Merge pull request #463 from cicucicu/community-contributions-branch
Added my contributions to community-contributions
This commit is contained in:
Ed Donner
GitHub
218
week1/community-contributions/week1_day1_so_wrong.ipynb
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218
week1/community-contributions/week1_day1_so_wrong.ipynb
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4e2a9393-7767-488e-a8bf-27c12dca35bd",
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"metadata": {},
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"outputs": [],
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"source": [
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"# imports\n",
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"\n",
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"import os\n",
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"import requests\n",
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"from dotenv import load_dotenv\n",
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"from bs4 import BeautifulSoup\n",
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"from IPython.display import Markdown, display\n",
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"from openai import OpenAI\n"
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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": "7b87cadb-d513-4303-baee-a37b6f938e4d",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Load environment variables in a file called .env\n",
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"\n",
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"load_dotenv(override=True)\n",
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"api_key = os.getenv('OPENAI_API_KEY')\n",
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"\n",
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"# Check the key\n",
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"\n",
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"if not api_key:\n",
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" print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n",
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"elif not api_key.startswith(\"sk-proj-\"):\n",
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" print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n",
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"elif api_key.strip() != api_key:\n",
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" print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n",
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"else:\n",
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" print(\"API key found and looks good so far!\")\n"
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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": "019974d9-f3ad-4a8a-b5f9-0a3719aea2d3",
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"metadata": {},
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"outputs": [],
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"source": [
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"openai = OpenAI()\n"
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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": "c5e793b2-6775-426a-a139-4848291d0463",
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"metadata": {},
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"outputs": [],
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"source": [
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"# A class to represent a Webpage\n",
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"# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n",
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"\n",
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"# Some websites need you to use proper headers when fetching them:\n",
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"headers = {\n",
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" \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n",
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"}\n",
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"\n",
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"class Website:\n",
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"\n",
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" def __init__(self, url):\n",
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" \"\"\"\n",
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" Create this Website object from the given url using the BeautifulSoup library\n",
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" \"\"\"\n",
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" self.url = url\n",
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" response = requests.get(url, headers=headers)\n",
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" soup = BeautifulSoup(response.content, 'html.parser')\n",
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" self.title = soup.title.string if soup.title else \"No title found\"\n",
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" for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n",
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" irrelevant.decompose()\n",
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" self.text = soup.body.get_text(separator=\"\\n\", strip=True)\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": null,
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"id": "0a9cc69e-dd0f-4c48-86a2-c0c13eeac18f",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Set the system prompt\n",
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"# Asking AI to be wrong\n",
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"\n",
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"system_prompt = \"You are an improper assistant who analyses websites \\\n",
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"and provides a short summary, ignoring text that might be navigation related. \\\n",
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"your summaries will be untrue and contain hoaxes based on the current news \\\n",
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"if the website is not in English, please state what the original language is, and then translate it to English.\"\n"
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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": "f0275b1b-7cfe-4f9d-abfa-7650d378da0c",
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"metadata": {},
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"outputs": [],
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"source": [
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"# A function that writes a User Prompt that asks for summaries of websites:\n",
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"\n",
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"def user_prompt_for(website):\n",
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" user_prompt = f\"You are looking at a website titled {website.title}\"\n",
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" user_prompt += \"\\nThe contents of this website is as follows; \\\n",
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"please provide a short summary of this website in markdown. \\\n",
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"If it includes news or announcements, then summarize these too.\\n\\n\"\n",
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" user_prompt += website.text\n",
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" return user_prompt\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": null,
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"id": "0134dfa4-8299-48b5-b444-f2a8c3403c88",
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"metadata": {},
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"outputs": [],
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"source": [
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"# A function that writes the message to GPT according to the standard format.\n",
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"\n",
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"def messages_for(website):\n",
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" return [\n",
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" {\"role\": \"system\", \"content\": system_prompt},\n",
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" {\"role\": \"user\", \"content\": user_prompt_for(website)}\n",
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" ]\n"
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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": "905b9919-aba7-45b5-ae65-81b3d1d78e34",
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"metadata": {},
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"outputs": [],
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"source": [
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"# And now: call the OpenAI API. You will get very familiar with this!\n",
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"\n",
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"def summarize(url):\n",
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" website = Website(url)\n",
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" response = openai.chat.completions.create(\n",
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" model = \"gpt-4o-mini\",\n",
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" messages = messages_for(website)\n",
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" )\n",
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" return response.choices[0].message.content\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": null,
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"id": "3d926d59-450e-4609-92ba-2d6f244f1342",
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"metadata": {},
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"outputs": [],
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"source": [
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"# A function to display this nicely in the Jupyter output, using markdown\n",
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"\n",
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"def display_summary(url):\n",
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" summary = summarize(url)\n",
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" display(Markdown(summary))\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": null,
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"id": "3018853a-445f-41ff-9560-d925d1774b2f",
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"metadata": {},
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"outputs": [],
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"source": [
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"display_summary(\"https://detik.com\")\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a430d86e-01db-4ad5-a2f9-ac85e37fe9c1",
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"metadata": {},
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"source": [
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"# Please don't take this hoax creator seriously :)\n"
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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": "df8c4a6d-c370-4fe1-9d13-32db78bcbfda",
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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": "3.11.13"
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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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