rag_llamaindex_librarian (2).ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jizLXa2UiZXB"
      },
      "source": [
        "# Building A RAG Ebook \"Librarian\" Using LlamaIndex\n",
        "\n",
        "_Authored by: [Jonathan Jin](https://huggingface.co/jinnovation)_"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "no2qcBDliZXD"
      },
      "source": [
        "## Introduction\n",
        "\n",
        "This notebook demonstrates how to quickly build a RAG-based \"librarian\" for your\n",
        "local ebook library.\n",
        "\n",
        "Think about the last time you visited a library and took advantage of the\n",
        "expertise of the knowledgeable staff there to help you find what you need out of\n",
        "the troves of textbooks, novels, and other resources at the library. Our RAG\n",
        "\"librarian\" will do the same for us, except for our own local collection of\n",
        "ebooks.\n",
        "\n",
        "## Requirements\n",
        "\n",
        "We'd like our librarian to be **lightweight** and **run locally as much as\n",
        "possible** with **minimal dependencies**. This means that we will leverage\n",
        "open-source to the fullest extent possible, as well as bias towards models that\n",
        "can be **executed locally on typical hardware, e.g. M1 Macbooks**.\n",
        "\n",
        "## Components\n",
        "\n",
        "Our solution will consist of the following components:\n",
        "\n",
        "- [LlamaIndex], a data framework for LLM-based applications that's, unlike\n",
        "  [LangChain], designed specifically for RAG;\n",
        "- [Ollama], a user-friendly solution for running LLMs such as Llama 2 locally;\n",
        "- The [`BAAI/bge-base-en-v1.5`](https://huggingface.co/BAAI/bge-base-en-v1.5)\n",
        "  embedding model, which performs [reasonably well and is reasonably lightweight\n",
        "  in size](https://huggingface.co/spaces/mteb/leaderboard);\n",
        "- [Llama 2], which we'll run via [Ollama].\n",
        "\n",
        "[LlamaIndex]: https://docs.llamaindex.ai/en/stable/index.html\n",
        "[LangChain]: https://python.langchain.com/docs/get_started/introduction\n",
        "[Ollama]: https://ollama.com/\n",
        "[Llama 2]: https://ollama.com/library/llama2"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ECQbEe5eiZXE"
      },
      "source": [
        "## Dependencies\n",
        "\n",
        "First let's install our dependencies."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YDtB4EAAiZXF",
        "outputId": "3e2e749c-63ca-4428-84df-b6f0a1138c5d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.5/115.5 kB\u001b[0m \u001b[31m10.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m63.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.6/49.6 kB\u001b[0m \u001b[31m4.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for EbookLib (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for html2text (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ],
      "source": [
        "%pip install -q \\\n",
        "    llama-index \\\n",
        "    EbookLib \\\n",
        "    html2text \\\n",
        "    llama-index-embeddings-huggingface \\\n",
        "    llama-index-llms-ollama"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v_x4i1hdiZXF"
      },
      "source": [
        "## Ollama installation\n",
        "\n",
        "These dependencies help properly detect the GPU."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q5t9Qgl5iZXF",
        "outputId": "10a19731-b70c-457d-8bdf-5492a5089127"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "The following additional packages will be installed:\n",
            "  libpci3 pci.ids usb.ids\n",
            "The following NEW packages will be installed:\n",
            "  libpci3 lshw pci.ids pciutils usb.ids\n",
            "0 upgraded, 5 newly installed, 0 to remove and 49 not upgraded.\n",
            "Need to get 883 kB of archives.\n",
            "After this operation, 3,256 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu jammy/main amd64 pci.ids all 0.0~2022.01.22-1 [251 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu jammy/main amd64 libpci3 amd64 1:3.7.0-6 [28.9 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu jammy/main amd64 lshw amd64 02.19.git.2021.06.19.996aaad9c7-2build1 [321 kB]\n",
            "Get:4 http://archive.ubuntu.com/ubuntu jammy/main amd64 pciutils amd64 1:3.7.0-6 [63.6 kB]\n",
            "Get:5 http://archive.ubuntu.com/ubuntu jammy/main amd64 usb.ids all 2022.04.02-1 [219 kB]\n",
            "Fetched 883 kB in 2s (380 kB/s)\n",
            "Selecting previously unselected package pci.ids.\n",
            "(Reading database ... 123632 files and directories currently installed.)\n",
            "Preparing to unpack .../pci.ids_0.0~2022.01.22-1_all.deb ...\n",
            "Unpacking pci.ids (0.0~2022.01.22-1) ...\n",
            "Selecting previously unselected package libpci3:amd64.\n",
            "Preparing to unpack .../libpci3_1%3a3.7.0-6_amd64.deb ...\n",
            "Unpacking libpci3:amd64 (1:3.7.0-6) ...\n",
            "Selecting previously unselected package lshw.\n",
            "Preparing to unpack .../lshw_02.19.git.2021.06.19.996aaad9c7-2build1_amd64.deb ...\n",
            "Unpacking lshw (02.19.git.2021.06.19.996aaad9c7-2build1) ...\n",
            "Selecting previously unselected package pciutils.\n",
            "Preparing to unpack .../pciutils_1%3a3.7.0-6_amd64.deb ...\n",
            "Unpacking pciutils (1:3.7.0-6) ...\n",
            "Selecting previously unselected package usb.ids.\n",
            "Preparing to unpack .../usb.ids_2022.04.02-1_all.deb ...\n",
            "Unpacking usb.ids (2022.04.02-1) ...\n",
            "Setting up pci.ids (0.0~2022.01.22-1) ...\n",
            "Setting up lshw (02.19.git.2021.06.19.996aaad9c7-2build1) ...\n",
            "Setting up usb.ids (2022.04.02-1) ...\n",
            "Setting up libpci3:amd64 (1:3.7.0-6) ...\n",
            "Setting up pciutils (1:3.7.0-6) ...\n",
            "Processing triggers for man-db (2.10.2-1) ...\n",
            "Processing triggers for libc-bin (2.35-0ubuntu3.4) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libumf.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_loader.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libhwloc.so.15 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_opencl.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtcm.so.1 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_level_zero.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtcm_debug.so.1 is not a symbolic link\n",
            "\n"
          ]
        }
      ],
      "source": [
        "!apt install pciutils lshw"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q21xFsLbiZXG"
      },
      "source": [
        "Install Ollama."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "naOXAI6eiZXG",
        "outputId": "262a6dc6-0cf4-4ecd-a424-1d7aeaac5089"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            ">>> Installing ollama to /usr/local\n",
            ">>> Downloading Linux amd64 bundle\n",
            "############################################################################################# 100.0%\n",
            ">>> Creating ollama user...\n",
            ">>> Adding ollama user to video group...\n",
            ">>> Adding current user to ollama group...\n",
            ">>> Creating ollama systemd service...\n",
            "\u001b[1m\u001b[31mWARNING:\u001b[m systemd is not running\n",
            ">>> NVIDIA GPU installed.\n",
            ">>> The Ollama API is now available at 127.0.0.1:11434.\n",
            ">>> Install complete. Run \"ollama\" from the command line.\n"
          ]
        }
      ],
      "source": [
        "!curl -fsSL https://ollama.com/install.sh | sh"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ujZrjcBeiZXG"
      },
      "source": [
        "Run Ollama service in the background."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "CPJKmqyviZXG"
      },
      "outputs": [],
      "source": [
        "get_ipython().system_raw('ollama serve &')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NmXmIQNXiZXH"
      },
      "source": [
        "Pull Llama2 from the Ollama library."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "vscode": {
          "languageId": "markdown"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WmrFljS3iZXH",
        "outputId": "45b5dcf6-1fb3-4cc7-c574-c506af15de1e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[?25lpulling manifest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1Gpulling manifest \n",
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            "pulling 8934d96d3f08...   3% ▕▏ 133 MB/3.8 GB   57 MB/s    1m4s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "pulling 8934d96d3f08...   5% ▕▏ 181 MB/3.8 GB   57 MB/s    1m3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...   5% ▕▏ 200 MB/3.8 GB   57 MB/s    1m3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...   6% ▕▏ 215 MB/3.8 GB   57 MB/s    1m2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...   6% ▕▏ 243 MB/3.8 GB   57 MB/s    1m2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...   7% ▕▏ 255 MB/3.8 GB   57 MB/s    1m2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...   7% ▕▏ 279 MB/3.8 GB   57 MB/s    1m1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...   8% ▕▏ 306 MB/3.8 GB   57 MB/s    1m1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...   8% ▕▏ 321 MB/3.8 GB  107 MB/s     32s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...   9% ▕▏ 345 MB/3.8 GB  107 MB/s     32s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  10% ▕▏ 372 MB/3.8 GB  107 MB/s     32s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  10% ▕▏ 392 MB/3.8 GB  107 MB/s     32s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  11% ▕▏ 416 MB/3.8 GB  107 MB/s     31s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  12% ▕▏ 450 MB/3.8 GB  107 MB/s     31s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  12% ▕▏ 462 MB/3.8 GB  107 MB/s     31s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  13% ▕▏ 495 MB/3.8 GB  107 MB/s     31s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  14% ▕▏ 531 MB/3.8 GB  107 MB/s     30s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  14% ▕▏ 538 MB/3.8 GB  107 MB/s     30s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  14% ▕▏ 549 MB/3.8 GB  137 MB/s     23s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  15% ▕▏ 557 MB/3.8 GB  137 MB/s     23s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  15% ▕▏ 561 MB/3.8 GB  137 MB/s     23s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  15% ▕▏ 569 MB/3.8 GB  137 MB/s     23s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  15% ▕▏ 577 MB/3.8 GB  137 MB/s     23s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  15% ▕▏ 581 MB/3.8 GB  137 MB/s     23s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  15% ▕▏ 589 MB/3.8 GB  137 MB/s     23s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  16% ▕▏ 621 MB/3.8 GB  137 MB/s     23s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  17% ▕▏ 644 MB/3.8 GB  137 MB/s     23s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  17% ▕▏ 660 MB/3.8 GB  137 MB/s     23s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  18% ▕▏ 699 MB/3.8 GB  139 MB/s     22s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  19% ▕▏ 725 MB/3.8 GB  139 MB/s     22s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  20% ▕▏ 759 MB/3.8 GB  139 MB/s     21s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  21% ▕▏ 817 MB/3.8 GB  139 MB/s     21s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  22% ▕▏ 833 MB/3.8 GB  139 MB/s     21s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  23% ▕▏ 862 MB/3.8 GB  139 MB/s     21s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  23% ▕▏ 875 MB/3.8 GB  139 MB/s     21s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  23% ▕▏ 887 MB/3.8 GB  139 MB/s     20s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  24% ▕▏ 915 MB/3.8 GB  139 MB/s     20s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  24% ▕▏ 937 MB/3.8 GB  139 MB/s     20s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  25% ▕▏ 957 MB/3.8 GB  139 MB/s     20s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  26% ▕▏ 1.0 GB/3.8 GB  164 MB/s     17s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  27% ▕▏ 1.0 GB/3.8 GB  164 MB/s     17s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  27% ▕▏ 1.0 GB/3.8 GB  164 MB/s     16s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  28% ▕▏ 1.1 GB/3.8 GB  164 MB/s     16s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  29% ▕▏ 1.1 GB/3.8 GB  164 MB/s     16s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  29% ▕▏ 1.1 GB/3.8 GB  164 MB/s     16s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  30% ▕▏ 1.2 GB/3.8 GB  164 MB/s     16s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  31% ▕▏ 1.2 GB/3.8 GB  164 MB/s     16s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  32% ▕▏ 1.2 GB/3.8 GB  164 MB/s     15s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  33% ▕▏ 1.3 GB/3.8 GB  164 MB/s     15s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  35% ▕▏ 1.3 GB/3.8 GB  186 MB/s     13s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  35% ▕▏ 1.3 GB/3.8 GB  186 MB/s     13s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  36% ▕▏ 1.4 GB/3.8 GB  186 MB/s     13s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  36% ▕▏ 1.4 GB/3.8 GB  186 MB/s     13s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  37% ▕▏ 1.4 GB/3.8 GB  186 MB/s     12s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  38% ▕▏ 1.5 GB/3.8 GB  186 MB/s     12s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  39% ▕▏ 1.5 GB/3.8 GB  186 MB/s     12s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  39% ▕▏ 1.5 GB/3.8 GB  186 MB/s     12s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  40% ▕▏ 1.5 GB/3.8 GB  186 MB/s     12s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  41% ▕▏ 1.6 GB/3.8 GB  186 MB/s     12s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  41% ▕▏ 1.6 GB/3.8 GB  197 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  42% ▕▏ 1.6 GB/3.8 GB  197 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  43% ▕▏ 1.6 GB/3.8 GB  197 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  43% ▕▏ 1.6 GB/3.8 GB  197 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  44% ▕▏ 1.7 GB/3.8 GB  197 MB/s     10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  44% ▕▏ 1.7 GB/3.8 GB  197 MB/s     10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  44% ▕▏ 1.7 GB/3.8 GB  197 MB/s     10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  44% ▕▏ 1.7 GB/3.8 GB  197 MB/s     10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  44% ▕▏ 1.7 GB/3.8 GB  197 MB/s     10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  44% ▕▏ 1.7 GB/3.8 GB  197 MB/s     10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  44% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  44% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  44% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  44% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  45% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  46% ▕▏ 1.7 GB/3.8 GB  188 MB/s     11s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  46% ▕▏ 1.8 GB/3.8 GB  188 MB/s     10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  48% ▕▏ 1.8 GB/3.8 GB  188 MB/s     10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  48% ▕▏ 1.8 GB/3.8 GB  188 MB/s     10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  48% ▕▏ 1.8 GB/3.8 GB  188 MB/s     10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  49% ▕▏ 1.9 GB/3.8 GB  193 MB/s     10s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  50% ▕▏ 1.9 GB/3.8 GB  193 MB/s      9s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  50% ▕▏ 1.9 GB/3.8 GB  193 MB/s      9s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  51% ▕▏ 1.9 GB/3.8 GB  193 MB/s      9s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  51% ▕▏ 2.0 GB/3.8 GB  193 MB/s      9s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  52% ▕▏ 2.0 GB/3.8 GB  193 MB/s      9s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  53% ▕▏ 2.0 GB/3.8 GB  193 MB/s      9s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  54% ▕▏ 2.1 GB/3.8 GB  193 MB/s      9s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  54% ▕▏ 2.1 GB/3.8 GB  193 MB/s      9s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  55% ▕▏ 2.1 GB/3.8 GB  193 MB/s      8s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  56% ▕▏ 2.1 GB/3.8 GB  201 MB/s      8s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  57% ▕▏ 2.2 GB/3.8 GB  201 MB/s      8s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  58% ▕▏ 2.2 GB/3.8 GB  201 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  59% ▕▏ 2.3 GB/3.8 GB  201 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  60% ▕▏ 2.3 GB/3.8 GB  201 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  201 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  201 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  201 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  201 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  201 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  197 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  197 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  197 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  197 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  197 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  197 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  197 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  197 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  197 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  197 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  181 MB/s      8s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  181 MB/s      8s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  181 MB/s      8s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  181 MB/s      8s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  181 MB/s      8s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  61% ▕▏ 2.3 GB/3.8 GB  181 MB/s      8s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  63% ▕▏ 2.4 GB/3.8 GB  181 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  64% ▕▏ 2.4 GB/3.8 GB  181 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  64% ▕▏ 2.5 GB/3.8 GB  181 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  65% ▕▏ 2.5 GB/3.8 GB  181 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  66% ▕▏ 2.5 GB/3.8 GB  169 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  66% ▕▏ 2.5 GB/3.8 GB  169 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  67% ▕▏ 2.6 GB/3.8 GB  169 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  68% ▕▏ 2.6 GB/3.8 GB  169 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  68% ▕▏ 2.6 GB/3.8 GB  169 MB/s      7s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  70% ▕▏ 2.7 GB/3.8 GB  169 MB/s      6s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  71% ▕▏ 2.7 GB/3.8 GB  169 MB/s      6s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  71% ▕▏ 2.7 GB/3.8 GB  169 MB/s      6s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  73% ▕▏ 2.8 GB/3.8 GB  169 MB/s      6s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  73% ▕▏ 2.8 GB/3.8 GB  169 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  74% ▕▏ 2.8 GB/3.8 GB  169 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  75% ▕▏ 2.9 GB/3.8 GB  171 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  75% ▕▏ 2.9 GB/3.8 GB  171 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  76% ▕▏ 2.9 GB/3.8 GB  171 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  77% ▕▏ 2.9 GB/3.8 GB  171 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  171 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  171 MB/s      4s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  171 MB/s      4s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  171 MB/s      4s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  171 MB/s      4s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  171 MB/s      4s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  155 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  155 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  155 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  155 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  155 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  155 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  155 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  155 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  155 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  155 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  142 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  142 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  142 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  142 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  142 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  78% ▕▏ 3.0 GB/3.8 GB  142 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  79% ▕▏ 3.0 GB/3.8 GB  142 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  81% ▕▏ 3.1 GB/3.8 GB  142 MB/s      5s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  82% ▕▏ 3.1 GB/3.8 GB  142 MB/s      4s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  83% ▕▏ 3.2 GB/3.8 GB  142 MB/s      4s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  83% ▕▏ 3.2 GB/3.8 GB  164 MB/s      3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  84% ▕▏ 3.2 GB/3.8 GB  164 MB/s      3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  84% ▕▏ 3.2 GB/3.8 GB  164 MB/s      3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  84% ▕▏ 3.2 GB/3.8 GB  164 MB/s      3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  84% ▕▏ 3.2 GB/3.8 GB  164 MB/s      3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  84% ▕▏ 3.2 GB/3.8 GB  164 MB/s      3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  84% ▕▏ 3.2 GB/3.8 GB  164 MB/s      3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  85% ▕▏ 3.3 GB/3.8 GB  164 MB/s      3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  86% ▕▏ 3.3 GB/3.8 GB  164 MB/s      3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  87% ▕▏ 3.3 GB/3.8 GB  164 MB/s      3s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  87% ▕▏ 3.3 GB/3.8 GB  164 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  88% ▕▏ 3.4 GB/3.8 GB  164 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  88% ▕▏ 3.4 GB/3.8 GB  164 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  89% ▕▏ 3.4 GB/3.8 GB  164 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  90% ▕▏ 3.4 GB/3.8 GB  164 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  164 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  164 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  164 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  164 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  164 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  164 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  148 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  148 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  148 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  148 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  148 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  148 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  148 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  148 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  148 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  148 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  127 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  127 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  127 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  127 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  127 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  91% ▕▏ 3.5 GB/3.8 GB  127 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  92% ▕▏ 3.5 GB/3.8 GB  127 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  93% ▕▏ 3.6 GB/3.8 GB  127 MB/s      2s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  94% ▕▏ 3.6 GB/3.8 GB  127 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  94% ▕▏ 3.6 GB/3.8 GB  127 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  94% ▕▏ 3.6 GB/3.8 GB  140 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  94% ▕▏ 3.6 GB/3.8 GB  140 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  94% ▕▏ 3.6 GB/3.8 GB  140 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  94% ▕▏ 3.6 GB/3.8 GB  140 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  95% ▕▏ 3.6 GB/3.8 GB  140 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  95% ▕▏ 3.6 GB/3.8 GB  140 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  95% ▕▏ 3.6 GB/3.8 GB  140 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  95% ▕▏ 3.6 GB/3.8 GB  140 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  95% ▕▏ 3.6 GB/3.8 GB  140 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  95% ▕▏ 3.6 GB/3.8 GB  140 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  95% ▕▏ 3.6 GB/3.8 GB  125 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  95% ▕▏ 3.6 GB/3.8 GB  125 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  95% ▕▏ 3.6 GB/3.8 GB  125 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  95% ▕▏ 3.7 GB/3.8 GB  125 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB  125 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB  125 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB  125 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB  125 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB  125 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB  125 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB   92 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB   92 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB   92 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB   92 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB   92 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  96% ▕▏ 3.7 GB/3.8 GB   92 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  97% ▕▏ 3.7 GB/3.8 GB   92 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  97% ▕▏ 3.7 GB/3.8 GB   92 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  97% ▕▏ 3.7 GB/3.8 GB   92 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  97% ▕▏ 3.7 GB/3.8 GB   92 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  97% ▕▏ 3.7 GB/3.8 GB   92 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  97% ▕▏ 3.7 GB/3.8 GB   81 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  97% ▕▏ 3.7 GB/3.8 GB   81 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  97% ▕▏ 3.7 GB/3.8 GB   81 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  97% ▕▏ 3.7 GB/3.8 GB   81 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  97% ▕▏ 3.7 GB/3.8 GB   81 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  97% ▕▏ 3.7 GB/3.8 GB   81 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.7 GB/3.8 GB   81 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.7 GB/3.8 GB   81 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.7 GB/3.8 GB   81 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.7 GB/3.8 GB   81 MB/s      1s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.7 GB/3.8 GB   84 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.7 GB/3.8 GB   84 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.8 GB/3.8 GB   84 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.8 GB/3.8 GB   84 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.8 GB/3.8 GB   84 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.8 GB/3.8 GB   84 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.8 GB/3.8 GB   84 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  98% ▕▏ 3.8 GB/3.8 GB   84 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   84 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   84 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   66 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   66 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   66 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   66 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   66 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   66 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   66 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   66 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   66 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   66 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   50 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   50 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   50 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   50 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   50 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   50 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08...  99% ▕▏ 3.8 GB/3.8 GB   50 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB/3.8 GB   50 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB/3.8 GB   50 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB/3.8 GB   50 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB/3.8 GB   37 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB/3.8 GB   37 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB/3.8 GB   37 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB/3.8 GB   37 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB/3.8 GB   37 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB/3.8 GB   37 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB/3.8 GB   37 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB/3.8 GB   37 MB/s      0s\u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea...   0% ▕▏    0 B/7.0 KB                  \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea...   0% ▕▏    0 B/7.0 KB                  \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea...   0% ▕▏    0 B/7.0 KB                  \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea...   0% ▕▏    0 B/7.0 KB                  \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea...   0% ▕▏    0 B/7.0 KB                  \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea...   0% ▕▏    0 B/7.0 KB                  \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \n",
            "pulling 7c23fb36d801...   0% ▕▏    0 B/4.8 KB                  \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \n",
            "pulling 7c23fb36d801...   0% ▕▏    0 B/4.8 KB                  \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \n",
            "pulling 7c23fb36d801...   0% ▕▏    0 B/4.8 KB                  \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \n",
            "pulling 7c23fb36d801...   0% ▕▏    0 B/4.8 KB                  \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
            "pulling 8c17c2ebb0ea... 100% ▕▏ 7.0 KB                         \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠙ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠹ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠸ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠼ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠴ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠦ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠧ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠇ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "verifying sha256 digest ⠏ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
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            "pulling 42ba7f8a01dd... 100% ▕▏  557 B                         \n",
            "verifying sha256 digest ⠋ \u001b[?25h\u001b[?25l\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1G\u001b[A\u001b[2K\u001b[1Gpulling manifest \n",
            "pulling 8934d96d3f08... 100% ▕▏ 3.8 GB                         \n",
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            "pulling 42ba7f8a01dd... 100% ▕▏  557 B                         \n",
            "verifying sha256 digest \n",
            "writing manifest \n",
            "success \u001b[?25h\n"
          ]
        }
      ],
      "source": [
        "!ollama pull llama2"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kuyidGaRiZXH"
      },
      "source": [
        "## Test Library Setup\n",
        "\n",
        "Next, let's create our test \"library.\"\n",
        "\n",
        "For simplicity's sake, let's say that our \"library\" is simply a **nested directory of `.epub` files**. We can easily see this solution generalizing to, say, a Calibre library with a `metadata.db` database file. We'll leave that extension as an exercise for the reader. 😇\n",
        "\n",
        "Let's pull two `.epub` files from [Project Gutenberg](https://www.gutenberg.org/) for our library."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "owd6t9R3iZXI",
        "outputId": "a8b3fcfc-bd84-4706-a961-d685a102c0b4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2025-01-14 03:05:06--  https://www.gov.nl.ca/ecc/files/env-protection-pesticides-business-manuals-applic-chapter7.pdf\n",
            "Resolving www.gov.nl.ca (www.gov.nl.ca)... 98.143.128.70\n",
            "Connecting to www.gov.nl.ca (www.gov.nl.ca)|98.143.128.70|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1914250 (1.8M) [application/pdf]\n",
            "Saving to: ‘./test/library/env-protection-pesticides-business-manuals-applic-chapter7.pdf’\n",
            "\n",
            "./test/library/env- 100%[===================>]   1.83M   955KB/s    in 2.0s    \n",
            "\n",
            "2025-01-14 03:05:10 (955 KB/s) - ‘./test/library/env-protection-pesticides-business-manuals-applic-chapter7.pdf’ saved [1914250/1914250]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "!mkdir -p \"./test/library\"\n",
        "\n",
        "!wget https://www.gov.nl.ca/ecc/files/env-protection-pesticides-business-manuals-applic-chapter7.pdf -O \"./test/library/env-protection-pesticides-business-manuals-applic-chapter7.pdf\""
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir -p \"./documents\"\n",
        "!wget https://www.gov.nl.ca/ecc/files/env-protection-pesticides-business-manuals-applic-chapter7.pdf -O \"./documents/env-protection-pesticides-business-manuals-applic-chapter7.pdf\"\n"
      ],
      "metadata": {
        "id": "2mJ-FX8Vv6xF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5lT41rOZiZXI"
      },
      "source": [
        "## RAG with LlamaIndex\n",
        "\n",
        "RAG with LlamaIndex, at its core, consists of the following broad phases:\n",
        "\n",
        "1. **Loading**, in which you tell LlamaIndex where your data lives and how to\n",
        "   load it;\n",
        "2. **Indexing**, in which you augment your loaded data to facilitate querying, e.g. with vector embeddings;\n",
        "3. **Querying**, in which you configure an LLM to act as the query interface for\n",
        "   your indexed data.\n",
        "\n",
        "This explanation only scratches at the surface of what's possible with\n",
        "LlamaIndex. For more in-depth details, I highly recommend reading the\n",
        "[\"High-Level Concepts\" page of the LlamaIndex\n",
        "documentation](https://docs.llamaindex.ai/en/stable/getting_started/concepts.html)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LL4DIdwBiZXJ"
      },
      "source": [
        "### Loading\n",
        "\n",
        "Naturally, let's start with the **loading** phase.\n",
        "\n",
        "I mentioned before that LlamaIndex is designed specifically for RAG. This\n",
        "immediately becomes obvious from its\n",
        "[`SimpleDirectoryReader`](https://docs.llamaindex.ai/en/stable/module_guides/loading/simpledirectoryreader.html)\n",
        "construct, which ✨ **magically** ✨ supports a whole host of multi-model file\n",
        "types for free. Conveniently for us, `.epub` is in the supported set."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CzOGuQcoiZXK",
        "outputId": "7996ee99-9cd1-43b9-90c4-4abc06a4a246"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/ebooklib/epub.py:1423: FutureWarning: This search incorrectly ignores the root element, and will be fixed in a future version.  If you rely on the current behaviour, change it to './/xmlns:rootfile[@media-type]'\n",
            "  for root_file in tree.findall('//xmlns:rootfile[@media-type]', namespaces={'xmlns': NAMESPACES['CONTAINERNS']}):\n"
          ]
        }
      ],
      "source": [
        "from llama_index.core import SimpleDirectoryReader\n",
        "\n",
        "loader = SimpleDirectoryReader(\n",
        "    input_dir=\"./test/\",\n",
        "    recursive=True,\n",
        "    required_exts=[\".epub\"],\n",
        ")\n",
        "\n",
        "documents = loader.load_data()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from llama_index.core import SimpleDirectoryReader\n",
        "\n",
        "loader = SimpleDirectoryReader(\n",
        "    input_dir=\"./test/\",\n",
        "    recursive=True,\n",
        "    required_exts=[\".pdf\"],\n",
        ")\n",
        "\n",
        "documents = loader.load_data()"
      ],
      "metadata": {
        "id": "gvI3vdg5tcpz"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "https://docs.llamaindex.ai/en/stable/module_guides/loading/simpledirectoryreader/"
      ],
      "metadata": {
        "id": "kfY7EQoNthVo"
      }
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "W2Vfya7fthQH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "y_DQ5OUBthO9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from llama_index.core import SimpleDirectoryReader\n",
        "\n",
        "loader = SimpleDirectoryReader(\n",
        "    input_dir=\"./test/\",\n",
        "    recursive=True,\n",
        "    required_exts=[\".pdf\"],\n",
        ")\n",
        "\n",
        "documents = loader.load_data()"
      ],
      "metadata": {
        "id": "L-Q4SOJitMv2"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kBcPPSZliZXK"
      },
      "source": [
        "`SimpleDirectoryReader.load_data()` converts our ebooks into a set of [`Document`s](https://docs.llamaindex.ai/en/stable/api/llama_index.core.schema.Document.html) for LlamaIndex to work with.\n",
        "\n",
        "One important thing to note here is that the documents **have not been chunked at this stage** -- that will happen during indexing. Read on..."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AUZIwj5piZXK"
      },
      "source": [
        "### Indexing\n",
        "\n",
        "Next up after **loading** the data is to **index** it. This will allow our RAG pipeline to look up the relevant context for our query to pass to our LLM to **augment** their generated response. This is also where document chunking will take place.\n",
        "\n",
        "[`VectorStoreIndex`](https://docs.llamaindex.ai/en/stable/module_guides/indexing/vector_store_index.html)\n",
        "is a \"default\" entrypoint for indexing in LlamaIndex. By default,\n",
        "`VectorStoreIndex` uses a simple, in-memory dictionary to store the indices, but\n",
        "LlamaIndex also supports [a wide variety of vector storage\n",
        "solutions](https://docs.llamaindex.ai/en/stable/module_guides/storing/vector_stores.html)\n",
        "for you to graduate to as you scale.\n",
        "\n",
        "<Tip>\n",
        "By default, LlamaIndex uses a chunk size of 1024 and a chunk overlap of\n",
        "20. For more details, see the [LlamaIndex\n",
        "documentation](https://docs.llamaindex.ai/en/stable/optimizing/basic_strategies/basic_strategies.html#chunk-sizes).\n",
        "</Tip>\n",
        "\n",
        "\n",
        "Like mentioned before, we'll use the\n",
        "[`BAAI/bge-small-en-v1.5`](https://huggingface.co/BAAI/bge-base-en-v1.5) to\n",
        "generate our embeddings. By default, [LlamaIndex uses\n",
        "OpenAI](https://docs.llamaindex.ai/en/stable/getting_started/starter_example.html)\n",
        "(specifically `gpt-3.5-turbo`), which we'd like to avoid given our desire for a lightweight, locally-runnable end-to-end solution.\n",
        "\n",
        "Thankfully, LlamaIndex supports retrieving embedding models from Hugging Face through the convenient `HuggingFaceEmbedding` class, so we'll use that here."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
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        },
        "id": "IB6Oa28wiZXK",
        "outputId": "b576ced5-b202-49e7-c71e-9c847f6426e4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "modules.json:   0%|          | 0.00/349 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config_sentence_transformers.json:   0%|          | 0.00/124 [00:00<?, ?B/s]"
            ],
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              "version_major": 2,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "README.md:   0%|          | 0.00/94.8k [00:00<?, ?B/s]"
            ],
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              "version_major": 2,
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "sentence_bert_config.json:   0%|          | 0.00/52.0 [00:00<?, ?B/s]"
            ],
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              "version_major": 2,
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          "metadata": {}
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        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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              "model.safetensors:   0%|          | 0.00/133M [00:00<?, ?B/s]"
            ],
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/366 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "81af070cd8864fbab38c911589859967"
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"
            ],
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              "version_major": 2,
              "version_minor": 0,
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          "metadata": {}
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        {
          "output_type": "display_data",
          "data": {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e1056c7c70ac434c9f02caf560b579ce"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3dfd9fb2541341e787c8c4703389b0db"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "1_Pooling/config.json:   0%|          | 0.00/190 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "73364fd50e0341efb37eba991add0338"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "from llama_index.embeddings.huggingface import HuggingFaceEmbedding\n",
        "\n",
        "embedding_model = HuggingFaceEmbedding(model_name=\"BAAI/bge-small-en-v1.5\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F0a_WCmGiZXL"
      },
      "source": [
        "We'll pass that in to `VectorStoreIndex` as our embedding model to circumvent the OpenAI default behavior."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "gCJa-1a_tbXJ"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "E5evhE-IiZXL"
      },
      "outputs": [],
      "source": [
        "from llama_index.core import VectorStoreIndex\n",
        "\n",
        "index = VectorStoreIndex.from_documents(\n",
        "    documents,\n",
        "    embed_model=embedding_model,\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZLu61L-7iZXL"
      },
      "source": [
        "### Querying\n",
        "\n",
        "Now for the final piece of the RAG puzzle -- wiring up the query layer.\n",
        "\n",
        "We'll use Llama 2 for the purposes of this recipe, but I encourage readers to play around with different models to see which produces the \"best\" responses here.\n",
        "\n",
        "First let's start up the Ollama server. Unfortunately, there is no support in the [Ollama Python client](https://github.com/ollama/ollama-python) for actually starting and stopping the server itself, so we'll have to pop out of Python land for this.\n",
        "\n",
        "In a separate terminal, run: `ollama serve`. Remember to terminate this after we're done here!"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zt4oXP5ZiZXL"
      },
      "source": [
        "Now let's hook Llama 2 up to LlamaIndex and use it as the basis of our query engine."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "Pkc2ImeziZXM"
      },
      "outputs": [],
      "source": [
        "from llama_index.llms.ollama import Ollama\n",
        "\n",
        "llama = Ollama(\n",
        "    model=\"llama2\",\n",
        "    request_timeout=40.0,\n",
        ")\n",
        "\n",
        "query_engine = index.as_query_engine(llm=llama)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ewkDzfjbiZXM"
      },
      "source": [
        "## Final Result\n",
        "\n",
        "With that, our basic RAG librarian is set up and we can start asking questions about our library. For example:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-z7HimvziZXM",
        "outputId": "3b23210c-cfb1-428d-ab8d-0a95258662f0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Based on the provided context information, the titles of the books available are:\n",
            "\n",
            "1. \"Common Sense Pest Control\" by W. Olkowski, S. Daar and H. Olkowski (1991)\n",
            "2. \"IPM Practitioner\" (Bio-Integral Resource Center)\n",
            "3. \"Nova Scotia Agricultural College, Centre for Continuing and Distance Education, Course Descriptions\"\n",
            "4. \"Wildwood Labs, Pest Identification and Disease Diagnosis Services\"\n",
            "5. \"Further Reading\" (no specific book titles are mentioned)\n",
            "\n",
            "The context used to derive this answer is the information provided in the chapter of the manual related to integrated pest management, specifically the section on books and other resources available for pest control.\n"
          ]
        }
      ],
      "source": [
        "print(query_engine.query(\"What are the titles of all the books available? Show me the context used to derive your answer.\"))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H0dsbIvMiZXN",
        "outputId": "9440056d-a45e-479d-e39b-6b6f18136ea8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "I cannot directly reference the given context in my answer, as per your rules. However, I can provide a creative and humorous response based on the context information.\n",
            "\n",
            "It seems that the main character of \"Pride and Prejudice\" is not a pest, but rather a book written by Jane Austen. The book follows the lives of the Bennet family, particularly Elizabeth and her relationship with Mr. Darcy. However, if we were to apply integrated pest management principles to this scenario, we would need to identify the \"pests\" that are causing problems in the story.\n",
            "\n",
            "Are the characters in the book the pests? Perhaps Mr. Collins is a bit of a nuisance, always trying to ingratiate himself with the Bennet family. Or maybe Lady Catherine de Bourgh is like a pesky aphid, constantly demanding attention and respect. And let's not forget about Wickham, who could be seen as a sneaky pest that causes trouble for poor Lizzy.\n",
            "\n",
            "But wait, I digress! If we were to use integrated pest management techniques in the world of \"Pride and Prejudice,\" we would need to identify the specific pests that are causing problems and then develop a plan to control them. Perhaps we could release some insect pheromones to confuse Mr. Collins, or use plant attractants to lure Lady Catherine de Bourgh away from the Bennet estate. And as for Wickham, well, he's probably best left alone until he learns to behave himself!\n"
          ]
        }
      ],
      "source": [
        "print(query_engine.query(\"Who is the main character of 'Pride and Prejudice'?\"))"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(query_engine.query(\"what is INTEGRATED PEST MANAGEMENT?\"))"
      ],
      "metadata": {
        "id": "NnucVmUdyUHi",
        "outputId": "2a3d6fa7-be93-4a3d-aa88-72b3556a13a0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Integrated Pest Management (IPM) is a decision-making process that helps to prevent pest problems by planning and managing ecosystems. It involves using a combination of methods, including cultural, biological, physical, mechanical, behavioral, or chemical treatments, to control pests with little impact on the environment. The goal of IPM is to manage pests effectively, economically, and safely, reducing the need for chemical pesticides and minimizing environmental risks.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Does ipm eliminate all pests?"
      ],
      "metadata": {
        "id": "DTM00gmvzRVS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(query_engine.query(\"Does ipm eliminate all pests?\"))"
      ],
      "metadata": {
        "id": "8CEBAaO0zUDS",
        "outputId": "461af994-faa6-4a8d-b7c0-44a8e133fda5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "No, IPM (Integrated Pest Management) does not eliminate all pests. According to the provided context information, the goal of IPM is to manage pests effectively, economically, and safely, while reducing the need for chemical pesticides. It aims to keep pest numbers below a damaging level, rather than eliminating all pests. Therefore, IPM does not eliminate all pests, but rather manages them at a tolerable level.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MjIPlp3iiZXN"
      },
      "source": [
        "## Conclusion and Future Improvements\n",
        "\n",
        "We've demonstrated how to build a basic RAG-based \"librarian\" that runs entirely locally, even on Apple silicon Macs. In doing so, we've also carried out a \"grand tour\" of LlamaIndex and how it streamlines the process of setting up RAG-based applications.\n",
        "\n",
        "That said, we've really only scratched the surface of what's possible here. Here are some ideas of how to refine and build upon this foundation.\n",
        "\n",
        "### Forcing Citations\n",
        "\n",
        "To guard against the risk of our librarian hallucinating, how might we require that it provide citations for everything that it says?\n",
        "\n",
        "### Using Extended Metadata\n",
        "\n",
        "Ebook library management solutions like [Calibre](https://calibre-ebook.com/) create additional metadata for ebooks in a library. This can provide information such as publisher or edition that might not be readily available in the text of the book itself. How could we extend our RAG pipeline to account for additional sources of information that aren't `.epub` files?\n",
        "\n",
        "### Efficient Indexing\n",
        "\n",
        "If we were to collect everything we built here into a script/executable, the resulting script would re-index our library on each invocation. For our tiny test library of two files, this is \"fine,\" but for any library of non-trivial size this will very quickly become annoying for users. How could we persist the embedding indices and only update them when the contents of the library have meaningfully changed, e.g. new books have been added?"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "1bK0N1hTrj2o"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "qQ3AgELErjz5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "qTAG_sHkrjwg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir -p \"./test/library/jane-austen\"\n",
        "!mkdir -p \"./test/library/victor-hugo\"\n",
        "\n",
        "# تنزيل ملف PDF\n",
        "!wget https://www.gov.nl.ca/ecc/files/env-protection-pesticides-business-manuals-applic-chapter7.pdf -O \"./test/env-protection-pesticides-business-manuals-applic-chapter7.pdf\"\n",
        "\n",
        "import fitz  # مكتبة PyMuPDF لقراءة ملفات PDF\n",
        "from llama_index.core import VectorStoreIndex\n",
        "from llama_index.embeddings.huggingface import HuggingFaceEmbedding\n",
        "\n",
        "# دالة لتحميل بيانات PDF\n",
        "def load_pdf_data(directory):\n",
        "    documents = []\n",
        "    import os\n",
        "    for root, _, files in os.walk(directory):\n",
        "        for file in files:\n",
        "            if file.endswith(\".pdf\"):\n",
        "                file_path = os.path.join(root, file)\n",
        "                with fitz.open(file_path) as pdf:\n",
        "                    text = \"\"\n",
        "                    for page in pdf:\n",
        "                        text += page.get_text()\n",
        "                documents.append({\"text\": text, \"file_name\": file_path})\n",
        "    return documents\n",
        "\n",
        "# تحميل ملفات PDF\n",
        "documents = load_pdf_data(\"./test/\")\n",
        "\n",
        "# إنشاء نموذج التضمين\n",
        "embedding_model = HuggingFaceEmbedding(model_name=\"BAAI/bge-small-en-v1.5\")\n",
        "\n",
        "# إنشاء الفهرس\n",
        "index = VectorStoreIndex.from_documents(\n",
        "    documents,\n",
        "    embed_model=embedding_model,\n",
        ")\n",
        "\n",
        "# إعداد Llama\n",
        "from llama_index.llms.ollama import Ollama\n",
        "\n",
        "llama = Ollama(\n",
        "    model=\"llama2\",\n",
        "    request_timeout=40.0,\n",
        ")\n",
        "\n",
        "# إنشاء محرك الاستعلام\n",
        "query_engine = index.as_query_engine(llm=llama)\n",
        "\n",
        "# استعلام للحصول على العناوين والسياق\n",
        "response = query_engine.query(\"What are the titles of all the books available? Show me the context used to derive your answer.\")\n",
        "print(response)\n"
      ],
      "metadata": {
        "id": "zC_9LBjTrjtJ",
        "outputId": "48728172-7f15-4d64-aed6-17ae6ceb763b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 541
        }
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2025-01-14 02:40:51--  https://www.gov.nl.ca/ecc/files/env-protection-pesticides-business-manuals-applic-chapter7.pdf\n",
            "Resolving www.gov.nl.ca (www.gov.nl.ca)... 98.143.128.70\n",
            "Connecting to www.gov.nl.ca (www.gov.nl.ca)|98.143.128.70|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1914250 (1.8M) [application/pdf]\n",
            "Saving to: ‘./test/env-protection-pesticides-business-manuals-applic-chapter7.pdf’\n",
            "\n",
            "./test/env-protecti 100%[===================>]   1.83M  4.54MB/s    in 0.4s    \n",
            "\n",
            "2025-01-14 02:40:52 (4.54 MB/s) - ‘./test/env-protection-pesticides-business-manuals-applic-chapter7.pdf’ saved [1914250/1914250]\n",
            "\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "AttributeError",
          "evalue": "'dict' object has no attribute 'get_doc_id'",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-15-6626f7cd89d9>\u001b[0m in \u001b[0;36m<cell line: 33>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     31\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     32\u001b[0m \u001b[0;31m# إنشاء الفهرس\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 33\u001b[0;31m index = VectorStoreIndex.from_documents(\n\u001b[0m\u001b[1;32m     34\u001b[0m     \u001b[0mdocuments\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     35\u001b[0m     \u001b[0membed_model\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0membedding_model\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/llama_index/core/indices/base.py\u001b[0m in \u001b[0;36mfrom_documents\u001b[0;34m(cls, documents, storage_context, show_progress, callback_manager, transformations, **kwargs)\u001b[0m\n\u001b[1;32m    108\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mcallback_manager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mas_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"index_construction\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mdoc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdocuments\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 110\u001b[0;31m                 \u001b[0mdocstore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_document_hash\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdoc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_doc_id\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdoc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhash\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    111\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m             nodes = run_transformations(\n",
            "\u001b[0;31mAttributeError\u001b[0m: 'dict' object has no attribute 'get_doc_id'"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install PyMuPDF"
      ],
      "metadata": {
        "id": "ZlqjHtGnrvlp",
        "outputId": "7d683ab0-e1be-4306-ef96-d600bac8dd11",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting PyMuPDF\n",
            "  Downloading pymupdf-1.25.1-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (3.4 kB)\n",
            "Downloading pymupdf-1.25.1-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (20.0 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.0/20.0 MB\u001b[0m \u001b[31m44.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: PyMuPDF\n",
            "Successfully installed PyMuPDF-1.25.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "D5hxXQ6Kry9R"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from llama_index import Document  # تأكد من استيراد Document\n",
        "\n",
        "# دالة لتحميل بيانات PDF\n",
        "def load_pdf_data(directory):\n",
        "    documents = []\n",
        "    import os\n",
        "    for root, _, files in os.walk(directory):\n",
        "        for file in files:\n",
        "            if file.endswith(\".pdf\"):\n",
        "                file_path = os.path.join(root, file)\n",
        "                with fitz.open(file_path) as pdf:\n",
        "                    text = \"\"\n",
        "                    for page in pdf:\n",
        "                        text += page.get_text()\n",
        "                # تحويل النص إلى كائن Document\n",
        "                doc = Document(text=text, metadata={\"file_name\": file_path})\n",
        "                documents.append(doc)\n",
        "    return documents\n",
        "\n",
        "# تحميل ملفات PDF\n",
        "documents = load_pdf_data(\"./test/\")\n",
        "\n",
        "# إنشاء نموذج التضمين\n",
        "embedding_model = HuggingFaceEmbedding(model_name=\"BAAI/bge-small-en-v1.5\")\n",
        "\n",
        "# إنشاء الفهرس\n",
        "index = VectorStoreIndex.from_documents(\n",
        "    documents,\n",
        "    embed_model=embedding_model,\n",
        ")\n",
        "\n",
        "# إعداد Llama\n",
        "from llama_index.llms.ollama import Ollama\n",
        "\n",
        "llama = Ollama(\n",
        "    model=\"llama2\",\n",
        "    request_timeout=40.0,\n",
        ")\n",
        "\n",
        "# إنشاء محرك الاستعلام\n",
        "query_engine = index.as_query_engine(llm=llama)\n",
        "\n",
        "# استعلام للحصول على العناوين والسياق\n",
        "response = query_engine.query(\"What are the titles of all the books available? Show me the context used to derive your answer.\")\n",
        "print(response)\n"
      ],
      "metadata": {
        "id": "Ib9zAQgFsGRy",
        "outputId": "c0d9f9e9-83e4-480d-cdee-420e831425f9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 384
        }
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "error",
          "ename": "ImportError",
          "evalue": "cannot import name 'Document' from 'llama_index' (unknown location)",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-18-c4d8f0e3a1f0>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mllama_index\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mDocument\u001b[0m  \u001b[0;31m# تأكد من استيراد Document\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;31m# دالة لتحميل بيانات PDF\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mload_pdf_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdirectory\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mdocuments\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mImportError\u001b[0m: cannot import name 'Document' from 'llama_index' (unknown location)",
            "",
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0;32m\nNOTE: If your import is failing due to a missing package, you can\nmanually install dependencies using either !pip or !apt.\n\nTo view examples of installing some common dependencies, click the\n\"Open Examples\" button below.\n\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n"
          ],
          "errorDetails": {
            "actions": [
              {
                "action": "open_url",
                "actionText": "Open Examples",
                "url": "/notebooks/snippets/importing_libraries.ipynb"
              }
            ]
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!rm -rf /content/test/library/victor-hugo /content/test/library/jane-austen"
      ],
      "metadata": {
        "id": "y2pE7CiFshOZ"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from llama_index.core import SimpleDirectoryReader\n",
        "\n",
        "reader = SimpleDirectoryReader(input_dir=\"/content/test\")\n",
        "documents = reader.load_data()"
      ],
      "metadata": {
        "id": "NnaAgrNish0J",
        "outputId": "96717e3f-2402-48eb-e57c-73eb861ff96e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 332
        }
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "error",
          "ename": "ValueError",
          "evalue": "Directory /content/test/env-protection-pesticides-business-manuals-applic-chapter7.pdf does not exist.",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
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