{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fe8f414b",
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
    "execution": {
     "iopub.execute_input": "2025-05-23T02:52:12.234710Z",
     "iopub.status.busy": "2025-05-23T02:52:12.234441Z",
     "iopub.status.idle": "2025-05-23T02:54:12.489783Z",
     "shell.execute_reply": "2025-05-23T02:54:12.488791Z"
    },
    "papermill": {
     "duration": 120.260774,
     "end_time": "2025-05-23T02:54:12.491428",
     "exception": false,
     "start_time": "2025-05-23T02:52:12.230654",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pymupdf\r\n",
      "  Downloading pymupdf-1.26.0-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (3.4 kB)\r\n"
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      "Collecting langchain-community\r\n",
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      "Collecting chromadb\r\n",
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    },
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     "text": [
      "Collecting langchain-core<1.0.0,>=0.3.49 (from langchain)\r\n",
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    },
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      "Collecting langchain\r\n",
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    },
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      "Collecting build>=1.0.3 (from chromadb)\r\n",
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      "Collecting fastapi==0.115.9 (from chromadb)\r\n",
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    },
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     "text": [
      "Collecting uvicorn>=0.18.3 (from uvicorn[standard]>=0.18.3->chromadb)\r\n",
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      "Collecting posthog>=2.4.0 (from chromadb)\r\n",
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     "text": [
      "Collecting onnxruntime>=1.14.1 (from chromadb)\r\n",
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     "text": [
      "Collecting pypika>=0.48.9 (from chromadb)\r\n",
      "  Downloading PyPika-0.48.9.tar.gz (67 kB)\r\n",
      "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/67.3 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
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     "output_type": "stream",
     "text": [
      "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\r\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\r\n"
     ]
    },
    {
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      "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\r\n",
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      "Collecting bcrypt>=4.0.1 (from chromadb)\r\n",
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      "Collecting kubernetes>=28.1.0 (from chromadb)\r\n",
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      "Collecting mmh3>=4.0.1 (from chromadb)\r\n"
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      "  Downloading mmh3-5.1.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (16 kB)\r\n",
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      "Collecting starlette<0.46.0,>=0.40.0 (from fastapi==0.115.9->chromadb)\r\n",
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      "Collecting nvidia-cusolver-cu12==11.6.1.9 (from torch)\r\n"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m101.1/363.4 MB\u001b[0m \u001b[31m68.6 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m103.7/363.4 MB\u001b[0m \u001b[31m72.1 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m106.3/363.4 MB\u001b[0m \u001b[31m74.4 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m108.8/363.4 MB\u001b[0m \u001b[31m74.3 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m114.0/363.4 MB\u001b[0m \u001b[31m74.2 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.6/363.4 MB\u001b[0m \u001b[31m74.2 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m119.2/363.4 MB\u001b[0m \u001b[31m74.5 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m148.3/363.4 MB\u001b[0m \u001b[31m78.6 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m151.2/363.4 MB\u001b[0m \u001b[31m80.6 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m157.0/363.4 MB\u001b[0m \u001b[31m83.0 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m159.9/363.4 MB\u001b[0m \u001b[31m83.1 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m162.7/363.4 MB\u001b[0m \u001b[31m82.9 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m168.6/363.4 MB\u001b[0m \u001b[31m82.8 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m171.5/363.4 MB\u001b[0m \u001b[31m83.5 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m177.3/363.4 MB\u001b[0m \u001b[31m83.5 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m180.2/363.4 MB\u001b[0m \u001b[31m83.7 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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     "output_type": "stream",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m186.1/363.4 MB\u001b[0m \u001b[31m83.6 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m189.1/363.4 MB\u001b[0m \u001b[31m83.9 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m195.1/363.4 MB\u001b[0m \u001b[31m85.1 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m204.7/363.4 MB\u001b[0m \u001b[31m92.5 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m207.9/363.4 MB\u001b[0m \u001b[31m93.0 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.1/363.4 MB\u001b[0m \u001b[31m91.3 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m270.6/363.4 MB\u001b[0m \u001b[31m102.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━\u001b[0m \u001b[32m274.1/363.4 MB\u001b[0m \u001b[31m101.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━\u001b[0m \u001b[32m281.2/363.4 MB\u001b[0m \u001b[31m101.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m284.8/363.4 MB\u001b[0m \u001b[31m101.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━\u001b[0m \u001b[32m291.9/363.4 MB\u001b[0m \u001b[31m100.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━\u001b[0m \u001b[32m295.5/363.4 MB\u001b[0m \u001b[31m101.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━\u001b[0m \u001b[32m299.0/363.4 MB\u001b[0m \u001b[31m101.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━\u001b[0m \u001b[32m306.1/363.4 MB\u001b[0m \u001b[31m101.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━\u001b[0m \u001b[32m309.5/363.4 MB\u001b[0m \u001b[31m100.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━\u001b[0m \u001b[32m316.8/363.4 MB\u001b[0m \u001b[31m102.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━\u001b[0m \u001b[32m320.6/363.4 MB\u001b[0m \u001b[31m106.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m328.3/363.4 MB\u001b[0m \u001b[31m109.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m332.2/363.4 MB\u001b[0m \u001b[31m110.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\u001b[?25hDownloading nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl (664.8 MB)\r\n",
      "\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/664.8 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m65.6/664.8 MB\u001b[0m \u001b[31m64.9 MB/s\u001b[0m eta \u001b[36m0:00:10\u001b[0m\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m161.2/664.8 MB\u001b[0m \u001b[31m83.5 MB/s\u001b[0m eta \u001b[36m0:00:07\u001b[0m"
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m167.7/664.8 MB\u001b[0m \u001b[31m68.5 MB/s\u001b[0m eta \u001b[36m0:00:08\u001b[0m"
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m213.5/664.8 MB\u001b[0m \u001b[31m70.6 MB/s\u001b[0m eta \u001b[36m0:00:07\u001b[0m\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m220.9/664.8 MB\u001b[0m \u001b[31m71.6 MB/s\u001b[0m eta \u001b[36m0:00:07\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m226.1/664.8 MB\u001b[0m \u001b[31m74.1 MB/s\u001b[0m eta \u001b[36m0:00:06\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m228.6/664.8 MB\u001b[0m \u001b[31m74.2 MB/s\u001b[0m eta \u001b[36m0:00:06\u001b[0m"
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m236.4/664.8 MB\u001b[0m \u001b[31m74.3 MB/s\u001b[0m eta \u001b[36m0:00:06\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m238.9/664.8 MB\u001b[0m \u001b[31m74.4 MB/s\u001b[0m eta \u001b[36m0:00:06\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m244.1/664.8 MB\u001b[0m \u001b[31m74.6 MB/s\u001b[0m eta \u001b[36m0:00:06\u001b[0m"
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m251.9/664.8 MB\u001b[0m \u001b[31m74.9 MB/s\u001b[0m eta \u001b[36m0:00:06\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m254.6/664.8 MB\u001b[0m \u001b[31m75.3 MB/s\u001b[0m eta \u001b[36m0:00:06\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m260.3/664.8 MB\u001b[0m \u001b[31m79.7 MB/s\u001b[0m eta \u001b[36m0:00:06\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m263.1/664.8 MB\u001b[0m \u001b[31m81.0 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m271.8/664.8 MB\u001b[0m \u001b[31m83.0 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m274.7/664.8 MB\u001b[0m \u001b[31m82.8 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m280.4/664.8 MB\u001b[0m \u001b[31m81.6 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m"
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m297.9/664.8 MB\u001b[0m \u001b[31m83.2 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m300.8/664.8 MB\u001b[0m \u001b[31m83.5 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m306.7/664.8 MB\u001b[0m \u001b[31m83.6 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m309.9/664.8 MB\u001b[0m \u001b[31m85.4 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m316.4/664.8 MB\u001b[0m \u001b[31m91.8 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m319.6/664.8 MB\u001b[0m \u001b[31m91.4 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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     "output_type": "stream",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m322.8/664.8 MB\u001b[0m \u001b[31m91.5 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m329.3/664.8 MB\u001b[0m \u001b[31m92.6 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m332.5/664.8 MB\u001b[0m \u001b[31m93.0 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m338.9/664.8 MB\u001b[0m \u001b[31m91.9 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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     "output_type": "stream",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m342.2/664.8 MB\u001b[0m \u001b[31m92.3 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m348.6/664.8 MB\u001b[0m \u001b[31m92.5 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m351.9/664.8 MB\u001b[0m \u001b[31m93.1 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m358.4/664.8 MB\u001b[0m \u001b[31m93.4 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m361.6/664.8 MB\u001b[0m \u001b[31m93.6 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m365.0/664.8 MB\u001b[0m \u001b[31m94.0 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m386.3/664.8 MB\u001b[0m \u001b[31m101.5 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m393.4/664.8 MB\u001b[0m \u001b[31m101.9 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━\u001b[0m \u001b[32m411.2/664.8 MB\u001b[0m \u001b[31m102.0 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━\u001b[0m \u001b[32m418.3/664.8 MB\u001b[0m \u001b[31m101.8 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━\u001b[0m \u001b[32m421.9/664.8 MB\u001b[0m \u001b[31m101.9 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━\u001b[0m \u001b[32m429.1/664.8 MB\u001b[0m \u001b[31m102.6 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m432.9/664.8 MB\u001b[0m \u001b[31m106.6 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m440.6/664.8 MB\u001b[0m \u001b[31m110.6 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m444.4/664.8 MB\u001b[0m \u001b[31m109.5 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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     "output_type": "stream",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━\u001b[0m \u001b[32m452.1/664.8 MB\u001b[0m \u001b[31m110.0 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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     "output_type": "stream",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━\u001b[0m \u001b[32m455.9/664.8 MB\u001b[0m \u001b[31m110.1 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━\u001b[0m \u001b[32m463.8/664.8 MB\u001b[0m \u001b[31m111.1 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━\u001b[0m \u001b[32m467.7/664.8 MB\u001b[0m \u001b[31m111.5 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━\u001b[0m \u001b[32m471.4/664.8 MB\u001b[0m \u001b[31m110.4 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━\u001b[0m \u001b[32m475.4/664.8 MB\u001b[0m \u001b[31m110.2 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━\u001b[0m \u001b[32m479.3/664.8 MB\u001b[0m \u001b[31m110.5 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m483.1/664.8 MB\u001b[0m \u001b[31m111.0 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m491.0/664.8 MB\u001b[0m \u001b[31m111.0 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m494.9/664.8 MB\u001b[0m \u001b[31m111.7 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━\u001b[0m \u001b[32m503.1/664.8 MB\u001b[0m \u001b[31m116.7 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━\u001b[0m \u001b[32m507.2/664.8 MB\u001b[0m \u001b[31m117.9 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m515.5/664.8 MB\u001b[0m \u001b[31m118.2 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m519.5/664.8 MB\u001b[0m \u001b[31m116.7 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m523.6/664.8 MB\u001b[0m \u001b[31m117.2 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━\u001b[0m \u001b[32m536.2/664.8 MB\u001b[0m \u001b[31m119.2 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━\u001b[0m \u001b[32m544.5/664.8 MB\u001b[0m \u001b[31m118.1 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━\u001b[0m \u001b[32m548.6/664.8 MB\u001b[0m \u001b[31m118.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━\u001b[0m \u001b[32m556.9/664.8 MB\u001b[0m \u001b[31m119.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━\u001b[0m \u001b[32m561.1/664.8 MB\u001b[0m \u001b[31m120.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━\u001b[0m \u001b[32m569.5/664.8 MB\u001b[0m \u001b[31m120.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━\u001b[0m \u001b[32m573.1/664.8 MB\u001b[0m \u001b[31m122.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━\u001b[0m \u001b[32m576.8/664.8 MB\u001b[0m \u001b[31m108.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━\u001b[0m \u001b[32m582.7/664.8 MB\u001b[0m \u001b[31m88.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━\u001b[0m \u001b[32m585.9/664.8 MB\u001b[0m \u001b[31m85.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━\u001b[0m \u001b[32m592.4/664.8 MB\u001b[0m \u001b[31m92.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━\u001b[0m \u001b[32m595.6/664.8 MB\u001b[0m \u001b[31m93.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m602.1/664.8 MB\u001b[0m \u001b[31m92.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m605.3/664.8 MB\u001b[0m \u001b[31m91.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
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      "\r",
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m100.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[?25h"
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      "Downloading nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl (211.5 MB)\r\n",
      "\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/211.5 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m42.4/211.5 MB\u001b[0m \u001b[31m99.1 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m100.5/211.5 MB\u001b[0m \u001b[31m57.9 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m106.4/211.5 MB\u001b[0m \u001b[31m53.9 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m109.3/211.5 MB\u001b[0m \u001b[31m50.4 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m110.6/211.5 MB\u001b[0m \u001b[31m47.4 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.0/211.5 MB\u001b[0m \u001b[31m39.7 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m118.0/211.5 MB\u001b[0m \u001b[31m35.6 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m119.0/211.5 MB\u001b[0m \u001b[31m34.3 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m121.3/211.5 MB\u001b[0m \u001b[31m33.1 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m122.3/211.5 MB\u001b[0m \u001b[31m32.3 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m124.6/211.5 MB\u001b[0m \u001b[31m30.9 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m125.8/211.5 MB\u001b[0m \u001b[31m31.1 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━\u001b[0m \u001b[32m133.3/211.5 MB\u001b[0m \u001b[31m34.4 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.6/211.5 MB\u001b[0m \u001b[31m35.1 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m138.5/211.5 MB\u001b[0m \u001b[31m36.8 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m142.4/211.5 MB\u001b[0m \u001b[31m36.7 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━\u001b[0m \u001b[32m143.7/211.5 MB\u001b[0m \u001b[31m36.5 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━\u001b[0m \u001b[32m146.3/211.5 MB\u001b[0m \u001b[31m36.6 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━\u001b[0m \u001b[32m147.7/211.5 MB\u001b[0m \u001b[31m37.1 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━\u001b[0m \u001b[32m150.7/211.5 MB\u001b[0m \u001b[31m38.3 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━\u001b[0m \u001b[32m152.1/211.5 MB\u001b[0m \u001b[31m39.3 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m155.3/211.5 MB\u001b[0m \u001b[31m41.7 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m157.0/211.5 MB\u001b[0m \u001b[31m43.0 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m158.6/211.5 MB\u001b[0m \u001b[31m44.0 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━\u001b[0m \u001b[32m161.8/211.5 MB\u001b[0m \u001b[31m45.4 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━\u001b[0m \u001b[32m163.5/211.5 MB\u001b[0m \u001b[31m46.0 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m166.7/211.5 MB\u001b[0m \u001b[31m46.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m55.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m55.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m55.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m55.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m55.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m55.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m55.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25hDownloading nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl (56.3 MB)\r\n",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\u001b[?25hDownloading nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl (127.9 MB)\r\n",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m64.8/127.9 MB\u001b[0m \u001b[31m44.2 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m68.1/127.9 MB\u001b[0m \u001b[31m46.0 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m69.7/127.9 MB\u001b[0m \u001b[31m46.3 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m72.9/127.9 MB\u001b[0m \u001b[31m46.2 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m74.5/127.9 MB\u001b[0m \u001b[31m46.1 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━\u001b[0m \u001b[32m79.3/127.9 MB\u001b[0m \u001b[31m46.2 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━\u001b[0m \u001b[32m81.0/127.9 MB\u001b[0m \u001b[31m46.2 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m84.2/127.9 MB\u001b[0m \u001b[31m46.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m85.8/127.9 MB\u001b[0m \u001b[31m46.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m95.0/127.9 MB\u001b[0m \u001b[31m51.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━\u001b[0m \u001b[32m96.9/127.9 MB\u001b[0m \u001b[31m53.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m100.8/127.9 MB\u001b[0m \u001b[31m55.0 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m102.3/127.9 MB\u001b[0m \u001b[31m52.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━\u001b[0m \u001b[32m104.1/127.9 MB\u001b[0m \u001b[31m52.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━\u001b[0m \u001b[32m107.5/127.9 MB\u001b[0m \u001b[31m49.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━\u001b[0m \u001b[32m109.2/127.9 MB\u001b[0m \u001b[31m48.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━\u001b[0m \u001b[32m111.8/127.9 MB\u001b[0m \u001b[31m44.0 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━\u001b[0m \u001b[32m113.1/127.9 MB\u001b[0m \u001b[31m43.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m115.8/127.9 MB\u001b[0m \u001b[31m40.0 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m117.3/127.9 MB\u001b[0m \u001b[31m38.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━\u001b[0m \u001b[32m120.2/127.9 MB\u001b[0m \u001b[31m39.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[?25h"
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      "Downloading nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl (207.5 MB)\r\n",
      "\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/207.5 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.2/207.5 MB\u001b[0m \u001b[31m46.4 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.8/207.5 MB\u001b[0m \u001b[31m46.1 MB/s\u001b[0m eta \u001b[36m0:00:05\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24.5/207.5 MB\u001b[0m \u001b[31m48.2 MB/s\u001b[0m eta \u001b[36m0:00:04\u001b[0m"
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m64.1/207.5 MB\u001b[0m \u001b[31m60.7 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m68.5/207.5 MB\u001b[0m \u001b[31m64.0 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m70.8/207.5 MB\u001b[0m \u001b[31m64.3 MB/s\u001b[0m eta \u001b[36m0:00:03\u001b[0m"
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m79.8/207.5 MB\u001b[0m \u001b[31m64.9 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.3/207.5 MB\u001b[0m \u001b[31m64.8 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.5/207.5 MB\u001b[0m \u001b[31m64.7 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m91.1/207.5 MB\u001b[0m \u001b[31m64.8 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m93.4/207.5 MB\u001b[0m \u001b[31m64.7 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m97.9/207.5 MB\u001b[0m \u001b[31m65.3 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m100.4/207.5 MB\u001b[0m \u001b[31m67.1 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m105.5/207.5 MB\u001b[0m \u001b[31m70.9 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.8/207.5 MB\u001b[0m \u001b[31m74.4 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m118.4/207.5 MB\u001b[0m \u001b[31m74.2 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━\u001b[0m \u001b[32m131.3/207.5 MB\u001b[0m \u001b[31m74.0 MB/s\u001b[0m eta \u001b[36m0:00:02\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━\u001b[0m \u001b[32m133.8/207.5 MB\u001b[0m \u001b[31m74.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m139.1/207.5 MB\u001b[0m \u001b[31m74.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━\u001b[0m \u001b[32m141.7/207.5 MB\u001b[0m \u001b[31m74.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━\u001b[0m \u001b[32m144.3/207.5 MB\u001b[0m \u001b[31m75.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━\u001b[0m \u001b[32m149.9/207.5 MB\u001b[0m \u001b[31m78.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m152.8/207.5 MB\u001b[0m \u001b[31m79.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━\u001b[0m \u001b[32m158.6/207.5 MB\u001b[0m \u001b[31m82.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m161.5/207.5 MB\u001b[0m \u001b[31m82.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━\u001b[0m \u001b[32m167.2/207.5 MB\u001b[0m \u001b[31m82.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━\u001b[0m \u001b[32m170.1/207.5 MB\u001b[0m \u001b[31m82.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━\u001b[0m \u001b[32m175.8/207.5 MB\u001b[0m \u001b[31m82.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━\u001b[0m \u001b[32m178.7/207.5 MB\u001b[0m \u001b[31m82.8 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m207.5/207.5 MB\u001b[0m \u001b[31m89.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m207.5/207.5 MB\u001b[0m \u001b[31m89.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m207.5/207.5 MB\u001b[0m \u001b[31m89.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\r",
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      "\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m207.5/207.5 MB\u001b[0m \u001b[31m89.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m"
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      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m6.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n",
      "\u001b[?25h"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building wheels for collected packages: pypika\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Building wheel for pypika (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\r\n",
      "  Created wheel for pypika: filename=pypika-0.48.9-py2.py3-none-any.whl size=53801 sha256=16f531015bc1e13cdf4e63b3f4d64e56fe9fcde5b420b870adbe9722c7db2e2b\r\n",
      "  Stored in directory: /root/.cache/pip/wheels/a3/01/bd/4c40ceb9d5354160cb186dcc153360f4ab7eb23e2b24daf96d\r\n",
      "Successfully built pypika\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Installing collected packages: pypika, durationpy, uvloop, uvicorn, python-dotenv, pyproject_hooks, pymupdf, protobuf, packaging, opentelemetry-util-http, nvidia-nvjitlink-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cublas-cu12, mmh3, importlib-metadata, humanfriendly, httpx-sse, httptools, bcrypt, backoff, asgiref, watchfiles, starlette, posthog, opentelemetry-proto, opentelemetry-api, nvidia-cusparse-cu12, nvidia-cudnn-cu12, coloredlogs, build, pydantic-settings, opentelemetry-semantic-conventions, opentelemetry-exporter-otlp-proto-common, nvidia-cusolver-cu12, kubernetes, fastapi, opentelemetry-sdk, opentelemetry-instrumentation, langchain-core, opentelemetry-instrumentation-asgi, opentelemetry-exporter-otlp-proto-grpc, langchain-text-splitters, opentelemetry-instrumentation-fastapi, langchain, onnxruntime, langchain-community, chromadb\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: protobuf\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: protobuf 3.20.3\r\n",
      "    Uninstalling protobuf-3.20.3:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled protobuf-3.20.3\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: packaging\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: packaging 25.0\r\n",
      "    Uninstalling packaging-25.0:\r\n",
      "      Successfully uninstalled packaging-25.0\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: nvidia-nvjitlink-cu12\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: nvidia-nvjitlink-cu12 12.9.41\r\n",
      "    Uninstalling nvidia-nvjitlink-cu12-12.9.41:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled nvidia-nvjitlink-cu12-12.9.41\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: nvidia-curand-cu12\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: nvidia-curand-cu12 10.3.10.19\r\n",
      "    Uninstalling nvidia-curand-cu12-10.3.10.19:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled nvidia-curand-cu12-10.3.10.19\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: nvidia-cufft-cu12\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: nvidia-cufft-cu12 11.4.0.6\r\n",
      "    Uninstalling nvidia-cufft-cu12-11.4.0.6:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled nvidia-cufft-cu12-11.4.0.6\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: nvidia-cublas-cu12\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: nvidia-cublas-cu12 12.9.0.13\r\n",
      "    Uninstalling nvidia-cublas-cu12-12.9.0.13:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled nvidia-cublas-cu12-12.9.0.13\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: importlib-metadata\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: importlib_metadata 8.7.0\r\n",
      "    Uninstalling importlib_metadata-8.7.0:\r\n",
      "      Successfully uninstalled importlib_metadata-8.7.0\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: opentelemetry-api\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: opentelemetry-api 1.31.1\r\n",
      "    Uninstalling opentelemetry-api-1.31.1:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled opentelemetry-api-1.31.1\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: nvidia-cusparse-cu12\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: nvidia-cusparse-cu12 12.5.9.5\r\n",
      "    Uninstalling nvidia-cusparse-cu12-12.5.9.5:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled nvidia-cusparse-cu12-12.5.9.5\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: nvidia-cudnn-cu12\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: nvidia-cudnn-cu12 9.3.0.75\r\n",
      "    Uninstalling nvidia-cudnn-cu12-9.3.0.75:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled nvidia-cudnn-cu12-9.3.0.75\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: opentelemetry-semantic-conventions\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: opentelemetry-semantic-conventions 0.52b1\r\n",
      "    Uninstalling opentelemetry-semantic-conventions-0.52b1:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled opentelemetry-semantic-conventions-0.52b1\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: nvidia-cusolver-cu12\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: nvidia-cusolver-cu12 11.7.4.40\r\n",
      "    Uninstalling nvidia-cusolver-cu12-11.7.4.40:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled nvidia-cusolver-cu12-11.7.4.40\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: opentelemetry-sdk\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: opentelemetry-sdk 1.31.1\r\n",
      "    Uninstalling opentelemetry-sdk-1.31.1:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled opentelemetry-sdk-1.31.1\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: langchain-core\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: langchain-core 0.3.50\r\n",
      "    Uninstalling langchain-core-0.3.50:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled langchain-core-0.3.50\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: langchain-text-splitters\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: langchain-text-splitters 0.3.7\r\n",
      "    Uninstalling langchain-text-splitters-0.3.7:\r\n",
      "      Successfully uninstalled langchain-text-splitters-0.3.7\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Attempting uninstall: langchain\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Found existing installation: langchain 0.3.22\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Uninstalling langchain-0.3.22:\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Successfully uninstalled langchain-0.3.22\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\r\n",
      "google-api-core 1.34.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<4.0.0dev,>=3.19.5, but you have protobuf 5.29.4 which is incompatible.\r\n",
      "datasets 3.6.0 requires fsspec[http]<=2025.3.0,>=2023.1.0, but you have fsspec 2025.3.2 which is incompatible.\r\n",
      "google-cloud-translate 3.12.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.29.4 which is incompatible.\r\n",
      "cesium 0.12.4 requires numpy<3.0,>=2.0, but you have numpy 1.26.4 which is incompatible.\r\n",
      "bigframes 1.42.0 requires rich<14,>=12.4.4, but you have rich 14.0.0 which is incompatible.\r\n",
      "google-spark-connect 0.5.2 requires google-api-core>=2.19.1, but you have google-api-core 1.34.1 which is incompatible.\r\n",
      "google-cloud-bigtable 2.30.0 requires google-api-core[grpc]<3.0.0,>=2.16.0, but you have google-api-core 1.34.1 which is incompatible.\r\n",
      "google-cloud-storage 2.19.0 requires google-api-core<3.0.0dev,>=2.15.0, but you have google-api-core 1.34.1 which is incompatible.\r\n",
      "plotnine 0.14.5 requires matplotlib>=3.8.0, but you have matplotlib 3.7.2 which is incompatible.\r\n",
      "pandas-gbq 0.28.0 requires google-api-core<3.0.0dev,>=2.10.2, but you have google-api-core 1.34.1 which is incompatible.\r\n",
      "mlxtend 0.23.4 requires scikit-learn>=1.3.1, but you have scikit-learn 1.2.2 which is incompatible.\u001b[0m\u001b[31m\r\n",
      "\u001b[0mSuccessfully installed asgiref-3.8.1 backoff-2.2.1 bcrypt-4.3.0 build-1.2.2.post1 chromadb-1.0.10 coloredlogs-15.0.1 durationpy-0.10 fastapi-0.115.9 httptools-0.6.4 httpx-sse-0.4.0 humanfriendly-10.0 importlib-metadata-8.6.1 kubernetes-32.0.1 langchain-0.3.25 langchain-community-0.3.24 langchain-core-0.3.61 langchain-text-splitters-0.3.8 mmh3-5.1.0 nvidia-cublas-cu12-12.4.5.8 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127 onnxruntime-1.22.0 opentelemetry-api-1.33.1 opentelemetry-exporter-otlp-proto-common-1.33.1 opentelemetry-exporter-otlp-proto-grpc-1.33.1 opentelemetry-instrumentation-0.54b1 opentelemetry-instrumentation-asgi-0.54b1 opentelemetry-instrumentation-fastapi-0.54b1 opentelemetry-proto-1.33.1 opentelemetry-sdk-1.33.1 opentelemetry-semantic-conventions-0.54b1 opentelemetry-util-http-0.54b1 packaging-24.2 posthog-4.1.0 protobuf-5.29.4 pydantic-settings-2.9.1 pymupdf-1.26.0 pypika-0.48.9 pyproject_hooks-1.2.0 python-dotenv-1.1.0 starlette-0.45.3 uvicorn-0.34.2 uvloop-0.21.0 watchfiles-1.0.5\r\n"
     ]
    }
   ],
   "source": [
    "!pip install pymupdf langchain sentence_transformers langchain-community chromadb transformers torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0a173ad3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-23T02:54:12.565133Z",
     "iopub.status.busy": "2025-05-23T02:54:12.564510Z",
     "iopub.status.idle": "2025-05-23T02:54:41.679208Z",
     "shell.execute_reply": "2025-05-23T02:54:41.678561Z"
    },
    "papermill": {
     "duration": 29.15317,
     "end_time": "2025-05-23T02:54:41.680612",
     "exception": false,
     "start_time": "2025-05-23T02:54:12.527442",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-05-23 02:54:27.822978: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "E0000 00:00:1747968868.022669      19 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "E0000 00:00:1747968868.076992      19 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n"
     ]
    }
   ],
   "source": [
    "import fitz  # PyMuPDF\n",
    "import os\n",
    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "from langchain.embeddings import HuggingFaceEmbeddings\n",
    "from langchain.vectorstores import Chroma\n",
    "from langchain.schema import Document\n",
    "from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline\n",
    "from langchain.llms import HuggingFacePipeline\n",
    "from langchain.prompts import PromptTemplate\n",
    "from langchain_core.output_parsers import StrOutputParser\n",
    "from langchain.chains import LLMChain\n",
    "from langchain_core.runnables import RunnablePassthrough\n",
    "from langchain.schema.runnable import RunnableLambda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "25c1b526",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-23T02:54:41.819485Z",
     "iopub.status.busy": "2025-05-23T02:54:41.818507Z",
     "iopub.status.idle": "2025-05-23T02:54:43.672367Z",
     "shell.execute_reply": "2025-05-23T02:54:43.671521Z"
    },
    "papermill": {
     "duration": 1.956549,
     "end_time": "2025-05-23T02:54:43.673867",
     "exception": false,
     "start_time": "2025-05-23T02:54:41.717318",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# PDF text extraction\n",
    "def extract_text_from_pdfs(folder_path):\n",
    "    all_text = \"\"\n",
    "    for file in os.listdir(folder_path):\n",
    "        if file.endswith(\".pdf\"):\n",
    "            pdf_path = os.path.join(folder_path, file)\n",
    "            doc = fitz.open(pdf_path)\n",
    "            for page in doc:\n",
    "                all_text += page.get_text() + \"\\n\"\n",
    "    return all_text\n",
    "\n",
    "folder_path = \"/kaggle/input/mergeddata\"\n",
    "text = extract_text_from_pdfs(folder_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bb9bac72",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-23T02:54:43.763892Z",
     "iopub.status.busy": "2025-05-23T02:54:43.763247Z",
     "iopub.status.idle": "2025-05-23T02:54:43.779816Z",
     "shell.execute_reply": "2025-05-23T02:54:43.779137Z"
    },
    "papermill": {
     "duration": 0.05987,
     "end_time": "2025-05-23T02:54:43.781035",
     "exception": false,
     "start_time": "2025-05-23T02:54:43.721165",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Text splitting\n",
    "text_splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=50)\n",
    "text_chunks = text_splitter.split_text(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "288afb99",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-23T02:54:43.881782Z",
     "iopub.status.busy": "2025-05-23T02:54:43.881187Z",
     "iopub.status.idle": "2025-05-23T02:54:54.830268Z",
     "shell.execute_reply": "2025-05-23T02:54:54.829568Z"
    },
    "papermill": {
     "duration": 10.99997,
     "end_time": "2025-05-23T02:54:54.831589",
     "exception": false,
     "start_time": "2025-05-23T02:54:43.831619",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_19/764143404.py:2: LangChainDeprecationWarning: The class `HuggingFaceEmbeddings` was deprecated in LangChain 0.2.2 and will be removed in 1.0. An updated version of the class exists in the :class:`~langchain-huggingface package and should be used instead. To use it run `pip install -U :class:`~langchain-huggingface` and import as `from :class:`~langchain_huggingface import HuggingFaceEmbeddings``.\n",
      "  embeddings_model = HuggingFaceEmbeddings(model_name=\"BAAI/bge-base-en-v1.5\")\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a6b193e4ea0743159251f9fe3732944e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "modules.json:   0%|          | 0.00/349 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0bd028146abe4a85bab63df96f9b5180",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "config_sentence_transformers.json:   0%|          | 0.00/124 [00:00<?, ?B/s]"
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    {
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       "special_tokens_map.json:   0%|          | 0.00/125 [00:00<?, ?B/s]"
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     "metadata": {},
     "output_type": "display_data"
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    {
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     },
     "metadata": {},
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   ],
   "source": [
    "# Embeddings and documents\n",
    "embeddings_model = HuggingFaceEmbeddings(model_name=\"BAAI/bge-base-en-v1.5\")\n",
    "documents = [Document(page_content=chunk) for chunk in text_chunks]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b8dbd569",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-23T02:54:54.909360Z",
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     "status": "completed"
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   "source": [
    "# Store in Chroma database\n",
    "db = Chroma.from_documents(documents, embeddings_model, persist_directory=\"chroma_store\")\n",
    "retriever = db.as_retriever(search_type=\"similarity\", search_kwargs={\"k\": 3})"
   ]
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       "vocab.json:   0%|          | 0.00/2.78M [00:00<?, ?B/s]"
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    {
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     "metadata": {},
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e51dcd2b85c148f1a44b9aeabb07f86a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "generation_config.json:   0%|          | 0.00/242 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Device set to use cuda:0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_19/1615629649.py:13: LangChainDeprecationWarning: The class `HuggingFacePipeline` was deprecated in LangChain 0.0.37 and will be removed in 1.0. An updated version of the class exists in the :class:`~langchain-huggingface package and should be used instead. To use it run `pip install -U :class:`~langchain-huggingface` and import as `from :class:`~langchain_huggingface import HuggingFacePipeline``.\n",
      "  llm = HuggingFacePipeline(pipeline=text_generation_pipeline)\n"
     ]
    }
   ],
   "source": [
    "# Language model pipeline\n",
    "tokenizer = AutoTokenizer.from_pretrained(\"Qwen/Qwen2.5-1.5B-Instruct\")\n",
    "model = AutoModelForCausalLM.from_pretrained(\"Qwen/Qwen2.5-1.5B-Instruct\")\n",
    "\n",
    "text_generation_pipeline = pipeline(\n",
    "    model=model,\n",
    "    tokenizer=tokenizer,\n",
    "    task=\"text-generation\",\n",
    "    temperature=0.2,\n",
    "    max_new_tokens=700,\n",
    "    device=0\n",
    ")\n",
    "llm = HuggingFacePipeline(pipeline=text_generation_pipeline)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bad2a18f",
   "metadata": {
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_19/2393925792.py:22: LangChainDeprecationWarning: The class `LLMChain` was deprecated in LangChain 0.1.17 and will be removed in 1.0. Use :meth:`~RunnableSequence, e.g., `prompt | llm`` instead.\n",
      "  llm_chain = LLMChain(prompt=prompt, llm=llm, output_parser=StrOutputParser())\n"
     ]
    }
   ],
   "source": [
    "# Context header\n",
    "STATIC_CONTEXT_HEADER = \"Use only the academic documents provided. Do not use external knowledge.\"\n",
    "\n",
    "# Updated prompt template\n",
    "prompt_template = \"\"\"\n",
    "<|system|>\n",
    "You are a robust AI assistant trained only to answer based on provided context.\n",
    "You must quote or directly cite the context in your answer.\n",
    "If the answer cannot be found in the context or quoted, respond with:\n",
    "\\\"Sorry, I can't answer that based on the provided documents.\\\"\n",
    "\n",
    "Context:\n",
    "{context}\n",
    "</s>\n",
    "<|user|>\n",
    "{question}\n",
    "</s>\n",
    "<|assistant|>\n",
    "\"\"\"\n",
    "prompt = PromptTemplate(input_variables=[\"context\", \"question\"], template=prompt_template)\n",
    "\n",
    "llm_chain = LLMChain(prompt=prompt, llm=llm, output_parser=StrOutputParser())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "17a877d8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-23T02:56:09.879114Z",
     "iopub.status.busy": "2025-05-23T02:56:09.878491Z",
     "iopub.status.idle": "2025-05-23T02:56:09.883433Z",
     "shell.execute_reply": "2025-05-23T02:56:09.882676Z"
    },
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def safe_context_retrieval(question):\n",
    "    docs = retriever.get_relevant_documents(question)\n",
    "    if not docs:\n",
    "        return {\"context\": \"Sorry, I can't answer that based on the provided documents.\", \"question\": question}\n",
    "\n",
    "    context_body = \"\\n\".join([doc.page_content for doc in docs])\n",
    "\n",
    "    if len(context_body.strip()) < 100:\n",
    "        return {\"context\": \"Sorry, I can't answer that based on the provided documents.\", \"question\": question}\n",
    "\n",
    "    full_context = f\"{STATIC_CONTEXT_HEADER}\\n\\n{context_body}\"\n",
    "    return {\"context\": full_context, \"question\": question}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "aa5321aa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-23T02:56:09.961538Z",
     "iopub.status.busy": "2025-05-23T02:56:09.961241Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# RAG chain with strict retrieval\n",
    "rag_chain = RunnableLambda(safe_context_retrieval) | llm_chain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "348ab24d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-23T02:42:46.775746Z",
     "iopub.status.busy": "2025-05-23T02:42:46.775575Z",
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     "status": "running"
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    "tags": []
   },
   "outputs": [],
   "source": [
    "# install the related objects to run the model locally\n",
    "from transformers import AutoTokenizer, AutoModelForCausalLM\n",
    "from langchain.embeddings import HuggingFaceEmbeddings\n",
    "import shutil, os\n",
    "\n",
    "# Model names\n",
    "MODEL_NAME = \"Qwen/Qwen2.5-1.5B-Instruct\"\n",
    "EMBED_MODEL = \"BAAI/bge-base-en-v1.5\"\n",
    "CHROMA_DIR = \"chroma_store\"\n",
    "\n",
    "\n",
    "\n",
    "# Download embedding model\n",
    "embeddings = HuggingFaceEmbeddings(model_name=EMBED_MODEL)\n",
    "embeddings.client.save(\"local_embedding\")\n",
    "\n",
    "# Zip everything\n",
    "shutil.make_archive(\"assistant_assets_final\", 'zip', '.', base_dir=None, logger=None)\n",
    "\n",
    "# You now have: rag_assets.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "34f2e869",
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   "source": []
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