mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +00:00
208 lines
7.1 KiB
Plaintext
208 lines
7.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "ac561cc4",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain import LLMMathChain, OpenAI, SerpAPIChain, MRKLChain, SQLDatabase, SQLDatabaseChain\n",
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"from langchain.chains.mrkl.base import ChainConfig"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "07e96d99",
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"metadata": {},
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"outputs": [],
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"source": [
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"llm = OpenAI(temperature=0)\n",
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"search = SerpAPIChain()\n",
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"llm_math_chain = LLMMathChain(llm=llm, verbose=True)\n",
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"db = SQLDatabase.from_uri(\"sqlite:///../notebooks/Chinook.db\")\n",
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"db_chain = SQLDatabaseChain(llm=llm, database=db, verbose=True)\n",
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"chains = [\n",
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" ChainConfig(\n",
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" action_name = \"Search\",\n",
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" action=search.search,\n",
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" action_description=\"useful for when you need to answer questions about current events\"\n",
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" ),\n",
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" ChainConfig(\n",
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" action_name=\"Calculator\",\n",
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" action=llm_math_chain.run,\n",
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" action_description=\"useful for when you need to answer questions about math\"\n",
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" ),\n",
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" \n",
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" ChainConfig(\n",
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" action_name=\"FooBar DB\",\n",
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" action=db_chain.query,\n",
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" action_description=\"useful for when you need to answer questions about FooBar. Input should be in the form of a question\"\n",
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" )\n",
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"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "a069c4b6",
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"metadata": {},
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"outputs": [],
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"source": [
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"mrkl = MRKLChain.from_chains(llm, chains, verbose=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "e603cd7d",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new chain...\u001b[0m\n",
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"What is the age of Olivia Wilde's boyfriend raised to the 0.23 power?\n",
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"Thought:\u001b[102m I need to find the age of Olivia Wilde's boyfriend\n",
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"Action: Search\n",
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"Action Input: \"Olivia Wilde's boyfriend\"\u001b[0m\n",
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"Observation: \u001b[104mOlivia Wilde started dating Harry Styles after ending her years-long engagement to Jason Sudeikis — see their relationship timeline.\u001b[0m\n",
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"Thought:\u001b[102m I need to find the age of Harry Styles\n",
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"Action: Search\n",
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"Action Input: \"Harry Styles age\"\u001b[0m\n",
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"Observation: \u001b[104m28 years\u001b[0m\n",
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"Thought:\u001b[102m I need to calculate 28 to the 0.23 power\n",
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"Action: Calculator\n",
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"Action Input: 28^0.23\u001b[0m\n",
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"\n",
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"\u001b[1m> Entering new chain...\u001b[0m\n",
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"28^0.23\u001b[102m\n",
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"\n",
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"```python\n",
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"print(28**0.23)\n",
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"```\n",
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"\u001b[0m\n",
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"Answer: \u001b[103m2.1520202182226886\n",
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"\u001b[0m\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"Observation: \u001b[103mAnswer: 2.1520202182226886\n",
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"\u001b[0m\n",
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"Thought:\u001b[102m I now know the final answer\n",
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"Final Answer: 2.1520202182226886\u001b[0m\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"'2.1520202182226886'"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"mrkl.run(\"What is the age of Olivia Wilde's boyfriend raised to the 0.23 power?\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "a5c07010",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new chain...\u001b[0m\n",
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"Who recently released an album called 'The Storm Before the Calm' and are they in the FooBar database? If so, what albums of theirs are in the FooBar database?\n",
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"Thought:\u001b[102m I need to find an album called 'The Storm Before the Calm'\n",
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"Action: Search\n",
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"Action Input: \"The Storm Before the Calm album\"\u001b[0m\n",
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"Observation: \u001b[104mThe Storm Before the Calm (stylized in all lowercase) is the tenth (and eighth international) studio album by Canadian-American singer-songwriter Alanis ...\u001b[0m\n",
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"Thought:\u001b[102m I need to check if Alanis is in the FooBar database\n",
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"Action: FooBar DB\n",
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"Action Input: \"Does Alanis Morissette exist in the FooBar database?\"\u001b[0m\n",
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"\n",
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"\u001b[1m> Entering new chain...\u001b[0m\n",
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"Does Alanis Morissette exist in the FooBar database?\n",
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"SQLQuery:\u001b[102m SELECT * FROM Artist WHERE Name = 'Alanis Morissette'\u001b[0m\n",
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"SQLResult: \u001b[103m[(4, 'Alanis Morissette')]\u001b[0m\n",
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"Answer:\u001b[102m Yes\u001b[0m\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"Observation: \u001b[101m Yes\u001b[0m\n",
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"Thought:\u001b[102m I need to find out what albums of Alanis's are in the FooBar database\n",
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"Action: FooBar DB\n",
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"Action Input: \"What albums by Alanis Morissette are in the FooBar database?\"\u001b[0m\n",
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"\n",
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"\u001b[1m> Entering new chain...\u001b[0m\n",
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"What albums by Alanis Morissette are in the FooBar database?\n",
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"SQLQuery:\u001b[102m SELECT Title FROM Album WHERE ArtistId = (SELECT ArtistId FROM Artist WHERE Name = 'Alanis Morissette')\u001b[0m\n",
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"SQLResult: \u001b[103m[('Jagged Little Pill',)]\u001b[0m\n",
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"Answer:\u001b[102m The album \"Jagged Little Pill\" by Alanis Morissette is in the FooBar database.\u001b[0m\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"Observation: \u001b[101m The album \"Jagged Little Pill\" by Alanis Morissette is in the FooBar database.\u001b[0m\n",
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"Thought:\u001b[102m I now know the final answer\n",
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"Final Answer: The album \"Jagged Little Pill\" by Alanis Morissette is the only album by Alanis Morissette in the FooBar database.\u001b[0m\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"'The album \"Jagged Little Pill\" by Alanis Morissette is the only album by Alanis Morissette in the FooBar database.'"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"mrkl.run(\"Who recently released an album called 'The Storm Before the Calm' and are they in the FooBar database? If so, what albums of theirs are in the FooBar database?\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d7c2e6ac",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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