994983,0.010726545,0.012363275,-0.033493236,-0.007126444,-0.013227299,-0.015945815,0.021382844,0.006789264,-0.01099348,0.01685901,0.0014365282,0.038241856,0.015931765,-0.01047366,-0.002379579,0.006539891,-0.008190669,-0.020258911,-0.03169494,-0.01635324,0.023307582,-0.016915208,-0.0148499785,0.016844962,-0.04211943,-0.007958858,0.02076468,0.049677886,0.024852991,-0.017406927,0.005591572,-0.0068700467,-0.020820878,0.013922733,-0.02027296,-0.010010038,-0.030402416,-0.008808833]','provide a list of organizations providing food security in Wadi Fira, Chad','{"mem_type": "memory", "custom_id": "570e26ee-3ff7-438f-b2d3-feb826b956b4"}','570e26ee-3ff7-438f-b2d3-feb826b956b4','ed42d07c-7f18-4e44-9a4b-57989c4b7df6'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.014116889,0.0018076504,-0.000564781,-0.0175249,0.0058006435,0.02261232,-0.040839903,0.0073289773,-0.008973255,-0.04336956,-0.008404082,0.0129785435,-0.013751495,-0.0072797895,-0.0229215,-0.0018076504,0.013526636,-0.024523616,0.020265361,-0.006938989,-0.0040298835,0.011769931,0.01878973,-0.0025419537,0.009816473,0.0033078773,0.013885004,-0.033222824,-0.010125654,-0.0068441266,0.02650518,-0.0087413695,-0.0030619386,-0.022654481,0.0055617313,-0.012753685,0.0024488482,-0.013238536,0.0069565554,-0.010392673,-0.013702307,-0.010476995,0.016133588,-0.028135402,-0.0029389693,-0.0042512286,0.018283797,-0.00092402735,-0.006949529,0.027432721,-0.0013869194,0.025746282,-0.03597734,-0.011580206,0.0023768235,0.02457983,-0.008811638,0.0015467796,-0.00031532874,-0.020785347,0.02411606,0.00758897,-0.0149530815,0.007385192,-0.01706113,-0.06149876,-0.007462487,0.0011796282,0.021726942,0.009394865,0.01871946,0.046152182,0.00087483955,-0.01841028,-0.0045393286,0.005677674,-0.015276316,0.009155952,-0.009198113,0.0026824903,0.025746282,-0.00519985,0.0037663777,0.011242919,0.026336536,-0.0018217041,-0.0061168503,0.025535477,-0.009120818,-0.011116436,0.01571198,0.010462942,0.011523992,0.01767949,-0.010329432,0.012992597,0.0057760496,0.027306238,0.012310996,-0.0207994,-0.01683627,0.013976352,-0.042385805,-0.014489311,-0.03173314,-0.007336004,0.025732229,0.00077295065,0.013688253,0.02597114,-0.021178849,0.029540768,0.0031690975,-0.027011111,-0.026322482,-0.013175295,0.019197283,0.0030636953,0.009942956,-0.0037663777,-0.015726034,0.03746703,0.009654856,-0.017384363,0.01130616,0.0074835676,-0.004918777,-0.024354972,-0.017187612,-0.0045639225,-0.00015063754,-0.015135779,0.0031497737,-0.006960069,-0.025338726,0.024636045,-0.015473066,-0.008678128,-0.027025165,-0.027812168,0.017538954,0.02002645,0.0014536743,0.007350058,-0.00023583778,0.007778694,-0.00010013224,0.008621913,0.010322405,-0.0055020032,0.011531019,-0.019731322,-0.022232872,-0.0036820557,-0.022176657,0.0108353635,0.0071111456,0.013533663,0.00878353,-0.0030795056,0.01856487,-0.0033851725,0.0043074433,0.002002645,0.012318023,0.04606786,-0.014229318,-0.023315003,0.0006117729,-0.011467777,-0.005020666,0.020138878,-0.019014588,-0.009022443,0.0028282967,0.018480549,0.010540237,0.045590036,-0.020152932,-0.030412095,0.0041915006,0.005308766,-0.0059552337,0.0007334248,-0.014967135,-0.019197283,0.017482739,-0.008031661,0.006215226,0.02018104,0.023511754,0.008713262,0.021755049,0.009429999,-0.6260057,-0.041373942,0.007968419,-0.040277757,0.02272475,0.001682046,0.0058357776,0.002216963,-0.02438308,0.02635059,-0.011833172,0.007392219,0.0029758601,-0.034600083,-0.010238083,-0.015135779,-0.035499517,-0.0043425774,0.016231963,0.015191994,-0.022710696,0.026687877,-0.0072727627,0.020827508,-0.0136742,-0.0066052144,0.010540237,0.004022857,-0.010273217,0.027741902,-0.049609378,-0.0042090677,0.0047431067,-0.015726034,0.047782402,0.002599925,-0.0105894245,0.009001362,0.012388291,0.011228865,-0.026519233,-0.0007167361,0.027910544,0.018972427,-0.007624104,0.0067316974,0.00805274,-0.007905178,-0.0024172275,-0.015234155,-0.003190178,-0.022064228,0.00069433806,0.005997394,0.011629394,-0.005368494,0.020588595,-0.0229215,0.019295659,0.009429999,0.0009064603,-0.0073570847,-0.013259617,-0.025451155,-0.026448965,0.021881532,0.030159129,0.01037862,0.0005704903,-0.03682056,-0.009282435,0.013069892,0.018072993,-0.018340012,0.025900872,0.015894677,0.03024345,-0.0020764265,-0.019239444,0.02133344,0.018354066,-0.003232339,-0.02581655,0.0025349269,0.012128298,-0.0073570847,-0.034965478,0.0020289954,0.019056747,0.032492034,0.015473066,-0.0008744004,-0.014896867,0.015768195,-0.0022468271,0.03263257,-0.011102382,0.01431364,0.012929356,-0.01602116,-0.010596451,0.0041915006,-0.008179223,-0.0046131103,0.020448059,-0.003339498,-0.02276691,-0.008158143,0.02909105,-0.014032567,0.0030970727,-0.003692596,-0.022668535,-0.018002724,-0.028542958,-0.03398172,0.04522464,0.0053368732,-5.928883e-05,0.0045568957,0.0256198,0.02091183,0.0077224793,-0.0067176437,0.011278053,0.04078369,0.020560488,-0.03327904,-0.029878056,-0.008650021,-0.012746658,0.0051612025,0.027306238,-0.009921876,0.04024965,-0.0034167932,0.024860904,0.01475633,-0.0060500954,-0.0070584444,-0.028866192,-0.009626749,0.0015406312,-0.033419576,-0.025071707,-0.029400231,0.0020904802,0.0013948246,0.00077075476,-0.010491049,-0.033307146,-0.005533624,-0.004711486,0.0036469216,0.03316661,-0.018283797,0.030608846,-0.005164716,-0.002043049,-0.017159505,-0.0016794109,0.0029600498,-0.0103997,-0.012205593,-0.01610548,-0.00015349219,0.017918402,0.018536763,0.022837179,-0.03285743,-0.004117719,-0.018930266,-0.02535278,0.0108353635,0.0031743676,0.030693168,-0.004050964,-0.0049995854,0.011032114,-0.016189802,0.009155952,0.029962378,-0.008333813,0.0033412548,0.032913644,0.004953911,0.015852517,0.0056495667,-0.0032270688,0.018354066,0.007863017,-0.006362789,0.0017022481,0.029344017,-0.02400363,0.019703215,-0.014271479,0.020982098,-0.0058533447,0.02060265,0.033447683,0.013196375,0.013491502,-2.840923e-05,0.009598642,-0.011769931,0.0014378639,-0.0121564055,0.0014238103,-0.014433096,0.045280855,-0.057957243,-0.015669819,0.00997809,-0.013203402,0.008425162,-0.01663952,0.00085683336,-0.033138502,-0.0006174822,0.01537469,-0.02095399,0.015852517,-0.01814326,-0.004989045,-0.0096056685,0.010982926,0.03847889,0.023708506,-0.01825569,0.018621085,0.004346091,0.0027931626,0.0020114286,0.023989577,-0.010146734,-0.005087421,-0.021811264,0.007624104,0.018283797,-0.0037804313,0.0081230085,0.01663952,-0.030721275,0.0169487,-0.012233701,0.033138502,-0.0030812623,-0.018269744,0.0125288265,-0.021839371,0.015922785,-0.002749245,0.009767286,0.018115154,-0.020110771,-0.027376506,0.025015492,0.022106389,0.026125731,0.04232959,0.0071006054,0.0077576134,0.001923593,0.013702307,-0.024326865,0.0049047233,0.014404989,-0.023511754,0.0012112488,-0.012247754,-0.0005551191,-0.010322405,-0.031480175,0.0021853424,0.0074132993,-0.0032428792,-0.0013192863,0.00030500808,0.011580206,-0.026013302,-0.031339638,0.04904723,0.007044391,-0.007996527,-0.011327241,-0.026912736,0.033138502,-0.06183605,-0.0041142055,-0.0019868347,-0.0023803366,0.008966228,-0.0022099363,-0.014271479,0.027432721,0.014257425,-0.010912659,-0.01159426,0.033026073,-0.030018592,0.001350907,-0.0054738964,-0.015388744,0.05289793,0.008242465,-0.005080394,-0.0029512662,-0.016203856,-0.01668168,-0.0014615795,0.014559579,-0.0032657164,0.014784438,0.009401891,-0.008797584,-0.017974617,0.022429623,0.026912736,0.006738724,0.0040474506,-0.035724375,0.0012692201,0.02681436,0.0135547435,0.014784438,0.001684681,0.017089237,0.0050593135,0.004960938,-0.027137594,-0.027994866,0.0069987164,-0.017496793,-0.010455915,-0.0037663777,-0.012823953,0.013786629,0.035527624,-0.0117839845,-0.01883189,-0.027362453,-0.0103997,-0.010638612,-0.00045498685,0.008790557,0.011798038,0.032660678,0.009247301,-0.0046904054,0.03527466,0.018635139,0.0042933896,-0.025268458,0.004859049,0.00069477723,-0.014742277,0.039237786,-0.0071673603,0.047135938,0.03347579,-0.023202574,0.01537469,0.0030970727,0.012711524,0.018087046,0.009500267,-0.0042406884,0.0023662832,-0.011137516,0.0010601721,0.034262795,-0.013934191,-0.0012419912,-0.010231056,-0.012662336,0.012177486,-0.03589302,0.0017250853,-0.006289007,0.003864753,-0.000699169,0.0041317726,-0.037326492,-0.028711602,-0.00024857392,0.0061590113,-0.022668535,-0.03971561,-0.0026789769,-0.020897776,0.0034782777,-0.022837179,0.00011660136,-0.0045568957,-0.007385192,-0.029878056,0.028922407,0.0075257285,0.030299665,0.015852517,-0.022387462,-0.006942502,-0.03398172,-0.025549531,-0.014116889,0.016962754,-0.034487654,-0.0065560266,0.00011264877,-0.02951266,-0.010287271,-0.004722026,0.02438308,-0.021445869,-6.8950714e-05,0.022893393,0.02053238,0.011854253,0.011629394,0.0127747655,-0.0030250477,-0.007778694,-0.012261808,0.007813829,-0.031986106,-0.012648283,-0.01898648,0.040221542,0.0036785423,-0.016274124,0.013463395,0.00445852,-0.007863017,-0.010505103,-0.0066825096,0.008966228,0.0050066123,0.011278053,-0.016231963,0.00208521,0.015290369,-0.0030320745,-0.032351498,-0.01221262,-0.009542427,0.0041493396,0.015782248,-0.015585495,0.02920348,-0.00012472614,-0.01852271,-0.021656673,-0.009774312,-0.014503364,0.011868306,-0.01502335,-0.00095828314,-0.020419952,0.0020711564,-0.019506464,-0.0014246886,-0.024256596,-0.02920348,0.0048976964,-0.020279415,-0.017018968,-0.014355801,0.0010259163,-0.01856487,-0.012268835,0.013196375,-0.007771667,0.005635513,-0.00400529,0.009085684,-0.0019798079,-0.007047904,-0.011973708,-0.019871859,-0.0063838693,0.0041915006,0.025746282,0.0032288255,0.03982804,0.0213756,0.0005476531,0.028528905,0.0041317726,0.003436117,0.014812545,-0.021769103,-0.012852061,-0.01794651,-0.00071146595,-0.013568797,-0.018888105,-0.013856897,0.0019007559,-0.0018568382,0.0010118627,-0.006710617,0.009219194,0.0013992164,-0.01878973,0.0017944751,-0.005814697,0.023216628,-0.06768237,-0.0045463555,0.049300198,0.00057707797,0.020701025,-0.01626007,0.015880624,-0.017721651,-0.0016653573,0.02920348,0.0047431067,-0.00059728004,0.0048906696,-0.02535278,0.00968999,0.03516223,0.024593884,-0.012781792,0.00862894,0.0018744053,0.016864378,0.008720289,0.030383987,-0.0038998872,-0.012318023,-0.014812545,-0.00849543,-0.0026701933,-0.010034305,-0.01188236,0.028402422,-0.01852271,0.0064681913,0.034993585,-0.024678206,-0.016414661,0.01798867,-0.0001665577,0.018157315,0.014629847,0.021755049,-0.011664528,6.422956e-05,-0.019295659,0.002139668,-0.028219724,-0.022935554,0.03482494,0.020265361,-0.0025419537,-0.015290369,0.020012395,0.01975943,-0.009078657,-0.033756863,0.020785347,0.001834001,0.010132681,-0.017300041,0.0004053599,-0.019014588,0.019885913,4.059638e-05,-0.019717269,0.013140161,0.0069354754,0.0002731678,0.04117719,-0.012177486,0.014243372,-0.006289007,-0.015093618,-0.011833172,0.0056495667,-0.048991017,-0.0037628643,-0.009394865,0.026491126,0.0062644132,-0.005393088,-0.0006108945,0.018452441,-0.0071006054,-0.01582441,-0.001612656,0.02453767,-0.0250436,-0.033307146,0.009964037,0.022022067,0.0033781456,0.0026034385,-0.0057338886,0.010765095,-0.030440202,0.0039139413,0.011390482,-0.007841936,-0.009704044,-0.015220101,0.004050964,-0.0121564055,-0.005277145,-0.007863017,0.0024910092,-0.010736988,-0.035106014,0.018129207,-0.0032217987,0.027025165,0.020279415,-0.004852022,0.00092402735,0.03856321,-0.020743186,0.0044444664,0.011179677,0.00095652643,-0.038535103,0.006710617,-0.015135779,-0.0142152645,0.041120976,-0.018859997,-0.034459546,0.007114659,0.00039503924,0.019394035,-0.010701854,-0.015234155,0.001858595,0.00060123263,-0.005435249,-0.0039842096,-0.013702307,0.053769257,-0.012318023,0.0052209306,0.020363737,-0.029878056,0.038001068,-0.020897776,0.010603478,0.019745376,-0.042301483,-0.0012648284,-0.0031550438,0.014686062,-0.01794651,-0.006619268,0.0075749164,0.0032903103,0.0019569707,0.007307897,0.00193589,0.0133861,0.011348321,0.022949608,0.0096056685,-0.0038155655,-0.026575448,-0.009415945,-0.039378323,0.019857805,-0.028950514,-0.013920138,-0.010982926,0.036680024,0.017314095,-0.03909725,-0.034037936,-0.017651383,-0.045927323,-0.014116889,-0.019717269,0.023638237,0.018817836,0.027812168,0.017974617,0.008621913,-0.0056565935,-0.002144938,-0.010259164,0.014924974,0.0006043069,-0.04171123,-0.0058709118,-0.008706235,-0.03296986,-0.015234155,0.022865286,0.00028195133,-0.013498529,0.041964196,0.014257425,-0.0125218,-0.008073821,0.017285988,-0.0035573295,0.007975446,0.01582441,-0.0415988,-0.0024330379,0.002498036,-0.004532302,-0.021586405,0.00849543,0.008481377,0.026252214,0.002629789,-0.0061871186,-0.011011033,0.0025173598,-0.023244735,0.0095635075,0.009317569,-0.022710696,0.010765095,0.018803783,-0.0017505575,-0.011987762,0.028613226,-0.020855615,0.0029670766,0.0128099,-0.0017250853,-0.019970234,-0.0058533447,0.002396147,-0.012634229,-0.01267639,-0.0044550067,-0.025099814,-0.023399325,-0.004321497,0.008952174,-0.030805595,-0.010132681,0.015950892,-0.027615419,-0.004686892,0.014939028,0.0002597729,-0.042048518,0.015796302,-0.0056074057,-0.021010205,-0.016808163,-0.0034905747,-0.011664528,-0.010968873,0.052392,0.17449011,-0.011699663,0.02566196,0.028149456,-0.02909105,-0.0035292222,0.017342202,0.015627658,0.01502335,-0.017328149,-0.0089451475,-0.0015696167,0.02095399,0.012043976,0.021726942,-0.033616327,-0.03712974,-0.0034554407,-0.045899216,0.005719835,-0.0155292805,-0.026294375,-0.033728756,-0.017187612,0.010926712,-0.0017514358,-0.026280321,-0.0037382704,0.02245773,0.022626374,-0.016695734,-0.009078657,0.013962299,-0.004261769,-0.020771293,0.006721157,0.008502457,0.009085684,0.035640053,0.01340718,0.00044861878,-0.0028405937,-0.01767949,-0.013217456,0.0036434082,0.014039594,0.011776958,-0.0013245564,-0.0060782027,-0.0062222523,-0.01267639,-0.021010205,0.03451576,0.016302232,0.0014677279,-0.010308351,0.00997809,0.011762904,-0.026322482,0.0135125825,0.0011128733,0.025676014,-0.0014440124,-0.010989953,-0.028177563,0.024144167,0.0054141684,-0.0061871186,0.019899966,-0.014123916,0.02473442,-0.015908731,-0.024298757,-0.0030672087,-0.028767817,-0.021235064,0.024650099,0.01621791,-0.00023671614,0.03327904,-0.0034976015,-0.025690068,-0.006534946,0.002253854,-0.0061941454,-0.040193435,0.007216548,0.0011181434,-0.027193809,-0.009654856,0.0046166237,-0.0156136025,-0.011228865,0.0029372126,0.008249491,-0.00041721767,-0.02800892,0.0053544403,-0.014081755,-0.013589878,-0.01949241,0.06723265,0.006584134,0.012648283,-0.002940726,-0.013189348,0.0036398948,-0.0008357529,0.0061519844,0.010807256,0.003625841,-0.047866724,0.0056074057,-0.00092578406,-0.0018006236,0.010371593,0.013069892,-0.02931591,0.007813829,-0.0025138464,-0.015079564,-0.033194717,-0.0021976393,0.01055429,-0.034262795,-0.0005836656,0.009015416,0.0055125435,0.008003553,-0.02361013,0.03164882,0.007293843,0.03339147,-0.006303061,-0.012816926,0.0022819613,-0.010933739,-0.00876245,-0.019506464,0.02993427,0.017581115,-0.006338195,0.024593884,0.0075749164,-0.00065042044,-0.009444052,0.022204764,0.008235438,-0.0016003591,-0.027460828,-0.018972427,-0.029175373,-0.0077927476,-0.007701399,0.03766378,0.01995618,-0.015641712,-0.021347493,0.011678582,0.0029600498,-0.021979906,0.011868306,0.016962754,-0.008755423,-0.0007044391,0.030805595,-0.18101099,0.003864753,0.024411187,-0.039771825,0.00297059,-0.017018968,0.014348774,-0.0050593135,0.014882813,0.007581943,0.0043285238,0.019155122,-0.038591318,-0.004135286,-0.012233701,0.0007312289,-0.039322108,0.010118627,0.0013394884,0.01741247,-0.001234086,-0.017777866,0.029062944,0.000699169,0.030299665,-0.001876162,-0.005259578,0.027966758,-0.008692182,0.0115380455,-0.00860786,-0.009500267,0.026589502,-0.012578014,0.020363737,0.018325958,-0.016723841,0.010174842,-0.013196375,0.035330873,-0.0019517003,0.0045287884,0.009521347,-0.019928074,0.007813829,0.006320628,0.00072683714,-0.0047079725,0.0044374396,-0.012838007,-0.0031673408,-0.022907447,0.010701854,0.012725578,0.01205803,0.02654734,-0.006397923,0.0054387623,-0.006236306,0.007392219,-0.009711071,-0.032098535,-0.0019639975,-0.0057514557,-0.002450605,-0.010027278,-0.031705033,-0.0043531177,-0.008354894,0.024369026,-0.0052384976,-0.003334228,-0.005421195,-0.027573258,0.015557388,0.008235438,-0.036033556,0.0081651695,0.0058709118,0.010181868,-0.025451155,0.0300467,-0.020729132,0.023019876,0.0144190425,0.016274124,-0.0008985551,0.009626749,0.007427353,0.00266668,0.023975523,-0.016302232,0.03294175,-0.0049644513,0.033447683,0.030215343,0.005326333,0.016498983,0.00743438,-0.019773483,-0.0028054595,0.022401515,-0.01610548,0.0036574618,-0.0027211378,0.012823953,-0.032997966,0.017300041,0.035864912,-0.019590786,-0.015121725,0.000497587,0.035499517,-0.0101116,-0.0070338505,0.03192989,-0.022809071,-0.030889917,0.0076592383,0.0075678895,0.0052033635,-0.010512129,-0.007729506,-0.021305332,-0.00075406604,-0.013357992,-0.101467334,-0.005533624,0.015585495,-0.03142396,-0.0018322443,0.01668168,0.002940726,-0.0032165286,-0.016316285,0.009992144,-0.025900872,-0.01236721,0.008221384,-0.0044444664,0.05717024,-0.013463395,-0.036370844,-0.017356256,0.030440202,0.039546967,-0.004254742,0.00059552334,0.0014492825,-0.016386554,0.018438388,0.013526636,-0.012894222,0.026181946,0.028149456,0.0077224793,-0.00207994,-0.027306238,0.002169532,0.012233701,-0.013140161,-0.0048485086,-0.013667173,-0.023750667,0.006735211,-0.02727813,-0.007729506,0.011418589,0.009458106,-0.014657955,0.018958373,-0.023596076,0.002199396,0.023329057,0.018607032,-0.014812545,-0.021923693,0.0020079152,-0.011798038,-0.0072727627,0.0022766911,0.0054563293,0.011987762,-0.0015063754,-0.000729033,-0.0018568382,0.009001362,0.0044093323,-0.016569251,0.033026073,0.012332076,-0.0009099737,-0.018494602,0.010652666,0.0018234608,-0.019970234,-0.008263545,0.039996684,-0.017609222,-0.010701854,-0.009465133,-0.016723841,-0.03566816,0.0065454864,-0.0018094071,-0.018087046,-0.02650518,-0.007293843,-0.0060676625,-0.0071708737,-0.012022896,0.013161241,0.0046587847,-0.014812545,0.024172274,-0.029765626,0.026744092,0.04834455,0.014067701,-0.015388744,0.0004997829,0.0033447682,0.01082131,0.012163432,-0.007336004,-0.011875333,-0.03940643,0.003776918,-0.05705781,0.02276691,0.010294298,-0.018466495,0.00018939486,-0.00015986025,-0.01254288,-0.005526597,-0.024467401,0.0065138657,-0.0042266347,0.017398417,-0.04297606,-0.008298679,-0.009999171,-0.026997058,0.01502335,-0.0014809032,0.038619425,-0.0056390264,-0.016077375,0.023989577,0.015121725,-0.001129562,-0.02765758,-0.008193277,-0.01444715,0.016892485,0.0028282967,-0.0213756,0.016119534,-0.012254781,-0.01084239,0.017089237,3.9965063e-05,-0.0038261057,0.0072376286,0.028557012,0.025099814,0.032295283,-0.008713262,-0.0015116455,0.0052525513,-0.0125288265,-0.008488404,0.014390935,-0.013168268,-0.007905178,0.017328149,-0.00951432,0.037410814,0.02164262,-0.0065384596,-0.023834988,-0.013372046,-0.0062995474,0.020152932,0.025788443,0.009148926,-0.0013465153,0.03589302,0.013343939,0.012184513,0.0024365513,0.018494602,0.0016416417,0.0108775245,0.0074905944,-0.011875333,-0.04328524,-0.024214435,-0.024411187,0.002020212,0.015037403,0.023483647,-0.029006729,0.005568758,0.018747568,0.0008142332,0.015880624,0.009486213,-0.017623276,-0.023329057,0.0300467,0.013870951,0.004662298,-0.026898682,0.013533663,-0.0031005861,-0.0063346815,-0.00111463,0.008361921,0.017468685,0.023849042,-0.022050174,0.005593352,0.009247301,-0.02681436,0.026139785,0.04514032,-9.208983e-06,0.007940312,0.010751042,-0.0023329058,-0.015501173,0.018902158,-0.02064481,-0.050733667,0.024650099,-0.0054493025,-0.015979,0.00714628,0.025423048,0.009387838,0.0068933144,0.015163886,0.006678996,0.0028405937,-0.024945224,0.022232872,0.020405898,0.021445869,0.019408088,-0.00700223,0.017749758,0.014285533,0.028093241,-0.018297851,0.01234613,-0.010160788,0.00847435,-0.010610505,-0.022499891,-0.026954897,-0.012247754,0.02862728,-0.0035292222,0.023062037,0.0053368732,0.097138815,0.015880624,-0.0084111085,-0.003734757,0.0035555728,0.030552631,-4.839176e-05,0.0075257285,-0.028037027,-0.0018023803,0.034600083,-0.017047076,-0.005874425,-0.044044133,-0.014629847,-0.0071006054,-0.019576732,0.023399325,0.009949983,-0.0072376286,0.029878056,0.00020421707,0.01825569,-0.0023908769,-0.02909105,0.011221838,0.028374314,-0.015922785,0.0011831416,-0.0149530815,0.009064604,-0.003207745,-0.019661054,-0.023834988,0.007961392,-0.0020237253,9.277604e-05,-0.034571975,0.026575448,0.010034305,0.0032358523,-0.008354894,-0.015964946,0.004202041,0.0032815267,0.009732151,-0.0035151686,-0.013997433,-0.0059622605]','provide a text summary of metadata by subnational region using HAPI data as text','{"mem_type": "recipe", "custom_id": "6757e581-4656-4994-82f9-a15a0b4ce5a9"}','6757e581-4656-4994-82f9-a15a0b4ce5a9','7f8c3a08-235f-4300-b850-bc1de39a42cc'), + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.010890401,0.010777663,-0.015542684,-0.0146107245,-0.004772536,0.016745213,-0.04957425,0.00016628718,0.0020048409,-0.041156545,-0.011003138,0.030679515,-0.0021081832,0.0033182278,-0.008936292,-0.0015830164,0.0058134748,0.004516999,-0.00015665755,0.00033609738,0.009665324,0.013926786,-0.00054019847,-0.0007727187,-0.006546266,0.01811309,-0.0008478767,-0.022306908,-0.024696933,-0.024787124,0.038360666,-0.019931914,0.0011564945,-0.017136034,0.0050957156,-0.022517351,0.014129712,-0.016655022,0.03147619,-0.0048965467,-0.020382863,-0.01270171,0.02289314,0.0015999269,-0.019766565,-0.0018545248,0.02737256,0.0028353373,0.0012729894,0.02474203,-0.0018986801,0.0077563105,-0.035715103,-0.016790308,-0.0032787698,0.016745213,0.021976212,0.026545823,-0.00304578,-0.01906008,0.020382863,0.0028409741,-0.020623367,0.00089485047,-0.007489499,-0.033851184,-0.0058698435,-0.009515009,0.023975417,0.015993632,0.019781597,0.027853573,-0.0015341636,-0.018443784,0.011311286,0.008816039,-0.012446173,0.0039570713,0.006813077,0.0043666824,0.027808476,-0.017632078,0.0008328451,0.017586984,0.03902206,0.009447366,0.006692824,0.032257833,-0.00241821,-0.014978998,0.01972147,0.012604005,-0.00029781376,0.015294663,0.014836199,0.01764711,-0.0014364582,0.0075345943,0.0027207213,-0.033640742,-0.017090939,0.013753923,-0.046177104,0.00055898796,-0.022111498,-0.00840267,0.025373356,0.0072828145,0.009928378,0.015948538,-0.02373491,0.045966662,-0.0006078407,-0.020788716,-0.036045797,-0.006831866,0.037398644,-0.013197753,-0.0060276752,-0.006309518,-0.008628144,0.03258853,0.00886865,-0.013836596,0.00046527528,0.004235156,-0.019961977,-0.025734115,-0.01972147,-0.016820371,-0.0019447145,-0.011153454,0.013287943,-0.011333833,-0.036166053,0.0377594,-0.015437462,-0.00807949,-0.031115431,-0.010221494,0.018834606,0.019450903,0.00499801,-0.0007426554,-0.018037932,-0.0027921214,-0.020112293,0.0037503864,0.009334629,-0.016174011,0.008470312,-0.0054527163,-0.0146783665,-0.002730116,-0.032468274,0.008139617,0.0028221847,0.018067995,-0.013663732,0.0046334937,0.014580661,-0.004005924,0.0026079842,-0.00021760604,0.023298994,0.05203943,-0.0031228168,-0.023704847,0.00052610633,-0.015437462,-0.0104469685,0.025658958,-0.0051408103,-0.00381615,-0.00994341,0.014558113,0.014693398,0.032618593,-0.00637716,-0.040044207,0.0010794575,0.012679162,-0.004223882,-0.0019353197,-0.024426365,-0.026590917,0.007008488,-0.012927184,-0.004265219,0.025478577,0.025057692,0.026275253,0.007617268,0.017617047,-0.58442897,-0.040855914,-0.0054715057,-0.03586542,0.030198503,0.0046823462,0.010116273,-0.0019541092,-0.025448514,0.02651576,-0.015617842,0.022111498,-0.0012852026,-0.03484327,-0.00094276376,-0.006858172,-0.041036293,-0.025959589,0.004314072,0.019300586,-0.03409169,0.036767315,-0.014016976,0.010687474,-0.02269773,-0.017030813,-0.005231,-0.010416905,-0.008192227,0.025192978,-0.043501478,0.00816968,0.004344135,-0.0074180993,0.052249875,-0.015617842,-0.011018169,0.02828949,0.017060876,0.018278437,-0.02577921,-0.0075270785,0.018909764,0.005155842,-0.011025686,0.024110701,0.029597238,0.0055053267,0.00662894,-0.028003888,0.009747999,-0.018864669,-0.0036057073,-0.003383991,-0.0006970909,-0.005730801,0.047018874,-0.022412129,0.019090144,0.03412175,-0.003658318,0.009860735,-0.011078296,-0.027147086,-0.011025686,0.01316769,0.041968253,0.008861134,0.00047161675,-0.048161276,0.0069934563,0.020743622,0.010492063,-0.010619832,0.013205268,0.0125138145,0.03006322,-0.012656615,-0.01653477,0.028890753,0.043291036,-0.011694592,-0.03337017,-0.019556124,0.006850656,0.0017427272,-0.0235395,-0.005351253,0.023584595,0.025177946,0.020037135,0.0010879127,-0.0033332594,0.015362305,0.0027376318,0.031867012,-0.013115079,0.004400504,0.0055654533,-0.01746673,-0.006429771,0.0011884366,-0.02923648,-0.019405808,0.0061855074,0.0036395283,-0.033039477,-0.012273309,0.023208804,-0.011807329,0.010529642,0.008094521,-0.004798841,-0.041817937,-0.02859012,-0.029973028,0.03183695,0.00723772,0.01098059,0.002692537,0.033009414,0.011378928,0.002115699,0.01587338,0.020397894,0.030108314,0.0023749943,-0.03763915,-0.029386796,-0.002499005,-0.009665324,-0.0068995086,0.024501523,-0.025643926,0.014685882,-0.012596489,0.01406207,0.024321144,0.0029330428,-0.012258277,-0.01857907,0.005061894,0.010364295,-0.02138998,-0.033340108,-0.036647063,-0.003729718,0.011416507,-0.007064856,0.0049566734,-0.029041069,-0.012942215,-0.018729385,0.017421635,0.03821035,-0.028304521,0.03327998,-0.016294265,-0.004919094,-0.023028426,-8.690149e-05,0.00662894,-0.0044080196,-0.020022104,-0.017226225,0.0020818778,0.023659753,0.017541887,0.007929174,-0.03691763,-0.012852026,-0.019541092,-0.032798972,0.02970246,0.00022688335,0.033881247,-0.002572284,-0.012190635,0.009124187,-0.016324328,-0.011739687,0.03445245,-0.010371811,-0.017556919,0.023253899,-0.0005608669,0.015632873,0.017151067,-0.010138821,0.03159644,-0.001961625,-0.011641981,0.008703302,0.029401828,-0.03905212,0.016564833,-0.004223882,0.015632873,-0.010679958,0.03538441,0.023780005,0.0060126437,0.01139396,0.0034140542,0.006339581,-0.009635261,0.002927406,-0.01200274,0.021134442,-0.019556124,0.0229683,-0.04392236,-0.008605597,0.018564038,0.0012607762,-0.009334629,-0.0048251464,-0.00027080384,-0.03165657,-0.01794774,0.030228566,-0.02717715,0.023404216,-0.020427957,-0.0088385865,-0.019180333,0.011920067,0.05790176,0.02520801,-0.009642777,0.022442192,-0.0031754274,-0.009590167,0.004344135,0.023704847,-0.0002975789,0.0027545423,-0.017316414,0.023554532,0.011581855,-0.00040045148,0.025719084,0.028184267,-0.052370127,0.012453688,-0.011356381,0.025658958,-0.013731375,-0.005456474,0.0015905321,-0.016835403,0.0068468982,-0.00035512177,0.02111941,0.019901851,-0.02045802,-0.01508422,0.012634068,0.016670054,0.02111941,0.044613816,0.017090939,0.021329854,0.0129722785,0.008162164,-0.0064147394,0.0007248054,0.01429506,-0.023058489,-0.01793271,-0.0130775,-0.0063583707,0.0059299697,-0.028154204,0.0050694104,0.009808125,0.00953004,0.005467748,0.01587338,0.00962023,-0.009973473,-0.042749897,0.045515712,-0.007233962,-0.0024783367,-0.022171624,-0.03622618,0.044974577,-0.04392236,-0.007692426,-0.013423227,-0.0098231565,0.025223041,-0.0049829786,-0.009830672,0.02504266,0.014843714,-0.013265396,-0.012761836,0.036556873,-0.037579022,0.004385472,0.00159429,-0.019541092,0.051528357,-0.0038781553,-0.00019458888,-0.00024214984,-0.006726645,-0.014407798,-0.008763428,0.020878905,8.836942e-05,0.0018986801,0.010649895,-0.0148737775,-0.013874175,0.007801405,0.023644721,-0.005832264,0.01252133,-0.037218265,-0.009492462,0.03213758,0.024681902,0.017692205,0.016955655,0.016128916,0.008598081,0.007831468,-0.031897075,-0.031987265,0.0038368183,-0.017361509,-0.0025816788,-0.023749942,0.0076473313,0.017707236,0.02447146,-0.020758653,-0.019796629,-0.019315617,-0.002957469,-0.020939032,-0.014911356,-0.00017756088,0.012581457,0.008342543,0.019360712,-0.002190857,0.011348865,0.028635215,-0.009282019,-0.024035543,0.014896325,0.00043286337,0.003808634,0.027688224,0.014715945,0.051708736,0.03766921,-0.016249169,0.010477032,0.005963791,-0.0051295366,0.023449311,0.021810865,0.0073917937,0.021916086,-0.00047443516,-0.0056406115,0.02391529,0.0021683096,0.0012194393,-0.008237322,-0.00483642,0.00492661,-0.02577921,-0.0043929876,-0.014655819,-0.0013500265,0.0031773064,-0.00021138201,-0.019961977,-0.024456428,0.0033614435,0.010093725,-0.019766565,-0.026741233,-0.011995224,-0.01354348,-0.003000685,-0.013994428,-0.0037184444,-0.019931914,0.014084618,-0.023599626,0.03691763,0.0016600534,0.03016844,0.017722268,-0.017421635,-0.00040961136,-0.03147619,-0.024877314,-0.0046710726,0.012333435,-0.021254696,-0.013408195,0.006260665,-0.027192181,0.006271939,-0.0037992392,0.040675536,-0.009928378,0.011378928,0.024426365,0.010289136,0.011258676,0.012318403,0.020743622,-0.0042389138,0.00033257436,-0.011115875,0.017361509,-0.02635041,0.008891197,0.004851452,0.04061541,-0.0029931692,-0.011980193,0.01522702,0.0076473313,-0.0031265747,-0.013498385,0.00331447,0.0037917234,0.01316769,0.0073241517,0.005028073,-0.009883283,0.010830275,-0.0023186258,-0.02260754,-0.007549626,-0.021931117,0.009041513,-0.0024463944,0.0016666297,0.010755116,-0.009988504,-0.022923203,-0.0062456336,-0.008823555,-0.009770546,0.00583978,0.01148415,-0.005614306,-0.009417303,0.0049829786,-0.006384676,-0.0043027983,-0.02839471,-0.0136937965,-0.0021100622,-0.011566823,0.0024482734,-0.01915027,-0.017977804,-0.019105176,-0.028094077,0.016609928,0.0075984783,0.01839869,-0.010033599,-0.009815641,-0.009793093,-0.014520534,-0.018022899,-0.022096466,-0.015069189,0.0009211558,0.027973825,0.020623367,0.02250232,0.006193023,0.008748396,0.0036414072,-0.004547062,-0.018052964,-0.0021438834,-0.033941373,-0.017722268,-0.01857907,0.005009284,-0.009898314,0.011348865,-0.0070122457,0.009552588,0.009018966,-0.013445774,-0.0023336574,0.00662894,0.012310888,-0.023449311,-3.781389e-05,0.0050994735,0.012829479,-0.050596397,0.0069821826,0.039803702,-0.011611918,0.016745213,-0.018714353,0.023825102,-0.026155,0.010822759,0.007121225,0.019916883,0.011514213,-0.0049829786,-0.02456165,0.011048233,0.04025465,0.014813651,-0.040735662,0.018263405,0.002577921,0.016219106,0.010341747,0.028048983,0.002040541,-6.235769e-05,-0.015362305,-0.012649099,0.008936292,-0.015527653,-0.0023712364,0.030138377,-0.007583447,0.002576042,0.038180288,-0.004381714,-0.03063442,0.017151067,-0.0085454695,0.033129666,0.0183085,0.033490427,-0.0019522302,0.009838188,-0.03258853,0.019225428,-0.022457223,-0.015121799,0.021540295,0.027567971,-0.008056942,-0.012506299,0.019661345,0.036556873,-0.015384852,-0.03634643,0.016309297,-0.015903443,0.002232194,-0.023945354,0.018022899,-0.030784735,0.017226225,-0.010822759,-0.011416507,0.014926388,0.0018836486,0.008327511,0.020668462,-0.025899462,0.0177373,0.006463592,-0.008237322,-0.005997612,-0.007831468,-0.051047344,0.016670054,-0.010259073,0.018158184,0.008951323,0.0019447145,0.011844908,0.017992835,0.0032130065,-0.014843714,0.017090939,0.025824305,-0.017917678,-0.01970644,0.010664927,0.021239664,-0.008049427,-0.011363897,0.002157036,0.0093646925,-0.02681639,0.0028541267,0.008725849,-0.02737256,-0.011521729,-0.024862282,0.0064109815,-0.0068995086,-0.0037541443,-0.0074707097,0.0070761302,-0.029912902,-0.037007824,0.007966753,-0.0027188424,0.023133647,0.01400946,-0.011514213,0.0060201595,0.050746713,-0.015309694,-0.00030462496,0.016850434,-0.0055955164,-0.032829035,0.0047800518,0.0016525375,-0.014693398,0.030408945,-0.022712762,-0.045365397,0.0013528449,0.012836995,0.039743576,-0.016880497,-0.0022509834,-0.0033595646,0.009838188,-0.0049378835,-0.007000972,-0.013423227,0.035654977,-0.0061291386,0.0018770722,0.025147881,-0.033400238,0.04091604,-0.004088598,0.00017720858,0.020112293,-0.04548565,-0.0020461779,-0.003616981,0.012205667,-0.023058489,-0.012731773,0.0011658892,0.00943985,-0.015647905,0.015279631,0.01663999,-0.014302576,0.015813254,0.009747999,-0.0028372162,-0.004802599,-0.019390777,-0.024321144,-0.050987218,0.024185859,-0.03643662,-0.027312433,-0.013588575,0.03715814,0.015542684,-0.032919224,-0.04287015,-0.015384852,-0.050355893,-0.0043027983,-0.030784735,0.0130775,0.017151067,0.009770546,0.028845659,0.029116226,-0.008703302,-0.007944206,-0.009980989,0.021525264,-0.008109553,-0.03529422,0.0040435027,-0.014227418,-0.039803702,-0.0077563105,0.02559883,-0.00019341454,-0.004727441,0.027207213,-0.00070930406,-0.00915425,-0.0061065913,0.007624784,0.006722887,0.0076698787,0.006429771,-0.03183695,0.0005815354,0.018233342,0.00089438073,-0.031055305,0.01139396,0.0109054325,0.02484725,0.0051633576,-0.0024952472,-0.019450903,-0.0101764,-0.016098853,0.024591712,-0.0030833588,-0.025358325,0.013197753,0.0152044725,-0.006076528,-0.0071324985,0.052009366,-0.013956849,-0.0050243153,0.013152658,-0.005997612,-0.044704005,0.00022606131,0.011424023,-0.012025287,-0.010800212,-0.011882487,-0.005118263,-0.024651838,-0.0017840641,0.005076926,-0.013836596,-0.027071929,0.020232545,-0.03036385,-0.0046485253,0.010935496,-0.0012983553,-0.027222244,0.021420043,-0.005738317,-0.029627303,-0.008184711,0.015151862,-0.002923648,-0.016519738,0.047950834,0.18001856,-0.0066214236,0.021886023,0.021089347,-0.022096466,-0.011566823,0.017481761,0.021720676,0.016594896,-0.010108757,-0.010116273,-0.0031284536,0.0040923557,0.010078694,0.012040319,-0.013197753,-0.03634643,-0.011995224,-0.065898575,-0.019210396,0.00028583544,-0.025989652,-0.023058489,-0.031897075,0.013626154,-0.007143772,-0.016700119,-0.011544276,0.03790972,0.036647063,-0.015512621,-0.030108314,-0.0006388434,-0.0040209554,-0.02138998,0.017241256,0.014422829,0.020382863,0.042749897,-0.0015877137,-0.0053888317,-0.023945354,-0.033550553,-0.008552985,0.000979873,0.015677968,0.008853618,-0.025192978,0.009056545,0.00058200513,-0.009424819,-0.0025910737,0.036196116,-0.005343737,0.0007797647,-0.016038727,-0.00036522115,0.012821963,-0.016670054,0.020969095,-0.010604801,0.02559883,-0.013378132,-0.008252353,-0.035955608,0.00053972873,-0.0030702061,-0.0067153713,0.0010428178,-0.015467525,0.02335912,-0.00863566,-0.029266544,0.013535964,-0.019676376,-0.021374948,0.018533975,-0.003575644,-0.006380918,0.040014144,-0.0067867716,-0.021269727,-0.009793093,-0.008485343,-0.007951722,-0.0459366,0.0066815503,0.0035474598,-0.035624914,-0.0063997074,-0.002925527,-0.00013093941,-0.017707236,-0.0075646574,0.006456076,0.0039307657,-0.009221892,0.010664927,-0.010026083,-0.012761836,-0.010920464,0.061419155,-0.00045963842,0.0067491927,-0.015813254,-0.004201335,0.009484946,0.017602015,0.012175604,-0.010815243,0.00863566,-0.037488833,-0.00985322,-0.010221494,-0.01195013,0.00029241177,-0.010416905,-0.0135960905,-0.01148415,-0.009094124,-0.015948538,-0.03520403,0.0032938013,-0.006955877,-0.020908969,-0.009687873,0.0075608995,-0.0032599804,0.005550422,-0.030288693,0.043862235,0.010604801,0.022532383,-0.011311286,-0.013250364,-0.0115292445,-0.022021307,-0.013716344,-0.024155796,0.03421194,0.010198947,-0.003156638,0.023810068,0.01195013,-0.011258676,0.0034027805,0.018819574,-0.010717537,-0.0051032314,-0.031145494,-0.016940624,-0.027778413,0.00038471524,-0.015219504,0.0433211,0.0012992948,-0.0083801225,-0.0029048584,0.014693398,-0.02466687,-0.01951103,0.0068468982,0.015354789,-0.00067313423,0.0077638263,0.023253899,-0.19529067,0.0026079842,0.00081593456,-0.037849594,0.01098059,-0.041366987,0.025343293,-0.0018517064,0.002886069,0.0066702766,-0.0067003397,0.015099252,-0.024351208,0.0022115256,-0.028064014,0.025749147,-0.026696138,0.011273707,-0.00082485954,0.015016577,-0.015587779,-0.015993632,0.020022104,-0.007884079,0.029251512,-0.0061817495,-0.00036968364,0.022757856,0.0018441905,0.022081435,-0.011927582,-0.011221096,0.017962772,-0.021600423,0.011153454,7.040195e-05,-0.02045802,-0.0027413897,-0.009342145,0.041848,0.0038819131,0.0074519203,0.010770148,-0.02129979,-0.0030119587,0.015572747,0.015001546,0.007914143,-0.0046334937,-0.025102787,-0.008335027,-0.024967503,0.006719129,0.004077324,0.005268579,0.011296255,-0.00947743,0.005009284,-0.012130508,-0.015076704,-0.0069107823,-0.03129581,-0.008049427,-0.011551792,0.0015200715,0.0021513992,-0.039202437,0.0007224567,0.010259073,0.031145494,-0.0056819483,-0.00096155325,-0.00073279097,-0.0039119762,0.009139218,0.0025121577,-0.049544185,-0.0025516157,0.01653477,0.010041115,-0.028635215,0.030138377,-0.012092929,0.020037135,0.01793271,0.00886865,0.009732967,-0.0016205953,-0.009124187,-0.0007943266,0.037819527,0.0017399088,0.023223836,-0.013761438,0.02335912,0.03204739,0.006489897,0.018007867,0.015377336,-0.023689816,-0.0025365842,0.011687077,-0.005122021,-0.0023092309,-0.0031228168,0.015662936,-0.030874925,0.020412926,0.032648657,-0.02102922,-0.009109155,0.016865466,0.020563241,-0.011927582,-0.014595693,0.0064034658,-0.015903443,-0.028650247,0.008658207,0.016369423,0.00035253822,-0.0011367655,-0.024681902,-0.0149414195,-0.008350059,-0.013400679,-0.1096105,-0.0026155,0.007230204,-0.02792873,0.022757856,0.012836995,-0.003968345,-0.0038180288,-0.018473847,0.00562558,-0.018098058,-0.019330649,0.0013162052,0.009041513,0.05041602,0.00013082198,-0.028695341,-0.006651487,0.019075112,0.036617,-0.006350855,0.006268181,0.0022472255,-0.016234137,-0.0014655819,0.01536982,-0.007981785,0.03493346,0.01382908,-0.0003842455,-0.0009639019,-0.01793271,0.001671327,0.010627348,-0.01116097,-0.009702904,-0.01653477,-0.018022899,0.0146107245,-0.046447672,0.00017204146,0.005734559,0.0076360577,-0.022021307,0.003231796,-0.0062907287,-0.0013021132,0.037428707,0.013911754,-0.01972147,-0.04746982,-0.014558113,-0.0064147394,-0.0183085,0.027763382,0.003919492,0.004840178,0.006038949,0.004122419,-0.011085812,-0.0011987708,-0.018098058,-0.019210396,0.031806886,-0.003502365,-0.020743622,0.0066176658,0.014918872,0.009184313,-0.012919668,0.007778858,0.0214952,-0.023554532,-0.007726247,-0.00096578087,-0.010943011,-0.010138821,0.004111145,-0.01952606,-0.027026834,-0.021179538,-0.010244042,0.002923648,-0.008853618,0.018789511,0.017707236,0.018158184,-0.020969095,0.038871743,-0.022908172,-0.003275012,0.024696933,0.013032406,-0.018804543,-0.03183695,-0.014099649,0.009687873,0.011138422,-0.020473052,-0.006061496,-0.019541092,0.01406207,-0.056639105,0.02567399,0.0038819131,-0.020638399,0.0020593305,0.0006003249,-0.015452494,0.0006191144,-0.010815243,0.0064147394,-0.011063265,0.013272911,-0.031536315,-0.013054953,-0.016279234,-0.010003536,0.018098058,-0.00066937634,0.040555283,-0.0032618593,-0.019300586,0.017586984,0.016790308,-0.012724257,-0.017767362,-0.01793271,-0.01429506,0.006260665,0.0013218422,-0.037428707,0.0071700774,0.00016487796,-0.0055278745,0.0073880358,0.006891993,0.00053174316,-0.0094623985,0.020863874,-0.0035343072,0.020022104,-0.012912152,0.006260665,0.003915734,-0.0060126437,-0.012310888,0.029311638,-0.022066403,0.0013876054,0.032408148,0.013889207,0.017481761,0.017662141,-0.01951103,-0.018609133,-0.02970246,0.009800609,0.01644458,0.02081878,0.0044455985,-0.009605198,0.034151815,-0.0021250937,0.011296255,0.005546664,0.004498209,-0.0019541092,0.010567221,0.005287369,0.00985322,-0.03382112,-0.033881247,-0.016655022,0.013445774,0.028605152,0.035113838,-0.014167292,0.00024872617,0.013250364,0.010792695,0.023840133,0.031897075,-0.028469868,-0.043140717,0.021916086,0.026320348,0.007951722,-0.003771055,-0.00063085783,0.010755116,0.0148737775,-0.0042464295,0.015467525,0.02373491,0.037398644,-0.015189441,-0.009717936,0.0020574515,-0.03045404,0.026876517,0.04819134,-0.016038727,0.0003577053,0.019916883,0.008988902,-0.0057571065,0.0036414072,-0.012032803,-0.06241124,0.035444535,0.00039387515,-0.015437462,0.008117069,0.017361509,0.014347671,0.01153676,0.014640788,0.02681639,0.0023505678,-0.025989652,0.00999602,0.0334303,0.009860735,0.020397894,0.004580883,0.01148415,0.009312082,0.032558467,-0.010522126,0.013009857,-0.0053550107,0.023419248,-0.010537158,-0.027613066,-0.028980942,-0.00361886,0.03679738,0.0020123567,0.028364647,-0.014302576,0.11880984,0.020638399,-0.005287369,-0.010785179,-0.013799017,0.026064811,0.0055880006,0.007466952,-0.013956849,0.004028471,0.04933374,-0.0078239525,-0.01252133,-0.019210396,-0.010867854,-0.025809273,-0.021374948,0.035624914,0.021284759,-0.022908172,0.025448514,0.012198151,0.035173967,-0.0032411907,-0.020924,-0.0018413721,0.027718287,-0.008184711,-0.012446173,-0.015482558,0.0038706395,0.01382908,-0.0036977758,-0.028169235,0.009266987,-0.011025686,0.009657809,-0.022622572,0.028560057,0.017857552,-0.0026850211,0.0016985718,-0.018744417,-0.0127768675,-0.0031660327,0.007064856,-0.0020593305,-0.0125138145,-0.019586187]','provide a text summary of metadata for Wadi Fira using HAPI data as text','{"mem_type": "memory", "custom_id": "0d41e4e3-6955-4a3e-ae27-7e6836dc28e9"}','0d41e4e3-6955-4a3e-ae27-7e6836dc28e9','dc7380f4-1549-41f3-8a1f-87d4082f8656'), + ('4fe46967-7c1f-41e0-af45-16ebdff54616','[-0.010540368,0.018077698,-0.009522011,-0.0103099365,-0.0014048868,0.010644434,-0.030208783,-0.00092126016,-0.0147401625,-0.014940861,-0.013394741,0.019430552,-0.02227006,-0.009522011,-0.02612049,0.023414781,0.0070058513,-0.03395515,0.01819663,-0.009499711,-0.007752894,0.019267019,0.018835891,-0.002105472,0.0012840963,0.0024511188,0.022522788,-0.028097738,-0.018389896,0.00073078275,-0.0055191983,-0.017527636,0.0052739005,-0.03249823,-0.002898973,-0.0017802666,0.000395589,-0.006470656,0.05304377,-0.0003361229,0.014197534,-0.0063963234,0.0072734486,-0.005370533,-0.026402952,-0.010659301,0.002330328,0.009306447,0.0017235881,0.0047684386,0.0051252353,0.04748369,-0.009715276,-0.021036137,-0.0048985207,0.014197534,-0.017438438,-0.012978478,-0.004642073,-0.0021909545,0.01947515,-0.0016139474,-0.024262173,-0.0042741266,-0.04513478,-0.030015519,-0.010852565,0.0042927098,0.032171167,0.038415108,0.021095602,0.014190101,-0.0039805127,-0.019058889,0.01669511,0.007775194,-0.0041960776,0.018553426,0.0070021343,-0.0018480952,0.02076854,-0.033836216,0.01755737,-0.0103099365,0.023013385,0.015119258,-0.018865624,0.05997157,0.0006039527,-0.009759875,0.0249609,-0.012919012,-0.009425378,0.014546897,0.008236056,0.005734763,-0.010755933,0.030446649,-0.017141106,-0.042904798,-0.027503077,0.021155069,-0.02774094,-0.011699957,-0.016026117,0.021437533,0.0010666733,0.007358931,0.010614701,0.036928456,-0.012064187,0.024841968,0.018687226,-0.012517616,0.010250471,-0.012807514,0.013104844,-0.0005463449,-0.009811908,0.0054968987,0.0048018885,0.031398106,0.003517792,0.0054783155,-0.0008562191,0.03446061,-0.020159012,-0.04156681,-0.012584516,0.0036961904,0.011120163,-0.005203285,-0.0018099997,0.021511866,-0.032855026,0.03252796,-0.015156425,0.007671128,-0.028454535,-0.029064061,0.019341353,0.021615932,0.035798598,0.013446774,0.010993797,0.027503077,0.004300143,-0.006273675,-0.014309033,-0.014368499,0.01874669,0.009172647,0.016278848,-0.0044562416,-0.022552522,0.011268828,0.0071730996,0.024946034,0.021155069,0.01751277,-0.013246076,-0.019980613,5.643909e-06,-0.016130183,0.0017598252,0.042934533,-0.00605811,-0.01102353,0.0011735265,-0.0031851535,-0.0065598553,0.0392179,-0.017929032,0.009663243,0.018226363,-0.007280882,0.0037853897,0.011900655,-0.0059243115,-0.0044079255,-0.012748048,0.036750056,-0.0030494966,0.005158685,-0.009507145,-0.01040657,0.021660531,-0.0071359333,0.014487431,0.0061361594,0.029985785,0.011744557,0.019118354,0.0014727154,-0.60179704,-0.028722132,-0.019549483,-0.03035745,0.029272193,0.0043038595,0.0010536652,0.013379875,-0.039842293,0.045818638,-0.0047907387,0.015788252,-0.0028692398,-0.030506115,-0.0049802866,-0.015022626,-0.02983712,0.0074704303,0.006292258,0.01277778,-0.023251249,0.015178725,-0.00899425,0.029272193,-0.0045045577,0.014940861,0.0014160367,-0.007195399,0.00498772,0.027428744,-0.028454535,0.010607268,-0.013469074,-0.01726004,0.05012993,-0.0069240853,-0.012465583,0.0034676176,0.012971045,0.019921146,-0.018315561,-0.0018778283,0.01708164,-0.002176088,-0.026923282,0.0025812008,-0.004894804,-0.012740614,-0.0015135984,-0.036631122,-0.009789608,-0.025510961,0.010837698,-0.007541046,-0.0058053792,0.006623038,0.00042718038,-0.022329524,0.009908541,-0.013357575,-0.008786118,-0.014398232,-0.016472112,0.016382914,0.0023953693,0.018969689,0.002852515,0.012235153,0.00886045,-0.026953015,-0.014487431,0.03026825,-0.0020906054,0.018241229,0.021214535,0.012376384,0.034133546,-0.032914493,-0.013588007,0.02910866,0.025406895,-0.019044021,-0.018939957,0.011848623,0.008035358,0.0039024635,-0.036185127,0.01277778,-0.007894126,0.034728207,0.0054968987,-0.0042964267,0.026447553,-0.014361066,0.0011345019,0.044034656,0.00321117,-0.027280077,0.012651415,-0.03347942,-0.0053928327,-0.008050225,-0.011633058,0.0013853746,0.032349564,0.01172969,-0.03240903,0.012978478,0.02958439,-0.014561764,-0.018375028,-0.028201804,-0.019118354,-0.04126948,0.014338766,-0.032379296,0.043261595,0.00062067754,-0.0010871148,-0.0022615704,0.037701514,0.0152679235,0.026655683,-0.014792195,0.026224555,0.038801637,0.006946385,-0.009811908,-0.017111374,0.012324352,-0.0107261995,-0.0023154616,0.04067482,-0.016189648,0.04019909,0.00044297607,0.016457247,-0.0048799375,-0.017839832,-0.020664474,-0.018464228,-0.0023359032,0.0064483564,-0.023221517,0.003605133,-0.037433915,0.016962709,-0.010250471,0.008518521,-0.010079506,-0.005128952,-0.026893549,0.0020144144,0.017349238,0.02655162,-0.014071168,0.0115066925,-0.0057682125,0.025763692,-0.018999422,0.005797946,0.012450716,-0.0043893424,-0.015684187,0.00076841365,-0.007990759,0.00711735,0.037017655,0.028023405,-0.020709073,0.0053296504,-0.008867884,-0.02787474,0.015565255,-0.016026117,0.013521107,-0.007217699,0.0005816529,0.013312976,-0.03425248,0.026611084,0.0041366112,-0.030149318,-0.022656588,0.041685745,-0.009194948,0.010198438,-0.01990628,0.01282238,-0.010689033,-0.011149895,-0.00047131538,-0.023266116,0.0136995055,0.0072065494,0.004515708,0.010577534,0.032884758,0.012933879,0.020783406,0.05934718,0.023518847,0.035085004,0.004597474,0.025243364,-0.03056558,-0.009908541,-0.011008664,-0.009492278,0.0005365887,0.019252153,-0.041477613,0.002393511,0.003393285,-0.004564024,0.023191784,-0.0060655433,-0.005299917,-0.030922377,-0.005482032,0.012264885,-0.02594209,0.023132317,0.00321117,0.005797946,-0.027949072,0.006853469,0.043737326,0.016620778,-0.008875317,0.0057421965,0.015773386,-0.0035419501,0.0036367243,0.0136995055,-0.0025384596,0.010495769,-0.014071168,0.02076854,0.01211622,-0.022359258,0.0019716732,0.02949519,-0.0356202,-0.0011214936,-0.0040771454,0.0068386025,0.0142718665,-0.01528279,0.004459958,0.0074035306,0.032676626,-0.02273092,0.012101353,0.014717862,-0.02778554,-0.0027503076,0.028692398,0.03933683,0.029153261,0.032052234,-0.00013275344,0.018166896,0.013402174,-0.025228497,-0.01318661,-0.019385953,-0.015877452,-0.0058685616,0.0019958313,0.0020738805,0.01138776,0.010525501,-0.012539916,0.0115587255,-0.020605007,0.0037612314,-0.013922503,0.014071168,0.005957761,-0.034995805,-0.017795233,0.013558273,0.0038615805,-0.0018062831,-0.035947263,-0.02958439,0.005731046,-0.035293136,-0.0026722583,0.018464228,-0.008934783,0.025600161,-0.00645579,-0.0010239321,0.004088295,0.012948746,0.007804927,-0.015253058,0.020129278,-0.017051907,-0.0023191783,-0.010287637,-0.02787474,0.027399011,-0.016472112,-0.009410512,-0.015565255,-0.016442379,0.0073737977,-0.0073366314,-0.0064186235,-0.015119258,0.01849396,0.007529896,-0.020456342,-0.056611735,0.015609854,0.032022502,-0.010436302,0.0039544962,-0.050575927,-0.016427513,0.021764597,0.030238517,0.019281887,0.009663243,0.00076562614,-0.001165164,0.01853856,-0.012718314,-0.02655162,0.017334372,-0.012324352,-0.018211497,0.007593079,-0.0035661084,0.00338771,0.033895683,-0.01138776,-0.019638684,-0.029599257,-0.017304638,-0.00926928,-0.039188165,0.009626077,0.012926445,0.01626398,0.013825871,-0.0035809749,0.024247307,0.019267019,0.0067456868,0.0070095677,-0.022240326,0.012443284,-0.009358479,0.026625952,-0.0023805026,0.029985785,0.029881721,-0.011670224,0.005251601,-0.001523819,0.0064855227,-0.0010007032,0.0077157277,-0.014784762,0.02418784,-0.0056232642,-0.0093659125,0.025496095,-0.0019419402,-0.005734763,0.0037798146,-0.01566932,0.004129178,-0.016605912,-0.026046157,-0.006381457,0.010971498,-0.03163597,-0.014978027,-0.039723363,-0.032587428,-0.009730143,0.018835891,-0.018850757,-0.008808417,-0.0089496495,-0.028008537,-0.003417443,-0.012465583,-0.0024213856,-0.0091057485,-0.047275558,-0.008302956,0.04923794,0.015951784,0.015074659,0.009499711,-0.015357123,-0.007529896,-0.013394741,-0.020144144,-0.004229527,0.00677542,-0.01532739,-0.018969689,0.0025849175,-0.029658722,0.0027149997,0.0013667914,0.032379296,-0.010079506,-0.01849396,0.0059540444,0.008830718,0.011127596,-0.005259034,0.005199568,-0.005667864,0.016204515,-0.01113503,-0.015788252,-0.028722132,-0.00997544,0.0076488284,0.014702996,-0.0032557696,-0.023667512,0.01596665,-0.028068004,-0.039426032,-0.008459054,-0.0027372993,-0.013409608,0.011120163,0.0045045577,-0.016947841,0.0107039,0.025273098,-0.0058313953,-0.007611662,0.009306447,0.00055377814,0.0015628437,0.016754577,-0.023236383,0.026462419,-0.007946159,-0.029034328,-0.008050225,0.0003646945,0.005054619,0.0026927,-0.02004008,-0.012889279,-0.00892735,0.009395645,-0.028454535,-0.00082369853,-0.019787349,-0.026358353,-0.0068794857,-0.01580312,-0.0007693428,-0.009150348,-0.0069612516,-0.017483037,0.0011512267,0.0018611035,0.022180859,-0.0050434694,-0.0046383566,-0.018300695,0.017527636,-0.01143236,-0.035352603,-0.018806158,-0.022507923,0.017215438,0.034787674,0.017646568,0.043529194,0.03279556,0.012257452,0.0006281108,-0.0076785614,0.014561764,0.021853795,-0.013216343,-0.011863489,0.0013184751,0.02418784,0.0037537983,-0.007864393,-0.00031289394,0.00676427,0.00043647195,0.002529168,-0.020188745,0.01726004,-0.0050434694,-0.021036137,-0.010540368,-0.031189974,0.0036590241,-0.04721609,-0.008607719,0.043558925,-0.0076859947,0.0049022376,0.0017626127,-0.0029268477,-0.0019345069,0.032171167,0.01136546,-0.00931388,-0.0017375255,-0.003369127,-0.0110904295,0.024247307,0.040020693,0.005058336,0.017245172,-0.016085584,-0.0045677405,-0.012896713,0.007332915,0.0012088346,0.004036262,-0.010755933,-0.0073366314,-0.013052811,-0.01352854,-0.016472112,-0.0039061802,0.0019605234,0.0075484794,-0.0075336127,0.015357123,-8.485826e-06,-0.012376384,0.0053259335,-0.02243359,0.013350142,-0.0115587255,0.023444515,0.012257452,-0.015550388,-0.02359318,0.008518521,-0.023474246,-0.009351046,0.03933683,0.029346526,-0.0059689106,-0.013417041,0.0014178951,0.030773712,0.017364103,-0.038415108,0.017007308,-0.0032483363,0.022106526,-0.020025212,0.013008212,-0.033241555,-0.004348459,-0.018389896,-0.022894453,0.01828583,0.016026117,-0.010592401,0.008087391,-0.024455437,0.0001177127,0.00034889881,-0.001582356,-0.017141106,-0.019504884,-0.021140203,0.016918108,-0.014331332,0.0033747018,0.003417443,0.0045528742,0.016546445,-0.001411391,0.022448456,0.0041886442,-0.0013221918,0.02919786,-0.049416337,-0.0046718065,0.019133221,0.0110904295,0.016070716,0.008228623,-0.030000653,-0.00013751538,-0.027086813,-0.0041960776,0.01708164,-0.034668744,-0.016665377,-0.024306772,-0.0028710982,-0.025005499,-0.038801637,-0.00062439416,0.02033741,0.006374024,-0.031308908,0.015951784,0.025733959,0.018419627,0.0077826274,-0.005522915,0.0055563645,0.023563446,-0.01879129,0.014041435,0.013045378,0.010228171,-0.047959417,-0.0029956053,-0.013320409,-0.0066676377,0.017929032,-0.034193013,-0.015907185,-0.017780367,-0.0048725046,0.018092563,0.019252153,0.00092451216,0.0011168479,0.021392934,0.0038504307,-0.032052234,-0.011543859,0.06166636,-0.008600286,0.011313427,-0.014130634,-0.022180859,0.03026825,-0.04233987,0.0068125864,0.04165601,-0.022493057,-0.00856312,-0.015639586,0.028781597,-0.024767635,0.019029155,-0.032736093,-0.006288541,-0.008778685,0.024128374,0.0059837773,-0.003722207,0.027651742,0.003969363,-0.01755737,-0.010436302,-0.0357094,-0.023251249,-0.015684187,0.0079089925,-0.016308581,0.0057013133,0.0020460058,0.015134125,0.026179954,-0.030684512,-0.021601064,-0.0011698098,-0.032319833,-0.007444414,-0.007381231,0.021006403,0.007842094,0.017839832,0.010235604,0.027190879,-0.002928706,0.004642073,-0.0152679235,5.316526e-05,0.008288089,-0.036512192,0.016382914,0.004459958,-0.019281887,0.0132832425,0.01844936,0.01960895,-0.012926445,0.017943898,-0.0061956253,-0.007819793,-0.013796138,0.011595892,0.0013286959,0.0074146804,-0.007953593,-0.022165993,0.0034620427,0.003835564,0.021288868,-0.013967102,-0.022924185,-0.003540092,0.0037333567,-0.019965747,-0.0057087466,-0.0064966725,-0.0022782953,-0.027755806,0.00085296703,0.0021259135,-0.01844936,0.046472766,0.018389896,0.010109238,0.0064000404,0.0427264,-0.027770674,-0.0042666933,0.004415359,-0.0010471611,-0.0069017853,-0.0037147736,0.013900204,-0.027547676,-0.004723839,-0.0090016825,-0.03776098,-0.026640818,0.019445417,0.014732729,-0.0357094,-0.019252153,0.03240903,-0.010956631,0.0020961803,0.024782501,0.0025514679,-0.039158434,0.013989403,0.014881394,-0.00034309158,-0.03026825,0.008027925,0.008288089,-0.006180759,0.037969112,0.18838863,-0.013610306,0.018508827,0.035501268,-0.02320665,-0.0006188192,0.01216082,0.01755737,0.021824062,0.0010833982,-0.030922377,0.016234249,0.0034508926,0.0034917756,0.015141559,-0.027250346,-0.044123854,-0.03425248,-0.030773712,-0.0024771353,-0.008823284,0.020738807,-0.030372316,-0.021764597,0.007931292,0.0054448657,0.0038039729,-0.0012627257,0.019385953,0.009826775,-0.0025681925,-0.032349564,0.023548579,0.0056083975,-0.03282529,0.012004721,-0.005433716,0.007098767,0.042993996,0.0067419703,0.014502298,-0.018003365,-0.022463324,-0.0107708,0.014286733,-0.0017514628,0.0112465285,-0.012465583,-0.014435398,-0.0043596094,-0.022165993,-0.015832853,0.025793426,0.017542502,-0.006262525,-0.0060729766,0.026967881,0.014115768,-0.049892068,0.012532483,0.019490018,0.03013445,-0.004530574,-0.005303634,-0.026224555,0.02774094,-0.009432812,3.7747043e-07,0.017111374,-0.022106526,0.0070095677,-0.003623716,-0.007975892,-0.004140328,-0.014524598,-0.013156877,-0.010243038,0.024336506,0.010629567,0.025629893,-0.009789608,-0.032736093,-0.0010545943,-0.022716055,-0.022671456,-0.043172397,-0.006076693,-0.020723939,-0.044242784,4.0941024e-05,0.00057607796,-0.0068274527,-0.025838025,-0.010555235,-0.002529168,-0.0043187262,-0.014792195,0.0033245273,0.003081088,-0.030119585,-0.019668415,0.06945641,-0.01245815,-0.0032966526,0.0049654203,-0.019831948,0.0077900602,0.012807514,-0.009276713,-0.0028785313,-0.025912357,-0.032052234,-0.008072524,-0.010637,0.0010313654,0.0029268477,0.009068582,-0.025109565,0.00967811,0.0069947015,0.0038039729,-0.04079375,0.0067791366,0.0071619498,-0.010800532,-0.002404661,-0.010332237,-0.013201476,-0.005879712,-0.018241229,0.007990759,0.00046179153,0.020575274,-0.016888374,-0.011298561,0.02204706,-0.014257,-0.011112729,-0.01528279,0.0043670423,0.001382587,-0.036750056,0.007752894,0.00077724067,0.0071062003,-0.017661436,-0.012339218,0.01033967,0.01751277,-0.015505788,-0.024410838,-0.01102353,0.00038838803,-0.012881846,0.017393837,-0.008295522,-0.003965646,-0.014643529,0.023057984,0.008250923,-0.011908089,-0.003746365,0.02204706,-0.005110369,-0.013350142,0.0013658622,-0.19326486,0.008719219,0.006009794,-0.015238191,0.0065189726,-0.016040983,0.012584516,0.025867758,-0.002330328,0.013149444,-0.002222546,0.023325581,-0.038236707,-0.008778685,0.010176138,-0.0039730794,-0.0136995055,0.009120614,0.0037352152,0.01626398,0.030342583,0.014859094,0.022745788,-0.017185707,0.0048985207,0.0040251124,0.008503654,0.042904798,-0.0067940033,-0.0052293013,-0.026150223,-0.025406895,0.0060655433,-0.019400818,-0.012368951,-0.0059503275,-0.0071210666,-0.00745928,-0.006258808,0.010250471,0.00087619596,0.0073960973,0.01505236,0.004787022,0.006177042,0.020144144,-0.0132832425,-0.020099545,0.022344392,-0.008800984,0.03056558,-0.035768867,0.01682891,0.0013491374,0.003534517,0.00958891,0.01917782,0.03339022,-0.009172647,0.011915522,-0.04700796,-0.015312524,0.011841189,-0.010414002,-0.01922242,-0.0015795686,-0.03452008,0.0063442905,0.0043373094,0.015371989,-0.02423244,-0.003105246,-0.0024752768,-0.010451169,0.026269155,-0.008258356,-0.04008016,-0.0033505436,0.023533713,0.016115315,-0.0177655,0.030981844,-0.0027670325,0.024500037,-0.020144144,0.0044785417,0.0070616007,0.014457698,0.00967811,-0.003029055,0.020144144,-0.010488335,0.011491826,0.0079089925,0.020426609,0.02345938,-0.013766404,0.0064372066,0.013706938,-0.019430552,0.0114026265,-0.011945255,-0.008592853,0.013989403,0.018047964,0.01387047,-0.023994576,0.015201025,0.027161146,0.0012683007,-0.017230306,0.010956631,0.024336506,0.0010499485,0.013788705,0.017601969,-0.033122625,0.0001469231,-0.014978027,0.02227006,0.025183897,0.009321312,-0.0008274152,-0.012168253,0.011945255,-0.0016204515,-0.10650381,0.018137164,0.013156877,-0.004560307,0.01801823,0.017274905,-0.0061547426,-0.0055489317,-0.0318441,0.019207554,-0.0068423194,-0.012012154,0.001670626,-0.004660656,0.05461962,0.0005036036,-0.023474246,-0.0047387057,0.03172517,0.03425248,-0.0071545164,-0.026982747,0.00752618,-0.01216082,-0.0016604053,0.02953979,-0.018003365,0.0036553075,0.026254287,0.0064186235,0.0069240853,-0.023444515,0.010547801,-0.005006303,-0.021437533,-0.011974988,-0.023117451,-0.0041366112,-0.004118028,-0.034103815,-0.008362422,0.009358479,-0.0019809648,-0.012145953,0.026254287,-0.027205745,-0.0011493685,0.045818638,-0.005106652,-0.0067308205,-0.03511474,-0.012361518,0.01245815,-0.02020361,-0.020277943,-0.003764948,0.0024957184,-0.0045194244,-0.018612893,0.014279299,-0.004352176,0.008079958,-0.0318441,0.017527636,0.0046532233,0.017497903,-0.029019462,0.011930388,0.010599834,-0.001376083,-0.02821667,0.035947263,-0.014866527,-0.017869566,-0.019088622,-0.0056604305,-0.032022502,0.022195727,0.02997092,-0.012614248,-0.027265212,-0.0110904295,-0.005994927,0.007983325,-0.012710881,0.025838025,0.00463464,-0.024083775,0.012733181,-0.02612049,0.009373345,0.02227006,0.0021073304,-0.004545441,-0.014710429,0.024143241,-0.004021396,0.010614701,-0.003805831,-0.012354084,-0.057771325,0.006125009,-0.053192437,0.014933427,0.012532483,-0.022448456,-0.01892509,-0.008488787,-0.013483941,0.009142915,-0.013097411,0.00013716695,-0.019713016,0.00609156,-0.03270636,0.0004624884,-0.012242585,0.0037779564,0.006686221,-0.0049802866,0.034787674,0.0066602044,-9.110104e-06,0.00055610103,0.039247632,0.014896261,0.00014738769,0.00431501,0.004311293,0.016769443,0.008317823,-0.0077157277,0.034995805,-0.0056418474,-0.012770347,0.0065895882,0.011655358,-0.020218477,0.010243038,-0.003921047,0.019133221,0.005783079,-0.026016423,-0.029524924,-0.0061324425,-0.017706035,-0.0034118681,0.031160241,-0.002882248,-0.0112465285,0.020456342,0.016799176,0.024009442,0.003004897,-0.019668415,-0.0177655,-0.008979383,-0.042012807,0.0072883153,0.028053138,0.032617163,0.020307677,0.02658135,0.017378971,0.026269155,-0.008295522,0.0039136135,-2.3501163e-06,-0.0068237362,0.022359258,-0.0012320635,-0.027993672,-0.022656588,-0.0045714574,0.0029101227,0.019787349,0.018612893,-0.025169032,0.0078123603,0.015981518,0.006652771,0.010235604,0.009514578,-0.0014392657,-0.021229401,0.02705708,-0.0015219607,0.031011576,-0.019638684,0.025362296,-0.010428869,0.0115587255,-0.018910224,0.0011837473,0.0052478844,0.024054041,-0.005630697,-0.015624721,0.007804927,-0.011952688,0.029257325,0.05244911,-0.00638889,-0.0027465909,-0.0061733257,-0.03871244,-0.020188745,-0.00040232542,-0.00961121,-0.02684895,0.037523117,0.01575852,-0.022909319,-0.006935235,0.021184802,0.015490922,0.0017365962,0.014167801,0.0073217647,-0.0016994299,-0.018984556,0.025748827,0.014859094,0.018761558,0.009536877,0.004809322,0.02667055,-0.017364103,0.00046713417,-0.006656488,0.022686321,-0.006864619,0.0028748147,0.008035358,-0.017141106,-0.023087718,7.828156e-05,0.017899299,0.018835891,0.028112603,0.011097863,0.098297484,0.0035029256,-0.0018973406,-0.010926898,0.0109863635,0.047067426,0.0076005124,0.022284925,-0.039098967,-0.019846814,0.04897034,-0.00044065318,-0.0085854195,-0.02675975,-0.012331785,0.0067271036,-0.0071136337,0.0038039729,-0.02667055,0.011335728,-0.009804475,0.010525501,0.03013445,-0.005875995,-0.030297983,-0.0072065494,0.042012807,0.009239547,0.006950102,-0.011841189,-0.0031089627,-0.011224228,-0.00231732,-0.011335728,-0.006128726,-0.004560307,-0.008570553,-0.0025626177,0.037225787,-0.01746817,0.0026908414,0.0035958414,-0.0056269807,0.006125009,-0.013758971,-0.0022188292,-0.009700409,-0.027889606,-0.027458476]','provide the total population of a provided country using HDX data as text','{"mem_type": "recipe", "custom_id": "8fc9e346-0f7c-4f4b-8cc0-03c42d7485cd"}','8fc9e346-0f7c-4f4b-8cc0-03c42d7485cd','b3d39c8c-2f1b-4ed8-9e74-6ea9dd5d6c7c'), + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.015848855,0.0167992,-0.007829392,-0.018012721,0.0013734334,0.009693534,-0.031054398,-0.011886641,-0.021580175,-0.027984047,0.013341402,0.022428175,0.0007685013,-0.01638982,-0.028934395,0.022340452,0.010877811,-0.020893002,0.013677679,-0.012420297,0.0017435203,0.018012721,0.01554182,0.007306702,0.0059506306,-0.00026180217,0.008377669,-0.025834803,-0.025790941,0.0031361433,0.012383745,-0.025323078,-0.0077051166,-0.030060189,-0.027516184,0.0052963537,0.008713946,-0.0132609885,0.044944078,-0.0037410753,0.00490525,-0.009050222,0.026302665,0.0139116105,-0.020410517,0.0058226995,0.007668565,0.026127217,-0.01471575,0.0046932492,0.0052524917,0.02965081,-0.008896705,-0.019811068,-0.014503749,0.00839229,-0.009298774,-0.0033481438,-0.0061918725,-0.01370692,0.009116015,-0.005895803,-0.01697465,-0.0073688403,-0.02476749,-0.031376053,-0.00552663,-0.0057166996,0.03128833,0.026054114,0.008253394,0.010526914,0.002651832,-0.0359962,0.019986518,0.02087838,-0.010358776,0.016828442,-0.0028985566,0.004890629,0.033422954,-0.02393411,-0.00023415989,0.0028492117,0.024840593,0.013743471,-0.009488843,0.060705207,-0.0034705922,-0.009145257,0.013465678,-0.0127127115,0.006180907,0.015234785,0.016258234,0.012010917,-0.010095604,0.032165572,0.005998148,-0.022413556,-0.025396181,0.008889395,-0.025893286,-0.009664292,-0.019518655,0.00777091,0.0024617629,0.0056984234,0.015907338,0.029475361,-0.0071933917,0.029314533,0.014759611,-0.022647487,-0.0063453903,-0.025498526,0.020746794,-0.008611601,0.0014885715,0.002986281,-0.0011002087,0.020907622,-0.00031137554,0.0035053163,-0.0010609156,0.03845248,-0.011111743,-0.05397968,-0.019547895,0.009488843,0.014050507,-0.0009540016,-0.0043898695,0.009839741,-0.01535175,0.026448872,-0.005895803,0.0076612546,-0.023056867,-0.017486375,0.013743471,0.026682803,0.02679977,0.007653944,0.010592707,0.032633435,-0.002319211,0.007675875,-0.015658785,-0.01574651,0.021126933,-0.013889679,0.013641126,0.009583878,-0.014087059,0.0055778027,0.000114738345,0.02639039,-0.0017709341,0.014766922,-0.012317952,-0.023817144,-0.010263742,-0.0073359436,0.0036204546,0.0503245,-0.01657989,-0.025440043,0.007829392,-0.016126648,-0.0022680385,0.051464915,0.0011395019,0.010373397,-0.012113262,0.018115066,0.013348713,0.011009398,-0.0030685226,-0.008567738,-0.02659508,0.020585965,-0.001780072,0.004338697,-0.003885455,-0.0010700535,0.020015758,-0.011469951,0.016462924,0.00011616615,0.048423808,0.013312161,0.0022406245,-0.004974698,-0.6077539,-0.02207728,-0.0152055435,-0.011923193,0.031142123,0.011301813,0.01514706,-0.0015909165,-0.0339493,0.040674828,-0.008947877,0.021214657,-0.0029204877,-0.03886186,0.012332573,-0.014818095,-0.025337698,-0.0030374534,-0.0032695574,-0.00050304394,-0.03187316,0.010051741,0.009583878,0.036961168,-0.02516225,0.0054900786,0.004678629,-0.013509541,-0.006378287,0.03766296,-0.032341022,0.016433684,-0.012551883,-0.0008895791,0.03985607,-0.025820183,-0.017325547,0.024913698,0.008297255,0.0103076035,-0.031405296,-0.0076027717,0.01758872,-0.012179055,-0.01984031,0.009839741,0.014057817,-0.02065907,0.004057248,-0.032808885,-0.013195195,-0.025308456,0.010073672,-0.0048284912,-0.010790087,-0.004452008,0.013728851,-0.018012721,0.01593658,-0.0021346244,-0.015600302,-0.025206111,-0.007259185,0.014883888,-0.003954903,0.01941631,0.0034358678,0.007946358,-0.0048577324,-0.037136614,7.921457e-05,0.029913982,-0.014174783,0.016960029,0.019752586,0.010541535,0.037341304,-0.025688596,-0.008677394,0.025907906,0.022340452,-0.017559478,-0.01903617,0.005340216,0.009452292,-0.007401737,-0.02599563,0.010563467,-0.0075515993,0.036697995,0.017705686,-8.9037865e-05,0.025790941,-0.022779074,0.00419249,0.042692486,-0.012529952,-0.013429127,0.01903617,-0.024840593,-0.0066451146,-0.0241388,0.0098105,-0.008757808,0.028744325,0.0031854883,-0.026945977,0.014416025,0.031843916,-0.008501946,-0.019182378,-0.015995061,-0.018699894,-0.041815244,0.011009398,-0.03166847,0.04459318,0.0069813915,0.006038355,-0.010665812,0.03497275,-0.0020395897,0.026171079,-0.01533713,0.024635904,0.03783841,0.004108421,-0.010402638,-0.02106845,0.0069448394,-0.018846102,-0.00062686316,0.03988531,-0.01821741,0.040791795,-0.013348713,0.021565555,0.0013186057,-0.018100444,-0.019518655,-0.011725813,-0.011360295,0.0028693152,-0.022413556,-0.008648152,-0.038306274,0.012778505,-0.0018138824,-0.0055741477,-0.017442513,-0.00449587,-0.017033132,-0.015834235,0.016331337,0.025469285,-0.016243614,-0.0068680807,-0.0049381466,0.0102345,-0.019811068,0.006213804,0.00736153,-0.0030374534,-0.014986233,0.0046749734,0.008509256,-0.0012509848,0.03766296,0.023875628,-0.01248609,0.01043188,-0.013801955,-0.030206397,0.012427608,-0.008699325,0.01861217,-0.011638089,0.002999074,-0.0016027958,-0.034417164,0.015410233,0.0055375956,-0.02007424,-0.018963067,0.03906655,0.0024434868,-0.0034925232,-0.009832431,0.009357258,0.005135526,-0.012968574,0.0072518745,-0.028802808,-0.0011358467,0.010600018,0.011974365,0.0047700084,0.03269192,0.0062722866,0.0143283,0.044271525,0.02601025,0.027896324,0.007924427,0.02416804,-0.04029469,-0.0028199703,-0.008099876,0.0024910043,-0.0021126934,0.016258234,-0.047400355,0.0048138704,5.382822e-05,0.0025129353,0.026565839,-0.008121807,-0.014511059,-0.0245628,-0.011667331,0.02678515,-0.016565269,0.031609986,0.00036620322,0.0088236015,-0.02435811,0.007303047,0.052926987,0.015790371,-0.011850089,-0.00880167,0.014635336,0.0033572817,0.0006510787,0.02311535,-0.015439475,0.007865945,-0.016843064,0.014840025,0.00685346,-0.017033132,0.013853127,0.023232315,-0.01924086,-0.0010709673,-0.0038086963,-0.0009594844,0.0099347755,-0.007924427,0.017018512,0.014182094,0.014291748,-0.0052817333,0.0093864985,0.008282634,-0.014269818,0.00055101817,0.03248723,0.038569447,0.02944612,0.018992309,0.005957941,0.0035436957,0.014087059,-0.014437956,-0.01717934,-0.018392859,-0.0040060757,0.0026445219,0.0010051741,-0.006466011,0.001206209,0.019460171,-0.019767206,0.0050806985,-0.009393809,-0.0018147962,-0.020249689,0.015848855,-0.0028382463,-0.044066835,-0.017471755,0.01389699,0.01022719,8.218441e-05,-0.031551503,-0.0368442,0.019474791,-0.04073331,-0.009547327,0.015190923,-0.0056764926,0.030615777,-0.011630778,-0.01758872,0.0033262125,0.009086774,0.0021565554,-0.01329754,0.02026431,-0.02802791,0.01125795,-0.014255197,-0.023261556,0.02231121,-0.014686508,-0.01105326,-0.003439523,-0.016082786,-0.0014511059,-0.005091664,-0.01165271,0.00048476807,0.021448588,-0.008955188,-0.012171745,-0.03576227,0.0152055435,0.019723345,-0.0058044237,0.009956706,-0.051084775,-0.017661823,0.01941631,0.029373016,0.024796732,0.011740434,0.0045543527,0.0018129686,0.017047754,-0.014803474,-0.026872873,0.012727332,-0.009123326,-0.012939332,0.006992357,-0.010000569,0.012515332,0.036902685,-0.018334376,-0.018992309,-0.035118956,-0.017808031,0.010607328,-0.01837824,0.0036021785,0.019621,0.02741384,0.011930503,-0.00019098309,0.022676729,0.009576568,-0.007240909,0.00089917396,0.00034609972,0.009854361,-0.0070544947,0.022793693,-0.0026554873,0.021916451,0.02760391,-0.017310927,0.010746226,0.0067182183,0.0015826924,-0.0053109745,-0.0011696572,-0.004225387,0.025030663,-0.008341118,-0.030761983,0.038160067,0.00057660445,-0.0070069777,0.013772713,-0.0134510575,0.0058775274,-0.0145622315,-0.003845248,-0.008443463,0.0071714604,-0.023086108,-0.017822651,-0.026346527,-0.036054682,-0.0034596266,0.019694103,-0.024051076,-0.009905534,0.0021145209,-0.02188721,-0.0015059336,-0.021741003,-0.003200109,-0.0040389723,-0.02410956,-0.0054754578,0.036902685,0.0013359678,0.019562516,0.017427891,-0.02640501,-0.0017234167,-0.0056216647,-0.021828728,0.0054535265,0.01392623,-0.008626222,-0.024197282,-0.00035044024,-0.017691065,0.001931762,-0.004539732,0.01349492,-0.01941631,-0.018319756,0.010483053,-0.01452568,-0.0033974885,-0.0074127023,0.0035674544,-0.0030648673,0.0044300766,-0.014452577,-0.0006213804,-0.027106805,-0.02250128,0.008436153,0.01452568,0.0012528124,-0.024811354,0.015790371,-0.0319024,-0.02007424,-0.014423335,0.0033170746,-0.0093864985,0.0023173832,0.011930503,-0.018305134,0.018290514,0.025717838,-0.010161397,-0.009781258,0.023656316,-0.012442228,3.3467728e-05,0.007632013,0.00062594935,0.03237026,-0.0100225,-0.03152226,-0.006082217,0.010249121,0.016492166,0.0127127115,-0.015322509,-0.011842779,-0.020352034,-0.0037794549,-0.021185415,-0.012208297,-0.030440329,-0.01678458,-0.004166904,0.0006136131,-0.008494635,-0.015264026,-0.020600587,-0.014679197,-0.0051647676,0.0034376956,0.018305134,0.0027669703,-0.016930787,-0.011477261,0.00838498,-0.016536029,-0.03985607,-0.009437671,-0.014774232,0.009737396,0.043423522,0.016521407,0.044388488,0.019591758,0.027750116,-0.0003591213,0.008099876,-0.0024983147,0.014145541,-0.014986233,-0.020951483,0.00439718,0.026931357,0.008611601,-0.0032457986,-0.009042912,0.0022442797,0.007401737,0.005343871,-0.02330542,0.0012153469,-0.012690781,-0.011937814,-0.012975885,-0.025483906,0.0010654846,-0.040704068,-0.016258234,0.05599734,0.0018321583,0.0042655934,-0.0013332264,0.0062174588,0.0065975976,0.02108307,0.0120694,-0.005826355,-0.016316717,-0.0003698584,-0.005113595,0.018948447,0.02966543,-0.009898224,0.00023553058,0.0023557628,-0.014160162,-0.008699325,0.016857684,-0.001673158,0.0065427697,-0.01186471,-0.017895754,-0.01862679,-0.0077928407,-0.040996484,-0.020337414,0.01287354,0.023480868,-0.020103483,0.014130921,0.009532706,-0.016199753,0.008874774,-0.008297255,0.020527484,-0.0073140124,0.03538213,0.00623939,-0.000498475,-0.018085824,0.031960882,-0.0050149052,-0.022048037,0.04117193,0.03207785,-0.022559762,-0.009920155,0.018115066,0.039622135,0.024738248,-0.033218265,0.0113237435,0.014277128,0.006155321,-0.017442513,0.017559478,-0.04851153,0.012171745,-0.023276178,-0.0079756,0.015366371,0.004174214,-0.010848571,0.009715465,-0.039505173,-0.0060785622,0.0075515993,-0.018758377,0.0071239434,-0.005007595,-0.024197282,0.022238107,-0.022691349,0.0053548366,-0.007931738,0.0049673878,0.0046895943,0.0019189687,0.026331907,0.004971043,0.007430978,0.029855499,-0.04851153,0.0031964537,0.017617961,-0.0032659022,0.014240576,0.0034285577,-0.01903617,-0.019854931,-0.026273424,-0.008341118,0.01634596,-0.0294315,-0.0139043,-0.013056298,-0.010388018,-0.031726953,-0.03909579,-0.0020688311,0.02003038,0.0021565554,-0.032019366,0.007390771,0.016316717,0.02596639,0.0067986324,-0.01370692,-0.0059798723,0.016302098,-0.007814772,0.026317287,0.034855783,0.008816291,-0.04216614,-0.006707253,-0.0030447638,0.0023557628,0.009920155,-0.03231178,-0.033422954,-0.001232709,-0.0019683137,0.018451342,-0.00705815,-0.0017709341,-0.00016779554,0.0088309115,0.017310927,-0.03049881,-0.021697141,0.05745941,-0.014803474,0.0035126267,-0.0042473176,-0.01922624,0.033715367,-0.02045438,0.018802239,0.044066835,-0.02232583,0.0036752822,-0.0143794725,0.02125852,-0.017252443,0.015439475,-0.035645302,-0.0055924235,-0.017413272,0.013085539,0.018115066,-0.011287192,0.032048605,-0.0024891766,-0.023349281,-0.019679481,-0.035235923,-0.03435868,-0.024709009,0.0030941088,-0.009554637,-0.013992024,-0.008282634,0.02516225,0.024372732,-0.021974934,-0.026068734,-0.002381349,-0.024124179,-0.0016585373,-0.0062174588,0.015995061,0.0047371117,0.019460171,0.010600018,0.034738816,-0.007515047,-0.006875391,-0.016316717,-0.0073103574,-0.012866229,-0.040996484,0.026565839,0.008107186,-0.018963067,0.0029917636,0.022589004,0.001860486,-0.008882084,0.034680337,-0.013516851,-0.007529668,-0.028788187,0.021536313,0.0019646585,-0.003724627,0.0037904202,-0.03237026,-0.003569282,-0.0042034555,0.021580175,0.004108421,-0.014211334,-0.0038744893,0.00777091,-0.006093183,-0.011572296,0.01843672,-0.005204974,-0.02372942,-0.0012637781,-0.0057569062,-0.015980441,0.041610554,0.0237148,0.00839229,0.013187884,0.055061612,-0.035118956,-0.011119054,0.021433968,-0.0043313866,-0.012354504,0.0056106993,0.0060200794,-0.030235639,0.0048833187,-0.011543054,-0.035820752,-0.030060189,0.02416804,0.008165669,-0.03315978,-0.017837271,0.026960598,-0.011075191,0.005194009,0.030323362,-0.00060630275,-0.045996767,0.02147783,0.01024181,-0.0037940755,-0.017924996,0.02495756,-0.00033901783,-0.0132609885,0.04237083,0.17895755,-0.0104903625,0.0037063512,0.044300765,-0.03152226,0.00046055252,0.018305134,0.010548846,0.033130538,0.009496154,-0.021726383,0.007317668,-0.0063161487,0.006264976,0.014569542,0.0007250961,-0.043832902,-0.037107375,-0.023188453,0.007200702,0.0043679387,0.02206266,-0.04231235,-0.026273424,0.00583001,0.01349492,0.0020633484,0.00081556174,0.020366656,0.008648152,-0.010161397,-0.022589004,0.020776035,0.011236019,-0.03231178,0.008224152,-0.0075662197,0.0004925353,0.03666875,0.019270102,0.010885122,-0.0076247025,-0.023086108,-0.0007205271,0.013721541,-0.0022314866,0.010285673,-0.011996296,-0.017150098,-0.0066195284,-0.02106845,-0.0074200127,0.008509256,0.02372942,-0.00470787,-0.0009448637,0.009744707,0.009174499,-0.034738816,0.018714515,0.017120857,0.027633151,-0.005599734,0.0090136705,-0.022603625,0.018480584,-0.031843916,-0.014671887,0.0028291084,-0.02108307,0.015161681,-0.0017965203,-0.0034376956,0.0058629066,-0.0143283,-0.013948162,0.005826355,0.012464159,0.013326782,0.017559478,-0.017939616,-0.027150666,-0.012025538,-0.011974365,-0.01717934,-0.03298433,-0.0056180097,-0.012654228,-0.042604763,0.00025129353,-0.00695215,-0.017939616,-0.018129686,-0.015000854,-0.0167992,0.0045470423,-0.0033846954,-0.0016146752,-0.0020304518,-0.031376053,-0.037370548,0.059447825,-0.007668565,0.008165669,-0.00037671186,-0.02761853,-0.006403873,0.011301813,-0.0094742235,-0.0035126267,-0.014796163,-0.046142977,9.172214e-05,-0.008896705,0.010051741,0.0003413023,-0.008867463,-0.027136046,0.007544289,0.004824836,0.002799867,-0.037136614,-0.009320705,0.004751732,-0.026244182,-0.005767872,-0.023246937,-0.01738403,-0.0022095556,-0.020980725,0.004272904,-0.0015095888,0.028700463,-0.012851608,-0.010497673,0.030235639,-0.013948162,0.0020925899,0.0059396653,0.00020023526,0.0042034555,-0.020045,0.011177536,-0.015161681,0.00879436,-0.028159497,-0.0024361766,0.010132155,0.0060785622,-0.020600587,-0.031639226,-0.021857968,0.008107186,-0.02312997,0.030177156,-0.012200986,0.005658217,-0.009759327,0.012040159,0.010526914,-0.0030685226,-0.0021108657,0.026741287,-0.004280214,-0.0066999425,0.015424854,-0.18995233,0.015468716,0.009678913,-0.009598499,0.007102012,-0.013312161,0.021901831,0.017661823,-0.011002088,-0.0027560047,-0.018071203,0.020118104,-0.02557163,0.00065564766,0.0068169083,0.017924996,-0.009649672,0.021960314,0.009262223,0.008713946,0.029007498,0.012105952,0.015278647,-0.022033418,0.0084580835,-0.00747484,0.000961312,0.036610268,-0.0019756241,-0.009949396,-0.028071772,-0.032896608,0.01614127,-0.00055695785,-0.0036624891,-0.00281266,-0.014021265,-0.018480584,-0.009971327,0.0013012436,-0.004174214,0.024431214,0.0128954705,-0.0011184847,0.014350232,0.012771194,0.00757353,-0.0022515901,0.022983763,-0.0027889013,0.020644449,-0.04193221,0.025337698,-0.004309456,0.010519604,0.008282634,0.015220164,0.02601025,0.004623801,-0.00084617385,-0.040177725,-0.011930503,0.0073249782,-0.02027893,-0.009167188,-0.0023502798,-0.041230414,0.008494635,0.003925662,0.020951483,-0.027136046,-0.0054133194,0.0060493206,-0.007646634,0.022472039,-0.0029387637,-0.047751255,-0.0035199372,0.018392859,0.008501946,-0.01843672,0.04009,0.0013186057,0.03333523,-0.0039183516,-0.0061626313,0.004685939,0.008626222,-0.00033856093,-0.0002572332,0.0084580835,-0.010453811,0.02805715,-0.0062613213,0.029270671,0.018465962,-0.018363617,-0.0064550457,0.02761853,-0.005585113,0.0014218645,-0.014204024,-0.014620715,0.014803474,0.021624036,0.00044044902,-0.019313965,0.015790371,0.02845191,0.0013688644,-0.0241388,0.0006876305,0.014247887,-0.0059067686,0.011484572,0.020542104,-0.020337414,-0.013027057,0.011440709,0.031726953,0.022545142,4.6632085e-05,-0.0093791885,-0.005219595,-0.0047773183,-0.008648152,-0.097666375,0.014913129,-0.0029881087,-0.0029131775,0.020600587,0.026171079,-0.011725813,0.009700844,-0.02232583,0.017281685,-0.014342921,-0.011967055,0.0018239341,0.0012573815,0.052663814,0.0060456656,-0.0010453811,0.00037214288,0.01329754,0.042429313,-0.02250128,-0.01717934,0.0037575236,-0.009605809,-0.010790087,0.034124747,-0.022472039,0.007873255,0.009825121,0.0003872205,0.014138231,-0.028875912,0.022793693,-0.011002088,-0.012822366,-0.012815056,-0.0167992,-0.016448304,-0.004908905,-0.03210709,-0.017500995,0.020015758,0.012325263,-0.020732174,0.018875342,-0.024577422,-0.009868982,0.024899077,-0.008692015,-0.026024872,-0.035323646,-0.0216679,0.0029881087,-0.025220733,-0.01472306,0.010673122,-0.0057569062,0.0143721625,0.00125464,0.013940851,0.0027486943,0.014752301,-0.028130256,0.02147783,0.0003399316,0.011645399,-0.018012721,0.01432099,-0.007021598,0.0013825713,-0.009744707,0.03596696,-0.005855596,-0.02741384,-0.02760391,0.0066378047,-0.03237026,0.0059762173,0.012800436,-0.027677013,-0.021141553,-0.011082502,-0.011294502,0.0132682985,-0.0065318043,0.03029412,0.006915598,-0.0058629066,0.020936863,-0.021580175,0.007917117,0.01554182,-0.001865055,-0.011119054,-0.0065866318,0.022881418,0.014986233,-0.0036350752,-0.0032933159,-0.017617961,-0.058131963,0.005300009,-0.06368783,0.014737681,0.01103864,-0.012149814,-0.01574651,-0.006184562,-0.0017599686,-0.00070910464,-0.020015758,0.014269818,-0.005957941,0.008940567,-0.03558682,0.0075369785,-0.016112028,0.013794645,0.010000569,0.0033993162,0.040791795,0.018129686,-0.010614639,0.012595746,0.03295509,0.012807746,-0.0039878,0.014503749,-0.007036219,0.02886129,0.0009073981,-0.004835801,0.0241388,-0.001691434,-0.02087838,0.0082753245,-0.0059213894,-0.03231178,0.009101395,0.00839229,0.016097406,0.008326497,-0.023539351,-0.016843064,-0.016916167,-0.0039037308,-0.0074163573,0.030732742,-0.00035683683,-0.008282634,0.01984031,0.0040901448,0.032457985,-0.005336561,-0.013319471,-0.016916167,-0.0070142876,-0.020819897,0.00014689249,0.022939902,0.035060473,0.015264026,0.028715083,0.018685274,0.021009967,-0.0070471843,-0.0107681565,-0.0055668373,-0.0001722503,0.03476806,0.0020852794,-0.042253867,-0.02396335,-0.012997815,0.008852843,0.0167992,0.02272059,-0.010322224,0.008735877,0.008882084,0.009971327,0.00038996188,0.008677394,-0.0042436626,-0.019796448,0.029797016,-0.008670084,0.024694387,-0.025644733,0.028510394,-0.0096569825,0.019664861,-0.022033418,-0.0005861993,0.011411468,0.015366371,-0.021156175,-0.0050258706,0.004155938,0.0018339859,0.026551219,0.050646156,-0.015132439,-0.014043196,-0.008355739,-0.032399505,-0.011448019,0.0028254532,-0.010000569,-0.02598101,0.035265163,0.009159878,-0.0095692575,-0.0013478472,0.022559762,0.014598784,-0.0038013859,0.014108989,0.020059621,0.007507737,-0.024080317,0.016302098,0.015439475,0.025893286,0.015366371,0.0006858029,0.013202505,0.002158383,0.0019408999,-0.013516851,0.018509826,-0.009306085,0.0025330388,0.020410517,-0.01103864,-0.016009683,-0.006820563,0.010600018,0.01922624,0.040616345,0.008151049,0.117082685,-0.009978638,0.0059506306,-0.005771527,0.009854361,0.0479267,0.0141894035,0.023173833,-0.048423808,-0.0138238855,0.037136614,-0.0066341492,-0.012398366,-0.034504887,-0.009766637,0.007697806,-0.01432099,0.028715083,-0.036931925,0.011184847,-0.008428842,0.016813822,0.022135762,-0.006963115,-0.024065696,-0.004459318,0.044710144,0.010256431,-0.009232981,-0.0050222157,-0.009715465,-0.008713946,-0.009042912,-0.021843348,-0.008516566,-0.014416025,-0.0008904929,0.0011532089,0.03415399,-0.012244849,-0.0013487609,-0.0020633484,0.0012738297,0.008406911,0.0036515235,-0.017881135,-0.02067369,-0.017267063,-0.020469]','provide the total population of Mali using HDX data as text','{"mem_type": "memory", "custom_id": "cdec3c66-84e7-40b7-9931-b83b7c99a5b8"}','cdec3c66-84e7-40b7-9931-b83b7c99a5b8','75d9d3bd-8fe9-4b10-820d-0d3be7ff2b43'), + ('339fcbd8-5e48-4ea2-8db9-ceb271c20b7d','[-0.018965894,-0.014102844,-0.022498757,-0.00745906,-0.005281415,0.0041908044,0.00043132747,-0.041164286,-0.023886155,-0.035242807,0.015747698,-0.0062576006,-0.015118363,0.004376745,-0.012064654,-0.0008130411,0.018279346,0.0033236798,0.0061503276,-0.021940935,0.016105276,0.018150618,0.023814641,-0.027419018,-0.011056286,-0.011199317,0.0017789465,-0.01880856,-0.017206613,0.005510264,0.0008961778,-0.008767792,-0.0021311599,-0.030293938,-0.0017208401,-0.003584711,-0.011492531,-0.0034881653,-0.004934565,0.0043981993,0.014775089,-0.01765001,-0.0010110495,0.011850107,-0.010863194,0.006143176,0.002034614,0.0012068229,-0.009232643,0.0014535512,0.021511843,0.007190877,-0.010012161,-0.018851468,0.008109851,0.026517924,0.0027783746,0.027562048,-0.003994137,-0.0034988928,0.019752564,0.03155261,-0.048315827,0.008438821,0.00061101,-0.008581853,0.005560325,-0.01468927,-0.010462708,0.008689125,0.006500753,0.0106629515,-0.0082528815,9.2858325e-05,-0.0018021889,-0.01255811,0.011914471,0.015433031,-0.0013882933,0.0010316102,0.019824078,-0.013216052,-0.0139097525,0.03424159,0.0041085617,0.025373677,-0.0028552539,0.019094622,-0.0015170212,-0.008910824,0.015647577,0.019309167,-0.0021597662,-0.020739477,-0.018694134,-0.005917902,-0.02116857,0.025960103,-0.010784527,-0.030408364,-0.026861198,0.0060394784,-0.027733685,-0.0101766465,-0.037788756,-0.0026603742,-0.008095548,-0.020839598,0.030580001,0.014589149,-0.01551885,-0.0016672036,0.00986913,-0.026060225,-0.0075162724,-0.0166774,-0.027404714,-0.03961955,-0.028506052,-0.03252522,0.01269399,0.017592797,0.017135099,-0.017549887,0.01306587,0.013401993,-0.026932713,-0.0024941007,0.00783094,0.013566478,0.03229637,0.008903672,0.023743125,0.0070049367,-0.033297587,0.017135099,-0.0031538308,0.008968036,0.015404425,-0.00576772,-0.00023242517,0.024587007,-0.029693209,-0.0009270188,-0.012436534,0.03610099,0.0020274627,0.004855898,-0.012672535,-0.012872779,0.0054387487,-0.024515491,0.01913753,-0.0108774975,0.011850107,-0.006500753,-0.010834589,0.0077451216,-0.026403498,-0.006690269,0.014510482,-0.014846604,-0.000799632,-0.02329973,-0.010362587,0.030723032,0.0291926,-0.0122577455,-0.0035149837,-0.007888152,0.0038081969,0.015905032,-0.021526147,0.009103915,0.0026264044,-0.0009770796,0.0044732904,0.013401993,-0.009790463,0.03178146,-0.025559617,-0.015804911,0.028720599,0.017034978,-0.017292432,-0.026832592,-0.0029786178,-0.00051938085,-0.039505128,0.00085773825,0.015876427,0.005839235,0.0061288727,0.014775089,-0.6426091,-0.00940428,0.014889514,0.0012390049,0.021611964,0.036673114,-0.009561614,-0.011900169,-0.0088750655,0.0037795908,-0.007895304,2.6902095e-05,0.008510337,-0.00815276,0.024873069,-0.01649146,0.0045412304,-0.019938504,-0.006582996,0.038246457,-0.02913539,0.02232712,0.00068923,0.008789247,0.0046735336,-0.0075591817,-0.010355435,-0.042794835,-0.012028896,-0.0018012951,-0.026117437,0.03080885,-0.020625051,-0.01955232,0.046170365,0.0031055578,-0.023385547,0.010326829,0.023814641,0.04925983,-0.018465286,-0.00889652,0.034584865,0.010455556,-0.019924201,0.00071247254,0.029779028,0.029521571,-0.015461637,-0.0031413154,0.01626261,-0.008381609,-0.015433031,-0.0013596872,0.027004229,-0.0062111155,0.022541665,-0.027404714,0.013437751,0.005556749,0.016434247,0.01630552,-0.017678617,-0.00551384,-0.009468644,0.007097907,-0.0044375327,0.0017565979,0.00077638944,-0.03281128,0.0069799065,0.005435173,0.018851468,0.023828942,0.00017465411,0.00035735368,0.028191384,0.00632554,-0.007451908,-0.0010146252,0.001019095,-0.0017369312,-0.02621756,-0.019037409,0.026203256,0.018322255,-0.010519921,-0.018737044,0.0050239596,0.015747698,0.0035686202,0.0101766465,-0.01107059,-0.004165774,-0.015304303,-0.0066402084,-0.021197176,0.021754995,0.023886155,-0.036215417,-0.00059670693,0.0031091336,0.026632348,-0.0022062513,0.016505763,0.013087325,-0.0061825095,0.031295154,0.016477156,-0.008639065,0.0060108723,-0.009854827,-0.011657016,0.0013355508,-0.0039869854,-0.03598657,0.0057748714,-0.00319674,-0.017292432,0.0063827527,0.035786323,-0.011821502,0.008703428,-0.0017717949,-0.0066974205,0.024958886,-0.0042837746,-0.0039512278,-0.007316029,-0.0045233513,0.04087822,-0.0067296023,0.0012801263,-0.012722596,0.00470214,0.0076235454,0.004383896,-0.014646362,0.019809775,-0.029779028,0.022942152,0.013316174,-0.0040012887,-0.009189733,0.009847675,-0.008209972,0.026861198,0.00175481,-0.027876716,-0.011063438,0.012036048,0.010434102,-1.4568476e-05,-0.0024011307,0.031667035,0.0069763307,-0.0016734612,-0.009947797,-0.007037119,-0.023728821,0.0068833604,0.015504546,-0.0038975913,-0.0050990507,0.018779954,-0.03109491,-0.012980051,0.0035346504,-0.007881001,-0.028949449,0.03455626,-0.03035115,-0.012050351,0.02646071,-0.01566188,0.037702937,-0.03358365,0.0099835545,0.009297007,0.0047986857,0.001267611,0.019609533,0.00039892204,0.015919335,-0.0018397346,0.0119073205,-0.0013292931,0.030723032,-0.017406857,0.01843668,-0.029578784,0.0061324486,0.020067232,-5.15414e-05,0.009654583,0.0024172217,-0.008024032,0.021611964,-0.01315884,-0.008324397,0.015204182,-0.0035543172,0.0020256748,-0.02348567,-0.0068261484,-0.036730327,-0.00078443496,-0.027790898,0.010741618,0.011864411,0.024772948,-0.034298804,-0.021769298,-0.0046306243,0.0063398434,0.036730327,-0.00032830055,-0.003665166,-0.020882508,0.009583068,0.03140958,-0.0026031618,0.010856044,-0.001364157,-0.006268328,0.03035115,-0.00050552475,0.006761784,0.007752273,-0.013044415,-0.030007876,0.020810992,-0.010133737,0.01640564,0.035929356,0.0025048282,0.009661735,-0.024315247,0.008538943,0.0097690085,0.0061181453,0.02524495,0.016562974,0.0074948175,-0.0053064455,-0.004859474,0.010755922,0.011964533,-0.013952661,0.0352142,-0.01255811,0.006865482,-0.03738827,0.0076163937,0.00097529177,-0.006093115,-6.648701e-05,-0.003259316,0.017764434,0.030236727,0.026517924,0.02729029,0.005202748,0.0070621492,0.014424663,-0.0117714405,-0.008302942,0.014174359,-0.02033899,9.241135e-05,0.006250449,-0.031466793,0.005910751,-0.015418728,-0.0058356593,-0.0025441616,-0.009997858,0.021440327,-0.0012354292,0.011242227,-0.012894233,-0.019909898,0.0194522,0.01450333,0.014846604,-0.007351787,-0.026818288,0.005227778,-0.00632554,0.0030125878,0.022041056,0.008488882,0.036673114,0.0018969469,-0.0038153485,0.0042658956,0.037273847,-0.021054145,-0.012500898,0.021097053,-0.022713302,-0.008646216,-0.013781024,0.0065758443,0.035614688,-0.0013427023,-0.009854827,-0.009761857,0.003711651,-0.016391337,-0.013173143,0.013280417,0.0053922636,-0.00092165516,0.0023886156,-0.008839308,-0.012078957,0.0052563846,0.008989491,0.015490243,-0.016362732,-0.047715098,-0.016949158,0.04522636,0.016062368,0.004963171,-0.013173143,0.00049122167,-0.0016493248,0.017292432,-0.015204182,-0.020067232,-0.011499682,-0.00435529,0.0031377398,-0.010233859,0.0069548762,-0.0030751638,0.003225346,-0.015347213,0.0014651725,-0.019394986,-0.0029768301,-0.024157913,-0.0058177807,0.0034738623,-0.002851678,0.013373386,0.029607391,0.0034094984,0.027090047,0.011900169,-0.0075591817,-0.019838382,-0.014553391,0.0060359025,0.006758209,0.017492676,0.008109851,0.013838237,0.035242807,0.014431815,-0.005124081,0.01033398,0.005842811,0.007816637,0.0015965821,0.000548434,0.017220916,-0.010498466,-0.020167353,0.026146043,0.005295718,-0.0050668684,0.0052349297,0.027619261,-0.015261394,-0.014875211,0.020167353,0.0042694714,-0.021325903,-0.018379467,-0.025759859,-0.05300724,-0.016834734,0.011428166,0.03020812,-0.0018209618,-0.010691558,0.0016850824,-0.053436335,-0.00040316826,-0.0071980287,0.016162489,-4.5814577e-05,-0.008503186,-0.019237652,0.018522497,0.006221843,0.031295154,0.0012005654,0.002368949,-0.0053064455,0.011993138,-0.027905323,-0.010856044,0.008581853,-0.018851468,-0.0140456315,0.00078085915,0.0021186448,-0.022198392,0.014109995,0.023013666,0.013802479,0.021011235,0.032410797,-0.010326829,0.02538798,-0.01116356,0.00745906,0.013487811,-0.013602236,-0.0030608606,0.0030447696,0.0037831666,-0.020825295,-0.005013232,-0.018365163,0.016348429,0.0060823876,0.015404425,-0.009389977,0.010949013,0.03776015,0.00257098,0.015762001,0.008453124,-0.019852685,0.009797615,-0.004022743,0.0068189967,-0.014245875,-0.010512769,-4.5479348e-05,-0.02251306,0.010276768,0.0068690577,-0.025545314,0.010970468,-0.006361298,-0.023199607,0.014989635,-0.003711651,-0.019709654,0.026775379,-0.020639354,0.0058034775,-0.033926923,-0.017821647,-0.006679542,0.029664602,0.0048308675,-0.011442469,-0.017707221,-0.015962245,-0.01644855,0.017478373,0.0043445625,-0.02534507,0.011571198,-0.032553826,0.006093115,0.03455626,0.023657305,0.00019946102,-0.01375957,-0.019280562,-0.042051077,-0.01325181,-0.018851468,0.010519921,0.018708438,0.02840593,0.049746137,-0.009454341,-0.011399561,-0.012479443,-0.002086463,0.010248162,-0.005377961,0.007097907,-0.017492676,0.011599803,0.034813713,-0.006379177,-0.0066938447,-0.014202965,-0.00632554,0.01640564,-0.008231427,-0.0148036955,-0.010262465,-0.016033761,-0.0037402574,0.0035471655,0.010813134,0.029693209,0.008159911,0.0014794755,0.018937288,0.008867914,0.0194665,0.0029267692,0.03924767,-0.030751638,0.015490243,-0.014832301,-0.0029857694,-0.0075591817,0.001268505,-0.012500898,-0.034956746,0.0020274627,0.0007848819,-0.0005707826,0.012214837,-0.007473363,-0.018994499,-0.0038975913,-0.018922985,-0.008310094,-0.028248597,0.00041635393,-0.026517924,-0.006397056,-0.029893452,0.034212984,-0.0020936143,0.004920262,-0.008546094,0.028949449,-0.0063863285,-0.0086033065,-0.028749205,-0.04554103,0.038704153,0.018708438,0.027204473,0.021526147,0.008167063,-0.019194743,0.0018048708,0.000704427,-0.017535584,0.006597299,0.026660955,0.0027694353,-0.016605884,0.011092044,0.006429238,0.0012247019,-0.02909248,0.014388906,-0.00026416013,0.0062146913,-0.027376108,-0.013645145,-0.016505763,0.014946726,-0.032496613,0.007069301,0.013630842,-0.010548526,-0.047228795,0.033440616,-0.03804621,0.024014883,0.012329261,-0.01125653,0.013237507,-0.01362369,-0.014975333,0.018965894,0.006504329,0.017006371,0.0062075397,0.007097907,-0.0054387487,-0.003481014,-0.011206469,-0.0023725245,0.020324687,0.031438187,-0.0016949158,-0.004022743,0.010412647,-0.0021830087,0.015604668,-0.008732035,-0.017349645,-0.00020661256,0.0037402574,-0.0061860853,0.0076092426,-0.0018012951,-0.0028123446,-0.009604523,0.005156263,0.0023921912,-0.031895883,-0.010026464,-0.0058678417,-0.0045018964,-0.007255241,-0.024587007,-0.0010441254,0.0130158095,0.0073589385,-0.002867769,-0.0022849182,0.001222914,-0.034642078,0.020653658,-0.009375674,-0.0050990507,-0.011921623,0.01644855,-0.03163843,0.018551104,0.007140816,-0.0014857332,-0.013401993,-0.006708148,0.021740692,0.00076655607,0.014403209,-0.016105276,0.015218485,0.002149039,0.016963461,-0.006565117,-0.02141172,0.017206613,0.010248162,0.005095475,0.020696567,0.0004259638,0.023600094,0.014860908,0.022269906,0.023557184,-0.00065749505,0.014253026,-0.020925416,0.041450348,-0.011349499,-0.01213617,0.00072811655,-0.0022616757,0.0042551686,0.0029249813,0.00783094,-0.01250805,0.006093115,0.02904957,0.011621258,0.021240084,-0.00088768534,0.011127802,-0.048716314,-0.010927559,-0.0044125025,-0.02983624,-0.02232712,0.008589004,0.022842031,-0.018908681,-0.029607391,0.0032324977,-0.0030018603,-0.033984136,-0.017306736,0.0045984425,0.0024082824,-0.017292432,-0.014703574,0.01843668,-0.018422376,0.016977765,0.014775089,-0.017034978,0.015990851,-0.0005980478,0.0036901964,-0.012078957,-0.037445482,-0.027619261,0.024072096,0.006146752,0.012164775,-0.00014068426,-0.005406567,0.01019095,-0.0236287,-0.015919335,0.016334126,0.00576772,0.023528578,-0.019638138,-0.02135451,0.0049274135,0.0034130742,0.0075734844,-0.0043481383,0.01167847,0.016949158,0.0017905678,-0.00639348,-0.019538017,-0.017549887,0.00064632075,0.017535584,-0.024529794,0.011800047,0.014024177,0.0076235454,-0.015762001,-0.0019327046,-0.015089757,-0.024787249,-0.009690342,0.009139673,-0.031352367,-0.00048183525,-0.0082528815,-0.005735538,0.0023582214,0.04425375,0.0021704934,-0.012550959,0.004562685,0.00023488351,0.025073312,-0.001957735,-0.02205536,0.011449621,-0.025416587,-0.006679542,-0.011328045,-0.004559109,-0.026603742,-0.011764289,-0.007162271,-0.027447624,-0.03987701,0.009425734,0.0048487466,0.016048064,0.023600094,0.22278489,-0.030036483,-0.040992647,0.032954313,-0.0018048708,-0.02335694,-0.014345996,0.0058034775,-0.00880355,-0.004040622,-0.0065150564,-0.011642713,-0.0045662606,0.0034506198,-0.01913753,0.02145463,-0.045197755,-0.022942152,0.0036526509,-0.0047271703,0.026432104,0.0105270725,-0.01551885,-0.011156408,0.027090047,0.0002710882,-0.008417367,-0.0023278275,0.023242516,0.016520066,-0.008674823,-0.020224566,0.0075663333,0.015447334,0.0021847966,0.0029088904,0.0044089267,-0.008031184,0.039304882,0.010169495,-0.014775089,-0.009468644,0.012615323,-0.0068726335,-0.026703864,-0.020038625,-0.00820282,-0.0026871925,0.019723957,0.016691703,-0.026875501,-0.0048058373,0.013130234,0.004998929,-0.009783312,-0.0025155554,0.034642078,0.020167353,0.004845171,-0.0150182415,-0.004530503,0.054408945,-0.022956455,0.015733397,-0.021197176,-0.016362732,-0.010620042,-0.04531218,0.021468934,0.0133662345,0.031380974,-0.023042273,-0.0056425678,0.017020674,-0.0029893452,-0.017878858,-0.0059500844,0.017964678,0.022441544,0.019266259,0.0013364448,0.016562974,-0.019051712,-8.950604e-05,-0.008209972,-0.033326194,0.013144537,0.0038225001,-0.037331056,-0.0063040857,0.004294502,0.0015572486,-0.032353584,0.005345779,0.020510627,0.014660664,-0.0055710524,0.011943078,0.00090914,-0.0002108588,-0.005889296,0.015547455,0.0067760875,0.020868205,-0.017764434,-0.017549887,-0.0042658956,-0.00912537,0.007473363,-0.003368377,-0.0028230718,-0.029779028,-0.0077451216,0.0014553391,-0.016205398,0.003994137,-0.01584782,-0.013444901,0.0077022123,0.017020674,-0.010090828,-0.005910751,0.0047772313,0.016062368,-0.020238869,-0.0037509846,-0.007816637,-6.4196276e-05,0.0022044634,-0.055610403,0.013709509,-0.021826511,0.004891656,-0.0012059291,0.017092189,0.010691558,-0.0010396556,0.0039726826,-0.030379757,0.004455412,0.0036866206,-0.020138746,0.02339985,-0.007816637,0.010047919,-0.013788176,-0.0008814277,0.0060251756,-0.013030113,0.0027712232,0.0079811225,-0.028091263,-0.014403209,0.00674033,0.023242516,-0.023843246,-0.033812497,-0.03020812,0.014946726,-0.004591291,-0.032239158,-0.012515201,0.019380683,0.011842956,-0.03504256,-0.011428166,-0.18639784,0.015962245,0.0020167353,-0.049460076,0.022441544,-0.005231354,0.01640564,0.0081742145,0.0071336646,-0.007040695,0.013552175,0.004591291,-0.03261104,-0.03504256,0.002524495,-0.015490243,0.00773797,0.019495107,0.022198392,0.012207685,0.053350516,0.005610386,0.006965603,-0.0093613705,0.016748914,-0.011606955,-0.0042587444,-0.007223059,0.0053279,0.007966819,0.00685833,-0.0059465086,0.03349783,-0.0033272556,0.016706007,-0.012064654,0.004180077,0.01750698,-0.005424446,0.011378106,0.0049595954,0.054551974,0.031295154,0.018007586,0.0010047918,-0.026446408,0.011392409,-0.036158204,-0.0039226217,-0.022698998,0.021468934,-0.018236436,0.011335197,-3.3103825e-05,0.026117437,0.011099196,0.010026464,-0.01551885,0.0034077105,-0.0041335924,-0.0009806554,-0.026575135,0.015804911,-0.008631913,-0.02445828,-0.020911112,-0.024243733,0.019380683,0.007451908,0.015947942,-0.015461637,0.015576062,-0.008209972,0.015561759,0.020396203,0.011406712,-0.027504837,0.0050990507,0.016663097,-0.030236727,0.0019040984,0.0152900005,-0.008438821,0.02631768,0.014195814,0.023700215,0.0044732904,-0.005217051,-0.020038625,-0.009833372,0.02946436,-0.02553101,-0.00074644235,-0.002520919,-0.014875211,0.0057534166,0.007537727,0.015433031,0.023013666,-0.015905032,0.0050382623,0.012200533,-0.024615614,0.03512838,0.020453414,-0.0222413,-0.0072051804,0.033526435,0.030093696,-0.023099486,-0.016105276,0.029020963,-0.006550814,0.009332764,-0.0065579657,0.035929356,-0.006060933,-0.013580781,0.025173433,0.037016388,0.006043054,-0.002649647,0.012415079,0.0041765017,-0.017135099,0.017707221,-0.09943506,-0.034127165,0.019266259,-0.015146969,-0.02714726,0.03484232,0.014253026,-0.005689053,-0.016777521,0.017821647,0.0026424953,-0.029693209,-0.01959523,-0.0007142604,0.023728821,0.026246164,-0.022770515,-0.016734611,0.006518632,0.02743332,-0.0063362676,0.0038225001,0.012922839,-0.0038117727,-0.014295936,0.028935146,0.00033455814,0.020911112,0.0066402084,-0.010498466,0.009997858,-0.0068869363,-0.017635707,-0.022584574,-0.0052242028,-0.006786815,-0.015862124,0.008353003,0.012994355,-0.029407147,-0.0024351005,-0.02422943,0.031581216,-0.032696858,-0.004351714,0.0051312326,-0.027118653,0.0090896115,0.017435463,-0.014581997,-0.006472147,-0.010291072,-0.013931206,0.0031395275,0.031009093,-0.0010566405,0.0039405003,-0.00016839651,-0.016205398,0.0005470931,-0.015590365,-0.019938504,-0.025330767,0.019824078,0.012586717,0.0012068229,-0.01408139,-0.021840815,0.0043660174,-0.0066688145,0.010763073,0.01825074,-0.03987701,-0.00074420753,-0.005535295,-0.0016636278,-0.005324324,-0.0070120883,0.025187736,-0.025259253,0.0072838473,-0.014875211,-0.002334979,-0.000720071,0.0245584,0.008538943,0.017292432,0.007931062,-0.027805202,-0.054695006,-0.014817998,0.0021400994,0.023314033,-0.0128799295,-0.02904957,0.025473798,-4.1484538e-05,-0.0026997076,0.018293649,0.010126586,-0.026603742,0.0010137314,-0.05729817,0.007094331,0.00062888884,0.0008130411,-0.015533153,-0.00940428,-0.0010047918,-0.035071168,-0.027776595,0.0203819,-0.031352367,-0.003665166,0.006597299,0.012872779,0.0079024555,0.0016242943,0.025559617,-0.011020528,0.013537872,-9.91718e-05,-0.016148185,0.027347503,0.03941931,0.010205253,-0.020768082,0.010949013,-0.02511622,0.014624907,-0.005124081,-0.006661663,0.0022992212,-0.031752855,0.0016573702,0.036301237,0.007040695,-0.024057792,0.0064328136,0.01348066,0.02923551,0.003198528,-0.019766867,-0.023900459,0.0090896115,-0.011034831,-0.013208901,0.008317245,0.0010754133,0.00551384,-0.003933349,0.010898952,0.026832592,0.01371666,-0.0013873995,-0.034642078,-0.005231354,-0.008553246,0.011499682,-0.008381609,-0.0058070533,-0.0152327875,0.016205398,0.0074805147,0.033240374,-0.016663097,-0.011456773,0.004659231,-0.0003182437,-0.01584782,0.04456842,-0.03650148,-0.011513985,0.009490098,-0.0035972265,0.008681973,0.0028945873,-0.015690487,-0.023428457,0.030007876,0.0006065403,0.007083604,0.0031538308,-0.004165774,-0.021712087,0.03306874,0.010913256,0.005703356,-0.016748914,0.011614107,0.007838092,-0.008124153,-0.029779028,0.02251306,0.012107563,0.002290282,0.021325903,0.021898026,-0.004762928,-0.009933494,0.030379757,-0.0058356593,0.026646651,0.015447334,-0.0025191312,-0.0061968123,-0.0050311107,0.011692774,-0.013981268,-0.03858973,-0.0067796633,-0.008224275,0.010798831,-0.0099048875,0.027747989,0.02154045,-0.036215417,-0.009647433,-0.0113423485,-0.009811917,-0.025716951,0.013709509,-0.0018665529,0.007580636,3.033819e-05,0.015833518,0.02325682,0.029664602,0.01663449,0.002304585,0.03192449,-0.009561614,-0.011220772,-0.0033093768,-0.005735538,-0.014932423,-0.025688345,-0.013981268,0.011492531,0.013022961,-0.053951245,0.08312954,0.022498757,-0.014496178,-0.0076736063,0.007988274,0.036844753,0.02520204,0.0069763307,-0.014560543,-0.036844753,0.013630842,0.0025119798,0.004298078,-0.02923551,-0.010569981,-0.016148185,-0.0064399648,-0.009368522,-0.010233859,-0.018007586,0.014417511,-0.004433957,0.0030483454,-0.010319677,-0.018293649,-0.015719093,0.03552887,-0.016033761,0.014489028,-0.056697436,0.008717732,0.016048064,-0.024200823,-0.022670394,0.011764289,-0.016162489,0.013101628,0.009082461,0.023314033,0.011728532,0.0043481383,0.015733397,-0.01218623,-0.0013391265,-0.005628265,0.009633129,-0.014167208,0.004716443,-0.02164057]','retrieve all recipes','{"mem_type": "memory", "custom_id": "d35775fd-db0b-47c1-84c0-2c5006c23fbe"}','d35775fd-db0b-47c1-84c0-2c5006c23fbe','93c108d1-68bb-4193-900a-a92d25cd8a2f'); diff --git a/db/recipedb/4-demo-data-recipes.sql b/db/recipedb/4-demo-data-recipes.sql index 7706637b..3e7a7cda 100644 --- a/db/recipedb/4-demo-data-recipes.sql +++ b/db/recipedb/4-demo-data-recipes.sql @@ -1,88 +1,75 @@ -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('f8ae80df-2db7-47ba-b00a-894bf166331a', ' -import sys -import os -import requests -import pandas as pd -from skills import * - - -# filename: plot_events_by_month.py +INSERT INTO public.recipe ("custom_id","function_code","description","openapi_json","datasets","python_packages","used_recipes_list","sample_call","sample_result","sample_result_type","sample_metadata","source","created_by","updated_by","last_updated","approval_status","approver","approval_latest_update","locked_by","locked_at") VALUES + ('df2123ed-60e0-40ef-b515-0131767ffecf','# filename: refugee_migration_sankey.py import os +import json import pandas as pd -import matplotlib.pyplot as plt +import plotly.graph_objects as go from dotenv import load_dotenv -import json from skills import get_connection, execute_query, get_hdx_dataset_url # Load environment variables load_dotenv() +# Function to get refugee migration data -def get_events_data(country_code): - """ - Fetch events data by month for a given country. - - Args: - country_code (str): ISO3 country code. - - Returns: - pd.DataFrame: DataFrame containing events data. - """ +def get_refugee_migration_data(country_code): query = f""" SELECT - reference_period_start, - SUM(events) as total_events + origin_location_name, + asylum_location_name, + population FROM - hapi_coordination_context_conflict_event + hapi_affected_people_refugees WHERE - adm0_code = ''{country_code}'' - AND reference_period_start >= ''2008-01-01'' - GROUP BY - reference_period_start - ORDER BY - reference_period_start + asylum_location_code = ''{country_code}'' + AND gender = ''all'' + AND age_range = ''all'' + AND latest = TRUE """ + print(''Executing query:'', query) data = execute_query(query) - if not data: - raise ValueError(''No data found for the given country code.'') - df = pd.DataFrame(data, columns=[''reference_period_start'', ''total_events'']) - return df - + print(''DEBUG INFO - Length of data is:'', len(data)) + return data -def plot_events_by_month(country_code, output_path=''./work/events_by_month.png''): - """ - Plot a line chart of events by month for a given country. +# Function to create a Sankey plot - Args: - country_code (str): ISO3 country code. - output_path (str): Path to save the output image. +def create_sankey_plot(data, country_name): + if not data: + print(''No data available to create the plot.'') + return None - Returns: - str: Path to the saved image. - """ - df = get_events_data(country_code) + df = pd.DataFrame(data, columns=[''origin_location_name'', ''asylum_location_name'', ''population'']) - # Convert reference_period_start to datetime - df[''reference_period_start''] = pd.to_datetime(df[''reference_period_start'']) + # Create labels + all_locations = list(pd.concat([df[''origin_location_name''], df[''asylum_location_name'']]).unique()) + label_to_index = {label: idx for idx, label in enumerate(all_locations)} - # Format the x-axis labels to show only yyyy-mm - df[''reference_period_start''] = df[''reference_period_start''].dt.to_period(''M'').dt.to_timestamp() + # Create source and target indices + df[''source''] = df[''origin_location_name''].map(label_to_index) + df[''target''] = df[''asylum_location_name''].map(label_to_index) - # Plotting - plt.figure(figsize=(12, 8)) - plt.plot(df[''reference_period_start''], df[''total_events''], linestyle=''-'') - plt.title(f''events by Month for Chad'') - plt.xlabel(''Month'') - plt.ylabel(''Total events'') - plt.grid(True, which=''both'', axis=''both'') - plt.xticks(pd.date_range(start=''2008-01-01'', end=df[''reference_period_start''].max(), freq=''6M'').to_period(''M'').to_timestamp(), rotation=90) - plt.tight_layout(rect=[0, 0, 1, 1]) # Adjust layout to shift x-axis labels - plt.savefig(output_path) - plt.close() + # Create the Sankey plot + fig = go.Figure(data=[go.Sankey( + node=dict( + pad=15, + thickness=20, + line=dict(color=''black'', width=0.5), + label=all_locations + ), + link=dict( + source=df[''source''], + target=df[''target''], + value=df[''population''] + ) + )]) - return output_path + fig.update_layout(title_text=f''Refugee Migration to {country_name}'', font_size=10) + # Save the plot as a PNG file + file_path = ''./work/refugee_migration_sankey.png'' + fig.write_image(file_path) + return file_path def get_attribution(country_code): """ @@ -96,8 +83,13 @@ def get_attribution(country_code): """ query = f""" SELECT DISTINCT resource_hdx_id - FROM hapi_coordination_context_conflict_event - WHERE adm0_code = ''{country_code}'' + FROM + hapi_affected_people_refugees + WHERE + asylum_location_code = ''{country_code}'' + AND gender = ''all'' + AND age_range = ''all'' + AND latest = TRUE """ data = execute_query(query) if not data: @@ -106,46 +98,61 @@ def get_attribution(country_code): hdx_url, data_url = get_hdx_dataset_url(resource_id) return {''hdx_url'': hdx_url, ''data_url'': data_url} +def get_date_range(country_code): + query = f'''''' + SELECT MIN(reference_period_start) as start_date, MAX(reference_period_end) as end_date + FROM + hapi_affected_people_refugees + WHERE + asylum_location_code = ''{country_code}'' + AND gender = ''all'' + AND age_range = ''all'' + AND latest = TRUE + '''''' + data = execute_query(query) + if not data: + print(''No date range found for given parameters.'') + return None + return data[0] -def generate_events_report(country_code): - """ - Generate a report of events by month for a given country. - - Args: - country_code (str): ISO3 country code. +# Main function to get data and create the plot - Returns: - dict: JSON object containing the report. - """ - try: - image_path = plot_events_by_month(country_code) - attribution = get_attribution(country_code) +def generate_refugee_migration_sankey(country_code, country_name): + data = get_refugee_migration_data(country_code) + file_path = create_sankey_plot(data, country_name) + attribution, data_url = get_attribution(country_code) + date_range = get_date_range(country_code) + if file_path: result = { "result": { "type": "image", - "file": f"{image_path}" + "file": f"{file_path}" }, "metadata": { "params": { - "country_code": f"{country_code}" + "country_code": f"{country_code}", + "country_name": f"{country_name}" }, - "attribution": f"{attribution[''hdx_url'']}", - "data_url": f"{attribution[''data_url'']}" + "attribution": f"{attribution}", + "data_url": f"{data_url}", + "time_period": { + "start": f"{date_range[0]}", + "end": f"{date_range[1]}" + } } } print("OUTPUT:") print(json.dumps(result, indent=4)) return result - except Exception as e: - print(f''Error: {e}'') - return {''error'': str(e)} - -', 'plot a line chart of conflict events by month for a country using HDX data as an image', '{}', '{HAPI}', NULL, NULL, ' country_code = ''TCD'' # Example country code - generate_events_report(country_code) - - -', '"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"', 'image', '{"params": {"country_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx"}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('cd574bec-d5a5-4894-abff-df4b204ef6fe', ' + else: + return {''error'': ''Failed to create the Sankey plot.''} +','create a sankey plot of refugee migration by country for Kenya using HAPI data as an image','{}','{HAPI}',NULL,NULL,' params = { + ''country_code'': ''KEN'', + ''country_name'': ''Kenya'' + } + generate_refugee_migration_sankey(**params) +','"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"','image','{"params": {"country_code": "KEN", "country_name": "Kenya"}, "attribution": "hdx_url", "data_url": "data_url", "time_period": {"start": "2022-01-01", "end": "2022-12-31T00:00:00"}}','Recipe Manager','matt','matt','2024-06-16 22:59:25.385336','approved','matt','2024-06-16 22:59:25.385336+00','',''), + ('1cd0ae66-0095-40de-b94b-30ae30d933ac',' import sys import os import requests @@ -153,202 +160,186 @@ import pandas as pd from skills import * -# filename: plot_food_price_vs_fatalities.py +# filename: food_security_analysis.py -import os import pandas as pd -import matplotlib.pyplot as plt from dotenv import load_dotenv +from skills import execute_query, get_hdx_dataset_url import json -import seaborn as sns -from skills import get_connection, execute_query, get_hdx_dataset_url # Load environment variables load_dotenv() +# Define reference period start and end +reference_period_start = ''2023-01-01'' +reference_period_end = ''2023-01-31T23:59:59'' + -def get_fatalities_data(country_code): +def get_food_security_data(country_code, ipc_phase): """ - Fetch fatalities data by month for a given country. + Fetch food security data for a given country and IPC phase. Args: - country_code (str): ISO3 country code. + country_code (str): The ISO3 code of the country. + ipc_phase (str): The IPC phase to filter by. Returns: - pd.DataFrame: DataFrame containing fatalities data. + pd.DataFrame: DataFrame containing food security data. """ query = f""" - SELECT - reference_period_start, - SUM(fatalities) as total_fatalities - FROM - hapi_coordination_context_conflict_event - WHERE - adm0_code = ''{country_code}'' - AND reference_period_start >= ''2008-01-01'' - GROUP BY - reference_period_start - ORDER BY - reference_period_start + SELECT adm1_code, adm1_name, SUM(population_in_phase) as population_in_phase + FROM hapi_food_food_security + WHERE adm0_code = ''{country_code}'' + AND ipc_phase = ''{ipc_phase}'' + AND latest = TRUE + GROUP BY adm1_code, adm1_name + ORDER BY population_in_phase DESC + LIMIT 3 """ + print(query) data = execute_query(query) - if not data: - raise ValueError(''No data found for the given country code.'') - df = pd.DataFrame(data, columns=[''reference_period_start'', ''total_fatalities'']) - return df + data =pd.DataFrame(data, columns=[''adm1_code'', ''adm1_name'', ''population_in_phase'']) -def get_commodity_prices(country_code, start_date): + return data + + +def get_attribution(country_code, ipc_phase): """ - Fetch commodity prices data for a given country starting from a specific date. + Get the attribution URL for a given country and IPC level. Args: - country_code (str): ISO3 country code. - start_date (str): Start date in ''YYYY-MM-DD'' format. + country_code (str): The ISO3 code of the country. + ipc_phase (str): The IPC level. Returns: - pd.DataFrame: DataFrame containing commodity prices data. + str: The attribution URL. """ query = f""" - SELECT - reference_period_start, - commodity_name, - price - FROM - hapi_food_food_price - WHERE - adm0_code = ''{country_code}'' - AND reference_period_start >= ''{start_date}'' + SELECT DISTINCT resource_hdx_id + FROM hapi_food_food_security + WHERE adm0_code = ''{country_code}'' + AND ipc_phase = ''{ipc_phase}'' + AND latest = TRUE """ data = execute_query(query) if not data: - raise ValueError(''No data found for the given country code and date range.'') - df = pd.DataFrame(data, columns=[''reference_period_start'', ''commodity_name'', ''price'']) - return df + print(''No data found for given parameters.'') + return None, None + resource_id = data[0][0] + hdx_url, data_url = get_hdx_dataset_url(resource_id) + return hdx_url, data_url -def calculate_relative_average_monthly_movement(df): +def get_organizations_in_food_security(country_code, ipc_phase): """ - Calculate the relative average monthly price movement of all commodities. + Fetch organizations involved in food security in the top 3 regions. Args: - df (pd.DataFrame): DataFrame containing commodity prices data. + country_code (str): The ISO3 code of the country. + ipc_phase (str): The IPC phase to filter by. Returns: - pd.DataFrame: DataFrame containing average monthly price changes. - """ - df[''reference_period_start''] = pd.to_datetime(df[''reference_period_start'']) - df[''month_year''] = df[''reference_period_start''].dt.to_period(''M'') - df[''price_change''] = df.groupby(''commodity_name'')[''price''].pct_change() * 100 - monthly_avg_change = df.groupby(''month_year'')[''price_change''].mean().reset_index() - return monthly_avg_change - - -def plot_price_vs_fatalities(country_code, start_date, output_path=''./work/price_vs_fatalities.png''): + pd.DataFrame: DataFrame containing organizations data. """ - Create and save a scatterplot showing price movements and fatality rates. + top_regions_df = get_food_security_data(country_code, ipc_phase) + if top_regions_df.empty: + print(''No top regions found for given parameters.'') + return pd.DataFrame() - Args: - country_code (str): ISO3 country code. - start_date (str): Start date in ''YYYY-MM-DD'' format. - output_path (str): Path to save the output image. + top_regions = top_regions_df[''adm1_code''].tolist() + top_regions_str = '', ''.join([f"''{region}''" for region in top_regions]) - Returns: - str: Path to the saved image. + query = f""" + SELECT DISTINCT adm1_name, org_name + FROM hapi_coordination_context_operational_presence + WHERE adm0_code = ''{country_code}'' + AND adm1_code IN ({top_regions_str}) + AND latest = TRUE + AND sector_name ilike ''Food Security'' """ - fatalities_df = get_fatalities_data(country_code) - prices_df = get_commodity_prices(country_code, start_date) - monthly_avg_change = calculate_relative_average_monthly_movement(prices_df) - - fatalities_df[''reference_period_start''] = pd.to_datetime(fatalities_df[''reference_period_start'']) - fatalities_df[''month_year''] = fatalities_df[''reference_period_start''].dt.to_period(''M'') - monthly_fatalities = fatalities_df.groupby(''month_year'')[''total_fatalities''].sum().reset_index() - - combined_df = pd.merge(monthly_avg_change, monthly_fatalities, on=''month_year'', how=''inner'') - - # TODO remove outliers - combined_df = combined_df[combined_df[''total_fatalities''] < 100] - - plt.figure(figsize=(10, 6)) - sns.regplot(x=''total_fatalities'', y=''price_change'', data=combined_df, scatter_kws={''alpha'':0.5}, line_kws={"color": "blue"}) - plt.title(''Scatterplot of price movements of food items vs. fatality rates'') - plt.ylabel(''Average monthly price change of food items (%)'') - plt.xlabel(''Total fatalities'') - plt.grid(True) - plt.savefig(output_path) - return output_path - + data = execute_query(query) + return pd.DataFrame(data, columns=[''adm1_name'', ''org_name'']), top_regions_df -def get_attribution(country_code): +def get_time_period(country_code, ipc_phase): """ - Get the attribution URL for a given country. + Get the time period for a given country. Args: country_code (str): ISO3 country code. + ipc_phase (str): The IPC phase to filter by. Returns: - dict: Dictionary containing attribution and data URLs. + tuple: Start and end period. """ query = f""" - SELECT DISTINCT resource_hdx_id - FROM hapi_coordination_context_conflict_event + SELECT DISTINCT reference_period_start, reference_period_end + FROM hapi_food_food_security WHERE adm0_code = ''{country_code}'' + AND ipc_phase = ''{ipc_phase}'' + AND latest = TRUE """ data = execute_query(query) if not data: - raise ValueError(''No attribution data found for the given country code.'') - resource_id = data[0][0] - hdx_url, data_url = get_hdx_dataset_url(resource_id) - return {''hdx_url'': hdx_url, ''data_url'': data_url} - + print(''No data found for given parameters.'') + return '''', '''' + start_period = data[0][0] + end_period = data[0][1] + return start_period, end_period -def generate_price_vs_fatalities_report(country_code, start_date): +def analyze_food_security(country_code, ipc_phase): """ - Generate a report of price movements vs fatalities for a given country. + Main function to analyze food security data and generate a map. Args: - country_code (str): ISO3 country code. - start_date (str): Start date in ''YYYY-MM-DD'' format. + country_code (str): The ISO3 code of the country. + ipc_phase (str): The IPC phase to filter by. Returns: - dict: JSON object containing the report. + dict: JSON record containing file path and metadata. """ - try: - image_path = plot_price_vs_fatalities(country_code, start_date) - attribution = get_attribution(country_code) - result = { - "result": { - "type": "image", - "file": image_path, - "value": "" + food_security_df = get_food_security_data(country_code, ipc_phase) + hdx_url, data_url = get_attribution(country_code, ipc_phase) + start_period, end_period = get_time_period(country_code, ipc_phase) + + organizations_df, top_regions_df = get_organizations_in_food_security(**params) + if not organizations_df.empty: + output = f''Top 3 regions in {country_code} by population in phase {ipc_phase}:\n\n'' + output += top_regions_df.to_markdown(index=False) + output += ''\n\nOrganizations providing food security in these regions:\n\n'' + output += organizations_df.to_markdown(index=False) + else: + print(''No organizations found for the given parameters.'') + + result = { + "result": { + "type": "text", + "file": "", + "value": f"{output}" + }, + "metadata": { + "params": { + "country_code": f"{country_code}", + "ipc_phase": f"{ipc_phase}" }, - "metadata": { - "params": { - "country_code": country_code, - "start_date": start_date - }, - "attribution": attribution["hdx_url"], - "data_url": attribution["data_url"], - "time_period": { - "start": f"{start_date}", - "end": "" - } + "attribution": f"{hdx_url}", + "data_url": f"{data_url}", + "time_period": { + "start": f"{start_period}", + "end": f"{end_period}" } } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - except Exception as e: - print(f''Error: {e}'') - return {''error'': str(e)} + } + print("OUTPUT:") + print(json.dumps(result, indent=4)) + return result -', 'plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image', '{}', '{HAPI}', NULL, NULL, ' country_code = ''TCD'' # Example country code - start_date = ''2008-01-01'' # Example start date - generate_price_vs_fatalities_report(country_code, start_date) +','find and display a table of organizations by region in Chad for food security with IPC phase 3+ using HDX data, showing top 3 regions as text','{}','{HAPI}',NULL,NULL,' params = {''country_code'': ''TCD'', ''ipc_phase'': ''3+''} + result = analyze_food_security(**params) -', '"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"', 'image', '{"params": {"country_code": "TCD", "start_date": "2008-01-01"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx", "time_period": {"start": "2008-01-01", "end": ""}}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('015b18de-e58d-4929-ab94-ad58831c1736', ' +','{"result": {"type": "text", "file": "", "value": "Top 3 regions in TCD by population in phase 3+:\n\n| adm1_code | adm1_name | population_in_phase |\n|:------------|:-------------|----------------------:|\n| TD14 | Ouaddai | 292780 |\n| TD07 | Lac | 230487 |\n| TD05 | Hadjer-Lamis | 209637 |\n\nOrganizations providing food security in these regions:\n\n| adm1_name | org_name |\n|:-------------|:----------------------------------------------------------------------------|\n| Hadjer-Lamis | Action against Hunger |\n| Hadjer-Lamis | Cooperazione Internazionale |\n| Hadjer-Lamis | German Development Cooperation |\n| Hadjer-Lamis | World Vision International |\n| Lac | Action against Hunger |\n| Lac | Agence de Developpement et de la Formation Proffessionnelle |\n| Lac | Association pour le d\u00e9veloppement des initiatives locales |\n| Lac | Bureau Consult International |\n| Lac | CARE International |\n| Lac | Catholic Relief Services |\n| Lac | Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement |\n| Lac | Croix Rouge Tchadienne |\n| Lac | Diakonie |\n| Lac | Food and Agriculture Organization |\n| Lac | Handicap International - Humanity & Inclusion |\n| Lac | Help Tchad |\n| Lac | Initiative Humanitaire pour le Developpement Local |\n| Lac | International Committee of the Red Cross |\n| Lac | International Rescue Committee |\n| Lac | INTERSOS - Humanitarian Aid Organization |\n| Lac | OHDEL |\n| Lac | Organisation Tchadienne pour le D\u00e9veloppement |\n| Lac | OXFAM |\n| Lac | Programme Alimentaire Mondiale |\n| Lac | SAHKAL pour la Solidarit\u00e9 et d\u00e9veloppement au sahel |\n| Lac | Secours Catholique et D\u00e9veloppement |\n| Lac | SOS Sahel |\n| Lac | SOSSIF |\n| Lac | United Nations Development Programme |\n| Lac | World Vision International |\n| Ouaddai | Action Citoyenne pour l''Information et l''Education au D\u00e9veloppement Durable |\n| Ouaddai | Action contre le changement climatique pour le d\u00e9veloppement |\n| Ouaddai | Action Humanitaire pour le D\u00e9veloppement |\n| Ouaddai | ADD |\n| Ouaddai | Adventist Development and Relief Agency |\n| Ouaddai | A Nassour |\n| Ouaddai | APRODIF |\n| Ouaddai | Association des Femmes pour le D\u00e9veloppement Int\u00e9gr\u00e9 |\n| Ouaddai | Association des T\u00e9moins des Urgences et des Actions de D\u00e9veloppement |\n| Ouaddai | Association pour la promotion du monde rural |\n| Ouaddai | Association Tchadienne pour la Promotion du D\u00e9v\u00e9loppement Int\u00e9gr\u00e9 |\n| Ouaddai | Association Tchadienne pour le D\u00e9veloppement Rural, Social et Economique |\n| Ouaddai | ATTADAMOUN |\n| Ouaddai | Bureau Consult International |\n| Ouaddai | CARE International |\n| Ouaddai | Cercle Humanitaire d''Appui aux Initiatives de Developpe\u00f9ment |\n| Ouaddai | Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement |\n| Ouaddai | Concern Worldwide |\n| Ouaddai | Cooperazione Internazionale |\n| Ouaddai | Croix Rouge Tchadienne |\n| Ouaddai | Echo M\u00e9dical |\n| Ouaddai | Food and Agriculture Organization |\n| Ouaddai | Future Porte du Tchad |\n| Ouaddai | German Development Cooperation |\n| Ouaddai | Hebrew Immigrant Aid Society |\n| Ouaddai | International Cooperation and Developpment World |\n| Ouaddai | KITES |\n| Ouaddai | Lutheran World Federation |\n| Ouaddai | NIRVANA |\n| Ouaddai | Norwegian Refugee Council |\n| Ouaddai | Nour Akoura |\n| Ouaddai | Organisation Humanitaire et de D\u00e9v\u00e9loppement Local |\n| Ouaddai | OXFAM |\n| Ouaddai | Premi\u00e8re Urgence Internationale |\n| Ouaddai | Programme Alimentaire Mondiale |\n| Ouaddai | Secours Catholique et D\u00e9veloppement |\n| Ouaddai | TCHAD SOS |\n| Ouaddai | United Nations Children''s Fund |\n| Ouaddai | United Nations Development Programme |\n| Ouaddai | World Relief Chad |\n| Ouaddai | World Vision International |"}, "metadata": {"params": {"country_code": "TCD", "ipc_phase": "3+"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}}','text','{"params": {"country_code": "TCD", "ipc_phase": "3+"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}','Recipe Manager','matt','matt','2024-07-11 00:36:42.292537','approved','matt','2024-07-11 00:36:42.292537+00','',''), + ('83ab2323-e9cc-42c5-bd2d-a68b76146a95',' import sys import os import requests @@ -356,147 +347,260 @@ import pandas as pd from skills import * -# filename: plot_fatalities_by_month.py +# filename: get_all_recipes.py import os +import psycopg2 import pandas as pd -import matplotlib.pyplot as plt from dotenv import load_dotenv +import sys import json -from skills import get_connection, execute_query, get_hdx_dataset_url -# Load environment variables +# Load environment variables from .env file load_dotenv() +# Define database connection parameters from environment variables +DB_PARAMS = { + ''host'': os.getenv(''POSTGRES_RECIPE_HOST''), + ''port'': os.getenv(''POSTGRES_RECIPE_PORT''), + ''dbname'': os.getenv(''POSTGRES_RECIPE_DB''), + ''user'': os.getenv(''POSTGRES_RECIPE_USER''), + ''password'': os.getenv(''POSTGRES_RECIPE_PASSWORD'') +} -def get_fatalities_data(country_code): - """ - Fetch fatalities data by month for a given country. - - Args: - country_code (str): ISO3 country code. - Returns: - pd.DataFrame: DataFrame containing fatalities data. - """ - query = f""" - SELECT - reference_period_start, - SUM(fatalities) as total_fatalities - FROM - hapi_coordination_context_conflict_event - WHERE - adm0_code = ''{country_code}'' - AND reference_period_start >= ''2008-01-01'' - GROUP BY - reference_period_start - ORDER BY - reference_period_start +def get_connection(params=DB_PARAMS): """ - data = execute_query(query) - if not data: - raise ValueError(''No data found for the given country code.'') - df = pd.DataFrame(data, columns=[''reference_period_start'', ''total_fatalities'']) - return df - + Establishes a connection to the database using provided parameters. -def plot_fatalities_by_month(country_code, output_path=''./work/fatalities_by_month.png''): + :param params: Dictionary containing database connection parameters. + :return: psycopg2 connection object """ - Plot a line chart of fatalities by month for a given country. + conn = psycopg2.connect(**params) + return conn - Args: - country_code (str): ISO3 country code. - output_path (str): Path to save the output image. - Returns: - str: Path to the saved image. +def execute_query(query, params=None): """ - df = get_fatalities_data(country_code) + Executes a SQL query and returns the results. - # Convert reference_period_start to datetime - df[''reference_period_start''] = pd.to_datetime(df[''reference_period_start'']) + :param query: SQL query to be executed. + :param params: Parameters to be passed to the SQL query. + :return: List of tuples containing the query results. + """ + conn = get_connection() + try: + with conn.cursor() as cursor: + cursor.execute(query, params) + column_names = [desc[0] for desc in cursor.description] + results = cursor.fetchall() + df = pd.DataFrame(results, columns=column_names) + print(f''SQL query executed. Number of records returned: {len(results)}'') + return df + except Exception as e: + print(f''Error executing query: {e}'') + return None + finally: + conn.close() - # Format the x-axis labels to show only yyyy-mm - df[''reference_period_start''] = df[''reference_period_start''].dt.to_period(''M'').dt.to_timestamp() - # Plotting - plt.figure(figsize=(12, 8)) - plt.plot(df[''reference_period_start''], df[''total_fatalities''], linestyle=''-'') - plt.title(f''Fatalities by Month for Chad'') - plt.xlabel(''Month'') - plt.ylabel(''Total Fatalities'') - plt.grid(True, which=''both'', axis=''both'') - plt.xticks(pd.date_range(start=''2008-01-01'', end=df[''reference_period_start''].max(), freq=''6M'').to_period(''M'').to_timestamp(), rotation=90) - plt.tight_layout(rect=[0, 0, 1, 1]) # Adjust layout to shift x-axis labels - plt.savefig(output_path) - plt.close() +def get_all_recipes(): + """ + Retrieves all recipes from the database. + + :return: DataFrame containing all recipes. + """ - return output_path + all_data = None + for t in [''recipe'', ''memory'']: + query = f'''''' + SELECT + ''{t}'' AS type, + l.document as intent, + r.* + FROM + langchain_pg_embedding l, + {t} r + WHERE + l.custom_id = r.custom_id + '''''' + print(''Executing query to fetch all recipes...'') + data = execute_query(query) -def get_attribution(country_code): - """ - Get the attribution URL for a given country. + if data is not None: + # Blank out images and code, too many tokens + for index, row in data.iterrows(): + for s in [''sample_'', '''']: + if f''{s}result'' in row: + if row[f''{s}result_type''] == ''image'': + data.loc[index, f''{s}result''] = ''IMAGE'' + else: + data.loc[index, f''{s}result''] = ''TEXT'' - Args: - country_code (str): ISO3 country code. + # Subset + data = data[[''type'', ''intent'']] + + if all_data is None: + all_data = data + else: + all_data = pd.concat([all_data, data]) + + #output = data.to_json(orient=''records'') + #output = json.loads(output) + + # Convert to a markdown table + output = all_data.to_markdown() + + result = { + "result": { + "type": "text", + "file": "", + "value": f"{output}" + }, + "metadata": { + "params": {}, + "attribution": "", + "data_url": "", + "time_period": { + "start": "", + "end": "" + } + } + } + print("OUTPUT:") + print(json.dumps(result, indent=4)) + return result + +','get all recipes','{}','{HAPI}',NULL,NULL,' recipes = get_all_recipes() + + +','{"result": {"type": "text", "file": "", "value": "| | type | intent |\n|---:|:-------|:-----------------------------------------------------------------------------------------------------------------------------------------------------|\n| 0 | recipe | plot a line chart of conflict events by month for a country using HDX data as an image |\n| 1 | recipe | plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image |\n| 2 | recipe | plot a line chart of fatalities by month for a country using HDX data as an image |\n| 3 | recipe | plot a line chart of commodity prices monthly relative change for a country from 2008-01-01 using HDX data as an image |\n| 4 | recipe | plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image |\n| 5 | recipe | provide a list of organizations providing food security for a region in a country |\n| 6 | recipe | provide the total population of a provided country using HDX data as text |\n| 7 | recipe | plot population pyramids by age for a country using HDX data as an image |\n| 8 | recipe | plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image |\n| 9 | recipe | plot a map of population by admin1 or admin2 for a country using HAPI data as an image |\n| 10 | recipe | plot a line chart of commodity prices monthly relative change for a country from 2008-01-01 using HDX data as an image |\n| 11 | recipe | List organizations in top 3 states by population in provided IPC Phase in a country, using HAPI data |\n| 12 | recipe | plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image |\n| 13 | recipe | provide a text summary of metadata by subnational region using HAPI data as text |\n| 14 | recipe | get all recipes |\n| 15 | recipe | plot a map of IPC phase data by admin_1 using HDX data as an image |\n| 16 | recipe | get all recipes |\n| 17 | recipe | plot a line chart of conflict events by month for a country using HDX data as an image |\n| 18 | recipe | create a sankey plot of refugee migration by country for Kenya using HAPI data as an image |\n| 19 | recipe | plot a map of population by admin1 or admin2 for a country using HAPI data as an image |\n| 20 | recipe | create a sankey plot of refugee migration by country for Kenya using HAPI data as an image |\n| 0 | memory | plot a line chart of conflict events by month for Chad using HDX data as an image |\n| 1 | memory | plot a scatterplot of food price movements and number of fatalities in TCD from 2008-01-01 using HDXData data, including regression line as an image |\n| 2 | memory | plot a line chart of fatalities by month for Chad using HDX data as an image |\n| 3 | memory | plot a line chart of commodity prices monthly relative change for Chad from 2008-01-01 using HDX data as an image |\n| 4 | memory | plot a bar chart of humanitarian organizations in Wadi Fira by sector using Humanitarian Data Exchange data as an image |\n| 5 | memory | provide a list of organizations providing food security in Wadi Fira, Chad |\n| 6 | memory | provide the total population of Mali using HDX data as text |\n| 7 | memory | plot population pyramids by age for Chad using HDX data as an image |\n| 8 | memory | plot a scatterplot of food price movements and number of fatalities in TCD from 2008-01-01 using HDXData data, including regression line as an image |\n| 9 | memory | plot a map of population by admin1 for Haiti using HAPI data as an image |\n| 10 | memory | plot a line chart of commodity prices monthly relative change for Chad from 2008-01-01 using HDX data as an image |\n| 11 | memory | List organizations in the top 3 states by population in IPC Phase 3+ in Chad, using HAPI data |\n| 12 | memory | plot a bar chart of humanitarian organizations in Wadi Fira by sector using Humanitarian Data Exchange data as an image |\n| 13 | memory | provide a text summary of metadata for Wadi Fira using HAPI data as text |\n| 14 | memory | retrieve all recipes |\n| 15 | memory | plot a map of IPC phase 3 data by admin_1 in Chad using HDX data as an image |\n| 16 | memory | retrieve all recipes |\n| 17 | memory | create a sankey plot of refugee migration by country for Kenya using HAPI data as an image |"}, "metadata": {"params": {}, "attribution": "", "data_url": "", "time_period": {"start": "", "end": ""}}}','text','{"params": {}, "attribution": "", "data_url": "", "time_period": {"start": "", "end": ""}}','Recipe Manager','matt','matt','2024-07-11 00:36:42.292537','approved','matt','2024-07-11 00:36:42.292537+00','',''), + ('b6a6d3dd-48b4-4b3e-b0a4-a485f22ede4e','# filename: recipe.py + +import os +import pandas as pd +import geopandas as gpd +import matplotlib.pyplot as plt +from dotenv import load_dotenv +import psycopg2 +from skills import * +from sqlalchemy import create_engine +import base64 +import io +import logging + +load_dotenv() + +# Database connection details +DB_HOST = os.getenv(''POSTGRES_DATA_HOST'') +DB_PORT = os.getenv(''POSTGRES_DATA_PORT'') +DB_NAME = os.getenv(''POSTGRES_DATA_DB'') +DB_USER = os.getenv(''POSTGRES_DATA_USER'') +DB_PASSWORD = os.getenv(''POSTGRES_DATA_PASSWORD'') + +# Create a database connection +engine = create_engine(f''postgresql://{DB_USER}:{DB_PASSWORD}@{DB_HOST}:{DB_PORT}/{DB_NAME}'') + +logging.basicConfig(level=logging.INFO) + + +def get_attribution(region): + query = f'''''' + SELECT distinct resource_hdx_id + FROM hapi_coordination_context_operational_presence + WHERE adm1_name = ''{region}'' + '''''' - Returns: - dict: Dictionary containing attribution and data URLs. - """ - query = f""" - SELECT DISTINCT resource_hdx_id - FROM hapi_coordination_context_conflict_event - WHERE adm0_code = ''{country_code}'' - """ data = execute_query(query) if not data: - raise ValueError(''No attribution data found for the given country code.'') + print(''No data found for given parameters.'') resource_id = data[0][0] - hdx_url, data_url = get_hdx_dataset_url(resource_id) - return {''hdx_url'': hdx_url, ''data_url'': data_url} + hdx_url, data_url= get_hdx_dataset_url(resource_id) + return hdx_url, data_url -def generate_fatalities_report(country_code): - """ - Generate a report of fatalities by month for a given country. - Args: - country_code (str): ISO3 country code. +def get_date_range(region): + query = f'''''' + SELECT MIN(reference_period_start) as start_date, MAX(reference_period_end) as end_date + FROM hapi_coordination_context_operational_presence + WHERE adm1_name = ''{region}'' + '''''' + logging.info(f''Query: {query}'') + data = execute_query(query) + if not data: + print(''No date range found for given parameters.'') + return None + return data[0] - Returns: - dict: JSON object containing the report. - """ - try: - image_path = plot_fatalities_by_month(country_code) - attribution = get_attribution(country_code) - result = { - "result": { - "type": "image", - "file": f"{image_path}", - "value": {"country_code": f"{country_code}"} + +def create_bar_chart_of_humanitarian_organizations_in_a_given_region_disaggregated_by_sector(region): + # Query the database to get the data + query = f'''''' + SELECT sector_name, COUNT(org_name) as count + FROM hapi_coordination_context_operational_presence + WHERE adm1_name = ''{region}'' + GROUP BY sector_name + ORDER BY count DESC + '''''' + logging.info(f''Query: {query}'') + df = pd.read_sql(query, engine) + print(''DEBUG INFO - Dataframe shape:'', df.shape) + + # Create the bar chart + plt.figure(figsize=(10, 6)) # Ensure the figure is large enough + plt.bar(df[''sector_name''], df[''count'']) + plt.xlabel(''Sector'') + plt.ylabel(''Number of organizations'') + plt.title(f''Humanitarian Organizations in {region} disaggregated by Sector'') + plt.xticks(rotation=90) + plt.tight_layout() # Adjust layout to make room for labels + + # Create a bytes buffer for the plot and save it to the buffer + buf = io.BytesIO() + plt.savefig(buf, format=''png'', dpi=300) + buf.seek(0) + plt.close() + + # Encode the bytes buffer in base64 + image_base64 = base64.b64encode(buf.read()).decode(''utf-8'') + image_base64 = image_base64.replace(''\n'', '''') + + image_file = f''./work/bar_chart_{region.replace(" ", "_")}.png'' + with open(image_file, ''wb'') as f: + f.write(base64.b64decode(image_base64)) + + attribution, data_url = get_attribution(region) + date_range = get_date_range(region) + + result = { + "result": { + "type": "image", + "file": f"{image_file}", + "value": "" + }, + "metadata": { + "params": { + "region": f"{region}" }, - "metadata": { - "params": { - "country_code": f"{country_code}" - }, - "attribution": f"{attribution[''hdx_url'']}", - "data_url": f"{attribution[''data_url'']}" + "attribution": f"{attribution}", + "data_url": f"{data_url}", + "time_period": { + "start": f"{date_range[0]}", + "end": f"{date_range[1]}" } } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - except Exception as e: - print(f''Error: {e}'') - return {''error'': str(e)} + } + print("OUTPUT:") + print(json.dumps(result, indent=4)) + return result -', 'plot a line chart of fatalities by month for a country using HDX data as an image', '{}', '{HAPI}', NULL, NULL, ' country_code = ''TCD'' # Example country code - generate_fatalities_report(country_code) +','plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image','{}','{HAPI}',NULL,NULL,' result = create_bar_chart_of_humanitarian_organizations_in_a_given_region_disaggregated_by_sector(''Wadi Fira'') -', '"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"', 'image', '{"params": {"country_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx"}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('55a94900-60d9-4493-b33d-2d7d42376340', ' +','"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"','image','{"params": {"region": "Wadi Fira"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}','Recipe Manager','matt','matt','2024-06-13 22:22:13.38238','approved','matt','2024-06-13 22:22:13.38238+00','',''), + ('dd0ddd95-a60d-4670-b250-d479314f6094',' import sys import os import requests @@ -639,640 +743,162 @@ def generate_commodity_price_plot(country_code, start_date): print(json.dumps(result, indent=4)) return result -', 'plot a line chart of commodity prices by commodity type for Chad from 2008-01-01 using HDX data as an image', '{}', '{HAPI}', NULL, NULL, ' params = { +','plot a line chart of commodity prices by commodity type for Chad from 2008-01-01 using HDX data as an image','{}','{HAPI}',NULL,NULL,' params = { ''country_code'': ''TCD'', # ISO3 code for Chad ''start_date'': ''2008-01-01'' } generate_commodity_price_plot(**params) -', '"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"', 'image', '{"params": {"country": "TCD"}, "parameters": {"country_code": "TCD"}, "attribution": "None", "data_url": "None", "time_period": {"start": "2008-01-01"}}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('b6a6d3dd-48b4-4b3e-b0a4-a485f22ede4e', '# filename: recipe.py +','"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"','image','{"params": {"country": "TCD"}, "parameters": {"country_code": "TCD"}, "attribution": "None", "data_url": "None", "time_period": {"start": "2008-01-01"}}','Recipe Manager','matt','matt','2024-07-11 00:36:42.292537','approved','matt','2024-07-11 00:36:42.292537+00','',''), + ('e574d89f-98d9-4ee0-a279-6bed160c6fc7',' +import sys +import os +import requests +import pandas as pd +from skills import * + + +# filename: plot_events_by_month.py import os import pandas as pd -import geopandas as gpd import matplotlib.pyplot as plt from dotenv import load_dotenv -import psycopg2 -from skills import * -from sqlalchemy import create_engine -import base64 -import io -import logging +import json +from skills import get_connection, execute_query, get_hdx_dataset_url +# Load environment variables load_dotenv() -# Database connection details -DB_HOST = os.getenv(''POSTGRES_DATA_HOST'') -DB_PORT = os.getenv(''POSTGRES_DATA_PORT'') -DB_NAME = os.getenv(''POSTGRES_DATA_DB'') -DB_USER = os.getenv(''POSTGRES_DATA_USER'') -DB_PASSWORD = os.getenv(''POSTGRES_DATA_PASSWORD'') - -# Create a database connection -engine = create_engine(f''postgresql://{DB_USER}:{DB_PASSWORD}@{DB_HOST}:{DB_PORT}/{DB_NAME}'') - -logging.basicConfig(level=logging.INFO) +def get_events_data(country_code): + """ + Fetch events data by month for a given country. -def get_attribution(region): - query = f'''''' - SELECT distinct resource_hdx_id - FROM hapi_coordination_context_operational_presence - WHERE adm1_name = ''{region}'' - '''''' + Args: + country_code (str): ISO3 country code. - data = execute_query(query) - if not data: - print(''No data found for given parameters.'') - resource_id = data[0][0] - hdx_url, data_url= get_hdx_dataset_url(resource_id) - - return hdx_url, data_url - - -def get_date_range(region): - query = f'''''' - SELECT MIN(reference_period_start) as start_date, MAX(reference_period_end) as end_date - FROM hapi_coordination_context_operational_presence - WHERE adm1_name = ''{region}'' - '''''' - logging.info(f''Query: {query}'') - data = execute_query(query) - if not data: - print(''No date range found for given parameters.'') - return None - return data[0] - - -def create_bar_chart_of_humanitarian_organizations_in_a_given_region_disaggregated_by_sector(region): - # Query the database to get the data - query = f'''''' - SELECT sector_name, COUNT(org_name) as count - FROM hapi_coordination_context_operational_presence - WHERE adm1_name = ''{region}'' - GROUP BY sector_name - ORDER BY count DESC - '''''' - logging.info(f''Query: {query}'') - df = pd.read_sql(query, engine) - print(''DEBUG INFO - Dataframe shape:'', df.shape) - - # Create the bar chart - plt.figure(figsize=(10, 6)) # Ensure the figure is large enough - plt.bar(df[''sector_name''], df[''count'']) - plt.xlabel(''Sector'') - plt.ylabel(''Number of organizations'') - plt.title(f''Humanitarian Organizations in {region} disaggregated by Sector'') - plt.xticks(rotation=90) - plt.tight_layout() # Adjust layout to make room for labels - - # Create a bytes buffer for the plot and save it to the buffer - buf = io.BytesIO() - plt.savefig(buf, format=''png'', dpi=300) - buf.seek(0) - plt.close() - - # Encode the bytes buffer in base64 - image_base64 = base64.b64encode(buf.read()).decode(''utf-8'') - image_base64 = image_base64.replace(''\n'', '''') - - image_file = f''./work/bar_chart_{region.replace(" ", "_")}.png'' - with open(image_file, ''wb'') as f: - f.write(base64.b64decode(image_base64)) - - attribution, data_url = get_attribution(region) - date_range = get_date_range(region) - - result = { - "result": { - "type": "image", - "file": f"{image_file}", - "value": "" - }, - "metadata": { - "params": { - "region": f"{region}" - }, - "attribution": f"{attribution}", - "data_url": f"{data_url}", - "time_period": { - "start": f"{date_range[0]}", - "end": f"{date_range[1]}" - } - } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - -', 'plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image', '{}', '{HAPI}', NULL, NULL, ' result = create_bar_chart_of_humanitarian_organizations_in_a_given_region_disaggregated_by_sector(''Wadi Fira'') - - -', '"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"', 'image', '{"params": {"region": "Wadi Fira"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('07d104d2-882b-4cd4-9dde-37a0d3d19664', '# filename: food_security.py - -import sys -import os -import requests -import pandas as pd -from skills import * -import geopandas as gpd -from shapely import wkb -from dotenv import load_dotenv -import skills - -# Load environment variables from .env file -load_dotenv() - - -def get_region_code(region_name: str) -> str: - '''''' - Get the region code for a given region name. - '''''' - query = f'''''' - SELECT code - FROM hapi_metadata_admin1 - WHERE name = ''{region_name}'' - '''''' - print(''SQL Query:'', query) - rows = skills.execute_query(query) - - if rows: - return rows[0][0] - else: - return None - - -def get_sector_types() -> list: - '''''' - Fetch all available sector types. - '''''' - query = '''''' - SELECT DISTINCT name - FROM hapi_metadata_sector - '''''' - print(''SQL Query:'', query) - rows = skills.execute_query(query) - - return [row[0] for row in rows] if rows else [] - - -def get_country_name(adm0_code: str) -> str: - '''''' - Get the full country name for a given country code. - '''''' - query = f'''''' - SELECT name - FROM hapi_metadata_location - WHERE code = ''{adm0_code}'' - '''''' - print(''SQL Query:'', query) - rows = skills.execute_query(query) - - if rows: - return rows[0][0] - else: - return None - - -def get_attribution(adm0_code: str, sector: str, adm1_code: str): - query = f'''''' - SELECT distinct resource_hdx_id - FROM hapi_coordination_context_operational_presence c - WHERE c.adm0_code = ''{adm0_code}'' - AND c.adm1_code = ''{adm1_code}'' - AND c.latest = TRUE - AND c.sector_name = ''{sector}'' - '''''' - data = execute_query(query) - if not data: - print(''No data found for given parameters.'') - resource_id = data[0][0] - hdx_url, data_url = get_hdx_dataset_url(resource_id) - - return hdx_url, data_url - - -def get_time_period(adm0_code: str, sector: str, adm1_code: str): - query = f'''''' - SELECT DISTINCT reference_period_start, reference_period_end - FROM hapi_coordination_context_operational_presence c - WHERE c.adm0_code = ''{adm0_code}'' - AND c.adm1_code = ''{adm1_code}'' - AND c.latest = TRUE - AND c.sector_name = ''{sector}'' - '''''' - data = execute_query(query) - if not data: - print(''No data found for given parameters.'') - start_period = data[0][0] - end_period = data[0][1] - - return start_period, end_period - - -def get_organizations_by_sector_and_region(adm0_code: str, sector: str, adm1_code: str) -> list: - '''''' - Fetch a list of organizations for a specified sector and region in a country. - - :param adm0_code: ISO3 code for the country - :param sector: Sector name - :param adm1_code: Administrative level 1 code - :return: List of organizations - '''''' - if adm1_code is None: - print(''Invalid region code:'', adm1_code) - return [] - - if sector not in get_sector_types(): - print(f"Invalid sector: {sector}") - return [] - - query = f'''''' - SELECT DISTINCT c.org_name, c.adm0_code, c.adm1_code - FROM hapi_coordination_context_operational_presence c - WHERE c.adm0_code = ''{adm0_code}'' - AND c.adm1_code = ''{adm1_code}'' - AND c.latest = TRUE - AND c.sector_name = ''{sector}'' - '''''' - print(''SQL Query:'', query) - rows = skills.execute_query(query) - - organizations = [row[0] for row in rows] - - # COnvert organizations into markdown table - organizations = [(row[0], row[1], row[2]) for row in rows] - organizations = pd.DataFrame(organizations, columns=[''Organization'', ''Country'', ''Region'']) - organizations = organizations.to_markdown(index=False) - - print(''DEBUG INFO - Organizations:'', organizations) - print(''DEBUG INFO - Length of data is:'', len(organizations)) - - return organizations - - -def operational_presence_task(params): - adm0_code = params.get(''adm0_code'') - sector = params.get(''sector'') - region_name = params.get(''region'', None) - adm1_code = None - if region_name: - adm1_code = get_region_code(region_name) - - organizations = get_organizations_by_sector_and_region(adm0_code, sector, adm1_code) - country_name = get_country_name(adm0_code) - attribution, data_url = get_attribution(adm0_code, sector, adm1_code) - start_period, end_period = get_time_period(adm0_code, sector, adm1_code) - - result = { - "result": { - "type": "text", - "file": "", - "value": f"{organizations}" - }, - "metadata": { - "params": { - "country": f"{country_name}", - "sector": f"{sector}" - }, - "attribution": f"{attribution}", - "data_url": f"{data_url}", - "time_period": { - "start": f"{start_period}", - "end": f"{end_period}" - } - } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - -', 'provide a list of organizations providing food security for a region in a country', '{}', '{HAPI}', NULL, NULL, ' params = {''adm0_code'': ''TCD'', ''sector'': ''Food Security'', ''region'': ''Wadi Fira''} - operational_presence_task(params) - - -', '{"result": {"type": "text", "file": "", "value": "| Organization | Country | Region |\n|:------------------------------------------------------------------|:----------|:---------|\n| Association des Femmes pour le D\u00e9veloppement Int\u00e9gr\u00e9 | TCD | TD17 |\n| Association Tchadienne pour la Promotion du D\u00e9v\u00e9loppement Int\u00e9gr\u00e9 | TCD | TD17 |\n| BAP | TCD | TD17 |\n| Bureau Consult International | TCD | TD17 |\n| CA17/PREPASS | TCD | TD17 |\n| CARE International | TCD | TD17 |\n| Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement | TCD | TD17 |\n| Croix Rouge Tchadienne | TCD | TD17 |\n| Food and Agriculture Organization | TCD | TD17 |\n| German Development Cooperation | TCD | TD17 |\n| Hebrew Immigrant Aid Society | TCD | TD17 |\n| International Cooperation and Developpment World | TCD | TD17 |\n| KITES | TCD | TD17 |\n| NIRVANA | TCD | TD17 |\n| Programme Alimentaire Mondiale | TCD | TD17 |\n| Secours Catholique et D\u00e9veloppement | TCD | TD17 |\n| UN Refugee Agency | TCD | TD17 |"}, "metadata": {"params": {"country": "Chad", "sector": "Food Security"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}}', 'text', '{"params": {"country": "Chad", "sector": "Food Security"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('8fc9e346-0f7c-4f4b-8cc0-03c42d7485cd', '# filename: population_query.py - -import os -import psycopg2 -import pandas as pd -from dotenv import load_dotenv -from skills import * - -# Load environment variables from .env file -load_dotenv() - -# Database connection details -DB_HOST = os.getenv(''POSTGRES_DATA_HOST'') -DB_PORT = os.getenv(''POSTGRES_DATA_PORT'') -DB_NAME = os.getenv(''POSTGRES_DATA_DB'') -DB_USER = os.getenv(''POSTGRES_DATA_USER'') -DB_PASSWORD = os.getenv(''POSTGRES_DATA_PASSWORD'') - - -def get_db_connection(): - """ - Establish a connection to the PostgreSQL database. - Returns: - conn: psycopg2 connection object - """ - try: - conn = psycopg2.connect( - host=DB_HOST, - port=DB_PORT, - dbname=DB_NAME, - user=DB_USER, - password=DB_PASSWORD - ) - return conn - except Exception as e: - print(f''Error connecting to the database: {e}'') - return None - - -def get_total_population(country_code): - """ - Retrieve the total population for a given country using HDX data. - Args: - country_code (str): The ISO3 code of the country. Returns: - int: Total population of the country. - """ - query = f'''''' - SELECT SUM(population) AS total_population - FROM hapi_population_social_population - WHERE adm0_code = ''{country_code}'' - AND gender = ''all'' - AND age_range = ''all'' - AND adm1_code IS NULL - AND adm2_code IS NULL - AND latest = TRUE; - '''''' - print(''Executing SQL query:'') - print(query) - - conn = get_db_connection() - if conn is None: - return None - - try: - df = pd.read_sql_query(query, conn) - print(f''DEBUG INFO - Length of data is: {len(df)}'') - if not df.empty: - total_population = df.iloc[0][''total_population''] - return int(total_population) if total_population is not None else 0 - else: - return 0 - except Exception as e: - print(f''Error executing query: {e}'') - return None - finally: - conn.close() - - -def get_attribution_and_time_period(country_code): + pd.DataFrame: DataFrame containing events data. """ - Get the attribution URL and time period for a given country. - - Args: - country_code (str): The ISO3 code of the country. - - Returns: - tuple: The attribution URL, resource URL, start period, and end period. + query = f""" + SELECT + reference_period_start, + SUM(events) as total_events + FROM + hapi_coordination_context_conflict_event + WHERE + adm0_code = ''{country_code}'' + AND reference_period_start >= ''2008-01-01'' + GROUP BY + reference_period_start + ORDER BY + reference_period_start """ - query = f'''''' - SELECT DISTINCT resource_hdx_id, reference_period_start, reference_period_end - FROM hapi_population_social_population - WHERE adm0_code = ''{country_code}'' - AND gender = ''all'' - AND age_range = ''all'' - AND adm1_code IS NULL - AND adm2_code IS NULL - AND latest = TRUE; - '''''' data = execute_query(query) if not data: - print(''No data found for given parameters.'') - return None, None, None, None - resource_id = data[0][0] - start_period = data[0][1] - end_period = data[0][2] - hdx_url, resource_url = get_hdx_dataset_url(resource_id) - return hdx_url, resource_url, start_period, end_period - - -def get_population_with_metadata(country_code): - """ - Main function to get the total population of a provided country along with metadata. - Args: - country_code (str): The ISO3 code of the country. - Returns: - dict: Total population of the country and metadata. - """ - total_population = get_total_population(country_code) - attribution_url, resource_url, start_period, end_period = get_attribution_and_time_period(country_code) - - result = { - "result": { - "type": "number", - "file": "", - "value": f"{total_population}" - }, - "metadata": { - "params": { - "country_code": f"{country_code}", - }, - "attribution": f"{attribution_url}", - "data_url": f"{resource_url}", - "time_period": { - "start": f"{start_period}", - "end": f"{end_period}" - } - } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - -', 'provide the total population of a provided country using HDX data as text', '{}', '{HAPI}', NULL, NULL, ' # Example usage - country_code = ''MLI'' # Replace with the desired country code - get_population_with_metadata(country_code) - - -', '{"result": {"type": "number", "file": "", "value": "17907114"}, "metadata": {"params": {"country_code": "MLI"}, "attribution": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c", "data_url": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/6f243ba2-4d4a-4663-a7c4-e917dbbde73a/download/mli_pop_adm0_v2.csv", "time_period": {"start": "2018-01-01", "end": "2018-12-31T23:59:59"}}}', 'text', '{"params": {"country_code": "MLI"}, "attribution": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c", "data_url": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/6f243ba2-4d4a-4663-a7c4-e917dbbde73a/download/mli_pop_adm0_v2.csv", "time_period": {"start": "2018-01-01", "end": "2018-12-31T23:59:59"}}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('6757e581-4656-4994-82f9-a15a0b4ce5a9', ' -import sys -import os -import requests -import pandas as pd -from skills import * - - -# filename: hapi_metadata_summary.py - -import os -import psycopg2 -import pandas as pd -from dotenv import load_dotenv - -# Load environment variables from .env file -load_dotenv() - -# Database connection details -DB_HOST = os.getenv(''POSTGRES_DATA_HOST'') -DB_PORT = os.getenv(''POSTGRES_DATA_PORT'') -DB_NAME = os.getenv(''POSTGRES_DATA_DB'') -DB_USER = os.getenv(''POSTGRES_DATA_USER'') -DB_PASSWORD = os.getenv(''POSTGRES_DATA_PASSWORD'') + raise ValueError(''No data found for the given country code.'') + df = pd.DataFrame(data, columns=[''reference_period_start'', ''total_events'']) + return df -def get_db_connection(): - """ - Establish a connection to the PostgreSQL database. - Returns: - conn (psycopg2.extensions.connection): Database connection object. +def plot_events_by_month(country_code, output_path=''./work/events_by_month.png''): """ - try: - conn = psycopg2.connect( - host=DB_HOST, - port=DB_PORT, - dbname=DB_NAME, - user=DB_USER, - password=DB_PASSWORD - ) - return conn - except Exception as e: - print(f''Error connecting to the database: {e}'') - return None - - return hdx_url + Plot a line chart of events by month for a given country. + Args: + country_code (str): ISO3 country code. + output_path (str): Path to save the output image. -def load_region_mapping(): - """ - Load region mapping from the hapi_metadata_admin1 table. Returns: - dict: Dictionary with region names as keys and codes as values. - """ - query = """ - SELECT name, code - FROM hapi_metadata_admin1 + str: Path to the saved image. """ - conn = get_db_connection() - if conn is None: - return {} - try: - df = pd.read_sql_query(query, conn) - return dict(zip(df[''name''], df[''code''])) - except Exception as e: - print(f''Error executing query: {e}'') - return {} - finally: - conn.close() + df = get_events_data(country_code) + # Convert reference_period_start to datetime + df[''reference_period_start''] = pd.to_datetime(df[''reference_period_start'']) -REGION_MAPPING = load_region_mapping() + # Format the x-axis labels to show only yyyy-mm + df[''reference_period_start''] = df[''reference_period_start''].dt.to_period(''M'').dt.to_timestamp() + # Plotting + plt.figure(figsize=(12, 8)) + plt.plot(df[''reference_period_start''], df[''total_events''], linestyle=''-'') + plt.title(f''events by Month for {country_code}'') + plt.xlabel(''Month'') + plt.ylabel(''Total events'') + plt.grid(True, which=''both'', axis=''both'') + plt.xticks(pd.date_range(start=''2008-01-01'', end=df[''reference_period_start''].max(), freq=''6M'').to_period(''M'').to_timestamp(), rotation=90) + plt.tight_layout(rect=[0, 0, 1, 1]) # Adjust layout to shift x-axis labels + plt.savefig(output_path) + plt.close() -def find_tables_with_adm1_column(): - """ - Find tables that have a column named ''adm1_code''. - Returns: - list: List of table names that have the ''adm1_code'' column. - """ - query = """ - SELECT table_name - FROM information_schema.columns - WHERE column_name = ''adm1_code'' - """ - conn = get_db_connection() - if conn is None: - return [] - try: - df = pd.read_sql_query(query, conn) - return df[''table_name''].tolist() - except Exception as e: - print(f''Error executing query: {e}'') - return [] - finally: - conn.close() + return output_path -def check_data_for_subnational_region(table_name, adm1_code): +def get_attribution(country_code): """ - Check if a table has data for a specific subnational region. + Get the attribution URL for a given country. + Args: - table_name (str): Name of the table. - adm1_code (str): Subnational region code. + country_code (str): ISO3 country code. + Returns: - bool: True if data exists, False otherwise. + dict: Dictionary containing attribution and data URLs. """ query = f""" - SELECT 1 - FROM {table_name} - WHERE adm1_code = %s - LIMIT 1 + SELECT DISTINCT resource_hdx_id + FROM hapi_coordination_context_conflict_event + WHERE adm0_code = ''{country_code}'' """ - conn = get_db_connection() - if conn is None: - return False - try: - df = pd.read_sql_query(query, conn, params=(adm1_code,)) - return not df.empty - except Exception as e: - print(f''Error executing query: {e}'') - return False - finally: - conn.close() + data = execute_query(query) + if not data: + raise ValueError(''No attribution data found for the given country code.'') + resource_id = data[0][0] + hdx_url, data_url = get_hdx_dataset_url(resource_id) + return {''hdx_url'': hdx_url, ''data_url'': data_url} -def summarize_tables_with_data(region): +def generate_events_report(country_code): """ - Summarize which tables have data for a specific subnational region. + Generate a report of events by month for a given country. + Args: - region (str): Subnational region name or code. + country_code (str): ISO3 country code. + Returns: - str: Summary of tables with data. + dict: JSON object containing the report. """ - adm1_code = REGION_MAPPING.get(region, region) # Use the code if name is not found - tables = find_tables_with_adm1_column() - if not tables: - return ''No tables found with the column adm1_code.'' - summary = ''Tables with data for subnational region (adm1_code: {}):\n\n''.format(adm1_code) - for table in tables: - if check_data_for_subnational_region(table, adm1_code): - summary += f"- {table}\n" - summary if summary.strip() else ''No data found for the specified subnational region.'' - - result = { - "result": { - "type": "text", - "file": "", - "value": f"{summary}" - }, - "metadata": { - "params": { - "region": f"{region}" + try: + image_path = plot_events_by_month(country_code) + attribution = get_attribution(country_code) + result = { + "result": { + "type": "image", + "file": f"{image_path}" }, - "attribution": "", - "data_url": "", - "time_period": {} + "metadata": { + "params": { + "country_code": f"{country_code}" + }, + "attribution": f"{attribution[''hdx_url'']}", + "data_url": f"{attribution[''data_url'']}" + } } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result + print("OUTPUT:") + print(json.dumps(result, indent=4)) + return result + except Exception as e: + print(f''Error: {e}'') + return {''error'': str(e)} -', 'provide a text summary of metadata by subnational region using HAPI data as text', '{}', '{HAPI}', NULL, NULL, ' region = ''Wadi Fira'' # Example subnational region name or code - summary = summarize_tables_with_data(region) +','plot a line chart of conflict events by month for a country using HDX data as an image','{}','{HAPI}',NULL,NULL,' country_code = ''TCD'' # Example country code + generate_events_report(country_code) -', '{"result": {"type": "text", "file": "", "value": "Tables with data for subnational region (adm1_code: TD17):\n\n- hapi_coordination_context_conflict_event\n- hapi_coordination_context_operational_presence\n- hapi_food_food_price\n- hapi_food_food_security\n- hapi_metadata_admin2\n- hapi_metadata_wfp_market\n- hapi_population_social_population\n- hdx_shape_files\n"}, "metadata": {"params": {"region": "Wadi Fira"}, "attribution": "", "data_url": "", "time_period": {}}}', 'text', '{"params": {"region": "Wadi Fira"}, "attribution": "", "data_url": "", "time_period": {}}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('fe51cc88-4fc2-48dc-8d04-a38f3eea101f', ' +','"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"','image','{"params": {"country_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx"}','Recipe Manager','matt','matt','2024-06-16 22:48:19.451409','approved','matt','2024-06-16 22:48:19.451409+00','',''), + ('015b18de-e58d-4929-ab94-ad58831c1736',' import sys import os import requests @@ -1280,136 +906,147 @@ import pandas as pd from skills import * -# filename: get_all_recipes.py +# filename: plot_fatalities_by_month.py import os -import psycopg2 import pandas as pd +import matplotlib.pyplot as plt from dotenv import load_dotenv -import sys import json +from skills import get_connection, execute_query, get_hdx_dataset_url -# Load environment variables from .env file +# Load environment variables load_dotenv() -# Define database connection parameters from environment variables -DB_PARAMS = { - ''host'': os.getenv(''POSTGRES_RECIPE_HOST''), - ''port'': os.getenv(''POSTGRES_RECIPE_PORT''), - ''dbname'': os.getenv(''POSTGRES_RECIPE_DB''), - ''user'': os.getenv(''POSTGRES_RECIPE_USER''), - ''password'': os.getenv(''POSTGRES_RECIPE_PASSWORD'') -} - - -def get_connection(params=DB_PARAMS): - """ - Establishes a connection to the database using provided parameters. - :param params: Dictionary containing database connection parameters. - :return: psycopg2 connection object +def get_fatalities_data(country_code): """ - conn = psycopg2.connect(**params) - return conn + Fetch fatalities data by month for a given country. + Args: + country_code (str): ISO3 country code. -def execute_query(query, params=None): + Returns: + pd.DataFrame: DataFrame containing fatalities data. """ - Executes a SQL query and returns the results. - - :param query: SQL query to be executed. - :param params: Parameters to be passed to the SQL query. - :return: List of tuples containing the query results. + query = f""" + SELECT + reference_period_start, + SUM(fatalities) as total_fatalities + FROM + hapi_coordination_context_conflict_event + WHERE + adm0_code = ''{country_code}'' + AND reference_period_start >= ''2008-01-01'' + GROUP BY + reference_period_start + ORDER BY + reference_period_start """ - conn = get_connection() - try: - with conn.cursor() as cursor: - cursor.execute(query, params) - column_names = [desc[0] for desc in cursor.description] - results = cursor.fetchall() - df = pd.DataFrame(results, columns=column_names) - print(f''SQL query executed. Number of records returned: {len(results)}'') - return df - except Exception as e: - print(f''Error executing query: {e}'') - return None - finally: - conn.close() + data = execute_query(query) + if not data: + raise ValueError(''No data found for the given country code.'') + df = pd.DataFrame(data, columns=[''reference_period_start'', ''total_fatalities'']) + return df -def get_all_recipes(): +def plot_fatalities_by_month(country_code, output_path=''./work/fatalities_by_month.png''): """ - Retrieves all recipes from the database. - - :return: DataFrame containing all recipes. + Plot a line chart of fatalities by month for a given country. + + Args: + country_code (str): ISO3 country code. + output_path (str): Path to save the output image. + + Returns: + str: Path to the saved image. """ + df = get_fatalities_data(country_code) - all_data = None + # Convert reference_period_start to datetime + df[''reference_period_start''] = pd.to_datetime(df[''reference_period_start'']) - for t in [''recipe'', ''memory'']: - query = f'''''' - SELECT - ''{t}'' AS type, - l.document as intent, - r.* - FROM - langchain_pg_embedding l, - {t} r - WHERE - l.custom_id = r.custom_id - '''''' - print(''Executing query to fetch all recipes...'') - data = execute_query(query) + # Format the x-axis labels to show only yyyy-mm + df[''reference_period_start''] = df[''reference_period_start''].dt.to_period(''M'').dt.to_timestamp() - if data is not None: - # Blank out images and code, too many tokens - for index, row in data.iterrows(): - for s in [''sample_'', '''']: - if f''{s}result'' in row: - if row[f''{s}result_type''] == ''image'': - data.loc[index, f''{s}result''] = ''IMAGE'' - else: - data.loc[index, f''{s}result''] = ''TEXT'' + # Plotting + plt.figure(figsize=(12, 8)) + plt.plot(df[''reference_period_start''], df[''total_fatalities''], linestyle=''-'') + plt.title(f''Fatalities by Month for Chad'') + plt.xlabel(''Month'') + plt.ylabel(''Total Fatalities'') + plt.grid(True, which=''both'', axis=''both'') + plt.xticks(pd.date_range(start=''2008-01-01'', end=df[''reference_period_start''].max(), freq=''6M'').to_period(''M'').to_timestamp(), rotation=90) + plt.tight_layout(rect=[0, 0, 1, 1]) # Adjust layout to shift x-axis labels + plt.savefig(output_path) + plt.close() - # Subset - data = data[[''type'', ''intent'']] + return output_path - if all_data is None: - all_data = data - else: - all_data = pd.concat([all_data, data]) - #output = data.to_json(orient=''records'') - #output = json.loads(output) +def get_attribution(country_code): + """ + Get the attribution URL for a given country. - # Convert to a markdown table - output = all_data.to_markdown() + Args: + country_code (str): ISO3 country code. - result = { - "result": { - "type": "text", - "file": "", - "value": f"{output}" - }, - "metadata": { - "params": {}, - "attribution": "", - "data_url": "", - "time_period": { - "start": "", - "end": "" + Returns: + dict: Dictionary containing attribution and data URLs. + """ + query = f""" + SELECT DISTINCT resource_hdx_id + FROM hapi_coordination_context_conflict_event + WHERE adm0_code = ''{country_code}'' + """ + data = execute_query(query) + if not data: + raise ValueError(''No attribution data found for the given country code.'') + resource_id = data[0][0] + hdx_url, data_url = get_hdx_dataset_url(resource_id) + return {''hdx_url'': hdx_url, ''data_url'': data_url} + + +def generate_fatalities_report(country_code): + """ + Generate a report of fatalities by month for a given country. + + Args: + country_code (str): ISO3 country code. + + Returns: + dict: JSON object containing the report. + """ + try: + image_path = plot_fatalities_by_month(country_code) + attribution = get_attribution(country_code) + result = { + "result": { + "type": "image", + "file": f"{image_path}", + "value": {"country_code": f"{country_code}"} + }, + "metadata": { + "params": { + "country_code": f"{country_code}" + }, + "attribution": f"{attribution[''hdx_url'']}", + "data_url": f"{attribution[''data_url'']}" } } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result + print("OUTPUT:") + print(json.dumps(result, indent=4)) + return result + except Exception as e: + print(f''Error: {e}'') + return {''error'': str(e)} -', 'get all recipes', '{}', '{HAPI}', NULL, NULL, ' recipes = get_all_recipes() +','plot a line chart of fatalities by month for a country using HDX data as an image','{}','{HAPI}',NULL,NULL,' country_code = ''TCD'' # Example country code + generate_fatalities_report(country_code) -', '"{\"result\": {\"type\": \"text\", \"file\": \"\", \"value\": \"| type | intent |\\n|--------|----------|\"}, \"metadata\": {\"params\": {}, \"attribution\": \"\", \"data_url\": \"\", \"time_period\": {\"start\": \"\", \"end\": \"\"}}}"', 'text', '{"params": {}, "attribution": "", "data_url": "", "time_period": {"start": "", "end": ""}}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('4aa67e6e-deea-4fb0-aa31-7357b923c057', ' +','"iVBORw0KGgoAAAANSUhEUgAABLAAAAMgCAYAAAAz4JsCAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd5xcdb3/8fe0bUk2vVBC6GKEiASRoCggLYkgEgtF2uXKFUEElItcURO4oNjAElCv/ihKRMGGSDFUkYQiVQm9JISQhCRsNlunnd8fM98zZ2ZnZmd3Jjtnzvf1fDzySHZ2smfO7O6cOe/z+Xy+IcdxHAEAAAAAAAA+Fa73AwAAAAAAAADKIcACAAAAAACArxFgAQAAAAAAwNcIsAAAAAAAAOBrBFgAAAAAAADwNQIsAAAAAAAA+BoBFgAAAAAAAHyNAAsAAAAAAAC+RoAFAAAAAAAAXyPAAgAAAAAAgK8RYAEAAAAAAMDXCLAAAAAAAADgawRYAAAAAAAA8DUCLAAAAAAAAPgaARYAAKirU089VTvuuGPebaFQSAsXLqzo/++444469dRTa/64Snn99dcVCoX0ve99b8S26WehUEhnn332sP//unXr9MlPflITJ05UKBTSVVddVbsHV6VTTz1Vo0ePHpFtDeVnHgAAGxFgAQBgoeuuu06hUKjon69+9asVf50VK1Zo4cKFev3117feg5W0bNkyLVy4UB0dHVt1O37i/R794x//GPB5x3E0ffp0hUIhfexjH9uqj2VrPv/nnXee7rrrLl100UX61a9+pSOPPLLm2yjU19enK6+8Uh/4wAc0duxYtbS0aPfdd9fZZ5+tF198catvHwAADF203g8AAADUzyWXXKKddtop77Y999yz4v+/YsUKLVq0SAcddNCAKqpq9Pb2KhrNvU1ZtmyZFi1apFNPPVXjxo3Lu+8LL7ygcDi41+RaWlq0ZMkSfehDH8q7/YEHHtDq1avV3Ny81R9Duee/Wvfee68+/vGP6ytf+UpNv24pGzZs0JFHHqnHH39cH/vYx3TCCSdo9OjReuGFF3TTTTfp5z//ueLx+Ig8FgAAUDkCLAAALDZ37lztu+++9X4YA7S0tFR835EIcOpp3rx5uvnmm/WjH/0oL9RbsmSJZs+erQ0bNtTx0VVv/fr1NQ3F+vr61NTUVDLUPPXUU/Xkk0/qlltu0YIFC/I+d+mll+prX/tazR4LAAConeBergQAAMO2cuVKfeELX9C73vUutba2auLEifrUpz6V1yp43XXX6VOf+pQk6eCDD3bb3e6//35J0p///GfNnz9f2267rZqbm7XLLrvo0ksvVSqVGnT73nlACxcu1AUXXCBJ2mmnndztmMdSbAZWR0eHzj33XE2fPl3Nzc3adddddcUVVyidTufd76abbtLs2bM1ZswYtbe3a6+99tIPf/jDip+nK6+8UjNmzFBra6s+8pGP6N///rf7uWuvvVahUEhPPvnkgP93+eWXKxKJ6M033xx0G8cff7w2btyopUuXurfF43HdcsstOuGEE4r+n+7ubn35y1929/9d73qXvve978lxnLz7mflVf/rTn7TnnnuqublZ73nPe3TnnXe69xns+TfKfY1iTIuk4zhavHix+3WNV199VZ/61Kc0YcIEtbW1af/999df//rXvK9x//33KxQK6aabbtLFF1+s7bbbTm1tbers7Cy6zUceeUR//etfdfrppw8Ir6RMGFpsttmbb76pY445RqNHj9bkyZP1la98ZcDP8fe+9z0dcMABmjhxolpbWzV79mzdcsstA75Wf3+/zjvvPE2ePFljxozR0UcfrdWrV5d9rgAAABVYAABYbfPmzQMqeCZNmqTHHntMy5Yt03HHHaftt99er7/+uq655hoddNBBWrFihdra2vThD39Y55xzjn70ox/pf/7nf/Tud79bkty/r7vuOo0ePVrnn3++Ro8erXvvvVff+MY31NnZqe9+97sVP8Zjjz1WL774on7zm9/oyiuv1KRJkyRJkydPLnr/np4efeQjH9Gbb76p//qv/9IOO+ygZcuW6aKLLtJbb73lDglfunSpjj/+eH30ox/VFVdcIUl67rnn9NBDD+lLX/rSoI/rhhtu0JYtW3TWWWepr69PP/zhD3XIIYfoX//6l6ZOnapPfvKTOuuss3TjjTfqfe97X97/vfHGG3XQQQdpu+22G3Q7O+64o+bMmaPf/OY3mjt3riTpjjvu0ObNm3XcccfpRz/6Ud79HcfR0Ucfrfvuu0+nn3669t57b91111264IIL9Oabb+rKK6/Mu/8//vEP/eEPf9AXvvAFjRkzRj/60Y+0YMECrVq1ShMnTqzo+R/saxTz4Q9/WL/61a900kkn6bDDDtPJJ5/sfm7dunU64IAD1NPTo3POOUcTJ07U9ddfr6OPPlq33HKLPvGJT+R9rUsvvVRNTU36yle+ov7+fjU1NRXd5q233ipJOumkkwZ93o1UKqUjjjhCH/jAB/S9731Pd999t77//e9rl1120Zlnnune74c//KGOPvponXjiiYrH47rpppv0qU99Srfddpvmz5/v3u8///M/9etf/1onnHCCDjjgAN177715nwcAACU4AADAOtdee60jqegfx3Gcnp6eAf9n+fLljiTnhhtucG+7+eabHUnOfffdN+D+xb7Gf/3XfzltbW1OX1+fe9spp5zizJgxI+9+kpxvfvOb7sff/e53HUnOa6+9NuBrzpgxwznllFPcjy+99FJn1KhRzosvvph3v69+9atOJBJxVq1a5TiO43zpS19y2tvbnWQyOeBrlvPaa685kpzW1lZn9erV7u2PPPKII8k577zz3NuOP/54Z9ttt3VSqZR72xNPPOFIcq699tqy2zHfo8cee8z5yU9+4owZM8Z9Tj/1qU85Bx98sLv/8+fPd//fn/70J0eS87//+795X++Tn/ykEwqFnJdfftm9TZLT1NSUd9vTTz/tSHJ+/OMfu7eVe/4r/RqlSHLOOuusvNvOPfdcR5Lz4IMPurdt2bLF2WmnnZwdd9zRfT7vu+8+R5Kz8847F/15K/SJT3zCkeS88847g97XcTI/m5KcSy65JO/2973vfc7s2bPzbivcfjwed/bcc0/nkEMOcW976qmnHEnOF77whbz7nnDCCQN+5gEAQD5aCAEAsNjixYu1dOnSvD+S1Nra6t4nkUho48aN2nXXXTVu3Dg98cQTFX1t79fYsmWLNmzYoAMPPFA9PT16/vnna7sjHjfffLMOPPBAjR8/Xhs2bHD/HHrooUqlUvr73/8uSRo3bpy6u7vzWvOG4phjjsmroNpvv/30gQ98QLfffrt728knn6w1a9bovvvuc2+78cYb1draWrSFrZRPf/rT6u3t1W233aYtW7botttuK9k+ePvttysSieicc87Ju/3LX/6yHMfRHXfckXf7oYceql122cX9eNasWWpvb9err75a8eOrxdco3If99tsvb3D96NGjdcYZZ+j111/XihUr8u5/yimn5P28lWJaC8eMGTOkx/P5z38+7+MDDzxwwL55t//OO+9o8+bNOvDAA/N+X8zPRuH35txzzx3S4wEAwEa0EAIAYLH99tuv6BD33t5efetb39K1116rN998M2920ubNmyv62s8++6wuvvhi3XvvvQNmElX6NYbjpZde0jPPPFOyxXD9+vWSpC984Qv63e9+p7lz52q77bbT4Ycfrk9/+tM68sgjK9rObrvtNuC23XffXb/73e/cjw877DBts802uvHGG/XRj35U6XRav/nNb/Txj398SCHK5MmTdeihh2rJkiXq6elRKpXSJz/5yaL3XblypbbddtsBX9+0dq5cuTLv9h122GHA1xg/frzeeeedih9fLb6G18qVK/WBD3xgwO3effCullm4kmYp7e3tkjKBaqWD41taWgb8LBXbt9tuu03/+7//q6eeekr9/f3u7d65XitXrlQ4HM4L+yTpXe96V0WPBQAAmxFgAQCAAb74xS/q2muv1bnnnqs5c+Zo7NixCoVCOu644wYMQi+mo6NDH/nIR9Te3q5LLrlEu+yyi1paWvTEE0/owgsvrOhrDFc6ndZhhx2m//7v/y76+d13312SNGXKFD311FO66667dMcdd+iOO+7Qtddeq5NPPlnXX399TR5LJBLRCSecoP/7v//T1VdfrYceekhr1qzRZz/72SF/rRNOOEGf+9zntHbtWs2dO7dmK/dFIpGitzsFA9+39teoRiXVV5K0xx57SJL+9a9/6cADD6zo/5TaN68HH3xQRx99tD784Q/r6quv1jbbbKNYLKZrr71WS5YsqWg7AACgPAIsAAAwwC233KJTTjlF3//+993b+vr61NHRkXc/b3WJ1/3336+NGzfqD3/4gz784Q+7t7/22mvDejyltlPMLrvsoq6uLh166KGD3repqUlHHXWUjjrqKKXTaX3hC1/Qz372M33961/XrrvuWvb/vvTSSwNue/HFF7Xjjjvm3XbyySfr+9//vv7yl7/ojjvu0OTJk3XEEUdUvD/GJz7xCf3Xf/2XHn74Yf32t78teb8ZM2bo7rvv1pYtW/KqsEzb5owZM4a87aE8/7UwY8YMvfDCCwNur2YfJOmoo47St771Lf3617+uOMCqxO9//3u1tLTorrvuUnNzs3v7tddem3e/GTNmKJ1O65VXXsmruiq2rwAAIB8zsAAAwACRSGRA9cyPf/xjpVKpvNtGjRolSQOCLVO14v0a8XhcV1999bAeT6ntFPPpT39ay5cv11133TXgcx0dHUomk5KkjRs35n0uHA5r1qxZkpTXAlbKn/70J7355pvux48++qgeeeQRd6VAY9asWZo1a5Z+8Ytf6Pe//72OO+44RaNDv4Y4evRoXXPNNVq4cKGOOuqokvebN2+eUqmUfvKTn+TdfuWVVyoUCg14fJUYyvNfC/PmzdOjjz6q5cuXu7d1d3fr5z//uXbccUfNnDlzWF93zpw5OvLII/WLX/xCf/rTnwZ8Ph6P6ytf+cqQv24kElEoFMr7/Xj99dcHbMM894UrR5qVMQEAQGlUYAEAgAE+9rGP6Ve/+pXGjh2rmTNnavny5br77rs1ceLEvPvtvffeikQiuuKKK7R582Y1NzfrkEMO0QEHHKDx48frlFNO0TnnnKNQKKRf/epXw24pmz17tiTpa1/7mo477jjFYjEdddRRbrDidcEFF+jWW2/Vxz72MZ166qmaPXu2uru79a9//Uu33HKLXn/9dU2aNEn/+Z//qU2bNumQQw7R9ttvr5UrV+rHP/6x9t57b3fWUjm77rqrPvShD+nMM89Uf3+/rrrqKk2cOLFo6+LJJ5/sBiPDaR80TjnllEHvc9RRR+nggw/W1772Nb3++ut673vfq7/97W/685//rHPPPXfA/KVKDOX5r4WvfvWr+s1vfqO5c+fqnHPO0YQJE3T99dfrtdde0+9//3uFw8O/BnvDDTfo8MMP17HHHqujjjpKH/3oRzVq1Ci99NJLuummm/TWW2/pe9/73pC+5vz58/WDH/xARx55pE444QStX79eixcv1q677qpnnnnGvd/ee++t448/XldffbU2b96sAw44QPfcc49efvnlYe8PAAC2IMACAAAD/PCHP1QkEtGNN96ovr4+ffCDH9Tdd989oPVt2rRp+ulPf6pvfetbOv3005VKpXTffffpoIMO0m233aYvf/nLuvjiizV+/Hh99rOf1Uc/+tFhtc+9//3v16WXXqqf/vSnuvPOO5VOp/Xaa68VDVDa2tr0wAMP6PLLL9fNN9+sG264Qe3t7dp99921aNEijR07VlImSPr5z3+uq6++Wh0dHZo2bZo+85nPaOHChRUFJCeffLLC4bCuuuoqrV+/Xvvtt59+8pOfaJttthlw3xNPPFEXXnihdtllF+23335D3v+hCIfDuvXWW/WNb3xDv/3tb3Xttddqxx131He/+119+ctfHtbXHMrzXwtTp07VsmXLdOGFF+rHP/6x+vr6NGvWLP3lL3/R/Pnzq/rakydP1rJly3T11Vfrt7/9rb72ta8pHo9rxowZOvroo/WlL31pyF/zkEMO0S9/+Ut9+9vf1rnnnquddtpJV1xxhV5//fW8AEuS/t//+3+aPHmybrzxRv3pT3/SIYccor/+9a+aPn16VfsFAEDQhZyRmq4JAABgqQ0bNmibbbbRN77xDX3961+v98MBAABoOMzAAgAA2Mquu+46pVIpnXTSSfV+KAAAAA2JFkIAAICt5N5779WKFSt02WWX6ZhjjhmwQiEAAAAqQwshAADAVnLQQQdp2bJl+uAHP6hf//rX2m677er9kAAAABoSARYAAAAAAAB8jRlYAAAAAAAA8DUCLAAAAAAAAPgaQ9xLSKfTWrNmjcaMGaNQKFTvhwMAAAAAANCwHMfRli1btO222yocHno9FQFWCWvWrNH06dPr/TAAAAAAAAAC44033tD2228/5P9HgFXCmDFjJGWe2Pb29jo/muFLJBL629/+psMPP1yxWIxts222zbYbftv13D77zX6PJPab/Q7yduu9fVv3m22zbbYd7G37XWdnp6ZPn+7mLUNFgFWCaRtsb29v+ACrra1N7e3tdfnFZdtsm22z7SBtn/1mv0cS+81+B3m79d6+rfvNttk22w72thvFcMc0McQdAAAAAAAAvkaABQAAAAAAAF8jwAIAAAAAAICvEWABAAAAAADA1wiwAAAAAAAA4GsEWAAAAAAAAPA1AiwAAAAAAAD4GgEWAAAAAAAAfI0ACwAAAAAAAL5GgAUAAAAAAABfI8ACAAAAAACArxFgAQAAAAAAwNcIsAAAAAAAAOBrBFgAAAAAAADwNQIsAAAAAAAA+BoBFgAAAAAAAHyNAAsAAAAAAAC+RoAFAAAAAAAAXyPAAgAAAAAAgK8RYAEAAAAAAMDXCLAAAAAAAADgawRYAAAAAAAA8DUCLAAAAAAAAPgaARYAAAAAAAB8jQALAAAAAAAAvkaABQAAAADwtT8+uVrfvet5OY5T74cCoE4IsAAAAAAAvnb57c9r8X2vaOXGnno/FAB1QoAFAAAAAPC1/kRKkhRPpev8SADUCwEWAAAAAMDX0tnOwVSaFkLAVgRYAAAAAABfS2dnX6WZgQVYiwALAAAAAOBrboBFByFgLQIsAAAAAICvmeCKCizAXgRYAAAAAABfo4UQAAEWAAAAAMDXCLAAEGABAAAAAHzLcRx3FUIWIQTsRYAFAAAAAPAtb9FVigQLsBYBFgAAAADAt1KeBIsWQsBeBFgAAAAAAN/yhlbkV4C9CLAAAAAAAL5FCyEAiQALAAAAAOBj3tCKFkLAXgRYAAAAAADfooUQgESABQAAAADwsTQthABEgAUAAAAA8LE0LYQARIAFAAAAAPAxb2hFgAXYiwALAAAAAOBb3q5BOggBexFgAQAAAAB8iwosABIBFgAAAADAx7yhFUPcAXsRYAEAAAAAfMubWVGABdiLAAsAAAAA4FveVQipwALsRYAFAAAAAPAtZmABkAiwAAAAAAA+RgshAIkACwAAAADgY962wRQJFmAtAiwAAAAAgG85tBACEAEWAAAAAMDHvC2EzHAH7EWABQAAAADwLW8LYZoEC7AWARYAAAAAwLdYhRCARIAFAAAAAPAxb2aVogILsBYBFgAAAADAt7wrD1KABdiLAAsAAAAA4Fu0EAKQCLAAAAAAAD7meEKrFAEWYC0CLAAAAACAb6XSuX+TXwH2IsACAAAAAPiWt22QIe6AvQiwAAAAAAC+lU4zAwsAARYAAAAAwMe8RVcUYAH2IsACAAAAAPhW3iqEJFiAtQiwAAAAAAC+5V15kBZCwF4EWAAAAAAA33LyAqw6PhAAdUWABQAAAADwrXTa828qsABrEWABAAAAAHwrxQwsACLAAgAAAAD4mLeFMEUFFmAtAiwAAAAAgG95i67IrwB7EWABAAAAAHwrlWYVQgAEWAAAAAAAH/OGVilmYAHWIsACAAAAAPiWt+iK/AqwFwEWAAAAAMC38loISbAAaxFgAQAAAAB8y9tCyAwswF4EWAAAAAAA36KFEIBEgAUAAAAA8LEUFVgARIAFAAAAAPAxWggBSARYAAAAAAAfS9NCCEAEWAAAAAAAH0uzCiEAEWABAAAAAHyMFkIAkg8DrIULFyoUCuX92WOPPdzP9/X16ayzztLEiRM1evRoLViwQOvWrcv7GqtWrdL8+fPV1tamKVOm6IILLlAymRzpXQEAAAAAVMlbdJWiAguwVrTeD6CY97znPbr77rvdj6PR3MM877zz9Ne//lU333yzxo4dq7PPPlvHHnusHnroIUlSKpXS/PnzNW3aNC1btkxvvfWWTj75ZMViMV1++eUjvi8AAAAAgOHLayEkvwKs5csAKxqNatq0aQNu37x5s375y19qyZIlOuSQQyRJ1157rd797nfr4Ycf1v7776+//e1vWrFihe6++25NnTpVe++9ty699FJdeOGFWrhwoZqamkZ6dwAAAAAAw+RtG3RoIQSs5bsWQkl66aWXtO2222rnnXfWiSeeqFWrVkmSHn/8cSUSCR166KHufffYYw/tsMMOWr58uSRp+fLl2muvvTR16lT3PkcccYQ6Ozv17LPPjuyOAAAAAACqktdCSIAFWMt3FVgf+MAHdN111+ld73qX3nrrLS1atEgHHnig/v3vf2vt2rVqamrSuHHj8v7P1KlTtXbtWknS2rVr88Ir83nzuVL6+/vV39/vftzZ2SlJSiQSSiQStdi1ujCPvR77wLbZNttm20HbPvvNftuwffab/bZh+7bud6NuO+GZZ5xKpYf12Btxv9k22w6aap+TkOPzGsyOjg7NmDFDP/jBD9Ta2qrTTjstL2iSpP32208HH3ywrrjiCp1xxhlauXKl7rrrLvfzPT09GjVqlG6//XbNnTu36HYWLlyoRYsWDbh9yZIlamtrq+1OAQAAAAAqctfqkG5/IyJJ2n1sWmfNTNf5EQEYjp6eHp1wwgnavHmz2tvbh/z/fVeBVWjcuHHafffd9fLLL+uwww5TPB5XR0dHXhXWunXr3JlZ06ZN06OPPpr3NcwqhcXmahkXXXSRzj//fPfjzs5OTZ8+XYcffviwnli/SCQSWrp0qQ477DDFYjG2zbbZNttu+G3Xc/vsN/s9kthv9jvI26339m3d70bd9iv3viK98YokaeLESZo3b98R23YtsG22jQzT6TZcvg+wurq69Morr+ikk07S7NmzFYvFdM8992jBggWSpBdeeEGrVq3SnDlzJElz5szRZZddpvXr12vKlCmSpKVLl6q9vV0zZ84suZ3m5mY1NzcPuD0WiwXih66e+8G22TbbZttB2z77XR/stx3brff22e/6YL/Zdlnh3OhmJ/v/R2zbNcS22bbtqn0+fBdgfeUrX9FRRx2lGTNmaM2aNfrmN7+pSCSi448/XmPHjtXpp5+u888/XxMmTFB7e7u++MUvas6cOdp///0lSYcffrhmzpypk046Sd/5zne0du1aXXzxxTrrrLOKBlQAAAAAAP/yTr1J0z0IWMt3Adbq1at1/PHHa+PGjZo8ebI+9KEP6eGHH9bkyZMlSVdeeaXC4bAWLFig/v5+HXHEEbr66qvd/x+JRHTbbbfpzDPP1Jw5czRq1CidcsopuuSSS+q1SwAAAACAYUp5liFM+3uEM4CtyHcB1k033VT28y0tLVq8eLEWL15c8j4zZszQ7bffXuuHBgAAAAAYYZ78igALsFh48LsAAAAAAFAf3hbCFPkVYC0CLAAAAACAb3lbCB0qsABrEWABAAAAAHzL20LoDbMA2IUACwAAAADgW965V+RXgL0IsAAAAAAAvuUNsGghBOxFgAUAAAAA8C1vgEULIWAvAiwAAAAAgG95M6s0FViAtQiwAAAAAAC+lU4zAwsAARYAAAAAwMfyh7iTYAG2IsACAAAAAPgWLYQAJAIsAAAAAICP5bUQpuv4QADUFQEWAAAAAMC3aCEEIBFgAQAAAAB8jBZCABIBFgAAAADAx1Ke0CpFCyFgLQIsAAAAAIBvOZ4Ay6ECC7AWARYAAAAAwLe8g9tTBFiAtQiwAAAAAAC+5Q2tvCsSArALARYAAAAAwLfyWwjr+EAA1BUBFgAAAADAt7xFV7QQAvYiwAIAAAAA+FbKk2ClCbAAaxFgAQAAAAB8K503A6uODwRAXRFgAQAAAAB8y1t0RQUWYC8CLAAAAACAb9FCCEAiwAIAAAAA+FheC6GTvyohAHsQYAEAAAAAfKuw6or8CrATARYAAAAAwLfSTuHHJFiAjQiwAAAAAAC+VRhYpQiwACsRYAEAAAAAfCudpoUQAAEWAAAAAMDHClsIU4U3ALACARYAAAAAwLcKWwiZgQXYiQALAAAAAOBbhRVXFGABdiLAAgAAAAD4VmHBVeFMLAB2IMACAAAAAPgWLYQAJAIsAAAAAICPpQoCq8KPAdiBAAsAAAAA4FuFeRX5FWAnAiwAAAAAgG/RQghAIsACAAAAAPhY4SqEhR8DsAMBFgAAAADAt2ghBCARYAEAAAAAfIwWQgASARYAAAAAwMdoIQQgEWABAAAAAHysMK8ivwLsRIAFAAAAAPAthxZCACLAAgAAAAD4WIoAC4AIsAAAAAAAPpYu6BlMp+v0QADUFQEWAAAAAMC3CguuqMAC7ESABQAAAADwLVoIAUgEWAAAAAAAHzOBVSiU+TjFMoSAlQiwAAAAAAC+ZfKqWDic9zEAuxBgAQAAAAB8ywxxj4QzJVgOLYSAlQiwAAAAAAC+ZVoIo5FMgEULIWAnAiwAAAAAgC85jpNrIYzQQgjYjAALAAAAAOBL3m5BWggBuxFgAQAAAAB8Ke0Jq2LZACtFgAVYiQALAAAAAOBL3rAqSgshYDUCLAAAAACAL3mLraLZCqw0CRZgJQIsAAAAAIAvpfMqsEIDbgNgDwIsAAAAAIAvpTzVVtEwLYSAzQiwAAAAAAC+5A2rTAVWigQLsBIBFgAAAADAlxxvC2F2BpZDCyFgJQIsAAAAAIAv5bUQZlchTBFgAVYiwAIAAAAA+JLJr0IhKRIK5d0GwC4EWAAAAAAAXzLtguFQSNkZ7rQQApYiwAIAAAAA+JJpF4yEQgqHGOIO2IwACwAAAADgS94WwjAthIDVCLAAAAAAAL6UTntaCEPZ22ghBKxEgAUAAAAA8CUTVkXCIUWyCVaaEizASgRYAAAAAABf8rYQhmghBKxGgAUAAAAA8KW0M7CFMEULIWAlAiwAAAAAgC+ZdkFvC6FDgAVYiQALAAAAAOBLpl0w7G0hpIcQsBIBFgAAAADAl0wLYSgUUjgbYKXIrwArEWABAAAAAHwpZVoIQyFFsjOwaCEE7ESABQAAAADwJcfTQuhWYNFCCFiJAAsAAAAA4Et5LYTZIe7kV4CdCLAAAAAAAL6UcnKrEGbzKzfUAmAXAiwAAAAAgC+ZeVfeFkJWIQTsRIAFAAAAAPClVDrzdzhMCyFgOwIsAAAAAIAvpd0KLFoIAdsRYAEAAAAAfCntaSGMmBZCAizASgRYAAAAAABfSpsWwlBIIQIswGoEWAAAAAAAX8pvIcwEWGYuFgC7EGABAAAAAHzJDbDCUiR79upQgQVYiQALAAAAAOBLJsCKeCqwaCEE7ESABQAAAADwJTMDKxQKKRymhRCwGQEWAAAAAMCXvKsQZvMrKrAASxFgAQAAAAB8yW0hDNNCCNiOAAsAAAAA4EvpbFYVYgYWYD0CLAAAAACAL+W3EJoAq56PCEC9EGABAAAAAHwplfa2EGZuS5NgAVYiwAIAAAAA+JLpFgx7ViGkhRCwEwEWAAAAAMCXTFiVPwOrno8IQL0QYAEAAAAAfMltIQxJkezZKy2EgJ0IsAAAAAAAvpTXQsgqhIDVfB1gffvb31YoFNK5557r3tbX16ezzjpLEydO1OjRo7VgwQKtW7cu7/+tWrVK8+fPV1tbm6ZMmaILLrhAyWRyhB89AAAAAKAa3hbCUDbASpFfAVbybYD12GOP6Wc/+5lmzZqVd/t5552nv/zlL7r55pv1wAMPaM2aNTr22GPdz6dSKc2fP1/xeFzLli3T9ddfr+uuu07f+MY3RnoXAAAAAABVSDlmFcJMG6FEBRZgK18GWF1dXTrxxBP1f//3fxo/frx7++bNm/XLX/5SP/jBD3TIIYdo9uzZuvbaa7Vs2TI9/PDDkqS//e1vWrFihX79619r77331ty5c3XppZdq8eLFisfj9dolAAAAAMAQpYusQugQYAFW8mWAddZZZ2n+/Pk69NBD825//PHHlUgk8m7fY489tMMOO2j58uWSpOXLl2uvvfbS1KlT3fscccQR6uzs1LPPPjsyOwAAAAAAqJoJq7wzsFIMcQesFK33Ayh000036YknntBjjz024HNr165VU1OTxo0bl3f71KlTtXbtWvc+3vDKfN58rpT+/n719/e7H3d2dkqSEomEEonEsPbFD8xjr8c+sG22zbbZdtC2z36z3zZsn/1mv23Yvq373YjbjifMLGNHTjotSUql0kN+/I2232ybbQdRtc9JyPFR/eUbb7yhfffdV0uXLnVnXx100EHae++9ddVVV2nJkiU67bTT8oImSdpvv/108MEH64orrtAZZ5yhlStX6q677nI/39PTo1GjRun222/X3Llzi2574cKFWrRo0YDblyxZora2thruJQAAAACgEve/FdIfX49o9qS0dmt3dNOrEb1nfFpn7JGu90MDMEQ9PT064YQTtHnzZrW3tw/5//uqAuvxxx/X+vXrtc8++7i3pVIp/f3vf9dPfvIT3XXXXYrH4+ro6Mirwlq3bp2mTZsmSZo2bZoeffTRvK9rVik09ynmoosu0vnnn+9+3NnZqenTp+vwww8f1hPrF4lEQkuXLtVhhx2mWCzGttk222bbDb/tem6f/Wa/RxL7zX4Hebv13r6t+92I21770OvS6y9q++2203t3nqCbXn1WkyZP0bx5+wz6f6vddq2wbbaNDNPpNly+CrA++tGP6l//+lfebaeddpr22GMPXXjhhZo+fbpisZjuueceLViwQJL0wgsvaNWqVZozZ44kac6cObrsssu0fv16TZkyRZK0dOlStbe3a+bMmSW33dzcrObm5gG3x2KxQPzQ1XM/2DbbZttsO2jbZ7/rg/22Y7v13j77XR/sN9suKZQZ2xyNRBSLmtPX0LAfe8PsN9tm2wFU7fPhqwBrzJgx2nPPPfNuGzVqlCZOnOjefvrpp+v888/XhAkT1N7eri9+8YuaM2eO9t9/f0nS4YcfrpkzZ+qkk07Sd77zHa1du1YXX3yxzjrrrKIBFQAAAADAn3KrEGb+ZG7zzRQcACPIVwFWJa688kqFw2EtWLBA/f39OuKII3T11Ve7n49EIrrtttt05plnas6cORo1apROOeUUXXLJJXV81AAAAACAoUp7ViGMZBMsAizATr4PsO6///68j1taWrR48WItXry45P+ZMWOGbr/99q38yAAAAAAAW1M6W4IVDocUCmUDLOa3A1YK1/sBAAAAAABQjLeFMJINsFJUYAFWIsACAAAAAPhSytNCaGZgOQRYgJUIsAAAAAAAvmTCqoinhTCVJsACbESABQAAAADwJTOwPRSSZ4h7PR8RgHohwAIAAAAA+FIqO7A9QgshYD0CLAAAAACAL5mwKhwOKRxmiDtgMwIsAAAAAIAveVsIw9kZWOl0PR8RgHohwAIAAAAA+FKxFsI0FViAlQiwAAAAAAC+ZMKqcCikiKnAIsACrESABQAAAADwJXcGVkgKhViFELAZARYAAAAAwJdSniHukbCZgUWCBdiIAAsAAAAA4EsmqwozAwuwHgEWAAAAAMCXaCEEYBBgAQAAAAB8KZUe2EKYIsECrESABQAAAADwpWIthA4thICVCLAAAAAAAL6U9rQQhrMthCkCLMBKBFgAAAAAAF8yKw5mKrCYgQXYjAALAAAAAOBLeS2E2bNXWggBOxFgAQAAAAB8ydtCGAkxxB2wGQEWAAAAAMCXTIAVCYcUooUQsBoBFgAAAADAl9LpzN8hzyqEaRIswEoEWAAAAAAAX8q1EIYUCYfybgNgFwIsAAAAAIAv5VoIxSqEgOUIsAAAAAAAvmTCqlAopHC2AitFBRZgJQIsAAAAAIAvmRUHw54ZWA4BFmAlAiwAAAAAgC/RQgjAIMACAAAAAPiSKbbKVGBlWwhJsAArEWABAAAAAHzJhFUhTwuhRBshYCMCLAAAAACAL7kthJ4KLIkqLMBGBFgAAAAAAF/KtRDKXYVQYg4WYCMCLAAAAACAL6Wc4i2EaVoIAesQYAEAAAAAfCm3CmFIkbwKLAIswDYEWAAAAAAAX0p7WwhDtBACNiPAAgAAAAD4UjqbVIVDIXnyK4a4AxYiwAIAAAAA+JJpFQyHQ4p4EiyHFkLAOgRYAAAAAABfooUQgEGABQAAAADwJW8LYdgzxJ0WQsA+BFgAAAAAAF9yWwiz1Vcmw6KFELAPARYAAAAAwJdyAZayf4eyt9frEQGoFwIsAAAAAIAvmaAqkk2wTBthigoswDoEWAAAAAAAXzIVWKGCFsI0JViAdQiwAAAAAAC+VLqFkAALsA0BFgAAAADAl9LpzN+mhTDCDCzAWgRYAAAAAABfKlyFMBTKvx2APQiwAAAAAAC+lJuBlfnYVGIxAwuwDwEWAAAAAMCXUgUthGFaCAFrEWABAAAAAHzJGdBCmPk7RYIFWIcACwAAAADgS4WrEEbC+bcDsAcBFgAAAADAl0yllanAMn+TXwH2IcACAAAAAPiSCaoKA6wUCRZgHQIsAAAAAIAvpQtmYIVpIQSsRYAFAAAAAPAlU2llgqtcCyEBFmAbAiwAAAAAgC+lC1oII+4qhPV6RADqhQALAAAAAOBL6YIh7tm/aCEELESABQAAAADwpXRBC2EknEmwTLAFwB4EWAAAAAAAXypsITR/k18B9iHAAgAAAAD4jrfKKtdCaAIsEizANgRYAAAAAADf8YZUZnh7JHsGmyLAAqxDgAUAAAAA8B1vm2Aoe+ZqKrEcAizAOgRYAAAAAADf8VZgDWghTNflIQGoIwIsAAAAAIDvFG0hzPxFCyFgIQIsAAAAAIDv5LUQZoMrWggBexFgAQAAAAB8J1VkFcJwOJT9XF0eEoA6IsACAAAAAPiOt8oqkg2usn/ltRcCsAMBFgAAAADAd7wthOGCFkICLMA+BFgAAAAAAN/xthCa1QdNJRYBFmAfAiwAAAAAgO+YFkITWkm5ICvNDCzAOgRYAAAAAADfMQVYnvxKkey/U1RgAdYhwAIAAAAA+I4JqUzVlZSbgeUQYAHWIcACAAAAAPhOOluCFQkVaSEkvwKsQ4AFAAAAAPAdp1gLYfYMNkWCBVinJgHWG2+8odWrV7sfP/roozr33HP185//vBZfHgAAAABgGdNCGA7TQgigRgHWCSecoPvuu0+StHbtWh122GF69NFH9bWvfU2XXHJJLTYBAAAAALBI2gRYRWZgUYAF2KcmAda///1v7bfffpKk3/3ud9pzzz21bNky3XjjjbruuutqsQkAAAAAgEUcN8DK3WaqsWghBOxTkwArkUioublZknT33Xfr6KOPliTtscceeuutt2qxCQAAAACARVLpzN+RvBbCzN9pWggB69QkwHrPe96jn/70p3rwwQe1dOlSHXnkkZKkNWvWaOLEibXYBAAAAADAIiakCnlaCCNuCyEBFmCbmgRYV1xxhX72s5/poIMO0vHHH6/3vve9kqRbb73VbS0EAAAAAKBS6SIthCFmYKk/mdK6zr56PwxgxEVr8UUOOuggbdiwQZ2dnRo/frx7+xlnnKG2trZabAIAAAAAYJG0aSEM0ULo9YVfP6H7X3xbD1xwkLYfz/k27FGTCiwpM2Dv8ccf189+9jNt2bJFktTU1ESABQAAAAAYsqIthNkEK21xCdYrb3cplXa0alNPvR8KMKJqUoG1cuVKHXnkkVq1apX6+/t12GGHacyYMbriiivU39+vn/70p7XYDAAAAADAEinTQugpu6CFUEpmdz6ZsvhJgJVqUoH1pS99Sfvuu6/eeecdtba2urd/4hOf0D333FOLTQAAAAAALOJkA6xIXgVW5u+UxQmW2XebnwPYqSYVWA8++KCWLVumpqamvNt33HFHvfnmm7XYBAAAAADAIiafCefNwMr827F4BlYiW3mVSKXr/EiAkVWTCqx0Oq1UKjXg9tWrV2vMmDG12AQAAAAAwCKmwsiTX7kBls3FR6nsdHsqsGCbmgRYhx9+uK666ir341AopK6uLn3zm9/UvHnzarEJAAAAAIBFzBB3M7hdygVYKYsrsMwMrAQBFixTkxbC73//+zriiCM0c+ZM9fX16YQTTtBLL72kSZMm6Te/+U0tNgEAAAAAsIhTtIUw83fa5gArZWZg0UIIu9QkwNp+++319NNP66abbtIzzzyjrq4unX766TrxxBPzhroDAAAAAFCJXAuhd4i7mYFVl4fkC+Z5SbAKISxTkwBLkqLRqD772c/W6ssBAAAAACyWayHM3WbCLJvnPyWzlVdJAixYZtgB1q233qq5c+cqFovp1ltvLXvfo48+eribAQAAAABYiBbCgdJpxx1gTwshbDPsAOuYY47R2rVrNWXKFB1zzDEl7xcKhYquUAgAAAAAQCnlWgjTllZgJT37TQshbDPsACvtSXvTJL8AAAAAgBpyWwhz+ZUbZlmaX+W1TtrcRgk7hQe/y+BuuOEG9ff3D7g9Ho/rhhtuqMUmAAAAAAAWSdNCOEDCUzySoJAElqlJgHXaaadp8+bNA27fsmWLTjvttFpsAgAAAABgERNSeQOsiFuBZWeAlfK0DaZoIYRlahJgOY6T15dsrF69WmPHjq3FJgAAAAAAFnEDLM9Za9idgVWPR1R/eTOwaCGEZaoKsN73vvdpn332USgU0kc/+lHts88+7p/3vve9OvDAA3XooYcO6Wtec801mjVrltrb29Xe3q45c+bojjvucD/f19ens846SxMnTtTo0aO1YMECrVu3Lu9rrFq1SvPnz1dbW5umTJmiCy64QMlksppdBQAAAACMoOIthJl/pyytwEp6kjtWIYRthj3EXZK7+uBTTz2lI444QqNHj3Y/19TUpB133FELFiwY0tfcfvvt9e1vf1u77babHMfR9ddfr49//ON68skn9Z73vEfnnXee/vrXv+rmm2/W2LFjdfbZZ+vYY4/VQw89JElKpVKaP3++pk2bpmXLlumtt97SySefrFgspssvv7ya3QUAAAAAjBCz0iAzsHKSnrbBJC2EsExVAdY3v/lNSdKOO+6oz3zmM2ppaan6AR111FF5H1922WW65ppr9PDDD2v77bfXL3/5Sy1ZskSHHHKIJOnaa6/Vu9/9bj388MPaf//99be//U0rVqzQ3XffralTp2rvvffWpZdeqgsvvFALFy5UU1NT1Y8RAAAAALB15VoIB1ZgWZpf5a08mCDAgmVqMgPrlFNOqUl4VSiVSummm25Sd3e35syZo8cff1yJRCKvLXGPPfbQDjvsoOXLl0uSli9frr322ktTp05173PEEUeos7NTzz77bM0fIwAAAACg9nIthLnbTJiVsnT+Ey2EsNmwK7AmTJigF198UZMmTdL48eOLDnE3Nm3aNKSv/a9//Utz5sxRX1+fRo8erT/+8Y+aOXOmnnrqKTU1NWncuHF59586darWrl0rSVq7dm1eeGU+bz5XSn9/v/r7+92POzs7JUmJREKJRGJIj99PzGOvxz6wbbbNttl20LbPfrPfNmyf/Wa/bdi+rfvdaNuOJ7JzjB3H/T9OOiVJSqXSQ9qHRtrvcvr6c1+jP5ka9GsGZb/ZdjBU+5yEHGd4xZfXX3+9jjvuODU3N+u6664rG2CdcsopQ/ra8Xhcq1at0ubNm3XLLbfoF7/4hR544AE99dRTOu200/KCJknab7/9dPDBB+uKK67QGWecoZUrV+quu+5yP9/T06NRo0bp9ttv19y5c4tuc+HChVq0aNGA25csWaK2trYhPX4AAAAAQHWWrwvpplcj2nN8Wp/bI1Nt9ODakG55LaK9J6Z12u72VSCt7pa++0ymDmX/KWkdv4t9zwEaV09Pj0444QRt3rxZ7e3tQ/7/w67A8oZSp5566nC/TFFNTU3addddJUmzZ8/WY489ph/+8If6zGc+o3g8ro6OjrwqrHXr1mnatGmSpGnTpunRRx/N+3pmlUJzn2IuuuginX/++e7HnZ2dmj59ug4//PBhPbF+kUgktHTpUh122GGKxWJsm22zbbbd8Nuu5/bZb/Z7JLHf7HeQt1vv7du634227c7HVkuvrtA206Zp3ry9JUnvPPqGbnntOU2Zmrtta2y7lmq57adXb5aeeUSStM2222nevL1GbNtDxbbr8/riZ6bTbbiGHWANZcPVBkDpdFr9/f2aPXu2YrGY7rnnHnd1wxdeeEGrVq3SnDlzJElz5szRZZddpvXr12vKlCmSpKVLl6q9vV0zZ84suY3m5mY1NzcPuD0WiwXih66e+8G22TbbZttB2z77XR/stx3brff22e/6YL/ZdlHhzMjmSDjs3j8WjWQ/GRrW42+I/S4jFM6NsU4P4Tlo9P1m28FQ7fMx7ABr3LhxZdsGJclxHIVCIaVSqYq/7kUXXaS5c+dqhx120JYtW7RkyRLdf//9uuuuuzR27FidfvrpOv/88zVhwgS1t7fri1/8oubMmaP9999fknT44Ydr5syZOumkk/Sd73xHa9eu1cUXX6yzzjqraEAFAAAAAPAfM+0m4pniHsmeg6YtXYYw6Vl5MMkqhLDMsAOs++67r5aPw7V+/XqdfPLJeuuttzR27FjNmjVLd911lw477DBJ0pVXXqlwOKwFCxaov79fRxxxhK6++mr3/0ciEd12220688wzNWfOHI0aNUqnnHKKLrnkkq3yeAEAAAAAtZfOrjTorZsIuwFWPR5R/SU9O55IMf8Kdhl2gPWRj3yklo/D9ctf/rLs51taWrR48WItXry45H1mzJih22+/vdYPDQAAAAAwQkyBkbcCy4RZ1lZgeQKslK0pHqw17ACrmJ6eHq1atUrxeDzv9lmzZtVyMwAAAACAgDMthGFPCZYJs2wNb1LpXNVVwtLnAPaqSYD19ttv67TTTtMdd9xR9PNDmYEFAAAAAECqTAuhpQVYSqS8FVi0EMIu4cHvMrhzzz1XHR0deuSRR9Ta2qo777xT119/vXbbbTfdeuuttdgEAAAAAMAipsAo4kmwwtZXYHlnYNn5HMBeNanAuvfee/XnP/9Z++67r8LhsGbMmKHDDjtM7e3t+ta3vqX58+fXYjMAAAAAAEuki7QQhpmB5f7b1hAP9qpJBVZ3d7emTJkiSRo/frzefvttSdJee+2lJ554ohabAAAAAABYxKxCGPactdreQuhtG0yyCiEsU5MA613vepdeeOEFSdJ73/te/exnP9Obb76pn/70p9pmm21qsQkAAAAAgEVMgVF+BVa2hdDSBMvbNpikAguWqUkL4Ze+9CW99dZbkqRvfvObOvLII3XjjTeqqalJ1113XS02AQAAAACwCC2EA3nbBpPMwIJlahJgffazn3X/PXv2bK1cuVLPP/+8dthhB02aNKkWmwAAAAAAWCQXYOVui2Q/sLX4yFt1lWAVQlimJi2El1xyiXp6etyP29ratM8++2jUqFG65JJLarEJAAAAAIBF3AArPLCFMG1pguWde8UQd9imJgHWokWL1NXVNeD2np4eLVq0qBabAAAAAABYpNgMrBAthO6/aSGEbWoSYDmOo5DnRcV4+umnNWHChFpsAgAAAABgEXcVwiIthLZWH3lbCJO0EMIyVc3AGj9+vEKhkEKhkHbfffe8ECuVSqmrq0uf//znq36QAAAAAAC7lGshtLQAK6+FkAos2KaqAOuqq66S4zj6j//4Dy1atEhjx451P9fU1KQdd9xRc+bMqfpBAgAAAADsQgvhQPkVWHY+B7BXVQHWKaecIknaaaeddMABBygWi9XkQQEAAAAA7JYq1kKYTbBSlgZY+TOwaCGEXaoKsIyPfOQj7r/7+voUj8fzPt/e3l6LzQAAAAAALOFkQ6qIpwLLtBNaml8p4WkbTFCBBcvUZIh7T0+Pzj77bE2ZMkWjRo3S+PHj8/4AAAAAADAUJp/xzlo27YS2DnFPeQa32/ocwF41CbAuuOAC3XvvvbrmmmvU3NysX/ziF1q0aJG23XZb3XDDDbXYBAAAAADAIqZNMJwXYGX+ZgZWJsByLH0eYKeatBD+5S9/0Q033KCDDjpIp512mg488EDtuuuumjFjhm688UadeOKJtdgMAAAAAMASbguhp+yCVQjzdzyZdhSLhErcGwiWmlRgbdq0STvvvLOkzLyrTZs2SZI+9KEP6e9//3stNgEAAAAAsIjplvO2EEbCdrcQFq48WBhoAUFWkwBr55131muvvSZJ2mOPPfS73/1OUqYya9y4cbXYBAAAAADAIsVaCEOWtxB6Z2BJUjLNSoSwR00CrNNOO01PP/20JOmrX/2qFi9erJaWFp133nm64IILarEJAAAAAIBF0kVaCE0FlqUFWANbCKnAgkWqmoH16quvaqeddtJ5553n3nbooYfq+eef1+OPP65dd91Vs2bNqvpBAgAAAADsYoqswkVWIbS1AmtAC6GtSR6sVFUF1m677aa3337b/fgzn/mM1q1bpxkzZujYY48lvAIAAAAADIuZcxViFUJX4ewvWghhk6oCrMIlO2+//XZ1d3dX9YAAAAAAAHBbCD2L7JkKLFuHuCdSBTOwaCGERWoyAwsAAAAAgFpyWwjDA1sILS3AKlKBZekTAStVFWCFQqG8ck5zGwAAAAAA1SjWQpgb4m5ncDNgBlaKFkLYo6oh7o7j6NRTT1Vzc7Mkqa+vT5///Oc1atSovPv94Q9/qGYzAAAAAADL5FoIcwGW+aetLYSFM6+owIJNqgqwTjnllLyPP/vZz1b1YAAAAAAAkHIBVrjIDCxLC7AGzLxiBhZsUlWAde2119bqcQAAAAAA4DLFReEiLYQpSxMsViGEzRjiDgAAAADwHbcCKzywhdDWGVgJhrjDYgRYAAAAAADfMdVGpVoIHQtDrFRBxVWCIe6wCAEWAAAAAMB3nGIthJ5/21h8VDjzytZh9rATARYAAAAAwHeKtRCG8wIs+8KbwpZBhrjDJgRYAAAAAADfKdpC6DmDtTHAGjjE3b7nAPYa9iqEt956a8X3Pfroo4e7GQAAAACAhUw+5W0bzKvAsnD8k1l1MBYJKZFylGQGFiwy7ADrmGOOqeh+oVBIqVRquJsBAAAAAFjIVFiFSgVYFlZgmZbBlmhEiVSSCixYZdgBVtrGuBsAAAAAMCJSTvkWwpSNAVY2sGqOhbWlP1eRBdiAGVgAAAAAAN8xxUWREkPcHQuzGzMDqyUWkSQlGOIOiwy7AqtQd3e3HnjgAa1atUrxeDzvc+ecc06tNgMAAAAAsIDjVmDlQquI5S2EiezMKxNgFQ51B4KsJgHWk08+qXnz5qmnp0fd3d2aMGGCNmzYoLa2Nk2ZMoUACwAAAAAwJCac8WRWef+2sYXQPCfN0UwzFUPcYZOatBCed955Ouqoo/TOO++otbVVDz/8sFauXKnZs2fre9/7Xi02AQAAAACwSLEWwlAo5IZYNlZgJQtaCBniDpvUJMB66qmn9OUvf1nhcFiRSET9/f2aPn26vvOd7+h//ud/arEJAAAAAIBFirUQSrk2QhvnlyfdFkJTgUWABXvUJMCKxWIKZ5eDmDJlilatWiVJGjt2rN54441abAIAAAAAYJFiLYRSLtCyrQIrnXbcqrSWKBVYsE9NZmC9733v02OPPabddttNH/nIR/SNb3xDGzZs0K9+9SvtueeetdgEAAAAAMAiJqCKFCRYtrYQemd+uS2EzMCCRWpSgXX55Zdrm222kSRddtllGj9+vM4880y9/fbb+tnPflaLTQAAAAAALGLymnC4oIUwbGcLobddsNm0EFKBBYvUpAJr3333df89ZcoU3XnnnbX4sgAAAAAAS6XcGVj5t9vaQpj0JHa5Ie6WpXiwWk0qsA455BB1dHQMuL2zs1OHHHJILTYB1N2yVzZo5cbuej8MAAAAwArpEkPcw7a2EHqqrdwZWAxxh0VqEmDdf//9isfjA27v6+vTgw8+WItNAHX1xqYenfB/j+gLNz5R74cCAAAAWMEUFw0IsMJ2VmAlPGFVU5QWQtinqhbCZ555xv33ihUrtHbtWvfjVCqlO++8U9ttt101mwB8Yf2W/ry/AQAAAGxdpSuwTIA14g+prkwFVjQcUiySeQ4Y4g6bVBVg7b333gqFQgqFQkVbBVtbW/XjH/+4mk0AvmAODBwgAAAAgJHhBlgFfUMmwEpZlmCZeVeRcEjRMBVYsE9VAdZrr70mx3G0884769FHH9XkyZPdzzU1NWnKlCmKRCJVP0ig3syBgR5zAAAAYGSYbIYZWBnmXCQWCSvqVmDZ9RzAblUFWDNmzJAkpVn5AAGXyFZeJfhZBwAAAEZEOl28hTCSTbAsy6/ci+qZCqxQ3m2ADaoKsLxeeeUVXXXVVXruueckSTNnztSXvvQl7bLLLrXaBFA35soGVzgAAACAkWEqrCK0EErKn4EVjZgWQi6wwx41WYXwrrvu0syZM/Xoo49q1qxZmjVrlh555BG95z3v0dKlS2uxCaCuTAVWMu3Ise1SDwAAAFAHJp8KFVRghWxtIcyGVdGIpwKLC+ywSE0qsL761a/qvPPO07e//e0Bt1944YU67LDDarEZoG4Snqs7iZSjpmiozL0BAAAAVGuwFkLrAqyUqcDyzMCiAgsWqUkF1nPPPafTTz99wO3/8R//oRUrVtRiE0BdeVcf5CABAAAAbH1uC+GAIe4mwBrxh1RXRWdgUYEFi9QkwJo8ebKeeuqpAbc/9dRTmjJlSi02AdSV98CQ4CABAAAAbHWpbIBVkF/lWggtS7DcGViRkKJhMwPLrucAdquqhfCSSy7RV77yFX3uc5/TGWecoVdffVUHHHCAJOmhhx7SFVdcofPPP78mDxSoJ+/qg4kUFVgAAADA1maymXC4oIXQDHG3roUwOwMrHKKFEFaqKsBatGiRPv/5z+vrX/+6xowZo+9///u66KKLJEnbbrutFi5cqHPOOacmDxSop0TS00JIBRYAWOGGh1fpmicieu8BvdpxcqzeDwcArOMM0kJoWX7laSEM5yqwODeBRaoKsBy3pDOk8847T+edd562bNkiSRozZkz1jw7wiWTeEHeucgCADe58dp029If0z5Ud2nFye70fDgBYJ+UOcc+/PWzpEHe3hTAccgfZ00IIm1S9CmHhkqYEVwgi79wrDhIAYId4tvo2yYULAKgL87a78JzTBFopy96Xmwvp0UhIsQgBFuxTdYC1++67D3hBKbRp06ZqNwPUlffkhQosALCDeb1n8Q4AGHmOp7oqEqaFUMqvwIpGTAsh5yawR9UB1qJFizR27NhaPBbAtxK0EAKAdUwFFq/7ADDyvNVVpVoIbavAys3ACilqWgi5yAKLVB1gHXfccZoyZUotHgvgW96TFw4SAGCHeIoACwDqxZtNlWohtG0GlllxMBYJ5wIsViGERcLV/OfBWgeBoPCW5nKQAAA7mNZBWggBYOSly7QQmlUJLSvAci+kR8IhRZmBBQtVFWA5liXesJf35IUTGQCwg2khjFOBBQAjzhtgDWghDLEKYTRsZmDZ9RzAblW1EKapRIElvFVXtJIAgB1oIQSA+vEWFoULOn9ClrYQJtwAK+xWpdEdAptUVYEF2MJ7ZYOrHABgh9wQd173AWCk5VdgFbQQWjrEPZW9oBKJhBTLrkJo23MAuxFgARXwto9wJR4A7JCgAgsA6iZdbhXCbKBlWQGWO+8q6pmBxUUW2IQAC6hAXgUWVzkAIPCSqbTbvkKABQAjz/uWu3CIezhs5wyspKeF0F2FkGMULEKABVSAGVgAYJf8ylu7TpAAwA+84VSooIXQ5Fm2tc/lDXHPthBycR02IcACKsAqhABgl0TS87qf5MIFAIw000JY2D6Yuc3SFsLseUgkEspVYBFgwSIEWEAFvKW5lOkCQPD1p1Luv7lwAQAjz+Qyhe2DUi7Asq+FMHMeEgvnAqxU2pFj2fMAexFgARXIq8DiKgcABF7cU3WVYIlyABhxJpwqbB+UPC2ElgU3ptoqEg4rGg4PuB0IOgIsoALeuVe0kgBA8OUFWFTeAsCIS1XQQmhbbuPOwIrkViH03g4EHQEWUAHvVY0kV+IBIPCYfQgA9WWKqyJFKrBMW2HasuDGXFDJDHEPDbgdCDoCLKACSVajAgCrUIEFAPVlWgjDRQIsc5NtM7DyViH0thByfgJLEGABFfCGVhwgACD44gxxB4C6SrkzsAZ+zq3Asuzl2TsDKxIOuc8NM7BgCwIsoALeq++0EAJA8MWT3hZCXvcBYKSZlfXKrkJoWXBjukJM+6BZiZDzE9iCAAuogPeqRpwTGQAIvDiLdwBAXZm337QQ5iQ9LYSZvzOn83SIwBYEWEAF8iqwOEAAQOB5Z2DFed0HgBFn5j2Fig1xz96WsizASqXzq9JyFVh2PQ+wFwEWUIFk3gwsrsQDQNAxxB0A6ivtthAO/JypyrIsv3LPSWLZJ8W0EqZoIYQlCLCACnj7yhNc4QCAwEukCLAAoJ7M2+9iLYThsKUzsLJPiqnAimRbCFlsBLYgwAIqkHclnlkoABB4+RVYnBgAwEgzFVhFA6zsTba2EJrWwZhbgWXX8wB7EWABFfD2ldNjDgDB108FFgDUlRtglWkhtO1tubmgEi1oIeQ4BVsQYAEV8M7A4gABAMGXYAYWANRVuQos00LnWF6B5a5CaFuSB2sRYAEVSKRZhRAAbBJP0UIIAPVkMpliAZa5ybbWucIZWO4qhBynYAkCLGAQqbSTt8JJklU+ACDwvDOwkmnHukHBAFBv5nU3PDC/sraFMLcKoRning2wOD+BJQiwgEEUto7EucIBAIEXL1iwI8HJAQCMqFQFLYRpy1oITaugWX0wFqGFEHYhwAIGURhgJZmFAgCBV/jaTxshAIwsp4IWQtuqYwtnYEVoIYRlCLCAQRQeEDhAAEDw9RdWYCW5eAEAIym3CmGRCixLWwjNxRWz+qBpJUxRJQxLEGABgyhsG6GNBACCLz6gAovXfgAYSamKZmDZlWCl3BbC/FUIqRKGLQiwgEEUVlxxEgMAwVdYcZWw7TI/ANRZuRZCE2rZGmCZ4MpUYjHEHbbwXYD1rW99S+9///s1ZswYTZkyRcccc4xeeOGFvPv09fXprLPO0sSJEzV69GgtWLBA69aty7vPqlWrNH/+fLW1tWnKlCm64IILlEwmR3JXEBADZ2DZdaAEABsNqMCihRAARlS5FkJzW8qyiwumE8QEV1FmYMEyvguwHnjgAZ111ll6+OGHtXTpUiUSCR1++OHq7u5273PeeefpL3/5i26++WY98MADWrNmjY499lj386lUSvPnz1c8HteyZct0/fXX67rrrtM3vvGNeuwSGlxhSS4VWAAQfANWIeS1HwBGVGUthCP5iOovlSoc4s4qhLBLtN4PoNCdd96Z9/F1112nKVOm6PHHH9eHP/xhbd68Wb/85S+1ZMkSHXLIIZKka6+9Vu9+97v18MMPa//999ff/vY3rVixQnfffbemTp2qvffeW5deeqkuvPBCLVy4UE1NTfXYNTSowpJcDhAAEHyFgVVhRRYAYOtKl2khNDOgHMtaCJMFM7BibguhXc8D7OW7CqxCmzdvliRNmDBBkvT4448rkUjo0EMPde+zxx57aIcddtDy5cslScuXL9dee+2lqVOnuvc54ogj1NnZqWeffXYEHz2CYMAMLNpIACDwBqxCSHsGAIwoE05FigRY5ibbWghNUBWLZE7jI24LIecnsIPvKrC80um0zj33XH3wgx/UnnvuKUlau3atmpqaNG7cuLz7Tp06VWvXrnXv4w2vzOfN54rp7+9Xf3+/+3FnZ6ckKZFIKJFI1GR/6sE89nrsQ1C23dsfz//aqXTZrxuU/WbbbNuv267n9tlve/a7P5HK+7i3P27N827j97ue26339tlvu/a7kbYdT5j5xc6A+zvZDolkuvz78uFuu9ZqtW0TVDmplBKJhLIFWIonkiW/dhD2m20HR7XPScjxcd3lmWeeqTvuuEP/+Mc/tP3220uSlixZotNOOy0vbJKk/fbbTwcffLCuuOIKnXHGGVq5cqXuuusu9/M9PT0aNWqUbr/9ds2dO3fAthYuXKhFixYNuH3JkiVqa2ur8Z6hkbzSKf3o2VzWOyrq6PL3p8r8DwBAo7vyXxG93pW76n/WzJR2H+vbt0wAEDhPbAjp+pci2q09rbPfk19hdO+akP68MqL3T0rrs7vZU330349E1J8O6evvS2pSi3Tjy2E9+nZYR+2Q0qHbcYyC//X09OiEE07Q5s2b1d7ePuT/79sKrLPPPlu33Xab/v73v7vhlSRNmzZN8XhcHR0deVVY69at07Rp09z7PProo3lfz6xSaO5T6KKLLtL555/vftzZ2anp06fr8MMPH9YT6xeJREJLly7VYYcdplgsxraHYfmrG6VnH1dTNKx4Mq1QJKZ5844YkW0PFdtm2zZsu57bZ7/t2e+fr1wudW1xP95n3/frw7tNGpFtG3y/2e8gb7fe27d1vxtp28mn35Je+pcmT56kefP2zfvcumUr9eeVL2jatttq3rxZNd92rdVq2xc8dreUTuvQQw7WtuNatezPz+rRt9/Urru9S/MO2nmrbns42HZ9Xl/8zHS6DZfvAizHcfTFL35Rf/zjH3X//fdrp512yvv87NmzFYvFdM8992jBggWSpBdeeEGrVq3SnDlzJElz5szRZZddpvXr12vKlCmSpKVLl6q9vV0zZ84sut3m5mY1NzcPuD0WiwXih66e+9Ho23ZCEUlSayyieDKtZDpd0dds9P1m22zb79uu5/bZ7/oYye0XzrxKK2zd75lN328/bLfe22e/68PWY3gl2w6FzZynga+/sWjE3GnI++D3/S7HzPxqaW5SLBZTUzRzOp9WaNCv28j7zbaDo9rnw3cB1llnnaUlS5boz3/+s8aMGePOrBo7dqxaW1s1duxYnX766Tr//PM1YcIEtbe364tf/KLmzJmj/fffX5J0+OGHa+bMmTrppJP0ne98R2vXrtXFF1+ss846q2hIBZRjes1bYxFt7k0wyBcALBDPDnEPyZGj0IBVCQGgXjZ09aujJ6Fdp4yu90PZqsx8djOo3MusTJi2aIi74zhugGWeE3eIe5pjFOzgu1UIr7nmGm3evFkHHXSQttlmG/fPb3/7W/c+V155pT72sY9pwYIF+vCHP6xp06bpD3/4g/v5SCSi2267TZFIRHPmzNFnP/tZnXzyybrkkkvqsUtocOakpa0pc6UnlXasW7IXAGxjLla0RMzHnBwA8IeTfvmojrzq73p7S//gd25g6ez77XCRVQhNppW26D25d8XFWLY6LRYxAZY9zwPs5rsKrEqCgZaWFi1evFiLFy8ueZ8ZM2bo9ttvr+VDg6XMSUxrNsAytzVFBx5MAQDB0J+twGqKSL2pXEUWANST4zh6ad0WJdOO1m7u0+Qxwe0uMdVVRQqwFM7eaFOA5Q2pIhFTgZUJspJ0iMASvqvAAvzGlOS2xiIDbgMABFM8mVltNleBxckBgPrr7E26QUZvItirYpu8pngFVuY2m4pjvQFWNBvgmQqsFBVYsAQBFjCIohVYSQ4SABBk8exZUXP2nRIthAD8YGN3rm0w+AHW4C2ENo31SKUGBlhmBhbHKNiCAAsYhCnJbY56AiwqsAAg0MzFi+aIk/2Y130A9bexO+7+u8+WAKvIGatbgWVRgOU9/4i4FViZJ4cKLNiCAAsYhDlpaY6G3asd9JkDQHCl0rmVnpqz1y7iBFgAfGBjl0UBVrpcBZaZgTWiD6muvCsQhrL7H3UrsCx6ImA1AixgECbAikZCikYo0wWAoPMObDcBFq3jAPxgk6cCqzce7AArVWYGlqlAsqmFMOkJsAzzb+bzwhYEWMAgzMEiGg67S9YSYAFAcHmrrXJD3HndB1B/mzwzsIJegeU4pVchNJmWTa1zyexxKOZ5QkwLYdKi5wF2I8ACBuEeLDwVWBwkACC4vBVYMYa4A/CRDZ4Wwt5EsF+XcjOwyrUQ2vOevGwFFscoWIIACxiE6SmPRkLuVQ5OZAAguEwFVlM0rKgbYNlzkgTAv/JaCANegWXebpdrIbTpmrKpNotGcqfwsezFdZsq0WA3AixgEAm3AiucK9PlRAYAAstUYDVFwopmz5u4cAHAD7wBVn/AA6x0mRZCc1vaouDGncubV4FlLq7b8zzAbgRYwCBMuW4sEva0EHIiAwBBlfC0jkdCTt5tAFBPGy2qwDIzsCK0EEryVGDlzcCiAgt2IcACBuG92mEOGHFWowKAwHIrsKJhZc8N8ga7A0C9bOzKDXEP/CqE2ZfdUJEWQhNg2VR45M7AiuSejygLTMEyBFjAIJKpXL95bqUPDhIAEFT9nhbCCDOwAPiE4zh6pydXgdWXDPb70bIthNnXZseiCixzTmJWRZdy1WlUYMEWBFjAIExYFQuHmIEFABZIeIe4mxlYAT9RBOB/nX3JvDA96BVYbgthmQosm1oIzTlJpEgLYYIAC5YgwAIGYdoFY9HcDCzKdAEguEwLYSySayHkdR9AvXkHuEtSfzLYAVYqG06VbSG06KXZVFlF8oa4Z+fz2vREwGoEWKiJW59eox/e/VIgy3jN1Y5oOOSW7NJKAgDBlZuBFVI0+06JGVgA6s07/0oKfgWWKSoKlwmwgnjuUYrbQhjJncKbf9NCCFtE6/0AEAyX/GWFNnT1a/6sadp1yph6P5ya8h4sYlFWIQSAoDNhVRMVWAB8ZGNBBVbQVyFMu6sQDvycGQNlU3CTLFOBxTEKtqACCzXR3Z+UJK3v7B/kno3HXYUwEvKs9GHPwRIAbJMoGmDxug+gvkwL4ejmTA1CX9ADrLQZ4s4MLElKebpCDDMDy6YgD3YjwEJNmB78witDQWCudsTCYfcgQZ85AASXWYUwFg27LYRc3QZQbybA2m5cqySpLxHs1yWTyRSbgWUqjyzKr9wLKWYmryRFuLgOyxBgoWrJVNo9wBQOlwwCc9ISi3orsIL9hgEAbObOwPJUYMVZhRBAnW3IzsDabnwmwLK6hTD72pyyKMEyVVbmfCTzbyqwYBcCLFSt3/OmvnC4ZBC4LYRh7yqEHCQAIKjcFsJoWNGQk3cbANTLwAqsgAdYZVoIQxa2EBabgWWGuDOfF7YgwELVvFelA9lC6A5xD6mJgwQABF6uAivkXvnnwgWAenMDLE8FVpBX4SvbQmgCLIvekpsRJrFIsSHuwf05ALwIsFA1bwVWIFsIPeW6VGABQPC5AVY0rCirEALwiY1dmffZ22YrsBwn/3140LgthAxxl1SqAosWQtiFAAtVC34FlmcVQlOBRYAFAIFVfBXC4J4kAmgMG7szozq2z1ZgSVJ/gAe5m3AqPDC/khkDZVOAVWwGVq4CK7g/B4AXARaqZlYglII9A6spElaMgwQABF6/26YRdlsIGeIeLL3xlJ56oyPQ7VcIFsdx3E6Hqe0tbnAR5EHupj0wXCTBMhVYNr0lT3guqhtmBhYVWLAFARaqFvQWwqS7ZG3YPUgkbGq4BwDLFG8h5OQgSC67fYWOWfyQ7nthfb0fClCRLf1J93Vo4qgmtcYikgIeYDmlh7ib22wKoVNFWgjNv5Npx6rnAvYiwELVvAFWR28icFcATFhFCyEA2CE3xD3XQsjiHcGycmOPJGn1O711fiRAZTZl51+1NUXUEsv8kYK9EmGqTAthxMIWwqTbQuipwPK0EwbtHAwohgALVfO2VTiO9E5PsKqw3FUIw2F3UGLSpnplALBMwrPSU9SzCiFXt4OjN5456ac1FI3CzL+aOLpJktQSy7w4BbkCy7zkFqvACoXsG17u7QoxvO2ESYueC9iLAAtV887AknIrpARFwj1YhNyhiXEqsAAgsLwthJ5zA9oIA8Sc9Ad5BTcEi3l/PWFUsyS5LYRBrsByWwjLzMCy6bpCynSFFGkhlJjRCzsQYKFqhVcvzRWioEh4hvnGolRgAUDQxVOlAixe+4PCVGARYKFRmDmzE0dlKrBam4IfYJnqqqIthKYCy6IEK1lkBlYsQgsh7EKAhaoVvvkL2iD3pKeVxPSZU6ILAMEVT2Ze45siYbeFUCLACpIeWgjRYDYWBFgt0ewQ93hwf4ZNNhUpkmCZrkIbZ2B5Q6swVcKwDAEWqjagAitoLYTpXL+56TPnJAYAgivuqbwNh3InSnFe+wMj10IY3OoVBIvbQmhmYFlUgRUqMgPLhFo2XVM2M7C8gV4oFHJn9FKBBRsQYKFqhRVYG4NagRXOrUJIgAUAwRXPhhpN2fKrmPvaz8lBUDDEHY1mkxnibloILRjini6zCqGZgZW2KLQpNgNLygVanJ/ABgRYqFq84OrlpgDNwEqlHffKTiwSVixsZmDZc7AEANu4Q9wjJsDKnhwQdgRCMpV2q+kIsNAozAViM8S9xYoh7pm/I0UqsMIWthC6XSHh/FN4M+KECizYgAALVQvyDCzvlYxoJJS7Cs8BAgACy1RamYU7mqi+DRRvxQpD3NEo3CHuo00Flg0BlqnAKhJgWdhCmPKsjO5lPk6meT1D8BFgoWrm6uWYlqgkaUOAZmB5h7XHPDOwWIUQAIJrYAVW5m9mYAWDN8CiAguNwszAcoe4ZwMsG1oIi+RXeaGWLW2ExVYhzHzMIlOwBwEWqmauXm4ztkVSsCqwvEFVNJyrwKKFEACCywRVuRlYZr4Ir/1BYOZfSQxxR2NwHMd9fz2hMMAK8CqE6TKrEHrbCm1pI0yWmIEVizDiBPYgwELVzBv9bca2SgpWgOU9WYmEQ+4Bg6vwABBcpionFikc4s5rfxDkVWDxPUUD6OpPuj+rE7MzsNwWwgCHsKayqlgLYchzFpuyJsAyM7AY4g57EWChav3ZN4LbjstUYL3TEw/MEEFzpaMpEs4sUxsN590OAAgetwKLIe6B1BOnhRCNxVwcbmuKqLUpE1y1NmVen/riAQ6wKmwhtCS/cmdgRSIFQ9wjDHGHPQiwUDXzRn9qeybAcpxMiBUEiWT+sESzygclugAQXO4MrCgzsIKoL84QdzQWM1/WtA9Kds3AooUww1xAj5WswLLjeYDdCLBQtf5E5sW0rSmicW0xScFpI0wU9JpHI5ToAkDQ5QKs7MULt4WQk4MgoAILjcZdgbBIgBXoVQizv55FWwg9N9lSeVRqiLs5T7HleYDdCLBQtX5Pq4W5MrQxICsRmkqrWGEbCScxABBY5iLFwNd+wo4gYBVCNJpN3f2S8iuwWi2qwCpSgJUX4tiS25iAylxQN9wL7Iw4gQUIsFA1U4HVHItoUnawZGAqsLInK24LobsKIQcIAAiidNpxr3KbGVhNDHEPlF5aCNFgNpoKrNHN7m25FsLg/gznAqyBCZb3trQlCZZ7XhLOP4U3H6e4wA4LEGChavFiFVjZK0WNzpzEmODKHCASlhwoAcA23jlXA2ZgEXYEQk886f6bAAuNwHQ2TCxSgdUf4Aosk8cUD7By/7ZlBlaqxCqEpkqYRaZgAwIsVM0cOJtjYU0YHawWwlJtJFRgAUAweQMs2seDyVux0p8M7sk/gsN0NuS1EGZXIQxyC6FjKrCKnLGGQiF3DpYt15VLzcBiiDtsQoCFqnkrsCZlD6yBayF0h7izCiEABJm3yqqpsH2cq9uB0OupwKKqDo1gY5EAqzlqwRD3Mi2E3tttqcAqnM1rmI8Z4g4bEGChat4ZWIFrIUyZYYmmhTBzoGQpdQAIJncFwkhYoVB+gEXYEQx5Q9xTabfKA/ArM8R9kmcGVmtTdgZWPLgBVqrMKoSZ2zN/WxNgDVqBxTEKwUeAharlzcDKHliD0kJorrab9hEzDyXJFQ4ACCQ3wIrm3iLForRnBEmP54Tfcfi+wv/M+2pvBZYZ4t4X4CHuTsUVWCP2kOoqlc7vDDHcIe62PBGwGgEWqmbmRzTHwu5wyeC0EBYOcc8cMFJphyu2ABBAudmHuROEGKsQBkrhzCCqquFnjuMUbSE0Q9zjqXRgg4t0mRlYkifACuj+FzIX0KORwlUIsxdZLHkeYDcCLFTN224xcXTQAqziM7Ayn+MgAQBB01+sAosAK1AKW66CvIobGl93POW+1zbvs6VcgCUFdw6WCeZKVWCZ1jlrWghTxVsIo9kLLimOUbAAARaqZt7st8TC7pWhTT3xQFwNKhyW6L0iz4kMAASP2xbvCbDMMHcqdYKBCiw0kk3Z9sHWWERtTVH39mbPa1RQVyI0uVSpAMvcHIRzjkqY/SxsIcwtNGLH8wC7EWCharkKrIjGt2UCLMeROnoT9XxYNeFWYBWsRCWxEiEABFEiaVoIi1RgJXndD4KeggoshvPDzzZkB7h72wclKRwOuSFWUCuwTGVVZLAWQktems1s3mik+BB3AizYgAALVTMVWM2xsGKRsMa2xiQFo43Q7TUP58/AkqQEy6kDQOB4FyYxoqzwFCiFJ/v9BFjwMVOB5W0fNMxKhEENsFLZACs0SAuhLXNp3dXRC4aCmQ6RJMcoWIAAC1VJegZHmjf7QZqDlXRbSTIHhlAo5J7IUIEFAMFjqnGamYEVWFRgoZFsKjLA3WiJZgKs3ngwf4bNteLSqxBm/k7ZEmCli8/AioRZKRf2IMBCVbxzI5pj2QArQCsRxotc6TBlu5zIAEDw5FYh9ARYUWZgBcmAIe4EWPAx00I4cVTzgM+5FVjJYFZgmcqqSMkAy6xCOGIPqa5M0UCsoIXQnKfYMgsMdiPAQlW8Vy1NBdaEAAVYydTAXvNYmCvxABBU5Vch5OQgCMzAa3NO3B/Qk38EQ7kWwpaYqcAK5s9wroWw+OdzM7DseG025x4DViE0FVi2JHmwGgEWqmLe6EfCIUXdFsLMFaJN3Y0/xN2U6sbC3ivxrPQBAEEVLxdgUakTCOZkv70lM7OTFkL4WdkWwmz3Q1BXIUwPsgqhyXFsCbBS6eIzsMw5WIqLLLAAARaqkluBMPejZFoINwagAqtwFUKJYb4AEGTFhrg30ToeGOm0457sj2vLBFi0EMLPNpYJsFpjwR7ini4x88kIh+1ZhdBxnJIzsNwh7jY8EbAeARaqYsruzfwrKWgthKbXfOCVeIa4A0DwmCqrWJEKLGZgNT7vrCCzajIVWPCzjdkZWJOKrUIY9AArW1lVIr9yK7NsmP3k3cfCGVgm0ErSQggLEGChKv1FKrDcAKun8QOs3DBfTwUWV+IBILBMSNVc5MIFr/uNzzsriAALjcDMwJpQZIh7ixtgBfNn2GQ2oUFaCB0LWgi91VUDK7C4uA57EGChKibA8lZgTXJnYAUhwMr2mhc9keEgAQBBU3wGFkuUB0VPNsBqjobdk39aCOFXjuO4LYQTi87Ayg5xD2oFFi2ELm8FVuEMrEiYYxTsQYCFqhSbgTUhQDOwTCluLDxwBhZlugAQPPEyreNUYDU+02rV2hRxQ8o4qxDCp3riKTdgLbYKYWtTdoh7QFchpIUwx1tdFY0UX4UwxbkJLECAhaq4FVjRiHubuULU0ZNo+Csi5SqwKNMFgOAptwohrWaNz1RgtcUias5+j6nAgl9tzLYPtsTCamuKDvh8S/b9d19AQ9jBViGMZG+3o4Uw9zoVCRUPsBKNfuIFVIAAC1Up9kZ/fDbASjtST7IuD6tmcjOwcvtnrnowzBcAgqd8CyGv+42u11OB1RwlmIS/dfRmAqzxbQOrr6TMz7Ek9QW0AitlKrBKlGCZHCdlQYBlqszCoYHPh7nQnuLiOixAgIWquKsQFlypNoNRuxJ1eVg1kywyxJ0KLAAIrngqc1zzXrgwbfIsUd74TKtVJsDKnPxzQQp+1dWXuRI8pmVg9ZUU/BlYToUthDa8NJvqKm9XiMF4E9iEAAtVKXalWsq1ETZ6gOUeLMLeAIuDBAAEVSKZed0vvDCT+Ryv+43OnOi3xaLuexdaCOFXW/ozAdbo5vIBVtBXISxsmTMi7hD34CdYproqWiTNi3KRBRYhwEJVis3AknKD3LuSJS6ZNAhTgeW92mFW/mClDwAIHlON0xQZ2EIY53W/4ZkZWC1NEfd7TAshjM6+hL5y89N66OUN9X4oknIVWKNbYkU/3xrwCizTNhcqEWCZLCdtQXBjLpwXW5HRvbjOMQoWKB7nAxWKuwFWQQXW6GBUYCXd1agGVmAxCwUAgqfcEHde9xtfrgKLIe4Y6L7n1+uWx1drXWefPrjrpHo/HG3py7yRHlOiAsusQtgXwADLO5i9ZAth2J4WQlNdFSvSQmhCLY5RsAEVWKhKsRlYkjRhVLOkxg+w4sWGuIfNDCwOEgAQNMVe92NRTg6CojeeqWhpbYp4WgiDd/KP4enszbxx7ezzxypEXf2DzMAyqxAGMMDyhlLFqo6k3AyslAUJlrmoXuy5MOcmNjwPAAEWqjL4DKxGbyEcODAxFqWFEACCigqsYOuNZ76H3gCLFkIYZuZUT78/AqxBZ2A1BbeF0BvGDNZC6NgwA6vIXF7D3JYgwIIFCLBQlf4SLYS5GVgj/pBqyvSbx7xD3FnpAwACq3yA5VhxohRkPYlsBVYstwohLYQwuk2AFfdHIJSbgVW+AqvXJ4+3ltKVtBBatQqhmctbbIi7qUTjtQzBR4CFqpSswArIDKxEkQqsqDsDy4KjJQBYJjfEPXeS4P03r/2NzZzot1GBhSK6+zM/H91xf1yB3dJXvgKrtSm4qxA6Q2khtODCQq4Ca+Dpe268SfCfB4AAC1UptQrhxOwMrC2N3kJY5GpHlFYSAAgs89ruvTDjPWHgtb+xmQCrxTPEnQALRpfbQuiPiibzeNoHWYUwiDOwUnkVWMXPJ0ywZUNlbNkZWGYVQhtK0WA9AixUpb9EBVZQWggTycyBwLucuvk3VzkAIHjcyuJI7sJMLK8Ci7CjkfUkBlZgMcQdhmkhjKfSvgg2B20hjAV3FUJvC2GJ/Mq9PW1DgGUuqhcJsMwxigWmYAMCLFSl1CqEk7IthD0JKd3AVwMSRQ4WuUGJHCQAIGiKtcZHwiH3RCk+hBOEf76+SS+s3VLTx4fq9BVrIeSkD1ldnuHtfpgrNdgQd1OB1ZtIBa4KyfH8WkZKDnE3s59G4hHVl6muKjYDK2JaCBv4nAuoFAEWqlJqBtb4bAVWWiFt7mvcQVjFViGMUoEFAIFlwgxv1VUoFMob5F6JzT0JHf9/D+ukXz5S+weJYeuhhRBleAMsP8zB2pJ9D12yAis7AyvtBC+IHUoLoQ0VWCm3hbDYDCxTgRX85wEgwEJVSs3AikXCas8ebDd2xUf8cdVKssiJTMwd4h6sNwoAgNIXZkz7eKLCsGNDd78SKUfrt/TT1uEjvW4LYdQNsFiFEEa3J8Dq8UGAlZuBVX4VQil4g9wraSE0DRKN3O1RqWIroxu5GVjB+hkAiiHAQlVKvdGXcnOwNvU0boCVKLLix1CvwgMAGoepYihsjR/qxQtv+1G3TwZCI/d9aY1F3DlnVGDB8P6u1vv31nGc3Ays5uJD3GORkFuFFLQ5WCbACocyVbDFmNstyK/c9sCiQ9xpIWxYazp6tXZzX70fRkMhwEJVSs3AknL9+j0+mCEwXLnVqLyrEDIoEQCCyoQZsUhhgDW0eUm9npPJLf2N20ofNOb70toUUXOMCizk2+IZe1HvFsL+ZNoNJEq1EIZCodwcrAZ+v12MKSYq1T4o5WZjWdFCWGYGFi2EjSmeTGv+jx7Ux378oPv9xeAIsFCVchVYrU2Nf0B1Z2B5K7C4ygEAgZW7cFE8wKq0+pYKLH/qyavAYgYWchzHUbfn97anzr+3ndkwLRSS2mKRkvdzVyIM2GqauQqs0gGWeXtuQ4CVKHJOYtBC2Jg6euJ6pyehDV3xvPl7KI8AC1XJzcAa+KNkDrZBqMDyXu0w/w7asEwAsF067bgnCU0FFVgm0Kq4hdBTgcUbU//oSxRZhZAAC8q8p/VWQdS7AivXPhhVuEjbmNES1AosE2CVOVs14ZYNM7BSRVZGN9wWQiqwGkqXz2buNQoCLFSlXAWWuSLU28A9+abKKlZ0FULe8AJAkHgvTMRKzcCqMOzwzqPpJsDyBcdx3JOE1ibPKoSptBUnwCivMGiu9wVY83jGNBdvHzTcFsIGfr9dTCUthOZzNuQ2ZWdguRVYjpyAV6Ol005gwh4/zdxrJARYqEqpVQilzNVNqXEPqOm0416J8wZYTRH6zAEgiLzVVYUVWEOdgdUTJ8Dym3gq7Q57bvVUYJnPwW6m4smo9++tW4FVYv6VYSqw+gO6CmH5ACvzd9BDGyl33lE4n1HKjTeRFPhZSl/8zZPa93/v1vrOxh98TgXW8BBgoSrxMi2EjT4DK+HpI89rIcweJBIBP0AAgG28rWSlAqxKL154j31bCLB8wfs9aY1F8i6+McgdfqvA6swGWGNaiq9AaAS2AsuzCmEpprXShhlY5SqwIp7zlKDP6P3nyk3qiaf03Not9X4oVfOG5FRgVY4AC1Uptwpha4PPwPKepHivbLAKIQAEk6nCiUVCA2bONEWGPwOr3pUcyDDvR2KRkGKRsNsWKjEHCwN/T+s+A6s/NwOrnJYGv2BcSm4GVgUthBb8+pafgWVPgLW5N7O4QUdPvM6PpHre1xgqsCpHgIWqlJuB1egthN4Ay1uBFRviSQwAoDEkkmVaNKJDW8CjlxZC3zHvR8wFtlAolBvkzjHdeoWBVb1XIezKrkI4aAthNKirEGb+LtdCGAnZU4HlrkIYGSTACvBrWX8ypb5sq6wJshrZlj5vgBWs39+tiQALVSk3A6vRV0XJayEMFwuwgn+wBACbxFOZ41WxizJDfe3PX4WwMY+DQWPej5gRB1Kugry/QS+2oXYKf0/rXYFlTm4HHeIe0AosM8up7Ays7Eu1DTOwUm4L4cDjU8SSCixv4PNOd+MHWN3MwBoWAiwMWyrtuC+S5SuwGvNKQG5YYkghz8Ezt9JHY+4XAKA4c1GmcP6VNPTq2/wAq/HfaAeB+Z60NeUCgWYqsJBVOMS97hVYZhXCQSqwTEVhX8BC2EpmYIUsaiE051zFWghDoZB7e5AXmfJWXXX0BqCFkBlYw0KAhWHzzosoNwOrUa8ImZOUaMGVDjMPK2gHiE3dcX3i6of064dX1vuhAEBdmONasRbCoc7A6strIWzM42DQmBYNUyEu5b6vzMCCOZk0+UDdK7DcGVjlh7i3uAFWsH6GHVoI85jWwGIthN7bg3yBvdMTYG3uafwLQ96qTyqwKkeAhWHLW62pTAVWT4NeEUqUOFCYj4N2tfaRVzfqyVUd+t0/36j3QwGAujDtgcUuypiB35UGHd55FoWrm6E+zAW1Nm8LYfbkn1UIg+Oyv67QF3/z5JDbyszv6aTRzZLqP5PGVIQNOgMroKsQpsqsumeYT9kQYKXKVGBJwb3A7tXpqZLsCMAMrLwKrAYt+KgHAiwMm1mBMBwq/mLa6D35plS38Er8UJdSbxTmhZNhwwBsVW5hkmpmYPG66g+9icz3oZUKrMDa1B3X/z34mv7y9Bqt2tQzpP9rfk+ntDfnfVwvW7JD3AedgRXwFsIyBVhuC6ENAVayzAwsSYq4FVjBfS68FVjvBGAVQu/FrR7eJ1SMAAvD1u95ox8qcnQxB9R6X8EarlwLYf6+mavwQVvlw5SuNmrgCADVKjvEPVrNDCzemPpBbzzzvcsb4h7LDnEP2Aputnpy1Tvuvzd0De0E1/yeThnTIqn+718rnYHVkv0ZDloFVkWrEIZDefcNMnPeESvVQmgqsALcQrg5cC2EVGANBwEWhq3cCoRS418Ryg1xz/81MQeIRMCOlmZGCy+gAGwVTxZ/3ZekWPZEqeIAixZC3zEXaqjACq4nPAHWpu7hBlimhbDeFViVtRCaQLZR32+XYqqqKmohDNh78mKSg7RU2jDEvbPPO8S98QMsViEcHgIsDFu5VgvJ00LYoAfURIkrHVRgAUAwmdmG5VYhrHT+IS2E/tOXGDgDy7yHYQZWMDyxssP996bu/iH931wLYUv2Y39UYI0epIWwJRrMIe4mlCrXQhgO29NCONgMrKgVLYSeGVg98YYPLrtYhXBYfBdg/f3vf9dRRx2lbbfdVqFQSH/605/yPu84jr7xjW9om222UWtrqw499FC99NJLeffZtGmTTjzxRLW3t2vcuHE6/fTT1dXVNYJ7YQdTbl9s2K3kGeLeoIGImXMSLazAGuIclEZhXjjjqXTFFQYAECRlZ2CZFsJkhTOwWIXQd4qtQthMgBUYyVRaT6/ucD/eOMQKLPN7aiqwehMpNzSoB1OBNWgLYYPPnC2lkhZC8zkb3raWOi8xchVYwX0yvC2EaSe3Umej8q50GrTf363JdwFWd3e33vve92rx4sVFP/+d73xHP/rRj/TTn/5UjzzyiEaNGqUjjjhCfX197n1OPPFEPfvss1q6dKluu+02/f3vf9cZZ5wxUrtgjUErsDwr+9TzDcBwmR7yUjOwghbyeEtXGzV0BIBqmONa0RbCyNBmYHnbebrjyYa/UhwEvWUqsGghbHwvrNuS9/5l4xBnYG0paCGU6tdF4DiOZwZWrOx9WwO6CqHbQlg2wMq/b5ClSpyXGCbYCnQFVl9+22Cjz8HyXtzqpoWwYuUj/TqYO3eu5s6dW/RzjuPoqquu0sUXX6yPf/zjkqQbbrhBU6dO1Z/+9Ccdd9xxeu6553TnnXfqscce07777itJ+vGPf6x58+bpe9/7nrbddtsR25egq3QGlpQ5qA5WAu03pWZgxQJ6gPDOvuqJJzW2tfwbJgAIGhNOFassbhrixQvvibTjSD0NeBwMGnOFOz/Ayl1sQ2N7YlVH3sdDnYFlWggnjm5SJBxSKu2opz9Zl9/bvkTu4u+gLYTZIe5BnYFVroXQhFuOBQEWM7DyVyGUpI7euHZQW50eTfW6+igeGA7fVWCV89prr2nt2rU69NBD3dvGjh2rD3zgA1q+fLkkafny5Ro3bpwbXknSoYceqnA4rEceeWTEH3OQDVaB1RILK6TMi2gjlkWWmoFlDhCptBOoK+o9/byIArBb2RbCIczAchxnQDUEc7Dqr1wLIRVYje/JlZkB7tuNa5U0nBZCM3Mq5oac9VrYZkt/5kQ9FMoPXItp9EWTSjFvscsNcTeroKcsCLDcGVilWgjdGVjBfS3r7Ms/jnY0cAVWPJnOez/Be4TKNdSlwLVr10qSpk6dmnf71KlT3c+tXbtWU6ZMyft8NBrVhAkT3PsU09/fr/7+3LDHzs5OSVIikVAi0bi/HOaxb4196OnPvDFoioSKfv1kMqlYWIqnpc6ePo1rGbm8tBb73RfP/N9IuGD/0p5Kpf74gCv1W/M5H0w12+7uz/2fzu5+JcY1l7l3bbddLbZt17bruX32O9j73Wte90P5x/9EIqFwKHPy0J9IDfo4vCeSppKjo6tPE1rLn4gW4vtd2+33ZI9zzZ73LeYQ3htPBHa//brdWm//8WyAdcgek/Wrh1dpY1df2a9ZuF3TstcccdTWFNGWvqQ2d/cpMbapqsdV6fa93tmSGY0yujmqZLL8iW00lLtYXOlz2AjvH+LZz4fK3dfJBADJVLqifWmE/S4lnp09HHKK76upRuuLDzx3beT99trckzn3jEVCSqQcbdjSO6Tf8ZE02LY7evID9u54sqEzh6Godj9Djo9rLkOhkP74xz/qmGOOkSQtW7ZMH/zgB7VmzRpts8027v0+/elPKxQK6be//a0uv/xyXX/99XrhhRfyvtaUKVO0aNEinXnmmUW3tXDhQi1atGjA7UuWLFFbW+OWJm5Nj70d0q9fjuhdY9P6wsziaf/X/hlRVyKkC2clte2oEX6AVfrn2yH96uWIdh+b1lme/YunpAsezWS/39kvqeahnY/41vefiWhVd+bg98X3JLVre50fEACMsDveCOvO1WF9cGpan945/7j2j7Uh3fxaRLMmpHX6u8pf4e5KSF/7Z+Y4MTbmaHMipC/vldQOo7faQ0cFFq8I68XNYX1215TePznz9vcPr4X1wNqwDt0uraN2CG7lQtB5f+fOfHdK1zwX0bgmR4tmV1aVlEpL5z+S+f+X75vUVf+OaH1fSOe8J6ld6vB+aGWX9IN/RTW+ydHCQfZhXa90+VNRtUUcfWu/4FRh/fudkP7v+Yh2GOXoy7OK79ffVof01zcimjMlreN2Cfbv78+eC2tFR1jH75LS/lMGnr5f9e+IXtsS0n/sntJ7J/r29L4qX3ssoq5kSFNaHK3vC+mTO6V04LTG3NeNfdIlT+ZqiUJydOX+qbIts0HR09OjE044QZs3b1Z7+9BfYBuqAmvatGmSpHXr1uUFWOvWrdPee+/t3mf9+vV5/y+ZTGrTpk3u/y/moosu0vnnn+9+3NnZqenTp+vwww8f1hPrF4lEQkuXLtVhhx2mWKy2M426H18tvbxC202bqnnz3ld025c8ca+6JM3e/wC9b/q4mm6/nFrsd9+Tb0ovP6tpUyZr3rzZua+dSuuCR++WJB1y6GEDZkVtzed8MNVs+0cvPyR1d0uSZu3zfh20++QR23a12LZd267n9tnvYO/3ir+9JK1+TbvtvKPmzdsjb7vdz6zTza+t0MTJUzRv3j5lv86ajl7pnw+qKRrW5HGt2vx2t9677wc0Z+eJQ3o8fL9ru/3r33xU2tyhOe/fR4fPzFTz//uuF/XA2te1w4yddNihOwdyv/263Vpu/57n10v/fEq7TB6lT8/dR9c896B60hHNnXu422ZWbrvdCUmP3CdJOuZjR2rJmke1fk2nZu3zfn1kiO+HKlVuv5e9slH61+OaPG6M5s07oOzXWdPRq8ufelDJUETz5h1R9ba3tkq33fzcev3f809pwoRxmjfvA0Xvs+qBV/XXN17WdttP17x576nZtreGard989uPSx0bNXvv92re3gNnOi9Z+5he2/KO3rv3+zRvr/xz3kbeb8NxHH3l0bslOdpj+iStf2mjtttpd807eJetvu3hGGzbL6zdIj25XK2xsHoTaTkK6ZDDjlDrIC3DQWA63YaroQKsnXbaSdOmTdM999zjBladnZ165JFH3MqqOXPmqKOjQ48//rhmz86EDvfee6/S6bQ+8IHiL36S1NzcrObmgS1TsVisLgfzWtsa+5F0Mm8IWpoiJb92dq6kEulQXZ7HavbbyY6Ia4rm71806kn6w2X2vY4/O8PZtndOWX9Kw37sjbbfbLtxt13P7bPf9bG1t5/Mvry3NOVvJxaLqaUp83HKGfx4lnAyIwlaYxGNzq4g1pdsvNfVoH2/exOZCo3Rrc3u121tyrwVTjq570/Q9tvv263F9p95c4skafaM8Zo6LtM5EU+mFXfCGt1U/nQnFoup37SXRsNqa2nWqOzg9P7U1n//Wmy/e7Ndg2NaB39OxrRlXrjiybTCkWjZmVGVbHukDLrtcOZEPhIOl3mvnf3ehob2ffL1fpdgxiU1NRX//7FI5vlyQuWer8bbb6MnnlQiO6B+x0mj9feXNmpLf7qir+nH/e7LnnZNHtOiVZt6JElxJ6T2AOQOg6n2e+G7AKurq0svv/yy+/Frr72mp556ShMmTNAOO+ygc889V//7v/+r3XbbTTvttJO+/vWva9ttt3XbDN/97nfryCOP1Oc+9zn99Kc/VSKR0Nlnn63jjjuOFQhrLD7IKoSS3Pa6hhzini6+CmEoFFI0HFIy7VS8GlUjyF+FsPG+XwBQLXeIe2TgCaA5FiQqGPZtZmC1xiLuCmIskV1/5vviHYrdnB2A3Z8IzvHcRmb+1T47jFdbU1QtsbD6Emlt6opXtIqgWc7e3HdUnX9vt/Ql8h5POWYVQknqT6bUNkhg1yjMlJtyeZz5XJAWVSrFHeJeahVCd4h7MJ+LzmyqGwmHtG12oYbCOVKNpMtdNCKqtqaIeuIp9fSnJEYNDMp3r3D//Oc/dfDBB7sfm7a+U045Rdddd53++7//W93d3TrjjDPU0dGhD33oQ7rzzjvV0tLi/p8bb7xRZ599tj760Y8qHA5rwYIF+tGPfjTi+xJ0/e4b/dLD2ZvCjqSQehpwZRRzklJstY9oJBNgBWmp2h7Pm7QeVsIAYCFzUaLcKoSVXLgwFwFamyIalb2S09XfeMfBoDHHuVbPKoRNQ1hdEv6UTKX1zOrNkqR9ZoyXJE0c1aw3O3q1obtfO0wcfJatOZk0wZUJOev1fsg8njEtFQRYngvJvfHgBFgmhwmXGQpkPpf270jnmjGrC5YMsLK3JwP6WtaZDXXbW6Ia35ap4Onobdyh525o3hJVW1NUPfEUF7oq5LtXuIMOOkjl5sqHQiFdcskluuSSS0reZ8KECVqyZMnWeHjwMAFWc6xMgOVWYDXeL6Q5UMSKHChikcyVvaBUYMWTabcsV1JDBo4AUC23AqtIgNUUzRwLKnnd782rwMq80e7qa7zjYND0eoJFw3yv+5Mc9xrV82u3qDeR0piWqHadnClfmDi6SW929GpTV2UVGoUB1qgmU4FVn58L83pRSYAVDofUHA2rP5lWXwUVoo0i5VZgVRJgjchDqitTWRUtUiEsSdFwOO9+QdOZDavaW2Ma25pZGbSRK7C6CyqwJDpgKlU6eQAGYd7sla/AyvzdiL+QJtApdqAwV+KDcpDoKQgYe6gUAGCh/mw4Vdg67r0tXkHlrTcoGZ2twOqmsrXuvMGi0ZwNsOIBOvG3zROrMu2De08fp3D2ouOEUZkT3E3dlZ3g5k4mMz8bbc3mhLK+FViVtBBKUkv2Z7oRR3aU4rYQljlbNdeYUzZUYGWPPZEST4jbQhiQi+uFNmcDrLGtMY0LQAWWNzTPBVi8T6gEARaGLV5JBVYDB1hJN8Aq0kIYrvxKfCMovMLYiN8vAKhWokwF1lBaCHsTuVY1U9HRRYBVV4lUrtK4rWgFVjCO5zZ6wjP/yjAB1sYKA6zCwMitwKrTBb1OtwKrsmHHJpTtC1AFfbqCCiwzsL5c905QDDoDKxzwGVhuC2FM49tMBVbjBlje0NyduUcBQUUIsDBsuRlYpYe4m/eIjXhANS2ExSrMcicywThIFLZ4cgUAgI3MHKTyr/sVBFjxzH0yM7DMG1NeV+up1/M+xNtCaBaiIcBqXE+s6pCUm38lSRNNgNXVX9HX6C6cgVXnysmhVmCZn+lGfL9dinmpLRdghbKfSwU0tPFKDDYDK2DdIYXMEPf21miuAqsn3rAD/N0KrCYqsIaKAAvDFvQKLHMiU+xAEQtYmW5h4t+I3y8AqFbZGVhDWIXQ26pmZtgwnLW++rLHtXAoP6BsooWwoW3o6neXoN97+jj39omjmyVV3kJoZk4VVmDV6/1Ql1mFsIIZWFKuFbY3QAFWuqJVCO2ZgZUadAZWsM5NCpkWwvaWmMa2ZgKstCN1Neix1Q2pW6J1n7nXaAiwMGyVrELYHMm82DZiIFK2hTBgFViFJ1ZcAQBgo3iZ41osO8S9khlYfZ4Ay7wx3cIQ97oy70PamqJu1YZEgNXoTPvgblNGuye10jBaCOPFVyGsV/DsrkI4xAqsIM7AipRJsMxLtQ0thBXPwApomtfpmYHVEouoJVtAsblB2wjzhrg313fV00ZDgIVhi5sh7kWuVBumAqshVyF0h/kOPHDm+syD8Ya3cGh7IwaOAFAt0x5Y7QwscxGAFkL/MMe1llj+2INmViFsaG77oGf+lZRrIRz6EPdsBVb273otarNluDOwAhTEmpfaEC2EknLnHKVnYGVbCANycb2QOwMrG1SbOVjvNOhKhF3Z15ZRzVRgDRUBFobNVGA1lwmwYg3cQphwhyVWdyLTCAqvMPICCsBG/ZW0EA5xBtZohrP6gmmt8g5wlzwVWAE5ntvGrEC4z4xxebdPGPIMrMzPx2ifVGCZAKvSFkITzPYF6P1bJS2EEVoIXUEf4p5rIcz8TpiKy0Yd5O6du0cF1tAQYGHYys0KMbK/jw3Zk+9WYEVLz8AKSguhCRhHuSXovIACsE/crbytdhVCTwth9kDIKoT1ZVqrWgsqsEww2Z8gwGo0iVRaz6zukDSwAmtSdgbWxu54Re1lJjAaVViBVa8ZWEMd4p79uW7E99ulpCtoITTXmNM2tBAOtgqhGeIe0DA+N8Q9E1y5g9x7GzPA6vKuQkgF1pAQYGHYchVYZVYhdFsIG+8X0oRTsSIVWLmDRDAOmOYqwKQxzdmPG+/7BQDVKtdCGPVcuBjshNhcBPAOcSfAqi83VCyowDJzVKjAajyrNvWoL5FWayyiXSaPzvucqcDqT6YrCqFy1RCZnw+3AqsOv7eO4+RmYA21AitIAVY2sCnXQpgb4h6M9+PluLN5S83ACngFVmEL4bjWzO/45gZtIcy1Lcfc1xsKCCpDgIVhi1fQQmjeJzZkC6FZhbBIqa67CmFQZmBlvz+Ts1csg3QFDwAqVXaIu+e2wapvvWGJdwaWDYOG/arHEyp6NUUyHzPEvfG89na3JGmnSaMULqhKaWuKuO9PK5mDZVoFTWBUz1UIexMpt12s8gAriKsQZv4OVxJgWfDra845SlWkRQN2blLIDbCyc+HGj8r8/U6DthB2eULzNiqwhoQAC8NmBp6WDbDCmaNPIx5Qy65CGA7WqkXmjZspuWfYMAAblWuNb8oLsMq/9vdm29EyLYSZN6bJtONWLmPk9ZWYgdUcM0Pc+d40mtc2ZAOsyaMGfC4UCrmD3DdUMAfLPZnMnkiamTTd8ZEPnruy7Yzh0MDAtZRAtxCWmYFlAqyUBRcHKp6BFZDukEJmtUEz+2pstgKr0WdgjW6OupWfrAJfGQIsDFslM7BMC2Ej/kKaKxixIlc6YgFbqtassjNpTK7k3oYVXQDAy1RWFa/ACnnuVz7sMIOUW5tysy0kLg7Uk7sKYeEQ9+z3OpV2Ajs7JqhezQZYO08aGGBJ0sTsRbmKKrD6C2ZgZX9vHUfq2wrz0dZ39umU6/6ppzcOfI+5xXNiW659zsu0EAZplltuiHvp58C8VAe9utVxHPf4VLKF0Iw3CeD793TacX8v2lszv5u5GViN10KYTjtutdWo5miuAosRLhUhwMKwVTQDq6FbCLMzsMq0kgTlza75/pgKrMxtnGgBsEu5CzORcEjmPGqweUk9iWy7WlNEkXDIM0+n8Y6FQeGuQljYQuj5XjMHq7G8tqFLkrRzkQosybMSYQUBlql6MkPTvZVPW2Mlwr8885aWvbJJ964Z+FpjBsqPybZKVaLVnaETnNcYk8OUC/FClqxC6N2/kkPc3Qqs4L2OdcWTMhml20KYDbA2N2AFVo+nUnJ0c9RdRItzr8oQYGHYKlqFMPupRhwqWW4GVtRdjSoYR0zzgjlhVJO7XHGQ3gQBwGAcx3EDjGLHtVAo5FmJcLAh7vkr3pmqji39jfdGOyjM92RAC6E3wEoG45huC7eFcNLoop83LYSDVWAVVkNIUtgTPPdsheB5xZpOSdL6voGf6+ob2gB3yTPEPRmc926mE6DIdWSX20IY8ATLO9cqMlgLYQCfCxNSNUXD7s+6aSF8pwGHuJvf8Ug4pOZoWG3NVGANBQEWhq1/CEPcEymnoqXH/SRZrgIrHKxBie4bt6YogwQBWMlbfVPsdV/KtZslBpmX1OeZgSXlqjp4c1o/vSVaCKORsHvhhgqsxtHdn9S6zsxsq50mDlKBNcgMLG81hDc0yr0fqn1VxIq3MgFWTzI0IGDrygbd5nWjEu4Q9wC9d3NoIXR551oVWx1dCt4K6V5mgLuZfyV5Wwgb78JQV0GbMBVYQ0OAhWEbygwsqfHaCBPZcKpYqa53OfUg6MlbCYMXUQD28b6el7owU+kKtO6Kd02mAsu0EPK6Wi89bgvhwFDAvI/pD1D1StCZ6quJo5o0tq14q52ZgTVYC6H5vTTVEMbWGqwcT6b18vot7sdmXwzTQjh6CBVYwRzinvmbFsL8qqqSqxAGuAKrszc7/8rzOzGugVsIvQPcJeUqsBrsXLleCLAwLOl0rtWiXAVWJJR7oW20q0JlK7DcNpJgXK3tdlsrop4Aq7G+XwBQDe+qsqUqsMztg7WamZPIwgqsLgKsuskN1h/4vTWzPGkhbByvuu2DxauvpMpbCLv6TRV6JC8s2VqDlV9avyUvMH+1VIA1hAqs1gAOcaeFMMe7fyVnYLlD3IPzM2CYCqx2TwXW+LbsKoS9iYarwOv2FA5Iciuw4sl0YM4ttyYCLAyLt8y+XAVWyLMEcKNV9JgXkPJD3BvrBbMU873JVGBFs7cRYAGwhwmwIuFQySvclVy8SKedXAthEwGWX/S4AVbpCqz4IK2hKO6uZ9fqd4+9MaLbfO3twQOsCRUGWIXVEMbWaut5Njv/ynh1Q0/ex+Z1YihD3FsCWIFVUQuhW4EVjPfjpZjB7OFQZj5bMbkh7sF7Ljb3DmwhNP9OeVYobBRdBauetnmOS5x/DY4AC8PS73mTV24VQik3MLXRDqplh7hnDxKJgFzlMFcX8yqwGuxgAADVMK/5TWUu95ugo1yA5R2iXDjEnRbC+ukpqIrzaqaFcNhSaUdfuulJ/ffvn9Gajt4R265ZgXCnEisQStKE0WYG1iABVrx4y97WGqxsBribwKywhTAXYA19iHujvdcuxxQdlQuwTJYT+AAr+2RES8y/knLnK4GswMoGWO2eULclFnFnvzVaG2FXQWjeFA2755aN1rFUDwRYGJb8VovSBxbJ05ffYL+Q5mBRbP/cVQgD0m7gVmA1Rd03bFwBAGCT/grmOprjQblh395jXWGARQVW/fSVWIVQ8lRg0boxZG9v6XcrDl9Yt2WQe9eOCX12LlOBNWmUmYFVfoi7CahGjVAFlhngfti7J0uSXn27Bi2E2cfaiKt+l5KqoALLVCMFvIPQ005Z+rkIcgVWZ/Z3or01/3diXHYlwo4GC7CKVX2aY9PWWDQiaAiwMCzmKmVzNFx2uKIktWbT8UYLRMwBoNjVjqYAXeVIpx33e9PWHFFbg7Z8AkA1zIWZUvOvvJ8rt4CHqYBojobdk6vRVGDVXU8iO1i/SAWWqbrrp4VwyN7anKu6enld14hs03Ecd27UzpNHl7yfqcDqS6TLvqcprIYwtsaqzI7j6LlsBda8vaZJkt54pzevqnNL3/BXIQxSgJV2A6zS9wlb0kJYrivEMOcrwRziPrCFUMoNcn+np3yVpd90FQnNzb97WK14UARYGJZKViA0Wht0KHi5GVjRCk5iGoW33aWtKaK25sb8fgFANSpZmMQNsMoEHeYEstVT6cMMrPrrjQ/8vhjNsdwAXQzNW5v73H+/tH5kKrA2dse1pS+pUEjaYUJbyfuNaoq471PLtRG6A5UL5qO5qxDW8Pd29Tu92tKfVFMkrAN2nqimsKNk2tGqTbk5WMNpIWzUbodyTCZVauaT5GkhDGBo45VyWwjLzAML0MX1QsVaCKVcgNXRSwWWTQiwMCzmKuVg86+k3JvF3kRj/ULmAqxiLYSmTLfxDxKmdD4UklqiEc8LaHDeBAHAYNwZWGUCrKYKhri7w8I9lT65FkJeV+ult8j3xWh2V5ds/GP6SMsPsEamAsu0D243rtWd/VRMKBRyVyLcWGaQu/m9HDADaytUYJkB7rtPG62maFhTWjO3v+J57rr6hh9g9SXTDbciWykmtKGFMFdVFSkzAytmKrACcHG9ULFVCKVcC+HmhqvAyl+FMPNvM8Klsc6X64EAC8MSTw5+pdpoc68KNdYbQ7eFsNgqhOHBT2IahXmhbItFFA6H3CuQvbyAArCIW1lcroUwWvkMrPwKrOyFASqw6sa0dpadgUWANWRvdeS3ENYqPHl+badeLxhublSyAqExcbRZibD0HCx3iPsIzMAy869mbtMuSZrSknm+XvXsa66lsfJVCE0VYSrtBKI7QBpaC2Eq4AmWOScpN3c4N8Q9eM9FZ292BlapCqwGnYE1qlgFFhe6BkWAhWHpH0KA1bqVhmBubWaFwWLluuYgkQjAQcJdgTD7ItpKBRYAC7kzsKKlTxCGMgOreAVWYx0Hg6SnXAshQ9yH7a3OXAXWlv6k1nWWH5heia7+pI5Z/JCOvWZZ0VDx1QoGuBsTzCD3si2EZh5N/s/G1liF0KxA6AZY2QqsV9/OVWC5Q9yHUYElBWclQpOFlhtcHskGWEGpOivFtAVWMsS9mjBv/ZY+rdrYM/gdR9jmkjOwMgH1Ow0WYBWbu2cKCBrtfLkeCLAwLEOagdWgffm5qx1FKrAipky38d/s5lYgzK6W5VZgNdb3CwCqYcKLshVYFbQQFmtVY4h7faXTjnvhregQ9yhD3IfLW4ElSS/XoI3wrY5e9SXS2tQd1zOrOwZ8/rUNmW1UVIE1ylRglWshHFgNIW2dCqznTAXWtmMlSVNbsxVYnpUIzRD3obQQxiIhN9zoD0iAZYKYcotFmU8F4HpyWZXMwIpWcHwqJ5lKa8E1yzT3h38v+/tSD7kWwoJVCN0ZWP56vIMpFmBtjcA8qAiwMCzeVQgH41ZgNdAB1XEctwS3WLluzJ2B1fhHzG53afGCCixOtABYpJILM5XMwOpliLvveCtS2poGhgLNtBAO29rsDKxp7S2SajPIfYOnWmr5KxsHfN6EPTuVWYHQmFDBDCzzfmdM4SqENT6h7OiJ681s4LfHNmMkSVOyAdYr2Qosx3FyQ9yHsAphKBRSS/bnOCgVWENqIQx4BVaizFgTw4Rbwz03Wf7qRr2xqVfd8ZSezwatflFyiHu2Imtzg1VgFWsh3BqBeVARYGFYhlKB1daAFVje9pBiBwuzVG0QWgh7CgYJmr+D8gYIACrhthCWrcAK5d23mHIthFwYqA/v8azYhTdmYA1PKu1o3ZZMy+CBu02SVJtB7t7qj2UFAVYq7WhltsWpkhZCMwOrbAthfOCS9lLtTyjN/KsdJrS5J+KTM7mf3ulJ6J3uuHoTKbeaaCgthFIuNO9LBOPn2DwPkTIVWKbqLOgthJVVYFU3A+uvz7zl/vvVEvPn6iGRSru/owNbCBt1FcLswhGe15zcyB3OvwZDgIVhGdYqhA30C+ldgrbcKoTlllJvFAMqsGKcaAGwj2khLFdZHK1kBlbRIe5UYNWTt60zXOQEkBbC4Vm/pU+ptKNoOKQ5u0yUlBnkXq2NnoHrj696R32eAHJNR6/iqbSaomFtO6510K+VayEsM8S9RAthrVchLJx/JUnNEWmbsZkU69UNXe78q0g4VLTdtRyzImNQLkCmzSqEZUKbsCUthEOZgeU9h6lUIpXWnc+udT9+zUcBlvmdkAa21eZmYDVmC+GoojOwgvH7uzURYGFYhjQDqwFbCPMqsIosWWvaSIZzkPAbdwZWQQUWL6AAbGLaAssd14YyA8u72p15k9qXSAdidmKjKdbW6WUuxjHEfWjeyrYPTm1v0e5TMy1xtW4hjCfTenJVh/uxqQzZcWJb2ZN5wwxxr2QG1oBVCM37oRoFz+4KhNu2592+06Q2SdIr67tzA9ybo2VnPxVjAq8bH17pDr1uZKaFsNzTEKrBKoSJVNr3qxiWWxndMOcrqWG0ED708oa8lfz8FGCZ9sFRTZEB+28qsBqthTD3mpM7JrWxWnHFCLAwLEOageW2EDbOL6T3BKN4BdbgV+EbhbsyU7byqo0SVgAWci/MlDlBaDLVtxXMwGrJayHM/ZsBrSOvp8hgfS9aCIfnrY7s/KuxLdpl8miFQplWuI1d1a1EWFgttfzVXBvha29XPsBdyrUQbqhoFcKRr8CScq2Qr2zoKhmmVeKI90yTJN38+God8r379bvH3nCrmBrRUFoI08NsIXynO679LrtbJ/+/R3wdYiWH0EKYGMbF9duy7YO7T83MlfNVgNVXfAVCSRrXmvn97uhNNEwbqeM4bkg1ujm3T1RgVY4AC8PSP4xVCBvpF9J7oCh2BSzXZ974b3YLZ2C18QIKwEL9Fc3AygYdlQxx94QlzdGIG4x1NdDFnKAwlcalKrDM94YWwqF5a3NmIPk2Y1vU2hTR9PGZSqJq52CZeVXvzgY9D3vmYJkT650mDT7AXapsFcLu+CAVWDX4ne1PptwVGgsrsEyA9erb3erKVmANZQVC4ytHvEu/Pv0D2mXyKG3sjuu/f/+MPnHNMj39Rkd1D75OckPcK2ghHGb49OyaTr3Tk9BDL2/UDctfH9bXGAkmXCvfQhjOu2+l4sm07sq2D5518K6SpFWbeoa9mmGtmWrC9mIBVrYCK5V2GqZFvz+Zds8zvRe3TAFBN+8RBkWAhWHJzcCqYIh7A1b0mKuw0SLVV5IUM0Pck42R9pdTOAOrjVUwAFioohbC6OCv/b0lqn1G0R5QN2aGUlupFsLY4MEkBjIthGaG025TMqFS1QFWNmz62KxtJElPvvGO+3tlWggrGeAu5VYh7E2kis5idZziA5Wl3PuiRMqpujrvpXVdSqYdjWuLuc+XYarJXnm7S1uy1SbDCbAk6UO7TdIdX/qwvjbv3RrdHNXTb3TomKsf0p3/fmvw/+wzlbQQmnBruMVTb3f1uf/+7l0vuKtE+o25YF6sK8RwK7BSzpCqkR586W1t6UtqyphmfWzWtmqNRZRKO3pjU091D7pGOnszx8zCFQilTKVzS/b1u6NB2gi97wFGeVbFNRWgPVRpD4oAC8MynBlYfQ00A8sk47Ei86+k3AFkOGW6fuPOwGrKr8DqTaQauvQcAIaikuNaRTOwSsxbGsUg97oZtIXQVGAFZPW2kbLWDbAyw9R3zQZYL6+rbg6WaUF83w7jtM3YFiVSjh5f+Y4kTwXW5MoCrNHNUff7u7HIIPdEWkWrIaT8wLPai3ru/Ktt2gdU9u+cnYG1amOP3smehA+nhdBoiob1uQ/vrHu//BEdPnOqHEe65v5Xhv316qWSqqNwlS2Eb2/J/Uz0xFP6xp/+7ctWNDMDK1LivETKby8cShWWWX1w3l7bKBIOuYGqX9oITQthsQosydNG2DABVu6CineBAiqwKkeAhWEZyiqEbY3YQpgqX4FlZmAlAzADy30hbc6vwHIcqS/ZON8zAKjGUGZglWsfL7YKoZQ7IaUCa+SV+p4YzTGGuA/HGk8LoZQLsGpVgTVpdLPm7JxZ3XD5qxvUl0i5FTKVzsAKhULuHKyNReZg9Xu+5d5qCCkTWJtAu9o5WKXmX0nStPYWtcTCSqYdPZcNukYXqTYZqintLbr82L0UDYf09OrNerHKYHGkmRypohbCKgOsg981WbFISPc8v153/HvtIP9r5KUqmoGVO3YlKwyw+hIp/W3FOknSUe/NVDyacNgvAVauhbB4qGvaCDt6G2MlwmIrEHo/bqTz5XohwMKwDKUCq6UBA6zEIKt9mAqsIKwmVViB5b1C3UjfMwCoRnwIqxDGy7UQFpmBJeUCrK4+AqyR1jtYC6H7fW38Y/pIciuwxmUqsHZzVyIcfoCVTKXdSoqJo5q0/y7ZAOuVjVq5sUeOk2mvM7OtKjGhzBws060zqqAawjDvjapdibDUCoRSpopo5+xMr6dXd0iqrgLLa9LoZh28xxRJ0i2Pr67J1yxm2SsbdOgPHtBnf/GIrrjzed3577f0ZkdvVdVMuRlYpe8TqbaFMBtgzdllos48KDP/6Zu3Puu7VRxNx0fZAMvzuUoDrL+/+La6+pPaZmyL3jd9vCTPTDafBFhmFcJiLYRSbrh7o1RglVqowa3A4iLXoAiwMCxDWYXQ/EI21CqE6fJX4s2gxHgAK7DC4VBu8D592AAs4c7AqmCIe9kWwnjxsIQWwvox35MWViGsmWQqrXWd+TOwTAXW21v6iy5r/+BLb2vBNcvKVnZs6smETKGQNK6tya3Aemb1Zv37zc2SMifYxRbYKcUEWBuLBFh9JsAqERjVYiVCx3H03JrSAZYk7ZytejEVWO3DnIFVzKdmby9J+sMTb261C6+/f/xNvby+S/94eYOuuf8Vff7XT+iD375X77/sHt3/wvphfU1TdVQsWDTMz8FwVxB8O9uuOnlMs75w0C7aefIovb2lX1fc+fywvt7W4lZglZuB5W0hrPD85K//yrQPzt9rG/d5dlsI3/ZJgDVIC+H4NtNC2BgVWN0lAywqsCpFgIVhGc4MrJ5Eypd95cUkBmkhjAVpFcKCCizJs/JOghMtAHZwVyGsZIh7BTOwCsMSWgjrp6dEqGiYi3G0EFbu7a5+pZ3MSfOk0c2SMj/jJsx6+e38djXHcfS/tz2nx1e+oz8++WbJr2uqpCa0NSkSDmn6hDZtP75VybSj3/3zDUnSzpMrW4HQyK1EOHAGlrlOV6riyX0/VMXv7ep3erWlP6mmSFi7lHjsZp9MB0CtKrAk6eA9pmjiqCZt6OrXAy++XbOv67Um29p57D7b6fj9pus927YrGg5pQ1f/sCu/0hW0EHrnYw3nHMNUYE0e3aKWWESXf2IvSdKSR1bpsdc3DfnrDdUPlr6oi/7wzKCPvZIZWN7nopIZvX2JlO7Otg/Ozy6YIMl/M7CyQ9zHlpqB1daYFViFM/dGeRbRapTz5XohwMKwDGUGlqnmcZzGWaLabSEscdUnFqQZWAWrEEq50LGbCiwAlhjKDKyKhriXCrCKXF29/V9v6XM3/LNo1Qqq11fie2JQgTV0azoy1VdT21vyTpzdOVjr8tsI//1mp17IzmBat7lPpZg5VRM8LYKmCuuR1zKBQqXzr4yJ2YCt2AysvlTmsW/NCqxns9VXu08b7b5/LLRLwVD60TWswIpFwjrmfdtJ2npthGYe2mf2na5vHTtLfz3nQF113N6S5FbqDZVTQQuh93PDKcJyA6wxmZ+R/XeeqOPeP12SdNEf/rVVR4U8v7ZTP7rnJf3m0Tf0yiDVTu4qhINUo5nzlkoq0u5/Yb264yltN65Ve08f595ufr/Wdvb54oKLOwOrxO/EWHcGVmMcP0tWYGU/TjfQ+XK9EGBhWIZUgRXL3afYEsZ+ZIKpUm80ohWcxDQKc1XRe2XaDDJtlO8XAFQrMZQZWGUuXpQaGG5OkLcUmYG1+L6XtXTFOt3z/LqhPWhUxF2FsKn4CZD5nnPSULncCoQtebfvNqX4HKxbHn8j93/LBBobsi1dZvC6lJlP5DXUAKtcC2HFFVhVjMHwrkBYSmFlVi0rsCTpk9k2wrufW1d0Flg10mlHb2UDzW2z89Ck3OqUJuwcqpQbYA3eQigNvY0wnky7qz6aAEuSLpr7bo1ujurl9V16cd3w57kN5oblK91/e1dDLCZZwYqM0tDOT/6SXX3wY7O2yXsex7U1ub8zr2+sfxVW0FYhLDXE3XuBxQ/BoZ8RYGFYhjIDKxoJu1e0exKNEYi4wxJLthBmK7CGOzXSR8z3xFvK2spSrgAsU8mFGXcGVpmgo9TA8NHNxQe0ptOOXs1efX/znd4hPmpUolRVnGGqyanAqtxb2YqbaYUB1tSBKxH2J1P689Nr3I/LVeSYcMVUTUnVB1gTywxxr3gGVhUV6S+uzVSevWta6QCrcJ/G1GAVQq93b9OuPbdrVyLl6NanSrdwDseG7n7FU2mFQ/k/DybcXNfZp/Qw3i8PtYVwqCsRbsy2lEbDIY3zhCNj22Lu98Osellrm3sT+uMTue+DCW5LSaUGn4El5Wb0Dhbm9cSTuve5zGwyb/ug4ac2QjPEvVQL4Xi3hbAxZmCVCrAi3hnEFBCURYCFYTFzIioJsKRcINIog9wHrcDylOgO56DsJ2ZQu7eFkAosALaJ13iIe+EMrFElZmC91dnnBixb62TJdqUG6xtUYA3dW5sHVtxI0m7ZFsJXPAHWPc+tV0dPwv3dKleBZdr8vKsMbjO2VTtObHM/3joVWMV/NrxzaYbLVLHsPLn04x7lmR8mZVZarLVP7pOpwrq5xm2E3nZS7/vmyWOaFQ5lLvZuKDJ/bDBuC2GZUw1vQdJQxwaZqqdJo5sHDIrffnzm53r1Oz1D+6IVuuXx1e7rvjR4gGUumEfLPRnyVmCVfzKeWb1ZvYmUth3bor22Gzvg834a5L45OwOr1CqE4xq0hXBMkdDcFBNQQFAeARaGpT8xtACrramxEmVzchIrcaDwDvmtZFCiX8WTafekbVSxGVi8gAKwRCKZecNfrgKrKVq+PSOddtwQpLDap9QqhK++nTvRJ8DaOgavwGKI+1C5FVjt+RVYZgbWmx297s/6zdnh65/aNxOgdPQk3LlkhUxVzMRRzXm3myqsqe3NJaulSsnNwBoYEgw6A6u5ugqsdNpxA6wdJ5YP3rwBV61bCCXp43tvp1gkpGfXdOq5t7YM/h8qZAa4F4aZsUjYbc1bW2buWSnuKoRlKrC8n0sNMcEqnH/ltV12X7ZGVWw67ehXy1+XlAtfBg+wMq9Ng7YQhitbZGrVpkwwt8uU0UVX9PRVBZbbQlhiBlZrY61C2NVvOl8G7k8tKj5tQICFYYlXMCvEK1eB1Ri/kIOuQugJthp5kLv3+9GaNwPLrLrTGN8vAKhW/xAqsErNwPJeUW8rmLdkKioGBli5EwRaCLcOUz1TOJfMYIj70OUqsPIDrHFtTe6qhK+s79L6zj535bv/+NBOasnORS3VRuhWYHlmYEnSQe+aIklFq0UGU0kLYamh6dVWYK3b0qe+RFqRcMit6ill50m5OVi1HOJujB/VpEPfPVWS9Men1gxy78qVCrAkaVp2DtZbwwiw0hXMwPJ+bqgthGUDrOz3amtcVPjHKxv1+sYejWmJ6rj37yBJ2rClfPiSq8CqrIVwsHOTN7IB1g4T2op+fudsgPVqnQOsvkTKfV0ebBXCzQ1WgVU8wKq+4tMGBFgYllwF1uCrEEqeX8gGmYGVdHvNyw9x9963EZkKq6ZIOC+MNINuG6ViDgCqZd4kxyqZgVWiUscbYBVWKI9qKt5CWFiBxfLZtdebfc9SsoUwQgvhUJmh3Sag8DJthC+t79IfnnxTaUeaPWO8dpk82q3YKlWRY9r8vC2E+v/tnXd8W+X1/z/3anjvvZ09yJ5kAwmEEFpWITTQlN1AaX+lLRS+FCi0tFBKS1vSsAohBAhQKGUkBAgJIXtPx4kTO7ETbzveS+P5/XH1XEm2pi3pSrrn/XrlBfaV9dHRI91x7jmfA+CK0Rn494+n4Onrxnr9WpMtybCOHlOfyi+5hdCJwb91CmH/Lih5BUteUpRTWwqObQWWP1oIAWsV3P8OVcJXBYfnLvAEVmSfbdkJrtfbFZ54YNlNIfTS0kNOYMX2TWDlJkmJnXN+uKnw1s5yAMCNk/PkBJLnHliuP0MauQLLswRWnpME1iDLZ7G0rk3RYxL3vxIF+04RW5KirSbuoXD8tE4h7Hs8ihlgxadaoAQW0S+8rsDShVYFlrtxtbZ3QEK55YBn+KN77UR94flAEAQRKhysaMJpSyLJ2V1ewIMElux/JfbxVHHaQmhzh7vbaEZ9W2i0QYQS3H/TaQuhztpCGALXP4pjNJlR22qpwErom7SQjdxrWvEfi98Sn4KXwRNYTiqwHJm4A9K0ufmjMuS/94a4CC10lhuPvX2wut2YuMtTCPt5QXmmXkoUFHrg22U7iTAuwrcm7py5w9KQFheBxnYDippcV/N4Cq/AynFYgSWtV2Wz94kgszx5z/lj7E3cvXv+ujYPWgh9XIFV3wV8W1IPAPjRjAKkWpKrnntguV4z/jk3uWkhrLAk5vKSHCeweLtrS5dRntTobz45VImj55vtfsfbB+MidX2OqRxegWU0sz7H12DEmYk7QBVYnkIJLKJfdBs8n0IIhF5Fj8GNibsgCB73mQczPMPf+65GqHmWEQRB9JfzTZ2468296DGacdnIdIxz0aKkdzOF0JXXUqyTO6u2Ztf89RC+hR/LnLUQRmik3zMGhHBRdcCobe2GmUkX070TTYC1AuvTQ5U4VduGSJ0oTzrLtJlM5wh+IZ/cqwJrIAiCIHtq9fbBklsI3U0h7OcFpaf+VwAwPCMOgHQTkbda+hqtRsR1E3MAAAcbfJTAanaewMoaUAWW9GV05NHEEfzcQtjY3uPTZMLWahGMAfOGp2FQagxSLdrublx47IEl32TxtALLcVtrpE4jr2dZfZvDx/iSo+eb8fN3D+DWf++ye79lA3cn/leA9Fr59WhTgJJtA6FNrsBylcCi6y9XUAKL6BfeVmBFyxVYoZFRdueBBViTW+HQQti7rUI2LQ2R9SIIgugPbd1G3LlqD+rbujEyMw7/+OFEp3d5AUBnMXF36oElT7vre2LKPW1sWwg7eoyotFzY8fYh8sHyPbxtzJ0HFgAYQ/eQHjC4n1FGfKTDC+ohlgQW/2xfeVGmPEHM2kLYt+Kk22hGa5f0/UiN9V0CC3A+ibDbjYm7XIHVzwtK3kLoyeTEzIRIvLBkAv65dKLLpM1AmTU0FQBwts1XFViOJ1ICA/XAkv7rqoVQ2m55fH9bCB0ksBKidHIbp6/2yZ09JuyslV7sj2cWSNqWBHBdW7fL9jduaK9zcV0C2E9Jd0aXwYRaS+zOKrAA62e21MEkwo4eIz49VIluo28SLccqpcqrpg4D3t9TIf+eV2C5qowGQssHq91FAitGLvig6y9XUAKL6Bf99cDqDDEPLFd+BdZRtaFbgcVL4qMjHFdghUrLJ0EQhLeYzAy/WHsAxdWtSI2NwGs/nuJ28hc3yHXngeWoeoJfCLf1GOULFX5xmxStw5hsqfKrkiqwfApj1raSaJ3j9bVLYIXuIT1g8AmEWQ7aBwFgWHqc3c83TsmT/5+3ADqqwLpgmSKmFQU54eUreKXLOUvlCcediXu0E+86TznLK7A8SGABwLUTc3DZyIx+aXnK+FxpX1PXJQy4YqWzxyS3fTpKYPmiAsuN7ZOcRPVlCyFgrSg756N98qeHq9BpEpCXFIV5w6WhBHzgQY/R7LL9jVdUaZxMR+d4cm1y7oL0HYiL0MqJH0e4mkT4yEdH8LN3D+CtHWddvh5PKamxVnm9+l0ZjJbXzz2w3O0PuA/WhRCYROhyCqHlPIE8sFxDCSyiX3T3cwphqJREGiyluq56zeUKLG+PmEEEN9WP7tXuYi2ZD431IgiC8JZn1h/H18drodeKeHXZZNm01xV6D03cHVX68OQYY9ZjIb+zPTgtVr74oxZC39LY3oMugxmCAKTHO75Q1Yi2tgCBfHWhCU9GZDlIWABS9RS/MM5JjMKMwSnyNt5C6MgDi08gTIrRu6yE7A/TByUDAL46Xmv3e9nE3YGhMmBbEeH9+ZDZzHC2QUoWDPKghTBQJEbrUWAx7z5S2ezm0a7h7YOxEVrEO0gC2pr2u6owKm/o6ON/5EkLoe12U39bCB20wQJWI3dfVGAxxvDWLqmy6JbpeXLSLUqvkX1nXbURmjz0wNJ4MIWwolGKJzc52uV76yyBVdHYgU8PSVMsD58b2OeHU2LTSn++qROfH6kC4HkCi1dohUILIVVgDRxKYBFewxiTpzV57IEVaibuHkz74AeRUB673SEbCfZOYIVWyydBEIQ3vLu7HK9+VwYAeP7G8ZiYn+TR3/EWQncm7o4qfaJ0GrnVhZ/Aygms1BjZc8UfU6/UTLml4iYzPhKRTkzcAev5DLUQuoe3jDmrwBIEAcMtVVg3TMqxS0ZluJhC2NjheAKhL1g0JhMAsP1UPZptLnK7LF9lZy2EckVEP86Hqlq60G00Q6cRHE7oU5JxufEAgMPnWlw+rra1y2EFDodXjGYnRjpMhmTER0IQJOuR3u2bHMYYfvjqTlz3r212ZubcYtZdC6HGst2bFsL2bqOclHRWgZXrw33yscoWFFe3Qicy3GDxIONYfbCcG7nLJu5uWgh1HkwhrLBUYOUlOU5Ac/gkwt7r/++tZXK12+k63/hjnbIksOYMk9pbX/62FIwxtFhaij1tIWwK8hZCk5nJN7ocm7hTAYEnUAKL8BrbqXsee2CFWAUWL13Ve+KBFcIVWO1O/Fr4elEJK0EQ4UZzhwFPfHIMAPDAguH43vhsj/9WZ2OQ66iaQJ5C6KACSxAE+e4qbxUptZjjDk6LRS5VYPmFcjfj4jn8fCaE70kFjOoW1y2EAPDrhSNwy/R83DlnsN3veQVWbWtXn4RDYxufQOj7BNbgtFiMzIyD0czw1fEa+fe8a6v3MBuOXBHRj/OhM5YL/7ykaJc3RJVgnKWN0FUFDWMMN7+yE1f9/TvUOjHd59VJjtoHAel7xdvknLURNrT34HxTJwwmZue3JLcQeuiB5U0BFq92itZrnCYvfTmJcH/5BQDA0HjWp22Pvz/1rS4SWCb3nSGAtZ3S1YCp8gbP9omDbSqw+He1sb0Ha/eUy48prWv32nusN23dRvk9fuqaMYjSaVBU1YJtpxpkTytXJu6ATQuhkyRpsGDbJtq7eMD2dx0hME1RSYJrb0qEBN02Z3fhOoWwx4MKLG6kaAxpDyxnFVjSeoWKZxlBEISnFFe3oMdoRk5iFH4+f6hXf2vri+jo5oV1CqHjYwf32eEnsfzu9eA0awXW+QsdDv+W6B982la+hwksQ+ge0gOGuwosAJg2KBlPXze2T+VEelwEBEFKAjf28qvhFTp8YqCvudJShbXe0p5kNJlhYNK5XJxTD6z+V2DxyhVP/a8CyXjLtNXD55udtvadqGlFaV07Og0mHKxocvgYawWW82oe/jlxZuRum7Sy9QDkCSx33aRiP1oI3flfAdYKLF/sk/n7VxDbdxsfWOBJBZY7Dyx+jHJl4s4rsNztE3MSo6DTCOg2mlFlSWC+teMsugxmjM6Kh04joNNgkttI+wufxJsaG4FBqTFYMlXyzHt5y2mPWwjT411/xoIFXn2t14gOfaSpAsszKIFFeI1ty5zewztK/ASgK0QSIkYPphB6Oqo2mHFfgUV3AAiCCC+418bwjFivJ33ZHvMctRHyCqwoJ61q/E5/W7dk5F5muXAbkhYr3+1v6TKitSu42yBCiXIPE1j8YoJaCN0je2AluG5BcoROI8oJqt4VOY3t0ufeHxVYAHDV2CwAwHcl9WjtMthdJDqfQij9vstgdpkUcASvwCoMIv8rzqisOIgCQ31bjzwtsjdbS+rl/z9R3erwMectycwcFwksqw+W40SHbRuabTKEv93u9tOibOLuRQLLjf8VAJ+2dR+yJLDyY/u+xlR5EuHAPbCsJu7uPbDykl1/f7UaUd5vltW1o7PHhDd3nAEA3HvJEBRYPtenHUwp9AbePjjMMr30ztmDoBEFfFdSj91ljQCABBdm84Btu2dw3wBqd1I4wLFOPaXrL1dQAovwGl6BpdeKHp/8W03cQ+MLye906Fzc6eAHkZCeQmhZjxi9Mw+s0Eg4EgRBeIp8spwR5+aRfbEdYW5wkOmwmri7vhhu7zahpqUb7T0maEQB+cnRiLGZCEVthL7D0wSWtYXQt+bh4YbRZEZtq/sKLFdkJkgX7L0nEVorsPyTwBqWHoshaTHoMZnxTXGttRpCKzqdOh1tc37k7TnsGcsEwkGp7gdEBJpInQbZlpd1yEl11bZTNgmsGscJLF4x5SqB5b4Cy5rAqmqyPsYsVx152kLoeQKLtxC6qsDiMdW2dqPb6Ph8WPJpcn3DoaXLICd5ChwksFJi3XtgGTy4sQ5Yr01MTloIGWNyVWqeB4NLBqVKSaWy+jb8Z18FGtt7kJcchUVjMjE0Tdp2qnZgPlj8ptJQSwIrLzkaiy3J5lJLEthdBVaotOC3yQksd1NP6frLFZTAIrxGNnD3op+f340OlRZCTw4U1pPd0E1g8R1kdK8dqXyRZTPunSAIIhwoqZUuxPjJsjdoRAH8vk2Powosg+sKrNgIa3Urv2jLT46Wjyf8gqkyyE/CQwlrtYGbBJaGPLA8oba1G2YmXSinuqhecYVckdMngSVdwKf083ndIQiCXIW17kiV9WLSgWcdJ0IrygkUb89hg7mFELAmUxwlsHqMZuyyVL8AziuweMWUqxbCTEulnjMPLNsWwqpm71sINXLSxvXjbPGkhTA5Ri/vy20Ta7a8vasc4373JdZZ2lIdccTiM5abFIVYB3mYNN5C6MIDy+RhMk8ruu4Oae40otXyufdk8u5gi5H7qdo2efDJ3XMGQ6sRMSSdV2ANLIF1ynJMHpZhPSbfM9feO8+dB5btxMhgvm7h112OJhACtp7RoVHwoRSUwCK8ht+FiHDi8eEIuaInZFoILRVYHkwhDOUWQmcVWLxizszsPc8IgiBCnVO97vZ6gyAINkbuLloI9U48sGxaCE/XWycQcvhFoC/GthPSRTi/IHbbQqijKYSewN/PjPhIu+mC3sAnEdY4ayH0UwUWYPXB2nyiTm7ZcnYxCUjf+f7YKpjMTE6eBmMLIWBtZzvgIIF1oPwCOnpMcgKntL69TxWS2czkxI6rKYt8mzOvpFKbKXfnbSuwPGwh5Nu9aSGUK7BcJEsFQXDbRsgTVx/tP+f0ebj/Ffcd602qBxVY8hRCNx5YGjf+vDyOtLgI+VzfFYMsx6cP959HeWMHkqJ1uHGy5FHFj6G+rsACgDE5CfJEQsD9FMLMBGnaZbfRLK9tMOK+Aiu0Cj6UghJYhNfwCixP/a8A2xbC0PhC8gsTnQceWMYQTmA59cDS2ZbMh8aaEQRBuKO504CaFukioT8JLMB67HOVwOq9T+XYemBx41p+hxuwVmCdowosn1DZ1AkzkyriUt34KsnrSvdsXMLbwFwlLNzhvALLf1MIOaOz4lGQEo1uoxnrjlQDcH4xyYnpxyCiyqZO9JjM0GtEl9VJSsIrsI6ca+6T8ODtgwtGZyAuUguTmeF0rb3XUX17N3pMZoiCNSnpCKsHVt8qph6jWW7zBewrsDytOuKbvfEokz2wXFRgAbaTCPt6K5nNTJ7iuKu00WnSiFe4jcuNd7g9NY4nsJwnXjzx5gUAnTyF0PF7wQ3c85I8+0zyBBZPvCybUShf0w2xtBCWuqjAqm3twoxnN2NNieNrxi6DSV7/Yen2bf0/mTtE/n93LYR6rYiMOOlzFsxthPx9dJY05/siuvZyDSWwCK/hFTkRTlokHCFPtQuRL6TBgzsdOk3oe2B1WiqwonvdhdFqRLmlhcpYCYIIF/id4sz4SLcnxM5wte/nVcaRTlsIub+FUa464BcBgO3Uq+A9AQ8l+IVRXnKU2yoOfk5DFViu4RU3mf0wcOdkJPAEln3FyQU/TyEEpKqaRWOkNsLPj0oJrFgnhsqc6AjvK7C4/1V+SrTbBIxSZERJFfidBhNO9UpCbLUksOYMTcXITCmxcKKmxe4xfBplRnyky44FbvZf1dzVp72rvLEdJjOTE8hNHQb5WoF52kJo+W570znmiQcW4HqfXFrfJickWruNOFrZ0ucxAHDoXBMAYFxu/yuwPDVx51MKnSWw+M0Rdy3VHNsK4UidiGUzCuSf+bGrvq0HTR2Ok2/fHK9FfVsP9tYLuODgMaV17WAMSIzW9bnJMGtoChaPy8LkgiSP2nBDwci93U0Ci4ZoeQYlsAiv6U8FVui1EHpQgSU6vwsfKjjzwAKsbYV0F4AgiHDBkdeGt/ALtR5XJu4eTCHkd60H2ySwckLEiDZU8NTAHVC3B9YXx2rw+D6N3OrkCrkCq58G7oC1Ise2hbDHZK0KT/ZjBRYALLK0EfJzoBgnFZOc/lRgWScQBp+BO0cUgDE5UlWQrQ9WS5cBhyyVRbOGpWIET2BV2ye5eFLHlYE7AKTHSwmabqMZTR32hufc3HxEZpx83slbDU1yAsv3LYSeeGABricRHqxotvt5++n6Po+pbu5CTUs3NKKA0VmOB4fwxE1Hj8npTWOjh9Vo/LrFWTUaj8MTA3dAen/4utw0Jc/Ony4mQisb9Dvzwdp39gIAgEHAlpKGPtu5J+Ww9L5TgQVBwIqlk/DhvTNdJkg5OSFwA6jN3RRCy76m22h2WtFHUAKL6Af98cCymriHRkaZ+1ppXewwdRrXdzlCAWceWIC1ao4SWARBhAslNf33v+J44oHVu6qVw++6NrT1yEkquxbCEDgBDyXkaVseJLAitOpNYL27pwLNPQI+PVzt9rG8xStzIAmshL4thG2W00O9RkScm5a+gTIuN8Eu6eLsYpIjV0V4cQ5bVi999oLV/4ozzuLLZJuM2VXaCJOZYVBqDHISozAiU0pynajuXYHl3sAdkCpSua9Z70mEp+usrdTZvYZY8NNrdwks3ixh8jCBZWbSPhjwpAJL2nc4auvmST/uz7TjdN8EDU8KD8+Ic9paHhuhlfc/9a2OK5k88eYFrAkuZzfXrUMtPKug5IMP0uMi+hirA9Zjae/2Ug5PYAHAphN1fbYPxJOyN6FwA6jdnQeWzb6oI0SKPpSAEliE1wzEA6vLYJbH4gYzfLKgqwOFzo1RYijgzANL+p0l6UhlrARBhAm8Taa314Y38PbqgbQQHq1sBmNAfKTWzrDak7HthOd4U4ElJ7CC/xTFp5jNDEfOS4mJ3m1kjuAJiKyBtBBaKrCaOw3osnxn2iyFOSmxerftngNFaiPMlH92ZeIO2PjSeDHanrcQBusEQg5va7OtwOL+V7OHSibacgthr0mE5z1MYAG2SUv75AKfQDgkLRZZlufhbapyC6Gbyw1rC6FnX94Oo/Xms7t21RwXgzV4a+CPLW11e8409tlv88dMyHPcPghIn0feRljnpI2QX5e4q8Diz3Om3nFCSa7A8rCFEACeu3E8dj4y3+HUQt5G6Gjf0dDWbWfQ/11JfZ/jpvWmUv+PyRw52RjEN4DctRDqNaLcJurN/kZtUAKL8BqrB5b3LYRAaLQRemPiHtJTCF2UstIkDIIgwg1+sjywFkLpuNDjcgqh6xZCftE2OM2+bSI5Ro9Iy7HV2ch5wnO8aiHkicnQvSfVL0rr29HaJZ0LOKuisIVXYGUNoAIrPlIrV+bzz3mrQfoeJPtxAqEti8ZaE1juTNz7U4HFEwiDgjyBNd6SwDpR0yrvv74rkSplZlkSWMMtyYXK5i40d1pbAHmlVI4Hhv484VnZZL9fK7WtwEqwn1Yom7i7q8ASeNuc25cBAGixhJAUrZO/987gvkrVLV12N6y7DCYcr5ISvz+YnIfUWD26DGYcLG+y+3ueGByfm+hSx2rk7jiB5akH1rRByQCAXWWNfRJ6ZmbjgeVhCyHH2cTRIXIFVt8EFq++GpwajRgtQ0uXEXvPXLB7jG0L4UAJhQrmVjcVWHZTT0Oka0kJKIFFeE13PyqwIrWhlsDywMTdTZlusGM2M7k81XEFlsVsmHagBEE44FRtK256eQe2lvT1/QhG2ruNcsXA0DRftBD2vXnR5cYDq7dZ9JBer0MQBLmaIZhPwkMBxhjKG7xPYBnNwWm47S9sK29qWrvR0mVw+liDyYxay/S2rAFMIRQEoU8bYbtcgeU/A3dbJuYlIcOSNHBko2CLtx5YRpN1sl6wV2BlxkcgLS4CJjPDscpmVDV34nRdO0QBmDE4BQCQEK2TE5Yna6xVWDzR5EkFFv9728Q8Y0z2wBqcGis/D6/A4g0b7iryRC/Px1t7pMe7ax8EgLTYCOg1IkxmZtfyeryqBQYTQ0qMHnnJUZgxREr2bbdpI7SdUjg+L9GNjpS4dZbA8sTaBAAm5SdBKwqoau7qU4nU0iM9j0YUBpSAtmWIpQXeUQUWT2BNLUzC6CTp9X9TXCNv7zGacdayjx7ITSWObQuhp9V4gcZdBRbQv4pPtUEJLMJr5AosresDvi2iKMgn9KEwidCTcbWh7oHVZTTJE1tcVWCFwnoRBBF4Ptx/HrvLGrF6xxmlX4pHcK+V1Fg9kgZQ5SEnsByYJXW48cDqfdfV1v+Kw0/CHXmuEJ7T3GmQ73Y7an3pjVpbCHsbt59yUEnBqWjsAGPSNLLUAU4KzLAYe9e08Aos6fepAarAEkUBS6bkAgAuyo53+VhvpxCeb+qE0cwQoRWRFe+bRIG/EARBrg46WNGEbaekBMzY3EQkRFsntY5w0EbIq6m8aSG09cBq7DDIFV2DUmPkpApPjJk9nELIq6Se/aLYo3NWXoHlSQJLFAVkW5K1tgkhubIqLxGCIGDmECnZZ+uDxacURuk0biuM5EmETjywPK3AitJr5LbQnaX2nlwNltxYdmKk20SYp3DvqorGDvkGDmevJYE1KT8RF1kSWBuLa+XtZxvaYTQzxEZo5cEOA4F/Dtq6jXaVgsEEHxzhKoEVRRVYbqEEFuE1sgeWm7Lb3kSFUEsaT0q5biEM7QosvhMVBPsKOQ6fTNgeAutFEETg4S0DzqYPBRu+MHAHrNXHA/HA4gxxkMByNbad8BxeAZMeF+G0pdMWvUpN3HkCSxSk855TNc6/z0WWlqmRmfFOW4o8hV+w8oqctgC3EALATy8ZjMcnGjF/ZJrLx3lbgVVmaR8sSIke8PsUCLg/06FzzTb+Vyl2j+mdwOrsMaGxXUq2eFWBZeOBxd+nnMQoROk1fU3cPZy899T3xyApWofD55rxqw8OuvXa5cnSNA+r/Ry1pvEpjTz5xxNYByouyAOSuDH+2JwEtwkjOYHl1APLs/cCAKZbKud2lTXa/b6hW/pbTypSPSUtNgJxkVqYmdX3DZCqkY9Y3qPJ+UkYmcCgFQWU1rXL615iY+DuC9+7SJ1GnugYrD5YbW5aCAHr/oYKCJxDCSzCa+QphN4msEJoEqHBg2kfcgVWiHpg8XWI1mkcnmBFyxVzwb9eBEEEHt4ycLahIyQS+b4wcAcAndaFB5bBtQdW7wTWYAetjKEwSSkU8Mb/CrBWlaspgWXr4zM6UTqX4Z40jjhWaXmsm4olT8jo1ULIpxAGqoUQkKprUiLdt6h5W4HF/a+CfQIhh7e3Hay4gK1yAss+qdfbyJ3vn+IitPIUPlc4qsDiiQxeiZpl8xjGmMdTCPNTovHKsinQa0SsO1KN57864fLxLV60EAJAbqK0D7HdJ1srsKTkX35yNHISo2AwMeyx+Dz1fowrUt20EFqHS3mQwJJ9sHpVYFneem/9r1whCILDSYRHzzejx2RGaqwe+clRiNIC0wqTAADfWKqwfHVTyZacpL5rFUy0u/Ae5pAHlnsogUV4TX8rsEKpJY1fjLnywNKGuAcWr8CKcjLWVz5hC4H1IggisBhMZtlfyGhmso9FMOMLA3fAuQeWyczk42O0kwos27uuoiBVaPQmFIxoQwHruHjPLtZkE/fQvCfVL45VtsBolnx8RskJLBcVWDyBlTXwBBavwOrdQpgSwAosT/G2AuuMZX8Y7AbunHE5iQCk70xdazcidSImFSTaPWZ4hpTAKq5uAWNMrpLypPoKsJq4V1uSUwBQWi+9T9wLkD9XR48JLZ1GuYXQk+KcqYXJ+NP1YwEAKzadxof7zjl9rDcthIB1n3zugvR6mzsM8nQ9XoElCAJmWKqwtp+WkoB8AqE7/yvAtYl7l8GENsugBUeetb2ZUpgMUZDWs9ImkdNoqcDyZgKhJ8iTCG32Hbx9cHJBkpwgvmSElBTdeFzywfKlgTsnl7fgB+nxs408sHwCJbAIr+mPBxZgk8AKARN3owdTCHVa50a+oUCnwfVdgFBKOBIEEVi4dwXHlW9OsHDKcrI80Lu9OicthLbHNndTCAHpIsLRcTTHwd1+wnt4BZbHCSyN+loIeYXIuNx4ZEVbElgetBD6ogLLWQthSmzwJbC8rYiwthCGRgIrIVqHwTbJtmmDUvrsm4amx0IjCmjpMqK6pcsmgeWZdxGvruroMaHFkozh01h5K3WkTiO3kJ5v6pQTWJ60zQHADZNz8dNLhwAAHv7oMHb3aqHjtHqbwOpVFXv4fBMA6QaErZ+irQ+WbXWjuwmEgG0LYV8PLNtEsyfm67ERWozJkaq+bN+Dhi7pfeRt6r5CrsCysRPg0wanFCTLv7vMksDaXdaIli6DfN7gCwN3TrDfAPIkgUUVWO6hBBbhNWrwwPJk2gefQsjLekMNXoHl7G6OPIXQw5J5giDUwymbVgEg+H2wugwmOaEx8ASW4+pb22S/sxZ725PWwU6qM/gFYVVzp1svF8I5Fd62EOrUl8Di/lfjcxORabmmPd/U6dDqoba1C3Wt3RAEazvZQOAthDUtUsVJW4CnEHqDtxURZy1eQIWpvq108Se2VUK9/a8A6aY1rygrrm71ugIrUqdBksUUnictrS2E1n2ytY2w0+MWQlt+dfkILBqTCYOJ4Sdv7ZX3A7bILYSxniXfevsSHrL53tjCK7COnm/GztIGeUqhJwkjq4l73wqsA+VSMmhifpLHXlGO2gi5ibsvPbCAvhVYjDHst7zmSQVJ8uMKUqIxJC0GRjPDpuJauYptoG39tshr1RR8VeF1rd1yAisx2nmi3tuKTzVCCSzCawbqgRUKFT2e9JprXYxSDwX4Caqz8dH8DkBHCFTMEQQRWHonrE4HeQVWaV07zAxIiNJ5bNzrDF6B1dMr08EnMEXpNE4vMjQ2E3kd+V8BUmWKRhRgMDHUOfFDIdzjrQeWXIEVgEN6bWsXVm4+rbgnKG9xGpcbjxgdkBwjJRhO90pQA8DxKqmCcVBqjEdtTO6wbSE0m5k1gRWELYTeVEQYTGZUWBIdodJCCADjc60+Tb39rzjcyP1kdSvOezGBkJPJ2whbumAyQ36fbKex8lbDyuYur1oIOaIo4K83TcDYnARc6DDg5S2n+zzG6wqsJG4uL31WuTl779bArIQoDE6NgZkBr35XKj/Gk6QTPy61dhv7TPM7UN4EAJiYnwhPmT7IYuReKlVgdRvNaLYUd/m6hZDfFCqtb4PZzFBW347G9h7otSLG5NhXa84flQEAWLX9DHqMZkTqRLnCzRfkBHEL4RfHqsGY9F1zNazCW889NUIJLMJr+u+BxTPKwf+FNHpg4h4uUwijnZSxyncAaAdKEEQveMJqrKVNIdgrsKwG7gOfdiQP8OhVHcXvlka7mXjHqzkGO5hACEg3R/jFPR9TT3iH0WSW2308TmAFcArhHz47jme/KMbrW8u8/luzmeG9PeUoHeB3rrG9R/auG2f5Hg+1JFUdGbn70v8KkJIHgiB9jyqaOmFgwdtCKFdgeXAD9tyFTpjMDJE6ERlxnlX4BANTCqWKnYz4CKcVdiMzrEbuvALLm+SDdRJhN+q7pbWP1mvk/Z30fHzf1wlL/goaL/fZUXoNfnn5cADA10W1sucWIF3DtBu9M3HnNxV6TGbUtXXLlYsTHJiz8yqsbacaLI9J9EgjPkorJ9F7+2DxCqxJ+Ul9/s4ZUwclQxCA0vp21LZ2oaq5EwwConSiz5PEeUlR0GtEdBnMqGzulP2vxucm9GlFvWxkOgBrUm5oeqxPJ3XKLYRB2IL/2aFKAMDV47JdPo4qsNxDCSzCa6weWP1sIQyBip4e2cTdhQeWyKcQhmYCy10FVii1fBIE4Z5NxbWyJ8dA4QmhhRdJd1NP17XbXSQEG6dqLGaxPvDakD2wjI49sCKdGLhz+LQpV21YNIlwYFQ1d8FkZtBrRaR7eJEqTyFkvruYcoTRZMbmE9IULn4R5w0f7j+H33x4BA9/eGRAr4NXXw1OjZGnyA1Nl5Kqjozcfel/BUjfI942xZNjkTrRJ9VdvkauwPLghp7tBEJfXpj7mzE5CXjp1kn494+nOn3dvAKruLoVlc2WBJYXfkp8EmF1cxdqOyWNwWkxdjcVshxU0HjTQsiZMSQF0XoNqlu6cPS89bjX0C6VIWlFAYkeTE8E7G8q7DnTiPq2bmhEARdl901gzRySavezJwbugGQCnyJPIrT6YFU3d6GyuQuiAIzL7avnjIQoHUZlSt/V3WWN8lCL3KSoAd/E6Y1WI8rtsqdq27DvDDdwT+7z2CkFSYiPtH7HhzqpRO4v/NjZ1GGQ2/WCgdqWLuw+I1XDLRqb6fKxVIHlHkpgEV7T088EViiZgntSgSX7oISoR0l7j2sPLG7uTgksggh9TlS34vZVe3Dnqj0DTjQxxuQKrMtGZkAjCmjrNspeNsEIvyAf6gOvDb0bDyxnBu6cP10/Fr+/5iKXd9Otd5GpAqs/yAbuSVEeJxH4OY3Bz/ekDlQ0ySbWh883e/19/PjgeQDAwXNNfdpYveGgJXlmWyEiV2A5MHIvqpTapnxVgQVY2wiPV0sJ5mBsHwS8q4gos0lghRpXjsmSzb8dwRNYp2rbUNWPFsIsy3pXtXSh1pKfGpxqn8DgVVrnL1g9jPqTwIrUaTB3mNQK+ZVl6h1grW5KidV7lWDk++TPD1cBkG5AOLpZcfFg+6TNeC+STjyh22BTgcWrr0ZkxtsNAfGEadwHq7RRbtfMS/KPLxv3wTpd1469Z6VEzZSCvsc4rUbEJSPS5Z+HZfjO/woA4iJ1ckI+mIzc1x+V2gcn5ici180aUAWWeyiBRXhNf6cQRoVSAsvigaX1wAMrZCuwul1PIYzShU7LJ0EQruFGrpXNXQP2hqhu6UJ7jwlaUcCwjFgUJFvvvAYrPIHli3HdsgdWL/9DPtnVXQvhxPwk/GhGocu74PwuMq9yILzDW/8rwJrAGkgL4anaVhy2VDY5Y1Nxrfz/da3dXiV+a1q6sP209F3uMZpxorpvq5+nyAbutgksSwXWqV4thB09Rtlw2VcVWIC1IqeoKrgTWLGWipH2HiNaugwuH3tGNnAPvQSWO/KSohGt16DHZEaPyQxRADI8rHAErNVV1c3dqLGpwLLFUfWp2M+r1QWjpQrhr4qsCaw6S3WTt16I3Bx8k6V60lllVUqstQWzMCXapVl3b1LlCiybBJblezrJC/8rDk+m7SprkI/7vp5AyOEJrL1nGnHaMl1ysoMEFgDMH2VNYA10qIojrJ+h4DFy/+ywZ+2DgPV6maYQOocSWITX9HsKoS40WggZY7IxuycVWMYQNXGnCqzAs/dMIy609x2RTBD+xrZViV+49hdu8JyfEg2dRpTNyIPVB6vHaJbbenxxsqzjlTp9KrCkn921EHoCVWANjP4ksAbqgWU0mbHk5Z24/l/b5SocR2w6UWf3s7uEly2fHqqEbcHWQS/+1hbGmNxC6KgCq7yxw85I+kR1KxiTKkTSfejrxCuwii0JrKQgTWClxOgxLD0WjAEbjla7fOwxSzvkoBCaQOgpoijYVcxkxke6nNbdG6sHVhdqu3gCq1cFliX5YJvY7U8FFiD5LYkCcLyqBecsFV18yl+ql15ruZbX1WUp0ZzQawKhLbOGSm2EnvpfceRJhDYthPvPWicQess0i5H7yZo2HDkvVVD6K4HFj61fW6rdhqTFOP0+XzI8HRpL9dsIH1dgAdYYg8XIvbqlC3ssbZVXuWkfBKgCyxMogUV4Tbi3EJpsWgJ1Lm77aEV+Fz5EK7A8nUIY5OsVKmwqrsUPXtqBhz48rPRLIVQIH2kNWEeA9xdencEvdvmJa7BWYJ1taIfRzBCj18gXUANB9sDqncCymUI4UHhbThUlsPqF3ELYnwSWg3tSR883u628KapqQUN7D4xmhvf3Vjh8THVzF45XtUAQgAWWaVz8wtITPrGYAPPET3+/y2cbOtDUYYBeI2JklvUCMjVWj4QoHcwMdkk4X/tfcXgFVo0lqRCsFViCIOD746XKCb4Gjiita8O+sxcgCsDc4Y4n+YU6I20SDt60DwI2Hlg2LYRDelVgZcRFoHdnX38TWMkxekyx+DBtPC5VTskVWF5UjgF9vb5ceVvdd8kQ3DazEA9YjOQ9JdXymuos34ceo1neP3gzgZCTHKPHcIvv484y6Rwgz88VWLwAYIoD/ytOQrQOf71pPB6/erRfKhXlG0BBksBaf1RK6k0tTJKnbLoiWi4goAosZ1ACi/CabqN0ku51BVaITCE02FRUuWoh5HfhQ7UCq8ONX0soTY0MBT6z+CZ8V1I3IN8SgvCWhrZuedoY4IMKLEt7wBBL4opfgARrBRZPrA3NiPOJeS2/edPbINaXCSy5BaK5E0HsjR+0VPQjgSWbuPfaPW8/VY+r/7kVD35wyOXf7z1jTRL/Z985h/YC3Lx9fG4i5o2QEhyHz3mWwCqta8Phc83QiII8Ya2/CSxefTU6O97ODkIQBDkhbWvk7usJhJyMePuEcrAmsADg+xOkBNa2U/VygqE37+89BwC4ZES6RxeqociIzAEksCzr3d5tkicBDuqVwNBqxD5Vfv1tIQSAy3u1EfL2PK8rsGx8i6L1GpfVvCmxEfjd9y9CgZc+aNYKLOk1Fle3oNtoRkKUDoP7mejhPlgcf1Vg9W4FnVzoumLsmgk5uGP2IL+8Fn78POfFEJTali6/DU1Zb6naXDw2y6PHW6fAUwGBMyiBRXhNfz2wonWhUdFjMFtPOl0msCy3iIzm0ExGtFt2jM5MIXkFlsHEKOEyQExmJvsmdBnMOHK+SdkXRKgKnrCKs3zXj1Y296ke8gY5IRQiFVi+9L8CrC0PvLWD09njmQeWJ/AT8PZuEzqD+5AZlAykhdDQK2H4xTHp4mPTiTq7trrecONiQKqg6N0qCACbLb+7dEQ6xlnMso94aOTOK3/mDEvFpZZR9Kfq2tDqpjLMEQccGLhz+PeET+4E/FiB1SuBlRzECayClBiMz0uEmQGfH+5bhWUwmfGffVICa8nUvEC/vIAxcgAJrJgIrd0EuqyESIc2FtmJvRJYA7jxwH2wdpY2oKXLICcfvfXAyrGJdWxOgtwC50t6e2BZ2wcT+33zZbqljZDjrwRWTIQW2TYVzo4M3AMFTzZ60kLY3m3Es18UY9az3+CKv36LSh8nsRq7gQMVzRAE4CoPE1jR5IHlFkpgEV7TXw8s/oV0dQIYDNhWVLlsIZTbSELz9niHm4st25OKYG/7DHYOVjSh0cb7amdpo4tHE4Rv4e2DC8dkIi5Siy7DwMyfeaWVXIFl+W9ta7fbNisl8HUCa/rgZGhEAWcaOuRKH8DGA8sHCawovUauRmkM3uGOQUlLlwFNHdLnsF8thL1yu1tP1QOQzn1sq6xsYYzJHifcbPm9PeV2j+kxmuXnunRkGkZmxUGnEdDY3uP2zj9jDJ8clJIm10zIRlpcBHISo8CYdy2IHEf+V5zeFVgmM5M9qnxdgZWZYJ9ECOYKLAC4xkUb4TfFtahv60ZqbAQuG5neZ3u4MNwmgdW7rc4TbJNeznzCsnolxgaSwBqUGoMhaTEwmhk2n6iT/aW8rcDKskmqeett5SlpvTywrAbu/U8GTbeZihijZYj1cpKhN/BzgZQYfZ/KukCS60ELIWMMnxyqxPznv8XKzadhMDG095iwdne507/pDwcbpM/utMJkpMd7ZmHACwuoAss5lMAiXNLU0dPnTn13Pz2wIkPEU4mX/WtEweWIXa2TUeqhAjdxj3Fi4q7XirJRfYeB7gIMhG+KpdJ1foG0q4wSWETg4NUWkwuS5BPvQ/00f27tMqDWcgebtw7GR+qQbvHuOB2EVVgllkqSYRm+SWDFRerk93H76Xr5975sIQSsF4cXun1/pz+c4UnFlBi9Vxdr/JzGxASYLV6YlU2dKK2zekHxBFRvyhs7UNfaDZ1GwO+vHQNASmhUN1s9zPaebURbtxGpsXqMyU5AhFYjt2MddZOEOnq+BaX17YjUibh8tGQCLH+XK7xLYPUYzbLRuCMfH27SzRNYZxra0WkwIVIn+vyitHcLYXKMzqfP72uuHpcFUQD2lzfZJa8B4L09ku/ZDZNzXA4ACnVSYyPk5E92PzwFM23+ZoiTz1Pv5x1osRP/znxdVIM6S3WTtx5YEVoNMuKlv3HlfzUQuAcWr8Dix+7++F9x0uMi5fbDFO9C9hrugzWpIMkn7fr9hSew6tu6HRZNnKhuxc2v7MTP3z2A6pYu5CVH4baZhQCAtXsqfHpdd6Be2hdcPc6z6ivA6k3c3mP0qDpXjYTvHpYYMEWVLZj2x434yVv77L5A3f2twNKFhok7N2XXujli6jUh7oFl8W/hZoGO4Bdi7XQXYEBw89DbLQfIfWcaHfqjEISvMZmZ7JMzMT8R4y2Tkw7aTCX0Bu5/lREfgbhI68XmEHkSofPpa0pgMjOU8gmEab6bdsSnTG091SD/zpcthIC1ZYUqsLyjP/5XgP05Db+A2WZJWPHTgW1OEli8MmtsTgIuyk7A1MIkmBnw4f5z8mN4++C84enyzbGxljZCdz5Y/zt4HoBk/M6TcuPzpL/11geruLoFPRZfncKUvu8Rr1Q8U98Og8ks+1+NzIz3edtUXKTObpBMSoyfr7AHSHp8JGYMkVqybKuwqpu7ZH+zJVPCt32Qs3zeEMwYnIKLB6e4f3AvbAdpOEuI2vqHCQIGnAy5fLRUEbfpRG2/WwgB4M7ZgzBzSIrfDPq5B1ZThwHVzV0ob+yAIAw8YcZ9sFIi/Xu9csv0fEwpSMJP5g72q447EqKs+5XKXoNQTtW24vsvbsWuskZEaEX88vLh+OqBefi/q0YhNTYCta3d+NrilzZQKi50oLxdgCgAV47xPIEVbdnHm5n1mpuwhxJYhFNW7ziDHqMZ3xTXyideANBjMXH3fgphaIwF5Qkpd3fQeILLEKIeWB1uKrAAaxlrsCcdg5lzFzpQXN0KUQB+Mm8I4iO1aO8xyXfACcKfnKxpRXuPCbERWgxLjxtwBRZPUPU2sA1WH6yy+nb0GM2I1In9andxxpxhUgJr+6l6uVqHV2BF+qoCy5LAqu+iCixv6I//FWB/TtPTK4F142QpKXG0shkXbNrBOdz/amqhdKG4ZGo+AKkqh38+NhVLCY5LRlgvfsfmJAJw3QZoMjN8epi3D+bIv+fJaG+/y9wTb3yeY1+drIRIxOg1MJoZzja0+83/ipNhk9BI8bKtSwmuGS+tAW/pBID/7KuAmUltQoPTfFPpGczcNWcw3r3nYqceqq7IjLdtIXRSgWXTQjiQ9kHOhLwkpMbq0dplRKdB+m5720IIAPfMHYJ37r7Yb214iVE6OUn81XEpiTIsPRbxkQOrTLxtViHGZMdjRrp/E1jDMuLwn3tnYkqh8wmEgUAQBOskwmb7NsKVm0vRbTRjUn4ivv7lPPx8/jBE6jTQa0UsmZoLAFiz66xPXgefPjh9ULJXFX+2Vdzt3dQB4whKYBEOaes22t1demZ9MUyWk7D+VmBF6UNjLCg3ZXdl4C5tD+0KLG4OGOOqAouMBAcMv2iZUpCM5Bi9fCdsV1mDqz8jCJ/AWxDG50mms/xObklt/8yfeTXTkF4XacE6iXCDxYB7Un6ST6tHJuQlIkavQUN7D45XSxf4/MLIVy2Eky0muAcaBBqk4QX9TWDpbW5adRvNYIzJFXbXTszBiIw4MAZsP9133839r/iF21VjMxEXoUV5Ywd2ljXg3IUOlNS2QRSAucOsCaxxudYKLGetIrvKGlDT0o2EKB3m2VR+jMlJgCgAVc1dqGnpcvi3juDG0M58fOwmEda0+W0CIcfWyD05OrhbCAHJS1CvEXGiphXF1S0wmxne2yu1D4azebuvsK3AGuzEA8vWxF3jgwSWRhTsfMn0IutX8s3fiKIgDzLgUxMn5g3cDH1kZjz+e+/FGJEYmtcr/YEbudtWYFU1d8rVrI9dPbpPle4Pp+VDEIBtpxpQ6oNzmXWW6YNXjcn06u80ooBInXQ8CvaiD6WgBBbhkM8PV6Kjx4S85CgkROlwoqYVH+4/B8aYfGfS6ymEsol7cJ+Ic1N2rZu5vboQ98Di5oCOJsBweHUWVWD1n42WBNZlo6STJz4RZhcZuRMBgBu485PggZo/O6/AktrzgskDizGGjywtXNdOzHHzaO/QaURMt7TP8Codvp+M8lEL4YLRGciIi0CrQcAXx3zT0uAPBuLR8f7eCox8bL2c6PcF5Y3SHXdvE1iCIMjH9R6jGSdqWlHf1o0onQaTChJt2kbt2wgvtPfIlYc86Rit1+J7EyTD7/f2VMhV7JMLkpBgk6QZnhEHvUZEc6cBFY2ODYd5pc9VYzPtbhzGRGgx3OJX5WkbYXu3Ub4wnjXEefsX/z6X1Lb5vQKLJ7AiNAwRPkr++pOEKJ1cRffJwUrsKG1ARWMn4iK0Hk8ZUzPcA0svsj5TKDm9Wwh9AffBAoD4IM6T8jbCHRZ/xYH4X6kZXsFsa+T++tYyGM0M0wclY6IDY/zcpGhcOkI6V39n18DM3E/XteFYZStEMLmF1RtiQqRrSSkogUU4hJtRLp1WgJ9eOgQA8LevTqK12wh+rup1BZblxKTHZA5q/x9eUaV3V4Elhu4Uwh6jWU5EumohpAqsgdHRY5Tv1s+33P3jE2F2n2mUqxoJwl8c4Aksm5PgCZb/P+ildw4A2dC6dwUWT2idbewImmqho+dbcLquHRFaEYu8vAPqCb19sDoNvvXA0mlE3Cy3NPh2MpKvqGruxOJ/bMUPVm73+rhuMjO88NVJdBnMeOHrkz57Tf31wAKsN+Z6TGZsLZEuIKcNSkaEViO3jfb2wdpnqWgakhYjV08AwM2Wapz1R6vlu/6XjLC/kNFrRYzKkpJFh8839Xk9XQYT1h2pAgB8f3zfJKy3bYSfH65Ce48Jg1Jj5GpgR/CBB9tP16OutRuCAIzM9J2HnC28hTAu+ApinMJbOf93sBJrLefL10zM9lnyOpwZn5uI7IRITExhTgclpcTo5WsMX7QQAsDsoalyVUtcEHeq8tZGfm0xqWDgFVhqRG4htFRgtXQa5KTU8nlDnP7drRdL7d//2X/OoQG8p6zYdAoAMDqJ9Wu6Kvcnpusvx1ACi+jDyZpW7C9vgkYUcMPkHCybUYicxChUNXfhlW9L5cd564Fle2DvsNkpnG1ox6V/2Yw/rTs+8BfvA2QTdzceWHqtdFA1hqAHlm1FlasTrpgQmRwZrGwtqUeP0Yy85Cj5An90VjxiI7Ro7TKiuJp8sAj/0dxhkCumbO82TuinkbvRDJRb7mb2rsDKiI9AbIQWJotvTjDw0QGp+ury0Rl2hvO+YrYlgbW7rAHdRpO8X/WVBxYALJmSC43AcKCiGUfcGH0HmsqmTtz8yk4UVbVg79kLWG9pl/CUTcW1qLRM6Tt0rtllQrXbaMLSV3fijlV7XCb+e4xmnLvAE1jee57x43q3wSwnqvg6TxuUDK0ooLyxA+UN1gl0e3r5X3HG5iRgVFY8eoxmucXw0hF978SPsRi5O1rfD/efQ0uXETmJUQ4TTuO9nETIW91umpLn0hibG7nzibmDUmNcVmsPBF6FExvEVTG9mT8qHTF6Dc43deJTi93Gkin5Cr+q0CAhWofNv5qDpUOdnzuLoiC3Gvqq9TtKr8HsoVLlXLwueG8e2prLx0VoMVQFnmr+IFdOYEnnLO/uOYf2HhNGZMTZ+RD2Zt7wdOQkRqGpw4DPD1f1S/t0XRs+PiDdtFiY279rRF5c8PbOcpTVB8c5VTBBCSyiD7z6av7IdKTHRSJSp8GvrhgOAHjlO2sCS+/lmOAIrShP8rFNoDz/5UmU1bfj5S2l+OJo/3YWvsRo8tADSwxdD6wOS6WATiO4rKSTjffJRLBffGNpi5k/MkO+WNBqRLnNhNoICX9yoEK6aC5MibarDOEVWN6aP9d3SVUzsRFapPcyJBUEIah8sIwms3xheZ2P2wc5wzNikRYXgS6DGfvPNvncAwuQWj4npEjHmNU7zvjseQfKuQsdWPLKDpxt6JAHmrz2XalX7YRvW4xy+c2w1dvPOH3s+3sqsP10A74prpVb4Bzx4f5zMJgYUmMj7NqQPIWf17T3mOTkDa+0i4nQYpIlEWzbRri3l/8VRxAELJmSK/+cER8hV1vZwn2werf0mswMr26RzrnunD3I4YW8PInwXJNsFu+MkppW7Dt7Qb456YphlhZCvpz+8r8CpMSfTiNgaELonEtF6jRYeJG1qnN0VjzG5PjvPQo3PJkqyBNYvmohBIAfzSiAVhQwMoi9oFJtjq3j8xKdVqkRrpFbCJs6YTQDb+6Qjjf3zB3s8vOnEQUsnS4lo/tr5v7PjSUwM2D+yDTk9zP/yKtrP9x/Dpf+ZTNueW0n1h+pClnbGl9DCSzCjm6jCf+1ZI1vnmY1o7x2Qo58JxGQTvK83akKgtBnEmFJTas8XQcAHvnoCGq9MCP1B0bLSaDOjQeWNoQ9sNo98L+StvMSVqrA8hazmVkTWKPs77rzNkIycif8CTdw7+31MCZbMnSvaelGVbNj3x1HVHdK+7wh6bEOTwB5W2EwTCL87lQ96tt6kBKj99vIc0EQ5Oqcrafq0Nnj2xZCzpxM6Rjzv0OVDifgOcJoMuP+d/bjp2/v93nLfkVjB5a8vBMVjZ0oSInGf++bBb1WxKFzzXI7nSfPsfmk5Av15x+MAwB8drgK9W3dfR7bZTBhxabT8s+vbDnd5zGAVH314jdS28a9lwzpV+UGbyHcXdaIjh4TUmL0dq1zPJnFq7O6DCa5cmqKg1afayfmyDeJLhme7vB7YzuJ0DYJ9eWxapxp6EBClM6pOfjwjDhE6kS0dhlR5qbykd+cvMxyc9IVOUlRcrsV4D//K/7cBx69DN/LD61zKe5xBkjny54kZQjPybYkoH3VQggA84an4cjj8zEzI4gTWDbTESeR/1W/4S2Eta3d2FkroK6tB1kJkfje+Gw3fylVqGpFAQfKm3CsUtq/M8ZwqKIJD394GFe+sAXbT9c7/NtTta34n+Xm2c8udd6q6I4/Xj8W//7xFFw2Ml02lr/37f2Y9cw3+HDfuX4/b7hACSzCjq+LatHY3oOM+Ai7STmiKOCRRSPln731v+LwdjVegfXCxhIwJlV7XZQdjwsdBjz4n8MDMoUdKDxJ564CS6fhHlihddIFWCdBxri50IrutV6E5xyrbEFtazdi9Jo+rR/cyH13WaOin3UivOEG7r1PgqP0Gozw0vwZAGotuS5eadWbIZa2I962qCS8fP9747PlfbU/sPXB6jT4voUQAApjgYuy49BjNMstYO54fVsZPjtchc+PVGGVi8ombylv6MDNr+zE+aZODEqNwdp7LsbY3ARcb6lye+27Mo+e593d5WAMmDMsFddMyMH4vET0mMxyksWWtbvLUd3ShfS4COg1IvaXN2Hvmb7Vq+/vrcD5pk6kx0Xglun9a+fiLYSbTkoXJ7OGptrdrJvNfbBO18NsZjhyvhk9JjNSYyNQkNLXcysxWo+bp+ZBEIDrJjmuehqWEYsIrZSEKre0PzLG8NK3UqJu2YwCpxPTdBoRY7ItVVguvss9RjM+4jcnPZiUpxEFO587f1ZgAQgJ8/bezB6aisFpMUiLi8A1DvzJiIGRbamg8eX0WMC9PYjSpNq0EDoyGic8Iy02AhFaEWYGrKuQ1vyOWYM8un5Ni4vAQotv5r+/K8PqHWdw1T+24poV27B2TwWKq1tx75r9OOOgte+Fr6Xr2oUXZeCiAST+NaKA+aMy8PptU7HlwUvx00uHIDVWj9rWbvLaAyWwiF6s3SMZ3N04Oa/PTn7u8DT5brO3/lcc3lrRaZD8f7g56a8XjsALSyYgQivi25N1eGtn/8o2B4rJzLDSctLI+6edwS+KzAxuS/eDDbkCy80YYb6dTAS95+vjUpvLnGFpfSZ2js1JQKROxIUOA0qCoFqFCD/MZiZ7Cjk6CebeOQe8SGDxCqze/lecYKnAaus2YsMxyY/J19MHezNrqJSMPnKuCRc6DAB8N4WQIwjArZaEzFs7zrod/lDR2IG/fmU1Rf/bVye9qrRzBm8bPN/UicGW5BVv07tj9iAAwIaiarceaD1GM963JOJ4ounHMwoAAGt2nrWrGOsymPCvzdIx+f8tGIbrLUmgl7eU2j4luo0m2TT3vkuG9DuJyPfV/LvDz3k443MTEBuhRVOHAccqW7DnDPe/SnJagfP41aOx59EFuHiw46l/Oo0oVzgdOS/5Iu4+cwGHzjVDrxXx45mFLl+z1Qeryeljvj5eI9+cnOdhRaLt99yfFVihik4j4rOfzcY3v5pnN1mS8A1ZiVKVoNo66GwTWBMs323CewRBkNsI240C4iK1dp1F7rh1unRM+ujAeTz+v2M4XtUCvVbEtROyMT43Ac2dBty1ei9auwzy35yobsXnluvaXywY7rNY8pKj8eDCkdj+8Hz865ZJuHx0hs+eO1ShBBYhc+5Ch+zrcNMUx1/yhxeNRIRW7DOBylOibUzB/27JUl81NhOjsuIxLCMOD1uqvJ7+/LgiF0ErNp3C7rJGxOg1eGTRKJePta3QMoSYkbvHFVg6qsDqL87aBwGpgtHqg0VthErTZTDhd58cwzPri4N6Qqojmjp68OAHh/DvrWV21Xyl9W1o7TIiUidihIPpYRM9uOjtTS1vIXSy/x8qV2C1KVpZ+MXRanQZzBicGoPxFn8hf5GVEIUhaTEwM2v1rq9bCAHg6rGZSIzW4XxTp7xvcQRjDI9+fBRdBjOmD0rGpPxEtPeY8PvPigak39plwJ2r9qKquQtD0qTkVUa8tQ1teEYc5g1PA2PAG9vOuHyuL45Vo75NSqbMHyWdiF81NgspMXpUNXfJyX9AMt6tbe1GTmIUbpych7vmDAYgJWRsvdbe21OBquYuZMZH4uZp/TfT5nfneY5w1jD7BJZWI8qJqK2n6p36X/X+G9uLUkeMsxi5H7UksF7begYAcOPkXLd/yxNYB12Y/PNJeY5uTjqDG7mnxka4bTlUK9F6rV8GRBD+aSEMBYZlxEIjChifl4ikfkyvI6zk2BQiLJ2a59V39eLByRhr2S+PzIzD7743Grv/bz5euHkiXl02BRnxEThV24YH3jsoFzH8feNJMAYsHpuFUX6oWtVrRVw1NsuvVeWhAr0DhMwHe8+BMemOcr6DUnhAmpbzza8vwb9vm9IvDX5nep9lYpEgAP9vvjVL/eMZhZgzLBXdRjMeeO9gQMex7z3TKI/y/v21Y1CY6rhNhmPrkeUrI/eGtm48/OFhvPZdqcuqLsYY3thWht/85zBqW733DOOeVm49sOQKLEpgeUNNSxeOnG+GIPQdm87hbYQ7y8jIXUl6jGbc9/Z+rNp+Bi99exo/X3sgZNqCL7T3YOmru/DBvnP4/WdFdlUp+882AQDG5SY6PNnhF71HzjW7regBpIquGksRj7MKrIKUaGhFAR09JlQ1+9fLsL6tG498dBhvbCvrkyzj7YPXTswJiC9N7yodX5q4cyJ1GtkH6U0XLYGfHKrElpN10GtF/On6sfjDtWOhEQWsO1KNzSecJ75cYTIz/PzdAzhR04q0uAi8ded0pMf3TWjcNUeqwnp/bwWaOw19tnPetlRYL5maL382I3Ua+e74m9ul7T0m4BVLS+LPLhsKvVbE0PRYLBiVAcYk03iAe2RJ1Vc/vbT/1VcAoLe5MTUoNUa+g2/LbEvV3XcldXIroyP/K2+QJxFWtqCyA9h8sh6CANxtSdi5gk8VPV7Zgm5j32P1+aZOfFci+Y05uznpCJ6om9MriUcQgWBEZhy0NtMI1UJWQhQ2/eoSrL5jmtIvJeThnTQagWHZDO9ubAiCgDV3TcfXv5yH9f9vDm6bNQiJ0VJCMT0+Eq/8aAr0WhFfH6/F81+dQFFlC9YdsVzXLhjm81gIe8I6gbVixQoUFhYiMjIS06dPx+7du5V+SUGLyczwgc14ZVfkJEb1+44TvzPNJ+ssHptlVx0gigKe+8F4JETpcOR8M5767JjDEzJf09xpwP9bexBmBlw7IRvXT8p1+zd2FVg+uOA9VtmM778o9Vf/4fPjuOetvWjp6nsR0NFjxP3vHMCTnxbhvb0V+N4/t3psnCs/h2WqYEyEpx5Y1ELoKYwx/MdisDg+NxFpcY7vnk+3+GKRD5ZyGCxG198U1yJCK0KvEbHuSDXuf2d/QJPn/aGhvQc/fHUniqpa5ErKZ9YX431LpQWfQDjRiQns0PRYxOg1aO8xeVTtWtPajR6zAK0oID/Z8Q0OnUaUfYD8OYnwQPkFXP2PrXh3dwWe/LQIv/nwsLwPrm7uwjaLuaq/pg/2ZvYw+5YsX3tgcW6dXgBBkCp/TtW29tl+ob0HT30qVVr97NKhGJwWi9HZ8bjN0oL2xCfH0GXw/nj69OfHselEHSK0Il5dNkX2punN7KGpGJERh44eE9buLnf4mJKaVuwqa4QoAD/s1c5xy/QCiAKwo7QBJTVt2FojoL6tB3nJUbhhsvWY/JN5UlLnw33nUdvahXd2laOmpRvZCZG4yQN/J1fYtnvz9tA+cVoSOttPN6Cly4gonWbALXbjLEmoosoWbDwvnZovGpPp9kYaAOQlRyE5Ro8ekxnFVX0/Fx/srQBjwMwhzm9OOmJKYTK+fGAufn/tGI//hiB8RXZiFNb/vzl443b1JXLyU6KREEWVfQOFD8i4OJ31mZzsCQlROgx1MrRmfF4inr1hLABgxabTuP+d/QCAq8dlY3hG36p3wreEbQLrvffewy9/+Us88cQT2L9/P8aPH4+FCxeitrZ/dyDDlaaOHnxXUoc/rTuOyuYuJETp7EYD+5oonbWiRxCAXzjIUmcmROKP10k7hTU7y7Hwb1uwyUXLxEBhjOH//nsE55s6kZ8c7fHJmla0TWANLAHx+eEq/GCl5C2SkxglZ/WveXEbTlRbT0jPXejAD1buwOdHqqAVBeQlR6GmpRs3v7IDb+8663EixOMKLD6FsJsqsDyhtK4Nt72xB89tOAFAugBxxvi8ROi1Iupau1FmYwRZ0diBv311Eve/s7/Pv999cgyHKpoUT3i1dxuxds85fFgm4ruSer95wLV1G/H2rrP43SfH8F1JnU91jCYz/t/aA/iyqAZ6rYh//3gqXv7RZOi1IjYcq8FPgziJ1WoAlr2+F8XVUkXM/+6fheXzpGk3D390GF8eq5YrsCbmOa4M0YiCfNF8sMJ9AvyUJSFVkBLtsnzdUx+s+rZuvLLlNJ7+vAgHvfhMv7f3HJa8vBPVLV3ISYyCKADv7z2HO1btQWuXAf87eB6MSZ5EeU4Sbb5m+uBk2WhYEPrvEemOvORozB8ptdz99auTfSYS/nHdcTS092BYeix+Ms86/eiBy4cjMz4SZxs6ZD8pT3lndwVe3yZVQT1/03iXniyCIOBOSxXWqu1nHN7YeXuXlNiaPypD9s/iZCdG4YrR0j7zle/K5ETOzy4bZveZm1KQhIn5kun7y9+Wyr6V9182rI/foLfYGvzOHurYK2pIWiwybSrQJuY7rnL0hiFpMYjSSQnlvfXSc90z17MJVoIgyK2yh8412W2Tbk5KN1ScTTJ0xfCMOMS68cokCH8xLCMOydRGR/STm6bkYs0dU3BDoX/O5a6bmIufzJVuqJTWt0MUgP83n6qvAkHYHpX++te/4u6778btt98OAHjppZfw+eef4/XXX8fDDz+s8KtThtYuA46cb8aRc804bPlveWOH3WOun5Tjt7vHgL257TXjszE03XGWevG4LJjYRPzhsyKcaejA7av2YMGodDx29WgUpLi/I+kNH+w9h88PSwmhv988wePqMkEQoNMIMJgYjP30wDKbGV74+iT+YRn9PWdYKl784SScbWzH8rf2oay+Hdf9axv+/INxSI+LxL1r9qGhXRoNv/LWyRidHY8HPziE9Uer8eh/j+LA2Qu42IOXzyuw3Hm18ARXRz/u2quJbhPw3Jcn8cb2szCYGPQaEXfNGSQbGzsiUqfBhLxE7C5rxLZT9SiubsW7u8ux9VQ9XF3Lr9p+BqOy4vHDaXlYfJHj9kR/UVzdgrd3luO/B86jrdsIQMSW1fuRkxiFJVPzcNOUPGT6oNz/eFUL1uw8i48PnJeTrau2n0FechSWTMnDjVPykBzV//2U0WTGA+8fwroj1dBrRLzyo8lyVcWry6bg7tV78VVRDe5dsw//unXSgC+KfUl9WzdePKZBdWcb0uMi8O49F2NIWix+c+UINLZ34/2953D/u9Y2SFdjuMfnJWJHaQMOVjRjyVTXuqWWyYKD3VSEDE2PxZdFNQ4rsMxmhq2n6rF2Tzm+KqqRE/+vfleGi7LjcevFBfj++GyHE9e6jWasPS1ixw6pwujKizLxl5vGY1dpA+5/5wC+K6nHjS/tQI8lbn+bt9sSH6nD+NwE7C9vQrRO49e2xdtnFeLr4zVYd6QaG4/X4poJ2Vg2oxAtnQZ8YKn8fOaGsXaJmNgILR7/3mjc9/Z+vLT5NK6dkI3BHvhYnmgS8PKuYgDAry4fjqvHuR8/fs2EbPz5ixOoau7CuiNVuGaCdR06eoz4cL/0Gm+9uMDh3y+bWYAvjlXj40NVAATkJ0fJEw45giDgJ3MHY/ma/fj3Vim5lpMYhR9Mdl857Q69JRElCsAMJ6brgiBg1tBUORZX/leeotWIuCg7Hnst1dTTCpO8MnAen5eITSfqcLC8CctmWH+/7VQ9zjd1+v3mJEEQRLCh1YiYPigZ6477T+OhK0fiRE0rNp+owzUTcpxaLBC+JSwTWD09Pdi3bx8eeeQR+XeiKGLBggXYsWOHw7/p7u5Gd3e3/HNLi2SkaTAYYDA493IIdt7eeRafloh44YWtKGvocPiYguRojM2Jx7jcBNw4Ocdn8fLnsX2+SMuIalEA7ps3yKXWotFpmDNkFlZsLsWq7Wfx9fFabCmpx9VjM92aj5vMZlRUiNj1yTFoROd3RhmAD/dLfim/mD8UY7JivYpfK0oJrD+vPy7fpfRUGwBO1bVjR6nkoXHnrAL8+vJh0GqAURkx+Ojei/HA+4exo7QR979zABpRgMnMMDorDiuXTrC0cTD8/aaxuCgrDn/9ugT/2X8eO6I12G92rc3NXiO1gst4IzTSBebZ+nY89t/DLmPxJm5fo7T254c0aO45AwCYNywVv108AoUpMYDZBIPZefJvaoGUwHrsf8fsfj9zSDLmDUu1Gx/NABw514IvimpwvKoFj//vGP74+XGMThCxy+j/uIuqWrGvvEn+uTAlChliO4636nG+qRN//eokXvj6JOYOS0Wemwmerjha2YIDFVYz4sGp0ZiQl4ivjteiorETf/nyJP72dQnmDEmGqbV/a366vh3bTzdCpxHwzx+Ox6zBSfL3YOagRLx8y0Qsf/sANhbXYukrOzE6y5poV/KzBgDfnapHdaeAjLgIrLlzCvITI+TX/uTVI9HY1o2viyW/m5zESCRFaZx+x8dmSyda3xyvwWP/dV0BxS+sB6VEudxnFCZLa7+puNZun2E0M3xXUo9zTVZvrPG5CchLisKXx2txrLIFj3x0BE9/fhyXj0rrU/Wxr/wCimpFCAB+uWAofjJ3EASBYe7QZLx95xTcs+YAii3VqjqNgIWj0nxyLHN0HHPEjMHJ2F/ehEid8/fbF/rTChLwwk3j8PKWMhyvbsX7e8/h/b3nEKmTPotLp+ViXHZcn9ewYEQK5g5LwZaSBtz39n5MLUh0qWsym/HfkyJMZoZrxmfhJ3MKPIpLBHDLtFz8/ZvTeP7LE9hbZh1SUdXchdYuI/KSonBxQYLD55uSF4+haTE4ZUmY3junEMzBfvSSYSkoSI7GWctNuJ9eMggCM8EwwJst/P7dRVlxiNY5X/cZgxLlBNaE3L7vd3+4KDtO/p7dPiPPq+cckyV9l789WWf3vdtjqcT8/vgsaGCGweD4Zpunn3N/oZS+WuMmbdImbd/xj5vG4eviWlw6wv68Q+n9SzAz0PdEYEr3oviByspK5OTkYPv27Zgxw3or6qGHHsK3336LXbt29fmb3/3ud3jyySf7/P6dd95BdHRg2hD8wT+OanC61XoRnBzBkBfDkB/LkBcL5MUwRAcwjbmuXMSG8yKmpppx6zDPq5ZqOoEPy0ScaPbPBeOweDPuG232elzvE/s0aOoZ2N12rcCwZIgZ09L6fhVNDPisXMQ3lVLcE1PMWDrEDEf5u+ImAW+WiOgwev56vpdvwoIc57uA6g7gT4fCMs/tc1IiGK4vNOOiJAZPCzBOtwD/OCa9v/E6hunpDBenm5Hqooip3QDsrRewo0ZEVWdgp/OIAsO4JIZZmQzD4qU4e0zAoUbp9djuawaqMz6ZYVYGw1AbnYMWnVIf6IgCw+3DzRiX7Pjzf6JZwKvFIgzm4JuAlKhnuH+0CWkO8oQ9JuCl49J+f0qqGT9ysZ9t7pH2YQyex3jbMBMmpjrfZ5xvB/582Pk+I0rDMDVN+pznWIq52g3ArjoB22pE1Hc5fy3RWoYfDzNjZGJf/YYu4OViDWo6BYxPNuOOEYFt/yxrBV44qkVmFMMjE/xfscqYpPldtYiDjQLMTECCTtKOcvL213cBzxzUwMA8X+9BcdJnzZuuyDYD8Lv9Gqffne/nmzDfxXFna7WAD8o0SI9keHiCCRonL3dbjYD3SzVIiWB4dIIJvhjM9PEZEZuqRCzMNeOqPOefoZYe4In9GmgA/GGKCZE+OEweqBewqkSDrCiG34w3eXwcAaTv0G/3aWB2srYPjTPK3zeCIAiCUJKOjg4sXboUzc3NiI/33kOSElgWHFVg5eXlob6+vl9vbLDw3p5ybD9wDN+fPRETCpKREsBecoPBgK+++gqXX345dDqpr62pw4ANRTX43rhMt/5LvWGM4duSehy0qc5whtlkQmlpGQYPHgRR47paK0Ir4uapuUiK9v69OVDRhG9P1vdbWyMIuHx0OkY6GHNvy7bTDWhs78HVYzNdtqecrW/FC//diryCwW61YyO0uGlyDuLdGEX+72Cl0+o9W7yJ29cord1wvhSP3HwpYqO8b59bd6QaEToR84alejzeHJC+D/vONGD1l3tQOMj9eg+UhCgdFo/NlI0wHX2/S+va8dXxWnQOoAoiMVqHxWMynZrfA5K/0oZj1Th+4lS/13ze8FRMdNOiU1zdii+LamBrvaXkZw0AdCKQ1HQSN15tfd9709ZtxP8OVWHByDRkOJgWZ8vG47U4UtniVtdsMqG2ohSP33IZoiNdm6E622cMTo3BFaPTnbapm80MO8oase/sBfS2O9MKDInNJVjiIu7mTgM+PVyFy0elu43bUxx9zp3xv0NVGJIagzE5vjtn8ES/trUbXxXVYNqgZAxz076wq6xRrvp1hdlkQlV5KR5ZcgmS47yvqHSmEx+pxS3T8136hJnNDO/vLUd3xTEs/b7zuM1mhg8PVGJyfiIGp/kmO1Pd1I6/f7QFv7npEiTGuo57++kGaDUCpvmghRDgcVfAcO4obv6e+89bbzafrHN4fjQiI9alHyPg3efcHyilr9a4SZu0STu8tYOdlpYWpKam9juBFZalFampqdBoNKipqbH7fU1NDTIzHR/EIyIiEBHR96Rcp9OF9IduydR8xNUdxfzRmYrFYfsepiXocOsM575A7rj8omxcfpF7Hw6DwYB1607jqitG+DXuaYPTMG2wvdGrP7QvGemZd0VBahwuz2E+1f7BVMdeJb0J1HserNqxUZH90r5mUv+nZk0ZlIraPN+ut7fYfr9HZCdiRHai3zVH5SRhaHos1nWe9GvsY/OSMTbP/uJUyc+aVf+ky2NTkk6H22YN9uj5rhyXgyvHufeL4nFHR0a4jdvTfYYjLhmZ6XB/J+mXuIw7VafD7bM9M772Fk/OBX4wxbsx3b7Sz0nW4bbZnvluzB6egdnDM9w+jq93clxUvz7nnuo44+ZpBVhXf8zt+7704sJ+azgiMzEGczIZEmPdxz3Pw+OyN9w8LR/r6o/269zT0/MjVyh9zquUvlrjJm3SJu3w1g5WBvp+hOUUQr1ej8mTJ2Pjxo3y78xmMzZu3GhXkUUQBEEQBEEQBEEQBEEEP2FZgQUAv/zlL/HjH/8YU6ZMwbRp0/DCCy+gvb1dnkpIEARBEARBEARBEARBhAZhm8BasmQJ6urq8Pjjj6O6uhoTJkzAF198gYyM/pe0EwRBEARBEARBEARBEIEnbBNYAHD//ffj/vvvV/plEARBEARBEARBEARBEAMgLD2wCIIgCIIgCIIgCIIgiPCBElgEQRAEQRAEQRAEQRBEUEMJLIIgCIIgCIIgCIIgCCKooQQWQRAEQRAEQRAEQRAEEdRQAosgCIIgCIIgCIIgCIIIaiiBRRAEQRAEQRAEQRAEQQQ1lMAiCIIgCIIgCIIgCIIgghpKYBEEQRAEQRAEQRAEQRBBDSWwCIIgCIIgCIIgCIIgiKCGElgEQRAEQRAEQRAEQRBEUEMJLIIgCIIgCIIgCIIgCCKooQQWQRAEQRAEQRAEQRAEEdRQAosgCIIgCIIgCIIgCIIIaiiBRRAEQRAEQRAEQRAEQQQ1lMAiCIIgCIIgCIIgCIIgghpKYBEEQRAEQRAEQRAEQRBBDSWwCIIgCIIgCIIgCIIgiKCGElgEQRAEQRAEQRAEQRBEUEMJLIIgCIIgCIIgCIIgCCKooQQWQRAEQRAEQRAEQRAEEdRQAosgCIIgCIIgCIIgCIIIarRKv4BghTEGAGhpaVH4lQwMg8GAjo4OtLS0QKfTkTZpkzZph7y2kvoUN8UdSChuijucdZXWV2vcpE3apB3e2sEOz6/wfIu3UALLCa2trQCAvLw8hV8JQRAEQRAEQRAEQRBEeNDa2oqEhASv/05g/U19hTlmsxmVlZWIi4uDIAhKv5x+09LSgry8PFRUVCA+Pp60SZu0STvktZXUp7gp7kBCcVPc4ayrtL5a4yZt0ibt8NYOdhhjaG1tRXZ2NkTRe0crqsBygiiKyM3NVfpl+Iz4+HjFvjykTdqkTdrhpk9xKwPFrQ5dpfUpbmWguEmbtEmbtNVBfyqvOGTiThAEQRAEQRAEQRAEQQQ1lMAiCIIgCIIgCIIgCIIgghpKYIU5EREReOKJJxAREUHapE3apB0W2krqU9wUtxr0KW6KWw36ao2btEmbtMNbO9whE3eCIAiCIAiCIAiCIAgiqKEKLIIgCIIgCIIgCIIgCCKooQQWQRAEQRAEQRAEQRAEEdRQAosgCIIgCIIgCIIgCIIIaiiBRRAEQRAEQRAEQRAEQQQ1lMAiCIIgCIIgCIIgCIIgghpKYBEEQRAEQRAEQRAEQRBBDSWwVMTx48cxePBgRbRPnz6Nyy67TBFtijvwKBn3oUOHoNFoFNFW8j1X63oDysVOcSuDWuNWat+m5L5FSX1ab2VQa9xKft4qKipwxx13KKKt1nMXta43xU34AkpgqYienh6cPXtWEe22tjZ8++23imhT3IFHybgBgDGmiK6S77ma11up2CluZVBr3IAy+zYl9y1K6tN6K4ca41by89bY2Ig333xTEW21nruodb0pbsIXaJV+AYTv+OUvf+lye11dnd+0//GPf7jcfv78eb9pU9yOCde4r7/+epfbm5ubIQiCX7SVfM/Vut6AcrFT3I6huP2DUvs2JfctSurTejvG3+ut1riV/Lx98sknLreXlpb6TVut5y5qXW+K2zH+Pp6oDYEpVapA+ByNRoMJEyYgPj7e4fa2tjbs378fJpPJ59qiKCIrKwt6vd7h9p6eHlRXV/tFm+JWV9w6nQ6XX345MjIyHG5vbGzEZ599FnbvuVrXG1Audoqb4rbF33ErtW9Tct+ipD6ttzLrrda4lfy8iaIIQRBcVrYJgkDnLmGkrdR6U9zKHE9UByPChuHDh7O33nrL6fYDBw4wURT9ol1YWMjee+89RbQp7sBrKxn32LFj2WuvvaaItpLvuVrXRIDgKQAAKfZJREFUmzHlYqe4A6vLUWvcSu3blNy3KKlP6x1YXY5a41by85adnc0+/vhjRbTVeu6i1vWmuAOvrUbIAyuMmDJlCvbt2+d0u7us9ECYPHmyYtoUd+C1lYx78uTJ2L9/v9PtERERyM/P94u2ku+5WtcbUC52ijuwuhy1xq3Uvk3JfYuS+rTejqG4/YPS50107kLapB2e2mqEWgjDiOrqanR3d6OgoCDg2kVFRejo6MCUKVMcbjcYDKisrPTLa6O41RV3d3c3TCYToqOjff7c7lDyPVfregPKxU5xU9y2+DtupfZtSu5blNSn9VZmvdUat5Kft++++w7t7e248sorHW5vb2/H3r17MW/ePJ9rq/XcRa3rTXErczxRG5TAIgiCIAiCIAiCIAiCIIIamkIYhhiNRhw7dgzV1dUAgMzMTIwePRo6nS4g+s3NzXbaCQkJAdGluNUVd3V1NXbt2mWnPX36dGRmZvpdW8n3XK3rDSgbO8VNcQcKpfZtSu9baL3Vtd5qjRtQ9vMGSFVwgNSuGSiUft+VfM/VuN4AxQ0oE7cq8LvLFhEwTCYTe/TRR1liYiITBMHuX2JiIvvtb3/LTCaT3/RfffVVNmrUKCaKot2/UaNGuTTsHCgUt7ribmtrY7fccgvTaDRMq9Wy9PR0lp6ezrRaLdNoNOzWW29l7e3tftFW8j1X63ozpmzsFDfFHai4ldq3Kb1vofVW13qrNW7GlP28ffnll2zRokUsMTFR1k1MTGSLFi1iX331ld90lX7flXzP1bjejFHcSsStNiiBFUY8+OCDLC0tjb300kusrKyMdXR0sI6ODlZWVsZefvlllp6ezh566CG/aP/5z39m0dHR7OGHH2abNm1iRUVFrKioiG3atIk98sgjLCYmhj333HN+0aa41RX3nXfeyYYNG8a++OILZjQa5d8bjUa2YcMGNnz4cHbXXXf5RVvJ91yt682YcrFT3BR3IONWat+m5L5FSX1ab2XWW61xK/l5W7VqFdNqtezmm29mb7zxBlu3bh1bt24de+ONN9gPf/hDptPp2OrVq/2irdZzF7WuN8WtzPFEbVACK4zIyMhgX3zxhdPtX3zxBUtPT/eLdn5+vsvxoWvXrmV5eXl+0aa4HROucScmJrJt27Y53b5161aWmJjoF20l33O1rjdjysVOcTuG4vYPSu3blNy3KKlP6+0Yf6+3WuNW8vM2bNgw9uKLLzrdvmLFCjZ06FC/aKv13EWt601xO8bfxxO1ISrdwkj4jtbWVmRnZzvdnpWVhfb2dr9o19bWYuzYsU63jx07FvX19X7RprgdE65xm81m6PV6p9v1ej3MZrNftJV8z9W63oBysVPcjqG4/YNS+zYl9y1K6tN6O8bf663WuJX8vJWXl2PBggVOt8+fPx/nzp3zi7Zaz13Uut4Ut2P8fTxRHUpn0AjfcdVVV7ErrriC1dXV9dlWV1fHrrzySrZ48WK/aM+ZM4ctW7aMGQyGPtuMRiNbtmwZmzt3rl+0KW51xb106VI2ceJEtn///j7b9u/fzyZPnsxuueUWv2gr+Z6rdb0ZUy52ipvi5gQibqX2bUruW5TUp/VWZr3VGreSn7dJkyaxBx980On2hx56iE2aNMkv2mo9d1HrelPcyhxP1IbAGGNKJ9EI31BRUYGrrroKxcXFGDt2LDIyMgAANTU1OHLkCEaPHo3PPvsMeXl5Ptc+fPgwFi5cCIPBgLlz59ppb9myBXq9Hl9++SXGjBnjc22KW11xX7hwAUuXLsWGDRuQlJSE9PR0ANLdj6amJixcuBDvvPMOEhMTfa6t5Huu1vUGlIud4qa4uW4g4lZq36bkvkVJfVpvZdZbrXEr+XnbvHkzrr76agwePBgLFiyw0964cSNKS0vx+eefY+7cuT7XVuu5i1rXm+JW5niiNiiBFWaYzWZs2LABO3futBvhOWPGDFxxxRUQRf91jba2tmLNmjUOtZcuXYr4+Hi/aVPc6oobAIqLi7Fjx44+2iNHjvSrrpLvuZrXW6nYKW6KO5BxA8rs25TctyipT+utzHoD6oxbyc/bmTNnsHLlSofay5cvR2Fhod+01Xruotb1priVO56oBUpgEQRBEARBEARBEARBEEENmbiHOWPHjkVFRYUi2osXL0ZVVZUi2hR34FEy7vj4eJSWliqireR7rtb1BpSLneJWBrXGrdS+Tcl9i5L6tN7KoNa4lfy83XfffYqZSqv13EWt601xE76GElhhzpkzZ2AwGBTR3rJlCzo7OxXRprgDj5JxK1lIquR7rtb1BpSLneJWBrXGrdS+Tcl9i5L6tN7KoNa4lfy8rVmzBi0tLYpoq/XcRa3rTXETvoYSWARBEARBEARBECqBHGTUhVrXW61xhzuUwApz5syZg6ioKEW0CwoKoNPpFNGmuAOPknHfeuutipkjKvmeq3W9AeVip7iVQa1xK7VvU3LfoqQ+rbcyqDVupT9vSqHWcxe1rjfFTfgaMnEnCIIgCIIgCIIgCIIgghqqwFIRFy5cwOrVq/3y3B9++CE6Ojr88twDheL2PcEcd01NDZ566im/PPfzzz+Ps2fP+uW5B4pa1xvwX+wUd3Ci1rj9tW8L5v0aQOvta4J9vdUad3t7O7Zs2eKX5963b59fntcXqPXcRa3rTXETPoERquHgwYNMFEW/PLcgCCw+Pp7dfffdbOfOnX7R6C8Ut+9Rc9wajYYtWLCArV27lnV3d/tFpz+odb0Z81/sFDfFHUz4M+5g3a8xRuvta9S83mqMmzEp9iFDhrCnn36anT9/3i8a/UWt5y603r5HrXGrEarACiNaWlpc/mttbfWr/q9//Wvs3bsXM2bMwJgxY/DCCy+goaHBr5oAxa22uA8fPuzy34kTJ/yq/9prryEmJgY/+tGPkJ2djV/84hc4evSoXzUB9a43oGzsFDfFHai4ldy3KbVfA2i91bbeao1baS677DL8/e9/R0FBAa6++mp8/PHHMJlMftdV87mLkii13kqj1rhVh9IZNMJ3CILARFF0+o9v95d2TU0NY4yxvXv3snvvvZclJiayiIgIduONN7Ivv/zSL7pcm+JWX9yCIPT5F8i4a2pq2LPPPstGjhzJRFFkU6dOZa+88gpraWnxm7Ya15vrKxE7xU1xKxF3oPdtSu7XuD6tt/rWW21xJyUlufwXHx/v92O4wWBg//nPf9hVV13FNBoNy8jIYA899BA7ceKEX3S5thrPXdS63hR34ONWI2TiHkYkJCTg0UcfxfTp0x1uLykpwU9+8hO/ZKJFUUR1dTXS09Pl33V1deGDDz7A66+/ji1btiA/Px9lZWU+16a41RV3amoq/vznP2P+/PkOtx87dgzf+973AhY3AHz33Xf497//jf/85z8AgLa2Np9rq3W9AeVip7gp7kDGrdS+Tcn9GkDrrbb1VmvcMTExuPfeezF27FiH28+ePYsnn3wyYMfw8+fP4/XXX8eqVatw5swZzJo1yy8ePWo9d1HrelPcgY9blSidQSN8xyWXXMKeffZZp9sPHjzIBEHwi7YoivJdDkeUlJSw//u///OLNsXtmHCN+4orrmC///3vnW5XMu7m5mb2yiuv+EVbrevNmHKxU9yOobj9g1L7NiX3a4zRejsjXNdbrXHPnDmTvfDCC063+9Mjx13sX3/9NVu6dKlftNV67qLW9aa4HUMeWL5Fq3QCjfAdS5cuRWdnp9PtmZmZeOKJJ/yizdwU8g0dOhRPP/20X7QpbseEa9zLly9He3u70+35+fl44403/KLtLu74+HjcfffdftFW63oDysVOcTuG4vYPSu3blNyvAbTezgjX9VZr3IsXL0ZTU5PT7cnJyVi2bJlftN3FPn/+fKcVcQNFrecual1vitsx/oxbjVALIeETzp49i/z8fAiCoPRLCSgUt7riVitqXW+Km+Imwhdab0ItfPvtt5g1axa0WnXVLaj1O67W9VZr3GqEElgEQRAEQRAEQRAEQRBEUEMpyjCjvr4er7/+Onbs2IHq6moAUnnuzJkzcdtttyEtLY20STvktYuKivDiiy/20Z4xYwbuv/9+jB49Oiy11breSupT3BR3IONWav+i5H4NoPVW23qrNe6enh58/PHHDj9v11xzDfR6fVhqq/XcRa3rTdqB11YbVIEVRuzZswcLFy5EdHQ0FixYgIyMDABATU0NNm7ciI6ODmzYsAFTpkwhbdIOWe3169fj2muvxaRJk7Bw4UI77a+++gr79u3D//73PyxcuDCstNW63krqU9wUdyB0OUrtX5TcrwG03mpbb7XGferUKSxcuBCVlZWYPn26nf6uXbuQm5uL9evXY+jQoWGlrdZzF7WuN2kHXluVBNIxnvAv06dPZ/fccw8zm819tpnNZnbPPfewiy++mLRJO6S1x40bxx577DGn25944gk2duzYsNNW63orqU9xU9yB0OUotX9Rcr/GGK23M8J1vdUa94IFC9g111zDmpub+2xrbm5m11xzDbviiivCTlut5y5qXW/SDry2GqEEVhgRGRnJjh8/7nT78ePHWWRkJGmTdshrFxcXO91eXFwcttpqXG8l9SnuwOoqrR8McSuxf1Fyv8b1ab37Es7rrca4o6Ki2JEjR5xuP3z4MIuKigo7bbWeu6h1vUk78NpqRFS6AozwHZmZmdi9e7fT7bt375ZLGkmbtENVu7CwEJ9//rnT7Z9//jkKCgrCTlut662kPsUdWF2l9ZWOW6n9i5L7NYDW2xnhut5qjTsxMRFnzpxxuv3MmTNITEwMO221nruodb1JO/DaaoRM3MOIX//617jnnnuwb98+zJ8/v0+v96uvvoq//OUvpE3aIa391FNPYenSpdi8ebNDT4MvvvgC77zzTthpq3W9ldSnuCnuQOhylNq/KLlfA2i91bbeao37rrvuwrJly/DYY485/Lz94Q9/wM9+9rOw01bruYta15u0A6+tSpQuASN8y9q1a9n06dOZVqtlgiAwQRCYVqtl06dPZ++99x5pk3ZYaG/bto0tWbKE5efnM71ez/R6PcvPz2dLlixh27dvD1ttta63kvoUN8UdyLiV2r8ouV9jjNZbbeut1rifeeYZlpWVxQRBYKIoMlEUmSAILCsriz377LNhq63Wcxe1rjdpB15bbdAUwjDFYDCgvr4eAJCamgqdTkfapB122mpFzeutlD7FTXET/ofWm1ADZWVlqK6uBiC1uQ0aNEgV2mo9d1HrepN24LXVAnlghSk6nQ5ZWVnYvHkzenp6SJu0w1Kb88wzz6CpqUk12mpeb6X0KW6KWwmU2rcppUvrra71VlpfKd1BgwZhxowZMJvNyM7OVo22Ws9d1LrepB14bdWgdAkY4V/i4uLY6dOnSZu0SZu0w0ZbSX2KWxkobnXoKq1PcSsDxU3apE3apE14ClVghTlMwQ5R0iZt0ibtcNOnuJWB4laHrtL6FLcyUNykTdqkTdqEp1ACiyAIgiAIgiAIgiAIgghqtEq/AMK/rF+/Hjk5OarUVqrvWGltNa53UVGRYu+5ktpqXW+ur8T7ruT3m+sr8b7TeitDUVGRIu+7UroctX7O1breSh1HlTx+A8DLL7+MjIwM1Wmr9dxFretN2oSvoSmEKqCmpgaMMWRmZoa9tslkQn19PURRRFpaWkA0g0G7ubnZbuJFQkKCKrQJdcMYg9lshkajUYUuZ9WqVbjuuusC/l1TSlfNlJSUoLy8HAUFBRg6dGjY66oRk8lkty/ZvXs3zGYzJk6ciIiIiLDTtaW8vBxVVVUQRRGDBw9GSkpKWOva0t3dDQABe6+DRZsg1MTmzZsxffp0REVFKf1Swgs/+msRAaahoYHdcMMNLC8vjy1fvpwZjUZ25513MkEQmCiKbMaMGayysjLstBlj7LPPPmNz5sxhERERTBRFJooiS0hIYLfeeis7e/as33SV1n711VfZqFGjZF3+b9SoUey1114LW21XHDx4kImiGJban3/+ObvzzjvZgw8+yI4fP263rbGxkV166aVhqW0wGNijjz7K5s6dyx5//HHGGGN//vOfWXR0NNPr9WzZsmWsu7s7bHTdodPpWFFRUdjq7tq1ixmNRvnnTz/9lM2dO5dlZ2ezyZMnszfffDOsdDl//OMf2ddff80Yk75T8+fPZ4IgyMfRK6+8kl24cCFsdDmxsbHsjjvuYNu2bfObRjDpcs6cOcMmT57MNBoNu/LKK1lzczNbsGCB/N4PHjyYnThxImx0bVmxYgXLz8/vc/4wa9Ystnfv3rDT5Xz55Zds0aJFLDExUdZOTExkixYtYl999VXYaruiqKiIDRo0KCy1Dx48yH7/+9+zFStWsLq6Orttzc3N7Pbbbw9L7VdffZUtW7aMvf7664wxxtauXctGjhzJBg0aJJ9LhaO2I5Q6Xwt3KIEVRtxxxx1szJgx7J///CebN28eu+aaa9i4cePY1q1b2fbt29nUqVPZsmXLwk579erVLC4ujv3qV79ijz76KMvMzGQPP/wwW7lyJZs3bx5LTU1lJ0+eDDttfiH98MMPs02bNrGioiJWVFTENm3axB555BEWExPDnnvuubDTdsfBgweZIAhhp/32228zjUbDFi9ezGbPns0iIyPZmjVr5O3V1dV+S54pqc0YY7/97W9ZRkYG++Uvf8lGjx7Nli9fznJzc9maNWvYm2++yXJyctizzz4bNrqcpKQkh/8EQWAJCQnyz+GiyxFFkdXU1DDGGPvkk0+YKIps2bJlbMWKFeyuu+5iWq2WffTRR2Gjy8nNzWX79+9njDF21113sYkTJ7L9+/ezzs5OdvDgQXbxxRezO++8M2x0OYIgsIsuuogJgsBGjhzJ/vKXv7Da2lq/6Smty7nhhhvYvHnz2KeffspuuukmNmvWLHbJJZewc+fOscrKSrZw4UJ27bXXho0u57nnnmPZ2dnsn//8p3wj7KmnnmLr169nP/rRj1h0dDTbs2dP2OhyVq1axbRaLbv55pvZG2+8wdatW8fWrVvH3njjDfbDH/6Q6XQ6tnr16rDTdke43nTcsGED0+v17KKLLmL5+fksJSWFffPNN/J2f543Kan9t7/9jcXExLDrr7+eZWVlsT/84Q8sJSWF/eEPf2BPPvkki4+PZy+//HLYaU+cONHhP0EQ2KhRo+SfCd9ACawwIisrS76TWF1dzQRBYF9++aW8fevWrSwnJyfstEeOHMnWrl0r/7xnzx6Wm5vLzGYzY4yxJUuWsOuuuy7stPPz89l7773ndPvatWtZXl5e2Glfd911Lv9ddtllfjswK6k9YcIE9ve//13++b333mMxMTFytZs/T0iU1GaMscGDB7NPP/2UMcZYSUkJE0XR7nv33nvvsTFjxoSNLic2NpYtXryYrVq1Sv73xhtvMI1Gw55++mn5d+GiyxEEQU4kzZ49mz388MN2259++ml28cUXh40uJyIigp05c4YxxlhhYSH79ttv7bbv3buXZWVlhY0uh7/vBw8eZPfffz9LTk5mer2eXX/99WzdunXy8TRcdDlpaWnswIEDjDHGmpqamCAI7LvvvpO379u3j2VkZISNLqewsJCtW7dO/vnEiRMsJSWFGQwGxhhjP//5z9nll18eNrqcYcOGsRdffNHp9hUrVrChQ4eGnfYDDzzg8t+tt97qt/MHJbVnzJjB/u///o8xxpjZbGbPPvssi42NZevXr2eM+fe8SUntkSNHsrfffpsxxtj+/fuZVqu168p47bXX2OTJk8NOW6vVsiuvvJL97ne/k/898cQTTBRFdt9998m/I3wDJbDCiOjoaPkklDGpbPHIkSPyz6WlpSwmJibstKOiolhZWZnd77RaLTt//jxjTGoLSUxMDDvtyMhIl2Wpx44dY1FRUWGnrdVq2aJFi9htt93m8N/3v/99vx2YldSOiYlhpaWldr/75ptvWGxsLFu5cqVfT0iU1GZM+ryVl5fb/WzbxlhaWsri4uLCRpdTUlIiV6+2trbKv9dqtezYsWNhp8uxTSSlp6f3ae0pLi72y35VKV3O8OHD2WeffcYYY2zQoEF9WtsOHDjA4uPjw0aXY/u+M8ZYV1cXe+edd9j8+fOZKIosNzeXPfbYY2Gjy4mLi5P3qyaTiWm1Wnbw4EF5e0lJiV/2L0rpcqKjo+3Om8xmM9NqtbLNxMGDB1lsbGzY6HIiIiJYcXGx0+3FxcUsMjIy7LRFUWSTJk1il1xyicN/U6ZM8dv5g5La8fHx7NSpU3a/e/vtt1lMTAz79NNP/XrepKR2VFSUnX1KREQEO3r0qPxzSUmJX6/JlNLeunUrGzJkCHv88ceZyWSSfx+o8ya1QQmsMGL8+PHyHZZ169axuLg49vzzz8vbV65c6bdqASW1R40axT744AP553379jG9Xi97mZSUlPgteaak9pw5c9iyZcvku4e2GI1GtmzZMjZ37tyw0x47dqxLj60DBw747cCspHZWVhbbsWNHn99v3ryZxcbGskcffTQstRljLCMjgx0+fFj+eebMmezcuXPyz8ePH/fLBbZSurYYDAb20EMPsSFDhrCtW7cyxgJzQqSULmNSYmHTpk3s0KFDrKCggO3evdtue3FxsV8uNJXS5Tz33HNs1KhRrKSkhD3//PNsxowZ8kVIaWkpu+SSS9gPfvCDsNHl2LZu9qasrIz99re/9UtFr1K6nIsvvpj99re/ZYwx9vrrr7OMjAy7qr+nnnrKL9UCSulyJkyYwF555RX5540bN7Lo6Gi54q24uNgvCTSldDmTJk1iDz74oNPtDz30EJs0aVLYaQ8fPpy99dZbTrf787xJSe20tDSHvmrvvvsui46OZitXrgxL7ZSUFLsb3Lm5uXYFDiUlJX47jiqpzZhU0XrzzTez6dOny8dQSmD5B0pghRFr1qxhGo2GDR06lEVERLAPPviAZWdns5tuuondfPPNTK/XuywhDlXtF198kSUkJLCHHnqIPf744yw7O9vOr2PNmjV+6ztWUvvQoUMsMzOTpaSksOuuu44tX76cLV++nF133XUsJSWFZWVl2VXBhYv2bbfdxu677z6n24uKilhhYWHYaV9zzTVODSg3bdrEYmJi/HZCoqQ2Y4xdeumlLlvW3n//fb9ccCml64iNGzey/Px89sgjjzCdThewEyIldLl5ODeV/tvf/ma3/d1332WjR48OG11bfvaznzGdTsdGjhzJIiMjmSiKTK/XM1EU2ZQpU1hVVVVY6TLWtxLKEf5o51NKl/PFF1+wyMhIptfrWWRkJPv222/Z8OHD2bRp09jFF1/MNBqNy1b9UNPlvPfee0yn07GbbrqJLVu2jMXGxtol0F566SU2Y8aMsNHl8GPl2LFj2QMPPMCeeeYZ9swzz7AHHniAjRs3jsXGxvZp3w0H7aVLl7Jf/OIXTrf70ztUSe3LL7/cqRfsO++8w3Q6nd/Om5TUnjVrlp3VQm8+/fRTvxU0KKlty+uvv84yMzPZyy+/HNDzNTUhMMaY0pMQCd+xbds27Ny5EzNmzMDMmTNRVFSEZ555Bh0dHfje976HH//4x2GpvXLlSqxZswbd3d1YuHAhHnvsMURGRgKQxoGbTCaMHDky7LRbW1uxZs0a7Ny5E9XV1QCAzMxMzJgxA0uXLkV8fLxfdJXU7u7uhslkQnR0tF+eP1i1v/32W2zfvh2PPPKIw+2bNm3C6tWr8cYbb4SVNgCcPHkSOp0OgwYNcrj9nXfegVarxU033RQWus5oaGjA3XffjU2bNmHnzp0YMWJEWOqePXvW7ufY2Fi7MferV68GACxbtiwsdHtz/PhxfPbZZygtLYXZbEZWVhZmzZqFBQsWQBCEsNN98skn8eCDDwZ8v6qUri1nzpzBvn37MHnyZBQWFqKmpgYrVqxAR0cHFi9ejEsvvTSsdDnr16+3O2+6++675W0NDQ0AYPfdC3VdzpkzZ7By5UqH503Lly9HYWFh2GlXV1eju7sbBQUFfnn+YNX+73//iy1btuBvf/ubw+3vvPMOXn31VWzatCmstLdt24aYmBhMmDDB4fZ//etfMJvNuP/++8NKuzclJSW45ZZbsHfvXhw9ehSjR4/2u6aaoAQWQRAEQRAEQRAEQRCEDzCbzWhtbUV8fLxfbwKpEVHpF0D4HqPRiEOHDmHDhg3YsGEDDh06BIPBQNphqu0Mg8GA8vJy1WkbjUbSVpG2kvoUtzKoNW6l9qtK7s8B9a43xa0OXYIgwhNRFJGQkEDJK3+gbAcj4UtMJhN79NFHWWJiouzhwf8lJiay3/72t3aTEUg7tLXdcfDgQb/6EpE2aQeDtpL6FLcyUNzq0FVan+JWhnCOe8WKFWz+/PnsxhtvZF9//bXdtrq6OjZo0CDSJm3SJm3CDVSBFUY8/PDDeOWVV/DMM8+gtLQU7e3taG9vR2lpKZ599lm88sorTj1sSDv0tAmCIAiCIIjg5x//+AcefPBBjBw5EhEREbjqqqvwpz/9Sd5uMpn6+PCRNmmTNmkTfdEq/QII37F69Wq89dZbWLhwod3vCwsLcc8996CgoADLli3Ds88+S9phoD1p0iSX2zs7O32uSdqkHWhtJfUp7sDqKq1PcQdWV2l9ijuwukrrKx33yy+/jFdffRVLly4FANx777249tpr0dnZiaeeeoq0SZu0SZvwEEpghRGtra3Izs52uj0rKwvt7e2kHSbaRUVFuPnmm51OSKuqqsLJkydJm7RDWltJfYqb4g6ErtL6FDfFHQhdpfWVjrusrAwzZ86Uf545cya++eYbLFiwAAaDAb/4xS9Im7RJm7QJT1C6h5HwHVdddRW74oorWF1dXZ9tdXV17Morr2SLFy8m7TDRnjx5MvvXv/7ldPuBAwf85udA2qQdKG0l9SnuwOoqrU9xB1ZXaX2KO7C6SusrHXdeXh7bsmVLn98fO3aMZWRksGXLlvlNn7RJm7TDV1uNkAdWGPHSSy+hsrISWVlZmDRpEhYtWoRFixZh0qRJyMrKQmVlJVauXEnaYaI9a9YsnDhxwun2uLg4zJ07l7RJO6S1ldSnuAOrq7Q+xR1YXaX1Ke7A6iqtr3Tcs2fPxkcffdTn96NHj8bGjRuxfv160iZt0iZtwgMExhhT+kUQvsNsNmPDhg3YuXMnqqurAQCZmZmYMWMGrrjiCoii/3KWpB14bYIgCIIgCCK4OXz4MPbt24fbb7/d4fajR4/iww8/xBNPPEHapE3apE24gBJYBEEQBEEQBEEQBEEQRFBDJu5hyO7du7Fjxw67aqCZM2di6tSppK0S7RkzZmDatGmkTdpho62kPsVNcVPc/ofiprgpbtImbdImbcItylpwEb6kpqaGzZ49mwmCwAoKCti0adPYtGnTWEFBARMEgc2ePZvV1NSQNmmTNmmHjLaS+hQ3xU1xU9z+guJWX9yzZs1S7BhO2qRN2uGprUYogRVG3HDDDWzGjBmsuLi4z7bi4mI2c+ZM9oMf/IC0SZu0STtktJXUp7gp7kDoKq1PcVPcgdBVWl+tcZM2aZN2eGurEUpghRGxsbFs//79Trfv3buXxcbGkjZpkzZph4y2kvoUd2B1ldanuAOrq7Q+xR1YXaX11Ro3aZM2aYe3thqh8WhhREREBFpaWpxub21tRUREBGmTNmmTdshoK6lPcQdWV2l9ijuwukrrU9yB1VVaX61xkzZpk3Z4a6sSpTNohO+47777WEFBAfvoo49Yc3Oz/Pvm5mb20UcfscLCQnb//feTNmmTNmmHjLaS+hQ3xR0IXaX1KW6KOxC6SuurNW7SJm3SDm9tNUIJrDCiq6uLLV++nOn1eiaKIouMjGSRkZFMFEWm1+vZvffey7q6ukibtEmbtENGW0l9ipviprgpbn9BcVPcajiGkzZpk7b/9y9qQ2CMMaWrwAjf0tLSgn379tmN8Jw8eTLi4+NJm7RJm7RDUltJfYqb4qa4/Q/FTXFT3KRN2qRN2oQ7KIFFEARBEARBEARBEARBBDVk4h5mdHZ2YuvWrSgqKuqzraurC6tXryZt0iZt0g4pbSX1KW6KOxC6SutT3BR3IHSV1ldr3KRN2qQd3tqqQ9kORsKXnDhxghUUFDBBEJgoimzu3Lns/Pnz8vbq6momiiJpkzZpk3bIaCupT3FT3BQ3xe0vKG6KWw3HcNImbdL2//5FbVAFVhjxm9/8BmPGjEFtbS1OnDiBuLg4zJ49G+Xl5aRN2qRN2iGpraQ+xU1xU9z+h+KmuClu0iZt0iZtwmOUzqARviM9PZ0dPnxY/tlsNrPly5ez/Px8dvr0ab9mf0mbtEmbtP2FUvoUd2B1ldanuAOrq7Q+xR1YXaX11Ro3aZM2aYe3thqhBFYYERcXx4qKivr8/qc//SnLzc1lW7Zs8duXh7RJm7RJ218opU9xB1ZXaX2KO7C6SutT3IHVVVpfrXGTNmmTdnhrqxFKYIURU6dOZatXr3a47ac//SlLTEz025eHtEmbtEnbXyilT3EHVldpfYo7sLpK61PcgdVVWl+tcZM2aZN2eGurEUpghRF//OMf2aJFi5xuv/fee5kgCKRN2qRN2iGjraQ+xR1YXaX1Ke7A6iqtT3EHVldpfbXGTdqkTdrhra1GBMYYU9qHiyAIgiAIgiAIgiAIgiCcQVMICYIgCIIgCIIgCIIgiKCGElgEQRAEQRAEQRAEQRBEUEMJLIIgCIIgCIIgCIIgCCKooQQWQRAEQRAEQRAEQRAEEdRQAosgCIIgCEKFCIKAjz/+WOmXQRAEQRAE4RGUwCIIgiAIggggt912GwRBwPLly/ts++lPfwpBEHDbbbf5TO93v/sdJkyY4LPnIwiCIAiCUAJKYBEEQRAEQQSYvLw8rF27Fp2dnfLvurq68M477yA/P1/BV0YQBEEQBBGcUAKLIAiCIAgiwEyaNAl5eXn46KOP5N999NFHyM/Px8SJE+XfdXd34+c//znS09MRGRmJ2bNnY8+ePfL2zZs3QxAEbNy4EVOmTEF0dDRmzpyJEydOAABWrVqFJ598EocOHYIgCBAEAatWrZL/vr6+Htdddx2io6MxbNgwfPLJJ/4PniAIgiAIoh9QAosgCIIgCEIB7rjjDrzxxhvyz6+//jpuv/12u8c89NBD+PDDD/Hmm29i//79GDp0KBYuXIjGxka7xz366KN4/vnnsXfvXmi1Wtxxxx0AgCVLluBXv/oVLrroIlRVVaGqqgpLliyR/+7JJ5/ETTfdhMOHD+Oqq67CLbfc0ue5CYIgCIIgggFKYBEEQRAEQSjArbfeiq1bt+Ls2bM4e/Ystm3bhltvvVXe3t7ejpUrV+K5557DokWLMHr0aLz66quIiorCv//9b7vnevrppzFv3jyMHj0aDz/8MLZv346uri5ERUUhNjYWWq0WmZmZyMzMRFRUlPx3t912G374wx9i6NCh+OMf/4i2tjbs3r07YO8BQRAEQRCEp2iVfgEEQRAEQRBqJC0tDYsXL8aqVavAGMPixYuRmpoqbz99+jQMBgNmzZol/06n02HatGk4fvy43XONGzdO/v+srCwAQG1trVs/Ldu/i4mJQXx8PGprawcUF0EQBEEQhD+gBBZBEARBEIRC3HHHHbj//vsBACtWrOj38+h0Ovn/BUEAAJjNZq/+jv+tJ39HEARBEAQRaKiFkCAIgiAIQiGuvPJK9PT0wGAwYOHChXbbhgwZAr1ej23btsm/MxgM2LNnD0aPHu2xhl6vh8lk8tlrJgiCIAiCUAKqwCIIgiAIglAIjUYjtwNqNBq7bTExMbj33nvx4IMPIjk5Gfn5+fjzn/+Mjo4O3HnnnR5rFBYWoqysDAcPHkRubi7i4uIQERHh0zgIgiAIgiD8DSWwCIIgCIIgFCQ+Pt7ptmeeeQZmsxk/+tGP0NraiilTpmDDhg1ISkry+PlvuOEGfPTRR7j00kvR1NSEN954A7fddpsPXjlBEARBEETgEBhjTOkXQRAEQRAEQRAEQRAEQRDOIA8sgiAIgiAIgiAIgiAIIqihBBZBEARBEARBEARBEAQR1FACiyAIgiAIgiAIgiAIgghqKIFFEARBEARBEARBEARBBDWUwCIIgiAIgiAIgiAIgiCCGkpgEQRBEARBEARBEARBEEENJbAIgiAIgiAIgiAIgiCIoIYSWARBEARBEARBEARBEERQQwksgiAIgiAIgiAIgiAIIqihBBZBEARBEARBEARBEAQR1FACiyAIgiAIgiAIgiAIgghqKIFFEARBEARBEARBEARBBDWUwCIIgiAIgiAIgiAIgiCCGkpgEQRBEARBEARBEARBEEENJbAIgiAIgiAIgiAIgiCIoIYSWARBEARBEARBEARBEERQQwksgiAIgiAIgiAIgiAIIqj5/90qutz0e5gYAAAAAElFTkSuQmCC"','image','{"params": {"country_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx"}','Recipe Manager','matt','matt','2024-06-13 22:22:13.38238','approved','matt','2024-06-13 22:22:13.38238+00','',''), + ('4aa67e6e-deea-4fb0-aa31-7357b923c057',' import sys import os import requests @@ -1542,238 +1179,27 @@ def generate_ipc_population_map(country, ipc_level): "metadata": { "params": { "country": f"{country}", - "ipc_level": f"{ipc_level}" - }, - "attribution": f"{attribution}", - "data_url": f"{data_url}", - "time_period": { - "start": f"{start_period}", - "end": f"{end_period}" - } - } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - -', 'plot a map of IPC phase data by admin_1 using HDX data as an image', '{}', '{HAPI}', NULL, NULL, ' country = "Chad" # Example country name - ipc_level = "3" # Example IPC level - result = generate_ipc_population_map(country, ipc_level) - - -', '"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"', 'image', '{"params": {"country": "Chad", "ipc_level": "3"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('577cf9fd-c7c0-4ce3-8554-a1b8d94ae79c', ' -import sys -import os -import requests -import pandas as pd -from skills import * - - -# filename: plot_food_price_vs_fatalities.py - -import os -import pandas as pd -import matplotlib.pyplot as plt -from dotenv import load_dotenv -import json -import seaborn as sns -from skills import get_connection, execute_query, get_hdx_dataset_url - -# Load environment variables -load_dotenv() - - -def get_fatalities_data(country_code): - """ - Fetch fatalities data by month for a given country. - - Args: - country_code (str): ISO3 country code. - - Returns: - pd.DataFrame: DataFrame containing fatalities data. - """ - query = f""" - SELECT - reference_period_start, - SUM(fatalities) as total_fatalities - FROM - hapi_coordination_context_conflict_event - WHERE - adm0_code = ''{country_code}'' - AND reference_period_start >= ''2008-01-01'' - GROUP BY - reference_period_start - ORDER BY - reference_period_start - """ - data = execute_query(query) - if not data: - raise ValueError(''No data found for the given country code.'') - df = pd.DataFrame(data, columns=[''reference_period_start'', ''total_fatalities'']) - return df - - -def get_commodity_prices(country_code, start_date): - """ - Fetch commodity prices data for a given country starting from a specific date. - - Args: - country_code (str): ISO3 country code. - start_date (str): Start date in ''YYYY-MM-DD'' format. - - Returns: - pd.DataFrame: DataFrame containing commodity prices data. - """ - query = f""" - SELECT - reference_period_start, - commodity_name, - price - FROM - hapi_food_food_price - WHERE - adm0_code = ''{country_code}'' - AND reference_period_start >= ''{start_date}'' - """ - data = execute_query(query) - if not data: - raise ValueError(''No data found for the given country code and date range.'') - df = pd.DataFrame(data, columns=[''reference_period_start'', ''commodity_name'', ''price'']) - return df - - -def calculate_relative_average_monthly_movement(df): - """ - Calculate the relative average monthly price movement of all commodities. - - Args: - df (pd.DataFrame): DataFrame containing commodity prices data. - - Returns: - pd.DataFrame: DataFrame containing average monthly price changes. - """ - df[''reference_period_start''] = pd.to_datetime(df[''reference_period_start'']) - df[''month_year''] = df[''reference_period_start''].dt.to_period(''M'') - df[''price_change''] = df.groupby(''commodity_name'')[''price''].pct_change() * 100 - monthly_avg_change = df.groupby(''month_year'')[''price_change''].mean().reset_index() - return monthly_avg_change - - -def plot_price_vs_fatalities(country_code, start_date, output_path=''./work/price_vs_fatalities.png''): - """ - Create and save a scatterplot showing price movements and fatality rates. - - Args: - country_code (str): ISO3 country code. - start_date (str): Start date in ''YYYY-MM-DD'' format. - output_path (str): Path to save the output image. - - Returns: - str: Path to the saved image. - """ - fatalities_df = get_fatalities_data(country_code) - prices_df = get_commodity_prices(country_code, start_date) - monthly_avg_change = calculate_relative_average_monthly_movement(prices_df) - - fatalities_df[''reference_period_start''] = pd.to_datetime(fatalities_df[''reference_period_start'']) - fatalities_df[''month_year''] = fatalities_df[''reference_period_start''].dt.to_period(''M'') - monthly_fatalities = fatalities_df.groupby(''month_year'')[''total_fatalities''].sum().reset_index() - - combined_df = pd.merge(monthly_avg_change, monthly_fatalities, on=''month_year'', how=''inner'') - - # TODO remove outliers - combined_df = combined_df[combined_df[''total_fatalities''] < 100] - - plt.figure(figsize=(10, 6)) - sns.regplot(x=''total_fatalities'', y=''price_change'', data=combined_df, scatter_kws={''alpha'':0.5}, line_kws={"color": "blue"}) - plt.title(''Scatterplot of price movements of food items vs. fatality rates'') - plt.ylabel(''Average monthly price change of food items (%)'') - plt.xlabel(''Total fatalities'') - plt.grid(True) - plt.savefig(output_path) - return output_path - - -def get_attribution(country_code): - """ - Get the attribution URL for a given country. - - Args: - country_code (str): ISO3 country code. - - Returns: - dict: Dictionary containing attribution and data URLs. - """ - query = f""" - SELECT DISTINCT resource_hdx_id - FROM hapi_coordination_context_conflict_event - WHERE adm0_code = ''{country_code}'' - """ - data = execute_query(query) - if not data: - raise ValueError(''No attribution data found for the given country code.'') - resource_id = data[0][0] - hdx_url, data_url = get_hdx_dataset_url(resource_id) - return {''hdx_url'': hdx_url, ''data_url'': data_url} - - -def generate_price_vs_fatalities_report(country_code, start_date): - """ - Generate a report of price movements vs fatalities for a given country. - - Args: - country_code (str): ISO3 country code. - start_date (str): Start date in ''YYYY-MM-DD'' format. - - Returns: - dict: JSON object containing the report. - """ - try: - image_path = plot_price_vs_fatalities(country_code, start_date) - attribution = get_attribution(country_code) - result = { - "result": { - "type": "image", - "file": image_path, - "value": "" - }, - "metadata": { - "params": { - "country_code": country_code, - "start_date": start_date - }, - "attribution": attribution["hdx_url"], - "data_url": attribution["data_url"], - "time_period": { - "start": f"{start_date}", - "end": "" - } - } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - except Exception as e: - print(f''Error: {e}'') - return {''error'': str(e)} - -', 'plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image', '{}', '{HAPI}', NULL, NULL, ' country_code = ''TCD'' # Example country code - start_date = ''2008-01-01'' # Example start date - generate_price_vs_fatalities_report(country_code, start_date) - + "ipc_level": f"{ipc_level}" + }, + "attribution": f"{attribution}", + "data_url": f"{data_url}", + "time_period": { + "start": f"{start_period}", + "end": f"{end_period}" + } + } + } + print("OUTPUT:") + print(json.dumps(result, indent=4)) + return result -', '"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"', 'image', '{"params": {"country_code": "TCD", "start_date": "2008-01-01"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx", "time_period": {"start": "2008-01-01", "end": ""}}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('083b0a35-72c9-4670-bde1-1db31847a87b', ' -import sys -import os -import requests -import pandas as pd -from skills import * +','plot a map of IPC phase data by admin_1 using HDX data as an image','{}','{HAPI}',NULL,NULL,' country = "Chad" # Example country name + ipc_level = "3" # Example IPC level + result = generate_ipc_population_map(country, ipc_level) -# filename: plot_population_by_admin.py +','"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"','image','{"params": {"country": "Chad", "ipc_level": "3"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}','Recipe Manager','matt','matt','2024-06-13 22:22:13.38238','approved','matt','2024-06-13 22:22:13.38238+00','',''), + ('85c023b7-e2ec-44b6-ba7f-624a11be27c4','# filename: plot_population_by_admin.py import os import json @@ -1835,13 +1261,12 @@ def get_attribution_and_time_period(adm0_code): :param adm0_code: ISO3 country code :return: Tuple containing attribution URL, data URL, start period, and end period """ - sql = f'''''' + sql = '''''' SELECT DISTINCT resource_hdx_id, reference_period_start, reference_period_end FROM hapi_population_social_population WHERE adm0_code = %s AND latest = TRUE AND gender = ''all'' AND age_range = ''all'' - AND adm2_code IS NOT NULL AND adm1_code IS NOT NULL '''''' rows = get_data_from_db(sql, [adm0_code]) @@ -1850,7 +1275,7 @@ def get_attribution_and_time_period(adm0_code): resource_hdx_id = rows[0][0] start_period = rows[0][1] end_period = rows[0][2] - sql = f''SELECT hdx_link, download_url FROM hapi_metadata_resource WHERE hdx_id = %s'' + sql = ''SELECT hdx_link, download_url FROM hapi_metadata_resource WHERE hdx_id = %s'' resource_rows = get_data_from_db(sql, [resource_hdx_id]) if not resource_rows: return None, None, start_period, end_period @@ -1881,8 +1306,7 @@ def generate_population_map(adm0_code, admin_level): WHERE p.adm0_code = %s AND p.latest = TRUE AND gender = ''all'' AND age_range = ''all'' - AND p.adm2_code IS NOT NULL - AND p.adm1_code IS NOT NULL + AND p.{admin_code_col} IS NOT NULL '''''' print(''DEBUG INFO - SQL Executed:'', sql) @@ -1890,492 +1314,132 @@ def generate_population_map(adm0_code, admin_level): print(''DEBUG INFO - Length of data is:'', len(rows)) if len(rows) == 0: - return json.dumps({''error'': ''No data found for the given country code.''}) - - # Convert the data into a DataFrame - df = pd.DataFrame(rows, columns=[admin_code_col, ''population'', ''geometry'']) - - # Convert the population to millions - df[''population''] = df[''population''] / 1_000_000 - - # Convert the ''geometry'' column into a GeoSeries - df[''geometry''] = df[''geometry''].apply(lambda x: wkb.loads(x, hex=True)) - - # Convert the DataFrame into a GeoDataFrame - gdf = gpd.GeoDataFrame(df, geometry=''geometry'') - - # Plot the map - fig, ax = plt.subplots(1, 1, figsize=(12, 10)) - map = gdf.plot(column=''population'', ax=ax, legend=True, cmap=''OrRd'') - - # Get the colorbar - colorbar = map.get_figure().get_axes()[1] - - # Set the label for the colorbar - colorbar.set_ylabel(''Population (in millions)'') - - ax.set_title(title) - ax.axis(''off'') - - # Save to file - file_path = f''./work/population_map_{adm0_code}_{admin_level}.png'' - plt.savefig(file_path, bbox_inches=''tight'') - plt.close() - - # Get attribution and time period - attribution_url, data_url, start_period, end_period = get_attribution_and_time_period(adm0_code) - - result = { - "result": { - "type": "image", - "file": f"{file_path}", - "value": "" - }, - "metadata": { - "params": { - "adm0_code": f"{adm0_code}", - "admin_level": f"{admin_level}" - }, - "attribution": f"{attribution_url}", - "data_url": f"{data_url}", - "time_period": { - "start": f"{start_period}", - "end": f"{end_period}" - } - } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - -', 'plot a map of population by admin1 or admin2 for a country using HAPI data as an image', '{}', '{HAPI}', NULL, NULL, ' params = {''adm0_code'': ''HTI'', ''admin_level'': ''admin1''} - result = generate_population_map(**params) - - -', '"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"', 'image', '{"params": {"adm0_code": "HTI", "admin_level": "admin1"}, "attribution": "https://data.humdata.org/dataset/95ba5281-fd76-4d3a-ae29-247e1ff26447/resource/9221c325-b8ea-46fc-bcac-d3e183078581", "data_url": "https://data.humdata.org/dataset/95ba5281-fd76-4d3a-ae29-247e1ff26447/resource/9221c325-b8ea-46fc-bcac-d3e183078581/download/hti_admpop_adm2_2022.csv", "time_period": {"start": "2022-01-01", "end": "2022-12-31T23:59:59"}}', 'Recipe Manager', 'matt', 'matt', '2024-06-13 22:22:13.382380', 'approved', 'matt', '2024-06-13 22:22:13.38238+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('e574d89f-98d9-4ee0-a279-6bed160c6fc7', ' -import sys -import os -import requests -import pandas as pd -from skills import * - - -# filename: plot_events_by_month.py - -import os -import pandas as pd -import matplotlib.pyplot as plt -from dotenv import load_dotenv -import json -from skills import get_connection, execute_query, get_hdx_dataset_url - -# Load environment variables -load_dotenv() - - -def get_events_data(country_code): - """ - Fetch events data by month for a given country. - - Args: - country_code (str): ISO3 country code. - - Returns: - pd.DataFrame: DataFrame containing events data. - """ - query = f""" - SELECT - reference_period_start, - SUM(events) as total_events - FROM - hapi_coordination_context_conflict_event - WHERE - adm0_code = ''{country_code}'' - AND reference_period_start >= ''2008-01-01'' - GROUP BY - reference_period_start - ORDER BY - reference_period_start - """ - data = execute_query(query) - if not data: - raise ValueError(''No data found for the given country code.'') - df = pd.DataFrame(data, columns=[''reference_period_start'', ''total_events'']) - return df - - -def plot_events_by_month(country_code, output_path=''./work/events_by_month.png''): - """ - Plot a line chart of events by month for a given country. - - Args: - country_code (str): ISO3 country code. - output_path (str): Path to save the output image. - - Returns: - str: Path to the saved image. - """ - df = get_events_data(country_code) - - # Convert reference_period_start to datetime - df[''reference_period_start''] = pd.to_datetime(df[''reference_period_start'']) - - # Format the x-axis labels to show only yyyy-mm - df[''reference_period_start''] = df[''reference_period_start''].dt.to_period(''M'').dt.to_timestamp() - - # Plotting - plt.figure(figsize=(12, 8)) - plt.plot(df[''reference_period_start''], df[''total_events''], linestyle=''-'') - plt.title(f''events by Month for {country_code}'') - plt.xlabel(''Month'') - plt.ylabel(''Total events'') - plt.grid(True, which=''both'', axis=''both'') - plt.xticks(pd.date_range(start=''2008-01-01'', end=df[''reference_period_start''].max(), freq=''6M'').to_period(''M'').to_timestamp(), rotation=90) - plt.tight_layout(rect=[0, 0, 1, 1]) # Adjust layout to shift x-axis labels - plt.savefig(output_path) - plt.close() - - return output_path - - -def get_attribution(country_code): - """ - Get the attribution URL for a given country. - - Args: - country_code (str): ISO3 country code. - - Returns: - dict: Dictionary containing attribution and data URLs. - """ - query = f""" - SELECT DISTINCT resource_hdx_id - FROM hapi_coordination_context_conflict_event - WHERE adm0_code = ''{country_code}'' - """ - data = execute_query(query) - if not data: - raise ValueError(''No attribution data found for the given country code.'') - resource_id = data[0][0] - hdx_url, data_url = get_hdx_dataset_url(resource_id) - return {''hdx_url'': hdx_url, ''data_url'': data_url} - - -def generate_events_report(country_code): - """ - Generate a report of events by month for a given country. - - Args: - country_code (str): ISO3 country code. - - Returns: - dict: JSON object containing the report. - """ - try: - image_path = plot_events_by_month(country_code) - attribution = get_attribution(country_code) - result = { - "result": { - "type": "image", - "file": f"{image_path}" - }, - "metadata": { - "params": { - "country_code": f"{country_code}" - }, - "attribution": f"{attribution[''hdx_url'']}", - "data_url": f"{attribution[''data_url'']}" - } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - except Exception as e: - print(f''Error: {e}'') - return {''error'': str(e)} - -', 'plot a line chart of conflict events by month for a country using HDX data as an image', '{}', '{HAPI}', NULL, NULL, ' country_code = ''TCD'' # Example country code - generate_events_report(country_code) - - -', '"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"', 'image', '{"params": {"country_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx"}', 'Recipe Manager', 'matt', 'matt', '2024-06-16 22:48:19.451409', 'approved', 'matt', '2024-06-16 22:48:19.451409+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('af3b596b-08e2-46cb-96a5-e8800cd34efe', '# filename: refugee_migration_sankey.py - -import os -import json -import pandas as pd -import plotly.graph_objects as go -from dotenv import load_dotenv -from skills import get_connection, execute_query - -# Load environment variables -load_dotenv() - -# Function to get refugee migration data - -def get_refugee_migration_data(country_code): - query = f""" - SELECT - origin_location_name, - asylum_location_name, - population - FROM - hapi_affected_people_refugees - WHERE - asylum_location_code = ''{country_code}'' - AND gender = ''all'' - AND age_range = ''all'' - AND latest = TRUE - """ - print(''Executing query:'', query) - data = execute_query(query) - print(''DEBUG INFO - Length of data is:'', len(data)) - return data + return json.dumps({''error'': ''No data found for the given country code.''}) -# Function to create a Sankey plot + # Convert the data into a DataFrame + df = pd.DataFrame(rows, columns=[admin_code_col, ''population'', ''geometry'']) -def create_sankey_plot(data, country_name): - if not data: - print(''No data available to create the plot.'') - return None + # Convert the population to millions + df[''population''] = df[''population''] / 1_000_000 - df = pd.DataFrame(data, columns=[''origin_location_name'', ''asylum_location_name'', ''population'']) + # Convert the ''geometry'' column into a GeoSeries + df[''geometry''] = df[''geometry''].apply(lambda x: wkb.loads(x, hex=True)) - # Create labels - all_locations = list(pd.concat([df[''origin_location_name''], df[''asylum_location_name'']]).unique()) - label_to_index = {label: idx for idx, label in enumerate(all_locations)} + # Convert the DataFrame into a GeoDataFrame + gdf = gpd.GeoDataFrame(df, geometry=''geometry'') - # Create source and target indices - df[''source''] = df[''origin_location_name''].map(label_to_index) - df[''target''] = df[''asylum_location_name''].map(label_to_index) + # Plot the map + fig, ax = plt.subplots(1, 1, figsize=(12, 10)) + map = gdf.plot(column=''population'', ax=ax, legend=True, cmap=''OrRd'') - # Create the Sankey plot - fig = go.Figure(data=[go.Sankey( - node=dict( - pad=15, - thickness=20, - line=dict(color=''black'', width=0.5), - label=all_locations - ), - link=dict( - source=df[''source''], - target=df[''target''], - value=df[''population''] - ) - )]) + # Get the colorbar + colorbar = map.get_figure().get_axes()[1] - fig.update_layout(title_text=f''Refugee Migration to {country_name}'', font_size=10) + # Set the label for the colorbar + colorbar.set_ylabel(''Population (in millions)'') - # Save the plot as a PNG file - file_path = ''./work/refugee_migration_sankey.png'' - fig.write_image(file_path) - return file_path + ax.set_title(title) + ax.axis(''off'') -# Main function to get data and create the plot + # Save to file + file_path = f''./work/population_map_{adm0_code}_{admin_level}.png'' + plt.savefig(file_path, bbox_inches=''tight'') + plt.close() -def generate_refugee_migration_sankey(country_code, country_name): - data = get_refugee_migration_data(country_code) - file_path = create_sankey_plot(data, country_name) - if file_path: - result = { - "result": { - "type": "image", - "file": f"{file_path}" + # Get attribution and time period + attribution_url, data_url, start_period, end_period = get_attribution_and_time_period(adm0_code) + + result = { + ''result'': { + ''type'': ''image'', + ''file'': f''{file_path}'', + ''value'': '''' + }, + ''metadata'': { + ''params'': { + ''adm0_code'': f''{adm0_code}'', + ''admin_level'': f''{admin_level}'' }, - "metadata": { - "params": { - "country_code": f"{country_code}", - "country_name": f"{country_name}" - } + ''attribution'': f''{attribution_url}'', + ''data_url'': f''{data_url}'', + ''time_period'': { + ''start'': f''{start_period}'', + ''end'': f''{end_period}'' } } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - else: - return {''error'': ''Failed to create the Sankey plot.''} -', 'create a sankey plot of refugee migration by country for Kenya using HAPI data as an image', '{}', '{HAPI}', NULL, NULL, ' params = { - ''country_code'': ''KEN'', - ''country_name'': ''Kenya'' } - generate_refugee_migration_sankey(**params) -', '"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"', 'image', '{"params": {"country_code": "KEN", "country_name": "Kenya"}}', 'Recipe Manager', 'matt', 'matt', '2024-06-16 22:48:19.451409', 'approved', 'matt', '2024-06-16 22:48:19.451409+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('df2123ed-60e0-40ef-b515-0131767ffecf', '# filename: refugee_migration_sankey.py + print(''OUTPUT:'') + print(json.dumps(result, indent=4)) + return result + +','plot a map of population by admin1 or admin2 for a country using HAPI data as an image','{}','{HAPI}',NULL,NULL,' params = {''adm0_code'': ''MLI'', ''admin_level'': ''admin1''} + result = generate_population_map(**params) +','"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"','image','{"params": {"adm0_code": "MLI", "admin_level": "admin1"}, "attribution": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/0bd515ae-613c-400f-a84c-ea203cc529be", "data_url": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/0bd515ae-613c-400f-a84c-ea203cc529be/download/mli_pop_adm1_v2.csv", "time_period": {"start": "2018-01-01", "end": "2018-12-31T23:59:59"}}','Recipe Manager','matt','matt','2024-07-11 00:36:42.292537','approved','matt','2024-07-11 00:36:42.292537+00','',''), + ('577cf9fd-c7c0-4ce3-8554-a1b8d94ae79c',' +import sys import os -import json +import requests import pandas as pd -import plotly.graph_objects as go +from skills import * + + +# filename: plot_food_price_vs_fatalities.py + +import os +import pandas as pd +import matplotlib.pyplot as plt from dotenv import load_dotenv +import json +import seaborn as sns from skills import get_connection, execute_query, get_hdx_dataset_url # Load environment variables load_dotenv() -# Function to get refugee migration data - -def get_refugee_migration_data(country_code): - query = f""" - SELECT - origin_location_name, - asylum_location_name, - population - FROM - hapi_affected_people_refugees - WHERE - asylum_location_code = ''{country_code}'' - AND gender = ''all'' - AND age_range = ''all'' - AND latest = TRUE - """ - print(''Executing query:'', query) - data = execute_query(query) - print(''DEBUG INFO - Length of data is:'', len(data)) - return data - -# Function to create a Sankey plot - -def create_sankey_plot(data, country_name): - if not data: - print(''No data available to create the plot.'') - return None - - df = pd.DataFrame(data, columns=[''origin_location_name'', ''asylum_location_name'', ''population'']) - - # Create labels - all_locations = list(pd.concat([df[''origin_location_name''], df[''asylum_location_name'']]).unique()) - label_to_index = {label: idx for idx, label in enumerate(all_locations)} - - # Create source and target indices - df[''source''] = df[''origin_location_name''].map(label_to_index) - df[''target''] = df[''asylum_location_name''].map(label_to_index) - - # Create the Sankey plot - fig = go.Figure(data=[go.Sankey( - node=dict( - pad=15, - thickness=20, - line=dict(color=''black'', width=0.5), - label=all_locations - ), - link=dict( - source=df[''source''], - target=df[''target''], - value=df[''population''] - ) - )]) - - fig.update_layout(title_text=f''Refugee Migration to {country_name}'', font_size=10) - - # Save the plot as a PNG file - file_path = ''./work/refugee_migration_sankey.png'' - fig.write_image(file_path) - return file_path -def get_attribution(country_code): +def get_fatalities_data(country_code): """ - Get the attribution URL for a given country. + Fetch fatalities data by month for a given country. Args: country_code (str): ISO3 country code. Returns: - dict: Dictionary containing attribution and data URLs. + pd.DataFrame: DataFrame containing fatalities data. """ query = f""" - SELECT DISTINCT resource_hdx_id - FROM - hapi_affected_people_refugees - WHERE - asylum_location_code = ''{country_code}'' - AND gender = ''all'' - AND age_range = ''all'' - AND latest = TRUE - """ - data = execute_query(query) - if not data: - raise ValueError(''No attribution data found for the given country code.'') - resource_id = data[0][0] - hdx_url, data_url = get_hdx_dataset_url(resource_id) - return {''hdx_url'': hdx_url, ''data_url'': data_url} - -def get_date_range(country_code): - query = f'''''' - SELECT MIN(reference_period_start) as start_date, MAX(reference_period_end) as end_date + SELECT + reference_period_start, + SUM(fatalities) as total_fatalities FROM - hapi_affected_people_refugees + hapi_coordination_context_conflict_event WHERE - asylum_location_code = ''{country_code}'' - AND gender = ''all'' - AND age_range = ''all'' - AND latest = TRUE - '''''' - data = execute_query(query) - if not data: - print(''No date range found for given parameters.'') - return None - return data[0] - -# Main function to get data and create the plot - -def generate_refugee_migration_sankey(country_code, country_name): - data = get_refugee_migration_data(country_code) - file_path = create_sankey_plot(data, country_name) - attribution, data_url = get_attribution(country_code) - date_range = get_date_range(country_code) - if file_path: - result = { - "result": { - "type": "image", - "file": f"{file_path}" - }, - "metadata": { - "params": { - "country_code": f"{country_code}", - "country_name": f"{country_name}" - }, - "attribution": f"{attribution}", - "data_url": f"{data_url}", - "time_period": { - "start": f"{date_range[0]}", - "end": f"{date_range[1]}" - } - } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - else: - return {''error'': ''Failed to create the Sankey plot.''} -', 'create a sankey plot of refugee migration by country for Kenya using HAPI data as an image', '{}', '{HAPI}', NULL, NULL, ' params = { - ''country_code'': ''KEN'', - ''country_name'': ''Kenya'' - } - generate_refugee_migration_sankey(**params) -', '"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"', 'image', '{"params": {"country_code": "KEN", "country_name": "Kenya"}, "attribution": "hdx_url", "data_url": "data_url", "time_period": {"start": "2022-01-01", "end": "2022-12-31T00:00:00"}}', 'Recipe Manager', 'matt', 'matt', '2024-06-16 22:59:25.385336', 'approved', 'matt', '2024-06-16 22:59:25.385336+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('dd0ddd95-a60d-4670-b250-d479314f6094', ' -import sys -import os -import requests -import pandas as pd -from skills import * - + adm0_code = ''{country_code}'' + AND reference_period_start >= ''2008-01-01'' + GROUP BY + reference_period_start + ORDER BY + reference_period_start + """ + data = execute_query(query) + if not data: + raise ValueError(''No data found for the given country code.'') + df = pd.DataFrame(data, columns=[''reference_period_start'', ''total_fatalities'']) + return df -# filename: plot_commodity_prices.py -import os -import pandas as pd -import matplotlib.pyplot as plt -from dotenv import load_dotenv -from skills import get_connection, execute_query, get_hdx_dataset_url -import json +def get_commodity_prices(country_code, start_date): + """ + Fetch commodity prices data for a given country starting from a specific date. -# Load environment variables -load_dotenv() + Args: + country_code (str): ISO3 country code. + start_date (str): Start date in ''YYYY-MM-DD'' format. -# Function to get commodity prices data -def get_commodity_prices(country_code, start_date): + Returns: + pd.DataFrame: DataFrame containing commodity prices data. + """ query = f""" SELECT reference_period_start, @@ -2388,248 +1452,135 @@ def get_commodity_prices(country_code, start_date): AND reference_period_start >= ''{start_date}'' """ data = execute_query(query) - print(pd.DataFrame(data).head(10)) - print(f"Query returned {len(data)} rows") - return data -# Function to calculate relative average monthly price movement of all commodities + if not data: + raise ValueError(''No data found for the given country code and date range.'') + df = pd.DataFrame(data, columns=[''reference_period_start'', ''commodity_name'', ''price'']) + return df + + def calculate_relative_average_monthly_movement(df): - # Extract month and year for grouping + """ + Calculate the relative average monthly price movement of all commodities. + + Args: + df (pd.DataFrame): DataFrame containing commodity prices data. + + Returns: + pd.DataFrame: DataFrame containing average monthly price changes. + """ df[''reference_period_start''] = pd.to_datetime(df[''reference_period_start'']) df[''month_year''] = df[''reference_period_start''].dt.to_period(''M'') - - # Calculate percentage change for each commodity per month df[''price_change''] = df.groupby(''commodity_name'')[''price''].pct_change() * 100 - - # Calculate the average price change per month across all commodities monthly_avg_change = df.groupby(''month_year'')[''price_change''].mean().reset_index() - return monthly_avg_change -# Adjusted function to plot commodity prices -def plot_commodity_prices(df, country_code): - # Ensure ''month_year'' is converted to datetime for plotting - df[''month_year_datetime''] = df[''month_year''].dt.to_timestamp() - - plt.figure(figsize=(12, 6)) - - # Plotting the data - plt.plot(df[''month_year_datetime''], df[''price_change''], - label=''Monthly Relative Change in Commodity Prices'', - linestyle=''-'', color=''b'') - - # Title and labels - plt.title(f''Monthly Relative Change in Food Prices in {country_code}'') - plt.xlabel(''Date'') - plt.ylabel(''Monthly Relative Change (%)'') - - # Grid settings - plt.grid(True, which=''both'', axis=''both'') - - # Setting x-ticks: generating a 6-month range based on min and max dates - min_date = df[''month_year_datetime''].min() - max_date = df[''month_year_datetime''].max() - six_month_intervals = pd.date_range(start=min_date, end=max_date, freq=''6M'') - - # Convert to string for consistent x-ticks and plot - plt.xticks(six_month_intervals.to_pydatetime(), rotation=90) - - # Layout and legend - plt.tight_layout(rect=[0, 0, 1, 1]) # Adjust layout to shift x-axis labels - plt.legend(loc=''upper left'', bbox_to_anchor=(1, 1)) - - # Saving the plot - output_file = ''./commodity_prices.png'' - plt.savefig(output_file) - plt.close() - - return output_file -# Function to get attribution and data URL -def get_attribution_and_data_url(country_code, start_date): - query = f""" - SELECT DISTINCT resource_hdx_id - FROM hapi_food_food_price - WHERE adm0_code = ''{country_code}'' - AND reference_period_start >= ''{start_date}'' - AND adm1_code IS NULL - AND adm2_code IS NULL +def plot_price_vs_fatalities(country_code, start_date, output_path=''./work/price_vs_fatalities.png''): """ - data = execute_query(query) - if not data: - return None, None - resource_id = data[0][0] - hdx_url, data_url = get_hdx_dataset_url(resource_id) - return hdx_url, data_url - -# Main function to get data and plot -def generate_commodity_price_plot(country_code, start_date): - data = get_commodity_prices(country_code, start_date) - if not data: - print(''No data found for given parameters.'') - return - df = pd.DataFrame(data, columns=[''reference_period_start'', ''commodity_name'', ''price'']) - df[''reference_period_start''] = pd.to_datetime(df[''reference_period_start'']) - df.sort_values(by=''reference_period_start'', inplace=True) - monthly_price_changes = calculate_relative_average_monthly_movement(df) - plot_file = plot_commodity_prices(monthly_price_changes, country_code) - hdx_url, data_url = get_attribution_and_data_url(country_code, start_date) - result = { - "result": { - "type": "image", - "file": f"{plot_file}", - "value": "" - }, - "metadata": { - "params": { - "country": f"{country_code}", - }, - "parameters": { - "country_code": f"{country_code}" - }, - "attribution": f"{hdx_url}", - "data_url": f"{data_url}", - "time_period": { - "start": f"{start_date}" - } - } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result - -', 'plot a line chart of commodity prices by commodity type for Chad from 2008-01-01 using HDX data as an image', '{}', '{HAPI}', NULL, NULL, ' params = { - ''country_code'': ''TCD'', # ISO3 code for Chad - ''start_date'': ''2008-01-01'' - } - generate_commodity_price_plot(**params) - - -', '"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"', 'image', '{"params": {"country": "TCD"}, "parameters": {"country_code": "TCD"}, "attribution": "None", "data_url": "None", "time_period": {"start": "2008-01-01"}}', 'Recipe Manager', 'matt', 'matt', '2024-07-11 00:36:42.292537', 'approved', 'matt', '2024-07-11 00:36:42.292537+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('0f1964f6-b03c-405b-9fea-f71df49d4f7f', '# filename: recipe.py - -import os -import pandas as pd -import geopandas as gpd -import matplotlib.pyplot as plt -from dotenv import load_dotenv -import psycopg2 -from skills import * -from sqlalchemy import create_engine -import base64 -import io -import logging - -load_dotenv() - -# Database connection details -DB_HOST = os.getenv(''POSTGRES_DATA_HOST'') -DB_PORT = os.getenv(''POSTGRES_DATA_PORT'') -DB_NAME = os.getenv(''POSTGRES_DATA_DB'') -DB_USER = os.getenv(''POSTGRES_DATA_USER'') -DB_PASSWORD = os.getenv(''POSTGRES_DATA_PASSWORD'') + Create and save a scatterplot showing price movements and fatality rates. -# Create a database connection -engine = create_engine(f''postgresql://{DB_USER}:{DB_PASSWORD}@{DB_HOST}:{DB_PORT}/{DB_NAME}'') + Args: + country_code (str): ISO3 country code. + start_date (str): Start date in ''YYYY-MM-DD'' format. + output_path (str): Path to save the output image. -logging.basicConfig(level=logging.INFO) + Returns: + str: Path to the saved image. + """ + fatalities_df = get_fatalities_data(country_code) + prices_df = get_commodity_prices(country_code, start_date) + monthly_avg_change = calculate_relative_average_monthly_movement(prices_df) + fatalities_df[''reference_period_start''] = pd.to_datetime(fatalities_df[''reference_period_start'']) + fatalities_df[''month_year''] = fatalities_df[''reference_period_start''].dt.to_period(''M'') + monthly_fatalities = fatalities_df.groupby(''month_year'')[''total_fatalities''].sum().reset_index() -def get_attribution(region): - query = f'''''' - SELECT distinct resource_hdx_id - FROM hapi_coordination_context_operational_presence - WHERE adm1_name = ''{region}'' - '''''' + combined_df = pd.merge(monthly_avg_change, monthly_fatalities, on=''month_year'', how=''inner'') - data = execute_query(query) - if not data: - print(''No data found for given parameters.'') - resource_id = data[0][0] - hdx_url, data_url= get_hdx_dataset_url(resource_id) + # TODO remove outliers + combined_df = combined_df[combined_df[''total_fatalities''] < 100] - return hdx_url, data_url + plt.figure(figsize=(10, 6)) + sns.regplot(x=''total_fatalities'', y=''price_change'', data=combined_df, scatter_kws={''alpha'':0.5}, line_kws={"color": "blue"}) + plt.title(''Scatterplot of price movements of food items vs. fatality rates'') + plt.ylabel(''Average monthly price change of food items (%)'') + plt.xlabel(''Total fatalities'') + plt.grid(True) + plt.savefig(output_path) + return output_path -def get_date_range(region): - query = f'''''' - SELECT MIN(reference_period_start) as start_date, MAX(reference_period_end) as end_date - FROM hapi_coordination_context_operational_presence - WHERE adm1_name = ''{region}'' - '''''' - logging.info(f''Query: {query}'') - data = execute_query(query) - if not data: - print(''No date range found for given parameters.'') - return None - return data[0] +def get_attribution(country_code): + """ + Get the attribution URL for a given country. + Args: + country_code (str): ISO3 country code. -def create_bar_chart_of_humanitarian_organizations_in_a_given_region_disaggregated_by_sector(region): - # Query the database to get the data - query = f'''''' - SELECT sector_name, COUNT(org_name) as count - FROM hapi_coordination_context_operational_presence - WHERE adm1_name = ''{region}'' - GROUP BY sector_name - ORDER BY count DESC - '''''' - logging.info(f''Query: {query}'') - df = pd.read_sql(query, engine) - print(''DEBUG INFO - Dataframe shape:'', df.shape) - - # Create the bar chart - plt.figure(figsize=(10, 6)) # Ensure the figure is large enough - plt.bar(df[''sector_name''], df[''count'']) - plt.xlabel(''Sector'') - plt.ylabel(''Number of organizations'') - plt.title(f''Humanitarian Organizations in {region} disaggregated by Sector'') - plt.xticks(rotation=90) - plt.tight_layout() # Adjust layout to make room for labels + Returns: + dict: Dictionary containing attribution and data URLs. + """ + query = f""" + SELECT DISTINCT resource_hdx_id + FROM hapi_coordination_context_conflict_event + WHERE adm0_code = ''{country_code}'' + """ + data = execute_query(query) + if not data: + raise ValueError(''No attribution data found for the given country code.'') + resource_id = data[0][0] + hdx_url, data_url = get_hdx_dataset_url(resource_id) + return {''hdx_url'': hdx_url, ''data_url'': data_url} - # Create a bytes buffer for the plot and save it to the buffer - buf = io.BytesIO() - plt.savefig(buf, format=''png'', dpi=300) - buf.seek(0) - plt.close() - # Encode the bytes buffer in base64 - image_base64 = base64.b64encode(buf.read()).decode(''utf-8'') - image_base64 = image_base64.replace(''\n'', '''') +def generate_price_vs_fatalities_report(country_code, start_date): + """ + Generate a report of price movements vs fatalities for a given country. - image_file = f''./work/bar_chart_{region.replace(" ", "_")}.png'' - with open(image_file, ''wb'') as f: - f.write(base64.b64decode(image_base64)) - - attribution, data_url = get_attribution(region) - date_range = get_date_range(region) - - result = { - "result": { - "type": "image", - "file": f"{image_file}", - "value": "" - }, - "metadata": { - "params": { - "region": f"{region}" + Args: + country_code (str): ISO3 country code. + start_date (str): Start date in ''YYYY-MM-DD'' format. + + Returns: + dict: JSON object containing the report. + """ + try: + image_path = plot_price_vs_fatalities(country_code, start_date) + attribution = get_attribution(country_code) + result = { + "result": { + "type": "image", + "file": image_path, + "value": "" }, - "attribution": f"{attribution}", - "data_url": f"{data_url}", - "time_period": { - "start": f"{date_range[0]}", - "end": f"{date_range[1]}" + "metadata": { + "params": { + "country_code": country_code, + "start_date": start_date + }, + "attribution": attribution["hdx_url"], + "data_url": attribution["data_url"], + "time_period": { + "start": f"{start_date}", + "end": "" + } } } - } - print("OUTPUT:") - print(json.dumps(result, indent=4)) - return result + print("OUTPUT:") + print(json.dumps(result, indent=4)) + return result + except Exception as e: + print(f''Error: {e}'') + return {''error'': str(e)} -', 'plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image', '{}', '{HAPI}', NULL, NULL, ' result = create_bar_chart_of_humanitarian_organizations_in_a_given_region_disaggregated_by_sector(''Wadi Fira'') +','plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image','{}','{HAPI}',NULL,NULL,' country_code = ''TCD'' # Example country code + start_date = ''2008-01-01'' # Example start date + generate_price_vs_fatalities_report(country_code, start_date) -', '"iVBORw0KGgoAAAANSUhEUgAAC7gAAAcICAYAAACsf4x4AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAC4jAAAuIwF4pT92AAEAAElEQVR4nOzdd3gUVf///1cKIZQkJIQuTXrvVar0jqAi2BCxgIVbbHirYEUUb9uNioICt2ABBKQJ6kd6JyBVOqGXJCSkkT6/P/iSH5vZJLuTTXaDz8d15boyZ/eUPTs758zue854GYZhCAAAAAAAAAAAAAAAAAAAAAAAN/N2dwMAAAAAAAAAAAAAAAAAAAAAAJAIcAcAAAAAAAAAAAAAAAAAAAAAeAgC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BALcAQAAAAAAAAAAAAAAAAAAAAAegQB3AAAAAAAAAAAAAAAAAAAAAIBHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAAAAAAAAAAAAeAQC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BALcAQAAAAAAAAAAAAAAAAAAAAAegQB3AAAAAAAAAAAAAAAAAAAAAIBHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAAAAAAAAAAAAeAQC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BALcAQAAAAAAAAAAAAAAAAAAAAAegQB3AAAAAAAAAAAAAAAAAAAAAIBHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAAAAAAAAAAAAeAQC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BALcAQAAAAAAAAAAAAAAAAAAAAAegQB3AAAAAAAAAAAAAAAAAAAAAIBHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAcEsJDw+Xl5eXzd/s2bPd3axCjT4Fbj1ZP9NvvPGGu5t0S5o9e7apr8PDw93dLOQR4yIKWpcuXWz2ty5dujiU71Y+1t/Kr62wqVatms17MXLkyFzzcBwF8E9hdQzPC85BAAAAANwqfN3dAAAAAAAAAFiTlJSkvXv36vjx47p8+bISEhLk7e2tEiVKqFKlSqpVq5bq168vHx8fdzcVAAAAAACg0Dl37px2796ty5cv6+rVq0pISFCxYsVUokQJlSlTRtWqVVP16tUVEhLi7qYCAAAAtxQC3AEAAAAoPDxc1atXt0nr3Lmz1q5dm+ey165dq65du9qkPfzww6zOBgAWRUdHa968eVqwYIG2bt2qlJSUHJ8fGBioO++8U/fdd5+GDBmiIkWKFFBLAQCF3ZgxYzR9+nSbtBkzZmj06NGWynvhhRf0n//8x5S+YcMGdejQwVKZ/fv314oVK2zSli9frn79+lkqD3nn5eXl0vKCgoIUExPj0jIBAABysmvXLs2cOVNLlizRhQsXHMpTpUoVtWzZUu3atVPv3r3VsGHDfG4lAAAAcGvzdncDAAAAAADwBGvXrjXdwtkVF3kArpKQkKBXX31VVatW1TPPPKP169fnGtwuSbGxsVqyZInuu+8+1axZU998840MwyiAFgOFD2MBYCvrhaqS8vSZWLNmjd10q2Wmp6drw4YNNmk+Pj7q2LGjpfIAAIB1s2fPNs2lw8PD3d0swClnzpxR//791aJFC3355ZcOB7dL0unTp7Vo0SK9+OKLatSokSpXrqyEhIR8bG3hEh4ebjpGsAgOAAAAckKAOwAAAAAAgIfbsmWLGjRooMmTJysuLs5yOadPn9bo0aPVpUsXnT9/3oUtBADcirp06WJKsxqMfvXqVf311192H8su8D03u3btUmxsrE1aixYtFBgYaKk8AAAA/HP9/vvvql+/vunuQFadPXtWqampLikLAAAA+CfydXcDAAAAAAAAkL25c+fq0UcfzXa19jp16qh3796qXLmyKlSooNTUVF24cEHHjx/X8uXLdfHiRVOe9evXq0WLFlq1apWaNGmS3y8BAFBIlS1bVg0aNNCBAwcy086dO6ejR4+qVq1aTpW1fv16ZWRk2H1sy5YtSklJkZ+fn1Nl2gu2t7fqPNyrSJEiql+/vuX8AQEBLmwNAACA2Z9//qmBAwcqKSnJ9FixYsXUrVs3NWnSRNWqVVNAQIAyMjJ05coVXbx4UWFhYQoLC9Ply5fd0HIAAADg1kWAOwAAAADgllKtWjUZhuHuZtxS6FP3mTt3rh5++GG7AYFDhw7Vm2++qQYNGmSbPyMjQ+vXr9eLL76onTt32jx28eJF3XnnnVq3bp0aNmzo8rbDs/GZLhgjR47UyJEj3d0MuNg/bVzs2rWrTYC7dH3FdWcD3LOu0u7j46P09HRJ0rVr17R161Z16tQpT2XeaC+u85T9tGLFitmu3m+Vp7w2WPNPO44CADxbfHy8Hn74YVNwe2BgoF577TWNHTtWJUqUyLWcnTt3avHixZo/f76OHTuWX80FAAAA/jG83d0AAAAAAAAAmG3evFmPPvqoKbi9VKlSWr58uRYuXJhjcLskeXt7q0uXLtq2bZumTp0qLy8vm8evXLmigQMHKioqyuXtBwDcGuwFjNtbOT03WfPcf//9eSozPT1dGzdutEkrUqSIOnTo4HTbAAAA8M81depUnT171iatXLly2rRpk1588UWHgtslqWXLlnr33Xd15MgR/frrr+rXr5+8vQnJAQAAAKxiNg0AAAAAAOBhEhISdP/99yslJcUmPSgoSL/99pv69evnVHne3t564YUXNGPGDFOQ+8mTJzV27Ng8txkAcGvq3LmzaexwNhg9JiZGe/bsydwODg7WM888Y/Mce6ux5yQsLExxcXE2aa1atXI4AAkAAACQpB9++MGU9uWXX1q+252Xl5d69+6t5cuXKzAwMK/NAwAAAP6xCHAHAAAAAADwMG+99ZbCw8Nt0ry8vLR48WK1atXKcrmPPvqo3nzzTVP6/PnztXr1asvlAgBuXaVLl1bjxo1t0i5cuKDDhw87XMb69ett7kjSsWNHNW/eXEFBQZlpW7duVXJyssNl2guyt7faPAAAAJCdY8eO6ejRozZplStX1uDBg93TIAAAAACZfN3dAAAAAAAozBITE7Vt2zYdPnxY0dHR8vX1Vfny5dW6dWvVqVPH4XKioqK0fft2HTt2THFxcQoMDFSFChXUuXNnhYaGuqy96enpOnHihA4dOqRz584pNjZW6enpCg4OVnBwsOrWratGjRoV2O1zjx49qrCwMJ07d07JyckqXbq0KlasqA4dOig4OLhA2lCQPLH/9+zZo7Nnzyo+Pl5+fn4qX768HnrooXyt99y5czp06JDCw8N19epVXbt2TYGBgQoJCVGVKlXUqlUr+fv752sbboiIiNDWrVt14sQJxcfHKygoSGXLllWbNm1UtWrVAmlDVhcvXtR///tfU/pjjz3mksC9CRMmaMGCBdq3b59N+quvvqpevXrlufwb8rp/HT58WPv27dOFCxcUGxuroKAg1ahRQ23atFFISIjL2pmVYRg6deqUDh06pNOnTys2NlYpKSkqVaqUgoODVaNGDTVv3ly+vgXztdqZM2e0Y8cOnTp1SomJiQoJCVG5cuV0xx13qFy5cgXSBk8RHx+vQ4cO6ciRI4qKilJcXJyKFi2q4OBglS1bVi1btlT58uXd3cx8d2Pucf78eUVERCgpKUllypRR2bJl1axZM912220F0o6CGsOvXLmivXv36vjx44qNjVVCQoL8/PxUvHhxlS1bVtWqVVPt2rVVqlQpl9Xpbqmpqdq+fbsOHjyoyMhIFSlSRGXKlFHt2rXVunVr+fj4FHibunbtarMCu3R9xXVH57tZV2fv0qWLvL291bFjRy1fvlySlJSUpC1btqhLly6WyrzRTke4e04WFRWlrVu36ty5c4qIiFCxYsVUpUoVtWjRQtWrV8+XOuG49PR0/fXXXzp48KAuXbqkpKQklShRQo0bN1a3bt0cyu9Jc35nnTt3Tjt37tT58+d15coVlShRQtWrV1erVq1UsWJFdzfPpCDHicuXL+vQoUM6fvy4YmJilJCQoICAAIWEhKhSpUpq3bq1SpYsmfcXZUdqaqq2bNmiU6dO6cKFC5Kk0NBQNWjQQC1btsz3seHq1avavHmzzp8/r0uXLqlo0aKqWLGimjVrprp16+Zr3VkZhqEDBw5o//79On/+vBITE+Xv76+aNWs6FZB66dIl7dq1SxEREbp8+bIyMjJUpkwZlStXTm3bts2Xcw539mN0dLQOHTqko0ePKjo6WvHx8SpevHjm+UXr1q3z9TwrP5w+fVp79+5VRESEIiIi5OPjo9DQUFWsWFHt2rXLl8/jrTSGx8XFaevWrTp69KhiYmJUvHhxVaxYUQ0aNFCDBg3c3bwCc+rUKVNas2bNTHcwcqeYmBjt2LFDly5dUkREhJKTkxUaGqqyZcuqVatWqlChQr7VHRERobCwMEVERCgyMlKJiYkKCAhQaGio6tSpo3r16ql48eL5Vr9VKSkp2r59u86ePavLly8rISFBpUuXVtmyZdWgQQPVqlWrQNpx+vRp7d69W6dOnVJcXJx8fHxUrlw5DRs2zCP7DQAAwOMYAAAAAP7xTp48aUiy+evcubNLyl6zZo2p7IcffthSvjVr1lhqQ9WqVZ2uf9asWab6T548mfn4oUOHjAceeMDw9/c3Pe/GX/PmzY0VK1bkWM/69euN3r17Gz4+PnbL8PHxMXr16mXs37/f0ms3DMM4fPiw8d577xk9e/Y0SpQokW17b/wFBQUZd999t7F161bLdWYtc9KkSZmPpaenG99++63RsGHDbNvg4+NjdOvWzdiyZYvTddvbn2fNmmX3uZMmTcq1P3L7y21/8rT+j4+PN9577z3j9ttvz7YNeelTeyIiIoyvv/7auPfee41y5crl2gd+fn5Gp06djPnz5xvp6emW+qBz5845HtPWrFlj9OjRw/D29s62HfXr1zfmzp1rZGRkWGqDVW+99ZapLYGBgUZMTIzL6li7dq3d17xhw4Zc87p6/7pZamqq8dFHHxn169fP8fjQp08fY+PGjQ63KzdnzpwxPv30U2PgwIFGcHBwrvto8eLFjT59+hirV692uI6schubFi1aZLRt2zbbNnh5eRmtW7c2Vq5caal+Z/srr8dKe3+5HUdSU1ON1atXG88++6zRuHFjw8vLK9cya9SoYbz++utGRESEw32Rn2NBbvMJZ8yfP9/o0aOHUbRo0Rzb0qBBA2PSpEnG1atXLdWT076R32P4DdeuXTM+++wzo1WrVg71v5eXl1G3bl3j8ccfN3777TcjNTXVct2OsDou5rY/XLhwwRg3bpwRFBSU7WstVaqU8a9//cuIjIzMvxdoxy+//GJqy7BhwxzO37RpU5u8YWFhhmEYxtSpUy0du1NTU42AgACbvH5+fkZiYmK2edwxJ8tq7dq1Ru/evQ1fX99s623UqJExe/Zsm/lHbvOa7Dh7rHeVrPVWrVo13+tw5LXldo556tQp46mnnsp2LpBTv3vC/pVXixYtMjp27JjteOvl5WW0b9/e+OWXX2zyWTnfzuv5RUGNE7GxscbcuXONhx56yKhSpUqu9fj4+BgtW7Y0ZsyYYSQnJzv8enJy6tQpY9SoUTnOUUNCQowXXnjBuHz5cmY+V81BNm7caPTt29fw8/PLtv6aNWsan332mZGSkpKZ7+GHH3b6OJDbfhEZGWm88sorRvny5e22w5E6rly5YrzxxhtGs2bNcpxbent7Gy1btjSmT59u87qsKsh+vOHatWvGokWLjMcff9yoXbu2Q5+TBg0aGB9++KERFxfncD1Z22jlz5nx6ezZs8bzzz9v1K1bN8cyixQpYnTs2NH48ccfXXJOX9BjeF7k9vnfvXu3MXTo0Bz3x7p16xpTp051eP//5ptv8nRctyc5OdkoW7asTZlNmzbNU5n2fP/996a2Dx8+3OX1OCsxMdH4z3/+Y7Rr1y7b741v/DVo0MCYMmWKER8f75K6L1y4YLzyyisOnYf7+fkZXbt2NT7++GMjKirKVJa9/dHZP2c+N7///rsxcOBAo2TJkjmWefvttxvjx483Lly4YKmPcpr/pKSkGF988YXRqFGjbOu3+r0AAADAPw0B7gAAAAAIcLcjpx+DPv/881yDy27+GzdunOnHtOTkZGPMmDEOl+Hr62v873//c+p1R0ZGGs2aNcvTDwiDBg0yoqOjnarXMLIPODl79qzRrl07p9rw73//26m6PSXA3RP7f+vWrQ4FZuSlT7MaPnx4jj8A5/ZXr149Sxd4ZPcjclJSkjF69Gin2tCzZ0+X/UjoCHvB4U8++aTL67EXRD5q1Khc87l6/7ph9+7dOQbNZv3z8vIynn32WSMtLS3HduWmQ4cODgVOZ/fXvn1748yZMw7VdbPsxqaYmBhjwIABTh+HnA3odba/8nIsy+4vp+PITz/9ZISGhlouu3jx4sa0adMc6gtPD3DftWuXwwF8N/+FhoYa06dPd6ouw3DvGG4Y1+eA1atXz9P78euvvzpdrzPyI8B94cKFRqlSpRx+jaVLl87TRQTOio6ONl0UVq5cOYfyXrlyxSZvUFBQ5gVs27dvtymzU6dODpW5detWU59kl9edc7IbEhMTjUcffdSp8aZz586ZF+sQ4J57HXkNcJ85c6ZRvHjxXN+TrDxh/8qriIgIY9CgQU61+Z577jESEhIMwyj4APeCGidefPHFHC9oz+3vtttuM9avX+/Qa8rOp59+6tAFEzf+QkNDjVWrVhmGkfc5yLVr15w+bjVu3Ng4ceKEYRiuD3BftmyZERISkmP9OdWRlpZmvPfee06NtTf+qlevbqxdu9bhvnN3PxqGYXzyySdGYGCg5f03ODjY+Pnnnx2qq6AC3BMTE40XXnjB0ueycePGxr59+xx6PfbqdccYnhc5ff7feecdp76jadiwobFr165c60xMTDR9Rtu0aZOn12Ev8Pyrr77KU5n2LFq0yFRP+/btXV6PM2bMmGFUqFDB6X29XLlyxoIFCyzXm5CQYDz33HNGsWLFLH2WixYtapw7d86mzIIKcD9+/LjRs2dPp8suUaKE8dZbbzm9wEZ2858jR4449N0WAe4AAACO8cz7HwIAAACAh5o8ebKeeuopJScnO5zn008/1auvvpq5nZKSosGDB+vLL790uIy0tDSNHDlSv/zyi8N54uLitHv3boefb88vv/yi1q1b6+zZs3kqR5JOnDihNm3aaMuWLU7lmzx5sl577bU811/QPK3/169fry5duuj06dN5LssZmzdvVlpamuX8f//9t9q2bas//vgjz21JSkpSnz59NHPmTKfy/fbbb+rbt6/S09Pz3IbcHDhwQCdOnDCljx492uV1Pfroo6a0lStXyjAMp8vK6/61fft2de3aVfv373c4j2EY+uyzz/Tggw9aavMNGzduzFP+zZs3q2XLltqzZ4/lMm6IiopShw4dtGzZMqfyzZkzRyNHjsxz/Z7k4MGDioyMtJw/MTFRTz/9tMaMGePCVhW8VatWqWPHjtqxY4fTeSMjI/Xkk09q3LhxysjIyFM7CmoMX7lypXr37q2TJ08628RCbfr06brnnnsUExPjcJ6oqCh1795df/31V76162alSpVSs2bNbNIuXbqkv//+O9e869evt9kHO3bsKG/v6z9NNG/eXAEBAZmPbdu2TUlJSbmWuXbtWlNa165d7T7X3XOya9euacCAAfrmm2+cGm/WrVunTp06KTo62uk64ZypU6dq9OjRSkxMdDqvu/evvIqKilK3bt2cOs+UpAULFqhPnz5KSUnJp5bZV5DjxPbt2x06HmXn7Nmz6tatm7777jtL+V999VWNGzdOCQkJDueJjIxU//79tXz5ckt13mD1uLV37161b99e4eHheao/q59++kmDBg3SlStXLOWPi4vTwIED9corrzg11t5w8uRJ9ejRQ99++61T+dzZj7t371ZsbKzl/NHR0br77rs1ZcoUy2W40sWLF9WlSxd9+OGHlj6XN/p05cqVTuW71cbwl19+Wa+99ppT39Hs379fXbt21c6dO3N8XrFixTRq1CibtG3btuVpjMz6vWlgYKDuv/9+y+Vlp3z58qa07du369SpUy6vKzepqakaPXq0HnvsMV24cMHp/JcuXdK9996rt99+2+m8p0+f1h133KGPP/5Y165dczq/JCUnJxf43ECSwsLC1L59e/32229O501ISNDEiRM1bNgwp77vt+fQoUNq166dU99tAQAAIGe+7m4AAAAAABQWS5YssQlUL1eunPr376/mzZsrNDRUcXFx2rNnj+bPn69Lly7Z5J0yZYoGDx6s1q1b66mnntKvv/6a+VjdunXVv39/1apVS6VKldKVK1e0ceNGLVy40OaL9YyMDI0ZM0ZdunRRUFCQ0+0vWbKkWrVqpXr16qlWrVoKCgpSQECAUlJSFB0drYMHD2rNmjWmQKWjR49q2LBhWrdunXx9rZ1GxsXFqU+fPjp37pwkycvLS+3bt1f37t1VpUoVlSxZUhEREdq0aZMWL15s+sFyypQpGjBggNq0aWOp/uyUL19eTZo0kSTFx8fr+PHjNo/XqFFDJUuWzLGMKlWqOFSXO/v/4sWLGjJkiE2/tm7dWj179lTVqlUVEBCgCxcu6ODBg1qwYIGlOhzh4+Oj5s2bq0GDBqpbt65Kly6twMBAGYah2NhYHT16VFu3btWmTZtsAuHi4+N13333affu3apcubLl+keNGqU1a9ZkbtepU0d9+vRR3bp1FRISoqtXr2r37t36+eefTZ/h9evX6+OPP9YLL7xguX5H2AvYK1u2rFq0aOHyunr37q3nn3/eJu3ixYv6+++/Vb9+fYfLyev+FR4erp49e+rq1aumxxo0aKCBAwfq9ttvV0BAgC5duqSwsDAtW7YsM1jghx9+UPPmzR1ub06KFi2qli1bqn79+qpTp46Cg4MVEBCgtLQ0Xb16VYcOHdLGjRsVFhZmk+/SpUu6++67FRYWpsDAQEt1p6WlafDgwTY/hDZr1ky9evXS7bffnjk+bNu2TYsWLTL117x58zR48GDdfffdlurPzY1jpVVHjx61FDh4Q9WqVdWsWTPVr19ft912mwICAlSsWDHFx8fr/Pnz+uuvv7R69WpTv0yfPl2NGjXS2LFjsy27IMcCZ6xZs0YDBgywG4DStGlTDRgwQNWqVVOxYsV04cIFrVu3TqtXrzb9KP/ZZ58pPT1d06ZNs9SOghrDIyMj9fDDD5va7+vrq06dOql9+/aqVq1aZjB0bGysLl++rAMHDmjXrl06dOiQpdfnbr/++quefvrpzKCpoKAg9ezZU+3bt1fZsmWVkZGh8PBwLV++XNu2bbPJm5CQoEceeUQ7duywPEdwRteuXU3HvzVr1qhevXo55rt57JWkLl26ZP7v4+OjO+64Q6tWrZJ0PShm8+bNuvPOO50q80b7HFHQc7L77rtP//d//2dKL126tO666y41adJEZcuWVVRUlA4cOKBFixZlBjT9/fffeuihhxyuC8777bffbAI4ixYtqq5du6pLly4qX768fH19dfbsWW3btk3x8fG5lufOOb+zUlNT1atXL+3du9f0WKVKlTR06FDVq1dPISEhunTpknbv3q0lS5ZkzsHWr19vmkvmJ3eOE15eXmrUqJEaNWqkevXqqUyZMgoMDJSPj4/i4uJ04sQJ7dixQ2vWrFFqampmvtTUVD322GNq2LCh6SKhnHzyySeaPHmyKd3Pz0/du3dX165dVbFiRaWlpens2bNavXq1Nm7cqIyMDKWlpWn48OF5em+GDx9u9wLj4OBgDRw4UC1atFDZsmUVFxen48ePa+nSpTp48KCk6+cGd911lxo0aGC5/pvt379f06ZNyzw/9PHxUYcOHdStWzfddtttKlasmM6dO6fdu3fbDaRNTExUly5dtGvXLtNjNWrUUNeuXdW4cWOFhITI19dXkZGR2rFjh1auXKmIiIjM594IOi1Xrpz69evnUNs9qR/r1KmjJk2aqF69eqpQoYICAgLk5+enuLg4nT59Wrt379Zvv/1mE9RqGIb+/e9/q1GjRjm+5ipVqmTOpa9cuaIzZ87YPF6vXj35+fnl2D57AcY3XLp0SW3btrUbbNywYUN17txZDRo0UKlSpSRJly9f1pYtW7Ry5UrFxcVlPjcuLk5Dhw7V5s2bHf483kpj+IIFC/TBBx9kbvv7+6tPnz7q2LGjKlSokHketHjxYh0+fNgm79WrV9WjRw+FhYXp9ttvz7aOsWPH6qOPPrL5PufLL7/U119/7XR7Dxw4oA0bNtikPfjggypRooTTZeWmWbNmKlasmM3+n5aWpoceekgrV67MlzrtycjI0ODBg+1eiFGxYkV169ZNzZo1U2hoqPz9/XXlyhXt3r1bv/76q81iA4ZhaOLEiQoNDXX4gu/Tp0+rdevWpu/CpOsXL3Ts2FGdOnVSuXLlFBQUpLi4OF28eFG7d+/W5s2bdf78+WzLDgkJyTxGpKSkmOZAlStXVkhISI7tq1mzZraP/f333+rSpYvdeVqtWrV01113qWbNmgoMDNTFixe1fft2LV261PT8hQsXKikpyekFB25ITEzUwIEDFRUVlZnWsGFD9enTRzVq1FBwcLAuX76sI0eO5Ot3rwAAALcc9ywcDwAAAMCT2LsNtKtumWvvNvCO3LI8p9vHO8vKLdPt3T61aNGihiTDx8fHePvtt41r167ZzXv16lVjyJAhpvw9e/Y0fv7558ztMmXKGPPnz8+2DUePHjVq165tKmfy5MkOve6TJ08apUqVMp5++mlj7dq1RkpKikP5Nm3aZLRs2dJU79SpUx3KbxiGKe/Nt5Bu06aNERYWlmO7mzdvbiqjV69eDtVt9Xb3rtznbrTDU/rfx8cn8//GjRsbmzdvzjavvf3aap8ahmHUqlXLGDJkiLFo0SIjJibGoTzh4eHG8OHDTXX269fPofyGYb4N+M37YPny5Y2FCxdmmzcuLs546KGHTPWXKlXKSExMdLgNVjzyyCOmevv27ZsvdaWnpxslS5Y01ffdd9/lmM+V+1dGRobRrVs3U5nly5c3Fi1alG05cXFxxrhx4zKfb+/22Y7c5t4wDKN48eLGww8/bKxatcrh93f//v1Gjx49THU+9dRTDuU3DPPYdPM+Wrt2beP//u//ss17+fJlo1evXqb669at63D9VvvLikWLFhne3t6m15vTWDBp0iSjUaNGxieffGIcOXLEoXqSkpKMzz77zAgMDDSN32fPnnWoDFePBfbmE47cijwyMtKoVKmSKW+VKlWMX3/9Ndt8Z86cMfr162fKJ8lYsmSJQ2121xj+9ttvm/L16NHDOHXqlEPtPnnypPHRRx8ZtWrVyrGPXMHquGhvf7jRv15eXsbzzz9vREdHZ5v/p59+snk/bvz98MMPrntxOVixYoWp7nvuuSfXfE2aNLHJs2PHDpvH33vvPZvHX3/99RzLS01NNY1f/v7+RlJSkt3nu3NOZu899/LyMl544YVsx5zU1FTj7bffNooUKZLtOOfouVpBHutzqrdq1ar5Xocjr83eMf7meczQoUON06dPZ5s/u3myu/avvJo0aZKp/qJFixpTpkwx0tLS7OaJj4+3mYN5eXllniff+HPkfNvKcbSgx4muXbsaPXv2NObNm2dEREQ4VEdERITxzDPPGF5eXjbtbNiwoUP5DcMwDh8+bPdY36tXrxznELt37zZatGiR7XHD0TnInDlz7M4jnnvuOSM+Pj7bfAsWLDDKli2bbf2OHAfs7Rc3f0a7dOliHDhwINv89j6jDz/8sKnM+vXrG7/99puRkZGRbVmJiYnGe++9Z3MslmQEBwcbZ86cyfW1uLMfDcMwRo4cabRr1874+uuvHWqvYVw/x3rjjTcMPz8/mzrLlCnj8HmS1blvdtLT040777zTVGb79u2NrVu35pg3OjraGD9+vOnzWL16dSM2NtbSaynIMTwvcppzSte/Wzl37ly2+efMmWOUKlXKVMadd96Z4+fGMAyjf//+NnlKlChhXL161enX8PTTT5vq37dvn9PlOOruu++2+5mtVq2aMWPGjBw/t64yceJEU/233XabMX/+/GzHZcO4vt/NmDHDND/28/PL8dzthmvXrtmdk/j5+RkvvviiceXKlRzzZ2RkGJs3bzaefPJJw9/fP8fPfF6+X7QnKSnJdK4hyQgJCcnxu60rV64YI0eOtPuef/LJJw7VnfU7nZvHq2rVqhnLly/PNm9aWpqRmprq9OsFAAD4JyLAHQAAAAAB7nbY+zFIkuHt7Z1j0OUNKSkpRsOGDU0/hIWGhhqSjAoVKjgUsHfs2DFTwEDt2rUdedlGcnKy5WDca9euGb1797apt3Llyg5/+W6v7yQZ/fv3z/bCgJtFRUUZ5cqVM/W9I8ELnhLg7on9f8cdd1j6YTEvP0A5GtRuzxtvvGH6DB06dMihvFkD3G/83X777UZ4eHiu+TMyMuwGEOcW/J1X7du3N9U5ceLEfKuvY8eOpvpee+21HPO4cv/68ccfTeWUL1/eOHz4sEP5//Of/2TbHkeD+Kzuo+np6caoUaNs6ixRokSuP/7ekHVsuvHXqlUrIyoqKtf8SUlJpnFGkrFhwwaH6rfaX87asGGDKUjLkbE0L8eOPXv2mILcX3nlFYfyekqA+2OPPWbKV716dYcClDIyMowHHnjAlN/R4CR3jeFZgyrq1q2bbcByTjIyMvL9YiRXBrjfGN/+97//OVT3vHnzTPm7deuWx1fkmNjYWMPX19e0X+UkKirKJrAsMDDQFKCzefNmmzI7dOiQY5lbtmwx9cGdd96Z7fPdNSeLiYkxgoODTW3973//61DdCxYssAmUufmPAHfXBbjf+Hv22WcttcOdc/68OHbsmClw19fX11i8eLFD+T/66KNs+zK/AtwLepzIy1xk9uzZpte3evVqh/Jm3Sek6xcT5RTceENcXJzd8wlH5yAJCQlGSEiIKd9nn33mUNsPHjxoE5zt7HHA3n5x42/IkCEOX0Byw08//WQqZ/DgwUZycrLDZaxevdr0WRkzZkyOedzdj4aRt/33999/N433X331lUN5XR3g/v7775vKe+qpp3INsr7Zt99+ayrj/fffzzGPJ4zheZHdnFOSMWLECCM9PT3XMrZv324EBASY8uc2Z121apUpz7Rp05xqf3x8vOl8rmPHjk6V4ay9e/eaLsq++c/f39/o06eP8e677xp//PFHjhelWrF582ZT/e3atXPqs/zXX3+Z+q1Pnz655nv55ZdNrzcoKMj4888/nX4dly5dMhISErJ93NUB7u+++66pvJCQEGPPnj0O5f/3v/9tyu/oBfLZfadTp06dHC8gAQAAgHO8BQAAAAB27Ny5U02bNs3z3+jRo939UlxqwoQJuuuuu3J9XpEiRTRx4kSbNMMwFBkZKUn67rvvVKtWrVzLqVGjhh555BGbtCNHjuj48eO55vXz81OxYsVyfZ49/v7+mjNnjooXL56ZdubMGf3222+WypOkatWqae7cufL398/1uSEhIZo0aZJNWkZGhn7//XfL9Rc0T+v/oKAg/fTTTwoMDLRchtV6rZo4caJatWqVuW0Yhr755hvL5RUpUkTz589X1apVc32ul5eXPvroI1P66tWrLdfviLNnz5rSKlWqlG/12Ss76y3lHWF1/5o2bZopbdasWapdu7ZD+cePH68hQ4Y4VWdWVvdRb29vff7556pcuXJmWkJCgn744QfLbSlVqpQWLlyY6+25Jalo0aI2t5i/Ib/3UWccPHhQAwcOVFJSkk36tGnTch1L83LsaNy4sSZPnmyTlpdjR0GLjIzUd999Z5Pm4+OjRYsW6bbbbss1v5eXl2bNmqVGjRrZpEdERJjKdVRBjOEnTpyw2X7wwQdVtGhRp9vq5eVlefx1l+eee04PPvigQ88dMWKEWrdubZO2bt060+csPwQEBKhFixY2aRERETpw4EC2edavXy/DMDK3O3ToIB8fH5vntGzZ0mbOs337dl27di3bMteuXWtK69q1a7bPd9ec7H//+5+io6Nt0h588EE9/fTTDtV9991366WXXnKuwR7q/Pnzls8nly5dmu/ta926td15nyM8bc7vqC+++EKpqak2aa+88ooGDx7sUP7nnntOw4cPz4eWZa+gx4m8zEUefvhh3X333TZpM2fOzDXfsWPHTHO56tWra86cOaZjpz0lS5bUggULFBAQ4FyD/58ffvhBV65csUkbNmyYnnnmGYfy16tXz6HX6axq1appzpw5KlKkiMN5DMPQW2+9ZZPWpEkTzZ8/X35+fg6X07NnT9O8ZtasWbp8+XK2eTyhH/Oy/3bv3l3/+te/bNLy433NTWJioqZOnWqT1q9fP02bNk1eXl4Ol/PII4+Yvpv8+OOPlZKSkm2eW3UMr127tmbNmiVv79xDRFq1aqX//ve/pvRPP/00x3w9e/Y0fd85ffp0p9r5/fffKzY21iZtzJgxTpXhrEaNGuU4F0hKStKvv/6qV199Vd27d1dwcLBq1qyp++67T9OmTdPevXtt5rzOeuedd5SRkZG5XbFiRa1cudKpz3KTJk30xRdf2KT9+uuv2rNnT7Z5rly5os8//9wmzcvLS/Pnz89xfp2dsmXL2sxr8lNqaqrd75Rmz56txo0bO1TGu+++q969e9ukJScnm/rEUb6+vvrhhx9UsWJFS/kBAABgRoA7AAAAALsSEhK0Z8+ePP85EohdWJQqVUr//ve/HX5+//797f7g3qNHD3Xr1s3hcrL+MC5Ju3btcji/VWXLljV9yb9x40bL5U2aNMmpH2buu+8+04/4YWFhlusvbFzd/+PHj8/XQOn84OXlZQr4y0sfjBgxwhSYl5P69eurefPmNmn5vQ9mDYSQ8hackBt7ZWf9Id8RVvavv//+2/R+9urVy7Tf5+bjjz926Af6/ODv76977rnHJi0v++i4ceNUpUoVh5/fs2dPlSlTxibNU46TZ8+eVa9evUz706uvvprvwQmS9MADD9gEvly+fFlHjhzJ93pdYebMmaZg5SeeeEJNmzZ1uAxfX1+7ASn2AgAcURBjeFxcnM126dKlHW9gIRYYGGgKnMvNAw88YLOdlpamvXv3urJZ2bIX6LJmzZpsn5/1sS5dupieU6RIEbVv3z5zOyUlRZs2bXK4zOza5SpW52RZg7n8/f1NgXq5ee2111S+fHmn8nii1NRUy+eT9uZGrjZ16lSHgofzg6vn/I5ITk7W7NmzbdIqVqyoV155xaly/vOf/1gKMLeqsI0TDz30kM12Tse1G2bMmGEKkJw8ebJTF1FUrFhRL7/8ssPPv9nXX39ts+3j46MPP/zQqTIGDBig7t27W6o/O2+++aZKlizpVJ4VK1aYLsD69NNPnQqSv2H8+PE2Fw3cCHTNjqf2ozOy7r+7d+9WYmJigbbh22+/zVwkQrp+gbG9+a0jJk6caHNucPHiRW3ZsiXb59+qY/h//vMfpy7weOihh9SyZUubtLCwMO3cuTPbPF5eXho7dqxN2v79+7VhwwaH683a/2XKlNHQoUMdzm/VuHHj9Pnnnzs8th0/flw//fSTnnnmGTVp0kTVqlXTq6++qpMnTzpV7/79+7Vy5UqbtMmTJ6tUqVJOlSNd/94r6wUGS5Ysyfb5n3/+ueLj423SHn/8cfXs2dPpugvazz//rAsXLtik9e3bVwMGDHCqnGnTppnmgV9//bXpQkBHPPjgg2rWrJnT+QAAAJA9AtwBAAAAwEHDhg1TiRIlHH5+sWLFVKdOHVP6o48+6lS99r4YP3z4sFNlWJX1R5GtW7daKqdEiRIaMWKEU3mCg4NN9RfU6/YUrup/Ly8vjRo1yhVNKnBZ+2DXrl2WfmSSpMcee8zpPFlXyc3vAFl7K9Za+VHTUfbKzmnVXHus7l9//vmnKc3Z46MkValSRT169HA6n6u46nMqOb+P+vj4mC7a8ITjZExMjPr06WO6I8Ejjzyid955p0DaEBQUpLJly9qk5eW9KUj2VjrPGiTiiM6dO6tBgwY2afv27dOlS5ecKqegxvCsgYr5HeDpKe69916n736RdWySCu6zby+Q3N6K6tk91rlzZ7vPyxr4nl2ZaWlppiDREiVK2O0TV3L2WH/69GkdPHjQJm3gwIEqV66cU/UWL17cdEEDXKtWrVrq1KmT29tws/wer7Zt22a6cOCBBx5weiX6ChUqOB1ElheFbZzI+r6eP39ep0+fzjFP1vlxcHCwQ3eQy2rkyJFOXwAaFxdnClrt1auXQ3ePycrKnD47gYGBpgtKHbFw4UKb7Vq1amU7BuWmWLFipvEvu3HKU/vRWVn337S0tByDmvND1vfwzjvvVPXq1S2VVblyZdPdjbJ7D2/VMbxSpUrq27evU3m8vLzsnqPmdIGHdP28L+v3p46u4r59+3bToh6jRo1yKjA/L8aOHaudO3dq0KBBTuc9ffq0Jk+erDp16mjcuHGKiYlxKF/WfT0gIEDDhg1zun7p+nvWp08fm7Sc5upZ75Tj5eWlF154wVLdBc1V5801atRQr169bNKioqIsLS7jzuM2AADArcrX3Q0AAAAAgMLCSuBD1apVTStqduzY0akyQkJCFBAQYLNinaM/kmR17tw5bd68WXv37tWRI0d09epVxcbG6tq1a3ZvpXvx4kWb7dx+kM9O27ZtLf0YVaNGDR06dChz++rVq5bq9xTu6v+aNWta+kE9P8THx2v9+vXau3evDh48qKioKMXGxiohIcHmdsw3P/9mycnJunTpktOvp1ixYpaC32rUqGGznZ6ervj4eKdXEPRU9m7t7uxtta3uX1mDt7y8vJxevf2G/v37a/Xq1ZbyZhUVFaUNGzZo3759+vvvvxUdHa24uDglJCTY7ZusAWJnzpyxVG+NGjUs3WUh6z7q7uNkUlKSBg4cqP3799uk9+vXz7SapTMMw1BYWJjCwsK0b98+nT17VnFxcYqNjc32opes743VY2hBSk9P17Zt22zS6tatawpUd9Q999xjWr1006ZNGjJkiMNlFNQY3qZNG/3yyy+Z2/PmzVO7du00ZswYu8eqW4WVYLusn3up4D77d9xxh4oUKWLzuVu3bp0MwzC9T1euXNG+ffsytwMCArK9k0rWfshuVfgdO3YoISHBbpuckd9zMnsBys587rLmc3blXzjO3l0F8spdc35HuXr/zBqYl1/cPU4kJydr48aN2rNnj/bv36+IiAjFxsYqPj5e6enppuenpKSY0k6fPp3t3XqSkpK0Z88em7Ru3bpZWiW/UqVKatasmVN39tm+fbvpfMzZYNib83l5eTl9XmFPmzZtnL74Qro+Nt3s5juFWJE1sHr37t12n+ep/Zienq4tW7bor7/+0r59+3ThwgXFxcUpLi5OaWlpDpVRkHPp5ORk05z4jjvuyFOZ1atXt/l+Lrv38FYdwwcMGGDpzmdDhgzRE088YZOW24VYQUFBeuCBB/TVV19lpi1cuFCffPKJ6Q5kWX355Zc2297e3qb681vDhg21ZMkSHTp0SHPnztVPP/2kY8eOOZw/NTVVn332mVauXKlffvlF9evXz/H5WY9XzZs3l7+/v6W2S44fr2JjY02PtWvXTjVr1rRcd0Gyd9Gr1e+U7r33XtMq+ps2bVKbNm0cLqNYsWJq27atpfoBAACQPQLcAQAAANjVuXPnHFd4cdTatWvtrvRYGFn5gv/m21hL17/srlixoqVybg5wdzaIaeHChfriiy+0bt06u0HEjrIaWJ919S9HBQUF2Wy7O3DTKnf3f/PmzS3X6SphYWGaOnWqli5d6vQK4VnFxMQ4HVBdtWpVS7ejz7oPStf3w/wKcC9WrJgpqD8/93t7+1Tx4sWdKsPq/nVz0KN0/TiR9ZjpKFfcAvr//u//9Mknn2j16tWW7xIgXV/d0MpFELfCcTIjI0MjRoww3X6+devWmj9/vnx9nf8q8urVq/rwww/13Xff6dSpU3lqn9VjaEE6fPiwKXi3ZcuWlstr1aqVKW3Xrl1OBekU1L75yCOP2AQuGoahp556Sl988YUeeeQRDRo0qNAEWzjDSv9mNzYVhBurpd8cUBIZGan9+/ebVka9Efh+wx133CEfHx+75bZu3VrFihXLnCPcCGTPuvqnvfMTZ841CmpOZi+oNLvg/tw0bdpUPj4+dgNoC4uqVasqPDzc3c2wy5XzZHfP+R2Vdf/09fVVkyZNLJVldb+2wl3jxLFjxzRlyhQtXLgwz8fanN7bQ4cOmeagedk/nQ1wzzo3z0v9gYGBqlGjhlMBodmx0obz58+bjjmrVq1S06ZNLbcj64UokZGRdp/naf148eJFTZkyRT/++KPTd/HJqiDn0mFhYUpKSrJJ+/bbb7VkyRLLZWYN0M/uPbxVx3CrryE0NFSVK1e2uZDbkWPL008/bRPgnpKSom+//VYvv/xytnmio6P1008/2aT16tXL8sr9eVW3bl298847euedd3T27Flt2LBBW7du1e7du/XXX3/ZfE9rz7Fjx9S5c2ft3LlTVatWtfuc9PR00wUDe/fuzdPxKuuF3levXlVqaqrpO7Ht27eb9s28XkhSUBISEkx3WGzWrFm25xq5ye682RmNGze2XD8AAACyR4A7AAAAADgoODjY6TxZfzywUoa9chwNvjx//rwefPBB063OrbL6g35ISIilfFZft6fwlP4vW7asS+q3IjU1Vc8995y+/PLLPAX63MxKP7hqH5Tydz8MDg42BbjnZyCBvbKdPU5Z3b+ioqJstqtVq2apHMm8QpkzYmNj9dhjj2n+/PmWy8jKykUQrtpHHV2BMT88/fTTWrx4sU1a7dq1tWLFCqcvnJCkX375RU888USeg3FuKAwXSdkLtKlXr57l8uytFphdME92CmoMHzRokAYPHmwKXDpw4IBeeOEFvfDCC6pcubI6dOigVq1aqX379mrRooWlCyc8iZX+LeixKauuXbuaVkxcs2aNKcA96yrsOa2U7efnp7Zt22bmSU1N1aZNm9SzZ88cy7zRntwU9Jzs8uXLNtu+vr52V953RLFixVSlShWdPHnSUn7kzBXzZE+Z8zsq6/5ZpUoVyyvF1qpVq8CCN90xTrz11luaPHmykpOT89j663J6b7POjaWCnR/nR/2uCHC38hk9e/asKe3SpUsum1NK9vsru3R39ePXX3+tF198UbGxsZbrv1lBzqXtvYdnzpyxfLcse7J7D2/VMbxOnTqW89atW9em7yMjI+3evedmDRs2VOfOnW1WJ//qq6/00ksvZZtv9uzZpgURxowZY7ndrnTbbbdp+PDhGj58uKTrF1n9/fff2rBhg5YsWaI//vjD7rl4ZGSk7r77bm3fvt3u646KijJdzBEdHa3o6GiXtv/KlSsqV66cTZq9Y2LW+bynioqKMt3dIi/nzXXr1pW3t7fN95bOnje787tXAACAW5nz96ECAAAAgH8oK6s/50cZjjp37pw6d+7sskALyXrgZEG+bk/hSf0fGBjosjY4IzU1Vffcc48+//xzlwW33yjXWYVlH7S3Mv358+fzrb4LFy441IacWN2/sv5ga29FYkdZzRsbG6tevXq5NLhdurX30ey88847ptvJly9fXqtWrVJoaKjT5X3//fcaOnSoSwORCsNFUvYCGUqVKmW5PHsXrGRd0S83Bblvzps3TyNGjMj28TNnzuiHH37Q+PHj1bZtWwUHB2vIkCGaP3++y4IPC1ph/OzbCyi3F3iedbX1zp0751hu1sezlpmamqrNmzfbpAUEBOS6Iqk75mRZLyALCAjIMQgsN3kZI5GzvM6TPWnO76is+2de9i8vLy/Ld+CxoiDHiaeeekqTJk1y6fiS01zE3hygIOfH7q4/O1Y+o9kFLrtS1oDUGzylHz/44AM98cQTLgtulwp2Ll0Q72F2d5a7VcdwV+6H6enpua5eLl0/jt7s5MmTWr16dbbPv3nFd+n6BVj9+vVzoqUFx8vLS/Xr19cTTzyhX3/9VSdOnNAjjzxi97k7d+7Uzz//bPexgtjXJfv7u73zQqsLsxQ0V583e3t7m8YbZ8+b3fXdKwAAwK2OAHcAAAAAuEWNHDnS7kpfTZs21SuvvKLFixdr165dunjxomJjY5WSkiLDMGz+Jk2a5IaW3xo8qf/dtbrt+++/r19++cWUXqlSJY0dO1Zz587Vli1bdObMGcXExCgpKcnUB/YC5m5l9lZV27lzZ77UlZGRYfeWy86u7GZ1/8oaLOTn52epHEkqWrSopXzjx4833Q5cur4a6XPPPaf58+dr+/btOn/+vK5evark5GTTPjpr1izL7b5VfPvtt3r99ddt0gICAvTrr79aWl3/+PHjGjVqlGk12CJFiuiuu+7Sxx9/rD/++EOHDx/WlStXlJCQoIyMDNN7k91t4D2ZvUCREiVKWC7PXl5HglHcpXjx4po3b55Wr16tLl265BpMFB8fr8WLF2vYsGGqUaOGvvrqK9NKfnC99u3bm46769evt+n7qKgo7d+/P3O7ZMmSatmyZY7lZg1wzxogv2PHDiUkJNikdezYMddxyB1zsqyfs7x8jl2RH9nL6zzZk+b8jirM+2dBjRNz587VF198YUoPCQnRo48+qm+//VYbNmxQeHi4oqOjde3aNdP76uyKzfYC6Qtyfuzu+rNj5TPq6pWPneEJ/bhx40a9/PLLpvQSJUpoxIgR+uKLL7R27VodO3ZM0dHRSkxMtDuXdid3voeF+RiZE3ecU9x1112qVKmSTVrWi6Jv+PPPP3X48GGbtMcff1ze3oUjnKVy5cr69ttvNWvWLLtj08yZM+3mc+e+bu8CGGfvROcurj5vtpff2fPmwn5nMQAAAE/FLAsAAAAAbkErVqzQH3/8YZNWtmxZfffdd+rZs6fD5WS3ohVyRv9fv633e++9Z5Pm6+urqVOn6umnn3b4h5/C3AdWNG/eXLNnz7ZJy68A98OHD9v9wa558+b5Ul9WQUFBNquV5SXo1srKhPv27dO3335rk1ayZElNnz5dI0aMcHiVvn/aPprVihUr9MQTT9ik+fn5afHixWratKmlMidMmGAKDurdu7e+/fZbVahQweFyCuN7Y28V3KwBvc6wl7cgV9q1qmfPnurZs6dOnTql5cuXa926ddq0aVOOd7Q4d+6cnnzySa1YsUILFy7MUzAZcubv76+2bdtq3bp1mWlXrlzRnj17Mj/3a9eutQmOa9++fa5jf9u2bVW0aNHMz//OnTsVHx+fGWhj76I3e6vJ38xdc7Ksn7O8fI5dkR/5o7DO+W+F/TM/x4nU1FS99NJLpvQJEyZo4sSJKlasmENtdPZ9tbe6ckHOj7Or3+pqvq5cOdxZ9t6jl19+WVOmTMn3uj2hH5977jlT2siRI/Xxxx87vMKxu+fR9t7DL7/8Uk8++WS+130rHCPtccc5ha+vr5544glNnDgxM23FihU6c+aMKleubPPcrIHvRYoU0aOPPmqxxe4zcuRIbdmyRV9//bVN+oYNG5SSkmIae+zt68OGDdOPP/6Yr+2U7K84Hh8fn+/1uoKrz5vt5S8M580AAAD/BIXjklcAAAAAyIOCvI2yp/jhhx9stn18fLRs2TKnAi0k52/Hiuvof2np0qVKTEy0SXv//ff1r3/9y6lVjQpzH1jRpUsXU9qlS5e0e/dul9dl79bg5cqVU/369V1elz1ZgzzycmtuK3l/+ukn08qEc+bM0f333+/ULej/afvozbZt26Z7771XaWlpmWleXl6aPXu2unXrZqnMhIQELVu2zCatefPmWrp0qVPB7ZJ7V8Ozyl7wU0xMjOXy7OUNCQmxXF5Bq1q1qp566inNnz9f586d06lTpzR37lw9/vjjuu222+zmWbZsmZ566qkCbuk/j73A8ptXXM+6+rq98S0rf39/tW7dOnM7LS1NGzduzLbM7NpxM3fNybIGEMbFxeVpNdyrV69azov8U1jn/Fn3z7zsX4ZhuPXOIPkxTqxbt04XLlywSXvmmWf03nvvORzcLjn/vtqbAxTk/Njd9btSaGioKa2gPmfu7sdjx46ZLpAeMGCAZs2a5XBwu+T+cxx3voe36hiel3Zkzevj4+Nw8O/jjz9uE9Sdnp5uCv6+ePGilixZYpM2ePBglS9f3lqD3ezZZ581pSUmJurs2bOmdHfu66VLlzalFZZzaFefN2dkZJguKCpM580AAAC3MgLcAQAAAHikIkWKmNKsBqq7+4c5d/j9999ttnv37m0TMOSoEydOuKpJ/yj0v7kPgoOD9cwzzzhdTmHuAysaNWqkqlWrmtKzu511XnzzzTemtL59+zoV3J0XWVdsO3DggOWy9u7d63SerPtogwYNNGTIEKfL+aftozccOXJE/fv3N13I8uGHH2r48OGWy12/fr1p9fZXXnnF7rwgJ2fOnCmUF7iVKVPGlPb3339bLu/gwYOmNHtBFIVFlSpVdP/99+urr77SmTNntGbNGruBpN98802ejinInb3A8ptXWM8ajN65c2eHys36vBtlpqamavPmzTaPlSpVSs2aNcuxPHfNycqWLWuznZaWpuPHjztdr3R9Fd3Tp09byov8VVjn/Fn3z9OnTyspKclSWUePHlV6erormuUSrhgnsr6vPj4+evXVV51ui7Pva9a5sXT9jkNWOTs/dmX9hmFo//79lvK6Qrly5Uxpp06dKpC63d2PWfdfSTarZzvK3ec47nwPb9Ux/MiRI5bzHj582GY7NDTU4e8NypUrp7vvvtsm7ZtvvrG5SHrmzJk225I0ZswYi611vwYNGqhEiRKm9MjISFNamTJlTH1ZUPu6vQsIrHy34g729sG8nDcfPnxYGRkZpjoAAADgfgS4AwAAAPBI9m6TauXWzGfPnrX8Y31hlZycrMuXL9ukdezY0ely0tPTtX37dlc16x+D/r/uzJkzNttt2rRxOkBVkrZs2eKqJhUaI0eONKV9//33lo6B2dm4caPdYIlHHnnEZXXkJmsAWExMjOUfJLdu3ep0nqz7qJXPqfTP3EcvXLigXr16mX6gHz9+vMaPH5+nsrO+L5K196awvi+1a9dWyZIlbdKyrsLpjB07dpjSWrRoYbk8T9OlSxetXr1ajz/+uE26YRhavHixm1r1z9C2bVvTSsYbNmxQRkaGIiMjbQJHixcvrlatWjlUbtYA9xuB8tu3bzddUNOpUyd5e2f/E4c752T2PmdhYWFO1y1Jf/31l0cFEOO6wjznz7p/pqWlac+ePZbKsrpfFxQr40TWuUitWrXsBtvmxtm5SJUqVUzBhlbmuNL1lWjtzQFyYu/iDKv1Hzx40KXnLs6qWbOmaeXdzZs3F8ix1N39mHX/9ff3V8uWLZ2u291z6ZYtW5rG+PXr1xdI3bfqGG71NURGRpqC9J09n8h614wLFy5krthub0X3unXr5nqXHk9n73tte3cz9Pf3V5MmTWzSjhw5okuXLuVb225o1aqVqU2bNm3K93pdoXjx4qpTp45NWl4+b7f6eTMAAEBhRoA7AAAAAI9k79bJVlaQWrdunQtaU7jYu4W1lduqrly5UvHx8a5oUqFg74cmKz+M0P/XZQ18tdIHkZGRNqvB/lM8/vjj8vf3t0mLiYnRhAkTXFJ+Wlqa3dX0mzdvbjnI24p27dqZ0r7//nuny8nIyNCPP/7odD5X7KP79u3L0yphhVFsbKz69Omj8PBwm/Thw4frww8/zHP59la1s/Le/PTTT5bqd9VYYJWPj48pMOrQoUOWVyNfsGCBKa19+/aWyvJkkydPlo+Pj01aYVl9sLDy8/Mz7UvR0dH666+/tHbtWhmGkZnevn17hy9yy/rcsLAwxcXF2Z0P5Bb45M45Wdu2bU1pVi+6WLRokaV8yF+Fec7/T9w/nRknXDFHTE1NzQzedEbW92b79u2WVo7+448/nA6OrFOnjum1/vjjjzbHc0fNmzfP6Tyu5O3trW7dutmkxcfH67fffsv3ut3dj67YfyVp/vz5lvK5ai4dEhJiCi49dOiQ3bsTudqteoxcunSpaYVqR9h7Dfb6KCft27c33XXnyy+/lCStWLHCdGHGk08+6WQrPcuNCz6zyu5iqR49epjSCmLfCQgIUPPmzW3Stm7dqmPHjuVbna483856LhIfH69Vq1ZZKuufct4MAABQGBHgDgAAAMAjVapUyXQ7Vysr22VdBeifwNHb4Obmo48+ckVzCo2AgABTmpVgE/r/uqz9YKUPPv/883/cHRgkqWLFiho7dqwpffr06S5Zte6DDz7QX3/9ZUp/991381y2M3r27Kng4GCbtBkzZujq1atOlfPDDz/o7NmzTtfvin20sH9OnZWSkqK77rrLtMpr9+7dNXv2bIdvU58TVxxDjx8/rl9++cVS/a4aC/KiV69eprTp06c7Xc6GDRtMd2po3LixpVVoPV3p0qVVpkwZmzRnjyVwnr0A87Vr12auun5Dly5dHC4z62rv6enp2rBhg6nM7Oq/mTvnZFWqVFH9+vVt0n755RfTit+5uXbtmubOnet0/ch/hXnO36ZNG1PQ63fffef0vPvixYtatmyZK5uWb5wZJ1wxR/z+++914cIFp/MNGzbMlDZ16lSny7GSx8vLS/fcc49N2unTp52+aDA6OlozZ850un5XGzRokCntvffey/d63d2PWfff6Ohop4Oa161bZ3m1b1fOpe29h1OmTLFUljNu1TH83Llz+vXXX53O980335jS+vTp43Q5Tz/9tM32mjVrdOTIEdN5TvHixfXwww87Xb4n2bBhg1JTU23SSpQoke15mL19/cMPP1RaWlq+tO9md911l822YRiWxhBHufIY4arz5pMnT5oC40NDQ03B/wAAAHAPAtwBAAAAeCRvb2/T6j4rV650Klhp6dKlBXYLY08SFBSk4sWL26Q5u1LZzJkz7QYS3cqyBtpK1u4aQP9fV6FCBZvtzZs3KyEhweH8Bw4cKJAABE/1xhtvqEqVKjZphmFo8ODBloMNJGn27Nl6/fXXTen33nuvevfubblcK4oVK2b64frSpUt6/vnnHS7j4sWLTj3/Zln30T/++MOp4I8//vhDc+bMsVR3YWQYhh566CH9+eefNulNmzbVokWL5Ofn55J6sr4vknPH0IyMDI0aNcryKnCuGgvyYtSoUaa7OEyfPt2pFcmzu1ODvbRbQVJSkqKjo23SsgYywvXsBZivWbPGNIfp3LmzU+Vmff7q1au1ZcsWm7TSpUurcePGOZbj7jlZ1tVHk5KS9NJLLzlVxrvvvquLFy9aqh/5y937V14ULVpUI0eOtEk7f/6804GjL7zwgpKTk13YsvzjzDiRdS5y5MgR051rcnLp0iW98MILTrdRkoYMGWIKgJwxY4ZT32vMnj1bf/zxh6X6x4wZY0obP368U4G9zz33nCIiIizV70rDhg1TzZo1bdI2bNigjz/+ON/rdmc/Zt1/r127pg0bNjicPzExUY8//rjT9d7gyrn0008/bbq749y5cy2vpu6MW3UMf+GFF0yB1zn57rvvTIuNtGjRQi1btnS67uHDh9tcXGUYhiZMmKDVq1fbPO++++6ze1fP/HTy5EktX77cZeXZ+y6rV69edlcvl6Q77rjDdEHoiRMnLH/X4YwxY8YoMDDQJm3GjBn5dseLgIAAUz9YPUbcddddpmPe8uXLnb6Q45lnnjFdTPDEE084fAcqAAAA5C8C3AEAAAB4rKwrAiUmJuq1115zKO/evXv1yCOP5EezCoUOHTrYbK9du1YrV650KO+qVav07LPP5kezPFrlypUVFBRkk+Zon2VF/0sdO3a02Y6Pj9ebb77pUN7w8HANHDiw0ATM5IeAgADNnTvX9INadHS0evTo4fQPdhkZGfrkk0/06KOPmoK4q1Wrpi+++CLPbbZi/PjxKlmypE3aN998o5dffjnXYPNz586pW7duunTpkqW6s+6jJ06ccHi1r127dmn48OEyDMNS3YXR+PHjTStPVq9eXb/++qvdVdisyvq+SNI777yj2NjYXPNmZGToiSeeyNPFba4cC6wKDQ3VQw89ZJOWlpamoUOHOrQarGEYGj16tGml/bJly+qBBx5waVtd5dixY3r77bctB8R99dVXpjGjSZMmrmgactCqVSvTSrFr1qzRwYMHM7eLFSum1q1bO1Vu1gD3b7/9VomJiabnOHLXCHfOyR566CFTgNacOXMcHmsWL16s999/33L9yH+Fec4/ZswY0zzz3XffdTjA77PPPtO8efPyo2l2FeQ4YW8u8vLLLztUT1RUlPr3729p1XdJ8vPzM9WVkZGhgQMHatOmTbnmnz9/fp6Ck5s0aaKBAwfapF24cEHdu3fX+fPnc8ybnp6u559/3mMuAPX19bV7/vnSSy/pq6++slzu5s2bNWLEiByf485+tLf/vvrqqw4FNV+7dk333HOPjhw5YqluSWrYsKEpzepcOigoSC+++KJN2o2Lbq3erUmSfv31V7sXIdzsVh3DDx06pNGjRzt0Hrtr1y7TquuSLI9dxYoV06OPPmqTtnjxYtN5f9aLCwrCpUuXNGDAALVo0UKLFy+2fLG0YRh68cUXTUH7knI9brzzzjumue1nn32mSZMmWf7eYf/+/XrooYdMF3jdLCgoSOPGjbNJMwxDw4YNs3QR3uXLl03z9pt5e3ub7pCwevVqp+80IUlFihSxewH3Qw89ZHM+kpOJEydqxYoVNmn+/v5276oIAAAA9yDAHQAAAIDHGjlypHx8fGzSpk2bpkmTJmV7m9b09HTNnDlTHTp00JUrV+Tl5eWyVWULk3vvvdeUNmzYMC1cuDDbPNeuXdNbb72lQYMG6dq1a5JkWsXnVubl5aV27drZpP3xxx965ZVXnL4VNf0vDR06VN7etl87TJ06Va+//nqOt1n+4Ycf1K5du8wVnApzH+RVx44d9fXXX5t+5IyOjlbfvn1177335vqjnWEYWr9+vdq1a6fnnnvO9KNhSEiIli1bptKlS7u8/Y6oXLmyPvjgA1P6Bx98oNatW2vRokWmH0fDw8M1efJk1atXL/P1Z/3sOsLe53TcuHH64osvsv0BOT09XZ9//rm6du2aGbj0T9hHv/jiC33yySc2aaGhoVq1apXKly/v0roqVKhgChg8duyYevXqpVOnTmWb7/Dhw+rdu7dmzpwp6XpQU9aVdR3hyrEgL9577z1VqlTJJu3YsWO64447clyV9dy5cxo0aJDdoKivv/7atDK8p4iPj9fEiRNVpUoVPfDAA1q8eHHmWJiTlJQUffjhh6bgJx8fH91333351Vz8P0WKFDF9XhMSEmyOoe3atXN6Ln7HHXfYrOwYHx9veo691ePtceecLCgoyO5KwWPHjtWECROUlJRkN19aWpree+893XfffZlzpmLFijldP/JfYZ7z16xZU//+979t0tLS0nT33Xfrww8/zDa4LzExUc8//7z+9a9/Sbo+bhYtWjS/m1ug40Tv3r1NF+/Nnz9fo0ePzvGOVL/99pvatWunnTt3SrL+vo4bN840F7l69ao6deqkMWPGmO7mlJ6ernXr1umee+7RsGHDMgOZrcyPJenLL780Bfbu27dP9erV05QpU0zzscTERP38889q1aqVPvroI0nXx4cWLVpYqt+VRowYYVr4IC0tTU8++aSGDh3q8N1xzp49q08//VRt27bVHXfcoaVLl+aax1392Lp1a1WtWtUmbdOmTRoyZEiOF17s2LFDnTp1ygxGt7r/hoSEqG7dujZps2bN0scff+zUHRlveOmll9S9e3ebtPj4eN111116/PHHHV75+ejRo5o8ebIaNmyovn375rqq/a04ht84D/jf//6nwYMH53jh7Lx589S9e3fTRcZdu3bVgw8+aLkNY8eONX1PdLMWLVqoVatWlsvPq127dmnIkCG67bbbNH78eO3cudPhwOvNmzera9eu+vDDD02Pde3aVUOHDs0x/x133KFJkyaZ0t966y3deeedDt+JISoqSjNnzlSPHj3UuHFjfffdd7kG7L/++utq27atTVpMTIx69eqlCRMm5Bggf8P27ds1duxYVatWLdfz5vbt29tsHz58WKNHj87xfD87zz//vJo2bWqTFhkZqS5dupgu0L9ZTEyMRo8erbffftv02Pvvv6+KFSs63RYAAADkD/v3QQIAAAAAD1CxYkU988wzpqC6t956S/PmzdPQoUNVr149FS9eXFFRUdq3b59WrFih06dPZz735Zdf1g8//GDpS/LC7KGHHtJ7772n48ePZ6bFx8frnnvuUfPmzTVgwADVrFlTRYoU0eXLlxUWFqbly5crKioq8/kNGjRQ//79PXLVqfwyatQorVq1yiZtypQpmjJliipUqKCQkBDTrXQHDhyot956yyaN/pdq166tBx54QP/73/9s0t955x3Nnj1bd999txo3bqySJUvqypUrOnz4sJYuXWrTZ8WLF9f777+f6+pqt7KRI0dKkh577DHThQELFizQggULVK9ePfXq1UuVK1dW+fLllZaWpgsXLujEiRNatmxZtj9cly9fXqtWrbK7yl5BevLJJ7V582bNnTvXJj0sLExDhw5VkSJFVK5cOQUEBOjy5cs2nxNJKlWqlGbPnq06derYpGe9QCqrbt26qVOnTjarfaelpempp57Sp59+qrvuukv169dXsWLFFBERof379+uXX36xWXWxXLlyev75552+XX1hk/W29NL1ldfsBfY546233jKtbilJb775prp162aTtnXrVtWuXVuDBg1Shw4dVL58eSUlJencuXP6/ffftWHDBpvPyMSJE/XNN99YGv9dNRbkRUhIiL777jv17NnT5nWdPHlSPXr0yBxLqlWrJn9/f124cEHr16/XqlWr7AbcPPXUUxo0aJDL2pdfkpKSNG/ePM2bN0/FihVT06ZN1axZM9WqVUulSpVSQECAkpOTdfHiRe3Zs0erVq2yG0AxYcIEVa5c2Q2v4J+na9eudlepvKFLly5Ol1myZEk1b97c7rHn5nod4e452ciRI7V48WKbYEjDMPT+++/rm2++0ZAhQ9SkSROFhoYqOjpaBw4c0M8//2wz1vTv319xcXFat26d0/Ujf7l7/8qrV199VcuXL7cJmE5OTtaLL76oTz/9NPN8Ozg4WBEREdq9e7cWL16sK1euZD7/qaee0rJlywrsfLsgxong4GA999xzpnH9m2++0ZIlSzLf3+DgYMXExOjEiRNavny59u3bl/lcHx8fffrpp5buKuft7a158+apU6dOOnv2bGZ6RkaGpk+frunTpysgIEDly5dXenq6Lly4YAr279evn4YOHaotW7bYpOc2P5aufw8zd+5cDRkyRCkpKZnpsbGxeuWVV/TKK68oNDRUZcqUUVxcnC5dumRaHfzdd9/VgQMHbPYtR+rOD9OnT9exY8dMwaGLFi3SokWL1KRJE3Xu3Fm1atVS6dKl5e3trZiYGEVFRWn//v0KCwvT0aNHnV5B2V396OPjo0mTJmnUqFE26cuXL1e1atU0dOhQtW3bVqGhoYqPj9fp06f166+/avv27Tavcdq0aaY7Cjlq1KhRNudH6enpGj9+vJ5//nnddtttCgoKMr2OJ5980u7K3b6+vpo/f77at2+vQ4cOZaYbhqEZM2bo22+/VcuWLdWpUydVr15dISEhysjIUExMjCIiIrR3716FhYUpPDzc6ddxq43hb731Vub7snTpUv3+++/q27evOnTooAoVKighIUHHjh3T4sWLbfr6hlKlSmnmzJkO3UEnO9WqVVPfvn2zvVuIp3z3c/HiRX388cf6+OOPFRAQoFatWqlly5YqX768SpcurRIlSig+Pl4RERE6cOCA1q1bp5MnT9otq0KFCpoxY4ZD9U6cOFGHDh3Sjz/+aJO+du1aderUSbVr11aXLl3UoEEDhYSEqGjRooqJiVF0dLQOHjyosLAw/f33306vQF+kSBEtWLBArVu3tvn+KCUlRe+//74+++wzde7cWR07dlT58uUVGBiYedz666+/tHnzZp05c8bh+kaNGmW6G8KsWbM0a9YslSlTRmXKlDHdZaZly5aZF7PfzM/PT99//71at25tc1FsRESE7rvvPr3xxhsaPHiwatasqYCAAF26dEnbtm3T0qVLFRcXZyqvX79+dleFBwAAgBsZAAAAAP7xTp48aUiy+evcubNLyl6zZo2p7Icfftjh/AkJCUaDBg1MZTjyN2zYMCM9Pd2oWrWq0/XPmjXLVN7Jkyedfv0PP/ywTRlVq1Z1ugzDMCy9hl27dhnFixe31HeVKlUyTp48aUyaNMn0mCOy5pk0aZKl122l/+ztz7NmzXKovvT0dKNbt25O9VV278Wt0P83WO3TmJgYo27dupb6oEiRIsaKFSvsHkPWrFmTa92dO3d2yTHNVceCvFq/fr1RuXJlS31p769jx47GuXPnLLXF1fuXYVz/7GX9vDvyV6pUKWPDhg1Gamqq6bFPPvkk13pPnTpllCtXzlIfBgYGGjt37rS8j1g5rttTEMcJK++NI385HUcmTJhgudwHHnjAyMjIsNzHrhwL8noMWbFihVGiRIk89fMzzzxjpKenO1ynqz7jzozhu3fvdtl+NWzYMCMlJcVSmx1ldVx05Zjiqvcpr7Zt25bj+7Fu3TpL5b744ovZllm2bFmnynLnnMwwDCMxMdG48847LdVft25d48qVK5bnNe7aT7LWa/UcyJk6HHltVueVOXH3/pVXERERRqNGjSy1v2PHjkZSUpKl8dbZ42hBjxMpKSlGp06dLJXv5eVlfPXVV3k6LzUMwzh+/Lipbx3569KlixEXF2fMmDHD9FhMTIzD9S9fvtzw9/d3uv7nn3/eMAzDuP/++23SmzZtmmudee2z7Fy7ds0YNWqUy/ahEiVKOFy3O/rRMAxj+PDhll/fq6++ahiG9THEyvd4uZV95coVo1+/fi57Dxs0aODQa3HnGJ4X2c05c5pf5fQXFBRkbN++3SVtW7VqVbZ1JCQkuKQOZ23ZssVl+9bNf9WqVTOOHj3qVFvS09ONV1991fDy8nJZOyIiIhyq+/Tp00aTJk3yXJ8j5zcjR450qszcPjc7duwwypYtm6d2DxkyxLh27ZpDfWUYrvtOBwAAADnL/h5QAAAAAOABihcvrnXr1ql169YO5/Hy8tILL7yg77//Psdb397qmjVrptWrV6tChQpO5Wvbtq22bt2qatWq5U/DPJi3t7cWLlyoESNG5Lks+v/6bb3/+OMP062Oc1OxYkX98ccf6tu3bz61rPDp2LGjDh48qJdfflklS5a0XE7lypX19ddfa926dR51y2Vvb2/Nnj1b33//vcqXL+9Qnq5du2r79u3q0KGD3VtmBwUF5VpGlSpV9Oeff5pWf89NnTp1tHnzZrVo0cKpfHDc5MmT9dprrzm1QqCPj4/+/e9/a86cOXlaWdCVY0Fe9e3bV+vXr1fLli2dzlu6dGl9+eWX+uyzzzx+PlS8eHEFBATkqYySJUvqvffe0w8//GBa8Q/5p0WLFgoMDLT7mL+/v9q0aWOp3M6dO2f7mLOrwrt7TlasWDEtW7bMtJpubjp06KD169crODg4T/Ujf7l7/8qr0NBQ/fnnn3bvqJKTIUOGaNWqVSpatGg+tcxWQY8TRYoU0dKlS9W/f3+n6ihVqpTmz5+vxx9/PC9NlSTdfvvt2rNnj5566imHxvGiRYvq1Vdf1erVq1WyZEnT/NjLy8upPuzXr5/27t2r7t27O/T8cuXKad68efrwww8lyVS/I3Pz/OLv769vvvlGc+fO1e23356nssqWLauxY8c6/Hx39eOsWbP06KOPOtxO6Xo//fe//9U777zjVL6sihcvrtWrV6tHjx55KudmwcHBWrZsmT755BOVK1cuT2VVrVrV4bsr3Gpj+AcffKA333zTqTsqNGjQQH/++adatWrlkjb07NlTtWvXNqU//PDDKl68uEvqcFbt2rX1yiuvqG7dui4pz8/PTxMmTND+/ftVs2ZNp/J6e3vrnXfe0cqVK9WkSZM8tSMoKEijR492+DukypUra9OmTXrmmWcsj++BgYHy9/fP9XnTp0/XuHHjXHae2rJlS23ZssXhY+3NSpQooTfffFMLFixwqO0AAAAoWJ79ywYAAAAA6HqA1qZNm/Tll1+qRo0a2T7Px8dHffr00aZNmzR16lSPD+YqCB06dNCePXv00ksvqVSpUjk+t2XLlpozZ442bdqk2267rWAa6IFKlSqlefPm6dChQ3rjjTfUv39/1ahRQ8HBwU4HzNH/UqVKlbR+/XpNmzYt12CCqlWr6u2339ahQ4fUqVOnAmph4VGyZElNmTJFp06d0qeffqoOHTo4tE+WLFlSAwcO1A8//KDjx4/rsccey1Pwb34aPny4jh8/rp9++knDhg1T/fr1FRwcLF9fX4WEhKhly5YaN26cNm/erD///FO1atWSdP0W4lmFhIQ4VGf9+vW1c+dOvfvuu7kG19erV0+fffaZ9u7dqwYNGjj/AuEwLy8vvf3229q4caP69OmT45hevHhxjRgxQmFhYXr33XddMv67cizIq+bNm2v79u366aef1L1791yDDerXr6+JEyfq+PHjevLJJwuolXlTu3ZtRUZG6rffftP48ePVpk0b+fn5OZS3Xr16evPNN3X06FFNmDDBY49vtyofHx917NjR7mNt27a1HBzToUOHbIOvunbtaqk8d87Jihcvrm+++UZr165Vr1695Ovrm+1z69evr5kzZ2rdunUqU6aMS+pH/nL3/pVXoaGh+uWXX/Tzzz+rQ4cOOR5H27Rpo59//lk///xzgQYiumOcCAoK0tKlSzVv3jw1btw4x+eWLVtWL774og4fPqy7777bofIdbcO0adN07NgxffDBB+rSpYuqV6+uYsWKyd/fX7fddpt69eqlqVOn6tSpU3rnnXcy+yXr/LhUqVJOz5Fq1aql33//Xdu3b9eLL76oVq1aqWLFiipSpIhKlCihWrVq6Z577tGcOXMUHh5uc3Fg1vodnZvnp/vvv19HjhzRvHnz1KdPH4cD/uvXr69nn31WK1eu1Llz5/TBBx84Va87+rFo0aKaOXOmVqxYoTvuuCPH5wYFBemJJ57QgQMH9PTTTzv12rJTqVIl/fbbbwoLC9OECRPUq1cvVatWTaVKlcpxDMyJl5eXxo0bp/DwcH3xxRfq2rWrQ8Go3t7eat68uV566SWtXbtWJ0+e1PPPP+9wvbfaGD5x4kRt27ZNgwYNyvG8pk6dOvrggw+0e/duNW/e3GX1e3l52S3PnectISEhmjx5sv7++28dPnxYn3/+uYYPH67KlSs7XIa/v786duyoadOm6ezZs3rvvfdUokQJy23q3bu3/vrrLy1btkxDhgxx+LN/++2367HHHtPChQt14cIFzZgxw6mg7RIlSuizzz7T0aNH9dxzz2V+55KT4sWLq0+fPpoxY4bOnz/v0KIFRYsW1SeffKLw8HB98MEHGjJkiOrUqaPSpUs7PL5ndfvtt+v333/Xb7/9pgEDBuTa/7fffruee+45HTt2TBMnTuR3BAAAAA/lZRiG4e5GAAAAAIAzjhw5orCwMF2+fFlxcXEKCAhQjRo11L59e4/40dRTpaena+fOnTpw4IAiIyOVlpamgIAAVa9eXS1btnR41WRYQ/9fd/jwYe3YsUMRERFKSEhQiRIldNttt6lx48ZOr6IN6dq1a9qzZ4+OHz+uy5cvKzExUV5eXipZsqQqVqyo2rVrq0GDBk6t0FYYzZgxw7RS5vHjx51eodEwDO3du1d//fWXIiMjde3aNQUEBKhq1apq2rSp21dZ/SeLiYnRxo0bdfr0aUVHR8vX11ehoaGqU6eOWrVqVWAryHqChIQEbd26VRcuXNDly5eVkpKi0NBQlS1bVs2aNXMqEMOTJScn69ixYzp+/LjOnz+vuLg4JScnq3jx4goKClK1atXUpEkThYaGurupKGQ8YU4WFRWlzZs36/z584qMjJS/v78qV66sFi1a5HhBLzyfJ+xfeXXu3Dlt375d58+fV3R0tEqUKKFq1aqpdevWqlSpkrubl6mgx4nTp09ry5YtunTpkmJjY+Xv76+KFSuqQYMGaty4scddYHXHHXdo8+bNmdsdO3bU+vXrC6Tua9euKTAwUGlpaZlpr7/+ut56660Cqd9RaWlp2r17t06dOqWoqChduXJF3t7eCggIUHBwsGrVqqW6devm6Q5aeeHKfrx06ZI2bdqk8+fPKyYmRkWLFlW5cuVUr149NWvWzHLQubslJydr586dOnfunKKiojLPEwICAhQaGqratWurTp06Ll2V+VYaw2NjY7V161YdOXJEsbGxKlasWOZxrWHDhvlS59WrV1WhQgVdu3YtM61Lly5as2ZNvtSXV7GxsTp69KiOHz+uK1euZI41JUuWzDxW1KtXT7Vr187X710Mw9C+fft0/PhxRUVFKSoqShkZGQoICFCpUqVUo0YN1atXL9cL7aw4deqU9u7dq4iICEVGRio9PV0BAQEqV66c6tSpo7p161oOSs9PKSkp2rZtm86cOZP5HWTp0qVVpkwZNWzY0O6dBAAAAOB5CHAHAAAAAABAoTZ48GD98ssvmduhoaGKiIhwY4sAAAAA97h06ZKqVKmilJSUzLTnn39eH374YYHUv2TJEt111102acuWLVP//v0LpP5bBf2IW9F///tfPfvsszZpP/74o4YNG+amFgEAAADwZNxnBwAAAAAAAIXWoUOHtGzZMpu0jh07uqk1AAAAgHt9+umnNsHtktSpU6cCq3/q1Kk220WKFFG7du0KrP5bBf2IW41hGPr8889t0sqXL68hQ4a4qUUAAAAAPB0B7gAAAAAAACiUkpOTdf/99ysjI8Mm/fHHH3dTiwAAAAD32bx5s2ml9kqVKqlv374FUv/UqVO1efNmm7QhQ4aodOnSBVL/rYJ+xK1o4cKFOnz4sE3a2LFjVaRIETe1CAAAAICnI8AdAAAAAAAAbjVt2jRt377dqTznz59Xt27dtGvXLpv0WrVqqVevXq5sHgAAAFBgoqOj9c477ygyMtKpfEuXLlXfvn2Vmppqkz5mzBj5+vo6XM6mTZs0e/ZsJScnO5wnIyNDb731liZMmGB67Omnn3a4nFsJ/Qj8/+Li4vTSSy/ZpBUvXlxPPvmkm1oEAAAAoDAgwB0AAAAAAAButXz5crVp00bNmjXTm2++qc2bNysuLs70vKSkJG3YsEHPPvusateurU2bNtk87u3trZkzZ8rLy6ugmg4AAAC4VHJysl5//XVVrlxZgwcP1rfffqu///5b6enppudevHhR8+fP15133qlBgwbp6tWrNo83atRIzz//vFP1nzlzRo888ohuu+02jR49WkuWLNGZM2fsPvfw4cP6/PPPVa9ePU2aNMl0Z6XRo0erQ4cOTtV/q6Afget27NihHj16KDw83CZ93LhxKlOmjHsaBQAAAKBQ8DIMw3B3IwAAAAAAAPDP1bt3b61evdomzcvLS2XKlFGpUqXk4+OjmJgYRUREKC0tLdty3n77bb322mv53VwAAAAg31y8eFEVKlQwpRctWlRly5ZVYGCgkpOTdeXKFV25ciXbcoKCgrRx40Y1bNjQqfp//PFHDR8+3JQeEBCg0qVLq2TJkoqPj1dkZKTi4+OzLadx48basmWLihcv7lT9twr6Ef9E58+fV9++fSVJ6enpOnPmjOnCG0mqVKmSDhw4oKCgoIJuIgAAAIBCxPH70QEAAAAAAAAFxDAMXb58WZcvX871uUWKFNFnn33G7c0BAABwy0pOTs52BfCsatWqpaVLl6pu3bouqz8uLs7uXZbs6devn77//nuCsu2gH3ErS0lJ0Z49e3J8jq+vr2bNmkVwOwAAAIBcebu7AQAAAAAAAPhn6969u8qXL+90Pm9vb919993asWMHwe0AAAC4JZQsWVJ9+vSRn5+f03lLly6tN998Uzt37rQc3F67dm21bNnSUt569epp9uzZWrp0qQIDAy2VcaugHwGzgIAAff/99+rRo4e7mwIAAACgEPAyDMNwdyMAAAAAAADwz5aRkaGdO3dq48aN2rlzp06cOKEzZ84oNjZW165dU9GiRRUSEqKQkBA1atRInTp1Uo8ePVS9enV3Nx0AAABwuatXr2rdunXasmWL9u3bp/DwcF28eFEJCQlKTU1VYGCggoODVb58ebVt21adOnVS9+7dVaJECZfUf+bMGa1bt05bt27VoUOHdOrUKUVGRioxMVGGYahUqVIKCQlR1apV1aFDB3Xu3FkdO3aUl5eXS+q/VdCP+CcJDw+3OUf39vZWYGCgateurV69eunJJ59UxYoV3dhCAAAAAIUJAe4AAAAAAAAAAAAAAAAAAAAAAI/g7e4GAAAAAAAAAAAAAAAAAAAAAAAgEeAOAAAAAAAAAAAAAAAAAAAAAPAQBLgDAAAAAAAAAAAAAAAAAAAAADwCAe4AAAAAAAAAAAAAAAAAAAAAAI9AgDsAAAAAAAAAAAAAAAAAAAAAwCMQ4A4AAAAAAAAAAAAAAAAAAAAA8AgEuAMAAAAAAAAAAAAAAAAAAAAAPAIB7gAAAAAAAAAAAAAAAAAAAAAAj0CAOwAAAAAAAAAAAAAAAAAAAADAIxDgDgAAAAAAAAAAAAAAAAAAAADwCAS4AwAAAAAAAAAAAAAAAAAAAAA8AgHuAAAAAAAAAAAAAAAAAAAAAACP4OvuBgD/VDExMVq3bl3mduXKlVW0aFE3tggAAAAAAAAAAAAAAAAAAAC3guTkZJ05cyZzu3PnzipVqpT7GuQEAtwBN1m3bp0GDx7s7mYAAAAAAAAAAAAAAAAAAADgFrdkyRINGjTI3c1wiLe7GwAAAAAAAAAAAAAAAAAAAAAAgESAOwAAAAAAAAAAAAAAAAAAAADAQ/i6uwHAP1XlypVttpcsWaKaNWu6qTUAAAAAAAAAAAAAAAAAAAC4VRw7dkyDBw/O3M4at+rJCHAH3KRo0aI22zVr1lSDBg3c1BoAAAAAAAAAAAAAAAAAAADcqrLGrXoyb3c3AAAAAAAAAAAAAAAAAAAAAAAAiQB3AAAAAAAAAAAAAAAAAAAAAICHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAAAAAAAAAAAAeAQC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BALcAQAAAAAAAAAAAAAAAAAAAAAegQB3AAAAAAAAAAAAAAAAAAAAAIBHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAAAAAAAAAAAAeAQC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BALcAQAAAAAAAAAAAAAAAAAAAAAegQB3AAAAAAAAAAAAAAAAAAAAAIBHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAAAAAAAAAAAAeAQC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BF93NwAA/kmqTVjh7iYAcIPwKf3c3QS34bgH/DP9k497AAAAAAAAAAAAAAAgb1jBHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BALcAQAAAAAAAAAAAAAAAAAAAAAegQB3AAAAAAAAAAAAAAAAAAAAAIBHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAAAAAAAAAAAAeAQC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BALcAQAAAAAAAAAAAAAAAAAAAAAegQB3AAAAAAAAAAAAAAAAAAAAAIBHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAAAAAAAAAAAAeAQC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BALcAQAAAAAAAAAAAAAAAAAAAAAegQB3AAAAAAAAAAAAAAAAAAAAAIBHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAAAAAAAAAAAAeAQC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BALcAQAAAAAAAAAAAAAAAAAAAAAegQB3AAAAAAAAAAAAAAAAAAAAAIBHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAAAAAAAAAAAAeAQC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAvRA7d+6cFi9erAkTJujOO+9UYGCgvLy8Mv+qVavmdJnh4eE2ZeT1b/bs2S5/3bNnz85Tm7p06eLyNgEAAAAAAAAAAAAAAAAAAADIO193NwDO2bRpk/7zn/9o27ZtOn/+vLubkys/Pz93NwEAAAAAAAAAAAAAAAAAAABAIUGAeyGzY8cOLV682N3NcEiRIkXUs2dPdzcDAAAAAAAAAAAAAAAAAAAAQCFBgPstpGTJkoqPj89TGeXLl9fvv/9uKe/rr7+urVu3Zm73799foaGheWqPI1588UWnAumDg4PzsTUAAAAAAAAAAAAAAAAAAAAArCLAvZAKCAhQixYt1KpVK7Vu3VqtWrXSyZMn1bVr1zyV6+/vr+7duzud7+rVq/rrr79s0kaOHJmntjiqfv36ltoMAAAAAAAAAAAAAAAAAAAAwLMQ4F7IDBgwQD179lTdunXl7e1t89jJkyfd1Crpp59+UlJSUuZ22bJl1bdvX7e1BwAAAAAAAAAAAAAAAAAAAEDhQ4B7IVOjRg13N8Gu2bNn22zff//98vVl9wIAAAAAAAAAAAAAAAAAAADgOO/cnwLk7MiRI9qyZYtN2siRI93TGAAAAAAAAAAAAAAAAAAAAACFFgHuyLM5c+bYbDdr1kyNGzd2U2sAAAAAAAAAAAAAAAAAAAAAFFYEuCNPMjIy9N1339mksXo7AAAAAAAAAAAAAAAAAAAAACt83d0AFG5//vmnzpw5k7ldpEgRjRgxosDbkZ6erhMnTigiIkJeXl4qXbq0KlSooICAgAJvCwAAAAAAAAAAAAAAAAAAAABrCHBHnsyePdtme8CAAQoNDS3QNkyePFnPPvus4uLibNK9vb3VqFEj9ejRQ08//bSqVq1aoO0CAAAAAAAAAAAAAAAAAAAA4BwC3GFZXFycFi9ebJM2cuTIAm/H0aNH7aZnZGRoz5492rNnjz755BONHj1aH330kYoVK+byNly+fFkRERFO5Tl27JjL2wEAAAAAAAAAAAAAAAAAAAAUZgS4w7L58+crMTExc7tcuXLq06ePG1uUvbS0NE2fPl2bNm3S6tWrVaFCBZeW/8UXX+jNN990aZkAAAAAAAAAAAAAAAAAAADAP423uxuAwmv27Nk22/fff798fQvumommTZvqtdde08qVKxUeHq74+HilpKTo4sWL+v333/XCCy8oKCjIJs++ffs0YMAAJSQkFFg7AQAAAAAAAAAAAAAAAAAAADiGFdxhyfHjx7Vx40abtJEjRxZI3c2bN1dYWJiaN29u9/Fy5cqpXLly6t69u/79739r1KhRWrJkSebjYWFhmjhxov7zn/8USHsBAAAAAAAAAAAAAAAAAAAAOIYAd1gyZ84cm+3mzZurUaNGBVJ348aNHX5ucHCwfv75Z91zzz1atGhRZvoXX3yh8ePHq1KlSi5p09ixY3XPPfc4lefYsWMaPHiwS+oHAAAAAAAAAAAAAAAAAAAAbgUEuMNphmHou+++s0krqNXbrfD29tbMmTP1559/KiYmRpKUlJSkBQsW6F//+pdL6ihbtqzKli3rkrIAAAAAAAAAAAAAAAAAAACAfypvdzcAhc/atWsVHh6eue3n56cRI0a4r0EOCA4O1qhRo2zSfvvtNze1BgAAAAAAAAAAAAAAAAAAAIA9BLjDabNnz7bZ7t+/v0qXLu2exjihW7duNtuHDx92U0sAAAAAAAAAAAAAAAAAAAAA2EOAO5wSHx+vn3/+2SZt5MiR7mmMkypXrmyzHRER4aaWAAAAAAAAAAAAAAAAAAAAALCHAHc4ZeHChUpISMjcLleunPr06ePGFjmuSJEiNtupqaluagkAAAAAAAAAAAAAAAAAAAAAewhwh1Nmz55ts/3AAw/I19fXPY1x0sWLF222y5Qp46aWAAAAAAAAAAAAAAAAAAAAALCHAHc4LDw8XOvXr7dJGzlypHsaY8HGjRtttitXruymlgAAAAAAAAAAAAAAAAAAAACwhwB3OGzOnDkyDCNzu0WLFmrYsKEbW+S4tLQ0zZkzxyatW7dubmoNAAAAAAAAAAAAAAAAAAAAAHsIcIdDDMPQ//73P5u0wrR6+5QpU3Ts2DGbtEGDBrmpNQAAAAAAAAAAAAAAAAAAAADsIcAdDtmwYYNOnDiRue3n56cRI0bkudyRI0fKy8sr8y+3oPkvv/xSf/75p1N1fPTRR5o4caJN2sCBA9WiRQtnmwsAAAAAAAAAAAAAAAAAAAAgH/m6uwFw3qZNm3Tt2jVT+p49e2y2k5KS9Mcff9gto2LFiqpfv77Ddc6ePdtme8CAAQoJCXE4v6ts27ZNY8eOVZMmTXTvvfeqd+/eatCggYoWLWrzvMTERP3f//2fPvzwQ61fv97msdKlS+ujjz4qyGYDAAAAAAAAAAAAAAAAAAAAcAAB7oXQ/fffr1OnTuX6vEuXLqlHjx52H3v44YdNQevZSUxM1MKFC23ScltpPb/t2bNHe/bs0auvvipfX19VrlxZQUFB8vPzU3R0tMLDw5WammrKFxAQoGXLlqlGjRpuaDUAAAAAAAAAAAAAAAAAAACAnBDgjlz9/PPPiouLy9wuX768evfu7cYW2UpLS9PJkydzfV6bNm00b948gtsBAAAAAAAAAAAAAAAAAAAAD0WAO3I1Z84cm+37779fvr7u2XXGjBmj4OBgrV+/Xvv27bO7SvvN/P391aVLFz311FPq16+fvLy8CqilAAAAAAAAAAAAAAAAAAAAAJxFgHshFB4eXqD1/fHHH/lW9uzZszV79myHn9+mTRu1adNGkpSSkqK///5bJ0+e1Pnz5xUXF6fU1FQFBgYqODhYtWvXVrNmzeTn55dPrQcAAAAAAAAAAAAAAAAAAADgSgS4o9Dy8/NTkyZN1KRJE3c3BQAAAAAAAAAAAAAAAAAAAIALeLu7AQAAAAAAAAAAAAAAAAAAAAAASAS4AwAAAAAAAAAAAAAAAAAAAAA8hK+7GwAAAAAAwK2k2oQV7m4CgAIWPqWfu5sAAAAAAAAAAAAA3DJYwR0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAAAAAAAAAAAAeAQC3AEAAAAAAAAAAAAAAAAAAAAAHoEAdwAAAAAAAAAAAAAAAAAAAACARyDAHQAAAAAAAAAAAAAAAAAAAADgEQhwBwAAAAAAAAAAAAAAAAAAAAB4BALcAQAAAAAAAAAAAAAAAAAAAAAegQB3AAAAAAAAAAAAAAAAAAAAAIBHIMAdAAAAAAAAAAAAAAAAAAAAAOARCHAHAAAAAAAAAAAAAAAAAAAAAHgEAtwBAAAAAAAAAAAAAAAAAAAAAB6BAHcAAAAAAAAAAAAAAAAAAAAAgEcgwB0AAAAAAAAAAAAAAAAAAAAA4BEIcAcAAAAAAAAAAACA/4+dOw/XsirUx38/G9higIAgiBMgOYQliqalJThAONug5VCaeqzMkxZOTYo55YCdTmmdzKnvySbLSs1Mc0AhJ1Iy09RkSFEQBQVk2vD8/vDHe9xMsmFv3s27P5/r2tf1rPWstZ77Vf+8XQAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0CgruAAAAAAAAAAAAAAC0Cu2rHaA1eeGFF3LllVfmgQceyIwZM9K9e/fssssuOf7447PzzjtXOx4AAAAAAAAAAAAAQE2r2YL7Qw89lCuvvLIyPuecc/Lud797petvuummHHvssZk/f36SpCzLFEWRhx56KD/84Q9z1lln5YILLmjx3AAAAACwPul39m3VjgCsY5O+fWC1IwAAAAAAUMNqtuD+ox/9KP/7v/+boiiy9dZbr7LcPn78+BxzzDFZuHBhkqQoihRFUXm/ePHiXHzxxamvr88555zT4tkBAAAAAAAAAAAAANqiumoHaCl33HFH5fmoo45a5drTTjstCxcurBTby7Js9Ld07oILLsiTTz7Z0tEBAAAAAAAAAAAAANqkmiy4v/DCC5k6dWplfMABB6x07cMPP5yxY8dWbmzv379/7rrrrsybNy///ve/85//+Z+VkvvixYtz2WWXtXh+AAAAAAAAAAAAAIC2qCYL7k8//XTlua6uLjvttNNK1954441JkrIsU1dXl9///vfZZ599ssEGG2TzzTfPd7/73RxxxBGV29xvvvnmLFq0qKV/AgAAAAAAAAAAAABAm1OTBfdJkyYlSYqiyFZbbZUNNthgpWvvuOOOytrhw4dn4MCBy6356le/WnmeM2dOnnjiieYNDAAAAAAAAAAAAABAbRbc33jjjcpz9+7dV7pu2rRp+ec//5miKJIkH/vYx1a4btCgQenWrVtl/OSTTzZPUAAAAAAAAAAAAAAAKmqy4D5v3rzK86pub//LX/6SJCnLMkmy7777rnRtv379Ks+vvvrqWiYEAAAAAAAAAAAAAGBZNVlw33DDDSvPb7/NfVn33Xdf5XmzzTZrVGJfVseOHSvPb7755toFBAAAAAAAAAAAAABgOTVZcO/evXuSt25mnzRpUuWG9mX96U9/SpIURZG99tprlWfOnj278ryqW+EBAAAAAAAAAAAAAFgzNVlwHzhwYOX5zTffzNixY5db8/e//z1PPfVUiqJIkgwdOnSVZ06fPr3yvLRADwAAAAAAAAAAAABA86nJgvugQYPSqVOnSnn9vPPOW27N+eefnySV292HDx++0vNefvnlvPLKK5Vx//79mzMuAAAAAAAAAAAAAACp0YJ7x44d89GPfrRSXr/77rszbNiw/OpXv8pvf/vbHH744fnVr36VoihSFEU+9KEPpW/fvis978EHH2w03n777Vs0PwAAAAAAAAAAAABAW9S+2gFayrnnnptf/epXWbhwYcqyzN13352777670ZqyLFMURb7xjW+s8qzf/va3lectt9wyffr0aYnIAAAAAAAAAAAAAABtWk3e4J4kAwYMyI9+9KMkSVEUSd4qtC+91X3p3EknnZRhw4at9Jx58+bld7/7XeW29yFDhrRwcgAAAAAAAAAAAACAtqlmC+5J8ulPfzp//OMfs/3221eK7clbRfcuXbrkwgsvzA9+8INVnnHdddfl9ddfr+w/6KCDWjQzAAAAAAAAAAAAAEBb1b7aAVrasGHD8uSTT+app57KM888k3nz5mWzzTbL7rvvng022OAd9zc0NOTUU0+tjPfff/+WjAsAAAAAAAAAAAAA0GbVfMF9qfe85z15z3ve0+R9X/rSl1ogDQAAAAAAAAAAAAAAy6qrdgAAAAAAAAAAAAAAAEgU3AEAAAAAAAAAAAAAaCUU3AEAAAAAAAAAAAAAaBUU3AEAAAAAAAAAAAAAaBXaVzvAurJ48eKMHz8+f/3rX/Pvf/87r7/+eubNm5eyLJt0TlEUueaaa1ooJQAAAAAAAAAAAABA21XzBfc5c+bkwgsvzPXXX5/p06ev1VllWSq4AwAAAAAAAAAAAAC0kJouuE+YMCGHHHJIXnjhhUY3tRdFUcVUAAAAAAAAAAAAAACsSM0W3KdMmZJhw4ZlxowZSd4qtS8tub+97A4AAAAAAAAAAAAAQOtQswX3s846KzNmzKjc1l6WZXbfffd88pOfzE477ZRevXqlU6dOVU5Jc3r11VczduzY/Otf/8rcuXPTqVOnDBgwIHvuuWd69OhR7XgAAAAAAAAAAAAAwDuoyYL7rFmzctNNN1Vuba+vr8+1116bo446qtrRmtWLL76Yhx9+OA899FAefvjhPProo5k9e3blfd++fTNp0qQ1Onvp/xiwpiZOnJh+/fqt1Rmra8KECTnnnHNy6623ZsmSJcu9b9euXQ488MCcf/752XHHHddJJgAAAAAAAAAAAACg6Wqy4H7fffdl8eLFKYoiRVHk4osvrply+9ixYzN69Og89NBDmTp1arXjVN13v/vdnH766WloaFjpmsWLF+f3v/99/vCHP+SKK67If/7nf67DhAAAAAAAAAAAAADA6qrJgvu///3vJElZlunYsWM+//nPVzlR83nkkUdy8803VztGq3DFFVdk5MiRy8336dMnm222WaZOnZqXXnqpMt/Q0JAvfelLKcsyX/rSl9ZlVAAAAAAAAAAAAABgNdRkwf2NN95IkhRFkW222SYbbrhhlROtG507d86cOXOa/dwdd9wxo0ePbtKeTTfdtNlzvN24ceNy5plnNpobOnRoRo8encGDB1fmHn300Zx++um57777KnMjR47MBz7wgey2224tmhEAAAAAAAAAAAAAaJqaLLh369at8tyxY8fqBWlBXbp0yS677JL3v//92W233fL+978/EydOzN57793s3+revXv222+/Zj93bZxxxhlZvHhxZXzwwQfnpptuSn19faN1u+66a/70pz/lYx/7WG677bYkb93kfsYZZzQqvQMAAAAAAAAAAAAA1VeTBff3vve9leeXXnqpikma38EHH5zhw4dn++23T11dXaN3EydOrFKqdev222/PuHHjKuMePXrkmmuuWa7cvlR9fX2uvfbaDBw4MK+++mqSZMyYMbnzzjszbNiwdZIZAAAAAAAAAAAAAHhnde+8ZP2zxx57ZOONN05ZlnnxxRdrqvg9YMCADBw4cLlye1vy4x//uNH4i1/8YjbZZJNV7unVq1dOPvnkVZ4DAAAAAAAAAAAAAFRXTbak27dvn1NPPbUy/u53v1vFNDSnBQsW5I477mg0d/zxx6/W3mXX3X777Vm4cGGzZQMAAAAAAAAAAAAA1k5NFtyT5KyzzsqgQYNSlmV+8IMfLFeKZv107733Zu7cuZXxdtttl759+67W3n79+mWbbbapjGfPnp377ruv2TMCAAAAAAAAAAAAAGumZgvu9fX1ue2227Lddttl0aJF+ehHP5rvfe97Wbx4cbWjsRYef/zxRuM99tijSfv33HPPVZ4HAAAAAAAAAAAAAFRP+2oHaCljxoxJknz729/OyJEj8/zzz+e0007LZZddlo997GPZdddd06tXr3Ts2LHJZ++1117NHXe98NJLL2Xq1KmZO3duunfvnp49e6ZPnz7rNMNTTz3VaDxw4MAm7V92/bLnAQAAAAAAAAAAAADVU7MF96FDh6Yoisq4KIqUZZkXXngh3/ve99b43KIo0tDQ0BwR1xtPPPFEtt5660ycOHG5d5tuummGDBmS4447LiNGjGjxLP/85z8bjbfccssm7V92/bLnAQAAAAAAAAAAAADVU1ftAC2tLMvKc1EUldJ7WZZr/NfWvPbaaysstyfJyy+/nF/84hfZf//9M3jw4DzxxBMtmmX69OmNxltssUWT9m+++earPA8AAAAAAAAAAAAAqJ6avcE9+b9ye1sspVfDY489lt133z033HBDDj/88Bb5xpw5cxqNO3Xq1KT9y65f9rw1NX369LzyyitN2vPcc881y7cBAAAAAAAAAAAAoFbUbMH93HPPrXaE9V7Pnj1z0EEHZb/99suOO+6YLbbYIl26dMmcOXMyZcqU3H///bn66qszYcKEyp558+blmGOOSe/evbPXXns1e6ZlC+kdO3Zs0v4NN9xwleetqauuuirnnXdes5wFAAAAAAAAAAAAAG2Vgjsr9L//+785/PDDU19fv9y7bt26pVu3btlxxx3zxS9+Mf/zP/+TU089NQsWLEiSLFy4MEcddVSee+65JhfQ38n8+fMbjVeUb1U22GCDRuN58+atdSYAAAAAAAAAAAAAoHnUVTsArdPRRx+92uXxz33uc7nxxhtTV/d//zm9+OKLufLKK5s917KF+YULFzZp/9IS/srOAwAAAAAAAAAAAACqp2ZvcGfd+tjHPpZPf/rTueGGGypz/+///b+MHDmyWb/TuXPnvPnmm5Xxsje6v5Nlb2zv3Llzs+Q6+eSTc/jhhzdpz3PPPZfDDjusWb4PAAAAAAAAAAAAALVAwZ1mM3LkyEYF97/97W+ZNm1aevfu3Wzf6Ny5c6ZPn14Zz507t0n7l13fXAX3Xr16pVevXs1yFgAAAAAAAAAAAAC0VXXVDkDteN/73teo5F2WZZ555plm/cayJfIXXnihSftffPHFVZ4HAAAAAAAAAAAAAFRPm7zBff78+XnkkUcyZcqUzJw5M7Nnz06XLl3SvXv39O3bN7vuums6duxY7ZjrpS222KLRDeuvvPJKs56/3Xbb5cEHH6yMp0yZ0qT9y67ffvvtmyUXAAAAAAAAAAAAALD22kzBfcGCBbnxxhvzox/9KOPHj8/ixYtXurZ9+/bZddddc9JJJ+XII49MfX39Oky6fuvQoUOj8aJFi5r1/GUL6f/4xz+atP+pp55a5XkAAAAAAAAAAAAAQPXUVTvAunDHHXdkwIABOfHEE/Pwww+noaEhZVmu9G/RokV58MEHc/zxx2fAgAG58847q/0T1hsvv/xyo/Emm2zSrOfvtNNOjcbjxo1r0v6xY8eu8jwAAAAAAAAAAAAAoHpqvuB+/vnn54ADDsjUqVNTlmWSpCiKVe5Z+r4sy7z44osZMWJELrzwwhbPur574YUXMnny5EZzW265ZbN+Y+jQoenUqVNl/Mwzzyz3zZWZNGlSnn322cq4S5cuGTp0aLPmAwAAAAAAAAAAAADWXPtqB2hJV111Vc4999wkjUvrG264YXbdddcMGjQoPXv2TKdOnTJ37tzMmDEjEyZMyKOPPpp58+Y12nPOOeekR48e+fznP1+139PaXXPNNY3GW265ZbbZZptm/UbHjh0zfPjw3HzzzZW5a6+9Nuedd9477r322msbjUeMGJH6+vpmzQcAAAAAAAAAAAAArLmaLbhPmTIlI0eObFRS33TTTTNq1KgceeSR6dKly0r3zpkzJzfeeGPOO++8vPTSSymKImVZ5itf+UoOOOCAbLXVVuvqZ6w3nnrqqYwePbrR3GGHHdYi3zrhhBMaFdyvvPLKnHLKKdlkk01Wumf69Om56qqrljsHAAAAAAAAAAAAAGg96qodoKWcc845WbBgQWW8zz775Omnn85JJ520ynJ7knTu3DknnXRSnn766QwbNixlWaYoiixYsCCjRo1q4eTV9fjjj+c73/lO3nzzzSbtGTFiRGbPnl2Z23DDDXP22We/495Ro0alKIrK39ChQ99xz4EHHpgPfOADlfGrr76aE044IYsWLVrh+oULF+aEE07Iq6++Wpn78Ic/nI985CPv+C0AAAAAAAAAAAAAYN2pyRvcGxoacvPNN1duXn/ve9+b22+/PR06dGjSOV26dMmtt96aXXbZJU8++WTKssxvfvObXH311WnXrl0LpX9nY8eOzbx585abnzBhQqPx/Pnzc9ddd63wjM022ywDBw5cbn7WrFn5yle+kgsvvDAf+9jH8tGPfjTvf//707Nnz0bryrLM3//+91x99dX50Y9+1Oh/JkiSiy++OJtttllTf9pqu+yyyzJkyJAsWbIkSXLLLbdk+PDhGT16dAYPHlxZN378+IwcOTL33XdfZa5du3a59NJLWywbAAAAAAAAAAAAALBmarLgPm7cuMpt4kVRZPTo0U0uty/VoUOHjB49unLb9+zZszNu3Lh8+MMfbra8TXX00Udn8uTJ77hu2rRpGTZs2ArfHXvssbn++utXuvfVV1/N1VdfnauvvjpJ0rt37/Ts2TNdunTJnDlz8uKLL2bmzJkr3Dty5Miceuqp7/xD1sKHPvShXHzxxTnrrLMqc/fee2922WWXbLbZZunTp0+mTp2al156abm9l156aaMb4AEAAAAAAAAAAACA1qEmC+4TJ06sPHfr1i377bffWp233377pXv37pVC9/PPP1/Vgns1TJs2LdOmTVvlmo022ihXXXVVjj766HWS6cwzz0y7du1y1llnZfHixZX5qVOnZurUqcutb9euXS6//PKcdtpp6yQfAAAAAAAAAAAAANA0ddUO0BKmT5+e5K3b2/v165eiKNbqvKIo0rdv38r4lVdeWavzWrP3ve99ueSSSzJixIhsvPHGq7Vn++23z6WXXppJkyats3L7UiNHjsyjjz6aAw88MHV1K/7Pua6uLgcddFDGjx+v3A4AAAAAAAAAAAAArVhN3uDerl27yvOiRYua5cy33xC+siL1ujJp0qQWO7tHjx4588wzc+aZZyZJJk+enGeffTZTpkzJzJkzM2/evHTs2DHdu3dPnz59svvuu6dHjx5r/L1Ro0Zl1KhRa5V5p512yq233poZM2bkgQceyPPPP5+5c+emU6dOGTBgQPbcc8/07Nlzrb4BAAAAAAAAAAAAALS8miy49+rVK0lSlmUmT56cRYsWpUOHDmt83qJFixqVypee3xb07du30e31rVnPnj1z2GGHVTsGAAAAAAAAAAAAALCGqnsVeQvZZpttKs9z5szJLbfcslbn3XLLLZk9e/YKzwcAAAAAAAAAAAAAoHnUZMF9t912S48ePVIURcqyzMiRI/PGG2+s0VlvvPFGTj/99BRFkSTZeOONs9tuuzVnXAAAAAAAAAAAAAAAUqMF96Io8slPfjJlWaYoikyePDl77713XnzxxSadM3Xq1Oy7776ZNGlS5awjjzyyUnYHAAAAAAAAAAAAAKD51GTBPUnOPffcdOnSJclbhffHHnss22+/fc4999xMnDhxlXsnTZqUUaNGZfvtt89f//rXSqG9S5cuOeecc1o8OwAAAAAAAAAAAABAW9S+2gFayiabbJKrr746Rx11VOX29blz5+aCCy7IBRdckL59+2bHHXdMz54906lTp8ydOzevvvpqJkyYkMmTJydJZV9ZlmnXrl1+/OMfp2fPnlX+ZQAAAAAAAAAAAAAAtalmC+5JcsQRR+T111/PKaeckoaGhkpZPXnrlvalRfa3W/o+SWV9hw4dcuWVV+YTn/jEOssOAAAAAAAAAAAAANDW1FU7QEv7j//4j/zlL3/JDjvsUCmvF0WRoihWuP7t78qyzI477pgHH3wwJ5544jrLDAAAAAAAAAAAAADQFtV8wT1JBg8enL/97W/54x//mMMPPzy9evVKWZYr/evVq1eOOOKI/OlPf8rjjz+enXfeudo/AQAAAAAAAAAAAACg5rWvdoB1afjw4Rk+fHiSZPLkyZk8eXJmzpyZOXPmpHPnzunevXv69u2bvn37VjkpAAAAAAAAAAAAAEDb06YK7m+nyA4AAAAAAAAAAAAA0LrUVTsAAAAAAAAAAAAAAAAkCu4AAAAAAAAAAAAAALQSCu4AAAAAAAAAAAAAALQKCu4AAAAAAAAAAAAAALQK7asdoKm+9a1vLTd3zjnnrNa65rKi7wEAAAAAAAAAAAAAsHbWu4L7qFGjUhRFo7kVFc5XtK65KLgDAAAAAAAAAAAAADS/umoHWBtlWdb09wAAAAAAAAAAAAAA2pL17gb3ZPWL5grpAAAAAAAAAAAAAADrj/Wu4H7PPfc06zoAAAAAAAAAAAAAAFqH9a7gPmTIkGZdBwAAAAAAAAAAAABA61BX7QAAAAAAAAAAAAAAAJAouAMAAAAAAAAAAAAA0EoouAMAAAAAAAAAAAAA0CrUbMF96623ztZbb50BAwbkL3/5y1qdNW7cuEbnAQAAAAAAAAAAAADQ/NpXO0BLmTRpUpKkKIrMmzdvrc6aN29eo/MAAAAAAIC2qd/Zt1U7ArCOTfr2gdWOAAAAANCm1OwN7okyOgAAAAAAAAAAAADA+qSmC+4AAAAAAAAAAAAAAKw/FNxXw6JFiyrPHTp0qGISAAAAAAAAAAAAAIDapeC+Gl566aXKc5cuXaqYBAAAAAAAAAAAAACgdim4r4Zbb701SVIURbbaaqsqpwEAAAAAAAAAAAAAqE3tqx1gbUyZMmW11k2bNm211yZJWZZ58803M3HixNx00025+eabK+8GDx7c5JwAAAAAAAAAAAAAALyz9brg3q9fvxRFsdL3ZVkmSY455phm++YRRxzRbGcBAAAAAAAAAAAAAPB/1uuC+1JLi+xr+n5ViqJIURQpyzLDhg3LsGHD1vgsAAAAAAAAAAAAAABWrq7aAVq7sizTvn37HH/88bnpppuqHQcAAAAAAAAAAAAAoGat1ze4H3vssSt9d8MNN6QoiiTJsGHD0qdPn9U+t66uLp06dcrGG2+cHXbYIUOHDs0mm2yy1nkBAAAAAAAAAAAAAFi59brgft1116303Q033FB5PvPMM7PPPvusi0gAAAAAAAAAAAAAAKyhumoHaEllWVY7AgAAAAAAAAAAAAAAq2m9vsF9Vd5+u/sOO+xQxSQAAAAAAAAAAAAAAKyOmi24H3vssdWOAAAAAAAAAAAAAABAE9RVOwAAAAAAAAAAAAAAACQK7gAAAAAAAAAAAAAAtBIK7gAAAAAAAAAAAAAAtArtqx1gXXr66aczbty4PPbYY5kxY0ZmzZqVBQsWNOmMoijy5z//uYUSAgAAAAAAAAAAAAC0XW2i4P673/0u3/72t/Pwww+v1TllWaYoimZKBQAAAAAAAAAAAADA29V0wX3x4sX53Oc+l+uuuy5J44J6WZaVdSsqrb/TewAAAAAAAAAAAAAAmldNF9xPO+20XHvttUmyXLH97aX1t5fZl3qn9wAAAAAAAAAAAAAANK+6agdoKffdd1+uvPLKFEWRoihSX1+fb3zjG3n66aczf/78RqX1u+66K/Pnz8/UqVNz55135qtf/Wp69epVWTNw4MA89thjWbJkSRYvXlytnwQAAAAAAAAAAAAAUNNqtuB+8cUXJ3nr9vV27drllltuybe+9a1su+22qa+vX259fX19Nt100+y777658MILM3ny5Jx++ulJkqeeeip77bVX7r///nX6GwAAAAAAAAAAAAAA2pKaLLjPnTs3f/7znyu3t5900knZb7/9mnRGfX19Lr300lx11VUpyzKzZ8/ORz/60UybNq2FUgMAAAAAAAAAAAAAtG01WXB/8MEHs3jx4pRlmST5/Oc/v8Znfe5zn8vhhx+eJJk5c2a++c1vNktGAAAAAAAAAAAAAAAaq8mC++TJkyvPXbt2zXvf+95Vrl+wYMEq33/9619PkpRlmZ/+9KeZP3/+2ocEAAAAAAAAAAAAAKCRmiy4v/baa0mSoiiy1VZbrXBN+/btK8/vVFjfcccd07t378racePGNVNSAAAAAAAAAAAAAACWqsmCe0NDQ+W5U6dOK1zTpUuXlGWZJJk+ffo7nrnFFltUnv/5z3+uZUIAAAAAAAAAAAAAAJZVkwX3rl27Vp7nzJmzwjXdunWrPE+ePPkdz1yyZEnledasWWucDQAAAAAAAAAAAACAFavJgvtWW22VJCnLMq+99toK12y//faV54ceemiV5y1evDjPPvtsiqJIkmywwQbNlBQAAAAAAAAAAAAAgKVqsuC+ww47VJ6nTp26wlvcd9pppyRvleAfeOCBTJ06daXn3XzzzZkzZ07KskyS9OnTp3kDAwAAAAAAAAAAAABQmwX3fv36ZdNNN62MH3300eXWHHbYYUmSoijS0NCQL3zhC2loaFhu3fPPP59TTz21cnt7kuy5557NHxoAAAAAAAAAAAAAoI2ryYJ7kuyzzz6V5z/84Q/LvX//+9+f973vfZXxrbfeml122SXf+9738qc//Sm33nprzj777AwePDgvv/xyyrJMURTZa6+9stVWW62T3wAAAAAAAAAAAAAA0Ja0r3aAlvKxj30sN954Y5LkV7/6VS655JJGt7Anyfe///0MHTo0SVKWZZ544omcdtppjdYsLbYnSYcOHXLJJZe0eHYAAAAAAAAAAAAAgLaoZm9wP/DAAzN48OAMHDgwnTt3zrhx45Zb8+EPfzhXXXVVkqQoihRFkbIsK39L58uyTIcOHfKjH/0ou+222zr9HQAAAAAAAAAAAAAAbUXN3uC+wQYb5NFHH33HdZ/73Oey7bbbZuTIkXn88ccbvVtacv/gBz+Yyy+/PB/84AdbIioAAAAAAAAAAAAAAKnhgntT7L333vnrX/+aZ599Ng8++GCmTZuWsiyz6aabZo899siAAQOqHREAAAAAAAAAAAAAoOYpuL/NNttsk2222abaMQAAAAAAAAAAAAAA2qS6agcAAAAAAAAAAAAAAIBEwR0AAAAAAAAAAAAAgFaifbUDtJQxY8ZUnjt16pRddtlljc96/fXXM2HChMp4r732WqtsAAAAAAAAAAAAAAAsr2YL7kOHDk1RFJXxWWedlYsuumiNznr00UczfPjwJElRFGloaGiWjAAAAAAAAAAAAAAA/J+6agdoaWVZpizLXHLJJTnmmGOyaNGitTqnLMtmTggAAAAAAAAAAAAAQNIGCu5FUaQoipRlmZ/97GcZPnx4Xn/99WrHAgAAAAAAAAAAAABgGTVfcF966/rSkvuYMWOy55575t///ne1owEAAAAAAAAAAAAA8DY1X3AviiLf/va306tXrxRFkST5xz/+kQ984AN57LHHqpwOAAAAAAAAAAAAAICl2lc7wLqw66675sEHH8yIESPyz3/+M0VR5KWXXsqQIUPyi1/8Ivvvv3+1I7Zqc+bMyZNPPpmnn346r776aubPn59u3bqlV69e2XXXXdOvX79qRwQAAAAAAAAAAAAAakCbKLgnSd++ffOXv/wlhx56aO6///4URZE5c+bk0EMPzfe///2cdNJJ1Y7YZC+++GIefvjhPPTQQ3n44Yfz6KOPZvbs2ZX3ffv2zaRJk9bo7Iceeii//e1v8+c//znjx4/PkiVLVrq2b9+++fznP5/Pfe5z6d69+xp9rymuv/76fPazn13j/UOGDMm9997bfIEAAAAAAAAAAAAAgGbRZgruSdKtW7fceeedOfbYY/OLX/wiRVGkoaEhX/jCFzJp0qRcdNFF1Y74jsaOHZvRo0fnoYceytSpU5v9/Mcffzwf//jH8/zzz6/2nsmTJ+erX/1qvvvd7+a6667LiBEjmj0XAAAAAAAAAAAAAFD76qodYF2rr6/Pz372s5xxxhkpyzJFUaQsy1xyySU55phjsmjRompHXKVHHnkkN998c4uU25PkhRdeWGm5vWvXrtluu+2y2267Zeutt05RFI3ev/zyyznwwAPz85//vEWyAQAAAAAAAAAAAAC1rU3d4P52l1xySfr27ZtTTz01S5YsSVmW+dnPfpapU6fm5ptvTteuXasdsck6d+6cOXPmNOuZH/jAB3LMMcdk7733zsCBAxu9e+WVV3L11VfnwgsvzJtvvpkkWbJkST7zmc9ku+22y84779ysWVbmjDPOyPDhw1d7fffu3VswDQAAAAAAAAAAAACwptpswT1JTj755Gy55ZY58sgjM2/evJRlmfvuuy8f+tCH8oc//CFbbrlltSOuVJcuXbLLLrvk/e9/f3bbbbe8//3vz8SJE7P33nuv9dl1dXU56qijcvbZZ2eHHXZY6bpNNtkkX/va13LQQQdl7733zmuvvZYkWbRoUU477bTcd999a51ldQwcODD77bffOvkWAAAAAAAAAAAAANBy2nTBPUkOPvjg3HvvvTn44IMzffr0JMmTTz6Z3XffPX/4wx+y0047VTfgMg4++OAMHz4822+/ferq6hq9mzhx4lqfv+222+Zvf/vbKovty9pxxx1z3XXX5dBDD63MjRkzJs8991ze/e53r3UmAAAAAAAAAAAAAKBtqHvnJbVv1113zbhx47LtttumLMsURZGXX345e+21V/74xz9WO14jAwYMyMCBA5crtzeXbbfdtknl9qUOOeSQDBw4sNFca/tnBwAAAAAAAAAAAAC0bgru/7/+/fvnL3/5Sz70oQ9VSu5z5szJIYcckuuuu67a8dYLH/7whxuNp0yZUqUkAAAAAAAAAAAAAMD6SMH9bbp165a77rorRxxxRKXk3tDQkJ/97GcpiqLa8Vq97t27Nxq//vrrVUoCAAAAAAAAAAAAAKyPFNyXUV9fn5///Oc5/fTTKyX3siyrHWu98OKLLzYa9+jRo0pJAAAAAAAAAAAAAID1UftqB2hJSwvqa+LSSy9Nv379cuqpp2bJkiXNnKz2lGWZBx54oNHctttuu86+v3jx4jz//PN55ZVXUhRFevTokT59+qRLly7rLAMAAAAAAAAAAAAAsHZqtuB+7rnnVp633nrrNTrj5JNPzpZbbpkjjzwyb775ZnNFq0n33ntvJk6cWBkXRZERI0ask29fdNFF+dKXvpTZs2c3mq+rq8v73ve+DBs2LKecckr69u27TvIAAAAAAAAAAAAAAGumTRTc18bBBx+cOXPmNMtZtWrJkiX56le/2mhuxIgR2XTTTdfJ95999tkVzi9ZsiQTJkzIhAkT8l//9V858cQTc8UVV2TDDTdcJ7kAAAAAAAAAAAAAgKap2YI7687ll1+ehx56qDKuq6vLhRdeWMVEy2toaMgPf/jDjB07NnfccUf69OnTrOdPnz49r7zySpP2PPfcc82aAQAAAAAAAAAAAADWdwrurJX7778/X//61xvNnXbaadl5551b/Ns77bRTDjrooOyxxx4ZOHBgevbsmfr6+rz22mt54okncscdd+Tqq6/O66+/XtnzxBNP5OCDD859992XTp06NVuWq666Kuedd16znQcAAAAAAAAAAAAAbZGCO2vs+eefz8c+9rE0NDRU5nbaaadcdNFFLfrdwYMHZ/z48Rk8ePAK3/fu3Tu9e/fOfvvtl6997Ws5/vjj89vf/rbyfvz48TnnnHMyevToFs0JAAAAAAAAAAAAADRNXbUDsH6aMWNG9t9//8yYMaMy17t37/zmN7/JBhts0KLf3nHHHVdabl9W9+7d8+tf/zof+9jHGs1fddVVefHFF1siHgAAAAAAAAAAAACwhta7G9x/8pOfLDf3mc98ZrXWNZcVfa8tmT17dvbff/8888wzlbmuXbvmjjvuSP/+/auYbMXq6ury4x//OHfffXdmzZqVJJk/f35+9atf5bTTTmuWb5x88sk5/PDDm7Tnueeey2GHHdYs3wcAAAAAAAAAAACAWrDeFdyPO+64FEXRaG5FhfMVrWsubbngPn/+/BxyyCF59NFHK3Pvete7ctttt2XQoEFVTLZq3bt3z/HHH58rrriiMvenP/2p2QruvXr1Sq9evZrlLAAAAAAAAAAAAABoq+qqHWBtlGW5Wmua4291v1fLFi1alCOOOCL33ntvZa6+vj6/+c1vsueee1Yv2Grad999G43/+c9/VikJAAAAAAAAAAAAALAi690N7snqF82bs5De1svtS5YsyWc+85nccsstlbl27drlxhtvzEc+8pEqJlt9W265ZaPxK6+8UqUkAAAAAAAAAAAAAMCKrHcF9+uuu65Z1/HOyrLMSSedlJ///OeVuaIo8uMf/zgf//jHq5isaTp06NBovGjRoiolAQAAAAAAAAAAAABWZL0ruB977LHNuo539uUvfznXXHNNo7n//u//znHHHVedQGvo5ZdfbjTeZJNNqpQEAAAAAAAAAAAAAFiRumoHoHX75je/me9+97uN5i666KKccsopVUq05h544IFG4y233LJKSQAAAAAAAAAAAACAFVFwZ6Uuu+yyXHDBBY3mvvrVr+arX/1qlRKtuYaGhtxwww2N5vbdd98qpQEAAAAAAAAAAAAAVkTBnRX6n//5n5x55pmN5k455ZRcdNFFVUq0dr797W/nueeeazR36KGHVikNAAAAAAAAAAAAALAiCu4s58Ybb8zJJ5/caO6zn/1s/vu//7vZv3XcccelKIrK33HHHbfK9T/4wQ9y9913N+kbV1xxRc4555xGc4ccckh22WWXpsYFAAAAAAAAAAAAAFpQ+2oHoOnGjh2befPmLTc/YcKERuP58+fnrrvuWuEZm222WQYOHLjc/F133ZVjjz02S5Ysqcxtv/32+eQnP5k///nPTcrZvXv3Zi+RP/TQQzn55JMzaNCgHHHEERkxYkR22GGHbLDBBo3Wvfnmm/nzn/+cyy+/PGPGjGn0rkePHrniiiuaNRcAAAAAAAAAAAAAsPbaXMH9zTffzIsvvpjXX3898+bNS1mWTT5jr732aoFkq+/oo4/O5MmT33HdtGnTMmzYsBW+O/bYY3P99dcvN//AAw+koaGh0dzTTz+dESNGNDnnkCFDcu+99zZ53+qYMGFCJkyYkK9//etp3759ttxyy3Tt2jX19fWZOXNmJk2alEWLFi23r0uXLrnlllsyYMCAFskFAAAAAAAAAAAAAKy5NlFwf+qpp/LjH/84t99+e5599tlGt5M3VVEUyxXAqa6GhoZMnDjxHdftvvvu+elPf6rcDgAAAAAAAAAAAACtVE0X3BcuXJgzzzwzV155ZZYsWbJGt7XTunzhC19I9+7dM2bMmDzxxBMrvKX97Tp27JihQ4fmi1/8Yg488MAURbGOkgIAAAAAAAAAAAAATVWzBfeGhoZ84hOfyG233VYpti8tN6/vRfdJkya12NmjRo3KqFGjWuz8ZV1//fW5/vrrV3v97rvvnt133z3JW/8Dw1NPPZWJEydm6tSpmT17dhYtWpSNNtoo3bt3z7bbbpudd9459fX1LZQeAAAAAAAAAAAAAGhONVtw/973vpdbb701RVGkKIqUZZmyLLPjjjtmp512Sq9evdKpU6dqx2Qt1NfXZ9CgQRk0aFC1owAAAAAAAAAAAAAAzaAmC+5LlizJRRddVCm2J8mIESPyne98J9ttt12V0wEAAAAAAAAAAAAAsCI1WXB/8MEH8+qrr1Zubz/wwAPz29/+NnV1ddWOBgAAAAAAAAAAAADAStRk4/sf//hHklRub//Od76j3A4AAAAAAAAAAAAA0MrVZOt7xowZled+/fplwIABVUwDAAAAAAAAAAAAAMDqqMmCe4cOHZIkRVGkV69eVU4DAAAAAAAAAAAAAMDqqMmCe//+/SvPs2bNql4QAAAAAAAAAAAAAABWW00W3D/84Q+nrq4uZVlm4sSJmTt3brUjAQAAAAAAAAAAAADwDmqy4L7JJpvkkEMOSZIsWrQov/71r6ucCAAAAAAAAAAAAACAd1KTBfckueSSS7LhhhsmSb75zW/m1VdfrXIiAAAAAAAAAAAAAABWpWYL7ttss01uuOGG1NXV5YUXXsj++++fF154odqxAAAAAAAAAAAAAABYiZotuCfJJz7xifzud79Lt27dMn78+Lzvfe/L1772tTz++OMpy7La8QAAAAAAAAAAAAAAeJv21Q7QUrbeeuvKc1mWKcsyr7/+ei655JJccskl6dChQzbeeON07NixSecWRZF//etfzR0XAAAAAAAAAAAAAKDNq9mC+6RJk1IURcqyTFEUKYoiSSo3ty9cuDAvv/xyk89deg4AAAAAAAAAAAAAAM2rZgvuSy1bSF+bgvrScjwAAAAAAAAAAAAAAM2vZgvuW221ldvWAQAAAAAAAAAAAADWIzVbcJ80aVK1IwAAAAAAAAAAAAAA0AR11Q4AAAAAAAAAAAAAAACJgjsAAAAAAAAAAAAAAK2EgjsAAAAAAAAAAAAAAK2CgjsAAAAAAAAAAAAAAK2CgjsAAAAAAAAAAAAAAK2CgjsAAAAAAAAAAAAAAK1C+2oHWJdmz56dRx55JI899lhmzJiRWbNmZcGCBU06oyiKXHPNNS2UEAAAAAAAAAAAAACg7WoTBffx48fn8ssvz29+85s0NDSs8TllWSq4AwAAAAAAAAAAAAC0kJovuF9wwQX51re+lcWLF6csyyRv3cK+9Hnp+O3e/m5lawAAAAAAAAAAAAAAaF41XXC/+OKLc8455yRpXFBfehP728fLWvb9itYAAAAAAAAAAAAAANB86qodoKU89thj+cY3vpGiKCo3th9zzDH54x//mKeffrpRYf2nP/1pnn766YwbNy5XX311jjzyyNTX11fWDBw4MPfff38mTpyY559/vlo/CQAAAAAAAAAAAACgptXsDe4XX3xxpaBeFEVuuOGGfPrTn17h2t69e2fbbbdNknzgAx/ICSeckOnTp+eUU07JTTfdlKeeeipHHHFE7rrrrrznPe9ZZ78BAAAAAAAAAAAAAKAtqckb3BcuXJhbbrmlcnv7pz71qZWW21emV69e+eUvf5mvfe1rKcsyL730Ug444IDMnj27hVIDAAAAAAAAAAAAALRtNVlwf/jhh7NgwYLKDe6nnnrqGp91wQUXZN99902STJkyJRdccEGzZAQAAAAAAAAAAAAAoLGaLLg/99xzled3vetd2W233Va5fuHChat8f9555yVJyrLMj370ozQ0NKx9SAAAAAAAAAAAAAAAGqnJgvtrr72WJCmKIv3791/hmrq6//vpCxYsWOV5e+yxRzbeeOMkyRtvvJEHH3ywmZICAAAAAAAAAAAAALBUTRbc315Y79KlywrXdOnSJWVZJklmzJjxjmdutdVWleennnpqLRMCAAAAAAAAAAAAALCsmiy4b7TRRpXnN998c4VrunbtWnmeMmXKO57Zrl27yvOrr766FukAAAAAAAAAAAAAAFiRmiy4b7bZZpXnmTNnrnDNNttsU3l++OGH3/HM559/vvLcvn37tUgHAAAAAAAAAAAAAMCK1GTBfYcddkiSlGWZF154IfPnz19uzaBBgypr7r///pUW4ZPkrrvuavS+V69ezZwYAAAAAAAAAAAAAICaLLhvs8026d69e5K3CuwTJkxYbs2BBx6YJCmKIvPmzctZZ521wrNee+21nHLKKSmKojK3++67t0BqAAAAAAAAAAAAAIC2rSYL7kVRZOjQoZXx7bffvtyaoUOHpn///kneKsFfc801OeCAA3LLLbfkmWeeyd///vf88Ic/zODBg/PMM89Uzh00aFC22267dfI7AAAAAAAAAAAAAADakposuCfJYYcdVnn+1a9+tdz7oihyxRVXpCzLFEWRsixzxx135LDDDst73vOeDBo0KF/84hczZcqUyvuiKHLxxRevw18BAAAAAAAAAAAAANB21GzB/aMf/Wg23njjvOtd78qUKVMyZsyY5dYceuihOfvssyvl9eSt29zf/re03J4kF1xwQT7ykY+s098BAAAAAAAAAAAAANBWtK92gJbSuXPnzJgx4x3XXXTRRdluu+1y9tlnZ9q0acu9L8syffv2zWWXXZZPfOITLREVAAAAAAAAAAAAAIDUcMG9KY499tgcddRRuffee/Pggw9m2rRpKcsym266afbYY48MGTIk7dv7RwUAAAAAAAAAAAAA0JK0tv9/HTp0yLBhwzJs2LBqRwEAAAAAAAAAAAAAaJPqqh0AAAAAAAAAAAAAAAASBXcAAAAAAAAAAAAAAFqJ9tUOAAAAAAAAAEDr1O/s26odAaiCSd8+sNoRAACANswN7gAAAAAAAAAAAAAAtAo1e4P7lClTmvW89u3bp2vXrunUqVOzngsAAAAAAAAAAAAAwFtqtuDer1+/FEXR7OfW1dVlq622yq677po999wzRx99dHr06NHs3wEAAAAAAAAAAAAAaGvqqh2gpZVl2ax/ixcvzsSJE3PTTTfly1/+crbYYoucdNJJeeONN6r9UwEAAAAAAAAAAAAA1ms1X3BfqiiK5f5WZ83K1iVvlecXLFiQa665JjvuuGP+/ve/t/jvAAAAAAAAAAAAAACoVe2rHaClfOYzn6kU0ceMGZOJEyemKIqUZZkk2XzzzfOe97wn3bp1ywYbbJA33ngjU6dOzZNPPpn58+cn+b/C+6GHHpquXbtmzpw5ee211/LEE09kxowZlTVlWWbKlCk58MAD8+CDD6ZPnz7V+dEAAAAAAAAAAAAAAOuxmi24X3/99Vm0aFFOOeWUTJw4MUnSrVu3nH766TnmmGOy5ZZbrnDf4sWLc8cdd+T73/9+/vjHPyZJHnroodx000354Ac/WFn3t7/9Ld/97ndz/fXXV0ruL7zwQkaOHJkbb7yx5X8gAAAAAAAAAAAAAECNqat2gJb06U9/Oj/+8Y9TFEWGDBmSZ555Jl/96ldXWm5Pknbt2uWAAw7IH/7wh9x4442pr6/Pyy+/nOHDh+eRRx6prNtxxx1zzTXX5Lbbbkt9fX2l5P6rX/0qzzzzzLr4eQAAAAAAAAAAAAAANaVmC+7XXnttfvnLX6Ysy+ywww754x//mB49ejTpjE996lO55pprUpZl5s6dmyOPPDILFy5stGbEiBH5r//6r5RlmaIosmTJktx8883N+VMAAAAAAAAAAAAAANqEmi24X3DBBUmSoihy+eWXZ4MNNlijc4466qh88IMfTJJMnDgxP/3pT5db8x//8R/p379/ZXzvvfeu0bcAAAAAAAAAAAAAANqymiy4jx8/PpMmTUqSdO3aNcOGDVur8z7+8Y9Xnn/zm98s976uri4HH3xwyrJMWZZ59tln1+p7AAAAAAAAAAAAAABtUU0W3B9//PEkb93e3rdv3xRFsVbnDRgwYLmzlzV48ODK82uvvbZW3wMAAAAAAAAAAAAAaItqsuD+yiuvVJ7Xttz+9jPKsmx09tv16NGj8jx79uy1/iYAAAAAAAAAAAAAQFtTkwX3DTfcMMlbhfTJkyenLMu1Ou9f//pX5bljx47vuH511gAAAAAAAAAAAAAA0FhNFtw322yzyvOsWbPy5z//ea3O+/Wvf1153nzzzVe4ZsaMGZXn7t27r9X3AAAAAAAAAAAAAADaoposuO+5554piiJFUaQsy5x++ulZuHDhGp31i1/8IuPGjauc96EPfWiF65544okkSVEU6dev35pGBwAAAAAAAAAAAABos2qy4L7ZZptViuhFUeSJJ57IQQcdlFmzZjXpnJtvvjnHHXdcpSifJEcdddQK144ZM6by/N73vnfNggMAAAAAAAAAAAAAtGE1WXBPkssvvzxFUSRJyrLMn//852y77ba5/PLL8+KLL65035IlS3LnnXfmsMMOyyc+8YksWLAgZVmmKIocdNBBGTJkyHJ7nn/++Tz66KOV7+25554t86MAAAAAAAAAAAAAAGpY+2oHaCnvf//7c8EFF+RrX/tapXg+Y8aMnHXWWTnrrLOy5ZZb5j3veU+6du2a+vr6zJkzJ1OnTs3f//73zJs3L0kqxfayLNO/f//88Ic/XOG3vvvd71bWt2/fPiNGjFg3PxIAAAAAAAAAAAAAoIbUbME9Sc4+++y0a9cuX/va17JkyZJKWT1JpkyZkn//+9+N1i99lyRFUVTWDxw4MH/84x/Tp0+fFX5n8803z7nnnpsk2XTTTdOjR48W+kUAAAAAAAAAAAAAALWrpgvuSXLGGWdk6NCh+fznP5/HHnssSSo3ui9r6XxZlinLMhtuuGFGjhyZb3zjG6mvr1/pN84888zmDw4AAAAAAAAAAAAA0MbUfME9Sd7//vdn/PjxGTduXH7yk5/kgQceyNNPP50lS5Yst7Z79+7Zddddc8ghh+SYY45J165dq5AYAAAAAAAAAAAAAKDtaRMF96X22GOP7LHHHkmSuXPn5uWXX86sWbOyYMGCdO3aNRtvvHH69OlT5ZQAAAAAAAAAAAAAAG1TTRbcZ8+enYkTJ1bGm2++eXr06NFoTadOnTJgwIB1HQ0AAAAAAAAAAAAAgJWoyYL7z372s3zhC1+ojP/yl78sV3AHAAAAAAAAAAAAAKB1qcmC+4wZM1KWZZJkk002yW677VblRLVh/vz5GTduXJ5++unMnDkz9fX12WKLLbL77rtn6623rna8vPrqqxk7dmz+9a9/Ze7cuZVb+vfcc0//gwMAAAAAAAAAAAAArAdqsuDerVu3JElRFNlyyy2rG6YFvfjii3n44Yfz0EMP5eGHH86jjz6a2bNnV9737ds3kyZNWuvvvPLKKznvvPNy/fXXZ+7cuStcs8suu+Sb3/xmDj300LX+XlNNmDAh55xzTm699dYsWbJkufft2rXLgQcemPPPPz877rjjOs8HAAAAAAAAAAAAAKyemiy4b7bZZpXnhQsXVjFJ8xs7dmxGjx6dhx56KFOnTm3x79177705/PDDM2PGjFWuGz9+fA477LB85jOfydVXX536+voWz5Yk3/3ud3P66aenoaFhpWsWL16c3//+9/nDH/6QK664Iv/5n/+5TrIBAAAAAAAAAAAAAE1TkwX3pbd0l2WZKVOmZMmSJamrq6tyqubxyCOP5Oabb14n33rggQdywAEHZN68eY3mu3Xrlv79+2fmzJn597//ncWLF1fe/eQnP8mcOXNy0003pSiKFs13xRVXZOTIkcvN9+nTJ5tttlmmTp2al156qTLf0NCQL33pSynLMl/60pdaNBsAAAAAAAAAAAAA0HS10fpextZbb53ddtstSTJ79uzcc889VU60bnTu3LnZzpo5c2Y++clPNiq39+3bN7/97W/z2muv5a9//WsmTpyYSZMm5XOf+1yjvb/5zW/yne98p9myrMi4ceNy5plnNpobOnRoxo8fn6lTp+bRRx/N1KlT88gjj2TIkCGN1o0cOTIPP/xwi+YDAAAAAAAAAAAAAJquJgvuSXLKKadUnr/+9a9nyZIlVUzT/Lp06ZKhQ4fmjDPOyK9+9atMmjQpt9xyS7Odf9lll2Xq1KmVcf/+/TNu3LgceuihjW5m32KLLfLDH/4wF154YaP93/rWtzJz5sxmy7OsM844o9HN8QcffHDuuOOODB48uNG6XXfdNX/6059y4IEHVuYaGhpyxhlntFg2AAAAAAAAAAAAAGDN1GzB/ZhjjslHP/rRlGWZRx55JEcffXQWLFhQ7Vhr7eCDD86TTz6ZWbNm5Z577smll16aT3ziE+nbt2+zfeOVV17J9773vUZzV199dTbbbLOV7vnqV7+avfbaqzJ+/fXXc/nllzdbpre7/fbbM27cuMq4R48eueaaa1JfX7/C9fX19bn22mvTo0ePytyYMWNy5513tkg+AAAAAAAAAAAAAGDN1GzBPUl+9rOf5VOf+lTKsswvf/nLvPe9783111+fuXPnVjvaGhswYEAGDhyYurqW+1f385//PHPmzKmM99prr+y7776r3FMURc4999xGc9dee23Ksmz2fD/+8Y8bjb/4xS9mk002WeWeXr165eSTT17lOQAAAAAAAAAAAABAdbWvdoCWcvzxxydJOnbsmN69e2fatGn517/+lRNOOCEnnXRStt9++/Tv3z8bbbRROnTosNrnFkWRa665pqVitwq/+93vGo1POOGE1dq39957p3///pk4cWKS5OWXX86DDz6YD37wg82WbcGCBbnjjjsazS39d/1Ojj/++Jx//vmV8e23356FCxeu9OZ3AAAAAAAAAAAAAGDdqtmC+/XXX5+iKCrjpc9lWaahoSF///vf8+STTzbpzLIsa77gPmfOnIwZM6bR3PDhw1drb1EU2W+//XL11VdX5m699dZmLbjfe++9jW7g32677dK3b9/V2tuvX79ss802efbZZ5Mks2fPzn333Zdhw4Y1Wz4AAAAAAAAAAAAAYM3VVTvAulYUReWP5T355JNZtGhRZdy/f/9suummq71/zz33bDR+/PHHmyvaCs/bY489mrS/pfMBAAAAAAAAAAAAAGuuZm9wT966cZ2meeqppxqNBw4c2KT9y65f9ry11drzAQAAAAAAAAAAAABrrmYL7hMnTqx2hPXSP//5z0bjLbfcskn7l10/efLkzJ8/Px07dlzrbEnz51v2PAAAAAAAAAAAAACgemq24N63b99qR1gvTZ8+vdF4iy22aNL+3r17p3379mloaEiSLFmyJK+++mo233zzVpFv2RzLngcAAAAAAAAAAAAAVE/NFtxZM3PmzGk07tSpU5P2F0WRDTfcMLNnz17pmWtjbfMtu765sk2fPj2vvPJKk/Y899xzzfJtAAAAAAAAAAAAAKgVCu40smzhu2PHjk0+Y10W3Juab8MNN1zleWvqqquuynnnndcsZwEAAAAAAAAAAABAW1VX7QC0LvPnz280rq+vb/IZG2ywQaPxvHnz1irT261tvpbMBgAAAAAAAAAAAACsHQV3Gln2RvSFCxc2+YwFCxas8sy1sbb5WjIbAAAAAAAAAAAAALB22lc7wLr2z3/+M2PGjMmDDz6YKVOmZObMmZk9e3a6dOmS7t27p2/fvvnABz6QvfbaK9tuu221465znTt3bjRe9sb01bHsrejLnrk2OnfunDfffLMybmq+lsp28skn5/DDD2/Snueeey6HHXZYs3wfAAAAAAAAAAAAAGpBmym4//73v8/o0aPzwAMPNJovy7LyXBRFkuS6665Lkuy1114ZOXJkDjrooHUXtMqWLXzPnTu3SfvLsmzxgvv06dMr46bmW3Z9c2Xr1atXevXq1SxnAQAAAAAAAAAAAEBbVVftAC3t9ddfz1FHHZWPfvSjeeCBB1KW5XKl9qV/Sy1dc9999+XQQw/N0Ucfnddff70a8de5ZUvaL7zwQpP2T5s2LQ0NDZVxXV1devbs2SzZkrXP9+KLL67yPAAAAAAAAAAAAACgemq64D5nzpwMGzYsv/jFLyql9qVF9qUl9hX9LV1XFEXKsszPf/7zDBs2rMm3ha+Ptttuu0bjKVOmNGn/suv79u2bjh07rnWupZo73/bbb7/WmQAAAAAAAAAAAACA5tG+2gFa0ic/+ck8+uijSVIpq7/rXe/KYYcdln333TeDBg1Kz54906lTp8ydOzczZszIhAkTcvfdd+fmm2/Om2++Wdk3fvz4fOpTn8ott9xS5V/VspYtfP/jH/9o0v6nnnpqleetrdaeDwAAAAAAAAAAAABYczVbcL/11ltz++23N7qx/fOf/3wuvPDCdO/efbn1PXr0yFZbbZXBgwfns5/9bGbNmpVvfOMb+cEPflApuf/hD3/IbbfdlgMPPHBd/5x1ZocddkiHDh2yaNGiJMmkSZPy0ksvpU+fPqu1f+zYsY3GO+20U7PmW/a8cePGNWl/S+cDAAAAAAAAAAAAANZcXbUDtJSLLrooyVvF9iT50Y9+lKuuumqF5fYV6datW77//e/n6quvTvJ/N8AvPbdWdenSJXvttVejuTvvvHO19pZlmbvuuqvR3MEHH9xs2ZJk6NCh6dSpU2X8zDPPZPLkyau1d9KkSXn22Wcr4y5dumTo0KHNmg8AAAAAAAAAAAAAWHM1WXCfMWNGHn744RRFkaIocuKJJ+bEE09co7OOP/74nHjiiZWi/EMPPZQZM2Y0Z9xW55BDDmk0vuaaa1Zr3z333JOJEydWxr17987uu+/erNk6duyY4cOHN5q79tprV2vvsutGjBiR+vr6ZssGAAAAAAAAAAAAAKydmiy4jx07NkuWLKmU0s8+++y1Om/p/qW3uI8bN26tM7Zmn/rUpxrdkj5mzJjcfffdq9xTlmXOO++8RnOf/exnU1fX/P+JnXDCCY3GV155ZV555ZVV7pk+fXquuuqqVZ4DAAAAAAAAAAAAAFRXTRbcX3755SRvFdL79u2b/v37r9V5/fv3T79+/SqF+ZdeemmtM7ZmvXr1yimnnNJo7sQTT8zUqVNXuufiiy/OmDFjKuOuXbvmjDPOeMdvjRo1qnLTflEUGTp06DvuOfDAA/OBD3ygMn711VdzwgknZNGiRStcv3Dhwpxwwgl59dVXK3Mf/vCH85GPfOQdvwUAAAAAAAAAAAAArDvtqx2gJbz22muV50022aRZztxkk00yadKkJMnMmTOb5cw1NXbs2MybN2+5+QkTJjQaz58/P3fdddcKz9hss80ycODAlX7jzDPPzA033FD5nwUmTpyYPfbYI//93/+dgw8+OEVRJEleeOGFXHDBBfmf//mfRvu//vWvZ+ONN27S72qKyy67LEOGDMmSJUuSJLfcckuGDx+e0aNHZ/DgwZV148ePz8iRI3PfffdV5tq1a5dLL720xbIBAAAAAAAAAAAAAGumJgvuXbt2rTy/vey+Nt5+zkYbbdQsZ66po48+OpMnT37HddOmTcuwYcNW+O7YY4/N9ddfv9K9G2+8cX7xi1/kIx/5SObPn58kmTx5cg499NB069Yt/fv3z6xZszJlypQsXry40d5DDz00p59++ur/oDXwoQ99KBdffHHOOuusyty9996bXXbZJZtttln69OmTqVOnrvC2/UsvvbTRDfAAAAAAAAAAAAAAQOtQV+0ALaF3795JkrIsM2nSpMot5Gvq5ZdfzsSJEyu3li89v9bttddeue2225a7iX3WrFl57LHHMnHixOXK7UcddVR+8YtfVP5ZtaQzzzwzl19+edq1a9dofurUqRk/fvxy5fZ27drlO9/5Tr7yla+0eDYAAAAAAAAAAAAAoOlqsuC+2267JUmKosiSJUvy/e9/f63O+/73v58lS5akLMskye67777WGdcX++yzT/7xj3/kC1/4Qt71rnetdN3OO++cX//61/npT3+aDTbYYJ3lGzlyZB599NEceOCBqatb8X/OdXV1OeiggzJ+/Picdtpp6ywbAAAAAAAAAAAAANA07asdoCVsueWWee9735snn3wyZVnmsssuy5AhQzJs2LAmn3X33XfnsssuS1EUKcsyO+ywQ7bYYosWSL36Jk2atE6/17t371x11VUZPXp0xo0bl6eeeiqzZs1KfX19Nt988+y+++5597vfvUZnjxo1KqNGjVqrfDvttFNuvfXWzJgxIw888ECef/75zJ07N506dcqAAQOy5557pmfPnmv1DQAAAAAAAAAAAACg5dVkwT1JTjvttJx44okpiiKLFi3KIYcckosvvjhf+tKXVnrT99stvfn97LPPTkNDQ8qyTFEU+fKXv7wO0rdOG264Yfbdd9/su+++1Y6yQj179sxhhx1W7RgAAAAAAAAAAAAAwBp656b3euqzn/1sdt555yRJURRZsGBBRo4cmXe/+90ZNWpUxowZk1mzZjXa8/rrr2fMmDEZNWpUtt1223z5y1/O/PnzK2cMHjw4n/3sZ9f1TwEAAAAAAAAAAAAAaBNq9gb3oijy+9//PnvssUf+/e9/pyiKlGWZSZMm5fzzz8/555+fJKmrq8u73vWuvPnmm1myZEllf1mWlXPKskzfvn3zu9/9riq/BQAAAAAAAAAAAACgLajZG9yTZPPNN899992X3XbbLWVZpiiKSmF96d/ixYsze/bsLF68uNH829fuvvvuufvuu7PZZptV+ycBAAAAAAAAAAAAANSsmi64J0m/fv0yduzYXHbZZdliiy0qN7MnqZTY3/63VFmW2XLLLTN69OiMHTs2/fv3r0Z8AAAAAAAAAAAAAIA2o321A6wL7dq1y8iRI/PlL385d9xxR+6777489NBDmTx5cmbOnJk5c+akc+fO6d69e/r27ZsPfOADGTJkSIYPH566upr/fwAAAAAAAAAAAAAAAFqFNlFwX6quri77779/9t9//2pHAQAAAAAAAAAAAABgGa4nBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVVBwBwAAAAAAAAAAAACgVWhf7QBNNWbMmMrzoEGD0rVr1yqmAQAAAAAAAAAAAACguax3BfehQ4emKIokyZ133pl99tlnhesU4QEAAAAAAAAAAAAA1i/rXcE9ScqyrJTcV2Z1i/AAAAAAAAAAAAAAALQOddUOsCbeqdy+VFmWLZwEAAAAAAAAAAAAAIDmst4V3Nu3b18prjc0NKxy7eoW4QEAAAAAAAAAAAAAqL71ruDevXv3yvMLL7xQxSQAAAAAAAAAAAAAADSn9a7gvu2221aef/KTn1QxCQAAAAAAAAAAAAAAzal9tQM01T777JOxY8cmSe6///7st99+OfHEE7PDDjtko402SlEUy+2ZNm1apkyZ0mwZttpqq2Y7CwAAAAAAAAAAAACAt6x3BfeTTz45l19+eebPn58kueeee3LPPfescG1ZlkmSY445ptm+XxRFGhoamu08AAAAAAAAAAAAAADeUlftAE3Vu3fvXHvttY1uai/Lcrm/t1vR+7X5AwAAAAAAAAAAAACg+a13Bfck+eQnP5l77703u+yyi8I5AAAAAAAAAAAAAECNaF/tAGvqQx/6UB5++OH885//zF/+8pc888wzmTVrVubPn5+yLHPDDTdUbnkfNmxY+vTpU+XEAAAAAAAAAAAAAACsynpbcF9qu+22y3bbbbfc/A033FB5PvPMM7PPPvusy1gAAAAAAAAAAAAAADRRXbUDAAAAAAAAAAAAAABAUgM3uK9KWZbVjgAAAAAAAAAAAAAAwGqq2YL7PffcU3keNGhQFZMAAAAAAAAAAAAAALA6arbgPmTIkGpHAAAAAAAAAAAAAACgCeqqHQAAAAAAAAAAAAAAAJIavsF9VebPn59HHnkkU6ZMycyZMzN79ux06dIl3bt3T9++fbPrrrumY8eO1Y4JAAAAAAAAAAAAANCmtJmC+4IFC3LjjTfmRz/6UcaPH5/FixevdG379u2z66675qSTTsqRRx6Z+vr6dZgUAAAAAAAAAAAAAKBtqqt2gHXhjjvuyIABA3LiiSfm4YcfTkNDQ8qyXOnfokWL8uCDD+b444/PgAEDcuedd1b7JwAAAAAAAAAAAAAA1LyaL7iff/75OeCAAzJ16tSUZZkkKYpilXuWvi/LMi+++GJGjBiRCy+8sMWzAgAAAAAAAAAAAAC0Ze2rHaAlXXXVVTn33HOTNC6tb7jhhtl1110zaNCg9OzZM506dcrcuXMzY8aMTJgwIY8++mjmzZvXaM8555yTHj165POf/3zVfg8AAAAAAAAAAAAAQC2r2YL7lClTMnLkyEYl9U033TSjRo3KkUcemS5duqx075w5c3LjjTfmvPPOy0svvZSiKFKWZb7yla/kgAMOyFZbbbWufgYAAAAAAAAAAAAAQJtRV+0ALeWcc87JggULKuN99tknTz/9dE466aRVltuTpHPnzjnppJPy9NNPZ9iwYSnLMkVRZMGCBRk1alQLJwcAAAAAAAAAAAAAaJtqsuDe0NCQm2++uXLz+g477JDbb789G220UZPO6dKlS2699da8973vTfLWLfC/+c1vsnjx4paIDQAAAAAAAAAAAADQptVkwX3cuHGZPXt25eb10aNHp0OHDmt0VocOHTJ69OiUZZkkmT17dsaNG9eccQEAAAAAAAAAAAAASI0W3CdOnFh57tatW/bbb7+1Om+//fZL9+7dK+Pnn39+rc4DAAAAAAAAAAAAAGB5NVlwnz59epKkKIr069cvRVGs1XlFUaRv376V8SuvvLJW5wEAAAAAAAAAAAAAsLyaLLi3a9eu8rxo0aJmOXPx4sWV57q6mvzHBgAAAAAAAAAAAABQVTXZ1O7Vq1eSpCzLTJ48ea1L7osWLcqkSZOWOx8AAAAAAAAAAAAAgOZTkwX3bbbZpvI8Z86c3HLLLWt13i233JLZs2ev8HwAAAAAAAAAAAAAAJpHTRbcd9ttt/To0SNFUaQsy4wcOTJvvPHGGp31xhtv5PTTT09RFEmSjTfeOLvttltzxgUAAAAAAAAAAAAAIDVacC+KIp/85CdTlmWKosjkyZOz995758UXX2zSOVOnTs2+++6bSZMmVc468sgjK2V3AAAAAAAAAAAAAACaT00W3JPk3HPPTZcuXZK8VXh/7LHHsv322+fcc8/NxIkTV7l30qRJGTVqVLbffvv89a9/rRTau3TpknPOOafFswMAAAAAAAAAAAAAtEXtqx2gpWyyySa5+uqrc9RRR1VuX587d24uuOCCXHDBBenbt2923HHH9OzZM506dcrcuXPz6quvZsKECZk8eXKSVPaVZZl27drlxz/+cXr27FnlXwYAAAAAAAAAAAAAUJtqtuCeJEcccURef/31nHLKKWloaKiU1ZO3bmlfWmR/u6Xvk1TWd+jQIVdeeWU+8YlPrLPsAAAAAAAAAAAAAABtTV21A7S0//iP/8hf/vKX7LDDDpXyelEUKYpihevf/q4sy+y444558MEHc+KJJ66zzAAAAAAAAAAAAAAAbVHNF9yTZPDgwfnb3/6WP/7xjzn88MPTq1evlGW50r9evXrliCOOyJ/+9Kc8/vjj2Xnnnav9EwAAAAAAAAAAAAAAal77agdYl4YPH57hw4cnSSZPnpzJkydn5syZmTNnTjp37pzu3bunb9++6du3b5WTAgAAAAAAAAAAAAC0PW2q4P52iuwAAAAAAAAAAAAAAK1LXbUDAAAAAAAAAAAAAABAouAOAAAAAAAAAAAAAEAroeAOAAAAAAAAAAAAAECroOAOAAAAAAAAAAAAAECroOAOAAAAAAAAAAAAAECroOAOAAAAAAAAAAAAAECr0L7aAQAAAAAAAAAAoDXod/Zt1Y4AVMGkbx9Y7QgAwNu4wR0AAAAAAAAAAAAAgFZBwR0AAAAAAAAAAAAAgFZBwR0AAAAAAAAAAAAAgFZBwR0AAAAAAAAAAAAAgFZBwR0AAAAAAAAAAAAAgFZBwR0AAAAAAAAAAAAAgFahJgvuixcvzhtvvFH5W7RoUbUjrVeOO+64FEXRLH/9+vVr9nz9+vVbq0z33ntvs2cCAAAAAAAAAAAAANZeTRbcb7jhhnTv3r3yd//991c7UptVX19f7QgAAAAAAAAAAAAAwHqiJgvu06ZNS1mWKcsyXbt2zT777FPtSG3WQQcdVO0IAAAAAAAAAAAAAMB6on21A7SEzp07J0mKokjfvn2rnGb9c+aZZ+aYY45p8r5nn302J598cqO54447rplSrVjv3r3zv//7v03aM2jQoBZKAwAAAAAAAAAAAACsjZosuPfp06faEdZrAwcOzMCBA5u87+6772403nnnnbPjjjs2V6wV6tixY/bbb78W/QYAAAAAAAAAAAAAsG7UVTtAS3jPe96TJCnLMv/+97+rnKZtWLJkSf7f//t/jeZa+vZ2AAAAAAAAAAAAAKC21GTBfYcddsgOO+yQJJk5c2YeeuihKieqfXfddVdeeOGFyrhDhw456qijqpgIAAAAAAAAAAAAAFjf1GTBPUlOOumkyvO5555bxSRtww033NBofNBBB6Vnz55VSgMAAAAAAAAAAAAArI9qtuB+8sknZ88990xZlrnzzjtz+umnVztSzXrjjTdy8803N5o77rjjqhMGAAAAAAAAAAAAAFhv1WzBvV27drnlllvyoQ99KGVZ5jvf+U722muv3HvvvdWOVnN++ctfZt68eZVxr169csABB1QxEQAAAAAAAAAAAACwPmpf7QAt5Vvf+laSZMiQIXn22Wczbdq0jB07Nvvuu2969+6dXXfdNf37989GG22UDh06NOnsc845pyUir7euv/76RuOjjz467duv2/+0ZsyYkRdeeCFvvPFGNtpoo/To0SNbbLFFiqJYpzkAAAAAAAAAAAAAgDVXswX3UaNGNSo3F0WRsiyTJC+//HJuu+22NT5bwf3/PPfccxk7dmyjuc9+9rPr7PvTp0/PwIED89RTTy33buONN86HP/zhHHXUUfn4xz+edu3arbNcAAAAAAAAAAAAAEDT1WzBfUXW9jbvsizdCL6MG264odF48ODBed/73rfOvj9v3rwVltuT5LXXXsvvfve7/O53v8uAAQNyzTXXZMiQIS2SY/r06XnllVeatOe5555rkSwAAAAAAAAAAAAAsL6q6YL70hvbaRllWeYnP/lJo7njjjuuOmHewb/+9a/su+++GT16dE499dRmP/+qq67Keeed1+znAgAAAAAAAAAAAEBbUrMF93vuuafaEWre3XffnSlTplTG9fX1Oeqoo9bJtzfaaKOMGDEiH/nIRzJo0KD0798/G220Ud58881MnTo148aNy3XXXZcHHnigsmfx4sX58pe/nN69e+dTn/rUOskJAAAAAAAAAAAAAKy+mi24DxkypNoRat4NN9zQaHzQQQelR48eLf7dyy67LPvvv386d+683LuNNtooG220Ubbffvscf/zxufnmm3P88cdn1qxZSd66df6EE07I0KFDs+mmm7Z4VgAAAAAAAAAAAABg9dVswZ2WNWfOnPzmN79pNHfcccetk28ffvjhq732ox/9aPr06ZN99tkn8+bN+//Yu+8wKct7f8DfWYq79LoUpakJaowS1KB4REFBUGONXSMhGktO7DUqWBM1sZCTozEqKknsvSsqlsgxKipJFAkdQZAmbRdk2Z3fH/yYMNQtszuzu/d9XXtlnnfe95nPaq7HmZ3PPBMREcXFxXHjjTfG//zP/2Qs0znnnFOhXBERU6ZMiSOPPDJjGQAAAAAAAAAAAACgtlNwp1Ief/zxKCoqSo07dOgQQ4YMyWKizdt7773j0ksvjWuvvTZ17KGHHoqRI0dGXl5eRh6jsLAwCgsLMzIXAAAAAAAAAAAAANRXmWn3Uu888MADaeOTTz45GjbM3c9LnHfeedGgQYPUePHixfHRRx9lMREAAAAAAAAAAAAAsCEFdyps2rRp8e6776YdGzp0aHbClFPr1q2jd+/eaccmTZqUpTQAAAAAAAAAAAAAwKbk7pbb1SCZTMZHH30U7777bkycODEWL14cS5cujbKysrj11lvjBz/4QbYj1gqjR4+OZDKZGvfu3Tu+//3vZzFR+XTp0iU+/PDD1HjBggVZTAMAAAAAAAAAAAAAbKheFNxLSkrizjvvjJEjR8bMmTPT7ksmk5FIJOKbb77Z5LVnnnlmjBkzJiIiunXrFmPHjq32vLksmUzG6NGj04799Kc/zVKaimnUqFHauKSkJEtJAAAAAAAAAAAAAIBNqfMF9ylTpsTxxx8fn376aWrX8UQiERGRtgv55hx//PFxzz33RETEzJkz4+9//3v06dOn+gLnuLfffjumT5+eGjdu3DhOOumkLCYqv3nz5qWN27dvn6UkAAAAAAAAAAAAAMCm5GU7QHWaNm1a/Nd//Veq3L5+sX398ZYMGDAgevbsmRo/+uij1Za3NnjwwQfTxj/60Y+iTZs2WUpTft9++218+OGHace6dOmSpTQAAAAAAAAAAAAAwKbU2YL76tWr45BDDon58+enjnXr1i1GjhwZEydOjBUrVpS75H7MMcekbr/66qvVkrc2KCoqiieeeCLt2NChQ7MTpoIeeeSRKC4uTo232Wab2HfffbOYCAAAAAAAAAAAAADYUJ0tuN95553x73//O1VgP+qoo+Kzzz6LX/7yl9GzZ89o0qRJuecaMmRIRKzd+f2LL76IRYsWVUvmXPfkk0/GihUrUuOOHTvG4MGDs5iofObNmxdXXnll2rFBgwZV6P8DAAAAAAAAAAAAAED1q7MF9zvuuCNVbu/du3c88sgjUVBQUKm5evXqlbbT++eff56RjLXNAw88kDY++eSTo2HDhpWeb8aMGZFIJNJ+ZsyYsdnz586dGyNGjIhvvvmmQo8xePDgmDNnTupYIpGIa665ptK5AQAAAAAAAAAAAIDqUScL7hMnToxZs2ZFMpmMiIgbb7wxGjVqVOn5mjZtGttuu21qPHXq1CpnrG1mzpwZb731VtqxoUOH1miGb7/9Nq677rro2rVrnHzyyfHUU0/FV199tclzp0yZEldddVX06tUrJkyYkHbfeeedF717966JyAAAAAAAAAAAAABABVR+++0c9sknn6RuN2vWLA466KAqz9m6deuYPXt2REQsWbKkyvPVNqNHj059YCAiYo899ohdd901K1lWrFgRDz30UDz00EMREdG2bdsoLCyMFi1axMqVK2Pu3LmxYMGCTV577LHHxq233lqTcQEAAAAAAAAAAACAcqqTBfd15eZEIhE9evSIvLyqb1TfpEmT1O3i4uIqz1fbPPjgg2njmt69fUsWLVoUixYt2uI522yzTfz617+OCy64IBKJRA0lAwAAAAAAAAAAAAAqok4W3FetWpW6vc0222RkzqVLl6Zut2jRIiNz1hZ/+9vfYurUqalx48aN46STTqrxHB06dIiRI0fG2LFj4//+7//i66+/3uo13bp1i1NPPTXOPvvs6Ny5cw2kBAAAAAAAAAAAAAAqq04W3Nu3b5+6vXDhwirPV1paGl9++WVq3K5duyrPWZv813/9VySTyYzP27179wrNW1BQEOeee26ce+65ERExd+7cmDRpUsyaNSsWLlwYxcXF0bhx42jdunUUFhbGXnvtpdQOAAAAAAAAAAAAALVInSy4d+rUKSIikslkzJw5M5YuXRotW7as9HwfffRRFBUVpcbf/e53q5yRquvUqVPq3zUAAAAAAAAAAAAAUPvlZTtAdejbt280bNgwEolEJJPJeOKJJ6o0391335263apVq+jdu3dVIwIAAAAAAAAAAAAAsIE6WXBv2bJl9O3bN5LJZCSTyfjNb34TxcXFlZrr/fffj7/85S+RSCQikUjEkCFDMpwWAAAAAAAAAAAAAICIOlpwj4i46KKLIiIikUjE9OnT4+STT46SkpIKzfHpp5/GMcccE6WlpZFMJiORSMTll19eHXEBAAAAAAAAAAAAAOq9Oltw/9GPfhT7779/JJPJiIh47rnnok+fPvHGG29s9do5c+bEFVdcEf/1X/8Vc+fOTZXbTz755Nh1112rOzoAAAAAAAAAAAAAQL3UMNsBqtNjjz0Wffr0iZkzZ0bE2h3ZBw0aFB07dozevXtHRKTK67/+9a/jtttuiylTpsTkyZPT7ksmk/H9738//vjHP2btdwEAAAAAAAAAAAAAqOvqdMG9ffv28eqrr8YRRxwRX3zxRaqsPnfu3HjppZdS5yWTyRg7dmzq9jrrzv/BD34Qzz33XBQUFNT47wAAAAAAAAAAAAAAUF/kZTtAdfvOd74T48ePjzPPPDMaNGgQEWuL6+v+d93POuuPGzRoEGeeeWa89957se2229Z8eAAAAAAAAAAAAACAeqTOF9wjIgoKCuKuu+6KadOmxaWXXhq77rprRKzdrX1TPzvssEP893//d0yaNCnuuuuuyM/Pz/JvAAAAAAAAAAAAAABQ9zXMdoCatN1228VNN90UN910UyxZsiQmTZoUixYtiiVLlkSTJk2iXbt20aNHD7u1AwAAAAAAAAAAAABkQb0quK+vVatW0adPn2zHAAAAAAAAAAAAAADg/8vLdgAAAAAAAAAAAAAAAIhQcAcAAAAAAAAAAAAAIEc0zHaAbFu+fHmsWLEimjVrFs2bN892HAAAAAAAAAAAAACAeqteFdyXL18eDz/8cLz11lvxwQcfxMyZM6OsrCx1f15eXnTr1i1++MMfxv777x8nnnhitGjRIouJAQAAAAAAAAAAAADqj3pRcF+2bFlceeWVcf/998fKlSsjIiKZTG50XmlpaUybNi2mT58ejz76aFx00UUxdOjQuPHGG6Nly5Y1HRsAAAAAAAAAAAAAoF7Jy3aA6vb222/HzjvvHHfeeWcUFxeniu2JRGKzPxFrC/DFxcVx1113xS677BJjx47N5q8BAAAAAAAAAAAAAFDn1emC+yuvvBKHHHJIzJ07N5LJZFp5PZlMRvPmzaNbt26xyy67RLdu3aJ58+ap+yLWluCTyWTMnTs3Dj300Hj55Zez+esAAAAAAAAAAAAAANRpdbbg/tVXX8UJJ5wQK1euTO3MnkwmY8CAAfHggw/GzJkzY8mSJTFt2rT45z//GdOmTYslS5bEjBkz4sEHH4wBAwakSvGJRCJWrVoVJ554Ynz11VfZ/tUAAAAAAAAAAAAAAOqkOltwv/jii2PZsmWpYnv79u3jlVdeiddffz1OPfXU6NKlyyav69q1a5x66qnx+uuvx8svvxzt27dP3bd8+fK4+OKLa+pXAAAAAAAAAAAAAACoV+pkwX3ZsmXx9NNPp8rtrVu3jvfeey8GDRpUoXkOPvjg+Nvf/hatWrVKzfX000/HsmXLqik5AAAAAAAAAAAAAED9VScL7m+99VZ8++23kUwmI5FIxM033xw77LBDpebacccd46abbopkMhkREatXr46xY8dmMi4AAAAAAAAAAAAAAFFHC+5ffvll6nZ+fn6cdNJJVZrv5JNPjoKCgkgkEhERMXv27CrNBwAAAAAAAAAAAADAxupkwX3ZsmUREZFIJKJHjx7RpEmTKs3XpEmT6NGjR2oX93XzAwAAAAAAAAAAAACQOXWy4N6mTZvU7fz8/IzMuf48rVu3zsicAAAAAAAAAAAAAAD8R50suO+6664REZFMJmPWrFkZmXPmzJmp29///vczMicAAAAAAAAAAAAAAP9RJwvue++9d7Rv3z4iIhYtWhTvvvtuleZ75513YtGiRZFIJKJdu3axzz77ZCImAAAAAAAAAAAAAADrqZMF9wYNGsSFF16YGl900UVRWlpaqbnWrFkTF110UdpceXl18h8bAAAAAAAAAAAAAEBW1dmm9kUXXRR9+/aNZDIZ48ePj6OOOiqKiooqNEdRUVEcddRRMX78+IiI2HfffdPK7gAAAAAAAAAAAAAAZE6dLbg3bNgwXnzxxTjooIMimUzGiy++GD179oy77747lixZssVrlyxZEn/84x+jZ8+e8dJLL0VExKBBg+LFF1+MBg0a1EB6AAAAAAAAAAAAAID6p2G2A1TUddddV6Hz99lnn5g8eXLMnDkzvvrqqzjnnHPivPPOi9122y123XXXaNu2bTRp0iSKi4tj4cKF8a9//Sv++c9/RklJSSSTyYiI6N69e+y9995x++23R0TE8OHDM/57AQAAAAAAAAAAAADUd7Wu4H7NNddEIpGo8HXrrkkmk7F69er46KOPYvz48Rudt67Uvv41M2fOjOuvvz51XMEdAAAAAAAAAAAAACDzal3Bvaq2Vo7f0v3JZLJS5XoAAAAAAAAAAAAAALauVhbc199lHQAAAAAAAAAAAACAuqHWFdzHjh2b7QgAAAAAAAAAAAAAAFSDWldw33///bMdAQAAAAAAAAAAAACAapCX7QAAAAAAAAAAAAAAABCh4A4AAAAAAAAAAAAAQI5QcAcAAAAAAAAAAAAAICcouAMAAAAAAAAAAAAAkBMU3AEAAAAAAAAAAAAAyAkNsx2gJn399dfxySefxKxZs2LZsmWxcuXKSCaTFZ5n+PDh1ZAOAAAAAAAAAAAAAKB+q/MF99LS0vjjH/8Y9913X0yYMCEjcyq4AwAAAAAAAAAAAABkXp0uuE+ePDmOPvro+PzzzzfaqT2RSFR4vmQyWanrAAAAAAAAAAAAAADYujpbcP/yyy9j//33j6+//jqtmL6u6L5h4R0AAAAAAAAAAAAAgOyqswX3X/7ylzFv3rxIJBKRSCQimUxGz5494/DDD4/vf//70bZt22jSpEm2YwIAAAAAAAAAAEBWdL/8xWxHALJgxk2HZjsCbFGdLLh/9dVX8fzzz6eK7fn5+XHXXXfFaaedlu1oAAAAAAAAAAAAAABsRp0suL/11luRTCYjIiKRSMTtt9+u3A4AAAAAAAAAAAAAkOPysh2gOnz11Vep282aNYthw4ZlMQ0AAAAAAAAAAAAAAOVRJwvu6+/evuOOO0ajRo2ynAgAAAAAAAAAAAAAgK2pkwX3zp07p26XlZVlMQkAAAAAAAAAAAAAAOVVJwvue++9d0Ss3cl95syZqR3dAQAAAAAAAAAAAADIXXWy4L7DDjtEnz59IiJi6dKl8fbbb2c5EQAAAAAAAAAAAAAAW1MnC+4REb/+9a8jkUhERMQVV1wRpaWlWU4EAAAAAAAAAAAAAMCW1NmCe//+/WP48OGRTCbjgw8+iJNPPjlWrVqV7VgAAAAAAAAAAAAAAGxGnS24R0SMGDEitZP7448/Hrvvvns88MADsXTp0mxHAwAAAAAAAAAAAABgAw2zHaC6XX755dGvX7/46U9/GpMnT46f/exncfrpp0ePHj2iffv2kZ+fX6H5EolEvPHGG9WUFgAAAAAAAAAAAACg/qrzBfepU6fGyJEjY9q0aZFIJCKZTEYymYypU6fGtGnTKjRXMpmMRCJRTUkBAAAAAAAAAAAAAOq3Ol1wf/bZZ+OUU06J4uLiVDldQR0AAAAAAAAAAAAAIDfV2YL7+++/H8cdd1yUlJRERKR2bwcAAAAAAAAAAAAAIDflZTtAdfnFL34RJSUlqR3bGzduHGeddVa89NJLMWvWrCgqKoqysrIK/5SWlmb5NwMAAAAAAAAAAAAAqJvq5A7uEyZMiE8++SS1a3u3bt3itddei+985zvZjgYAAAAAAAAAAAAAwGbUyR3cP/jgg4iISCaTkUgk4p577lFuBwAAAAAAAAAAAADIcXWy4L5w4cLU7fbt28dBBx2UxTQAAAAAAAAAAAAAAJRHnSy4t2nTJiIiEolEdOvWLctpAAAAAAAAAAAAAAAojzpZcN92221Tt4uKirKYBAAAAAAAAAAAAACA8qqTBfe+fftG48aNI5lMxvTp02PVqlXZjgQAAAAAAAAAAAAAwFbUyYJ7mzZt4vDDD4+IiFWrVsUTTzyR5UQAAAAAAAAAAAAAAGxNnSy4R0Rcf/31UVBQEBERV1xxRXz99ddZTgQAAAAAAAAAAAAAwJbU2YJ7z54946GHHopGjRrFnDlzYsCAAfHZZ59lOxYAAAAAAAAAAAAAAJtRZwvuERFHHHFEvPnmm9G9e/eYOHFi7LHHHvGTn/wknnvuuZgzZ06sXr062xEBAAAAAAAAAAAAAPj/GmY7QHVp0KDBRsdWr14df/3rX+Ovf/1rpedNJBKxZs2aqkSjGiSTyfj444/j008/jfnz50dERIcOHWL33XeP3r17RyKRyHJCAAAAAAAAAAAAAGBr6mzBPZlMpm4nEolUwXn942zeNddcE9dee22lrz/ttNPigQceyFygzSgpKYmRI0fGHXfcEXPmzNnkOdttt12cf/75ce6550ajRo2qPRMAAAAAAAAAAAAAUDl52Q5QndYvta/7qepc5I4vv/wy+vTpE5dccslmy+0REbNnz46LL7449tlnny2eBwAAAAAAAAAAAABkV53dwb1fv35K6XXY/Pnzo3///jF16tS04wUFBbH99ttHWVlZTJ8+PVatWpW6b/z48dG/f/8YN25ctGvXrqYjAwAAAAAAAAAAAABbUWcL7m+99Va2I9Qpv/vd72L33Xcv9/mdO3euxjQRQ4cOTSu35+fnx0033RRnnHFGNGnSJCIiioqK4k9/+lP86le/ShXdJ0+eHMOGDYvnnnuuWvMBAAAAAAAAAAAAABVXZwvuZNYee+wRBxxwQLZjRETEa6+9Fi+//HJq3KhRo3j11VejX79+aec1bdo0Lrjggujdu3cMHDgwSkpKIiLi+eefj7Fjx0b//v1rNDcAAAAAAAAAAAAAsGV52Q4AFXX11VenjS+//PKNyu3r23///eOyyy5LO3bVVVdVSzYAAAAAAAAAAAAAoPIU3KlV/vnPf8YHH3yQGjdt2jQuueSSrV536aWXRtOmTVPjcePGxcSJE6slIwAAAAAAAAAAAABQOQru1CrPPvts2vi4446L5s2bb/W65s2bx7HHHpt27JlnnslkNAAAAAAAAAAAAACgihTcqVVefPHFtPGgQYPKfe3AgQPTxi+88EJGMgEAAAAAAAAAAAAAmaHgTq2RTCbjH//4R9qxvn37lvv6fffdN208YcKESCaTGckGAAAAAAAAAAAAAFRdw2wHqC4DBgyolnkTiUS88cYb1TJ3rvv2229j2rRpsWjRomjUqFG0bds2OnfuHE2aNKmRx585c2YUFxenxk2bNo2uXbuW+/pu3bpFkyZNUnMUFRXFl19+WaE5AAAAAAAAAAAAAIDqU2cL7m+99VYkEomMzplMJjM+Z23xi1/8IqZNmxarVq1KO96wYcPYY489YsiQIXHOOedE+/btqy3DpEmT0sZdunSp8BxdunRJm2fSpEkK7gAAAAAAAAAAAACQI/KyHSCXJZPJ1E999/nnn29Ubo+IWLNmTfz973+Pa665Jrp16xbDhw+P0tLSaskwf/78tPF2221X4Tm23XbbLc4JAAAAAAAAAAAAAGRPnd3BPSKqXExft1u7knv5rFy5Mq6//vp499134/nnn49mzZpldP4VK1akjZs2bVrhOTa8ZsM5K2v+/PmxYMGCCl0zZcqUjDw2AAAAAAAAAAAAANQVdbbgXlZWVuFrVq5cGQsWLIgPP/wwHn300Xj66aejrKwsdtxxx3jssceiV69emQ+awxKJROyzzz5x6KGHxg9/+MPYeeedo02bNpGXlxeLFi2Kjz/+OF544YV48MEH03Z3f+utt+KEE06IZ599Nho0aJCxPBuW0fPz8ys8R0FBwRbnrKw777wzrr322ozMBQAAAAAAAAAAAAD1VV62A+SSgoKC6Nq1axxzzDHx2GOPxbhx46Jbt24xderU2H///eO9997LdsQaM2jQoPjiiy/ivffei1/96ldx0EEHxbbbbhsFBQWxzTbbROfOneOwww6LP/7xjzF58uTYd999065/8cUX484778xopvVL9BERjRs3rvAc22yzTdp45cqVVcoEAAAAAAAAAAAAAGSOgvsW7LXXXjFmzJho3bp1LF++PI488siYN29etmPViL59+8Z3v/vdcp273Xbbxeuvvx777LNP2vEbbrghiouLM5Zpwx3bV69eXeE5vv322y3OCQAAAAAAAAAAAABkT8NsB8h1O+ywQ1x11VVx4YUXxuLFi+Pyyy+PBx54INuxck5+fn6MHj06dt5551izZk1ERMyfPz9ee+21OPLIIzPyGM2aNUsbb7ije3lsuGP7hnNW1jnnnBPHHntsha6ZMmVKxv7ZAAAAAAAAAAAAAEBdoOBeDqeddlpcfPHFUVZWFg8//HCMHDkyWrZsme1YOWfHHXeMww8/PJ566qnUseosuBcVFVV4jg2vyVTBvbCwMAoLCzMyFwAAAAAAAAAAAADUV3nZDlAbtG7dOrbffvuIiFizZk28/fbbWU6Uuw488MC08aRJkzI294YF8tmzZ1d4jjlz5mxxTgAAAAAAAAAAAAAgexTcy6lNmzap21OnTs1iktzWpUuXtPGCBQsyNnfPnj3Txl9++WWF59jwmp122qlKmQAAAAAAAAAAAACAzFFwL6clS5akbq9atSp7QXJco0aN0sYlJSUZm7tbt25RUFCQGhcVFcXMmTPLff3MmTOjuLg4NW7atOlGhXwAAAAAAAAAAAAAIHsU3Mth7ty5MXny5EgkEhER0bZt2ywnyl3z5s1LG7dv3z5jcycSidhtt93Sjo0bN67c17/33ntp49122y317xQAAAAAAAAAAAAAyD4F93K46qqrIplMRjKZjIiI73znO1lOlLv+9re/pY0zvUP6YYcdljYeM2ZMua/d8Nwf/ehHGckEAAAAAAAAAAAAAGSGgvsWLFu2LM4666y4//77Uzt9N2vWLPbbb78sJ8tNS5YsiSeffDLt2IEHHpjRxzj88MPTxo8//nisWLFiq9ctX748Hn/88bRjRxxxREazAQAAAAAAAAAAAABV0zDbAarL6NGjK3XdypUr4+uvv45PPvkkxowZEytXroyIiGQyGYlEIs4///xo2LDO/mOrkosvvjiWLFmSGjdu3DiGDBmS0cfYbbfdYq+99ooPP/wwIiJWrFgRt9xyS1x33XVbvO6WW26JoqKi1HjvvfeOXXbZJaPZAAAAAAAAAAAAAICqqbNN7aFDh6Z2Xa+sZDIZERGJRCKSyWTstddecfnll2ciXk676aabYuDAgbHHHnuU6/w1a9bEZZddFvfdd1/a8bPOOis6deq0xWs3/Hc0duzYOOCAA7Z4zXXXXZdWnL/pppvioIMOin79+m3y/LfffjtuvvnmtGM33HDDFh8DAAAAAAAAAAAAAKh5edkOUN2SyWSFf9ZZV75OJpNx2GGHxcsvvxwFBQXZ+lVqzCuvvBJ77rln7LvvvjFy5Mj417/+FWvWrNnovKVLl8bDDz8ce+21V9x2221p9+2www4xfPjwask3ePDgGDRoUGpcUlISBx98cIwcOTKKi4tTx4uKiuKOO+6IwYMHR0lJSer4IYccEgceeGC1ZAMAAAAAAAAAAAAAKq/O7uAeEWll9cpc16RJkzj44IPjjDPOiMGDB2cyWq0wbty4GDduXEREbLPNNrHddttFy5Yto0GDBrFo0aKYMWNGlJWVbXRdx44d4+WXX462bdtWW7bRo0fHPvvsE9OnT4+IiFWrVsX5558fV1xxRWy//faRTCZj2rRpsWrVqrTrdthhh3jggQeqLRcAAAAAAAAAAAAAUHl1tuB+//33V/iaRCIR+fn50aJFi+jWrVv07Nkz8vLq/Cb35fLtt9/G1KlTt3reIYccEvfff38UFhZWa54OHTrE2LFj44gjjogJEyakjq9cuTI+++yzTV7Tq1eveO6556J9+/bVmg0AAAAAAAAAAAAAqJw6W3A/7bTTsh2h1rryyitj5513jnfffTe++OKLKC0t3eL5zZo1iyFDhsR///d/R79+/WooZUS3bt3igw8+iDvuuCNGjhwZX3311SbP69y5c5x//vlx3nnnRePGjWssHwAAAAAAAAAAAABQMXW24E7lDRw4MAYOHBgREcXFxfH555/HjBkzYu7cubFixYooKyuLVq1aRevWrWOXXXaJ73//+9GgQYNKPVYymaxS1saNG8ell14aF198cYwfPz4mTJgQ8+fPj4iIwsLC6NWrV/Tu3dtO/AAAAAAAAAAAAABQCyi4s0VNmjSJPffcM/bcc89sR9mivLy82GuvvWKvvfbKdhQAAAAAAAAAAAAAoJJsaw0AAAAAAAAAAAAAQE5QcAcAAAAAAAAAAAAAICcouAMAAAAAAAAAAAAAkBMaZjtAZS1btixrj92iRYusPTYAAAAAAAAAAAAAQF1VawvurVq1ikQiUeOPm0gkYs2aNTX+uAAAAAAAAAAAAAAAdV2tLbhHRCSTyWxHAAAAAAAAAAAAAAAgQ2p1wb26d3BPJpNpj6FQDwAAAAAAAAAAAABQfWptwb1r167VXnAvKSmJr776qtofBwAAAAAAAAAAAACAWlxwnzFjRrXNXVZWFn/+85/j2muvrbbHAAAAAAAAAAAAAAAgXa0tuFeXJ598MoYPHx5ffPFFRERq9/ZkMhkREUceeWS2ogEAAAAAAAAAAAAA1Gl52Q6QK15++eXYY4894rjjjouJEyemCu3JZDKSyWQMHDgwPvjgg3jyySeznBQAAAAAAAAAAAAAoG6q9zu4v/POO3HllVfGuHHjImJtoT2RSKSK7fvuu2/ceOON0a9fvywnBQAAAAAAAAAAAACo2+ptwf2jjz6KK6+8Ml5//fWI+E+xfV25/Qc/+EHccMMNMWTIkCwnBQAAAAAAAAAAAACoH/KyHaCmffbZZ3H00UdHnz594vXXX49kMhkRkSq29+zZMx577LEYP368cjsAAAAAAAAAAAAAQA2qNzu4T506NUaMGBGPPvpolJWVbbRje/fu3eOaa66JU045JfLy6l3vHwAAAAAAAAAAAAAg6+p8wX3OnDlx3XXXxQMPPBBr1qzZqNjeqVOnuOqqq+L000+PRo0aZTsuAAAAAAAAAAAAAEC9VWcL7gsWLIhf//rXcffdd8e33367UbG9bdu2cdlll8V///d/R35+frbjAgAAAAAAAAAAAADUe3Wu4L506dL47W9/G7///e+jqKhoo2J78+bN48ILL4wLL7wwmjdvnu24AAAAAAAAAAAAAAD8f3Wm4F5cXBx33HFH/O53v4ulS5dGMpmMiEgV2wsKCuIXv/hFXH755dGmTZsspwUAAAAAAAAAAAAAYEO1vuC+evXquOuuu+I3v/lNLFiwYKNie8OGDeOMM86Iq666Kjp27JjltAAAAAAAAAAAAAAAbE6tLbiXlpbGqFGj4vrrr485c+ZsVGzPy8uLU045JUaMGBHdu3fPblgAAAAAAAAAAAAAALaq1hbcd9ppp5g2bdpGxfaIiB//+Mdx3XXXxU477ZTNiAAAAAAAAAAAAAAAVECtLbhPnTo1EolEWrF93333jRtuuCF+8IMfRETEsmXLquWxW7RoUS3zAgAAAAAAAAAAAADUZ7W24L6hZDIZ48aNiwEDBlTr4yQSiVizZk21PgYAAAAAAAAAAAAAQH1UJwruiUQiIiK1kzsAAAAAAAAAAAAAALVPnSi4r7Ou6F5dFOgBAAAAAAAAAAAAAKpPrS24d+3atdoL7QAAAAAAAAAAAAAA1JxaW3CfMWNGtiMAAAAAAAAAAAAAAJBBedkOAAAAAAAAAAAAAAAAEQruAAAAAAAAAAAAAADkCAV3AAAAAAAAAAAAAABygoI7AAAAAAAAAAAAAAA5QcEdAAAAAAAAAAAAAICcoOAOAAAAAAAAAAAAAEBOUHAHAAAAAAAAAAAAACAnKLgDAAAAAAAAAAAAAJATFNwBAAAAAAAAAAAAAMgJCu4AAAAAAAAAAAAAAOQEBXcAAAAAAAAAAAAAAHKCgjsAAAAAAAAAAAAAADlBwR0AAAAAAAAAAAAAgJyg4A4AAAAAAAAAAAAAQE5QcAcAAAAAAAAAAAAAICcouAMAAAAAAAAAAAAAkBMU3AEAAAAAAAAAAAAAyAkK7gAAAAAAAAAAAAAA5AQFdwAAAAAAAAAAAAAAcoKCOwAAAAAAAAAAAAAAOUHBHQAAAAAAAAAAAACAnKDgDgAAAAAAAAAAAABATlBwBwAAAAAAAAAAAAAgJyi4AwAAAAAAAAAAAACQExTcAQAAAAAAAAAAAADICQruAAAAAAAAAAAAAADkBAV3AAAAAAAAAAAAAABygoI7AAAAAAAAAAAAAAA5QcEdAAAAAAAAAAAAAICcoOAOAAAAAAAAAAAAAEBOUHAHAAAAAAAAAAAAACAnKLgDAAAAAAAAAAAAAJATFNwBAAAAAAAAAAAAAMgJCu4AAAAAAAAAAAAAAOQEBXcAAAAAAAAAAAAAAHKCgjsAAAAAAAAAAAAAADlBwR0AgrPW0AABAABJREFUAAAAAAAAAAAAgJyg4A4AAAAAAAAAAAAAQE5QcAcAAAAAAAAAAAAAICcouAMAAAAAAAAAAAAAkBMU3AEAAAAAAAAAAAAAyAkK7gAAAAAAAAAAAAAA5AQFdwAAAAAAAAAAAAAAckLDbAcg9yWTyZgxY0b885//jNmzZ8eSJUtim222idatW8d3vvOd2GuvvSI/Pz/bMQEAAAAAAAAAAACAWk7BnU365ptv4plnnolXXnkl3nzzzVi4cOFmz23UqFEceuihcf7558f+++9fI/m6d+8eM2fOrPT1Y8eOjQMOOCBzgQAAAAAAAAAAAACAKsvLdgByzy9+8Yvo2LFjDBs2LB577LEtltsjIkpKSuKZZ56JAw44IE477bRYtmxZDSUFAAAAAAAAAAAAAOoSO7izkb///e+xevXqjY43aNAgOnXqFB06dIiSkpKYOXNmLF26NO2c0aNHxxdffBFvvPFGNGvWrKYiAwAAAAAAAAAAAAB1gII7W9SqVas46aST4tBDD4399tsvmjdvnrqvtLQ03n333Rg+fHi8++67qeMffPBBDB06NJ544okaydihQ4f4y1/+UqFrdt9992pKAwAAAAAAAAAAAABUloI7m9S9e/e46qqr4qSTToqCgoJNntOgQYM44IADYuzYsXHOOefEn/70p9R9Tz75ZIwdOzb69+9f7Vnz8/PjoIMOqvbHAQAAAAAAAAAAAACqV162A5B7rr322pg0aVL87Gc/22y5fX0NGjSIO++8M/bcc8+04/fee291RQQAAAAAAAAAAAAA6iAFdzZy6KGHRuPGjSt0TYMGDeLSSy9NO/bqq69mMhYAAAAAAAAAAAAAUMcpuJMx++23X9p40aJFUVxcnKU0AAAAAAAAAAAAAEBto+BOxrRu3XqjY0uXLs1CEgAAAAAAAAAAAACgNlJwJ2PmzJmz0bG2bdtmIQkAAAAAAAAAAAAAUBs1zHYA6o533303bdytW7do3LhxjT3+woULY/bs2bFs2bJo0aJFtG3bNrbbbrtIJBI1lgEAAAAAAAAAAAAAqDwFdzJm1KhRaeNDDjmkRh53/vz5scsuu8TEiRM3uq9Nmzax3377xUknnRTHHHNMNGjQoEYyAQAAAAAAAAAAAAAVl5ftANQNL730Urzzzjtpx4YOHVojj71y5cpNltsjIhYvXhzPPvtsHH/88dGzZ894++23ayQTAAAAAAAAAAAAAFBxdnCnyhYvXhxnnnlm2rEjjzwyfvjDH2Yp0aZNnTo1DjzwwLj11lvjvPPOy+jc8+fPjwULFlTomilTpmQ0AwAAAAAAAAAAAADUdgruVElZWVmccsopMXv27NSxli1bxu9///tqf+wWLVrE4MGD4+CDD47dd989evToES1atIji4uL46quvYty4cXH//ffH3/72t9Q1paWlccEFF0SHDh3ihBNOyFiWO++8M6699tqMzQcAAAAAAAAAAAAA9ZGCO1VyySWXxMsvv5x27O67744uXbpU6+P+9re/jSFDhkSzZs02uq9FixbRokWL2GmnnWLYsGHx9NNPx7Bhw2LJkiUREZFMJuNnP/tZHHDAAdGxY8dqzQkAAAAAAAAAAAAAlF9etgNQe/3+97+P2267Le3YpZdeGscff3y1P/axxx67yXL7phx11FHx8ssvR0FBQepYcXFx3HjjjdUVDwAAAAAAAAAAAACoBDu4UykPPfRQnH/++WnHhg4dGjfddFN2Am3F3nvvHZdeemlce+21qWMPPfRQjBw5MvLyqv45j3POOSeOPfbYCl0zZcqUOPLII6v82AAAAAAAAAAAAABQVyi4U2EvvPBCnHbaaZFMJlPHjj766Lj33nsjkUhkMdmWnXfeeXHDDTdEaWlpREQsXrw4Pvroo/jhD39Y5bkLCwujsLCwyvMAAAAAAAAAAAAAQH1W9a2rqVfGjh0bxx57bKxZsyZ1bODAgfHwww9HgwYNsphs61q3bh29e/dOOzZp0qQspQEAAAAAAAAAAAAANqTgTrn9/e9/j8MPPzxWrVqVOta3b994+umno3HjxllMVn5dunRJGy9YsCBLSQAAAAAAAAAAAACADSm4Uy7/+Mc/YsiQIbFixYrUsR/84Afx0ksvRdOmTbOYrGIaNWqUNi4pKclSEgAAAAAAAAAAAABgQwrubNWkSZNi4MCB8c0336SO7bzzzvHqq69Gy5Yts5is4ubNm5c2bt++fZaSAAAAAAAAAAAAAAAbUnBni2bOnBkHHXRQzJ8/P3WsR48eMWbMmFpXDv/222/jww8/TDvWpUuXLKUBAAAAAAAAAAAAADak4M5mzZ07Nw488MCYPXt26ti2224bb7zxRmy77bZZTFY5jzzySBQXF6fG22yzTey7775ZTAQAAAAAAAAAAAAArE/BnU1avHhxDBw4MKZOnZo61r59+xgzZkz06NEji8kqZ968eXHllVemHRs0aFA0adIkS4kAAAAAAAAAAAAAgA0puLOR5cuXx+DBg+Ozzz5LHWvVqlW89tprsfPOO2f0sWbMmBGJRCLtZ8aMGZs9f+7cuTFixIj45ptvKvQYgwcPjjlz5qSOJRKJuOaaa6qQHAAAAAAAAAAAAADItIbZDkDuOfzww+PDDz9MO3bhhRfGwoUL4/XXX6/QXHvssUe0bt06Y9m+/fbbuO666+K2226Lww8/PI455pjYe++9o3PnzhudO2XKlHjggQfiD3/4QyxdujTtvvPOOy969+6dsVwAAAAAAAAAAAAAQNUpuLORt956a6Njw4cPr9RcY8eOjQMOOKBqgTZhxYoV8dBDD8VDDz0UERFt27aNwsLCaNGiRaxcuTLmzp0bCxYs2OS1xx57bNx6660ZzwQAAAAAAAAAAAAAVI2CO3XCokWLYtGiRVs8Z5tttolf//rXccEFF0QikaihZAAAAAAAAAAAAABAeSm4U6t06NAhRo4cGWPHjo3/+7//i6+//nqr13Tr1i1OPfXUOPvss6Nz5841kBIAAAAAAAAAAAAAqAwFdzaSTCZr7LG6d+9eoccrKCiIc889N84999yIiJg7d25MmjQpZs2aFQsXLozi4uJo3LhxtG7dOgoLC2OvvfZSagcAAAAAAAAAAACAWkLBnVqtU6dO0alTp2zHAAAAAAAAAAAAAAAyIC/bAQAAAAAAAAAAAAAAIELBHQAAAAAAAAAAAACAHKHgDgAAAAAAAAAAAABATlBwBwAAAAAAAAAAAAAgJyi4AwAAAAAAAAAAAACQExTcAQAAAAAAAAAAAADICQruAAAAAAAAAAAAAADkBAV3AAAAAAAAAAAAAABygoI7AAAAAAAAAAAAAAA5QcEdAAAAAAAAAAAAAICcoOAOAAAAAAAAAAAAAEBOUHAHAAAAAAAAAAAAACAnKLgDAAAAAAAAAAAAAJATFNwBAAAAAAAAAAAAAMgJCu4AAAAAAAAAAAAAAOQEBXcAAAAAAAAAAAAAAHKCgjsAAAAAAAAAAAAAADlBwR0AAAAAAAAAAAAAgJyg4A4AAAAAAAAAAAAAQE5QcAcAAAAAAAAAAAAAICcouAMAAAAAAAAAAAAAkBMU3AEAAAAAAAAAAAAAyAkK7gAAAAAAAAAAAAAA5AQFdwAAAAAAAAAAAAAAcoKCOwAAAAAAAAAAAAAAOUHBHQAAAAAAAAAAAACAnKDgDgAAAAAAAAAAAABATlBwBwAAAAAAAAAAAAAgJyi4AwAAAAAAAAAAAACQExTcAQAAAAAAAAAAAADICQruAAAAAAAAAAAAAADkBAV3AAAAAAAAAAAAAABygoI7AAAAAAAAAAAAAAA5QcEdAAAAAAAAAAAAAICcoOAOAAAAAAAAAAAAAEBOUHAHAAAAAAAAAAAAACAnKLgDAAAAAAAAAAAAAJATFNwBAAAAAAAAAAAAAMgJCu4AAAAAAAAAAAAAAOQEBXcAAAAAAAAAAAAAAHKCgjsAAAAAAAAAAAAAADlBwR0AAAAAAAAAAAAAgJyg4A4AAAAAAAAAAAAAQE5QcAcAAAAAAAAAAAAAICcouAMAAAAAAAAAAAAAkBMU3AEAAAAAAAAAAAAAyAkK7gAAAAAAAAAAAAAA5AQFdwAAAAAAAAAAAAAAcoKCOwAAAAAAAAAAAAAAOUHBHQAAAAAAAAAAAACAnKDgDgAAAAAAAAAAAABATlBwBwAAAAAAAAAAAAAgJyi4AwAAAAAAAAAAAACQExTcAQAAAAAAAAAAAADICQruAAAAAAAAAAAAAADkBAV3AAAAAAAAAAAAAABygoI7AAAAAAAAAAAAAAA5QcEdAAAAAAAAAAAAAICcoOAOAAAAAAAAAAAAAEBOUHAHAAAAAAAAAAAAACAnKLgDAAAAAAAAAAAAAJATFNwBAAAAAAAAAAAAAMgJCu4AAAAAAAAAAAAAAOQEBXcAAAAAAAAAAAAAAHKCgjsAAAAAAAAAAAAAADlBwR0AAAAAAAAAAAAAgJyg4A4AAAAAAAAAAAAAQE5QcAcAAAAAAAAAAAAAICcouAMAAAAAAAAAAAAAkBMU3AEAAAAAAAAAAAAAyAkK7gAAAAAAAAAAAAAA5ISG2Q5A7TJ16tT44IMPYvbs2bF69epo3bp17LTTTtG3b9/Iz8/PWq5kMhkff/xxfPrppzF//vyIiOjQoUPsvvvu0bt370gkElnLBgAAAAAAAAAAAACUj4I75fLMM8/E9ddfHx9//PEm72/WrFkMHTo0RowYEe3atauxXCUlJTFy5Mi44447Ys6cOZs8Z7vttovzzz8/zj333GjUqFGNZQMAAAAAAAAAAAAAKiYv2wHIbd9++22ccsopcdRRR2223B4RsWLFivjDH/4Qu+yyS7zzzjs1ku3LL7+MPn36xCWXXLLZcntExOzZs+Piiy+OffbZZ4vnAQAAAAAAAAAAAADZpeDOZpWVlcXxxx8ff/3rX9OON2jQIHr06BG9evWKli1bpt23YMGCGDJkSPzf//1ftWabP39+9O/fPz755JO04wUFBfG9730vdt5558jPz0+7b/z48dG/f/9YuHBhtWYDAAAAAAAAAAAAACpHwZ3N+u1vfxvPPvts2rGzzjorZs2aFdOmTYtPPvkkFi9eHE899VR07do1dU5xcXEcd9xxsXTp0mrLNnTo0Jg6dWpqnJ+fH3fccUcsXLgw/vWvf8Xnn38eCxcujNtuuy2t6D558uQYNmxYteUCAAAAAAAAAAAAACpPwZ1NWrRoUdx4441px37zm9/EXXfdFZ07d04dy8vLi6OOOirGjRsX3bt3Tx2fPXt23HbbbdWS7bXXXouXX345NW7UqFG8+uqrcd5550WTJk1Sx5s2bRoXXHBBvPLKK9GoUaPU8eeffz7Gjh1bLdkAAAAAAAAAAAAAgMpTcGeTbrnllli+fHlq3K9fv7jssss2e/62224b9957b9qx22+/PRYtWpTxbFdffXXa+PLLL49+/fpt9vz9999/o+xXXXVVxnMBAAAAAAAAAAAAAFWj4M5GysrK4v777087ds0110QikdjidQceeGDst99+qfHy5cvjsccey2i2f/7zn/HBBx+kxk2bNo1LLrlkq9ddeuml0bRp09R43LhxMXHixIxmAwAAAAAAAAAAAACqRsGdjYwbNy4WLFiQGm+//fZxwAEHlOvan/3sZ2njZ555JoPJIp599tm08XHHHRfNmzff6nXNmzePY489Nu1YprMBAAAAAAAAAAAAAFWj4M5GXnzxxbTxwIEDt7p7+/rnru+tt96KoqKiass2aNCgcl+7YbYXXnghI5kAAAAAAAAAAAAAgMxQcGcjn376adq4b9++5b62c+fO0b1799R49erV8fnnn2ckVzKZjH/84x+VzrbvvvumjSdMmBDJZDIj2QAAAAAAAAAAAACAqlNwZyMTJ05MG++yyy4Vun7D8zecr7JmzpwZxcXFqXHTpk2ja9eu5b6+W7du0aRJk9S4qKgovvzyy4xkAwAAAAAAAAAAAACqTsGdNCtXroxZs2alHevSpUuF5tjw/EmTJlU516bmqWiuTV2TqWwAAAAAAAAAAAAAQNUpuJNm4cKFkUwmU+NGjRpFYWFhhebYdttt08bz58/PSLYN59luu+0qPEd1ZQMAAAAAAAAAAAAAqq5htgOQW1asWJE2btKkSSQSiQrN0bRp0y3OWVkbzrPh45RHdWWbP39+LFiwoELXfP7552njKVOmZCQLuW31gpnZjgBkwWeffZbtCFlj3YP6qT6vexHWPqiPrHvWPahvrHvWPahvrHvWPaiP6vPaZ92D+sm6B9Q39Xndq0827KV+++23WUpScQrupNmw8J2fn1/hOQoKCrY4Z2XlcrY777wzrr322irNceSRR2YkCwC5Z9dR2U4AULOse0B9Y90D6hvrHlDfWPeA+sjaB9Q31j2gvrHu1U9ffvll9O7dO9sxyiUv2wHILatWrUobN27cuMJzbLPNNmnjlStXVinTOrmcDQAAAAAAAAAAAACoOgV30my4K/rq1asrPMeGX2FQmZ3WNyWXswEAAAAAAAAAAAAAVdcw2wHILc2aNUsbb7hrenlsuCv6hnNWVi5nO+ecc+LYY4+t0DXLli2Ljz76KFq0aBGtWrWKLl26bLTDPFD7TZkyJY488sjU+Jlnnokdd9wxe4EAaoC1D6hvrHtAfWPdA+ob6x5Q31j3gPrGugfUR9Y+qB++/fbb+PLLL1Pj/fffP4tpKkbBnTQbFr6Li4sjmUxGIpEo9xxFRUVbnDNT2TZ8nPKormyFhYVRWFhY4ev22WefjDw+UHvsuOOO8b3vfS/bMQBqlLUPqG+se0B9Y90D6hvrHlDfWPeA+sa6B9RH1j6ou3r37p3tCJWSl+0A5JZ27dqlldlLSkpi/vz5FZpjzpw5aePKFL83ZcN5Zs+eXeE5qisbAAAAAAAAAAAAAFB1Cu6kKSgoiK5du6YdmzVrVoXm2PD8nXbaqcq5IiJ69uyZNl7/axPKa8NrMpUNAAAAAAAAAAAAAKg6BXc2smHp+/PPP6/Q9RMnTtzifJXVrVu3KCgoSI2Liopi5syZ5b5+5syZUVxcnBo3bdo0unTpkpFsAAAAAAAAAAAAAEDVKbizkV69eqWNx40bV+5r586dGzNmzEiNGzVqFLvssktGciUSidhtt90qne29995LG++2226RSCQykg0AAAAAAAAAAAAAqDoFdzZy2GGHpY1ff/31SCaT5br2tddeSxv3798/mjVrVm3ZxowZU+5rNzz3Rz/6UUYyAQAAAAAAAAAAAACZoeDORvr27Rvt2rVLjadNmxZvvfVWua6977770sZHHHFEJqPF4YcfnjZ+/PHHY8WKFVu9bvny5fH4449XazYAAAAAAAAAAAAAoGoU3NlIXl5eDB06NO3Ytddeu9Vd3N9444149913U+PmzZvHcccdl9Fsu+22W+y1116p8YoVK+KWW27Z6nW33HJLFBUVpcZ777137LLLLhnNBgAAAAAAAAAAAABUjYI7m3TZZZdFs2bNUuO33347br755s2eP2fOnDj99NPTjp133nlpO8FvSiKRSPspz07x1113Xdr4pptuinfeeWez528q+w033LDVxwEAAAAAAAAAAAAAapaCO5vUrl27+NWvfpV27Iorrohzzjknvvrqq9SxsrKyeOaZZ6Jv374xY8aM1PHOnTvHRRddVC3ZBg8eHIMGDUqNS0pK4uCDD46RI0dGcXFx6nhRUVHccccdMXjw4CgpKUkdP+SQQ+LAAw+slmwAAAAAAAAAAAAAQOUpuLNZl112WRx22GFpx+66667o2rVr7LDDDtG7d+9o27ZtHHXUUTFr1qzUOQUFBfHYY49Fq1atqi3b6NGjo0ePHqnxqlWr4vzzz4927drFrrvuGt/73veiXbt2ccEFF8SqVatS5+2www7xwAMPVFsuAAAAAAAAAAAAAKDyFNzZrLy8vHj88cfjhBNOSDteWloa06ZNi08++SSWLFmSdl/btm3jpZdein333bdas3Xo0CHGjh0bu+++e9rxlStXxmeffRaff/55WrE9IqJXr14xduzYaN++fbVmAwAAAAAAAAAAAAAqp2G2A5Db8vPz4+GHH44f//jHccMNN8Snn366yfOaNm0ap512WowYMSIKCwtrJFu3bt3igw8+iDvuuCNGjhwZX3311SbP69y5c5x//vlx3nnnRePGjWskG8A67du3jxEjRqSNAeo6ax9Q31j3gPrGugfUN9Y9oL6x7gH1jXUPqI+sfUCuSySTyWS2Q1B7TJkyJf7+97/HnDlzYvXq1dGqVavYeeedY9999438/Pys5SorK4vx48fHhAkTYv78+RERUVhYGL169YrevXtHXp4vKwAAAAAAAAAAAACAXKfgDgAAAAAAAAAAAABATrCtNQAAAAAAAAAAAAAAOUHBHQAAAAAAAAAAAACAnKDgDgAAAAAAAAAAAABATlBwBwAAAAAAAAAAAAAgJyi4AwAAAAAAAAAAAACQExTcAQAAAAAAAAAAAADICQruAAAAAAAAAAAAAADkBAV3AAAAAAAAAAAAAABygoI7AAAAAAAAAAAAAAA5QcEdAAAAAAAAAAAAAICcoOAOAAAAAAAAAAAAAEBOUHAHAAAAAAAAAAAAACAnNMx2AACojWbNmpW63bFjx2jcuHGl51q9enXMmzcvNe7atWuVsgEAAAAAAAAAAEBtlUgmk8lshwCA2iYvLy8SiURERIwZMyYGDBhQ6bneeOONGDRoUEREJBKJWLNmTUYyAtS0OXPmxOLFi2Pp0qVRVlYWu+++e7Rs2TLbsQAq7e67746TTz45mjVrlu0oAAAAAAAAAPWGHdwBoJKSyWSq5J6JuQBqm9WrV8df/vKXePLJJ2PcuHGxbNmytPs39wGgF198MRYtWhQREYWFhTF48OAayQtQUWeffXZcfPHFccIJJ8Tpp58effr0yXYkAAAAAAAAgDpPwR0AKilT5XaA2uiJJ56IX/7ylzF//vyI2PiDOltaIz/99NMYPnx4RERss802MXfuXDu9AzmruLg4Ro0aFaNGjYrvfe978fOf/zxOOeWUaNWqVbajAQAAQJp33nkna4/dr1+/rD02AAAAdU8iactYAKiwvLy8VHlzczsUl9cbb7wRAwcOjIi1hdDS0tKMZASoLhdccEH8/ve/T5XaE4nERrcTicRm18dvvvkmtttuu1i5cmUkEom466674uc//3mN/g4A5bH+c77117ltttkmfvzjH8fpp5/uDXwAAAByxvqvY2tSIpGINWvW1PjjAgAAUHflZTsAANR3q1atSt3Oz8/PYhKArbv++utj5MiRqRJ7RET79u3j+OOPj0suuWSjndw3pXXr1jF48ODU+IUXXqi2vABVcf7550ebNm02+hDPqlWr4q9//Wv0798/dtppp7j11ltj4cKFWU4LAAAAayWTyRr/AQAAgExScAeALJs6dWrqdosWLbKYBGDL/vnPf8a1114biUQiEolE5Ofnx//+7//G7Nmz4+GHH46bb745IqJcu0QdddRREbH2zba3337bt1cAOem2226LOXPmxEMPPZT2jRTr7+r+73//Oy699NLYbrvt4vjjj48xY8ZkKy4AAABERKT+flcTPwAAAFAdGmY7AADUZ6WlpfHnP/85Itb+wfm73/1ulhMBbN7VV18dZWVlERHRuHHjeOWVV2K//far1Fx9+/ZN3V6xYkVMnjw5dtppp4zkBMikxo0bxwknnBAnnHBCTJ8+Pe6555548MEHY+7cuRHxn13dV69eHU888UQ88cQT0b179zj99NNj6NCh0alTpyz/BgAAANQXXbt2VToHAACgTkgkfV8YAGzS6NGjN3vf0KFDU38kvuSSS2KXXXYp97zJZDKKi4tj+vTp8dxzz8XkyZMjmUxGIpGIiy++OLUDMkAuKSoqirZt20ZJSUlERFxxxRVxww03bHReXl5ean0cM2ZM2o7HG2rZsmUsX748EolEPPHEE6ld3QFyXWlpabzwwgtx7733xiuvvBKlpaVpu7pHrC2+N2jQIA499NA444wzYsiQIUoGQK1XVlYWL774Yrz88svx8ccfx5dffhlLly6NlStXVniuRCIRa9asqYaUANWjuLg45syZk1r3KvP2Wr9+/aohGQAAVVFaWhrjx4/f6HVuRZ/vJRKJuO+++6opJUDmWPeA2kLBHQA2Y/2S5obW/89nVYpK64rtyWQy8vLy4tNPP41dd9210vMBVJdXXnklDjnkkIhYu+7NmTMnOnbsuNF5FSm49+zZMyZPnhyJRCL+8Ic/xNlnn1094QGq0Zw5c2LUqFExatSomDlzZkT8Z1f3dbcjIrbddtsYNmxYDBs2LLp27Zq1vACV9cwzz8S5554bc+bMiYioVLFzfYlEIkpLSzMRDaDaTJw4Me699954+eWXY/LkyalvNasMH+wBAMgtK1asiBtvvDEeeOCBmD9/fpXmWveer9e5QC6z7gG1TV62AwBArksmkxv9bO3+8vxEpJefLrnkEuV2IGfNnj07ItauW927d99kub2iWrVqlbq9bNmyKs8HkA3bbrttXH311TFt2rR45ZVX4phjjomGDRtGRKTt6j579uy4/vrrY/vtt48hQ4bE008/7Q+/QK1xww03xDHHHBOzZ89Oez1bmQ98+zYLoDZYvXp1nH/++bHbbrvFHXfcEV988UWUlpZW+u+Am/qbIgAA2TNhwoT43ve+F7fcckt8/fXXnq8BdZ51D6iNGmY7AADksup8Qr9u7t133z0uuuiiOOWUU6rtsQCqauHChanbhYWFGZlz/Z3r8vJ89hao3RKJRAwaNCgGDRoUCxYsiAceeCBGjRoVkyZNSiu6J5PJeO211+K1116LwsLCGDZsWJx55pl2dQdy1gsvvBDDhw+PiPQP7kREdO3aNQoLC6Np06ZZyweQaWvWrIkf//jH8eKLL270rTze/AcAqP1mzZoVAwcOTL3vsf6GZJ7vAXWRdQ+orRTcAWAz7r///k0eTyaTMWzYsNQbWxdffHHssssu5Z43Ly8vmjZtGm3atInvfe970b59+4zkBahO65eWioqKMjLn+qX5tm3bZmROgFzQvn37uOSSS+LCCy+Myy+/PG699daNdjpOJpPx9ddfx0033RS33HJLHHPMMTF8+PAKPa8EqAmXXXZZRPznja/OnTvH1VdfHccdd1y0bt06y+kAMu9//ud/4oUXXkg9f1v3IcXddtstevXq5YM9AAC13GWXXRYLFy5M+xBjnz594vjjj/d8D6iTrHtAbZVI+hgOAFRYXl5e6sn/mDFjYsCAAVlOBFC9Hn300TjxxBMjIqJly5bxzTffbPK88q6P8+fPj44dO6bOff755+OQQw6phuQANW/WrFlx3333xf333x9z5szZ6P5N7QSaSCSiQYMGceGFF8aNN94YDRo0qNHMAJvyxRdfxC677JIqeO68887x9ttvR7t27bIdDaBalJWVRYcOHWLx4sWp52yDBw+O22+/PXr27JnldAAAVNWSJUuiffv2UVZWFslkMho3bhyjRo2Kk046KdvRAKqFdQ+ozezgDgCV5DNiQH2y8847p24vW7YsPv744+jdu3el53vuueciYu1ampeXF3369KlyRoBsKi0tjWeffTbuueeeGDNmTGqnz4j0r/v87ne/Gz/96U/j888/jyeeeCJWrlyZKrqvWbMmfvvb38a///3veOqpp7L2uwCs88EHH0TEfz6Ic9dddym3A3Xa+++/H4sWLUrt3n7ooYfGM888E3l5edmOBlAuF154Yer2OeecEzvuuGMW0wDknrfffjtKS0tTz/d+85vfKHkCdZp1D6jNFNwBoBKmT5+eut2xY8csJgGoGbvttlt06tQp5s2bFxERf/jDH2LUqFGVmqukpCR+97vfpQqd3//+96Nt27YZywpQk6ZMmRL33ntvPPjggzF//vyI+E8RdF2xvWHDhnHUUUfFWWedFQcccEDq2t///vcxevTouOOOO2L69Omp85999tl4+OGHU9+cAZAt69a1iIj27dtHv379spgGoPp9/vnnEfGf53O33367cjtQq9xxxx2pv7kddthhWy24L126NCZMmJAae74H1HVffvllRKx9vpefnx9nnXVWlhMBVC/rHlCb+ascAFRCt27dUj/bbLNNtuMA1Ijjjz8+tSPx6NGj47XXXqvUPL/85S/j3//+d2o349NPPz2TMQGq3erVq+Ohhx6K/v37R8+ePeO3v/1tfP3112nf8JNMJqN79+7xm9/8JmbPnh2PPPJIWrk9IqJly5bxy1/+MiZNmhTDhw9PFakiIu6///6a/JUANqm0tDQi1n4TRbdu3bKcBqD6LVy4MHW7e/fuscMOO2QxDUDlVOTbZz/66KPo379/9O/fPwYMGFCNqQByw7JlyyJi7evc73znO1FQUJDlRADVy7oH1GYK7gAAQLn86le/iubNm0cikYiysrI4+uij4/HHHy/39d98802cdNJJcc8996QKnJ06dYozzjijuiIDZNRnn30W559/fnTu3DlOPfXUeOedd1LFgXXrWoMGDeLII4+MV155JaZOnRqXXXZZtG/ffovzNmzYMK655po46qijUh8k+uSTT6r99wHYms6dO6dur1y5MotJAGpGo0aNImLtc7vCwsIspwGonHWvT8tr3evQihTjAWqrVq1apW7n5+dnLwhADbHuAbVZw2wHAAAAaod27drFbbfdFmeccUYkEokoLi6OE044IUaOHBk/+clPYo899oiI/3yV++zZs+Ojjz6KKVOmxJtvvhmPPPJIFBUVpd4sa9CgQdx///3RuHHjbP5aAFu0cuXKeOSRR+Kee+6Jv//97xERG5Xak8lkdOnSJU4//fQ4/fTTo1OnTpV6rCOOOCKefvrpiIhYsmRJ1cMDVFGfPn0iYu06N2vWrCgrK4u8PHumAHVXjx49Urc9HwMAqHt23XXX1O25c+dmMQlAzbDuAbVZIumj2ACQMcXFxTFnzpxYunRprFy5slI7nvTr168akgFkztVXXx033nhjJBKJVJl9nfXXvQ13i1r/3GQyGbfddlucf/75NZIZoDLOOuuseOSRR2L58uURsfE6lpeXF0OGDIkzzzwzDjnkkCqXPl9//fUYNGhQRKxdQ0tLS6v2CwBkwF577RXjx4+PRCIRY8aMiQEDBmQ7EkC1WbBgQXTq1CnKysqicePGsWjRomjatGm2YwGUW15eXup1a3meu73xxhsxcODAiPA6FKgf1qxZEx07dozFixdHIpGIKVOmpH3IEaCuse4BtZkd3AGgiiZOnBj33ntvvPzyyzF58uQoKyur9FyJRCLWrFmTwXQAmXf99dfH9ttvH7/85S+juLg4IjbezXj9Y+uOryvEN2nSJO677744/vjjazY4QAX96U9/2ujDPMlkMjp16hTDhg2Ln//859GlS5eMPV5Fv0YeoCbceOONMXjw4IhY+0HH/v37W6+AOqt9+/Zx+OGHxzPPPBMlJSXx5JNPxk9+8pNsxwIAIEMaNmwY5513XowYMSIiIkaOHBl33HFHdkMBVCPrHlCb2cEdACpp9erVcemll8b//u//RllZWaV2a9+QHVKA2mT69Olx8803x5///OdYuXJl2n3rF0HXadiwYZx66qlx1VVX2RkAqBXW7Xy3ruB+0EEHxZlnnhlHHHFENGjQIOOPN3369Bg9enRqvO4PzgDZdumll8bvfve7SCQS8dOf/jTuvvvualkHAXLB5MmTo1evXrFq1arYbrvt4uOPP462bdtmOxZAudjBHWDrVq9eHX369IkJEyZEo0aN4rnnnouDDz4427EAqo11D6itFNwBoBLWrFkTRx99dLz44osb7Vpclf+0+gMyUBt988038dZbb8W7774bEydOjEWLFsWSJUuiSZMm0a5du+jRo0f0798/DjrooCgsLMx2XIByy8vLi/bt28dPf/rT+PnPfx7bb799tiMBZM0VV1wRN998cyQSidhrr73iuuuui0GDBmU7FkC1eOKJJ+LEE0+MsrKy2GOPPeKpp56K7bbbLtuxALZKwR2gfL766qs48MADY9KkSZGfnx8333xznHPOOT7MDdRZ1j2gNlJwB4BKuP322+Oiiy7aqNS+2267Ra9evaKwsDCaNm1aqbnt1AkAkBseffTROProo6NRo0bZjgKQNcOGDUvdfvvtt2P69Omp18ItW7aM3r17R2FhYeTn51do3kQiEffdd19GswJk0ksvvRSnnnpqLFmyJFq0aBFnn312HHfccbH77run1kGAXKPgDrB177zzTkSs3bznoosuimnTpkUikYhtt902jj766Nhzzz0r9To3IqJfv36ZjgtQZdY9oLZScAeACiorK4sOHTrE4sWLU8X2wYMHx+233x49e/bMcjoAAADInPVLUuus/yflypQ8k8mkAhVQ4yrzbTxLliyJJUuWRMR/1rtGjRpFmzZtKvXBnqlTp1Y4A0BFKLgDbN2WXudW5YOMiUQi1qxZU6VsANXBugfUVg2zHQAAapv3338/Fi1aFIlEIhKJRBx66KHxzDPPRF5eXrajAQCQQet2NYmI2H333aNly5aVnmvp0qUxYcKE1NiuJkBtZudioDaaMWNGJBKJqMi+T+v+/hfxnzf/V69eHfPmzavw41s7AQByy7oPX0ekP1ezTyhQV1n3gNpGwR0AKujzzz+PiP88+b/99tuV2wEA6qADDjigQjvfbclHH30UgwYNigi7mgC1jze5gLqkskXzqhTUraMAALll3fMzz9OA+sK6B9RGCu4AUEELFy5M3e7evXvssMMOWUwDAEB1Wn9Hk0zMBVDbTJ8+PdsRADKia9eudlEH6pUJEyZEw4ZbrgOs/01jERHvvvtupV+7+qYyoLYYMWJEtiMA1CjrHlBbKbgDQAU1atQoItbu2lRYWJjlNADZ98UXX8SXX34ZS5cujZUrV1bqTbCf/OQn1ZAMoOqUoID6rlu3btmOAJARM2bMyHYEgBqTTCbj4osvrvA1BxxwQKUezzeVAbWJoidQ31j3gNpKwR0AKqhHjx6p20uWLMleEIAsevXVV+NPf/pTvPbaa1FcXFzl+RTcgfpEaR4AAIDqlEgkyr0JxfqvUX3zGAAAALlCwR0AKmi//faLvLy8KCsri+nTp0dRUVE0bdo027EAasSSJUti6NCh8fzzz0dE1d70WvdGm6InUB8UFRWlbhcUFGQxCQAAAPVBZf7mVplrlOIBAACoDgruAFBB7du3j8MPPzyeeeaZKCkpiSeffNLOw0C9UFxcHAcffHB89NFHqWJ6RXaD2pA3v4D65IsvvkjdbtWqVfaCAAAAUGd17drVZhIAAADUCQruAFAJN998c7z66quxatWquPrqq+PQQw+Ntm3bZjsWQLX6zW9+Ex9++GFasT0/Pz8GDRoUvXr1isLCQt9oAbAJS5cujVGjRkXE2t3wdtpppywnAgBgc0aPHp26ffDBB0eHDh0qPde8efPitddeS41tkgFUtxkzZmQ7AgAAAGREImnbRAColCeeeCJOPPHEKCsriz322COeeuqp2G677bIdC6BarF69Otq2bRvFxcWpndfPOOOMuPnmm+1EDNRq11133Wbvu+aaa1I735166qmx/fbbl3veZDIZxcXFMX369HjjjTdiyZIlqW+/GD58eIwYMaLK2QGyadKkSfHOO+/E+++/H7NmzYpvvvkmli9fHs2bN4/WrVtHt27dYu+9945+/frFd7/73WzHBSi3vLy81HPAMWPGxIABAyo91xtvvBEDBw5MzVdaWpqRjAAAVI9Vq1bFhx9+uNnXuXvuuWfk5+dnOyZAxlj3gFym4A4AVfDSSy/FqaeeGkuWLIkWLVrE2WefHccdd1zsvvvuvgYUqFPefPPNOOigg1Jr29ChQ+O+++7LciqAqlu/wLSh9f9kUpXnduuK7clkMho3bhwTJ06MHj16VHo+gGx67rnn4tZbb42//e1vace3tGb269cvLrroojjssMNqJCNAVeTl5UXE2rUsUwX3dfMpuAMA5J5vv/02HnroofjTn/4U48eP3+JztoYNG8aee+4ZP//5z+PEE0+Mxo0b12BSgMyw7gG1hYI7AFTC+rt3LlmyJJYsWRIR/3kTv1GjRtGmTZsKf5I1kUjE1KlTM5YTIFP+9Kc/xVlnnRURa9/snz17dnTs2DHLqQCqriYK7uvmSiQS8fvf/z5+8YtfVGkugGxYunRpnH322fHoo49GxH/WyC2tjxuuoyeccELceeed0bJly+oNC1AF1bGDe4SCOwBALnr11VfjZz/7WcydOzci0l/Hbs6654qdO3eOUaNGpZ7vAdQG1j2gNmmY7QAAUBvNmDEjtQtnIpFIPaFf9+R/9erVMW/evArPa9d3IFctWrQoItauUzvuuKNyO1CnlOcPuFXZH6BZs2Zx4IEHxgUXXBD9+vWr9DwA2bJixYoYOHBgjB8/Pu11cDKZ3Or6uP7r5UceeSQmT54cY8eOjaZNm9ZEdICsyuQHJgEAyKzrr78+rrnmmrQPcK97rbs567/GnTNnTgwePDiuu+66uPLKK2skM0BVWPeA2kbBHQCqYMM3pqryRpUvVQFyWUFBQep269ats5gEILPGjh27yePJZDIGDBiQen7329/+NvbYY49yz5uXlxdNmzaNNm3aRLdu3RSagFrt+OOPj48++igiIvWmV5MmTeLII4+MAw88MHbfffdo165dNG3aNIqKimLhwoUxYcKEePPNN+Ppp5+O4uLi1HXjx4+PE044IZ5//vks/1YA1W/FihWp2z7YAwCQO+68884YMWJERKSXNwsKCmLPPffc7Ovcjz76KFauXJl2zfDhw6Nt27apb8EFyEXWPaA2SiS16QCgwrp3715tJaXp06dXy7wAVfHCCy/E4YcfHolEInbYYYf497//ne1IANUuLy8v9ZxvzJgxMWDAgCwnAqh56z8PjFj7JtZZZ50VN954Y7k++LhkyZK46qqr4q677kpdn0gk4rnnnotDDz20WrMDVEYmnwNed911cc0110RERNeuXWPGjBkZSAgAQFXMmjUrevbsGatXr46Ita9TO3bsGNdcc02ceOKJ0bx5881eu2LFinjooYfi2muvjblz56Y+zJ2fnx9ffPFFdO3ataZ+DYBys+4BtZWCOwAAsFXLli2LwsLCWL16dTRo0CDmz59vJ3egzsvLy0vdfv311xXcgXqpb9++8f7770fE2t2d7r777jj99NMrPM+oUaPijDPOiIi1b6Lts88+8d5772U0K0AmZKrgPn369Nhvv/1i7ty5ERFx8MEHx0svvZSxnAAAVM7QoUNj9OjRqed8/fv3j6eeeipatGhR7jmWL18eP/7xj2PMmDGpeU477bQYNWpUtWQGqArrHlBbKbgDAADlMmzYsHjggQcikUjE7bffHueee262IwEAUI0WLlwYHTt2jHV/Qj799NPj7rvvrvR8Z555Ztxzzz0RsbZAOm/evGjXrl1GsgJUxLBhwzZ737rXvRERgwYNik6dOpV73mQyGcXFxTF9+vT49NNPo7S0NPXNFTfddFNccsklVc4OsCVt2rTJyuMmEolYtGhRVh4boCLWrFkTbdu2jRUrVkQymYxdd901xo8fH40aNarwXCUlJbHHHnvEZ599FslkMlq0aBGLFi2KBg0aVENygMqx7gG1mYI7AABQLvPmzYtdd901vvnmm2jTpk18+OGH0b1792zHAgCgmjz77LNx1FFHRcTa0tKUKVOiR48elZ5v+vTpscMOO6SKo08//XQcfvjhGckKUBHr79K+ofXfNtvcOVuzbo51X93evHnz+Pe//x0dOnSo1HwA5bVufavpCkAikYjS0tIafUyAynjnnXfigAMOiIi1a9crr7wSAwcOrPR8Y8aMiYMPPjg131tvvRX77bdfJqICZIR1D6jN8rZ+CgAAQETHjh3j6aefjoKCgli0aFEceOCB8cknn2Q7FgAA1WTevHkRsfbNqm7dulWp3B4R0aNHj+jevXuqcDV37twqZwTIRYlEIlUwzc/Pj/vvv1+5HahR69ahmvgBqE2mT5+eut2qVas46KCDqjTfQQcdFK1bt06Np02bVqX5ADLNugfUZgruAABAue23337xzjvvxPbbbx/Tp0+PPn36xEknnRTPPPNMzJ49O1avXp3tiAAAZMjixYtTt9u3b5+ROdef55tvvsnInACVkUwmN/lTnnO29pOXlxc77bRTnHfeeTFhwoQ4+uijs/RbAvVRZdeuivwA1Fbz58+PiLUfBOrevXuVP6iz7gPh6yxYsKBK8wFkmnUPqM0aZjsAANRVy5cvj6VLl0ZZWVl07NgxGjdunO1IAFXSoEGDtHEikYg1a9bEo48+Go8++mil5103DwAAuaVly5ap2+uX3ati/XlatGiRkTkBKmr9HezWl0wmY/vtt0+94f+Xv/wl+vbtW+558/LyomnTptGiRYto2NBbcEDNKysrq9b533nnnfjVr34V48aNs3s7UCut/z5HSUlJRuYsLS1N3c7Ls88okFuse0Bt5q9rAJAhb775Zjz55JPx7rvvxhdffJH2pH7MmDExYMCAja4ZP358FBUVRcTar4PabbfdaiwvQEWtvzvTujew1n3lOkBtsrkP7GztvEzxwR6gtujQoUNErH0eOGPGjJg3b1507Nix0vPNmzcvpk+fnnouuW5+gJq2/m5zW9KhQ4dynwtQl40fPz6uvPLKGDNmTET852+D6/4u2Lt376xlA6iIwsLCiFi7fs2cOTNKSkqiUaNGlZ6vpKQkZsyYsdH8ALnCugfUZj5CAwBV9P7778cPfvCDGDhwYPzxj3+Mf/3rX7FmzZpyfVXno48+Gv3794/+/fvH/vvvH6tWraqh1ACVs/6bV1X9SmK7PAHZUt6vV/d17kB998Mf/jAi1j5vKysriz/84Q9Vmu8Pf/hDlJWVpdbBPn36VDkjQKZ17do19VNQUJDtOABZ9dlnn8XRRx8dP/zhD2PMmDFpr2eTyWTsvPPO8fjjj8eHH36YxZQA5fed73wndXvFihXx/PPPV2m+559/PpYvX77J+QFygXUPqM0SSe+qAkCljRw5Mi699NJUoX39nYzX3U4kEpvdwX327Nmx/fbbx5o1ayKRSMTo0aPj5JNPrulfA6BcDjjggGorpY8dO7Za5gXYlLy8vLQP7CQSibRv39nwvEz96WT954ebejyAXLTbbrvFZ599FslkMho1ahQvvPBCDBw4sMLzvPnmmzFkyJDU6+ddd901/vGPf1RDYgAAqmratGkxYsSIeOSRR1IfUFz/dXSPHj1ixIgRccopp0Renj31gNojmUxGYWFhLF68OJLJZHTr1i0mTJgQLVq0qPBcy5Yti169esXMmTMjmUxG27ZtY/78+Tb3AXKKdQ+ozRpmOwAA1FajRo2KCy64IOL/sXff8Tnd7x/H3yfDyJBIbJqIvbeqTVpKF75tqaJ8KarjW6ut/qrDbnXoUB0oWlrVSbVq1m5aVBQ1I4IYkZCQgYzz+yOPnCYEyT1yB6/n4+HRc+f+nOu+zj+fnnGd66N/uxC7u7uradOmCgoK0jfffHPdGJUqVVJoaKhWrFghSVqyZAkF7gAKrbVr17o6BQBwiHbt2uXphmtexwHAzWz48OF6/PHHZRiGUlNT9cADD2jKlCn63//+l6dipqzO72PGjMnxcnjW9TQAAAAKj+joaI0fP15z587Nce6W9cJ2+fLlNXbsWA0ePFgeHpQaALjxGIahXr16acaMGTIMQ1FRUerYsaOWLFmiihUr5jnO8ePH1a1bNx0+fNiK27t3b+4lAih0mPcA3Mjo4A4AgA0OHz6sWrVqKTU1VVLmyfuoUaP0wgsvKCAgQFLOzqBX6+AuSTNnztTQoUMlSQEBAYqNjS2AIwAAAAAA4PpM01SzZs0UHh5ufTYMQ8HBwXrssccUGhqqBg0ayN/f39onISFBO3bs0Jo1azR//nxFRkbm6PrZpEkTbdmyxQVHAwAAgNzExsZq8uTJ+vjjj3Xx4sUrOrYHBgbqhRde0NNPP61ixYq5OFsAsM/p06dVrVo1JSYmSsqc57y9vTVy5EgNGDBAISEhV9338OHDmjt3rt555x0lJSVZ+5coUUIHDx5UqVKlCuQYACA/mPcA3KgocAcAwAaPPfaY5s+fLymzkP3LL79Uz549c4zJa4H73r17VadOHUmZhfL79+9X1apVnZg9AAAAAAB5Fx0drVatWuno0aNW905JOTo0ubm5ycvLS8nJycrIyLD+nn1s1jLImzZtUoUKFQr2IAAAAHCFhIQEvfnmm3r//feVlJR0RWF7iRIlNHLkSI0YMUK+vr4uzhYAHGfRokV69NFHrWvW7PNfcHCwGjRooFKlSsnb21tJSUmKi4vTjh07FBUVlWO8aZpyd3fXV199pYceeshlxwMA18O8B+BGRIE7AAD5dOnSJQUEBCglJUWSNHToUM2YMeOKcXktcM/IyFCJEiWUnJwswzC0ePFi3Xfffc47AAAAAAAA8unw4cN65JFH9Oeff+Yoerqe7GNbtGihL7/88ppdoQDAWY4cOeLqFBQUFOTqFABAkpScnKz33ntPb731luLj4694KbF48eJ6+umnc6xaCwA3m5kzZ+rpp59WWlqapJzXuNlf6M5y+femacrT01MffvihHn/8cecnDAB2Yt4DcKPxcHUCAADcaDZt2qTk5GRJmSfxzz33nF3x3NzcVL58eUVEREjK7IwHAAAA1zp58qT+/PNP63ODBg1UuXJl1yUEAC5WuXJlbdq0Se+++67ef/99HT161PruWg/ATNNUUFCQnn32WT377LNyc3MrsJwBILvKlSvnOl8VFMMwrCICAHCVS5cu6aOPPtKUKVN0+vTpKwrbPTw8NHjwYI0dO1blypVzcbYA4FyDBw9W06ZNNWDAAO3atUtS7te3WbK/wG2apho0aKA5c+aocePGBZIvANiLeQ/AjYYCdwAA8ikyMtLarlixokM6z/n7+1vb586dszseALhCdHS0zpw5o4SEBGVkZKhhw4by8/NzdVoAYJPvv/9ezzzzjPV5586dLswGAAoHd3d3jRo1SiNGjNDy5cu1bt06/fHHH4qKitLZs2eVmJgoHx8flSxZUsHBwbrjjjvUvn17de7cmcJ2AIUGCxsDuBVlZGTos88+04QJE3Ts2LErCtvd3NzUt29fvfbaawoODnZxtgBQcJo0aaK///5bK1as0OzZs7V+/XqdOnXqquPLli2r9u3b6/HHH9ddd91VgJkCgGMw7wG4kVDgDgBAPp0+fVpS5o3f8uXLOzx+RkaGw2MCgDNcunRJ8+fP13fffafNmzdf8YLOypUrFRoaesV+P//8s+Li4iRJZcqUUZcuXQokXwDIj+xLtJcvX1516tRxcUYAUHi4ubmpa9eu6tq1q6tTAQAAwHV8+eWXeu211xQREXFFYbskPfTQQ5owYYJq1qzpyjQBwKU6d+6szp07S5KioqKu+iI3LwEBuFkw7wG4EVDgDgBAPhUtWtTavnTpkkNiZhV6SlJgYKBDYgKAM3377bd65plnFBMTI+nKDnjXWs4uPDxcr7zyiqTMOfXEiRN0egdQ6GSdkxmGoYoVK7o4GwAAANirf//+rk4BAArU4sWL9fLLL2v37t1XFLabpql77rlHEydOVKNGjVybKAAUMhR0ArjVMO8BKKwocAcAIJ/KlCkjKbOYMzo62u548fHxOnLkiFUMmhUfAAqrESNG6P3338/xYCxL9u5PV/Pkk09q8uTJSklJ0cWLF/X1119ryJAhTs0ZAPKrQoUK1nZSUpILMwEAAIAjzJkzx9UpAECBWLlypcaOHautW7fmWtjevn17TZo0Sa1atXJxpgAAAAAAXJ2bqxMAAOBGU61aNWs7Li5Oe/futSve8uXLlZGRYd1obt68uV3xAMCZJkyYoPfee0+maVqF7aVLl1avXr303HPPXbe4XZJKliypLl26WJ+XLl3qtHwBwFZNmzaVm5ubTNNUVFSUw1buAQAAAADAWTp06KAuXbpYxe1Z9+9M01Tz5s21fPly/fbbbxS3AwAAAAAKPQrcAQDIp2bNmikgIMC6MTxz5ky74r311lvWdo0aNVS+fHm74gGAs+zcuVPjxo2TYRgyDEPFihXThx9+qGPHjumrr77SG2+8ISlnR/er6dGjh6TMh2vr1q1Tenq6U3MHgPyqUKGCOnToIElKSUnRzz//7NqEAAAAAAC4jvXr10tSjuL2+vXr68cff9Qff/yhTp06uTI9AAAAAADyzMPVCQAAcKNxc3NTt27drGWNP/zwQ/Xt21eNGzfOd6wJEyZo27ZtkjILQvv16+fQXAHAkV5++WVlZGRIkooUKaJff/1Vbdu2tSlW9i5RiYmJOnDggGrVquWQPAHAUUaMGKE1a9ZIkl588UXdfffd8vLycnFWAAAAAABcm2EYVpH7kSNHNGDAAKf/XlxcnFN/AwAAAABwazFM0zRdnQQAADeaqKgo1axZU6mpqTJNU6VLl9aSJUvUokULa4ybm5vVIWXlypUKDQ21vktPT9fYsWM1depUSZndVEqWLKnDhw/L19e3YA8GAPIgKSlJgYGBSk1NlZRZ6Dlx4sQrxl1r7rucn5+fzp8/L8Mw9O2331pd3QGgMHnmmWf04YcfyjAMtWvXTl9//bXKlCnj6rQAwG5VqlTJ8dkwDEVERFx3nKNc7fcAAABgu6x7c9lLAC7/7AyGYbBCIwCXGz9+/BV/e+WVV/I0zlFy+z0AcBbmPQA3OwrcAQCw0cSJE/XKK69YN4fd3d31yCOPqF+/fmratKlKly4tKfPG7q+//qrGjRvr4MGDWrNmjT799FMdPXrUuqlsGIbmzZunvn37uvKQAOCqfv31V91zzz2SMues6OholStX7opx+Slwr1mzpg4cOCDDMDR9+nQNGzbMOckDgJ3+7//+T1OnTrVeSnz66af1yCOPsPIEgBva5cVPVytKyq1IyhEoggIAAHC87PfmCkpWp3jO7QC4Wm5z4LWuc52BuRBAQWLeA3Cz83B1AgAA3KjGjh2rgwcP6vPPP7du3n755Zf68ssvc4wzTVNdunS54m/Sv51TRowYQXE7gELt2LFjkjLnrcqVK+da3J5f/v7+1va5c+fsjgcAjpb9JZ3AwECdPn1aZ86c0YQJEzRhwgT5+voqODhYJUqUkKenZ57jGoah1atXOyNlAMi3vBavO/IhGD1XAAAAnIdzLQD49+Wbm/X3AOByzHsAbkYUuAMAYIfPPvtMwcHBmjRpknXTOHvxepbLbyhnFRAYhqHJkyfrhRdeKLikAcAGsbGx1naZMmUcEjMtLc3adnNzc0hMAHCktWvX5jiny9rOOrc7d+6cdu7cma+buNz0BVBYBAUF5Wk+yus4ALiZ7d27V5s3b9b27dsVGxur+Ph4Xbx4MV8xeMkRQEHIyMhwdQoA4FJ5fcmHl4EA3CyY9wDczChwBwDADm5ubho3bpzuvvtujR8/XitWrMh13OXFUKZpqmPHjpowYYJatWpVYPkCgK28vb2t7aSkJIfEzF40HxgY6JCYAFAQKPQEcDM4fPiwQ8cBwM1o8eLFev311/Xnn3/aFYeXHAEAAJzvt99+c+g4ACjsmPcA3OwocAcAwAFatWqlX3/9VXv37tWyZcu0YcMG7dmzR3FxcYqPj5eXl5dKlSqlkJAQdezYUV26dFGTJk1cnTYA5FlW13bTNHX06FG748XExOjo0aPWA/5y5crZHRMAnIGuJgAAALee9PR0DR06VHPmzJGUs0A9+/lhbkXr1/seAAAAztG+fXuHjgOAwo55D8DNjgJ3AAAcqFatWqpVq5ZGjBjh6lQAwKFq165tbZ87d05//fWXXS/qLFmyRFLmg383Nze1aNHC7hwBwNFY2h0AAODWNHz4cH322WeSrlyZMXvRem4vQ17vewAAAAAAAADX5+bqBAAAAAAUfg0aNFD58uWtB/XTp0+3OVZqaqreeustGYYhwzBUv359BQYGOipVAAAAAABstm7dOn344YfWNWuRIkU0duxY7d27VxcuXMhRtL5q1SpduHBBx48f18qVK/Xiiy+qTJky1pg6depo+/btysjIUHp6uqsOCQAAAAAAALjhUOAOAAAAIE969eol0zRlmqY+//xzrVixwqY4zzzzjPbv32898H/88ccdmSYAAAAcaP369da/hIQEu2IlJCTkiAcAhdGUKVMkZXZfd3d3108//aTx48erRo0aKlKkyBXjixQponLlyunOO+/UpEmTFBUVpdGjR0uS9uzZo3bt2mnDhg0FegwAAAAAAADAjc4wWR8RAAAAQB7ExsaqatWqSkxMlGma8vLy0pw5c/Twww9bY9zc3Kwu7ytXrlRoaKj13dmzZ/XUU0/p66+/lpRZLFChQgUdOnQo1yIBAAAAuN61zu/ya/Xq1ercubMkyTAMpaWlOSRHAHCUpKQk+fv7KyMjQ5I0bNiwK1Ywy+u8+Mknn2jYsGGSpICAAO3evVtly5Z1YvYAAADIiypVqkjKvC6dP3++WrZsaXOszZs3q2/fvla8iIgIh+QIAI7EvAfgRuXh6gQAAAAA3BhKlSqld955R4MHD5ZhGEpOTtYjjzyi9957T4899piaNm0qKbNw3TAMHTt2TFu3btXBgwe1Zs0aLVy4UElJSVbndnd3d82ZM4fidgAAgEIu6/zOUbEAoLAKCwtTenq6pMwH9U888YTNsYYOHao1a9bom2++0dmzZ/Xyyy/r008/dVSqAAAAsNHhw4clZZ7vpaSk2BUrJSUlRzwAKIyY9wDcqChwBwDAgZKTk3Xs2DGdO3dOKSkpNj24b9eunRMyAwDHGDRokA4fPqxJkybJMAyZpqnff/9dv//+e45xpmnqv//97xV/MwzD2u/NN99Up06dCjJ9AAAA2ICHVQBuFVFRUda2n5+f6tWrd83xFy9evOb3L730kr755huZpqkFCxbo/fffV7FixRySKwAAAGzHdS6AWw3zHoAbEQXuAADYadeuXfrss8+0bNkyHTx40FrC2BYs0Q7gRjBhwgRVqVJFzzzzjJKTkyX924kz+82R7C/5ZC9s9/Ly0uzZs9WrV6+CTRwAAACFBg/VABRGZ86ckZQ5RwUFBeU6xsPDw+ryfuHChWvGa9CggcqWLatTp07pwoUL2rx5s0JDQx2bNAAAAAAAAHATosAdAAAbpaSkaPjw4Zo9e7ZM02SZdQC3lP/+97/q0KGD3njjDX3xxRfWcnbZC92zCtqz/u7h4aF+/fpp7NixCgkJcVnuAJBX48ePd1rsV155xWmxAaCwSkpKsraLFy/uwkwAIHfZG094e3vnOsbX11dnz56VYRiKiYm5bsxKlSrp1KlTkqR9+/ZR4A4AAHATSU1NtbY9PT1dmAkAFAzmPQAFiQJ3AABskJKSoi5dumjjxo1XdC2m0B3ArSIkJEQff/yxpkyZorVr12rDhg3as2eP4uLiFB8fLy8vL5UqVUohISHq2LGj7rrrLpUpU8bVaQNAnr322mtO6zBMgTuAW9HevXutbX9/f9clAgBX4efnZ20nJibmOsbf319nz56VJEVFRV03ZvbVHuPj4+1LEAAAAIXKiRMnrG1fX18XZgIABYN5D0BBosAdAAAbvPrqq9qwYUOODsWGYahp06aqX7++AgMD5eXl5eo0AaBAlCxZUj169FCPHj1cnQoAFBq5vfSY/bwRAG41CQkJ+uyzzyRlzoe1atVycUYAcKWgoCBJmedyZ86cyXVMrVq1FBkZKUn6448/rhkvPT1dBw4csM7/ihYt6sBsAQAA4GpLly6VlHmdm3UuCQA3M+Y9AAWJAncAAPIpMTFRH3zwgVWgJEn9+/fXpEmTVKFCBRdnBwAAAEeyZ3We7IXspmmy0g+AQmv8+PF5Gvf5559r48aNeY5rmqaSk5MVGRmp1atX5+hc3KZNm/ymCQBOV7duXWv7+PHjSkxMlI+PT44xjRo10rJly2SapjZu3Kjjx49f9Z7gDz/8YHWCNwxD5cuXd17yAAAAsBw5ciRP406dOpXnsVLO69xvv/1WP/zwg/VdkyZN8p0nADgK8x6Am5Fh8nQVAIB8WbJkibp3724VLA0bNkzTp093cVYAAABwtHXr1uV7n+TkZJ0+fVpbtmzRDz/8oOPHj8swDFWtWlVvvfWW/Pz8JEnt27d3dLoAYDM3N7erri6R/faxPStQZK1gYZqmihQpoj179igkJMTmeADgLBUqVNDJkydlGIZWr16tDh065Ph+y5YtatGihTUn3nffffruu+/k4ZGzp9ShQ4fUtm1bnTx50poDIyMj6XAHAABQAAriOjd7LMMw9Ouvv6pTp052xQMAWzHvAbgZUeAOAEA+vf/++xo+fLgkydPTU6dOnZK/v79LcwIAAEDhk5aWpvfff18vvfSSLl26pNq1a2vlypV07gRQ6BTkAzDDMPT+++/rqaeesisWADhL37599eWXX8owDI0aNUpTp069YkzDhg21a9cu63O9evX0+OOPq2bNmrp06ZI2btyojz/+WOfPn7fmvnbt2um3334ryEMBAAC4ZWVd5zqzJCrrGtk0TXXu3Fm//vqr034LAK6HeQ/AzYgCdwAA8mnKlCl66aWXZBiG6tatq7///tvVKQEAAKAQ++WXX9StWzdlZGSoUaNG+v3331WkSBFXpwUAFjc3N6f/ho+Pj+68806NGDFC7dq1c/rvAYCtvv/+ez300EMyDENBQUE6dOjQFS/4bNiwwersnr17XXaXr1yxfv163X777QVyDAAAALe6gij0lDKbofXr10/vvvuufHx8nPpbAHAtzHsAbkYe1x8CAACyK126tLVdrFgxF2YCAACAG8E999yjYcOGafr06QoPD9frr7+uV155xdVpAYDlah2FTdNUaGioVbT55ptvqmnTpnmO6+bmJm9vbwUEBCg4ONjuDvAAUBDuvfdeNWnSRBcvXpQkbd68Wa1bt84xpm3btpoxY4aefPLJHB3sshiGYRUWeHp66tNPP6W4HQAAoAD179//qt/NmzfPOofr1KlTvlZbzH6dW7duXXXo0CHHs2MAcBXmPQA3Izq4AwCQT1u3btXtt98uwzBUvnx5HTt2zNUpAYBd3N3dc3w2DENpaWnXHecoV/s9ALiZHDp0SNWqVZMklSxZUidPnpSnp6eLswKA68vq/iRJK1euVGhoqIszAoDC47ffftOoUaMUHh6e6/ctW7bUW2+9pZYtWxZsYgAAALgqrnMB3GqY9wDcqOjgDgBAPjVr1kzBwcGKiorSiRMntGfPHtWuXdvVaQGAzfL6zivvxgKA7apUqaJKlSrp2LFjio+P16ZNm9ShQwdXpwUAecJ5IADkrmPHjvrrr7904MABhYWF6dSpUzJNU+XKlVOrVq1UtWpVV6cIAACAXJimySpjAG4pzHsAbkQUuAMAYIMXX3xRTzzxhCRp8uTJ+uKLL1ycEQDYJ7cl1a82zlEFTo6MBQA3gnLlylmr/+zevZsCdwA3hIyMDFenAACFXvXq1VW9enVXpwEAAIA8mDNnjrVdt25dF2YCAAWDeQ/AjYoCdwAAbDBkyBAtWbJEv/zyi7788kvdfvvteuaZZ1ydFgDYpF27dnl6Yz+v4wAAubtw4YK1nZCQ4MJMAAAAAAA3kypVqrj09w3DUEREhEtzAIC86t+/v6tTAIACxbwH4EZlmLRMBADAJhcuXNCDDz6oZcuWyTAM9enTR6+++ipLDwMAAOAKycnJCgwM1KVLlyRJ77//vp566ikXZwUAAAAAuBm4ubm5dLVEwzCUnp7ukt8GAAAAANyc6OAOAICNihUrpqVLl+qNN97QhAkTtGDBAn355Zdq2LChmjRpotKlS6tYsWL5jvvKK684IVsAAAC40scff6yLFy9Kynzwf9ttt7k4IwDIm7S0NG3evNn6XK1aNVWoUCHfcaKjo3N09Wzbti2rAwEAADhYXs+vsgrh7TkfM03TpUX1AAAAAICbGx3cAQCwQ3p6uj755BO9+eabioqKsv5uz01hupwAAADcXBYuXKgBAwYoNTVVpmnKw8NDsbGxKlGihKtTA4DrWrRokXr37i0pszPonj17VK1atXzH2b9/v+rUqWMVQC1evFj33XefQ3MFAGcxTVNbt27Vhg0btGfPHp05c0YJCQnKyMjQ22+/rcaNG7s6RQC3uMqVK+f7uURCQoLi4+OvKFJ3d3eXr6+vvL29lZSUpPPnz+d4bpH1O/7+/jmuayMjI+08CgAAAAAA/kUHdwAAbHTw4EH16NFD//zzjyT7itqlf7udAAAAoHA4cuSITfulpKTo1KlT2r59uxYtWqSwsLAc3fF69uxJcTuAG8bs2bOtOey+++6zqbhdkmrUqKF77rlHS5cuteJS4A6gsEtNTdWMGTP03nvv5WhuIf17L+/s2bO57jt06FCtXLlSkhQcHKzffvvN6fkCuHUdPnw4X+MXLFigp59+2ipub9y4sfr3768OHTqoTp068vD4t4wgLS1Nu3fv1rp16zR37lyFh4db+02aNEmPPvqog48GAGwzcODAHJ8Nw9Ds2bOvO85RrvZ7AFAY7d27V5s3b9b27dsVGxur+Ph4axXavDIMQ6tXr3ZShgBAB3cAAGwSHR2t22+/XSdPnsxRmG7v/1YNw6CDOwAAQCHh5ubmkBcQsy/bXrp0aW3btk2VKlVyQIYA4FzJyckKDAzUpUuXJElffvmlevXqZXO8hQsXWgVQPj4+iouLk6enp0NyBQBHO3jwoHr16qXw8PAcLytKyvF55cqVCg0NvWL/NWvW6K677rLGbd68WS1atCig7AHg6t5++209//zzkjLPyT766KN8FakvWLBATz31lM6fP2/FGz58uDNSBYB8yX4vL+t+XG7PXR11zy+7a/0eABQmixcv1uuvv64///zTrjjMewAKAh3cAQCwwf/+9z+dOHFChmFYxUq1a9fW/fffr3r16ikwMFBeXl6uThMAAAAOYM9LjNnPFytWrKglS5ZQ3A7ghhEeHm51bjIMQ3feeadd8bLvn5SUpL///ltNmza1KyYAOMOhQ4fUpk0bnT59OsfLitkL2693jhgaGqqaNWtq3759kqSvv/6aAncALrd+/Xo9//zzMk1T3t7eWrt2rRo3bpyvGH369FGdOnXUrl07JSUlafTo0WrWrJnatGnjpKwBAABgr/T0dA0dOlRz5syRpKs2csztBaDrfQ8AzkKBOwAA+XT06FH9+OOP1oOsYsWK6ZNPPlG/fv1cnRoAAAAKGdM0VaZMGQ0YMEAvvfSSfH19XZ0SAORZVlGmJFWoUEGlSpWyK17p0qVVoUIFHT9+XFLmUsgUuAMobC5duqR77rlHMTEx1oP74OBgjRgxQp07d9Ztt90mHx+fPD3Uf/DBBzV58mRJ0vLly52aNwDkxZgxY6xipgkTJuS7uD1L48aNNW7cOI0ePVoZGRl64YUXtGnTJgdnCwD5l9dGFfauyg0AN5rhw4frs88+k5T76mRZcpsfr/c9ADgLBe4AAOTT+vXrc5zoT5s2jeJ2ALeEgQMHOjSeh4eH/Pz85Ofnp+DgYDVr1ky1a9d26G8AgD369++f730Mw1CxYsVUokQJBQcHq0mTJmratKk8PLgFA+DGc+bMGUmZc1uZMmUcErNs2bJWgfvp06cdEhMAHGnGjBnav3+/9QC/R48emj9/vooXL57vWF27dtXkyZNlmqb27t2ruLg4BQYGOjplAMiTQ4cOKSwsTJLk6elp972+QYMG6f/+7/906dIlhYWF6dChQ6pSpYojUgUAm0RGRjp0HADcLNatW6cPP/zQus4tUqSInnvuOfXt21eVK1dWsWLFrO9WrVqlNm3a6MyZM9q9e7fWrFmjzz77TKdOnZJhGKpTp44WLFighg0buvKQANwieLoKAEA+HTt2zNr29vZ2eMEnABRWc+fOdfqycwEBARowYICGDRvGAzEALpe1VCcA3KouXbpkbbu7uzskZvY4ycnJDokJAI707rvvWte+TZo00cKFC+Xp6WlTrEaNGlmrQErSP//8o7Zt2zosVwDIj6zidsMwFBISohIlStgVz8/PTyEhIdaqP2FhYdzPA+BSwcHBDh0HADeLKVOmSMrsvu7h4aGffvpJd91111XHFylSROXKlVO5cuV055136tVXX9XYsWP19ttva8+ePWrXrp2WLl3K9S0Ap3NzdQIAANxosro1GYahatWq2fyACwBuZKZp5vhn7/isv8fFxemdd95RvXr1NG3aNGekDgAAgDzK6jJsmqZiYmIcEjN713Z/f3+HxAQAR9mzZ4+OHDliXbdOmjTJrnt/3t7eqlixovU5IiLC7hwBwFbR0dHWtq+vr0NiZo+TPT4AAAAKh6SkJK1evVqGYcgwDA0ZMuSaxe25KVKkiKZOnaoZM2bINE2dP39ePXr00KlTp5yUNQBkosAdAIB8yv5QCgBuNdkL1LNuhGR1o7vWv+uNz5L13YULFzR69GiNHDnSJccJAAAAqXTp0tb2sWPH7C5yj4mJ0ZEjR6zOyNnjA0BhsH37dmvbx8cn3w/9c1OyZElrOz4+3u54AGAv0zRzrFRrD0fFAQAAgHOEhYUpPT3deh77xBNP2Bxr6NChevjhhyVJZ8+e1csvv+yQHAHgaihwBwAgnxo3biwp8yZwVFRUnjoXA8DNIDIyUpGRkVq2bJlCQkIkZc6FJUqU0H//+1/NnDlTGzdu1K5du3TgwAFt27ZNP/30kyZMmKDmzZtbxeyGYWjYsGGKiIjQzp07tW7dOn3wwQfq3r273NwyL1GyCt3fe+89ffHFF648bAAAgFtWs2bNJP17bvbtt9/aFe+bb77J8YJjgwYN7M4RABwpa5UJwzAUEhJiXaPaw8vLy9pOTk62Ox4A2Cp7855Tp04pPDzcrnh//fWXTp48ab28WKFCBbviAUBB+OqrrxQQEGD9W758uatTAgCnioqKsrb9/PxUr169a46/ePHiNb9/6aWXJGU+I16wYIEuXLhgf5IAcBUUuAMAkE9VqlRRmzZtJGV2XVq/fr2LMwKAghEcHKwjR46oV69eOnz4sNzd3TV27FgdP35cs2fP1qBBg9SqVSvVqVNHVatWVePGjXXvvffqpZde0h9//KGwsDA1atRIGRkZ+vjjj/Xcc8+pVq1aatu2rZ566il9//33OnDggNq2bWsVwpumqZdffllpaWmuPnwAAIBbzm233abq1atLynxoNXHiRJ07d86mWAkJCZo0aZJVABUcHKyaNWs6LFcAcITsD+aLFi3qkJgJCQnWdokSJRwSEwBskdW8J+t87IUXXrAr3osvvihJ1suLTZo0sSseABSEqKgoxcfHKz4+XmlpaQ5ZsQcACrMzZ85IyjwHDAoKynWMh4eHtX29gvUGDRqobNmy1tjNmzc7KFMAuBIF7gAA2CDrxq0kjRkzRunp6S7MBgAKxtGjR/XAAw/o3Llz8vDw0Pfff6/x48erePHiedr/9ttv1+bNmxUaGirTNPXDDz9o5MiROcZUrlxZq1evtorcs373xx9/dPThAMB1paWlaf369da/48eP2xQnOjo6RxxWAAJwI+nfv7/18uGpU6fUrVs3paSk5CtGSkqKunXrppMnT1qxHnvsMSdlDAC2K126tLUdGxtrd7z09HQdPXrU+lyqVCm7YwKArWrXrq369etLyixKX7VqlYYNG5bva1TTNDVs2DCtXLlShmHIMAzVr19ftWvXdkbaAOBQxYoVk5RZ6BkcHCx3d3cXZwQAzpW9iZi3t3euY3x9fa1zwpiYmOvGrFSpkrW9b98+OzMEgKujwB0AABt07dpVY8aMkWma+vPPP9W7d+98P+AHgBvN888/r4SEBBmGoZEjR+q+++7Ld4xixYppwYIF8vPzk2ma+vDDD7V79+4cYzw8PDRnzhy5u7tbHaVWr17tkGMAgPz4/vvv1bFjR3Xs2FF33nmnkpOTbYqTlJSk0NBQK9bPP//s4EwBwHmeffbZHAWZ69evV5MmTbRu3bo87b927Vo1btxYGzZssM7tAgICNGrUKKfkCwD2KF++vKTM4s2oqKgc3ddtsXXrViUlJVmfa9SoYVc8ALDXpEmTcqyc+Omnn6pZs2Zavnz5dQvdTdPUr7/+qqZNm+rTTz+1YkjSxIkTCyJ9ALBb1vme5LgVewCgMPPz87O2ExMTcx3j7+9vbUdFRV03ZkZGhrUdHx9vc24AcD0e1x8CAAByM3nyZAUEBOill17Sd999p+3bt+vFF1/Uf/7znxwXAABwMzh79qy+/fZbSZmdTf73v//ZHKts2bJ65JFH9Mknn8g0Tc2aNUvTpk3LMaZKlSrq2rWrli5dKsMwFBYWZlf+AGCL2bNnWw/r77vvPlWrVs2mODVq1NA999yjpUuXWnFteUkIAFzB29tbM2fO1IMPPijTNGWapvbt26fQ0FDVq1dPXbt2VbNmzVSmTBn5+PgoMTFRMTEx2rp1q5YtW6Zdu3blKKJyc3PTzJkz5evr6+pDA4ArtGrVSh4eHkpPT5dpmvr22281aNAgm+N98skn1ra/v7+aNGniiDQBwGb33XefBg8erJkzZ1rnZ9u3b9c999yjsmXLqk2bNqpXr54CAwPl5eWl5ORkxcbGateuXdq4caNiYmKs6+SslxcHDhzINS6AG0bW/T3TNBUdHe3ibADA+YKCgiRlzntnzpzJdUytWrUUGRkpSfrjjz+uGS89PV0HDhywzgV5WQiAM1HgDgCADUJDQ63tMmXKKDo6WhERERo8eLCGDBmikJAQlS5d2lrmLq8Mw6BLMYBCacOGDUpPT5dhGAoJCcnR5cQWbdq0sR70r127NtcxHTp00NKlS2WaZp6WwwMAR0pOTtb69eutm7SPPPKIXfEeffRRq8B99erVSk1Nlaenp915AkBB6Natm6ZOnarRo0db86Jpmtq5c6d27dp11f2yFz9lFbm//fbb6t69e0GkDQD55ufnp1atWmn9+vWSpClTpqh3797y8vLKd6ywsDDNnz/fmje7du3q0FwBwFYff/yxJFlF7lLmedvJkyf13Xff6bvvvst1v8sL203T1KBBg/Tpp58WQNYA4BhNmzZVSEiIIiMjFRMTo127dqlevXquTgsAnKZu3brW9vHjx5WYmCgfH58cYxo1aqRly5bJNE1t3LhRx48fV4UKFXKN98MPP1id4A3DsPuZMQBcCwXuAADYYO3atdZNXCnnDV3TNBUREaFDhw7lK2bWw34AKIwiIiKs7cDAQLvjZcUwTfOq82VWRwEps4M8ABSk8PBwXbx4UVLmud6dd95pV7zs+yclJenvv/9W06ZN7YoJAAVp5MiRqlKligYOHKj4+Pgc169ZxU7ZGYaR41o5ICBAc+fOpbsngEJv1KhR1ouOkZGR6tOnjxYtWpSvlxPDw8P14IMPWp3g3dzcNGbMGCdmDQB5ZxiGPvnkE3Xs2FHDhw9XTEzMFc8msp/fZX2X9dKiaZoqXbq0pk2bpkcffbRAcwcARxgwYIBeffVVSZkvNC5YsMDFGQGA81SuXFnlypXTyZMnJUlbt25Vhw4dcozp3r27pkyZIsMwlJaWpmHDhum7776Th0fO0tJDhw7p2Weftc4LJal169YFchwAbk1urk4AAICbSdYDfArVAdxsLly4YG3HxcXZHS/7EnhZBaSX8/X1tbYzMjLs/k0AyI99+/ZZ2xUqVFCpUqXsile6dOkcHU/27t1rVzwAcIXu3btr7969GjNmjPz8/KwCp9xkfVeyZEmNHTtWe/fupbgdwA3h/vvvV/v27a35bcmSJWrRokWeVl2Mjo7Wiy++qDZt2ujEiRNWQ4s+ffrQGRRAofPII4/o4MGD+uijj9S8efMcBezZZf3NMAw1b95cH330kSIiIihuB3DDeu6551S7dm2ZpqmFCxdq+vTprk4JAJwqNDTU2v7ll1+u+L558+aqX7++9Xnp0qVq2rSpPvjgA61YsUJLly7VmDFj1KRJE508edI6N2zXrl2OhmUA4GiGebUnEAAA4Krc3JzzjphhGEpPT3dKbACwx2effabHH39cUuYceOzYMZUrV87meE8++aS1HHLFihV19OjRK8Z89913evjhhyVJAQEBio2Ntfn3ACC/3n77bT333HMyDEONGjXStm3b7I7ZtGlTbd++XYZh6O2339bw4cPtTxQAXCQ1NVV//vmnNmzYoIiICJ05c0bnz5+Xr6+vAgICVL16dbVt21bNmze/otsTABR2p0+fVosWLRQVFSXp35UXy5UrpyZNmujnn3+WlHkvr2PHjipWrJgOHjyoAwcO5BhvmqYaNGig33//XcWLF3fZ8QBAXiQlJWnbtm2KjIxUfHy8EhMT5e3tLX9/f1WpUkVNmzaVt7e3q9MEAIc4cuSIOnfurP3798swDPXu3Vvjx49XlSpVXJ0aADjc999/r4ceekiGYSgoKEiHDh26omnjhg0brM7uWeWkua3yk3WtW6RIEa1fv1633357gRwDgFsTTxYAALABnYQB3GqqVasm6d+liKdPn66JEyfaFOv06dNauHChdVMkK/blsgoJDMPI0fUYAArCpUuXrG13d3eHxMweJzk52SExAcBVPD091bp1a5YhBnBTKl26tJYvX65u3bpp79691rXwiRMncnS7M01Tv/32m7WdJWt848aNtWTJEorbAdwQvL291a5dO7Vr187VqQCAU33++eeSpKeeekqTJ0/WqVOn9NVXX+mrr75S8+bNdfvttyskJEQlSpSQp6dnvmI/9thjzkgZAOxy7733qkmTJtaq2ps3b77inl7btm01Y8YMPfnkk9Yz3Muvc7OudT09PfXpp59S3A7A6ShwBwAAAHBdrVu3VqlSpRQXFyfTNPXmm2+qTZs26tKlS77iXLp0Sf369VN8fLykzJshPXr0yHXsli1brO2qVavanDsA2CIwMFBS5g3cmJgYh8Q8ffq0te3v7++QmAAAAHCO6tWra9u2bRo5cqRmz56ttLQ06yH/5V3ssv/NNE25u7tr0KBBmjZtmooVK1ageQMAAODaBgwYkON8LqtgU5L+/PPPHM8m8osCdwCFUdGiRbV169brjhs6dKhq1KihUaNGKTw8PMd3WfNky5Yt9dZbb6lly5bOSBUAcnBzdQIAAAAACj93d3cNGzbMWnouNTVV3bt318SJE3N0Ob6W7du3q127dlq5cqV187hkyZLq27fvFWNTU1O1fPlyaxwdAAAUtNKlS1vbx44ds7vIPSYmRkeOHLHmtezxAQAAUDgVL15cH330kQ4dOqTnn39e9erVk5T5YD+3f1WrVtXTTz+tffv26aOPPqK4HQAAoBDLrTNx9pcW8/rv8lgAcCPr2LGj/vrrL+3bt0/z5s3T1KlT9cYbb2jevHk6cOCANm3aRHE7gAJjmJxlAQAAAMiDS5cuqWHDhtq/f78kWcXu/v7+evDBB9WqVSvVrl1bfn5+KlKkiBITE3X8+HFt375dS5cuVVhYmBUra985c+bk2tHkm2++Ua9evaybyZs2bdIdd9xRMAcKAJKOHj2q4OBgax764IMP9OSTT9oc78MPP9QzzzwjKfOB2T///KOaNWs6JFcAAAAUnPj4eO3bt09xcXGKj4+Xl5eXSpUqpZCQEFWsWNHV6QEAAOA63Nyc0wvUMAylp6c7JTYAAMCtiAJ3AAAAAHl25MgRdezYUZGRkTmW7cxtefbLZRW1Z+0zYcIEvfTSS7mObdKkibX0XaVKlXTkyBHHHAAA5EPNmjV18OBBmaapcuXKae/evSpRokS+4yQkJKh27do6deqUTNNU5cqVdejQISdkDAAFwzRNbd26VRs2bNCePXt05swZJSQkKCMjQ2+//bYaN27s6hQBAAAAAMjVvHnznBa7f//+TosNAABwq/FwdQIAAAAAbhxBQUHavHmzhgwZop9++kmScizZeTVZS3uapqmAgAC999576tOnz1XH//XXX45NHABs0L9/f40dO1aGYejUqVPq1q2bfvnlFxUvXjzPMVJSUtStWzedPHlSUuZ8mNvKFQBwI0hNTdWMGTP03nvvKSoqKsd3WS8znj17Ntd9hw4dqpUrV0qSgoOD9dtvvzk9XwAAAFxbXFycVq9erb/++ktHjx5VQkKCUlJSrnmfLzeGYWj16tVOyhIAHIsidAAAgBsDHdwBAHCQgwcP6ocffriig50krVixQqGhoVfsc+LECaWmpkqSihcvrtKlSxdozgBgj59++knvv/++1qxZk6eHXmXLltV///tfjRgxgvkOwA0hKSlJISEhiouLs/5Wo0YNffzxx2rfvv1191+7dq2eeOIJHThwQFJm8WdgYKAOHTokX19fp+UNAM5w8OBB9erVS+Hh4Ves4pP988qVK3O9/l2zZo3uuusua9zmzZvVokWLAsoeAAAA2R09elTPP/+8fvjhB+sZha2yXnRMT093UHYAAAAAANDBHQAAux06dEijRo3STz/9ZD3Uz17omfXAPzevvfaaZs2aJUkqXbq0oqOj5e7u7tyEAcBB7r//ft1///06fvy4Nm/erK1btyo6Olrx8fG6ePGi/Pz8FBAQoDp16uj2229X8+bN5eHBJQiAG4e3t7dmzpypBx98UKZpyjRN7du3T6GhoapXr566du2qZs2aqUyZMvLx8VFiYqJiYmK0detWLVu2TLt27bIe9JumKTc3N82cOZPidgA3nEOHDqlNmzY6ffp0jnkte2H79V54DA0NVc2aNbVv3z5J0tdff02BOwAAgAusWLFCDz/8sBITE694cREAAAA3n5SUFH3zzTfW55YtW6p69er5jrN//36FhYVZn3v37i1PT0+H5AgAuaGDOwAAdvjuu+80aNAgnT9/3nrILynHA/9rdbDbv3+/ateubY37/vvv1a1bt4I+DAAAAFzDO++8o9GjR+faqfhqLi/6NAxD77zzjp599lnnJwwADnTp0iU1aNBA+/fvt+a0ypUra8SIEercubNuu+02+fj4WHPi1a5/JWns2LGaPHmyDMNQrVq1tHv37oI8FACQJK1fv95lv92uXTuX/TYASNLu3bvVokULJScnS8rbi4p5QQd3AACAwmv27NkaMmSIJKlIkSI6dOiQypcvn+84x48fV5UqVawVgObPn6/evXs7NFcAyI72iQAA2OiXX37RI488ovT09BzFTuXKldNtt92mLVu2XDdGjRo11Lp1a23cuFGSKHAHAAAohEaOHKkqVapo4MCBio+Pz1HYnlshgGEYOc4PAwICNHfuXN13330FljMAOMqMGTOs4nZJ6tGjh+bPn6/ixYvnO1bXrl01efJkmaapvXv3Ki4uToGBgY5OGQCuqUOHDi7pVGwYhtLS0gr8dwEgu9GjRys5OdmaBw3DUM+ePdWrVy81atRIZcqUkZeXl4uzBADnqlKliqTMOXD+/Plq2bKlzbE2b96svn37WvEiIiIckiMAONLcuXOtRjwPPfSQTcXtklShQgX95z//0cKFC624FLgDcCY3VycAAMCN6PTp0+rdu7dV3G6aph5++GHt2LFDx48f1x9//CEpb8t6Pvjgg5Iyi59WrVrl1LwBAABgm+7du2vv3r0aM2aM/Pz8ZJrmVbvcZX1XsmRJjR07Vnv37qW4HcAN691337WubZs0aaKFCxfaVNwuSY0aNcpxnfzPP/84JEcAsEXWOVtB/gMAVzp16pRWrFhhPdMoUaKE1q5dq6+++krdu3dX5cqVKW4HcEs4fPiw9S8lJcWuWCkpKTniAUBhk5CQoLCwMOueXM+ePe2K98gjj1jb69evt3seBYBroYM7AAA2mDBhgs6fP299njp1qkaPHm1TrI4dO1rbJ0+e1JEjRxQUFGR3jgDgaC+++KKGDBmikJAQV6cCAC5RpkwZTZ48WePGjdOff/6pDRs2KCIiQmfOnNH58+fl6+urgIAAVa9eXW3btlXz5s3l4cGtFwA3rj179ujIkSOSMl/gnjRpkjw9PW2O5+3trYoVK+rYsWOSpIiICLVt29YhuQJAfhVkF3eK2wEUBuvXr7fmI8Mw9O6776pNmzYuzgoAXMMVK/oAgCuEh4crPT1dUubc165dO7vitW/f3nph8tKlSwoPD7drJQwAuBaesgIAkE8ZGRmaP3++dePjoYcesrm4XZLq1KmjIkWK6NKlS5IyCwgocAdQGL3xxht688031aFDBw0ZMkQ9evSwq8AJAG5Unp6eat26tVq3bu3qVADAqbZv325t+/j46K677rI7ZsmSJa0C9/j4eLvjAUB+BQUF5aug6cKFCzp16pSkzGIA7tsBuFGdOHHC2vb29tajjz7qwmwAAABQEPbv329tBwUFyc/Pz654fn5+uu2226ymGPv27aPAHYDTUOAOAEA+hYWFWQ/hDcPQ2LFj7Yrn4eGhihUrKjIyUpKsCwEAKIxM09Rvv/2m3377TYGBgXrsscf0+OOPq1atWq5ODQAAAA52+vRpSZnXviEhIXJzc7M7ppeXl7WdnJxsdzwAyK/Dhw/na/yqVavUuXNn63PWPTwAuNEkJSVJyjy3q1q1Ko0rAMABUlNTrW3mVQCFUfballKlSjkkZunSpa26ljNnzjgkJgDkxv4nEgAA3GIOHDhgbZcpU0b169e3O6a/v7+1nZCQYHc8AHA20zQVGxuradOmqW7dumrbtq2++OILXbhwwdWpAQAAwEGyn9sVLVrUITGzX/OWKFHCITEBwJny0+0dAAqzwMBAa9vDgz54AOAI2VfH8PX1dWEmAJC7jIwMa9s0TYfEzB7n4sWLDokJALmhwB0AgHzK3sGuUqVKDomZ/WZyWlqaQ2ICgKO9++67qlu3rnXTIushv2ma2rx5swYMGKDy5cvrmWee0Y4dO1yZKgAAABygdOnS1nZsbKzd8dLT03X06FHrs6O6RgEAAOD6GjZsKCnzXt6xY8dcnA0A3ByWLl0qKfN5SVBQkIuzAYArZd1/M01TJ0+edEjMU6dOWdslS5Z0SEwAyA2vZgMAkE/Zl2TP/rarPbIv28QFAIDC6n//+5/+97//6Y8//tCnn36qRYsWKSkpKUehe0JCgmbMmKEZM2aoadOmGjJkiHr37i1vb28XZw8AjmGaprZu3aoNGzZoz549OnPmjBISEpSRkaG3335bjRs3dnWKAOAw5cuXl5Q590VFRSkhIUF+fn42x9u6dauSkpKszzVq1LA7RwAAAOTN7bffrkqVKunYsWOKiYnR7t27VbduXVenBQBOceTIkTyNO3XqVJ7HSpnXx8nJyYqMjNS3336rH374wfquSZMm+c4TAJytTJky1vaJEyd05MgRu17IOXLkiKKjo63nw9njA4CjUeAOAEA+ZXWwc9QbrsnJyYqKirIuALJ3yAOAwqhFixZq0aKF3nvvPX355ZeaNWuWtm7dKilnV/etW7dq27ZtGjlypHr37q3HH39czZs3d2XqAGCz1NRUzZgxQ++9956ioqJyfGeapgzD0NmzZ3Pdd+jQoVq5cqUkKTg4WL/99pvT8wUAR2jVqpU8PDyUnp4u0zT17bffatCgQTbH++STT6xtf39/Hv4DAAAUIMMw9MILL+iZZ56RJE2dOlXz5s1zcVYA4ByVK1e2nlfkJmul2r59+zrsN3v27OmwWADgKC1atMgxHy5YsEAvvviizfHmz58v6d/nIjz7BeBMbtcfAgAAsqtcubK1ffLkySsKnPLrt99+U1pamnUjpVGjRnbFA4CC4uPjoyFDhujPP/9UeHi4nnzySfn5+VnzmWEYMk1TiYmJmjVrlu644w41atRIM2bMUEJCgouzB4C8O3jwoO644w6NHDlShw8ftuY5STm2r6ZXr146fPiwDh8+rPXr1+uPP/5wZroA4DB+fn5q1aqVTNOUaZqaMmWKkpOTbYoVFham+fPnyzAMGYahrl27OjhbAAAAXM+TTz6p0NBQmaap+fPna86cOa5OCQCcKut6Nvu/632f13/Sv01/OnXqpE6dOhX48QHA9ZQpU0b169eXlDnnTZ06VcePH7cpVnR0tN58801r7qtZs6Zuu+02h+UKAJejwB0AgHy644475OPjY520z507165406ZNs7aDgoJUpUoVu+IBgCs0aNBA06dP1/HjxzVv3jy1bdv2ihu8pmnq77//1jPPPKMKFSpowIAB2rhxoyvTBoDrOnTokNq0aaPw8HCrI4n078Ova3WCyhIaGqqaNWtan7/++mun5QsAjjZq1ChJmed0kZGR6tOnj1JTU/MVIzw8XA8++KDVCd4wDI0ZM8YZ6QIAAOAaDMPQDz/8oDZt2sg0TQ0ePFijRo266opkAICrM01THh4eGjhwoL799ltXpwMAVzVkyBDrnlxCQoK6dOmimJiYfMU4deqUunTpooSEBCvWkCFDnJQxAGQyzLy0GgMAADn07NnTulHh6+urHTt25OjsLklubm5WwdPKlSsVGhp6RZxZs2ZpyJAh1rjRo0frjTfecG7yAFBA9u/fr5kzZ+rzzz/X6dOnJf3b1T1rW8p8u3/w4MF67LHHFBgY6LJ8AeByly5dUoMGDbR//35r/qpcubJGjBihzp0767bbbsvx4uPVzvkkaezYsZo8ebIMw1CtWrW0e/fugjwUALBLx44dtW7dOmu+a9iwod58803deeedkq5+/RsdHa3p06frgw8+sDq/G4ahvn37at68eS44EgDIv9WrV1vdOA3DUHp6uoszAgDbff7555Iyr3dff/11HTp0SIZhqHjx4rrrrrvUrFkzlSlTRsWKFct37Mcee8zR6QKAzf773/9e9bt58+bl6Lxevnz5PMd1c3OTt7e3AgICVLduXXXo0EGlS5e2O18AcKbU1FRVr15dR48elZT5gk6pUqX05ptv6tFHH5Wnp+c1912wYIGef/55xcXFWfvfdtttOnDggIoUKVIgxwDg1kSBOwAANti9e7caNmxode6sXr26li9fnqPI/XoF7p988omeffZZpaamyjRNeXl5KTIykpsgAG46qamp+vHHHzVr1iytWrXK+nv2SxHDMFSkSBH95z//0ZNPPqnWrVu7IlUAyOHdd9/VyJEjrXO67t27a/78+SpevLg1Ji8vNUrSpk2b1LZtW0mZc15MTAwv9QC4YZw+fVotWrRQVFSUJFldmsqVK6cmTZro559/lpQ5v3Xs2FHFihXTwYMHdeDAgRzjTdNUgwYN9Pvvv+eYSwGgMKPAHcDNJPs1bJbLm1HYivkRwI0ir/fzAOBm8vvvvys0NFSXLl2S9O/9usDAQIWGhlovOvr4+CgxMVExMTHaunWr1qxZo7i4uBz394oVK6ZVq1apVatWLj4qADc7CtwBALDRM888ow8//NA6iff29tbw4cPVr18/1ahRI8fNkVWrVqljx446efKk1qxZo+nTp+uPP/7IceP4jTfe0OjRo115SADgVPHx8Zo4caLeeeed6z5Ia968ucaPH6/OnTsXeJ4AkKVy5cpWR5MmTZpo8+bNV3QyyesDsaSkJJUoUcK6Cbx27Vqr4B0AbgQHDhxQt27dtHfv3itW5bn8xUXpypcZTdNU48aNtWTJElWsWLFgkwcAO1DgDuBmknUNm3Vtmpv8lA9kj8X8COBG4ebmJilzDqPAHcCtZOHChRowYIBSU1Ml5e1Fx8vvARYtWlSff/65Hn74YecnDOCWR4E7AAA2Sk9P17333qsVK1ZccUPY29tbiYmJkjJP9AMCApSSkqKUlBRr/+xvuPbq1UtfffWVS44DAJxt48aNmjlzpr799ltduHAhx3fXKoYyDEMPP/ywZs2aJR8fn4JLGAAk7dmzR3Xr1pWUOR8tW7Ys15du8tPxKSgoSMeOHZNhGJo9e7YGDBjglNwBwFlSUlI0cuRIzZ49W2lpaXnq8mmapjw8PDRo0CBNmzZNxYoVK4BMAcBxKHAHcDPJKup0NOZHADeSefPmWdtdunRR2bJlXZgNABSsLVu2qGfPnoqKispxby+3EtLLv69ataq+/vprNWnSpEByBQAPVycAAMCNyt3dXT/88IOeeOIJffHFFzkKMxMTE63iddM0FRcXl2Pf7GOHDh2qDz74oMDzBwBniouL07x58zRr1izt27dP0pVv+BuGoU6dOmngwIH6559/NGfOHB07dizHmG+++UZHjx7V+vXr5e7u7rLjAXDr2b59u7Xt4+Oju+66y+6YJUuWtOa5+Ph4u+MBQEErXry4PvroI7300kuaPn26li1bpl27dl21y2e1atXUpUsXjRgxQiEhIQWcLQAAAC43Z84cV6cAAC7Xv39/V6cAAC7TvHlz7du3T3PnztV7772nPXv2XHVs1j2/+vXr69lnn1W/fv2uWOUWAJyJAncAAOxQvHhxzZs3T/fcc4/GjRunvXv3Svq3gD23bnZZRe/VqlXThAkT1KtXrwLNGQCcadWqVZo1a5YWL16sS5cu5bq0XalSpfTf//5XQ4YMUZUqVay/v/rqq/r55581depUbdq0ySpyDwsL06effqphw4YV+PEAuHWdPn1aUub8FRIS4pAud15eXtZ2cnKy3fEAwFUqVaqk119/Xa+//rri4+O1b98+xcXFKT4+Xl5eXipVqpRCQkJUsWJFV6cKAACAbCjqBAAAQJEiRTRkyBANGTJE0dHR2rBhgyIiInTmzBmdP39evr6+CggIUPXq1dW2bVuVL1/e1SkDuEVR4A4AgAP06tVLvXr10vLly/XLL79ow4YN2rNnjy5evGiN8fDwUHBwsDp27KguXbqoe/fuTlsOFAAK0okTJzRnzhzNnj1bhw8flnRlt3bTNNW+fXs98cQT+s9//pPr2/1ubm66//77df/992vu3LkaPHiwMjIyJElfffUVBe4ACtSFCxes7aJFizokZkJCgrVdokQJh8QEAFfz9/dXixYtXJ0GAAAAAAAAgHyqWLGiHnnkEVenAQC5osAdAAAHuvvuu3X33Xdbn5OTk60Odv7+/q5LDAAczDRN/fLLL5o5c6Z++eUXpaen59qt3d/fX/3799fQoUNVs2bNPMcfMGCA1q9fr7lz50qSdu3a5dD8AeB6SpcubW3HxsbaHS89PV1Hjx61PpcqVcrumAAAAMi/9evX52v8jh07cnzesGGDdf2bX+3atbNpPwAAAAAAAOBWQ4E7AABO5OXlJS8vL1enAQAOc+TIEc2ePVtz5sxRdHS0pMxid8MwcnRrb9WqlYYOHaqePXva3Pm4U6dOVoH7uXPnHHUIAJAnWUtumqapqKgoJSQkyM/Pz+Z4W7duVVJSkvW5Ro0aducIAAXh888/t7bvvvtulS1b1uZYJ0+e1IoVK6zPjz32mF25AYAtOnTokOPF7PwwTVMdOnSwaV/DMJSWlmbTvgAAAHCc0NBQp8Q1DEOrV692SmwAAIBbEQXuAAAAAPKkS5cuWrVqlVXELilHYXuJEiXUr18/DR06VPXq1bP798qUKWNt29odDwBs1apVK3l4eFgrVHz77bcaNGiQzfE++eQTa9vf319NmjRxRJoA4HQDBgywCkFXrlxpV4H77t27c8SjwB2AK+XnOjN7QTzXpwAAADe2tWvX2vzC49VkNQICAACA47i5OgEAAAAAN4YVK1bkKGyXMm/aNm3aVDNnztTx48f1wQcfOKS4HQBczc/PT61atbJe6pkyZYqSk5NtihUWFqb58+dbLwV17drVwdkCgHM5upiT4lAAhUHWuVle/tm6X277AwAA4MaXdc+Q61sAAADnoYM7AAAAgHwxTVM+Pj7q3bu3hg4d6rQuxHXr1tWcOXOcEhsA8mLUqFFav369DMNQZGSk+vTpo0WLFsnT0zPPMcLDw/Xggw9aneDd3Nw0ZswYJ2YNAI5HcSaAm0lQUBDzGgBcxcWLFxUfH6+LFy/me9+goCAnZAQAzmFvYXr2JkAUuQMo7D7//HOnxWaFRgDOZJicaQEAAADIAzc3NzVo0EBPPPGE+vTpI19fX1enBABO17FjR61bt856aNWwYUO9+eabuvPOOyVlzo1Z361cuVKhoaGSpOjoaE2fPl0ffPCB1fndMAz17dtX8+bNc8GRAIBtrjbP2WLVqlXq3LmzFTctLc0hOQIAAMA2e/fu1dy5c7V582Zt377d5pXLDMPg3A7ATS0lJUWnT5/Wli1b9PXXX+uHH35QRkaGqlatqkWLFqlRo0auThEArir7/T1HS09Pd0pcAJAocAcAwCZVqlRxaDwPDw/5+fnJz89PwcHBatasmVq3bq0GDRo49HcAwB5//PGHWrRo4eo0AKBAnT59Wi1atFBUVJSkzK5MhmGoXLlyatKkiX7++WdJmQ/zO3bsqGLFiungwYM6cOBAjvGmaapBgwb6/fffVbx4cZcdDwDklyML3H/88Uf95z//kST5+voqISHBITkCAAAgf2JjYzV48GAtWbLE+ps9ZQOGYVDcBOCWsmXLFvXq1UtRUVHy8fHRL7/8otatW7s6LQDIVdb9PUeViWbF4hwQgLNR4A4AgA0cfQGQ5fK3Zhs3bqyRI0fq0UcfdejvAAAAIO8OHDigbt26ae/evTnOAS8/H8y+NHH2v5mmqcaNG2vJkiWqWLFiwSYPAHZyZIH7+PHj9dprr0mSgoKCdPjwYQdkCAAAgPyIiIhQu3btdPLkyRwvZUs5n1Hkdr2b3eXfU9wE4FYTERGhFi1a6MyZMwoMDNTOnTtVrlw5V6cFAFdwc3Oza/9rnSNyDgjAmTxcnQAAADcDe5ZzyrqBfPnfJOmvv/5Sv379tGjRIs2bN09+fn525QkAAID8q169urZt26aRI0dq9uzZSktLs87fcjsPzF7o7u7urkGDBmnatGkqVqxYgeYNAIVJZGSkPv30U2uOrFOnjoszAgAAuPVcuHBB3bp104kTJ3Jc17Zo0UIhISH66quvrL917txZAQEBOnPmjHbv3q3o6GjrO0mqVasWqz0CuKVVrVpVY8eO1ciRI3XmzBmNGTNGc+fOdXVaAHCFOXPm5Huf5ORknT59Wlu2bNGaNWuUkpIiwzBUrVo1vfDCC/LwoOwUgPPRwR0AABtUrlzZuol77tw5nT179ooOnkWKFFGJEiVUtGhRnTt3TomJiVd0QTEMQ7fddpskKTExUQkJCUpLS8sxJqsAvl27dlqxYoU8PT0L7DgBAACQ07FjxzR9+nQtW7ZMu3btuuqKPtWqVVOXLl00YsQIhYSEFHCWAJA/AwcOvOp3c+fOta5PO3furPLly+c5rmmaSk5OVmRkpMLDw5Wenm5d477++ut67rnn7M4dAAAAeffBBx/o2Weftc7vmjRpoq+++krVqlWTdO3Vew4cOKAPP/xQH330kVJTU+Xm5qYXX3xREyZMKPgDAYBC4uzZsypdurQyMjLk6empmJgYGpYBuOnExcVp3Lhx+vDDDyVJ7du31+LFi+Xr6+vizADc7ChwBwDADl999ZWeeuopJSQkyDRNderUSX379lWrVq1UtWrVHGMTExO1Y8cOLV68WF988YVOnTolwzDUpUsXff755woMDJRpmvrnn3+0atUqffzxx9q3b59VOG8Yhl588UVNnDjRRUcLAACA7OLj47Vv3z7FxcUpPj5eXl5eKlWqlEJCQlSxYkVXpwcAeZa9kOlyly87bIvsL3ubpilfX1/t379fZcuWtSkeAAAAbFOtWjVFRkbKNE1VrFhRu3btylGIea0C9yzh4eHq3r27jhw5IsMwNGrUKE2dOrXAjgEACpsaNWro4MGDMgxDP/zwgx544AFXpwQATjFr1iwNGTJEhmHozjvv1PLly22+XwgAeUGBOwAANnr33Xc1atQoSVK5cuX0xRdf5HqzNzeJiYkaPXq0tTx7tWrVtHHjRpUuXdoak56errFjx+qNN96wigB8fHx0+PBhBQQEOOWYANza1q9f77Lfbteunct+GwAA4Fbn7AL37LGKFSum+fPn6z//+Y9dsQAAAJA/R44cybE67UcffaQhQ4bkGJOXAndJOnjwoJo3b66EhAQZhqEVK1bozjvvdO4BAEAhdccdd+jPP/+UYRh66623NGLECFenBABO07dvX3355ZcyDEPvvfeenn76aVenBOAmRoE7AAA22Lhxo9q3by/TNBUYGKgtW7aocuXK+Y4zatQoTZs2TYZhqGPHjlq1atUVY55++mnNmDFDUmYxwYwZMzR06FB7DwEArnCtwiZnMgxDaWlpBf67AAAAyOTm5ubU+O7u7qpRo4Y6d+6sJ598UtWrV3fq7wEAAOBK3333nR5++GFJmffjYmNjVbJkyRxjst8fvF7R+ttvv63nnntOhmGoZcuW2rhxo/OSB4BCrFatWtq/f78Mw9DEiRP14osvujolAHCaXbt2qUGDBpKk8uXL69ixY3RxB+A0FLgDAGCDNm3aaPPmzTIMQ5988okef/xxm+KkpqaqVq1aioyMlGEY+uWXX3T33XfnGHPu3DkFBwfr3LlzkqSePXvqq6++svsYAOByWQ+wCvoSwTAMpaenF+hvAgAA4F9RUVG5/t00TVWpUsV6SDV//ny1atUqz3Hd3Nzk7e2tEiVKyMPDwyG5AgAAwDYfffSRnnrqKUlSUFCQDh8+fMWY7AXuixcv1n333XfVeHFxcSpXrpzS09NlGIaioqJUqVIlp+QOAIXViRMncsx9ua2OAQA3m3LlyikmJkaGYWjjxo1q2bKlq1MCcJPiqQIAAPkUGRmpzZs3S5KKFi2q3r172xzL09NTffr00cSJEyVJCxYsuKLAvUSJEurWrZs+//xzSdKOHTts/j0AyIuCfMue920BAABcLzg4OE/jypYtm+exAAAAKFzi4+MlZd77K126dK5jihUrposXL0qSkpKSrhkvMDBQISEhOnjwoCQpLCxMDz30kOMSBoAbwNixY63nHIZhsGIZgFtCpUqVFBMTI0n6+++/KXAH4DQUuAMAkE9hYWGSMm9ShISEyNvb26549evXvyL25Vq2bGkVuMfGxtr1ewBwNUFBQfkqbr9w4YJOnTolKXNODAoKclZqAFCo/f7775o/f742bNig6OhoJScnq1SpUgoKCtLdd9+tRx99VNWqVXN1mgBgk+zniMWLF3dxNgAAALBVkSJFrO2rra5TokQJqxtndHT0dWMGBgZaBe5Hjx51TKIAcAM4d+6cnn/+ec2ZM8daGdfHx0dt27Z1dWoA4HTZV+Y+c+aMCzMBcLOjwB0AgHw6duyYte3j42N3vKwCedM0r3rDuFy5ctZ2VpcVAHC03JYlvpZVq1apc+fO1ufIyEgHZwQAzrdz584cXZayv3x4PfHx8erfv7+WLl0qKeeqFNHR0Tp+/LjCwsI0adIkPfvss5oyZYrc3d0dewAA4GT5PUcEAABA4VSyZElrOyEhIdcxZcqUsbpx7tu377oxsz+vSElJsS9BACggWU3F8islJUWnTp3S9u3btXLlSmveM01ThmFo+PDhV32BCABuFqmpqYqIiLAaYtjbEBIAroUzKwAAbHStgvT8OH78+HXHFC1a1Nr29PS0+zcBwBHy0+0dAAqjnTt3qlGjRtbnDh06aPXq1Xna9+zZs2rVqpX279+fo0D+cqZpKjU1VW+//bYOHjyob775hiJ3AAAAAECBq1mzpqTM69SrPZdo0KCBdu3aJdM0tW7dumvGO336tA4cOGBdC/v5+Tk2YQBwkgEDBtj9fCP7/UDTNNW8eXONGTPGEekBQKH25ZdfKjExUVLmHFihQgUXZwTgZubm6gQAALjRlC9f3to+ceKEdu/ebVe85cuX5xo7u+xdUHx9fe36PQAAAGRatmyZTNO0HkiNHDkyz/s++uijVjc7wzCsh1mX/8v+3eLFizVhwgSnHAsAAAAAANdSr149q6Dz/PnzOVarzXLHHXdY2wcOHNDKlSuvGm/q1KnKyMiwrqmrVavm4IwBwLlyu5d3vX9ZsuZT0zR13333admyZSpevLirDgUACsTmzZs1fPhwaw40DEPt27d3cVYAbmZ0cAcAIJ8aNmwo6d8bF6+++qq+/fZbm2Lt2LFDixcvtmI1aNAg13HZi6eCgoJs+i0AAADk9Ntvv1nbFSpU0L333pun/RYvXqzly5fn6PRkmqZCQ0PVs2dPVa5cWUlJSdqyZYvmzJmjU6dOWUXub7zxhgYMGKDKlSs7+nAAoECdP39eYWFhCgsL05EjR3T27FmdP39evr6+KlmypIKDg3XHHXeoRYsWvKgNAABQCPj5+alhw4YKDw+XJK1bt059+vTJMaZnz54aMWKEVbjev39//fjjj7r99tutMRkZGXr77bf1zjvvWNe6xYoVU9u2bQvycADALtmL1W3Zz8vLS3fffbcGDx6sLl26ODI1ACg0Ll68qFOnTmn79u1atGiRFi1apPT0dEmZtSt33323Spcu7eIsAdzMKHAHACCf6tevrxo1aujAgQMyTVM//PCDXnnlFY0fPz5fcQ4fPqwePXooPT3d6u7Zs2fPXMeGhYVZ21nLiAIAAMA+W7ZssYrUH3zwwTzv9/rrr1vbWedxM2bM0BNPPJFjXI8ePfTcc8+pW7du2rhxoyTp0qVL+uyzz/J97ggAhUV4eLimTZumRYsW6dKlS9cdX7RoUfXq1UvDhw+3XhgHAACAa3Tu3NkqcP/555+vKHAvU6aM+vXrp7lz58owDJ08eVItW7ZUo0aNVLNmTV26dElhYWE6ceKEVeRpGIYef/xxeXl5FfThAIBN5syZk+99DMNQsWLFVKJECQUHB6tmzZpyc3NzQnYA4Hju7u4OiZP1PMQ0TXl5eemtt95ySFwAuBrDtPW1RAAAbmELFixQv379rJN3wzAUGhqqKVOmqFmzZtfc9/z585o9e7bGjx+v+Ph4q6iqTp062r59uzw8cr5/dvbsWZUrV05paWmSpPfff19PPfWUcw4MAPJh9erV6tSpk6TMm7tZb+wDwI3gyJEjVhd1wzD066+/WnPatezZs0d169bNcR44cOBAzZw586r7nD17VrVq1VJsbKxM01SVKlV08OBBRx0KABSItLQ0vfLKK3rzzTetjp5Zsq9okeXy793c3PT8889r3LhxV1z3AgAAoGCEh4erSZMmkqRixYrpyJEjKlWqVI4xcXFxatSokY4fPy5JOQrZL/9smqZq1KihLVu2sGoPAABAIeWIF3Kynwv6+Pjo22+/VefOne2OCwDXwpMEAABs0KdPH3333Xf68ccfrZu4a9asUYsWLVS1alW1atVKtWvXlp+fn4oUKaLExEQdP35c27dv14YNG3Tx4sUcb7cWL15cs2fPzvUh/5w5c5Samirp32WeAAAAYJ+IiIgcn5s3b56n/X7++eccn93c3PTaa69dc5+SJUtq5MiRevHFFyVJkZGRio2NvaKIAAAKq7S0NHXr1k2//vrrFQVN0rWXds96+JWenq7XX39dO3bs0OLFix3WOQoAAAB516hRI33wwQe6cOGCJOn06dNXXJsGBgZq7dq1uueee3TgwIErXmbMOg80TVONGjXS4sWLKW4HAAAo5LLfy7OFaZry9PRUjx49NHXqVAUFBTkwOwDIHQXuAADYaOHChXrwwQf1888/53hb9eDBg1cUTGV3eTGAl5eXfvzxR91+++25jt+6davat28vSapYsaKqVavm4CMBAAC49Rw+fNjarlChgvz9/fO039q1a61twzDUsWNHVaxY8br79ezZ0ypwl6QdO3bozjvvzGu6AOBSQ4cO1bJlyyTlLGhq1aqV7rzzTjVs2FClSpWSt7e3kpKSFBsbqx07dmjNmjXatGlTjv2WLVumoUOHatasWa48JAAAgFtWXlaIrVq1qnbt2qWPPvpIX3/9tbZs2WKtMuvh4aEWLVroscce03//+19W5wEAACjk2rVrl+sKjNdiGIaKFSumEiVKKDg4WE2aNNFdd92lwMBAJ2UJAFcyTHtezQEA4BZnmqamTZumV155RcnJyVdcFFxtyfasv7dt21azZs1S9erVCyZhAHCg1atXq1OnTpIy57j09HQXZwQAeffuu+9q5MiRMgxD9evXV3h4eJ72CwwMVHx8vLUazxtvvKHRo0fned+zZ8/KMAzNmjVL//3vf+04AgAoGJs2bVLbtm1zvNjdtWtXvfPOO6pZs+Z199+3b59GjRqlX375xSpyNwxDGzduVMuWLZ2dPgAAABzANE3FxcXJNE0FBgbKzc3N1SkBAAAAAG5yXHkCAGAHwzA0cuRIRUREaMKECapevbrVye7yd8iy/la8eHE9+OCD+vXXX7Vu3TqK2wEAAFwgKSnJ2vby8srTPhERETp79myOv7Vt2zbPv1mpUiVr+9y5c3neDwBc6bXXXpP074vaY8eO1c8//5yn4nZJqlmzppYuXaqXX37ZKm43TdOKCwAAgMLPMAyVKlVKpUuXprgdAAAAAFAgWC8MAAAHKFu2rF566SW99NJLio2N1datWxUdHa34+HhdvHhRfn5+CggIUJ06dVSvXj25u7u7OmUAAIBbWvHixa3tvBab//nnnzk+u7u7q2HDhnn+TW9vb2s7e4E9ABRW586d07p166zu7d27d9f48eNtijVu3Djt2rVLP/zwgyRp7dq1On/+vHx9fR2WLwAAAAAArmwsUaJECZf9NgAAwM2GAncAABysVKlS6tKli6vTAAAAwDX4+/tLyuxIHBUVlad9wsLCcnyuU6eOihUrluffzP5wrWjRonneDwBcZePGjUpLS5OU2bVz3LhxdsUbN26cVeCelpamjRs3qmvXrnbnCQAAAABAFn9/f+tF7YJkGIZ1DQ0AAAD7sX4YAAAAAAC45YSEhFjbycnJCg8Pv+4+q1atkmEYMk1ThmGoTZs2+frN2NhYa9vPzy9f+wKAKxw/ftzarlChgurVq2dXvHr16qlixYrW5+joaLviAQAAAACQG9M0XfIPAAAAjkOBOwAAAAAAuOU0a9ZMbm5uVjenuXPnXnP8zp07tWfPnhx/69ChQ55/78yZM4qJibF+r1KlSvnKFwBcIevFHMMwVKFCBYfELF++vLUdFxfnkJgAAAAAAGRnGIZT/13+GwAAAHA8D1cnAAAAAKBwWL9+fb7G79ixI8fnDRs22NyhpF27djbtBwC28vX1VcuWLbVp0yZJ0scff6zHHntMTZo0yXX8+PHjc3wuXry4unbtmuff27x5syRZ3d9r1KhhY+YAUHC8vb2t7YSEBIfEPHfunLXt5eXlkJgAAAAAAGQJCgpyetF5amqqjh8/TnE7AACAE1HgDgAAAEBSZidiW2/GmqaZr07G2RmGobS0NJv2BQB7DBkyRJs2bZJhGLp06ZLuvvtuzZgxQw899JA1HyYnJ+uVV17Rd999J8MwrAL1Bx98MEfh5/WsXr3a2vbx8VFISIjDjwcAHK1MmTKSMs/1Dh8+rPj4ePn7+9scLz4+XpGRkdYcmxUfAAAAAABHOXz4sNNiZ2Rk6IsvvtC4ceOc9hsAkFfu7u4u/X2e8QJwNgrcAQBwoEOHDmn79u2KjY1VfHy8Ll68mO8Yr7zyihMyA4C8y08X9uwF8bZ2bwcAV3n00Uc1bdo07dixQ4ZhKC4uTo888ogCAgJUrVo1paena/fu3bpw4UKO/dzd3fXSSy/l+XfS09P11VdfWXNmy5Yt6e4E4IbQuHFjSZnnfKmpqfrss880cuRIm+N99tlnSk1NtWJmxQcAAAAAoLD77rvv9Morr2jv3r2S/n0+kvVspHv37q5KDcAtimezAG52hslMBwCAXaKjozV9+nTNnTtXMTExdsdLT093QFYAkH9ubm4FXnCZ1QmZuQ+Aq+zcuVNt27bV+fPnJf17QzirW3uW7PPj//3f/2nChAl5/o0lS5aoe/fuVoxJkyZpzJgxjkgfAJyuevXqOnTokEzTlLe3tzZt2qQGDRrkO87OnTvVqlUrJScnyzRNVa1aVQcOHHBCxgAAAAAAOM6yZcs0duxYhYeH53rvsFOnTpo0aZKaNWvmyjQB3IKynu3mt/zzWs+Ds57dXuv77HF4xgvAmejgDgCAHebPn6+nnnpKiYmJ17xouPwN/ty+v96FAgA4W1BQEPMQgFtO/fr1tWrVKt177706ffp0jnkwt1UqHnvsMY0fPz5fv/H666/nON+7//77HZM8ABSAoUOH6vnnn5dhGEpKSlKHDh302Wef5asz3ZIlSzRw4ECruN0wDA0bNsx5SQMAAAAAYKf169frpZde0ubNmyX9W/RpmqZM01Tr1q01adIktWvXzsWZArhVtWvXLt/Pdg8ePKjo6OgrCuNvu+02BQYGytvbW0lJSYqLi9PRo0et77N+p1KlSqpatapjDgAAroMO7gAA2GjevHkaOHBgjpsZWXIrhsruat/zhisAAIBrJCQkaPz48VqwYEGuq/LUrVtXL774oh599NF8xf311191zz33WJ9r1KhhLWMMADeCS5cuqXbt2jp8+LCkfx/ot27dWgMHDlRoaKiCgoKu2O/IkSNas2aN5s6dqw0bNuS4dq5atar++ecfeXp6FvDRAAAAAABwbVu3btVLL72kVatWScrZzdg0TTVu3FgTJ05U165dXZkmAOTbpEmTNG7cOKWnp8s0TXXv3l0DBgxQ+/bt5efnd8X4hIQErVu3TnPmzNHixYtlGIY8PDz02muv6cUXX3TBEQC41VDgDgCADSIiIlSvXj1dvHjRekDftm1b9enTR5UrV1aXLl2sGx1vvvmm6tWrpzNnzmj37t1as2aNfv/9d0mZBe21a9fW66+/Ll9fX0lS+/btXXZcAAAAtzrTNLVjxw4dO3ZM58+fl7+/v+rWrZtr8WZeHDhwQMePH7c+ly1bVrVq1XJUugBQIHbv3q127dopPj5e0pVLFZcoUeKKDk/nzp2zvs9e3B4QEKD169erTp06BX0YAAAAAABc1e7du/Xyyy9r8eLFkq4sbK9Vq5bGjx+vhx56yJVpAoBNhg8frg8++ECSVKFCBS1cuFCtW7fO8/4bN25U7969re7vzz77rN555x1npQsAkihwBwDAJoMHD9bs2bMlZRapjxs3TmPHjrW+d3Nzs254rFy5UqGhoTn2Dw8P15NPPqmwsDCryH3FihWqUKFCwR0EAAAAAAB5tHXrVj388MOKiorK8YD/erKPrVy5sr755hs1bdrUqbkCAAAAAJBXERERevXVV/X1118rIyPjisL2ypUr67XXXlPfvn3l5ubm4mwBIP9++OEHPfjgg5KkUqVKadu2bbrtttvyHScqKkrNmzdXbGysDMPQ999/r27dujk6XQCwcOYFAEA+paena+HChTIMQ4Zh6O67785R3J4XjRo10saNG9WvXz+Zpqk9e/bo3nvvVWpqqpOyBgAAAADAds2aNdPOnTv11FNPqXjx4lZxe9a1cW7/pMxiAC8vLz3zzDP6+++/KW4HAAAAABQK0dHRGjp0qOrUqaOvvvpK6enpkmStQFauXDl9+OGH2rdvnx577DGK2wHcsF555RVJmfPb1KlTbSpul6Tg4GC98cYbkjLv+eW3TgYA8osO7gAA5NOWLVvUokULSZkXAKtWrVLHjh1zjLleB/csGRkZatGihbZt2ybDMDRx4kS9+OKLzj0AAAAAAADskJCQoC+//FLr1q3TH3/8oaNHjyojI8P63s3NTbfddpvuuOMOtW/fXr1795afn58LMwYAAEB6erqSkpKsz8WLF5enp6cLMwIA1zh9+rQmT56sTz75RBcvXryiY3tgYKBeeOEFPf300ypWrJiLswUA++zevVv169eXJHl5eSk2NtauuS0lJUWlSpVSSkqKDMPQ33//rbp16zoqXQDIgdcLAQDIp71791rbRYsWVfv27a85/lpd2d3c3DRx4kRJmTdM3n///Twt8Q4AAAAAgKv4+flp2LBhWrhwoSIjI5WWlqazZ8/q6NGjOnv2rNLS0hQZGamvvvpKTzzxBMXtAAAAhcC8efNUsmRJ69+GDRtcnRIAFKiEhASNHTtWVatW1fvvv68LFy5I+rdju4+Pj1599VUdOnRIo0ePprgdwE1h69atkjLnupCQELvntuLFi6tKlSpXxAcAZ/BwdQIAANxozpw5I+nfC4DclqPLestfknVz5GruuusulShRQufOnVNMTIy2bt2q5s2bOzZpAAAAAADy6cCBA1q2bJn1+a677lKdOnVyHevn50chOwAAQCF26tQpq8GOv7//VVeeBYCbTXJyst5991299dZbSkhIsObCrML24sWL66mnntKYMWMUEBDg4mwBwLFOnjxpbRctWtQhMbPHyR4fAByNAncAAPIp+xKeV3t47+Pjo/Pnz8swDMXHx18znru7u4KDg7Vz505J0q5duyhwBwAAAAC43K+//qoRI0ZIynzwHxER4eKMAAAAYCsfHx9Jmed1wcHBLs4GAJzv0qVL+uijjzRlyhSdPn36isJ2Dw8PDR48WGPHjlW5cuVcnC0AOIenp6ckyTRNRUVFOSRm9jhZ8QHAGa5sOQsAAK7J19fX2r548WKuY0qUKGFtHz169Loxsy8DFRMTY0d2AAAAAAA4RmJiokzTlGmaqlChAoVQAAAAN7Dy5cu7OgUAKBDp6emaOXOmqlWrppEjRyomJkamaVorcLu5ual///7at2+fpk+fTnE7gJtaxYoVre0zZ85ow4YNdsVbt26d4uLirM8VKlSwKx4AXAsd3AEAyKfsNzkSEhJyHVOlShVFR0dLkrZt23bdmEeOHLG2s26uAAAAAADgSqVLl5aUeZ3KwyoAAIAbW+3atSVldu/MS2MeALhR1apVS4cOHbqiY7skPfTQQxo/frxq1arlyhQBoMC0aNFC0r9z4ahRo/T777/L3d0937HS0tI0evToHH+74447HJInAOSGDu4AAORTnTp1JGXeBD5y5IhSU1OvGNOwYUNrzNq1a5WcnHzVeH/++adOnTplFbaXKlXKCVkDAAAAAJA/2Yvar/aCNwAAAG4MdevWVd26dSVJZ8+e1R9//OHijADAOSIiIiTlbCrWunVrrVmzRrNmzVKFChV07tw5p/wDgMKmcuXKatmypaTMeXHbtm3q0aOHkpKS8hUnKSlJPXr00LZt22QYhgzDUMuWLVW5cmUnZA0AmQwz6zVFAACQJ2lpaQoICFBiYqJ1AdCoUaMcY5YuXaoHHnjAunHyf//3f5owYcIVsS5evKgOHTpYN5INw9Bff/1lFcgDAAAAAOAqZ86cUfny5ZWamqqiRYsqNjZW3t7erk4LAAAANvrggw/07LPPyjAMderUSb/++qurUwIAh3Nzc7Oe0Wbv4u5shmEoLS3N6b8DAPn1+++/q23btjJNU6ZpyjAMlS9fXi+//LJ69eolf3//q+4bHx+vhQsXauLEiTpx4oSkzLnVzc1NGzZssIrnAcAZKHAHAMAG9957r5YtWybDMDR58mS98MILOb5PS0tTpUqVdPr0aesCYejQoRo2bJhq1qypS5cuaePGjXr55ZetN1xN01TVqlV14MABFx0VAAAAAAA5PfDAA1q6dKkMw9Bnn32m/v37uzolAAAA2Cg9PV0dOnTQpk2bZBiGRowYobfeesvVaQGAQ2UvcM9SEKVRhmEoPT3d6b8DALYYP368XnvtNas2Rcqctzw9PdWgQQPVq1dPgYGB8vLyUnJysmJjY7Vr1y7t3LlTqampVt2LlDmnvvrqq3r11VddeUgAbgEUuAMAYIOPPvpITz31lAzDUPPmzRUWFnbFmNmzZ2vw4MHWBUJunQGy/p71388//1x9+vQpiEMAAAAAAOC6fv/9d7Vp00aSVL58eW3fvl2lS5d2cVYAAACwVXx8vB544AFt3LhRhmGodevWGj9+vDp06ODq1ADAIXIrcHe2rGe9FLgDKMwmT56sl19+2fqcvWz0avUs2b/PmuvGjRunsWPHOjdZABAF7gAA2CQuLk7lypWzblKEhYXp9ttvv2Jcv379tGDBgiuWwcuS/e9PPPGEZsyY4eTMAQAAAADIn6lTp2rMmDEyDEN16tTRokWLVLt2bVenBQAAgHwaP368JCk1NVWzZs3SqVOnrOcUZcuWVbNmzRQSEqISJUrI09MzX7FfeeUVh+cLALaoXLlygRe4Z4mMjHTJ7wJAXm3evFlDhgzRP//8Iyn3wvbLZdW51K5dW5988onVDAMAnI0CdwAAbBQfH28VuHt7e6tYsWJXjDFNU+PHj9fUqVOVkpKSaxxfX1+9/PLLGj16tFPzBQAAAADAVp9++qlGjBihlJQUFSlSRI888ogeeeQR3X777QoICHB1egAAAMiD3LoaX69zZ17RtRgAAODGYJqmVq5cqc8++0xr165VTEzMVceWKVNG7du318CBA9W5c2eXvUAE4NZEgTsAAAUgJiZGixcvVlhYmE6dOiXTNFWuXDm1atVKPXr0oBgAAAAAAFAoValSxdqOi4vT+fPnJeUsfvLx8cl3l0/DMBQREeG4RAEAAHBduRW428s0TRmGQYE7AADADerIkSOKjIxUfHy8EhMT5e3tLX9/f1WpUkVBQUGuTg/ALYwCdwAAAAAAAABArrKKoLIKl7LYe1uZIigAAICC5+bm5pS4nNsBAAAAABzNw9UJAAAAAAAAAAAKt8s7fdrT+ZOeKwAAAK7x22+/uToFAAAAAADyhA7uAAAAAAAAAIBcVa5c2a5i9muJjIx0SlwAAAAAAAAAAHBjo8AdAAAAgF2Sk5MVHR2thIQEpaSk2NSRs127dk7IDAAAAAAAAAAAAABuXkuWLLG2W7durcDAQKf91s6dO/Xqq69Kylzh8bvvvnPabwEABe4AAAAA8m3Pnj2aNWuWli1bpgMHDigjI8PmWIZhKC0tzYHZAcC1ValSxaW/bxiGIiIiXJoDAAAAAAAAAAC48bm5uVkrMK5cuVKhoaHXHG9Pkfrq1avVqVMna9/09HQbswaA6/NwdQIAANxM6GIM4GZ36dIlPf/88/rwww+VkZFh0zwHAK52+PBhGYbhsjks60YzAAAAAAAAAACAvUzTzPOzh5iYGP3444+SeF4BoHCjwB0AADvRxRjArSItLU0PPfSQfv75Z6soNOumB4XuAG5Eeb1xe/mcZ4usm8vMlwBuBP/8849WrFihnTt3KjY2VmlpaQoMDFRISIhCQ0PVpk0bubu7uzpNAAAAAAAAAKJQHcDNiQJ3AABsRBdjALeaDz74QEuXLpVhGFaRpmmaatCggRo1aqQyZcrI29vb1WkCwHUFBQXl+2ZvQkKC4uPjryhSd3d3l6+vr7y9vZWUlKTz58/nWJIz63dKliypEiVKOOYAAMBJdu3apVGjRmnVqlVXHTNx4kSFhIRo0qRJ6tWrVwFmBwAAAGcwTVNbt27Vhg0btGfPHp05c0YJCQnKyMjQ22+/rcaNG7s6RQAAAADALYgCdwAAbEAXYwC3moyMDE2ePDlHYWeXLl00bdo01axZ08XZAUD+HD58OF/jFyxYoKefftqaAxs3bqz+/furQ4cOqlOnjjw8/r29kpaWpt27d2vdunWaO3euwsPDrf0mTZqkRx991MFHAwCO8euvv6pnz55KSkrKcV2b27XuoUOH9Oijj2rbtm2aOnVqgecKAAAA+6WmpmrGjBl67733FBUVleO7rFXIzp49m+u+Q4cO1cqVKyVJwcHB+u2335yeLwAAAADg1kKBOwAANqCLMYBbTVhYmOLi4qx5795779WPP/4oNzc3V6cGAE719ttv6/nnn5ck+fj46KOPPrpmkbqHh4caNmyohg0b6n//+58WLFigp556SgkJCerXr59iYmI0fPjwAsoeAPLm4MGDeuihh5ScnCwpZ1F7bsXuWd+9/fbbqlatmoYMGVKwCQMAAMAuBw8eVK9evRQeHm5TE59evXpp5syZkqSoqCj98ccfatGihfMSBgAAAADccihwBwAgn+hiDOBW9M8//0j6t3vTtGnTKG4HcNNbv369nn/+eZmmKW9vb61duzbfS7P36dNHderUUbt27ZSUlKTRo0erWbNmatOmjZOyBoD8GzZsmJKTk3MUNbm5ualRo0aqUqWKPD09dfz4cW3ZskUpKSk5XvYePXq0HnroIQUEBLj4KAAAAJAXhw4dUps2bXT69GnrXl/2FxuzP/u4mtDQUNWsWVP79u2TJH399dcUuAMAAAAAHIqKFAAA8imri7GUeaP3vvvu09KlSyluB3BTi42NtbYrV66sqlWrujAbACgYY8aMsR72T5gwId/F7VkaN26scePGScp8WfKFF15wZJoAYJc9e/Zo9erVOQqb+vTpo6ioKG3btk3ffPONvvzyS61du1axsbGaMmWKPDz+7ZuSlJSkefPmufAIAAAAkFeXLl3SPffco5iYGOtvwcHBeu+997Rnzx4lJiZa18HX8+CDD1rby5cvd0q+AAAAAIBbFwXuAADkU/YuxpLoYgzgluDp6Skp88WeMmXKuDgbAHC+Q4cOKSwsTFLmHDhw4EC74g0aNEhFihSRlPnC5KFDh+zOEQAc4ZtvvrG2DcPQ8OHD9cUXX6hixYpXjC1evLheeOEFffvtt9Z4Sfruu+8KJlkAAADYZcaMGdq/f791HtejRw/t3r1bzzzzjGrWrCkvL688x+rataukzGcle/futRoDAQAAAADgCFTjAQCQT3QxBnArCgkJsbbj4+NdlwgAFJCs4nbDMBQSEqISJUrYFc/Pzy/HXJoVHwBcbcuWLZIyC5MqVqyoqVOnXnef+++/X7169bI6vm/fvl0ZGRnOThUAAAB2evfdd63i9iZNmmjhwoUqXry4TbEaNWqUo9N7VnMgAAAAAAAcgQJ3AADyiS7GAG5Fbdu2lZubm0zTVGRkpJKSklydEgA4VXR0tLXt6+vrkJjZ42SPDwCutGfPHkmZ17iPPPKIPDw88rTfgAEDrO0LFy7o8OHDTsgOAAAAjrJnzx4dOXLEWp120qRJ1vMOW3h7e+dY9SciIsLuHAEAAAAAyEKBOwAA+UQXYwC3otKlS+uBBx6QJKWmpuq7775zcUYAUDBM09SxY8ccEstRcQDAkc6ePWttN2nSJM/7NW3aNMdnro8BAAAKt+3bt1vbPj4+uuuuu+yOWbJkSWub80EAAAAAgCNR4A4AQD7RxRjAreqNN96wlix++eWXFRcX5+KMAMB5snehO3XqlMLDw+2K99dff+nkyZPW8u0VKlSwKx4AOEpCQoI1NwUGBuZ5v6xipqx9z58/7/jkAAAA4DCnT5+WlHn+FhISIjc3+0sFvLy8rO3k5GS74wEAAAAAkIUCdwAA8okuxgBuVdWrV9e8efPk5uamY8eOqWvXrnQjBnDTaty4saR/CzdfeOEFu+K9+OKLkmQtBZ+fLskA4EwZGRnWtru7e573u7wgKj093WE5AQAAwPEuXLhgbRctWtQhMRMSEqztEiVKOCQmAAAAAACS5OHqBAAAuBG98cYbWr58uS5cuKCXX35Z9957b7463QHAjeqhhx6Sl5eX+vXrp23btql+/foaNmyYevbsqYYNG1qFoABwo6tdu7bq16+vXbt2yTRNrVq1SsOGDdOMGTPyNdeZpqknn3xSK1eutParX7++ateu7azUAQAAAAC4QunSpa3t2NhYu+Olp6fr6NGj1udSpUrZHRMAAAD22bFjhzw8rl0SumPHjhyfN2zYYDXnyUt8ACgoFLgDAGCDrC7GvXv3troYf//996pUqZKrUwMAp6lSpYq1bZqmTNNUQkKC3njjDb3xxhvy9PRUQECAihUrlq+4hmEoIiLC0ekCgN0mTZqkBx54QIZhyDRNffrpp/rzzz81efJkde7c+ZqF7qZpavny5fq///s/7dixw4phGIYmTpxYgEcBAAAAAIBUvnx5SZnXq1FRUUpISJCfn5/N8bZu3aqkpCTrc40aNezOEQAAALYzTVOjR4/O9z4dOnTI1z5ZzzsAwNkocAcAwEZ0MQZwqzl8+HCOAs2seS7rBsalS5d08uTJfMdlvgRQWN13330aPHiwZs6cac1/27dv1z333KOyZcuqTZs2qlevngIDA+Xl5aXk5GTFxsZq165d2rhxo2JiYqw5MmuuGzhwoO677z5XHhYAAAAA4BbUqlUreXh4KD09XaZp6ttvv9WgQYNsjvfJJ59Y2/7+/mrSpIkj0gQAAICN8lN4nv35bH6L1Xm2C6CgGCav0wAAkG/ZuxjHx8crPj5e0r8n8nQxBnAzcnNzc/gNi6xi+fT0dIfGBQBHMU1TTzzxhFXknvU36do3cS8fY5qmBg0apE8//ZSbvwAKlezneG+99ZaaNm2a5307dOhg876S1K5du3yNBwAAgH06dOig9evXS8p8zvH333/Ly8srx5js54crV65UaGjoFXHCwsLUrl07655e7969NX/+fCdnDwAAgNw44xnu9fCMF0BBoMAdAAAbZF0gZJ20Z7H3f6tcAAAozCpXruy0myORkZFOiQsAjrJw4UINHz5cMTExV8yF2c8Bczs3LF26tKZNm6ZHH320YJIFgHy42vVtXlxt/ssLwzCUlpaWr30AAABgn59++kndunWzzt0eeOABLVq0SJ6entaY6xW4h4eH695779XJkydlmqbc3NwUHh6uevXqFdyBAAAAwOLMZ7jXwzNeAM5EgTsAADagizEAAMCtJzExUQsWLNCcOXO0detWZWRkXHWsm5ubmjZtqoEDB6pPnz7y8fEpwEwBIO+yX9/asxyxLfty/QsAAFDwOnbsqHXr1lnncg0bNtSbb76pO++8U9LVC9yjo6M1ffp0ffDBB0pOTpaUeU7Xt29fzZs3zwVHAgAAAAC4mVHgDgCADehiDAAAcGtLSkrStm3bFBkZqfj4eCUmJsrb21v+/v6qUqWKmjZtKm9vb1enCQDXxRLGAAAAt5bTp0+rRYsWioqKkvTvuVm5cuXUpEkT/fzzz5Iyi9c7duyoYsWK6eDBgzpw4ECO8aZpqkGDBvr9999VvHhxlx0PAAAAAODmRIE7AAAAAAAAANyiWMIYAADg1nPgwAF169ZNe/futYrVJeXYzvos6Yq/maapxo0ba8mSJapYsWLBJg8AAAAAuCVQ4A4AAAAAAAAAAAAAwC0kJSVFI0eO1OzZs5WWlpanlx5N05SHh4cGDRqkadOmqVixYgWQKQAAAADgVkSBOwAAAAAAAAAAAAAAt6Bjx45p+vTpWrZsmXbt2qWrlQ9Uq1ZNXbp00YgRIxQSElLAWQIAAAAAbjUUuAMAAABwqMTERJ0/f16+vr7y8fFxdToAAAAAAAAA8iA+Pl779u1TXFyc4uPj5eXlpVKlSikkJEQVK1Z0dXoAAAAAgFsIBe4AAAAAbHb+/Hl9+eWXWr9+vcLCwnT06FGlp6db37u7uysoKEh33HGH2rdvr969e1P0DuCGZpqmVqxYYc17R44c0dmzZ60Xe0qWLKng4GBr3uvUqZOrUwYAAAAAAAAAAACAGwoF7gAAAADyLTk5WWPHjtWsWbOUlJQkSVddvliSDMOQJPn4+Gjw4MGaMGGCihcvXiC5AoAjmKapDz74QO+++66ioqJy/P1yWXOeJFWuXFkjRozQU089lePvAAAAAAAAAAAAAIDcUeAOAAAAIF927Nihhx9+WBEREVZhZ16KNrOPrVatmhYtWqSGDRs6NVcAcISjR4/q0Ucf1ebNm3MUtF9r7rt8XOvWrbVgwQLddtttTs0VAAAAAICr+fzzz63tu+++W2XLlrU51smTJ7VixQrr82OPPWZXbgAAAAAAZEeBOwAADnL+/Hlt2bJF27dvV2xsrOLj43Xx4sV8xTAMQ7Nnz3ZShgBgv3379qlNmzaKi4uTlDlvZb+k8PX1VWBgoLy9vZWUlKS4uDidP3/e+j77+FKlSmnTpk2qXr16wR4EAOTDyZMn1bp1ax0+fFimaVpF7dnnPjc3NxUvXlwpKSnKyMiw/n752KpVq2rjxo12FRAAAAAAAGArNzc361p15cqVCg0NtTnW6tWr1alTJyteenq6Q3IEAAAAAECSPFydAAAAN7pt27bprbfe0vfff6+0tDSb42QVTFHgDqCwSk1N1QMPPKC4uLgcRZt33HGHBg4cqDvvvFMhISFX7BcZGak1a9bos88+0++//27tGxsbqwceeEA7d+6UhweXJgAKH9M01a1bN0VGRsowDOslndtuu039+vXTnXfeqYYNGyogIMDa58yZM9qxY4fWrFmjL774QkeOHLH2i4iIUPfu3fX777+78KgAAAAAALey7C9vF8Z4AAAAAABIkpurEwAA4EY2ceJEtWzZUosWLVJqaqrVndM0Tevf5bJ/d7UxAFAYffjhhzpw4IBVqOnr66uFCxdq8+bNevzxx3MtbpekkJAQDRo0SJs2bdKiRYtUokQJ67v9+/frww8/LKhDAIB8+eKLL7RlyxZr3vPw8NDrr7+uiIgITZw4UR07dsxR3C5JAQEB6tixoyZMmKCDBw9q6tSp8vT0tB72//nnn/riiy9ccTgAAAAAAFCMDgAAAAC4IRgmVXUAANhkypQpeumllyTJKnrKkv0GcW7/q73a94ZhsIwngEKrRo0aioiIkGma8vLy0vr169WkSZN8xwkPD1ebNm2UkpIi0zRVrVo17d+/3wkZA4B9GjZsqF27dsk0TXl6eurHH39U165d8x1n+fLluv/++5Weni7TNFW/fn3t2LHDCRkDAAAAAHB1bm5u1vOJlStXKjQ01OZYq1atUufOna249qxwCwAAAADA5ejgDgCADbZv366xY8fKMAyruL1v37769ddftXfv3hxF6wsWLNDevXu1efNmzZw5U71791aRIkWsMXXq1NGGDRsUGRmpQ4cOueqQAOCaDhw4oIMHD0rKfBln3LhxNhW3S1KjRo302muvWfNgRESEDhw44LBcAcARjh07pp07d0rKnPdGjx5tU3G7JN19990aPXq0Ne/t2rVLx44dc1iuAAAAAAAUtMTERGvb29vbhZkAAAAAAG5GFLgDAGCDKVOmyDRNq0hp3rx5+vzzz9W5c2fVqFEjx9iyZcuqRo0auuOOOzRo0CAtWLBAUVFReuihh2Sapvbs2aOePXsqOTlZwcHBrjgcALiu7du3S5LVxXjQoEF2xXv88cfl6elpfQ4PD7crHgA42h9//CEpc95zc3PTM888Y1e8//3vfzk65WXFBwAAAADgRvT3339b2yVLlnRhJgAAAACAmxEF7gAA5NOlS5f0008/Wd3bH3nkEfXr1y9fMcqUKaNFixbp//7v/2Sapk6cOKF77rlH58+fd1LWAGCfmJgYSZldjENCQuTv729XPH9/f1WpUsX6fOrUKbviAYCjZc1LhmGocuXKKleunF3xypUrp5CQEOsFSeY9AAAAAPh/9u47PIqy/f/+ZzYBQnpICKEHBOkdKZEapAsqqAhCUAFRb/3axXLbFQu3/WcBxUhRQVFEpEuTIiAtIEZBCRA66Q0ISeb5I8+OCQSSbDZZQt6v49iDa3evOeecfzbszGevQXkVExOjadOmWddJmjdv7uqWAAAAAABXGHdXNwAAQHmzZcsWnT17VlJu4OnBBx90uNYrr7yizZs3a+XKlTp06JBeeeUVvfHGG85qFQCcJu8th319fZ1S08fHxxqnp6c7pSYAOEtycrI1rlatmlNqVqtWTf/8848kKSUlxSk1AQAAAADI66677irSvClTpmj27NlFrmuapjIyMhQTE6OdO3cqOztbpmnKMAz17t3b0XYBAAAAACgQAXcAAIrp77//tsaenp7q1KnTJednZmZe8v0XX3xRK1eulGmamjZtml599VW5u/MnGsDlJSgoSFLuhawjR444pebRo0etcWBgoFNqAoCz2EPtpmlad7EoqVOnTlljbt8OAAAAACgNX3zxhQzDuOj79juLLV++3KH69u3t+/D29lZERIRDtQAAAAAAuBibqxsAAKC8SUhIkJR78rZBgwYFzrHZ/v0Ta1/t/WLCwsKsAFVKSoo2bdrkpE4BwHlq1apljY8dO6bff/+9RPX27NmTL+Cetz4AXA5CQkKs8aFDhxQTE1OiejExMTpw4IAVAMhbHwAAAACA8sIwDBmGIdM05eHhocjISNWoUcPVbQEAAAAArjAE3AEAKKa8gXUfH58C5/j4+FirmMTFxRVas169etY4Ojq6hB0CgPNde+21cnd3t4KZL7zwQonq5d3e3d1d3bp1K1E9AHC2sLAw66K9JL355pslqmff3n779rCwsBL3CAAAAABAQUzTLPBRlDmFPWw2m5o2baoHH3xQUVFRGjZsmIuOEgAAAABwJXN3dQMAAJQ3vr6+1jgjI6PAOX5+fkpOTpaUu+JnYdzc3KxxfHx8CTsEAOfz8/NT9+7dtXr1aknS/Pnz9dJLL+m5554rdq1XX31V3333nRUa7dGjR77PVgC4HFSvXl2dOnXSli1bZJqmpk2bps6dO+uOO+4odq1Zs2Zp2rRp1ufeNddco+rVqzu5YwAAAAAAdNE7kJmmqYYNG1rfTWfPnl2sH1/bbDZ5eXnJ19dX7u7EDAAAAAAApYtvngAAFFOtWrWscWJiYoFzGjdubAXbt2zZUmjN/fv3W2NODAO4XD3//PNavXq1dQviF198Udu3b9dbb72lq666qtDt9+/fr8cee0wLFiywahiG4VBIHgDKwqRJkzRs2DDrM2vcuHHauXOnXnrppSL9MCc1NVXPP/+83n//fUn/rt7+5JNPlnbrAAAAAIAKqn79+kWaV6NGjSLPBQAAAACgrBnm+fciAwAAl7R37141bdpUUu6KJWlpafLw8Mg357HHHtPbb78tSfL09FRsbKwCAgIKrPfzzz+rX79+kiTDMBQZGamIiIhSPAIAcFxERIRmz56dL6BuGIa6deum8PBwtW7dWkFBQfLy8lJ6erri4+MVFRWlVatWaf369datjO0rRY0ePVozZsxw8VEBwMX1799fK1asyPe55+XlpWHDhhX6uTd//nylpaXl+9zr27evli5d6uKjAgAAAABURKGhodb306+++kpdu3Z1cUcAAAAAABSMgDsAAMVkmqaCgoKUmJgowzC0ceNGde7cOd+c1atXq0+fPtaJ4nHjxmnatGkX1EpISFBYWJj27dtnBZ/++OMPNWnSpEyOBQCK69y5cxo0aJBWrlxpfcblDW5eSt55pmmqb9++WrRoEXeuAHBZS0lJUc+ePRUVFWWF3CUV+XPPPtc0TbVt21Zr166Vj49PqfYMAAAAAAAAAAAAAOWZzdUNAABQ3hiGoV69elnPlyxZcsGcXr16qUGDBpJyg03Tp0/XoEGDtHDhQu3du1e///67PvnkE7Vv31579+616rZp04ZwO4DLWqVKlbRo0SI9/PDDki4MrV/sISnf6sePPvqoFi5cSLgdwGXP19dXq1at0rBhw/LduUIq2ueefd7w4cO1cuVKwu0AAAAAAAAAAAAAUAhWcAcAwAGzZs3S2LFjZRiGmjZtqj179lwwZ8GCBbrpppvyBTrPZ3/dNE3ZbDYtWrRI/fv3L4tDAIAS27p1q95++219//33yszMLHR+5cqVdfPNN+vhhx9Whw4dyqBDAHCu7777Tm+//bZ+/fXXfK/n/X/e+adZwsLC9Oijj+qmm24qkx4BAAAAAAAAAAAAoLwj4A4AgAPS0tIUGhqqs2fPSpIWLVqkHj16XDDv6aef1uuvv55v9c687OF2SZo8ebKefPLJUu4cAJwvOTlZv/76qzZv3qyDBw8qMTFRaWlp8vb2VkBAgOrXr68uXbqoS5cu8vPzc3W7AFBi0dHRWrt2baGfez179lTTpk1d3S4AAAAAAAAAAAAAlCsE3AEAKGUzZszQk08+qRMnThT4fv369TVlyhTdfPPNZdwZAAAAAAAAAAAo7w4dOuTqFlSvXj1XtwAAAAAAuIIQcAcAoAycO3dOa9as0aZNm3TixAmZpqmQkBCFhYWpZ8+ecnd3d3WLAAAAAAAAAACgHLLZbNadZF3BMAxlZWW5bP8AAAAAgCsPAXcAAAAAAAAAAAAAAMope8DdVZf+DcNQdna2S/YNAAAAALgy2VzdAAAAAAAAAAAAAAAAAAAAAAAAkuTu6gYAAAAAAADKm3379mnTpk06dOiQEhMTlZqaKh8fHwUEBKh+/frq0qWLGjVq5Oo2AQAAAAAVwNixY13dAgAAAAAATmWYrrpPGQAAAIDLwqFDhy54rV69ekWa5ywF7Q8ALjfHjx/Xxx9/rE8//VQnTpwodH7NmjU1YcIETZw4USEhIWXQIQAAAAAAAAAAAACUfwTcAQAAgArOZrPJMAzruWEYysrKKnSes1xsfwBwOZk2bZoeffRRZWRk6PxTKXk/Gwt6z8vLS2+99ZYmTJhQJr0CAAAAAAAAAAAAQHlGwB0AAACo4OzBdftXA8MwlJ2dXeg8Z7nY/gDgcjFhwgR9/vnn+T4npQvD7HmdP8cwDI0bN07Tpk0r5W4BAAAAAAAAAAAAoHxzd3UDAABcjsLDw12yX8MwtHLlSpfsGwAAABf673//q+nTp0uS9SMf0zRVp04d9e7dW23atFFQUJC8vLyUnp6uuLg4RUVFac2aNYqNjc0XdJ8+fbpq1Kihl19+2ZWHBAAAAAAAAAAAAACXNVZwBwCgAPZVisuSaZqsYgzAJe68884LXouMjCzSPGcpaH8A4Gp79uxR27ZtlZOTIyn3/2utWrXSlClT1Ldv30L/v7h8+XI98cQT2rVrlxWOd3d3144dO9SiRYuyOAQAAAAAAAAAAAAAKHcIuAMAUAB7wN3+Z7Iswu4E3AEAAC4vw4YN0w8//GD9X3DMmDGaPn263NzcilwjJydH48aN04wZM6w6N910k+bNm1cqPQMAAAAA4KgjR44oISFBycnJysnJUZs2beTn5+fqtgAAAAAAFRABdwAACnD+Cu5l9eeSgDsAAMDl4cyZM6pWrZrOnj0rSerWrZvWrl3rcL2ePXtq3bp1kqSqVasqPj5eHh4eTukVAAAAAABHZGZmavbs2fruu++0ceNGpaSk5Ht/xYoVCg8Pv2C7RYsWKT4+XpIUHBysAQMGlEm/AAAAAICKw93VDQAAcDkzTVNubm4KDw9XRESEWrZs6eqWAAAAUAbWr1+vM2fOSMr9EeKbb75ZonpvvPGGwsLCJOWG59evX6/rrruuxH0CAAAAAOCIefPm6YEHHtDJkyclXbjQz6XubLtz504999xzkqQqVaro2LFjrPQOAAAAAHAqAu4AAFyCYRjKycnRzz//rJ9//lnt2rXTHXfcoZEjRyowMNDV7QEAAKCUxMbGWuPq1aurc+fOJarXpUsXBQcHW8GBvPUBAAAAAChLDz/8sN5//30r1J43zG4YRqF3tb3vvvs0efJknT59WmfPntXcuXN19913l2rPAAAAAICKxebqBgAAuBw999xzCg0NlWma1olc0zS1Y8cOPfjgg6pVq5ZuvPFGzZ8/X+fOnXNxtwBQNl566SXrceDAgRLViomJyVcPAC439iC6YRiqW7euU2rmrXPq1Cmn1AQAAAAAoDhefvllvffeezJN0wq2V69eXSNGjNDjjz9eaLhdkgICAjRgwADr+U8//VRq/QIAAAAAKibDLMo3VAAAKqh169bpiy++0Lx585Samirp39VL7Cd+AwICNHLkSI0ZM0adOnVyZbsAUKpsNpv12bdixQqFh4c7XGvlypXq27evVS87O9spPQKAs7z33nt6+OGHZRiGmjZtqj179pS4ZsuWLfXHH3/IMAy9/fbbevDBB53QKQAAAAAARbN79261a9fOCrF7eHjof//7nyZMmCB399ybvxf1HODs2bMVEREhSfLx8VFCQoLc3NzK4CgAAAAAABUBK7gDAHAJ3bt31/Tp03X8+HHNmjUrXxjTvrp7QkKCPvroI3Xt2lXNmjXTG2+8ocOHD7u4cwAoHc7+fSy/twVwuQoODpaU+zl14MABZWRklKheRkaGYmJiLqgPAAAAAEBZefbZZ5WTkyPTNFWpUiUtXbpU9957rxVuL46wsDBrnJaWpn379jmzVQAAAABABUfAHQCAIqhatapuv/12LVu2TIcOHdLkyZPVtGnTfHNM09Rff/2lp59+WqGhoerbt69mz55d4jAUAFxO7D/yAYArXfPmzSXlfu6dOXNGc+fOLVG9uXPn6vTp09bzFi1alKgeAAAAAADFkZ6erqVLl8owDBmGoccee0zdu3d3uF7Dhg3l4+NjPY+OjnZGmwAAAAAASCLgDgBAsdWqVUtPPvmk/vjjD23evFn33nuvAgIC8s3JycnRqlWrNHbsWIWEhOiuu+7S6tWrXdQxAFx+cnJyrLHNxtcSAJefNm3aqFatWpJyf8g4adIkh+/Sc+TIEU2aNMn6kVCtWrXUunVrp/UKAAAAAEBh1q1bp8zMTOuOivfff3+Ja4aEhFjj48ePl7geAAAAAAB2JEkAACiBa665Rh9++KGOHTumefPmaciQIXJzc5Mk6yRxWlqaZsyYoeuuu06hoaF69tlnuVUngAovOTnZGnt5ebmwEwC4uDvuuEOmacowDMXFxalbt27atm1bsWrs2LFD3bt3V1xcnFXrjjvuKJ2GAQAAAAC4CPuPtg3DUGhoaL5wuqP8/f2tcUpKSonrAQAAAABgR8AdAAAnqFSpkoYNG6YFCxboyJEjevvtt9W2bVsr5G6apkzT1KFDhzR58mQ1a9ZMp0+fdnHXAOA6eQOiQUFBLuwEAC7uySefVPXq1SXlBgAOHTqkLl26aOzYsVqzZo2ysrIK3C4rK0tr1qzRHXfcoU6dOunAgQPW6u3BwcF68skny+wYAAAAAACQpLi4OGscHBzslJp5vxdzl0YAAAAAgDO5u7oBAACuNNWrV9dDDz2khx56SLt27dLMmTP15Zdf6uTJk5KUL/QOABXRL7/8oqlTp1phz5YtW7q4IwAomLe3t7755hsNHDhQZ8+elWEYys7O1uzZszV79mxVqlRJTZs2VVBQkLy8vJSenq74+Hj9+eefyszMlCRr1XbTNOXh4aFvvvmGO1cAAAAAAMpc3u+i6enpTqmZNzQfGBjolJoAAAAAAEgE3AEAKFWtW7fWgAEDdPToUc2ZM8cKcwLA5So8PLxI8x599FEFBAQUua5pmsrIyNCBAwesC1/20Gf//v0d6hUAykLPnj317bffasyYMUpKSrL+P2eapjIzM7Vr1658/8fL+yNGwzCscLu/v79mz56t7t27l/kxAAAAAABgX7XdNE3FxsaWuN7JkycVGxtrfScOCQkpcU0AAAAAAOwIuAMAUAr+/PNPzZgxQ19++aWOHDkiSYTbAZQLa9asueTnlT24uWvXrmLXPj/0KeVeWBs1alSxawFAWRo8eLB27dqle++9V4sXL7Y+zwr6vMwbgLf/kGfIkCH66KOPVLt27TLtGwAAAAAAu2bNmlnjlJQUbd++Xe3bt3e43o8//igp9/uvzWZT586dS9wjAAAAAAB2BNwBAHCS+Ph4ff3115o5c6a2bdsmKX+Y065Lly4aO3asPD09y7pFAHCp80OfQUFB+uabb+Tn5+fizgCgcHXq1NHChQu1d+9eTZ8+XWvXrtXOnTuVmZl5wdzKlSurXbt26tmzp8aNG6fGjRu7oGMAAAAAAP7VunVr1axZU8ePH5ck/b//9//0+eefO1Tr3Llz+t///med72vVqpUCAwOd1isAAAAAAATcAQAogaysLC1cuFAzZ87UkiVLdO7cOUmyVuu0q1+/vkaPHq2IiAgCTgAuewX9OMeROXkZhiEvLy9Vq1ZNLVq0UL9+/RQREaGAgABH2wQAl7j66qv1xhtvSJIyMzN1/PhxJSYmKi0tTd7e3goICFDNmjVVqVIlF3cKAAAAAEB+I0aM0LvvvitJmjlzpm677Tb169ev2HUeeOAB7d27V1Lueb/x48c7s00AAAAAAGSYxU2mAAAAbdmyRTNmzNDcuXOVmJgo6d9Qu/1Pq7e3t4YPH66xY8eqV69eLuwWAJzDZrNZP95ZsWKFwsPDXdwRAAAAAAAAgKKKi4vTVVddpbS0NJmmKU9PT0VGRuqWW26x5lzqHGBiYqL+85//aO7cuZJyr4vUqlVL+/fvV+XKlcv2YAAAAAAAVzRWcAcAoIhiY2M1a9YszZo1y1qZ5PzfiRmGoT59+igiIkLDhg2Tp6enK1oFgFJz/h0qAAAAAAAAAJQPQUFBevvttzVhwgQZhqGMjAzddttteu+99xQREaEOHTpI+vcc4OHDh7V161b9/fffWrVqlebMmaP09HTr2oibm5siIyMJtwMAAAAAnI4V3AEAuIT09HTNmzdPM2fO1Nq1a2WapnXiNu9q7U2bNlVERITGjBmj2rVru7JlACg1vXr1ssLtb7/9ttq1a+fijgCgZB555BFrfN9996lRo0Yu7AYAAAAAgLLx7LPP6tVXX7Wuc+Rd0CJvfOD8hS7yzjVNU2+//bYeeuihMukZAAAAAFCxEHAHAKAAK1as0MyZM/XDDz8oIyND0r8nbu1/OqtVq6bbbrtNY8eO1TXXXOPKdgEAAOCAS912vSDJycmKioqynvfo0aNU+wMAAAAAoLRERkbqgQceUEZGRr5rH4WF3U3TlKenp6ZPn64RI0aUbdMAAAAAgAqDgDsAAAWwh53O/zNZqVIlDRo0SBEREbr++utVqVIlF3UIAACAkrLZbJJyL9IXJeC+cuVK9evXz9omKyur1HsEAAAAAKC0xMTE6I033tCsWbN0+vTpfO/lDbTbubu7a8yYMfrvf/+rBg0alGmvAAAAAICKxd3VDQAAcLkzDEMdOnRQRESERo0apWrVqrm6JQAAADjJ+bdbLwzrBAAAAAAArhQNGjTQJ598otdee01r1qzRunXrFB0drfj4eCUlJcnT01NBQUFq0KCBevfureuuu07BwcGubhsAAAAAUAGwgjsAAAXIu4K7m5ubfHx8ymS/hmEoPj6+TPYFAABQ0dn/zyepyCu49+3bV1Lu/9uys7NLvUcAAAAAAAAAAAAAqGhYwR0AgELk5OQoOTm5TFbrLO4KogBwOTh79qx+//13xcXFKSkpSWfPni12jYiIiFLoDAAAAAAAAAAAAAAAAOUNAXcAAC4hb+C8tMPn3FQFQHmSkZGhWbNmKTIyUjt27FBWVlaJ6hFwBwAAAAAAAAAAAAAAgETAHQCAiyJwDgAFW7t2rUaPHq2jR49Kcvzz0jAMmabJ3SsAAAAAAAAAAAAAAABgIeAOAEABcnJyXN0CAFyWli5dqiFDhignJ+eCcHre8fmh9/ND7KZp8kMiAAAAAAAAAAAAAAAAXICAOwAAAIAiOXbsmEaOHKns7GwrsN6wYUPdcsstatCggSZOnGi9/vjjj+uqq65SQkKC9uzZo7Vr1+rw4cPW+82bN9cjjzwiNzc3lx0PAAAAAAAAAOnPP/9UbGyskpOTdfr0aYcWpoiIiCiFzgAAAAAAFRUBdwAAAABF8tZbbyk5OdkKqY8fP14ffvihKlWqJEmaOHGiNbd///4KDw+3npumqQULFuixxx7T/v37FR0drdmzZ+uHH36Qr69v2R4IAAAAAAAAUMEtW7ZM06ZN0/Lly5WRkVHiegTcAQAAAADOZHN1AwAAAAAuf6ZpKjIy0gq3d+rUSdOmTbPC7YUxDEM33nijoqKidN1118k0Ta1du1bDhw8vzbYBAAAAAAAA5JGUlKQbb7xRgwYN0g8//KD09HSZpunQQ5JDq70DAAAAAFAYAu4AAAAACvX7778rMTHRumD19NNPO1THy8tLCxYsUKNGjWSaplatWqVPPvnEma0CAAAAAAAAKEBGRob69++vhQsXWuf57AtaOIJwOwAAAACgtLi7ugEAAAAAl7/du3dbY3d3d/Xv3/+S87Ozsy/6XtWqVTV58mTdeuutMk1TU6ZM0T333OO0XgHAEVFRUXJ3v/RpkqioqHzP161b5/DF/B49eji0HQAAAAAAjnrttdf022+/yTAMGYYh0zTl4eGhfv36qW3btgoODpaXl5er2wQAAAAAgIA7AAAAgMLFx8dLyl3RqUGDBqpcufIFc/Ku9nT69OlL1hsyZIg8PT2VkZGhAwcOaPfu3WrVqpVzmwaAIjJNU4899lixt+nVq5dD+zMMQ1lZWQ5tCwAAAACAIzIzM/Xuu+9awXZJmjBhgt544w35+/u7tjkAAAAAAM5jc3UDAAAAAC5/qamp1jggIKDAOV5eXtbFsZSUlEvWq1KlikJDQ63nO3fuLHGPAOAo+8X9ojzsq9wVZ5uCHgAAAAAAlKX169crPT1dUu734DvvvFNTp04l3A4AAAAAuCyxgjsAAACAQuW9NfG5c+cKnOPj46O0tDRJUmxsbKE1vb29rfHx48dL2CEAlEzeu1CU5jaE2wEAAAAArvD3339Lyv1earPZ9Oqrr7q4IwAAAAAALo6AOwAAAIBCVa9e3RpfbHX2evXq6dixY5KkqKioQmva50pSdnZ2CTsEgOKrV6+eQyF1AAAAAADKm/j4eEm5P9Zu1KiRQkJCXNwRAAAAAAAXR8AdAAAAQKGaNWsmKXeFp9jYWOXk5Mhms+Wb06ZNG23evFmmaWrNmjXKysqSu3vBXzmio6MVGxtrBUsDAwNL9wAAoAAHDhxwdQsAAAAAAJSJqlWrWuOAgAAXdgIAAAAAQOFshU8BAAAAUNE1b95cVapUkSRlZmbqr7/+umBO7969rfGpU6f08ccfF1jLNE09/vjj1liSWrdu7eyWAQAAAAAAAPz/GjVqZI3tq7kDAAAAAHC5IuAOAAAAoFBVqlRR165drecrVqy4YM7QoUPl4+MjwzCsEPubb76p5ORka86ff/6pG264QYsXL7ZWbw8JCdE111xT+gcBAAAAAAAAVFA9evRQ5cqVZZqmYmJilJiY6OqWAAAAAAC4KALuAAAAAIpk8ODB1njBggUXvF+1alU9/fTTMk1ThmEoMzNTTz31lIKCglSrVi0FBQWpRYsWWrRokSRZ8yZNmiSbja8mAAAAAAAAQGnx9fXVqFGjJEk5OTmaNWuWizsCAAAAAODiDNM0TVc3AQAAAODyd+TIEdWrV88Kpv/+++9q1qxZvjlZWVnq37+/Vq9eba3kfj77yu2maWrIkCEFhuUBAAAAAAAAONfx48fVsmVLJSYmqlq1avrtt98UGhrq6rYAAAAAALgAyyQCAAAAKJLatWtr586d+u2337RlyxYFBQVdMMfd3V2LFi3S2LFj871uGEa+YLthGLrvvvs0b968MukdAAAAAAAAqOhCQkI0f/58Va1aVfHx8erTp4927Njh6rYAAAAAALgAK7gDAAAAKBVRUVH65ptvtGnTJp04cUKmaSokJERhYWEaPXq0mjRp4uoWAQAAAAAAgApn+/btuvXWW7V//365u7vr5ptv1q233qqOHTsqODhYlStXdnWLAAAAAIAKjoA7AAAFePHFFzV06FC1a9fO1a0AAAAAAAAAAABclJubm8Pb2u+2WBKGYSgrK6tENQAAAAAAyIuAOwAABbDZbDIMQ7Vr19b111+vIUOGqE+fPqxaAgAAAAAAAAAALis2m63Y2+QNtZc0MmAYhrKzs0tUAwAAAACAvAi4AwBQAHvAPe/KJZ6enurbt6+GDBmi66+/XtWrV3dxlwAAAAAAAAAAoKLLe02jLOW9jkLAHQAAAADgTATcAQAogJ+fn1JTUy943R52NwxDnTp10pAhQzR06FC1aNGirFsEgDJ31113WeMnnnhCTZs2dbhWdHS0pkyZIin3M3X69Okl7g8AAAAAAACoiHr16pVvRXZXWL16tUv3DwAAAAC4shBwBwCgAFlZWVq7dq0WLlyohQsXKiYmxnrv/JXdJal+/fpW2L1nz55yd3d3RdsAUKrsK0FJ0ooVKxQeHu5wrZUrV6pv375WPVZ4AgAAAAAAAAAAAAAAgETAHQCAItmzZ48Vdt+8ebNycnIkKd8tP+0hTR8fH/Xv319Dhw7VoEGDFBAQ4LK+AcCZbDabpNzPO2cF3O31CLgDAAAAAAAAAAAAAABAIuAOAECxnTp1SosWLdLChQu1YsUKpaWlXTDHHnZ3c3NTWFiYhgwZoiFDhujqq68u63YBwGlKYwV3iYA7AAAAAAAAAAAAAAAA/kXAHQCAEsjMzNSqVau0cOFC/fTTT4qNjbXes6/ubg+DSlLjxo2tsHu3bt2s1ZABoDxwZsB9+fLlGjBggCTJ3d1dmZmZTukRAAAAAAAAAAAAAAAA5RsBdwAAnCgqKko//vijFi5cqG3btsn+Z9YedrePJSkgIEADBw7U0KFDNWDAAPn4+LisbwAoCmcG3OfMmaNRo0ZJkvz9/ZWQkOCUHgEAAAAAAAAAAAAAAFC+sWwsAABO1KZNGz377LPasmWLjhw5omnTpun666+Xh4eHNcc0TZmmqYSEBH311Ve67bbbVL16dfXt21cffPCBDhw44LoDAIAysnHjRkm5P/qpUaOGi7sBAAAAAAAAUJDU1FSdOHFCWVlZrm4FAAAAAFCBsII7AABl4MyZM/r555+1cOFC/fTTTzp27Jj1nn11d/uqyJLUvHlzDR06VEOGDFGXLl1c0TIAXMAZK7inp6fru+++0z333KOzZ89Kkm6++WbNnTvXqb0CAAAAAAAAKD7TNDVnzhzNnj1b69evV1pamvVeSEiI+vfvr4iICPXq1ct1TQIAAAAArngE3AEAcIGtW7dq4cKFWrhwoXbu3Gm9fn7Y3TAMVkUBUKYaNmx40fcOHDhgfT7VqFEj390pCmOapjIyMhQfH2/dyULK/ZyLjIxUREREyRoHAAAAAAAAKjjTNPXTTz9Z597c3Nw0ePDgIm8fExOj4cOHKyoqyqp3Pvv5weHDh+vzzz+Xt7e3EzoHAAAAACA/Au4AALjY4cOHrbD76tWrrRWNpdwTxdnZ2S7sDkBFY1+lvbS/Jtj30ahRI+3atatYYXkAAAAAAAAAF9qyZYu6dOlihdBvuOEGff/990Xa9tChQ+rcubNOnjyZb3GK8+V9r0uXLlq+fLm8vLycdAQAAAAAAOSyuboBAAAqujp16ujee+/V4sWLFR8fr++++0533HGHqlev7urWAFRghmFc8Cjs/aI87EzTVJMmTfTDDz8QbgcAAAAAAACcYMmSJZL+DaE//PDDRdrONE0NHz5cJ06ckPTvuT/7nRjzPvK+t2nTJk2aNKl0DgYAAAAAUKGxgjsAAJcp0zS1efNmdenSxdWtAKhAQkNDC1yZSZIOHjxovRccHFysYLrNZpOXl5eqVaumFi1aqF+/frr++uvl5ubmlL4BAAAAAACAii48PFxr1qyRJDVq1Eh79+4t0naRkZEaN25cvvOCNptNY8eO1a233qrQ0FClp6frt99+0wcffKA9e/ZYIXc3Nzft3LlTLVq0KI1DAgAAAABUUATcAQAAABSJzWazLnKtWLFC4eHhLu4IAAAAAAAAgJS7aI6/v7/S0tIkSZMmTdLkyZOLtG2rVq3yhdbd3d01f/58DR48+IK5586d0+2336558+ZJyl3t/aGHHtJbb73lvIMBAAAAAFR4Nlc3AAAAAKD84PexAAAAAAAAwOVn//79Sk1Ntc7fDRw4sEjbbdu2LV+43TAMPfLIIwWG2yWpUqVKmjVrlnUnSNM0NXfuXKcdBwAAAAAAkuTu6gYAAAAAlA9jx461xrVq1XJhJwAAAAAAAADy+ueff6yxzWZThw4dirTdkiVL8j2vXLmyJk2adMltqlSposcee0z333+/JOnYsWM6evQo5wwBAAAAAE5DwB0AAABAkURGRrq6BQAAAAAAAAAFOHTokDWuXbu2PD09i7TdmjVrrLFhGOrfv78CAgIK3e6mm27S/fffL8MwJElRUVEE3AEAAAAATmNzdQMAAAAAAAAAAAAAAMBxKSkpknJD6tWqVSvSNqZpasuWLTIMQ6ZpSpKuu+66Im1bs2ZNBQcHW9sdPXrUga4BAAAAACgYAXcAAAAAAAAAAAAAAMqx06dPW+MqVaoUaZvo6GilpaXle+3aa68t8j5r1qxpjVNTU4u8HQAAAAAAhSHgDgAAAAAAAAAAAABAOebl5WWNk5OTi7TNli1b8j2vXLmyWrVqVeR9enh4WOOMjIwibwcAAAAAQGHcXd0AAAAAANeaOXPmBa9FREQUaZ6zFLQ/AAAAAAAAAEUTEBAgSTJNUzExMcrJyZHNdun17n799dd8z1u3bi1396JHCJKSkqxx1apVi94sAAAAAACFIOAOAAAAVHB33HGHDMPI91pBgfOC5jkLAXcAAAAAAADAcY0bN7bGmZmZ2rRpk8LCwi65zfLly2UYhkzTlGEY6t69e7H2GRcXZ439/PyK1zAAAAAAAJdw6Z9sAwAAAKhQTNMs0hxnPIq6PwAAAAAAAACX1r59e7m7u1sLVEybNu2S8zdu3KiDBw/me613795F3t/x48cVHx9vPa9Xr14xugUAAAAA4NIIuAMAAADIFzovbJ4z9wkAAAAAAACg5Dw8PHTddddZ5/lmz56tZcuWXXT+s88+m++5n5+f+vXrV+T9rV+/Pt/zq6++ungNAwAAAABwCe6ubgAAAACAa0VGRjp1HgAAAAAAAICyN3HiRC1dulSGYSgnJ0fDhg3TCy+8oPHjxysgIECStH//fk2aNEmrV6+WYRgyTVOGYej2229XpUqViryv5cuXW+OAgABWcAcAAAAAOJVhsmwiAAAAAAAAAAAAAADlXp8+fS4Ir9tsNgUFBSk7O1vx8fGSZL1nmqaqVq2qffv2qVatWkXax5kzZxQSEqLU1FRJ0pAhQ/TDDz+U1iEBAAAAACogm6sbAAAAAAAAAAAAAAAAJRcZGWkF1e0B9uzsbJ04cUJxcXEyTdMKt9vnvPHGG0UOt0vSd999p5SUFNnX0uvdu7fzDwQAAAAAUKGxgjsAAAAAAAAAAAAAAFeI/fv3a8iQIYqOjraC7OezxwSee+45vfDCC0WubZqmWrVqpejoaCso/88//yg0NNQJnQMAAAAAkIsV3AEAAAAAAAAAAAAAuEI0bNhQUVFReu+999S+fXtr1Xb7o0qVKho8eLDWrVtXrHC7JM2ZM0d//PGHFZBv06YN4XYAAAAAgNOxgjsAAE6we/duLVmyRNu3b1dsbKySk5N1+vRpFffPrH2lEwAAAAAAAAAAAGdITEzUkSNHlJqaKn9/fzVs2FBVqlRxqFZ8fLzS0tKs597e3goMDHRWqwAAAAAASCLgDgBAiWzbtk3333+/tmzZku91R/+8Goah7OxsZ7QGAAAAAAAAAAAAAAAAAEC54+7qBgAAKK9mzJihCRMmKDs72wq0G4aR79/i4DdnAMqrjIwMHTlyxOG7V0hSjx49SqEzAAAAAAAAAAAAAAAAlDes4A4AgAM2bNigXr16KTs72wqz2/+kuru7y9/fX15eXg7VjomJcVqfAFBaoqOj9dlnn2nJkiXat2+fcnJyHK5lGIaysrKc2B0AAAAAAAAAAAAAAADKKwLuAAA4oGvXrtq8ebMMw5BpmvL09NQDDzygESNGqGXLlnJ35yYpAK5MmZmZeuKJJ/Thhx8qJyfHKXefMAxD2dnZTugOAAAAAAAAAAAAAAAA5R0BdwAAiungwYNq0KCBFW6vXbu2Vq1apcaNG7u6NQAoVVlZWRo2bJgWLVpkBdvPv4uFIwi4AwAAAAAAAAAAAAAAwI7lZQEAKKaNGzdKyg1zGoahDz/8kHA7gArhgw8+0E8//STDMKwf+ZimqdatW6tt27YKDg6Wl5eXq9sEAAAAAAAAAAAAAABAOUbAHQCAYjp+/Lg19vf315AhQ1zYDQCUjZycHE2ePNkKtkvSgAED9M4776hJkyYu7g4AAAAAAAAAAAAAAABXCgLuAAAU09mzZyVJhmGoYcOGMgzDxR0BQOnbtGmT4uPjrdXbBw8erB9++EE2m83VrQEAAAAAAAAAAAAAAOAKQhoFAIBiCg4OtsZZWVku7AQAys4ff/whSdbq7e+88w7hdgAAAAAAAAAAAAAAADgdiRQAAIqpY8eOknJDnrGxsS7uBgDKRlxcnDUODQ3VVVdd5cJuAAAAAAAAAAAAAAAAcKUi4A4AQDG1bt1aTZo0kSQlJibqt99+c3FHAFD6KlWqJEkyDCPfnSwAAAAAAAAAAAAAAAAAZyLgDgCAA5577jlr/OKLL7qwEwAoGw0aNLDGSUlJrmsEAAAAAAAAAAAAAAAAVzQC7gAAOGDkyJEaNWqUTNPUkiVLCLkDuOJ1795dNptNpmkqJiZG6enprm4JAAAAAAAAAAAAAAAAVyAC7gAAOCgyMlK33XabTNPUSy+9pOHDh+vPP/90dVsAUCqqV6+uoUOHSpLOnTun7777zsUdAQAAAAAAAAAAAAAA4EpkmKZpuroJAADKm5deeskaz5w5U/v375dhGJKkVq1aqWPHjgoODpaHh0exaz/33HNO6xMAnGnfvn1q27atzpw5ozp16mj79u0KDAx0dVsAAAAAAAAAAAAAAAC4ghBwBwDAATabzQq02+X9k3r+e8WRnZ3t8LYAUNrmzZunkSNHKicnRx06dND333+vOnXquLotAAAAAAAAAAAAAAAAXCFsrm4AAIArhWEY1sMR/OYMQHlw8803a8GCBfL399e2bdvUqlUrPf3009q5cyefYwAAAAAAAMBlbNmyZa5uAQAAAACAImEFdwAAHGCzlc5vxAzDYAV3AJethg0bWuOkpCQlJSVJ+veuFZUqVVK1atXk4eFRrLqGYeiff/5xWp8AAAAAAAAALmSz2RQaGqpx48bpzjvvVK1atVzdEgAAAAAABSLgDgCAA9auXVtqtXv27FlqtQGgJGw2mwzDkGma+e5WUdKvFPy4BwAAAAAAACh99vN7kuTm5qaBAwdqwoQJGjRoUKkt7AMAAAAAgCMIuAMAAAAokrwXwJzFHpYn4A4AAAAAAACUrrwLWEj/3pmxZs2auuuuu3TXXXcpNDTUhR0CAAAAAJCLgDsAAACAIgkNDXV6wN0uJiamVOoCAAAAAAAAyDVs2DD99NNPysrKss7z5Q27G4ahPn366O6779YNN9wgd3d3V7YLAAAAAKjACLgDAAAAAAAAAAAAAFABnDhxQpGRkfr888/1999/S1K+sLt9HBQUpDvuuEPjx49X48aNXdYvAAAAAKBiIuAOAAAAAAAAAAAAAEAFs2bNGk2bNk3z58/X2bNnC1zVXZJ69Oihu+++W8OHD1flypVd1i8AAAAAoOIg4A4AAAAAAAAAAAAAQAWVmJiomTNn6rPPPtOePXskFbyqe0BAgMaMGaPx48erRYsWLusXAAAAAHDlI+AOAIATpaamatOmTdq0aZMOHTqkxMREpaamysfHRwEBAapfv766dOmizp07y8fHx9XtAgAAAAAAAAAAWDZt2qRPP/1U33zzjdLT0y+6qnvnzp119913a8SIEapatarL+gUAAAAAXJkIuAMA4AQ7d+7UO++8o2+++UaZmZmFzq9SpYpGjBihhx56SG3atCmDDgEAAAAAAAAAAIomLS1NX375paZPn66tW7dKKnhVdx8fH40aNUrjx49X+/btXdYvAAAAAODKQsAdAIASyMrK0nPPPacpU6YoJydHef+s2k/u5nX++zabTU888YRefPFFubu7l0nPAAAAAAAAAAAARRUVFaVp06bp66+/VlJSkgzDKPB6SNu2bXXPPffo9ttvl6enp6vaBQAAAABcAQi4AwDgoKysLN1www1aunRpvltzFuVP6/mrnAwcOFALFiyQm5tbqfYMAAAAAAAAAADgiDNnzujZZ5/VW2+9dcEiP3mvk/j6+mrixIl6/PHHFRgY6IpWAQAAAADlHAF3AAAcNG7cOEVGRkrKH2wPCwtTnz591KZNGwUFBcnLy0vp6emKi4tTVFSUVq1apQ0bNuTbzjAM3Xnnnfrss89cdjwA4IjU1FT99ttv2rFjh+Li4pSUlKSzZ88Wq4ZhGJo+fXopdQgAAAAAAACgJE6fPq05c+bo008/1ebNmy94v6BFgAzDkLe3t9544w3dc889ZdovAAAAAKD8I+AOAIADNmzYoO7du+dbiX3gwIF6++231aRJk0K3/+uvv/Too49q8eLF+ULu69evV9euXUu7fQAosW3btul///ufvv/+e2VlZTlcx/75l52d7cTuAAAAAAAAAJTU9u3b9emnn+rrr79WampqgUF2f39/jRgxQn/88YfWrVt3wfuGYei+++7TBx984JqDAAAAAACUSwTcAQBwQN++fbVy5UpJuSdnn3nmGb300kvFrvP888/r5Zdftk729u3bV8uWLXN2uwDgVK+88opeeuklZWdnF3hRy/48r4K+duT9gQ8BdwAAAAAAAMD1UlNT9eWXX+rTTz/Vzp07JRW8QnunTp10zz33aMSIEapataokae/evZo6dao+++wzpaam5jv/t2jRIg0YMMAlxwQAAAAAKH8IuAMAUEwpKSkKCgqywpg33nijvvvuO4frDR8+XPPnz5ckVapUSXFxcfLx8XFKrwDgbK+99pqeeeYZSZcOtV8s0F7Q+wTcAQAAAAAAANfauHGjPv30U3377bc6ffp0vlC7lHs+z9vbW7fffrvuuecetWnT5qK1EhMT9fDDD2vmzJnW9tdff70WLFhQ+gcCAAAAALgiEHAHAKCYFi9erOuvv15S7ondqKgotWzZ0uF6v//+u1q3bm3V++mnnzRw4ECn9AoAzrRjxw517NjRem6apkaPHq3Ro0crNDRUTZs2tS5YzZ49Wx06dFBCQoL27NmjVatW6fvvv9fZs2dlGIaaNWumqVOnqk6dOpKk+vXru+SYAAAAAAAAgIoqISFBM2fO1Geffabo6GhJBa/W3rZtW91zzz0aNWqUvL29i1w/PDxca9askSTVqFFDx44dc+4BAAAAAACuWO6ubgAAgPLm6NGj1rhWrVolCrdLUsuWLVW7dm0dOXJEkqx/AeBy89prr+W7wDVjxgyNGTOmwLk1atTQ1VdfLUnq0qWLxo0bp5MnT+r+++/XvHnzFB0drVtvvVU///yzmjVrVmbHAAAAAAAAAFR0q1ev1qeffqr58+crMzMz3zk/e7C9atWqGjFihO655x5dc801Du1n9OjRVsA9Pj7eWe0DAAAAACoAm6sbAACgvImLi5OUe6K3Vq1aTqlZs2ZNa8xJXgCXo8zMTC1cuNC6yHXbbbddNNx+McHBwfrmm2/09NNPyzRNHTt2TIMGDVJqamopdQ0AAAAAAADA7vXXX1fjxo113XXXae7cuTp79qxM07Tuymiappo3b673339fR48e1fTp0x0Ot0tS3bp1rXF2dnaJ+wcAAAAAVBwE3AEAKCYvLy9rnJyc7JSaKSkp1tjT09MpNQHAmbZs2WJd8JKkBx980OFar7zyivr06SNJOnTokF555RWn9AgAAAAAAADg4p5++mnt378/34rtklS5cmXdfvvtWrdunXbv3q37779fvr6+Jd6fzUYcAQAAAADgGHdXNwAAQHkTHBwsKXclkwMHDigpKUn+/v4O10tKSlJMTIx1ItleHwAuJ3///bc19vT0VKdOnS45PzMz85Lvv/jii1q5cqVM09S0adP06quvyt2drycAAAAAAABAWTBNU1dffbXuvvtu3XHHHapWrZrT91GrVi2NHTvW6XUBAAAAAFc+EiQAABRTu3btJOWubHLu3Dl9/vnneuSRRxyu9/nnn+vcuXNWTXt9ALicJCQkSMr9nGrQoEGBc2w2m7X609mzZy9ZLywsTNWqVVNCQoJSUlK0adMmdevWzblNAwAAAAAAAMjH3d1dN910kyZOnKjevXuX6r6aNWumyMjIUt0HAAAAAODKxD3BAAAopquvvlpXXXWVpNwVTp5//nnt2rXLoVq7d+/W888/b63e3rBhQ1199dVO6xUAnCVvYN3Hx6fAOT4+PlbAPS4urtCa9erVs8bR0dEl7BAAAAAAAADApbz22ms6fPiw5syZU+rhdgAAAAAASoKAOwAADpg4caJM05RhGEpPT1evXr30ww8/FKvGjz/+qN69eysjI8Oqde+995ZOwwBQQr6+vtY4IyOjwDl+fn7W+NChQ4XWdHNzs8bx8fEl6A4AAAAAAABAYSZNmqTq1au7ug0AAAAAAApFwB0AAAf83//9nxo0aCBJMgxDSUlJGj58uHr06KEvvvjiosHOQ4cO6YsvvlCvXr100003KSEhwXqvYcOGeuCBB8qkfwAorlq1alnjxMTEAuc0btzYGm/ZsqXQmvv377fG7u7uJegOAAAAAAAAAAAAAAAAVwpSJAAAOKBy5cr68ccf1aNHDyUlJckwDJmmqQ0bNmjDhg2Sclc7DgwMlJeXl9LT0xUfH6+UlBSrhn3VdtM0Va1aNS1YsECVKlVy1SEBwCW1aNFCUu5n1+HDh3XmzBl5eHjkm9OmTRutXLlSpmlq3bp1SkxMVEBAQIH1fv7553xB+eDg4NJrHgAAAAAAAAAAAAAAAOWGYZqm6eomAAAor7Zu3apbbrlFBw8elGEYknLDn4XJOzc0NFTffvutOnToUKq9AkBJmKapoKAgJSYmyjAMbdy4UZ07d843Z/Xq1erTp4/1GTdu3DhNmzbtgloJCQkKCwvTvn37rB/7/PHHH2rSpEmZHAsAAAAAAABQESUlJen999+3nt94441q3bp1setERUVpwYIF1vNHH31UXl5eTukRAAAAAACJgDsAACWWlpamp556SpGRkcrIyJD0b4C9IPY/vV5eXrrrrrv06quvytvbu0x6BYCSGD58uObPny/DMPTss8/qhRdeyPe+aZpq1KiRDhw4YAXX+/fvr3vvvVdNmjRRZmam1q9fr9dff12HDh2yPivbtGmj7du3u+CIAAAAAAAAgIrjnXfe0aOPPirDMOTt7a2DBw/K39+/2HUSExNVv359paenS5I++ugjTZw40cndAgAAAAAqMgLuAAA4SXJysr766iutXbtWmzdvVmxsrHJycqz3bTab6tatqy5duqhnz54aOXKk/Pz8XNgxABTPrFmzNHbsWBmGoaZNm2rPnj0XzFmwYIFuuukmGYZhhdzPZ3/dNE3ZbDYtWrRI/fv3L4tDAAAAAAAAACqsjh07avv27TIMQ3fffbc+/vhjh2vdfffd+uyzzyRJ1157rdatW+esNgEAAAAAIOAOAEBpSk5OVlpamry9vQmzAyj30tLSFBoaqrNnz0qSFi1apB49elww7+mnn9brr79uhdvP/8phD7dL0uTJk/Xkk0+WcucAAAAAAABAxXbq1CmFhIRYz5cvX64+ffo4XO/nn39Wv379JEnu7u6Ki4uTr69vifsEAAAAAEAi4A4AAACgFMyYMUNPPvmkTpw4UeD79evX15QpU3TzzTeXcWcAAAAAAABAxZM3kO7m5qbk5GR5eno6XC8jI0O+vr7KycmRYRhavXp1gYthAAAAAADgCHdXNwAAAADgyjN27FiNGjVKa9as0aZNm3TixAmZpqmQkBCFhYWpZ8+ecnfn6wgAAAAAAABQFv755x9JuXdXDA0NLVG4XZI8PT0VGhqq/fv3S5L27dtHwB0AAAAA4DQkSgAAAACUikqVKqlv377q27evq1sBAAAAAAAAKrSkpCRrXK1aNafUDAwMtALuiYmJTqkJAAAAAIAk2VzdAAAAAAAAAAAAAAAAKD0227/RgMzMTKfUzFsnKyvLKTUBAAAAAJAIuAMAAAAAAAAAAAAAcEULCgqSJJmmqWPHjjmlZt46gYGBTqkJAAAAAIAkubu6AQAALifh4eH5nhuGoZUrVxY6z1kutj8AAAAAAAAAAABH1axZ0xqfOnVKf/75p5o2bepwvb/++ksnT560nteoUaNE/QEAAAAAkBcBdwAA8lizZo0Mw5CUu4qJfXypec5yqf0BQHlz8uRJrV+/XkeOHFFGRoaCgoJUr1499ejRQ1WqVHF1ewAAAAAAAECF0rVrV7m5uSknJ0eSFBkZqTfeeMPhetOnT7fGhmGoa9euJe4RAAAAAAA7wzRN09VNAABwubDZbBcE3LOzsy85z1kutT8AKC+2bNmiZ599Vj///HOB71etWlW33HKLXnvtNYWEhJRxdwAAAAAAAEDFFRYWps2bN8s0TXl4eGjr1q1q3rx5sev8/vvv6tSpk86ePStJateunbZu3ersdgEAAAAAFRgBdwAA8rDZbPmeXyrgXhoIuANwpdTUVN1xxx2yf0UIDAzUp59+WuTtP/zwQz3yyCPKysrSpb5mGIYhb29vLVy4UD169Chx3wAAAAAAAAAK9/XXX+v222+XYRgyTVO1a9fWsmXLihVy37NnjwYMGKCjR49aC/dMnz5dd9xxR+k1DgAAAACocAi4AwAAAJAkzZ8/X8OHD7fuUPHUU0/plVdeKdK2c+bM0ahRo6znee9yYb/Qlfe5JHl5eemXX35Ru3btnNE+AAAAAAAAgEswTVNt2rTRnj17rOceHh6aNGmS7r33XgUHB19025MnT+qjjz7Sm2++qTNnzljn+5o1a6bdu3c7/a63AAAAAICKjYA7AAAAAEnSxIkTrRXb3d3ddejQIYWEhBS63alTp9S4cWOlpKRYF7LsXzNq1qyp+vXrKz09XXv37tXZs2fzzenQoYO2bNnCBTAAAAAAAACgDPz5558KCwtTcnKypH8Xp3B3d1e7du3UsWNHBQcHy9vbW2lpaTp58qS2bt2qHTt2WHdutK8AHxAQoA0bNqhp06YuPioAAAAAwJWGgDsAAAAASVLr1q31+++/yzAMhYeHa8WKFUXa7sEHH9QHH3xgXdgyDENNmzbV1KlT1a1bN2teamqqPvjgA7344ov5LoZ9++23GjZsWGkdFgAAAAAAAIA8Vq9erZtvvllJSUmS/l2sQlKBC1Gc/75pmqpWrZq+//579ejRo9T7BQAAAABUPDZXNwAAAADA9TIyMhQdHW1dwLr55puLtN2ZM2c0c+bMfBe+6tWrp/Xr1+cLt0uSj4+Pnn76aX3xxRdWuF2SZsyY4aSjAAAAAAAAAFCY3r17a9u2bercubMVXjcMI985vvND7Xnvyti9e3ft2LGDcDsAAAAAoNQQcAcAwAGHDh2yHpmZmSWqlZmZma8eALjC3r17lZ2dbV246t69e5G2W7x48QW3M54yZYoCAgIuus3IkSN1/fXXyzRNmaapFStWKDs7u+QHAQAAAAAAAKBIQkNDtXHjRi1dulQDBgyQh4eHdb7Ofo4w7/OqVatqyJAh+vnnn7V27VrVrVvXxUcAAAAAALiSGWben14DAIAisdls1molK1asUHh4uMO1Vq5cqX79+knKXQUlKyvLKT0CQHF8//331qrt3t7eSklJKdJ2999/vz766CPr1sS1atXS4cOHC91u2bJlGjhwoKTcz76oqCi1bNnS8QMAAAAAAAAA4LCsrCxt3bpV//zzjxISEpSamiofHx9Vq1ZNjRs3Vvv27eXu7u7qNgEAAAAAFQTfQAEAcJB9pWJn1QIAVzp27Jik3LB5zZo1i7zd2rVrrXC7YRi68cYbi7Rdz5495ebmppycHEnSH3/8QcAdAAAAAAAAcBF3d3d16dJFXbp0cXUrAAAAAADI5uoGAAAor5wVbgeAy0F6ero1rlatWpG2SUtLU3R0dL7XevXqVaRtPTw8FBoaav3AJyEhoWiNAgAAAAAAAAAAAAAA4IpGwB0AAACAsrOzrXFmZmaRttm+fbu1Artdp06dirzPgIAAa5ySklLk7QAAAAAAAAAAAAAAAHDlIuAOAICLnTlzxhp7eHi4sBMAFZmfn58kyTRNxcXFFWmbzZs353seGBioevXqObT/vAF7AAAAAAAAAAAAAAAAVFwE3AEAcLF//vnHGvv6+rqwEwAVWVBQkDU+fPiwkpOTC91m/fr11tgwDHXu3LlY+8wbpPfx8SnWtgAAAAAAAAAAAAAAALgyubu6AQAAKrLs7GzNmjVLUm449Oqrr3ZxRwAqqrZt20rK/SySpJ9++km33377ReefPn1aK1eulGEYMk1ThmGoR48eRd6faZo6ceKE9TwwMNCxxgEAAAAAAAA4JD4+XitXrtT27dsVGxur5ORknT59WqZpFquOYRhauXJlKXUJAAAAAKiICLgDAHARM2fOLNK85cuX6/Dhw0Wua5qmMjIyFBMTox9//FH79u2z3uvSpUux+wQAZ7j66qsVGBiohIQEmaapN954Q6NGjbIC7+ebPXu2MjIy8r3fv3//Iu9v165dOn36tPW8UaNGjjcPAAAAAAAAoMhiY2P1xBNPaP78+Tp37lyJatkXvwAAAAAAwJkMs7g/vwYAoIKw2WwXPSmb989nSU7c2k/8mqYpm82mnTt3qmXLlg7XA4CSeOihh/T+++9bn2t33XWXpk6dKpvNlm/ewYMH1alTJ8XFxUnK/Sxr0aKFdu/eXeR9ffjhh3rggQck5X6OJiYmytfX10lHAgAAAAAAAKAgy5cv1y233KK0tDTrWoczrnNkZ2c7q0UAAAAAAAi4AwBwMfaAe2n9qbSfMLbXnzRpkl577bVS2RcAFMW+ffvUsmVLZWVlWRemWrZsqbvuuktNmzZVdna2Nm3apI8//ljx8fHWZ6RhGPr444919913F3lfffr00erVqyVJTZo0UXR0dGkdFgAAAAAAAABJe/bsUefOnZWRkSFJTrsGQsAdAAAAAOBsBNwBALiI81csLi1t2rTRo48+qtGjR5fJ/gDgUl566SW98MIL+S5unb+C0/m3HW7SpIl2794tNze3Iu3j0KFDatCggfV8/Pjxmjp1qhO6BwAAAAAAAHAxAwcO1LJly6xze4Zh6JZbbtGIESPUtm1bBQcHy9PT08VdAgAAAAAgubu6AQAALleRkZEFvm6apu666y7rBPBjjz2m5s2bF7muzWaTl5eXqlWrphYtWqh69epO6RcAnOG///2v9u7dq6+++uqCO03Y5X3dx8dH3377bZHD7ZL0ySef5AvP9+vXz0ndAwAAAAAAACjIiRMntHz5cmthCz8/Py1cuFDdunVzdWsAAAAAAFyAFdwBAHCAzWazAp4rVqxQeHi4izsCAOcxTVOvvfaaJk+enO92xfb37Jo0aaK5c+eqdevWRa4dHx+vBg0aKD09XaZpqmrVqjp16hQrQwEAAAAAAACl6Ntvv9WIESMk5Z7r+/zzzzV27FgXdwUAAAAAQMFYwR0AAAfxGzEAVyrDMPT0009r3LhxmjdvnlasWKHDhw8rNTVV/v7+atGihQYPHqybbrpJNputWLWXLl2qDh06WM87duxIuB0AAAAAAAAoZceOHbPGXl5eGjVqlAu7AQAAAADg0ljBHQAABxw8eNAah4SEqEqVKi7sBgAAAAAAAAAA4OJee+01PfPMMzIMQ61bt9aOHTtc3RIAAAAAABfFCu4AADigfv36rm4BAAAAAAAAAACgSAIDA62xuzsxAQAAAADA5c3m6gYAAAAAAAAAAAAAAEDpadOmjSTJNE0dPnzYxd0AAAAAAHBpBNwBAAAAAAAAAAAAALiCderUSXXq1JEknTx5Unv27HFxRwAAAAAAXBwBdwAAAAAAAAAAAAAArmCGYRcVrnUAAHAJSURBVGjSpEnW8zfffNOF3QAAAAAAcGmGaZqmq5sAAKC8S0pK0pw5c7Rx40bt2LFDcXFxSkpKUmZmZrHqGIahrKysUuoSAAAAAAAAAABUVKZpqm/fvlq1apUMw9Bnn32mO++809VtAQAAAABwAQLuAACUwNmzZ/Xkk0/q008/1enTpyXlniB2lGEYys7OdlZ7AAAAAAAAAAAAltTUVA0ePFjr16+XzWbTgw8+qP/+978KCAhwdWsAAAAAAFgIuAMA4KBTp06pT58+2rNnj0zTlGEYkpRvbH8uKd9reeX9U0zAHQAAAAAAAAAAlIaZM2dKkjIzM/X6669r//79MgxDVatW1XXXXaeOHTsqODhYHh4exa4dERHh7HYBAAAAABUYAXcAAByQnZ2t3r17a/369ZJyg+mmaapmzZoKDQ3Vr7/+ar3eqlUreXp6KiEhQTExMTp37pz1niSFhoaqXr16Vu3Vq1eX8dEAAAAAAAAAAIArnc1mu2AxnsIW6SkqFu8BAAAAADiTzdUNAABQHn355Zdav369DMOQYRgKDQ3Vzz//rCNHjmjDhg2S/j0Z/Pbbb2vjxo36888/lZycrGXLlmno0KHWSePjx49r9OjRWr16NeF2AAAAAAAAAABQqs6/s+z5d6Ut6uP8WgAAAAAAOAsruAMA4IA2bdpo9+7dkqSAgADt3LlTdevWtd7PuwrKihUrFB4efkGNxYsXa8yYMUpMTJRhGHrnnXf0f//3f2VzAAAAAAAAAAAAoEKx2Upn/TvDMFjBHQAAAADgVO6ubgAAgPLmxIkT2r17txVgf/LJJ/OF24tq0KBBWrJkiXr27KmzZ8/q0UcfVbdu3dS+fXtntwwAAAAAAAAAACq4yMhIV7cAAAAAAECREHAHAKCYNm/eLCn3tpuGYWj06NGXnH+pm6V06tRJjz76qCZPnqycnBw988wzWrJkiVP7BQAAAAAAAAAAGDt2rKtbAAAAAACgSErnHmQAAFzBjh8/bo1r1qypmjVrXnL+mTNnLvn+vffeK8MwZJqmVqxYobi4OKf0CQAAAAAAAAAAAAAAAABAeUPAHQCAYkpISJAkGYahGjVqFDincuXK1vj06dOXrFe7dm2FhoZKyl3tfePGjc5pFAAAAAAAAAAAAAAAAACAcoaAOwAAxeTu7m6Nq1SpUuAcX19fmaYpSTp69GihNatXr26NY2JiStghADhfdna2UlJSrMe5c+dc3RIAAAAAAAAAAAAAAACuQATcAQAoJn9/f2uckpJS4JygoCBr/PfffxdaMz09vcAxAFwuZsyYoYCAAOuxbt06V7cEAAAAAAAAAAAAAACAK5B74VMAAEBeV111lSTJNE0dP368wDktW7bUn3/+KUmFhkBTU1P1119/yTAMSZKPj48TuwUA5zhx4oR1Zwp/f3+Fh4e7uCMAAAAAAAAAznDq1CmtW7dO0dHRSkhIUHJysnJycvTEE0+oadOmrm4PAAAAAFABEXAHAKCYWrZsaY0TExN14sQJ1ahRI9+ca665RvPmzZNpmtq1a5e2bdumDh06FFjvww8/VFZWliTJMAzVr1+/9JoHAAd5e3tL4nMKAAAAAAAAuFIsWLBAb731ljZs2FDg+6NHjy4w4P7kk09qy5YtkqT69esrMjKyVPsEAAAAAFQ8Nlc3AABAeVO9enU1adLEer5x48YL5tx6660yDEOGYcg0Td1+++06ePDgBfO+/fZbvfDCC9bq7W5uburRo0fpNQ8ADqpZs6arWwAAAAAAAADgBPHx8RoyZIiGDRumDRs2yDRN6+6NeccX06VLF61Zs0Zr1qzRzJkztWfPnrJoGwAAAABQgRBwBwDAAX379rXGixcvvuD9+vXra8iQITJNU4ZhaO/evWrevLmGDx+up59+Wo899pi6dOmi2267TZmZmda8kSNHyt/fvwyPBACKplmzZpJyL3DFxsa6uBsAAAAAAAAAjoiLi1PXrl21ePHiC4Ls9msVhbnhhhtUt25d6/lXX33l9D4BAAAAABWbYRb282sAAHCB9evXWyut+/r66vDhw/L29s4359ChQ2rTpo1SUlIkXXhi2P4n2L7Ke0hIiLZt28YqyQAuW61atdKePXtkGIY2btyozp07u7olAAAAAAAAAEVkmqauvfZabdq0ybo24ePjo/Hjx6tfv36qW7euWrZsKSn32sWKFSsUHh5eYK1HHnlE7777rgzDULt27bR169ayPBQAAAAAwBWOFdwBAHBAt27d9Oijj+o///mPxowZo3379l0wp169elq2bJkCAgIKXPXEMAzrBHKdOnW0ePFiwu0ALmt33323NX7++edd2AkAAAAAAACA4po5c6YVbpeksLAw7d27V2+99Zb69++v5s2bS1KRVnEfPHiwpNzQ/M6dO5Wamlp6jQMAAAAAKhxWcAcAoJQlJCTolVde0TfffKOjR4/me6927dqKiIjQY489poCAABd1CABFk52drV69emnDhg0yDEMPP/yw/ve//7m6LQAAAAAAAABF0KJFC0VHR0uSGjVqpK1bt8rX1zffHJvNZgXcL7WCe1JSkqpVqyZJ3PERAAAAAOB0BNwBAChDsbGxOnHihEzTVEhIiOrWrevqlgCgWJKSkjR06FCtX79ehmHo2muv1UsvvaRevXq5ujUAAAAAAAAAF3HgwAE1bNjQCq/PnTtXN9988wXzihpwl3IX8Tl27JgMw9AXX3yhMWPGlE7zAAAAAIAKx93VDQAAUJHUrVuXUDuAcuull16SJPXs2VP79u3TiRMntGHDBvXp00c1atRQx44d1aBBA/n6+qpSpUrFqv3cc8+VRssAAAAAAAAAJG3ZskWSZJqmqlatqqFDh5a4ZrVq1XTs2DFJUmJiYonrAQAAAABgR8AdAAAAQJG88MIL1upNUu6th+03hDp+/LgWLVrkcG0C7gAAAAAAAEDpOXnypKTcc3oNGzZU5cqVS1zT29vbGqenp5e4HgAAAAAAdgTcAQAAADgsb+DdEaZplrgGAAAAAAAAgEtLS0uzxnmD6SWRmppqjb28vJxSEwAAAAAAiYA7AAAAgGKwr9gOAAAAAAAAoPwIDAy0xgkJCU6peeTIEWscFBTklJoAAAAAAEgE3AEAAAAU0erVq13dAgAAAAAAAAAHhISESMpdwCImJkYZGRny9PR0uN6uXbuUnJxsPW/QoEGJewQAAAAAwI6AOwAAThAfH6+VK1dq+/btio2NVXJysk6fPl3slY4Nw9DKlStLqUsAKJmePXu6ugUAAAAAAAAADujSpYsMw5AkZWdna9GiRbrlllscrhcZGWmNvby81KlTpxL3CAAAAACAHQF3AABKIDY2Vk888YTmz5+vc+fOlaiWaZrWyWUAAAAAAAAAAABnqV69ujp06KCtW7fKMAxNnjxZw4YNk5ubW7Fr/fXXX/r000+taxrh4eEO1QEAAAAA4GJsrm4AAIDyavny5WrZsqW++eYbZWZmFnu1dgAAAAAAAAAAgLJy//33W+Ndu3bpgQceKHaNw4cP68Ybb1RGRoZ1XeTxxx93Wo8AAAAAAEgE3AEAcMiePXs0bNgwpaam5lt53TRNhx8AAAAAAAAAAAClZcyYMWrdurWk3OsZU6dO1ZAhQ7Rv375Ct83MzNTUqVPVsWNH7d27V4ZhyDAM9e/fX9dee21ptw4AAAAAqGAMk0QdAADFNnDgQC1btswKthuGoVtuuUUjRoxQ27ZtFRwcLE9PTxd3CQAAAAAAAAAA8K99+/bp2muvVXx8fL7XO3XqpI4dO+rDDz+UlHvdY+TIkfL399fff/+tjRs3Kj093Vr0xzRN1atXT9u2bVNgYKArDgUAAAAAcAUj4A4AQDGdOHFCtWrVkpS7womfn58WLlyobt26ubgzACh7pmlq69atWrdunaKjo5WQkKDk5GTl5OTorbfeUrt27VzdIgAAAAAAAIA8Nm/erBtuuEEnT560wup571RrZ38t7+v2+XXr1tWiRYvUsmXLsm0eAAAAAFAhuLu6AQAAyptffvkl34ncd999l3A7gArn3Llz+uijj/Tee+/p4MGD+d6zXxBLTEwscNuJEydqxYoVkqT69etr9erVpd4vAAAAAAAAgFydO3dWVFSU7rjjDi1btizfe3lD7ee/bpqmTNNU//79NXPmTFWvXr0s2gUAAAAAVEA2VzcAAEB5c+zYMWvs5eWlUaNGubAbACh7f//9t7p06aJHHnlEBw4cyLeqU1FuEDVixAgdOHBABw4c0C+//KLNmzeXZrsAAAAAAAAAzlOjRg0tWbJEv/76q2699Vb5+vpaAfaCHlWrVtX111+vtWvXasmSJYTbAQAAAAClihXcAQAopvT0dEm5q5VcddVVqlSpkos7AoCys3//fnXr1k2nTp2yVmq3X+SS/l3J6VLCw8PVpEkT/fXXX5KkuXPnqnPnzqXeOwAAAAAAAID8OnfurDlz5sg0Te3evVvR0dGKj49XUlKSPD09FRQUpAYNGqhTp05cDwEAAAAAlBkC7gAAFFNgYKA1dnfnTymAiiMzM1ODBg3SyZMnrVsV169fXw8//LD69eununXrytvb+6K3Mc5r+PDhmjx5siRdcBtkAAAAAAAAAGXLMAy1bt1arVu3dnUrAAAAAADI5uoGAAAob9q0aSNJMk1Thw8fdnE3AFB2PvroI+3du9cKsN90003as2ePHnjgATVp0kSenp5FrjVw4EBJuZ+lf/75p+Lj40ulZwAAAAAAAAAAAAAAAJQvBNwBACimTp06qU6dOpKkkydPas+ePS7uCADKxrvvvmuF29u3b685c+aoatWqDtVq27ZtvpXe//jjD6f0CAAAAAAAAAAAAAAAgPKNgDsAAMVkGIYmTZpkPX/zzTdd2A0AlI3o6GgdOnRIpmlKkl599VVVqlTJ4XpeXl6qXbu29fyff/4pcY8AAAAAAAAAAAAAAAAo/wi4AwDggPvuu0/h4eEyTVOzZ89WZGSkq1sCgFK1Y8cOa+zt7a3rrruuxDUDAgKscVJSUonrAQAAAAAAAAAAAAAAoPxzd3UDAACUR4ZhaP78+Ro8eLDWr1+vCRMm6Pfff9d///vffIFNALhSnDp1SlLu51+DBg1ks5X8t7Kenp7WOCMjo8T1AAAAAAAAAFzcSy+95NR67u7u8vPzk5+fn+rXr6/27dvLy8vLqfsAAAAAAFRMBNwBAHDAzJkzJUkRERE6evSo9u/fr3fffVdTp07Vddddp44dOyo4OFgeHh7Frh0REeHsdgGgxM6cOWONq1Sp4pSaycnJ1tjX19cpNQEAAAAAAAAU7IUXXpBhGKVW32azqVWrVho3bpzGjBnDOT8AAAAAgMMM0zRNVzcBAEB5Y7PZLjgJbP+TWtKTw9nZ2SXaHgBKw+eff67x48fLMAyFhobqn3/+KXBe3s/HFStWKDw8vMB52dnZ8vf3V3p6ugzD0Jdffqnbbrut1PoHAAAAAAAAKrq85+4uFhMo6BpHYXPPf98wDAUGBmrq1Km66aabStIyAAAAAKCCsrm6AQAAyrO8J20Nw8h34tc0zSI/zq8FAJebmjVrSsr9rDp48GC+1dcdsXXrVqWnp1vPr7766hLVAwAAAAAAAFC4vNcl7Nc1Cru2cf7cvMH2gq6TmKapuLg43XzzzXr77bfL8OgAAAAAAFcKd1c3AABAeeXMYDrhdgCXu7CwMLm7uys7O1umaWrevHkaN26cw/WmTp1qjf39/dW+fXtntAkAAAAAAADgIlavXi1JOnnypJ588kkdOHBApmnKZrOpV69eCgsLU7NmzeTv768qVaooJSVFR48e1c6dO7Vo0SIdP35cUu5K8Pfcc49uvfVWpaWlKSEhQbt27dLKlSu1c+fOfAH4J554Qs2aNdPAgQNddtwAAAAAgPLHMEnUAQBQbDNmzCi12mPHji212gBQEr169dIvv/wiSWrYsKF27dolT0/PfHPy3uZ4xYoVCg8Pv6DOpk2b1KNHD2VnZ0uSRo4cqdmzZ5dy9wAAAAAAAAD++OMPDRw4UIcPH5Zpmho9erQmT56sOnXqXHK7nJwczZs3T48//rhiY2NlGIb+7//+T++8806+eevWrdOECRO0d+9eazX3Fi1aaPfu3aV5WAAAAACAKwwBdwAAAABFsnDhQt1www1WgH3o0KH65ptvVKlSJWtOYQH3nTt3avDgwTp+/Li1OtTOnTvVsmXLsjsQAAAAAAAAoAJKSEhQmzZtdOTIERmGoQ8//FD33HNPsWqcOnVK/fr1U1RUlAzD0CuvvKKnnnoq35yUlBRde+21+uOPP2SapgzD0MKFCzVo0CBnHg4AAAAA4Apmc3UDAAAAAMqHIUOGqGfPnrL/RvbHH39U586dtXLlykK3PXLkiJ566il169ZNx44dsy5s3X777YTbAQAAAAAAgDLwzDPPWOH2u+66q9jhdkmqXr26vv32W3l4eMg0Tb3wwgs6ePBgvjm+vr6aNWuWdQ5Qyl0MAwAAAACAomIFdwAAAABFdurUKXXu3Nm6aGW/SBUSEqL27dtr0aJFkiTDMNS7d295eHjo77//1r59+/LNN01TrVu31q+//qqqVau67HgAAAAAAACAiiA9PV3Vq1fXmTNnZBiG9u3bp4YNGzpcb+zYsZo1a5YMw9BTTz2lV1555YI51113nVatWiXDMNShQwdt2bKlJIcAAAAAAKhAWMEdAAAAQJFVr15dy5YtU5MmTfKF1Y8dO6bFixdb80zT1OrVq7VkyRLt3btXpmnmm9+uXTstWrSIcDsAAAAAAABQBtatW2eF2+vWrVuicLskhYeHW+OLrc7ep08fSbLOHwIAAAAAUFQE3AEAAAAUS+PGjbVt2zZNnDhRbm5ukmTdatgwDOthl/e5m5ubJk6cqA0bNqh27dpl3zwAAAAAAABQAe3du9ca16hRo8T1goODJeWG1+13bzzfVVddZY0TEhJKvE8AAAAAQMVBwB0AAABAsVWtWlUff/yx9u/fryeeeEItW7aUJGul9vMfV111le6//3799ddf+vjjj+Xh4eHiIwAAAAAAAAAqjrS0NGucnJxc4nopKSnWOD09vcA5fn5+1jgrK6vE+wQAAAAAVBzurm4AAAAAQPlVp04dvf7663r99deVlJSkv/76S/Hx8UpKSpKnp6eCgoLUoEEDVmsHAAAAAAAAXCgoKEhS7gIVMTExSkpKkr+/v8P1tm7dao0DAwMLnJORkWGNvby8HN4XAAAAAKDiIeAOAEAebm5u+Z4bhlHgqiLnz3OWi+0PAMoDf39/de7c2dVtAAAAAAAAADhPgwYNJP17HeLzzz/XI4884lCttLQ0ffXVVzIMI1/t8x05csTaZ40aNRzaFwAAAACgYrK5ugEAAC4npmle8CjqPGc9AAAAAAAAAAAAnKlHjx7y8fGRlHuN44UXXtCOHTscqnXffffp2LFj1jWN66+/vsB527Zts8ZXXXWVQ/sCAAAAAFRMrOAOAMB57CuOFBY2NwzDaYF0Z9YCgNIyc+ZMa9y/f/8Srbp0/PhxLV++3HoeERFRot4AAAAAAAAAXFyVKlUUERGhDz/8UIZhKC0tTeHh4frggw80evToItU4duyY7rvvPv3444/WdY2qVasWeG4vJydHS5cutZ536NDBaccCAAAAALjyGSZpOgAALL169bIC7narV68u0jxnKWh/AHA5sNls1mffihUrFB4e7nCtlStXqm/fvla97Oxsp/QIAAAAAAAAoGApKSlq2rSpTpw4ISl3oR/DMNSsWTONGjVKYWFhatasmfz8/FS5cmWlpaXp6NGj2rFjh3766SctWLBAp0+fthbsMQxDb7zxhh577LEL9rVs2TINHDjQOv/3888/q3fv3mV3sAAAAACAco2AOwAAAIAisdlsknIvXDkr4G6vR8AdAAAAAAAAKH1RUVHq27ev4uPjJSlfWL0w9kC8fTxhwgRNnTq1wLm9evXSL7/8IkkKCgrS8ePHrfOLAAAAAAAUhm+QAAAAAIqstO5eAQAAAAAAAKD0tWnTRmvXrlXbtm2twLphGDJN85IPSda8SpUq6eWXX75ouF2SZsyYoZiYGMXExGj37t2E2wEAAAAAxcK3SAAAAABlLu+NpAjNAwAAAAAAAGWnWbNm2rJli9577z01atRI59/03R56z3vezjRNVa5cWbfddpt27NihZ5555pL7qF+/vvWoUaNGqRwHAAAAAODK5e7qBgAAAABUPGlpadbYy8vLhZ0AAAAAAAAAFY+bm5seeOABPfDAA9q0aZPWr1+vrVu36siRI0pKStLZs2fl5+enatWqqXnz5urUqZP69eunwMBAV7cOAAAAAKgACLgDAAAAKHO7du2yxgEBAS7sBAAAAAAAAKjYunTpoi5duri6DQAAAAAALATcAQAAAJSpmJgYTZs2zbrFcfPmzV3cEQAAAAAAAHBl27Fjh2bNmmU9HzVqlDp27OjCjgAAAAAAuDgC7gAAAAAsd911V5HmTZkyRbNnzy5yXdM0lZGRoZiYGO3cuVPZ2dkyTVOGYah3796OtgsAAAAAAACgCNauXat3331XhmHIzc1NTz31lKtbAgAAAADgogi4AwCQR1GDnaXFMAxNnz7dpT0AqNi++OILa2X1gpimKUlavny5Q/Xt29v34e3trYiICIdqAQAAAAAAACiaM2fOSMo9P1enTh1Vr17dxR0BAAAAAHBxBNwBAMijsGBnabKvZEzAHcCVzP4Za5qmPDw8FBkZqRo1ari4KwAAAAAAAODKFhISIin3/FxwcLCLuwEAAAAA4NIIuAMAUEL21YjzKsrqx0WdDwBlraDPKUfmFMTNzU1XX321+vXrp/vuu0+NGzd2qA4AAAAAAACAoqtVq5Y1TkhIcGEnAAAAAAAUzjAdTaYAAHAFstlsDm2XN6BelD+tF5tvGIays7Md6gEAnOHgwYMFvm6apho2bGh9fs2ePVthYWFFrmuz2eTl5SVfX1+5u/M7WwAAAAAAAKAspaenq0aNGsrIyJCbm5tOnDihatWqubotAAAAAAAKRLIEAIA8YmJiijU/Ojpa9913nw4ePCjTNFW5cmUNGjRIvXr1UqtWrRQYGCgvLy+lp6crPj5eu3bt0tq1a7V48WJlZmbKMAw1aNBAH330kZo2bVpKRwUARVe/fv0izatRo0aR5wIAAAAAAABwLS8vLw0dOlRz5sxRTk6OZs2apQcffNDVbQEAAAAAUCBWcAcAwEFr167VDTfcoNTUVJmmqfHjx2vy5MkKCgoqdNtTp07p6aef1vTp02UYhnx9ffXjjz+qe/fuZdA5ADgmNDTUWsH9q6++UteuXV3cEQAAAAAAAICiio6OVrt27XTu3Dn5+flp8+bNaty4savbAgAAAADgAgTcAQBwwMGDB9WmTRulpKTIMAxNnTpV48ePL3adzz77TBMnTpRpmvLz81NUVJTq1atXCh0DAAAAAAAAAICK7ssvv9TYsWOVk5OjmjVrasaMGbruuutc3RYAAAAAAPnYXN0AAADl0RNPPGGF2ydOnOhQuF2Sxo8fr7vvvluSlJKSoieeeMKZbQIAAAAAAAAAAFhuv/12LVy4UDVq1NCxY8fUv39/9ezZU5988om2b9+uxMREZWdnu7pNAAAAAEAFxwruAAAUU0JCgmrUqKHs7GwZhqH9+/erfv36Dtc7ePCgGjRoIElyd3fX8ePHVa1aNWe1CwAAAAAAAAAAIDc3twteM01ThmGUqK5hGMrKyipRDQAAAAAA8mIFdwAAimndunVWuD00NLRE4XZJql+/vhVwz87O1rp165zRJgAAAAAAAAAAgMU0TethZw+3533PkQcAAAAAAM7k7uoGAAAob/bv32+Ng4KCnFIzKChIMTExF9QHgPIiPj5ecXFxSkpK0tmzZ4u9fY8ePUqhKwAAAAAAAAB5GYbhtFC6vRYAAAAAAM5GwB0AgGI6c+aMpNzVTOLi4pxSMz4+3ho7EgwFAFdYtmyZIiMjtXHjRh05csThOtzCGAAAAAAAACh9PXr0sFZsBwAAAADgckbAHQCAYgoJCbHGBw8e1OHDh1WnTh2H6x0+fFgxMTHWSeXg4OAS9wgApemvv/7SqFGjtHPnTklilSYAAAAAAACgHFizZo2rWwAAAAAAoEhsrm4AAIDy5uqrr5b07603//e//5Wo3pQpU/LdDtReHwAuR1u3blXHjh21c+fOC4LthmFYj/PlfY9VogAAAAAAAAAAAAAAAHAxhslyiwAAFItpmqpbt66OHTsm0zRls9k0a9YsjRw5sti1vvrqK40ZM8aqW6tWLR0+fNjZLQOAUyQlJalVq1Y6cuSI9SMfPz8/DRw4UA0aNNBrr70mKTfMPnr0aNWuXVsJCQnas2ePtm3bpjNnzljh9mbNmumWW26xaj///PMuOSYAAAAAAAAAAAAAAABcXtxd3QAAAOWNYRh66KGH9MQTT8gwDOXk5GjMmDHavHmzXnjhBfn7+xdaIykpSc8//7w+/PBDSbnhdntdALhcffDBB1a4XZIGDRqkWbNmKSAgQJL02muvWe+NHTtW4eHh1rapqamaPn26XnrpJSUlJSk6Olr//POPPv/8c7m787UEAAAAAAAAAAAAAAAAuVjBHQAAB+Tk5Khr16767bffrFWMDcOQh4eHBg8erF69eqlly5YKDAyUp6enMjIyFBcXp99//11r167VokWLdObMGWs70zR1zTXX6Ndff5XNZnP14QFAgWrVqqUTJ07INE01adJEUVFRqly5svW+zWazAu4rVqzIF3C3O3LkiK6//npFRUXJMAyNHDlSs2fPLrNjAAAAAAAAAAAAAAAAwOWNgDsAAA5KTExU3759tX37diukLskKd15K3rmmaapdu3Zavny5AgMDS7VnAHDUvn371KRJE+szbvbs2Ro5cmS+OUUJuEvSqVOn1KZNGx0/flyGYejrr7/WrbfeWroHAAAAAAAAAOCSjhw5ooSEBCUnJysnJ0dt2rSRn5+fq9sCAAAAAFRALBELAICDAgICtGbNGt19993Wa/Zgp2maF33knSdJ48eP15o1awi3A7isbd++XVLu55vNZtPQoUMvOT8nJ+ei71WvXl0vv/yy9fyVV15xTpMAAAAAAAAAiiwzM1Off/65Bg8erICAANWrV09t27ZVz5491bt3b23btq3A7RYtWqSZM2dq5syZWrp0aRl3DQAAAACoCAi4AwBQAt7e3vrkk0+0ceNGjRgxQpUrV1ZhN0cxTVOVKlXSiBEjtGHDBk2bNk0+Pj5l1DEAOCYuLk5S7g906tevLy8vr0vOP3369CXfz/uZuWfPHv39999O6xUAAAAAAADApc2bN0/169fXhAkTtHTpUiUnJ1+wWM/F7Ny5U3feeafuvPNODRs2TMnJyWXUNQAAAACgonB3dQMAAFwJOnfurK+//lrJycn69ddftWXLFsXExCgpKUlpaWny8vKSv7+/GjZsqGuuuUZhYWHc1hNAuZL3ItXF7jjh6empjIwMGYahtLS0S9bz9vZWgwYN9Ndff0mSfvvtNzVq1Mh5DQMAAAAAAAAo0MMPP6z333+/wLvOGoZRaMD9vvvu0+TJk3X69GmdPXtWc+fOzXe3WwAAAAAASoqAOwAATuTn56cBAwZowIABrm4FAJyqatWq1vhiF7h8fX2VkZEhSTp8+HChNf39/a3x0aNHS9YgAAAAAAAAgEK9/PLLeu+99yT9G2avXr26evfurXr16mnKlCmF1ggICNCAAQM0f/58SdJPP/1EwB0AAAAA4FQ2VzcAAEB588svv2jYsGHWY/369a5uCQBKXd5V21NTUwucU7NmTWv8xx9/FFrz1KlT1jgzM7ME3QEAAAAAAAAozO7du/Xiiy/KMAwZhiEPDw99+OGHOnz4sL7++mu98cYbkvKv6H4xN910k6TcxTDWrl2r7OzsUu0dAAAAAFCxsII7AADF9Ntvv+mHH36QYRiqVKmSvvjiC1e3BAClrmnTppJyL1jFxsYWOKdNmzbasWOHTNPU6tWrL1nv0KFD2r9/v3WxLCAgwLkNAwAAAAAAAMjn2WefVU5OjiSpcuXKWrp0qbp37+5QrbCwMGuclpamffv2WecQAQAAAAAoKVZwBwCgmOyrkJimqXr16snX19fFHQFA6WvRooXc3XN/H3v69Gnt37//gjndunWzxrGxsZozZ85F6z333HOScj9LJalZs2bObBcAAAAAAABAHunp6Vq6dKm1evtjjz3mcLhdkho2bCgfHx/reXR0tDPaBAAAAABAEgF3AACKrWbNmpJyb9HJisMAKgovLy917NjRer5q1aoL5gwfPlxVqlSRYRgyTVP33HOPvvnmGyvELkkpKSn6z3/+o5kzZ1qrt/v5+alr166lfxAAAAAAAABABbVu3TplZmZa5+ruv//+EtcMCQmxxsePHy9xPQAAAAAA7Ai4AwBQTHXq1LHGp06dcmEnAFC2BgwYYI0XLlx4wft+fn564IEHZJqmDMNQSkqKRo4cqRo1aigsLEwdO3ZUjRo19Mknn0iSNe///u//VLly5TI7DgAAAAAAAKCiOXz4sKTcxXtCQ0PzhdMd5e/vb41TUlJKXA8AAAAAADsC7gAAFNO1114rf39/maapgwcP6tixY65uCQDKxMiRIyXlBtOXLFmi2NjYC+a88MILatmypRVeN01TcXFx2rx5s7Zv366zZ89a70lSp06d9Mwzz5TpcQAAAAAAAAAVTVxcnDUODg52Ss2srCxrbLMRPQAAAAAAOA/fMgEAKKbKlSvrlltusZ5PnTrVhd0AQNlp3LixFi5cqG+//VZff/21cnJyLpjj6emp1atXq2fPntbtju1hdsMwrLFpmho0aJCWLl2qSpUqld1BAAAAAAAAABWQl5eXNU5PT3dKzbyh+cDAQKfUBAAAAABAktxd3QAAAOXRc889p2+++UYpKSmaMmWK+vfvr65du7q6LQAodYMHDy50TmBgoFavXq2FCxdqzpw52rRpk06cOCHTNBUSEqKwsDBFRESob9++ZdAxAAAAAAAAAPuq7aZpFnhnxuI6efKkYmNjrQUtQkJCSlwTAAAAAAA7Au4AADigdu3a+vbbb3XjjTcqIyNDAwYM0FtvvaXx48e7ujUAuGwMGTJEQ4YMcXUbAAAAAAAAQIXXrFkza5ySkqLt27erffv2Dtf78ccfJeUG5m02mzp37lziHgEAAAAAsDNM0zRd3QQAAOXNoUOHJEnbt2/XvffeqxMnTsgwDNWrV08jRoxQp06d1KBBA/n6+qpSpUrFql2vXr3SaBkACnXrrbeqZ8+e6tmzp1q2bOnqdgAAAAAAAAA4Ue3atXX8+HFJ0tixY/X5559fMMdms1mrsq9YsULh4eEXzDl37pxatWqlffv2SZJat26tHTt2lGLnAAAAAICKhoA7AAAOyHuC187+J/X814vDMAxlZWWVqDcAcFTez7Zq1aqpe/fuVuC9bdu2rm0OAAAAAAAAQIk88sgjevfddyXlngtcvHix+vXrl29OUQLu99xzj6ZNmyYp97rG+++/r//85z+l2zwAAAAAoEIh4A4AgAPsJ3hN07xo0N0RhmEoOzu7pO0BgEPyfrZJ+X+w4+fnp27dulmB9/bt28tms7mqVQAAAAAAAADFFBcXp6uuukppaWkyTVOenp6KjIzULbfcYs25VMA9MTFR//nPfzR37lxJuddDatWqpf3796ty5cplezAAAAAAgCsaAXcAABxwfgjUWQi4A3ClS92dQsofePf29ta1115rBd6vueYaubm5lVmvAAAAAAAAAIpv+vTpmjBhQr5FfLp27aqIiAh16NBB11xzjaTcc4GRkZFq3ry5/v77b61atUpz5sxRenq6dc7Qzc1NixcvVt++fV15SAAAAACAKxABdwAAHHDnnXeWWu3IyMhSqw0Al/Liiy/ql19+0aZNm3T69Gnr9bzB9v+vvfuOsqus98f/3pNKCqmEhJKGBISEltBLEBAEpRdFmiKgV7wiKMJ1KRcs13IFe6EpiojS5f4AKVICIUAoiTQFAgkQSnoPCZnZvz9YOd9MCmQmM5kzyeu11iz2s/ezn+ezw1o5K+e853NWFXjv1KlTdt9990rgfdddd027du3WTuEAAAAAwGr71re+le9973sr/abaVb3/t/Ta0nNlWeaSSy7JV77ylbVSMwAAAOsXAXcAAKCeJUuWZOzYsRk1alRGjRqV0aNHZ86cOZXrq/OBV8eOHbPrrrtWAu+77757OnTosHYeAAAAAAB4X7///e/zn//5n1mwYEG9b6z9oPf+yrJMp06dcuWVV+aTn/zk2i0aAACA9YaAOwAA8L7Kssy4cePywAMPZNSoUXnooYcybdq0yvXVCby3b98+O++8cyXwvscee6RTp05r5wEAAAAAgBW88sor+eEPf5irr7663jc6JvUD7Uu1bds2J510Ur75zW9m0KBBa7VWAAAA1i8C7gAAQIM999xzlQ7vDz74YCZPnly5tjqB97Zt22b48OEZOXJk9tlnnxx88MFrp3AAAAAAoJ6ZM2fm/vvvz4MPPpjnn38+06dPz6xZs9KpU6f07t07gwYNykc+8pEccMAB6dOnT0uXCwAAwHpAwB0AAFhjL7/8cqXD+6hRo/LKK69Urn1Q4L0oiixZsmTtFQsAAAAAAAAAQNUScAcAAJrc5MmTK2H3UaNG5fnnn69cWz7wXhRFamtrW6JMAAAAAAAAAACqjIA7ADSD1157La+++mpmzpyZuXPnpmvXrunRo0cGDBiQzTbbrKXLA1jrpk2bllGjRuW6667LDTfcUOnkLuAOAAAAAAAAAMCy2rZ0AQCwrrjvvvty2WWX5cEHH8ybb765ynn9+vXLyJEjc/rpp2ffffddewUCtIDXX389DzzwQKWT+wsvvNDSJQEAAAAAAAAAUMV0cAeANfTMM8/klFNOybhx45Ikq/PSWhRFkmSnnXbKVVddlW233bY5SwRYayZMmFAv0D5p0qSVzlv270od3AEAAAAAAAAAWErAHQDWwB/+8Id84QtfyOLFi1OWZSW4nqw86L6y6x06dMill16ak08+ufkLBmhizz33XEaNGpUHHnhghW+wWPr3XFEU9f5OrKmpydChQ7P33ntXfvr167fWawcAAACA9V1Zlvn3v/+dV199NXPmzMnChQtXq5HP8nzGAQAAQFMScAeARrr55ptz3HHHpba2thJcX/qyuvnmm2f77bdP796907lz58yfPz/Tpk3L+PHj89prryVJvXvatGmTG264IYcffnjLPAzAaijLMuPGjasE2h966KFMnz693vWVad++fUaMGFEJs++5557p1q3b2iobAAAAAFjObbfdliuvvDJ33XVXFi5cuMbr+YZGAAAAmpKAOwA0wvTp07PFFltkzpw5lc7EG2ywQc4666yceuqp+dCHPrTKeydMmJArr7wyP//5zytvGpdlmW7duuWll15Kr1691tZjALyv2trajB07NqNGjcqoUaMyevTozJkzp3J9Vf+U6Nq1a3bfffdKoH3XXXdNhw4d1lbZAAAAAMAqTJ06NSeeeGLuueeeJKt+j291LP18pCgKAXcAAACalIA7ADTCWWedlV/84heVN2+HDRuWW2+9NQMGDFjtNSZNmpTDDz88//znP5O890bwl7/85fzkJz9prrIB3teiRYvyyCOPVALtY8aMqde9aVX/dOjTp0/22muvSqB9hx12SE1NzdoqGwAAAABYDTNmzMhee+2Vf//735VgerJmIfckAu4AAAA0OQF3AGigsiyz8cYbZ/r06SnLMv3798/48ePTrVu3Bq81a9as7Ljjjnn11VdTlmV69+6dKVOmNEPVAB9sgw02yOLFiyvjVf1TYdCgQZUw+957750hQ4asrRIBAAAAgEY69dRTc9VVV9ULtnfr1i0HHnhghg0bll69eqVTp06NWvuUU05pylIBAABYzwm4A0ADPfroo9l9992TvNeV5LrrrsvRRx/d6PVuvPHGHHvssZX1xowZk1122aVJagVoiJqamso3Uyx7bujQofUC7f369WvBKgEAAACAhpoxY0Y23njj1NXVVbq3X3DBBTn//PPToUOHli4PAAAA6mnb0gUAQGvz4osvVo67dOmSww8/fI3WO+yww9K1a9fMnTs3SfLCCy8IuAMtriiK7LTTTjn//PNzyCGHZIMNNmjpkgAAAACARrr33ntTW1uboihSFEUuvPDCfOtb32rpsgAAAGClalq6AABobaZMmZLkvfDnwIED07btmv2+WLt27TJw4MAV1gdoKUu/ovjJJ5/Mcccdl+7du2e33XbL17/+9fzf//1fZs2a1bIFAgAAAAAN8tprryVJyrJMx44d87Wvfa2FKwIAAIBV08EdABqotra2ctymTZsmWXPZderq6ppkTYCG2mKLLTJhwoQVzr/77rsZO3Zsxo4dm4svvjhFUWTbbbfN3nvvnX322Sd77713+vXr1wIVAwAAAACrY/HixUnea26x5ZZb+sZGAAAAqpqAOwA0UJ8+fZK81+Vk0qRJKcuy0u24MZaus9RGG220xjUCNMaLL76YN998M6NGjar8PPfccynLMmVZJnnvA7C6uro888wzeeaZZ/Kb3/wmSTJ48OB6gfctttiiJR8FAAAAAFjGxhtvXDle02+mBQAAgOZWlEuTKgDAahk1alT23XffJO8FPe+8884ccMABjV7vnnvuyYEHHlhZ77777ss+++zTFKUCrLEZM2bkwQcfzKhRo/LAAw9k/Pjx9b7JoiiKeuH3pfr27VsJvO+zzz4ZOnToWq8dAAAAAHjPs88+m2HDhiV5r9HO22+/3cIVAQAAwKoJuANAA7377rvp3bt35s2bl7Iss91222Xs2LFp165do9baZZddMn78+CRJ165dM336dN1TgKo1d+7cjB49utLh/fHHH698vXGy6sB79+7ds9dee1VC78OHD0+bNm3Wev0AAAAAsL4aOnRonnvuuRRFkUcffTQjRoxo6ZIAAABgpQTcAaARTjrppFxzzTWV8OaBBx6Y66+/Pl26dFntNRYsWJDjjjsut99+e5L3gqAnnnhi/vCHPzRLzQDN4Z133skjjzxS6fD+yCOPZOHChSudu2zgvVOnTtltt90qgfel34wBAAAAADSPG2+8Mccee2yKoshBBx1U+XwCAAAAqo2AOwA0wsSJE7P11lvn3XffTVmWKYoim2yySb797W/nk5/8ZDp16rTKexcsWJDrrrsuF1xwQSZPnpwkKcsyHTp0yPPPP5+BAweupacAaHpLlizJ2LFjKx3eR48enTlz5qx07tLAe1EUWbJkydosEwAAAADWS2eccUauuOKKFEWRs88+Oz/+8Y9buiQAAABYgYA7ADTST3/605xzzjkpiiJLX06LokinTp2y8847Z7vttkvv3r3TuXPnzJ8/P9OnT8/48eMzduzYLFiwoBKMX+onP/lJvvzlL7fU4wA0i7IsM27cuEqH94ceeijTp0+vd70oitTW1rZglQAAAACwfijLMv/xH/+Ryy67LEVRZO+9986FF17oGxYBAACoKgLuALAGvvWtb+V73/teJai+bNB9VZads/T4W9/6Vi666KJmrhagZSxevDiPPvpoHnjggdx///25//77K3//CbgDAAAAwNr317/+NWeffXbefvvtJEmPHj2y4447ZqONNkrHjh0btFZRFLnyyiubo0wAAADWUwLuALCG/u///i9nnHFG3n777RWC7cu+zC57ben5jTfeOJdffnk+8YlPrJ1iAdaCBQsW5OGHH86oUaMyatSoPPbYY1m0aNFK5wq4AwAAAMDaNWvWrPzP//xPrrjiisyaNaty/v2a96yK9/cAAABoDgLuANAEFi5cmKuvvjpXXnllnnzyyfd9I7dNmzYZPnx4TjvttJxwwgnZYIMN1mKlAE1vzpw5efDBByuB9ieffDJLliypXP+gX/bxARgAAAAArB2PPPJIjjrqqErn9jUl4A4AAEBzEHAHgCY2f/78PP7445k0aVJmzpyZefPmpUuXLunRo0cGDBiQESNGpHPnzi1dJkCjTZs2rRJmHzVqVJ5++unU1dVVrn9QoD1JBgwYkJEjR1Z+Bg8evHaKBwAAAID11L/+9a/stttumTNnTpL33rtririAgDsAAABNTcAdAAB4X2+88UZGjRqVBx54IKNGjcq//vWvyrXl/zmxqkD7lltumX322acSaN98882bv3AAAAAAoGL//ffPfffdV3kPryzLfOxjH8thhx2WoUOHplevXunUqVOj1h4wYEBTlgoAAMB6TsAdAACo55VXXqkXaH/llVcq11bVnX35a9tss029QHvfvn2bv3AAAAAAYKVeeOGFbL311pWu7T179sxNN92UffbZp6VLAwAAgBW0bekCAACA6nDCCSfkwQcfzOTJkyvnlg+0L9vdaem1mpqaDBs2LCNHjsw+++yTffbZJ7179167xQMAAAAAqzR69Ogk772vVxRFfvvb3wq3AwAAULUE3AEAgCTJtddeW+nglKw60N6mTZvsuOOOlUD73nvvne7du7dU2QAAAADAB3j77bcrx927d8/RRx/dgtUAAADA+xNwB4AmUpZl7rrrrowaNSqPPPJIXn311cycOTNz585N165d06NHjwwYMCC77bZbRo4cmY9+9KMtXTLASi0NuS8NtLdr1y4jRozIyJEjM3LkyOy5557p0qVLC1cJAAAAAKyurl27Jnnvvb/BgwdXGlsAAABANSrKpakVAKBRyrLML37xi/z0pz/NpEmT6p1f3rJvGA8cODBnn312zjzzTG8kA1WhpqYmSdKxY8fssssulUD77rvvng022KCFqwMAAAAAGutvf/tbjjzyyBRFkaFDh2b8+PEtXRIAAACskoA7AKyB1157LZ/+9Kfz8MMP1wu0v19gffl5e+65Z6655ppsvvnmzVorwAf57ne/m5EjR2bXXXdN+/btW7ocAAAAAKCJvPHGGxkwYEBqa2vTtWvXTJ8+PW3b+sJ3AAAAqpOAOwA00ltvvZU999wzEydOTFmWlVD7si+tNTU12WCDDbJw4cLU1dVVzi8/d4sttshDDz2UjTfeeC0+AQAAAAAAsL445JBD8ve//z1FUeSWW27JoYce2tIlAQAAwEoJuANAI5Rlmd122y1jx46tF1bffPPNc9JJJ2X//ffP9ttvn549e1bumTFjRsaPH5977703V199dV599dUURVEJue+6664ZM2ZMizwPAAAAAACwbnvkkUey9957p66uLkOGDMnYsWPTpUuXli4LAAAAViDgDgCN8Mc//jGf+cxnKgH1du3a5Tvf+U7OOeec1fpKzyVLluSnP/1pvvnNb+bdd9+tdIC/6qqrctJJJ62FJwAAAAAAANY3v/nNb/KlL30pSbLXXnvluuuu8+2yAAAAVB0BdwBohO233z7PPPNMJdx+yy235OCDD27wOnfeeWcOPfTQ1NbWpizLDBs2LOPHj2+GigEAAAAAAJLrr78+Z5xxRubMmZMePXrki1/8Yo455pgMGzas8q21AAAA0JIE3AGggV5//fX079+/8ibv+eefn+9973uNXu8b3/hGfvCDHyRJiqLIpEmTstlmmzVJrQAAAAAAAEkyePDgyvGsWbMya9asJKl83tGuXbv07NkzHTt2bNC6RVFkwoQJTVYnAAAACLgDQAPdeOONOfbYY5Mkbdq0yWuvvZa+ffs2er233norm222WZa+JF933XU5+uijm6RWAAAAAACAJKmpqUlRFCnLsl6n9jWNDBRFkdra2jUtDwAAACpqWroAAGht3n777STvvWE7cODANQq3J0nfvn0zaNCgyhvIS9cHAAAAAABoasuG25eOG/sDAAAAzaFtSxcAAK3N7NmzK8c9e/ZskjV79uxZ+frOOXPmNMmaAAAAAAAAS/Xv318oHQAAgFZBwB0AGmhpqL0sy0yZMqVJ1pw6dWrluEePHk2yJgAAAAAAwFITJ05s6RIAAABgtdS0dAEA0Nr07du3cvzqq6/mlVdeWaP1XnnllUycOLHSNWXZ9QEAAAAAAAAAAGB9IuAOAA20xx57pCiKSiD9Rz/60Rqtt/T+sixTFEX22GOPNa4RAAAAAAAAAAAAWiMBdwBooI022ii77LJLkvdC6ZdddlmuuuqqRq119dVX57LLLqsE5nfeeedstNFGTVgtAAAAAAAAAAAAtB4C7gDQCOedd16l43pZlvnc5z6Xr3zlK5kzZ85q3T937tycc845+exnP5vkvaB8kpx//vnNVjMAAAAAAAAAAABUu6JcmqgDABrkoIMOyt13310JuRdFkc6dO+eoo47Kfvvtl+222y69e/dO586dM3/+/EyfPj3jx4/Pvffem5tvvjnz5s2r3JckH/3oR/P3v/+9hZ8KAAAAAAAAAAAAWo6AOwA00pw5czJy5MiMHz++EnJPUgmsv59l55ZlmR122CEPPPBAunbt2qw1AwAAAAAA66Zbb721crznnnumV69ezbbX008/nf/+7/9O8t5nHTfeeGOz7QUAAMD6R8AdANbAzJkzc/rpp+emm26qF2x/v5fXpfOWzjn66KNz2WWXpUePHs1bLAAAAAAAsM6qqampfAZx9913Z7/99nvf+WsSUv/HP/6Rj370o5V7a2trG1k1AAAArKhtSxcAAK1Zjx49csMNN+TGG2/MJZdckjFjxtS7vrLQ+9L/7rHHHvnqV7+aI488cu0VDAAAAAAArLPKslytb5pNkilTpuSWW25JsnrfTgsAAABri4A7ADSBo48+OkcffXSef/75PPDAA3n00UczadKkzJw5M/PmzUuXLl3So0ePDBgwILvttltGjhyZrbfeuqXLBgAAAAAA1iGC6gAAAKwLBNwBoAl9+MMfzoc//OF84QtfaOlSAAAAAAAAAAAAoNWpaekCAAAAAAAAAAAAAAAgEXAHAAAAAAAAAAAAAKBKCLgDAAAAAAAAAAAAAFAV2rZ0AQBQzc4777xMnTq1Mj7uuOPysY99bI3Xvfvuu3PttddWxptsskm++93vrvG6AAAAAAAAAAAA0JoJuAPAKtxwww353//93xRFkSTZdddds//++zfJ2vvvv3/+93//N//4xz8q5/bcc88cfPDBTbI+AAAAAAAAAAAAtEY1LV0AAFSjsixz/vnnV4579OiRm266Ke3atWuS9WtqavKnP/0pvXv3ruxx3nnnNcnaAAAAAAAAAAAA0FoJuAPAStxzzz15+eWXUxRFiqLIN77xjfTt27dJ9+jTp0++//3vpyzLJMmzzz6bBx98sEn3AAAAAAAAAAAAgNZEwB0AVuIPf/hDkvc6q2+++eb5z//8z2bZ5zOf+UwGDx5cGf/+979vln0AAAAAAAAAAACgNRBwB4CVuOuuuyrd248//vi0a9euWfapqanJpz71qSTvhenvuOOOZtkHAAAAAAAAAAAAWgMBdwBYziuvvJJp06alLMskyWGHHdas+x166KGV4ylTpuTVV19t1v0AAAAAAAAAAACgWrVt6QIAoNqMHz++ctyuXbvsvvvuzbrfLrvsknbt2mXJkiVJknHjxqV///7NuicAAAAAALDuGj9+fNq2ff84wLKfhyTJgw8+WGn+szrrAwAAQHMRcAeA5UybNq1y3KdPn2bfryiK9O3bN6+99lqKosjUqVObfU8AAAAAAGDdVJZlvva1rzX4nn333bdB9xRFsdqBeAAAAGiImpYuAACqzcyZM5P8v+D52rDxxhtXjmfMmLFW9gQAAAAAANY9S4Pnq/NTFEXlZ3XvWfoDAAAAzUUHdwBYzpIlSyrH77zzzlrZc9GiRSvdHwAAAAAAoKGKolgr9wAAAEBzEHAHgOV07tw5yXtfxzllypS1suey+yzdHwAAAAAAYHX1799fSB0AAIB1goA7ACxnk002qRxPnz49c+bMyYYbbths+82ZMydTp06tvOncr1+/ZtsLAAAAAABYN02cOLGlSwAAAIAmUdPSBQBAtdlqq60qx3V1dbnzzjubdb+77rordXV1Kctyhf0BAAAAAAAAAABgfSLgDgDL2XbbbdO1a9dKR/W//vWvzbrfsut37tw5Q4cObdb9AAAAAAAAAAAAoFoJuAPAcmpqanLIIYekLMuUZZmbb745jz32WLPsNXbs2Nx0000piiJFUeTggw9OTY2XZwAAAAAAAAAAANZPEnQAsBKnnHJKkqQoipRlmdNPPz2zZ89u0j3mzJmT0047rRKkT5LPfOYzTboHAAAAAAAAAAAAtCZFuTRRBwDUs+OOO+af//xnZbz77rvntttuS7du3dZ47blz5+bjH/94HnrooRRFkSQZNmxYxo0bt8ZrAwAAAAAAAAAAQGulgzsArMIvf/nLSvi8LMs8/PDD2XbbbXP77bev0bp///vfs+2222b06NGVDvFFUeSXv/xlU5QNAAAAAAAAAAAArZaAOwCswp577pkLLrigEkBPkjfeeCOHHnpodt5551x++eV5++23V2utKVOm5Iorrsiuu+6aj3/843n99dcr14qiyDe/+c3stddezfIcAAAAAAAAAAAA0FoUZVmWLV0EAFSz//iP/8ill15ar5t7ksp4k002yY477pg+ffqke/fu6dy5c+bPn5/Zs2dnypQpeeqppzJ58uSV3luWZU4//fRceumla/uxAAAAAAAAAAAAoOoIuAPAavj5z3+er3/963n33Xcr55Z9CV0aWF+Zlc0ryzLt2rXLD3/4w3zlK19p+oIBAAAAAAAAAACgFRJwB4DV9OSTT+a0007LuHHjkqwYal/ZS+qq5uywww657LLLMmLEiOYpFgAAAAAAAAAAAFqhmpYuAABai5122ilPPvlk7rrrrhx00EGpqalJWZaVn+S9QPvSnyT1rtfU1OSggw7KXXfdlSeffFK4HQAAAAAAAAAAAJajgzsANNK8efMyZsyYPPjgg/nXv/6VGTNmZMaMGZk7d266du2anj17pmfPntl6662z9957Z/fdd0+XLl1aumwAAAAAAAAAAACoWgLuAAAAAAAAAAAAAABUhZqWLgAAAAAAAAAAAAAAABIBdwAAAAAAAAAAAAAAqoSAOwAAAAAAAAAAAAAAVUHAHQAAAAAAAAAAAACAqiDgDgAAAAAAAAAAAABAVRBwBwAAAAAAAAAAAACgKgi4AwAAAAAAAAAAAABQFQTcAQAAAAAAAAAAAACoCgLuAAAAAAAAAAAAAABUBQF3AAAAAAAAAAAAAACqgoA7AAAAAAAAAAAAAABVQcAdAAAAAAAAAAAAAICqIOAOAAAAAAAAAAAAAEBVEHAHAAAAAAAAAAAAAKAqCLgDAAAAAAAAAAAAAFAVBNwBAAAAAAAAAAAAAKgKbVu6AABYF9XW1uaNN97IrFmzMm/evHTp0iXdu3fPJptskjZt2rR0eQAAAAAAAAAAAFCVBNwBoIm89NJL+d3vfpf7778/48aNy6JFi1aY06FDh+ywww4ZOXJkTj311Gy55ZYtUCkAAAAAAAAAAABUp6Isy7KliwCA1mzSpEn50pe+lNtvv71y7v1eXouiqBwffPDB+cUvfpFBgwY1a40AAAAAAAAAAADQGgi4A8AauPbaa3PGGWdkwYIFlVD7sgH2ZV9mV3W+U6dOufTSS3PCCSeshYoBAAAAAAAAAACgegm4A0AjXXXVVTn99NNTW1ub5L0A+9KX1fbt22errbZKr1690rlz58yfPz/Tp0/Pv//97yxevLgyP3kv7F5TU5PLLrssp556ass8DAAAAAAAAAAAAFQBAXcAaIR//etf2XHHHbNo0aJKsL1t27Y5+eSTc8opp2T33XdP27ZtV7hvyZIlGTNmTK666qpcffXVlXB8WZbp0KFDxo0bl6222mptPw4AAAAAAAAAAABUBQF3AGiEj3/847njjjsq4fYhQ4bkxhtvzLbbbrvaazz77LM56qij8tJLLyV5L+R+8MEH57bbbmuusgEAAAAAAAAAAKCqCbgDQANNmTIlm266aerq6lKWZTbbbLM89dRT6dWrV4PXmjp1aoYPH57JkydXusC//vrr6dOnTzNUDgAAAAAAAAAAANWtpqULAIDW5sEHH0xtbW3KskxRFLnkkksaFW5Pko022igXX3xxlv6+WW1tbUaNGtWU5QIAAAAAAAAAAECrIeAOAA00efLkynGXLl1yxBFHrNF6RxxxRLp27ZqiKFZYHwAAAAAAAAAAANYnAu4A0EALFixIkhRFkYEDB6Zt27ZrtF67du0yaNCgShf3hQsXrnGNAAAAAAAAAAAA0BoJuANAA2200UaV45qapnkpXdq9PUl69+7dJGsCAAAAAAAAAABAayPgDgANtMMOOyRJyrLMxIkTU1dXt0br1dbWZuLEiZXxjjvuuEbrAQAAAAAAAAAAQGsl4A4ADTR8+PAMGDAgSTJnzpzccccda7TeHXfckdmzZ6coivTv3z/Dhw9vijIBAAAAAAAAAACg1RFwB4BG+MY3vlE5PvvsszNv3rxGrTNv3rycffbZlfE3v/nNNa4NAAAAAAAAAAAAWisBdwBohNNPPz1HHnlkyrLMhAkTst9++2Xy5MkNWmPy5MnZb7/9MmHChCTJUUcdlc997nPNUS4AAAAAAAAAAAC0CgLuANBIf/nLX3LqqaemLMs88cQT2XrrrfNf//Vfee655973vueeey7nn39+tt566zz++OMpiiKnnXZarr322rVUOQAAAAAAAAAAAFSnoizLsqWLAIDW5tRTT60c33fffZk0aVKSpCiKJEmvXr0ydOjQ9OrVK506dcqCBQsybdq0PPPMM5kxY0aSpCzLFEWRAQMGZN99913tvYuiyJVXXtl0DwMAAAAAAAAAAABVQsAdABqhpqamEmZf1rIvq425/kGWhuJra2sbfC8AAAAAAAAAAABUu7YtXQAArEs+KLTemFA7AAAAAAAAAAAArC8E3AGgkXwJCgAAAAAAAAAAADQtAXcAaIRXXnmlpUsAAAAAAAAAAACAdU5Raj8LAAAAAAAAAAAAAEAVqGnpAgAAAAAAAAAAAAAAIBFwBwAAAAAAAAAAAACgSgi4AwAAAAAAAAAAAABQFQTcAQAAAAAAAAAAAACoCgLuAAAAAAAAAAAAAABUhbYtXQAArAtqa2vz+OOP56mnnsqrr76aOXPmZOHChSnLskHrFEWRK6+8spmqBAAAAAAAAAAAgOpWlA1N3gEAFbNnz853v/vdXH311Zk6deoarVWWZYqiSG1tbRNVBwAAAAAAAAAAAK2LDu4A0EhjxozJkUcemalTp9br1F4URQtWBQAAAAAAAAAAAK2XDu4A0AjPPvtsdt9998ybNy/Je6H2pnhJ1cEdAAAAAAAAAACA9ZkO7gDQCF/84hczb968Srf2sixz4IEH5vDDD8+wYcPSq1evdOrUqYWrBAAAAAAAAAAAgNZFB3cAaKAJEyZkyy23rHRt79GjR2688cbsu+++LV0aAAAAAAAAAAAAtGo1LV0AALQ2o0ePTvJe1/aiKHLppZcKtwMAAAAAAAAAAEATEHAHgAZ66623Ksc9evTI0Ucf3YLVAAAAAAAAAAAAwLpDwB0AGqhNmzZJkqIoMnjw4BRF0cIVAQAAAAAAAAAAwLpBwB0AGqh///6V43feeacFKwEAAAAAAAAAAIB1S1GWZdnSRQBAazJ58uT0798/ZVmmS5cumTFjRtq2bdvSZQEAAAAAAAAAAECrp4M7ADTQpptumgMOOCBJMn/+/Nx+++0tXBEAAAAAAAAAAACsG3RwB4BGGDduXHbdddcsWbIkQ4YMyeOPP57OnTu3dFkAAAAAAAAAAADQqungDgCNsMMOO+TXv/51kuSFF17IJz7xiUyZMqWFqwIAAAAAAAAAAIDWTQd3AFgD1157bU4//fQsWLAgvXr1yplnnpmjjz46Q4cOTVEULV0eAAAAAAAAAAAAtCoC7gCwhl5++eUceuihef755yuh9nbt2qVnz57p2LFjg9YqiiITJkxojjIBAAAAAAAAAACg6gm4A8AaGD16dM4555w8/vjjSZI1fVktiiK1tbVNURoAAAAAAAAAAAC0Om1bugAAaK1++ctf5uyzz05dXV3KskxRFJUO7o3hd84AAAAAAAAAAABY3wm4A0Aj3HbbbTnrrLPqBduXBtTbt2+fbt26pVOnTi1cJQAAAAAAAAAAALQuRaldLAA02JZbbpkJEyZUgu19+vTJOeeck8MOOyxDhgxJTU1NS5cIAAAAAAAAAAAArY4O7gDQQI888kgl3J4k2223Xf7xj3+kV69eLVwZAAAAAAAAAAAAtG7aywJAAz355JNJkqVfgnLFFVcItwMAAAAAAAAAAEATEHAHgAaaPXt25XjTTTfNiBEjWrAaAAAAAAAAAAAAWHcIuANAA2200UZJkqIosskmm7RwNQAAAAAAAAAAALDuEHAHgAbafPPNK8dz5sxpwUoAAAAAAAAAAABg3VKUZVm2dBEA0JrMnz8//fr1y7x589KuXbtMnTo1G264YUuXBQAAAAAAAAAAAK2eDu4A0ECdO3fOsccemyRZsmRJ/vjHP7ZwRQAAAAAAAAAAALBu0MEdABrhjTfeyPbbb58ZM2ake/fuefjhh7PVVlu1dFkAAAAAAAAAAADQqungDgCNsMkmm+TWW29Nt27dMnPmzHzkIx/J3Xff3dJlAQAAAAAAAAAAQKumgzsANMKrr76aJHnhhRdyxhlnZOLEiSmKInvssUeOPfbYDB8+PBtttFE6duzY4LX79+/f1OUCAAAAAAAAAABAqyDgDgCNUFNTk6Io6p0ry3KFcw1VFEWWLFmyRmsAAAAAAAAAAABAa9W2pQsAgNZs2VD70v/63TEAAAAAAAAAAABoHAF3AFhDAu0AAAAAAAAAAADQNATcAaARTjnllJYuAQAAAAAAAAAAANY5RantLAAAAAAAAAAAAAAAVaCmpQsAAAAAAAAAAAAAAIBEwB0AAAAAAAAAAAAAgCoh4A4AAAAAAAAAAAAAQFUQcAcAAAAAAAAAAAAAoCoIuAMAAAAAAAAAAAAAUBUE3AEAAAAAAAAAAAAAqAptW7oAAFgX1NXV5a677srDDz+cp556KtOmTcusWbOyaNGiBq1TFEUmTJjQTFUCAAAAAAAAAABAdRNwB4A19LOf/SwXX3xxJk+eXO98WZYNXqsoiqYqCwAAAAAAAAAAAFodAXcAaKQFCxbkiCOOyD/+8Y9KmH1pQL0sy9UOqy+d25hAPAAAAAAAAAAAAKxLBNwBoJFOPvnk3HPPPUlSCajX1NSkT58+efPNNyvz+vTpk6IoMnPmzCxatKhyfmkAvnfv3uncufPaLR4AAAAAAAAAAACqUE1LFwAArdHf/va33HTTTSmKIkVRpEePHrniiisye/bsTJ48ud7ca665Jm+88UYWLlyYF198MZdeeml22GGHSsf2Nm3a5Le//W1eeeWVvPLKKy3xOAAAAAAAAAAAAFAVinJpug4AWG177rlnxowZkyTZYIMNMmbMmGy33XaV6zU1NZUO7XfffXf222+/Fdb49a9/na9+9atZvHhx2rRpkz//+c855phj1s4DAAAAAAAAAAAAQBXSwR0AGmjWrFl55JFHKt3bzz777Hrh9tX1xS9+Mddff32KosiSJUtyyimn5KWXXmqGigEAAAAAAAAAAKB1EHAHgAYaM2ZMyrLM0i9BOfXUUxu91ic+8YmcccYZSZJ33nkn3/zmN5ukRgAAAAAAAAAAAGiNBNwBoIEmT55cOe7du3cGDx78vvPfeeed971+zjnnJEnKsszNN9+cOXPmrHmRAAAAAAAAAAAA0AoJuANAA82YMSNJUhRFNt1005XOadeuXeX4gwLuH/rQh7LZZpslSZYsWZKHH364iSoFAAAAAAAAAACA1kXAHQDWQMeOHVd6fsMNN0xZlkmSt9566wPX6devX+X4pZdeapriAAAAAAAAAAAAoJURcAeABurWrVvleO7cuSud06NHj8rxyy+//IFrLlq0qHI8Z86cNagOAAAAAAAAAAAAWi8BdwBooEGDBiVJyrLM1KlTVzpnm222qRw//PDD77veokWL8sILL6QoiiRJp06dmqhSAAAAAAAAAAAAaF0E3AGggbbddtvK8dSpUzNjxowV5uy0005J3gvBP/bYY3nxxRdXud4f//jHvPPOOynLMkmy2WabNXHFAAAAAAAAAAAA0DoIuANAA2266aYZMGBAZfzYY4+tMOeYY45JkhRFkbq6upxyyimZPXv2CvMeeeSRnHvuuZXu7Umy9957N0PVAAAAAAAAAAAAUP0E3AGgEQ444IDK8e23377C9W222aYSVC+KIo8++mg+/OEP56tf/Wouu+yy/PKXv8ynPvWp7LPPPpkzZ07KskxRFDn00EOz8cYbr7XnAAAAAAAAAAAAgGpSlGVZtnQRANDa3HnnnTn44IOTJBtttFFee+21tG/fvt6cp59+OjvvvHPefffdJKmE2Je19FxZlunatWvGjh2bIUOGrJ2HAAAAAAAAAAAAgCqjgzsANMIBBxyQo446Kh//+Mezyy675KmnnlphzrBhw3LDDTekffv29cLtZVlm6e+XLQ23b7jhhrnhhhuE2wEAAAAAAAAAAFiv6eAOAM3sxRdfzHnnnZfbb789ixcvrnetffv2Ofroo/Od73wngwcPbqEKAQAAAAAAAAAAoDoIuAPAWjJ//vw8+eSTefvtt1OWZfr27Zvhw4enU6dOLV0aAAAAAAAAAAAAVAUBdwAAAAAAAAAAAAAAqkJNSxcAAAAAAAAAAAAAAACJgDsAAAAAAAAAAAAAAFVCwB0AAAAAAAAAAAAAgKog4A4Aq7Bo0aLsuuuuGTx4cOXnlltuaZK177jjjmyxxRaVdffaa6/U1tY2ydoAAAAAAAAAAADQWgm4A8Aq/OQnP8nYsWMzceLETJo0Kfvvv3+OOOKIJln74IMPzpFHHpmJEydm4sSJGTNmTH796183ydoAAAAAAAAAAADQWhVlWZYtXQQAVJsFCxZkk002ydy5c1OWZbbeeuv885//TNu2bZtsjyVLlmT48OF55plnUpZlevfuncmTJ6ddu3ZNtgcAAAAAAAAAAAC0Jjq4A8BK3HjjjZkzZ07KskxRFPn+97/fpOH2JGnbtm1+/vOfZ+nvmk2fPj1/+9vfmnQPAAAAAAAAAAAAaE0E3AFgJf70pz8lSYqiyPDhw3P44Yc3yz4jR47M7rvvXhlfddVVzbIPAAAAAAAAAAAAtAYC7gCwnLq6uowePTpFUSRJjjvuuGbd75hjjkmSlGWZUaNGVTq6AwAAAAAAAAAAwPpGwB0AlvPMM89kwYIFlaB5c3VvX+rQQw+tHM+fPz/PPvtss+4HAAAAAAAAAAAA1UrAHQCW8/zzz1eOO3XqlC233LJZ9/vQhz6UTp06VcbPPfdcs+4HAAAAAAAAAAAA1UrAHQCWM3PmzCRJURTZeOON18qe/fr1qxzPmDFjrewJAAAAAAAAAAAA1UbAHQCWszTgniS9e/deK3v26tWrcjxr1qy1sicAAAAAAAAAAABUGwF3AFhOTc3/e3mcPXv2Wtlz2X2KolgrewIAAAAAAAAAAEC1EXAHgOVsuOGGSZKyLDN16tS1suey+3Tt2nWt7AkAAAAAAAAAAADVRsAdAJaz+eabV45nzpyZ1157rVn3e+211zJjxoxK5/Zl9wcAAAAAAAAAAID1iYA7ACxn6NChSVIJnN9+++3Nut8dd9yR5L2O8cvuDwAAAAAAAAAAAOsbAXcAWM7AgQOz6aabVsZXXnlls+637Pp9+/bNoEGDmnU/AAAAAAAAAAAAqFYC7gCwEkcccUTKskxZlnniiSdy7bXXNss+f/nLXzJ27NgURZGiKHLUUUc1yz4AAAAAAAAAAADQGhRlWZYtXQQAVJtnnnkm2223XYqiSFmW6d69ex544IEMGzasSfcYOXJkZs2albIsUxRFnnrqqWy33XZNtgcAAAAAAAAAAAC0Jjq4A8BKDB06NEceeWQleD5r1qwceOCBeeyxx5pk/bFjx+aggw7KzJkzK3scfvjhwu0AAAAAAAAAAACs13RwB4BVeO2117Lddttlzpw5SZKyLNOmTZucffbZOf/889OzZ88Grzlz5sz88Ic/zCWXXJIlS5ZUOsR369Yt48ePT//+/Zv6MQAAAAAAAAAAAKDVEHAHgPfx//1//1+OPPLI1NXVJUml23r79u1z5JFH5vDDD8+IESOyxRZbrHKNl19+OY8//nhuvfXW3HTTTVm0aFFlnaWh+RtvvDGHHXbY2nosAAAAAAAAAAAAqEoC7gDwAa655pp87nOfy7vvvpvkvZB7khRFUZnTpUuXbLTRRunevXs6d+6c+fPnZ/bs2Zk6dWrmzp1bmbfsvWVZpl27drn88stz8sknr8UnAgAAAAAAAAAAgOok4A4Aq+Hxxx/PJz/5ybzyyiuVYPuqXkKXhtdXdW3pvQMHDsxf//rX7Lzzzs1TNAAAAAAAAAAAALQyNS1dAAC0BiNGjMi4cePyla98JZ07d67XiX35n/c7X5ZlOnfunLPOOitPPfWUcDsAAAAAAAAAAAAsQwd3AGig2bNn57e//W1uvvnmPPnkk1myZMkH3tO2bdvstNNOOfLII/P5z38+3bt3b/5CAQAAAAAAAAAAoJURcAeANbBgwYI88sgj+de//pUZM2ZkxowZmTt3brp27ZqePXumZ8+e2XrrrbPbbrulU6dOLV0uAAAAAAAAAAAAVDUBdwAAAAAAAAAAAAAAqkJNSxcAAAAAAAAAAAAAAACJgDsAAAAAAAAAAAAAAFVCwB0AAAAAAAAAAAAAgKog4A4AAAAAAAAAAAAAQFUQcAcAAAAAAAAAAAAAoCoIuAMAAAAAAAAAAAAAUBUE3AEAAAAAAAAAAAAAqAoC7gAAAAAAAAAAAAAAVAUBdwAAAAAAAAAAAAAAqoKAOwAAAAAAAAAAAAAAVUHAHQAAAAAAAAAAAACAqiDgDgAAAAAAAAAAAABAVRBwBwAAAAAAAAAAAACgKgi4AwAAAAAAAAAAAABQFQTcAQAAAAAAAAAAAACoCgLuAAAAAAAAAAAAAABUBQF3AAAAAAAAAAAAAACqQtuWLgAAAAAAAGgaCxcuzJNPPpkXX3wxM2fOzPz587PBBhtkww03TP/+/bPFFltk8ODBqanR/wYAAAAAgOok4A4AAAAAAK1YWZa59dZb89vf/jb33HNPlixZ8r7zu3btmuHDh2fkyJE5+OCDs/POOwu8AwAAAABQNYqyLMuWLgIAAAAAAGi4SZMm5dRTT829997b6DVuueWWHH744U1YVfWYOHFiBg0aVBmfcsopueqqq1quIAAAAAAAPpAO7gAAAAAA0Aq9/PLL2WeffTJ58uQVrrVv3z6DBg1Kt27dsmjRosyYMSOTJ09OXV3dCnP1wQEAAAAAoJoIuAMAAAAAQCvz7rvv5tBDD60Xbi+KIieccEI+//nPZ7fddkvbtvU/Apg3b16eeOKJ3HHHHbnhhhsyYcKEtV02AAAAAAB8IAF3AAAAAABoZX7729/mueeeq4w7duyYG2+8MYcccsgq7+nSpUtGjhyZkSNH5gc/+EEeeOCB/OQnP0mbNm3WRskAAAAAALBaBNwBAAAAAKCV+cMf/lBv/N///d/vG25fmaVhdwAAAAAAqCY1LV0AAAAAAACw+mbMmJEnnniiMq6pqcnpp5/eghUBAAAAAEDT0cEdAAAAAABakcmTJ9cb9+7dO7169VqrNSxYsCCjR4/O5MmTM2XKlLRp0yZ9+vTJNttsk5122ilFUTTJPm+//XYeffTRTJkyJdOmTUtNTU26d++eIUOGZIcddkj37t2bZJ+Gqqury2OPPZYXX3wxU6ZMSW1tbfr06ZNBgwZljz32SLt27Zp0v9ra2jzyyCOZOHFi3nzzzdTW1mbbbbfNJz7xiSbdBwAAAACgGhRlWZYtXQQAAAAAALB6Hn744ey5556Vca9evTJt2rS1svfo0aPzve99L/fee28WLVq00jl9+vTJ5z//+Zx77rnp2rVrg/dYvHhxrrjiilx66aV5+umns6qPMdq0aZPddtstn/nMZ/LpT386nTp1qlwbOHBgJk2a1OC9f//73+czn/nMKq9PmTIl3/72t/OXv/wl06dPX+mcrl275sgjj8y3v/3tDBgwYLX2vfDCC3PRRRdVxvfdd1/23XffzJgxI9///vfzpz/9KW+99Va9e7bffvuMGzdutdYHAAAAAGhNalq6AAAAAAAAYPUt37V8+vTpeemll5p1z/nz5+e4447LXnvtlTvuuGOV4fbkvRD4d77znQwZMiRjx45t0D5jxozJkCFDcuaZZ+af//znKsPtyXtdzUePHp3TTz891113XYP2aYzrrrsuH/rQh/KrX/1qleH2JJk7d27++Mc/ZquttsqvfvWrRu83bty4DBs2LD/+8Y9XCLcDAAAAAKzLBNwBAAAAAKAVGTx4cDp27Fjv3Hnnnfe+YfA1MWXKlIwcOTLXX3/9Ctc222yzDB8+PDvssEN69OhR79pbb72VfffdNw899NBq7fOXv/wlH/nIR1baeb1fv37Zcccds9NOO6V///6Ne5A1cPnll+f444/P3Llz653v0qVLtt122+ywww4r/OLBokWL8qUvfSnf/va3G7zfa6+9loMOOihvvPFG5dymm26a4cOHZ8iQISv8/wcAAAAAWJe0bekCAAAAAACA1dexY8fsv//+ue222yrnbrrppuy///75zne+kz333LPJ9qqrq8unPvWpPPHEE5VzG220Ub7+9a/nxBNPTN++fevNHTNmTC644ILce++9SZIFCxbk+OOPz7hx49KrV69V7jN27NiccsopWbx4ceXchhtumHPPPTcnnnhiBg4cWG/+zJkzM2rUqFx33XW54YYbVljvmmuuycKFC/P222/nxBNPrJw/8MADc+65566yjm233XaFc08++WTOPPPM1NXVVc71798/P/7xj3PYYYelQ4cOSd7rKH/PPffkq1/9ap599tnK3P/+7//OzjvvnIMPPniV+y7v3HPPzZQpU9KmTZucccYZOeecc/KhD32ocn3hwoUZPXr0aq8HAAAAANCaFGVztXQBAAAAAACaxUMPPZS99957pdcGDBiQAw88MLvvvnt22WWXfPjDH05NTeO+0PWHP/xhzj///Mp41113za233po+ffqs8p66urqcddZZ+eUvf1k59+Uvfzk/+9nPVjp/0aJF2XrrrTNx4sTKuW222SZ///vfs/nmm39gjZMnT868efOy1VZbrXBt4sSJGTRoUGV8yimn5KqrrvrANZcqyzLbb799nn766cq57bffPvfff/8KHduXfZ5DDjmkEvJP3utAP2HChGywwQYrvefCCy/MRRddVO9c27Ztc+211+aYY45Z7XoBAAAAANYFjXtHGwAAAAAAaDF77bVXvvWtb6302qRJk3L55Zfn1FNPzdChQ9OtW7dKd/fHH398tfdYsGBBfvSjH1XG/fr1y+233/6+4fYkqampyU9/+tPstttulXO/+93vMmvWrJXO/8Mf/lAv3N6rV6/cc889qxVuT5JNN910peH2pnD33XfXC7d36tQpt9566yrD7UnSoUOH3HTTTfW627/55pv585//3KC9v/a1rwm3AwAAAADrJQF3AAAAAABohb797W/nZz/7WTp27Pi+8+bNm5d77703F1xwQXbeeecMHTo0v/vd71JXV/e+9/3xj3/MjBkzKuMLL7wwPXv2XK3a2rRpk//6r/+qV8Odd9650rk//elP641/9KMfpV+/fqu1T3O74oor6o3PPvvs9O/f/wPv69atWy688MJ65y677LLV3rdTp071/vwAAAAAANYnAu4AAAAAANBKffnLX86LL76YL37xi+nWrdtq3fPss8/mc5/7XHbZZZdMmjRplfNuv/32ynHbtm3zqU99qkG17b///qmp+X8fQzz44IMrzHn99dfz/PPPV8a9evXKCSec0KB9mtOoUaPqjT/72c+u9r3HH398Nthgg8r4iSeeyIIFC1br3o9//OPZcMMNV3svAAAAAIB1iYA7AAAAAAC0Yptttll+9atf5e23386tt96as88+OyNGjEj79u3f974nnngiu+yySyZMmLDCtbIsM3r06Mp4yJAhDQ5cd+7cOb169aqMlw2yL7V86H2//fZLhw4dGrRPc5k4cWLefvvtynjAgAHZYostVvv+DTfcMCNGjKiMa2trM3bs2NW6d5dddln9QgEAAAAA1jFtW7oAAAAAAABgzXXo0CGHHnpoDj300CTJ4sWL8/TTT2f06NG55557cuedd2bx4sX17pkyZUqOPvroPPHEE2nTpk3l/Ntvv50ZM2ZUxs8991yKolij+pZdb6nlw/XLBsJb2vLd7bfbbrsGr7H99tvXC/G/+uqrq3XfoEGDGrwXAAAAAMC6Qgd3AAAAAABYB7Vv3z7Dhw/Pl7/85dx666154403cu6559YLsifJ+PHj85e//KXeuenTpzd5PbNnz17h3PKh9z59+jT5vo01c+bMeuPevXs3eI3l71l+zVVpaLd8AAAAAIB1iYA7AAAAAACsB3r16pUf/ehHueWWW1YIuf/pT3+qN541a1aT719XV7fCublz59Ybd+nSpcn3bax58+bVG3fu3LnBayx/z/LPuyrt2rVr8F4AAAAAAOuKti1dAAAAAAAAsPZ84hOfyCmnnJLf/e53lXMPPfRQvTmdOnWqN95mm23ys5/9bI323WCDDVY417Vr13rj5UPlLWn5sP38+fMbvMby9yz/vAAAAAAArEjAHQAAAAAA1jPHHXdcvYD7vHnzMnv27HTr1i1J0rt373rzy7LMAQcc0OR19OzZs954ypQpTb5HY/Xo0aPeePr06Q1eY9q0ae+7JgAAAAAAK6pp6QIAAAAAAIC1a+DAgSucW7BgQeW4b9++9TquT5o0Ke+++26T17HlllvWGz/++ONNvkdjDRgwoN54/PjxDV5j+XuWXxMAAAAAgBUJuAMAAAAAwHpm/vz5K5zr1atX5bhdu3bZc889K+MFCxbk0UcfbfI69t5773rje++9N4sWLWqy9Wtq6n8MUpblat87cODAbLzxxpXxpEmT8vLLL6/2/XPnzq0X2G/btm1GjBix2vcDAAAAAKyvBNwBAAAAAGA9M3bs2Hrjvn37pn379vXOfexjH6s3/sUvftHkdWyyySYZNmxYZTx9+vRcc801TbZ+586d642X7VK/OkaOHFlvfNVVV632vddee20WLlxYGY8YMSKdOnVq0P4AAAAAAOsjAXcAAAAAAGhFpk2blj//+c+pq6tr1P2LFy9eIax+0EEHrTDvtNNOS/fu3SvjG264Ibfddluj9nw/Z511Vr3x17/+9bz55ptNsvaGG26YNm3aVMavvPJKg+4/7bTT6o0vueSSvP766x9435w5c3LhhRfWO3f66ac3aG8AAAAAgPWVgDsAAAAAALQi8+bNywknnJBhw4blT3/6U70u4R/knXfeyYknnphnn3223vmTTz55hbndunXLeeedVxnX1dXl+OOPz6233tqgep944ol88pOfXOX1k046KVtssUVlPH369BxwwAGrFSRPksmTJ+ff//73Sq+1a9cuQ4YMqYzHjRuXCRMmrGblyQEHHJDtttuuMp4/f34OP/zwzJ49e5X3LF68OMcee2y9kH6/fv3y6U9/erX3BQAAAABYnwm4AwAAAABAK/Tcc8/lpJNOSt++fXP66afn+uuvX2Xn8zfeeCO//vWv8+EPfzjXX399vWtHHXVU9ttvv5Xe9/Wvfz2HHHJIZTx37twcccQROeqoo3Lvvfdm0aJFK9zzzjvv5LHHHsv//M//ZPjw4RkxYkSuu+66VT5H+/bt89e//jUdOnSo92xDhw7N9773vUyaNGmFe2bNmpW//e1v+fSnP53BgwdnzJgxq1z/wAMPrBzX1tZmn332yUUXXZSbb745d999d+65557Kz/J/fkVR5Pe//33atWtXOffkk09mhx12yI033pjFixdXztfV1eXuu+/OiBEjctddd9Vb53e/+106duy4yhoBAAAAAPh/irIsy5YuAgAAAAAAWD0TJ07MoEGDVnm9V69e6d27d7p375533nknb775ZqZMmbLSubvuumvuuuuubLjhhqtcb/bs2TniiCNy//33r3CtQ4cOGTBgQHr06JF33nkns2bNyuuvv57a2toV5n7QxxHXXXddTj755JWG5jfddNNsvPHGKYoiU6dOzWuvvVZvvd///vf5zGc+s9J1X3jhhWy//fZ555133nf/91vn8ssvzxe+8IXU1dXVO9+1a9cMHDgwbdq0yaRJkzJz5swV7r3oootywQUXvO++F154YS666KLK+L777su+++77gfUCAAAAAKyL2rZ0AQAAAAAAwOrr0qVLtt9++4wfP36l16dPn57p06e/7xo1NTU544wz8qMf/Shdu3Z937ndunXL3XffnfPOOy8///nPs2TJksq1RYsW5YUXXvjAmjfffPMPnHPcccdlk002yfHHH5/XX3+93rXJkydn8uTJH7jGygwZMiRXX311PvvZz2bevHmNWuP0009Pt27dctppp2Xu3LmV83Pnzs3TTz+90ns6dOiQiy++OGeeeWaj9gQAAAAAWF/VtHQBAAAAAADA6uvdu3fGjRuXCRMm5JJLLsmhhx6aHj16rNa9/fr1y1lnnZVx48blN7/5zQeG25dq27ZtLr744vz73//OGWeckT59+nzgPQMHDswZZ5yRu+66KxMnTlytffbaa6+8+OKLufjii7PVVlu979z27dvngAMOyNVXX53jjz/+fecec8wxeeGFF/KDH/wgBx10UDbffPN06dIlRVGsVl3JewH8l156KWeeeWZ69uy5ynldu3bNySefnH/961/C7QAAAAAAjVCUH/SdoAAAAAAAQFUryzKTJk3KCy+8kFdffTWzZ8/OwoUL06lTp3Tt2jWbbLJJtt9++2y22WZNtt+zzz6bZ599NtOmTcusWbPSoUOHdOvWLYMGDco222yTTTbZZI33mTRpUsaOHZspU6Zk5syZ6dChQ3r27JmtttoqO+ywQzp37twET9NwtbW1eeyxx/Liiy9mypQpqaury0YbbZTBgwdnjz32SLt27VqkLgAAAACAdYGAOwAAAAAAAAAAAAAAVaGmpQsAAAAAAAAAAAAAAIBEwB0AAAAAAAAAAAAAgCoh4A4AAAAAAAAAAAAAQFUQcAcAAAAAAAAAAAAAoCoIuAMAAAAAAAAAAAAAUBUE3AEAAAAAAAAAAAAAqAoC7gAAAAAAAAAAAAAAVAUBdwAAAAAAAAAAAAAAqoKAOwAAAAAAAAAAAAAAVUHAHQAAAAAAAAAAAACAqiDgDgAAAAAAAAAAAABAVRBwBwAAAAAAAAAAAACgKgi4AwAAAAAAAAAAAABQFQTcAQAAAAAAAAAAAACoCgLuAAAAAAAAAAAAAABUBQF3AAAAAAAAAAAAAACqgoA7AAAAAAAAAAAAAABVQcAdAAAAAAAAAAAAAICqIOAOAAAAAAAAAAAAAEBVEHAHAAAAAAAAAAAAAKAqCLgDAAAAAAAAAAAAAFAVBNwBAAAAAAAAAAAAAKgKAu4AAAAAAAAAAAAAAFQFAXcAAAAAAAAAAAAAAKqCgDsAAAAAAAAAAAAAAFVBwB0AAAAAAAAAAAAAgKog4A4AAAAAAAAAAAAAQFUQcAcAAAAAAAAAAAAAoCoIuAMAAAAAAAAAAAAAUBUE3AEAAAAAAAAAAAAAqAoC7gAAAAAAAAAAAAAAVAUBdwAAAAAAAAAAAAAAqoKAOwAAAAAAAAAAAAAAVUHAHQAAAAAAAAAAAACAqiDgDgAAAAAAAAAAAABAVRBwBwAAAAAAAAAAAACgKgi4AwAAAAAAAAAAAABQFQTcAQAAAAAAAAAAAACoCgLuAAAAAAAAAAAAAABUBQF3AAAAAAAAAAAAAACqgoA7AAAAAAAAAAAAAABVQcAdAAAAAAAAAAAAAICqIOAOAAAAAAAAAAAAAEBVEHAHAAAAAAAAAAAAAKAqCLgDAAAAAAAAAAAAAFAVBNwBAAAAAAAAAAAAAKgKAu4AAAAAAAAAAAAAAFQFAXcAAAAAAAAAAAAAAKqCgDsAAAAAAAAAAAAAAFVBwB0AAAAAAAAAAAAAgKog4A4AAAAAAAAAAAAAQFUQcAcAAAAAAAAAAAAAoCoIuAMAAAAAAAAAAAAAUBUE3AEAAAAAAAAAAAAAqAoC7gAAAAAAAAAAAAAAVIX/HwqIFHsRvT9cAAAAAElFTkSuQmCC"', 'image', '{"params": {"region": "Wadi Fira"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}', 'Recipe Manager', 'matt', 'matt', '2024-07-11 00:36:42.292537', 'approved', 'matt', '2024-07-11 00:36:42.292537+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('c6354e0c-28f6-4ba5-b2aa-69f25285cb14', ' +','"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"','image','{"params": {"country_code": "TCD", "start_date": "2008-01-01"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx", "time_period": {"start": "2008-01-01", "end": ""}}','Recipe Manager','matt','matt','2024-06-13 22:22:13.38238','approved','matt','2024-06-13 22:22:13.38238+00','',''); +INSERT INTO public.recipe ("custom_id","function_code","description","openapi_json","datasets","python_packages","used_recipes_list","sample_call","sample_result","sample_result_type","sample_metadata","source","created_by","updated_by","last_updated","approval_status","approver","approval_latest_update","locked_by","locked_at") VALUES + ('c6354e0c-28f6-4ba5-b2aa-69f25285cb14',' import sys import os import requests @@ -2854,191 +1805,198 @@ def get_time_period(adm0_code): return start_period, end_period -', 'plot population pyramids by age for a country using HDX data as an image', '{}', '{HAPI}', NULL, NULL, ' params = {''adm0_code'': ''TCD''} # Example parameters, replace as needed +','plot population pyramids by age for a country using HDX data as an image','{}','{HAPI}',NULL,NULL,' params = {''adm0_code'': ''TCD''} # Example parameters, replace as needed distinct_age_ranges = get_distinct_age_ranges(**params) print(''DEBUG: Distinct Age Ranges:'', distinct_age_ranges) result = plot_population_pyramid(**params) -', '"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"', 'image', '{"params": {"adm0_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/5e60290d-0a82-48e2-9454-812b01c7d9d4", "data_url": "https://data.humdata.org/dataset/5e60290d-0a82-48e2-9454-812b01c7d9d4/resource/56452d47-7f29-474d-a13c-0bbec70034db/download/tcd_admpop_adm2_2021.csv", "time_period": {"start": "2021-01-01", "end": "2024-12-31T23:59:59"}}', 'Recipe Manager', 'matt', 'matt', '2024-07-11 00:36:42.292537', 'approved', 'matt', '2024-07-11 00:36:42.292537+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('85c023b7-e2ec-44b6-ba7f-624a11be27c4', '# filename: plot_population_by_admin.py +','"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"','image','{"params": {"adm0_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/5e60290d-0a82-48e2-9454-812b01c7d9d4", "data_url": "https://data.humdata.org/dataset/5e60290d-0a82-48e2-9454-812b01c7d9d4/resource/56452d47-7f29-474d-a13c-0bbec70034db/download/tcd_admpop_adm2_2021.csv", "time_period": {"start": "2021-01-01", "end": "2024-12-31T23:59:59"}}','Recipe Manager','matt','matt','2024-07-11 00:36:42.292537','approved','matt','2024-07-11 00:36:42.292537+00','',''), + ('07d104d2-882b-4cd4-9dde-37a0d3d19664','# filename: food_security.py +import sys import os -import json +import requests import pandas as pd +from skills import * import geopandas as gpd from shapely import wkb -from matplotlib import pyplot as plt from dotenv import load_dotenv -import psycopg2 +import skills -# Load the environment variables +# Load environment variables from .env file load_dotenv() -POSTGRES_DATA_HOST = os.getenv(''POSTGRES_DATA_HOST'') -POSTGRES_DATA_PORT = os.getenv(''POSTGRES_DATA_PORT'') -POSTGRES_DATA_DB = os.getenv(''POSTGRES_DATA_DB'') -POSTGRES_DATA_USER = os.getenv(''POSTGRES_DATA_USER'') -POSTGRES_DATA_PASSWORD = os.getenv(''POSTGRES_DATA_PASSWORD'') +def get_region_code(region_name: str) -> str: + '''''' + Get the region code for a given region name. + '''''' + query = f'''''' + SELECT code + FROM hapi_metadata_admin1 + WHERE name = ''{region_name}'' + '''''' + print(''SQL Query:'', query) + rows = skills.execute_query(query) -def get_data_from_db(sql, params): - """ - Connect to the PostgreSQL database and fetch data based on the provided SQL query and parameters. - :param sql: SQL query string - :param params: Parameters for the SQL query - :return: List of rows fetched from the database - """ - connection = psycopg2.connect( - host=POSTGRES_DATA_HOST, - port=POSTGRES_DATA_PORT, - database=POSTGRES_DATA_DB, - user=POSTGRES_DATA_USER, - password=POSTGRES_DATA_PASSWORD - ) - cursor = connection.cursor() - cursor.execute(sql, params) - rows = cursor.fetchall() - cursor.close() - connection.close() - return rows + if rows: + return rows[0][0] + else: + return None -def get_country_name(adm0_code): - """ - Fetch the country name based on the ISO3 country code (adm0_code). - :param adm0_code: ISO3 country code - :return: Country name - """ - sql = ''SELECT DISTINCT name FROM hapi_metadata_location WHERE code = %s'' - rows = get_data_from_db(sql, [adm0_code]) +def get_sector_types() -> list: + '''''' + Fetch all available sector types. + '''''' + query = '''''' + SELECT DISTINCT name + FROM hapi_metadata_sector + '''''' + print(''SQL Query:'', query) + rows = skills.execute_query(query) + + return [row[0] for row in rows] if rows else [] + + +def get_country_name(adm0_code: str) -> str: + '''''' + Get the full country name for a given country code. + '''''' + query = f'''''' + SELECT name + FROM hapi_metadata_location + WHERE code = ''{adm0_code}'' + '''''' + print(''SQL Query:'', query) + rows = skills.execute_query(query) + if rows: return rows[0][0] - return ''Unknown Country'' + else: + return None -def get_attribution_and_time_period(adm0_code): - """ - Get the attribution URL and time period for a given country code. - :param adm0_code: ISO3 country code - :return: Tuple containing attribution URL, data URL, start period, and end period - """ - sql = '''''' - SELECT DISTINCT resource_hdx_id, reference_period_start, reference_period_end - FROM hapi_population_social_population - WHERE adm0_code = %s AND latest = TRUE - AND gender = ''all'' - AND age_range = ''all'' - AND adm1_code IS NOT NULL +def get_attribution(adm0_code: str, sector: str, adm1_code: str): + query = f'''''' + SELECT distinct resource_hdx_id + FROM hapi_coordination_context_operational_presence c + WHERE c.adm0_code = ''{adm0_code}'' + AND c.adm1_code = ''{adm1_code}'' + AND c.latest = TRUE + AND c.sector_name = ''{sector}'' '''''' - rows = get_data_from_db(sql, [adm0_code]) - if not rows: - return None, None, None, None - resource_hdx_id = rows[0][0] - start_period = rows[0][1] - end_period = rows[0][2] - sql = ''SELECT hdx_link, download_url FROM hapi_metadata_resource WHERE hdx_id = %s'' - resource_rows = get_data_from_db(sql, [resource_hdx_id]) - if not resource_rows: - return None, None, start_period, end_period - hdx_url = resource_rows[0][0] - data_url = resource_rows[0][1] - return hdx_url, data_url, start_period, end_period - + data = execute_query(query) + if not data: + print(''No data found for given parameters.'') + resource_id = data[0][0] + hdx_url, data_url = get_hdx_dataset_url(resource_id) -def generate_population_map(adm0_code, admin_level): - """ - Generate a population map for a given country code (adm0_code) and admin level (admin_level). - :param adm0_code: ISO3 country code - :param admin_level: Admin level to plot (''admin1'' or ''admin2'') - :return: JSON string with the file path of the generated map and metadata - """ - country_name = get_country_name(adm0_code) - title = f''Population by {admin_level.capitalize()} for {country_name} ({adm0_code})'' + return hdx_url, data_url - # Determine the admin level columns - admin_code_col = ''adm1_code'' if admin_level == ''admin1'' else ''adm2_code'' - admin_name_col = ''adm1_name'' if admin_level == ''admin1'' else ''adm2_name'' - # SQL to get population data and geometry for the specified country - sql = f'''''' - SELECT p.{admin_code_col}, p.population, s.geometry - FROM hapi_population_social_population p - JOIN hdx_shape_files s ON p.{admin_code_col} = s.{admin_code_col} - WHERE p.adm0_code = %s AND p.latest = TRUE - AND gender = ''all'' - AND age_range = ''all'' - AND p.{admin_code_col} IS NOT NULL +def get_time_period(adm0_code: str, sector: str, adm1_code: str): + query = f'''''' + SELECT DISTINCT reference_period_start, reference_period_end + FROM hapi_coordination_context_operational_presence c + WHERE c.adm0_code = ''{adm0_code}'' + AND c.adm1_code = ''{adm1_code}'' + AND c.latest = TRUE + AND c.sector_name = ''{sector}'' '''''' + data = execute_query(query) + if not data: + print(''No data found for given parameters.'') + start_period = data[0][0] + end_period = data[0][1] - print(''DEBUG INFO - SQL Executed:'', sql) - rows = get_data_from_db(sql, [adm0_code]) - print(''DEBUG INFO - Length of data is:'', len(rows)) + return start_period, end_period - if len(rows) == 0: - return json.dumps({''error'': ''No data found for the given country code.''}) - # Convert the data into a DataFrame - df = pd.DataFrame(rows, columns=[admin_code_col, ''population'', ''geometry'']) +def get_organizations_by_sector_and_region(adm0_code: str, sector: str, adm1_code: str) -> list: + '''''' + Fetch a list of organizations for a specified sector and region in a country. + + :param adm0_code: ISO3 code for the country + :param sector: Sector name + :param adm1_code: Administrative level 1 code + :return: List of organizations + '''''' + if adm1_code is None: + print(''Invalid region code:'', adm1_code) + return [] - # Convert the population to millions - df[''population''] = df[''population''] / 1_000_000 + if sector not in get_sector_types(): + print(f"Invalid sector: {sector}") + return [] - # Convert the ''geometry'' column into a GeoSeries - df[''geometry''] = df[''geometry''].apply(lambda x: wkb.loads(x, hex=True)) + query = f'''''' + SELECT DISTINCT c.org_name, c.adm0_code, c.adm1_code + FROM hapi_coordination_context_operational_presence c + WHERE c.adm0_code = ''{adm0_code}'' + AND c.adm1_code = ''{adm1_code}'' + AND c.latest = TRUE + AND c.sector_name = ''{sector}'' + '''''' + print(''SQL Query:'', query) + rows = skills.execute_query(query) - # Convert the DataFrame into a GeoDataFrame - gdf = gpd.GeoDataFrame(df, geometry=''geometry'') + organizations = [row[0] for row in rows] - # Plot the map - fig, ax = plt.subplots(1, 1, figsize=(12, 10)) - map = gdf.plot(column=''population'', ax=ax, legend=True, cmap=''OrRd'') + # COnvert organizations into markdown table + organizations = [(row[0], row[1], row[2]) for row in rows] + organizations = pd.DataFrame(organizations, columns=[''Organization'', ''Country'', ''Region'']) + organizations = organizations.to_markdown(index=False) - # Get the colorbar - colorbar = map.get_figure().get_axes()[1] + print(''DEBUG INFO - Organizations:'', organizations) + print(''DEBUG INFO - Length of data is:'', len(organizations)) - # Set the label for the colorbar - colorbar.set_ylabel(''Population (in millions)'') + return organizations - ax.set_title(title) - ax.axis(''off'') - # Save to file - file_path = f''./work/population_map_{adm0_code}_{admin_level}.png'' - plt.savefig(file_path, bbox_inches=''tight'') - plt.close() +def operational_presence_task(params): + adm0_code = params.get(''adm0_code'') + sector = params.get(''sector'') + region_name = params.get(''region'', None) + adm1_code = None + if region_name: + adm1_code = get_region_code(region_name) - # Get attribution and time period - attribution_url, data_url, start_period, end_period = get_attribution_and_time_period(adm0_code) + organizations = get_organizations_by_sector_and_region(adm0_code, sector, adm1_code) + country_name = get_country_name(adm0_code) + attribution, data_url = get_attribution(adm0_code, sector, adm1_code) + start_period, end_period = get_time_period(adm0_code, sector, adm1_code) result = { - ''result'': { - ''type'': ''image'', - ''file'': f''{file_path}'', - ''value'': '''' + "result": { + "type": "text", + "file": "", + "value": f"{organizations}" }, - ''metadata'': { - ''params'': { - ''adm0_code'': f''{adm0_code}'', - ''admin_level'': f''{admin_level}'' + "metadata": { + "params": { + "country": f"{country_name}", + "sector": f"{sector}" }, - ''attribution'': f''{attribution_url}'', - ''data_url'': f''{data_url}'', - ''time_period'': { - ''start'': f''{start_period}'', - ''end'': f''{end_period}'' + "attribution": f"{attribution}", + "data_url": f"{data_url}", + "time_period": { + "start": f"{start_period}", + "end": f"{end_period}" } } } - - print(''OUTPUT:'') + print("OUTPUT:") print(json.dumps(result, indent=4)) return result -', 'plot a map of population by admin1 or admin2 for a country using HAPI data as an image', '{}', '{HAPI}', NULL, NULL, ' params = {''adm0_code'': ''MLI'', ''admin_level'': ''admin1''} - result = generate_population_map(**params) -', '"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"', 'image', '{"params": {"adm0_code": "MLI", "admin_level": "admin1"}, "attribution": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/0bd515ae-613c-400f-a84c-ea203cc529be", "data_url": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/0bd515ae-613c-400f-a84c-ea203cc529be/download/mli_pop_adm1_v2.csv", "time_period": {"start": "2018-01-01", "end": "2018-12-31T23:59:59"}}', 'Recipe Manager', 'matt', 'matt', '2024-07-11 00:36:42.292537', 'approved', 'matt', '2024-07-11 00:36:42.292537+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('1cd0ae66-0095-40de-b94b-30ae30d933ac', ' +','provide a list of organizations providing food security for a region in a country','{}','{HAPI}',NULL,NULL,' params = {''adm0_code'': ''TCD'', ''sector'': ''Food Security'', ''region'': ''Wadi Fira''} + operational_presence_task(params) + + +','{"result": {"type": "text", "file": "", "value": "| Organization | Country | Region |\n|:------------------------------------------------------------------|:----------|:---------|\n| Association des Femmes pour le D\u00e9veloppement Int\u00e9gr\u00e9 | TCD | TD17 |\n| Association Tchadienne pour la Promotion du D\u00e9v\u00e9loppement Int\u00e9gr\u00e9 | TCD | TD17 |\n| BAP | TCD | TD17 |\n| Bureau Consult International | TCD | TD17 |\n| CA17/PREPASS | TCD | TD17 |\n| CARE International | TCD | TD17 |\n| Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement | TCD | TD17 |\n| Croix Rouge Tchadienne | TCD | TD17 |\n| Food and Agriculture Organization | TCD | TD17 |\n| German Development Cooperation | TCD | TD17 |\n| Hebrew Immigrant Aid Society | TCD | TD17 |\n| International Cooperation and Developpment World | TCD | TD17 |\n| KITES | TCD | TD17 |\n| NIRVANA | TCD | TD17 |\n| Programme Alimentaire Mondiale | TCD | TD17 |\n| Secours Catholique et D\u00e9veloppement | TCD | TD17 |\n| UN Refugee Agency | TCD | TD17 |"}, "metadata": {"params": {"country": "Chad", "sector": "Food Security"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}}','text','{"params": {"country": "Chad", "sector": "Food Security"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}','Recipe Manager','matt','matt','2024-06-13 22:22:13.38238','approved','matt','2024-06-13 22:22:13.38238+00','',''), + ('6757e581-4656-4994-82f9-a15a0b4ce5a9',' import sys import os import requests @@ -3046,243 +2004,238 @@ import pandas as pd from skills import * -# filename: food_security_analysis.py +# filename: hapi_metadata_summary.py +import os +import psycopg2 import pandas as pd from dotenv import load_dotenv -from skills import execute_query, get_hdx_dataset_url -import json -# Load environment variables +# Load environment variables from .env file load_dotenv() -# Define reference period start and end -reference_period_start = ''2023-01-01'' -reference_period_end = ''2023-01-31T23:59:59'' +# Database connection details +DB_HOST = os.getenv(''POSTGRES_DATA_HOST'') +DB_PORT = os.getenv(''POSTGRES_DATA_PORT'') +DB_NAME = os.getenv(''POSTGRES_DATA_DB'') +DB_USER = os.getenv(''POSTGRES_DATA_USER'') +DB_PASSWORD = os.getenv(''POSTGRES_DATA_PASSWORD'') -def get_food_security_data(country_code, ipc_phase): +def get_db_connection(): """ - Fetch food security data for a given country and IPC phase. - - Args: - country_code (str): The ISO3 code of the country. - ipc_phase (str): The IPC phase to filter by. - + Establish a connection to the PostgreSQL database. Returns: - pd.DataFrame: DataFrame containing food security data. - """ - query = f""" - SELECT adm1_code, adm1_name, SUM(population_in_phase) as population_in_phase - FROM hapi_food_food_security - WHERE adm0_code = ''{country_code}'' - AND ipc_phase = ''{ipc_phase}'' - AND latest = TRUE - GROUP BY adm1_code, adm1_name - ORDER BY population_in_phase DESC - LIMIT 3 + conn (psycopg2.extensions.connection): Database connection object. """ - print(query) - data = execute_query(query) - - data =pd.DataFrame(data, columns=[''adm1_code'', ''adm1_name'', ''population_in_phase'']) + try: + conn = psycopg2.connect( + host=DB_HOST, + port=DB_PORT, + dbname=DB_NAME, + user=DB_USER, + password=DB_PASSWORD + ) + return conn + except Exception as e: + print(f''Error connecting to the database: {e}'') + return None - return data + return hdx_url -def get_attribution(country_code, ipc_phase): +def load_region_mapping(): """ - Get the attribution URL for a given country and IPC level. - - Args: - country_code (str): The ISO3 code of the country. - ipc_phase (str): The IPC level. - + Load region mapping from the hapi_metadata_admin1 table. Returns: - str: The attribution URL. + dict: Dictionary with region names as keys and codes as values. """ - query = f""" - SELECT DISTINCT resource_hdx_id - FROM hapi_food_food_security - WHERE adm0_code = ''{country_code}'' - AND ipc_phase = ''{ipc_phase}'' - AND latest = TRUE + query = """ + SELECT name, code + FROM hapi_metadata_admin1 """ - data = execute_query(query) - if not data: - print(''No data found for given parameters.'') - return None, None - resource_id = data[0][0] - hdx_url, data_url = get_hdx_dataset_url(resource_id) - return hdx_url, data_url + conn = get_db_connection() + if conn is None: + return {} + try: + df = pd.read_sql_query(query, conn) + return dict(zip(df[''name''], df[''code''])) + except Exception as e: + print(f''Error executing query: {e}'') + return {} + finally: + conn.close() -def get_organizations_in_food_security(country_code, ipc_phase): - """ - Fetch organizations involved in food security in the top 3 regions. +REGION_MAPPING = load_region_mapping() - Args: - country_code (str): The ISO3 code of the country. - ipc_phase (str): The IPC phase to filter by. +def find_tables_with_adm1_column(): + """ + Find tables that have a column named ''adm1_code''. Returns: - pd.DataFrame: DataFrame containing organizations data. + list: List of table names that have the ''adm1_code'' column. """ - top_regions_df = get_food_security_data(country_code, ipc_phase) - if top_regions_df.empty: - print(''No top regions found for given parameters.'') - return pd.DataFrame() - - top_regions = top_regions_df[''adm1_code''].tolist() - top_regions_str = '', ''.join([f"''{region}''" for region in top_regions]) - - query = f""" - SELECT DISTINCT adm1_name, org_name - FROM hapi_coordination_context_operational_presence - WHERE adm0_code = ''{country_code}'' - AND adm1_code IN ({top_regions_str}) - AND latest = TRUE - AND sector_name ilike ''Food Security'' + query = """ + SELECT table_name + FROM information_schema.columns + WHERE column_name = ''adm1_code'' """ - data = execute_query(query) - return pd.DataFrame(data, columns=[''adm1_name'', ''org_name'']), top_regions_df + conn = get_db_connection() + if conn is None: + return [] + try: + df = pd.read_sql_query(query, conn) + return df[''table_name''].tolist() + except Exception as e: + print(f''Error executing query: {e}'') + return [] + finally: + conn.close() -def get_time_period(country_code, ipc_phase): - """ - Get the time period for a given country. +def check_data_for_subnational_region(table_name, adm1_code): + """ + Check if a table has data for a specific subnational region. Args: - country_code (str): ISO3 country code. - ipc_phase (str): The IPC phase to filter by. - + table_name (str): Name of the table. + adm1_code (str): Subnational region code. Returns: - tuple: Start and end period. - """ - query = f""" - SELECT DISTINCT reference_period_start, reference_period_end - FROM hapi_food_food_security - WHERE adm0_code = ''{country_code}'' - AND ipc_phase = ''{ipc_phase}'' - AND latest = TRUE + bool: True if data exists, False otherwise. """ - data = execute_query(query) - if not data: - print(''No data found for given parameters.'') - return '''', '''' - start_period = data[0][0] - end_period = data[0][1] - return start_period, end_period - -def analyze_food_security(country_code, ipc_phase): + query = f""" + SELECT 1 + FROM {table_name} + WHERE adm1_code = %s + LIMIT 1 """ - Main function to analyze food security data and generate a map. + conn = get_db_connection() + if conn is None: + return False + try: + df = pd.read_sql_query(query, conn, params=(adm1_code,)) + return not df.empty + except Exception as e: + print(f''Error executing query: {e}'') + return False + finally: + conn.close() - Args: - country_code (str): The ISO3 code of the country. - ipc_phase (str): The IPC phase to filter by. +def summarize_tables_with_data(region): + """ + Summarize which tables have data for a specific subnational region. + Args: + region (str): Subnational region name or code. Returns: - dict: JSON record containing file path and metadata. + str: Summary of tables with data. """ - food_security_df = get_food_security_data(country_code, ipc_phase) - hdx_url, data_url = get_attribution(country_code, ipc_phase) - start_period, end_period = get_time_period(country_code, ipc_phase) - - organizations_df, top_regions_df = get_organizations_in_food_security(**params) - if not organizations_df.empty: - output = f''Top 3 regions in {country_code} by population in phase {ipc_phase}:\n\n'' - output += top_regions_df.to_markdown(index=False) - output += ''\n\nOrganizations providing food security in these regions:\n\n'' - output += organizations_df.to_markdown(index=False) - else: - print(''No organizations found for the given parameters.'') + adm1_code = REGION_MAPPING.get(region, region) # Use the code if name is not found + tables = find_tables_with_adm1_column() + if not tables: + return ''No tables found with the column adm1_code.'' + summary = ''Tables with data for subnational region (adm1_code: {}):\n\n''.format(adm1_code) + for table in tables: + if check_data_for_subnational_region(table, adm1_code): + summary += f"- {table}\n" + summary if summary.strip() else ''No data found for the specified subnational region.'' result = { "result": { "type": "text", "file": "", - "value": f"{output}" + "value": f"{summary}" }, "metadata": { "params": { - "country_code": f"{country_code}", - "ipc_phase": f"{ipc_phase}" + "region": f"{region}" }, - "attribution": f"{hdx_url}", - "data_url": f"{data_url}", - "time_period": { - "start": f"{start_period}", - "end": f"{end_period}" - } + "attribution": "", + "data_url": "", + "time_period": {} } } print("OUTPUT:") print(json.dumps(result, indent=4)) return result -', 'find and display a table of organizations by region in Chad for food security with IPC phase 3+ using HDX data, showing top 3 regions as text', '{}', '{HAPI}', NULL, NULL, ' params = {''country_code'': ''TCD'', ''ipc_phase'': ''3+''} - result = analyze_food_security(**params) - - -', '{"result": {"type": "text", "file": "", "value": "Top 3 regions in TCD by population in phase 3+:\n\n| adm1_code | adm1_name | population_in_phase |\n|:------------|:-------------|----------------------:|\n| TD14 | Ouaddai | 292780 |\n| TD07 | Lac | 230487 |\n| TD05 | Hadjer-Lamis | 209637 |\n\nOrganizations providing food security in these regions:\n\n| adm1_name | org_name |\n|:-------------|:----------------------------------------------------------------------------|\n| Hadjer-Lamis | Action against Hunger |\n| Hadjer-Lamis | Cooperazione Internazionale |\n| Hadjer-Lamis | German Development Cooperation |\n| Hadjer-Lamis | World Vision International |\n| Lac | Action against Hunger |\n| Lac | Agence de Developpement et de la Formation Proffessionnelle |\n| Lac | Association pour le d\u00e9veloppement des initiatives locales |\n| Lac | Bureau Consult International |\n| Lac | CARE International |\n| Lac | Catholic Relief Services |\n| Lac | Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement |\n| Lac | Croix Rouge Tchadienne |\n| Lac | Diakonie |\n| Lac | Food and Agriculture Organization |\n| Lac | Handicap International - Humanity & Inclusion |\n| Lac | Help Tchad |\n| Lac | Initiative Humanitaire pour le Developpement Local |\n| Lac | International Committee of the Red Cross |\n| Lac | International Rescue Committee |\n| Lac | INTERSOS - Humanitarian Aid Organization |\n| Lac | OHDEL |\n| Lac | Organisation Tchadienne pour le D\u00e9veloppement |\n| Lac | OXFAM |\n| Lac | Programme Alimentaire Mondiale |\n| Lac | SAHKAL pour la Solidarit\u00e9 et d\u00e9veloppement au sahel |\n| Lac | Secours Catholique et D\u00e9veloppement |\n| Lac | SOS Sahel |\n| Lac | SOSSIF |\n| Lac | United Nations Development Programme |\n| Lac | World Vision International |\n| Ouaddai | Action Citoyenne pour l''Information et l''Education au D\u00e9veloppement Durable |\n| Ouaddai | Action contre le changement climatique pour le d\u00e9veloppement |\n| Ouaddai | Action Humanitaire pour le D\u00e9veloppement |\n| Ouaddai | ADD |\n| Ouaddai | Adventist Development and Relief Agency |\n| Ouaddai | A Nassour |\n| Ouaddai | APRODIF |\n| Ouaddai | Association des Femmes pour le D\u00e9veloppement Int\u00e9gr\u00e9 |\n| Ouaddai | Association des T\u00e9moins des Urgences et des Actions de D\u00e9veloppement |\n| Ouaddai | Association pour la promotion du monde rural |\n| Ouaddai | Association Tchadienne pour la Promotion du D\u00e9v\u00e9loppement Int\u00e9gr\u00e9 |\n| Ouaddai | Association Tchadienne pour le D\u00e9veloppement Rural, Social et Economique |\n| Ouaddai | ATTADAMOUN |\n| Ouaddai | Bureau Consult International |\n| Ouaddai | CARE International |\n| Ouaddai | Cercle Humanitaire d''Appui aux Initiatives de Developpe\u00f9ment |\n| Ouaddai | Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement |\n| Ouaddai | Concern Worldwide |\n| Ouaddai | Cooperazione Internazionale |\n| Ouaddai | Croix Rouge Tchadienne |\n| Ouaddai | Echo M\u00e9dical |\n| Ouaddai | Food and Agriculture Organization |\n| Ouaddai | Future Porte du Tchad |\n| Ouaddai | German Development Cooperation |\n| Ouaddai | Hebrew Immigrant Aid Society |\n| Ouaddai | International Cooperation and Developpment World |\n| Ouaddai | KITES |\n| Ouaddai | Lutheran World Federation |\n| Ouaddai | NIRVANA |\n| Ouaddai | Norwegian Refugee Council |\n| Ouaddai | Nour Akoura |\n| Ouaddai | Organisation Humanitaire et de D\u00e9v\u00e9loppement Local |\n| Ouaddai | OXFAM |\n| Ouaddai | Premi\u00e8re Urgence Internationale |\n| Ouaddai | Programme Alimentaire Mondiale |\n| Ouaddai | Secours Catholique et D\u00e9veloppement |\n| Ouaddai | TCHAD SOS |\n| Ouaddai | United Nations Children''s Fund |\n| Ouaddai | United Nations Development Programme |\n| Ouaddai | World Relief Chad |\n| Ouaddai | World Vision International |"}, "metadata": {"params": {"country_code": "TCD", "ipc_phase": "3+"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}}', 'text', '{"params": {"country_code": "TCD", "ipc_phase": "3+"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}', 'Recipe Manager', 'matt', 'matt', '2024-07-11 00:36:42.292537', 'approved', 'matt', '2024-07-11 00:36:42.292537+00', '', ''); -INSERT INTO recipe ("custom_id", "function_code", "description", "openapi_json", "datasets", "python_packages", "used_recipes_list", "sample_call", "sample_result", "sample_result_type", "sample_metadata", "source", "created_by", "updated_by", "last_updated", "approval_status", "approver", "approval_latest_update", "locked_by", "locked_at") VALUES ('83ab2323-e9cc-42c5-bd2d-a68b76146a95', ' -import sys -import os -import requests -import pandas as pd -from skills import * +','provide a text summary of metadata by subnational region using HAPI data as text','{}','{HAPI}',NULL,NULL,' region = ''Wadi Fira'' # Example subnational region name or code + summary = summarize_tables_with_data(region) -# filename: get_all_recipes.py +','{"result": {"type": "text", "file": "", "value": "Tables with data for subnational region (adm1_code: TD17):\n\n- hapi_coordination_context_conflict_event\n- hapi_coordination_context_operational_presence\n- hapi_food_food_price\n- hapi_food_food_security\n- hapi_metadata_admin2\n- hapi_metadata_wfp_market\n- hapi_population_social_population\n- hdx_shape_files\n"}, "metadata": {"params": {"region": "Wadi Fira"}, "attribution": "", "data_url": "", "time_period": {}}}','text','{"params": {"region": "Wadi Fira"}, "attribution": "", "data_url": "", "time_period": {}}','Recipe Manager','matt','matt','2024-06-13 22:22:13.38238','approved','matt','2024-06-13 22:22:13.38238+00','',''), + ('8fc9e346-0f7c-4f4b-8cc0-03c42d7485cd','# filename: population_query.py import os import psycopg2 import pandas as pd from dotenv import load_dotenv -import sys -import json +from skills import * # Load environment variables from .env file load_dotenv() -# Define database connection parameters from environment variables -DB_PARAMS = { - ''host'': os.getenv(''POSTGRES_RECIPE_HOST''), - ''port'': os.getenv(''POSTGRES_RECIPE_PORT''), - ''dbname'': os.getenv(''POSTGRES_RECIPE_DB''), - ''user'': os.getenv(''POSTGRES_RECIPE_USER''), - ''password'': os.getenv(''POSTGRES_RECIPE_PASSWORD'') -} +# Database connection details +DB_HOST = os.getenv(''POSTGRES_DATA_HOST'') +DB_PORT = os.getenv(''POSTGRES_DATA_PORT'') +DB_NAME = os.getenv(''POSTGRES_DATA_DB'') +DB_USER = os.getenv(''POSTGRES_DATA_USER'') +DB_PASSWORD = os.getenv(''POSTGRES_DATA_PASSWORD'') -def get_connection(params=DB_PARAMS): +def get_db_connection(): """ - Establishes a connection to the database using provided parameters. - - :param params: Dictionary containing database connection parameters. - :return: psycopg2 connection object + Establish a connection to the PostgreSQL database. + Returns: + conn: psycopg2 connection object """ - conn = psycopg2.connect(**params) - return conn + try: + conn = psycopg2.connect( + host=DB_HOST, + port=DB_PORT, + dbname=DB_NAME, + user=DB_USER, + password=DB_PASSWORD + ) + return conn + except Exception as e: + print(f''Error connecting to the database: {e}'') + return None -def execute_query(query, params=None): +def get_total_population(country_code): """ - Executes a SQL query and returns the results. - - :param query: SQL query to be executed. - :param params: Parameters to be passed to the SQL query. - :return: List of tuples containing the query results. + Retrieve the total population for a given country using HDX data. + Args: + country_code (str): The ISO3 code of the country. + Returns: + int: Total population of the country. """ - conn = get_connection() + query = f'''''' + SELECT SUM(population) AS total_population + FROM hapi_population_social_population + WHERE adm0_code = ''{country_code}'' + AND gender = ''all'' + AND age_range = ''all'' + AND adm1_code IS NULL + AND adm2_code IS NULL + AND latest = TRUE; + '''''' + print(''Executing SQL query:'') + print(query) + + conn = get_db_connection() + if conn is None: + return None + try: - with conn.cursor() as cursor: - cursor.execute(query, params) - column_names = [desc[0] for desc in cursor.description] - results = cursor.fetchall() - df = pd.DataFrame(results, columns=column_names) - print(f''SQL query executed. Number of records returned: {len(results)}'') - return df + df = pd.read_sql_query(query, conn) + print(f''DEBUG INFO - Length of data is: {len(df)}'') + if not df.empty: + total_population = df.iloc[0][''total_population''] + return int(total_population) if total_population is not None else 0 + else: + return 0 except Exception as e: print(f''Error executing query: {e}'') return None @@ -3290,75 +2243,73 @@ def execute_query(query, params=None): conn.close() -def get_all_recipes(): - """ - Retrieves all recipes from the database. - - :return: DataFrame containing all recipes. +def get_attribution_and_time_period(country_code): """ + Get the attribution URL and time period for a given country. - all_data = None - - for t in [''recipe'', ''memory'']: - query = f'''''' - SELECT - ''{t}'' AS type, - l.document as intent, - r.* - FROM - langchain_pg_embedding l, - {t} r - WHERE - l.custom_id = r.custom_id - '''''' - print(''Executing query to fetch all recipes...'') - data = execute_query(query) - - if data is not None: - # Blank out images and code, too many tokens - for index, row in data.iterrows(): - for s in [''sample_'', '''']: - if f''{s}result'' in row: - if row[f''{s}result_type''] == ''image'': - data.loc[index, f''{s}result''] = ''IMAGE'' - else: - data.loc[index, f''{s}result''] = ''TEXT'' - - # Subset - data = data[[''type'', ''intent'']] + Args: + country_code (str): The ISO3 code of the country. - if all_data is None: - all_data = data - else: - all_data = pd.concat([all_data, data]) + Returns: + tuple: The attribution URL, resource URL, start period, and end period. + """ + query = f'''''' + SELECT DISTINCT resource_hdx_id, reference_period_start, reference_period_end + FROM hapi_population_social_population + WHERE adm0_code = ''{country_code}'' + AND gender = ''all'' + AND age_range = ''all'' + AND adm1_code IS NULL + AND adm2_code IS NULL + AND latest = TRUE; + '''''' + data = execute_query(query) + if not data: + print(''No data found for given parameters.'') + return None, None, None, None + resource_id = data[0][0] + start_period = data[0][1] + end_period = data[0][2] + hdx_url, resource_url = get_hdx_dataset_url(resource_id) + return hdx_url, resource_url, start_period, end_period - #output = data.to_json(orient=''records'') - #output = json.loads(output) - # Convert to a markdown table - output = all_data.to_markdown() +def get_population_with_metadata(country_code): + """ + Main function to get the total population of a provided country along with metadata. + Args: + country_code (str): The ISO3 code of the country. + Returns: + dict: Total population of the country and metadata. + """ + total_population = get_total_population(country_code) + attribution_url, resource_url, start_period, end_period = get_attribution_and_time_period(country_code) result = { "result": { - "type": "text", - "file": "", - "value": f"{output}" + "type": "number", + "file": "", + "value": f"{total_population}" }, "metadata": { - "params": {}, - "attribution": "", - "data_url": "", + "params": { + "country_code": f"{country_code}", + }, + "attribution": f"{attribution_url}", + "data_url": f"{resource_url}", "time_period": { - "start": "", - "end": "" + "start": f"{start_period}", + "end": f"{end_period}" } } } print("OUTPUT:") print(json.dumps(result, indent=4)) - return result + return result -', 'get all recipes', '{}', '{HAPI}', NULL, NULL, ' recipes = get_all_recipes() +','provide the total population of a provided country using HDX data as text','{}','{HAPI}',NULL,NULL,' # Example usage + country_code = ''MLI'' # Replace with the desired country code + get_population_with_metadata(country_code) -', '{"result": {"type": "text", "file": "", "value": "| | type | intent |\n|---:|:-------|:-----------------------------------------------------------------------------------------------------------------------------------------------------|\n| 0 | recipe | plot a line chart of conflict events by month for a country using HDX data as an image |\n| 1 | recipe | plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image |\n| 2 | recipe | plot a line chart of fatalities by month for a country using HDX data as an image |\n| 3 | recipe | plot a line chart of commodity prices monthly relative change for a country from 2008-01-01 using HDX data as an image |\n| 4 | recipe | plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image |\n| 5 | recipe | provide a list of organizations providing food security for a region in a country |\n| 6 | recipe | provide the total population of a provided country using HDX data as text |\n| 7 | recipe | plot population pyramids by age for a country using HDX data as an image |\n| 8 | recipe | plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image |\n| 9 | recipe | plot a map of population by admin1 or admin2 for a country using HAPI data as an image |\n| 10 | recipe | plot a line chart of commodity prices monthly relative change for a country from 2008-01-01 using HDX data as an image |\n| 11 | recipe | List organizations in top 3 states by population in provided IPC Phase in a country, using HAPI data |\n| 12 | recipe | plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image |\n| 13 | recipe | provide a text summary of metadata by subnational region using HAPI data as text |\n| 14 | recipe | get all recipes |\n| 15 | recipe | plot a map of IPC phase data by admin_1 using HDX data as an image |\n| 16 | recipe | get all recipes |\n| 17 | recipe | plot a line chart of conflict events by month for a country using HDX data as an image |\n| 18 | recipe | create a sankey plot of refugee migration by country for Kenya using HAPI data as an image |\n| 19 | recipe | plot a map of population by admin1 or admin2 for a country using HAPI data as an image |\n| 20 | recipe | create a sankey plot of refugee migration by country for Kenya using HAPI data as an image |\n| 0 | memory | plot a line chart of conflict events by month for Chad using HDX data as an image |\n| 1 | memory | plot a scatterplot of food price movements and number of fatalities in TCD from 2008-01-01 using HDXData data, including regression line as an image |\n| 2 | memory | plot a line chart of fatalities by month for Chad using HDX data as an image |\n| 3 | memory | plot a line chart of commodity prices monthly relative change for Chad from 2008-01-01 using HDX data as an image |\n| 4 | memory | plot a bar chart of humanitarian organizations in Wadi Fira by sector using Humanitarian Data Exchange data as an image |\n| 5 | memory | provide a list of organizations providing food security in Wadi Fira, Chad |\n| 6 | memory | provide the total population of Mali using HDX data as text |\n| 7 | memory | plot population pyramids by age for Chad using HDX data as an image |\n| 8 | memory | plot a scatterplot of food price movements and number of fatalities in TCD from 2008-01-01 using HDXData data, including regression line as an image |\n| 9 | memory | plot a map of population by admin1 for Haiti using HAPI data as an image |\n| 10 | memory | plot a line chart of commodity prices monthly relative change for Chad from 2008-01-01 using HDX data as an image |\n| 11 | memory | List organizations in the top 3 states by population in IPC Phase 3+ in Chad, using HAPI data |\n| 12 | memory | plot a bar chart of humanitarian organizations in Wadi Fira by sector using Humanitarian Data Exchange data as an image |\n| 13 | memory | provide a text summary of metadata for Wadi Fira using HAPI data as text |\n| 14 | memory | retrieve all recipes |\n| 15 | memory | plot a map of IPC phase 3 data by admin_1 in Chad using HDX data as an image |\n| 16 | memory | retrieve all recipes |\n| 17 | memory | create a sankey plot of refugee migration by country for Kenya using HAPI data as an image |"}, "metadata": {"params": {}, "attribution": "", "data_url": "", "time_period": {"start": "", "end": ""}}}', 'text', '{"params": {}, "attribution": "", "data_url": "", "time_period": {"start": "", "end": ""}}', 'Recipe Manager', 'matt', 'matt', '2024-07-11 00:36:42.292537', 'approved', 'matt', '2024-07-11 00:36:42.292537+00', '', ''); +','{"result": {"type": "number", "file": "", "value": "17907114"}, "metadata": {"params": {"country_code": "MLI"}, "attribution": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c", "data_url": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/6f243ba2-4d4a-4663-a7c4-e917dbbde73a/download/mli_pop_adm0_v2.csv", "time_period": {"start": "2018-01-01", "end": "2018-12-31T23:59:59"}}}','text','{"params": {"country_code": "MLI"}, "attribution": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c", "data_url": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/6f243ba2-4d4a-4663-a7c4-e917dbbde73a/download/mli_pop_adm0_v2.csv", "time_period": {"start": "2018-01-01", "end": "2018-12-31T23:59:59"}}','Recipe Manager','matt','matt','2024-06-13 22:22:13.38238','approved','matt','2024-06-13 22:22:13.38238+00','',''); diff --git a/db/recipedb/5-demo-data-memories.sql b/db/recipedb/5-demo-data-memories.sql index c2e65a4d..5ff56295 100644 --- a/db/recipedb/5-demo-data-memories.sql +++ b/db/recipedb/5-demo-data-memories.sql @@ -1,18 +1,16 @@ -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('d6a8d3fa-9288-4643-a2b6-0a03a1e510cd', '573c6699-0bc9-4300-85bb-a91fc202a8ba', '{"function": "generate_events_report", "params": {"country_code": "TCD"}}', '"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"', 'image', '{"params": {"country_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx"}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:22:19.991987'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('1bf8f06b-37e7-4c5f-b6e9-5aca2f4374e5', '576aa6ff-1884-4fa3-bae7-8eb6baeb960c', '{"function": "generate_price_vs_fatalities_report", "params": {"country_code": "TCD", "start_date": "2008-01-01"}}', '"iVBORw0KGgoAAAANSUhEUgAAA+gAAAJYCAYAAADxHswlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAAC9AklEQVR4nOzdeXhU5dkG8Puc2bdM9pCEkJCEHQRFRQRBQECkUJUq7ohYraJVaWs/a4uIu7aidcGqFCqVFhUXbJVFxQ3BpSgKyL5n35PZl/N+f4SMyWQmCWSZyeT+XVeuZM6cnHnmzDsz53lXSQghQEREREREREQRJUc6ACIiIiIiIiJigk5EREREREQUFZigExEREREREUUBJuhEREREREREUYAJOhEREREREVEUYIJOREREREREFAWYoBMRERERERFFASboRERERERERFGACToRERERERFRFGCCTkRERERERBQFmKATERERERERRQEm6ERERERERERRgAk6ERERERERURRggk5EREREREQUBZigExEREREREUUBJuhEREREREREUYAJOhEREREREVEUYIJOREREREREFAWYoBMRERERERFFASboRERERERERFGACToRERERERFRFGCCTkRERERERBQFmKATERERERERRQEm6ERERERERERRgAk6ERERERERURRggk5EREREREQUBZigExEREREREUUBJuhEREREREREUYAJOhEREREREVEUYIJOREREREREFAWYoBMRERERERFFASboRERERERERFGACToRERERERFRFGCCTkRERERERBQFmKATERERERERRQEm6ERERERERERRgAk6ERERERERURRggk5EREREREQUBZigExEREREREUUBJuhEREREREREUYAJOhEREREREVEUYIJOREREREREFAWYoBMRERERERFFASboRERERERERFGACToRERERERFRFGCCTkRERERERBQFmKATERERERERRQEm6ERERERERERRgAk6ERERERERURRggk5E1IgkSVi0aFGkw2ji66+/xrnnnguTyQRJkvDdd9916uPl5OTg+uuv79THoNi1bt06jBgxAnq9HpIkobq6Ouy+XV22G1uxYgUkScLhw4db3G/RokWQJKlrgophTzzxBHJzc6FSqTBixIgufezDhw9DkiSsWLEisI2vKxFFKyboRD3UDz/8gF/84hfIzs6GXq9HZmYmJk+ejGeeeabTHnPVqlV46qmnmm0vLCzEokWLuvTivKPt2rULixYtavVi/2R5vV5cdtllqKysxJIlS7By5UpkZ2d36GNQbInk+6miogKXX345DAYDnnvuOaxcuRImkynkvt25bD/88MN4++23Ix1Gt7FhwwbcfffdGDNmDJYvX46HH374pP7/+eefb5Jcd5ZofV076/uFiKKUIKIeZ/PmzUKr1Yr8/HzxwAMPiJdeekksXLhQTJkyReTl5XXa406fPl1kZ2c32/71118LAGL58uWd9thtBUDcd999J/1/r7/+ugAgNm3a1KHx/PjjjwKAeOmllzr0uC1xuVzC4/F02eNRx4rk++n9998XAMTGjRtb3TcSZbux5cuXCwDi0KFDLe7n9XqF0+lsss1kMok5c+Z0XnAx5ve//72QZVm43e5T+v8hQ4aI8ePHn/LjHzp0qNl7oju9rp31/UJE0UkdqYoBIoqchx56CFarFV9//TXi4+Ob3FdaWhqZoDqB3W4P23rXXTS8HsGvU0cTQsDlcsFgMECn03XqY1HsOpny2lVlu73UajXUal4utUdpaSkMBgO0Wm2kQwmI5OsaC99NRNSJIl1DQERdb8CAAeL8889v8/4rV64UZ511ljAYDCI+Pl6cd955Yv369YH73377bXHRRReJ9PR0odVqRW5urli8eLHw+XyBfcaPHy8ANPnJzs4WmzZtarYdQS0dW7duFVOnThVxcXHCYDCIcePGic8//7xJjPfdd58AIHbu3CmuvPJKER8fL0aMGCGEEGLOnDnCZDKJAwcOiClTpgij0SjS09PF/fffLxRFaXIchGhB37Ztm7jwwguFxWIRJpNJTJw4UWzZsiVwf0NLXPBPa60dH374oRg7dqwwGo3CarWKmTNnil27dgXunzNnTrNjttSK1BDHJ598Im666SaRmJgoLBaLuPbaa0VlZWWTfbOzs8X06dPFunXrxMiRI4VOpxNLliwJ3BfcilRVVSXuvPNOkZ2dLbRarcjMzBTXXnutKCsrC+zjcrnEwoULRV5entBqtaJ3797id7/7nXC5XC2eByHqy8eQIUPE9u3bxbhx44TBYBB5eXni9ddfF0II8fHHH4uzzz5b6PV60b9//5AttK29Tg0tyytWrGj2v+vWrRMAxLvvvhvYdvz4cTF37lyRmpoqtFqtGDx4sFi2bFmT/2sov6tXrxaLFi0SGRkZwmw2i1mzZonq6mrhcrnEHXfcIVJSUoTJZBLXX399yPOxcuVKccYZZwi9Xi8SEhLE7NmzxdGjR0Oeo507d4rzzz9fGAwGkZGRIR577LFm8YR7P+3du1dceumlIi0tTeh0OpGZmSlmz54tqqurW32NXnvttUCMSUlJ4uqrrxbHjx9vEl/w44ZrjWytbLf23mjQ2mveYMeOHWLChAlCr9eLzMxM8cADD4hly5a1qQW94bOlQajz2/h5dlW52bBhgxgzZoywWq3CZDKJ/v37i3vuuafF5zJkyJCQn/1+v19kZGSIWbNmBbb961//EmeccYYwm83CYrGIoUOHiqeeeqrF44fSUnn8+9//LiZMmCBSUlKEVqsVgwYNEs8//3yT/8/Ozg5bVioqKsRvfvMbMXToUGEymYTFYhEXXnih+O6775ocI1QLeltf148++kgAEG+++Waz5/bqq68KAOKLL74I+/wbPpc//vhjccstt4iUlBQRHx8vhBDi8OHD4pZbbhH9+/cXer1eJCYmil/84hdNymRbvl/ee++9wPvFbDaLiy66SOzYsaNJHEVFReL6668XmZmZQqvVil69eomZM2e2Wv6JqOuxSpioB8rOzsaWLVuwY8cODB06tMV977//fixatAjnnnsuFi9eDK1Wiy+//BIfffQRpkyZAqB+siWz2YwFCxbAbDbjo48+wsKFC1FbW4snnngCAHDvvfeipqYGx48fx5IlSwAAZrMZgwYNwuLFi7Fw4ULcdNNNOO+88wAA5557LgDgo48+wrRp0zBy5Ejcd999kGUZy5cvx8SJE/HZZ5/h7LPPbhLvZZddhn79+uHhhx+GECKw3e/348ILL8Q555yDxx9/HOvWrcN9990Hn8+HxYsXh33+O3fuxHnnnYe4uDjcfffd0Gg0+Nvf/obzzz8fn3zyCUaNGoVx48bh17/+Nf7617/iD3/4AwYNGgQAgd+hfPDBB5g2bRpyc3OxaNEiOJ1OPPPMMxgzZgy2bduGnJwc3HzzzcjMzMTDDz+MX//61zjrrLOQlpbW4usFALfddhvi4+OxaNEi7NmzB0uXLsWRI0fw8ccfN5kUac+ePbjyyitx880345e//CUGDBgQ8ng2mw3nnXcefvzxR9xwww0444wzUF5ejrVr1+L48eNITk6GoiiYOXMmPv/8c9x0000YNGgQfvjhByxZsgR79+5t07jOqqoq/OxnP8MVV1yByy67DEuXLsUVV1yBV199FXfeeSd+9atf4aqrrsITTzyBX/ziFzh27BgsFkubX6czzzwTubm5eO211zBnzpwmj7169WokJCRg6tSpAICSkhKcc845kCQJt912G1JSUvD+++9j3rx5qK2txZ133tnk/x955BEYDAb83//9H/bv349nnnkGGo0GsiyjqqoKixYtwtatW7FixQr07dsXCxcuDPzvQw89hD/96U+4/PLLceONN6KsrAzPPPMMxo0bh2+//bZJC3NVVRUuvPBCXHrppbj88svxxhtv4Pe//z2GDRuGadOmtfh+8ng8mDp1KtxuN26//Xb06tULBQUF+M9//oPq6mpYrdawr82KFSswd+5cnHXWWXjkkUdQUlKCp59+Gps3bw7EeO+992LAgAF48cUXsXjxYvTt2xd5eXkhj9dS2W7Le6OtrzkAFBcXY8KECfD5fPi///s/mEwmvPjiizAYDK2UyNBWrlyJG2+8EWeffTZuuukmAAg8z64qNzt37sTPfvYznHbaaVi8eDF0Oh3279+PzZs3txj77NmzsWjRIhQXF6NXr16B7Z9//jkKCwtxxRVXAAA2btyIK6+8EpMmTcJjjz0GAPjxxx+xefNm3HHHHSd9vl588UV89dVXePnllwH89Pm+dOlSDBkyBDNnzoRarca7776LW2+9FYqiYP78+QCAp556CrfffjvMZjPuvfdeAAiUlYMHD+Ltt9/GZZddhr59+6KkpAR/+9vfMH78eOzatQsZGRknFWeo1/Wcc85BVlYWXn31VVxyySVN/ufVV19FXl4eRo8e3erxb731VqSkpGDhwoWw2+0A6idJ/OKLL3DFFVegd+/eOHz4MJYuXYrzzz8fu3btgtFobPX7ZeXKlZgzZw6mTp2Kxx57DA6HA0uXLsXYsWPx7bffBt4vs2bNws6dO3H77bcjJycHpaWl2LhxI44ePRrYh4iiRKRrCIio623YsEGoVCqhUqnE6NGjxd133y3Wr1/fbNzxvn37hCzL4pJLLhF+v7/JfY1bnh0OR7PHuPnmm4XRaGzS6nOyY9AVRRH9+vUTU6dObfZ4ffv2FZMnTw5sa2gNufLKK5sdv6G17vbbb29y7OnTpwutVtukFRhBLegXX3yx0Gq14sCBA4FthYWFwmKxiHHjxgW2newYwREjRojU1FRRUVER2LZ9+3Yhy7K47rrrAtsaWtoaWpJb0tDSMnLkyCav5eOPPy4AiHfeeSewraFVat26dc2OE9yCvnDhwrAtSA2vy8qVK4Usy+Kzzz5rcv8LL7wgAIjNmze3GHtD6+uqVasC23bv3i0ACFmWxdatWwPb169f36y8tPV1uueee4RGo2nSo8Dtdov4+Hhxww03BLbNmzdPpKeni/Ly8iZxXnHFFcJqtQbKfMPrM3To0Cbn/MorrxSSJIlp06Y1+f/Ro0c3eQ8cPnxYqFQq8dBDDzXZ74cffhBqtbrJ9oZz9MorrzSJvVevXk1aPsO9n7799ts2l6XGPB6PSE1NFUOHDm0yZvc///mPACAWLlwY2NZQBr/++utWjxuubLf1vdHW1/zOO+8UAMSXX34Z2FZaWiqsVusptaALEX6scleVmyVLlggATT672mLPnj0CgHjmmWeabL/11luF2WwOxHfHHXeIuLi4Jr2g2qOhF1OwUN8dU6dOFbm5uU22hRuD7nK5mn03HTp0SOh0OrF48eIm24LfEyfzut5zzz1Cp9M16WlSWloq1Gp1q3OWNLwnxo4d2+x8hnr+W7ZsafY+D/f9UldXJ+Lj48Uvf/nLJtuLi4uF1WoNbK+qqhIAxBNPPNFirEQUHTiLO1EPNHnyZGzZsgUzZ87E9u3b8fjjj2Pq1KnIzMzE2rVrA/u9/fbbUBQFCxcuhCw3/bho3BLbuCWqrq4O5eXlOO+88+BwOLB79+5TjvO7777Dvn37cNVVV6GiogLl5eUoLy+H3W7HpEmT8Omnn0JRlCb/86tf/Srs8W677bYm8d92223weDz44IMPQu7v9/uxYcMGXHzxxcjNzQ1sT09Px1VXXYXPP/8ctbW1J/28ioqK8N133+H6669HYmJiYPtpp52GyZMn47333jvpYzZ20003QaPRBG7fcsstUKvVzY7bt2/fQItxS9asWYPhw4c3az0CfioHr7/+OgYNGoSBAwcGXqfy8nJMnDgRALBp06ZWH8dsNgda8ABgwIABiI+Px6BBgwKtoQACfx88eBDAyb1Os2fPhtfrxZtvvhnYb8OGDaiursbs2bMB1I/HX7NmDWbMmAEhRJPnM3XqVNTU1GDbtm1NYr/uuuuanPNRo0ZBCIEbbrihyX6jRo3CsWPH4PP5AABvvvkmFEXB5Zdf3uRxevXqhX79+jU7b2azGddcc03gtlarxdlnnx04Fy1paCFfv349HA5Hq/s3+Oabb1BaWopbb70Ver0+sH369OkYOHAg/vvf/7b5WK1p63vjZF7z9957D+ecc06T3jYpKSm4+uqrOyxuoGvLTUOvinfeeafZZ2BL+vfvjxEjRmD16tWBbX6/H2+88QZmzJgR+CyPj4+H3W7Hxo0bT+ocnKzG3x01NTUoLy/H+PHjcfDgQdTU1LT6/zqdLvDd5Pf7UVFRAbPZjAEDBjQ71+1x3XXXwe1244033ghsW716NXw+X5P3Y0t++ctfQqVSNdnW+Pl7vV5UVFQgPz8f8fHxbYp/48aNqK6uxpVXXtmkvKlUKowaNSrw+dEw/v/jjz9GVVVVm+Iloshhgk7UQ5111ll48803UVVVha+++gr33HMP6urq8Itf/AK7du0CABw4cACyLGPw4MEtHmvnzp245JJLYLVaERcXh5SUlMBFS1sussLZt28fAGDOnDlISUlp8vPyyy/D7XY3O37fvn1DHkuW5SYX8kD9xSqAsEvXlJWVweFwhOz6PWjQICiKgmPHjp3s08KRI0cAIOxxGyohTlW/fv2a3DabzUhPT2/2PMOdq2AHDhxodSjEvn37sHPnzmavU8M5bsvkg7179262LrHVakVWVlazbQACF5on8zoNHz4cAwcObJKgrF69GsnJyYHKhLKyMlRXV+PFF19s9nzmzp0b8vn06dMnZIyhYlcUJVBu9+3bByEE+vXr1+yxfvzxx2aPE+ocJSQktOmiu2/fvliwYAFefvllJCcnY+rUqXjuuedafY+2VF4HDhwYuL8jtPW9cTKv+ZEjR5q9J8I9Rnt0ZbmZPXs2xowZgxtvvBFpaWm44oor8Nprr7UpWZ89ezY2b96MgoICAMDHH3+M0tLSQAUVUN8du3///pg2bRp69+6NG264AevWrTvJM9K6zZs344ILLoDJZEJ8fDxSUlLwhz/8AUDbvjsURcGSJUvQr18/6HQ6JCcnIyUlBd9//327vnuCDRw4EGeddRZeffXVwLZXX30V55xzDvLz89t0jFCft06nEwsXLkRWVlaT+Kurq9sUf8N35MSJE5uVuQ0bNgTKm06nw2OPPYb3338faWlpGDduHB5//HEUFxe3KXYi6locg07Uw2m1Wpx11lk466yz0L9/f8ydOxevv/467rvvvjb9f3V1NcaPH4+4uDgsXrwYeXl50Ov12LZtG37/+9+fVOtOsIb/feKJJzBixIiQ+5jN5ia3T3VcaU/UkedKURQMGzYMTz75ZMj7gxOOUIJbl1rbLhrNMXAyZs+ejYceegjl5eWwWCxYu3YtrrzyysCMzg3l7pprrmk2Vr3Baaed1iGxK4oCSZLw/vvvh9w3uHy391z85S9/wfXXX4933nkHGzZswK9//Ws88sgj2Lp1K3r37t2mY1BoXVluDAYDPv30U2zatAn//e9/sW7dOqxevRoTJ07Ehg0bwv4/UF/+77nnHrz++uu488478dprr8FqteLCCy8M7JOamorvvvsO69evx/vvv4/3338fy5cvx3XXXYd//OMf4U/CSThw4AAmTZqEgQMH4sknn0RWVha0Wi3ee+89LFmypE3fHQ8//DD+9Kc/4YYbbsADDzyAxMREyLKMO++8s13fPaFcd911uOOOO3D8+HG43W5s3boVzz77bJv/P9Tn7e23347ly5fjzjvvxOjRo2G1WiFJEq644oo2xd+wz8qVK5vMKdCg8Sz1d955J2bMmIG3334b69evx5/+9Cc88sgj+Oijj3D66ae3+XkQUedjgk5EAWeeeSaA+m6mQP0EOYqiYNeuXWET5I8//hgVFRV48803MW7cuMD2Q4cONds3uOWvte0NEy/FxcXhggsuaPPzCEVRFBw8eDDQogsAe/fuBYCwE+SkpKTAaDRiz549ze7bvXs3ZFkOJJ7hnkMo2dnZABD2uMnJye1agmffvn2YMGFC4LbNZkNRUREuuuiiUzpeXl4eduzY0eo+27dvx6RJk07qXHSEk3mdgPoE5f7778eaNWuQlpaG2traJl3rU1JSYLFY4Pf7213uWpOXlwchBPr27dukbLZHa+d/2LBhGDZsGP74xz/iiy++wJgxY/DCCy/gwQcfDLl/4/La0MugwZ49ewL3d4S2vjf0en2bX/Ps7OxAS2Nw7Kcq1DnuynID1PcKmjRpEiZNmoQnn3wSDz/8MO69915s2rSpxcfv27cvzj77bKxevRq33XYb3nzzTVx88cXNllfUarWYMWMGZsyYAUVRcOutt+Jvf/sb/vSnP7W51bgl7777LtxuN9auXdukJ0Go4TDhyvQbb7yBCRMmYNmyZU22V1dXIzk5+aRjaum9c8UVV2DBggX417/+BafTCY1G06TXwal44403MGfOHPzlL38JbHO5XKiurm5TXA3fkampqW0qc3l5efjNb36D3/zmN9i3bx9GjBiBv/zlL/jnP/956k+CiDocu7gT9UCbNm0K2eLWML6zoevnxRdfDFmWsXjx4ma1+Q3/39BS0/h4Ho8Hzz//fLPjm0ymkN32GpLR4IuSkSNHIi8vD3/+859hs9ma/V9ZWVnY5xhK49YOIQSeffZZaDQaTJo0KeT+KpUKU6ZMwTvvvNOke3hJSQlWrVqFsWPHIi4ursXnEEp6ejpGjBiBf/zjH03237FjBzZs2HDKiXSDF198EV6vN3B76dKl8Pl8mDZt2ikdb9asWdi+fTveeuutZvc1vO6XX345CgoK8NJLLzXbx+l0tqvLfmtO5nUC6rtADxs2DKtXr8bq1auRnp7epHJJpVJh1qxZWLNmTciKiZMtdy259NJLoVKpcP/99zd7TwohUFFRcdLHDFcWa2trA2OYGwwbNgyyLMPtdoc93plnnonU1FS88MILTfZ7//338eOPP2L69OknHWM4bX1vnMxrftFFF2Hr1q346quvAvuVlZU16a58skwmU7Pz25XlprKystm2hkrUll7LBrNnz8bWrVvx97//HeXl5c0SzeByJ8tyoPW/4fherxe7d+8OVOierFDfHTU1NVi+fHmzfUOd74ZjBL9vXn/99UD3/ZMV7nEAIDk5GdOmTcM///lPvPrqq7jwwgtPqRKgsVDxP/PMM/D7/c3iApq/p6dOnYq4uDg8/PDDTT7zGzSUOYfDAZfL1eS+vLw8WCyWNpUXIupabEEn6oFuv/12OBwOXHLJJRg4cCA8Hg+++OILrF69Gjk5OYHxkvn5+bj33nvxwAMP4LzzzsOll14KnU6Hr7/+GhkZGXjkkUdw7rnnIiEhAXPmzMGvf/1rSJKElStXhqwAGDlyJFavXo0FCxbgrLPOgtlsxowZM5CXl4f4+Hi88MILsFgsMJlMGDVqFPr27YuXX34Z06ZNw5AhQzB37lxkZmaioKAAmzZtQlxcHN599902PWe9Xo9169Zhzpw5GDVqFN5//33897//xR/+8AekpKSE/b8HH3wQGzduxNixY3HrrbdCrVbjb3/7G9xuNx5//PHAfiNGjIBKpcJjjz2Gmpoa6HQ6TJw4EampqSGP+8QTT2DatGkYPXo05s2bF1hKymq1YtGiRW16TuF4PB5MmjQJl19+Ofbs2YPnn38eY8eOxcyZM0/peL/73e/wxhtv4LLLLsMNN9yAkSNHorKyEmvXrsULL7yA4cOH49prr8Vrr72GX/3qV9i0aRPGjBkDv9+P3bt347XXXsP69esDPTQ6Q1tfpwazZ8/GwoULodfrMW/evGaTID766KPYtGkTRo0ahV/+8pcYPHgwKisrsW3bNnzwwQchE6RTkZeXhwcffBD33HMPDh8+jIsvvhgWiwWHDh3CW2+9hZtuugm//e1vT/qYod5P27dvx2233YbLLrsM/fv3h8/nw8qVKwOJZTgajQaPPfYY5s6di/Hjx+PKK68MLLOWk5ODu+66q72noYm2vjfa+prffffdWLlyJS688ELccccdgWXWsrOz8f33359SjCNHjsQHH3yAJ598EhkZGejbty9GjRrVZeVm8eLF+PTTTzF9+nRkZ2ejtLQUzz//PHr37o2xY8e2+v+XX345fvvb3+K3v/0tEhMTm7W+3njjjaisrMTEiRPRu3dvHDlyBM888wxGjBgRWN6roKAAgwYNwpw5c7BixYqTfg5TpkwJtNLffPPNsNlseOmll5Camtos6R85ciSWLl2KBx98EPn5+UhNTcXEiRPxs5/9DIsXL8bcuXNx7rnn4ocffsCrr77abL6Rtgr3uja47rrr8Itf/AIA8MADD5zSYzT2s5/9DCtXroTVasXgwYOxZcsWfPDBB0hKSmqyX0vfL0uXLsW1116LM844A1dccQVSUlJw9OhR/Pe//8WYMWPw7LPPYu/evYHvhMGDB0OtVuOtt95CSUlJk95DRBQlunDGeCKKEu+//7644YYbxMCBA4XZbBZarVbk5+eL22+/XZSUlDTb/+9//7s4/fTThU6nEwkJCWL8+PFi48aNgfs3b94szjnnHGEwGERGRkZg2TYELQtjs9nEVVddJeLj4wWAJssGvfPOO2Lw4MFCrVY3Ww7n22+/FZdeeqlISkoSOp1OZGdni8svv1x8+OGHgX0alswJtexQwxI/Bw4cEFOmTBFGo1GkpaWJ++67r9kSPQhaZk0IIbZt2yamTp0qzGazMBqNYsKECeKLL75o9jgvvfSSyM3NFSqVqk1Lrn3wwQdizJgxwmAwiLi4ODFjxgyxa9euJvucyjJrn3zyibjppptEQkKCMJvN4uqrr26yZJUQ9UupTZ8+PeRxgpdZE0KIiooKcdttt4nMzEyh1WpF7969xZw5c5osJ+XxeMRjjz0mhgwZEigrI0eOFPfff7+oqalpMfbx48eLIUOGhIwlVJwAxPz585tsa+vrJET9EoIABADx+eefh9ynpKREzJ8/X2RlZQmNRiN69eolJk2aJF588cXAPuFen3DLjYUrp2vWrBFjx44VJpNJmEwmMXDgQDF//nyxZ8+eVs/RnDlzmi1fGOr9dPDgQXHDDTeIvLw8odfrRWJiopgwYYL44IMPQj7/YKtXrw58DiQmJoqrr75aHD9+vE3PO5SWynZb3htCtP01//7778X48eOFXq8XmZmZ4oEHHhDLli075WXWdu/eLcaNGycMBoMA0OT90hXl5sMPPxQ///nPRUZGhtBqtSIjI0NceeWVYu/evS0+l8bGjBkjAIgbb7yx2X1vvPGGmDJlikhNTRVarVb06dNH3HzzzaKoqCiwT8PSZaGWJQsWbpm1tWvXitNOO03o9XqRk5MjHnvsMfH3v/+92etSXFwspk+fLiwWiwAQWHLN5XKJ3/zmNyI9PV0YDAYxZswYsWXLFjF+/Pgmy7K1dZm1ll5XIeqXNUxISBBWq7XJkoMtaek9UVVVJebOnSuSk5OF2WwWU6dOFbt37w75GdzS98umTZvE1KlThdVqFXq9XuTl5Ynrr79efPPNN0IIIcrLy8X8+fPFwIEDhclkElarVYwaNUq89tprbXoORNS1JCFOcZYdIqJu4vrrr8cbb7wRspt8LFmxYgXmzp2Lr7/+ulNbq4mIeiKfz4eMjAzMmDGj2bh3IqKOwjHoREREREStePvtt1FWVobrrrsu0qEQUQzjGHQiIiIiojC+/PJLfP/993jggQdw+umnY/z48ZEOiYhiGFvQiYiIiIjCWLp0KW655RakpqbilVdeiXQ4RBTjOAadiIiIiIiIKAqwBZ2IiIiIiIgoCjBBJyIiIiIiIooCnCSuh1EUBYWFhbBYLJAkKdLhEBERERFRhAghUFdXh4yMDMgy226jARP0HqawsBBZWVmRDoOIiIiIiKLEsWPH0Lt370iHQWCC3uNYLBYA9W/CuLi4iMbi9XqxYcMGTJkyBRqNJqKxELE8UjRheaRowvJI0YTlsWPV1tYiKysrkCNQ5DFB72EaurXHxcVFRYJuNBoRFxfHD1iKOJZHiiYsjxRNWB4pmrA8dg4OfY0eHGhAREREREREFAWYoBMRERERERFFASboRERERERERFGACToRERERERFRFGCCTkRERERERBQFmKATERERERERRQEm6ERERERERERRgAk6ERERERERURRggk5EREREREQUBZigExEREREREUUBJuhEREREREREUYAJepR69NFHIUkS7rzzzsA2l8uF+fPnIykpCWazGbNmzUJJSUnkgiQiIiIiIqIOwwQ9Cn399df429/+htNOO63J9rvuugvvvvsuXn/9dXzyyScoLCzEpZdeGqEoiYiIiIiIqCMxQY8yNpsNV199NV566SUkJCQEttfU1GDZsmV48sknMXHiRIwcORLLly/HF198ga1bt0Yw4tilKALHKh3YXVyLY5UOKIqIdEhERERERBTD1JEOgJqaP38+pk+fjgsuuAAPPvhgYPv//vc/eL1eXHDBBYFtAwcORJ8+fbBlyxacc845kQg3Zu0vrcP6HSU4UGaDy+eHXq1CXooZU4emIT/VEunwiIiIiIgoBjFBjyL//ve/sW3bNnz99dfN7isuLoZWq0V8fHyT7WlpaSguLg57TLfbDbfbHbhdW1sLAPB6vfB6vR0T+ClqePxIxxHsYJkN//zyKKrsHvSK08Oo1cLh8ePHwioU19hxzag+yE0xRzpM6mDRWh6pZ2J5pGjC8kjRhOWxY/E8Rh8m6FHi2LFjuOOOO7Bx40bo9foOO+4jjzyC+++/v9n2DRs2wGg0dtjjtMfGjRsjHUIzZ8oALAAEgBP1G8NONJzv/vowdkcoLup80VgeqedieaRowvJI0YTlsWM4HI5Ih0BBJCEEB9ZGgbfffhuXXHIJVCpVYJvf74ckSZBlGevXr8cFF1yAqqqqJq3o2dnZuPPOO3HXXXeFPG6oFvSsrCyUl5cjLi6u055PW3i9XmzcuBGTJ0+GRqOJaCwNCqqceG7TflgNGpj1zeuvbC4fapxezJ+Qj8wEQwQipM4SjeWRei6WR4omLI8UTVgeO1ZtbS2Sk5NRU1MT8dyA6rEFPUpMmjQJP/zwQ5Ntc+fOxcCBA/H73/8eWVlZ0Gg0+PDDDzFr1iwAwJ49e3D06FGMHj067HF1Oh10Ol2z7RqNJmo+1KIpFpfihN0nkKbTQkhSs/t1OgmOOg9cCqImZupY0VQeiVgeKZqwPFI0YXnsGDyH0YcJepSwWCwYOnRok20mkwlJSUmB7fPmzcOCBQuQmJiIuLg43H777Rg9ejQniOtAJq0aerUKDo8PFn3zDyynxw+dWgWTlm8dIiIiIiLqWMwyupElS5ZAlmXMmjULbrcbU6dOxfPPPx/psGJKZrwBeSlm7CisgVmnhtSoFV0IgaIaF4ZlWpEZz+7tRERERETUsZigR7GPP/64yW29Xo/nnnsOzz33XGQC6gFkWcLUoWkorHFiX6kN6VY9DFoVnB4/impcSDRpMWVIGmS5efd3IiIiIiKi9pAjHQBRtMlPtWDumBwMzbCi2uHF4XI7qh1eDMu0Yu6YHK6DTkREREREnYIt6EQh5KdakHu+GQXVTtg9Ppi0amTGG9hyTkREREREnYYJOlEYsiwhKzE61oonIiIiIqLYxy7uRERERERERFGACToRERERERFRFGCCTkRERERERBQFmKATERERERERRQEm6ERERERERERRgAk6ERERERERURRggk5EREREREQUBZigExEREREREUUBJuhEREREREREUYAJOhEREREREVEUYIJOREREREREFAWYoBMRERERERFFASboRERERERERFGACToRERERERFRFGCCTkRERERERBQFmKATERERERERRQEm6ERERERERERRgAk6ERERERERURRggk5EREREREQUBZigExEREREREUUBJuhEREREREREUYAJOhEREREREVEUYIJOREREREREFAWYoBMRERERERFFASboRERERERERFGACToRERERERFRFGCCTkRERERERBQFmKATERERERERRQEm6ERERERERERRgAk6ERERERERURRggk5EREREREQUBZigExEREREREUUBJuhEREREREREUYAJOhEREREREVEUYIJOREREREREFAWYoBMRERERERFFAXWkA4g2brcbX375JY4cOQKHw4GUlBScfvrp6Nu3b6RDIyIiIiIiohjGBP2EzZs34+mnn8a7774Lr9cLq9UKg8GAyspKuN1u5Obm4qabbsKvfvUrWCyWSIdLREREREREMYZd3AHMnDkTs2fPRk5ODjZs2IC6ujpUVFTg+PHjcDgc2LdvH/74xz/iww8/RP/+/bFx48ZIh0xEREREREQxhi3oAKZPn441a9ZAo9GEvD83Nxe5ubmYM2cOdu3ahaKioi6OkIiIiIiIiGIdE3QAN998c5v3HTx4MAYPHtyJ0RAREREREVFPxAS9BTt27MAnn3wCv9+PMWPGYOTIkZEOiYiIiIiIiGIUx6CH8dxzz2HSpEn45JNPsGnTJkycOBEPPfRQpMMiIiIiIiKiGMUW9BOOHTuGrKyswO1nn30WO3fuRHJyMgBgy5YtmDlzJu69995IhUhEREREREQxjC3oJ1xwwQV4+umnIYQAACQlJWHdunVwu92oq6vDBx98gJSUlAhHSURERERERLGKCfoJX3/9Nfbs2YNRo0bhu+++w4svvoglS5bAYDAgPj4eq1evxj/+8Y9Ih0lEREREREQxil3cT4iLi8Pzzz+PL774Atdffz0mTpyIzz77DH6/H36/H/Hx8ZEOkYiIiIiIiGIYW9CDnHvuufjmm2+QkJCA008/HZ9++imTcyIiIiIiIup0bEE/wefz4cUXX8SPP/6I4cOH4w9/+ANmz56NX/3qV1ixYgWeffZZpKWlRTpMIiIiIiIiilFsQT9h3rx5ePbZZ2EymbB8+XLcdddd6N+/Pz766CNceOGFGD16NJYuXRrpMImIiIiIiChGMUE/4Z133sGaNWvw6KOPYuPGjfjvf/8buG/evHnYunUrPvvsswhGSERERERERLGMCfoJaWlp2LBhAzweDz766CMkJSU1uT81NRWrVq2KUHREREREREQU6zgG/YRnn30WV199NRYsWID09HS89tprkQ6JiIiIiIiIehAm6CdMnjwZJSUlKC8vR0pKSqTDISIiIiIioh6GXdwbkSSJyTkRERERERFFBBN0ABdeeCG2bt3a6n51dXV47LHH8Nxzz3VBVERERERERNSTsIs7gMsuuwyzZs2C1WrFjBkzcOaZZyIjIwN6vR5VVVXYtWsXPv/8c7z33nuYPn06nnjiiUiHTERERERERDGGCTrql1G75ppr8Prrr2P16tV48cUXUVNTA6C+2/vgwYMxdepUfP311xg0aFCEoyUiIiIiIqJYxAT9BJ1Oh2uuuQbXXHMNAKCmpgZOpxNJSUnQaDQRjo6IiIiIiIhiHcegh2G1WtGrV68uTc6XLl2K0047DXFxcYiLi8Po0aPx/vvvB+53uVyYP38+kpKSYDabMWvWLJSUlHRZfERERERERNR5mKBHkd69e+PRRx/F//73P3zzzTeYOHEifv7zn2Pnzp0AgLvuugvvvvsuXn/9dXzyyScoLCzEpZdeGuGoiYiIiIiIqCOwi3sUmTFjRpPbDz30EJYuXYqtW7eid+/eWLZsGVatWoWJEycCAJYvX45BgwZh69atOOeccyIRMhEREREREXUQJuhRyu/34/XXX4fdbsfo0aPxv//9D16vFxdccEFgn4EDB6JPnz7YsmVL2ATd7XbD7XYHbtfW1gIAvF4vvF5v5z6JVjQ8fqTjIAJYHim6sDxSNGF5pGjC8tixeB6jDxP0KPPDDz9g9OjRcLlcMJvNeOuttzB48GB899130Gq1iI+Pb7J/WloaiouLwx7vkUcewf33399s+4YNG2A0Gjs6/FOycePGSIdAFMDySNGE5ZGiCcsjRROWx47hcDgiHQIFYYIe5NixY5AkCb179wYAfPXVV1i1ahUGDx6Mm266qdMff8CAAfjuu+9QU1ODN954A3PmzMEnn3xyyse75557sGDBgsDt2tpaZGVlYcqUKYiLi+uIkE+Z1+vFxo0bMXnyZM6UTxHH8kjRhOWRognLI0UTlseO1dC7lqIHE/QgV111FW666SZce+21KC4uxuTJkzFkyBC8+uqrKC4uxsKFCzv18bVaLfLz8wEAI0eOxNdff42nn34as2fPhsfjQXV1dZNW9JKSEvTq1Svs8XQ6HXQ6XbPtGo0maj7UoikWIpZHiiYsjxRNWB4pmrA8dgyew+jDWdyD7NixA2effTYA4LXXXsPQoUPxxRdf4NVXX8WKFSu6PB5FUeB2uzFy5EhoNBp8+OGHgfv27NmDo0ePYvTo0V0eFxEREREREXUstqAH8Xq9gRbnDz74ADNnzgRQPyFbUVFRpz72Pffcg2nTpqFPnz6oq6vDqlWr8PHHH2P9+vWwWq2YN28eFixYgMTERMTFxeH222/H6NGjOYM7ERERERFRDGCCHmTIkCF44YUXMH36dGzcuBEPPPAAAKCwsBBJSUmd+tilpaW47rrrUFRUBKvVitNOOw3r16/H5MmTAQBLliyBLMuYNWsW3G43pk6diueff75TYyIiIiIiIqKuwQQ9yGOPPYZLLrkETzzxBObMmYPhw4cDANauXRvo+t5Zli1b1uL9er0ezz33HJ577rlOjYOIiIiIiIi6HhP0IOeffz7Ky8tRW1uLhISEwPabbropapYlIyIiIiIiotjDBD0ElUrVJDkHgJycnMgEQ0RERERERD0CE/QgFRUVWLhwITZt2oTS0lIoitLk/srKyghFRkRERERERLGMCXqQa6+9Fvv378e8efOQlpYGSZIiHRIRERERERH1AEzQg3z22Wf4/PPPA5PDEREREREREXUFOdIBRJuBAwfC6XRGOgwiIiIiIiLqYZigB3n++edx77334pNPPkFFRQVqa2ub/BARERERERF1BnZxDxIfH4/a2lpMnDixyXYhBCRJgt/vj1BkREREREREFMuYoAe5+uqrodFosGrVKk4SR0RERERERF2GCXqQHTt24Ntvv8WAAQMiHQoRERERERH1IByDHuTMM8/EsWPHIh0GERERERER9TBsQQ9y++2344477sDvfvc7DBs2DBqNpsn9p512WoQiIyIiIiIioljGBD3I7NmzAQA33HBDYJskSZwkjoiIiIiIiDoVE/Qghw4dinQIRERERERE1AMxQQ+SnZ0d6RCIiIiIiIioB+IkcSGsXLkSY8aMQUZGBo4cOQIAeOqpp/DOO+9EODIiIiIiIiKKVUzQgyxduhQLFizARRddhOrq6sCY8/j4eDz11FORDY6IiIiIiIhiFhP0IM888wxeeukl3HvvvVCpVIHtZ555Jn744YcIRkZERERERESxjAl6kEOHDuH0009vtl2n08Fut0cgIiIiIiIiIuoJmKAH6du3L7777rtm29etW4dBgwZ1fUBERERERETUI3AW9yALFizA/Pnz4XK5IITAV199hX/961945JFH8PLLL0c6PCIiIiIiIopRTNCD3HjjjTAYDPjjH/8Ih8OBq666ChkZGXj66adxxRVXRDo8IiIiIiIiilFM0EO4+uqrcfXVV8PhcMBmsyE1NTXSIREREREREVGM4xj0IBMnTkR1dTUAwGg0BpLz2tpaTJw4MYKRERERERERUSxjgh7k448/hsfjabbd5XLhs88+i0BERERERERE1BOwi/sJ33//feDvXbt2obi4OHDb7/dj3bp1yMzMjERoRERERERE1AMwQT9hxIgRkCQJkiSF7MpuMBjwzDPPRCAyIiIiIiIi6gmYoJ9w6NAhCCGQm5uLr776CikpKYH7tFotUlNToVKpIhghERERERERxTIm6CdkZ2cDABRFiXAkRERERERE1BMxQQewdu1aTJs2DRqNBmvXrm1x35kzZ3ZRVERERERERNSTMEEHcPHFF6O4uBipqam4+OKLw+4nSRL8fn/XBUZEREREREQ9BhN0NO3Wzi7uREREREREFAlcB52IiIiIiIgoCjBBJyIiIiIiIooCTNCJiIiIiIiIogATdCIiIiIiIqIowASdiIiIiIiIKApwFncAtbW1bd43Li6uEyMhIiIiIiKinooJOoD4+HhIktSmfbkOOhEREREREXUGJugANm3aFPj78OHD+L//+z9cf/31GD16NABgy5Yt+Mc//oFHHnkkUiESERERERFRjGOCDmD8+PGBvxcvXownn3wSV155ZWDbzJkzMWzYMLz44ouYM2dOJEIkIiIiIiKiGMdJ4oJs2bIFZ555ZrPtZ555Jr766qsIREREREREREQ9ARP0IFlZWXjppZeabX/55ZeRlZUVgYhik6IIFFQ5AQAFVU4oiohwRERERERERJHFLu5BlixZglmzZuH999/HqFGjAABfffUV9u3bhzVr1kQ4utiwv7QO63eU4HBZLcbqgec27UdOShymDk1Dfqol0uERERERERFFBFvQg1x00UXYt28fZsyYgcrKSlRWVmLGjBnYu3cvLrrookiH1+3tL63D8s2HsaOwBlaDBgBgNWiwo7AGyzcfxv7SughHSEREREREFBlsQQ+hd+/eePjhhyMdRsxRFIH1O0pQafegX6oZMhTACZj1avTTa7Gv1IYNO0uQm2yGLLdt2TsiIiIiIqJYwQQ9hOrqaixbtgw//vgjAGDIkCG44YYbYLVaIxxZ91ZQ7cSBMhvSrfr6decbDTuXJAnpVj32l9pQUO1EVqIxcoESERERERFFALu4B/nmm2+Ql5eHJUuWBLq4P/nkk8jLy8O2bdsiHV63Zvf44PL5YdSGrhcyaFVw+/ywe3xdHBkREREREVHksQU9yF133YWZM2fipZdeglpdf3p8Ph9uvPFG3Hnnnfj0008jHGH3ZdKqoVer4PD4YNFrmt3v9PihU6tgCpPAExERERERxTK2oAf55ptv8Pvf/z6QnAOAWq3G3XffjW+++SaCkXV/mfEG5KWYUVTjghBNl1UTQqCoxoX8VDMy4w0RipCIiIiIiChymKAHiYuLw9GjR5ttP3bsGCwWLgHWHrIsYerQNCSa6ieEs7nqu7LbXD7sK7Uh0aTFlCFpnCCOiIiIiIh6JCboQWbPno158+Zh9erVOHbsGI4dO4Z///vfuPHGG3HllVdGOrxuLz/VgrljcjA0w4oapxcAUOP0YlimFXPH5HAddCIiIiIi6rE42DfIn//8Z0iShOuuuw4+X30Lr0ajwS233IJHH300wtHFhvxUC3LPN+NoeR22bzmG+RPy0SfZwpZzIiIiIiLq0ZigB9FqtXj66afxyCOP4MCBAwCAvLw8GI1c9qsjybKEzAQDtgPITDAwOSciIiIioh6PCXoYRqMRCQkJgb+JiIiIiIiIOhPHoAdRFAWLFy+G1WpFdnY2srOzER8fjwceeACKokQ6PCIiIiIiIopRbEEPcu+992LZsmV49NFHMWbMGADA559/jkWLFsHlcuGhhx6KcIREREREREQUi5igB/nHP/6Bl19+GTNnzgxsO+2005CZmYlbb72VCToRERF1CUURKKh2wu7xwaRVIzOec7YQEcU6JuhBKisrMXDgwGbbBw4ciMrKyghERERERD3N/tI6rN9RggNlNrh8fujVKuSlmDF1aBqXJCUiimEcgx5k+PDhePbZZ5ttf/bZZzF8+PAIREREREQ9yf7SOizffBg7CmsQb9QgN9mMeKMGOwprsHzzYewvrYt0iERE1EnYgh7k8ccfx/Tp0/HBBx9g9OjRAIAtW7bg2LFjeO+99yIcHREREcUyRRFYv6MElXYP+qWaIUn1Xdoteg3MOjX2ldqwYWcJcpPN7O5ORBSD2IIeZPz48di7dy8uueQSVFdXo7q6Gpdeein27NmD8847L9LhERERUQwrqHbiQJkN6VZ9IDlvIEkS0q167C+1oaDaGaEIiYioMzFBB3DppZeitrYWAPDKK68gKSkJDz30ENasWYM1a9bgwQcfREZGRqfH8cgjj+Css86CxWJBamoqLr74YuzZs6fJPi6XC/Pnz0dSUhLMZjNmzZqFkpKSTo+NiIiIOp/d44PL54dRG7qTo0Grgtvnh93j6+LIiIioKzBBB/Cf//wHdrsdADB37lzU1NREJI5PPvkE8+fPx9atW7Fx40Z4vV5MmTIlEBsA3HXXXXj33Xfx+uuv45NPPkFhYSEuvfTSiMRLREREHcukVUOvVsERJgF3evzQqVUwhUngiYioe+OnO+pnaL/nnnswYcIECCHw2muvIS4uLuS+1113XafFsW7duia3V6xYgdTUVPzvf//DuHHjUFNTg2XLlmHVqlWYOHEiAGD58uUYNGgQtm7dinPOOafTYiMiIqLOlxlvQF6KGTsKa2DWqZt0cxdCoKjGhWGZVmTGGyIYJRERdRYm6ABeeOEFLFiwAP/9738hSRL++Mc/Nhv3BdSP/erMBD1YQ0t+YmIiAOB///sfvF4vLrjggsA+AwcORJ8+fbBly5aQCbrb7Ybb7Q7cbujK7/V64fV6OzP8VjU8fqTjIAJYHim6sDz2bBcMTEJxjR0HS2vRK04Pg1aG06OguNaFZJMWkwYkwe/3we/vmnhYHimasDx2LJ7H6CMJIUSkg4gmsiyjuLgYqampEY1DURTMnDkT1dXV+PzzzwEAq1atwty5c5sk3ABw9tlnY8KECXjssceaHWfRokW4//77m21ftWoVjEZj5wRPRERERERRz+Fw4KqrrkJNTU3YHsTUtdiCHuTQoUNISUmJdBiYP38+duzYEUjOT9U999yDBQsWBG7X1tYiKysLU6ZMifib0Ov1YuPGjZg8eTI0Gk1EYyFieaRowvJIQP2Sa0U1Ltg9Ppi0aqRb9RFZWo3lkaIJy2PHauhdS9GDCXqQ7OzsSIeA2267Df/5z3/w6aefonfv3oHtvXr1gsfjQXV1NeLj4wPbS0pK0KtXr5DH0ul00Ol0zbZrNJqo+VCLpliIWB4pmrA8Uk6qNtIhBLA8UjRheewYPIfRh7O4RxEhBG677Ta89dZb+Oijj9C3b98m948cORIajQYffvhhYNuePXtw9OhRjB49uqvDJSIiIiIiog7EFvQoMn/+fKxatQrvvPMOLBYLiouLAQBWqxUGgwFWqxXz5s3DggULkJiYiLi4ONx+++0YPXo0Z3AnIiIiIiLq5tiCDmDt2rVRMYPh0qVLUVNTg/PPPx/p6emBn9WrVwf2WbJkCX72s59h1qxZGDduHHr16oU333wzglETERERERFRR2ALOoBLLrkExcXFSElJgUqlQlFRUURmcW/LhPp6vR7PPfccnnvuuS6IqGdTFIGCamdgcp7MeENEJuchIiIiIqKegQk6gJSUFGzduhUzZsyAECLkGujUs+wvrcP6HSU4UGaDy+eHXq1CXooZU4emIT/VEunwiIiIiIgoBjFBB/CrX/0KP//5zyFJEiRJCjsjOgD4/f4ujIwiYX9pHZZvPoxKuwfpVj2MWgMcHh92FNagsMaJuWNymKQTEREREVGHY4IOYNGiRbjiiiuwf/9+zJw5E8uXL2+yjBl1PEURKKhyAgAKqpzok6yOiu7jiiKwfkcJKu0e9Es1B3pTWPQamHVq7Cu1YcPOEuQmm6MiXiIiIiIiih1M0E8YOHAgBg4ciPvuuw+XXXYZjEZjpEOKWQ3dxw+X1WKsHnhu037kpMRFRffxgmonDpTZkG7VNxvqIEkS0q167C+1oaDaiaxElhEiIiIiIuo4TNCD3HfffQCAsrIy7NmzBwAwYMAApKSkRDKsmNG4+3hmnBYQgNWgiZru43aPDy6fH0atIeT9Bq0KJbUu2D2+Lo6MiIiIiIhiHZdZC+JwOHDDDTcgIyMD48aNw7hx45CRkYF58+bB4XBEOrxuLbj7uFlfXz9k1qvRL9WMSrsHG3aWQFFan82+s5i0aujVKjjCJOBOjx86tQomLeu2iIiIiIioYzFBD3LXXXfhk08+wdq1a1FdXY3q6mq88847+OSTT/Cb3/wm0uF1ayfTfTxSMuMNyEsxo6jG1WzZOyEEimpcyE81IzM+dAs7ERERERHRqWIzYJA1a9bgjTfewPnnnx/YdtFFF8FgMODyyy/H0qVLIxdcN9cduo/LsoSpQ9NQWOPEvtL6ygSDVgWnx4+iGhcSTVpMGZLGCeKIiIiIiKjDsQU9iMPhQFpaWrPtqamp7OLeTt2l+3h+qgVzx+RgaIYV1Q4vDpfbUe3wYlimNeJj5ImIiIiIKHaxBT3I6NGjcd999+GVV16BXq8HADidTtx///0YPXp0hKPr3hq6j+8orIFZp0bjNuiG7uPDMq1R0X08P9WC3PPNKKh2wu7xwaRVIzPewJZzIiIiIiLqNEzQgzz99NOYOnUqevfujeHDhwMAtm/fDr1ej/Xr10c4uu4tuPt4ZpwWAGBz+VBQ64m67uOyLHEpNSIiIiIi6jJM0IMMHToU+/btw6uvvordu3cDAK688kpcffXVMBgi37Lb3TV0H29YBx16oMZZ3318ypDIr4NOREREREQUKUzQQzAajfjlL38Z6TBiVkP38aPlddi+5RjmT8hHn2RL1LScExERERERRQIniaOIkGUJmQn1PRIyEzi2m4iIiIiIiAk6RYSiCBRU1a93XlDlhKKIVv6DiIiIiIgotrGLO3W5/aV1gTHoY/XAc5v2IyclDlOHcgw6ERERERH1XGxBpy61v7QOyzcfxg8FNVCf6NauliX8UFCD5ZsPY39pXYQjJCIiIiIiigwm6CFUV1fj5Zdfxj333IPKykoAwLZt21BQUBDhyLo3RRFYv6MERysdqHF4sKOwFgCwo7AWNQ4PjlY6sGFnCbu7ExERERFRj8Qu7kG+//57XHDBBbBarTh8+DB++ctfIjExEW+++SaOHj2KV155JdIhdlsF1U58e6wKZXUu+PwCCYb6+iG9RkKZzQ2VLGHb0SoUVDu5/jgREREREfU4bEEPsmDBAlx//fXYt28f9Hp9YPtFF12ETz/9NIKRdX91Li+OVjjg9SlINGmhVasAAFq1CokmLXx+BccqHahzeSMcKRERERERUddjgh7k66+/xs0339xse2ZmJoqLiyMQUeywuX1wev3QaVSQpKbLqkmSBJ1GBYfHD5vbF6EIiYiIiIiIIocJehCdTofa2tpm2/fu3YuUlJQIRBQ7zHo1DFoV3F4FiqLA4/UDADxePxRFgdurwKhVwaznyAsiIiIiIup5mKAHmTlzJhYvXgyvt76btSRJOHr0KH7/+99j1qxZEY6ue7PoNOiTaIRfCBwos+PYiXXQj1U5caDMDj8EshKNsOg0EY6UiIiIiIio6zFBD/KXv/wFNpsNqampcDqdGD9+PPLz82GxWPDQQw9FOrxuLTPegD4JRri8CiAB4sRk7UIAkACXR0F2ohGZ8YaIxklERERERBQJ7EscxGq1YuPGjfj888/x/fffw2az4YwzzsAFF1wQ6dBigwRoVBIMahXUJ6qH4gxq+BTAJyRwgTUiIiIiIuqpmKCHMXbsWIwdOzbSYcSUgmonqh1e9E4wYFdBDbx+X2C7Rq3G4Awrqh1eLrNGREREREQ9EhP0IH/9619DbpckCXq9Hvn5+Rg3bhxUKlUXR9b92T0+HK20Y2+JDU6fAt2JFnRZAhxeBTsLa+H1K7B7OIs7ERERERH1PEzQgyxZsgRlZWVwOBxISEgAAFRVVcFoNMJsNqO0tBS5ubnYtGkTsrKyIhxt96JXyzhQZofd7YNalqBVqQD4oVWp4FUE7G4fDpbZoVdzagQiIiIiIup5mAkFefjhh3HWWWdh3759qKioQEVFBfbu3YtRo0bh6aefxtGjR9GrVy/cddddkQ612ymqccHhrl9aTaOSIZ9YCl2W6m8DgN3jR1GNK1IhEhERERERRQxb0IP88Y9/xJo1a5CXlxfYlp+fjz//+c+YNWsWDh48iMcff5xLrp2C/aU2CAioZQk+RUA5UT2kCMCn1G8XQmB/qQ2j85IjGywREREREVEXY4IepKioCD5f8zHQPp8PxcXFAICMjAzU1dV1dWjdnl6jgkqWoFPL8CuAIupb0xUhoFGrIEuAx6dAr+H4fiIiIiIi6nnYxT3IhAkTcPPNN+Pbb78NbPv2229xyy23YOLEiQCAH374AX379o1UiN3WWTkJMOvU8PgUmHUqWPQaAIBFr4FZq4LHp8CiV+OsnIQIR0pERERERNT1mKAHWbZsGRITEzFy5EjodDrodDqceeaZSExMxLJlywAAZrMZf/nLXyIcaffTJ9GE8/olQ5Ik1Lp88Iv6Vc/9QqDW5YMsSRibn4w+iaYIR0pERERERNT12MU9SK9evbBx40bs3r0be/fuBQAMGDAAAwYMCOwzYcKESIXXrcmyhFsn5KPC7sGOglq4vfVDCdxeP/QaNYZmxuHWCfmQG2aPaydFESiodsLu8cGkVSMz3tBhxyYiIiIiIupoTNDDGDhwIAYOHBjpMGJOfqoFf/rZYLz/QxG+PVIBoBTDs+JxRnYyLhzWC/mplg55nP2ldVi/owQHymxw+fzQq1XISzFj6tC0DnsMIiIiIiKijsQEPYjf78eKFSvw4YcforS0FIqiNLn/o48+ilBksSM/1YL5E8w4Wt4L27eUYuHPhqBPsqXDWrf3l9Zh+ebDqLR7kG7Vw6g1wOHxYUdhDQprnJg7JodJOhERERERRR0m6EHuuOMOrFixAtOnT8fQoUMhSewS3Z0oisD6HSWotHvQL9UceP0seg3MOjX2ldqwYWcJcpPN7O5ORERERERRhQl6kH//+9947bXXcNFFF0U6lJjV0P38cFktxuqB5zbtR05KXId0Py+oduJAmQ3pVn2zyhVJkpBu1WN/qQ0F1U5kJRrb9VhEREREREQdibO4B9FqtcjPz490GDGrofv5jsIaWA31y6xZDRrsKKzB8s2Hsb+0fevL2z0+uHx+GLWh654MWhXcPj/snuZr3RMREREREUUSE/Qgv/nNb/D0009DnFgCjDpOcPdzs74+iTbr1eiXakal3YMNO0ugKKd+7k1aNfRqFRxhEnCnxw+dWgVTmASeiIiIiIgoUpilBPn888+xadMmvP/++xgyZAg0Gk2T+998880IRdb9Net+3igP76ju55nxBuSlmLGjsAZmnbpJN3chBIpqXBiWaUVmvKG9T4eIKGZxmUoiIqLIYIIeJD4+Hpdcckmkw4hJP3U/N0AIAZuzvpW7zumDySDDoFWhpNbVru7nsixh6tA0FNY4sa+0vjLAoFXB6fGjqMaFRJMWU4ak8UKTiCgMLlNJREQUOUzQgyxfvjzSIcSshu7nhdUOFNe4Ued047Qc4KvDlbAYdOhl1XVI9/P8VAvmjskJXGCW1LqgU6swLNOKKUN4gUlEFA6XqSQiIoosJujUZTLjDYg3arBxVwm0KgmJRhUAQK+RUFLrxLEqByYPTuuQ7uf5qRbknm9mF00iojbiMpVERESRxwQ9hDfeeAOvvfYajh49Co/H0+S+bdu2RSiqGNEw7jx4fXlJAiDQkZd8sixxKTUiojbiMpVERESRx1ncg/z1r3/F3LlzkZaWhm+//RZnn302kpKScPDgQUybNi3S4XVrBdVOVDu9OCsnASlmLarsXgBAld2LFLMWZ+UkoMrhRUG1M8KREhH1PFymkoiIKPKYoAd5/vnn8eKLL+KZZ56BVqvF3XffjY0bN+LXv/41ampqIh1et9Zw8ef2CRRUOVFlr++dUGX3oKDKCZdP4cUfEVGEcJlKIiKiyGOCHuTo0aM499xzAQAGgwF1dXUAgGuvvRb/+te/Ihlat2fSqlFl9+Dz/WWodHih09aPQddpVah0eLF5fzkq7R5e/BERRUDDMpVFNS4IIZrc17BMZX6qmctUEhERdSIm6EF69eqFyspKAECfPn2wdetWAMChQ4eaXbDQyUkz61BY7YLL60ecXgXViTGOKklCnF4Fl7d+KbQ0sy7CkRIR9TwNy1QmmrTYV2pDncsLn6KgzuXFvlIbl6kkIiLqAkzQg0ycOBFr164FAMydOxd33XUXJk+ejNmzZ3N99Hb6rqAabp8fWrWMKocPtc76Mei1Ti+qHD5oVTJcXj++K6iObKBERD1UwzKVQzOsqHZ4cbjcjmqHF8MyrVxijYiIqAuwL3GQF198EYqiAADmz5+PpKQkfPHFF5g5cyZuvvnmCEfXvVXYPfD5BVSSBK8U1BtBAlSyBJ9foMLuCX0AIiLqdFymkoiIKHKYoAeRZRmy/FPHgiuuuAJXXHFFBCOKHYlGDTx+BUIIJBq1UEEB4EWcQQM/ZNS5vBBCQaJRE+lQiYh6NC5TSUREFBlM0EOorq7GV199hdLS0kBreoPrrrsuQlF1f6lxeujUKtjcPgghoFbXt8aoVRJ8PgGfAlj0KqTG6SMcKRERERERUddjgh7k3XffxdVXXw2bzYa4uDhI0k9d+iRJYoLeDm6fguwkAw6U2VHr8kHSy4HttS4Feo2MPokGuH1KK0ciIiIiIiKKPZwkLshvfvMb3HDDDbDZbKiurkZVVVXgp2F2dzo1Jq0afRJNGJkdj0STFt4TibjXpyDJrMXI7Hj0STRxmTUiIiIiIuqRmKAHKSgowK9//WsYjRx719Ea1tjVqFSYeVovjOqbCAAY1TcRM4b1gkal4hq7RERERETUYzFBDzJ16lR88803kQ4jJjWssauSJWz8sQwHyuwAgANldmz8sQwqWeIau0RERERE1GOxLzEQWPccAKZPn47f/e532LVrF4YNGwaNpumM4jNnzuzq8GKTBEAE3SYiIiIiIurBmKADuPjii5ttW7x4cbNtkiTB7/d3QUSxSVEE1u8ogV8RmDo4DQ6XF0Atzs1LhlGvwf4yOzbsLEFuspmt6ERERERE1OOwizsARVHa9MPkvH0Kqp04UGZDulUPWZZhMdTXD1kMasiyjHSrHvtLbSiodkY4UiIiIiIioq7HBJ26jN3jg8vnhzHMLO0GrQpunx92j6+LIyMiih6KIlBQVV9RWVDlhKKIVv6DiIiIYgUT9CC//vWv8de//rXZ9meffRZ33nlnpz72p59+ihkzZiAjIwOSJOHtt99ucr8QAgsXLkR6ejoMBgMuuOAC7Nu3r1Nj6kgmrRp6tQqOMAm40+OHTq3qNsusKYrAsUoHdhfX4lilgxfRRNRu+0vrsPTjA3hu034AwHOb9mPpxwewv7QuwpFRrOJ3GRFRdGGCHmTNmjUYM2ZMs+3nnnsu3njjjU59bLvdjuHDh+O5554Lef/jjz+Ov/71r3jhhRfw5ZdfwmQyYerUqXC5XJ0aV0dpWGatqMYFv9+PohNd2YuqnfW3a1zdZpm1hovoJRv34q8f7sOSjXt5EU1E7bK/tA7LNx/GjsIaWA31E5RaDRrsKKzB8s2H+flCHY7fZURE0ad7NFV2oYqKClit1mbb4+LiUF5e3qmPPW3aNEybNi3kfUIIPPXUU/jjH/+In//85wCAV155BWlpaXj77bdxxRVXdGpsHaFhmbWvDlfgX18fBxQfzh0BfPBjCSCrMTQzrlsss9ZwEV1p9yDdqodRa4DD48OOwhoU1jgxd0wO8lMtXRKLoggUVDth9/hg0qqRGW+I+vNHRM01TKJZafegX6oZMhTACZj1avTTa7Gv1MZJNKlDRdN3GRER/YQt6EHy8/Oxbt26Ztvff/995ObmRiCieocOHUJxcTEuuOCCwDar1YpRo0Zhy5YtEYvrZB2pcOBQuQNunx8qqf4iUyVJcPv8OFTuwJEKR4QjbFnwRbRFr4FKlmDRa9Av1YxKuwcbdpZ0SRdBtnwQxY7Gk2hKUtMEXJIkTqJJHSqavsuIiKgptqAHWbBgAW677TaUlZVh4sSJAIAPP/wQf/nLX/DUU09FLK7i4mIAQFpaWpPtaWlpgftCcbvdcLvdgdu1tbUAAK/XC6/X2wmRhufzKfjnFwchFB9OSzcBigLAjfxkAyDLOFbtwqtbDuLcnHio1dFZd1RQ5cThslpkxmnrW7gaXbtIADLjtDhUWouj5XXITOi8rvoHy2z455dHUWX3oFecHkatFg6PHz8WVqG4xo5rRvVBboq50x4/1iiKwPEKGwDgaFkdeiexlZK6Vq3DBa/PC7NGC0n4IYn6VUMafps0QLnPW7+fRRPJUCkGnOx3WcP1QldfNxCFwvLYsXgeo48khGD1aJClS5fioYceQmFhIQAgJycHixYtwnXXXddlMUiShLfeeiuwRvsXX3yBMWPGoLCwEOnp6YH9Lr/8ckiShNWrV4c8zqJFi3D//fc3275q1SoYjcZOiZ2IiIiIiKKfw+HAVVddhZqaGsTFxUU6HAIT9BaVlZXBYDDAbO76lsjgBP3gwYPIy8vDt99+ixEjRgT2Gz9+PEaMGIGnn3465HFCtaBnZWWhvLy8y9+EG38swaPv/YiMeD1Usgy1pODS1Eq8WZoIn5DhVxQUVrvwfxcNwuRBaa0fMAIKqpx4btN+WA0amPXNO6DYXD7UOL2YPyG/01rQOzKGg2U2fPhjKQ6V2+Hy+aFXq9A32YRJg1J7RAt8454IGRYthuAwdiIHhXUeJJi07IlAXUZRBJZ9fgi7imqRl2KCDAU5rgM4rM+DAhkHyuwYkhGHG8b0Ze8OareT/R7xer3YuHEjJk+eDI2GPTgoslgeO1ZtbS2Sk5OZoEcRdnFvQUpKSqRDCOjbty969eqFDz/8MJCg19bW4ssvv8Qtt9wS9v90Oh10Ol2z7RqNpss/1JItBghJhVq3gEX/Uxd2n5DhEzLq3H4ISYVkiyFqP3D7JKuRkxKHHYU16KfXNhkrKoRAQa0HwzKt6JNs6bSLaJfihN0nkKbTQkjNH0Onk+Co88CloMXzuL+0Dq98eTwwQVCaVg2Hx4cfimwoqPXE/ARBiiLwwe4KlNt96JcaF5iUy2jQItegx75SGz7cU4F+veKZEFGXmDIsAwW1HuwtcyIzTgsAqHMLFNQ6kWjSY/LQDOh02ghHSbHgVL/LInHtQBQOy2PH4DmMPkzQo4jNZsP+/fsDtw8dOoTvvvsOiYmJ6NOnD+688048+OCD6NevH/r27Ys//elPyMjICLSyR7szshKQk2TC3tI6mLQqQPXTfYqioMLuwYA0C87ISohckK1omIm+sMaJfaX1EzoZtCo4PfXLxCWatJ0+E33j9eQt+uYfqm1ZTz54gqCGizOLXgOzTt0jZoxuNilX4zGYQZNyZSVyOAh1vvxUC+aOycH6HSU4XFYL6IEapxfDMq2YMiQtpivMqHP4fAq2HatChd2DJJMWZ2QlQK2Wo+K7jIiIQmOCHkW++eYbTJgwIXB7wYIFAIA5c+ZgxYoVuPvuu2G323HTTTehuroaY8eOxbp166DX6yMV8klRq2VcPyYHj7y/G0crnUgy1mfoVXYPKhx+xBk0mHNuTtROENeg8UX0gTIbSmpd0KlVXXYR3bCe/I7CGph16mYtH0U1LgzLtLa4nvzJzBgdq8mp3eODy+eHURv6PBm0KpTUumD3+Lo4MurJ8lMtyD3fjKPlddi+5RjmT8jv1B45FLs+/LEEKzYfxuEKO7x+BRqVjJwkE64fk4NJg9Ii/l1GREShMUGPIueffz5amhJAkiQsXrwYixcv7sKoOtakQWkorHbi5c8OoejEckFF1U7EmQ24bnQ2JkXp2PNgDRfRkViDvCNaPjoyOe2ua7F3RE8Eos4gyxIyEwzYDiAzoXu8nyi6fPhjCR55fzfqXF4kmbSB74i9pXV45P3dABBI0iP1XUZERKHxyrMFLper27ROdxf7S+uwu7gOA3tZoJPNAApxXr8UuBUJu4vrsL+0rtvU2suyFLHW5fa2fHRUcrq/tC4QQ8Mkc3kpZkwdGv2tL816IjS6r609EYiIoo3Pp2DF5sOoc3nRJ8EAWa7vlWbRyzBpVTha5cQ/vjiM8f1SAt3dY7WnFBFRd8QEPYiiKHjooYfwwgsvoKSkBHv37kVubi7+9Kc/IScnB/PmzYt0iN1W43HPA3pZApNy5aaaoUDuEeOeO1J7Wj46opv8/tI6LN98ODDJnFFrgMPjw47CGhTWOKN+krngnggNk3LZXD4U1Ho4BpOIuqVtx6pwuMKOJJM2kJw3kGUZSSYtDpXbse1YFc7umxShKImIKJzoHuwbAQ8++CBWrFiBxx9/HFrtT7PlDh06FC+//HIEI+v+TmbcM7VNQ8vHwF5xyEo0tjmZbEhOE01a7Cu1oc7lhU9RUOfyYl+prdXkNHiSOYteA5UswaLXoF+qGZV2DzbsLIGiRPcqjg09EYZmWFHj9AL4aVKuaK9gICIKpcLugdevwKBVhbzfoFXB66+fmJWITp0QgN8PeL2A2w24XIDDAdhsQF0dUFMDVFUBFRVAWRlQUgIUFQEFBUBpaaSjp2jGFvQgr7zyCl588UVMmjQJv/rVrwLbhw8fjt27d0cwsu6Pk3JFl/Z0k4+lSeY4KRcRxZIkkxYalQynx99kSdMGTo8fGlV9S3pX6K7zlFBsEAJQlJ9+t/R3W/dr+Ls9OIKWWsIEPUhBQQHy8/ObbVcUBV6vNwIRxQ5OyhV9TrWbfKxVtnBSLqLuh4lfaMFLmjbu5t7VS5p21TwlLAuxIzhhDvXjOdH5o7QUUKlC79M4MSfqbpgJBRk8eDA+++wzZGdnN9n+xhtv4PTTT49QVLGhoyfl4hdyxziVCYJY2UKdge9paqvuPEFlZ2uypGmVs8ks7hV2D+L0XbOkaVfNU8KyEFmhWqD9/tCt0639CNG2hNrvr/9dW1ufoBPFGl49B1m4cCHmzJmDgoICKIqCN998E3v27MErr7yC//znP5EOr1vryEm5+IUcWR0xyRxRY3xPU1t19wkqu0LDkqUN66BX2j3QqGQMSLNgzrk5nb6kafA8JQ3fERa9BmadusMmhWVZODUnkzC3ZR8i6lhM0IP8/Oc/x7vvvovFixfDZDJh4cKFOOOMM/Duu+9i8uTJkQ6v22sY97xuRzF+LKjCsDigqMaJoZmJbb4Q5xdy5J3MWuyttYrGQqtpLDyHSOJ7mtqqqxK/WDBpUBrG90vBtmNVqLB7kGTS4oyshE5vOQe6Zp6SWC8Lwd20Q3XdDr6fCTVRbGCCHsJ5552HjRs3RjqM2CZO/Jz4W7TxG6PxF3J+igk2tx9VDg+0Khn5KSbsL7N3qy/k7pzYtWWSudZaRWOh1TQWnkMkxfpFNnWsWJqgsiuo1XJEllLrinlKoqUstGWCsVO5j4h6LiboQb7++msoioJRo0Y12f7ll19CpVLhzDPPjFBksaGhpazC5ka8ob74WQxq7CisQVGtq9WWsoYvZINGxjdHqlHl8MDnV6BWyUgwapFu1XWbi7P9pXVY90Mxfiiogd3rg0mjxrBMKy4c1qvbJHYtTTLXWqvoxIGp+Gh3abduNWXLb/tFy0V2R+rOFW/RLtYmqIxVXTFPSUtlQVEAnUoFp9uFarsPaeamrc7hftrS1Tu4BZuIqKMxQQ8yf/583H333c0S9IKCAjz22GP48ssvIxRZ99fQUna0wgGv348jZW6MzgO2H6uB1aSD3e1vtaXM7vGh3OZGhd0Dt9cPs14DjV4Nr1+grM6FWpcXSSZt1F+c7S+tw1Mf7MPekjr4G60VfqjCjt0ldbjzgn7dJrELNclca62ie0tsWLH5MEw6FfqnWaK+1TRUwgWALb8dINYSLvao6FycoLJ7aOs8JelxBvh8rXfVDpU811Zo4KnWo9AlwahRQwipSdJsd/vgchpRWaTBYWeETgQR0SngN1iQXbt24Ywzzmi2/fTTT8euXbsiEFHsKKh24ttjVThe5UCNywvNiT7ulXYPSuxeWPUabDsqt9hSZtCoUG7zwO72IS1OF/jS16klaE1alNS6IUT9ftFKUQRWbT2K7ceqoVXLsOg10KgkeP0CdS4vth+rxr++PIp7pw/utolda62iFr0aOwtrcE5uYtS3moZLuE7LssZcy28kxFLCxR4VnY8TVHa+UGOcG1aZdTh+Wtaq5fWlJZyW0As/7vfhfzs9SDXroNOo4PL4UVrnRZzejH55vXDw4Kl/x8Vp9Mgwm7GvtA45SWoELQ2Dsjo3+qdZkBbHBaeJqHuJ/iueLqbT6VBSUoLc3Nwm24uKiqBW83S1R53bi/2lNlTYPVBJgFZXP1GNViPD7VZQbvdAlNpQ5w6/3nz996+AhHD9yurvi+a09liVA1sPVUKWJCSZtCErGbYcrMSxKgeyk0wRjvbUtNYqqpIleP0KVHLoyYqipdW0pYRrZ1ENbC4fMsIkAtHyHKJdrCRcHEvfNU5mgspY1daxzeG6ZYfb1lKX7YZlrQoL276sVZrJjJ8P643P9lbgWKUDHr8HWpUK/VIsGNsvCdlJ5nadB1mWcF7/JJTaXDhc4UCKRQe9RobLq6Cszg2rUYOx/ZJiuiwQUWxixhlkypQpuOeee/DOO+/AarUCAKqrq/GHP/yBs7i3U63Ti0q7BxACRp0Garn+SkAtSzBq1ahz1d9f6wyfoDu8fiSbdaiQ6lvezXo1NCoZXr8Cm8sHs16NJJMODq8/aseBHiq3o9rpQYpZF7Ll1WrUoMLmxqFye7dN0FtrFfUrAhqVDH+YmXCiodW0tYRr+/HqE705vIgzaJv9fzQ8h+4gVhKuWBxLH63aMkFltAg3rtnvD31frE0elp1kRtYoE0pqXXB4/TBqVEiL03fY+zk7yYxZZ2QGKgEqbH5oVfVDpzqiEoCIKBJ45Rjkz3/+M8aNG4fs7GycfvrpAIDvvvsOaWlpWLlyZYSj696cHj+ECN+6LQGAEHB6/GGPYdKqkWzWIdmsRXGNG5WO+u7uKllGapweveJ0ACSU17nx4a7SqB0HKglAtNALoLtrrVW0zuVDTpIJdS5ffZmIwlbT1hKu3GQTyurcOFhux/Demqh8Dt1Fd0q4wom1sfTRrqUJKtsreMKwxn/7/eEnEgt1HycRq6+ES+/Ez8HOrgQgIupqTNCDZGZm4vvvv8err76K7du3w2AwYO7cubjyyiuh0TRvCaS2kyQJBq0KPr+A0+uH6kRC41MEnN76mdjVKqlZMtRY48RvZHY8bG4/PH4FWpUMs06F/WV2pFv1eO+HIlQ5vFE5DjQ32QSrUYNahxf6OFWzxK7G4UW8QYPc5O7Zeg603iqaZNbisjN746PdpVHbatpawmXU1VcWmU50X47G59CddGbC1RViaSx9tPspAZaQajJCMdTfttvDrxHd0prRoX5T99LZlQBERF2JVwohmEwm3HTTTZEOI+b0TTYh2axHtcMDCYDvxKA2n1/AqFVBCCDeqEXfFhLTxolfQzIeb9TA6fFjf5kdiUYtIIAqhzdqx4H2TjDinNwkbNxVggqbGxaDJtBNv87phSKAUblJ6J3QvbvBtqVVNDvJGFhqzuH1wahR47TeVkwd2rFLzZ3KcIe2JFzJZh0uPSMT24/VdHrLb7QO2ehIoVYE6C5iZSx9W4Uqj5IkheyW3VKi3NK2cC3VREQtEQLw+ep//P76SQ4bbrf24/XW/0/D3w3HCL6vrccId1sIQJaBRx8Fxo+P9BmjaMMEHcDatWsxbdo0aDQarF27tsV9Z86c2UVRxZ6sBCPO6ZuIjT+W1Ld4a9QAnEg162DzCnj8CkbnJiKrlcS0pcRvWG8r3tpWENXjQGVZwlWj+qC0zo29xXWoc/lQ361dgkqWMTzDgqtG9emQ5CvSSV2bWkUl/DT7rtTxHfxPddmrtiZc5+Yl49y85E49z1y6K/pF41j6cOs8t7StLS3Mh8ps+Hh3OY5UOODy+qFTqdA73oTz+rd9zK+iiB7RJbmnPE/qnhSl7YnrySShLSW2bUleW0uIvV41XK4LIEnqkP/nDz9SMuqUlUU6AopGTNABXHzxxSguLkZqaiouvvjisPtJkgR/d3rXRxlZlnDVOX1QanNjT3Et7N76sZh2rw+yrMLwjHhc2cbENFzit7e0rluMA81PteDOC/ph3Y4TrcceP4xaFU7LjD+ppKulBDxakrpwraINM6RX2Dyw6jVIMGqhKAI7CmpRVOM6qaEI4c5De5a9OtmEq7MqfHrS0l2RrlBqSeMZrsP9nWW14KqROdi4qxQHy2xwed3QqdTonxKPiYNSkWawoLa2aXLc+BiNf3wnPqJKSupnzQ61T2s/neFIhQ1rthWgxuFFikWHZKMeTq8f+0rrUGpzYdYZma0m6UcqbPhsbzn2lNTB6fXDoFFhQJoF5/VPjqlJveqfZ/3kZW5/fUVGVqLxpCoyKDqEazVtSzLZlsQ2VEtv49uhk9Twx2lrkt19e6RIALrvMMDGvOHnRaYejAk6AKXRJ5TSfT+tuoX8VAsuOT0Tyz514WBZHQDA5vIhN9WAS07PPKlEI1Ti153GgeanWnBrO8bctpSAA4jqpK5hhvSjlQ74fAoOV9jhUxSoZRkJBg3sHl+bhyKEOw+TB6dh4672LXsV6cnLom3prs5MoINfR51Khdxkc+A8h0o+GyehLSW74bpNh7odrpW5rTSwYEofE3ZpalDl9CLBoMHgdCvUXhlFRW0/TkNdcF1d25e16myKIvDZ3grUOLzISTICJ8qjSaeGSavC4QoHPt9XgawEU9hycaTChn98cQSHyu1QGp3Y41VOHCy3Y8652TGRvAZXZKRqdCddkdHdCNG2RPZUE9u2tNKGS2xPtbW34YfzEsQWjab+c1Wtbv2nrfuqVPX7tuWYajVgMAC9egGjR0f6bFA0inyWEkW8Xi8uvPBCvPDCC+jXr1+kw4lJ+0vr8MqWw9hTaody4grU7fNjT4kdr2w5jOwkY7uSnu42DvRUx9y21KpaUO2EXi1HTVIXSkG1E98eq0JZnQs+vzixXJ4aXr+CMpsbKlnCtqNVrQ5FaOk87C2pg93jQ59EY7uGO+SnWpAzzoRtx6pQYfcgyaTFGVkJUKtDr+HekTp66a7WktjgfRr/3l9Shw92leJgmb2+W7NahZxEMyYMTEHfZEuz47Z0O/i+g6U2vP5NAarsXqSYTbCoVXB6/fjimAs79xR2q2QmVKvp98drY6LVtKTWhWOV9etNI3gyT0lCikWHoxUOlNS6Qk7YpSgC735XhN1FtdCoZZi0aqhVEnx+AbvHh91FtfjP9iLccn5+1PScOBWtVWQcKnfgkx8rcOkIE4SQTrmVtKXEtqMTYq9XDadzEiRJ3WL3ZIodkhQ6QT2Z5LYtPyeb2KrVgCz7UFT0JXJyRkGnU7cpsW64rVI1//iKBL0e6NMn0lFQtGKC3ohGo8H3338f6TBilqIIPP/RfnxzuAqKosCsrU9w1LIMm9uLbw5XYemm/XjishGnfHEWjeNAO1pb1ucuq/NgVN+EqB2HX+fy4miFA35FQVKj9eC1KhUSjDIqbG4crXCgxuFFZnzollJFEXhvewnKahqdBwUwqjXom6DGt8eqUV7nRl6iBb7GXchE/WNpoIbd4UZlrQ8pxp8uLl2un/4WAjhQeiIxLbfB5VWgV6vweXI1Jg5KRV6KJWRswbdb6xod7u9DpX5UlEkwJ+pQa2/6WgoAXp+M8ko/9h30Q6lr3vIbfLxTVd8aWHiiNdCAJI0KTrcf2/Y6cOB4+xJoRRH4aGcFKuvql947lVbZaBFLraahxk47vH64/X6kanQh/0evkVFh88PhDT0UrKjGie3HayBJEuINPy1NqFVL0Kg0KLd58N2xGhTVOJGZYAyMjw3X2tnaONdTaV1trdtwW5Jbl1ug2p4OiAwIRYbiBxSfdGIZNglCqX/eD3XOS9dJJADdo+x2NVkOnRR2dmJ7Kklw49haazGOlp47ofj9Anv3lqN/fxHVcRKdKiboQa655hosW7YMjz76aKRDiTlHKu34bH8FPP76LKLWXZ8FVRZr4VMkQJKw8UsHPs11ICvR1KSGs+Hvxr/DJR1qWDA5qy8+21eOI0fs8Pi90Kpl5CQlYVx2MrQuM44eDR9nqMdtSag4WkqIGt+nKALFtS44PD4YNGr0CjOBUOP/Kax2YdtOD+L0FlQWN+/GL9eZUVxQjTKtFh5j8/v9igqllQK79vjhTml8IV4/i3paXPPW2o6265iCyiItTDoVbI4QMbo1qHX7sHuPAq0j9DGKql34docXFkMcKkuaf5QZ3XGoKqnGfq1Aalzzx7C7ffA4Dagu1eCo56cuxceP/3Rh0jQxNSJRo4LT6cfXu5zYe7jzW3aFWw3Zq0V1rYBJ1/wqxO72QeXXQKWo4XZ3Tgwd0a25Je1tle1opzqpV2efp5a0JbkMNYtxuAS1pMaFPYV2lNd64fEJqBQZFr0LiQYd9hX3wl5Zhgoq+P2A8J9IPP0SPF4Bt0fg+H8NUEnNH6PGoUFR1UDIQgaEDKFIUPwShILA34pfwpTH5W4+Y7sMQBvpIKLOqSSrJ9u6eqpJcHuSZ7nzO1MRUQ/DBD2Iz+fD3//+d3zwwQcYOXIkTKamk1A8+eSTEYqs+/vmcBWqnW74/PWtfz/lGxJ8igQJQI3Di+1Ha5Fhbd/kHxlxZlx2uinkhbbL1c4n0kFOdQKhWocfTreCZKM65EylRrUG8Euoc4Ueh+9wK9DIKuhVahwqi8wkRkatGjq1Ch6vgFEjmg1F8PgU6DUqGHXhP6Jaa81LNGmh06hQVudGanDyJwTK6tzon2ZBWpw+5P9HMuFqkBanR1aiEftK62DSqlp8Dp01W3RnJ9DtbZVtq9bGx/p8wLEKO746UIOiKjfcHgVqSYUkowGDe8Uh0Who1vra+O/KOi+27tdDI5twXFJBaZS4Kn7A7UnE/zzAl6/5oWmlm7DX29CleAJkWd1qi23Hj4/Vn/gJpfVeN4fD3qM58dOybpuXd5DOGB97sscJvi3LPpSUfIXs7LOh1apP6fHbU+/L2fCJqCdhgh5kx44dOOOMMwAAe/fubXJfZ7cqxjqb24uWrrEFAJ8CODpohnVZllpMGNr7hd+e/29PV1ijRgWdqn6MrilEAivL9d3da51eZFj1YZM6l9ePt77r/O64oc6TSatGRrweRdUu1Di9MGpVUKtk+PwKHB4/VCoZ6VZdi5P5tXYe3D4FGfF6GLRqHK6oTzD1Ghkur4KyOjesRg3G9ksK+5o1SUxRP5mhV1GgkWWYdaouadmVZQnn9U9Cqc3V4nM4VmXvsIoWIZomjEVlflRXSdD7tKiukeH316913ZB4er0alNZ48IUMpJhCJ5AtJbbVNh1+OJKOHyUZsiTXH/dEd2ChNLTKAgffNkAttb0b86mNjzXh1GcG1gJIa3WvfW0+ngQg7hRjiX3hxseeTNLZUcls8H2yLPDJvhIU1jqQkaCDSg3IKgFZBciygsJaJ/LTTJh1ZibUaqDK6YJH+GHWq5CRoIdKFX3XGvVdissi0qWYs+FTR2JlD3UHTNCDbNq0KdIhxCyvr23tIj5/57eftPcLvz3LBLW3Zba1VtVymwfDs+Lh9vnDJnXn5idh877Obx0Od57H5CdhUC8rPF4Bn1BQ6/TB4fVCJclIMGmhlmQMTreGbd1uy3koq3NjcLo18FyPVTpQYfNDq1Khf5oFY/u1/Fo3tOxqfRIOltlR4/TCLxSoJBlWgwYZVj2cbgUVNX4YpdBJ6MkupRP6xwxbXV8cLXXiB7sPPp+AJGQYNRqkmPR47F3gcJkTbm88NFISJEWG1we4PQpegox4gx8qqNoUj98fav1YM4CBrb7WH7S6RzgaAEmt7nXslI/fszWMJW087rRxt+HGiaaQFFQ4XNBoAI1aOpFU1idkskpAgQI/FGQl6VHn9qDG7YECBRoNkBKnRd80A5Ituha6Kwt8sKcIe0tqodYARp0EtUaCAgVuvxd+ITAix4prRveBRiOFTIgbj4+N3gttCX0Gm7FmWw1qHA7EB30GZ/bW4KIz4uGEHZ/tYeLZklif1yE6ymvPwcoe6i6YoLfg2LH6S8KsrKwIRxIb9hTXtmm/Q2W2To2jvV/47V0mqL1dhtvSqjpjeDoABL6IghNTrUrV6eN+j1TY8Mb/ClBt9yLJqIdVq4fDpeCHAw4cOu7D8MwEGL1+1Nh8SFarAUWCzwc4qhQYtRoYLCn47DOphcRWQllNLxw6YsAulwKDWgMZEjxewOZUoJETYEswY7dGA6/XhDqnH26PgKTIOCLJ2OSTghJhFWy28VCr1fD5ALfHiGp7f/h89a3FEBKEX6qf5Mkvob6FE1h9SmfnZGnR8pjW8N2Gizs8ltgkyU2TUVVDi6dKQJIFhCSQbNFAr5PDTAQlUFjjgN3nhcWgqj+OWkCW649h83iQHKfFaVlxTZLP8ONafSgp+QbZ2WcGZilua6J9quNjD5Q5sHLLYWQlGEMmDn5FQUGVE5MGp+FwmR17Surg8vqhD1RQqpGdFHqowomzjGGj4/CPL6oafX4KqCBBJ0nom2zCnHOTkJ3UetIS7Rfa2UlmzDojM+xnMICYSTw7SzQMMzoZLSXg0V5ee4JYquyh2McEPYjP58P999+Pv/71r7DZ6hNFs9mM22+/Hffddx80mtbHz1FoB9qYeB+tCjMrWAdo7xd+RywTFGrMrRCon+nXL0HyqVBX68PxYgVwhusqbEY/KQvflddi+24n3F4BtaRFL3M8ElMt+PYzPbxeQPaaEGfzwuEWUEFGzRE11n4toazWg++PJsOk0fw0OZPy05hZvw+wu/zY9YYGWrltrb1NW2IF3B4TFP+AsK/FPwEAiWHv/0+bXlEdgNSw9+4I/CWh9Y87GUB80G1O9BSsIXmVVAKQBNRqwKiXodfKYZPHxrfDJZJOnwfFdS7YPR4IWYFaJSHRokZemhEpVl2buzEH3xf8+M1bdYEjVTb8c2vriek1o3OQlxLuAk7CkQqBNdtKAheAwRVn9ReAbUsk6rsUl3Rpl+LWho24vAo8fgUf7y6D168gLU4Pg0Z14iLXhlKbu9WL3OwkM+acmx3ogeTyKtBrZAxIizupHkzd4UI7O8mMrFHN50IBgFVfHu02iWekRNsEki1pKQEHWBkTad2tsoeICXqQ22+/HW+++SYef/xxjB49GgCwZcsWLFq0CBUVFVi6dGmEI+y+TNq2VW4YNOGLZfD42JNdSqes1oPPf1BBp07CTkkF/4kZhP0nxr06PRbscwkc/8IHg1rTLAmtdfjw1cF4+Lzx0MoqiBNL5ignklyPR2CfkPHBcwokoQqZvHq8JjhcAwPL7TTMXBxsTatnyojWJ2ySEDrJ1AJIafURjre6R0uP23Od6vjYk20lrfN4sLOoCglmTaDlt6EVWFIJSLKCapcH5w9MRmaiodVxtS0l1gU1NnxxoP4C1OOvbw3sk2RsdahA22mhKJqIdAE1aVtPTLUqFYyaljPl1lpNo/0ivLVhI6W1rvpZ3SUFfZNP/SI3XOIa7bPln4pQc6EUVTu7TeIZSV01gWR7tVRhVFLngk4ld5vyGqu6U2UPEcAEvZlVq1bh3//+N6ZNmxbYdtpppyErKwtXXnklE/R2GJIZh80HKwEAzkPJKPmiH373uoTjVWooigQoEoQi4xO1Guc9G7qVtv3L7ugA9G51r/+FvUeDtiS2u1rMbNvSmtszyLKAWi2FHWfanlbScMcKlySrVD6Ulm5DVtYZ0GrVKLM78eGeYpgNKpTbXXB4vVAkP9RqCXEmFdLjtXB6fZg9qjfy0sxNYumMZXdCdZ8sqfVjxeZKWAzqkIml3e1DndOHKWOSkR7fvsfPTTUjJ/nUkqq2am1ix85yMrPlt6Y9yWdHabwcZai/G+/T9LaESUOTUPmNE8dq7Uht1AugtM4Ng0GCUAEZCVqotQI2tw8+RYFGlmDSqZGRrEGhzYZarwsZCS2/jn4/oPcCikpArwX0+ubvm1Cz0xdWu1BYZ0N6ohZqLQCIJs8lPUmLgjobqj0uZDaKoa1zvIbar2Fb43jC/d0WSp0PfpUXcWYtZKn5P1s0Eqo9XigqHwxteDuEijk4prYuBxru/xpem4bPuJa09NgNf7cWnxAnKs7UMly+5hVnkgQ4vX7oNDLMelWrMYXS0vsh3GsavF1RBL44UI46twd9U0yByYQtajXMehV2F9eiwubF8CwrpODPAElCapwORyvtKK079cSw41dxiD3dpbKHqAGzhCA6nQ45OTnNtvft2xdaLbu7tsfInATgs8MAAMWpget4YsgZjetO/NBPgida8go/vIo/MDOwJNePk4WkALKA1ahGVrIeGo0UNjl1+b04XGmDT/hh0svQaiQokgKnzwejXsbwPnFIPdG1uKXW3lAJcqXDhXe/L4DFKMPUMB73ROuurAJcPi/sbh/mnpcTNbXV9V2KiwJdiouqgX3CBYtBjcFaNWxuqcks7naPH3VOgfRUFazWzo0t7GR7/ZI6LLFsi0gl0KeiISGV5eZ/N9z/074SpoxIQvU3DhQ46k503Zbh8vpRWudGWooG089KQnKy1Oz/Q/+WkJFhaMN+4RNnnw/Yuxfo06f+PdU85qb/H+p5nYrsbDMyszKxfkcJDpTZUOPzQ6dT4dxcM/JTzXj7uwLoDS4cKHeg0uGBT1GglmUk+rXISTZCq/UiLsWL3r3Cl5P9pXWB47t8fujVKuSlmDF1aBryUy0txufUeaFNcCEjWQ2V3HxqfouiwF3uQnyqF1ktxBBRJhWS9yvQGl0hl8Ksc3mRrFGQ31eFrPCjgLqU1wvs3AlkZ/9UHjtbvqLHD3Va7CisQXaqudlynJWlNpzZz4oxp+sjthb5sUonajTVGNBPA4u+eXl06AWKD9ciPs2AhBALRCQoCg6XO5Ga5UW/Diqvba1Iaq2CprW/Q1W2dNXfDatyJCScmOCylfhS/TIsFkBRe2HUqdH4qQshwe72wWiUkBSngtHYeqXSqf7deBsXhqKWMEEPctttt+GBBx7A8uXLodPV17S53W489NBDuO222yIcXffWZMksVedU+bbWbVitFqjzeOFVfDDo5J+WvjmRPLr9PsQZ1chNNQYmcmqchDq9Xmw+WAY/6pPahuRYVglAFrB7vdBrJVx2ViaS43Rh4ymzOfDezkIU1jogJAWSXH8clVogJ8WIq0f3Rm6qOfD4jT/IC6qcWLR2F2pdHsgAXD4BRQjIkgS9WoICIE6vxaKZg5GZ0FIXeA2OVGjw2d7aMN2WW5rsqWWKosMhjxr7SuuQkWhsljgWdnDi2BmatKomGWHWNyq/nZD8htPaeNvRua0vw9bQets4mWvpJ3jfxrdbuq8txwz1O/jv1vYJt29wnCcjM9OMXum9A4ljxYnE9OwsM6YMSUN+atd2T29IOLTarkuIGuSnWpB7vhkF1U7YPT6YtGpkxhtQUO3Ea98cw7ajVfD5Bcx6NTQqNbx+BaV1LlTY3chKNLa4POL+0jos33wYlXYP0q16GLUGODw+7CisQWGNE3PH5LSYpJu0aujVKjg8Pph1atS5fPD4FWhVMix6NZweP3RqVYsxRFpmvAF5KWbsKKyBWadulngW1bgwLNOKzG5SGdZZZFnC1KFpKKxxYl+pDelWPQxaFZweP4pqXEg0aTFlSFpEu4bbPT64fH4YtaFfqzi9BhKAWpcXCabmjTydUV5b+lyNFV5v/e+kpLZ9PqamGnBakR47CmuQnti8sqe01IbTB1lx5pDIVfYQNRa932AR8u233+LDDz9E7969MXz4cADA9u3b4fF4MGnSJFx66aWBfd98881Ihdkt/XCsJvC3Lr0avWZ8i6v7+7HyBz284kQLsCzws9PSMPW0Xq2Oj5VlgUpH/fqxFoMK6fFtWT9WwpEKT5OE52QmclIUNZ7/2I4v9pdDo6rv1tmwfrfd7YPBL3BufjKuPl8b9kNeUQRWfVmGuF4uDBtsgt2jBFpmTVoZRyqd+LawAgN7hx6TdrzKiUqHu34taiGgVcuQJQmKABxeBZIkocrhxvEqZysJeud1x23r+t3RPOYu5HPQyvD4/CizuZFo0WDikCQYjVKTRLRxi21btoe7gJKk+rLyn30l8OkcGJ5lOrGvH5CATKHF/jIbqmUVbvtZBj7cXYKD5XbU+nzQG1Q4N78+seyXZj7lpDUWKYpolng2lMNwiWk0l9POIssSshKbfn6kx+nh9iqocnjRJ8EA+cSHnE6tgsYo4WiVE2k+BelhKq0URWD9jhJU2j3o16hF1KLXwKxTY1+pDRt2liA32Rz2nDckt1sPVsCn1Mfi8ytQq2QkGDVQyzJG5yVFdXLbHRLPaJGfasHcMTmBirOSWhd0ahWGZVpPVJy13OOiszWuMArVG0IlA1aDBlUOD/okGlkZEyF8z1F3wwQ9SHx8PGbNmtVkG5dZ6xj7Sn+axV0d54JpWAHOO9uPtxxxcPl++lCU0zQ488xeLR7rSIUNn+0+tSVL2jORkyxLmDE8HZV2Dw6W16+NLYSAJEnQqlUYmGrCjOHpLX7IN56sRJJlmPVNM/nWJitRhIDH6wckCUatKjAdm0qqH0fl8Pjh94smS8C1pLO6LXfmhFmNE15Zbvp3a8lwuB+/v75Lce/e9a2WkgTk5prRJycDG3eV4GC5DXafHzqTCmP6dU2r6rFKJ47b6tAnTQudHgCavqZZKTocqbbBasnA7ZPzmFi2oi1dq0Mlpj1RqIqMoloXdBoZ8QYNqhzeEy3oMrx+BTaXD/FGLbRqGUW1rpDnsKDaiQNl9RfHUlCNkSRJSLfqsb/UhoJqZ9jXQJYlDEy34K3vClDn8iLJpIXVqIHT48fBcjsseg0G9LJ0SNlvqTKnvaI98Ywm0Vxx1lpviOJaN87JTYLrxEoHTAwjh+856k6YoAdZvnx5pEOIWVZD29YKMuta7l/UEUvstKflODvJjMmD07Dmf8dxtNIBr1+BRiUjw6rF5MFprT52eycrMWrrs08RJgEXJ7q7G7Vd308rOOnN72VGXpoJpTYXXL76C6uMhPqeDsGJdbgkO9R9J6vZhba1+cVdQ5c5vb5pl7kB6Rb0S4vMxWFr3ScNWhVKal2we3wxkVh2ZkLU3q7VPUm4iox+vczQqmWMzE7EoXI7qhwe2Nw+qGUZqXF6ZCcZUev0wu5pPhYXOLnyHI6iCOwuqkO6VY8UkxZVTi9qnV6oZBm5ySaoVTL2FNdhwoDUdpWd9oyTb6uOSDw78z0TTaL1860tLbNXjeoDAEwMo0C0VPb0lPctnTom6NRleieFmCElhF7x4b+EO3KJnVNtOT5SYcOWgxUwalUYmZ0AlSzBrwjY3T5sOViBjHh9i0l6W9YabmlJJ5NWA6tBg2qHBy6PHxqNCioJ8AvAeyKpjzNoQi5rF6q7dWsJcfDf4X7Ck5CLyHXf64gL7UhdHLbWfbI7jLdtq85MiDqia3VP0VJFxt6SOnh89euWn5WT0Gz8t83tg9urhC2PHVGeG1rh+6WaQ45Bt7l9rbbCt+ccdHRlTns+W7qiEoFa19aW2WhIDCnylT1831JbdP+rOuo2Us1tm0wryRR+crKuXMsy1LJWAAIVBH2TTc0mP2tLBUFg8rGyOpj1KsiyBEkSqO+rLlBV58Sg3hbkZ+oDE8Q1TqjdKhUG5GhxqNyDOpcHQgL8koAEQCcBcUY18lPVGDRAhT5JrY91jmXdvdW0p0wm1dmvU0d0re4JWqvI2Ftig9uroLDaif5pFsQZfkqy21IeO6I8N26FlySpSQxA21rh23MOoqUyp7t/tsWatrTMRjoxpMjj+5baigk6dRkhATKAlpYyl0/sF05XrWV5pMKGzfsrcLTSDo9S36qTk2zEoEwLih02ZKZooNcLQBI/JcCyQLZejTJXLRS9E5lJxjCtzxKuTUjEii9qUWmvatYlrk+WFpePSUZmaugTkZBgwDkD44BDXnh9apTZPIFu9qlmHdRqGWfmxiM72dAhs5F2165Y3eVCuyU9YWKbrnidOqJrdU/QWkVGRrweRysd0GlUp1QeO6I8d3avkmirzAn1+Qug23+2xSIm4NSSWLgmoa7DBJ26jEHTtmxRrw7/wWTUqKBTy3D7fTBrNIGW54Yk2e7xwWQG0pJkJCSE78IdbmZtWQYOltfh452HUSl5kJOrh1GrhcPjQ2FNBYqOVcCl9aF/ejxUcvNKAJ0C1JV7IOt9sLRQCdov7dQnK2l8kVth8yAr0RToZl/n8iHJ3HFJW3fuihVtF9qnKtYntumK1+lkkrruWiHVEdpSkaFTy5g+LB37SmynVB7bW547u1dJNFXmhPv8HZ5ljYnPNqKeJFauSahrMEEPcvDgQeTm5kY6jJhU5fCG3C4b3FAp9R9WsiSgjnOjT5/QY6TzhR47bFrsKKxBn9TQa1mOGGDFiP6n1nqsKAIbdoav4dx+vBrlNg/sbi/iDO1b07Q9k5UEX+Q6PD7o1Cqc1rvjkrbu3hUrmi602ytaJrbpDF3xOrU1qXN6fVj68YFuWSHVEdpakTEoPQ4XDEo75fLYnvLc2b1KomXeh5Y+f3cW1cDm8iEjTCVEd/psI+opYumahDofE/Qg+fn5GD9+PObNm4df/OIX0OvbNm6a2kCcmExMadrNXdb7IPslyKi/X6cTCHfaJalzL85aq+HMTTahrM6Ng+V2DO+taXfrTXu6xHVm0hYLXbGi5UK7o8Rq98nGr1OoSb864nVqS1I3oJcF//jiSLetkOoIJ9M63d7y2N7Pvs7qVRIN8z609vm7/Xg1Kmxu2N2+ZmPwge732UbUE8TaNQl1LpaCINu2bcPy5cuxYMEC3HbbbZg9ezbmzZuHs88+O9KhdXvJFh3UKhkuJfQodAWATiUj2RJ+kjigcy/OWqvhNOrUSDbrYDqRpEZ6THBnJW2x0BUrGi60qXUNr9PWgxXwKQqqHF74/ArUKhkJRg3UsozReUntfp1a+ty4YFAaNu7q3hVSHaE7zXnQWRWU0XAO2lZR7MHBchuG947nZxtRN8BrEjoZTNCDjBgxAk8//TT+8pe/YO3atVixYgXGjh2L/v3744YbbsC1116LlJSUSIfZLeUmm6BVyXB5w08Tp1XVr2Xbms66OGtLDWeyWYdLz8jE9mM1MTkmGIiNrljRcKFNrZNlCQPTLXjruwLUubxIMmlhNWrg9PhxsNwOi16DAb0sHfI6hfvciIUKqY7SneY86KwKykifg7ZVFGujpqKYiFrHaxI6GUzQw1Cr1bj00ksxffp0PP/887jnnnvw29/+Fn/4wx9w+eWX47HHHkN6enqkw+x2FCFavN/fyv2NdcbFWVtrOM/NS8a5eckxOSYYiJ2uWJG+0D4ZPXVyMkUR2F1Uh3SrHikmLaqcXtQ6vVDJ9ZV1apWMPcV1mDAgtUPOR6jPjViokOpIsTznQVtF8hy0taL4kjMy8X0MVxQTxZrudE1CkRXdV9cR9M033+Dvf/87/v3vf8NkMuG3v/0t5s2bh+PHj+P+++/Hz3/+c3z11VeRDrNbOVhqh6uV5c9cXj8OltqRk2xu9XidkdCcbA1nrLamxVJXrO6QbOwvrcO6H4rxQ0EN7F4fTBo1hmVaceGwXjH/hd3Qet0v1RxyDLrN7ev01utYqZDqSLE658HJiNQ5aOvn75i8ZIyJ4YpioljUHa5JKPJ6ztVGGz355JNYvnw59uzZg4suugivvPIKLrroIsgnpgTv27cvVqxYgZycnMgG2g3tLauDr6VF0AH4lPr9JiKtxf32l9Zh3Y76hMbh8cGoPZHQDG1/QsMaztjrihXNycb+0jo89cE+7C2pg1/5qQfJoQo7dpfU4c4L+sV0mWvcei1JUrNJr7qi9TqWKqSo+2NFMVFsi+ZrEooOTNCDLF26FDfccAOuv/76sF3YU1NTsWzZsi6OrPtr3Hounfhp/LcIsV8ogYSmuO5El3gBQMKhMjt2F3dMQsMaTlZUdAVFEVi19Si2H/v/9u48Pqr63v/4+8yeZLKSjYQ1hEW2ilAR8boiWFyu1ge21wUUL629KALiFX8tKNalWLGotaJW8XFbrbZX22ttq6SUUrGgFEVAEQlLgyQhAZJM9pnMnN8fISmZhEVJcg6T1/PxSGXOOZn5MP0yM+/5bpXyuBxK9LnldhoKhU1VN4T08b5K/er9In3/8uEx2/bs0Hsda19I4fTH6y8A9FwE9Cg7d+484TUej0czZszohmpiS1aSrzWIN0fqZkeHc+PIdccSiZh65f0jgcZpKDHOLbfToVA4our65kDzyvtF+sFJBJoTDZHnG06+qOhMHbW3fRV12rDnsByGoV4JntaeW6/LkCfBowOBRq3ffVj7KurUv9eJF088Hdml95pABLvh9Rd201PXSgG6GwFd0pYtW0762tGjR3dhJbFtQK8EuY70Dhr6117oEf0rpLudhgb0Sjjmm8AXFXXasPuQnIbUy+89KtA45fE7dCDQoPd3H9IXFXXqd5xAU1hW3fpBvKEpLJ/LqUEZfk0ZyQfxaHxRceqO1d5SE9yqrA8q46i23MIwDCXHu3WoplF7DtbGbEC3U+81gQh2w+sv7ILPTUD3IaCreWs1wzBkHmMF8ZZzhmEoHD7+8GscW3KcW5l+r0qqGhQ9Fd2U5JCUkehVoCGkZ/66q8M3gS8q6lVVF1KvRM9xAk1Quw/WHjOgF5ZVa+V7e3W4NqjeyT7Fe+JUF2zStuIqFVfV65aJA3izQRun0mtwvPbWEAqrKRyRqWPtXnDyuxqczuzUe00gAoC2+NwEdC8CuqQ9e/ZYXUKPkOhzq1+veJXXNCoYbh88XE5D6X6v/ri1VMGmSIdvAiNykmQakqFjhaMTD2t/Z9sBHa4NanCmvzXkJ/rc8h/ZU3bVJweUl+6n16yTnO5D4k6l1+BE7W3zvkqZkqrqQvIlOdsN766qCyklzq289NjsPT8avdcAYD98bgK6HwFdUv/+/a0uoUfoneRTVV1ITZGOewWbIqZKquqVneTV0OykDt8E9h6sVYrPrcq6kLKSHB0GmuQ4jwYeI9C0bOnUO9nXYQ9872Rfl2/p1JOc7kPiTrXX4ETtbVBGgvZX1qu+MaxDNY3t1lSImNL4vF7qk9oz2iK91wBgL3xuArofAb0DO3fu1Jo1a1RWVqZIpO1g7MWLF1tU1elvX2Wdvqis1zFmEihiShW1Qfm9zmO+CZRXN2pEbpI27D6sQ7VBJfpc/wo0DU2KmKYm5KWp7zECzdFbOnWkO7Z06ilO9yFxndFrcKL2Fu9t7iWWIZVWNqi6oUktSyg6HQ59LSdR14/vR68EAMASfG4Cuh8BPcrzzz+v733ve0pPT1d2dnaboGgYBgH9FPxjz2HVNjYdd1ZtKCJV1IXUJ639ueY3gYi+MTpX9aGIdpRW63BtUKYpGUbzQnFf65ui/zhOoLHDlk49QSwMieuMXoOTaW/pfq+uOStXH++r1Nb9VaoLhhXvcWp0bsppM9IAABCb+NwEdD/+NUV58MEH9dBDD+mee+6xupSYUxxoUAdTz9upqA12eLzlTeCM7CQ5xxhauW6PdpXXKBiOyON0qF9qvK4Zk3vcQGOXLZ26i1Xzv2NhSFxn9BqcbHubOChdEwelM/8aAGArPe1zE2AHBPQoFRUVmjZtmtVlxCSP8+TCRk1jU+uq+S2OfhOoD4b1l8/K5Pe5dN7gdDkdDoUjzUPc//JZmfr3ij9mSLfTlk5dzcr537EwJK4zeg2+bHuz65cVAICeqSd9bgLswmF1AXYzbdo0rVq1yuoyYlJqvOekr9tZVqPqhpCaIhFVN4S0s6xGaQkeTRqeqYJPm4dOD8lKVE5KvLKSfMpJideQrEQdrg1q1ScHFDnGQnTSv7Z0GpmTrMq6kPYerFVlXUijcpNtPy/6ZLXM/95WXKWUeLfy0v1KiXdrW3GVVr63V4Vl1V36+EeH246cDkPiWnoNSqoa2m3B2PKFUX6m/4S9Bj2hvQEAYhfvY0D3su+n42705JNPtv45Pz9fixYt0oYNGzRq1Ci53W17zubMmdPd5cWM9ATvSV13xZm9VV0f6XA/ZK/L2SlDp2N5Syc7zP+OhSFxndlrEMvtDQAQ+3gfA7oPAV3ST37ykza3/X6/1q5dq7Vr17Y5bhgGAf0U1IRObjhzUpxHN47P7fBN4LPSQKcNnY7VLZ3sMP87VobEtfQatEwViP7C6Mv0GsRqewMA9Ay8jwHdg4Auac+ePVaX0CNU1nW8+NvRjCPXHetNgNVET6y7538fayG6zgy3VqLXAAAAAN2l56aYY3jggQe0YMECxce3DYf19fX68Y9/zDZrp6CxKSKH1OE2a8ZR/21sinRwRbPuHDpt1Qrop6o7v8Q40UJ0sRJu6TUAAABAdyCgR1myZIluu+22dgG9rq5OS5YsIaCfgsHpiXI5DTWFTTkdUktGcxiSy2EoHDHlchoanH7sntXuGjpt5Qrop6q7vsRoWYjucG1QvZN9ivfEqS7YpG3FVSquqm9dOIZwCwAAAJwcVnGPEr29V4uPP/5YaWlpFlTU3tNPP60BAwbI5/Np/Pjx+uCDD6wu6aQMyvIrK8krw5CaIlLLwtimKTVFTBmGlJXk06As/3Hvp6tXE+3MFdAjEVP7Dtfps9KA9h2uO+7q8p2l5UuMtIRjr4Z/ql9iRC9El+hzy+kwlOhza3Cm/6RW0wcAAADQFj3oR6SmpsowDBmGoSFDhrQJ6eFwWDU1NbrtttssrLDZa6+9pvnz52vFihUaP368li9frilTpmjHjh3KzMy0urzj6psar68PSNNbW0oVDkdah7qbR36cDoe+PiBVfVNP3NvaVUOnO3MFdCt74bt6/rcdFqIDAAAAYg0B/Yjly5fLNE3NnDlTS5YsUXJycus5j8ejAQMGaMKECRZW2Ozxxx/XrFmzdMstt0iSVqxYoT/84Q968cUXtXDhQourOwmm5HRIbtOQy9Ec0V0OKWIacjr+NRf9ZHTF0OnOCp4nO/y7K3Xl/O/uXogOAAAA6AkI6EfMmDFDkjRw4ECde+657fY/t4NgMKhNmzbp3nvvbT3mcDg0adIkrV+/vsPfaWxsVGNjY+vtQCAgSQqFQgqFQl1bcJR9h+u0q6xaaXFONQabWoc/ew1TcR7J63Gq8EC19pYHLOt1DdQ1KNQUkt/tkWGG251PcEsHm0LN1yV23EYiEVOrtharqrZBQzISjgT9iJK8DiVmxGlXea0KthWr78SB3bJYWnaiW1JzreFwk8Lt/1pfms8hJbgMNTQG5fe1fxlpbGxSvMuQz6Fub2dfVUudp0u9iG20x1MXiTSvudHyBWXvZN9pt0ClXdAeYSe0x87F82g/hmmaTBKNEolEVFhYqLKyMkUibVcUP//88y2qSiouLlZubq7+/ve/t+nN/+///m+tXbtW77//frvfuf/++7VkyZJ2x1955ZV2C+EBAAAA6Dnq6up0/fXXq6qqSklJSVaXA9GD3s6GDRt0/fXX65///Keiv7swDEPhzuh+7Eb33nuv5s+f33o7EAiob9++mjx5crf/I3z38zIt+M0WNTQ1P4deh6n7x0Z0/yaHGiPNvRo+l1OPTRutfxtizXz6SMTUC+v26NOSgAa19n43M01Tu8prNSInSTOP0/v9+YFqrVi7SwN7JXR4TTgS0T8P1em7FwzSkCx7rwh/PLvLa/TL94tUURtUdpJPcR6H6oMRlQYalJrg0Y3j+ykv4/gL/tlJKBRSQUGBLr30UluOoEHPQnv86qJfm+I9TtUFw6fta5Md0B5hJ7THztUyuhb2QUCPctttt2ncuHH6wx/+oN69e3e4ortV0tPT5XQ6deDAgTbHDxw4oOzs7A5/x+v1yuv1tjvudru7/UUtzudVdchUKGzIYUiOI0O/Q6ZDDWEpYkpNpqk4n9fSF9zJo3K0PxDU5+X1HWzj5tOlI3Pk9XqO+ftJ8T65XW7VhEwldjD8uzYUkcvlbr7uNH5jGZqTqhkTXa0L0TVWB+V1OTU8N7VTFqKzihX/NoBjoT1+OZGIqT9/dkgHa5s0ODOp9T08Ic6lPF/zzhardxzS4OwUhrt/BbRH2AntsXPwHNoPAT3Kzp079b//+7/Kz8+3upR2PB6Pxo4dq9WrV+vqq6+W1Dwcf/Xq1br99tutLe4k1AWbJNNsXgjObP2f5v+ahgw191LXWbyw2KmugN5d+5DbQVcuRAcAXxY7TAAATncE9Cjjx49XYWGhLQO6JM2fP18zZszQuHHjdPbZZ2v58uWqra1tXdXdzipqQ3I4DLmN5l6Oli2yI6aae9Qdhgyj+TqrnUrwbNmHvLiqXjvLajrohT/1fcjtpCtW0weAr4IdJgAApzsCepQ77rhDd911l0pLSzVq1Kh2wz5Gjx5tUWXNvvWtb6m8vFyLFy9WaWmpzjzzTL399tvKysqytK6T0SvRI4/TIdOUTKcpx5FV0p2G5HM7mnvRHc3X2cGpBM+u3occANBegscln8upumCTEn3th23WB8PyupxK8PDxBwBgT7xDRbn22mslSTNnzmw9ZhiGTNO0zSJxt99++2kxpD1aXrpfmUk+lVTWKxyJyH2kB9mUoVA4IqfDod5JccpLj43Fexj+DQDdqydNMQIAxCYCepQ9e/ZYXULM6psar6/lJmt/Rb1CEallDnooYioUaR7efmafZPVNjZ3h0gz/BoDu09OmGAEAYg8BPUr//v2tLiGmmUZzLDdNqeXjkXHktqnm3nQAAL4qphgBAE5nBPQO7Nq1S8uXL9f27dslScOHD9edd96pQYMGWVzZ6e2Lijpt+aJKDkPyupoXi5PUPNTdaO5B//iLSn1RUad+vRKsLRYAcNpiihEA4HTlsLoAu3nnnXc0fPhwffDBBxo9erRGjx6t999/XyNGjFBBQYHV5Z3WdpXXqCzQILfDUFqCVynxzYvBpcR7lJbgldthqDzQoF3lNd1STyRiat/hOn1WGtC+w3WKtCwrDwA47bVMMRqWnaS+afGEcwDAaYEe9CgLFy7UvHnz9KMf/ajd8XvuuUeXXnqpRZWd/g7WBNUUMRXvccowJNeRD0sup6FIRHK7HKoLhnWwJtjltRSWVbcOf2xoCsvncmpQhl9TRjL8EQAAAIA16EGPsn37dt16663tjs+cOVOffvqpBRXFjl5+j1wOQ6GIKdNs21ttmqZCEVNuh6Fe/q7dZq2wrFor39urbcVVSol3Ky/dr5R4t7YVV2nle3tVWFbdpY8PAAAAAB0hoEfJyMjQ5s2b2x3fvHmzMjMzu7+gGDIow6/MRJ8iEakuGFZjU0SS1NgUUV0wrEhEykj0aVBG122zFomYemfbAR2uDWpwpl+JPrecDkOJPrcGZ/p1uDaoVZ8cYLg7AAAAgG7HEPcos2bN0ne+8x3t3r1b5557riTpvffe09KlSzV//nyLqzu99U2N1wVDMvTmx/tVEwyr6UhAD9SH1CSH/B6nLhya0aXbrO2vrNeu8uatd47eH1dq3u++d7JPhWU12l9Zz/ZoAAAAALoVAT3KokWLlJiYqGXLlunee++VJOXk5Oj+++/XnDlzLK7u9OZwGJo4OF1//qxM9aFI8+rtktxOQ2bEULzXrXPz07t0IZ/aYJMamsKK98R1eD7O49SBQINqg01dVgMAAAAAdISAHsUwDM2bN0/z5s1TdXXzXOTERBYN6wyRiKnPSqqVkehRJBJRfUPzYnAOGUqNdysj0aMdpdW6aGhml4X0BI9LPpdTdcEmJfrc7c7XB8PyupxK8PBPAwAAAED3Yg76cSQmJhLOO9H+ynp9tK9CtY1N8rqd6nNkCHmftHh53U7VNDTpw6IK7a+s77IaclPiNCjDr5Kqhg4XqiupalB+pl+5KR33sAMAAABAVyGgRzl06JBmz56t4cOHKz09XWlpaW1+8NVVN4RUdKhOoaaIeiV45HE295J7nIZ6JXjUFI5o3+E6VTeEuqwGh8PQlJFZSkvwaGdZjaobQmqKRFTdENLOshqlJXg0eUQW++UCAAAA6HaM441y0003qbCwULfeequysrLaLSSGr66msUn1obA8LkPFlQ0Kh5ukPtIXlQ1yOl3yug3VBcOqaeza+d/5mYm6ZeKA1n3QDwQa5HU5NSo3WZNHsA86AAAAAGsQ0KO8++67Wrdunb72ta9ZXUrM8ftccjoMlVUH5TSkRG/zAA6X01B1Y0hVDVKvBI/8vq5vlvmZicq70K/9lfWqDTYpweNSbkocPecAAAAALENAjzJs2DDV13fdHOieLMHjktMwZJqS4Wi/xZkZMeU0jG5boM3hMNhKDQAAAIBtMAc9ys9+9jN9//vf19q1a3Xo0CEFAoE2P/jqDElet0NJPqcSPE41hZsXaWsKm0rwOJXkc8rndog+bAAAAAA9ET3oUVJSUhQIBHTxxRe3OW6apgzDUDgctqiy019dKKx0v1eGITUEw0qId0mqV0aiV7XBiHwep3oleFUX4jkGAAAA0PMQ0KPccMMNcrvdeuWVV1gkrpMleFxK93uV7veotKpR1fWNkiTTlLKS45Sd5JXUfUPcAQAAAMBOSEJRtm3bpo8++khDhw61upSY07IH+bbiKo3tn6K6hpCkSp09IE3xPrcKy2s1KjeZPcgBAAAA9EjMQY8ybtw47du3z+oyYtLRe5AXlteqZXCCYUiF5bXsQQ4AAACgR6MHPcodd9yhO++8U3fffbdGjRolt9vd5vzo0aMtqiw2HL0H+d7ygOSTqupD7EEOAAAAoMcjoEf51re+JUmaOXNm6zHDMFgkrhO17EFedLBaH6/fp9kX5atfeiI95wAAAAB6NAJ6lD179lhdQo/gcBjKTY3Tx5JyU+MI5wAAAAB6PAJ6lP79+1tdAgAAAACgB2KROAAAAAAAbICADgAAAACADRDQAQAAAACwAQI6AAAAAAA2QEDvQGVlpX7+85/r3nvv1eHDhyVJH374ofbv329xZQAAAACAWMUq7lG2bNmiSZMmKTk5WXv37tWsWbOUlpamN954Q0VFRfqf//kfq0sEAAAAAMQgetCjzJ8/XzfffLN27twpn8/Xenzq1Kn629/+ZmFlAAAAAIBYRkCPsnHjRn33u99tdzw3N1elpaUWVAQAAAAA6AkI6FG8Xq8CgUC7459//rkyMjIsqAgAAAAA0BMQ0KNcddVVeuCBBxQKhSRJhmGoqKhI99xzj6699lqLqwMAAAAAxCoCepRly5appqZGmZmZqq+v1wUXXKD8/HwlJibqoYcesro8AAAAAECMYhX3KMnJySooKNC6deu0ZcsW1dTU6KyzztKkSZOsLg0AAAAAEMMI6Mdw3nnn6bzzzrO6DAAAAABAD0FAj/Lkk092eNwwDPl8PuXn5+v888+X0+ns5soAAAAAALGMgB7lJz/5icrLy1VXV6fU1FRJUkVFheLj4+X3+1VWVqa8vDytWbNGffv2tbhaAAAAAECsYJG4KA8//LC+/vWva+fOnTp06JAOHTqkzz//XOPHj9cTTzyhoqIiZWdna968eVaXCgAAAACIIfSgR/nBD36g119/XYMGDWo9lp+fr8cee0zXXnutdu/erUcffZQt1wAAAAAAnYoe9CglJSVqampqd7ypqUmlpaWSpJycHFVXV3d3aQAAAACAGEZAj3LRRRfpu9/9rj766KPWYx999JG+973v6eKLL5Ykbd26VQMHDrSqRAAAAABADCKgR3nhhReUlpamsWPHyuv1yuv1aty4cUpLS9MLL7wgSfL7/Vq2bJnFlQIAAAAAYglz0KNkZ2eroKBAn332mT7//HNJ0tChQzV06NDWay666CKrygMAAAAAxCgC+jEMGzZMw4YNs7oMAAAAAEAPQUDvwBdffKE333xTRUVFCgaDbc49/vjjFlUFAAAAAIhlBPQoq1ev1lVXXaW8vDx99tlnGjlypPbu3SvTNHXWWWdZXR4AAAAAIEaxSFyUe++9VwsWLNDWrVvl8/n0+uuva9++fbrgggs0bdo0q8uLGZGIqf0V9ZKk/RX1ikRMiysCAAAAAGsR0KNs375d06dPlyS5XC7V19fL7/frgQce0NKlSy2uLjYUllXrmb/u0tNrCiVJT68p1DN/3aXCMvaWBwAAANBzEdCjJCQktM477927t3bt2tV67uDBg1aVFTMKy6q18r292lZcpeQ4tyQpOc6tbcVVWvneXkI6AAAAgB6LOehRzjnnHK1bt05nnHGGpk6dqrvuuktbt27VG2+8oXPOOcfq8k5rkYipd7Yd0OHaoAZn+uVQRKqX/D6XBvs82llWo1WfHFBeul8Oh2F1uQAAAADQrQjoUR5//HHV1NRIkpYsWaKamhq99tprGjx4MCu4n6L9lfXaVV6j3sk+GYYhHTXt3DAM9U72qbCsRvsr69U3Lb7L64lETO2vrFdtsEkJHpdyU+L4YgAAAACAZQjoRwmHw/riiy80evRoSc3D3VesWGFxVbGjNtikhqaw4j1xHZ6P8zh1INCg2mBTl9dSWFatd7Yd0K7yGjU0heVzOTUow68pI7OUn5nY5Y8PAAAAANGYg34Up9OpyZMnq6KiwupSYlKCxyWfy6m6YwTw+mBYXpdTCZ6u/d7o6HnwKfFu5aX7lRLPPHgAAAAA1iKgRxk5cqR2795tdRkxKTclToMy/CqpapBptt1WzTRNlVQ1KD/Tr9yUjnvYO0P0PPhEn1tOh6FEn1uDM/06XBvUqk8OsO0bAAAAgG5HQI/y4IMPasGCBXrrrbdUUlKiQCDQ5gdfncNhaMrILKUlNC8IV9PQ3JNe09CknWU1SkvwaPKIrC6dB95uHvxRoufBAwAAAEB3Yg56lKlTp0qSrrrqqjYBzjRNGYahcDhsVWkxIT8zUbdMHKB3th3Q3vKA5JOq6kMalZusySO6fv63nebBAwAAAMDRCOhR1qxZY3UJMS8/M1F5F/pVdLBaH6/fp9kX5atfemK3rKB+9Dz4RJ+73fnumgcPAAAAANFIIVEuuOACq0voERwOQ7mpcfpYUm7qV9ve7Ktsk9YyD35bcZX8Xle7URIlVQ0alZvcpfPgAQAAAKAjBPQOvPvuu3r22We1e/du/eY3v1Fubq5+8YtfaODAgTrvvPOsLg/66tuktcyDL66q186y5rnocR6n6oNhlVQ1dMs8eAAAAADoCIvERXn99dc1ZcoUxcXF6cMPP1RjY6MkqaqqSg8//HCXPe5DDz2kc889V/Hx8UpJSenwmqKiIl1++eWKj49XZmam7r77bjU19by50qe6TVrLPPiROcmqrAtp78FaVdY1z4O/ZeIA9kEHAAAAYAl60KM8+OCDWrFihaZPn65XX3219fjEiRP14IMPdtnjBoNBTZs2TRMmTNALL7zQ7nw4HNbll1+u7Oxs/f3vf1dJSYmmT58ut9vdpV8c2E30NmktQ9QTfW75vS7tLKvRqk8OKC/df9xe8JZ58F92iDwAAAAAdBUCepQdO3bo/PPPb3c8OTlZlZWVXfa4S5YskSS99NJLHZ5ftWqVPv30U/35z39WVlaWzjzzTP3whz/UPffco/vvv18ej6fLarOTL7NNWt+0+OPel8NhnPAaAAAAAOguDHGPkp2drcLCwnbH161bp7y8PAsqarZ+/XqNGjVKWVlZrcemTJmiQCCgTz75xLK6utu/tknr+LulOI9TjU1htkkDAAAAcNqhBz3KrFmzdOedd+rFF1+UYRgqLi7W+vXrtWDBAi1atMiyukpLS9uEc0mtt0tLS4/5e42Nja3z6CUpEAhIkkKhkEKhUBdUevJaHv/L1OFzSAkuQw2NQfl97ZtvY2OT4l2GfI4vd7/AV2mPQFehPcJOaI+wE9pj5+J5tB8CepSFCxcqEonokksuUV1dnc4//3x5vV4tWLBAd9xxx5e+r6VLlx73mu3bt2vYsGGnUvJxPfLII63D54+2atUqxcfbY3h3QUHBl7r+PJ8kU1L9MS7wSR+v36ePT7Uw9Ehftj0CXYn2CDuhPcJOaI+do66uzuoSEMUwTdO0ugg7CgaDKiwsVE1NjYYPHy6/3/+l76O8vFyHDh067jV5eXlt5o+/9NJLmjt3brv57osXL9abb76pzZs3tx7bs2eP8vLy9OGHH2rMmDEd3n9HPeh9+/bVwYMHlZSU9KX/Tp0pFAqpoKBAl156qdxu90n/3u7yGv3y/SJV1AaVneRTnMeh+mBEpYEGpSZ4dOP4fsrL+PL/f6Fn+6rtEegKtEfYCe0RdkJ77FyBQEDp6emqqqqyPBugGT3oUX75y1/qm9/8puLj4zV8+PBTuq+MjAxlZGR0Sl0TJkzQQw89pLKyMmVmZkpq/uYwKSnpuHV6vV55vd52x91ut21e1L5sLUNzUjVjoqt1H/TG6qC8LqeG56Zq8ojj74MOnIid/m0AtEfYCe0RdkJ77Bw8h/ZDQI8yb9483Xbbbbrqqqt04403asqUKXI6nV3+uEVFRTp8+LCKiooUDodbe8rz8/Pl9/s1efJkDR8+XDfddJMeffRRlZaW6gc/+IFmz57dYQCPdWyTBgAAACDWsIp7lJKSEr366qsyDEPXXXedevfurdmzZ+vvf/97lz7u4sWLNWbMGN13332qqanRmDFjNGbMGP3jH/+QJDmdTr311ltyOp2aMGGCbrzxRk2fPl0PPPBAl9ZlZy3bpA3LTlLftHjCOQAAAIDTGj3oUVwul6644gpdccUVqqur029/+1u98soruuiii9SnTx/t2rWrSx73pZdeOuYe6C369++vP/7xj13y+AAAAAAAaxHQjyM+Pl5TpkxRRUWF/vnPf2r79u1WlwQAAAAAiFEMce9AXV2dXn75ZU2dOlW5ublavny5rrnmGn3yySdWlwYAAAAAiFH0oEf59re/rbfeekvx8fG67rrrtGjRIk2YMMHqsgAAAAAAMY6AHsXpdOrXv/51h6u3b9u2TSNHjrSostgSiZjaX1EvSdpfUa9+6S4WeQMAAADQoxHQo7z88sttbldXV+tXv/qVfv7zn2vTpk0Kh8MWVRY7Csuq9c62A9pbHtB5PunpNYUakJGkKSPZwxwAAABAz8Uc9GP429/+phkzZqh379567LHHdPHFF2vDhg1Wl3XaKyyr1sr39mpbcZWS49ySpOQ4t7YVV2nle3tVWFZtcYUAAAAAYA160I9SWlqql156SS+88IICgYCuu+46NTY26ne/+52GDx9udXmnvUjE1DvbDuhwbVCDM/1yKCLVS36fS4N9Hu0sq9GqTw4oL93PcHcAAAAAPQ496EdceeWVGjp0qLZs2aLly5eruLhYTz31lNVlxZT9lfXaVV6j3sk+GUbbAG4Yhnon+1RYVqP9lfUWVQgAAAAA1qEH/Yg//elPmjNnjr73ve9p8ODBVpcTk2qDTWpoCiveE9fh+TiPUwcCDaoNNnVzZQAAAABgPXrQj1i3bp2qq6s1duxYjR8/Xj/96U918OBBq8uKKQkel3wup+qOEcDrg2F5XU4lePjeCAAAAEDPQ0A/4pxzztHzzz+vkpISffe739Wrr76qnJwcRSIRFRQUqLqaxctOVW5KnAZl+FVS1SDTNNucM01TJVUNys/0Kzel4x52AAAAAIhlBPQoCQkJmjlzptatW6etW7fqrrvu0o9+9CNlZmbqqquusrq805rDYWjKyCylJTQvCFfT0NyTXtPQpJ1lNUpL8GjyiCwWiAMAAADQIxHQj2Po0KF69NFH9cUXX+hXv/qV1eXEhPzMRN0ycYBG5iSrqj4kSaqqD2lUbrJumTiAfdABAAAA9FhM9j0JTqdTV199ta6++mqrS4kJ+ZmJyrvQr6KD1fp4/T7Nvihf/dIT6TkHAAAA0KPRgw5LOByGclOb55rnpsYRzgEAAAD0eAR0AAAAAABsgIAOAAAAAIANENABAAAAALABAjoAAAAAADZAQAcAAAAAwAYI6AAAAAAA2AABHQAAAAAAGyCgAwAAAABgAwR0AAAAAABsgIAOAAAAAIANENABAAAAALABAjoAAAAAADZAQAcAAAAAwAYI6AAAAAAA2AABHQAAAAAAGyCgAwAAAABgAwR0AAAAAABsgIAOAAAAAIANENABAAAAALABAjoAAAAAADZAQAcAAAAAwAYI6AAAAAAA2AABHQAAAAAAGyCgAwAAAABgAwR0AAAAAABsgIAOAAAAAIANENABAAAAALABAjoAAAAAADZAQAcAAAAAwAYI6AAAAAAA2AABHQAAAAAAGyCgAwAAAABgAwR0AAAAAABsgIAOS0QipvZX1EuS9lfUKxIxLa4IAAAAAKzlsroA9DyFZdV6Z9sB7S0P6Dyf9PSaQg3ISNKUkVnKz0y0ujwAAAAAsAQ96OhWhWXVWvneXm0rrlJynFuSlBzn1rbiKq18b68Ky6otrhAAAAAArEFAR7eJREy9s+2ADtcGNTjTL7+veQCH3+fS4Ey/DtcGteqTAwx3BwAAANAjEdDRbfZX1mtXeY16J/tkGEabc4ZhqHeyT4VlNdpfWW9RhQAAAABgHQI6uk1tsEkNTWHFezpe+iDO41RjU1i1waZurgwAAAAArEdAR7dJ8LjkczlVd4wAXh8My+tyKuEYAR4AAAAAYhkBHd0mNyVOgzL8KqlqkGm2nWdumqZKqhqUn+lXbkqcRRUCAAAAgHUI6Og2DoehKSOzlJbg0c6yGtU0NPek1zQ0aWdZjdISPJo8IksOh3GCewIAAACA2ENAR7fKz0zULRMHaGROsqrqQ5KkqvqQRuUm65aJA9gHHQAAAECPxWRfdLv8zETlXehX0cFqfbx+n2ZflK9+6Yn0nAMAAADo0ehBhyUcDkO5qc1zzXNT4wjnAAAAAHo8AjoAAAAAADZAQAcAAAAAwAYI6Daxd+9e3XrrrRo4cKDi4uI0aNAg3XfffQoGg22u27Jli/7t3/5NPp9Pffv21aOPPmpRxQAAAACAzsQicTbx2WefKRKJ6Nlnn1V+fr62bdumWbNmqba2Vo899pgkKRAIaPLkyZo0aZJWrFihrVu3aubMmUpJSdF3vvMdi/8GAAAAAIBTQUC3icsuu0yXXXZZ6+28vDzt2LFDzzzzTGtAf/nllxUMBvXiiy/K4/FoxIgR2rx5sx5//HECOgAAAACc5hjibmNVVVVKS0trvb1+/Xqdf/758ng8rcemTJmiHTt2qKKiwooSAQAAAACdhB50myosLNRTTz3V2nsuSaWlpRo4cGCb67KyslrPpaamtrufxsZGNTY2tt4OBAKSpFAopFAo1BWln7SWx7e6DkCiPcJeaI+wE9oj7IT22Ll4Hu2HgN7FFi5cqKVLlx73mu3bt2vYsGGtt/fv36/LLrtM06ZN06xZs07p8R955BEtWbKk3fFVq1YpPj7+lO67sxQUFFhdAtCK9gg7oT3CTmiPsBPaY+eoq6uzugREMUzTNK0uIpaVl5fr0KFDx70mLy+vddh6cXGxLrzwQp1zzjl66aWX5HD8axbC9OnTFQgE9Lvf/a712Jo1a3TxxRfr8OHDJ92D3rdvXx08eFBJSUmn+Lc7NaFQSAUFBbr00kvldrstrQWgPcJOaI+wE9oj7IT22LkCgYDS09NVVVVleTZAM3rQu1hGRoYyMjJO6tr9+/froosu0tixY7Vy5co24VySJkyYoO9///sKhUKtL0gFBQUaOnRoh+Fckrxer7xeb7vjbrfbNi9qdqoFoD3CTmiPsBPaI+yE9tg5eA7th0XibGL//v268MIL1a9fPz322GMqLy9XaWmpSktLW6+5/vrr5fF4dOutt+qTTz7Ra6+9pieeeELz58+3sHIAAAAAQGegB90mCgoKVFhYqMLCQvXp06fNuZZZCMnJyVq1apVmz56tsWPHKj09XYsXL2aLNQAAAACIAQR0m7j55pt18803n/C60aNH69133+36ggAAAAAA3YqA3sO09Ma3bLdmpVAopLq6OgUCAea/wHK0R9gJ7RF2QnuEndAeO1dLJmDdcPsgoPcw1dXVkqS+fftaXAkAAAAAO6iurlZycrLVZUBss9bjRCIRFRcXKzExUYZhWFpLy5Zv+/btY1sHWI72CDuhPcJOaI+wE9pj5zJNU9XV1crJyWm3gxSsQQ96D+NwONotQme1pKQkXmBhG7RH2AntEXZCe4Sd0B47Dz3n9sLXJAAAAAAA2AABHQAAAAAAGyCgwzJer1f33XefvF6v1aUAtEfYCu0RdkJ7hJ3QHhHrWCQOAAAAAAAboAcdAAAAAAAbIKADAAAAAGADBHQAAAAAAGyAgA4AAAAAgA0Q0GGZp59+WgMGDJDP59P48eP1wQcfWF0SYtwjjzyir3/960pMTFRmZqauvvpq7dixo801DQ0Nmj17tnr16iW/369rr71WBw4csKhi9CQ/+tGPZBiG5s6d23qM9ojutH//ft14443q1auX4uLiNGrUKP3jH/9oPW+aphYvXqzevXsrLi5OkyZN0s6dOy2sGLEqHA5r0aJFGjhwoOLi4jRo0CD98Ic/1NFrW9MeEasI6LDEa6+9pvnz5+u+++7Thx9+qK997WuaMmWKysrKrC4NMWzt2rWaPXu2NmzYoIKCAoVCIU2ePFm1tbWt18ybN0+///3v9Zvf/EZr165VcXGxvvnNb1pYNXqCjRs36tlnn9Xo0aPbHKc9ortUVFRo4sSJcrvd+tOf/qRPP/1Uy5YtU2pqaus1jz76qJ588kmtWLFC77//vhISEjRlyhQ1NDRYWDli0dKlS/XMM8/opz/9qbZv366lS5fq0Ucf1VNPPdV6De0RMcsELHD22Webs2fPbr0dDofNnJwc85FHHrGwKvQ0ZWVlpiRz7dq1pmmaZmVlpel2u83f/OY3rdds377dlGSuX7/eqjIR46qrq83BgwebBQUF5gUXXGDeeeedpmnSHtG97rnnHvO888475vlIJGJmZ2ebP/7xj1uPVVZWml6v1/zVr37VHSWiB7n88svNmTNntjn2zW9+07zhhhtM06Q9IrbRg45uFwwGtWnTJk2aNKn1mMPh0KRJk7R+/XoLK0NPU1VVJUlKS0uTJG3atEmhUKhN2xw2bJj69etH20SXmT17ti6//PI27U6iPaJ7vfnmmxo3bpymTZumzMxMjRkzRs8//3zr+T179qi0tLRNe0xOTtb48eNpj+h05557rlavXq3PP/9ckvTxxx9r3bp1+sY3viGJ9ojY5rK6APQ8Bw8eVDgcVlZWVpvjWVlZ+uyzzyyqCj1NJBLR3LlzNXHiRI0cOVKSVFpaKo/Ho5SUlDbXZmVlqbS01IIqEeteffVVffjhh9q4cWO7c7RHdKfdu3frmWee0fz58/X//t//08aNGzVnzhx5PB7NmDGjtc119N5Ne0RnW7hwoQKBgIYNGyan06lwOKyHHnpIN9xwgyTRHhHTCOgAeqTZs2dr27ZtWrdundWloIfat2+f7rzzThUUFMjn81ldDnq4SCSicePG6eGHH5YkjRkzRtu2bdOKFSs0Y8YMi6tDT/PrX/9aL7/8sl555RWNGDFCmzdv1ty5c5WTk0N7RMxjiDu6XXp6upxOZ7uViA8cOKDs7GyLqkJPcvvtt+utt97SmjVr1KdPn9bj2dnZCgaDqqysbHM9bRNdYdOmTSorK9NZZ50ll8sll8ultWvX6sknn5TL5VJWVhbtEd2md+/eGj58eJtjZ5xxhoqKiiSptc3x3o3ucPfdd2vhwoX69re/rVGjRummm27SvHnz9Mgjj0iiPSK2EdDR7Twej8aOHavVq1e3HotEIlq9erUmTJhgYWWIdaZp6vbbb9dvf/tb/eUvf9HAgQPbnB87dqzcbnebtrljxw4VFRXRNtHpLrnkEm3dulWbN29u/Rk3bpxuuOGG1j/THtFdJk6c2G7byc8//1z9+/eXJA0cOFDZ2dlt2mMgEND7779Pe0Snq6urk8PRNqY4nU5FIhFJtEfENoa4wxLz58/XjBkzNG7cOJ199tlavny5amtrdcstt1hdGmLY7Nmz9corr+j//u//lJiY2DpPLTk5WXFxcUpOTtatt96q+fPnKy0tTUlJSbrjjjs0YcIEnXPOORZXj1iTmJjYuv5Bi4SEBPXq1av1OO0R3WXevHk699xz9fDDD+u6667TBx98oOeee07PPfecJMkwDM2dO1cPPvigBg8erIEDB2rRokXKycnR1VdfbW3xiDlXXnmlHnroIfXr108jRozQRx99pMcff1wzZ86URHtEjLN6GXn0XE899ZTZr18/0+PxmGeffba5YcMGq0tCjJPU4c/KlStbr6mvrzf/67/+y0xNTTXj4+PNa665xiwpKbGuaPQoR2+zZpq0R3Sv3//+9+bIkSNNr9drDhs2zHzuuefanI9EIuaiRYvMrKws0+v1mpdccom5Y8cOi6pFLAsEAuadd95p9uvXz/T5fGZeXp75/e9/32xsbGy9hvaIWGWYpmla+QUBAAAAAABgDjoAAAAAALZAQAcAAAAAwAYI6AAAAAAA2AABHQAAAAAAGyCgAwAAAABgAwR0AAAAAABsgIAOAAAAAIANENABADiNGIah3/3ud8c8b5qmvvOd7ygtLU2GYWjz5s3dVs/evXtP6jEvvPBCzZ07t0vrAgDgdERABwDgKzAM47g/999//zF/92SD7Ffx9ttv66WXXtJbb72lkpISjRw58oS/01n19O3bt81j/vWvf5VhGKqsrGxz3RtvvKEf/vCHp/RYAADEIpfVBQAAcDoqKSlp/fNrr72mxYsXa8eOHa3H/H6/FWVp165d6t27t84999xuf2yn06ns7OwTXpeWltYN1QAAcPqhBx0AgK8gOzu79Sc5OVmGYbTezszM1OOPP64+ffrI6/XqzDPP1Ntvv936uwMHDpQkjRkzRoZh6MILL5Qkbdy4UZdeeqnS09OVnJysCy64QB9++OFJ13TzzTfrjjvuUFFRkQzD0IABAyQ196qfd955SklJUa9evXTFFVdo165dnV7P0T3xe/fu1UUXXSRJSk1NlWEYuvnmmyW1H+Le2NioBQsWKDc3VwkJCRo/frz++te/tp7/5z//qSuvvFKpqalKSEjQiBEj9Mc//vGknxcAAE4XBHQAADrZE088oWXLlumxxx7Tli1bNGXKFF111VXauXOnJOmDDz6QJP35z39WSUmJ3njjDUlSdXW1ZsyYoXXr1mnDhg0aPHiwpk6dqurq6pN+3AceeEB9+vRRSUmJNm7cKEmqra3V/Pnz9Y9//EOrV6+Ww+HQNddco0gk0mX19O3bV6+//rokaceOHSopKdETTzzR4bW333671q9fr1dffVVbtmzRtGnTdNlll7U+X7Nnz1ZjY6P+9re/aevWrVq6dKllIxQAAOhKDHEHAKCTPfbYY7rnnnv07W9/W5K0dOlSrVmzRsuXL9fTTz+tjIwMSVKvXr3aDAm/+OKL29zPc889p5SUFK1du1ZXXHHFCR83OTlZiYmJ7YaaX3vttW2ue/HFF5WRkaFPP/1UI0eO7JJ6nE5n61D2zMxMpaSkdHhdUVGRVq5cqaKiIuXk5EiSFixYoLffflsrV67Uww8/rKKiIl177bUaNWqUJCkvL++EzwUAAKcjetABAOhEgUBAxcXFmjhxYpvjEydO1Pbt24/7uwcOHNCsWbM0ePBgJScnKykpSTU1NSoqKjqlmnbu3Kn/+I//UF5enpKSklqHvp/ofruqnqNt3bpV4XBYQ4YMkd/vb/1Zu3Zt6zD8OXPm6MEHH9TEiRN13333acuWLZ32+AAA2Ak96AAA2MSMGTN06NAhPfHEE+rfv7+8Xq8mTJigYDB4Svd75ZVXqn///nr++eeVk5OjSCSikSNHnvB+u6qeo9XU1MjpdGrTpk1yOp1tzrUMY//P//xPTZkyRX/4wx+0atUqPfLII1q2bJnuuOOOTqsDAAA7oAcdAIBOlJSUpJycHL333nttjr/33nsaPny4JMnj8UiSwuFwu2vmzJmjqVOnasSIEfJ6vTp48OAp1XPo0CHt2LFDP/jBD3TJJZfojDPOUEVFRZtruqqeY93v0caMGaNwOKyysjLl5+e3+Tl6uH3fvn1122236Y033tBdd92l559//qTrAADgdEEPOgAAnezuu+/Wfffdp0GDBunMM8/UypUrtXnzZr388suSmudkx8XF6e2331afPn3k8/mUnJyswYMH6xe/+IXGjRunQCCgu+++W3FxcadUS2pqqnr16qXnnntOvXv3VlFRkRYuXNjmmq6qp3///jIMQ2+99ZamTp2quLi4dou7DRkyRDfccIOmT5+uZcuWacyYMSovL9fq1as1evRoXX755Zo7d66+8Y1vaMiQIaqoqNCaNWt0xhlnnNLzAgCAHdGDDgBAJ5szZ47mz5+vu+66S6NGjdLbb7+tN998U4MHD5YkuVwuPfnkk3r22WeVk5Ojf//3f5ckvfDCC6qoqNBZZ52lm266SXPmzFFmZuYp1eJwOPTqq69q06ZNGjlypObNm6cf//jHba7pqnpyc3O1ZMkSLVy4UFlZWbr99ts7vG7lypWaPn267rrrLg0dOlRXX321Nm7cqH79+klq7oGfPXu2zjjjDF122WUaMmSIfvazn33FZwQAAPsyTNM0rS4CAAAAAICejh50AAAAAABsgIAOAAAAAIANENABAAAAALABAjoAAAAAADZAQAcAAAAAwAYI6AAAAAAA2AABHQAAAAAAGyCgAwAAAABgAwR0AAAAAABsgIAOAAAAAIANENABAAAAALABAjoAAAAAADZAQAcAAAAAwAYI6AAAAAAA2AABHQAAAAAAGyCgAwAAAABgAwR0AAAAAABsgIAOAAAAAIANENABAAAAALABAjoAAAAAADZAQAcAAAAAwAYI6AAAAAAA2AABHQAAAAAAGyCgAwAAAABgAwR0AAAAAABs4P8D+zWpVRl2kM0AAAAASUVORK5CYII="', 'image', '{"params": {"country_code": "TCD", "start_date": "2008-01-01"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx", "time_period": {"start": "2008-01-01", "end": ""}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:22:25.519572'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('af936e2d-b976-40c9-add4-0209c0f2307e', 'dc555be4-8341-4af0-8ebe-e31211bac75c', '{"function": "generate_fatalities_report", "params": {"country_code": "TCD"}}', '"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"', 'image', '{"params": {"country_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx"}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:22:29.421153'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('1af54b12-e2cf-46a8-b0ad-3b833841a2df', '12ea59f1-b05b-4a86-aa12-a01ecfd28f1a', '{"function": "generate_commodity_price_plot", "params": {"country_code": "TCD", "start_date": "2008-01-01"}}', '"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"', 'image', '{"params": {"country": "TCD"}, "parameters": {"country_code": "TCD"}, "attribution": "None", "data_url": "None", "time_period": {"start": "2008-01-01"}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:22:40.092128'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('1f62a50e-59fa-4ab4-b5bf-5b5aa48a57dd', '0a2dd283-07b6-45f7-a400-59d59a19831b', '{"function": "create_bar_chart_of_humanitarian_organizations_in_a_given_region_disaggregated_by_sector", "params": {"region": "Wadi Fira"}}', '"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"', 'image', '{"params": {"region": "Wadi Fira"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:22:43.071820'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('570e26ee-3ff7-438f-b2d3-feb826b956b4', 'f6fe70c3-48ed-48cd-ac97-d762c72bbf5b', '{"function": "operational_presence_task", "params": {"adm0_code": "TCD", "sector": "Food Security", "region": "Wadi Fira"}}', '{"result": {"type": "text", "file": "", "value": "| Organization | Country | Region |\n|:------------------------------------------------------------------|:----------|:---------|\n| Association des Femmes pour le D\u00e9veloppement Int\u00e9gr\u00e9 | TCD | TD17 |\n| Association Tchadienne pour la Promotion du D\u00e9v\u00e9loppement Int\u00e9gr\u00e9 | TCD | TD17 |\n| BAP | TCD | TD17 |\n| Bureau Consult International | TCD | TD17 |\n| CA17/PREPASS | TCD | TD17 |\n| CARE International | TCD | TD17 |\n| Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement | TCD | TD17 |\n| Croix Rouge Tchadienne | TCD | TD17 |\n| Food and Agriculture Organization | TCD | TD17 |\n| German Development Cooperation | TCD | TD17 |\n| Hebrew Immigrant Aid Society | TCD | TD17 |\n| International Cooperation and Developpment World | TCD | TD17 |\n| KITES | TCD | TD17 |\n| NIRVANA | TCD | TD17 |\n| Programme Alimentaire Mondiale | TCD | TD17 |\n| Secours Catholique et D\u00e9veloppement | TCD | TD17 |\n| UN Refugee Agency | TCD | TD17 |"}, "metadata": {"params": {"country": "Chad", "sector": "Food Security"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}}', 'text', '{"params": {"country": "Chad", "sector": "Food Security"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:22:46.235921'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('cdec3c66-84e7-40b7-9931-b83b7c99a5b8', 'ccfb1a66-febc-4c39-a2fd-4ee15de3808c', '{"function": "get_population_with_metadata", "params": {"country_code": "MLI"}}', '{"result": {"type": "number", "file": "", "value": "17907114"}, "metadata": {"params": {"country_code": "MLI"}, "attribution": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c", "data_url": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/6f243ba2-4d4a-4663-a7c4-e917dbbde73a/download/mli_pop_adm0_v2.csv", "time_period": {"start": "2018-01-01", "end": "2018-12-31T23:59:59"}}}', 'text', '{"params": {"country_code": "MLI"}, "attribution": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c", "data_url": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/6f243ba2-4d4a-4663-a7c4-e917dbbde73a/download/mli_pop_adm0_v2.csv", "time_period": {"start": "2018-01-01", "end": "2018-12-31T23:59:59"}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:22:50.108145'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('70d84687-302e-47ac-9019-28921bc20380', '5b2f7722-9f2e-4926-9fa9-30ea9d6f835c', '{"function": "plot_population_pyramid", "params": {"adm0_code": "TCD"}}', '"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"', 'image', '{"params": {"adm0_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/5e60290d-0a82-48e2-9454-812b01c7d9d4", "data_url": "https://data.humdata.org/dataset/5e60290d-0a82-48e2-9454-812b01c7d9d4/resource/56452d47-7f29-474d-a13c-0bbec70034db/download/tcd_admpop_adm2_2021.csv", "time_period": {"start": "2021-01-01", "end": "2024-12-31T23:59:59"}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:22:52.752335'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('ac45bc1c-6d0c-47f9-a803-0616b9cb9494', '4b24a3d9-62bb-4601-8f08-cc387ec19f28', '{"function": "generate_price_vs_fatalities_report", "params": {"country_code": "TCD", "start_date": "2008-01-01"}}', '"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"', 'image', '{"params": {"country_code": "TCD", "start_date": "2008-01-01"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx", "time_period": {"start": "2008-01-01", "end": ""}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:22:56.503489'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('6d99b884-06d8-452e-9ba1-ed5e6417b381', 'b3220a94-2d7d-45fc-a330-a0cf0cd1474d', '{"function": "generate_population_map", "params": {"adm0_code": "HTI", "admin_level": "admin1"}}', '"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"', 'image', '{"params": {"adm0_code": "HTI", "admin_level": "admin1"}, "attribution": "https://data.humdata.org/dataset/95ba5281-fd76-4d3a-ae29-247e1ff26447/resource/9221c325-b8ea-46fc-bcac-d3e183078581", "data_url": "https://data.humdata.org/dataset/95ba5281-fd76-4d3a-ae29-247e1ff26447/resource/9221c325-b8ea-46fc-bcac-d3e183078581/download/hti_admpop_adm2_2022.csv", "time_period": {"start": "2022-01-01", "end": "2022-12-31T23:59:59"}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:22:59.120720'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('eac01945-a9f0-47d2-b0a9-826955b3cb2a', '6bd47487-f891-479d-b666-07227f4df9bc', '{"function": "generate_commodity_price_plot", "params": {"country_code": "TCD", "start_date": "2008-01-01"}}', '"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"', 'image', '{"params": {"country": "TCD"}, "parameters": {"country_code": "TCD"}, "attribution": "None", "data_url": "None", "time_period": {"start": "2008-01-01"}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:23:02.316092'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('038c84df-9cc4-432c-a9b9-0e0b784c5af0', '2fd218b0-14b9-4d0b-8ab9-8c77c90c8d25', '{"function": "analyze_food_security", "params": {"country_code": "TCD", "ipc_phase": "3+"}}', '{"result": {"type": "text", "file": "", "value": "Top 3 regions in TCD by population in phase 3+:\n\n| adm1_code | adm1_name | population_in_phase |\n|:------------|:-------------|----------------------:|\n| TD14 | Ouaddai | 292780 |\n| TD07 | Lac | 230487 |\n| TD05 | Hadjer-Lamis | 209637 |\n\nOrganizations providing food security in these regions:\n\n| adm1_name | org_name |\n|:-------------|:----------------------------------------------------------------------------|\n| Hadjer-Lamis | Action against Hunger |\n| Hadjer-Lamis | Cooperazione Internazionale |\n| Hadjer-Lamis | German Development Cooperation |\n| Hadjer-Lamis | World Vision International |\n| Lac | Action against Hunger |\n| Lac | Agence de Developpement et de la Formation Proffessionnelle |\n| Lac | Association pour le d\u00e9veloppement des initiatives locales |\n| Lac | Bureau Consult International |\n| Lac | CARE International |\n| Lac | Catholic Relief Services |\n| Lac | Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement |\n| Lac | Croix Rouge Tchadienne |\n| Lac | Diakonie |\n| Lac | Food and Agriculture Organization |\n| Lac | Handicap International - Humanity & Inclusion |\n| Lac | Help Tchad |\n| Lac | Initiative Humanitaire pour le Developpement Local |\n| Lac | International Committee of the Red Cross |\n| Lac | International Rescue Committee |\n| Lac | INTERSOS - Humanitarian Aid Organization |\n| Lac | OHDEL |\n| Lac | Organisation Tchadienne pour le D\u00e9veloppement |\n| Lac | OXFAM |\n| Lac | Programme Alimentaire Mondiale |\n| Lac | SAHKAL pour la Solidarit\u00e9 et d\u00e9veloppement au sahel |\n| Lac | Secours Catholique et D\u00e9veloppement |\n| Lac | SOS Sahel |\n| Lac | SOSSIF |\n| Lac | United Nations Development Programme |\n| Lac | World Vision International |\n| Ouaddai | Action Citoyenne pour l''Information et l''Education au D\u00e9veloppement Durable |\n| Ouaddai | Action contre le changement climatique pour le d\u00e9veloppement |\n| Ouaddai | Action Humanitaire pour le D\u00e9veloppement |\n| Ouaddai | ADD |\n| Ouaddai | Adventist Development and Relief Agency |\n| Ouaddai | A Nassour |\n| Ouaddai | APRODIF |\n| Ouaddai | Association des Femmes pour le D\u00e9veloppement Int\u00e9gr\u00e9 |\n| Ouaddai | Association des T\u00e9moins des Urgences et des Actions de D\u00e9veloppement |\n| Ouaddai | Association pour la promotion du monde rural |\n| Ouaddai | Association Tchadienne pour la Promotion du D\u00e9v\u00e9loppement Int\u00e9gr\u00e9 |\n| Ouaddai | Association Tchadienne pour le D\u00e9veloppement Rural, Social et Economique |\n| Ouaddai | ATTADAMOUN |\n| Ouaddai | Bureau Consult International |\n| Ouaddai | CARE International |\n| Ouaddai | Cercle Humanitaire d''Appui aux Initiatives de Developpe\u00f9ment |\n| Ouaddai | Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement |\n| Ouaddai | Concern Worldwide |\n| Ouaddai | Cooperazione Internazionale |\n| Ouaddai | Croix Rouge Tchadienne |\n| Ouaddai | Echo M\u00e9dical |\n| Ouaddai | Food and Agriculture Organization |\n| Ouaddai | Future Porte du Tchad |\n| Ouaddai | German Development Cooperation |\n| Ouaddai | Hebrew Immigrant Aid Society |\n| Ouaddai | International Cooperation and Developpment World |\n| Ouaddai | KITES |\n| Ouaddai | Lutheran World Federation |\n| Ouaddai | NIRVANA |\n| Ouaddai | Norwegian Refugee Council |\n| Ouaddai | Nour Akoura |\n| Ouaddai | Organisation Humanitaire et de D\u00e9v\u00e9loppement Local |\n| Ouaddai | OXFAM |\n| Ouaddai | Premi\u00e8re Urgence Internationale |\n| Ouaddai | Programme Alimentaire Mondiale |\n| Ouaddai | Secours Catholique et D\u00e9veloppement |\n| Ouaddai | TCHAD SOS |\n| Ouaddai | United Nations Children''s Fund |\n| Ouaddai | United Nations Development Programme |\n| Ouaddai | World Relief Chad |\n| Ouaddai | World Vision International |"}, "metadata": {"params": {"country_code": "TCD", "ipc_phase": "3+"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}}', 'text', '{"params": {"country_code": "TCD", "ipc_phase": "3+"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:23:06.352445'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('e9d3e3ee-977f-4291-a51a-7e4e3e4cd5f3', 'f2efff1f-6eac-4812-80b5-d9b3cbf112f1', '{"function": "create_bar_chart_of_humanitarian_organizations_in_a_given_region_disaggregated_by_sector", "params": {"region": "Wadi Fira"}}', '"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"', 'image', '{"params": {"region": "Wadi Fira"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:23:10.769489'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('0d41e4e3-6955-4a3e-ae27-7e6836dc28e9', '5871264f-26ed-4f00-8d36-684261aad476', '{"function": "summarize_tables_with_data", "params": {"region": "Wadi Fira"}}', '{"result": {"type": "text", "file": "", "value": "Tables with data for subnational region (adm1_code: TD17):\n\n- hapi_coordination_context_conflict_event\n- hapi_coordination_context_operational_presence\n- hapi_food_food_price\n- hapi_food_food_security\n- hapi_metadata_admin2\n- hapi_metadata_wfp_market\n- hapi_population_social_population\n- hdx_shape_files\n"}, "metadata": {"params": {"region": "Wadi Fira"}, "attribution": "", "data_url": "", "time_period": {}}}', 'text', '{"params": {"region": "Wadi Fira"}, "attribution": "", "data_url": "", "time_period": {}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:23:13.847567'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('dd4627b6-3d99-4add-87d6-84949b70a442', '4747561e-9fea-4b07-9fcb-ebc56addffe3', '{"function": "get_all_recipes", "params": {}}', '"{\"result\": {\"type\": \"text\", \"file\": \"\", \"value\": \"| type | intent |\\n|--------|----------|\"}, \"metadata\": {\"params\": {}, \"attribution\": \"\", \"data_url\": \"\", \"time_period\": {\"start\": \"\", \"end\": \"\"}}}"', 'text', '{"params": {}, "attribution": "", "data_url": "", "time_period": {"start": "", "end": ""}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:23:18.217636'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('452c800a-99af-47fc-8cd2-54389bdd2cb7', '9ee0b7e2-a2e3-4b9a-8c16-c62a9c71f612', '{"function": "generate_ipc_population_map", "params": {"country": "Chad", "ipc_level": "3"}}', '"iVBORw0KGgoAAAANSUhEUgAAA+gAAAXcCAYAAACxmKRlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3wU1f7G8efMbgohjd5Eml4bKBZAQQXLpYgIIlZUbAhKUbBiAax47b3gD0Hk2tCLYkNBiiIqTUQEFBAQQTokBEid+f3Bzd4ENsmmbGZ283nf117DzuzsN5vd2XnmnDnHOI7jCAAAAAAAuMpyuwAAAAAAAEBABwAAAADAEwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoAAAAAAB4AAEdAAAAAAAPIKADAAAAAOABBHQAAAAAADyAgA4AAAAAgAcQ0AEAAAAA8AACOgAAAAAAHkBABwAAAADAAwjoQAQaPXq0jDEyxrhdiiSpadOmMsbommuucbuUcuvUqZOMMerUqZPbpSCIa665RsYYNW3a1O1SUED+/mj06NFul+I5XtpfV9X9W15enp577jm1bdtWycnJgb9Hr1693C6t0kTi3579CqoqAjoiwuzZswM76oNvCQkJatKkiXr16qW3335bubm5bpcLlNuECRMC7/EJEyYcsnzdunVFfibi4+PVqFEjdevWTa+99pr27dsX0nPu3btX48aN0yWXXKIjjzxSqampio2NVd26dXXaaadp+PDh+uGHH8r8O4WjZhRt69atevPNNzV48GC1b99ezZo1U1JSkuLi4tSgQQN16dJFr7zyivbu3et2qa5yHEfNmzcPvBdvvPFGt0uqEjZs2KAPP/xQd999t84++2ylpKSELZBdfvnluvXWW7VgwQLt2bOnQrddmRYuXKgRI0bo1FNPVaNGjRQXF6fk5GS1aNFCffr00Wuvvabdu3e7XSaAcvK7XQBQXvv379eff/6pP//8Ux9//LGeffZZTZ06VfXr13e7tIjWqVMnzZkzRx07dtTs2bPdLgelkJWVpU2bNmnTpk2aNm2annrqKX388cc65phjinzMa6+9ppEjR2rr1q2HLNu2bZu2bdumH374Qc8884zatGmjZ599Vu3bt3e1ZhRv6tSp6t+/f9Blmzdv1ubNm/XVV1/pX//6lz788EOdfPLJlVyhN3z77bdau3Zt4N+TJ0/W888/r/j4eBerim7r16+vtF4w8+bN0+TJkyVJ3bt316233qp69erJGKPk5ORKqaG81q9fr8GDB+vTTz89ZFl2drb27NmjP/74Qx9++KGGDRumYcOG6b777lO1atVcqBZAeRHQEXFuuukm3XzzzYF/Z2RkaOHChXrqqae0bt06LViwQD179tQPP/zgiS6FVcG6devcLqHCROLJiJ49e+rhhx8O/Hv//v365Zdf9Oyzz+qXX37RqlWr1K1bNy1fvlwJCQmFHmvbtm666SaNHTtWkmRZlnr27KnzzjtPRxxxhJKTk7Vt2zb98ssv+vjjjzV37lwtWLBAjz/+uD766CNXakZojDE68sgj1alTJ5144olq1KiRGjRooMzMTK1fv16TJk3Sl19+qfXr1+uf//ynli1bpoYNG7pddqWbOHGiJCkxMVEZGRnavXu3pk6dqksuucTlyiqeV/ZvjuMEfjbGqEWLFmrYsKG++eabCn+uGTNmSJJ8Pp/efvvtiAnl+RYuXKjzzz9fW7ZskXTgkrLLL79c7du3V7169ZSdna2//vpLM2bM0JQpU7Rjxw49+uijuvjii9W6dWt3iwdQJgR0RJy6deuqZcuWhe479dRT1bdvX7Vt21arV6/W/Pnz9emnn6pHjx4uVQlUntTU1EM+E23atFHfvn119tlna968eVq/fr3GjRunIUOGFFrvgQceCITzI488Uh988IGOP/74Q56jS5cuuv322/Xdd99p6NChrtaM0PTr10/XX3990GVnnHGGrrzySj377LMaNmyYdu3apSeffFJPP/10JVfprszMTH3wwQeSpAEDBuiLL77Q8uXLNXHixKgM6F6RlJSkhx9+WG3bttUpp5yiGjVqaPbs2TrrrLMq/Lk2btwoSapXr17EhfPNmzcXCuf33Xef7r//fsXGxh6y7qWXXqqnn35aTz31lB599NHKLhVABeIadESNGjVqaMSIEYF/T5s2zcVqAPfFxcXpoYceCvz74M/EokWLAq3YDRs21Ny5c4OG84I6dOigefPm6Yorrqj4glVyzQid31/yOfjBgwcrMTFR0oGu3lXNRx99pLS0NElS3759deWVV0qSvvzyy6CXe6Bi1KpVS/fee6/++c9/qkaNGmF9rqysLElSTExMWJ8nHAYMGBAI5w899JAeeuihoOE8X1JSkkaPHq2vv/5aKSkplVUmgApGQEdUadu2beDn9evXH7J827Ztuu+++3TiiScqNTVV8fHxatq0qa666irNnTu32G0fPFL5ggULdPnll6tx48aKj49X48aNde2112rlypVFbqPgwF/FdQsvOJhWsAHCSpKdna1PPvlEgwcPVps2bVSjRg3FxMSoVq1aateunUaPHq3t27cHfWz+KNlz5syRJM2ZM+eQAb0OvnYw1FHcP/nkE/Xp00eHHXaY4uLiVKtWLZ122ml67LHHlJGRUeTjDn7dbNvW2LFj1b59e9WoUUPVq1fX8ccfr0ceeaTcg4sVN9JtsL/L9OnT1aNHD9WvX19xcXFq1qyZbrrpJv3111/lqqOiFPeZGDNmjGzbliS98MILqlu3bkjbjIuLC2vrYkmf44J2796tkSNH6rjjjlP16tWVmpqqM888U//+97+LfdzevXv13nvv6YYbblDr1q2VkpKimJgY1alTRx07dtSTTz5Z7Hsy35QpU9SrV6/AezopKUnNmzfXGWecofvvv1/z588v9vGzZs1Sv3791Lx5cyUkJCg5OVmtWrXSHXfcoU2bNpX4/OXl9/sD11pnZmZW2HZnzJihCy64QA0aNFB8fLyaN2+uwYMHB1ozD3bSSSfJGBPSmAM7duxQXFycjDGFLncqi/zu7ccee6xOPPFE9e3bV8YY5ebm6u233w5pG3/99ZcGDRqk5s2bKz4+Xg0bNtQFF1wQ6FpdkoMHRps1a5Z69eqlhg0bqlq1ajrmmGP00EMPHTKY3+eff67zzjsvsN6xxx6rMWPGKDs7u8jnirb9W3Hyf5c333xT0oF9ycHfZQezbVuTJk3Seeedp/r16ys2NlZ16tTRWWedpZdffrnY1/bg0frT0tL00EMPBY43Svt9vmzZMk2dOlWS1Lp160INECU544wz1KxZs2LX2bhxo4YPH64jjjhC1apVU61atdSlSxd98cUXxT5u165dGj9+vK688kode+yxSkxMVGxsrOrXr68uXbpo7Nixxb5OBb399tvq1KmTatSoocTERLVs2VKjRo1ioDvAASLArFmzHEmOJGfUqFFFrrdy5crAel27di207Msvv3SSk5MDy4PdBg0a5OTl5QXddpMmTRxJTr9+/Zxx48Y5fr8/6Dbi4uKc999/P+g2xo8fH1hv7dq1Rf4ea9euDaw3fvz4Q5aPGjUqsDyYfv36Fft7SnJq1arlzJ07t0yPbdKkSZGvTTD79+93LrzwwmK32bBhQ+enn34q8XX79ddfnXPOOafI7bRt29bJyMgo8rUtSceOHR1JTseOHQ9ZdvDf5e677y6yjjp16jjLly8vcx0Ff+dg74GCtRT1ujuO42RmZgbWO/roowP379q1y/H5fI4kp2nTpkW+7ytSeWt2nP+9P5s0aeKsXLnSadq0abGf56Lk/52LuzVr1sxZsWJF0Mfn5uY6F198cYnbOPnkk4M+fv/+/c5ll11W7GOrV6/uTJ06teQXthxmzJgReL4+ffqUeTsF98+jR48u8ndKSUlxvvnmm0Me/9JLLwXW+f7774t9rueeey6w7oIFC8pc8+bNmwOfgUcffTRwf/5748QTTyxxG998802x3yujR48ucX9d8LUbM2aMY4wJuq327ds7GRkZjm3bztChQ4t8zq5duzq5ublBn8sr+7dgQv2eD1VJn82D/x47duxwOnToUOz6xxxzjLNu3bqgz1fw7/z7778H3TcF25cXZfjw4YHHjRs3rjwvheM4hf/2c+fOdWrXrl3k7/nEE08UuZ387/vibieeeKLz999/F7mNnJycYvefzZs3d/74448KfT8AkYQWdESVX375JfBzwcGOlixZoh49eig9PV0xMTEaNmyYZs2apfnz5+u1114LnGl+6aWXSjxLvWTJEg0cOFB169bVCy+8oB9//FFz5szRXXfdpbi4OGVlZalv375auHBheH7JEOTm5qp58+a67bbb9N577+n777/XggUL9MEHH2jgwIGKjY3Vjh07dOGFFx7SjfORRx7RL7/8olNOOUWSdMopp+iXX34pdPvqq69KVU+/fv00ZcoUSdIJJ5ygiRMnasGCBfryyy917bXXyhijTZs26ZxzzimyhS1f//79A62On332mRYtWqQpU6botNNOkyTNnz+/0OBj4fL666/rscceU8eOHfX2229r4cKFmjFjhq6++mpJB3prXHfddWGvoyRFfSbmzp2rvLw8SVLXrl1lWd75Oiiq5oL27dunHj16aMeOHbrvvvs0e/ZsLVy4UK+//roOO+wwSQc+z19++WXQx+fm5qpVq1a69957NWXKFP3444/64Ycf9N577+myyy6TZVlau3atevXqFbRl+ZVXXgmMDH366adrwoQJ+vbbb7V48WJNnz5dTz31lP75z3/K5/Md8ljHcdSnTx+9++67kqQePXrorbfe0nfffafvv/9ezz33nA4//HDt3btXffr0qfB9yZ49e7R8+XKNHj1aF154YeD+W265pdzb/uyzzzR69GgdddRRGjdunBYsWKAZM2ZowIABsixLaWlpOv/887Vhw4ZCj+vbt29gxOnx48cX+xz5y48//vjAfqos/v3vfysvL0/GGPXt2zdwf343959++km//vprkY//888/df755ys9PV2WZWngwIGaMWOGFixYoHHjxunII4/U6NGj9dlnn4VUzxdffBGYQit/nzJt2jR169ZN0oHRyMeMGaNnnnlGzz//vLp166YPP/xQixYt0scff6xTTz1V0oHLQl5//fWyviySImf/Vpz876uePXtKOrAvOfi7LF9eXp7OP/98fffdd5Kkjh07avLkyVq4cKGmTp0amC99xYoVOuecc0rsXdOnTx9t3LhRQ4YM0fTp07Vw4UK98847Ouqoo0KuP78Xm3Rg9PmK8vfff6tXr16yLEuPPfaY5s6dq/nz5+vpp59WamqqJGnEiBFFvvfz8vLUrl07PfTQQ/r000+1YMECfffdd5o0aZK6du0q6cBn57LLLiuyhttvvz2w/wy2r1i3bp0uvfTSCvudgYjj9hkCIBShnFnPyclxTj311MB6EydODCxr06aNI8nx+XzOl19+echjd+7c6Rx77LGOJMeyLGfZsmWHrFPwrHGTJk2Cnh2eOXNmoGW9TZs2hyyvrBb01atXO7ZtF7n9pUuXOomJiY4k57777gu6TnEtLQcrrgX9008/DdR6zjnnOFlZWYesM3bs2MA6l1xyySHLC75ukpy33nrrkHUyMzOdli1bOtKB3gE5OTkl1h1MqC1Mkpz+/fsHfZ1vuOGGwDqLFy8uUx0V1YLep0+fwHoPPvhg4P6HH344cP/rr79ephpLq7w1O07hHh4pKSlBP6urVq1y4uPjHUnOBRdcEPQ5fv/992JrnT59umNZliPJ+b//+79Dlp9xxhmOJKddu3bFvtd27NhxyH357/eYmBjniy++CPq4nTt3Oscdd5wjyenQoUOxtYai4D7j4JvP53NefPHFcm2/4PZOOukkZ8+ePYesM3HixMA6F1988SHLr7rqqsDfdd++fUGfZ/HixYFtPPPMM+Wq+YQTTnAkOWeeeWah+3fv3u3ExcU5kpw77rijyMcXfJ++/fbbhyxPT08PPEdx++uCyy+66KJDWr9zc3MD321JSUlOfHy8c+uttx6ynb179wb2xccff3zQ5/LK/i2Yim5Bz1ew101RXnzxxcBzX3311UF/73vuuSewzp133nnI8oKfMcuygh5rlEZMTIwjyWnUqFG5tpOvYK+hJk2aOH/99dch63z77beBHhxDhw4Nup2S9p1vvPFG4HlmzJhxyPKlS5cG9q1F7SvefPPNQu9FWtBR1RDQERGK++LOyMhwZs+e7XTq1KnQl09mZqbjOI7z448/Bu4fOHBgkc8xd+7cwHo333zzIcsLBvQPPvigyO3cdNNNgfUO7n5ZWQE9FLfeeqsjyWnZsmXQ5RUV0Lt16xYII3/++WeR2zj33HMdSY7f73c2bdpUaFnB1613795FbuPVV18NrPfzzz+XWHcwoR7ANmjQIPAeO1jBSy2ee+65MtVRnoC+f/9+Z/78+c5FF10UWCc5OdnZsmVLYJ1hw4YFln388cdlqrG0yluz4xQO6M8//3yRz5XffbxmzZplrrdXr16OJOf8888/ZNmRRx7pSHKGDRtWqm3atu20aNHCkeTcdtttxa77+eefB37Xkg6KS1JUQD/nnHOK7MZfGgW3uXDhwiLXy98f+P3+Q05yzpkzJ7CNSZMmBX38kCFDHElObGyss23btjLXu3Tp0sBzjR079pDl+eG7YcOGQS//+PvvvwPd44O9P/IV/P4pKaAnJCQEPaHjOIVDT+PGjZ3s7Oyg640cOTKw3u7duw9Z7pX9WzBuBvRjjjnGkQ503U9PTw+6Tk5OjnP00Uc7kpwaNWoc8voU/Ixdd9115ao5LS0tsK1QLrUIRcGAXtylM/kng8rzvK1bt3YkOYMHDz5k2c0331yqfQUBHVWRd/o0AiF64IEHCg3ykpiYqE6dOgXmd61bt64++ugjxcXFSVKhgXqKmnJIOjA6df4ARcUN7lOjRo1Al7lgCnb7C3WQoHDbtWuX1qxZo19//VXLli3TsmXLAl3Zli9frpycnLA8b25ubqCbXufOndW4ceMi1+3fv3/gMcXN1VuwK+rBTj755MDPf/zxRymrLZ0+ffoE3mMHO+qoowIjY4e7Dkl68803C30mqlWrprZt2+rDDz+UdGB+58mTJxcaBG7Pnj2Bn6tXrx72Giui5oKMMcWOJJ//Xti5c2dIAw5t27ZNq1atCnw+li1bpjp16kiSfv7550PWb9CggaQDAx8WNeBiMMuXL9eaNWskHXgPFefMM88M/Pz999+H/BzB3HzzzYFuvT/88IPGjx+vs846S19//bUuvfRS/fjjj+Xafr5WrVoV+hweLH//GOxzfuaZZ+of//iHpODd3LOzswMDt/Xo0UO1a9cuc535A4fFxcXp4osvPmR5fjf3TZs26euvvz5k+axZswKXiFx77bVFPk/btm113HHHhVTTP//5T9WsWTPoshNOOCHwc+/evYsckbzgemvXrg3peYPx0v4t3DZt2qQVK1ZIki655BIlJSUFXc/v9wf+1rt27dLixYuL3GZx31OhCOf+OTU1tdgu8/mf31D+to7jaPPmzfr9998L7TsbNWokKfi+M/+4KNR9BVAVEdARNZo1a6Y77rhDv/zyi1q3bh24f9myZZKk2NjYQvcH065dO0nSqlWrihyF9MQTTyx2+qLWrVsHpkEpeI1bZfvll1903XXXqUGDBqpZs6aOOOIItWzZUq1atVKrVq0CIwbbtq1du3aFpYY//vgjMKp6/mtblILL8/9mwRx99NFFLit4cFvwACcciqtDUmDqoHDXUZyGDRvqpptu0tKlS9W5c+dCywoehB48OrSbiqu5oNq1a6tWrVpFLg/lvfDdd9/p0ksvVa1atVS3bl394x//CHw+WrVqFbiON1gA79evnyRp9erVOuKII3TdddfpnXfeKXF064LXk5922mmHjCp98MnHfJs3by52uyWpW7euWrZsqZYtW6pdu3a65pprNHPmTD388MNaunSpOnXqVOqxJYJp06ZNscsLjtAfbP+YfxJ15syZh4zgP3XqVO3YsUNS+Q7e8/LyAqP8d+/ePXCysqDzzjsv8B7KH+m9oIK1l+Z3Lk7+yYlgCtYY6nrl2fdEwv6tohT8vqmo76mSpqssSTj3z0ceeWSxY47kv++L+9t+9tlnOv/885WSkqIGDRroqKOOKrTvzB934eB9Z1ZWllatWiWp4j43QDQqeZJUwGNuuummwNQ6xhjFx8erdu3aRc75uXPnTkkHvnRKmhe4fv36kg6cFd61a5fq1at3yDolTUXl9/tVs2ZNbd68OfDclW3cuHEaOHCgcnNzQ1p///79Yamj4O9f0uuW/9of/LiDJSQkFLms4EFHfutWuBRXR8Fawl2HJPXs2bPQwHhxcXGqWbNmsQG24LL8eXYrU1lqLijU118K/jcYPXq0HnjggZCeK9jn47rrrtOaNWv0+OOPKy0tTePHjw+0+rZo0UI9e/YMTL1VUFnn1i7v9IFFuffeezV16lTNnz9f/fv315o1a0KaP70oJX3OC+5Tg33O+/Xrp/vuu085OTl68803NXLkyMCyN954Q5LUqFEjdenSpcw1fvXVV4ETHvkt5QeLiYnRpZdeqldeeUVTpkxRRkZGoRMmpdm3BfseCSbUfVtl7AO9tH8Lt3B8T5V3bvfk5GTFxMQoJyenwvfPof5t86fgLMhxHPXv31/jxo0L6bkO3nfu2rVLjuNIqrjPDRCNaEFHxCnYEnTcccepRYsWRYbzgoLNeVoWFbWdcFm5cmUgnNetW1dPPPGEFi1apB07dig7O1vOgbEnCn3B5n9hhpPXX7dIlpqaGvhMtGzZUkceeWSJQbdgV9jiumqGS1lqrihff/11IJw3b95cL7/8spYuXardu3crJycn8Bm5//77i93OI488otWrV+uRRx7R2WefHTjwXbNmjZ5++mkdffTRevXVVws9pmCg+eSTTw4ZVbqoW3nn+y5O/iU7f/75Z4nztpekvJ/zevXq6fzzz5ckTZgwIbBv2rRpU6CF/+qrrw46On6oCraI9+7du8geDK+88oqkAy2Y+ZdeBMO+LXpU1N+yPO/PfPmt8Js2bXLlJGowb7zxRuDYoXXr1powYYJWrFih9PR05ebmBvadV111laTijy343ABFowUdUS+/u9aOHTuUm5tbbOtQfquKMabIM+AlfVHm5uYWarUvqGDrRrCz0/nK06VtwoQJys3Nlc/n05w5c4rsqlgZrfsFf/+SXreCXXiLug4TFef000+Xz+dTXl6evvjiC9m27amp1sIpv+t6jRo19MMPPwSuNT9YKJ+RJk2a6J577tE999yjnJwcLViwQO+//75ee+01ZWZm6uabb1a7du104oknSirccyH/JIXbCv7+69evV/v27cu8rZI+5wWXF/U5v+GGGzRlyhStXbtWc+bMUadOnTRx4sSQrvkuSXp6uj7++ONSP27ixImByxqkwi2kW7ZsKXZ8Da+EKwTn1e+pjh07atGiRZIOdCn3wjXZ+fvOI444QvPmzQtMjXiwovadBS/BKM2+AqhqqsbRGKq0/APg7OxsLVmypNh181uPjjzyyMB15AdbsmRJsV3Hf/7558D16wcffBe8rqy4675///33YussTv7cpSeccEKx1xGWNLdyRZzdbt68eaBVsaRBqAq23HkhtES71NTUwNy+69ev10cffeRqPZUp/zNy1llnFRnOpZI/IweLiYlR+/bt9eyzzwYGM3McRx988EFgnfygLikw57LbNm7cGPi5YDfusliwYEHIy4v6nHft2jUwl33+ZQP5/z3jjDN05JFHlrm+yZMnB7rdPvjgg3rnnXeKveUP9jV79uxCc7e3atUq6O8UTEnL4a6C70MvfU9dc801gZ9feOGFYk/qV5b8fecFF1xQZDh3HKfIXlnx8fGBzy+fG6BoBHREvXPPPTfwc/41jMF8//33Wr58+SGPOdjOnTv1ySefFLm84HMcvJ1mzZoFfi7u4P+dd94pcllJ8k8eFNcK//fff2vq1KnFbic+Pl7SgUFdysrv96tjx46SpOnTpxc7gNb//d//BR7TqVOnMj8nQjdixIhAq/mQIUNCvj46KytL77//fjhLC6tQPiM//fRTuUY2P+eccwI/Fxwo6aSTTgqEz7FjxyozM7PMz1ERbNsu1H27YPAsi19++UU//fRTkcvz948+n6/Iz7llWYFW8g8++EDTpk0LnLQsbytifvf2GjVq6O6779Zll11W7O3222+XdOB1mjRpUmA7Z511VqAbc/6I8MEsWLCg2MHE4L6GDRsGZnB5//33lZGREXS9vLw8TZgwQdKB989JJ50U1rpatWqlCy64QNKBhoFHH3005MfOnTu3XKP4FyWUfefHH3+sv//+u8jl+cdFoe4rgKqIgI6o17ZtW51yyimSDnTPCjZlTlpamgYMGCDpwMHhTTfdVOw2hw8fHrT71Zw5czR27FhJB6YqOXiU0pYtWwa6xb344otBw+/777+vyZMnh/CbBZd/dnrVqlWaN2/eIcv37dunK664osSB4fKnkfrjjz/KdY36oEGDJB3owXD99dcHndLtjTfeCFxf2rt378BzI7xOPvlk3XfffZIOXOd4+umnlzjzwPfff68OHToEWogjUf5nZO7cuVq9evUhy7dt2xa4hrIokyZNKrYnTcER0QuemLMsS/fcc4+kA5+tq6++utiTYOnp6XrxxReLraUor7/+erGDeNm2rdtuuy0QIM844ww1bdq0TM9V0I033hj0AP7tt9/W559/Lknq1atXsZ/z6667TsYY7du3LxDWk5KSgk6JFqp169bp22+/lXTguvuipiorqHXr1mrRooUk6a233grc36BBg8C1+1OnTg16wiojIyPwvQJvy/+e2rZtm4YOHRp0nQceeCBwEr9///5FTkNXkV577bXAYGn333+/Ro4cWeQMM9KB4PzAAw/o7LPPVlpaWoXXk7/v/OSTT4J2Y1+zZk3gtSzKgAEDAj30itpX/Pvf/w7sK4CqiGvQUSW8/vrrateunbKzs3XeeedpyJAh6tGjh6pXr66ffvpJjz32WGDOz9tvv73YrmsnnHCCli9frpNPPlkjRoxQ27ZtlZWVpc8//1zPPPNM4Dr3l1566ZDH+v1+DRgwQGPGjNGyZct09tln684779Thhx+uLVu2aPLkyZowYYLat28fNFyH4qqrrgp0h+vevbvuuOMOnX766YqPj9eiRYv0zDPPaNWqVerQoUOxXWzbt2+v8ePHa+vWrRo+fLiuvPLKwGB8MTExatKkSUj1dO/eXRdffLEmT56sr776SqeeeqqGDx+uo48+Wrt27dK7774bOFNes2ZNPf3002X6vVE2o0aN0ubNmzV27FitWrVKrVu3Vq9evdS9e3cdccQRSkpK0rZt27Rs2TJNnTo1MK99fitwJLr66qv1ySefaO/everYsaPuvvvuwHy88+bN09NPP63NmzfrtNNOK3L+8auuukq33367evfurfbt26tFixaKj4/Xli1bNH369MAAY4mJiYfMiTxw4EBNnz5dU6ZM0eTJk7V48WINGDBAbdu2VUpKitLT07Vy5UrNnj1bU6dOVXx8vAYPHlzq3/PGG2/UAw88oD59+ujUU09VkyZNlJCQoF27dumnn37ShAkTtHTpUkkHRo0Ots8qrVNOOUULFy7UKaecorvuukutWrVSWlqaPvjgA7322muSDgTtJ598stjtNG3aVOeee66mT58euO73kksuKdec0G+99VbgZONFF10U8uMuuugiPf7441qxYoUWLFgQOPH61FNPafr06dqzZ4+uuOIKzZkzR3369FFycrKWLl2qxx57TL///nvgNUFh06ZNK3RN98qVKwM/L1myJNBaLR34HPXp0ydstQwcOFD//ve/9f3332v8+PFav369br75ZjVr1kx///233njjDf3nP/+RdGCWhpIGkKwo9evX16effqrzzz9fW7Zs0UMPPaS33npLV1xxhTp06KC6desqOztbGzdu1MyZM/Xhhx9q27ZtYavn6quv1h133KFNmzbptNNO01133aWWLVsqMzNTM2fO1LPPPqusrCyddNJJRXZzP+GEEzRo0CC9+OKLQfcVkydP1tixY/ncoGpzgAgwa9YsR5IjyRk1alSZtvHll186ycnJge0Euw0aNMjJy8sL+vgmTZo4kpx+/fo5r7/+uuP3+4NuIzY21nnnnXeKrGPv3r3OqaeeWmQNnTp1cpYtWxb49/jx4w/ZxqhRowLLg3nggQeK/T1vu+02Z/z48YF/r1279pBt7Nmzx2nevHnQxzdp0qTI1yaY/fv3OxdeeGGxNTVs2ND56aefgj6+pFrzrV27ttjXLRQdO3Z0JDkdO3Ys1/ZLek1KUvB3DvZcBWsp63MU9Morrzh16tQp9m+Uf2vfvr0zf/78Uj9HRdTcr1+/oO/Bg5X0nrn22muL/P18Pp/z7LPPFvs5C+V1SklJcb744oug9WVnZzs33XSTY4wpcTvNmjUry0sVUo2SnGOOOcZZtGhRmZ7j4OcaNWpUodft4FtycrIze/bskLb53nvvFXrsd999V64ajzzyyEANWVlZIT9u/vz5gRoGDx5caNmsWbOcpKSkIn/fkSNHlri/LvjaFSXUfU/B78pZs2Ydstwr+7eCtYRyK+nzXpxQ9xk7duxwOnToUOJnZd26dUEfX9LfuTzWrVvndO/ePaTXqnr16s7o0aOdzMzMQtso7m8f6u+RnZ3tdO7cucjnrlatmvP++++X+JpnZ2c7vXv3Lnaft2bNmpA+G0A0oos7qozOnTtr9erVuueee9S6dWslJycrLi5Ohx9+uPr27atvv/1WL774YkgjWd9www369ttvdckll6hhw4aKjY1Vo0aNdPXVV+unn37SZZddVuRjExISNHPmTD3yyCNq1aqVqlWrpuTkZLVp00YvvviiZsyYUa5WIkkaOXKkPvvsM3Xu3Fk1atRQbGysDjvsMPXu3VtfffVVia1X0oEWi3nz5umWW27RMcccU+LcqcWJj4/Xf/7zH02dOlW9e/cOvGY1atRQu3btNGbMGP32229q3bp1mZ8D5TNw4ED98ccfev3119WnTx+1aNEiMBdvnTp1Aj0f5s+fr+++++6QyzcizRtvvKG33npLZ5xxhpKSkhQXF6cmTZroqquuCrzvi7Ns2TL961//Uo8ePXTssceqVq1a8vl8Sk1N1amnnqpRo0bpt99+U9euXYM+PiYmRi+//LJ+/vlnDRkyRK1atVJKSop8Pp9SUlLUunVrXX/99frggw+0YsWKMv2OixYt0sMPP6zzzz9fxx13nGrXri2/36/k5GQdffTRuuKKKzR58mT9/PPPFXo97ejRozVt2jR1795d9erVU2xsrJo2baqbb75Zv/76a2BcipL06tUrMGjd0UcfXa7R5b///nutWrVKknT++ecXOQhoMG3atNHhhx8uSXr33XcLXabTqVMn/frrr7rpppvUpEkTxcbGql69eurevbumTZsWmM4P3lezZk198803mjhxorp27ap69eopJiZGtWrVUqdOnfTiiy9qyZIlIfceq0hNmjTRp59+qvnz5+uuu+5S27Zt1aBBA8XGxioxMVHNmzdXnz59NHbsWG3atEmjRo0KSxf8mJgYffbZZ3r++ed1yimnKCEhQdWqVdMRRxyhgQMHavHixSFdhhITE6MPP/wwsA9OSUlRQkKCjjnmGN1zzz1atGiRmjdvXuH1A5HCOE4lTIAMRIGmTZtq/fr16tevX6GudwCAirdq1Sr94x//kCT961//0p133ulyRQAAhB8t6AAAwHPyx6bw+/26+uqrXa4GAIDKQUAHAACesnv37sCMGL169VL9+vVdrggAgMrBKO4AAMB1W7duVXp6ujZt2qTRo0dr586dMsZoxIgRbpcGAEClIaADAADX3XnnnXrzzTcL3XfzzTdX6AB2AAB4HQEdAAB4RmxsrFq0aKH+/ftryJAhbpcDAEClYhR3AAAAAAA8gBb0Ksa2bW3atElJSUkyxrhdDgAAABBVHMfRnj171LBhQ1kWY3KjdAjoVcymTZvUuHFjt8sAAAAAotqGDRt02GGHuV0GIgwBvYpJSkqSdGCHkZyc7HI1AAAAQHRJT09X48aNA8fdQGkQ0KuY/G7tycnJBHQAAAAgTLicFGXBRREAAAAAAHgAAR0AAAAAAA8goAMAAAAA4AEEdAAAAAAAPICADgAAAACABxDQAQAAAADwAAI6AAAAAAAeQEAHAAAAAMADCOgeMmbMGLVp00ZJSUmqW7euevXqpd9++y3ouo7jqFu3bjLG6KOPPqrcQgEAAAAAFY6A7iFz5szRoEGD9MMPP2j69OnKyclR586dtXfv3kPWffbZZ2WMcaFKAAAAAEA4+N0uAP8zbdq0Qv+eMGGC6tatq0WLFunMM88M3L9kyRI99dRTWrhwoRo0aFDZZQIAAAAAwoCA7mFpaWmSpJo1awbu27dvn6644gq99NJLql+/fonbyMrKUlZWVuDf6enpFV8oAAAAAKDc6OLuUbZt69Zbb1WHDh3UsmXLwP3Dhg1T+/bt1bNnz5C2M2bMGKWkpARujRs3DlfJAAAAAIByoAXdowYNGqRly5Zp7ty5gfumTp2qmTNn6qeffgp5OyNGjNDw4cMD/05PTyekAwAAAIAH0YLuQYMHD9ann36qWbNm6bDDDgvcP3PmTK1Zs0apqany+/3y+w+cX7nooovUqVOnoNuKi4tTcnJyoRsAAAAAwHuM4ziO20XgAMdxNGTIEE2ZMkWzZ8/WkUceWWj55s2btX379kL3tWrVSs8995x69OihZs2alfgc6enpSklJUVpaGmEdAAAAqGAcb6M86OLuIYMGDdLbb7+tjz/+WElJSdq8ebMkKSUlRdWqVVP9+vWDDgx3+OGHhxTOAQAAAADeRRd3D3nllVeUlpamTp06qUGDBoHbe++953ZpAAAAAIAwowXdQ8pytQFXKAAAAABAdKAFHQAAAAAADyCgAwAAAADgAQR0AAAAAAA8gIAOAAAAAIAHENABAAAAAPAAAjoAAAAAAB5AQAcAAAAAwAMI6AAAAAAAeAABHQAAAAAADyCgAwAAAADgAQR0AAAAAAA8gIAOAAAAAIAHENABAAAAAPAAAjoAAAAAAB5AQAcAAAAAwAMI6AAAAAAAeAABHQAAAAAADyCgAwAAAADgAQR0AAAAAAA8gIAOAAAAAIAHENABAAAAAPAAAjoAAAAAAB5AQAcAAAAAwAMI6AAAAAAAeAABHQAAAAAADyCgAwAAAADgAQR0AAAAAAA8gIAOAAAAAIAHENABVCmv3DZRD13xnNtlAAAAAIfwu10AAIRbZmamRnR7TMu/XxW4r0t8X7XrfqJGvner/H52hQAAAHCfcRzHcbsIVJ709HSlpKQoLS1NycnJbpcDhNUfS9fr/guf1La/dsgYU+R6J/+zlR6ccjtBHQAAlBvH2ygPjkYBRJ0vxs/WK7e9qcy9WTLGFBvOJWnR9F/UPbGfTjjzGD36+d0EdQAAALiCo1AAUeOpG1/TjEnfKi/PDimYH+znb1aoe2I/HXvakXpi+n0EdQAAAFQqjj4BRLSM3Rm6q+sYrV6yLnBfaYP5wZZ/v0rdq/fTP9o01xMz7lV8fHw5qwQAAABKRkAHEJFW/LhKoy9+Wru2pJU7kAdlpN8X/qGeKdfriBOb6KnZIwnqAAAACCsCOoCI8p/nP9f4+99XVmZ2mbqxl5qRVi9Zr54p16lpy8Z6as4DSkwkqAMAAKDiEdABeF5ubq4e6/ey5v5nvmy7bNeXl5sxWvfrX+pd6zodfnQjPTtnlBJTEyu3BgAAAEQ1AjoAz9q9PU13dn5E65dvDNxX6cH8IMYYbfhtk3rXu1GNjqivZ+aMUmrtFFdrAgAAQHQgoAPwnMWzlunRvi8ofcce1wN5UYwx2rRmiy5pdJMaNKurp2ePVq36qW6XBQAAgAhGQAfgGe889pEmPTpFOVk57nRjLwNjjDav26bLm9ysuofX1jOzRqrOYbXdLgsAAAARiIAOwFW5ubka3edpLfjyZ8k5cF8kBPODGWO0bcMO9W0xVLUb1tTTs0apftM6bpcFAACACEJAB+CKbX9t151dH9WmVVukyMvjRTLGaMffu3T1UbeoZv1UPfHVfWp8VEO3ywIAAEAEIKADqFTzPlmkJ294VRm79x5oKY+icF6QMUa7tqTp+uNvV2qdZD32+Qg1P76J22UBAADAwwjoACrF/93zjv7zwhfKzc6NmOvLK4IxRmnb92hgmxFKrpWkMZ/frSNbN3O7LAAAAHgQAR1A2GRmZmrkBU/q529WBO6rKsH8YMYY7dmZoUHt7lVSanU9PPVOHdPuSLfLAgAAgIcQ0AFUuA2/bdI9Pf6lLeu3VdlAXhRjjDLS9umWM0epenKCHvhwuI4/81i3ywIAAIAHENABVJiZ78zV84PHa1/G/irVjb0sjDHat2e/bv/nw0pIqqaR796ik8493u2yAAAA4CICOoBye2HoeH0+bqbycvMI5qVkjNH+jEzd3f0xVaser3smDVa7805yuywAAAC4gIAOoEwyMjJ1z3mP6rf5awL3EczLzhijzH1Zuv/CJxWfEKfbXx+gM/uc6nZZAAAAqETGcRzH7SJQedLT05WSkqK0tDQlJye7XQ4i0B9L1+veno9rx6ZdBPIwchxHcfGxGvbqDTr78tPdLgcAAISI422UBwG9imGHgbL6fNwMvXrHv5W5N4tgXokcx1FsXIwGPXetul3bye1yAABACTjeRnkQ0KsYdhgorceve0Wz3v1OeXk2wdxFjuMoJs6vG/91pXre1NntcgAAQBE43kZ5ENCrGHYYCEXG7gzd0flR/bF0vdul4CCO48gf69cNj1ym3kPPc7scAABwEI63UR6W2wUA8I5l81bqksMGqne9GwnnHmWMUV5Onl69Y5LOS7xa7z3+sdslAQAAoILQgl7FcEYPwXzwzGeaMHqysjOz6cYeYRzHkc/v0+V399TV9/dxuxwAAKo8jrdRHgT0KoYdBvLl5ubq0Stf0LyPF8q2HYJ5hHMcRz6fpYtvO1/XPXSZ2+UAAFBlcbyN8qCLO1AFTZs4W90T++m7jxbKcZi/PBoYY2Tbjt574hN1TbhSr9w20e2SAAAAUEoEdKAKOq7dP0Tnmejl2I6mvDhNXatdqReGjne7HAAAAISIgA5UQY2PaigjWs2jneM4+nTsDHWt1ldP3fia2+UAAACgBAR0oIoyfPqrDMeRvpr4jbrE99W/rn3J7XIAAABQBA7RgSoqMbW62yXABTPfmacu8X310BXPuV0KAAAADkJAB6qoo9q0cLsEuGjuf+arS3xfjbzoSeXm5rpdDgAAAERAB6qsy+/u6XYJ8IAfP/tJ3RP76d4L/kVQBwAAcBkBHaiiWrY/mpHcEbDwq6XqnthPd3V9lKAOAADgEgI6UIX5/D63S4DHLJn9q7on9tPwsx8gqAMAAFQyAjpQhaXWTXa7BHjUr/N+V/fq/TT0zJHKzMx0uxwAAIAqgYAOVGGNj2zgdgnwMiP9Nn+NeqZcr0Gn3ktQBwAACDMCOlCFnXFRO7dLQCQw0uol69Qz5ToNOOVuZWQQ1AEAAMKBgA5UYd2uP4uB4hA6Y7Ru2Qb1rnWdbmh9hzJ2Z7hdEQAAQFQhoANVmN/vlzHG7TIQYYwx2rByk3rXu1HXthyu3dvT3C4JAAAgKhDQgSourlqs2yUgQhljtGn1Fl3S6CZdc8ww7di82+2SAAAAIhoBHaji6jer43YJiHDGGP29dqsub3KzrvrHLdr213a3SwIAAIhIBHSgiutwQRu3S0CUMMZo65/b1bfFUPVtMUSb121zuyQAAICIQkAHqriLbu/BQHGoUMYYbd+4U1cfdYsub3qzNq7Z7HZJAAAAEYGADlRxiYnxDBSHsDDGaOfmNF177HBd0vgmrVu+we2SAAAAPI2ADkAxcX63S0AUM8YobVu6bjzxLl3ccIBWLVnrdkkAAACeREAHoDqH1XK7BFQBxhil78zQoHb36qL6N2rFj6vcLgkAAMBTCOgA1O68E90uAVWIMUYZu/fqljNHqXfd/lo2b6XbJQEAAHgCAR2ALrvrAgaKQ6Uzxmhv+j4NP+tBXVjnei2etcztkgAAAFxFQAeg1NopDBQH1xhjtG9Ppu7u+qh61rpO879c4nZJAAAAriCgA5Ak+WMZKA7uMsYoc2+W7rvgcV1Q81rN/Wi+2yUBAABUKgI6AElS7YY13C4BkHQgqGfty9aDlz6rHqnXaNbkeW6XBAAAUCkI6AAkSW26tHa7BKAQY4yyM3M05soXdX7KNZo2cbbbJQEAAIQVAR2AJOnyEb0YKA6eZIxRTlaOnu4/Vt2T++nzcTPcLgkAACAsCOgAJEm16qcyUBw8zRij3OxcPXvzGzov6WpNeWma2yUBAABUKAI6gABfjM/tEoASGWOUl5OnV4ZP1HmJV+u9pz5xuyQAAIAKQUAHEFCrAQPFIXIYY5SXm6dx97yjbtWv0juPfeR2SQAAAOVCQAcQcOLZLd0uASg1Y4zsPFvjR72vbtWv0vhR77tdEgAAQJkQ0AEEXHE3A8UhcuUH9Xce+0jdEq7U63f/2+2SAAAASoWADiCgftM6MmKgOEQ2Y4xs29EHz36urtWu1MvDJ7hdEgAAQEgI6AAKYaA4RBPHcfTxy9PVtVpfPXvT/7ldDgAAQLEI6AAKqVEvxe0SgArnONIX42epS7W+euKGV90uBwAAICgCOoBCTuh4rNslAOHjSDMmfasu8X316FUvuF0NAABAIQR0AIVcfldPBopDlTBn8g/qEt9XD1zytNulAAAASCKgAzhI46MaMlAcqpR5UxepS3xf3X/hE8rNzXW7HAAAUIUR0AEcIiY+xu0SgEo3/4sl6p7YTyO6jyGoAwAAVxDQARyidsMabpcAuGbx18vUPbGf7vjnQwR1AABQqQjoAA5xVNsWbpcAuG7ptyvVPbGfbu00mqAOAAAqBQEdwCGuvKc3A8UB/7Xih1XqXr2fhnS4T5mZmW6XAwAAohgBHcAhGCgOOIiRfl+0Vj1TrtNNbe9RRgZBHQAAVDwCOoCgfLE+t0sAvMcY/bF0vXrXuk43nnQnQR0AAFQoAjqAoGrUS3G7BMCzjDFav3yjete6Tte3ul0ZuzPcLgkAAEQBAjqAoJoc08jtEgDPM8bor1V/q3e9G3XtccO1e3ua2yUBAIAIRkAHENRp55/sdglAxDDGaNOaLbqk0U3qd/St2rF5t9slAQCACERABxBUt+vPYiR3oJSMMdq8bpsub3KzrjxiiLb9td3tkgAAQAQhoAMIyu/3yxhGcgfKwhijbX/tVN8WQ3V5s0HauGaz2yUBAIAIQEAHUKSYWL/bJQARzRijnX/v1rXHDtelh9+sDb9tcrskAADgYQR0AEWq1bCG2yUAUcEYo91b03T98bfrksMG6o+l690uCQAAeBABHUCRTuh0nNslAFHFGKO07Xs0sM0I9WkwQCsXrna7JAAA4CEEdABFuvSOHgwUB4SBMUZ7dmVoaIeR6l2vv5bNW+l2SQAAwAMI6ACK1KhFfbdLAKKaMUZ70/Zp+FkP6sI6N2jpN8vdLgkAALiIgA6gWD6fz+0SgKhnjNG+Pft1+z8fVq/a12vxjKVulwQAAFxAQAdQrMTUBLdLAKoMY4z2Z2Tq7u6PqWfN6/Tj54vdLgkAAFQiAjqAYrU4oanbJQBVjjFGmfuydP+FT+qCGtfqmw9+cLskAABQCQjoAIp13vVnuV0CUGUZY5S1P1sP931ePVKu0cx35rpdEgAACCMCuoeMGTNGbdq0UVJSkurWratevXrpt99+CyzfuXOnhgwZoqOOOkrVqlXT4YcfrqFDhyotLc3FqhHtzuxzKiO5Ay4zxig7K0ePXfOyzk/upy/Gz3a7JAAAEAYEdA+ZM2eOBg0apB9++EHTp09XTk6OOnfurL1790qSNm3apE2bNunJJ5/UsmXLNGHCBE2bNk3XX3+9y5Uj2hlj3C4BgA58FnOyc/XMwLHqnny1Pn7lK7dLAgAAFcg4NI151rZt21S3bl3NmTNHZ555ZtB1Jk+erCuvvFJ79+6V3+8vcZvp6elKSUlRWlqakpOTK7pkRKkLal6rrH3ZbpeBUnAchxMrVYDjOPLH+nXDI5ep99Dz3C4HACCOt1E+tKB7WH7X9Zo1axa7TnJyckjhHCirBs3qul0CgCCMMcrLydOrd0xSt8Sr9N7jH7tdEgAAKAcCukfZtq1bb71VHTp0UMuWLYOus337dj300EO68cYbi9xOVlaW0tPTC92A0jr1/JPdLgFAMYwxsnNtjbv/PXWrfpUmPvSB2yUBAIAyIKB71KBBg7Rs2TK9++67QZenp6ere/fuOvbYYzV69OgitzNmzBilpKQEbo0bNw5TxYhmbboc73YJAEJgjJGdZ2vSw/9Rt4Qr9cb9wb9DAACANxHQPWjw4MH69NNPNWvWLB122GGHLN+zZ4+6du2qpKQkTZkyRTExMUVua8SIEUpLSwvcNmzYEM7SEaV2btrtdgkASsEYI9t29N4Tn6hrwpV69Y633C4JAACEgIDuIY7jaPDgwZoyZYpmzpypZs2aHbJOenq6OnfurNjYWE2dOlXx8fHFbjMuLk7JycmFbkBppdblfQNEKsd2NOWFaepa7Uq9MHS82+UAAIBiENA9ZNCgQZo0aZLefvttJSUlafPmzdq8ebP2798v6X/hfO/evRo3bpzS09MD6+Tl5blcPaJZcu0kt0sAUE6O4+jTsTPUtVpfPXXja26XAwAAgmCaNQ8pakqk8ePH65prrtHs2bN11llnBV1n7dq1atq0aYnPwbQPKIuM3Rm6qP4At8tAKTDNGkJx9uXtddf4QW6XAQBRheNtlAcBvYphh4GyyM3N1XnVrybwRRACOkrjjIva6b5/D3W7DACIChxvozzo4g6gRH6/3+0SAITRtx/+qC7xfTWqz1PKzc11uxwAAKosAjoAAJAk/fDpYnVP7Kd7L/gXQR0AABcQ0AEAQCELv1qq7on9dFfXRwnqAABUIgI6AAAIasnsX9U9sZ+Gn/0AQR0AgEpAQAeAKMUYoKgov877Xd2r99PQM0cqMzPT7XIAAIhaBHQAiELGGIl8jopkpN/mr1HPlOs16NR7CeoAAIQBAR0AohWzrCEcjLR6yTr1TLlOA9uMUEYGQR0AgIpCQAeAKGWMkWPTjI4wMUZrf/lTvWtdp/4n3qmM3RluVwQAQMQjoANANKMVHWFmjNGfKzaqd70bdV2r2wjqAACUAwEdAKIcreioDMYYbVy1Wb3r3ahrjhmmHZt3u10SAAARh4AOAFHMGEMrOiqVMUZ/r92qy5vcrKv+cYu2/bXd7ZIAAIgYBHQAISHjASgNY4y2/rldfVsMVd8WQ7R53Ta3SwIAwPMI6ABCRESPRI7jMN0aXGWM0faNO3X1Ubfo8qY3a+OazW6XBACAZxHQASBK5YdzY3FyBe4zxmjn5jRde+xwXdL4Jq1bvsHtkgAA8BwCOoDQkPEiCuEcXmWMUdq2dN144l26pNEA/bF0vdslAQDgGQR0AIhGhHN4nDFGaTsyNLDNCPVpcKNWLlztdkkAALiOgA4AUcZxHHo8IGIYY7Rn114N7TBSvev117J5K90uCQAA1xDQASCKBLq2GxI6IosxRnvT9mn4WQ/qwjrXa/GsZW6XBABApSOgA0CU4LpzRANjjPbtydTdXR9Vz1rXaf6XS9wuCQCASkNAB4AoQDhHtDHGKHNvlu674HFdUPNazf1ovtslAQAQdgR0AIhwhHNEM2OMsvZl68FLn1WP1Gs0a/I8t0sCACBsCOgAQkP28y7COaoAY4yyM3M05soX1SPlGs2Y9K3bJQEAUOEI6ABCQvzzJsd2COeoUowxys7K0ePXv6Lzk/vp83Ez3C4JAIAKQ0AHEBLHcbsCHIzp1FCVGWOUk52rZ29+Q92TrtbHr3zldkkAAJQbAR1ASGil9RamUwMOMMYoNydPL906QeclXq0PnvnM7ZIAACgzAjqAkPj8PrdLwH8xKBxwKGOM8nLzNPbuf6tb9av0zmMfuV0SAAClRkAHEJKJvz+n6skJB8IhXEM4B4pnjJGdZ2v8qPfVrfpVGj/qfbdLAgAgZAR0ACGpVT9V/9n6unoP7eZ2KVUW4RwIXX5Qf+exj9Qt4Uq9fve/3S4JAIASGYfmsColPT1dKSkpSktLU3JystvlIEJl7M7QtcfeprQde7gGuhIxYjtQPsYYXXDTubr56WvcLgVAFON4G+VBCzqAUktMTdTkTa+p36g+dHmvJLzOQPk5jqOPX56urtX66rnB49wuBwCAQxDQAZRZ33t6q9UZR7tdRpVgjGFKNaCCOI70+f/NVJdqffXEDa+6XQ4AAAEEdADl8tSMkYqJ87tdRpXh2LSkAxXGkWZM+lZd4vtqTL8X3a4GAAACOoDyG//rUxK5Mey43h8In9nvfa8u8X314GXPuF0KAKAKI6ADKLc6h9VWl2s7cZ00gIj33UcL1SW+r+6/8Anl5ua6XQ4AoIohoAOoEMNf7a/kmklulxH9aEQHKsX8L5aoe2I/jeg+hqAOAKg0BHQAFWbCqufcLgEAKtTir5epe2I/3dn5YYI6ACDsCOgAKkxiYrzuGn8TXd3DjIHigMr38zcr1D2xn4adNZqgDgAIGwI6gAp19uWnq2WHo9wuI2oxUBzgruXfr1L36v005PT7lZmZ6XY5AIAoQ0AHUOGenjlKsXExbpcBAOFhpN8X/qGeKddr0Kn3ENQBABWGgA4gLF7/+QmmXgsXGtEBbzDS6iXr1TPlOg04+S5lZBDUAQDlQ0AHEBb1m9bRFSN6cT06gOhnjNb9+pd617pON5xwhzJ2Z7hdEQAgQhHQAYRNv9EXq0Gzum6XEZUYKA7wHmOMNvy2Sb3r3ahrjxuu3dvT3C4JABBhCOgAwmrcsidlLPpkVyQGigO8zRijTWu26JJGN6nf0bdqx+bdbpcEAIgQBHQAYeX3+/X4tHvo6g6gyjHGaPO6bbq8yc268sih2vbXdrdLAgB4HAEdQNgdf+ax6nTJaYT0ikQjOhAxjDHatmGH+rYYqiuaDdbmddvcLgkA4FEEdACV4p63hqh6cjW3ywAA1xhjtOPvXbr6qFt0WZObteG3TW6XBADwGAI6gErz/NyH3C4hqjBQHBCZjDHatSVN1x9/uy45bKD+WLre7ZIAAB5BQAdQaRof1VC3vtKfru4VgIHigMhnjFHa9j0a2GaE+jQcoFVL1rpdEgDAZQR0AJWq27WddNg/GrhdBgB4hjFGe3ZmaFC7e3VRvf5a8eMqt0sCALiEgA6g0o396V+yfOx+yo1GdCCqGGOUkbZPt5w5ShfWuUFLv1nudkkAgErGETKASuf3+/XMnFF0dQeAIIwx2rdnv27/58PqVft6LZ6x1O2SAACVhIAOwBVHn3KEul57FiG9nBgoDohexhjtz8jU3d0fU89a1+nHzxe7XRIAIMwI6ABcM/zV/kqtk+x2GRGLgeKAqsEYo8y9Wbr/wid1Qc1rNfej+W6XBAAIEwI6AFdNXP2s2yVENkMrOlBVGGOUtS9bD176rHqkXqOZ78x1uyQAQAUjoANwVXx8vO6dNISu7mVkjJGxjBzb4TUEqghjjLIzc/TYNS/r/JR+mjZxttslAQAqCAEdgOvO7HOqTj63ldtlRDRjHejuTms6UHUYY5STlaun+49V9+R++uS16W6XBAAoJwI6AE8Y89kIxSXEul1GRDPG0OUdqIKMMcrNztULQ8frvKSr9Z/nP3e7JABAGRHQAXjG+OXPuF1CxCOkA1WXMUZ5OXl69Y5JOi/xar3/9FS3SwIAlBIBHYBn1KqfquseuYxrqcuJkA5UbcYY5WTnaNyo/+i8lGv07zH/cbskAECICOgAPCU2PsbtEqICIR2o2iy/T8YY2Y7RxEenqltyP40f/b7bZQEASmAcmqqqlPT0dKWkpCgtLU3Jycw/DW8ZfNp9+n3xH8zvXYEcx5Gc/w0iByD62bYtKy7ukH2p4ziyjKNeAztrwON9XaoOiH4cb6M8aEEH4LqMjEydn9JPq35aSzivYLSkA1VPfuv5wYwxcmRpyqsz1DWpn168dULlFwcAKBYBHYDrLm14o3Kyct0uI2oxVzpQddi2Lfn8Ja9oLH36xhx1Teqnp296PfyFAQBCQkAH4KpRfZ5Sbnae22VUCcyVDkS/olrPi2QsffXveeqa2E+PX/9K+AoDAISEgA7AVYtn/OJ2CVUKXd6B6BVy63kwlqWZk+era2I/PXrVixVbGAAgZAR0AK5q0Lyu2yVUOYR0IDqVuvU86EYsffPxInVN7KcHLn2mYgoDAISMgA7AVaMmD+e6aBcQ0oHoUq7W82AsS99/sVRdE/vpvgufUG4u44QAQGUgoANwVaMW9VU9uZrbZVRJhHQgelRI63nQDVta+PVydU+9Xnd3H0NQB4AwI6ADcN3dbw6iFd0lhHQg8lV463kQxrK05Nvf1T31et3+z4cJ6gAQJgR0AK5rd95Jio2LcbuMKouQDkS2sLWeB2EsS8t+XKPuqdfr1k6jCeoAUMEI6AA84ZoHLqEV3UWEdCAyVUbreTDGsrRy8Xp1T71eQzrcr8zMzEqvAQCiEQEdgCf0GdZdiSnV3S6jSjPGyFhGjuNwsgSIEJXZeh6MsSyt+uUv9aw9QDe1u0cZGftdqwUAogEBHYBnvL/pFfn8PrfLqPLyD/ZpTQe8za3W82CMZWntir91Uf2BGnDK3QR1ACgjAjoAz/D7/Xp73QuyfOya3EaXd8D73G49D8ZYltb/vkUX1R+o61vfoYzdGW6XBAARhaNgAJ6SWjtFn6SNV/WUBLpZu4yQDniXl1rPgzGWpY1/bNdFhw3StS1v0+7taW6XBAARgYAOwHP8fr/+s+V1te3WmpDuMkI64E2Wz3ut58EYy9Lff+7UpU2H6upjhmnH5l1ulwQAnkZAB+BZD390p+6ecLPbZVR5hHTAW2zblvzebT0PxliWtm7crSuOuFVXHnmLNq/f6nZJAOBJBHQAnnb25afrw82vybK831IUzQjpgHdESut5MMaytH1Luvodd4cubzFEG9dsdrskAPAUAjoAz0tMTdTkTa8yeJzLCk3DRlAHXBGJrefBGMvSrm0Zuu6Eu3RZ00Fat/wvt0sCAE/gaBdAREhMTdTkja8oQhuNokqgNZ2gDlQ6E8Gt58EYy9Lunfs0oN19urjxzfpj2Tq3SwIAVxHQAUSMxNREjVv2lEQmdJ0xplC3d4I6EH62bctEQet5MMYY7Unbr5tOG60+hw3UyoWr3S4JAFxBQAcQURq1qK9rHriY0d09Ir/bO9enA+EXba3nwRhjlJGepVvOelgXNRygZfNWul0SAFQqAjqAiHP53b3U+B8N3S4DBXB9OhBe0dx6HowxRnszsnVbl8d0Yf0b9dPsZW6XBACVgoAOICKN++VJBo3zIK5PB8KjKrSeB2OM0f59Obq7x5PqVbe/5n+1xO2SACCsOLoFELGe/+5Burp70MHXpwMon6rWeh6MMUaZmbm6/6Jn1bP2DZr36UK3SwKAsCCgA4hYR7ZupnP7nkFI96iq2NoHhENVbT0PxhijrOw8PXD5i7qg1vX65j8/uF0SAFQoAjqAiHbnGzcpPiHO7TIQhOM4BwaQA1BmtJ4HZ4xRdo6tR/q9qh41r9OMt791uyQAqBAEdAARb9wvT7hdAoKhYwNQbrSeF88Yo5xcR08MGKfza1ynz8Z97XZJAFAuBHQAEa/OYbU1+Llr6OoOIKrQeh46Y4xy8xw9f+tb6p56rT5+9Su3SwKAMiGgA4gKPQb8U4f9o4HbZeC/HMeRaPQDyoXW89IzxijPll6+4211T7lWHzz7mdslAUCpENABRI2xP/2Lg1kP4W8BlB2t5+VjjFGeI71+/2Sdl3KN3v7Xx26XBAAhIaADiBp+v1/jlj0pcqEHcLUBUC60nlcMY4xsx+jNh6eoW/I1mvDgZLdLAoBiEdABRJVGLerrg79fU2x8jNulVFmMBQCUD63nFc8YI0dG7zzxmbol99P/3fuO2yUBQFAEdABRJzE1UZ/snqCmLRsTFl3C9GpA2dF6Hj4HgrqlD174Sl2T+umVO95yuyQAKISADiBqvbbwMXXp15GQXtl4uYEyo/W8EhlLH782U12T+um5IePcrgYAJBHQAUS528YO0LUPXEJIryS8zkD50HruAmPpizfnqmtiPz01YKzb1QCo4gjoAKLe5Xf30ohJg2nZrSR0bwfKxrZtGZ/P7TKqLsvS9He+V9fEfvrXtS+7XQ2AKoqADqBKOOvi9nr2m9FulxH9OAkClJnx+WQsDs1cZ1ma9eECdU3sp4eveM7tagBUMXwLAKgyjml3pFJqJ7ldBgAcgtZzD7Iszf10ibomXq1RfZ5Sbm6u2xUBqAII6ACqjJnvzNXubelulxG1uP4cKDtazz3M8unHr5ape+r1uueCfxHUAYQV3wQAqownrn+NwZfCjOvPgdKj9TwyGMvS4tkr1f3I23THNWMJ6gDCgoAOoEoY1ecp2bbtdhlRy3Ecrj8Hysj4LFrPI4htWVry+1Z1a/eghvV9maAOoELxbQAg6u3enqYfPlnkdhnRzaH1HCiLA63nzHseUfJPRsbFatnanerW7kENvewlZWZmu1oWgOhAQAcQ9QaePEKia3vYcO05UHa0nkeBuFit+HOXenR4RIP6PE9QB1AufCMAiGrffPCDdm7e7XYZ0Y3Wc6BMaD2PVEWclIyL0e+b0tXj9Ec0oNczysjIrNyyAEQFAjqAqDam30sMDBdGjuNIvLxAmdB6HqViY/TH1r26sNMY3dDjaWWk7XO7IgARhG8FAFHr4b7Py85jYLiwcsQJEKAMaD2vAmJjtH7HPl14zuO69rwntXvnHrcrAhABCOgAolJGRqa+/eBHt8uIao7j0LUdKCNaz6uQWL/+2p2pi7s8pX5dHtf2reluVwTAw/hmABCVBrS+g67XYcS0akDZ0Xoe4cq674vxa9OebF3e/Wldee5j2vb3zgotC0B0IKADiDrzv1yibRt2uF1G1KP1HCgb4/PReh7Rynl2MsavLftydUXP53XF2Y9q818EdQD/w7cDgKjzQJ+nuS46jGg9B8ruQOu5z+0y4AV+v7Zl2rqq9wu6rNMj+vOPLW5XBMADCOgAospzg8cpJzvX7TKiG9OqAWVG6zkO4fdpR7aj6y97VRef+bDW/f632xUBcBHfEACiRmZmpj7/v5m0noeR49B0DpQVrecolt+n3blS/yvHqs/pD+n3X/9yuyIALiCgA4gaN7e51+0Soh+t50CZ0XqOkPh9SrONBl03Thd1eFDLl6xzuyIAlYhvCQBRYcWPq/QX3QLDynEcRsYHyojW82hSST2JfD6lO5ZuGTBRF572gH6ev7pynheAqwjoAKLCHZ0fpmt7GOUPDMdrDJQNredRpLKv9PFZyjA+3T7kbfU89QEtmvt7JRcAoDLxTeEhY8aMUZs2bZSUlKS6deuqV69e+u233wqtk5mZqUGDBqlWrVpKTEzURRddpC1bGPUTVdvTA19XdmaO22VEPbq2A2VD6zkqhM/SPsunu29/Vxe0G60fZi13uyIAYUBA95A5c+Zo0KBB+uGHHzR9+nTl5OSoc+fO2rt3b2CdYcOG6ZNPPtHkyZM1Z84cbdq0Sb1793axasBdGbsz9OX42bTshhHTqgHlQ+t5lHF7f2hZ2u/z6/4RH6hH21Ga+9UylwsCUJGMw5C8nrVt2zbVrVtXc+bM0Zlnnqm0tDTVqVNHb7/9tvr06SNJWrlypY455hh9//33OvXUU0vcZnp6ulJSUpSWlqbk5ORw/wpA2F16+E3avTXd7TKimmM7tJ4DZWTbtqzYWAJ6FMmrkSQ1qut2Gf9j24rLy9PwkT11do+T3K4G4ngb5cO3hYelpaVJkmrWrClJWrRokXJycnTuuecG1jn66KN1+OGH6/vvvw+6jaysLKWnpxe6AdHi83EztGtLmttlRDXO4aKi2LbtuZvjOIFbuBifRThHeFmWsmJiNOaRz9T9lJH68sMFblcEoBz8bheA4Gzb1q233qoOHTqoZcuWkqTNmzcrNjZWqamphdatV6+eNm/eHHQ7Y8aM0QMPPBDucoFKl5ubq+cHj6dre7gxrRoqSCS1IldkYOfTg0pjGWXHxurJJ6bpuUc/0U23d1OPy09zuyoApRQZ35RV0KBBg7Rs2TK9++675drOiBEjlJaWFrht2LChgioE3DWs0wOicTe8mFYNVZUxpkJvQKWyjHLiYvX88zN03skj9eGEb92uCEApENA9aPDgwfr00081a9YsHXbYYYH769evr+zsbO3evbvQ+lu2bFH9+vWDbisuLk7JycmFbkCkW7VkrX5bsMbtMqIf06oBQOQyB4L6q6/NVreT79f7r892uyIAISCge4jjOBo8eLCmTJmimTNnqlmzZoWWn3zyyYqJidHXX38duO+3337Tn3/+qdNOowsTqo4R3cYQHMPMcRgYDhWMzyzgDmOUGxen19/4Vt1Oul+TXp7udkUAisE16B4yaNAgvf322/r444+VlJQUuK48JSVF1apVU0pKiq6//noNHz5cNWvWVHJysoYMGaLTTjstpBHcgWiRkbbP7RKiWmBaNfIUAAQRoddXGaPc+Di9+dYPmvR/3+iyq9rrmmHd3K4KwEGYZs1DimoRHD9+vK655hpJUmZmpm677Ta98847ysrKUpcuXfTyyy8X2cX9YEz7gGjQOe4KWtDDyHEcXl9UvJgY3leICnk1EqVG9dwuo/wcR76sbF14SVsNuLuH29VEFY63UR4E9CqGHQaiAQE9fPJbz+nejgpHQEeUiJqAXoCVmaUevU7S4JEXul1KVOB4G+XBNegAIsqKH1dxkB9OhHMAKF4Utm3Z8XH6eNqv6nLS/Xr6vslulwNUaQR0ABHlu48Xul1C1KJDFQBUbXZ8nL6Y+Zs6n3S//nVX+ab6BVA2BHQAEeX3hUyvFja0ngNAyarAuUwnPk4zvl2tzifdr0eGTXK7HKBKIaADiCh/rdrsdglRyXEcRm0HABTixMdp9o/r1PmkkRo1+E23ywGqBAI6gIiSvjPD7RKiTmBgOK7tBwAE4cTHat7iDfrnSSN134A3lJub63ZJQNQioAOIKDlZOW6XEJXo2g4AKFF8rH78ZZO6tX1Qd133OkEdCAMCOoCIwkBmFSu/9RwAgJDFx2rxyi3q1u5B3Xb1qwR1oAIR0AFEjBmTvqUbdkVjYDgAQFnFxWrp6u3q1u5B3XL5SwR1oAIQ0AFEjKVzV7pdQlShNwIAoELExWr5+l3q1u4hDe7zvDIzs92uCIhYBHQAEWPzH1vcLiG60HoOAKhIcTH6bVO6epz+iAZe+KwyMjLdrgiIOAR0ABFjIwG9wjCtGgAgbGJjtGZLhi7sNEb9L3haGWn73K4IiBgEdAARYw9TrFUcplUDgLLh8qDQxcZo3fZ9uvCcx3XdeU8S1IEQENABRIys/VzTVhEcx6FrOwCg8sT6tWF3pi4893Fd0/UJ7d65x+2KAM8ioAOIGI5Nq0V5Ma0aAMA1MX5tTM/SxV2e0lWd/6Vtf+90uyLAcwjoACLCht82uV1C1KD1HADKgS7u5Rfj1+aMHF1xwfPqe85j2vwXQR3IR0AHEBGWzP6Va6bLidZzAICnxPi1dX+urur9gi4761FtWr/N7YoA1xHQAUSEBV/97HYJkY9p1eAiTrABKJLfpx1Ztvpd/LIuOfMRrfv9b7crAlxDQAcQEdYt2+B2CRHNoUsmAMDr/D7tynXU/8qxuviMh/XHSi5vQ9VDQAcQEZhirZxoPYeLOEEEoFT8Pu3Okwb0e10XdXhQvy390+2KgEpDQAcQEbL257hdQsRyHEcimwMAIo3Pp3TH0uD+43Vh+we0bNEfblcEhB0BHUBEyMvNc7uEiJQ/MBzX/8JNtKADKBefTxnyadjNk9TrtAf00w+r3a4ICBsCOoCIwAF+2dG1HQAQFXyW9hqf7rzlbfVsN1rzv1nhdkVAhSOgA/C8jN0ZtACXAdOqAQCiks/SPp9f9945WRe0HaV5M5a5XRFQYQjoADxvw29Mt1ImDAwHABWPE5/eYVna74/RqPv+ox5tRmnWpz+5XRFQbgR0AJ439dWv3C4h4nBJAACEC/tXz7EsZcbE6NGHP1H3U0Zq29873a4IKDMCOgDPW/rNSrdLiDy0ngMAqhrLUnZsrFb9yvzpiFwEdACel7Y93e0SIgrTqgFAGNGADiCMCOgAPC83O9ftEiIL06oBAABEJAI6AM/jcurQOY5D13YAAIAIRUAH4HkMeBYaplUDAACIbAR0AJ62cc1mumuHioHhAAAAIhoBHYCnzf3wR7dLiAj0MgAAAIh8BHQAnvb95z+5XUJkoPUcAAAg4hHQAXjazr93uV2C5zGtGgBUHsNgHwDCiIAOwNP27Nzrdgmelj8wHNfpAwAARD4COgBPy9yX5XYJnkfXdgAAgOhAQAfgaXae7XYJnsW0agDgAva7AMKIgA7A0xidvBgMDAcAABBVCOgAPGvDb5u4troInLgAAACIPgR0AJ41fdI3bpfgXbSeA4A7OD8KIIwI6AA865e5K90uwZMcxyGcAwAARCECOgDP2rxum9sleA4DwwEAAEQvAjoAz9q9Ld3tEjyJ1nMAAIDoREAH4Fl2LlOsFUTrOQAAQHQjoANApGBgOADwAM6UAggfAjoAT8rNzWUqsQIcx5HI5gAAAFGNgA7Ak374dDFzoBfkiNcDAAAgyhHQAXjSrPe/d7sEz2BaNQAAgKqBgA7Ak9b8tM7tEjyBgeEAAACqDgI6AE/atSXN7RK8gYHhAMBbOGkKIIwI6AA8KSsz2+0SXMcgeQAAAFULAR2AJzk24ZTWc0QNBjgEACAkBHQAnlTVW4+ZVg0AAKDqIaAD8Jxtf213uwRX5Q8Mx7RqAAAAVQsBHYDnvHbX21U+nNK1HQAAoOohoAPwnA0rN7pdgmuYVg0APK6KX4IFILwI6AA8Z/e2dLdLcA8DwwEAAFRZBHQAnrN/T6bbJbiiqg+MBwAAUNUR0AF4Tk5WjtsluIPWcwAAgCqNgA7Ac+wqOAe64ziEcwAAgCqOgA7Ac6paV28GhgOASMIOG0D4ENABeMrGNZur5BRrtJ4DAACAgA7AU2a/N8/tEioVrecAAADIR0AH4Cnff7LY7RIqFwPDAQAA4L8I6AA8Zcv6bW6XUGmq2rX2AAAAKB4BHYCnZO7NcruEykPrOQAAAAogoAPwlOzsqjEHOtOqAUCEovMTgDDyu10AABTk2E7Uj+JuG8mkJMkp6vc0gf8rWokvUZAVin2MKfafJTKH/FCWBxf58JC3mr+iE+xOSabAAkehvdYeY2/eLivKPyMAAFRVBHQAnpGZmel2CZXC1K4hX3Ze0a0wFdI6U9qN0CQUMerVkrbudLsKAAAQBnRxB+AZP89cHv2t5z5LVq7tdhmIYFZWrpzUJLfLAAAAYUBAB+AZy39c7XYJYWfVSpWxaa1G+VjGkh0X63YZAACgghHQAXjGD58ucruEsLLjYmSyc90uA1HA2I58yYmyo7vDCeBRnGQFED4EdACesWtrutslhJWVmlxojDKgPEx2rqy6tSIjKjgRUSUAAK4joAPwjIzde90uIWzshHiZzKoxhRwqj5WZI9VKdbuMEtHQDwBAaAjoADzDyYvewdOsxOqEFISFlWfLrl7N7TIAAEAFIKAD8Aw7SrvBOsnVZWXReo7wMI7ki4+X7eMrHQCASMe3OQDviMJ87kgycXFul4EoZ3LzZNWu4eGPEP1HEEW8+0EDEAX8bhcAAFGtZrIsRm5HJbAyc2TXrXUgCzuOHMeRbFuyHSkvT05unpSXJ+XkythO5UZm8jkAACEhoAPwDMdxZEz0HMnbknzGJynP7VJQRRR5KYXxSTE+KUZS/H8bAC0jWZYcy0jG/C9E/zfcO7vSZQqMC2EC/1fonqIFPsuODAkdAICQENABeEJubvS1MpvaqTI5hHN4j5EOtKzbeUVGZ7tGipz0vbKidGwIAAC8iGvQAXjCn8s3RlfruTGyondQelQBVnauTEqi7Oj5WAIVg3NWAMKIgA7AE5of3+TANbNRwqpTo1D3YCASWVk5MilJ4p0MAEDlIKAD8ITd29OipgXd9vtksunajuhgZeXI1EiSTbMhAABhR0AH4Al/Lt/odgkVxqqVKhNFvQEAKzNHpkaybN7XAACEFQEdgCdsWrfV7RIqhB0fK5NZxEjaQASzMnNkaibTjg4AQBgR0AF4wtb1290uoUJYKUlMKIWoZWXmSDWSCOkAAIQJAR2AJ+zctNvtEsrNqZ5wIMAAUYyQDgBA+BDQAXjCrm1pbpdQLo4kU72a22UAlSI/pAMAgIpFQAfgCWnb97hdQvmkJMrKovUcVYeVmSMnNdHtMgAAiCoEdACesDdtn9sllJntOLJiY90uA6h0Vlau7NTqbpcBVDIu8AAQPgR0AJ6wf89+t0soM1MrVSY71+0yAFf4svJkJxPSAQCoCAR0AJ6QvT/b7RLKxJZkGXalqNp8OXlykhPcLgMAgIjHUSUAT8jOiswWaFOnhkxunttlAK4zObacRAZKBACgPAjoADwhLyfyQq5tGVm5tttlAJ5gJJk8R3b1eLdLAQAgYhHQAXhCXl7kBV2rdg0Zm8GCgHxGkuWIkA4AQBkR0AF4gh1hAd2O9ctkR16rPxBuxpEsx8hOiHO7FAAAIg4BHYAnOE5ktURbNVJkIqxmoLIYx5ElS3a1GLdLASoeu34AYURAB4BSsqvFyWTmuF0G4GnGcWRZftnxhHQAAEJFQAfgDRHUGm0lJ8q4XQQQAYztyPLFyI71u10KAAARgYAOwBMiJZ47SQmyaD0HQmZsW1ZsrOwYn9ulAADgeQR0AAiRI8lUY3RqoLRMni0rPk62n5AOAEBxCOgAEKrUJFlZuW5XAUQkk2vLqhYv28ehByIbA4QCCCe+JQG4Ljc3V8Z4+6pu23Fk+bmOFigPk5snq3o1QjoAAEXgGxKA67as3+52CSUytVNlcpj3HCgvk5MnUz1BtuXtk3IAALiBgA7AdVvWbnW7hGLZRrIcwgRQUaycXJmk6oR0AAAOQkAH4Lqtm3a6XUKxTO0aMnm222UAUcXKzpVJri6bjA4AQAABHYDrtvyxze0SimT7LFm5hHMgHKysXJmUJPEJAwDgAAI6ANdtXLPZ7RKKZNVOlbEZsRcIFysrRyaVkA4AgERAB+AB2/7a4XYJQdlxMTJMqwaEnZWVI1MjSbY4GQYAqNoI6ABcl7Z9j9slBGWlJsuQF4BKYWXmyNRIls0c0wCAKoyADsB1+/fsd7uEQ9gJ8TKZOW6XAVQpVmaOTM1k2tEBAFUWAR2A63KyvDe/uJVUXQwuDVQ+KzNHqpFESAcAVEkEdACuy83x1nXeTnL1AyEBgCsI6fA23pkAwoeADsB1ebneaUF3JJm4OLfLAKo8KzNHTo0kt8sAgqB/FYDwIaADcJ1te2iCpRrJsrK91aIPVFW+zBzZqYlulwEchBZ0AOFDQPeQb775Rj169FDDhg1ljNFHH31UaHlGRoYGDx6sww47TNWqVdOxxx6rV1991Z1igQpk53njYMeWI8vnc7sMAAX4snJlp1R3uwwAACoFAd1D9u7dqxNOOEEvvfRS0OXDhw/XtGnTNGnSJK1YsUK33nqrBg8erKlTp1ZypUDFcmxvBHRTu4ZMjne62wM4wJedJyeZkA4AiH5+twvA/3Tr1k3dunUrcvm8efPUr18/derUSZJ044036rXXXtP8+fN1wQUXVFKVQMVzPNBd0DZGPg/1tAdQmMnJk5NUTcaD0zICAFBRaEGPIO3bt9fUqVO1ceNGOY6jWbNm6ffff1fnzp3dLg0oH/fzuUydGjJ5JHTATY4kx0iOMXIsI8dnHbj5fZLfJ2Ms2dVi5dh28TfnoNsh/8t/HsmxdOC5/nuzfUa2zzpw81uyYyw5Mb7/3vxyYvyyY/1yYv1yYmNkx/nlxMXIiY8p8N9YOfEFbjFcOhNVPPCdBSB60YIeQV544QXdeOONOuyww+T3+2VZll5//XWdeeaZRT4mKytLWVlZgX+np6dXRqlARLH9Pvmy6doO5LNjDoROGUeS+e/0BpLkHEi15r//DSSVAj87+evlP8Q5cJMkWwcea//3JufAfY4jU+Ap8h8fLAn5ZEnVEyr+l64I5qD//pdtSY6TK2MY/RsAUDwCegR54YUX9MMPP2jq1Klq0qSJvvnmGw0aNEgNGzbUueeeG/QxY8aM0QMPPFDJlQKl4ziOqweuVq1UGeY9BwKcOL98GXQlryiWZckmmwMAQkBAjxD79+/XPffcoylTpqh79+6SpOOPP15LlizRk08+WWRAHzFihIYPHx74d3p6uho3blwpNQORwI6PlY9wDhRGmKxwTlyMTBZTOAIAikdAjxA5OTnKycmRZRUeNsDn8xU7h3RcXJzi4uLCXR4QsayUJFrPgYMYj0x9GE0sWXJsW8Zi+B8AQNEI6B6SkZGh1atXB/69du1aLVmyRDVr1tThhx+ujh076o477lC1atXUpEkTzZkzRxMnTtTTTz/tYtVA+WRkZLrWvd2pnkDrOXAQR5L2Z5W0GkrJWJYci64JAIDiEdA9ZOHChTrrrLMC/87vmt6vXz9NmDBB7777rkaMGKG+fftq586datKkiR555BENHDjQrZKBcls661dXnteRZKpXk7II6EBBTkKcrH0E9LBwHImB4gAAxSCge0inTp3kOEV3K6xfv77Gjx9fiRUB4bd6yVp3njglURbhHCjEMUbK4TrpsAmMhg8AQHBcCAXAVY4L17o6kqzY2Ep/XsDLHGNkV4+XlcOUgwAAuIUWdACu2rUlrfKftGayTDathEA+x2fJiYtharVwo3s7AKAEBHQArtry57ZKfT5bks/4JNFKCEiSHeOXLHHdeZjZtu3agJgAgMhBF3cArqpRL7VSn8/UqSGTSzgHHGNkJ8RJdp4s5ucOP7I5ACAEtKADcNX65X9V2nPZlpEv16605wO8xo71y4n1S45k9mbSal6ZihkEFgCAfAR0AK7asyuj0p7Lql1DhpZCRDHHGDnVYuX4LMmxDwRxR5JtS3m2rOxcifEXXOE4Do3oAIASEdABuCpzb+W04Nmxfvmy6dqO6JU/0But4h5l03snatAZAkAYcQ06AFdlZ1bOXORWjRQZupgiSjl+nxy/j3DuYcZm/wMAKBkBHYCrcithzmW7WpxMJZ0IACqbHeuXYyQri/e4pxHQAQAhIKADcFVeXvgDupWcyLWfiEp2fIyUlyerEk50oZwcurgDAEpGQAfgKicvvK1KTmKCLFrPEYXsarFSVo6sMH+GUEH4MwEAQkBAB+AqJ4zXhTuSTEJ82LYPuMWuHiftz5ZF6AMAIKoQ0AFEr9QkWUyrhiiTlxgvszeLL3AAAKIQ3+8AopLtODL+GLfLACpUXlI1+TIyGVMhwji2LRn+atGDrisAwoeADsBV4eribmqnysqh9RzRwZGUl1hNvj373S4FZeAYyRDQAQAhIKADiDq2kSyHg2FEB8cY2Ynx8mUQzgEAiHYEdACuyc0NTwu3qV1DJo8pjRD5HMuSXS1WvoxMt0tBeTAHOgAgRH63CwBQda1esq7Cu33aPku+XMI5Ip/j98nxW/Lty3K7FJQXc6ADAEJECzoA16TvyKjwbVq1U2VorUKEc2L8ciwjKzPH7VJQAcI5nSQAILrQgg4gathxMfIxrRoinB0XI+XmyeIyjahhbP6WAIDQ0IIOwDUbV2+u0O1ZqckyNFQhgtnVYqXsXMJ5tKFXDwAgRAR0AK7Zsm5bhW3LToiXoTswIpidECftz5ZFd+jow98UABAiAjoA1+zcvLvCtmUlVhcTqyFS5SXGy+zL4ks5WpHPAQAh4lgAgGvStu2pkO04ydVlZdF6jsiUl1RNvoxMTjABAAACOgD3ZOwu/yjujiQTF1f+YoBK5ui/4XzPfrdLQbhV8HSSAIDoxSjuAFyzN70CgkmNZFnZjNyOyOIYya5OOK8KbNuWIaADAEJECzoA12TuzSrX4205sny+CqoGqByOZWQnxMmXQTivEsjmAIBSoAUdgGuyyznquqldQyYnr4KqAcLP8VlyYv3ylfPkFCIJI8QBAEJHQAfgmtycsndNt42Rj6miEUGcGJ8cY8nan+12KahEju3QiA4ACBld3AG4Ji+37Anb1Kkhk0dCR2SwY/1yJFnZzDZQ5TAHOgCgFAjoAFxjlzFg236frGy6tiMy2PGxUm6eLC7HqJI4kQgAKA0COgDXOHbZDlytWqkytEohAtgJcVJmtiyb92uVxb4q+vAnBRBGBHQArinLcasdFytTzsHlgMqQVz1eZl8WX7RVHQE9CvE3BRA+HDcAiChWahIDLsHz8hKrydqbyXsVEr0nAAClQEAH4BqnlC1LdkK8LFrP4WGOpLykePky9hPOAQBAqRHQAUQER5KVWN3tMoAiOUayE+Pl25PpdikAAISNbdt65plndPTRRys+Pl6NGzfWbbfdpr1794b0+DFjxujiiy9W8+bNZYxR06ZNw1twhCGgA4gMKYmysmg9hzc5lpGdEC9fBuEc/+PYtmToSwEgugwbNkzDhw/XscceqxdeeEEXX3yxnn/+efXo0UN2CAMA33PPPZo5c6ZatGihGjVqVELFkcXvdgEAUBJHkhUbK2Xnul0KcAjHZ8mJ9cu3l3COwhwZGQI6gCjy66+/6oUXXlDv3r314YcfBu5v1qyZhg4dqnfffVdXXHFFsdtYs2aNmjdvLklq2bKlMjIywlpzpKEFHYArcnNLEbZrJssQzuFBjt8nx++TtT/b7VLgSQwQB6DyZWZmKj09PeRbZmboJ5jfeecdOY6jW2+9tdD9/fv3V0JCgiZNmlTiNvLDOYKjBR2AK1bOXx1Sy5ItyWd8kvLCXhNQGnasX3IcLr1AkRw5DBYIoFJlZmaqWZNEbd4a+nFT/fr1tXbtWsXHx5e47oIFC2RZltq2bVvo/vj4eLVu3VoLFiwodc0ojIAOwBWLv14W0nqmTqpMNuEc3mLHx0g5ubLyaCFF0QxTrAGoZNnZ2dq8NU9rFzVRclLJnaXT99hqdvJ6bd++XcnJyYH74+LiFBcXd8j6mzZtUu3atYMua9SokebNm6fs7GzFxsaW7xepwujiDsAVG1dvLnEd2zKy6NkOj7GrxUpZOYRzlMgJYbAkAAiH6omh3ySpcePGSklJCdzGjBkTdLv79u0LGs4lBVrg9+3bF5bfqaqgBR2AKxKSqpW4jlW7hkwWCR3eYVePk/ZmcXYbITEOJ3EAuMOWIzuEcTDy19mwYcMhLejBJCQkaOvWrUGX5V/LnpCQUNpyUQABHYArdm7eXexyO8YvH13b4SF5ifGyMjK5phihs22JdwwAF9iyFUofnvy1kpOTCwX0ojRs2FDLly9XVlbWISF+48aNql27Nt3by4lGAACuSN+xp9jlVs0UWp/gGXlJ1eQjnKO02IcBcEme44R8K402bdrItm3Nnz+/0P2ZmZlasmSJTjnllIr8NaokAjoAV+xL31/kMrtanEwmI2PDfY6kvMRq8u0p+v0KFIl8DsAl+V3cQ7mVxqWXXipjjJ599tlC97/++uvat2+f+vbtG7hvzZo1WrlyZUX8OlUKXdwBuMIfU/Tux0pOJKDDdY4xsqvHypdBOAcARBZbjvJKcQ16qFq1aqVBgwbpxRdfVO/evXXeeedpxYoVev7559WxY0ddccUVgXXPOeccrV+/Xs5BrfRvvfWW1q9fL0natm2bsrOz9fDDD0uSmjRpoquuuqpUNUUbAjoAV+z4e1fQ+53qCfIRzuEyx7Jkx8fIl5HldimIZIaLIgC4I8exlRNC9s5xSj/bxLPPPqumTZtq7Nix+uyzz1S7dm0NGTJEDz74oCyr5A7a48aN05w5cwrdd//990uSOnbsSEB3uwAAVVPWvkODjyPJVK8mZRHQ4R7H75Pjt+QL8h4FQmUzxRoAF9n/vYWyXmn5fD7ddtttuu2224pdb926dUHvnz17dhmeteogoANwRU6w6dNSk2QRzuEiO8YvGcmiFwfKyxgZWtABuCQvxC7uoayDykVAB+CKvLzC52xtx5Hlj5FymPcc7rDjYqTcPFl5tHyiApSh2ygAVJQ858AtlPXgLQR0AK5w7MLfCKZ2qizCOVxiV4uVMrNlcaCCCuI4DtPyAXBNOLu4I7wI6ABc8r8kZBvJJyPmJIIb7IQ4aV8W846iYtnszwC4x5ZRXginCW1OJXoOAR2AKwoeupraNWSy81yrBVVXXmK8rIxMDk9Q4Qxd3AG4yHZCO0/IuUTvIaADcMd/vxBsnyVfLgeyqHx5SdXk28Mc5wgTjnoBuCgvxBb0UNZB5SKgA3CF4zgyxsiqVUOGkdtRiRxJNuEc4eY4Ege+AFxSVQL6n3/+qfXr12vfvn2qU6eOjjvuOMXFxbldVrkQ0AG4xo6NkS+bcI7K4xjJrk44RyWwHcmK7ANfAJHLdoxsJ4Rr0ENYx2vWrVunV155Re+++67++usvOc7/eizFxsbqjDPO0I033qiLLrpIlhV5I8xEXsUAooZVI1mGXqCoJI5lZCfEyZdBOEf4OY4tOzdXTlG3vLwKudk5OQduNpcKVRq+txABsuUL+RZJhg4dqhNOOEFr167Vww8/rOXLlystLU3Z2dnavHmzPv/8c51++ukaOXKkjj/+eC1YsMDtkkuNFnQAlS43N1dO9XhZmbSeo3I4PktOrF++vVlul4IqwHZsGcsnY8LfMmV8Bw6uHcc5ENod50D3emNkfJVTAwDvcUJsQXcirAW9evXq+uOPP1SrVq1DltWtW1dnn322zj77bI0aNUrTpk3Thg0b1KZNGxcqLTsCOgBXWEmJMgR0VAInxifHsmTtz3a7FFQVtlPpwdgYI/l8ha4mdWz7f6Fdkny+iOzuCaD0ovUa9DFjxoS8bteuXcNYSfgQ0AFUus0bd9J6jkphx/mlPEcWAxGiMuXmul2BJMlYlmRZgcPvQCt7fnd4y5Lli6zurQBCk+dYynNKPiGXF8GXbOzfv1+O4yghIUGStH79ek2ZMkXHHHOMunTp4nJ1ZcdpVACV7s81W90uAVWAHR8r5eTJys1zuxRUNXnefM+Z/3Z7t2JiDtx8Pjn2gWvl7ZycA//lWnYgKtgysmWFcIusFvSCevbsqYkTJ0qSdu/erXbt2umpp55Sr1699Morr7hcXdkR0AFUur/Wbne7BEQ5OyFOysyWxVzUcEMEve2MZcny+w8Edr9fxhgGnwOiQH4X91BukWrx4sU644wzJEkffPCB6tWrp/Xr12vixIl6/vnnXa6u7OjiDqDSfTzxW7dLQBTLqx4va29mBB9yIJIdGCAucts/AteyF+j67tj2gW7xDD4HRIzQu7hH0BnFg+zbt09JSUmSpK+++kq9e/eWZVk69dRTtX79eperK7vI/QYBEJEGXPCUdqzc5HYZiFJ5idUI53CXR7u3l8fBreySaGUHPO5AF/fQbpHqiCOO0EcffaQNGzboyy+/VOfOnSVJW7duVXJyssvVlR0BHUClGXrpC1r/4+oI/iqAVzmS8pKqyZexn/cX3FUFxjw4+Fr2QLf4AteyA3CXLUt5IdzsCI6DI0eO1O23366mTZuqXbt2Ou200yQdaE0/8cQTXa6u7OjiDqBS9B3xunZ8u5LwhArnGMmuHi/fnv1ulwJIebYUwV3cy6LIKd4KdIuXZTHFG1CJchy/cpySZ2nIibB50Avq06ePTj/9dP3999864YQTAvefc845uvDCC12srHwI6ADC7pLH3tTqXXtknd1Eyct3KHbTHpkIvuYJ3uFYRna1OPkyMt0uBTjQ1ZtrsyUd6BZf8Fr8Q6Z4Y052IKzyHKO8EMJ3KOt4Wf369VW/fv1C97Vt29alaioGAR1AWF3z9NtavW6HZIzspBjtbldfvvSaSv51h2I275Ehp6OMHJ8lJy5Gvr2Ec3iFw+BpRWDwOaBy5XdhL3m9yD0Q27t3rx577DF9/fXX2rp16yHjYfzxxx8uVVY+BHQAYXPzyx9q6W+bJavwAVdecqx2ndZAvt3/DepbMuj6jlJx/D45fkvWviy3SwECnNxInrCo8tHKDoSP7ViyQxjF3Y7gHo033HCD5syZo6uuukoNGjSImhN8BHQAYXHXhE/0w8/rDwnnBeWlxmlXh4by78pS8rLt8m/by8EtSmTH+iXHkZWZ43YpQCEmL09iL1ZmB7eyBwK749DKDpRSVWhB/+KLL/TZZ5+pQ4cObpdSoQjoACrcw+9N1/TvVxUbzgvKrRGnnWc0Usz2/Ur6dYf8O/ZxiIug7LgYKTdXVl7kHlAgitlOyPs9lKzIwefyQ7tEKztQBFuhXV8eyZMk1qhRQzVr1nS7jArHHg1AhXr+02/1n5m/lOkgNad2Ne3seJh2dWis3BrVwlAdIpldLVbKziGcw5Ns22GAuEpgLEsmf052t6Z44yQMIoD93ynUQrlFqoceekgjR47Uvn373C6lQtGCDqDCvPn1fE34ZEG5D15y6lXTjnqNFfv3PiUt3yF/GtNnVXV2Qpy0LyuCDyMQ9Zw8ul67wI0p3uz6tStsW0C45DmW8kK4Bj2Udbzqqaee0po1a1SvXj01bdpUMTExhZYvXrzYpcrKh4AOoEJM+eEXPffeXMlXcQeo2Q0StKNBguI27lXiih3ypzNad1WUlxgvKyOTyx7gbbl5bleA/wrn4HOOY0u1UyugSiC8bBnZIXxzhrLOIY+xbT333HN67bXXtG7dOtWpU0eXXHKJHnzwQVWvXr3Ex48ZM0aLFy/WokWLtHbtWjVp0kTr1q0rdR29evUq9WMiAQEdQLmt/GuLHho/vULDeUFZjaorq1F1xW/IUOKKHfJlMHJ3VZGXWE1Wxn7COTzPMQwP51UVNcWbY9uyG9cLd7lAhQhnC/qwYcP0/PPP68ILL9Rtt92mFStW6Pnnn9dPP/2kGTNmlHgC7J577lHNmjV10kknaffu3aV+/nyjRo0q82O9jIAOoFyW//m3rnzknUq5Ji+zcaIyGyWo2p97VX3lDvn2ZYf9OeEOR5KdWE2+DC5vQGQwMTFycrPo5h4hStPK7ti27JTqUuP6EgPSIULkOD75HV8I65VuXJdff/1VL7zwgnr37q0PP/wwcH+zZs00dOhQvfvuu7riiiuK3caaNWvUvHlzSVLLli2VkZFRqhoOtmjRIq1YsUKSdNxxx+nEE08s1/bcxl4GQJn9vHZjpYXzAMvS/qZJ2t75cKW3ri+7WkzJj0FEcYxkJ8YTzhFRLGNJETxdUVVn/tuKfsjgc3l5so9tJjVpSDhHRLH/O81aSbfSDhL3zjvvyHEc3XrrrYXu79+/vxISEjRp0qQSt5Efzstr69atOvvss9WmTRsNHTpUQ4cO1cknn6xzzjlH27Ztq5DncAN7GgBl8vPajbp2zHvujWZrWdrfPFnbujTRnuPrHZh+CxHPsYzshHj5MhhvAJHHiY11uwRUkPzAbixLStvrdjlAqdmOFfKtNBYsWCDLstS2bdtC98fHx6t169ZasGBBRf4axRoyZIj27NmjX3/9VTt37tTOnTu1bNkypaena+jQoZVWR0WjizuAUtu5J+NAOA/TNeelYlnad0SK9jVPUvXVaUpYtUtWViVMs4MK5/gsObF++fYSzhGZjGXJse1CXacR2YwxsjZtlV0rxe1SgFLJk1FeCCNj5K+Tnp5e6P64uDjFxcUdsv6mTZtUu3btoMsaNWqkefPmKTs7W7GVcMJy2rRpmjFjho455pjAfccee6xeeuklde7cOezPHy58gwAolYx92frnHa95I5wXZFna+48a2ta1ifYeU1t2TMnXXcE7HL9Pjt8naz/jCiByWZYl+Ti0ijbGWNLf290uAyiV0ragN27cWCkpKYHbmDFjgm533759QcO5dKAVPX+dymDb9iFTq0lSTEyM7PzxJCIQLegAQpadna2Ot70ox3j4ANTnU8YxNZVxZIoSf0tTwh+7ZHKY/sjL7Fi/5DiysnLcLgUov7gYKZP3crSxtu2SXa8m16EjYuRJIbagH7BhwwYlJycH7i8qhCckJGjr1q1Bl2VmZgbWqQxnn322brnlFr3zzjtq2LChJGnjxo0aNmyYzjnnnEqpIRzYywAISXZ2ttrf8qKcSJlIyO9TxnE1tbVLU+07spYcP7s7L7LjYqS8PFmcREGUsIzvfyOBI2oYy5I2bHa7DCBkpW1BT05OLnQrKqA3bNhQ27dvV1bWoVPebty4UbVr166U7u2S9OKLLyo9PV1NmzZVixYt1KJFCzVr1kzp6el64YUXKqWGcKAFHUBIOgx7SXakhPOCYn3a06qW9hyVouQVuxW/brdMHgfPXmBXi5Uys2Ux8DWijBPjZz8Thay0vbLz8iQfl1DB+8I1D3qbNm301Vdfaf78+TrjjDMC92dmZmrJkiU688wzS11rWTVu3FiLFy/WjBkztHLlSknSMccco3PPPbfSaggHAjqAErUd8qwi/lgz1q/0E2prz9GpSvp1l+L/3C1jkwzdYifESfuy/p+9O4+Toy4TP/75VvXdPfdkJtckIQkQjoQQLgExIqCCgJBdF+UQxdXFVRAIrniggijuugsx4ok3rrjexw8P5IrIoVxBjnCFXOSYmWTOvruqvr8/OhkyZJL0zHR3VXU/b179ItNT3f10T3d1PfV9vs9XyrhETVKBgKyJXouUgu4+mD7F7UiE2C+NKmlgZbyVkeeddx5f+MIXWLFixagE/dZbbyWdTnPBBReMXLd27VoKhQILFiwY12OMh1KK0047jdNOO61ij1FtkqALIfbpdR/5MpZVO4msDgcYWjKF4QXNND7bT/iVQUnUq8xORDCSWT/WYwhREsMwcNAg7/KaooMmtEo3d+EPlRpBX7hwIR/60Ie45ZZbWLZsGWeccQZr1qxh5cqVLF26lPPPP39k21NOOYUNGzag9ejjrNtuu40NGzYA0NvbSz6f54YbbgBg9uzZXHTRRXt9/JUrV/KBD3yASCTCypUr9xmrX5daU/q1r5ioaUNDQzQ1NTE4ODiqEYQQYznxqpVkMrU9N9hIFWh8to/QK0Mo2R1WnJ2IYiYzbochRMXZtoWRlyUfa4V2HJzD5xWbxKUzEIu6HZLYh+uuP4cTTj3ctcd383h712Nf8cDZhBN7djh/rVyywIoTfzuuWG3bZsWKFXzrW99i/fr1tLe3c95553H99deTSCRGtpszZ86YCfob3/hGVq1aNeZ9L126lPvuu2+vj33AAQfw6KOP0tbWxgEHHLDX7ZRSvPzyyyU9H6+REXQhxJiWfvQWMmmrWNJXw5x4kIFjOjEWtBQT9a3DMqJeARpwJDkXdcRQsiZ6rdCOgzN/5qsd3G35jhDe52iFo/d/DFfKNq9lmibLly9n+fLl+9xu/fr1Y16/rwR8f9atWzfmv2uJJOhCiD2c8vGvMzycr/nkfHdOQ4iB46aiMu00PD9AZOMgyqrt6oFq0QqceESSc1FXlGGgTaN4dkr4ltYap6Nl9Ih5LAyWA7I6iPAwBwOnhE4vpWwjqksSdCHEKGd8+lv092fqKjnfnY4GGFrcztDhLSReGiL68gCGrGk8YdpQONEwZjLrdihCVF8oBLm821GISdCRIExtH32lacJQChrj7gQlRAlsrbBLGB0vZRsvueqqq0re9qabbqpgJJUjCboQYsQ513+XbT3Juk3ORwmYJBe0kDyoicjGFImX+jGHJMkcD20a6FAAMyWvm6hPhmHgSJm7b2ntoOd1jf3LoBxCC2+rZIm7m5544omStvPzKhqydxFCAPAvX/wBG7cMSHL+WoZBdk4D2TkNBLvTNLzQT6A3Jb2Z90MHTLRpYGRk9FDUNx0KoCy/r1NZf7Tj4Bw869V5568VDUMqC/FIdQMT+2Y5kM7s0ZSsHmlt4JTQoV2Ps4u72+699163Q6g4SdCFELznph/z0vodkpzvR6EzRl9nDHMwT8PzfYS2SEO5sTihAGiNkZOpAUKoQBBdyPp6NKfeaK1xpk+BcHjfGzpy4sUzdibmxMLQGJfPG2CjsEsYTihlG1FdkqALUef+/Wu/4B/PbwNDdtClsptCDBw7FZXdraFcQRrKATjhIFgWhnQ5FgIAQykkjfMXHY9Ae/P+N4yGi0m6TGFwz2sSc/EqR5dWvu63cYZly5aVvO0vf/nLCkZSOZKgC1HHln/nNzz85AZJzidIRwIMHdHO0GEtxF8aIrZuACNTv6PGTjQE2TyGz77shai4cAjy9btv8BOtQM+dWdrGAWkW5xpJzPfLKbHEvZRtvKSpqcntECpOEnQh6tRnfvxH7v37WknOyyFgklrQQuqgJqKb0sRe6iMwWF+N0ZxYGNI5WaxFiDEopWRNdB/QjoNz6AHju5E0i6suScxL5qBwSihfL2UbL/ne977ndggVJ3sVIerQl355L79b9awk5+VmGGRmJ8jMThDszpB4oY/g9hSqxkeU7UQEI5n12Ve8ENWjDAMdMP1XS1pHtNY4s6dCYJyHxtEwZHLF/4vKkcR83AqOiXLMkrYT3iIJuhB15uu/f5Db//SEJOcVVuiM0t85A3MoT8Pz/YQ2D9VkQzm7IYo5nHE7DCG8LxREZ3LSvMqDtNY4zQloapjYHVjSg6RiRhLziCTm4+RQ4jJrPju9vmTJEu6++25aWlo48sgj97lPffzxx6sYWflIgi5EHbnt3ke49dcPg+mvnbGf2Y0hBo7pRC1qI/H8AJENgxg10FBOA44k50KUzFAGjtayWoYXmQZ0TZ347aVZXPlJYj5pusQSd+2zBP3tb3874Z0rLJxzzjnuBlMhkqALUSf+tPp5br79fknOXaLDAYYXtTN8aAvxl4eIrfVvQzmtwIlLci7EeOlQECWjrZ6hHQcCJs7Bsyd3R9IsrnwkMS8bR5c4gl7CNl7ymc98Zsx/1xJJ0IWoA2u3becTX7tDknMvCJikDmohNb+JyCtp4i/2Exj0T6KrDYUTDWMm/ROzEF6hAia6YEmZu4u01qAolrRP7yjfqHdA5vFOiiTmZVerXdz3JplM4jijF7VsbGx0KZrJkQRdiBqXTOf5l8/8AG3Wxg64ZhgG2VkJsrMSBHszJJ7vJ9ib9HRDOW0a6FAAM1VfHeqFKBdDGTiSm7tCa42OhdEzOyBcgYZu0TBkshCNlP++a5llQzoriXkF1OoI+u7WrVvHhz/8Ye677z6y2VePTbTWKKWwbX9WLEmCLkQNy+fzLF1+C1rmxXlaYUqU/inRVxvKbRlG2c7+b1hFOmCiTQMjk3c7FCF8TYeDqJzldhj1R2v0vK7K3b9SxVFgURpJzCuuVpdZ292FF16I1prvfve7dHZ21kx1kiToQtSwE6/6qu+af9SzXQ3lyLXR8PwgkQ0Dnmgo54QCoDVGzp9z5oXwEgND1kR3QzVWLomEpFnc/khiXjX1MIL+5JNP8thjj3HwwQe7HUpZyR5EiBp13GUr8GlljwgHGF7URu8Zcxg+vAM7FnItFCcSBNv2xIkCIWqBMgyZr+yGaiTNwQDIFKCxWXaxkR4UE3P5DFTcrgS9lItfHXPMMWzatMntMMpORtCFqEEnXPFlCpaHJzOL0pgm6YOaSR/UTHhzivhL/QR2pKtWE+FEQ5DNY8hbSYjykjXRq04Hq3TIK/1eRpMRc9fUwwj6t7/9bS699FI2b97M4YcfTjAYHPX7RYsWuRTZ5EiCLkSNecPVt5DN2rLWbo3JzYiTmxHHHMjT8EI/oa2VnafuxMOQykmZlRAVIGuiV5+OVKkSKRqGbL5Y7l7PJDF3na0VqoQO7baPE/Te3l7Wrl3Le9/73pHrlFLSJE4I4R2nfPzrJJN5OeirYXZziIFji/PUEy8OEt0wiFHmhlN2IoKRzEr3AiEqKRwEmTpSPbEqdVdXCvKF+k3QJTH3jHoYQb/kkks48sgjuf3226VJnBDCe8749K3092ckOa8X4QDJw9tIHtpCdEOK2Np+AkOTn/toN0Qxh2WNcyEqzjDRWtZEr5pErHqPFQ1DvVVISGLuOfWQoG/YsIHf/va3zJ8/3+1QykqqF4WoAR/51q/Y1jNcXwcDosgwyBzQwI5TZ9H3hi7ynQ3oCbwPNGA3RCQ5F6JKDMNAylSqQ2sN4SqOaAcDkExX7/HcJM3fPKsemsS96U1v4sknn3Q7jLKTEXQhfO5fV/4fjz+zuTpLyAhPK7RH6W+PYqQKJF4YILJpCGXtv4RWK3DiMnIuRNWFQyDLF1aedqHTZa0vtSYj5p5XDyPoZ511FldeeSVPPfUUCxcu3KNJ3Nlnn+1SZJMjCboQPrb8O7+R5FzswYkHGTpyCkMLW4m/PETs5UGMdH7MbbWhcKIhzKQk50JUm2GYOE5O1kSvNDe+ImOR2mwWJ4m5b2it0CUk36Vs41WXXnopANdff/0ev5MmcUKIqvvCT+/i3r+vleRc7F3AJHVQC6mDWgi/kiK+dvQybdo00KEAZirnaphC1LWACY6sZVhRbpwAqbVmcZKY+46Dwinh7FQp23iV41RuNRs3ySlbIXzo1j89xM/v/ock56JkuZlx+pbOZMebZpOb2YgTCaIDJkZm7JF1IcaiFTiRIPmOOEMLWxlc0o6WOaeTEwoV50iLinHtPRoJuVNeX04yx9y3KjkH3XEcbr75ZhYsWEAkEqGrq4vly5eTSqVKuv2NN97IO97xDubOnYtSijlz5ow7hlomI+hC+MyvHn6Kr//iITAlORfjZzeHGTh2KmiNshwST/cQWzfsdljCJ/pO6GT7SY2jrut5fSMzf7OdyIYhH4/DuMdQCgeNdIyrHB0K7n+jSggFYTgNDVXsIF8uMmLue5Uscb/yyitZuXIl5557LsuXL2fNmjWsXLmSJ554grvuuqvYBHMfPvGJT9Da2sqSJUsYGBgY12P/5Cc/4Z3vfGdJ227atImNGzdy4oknjusx3CYj6EL4yINr1vG57/5ZknMxeUqhgybDi6fS/fb5DC5udzsi4QNmds/5fE7MZOO7Otn8zzPx8VRGd4VqpAzaqyJh9x7bb5VuMmJeMyo1gv7MM8/wla98hWXLlvHLX/6S97///dx0003cdNNN3HvvvfzkJz/Z732sXbuWHTt28Oc//5np06eP6/G//vWvc8ghh/Bf//VfrFmzZo/fDw4O8vvf/57zzz+fJUuWsGPHjnHdvxdIgu4hf/nLXzjrrLOYPn06Sil+/etf77HNmjVrOPvss2lqaiIej3PMMcewcePG6gcrqu7ZjVu57OZfSXIuykspMA2yc1vpfvuB9J00HVveYmIvzMze5/ul5kfJzmrc6+/FPhiGlLlXUjXXQH+taARSGfD6XFlJzGuO4xjYJVwcZ3zp4O23347WmiuuuGLU9e9///uJxWL86Ec/2u99zJ07d1yPubtVq1bxn//5n/z5z3/m8MMPp7GxkQMPPJCFCxcyc+ZM2trauOSSS5g1axZPP/20Lzu5S4m7h6RSKY444gguueQSli1btsfv165dy+tf/3re9773cd1119HY2MgzzzxDJBJxIVpRTU+u28x7b/w/Sc5FZZmKwpQE288+EDOdo+nuDQQdec+JV5m5fScZr5zdzvyvJVG2x5MRjzEMA0fJZ60StNYQd/E4yVAQjxbnolsWWA7YdrEx4K6TMoYBIROCweJJ02qSUvaapSmtBcJ4Tw0+8sgjGIbBscceO+r6SCTC4sWLeeSRR8Z5j+N39tlnc/bZZ7N9+3b++te/smHDBjKZDO3t7Rx55JEceeSR+y2z9zJJ0D3k9NNP5/TTT9/r7z/5yU9yxhln8F//9V8j182bN68aoQkXrXp6LVeu/I0k56J6TEX8uUHMvEWhtQEja2HmLbejEh5g5Pa9ZI0TNxla1ErTE9urFFENCQdlTfRK0Noba5IrBYHAvo+8HQcKFthO8aJ3JvEKMMzie6RcI9uSmNc8B4UaRxf3oaGhUdeHw2HC4T2nh2zZsoX29vYxfzdjxgwefPBB8vk8oSpM3Wlvb+ecc86p+ONUmwf2WKIUjuNwxx13cNBBB/GWt7yFjo4OjjvuuDHL4HeXy+UYGhoadRH+8csHn+QqSc5FlcVeHCD8Yg/Kcgj0DKKG01jxEFZc5snWO2Xtf6xl2ylNOBGXmnL5mGGYaK+XQYvKMoxiY7loGBLRYnO5xjg0xItVAAGzmFjn8sXkejhdLEsfSkEyXVx3fX/vISllrxu7msSVcgHo6uqiqalp5HLjjTeOeb/pdHrM5BwYqepNp9OVeVJ1QhJ0n+jp6SGZTPLFL36Rt771rdx5552ce+65LFu2jFWrVu31djfeeOOoD1tXV1cVoxaT8eCaddzw/bvRkpyLKgr2pIk/vnnUOXelNeaOYYwdw9hhk0JT1LX4hLushhIK7wIGvW+QpoMToYOSLJWd35q07U/AhHCoOPK9K4FvjBfn2UdCxZH6ggXZXHHu++5JvCTmdWW8TeI2bdrE4ODgyOXjH//4mPcbi8XI5XJj/i6bzY5sIyZOEnSfcHaeEX3729/OlVdeyeLFi7nmmms488wz+cY3vrHX23384x8f9WHbtGlTtUIWk9AzkOTDK6QhnKgulcrT9NdNe50/rABjME2gewDbVBRaYtjS2Kqu5NpLGxkfWJLAapYTOeOlgkFpFldGhYhi2zmzSTUW0Pm82+FUh1IQDBQ718ejo5N4Sczryq4ZEqVcABobG0dd9jZKPn36dLZv3z5mkr5582ba29urUt5eyyRB94n29nYCgQCHHnroqOsPOeSQfXZxD4fDe3zghPe97ZO31t5Zf+Fttk3rqk0Y2dIOYo1UlsDWfhSaQnMMW4756kKurfTS9c1vmzLu5kP1zlAG42/ZJF7LUZqe06bxymULyR7YzI4Tm9n09ha6jzDIhXLFZF1OhIgaN94S91Idc8wxOI7D3//+91HXZ7NZVq9ezdFHH13Op1GXJEH3iVAoxDHHHMPzzz8/6voXXniB2bNnuxSVKLd8Ps/RH7wJaYAsqq3lgW2YA+OfM6ZyBQLb+lHZAlZjBDssvUdrWakj6ADZrjC5LjkpPG4hmb8/Ebm4wY4TpjBwRDMbrlpIavGUPbeZHqX7lFY2vb2FzSeESLZa2FYO+dIVtahSCfp5552HUooVK1aMuv7WW28lnU5zwQUXjFy3du1annvuuXI8nX3K5/M8//zzWFZtNLSVIykPSSaTvPTSSyM/r1u3jtWrV9Pa2sqsWbP46Ec/ynnnnccb3vAGTj75ZP74xz/yu9/9jvvuu8+9oEXZ5PN5jv/ILegSOm4KUU6Jf2wn+ErfpO5D2Q5mzyBaKazWBChFIDn2HDXhTxrItY7vsGHzWW3M/aYsuzYuhol2CigvdB73MFvB4LHtJBe1YjWHYOd3p5EslNS13W4O0XdcsQxXF2wa1mZIbMgTzBooOUkiaoCjFaqE5NsZZ4K+cOFCPvShD3HLLbewbNkyzjjjDNasWcPKlStZunQp559//si2p5xyChs2bNhj6s5tt93Ghg0bAOjt7SWfz3PDDTcAMHv2bC666KKSYkmn01x22WX84Ac/AIoDl3PnzuWyyy5jxowZXHPNNeN6bl4hCbqHPProo5x88skjP1911VUAXHzxxXz/+9/n3HPP5Rvf+AY33ngjl19+OQcffDC/+MUveP3rX+9WyKJMkuk8S6+6BS3r4Ioqi2wcJvrMtrLd366Gchqwm2I4kRDmQBpD3tv+FzAhNL6k0WoMMHxYM43/mNwJoHpiGAaOJOdjSh4QZ/CETvKdUbRpjCwhtfvexYkHxn2aWwVNkgsSJBcUfw7syNH4QoZYr4MRCFV/bXIhymD3+eX72268VqxYwZw5c/jWt77FHXfcQXt7O5dddhnXX399SeuPf+c739mjyfW1114LwNKlS0tO0D/+8Y/z5JNPct999/HWt7515PpTTz2Vz372s75N0JWWbiR1ZWhoiKamJgYHB2U+ukfIyLlwi9mfo/WutajCvte2niwnFsZpimH0pTDlQNe3rMYIa/99AiuBFBzmf/MVTKmoKJmjbVTW32ui24am0BxCWQ7K0ihHo+yd/3cArVEadqXXaue+wQpqctMT5KZFybeFsZvCFNrCOJFASWs6A6jhHLph7AZX42UMF2h+OkW810FJsu4b111/Diecerhrj+/m8faux55/28cxY5H9bm+ns7x00Y2+zA1mz57N//3f//G6172OhoYGnnzySebOnctLL73EkiVLfLu8tIygC+GyE66Q5Fy4IFeg5S8bKp6cAxjpHEY6hw4FKLQkMIZzmFLy7Dv59gkmPEGDl983gwO+v4XAYLa8QdUoQ5k4Ts6VMnetd302X/1e2pU8F8d0NNpQOEGFUSgm22q3pNXBoe/1nQwfP218j2vZKK2LHcjHMK5vyVD5ulY6DUH6jm+mDwj055l+fxqCUgIvvE9TWstJP4/U9vb20tHRscf1qVRq1H7JbyRBF8Il+XyeE6/66rjn/ggxabZN66rNGKnqjmiqvEVg2wDaNLDaGlA5CzNXGw1d6kFm5v5HYvbGiZqsfd8M5v5wK8Ht429GWI90KICyqnciy9EOA8e0Mbh0xug53I4DORsjZ2MngqjXLNOlLZvoy0PEXxzACZr0nzITzPGfWDCyFjpRnlFvXaHzGlZLiP55OVr2vniOEJ5RagO48TaJ85Kjjz6aO+64g8suuwx49WTht7/9bY4//ng3Q5sUSdCFcEE+n+eEK26R5Fy4ounRXgLbh117/FEN5VoSYBoEhmVk1euG5k1yXfOQwcuXTGPOj7oJb0mWJ6gapgIBdCFX8VEgrR2GD21i+1tn7ZF8A8VkPWrgRINjjmKrgEn2oBayB7VMPIhMAScRKl8tWQVfs+HDGmha24cRLM/JBCEqpg6G0L/whS9w+umn8+yzz2JZFl/+8pd59tlnefDBB/eY4+4n0oWkTNauXcunPvUp3vWud9HT0wPAH/7wB5555hmXIxNeI8m5cFP8+X5Ca3vdDgPY2VCubxizdxA7ZFJojuFIWxRP0qZBfkoZyoYNg/UXdpJc0ILVGMGJBtEBE9kd7qnSa6JrrUnOjrHu8sPYceYBYyfn1RI2S55fXgptVPYN1XNcDBzZVwmPK3WJNR/vgF//+tezevVqLMti4cKF3HnnnXR0dPDQQw9x1FFHuR3ehMkIehmsWrWK008/nRNPPJG//OUvfP7zn6ejo4Mnn3yS73znO/z85z93O0ThEZKcCzcFt6aIPbHFkx0PjKE0xlAaJxamIA3lPKfQFi1p6aqSGAabz2kffZ3jYKYcwn0WoUGbwIBFpDdPZFsWI5VD1WkypMMhVL4y00CsmEHvv8x3fX9gJPM4iVB577TCTyrfGSEb6SOSk6Zxwrsq2cXdS+bNm8ett97qdhhlJQl6GVxzzTXccMMNXHXVVTQ0NIxc/6Y3vYlbbrnFxciEl0hyLtxkDOdpfnATyvF2c7bRDeUaMIaz0lDOA/qObqrsAxgGdoNBuiHAHjPULYeGl7I0vJghuiWDOZSrm3XVlTLQWlekzF3Z7h+Va0cX57WX+46rkDT3nNKKylnENuWIbssTGnQwLRMVDEjSLjyhHuagP/744wSDQRYuXAjAb37zG773ve9x6KGH8tnPfpZQqMwn/6pEEvQyeOqpp/jxj3+8x/UdHR1s377dhYiE10hyLlxVsGhdtRGV88+yTcWGcv0jDeUo2AQy/om/ljihAIOHT3L++WQEDIYXxBheENsZkEP0lTxNz2WIbsoQHMhWZTWCanO0A9ksSlVoNqIHznGY6TxOmRrDjaKoyrxaHQ6Qmh8gNT8+cp05kKf1iRTRYWOvHemFqIpSy9d9fGz6b//2b1xzzTUsXLiQl19+mfPOO49ly5bxs5/9jHQ6zYoVK9wOcUJkz1EGzc3NbN26lQMOOGDU9U888QQzZsxwKSrhJSdeKd3ahXtaHtiKMZRxO4wJebWhHMWGcoZJICkN5aopMztRvvL2cjAMMrMiZGZFgGJjslBvgcZn0yTWpwn251DZguul25PhaA3pbEWXWVMu17UWR8/L2BjOI+zmEL0nh9C2TdMzKRrXWxiyfvqeHMdb+5UaVA8l7i+88AKLFy8G4Gc/+xlLly7lxz/+MQ888ADvfOc7JUGvZ+985zv52Mc+xs9+9jOUUjiOwwMPPMDVV1/Nu9/9brfDEy479rIV1Ek1pvCghid6CW4ZcDuMSVMazL5i52+7MYaOhTH6Uxhy0FtRGuh5fbPbYexXfkqQ7Uub6D+6ETuuMNI2jS9mSLycJdydxRz2T1m8o21IV2ENdJcPyo1UAd1QofJTXTwBoCrcLG5flGkytKiRoUUQ6s7S+mSaUD4ApovN+NyQyxM2FF1drRx1/HxOOO0w5i6YTiQSYuPL3fRvHyaXLfDo/c+z+u/r2PRKPyNdF3a9RxXFZF4qEsanDrq4a61xdk7du+uuuzjzzDMB6Orq8nUVs7zTy+ALX/gCH/rQh+jq6sK2bQ499FBs2+b888/nU5/6lNvhCRe97iMrsCwf7/mEr0XXDRF5bpvbYZSdMZSGoTRONEyhWRrKVZLTECHfGXQ7jNLkNXas+D5wYiYDRyQYOCJR/J3jENlqEdmQITc9QvPqfhqfc2+pwb1xbBty+con5xRPerlFOxrdUIG55zspFCqbQ8e8sRRavjPCtjdH0HmL1tUpElsdlE/nxpbEdojicMmHT+Gci07a62az5nYya24nAMe+4ZD93u09v3ucFTf8lowywcWTL36htUI7tT0H/eijj+aGG27g1FNPZdWqVXz9618HYN26dXR2droc3cRJgl4GoVCIW2+9lWuvvZann36aZDLJkUceyYEHHuh2aMJFJ161knxeknPhjsCOLIlHXnH1ILzSjEwOI5NDBwNYbQkCA/4s4/eygYWNbodQslBak2/ey4GmYZCdEcIOAdEw20+dRu9pUzFTFjNu30Aw4/7oumMVIG9VfN1zAAeHgaPb979hhVRs7vlulOO9gUEVCtB/bBP9QHR9mtans5iGS+XvBatY22wYUK4l9hyHuNJc95ULOOLY+eW5z9286awlvOmsJTz21xf432/ezZZX+hkcymAZpoyuj6EemsStWLGCCy64gF//+td88pOfZP784vvu5z//OSeccILL0U2cvJvLaNasWcyaNcvtMIQHfOz7vyOTtmTOmXBHtkDz/RtRVu01zhqLKlgY/SlspTBrbkare+yGMNtf37D/DT2iEC/hb7/bPllphRMLsvFf55F4dojOu7srGN3eacdBFwrFpeQq/J3hKE3/cVMYOnGqq/N/nWjlDz910Nul5Jk5MTbPiRHYkaP9sRShfBDM6vxNGg3Nl277AHMXTAfghWde4b47VhMKmqz68zNs3jY40mdP7yot39t707ZRBYtYOMDlnzyLN521pOLxH/X6gzjq9QeNuu6PP/sbf/r1Y/RsGyIYNJlzoH9HT8umDkrcFy1axFNPPbXH9V/60pcwfTydRBL0CbrqqqtK3vamm26qYCTCa55ct5k/P/gimJIoCBfYNm33vYKRzrkdSVWpXAF7ajOmjKKXhTYUG98xzTdNnAJDDlbjxGJVWpE6pImXD0ow9debiW2tXhNCx3Egl0NV+MSSFYC+N04ldWRHRR+nVNo0Kn4qTVkO2hsV7vtktYXZ9uYwKm3R/vchoqlQRcu3Q/k8v3j0+lHXHXTYTA46bCYA77ny9D1u8/JzW/jOTX/g5Ze6KeRtGhqjHHzIdN709iNZcsKBBALupxNvfcdxvPUdx7kdhseonZdStqstkUjE7RAmxf1PlE898cQTo35+/PHHsSyLgw8+GCh2FTRNk6OOOsqN8IRL8vk8l3zxJ1U7Cy7EazU/3D3STK3emNuHscMhWTe9DPqPayff4ZO551ByQqONfRyKmiZb/6mLcE+Wqf+3kUClR7O1hkzlOrVrrbGiBjvePIPMwa0VeYyJ0HkbQpX9jtRo7Gjl5rhXgo4F6H1jK9F1KaY8ZVWmZDuX5zu/uWLcN5u7YDqf/9b7yh+PqKw6GEG3bZubb76Zn/70p2zcuJF8Pj/q9319fS5FNjmSoE/QvffeO/Lvm266iYaGBn7wgx/Q0lJc8qW/v5/3vve9nHTS3ptjiNrzhqu/ViwHE8IFiWd2ENqww+0wXKMsG6c1BEOyDNtkFNpi9C5tdjuM0hU0Vinl7bDf9YQUinxHlA2XHUTrqh5anhqcdHiW1nsk+452KraMmtaaQmOA3jO6yM/yXg8BI2+hQ5Ud2jaG8+gGHwyfjyFzQJzNLXmmr0qiyvg6Ra0CP/zzR2lu9c+0FTFJdZCgX3fddXz7299m+fLlfOpTn+KTn/wk69ev59e//jWf/vSn3Q5vwpTWfl79zhtmzJjBnXfeyWGHHTbq+qeffpo3v/nNbNmyxaXI9jQ0NERTUxODg4M0Nnrvi9vPPvCVn/LoM6/IvHPhitArSZr+ur44j7WOaUPhNMUJZApuh+JLOmDy8vtnYTX55/x9sN+h0FJaomv25zGCpSU9Go2RtphZQhM5S2uShzWRnpug0BrCjpnogCp+H2gw0hZTf7eZaG8ex7EhU/5l1LTWZDvD9J4+C7sjVtb7LieVLaAjlavO0NpBKf+fKNeWzcw/DmKak0/SjWyOO/7+GU+UotcLN4+3dz1211evw4juv9TbyWTZ9KHP+DI3mDdvHitXruRtb3sbDQ0NrF69euS6hx9+mB//+Mduhzgh8kktg6GhIXp7e/e4vre3l+Fh7y3jIsovmc7z6FOvyLxz4QpjKEfTw5vqPjkHiq+BLL8zYb0nd/gqOQdKHz2HcZ1AVSj0ziZygaECoe4sjc8MEt9U7HOQ7gzTf0I7uc4IOmigXtMJWcHIyJSOBdly3mwCPRm6vv9CWZNzrR2S8xvY8ZYudNz7S3fpUGUbN5nJAo5PR893pwImr7ylia4/DJZ8UmlMBYvPrThfkvM6pPV+i4ZGtvOrbdu2sXDhQgASiQSDg8WqpzPPPJNrr73WzdAmRT6tZXDuuefy3ve+l//5n//h2GOPBeBvf/sbH/3oR1m2bJnL0YlKy+fzLL3yKzLvXLijYNF630ZU3nI7Es8wdgxjtTcRSEqp+3jkZjTQf1TC7TDGxUxq7ETpSfdEVhNSWmE3hMg0hMjMb0Sj2dXieldzt1KWM1Qo7I4Y669eRPzJ7TT9vZfQ4MSXVXOUw+CRbfQvnY4q1zJZVbDPPgCTvW80djzkq7nn+6KCJq+c2cyU+weJJoPjP/mYzfPf33h3RZY8Ez5QByXuM2fOZOvWrcyaNYt58+Zx5513smTJEh555BHCYf+eqJMEvQy+8Y1vcPXVV3P++edTKBTLKgOBAO973/v40pe+5HJ0otJOknnnwkWtf9mCIYnoKApQ2Ty21pgy5aQkTijAxn+e4nYY41ZKYjxKGaorFGpyB7SGQerIDlJHdqAtm4YnttP4xHaCgwWUVvtM2LV2yLWGGDy2g/ThrWBUvht6+VUuYiNtoWM+am5YCsOgd2kLoa1ZOh5JlzyarrI5vvHjD44spSbqkFalnZX08Tro5557LnfffTfHHXccl112GRdeeCHf+c532LhxI1deeaXb4U2YzEEvo1Qqxdq1a4HinIh4PO5yRHuSOejl9c4v/pAX1m+XeefCFY2P9BB50Z21m/3A7mgiIA3j9ksDW8+ZwfAC785bHpO1czrDOM6PqqRFAO8mcCqVJ7p2iKa/9xDuK6CUQmuHfEuIwaPbSR3R7pul7/ZGoyu2rJzKFdBh7/59J81xmLJqkGh2L1MZtMbM5ensaODLP/6gNIRzkSfmoK+4vvQ56Fd8uiZyg4ceeoiHHnqIAw88kLPOOsvtcCZMRtDLKB6Ps2jRIrfDEFXyq4ef4oV122W+q3BF9KVBwpKc75PZM0hhWgvB/rTboXhaZn6z/5JzIDisKbSMd//r7f21jodIL2onvagdnSsQe3mIzEEtMoWqRE7I9PhfeJIMg96lTUy7c4Dgaxd5dxzeePxcPnnzhe7EJrynDkbQX+v444/n+OOPdzuMSZMEvQxOPvnkfZak3XPPPVWMRlRDPp/nc9/7syTnwhXB3jSJx16p7QPRMjG7B7BaG2U++l7YsRCb3t7mdhgTYscm8AkwgH03ZPcMFQ6SOcSffxvXGJOcfuAHhsHWNzcz844BjMCrSfriBVMlORej1cEcdIAXX3yRe++9l56eHhxn9A7er0utSYJeBosXLx71c6FQYPXq1Tz99NNcfPHF7gQlKur1V31VknPhCpXK03T/JpTtkyzDZcrRGMNp7HAQM2+7HY6n2PEQ6989A4L+G501UhpnAgm6lulI7spYEK1cQzulFSqV90U3+0kxDF55cyNdfxxGhYrP9R2XnORyUMJz6iBBv/XWW/ngBz9Ie3s7U6dOHTVgqpSSBL2e3XzzzWNe/9nPfpZkMlnlaESlfez7v8OytMw7F9Vn27SuegUjm3c7El/ZNS/V0RpDPrcAFNpirLtoGjriv+QcwLDBmcif0gDkPI1rFJpKTzNw4kFUOg+xGk/SwwE2vynBzHtSEAqy6vf/4Ng3HOJ2VMJL6iBBv+GGG/j85z/Pxz72MbdDKSt/fjP7xIUXXsh3v/tdt8MQZbRlRz9/fvBFSc6FK1oe2IY5kHI7DF8yhtIMHtOB9tFyVJWSmdPIy+/zb3KOrbHGsbTaKLLvdpUTrfy40K7168kUKv5YbnMagmw9MQr5Aqeec5Tb4Qiv2TUHvZSLT/X39/OOd7zD7TDKzqffzv7w0EMPEYnsv3ui8I+zr/0emP7dkQn/Sjy1neArfW6H4Vs6FKDn1GZe+uBssjMb/DxgMGEaGFrcxsZ3dvq6E3hwSE/86EXOz7hGJfMV696+x2Oh0NEAOmdV5fHcVGgPs+ktcY58nax1LkZTuvTLeDmOw80338yCBQuIRCJ0dXWxfPlyUqnSBhFuvPFG3vGOdzB37lyUUsyZM2f8QQDveMc7uPPOOyd0Wy+TEvcyWLZs2aiftdZs3bqVRx99lGuvvdalqES5ves/f4jj4PUmwKIGRTYOE316m9th+JrdGAXAiZtsuHAqDWsamfqnHoxs7Y+yQXHu9falnfS9zv/LLtnRSeyE5QSra3SkumdHFAodNnEsByPg3xNSpXAiAa649eeseP8/ux2K8JIKlrhfeeWVrFy5knPPPZfly5ezZs0aVq5cyRNPPMFdd92FsZ+TwJ/4xCdobW1lyZIlDAwMjOuxV65cOfLv+fPnc+211/Lwww+zcOFCgsHRyyxefvnl47pvr5AEvQwaGxtHNSUwDIODDz6Y66+/nje/+c0uRibK5U+rn+f5l2VJNVF9xkCOhr9tQul6HPMtn9y00cuIDR8SY3j+LGb8vo/4cwM1/fo6QZNtb5vqy6XUXstIa5zJJOhUdh1uMTZdsCFoVP1VVygM20bXeIKuUPy+eyNrbvgaf/rUv7sdjqhxzzzzDF/5yldYtmwZv/jFL0auP+CAA7j88sv5yU9+wvnnn7/P+1i7di1z584F4PDDDx9Xz67X9v5KJBKsWrWKVatWjbpeKSUJej37/ve/73YIooLy+Tyf+Pr/83VJqPCpXIHWVRtRBelqNVlDh4yRnAYNNr+9ncjRjcz4TTeBodpaik0Dua5GNp3bjhOrjdpuszCx7u3CXYZTPC3iBidsolI5iIf3v7GPKa1YR5bFn/hvVn/harfDER6gKK18fbyfzNtvvx2tNVdcccWo69///vdzzTXX8KMf/Wi/Cfqu5Hwi1q1bN+Hb+oVkHGUwd+5cduzYscf1AwMDk3oDCm845ePfQktyLqrNtmn9y2aMVG0ljW7QpsHwwXvvB5KdEWLtpTPoO34K2qyNz7oTCrDtzOlsuKCzZpJzHE0hURt/n7qSKeCE3XsPKhQ6HkQ7tVsls4tCkY4aHPbJL7kdivACR5V+GYdHHnkEwzA49thjR10fiURYvHgxjzzySDmfxV4NDQ3x5z//mTvuuIPe3t6qPGa1yDddGaxfvx7b3nOEK5fLsXnzZhciEuXypV/eSyopS1qJ6mt6tJdA77DbYdQEpyEC5n4SBMOgd2kzL//bbHJTE9UJrAK0UqTnN7P232cxdHjc7XDKKjiopcmbHwUN16cUKAyMOujqDsUk3YoEOPX6r7odinCbHseFYsK7+yWXy415t1u2bKG9vZ1weM+qlBkzZrB9+3by+coeO69evZoFCxbwlre8hbPOOov58+fzpz/9qaKPWU1S4j4Jv/3tb0f+/ac//YmmpqaRn23b5u67755wV0Lhvr7hJLf/8QlpKiSqLv78AKG1tXU22E2FKaXPvbYaA6x/zzSa/pGi4+4eDB91gS60Rtl8Vge5abW5/rMTkX2x76Ry6HjIEzP+nXjQE3FUS28243YIwmWldmjftU1XV9eo6z/zmc/w2c9+do/t0+n0mMk5MLJ6VTqdJhSq3HfRxz72MQ444AB+8YtfEIlE+NznPseHP/xhXnzxxYo9ZjVJgj4J55xzDlBsQnDxxReP+l0wGGTOnDn8z//8jwuRiXJ4yzW3SnIuqi64NUVs9ea6OpCstOS88TdHG1wUZ3DBbLp+t4PoSwMTWoamWpxwgO1vmEL/Uf4d+d8fldaT694u3BENuj56/ipNPS3DMqeh0e0QhNvG2cV906ZNNDa++r7ZWxIei8Xo6ekZ83fZbHZkm0p67LHHuPPOO1myZAkA3/3ud2ltbWVoaGjUc/ArSdAnwXEcoNi18JFHHqG9vd3liES5nP9fP8S2Naj6+TIX7jOSeZof3ISyHbdDqRlaKfoXTfBAIWSw6Z+mEN3YwIzf9WIMZz11eK9Ng+TBTWx5ayuEanvGWqCgKUhzOF9RyRw64Z3GbMqhriZ2JvP1UdIv9mGcCXpjY2NJye306dN59tlnyeVyeyTxmzdvpr29vaKj5wB9fX3MnDlz5Ofm5mbi8Tg7duyQBF0U1UM3wXry3CvdPPfSdhk9F9VVsGi9byMqJwdV5aTjYXRscl91mVkRXvpQF0bapuGlLIl1GcLdWQLD+ap22NemgdUUJjMzytCCOKk5ofpYXUKaw/mOdjQ64Y3S9hGOrqsEfUdeGozWu/GWuJfqmGOO4c477+Tvf/87J5100sj12WyW1atX84Y3vGGckU7Ms88+y7Zt20Z+1lqzZs0ahodf7d+zaNGiqsRSbpKgT9DKlSv5wAc+QCQSYeXKlfvc1q9r8NWrC274X0nORdW1PLAVY0jmDJab1RIt2305MbNY+r7o1eZrwR0FGl/IEN+YJbQ9i5HKo8rULVoHzGJC3hVl8JAY6a46SchfIzioKbTIPtlPjGwBHfNWLwRla3QdHfVmvPXyCzdoVbyUst04nHfeeXzhC19gxYoVoxL0W2+9lXQ6zQUXXDBy3dq1aykUCixYsGBcj1GKU045Ba1Hf9+eeeaZKKXQWqOUGrOJtx/U0a6qvG6++WYuuOACIpEIN9988163U0pJgu4jp37862gpaxdV1vBEL8EtA26HUZMysys7D67QFmTH8UF2HL+zpM5xiG3KE92SR9mAo1GORjmM/B8HlOOAZuR6dv1eQ6ExwMChcbLTA3WZkL+WXe7mcIrSyj7FhOi8jY55sCGbXWd/dMPg//3tKc48bqHbkQi3jLPEvVQLFy7kQx/6ELfccgvLli3jjDPOYM2aNaxcuZKlS5eOWgP9lFNOYcOGDXsk0rfddhsbNmwAoLe3l3w+zw033ADA7Nmzueiii/YZQ61XL0uCPkG7vzFq/U1SL77++wfp68uA4bnDClHDouuGiTy3bf8bignpO6LKjdMMg/TsCOnZe193XZROpTWONIfzFeXVZmxOffX20Nrh1CMOdDsM4aJKlbgDrFixgjlz5vCtb32LO+64g/b2di677DKuv/56jBJOLH/nO99h1apVo6679tprAVi6dOl+E/TZs2ePP2gfkVPzZXD99deTTqf3uD6TyXD99de7EJEYr2Q6z62/fliSc1FVgR1ZEo9s8nSHcD9zIkEKU4JuhyEmIVDQ5c/15PNWMSqZQ4c8ulh9nf3dT5kyfWTJK1GnnF1VWvu+MIFzV6Zpsnz5cp5//nlyuRybN2/mpptuIpEYfVJ8/fr1e4yeA9x3331orce83HfffRN7vjVEEvQyuO6660gmk3tcn06nue6661yISIzXyf/xVZl3LqorW6D5/o0oy5/zo/zAbirf/HPhgko1h5NdfUWoVB4nEfLQsmqj6Tr6jtdo3rK4/HN+hc/ocVyEp0iCXga7GhG81pNPPklra6sLEYnx+ORtd2BbsncSVWTbtN33CkY653YkNS03rbLzz0VlBYc0VGIwVnb35Ze1cBJeWvN8T0YdVbgrFJ/4f3eNrEkt6pQk6L4lc9AnoaWlBaUUSikOOuigUUm6bdskk0kuvfRSFyMU+/Pkus384f7nZfRcVFXz33ow+/asuhHlNXh4fP8bCc+ywxXaL0uTuLJSyRxOQwg1zk7Q1WYnAh4+fVB+VsTkridflCZxdaySc9BFZUmCPgkrVqxAa80ll1zCddddR1NT08jvQqEQc+bM4fjjj3cxQrE/l/zX/0lyLqoq8WwfwfXb3Q6j5umASeoAWWfIr4xKNoeTg9Gy0I7GyFvFsnaPJ+cACgOVzKMTtb9f0GiWtnRKci6ET0mCPgkXX3wxAAcccAAnnHACwaA0I/KTf/niD9AebTYralNoc4roP7bIW64KnIYImB5tViX2y7DAkQ+Kd6VyEA+hIx5cTm0fdKw+DnuVo7n1wxfsf0NR2yq0zJqXdHd3c/XVV3P33XfT09OzR0M6WQe9ji1dunTk39lslnw+P+r3jY2N1Q5J7Mc9/3iRl9btkK7tomqMoRxND20srnktKi7fKfPP/UqlNVaD7Js9JVPAsDXaVOiQgY57txncvmhDoTJ5iNbuKLpGc+nhi9wOQ3hAPZS4v+c972Hjxo1ce+21TJs2bcyeYH4kCXoZpNNp/uM//oOf/vSn7NixY4/f+/XsTS376Fd/CyWs0yhEWRQsWldtROUttyOpG8MHyfxzvzIdsGrjGMt3VDKHkwiNrizToKLBUSsx+fXPo1AQqM3vfo3mQCPGHZ+U3kdiNz5Ovkvx17/+lfvvv5/Fixe7HUpZ1eZeqso++tGPcs899/D1r3+dcDjMt7/9ba677jqmT5/OD3/4Q7fDE6/xhuW3oCU5F1XU+pctGMPSTbdatKEYOFyWWPMjM6mx4n5N//xLOxqVLYwsk6b0bhffpuNj00ETna+9gRMzZ0tyLkargy7uXV1dY66z7neSpZTB7373O772ta/xT//0TwQCAU466SQ+9alP8YUvfIH//d//dTs8sZtzrv8uyVR+/xsKUSaNj/YQ6B50O4y6ouMRCMn8c18y8O/wrF9lLFB653zy2n/xFQrDqr0113SNlPaK8tlV4l7Kxa9WrFjBNddcw/r1690OpaykxL0M+vr6mDt3LlCcb97X1wfA61//ej74wQ+6GZrYzYe//gs2bh6QeeeiaqIvDRF+odvtMOpOoU1Gz/0oMORgNVRj3EC6g+6ihnM4jf7owl5OTiwAjkbV0PGAE5IxNzGacoqXUrbzq/POO490Os28efOIxWJ7NOzelZP5jSToZTB37lzWrVvHrFmzWLBgAT/96U859thj+d3vfjdq6TXhnlv/9BAPrt4gybmommBvmsRjmyQNcEF6jsw/9yMnpCRvriKVyvti/fJKUChUKoduCLsdSllls1kikYjbYQivqIMu7itWrHA7hIqQBL0M3vve9/Lkk0+ydOlSrrnmGs466yxuueUWCoUCN910k9vh1b0H16zj6794SNY7F1WjMgWa7t+Esn18WtqnNNC3WDq4+01wwKHQLCOA1aLSBZx4fZS0742O+39pXK0dzIKDoxQHhhOSnIvR6iBB37Xkda2RBL0MrrzyypF/n3rqqTz33HM89thjtLe386Mf/cjFyMSGnj4+vOJXkpyL6rFtWu/dhJGVXgdu0NEQdrP/D7zriiON4apJZQvomL/WL68EbSrfzr3VaFrzioc/t9ztUISH1eoya0NDQyNLWA8NDe1zW78udS0JegXMnj2b2bNn8+STT/Kd73yHb33rW26HVJeS6TzLrv2eLKcmqqrlwW2YAym3w6hbdrPMP/eb4KCm0FLF/XQdT0FXuQI6IiewAF+PGgI8/Lkr97+RqG81OoLe0tLC1q1b6ejooLm5ecy1z7XWKKV8u9S1JOiiZr3xallOTVRX4qkdBDf5syFJrcjMlPJ2X7E1VkOdZsvVlrfQYUnORyh8l5hoNMp2+PgJJ7gdivCDGk3Q77nnHlpbWwG49957XY6mMiRBFzXp2h/9AcehbkdJRPVFNiaJPr3V7TDq3sCihNshiHEIDlV59LxeZS10xJSvxN35LCnRSvPHSy5k7vQOt0MRPlGrJe5Lly4d89+1RBJ0UZN+f/+zUtouqsYYyNHwt00o7bNvuRqjQwGyXbXVlbmmFTSFRhf203VY4q4sBznk8y+NZqYVkuRcjE+NjqDXA9lbT8KyZcv2+fuBgYHqBCJGue3eR9BjzEcRolJaHtqCKlhuh1H37EaZf+4nwZSm0Cz76mrQMTnc24PW4INjBY0mkXG45wsfdjsU4TO1OoJeD2SPPQn7W+O8qamJd7/73VWKRuyy4qf3++JLV9SG0CtJzP6k22EIINcpCbpvuDV6Tt0NnqMdDUZtLqim0cU/qKN3VgkASqENBQbs+muP9eyNtIWOh6oW60Ropbn0kIVc9U+nuR2K8CMZQfctSdAn4Xvf+57bIYjX2NDTh3bY+cUsROU1PNXrdghip+EFcbdDECUKJjWFllpMGb1H5SyI+rs5nN6ZaShLowoO2A4YoCMhlKGKJ+WDr37x7/HOylsQCoy6Px309px8jeYjRyzhQ2e90e1QhE/JCLp/SYIuasoFX/wRGF7+yhW1JLQ5hSGj556gTYOhQyNuhyFK4bjcub3ODkaVo337lDUaI2fhGAZG0IQA6IA58vtS30WOaaC0g1LFJF7ZGkLmfm7lMoUk52JyZATdt2ScUdSMZDpPOiXzgEX1NDzV4+kRmHriJCJgevyAWwDFzu06IJ+cqnH8efStcTBSBXQ4WEzOJ8EwDVTOQe8cKjQyPjhW0PDV393ndhTCx3aNoJdy8avu7m4uuugipk+fTiAQwDTNURe/khF0UTP+6Qvfk9FzUTWhLSmMPhk994pCu8w/9ws76vZ+2sdHoxNhKLDt4tzsXS+92vvcbLdpdHF+eCRQ3jnikQBGMo+TCGLHgh585qMpFLf9/QkZRRcTVwcj6O95z3vYuHEj1157LdOmTUPVSA8qSdBFzejtTUmCLqqm4R8yeu4lyXky/9wPAkMOlkvN4erV7knuqH1WplDsrxYNeCZR1ziojIWOhSoSkY6HMPsyOC3ePaGn0cVpCQbEAzJtR0ySj5PvUvz1r3/l/vvvZ/HixW6HUlaSoIua8JFv/UqSc1E1MnruLVrBwKKY22GIEniitL3GD1hLFg2+uiR8Oo9CoUNG8W+kFMUG6dX5e2l0sZw9GoRoZTurOy3RYpM501snijQao+Dws4vfxaJ5M9wOR9SAemgS19XVhdY+fgJ74a29kxAT9OA/1rsdgqgjMnruLToWxknI+WavM9LaA+XtYkyxEDoWhICJwkBpBQUHlcyD41T0oTUOKl1Ax3d2ZK8Cbb06H90rYhmH566/WpJzUT56HJdxchyHm2++mQULFhCJROjq6mL58uWkUqmq3H6XFStWcM0117B+/frxPwkPkyMaURPsgpYRdFEVQRk99xyrRUbP/cCwwPHCbtpbeZlnqaCJ3tmcTSVzOPHgSBf0ctBojIyFDgcgVt31yFU4gDGUw24IeaK8X6O575P/7nYYosZUcgT9yiuvZOXKlZx77rksX76cNWvWsHLlSp544gnuuusuDGPf+4rJ3n6X8847j3Q6zbx584jFYgSDo5eU7OvrG/+T8wBJ0EVNUMVZW26HIepAo3Ru95zMLO/OJxU75TVWwiufHMnQx0snwih2JuqJIGqSBZgjJe3xysw1L4XTEEa9Zn10tyhH0xyXE42izCrUJO6ZZ57hK1/5CsuWLeMXv/jFyPUHHHAAl19+OT/5yU84//zzK3b73a1YsWJ8wfuE+3slIcrBK8d9oqYFt6Qwdsjoudf0L0q4HYLYj2BaU2iWHbXf6UQYHI3KFnBi428up9GovI02jPJ2aJ8gxzRQOJM+4TBZ2lD8+bFnOe2oQ12NQ9SWSo2g33777WitueKKK0Zd//73v59rrrmGH/3oR/tMsCd7+91dfPHF4wveJyRBF7WhRpZVEN4mo+feo8NB8lPdP9AX+2BrCg0eankjA+iTogyFjgVRqRw6XvpoulYacyiP0xD2TAMkwzQgU0BHlaul7grFVb+4g6ckQRfl5Oy8lLLdODzyyCMYhsGxxx476vpIJMLixYt55JFHKnr717Jtm1//+tesWbMGgMMOO4yzzz7b1+uge2UfKcSkNDaG3Q5B1LjgVhk99yK7ScrbvS44pMG/x0lib+JhcBQqW0Dv46yHRqMyBbSlcRo8+F0dDWIM5/f5HKohF5UPiSivXSPopVwAhoaGRl1yudyY97tlyxba29sJh/f8PM+YMYPt27eTz+f3Gtdkb7+7l156iUMOOYR3v/vd/PKXv+SXv/wlF154IYcddhhr164t6T68SBJ0UROuedepUIPLLAjvaPxHr4yee1B2mszb9LSCxmrw1ifHY827fU0ZCh0JYiTHTnCL65rb6GiwOFrtUbohjJEquBqDQvEvX/qOqzGIGjPOLu5dXV00NTWNXG688cYx7zadTo+ZXENxFHzXNnsz2dvv7vLLL2fevHls2rSJxx9/nMcff5yNGzeOzGf3KylxFzXhLYsP5hPOHWg5AS0qoDh6Pux2GGIMg4fG3Q5B7EMgi+cSdFF+OhHGSOZwEqO7ohvJQnHeug/oeAgsGwLuHUg8mRpw7bFF7VFao0oYvNq1zaZNm2hsbBy5fm9JdCwWo6enZ8zfZbPZkW32ZrK3392qVat4+OGHaW1tHbmura2NL37xi5x44okl3YcXefd0phDjZITkIFBUhoyee5MOmKTmy/xzrwoMOh7q3C4qrZikvzqSrtG+Sc53cXauCeMWbSq+/Ju7XXt8UWPGOYLe2Ng46rK3BH369Ols3759zBL4zZs3097eTii09+/myd5+d+FwmOHhPQdQkslkyffhRZKgi5oRCUtBiCi/4La0jJ57lNMQAR83galpOY2VMGSFjTqjE8VScY3GdLlkfCKMgIFK73tOfSUpFN945HFXHlvUnvHOQS/VMcccg+M4/P3vfx91fTabZfXq1Rx99NEVvf3uzjzzTD7wgQ/wt7/9Da01WmsefvhhLr30Us4+++zSn5THSIIuasI/f+H7pJL+OxgQ3tf4D+nc7lX5KTL/3KtMG+82hpN+JRWl4yF0wcGK+vSkeSzkatM4O+zVD47wnXGOoJfqvPPOQym1xxrkt956K+l0mgsuuGDkurVr1/Lcc89N+Pb7s3LlSubNm8fxxx9PJBIhEolw4oknMn/+fL785S+P74l5iE/3nqLe9Q0nOf0T3yYRDzPQn0YrBYakUaK8gtvSGNtl9Nyrhg+UBN2Lgv0OhRY5/1/PjKCJSubRCX+WmOqGsefUV/xx0ShHTiCJ8qjUOugLFy7kQx/6ELfccgvLli3jjDPOYM2aNaxcuZKlS5eOWsP8lFNOYcOGDejdToyO5/b709zczG9+8xtefPHFkRMBhxxyCPPnzx/fk/IYSdCF7zz3Sjfnf+5/wVD0D2bBkANBURkNMnruWVopBhZKgu41RlpTaPL4Plnyn6pwYkGKs7o9/n7YC50Io9J5dCxQ8eeg0Zg5m/MOOZTPXvC2ij6WqCOljo5PYJ+4YsUK5syZw7e+9S3uuOMO2tvbueyyy7j++usxSjgun+ztX+vAAw/kwAMPHP8T8SiltdR61ZOhoSGampoYHBwc1anRL57duJULb7gdTEmbRGUFu9M0371WEnSPchIRXrra32fIa46jMQrghL39qQn1Wuho0O0w6oJK5Yvd0X1MOxojZ+FEA2UdTddojILDUU3t/O/y95TtfoU3uHm8veuxjzrv85ihyH63t/NZHvu/T/omN7jqqqv43Oc+Rzwe56qrrtrntjfddFOVoiovGUEXvnHbvY9w8+33S3IuqkJGz73NapPRc68JDmkKzf4cLRVib5Shiuu4p/I48eC4k/SRuewK0KBsh+mE+dVH30dzXPZjooI0KKe07fzkiSeeoFAojPy7FkmCLnxjhSTnokqC3WnMXpl77mWpOXJg6yVm0gel7bv47GDUz+xIAIWu6jzuStHxENpyMGwbJ2zu8zlppQlkbI5q7+ArH3iHJOLCHVqX1hTTZ8XU995775j/riU++TYVAg6a1+67nYjwJxk99zYN9C+Oux2G2CWncSLIkmpiD4ZZW4eZRsBAhwP77vJu2fz8Xefx7Oc/ym1XXizJuXBNpZZZ85JLLrlkzHXQU6kUl1xyiQsRlUdt7TlFTbv9Y++WkY8y0Tg42GgccHTxIgAI9sjoudfpaAirReYQe0JBoxTogJ+yc9nficnRDWFwQCVzaKWL88lzFm0Fg+evu5pF82a4HaIQFVtmzUt+8IMfkMlk9rg+k8nwwx/+0IWIykNK3IWoQxqNsWuRYgO0dtA4KBTK2Xmgbaid5VE7b6Q06Npfzq7hyV4ZCPQ4uynqdggCwNIYjvebwgmXaQ2q9t4jylDoRBhtObTk4O83ftTtkIQYRTmlzUEvaZ66xwwNDaG1RmvN8PAwkcirzfBs2+b3v/89HR0dLkY4OZKgC3/x8Vk+z3B0MQHdrX5GKePVpNQA7dhodpY+GeaurdDYgELZqib7AQR705i9Q26HIfYjO1NKRl1n7+zYHq29/YAoL+Vodp0PrkXKVNx26TvdDkOIPVVwmTW3NTc3o5RCKcVBBx20x++VUlx33XUuRFYekqAL38jn8zLHsUxeTbr3/vvXJvEAShVvp5WNRmHUWKLesFpGz/1gYGHC7RDqm6Mxs2DH5dMiSuDDg//xULbm4NnT3Q5DiD2UOr/cj3PQ7733XrTWvOlNb+IXv/gFra2tI78LhULMnj2b6dP9+7mUBF34wh1/f4ZPf+ePYEjbhMnSxuQ76u5K4LXhoJWDYRneTNSdnSX6hh45ubP795CmWBeggeD2nIye+4AOBsjMDrsdRv1yNIE0WAkPft5LpHTN54yeogNGTZ/47NByKC08qka7uAMsXboUgHXr1tHV1YVRY/mB7FWE5735vz9Hb5NFaL5G9ZrkhyKgQm6H5VsaXbaDJaWMnVPTbZRjeGd+uuOgjeK8R2UY7F56sXuEarf/N8nouS/YjZH9byQqJjjso+XU9sJ/h6I+lrEgWrv17RrNomlTyWazo+bACuEFtTyCvsvs2bMBSKfTbNy4sVhtu5tFixa5EdakSYIuPOOv/3iGT9/5c8LKJKpCbA4Ok2oKkOwIA0HopHjBodEexHw4hjJe7eSsHQulHAylUYaDMh2UqVGmBlNjJUM4Tp1/gWpd3BGX+fhaGSba8UCSrjVaFUfLFWbJUyKC2zOYPTJ67gf5Tpl/7pbggEOh2d/Juaguw3ZwavxQ88+9m1n0pa9yzsy5/Nd7z3U7HCFeVcNz0Hfp7e3lve99L3/4wx/G/L1t21WOqDxqe68pPC+bzXLe11awqSHNQCSC07GrdNUB9rbOsWLIjBA4qQC6gEbhaPWacWGD12ahMZUn/FdzVFJfd/T+559PlOtJuqNxDKfYnX6cD9+wWtY994vhgyVBd0Ow36HQUiPJuXzYq8aJ1O7oObDbdDHFr19Zx5M3fI0/ferfXY1JiF2Uo4tNGkvYzq+uuOIKBgYG+Nvf/sYb3/hGfvWrX9Hd3c0NN9zA//zP/7gd3oRJgi5cc/J/X8eWqQa59iAQG/cZPMsZ3xd/WoeIHpFEP9UyvgeqIeWYf74vFUnSd31xGBpHaQxH7bncm+Og1W5Lx41DYHtW5p77hDYMBg+VJdaqLdhfYyPnPpxv6Vc6aPi6fHY8FIoN+bTbYQgxoh5K3O+55x5+85vfcPTRR2MYBrNnz+a0006jsbGRG2+8kbe97W1uhzghNfSNK/zklP++jnUdIXJOdUezdyRihNoGqvqYnuFUpzOSMkw0xXXVmehZWad4ewe7eD+GAgwMbYIy0MrB2Xn/GgetXu0wP16Nq7t9/eVUT3QiDMHaHpHzmpHkvKZGnWvqyXhXOo/S9fVaB235MhEeosdx8alUKjWy3nlLSwu9vb0ALFy4kMcff9zN0CZFRtCFK7a3Fftnu6Hn4DABlcLRCgdFTBcIPhCt7dL33cu/q2BXGf1E1k3XOCij2PV3rKXeoJiM7/qdKk44nxAZPfeXfLuUt1dTYLAWk3NRLQpfH/dPSHuwzvvcCE+phxH0gw8+mOeff545c+ZwxBFH8M1vfpM5c+bwjW98g2nTprkd3oRJgi5coRxNlXLFPTjaIK9fzfqShGk5OoV+NIEyavMj4ZhOcfS5ykYSdWUXG7ftazm2nQ3eVBULexqflNFzP0nPlQS9WgJDDlZjbSbnWj70VaEjtfl9ui8nzZvjdghCvMrRpVUy+ngO+kc+8hG2bt0KwGc+8xne+ta38r//+7+EQiG+//3vuxvcJNTf3lN4gmlp8NCAdX84SsdBw1gv1eD8dF29kfO9UYYJeue66TigFIZDcS45gALH0Bi6esl5YEdWOrf7iAb6j9hb40hRTmZSYyVqMzn3Ak1xpQnDtgkWbHLhUEV7g7jBKdioYG2vfz6W95xynNshCPGqOujifuGFF478+6ijjmLDhg0899xzzJo1i/b2dhcjmxxJ0IUrgjnAY72eeqZEmTo4QL632e1QysfWOxvDeYNSOw/Yds1w2BmY1nbVR/gbV/fI6LmP6FgYu0G+sirNSGvsqJIONWWm0QQsi7aBFJF1Gj24eyl0FjUzS8+cKJlIcSUTvyfsZs5CB8P737DG3PCLP/Pdyy5wOwwhgJ2HWaWUuFc8kuqJxWIsWbLE7TAmTY52hCvieS82elJsPyhEQ7dVG6XuWhdL210ePS/FRBu8TVRx9Hywqo8pJsdu8dgZvRqk0hodUq5NP/IbjaYhlSYxnKcQMckFTArBALZhYJsG2igu/xnO55n6dAbdFwbCYw5W6VciTHlFA1lUS56hAw0GE1Ec0/Rlo7V6LG8HWL2z1FYIT9C6tFUrfLayxVVXXVXytjfddFMFI6mc+tyDCtddcuRSPrn5Ibx23s5yTIKhPJZVCx+NiS07Vg8an5TRc79Jd8n884rKFacd6VrY9VWBRtO5fYjw6hAQYedioYCz8/La7UsfTdb9IRr+Dg0UgAJqRpa+rhDDiZgvRta1oyFQf+XtAMlIPT5r4VW12iTuiSeeKGk7pfz7eZSvYuGKC055I5+77X6y2kMT0XdSbXno9nky4LHSdi8J7Mhidsvcc78ZWJRwO4TaldcoBTpYJ3uMST5NjaZrQz/qxepUdejNEVo2Q3N0iO5jo+SDQU8n6ka6gE6E3A7DFUoZnPSZL3P/dR9xOxQhanYO+r333ut2CBUns8yEa6JZy+0QxmS3+2xP9Vo7S9urXTbuF8XRc5//jeuMDgfJTa/PA/6KszSGpljaLvZLK82cNQNVS853pzIhpq6ymf1iP2ON0nuFDtX3oeWAlXc7BCEAULYu+SK8RUbQhWuahhT9U9yOYk/DzSEaD+7H7FfogSD5bMhna6RLafuYbJumx7ZjDOfcjkSMk90oawtXhKUxCuBE6yw5n0DZo0YTzuXpfCyLk3b3/ag3ROnakCN5jEVfU8Jzo+m6Dru3Q/E90l4wefDzH3U7FCEAUFqXNCDh50GLk08+eZ+l7Pfcc08VoykfSdCFaz587Ju5et1f3A5jDzknQG9rAFqLP4eMPA1/1WjlgxE8Z9da4mJ3xnCelvs3YQ6ksTqaMVJZt0MS45Cb6vMpJ17kaMw82LE63FuMc4BXOTZdTw9CTxTwzvdA4pEAkcMG2DKt2VtJuqF8VzJbDkbB4cHrS29eJUTF1WiJ++4WL1486udCocDq1at5+umnufjii90JqgwkQReu+eeTTuATG+4h73j7bZh3ArAoBU9558BsbxzDH13bqymydoiGxzejCsUpFWpgGB0wUZbtcmSiVIOHSYJeVo4mkAYr4aGkroq0Hs9JTIdpd+dAeXMVgcAzEWZl+9k4t8UT3d61o+t28qQTNLj38ec4eckCt0MRoqhGu7jv7uabbx7z+s9+9rMkk8kqR1M+dbobFV4RyxfcDqEkOxJRQgmPNxbTkpyPUrBofmALDX/bMJKcA5h5G7u9wcXAxHho0yB5oJS4l1MgWb/JOUCpeaxWmq5HhjG93gl4bZQ5zw6gPTAMprIFb43mV5FCcelv7yCblQot4Q27uriXcqk1F154Id/97nfdDmPCJEEXrooO+WWvoBhYZKAdj55QcLQnDs68wuzP0v7H9YQ27BjzUNHYNoDT4M0RMTGa0xABU048lUtw0MFqrM8EakQJT1+j6VrfD4Per5wCcDZHmP3YkOvfA0a9N5syDZZ87ituRyFE0a4R9FIu4+Q4DjfffDMLFiwgEonQ1dXF8uXLSaVSVbn9/jz00ENEIv49ue/t2mJR8+YHWtmKP842Z3WQxgVJrBda3A5lD1La/qr4c/3E/rEFZe29y7EBWIZCKeXr5ij1oDBFytvLJTTgkG+W8/KlNIlrSKZd6dQ+Gbo/xKx/9LNxUYt7o9herzaoAitictANNxXn9apiJ20z73D9W9/EP590lNvhiTqinOKllO3G68orr2TlypWce+65LF++nDVr1rBy5UqeeOIJ7rrrLgxj3981k739LsuWLRv1s9aarVu38uijj3LttdeO/4l5hCTowlX/ed5FvP6P38TR/jho7G2LEj9+qFgOpDXBrIN+ogFluPhR0g6GLKkGBYuWB7YR3NJf0uaBwTRWRxOBnsEKByYmY3h+3O0QakKwX5LzXfZX4q4cm8aH1KTXS3dFT5SOHUP0tjW58vBuj+B7gWK3JnkaMBR2xOC6P94jCbqorgrNQX/mmWf4yle+wrJly/jFL34xcv0BBxzA5Zdfzk9+8hPOP//8it1+d01No/d1hmFw8MEHc/311/PmN795XM/LSyRBF66aPqWNmFMgqcJuh1ISjSJJuHjgpoAYTJ2VJP9KszsBSdd2AIK9aZoeeAUjPb4l1FTPIE5DFGM4U6HIxGRopRhY6K9RTK+yGg1/JpyVYOz9hdBouh5Lgh9W7diLyBMhAkvzWEH/PodaZMnnT1Rbhbq433777WitueKKK0Zd//73v59rrrmGH/3oR/tMsCd7+91973vfG1/wPiGn04XrYsPW/jfysO2zQyjyrjy2YzioOh89Tzy1g+a71407OQcwAZ0voMN+Wue+fuh4GB2T88iT5mh8UqRUFXsbQddopm0b8M28832Z+kAe9ATqVidLStz3yg6bvP3Gb7kdhqgju9ZBL+UyHo888giGYXDssceOuj4SibB48WIeeeSRit5+LI8++ii33XYbt912G4899ti4b+81cuQjXNeZi9HjdhCTYDkm6vAU+ukqH9TVe2l7waL1L1sIdE+uRN3MWVjNccyCjXJcOKAVe2W1yuh5WRQAfxQpVYcae53ucD5P8Gn/NhXanbJMuv6SYtPSONUci5ES971TKHrSabfDEPXE0VBK40anuM3Q0OjVisLhMOHwnl8eW7Zsob29fczfzZgxgwcffJB8Pk8oNPZx8WRvv7tXXnmFd73rXTzwwAM0NzcDMDAwwAknnMBPfvITZs6cud/78CI5py5c98kzzkX5/Et9R0OU0PR+AmaVvnzrvGu7SuVp/9P6SSfnuwQGUtitcfQ+Sl9F9aVnS4O4cgiMv7ikpo01gq5xmPIXf1dz7aEQoOsvKaCKJx5LbOxUj7TS3PvJS90OQ9SR8Y6gd3V10dTUNHK58cYbx7zfdDo9ZnINjHROT+/jZNRkb7+7f/3Xf6VQKLBmzRr6+vro6+tjzZo1OI7Dv/7rv5Z0H14kI+jCda87ZAHhRy2y2r9lxhrFttkxmA1BI0W0YBEedDB7Day+CE45h68cXddd2wN9WZpXbcDIlHdaQWD7MFZHI2bvsHR29wAN9C9OuB1GTVDOznbSoshQo3JWjWb2w0PoWiwzyAeY/ucs1pEFtrfEcQyjeIJCKVSpC8KPh5S471U4bft62SfhQzsbGpe0HbBp0yYaGxtHrt5bEh2LxejpGbv2NZvNjmyzN5O9/e5WrVrFgw8+yMEHHzxy3cEHH8xXvvIVTjrppJLuw4skQReeEM1aZGtkHnDBCVAwA9BK8QKEjSTNmwoUNk5yiTZbo+s4OQ+9kqTpoU2oQmVGugI9Q1idzZjdA5LOuExHQhTaamOf4Do53zTabh9ujWb23wfRyRpMzncylcJcHWIGhdG/mJ9h05xmylVMqdHogMLAQaPcW+rNgzSa/31faU2vhCibcXZxb2xsHJWg78306dN59tlnyeVyeyTxmzdvpr29fZ/l6ZO9/e66urooFAp7XG/bNtOnTy/pPrxIapGEJySG3Y6gsnJOkJ4ZUQLh5MTvxCkm5/XaFC724gBNf91QseR8l0D3AHZnc0UfQ+yf3SwjTWVTn7uMvds5lUWjmfXIEHqodpPzfXopSteq1KSayWk0yrFo6x9i9sODzL4vT9ddOWbdlaXroQFmbO4nnkqDdupuWpamuMqKxiGSsVk0b4bbIYl644zjMg7HHHMMjuPw97//fdT12WyW1atXc/TRR1f09rv70pe+xGWXXcajjz46ct2jjz7KRz7yEf77v/+75PvxGhlBF55wXMscNtHtdhgVpVEkj9KE/1pAGeMcGdQOWlG3yXnDE71E1myr2niM0T2A3ZrA7JvECRUxKdlpMv+8XKS3wmsYO0fOHxtC10DH9kkpBOhalWbriSEKweC4Rr210kzfPEDg2QgQ3DP9ToUx1uwqJsuhDRt9UJ581CQfNCkETQqmiW0aO0vvi49dCyPvGs0P//kcXnfIXLdDEXWs1A7t453Wd9555/GFL3yBFStWjCojv/XWW0mn01xwwQUj161du5ZCocCCBQsmdPv9ec973kM6nea4444jECimtZZlEQgEuOSSS7jkkktGtu3r6xvX83STJOjCE25417v49c//B8up7QQ0rUPED0liP19iqbveuc65MmrgkGUCbJvmh7YR2ljdnaoB2H1JnEQEI5mt6mOLosGFcbdDqBmOfNOPYhgOcx5P4vTX6cj5a1km01bZ2NpCHZyld2qcXCi010RZo4nk8kx5qICySq90UY6Jei5KBHj1VvbOS5ETKZA9TNPfGMcOmJWZJ19hWmk+tPAISc6F+8ZZ4l6qhQsX8qEPfYhbbrmFZcuWccYZZ7BmzRpWrlzJ0qVLR61hfsopp7Bhwwb0bo8xntvvz4oVK8YVu1/I17aH/OUvf+FLX/oSjz32GFu3buVXv/oV55xzzpjbXnrppXzzm9/k5ptv5oorrqhqnJUQiUSIFwoMmrWdoANsb43SGU2Sz+ynAVadN4Mjb9F63ysEtrsz/8EE7IKNDgdRuT3nN4nK0UGT9Ow6H9ksI12nu5C9aTRyOH2SnL+WqRS8EKXzBQdm9bPxoJZRSbpGYzgOXS8NwsYolZg7YWSDxB6DGAVsnUctyNLbEScXLu4PvD66rtEcF2/jI28/xe1QhKhYgg7FxHjOnDl861vf4o477qC9vZ3LLruM66+/HqOE1Rwme/tdLr744nHH7geSoHtIKpXiiCOO4JJLLmHZsmV73e5Xv/oVDz/8sK+bH4wlNuQwOMkean6gUQweCZF9lbrbGses3+TcSOZpvXcjxnDG1TjMXAGrKYZp2Shb1kivFrshCnVwsq4q7GLjLvGqFiMLyBSKfdoYpWtLiu4TQ+SDQUzbZuaLw+hXIkC0KiGYSsHzUTqfd4Asqj3L4LwgQ/EojmF4IlnXaBJZTXskQipvcWhnO7d+uPTyXCEqqoIJummaLF++nOXLl+9zu/Xr10/q9qWwbZtf//rXrFmzBoDDDjuMs88+G9PHxxGSoHvI6aefzumnn77PbTZv3sxll13Gn/70J972trdVKbLqmEUTW1/bZbZGZXSQ2BFJ9FNjnJFwNI6q3+ScgkXrneswsuVdRm2iAoNprM5mAt0DbodSN/Kd1UkA6oGZAVtWqxulQWVJSoK+X8oymbrK5ogTXiS7PcHzr3S4Go/eHqFxOzSSx9YadWiO7e0xsi6NrmtVHC2/7draHMETNcChtBU2fTz+8NJLL3HGGWewefPmkaXWbrzxRrq6urjjjjuYN2+eyxFOjHRx9xHHcbjooov46Ec/ymGHHeZ2OGX3waWnUU/rAe1IxAjO7n/NtQ5aaQyjTpNzwEjbnknOdzG6B3CiUhJbLcMHyfzzcjEK9bNPLVWiTk4El8uTD87l+RfaOfX0Z+ma+drvLHeYSmGsidBxv8Osu7LMfnSIlsFhlGNVtFu8RqO1Qyhr8bFjjuG2KyU5F96lHKfki19dfvnlzJs3j02bNvH444/z+OOPs3HjRg444AAuv/xyt8ObMBlB95H//M//JBAIjOsNl8vlyOVyIz8PDQ1VIrSyeOPiRcSe+jVpXT9zT3umR+kcGiTf11hcQk2bKPer9lwVSFV2GbWJMACrMYKRye13WzE52lAMHiYj6GUjp+H3EMV7+xjvM7jrD4diGhZvPOUF7rv7ILcDGkUPhEg8Ujz5Yus86uAs2zvjZMN7b3Y3EcpyeP66q8t2f0JUlKNBlXDCyvHvidxVq1bx8MMP09raOnJdW1sbX/ziFznxxBNdjGxy5KvbJx577DG+/OUv8/3vfx81jgzuxhtvpKmpaeTS1dVVwSgnL+rB5KySNIreQ0IEIkmUdHICwEzb+9/IBUb3IE5cRtErTSciEJLPQrk4oTo/4zeGiK6v75lysp0AD/x1DrO6vDGSPhZTKYwXonTc7zDjzxmmb+4nWMijS0lU9kGjuebEE8oUpRBVsGsOeikXnwqHwwwP79lMOJlMEgr5d8BPEnSfuP/+++np6WHWrFkEAgECgQAbNmxg+fLlzJkzZ6+3+/jHP87g4ODIZdOmTdULegKakvV3YG5rg8GjFQYyOgtgZr1ZfmoATkwS9EortMnoeTk5QUnQXyvs43JOLyjkQsw9uNvtMEpiKoW5JsLUVTaz/pxl1pp+4un0uMrg9c7/wlmb975ZEnThJ6Um5/5N0M8880w+8IEP8Le//Q2tNVprHn74YS699FLOPvtst8ObMClx94mLLrqIU089ddR1b3nLW7jooot473vfu9fbhcNhwmH/JBXLDj6G/+7/h9thVF3OCRJ8XY7gg8beO7vXCSPnzRF0gEDvEE4sjJGWkymVkjpA5p+XTUE6uI/l5UATs7r62bipDpYNqZDBwdLXP/cSvTlC62Zo0hkKSwr0tDWOWQKv0TTl4N/f8Dre9YYlRCL+fL6izlWwi7tXrFy5kosvvpjjjz+eYLB4/GxZFmeffTZf/vKXXY5u4iRB95BkMslLL7008vO6detYvXo1ra2tzJo1i7a2tlHbB4NBpk6dOtK1sBZ8+Kwz+MqPHifn1N9bM6nCtByVQj+WQBn19/x38XKCDqDDQZAEvSI00L9YEvRyCWQ0VqMk6K+1ujCd4JIC/7zoBf5xTxeZjH/LIN3S0ODvfaCpFOYTIWboDAOvV6SikZFEXaNpz5s8eMNHXI5SiElyShwd9/Ec9ObmZn7zm9/w0ksvjSyzdsghhzB//nyXI5uc+s0CPOjRRx/l5JNPHvn5qquuAuDiiy/m+9//vktRVV8sWyAXqs+3Zn8kSseBQ1hrW/e/cY1SOY/PDw3IzKBK0bEwdmN9fvYrQXn7XJerCirI7cHDmPu2HSzZ0M3jj3i7P4vXhMK18eYylaLtAWidN8CmA5pRKEJZmwc/f5XboQkxedopXkrZzmccx+FLX/oSv/3tb8nn85xyyil85jOfIRqtjWlyciTkIW984xvR4ygzWb9+feWCcVFiCPrb3Y7CPT0dMaYODpDf3ux2KK4wCt4+8NOGJOiVYjfXxherV0h5+/69bLXx8ow23jL7RdIPNrJ5S5PbIfmCD4/n90mtjTBrbZZDTtvCVz5/i9vhCFEeNVzi/vnPf57PfvaznHrqqUSjUb785S/T09PDd7/7XbdDKwtJ0IXnHBzpYBN7dmSsH4rtB4do2p5HU4ellx5P0MkXsFsbRr74lNbFCjJndNMVNern0b+XtGls6a6Y2yHUFKe+21mMy5+sA4kcm2NZ9kWeuHc2uZy8ePvyxGMzCZg2ll07jV3fcsYLfPRj33c7DCHKp4ZL3H/4wx/yta99jX/7t38D4K677uJtb3sb3/72tzFqYCDF/89A1Jxrzj4HQ9XY6flxshwTdWjK7TCqzsFGWd5O0AP9Kcy+Ycz+JOZACmMwjTGUxkhmMFJZjHQOI5NH5QqovIUqFJ+TchzUzuTcDhpY7Q1YU5uxpzTiNMbQ4aCP+6iWx+AimX9eTtLBfXyyhPlx5HDsM7McceRmt8PxtL7tjcw/cLvbYZTNm057UZJzUXscDY5TwsV/Rx8bN27kjDPOGPn51FNPRSnFli1bXIyqfGQEXXjO/JkziNt5ho367pq6oylKeyCNbdX+qKKjbQwUhjJ9+UUxXmbBge17VonYBuiWBAQDYGuU44DtoOzd/2+D5dTcKLwOBcjO8M+KE56X1yAJ+oS8YE/hhdlTeNvcF+i/v5ltPY1uh+RJM2b38dxznW6HMWlveONaPvof33Q7DCHKr4ZL3C3L2mN1hWAwSKHgzaV6x0sSdOFJsWGb4TqfCqhRFBbnMR6t7QRdY2NoA4xiMqHqIEHfG9MBdiT3u50DOCETHQlBKABmscxUORrsnVUIBXtk9N4P7EaZf15OgYzGCkmCPhl32AcROyHLOem1PH7vbPIFOWTa3eBABEM5ONq/xZhLjtrExz7+FYKhOpxOJmqf41A8YihlO3/RWvOe97xn1FLS2WyWSy+9lHj81Wq8X/7yl26EN2nybSM8aZoVp9vtIDxgIBhlasMQ+eHaHMFxsDGcV5Pz4pX++6KoNgMgb0M+s99tbQW6IQLhEOycl2UOpFA5b51lzk2r7RNR1Vbns4TKJk2EH8cO4+C3d9NyV5D+AXmf7vLo3w7g9W94ib/+xZ/LGc2f18t/fPJKwhH5m4oaVcMj6BdffPEe11144YUuRFIZkqALT7rmrefwrkd+Rb230wpm8tBaQA9aNbc2uqNHj5zv9gt3AqpRpgaGskB25Dpbge5sxuwdKpbRe8DQAjlILidt1ve+s9yetzo5/8hnefjeuW6H4inPPtPB4sWvsHr1TLdDGZeOKcNc/h9vor3tILdDEaJyajhB/973vud2CBXl37okUdNed8gCospbI3yT4thM7UnSuSNJU196n5s29aXp7EvS4GSxokG2TU8Q6qq9rvZKqT2Tc5AEvQpMDYHuAZxIALu1wfXmdNo0GF5Q3z0nyk06uJffy+0Jt0PwnL4djaxePZ03v+0ZYtG82+GUJB7P8f6PtHHogrPcDkWIynJ06RfhKZKgC8+Kpi23QygLM5unURfY1pGguy3BYGuMBDk6e5N09KTo6EvRmkmT0DmChsVga4zu1gTDRmSkgqBvTgi0Pw5+SqXsMZLzglVctkxUhZnOY/YNY7clcOLuJchOIjIyj16Uh5YGcWX3cH4GM2cMuB2GBxncecdhnHTyi24HUpIz3r6Jk0+62u0whKg4rZ2SL8JbJEEXntU4XBsH7K2FAkPm6OQnSZjuKQl6OuL0tMbpi8ZIqjAFZ+wy9oITwDykdpZdc7BhjBJcZZWenJe4uqcoQWBHElJZrKnN6GB1p1JoIDtTRibLytLo2th9eosymblwh9tReNaf/nAIB8zx/uvzi9vn8s1vXuJ2GEJUni5x9FwGRjyntia1ipryppkL+E5+ndthTEg0lacxmSfbFqC3oTxza3e0Rmg301i29+fqasfCNGxUwMIIaBwLClYUpQCtdjaGG+N2CuzWBMZAer9zo3MHdzK0qBUjZRNIFgimLIx0ASNroXIWhg04GpXKYqZzFXmetcQAjG0D2KaB7mgqzk+v0Je2NhROU4zMnAZ6T2iiMEXqscvJTINdm30lXZeNSGXCXmkDW2tOO/0ZctkQWzY2s359K5btrbNFjjb42Y/n073lfXz8k1+XDu6idukShzIkQfccSdCFZ137zvO47Uc3kN/LqPJEdHQnybYHiO2w2NYaIZqxieZsAo4mF1AMNofBmNjBRHQ4T2M+T7o1yHA8RCZe3i99RxsUFmdQj7mfoGvHImAWMBMFSNg4CbBiCiusyAdM8pg7l94p/u2ChkXDX21g52uyt9qdSJAdbz0A8hax9UmMXHGkXZsGjmlAQOEEFI6hKHQWy6Kd5gD55jCjJgDYNu2/fQkjU7zWiYXR8TDaUKjtw5j2nsm/AzgdTcV58RqU7aBH5slryBZQg2m8dahZfqbtQM8gVmMEZZiYA+Wp3NABA7s1QeqgBnpf14CTkK+fSjFsjV3nDTYrJdQnr+u+bNzQzsYN7SM/LzlmPU88Ohutvfe6/eW+ecQSH+Dqj37f7VCEqAzHKW1JDylx9xw5QhKeFssVyJej5Nax6RjI0tMZBxRDHaDQZBoCZBpe3SxsFIhvy9HXMb4kuHlHmuH2CN26smfi+0NRpsaHyaca9r/xBGnHwgzYBCIFiFnouMaJghVVWGGDvGGQ1wE0BhAe4w72vKrgBAgekKKwvsTXJxQgfVDzxJ+EaaJjIdiZoBvpHOwcRdeqOHrrREKo/mHMfHGdcKejiUDP4D7vVivQAbNYEqbAbm3Y7238KjBU7PpudTRh9g2jrPF/getwkMKUOEOHN9J3VByCtX56wyPkZa6Y3k1SmjAejz8yx9Nd3p98tNPtEISoGG3baGXvfzu9/21EdUmCLjztgMEYT7Q7MInRoIaBDGYcelrjo64fawm3nBOk0GnS2ZOke8r+58UGM3lacgV2tEewdXVaOgwv0oQeGL3smkEKM5rHKYSx8kGUMXbJ8MjId7wACQcnobHjYIUMCgGDgmFgOebO1ya48/LaO5lY3E50YrebMDX2e0ZpjRpMYwym0Qqchig6EsQsIdFWGii8+kVm9g5idTYR6K7NJB0g0DOIHQ+jIgojmd3v9k4sTH5agv4ljcXO7NL8reqcgPdGK2tBo8qwYUOL22H4TkPLvlcucVPXrAG3QxCicqTE3bckQRee9qurPsYxX/s0vYnxl3VHU3niFNjRHBvXeuqONuiekigm6R1jJOmWRceOHHaDYjAepicaqmq3shRhGqYnyW9rBiAYStF/DCiCJLZlGegwCBk5wpZNMKtxTCiEDAqmQd7Zx8g3FOu8K6TqTatK+MJRGtRwBoYzE3oIpcHsHsTqbCbQPTCh+/ADM5XDBuwpTRi9g6M+TVqBboiS7Wpg++uayHbt5b0lqkaWWKuMY83NvOx4cyTYy+6/9yAOPqiH51/ocDuUUaKRAu+79Dy3wxCichy9c2RhPyRB9xzp4i487zfv+EjJa6I39aVpcLKEjQLZRIDt8fi4kvPd9XbGaN1RPPMfzOTp7EnSkssQCCp6OuPsiMWwXGqV3DcvCDpPKD7MjqMVeSdAzgkWS/PzNjknyJARYUcsSn84SlKFyTnBCb8W5ZBtMNFOdZbOM5J5jP7qdL1XgNk9gDW1uSqP5xaTYsWA3dGIDgex2hIMHT2NdZcfzEtXzeOVd3RIcu4FjkbLCHpFdKT2X0EixtY1b7vbIewhkw3yhz/80O0whKgcrYvzy/d7kQTdayRBF543fUobp+WmYu6n0UVnT5JkW4RhI1JMRidZcu5og+SUEAmdw4oG6e5I0B+OupaU7y7vBLCPzdBzRGBUPBpFpODNZh9JwgQXDFflsWJrh1BO9b5wFBDYNoDV0VS1x3RLoGeI9EGtvHzZHLad2YbVIsO1nlJgMjOCxD7YQ1J0OFF3/XEBCxdudjuMPdx3Zxd/fegWt8MQoiK0o0u+CG+RBF34wsp/fT8HdO99FL2jv1iOXu554HknQFKFXR153pvBQGRnp/TRApZ3m330tEUJdQ5U/HGCg+4sqxboGcSe0ljJmQKekJkmI+VeZcqKghXTt23/fUnEXmiDvoEI7W1JtyMZZWAwyr1/etztMISojJJGzx3p4u5BkqAL37jr6s/Qmhu72cxQqyQMuwRsL58JVWybG8U6dhBF5TIJI+VelmL2DqHbGmo6SU/OjbgdgtgLw9Offx/TNlu2SAf3ydi8qY0FC7cSML11EvnpJ6fx3At3uB2GEGUnI+j+JQm68JWfnv5vJPTo5Ku9N0VWS5ktgKkcTMf7qeGQGSHYWMEk2nC34sHcMYxuieOtw9Dy0KZBfmpllxMUwosaG6Q8YbL+et+BnPzm590OY5QdfXF+9N3fuB2GEGVn6RyWU8JFy77Na2RClfCV+TNncGKmgztjA2gUnd3D9E6NV7WLuldFVIHI9gLbW6N07kjS2x4bswTeMxI2DFXmrgutccwd7pZSmv0pnMYYdiqDWUOjmjoiybmnefgj72vK5IDDe+m+p8HtSHzvz39YwLHHrefvf5vjdigjHn5oDp/+xPs57cyFnHTC5W6HI8SkhEIhpk6dyl+3/b7k20ydOpVQSL7fvUISdOE737z0gxz/5U/jOA7dnYniOk91rsnOks4ZDLQVl6PrbkvQ1JfGbjFJ7m1JNReFVYHC5ljFmlllp8WIvFiZ+x4PYyiN3ZKAfm/Nu5wMJy5f4F6mTdkfVsrdzTOZ3phhcCjqdig+Z/DMM50cOL+XF1+a4nYwIx584AC2bVnPEYdvprFxhtvhCDFhkUiEdevWkc/nS75NKBQiEpHpa14h59qFL/3hvVeTbg0g7YphylCKQRWkEBudOA22xEg6ARocby0NZCqH5kcVWlXuxEF+WhRtemP3ZvYna2oJNqtJEnQvc+S0e8V0O43MP3mL22HUhFQySsHRnmsa9/K6dr668lP09b/sdihCTEokEqGxsbHkiyTn3uKNI1ghxqm5sZH3NR+FsZ+l1/xBE1N5pgyn6OxJMrUnSWdPks7enZftSTp3JMdcC75jIEVvYxyMvSz9ZpjoJASUV2ZDa6Y8l6eQj1f2YUwTu7XCjzEOZu8QVrw2vvxynd6ryBA7WRonJCctK+lnLGDJMZvcDqMmrH+5g3kHbyMS3vsKLW64+88H8rErvup2GEKIOiYJuvCtK95+FrN6Si/f8aKwUaBhIEtah+htiNPdkWBbR4LujgTdU3Ze2hN0tyVo3D66iUfHQIqe5v0nocnGCG3dmUo9hXFpzmfJ91VnrfDBo6ehXW4Wt4uyHQxD1URn9+Ts2jjRUIuCw1q+1StNmdw1cwaJuDRVKoe/PTifk07xwHyk1zj48B1uhyCEqGPyVS587Y8fuoaWvDeSz/EylUOst8Bwc2nzGbc3ROjoSTFlKEVnb7Kk5HyX7vYo4TFG4KstUsWBJ7slTP6A9uo94H4Ywxmczma3w5gUrRSpOVLi7lV2zBsnpGrdgI5x+PGvuB1Gzfjz7w/lTac953YYoxx9/CK3QxBC1DFJ0IWvRSIRrj/8bYQMy+1Qxq0pm6V/Z1O3UtihAD0dcXob43RPSYzvwQyTxkF3qw0Umnx36c+3HAaXtKMDeyn/d4HZM4jVXN3XoJx0OAjBEl9PRxMYdAjuugw4kK+dbvZeY6SkvL2aHmiaRiDglalD/vfSi21uhzDKow896XYIQog6Jgm68L2zXncsJyfb8Npaa8X58XuPKThY3YLnQtTdj3vAsEFVefQ1GMDxUEKstMbI2dg+zaOc2H7+fgVNsN8hkNSAwmoyKOy6NBsQVCgLzHRxO5Uu4TPraIy0JjhQTPQDSV28pIoXc6xLes9LYLh4H4GhWphosCfDRnpmVtEGu5Ujj5W56OWycf0UZnX1ux3GCO3Ih0kI4R5J0EVN+OalH6Qt441S97BRoKMnWVyD3HEwcxbR4Ryx4SzBbB7yFrGhLD3N1ZvLa+YshkLuNvcytTsnUHJTx1ltUGFGJgft1ZmHX25OwxgJulVMts20hoCi0GJgJdTY3y4KdKBYil1oMdBRhcprgoMO5pBGZXaOug84BFIaldegFE5MUWguJvpWQhUv8eLFHusS2/NiNRTvoyZHmW2NFa/B5+VxL86QNdHLac687W6HMELJ0bEQwkWyCxI145snX0TE5XnWU4ZTWFlFT8fOpNAwscMBMg1h0g0RCpEQhAKkGyPoUPXWQwrlbdfrCwyXEvTsDG8l6ABG7yBWu/8O7nNTdp7k2T0pN4vJth1T4x/BVaBDikKTgd2o0NGdo+7NBlZcoUMTuM/9cMKq5krtg8MavDOTo248XpjBosWb3Q6jZoSi7vdJ2eXuP83jO9/9V7fDEELUKUnQRc04+qADOW6wEeVSKtqeTNHbEMeuYuJdqkxDmJa0u+uhZ1UAdPXnwTtB740sKsAcymAH/bULzrWGMVOTTMrdpiCYqq0E3Q777Y9QO3oO8t7+3q+efGwGhuGNKSiFgsldd3Two//9d7dDEULUIX8dHQqxHz/48EfoGKx+qXtzIcP2mLeXnwom3T3wcbRBcFaq+g+svJm8qLwFDd6ZH1+KQnOxhNx3SflraA+etJmo4ICDE6md5+M3D+ZnM2d2n9th1ITenibmHuCd5c16tye4/ftTefiRW90ORQhRZyRBFzXn//7lQ8RU9UZq4+QYdoJgeLzG1HF/1DA504XRJg/nLmZfEqvTP/PRjZz776FysKIeflOMQ2DYodBkePo9Xg+iMXdXyKglM+d4p1EcQC4f4D8/u4lHn/ih26EIIeqIJOii5szp7ORt9ixMVfklcMKqgDMMdtj7ZY4ZD8SYIkSoebCqj6lNb2cv5o5h7Kg/1hY3ct4oP500E1TG3ycbjLTGikty7gWhsCy3Vi7K8N5rOZyM8Nuf3e92GEKIOiIJuqhJX3rPe5i6PVfRxwgom8iOApkGd7ujl2qoMYSp3E+wug8JE5pWvVES7fEERlkO+CRBN2uouVrAz9UAeY0OId/gHhGQBL1sHv3bbIJB772ePd3eazYqhKhd8vUuatbdH/wEzVZl5qMr5dDSk2Ww1UdziA2TiHa/S65GsW1OjFBsuDoP6PEEHXaWurc3uh3GfhkF90/w1D1LY2jQAR+8seuEGZTPRbkMD8WYP7/X7TD2kEhU9oS/EELsThJ0UbMikQgXty4hULZSd02cHFMGUzRvz9I7JV6m+62ecNY7IxPJRT4ewawAI5nFO3+dsalC7fzNfNkoztGYuZ1LxQnPcBz5e5RT57Qht0MYZcHB3fzzhUe6HYYQoo5Igi5q2pXnvJ253RMf3TCVQ3MhQ2dvkmgyR4owvU1x+tt8NHK+G53CE2XuAEkVJtRU+QMxwydl2UY2j+5sdjuMfTJqKUH3W06V0xg5il30hac4BTmUKqeebQ1uhzDioAN7uPw/3sbrjnm/26EIIeqIfKuImnfn1dfSlkmXvH1EFWhPpejoSWLnHAaCUbqnJMgkvL2MWin622K0bUuDS2vFv1b+gMqfLPBTYzOzdxDb9O5uWdVQibtHzlOVJDDkoAIKp0a6z9caSxL0sunoHOD55zvdDgOA2bP6WHJCkoPmv9ntUIQQdUa+VURduO2t7yeqxp5/rdA0OFk6+1I09afJ6iDb43F6OhIQcr/zebn1dCbo3OHCeuRjGIyF0E5l58Ubea8Xjr9KJ6KYtnczR8PyxomdclC2f56LHTPQHl/FsZ5Jgl4+i4/ejG27/3pO7Rjiyo+fwL9e8m23QxFC1CH394JCVMGhs7t4Q6odtXPYLGhYtGbTdPYkCWQKDBsRulvjDLb4s3R9vLrbEjRZWbfDwNYm4c7Kniww895NeHenASfg7V2yYfnjtSyJT/JzldXo2jtPWFOsvJw9KYfDj3iFF5+Z6nYYdM3sZ9mFNocfusztUIQQdcrbR4NClNE3L/0gszZkaOtNUbAUfZEY3R0JCj5Z4qrc8kFvfPytTg0VHM1UBX+MoDvNcQJ9SbfD2LcaGkH3S4IeyPok0DqWL0iCPllvPuMZXnquk3Xr21yNY1ZXP2f+k82yt3/J1TiEEPXNG0foQlTJn67+JFaLAUZ9H1A19afJaG+cmNCWJvvWIQrteXDKn4z4YWkwDWgf5GE1NYIuRJkU8lLiMBkdnQPc86cFZHNBt0Phf275MP+07Ca3wxBC1DlJ0EVdiUQi3HDo2wgb7q8H7qYw3ki04uTJzjFRJjhHZ8i+ZYj8jBw4ZYzPBwm605ogMOiNvgD74qd52/vjl7JxO6R8M9pfr3K5+j7hO1mLj96MZbv/Gs6bu52W5tluhyGEEJKgi/pz1uuOZdH2CPV81KsNb3SDju/Ij/pZmaAXZsmdMUx+Xha0M+mhZcPjc9C1Am35owxfe3yO/Hho5Y3PwP44MYWRq999lR/kZQR9wmbN3s7A9rjbYTCrq58PfGSJ22EIIQQgCbqoUz+74qN0Dpa+9FqtMbLeSFrz0b3vgvSBOXKnD5M7LF1cE2siiXrBIvRK/yQirDyntYHAUMbtMPZLh4NsOneK22HUJVPmoXtaTprEjZPDG099jqOP2cCWzS30uZygNzdlWPmNqzlq8YWuxiGEELtIgi7q1u8uXE6cnNthVNWU3hQJnaO7s8HtUAgbBQrTStgFzbLIvWWY7JI02rTHlag3PN2Pkcnvf0OXaKXAw/HtooHe06ZjN7s/R7QeFRoVhiTp3qRtch6YO+0HM7p2cNrpzzJj+jD33bWARx+ZjWWZDAxEXY3riCWbSSS8sfa6EEIASF2WqFsdLc1cFD2Mb2efx6qDRYYbBjP0dUSwPfJc4+kCuYbSzxGqTov8aUn0gCK0OoaRM8ChWCMOoACligm80uRnFBiYHiCyLojKerPngNPWgLl9qOqPqym+XKXKzW9n4Gj3T+qUlTeKSEpjKJwIBAYcnIjCifijPL8exOu8n8n+OSw95QXSw1FWPzGTzZte26XdYWCwugn6tKmDnHTKdgb7bebMb+bM06UpnBDCW5TWfugdLMplaGiIpqYmBgcHaWxsdDscTzjpps+wqd3dM/gVZ1kkAjZJwm5HgkITJ090h0V6bnlPFjgZwAYj8ep15iabqV/YjpHyVrWENhROKIBZ5ZMHOhSg77xOjJRD0539GMnsPrd3GqK8dMUcML1xYqdcAkMOVqM/i8gCgzsT9bAk6m7rNIaI/9IbK2K4xTQsjjl+PY1NueKZPw3ZTIj+7TG2bmlm+469l7B3Thuge2tzReObM7uPbCZAwTKZNm2IY05yuOBdX63oYwohx9tiMiRBrzOyw9hTNpvluNu/yKAZcTuUiukYSNHT7H4jHoC2VJrs9OomRmqHw7TP9mF6qO+APaUJs3dw0vejAac5RvbQBJFnk5gDez5HbRrYLTFyB8YYWBbC6dz5+tua6AM2oQ0Owe4CkeeHULnCqNttes88sl3un9gpt8Cgg9XkzwR9F0nU3Tc/sB3n54n9b1hDpnQMsvDILeAourc08fLLbWQyEztJsfDIjTz1xKwyRzja9f/VygnHXVrRxxDiteR4W0yGtHJiKgAAvZhJREFUlLiLuheJRPjvI87hw8/+jpxTm3MJCzHvJCJmuvrnBHWbweYvtjHzSgsj65E53wULqyk+4eXVtKGwZjTStyxB/qhdo9sRondbtPxmAJWzsKbGSB4TI3mqiRqrLNpUZN4QoNiiLoROxZjy1TSRNf0o22HoddNqMjkHUDVwanrXCYbAoIPSxfeENnc+NweUo0fNZ3BCCjsmyXw5xVWeYbeDqKDZB/Qy78AdmKbD8ECUrZub2LSpmXv+dEhZ7r+ped8VPJPV0pzm8EMuruhjCCFEuUmCLgRw2pLFLL7/bv7ekkePa3auPyjHO9mIW5GouGLo9Daaf7XVpQhGMwdSxdHvpjhOwCCwo/TDfB0MsOPdHWSW7rkLz5wSIHNK+6jrSn1Hq7hi+3/EMTdFaPy1RfdpLSXH5Dve+UhM2t4rAfb8ywf7HQot3jlh53dRrJpI0OOJDEcseYVEQ55sKsT27gY2b25iw7opbFhXudUbImGrYvc9tXOID390Lo2NMyr2GEIIUQmSoAux0/99ZDkn3vxptrXvPmKo0Lw6CKV2/ksDjlaMr9WWe5SHGmK5+YoNnxsk8Zc4gR0TG7UuNwWowRQG4CQiOLEwqmcQIxhAh0x0yMSJBNAxE6vRxGoxsTpMMkcaOKV0wJ8ga7rJ5jOafPLuFuNhSzl8WUWoXIJZSZ3TBlh05BZymSBbNzWzbn0rD/7lwKrHkUxWrkLnDaf28rpjvlix+xdCiEqRBF2I3Txw5fXj2r6nf4CXt20jFgqTzud4+IUXmdnaRntDgkdeWoutbQBsR5OzCqzp3cxjbQUcXeU52B4ZQQ8YNslpytXEL3tonMT97iboGtANEQrTYhQ6gxSmGOSnKgozFXpaI5juJlFWTxilanyUtU7z1BqdxeOaiGO7HUJJAoE8J7xhHQFTs2ldG2vXtvHn3ze7HRaPPDibaKRAJlueN2ZzU4Y3nLqRWQdM5W1v+XpZ7lMIIapNEnQhJqGjpZmOluaRn193yIKRf79x8aIxb3PizZ9mc1us0qGN4pX5tvFCAavV3cQvdUSQxP3lvU+tQIeD6GixUZLKWai8BZY9Kg/UAZPk69sZPCuInuLNBNjJGRRSQWo9P/fIR6L6gmr86+yJvXqu0ErijUnagimSz8Xo3+Sd5QgPXfgKM2cN0rulkRee7+Qv9xzsdkh7sJ0Azc2DZLY1Tfq+DOXwvg8HOP3NPyhDZEII4R7p4l5npKuk+7LZLMfe/kWGqtg1vmMwRU+T+13c3ejgvgdbE3rGIbTeIbjVJrDDxhwqYKQtVNZCFSyUPXpOgA4FyB7chBM1MIccjIyN3WSSmxkid4hBboGBGqN0WKc0sUdsYo/nCW3Lsf3iJgqHeTfztdMmua0RlKqtJdX2oAFbQ6A+s1Qjp/3Z+T3vFP92Ye98hmZYg2SffTW5bGhN0tk2SHjQZvMjbWi7Ep8lh4WLNzNt+hCZVJje7gaymSC5nEk+HyCbC5DNBrFt77xO+9LclCnbWug/+eU/0952UFnuS4jJkONtMRkygi5ElUUiEc405/N/aiN2tUrdPVLirjIeiMNU5BeZ5BeZwOiySjtlYMYdjG6H8EsOgU0ao6AZeEdw7C7oO+3tNyquyLwxQOaNAaC6VRPjoTVYvSEKw6HaL20HjILGCfkwQS0TI+uzBN1yaH1aY2gDrUA5DlZYM3CggpC779ew5bB7H/LhvgTDfcVl1wIHFeiYOkhrIIXTb7L9+QS54dJPzCrTpqkjTaStwOxp20koh95tDWxY38pTq7t4anV5n4tbUunyrCNvmg5btj0pCboQwvdkBL3OyBk973jTf1/Hyx2VXsJKYyqHKd1pdkyN4mgD+zXN7UxlE8IhaNsE8g5mTqMV9DVFyzpXXqGJqwy60bsJoDVsEGjwUEe9KnBsRWFTBKeOJicHhjRWo48S1Aow09r7S65ZDi3PakzbADVGhQoaZWusSPWT9ZjOMT2Zpn/d+FY6CEXzmAEH03QwAzam6aCM4mGYUhrbMsnlghSyAQq5ALv21YcfsJ5Nd08t99NwXaIhQ3J48qPniXiO8983yL/804rJByVEGcjxtpgMGUEXwiX3XP0Zlnzr0/RF9j6yqtAYysFUGlM7mFpj2LtfQFm62KXdAW2BDhYbQRViYDUojJDBcGOQ0M5uw9p2IAeBjMYJgG4slmDagM2rB7iNW7LYUYNhozyl+BpFbIcm5eXvKe3xhKXMnLwi90oMqPGS9tcoNk2sr7/1Hjx+Hqr5GZtA3gBl7PVPpVBgKgIFaHtWo2yHQtRh8CADAmU8uehoWlSaxnweM63IDkTIDkfoZ/wnWPOZ8owW14rOqcNlSdDf8e7t/Ms/fbUMEQkhhPskQRfCRStfdx5X3f2TYnK9c2DbNsGOKOw4OFFQ5qsHmppdifTYS7wV+gIEW19d9mesQ1RlGhADez8V14XpBtp26NiQpLctXpb14Qfbwxj5PIbLZal7VUcJup0xyW2J1kVJ+ygaCvH6+TvvjZ1QqLxGe6zUv+F5i3DKBMMc1zmUXcl6MG/Q9nQxWc822iQPMMedrAe0TZuTIp63IWmS2hHDyscZxr0+Ho7LKztUSn9fhGDQplCY+EnCaVOH+JdlN5cxKiGEcJck6EK46PWLDuN13Uv489A/MAJ7zjZx+5BMmQapuQZta9Mkp4TI6smVQeecAG1bcmTnlCe+sgs4aIea72BuDwfIdUdQRo0/0TGogveSUrcEUpqCR16LxFqLyKAJRmDsM4vjsCtZj6QMIk9pcGyGZypynWPfcUznaLWzRDIOhaEQqb4Ylm5kcHJhlNWwXZ4mal7Tt6ORI4/cxBNPdE34Po44ahvBkFQmCCFqhyToQrhs5WnncvgPn0c3Zfe/8X5UaoXxzDwTI1NgSm+eHc2Tm5tu2t5texGIOxT6AwRbrP1v7FNWX5B8f7guk3MAM6OxPJKUus32QKO4yCabRK9CGyYYFYhHKTBNEls1DZsdChEbY0GepkKeQEaR6S+Wq2cIkyn/o5dNX3+iZg/YpkwbgicmfvtDj5hdvmCEEMIDanV/L4SvaB+syqyiBulZ0Lg1iw4pBgMTHdFxPynYl2CLhdUfJNBScDuUsnMKqpic13qJwF6YGY3VVJ/PfSxOTKFs0C60IDCGHVpfAG0aYFTq1OKrFAoMRSCvaN2eZHB7I7bln94LhVyAgNcbB0zQww/MJhIukM2Nv0IrFLRYvGhZBaISQgj3yJGKEB7w89Pfi5P3x8exMM3AalNM6U0RUeNLYk3l+OBUBBhNBeyMP/4e42Fvr49l1Maki8vJidHMVJVfFMuhdbVNy1oFplGxqp+9USj6t7QQjuSIt6Sr+tiT0dyadDuEihkaTLBw0ZYJ3fbEpeuYPu2IMkckhBDuqtMjNSG85ZApU1GZyRe0VHMkPj3fRIUKTOlPEVN52M9jNxcyJHIZ0vO8P2plGOBka2v3qG1FIV0/S6m9VnDIwfH6smIusBLVS9ITay3an1IYmFVPzF8rMxQjPRCibXq/q3GUqiGaRavaPcPUPCU17tu0tqR5/6VXVyAaIYRwV20dgQrhU2t6t0FjftL3U+2DXiNikJ5johodmvJpOranaLIyqNck6x07khTaFdYU7yfnu5hNFnaudnaRdl+wbkfPlS2d2/fKUNhRMHKVS/6C2x3aH3MID5tjrmfuGjtA3ysttHQOoAxvl4+vfWk6w/PCcFyBGW/upqFj/Amtl91753yWLNk0rtsccdRmOqYcVqGIhBDCPTIHXQgPOGTKVHTeQIUnd5Do5viKNcXEmlL8d/OmNHbcJB0I0rojS2qu/3Y1hgGFlIE5yb+JV6iwgx5y6jJJDww7FJrr73mXzFAYeY0z/mW99y3v0Pa0Ln6YTLfHzPduYGszTZ2DDPU14NjefZ9ox2Cwt4HB3gZUo0P7wYO0xFKE8zbpDVF6X25wvTJhoiwrxEsbmjno5M08f+/0kp7HtJn+OeErhBDj4b+jZiFqlC4YMMlk0Gyy9lgL3Q35ruKBU5gCqUb/HkSZzVbNLLtmNlpEoikKmyM4Tn2VujsBfyYtVVXms3tNz1oEc2YxOfeBwe4mGjuGSA7EfdE8TjsGvZtb6KVl5LrAAosDdC89z7fs45be0z53CHVggQ0bO9i0YQqtJwzSmR5my+r2fd7u0MOPrVKEQghRXZKgC+EVZThANkyN0WphDQcwQhZGuUfE6owzGCBQQ0uuGUFNaHYGe4dNfiCIMryfiEyaA3bM7SB8oEx5dGSzQ6Kb4nrmPjsvMtTTSLQpRShmM9Dd6HY442blA2TmmPC825HsXziRo+O4frZmm1m7dQq8+OqbpW9bE3000nVKL8GXNTvWNY2+bbjAG09Zx+uO+US1wxZCiKqQBF0ID7jm3v+HkShfIhhosHAshdUXQCtdPE5Weuf8Tw0KjITtl8Et99TgHlIpCLTnMdvy2MMB8r2Rmi57N3MaO+qzTNEFziTf6yrl0PacHlk2za8yg3Eyg9DUOUghHyI9ONHlJN2xecMU5h3YTe+LzW6Hsod4a4bWJYP0Fhro3dJMz2sS79EUm9Z1gILGY5N0tgwQydjkNoT50n9eIJ3bhRA1rQYPP4Xwn99tegq1r2OVCTACGqN178ug2WkTx7RllH0vnDyY8doZPX8tpSDQaGFE0uQ2R91ZDLsKDEnQS6InejRgObQ842A45s5l02rDUHcT2rBpm9HPjs3+KRnXWqH+P3v3HSdZVhb+/3POTZU6d0+e2d3ZwMIuLKxkEHZlJUiQoAiCgoooQckgCKiAPxAxgICi8BW/XzGACqwiOQgSdlmWZWFhc57ZCZ270k3n/P6omdkJ3dOpqm7dqufNa17LTHfXPV1dfes853nOc/amcFPWI7lXYaTJ8MOr3Hrbdvbfuv7ncnG6wuJ0BQDtG97xmc/xvhdegOvKFFYI0Z/6N20iRI6UddD1M5qdUgpKk9TkNrAcU/X6Yu/5arRvCHbXgTTroXSEHYCf4aYZi3XWH1pXbm0dm+ZYF9VL3dnbRBmHuf1DuH6+FuqCdOWF2W5STsrOxx9kbleJm27a1Za9/SbVfPebHq/4v3/O9OL85gcphBA9SKYuQvSAK5//av738a/FJK1Jblp3sF1oHq59g1OwJHP9mT3djM121M8T7Vq8sc0f89dzLCRyvNqqVMi69ot7s0eOTVvssWPTOsCmLsMT1ayHsS7VG8tZDwHlpJQeU+fHN59B1PDb/vhXfsPlV//sL9r+uEII0QskQBeiR4yXKqi6R9rUvPq8x3WtwZJyLM5oSjI7WJ29VzVgd0dnJMZ2Y1Wo2zaQGR40TrTG8p3IMHF1yvCd6kg5e/8/t6M75pk/lJ+GcUE5ZO7OoUzHcDQ433/HVEev43ntLzu79s7reeU/vIckyVfVhBCiv8gGHiF6yI9/pdWV9ht33MrY9WPM+gtov/NBk1LgjsckCy56KJHmcdBqqjdAlAavEpHUClkPpX0sueskngW1hltM3o5N2yyLZWLXHDP7x7MeyvpkfNsKKiHuQ+KOB+cAnTiEopmEfPNrmidc9//xC48/l5dc9tz2X0QIIVYxGO+0QuTMT5+xl28+7xX8n4f/CiwEmEUPb6GMs1Ds6F51dyTB1B1Mf25HFqvQw/2VNRqwNZaNO80iRmG/YfJqgxe5fV/ODhAMNfDKEcohf8E5kMTZbVfa/oBpFvcG7L/j9OeXt8v+W4Z59f/987Y+ZslvLVAuHq7wfz52D099+1v51o1Xt/UaQgixGmVtt1tTiSwtLi4yMjLCwsICw8P5KdsT9zr/X9+GU+hsVj1ZctHlwc6kJ7Me7mm64Pcja6Fxa6Vvjl1TicW6/R9Ubpa7ZEmGTnqeIsPkdQqrGIhS9qPGds4ze89o1sPYlOHbGijb3Z9ZUAmpnedRmy919boAlz3e4Z3PfcWmHydJEp7/vndwyw9PnBs5XsI5FzT4y197BZPDo5u+jhgMMt8WmyEl7kLkyGX/8kF0wWAijXJNx7qMu0MJyYILA1zurssx1jAQndyPUgrcQkwa9snZez2wpb54R0p5WrWeXMUaSpBX+YQNLamfVOuvuPfvCkgsOEc+zx73+c4gheZQHqvlPjgHGL50ieGlkLu/O9mVxRWLxXtoRO32Np8VukbX3jBLkiSbOnbtwPxhfv0v3s/hO0/9HtLY5YZrhnjmmz/Igy72+KNffDGj5Wy+VyHEYJAM+oCRFb18O/+f344OUj7+yN/i2V/4e9RIZztvJ/Me7uhgZZGPlyy6uH1W9r2adNElmu5+FqwTVGSxfjYhZuHulMohhdWq9zPQ1g5E+fpqRrYvMH+wfwKvofEau8enmfvuMPW54rq+tjjaZPKCRVRgsbo1TbRLmrlbKtROuj9sf8Ihrr9pT9vGvRGV8RoveNr9eOFjn7Wur7v2zuv56Nf+m2uurbE0s7bu934p4oxzQl799Gfw4LMesJHhigEg822xGZJBFyJHnr7tQVxx4A4u3Lad3YVx7uZAR6/njsYkcx7u2GAG6dpLsCmoATqFTpcT7CGD6oPSCeupVna4i2XuhQOGyj6wjgbd86E5IL30AIYml/oqOAdYmi3z49kyeipl58UzDNeb3PWdqWXL38vjDSYuXKRe8JieH+LAzAgHlqsmGIbKGTX2TM4w/90hxh68yHU3ndH5b2YV1dkyf/evN/HLj4jw/ZWPdbvqtmv59+98lRvvnGXusMvSTInWq3/tR9NFdZ+brvV52XVfYMsZ/8azHnPRuhcGhBDidCSDPmBkRa9/vOzz/87Xmj889vdOJsHiOQ9nJB7Icvd4zsMbsAWK8I4iJu2PY/fcBUMy0vkXrn/IMHwXWCcHGfPjWGOOLCTkZ8ztZrEMbamxNF3JeigdV6g02b19Br1PoXcm3HL3NtLEIY01612m8YKYOHTX/XWdtPOceT71+2879vcvXfctPn3F/3LH/ioL0wH1hfVVEqxVaaTBxLaIB563nZdc9gtMDXenUZ7oXTLfFpshAfqAkRtGf3nHN77ALYszPOWs+xG4Lq+75t/RQWc23qZ1B7A4pR7Y2NslxoBNgFThFAfnVpnMeMQdmsh227IN0NrImzaM3JG/wPwoG6cob4BKRJYxsnWB+cP9lT3vBr8YETVWzlZnZe8FiywtWRZnCoS17vfTeMBD6nzkpW/u+nVFb5H5ttgMKXEXIsfe/NOPP+Hvr73yU9ChAN0ppVjT6m6uR/OdTTcRmIbbagJ3tNzTseBYlGtRzpE/CrQPyYIDxcHZi66HE+y86Ytu7mmH1hlU3TDxk6PN1HQOQ/MWnVpsfxRLbJjjD86iYzs5XgqNrEdxqluvyy4YUsrykic9LbPrCyH6gwToQvSRgvGI6Vw5ttLgjsekdYckAV1K0Tm5ixgD6YKL8sApJbgjawu404Ze8+f2C+1Zgu0Nwv3F3O9Ft65C1y2m1KYQOjGMXWfQxgGn9dyoZoIt5OQX4RR5XVpon+pcAaUststHk+Wd48nCxslGty1J4zghxKble+YlhDjBux75VGza+es4pRR3OEU5YBJF2tQkVYdk3iWZdzErjMGY1p9OMAkk8w7xrEey4JIsuiRVh7ThkIYajMIbS3ArybqOTjONwbxNOqWUYHujtUc555ywPdsThm5ImPyhwrEu6riGD9bPcYm4xKRE1SJj2xeyHkbuOG4X3mxy5vxz195sTgghVpLXJX8hxDKeeM59edW3PdRwd5qaKQXKteCeGABZA2nNwYS61bjOsyjPoL3W2e3W0jpy2apWC2nT+q9NFCZUOMPJscy8MUAIJnJb51q7Bh0YtA8mBFPzUEWDLqS4oynQvkmjiRXO6GBlz4/nlFOCbQ3CA/nOpKebzJ4fPTIN7S4f0GqV3yy6BOgANBd9pJ/9+mgn/4t37aTdlFc95ZeyHoYQog/kcDYhhDidAj5RB8vc10LpVnDnlJcPlpUCFCiOBvZH/huAUwabKtKGunc/eBH0SXvArQHlgxt07ntNq+7AdXA/mVNJCbY2CQ8Wchukm0DhVC1pZX3Bl7NoGLvp3iPTTie3WfTB6X14Wo3FEmM755lb7mgxsaygNNj3xpNN7Khy1lS258ELIfqDBOhC9JnU5j+roRy7atf0TvcvM7HCKcsEFMAZSvBNk2i6kNvGcWo9vxaRYeJHFrQGZ4292bVCN1NMIV+BurISo0PrqDWt5ZlYK+2kzB/s/2Pp1mNkNJ/3RiFE75G7iRB9ZsyTPXDtkFYddO+dIJQZdyTBHwuxOV0ASioKktUDsLEfpkxep1DaWfexaWmgsWm+nh874OG5xTKydYHKRJ2ZfWNZDyc3tuydobnUH0cxtoPjJeycHMp6GEKIPiEZdCH6zELcg+fe5Eyy6OKNDe7e85W44zG4lnTWI02dfGXTNXgLlnhs+aC7cmtKYV6Ddja8DVkpBcZCjpLog9y4fGjLItZqOQN9nbaefZgDN23Jehg95cKLY97zK6/PehhCiD4hAboQfebM8jg3Uct6GLllEoUOJDhfiTuc4A4npE1NtD9fJa5J5UgAfdJ+8snvpWvaZ74W1ms1jCMnDeNsjs9w34zK5BJLM0NytNo6BeWQg7dMZj2MnjKxc4EP//YfZT0MIUQfyVH6QwixFtdH+7Gm1URNrF+66KCDrEfR+5SXv9Jo6ym8hRPHPXF1Cs76y9lXolAQOPk5nk4PXpm7E0REoS/B+QYUKiHS6f5EP3/J+VkPQQjRZ/KxxC+EWLMgDtjljnJLdAinIpng9UiWXLxxec7WQvViUJcYCgcsbmjREWijUKlFGwWm1RCtdZLW0dMFVCtz3m5KoSODzcFCj9Iaa+3AxFwWS2W8wfxBKWvfCL8ojTOP8osRl15S4SWXPTfroQgh+oxk0IXoMz/41dfzmV98MU6ao42wPcAkCu1JcL5mvRbQhYbJH0Bl2qGw5OKHLm7s4BgXhYPSDjgOuEf+6zjg6LZlzk9mAo2Nlz9msNf02o+ykyZ2zUtwvglKOt2f4IkPfBhX3vqDrIchhOgzEqAL0aeeuON+WJlLrYm1YKoaXch6JDnSQ1GdN22Y/LGCTmTDN0ihWk3j8sAMxo2iMl5l9oAE5xs1snWRQ7fK/vOjoobPq975DV7x7s9x9+z+rIcjhOgjvTObEUK01Z9d9vOwJOeErUU65+GO5iPb2SuUoieOXCvdljJ8l2oNqMdYV+ViL7pK+z9A135MnLpYI9OejXCDGMeTe+RyktDjhX/yd0RRlPVQhBB9Qt6phOhjH7nkudIsbhXJvNc6Pkysm5vxloDRH6UUF3TPZqoVCh33/i+g6v0hbtrwVI3mkpTIrJfShi1nTeP6MbN3yznxK1k4NMTT3vbH1KN61kMRQvQBCdCF6GOP2H0WNu3N4CVrNoVk1kMPS3C+UbqcUUYtMUxeneIkndtD3i4daULXZmnvD3FTymM15u4ZzXoYuVOohIxsWeLQbZM0l0pZDycXoljeT4QQm9fnb8tCiG439bEW0nt6u7Q+rTnYUOGOx+gN3gVtqjChxkSDextVWQToR5rBodt3NFon5aLM3VV9fdSaX5agaSMq4zXmZc/+msWRw2hZni8hxObJMWtC9Lsuxo/Wgr0toHhzgYZncSY3PzG2BkzTAWVRmlZzMtU6Fkod+S/HbUE+oTGePfG/1irMooseXT0wtynYRGNjBU2NaihU1UFXFXpJ4yT3dsmPhxOSM2LUeIIOejwYayMdGLRKMLY7byXerGHkDgVO7wfmRykUKkqxhd5dyFFatxrF9e4QN8wrhcwfHM56GLnk+nKqxXrETZlSCyHaQ+4mQvSxajM6cu5z569lU1DXFwn2tbLn/tUB0U+nOMWNBazWgpl38X4UEDROf6tKMRz9Rp1VoozUTUlHPcxoiq0YKFiI1ZEAXKOruhWAx2s/ps5bdPF+2BpjPHQkWJ/o/2BdKXC3NwnvLrWCvA4q3ZZSmtc92QxuNXkoc1eJwfr9dzTj0ESdmX2yd3oj0nXcAwU0az6HF6eZGpZO90KIzVHWykFMg2RxcZGRkREWFhYYHpasQr979D+9j7nybMevkzY03tVF3NqJgXTqpcSPqKML6wtU06qDe10BbyHfa4hx5d5gXQUmj7HlmsSHfJJq5xpwjf4oH/vNV2KtBWs7voixGTZKwc/vc7wsneIVU6JGb2+56UVKWbSbkMZe1kPJlXMfsMQ/veoPsh6G6AEy3xabke/ZrxDitDq9/mZThd3v4f/Ex+HUbIsTO9jvlEgeUV9TNtk0NfqGgOLB/phQe1UX77rWbTZVKemkId2WoCZjtNc/a6PuVIRSEC347Q1CE8PEtRZ0vgNHpRQqTHq7zN13+q7MfXT7InP3SPZ8I0qjDWpz0hhuvebm+rtqSgjRHX30ViyEONl7HvM0OhGjm0SR3uPj/k+Zwk+KywbnR7mRg/utEqa58u3GJAp7UwHv62X8PgnOT+ZYB/+wR/GHRbyvVuDaIumC2xfH4CnVCtILe+pop00NuY40g1M5aQa3qh7Onh+lcnAk3FpZLFEzyHoYuVWohFkPIZdqCz5f/NH/Zj0MIUTOSQZdiD7maN22smprwNQd9F0+3l3OaYPyk7mxg/pWiegR9VP2pKcNjffdIu4ANdhx0DgHfDjgk7op8dkxbI3XvRWg12jf4O9pEN6mset4fZwgMYz92OCkTq6awa1Gmd7vk24cBdi+WBAZ3rLE4rSUlW5UfaFI1xqY9JHGYpF75qezHoYQIud6f0lfCLFh//e6qzb0dTaFtOGQzrmk+3y4poT75QrFb1UI7lq+nH01TuLgf6tE2rj3tpPOufj/Wxqo4PxkTuJQuKFA4etDqO+WSGc8bEbHi7eDUuBObCD7FhkmrkmZ/KHCMW4um8GdjsnBt6Ncjcr3GtExjtvryyG9rbFYYGLXXNbDyKWPfvqHWQ9BCJFzgzsrFmIABHptv+LpogvNVhdz55CLs6hX7Ya+EU7aCtKjRzRQh12KN3SusVgeeXMe3vc8UpWSnJlgzwjRfv4CDWc4IZpOUWptCzmqZpi4QbXKwHMQyK6XxYKnc/Gt6chgCvnu3m11yuJMJeth5J7j98lqTZfVFwKe8c638sk3vi3roQghckoCdCH62E/mDsCRLd02VZhIQ6LxjYuLg8GiFxX8UGPd7oQPTqIpfLGAKsrtZyWOdXBuc0gOOCQPr+euoZxS4DgGY1YP9FTVMHGjAp2H8HVjlCUXe9ABUi//Ze7DE3UWZ4ayHkbuLR6qIGXu65fGLtUFh8XGIsNF2WYhhFg/mSEL0ccONqtYB9xqkcuf+pucOTa+7OdFUcQvv/Vj3Do/h+3kvl9r0U2LkeB8TdyGi/1uCfPwGiof8d0xSltYQwJu4kb6OjgHILXQpQWwzVKOhsTkZrzL8QptalQ44JrVApNnzDJ9x/LvG2Jl8weHeOenP8o7n/O7WQ9FCJFDMksWoo/9+1N+jW/tu51fvvDi036e7/v827t+je/dcBcvfs8nMH4HJufHgvOcRZoZ86oujRkPZypfQYcupaSLq3+exfZ9fs46CpUYVGrBGqxSWN2qGlBO7/0+qNRg3d4b11qFDene3i7akTL3jbruZmkWJ4TYmPy+AwshVnXm2Piqwfnxfuo+u/mfv3g5ftT+segQCc43yLve78hxeZ3kTsZ44w2sOf0Ef/Y8Re/3N98cpRS4Ghs42IIHgYvynFZwbi1EvdUV0Hgam7cX3BFuIaI6K+d3t8vSdBn6/PezU2qLkgMTQmyMzJaFECeoVHyu+LtXMWzbOLmwFqNlkrdRbsPFLORvsueOxhT21PF3VAl2VQl2L+Fvr6H1vdUAtqJbmeVBpRTW0xAmWY/kGKXz0dBuOZWxOrJnun0ai0XGts9nPYxcCute1kMQQuSUBOhCiGX9zwd/B69NmXQdAr7cbjbDvcnPeggbon2DUzBo36A9i1NMCc5s4G+r4XgRkLI0Zfo+i346Sils4KCavROk55VyBvd11Cl+SV6XGxGU8rUtSQjRO2TGLIRY0Wf+5DdRySYnvNZiZNIsTuKUUvzdTYp7a6ifrpMEg73XVaFax5v1WLn7ZqhqiDvXQC81u3I9i6W2IOXt7VadkTL3jSiU+ud3WQjRXRKgCyFWNDVeYWupvKnHUCngya1ms0ylfyfINtV4Yb7P3m4H1UuHm23y5aYXmpghn3BbiXiigG7GuNN1qIXtGd8yRrYuEdakQVy71eZLTJ05k/UwcmdsTN73hBAbI3cPIcRp/d7zfmZTX68kidAWdqh/n0i7KMH5UbYPFrOcuQbJWIA5uq1FKeIRn3BnmXS8AHGCO9PAmW9g0va9rqW8vXMcV57b9Zoaq2Q9BCFETuV/JiCE6KhHPOAMNtNCXBmZ2LWDLfbv8+gclAD9GKWwGZe529RgN5jKd2YbxFPF0y40pBWPcEeJaGsJW3AgTXGqIe5MHXe6jqqFq3b/X45JZErTCUpZqnOFrIeRK6XRBn/ynN9Z9mPVZp0bD9wKwOs/9pdUm/VuDk0IkQP5awvcx77+9a/zp3/6p3zve9/jnnvu4ZOf/CRPf/rTAYjjmDe/+c3893//N7feeisjIyNcdtllvOtd72LHjh3ZDlz0tXf+w5dBbbzw1sicuT0K/blH21oI7pAA/aheaJanjcVu4Hx2d6ZGuK0Meh33C61ISy5p6cTpiEoMupGgGwkqNqDAuArjO9jARelTx6d1f/6OZG185zwzd49lPYxcCYoxvt9q7Hl4cZo3/8vfsbAU4nuafXdB1PQY39qgXnOoPE/6JgghTiQBeg+p1WpcdNFF/Pqv/zrPfOYzT/hYvV7n6quv5i1veQsXXXQRc3NzvOIVr+BpT3saV111VUYjFv2uWo24/MqfgL/BAN1YrJw00xbKyz5w6wQTarymBOhHqdSCn+Hz0UwwBWfde+Hd6TrhjvKmFvOOZ11NMqRhaJkbiLWoxKITg4otKjGoxFCbdynsadKsri/b67gpbpDgegmOa3CcFK0NCgsWDJq5g6NYq1DKohyDSQbnNaud/t1e0ymuZ0mShI9/93N8+N+/z9JMGTixP8L+asA591/MZoBCiJ4mAXoPedKTnsSTnvSkZT82MjLCF7/4xRP+7f3vfz8PfehDufPOO9mzZ083higGSBRFXPrK92OCjU+4dQwmkBR6Oyi3P7OD6oCs4BxPxWZD2et2sKlBBc66W9W503XCnZtrJrkuSmE9ReppKJ74oS2VwysG6FPbpklihzTVJIlLnLrEiUeMSxy5FG5ZYmn38LJfWyw2cJyUerOI0papyRkW5oeImvk8/nCtSiMNDt8xkfUwcufwncM8+iV/QZo4wMq/Gxfu3dm9QQkhckMC9BxbWFhAKcXo6OiKnxOGIWF4b9fcxUVZrRWr+8b3b+FVH/w06SaCczi6/7xn+lLnVqpTVB+uc1gLhevlbegYa7GFbJ4PmxqUUuvKgFtj8ObD7gbnq0jjlTPbs3MjxGblgDotrPy1jbgIR461Nsbh4MwkWiVMbplhqVbp2+7xQ5NV6gvF1T9RnEQdCc5P9ymWX37UE7ozHCFErsjMKKeazSZveMMbeO5zn8vw8PIr/gDvfOc7+aM/+qMujkzk2c+8/AMsRCHGZeNl7cfpz6Ls7rNuK5htU/VwzzBLLl59cEqFV6NC02qa1mXHgvN17B23xuAuRYTbe2v/bBwtP60JSiGNeOXSdxUb4on1lcYb63JobhJFytTUDLVmmcZSfzVTqy/258JDL6iM1TlrSqofhRCn6sOcTP+L45hnP/vZWGv567/+69N+7hvf+EYWFhaO/bnrrru6NEqRJ+/8hy/ykU9/m7k0xHjry6KJznMjB3Oo/0rBnTtkjfgoi2397nX7uhsIzgG82SbRlt7LrNajU8c0PLlEqVg77dd5cyEs03huLSwOh+YnqTd8JqZmKI30R1fu4akllg6vnAAQmzM6EWc9BCFEj5LZUc4cDc7vuOMOvvKVr5w2ew4QBAFBICvg4vQ+8c0fYr31T9JXJXF+2/jXBcQTCbpPziM2iaJ4k2TPATAWFacQdPcteaPBOUBS6s3pQ2I8tmyfRlmLSRXNZsD8wupBpmrD0XZWORyenwRrmZiYIzY+1bneKf9fr9Jog8XDQ1kPo2/t3T2a9RCEED2qN99hxbKOBuc33XQTX/3qV5mYkMYtoj32jI5wR639/Qk2epayOJWTOMR3+rA3XP2Tc8DWHVwGO0C3WHRoMJ5C5Sg4B6Dko8MUE/Tez/DQ9OS6Pl83U8IdbSzVV4qZxfFWoD42T+o4LE7nK9BV2rA0nd/FhTx4xsN+OushCCF6lJS495Bqtco111zDNddcA8Btt93GNddcw5133kkcx/zCL/wCV111FR/72MdI05QDBw5w4MABoijKduAi9x7/0Pt05HFVfzYez4x3s0861yfrqk5/VAJsWGogMtjAWfZM706yySaD8yOcan+U6PrTjQ2Xt5+WUsxUx5ifH2JkdIHRqfw0ad26d5pajrP/va48VufR5z0k62EIIXpUn8z0+sNVV13FpZdeeuzvr371qwF4wQtewB/+4R9y+eWXA/DABz7whK/76le/yiWXXNKtYYo+8+5/+BL/8q1rwW1/utsUVKvxlRy11hYOmuJ3y0RbYsz9mmg/vysgyrOkGJxBWye2R7LmBQeVQfLZRinK023pM6HD/J+PrRJDNNrhbWBKMVcbBWBkeBG3mDJ3cLSz19yEid1zHLh5Kuth9LXJrf2xuCWE6AwJ0HvIJZdcgrUrZ5VO9zEhNuqT3/xRa/95JyjVqtMxpjMZqgHlH/JID2nin6nldk+69g31h0YMXdlfXa+XY7Go1KJig/E1JoNO7QCECcp32tYE0vbBr3RwT53m7krXrrfQGIYGDA0tEZRjZg+M0kvNOsa2LzB/oEIvjakfXXTujqyHIIToYX3w9iqE2IzHPmBvRx/fegrdH9ume4qDg6313v7f9VA7I2rn9u8WHYtFhSkkFhyNLbhdL2c/SjVjbNC+4BwgHvbB5HOBCFp7z5vbs+lEv9QcYnpmnGKlzsS2WbSTfTXMxK455g9WSOP+OzGil2jH8Js/88yshyGE6GESoAsx4N724ie2DtnuYIWGCVRrz61oKzWb8wBdgb2gSTiZZD2UjjGeQrnZvtWqZoopuKg2Z0W14+LW8vuz86Yb4Gb7O1QLKxyemUB5CZPbZnDcbLYNTJ4xw8zdI1iT73tKHoxsqbJtVLYQCCFWJgG6EAPO932cGHQMTtShIF0rHMmit517V/53KSkN0cOaJE7+9zOfTKHQUbYLU6qZYAq67cE5gDUmtyc1+AfrhLu6V9q+mjgNODQziXITJrfPoLv4+1AaaTB9xzgyJeyOrdvkeRZCnJ7cJYQQfO0vXs5f/c4zeMFlD+7YNUyn9rkPMLfpYpr5v43rwFB/dH+WutsMs+fWHOkS36H9xN5sk7SSv3Jo3UyJRvysh7GsKC1waHoSx4+Z3D6D0p1f4CmP15A9591z7q4tWQ9BCNHj8j+zE0JsWqXi88gHnMXDL9zTsVJ36ynIOJvYj+xSf5SkOhMxtfv1X5BuHYU12bzudWTbuuf8eKoaEm5r49nhXeRN16HQ29UnYVLk0PQkfiFiYvtsRwN1rfPbRyCPLrnfxVkPQQjR4yRAF0Ic85ALzmR3eagzQbqcQtARqto/t3F7XpNwPL97mpejVDZl7q3seWdeG9YYcDU4+cu6+ocbhLuGsh7GmjXiIoenJwiKTSa2zYFq831UWebuyc/zkXduEPPIcyRAF0KcXv/M7IQQbfFvf/wCVAe2P6oU8OWW0256qX+eU6UhfFD/ZdGzCGR13LnsuTfbIOnREvHT0ZEhKeTz96UelTk8M06pXGd82xzQnkC9PFonqvf/UYe9ojzaxHV7u3pDCJE9uUsIIQCIoojHvPyDRJiOnIuuEot185dx63V6XtNPGwf0cEJcSvHq/VG6D93fh27TVva8E79tqhYSbSt34JE7zFrcw3Winb3TGG4jqmGFatg6R90vJcwdHN3U4xXKEbW5HP48c2pouP+aYQoh2i+fS8lCiLabXah1LDjHWIzE5h2hmhrbRxG6UtC8X5z1MNpLKQi7V7qvU9uxru1Ka2wOS9sL+2q5D86Pt9QcYmZ2jMrwEqNbFjb8OF7QZ79rPW7HVlkMEUKsTgJ0IQQA26bGuPpvX41K2rzH0Vp0aKFD+2EHnYPGxn323G5LSPuqLqC1F71bOpWx92abxKP5K233FiKaO/LZ0G41i41hZudGGR5ZYHRqcV1fO7lnlgO3SEfxbnrk+ffLeghCiByQEnchBAAXv/jPQYFtx9w+ta09sBZQYIp9FkD2GFtzIOifgFb7hmhPSvHO/nndWE8fy0B39DrGgO5A/rwZE20ttvtRu0JXI8jhnvn1mK+PQh3GRuaxnmZx+vSN34rDDRYO9U9FQR44bsozHvK4rIchhMiB/pn9CCE2LIoirEtrj7huw9TeUSjTCsxNTpsy5Yl3bYBN81d2fDrxOX1WeqtU69izTl8mNh0pb3drcaZnum+UDlPC7f2ZPV/OXH2U+fkhRkbnGZ5cWvZzlDaUhhvEzf5btNBOSnGomfUwllUea1DyB+e1KITYOMmgCyHwfR8vVsRtnK+ZQEFqwMnfpD5v3MghudVHnRtmPZS20cMJcSHFa/ZRs7gunGLgLEWopSOd8C1HjuU6KWBXkJRcKK7tF97ECdFUPrPn3kyTcMeA7ftVirnaGACjo/NoH+YPjRz78JazZjh4y1RWo2sb7aZURhr4fohNoNkMqDZK1BoFtmydZnZmDJP0z/1DCDE4JEAXQgBw1pYxbpyfa9vjWUfhNCxpPuf1uePd5hOVLCpR6HmNrmnMkMFUDLZsoGhRvkF5BtUDaybWgIk0xApihQo1qqnAAAaUARyLasbYgpf1cNtDq45/P0qrNWWM/UONNf9u+gsR4c58Brkq7Z+tHxsxXxuFGowML+IWDXMHR2hUg6yHtW6Om1IereN7ETZRNI4E4/OLQ8Bx5fxH1qIOzU5RKVRxfMvSbG+U8sehTLmFEGsjdwshBABPfdQF/Nl/fqM9Je5HmE50hBfLctAUrzsp4qqe+nkpBjNkSC4McYa611n8hDHUHYIrAoK51d+CbAGwFhUajKdQOa/IsF5nM3prLUOPxwNoJmjv9D8DY1LiCTknO+8WGsPQgMrwAtp2fqvFZjheQnmk0QrG4yPBeLPE/MLwiZ+4yttLNaygwpSpbTPUamUaS8HqX9RBUUOm3EKItZG7hRACgIdcsAf+q72PaV0FkYEulPaKtXHQOEsa79su0c4Ic24T7Xdnwm4t2Dt9yt/zcdbTAkUpbMEBbOtBjEWlFmUsFjDekceyRy9ypLIbi1UKXNXx5mxrZR2FChMIOvP2a4K1LQBYVxMsNEgmTz8OfzbMbfZcnKraGIEGjI3OkeBTm892T/QJwXgCjUZhQ8H4SiwOh2YmAdB+QqVQJ/AjlAupdQgbAfWlAtjOB+5p7LJ/7iA7xrZ2/FpCiHyTAF0IAcB9ztiKjsG0uW+QTumzA7P6h7/PJ93nEF0QoXdEdPIkMBNp/CsLBIc2/rajUK2JuqOwTiseb/376b6mxXIkcG/9pZWVj21rXr7GoLYdFKqjfRnMOo4zNOXlS+3VUogTpqQVL/cN1tJSn2yPaLO52hhbxqep0b2fr1+MKFaaeE6MSRSNRkAtLLctGF+NsS6LRyoJjqfdhEqxTjMskISdfb18+ntf4SWXPbej1xBC5J8E6EKIY372onP4wo9uxjrtmyFZV8rce5mDQ/G6Is0U1J6oI9dIZz1K3/Bx0+waNh0L7lt/AVpBPnBvVj62GA3K73QZuoI4RbW53N2kKba49seMRzyc+QgTOHgLrQWaZMQnmSyQzeaH9otHA3Q1xlQkUD+F6kzljBvElIaa+F4MxhCHHrVmkWYS0Jw/af97D7w9GFqB+5bJaabvmejotT7+2Zt57iMWGC2PrP7JQoiB1Rs1f0KInvCulz+t/eluucvkQuH6Iulse4MYa4DrCwx/rZhpcL4q1cpq24LTCs6thcS0StE7cTkUTtr+x3XrMesqg1AKfAd8TbS9RLitRFrss3V7R+HEBozU8Zxss7Gx4yUMTVSZ3D7L1OQhRsfm8YpNotRjfmGYQ9MTHJqdYq42SpT2fmO6+fkK2u3AL+ZxqrNlfvtv/qKj1xBC5J9MnYUQJ1BH9/G26/Hi3m5IJO7lXxWQ1tsTSJtY4X2jRPnHOTxrWSlwNTZwwVh0M8G2OcAzbaxSOUpH6x9jWnZzeb75esRjAcE9jdU/ccDYNYbo2k2pjNeY2DbH1NYZxsbmCUpNYuuysDjEoekJ5n9cYbY6RpgU17dI1EOipMD41HzHr3PrdUP87Vf+tePXEULkV3+/Kwsh1u17f/dqXv6ER6DbEVjbVsmwyAcHB+/KImltc0G6CTWFr5YIZvogG6sVpuC2jkiLU2zUpgxbBwJ0ZC1sReGOEoU7l7IeRm856SWotKE8WmN82xyT22YYG5+jUKmT4LC4VOHwzDgHZyeZqY7RiE8MxE2fVF4sLZRRurPVFtYqPvafN7N/7mBHryOEyC+ZOgshTvEbP/8IfvYB52z6cXSMdHDPGTdyKH6zgvpuiXTBXXcxRVp3KH6xiFft4ZL2DVCo1hFpvobUoJqbK3+3mrZn5TsS9PcLpWjurkiQfjwDE9tnmdgyQ2V4CePAUq3C9Mw4h2YmmVkapx6W15QRN4X++H1vxEXGtyx0/Dr1+SK/+q6/4YZ7bun4tYQQ+SMzZyHEsm6+e2bzD5JKSi+vvDmP4hVl9LfLpPNrC9RNoih9pYAb9cdkfTlHu7DbgtvqBN9Msen6A22F2lBJ+umYDp+xnntHg/S7JEgHODQ7yeHpCQ7PTbLYGMaywddPkpJ28SSETmtUu7MtZ+HQEL/9nn/iylt/0JXrCSHyQwJ0IcSybpud29TXq9Rier8vkFiFV3UpXlnG+VaZdNY7baCubwz6Ojg/xdHz2R0FsVl/+Xub9+r2Sxazo5SiuauCO9vMeiR9IzjQ6KvqjWpYYWzrfHeuNVvmte/9L/7h65/qyvWEEPmgrG1jNyjR8xYXFxkZGWFhYYHh4eHVv0AMnNvunuZ5b/8YDSfdVAChGwZTlDXAfpMUE+L7RujxGHXcjzetOZQ/X8QZ4HVfi0WltrVXvbCGjvipaeuZ6EZbrDe4z/96+AfrRFvzfcZ7r/APNYi2FLMeRluNFBdZWhzq6jXLo3W27U54ysMexHMe9mRctz/29Q8qmW+LzZAAfcDIDUOcThRFPPJl7yf1N5kNsbZV3t7n3aEHWRKkxOeH6KkYFHjfKBFMy4TyGGPRkSH1FUqv8Htgbduy6CaMscM57JifFWPRtQgzJGU+m2IMKgHbh71GxkYXWDiczTypNNLg3PPhb170BgnUc0rm22Iz+u+OKoTYsA998juk7TgK2yDBeZ9zQ4fiD0q4/1PBuaYgwfnJtMIUHJRSqGiFfepKYeP2dIXXG9gHP9C0wlvqzDn3g8Q/2OjL4ByAJLvfqfpCkR9cUeQX3v02kkRep0IMmj69qwoh1iuKIv7+K1e1JaPX4VNqRA9xYofizRKcr0gprH/cPvWTAnKnTae22YIHRgri1iPcVsI/UMt6GPkVJqTD/VuBMLc0ytB4NdMx7LtplF//4P+X6RiEEN0nAboQAoAnv/bDWLdNjX4kQB8sun8aRHWKQoGnwdMnZNRNm5prKa3b3hW+72lFOhRALBnKjfAXYtJyHy/OKYWr4qxHwU+uKfNP3/6vrIchhOiiPr6zCiHWqlqNmAmb0LYA3QIStA0Kq+SnvVaKVkZdWYsOU1JHte2501EqndzXKS27FO5aorm7uw3B8m5QnrOZhTEqIw3qCxk2wbOKH91xKzzi3n/aP3eQH951I7ceupv9s7PMLlVZrIW87unP5gF7zs9urEKItpAAXQjBz73uQ+3LnovBEqYoKcZaP6UwgYMyFhWmYC3G1ys3lFsDyaBvTDxWyHoIuaLnmoTby1kPozuUoujXqZNtl/rrbp7mWe/6A+amXeoLBdLk5IU4D/CInhplMTwhRJtJgC6EwHU0yPZVsQFu04IkbTdOK2xw9Am0rc7upnVcG8ZiXI1aY8NFFbZpQ/uASSse7nSDZLK/jgrriCRFa00yQE1Ap+fHKJRDwlp2++333zK6ps87b9uZHR2HEKI7BucOK4RY0Uff/Ny2NpgygQLJ5g0EJT/mtlGoVpNGR2N9B1twUa7GWgupQTXT03Z9N/3aTbsLTCDP3aqMwZ+NSEYG6zg/i8NQJdtmcWvheAnDRTnOS4h+IO9IQgje+refbe8DaoW2UjI/COSn3HnqaNBecFqN5qxFRSk0T2xullZ8tGTR100lRs5DX4PCPXWiLYNZZTA9N4pXyL5h3Ol4BWl2KES/kABdCMG1+w+2vRO38QA5m7nvWeng3lVHs+zWd6DgtkriE4M6Eqy7i70dRPQipymLGqsJ7q7S3FnJehiZMdZlZHQx62GcluvL61iIfiEBuhAD7ktX3oDtxJ1AKxzpV9P/lATomVIKXI0tuK1FtjTFn2miYlkcWystAfppBftrhLsGNzg/am5uGMfr3Sy158nrWIh+IQG6EAPua1ff1LHHNtIZvu/JTobeoVCkYyXSSoBKLP6BOsGBetbD6nnGly6HKwnuWiLcMSAd21cRG5+xyYWsh7Gi6lyRX3rPH/Af3/181kMRQmySBOhCDLDb7p7mM9fe2LEsqPUUOpRMXt+K0tb+aNFzlNakY0WSsSLB/lrWw+lpyZCLXgqzHkbP0XNNom0SnB9vYb6MdnrzPS0OPW69boR3fvA6nvUnf5D1cIQQmyABuhAD7KV/9u+dv0hvzmVEG2jZ7pwL8VgB/3Aj62H0LqXw52U/zgmMQWuN9WSaeLwwKTI+NZ/1MFa1MCc/NyHyTH6DhRhgDzhrW0f3EKvYYgbrRJ6BomWfcy4orYnLHsG+qnR5X0EyVsh6CD2lsL8+cMeprVW1WgDVvmNJOyFuulkPQQixCRKgCzHAbtw33bHHVqnFYsGR20y/UkbK2/NCOw7JZBmbGoJ9NQnUT5JUPPyDshUAILirSnOnlLavpB6WGd86n/UwTiuSAF2IXJOZsxAD7F/f/ivouDOZABXZ1pnNom9JeJ4/2nFJJktYYwn21fBmmmB6OxvYNdLxEHe6QbS9JKczrCKq9XYAnIQe87XebWgnhDg9mT0LMcB+768/g2njPMNYi0kN1hiMNEbuexLW5ZfWDslkCVMJcJZign01nHrvHiHVDclIkPUQstVMsCUP68rUcDWLzWFGt/RuAKy0oRpKRYgQeSV3YSEGWNHz1vy5xlpsmmC0xaqT/hz5n1YK7WiU1uBrbDrYE/5+l/qSZesLBa+VVVeqFajXBvP31hQd9MLgdnP3F2PSUm9nhnuJ6eG+glvPXGTX+I6shyGE2CAJ0IUYYA++7+41fZ5NEnAsynHRRqHsSX+O/O8UjgRw/cwUVKvPgOgLSutWoK5bgbp/uIlTjVHp4PyM3QFdnAjuqhJtKWY9jFyZr40yPLmU9TBOpSy//qSfznoUQohNkABdiAH2sw+5L+o0vaJsajCk4Dpos/7bhdVyi+lrru71ZsZiA44G6ulwAJ4LUYo30/+Z5cK+KtGOwWyOZoakY/tGaNN7Czpb9izyjAf/bNbDEEJsgsyehRhgvg92mbuAsRZrEnAVGmf57PgaKNt6LNHHpMFY39PaISlq/On+bCjn1BKCu6s0d1ayHkom/HtqxKMSoG/E7OIY5dHe2uv9yz/74KyHIITYJAnQhRhgT3v9R05txZ0m4IDSLmqTXY2VVSgjxzn1M9WHAZs4lXZc0qEAXY0J9lVxF2PI+eKbbqYU7lwiLWrCXYMZnAOY0tp7kYiTKEXg9k51yeSuBZ73qKdmPQwhxCZJgC7EAHvvq56JMq3/b5MUowwc2WfeNrINva/lPEYT66QCr3WeeuDizoUE+2q41TjrYa3OWJxagrcQ4R9uEtxVxfiK5p4hGOCtOMHdVZIRyZ5vxsz8KMWhZtbDAOCZj7sg6yEIIdpA2nUKMcDuc8ZWTGJBp+A56A6cA2wdJfuUe4UxbQ9GrLayBjOgbDkgObJl251p4oQpyWjQW53AjSU41CAuOqQjAVLPc5wkJZkoZD2K3LPKoVys0VjK9rkc27HIb17y7EzHIIRoj8FdNhZCcGh2EVtUKLX5cvaVKLTsQ89CatBNg24YdGhRiQWl0A3TCtTbJClq6eQusJWAZKKEwRIcbGQ9HDAW/2AdZyEk3FbCDPoZ58soHGiQFntoMSXHpudG8UvZnrt233MHs8GhEP1IAnQhBtiW8WGUbV+wthxlFSqVvFXHpAYVHgnEjwbjqQWtMAWNKWpMoLCuAqUwRY2OFaRt+rkHjlRIiGO045KMFgj21VqLQhnwDzdw5kOirSXSMckQL0fPN2lul4CuXQwuw8NZHrlmed5jHp/h9YUQ7SRLp0IMOK1Ux/cRW09jjUUrKYbeEGMgBn00ptYKq4904NcKG6h15bBNoNAxGGPAa8M6bWrBlZ+tuFcyWcKdb2KKHmm5O1MNp57gzDeJdgxuw7e18msJzVFZvGinmbkR3CAmCbvfdG9kS5WH7r2o69cVQnSGZNCFGHDve/HPYzucAtVWo1RnM/V9xRyXFY8soCA4kg0/mhH3FDitrPiGLuEp0Ard3PzPxSI/W3EqM1TAWEuwr0ZwoI43G+LUk7Ye1aYSizcbUrhridRXEpyvhTHE4xKct1tqPEbHFzO59s7dMp0Xop9IBl2IAffo+5/TlesoHAwpGqcr18uV1KATwACOwjjrz4pviKMwGpyGIS1ufIKXVBzchkVJhYQ4ifZckskTpxoqTHFqCU6Ykg75JEPuuheaVGwIDtZpTgTE460/Ym38A3VZyOiQ+fkK2k0xSXff5571yEd29XpCiM6SJTchBtzVN91Jt3p8aRyMNtg0B8cydYoxEB3JjjctKm41bzNHM+T+kcx4tyhFWtTocBMvAlfLPnSxZlo72KGAZLKEDVycuZBgf62VXV+FuxRTuGsJmxqauypQlDO818sW5DnrlCgpMD41f+zvjpviFzvbPK4yUeNpFz+uo9cQQnSXZNCFGHD3272ldVZ5t4J0o7GOwqYJyhmMW5AKTSuA1QrjKvBVzxWFm6DV4d1sNJNuWo3phFi3449rm26ikxTdTLGO5mgdiQWSskcyXiAZkgBzo9zpBrEcrdZRC7NlHvywkMga3v6cFzFZHuOPL/8w37zqMAsHh3D9hLFtNVzXMr2/TNzc3Ov5nHOkKk2IfjMYs2MhxIoKhQKOtpi0e8GVQmFdBxsnKLdPb0OpQUdgXYUNdC4OIrP+ke7uzvqDdGXksDWxeXaodVZ5HCXYyvpL38XpObElkee0M1LLw0vDPOcXn8BPP+Z+J3zoj37hpSRPT3jPZz7KCx/782wbnQJgenGet378Q9y1vwYK5g8XaK7jPHXtGF739Oe09dsQQmSvT2fGQoj1ePJPnc/lV92AMl0M0q3C+A591zsubu0nN77CFPM1EbaOQocWs4GEjNUSnov20b4LjZS0JNOUtgkToknJnrdTcKiJbyyXXnw2O7aP8Zu/tfJRZ67r8ns//6IT/m1yeJQPvugNx/6eJAlfu+FKLtp9Ht+++Qf8+T9+m9pcacXHHNlS5bxtezf/jQgheoq88wkheNsLnkxqLZ/57o0ouhdUaqMwJkXrHJfoxQadgjKtANf4qtUhPafUBo+sTwoad/UtxEKsmVNLJEBvo8KhBs3dQ1kPI9fcxYinXriXbdvGeNBFZ/FTDzm7vY/vulx2Qavh29Mufhy3HdzHf3z+LhpLAdacWtm0a5f8fgjRj5S1nT4BWfSSxcVFRkZGWFhYYHh4OOvhiB5z0e/8ObqLWXQAow0qMr1b6m4MJLSCcMAqBUfOID96Dnk/0U2LKWzse3KrpqsLPKK/6aUm6XCA8aWf7abFSWtBNMjxYmiG3KWYsabh3/7fK6lUul+FcMf0Pv7+fy7nprsOYYylWjOkieJtL3wWDz7rAV0fj1idzLfFZvTojFgIkY0jZ253kTYa6yqMMpBYtJPRBPLInnGgte/1aBDu9GZTt47ZzNPf/ZeP6GNmqICz2AQJ0jetcLDZ6novVmcsOjIUFiLe/sqncdON+09but4NZ0zu5A+f9ZJMxyCE6B4J0IUQx6iMCmoUCmUV1rEYUpSxYMGi0RtoWLYuRwLzPO4Z74SN7D8/Sp490W7GlcB802ox4daV9zEPnNOcODF8oMHfv/c3OPOsrcf+7ZJLL+zWyIQQApBz0IUQxyl62a7ZKRQaB6Xd1hFsHth0g5ui10hHtI4W6+bZ471MK4gHpl5A9DCTpiitJXu+SYX5EOsN7nPoLsYE003KB+rsXYLPvOOFlA800GGKDlOwFpVYgsMNvnr5m04IzoUQIguSQRdCHOO7mmbU2YB4PVrl7xZjU0hVZ7LpfbaHvB10AkaOmhYZ8+dCwp3lrIeRe0nFz3oIHaNSizcfEQ95+PMR4WSAMuDUYnAUO1OH//uR3z1l3/jXL3/Tsf9/0033cPjgPI989H27PXwhhFiWBOhCCAA+c8V1zDcTdI8VKiurUDgYz2Bjg2pnkJ6aXHdcF0KI00pSkkr/rrZVDjf52uVvIooiqvWIn//V93H/PVM89ZkX86Sn/NSaHuPcc7dz7rnbOzxSIYRYOwnQhRAAvOkfP4de5hiXo6yyWGVbXc0Bi0JhQWuUUR3v3q2NxngWG6dtayTXKm+XAP0UUlUgeoCVbSeb5h9qEu3oryoEFRkmFmJ+8ckP5jnPeTQAvu8z7vt847jMuBBC5JUE6EKII5afDFsslhSbahytOaV1hQGjDMp2fjKtjcK6GmNSMGw6UJfp/wrsBtuxSxd30UZpUaYom6VN/52k++jxcf7yo7+W9TCEEKJj5N1PCHFalhSNe/qWktbQrZ6TyiqUcsABoy2YFJXSaiq3Tv03dW0TeWJED7C+g0qtZNI3Ie2n/efWUjrY5C8vf1XWIxFCiI4a3LaeQogTTJROncgdC85XYa1ulb93mTYKTavju9EWowyGFNIEs4Yj46zcAU9lLaaP5vQiv5TWrS7bYmOSlGSof/af3zfypIRdCDEQZHoqhADgH17zvFZG+girLHaNZeuO0libYjNMvWqj0FajccBxWxl2Ze79o+/9rzWtAN5KDdGpLLDRRnyS6BRtpiM58m+j/EPNvqo+SFJ5LQghBoME6EIIAHZvGWP32L3NhCwpWq39FqFxsSyf7bLKYkgxJCcsAnTSsYD96B9z73+VbgXwFoNNU2yaHBnb0QB+gCeCWkG4se+/C20IxIBRPXTsY95kUNTUOdbyxtc8NetRCCFEV0iALoQ45r/e9lutUnFt4TQd3VeicTHqxODOYjEmQeO0gvjEYkiwpBi1wh9tO14yr41COS7KcVCOi8ZtdbG3DHxmXW8kPk8GeFFDdIyS19WGpUN9tFdFKa688uasRyGEEF0hAboQ4gS/dumDsGZ92fMTGE4plXfUvfsgHa1b+8Zx0HaFP0ZhDa1AvttpIGvQRmPTpLvX7SF2A2fDq9B2/Kg9MYD6KQvcTfWYpNJfK43X3bAv6yEIIURXSIAuhDjBK595KVtHNn5urlYa0laW3KgUtcFjfrRqNYDDmK6VxRttwR45um2A747WVejQwjr2fDqJRFKiA/qqTrt7CtPN1naVfmEtF95vd9ajEEKIrhjgKagQYiX/+dZf31RQrFUrS66t0zoSbROUcsB0fh+qxWJNglZ9NKndBBOo1tn2a2zSpWSrsOgImaZsRDoSZD2E9rLQqEdZj0IIIbpC3vmEEKcoFAoEvRSoWqejWXSLxZLicNyRRLL1FesqcBW6sfqT0UOvFtFHTGFzC3yDSC+ExMP9c7waAFpx190zWY9CCCG6QgJ0IcSyXvGMR2d6bNrxtFLQoc7qR4Pzk897l4DzCK0wRY1urlLyLk+Y6IC01F/7qLvBqyXQSwusbaDDlCdc9oCshyGEEF0hAboQYlnPu/QhoHonjdyJxYKVgnMA02cT3M0yBYVOVn5O7EbPThdiBSZKMIG8rtZDV2OiraWsh9EW7lJM6UADtxrztl+8lMc9/qKshySEEF0hS9NCiBUNBR7VZm8E6co6WG1b+6Lb4HTBucXCRrvY9zGzUtVsmGK19HAX7eVVI6KhPivV7jBvISKs9MdzpmPDNy5/U9bDEEKIrpMZqBBiRa7TO/s/tVJtPXJtpeAcwGqkWdxy9PJN47yaHLEm2q+HCnhyQS+FRNv6I3sO0Ka1WCGEyB0J0IUQK5qrN7Mewok2eGTbKQ+jzb3HqS2rN/be9yJtODVI76fjnETPsJ5MUdbDqyZYp39+F4NQVmiEEINJStyFEMv6zk9ub6WSe8rmA+fWcWoW53Ql7BKfr8gUWs+bSi0qshgf6KOgQPQGkyQgDeLWLkmJJopZj6KtAt1r7z9CCNEdcvcTQizr2lv39VzZsrUao9JNlbpbbXE4fem+shKhr8Y6re7uKNW2ygYhAGwU0Ryz0sF9HYJ7Gli/v6Z0dSsZdCHEYOqvu7kQom12To5mPYRTOEqjrYM1BkOK0Qaj7fo6vJ/uqLCjJEBfO62IRxyIUqw8b2ITTGpICameG1C6J5KtE+tgg97pF9IuSZ8tOAghxFrJ3U8IsazHXXQ2VvdmwKWVg8ZBG402CmMshmTVzLrRBlbJngNI4mb94nGX1LOQGFngEOtm45h41FA/owCAG2U8oDxJUuKxIOtRtF05kvuIEGIwSYAuhFhWoVDgvK3jmB4N0o/naI3GbQXqKl02o26VBWPX1J1d8nYbYwsO8ahDPKRJlIEohcR05Ax70UeimNoel2j83uPBTNAfR4V1Q3Cw0XcN9VRk+OwnXpP1MIQQIhP9dUcXQrTVx9/8Qj75xl/Bc1vZ514PtI6VwNu0VQKvEgwJxiZYY9FryJ63yK1xs2zZIR53iUcdSFLJqotlmdTQ2KpP3D+dGhI5/3zt+vBISB0bfN/PehhCCJEJmYUKIU5r744prnzvq/jBX72GM6aG2noWeado5bZK4K2Lxm39/XRd249jlUU5cmtsp2TUI/Hs2vb/r4FNU2wUYeMQY0ISNyIcSrBx2JbHF+1j46T1M9JhqzP7SYwXkwyf2AyusC/su4xwJ6VD/RfIpmWX333F/8l6GEIIkQl5BxRCrNmn//A3mRou9HwmfTNs/yWjeoItOMRlhYqW34JwyucnKTaKjwvCQ8JKTG2robrXpXpuQPWcArWzCjR2BkTjHtW9gQTpPcAaC1FE7EdU97qtn9HuAvU9DikhxoakKiT2Ihq7C6d8fWHm1EBeLE8vhCTl/ux2/52ZGf7uQ1/IehhCCNF1ykrb3YGyuLjIyMgICwsLDA8PZz0ckVMX/c6foU1/ru8ZbdFGovRO8uZjrOO0MurGgDJYB4wPaUGTlB1MYYNdqY2lcmuE8vovq5gXxoTUzjo18F6r0WsbRFv660zvTvEPNoi29u9zpRsp3/1/r816GEKsm8y3xWb05wxbCNFRsjtUbEY86mHTiOrZLtVz/eMy4QWiCX/jwTmAVlTP8rGRZNKzYOPNBecAaVnuMGvhTjeItmzuue51pujw8t/9cNbDEEKIrpIAXQixbp98y68fObJMiI0xQQerFBxFdW8AkZzV1U02ilrP+yY4SzFpqf/O9O4EjerLBnEn27ltLOshCCFEV0mALoRYt91bxvh/r3qOBOliw5Jyh99+nKOZdAnSuyUtWNCbCxjLt4cDEXRulne4TjTRf2efL+ffb76dH3z/1qyHIYQQXSMBuhBiQx6wdyfjxcGYIIr2sokhHu58YyvrKmpneZg0xC7TQVy0VzK0+cy3Iz+mNVF2MLLnWMuW+YSLHrQ365EIIUTX9GfrTyFEVyRpmvUQ2m4ApryZc5opON3ZZ2xdTW1va5+uNxfjz6WAh5aj9NorjomHN/8zNUVp7rcaPdckmuzvvedHjR0K+e9PvzHrYQghRFfJDEUIsWFTo0P9d+SaASOHW3SUymhhJx7zqO0tEE5ZbBxhjT12JJiNm8ue0y3WII6p7XI2Xd5OakgqkjdYjVdPNv9c58QDz9uR9RCEEKLrJEAXQmzYf7zl10H11z50hUIZCdA7yWbcpDsZcqmeExANJYRjKUvnBlTPKVI7yyUsx5gkxCb9Vx3SCeZIcL6pzvtHlO5oYF2ZlqwmrQxGlcED0oDfevHjsx6GEEJ0nbwTCiE2ZbxcwKo+C2htfy069Jqk1BtvPdGkTzx63GqBVkSTPrWzC9R2a4wJMX24jaOdlLVtCc4B/Hn5vVuNN90gGRqMY+junlnk3HO3Zz0MIYTout6YJQkhcusrf/JyoM8m1oNRPZoJa7rTIG6zrK+pnVWguV1JJ/jTsK4LaZsW6Lzef11kyhhw27CVICfmh+T1IIQYTBKgCyE27WkPuS+OYzC6PzLp1nMwaZ8tOvQIp5Fivfy89aRFh+rZPsaErf3q4gQKhVttz979tDwYmeGN8maaxKODUd6OsewIsx6EEEJkIz+zJCFEz3rbC57MVe97DV/4o1/HqvyXBGujUI6VZnEdoPK4t1sramcViMuJNJI7jjGGJIhJRtoTWLsLITqShbGVOM0c/u6s15F7bvlQg09//LUZD0YIIbIhAboQom22jo/yL294fl9k0hUOaNuVTLpJU4wZgMk3YHNctRpu8Wns0FLyDpjUEA+nNHcEbXvMuQeVqW63eAeXcJfitj1uv0jL/Z89/ym3zAsvvA///U+vyXooQgiRGQnQhRBtdf7ubfzG434K0wfd3bXVqA5/HzaOGPvJIv5Ss6PX6RVpId9vO6boUD03ICrG2OjEsvdBKYG3xpIWEqKJDgSMnsPCRUPougToJzCGpA3nzPey0oEGL3zeY/id3/05KpXBOOddCCGWk++ZkhCiJ/3u0x/LFe95GUbnP0jv1LFPxqQEh5bY+p1FCrMpY9c10I0m1vRvYNJqENeejt9ZC7f4VM8t0JwyxF5EYzSlthtSwr7vX2Bt1NbM+XJMqb+D0fVyFqL+PILuSEm7DlPCYY/zL9yd8YCEECJ7fXi3F0L0gkKhwG89/qFY8p1VVEa1/6itKGTi2gVGrw85ekKdTmDqu1WcPs4cqtC07UiuXpFUXJo7ApIRF+tq6mcUaG6xfVkGb+MYY0JqZ3Y2OCdOSUo53gvRAe1qxJcV3Ui5T8NBHddjQKWWCxKfx09s4fPv/W2u/MfXMT5ayXCUQgjRG+QdUAjRMS996k/zsa9eTS1KUTafRwMpFEYbnKWQNHBAKaxq/ftRRnEs0EaDPe57Pfr/rAIslA/UGb5l5eDNev0VwB7PiVIG4W0nrbhUz3UJDkZ4ixZcD5Xjo7FsFBONq86UtC9j9Lo60bahrlwrN/KcTrGWZ9//HF73+qfzwQ98Fs91qAwXedADz+T8+0rGXAghTqaslTbFg2RxcZGRkREWFhYYHh7OejhiQLz0rz7ON2+8G23yG6SkNmbshirFQ51t5nbgkSMotz/Le/VSk/qZg7e31JuPCaYTcIL8BepRRPVMr3tH49UTKocVJujfhaqNcJdikqH83RdUZCjNhnz98jdlPRQhukrm22Iz8rwmK4TIiQ/+zrM5cyLfGTFHeczdZ5houLO3TdXHjcbsgMZc8ahH9Zwixoly10guHqKr59aP3dCU4PwkeikkqeSz8mRIgnMhhFg3CdCFEF3xD6/N//FrjnJIC53NgLqN/t2Dbgo+5dtC/MP9tz97Lep7Clh6+3s3qcHG8bGFhLjSvWDZOxwSbil37Xp54c1HoHJWeUGrK/t73vJLWQ9DCCFyRwJ0IURXjFaK7BotY1W+g3Tjd3aiXLkrwqT5bgi1EqU16XCAMi7BwTDr4WSidlYBm/Tm926Nxfgx1XN86jsgKsWk5e4F6Cox4OQvEO20vD4jv/msR/BTDzk762EIIUTuSIAuhOiaz7z9t4B8H0Fl3M5Ol4PZlOHbqx29RtaUq8F6BId6O5vcKdWzgt7s8m4iGrtaPQJMoAmn/K5mbqNJ/9ixW+I4OetboBLL2MEmv/qCS7MeihBC5JIE6EKIrvrjX3kSqM42WuukTgfoAOV9SfuPdusxytNgHPzpHgxUO00ramf5EPfW9x4PZTwl8BxULAH6yayTr6maMpa/fs8Lsx6GEELkVr7u+kKI3Hvywy7g++9/LUabXO5Jt10owbWK/Na1roPyHHTi4OT8jOeNsK6iuseDqDd6DpjUEI1n24iscHdjIF7365W3AN34+RqvEEL0GrmLCiEyccWfvowr/vSloFIs+QnUk3Lnb5vKQvFwvePX6Qmeg7fU39UCK7G+pr7TwcbZB+nKxFg3uynByA+WcAi62jE+L/IW8FYONPAyfC0JIUTeyR20h3z961/nqU99Kjt27EApxac+9akTPm6t5a1vfSvbt2+nWCxy2WWXcdNNN2UzWCE2qVAoUCgU+P77X8tQ0clNNj2uBNgu3DlHbwgZ/eEs5dsXKO5bxFmqYUx/BrI6zMfPvhPSkkNzq8Yk2f1sTWpobs0ue166sUa8dSjTBYJelqtj56zlw3/2a5x51tasRyKEELkl74Y9pFarcdFFF/GBD3xg2Y+/+93v5n3vex9/8zd/wxVXXEG5XOYJT3gCzWazyyMVor2+8Z5XcMWfvhStTc93ede41HZ5XblWMGeo3BkzfEvE5PcbjF+30JdBujKDXdecDLlEYza7vgM2JhnKLkCvn1fGm5H3sWUlaW4y6N5cyPjhiHPP3Z71UIQQIteUtdIytRcppfjkJz/J05/+dKCVPd+xYwevec1reO1rXwvAwsICW7du5aMf/SjPec5z1vS4i4uLjIyMsLCwwPDwcKeGL8SGNZtNHvOGvyY0Ft2jgZuu1Zn6XjYl6Avn+ERjPqZYyOT6naBrMfU93Vn06GXBoQi36qC7uOfYpCmN7QpTzDZL6x9s4sW+ZNFPEty1RLh7KOthrEpFhs//6W8yMSXzCiFA5ttic+SdMCduu+02Dhw4wGWXXXbs30ZGRnjYwx7Gt7/97QxHJtYriiJuv/VQ1sPoWYVCgSvf+yqu+NOX4vRgRt3YlJGbssv2jdwcMX5NFZvGrS7gUZj7rLopexTvlgxquMVHdTuLrpLMg3OAaGsB71At62Ggl0L8fVW8w3VoZti80BgKdy0R7qpkN4Z1cGuxBOdCCNEm2bZsFWt24MABALZuPXFf19atW499bDlhGBKG4bG/Ly4udmaAAySKIt7ye//KzbcdJI4N9SgmVhYsDHku4yMl7pxeJHUUqNaRM1YprKOwSmFKLtZzUFGKU4/xI8NDH3Am73rP8zs+9vlqgye/9W+pRzEFz+VTb3khW8dHl/3cT3/rWp5w8XkUCidmar/wveu57+6t7N4y1tGxFgoFrvqr13DZGz/AzGLvHEdVuqeGv5jtWe5ODNu+uXDs72mgqO3wCMdc0pKH0vnLRhvXw11MSIYH/G1Jd2fd3KQJyqTUz/C7cr21mL+ozPDNEclIl8cUJgQzIfF4ATMUEA0Fxz6kEoMODTpKUYlBmeNOWTj5jHhjUcaiEgPWYhyF9R3iogtFZ20/W2Mo7KsRjxVo5iBzDoC1POasnVmPQggh+saAz4T63zvf+U7+6I/+KOth9I3HP+GPWRrxsb4DZU2rCOXeX6MQmCaBLaVVH8v6DonvkABfO3CIRz39XQT1hHN2TfDn73shlUqxLWP+1699j7/6z/+lGsZYpY+UjTs0I8vj/+D/8NZfupRnPfpBxz7/g//5DT70+SvRVvMH//wltLX825t+lb07ppivNnjdRz+DsgowDAUez73kYl761J9uy1hPdnB2njhpdXlXvXD+UtRg5ObeWSw4ygktw7dFcFtrbNGIZuGcAkmpgFb5KJRSnoM/G5OULXThKLtepBKzvgA9iojL67+OKWiiMRdUjy3kOBqiCGhDgJ6kuAsRTiO9d5HUVyQlF1N0wXWgEVM43CTaUiLcsfwTaV1N6mrS8ianS8biNBJ0Iz0W7LeCeA0KdGKwnkMy4vdcYL57PmXn1lG+OzeH1QodG5IhD6yldLDJzuEy7/67X8l6mEII0TdkD3qPOnkP+q233srZZ5/N97//fR74wAce+7zHPvaxPPCBD+S9733vso+zXAZ99+7dsidmA/7hI1/lr798NejOBw8qTnFqMWdWyrz6tU/h4gefve7HaDabXPrGv6ERmyMB9fJaJeSGoYLHeTun+N4t+1H2xJJXoy1FR9FM0lM+dvTjYHGAX730Yl75zEvXPd6jnvP/fZTr909jj2anUoU+OVOVkfJtC1Tuyv5IrLWqb3VZOGcI7WRfwrxmcUhzW7D65/Uhp5pQmln7zypVIfU9/dOLAIDUMHSHIS2tMSA2Bv9QAx23AlxTcEkLTqux2mnu1Sq1rUx4F+7neebUEj7+jl/lzLO28p+XX8mH/9/XOffMKb55635UCt/61BuzHqIQPUn2oIvNkAx6Tpx11lls27aNL3/5y8cC9MXFRa644gpe8pKXrPh1QRAQBIM52W23//7sNVDozmTOeg7JqMPNpLz0Lz6FU40pNBJ2bxnhgA2Jdhd4zAVn84e/8qRlv/76uw7wS+/+GNroVTPPreDdodowXH3zQRSnBgjaKELDsh87+nFQWOCjX/4+f//VqxkrBHzu7S86pUT+qFf+zX9w7W37CeOUehRjVOsxtFEoHI5uPTcqoRduVYaU0r78BOcApYMJtZ0haSlAGYOF1sKHUmjdo0F7trsHMuWEBlb4HVtONJb970XbORpnvkZaOk0WOUkp3FPHFD3iEZ9o2/rLCOyAVmmslUot5cNNXvGrlx47Mu2pT3soT33aQzMemRBC9L8+fHfPr2q1ys0333zs77fddhvXXHMN4+Pj7Nmzh1e+8pW84x3v4Nxzz+Wss87iLW95Czt27DiWZReddc9SDQqrl663nVKkQz61IZ/riXFqCfX5kE995yd86orruOTCvfzlbz/z2Ke/++Nf4mPf+AHaZFParFAoo1ioxzzsdR9EWcP20SEW6k2iJCE1FnOs1P4oh5WOQVfKwdgEnfHtyqs20TkMHie/X0fZUzvOGxfCMYfmpEs85JF6LtrJ/i1BDXBRl47X/r3bOCYZ6p394+20cJ8ipTlzakf3OKFwoEE0Veq5MvB+4y5E/M/lb8p6GEIIMZCyn42JY6666iouvfTe0uBXv/rVALzgBS/gox/9KK9//eup1Wq8+MUvZn5+nkc/+tF87nOfWzFDKdorKfXGfs204lPcV6expwzW4Ws/vJ2LfufPgdbkXhmF7pEDGo7udz8wdzRAbI1rpWB8OcoqrHYwqclsP7WxhtFbw9U/sQet1ARfJ1A8nFI8nNLqngBxWRGNOsRDDtGQh83iKLccLoK0i9MwGAx6DfvQrerfJ8qWXfybaoRbingzTZymIS17JMO9tz+7X73oiQ/OeghCCDGwJEDvIZdccgmnawmglOJtb3sbb3vb27o4KgHwxc99H7PWPZFdoJJ7XyetjHXr//UrbRTGsZjUZrIf3QlDgvn+DYiO8moWr5YACVaFHHikg3a6uzDVY6fqdYwOU9ylFJVYnMiSuoraWUWcRkrhYIhKNMpb+blPKv37+w5QnwA3hXiqRL42lvSH7//g9qyHIIQQA6t3Ig4hetg7/vwza+rM3g26HtPYMXhVE9pojEoxVnc1SDckTF17aol4v1MWygcaNHZ2OUDv/3UQinc3aQ67RJOnlqinRYfamQ5YS3A4wlsA67onZNVNaojGe6Oip1PC3WWCGyMSrz/L+HuVbqYML8T8xSdelvVQhBBiYEmALsQqfv4p7ybskeAcQDcTbBZ74XuAxsFoQ5panC6cF53alNEbq7jNAUnrnmTotojG1gjc7gVJSdGndHuT+p6gLztsF/c1aexawwKbUoRbAsIt4DRSvLkINFjdOvrLnia73i90LYRhCdC7xZsN+aPfeDxPeNLFWQ9FCCEGmgToQpzGX7z7cg6WQC81catJ69zakkcyEkBGR3+ZootNU1Sejs5qI201xjUkaYqrOvscFKfrlA4mHb1GL1MGtnx7keoZHvXtRehCNlO5GjNUoHxHRH23e2qjsBzz5mMa4+t/DtOiQ1ocvN/3pbMCgrrty4WaXlM+UOdL//Y6fF8WRIQQImsSoAuxgrvvOsy/fevHUPExvkt0XG8ib3+VZKqI9TKYNDcjlFPp/nV7iDIWpRSGznV3NzZh5MZ8NoZrJ2Vh6PaYodtj6ttcarsKJEHnO76nwz6lOyPqezysm88ATSX3diJ3FxKssVDsnwWHTktHfbx9TeKJwdvS002FQw2+fvnvZz0MIYQQR0iALsQKnvcbHyJdobQ93lFBzzfRTkI61N1z5p0UiBLwB+/X12KxpGjcI6dFa4xN0R3IpJfuqaPTtj9srpUOJJQOVAFISopw3CEacTGOAgVWgfUcksBryznr6YhP6a6Q2h4f8nButbk321vYHxIOO5QPhSQVTeo7JBvIng86m8SABOidolLLh97+vKyHIYQQ4jiDN8MXYg2e9KR3rrrv3IwWIEnxD9aItpa7Mi4Vp6jQoGKLHbC5vtEWTHpCxtxqC2n7M5LGRAzfErX9cfuJW7e49YTy3aduAYhGNAvnFkmKwaaPxkuHA8p3hNT2dnchbCNKdzSp7whwGynNHa3x1iryNrsZi+eXKB8yWE8qDzrBqSVceP8zsh6GEEKI48g7nhAnef5z3svc6BobMLkO0VQRb7rzXb7duSaqHhPtHMJf6o990fY0Z2pZLEZbjDKkxGijTilnt7T/2DVjY6a+tzQwx311gr9gmLqqxviP5tGNJsZuvDW7jQ3xcO9nz516Sn13AIEmWev9Q6wucPDmmlmPom+pdACOTRBCiJyRpX0hjvPG1/8jN+sE1tMhXGvSwIHUgNOZNS//QJVoS+nYuFTS+5Mqiz1W9gwW7JE/Rz9uNcoqjEoBe+8p7rb1N4VGG0XrfPcVnlfT3ija2JjJ7y/iNiQ6b4dgzjD13SqNLQ4L51RQ7voCV5sY0Mmyx5H1muBwRP2MYtbD6EuJ3/v3uzzQzfRYJYK3EOHEhne/7hkZj0oIIcTJJEAX4ohXvOwjXLXvMFTWHwyYoYBg31IriDYWHaY4tfhYQGoKLsn4xibv3uH6CcE5gBP2XgBpVWuHONYc+a+Dgz6SiV4mA3rsn5wV/r27jE0ZvaGKV+295zbviodS/PlFZi4qY4tr209sE4OyMc2tvV/aDpBKCXbHVM8tUbkzxQxgJ/t2UbHh8+/7bb70+Wv4n/+9ng985EVZD0kIIcQKlLVWZqMDZHFxkZGRERYWFhgeHs56OD3jiU/8/5if6OzRaf6+JeKJIraw9nUxf3+VaMepHdu9mTrVvd3Z974Si23tATe29TercTa533i9jErRtg3NyGzMxI+WCOYkU9dp8+cHNCZLp20iZxODMjHN7fkIzt2lhGRI1rs7aez7NcLt2d7zcslaVGKxnmb8YJMvfvqNWY9IiIEg822xGbLkLwbe337gC8yPd/5c82jnEBaLv38JZ2mVBmTW4t9TJdq2fKM6E3Q3GLCqFYxbZTHaYEgw1qCNRuO0uqp3OTgHQGnMJtcYUxuz9cpFCc67ZPT6kOFblrBm+Rb51hh0kp/gHMBb6I+eEL2sMSXTlY3QkeHpZ+/BmwsJN9ELQgghRPfIkr8YeP/06SthlY7tbVPwiHZ4kKb4B2pE207KCKUGZylCN1Oi7SufdW7c7k1WW93TzbFMtbJH9oRn2LcrtSluFDFyR0g8pImGXLSxpJ4iLXpo1rbX2diYqasXe3LLQD8r35OgzSIL5w6h9HFd+Y1BhzGNXfkJzgFULK+fTmvuKjJ8Y0Qy3Pv9CHqJCRy+d+0dfOcTv5f1UIQQQqyRBOhi4EVDGXRcdhyibWW8e2oo1eqkm/oOyUhAOlpgteO3dZzCGoNQm6YEh0Oc2FLfVkB5ay8Jt1hITFvOtG6X1KaM3rhE6eCRrOUBgHsrEqyCmQcVSSunL4e1acj4dTW8mgRXWSgeTCFdYv78IbR2W8F5M6KxO2dnXqeWxpR0be8GXQ1BAvQ182eauLFleFLKa4UQIk8kQBcD7fZbD3W9XPx48Qb3VNrVMuipwZsL8RcM6UiALRYxRSjNxDi1Bs1xl2Rs9UDIKttTwbmxhqG7qvcG58tQFkZuDJl+UHHZM7iNjRi+tU55n5QlZ604naKvW2T2vkO4zZT6GTkLzml1bw+35Svjn1dLewOCugXd+8fu9YJookBkLE/+2QdmPRQhhBDrIAG6GGj/8k//m8vJntGK0m1V0oLGaRrUka2FtuBhtcK6GusXSCZP+rqihyl6uFFKcHOVcMolGTlNUNRjPSSViRm6PV7187yqoXSwSm1rGUe1FhhSk+JETbZe1UDLVsyeEcwZgrmIpfPz2QDMqcuLqVvSUR9vf5N4PH8LOVkZOtTk2b/06KyHIYQQYh0kQBcD7YILd/Op62/PehjrZyzpeCugSTewfd76DslUGQcIbqlSO3ul/e69FaC7jbVnvUdujAhmU5oTLm4tpXgwQcdQ3+kSjjqMXxd2cKRiPeLR/L4VWTd/C3y5FseABOhroVJLo+xy4MAs27aNZz0cIYQQayRtUcVAe+rTH8LUXHTkqLDBZIor75+1PRage4ur7c4/UWE6ZfSGkMrdCU7c6mtX3pcwfl3IzP2lLLkbUh+WzvCYuahIc+LU7RJxwRJO5nRfsbU0x/O7uJBHC/cpoWKpWlgLfybkfqWKBOdCCJEzEqCLgfefn/k9Rmdzlk0NnLYtKujG8iXjVllUj90i/IX1BeinM/HDkNkLA1Lp79V2xoHGFof5+wbMXjhCPDGMckosnVEhHDnxNbV4Tjm3WWhvIcFWJEDvqoKDN5ez+3UGnFpCWnS47fB81kMRQgixTjKzEAL4wF/9Gs///X/E+r3TEO20tEY1E2xhc7/C7mxjxfJ2a1N0D90iDAn+fPsCdIDxH4UkBcX8Xg8LjNwQ9diSRG8yDqRFjVs1KCD1oLHNIxp1SQMXlTroI3v/j/+NcnBZ2jvMooopHQgxrqa6t5jJ99AO3mJKPCorPN2WOtLgcTV7lc+//PMrsh6GEEKIDeid2bcQGTr73O2U5kNq3ToPfbOidPVO7muQlj2Cgw3CrfcGSRaLxYB1Mj3r/KjUpgQLDUZvCHFW7w+3bm7TMnpD65i2pKiobndJyprKLSF+vf3Xy6ukoFg6JyApBKhUo5UmJQFtUIlzrNu/Yzjt66YVuDuE2wqYKMStpyRDOX0rSntrC8igWDq/TOXuFBPkZEE1AwcWa1kPQQghxAZJskiIIz77X68nOJyPiMyfrkMbAnQbuOhUY6NWZtpog7EGjYNWPRCdAwrLxLVNnLDzwZDbsAzfGjP+wxBtFLMXSAk8QG27y/x9R7B+Gce4x46vc3BxjL/ho/i0H1A4BMW781my3JyQF0cmHI0rZe7LUrFBhylej9y/hRBCrJ8E6EIc4fs+H/vwb+FNN7IeyqrMJkvbT3issk9pJiW4uwqpOnYsWe/IpiGU27SMXxfSnHKJVmpyPyCc2B4rWW835Tq4qU/51mZHHr9T3KUEM5zTzH8fiItSvbCcYDbkAy95Gp/82KuyHooQQogNkgBdiOPs2j3Fly9/Hc5i72ZnvINVkvH27ts1JQ/tBqik97oj6zTbMZX3J5iCM9BBejCTkuoO7C84jnYCyrflJ0h3l9rbD0GsT+2cIrohP4OTbS8VeejDz6NSkaPohBAiryRAF+Ikvu/z2l+5dMXu5lmzfmeydqboUrqn9wIkt5b9JLwwnRIPuwNb7q4sDN1ew9jO/iyU9fDme/P37mQ66r3FrIHiaLz53rtfZcGtxhQONigfaHDBeduzHo4QQohNkvo8IZbxjF98OIcPLfLRr1yDKfbOr4l7uE4y1blGdqrHml6lNmXs1t6oZmiOOzQnNRPXRlkPJROF6ZRwtE48VD62B73dlKMpHEqIRzvy8G0Vj7pgDGhZ585Kc1T1Qh/LbFnLHuvxiU+/PuuRCCGEaBOZWQixghe/7PH82aue2mrI1iNUh+Nn20OzXWMThm9bwl/KNlNpgNkLfMZ/FFI6kH02P0sjN0dY1eEFisAnONj7iyDxqEfhnt5YPBpUjbNKOLXBPnLNaaR84p9lv7kQQvQTCdCFOI1HPPq+fOny17M30tk1jzMGf/8SzkKTuMPHwDk9En+mxExcu0jl7mwn3/UpTWOny/h1EQooHkpZPKN3Kiq6bf78AGU7X+fvL/ZWJcdKnN5fR+h77sKAlrkbyxkLhoeOj2U9EiGEEG02uDNNIdbI933+6eOv5B8+8lX++qvf7+7FjcGdj4h2DHXpgj2QQo8abP1erSNnnq9rGAVwEggOn7hIYIoOMHhZu8aUgylVurKqa10Pp5aQlnv7LSoNZI07a7VtDq61MGDHipUPNfiPy38/62EIIYToAJldCLFGz/2VR7XOSe9ip3P/nhrJePe68Vqyy1waa3AXa2z5TvbBuQGaOz2CuVN/1pU7I9IBvHN2envFCdfSiuL+hNIdTYp3NwkORvgzEarHGrNF4y6q3iNlJwMq2lHEXcpHY8F20GHr9Tbq+xmPRAghRKcM4DRTiI3xfZ//+fybeeb9z1lTkO4drOLvX8I/UIVoY5N4U+5u23Bb8FDNbLLDwXydiWsavZDDZ/7+AcO3LD/pd+uW+QuCLo8oe6rLsbHyAxwC3DTAb3oEVY/y3ZbKTb2z79sUHEo52C/f73S1d14TnaJiQ/Fgg8+/97cZOdig0KHTPIQQQmRPWWvzsdlPtMXi4iIjIyMsLCwwPDyc9XBy6wlP/GMWJpc5izxNCQ7USUYC0spxGY7U4FQjnEaCSi3G18QTxVU7QOtmgil0dyLmzNWon9ndQ7+dpRqT389oj/9J5s73Gb0xOm1AGlc0KjS4g5O4IxzV1Pb2xn7XxAlp7OqNc56datIqdfdkvTsrzkxEEHqge2F5rzO8+YjvfPwNWQ9DCLFGMt8WmyEzCiE24M//9FdQ4b1Zcb0U4u9bQjdTwp1DJwbnAI4mHSkQbasQ7hwiniqjUos720AvLZ/9cQ/XMYHTyW9jWaYYdLXxkmo2eiY4nz/HY/i2eNVssVc1LJw/YFn0Hop93KYDPXIkYFpxKd/V/xncXpZO+HgL/VHJ4M2GBNNN3KWYyoEGwXST4sEGD5gYzXpoQgghukRqpITYgAvuv4dnP+Q+/PsXrkE5mniySDS0voDNeg7JeBF3volJU3COC8ZrMabiZdL4yBZcgoWEZKQL1zIRU9+rdf5CazB/ns/QHTFOuLbAz6v31n7oTjNeD0XonktpX0h9T29k0cMpD1VLsD3e1K6vNSMg34tm7lLMd/7t97IehhBCiIxJBl2IDXrV65/G5f/2asZ9H3+mgTu/saxzMlpANw3BviXcQ3X8fUu4cYopdnf/+QljGikQ7Ots4GxImLhmCZ1xj61Uwcz9A4Zui9YcnAMUDySk3S9wyEQ0rKnu6e62h9XoyEElvZFFT4ZcgsUUzGAt2vSS6jmFnqmq2KhhaTgohBACyaALsSnjoxU+/Z+vB2B2vspTX/j+U8vb18CUPcIuN4RbjYOLs9AkHWl/ljK1KaM3VfGq2U6o5+7rUzyUMvHD9ZcoezXL7AU+49f1R2ntShpTDtUzKjimt94ulOdS3N87WfTm9oDCviYm0EST0mG729IhD//OJtFEb7weNmLnhOxTFUIIIRl0IdpmfLTCbj+/k8OTpRUfL3Yp3lFt6+MaaygfrFE6kN1Z4o0RzdKZHmM/iSjMbDxrNXp9xOKZvbWw0k7z5wfUdg71XHB+lBP11ltYc2eBaMyjdGcTd7azCzfuTET5tgaFe2T/+1E26e2ujd58iD/TREWGkQMNnEbrHuguxZy5aHnHH/5SxiMUQgjRC3pz1iVETv3ff3wpP/OM95CM9Uegbj0HO1qmfFudqKKJpzb/fbmNJiM3ZpN1rk9pbKApHEwoLmy+HFmn4C8aEo++6uieBorZC0s4ttDbq7iehzcbE4/30CKJo6jvKaASQ+n2BvVdAbjtexb9wxHKWMIpn2TCb5V1G7PqiRCDYOE+RcrTBtvG57udKqHlS59+47G/f+wf/4f3/vcVAFgsu/ZMZjU0IYQQPUQCdCHayPd93vW6Z/DGd/0H8UQhkyZvnZCMF9FA+fYGccESbStt+LGGbs8m4xeVQKEo3d3ezH1hNmXpDI/SXTFOH2xBbmx1qO7uvZL2lbg1Qzye9ShOZV1N/cwiwaGIcNJtWwDt1lPqZ5x0xKNB6uEACi7eXINoapkjMDPkzYXo1PKER933hH9/3vMfy/Oe/9iMRiWEEKJXyVu6EG326Evuyzc+9/s8dHgU0j6I2I6TjBVQxSLlW2vYZP2l4SkxhenuN0IyQHO7R/FwZ649dEdMrQ9K3efuW6C2o3dL2pfjhJrKrU3canZbJk4n3OJTvqNNi1LGEJ1ULeAtJW3N0Oedofcare0tlvjWf7yR173+6VkPRQghRA7Iu7oQHfK+v/4NvPn+3B+aTJSo3B3iLK29VN1Yw8gt2RypNndhwPAtna1BH741Zv68fDYHSwqKwz9VwRbLaJWv1vTKc1FOQOGQonJzE3ex9wL12p4C/qHN3QvcmYjSnSHJ0ImLJ06jvxYBN2vxfiVU1FvPyZ0L7e3jIYQQor/lJ00iRB71R4X7spKxIm5iKdxaIylpwqkAnJXX/JywSXlfNsGT2+xOt3g3p8HS0tkByni5fr0qR4MTUJixcLBJuMUhHumRqgZH4TTX/9pw52OCuYSk7BBOeq095yfRUb6PFms7R+PN1je1DaetrOXSB5yV9SiEEELkiGTQheiQ6354J8kGjlzLFa1IJkpQLFA6EFO6rYZNTy0xNTZh/NpGBgNsKcx2p+xVx5b6RP6i3LHrmpTuWSLV+e90p7RC+QHBrEPl5iZOj5S+N7cFqNrax+LOReAoamcVCbf4oJd/XSkjAfrJokrvPCf+XMTb3/7crIchhBAiRyRAF6JDXvv6j2H9fJULb0Za8UnHS1TuCineUT22Rz21KcO3VLuWxV7ORrKX62GB+oM1T/2zb1F6cD63NZQOJEx8fxHiOsb03j7e9VJaobyA4mHN0E0hweFsz6u3vqYwm7Q6rq/Cn45QSp1Szi7Wpn5OGWcdiyEdk1p+44kPznoUQgghckbe/YXokPoymeRBkIy1OiiXDkXoRoPUNZT3ZztZru30GLmpMwGa1WAfl/CsF38PgMe/8Pt8+vuPpHgofz9/ncL4Dxs0JyMWzyzhmvxXgCitwPfx6+Dc0aR+RnZHIDZ2Fyje1SQeckmPvPsWZmN0AlYBtnXwQ2O7jymsbXHP5q9goyvchSZpuZLpGPz5kBe96LJMxyCEECJ/JEAXokPuf9Y2rlpaWLE0td+Zso8p++h6jLUhKsMj50Zuilg6w2PojvaWcBsX/Cc3+NnnX3vs3xwXHvWGH/LNP7l/LoN0gMJ0SjCzxPx9C6RBIXeN41aiU4+hm0KstqQBJBUH42vSQIPTnddnY/eJCwSNirwNd0Jtp4trbKZHXU4o+dkKIYRYPylxF6JD3v+hF/Hw8XF0swdKLTNkSh7haPa3mqTY3ol6OKYZefbCCcH5UVv3LPHYt1xDGuR3cUZZGPtxk6FbF0l1tuXh7aIcDb6PcgPcNKCw4FI6rKncaRm6JaFyU0j51ialu5oU9ocUDoQ91xH8FAO6ALiaaGsBbz7D162xvOF3n5zd9YUQQuSWLO8K0UF/+f5f4y/f81/86xU/xgaD++tmHQ0Zn0/sLm0+0Krvcinct8kFj7qdMy+YOe3nTmyrE1c0TpjPLPpRwYJh4polZi4axrE90hW9zZRWoB0UTquRvQHHgDWWKLX0TsuxU9ns1756lmpGQHD6T7IdyLJby9jhkJ9+zP3a+7hCCCEGwuBGDEJ0yStf+xRG/rbA337p+wPVNK7XxGMObOKYt/qDNc96wzfX9TXJiIKT4njjQn2bSzTmkgZeK0CwFh2njNwc4jZ6Kxw0LsxcVOnb4Py00ghTzG7P+lqkgUToK5k/v0h5xmDdE58jFRusp1Gx4XcvuZgPfPa7JMPeCcG6U0vYlWpm6yG1MR8TnP7eHRxucL8t49z3nO3c7767eNJTfqpj35cQQoj+JgG6EF3way++jI9/8rvMTQxogN4DMadVkPqK5jYHTKuEG2MpHEzRqyTXLfCgn7t53decvHiB5q1l4oqittMnLnukvofWp74O0gLM3t9n5KYqwVxvlFXfG5yvkoXsQzZOqe/q/UWJaMJDLyaYYXk7P0XRxZtrEE0VwVicRkpQjfnyJ17LM3/5vezdOcGvvuBSfvUFl/If//ZtLv6pvVx55U1MTy/xnOf9NOOjrSZzL/udD3PlwvwJjft0mBLMR6Se5gFTY3zok6/K6rsUQgjRZ5S1tgemzqJbFhcXGRkZYWFhgeHh4ayHM1CiKOKFz/8gd0RN0n4/H/0khTvmKMxnG3TOPtjn0l/4ITvOnj/h36//7nZ+9Im9lG9bObtePdvlF9+1vuw5QJrAx951KWmpgFZry3SaNKUwX2fkxpCkqEgLumvnuJ8wjgEOzgESN6KxMx/fe2F/SDjsYKXh3CmGflzDDBVxazHf+fjvbfhxoijiX/75m0xPVykU3BMCeCGEOJnMt8VmSIA+YOSGkb0fXn07L3nLx44dRzYIirfNEixmd6sxLlzw5ptPu2/8m5ffhwNfnqC0/8RgOBrWXPx717P73LkNXfuzf/oQDrlb1v11NkmxRzqLO1FE6Z5m146rG/Tg3IYR1fPy9b271QRvNqaxZ3DuK2uSGs66PubFz7+Epz/j4VmPRggxIGS+LTZDltuF6LL7X3wmlVQxn/VAuij1HCC7bvbNi/SqTd0e9bQbmD1viDvumeDmr+9AzyrMlOUJL7uK4bGNd4N+0uu+y8fecCnJttK6vk65RxqWATYoUDuzQH1HSPFQk8qd7T0u7nipB7MPGODgPDWEW/K3rzupuCQVl+BQhA7NKce5DRIVGc5e8tk1NcqTH3t/nvLHD8x6SEIIIcSaSYAuRAZqarAKV2zBJasAPRrWPP63v7emz7UGHnTp7Tzo0tvbOoZHPucarvyXB2EBpRTWWqKSgx1e31YH6wfUdwXUt0Y4zQidWJzI4oQGp2lx6wanYVnryyspKMJxh3jIIS06pJ6LTTSeHdBeCYDVMfFofoPbcEvrNeUfjnBrKfU9Aej8LTis5mijNwBvIcZqhTIWp2FQBv7zw6/JeIRCCCHExkiALkQGfv0ZD+NDX7kG3P6bOJ/AWoK5Og94wg1M2yHuvmYKvQ8Kh1JOd7BRNKIpPLrBxT97EzdevZOZO0YIp304KZHtLLWavCnbagLX2OFipyzWgHJg4uwFHvG4mxgaXVsGPGl2JjA960Fz/OgzdWbLE/f+o7W4SzFONaE56aG8ddyOPZ/U80mBk3PpxqQoY9DGoIxBJQadGHRs0YklLmlM4JK6LtZxTtkbr7SBqANHT+WADSNq5/RH5UA05RNNgT8TYRQk4/nte6GbKe5Sykiouezi+/Dj2w/w8uc8lpf+v0/jL6Z860Ovwffz+/0JIYQQx5M96ANG9sT0jp/7uXcyO+KB059BurvQ5P6PuoHzn77vlI/tv2WUq794No3bChT2p7jN1m0oLivSB1ie8FtXUSqvrTHawTuHuPZ/9nLeQ+7ijPNnNzXmWz67g7OftH9Tj3E6//L7lxFOnhoA6shALcKM9Ubm1q0b0AMWoMcJtV36hE7d/cJdTCAxGwrSVXLqMWVrYuwJryF3ISYtOVhP49RTijMJysLSnpUXRNxqwmWTe3jTbz+JqfFT36+uu3kfZ+yYoFLqjd8bIYQ4SubbYjMkQB8wcsPoLdVqg9992f/h+sUqptz7Rzqtx8jSND/3J1eu+nlRBN/93H2ozxb4mef/ACfDup7rPn4GFzz7jo49/v6fDPOl/3zUsdLc4zn1lEQbVCH714FXTTcWlOWMNbbVah9Dc4tL0sdHlbmLCaSGZOzeIF0llsLhiMY2/96KCdP6t5HEZaRY4D2v+QWu/sldfPHbP+Z7B++hue3egFo3Uvz5hHDCw2kanNBwn+IoZ+6Y4BEP3Mv/+eQ3uTOtYx145NQOvnf7PmIffvFBF/KmlzwFgCf99nuZDhukDhRThacdQPGBNz4H33E496xt3XyahBCiLWS+LTZDAvQBIzeM3jQ7X+UZv/SXhFPrayTWywqzVZ7x519f8+fffdU4k2cvURjrXAO01Vz3iTO44Bc7F6ADfOJNl1CfKi/7MbeakGgLpWyDdG8pXXYRoW9EMcYzhBMuyVD/BuUn8w9HRGMuuBoVGbYctnztI6/lOa/9EHfPLJBay2MuPJs/ee0vLPv1URTx71+4mi9fcQOHZhd5y289hYc84CyiKJIScyGEOI7Mt8VmSIA+YOSG0buiKOIJT3k3jS39EaR78w1+4T1fXdfXXH/5bs590t04XmdvSyZWzN1UQbsWr9xqXmdTxeEfj7L3ifd09NpLsy5f/eBDqDfKy5a7O/UUG8aZlru7iwn4/VfqDUAUsbTXB2fASvhp7eX+5TPvQ6Hg8cTH3J8LztmZ9ZCEEKIvyXxbbIYE6ANGbhi973GPfwe1PgjS947dwsNedsO6v+7HnziD+7Upix3XNW5gUEdizXDe5favbWPknCW2Xbhwyufvu3qM0e0Nytubbbn+6ez78Qhf+vyjl/2Yig3eXEi0JZszrZ1qiurHEvc4pnqG29/VActQkeGR3iR7to7x1pc/LevhCCFE35P5ttiMwantEyInvvyFN7eC9Klibjtpe3MNHvbm9QfnAPf7xTv48SfO4D4/fyeOv7n1w33fnkIXUkzDZWhHjUbV4z5Pv3vFz9958Rx3XTGOU0g7Xmq/834L+P8coawlHPdP+FlbTxNNFggONAi3dT9It5rTdtnPpdQSF83ABecA/lzMhz/0gqyHIYQQQog1GLyZihA58OUvvJmx2bUdDdZzjOWix12/qYe43y/ewY2f3UW4sLk1xPpsgT2PmubMyw4wcb8ldj109S7vux82y13f3LKp667Vc9/+RZ7zji/hLS3TsV4rwm1F/JkQm66to33b5HRhaFmpbf3RoPpv2WFVTj3lp6ak0ZoQQgiRFxKgC9GjPvvZNzJ8uJH1MNZNNxPO/bnN7+O+78/fxf5rxgnnNx6kO4VkQ19XGA83fM2NeNBjftQ6am0Z0URAYS7papBuLZDY1p80p7ugjgvMcVRr0WH5p7jvuEsJI3dGnD/v88Qte/jIO16Y9ZCEEEIIsUYSoAvRw77w+d+neKie9TDWRcftCyTPeuwh7vjWVpLGxm5VSXNjwf3uR05z+NqRDX3tRtz30n14iyuX1IeTAcXDXayocABXtf5oWmdaH/8nPRK8mx4L3o8G5eakwPwInfTYeDvkYZUtfOejb+CT73sZ73n9s7MejhBCCCHWQQJ0IXrc5//r9QSH8xOkO+nGstYrOe/n9nHjZ3Zv6GuHpjZegXDoppUD9HDB3XT5/SlWqb423WzadvxYlAJ90h/nSPAOvZNhT21r3M6RMS5Tpq+S/n7Lc+opT67s5MNvl/3mQgghRF7192xFiD7g+z5f/M/XUz5UP1J73Ns83f7mavf7hTu44ytb1/11E+ef2ql9rc5/+p3MXj/E7PVD3PLZ7fz442dww+W7mLm5TDCS0FhyufVz2zHJ5vc1//ubH0M4ceqRa8czQRePPVvry0wfybBnGaQfzZqrI+M5DeV7uAvtXUBaL3cpwZ9t/++IPxvzQGdUMuZCCCFEzkkXdyFywPd9vvyFN/Pq3/17vn1gGtvDZ1T7fmcCoPELZ7n5v3dw1s/es+Zz0svbQg7+aJitFy6u+3qOAyPnLuE4MH7+0ikfH93VZHTXPdzyla00Z46cWW6hMtlky0WzFCfWFoRFEdQr5VU/Ly052GaMKnjr+j42Qid27eeEKwX6SMm7ZtUgua0S2yrHX0dTO38xIRnp/lufDlOK+yJqewIoQ/nWBvVdAdZvzzr5VOTyj+9/UVseSwghhBDZkQy6EDny5+/7NR4wNIRq4z7vdnO8zgToQ1tizvm5/dz17Snqh/w1f93crRvfS+6sYR3k7J85yAW/eEfrz7Pv4IyfOcjB70+s+Rpffu9DMMHqt2LrKIrz3cn+qvVWaqgul7wf3QfvLl/KfjpOU3V977y7lODOJdT2FsHVoDW1vUWK+9vXjHAhinj4C/+EB/3mu9r2mEIIIYToPgnQhciZD33kt7mPV8h6GCty/c4uHpz5mEPsv2aCuLZ69Jw0NWnc/aO1Js5be2n9/OLomj83qXQ+ew6A3eBzptW95fGdDIIta8/wn8z3KR7oXsM9HabYFKJtp25hSMrtq4Sp7glY2OMTTnTpNSKEEEKIjpAAXYgc+ug//g7bllK86QbuXANdP66cOjU4C02cxRDS7p8rpXTns5PnPP4ebvrMrmU/Nnv9ELd+fhvXffwMGnM+Fzzrzo6P53g3/vdOhvasrTndf77j4UTja68GSCou7nTnj97b8JKGObIX/GgW/WhH9XY5/ui0TXDqGt3sThWKN5+Sji5fUh9N+QSH2rtYYB3FPQfn+N+rbuA33/oPbX1sIYQQQnSe7EEXIqc+9enXnfD3X3nu+4iTlAdetJffe/MzAXj+c97LzXS3HD6Nu7M/fuvF09gU1JHLHfzeGAuHipz3pP3L7hnvhjSFybPWtt/95u9MMe+NrfsaysvBbfv4DHe7St7buMddeS7lu2PqO1p7+zvJWWUhIKo4FPc1aexsU1WMo3jiH/0taVFjAs2tdx1m7+6p9jy2EEIIITpOWZuDttCibRYXFxkZGWFhYYHh4eGshyM67OqrbuHl7/p3TKF7Qd1keICfffvVXbnWLZ/dTtx0cYop5z5xf1eueTq3/+8Wznz0oVU/L4rg397xs8Rja8+eH88/1CDaUtzQ166FV02xGz3W7WjG/GggbS2k3LtHfT2SIxn5NXRo34hUhdT3dHa7SOnWBvW9q/+snHrakcWCwoGQl1z6cF783Eva/thCCCGWJ/NtsRk5SMUIITbq4gefzYXDQ1wb1tfdTGujTNqdDHpcddjywGmGtrf/yKqNqh9YW7D3qT/8GeKpjQXnAKrTOxc281I5OZBWqvVOYywY1h6oH20C10Edfx4Bs8Yfs1vtTIDe3BbwFz+6mr9+8XeoJA6f/suXMD5caft1hBBCCNEesgddiD53x745dCNB1zrfGEvXY+7z+Ns7fh2Afd+e6qngHKA4vPpz/G+//1gaU5vLfsdB5wJXp5ZiO3FUmlatI9HWUvKebH6f+Vokpc5exF1MaO44/fn2xz63mnausZ6jaG4LmN7l8sxX/U1nriGEEEKItpAMuhB97vOffxMAM4cW+KXnv596xcWU2t/p2V1scumvX8nk+dW2P/bJTKwwbvcb4K2mvrB8MFZfhM//2aOpu2WSyc3ddlViSSvuppLcK4oNSq//6LJ1WS0GTdd/tvmGhpGYjnc892dikuG1LcbU9hYp3t0kHnJIRjo3rukx+NSXrubpl13csWsIIYQQYuNkD/qAkT0x4mtf/iG/93efb53H3Cb+bI2fe/M3KY5355zuGz61i/s8/e6uXGs9Dv1kmMnzFtEOXP2pvdx8xRkkvktSdrFe+57v4ECDcFub96CnBq9psU6HssrGrn482sn71zspilg6d23Z7Y0o3dagftb6f0aqnuA1LdF454J0p5pwblLiI+94gZS7CyFEB8h8W2yGZNCFGDCu47Y1OC/MLvG0P/kGTpeOX56+bphzntx7wTnAlvsucufXtvDDb5/FjDuB3dKZQDOaDFDVGNvGc9G9um3rIsIp1nJ2+WbON18nu2oqf+NKt28sOAewJZckSXAX4o5l0tOKy/VEPPqdH6J0IOIPn/8knvK4B3bkWkIIIYRYH9mDLsSA+ex/t7HDemq45OVXdS04Bzh000hXr7de3/vyeUwHE9gONjizrsYL21fi79TSjo4XWL20PbFdC847yZ+OqO/aXGbeDLuknsadjXBnI4L9IcU7GpTubLZplC3W09R2F3jrv3yurY8rhBBCiI2TAF2IAfOaN/08j5oY535OQOFQHXeuSXC4jn/kT3CojorXdna6v9BgbG+jwyM+US+HcFd/ai9Lw8Nd6ZgfTQT4B+ubf6Bu7DuH07/bJEf2neecSmzrWLk2VKjYkkMy7pOM+4Q7AhpnFKnvKVC6fX2/b+5iQum2BsU7G7gzEcU7G5RubeDU7v0db2wP+JkX/dmmxyyEEEKIzZMSdyEGzPhohT977wtP+znf/c6NvOGtH6cxVjht2fPW7dNtHt3qsu6aMX1Hia9/+KcIKYC1aGNR1qBVTFgoY4e6t4Rgyhs/qu0oL7QbP/N8PbQ60gDuuOfn6NFrXWgKd6r2X6+4r0n9jM6dTw9QP7OIPx3hLaWkRY1umhOrE44cHW9pPaW13cEJjeqSidZ/C/samCBAxZZHl7bwVx98TkfHLYQQQoi1kQBdCHGKhzz8PL7yhTdz+b9fyZ989EukI8uc720sFz3vpq6PTbvdj9CjCL78lw9hfnGEeNTHjp8a3AWHmyRD3b2lbvY4NHcpwXoZpa7TI5Fkp0vrV6IdVGzatu/ePxxR3965pnPHiyZ9osnNPUZzZ5Hhm+v885+8mL27p9ozMCGEEEJsmgToQogVPe1ZD+Xih57FL730w6QjJwYf7lLI0I7On61+MsdfW/n9Zs3uK/C/H7mYelQiHvIwvoaJ03xBBqe+qfWWEzRiCvMJxtcY30HZ1beGt93Rc9A1GWTN76VcB38uJtzShiqE+Zi4qMHPz64x3Uy54p9+P+thCCGEEOIkEqALIU5r1+4p/viVT+E9f/4Zpke8Y0dglZ3On3e+HK/c2QD9U3/4KOq2TDzkwjrK1dOKi01TlNO9jHTqa/xDDaItK5dVq2qMX42xrkM85tPcfmKHPW8p7Wz39pNlHJgfz2lsflVFhwYVW+xoD3cuXMbw4e4sdAkhhBBiffKz3C+EyMwlj7s///WZ3zt2TrWKUx798h9kMpag3Lms/cffeCkLI6PEo966O4onZZfCoe5WFFhPE00VCA6H2LQVcOmFkMKBBv5shNNIsWWXcFuJaDLALvM9xUPOmpsCtkWPBOcAOtrkWKylcE9INLX5LHw3eXMx3/77N2Q9DCGEEEIsQzLoQog102GCcX3KtUWGd4Vdv/6+b06y7aGdaUz38Tf+DI3TZKLXIp4IcGabpOPL7NnvFKUIpwIKh5tYJyUa9WmOrC/wjIfczmfST24Q1wscF7eakFTW/1boH45wayn1MzvbFK4TlMm406IQQgghViQBuhBizUr1lGoZSpX2nse8FtM/HGb8wrm2noH+o8/v5sdfO4e46JNs2fzt0PgaXfFxZxsk410O3FK7qUxuPOTgVdP2d3S3NpP9+WuhHE3xnohw1Kz63HnzMd58AhaiMZdoyifKaW81r96jPxAhhBBCSIAuhFi7C87ZxhULC6Rxd3fHpKEijB0mR9pTiv3dT5zLLT84g3DMhy3tzeoaX2OHArxDDeJNZuTXSkeG5qi36YPD4qLCa5j2BenmSBe6XsucH8/38asWfz6kdpYP1uJWW68zp2nQTUNS1ETbgtbWh5xTkeFVT78k62EIIYQQYgWyB10IsWbv/cBv4M43KQ53t7z9zv/Zys6L59ryWJe/7RH8+K5zCSeCYw3v2s16mmSigH+g3pHHP5lKLKrQhvVWRxMHqj2HzechOD9CaYXyfcq3NVENQzzmEY95NLcH1M8qEm3rzvFpnaZDw/CBmOf9/COyHooQQgghViAZdCHEuvhhyv1/+eauXrM01SRugteGrd2NZmld3dk3yjqKeKKAqkbYSmebiKVFjW3GqEIbMryehmYK3iaeoxwF58ezjsIM9+fbYunukD990dP4mUfeL+uhCCGEEOI0JIMuhFiXix5WYHR3d/egb33Q/P/f3p3HV1Xdex//7r3PlJCBBAIBSZCiMlnHC4pap6pgLQXxttTpOmBtbxmqeFXUOpdaexX1qtX6qrXUoVWvD0htHy0OAUTR26pY7+NQKSpKGCySgSRn2uv5IxqNDJnOOXud5PN+vfKqnOyzz4+scnK+e639W1pfM6RH53hnxRD9/sfHqWVg7mZDTdhVOJmDF3IcRetSGTtdqtBp69jfZSY/w7kkOb341uyI7xDOAQDIAwR0AF1yw4/nqHlL7reV+srkWv3jySFKdyPwLrnmcK1+6cDWZe053uYr0T+s8D+zf0uAk8nG3J7b2tetO0vdfeVlOJfUemGhFypfn9CD158bdBkAAKATCOgAuiQWi2nNkhFa+3LuW1gPHf+x3loyvNPHb15XpN9fcZzqSvvLhHIcGo2R15xWqCktL5H9qVmT4XTpF7pyUl08ZybuXQ+Q0+M2e/bxtqf1y/mn6ytVedpyHgCAPqZ33mwHIKs+WleltxtG6uU/JDV6wrs6cMq6jL9GOulo/fLBSiZdDRy3VaFwWoWDkhr37fc7fO7618v04u8OVEtZVGZgbq9Dek1pheoSivcPKV3Qek94qsDL6tZrka0JJSoLM37eZKGjUNx0vpleni5t/4xxQ3ISvkykd1y7Lvgorqdvma3ykqKgSwEAAJ3kGJPnUx7okvr6epWWlqqurk4lJSVBl4M8tWzV/+rS3zzVGtzSRgVbmzXtyucUyWD+rH25XEMmbO3ScxIJack1x6ilrCDnM+bhbUm5LSm1VETkeN4O3w81JJUsdHf6vR4xRu62uPyyDHTQ2wm3xZdr1LlbA1JGyvVKhQxLRhJqGZL/XdsLNsS1+hfzFInk/nYUAOjr+LyNnugd0wQAcur4w8cp1PzpnuSeo+aKQj320+Mz+hpb3y/u8nOWXHOMmisKcxrO3YSv6MZmJfuHFa8s2GUATxWHFduSyPjrh+tSCseNoptbFNncLJNuv1e8SaUU2tos95PuNfbzY51c6m6MesMK8dD2/L9m7bak9bOzpxDOAQDIQwR0AN3ibW/fNTxRHtEjlx+rRHPPz51OOho6fkuXnvP4tYepuSLzy7x3KW0U29SitJ9WvLJzSwcSA6LS9sy1dXdb0kq7vuKVBYoPiikxqECO0xqo3YQvtyUtx/WUKi9QqAdv98nC1pUSu5Xny9vbOGG58XTHx1nMTRlFItzBBgBAPiKgA+iWwtCOM8XNFQV6ZOFkPbXwX3p07k/eKVbZnk1des52k9v7bL2Er5bBsS7tPW7CrqLbMxP+3IQvNSfll3xpObbryIQc+RFXfsxru388WdSDwOa5SnvafRO4XrJFmRNyVbg+F3vjZU+kLq1/2bfzzRQBAIA9uMQOoFtuuHy6fvCLpTs0EEsXetqowXrwukkKtSTlKa2UG9bI/d/X+G//vVPnLhzYtW3JNv69SMni3L6d+d1cRp8oj0rNSamg88H+y5y0kVsfV2pg52/6d0zPdhEzMVeqT0mRnSzhN6ZXXe51wlFFtyQUr8ivJeJOyij8SVKLLjlDRYXZ6UkAAACyqxd9pAKQSxMO3Euhpl3PBqeKQ2qpKND2iiLFB0S19tXqTp+7cHBc618q7/TxK349vvOdxjPEhByZZKrjA3fyvGh9D2bRjVFkS0uXwrnUGup7KlUSkpPeyVS5r5z//LMt1JBnSwJ8o0GbfD134yztO2pY0NUAAIBuYgYdQLd5zSmlOrl0Ol4R08OXf13f+I/lKi7vONg2fFAsHdK+i3tTvbT+laHatLZM8fqYigc3Kt4YVnMXw2pGOI7cuJHpxkR4YmBUTkNCprjrM7SxzXG1dPKe93Yy1PssFXbkpc3nXd176UYgbip/LjgUbIhrgBvVH++aS2M4AADyHAEdQLeFjNSVxegtFTE9ccsxOvX6ZR0eW1TRrM3rilRzz3gliqPyQ633Vrfb7mvTp/8b0FogJ5mWUdcTuvEcRRJSV3u6hxpTah4Y7lazdJOhBm4m4koNKSn86VJ3X72jOdwO8ufvlI46WnbnhUGXAQAAMoAl7gC67eTJB0l+12ZQTejzt53ELhJqU7300p/H6slHv6bmQYVKF3gyYbdze3HnkNuD2ePEgIhitV1oee8bKZ7s9j7qfsSR05CZbd5SxSE5Kb/LY59X7Pq/2m5Fe8HWcAAAoBUz6AC6bd73J+mRP7+qxMBoxwd/Kh119fDlxypZFFFoe0rfXfB0u+/X3P1VffjPPZSu6F4QzSU32bNg1DI4JveTFvllHTf0im5NKN6TpfyOo8j2tOJd315+p3y1Np7rnbPnksnUPQFZFtsU15P/NTvoMgAAQIYQ0AH0yLmnHKK7n3u1003C/KirlorWoBlqSumVJV/R+68OVbMKlY658iOuVJgfoc/1e1in6yhk3I6XuhujZPebvrdJF4dl0uluz8J/keM4vTacS5IJ2x/Q+62Pa/FPv6fyktxuMQgAALKHJe4AeuT8045R5JPuLZ2OD4jqb+vGqL5/qZL9w+327c4HX1yu312JsrAim3e/1D20PS2/tPOrFHYl1S+k2JaeL3MPNaR6dTiXpGSRvb8evaa0yj5I6i/3zVfVkAFBlwMAADLI3k8gAPLGoftWSxnYxivfpPplYBGS4yhdEpFp2XVne6+p69u57Uq8IqbQ1q7tM99OypcycGHCdn7Yrr+jk/AV3ZxQ2QcJ/f5739ULv7kk6JIAAEAWsMQdQI/des1pmjj9BsUrOr6XujdJF3pyt8Xl9+/Z7HY65in6z7gSsZ2/JRuTwT25PUdOyOv2Uvdws2lt2NfLuang90H3mtIq+jilMUMH6+eXnKKK8pKgSwIAAFlGQAeQEScePkZL3vxHr1/6/GXhFtOlreZ2JTEgqlhts1qGfKkRnG8UL41ktKl4siSkWG2T4kMKu/Q8J+63bnXXBziZW7TQdb5Rvw0J/e7Ks7X3iMoACwEAALnW+6dBAOTEVRdNU3RrZrbxyifJsohMOp2Rc8UHRmVaku0e85rTcnYxs94TyfLYbpfV70woZazb6i5bvJbgZtDLP0rpL7+eTzgHAKAPIqADyJgjDx7Ru/fG3gk/6iqSoQsTJuwqtq192A9tz85Urh91Favr/Lm9xrSM13d+ZbiJgC5EpI1mfnNiMK8NAAAC13c+bQHIuhuvmKHoPzOx4Du/eJmZQJek1k72X5DN/bjjFVGFt+y+g7wkKe3LyaPu+hnhBPPrccgmo3NP+Vogrw0AAIJHQAeQUef866FyUn1sFj2DXc3NF+7hd1JG8fIMbIC+K66jVHlM0dqm9o+nfHmNaYXr0wo3phWKK6+2v8sEJxyS25zBKy+dEKuN69lfXZTT1wQAAHYhoAPIqPNPO0aRnmzjlYcyeUHCfCEIe80pOaHs9vI0nqP4kEJFtiYU2pZQeHtaoaTkhFyZiNu613sfC+efCdfnNqAPdHq+1z0AAMhvBHQAGfe9736tT82ipyOZC7Bf3N7La8ldQEyUR+R4Xut95n2kEVxHQs25bRRXl+hbF7YAAMCOCOgAMu7cGUf0mVl0rzmtVHnmZj7d5BdCYTq3FzmSMUcyfefCSkecZMfHZFIixoURAAD6OgI6gKw459uHBl1CToQaMpzivjCDno5k9tQdCrt9auVDx3L7K9LP4EoMAACQnwjoALLixb/8I+gScsL3Oj6mK5xPl5c7SV/J0lwndClZwCx6G8+T15S72wy+O2Zszl4LAADYiYCeR9LptK688kqNGDFCBQUFGjlypK6//noZPkzDQn//x6agS8g6rymt5IBYRs+ZLA7LSRl5dXE5XobTf2eE3Haz+H2Z47mKbc7NOvfwtqTOnMb+5wAA9HXZbQ+MjLrxxht11113adGiRRo3bpz+8pe/6JxzzlFpaanmzp0bdHlAO34fuG7kJn2lldkQnS70FNnQpMTQwoyetytSha5CcdNnu7d/kZvs3s/A256Wm/TlJI3ctJHjS+GUFHZcFYTD6hcNa0BpkcpKCrVP1SCdf+rRmS0cAADkJQJ6HnnhhRc0depUnXTSSZKkPffcU7/73e/08ssvB1wZsKOvTRipZe9/1Ks7gvvh7CxCSgwuUHRjs+KVBVk5f4c8V/JTkhvADL5NjJHxQgpvS8pJGzmfrnYPtxiF5CjqeSqORRUNh1Q1qFwHjK7SCYePUXFxgYoKM7uyAgAA9A0E9Dxy2GGH6Z577tE777yjffbZR2vWrNHzzz+vhQsX7vI58Xhc8fjn3bTr6+tzUSqgG6+YoZXTblDL4N4bVEwoSxcfPEfxQTGFtjQrVRFMSE8VhRTa7kte77vA4vhGsUhYYc+V5zoKhTyFQ66i4ZBK+hWorKRA4/aq1JRj91V5UVHQ5QIAgD6EgJ5H5s+fr/r6eo0ePVqe5ymdTmvBggU6/fTTd/mcG264Qddee20OqwQ+98KSy3TId25Usiz3zc5ywQ87cuvj8ksyt81aG9eRKY7IrYvLL83C+TvByMgx6h2rIIyRjLTHgBItvvV7QVcDAACwUzSJyyOPPPKIHnzwQT300EN65ZVXtGjRIt10001atGjRLp9z2WWXqa6uru1r/fr1OawYkCLJXtxwzHEUbsnezfbpmCfFwgr9szlrr7Hb1+/nyQmimYAxKo6ENe2IcXL91hnvsOPI9dXa3MA3nwbuztXm+EYXfPcovXz/RYRzAABgNcfQAjxvVFVVaf78+Zo1a1bbYz/5yU/0wAMP6K233urUOerr61VaWqq6ujqVlJRkq1SgzbJV/6v59z0l0wuXSkut26H58uWEs7cgyUkZRT5uVryye43jTDKlSF1SblKS0/qVDkmOUeu91b4kx5EjybiOjOu0Lm03kjFGpjCc21l0Y/T8r+YoEokokUgoEtn5CoxEIqFH/7xGf37xLdX+s17N8aRSaV++MTKSHDn66lcq9atrT8td7QCAPo/P2+gJlrjnkaamJrlu+0UPnufJ93vxDCXy3vGHj9OVtz6hRHnvXOZuwq5iG1sUr8ze26kJOYpXFiqyNaFkxJEpCu/2+NCWZnlpyYRc+TFPqUJPyYHdry/cmM7e/fZf4vhGA0oK20L5rsL5Z987/Zvjdfo3x+ekNgAAgGwjoOeRKVOmaMGCBaqurta4ceP06quvauHChTr33HODLg3YrXDKVyLoIrLIRHPzVpooj8hJGUU/jistX6mBrQ3kTEtKkfqkPF9KlkSUqihQKoOvmwo78nyT+Vl08+k5fSPv03Mvv3fObkM5AABAb8YS9zzS0NCgK6+8UosXL9bmzZs1dOhQnXrqqbrqqqs6/YGWJTcIwttra3XaTx+SCfXOthdO2shPpuXEcnvN00m3LuWWq6wvQQ83pGUyua2cb/TH276vk370S1129nE6+ev7Z+7cAAAEiM/b6AkCeh/DGwaCcui//kyJAcF0I8+FyOZmJQYFtG95LiR9hVLq3oWAz37NfOG5Mc/Til//KDO1AQBgET5voyd653QWAOuMHFLe6a7b+chJ9/D5Kct/NmG36zV+2ml9aHmxbps3vbUjvDEaXNJPF5x6VHbqBAAAyGMEdAA58eDt5yvySTLoMrKnm13qvaa0Cjc1q39DDxN+DiQLWu8X7xTf6CffP1H9ImEtufV8TTxghF66/yKNqRqk391wjqYff0BWawUAAMhHBHQAOfNvU8bLSfXOXQf8rtx/7ht5TWn129SiAb6r55dcroZ8aNkZcqX0bsbvsz3KfaOX779IR4/fS8/9am67QxYtOFNFRTSBAwAA2Jl8+EgIoJf44b8dqwceW62Wyt53r3aqnyeTSskJdfy2Gq5P6aWHL2n3mB/Jj+ulqUJXobiR3E9XDHx628LX9huh2TOO1IiqgUokWnv2040dAACga/LjEyGAXuOFxy9XeFvvW+puPKdzfy/fKJrYcTl7uD5PNqLzPp9Fd3yj0ycfrBGDy3Tzf0zXiKqBkgjmAAAA3UVAB5Bz/T2vVzaM83bSRM1rTiu6Jd7259iWFq1YfNkOx5X1i2W1tkxKFbhyU77232uofnTa0Xr4P88NuiQAAIBegYAOIOeeeugiVafDim5qUbg+KSfdW8L6jo3iSpp9fXvSgYpsTSi2qUVfGz9yp8+Mt+TPqoLoJ0lNO2ys7rn61KBLAQAA6FW4Bx1AIJbcO6ftv9d9sFEXXvuoNjY0KVGWx8ujv9TJPbaxWc88frkkad73J+32qQUFEX1i/O7tM55j/UKe5s/6RtBlAAAA9DrMoAMI3IjqSi25d479e4F3wHjt31JT/cKdfu4Tv71Ag7YblW1NKrapxbpbAEKNKQ1ukpy0UaqXduIHAAAIGgEdgDX8kP2zx7vjh9u/pbpJXxs313f6+U8+eJGeefQSvbDkMlU0GHkt9uyNPsgL6//ef6G+NqxST/x2VtDlAAAA9EoEdADWyPd70dMxVyb9eag2IVf3/r6mW+d66ncXyWsKPqA7aaPwtqRG710pSbr1mtNUVFQUcFUAAAC9E/egA7CGY9my7q4yYVfhrXGlyj1JUjras2ug6ZiXibK6xzeKbY7r7BmH6vzTjgmuDgAAgD6EGXQA1sj3GXRJCiU+vT87bXTIHoN0xdxvdftcjp+jn4dvFN6WkBtvf2/5yD0HEs4BAAByiIAOwBpfbrKWj/yQKydlVN6Q1p0LzuzRuUyuOrob6fb5p+jkg/Zuu0gSrk/qrgVsowYAAJBL+f9pGECvMP282xUfkJ9brDlJX5GP4+q3qUX9PFcPXX6qnn744h6ft8LxdpjVzqhPZ+hDzWk9//JaXTH3WyrZllRsY7NGDxnAveYAAAA5xj3oAKww4cCReu/1t4Muo0u85rRGFBToxmtO0Yjqyoyf/0/3X6jrbl6i195cr+3bE9qmtJIlnd+6rSMTBpQrEg7pv355Rttjz/33pRk7PwAAALqGgA7ACn96eo00KBZ0GZ3ipI1C9UkNK+2nR36Z3S3HrrpoWtt/z73yAa3+R61SRZ186zZG0Y8TKi0Iq74xoZAnuXJV0C+ikOPqppv/lVlyAAAAixDQAQTu1w8/r6ZSO5e3h+tT8pqS8qOe0jFPTtqoul+h/vuReTmv5b+uP0MPLHlRdy6qUXx3FzN8o+jHcZmwqxf/z/zcFQgAAIAeIaADCNyHH34sE8pRQ7Td8Y0c0zpD7jWl5aR9XX/hFB1/+LigK2tzxrSJOmPaRB029Qa1VO4ipLuOop6r39/x77ktDgAAAD1CQAcQuCdX/D+ZwcEsb3eSvqJb46oaUqZ7bz4zb5Z8v/D4ZTr0OzcqUbbjygM34etH531dlYNKAqgMAAAA3UVABxCow6bdoJbKgmBe3Dfar39/3ffrmcG8fg85yZ13ePdDjv7zrmU6efK/5LgiAAAA9ATbrAEIxNtra1vD+aBoYDWE61O6b2F+hnNJOu6wUfKa0u0eK/lnQrHNcY2oHhBQVQAAAOguZtAB5FxjY6POueg3agloWbskyTfyWlLBvX4GXH/xdC0/+QbF42nJceS1pPTza76jCQfuFXRpAAAA6AYCOoBAFEZC8rcmlOgfllxHMkZOurVBm5M2clO+nLRpa9wm0/q8eEVmZtz7bYlr5eOXZ+RcQVqx+LKgSwAAAECGENAB5FxRUZGefuRiSa1L3de+t1lHHjKywwZtv374ed257GUZrwcd332j2Ja4Vi4h2AIAAMAu3IMOIFCjRg7RN76+f6e6p5874whFPo53+TXchK9QY0rhTxIqr0vrBcI5AAAALMQMOoC8cuNlJ2v+Txfveg/wzxijUGNaxUmjZx69JDfFAQAAAD3gGGNM0EUgd+rr61VaWqq6ujqVlLBHMvLTug82aua8RSosjGpLMqFkSbg1kG9Py0368uJp/fs5x+iMaRODLhUAAPQxfN5GTzCDDiDvjKiu1LP/famk1vvSFz28Snt9pUL33nNuwJUBAAAA3ccMeh/DFT0AAAAge/i8jZ6gSRwAAAAAABYgoAMAAAAAYAECOgAAAAAAFiCgAwAAAABgAQI6AAAAAAAWIKADAAAAAGABAjoAAAAAABYgoAMAAAAAYAECOgAAAAAAFiCgAwAAAABgAQI6AAAAAAAWIKADAAAAAGABAjoAAAAAABYgoAMAAAAAYAECOgAAAAAAFiCgAwAAAABgAQI6AAAAAAAWIKADAAAAAGABAjoAAAAAABYgoAMAAAAAYAECOgAAAAAAFiCgAwAAAABgAQI6AAAAAAAWIKADAAAAAGABAjoAAAAAABYgoAMAAAAAYAECOgAAAAAAFiCgAwAAAABgAQI6AAAAAAAWIKADAAAAAGABAjoAAAAAABYgoAMAAAAAYAECOgAAAAAAFiCgAwAAAABgAQI6AAAAAAAWIKADAAAAAGABAjoAAAAAABYgoAMAAAAAYAECOgAAAAAAFiCgAwAAAABgAQI6AAAAAAAWIKADAAAAAGABAjoAAAAAABYgoAMAAAAAYAECOgAAAAAAFiCgAwAAAABgAQI6AAAAAAAWIKADAAAAAGCBUNAFILeMMZKk+vr6gCsBAAAAep/PPmd/9rkb6AoCeh/T0NAgSaqqqgq4EgAAAKD3amhoUGlpadBlIM84hks7fYrv+9qwYYOKi4vlOE7Q5QSqvr5eVVVVWr9+vUpKSoIuBznCuPddjH3fxLj3XYx932TDuBtj1NDQoKFDh8p1uaMYXcMMeh/juq6GDRsWdBlWKSkp4Rd3H8S4912Mfd/EuPddjH3fFPS4M3OO7uKSDgAAAAAAFiCgAwAAAABgAQI6+qxoNKqrr75a0Wg06FKQQ4x738XY902Me9/F2PdNjDvyHU3iAAAAAACwADPoAAAAAABYgIAOAAAAAIAFCOgAAAAAAFiAgA4AAAAAgAUI6OjVVqxYoSlTpmjo0KFyHEdLlizZ5bE/+MEP5DiObr311pzVh+zpzNi/+eab+ta3vqXS0lL169dP48eP1wcffJD7YpExHY17Y2OjZs+erWHDhqmgoEBjx47V3XffHUyxyJgbbrhB48ePV3FxsQYNGqRp06bp7bffbndMS0uLZs2apQEDBqioqEinnHKKNm3aFFDFyJSOxn7r1q2aM2eORo0apYKCAlVXV2vu3Lmqq6sLsGr0VGf+zX/GGKMTTzyxw8+BgC0I6OjVtm/frv3331933nnnbo9bvHixVq9eraFDh+aoMmRbR2O/du1aHXHEERo9erRqamr0+uuv68orr1QsFstxpcikjsZ93rx5evLJJ/XAAw/ozTff1AUXXKDZs2dr6dKlOa4UmbR8+XLNmjVLq1ev1rJly5RMJnXCCSdo+/btbcdceOGF+sMf/qBHH31Uy5cv14YNGzR9+vQAq0YmdDT2GzZs0IYNG3TTTTfpjTfe0G9+8xs9+eSTmjlzZsCVoyc682/+M7feeqscxwmgSqCbDNBHSDKLFy/e4fEPP/zQ7LHHHuaNN94ww4cPN7fcckvOa0N27WzsZ8yYYc4444xgCkJO7Gzcx40bZ6677rp2jx100EHmiiuuyGFlyLbNmzcbSWb58uXGGGO2bdtmwuGwefTRR9uOefPNN40k8+KLLwZVJrLgy2O/M4888oiJRCImmUzmsDJk067G/dVXXzV77LGHqa2t3eXnQMA2zKCjT/N9X2eeeaYuvvhijRs3LuhykCO+7+uPf/yj9tlnH02aNEmDBg3SIYccwtK3PuCwww7T0qVL9dFHH8kYo+eee07vvPOOTjjhhKBLQwZ9tny5vLxckvTXv/5VyWRSxx13XNsxo0ePVnV1tV588cVAakR2fHnsd3VMSUmJQqFQrspClu1s3JuamnTaaafpzjvvVGVlZVClAV1GQEefduONNyoUCmnu3LlBl4Ic2rx5sxobG/Wzn/1MkydP1p///GedfPLJmj59upYvXx50ecii22+/XWPHjtWwYcMUiUQ0efJk3XnnnTryyCODLg0Z4vu+LrjgAh1++OHad999JUkbN25UJBJR//792x07ePBgbdy4MYAqkQ07G/sv+/jjj3X99dfr/PPPz3F1yJZdjfuFF16oww47TFOnTg2wOqDruHSIPuuvf/2rbrvtNr3yyivcm9TH+L4vSZo6daouvPBCSdIBBxygF154QXfffbeOOuqoIMtDFt1+++1avXq1li5dquHDh2vFihWaNWuWhg4d2m52Fflr1qxZeuONN/T8888HXQpyrKOxr6+v10knnaSxY8fqmmuuyW1xyJqdjfvSpUv17LPP6tVXXw2wMqB7mEFHn7Vy5Upt3rxZ1dXVCoVCCoVCev/993XRRRdpzz33DLo8ZNHAgQMVCoU0duzYdo+PGTOGLu69WHNzsy6//HItXLhQU6ZM0X777afZs2drxowZuummm4IuDxkwe/ZsPfHEE3ruuec0bNiwtscrKyuVSCS0bdu2dsdv2rSJpa+9xK7G/jMNDQ2aPHmyiouLtXjxYoXD4QCqRKbtatyfffZZrV27Vv3792/7jCdJp5xyio4++uiAqgU6hxl09FlnnnnmDjNmkyZN0plnnqlzzjknoKqQC5FIROPHj99hS5Z33nlHw4cPD6gqZFsymVQymZTrtr827Xle26oK5CdjjObMmaPFixerpqZGI0aMaPf9gw8+WOFwWM8884xOOeUUSdLbb7+tDz74QBMnTgyiZGRIR2Mvtc6cT5o0SdFoVEuXLmW3jl6go3GfP3++zjvvvHaPffWrX9Utt9yiKVOm5LJUoMsI6OjVGhsb9e6777b9ed26dXrttddUXl6u6upqDRgwoN3x4XBYlZWVGjVqVK5LRYZ1NPYXX3yxZsyYoSOPPFLHHHOMnnzySf3hD39QTU1NcEWjxzoa96OOOkoXX3yxCgoKNHz4cC1fvly//e1vtXDhwgCrRk/NmjVLDz30kB5//HEVFxe33VdeWlqqgoIClZaWaubMmZo3b57Ky8tVUlKiOXPmaOLEiTr00EMDrh490dHY19fX64QTTlBTU5MeeOAB1dfXq76+XpJUUVEhz/OCLB/d1NG4V1ZW7nR1THV19U4v4gBWCbaJPJBdzz33nJG0w9dZZ5210+PZZq336MzY33vvvWavvfYysVjM7L///mbJkiXBFYyM6Gjca2trzdlnn22GDh1qYrGYGTVqlLn55puN7/vBFo4e2dmYSzL33Xdf2zHNzc3mhz/8oSkrKzOFhYXm5JNPNrW1tcEVjYzoaOx39Z4gyaxbty7Q2tF9nfk3v7PnsM0a8oFjjDHZi/8AAAAAAKAzaBIHAAAAAIAFCOgAAAAAAFiAgA4AAAAAgAUI6AAAAAAAWICADgAAAACABQjoAAAAAABYgIAOAAAAAIAFCOgAAFjsvffek+M4eu2117JyfsdxtGTJkqycGwAAdA0BHQCA3Tj77LM1bdq0wF6/qqpKtbW12nfffSVJNTU1chxH27ZtC6wmAACQHaGgCwAAALvmeZ4qKyuDLgMAAOQAM+gAAHTT8uXLNWHCBEWjUQ0ZMkTz589XKpVq+/7RRx+tuXPn6pJLLlF5ebkqKyt1zTXXtDvHW2+9pSOOOEKxWExjx47V008/3W7Z+ReXuL/33ns65phjJEllZWVyHEdnn322JGnPPffUrbfe2u7cBxxwQLvX+/vf/64jjzyy7bWWLVu2w99p/fr1+s53vqP+/furvLxcU6dO1XvvvdfTHxUAAOgEAjoAAN3w0Ucf6Rvf+IbGjx+vNWvW6K677tK9996rn/zkJ+2OW7Rokfr166eXXnpJP//5z3Xddde1BeN0Oq1p06apsLBQL730ku655x5dccUVu3zNqqoqPfbYY5Kkt99+W7W1tbrttts6Va/v+5o+fboikYheeukl3X333br00kvbHZNMJjVp0iQVFxdr5cqVWrVqlYqKijR58mQlEomu/HgAAEA3sMQdAIBu+MUvfqGqqirdcccdchxHo0eP1oYNG3TppZfqqquukuu2XgPfb7/9dPXVV0uS9t57b91xxx165plndPzxx2vZsmVau3atampq2paxL1iwQMcff/xOX9PzPJWXl0uSBg0apP79+3e63qefflpvvfWWnnrqKQ0dOlSS9NOf/lQnnnhi2zEPP/ywfN/Xr371KzmOI0m677771L9/f9XU1OiEE07o2g8JAAB0CQEdAIBuePPNNzVx4sS2ICtJhx9+uBobG/Xhhx+qurpaUmtA/6IhQ4Zo8+bNklpnwauqqtrdYz5hwoSs1VtVVdUWziVp4sSJ7Y5Zs2aN3n33XRUXF7d7vKWlRWvXrs1KXQAA4HMEdAAAsigcDrf7s+M48n0/46/juq6MMe0eSyaTXTpHY2OjDj74YD344IM7fK+ioqJH9QEAgI4R0AEA6IYxY8bosccekzGmbRZ91apVKi4u1rBhwzp1jlGjRmn9+vXatGmTBg8eLEn6n//5n90+JxKJSGq9f/2LKioqVFtb2/bn+vp6rVu3rl2969evV21trYYMGSJJWr16dbtzHHTQQXr44Yc1aNAglZSUdOrvAAAAMocmcQAAdKCurk6vvfZau6/zzz9f69ev15w5c/TWW2/p8ccf19VXX6158+a13X/ekeOPP14jR47UWWedpddff12rVq3Sj3/8Y0lqt3T+i4YPHy7HcfTEE09oy5YtamxslCQde+yxuv/++7Vy5Ur97W9/01lnnSXP89qed9xxx2mfffbRWWedpTVr1mjlypU7NKQ7/fTTNXDgQE2dOlUrV67UunXrVFNTo7lz5+rDDz/szo8OAAB0AQEdAIAO1NTU6MADD2z3df311+tPf/qTXn75Ze2///76wQ9+oJkzZ7YF7M7wPE9LlixRY2Ojxo8fr/POO68tNMdisZ0+Z4899tC1116r+fPna/DgwZo9e7Yk6bLLLtNRRx2lb37zmzrppJM0bdo0jRw5su15rutq8eLFam5u1oQJE3TeeedpwYIF7c5dWFioFStWqLq6WtOnT9eYMWM0c+ZMtbS0MKMOAEAOOObLN6wBAIDArFq1SkcccYTefffddgEbAAD0fgR0AAACtHjxYhUVFWnvvffWu+++qx/96EcqKyvT888/H3RpAAAgx2gSBwBAgBoaGnTppZfqgw8+0MCBA3Xcccfp5ptvDrosAAAQAGbQAQAAAACwAE3iAAAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAsQ0AEAAAAAsAABHQAAAAAACxDQAQAAAACwAAEdAAAAAAALENABAAAAALAAAR0AAAAAAAv8f2YDeBS48BK0AAAAAElFTkSuQmCC"', 'image', '{"params": {"country": "Chad", "ipc_level": "3"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}', 'Recipe sample result', 'matt', 'matt', '2024-06-13 22:23:20.947304'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('d35775fd-db0b-47c1-84c0-2c5006c23fbe', '4747561e-9fea-4b07-9fcb-ebc56addffe3', '{"function": "get_all_recipes", "params": {}}', '{"result": {"type": "text", "file": "", "value": "| | type | intent |\n|---:|:-------|:-----------------------------------------------------------------------------------------------------------------------------------------------------|\n| 0 | recipe | plot a line chart of conflict events by month for a country using HDX data as an image |\n| 1 | recipe | plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image |\n| 2 | recipe | plot a line chart of fatalities by month for a country using HDX data as an image |\n| 3 | recipe | plot a line chart of commodity prices monthly relative change for a country from 2008-01-01 using HDX data as an image |\n| 4 | recipe | plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image |\n| 5 | recipe | provide a list of organizations providing food security for a region in a country |\n| 6 | recipe | provide the total population of a provided country using HDX data as text |\n| 7 | recipe | plot population pyramids by age for a country using HDX data as an image |\n| 8 | recipe | plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image |\n| 9 | recipe | plot a map of population by admin1 or admin2 for a country using HAPI data as an image |\n| 10 | recipe | plot a line chart of commodity prices monthly relative change for a country from 2008-01-01 using HDX data as an image |\n| 11 | recipe | List organizations in top 3 states by population in provided IPC Phase in a country, using HAPI data |\n| 12 | recipe | plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image |\n| 13 | recipe | provide a text summary of metadata by subnational region using HAPI data as text |\n| 14 | recipe | get all recipes |\n| 15 | recipe | plot a map of IPC phase data by admin_1 using HDX data as an image |\n| 0 | memory | plot a line chart of conflict events by month for Chad using HDX data as an image |\n| 1 | memory | plot a scatterplot of food price movements and number of fatalities in TCD from 2008-01-01 using HDXData data, including regression line as an image |\n| 2 | memory | plot a line chart of fatalities by month for Chad using HDX data as an image |\n| 3 | memory | plot a line chart of commodity prices monthly relative change for Chad from 2008-01-01 using HDX data as an image |\n| 4 | memory | plot a bar chart of humanitarian organizations in Wadi Fira by sector using Humanitarian Data Exchange data as an image |\n| 5 | memory | provide a list of organizations providing food security in Wadi Fira, Chad |\n| 6 | memory | provide the total population of Mali using HDX data as text |\n| 7 | memory | plot population pyramids by age for Chad using HDX data as an image |\n| 8 | memory | plot a scatterplot of food price movements and number of fatalities in TCD from 2008-01-01 using HDXData data, including regression line as an image |\n| 9 | memory | plot a map of population by admin1 for Haiti using HAPI data as an image |\n| 10 | memory | plot a line chart of commodity prices monthly relative change for Chad from 2008-01-01 using HDX data as an image |\n| 11 | memory | List organizations in the top 3 states by population in IPC Phase 3+ in Chad, using HAPI data |\n| 12 | memory | plot a bar chart of humanitarian organizations in Wadi Fira by sector using Humanitarian Data Exchange data as an image |\n| 13 | memory | provide a text summary of metadata for Wadi Fira using HAPI data as text |\n| 14 | memory | retrieve all recipes |\n| 15 | memory | plot a map of IPC phase 3 data by admin_1 in Chad using HDX data as an image |"}, "metadata": {"params": {}, "attribution": "", "data_url": "", "time_period": {"start": "", "end": ""}}}', 'text', '{"params": {}, "attribution": "", "data_url": "", "time_period": {"start": "", "end": ""}}', 'Recipe sample result', 'matt', 'matt', '2024-06-14 18:08:47.446258'); -INSERT INTO memory ("custom_id", "recipe_custom_id", "recipe_params", "result", "result_type", "result_metadata", "source", "created_by", "updated_by", "last_updated") VALUES ('2a750620-1422-46ef-a0d8-c001d277689e', '11748b33-a104-43b7-9a26-dccb95313633', '{"function": "generate_refugee_migration_sankey", "params": {"country_code": "KEN", "country_name": "Kenya"}}', '"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"', 'image', '{"params": {"country_code": "KEN", "country_name": "Kenya"}, "attribution": "https://data.humdata.org/dataset/74cdbe77-0a0b-441b-9535-bacc263be2a8", "data_url": "https://data.humdata.org/dataset/74cdbe77-0a0b-441b-9535-bacc263be2a8/resource/295cd9e4-8464-43ee-ad17-47196991a1f7/download/demographics_residing_world.csv", "time_period": {"start": "2022-01-01", "end": "2022-12-31T00:00:00"}}', 'Recipe sample result', 'matt', 'matt', '2024-06-16 23:08:25.716335'); +INSERT INTO public.memory ("custom_id","recipe_custom_id","recipe_params","result","result_type","result_metadata","source","created_by","updated_by","last_updated") VALUES + ('1f62a50e-59fa-4ab4-b5bf-5b5aa48a57dd','0a2dd283-07b6-45f7-a400-59d59a19831b','{"function": "create_bar_chart_of_humanitarian_organizations_in_a_given_region_disaggregated_by_sector", "params": {"region": "Wadi Fira"}}','"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"','image','{"params": {"region": "Wadi Fira"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}','Recipe sample result','matt','matt','2024-06-13 22:22:43.07182'), + ('2a750620-1422-46ef-a0d8-c001d277689e','11748b33-a104-43b7-9a26-dccb95313633','{"function": "generate_refugee_migration_sankey", "params": {"country_code": "KEN", "country_name": "Kenya"}}','"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"','image','{"params": {"country_code": "KEN", "country_name": "Kenya"}, "attribution": "https://data.humdata.org/dataset/74cdbe77-0a0b-441b-9535-bacc263be2a8", "data_url": "https://data.humdata.org/dataset/74cdbe77-0a0b-441b-9535-bacc263be2a8/resource/295cd9e4-8464-43ee-ad17-47196991a1f7/download/demographics_residing_world.csv", "time_period": {"start": "2022-01-01", "end": "2022-12-31T00:00:00"}}','Recipe sample result','matt','matt','2024-06-16 23:08:25.716335'), + ('038c84df-9cc4-432c-a9b9-0e0b784c5af0','2fd218b0-14b9-4d0b-8ab9-8c77c90c8d25','{"function": "analyze_food_security", "params": {"country_code": "TCD", "ipc_phase": "3+"}}','{"result": {"type": "text", "file": "", "value": "Top 3 regions in TCD by population in phase 3+:\n\n| adm1_code | adm1_name | population_in_phase |\n|:------------|:-------------|----------------------:|\n| TD14 | Ouaddai | 292780 |\n| TD07 | Lac | 230487 |\n| TD05 | Hadjer-Lamis | 209637 |\n\nOrganizations providing food security in these regions:\n\n| adm1_name | org_name |\n|:-------------|:----------------------------------------------------------------------------|\n| Hadjer-Lamis | Action against Hunger |\n| Hadjer-Lamis | Cooperazione Internazionale |\n| Hadjer-Lamis | German Development Cooperation |\n| Hadjer-Lamis | World Vision International |\n| Lac | Action against Hunger |\n| Lac | Agence de Developpement et de la Formation Proffessionnelle |\n| Lac | Association pour le d\u00e9veloppement des initiatives locales |\n| Lac | Bureau Consult International |\n| Lac | CARE International |\n| Lac | Catholic Relief Services |\n| Lac | Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement |\n| Lac | Croix Rouge Tchadienne |\n| Lac | Diakonie |\n| Lac | Food and Agriculture Organization |\n| Lac | Handicap International - Humanity & Inclusion |\n| Lac | Help Tchad |\n| Lac | Initiative Humanitaire pour le Developpement Local |\n| Lac | International Committee of the Red Cross |\n| Lac | International Rescue Committee |\n| Lac | INTERSOS - Humanitarian Aid Organization |\n| Lac | OHDEL |\n| Lac | Organisation Tchadienne pour le D\u00e9veloppement |\n| Lac | OXFAM |\n| Lac | Programme Alimentaire Mondiale |\n| Lac | SAHKAL pour la Solidarit\u00e9 et d\u00e9veloppement au sahel |\n| Lac | Secours Catholique et D\u00e9veloppement |\n| Lac | SOS Sahel |\n| Lac | SOSSIF |\n| Lac | United Nations Development Programme |\n| Lac | World Vision International |\n| Ouaddai | Action Citoyenne pour l''Information et l''Education au D\u00e9veloppement Durable |\n| Ouaddai | Action contre le changement climatique pour le d\u00e9veloppement |\n| Ouaddai | Action Humanitaire pour le D\u00e9veloppement |\n| Ouaddai | ADD |\n| Ouaddai | Adventist Development and Relief Agency |\n| Ouaddai | A Nassour |\n| Ouaddai | APRODIF |\n| Ouaddai | Association des Femmes pour le D\u00e9veloppement Int\u00e9gr\u00e9 |\n| Ouaddai | Association des T\u00e9moins des Urgences et des Actions de D\u00e9veloppement |\n| Ouaddai | Association pour la promotion du monde rural |\n| Ouaddai | Association Tchadienne pour la Promotion du D\u00e9v\u00e9loppement Int\u00e9gr\u00e9 |\n| Ouaddai | Association Tchadienne pour le D\u00e9veloppement Rural, Social et Economique |\n| Ouaddai | ATTADAMOUN |\n| Ouaddai | Bureau Consult International |\n| Ouaddai | CARE International |\n| Ouaddai | Cercle Humanitaire d''Appui aux Initiatives de Developpe\u00f9ment |\n| Ouaddai | Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement |\n| Ouaddai | Concern Worldwide |\n| Ouaddai | Cooperazione Internazionale |\n| Ouaddai | Croix Rouge Tchadienne |\n| Ouaddai | Echo M\u00e9dical |\n| Ouaddai | Food and Agriculture Organization |\n| Ouaddai | Future Porte du Tchad |\n| Ouaddai | German Development Cooperation |\n| Ouaddai | Hebrew Immigrant Aid Society |\n| Ouaddai | International Cooperation and Developpment World |\n| Ouaddai | KITES |\n| Ouaddai | Lutheran World Federation |\n| Ouaddai | NIRVANA |\n| Ouaddai | Norwegian Refugee Council |\n| Ouaddai | Nour Akoura |\n| Ouaddai | Organisation Humanitaire et de D\u00e9v\u00e9loppement Local |\n| Ouaddai | OXFAM |\n| Ouaddai | Premi\u00e8re Urgence Internationale |\n| Ouaddai | Programme Alimentaire Mondiale |\n| Ouaddai | Secours Catholique et D\u00e9veloppement |\n| Ouaddai | TCHAD SOS |\n| Ouaddai | United Nations Children''s Fund |\n| Ouaddai | United Nations Development Programme |\n| Ouaddai | World Relief Chad |\n| Ouaddai | World Vision International |"}, "metadata": {"params": {"country_code": "TCD", "ipc_phase": "3+"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}}','text','{"params": {"country_code": "TCD", "ipc_phase": "3+"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}','Recipe sample result','matt','matt','2024-06-13 22:23:06.352445'), + ('d35775fd-db0b-47c1-84c0-2c5006c23fbe','4747561e-9fea-4b07-9fcb-ebc56addffe3','{"function": "get_all_recipes", "params": {}}','{"result": {"type": "text", "file": "", "value": "| | type | intent |\n|---:|:-------|:-----------------------------------------------------------------------------------------------------------------------------------------------------|\n| 0 | recipe | plot a line chart of conflict events by month for a country using HDX data as an image |\n| 1 | recipe | plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image |\n| 2 | recipe | plot a line chart of fatalities by month for a country using HDX data as an image |\n| 3 | recipe | plot a line chart of commodity prices monthly relative change for a country from 2008-01-01 using HDX data as an image |\n| 4 | recipe | plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image |\n| 5 | recipe | provide a list of organizations providing food security for a region in a country |\n| 6 | recipe | provide the total population of a provided country using HDX data as text |\n| 7 | recipe | plot population pyramids by age for a country using HDX data as an image |\n| 8 | recipe | plot a scatterplot of food price movements and number of fatalities by country using HDXData data, including regression line as an image |\n| 9 | recipe | plot a map of population by admin1 or admin2 for a country using HAPI data as an image |\n| 10 | recipe | plot a line chart of commodity prices monthly relative change for a country from 2008-01-01 using HDX data as an image |\n| 11 | recipe | List organizations in top 3 states by population in provided IPC Phase in a country, using HAPI data |\n| 12 | recipe | plot a bar chart of humanitarian organizations by sector for a given region using Humanitarian Data Exchange data as an image |\n| 13 | recipe | provide a text summary of metadata by subnational region using HAPI data as text |\n| 14 | recipe | get all recipes |\n| 15 | recipe | plot a map of IPC phase data by admin_1 using HDX data as an image |\n| 0 | memory | plot a line chart of conflict events by month for Chad using HDX data as an image |\n| 1 | memory | plot a scatterplot of food price movements and number of fatalities in TCD from 2008-01-01 using HDXData data, including regression line as an image |\n| 2 | memory | plot a line chart of fatalities by month for Chad using HDX data as an image |\n| 3 | memory | plot a line chart of commodity prices monthly relative change for Chad from 2008-01-01 using HDX data as an image |\n| 4 | memory | plot a bar chart of humanitarian organizations in Wadi Fira by sector using Humanitarian Data Exchange data as an image |\n| 5 | memory | provide a list of organizations providing food security in Wadi Fira, Chad |\n| 6 | memory | provide the total population of Mali using HDX data as text |\n| 7 | memory | plot population pyramids by age for Chad using HDX data as an image |\n| 8 | memory | plot a scatterplot of food price movements and number of fatalities in TCD from 2008-01-01 using HDXData data, including regression line as an image |\n| 9 | memory | plot a map of population by admin1 for Haiti using HAPI data as an image |\n| 10 | memory | plot a line chart of commodity prices monthly relative change for Chad from 2008-01-01 using HDX data as an image |\n| 11 | memory | List organizations in the top 3 states by population in IPC Phase 3+ in Chad, using HAPI data |\n| 12 | memory | plot a bar chart of humanitarian organizations in Wadi Fira by sector using Humanitarian Data Exchange data as an image |\n| 13 | memory | provide a text summary of metadata for Wadi Fira using HAPI data as text |\n| 14 | memory | retrieve all recipes |\n| 15 | memory | plot a map of IPC phase 3 data by admin_1 in Chad using HDX data as an image |"}, "metadata": {"params": {}, "attribution": "", "data_url": "", "time_period": {"start": "", "end": ""}}}','text','{"params": {}, "attribution": "", "data_url": "", "time_period": {"start": "", "end": ""}}','Recipe sample result','matt','matt','2024-06-14 18:08:47.446258'), + ('d6a8d3fa-9288-4643-a2b6-0a03a1e510cd','573c6699-0bc9-4300-85bb-a91fc202a8ba','{"function": "generate_events_report", "params": {"country_code": "TCD"}}','"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"','image','{"params": {"country_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx"}','Recipe sample result','matt','matt','2024-06-13 22:22:19.991987'), + ('1bf8f06b-37e7-4c5f-b6e9-5aca2f4374e5','576aa6ff-1884-4fa3-bae7-8eb6baeb960c','{"function": "generate_price_vs_fatalities_report", "params": {"country_code": "TCD", "start_date": "2008-01-01"}}','"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"','image','{"params": {"country_code": "TCD", "start_date": "2008-01-01"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx", "time_period": {"start": "2008-01-01", "end": ""}}','Recipe sample result','matt','matt','2024-06-13 22:22:25.519572'), + ('0d41e4e3-6955-4a3e-ae27-7e6836dc28e9','5871264f-26ed-4f00-8d36-684261aad476','{"function": "summarize_tables_with_data", "params": {"region": "Wadi Fira"}}','{"result": {"type": "text", "file": "", "value": "Tables with data for subnational region (adm1_code: TD17):\n\n- hapi_coordination_context_conflict_event\n- hapi_coordination_context_operational_presence\n- hapi_food_food_price\n- hapi_food_food_security\n- hapi_metadata_admin2\n- hapi_metadata_wfp_market\n- hapi_population_social_population\n- hdx_shape_files\n"}, "metadata": {"params": {"region": "Wadi Fira"}, "attribution": "", "data_url": "", "time_period": {}}}','text','{"params": {"region": "Wadi Fira"}, "attribution": "", "data_url": "", "time_period": {}}','Recipe sample result','matt','matt','2024-06-13 22:23:13.847567'), + ('70d84687-302e-47ac-9019-28921bc20380','5b2f7722-9f2e-4926-9fa9-30ea9d6f835c','{"function": "plot_population_pyramid", "params": {"adm0_code": "TCD"}}','"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"','image','{"params": {"adm0_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/5e60290d-0a82-48e2-9454-812b01c7d9d4", "data_url": "https://data.humdata.org/dataset/5e60290d-0a82-48e2-9454-812b01c7d9d4/resource/56452d47-7f29-474d-a13c-0bbec70034db/download/tcd_admpop_adm2_2021.csv", "time_period": {"start": "2021-01-01", "end": "2024-12-31T23:59:59"}}','Recipe sample result','matt','matt','2024-06-13 22:22:52.752335'), + ('eac01945-a9f0-47d2-b0a9-826955b3cb2a','6bd47487-f891-479d-b666-07227f4df9bc','{"function": "generate_commodity_price_plot", "params": {"country_code": "TCD", "start_date": "2008-01-01"}}','"iVBORw0KGgoAAAANSUhEUgAABLAAAAJYCAYAAABy5h8aAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3gUVdsG8Hs2lZBCgvQaQJo0QakiUqQpiNKLAnYUUBDbp2JDBRs2BCwviIIoiAVBAQERVJBiQem9N4GE9GR3vj+OJzO72b6zNffvunJtsrvZmWxmd2fuec5zFFVVVRAREREREREREYUoU7BXgIiIiIiIiIiIyBkGWEREREREREREFNIYYBERERERERERUUhjgEVERERERERERCGNARYREREREREREYU0BlhERERERERERBTSGGAREREREREREVFIY4BFREREREREREQhjQEWERERERERERGFNAZYREREREREREQU0hhgERERERERERFRSGOARUREREREREREIY0BFhERERERERERhTQGWEREREREREREFNIYYBEREfmJoigYO3asy/vNnTsXiqLg0KFD/l8pLz3zzDNQFMXQx/zxxx+hKAp+/PFHQx/XaLVr18aNN94Y7NXwq1GjRqF27drBXg2/COR2FqrPY6iuFxERkScYYBERUdiRgY+iKNiwYUOJ21VVRY0aNaAoit+Dh19++QXPPPMMLl686NfleGLUqFHFz4+iKIiLi0P9+vUxefJk5OXlBXx93n33XcydOzfgy3Xl9OnTmDRpEho2bIiEhASULVsWrVq1wpQpU0Lq/xmOZGhk72vIkCHBXj279O8riqIgPj4e9evXx9ixY3H69Olgr17IqF27tsP/rf5Lvubz8vIwffp0tGnTBikpKVbP6549e4ofV4bk8ishIQE1a9ZEnz59MGfOHOTn5wfpLyYiolARHewVICIi8lZ8fDwWLFiAa665xur6devW4dixY4iLi/P7Ovzyyy949tlnMWrUKJQrV87vy3NXXFwcPvjgAwBARkYGvv76azz//PPYv38/5s+fH9B1effdd3HZZZdh1KhRVtdfe+21yM3NRWxsbEDXBwA2b96M3r17IysrCyNGjECrVq0AAFu2bMHUqVPx008/YeXKlQFfr2B5//33YbFYDH/c8ePH4+qrr7a6LtQrgZ577jmkp6cjLy8PGzZswMyZM7F8+XL8/fffSEhIcPq7/noefWXker3xxhvIysoq/nn58uX49NNPMX36dFx22WXF17dv3x7nzp1Dz549sXXrVtx4440YNmwYEhMTsXv3bixcuBDvvfceCgoKrB5/5syZSExMRH5+Po4fP44VK1bg9ttvxxtvvIFvv/0WNWrUMOTvICKi8MMAi4iIwlbv3r2xaNEivPXWW4iO1j7SFixYgFatWuHcuXNBXLvgio6OxogRI4p/vu+++9C+fXt8+umneP3111GpUqUgrp1gMpkQHx8f8OVevHgRN998M6KiovD777+jYcOGVre/8MILeP/99wO+XsEUExPjl8ft2LEjBgwY4JfH9pdevXrhqquuAgDceeedKF++PF5//XV8/fXXGDp0qN3fyc7ORtmyZf32PPrKyPXq16+f1c+nTp3Cp59+in79+pUIJ2+88Ub8/vvvWLx4Mfr372912/PPP48nnniixOMPGDDAKgibPHky5s+fj9tuuw0DBw7Exo0bDftbiIgovHAIIRERha2hQ4fi33//xapVq4qvKygowOLFizFs2DC7v5OdnY2HHnoINWrUQFxcHBo0aIBXX30Vqqpa3U/2r/rqq6/QpEkTxMXF4YorrsD3339ffJ9nnnkGDz/8MAAgPT29eOiLbS8rZ49hz8iRI3HZZZehsLCwxG3du3dHgwYNnP6+PYqi4JprroGqqjhw4IDVbd999x06duyIsmXLIikpCTfccAP++ecfl485Z84cdOnSBRUrVkRcXBwaN26MmTNnWt2ndu3a+Oeff7Bu3bri5+e6664DULI30dixY5GYmIicnJwSyxo6dCgqV64Ms9ns83rPnj0bx48fx+uvv14ivAKASpUq4cknnyxx/YYNG9C6dWvEx8ejTp06mDdvntXt58+fx6RJk9C0aVMkJiYiOTkZvXr1wp9//ml1P/l3f/7553jhhRdQvXp1xMfHo2vXrti3b1+J5c6YMQN16tRBmTJl0Lp1a6xfvx7XXXdd8fMo5efn4+mnn0a9evUQFxeHGjVq4JFHHnFr6JVtj6RDhw5BURS8+uqreO+991C3bl3ExcXh6quvxubNm10+nrt+//139OrVC8nJyUhMTETXrl3tBhQHDhzAwIEDkZaWhoSEBLRt2xbLli0rcb9jx46hX79+KFu2LCpWrIgJEyb4PPSsS5cuAICDBw8CEM9VYmIi9u/fj969eyMpKQnDhw8vvs02xLFYLHjzzTfRtGlTxMfHo0KFCujZsye2bNlidb9PPvkErVq1QpkyZZCWloYhQ4bg6NGjVvfZu3cv+vfvj8qVKyM+Ph7Vq1fHkCFDkJGR4fRvCMb/d9OmTVi2bBnuuOOOEuEVIKpEX331Vbcea/jw4bjzzjuxadMmq/d7IiIqXViBRUREYat27dpo164dPv30U/Tq1QuACDUyMjIwZMgQvPXWW1b3V1UVffv2xdq1a3HHHXegRYsWWLFiBR5++GEcP34c06dPt7r/hg0bsGTJEtx3331ISkrCW2+9hf79++PIkSMoX748brnlFuzZs6fE8JkKFSq4/Rj23HrrrZg3bx5WrFhh1cPr1KlTWLNmDZ5++mmvni8ZrKWmphZf9/HHH2PkyJHo0aMHpk2bhpycHMycORPXXHMNfv/9d6fDvWbOnIkrrrgCffv2RXR0NJYuXYr77rsPFosF999/PwAx3GjcuHFITEwsrrZwVP01ePBgzJgxA8uWLcPAgQOLr8/JycHSpUsxatQoREVF+bze33zzDcqUKeNRZdC+ffswYMAA3HHHHRg5ciT+97//YdSoUWjVqhWuuOIKACJk+eqrrzBw4ECkp6fj9OnTmD17Njp16oQdO3agatWqVo85depUmEwmTJo0CRkZGXj55ZcxfPhwbNq0yeo5Hjt2LDp27IgJEybg0KFD6NevH1JTU1G9evXi+1ksFvTt2xcbNmzA3XffjUaNGmH79u2YPn069uzZg6+++srtv1VvwYIFuHTpEu655x4oioKXX34Zt9xyCw4cOOBWVc+lS5dKVEKmpaXBZDLhn3/+QceOHZGcnIxHHnkEMTExmD17Nq677jqsW7cObdq0ASB6lbVv3x45OTkYP348ypcvj48++gh9+/bF4sWLcfPNNwMAcnNz0bVrVxw5cgTjx49H1apV8fHHH2PNmjVe/e3S/v37AcDq9VpUVIQePXrgmmuuwauvvup0aOEdd9yBuXPnolevXrjzzjtRVFSE9evXY+PGjcWVXi+88AKeeuopDBo0CHfeeSfOnj2Lt99+G9deey1+//13lCtXDgUFBejRowfy8/Mxbtw4VK5cGcePH8e3336LixcvIiUlxeO/zdf/rzPffPMNAPF+ZoRbb70V7733HlauXInrr7/ekMckIqIwoxIREYWZOXPmqADUzZs3q++8846alJSk5uTkqKqqqgMHDlQ7d+6sqqqq1qpVS73hhhuKf++rr75SAahTpkyxerwBAwaoiqKo+/btK74OgBobG2t13Z9//qkCUN9+++3i61555RUVgHrw4MES6+nuY8i/Rz6G2WxWq1evrg4ePNjq8V5//XVVURT1wIEDTp+fkSNHqmXLllXPnj2rnj17Vt23b5/66quvqoqiqE2aNFEtFouqqqp66dIltVy5cupdd91l9funTp1SU1JSrK5/+umnVdvdBvmc6/Xo0UOtU6eO1XVXXHGF2qlTpxL3Xbt2rQpAXbt2raqqqmqxWNRq1aqp/fv3t7rf559/rgJQf/rpJ4/X257U1FS1efPmTu+jV6tWLavlq6qqnjlzRo2Li1Mfeuih4uvy8vJUs9ls9bsHDx5U4+Li1Oeee67E392oUSM1Pz+/+Po333xTBaBu375dVVVVzc/PV8uXL69effXVamFhYfH95s6dqwKwek4//vhj1WQyqevXr7da/qxZs1QA6s8//+z0bxw5cqRaq1Ytq/UGoJYvX149f/588fVff/21CkBdunSp08eTf6O9L7md9+vXT42NjVX3799f/HsnTpxQk5KS1Guvvbb4ugcffFAFYPW3Xbp0SU1PT1dr165d/Jy/8cYbKgD1888/L75fdna2Wq9ePavtzBH5Ovzhhx/Us2fPqkePHlUXLlyoli9fXi1Tpox67Nix4ucKgPrYY4+5fB7XrFmjAlDHjx9f4r7ydXjo0CE1KipKfeGFF6xu3759uxodHV18/e+//64CUBctWuT077DH6P+vnqP3wJtvvlkFoF64cMGtx5HvMWfPnrV7+4ULF1QA6s033+z2uhERUWThEEIiIgprgwYNQm5uLr799ltcunQJ3377rcPhg8uXL0dUVBTGjx9vdf1DDz0EVVXx3XffWV3frVs31K1bt/jnZs2aITk5ucQQPGe8eQyTyYThw4fjm2++waVLl4qvnz9/Ptq3b4/09HSXy83OzkaFChVQoUIF1KtXD5MmTUKHDh3w9ddfQ1EUAMCqVatw8eJFDB06FOfOnSv+ioqKQps2bbB27VqnyyhTpkzx9xkZGTh37hw6deqEAwcOuBzSZI+iKBg4cCCWL19u1ST6s88+Q7Vq1Yqb9fu63pmZmUhKSvJo3Ro3boyOHTsW/1yhQgU0aNDA6v8YFxcHk0nsWpnNZvz7779ITExEgwYNsG3bthKPOXr0aKsG9vLx5WNu2bIF//77L+666y6rHm/Dhw+3qqIDgEWLFqFRo0Zo2LCh1XMih7+5ek4cGTx4sNWybNfRlcmTJ2PVqlVWX3Io6MqVK9GvXz/UqVOn+P5VqlTBsGHDsGHDBmRmZgIQr9vWrVtbTdaQmJiIu+++G4cOHcKOHTuK71elShWryrqEhATcfffdHv3N3bp1Q4UKFVCjRg0MGTIEiYmJ+PLLL1GtWjWr+40ZM8blY33xxRdQFMVu1aR8HS5ZsgQWiwWDBg2y+t9VrlwZl19+efH/TlZYrVixwu4wW2/4+v91Rv7/PH2tOZKYmAgAVu+JRERUunAIIRERhbUKFSqgW7duWLBgAXJycmA2mx0ODTt8+DCqVq1a4oCqUaNGxbfr1axZs8RjpKam4sKFC26vn7ePcdttt2HatGn48ssvcdttt2H37t3YunUrZs2a5dZy4+PjsXTpUgCiL9DLL7+MM2fOWIVOe/fuBaD1+LGVnJzsdBk///wznn76afz6668lDqgzMjK8GtI0ePBgvPHGG/jmm28wbNgwZGVlYfny5cVDnIxY7+TkZI8Pgt35P8peR++++y4OHjxo1a/L3nBR28eUQYJ8TLk91qtXz+p+0dHRJYZI7t27Fzt37rQavqp35swZR3+aU67W0ZWmTZuiW7duJa4/deoUcnJy7PZza9SoESwWC44ePYorrrgChw8fLh5OaHs/QDxPTZo0weHDh1GvXr3i7UTytGfcjBkzUL9+fURHR6NSpUpo0KBBcTApRUdHWw3hdGT//v2oWrUq0tLSHN5n7969UFUVl19+ud3b5VC+9PR0TJw4Ea+//jrmz5+Pjh07om/fvhgxYoRXrzXA9/+vM/J1eOnSJUNmaJWhtlGBGBERhR8GWEREFPaGDRuGu+66C6dOnUKvXr0MOVgCUNxvyZZq0/DdH4/RuHFjtGrVCp988gluu+02fPLJJ4iNjcWgQYPcXq4+OOjRowcaNmyIe+65p7g3jcViASD6SVWuXLnEY+irfmzt378fXbt2RcOGDfH666+jRo0aiI2NxfLlyzF9+vTix/ZU27ZtUbt2bXz++ecYNmwYli5ditzcXAwePLj4Pr6sNwA0bNgQf/zxBwoKCqwqoJxx5//44osv4qmnnsLtt9+O559/vrjX04MPPmj3+TBi+5IsFguaNm2K119/3e7tNWrU8PgxAWPXMVy0bt26uDeVI/pqO19ZLBYoioLvvvvO7vMtK48A4LXXXsOoUaPw9ddfY+XKlRg/fjxeeuklbNy40a1AzZY//79ygoTt27dbVS966++//wZQMtAlIqLSgwEWERGFvZtvvhn33HMPNm7ciM8++8zh/WrVqoUffvgBly5dsjqLv2vXruLbPWVb7WGk2267DRMnTsTJkyexYMEC3HDDDSWGjrmrSpUqmDBhAp599lls3LgRbdu2LR7aWLFiRbtVMs4sXboU+fn5+Oabb6yqOOwNVfP0ORo0aBDefPNNZGZm4rPPPkPt2rXRtm3b4tt9WW8A6NOnD3799Vd88cUXGDp0qMe/78jixYvRuXNnfPjhh1bXX7x4sbjBvyfk9rhv3z507ty5+PqioiIcOnQIzZo1K76ubt26+PPPP9G1a1e/bpNGqVChAhISErB79+4St+3atQsmk6k4dKtVq5bD+8nb5eXff/8NVVWtngN7vxsodevWxYoVK3D+/HmHVVh169aFqqpIT09H/fr1XT5m06ZN0bRpUzz55JP45Zdf0KFDB8yaNQtTpkwxevV90qdPH7z00kv45JNPDAmwPv74YwAijCciotKJPbCIiCjsJSYmYubMmXjmmWfQp08fh/fr3bs3zGYz3nnnHavrp0+fDkVRimcy9ETZsmUBiJDCaEOHDoWiKHjggQdw4MABjBgxwqfHGzduHBISEjB16lQA4kAwOTkZL774IgoLC0vc/+zZsw4fS1Zu6Cs1MjIyMGfOnBL3LVu2rEfPz+DBg5Gfn4+PPvoI33//fYmqM1/WGwDuvfdeVKlSBQ899BD27NlT4vYzZ854FQZERUWVqFxZtGgRjh8/7vFjAcBVV12F8uXL4/3330dRUVHx9fPnzy8xxGvQoEE4fvw43n///RKPk5ubi+zsbK/WwV+ioqLQvXt3fP3118WzYwJixsEFCxbgmmuuKR6C1rt3b/z222/49ddfi++XnZ2N9957D7Vr10bjxo2L73fixAksXry4+H45OTl47733AvNH2dG/f3+oqopnn322xG1yW7nlllsQFRWFZ599tsT2o6oq/v33XwCip5R+OwBEmGUymZCfn++nv8B77dq1Q8+ePfHBBx/YnQWzoKAAkyZNcuuxFixYgA8++ADt2rVD165dDV5TIiIKF6zAIiKiiDBy5EiX9+nTpw86d+6MJ554AocOHULz5s2xcuVKfP3113jwwQetmq27q1WrVgCAJ554AkOGDEFMTAz69OlTHGz5okKFCujZsycWLVqEcuXK4YYbbvDp8cqXL4/Ro0fj3Xffxc6dO9GoUSPMnDkTt956K1q2bIkhQ4agQoUKOHLkCJYtW4YOHTqUCPuk7t27IzY2Fn369ME999yDrKwsvP/++6hYsSJOnjxpdd9WrVph5syZmDJlCurVq4eKFSs67F8FAC1btkS9evXwxBNPID8/32r4ICB663i73oDo8/Pll1+id+/eaNGiBUaMGFH8f9y2bRs+/fRTtGvXzt2ntdiNN96I5557DqNHj0b79u2xfft2zJ8/36pJuSdiY2PxzDPPYNy4cejSpQsGDRqEQ4cOYe7cuahbt65VldGtt96Kzz//HPfeey/Wrl2LDh06wGw2Y9euXfj888+xYsUKl8PiAm3KlClYtWoVrrnmGtx3332Ijo7G7NmzkZ+fj5dffrn4fo899hg+/fRT9OrVC+PHj0daWho++ugjHDx4EF988UXxUL677roL77zzDm677TZs3boVVapUwccff4yEhIRg/Yno3Lkzbr31Vrz11lvYu3cvevbsCYvFgvXr16Nz584YO3Ys6tatiylTpuDxxx/HoUOH0K9fPyQlJeHgwYP48ssvcffdd2PSpElYs2YNxo4di4EDB6J+/fooKirCxx9/jKioKPTv3z9of6Mz8+bNQ/fu3XHLLbegT58+6Nq1K8qWLYu9e/di4cKFOHnyJF599VWr31m8eDESExNRUFCA48ePY8WKFfj555/RvHlzLFq0KEh/CRERhQIGWEREVGqYTCZ88803mDx5Mj777DPMmTMHtWvXxiuvvIKHHnrIq8e8+uqr8fzzz2PWrFn4/vvvYbFYcPDgQUMCLEAMI/z2228xaNAgxMXF+fx4EydOxKxZszBt2jTMnTsXw4YNQ9WqVTF16lS88soryM/PR7Vq1dCxY0eMHj3a4eM0aNAAixcvxpNPPolJkyahcuXKGDNmDCpUqIDbb7/d6r6TJ0/G4cOH8fLLL+PSpUvo1KmT0wALEFVYL7zwAurVq4eWLVuWuN3b9ZbatGmDv//+G6+88gqWLVuGjz/+GCaTCY0aNcJjjz2GsWPHunwMW//3f/+H7OxsLFiwAJ999hlatmyJZcuW4bHHHvP4saSxY8dCVVW89tprmDRpEpo3b45vvvkG48ePR3x8fPH9TCYTvvrqK0yfPh3z5s3Dl19+iYSEBNSpUwcPPPCAW0PTAu2KK67A+vXr8fjjj+Oll16CxWJBmzZt8Mknn1g1ba9UqRJ++eUXPProo3j77beRl5eHZs2aYenSpVahbkJCAlavXo1x48bh7bffRkJCAoYPH45evXqhZ8+ewfgTAQBz5sxBs2bN8OGHH+Lhhx9GSkoKrrrqKrRv3774Po899hjq16+P6dOnF1dr1ahRA927d0ffvn0BAM2bN0ePHj2wdOlSHD9+HAkJCWjevDm+++47qyG2oaRChQr45Zdf8O677+Kzzz7DE088gYKCAtSqVQt9+/bFAw88UOJ35OyO8fHxuOyyy9CiRQv873//w7Bhwwx5DyQiovClqJHchZOIiCjMff311+jXrx9++uknQ/rIUPizWCyoUKECbrnlFrtDBomIiIgiEXtgERERhbD3338fderUwTXXXBPsVaEgyMvLK9EXad68eTh//jyuu+664KwUERERURBwCCEREVEIWrhwIf766y8sW7YMb775ZljMLEfG27hxIyZMmICBAweifPny2LZtGz788EM0adIEAwcODPbqEREREQUMhxASERGFIEVRkJiYiMGDB2PWrFmIjuY5p9Lo0KFDGD9+PH777TecP38eaWlp6N27N6ZOnYqKFSsGe/WIiIiIAoYBFhERERERERERhTT2wCIiIiIiIiIiopDGAIuIiIiIiIiIiEJaqWyoYbFYcOLECSQlJbEpLhERERERERGRn6mqikuXLqFq1aowmTyvpyqVAdaJEydQo0aNYK8GEREREREREVGpcvToUVSvXt3j3yuVAVZSUhIA8aQlJycHeW2MV1hYiJUrV6J79+6IiYkpdcsPhXXg8rkNcPncBrh8bgNcPrcBLp/bAJfPbYDL5zYQ7OWHkszMTNSoUaM4k/FUqQyw5LDB5OTkiA2wEhISkJycHLQXaDCXHwrrwOVzG+DyuQ1w+dwGuHxuA1w+twEun9sAl89tINjLD0XetnJiE3ciIiIiIiIiIgppDLCIiIiIiIiIiCikMcAiIiIiIiIiIqKQFtIB1tSpU6EoCh588MHi6/Ly8nD//fejfPnySExMRP/+/XH69OngrSQRERERERERERnCbDYjLy+vxFfINnHfvHkzZs+ejWbNmlldP2HCBCxbtgyLFi1CSkoKxo4di1tuuQU///xzkNaUiIiIiIiIiIh8oaoqTp06hYsXL9q9PSQDrKysLAwfPhzvv/8+pkyZUnx9RkYGPvzwQyxYsABdunQBAMyZMweNGjXCxo0b0bZt22CtMhEREREREREReUmGVxUrVkRCQkKJ2QpDMsC6//77ccMNN6Bbt25WAdbWrVtRWFiIbt26FV/XsGFD1KxZE7/++qvDACs/Px/5+fnFP2dmZgIQ01kWFhb66a8IHvk3BetvC/byQ2EduHxuA1w+twEun9sAl89tgMvnNsDlcxvg8rkNBHv5ocTZc2A2m4vDq/Lly9u9j6KqquqvlfPGwoUL8cILL2Dz5s2Ij4/HddddhxYtWuCNN97AggULMHr0aKswCgBat26Nzp07Y9q0aXYf85lnnsGzzz5b4voFCxYgISHBL38HEREREREREREJOTk5GDZsGDIyMpCcnGx1W15eHg4ePIjatWujTJkydn8/pCqwjh49igceeACrVq1CfHy8YY/7+OOPY+LEicU/Z2ZmokaNGujevXuJJy0SFBYWYtWqVbj++usRExNT6pYfCuvA5XMb4PK5DXD53Aa4fG4DXD63AS6f2wCXz20g2MsPJXI0nDO2wwb1QirA2rp1K86cOYOWLVsWX2c2m/HTTz/hnXfewYoVK1BQUICLFy+iXLlyxfc5ffo0Kleu7PBx4+LiEBcXV+L6mJiYiN6Agv33BXv5obAOXD63AS6f2wCXz22Ay+c2wOVzG+DyuQ1w+dwGgr38UODr3x9SAVbXrl2xfft2q+tGjx6Nhg0b4tFHH0WNGjUQExOD1atXo3///gCA3bt348iRI2jXrl0wVpmIiIiIiIiIiPwspAKspKQkNGnSxOq6smXLonz58sXX33HHHZg4cSLS0tKQnJyMcePGoV27dpyBkIiIiIiIiIgoQoVUgOWO6dOnw2QyoX///sjPz0ePHj3w7rvvBnu1iIiIiIiIiIjIT0I+wPrxxx+tfo6Pj8eMGTMwY8aM4KwQEREREREREREFVMgHWEREREREREREVLqoKpCTo/3MAIuIiIiIiIiIiEJKTg6QmKj9bAreqhAREREREREFTkEBMHw48L//BXtNiMhTDLCIiIiIiIioVNiyBViwAJg6NdhrQkSuJCQAWVnaF4cQEhERERERUamQn299SUShS1GAsmW1n1mBRURERERERKVCYaG4LCoK7noQkecYYBEREREREVGpIIMrGWQRUfhggEVERERERESlggyuGGARhR8GWERERERERFQqyAosDiEkCj8MsIiIiIiIiKhUYAUWUfhigEVERERERESlAiuwiMIXAywiIiIiIiIqFWTlldkMqGpw14WIPMMAi4iIiIiIiEoFfeUVhxEShRcGWERERERERFQq6EMrDiMkCj0Wi8XhbdEBXA8iIiIiIiKioGEFFlFoio2NhclkwokTJ1ChQgXExsZCURSr+zDAIiIiIiIiolJBH1oxwCIKHSaTCenp6Th58iROnDhh9z4MsIiIiIiIiKhU0FdgcQghUWiJjY1FzZo1UVRUBLPZXOJ2BlhERERERERUKrACiyi0KYqCmJgYxMTElLiNTdyJiIiIiIioVGAFFlH4YoBFREREREREpQKbuBOFLwZYREREREREVCpwCCFR+GKARURERERERKUChxAShS8GWERERERERFQqsAKLKHwxwCIiIiIiIqJSgT2wiMIXAywiIiIiIiIqFfShFYcQEoUXBlhERERERERUKrACiyh8McAiIiIiIiKiUoE9sIjCFwMsIiIiIiIiKhU4CyFR+GKARURERERERKUCK7CIwhcDLCIiIiIiIioVWIFFFL4YYBEREREREVGpwAosovDFAIuIiIiIiIhKBc5CSBS+GGARERERERFRqaAPrTiEkCi8MMAiIiIiIiKiUoEVWEThiwEWERERERERlQrsgUUUvhhgERERERERUanAWQiJwhcDLCIiIiIiIioVOISQKHwxwCIiIiIiIqJSgU3cicIXAywiIiIiIiIqFViBRRS+GGARERERERFRqcAm7kThiwEWERERERERlQps4k4UvhhgERERERERUanACiyi8MUAi4iIiIiIiEoF9sAiCl8MsIiIiIiIiKhU4CyEROGLARYRERERERGVCqzAIgpfDLCIiIiIiIioVGAFFlH4YoBFREREREREpQIrsIjCFwMsIiIiIiIiingWi/iSGGARhRcGWERERERERBTxbIcMcgghUXhhgEVEREREREQRz7biihVYROGFARYRERERERFFPNuKKwZYROGFARYRERERERFFPNvAikMIicILAywiIiIiIiKKeKzAIgpvDLCIiIiIiIgo4jHAIgpvDLCIiIiIiIgo4nEIIVF4Y4BFREREREREEY8VWEThjQEWERERERERRTxWYBGFNwZYREREREREFPFYgUUU3hhgERERERERUcSzDawYYBGFFwZYREREREREFPFsK7A4hJAovDDAIiIiIiIioojHCiyi8MYAi4iIiIiIiCIee2ARhTcGWERERERERBTxZGAVEyMuOYSQKLwwwCIiIiIiIqKIJwOrMmXEJSuwiMILAywiIiIiIiKKeDKwkgEWK7CIwgsDLCIiIiIiIop4rMAiCm8MsIiIiIiIiCji2avAUtXgrQ8ReYYBFhEREREREUU82wosADCbg7MuROQ5BlhEREREREQU8WQFVkJCyeuIKPQxwCIiIiIiIqKIZ68CiwEWUfhggEVEREREREQRTwZY8fElryOi0McAi4iIiIiIiCKerLbSB1iswCIKHwywiIiIiIiIKOLJaquYGPGlv46IQh8DLCIiIiIiIop4stoqOlp86a8jotDHAIuIiIiIiIginr0KLAZYROGDARYRERERERFFPHsVWBxCSBQ+Qi7AmjlzJpo1a4bk5GQkJyejXbt2+O6774pvz8vLw/3334/y5csjMTER/fv3x+nTp4O4xkRERERERBTqWIFFFN5CLsCqXr06pk6diq1bt2LLli3o0qULbrrpJvzzzz8AgAkTJmDp0qVYtGgR1q1bhxMnTuCWW24J8loTERERERFRKNNXYDHAIgo/0cFeAVt9+vSx+vmFF17AzJkzsXHjRlSvXh0ffvghFixYgC5dugAA5syZg0aNGmHjxo1o27ZtMFaZiIiIiIiIQpy+AotDCInCT8gFWHpmsxmLFi1CdnY22rVrh61bt6KwsBDdunUrvk/Dhg1Rs2ZN/Prrrw4DrPz8fOTn5xf/nJmZCQAoLCxEYQRG7vJvCtbfFuzlh8I6cPncBrh8bgNcPrcBLp/bAJfPbYDLD61tID/fBCAKimJGdLQJgILc3CIUFqoBWX4wlPblh8I6BHv5ocTX50BRVdV/r1Yvbd++He3atUNeXh4SExOxYMEC9O7dGwsWLMDo0aOtwigAaN26NTp37oxp06bZfbxnnnkGzz77bInrFyxYgISEBL/8DURERERERBQ6Zs9uhu++S8fgwbvwyy9VcfRoMp5/fgOaNv032KtGVCrk5ORg2LBhyMjIQHJysse/H5IVWA0aNMAff/yBjIwMLF68GCNHjsS6deu8frzHH38cEydOLP45MzMTNWrUQPfu3b160kJdYWEhVq1aheuvvx4xcnB3KVp+KKwDl89tgMvnNsDlcxvg8rkNcPncBrj80NoGli6NBwA0bHg5duww4ehRoFWrtujWzb8VWKX5fxDs5YfCOgR7+aFEjobzVkgGWLGxsahXrx4AoFWrVti8eTPefPNNDB48GAUFBbh48SLKlStXfP/Tp0+jcuXKDh8vLi4OcXFxJa6PiYmJ6A0o2H9fsJcfCuvA5XMb4PK5DXD53Aa4fG4DXD63AS4/NLYBi0XMYRYfH4XYWHG9qkYjEKsW7OegtC8/FNYh2MsPBb7+/SE3C6E9FosF+fn5aNWqFWJiYrB69eri23bv3o0jR46gXbt2QVxDIiIiIiIiCmX6WQjZxJ0o/IRcBdbjjz+OXr16oWbNmrh06RIWLFiAH3/8EStWrEBKSgruuOMOTJw4EWlpaUhOTsa4cePQrl07zkBIREREREREDulnIZSFIOyrTRQ+Qi7AOnPmDG677TacPHkSKSkpaNasGVasWIHrr78eADB9+nSYTCb0798f+fn56NGjB959990grzURERERERGFMn0FFgMsovATcgHWhx9+6PT2+Ph4zJgxAzNmzAjQGhEREREREVG401dgcQghUfgJix5YRERERERERL6QYRUrsIjCEwMsIiIiIiIiingyrGIPLKLwxACLiIiIiIiIIp6+AotDCInCDwMsIiIiIiIiinhs4k4U3hhgERERERERUcRjE3ei8MYAi4iIiIiIiCIeK7CIwhsDLCIiIiIiIop4+gosBlhE4YcBFhEREREREUU8fQUWhxAShR8GWERERERERBTxWIFFFN4YYBEREREREVHEYw8sovDGAIuIiIiIiIgiHmchJApvDLCIiIiIiIgo4oVKBZbFApw+HfjlEoU7BlhEREREREQU8UKlAmvsWKBKFWDbtsAvmyicMcAiIiIiIiKiiBcqFVh//QWoKrBjR+CXTRTOGGARERERERFRxAuVWQjz860vicg9DLCIiIiIiIgo4ukrsII5hDAvT1wWFAR+2UThLNrXB9i5cycWLlyI9evX4/Dhw8jJyUGFChVw5ZVXokePHujfvz/i4uKMWFciIiIiIiIir7ACiyi8eV2BtW3bNnTr1g1XXnklNmzYgDZt2uDBBx/E888/jxEjRkBVVTzxxBOoWrUqpk2bhny+OomIiIiIiCgIVBUwm8X3we6BxQCLyDteV2D1798fDz/8MBYvXoxy5co5vN+vv/6KN998E6+99hr+7//+z9vFEREREREREXlFP1Qw2LMQyiGEDLCIPON1gLVnzx7EyNjaiXbt2qFdu3YoDEa0TURERERERKWePqhiBRZRePJ6CKE74ZUv9yciIiIiIiIygj6oCnYFFgMsIu8YOgvhyZMnMWDAAFSoUAFpaWno06cPDhw4YOQiiIiIiIiIiDwSKhVYqsohhETeMjTAuv3229GkSROsW7cOa9asQaVKlTBs2DAjF0FERERERETkEX1QFRUVvABLvzwGWESe8SnAeuCBB5CdnV388759+/Doo4+icePGaNGiBR544AHs3r3b55UkIiIiIiIi8paswIqOBhQleEMIZfUVwACLyFNeN3EHgOrVq6NVq1Z4+eWX0bdvXwwePBht2rRB7969UVhYiCVLlmD48OFGrSsRERERERGRx2TlkwyuglWBpQ+tGGARecanAOvhhx/GgAEDcN9992Hu3Ll4++230aZNG/z4448wm814+eWXMWDAAKPWlYiIiIiIiMhjstJKBlcMsIjCj08BFgCkp6fju+++w/z589GpUyc88MADePXVV6EoihHrR0REREREROQT2wqsUBhCWFAQ2GUThTtDmrj/+++/GD58ODZv3ozff/8d7dq1w19//WXEQxMRERERERH5hBVYROHPpwBr9erVqFSpEipUqIDq1atj165d+N///oeXXnoJQ4cOxSOPPILc3Fyj1pWIiIiIiIjIY/om7gADLKJw5FOAdf/99+ORRx5BTk4O3nnnHTz44IMAgM6dO2Pbtm2IiYlBixYtDFhNIiIiIiIiIu8UFYkWNzK4CoUhhAywiDzjU4B18uRJ3HDDDYiPj0fPnj1x9uzZ4tvi4uLwwgsvYMmSJT6vJBEREREREZG3OAshUfjzqYl73759MWDAAPTt2xcbNmxA7969S9zniiuu8GURRERERERERD6x7YHFCiyi8ONTBdaHH36Ie+65BxkZGRgxYgTeeOMNg1aLiIiIiIiIyBiswCIKfz5VYMXGxmLcuHFGrQsRERERERGR4TgLIVH487oCa+PGjW7fNycnB//884+3iyIiIiIiIiLymu0shBxCSBR+vA6wbr31VvTo0QOLFi1Cdna23fvs2LED//d//4e6deti69atXq8kERERERERkbdkpZVtBZaqAmZz4NaDFVhE3vN6COGOHTswc+ZMPPnkkxg2bBjq16+PqlWrIj4+HhcuXMCuXbuQlZWFm2++GStXrkTTpk2NXG8iIiIiIiIit9hWYMkACxDhVlRUYNaDARaR97wOsGJiYjB+/HiMHz8eW7ZswYYNG3D48GHk5uaiefPmmDBhAjp37oy0tDQj15eIiIiIiIjII7YVWNG6I+FADiPUDyEsKgIsFsDk09RqRKWHT03cpauuugpXXXWVEQ9FREREREREZChXFViBYlt1VVAAxMcHbvlE4YxZLxEREREREUU021kIg1WBZRtgcRghkfsYYBEREREREVFEKypSAGjBlaJofa8CWYGlH0IIMMAi8gQDLCIiIiIiIopoMqTSV17JaqxgDiFkgEXkPgZYREREREREFNFshxACWpgVrCbuAAMsIk8YHmDl2b4iiYiIiIiIiIKIFVhE4c+QAMtiseD5559HtWrVkJiYiAMHDgAAnnrqKXz44YdGLIKIiIiIiIjIK/YqsBhgEYUXQwKsKVOmYO7cuXj55ZcRGxtbfH2TJk3wwQcfGLEIIiIiIiIiIq/Yq8DiEEKi8GJIgDVv3jy89957GD58OKLkVA4Amjdvjl27dhmxCCIiIiIiIiKvsAKLKPwZEmAdP34c9erVK3G9xWJBYSDfDYiIiIiIiIhshEoFFgMsIu8ZEmA1btwY69evL3H94sWLceWVVxqxCCIiIiIiIiKvmM3iMtgVWLZDCAsKArdsonAX7fourk2ePBkjR47E8ePHYbFYsGTJEuzevRvz5s3Dt99+a8QiiIiIiIiIiLzCWQiJwp8hFVg33XQTli5dih9++AFly5bF5MmTsXPnTixduhTXX3+9EYsgIiIiIiIi8oq9HljBbOIuW0czwCJynyEVWADQsWNHrFq1yqiHIyIiIiIiIjKEDKlCpQIrORm4cIEBFpEnDKnAIiIiIiIiIgpVhYUKgOD3wJKBVUqK9c9E5JohFVipqalQFKXE9YqiID4+HvXq1cOoUaMwevRoIxZHRERERERE5DZ7FVjBHEKYnCwuGWARuc+wJu4vvPACevXqhdatWwMAfvvtN3z//fe4//77cfDgQYwZMwZFRUW46667jFgkERERERERkVtklVWoVGAxwCLynCEB1oYNGzBlyhTce++9VtfPnj0bK1euxBdffIFmzZrhrbfeYoBFREREREREARUqFVgcQkjkPUN6YK1YsQLdunUrcX3Xrl2xYsUKAEDv3r1x4MABIxZHRERERERE5LZQqMCyWICCAvE9K7CIPGdIgJWWloalS5eWuH7p0qVIS0sDAGRnZyMpKcmIxRERERERERG5LRRmIZThFcAAi8gbhgwhfOqppzBmzBisXbu2uAfW5s2bsXz5csyaNQsAsGrVKnTq1MmIxRERERERERG5TQZY+gqsQA8hlA3cAQZYRN4wJMC666670LhxY7zzzjtYsmQJAKBBgwZYt24d2rdvDwB46KGHjFgUERERERERkUdCoQJLH1YlJopLfVUWETlnSIAFAB06dECHDh2MejgiIiIiIiIiQ8iQKhQCrLg4ID7e+joics2wAMtisWDfvn04c+YMLBaL1W3XXnutUYshIiIiIiIi8kgoDSGMixNfAAMsIk8YEmBt3LgRw4YNw+HDh6GqqtVtiqLAbDYbsRgiIiIiIiIij4VSBVZ8PAMsIm8YEmDde++9uOqqq7Bs2TJUqVIFiqIY8bBEREREREREPisqEseo+gqsYA4hZIBF5DlDAqy9e/di8eLFqFevnhEPR0RERERERGQYexVYHEJIFF5MRjxImzZtsG/fPiMeioiIiIiIiMhQ9npgcQghUXgxpAJr3LhxeOihh3Dq1Ck0bdoUMfp3BQDNmjUzYjFEREREREREHpMBVjArsDiEkMg3hgRY/fv3BwDcfvvtxdcpigJVVdnEnYiIiIiIiIIqFCqw5BBCVmAReceQAOvgwYNGPAwRERERERGR4exVYAWziXtsrPV1ROSaIQFWrVq1jHgYIiIiIiIiIsPJkEpfgcUm7kThxZAAS9qxYweOHDmCgoICq+v79u1r5GKIiIiIiIiI3BZKFVj6IYQ2h85E5IQhAdaBAwdw8803Y/v27cW9rwDRBwsAe2ARERERERFR0NirwArmEEJWYBF5zmTEgzzwwANIT0/HmTNnkJCQgH/++Qc//fQTrrrqKvz4449GLIKIiIiIiIjIK6EwCyGHEBL5xpAKrF9//RVr1qzBZZddBpPJBJPJhGuuuQYvvfQSxo8fj99//92IxRARERERERF5LJQqsDgLIZF3DKnAMpvNSEpKAgBcdtllOHHiBADR3H337t1GLIKIiIiIiIjIY6oKFBWJ9jbBrMCyN4SwsBCwWAKzfKJwZ0iA1aRJE/z5558AgDZt2uDll1/Gzz//jOeeew516tTx6LFeeuklXH311UhKSkLFihXRr1+/EiFYXl4e7r//fpQvXx6JiYno378/Tp8+bcSfQkRERERERBHEYlGKvw9mBZYcQqivwALYyJ3IXYYEWE8++SQs/8XGzz33HA4ePIiOHTti+fLleOuttzx6rHXr1uH+++/Hxo0bsWrVKhQWFqJ79+7Izs4uvs+ECROwdOlSLFq0COvWrcOJEydwyy23GPGnEBERERERUQQxm7UAKxRmIdRXYOmvJyLnDOmB1aNHj+Lv69Wrh127duH8+fNITU0tnonQXd9//73Vz3PnzkXFihWxdetWXHvttcjIyMCHH36IBQsWoEuXLgCAOXPmoFGjRti4cSPatm3r+x9EREREREREEcFs1uo29BVYwWziHhurXc8Ai8g9hlRg2ZOWluZxeGVPRkZG8eMBwNatW1FYWIhu3boV36dhw4aoWbMmfv31V5+XR0RERERERJEj1Cqw4uMBRdFCLAZYRO4xpAIrOzsbU6dOxerVq3HmzJni4YTSgQMHvHpci8WCBx98EB06dECTJk0AAKdOnUJsbCzKlStndd9KlSrh1KlTdh8nPz8f+bp3hczMTABAYWEhCgP1bhVA8m8K1t8W7OWHwjpw+dwGuHxuA1w+twEun9sAl89tgMsPjW1ANnAHAFUtLA6sRMFFNAoKVBQW+qcMS/8c5OZGATAhOtqMwkILYmOjUVCgICtLWyd/Lj8Ygr38UFiHYC8/lPj6HCiqqqq+rsTQoUOxbt063HrrrahSpUqJyqsHHnjAq8cdM2YMvvvuO2zYsAHVq1cHACxYsACjR4+2CqQAoHXr1ujcuTOmTZtW4nGeeeYZPPvssyWuX7BgARISErxaNyIiIiIiIgp958/H4/bbe8BksmDJkqXF1//552V4+ukOqFkzE2+9tdbv6/HCC62xeXMV3HffH+je/TBuvbUnLl2Kw1tvrUHNmpf8vnyiYMvJycGwYcOQkZGB5ORkj3/fkAqs7777DsuWLUOHDh2MeDgAwNixY/Htt9/ip59+Kg6vAKBy5cooKCjAxYsXraqwTp8+jcqVK9t9rMcffxwTJ04s/jkzMxM1atRA9+7dvXrSQl1hYSFWrVqF66+/HjH6Qd6lZPmhsA5cPrcBLp/bAJfPbYDL5zbA5XMb4PJDYxuYP38DACAmRkHv3r2Lb0tKEoUX8fFJVtcbvXz5HMyYEQ8AuOqqJujd+wokJUXj0iWgTZuOuPJKvyw+6P+DYC8/FNYh2MsPJXI0nLcMCbBSU1OLe1T5SlVVjBs3Dl9++SV+/PFHpKenW93eqlUrxMTEYPXq1ejfvz8AYPfu3Thy5AjatWtn9zHj4uIQp5/m4T8xMTERvQEF++8L9vJDYR24fG4DXD63AS6f2wCXz22Ay+c2wOUHd/myB1ZMjGK1HvHx2u3+Xr+YmBgUFIgW1GXLRiMmRpuJ0GKJgb+fnmD/D4K9/FBYh2AvPxT4+vcb0sT9+eefx+TJk5GTk+PzY91///345JNPsGDBAiQlJeHUqVM4deoUcnNzAQApKSm44447MHHiRKxduxZbt27F6NGj0a5dO85ASERERERERFbkLITRNuUbgW7iLmchlMGZDLDYxJ3IPV5XYF155ZVWva727duHSpUqoXbt2iVStW3btrn9uDNnzgQAXHfddVbXz5kzB6NGjQIATJ8+HSaTCf3790d+fj569OiBd99917s/hIiIiIiIiCKWVoFlfX2wZiGUwRUDLCLPeB1g9evXz8DV0LjTUz4+Ph4zZszAjBkz/LIOREREREREFBlkgGVbgSV/LvLPBIQlyAosBlhE3vE6wHr66aeNXA8iIiIiIiIiw8khhKFSgcUhhETe8akH1oULF/D222/b7SSfkZHh8DYiIiIiIiKiQHBUgcUhhEThxacA65133sFPP/2E5OTkErelpKRg/fr1ePvtt31ZBBEREREREZHXHFVgcQghUXjxKcD64osvcO+99zq8/Z577sHixYt9WQQRERERERGR10KtAotDCIm841OAtX//flx++eUOb7/88suxf/9+XxZBRERERERE5DVHsxDKQMtiEV/+ZjuEMDbW+noics6nACsqKgonTpxwePuJEydgMvm0CCIiIiIiIiKvySGEjiqwAP8PIzSbtWXYDiEsKPDvsokihU/p0pVXXomvvvrK4e1ffvklrrzySl8WQUREREREROS1oiL7FVj6n/09jFBfZcUhhETeiXZ9F8fGjh2LIUOGoHr16hgzZgyioqIAAGazGe+++y6mT5+OBQsWGLKiRERERERERJ6yWOz3wNL/7O8KLH1IxSbuRN7xKcDq378/HnnkEYwfPx5PPPEE6tSpAwA4cOAAsrKy8PDDD2PAgAGGrCgRERERERGRp4qK7M9CGMgKLDkDocmkBWcMsIg841OABQAvvPACbrrpJsyfPx/79u2Dqqro1KkThg0bhtatWxuxjkRERERERERecTQLockkviyWwA0hjIsDFEX7Xn8bETnnc4AFAK1bt2ZYRURERERERCFHNnG3rcACRKhVUOD/IYSyAkuGVvrvGWARuYdTBBIREREREVHEclSBBWihVqAqsGQDd4ABFpGnGGARERERERFRxHJVgQX4P8AqKBAhGiuwiLzHAIuIiIiIiIgiljsVWBxCSBT6GGARERERERFRxOIQQqLIYFiAVVRUhB9++AGzZ8/GpUuXAAAnTpxAVlaWUYsgIiIiIiIi8og7Qwj9XYGln4VQio21vo2InDNkFsLDhw+jZ8+eOHLkCPLz83H99dcjKSkJ06ZNQ35+PmbNmmXEYoiIiIiIiIg8EgoVWHIIob0KrIIC/y6bKFIYUoH1wAMP4KqrrsKFCxdQpkyZ4utvvvlmrF692ohFEBEREREREXlMBlj2KrACPYSQPbCIvGdIBdb69evxyy+/IFbWQP6ndu3aOH78uBGLICIiIiIiIvKYHEJorwIrmEMIGWARecaQCiyLxQKz2Vzi+mPHjiEpKcmIRRARERERERF5rKgoFCqwxDqwiTuR9wwJsLp374433nij+GdFUZCVlYWnn34avXv3NmIRRERERERERB6zWILfA4sVWES+M2QI4WuvvYYePXqgcePGyMvLw7Bhw7B3715cdtll+PTTT41YBBEREREREZHHioqCPwuhbOLOAIvIe4YEWNWrV8eff/6JhQsX4q+//kJWVhbuuOMODB8+3KqpOxEREREREVEghVIFFocQEnnPkAArLy8P8fHxGDFihBEPR0RERERERGSIUKjA4hBCIt8Z0gOrYsWKGDlyJFatWgWLxWLEQxIRERERERH5zGxmBRZRJDAkwProo4+Qk5ODm266CdWqVcODDz6ILVu2GPHQRERERERERF6TAVZwZyEUl/YqsAoLAdaBELlmSIB18803Y9GiRTh9+jRefPFF7NixA23btkX9+vXx3HPPGbEIIiIiIiIiigBffw38+Wfglmc2i8NeexVYgWviLkI0fYAVG6t9X1Dg3+UTRQJDAiwpKSkJo0ePxsqVK/HXX3+hbNmyePbZZ41cBBEREREREYWp/fuBfv2AwYMDt8xQqsCyN4QQYIBF5A5DA6y8vDx8/vnn6NevH1q2bInz58/j4YcfNnIRRERUSvj7TCgREREF3rFj4vLw4cAtM5R6YDmqwGIfLCLXDAmwVqxYgZEjR6JSpUoYM2YMKlWqhJUrV+Lw4cOYOnWqEYsgIqJSZNMmoFIlYNKkYK8JERERGeniRXGZlwfk5gZmmXIIYajNQmgyaevEAIvINcN6YOXm5mLevHk4deoUZs+ejWuvvdaIhyYiolImOxu49Vbg/Hlg+fJgrw0REREZSQZYgPisD4RQqsDSDyEEOBMhkSfsvIQ9d/r0aSQlJRnxUEREVMo9+iiwd6/4/vTp4K4LERERGUsfYP37L1Ctmv+XWVQUmhVY8uesLAZYRO7wOsDKzMxEcnIyAEBVVWRmZjq8r7wfERGRMytXAjNmaD+fPy/OiNrb4SQiIqLwc+GC9n2gKrAsluBXYOXliUt7ARbAAIvIHV4HWKmpqTh58iQqVqyIcuXKQVGUEvdRVRWKosBsNvu0kkREFPkuXABuv118f999wOzZgNkMnDkTmLOzRERE5H+ldwihWAcOISTyntcB1po1a5CWlgYAWLt2rWErREREpdO4ccDx40D9+sArrwBLlgCnTjHAIiIiiiS2QwgDIdSHEOpvJyLHvA6wOnXqVPx9eno6atSoUaIKS1VVHD161Pu1IyKiUmHRImD+fDEbz0cfAQkJQMWKIsBiHywiIqLIEYwKrFAYQsgm7kS+M2QWwvT0dJw9e7bE9efPn0d6eroRiyAiogh18iQwZoz4/vHHgbZtxfeVKolLBlhERESRIxgBlrMKrEAHWKzAIvKeIQGW7HVlKysrC/G2ETMREZHO//2fGELQogUwebJ2PQMsIiKiyBNqFViBGkLIJu5EvvN6CCEATJw4EQCgKAqeeuopJCQkFN9mNpuxadMmtGjRwqcVJCKiyPb33+LyqaeA2FjtegZYREREkSc4PbBEgBUKFVi29R1y36egwL/LJ4oEPgVYv//+OwBRgbV9+3bE6o48YmNj0bx5c0yaNMm3NSQioogmd+iSk62vlwHWmTOBXR8iIiLyn+DMQigGHjmrwPJngKWqHEJIZASfAiw5++Do0aPx5ptvItn26IOIiMgFRzt0FSuKS1ZgERERRQaLBcjM1H4OXIDlugLLn0MIzWaleBgjAywi7/kUYElz5swx4mGIiKgUctQTgkMIiYiIIktmpqhGkgI1hFAGWMGahbCwUGs9zVkIibxnSIAFAFu2bMHnn3+OI0eOoMBmAO+SJUuMWgwREUUYRxVYDLCIiIgii374IBD4IYT2KrAC0cRdH2CxAovIe4bMQrhw4UK0b98eO3fuxJdffonCwkL8888/WLNmDVJSUoxYBBERRShXAdbZs2LIAREREYU3GWCVLSsu8/KA3Fz/Lzf4FVhRxcuPirK+jQEWkfsMCbBefPFFTJ8+HUuXLkVsbCzefPNN7Nq1C4MGDULNmjWNWAQREUUoRwFWhQri0mIJ3BADIiIi8h8ZYFWvroVJgajCclaBFcghhLb7OvrrGGARuWZIgLV//37ccMMNAMTsg9nZ2VAUBRMmTMB7771nxCKIiChCOQqwYmKAtDTxPYcREhERhT8ZYKWmap/xgThJ5awCKzBDCEXZFQMsIt8YEmClpqbi0qVLAIBq1arh77//BgBcvHgROTk5RiyCiIgiUFGRNjzQtqkpwD5YREREkUQGWOXKaQGWvyuwzGZAVV3PQhiICix7+zoMsIjcZ0iAde2112LVqlUAgIEDB+KBBx7AXXfdhaFDh6Jr165GLIIoJJ07B0ybBpw8Gew1IQpP+p01e2clGWARERFFDn2AVb68+N7fAZa+sspZBRaHEBKFPkNmIXznnXeQ99886E888QRiYmLwyy+/oH///njyySeNWARRSHr3XeDpp8UH77RpwV4bovDjboB15kxg1oeIiIj8Rx9gZWeL7/09hFAfTDmrwPLnEMKCAgZYREYwJMBKk/WfAEwmEx577DEjHpYo5B05Ii5ZHULkHbmzZjLZPytasaK45GuMiIgo/OkDLDn7YLArsAIxhLCoyPEQwthYcVlQ4L/lE0UKrwOszMxMt++bnJzs7WKIQtrZs+LSg5cDEen8V7xr94wkwCGEREREkUQfYMnAJtgBFpu4E4UPrwOscuXKQVEUp/dRVRWKosBsNnu7GKKQJoc1McAi8o6jGQglBlhERESRQx9gycDI3wGWrKwymVSYTCWPXwNRgSWHELKJO5FvvA6w1q5da+R6EIUlVmAR+cbdAIs9sIiIiMKfPsCSsxD7uweWDMrsVV8BgZ2FkBVYRL7xOsDq1KmTketBFJZYgUXkG1cBFntgERERRQ59gCUFqgLLXgN3gEMIicKJyagHWr9+PUaMGIH27dvj+PHjAICPP/4YGzZsMGoRRCElLw+4dEl8zwCLyDueDCFU1cCsExEREfmHPsAqX158H6geWKFQgcUhhES+MSTA+uKLL9CjRw+UKVMG27ZtQ/5/r76MjAy8+OKLRiyCKOTI4YMAAywib8mdNXs7dIAWYBUUABkZgVmnSGE2A6dOJTD4IyKikKEPsORE9sGuwOIQQqLwYUiANWXKFMyaNQvvv/8+YnTvDB06dMC2bduMWARRyNEHWNnZ4mCRiDzjqgKrTBkgKUl8z2GEnnnpJRPuvfd6LFrkfMIVIiKiQLBYtJO++gAr2D2wOISQKHwYEmDt3r0b1157bYnrU1JScFHG7EQRxraptBxOSETucxVgAWzk7q3160Vw9eefDLCIiCj4MjO1dgApKVqAlZcH5Ob6b7lFReJzMBQqsDiEkMg3hgRYlStXxr59+0pcv2HDBtSpU8eIRRCFHNuD6UgaRpiRAezaFey1oNLAnQCLjdy9s3u32GE/d44BFhERBZ+sa4iPF19JSVr1kz+HEYZGBRaHEBIZwZAA66677sIDDzyATZs2QVEUnDhxAvPnz8ekSZMwZswYIxZBFHL0QwiByAqw+vcHGjcG7OTSRIbypAKLAZb7MjOBEydEcGX7XkVERBQMtjMQKkpghhHKyipXTdyLivw3YQwDLCJjOHgZe+axxx6DxWJB165dkZOTg2uvvRZxcXGYNGkSxo0bZ8QiiEJOJFdg7dkjPsD37AHq1Qv22lAky8sTlwywjLV7t/Y9AywiIgoFMsBKTdWuS0sT+9TBrMDSDy0sKnI81NAXzoYQxsaKy4IC45dLFGkMCbAURcETTzyBhx9+GPv27UNWVhYaN26MxMRE5ObmokyZMkYshiikRHIFVlaWuLxwIbjrQYHx8suijD8YBbOswPKPnTu17zmEkIiIQoFtBRYAlC8vLv0ZYLmahVAfbPkvwGITdyIjGDKEUIqNjUXjxo3RunVrxMTE4PXXX0d6erqRiyAKGZFcgSUDLM7BEPmOHgUefRQYN86/vR8c8aQHFpu4u0/fw44VWEREFArsBVhyCGFgKrDsjw/UB1b+auTuThP3ggL/DWEkihQ+BVj5+fl4/PHHcdVVV6F9+/b46quvAABz5sxBeno6pk+fjgkTJhixnkQhRx4URokTKhETYBUUaB/erMCKfDt2iEuzOTgzabICyz/0AVZmpsKzukREFHTOAqxA9MByNQuh/r7Gr4PrHlgAhxESueJTgDV58mTMnDkTtWvXxqFDhzBw4EDcfffdmD59Ol5//XUcOnQIjz76qFHrShRSZDVIzZriMlICLFl9BTDACgeqCtx/P/D22979vn6oWTC2YRms2DsjKTHA8pztLKLnzgVnPYiIiKRAVGBlZJS8zlUPLJOp5H2NVlDgegghwGGERK74FGAtWrQI8+bNw+LFi7Fy5UqYzWYUFRXhzz//xJAhQxAlS1OIIpCswJJNziMlwMrO1r7nEMLQt2cP8O67wOTJ3v1+qARYrMAyTmGhNoNoVJQFAIcREhFR8Pm7B9ZLL4kG8StXWl/vqgJLUbTbgjGEUDZxBxhgEbniU4B17NgxtGrVCgDQpEkTxMXFYcKECVAUNoylyJadrQU9kRZgsQIrvMidQX3w6AnroWY+r47HPAmw9K87cuzAAbEDnpCgolo18YJmgEVERMHm7yGEa9eKyvT1662vd1WBpb/NXxVYRUWOhxCaTFqAxgCLyDmfAiyz2YxYXWQcHR2NxMREn1eKKNTJg8G4OKBqVfF9JAZYrMAKfbJvVWGh6GPlqXCowEpK0m5nI3fXZCjZoAGQkiKeYAZYREQUbP4eQnj0qLg8csT6erl/5Gx2QX9XYDkbQqi/ngEWkXNOcmjXVFXFqFGjEPffKy4vLw/33nsvypYta3W/JUuW+LIYopAjDwYrVgRSUsT3kRhgsQIr9Om3u7w8wObt16l//7UONkI1wFIUUYV15IgYRsjJbZ3TAiwVx44xwCIiotDgzwBLVbXgSgZZkgylnHW3CeYQQkDsB2VlMcAicsWnAGvkyJFWP48YMcKnlSEKF7IKpEIFIDlZfM8Ai4JBP3Ngbq5nAZZto+9gbMN5eeLSWYAFWAdY5Jw+wMrMFNMZMcAiIqJg82cPrAsXgJwc8b1tBVZRkWhv46wCK5hDCPXXM8Aics6nAGvOnDlGrQdRWNFXYEVygMUhhKHPNsDyhH74IBC6FVgAG7l7Qv5fGzRQsWcPK7CIiCg0+LMHlj60OnoUsFi02QVlVZWzHlj+H0LougILYIBF5IpPPbCISqvSUoGVkeFdXyUKHNshhJ4IxwCLPbCcU1WtAqthQxXJyaICy6jnLScHmDkTOHbMmMcjIqLSQ1b22wuw8vI8PxGnpx82WFBgfeLGnSbugRpC6Gh/R7aVLijwz/KJIgUDLCIvlJYKLCBy/q5I5UsFlgw6UlPFZSgHWBUriktWYDl3+rQInk0mMUOq0U3cP/0UuO8+4NlnjXk8IiIqHcxmbT9DH2AlJWnBki/DCG2HDep/lqFUMIcQFhayiTuRERhgEXmhtFRgAeyDFeqMGELYurW4DGaA5aikXuIQQvfIUDI9XTynsgLLVYBVVCSqt1yRZ7j5fyAiIk/o9zHkBEiAmKjFiEbuto3b9T+HUgUWhxAS+YYBFpEXHFVguXMAGOqys61/Zh+s0KbfIfQkwMrNBQ4dEt+3aVPysQKFPbCMpQ0fFJcpKa4DrPPngRo1gOHDXT++DLRtg24iIiJn5P5kmTIlP/ON6INlG2DZr8ByvKMuwy1/BFiqygosIqMYEmBl2x7xEkU4exVYqloy/AlHrMAKL/oKLE96YO3ZI7bZtDSgbl1xHQOs8Cer6ho1EpfJyeIJvnDB8U75b78Bp04BK1e6fnz5fhAJ73VERBQ49hq4S0ZUYMnAqkYN658Bzyqw/DGEUN/XigEWkW8MCbAqVaqE22+/HRs2bPD5sX766Sf06dMHVatWhaIo+Oqrr6xuV1UVkydPRpUqVVCmTBl069YNe/fu9Xm5ZJzNmxWMHdsFy5crwV4Vv9FXYCUkaLOcRMIwQgZY4cXbCiwZdDRsqJXyh3KAJXtghWIT959/Bq67DvjzT9f3/fdfYOFCzxvuu8u2AisxsQCKohYv256DB8XlxYuuq0hZgWXf118DXbqUrAAgIiIhI0McF9gLsMqXF5dGDCHs0MH6Z8C9Hlj+HEKoD6U4hJDIN4YEWJ988gnOnz+PLl26oH79+pg6dSpOnDjh1WNlZ2ejefPmmDFjht3bX375Zbz11luYNWsWNm3ahLJly6JHjx7I89fRAHnsiy8UHDuWhIULI3OEqqpaV2ApSmT1wbI9MOUQwtDmbQ8sfaVOMLdfTyuwLlwIvRl6PvwQWLcOmD/f9X2feQYYOhSYN88/62IbYEVFaQcGjoYRHjggLs1m6+3JHlZg2TdrFrB2LbBsWbDXhIgoNLlTgeXtEEKzWZsdVwZY+gosOaN2VJTjx/BnE3d9KCVnG7TFAIvIPYYkDP369cNXX32F48eP495778WCBQtQq1Yt3HjjjViyZAmKPHgn6NWrF6ZMmYKbb765xG2qquKNN97Ak08+iZtuugnNmjXDvHnzcOLEiRKVWhQ8x46JMyynTgV5RfwkK0urnpBVIZEYYMmqMlZghTZvhxDKoKNRo+BWYMl1dhVgpaVpO56hVoV1+LC4dGe99u0TlzI0MlJ2trbDLgMsQATtgOMAS1ZgAa5f76zAsk9WDUTCZwARkT9kZIhLfwwhPHVKhFRRUdrENKFUgSX3dWJi1OL9a1sMsIjcY2iJTIUKFTBx4kT89ddfeP311/HDDz9gwIABqFq1KiZPnoycnByfHv/gwYM4deoUunXrVnxdSkoK2rRpg19//dXX1SeDyDMgJ05E5hBCeRCYkACULSu+j8QAq0oVcckKrNBmxBDCcKjAMpm0wDjU+mDJ0Mid9ZL3OXfO+PXYvVtcXnaZVnUFABUqiHGBriqwAPcDLFZgWZNVA5HwGUBE5A8XLzoeQuhrgCXDqmrVxCy8AHDypLaPEexZCN2ZcZkBFpF7nLyMPXf69Gl89NFHmDt3Lg4fPowBAwbgjjvuwLFjxzBt2jRs3LgRK93pEuvAqf9KeirJsST/qVSpUvFt9uTn5yNf926Q+d8eZmFhIQr9NVdqEMm/KVh/29GjokzixIngrYM/nwMRzEWjQgUVhYXiEzEpKQqACefPF6GwUA36/8CX5V+6FA1AQbVqFhw/bsK//5pRWGgJ2PKN4u467N8PfPWVCePGWRyWdftz+b6S/y8AyMrS/lfOlm82A3v2iN+rV68QZcoAQAwuXVKRn1/k8OygJ9z9+/PzxXqYTIUudxorVozGyZMKTpwoQrNmrqf8DMT/wGIBjh4Vf8Pp09p7gqPlnz4t72tBYaHZ0HX5+2/x3tSwoXhsudzy5S0ATDh1yv5r+eBBbRs6e1a8hzly4YK4b14ekJdX6HQ4Rji9D/jq/HnxvGRkWD/HwX4OSvvyQ2EduHxuA1y+WO758xYAUUhOLvlZVK6cCUAUzp3z7rPxwAHx+Ve9ugUpKWbEx0cjL0/BoUOFqFMHyM8Xn3FRUY73aaOixL58fr7zz0FvZGUVAYhBXJzj/0NMjHgOcnI83+92JVS2Ab4PBPc5CBW+PgeGBFhLlizBnDlzsGLFCjRu3Bj33XcfRowYgXK6iL19+/ZoJKdFCrCXXnoJzz77bInrV65ciYSEhCCsUWCsWrUq4Ms0m4Hjx/sAALKyFHzxxUqUKeOHweRu8sdz8NtvlQC0RWzsRSxf/hMAID+/LYBK2LDhL8TFaTXLwfgf6Hmz/DNnugJIRHT0SQDVsGPHSSxfvjVgyzeas3VQVWDChOtw6FAKTp36A507Hwvo8n1lsQBZWX2Lf/7zzz1YvnyPy+WfPJmA/PzrERNjxj//LIfZbALQB6qqYMmSlUhIMO416+rvz88X6//zz2uwc6fzMZCK0g5ARaxa9RcsFve7Zfvzf3DhQhzy83sCAI4cycPy5SVP0sjlqypw+nQfAAr27buA5ct9n/hEb9myhgAaoEyZI1i+XOson5t7FEA6fvllH2rX3mX1O1lZMbh4sXfxz6tXb0NOzkm7j19QYEJeXp/in7/80r1tJdTfB3xlNgMXL4rteOfOY1i+/I+ALt8dpX35obAOXD63gdK+/O3bjwCoi3Pn9mP58p1Wtx0+XBXA1di79zyWL//Z48detaougCaIijqB777birS0rjhxIhGLF29Ckyb/4siRKwHUxMGDe7F8+T67j/Hvv60BVMG2bX+jQoXDHq+DM/v2pQC4Dqpqfz8BAE6ebAqgDnbs2Ifly3fZvY+vgr0NBHv5obAOwV5+KPB1VJ4hAdbo0aMxZMgQ/Pzzz7j66qvt3qdq1ap44oknfFpO5cqVAYhKrypyfNN/P7do0cLh7z3++OOYOHFi8c+ZmZmoUaMGunfvjmQ5diaCFBYWYtWqVbj++usR42ywtx8cPw5YLFr5RpMm3dGgQUBXAYB/n4PTp8VZnHr1UtC7tzjw++STKGzbBqSnN0fv3k2D+j8AfPv7VVW8LVx1VWX88guQkFAVvXtXcvFbxi3fKO6sw8qVCg4dEn9v2bIt0Lt3s4Au31eXLgGqqg3VrVmzPnr3rudy+cuWid9p2NCEPn16Q1VFX4bCQgVt23ZH9eq+r5s7f39REWCxiHXp1auL1bA3exYtisIffwCVK4vXmRHr4KvNm7XnPzMzHr169Yai2F/++fP4LywEiorSit8/jPLxx6Ic6vrra6B372rFy7/yyur4/nugXLl66N27jtXv/P679WPUqdMSvXvbP/N80ibXat++O6pWdbw+4fI+4Kvz57XXYXJyDfTurT0pwX4OSvvyQ2EduHxuA+G+/D17gDNnFFxzjXdVSXL5ycm1AACtWtVF797pVveJjVXw6quAopT36rPxhx/EZ2vr1lXQu3dvNGwYhRMngKpV26J3bxWffireoxs1uhy9e9e3+xgffSQ+Qxs2bIreva/weB2cWb9eVJWlpMQ5/PvWrTNh2TKgRo2Sn9W+CvdtMBLWIdjLDyWZPvZbMCTAOnnypMtKpjJlyuDpp5/2aTnp6emoXLkyVq9eXRxYZWZmYtOmTRgzZozD34uLi0OcnQYrMTExEb0BBePvsx3JefZsDJo0CegqWPHHcyDH51eqZPqv3Fcbz5+dHYWYGG1MTbC3MW+WL3vb1Kol/o6LF7W/MxDLN5qzdZg+Xfv+xAnr/10glu8r26btBQUl/wZ7y9+7V1w2bqwU35acLPr45ObGOG1y6ilnf79+NsGkJNfLlectzp3z7H/lz/+BfsLdwkIF2dkxSE21v3x9f6l//1UMX6c9/xXfXXGF9fNTqZLpv2WWfN70szQBQGZmtMP/g23j9oIC97aVUH8f8JV+IoXsbPvvl8F+Dkr78kNhHbh8bgPhuvxBg0TfzM2bgVatvF9+ZqZ4byxfvuRnkexxeeGCd5+Nx4+Ly9q1xWPXrCl+PnlSfKZZLGJIXlyc4/0HeaioqsbvDxYVKf8tw/HfJ9o5AEVFJZe/dKnYRxs1yrf1CNdtMJLWIdjLDwW+/v1eB1i2yZmzJM2TKqesrCzs26eVdh48eBB//PEH0tLSULNmTTz44IOYMmUKLr/8cqSnp+Opp55C1apV0a9fP4//BjLeUZtRPfqDu0ghZxqTM3sBkdPE3WLRAixZhROpTdy3bQNWr9Z+tt12w4H+wBlwv4m7nIFQP1OdDLACuQ3rG5W6auIOALL9YSg1cbcNgM6cQYkAS9Kv94ULolGsUfswoq+Z+N52tP5llzlu4q6fgVCulyO2t3EmQkHfdDjcPwOIiPSKisQ+g6oCH33kW4DlbBZCWYEtJ8TQU1Vg2TKgfXut2bstuQ8ngyt5KT+jZRP3YM1C6EsT96IiYPBgsY/XsCHQtq3x60cUTrxu1VuuXDmkpqY6/ZL38cSWLVtw5ZVX4sorrwQATJw4EVdeeSUmT54MAHjkkUcwbtw43H333bj66quRlZWF77//HvHO3hEoYEpDgCUPAuXZIiByAqzcXLGjAAA1aohLV7OSBdsXX4j/hT6Mcserr4pLOVtNOAZYttubbUWWI3IGQn3QEYxtWO6kmUzOZwaS5GtOhsih4LBNmwxn4Zrtbd7OtmTPoUPi+YyP13bcJRm22wuw5AyEshm7JwEWZyIU9P9H21CZiCicnTolTm4CwMKFvoU77sxCmJdX8mTc7NlAnz7Aww87fmwZVMl9V3kpr5frHR3teBik3A8p8kPrXm3GZcfLdxRgHTqkPSczZxq/bkThxusKrLVr1xq5HsWuu+46qKrjF7eiKHjuuefw3HPP+WX5ZF9eHvD448B11wE33eT4frbVCJEYYNmrwEpJEZfhHmDpKypkb5uLF0WopSh2fyXoFi8WB+bTpgFdu7r3O4cOAZ9/Lr5/5RVgwAARYIXy32mPNxVYqhp6AZY71VdA+FRgOWJ729mz2t/kK1lVV78+SswM6E4FVqNGwN9/swLLG6zAIqJIJYfmAeIzZOVK4IYbvHssZxVYSUkiQCoqEu+p1appt82bJy7Xr7f/uHl52uerbQWWPDlp/m9iw2BVYMkTjM72dxwFWLqBSfjsM+D11+GyZyhRJPM6wOrUqZOR60Eh7n//A954Q4zBdhZgyQ+KypWzcOpUYkQHWJFYgSUPSMuW1c6GFRSIYCRUJ+yU29zq1SLYcCcQmD5d7Mx06wbceKO4LjdXlK5fdpn/1tVo3gRYZ86IUFJRgMsv164Pxjbszg6dXigHWGXKiOffkwqsc+eMWw97w0IlGbb/+6/Y7vUBl6zAatnS8wCLFVgCK7CIKFLpAywA+OQT7wMs2ZLCXoClKGK/88wZ6wDryBHg11/F9/v2iffYpCTr3z323wTSZcpo+662QwhlKGV7gkcvVIcQ6gOs/Hxg7lzgoYcMXT2isGJIE3cAuHjxIn777TecOXOmuFGedNtttxm1GAoCVQVmzRLfHzwoAo3YWPv3lWFC/foXIjbAklUMkdgDSwZYiYniKypKHPBeuBD6AZbFAixaBIwd6/z+588DH3wgvn/4YbHDULGi2Gk6ejS8Aizb7c2dAEtWX6Wnaw1DgfCqwDp7Frj3XrFtFhWJyzJlRJVo7dp+WVWH5BDCli2Bn392XoFlG2DZq4jylvy/2guw5JlaVRXbv3zvMpu19W/VSpzlZgWW52wrsMKtkpOIyBEZYNWpI054fPWVeJ/zdBJ3sxnIzHQ8hBDQAix9HyxZLQ+I99a//gI6dLD+PX3/K/neK4cQZmaKyi93emD5cwihnLTG0fET4DrAqlJFzAY8axYwYYJov0BUGhkSYC1duhTDhw9HVlYWkpOToej23BRFYYAV5n79Fdi+XXxvsYgDHn3lhp4+wPrppxoRF2CpaumowEpMFDsB5cqJHYmLF63LuUOF2Wx9dvDTT10HWDNnAjk5QPPmwPXXi+tq1NACrP/a74UFWe1hMonXpjs9sOwNHwTCI8CqUEEEqTk5oieGrZQU4OWXjVs/V7KztR3tq64SAZazCizbcMsfFVi2/1dA7LCnpooA6uxZLcA6cULsVEdHA02biutYgeU5fYBlsYR2xSoRkSfkPtaNNwIrVgC7d4veo6NHe/Y4ublaciTbbtiS1VP699TPPhOXcnjh77+XDLBs+18B2kiC8+fFvp3WA8vxOvp3CKE4NvamAkvOHD1pEvDMMyLQWrNGjCKgwPjnH9E7d/JkrXcuBY8h2e1DDz2E22+/HVlZWbh48SIuXLhQ/HXeyC61FBS2DQP1pax6BQXawVv9+uJI58QJrSl4JMjM1D7YIr0CC9BmUwvVRu6nTokQy2QSgdsvv5Rsqq2Xlwe8/bb4/uGHS56pC7dG7nJ7k1Vj7lRgORpqFg4BVnQ08M03wFNPiZ24KVOAqVO14QyBbu4ut5ekJNF7ytU6yPdH+f8ysgLL2RBCQAvc9cuU/a9q1tTWiQGW52x3c8L9c4CISJIBVvXqwK23iu8/+cTzx8nOFulQmTKOP/NtA6wDB4AtW8Q+3u23i+v++KPk78nPYn2ABVgPI5RVVc4CLHmbP4cQ+tIDq0ULQNaEsJl7YL3yihi6yec9NBgSYB0/fhzjx49HAk85hjSbkZ1uOXdODMsCtMR5/3779z1+XIRV8fEqatUSe/B5edqY90ggD04TE4M//MofHAVYofo/lDst1asDsi3fwoWO7//xxyJEqFEDGDRIuz5cAyxZgSXDCU+GEIZjBRYgGvU/9xzw9NPAE08Ajz4qZicCAr+dyrC0Vi33+nPJ948rrhCXRlVgXbigVYLJIM2WvZkIZf+rOnWsw2pHJx1kgCWHQHAIoWAbYLEPFhFFChlgVasGDB8uvl+7Vus75S4ZYDkaPghow93l55kcPtilC9C9u/j+999L/p5+CKGeft9OhlLuNHH3xxBCb5u4FxVpJ5vq1QPGjBHff/11yf5k5D8yOJX70BRchgRYPXr0wJYtW4x4KPKTlSvFh8b8+Z793kcfiTfSli2B/v3FdY4qsPRhQlycBWlp4igokoYRyoM//fBBwPrgP5wrzmRFhQyw5I5GqFZg6c+6DR0qvl+wwP59LRbgtdfE9xMmWO/EREqA5ckQwlCqwHJWUu+OYFUKymELNWtqAZY7FVj+CLAAMWTC0XkkGWDp10/uFKena8+h2ew4mJLLqV5dXLICS9D3awHC/0QGEZGkD7Bq1wY6dhT7uY72tRyRAZb8rLHHtgJLDh8cNEhr7/D33yUrpOwNIQRsK7BEyX2whhBq+zuODxLsBVgyfIuLE5+9V1wh/gdms9bPlfyroADYsUN8L6vdKbi87oH1zTffFH9/ww034OGHH8aOHTvQtGlTxNjE23379vV+DckQa9aIg92lS7UzKK5YLFqfmXvv1Sq4XAdY4s25ShXxIXTihHbAFu7kwZ9++CCgHfwXFooPHmeznISycBtCqA+w+vcH7r9fNPjcsaNkn7Y5c0TvhpQU4M47rW8L1wBLHii7W4F16ZJ21jRcK7DskUFroCuw9AGW/B84qsDKztYCH/l+aNQQQhlkytetPa4qsBISxM57YaF4vdvO8gRYB1gHDrACS2IFFlHgzZkjKlI6dgz2mkQuVbUOsABgxAhg/XpR0a5vxeCKOxVY+gBrzx5R9RIdDdxyi9gfTU4W+yg7dwLNmmm/Z1QFViCauDvb35HVzfK+gNb/qm5drWn7mDHif/D++6IS3VkoR77buVPbfg4cEPuuvu63km+83uT79etX4rrnnnuuxHWKosBsNnu7GDKIPPBw1h/I1tq14o0zKUlUt2zaJK53pwILAKpWVfHPP0qpqMDSHzhmZjo/wxTKbAOsYAUD7tJvc+XLAz17At9+K5q5T56s3e/CBeCxx8T3Tz1V8uA8XAMsT4cQ7t6t3V/uKErhHGAFuwJLP4Tw0iXxf9APMQa08Ds+XgRGgHEVWHI7sBc6SfYCLH0FlqKI5/HMGfE82h4IANrzK18vrMASZIAlJxhgBRaRf+3cKXoiVawoemFy1k//yMzU3udlgDVwIDBunKiE+usvMSGOOzwNsGT1Vbdu2tDCFi2An34SwZY+wHKvAkt8H7wm7uLS01kI5TFXvXradbfcIj7Tjx8XhQk332zsuvqioAC45x6gc2etX1e4+/NP7XuLRfxPIqUwI1x5PYTQYrG49cXwKjTIAMKTAEs2qrvtNhFoyDfPgwdF6aotexVYQGQNIXRUgWUyaQeP4XzwEs4VWIA2jPDTT62Hck6eLMKCRo2A8eNLPo78/ePHvesVFyyeBliOhg8C2qxARm2/GzcqeOSRjti0yfGRRbhXYMn305o1RQAod0ztDSOUlVkVK9oPk3zhbYClr8ACXL/ebYcQsgJLvF/IAKt2bXHJCiwi/5JVKWfOaN+T8WT1VWqqdlImNVXrO/nxx+4/Vna2SI7c7YElA6zBg7Xb5TBCfR+sjAztPdedAMudHlj+GULo3SyE9gKsuDjgjjvE96HWVHzVKtHsfMyY0D357Sl9gAVwGGEoMKQH1rx585BvO2UCgIKCAsybN8+IRZCP5IHHyZMlZ7ew58QJ4KuvxPf33CMuq1cXb+4FBfabN9qeAalSpfT0wAIio5G7PCAtW1ZchnoFltwO5TbXt6/Yydq/H9i6Vews/PEH8O674vZ33rG/81K1qgghCwudN+HesUOUbYcK2yGEeXnOe7DJCix7AZbR2++iRQr27EnD4sWOAyx3mpq6QwYvly75p/TfEf0QQkVx3gdLbleVKmkz/p07Z0zPPPm69STAys0VnweANkGHswArP18LSFmBpbl0SQu9a9USl+H8GUAUDvTV0hs3Bm89fHHyJPDjj8FeC+fkPpasvpJGjBCXCxbYP6FtjycVWL//Dvzzj9hf0w/4adFCu12S20JamrbvKsnPqmPHtGF57sxC6I/9CG9nIZQBlm1bjHvuEfsdq1aFVogr1zcnx7OAM5TJAEuGuGzkHnyGBFijR49GRkZGiesvXbqE0aNHG7EI8pE+gHBnmNT//ic+lDp0AJo2FddFRWln6u0NI7StwJIfeJEUYDmqwAIiK8AK1wqsxEQRYgHAZ58pUFXgwQejYLGIJqBduth/nOhorWLQ0etDVcUQxc6dgUOHDPsTfGJbgQU4D6hlpUjlyiVvk9uvnbdyr2RkiOAqJ8fxfYyqwJLVY2K5vj2Wu8xmbedenuV11gdLvndUqqS9f+TnG1PF5E0PLLkNJyVpZ72dzToq3wMURXutsAJLe02VKaP9/1mBReRf8uQBAPz6a/DWw1tFRWJ/pHNnYMWKYK+NY7b9r6TevUVgdPKk6LHrDk8CLLkf3aOH9f1lBdYff2gnfxwNHwSsT06eOiWui452fNYoEEMIPa3AkuGUvgILEBW/PXqI7+Vs8aFAf3w4a1Z4T2wFiPWXMxDecIO4ZAVW8BkSYKmqCsXOAPRjx44hRX9kQUGjDyBcDSM0m4H33hPf33uv9W3yDdSdAEtWYEXSNK/yIDTSK7BsAyxPK7Dy84Fdu1L9+sFVWKhVkOh3XOQwwkWLTFi7tgZ++cWEhATg1VedP56rPljHjonbzGYgVCZdlQfKsvIHcD6MUIZJ9maqM3omTfk6yM72/xDCmBhtmw1UteCpU2IbjIoSO8mAexVYFSuK51+eyTOiD5Y3Qwht+18BzgNreV25ctpyWIGlBVhpaZExjJwoHIR7BdZHH2kHwXJ/OxQ5CrBiY8VJQQBYuNC9x/IkwJL0wwcB0QYiJkacqJInYRw1cAfEyUn5+Ww2h8YshHFx7s9CaDZrQ/1tAywAuPFGcbl6tUEraYD9+7Xvd+wANmwI3roY4cQJMaQ1KkpMFgUwwAoFPgVYV155JVq2bAlFUdC1a1e0bNmy+Kt58+bo2LEjunXrZtS6kg88CbCWLxcfCOXLAwMGWN8m30D1b1CAODCWO/IyCJAfGpFUgSUP/kpLBZbc0fC0AuuFF0x47LFrMXu2IRm5XSdOiKAlNtb6/9Gzp1jvEycUzJoluos+9ZT9s3N6rgKs7du17//6y/v1NpLc1lJTtZkv5Vk+e2SAZVtmD2jbr8XivGrKXTJUcRZyGBVgAd5vq96SZ32rVdN2iJ1VYOmHEALaMEIj+mB5EmCdOyf+xzLAklW1gHsBVmqqtv2wAss6wJKvoWBUYKkq8Mkn2mQrRJFMX4H111/h9V6Ulwc884z28zffGNcP0VOuen46CrAA4KabxOXate4ty50AS1YDA2K/wHYS+9hYoEkT8b2sinFWgQWUDLaCNQuh3N9xp4l7QYF4T5dDH2Nj7f99XbuKy59/dt0DNVBkgUODBuLS3z26tm0TJ5X91XJbDh9s2FAbwrprV/hXloU7n44u+/Xrh5tuugmqqqJHjx646aabir+GDBmC2bNn45NPPjFqXclLqmpdleBq+JNsWzZ6dMlS17p1xaVtBZY86E9K0obzyAqskyfDqzG2M6W1AsvTUGD1anGma9Ei/00NpJ+B0KR7J4uLEzO0AEBBQRTq1VMxYYLrx3MVYOlDq1AIsFRVO1BOTtZeq95WYCUkaM+jEduwHMrnbH38EWAFqgJL3/9KclaBpR9CCFgHSr5ypweWDMzMZvEcybO6sv8V4H6AJd8fWIFlvwIrGAHWDz8At95asmKBKBLpAyyLBdi8OXjr4qmZM0UwUb26OCAuKhLhcyAdPiwCqORk5xVszgKsDh3EPsPBg+61JnEnwEpK0k7G9e6t7Vfr2TZyt20lYcs2wAp2BZY7QwgBEVzJY606dbTnRa9BA1EskJ8P/PKLcevqraIi7eTYtGnicvFi+/tERti5E7jqKuDqq0X4edNNwJtvin10o447ZVDavLk4Bo6OFvs+kTS6KBw5eRm79vTTTwMAateujcGDByPe2auSDJeRIWZby84GHnrI8f2ysqyTaVcVWLLSpGfPkrc5GkKo/wCRw1EqVRLfFxWJgzR7oU84sVi0g81IrcCSB6S2FViehAKFhcBff4mN4JdfFGRkWPcoMoqznZZhw0QfNwB44w0z4uJcv9XJnZxwCbByc7UP6KQkMSQtO9v7AEtRxDZ88aLYhmWfIz2LRQwXaNvWunLHnsxMsQ24U4FlxEdHoPu1yQMo2bgbcK8CS97HHxVYznpgxcWJ12FGhlgmK7CMESpDCOfPF5eHD4vPKbl9EUWaoiKtsv+aa8QQpY0bRT+pUHfpEvDii+L7p58Wf8uYMcCHHwIPPqjtP/tLYSHwxhuiAkzuDyxbJj7T7XEWYCUlAS1biuqX9evFfpcz7gRYiiLeu06fdhzG2zZyt3cySc92H9GdCiz/DiF0fB/9bfn5jvtfSYoCdOsmCg9Wr9YqsoLl6FGxTcfFiZkqr75ahMtz5gATJxq/vE2btEqojAxRzfjNN+LnGjVEb7A2bXxbhqzAat5cbDt164oJkXbt0mZkpsAzZHzPyJEjER8fj4KCAhw7dgxHjhyx+iL/yM4WH3yPPuo8abYNH5wFWEVF2pl52xkvAOshhPrySXthQkyMdrAWCcMIL17UyoojNcByVIHlyexuO3Zo0wWbzQpWrTJ4Jf/jLMDq3BkYN86MYcN2ont39+p8PanAOngw+I2a5XamKCJQkD2VnA0hlGGSvQALcL0Nr1kDDB8O3Hef6/WTz09Ojv97YAGBr8CS76OhUIHlzhBC/TLPnDGmAisnJ3Kqa70lA6zy5YM3hDA3F1iyRPtZP9yZKNKcPClOyupnqAuXRu5vvmnCuXNi/3rUKGDIEHEC559//N9bc/fuVLRtG41HHhHv3TLk/ucfx7/jLMACgGuvFZfr1rlevjsBFgA8/zxw113Wsw/q6Ru5A/6pwPLHEMK8PLEv5Gx/Rz+8MD9fKxZwFGABWmj1ww8+rqAB5PrWrSuq82Qf5dmz/bOvIGfWvuce4LffRNVXjx5in/joUaB7d9975MkASwanchZv9sEKLkMCrL1796Jjx44oU6YMatWqhfT0dKSnp6N27dpI1+8dk6HkWHGz2fnMW7YHI84CrKNHxZmHuDj7yXKtWqKMNSdHm9FD/h5Q8gPE332wiorE2TdnB+1GkZUSKSn2P4AiMcDS72i4O7vb1q3WPy9f7vNq2eVsp8VkAl57zYJBg/a4/XjOAizRlF58L4Oiv//2YGX9QB9aKIrvQwgB19uwPBsoZ99zRm4vgeqBFawKLP3OcSj3wAKsG7kbUYGlqqHTdyNYQqECa/ly69AsFCpEifxFfkZXqwa0by++37gx9HvSZGbGYvp0cdj1/PMiSClXTmsMLavG/WHGDBMee6wjtm9XkJYmlrVggbjNUYBVWKideHEVYP30k+t1cDfAuusu0dje0X5Bs2bi8tgxsX62swHb8qQHlhFDCHftElV2tp+N7lScm0zaOngaYG3dGrgTeI7oAyxABLQpKWJ/44cfjC8vlAFW48ai2uuRR4DvvxfHp9ddJz6Lu3f3PuDOzgb2/HcY0Vy01EWjRuKSAVZwGRJgjRo1CiaTCd9++y22bt2Kbdu2Ydu2bfj999+xbds2IxZBdsTFaTvMzs7iyzc0ed9jxxw3u5MHqDI9txUbq30Y6IcRBivAmjcP6NgRmDLFP4+vJz/I7VVfAZEZYEVHa9+7GwzIACs9/SIA4Lvv/HPmRd8Dywhy2z15suTOy86d4jWTmqrtsAX7IFFuZ/J1LYM1fwZYMrR2tY0XFWmVV84awodzBZYnPbAKC7WgQ4Zcge6BpV/m7t3a/7B2be12dwMs/fZT2vtghUIT908/FZcyWAz2exORP+nfe1u2FPulZ89qVaWh6osvLselSwpatAAGDtSuv/12cblggTETqNhSVWDqVBNUVcHQoRbs2iV63F5xhbh93z7ts1jv5EnxuzExjockd+woLnftct7nyGwGcnLcC7BcSU7WAp2VK0WvKEXRjjds2R6XOKvAMqKJ+7hxwBNPaENFpYICcelqf0ffyF0eZ9kbESNVqyZ6YVkswI8/erXKhpETfMn/T0ICMHKk+N4fkzrJAEs2jJcSE4FvvxWjMS5dElVZ3vQI+/tv8RqoVEnbv5MVWDt3er/e5DtDtqY//vgDs2fPRq9evdCiRQs0b97c6ov8R36oODsIkgceDRuKDyJ9/wBb7qT99vpgOZoFxN8BlhwqYduTyx9kpYSjXl6RFGDpZ6nztLJFBlh9+hxA2bIqTp3SSr2N5Kps3FMVK4rXh8VScnuVB4TNmmln/4J9kGhbdROIAOvkSXHpqhpP//vOdshl5WQ4VmDJSlZ7PbDOnbM+SSDfO6KitMrZQPfAArQAS85UV6WKtt0A7gdYJpO2DZX2Plj//isug1WBlZEhdtQBFE9WEez3JiJ/0n/2x8VpQ8p8HSrkT8eOAcuXixEpL75ofYL4uuvEiYTMTODLL41f9u7dwOnTCmJjzZg921z8OVCligiTLBYtCNCTwwerVrV/QhsQ73tNm4rv1693vA7690QjeqLK/7nsd1S1quPKqkBWYOXni1EhADBrlvXoEG1/x3mpoBxGmJtbMhByRFZhrV7t4QobzLYCC9CGES5bpuDcOeN6ZZvNJWc81Ctb1l6I5VkVmL7/lcQhhKHBkACrcePGOGfEaWTymDsHQbIioXx57WDf0UyEsgLLWdpvL8AKVgWWPKAOxAFDpFdgFRRoZ4j0B8KeVLYUFWlv+A0anEeXLuKD2h/DCGXZuFEBlsmkVXPZDiO0F2AFu8+MfgZCwL0eWDJM0geUeu4GWJcuOa+q0/9+oIYQBrICKzNTW45++7vsMnEm2GLRgg1AGz5YoYJ2IBDMHlgywLId4a8PsGyH4+gDLIAzEUrBrsD66ivxOmrYUMxCCIizxv6aUpwo2GyrX9u1E5eh3AfrxRdNKCyMwjXXWEpMkGQyiYoowD/DCGVVToMG562GrymKVoVlbxihq/5Xkjt9sOTnZUKCatXnyVuyH9H334tLZ/uBaWnWJ2r8OQvhpk3aPti5c9owTcD9/R15+4ED4rGiox0Pj5RCJcCyF7g1agR06gRYLApWrapl/xe9cOiQOGaJj3f8/CQkiBCrSxdxsu3GG6Owa1eq28uw7X8FaGHZiRPhe7wXCQwJsKZNm4ZHHnkEP/74I/79919kZmZafZH/eFKBVa6cVi3gqA+WJxVY8o1KVYMXYMnHDcRmFukVWPoDUX2A5Ully86d4gM3KUlFlSrZ6NVLpBxGB1j5+VqgaFSApX8s2wBLhlVNm1pXYAWz54btEMJA9MCSAZaqOj9I1/9+fr7i8GDaHz2wAhFgye2jXDnrab6jo7UKK30frDNnxFk//XtHMHtgyaGgtjNJyuewsLBk5ZwMauR9OBOh4KgHVqDeG+QB0rBh4qx3QoJ4Dw5EVTJRMNhW/MsZ9EKhAmvePDEzYrNm4vVYpYr4jPjggygAwJQpFrszDY4cKQKlNWu0/oRGWbtWXDZpUvJAwYgAq1MncemsD5b8XPZ1+KAkK7DkZ5+z/UBFsQ443JmF0NshhDIslIHZG29onwXuVpzL2+X/JD3deegGiCo+RRH74MGaNMticVwxNmaMuFy5srZhMzzKCqj69R1XCALiM3HpUhHyZWUpmDXL/ZFhcvSIvgKrXDmgcmXxvb3KRQoMQwKsbt26YePGjejatSsqVqyI1NRUpKamoly5ckhNdT/pJM95EmClproOsFxN2QpopaFyBzkjQzuICVaA5W6DcV9EegWW/B/GxFjPhOJJZYscPnjllSpMJqBHD/HJvXGjMZUmkqy+KlNGHDgaxVGApa/AathQ7ExkZDiesTAQPB1CWFio7ZT5GmABzl9ztrc5GkbojwqsQAwhtDd8ULLXB8t2BkIguD2wJNsKrLJltR1l2+eRFVj22avAslgC09z+9GntjPvQoWKIapMm4mcOI6RIJT93bSuw/vzTPz2k3KGqYmjgyJHAzz+Lk14HDoiTBfKz+pprjqF9e/vJdq1aWhXN3LnGrpcMVewFWI0bi0tnAZarPqOyD9Zffzn+/M3IEKmdEcMHAeuKGMB1hZK8XVFUp2GHrxVYMiycPFl8nm7frl3nThN3oGSA5WxEjJSWBrRqJb4PVhXWyZPicy8qquT/4+abgYoVVVy4EI+lS41p5u6o/5U9CQnAwoWAyaTi0KEUt/bdLRbtc9S2GxKHEQafIQHW2rVrsXbtWqxZs8bqS15H/uPOQZAMHlwFWGaz1gTT3SGE+uqrtLSSB8b+DLBUNbAVWPIgNFIrsGwbuEueVGDJAKtlS7GTVqOGqFpSVdFs0yj6ij97ZzO9ZS/AOnNG7ITKcvvYWO3DK5jDCD0dQqgPGrwJsMxm66oiZwGW7e8HMsAKRAWWvQbukr2ZCJ1VYF244FvDWH01nLs9sCTbCixFcfx6tw2wWIElnnt9gFW2rPZ+FIjPgUWLxOvy6qu1z2V3evRlZADz52tDxonCie37b40aotKpqKjkLMiBoKpi9rMnnhA/T5ok9nd+/llUcOzdCxw5UoiHHnK+crKZ+5w5xg0Bls3V4+NV1K9/scTtRlRgVa4sqmBUVev/ZEsbCWJMaWqVKtYnhFxV4svbo6KcL1+ewPEmwMrL04ax3nwzMGqU+P6NN0QYUlgoPhw8rcBy1f9KCvYwQll9Vbt2ySq32Fjg9tvFiIx33zWmmbsnARYg9rlatxb//5UrXR84HDwo9m/i4kougwFW8BmyFXXq1MnpF/mPp0MI5YxT9gKso0fFm3ZsrPMzLvKgJyND9HmxPRumJz/4Tp/27SDNnsxM7Sx3IIcQRmoFlgw4HAVYnlZgSb17i8vvvvNt/fSMbuAu2QuwZEhVt6723IRCI3dPhxDKEMlkgsMeFM62YdvG5J4EWI6qdNw9I+mOQDZxdxZguVuBlZamhR36flmeys/X3lt9rcAC3A+w3KnAOnMGWLeuesQGJdnZ2oGO/H/K/0Eg+mDJ2QeHDtWuc+e96ZFHgBEjgPff99+6EflDTo72fik/rxUleH2wzGbg7ruBV18VP7/+OvDKK8D11wPt24vKjXr1RMjj6mRbv35iP/3oUTGU0Aiy+qpdOxUxMSUbV8oAa//+kie/3A2wAK0PlqNhhHJ/waghhIB1FZa7FVhRUc6nxJbBi+3xitks9mGdVfht2iQ+j2WgN368uP7bb60DQncDLDnLnTcBVjDaW7hqQXP33RaYTBb89JPJkH1nTwMsQBsV8t13ruMP2f+qSZOSQzgbNRKXDLCCx7A5LS9evIjXXnsNd955J+68805Mnz4dGYEY11XKuRNguVuBJYcP1q0rSkAdKVNGC7j27XMeJlSoIB7LYnE+xa439FVdgeg5Ij/M9QehevLgPzfX+/LjYHJUgeXu0KyiIm28uKzAArQA6/vvjTurGMgASz98UAqFAMtRBZarACshwfGOtCzvtxdg6YcPAp4NIXQVYBldgeXv9wJvK7D07x1RUdrwV1+GEeqDEl8rsAD7AVZ+vrZd2VZgOQuwJk+OwvTprbBggYFlkiFEVl/FxmpVjYGaifDQITEtuKIAgwdr17t6b1JV7WSCP2aHJfIn+dmclGQ9HC0YfbAKCkR4/MEH4sTQhx9qM4F6o0wZ0csOAN57z5h1lAHWtdfa/1CsXFm8p9ubidCTAMtVH6yLF40dQghofbAA4yqwHA0hnD1b7MuOHev4d+VzLftR1a8P3HCDeM995RXtfu4OIZSBojtDCAGgQwfxWXTsmHY8F0j2ZiDUq14daNdO7Ei+/bbzx3rnHREGO+NNgCX78q5Zo7g8sWav/5UkK7BkyOiOY8dE9dnhwy7ONJJbDAmwtmzZgrp162L69Ok4f/48zp8/j9dffx1169bFtm3bjFgEOeBLE3fbgzx3GrhL8g1q/37nYYLJJEp9AeOHEeofz2Lxby+WwkJteKWjN0t99UMgZ6Eyiq9DCHftEge5SUnWH7jt2omdlnPngC1bjFnXYAdYctpoRweJ588DV1wRjVdeucrYFdTxtAeWqwbugPMKLNsAy9kBejCGEMrttKDA//2H3OmBZR1giUvb4cdGNHKXr9uEBOcnHgDrACsmRhvirWfv9S6/VxTtAMSdIYQy6Pvzz8gOsPTVdIGaiXDhQnHZubP1/1G+Nx06ZD9kPnhQe3+TQz6IwoWj9gH6CqxAVJ+oKjBokBjGGxMDfP65NgTQF/fcIy6//FILkHxZRxmqdOpk/0lxNBOhqnpXgbV1q/33Pq2Ju3H/HE8CLHcrsBw1cV+2TFwuWKC979uSva46d9aue/BBcSmrZQHnTeSBkvtD7lZgJSSIqj8gOMMIHTVw17vhBnEgNX++48rzNWuAceOAhx5yHMRlZGiT0XgSYLVoAaSk5CErS3E43FWSFVjOAqx9+5wXLJjNYhKrm24S+4sPPhiFhx/uhHnzInOfKJAMCbAmTJiAvn374tChQ1iyZAmWLFmCgwcP4sYbb8SD8tVLfuFpBVb16uIDKy+vZEWUfKNwJ+3X98FyFSb4qw+W7eP584z3/v3iA61sWccf5jExWogQjsMIXVVguRpCqA0ftJ4RJCYG6N5dfG/UbIT+DrDOntXOfjmrwNq9Wwth9D7+GNi7V8Gvv1a1e7sRbIcQuuqB5UmAZe/A15MKLE+HEBoRYCUmagGOv/tguVOBZT2EsGQFFmBMI3d3+18BYhuR96td237g5SzASknRXtvuDCGUO/p790bmzpo+wJICVYElZx/UDx+U6yIrpP/+u+TvyQNagAEWhR9H772tWonw4dQp7T7+tGsX8PXXYv/m22+B/v2NedxmzURTdLPZdRXWsmXAbbc5DgJ27hSfQ2XKAFdf7Tg4stfI/eJF7USQvRMdtmrWFAfoZrP9YZxyf8HICizZtDwpyXFrD6lJEyA2VkWlSs67/NurwCoqAtavF9/n5wOffFLy9/LytOq/667Tru/aVQSEMhCLiTG7HEqq3x+KirJ/oswRI/pgHTwIDB8utm9PuKrAAoBGjc6jRQsVubmiYtFWURHwwAPaz/J5tyWrrypXtp4J2hWTCWjZUuycuWpr4izAql5d7EsXFtqfNfTCBWDKFPFc3HAD8M03otCiVi0VBQVRuPPOaNxzj/3jB2eMGsUSCQyrwHr00UcRrRskGh0djUceeQRbjCq5ILvcOYOvr8CKjdU+jGyHEXpSgVXaAix9qaqzD59w7oMlAyxZWSG5W4ElAyy5U6EnhxEaHWC5mh3HU2lpWhB07Jj4MN2xQ/ysD7CqVRPPi9lcsoRYVbUPZotF8dt09rZDCN3tgWX7/9XzpAIr1GYhVJTAzERYVKSdmXbWA8teBZZtgGVEBZZtJZ4rckffXv8rwHmApZ9U2J0KLDlspDQFWIGowPrnH9GbLybG/oGzs2GE+gDr6FHPd6CDITs7OD1dKPTIcMp2f7NMGa0nUiD6YP3wg7i89lrtBJ1R7r9fXM6e7XiihcxMEV59/LGY/dAe+Vpv3975Z6y9Ciz5GVe+vPs9Kh0NI1RVYM8e8RlgZA+sunVFw3sxu5zz+1auDPz1VxGeeeYXp/fTB1jyPWfbNuv38/ffL/l+tHGjeC+tUsW6CEBRtCos8fjOK8AA6/+VvYbozsgAa80a78KODRuA1q3FCZKHH3b/91TVvQosRQHuv1+s2IwZJSvdZs+2PvHiKsCSlVCeaNVK7Jw5Ox65cEE7RrYXYJlMWuWXbR8sVQV69QKeeko8Rmqq2AZ27AB27y7C0KE7oSgq3ntPhNXuBu6qKnrrPfRQeB5jGs2QACs5ORlH7PwHjh49iiR396rJK/IA6OJFx2WMtgcfjvpgeVuB5WiHQvJXgOXJAbWv5BuUqzdL7eAl/A7YjKrAshdg9ewpLrdssT6w95a/KrAUxXoY4b594sxa2bLWB/yK4vggcds269kJd+/2z7YQ7CGERlRgyWoxIwIsIDAzEZ44IXYMY2K04dF6thVY+v5/tkMIjazA8jTAstf/CnA/wPKkAuvQofAISjwVrAosORylVy/r/4nk6L1JVbVhLvLnQ4f8soqG+ekn8fx6cjBFkcvZpEGB7IMlA6zrrzf+sW++WXy2nD4NLFli/z5vvKG9/7z3nv1hbfqeTM7YC7COHROX7gwflOw1cldVUVGzapUJiqKiQwdjk+hRo7QTpK7UqQMkJjqfTUrfrNvyX9ak9RET+1l//y0atuvphw/anuQePlwEgYCowHJFvz/kbv8r6eqrxWfQhQue9zicN08EYHJ/ZO/ekvt9jvz7r9gnVBTH+xbS4MEqLrtMHDsuXWr9GE89Jb7v21dcugqwPBk+KLVocRYmk4odO+z3gwa0z85atRyHro5mIvz6a7F9JCaK5/T4cWD6dNH43WQCBg/eg2++MSM1Fdi8GWjZEli1yvV6f/KJ2M5mzfLv8W64MCTAGjx4MO644w589tlnOHr0KI4ePYqFCxfizjvvxFDb+nYylL73hr0PsIIC7cBVvgjtBVhms9bjyZMeWPv2aR90rgIsX8fz2wpkBZanAVY4puO+9MAym7UPS3sBVuXK2vXff+/TaiI7W1sXowMsQNsxPnpU+xBr0qTkGT5HfbD+9z/rn+WZR6P5cwihvUkR5I6MPFgPtSGEgGczZnpLBvbVq9s/66uvwFJVICsrBmaz2Ab80QPL0wBLroO/K7DMZq0CS1WViByuFqwKLHmAePPN9m+XAZY+SAfEZ/yxYyJ8lQdGof5/efppsR/z6aeswiLnJ0wdzURYUABs2aLg0iUPSlmcKCrSAotu3Qx5SCuxsWJmQ0BUqdg6fx547TXxfVKSeA9+913r++j7X7kbYB04oJ0A86T/lSQDrE2bxOOoqmhq//bbgKKoGDv2D7RtG9ovYn21kywKkM9jv37AwIHie9sZXJ0912XKAPfeKx/fdQWWfpZod/tfSdHR2jq4O4zQYgH+7/+AkSPFa+WWW7RtwlFTfltypEG1aq4r9uLjgbvuEt/rm7lPniz2NZo1E/vRiiI+n+yFaL4EWImJhcXboaNhhM6GD0r2ZiK0WMRnFiBmobz1Vm3fXK9HDxVbt4rw6t9/xckoR2EdIPa35Umcp57yz7FPuDEkwHr11Vdxyy234LbbbkPt2rVRu3ZtjBo1CgMGDMC0adOMWAQ54GomK/2BnBx7Xru2uNQHWEePijeu2Fj3XhgywDp3ThyEKorjD7pIGELIAEt8sDg6gNi1SwQkiYli5hV7jBpGKANT21mIjKKvwLLX/0qyd5CYm6v1prnuOrGj4u8KLHeHEMoQyZ0Aq7CwZMWM3ImQrwF3hhAqithgAjGEEAjMEEJn/a8ALSDKzxf/o4wM8Y9JTbXeMQWMqcBy9Lp15J57xA7uoEH2bzeqAst2+9izx/l6bd8u+kSEExlgybPrgBYk+ivAUlWtUsLRzrW+Akv/ni0Pslq31gL4YAVYS5cCP//s/D6//aat84kTrqvFLBb7/UgilaOTFZHMnQqs338X1SPvvSdC3ssuA9q3j8Zzz7UzJAT97Tfx+k5L04YtGu3uu0UYsWGDdjAtvfKK2Mds1gyYOVNc9+ab1p+zO3eKEyOi/5XzZVWqJP4W/UyE3gRY9eqJk5UFBSLEmjhRrBcAzJplRteuAWhO5iN9BVZhoXX/q+uu04KXhQu1/fzcXPv9r/TGjQOaNFFxzTWuz+Tr94c8DbAAz/pgZWeLUO6ll8TP//d/YmICGcyuW+feMt0ZPqg3Zow4fl27Vnz2//WXqCwCxDZTvrz2OWav2bovARYA9Ozpe4BlrwLryy/F35KUJIb6OZOeLj4Db7lFnPAbOdLxfsMzz4iTovXri9cVGRRgxcbG4s0338SFCxfwxx9/4I8//sD58+cxffp0xBl1ZEIOOWvkLgOs5GStYa+swNLvDMr0vE4d1zNZycfTVxNUqlTy4Ezyd4AlD1r9FRqpqjdDCP2zLv7kagih2ez4YFUOH2zRwnEvgl69xOWaNb6spf+GD0qeBlj6CqyvvhKvuZo1gXvukQGWf9bTUQWWL0MI9f9729eTnPHFnQBL/m5yskio7G03RUVaiX44DSF0FWAlJGjP4+nTwMWL4o+zrb4CglOBdeONYqdRnsiwZVQFlm1FsKsAq18/MVOPq/uFEmcVWP76PDp9WizXZHL8eVS/vvg8vnTJ+kSVfpiLvoo60P7+WwwR6drVeeBke/7T1axRr7wi9mFcNb+OBK++Kt7zjeorGQ5U1fn7b3q6eJ8tLBSvgXvuEZ/J8j1y795UhzMHe0IOH+zSxb39ZW9UrSoObAHrKqzTp4G33hLfP/88MHiweC8/d070g5Lka91V/ytAnIC2beTuTYClKFofrDvuEMMcAfF6HD06tCuvJH0FVlGR2LfNyhKffc2bAx06iMqbnBxtKPfGjSK0q1rVcYBTqRKwbVsRRo3a4XIdfA2wunQRl7/84roP1j33iGGqsbFiuNsLL4jPFvl/dDfA8qSHMiD2s2UF8TvviB5RFgswYIAWAnbsKC5tK5PMZq3ljbcBVo8eYudz9eqSJ2tzc7VlOguo9QGWqor1f+YZcd2DD1rvFzgSHy9et7Vqic9Ce+HU9u1apdrbbzs+1i5tDAmwpISEBDRt2hRNmzZFgrOjJDKUswDL3oGHvSGE8s3AkzdL/X2dhQn+CLBU1bOKEF+cOSMOiBXF9Xh07eAl/HpgyZDBNsBKSNA+1B1VtjjrfyXJ7eXcOd9m0giVAEuWWJ86pQUQsnn76NFAo0Zih23PHsXwoS+q6p8eWCaT/R4+9l5vzg7Q5WsxNTXfatl6+p0Gd5vEuuLuhAO+kO+bzmYGkmHV2bMKMjLE3oZtA3cgOD2wXDGqAsuTAOvff7Uh7OFUQSNn/7LXA8tfJzHkAWadOvaHJgDi/VoekG7fLodxWg9zkQGWNxVY+fmi2e6yZY7fb5xZuFB7HEe9rfbsEWezAa1611WAJWcHe/VVLRwPpA0bxEGZ/Izyl9xcrWJi9mz/LiuUnD+vbW/2JnBRFKBHD/G9ySSGFD73nOgz06+f2CAWLPD9sMef/a/0ZDP3+fO19+CXXhKfp61bA336iIoh+Rp69VWtKbZ8rXfu7N6ybPtgeRNgAdowQvl+Pnu2VrUUDmwrsPT9r0wmsY3deae4Tg4jdNb/yhu+9MACxHt/YqII3nY4yctUVQvAv/hCDHeTZHi0Y4d7J9jcmYHQ1rhx4vKDD8RzGB8vTkLYroNtgHXkiKg+jY11fCLOlRYtRJ+57Gzrxy8oEBOj7N0rjufkOthz+eXi/33hgjhO/OILcXImJUUMnXVXcjLw0UfisT74QMxqKqmqeJ7MZvHZYvSEEeHMp3fy22+/3a0v8i93KrBcBVjyzceTN0tPAyw53NAIFy9q5fMygffXGW9ZfZWe7vpAOxKHEOpnd3NU2eJOgKUf7ufq+bFYxE6bvbHvgQqw/v5be43I4TZ6iYnah/X27aKicfVq8XyNHi1uM5lUZGYqxdVLRsnP13ZU5TZnRA8s/ePp/0cZGSVfb+5UYKWliV+yF3Lo3wsiqQILsO6DdfFivNV1esGowHIlGBVY+mG4vjwXgRaMCix5gCkPOB3RhjiLI6r9+8VBaUyMOLD3JcAaN070dLnxRjHUo08fcaAqh3c7o6rA559rP3/xhXVjeenVV8V9b7xR6wfkLMA6flybvWrvXvuP6U+FhWJWuK++KtmPyGiffaZte6tWOR6iHWnke2+lSo4/M95+WwRMZ8+KCpSnngKuugoYMUIEWAsXmnw6gZaVpfXY8kf/K72OHUX/zZwcYO5cse8jhwxOmaKFJaNHi5Mhhw6J15Yn/a8kowIs/fJmztReu+FCUbSquqIi+8/jbbeJ8GTrVjFc1dPn2hW5bZtM3gU0UVHasFHbZvN6Bw+Kz/bY2JLByGWXiW0PcK8PlqdDCAGxfTdvrp1sePhh679Xhkd//mm9vylHNdSr530FpKJok0vJYYRFRcCwYeLnMmVEkCRPMtoTH6/1Et2xA3j2WfH9gw/an1zFmU6dtNDrzju14/mFC0UVXJkyohE8aXwKsObOnYu1a9fi4sWLuHDhgsMv8i9nB0Hy6dfPoiAPvDIztQM9byqw9Em7s4O5tDTtDdmoA3lZzZWWplU7+DvAcme61kgcQgg4r2wxm8WHOOA8wIqN1UIWV9Vyy5cDI0ZoJfR6gQqw9M1iHX0Y6YcRzp0rvu/aVYTEcXFApUoiubGdpcRX+m1d/r9c9cCSBzkyeHDE3gG4DBLLldNeb+4EWKmprgMsk8n6rKcvAlGBJYdeO3vPs1eBZW8Iob4Cy9sqPU97YLlir+edNxVY8ncSEkQnXGcBln5Yj5yxMRw4m4XQ3xVY8uDCEdsAa906cdm2rQix5ef3wYOeVSvNny8qDxRFVMHk5ood/XvvFe+Vw4Y535b/+EPsb8THixnEALHDr59O/eRJcUYaAB59VAyDAsRBgqx6s7VypfXPsp9KoMydq1UP2jYRN5KqiiE3Um6uezNYRQJ3PvtTUsRnsO3wnZ49VSQlFeDkScWncHPdOrGtpqe7nm3NV4oCjB0rvn/3XTFksKBAVAPpw7MyZcRMfwAwdap4jzh3zr3+V5JRAVbjxqIB99dfa43Lw40ccZCbq4Xm+nDqssu04W9vvaWFREYHWLVqeT9crE0bcekswNqyRVw2a2Z/OZ4MI/SmAktRRKNzQHyWPPqo9e1VqojHU1URRksywHLnmMwZ2dZk+XLxGXjHHeKESmysOBHhrPpKkuswZYp47aSkiM8zb7zwgnj9nD4tXjuXLgGTJonb/u//nFf9l0Y+BVhjxoxBRkYGDh48iM6dO+PDDz/El19+WeKL/MvTCqyyZbXfkRUm/qzAUhTjhxHKx6lSRavs8dcQQk/eLMN5CKE7AZa9ypbdu0U4Uras6/Ho7v6vZEiwcSOwbZv1bYEKsCR7wwdtb/vjD63/hL7otFo18aQa3QdLHhyXLav1HDNiCCHgPMCqXNn1/7CgQKvWKlfO9RBCI9sk+rsC6/BhcRCtKM63C+sKrDir6/Tk+3B+vuNKJlf8VYFVUKBtS75UYF1+ufjl06cdbzP6CqxwD7BCtQJr3TrxRiEPsmrUEMFxfr77MwTv2iV6pgDAk0+KkP+vv4AXXxQhk6KIvjByiJU9n30mLm+4QVRZpaaKx/jgA+0+b74ptr/27YFrrhFBr/z8ddT4Xc5uKw8sv/rK/SngfZWfLw5gpM2brQM5I/32m6j8iI0VYSEgwoLSwJ3qV0diY4EOHcSGLoeaekNu2/6uvpKGDxfvKfv2aUPW9NVX0n33iX237du1IKBDB/cDEDnk+MAB8T4tT4h7GmABoiKsb1/Pfy9UyABr40at/5Xt570cFjl3rnivql7ds/DGGblP5E3/K0kGWLK5vD2uRk7I4aCuAqzMTG178fQ5GDVKvPevXGn/5Kq9YYS+NnCXrr9eVHDt2gUMGSJ6gEVFiSpGd4fqyc8l2dt34kTrghFPxMcDH38sPpe/+EIE8SdOiOdUBlmk8SnAmjFjBk6ePIlHHnkES5cuRY0aNTBo0CCsWLECKuc7Dhh3emDZvqD0MxGazd6Vf7obYAHGB1hyx7RqVf8fMHhTgRVJQwgB57O76Ru4uyrnleGHq4BBf7ssmZf8HWDZzm7oLKiQQws//1zsXJcrJ5pRSzLAMroCy3YGQsC/Qwjl600fGGdm2q+00P+e7IHlrALLyADL3xVYcuhTp07iuXBEq8By3sS9bFnt/+ZtHyyjA6zERO11LJ9HX3pgVayYg8qVxYYiK31t6Suwwn0IobsVWN7sIulnIHQ3wNq3D8jPj8JPP4kjXhlgRUdr+wHuDCPMyRGzVWVni14vTz8tDqKbNgUef1wES7JaRM48Zm/9ZYA1eLAYfvjcc+LnJ58U21lmpvaerz8jLw9k7A0jNJu1KqRJk0TwVVSk9ST0t//9T7z/y/fHnBzrUNZIsvpqyBBRMQCICjhfhsWFC31VtDeuu07sPHzxhffDLgPV/0pKTBSBkNSjh/3KkNRUreJJ9jXypCJIzkSoqtrw27g46xlWSwtZES7fUzp1Kjk5UefO1hV4111nTP8rQAx5jY7WKoS8IQOsf/5x/FnkboC1fXvJlgB68vOjYkXrfVJ3mEzifaxRI/u3+zPAKldOq+5dtEj8/+bNE5PJuEu/3uXKaZWQ3mrZUny2AuJECCCq/IzqExtJfO5mGBcXh6FDh2LVqlXYsWMHrrjiCtx3332oXbs2srw9pUwecdYI2N6BB2A9E+GxY+IMQkyMZzsGwQyw5OMEMsBy580yEoYQ2jsL4iwYcKf/leRuBZZ+OQsWWN9fBlj2mrgaRb89u1OBJStVhg2zbqxcvbrYEPw1hFAfWrgaQiiDBqMCLEezUsrfK1tWRZkyYviYvYMFGbQFugIrP9/7Bs+y+fTgwc7vp1VgKcjIcFyBBfjeB8voAEtRSr7eXVVg2Qtj5O8kJhbi8svlhAYl72exaKEMEJgKrMJC74dsSrm52jbsaQXWCy+IakZPh5qdPCm27ago159HlSqJAwqLRcGmTZVx4oSC2FjR/0rypA/W2LGix1SlSuI92d7JinHjxPazbJn9//XmzWKfo2xZUYEFiIPuK64QQwOffVb00srMFAcGN96o/e4114hLewHWli1ie0tJEc2t5YH8e+/5P9jJyxP/TwB44gntwNEfwwjPnNFC9LFjxcFduXLivcOfwxZDhfzs96YCCwAaNLiA9HQVWVneVa2dOiVeA4rifnN0I9x3n/b98887vt+DD1rPoufJOiqKForL4bhVqxoXyoQT+RzKAMteEGgyac3cHd3HW127ivdATxqB26pSRezHqqo2VFBPVbXRDY723StXFp8zquq8/6A3wwfdJQOs337TPm+NCrAAbYIQQHz2yKpWd+kLGyZNsj757a3HHtM+R/r2tV5H0hg6C6HJZIKiKFBVFebScDooRLgzhNC2AkvfyF2eFa9Tx7NeNGlp4g2rTBnXbyThGmDl5mrD2ViBZT8Y8CTAko/jKsDSLycnR5wVkb8nD9j9VYFl+9j2GrhLdepYB0K2c1ZUrerfIYT2KrD8OYSwShXx+/Lg1d7/UV6XnAzEx4vPgUBXYDkKsHJzxTDpDh08f+y9e8UOX1SUmKXGGXsVWK4CLG8rsOTr1qgACyhZcemsAstsFidAbMkztklJBcVD0+2FGgcPWm8f3gZYqupe5d2ZM2I7HjnSu+VI8u+LirJ+7t2pwFqyRKzH8OGeneyQQV+9eu69bmTA/u23olSgbVvrgN3dAOujj8QQaZNJDBGsXNn+/S6/XAud3nqr5O2y+qpPH+19KDoaeOMN8f077wAvvyy+f/hh66oHGWBt2VLyPU4OH+zWTTzewIFi/+ToUa1Br7+8954Yglm9ujigbdtWXO9s6I63PvhAvNauvlp8xcRoQeA33xi/vFDjawWWogBDh4qzF94MI1y9WlxeeaX2vh0I9euL4HLBAuc9rapVEw3GAfH6uuoqz5ZjG2B5M3wwEsjjIHmc4SicGjVKu2+XLsaug6MZZj3hrA+WvoG7s36K7vTB8mYEj7vq1RP7TgUF4gTIpUvakHcjAqzbbxfN3D/4wLvZMps2FaFVlSrarIq+io4WQ+BfeklU95J9PgdY+fn5+PTTT3H99dejfv362L59O9555x0cOXIEiUZ1lSWn3BlC6KgC6/BhLT335s3n55/FGSlXMy6Eaw+svXvFgVFqqvPZKKRI74Fle4DobgN3ydMhhPKDdeZM8X+QZ2BTU103I/eF3EGOjRU7j45ERWk7fc2bi/JfverVxZN6+LB30807Yq/qRu7wmM2iwsSWUQGWolgPI7Slrw6LiyuyWraeP3tgOQoy9u4V29DGjZ6/F8mD727dXL8XyADr9GnF6RBCwHkFrTvktmDkx63+9V5QoP3/7FVgAfb7YMmAx1UFlhw+KA8EvK1Ee/FFEVqsWOH8fps3i2qfL77wrTpHP3xQX6UgX5OOhtgC2uvp4EHPGr7KWfZcDR+UZIC1Z48oEbM9EHMnwPr7b2DMGPH9M8+4ruqQQyjmzrV+n7dYtOqhQYOsf6dbNzFsw2wWr4Nq1US4p5eeLt5/Cgu1oRWS/J/LWaXi47VhV/5s5p6TI7Y7QAyBjIvTKtyMrogqKtL+FjlUE9B6DZWGPli+VmABWoC1YoXnYbmsyAlU/yu9gQOBoUNd3+///k+8fu64w/MG4PJ9Rb4f+LPKPZTpq9jS0hyfxKxSBVi6VAw/k7PRhRJnAZY88dy0qfPtxJ0Ay5djSFcUxXoYodyHqFDB85n+7KlYUZzkkMOxPZWSIvZhtm3zfPikM5Uri0qs0jiE110+BVj33XcfqlSpgqlTp+LGG2/E0aNHsWjRIvTu3Rsm2wHD5DdGVWB50sBdqlTJvZlYwrUHlr7/lTul1OE6hFBVtSoITyqwNm8Wv5ec7F6FmqdDCMeOFYHLzp1iKl9/97+S5OM3bmy9M2NP167iUg6f0UtOLkBamgpVddz/xxv2hhDqz9jZ64NlVIAFOP8/yt9LSVERFxfYCiy5nWZm2h8mqH//kTtw7pLDB4cMcX1fWW115AhQUBBtdZ2tUBtCCFgHWPowUF8eHx2t7fja+/9qQwgLnAZYsleQ3Nn2tgJLzlLkbKgDoJ29zclxb+icI/b6XwHa68disR9am82iob30v/+Js63ucLf/lWQ7/NmbAGvMGPF3XH+9ODh2pUsXceIhO9u6B9WmTQqOHRPbqb3eLq++qm1PEyaUPKhSFPvDCC9c0A7QevTQrr/7bnG5fLk2WY3RZs4U/8vatbXATG7H+/Z5H0rbs3Sp+Py77DLrALBnT/EZtWeP8UPVQ0lRkfba9SXAatBAVDGZzdpJCXeoauD7X3mjTh3RFsReBaQrspG7VForsPT7fPb6X+n17AkMGOD/dfKGPsCyPZni7sgJGWD9/rvj/XZ/DiEErAMsI4cPGqVmTcdVyeQ/PqVMs2bNQnJyMurUqYN169bh7rvvxi233FLii/xLHgBlZ5fcYfZ3BZa7wnUIoScN3IHQHkK4d69I9O0dKOfmah9wnlRgyQOv3r1dN3AHPB9CWKuWdiZ+5kyxYwb4P8CSQ8z0B0SOPPOMmIXQ3hkcRQHq1xdPrJEHF/aGEOqDIHsHzu4GWPaqqzwJsDwdQmhkc0q5famq/XXzNsD6+28RHsTGWjfpd0RWW+Xni0QzIUF1WCFlVAWWvwOslJSSr3H5N3lSgWW7Iy0rsGQQnJ3tXYNl+b4mhxk5ot8G/vzT8+VIjgKssmW1INve58DZsyLcMpmAhx4S1911l+iv44ovAVZcnGrV/wpwHWBduqQFg++95957vKJoVWVvv63NxrdokXhSbrrJ/mu+Xj0R5t19t1bxZctegPXDD+L5bNTI+nOhfn2xTakq8OGHxp9QzcoCpk0T3z/1lBa4paZq+wtGDiOcMUNc3nmn9fOXnKwNX4rkKqyTJ8X/OSbG8ckAd40YIS49GUa4e7cI0OLivBuCHg5s31dKa4Clb6ViZG+rQGvVSrxnnzyp7TtL7gZY1aqJzwmLxfEMsP4cQghoAdYvv4hZoAH3j8kocvn0qX7bbbehc+fOKFeuHFJSUhx+kX8lJ2tvuLYHQTIIsA2w5OxDZ89qBxDeVGC5y8gAS1UdB1jeNmd2xNsA69IlxfB18dXzz4sdbv105ZL+ANRewOEowJI7zO4c1APuV2DpKwflwcySJVozSn8HWJ07i9fGSy+5vm9cnBg+6Ig8U+SPAEsfWiiK80buMhRwNfTSnQoseR9nFVhiCKHZatl6/qjAiovTKtHsDVP1NsCSZ+p79nRviuTUVOudYEfDBwHfK7D80QPLXoBlr1xfbkv2AkotwCpAnToisLl0ybr6CNAqsPRTvnvzXMjKLU8CLP3sh55yFGApivM+WPK1VLGiaP7dvLn43L7jDueN5VVV23l3N8Bq1AiIihIP2qaNWiI4ktXTFy/an2Vq40bxmVqrlrbP4I5hw8TQh8OHgaVLFZjNwBdfiN1NZxMgDB8uGuk6Ctn1BzJy+Kft8EE92cx9zhwTCgtFgHbxoqj2atrUeiiep955R2yndesCt95qfZvRwwh37hT9l0wm7W/Sk7NmRXKAJV/X1as7r4hxx5Ah4sD+t9+0qtCMDLFdvfee+LL9zJLVV9dcY0x/olBUsaL1kKXSGmDpK7DCOcBKSNBOYuiHEaqqZ71rnQ0jzM3VwjF/VWA1ayb2OTMzgcWLxXWhVIFFweFBy+6S5s6da9BqkC8URRwEnToldoT1pYzy4MP2oKtcOe0NQTYpD0QF1sWLYsfAVRWIM+fPa02DK1fWQis5DM7IAzlZruppgAUAeXk+vbwMJ/un2Dvbrp+B0N7Oob0hhLt2ia+YGPen+3W3B5Z+u23YUJRCb9okGgkD/g+wAOOatDZoIA4gjWzkbm8IISB2rPPyjBlCKMOpnBxteZ4NIdR6YAVqCCEggpbcXLEN2fbw8CbAUlXPhg8C4jVUoYI+rFAB2B+D7EsFVn6+1u/MXz2wnAVYcpm2/19Vta7AiosTAciBA+KAUX5G5eRoQ2ubNRMHUMeOiTBKVgm7S4ZecpixI3IYEuCfCixAvC4zM+1XYOnD4Lg4UQVy1VViqNvs2fYDCkA8L5mZIhh11pdPLz5e3HfnTuDaa0umYwkJYj1OnhSfC7Z/izzjLiuf3FWmjPg7XngBePttE3r2LI+TJxWUKwd07+7ZY+k1bSqe24wMUY3WtKkWYNmrlr3pJrGtnTqlYNmyOli3zoS5c7XPu7//Bh591LPPE7MZmDpVVN4CwOTJJYeZt2snPquMqsB6911x2aeP/ddF375iprqNG0VA7GuFUijytYG7XsWKYntZvlxsI9nZJd83XnxRDMOTPcaC2f8qUORMhD/9JH4u7QFW+fLOG5yHgzZtxPC/TZu0oPvQIfG5HhPj3t937bWiOtZegHXggLhMSfFfv6aoKKB9ezFZRygOIaTgYKOqCGHvIEhVHVdgAdY7QjExvvUVcCUpSTtrZXsG3lPyAKB8eXEAEB+vVTsYOXTPYvG8AisuTvvwy8kJnQBL/7fY6wfirIE7YL8CS57t7dLF/eaF7lRgWSza7XK5sgpLHqwHIsAySqCGEALuVWB52gNLvt7KlNFuc28IoVo8hDA3t2R1pL8CLGczZuoDrJMntb/NmW3bxDDrMmXEAaS79AeR/qrA0lf4BCPAkhVYtkMIc3O1kwxJSeJFK0MXfR+sHTvE59Rll4nnS36OedoHSz/s8OhR55W4/h5CCDjvhSi3ORniNWmiVXo+9JD9PmGANnzw8ss9a858xx0WVKqUjeHD7T8pzoYRyqF6ngZYgAhUoqOBDRtMmD+/EQDg5ps9byytFx2tVTetXy+2n2PHxPvetdeWvH9MjDa0e+7cJnjnnShkZYmDdFlxLs/ou+PgQVGN8OSTYmjk0KElm80D2kyEv/3m20QBgHhtffSR+P7+++3fp1o1EYKqquiVFYmMaOCuJ6vmdu3SHrt6dVHJV6OG2E+66SYRYO3bB6xdK+4TyQEWYN0Hq7QGWPJ4wlX/q3Bgr5H7tm3iZFrT/2/vzOOjqs7//5nJZF+IIEvYQURAQBYFAXdRELSiVrHW5utetLQutf7cqtVq1brWVnErKlWL1VrrAm6IIIogm4CsioACiaxJCBCyPL8/Tk/uncnMZCaZO+fmzuf9evGaTG6Yz7nnPnNn7uc+z3MGxPb9S2dgLVrU8LPeXj4YS5/gpqKzbzU0sEgLf2sSTbhG7hUV1hf5cGUvdgOrR4/gkpdE4/NZF3FNbdKrsZcP6td2ovfUli3qoig9PfYVRuxj2b+/ke7fSWTzZsvU0Bl3dhozsMKZAvGWD9pfJ5qBVVFhldJoo+SCC4IvoFuSgWXPwIpWIhQP0TKwgPAGls6SidfA0r159AqEQGwZWAUFVglhuDE5mYEFhF+JMLSEOZYsLF0+eOaZ8ZlEdtMqmoHVnAwsbZBkZyf2/K3ncM+epmVgaXMnEBBkZaksvHAGli4fHDgw+DMiXjPP/vcHD0b/jLHHwObNjWeDRmLnTvUYKQMLaDwDS3PttepGwL59yhwJR7z9rzS/+U0dnn76o4jlHZEMrJoaK4OoKT1/Ona0mo2vXq1uzYeuPtgU7H2wdPbViSdGLuu68krVgw4Axoypw/vvq7j7zW/Udr0yYjRElIl01FEqKy0/H5g2DXj55fB9wfr1U3+zd6913JrKP/+p3ueHHx7dPHFzGeHu3cCyZW2b9fmXyAwsQMXiU0+pf/PmqTF+/71akWz1atUvND1dGYJ9+qhj0Lo1MHhwYvTdiv38or9jpxr6O0lLLh/UaANr0SKrH6E2sGIpHwRU9nTXrsqM1z0RAfVZ+8EH6menygc1dgMrEHDnqo8kudDA8gjhDCx94WHvC2PHbmA5WT6o0RkJiTawgNh7K8WDzpjp1avxlejsaAPATRlYq1dbP2/e3DBDwV5CGA598VpZqbKgSkqsixudYh8LsZQQ6rjNyrIyirKzrVWegJZlYPXsqT5wKyuDy5eaQ6TG3ZEMrJoaKyOmqRlY9gvuWJu4Z2RYBlaoyaHLHE1kYPVVCSGNGlh1dZaBFWv5oCY4AyvylVtzMrCc6H8FND8Dy56dpE3PcAaW7kGllylv6k2O0L+PVEZYXW39rZ6zpvbB0vsYrmwilgws+/vJ7wceflj9/NZb4WNXGyGJLmmJZGB99ZV6z7ZqFb9pprn2WuvnNm2kvlF/c9AG1qefqpISIPpiG926AYsX12DKlA/x9tu1OP10FZPnnacev/giet+0ffuU2XHJJep4Hneciplf/CJyxkFaGjBsmPq5uX2wnn5aPV51VfQMB/05/NFH4Uu2TVFaCowaFcAf/jASr7zSeIrGunXB2SKaRGdg+f3AL3+p/o0aFXyTNzdXZUV+9ZXqh6mz6E45JbaFDFoy+vzSrl3zsiVbMr/+tcq2Dpdd2dI44gh1Dt+/37phtHRpfAYWYGVhzZ2rzoOPPKI+O/TiEqEr3iaaY46x4vGww+K7JiPehAaWRwhnYNkbYYfDbmA52cBdoy9OmltCGM7AciIDSxtY8aaqJtvAmjXL6s8QCbuBdfBgwxWvGsvAsq/FsGePuispor6kx3OXLhajMVLZ66RJ6ktnTk7LSm1PT7cuEhNVRhiphFAbWKE9sOyGViINrHDvNysDS+D3A9nZyrwJbYrrdAZWqAlQW2vFvS4FbMzA0he3+fmx93nT2LOuovWk0RlYu3dbd0hjRcdBIssHgeb3wArXe7GxDCwgcQZWJENCx3J6ulVy1lwDKxEZWIDK7unfX70vXnut4f9ragZWY0QysHT/q5Ejm15GM2wYcOyx6m7JhAmSkIuOYcPUDYEtW4CPP1a/a2y12MMOA4qKgk9ARUXWXf1oZYQPPqi2BwKqL9Inn8TW0D4RjdwXLVLnqIwMZaBFY8AANa4DB6ysCNPs2aNK8r75Rl0wP/FE9ECqrFRm0rHHAn//e/C2RGdgxULfvur71csvq/LXO+9MnrYpjjtOld3ee6/pkZjj/PPVjYRw5/aWht+vzB8A+PJLP0Tiz8ACLANr6lR17fjb36ry7aIitTjUjTcmeOAhZGVZNwVYPkgAGlieIbyBpU5S4S48gOAvYcnIwEpUCWG4C4BYDKyNG8OXz0Ui3v5XoWPZv995A2vPHmD8ePUvWgmS3cACGs5DYwZWWpq1X7t3A2++qX7WZQuxEksJYSTj9fDDVcnIjBnhl2F3MzqGEmVgRSohjNQDy24eNTZ3+jgfOKDMzngzsOwlhEDkleqc7oEVWkK4fbsysXw+YNw49bvGDCzdvP3ss+NfecpuWrVtGzkDy56lpMvSYiVSJl5zSVwGlrXf2sD65hsroyE0A0ubec0pIQQiG1j2mx+DBqmfm9oHq6k9sOwluXZ8Pqsvz7RpwduasgJhrEQysJrT/8rOk0/W4uSTN+O225rZDOp/5OYCQ4aon2trlaGhMyrjRZc0RiojPHDAyjB4/nnglltiz8DRBlZzGrnr7Kuf/rTxRUV8PneVEe7bp24ULFumMlDT02uxaJEfX34Z+f9Mm2Z9j7nySuCVV6xtic7AihWfT62q+cYbLb+hdywEAmql6iuuMD0Skih0GeHChT78+GM2du3yIT3d+tyNBW1gbdumvhP07g08+6zqC3jTTYn/HheO8ePV48iRzmsR90MDyyOEK0NxawaWEyWEoSunhVJVpe5CHH10+IuKcDTXwNq3z/kc10WLrJXIwqXda0INrNBG7o0ZWIB1Afv99+quJBBf/yvAMj7sTZ5DiRa3o0dbH6QtCX3HKFErEcZbQmhv4N5YNoX9NSsqGjadBqK/3+wlhFrTPgZNspu46/NG+/bqPOD3q99FauReW2tlwsRbPgjEnoGVlmaZIPH2wUqmgRXOqGmsB5b9/3Tpoo51dbU6/5SWqs8rvfIV4HwJof2z46ij1M9OGFj6eMRaQqj5+c/VfMybpy4MNJs3q3N0enribzZpA2vLFuu8IWIZWE3pf2Wnf3/g2muXNlgRtDnY+6GMGdP05sG6jHDBgvCLm7z8sorRrl3jPwfoi8a1a61YsfPII+omYiSDq7xc9b8CIq9MGYo2sN5+2zq/muDgQTW38+apz/x3363BqFHqzadXVAylrk6t+gcoQ1IEKC4G/vMfdX7R5n6yDSxCWjp2A+vbbwsBxN7AXXPYYcpUPuUU4N//VjdUrrgiOcaV5sYbVYn09dcnT5O4FxpYHiFaCWGkDCxTPbCcKCGMVtIEqLveO3aoL0GxrtLTfAPL+Qwsu2kVqVRBxDKw9EVbaAaWvgCNZmBpY2D6dPXluFev+O9820veIpmN0TI+WiqJzsCKt4Qw1hUIAXUHVv9deXnzM7D0a0XKwEp0Nl2kJu7280ZurnVMImVhzZ2rzhuHHAKcdlr844g1Awtoeh8sp3tgHThgHf94MrDClRD6/daNknXrrPLBXr2sGGmqgaXnTcd/pAws3YOuY0erbHHlyqatFBdLBlbo55FIdAOrUyfU94l66SXr97p88IgjEt/7o00ba7zaNNu4UY0zPd0qP3ET9qywxsoHo9Ghg1VKGlpGKKJMJkD1xIl3kYQ2baysw4ULgx22L74Afvc7ZZoVFzc09wFlnlVWqs/YWLPgjj9exdCuXVaWdLKprVX79N576v347rvqe8cZZ6jgmj49fKbpBx+oz8f8fPVd5v/+T73WxInAM8+ov8nPD25nQAhpHLuZvmKFSnOOp3wQUEb/M8+om9fnnmumF1wgoD4fU7U3GwmGBpZHCLeSVWMlhO3aAaefrr70xNLTobkkIwMrkoFl/8KkmzJHo7zc0mlqD6xklBAuXGj9HMnA2r5dfaH1+dTxBpqXgaXLLSZMiP/Od1qapRHJwGosc7Al4pYSwlgMLCD4/dR0A0uZNrm56jHZJYSRMrD0eUN/gYtkYOnywfPOa9oXplgzsIDwNyBiwakeWPn5VqaeNjWasgqhvYQQCO6DFVo+CFifY03NwNJlgY2VEHbqpIyz7Gz1Xvnmm/j0qqqsfY4nA2vPHivu7RmNduxlhHrVtpUr1WOiywcBdQ4PLSPU2VdDhsR+zkgmo0ap92RWFprdGD5SGeEHH6gsg7y8ppdTWWWE1gdlZaU6xnohlfXrgTvuCP5/Imp1PEBlX8X6ORsIWIudPPts08bcHOrqgGuuUd+x0tNV9pTO4OvdezcGDxYcOKDKMUP5y1/U42WXqc+Xv/9dmVfV1cANN6htzL4iJH7atVPXeCI+zJmjUmHjNbAIcRs0sDxCtFUIIxkBPp/qKTR3bnLc9EQYWJHuYMdjYL33XuNLp+tGwx06xG+kJKuEUCQ4A2vhwvCZBDr7qnt3y0iJtwcWYM2DnuN4+1+Fvk4qGVjaBP3hh4bZKvFy8KBVfhkpAyvUwNIX204bWCLmSwhjycACohtY1dVWRsbEiU0bR5cugN8vyMmpbjSbsKm9n5wqIfT7rfefHlNTemCF/h+7gRXawB2wPiO2b7fMm1jQY9THNJYSwrQ0q6dNvGWEOrZ8vvAZIZE+j+zZbJEyD889V71nvvnGOr871cBdE2pg6Qbuze1/5RRt26rvLh9+2PxM3XPPVfG+cGHw5+Kjj6rHyy9v+mfRsceqxwULLAfqppvUse3Uycqye+SR4BtQCxYogzcryzI0Y+Xyy1VczprVsK+Zk+zfb2VL+Xxq3+zZcT4fMGmS+oIyZUrwSshr1qjvZT6fynYD1PvzH/8I/p7RklYfJsRN6HORvi6hgUVaOjSwPILdwNJf/PWFpFtKsRJRQrhzp7q4BILvYDe2up3dwDp4sPEmp00tHwSSV0L4/fdqLgMBZTzt3Wtd6NjRBlbfvlamXVMMLHsctW1r3V2OF32sIpmIXiwhbN3aMinsq7A1BXtWR+jxiqUHVizoGN650zIHIhlYdqNB92Ozv4apJu7NycCaNUuZMO3aASed1LRxtG0L/OtftbjllgWN9h1rbgZWog0soOH7rymrEEYzsKJlYFVVxd6rELBuihx9tHosKQnfAyg0BnRJdbwrEdoNunDHNlIGVrTyQU1enjJVAHUBDyTfwEpU/ysnOemkxBhsHTpYfRW1ab1ypTLI/H7gN79p+mvrz8iFC32orQU++MBX3wPqhRdUz7PiYnUOvewyq/RbN2+fODH+z8Hu3a2S59CV/JyitFQdj9dfV5lX06ZZmW12Jk4UFBYCGzao+dX89a/q8ayzrFgE1Gu9+qqVOe5U/BPidXQZIQCkp0tcDdwJcSM0sDxCmzbqsbra+tK8e7e66+eWTBZ9d33Hjqb1HAGsC5C2bYPLeuLJwAIirzqkSYSB5XQJob47P3Cg9eEUriGs3cDSfc82bQo2HuI1sM46q+lZe42ZjV7MwAKsLKzmlhHqGM/ObtiXRWd1NKcHFmDF8Pr16jEQCF4FSx/D6upgo8D+/tMX8dpUc1sG1qBB6o7/1q3WynAaXT54/vnx976x85OfCAYMaHxpwaZmYDnVAwuIzcBqPAMrfAnhqlXWqnr2L9K5uVaMxpOpq+etb1/rPfDDDw3/zt4DC2h6I/do/a+AxjOwohlYgJV1M326ei/rc3gyDKzduy3DzM0GViI5/3z1qL8XPPaYepwwAejZs+mve+SRKqYrKnxYs6Y1rrpKfWj++tdqQRJAZXp16KA+F/7wBzX/+vwTa/P2UK68Uj0+/zxQU9P08cfCypXq+8fCher98NFHwMUXh//bnByrxFGv7rhnD/Dii+rna69t+H8yM4G33lI3HUNLLQkhsWE3sI48MrnN1wlxAhpYHiEnx/rir+/iN9bEPdm0aaMuGEUaXy5+06bwZlS4/ldA7AaWvtP6wQfhVwbSJCYDy9kSQt3/atgw605vuD5YdgOrSxd1DA4cCL5AjKeEEIh/9cFwr5NqBpaOpeauRBipgTuQ+AwsPdb27YMzTfLyrL4s9uOof7b3UIqUgaVNNlMZWHl54Ru5HzigercATVt9sCm4rQcW0PBzI1ypXKRjG8ng0QbWli1qnnNyGhoE9jLCWBCxzmXt2ll9csKVEdp7YAFW+WJTM7AiGVjNycACVF+noiKlM2WKev9mZARnpyQSu4H1+efq58MPD+7j5mV0GeGXX6obQ7q0T/deaiqBgPp8BoAHHzwGW7f6cMQRwP33W3/TurWVcfXgg8B116n3hv3GVLz85CfKFC8pUU3UwzFnjtIKNfrj4f331ZL2mzapePniC6spfiS0KTdjhuqv9/e/q/NH//7AySeH/z+ZmWqfwn3mEUIaZ/BglXkFAEOGxFGfT4hLoYHlIfRF0M6d6srSbUZAIGBlikW7u/7tt+rL0E9+0nCbvgAJvQDQX2waKyEcOVJ9MaypsS5Sw9GSMrCGD7fq2xszsDIyrIs3eyN3bWDpC9Jw6AvanBzr7nFTaCwDy4slhEDiGrlHKxtrzMCKdnzthBpYoe83vz/8ey50BUKlKUFj0DidgXXgQHAmWjjzO1wZ4fvvq/3o1EmdL5KBzsCKt7w6WSWErVqFz7jUxlmkDKxQg+fQQ4M/j448suHrxtsrce9eK5batrUMrNBG7pWVVqzqGNAG1ubN8V3IO52BlZYGXHSR+vnee9Vjnz7NywaMhjawvvtO9cQE3Nv/ygnat7dKhS+4QMXTsGGJef/rm0t79mQhLU0wbVrDGwk/+Yk63nV1qvwOiK95eygZGcAll6ifwzVz37JF3YT6y19Uz6xY+81VV6vvGPfcA5xyCjBunDoHnXiiMq/0KqPR6N1blTiKqCwsXT547bVN319CSHSysoCjjlJv9KFDaWCRlg8NLA8RuhS7LiF0kxEQSx+sxYvVF6U5cxpe7OsLgNAMLG2KRMrA0pkNbdpYTZkjlRHW1FilU/GuQAgkpwdWTY110T1smGVgrV0bnFlWXm6V0vTtqx51GaG9D1YsGVi63GbiRMsoaQqN9cBym/GaKBJdQhjNwGpuCaE+RpEMLCC6gWXP1tGayeqBlZ9vXQjpWKqutgyRxgwsXb4zcWL4/kZO0K+fely0KL7y6mQZWJE+QyJlYFkLiAR/Ufb5rCwsILiBuybelQj13+XkqPHoRs+hBpY2MHNzrfkqLLQMr3iysJzOwAJUbyTAuvniZP+fzp1Vv6HqautzMVXKBzW6jFDHzfXXJ8ZQ0Z/NAHDzzXX1GVmhPP64Zd7m5qr+WM3h8svV48yZweW0ut+WPjf+5z/Ac89Ff6033wTOPFN9fxo5Evj974HZs5XhdumlKqM90nshHL/6lXp89FF1I61Nm+bvLyEkOg89VIczz/wWF19c1/gfE+JyaGB5iNAyFH1h6SYjIJa76/bSD30xqWluCWGbNlZz0VmzwpepbNyoGr1nZTVt2eZklBB+/bUyJfLz1Z35Nm2su5/2lQnXrlXfwNu3ty5CdSP3cBlY0Qys449XfWt0E9qmkqo9sHQG1rp1wSswxUu0EkLd/ydRJYThGrhrwh3H0BUI7ZrJMrD8/oYmaWmpunBLS7MMEqChgVVZqfqtAMkrHwRUP66CAnX+WrYs9v+XrB5YkQyscBlYNTVWHIS7qLUbWOEaycZbQqj/Th/XSCWE27apc2GnTsHGRFMauevPk1gysOzZLfEYWAMHBht8esVEJ0hLA3r0UD/rGxuplIEFWGWEgDJBzzsvMa974olAz56Co476EbfeGvnE36aNypZKTwcmT25+udwRR6hyvro64IUXrK/6Tz2lDKesLODqq9Xvrrsucmn71KnAOeeoUsSKChXz552nvgesXau22/uRxsL48WqO9efgL3/ZvJtihJDGGTlScMUVK/leI56ABpaH0F/gdQmhG0uxmmJg2S8AEmFg9eoFDBmiMh3eeKPh3z7yiHrs169pGRjJKCHUJtUxx1hj1KUK9kbu9vJBTbgMLG0uNNZLx94kuak01gPLjXGbCLp3V1/0DxxomB0SD7FkYCXKwNLEamBFy8BKVgkhYMXOnj3qXKjNi6Ki4Pf04MHKzNiyRZlc77yjxtmzp7WiXTJIS7N6x8yeHfv/S1YPrHgysOyZleH+X6wGVrwZWPr/RSohjPTZ0ZRG7rFmYNXVBb8X4zGwAKuZO+D8Cmz2/lqHHhp8nFKBdu2s1fuuvVYZSYmgoABYvboGf/jD/EZf8yc/Ue+f++5LjLZu5v7CC37U1qrM8htvVL974AHgb39T/db27QN+9rOGK3dOnw5ccYX6+YorgCVLlGH8+uvK/GpqjAQCVi+sQAC45pqmvQ4hhJDUhAaWh7BnYFVX+7F/v7tWIQRiKyG0G1hr1wZfWDTWA6uiInx2i93AAqwywldfDf67J55QTXN9PrUiUFOwlxDG2lsiXnQDd3uT13CN3NesUTFgN7CamoGVKKKVEFZXWxfDborbRBAIKPMUAD79tOmv05QeWHpOnTawwmVgRSoz0xdLzTVEwxHayD2SeZGXZ5V2Ll5snQ8mTkx+Pxbdg+eTT2L/P6ZLCPX5oqrKWu1MG9D5+eF7NjVmYMVbQqgzsLSBFamEUJuYoTHQlEbujRlYublW/NhvqsRrYF10kWW4Or3sud3AGjUqNfsRTZ0K/OMfKiMpkfh8sc9nTk7i5v6889S5cPNmH5YubY/LL0/Dvn2qf9XkySq2XnxRxfHSpcDtt1v/9623lIEqosymZ55Rhn+iyqonTVLm2V13WX05CSGEkFiggeUh7E3cKyvVrT6fL/zqUaaI5e66vvDQF6H//Ke1rbEeWCINGwoDDQ0s3e9izhy1Ug8AfPihtYzzffcBZ50VdVciosdSV+dv1go/0dAZWPZ+GrrXxoIFlokXzsBqag+sRBGthND+Oy+uOKRNxuJi1TtEx148xFJC2NweWPEYWPYL9HBN3HNyktvEHbAMF/3+i2ReAFYZ4ezZamUsILnlgxq9Atenn1pmUGOYNrDsiwJog7Ixc0cbRt27B5dzauItIdSfJaElhJs3x5a9qzOwVq6Mvf+Y3kf9eRKKz9ewD1ZlpfVzhw6x6XTsCLz8sirXCl2tMdHYDaxUKx/UdOwIXHxx+AULWiLZ2VYW32OPDcEXX/hRUAA8/7xlRHXqpFYCBICHHgI++kh9Fzr/fHUe+sUv1I29RBuarVsrrVtvTezrEkII8T40sDyEPQNLG1itWiWvEXEsxFNCqNPKdRlhXV1kAysz00r5Dy0jrK62fqfnqEcPZf7U1QH//rdqrH3++eoCprgYuOmmpu0foC7qevZUV05LljT+rW/+/Ngv1gB1EfT11+pnewZW//5Ku7zcKh2MloG1caOa1+pqy0wwbWA1lr3R0nnwQWt1qBdeUNkoDz+seq5pRNQF8rJl4UsNW2oJYbJ6YAH2MlUV/5HMC8AysJ58Uo2pb1/ns13CcdRRat7i6YNlugdWZqZ1sa/H0piB1bevahz95pvht8dbQhgpA2vv3uDY3LrV6oFl57DD1Ptm/35r8Y7GaGwfgYYGlv7sysmJ73hdeKHVq8hJQjOwiDfQJYB796pGVX/9a8PenhMmqD5UgGqmfvbZ6jPpvPNUVpqbvkMSQggh/FjyEFYGFrB3r3Jz3FaGpS8yIpUQVlVZ2375S/VFf/Nm1ddpxw51R9Dns0oRNT5f5D5Y+mLD5wueD11G+PzzKtuqrEytsPPMM82/23jMMcrAWrgw+gstXKg0Bw2K/eJp8WJlcnTuHGwsBAJWRtaCBT5UV/uxYYN6bjew9JfXyko1N3ZjIRkGVrQeWLrky2v9rzSHHKLi7YsvVP+yigrVk2TAAGDsWNV3LT9fZXYMHqwav9tXkAKaVkLYXAMrXMZIokoI3ZKBpefowgvNlE/Z+2DFUkZ48KBlfJrqgeXzNTy+sfSwmzDBynwKpamrEOr/l5NjZUbZDeBINz/S0izDMtYywlgMLKusXQVTSYnVh82N5Xl6kYmcHNUjkniDgQOBYcNUSvbZZ9cF9VWz88gjKgZ+/FF9fpxxBvDKK968kUQIIaRlQwPLQ2gDa/t2X72B5TYjQBtPkS5OtmxRj1lZ6k76hAnq+T//aWVRtGsXvsFqpMwevSrjIYcElwboMsLFi4FvvlHGzn/+k5gL6lgNrA8/VI9bt6oSom+/bfy1w/W/0lhlhH5s3ZqLujof8vODL9qysixDYuNGK3MiPT3+1YSaQrQeWF5dgTCU4cOViTV1qorndeuA999XmXPaCAgE1IWELmvTRCsh1AZWpBJCe8lXNEJfO9Qwtv9NuAyscKsQhpYQ6jE6m4GlHiOZF4DVyF2jjW0TxNMHS8cBYC4DC7DMs1hLCBtD3+TYsSO21TpDM7CA8CsRRjMxIzVyf/ddlY00cKD6m0GDVLzo140lA0u/J+Ltf5VsDj8ceO454LXXnHlPEnM8/XQtzj9/LZ55pjaieZqTo75ndeigbuj9+9/J+T5ACCGExAsNLA9hz8DSJYRuMwIaKw/RFwZduqiLSt2L5l//sjJRIl0ARMrACu1/penSRWU/AerC/u23gy+CmsOwYcrA+vJLX9RG7p9/rh7T05V5d/LJwHffRX/tcP2vNNZKhD788IO6gurXr+Edf3sjd21gxWpuNBe70Rg6Nzp7w21x6wR+v+qDtW6dWtr8739XPUHWrVPG1R13qL/TJqcmWgmh7oGVyAysQw8NfyETawmhyQwsvQqhLh8LZ17k51uNxQcNspq6m0AbWLH0wdIGVlaWM1kSsRpY+vjGWkLYGDqTqqYmvMkdSmgGFtBwJUIR6+ZIuIbRui+XNrAOHAB+8xvgzDPVOXrFCpWd9dVXqryztla9R6I1n7YvLAIEZ2C5lcsvB8aNMz0KkmiOPBL4+c/XNHpDc9Ag9T3rrbesmyGEEEKI26CB5SH0F/hdu4CKCnXF6bYMLG0Q7dvX8IIWsC44dB+T0aPVhVBpqUpnB8JfhALxG1gAcNttqnfUa69ZFzGJYNAgQSBQh+3bfUGr/dmpq7NWDPzPf9SF8/ffqxWCIv0fIHoGlv7d6tU+rF2rDr69fFBjb+SezAbugGVOVVc3zBTyeglhOFq1UuWyl12mVmU6/HBlSpx+utr+0UfBzaWTXUIY6YI71hLC7OzkN3HXMWaVEKrHSOcOXboXqbwmWcTTB8vJ/leAOoba+I4nA0vPeVMNrMxMK7ZiKSMMl4EVuhJhZWU6DhyIbCDpDKzly1V/wWHDVK8gQBlZH3ygMiTfe0/9mzlT/W00018fl717la7bM7AIAbzTwJ4QQoh3oYHlIfQFg4gPpaXqStVtmSy5udZFdrg+WPYMLEBlfvz0p+rnf/1LPTZmYIWWEEYzsMaNU3fXzzgjtvHHSlYW0L27GojOmApl7Vp1sZeTo8yKjz9W5sXGjcrEspe/aLZuVXdI/X6rd4+ddu2sZrxz5nQGEN7ACpeBlSwDKy/PagobmmGRKiWEsXD00Woe9uwBFi2yfh9LCWGogaXNhVgNLLspEo+BFa6EMFwGVk2NVR7mdAlhdbUfO3dGzsACgPvvVyUzehVSU8TTB0vHgVPvW7/fmsemZGA1x4SOtQ+WSPQMLH0O3bVLpSa2bm1lKdrRPbC+/16971asUOfSGTOAv/wFOO00dY4eM0b9GzvWugkQidAbKi0hA4sQQgghxO3QwPIQ6enWBcfWreqqxm2ZLPYG7OEuTkINLMAqI9RZKJEuQvUFdTwZWE7Su7dKRYhkYOnywWHD1LHr2BGYPVsZUBs2qHLC0FXodPbVkUdGvnDVZYRlZepKrbEMLG0sJMvAsjfcDzUbU6mEsDHS0lRGFqAyQDSxlBAePBjcPyjeDKzMTMtYaoqBFa6EcN8+q2RUZ19prURjNXH3YfduJZCRETkrqHVr4Nxz3ZF9EGsfrGiZeIni179W5k2khutAQ4OyuSWEgJVN1djqrMqgVD9HKyHcuVO9MSJ9dhQWWufEAweUQbV8efNubISuQlhSoh5pYBFCCCGENB0aWB5D98EqKVFXFW40AqL1wQpnYJ1wQvCX/qb2wNJzkywOPzw2A0v34QJUT5XZs4EePVRD9+OOUz2RNNH6X2l0I3dNtAwsEyWEQOSG+6lYQhgNXUZoN7BiycACgssz4zWw7K/fmIFlf7+FKyHUmiLWmOwGVriMmOZiz8DS2TcdO7pz9bdQYu2DlQwD6667VOxFa+aszxuJ6oEFNN4rUaMNrry84NgPLSHUMRCtZ9UFF6hYfewx1bw93MIF8RDaA0s3kaeBRQghhBDSdGhgeQzLwFJXjW40AvTFSbQSQn0HHVBZERdcYD1PZA8sJ9EZWEuWWFkCdsIZWIC6+Jozx+qJdfzxVj+caP2vNDoDCwAyMwU9ejT8G51tYKKEEGi4SpyGJYTBnHaaepw/34rrWHpgAcFlhE4aWPoYikRfhRCwsnS0geX3O9uAfPfuYAOrJRBrHyyne2DFSmgGls6iTEYJod4euviG/vzYskVl7sYSA3/+s4rla6+1Spybg5WBpYwrZmARQgghhDQfGlgeQxtYNTWqFsaNBla0EsLQJu4aXUYIJLYHlpMUFVWisFBw4IAqRwkd05o16ufQjClA7f+nn6ol23/8UWVlzJsHfPml2h4tA2vAAKtx9uGHhy+L0gZWWZm1uqOJDCz2wIpOjx7qGNbWqsy8mhrLmApnXKSlqXJUwMp2qquz/k88K03qY9RYxuP+/cqg3b/fKvO1lxCmpVllgtpIc7KBOxBskO7cqVy9lmJgxdoHy+keWLHiZAZWYyWEeru9fBBQMZuWpt4vJSXA7t2xmZiJNFPtN1Sqq331fdhoYBFCCCGENB0aWB4jtEzOjUZApPKQvXstAyPUwBo+XGUWdegA9OkT/nUj9cDasUM9JtvA8vuBY45RRpLOnNJ88YV67NMn8rjatlWmxXHHqQvxU05RF605OaoHViTS04Gjj5b/vb6E/ZvcXOui7+uv1aMbSggTkb3hNexlhNq0ACJn3uiSPG1a2UsJ48nAmjxZrQKqs8BCsWdZlZVZx9Lvb2iUhWbpOG1g6fipq/NhyxYV2C3FwAKsMsLZsyP/TTJKCGPBfmxFkltCGCkDKy3NKhf8/ntfvYkZrYQw0VirEAJ79qhAT09P/ucQIYQQQoiXoIHlMULvRLvRCIhUQqjLBwsKGvb38fnUxdzmzZGNFreVEAKWgRXaBytS+WAorVqp5dvHjrXKEIcObTxTYNw4pXvCCeENLMDKwlq5Uj2yhNCdaAPrww+t2M7MjNyXKHQlQp31ZN8WC5deqjQjHYtAwDIvysqCywdDe01p40yPRZtqThlYWVnWa3//vXISWpKBdfLJ6jFaHyy3GFj2DKx9+6zzVDJKCCNlYAHBKxGaKCO1fx7pDLAOHVpGHzZCCCGEELdCA8tjtOQMrHD9r+xkZlrlUeFwWwkhAAwbFt3AsverikRODvDf/1p9wMaObfz/XHddHR56aA6uvLIu4t/oRu7r16vHeMrLmgtLCGPnpJOUWbR+PbBihfpdNNNCm1RVVepKWWc9ZWYmfpU9eyZduAbummRnYAGWgfLDDy3PwBo4UL0HKiqApUvD/40be2Dp7Kv09OadT2ItIYyUgQXYDSyfEQPL3gNLG1gsHySEEEIIaR40sDxGqIHlxgysSD2wIvW/ipVwJYT2khaTGVhr1ljmTHW1VVLYWAaWJiMDmD5dZUvddFPjf5+WBvTqtSeqYaEzsHSGh+kSQhGWEIajoMAyOv/9b+t3kQgtIWxKA/dYsR/HcA3cNSYMLCvLT4m0JAMrlj5YbuyBZS8fbE6mUbyrEIbLwNKfI5s2Abt3Jz8G7KsQ0sAihBBCCEkMLdbAeuKJJ9C9e3dkZWVh+PDhWBjaZChFaUkZWJFKCJtqYIUrISwrsxpLmzCw2rYFevZUP+sG7MuXK1OhsDByP69w+Hyq91WiGg3rDCyNaQPrwAHg4EH1sxvj1iS6jPC//1WPsWRgaQNLPzppYJWXW+87ewN3TWgJYTINLE1LMrAAqw9WYwaWmzKwtAHdnP5XgGVI7dxpnb/DEUsG1pIlPtTV+eH3S/3Nk2RgZWBZBhoNLEIIIYSQ5tEiDaxXX30VN9xwA+68804sWbIERx11FMaMGYMfG7tdmwLYDaysLKnPxnAT+mJj587g/i5OGFi6fDA3F8bmQq8YqMsI7eWDiViuvanoDCyN6R5YOkPN7zefVeI2dCN1bRDEY2Dt26dSYZzOwHJrCaGmpRpYkfpgucXACpeB1dwMSv05JmKdw8MRSw+spUtV/Ldvn9hVBhvD/nmkSxg7dEiePiGEEEKIF2mRBtYjjzyCK6+8Epdeein69euHp556Cjk5OZg6darpoRnHbmC5NYulTRuVTRR6cZIoA6uiwrprv2uXr17TFMOHq0edJBhrA3encUMGlr0HljZnCgvZ6DiUo48Ofj9HKyHUBpZulO6GEsJIGVhOmsr2+crJkahz5kbsfbCWL2+43c09sJqbgRUIWOfsaPelomVg6c+RgwfVyaSoKPKCFk6gj0tdnQ8lJbn/G0NSh0AIIYQQ4jlanIF18OBBLF68GKNHj67/nd/vx+jRozF//nyDI3MHLcHACgSscdovThpr4t4Y9tIlfXG3Y4d6dIOBtWCBMu3cYmCZzMAKV0KozSz2v2pIWhpgO+VFNS20KRRqYDnRpN++cEK0EkLTGVgdO7Y8UzQtTZlYALB6dcPtbu+B1VwaW4mwrs46v0fLwNIkOwMvN9eKua1b1STRwCKEEEIIaR5JTKhPDDt27EBtbS3ahzSzaN++PdasWRP2/1RVVaFKXzEBKP/flVZ1dTWq9ZrfHiE3F0hLC6C21ofCwjpUV0dehc4p9JxGm9u2bQPYvt2HLVtq0KePQATYvDkAwIcOHarRlMPi9wMZGQEcPOjDrl2q5ubHH2sBBNC6dR2qq6M0U0kw9jno3x9ITw/gxx99mDu3Bps3B+D3CwYPrmnSfsarH4nsbOCQQwLYvVtdZWVl1aC6OjFZCo3p5+b6AARQViaorlbHascO9btWrRJzrGKZAydJtP6pp/rw+uvqlJ2bG3mOMjPTAPixd28d2rYFKirUeyA7O/Hvgfx8P4A07N5dCxEASENeXi2qq+uC9j87W/1debnapsoaA8jIcO59qccGAB06uPdcGI1evdIwd64fq1fXNhh/RYU6X2ZnR37fJuM9kJEBAOmorBTs2FEHIA2tWjWMgXhp2zYNa9b4sW1b+P3btQuoqVHL0hYWNvzMyM0F8vIC2LtXnd86dKhN6mcAAOTnB1Be7sPOnSotsm3bxJ1jY8Vr58GWOAbqMwaozxigPmPAtL6baO4ctDgDqyncd999uOuuuxr8/oMPPkCOE3U1hsnLG4OysixUV2/HjBkLjI3jww8/jLgtLW0kgLb44INlqKragvLydOzfPw4AsHLle1i3rmkXm1lZY3HwYCbee28+unUD5s9fB2AAqqq2YsaMxU16zeag56BbtxPwzTeH4JZbfgTQEd27l2Hu3DlJ04/EIYeciN27CwEAS5d+irKy8qh/nyj9H37IA3Aqtm+vxowZMwEAc+Z0BjAUNTU7MWPG546PIVkkSt/vzwagurnv2LEBM2Z8Hfbvdu0aAqALli9fhx49gMWLVwMYhIqKUsyYkdjFLkpKegPoixUr/pc+ie7Ytm0dZsxYV/83H374IUpLjwTQCytXbsCMGauweHE3AIOwe3fix6QpLT0MQH8AgM+3zcj7X9PUGKit7QXgSMyd23D8O3eOBZCJpUvnYufOCkf0Y6GkJAfAaSgrq8VXX/0AoDt27GgYA/FSW3s0gE745JNVyMv7rsH2LVvUOSQnpxqzZs0I+xqFhadg716VrlhZ+U3QmJJBevrpALLrn69aNQulpQeSOgaNV86DLXkM1GcMUJ8xQH3GgGl9N7BPl4c0kRZnYB166KFIS0tDacgSdqWlpegQoUPqLbfcghtuuKH+eXl5Obp06YLTTz8dBS2tMUoMdOyYhrIyoFevQzFu3Lik61dXV+PDDz/EaaedhvT09LB/88oraVixAujUaTDGjTsKy5ap37dtK5gwYWyTtdu2DaC8HOjffyQqKt5H27Zqmb/+/YuSOhehc/D++3588w2wYIGqIRkzJt/R8cRyDABg6tQ0bNigfh479jj06pUc/W3bgMmTgf3703HGGePg8wGbNqmK5l692iRkbmKdA6dwQv+hhwTr1/swcGAPjBvXLezfvPVWGubMAbp27Q3gW3Tr1g8A0L17+4TH3IYNfvzzn0CrVl3ry6WOOaY3xo3rFbT/CxZk4q23gA4demLcuO749lt1rLt2TfyYNCUlPrzwgvp50CDndKLR3BioqfHhxReBysqOGDcuOOv44EH18T1u3PERy66T8R7QH8VVVQHk5qqBDB/eMAbi1Z8504/PPwfatj0S48b1bbB93jwVcB07BiIe23790vDDD+rn44/viXHjEnSCi5G2bQP1fR59PsHPfnZKUhvJA948D7a0MVCfMUB9xgD1GQOm9d1EeXnzEiZanIGVkZGBoUOHYtasWZgwYQIAoK6uDrNmzcLkyZPD/p/MzExkhmm2kp6e7skAOvRQlb3UurUP6enmDnG0+dVe444daUhPT0NJiXretauvWcdE+5H79qn93rNHXSi3a6d0ko2eg2OPBaZMUQ19AeC445IznsZivGdP6+dDDklHot8OkfR1D7S6Oh+qqtKRn2/19Gnd2o/09MS15zP9Pk+k/sSJwD33AAMGRI4f3W+qqiot6DEvL7HzCli9jvbutV73kEOCx5aeno78fPX8wAG1Ta+ql52d+DFp7H3vOnf2G3n/a5oaA33/59usX+9HIOCvNwmrq60+YrG8b518D9h7LW7bpo7loYc2jIF49fVnxK5d4WNdL/rQtm3kzwx7n78uXdKS/nlo7wfXti2Qne2N81BL1HfDGKjPGKA+Y4D6jAHT+m6gufvf4pq4A8ANN9yAZ599Fi+++CJWr16Nq6++GpWVlbj00ktND80V6As3tzZxB6xVo3SD3uauQKixL10OADt3ml+FELAauWtMN3DX2C/wnGjyHYnsbNRfdOtG7vZVCEl47rwT+OYb4IILIv+NG1chNN3EPdkr0CWKww5TjcArKqxMJ8AyewHzqxDa42rzZvWYiCbuoZ8RoURbgVBj/zwxEQP2YxMhQZwQQgghhMRBizSwJk6ciIceegh33HEHBg0ahGXLluG9995r0Ng9VRk0SH1RHzDAvRdtoRcn+sIn0QaWXhXLtIF1+OGWMVNU1HAFQFN07279nMx2cD6fZX7o1Qe5CmHjBALK1IhGqIG1f796TJaBFW4VQq2dTAPLboQmewW6RJGZab1H19naN2kDKzPTMoJN4fdbx3fbNvWYjFUIt28P/rtw2EsrTcSA3cxtqSYqIYQQQoibaJEGFgBMnjwZmzZtQlVVFRYsWIDhoSkuKczNN9fh6ac/xE9/6t4vzNpr1FkFicrA0hfP5eUq80qtbGfewPL7gWHD1M8jR1rLq5tGXxzn5ABpSa6wspsfgGVgMQOreWRlqcf9+1WQ6QwsJzLs9AV6WZl1HKNlYOmxMAMrdnr3Vo/r11u/27tXPZrOvtLk5alH+d80uyUDSxtYgUCtkc8AZmARQgghhCSWFmtgkcj4/UD79s3r7u80kUoIIzUjjhW3ZmABwEUXqcef/9zsOOwMGKD6Kt14Y/K1Qw0slhAmBp2BpTOv9u1TRpbJDKxIJYTabHOCNm1U42y/X1psBhZgGVjhMrC0cWSaUHM0EVmU+jNCZ1qFEksG1lFHAYWFgn79dhm5aRBsYLVcE5UQQgghxC20uCbuxBvYDSwRJ3tgqUc3GFjFxcDPfgZkZJgeiUVaGjB9uhltbVSxhDCxmOiBtXevlVUYLgNLayczA6tVK+Cxx+qwbt1y5Ob2d07IYaIZWG7LwNIkwoTWnxF79gAHDzY8b8aSgdW6NbBhQw1mz54P4IzmDypOgksIky5PCCGEEOI5mIFFjKAvOvbvV2aTXuo8cQaWD1VV/voyKjcYWD6fu8wr07CE0Bl0VlMyDSzAKh9zSxN3ALj66jqcdtpmZ0Uc5vDD1aObDSx7BlarVqpXW3M55BCrrDlcFpY2sKJlYAHKXEtLM5P9xAwsQgghhJDEQgOLGCEvz7qgXrECqKlRpY/NvUtt9cACKiqUWxQIhL+oJmZhCaEzNCwhVI9OGFgZGcFlgIGApW/HRBN3r6AzsL75BqitVT+7tQcWkLgMSr8fOPRQ9XM4A0v/LloGlmmYgUUIIYQQklhoYBFj6AuPRYvUY8eOzb9zry8YKiosA0v1wmne65LEo42qsjKgrs4yslhC2DySaWABwVlYBQXh32smmrh7ha5dlVF48KBVau3mHliJaOCuidTIva4O2LEj+G/cCDOwCCGEEEISCw0sYgx94bF4sXpsbgN3IHhVNLuBRdyHNj727FEZJXV16jkzsJqH1QNLr0LoXBN3oKGBFQ57CaGIVd5IA6tx0tKAXr3Uz7qM0G0lhHYjLZEGli4PDDWwdu2yzhc6S8uNMAOLEEIIISSx0MAixmjfXj3qDKzm9r8C7CWEPhpYLsdeQqj7X2VmOrsyXSoQ2gNLZ2KFrhSXKOwGVrgVCAHLPKurU5lEzMCKj9BG7m4zsOyxlcgMykgrEWpD65BDgPT0xOklGn18cnMP8rxGCCGEEJIAaGARY+iLk7Vr1WMiDCx7CWF5OQ0sN2M3sHT/K5YPNp9klxDas0wiZWDZtSsraWDFS2gjdzf3wEpGCaE2tBpr4G6aI44A0tMFvXrtMT0UQgghhBBPkIC1gghpGvriRK9elkgDiyWE7keXCu7ZwxUIE4lVQqgek90DKxzp6epfdbUaDw2s+IiUgeX1HljaoCopCf69NrTc3P8KADp1Ar75pgYLFiwAMNb0cAghhBBCWjzMwCLGCL34SGQPrMpKH8rK1NUxDSx3Eq6EkAZW89GlSvv3K3M4mQZWpBJCILgPljawWFYVG9rAWr9ePbq5hDCRBlbfvurxP/8BSkut37eUDCxA9b7KyKgzPQxCCCGEEE9AA4sYQ/fA0iQyAwsAfvxRpaLQwHIn4UoIaWA1H3sJYXW1H3V15pu42/VZQhg/2sDauFHNndsMLHsmWCLLgCdMAIYOVeeIm26yft9SMrAIIYQQQkhioYFFjBF68ZEIAysz07ooLi1VaQFuXqUqlQmXgcUeWM1HG1giPuzda3W4Nm1g6SwdlhDGT/v2yqyqqwM2bHBfDyynMrDS0oAnnwR8PmDaNODTT9XvW1IGFiGEEEIISRw0sIgx7AZWZmbiLkb0RfSPP6ordmZguROdbVVRAezcGfw70nS0gQUAe/eqPnCBgHOrtTWnhJAGVmz4fMGN3N3WA8upJu4AMGwYcOWV6udf/QqoqWEGFiGEEEJIqkIDixjDfvHRubO6SEsE2sA6cECtUUADy53YzY7Nm9UjDazmk55uvZf0QgZOZV8B8ZcQMgOradgbubuthNCegeVEFuWf/qSMsRUrgL/9jRlYhBBCCCGpCg0sYoxDD7UutBPRwF0TmgVCA8udZGRYTbw3blSPLCFsPj6flYWlDSy7wZBo7KZVLCWElZXWCok0sGLH3sjdbQaWkxlYgDqH33+/+vmOO6zVGJmBRQghhBCSWtDAIsZIS7P6UyWi/5Um9CKaBpZ70RlX2sBiBlZisAwsVTeYrAysaCWEbOLePOwZWKnSA8vO5ZercsKKCmDbNvU7ZmARQgghhKQWNLCIUfQddCcNLKcuqEjz0YbHli3qkQZWYtCZbW4qIdQmR3m5akYO0MCKB21grVplZbC5pQeWPu6ZmcE92BKJ3281dNcwA4sQQgghJLWggUWMUlSkHp0qIWzVShAIJO61SWLRx6q2Vj2yhDAxhJYQuiEDSxtYu3dbv6OBFTu6ibvu/wS4JwPrsMOAK64A7r47cb0MwzF0KHD11dZzZtcSQgghhKQWvLQnRrnpJlUGct55iXtNexaILlEk7iTU8GAGVmLQBlZ5uXsysPQYdu2yfqczxUjjFBaqc6U2sDIy1D834PMBzz6bHK177gHmz1cZabw5QQghhBCSWvDrHzHKaaepf4nEfhHdurUAcDAlgDSLUMOKBlZi0AbW3r3uzcDy+2lAxEvv3paB5Zbsq2RzyCHAkiWmR0EIIYQQQkzAywfiOewGFktM3E2o4cESwsRg9cByvol7djbw29+q5uzRmmqHZmCxfDB+evcGPvtM/ZyqBhYhhBBCCEldaGARz2E3RdjA3d2EGljRMnhI7IT2wLKvEucEDz3U+N/oMdDAajq6kTvgngbuhBBCCCGEJAs2cSeeIzgDS8wNhDSKvWQwL48lZYkimSWEscIMrOZjN7CYgUUIIYQQQlINGljEcwT3wDI3DtI49owrlg8mDquE0D0GFjOwmo9eiRCggUUIIYQQQlIPGljEc9hNEfbAcjf2Y8UG7olDZ2DV1KhTvJsMrPJy9UgDK3569bJ+poFFCCGEEEJSDRpYxHOwhLDlQAPLGbSBpXGDgRU6BhpY8ZOdDXTtqn5mDyxCCCGEEJJq0MAinoOrELYc7KYVSwgThxsNrNBG8jSwmobug8UMLEIIIYQQkmrQwCKeI7gHFjOw3AwzsJxB98DSuMHAYgZWYujXTz0eeqjZcRBCCCGEEJJsuOYX8RzsgdVyoIHlDC0hAyvUZCOxcdNNKlvxl780PRJCCCGEEEKSCw0s4jnS04FJk2qxcuU2dO7c3vRwSBTsphUNrMQRamCFmkcmYAlhYujUCfjDH0yPghBCCCGEkORDA4t4kscfr8OMGYvh840zPRQSBXu5J3tgJQ6WEBJCCCGEEEK8BntgEUKMkZZmrabGDKzE0RJKCGlgEUIIIYQQQuKBBhYhxCi6DxYNrMThRgMrPV0ZlhoaWIQQQgghhJB4oIFFCDFK167qsVs3s+PwEm40sHy+4CwsGliEEEIIIYSQeGAPLEKIUV58Efj6a2DwYNMj8Q5u7IEFqHGUl6ufaWARQgghhBBC4oEGFiHEKIcfrv6RxOHGDCyAGViEEEIIIYSQpsMSQkII8RihBlZoA3VT0MAihBBCCCGENBUaWIQQ4jHsJYR+vyAjw9xY7NgzwULLHAkhhBBCCCEkGjSwCCHEY9gzsHJyVAN1N8AMLEIIIYQQQkhToYFFCCEeI9TAcgv2sdDAIoQQQgghhMQDDSxCCPEY9vI8NxlYzMAihBBCCCGENBUaWIQQ4jHsGVihDd1NQgOLEEIIIYQQ0lRoYBFCiMcIzsAScwMJgSWEhBBCCCGEkKZCA4sQQjyG3w9kZirjyp71ZBpmYBFCCCGEEEKaCg0sQgjxIDoLy009sJiBRQghhBBCCGkqNLAIIcSD6N5X7IFFCCGEEEII8QI0sAghxINo48qtGVj2Pl2EEEIIIYQQ0hg0sAghxIPoDCc3NXFnBhYhhBBCCCGkqdDAIoQQD+LGDCwaWIQQQgghhJCmQgOLEEI8SHa2/O/R8EBssIk7IYQQQgghpKnQwCKEEA/CDCxCCCGEEEKIl6CBRQghHkQbRHbTyDTMwCKEEEIIIYQ0FRpYhBDiQQYNUiWEAwawiTshhBBCCCGk5RMwPQBCCCGJ584769Cnzwc46aTRpodSDw0sQgghhBBCSFOhgUUIIR7E5wMKCg6aHkYQrVoBfj+Qng5kZZkeDSGEEEIIIaQlQQOLEEJIUigoAJ5/XjWYD/DThxBCCCGEEBIHvIQghBCSNIqLTY+AEEIIIYQQ0hJhE3dCCCGEEEIIIYQQ4mpoYBFCCCGEEEIIIYQQV0MDixBCCCGEEEIIIYS4GhpYhBBCCCGEEEIIIcTV0MAihBBCCCGEEEIIIa6GBhYhhBBCCCGEEEIIcTU0sAghhBBCCCGEEEKIq6GBRQghhBBCCCGEEEJcDQ0sQgghhBBCCCGEEOJqaGARQgghhBBCCCGEEFdDA4sQQgghhBBCCCGEuBoaWIQQQgghhBBCCCHE1dDAIoQQQgghhBBCCCGuhgYWIYQQQgghhBBCCHE1NLAIIYQQQgghhBBCiKuhgUUIIYQQQgghhBBCXE3A9ABMICIAgPLycsMjcYbq6mrs27cP5eXlSE9PTzl9N4yB+owB6jMGqM8YoD5jgPqMAeozBqjPGDCt7ya0B6M9mXhJSQOroqICANClSxfDIyGEEEIIIYQQQghJHSoqKtCqVau4/59Pmmp9tWDq6uqwdetW5Ofnw+fzmR5OwikvL0eXLl3w/fffo6CgIOX03TAG6jMGqM8YoD5jgPqMAeozBqjPGKA+Y8C0vpsQEVRUVKBjx47w++PvaJWSGVh+vx+dO3c2PQzHKSgoMPoGMa3vhjFQnzFAfcYA9RkD1GcMUJ8xQH3GAPUZA6b13UJTMq80bOJOCCGEEEIIIYQQQlwNDSxCCCGEEEIIIYQQ4mpoYHmQzMxM3HnnncjMzExJfTeMgfqMAeozBqjPGKA+Y4D6jAHqMwaozxgwre8lUrKJOyGEEEIIIYQQQghpOTADixBCCCGEEEIIIYS4GhpYhBBCCCGEEEIIIcTV0MAihBBCCCGEEEIIIa6GBhYhhBBCCCGEEEIIcTU0sAghhBBCCCGEEEKIq6GBRQghhBBCCCGEEEJcDQ0sj7N69Wr07NnTmP63336LU045xZg+wDlI9f0HgK+++gppaWnG9E0fA9P6boiBVJ+DVN9/gHOQ6udBN4yBMWA+BlJ9DkzH4Pfff4/LLrvMmD7AY2Ba3w0xwDlo2dDA8jgHDx7Epk2bjOnv3bsXc+bMMaYPcA5Sff81ImJM2/QxMK3vhhhI9TlI9f0HOAdAap8H3TAGxoD5GABSew5Mx+CuXbvw4osvGtMHeAxM67shBjgHLZuA6QGQ5nHDDTdE3b59+3ZH9R9//PGo27ds2eKoPsA5SPX9B4Bzzz036vaysjL4fD7H9E0fA9P6boiBVJ+DVN9/gHOQ6udBN4yBMWA+BlJ9DkzH4FtvvRV1+4YNGxzVB3gMTOu7IQY4B97GJyZvQ5Bmk5aWhkGDBqGgoCDs9r1792LJkiWora11RN/v96OoqAgZGRlhtx88eBAlJSWO6QOcg1TffwBIT0/Haaedhvbt24fdvmvXLrzzzjuePQam9d0QA6k+B6m+/wDnINXPg24YA2PAfAyk+hyYjkG/3w+fzxc1y83n8/E84PAxMK1vOgY4Bx5HSIumd+/e8o9//CPi9qVLl4rf73dMv3v37vLqq68a0xfhHKT6/ouIDBgwQJ577jljYzB9DEzruyEGUn0OUn3/RTgHqX4edMMYGAPmYyDV58B0DHbs2FHefPNNY/oiPAam9d0QA5wDb8MeWC2co48+GosXL464vTH3t7kMHTrUqD7AOUj1/ddjWLJkScTtmZmZ6Nq1q2P6po+BaX03xECqz0Gq7z/AOUj186AbxsAYMB8DqT4HbohB0zHAY5Da+m4Yg2l9r8MSwhZOSUkJqqqq0K1bNyP6q1atwr59+3D00UeH3V5dXY2tW7c6Or5Un4NU338AqKqqQm1tLXJychzTiIbpY2Ba3w0xkOpzkOr7D3AOUv086IYxMAbMx0Cqz4HpGPz0009RWVmJsWPHht1eWVmJRYsW4cQTT3REH+AxMK3vhhjgHHgbGliEEEIIIYQQQgghxNWwhNCjlJaWYvPmzcb0RcR4Y7pUn4NU3P9QvQULFmDu3Lmorq5O6jg0po+BaX3T7wGAc5Dq+w+k3hzwPOi+MTAGkj//nINg3HAuNk2qHwPT+m6Ac+ARnGmtRZJFeXm5/PznP5euXbtKcXGxVFVVyTXXXCM+n0/8fr+ccMIJUlZW5ph+dXW13HbbbXLCCSfIHXfcISIif/7znyUnJ0cyMjLqx+QkqT4Hqb7/IiJbt26VUaNGSVpampxwwgmya9cuGT9+vPh8PvH5fNK7d2/ZunWrY/qmj4FpfTfEQKrPQarvvwjnINXPg24YA2PAfAyk+hyYjkERkWeffVaKi4tl6tSpIiIyffp06dOnj/To0aN+TE6S6sfAtL6I+RjgHHgbGlgtnMmTJ0ufPn3k8ccfl5NOOknOPvts6d+/v8ybN0/mzJkj/fr1k1tvvdUx/dtvv13at28vN9xwg/Tr108mTZokXbp0kZdeeklefPFF6dSpkzzwwAOO6YtwDlJ9/0VEfvGLX8jIkSPlrbfekokTJ8rIkSPl+OOPlx9++EE2bdoko0aNkl/96leO6Zs+Bqb13RADqT4Hqb7/IpyDVD8PumEMjAHzMZDqc2A6Bh999FHJzc2Vc889V4qKiuSee+6RNm3ayD333CN33XWXFBQUyNNPP+2YvgiPgWl9N8QA58Db0MBq4XTp0kU+/vhjERHZsmWL+Hw+efvtt+u3v/POO3LEEUc4pt+zZ896vfXr14vf75fp06fXb3/11Velf//+jumLcA5Sff9FRIqKimT+/PkiIrJz507x+Xzy0Ucf1W+fNWuW9OzZ0zF908fAtL4bYiDV5yDV91+Ec5Dq50E3jIExYD4GUn0OTMdgnz595OWXXxYRkSVLlkggEJDnnnuufvtzzz0nQ4cOdUxfhMfAtL4bYoBz4G1oYLVwMjMzZfPmzfXPc3JyZO3atfXPN27cKDk5OY7pZ2VlBelnZWXJ6tWr659v2LBB8vPzHdMX4Ryk+v6HG0Nubq6sX7++/vmmTZskOzvbMX3Tx8C0vhtiINXnINX3X4RzkOrnQTeMgTFgPgZSfQ5Mx2B2drZs2rSp/nlmZqasXLmy/vn69eulsLDQMX2tmcrHwLS+G2KAc+Bt2MS9hdOmTRts3769/vnZZ5+NwsLC+ud79+5FZmamY/qtWrXCnj176p8PGTIE+fn59c+rqqrg8/kc0wc4B6m+/wDQrl07bNu2rf755MmT0bp16/rnu3fvRm5urmP6po+BaX03xECqz0Gq7z/AOUj186AbxsAYMB8DqT4HpmMwJycHlZWV9c/btm2LvLy8oL+pqalxTB/gMTCt74YY4Bx4GxpYLZyBAwfiyy+/rH/+yiuvoF27dvXPv/zyS/Tt29cx/X79+mHJkiX1zz/77DN06tSp/vmKFStw+OGHO6YPcA5Sff8BYNCgQZg/f3798/vvvz/oC+u8efMwcOBAx/RNHwPT+m6IgVSfg1Tff4BzkOrnQTeMgTFgPgZSfQ5Mx2CfPn2wfPny+ufff/89unXrVv98zZo16N69u2P6AI+BaX03xADnwNv4RERMD4I0nV27dsHv9wfdWbAzc+ZMZGdn46STTnJEf926dUhPT0ePHj3Cbn/llVcQCARwwQUXOKIPcA5Sff9jYeHChcjJyUH//v0deX3Tx8C0vhtiINXnINX3H+AcNIbXz4NuGANjwHwMNIbX58B0DH722WfIzc3FoEGDwm5/8sknUVdXh8mTJzuiD/AYmNZ3QwxwDrwNDSxCCCGEEEIIIYQQ4mpYQuhBBgwYgO+//96Y/vjx44P6D5gg1ecg1fcfAAoKCrBhwwZj+qaPgWl9N8RAqs9Bqu8/wDlI9fOgG8bAGDAfA6k+B6Zj8JprrsGOHTuM6QM8Bqb13RADnAPvQAPLg2zcuBHV1dXG9OfOnYv9+/cb0wc4B6m+/wBgOrnU9DEwre+GGEj1OUj1/Qc4B6l+HnTDGBgD5mMg1efAdAy+9NJLKC8vN6YP8BiY1ndDDHAOvAMNLEIIIYQQQgghCce0gUjMwxjgHCQSGlge5Pjjj0d2drYx/W7duiE9Pd2YPsA5SPX9B4CLL74YBQUFxvRNHwPT+m6IgVSfg1Tff4BzkOrnQTeMgTFgPgZSfQ5Mx6AbSPVjYFrfDXAOvAObuBNCCCGEEEIIIYQQV8MMLI+ze/duTJs2zbHX//e//419+/Y59vqJINXnINX3HwBKS0tx9913O/b6Dz/8MDZt2uTY6zcXxgDnINX3H+AcpPp5EGAMMAY4B5WVlZg7d65jr7948WLHXjtRpPp5gDHAOWjxCPE0y5YtE7/f79jr+3w+KSgokCuvvFK++OILx3SaQ6rPQarvv0hy5iAtLU1Gjx4t06dPl6qqKse0mgJjgHOQ6vsvwjlI9fOgCGOAMcA5SMb+H3bYYXLvvffKli1bHNNpDjwPMAY4By0bZmC1cMrLy6P+q6iocHwMN954IxYtWoQRI0agf//+eOyxx7Bz507HdTWpPgepvv8AsHz58qj/1q5d6/gYnnvuOeTm5uIXv/gFOnbsiOuuuw4rV650XBdgDACcg1Tff4BzkOrnQYAxwBjgHLiBU045BX/5y1/QrVs3nHnmmXjzzTdRW1ubNP1UPw+4AdMx4AY4Bw5i2kEjzcPn84nf74/4T293Ur+0tFRERBYtWiRXX321FBYWSmZmppx//vnywQcfOKZtH0Mqz0Gq778eg97X0H/JnoPS0lJ54IEHpE+fPuL3++WYY46RZ555RsrLyx3VZwyk9hyk+v7rMaTyHKT6eVCPgTHAGEjlOTjkkEOi/isoKEjK/ldXV8vrr78u48aNk7S0NGnfvr3cdNNNsnbtWse07WNI5fMAY4Bz4HXYxL2F06pVK9x2220YPnx42O3r16/HL3/5S8ccX7/fj5KSErRr167+dwcOHMBrr72GqVOnYu7cuejatSu+++47R/QBzkGq7z8AHHroofjzn/+MU089Nez2r7/+GmeddVZS5wAAPv30U/z973/H66+/DgDYu3evI/qMAc5Bqu8/wDlI9fMgwBhgDHAOcnNzcfXVV2PAgAFht2/atAl33XVXUvd/y5YtmDp1Kl544QVs3LgRo0aNcrT/UKqfBxgDnAPPY9pBI83jpJNOkgceeCDi9mXLlonP53NM3+/3199lCMf69evl1ltvdUxfhHOQ6vsvInL66afLH//4x4jbTc9BWVmZPPPMM47pMwY4B6m+/yKcg1Q/D4owBhgDnIORI0fKY489FnG7071/Gtv/jz76SC666CLH9EV4HmAMcA68TsC0gUaax0UXXYT9+/dH3N6hQwfceeedjulLIwl8vXr1wr333uuYPsA5SPX9B4BJkyahsrIy4vauXbvi+eefd0y/sTkoKCjAlVde6Zg+Y4BzkOr7D3AOUv08CDAGGAOcg/Hjx2PPnj0Rt7du3RrFxcWO6Te2/6eeemrE7LhEkernAcYA58DrsISQNItNmzaha9eu8Pl8podijFSfg1Tff8IYADgHqb7/AOeAMAYImTNnDkaNGoVAIHVzJFL9PMAY4Bw4DQ0sQgghhBBCCCGEEOJqaAt6gB07dmDq1KmYP38+SkpKAKj02JEjR+KSSy5B27ZtPa3vhjFQ33wMrFq1Cn/7298ajGHEiBGYPHky+vXr52l908fAtL4bxkB9xoBpfdPnIdP6gPljYFrf9DEwre+GMZjWP3jwIN58882wMXj22WcjIyPD0/qA+fehaX3Tx8C0vhvGYFrfyzADq4Xz5ZdfYsyYMcjJycHo0aPRvn17AEBpaSlmzZqFffv24f3338fRRx/tSX03jIH65mNg5syZmDBhAoYMGYIxY8YEjeHDDz/E4sWL8d///hdjxozxpL7pY2Ba3w1joD5jwLS+6fOQaX3A/DEwrW/6GJjWd8MYTOt/8803GDNmDLZu3Yrhw4cH6S9YsACdO3fGzJkz0atXL0/qA+bfh6b1TR8D0/puGINpfc+TzI7xJPEMHz5crrrqKqmrq2uwra6uTq666io59thjPavvhjFQ33wMDBw4UH7/+99H3H7nnXfKgAEDPKtv+hiY1nfDGKjPGDCtb/o8ZFpfxPwxMK1v+hiY1nfDGEzrjx49Ws4++2wpKytrsK2srEzOPvtsOf300z2rL2L+fWha3/QxMK3vhjGY1vc6NLBaOFlZWbJ69eqI21evXi1ZWVme1XfDGKjvjhhYs2ZNxO1r1qxxfA5M6zMGUnsOUl3fDWNwg77p85BJfT0G08fAtD5jILXnIDs7W1asWBFx+/LlyyU7O9uz+iLueB+a1Dd9DEzru2EMpvW9jt90BhhpHh06dMDChQsjbl+4cGF92qIX9d0wBuqbj4Hu3bvj3Xffjbj93XffRbdu3Tyrb/oYmNZ3wxiozxgwrW/6PGRaHzB/DEzrmz4GpvXdMAbT+oWFhdi4cWPE7Rs3bkRhYaFn9QHz70PT+qaPgWl9N4zBtL7XYRP3Fs6NN96Iq666CosXL8app57aoM762WefxUMPPeRZfTeMgfrmY+Duu+/GRRddhE8++SRsv4H33nsPr7zyimf1TR8D0/puGAP1GQOm9U2fh0zrA+aPgWl908fAtL4bxmBa/4orrkBxcTF+//vfh43Be+65B7/+9a89qw+Yfx+a1jd9DEzru2EMpvU9j+kUMNJ8pk+fLsOHD5dAICA+n098Pp8EAgEZPny4vPrqq57Xd8MYqG8+Bj777DOZOHGidO3aVTIyMiQjI0O6du0qEydOlM8//9zz+qaPgWl9N4yB+owB0/qmz0Om9UXMHwPT+qaPgWl9N4zBtP79998vRUVF4vP5xO/3i9/vF5/PJ0VFRfLAAw94Xl/E/PvQtL7pY2Ba3w1jMK3vZbgKoYeorq7Gjh07AACHHnoo0tPTU0rfDWOgvvkYSHVMHwPT+m4YA/UZA6b1ifljYFqfkO+++w4lJSUAVFlbjx49UkofMP8+NK1v+hiY1nfDGEzrexH2wPIQ6enpKCoqwieffIKDBw+mnL4bxkB98zGguf/++7Fnz56U0zd9DEzru2EM1GcMmNbXpOp5EDB/DEzra1I5BtwyBlP6PXr0wIgRI1BXV4eOHTumnD5g/n1oWt/0MTCt74YxmNb3JKZTwEjiyc/Pl2+//TZl9d0wBuozBqjPGKA+Y4D6jAHqMwaozxigPmPAtL6XYAaWBxHDVaGm9d0wBuozBqjPGKA+Y4D6jAHqMwaozxigPmPAtL6XoIFFCCGEEEIIIYQQQlxNwPQASOKZOXMmOnXqlLL6egwm64zdoJ/qMbBq1Sqjx8C0vuljYFpfj8H0MTCtzxgwfwxMn4dMHgPT+oD5ODStb/oYmNbXYzD9PjSp//TTT6N9+/Ypqw+Yfx+a1jd9DEzru2EMpvW9BFch9CilpaUQEXTo0CGl9Gtra7Fjxw74/X60bds2qdpu0C8rKwta6aJVq1YppU9IKCKCuro6pKWlpaT+Cy+8gHPOOcfYe9G0fqqzfv16bN68Gd26dUOvXr1STj9Vqa2tDTrnLFy4EHV1dRg8eDAyMzM9r6/ZvHkztm3bBr/fj549e6JNmzZJ03aDPgBUVVUBQFLn3U36hBAP4mSDLeI8O3fulPPOO0+6dOkikyZNkpqaGrn88svF5/OJ3++XESNGyNatWz2rr3nnnXfk+OOPl8zMTPH7/eL3+6VVq1Zy8cUXy6ZNmzyv/+yzz0rfvn3rtfW/vn37ynPPPed5/cZYtmyZ+P1+T+u/++67cvnll8vvfvc7Wb16ddC2Xbt2ycknn+xp/erqarntttvkhBNOkDvuuENERP785z9LTk6OZGRkSHFxsVRVVXlWPxLp6emyatWqpOua0F+wYIHU1NTUP3/77bflhBNOkI4dO8rQoUPlxRdf9LT+n/70J/noo49ERL3nTj31VPH5fPWfx2PHjpXdu3d7Vl9EJC8vTy677DL57LPPHNVxq/7GjRtl6NChkpaWJmPHjpWysjIZPXp0/XHo2bOnrF271rP6mieeeEK6du3a4DvJqFGjZNGiRZ7X/+CDD+SMM86QwsLCeu3CwkI544wz5MMPP/S8fmOsWrVKevTo4Wn9ZcuWyR//+Ed54oknZPv27UHbysrK5NJLL/W0voi6NikuLpapU6eKiMj06dOlT58+0qNHj/rvaV7W9zI0sFo4l112mfTv31/++te/yoknnihnn322DBw4UObNmyeff/65HHPMMVJcXOxZfRGRadOmSX5+vvz2t7+V2267TTp06CA333yzTJkyRU488UQ59NBDZd26dZ7V1xfJN998s8yePVtWrVolq1atktmzZ8stt9wiubm58uCDD3pWPxaWLVsmPp/Ps/ovv/yypKWlyfjx4+W4446TrKwseemll+q3l5SUOGqgmdYXEbn99tulffv2csMNN0i/fv1k0qRJ0rlzZ3nppZfkxRdflE6dOskDDzzgWf1DDjkk7D+fzyetWrWqf+5VfRERv98vpaWlIiLy1ltvid/vl+LiYnniiSfkiiuukEAgIG+88YZn9Tt37ixLliwREZErrrhCBg8eLEuWLJH9+/fLsmXL5Nhjj5XLL7/cs/oiIj6fT4488kjx+XzSp08feeihh+THH390VNNN+uedd56ceOKJ8vbbb8sFF1wgo0aNkpNOOkl++OEH2bp1q4wZM0YmTJjgWX0RkQcffFA6duwof/3rX+tvrt19990yc+ZM+cUvfiE5OTny5Zdfelb/hRdekEAgIBdeeKE8//zzMmPGDJkxY4Y8//zz8rOf/UzS09Nl2rRpntWPBa/f1Hz//fclIyNDjjzySOnatau0adNGPv744/rtTn8nM60vIvLoo49Kbm6unHvuuVJUVCT33HOPtGnTRu655x656667pKCgQJ5++mnP6nsdGlgtnKKiovo7fSUlJeLz+eSDDz6op/y2ZgAAFC5JREFU3z5v3jzp1KmTZ/VFRPr06SPTp0+vf/7ll19K586dpa6uTkREJk6cKOecc45n9bt27SqvvvpqxO3Tp0+XLl26eFZfROScc86J+u+UU05x9MPStP6gQYPkL3/5S/3zV199VXJzc+uz35z+smBaX0SkZ8+e8vbbb4uIyPr168Xv9we9L1999VXp37+/Z/Xz8vJk/Pjx8sILL9T/e/755yUtLU3uvffe+t95VV9EmQfaQDruuOPk5ptvDtp+7733yrHHHutZ/czMTNm4caOIiHTv3l3mzJkTtH3RokVSVFTkWX0R6xgsW7ZMJk+eLK1bt5aMjAw599xzZcaMGfWfy17Vb9u2rSxdulRERPbs2SM+n08+/fTT+u2LFy+W9u3be1ZfRMXejBkz6p+vXbtW2rRpI9XV1SIi8pvf/EZOO+00z+offvjh8re//S3i9ieeeEJ69erlWX0Rkeuvvz7qv4svvtjR7ySm9UeMGCG33nqriIjU1dXJAw88IHl5eTJz5kwRcf47mWl9EXVt9vLLL4uIyJIlSyQQCARVhDz33HMydOhQz+p7HRpYLZycnJz6L4wiqlxjxYoV9c83bNggubm5ntUXEcnOzpbvvvsu6HeBQEC2bNkiIqqso7Cw0LP6WVlZUUt0vv76a8nOzvasvoia7zPOOEMuueSSsP9+8pOfOPphaVo/NzdXNmzYEPS7jz/+WPLy8mTKlCmOf1kwrS+i4nDz5s1Bz+2ljBs2bJD8/HzP6q9fv74+47WioqL+94FAQL7++mvHdN2iLxJsILVr165Bqc6aNWscPReb1u/du7e88847IiLSo0ePBmVsS5culYKCAs/qiwQfAxGRAwcOyCuvvCKnnnqq+P1+6dy5s/z+97/3rH5+fn79ubi2tlYCgYAsW7asfvv69esdPQ+Z1hdR30vt38nq6uokEAjUt7NYtmyZ5OXleVY/MzNT1qxZE3H7mjVrJCsry7P6IiobdsiQIXLSSSeF/Xf00Uc7+p3EtH5BQYF88803Qb97+eWXJTc3V95++23Hv5OZ1hdR12b2Fi6ZmZmycuXK+ufr1693/NrQpL7XoYHVwjnqqKPq73TMmDFD8vPz5eGHH67fPmXKFEfv+pvWFxHp27evvPbaa/XPFy9eLBkZGfW9SNavX++oiWZa//jjj5fi4uL6u3t2ampqpLi4WE444QTP6ouIDBgwIGqvraVLlzr6YWlav6ioSObPn9/g95988onk5eXJbbfd5ml9EZH27dvL8uXL65+PHDlSfvjhh/rnq1evdvTi2bS+iOrDddNNN8lhhx0m8+bNE5HkGkim9X0+n8yePVu++uor6datmyxcuDBo+5o1axy9cDSt/+CDD0rfvn1l/fr18vDDD8uIESPqLyI2bNggJ510kvz0pz/1rL5IcBlnKN99953cfvvtjmYEm9Y/9thj5fbbbxcRkalTp0r79u2DMgHvvvtuR+/6m9YXURnBzzzzTP3zWbNmSU5OTn3225o1axw10UzrDxkyRH73u99F3H7TTTfJkCFDPKsvosz0f/zjHxG3O/2dzLR+27Ztw/Za++c//yk5OTkyZcoUT+uLiLRp0ybo5nrnzp2DEi7Wr1/v6OexaX2vQwOrhfPSSy9JWlqa9OrVSzIzM+W1116Tjh07ygUXXCAXXnihZGRkRE3lben6IiJ/+9vfpFWrVnLTTTfJHXfcIR07dgzqs/HSSy/J4MGDPav/1VdfSYcOHaRNmzZyzjnnyKRJk2TSpElyzjnnSJs2baSoqCgoK85r+iIil1xyiVxzzTURt69atUq6d+/uWf2zzz47YkPI2bNnS25urqNfFkzri4icfPLJUUvU/vWvfzl64WRa386sWbOka9eucsstt0h6enrSDCTT+rpZuG4Y/eijjwZt/+c//yn9+vXzrL6IyK9//WtJT0+XPn36SFZWlvj9fsnIyBC/3y9HH320bNu2zdP6oRlQ4XCyjM+0/nvvvSdZWVmSkZEhWVlZMmfOHOndu7cMGzZMjj32WElLS4ta8t/S9UVUuXZ6erpccMEFUlxcLHl5eUEm2lNPPSUjRozwrL7+zB0wYIBcf/31cv/998v9998v119/vQwcOFDy8vIalPd6SV9E5KKLLpLrrrsu4nan+5Ka1j/ttNMi9p595ZVXJD093dHvZKb1RURGjRoV1MYhlLffftvRBAvT+l7HJyJieiVE0jw+++wzfPHFFxgxYgRGjhyJVatW4f7778e+fftw1lln4f/+7/88rQ8AU6ZMwUsvvYSqqiqMGTMGv//975GVlQVALeNdW1uLPn36eFa/oqICL730Er744guUlJQAADp06IARI0bgoosuQkFBgWPabtCvqqpCbW0tcnJyHNVxq/6cOXPw+eef45Zbbgm7ffbs2Zg2bRqef/55T+oDwLp165Ceno4ePXqE3f7KK68gEAjgggsu8KR+KDt37sSVV16J2bNn44svvsARRxyRFF2T+ps2bQp6npeXF7Rs/bRp0wAAxcXFntTXrF69Gu+88w42bNiAuro6FBUVYdSoURg9ejR8Pp+j2qb177rrLvzud78zdi42rQ8AGzduxOLFizF06FB0794dpaWleOKJJ7Bv3z6MHz8eJ598sqf1AWDmzJlB38muvPLK+m07d+4EgKD3ptf0N27ciClTpoT9TjZp0iR0797dMW036JeUlKCqqgrdunVzVMet+v/5z38wd+5cPProo2G3v/LKK3j22Wcxe/ZsT+oD6to0NzcXgwYNCrv9ySefRF1dHSZPnuxJfa9DA4sQQgghhBBCCCGEuBq/6QGQxFBTU4OvvvoK77//Pt5//3189dVXqK6uThl9N4zBtH4kqqursXnz5pTVB9SxMTkG6pvVd8MYqM8YMK1v+lxsWh8wfwyoz/OAaX1CCGnxmK1gJM2ltrZWbrvtNiksLKzvu6H/FRYWyu233y61tbWe1XfDGEzrN8ayZcscrzV3s74bxkB9xgD1GQPUZwxQnzGQDP0nnnhCTj31VDn//PPlo48+Ctq2fft26dGjh6f13TAG6jMGTOt7GWZgtXBuvvlmPPPMM7j//vuxYcMGVFZWorKyEhs2bMADDzyAZ555JmJfGi/ou2EMpvUJIYQQQgh5/PHH8bvf/Q59+vRBZmYmxo0bh/vuu69+e21tbYN+fV7Sd8MYqM8YMK3vdQKmB0Cax7Rp0/CPf/wDY8aMCfp99+7dcdVVV6Fbt24oLi7GAw884El9N4zBtP6QIUOibt+/f78jum7Rd8MYqM8YoD5jgPqMAeozBkzrP/3003j22Wdx0UUXAQCuvvpqTJgwAfv378fdd9/tqLYb9N0wBuozBkzrex0aWC2ciooKdOzYMeL2oqIiVFZWelbfDWMwrb9q1SpceOGFEVc/27ZtG9atW+dZfTeMgfqMAeozBqjPGKA+Y8C0/nfffYeRI0fWPx85ciQ+/vhjjB49GtXV1bjuuusc03aDvhvGQH3GgGl9z2O6hpE0j3Hjxsnpp58u27dvb7Bt+/btMnbsWBk/frxn9d0wBtP6Q4cOlSeffDLi9qVLlzrab8G0vhvGQH3GAPUZA9RnDFCfMWBav0uXLjJ37twGv//666+lffv2Ulxc7Gl9N4yB+owB0/pehz2wWjhPPfUUtm7diqKiIgwZMgRnnHEGzjjjDAwZMgRFRUXYunUrpkyZ4ll9N4zBtP6oUaOwdu3aiNvz8/NxwgkneFbfDWOgPmOA+owB6jMGqM8YMK1/3HHH4Y033mjw+379+mHWrFmYOXOmY9pu0HfDGKjPGDCt73V8IiKmB0GaR11dHd5//3188cUXKCkpAQB06NABI0aMwOmnnw6/31mf0rS+G8ZgWp8QQgghhKQ2y5cvx+LFi3HppZeG3b5y5Ur8+9//xp133ulJfTeMgfqMAdP6XocGFiGEEEIIIYQQQghxNWzi7hEWLlyI+fPnB2X/jBw5Esccc0xK6LthDG7UHzFiBIYNG5YS+m4YA/UZA9RnDFCfMUB9xgD1GQPUZwyY1vcsZltwkeZSWloqxx13nPh8PunWrZsMGzZMhg0bJt26dROfzyfHHXeclJaWelbfDWOgPmOA+owB6jMGqM8YoD5jwA36o0aNSll9N4yB+owB0/pehwZWC+e8886TESNGyJo1axpsW7NmjYwcOVJ++tOfelbfDWOgPmOA+owB6jMGqM8YoD5jgPqMAeozBkzrex0aWC2cvLw8WbJkScTtixYtkry8PM/qu2EM1GcMUJ8xQH3GAPUZA9RnDFCfMUB9xoBpfa/DpdFaOJmZmSgvL4+4vaKiApmZmZ7Vd8MYqM8YoD5jgPqMAeozBqjPGKA+Y4D6jAHT+p7HtINGmsc111wj3bp1kzfeeEPKysrqf19WViZvvPGGdO/eXSZPnuxZfTeMgfqMAeozBqjPGKA+Y4D6jAHqMwaozxgwre91aGC1cA4cOCCTJk2SjIwM8fv9kpWVJVlZWeL3+yUjI0OuvvpqOXDggGf13TAG6jMGqM8YoD5jgPqMAeozBqjPGKA+Y8C0vtfxiYiYzgIjzae8vByLFy8OWqZz6NChKCgoSAl9N4yB+owB6jMGqM8YoD5jgPqMAeozBqjPGDCt71VoYBFCCCGEEEIIIYQQV8Mm7h5g//79mDdvHlatWtVg24EDBzBt2jRP67thDNRnDFCfMUB9xgD1GQPUZwxQnzFAfcaAaX1PY7aCkTSXtWvXSrdu3cTn84nf75cTTjhBtmzZUr+9pKRE/H6/Z/XdMAbqMwaozxigPmOA+owB6jMGqM8YoD5jwLS+12EGVgvn//2//4f+/fvjxx9/xNq1a5Gfn4/jjjsOmzdvTgl9N4yB+owB6jMGqM8YoD5jgPqMAeozBqjPGDCt73lMO2ikebRr106WL19e/7yurk4mTZokXbt2lW+//dZxh9e0vhvGQH3GAPUZA9RnDFCfMUB9xgD1GQPUZwyY1vc6zMBq4ezfvx+BQKD+uc/nw5QpU3DWWWfhxBNPxLp16zyt74YxUJ8xQH3GAPUZA9RnDFCfMUB9xgD1GQOm9T2PaQeNNI9jjjlGpk2bFnbbr371KyksLHTU4TWt74YxUJ8xQH3GAPUZA9RnDFCfMUB9xgD1GQOm9b0ODawWzp/+9Cc544wzIm6/+uqrxefzeVbfDWOgPmOA+owB6jMGqM8YoD5jgPqMAeozBkzrex2fiIjpLDBCCCGEEEIIIYQQQiLBHliEEEIIIYQQQgghxNXQwCKEEEIIIYQQQgghroYGFiGEEEIIIYQQQghxNTSwCCGEEEIIIYQQQoiroYFFCCGEEEIIIYQQQlwNDSxCCCGEkCRzySWXwOfzwefzIT09He3bt8dpp52GqVOnoq6uLubXeeGFF1BYWOjcQAkhhBBCXAINLEIIIYQQA4wdOxbbtm3Dxo0bMXPmTJx88sm49tprceaZZ6Kmpsb08AghhBBCXAUNLEIIIYQQA2RmZqJDhw7o1KkThgwZgltvvRX//e9/MXPmTLzwwgsAgEceeQQDBgxAbm4uunTpgmuuuQZ79+4FAHzyySe49NJLUVZWVp/N9Yc//AEAUFVVhRtvvBGdOnVCbm4uhg8fjk8++cTMjhJCCCGEJAAaWIQQQgghLuGUU07BUUcdhTfeeAMA4Pf78fjjj+Prr7/Giy++iI8//hg33XQTAGDkyJF47LHHUFBQgG3btmHbtm248cYbAQCTJ0/G/PnzMX36dCxfvhznn38+xo4di/Xr1xvbN0IIIYSQ5uATETE9CEIIIYSQVOKSSy7Bnj178OabbzbYduGFF2L58uVYtWpVg22vv/46Jk2ahB07dgBQPbCuu+467Nmzp/5vNm/ejJ49e2Lz5s3o2LFj/e9Hjx6NYcOG4U9/+lPC94cQQgghxGkCpgdACCGEEEIsRAQ+nw8A8NFHH+G+++7DmjVrUF5ejpqaGhw4cAD79u1DTk5O2P+/YsUK1NbWonfv3kG/r6qqQps2bRwfPyGEEEKIE9DAIoQQQghxEatXr0aPHj2wceNGnHnmmbj66qtx7733onXr1pg3bx4uv/xyHDx4MKKBtXfvXqSlpWHx4sVIS0sL2paXl5eMXSCEEEIISTg0sAghhBBCXMLHH3+MFStW4Prrr8fixYtRV1eHhx9+GH6/alv6r3/9K+jvMzIyUFtbG/S7wYMHo7a2Fj/++COOP/74pI2dEEIIIcRJaGARQgghhBigqqoKJSUlqK2tRWlpKd577z3cd999OPPMM1FcXIyVK1eiuroaf/3rX3HWWWfhs88+w1NPPRX0Gt27d8fevXsxa9YsHHXUUcjJyUHv3r3x85//HMXFxXj44YcxePBgbN++HbNmzcLAgQMxfvx4Q3tMCCGEENJ0uAohIYQQQogB3nvvPRQVFaF79+4YO3YsZs+ejccffxz//e9/kZaWhqOOOgqPPPIIHnjgAfTv3x8vv/wy7rvvvqDXGDlyJCZNmoSJEyeibdu2+POf/wwAeP7551FcXIzf/va3OOKIIzBhwgR8+eWX6Nq1q4ldJYQQQghpNlyFkBBCCCGEEEIIIYS4GmZgEUIIIYQQQgghhBBXQwOLEEIIIYQQQgghhLgaGliEEEIIIYQQQgghxNXQwCKEEEIIIYQQQgghroYGFiGEEEIIIYQQQghxNTSwCCGEEEIIIYQQQoiroYFFCCGEEEIIIYQQQlwNDSxCCCGEEEIIIYQQ4mpoYBFCCCGEEEIIIYQQV0MDixBCCCGEEEIIIYS4GhpYhBBCCCGEEEIIIcTV0MAihBBCCCGEEEIIIa6GBhYhhBBCCCGEEEIIcTU0sAghhBBCCCGEEEKIq6GBRQghhBBCCCGEEEJcDQ0sQgghhBBCCCGEEOJqaGARQgghhBBCCCGEEFfz/wHRe/Brv4ZnQwAAAABJRU5ErkJggg=="','image','{"params": {"country": "TCD"}, "parameters": {"country_code": "TCD"}, "attribution": "None", "data_url": "None", "time_period": {"start": "2008-01-01"}}','Recipe sample result','matt','matt','2024-06-13 22:23:02.316092'), + ('452c800a-99af-47fc-8cd2-54389bdd2cb7','9ee0b7e2-a2e3-4b9a-8c16-c62a9c71f612','{"function": "generate_ipc_population_map", "params": {"country": "Chad", "ipc_level": "3"}}','"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"','image','{"params": {"country": "Chad", "ipc_level": "3"}, "attribution": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595", "data_url": "https://data.humdata.org/dataset/5123033a-2db1-496c-b381-df804ac30595/resource/c689cb9f-2475-4b7e-8beb-178ed9f6253d/download/cadre_harmonise_caf_ipc_mar24_final_ver-2.xlsx", "time_period": {"start": "2024-06-01", "end": "2024-08-31T00:00:00"}}','Recipe sample result','matt','matt','2024-06-13 22:23:20.947304'); +INSERT INTO public.memory ("custom_id","recipe_custom_id","recipe_params","result","result_type","result_metadata","source","created_by","updated_by","last_updated") VALUES + ('6d99b884-06d8-452e-9ba1-ed5e6417b381','b3220a94-2d7d-45fc-a330-a0cf0cd1474d','{"function": "generate_population_map", "params": {"adm0_code": "HTI", "admin_level": "admin1"}}','"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"','image','{"params": {"adm0_code": "HTI", "admin_level": "admin1"}, "attribution": "https://data.humdata.org/dataset/95ba5281-fd76-4d3a-ae29-247e1ff26447/resource/9221c325-b8ea-46fc-bcac-d3e183078581", "data_url": "https://data.humdata.org/dataset/95ba5281-fd76-4d3a-ae29-247e1ff26447/resource/9221c325-b8ea-46fc-bcac-d3e183078581/download/hti_admpop_adm2_2022.csv", "time_period": {"start": "2022-01-01", "end": "2022-12-31T23:59:59"}}','Recipe sample result','matt','matt','2024-06-13 22:22:59.12072'), + ('cdec3c66-84e7-40b7-9931-b83b7c99a5b8','ccfb1a66-febc-4c39-a2fd-4ee15de3808c','{"function": "get_population_with_metadata", "params": {"country_code": "MLI"}}','{"result": {"type": "number", "file": "", "value": "17907114"}, "metadata": {"params": {"country_code": "MLI"}, "attribution": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c", "data_url": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/6f243ba2-4d4a-4663-a7c4-e917dbbde73a/download/mli_pop_adm0_v2.csv", "time_period": {"start": "2018-01-01", "end": "2018-12-31T23:59:59"}}}','text','{"params": {"country_code": "MLI"}, "attribution": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c", "data_url": "https://data.humdata.org/dataset/ce21c7db-d8f0-40f8-adc2-452d2d2d105c/resource/6f243ba2-4d4a-4663-a7c4-e917dbbde73a/download/mli_pop_adm0_v2.csv", "time_period": {"start": "2018-01-01", "end": "2018-12-31T23:59:59"}}','Recipe sample result','matt','matt','2024-06-13 22:22:50.108145'), + ('af936e2d-b976-40c9-add4-0209c0f2307e','dc555be4-8341-4af0-8ebe-e31211bac75c','{"function": "generate_fatalities_report", "params": {"country_code": "TCD"}}','"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"','image','{"params": {"country_code": "TCD"}, "attribution": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a", "data_url": "https://data.humdata.org/dataset/b009f9b0-aa65-49c5-b188-a33daade0f4a/resource/bb78c035-ec19-4503-b325-0673749c2eb4/download/chad_hrp_political_violence_events_and_fatalities_by_month-year_as-of-29may2024.xlsx"}','Recipe sample result','matt','matt','2024-06-13 22:22:29.421153'), + ('570e26ee-3ff7-438f-b2d3-feb826b956b4','f6fe70c3-48ed-48cd-ac97-d762c72bbf5b','{"function": "operational_presence_task", "params": {"adm0_code": "TCD", "sector": "Food Security", "region": "Wadi Fira"}}','{"result": {"type": "text", "file": "", "value": "| Organization | Country | Region |\n|:------------------------------------------------------------------|:----------|:---------|\n| Association des Femmes pour le D\u00e9veloppement Int\u00e9gr\u00e9 | TCD | TD17 |\n| Association Tchadienne pour la Promotion du D\u00e9v\u00e9loppement Int\u00e9gr\u00e9 | TCD | TD17 |\n| BAP | TCD | TD17 |\n| Bureau Consult International | TCD | TD17 |\n| CA17/PREPASS | TCD | TD17 |\n| CARE International | TCD | TD17 |\n| Comit\u00e9 International pour l''Aide d''Urgence et le D\u00e9veloppement | TCD | TD17 |\n| Croix Rouge Tchadienne | TCD | TD17 |\n| Food and Agriculture Organization | TCD | TD17 |\n| German Development Cooperation | TCD | TD17 |\n| Hebrew Immigrant Aid Society | TCD | TD17 |\n| International Cooperation and Developpment World | TCD | TD17 |\n| KITES | TCD | TD17 |\n| NIRVANA | TCD | TD17 |\n| Programme Alimentaire Mondiale | TCD | TD17 |\n| Secours Catholique et D\u00e9veloppement | TCD | TD17 |\n| UN Refugee Agency | TCD | TD17 |"}, "metadata": {"params": {"country": "Chad", "sector": "Food Security"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}}','text','{"params": {"country": "Chad", "sector": "Food Security"}, "attribution": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de", "data_url": "https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx", "time_period": {"start": "2023-12-01", "end": "2024-05-31T23:59:59.999999"}}','Recipe sample result','matt','matt','2024-06-13 22:22:46.235921'); diff --git a/deployment/deploy_azure.py b/deployment/deploy_azure.py index 795db8bf..38fe6500 100644 --- a/deployment/deploy_azure.py +++ b/deployment/deploy_azure.py @@ -65,9 +65,15 @@ def deploy(): Note: The variables 'container_registry', 'repo', 'azure_platform', and 'docker_compose_file' should be defined before calling this function. """ + + # if container resistry not set + if container_registry is None or container_registry == "": + print("You must set your AZURE_CONTAINER_REGISTER in .env") + sys.exit() + tags = { - "data-recipes-ai-cli-server": [f"{container_registry}/{repo}", "server"], - "data-recipes-ai-cli-chat": [f"{container_registry}/{repo}", "chat"], + "data-recipes-ai-server": [f"{container_registry}/{repo}", "server"], + "data-recipes-ai-chat": [f"{container_registry}/{repo}", "chat"], } run_cmd("az login") diff --git a/flows/chainlit-ui-evaluation/call_assistant.py b/flows/chainlit-ui-evaluation/call_assistant.py index 49081175..916443ec 100644 --- a/flows/chainlit-ui-evaluation/call_assistant.py +++ b/flows/chainlit-ui-evaluation/call_assistant.py @@ -34,7 +34,9 @@ TMP_IMAGE = "temp.png" CHAT_URL = os.getenv("CHAT_URL") -IMAGE_SUMMARIZATION_PROMPT = "Summarize the image" +IMAGE_SUMMARIZATION_PROMPT = ( + "Summarize the image. Where possible list maximum or minimum values and any trends." +) def set_chrome_options() -> Options: @@ -319,7 +321,7 @@ def call_assistant(query, chat_history): # user_input = chat_history[4] # print(user_input) - # user_input="Is your data updated in real time?" + # user_input="How many rows does the population table have for Nigeria" # call_assistant(user_input, "[]") # sys.exit() diff --git a/flows/chainlit-ui-evaluation/data.jsonl b/flows/chainlit-ui-evaluation/data.jsonl index fc8e77e2..271c2e99 100644 --- a/flows/chainlit-ui-evaluation/data.jsonl +++ b/flows/chainlit-ui-evaluation/data.jsonl @@ -1,7 +1,7 @@ {"test_scenario": "Assistant smalltalk, salutation", "query": "Hi", "chat_history": "[]", "context": "['Hello! How can I assist you today?']"} {"test_scenario": "Text answer from memory", "query": "What is the total population of Mali", "chat_history": "[]", "context": "['The answer is: 17,907,114.0', '\u2705 A human approved this data recipe; Source; Raw data; 2018-01-01 to 2018-12-31']"} -{"test_scenario": "Image answer from memory", "query": "plot a line chart of fatalities by month for Chad using HDX data as an image", "chat_history": "[]", "context": "['*AN IMAGE WAS OUTPUT, HERE IS ITS LLM-GENERATED DESCRIPTION* ... The image is a line graph titled \"Fatalities by Month for Chad,\" depicting the total number of fatalities per month from January 2008 to January 2024. The x-axis represents the months, while the y-axis represents the total fatalities. \\n\\nKey observations:\\n- There are several peaks indicating months with high fatalities.\\n- Notable spikes occur around mid-2008, early 2009, mid-2015, early 2021, and mid-2021.\\n- The highest peak appears to be in early 2021, with fatalities exceeding 500.\\n- There are periods of relatively low fatalities, particularly between 2010 and 2014.\\n- Overall, there is an increasing trend in fatalities over the years, with more frequent spikes in recent years.', '\u2705 A human approved this data recipe; Source; Raw data']"} -{"test_scenario": "Image answer from recipe", "query": "Plot population pyramids for Nigeria", "chat_history": "[]", "context": "['*AN IMAGE WAS OUTPUT, HERE IS ITS LLM-GENERATED DESCRIPTION* ... The image is a population pyramid for Nigeria (NGA). It displays the population distribution by age and gender. The horizontal axis represents the population in millions, with males on the left (in blue) and females on the right (in pink). The vertical axis represents different age ranges, from 0-4 at the bottom to 80+ at the top.\\n\\nKey observations:\\n- The pyramid has a broad base, indicating a large number of young people (0-14 years).\\n- The population decreases steadily with age, showing a typical pyramid shape.\\n- There are more males than females in the younger age groups, but the difference is not very pronounced.\\n- The population significantly tapers off in the older age groups (60+ years).', '\u2705 A human approved this data recipe; Source; Raw data; 2020-01-01 to 2020-12-31']"} +{"test_scenario": "Image answer from memory", "query": "plot a line chart of fatalities by month for Chad using HDX data as an image", "chat_history": "[]", "context": "['*AN IMAGE WAS OUTPUT, HERE IS ITS LLM-GENERATED DESCRIPTION* ... The image is a line graph titled \"Fatalities by Month for Chad,\" depicting the total number of fatalities per month from January 2008 to January 2024. The x-axis represents the months, while the y-axis represents the total fatalities.\\n\\nKey observations:\\n- There are several peaks indicating months with high fatalities.\\n- Notable spikes occur around mid-2008, early 2009, mid-2015, early 2021, and mid-2021.\\n- The highest peak appears to be in early 2021, with fatalities exceeding 500.\\n- There are periods of relatively low fatalities, particularly between 2010 and 2014.\\n- The overall trend shows fluctuations with occasional sharp increases in fatalities.', '\u2705 A human approved this data recipe; Source; Raw data']"} +{"test_scenario": "Image answer from recipe", "query": "Plot population pyramids for Nigeria", "chat_history": "[]", "context": "['*AN IMAGE WAS OUTPUT, HERE IS ITS LLM-GENERATED DESCRIPTION* ... The image is a population pyramid for Nigeria (NGA). It displays the population distribution by age and gender. The horizontal axis represents the population in millions, with males on the left (in blue) and females on the right (in pink). The vertical axis represents different age ranges, starting from 0-4 at the bottom to 80+ at the top.\\n\\nKey observations:\\n- The pyramid has a broad base, indicating a large number of young people (0-14 age range).\\n- The population decreases steadily with age, showing a typical pyramid shape.\\n- There are more males than females in the younger age groups, but the difference is not very pronounced.\\n- The population in older age groups (60 and above) is significantly smaller compared to younger age groups.', '\u2705 A human approved this data recipe; Source; Raw data; 2020-01-01 to 2020-12-31']"} {"test_scenario": "Assistant on-the-fly SQL, text answer", "query": "How many rows does the population table have for Nigeria", "chat_history": "[]", "context": "['The population table has 43,794 rows for Nigeria.']"} -{"test_scenario": "Assistant created image (simple)", "query": "Plot f{x}=10", "chat_history": "[]", "context": "['*AN IMAGE WAS OUTPUT, HERE IS ITS LLM-GENERATED DESCRIPTION* ... The image is a plot of the function \\\\( f(x) = 10 \\\\). The graph shows a horizontal line at \\\\( f(x) = 10 \\\\) across the range of \\\\( x \\\\) values from -10 to 10. The x-axis is labeled \"x\" and the y-axis is labeled \"f(x)\". There is a legend on the right side of the plot indicating that the orange line represents \\\\( f(x) = 10 \\\\). The plot title is \"Plot of f(x) = 10\".']"} -{"test_scenario": "Assistant answers using vector store", "query": "Is your data updated in real time?", "chat_history": "[]", "context": "['The data is updated in real-time for data sources configured as API data sources. The system calls these APIs on-demand to pull in the latest data from the remote system. However, for data sources where data is ingested, such as HAPI, the update frequency depends on how often the ingestion process is run, which is controlled by the user of the humanitarian AI assistant[0].', '\ud83e\udd16 Caution: LLM Analysis; Sources: [0] HDIP FAQs (External) .pdf']"} +{"test_scenario": "Assistant created image (simple)", "query": "Plot f{x}=10", "chat_history": "[]", "context": "['*AN IMAGE WAS OUTPUT, HERE IS ITS LLM-GENERATED DESCRIPTION* ... The image is a plot of the function \\\\( f(x) = 10 \\\\). The graph is a horizontal line at \\\\( y = 10 \\\\) that extends from \\\\( x = -10 \\\\) to \\\\( x = 10 \\\\). The x-axis ranges from -10 to 10, and the y-axis ranges from 0 to 10. The plot includes a legend indicating that the line represents \\\\( f(x) = 10 \\\\).']"} +{"test_scenario": "Assistant answers using vector store", "query": "Is your data updated in real time?", "chat_history": "[]", "context": "['The data is not updated in real-time. For data sources configured as API data sources, the system will call them on-demand to pull in the latest data from the remote system. However, for data sources where data is ingested, like HAPI, the frequency of updates depends on how often the ingestion process is run, which is controlled by the user of the humanitarian AI assistant[0].', '\ud83e\udd16 Caution: LLM Analysis; Sources: [0] HDIP FAQs (External) .pdf']"} diff --git a/flows/chainlit-ui-evaluation/flow.dag.yaml b/flows/chainlit-ui-evaluation/flow.dag.yaml index 11c0eb23..4a923ae0 100644 --- a/flows/chainlit-ui-evaluation/flow.dag.yaml +++ b/flows/chainlit-ui-evaluation/flow.dag.yaml @@ -55,7 +55,7 @@ nodes: context: ${inputs.context} temperature: 0 model: gpt-4o - connection: azure_open_ai_connection + connection: open_ai_connection api: chat - name: concat_scores type: python diff --git a/management/recipe_sync.py b/management/recipe_sync.py index 638e91c4..e67b7836 100644 --- a/management/recipe_sync.py +++ b/management/recipe_sync.py @@ -1338,12 +1338,14 @@ def run_recipe(recipe_path): # Extract output if output_start_string in result.stdout: output = result.stdout.split(output_start_string)[1] + # output is JSON + validate_output(output) + output = json.loads(output) else: - raise ValueError("Output of recipe must contain 'OUTPUT:'") - - # output is JSON - validate_output(output) - output = json.loads(output) + error_str = "ERROR: Output of recipe must contain 'OUTPUT:'" + print(error_str) + result.stderr += f"\n\n{error_str}" + output = {} recipe_folder = os.path.dirname(recipe_path) diff --git a/templates/groundedness_score.jinja2 b/templates/groundedness_score.jinja2 index 857f5eda..8962831f 100644 --- a/templates/groundedness_score.jinja2 +++ b/templates/groundedness_score.jinja2 @@ -32,6 +32,7 @@ Key points: - if the CONTEXT is a basic greeting, like "Hello" and the ANSWER is a basic greeting also, groundedness is 5 - Focus on facts, not on the language used to present the facts - If the ANSWER presents a fact, and the CONTEXT presents the same fact, groundedness is 5 +- Your ANSWER must **ONLY** be a number from 1-5 Reminder: The return values for each task should be correctly formatted as an integer between 1 and 5. Do not repeat the context. diff --git a/tests/test_cases_get_memory.json b/tests/test_cases_get_memory.json index a7543ec8..c74c20e5 100644 --- a/tests/test_cases_get_memory.json +++ b/tests/test_cases_get_memory.json @@ -45,7 +45,7 @@ "expected_output": { "result": { "type": "image", - "file": "http://localhost:8000/public/images/memory_image_e9d3e3ee-977f-4291-a51a-7e4e3e4cd5f3.png", + "file": "http://localhost:8000/public/images/memory_image_1f62a50e-59fa-4ab4-b5bf-5b5aa48a57dd.png", "value": "" }, "metadata": "{\"params\": {\"region\": \"Wadi Fira\"}, \"attribution\": \"https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de\", \"data_url\": \"https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/1e3ba1f4-2dbc-4f46-9ce7-2274e157188e/download/3w-tcd-20240508.xlsx\", \"time_period\": {\"start\": \"2023-12-01\", \"end\": \"2024-05-31T23:59:59.999999\"}}", diff --git a/ui/chat-chainlit-assistant/app.py b/ui/chat-chainlit-assistant/app.py index 4a8580de..3af798a5 100644 --- a/ui/chat-chainlit-assistant/app.py +++ b/ui/chat-chainlit-assistant/app.py @@ -201,6 +201,8 @@ def handle_message_completed(self, message): None """ + citations = None + # Check for citations if hasattr(message.content[0], "text"): message_content = message.content[0].text @@ -232,7 +234,7 @@ def handle_message_completed(self, message): word_count = len(self.current_message_text.split()) if word_count > 10: - if citations is not None: + if citations is not None and len(citations) > 0: citations = "; Sources: " + "; ".join(citations) else: citations = "" diff --git a/utils/llm.py b/utils/llm.py index 4d6a52c3..44eac673 100644 --- a/utils/llm.py +++ b/utils/llm.py @@ -175,14 +175,15 @@ def call_llm(instructions, prompt, image=None, debug=True): return response -def gen_sql(input, chat_history, output): +def gen_sql(input, chat_history, output, errors=""): """ Generate SQL query based on input, chat history, and output. Args: input (str): The input for generating the SQL query. chat_history (str): The chat history used for generating the SQL query. - output (str): The output of the SQL query. + output (str): The output of the SQL query + errors (str): The errors generated by the SQL query. Returns: str: The generated SQL query. @@ -199,7 +200,7 @@ def gen_sql(input, chat_history, output): prompt = sql_prompt_template.render( input=input, stdout_output=output, - stderr_output="", + stderr_output=errors, data_info=data_info, chat_history=chat_history, )