mirror of
https://github.com/hwchase17/langchain.git
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Use docusaurus versioning with a callout, merged master as well @hwchase17 @baskaryan --------- Signed-off-by: Weichen Xu <weichen.xu@databricks.com> Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Leonid Ganeline <leo.gan.57@gmail.com> Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru> Co-authored-by: Averi Kitsch <akitsch@google.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Martín Gotelli Ferenaz <martingotelliferenaz@gmail.com> Co-authored-by: Fayfox <admin@fayfox.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Dawson Bauer <105886620+djbauer2@users.noreply.github.com> Co-authored-by: Ravindu Somawansa <ravindu.somawansa@gmail.com> Co-authored-by: Dhruv Chawla <43818888+Dominastorm@users.noreply.github.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: WeichenXu <weichen.xu@databricks.com> Co-authored-by: Benito Geordie <89472452+benitoThree@users.noreply.github.com> Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com> Co-authored-by: Kartik Sarangmath <kartik@thirdai.com> Co-authored-by: Sevin F. Varoglu <sfvaroglu@octoml.ai> Co-authored-by: MacanPN <martin.triska@gmail.com> Co-authored-by: Prashanth Rao <35005448+prrao87@users.noreply.github.com> Co-authored-by: Hyeongchan Kim <kozistr@gmail.com> Co-authored-by: sdan <git@sdan.io> Co-authored-by: Guangdong Liu <liugddx@gmail.com> Co-authored-by: Rahul Triptahi <rahul.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: pjb157 <84070455+pjb157@users.noreply.github.com> Co-authored-by: Eun Hye Kim <ehkim1440@gmail.com> Co-authored-by: kaijietti <43436010+kaijietti@users.noreply.github.com> Co-authored-by: Pengcheng Liu <pcliu.fd@gmail.com> Co-authored-by: Tomer Cagan <tomer@tomercagan.com> Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
201 lines
4.6 KiB
Plaintext
201 lines
4.6 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "9597802c",
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"metadata": {},
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"source": [
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"# OpenAI\n",
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"\n",
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"[OpenAI](https://platform.openai.com/docs/introduction) offers a spectrum of models with different levels of power suitable for different tasks.\n",
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"\n",
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"This example goes over how to use LangChain to interact with `OpenAI` [models](https://platform.openai.com/docs/models)"
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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": 1,
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"id": "5d71df86-8a17-4283-83d7-4e46e7c06c44",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"# get a token: https://platform.openai.com/account/api-keys\n",
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"\n",
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"from getpass import getpass\n",
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"\n",
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"OPENAI_API_KEY = getpass()"
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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": "5472a7cd-af26-48ca-ae9b-5f6ae73c74d2",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import os\n",
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"\n",
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"os.environ[\"OPENAI_API_KEY\"] = OPENAI_API_KEY"
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]
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},
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{
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"cell_type": "markdown",
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"id": "129a3275",
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"metadata": {},
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"source": [
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"Should you need to specify your organization ID, you can use the following cell. However, it is not required if you are only part of a single organization or intend to use your default organization. You can check your default organization [here](https://platform.openai.com/account/api-keys).\n",
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"\n",
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"To specify your organization, you can use this:\n",
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"```python\n",
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"OPENAI_ORGANIZATION = getpass()\n",
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"\n",
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"os.environ[\"OPENAI_ORGANIZATION\"] = OPENAI_ORGANIZATION\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": "6fb585dd",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"from langchain.chains import LLMChain\n",
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"from langchain_core.prompts import PromptTemplate\n",
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"from langchain_openai import OpenAI"
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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": "035dea0f",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"template = \"\"\"Question: {question}\n",
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"\n",
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"Answer: Let's think step by step.\"\"\"\n",
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"\n",
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"prompt = PromptTemplate.from_template(template)"
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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": "3f3458d9",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"llm = OpenAI()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "4fc152cd",
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"metadata": {},
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"source": [
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"If you manually want to specify your OpenAI API key and/or organization ID, you can use the following:\n",
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"```python\n",
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"llm = OpenAI(openai_api_key=\"YOUR_API_KEY\", openai_organization=\"YOUR_ORGANIZATION_ID\")\n",
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"```\n",
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"Remove the openai_organization parameter should it not apply to you."
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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": 6,
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"id": "a641dbd9",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"llm_chain = LLMChain(prompt=prompt, llm=llm)"
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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": 7,
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"id": "9f844993",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"' Justin Bieber was born in 1994, so the NFL team that won the Super Bowl in 1994 was the Dallas Cowboys.'"
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]
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},
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"execution_count": 7,
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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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"question = \"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\n",
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"\n",
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"llm_chain.run(question)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "58a9ddb1",
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"metadata": {},
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"source": [
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"If you are behind an explicit proxy, you can specify the http_client to pass through"
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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": 8,
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"id": "55142cec",
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"metadata": {},
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"outputs": [],
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"source": [
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"pip install httpx\n",
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"\n",
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"import httpx\n",
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"\n",
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"openai = OpenAI(model_name=\"gpt-3.5-turbo-instruct\", http_client=httpx.Client(proxies=\"http://proxy.yourcompany.com:8080\"))"
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]
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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 3.11.1 64-bit",
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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": "3.9.7"
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},
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"vscode": {
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"interpreter": {
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"hash": "e971737741ff4ec9aff7dc6155a1060a59a8a6d52c757dbbe66bf8ee389494b1"
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}
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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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