baseline.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "id": "e80f9df9-3f9a-48b5-b574-3571f520eef3",
      "metadata": {
        "id": "e80f9df9-3f9a-48b5-b574-3571f520eef3"
      },
      "source": [
        "# DABstep Benchmark Qwen2.5-Coder-32B Baseline\n",
        "\n",
        "This notebook will guide you though submitting a Qwen2.5-Coder-32B baseline to the benchmark.\n",
        "\n",
        "* Live 🤗 Leaderboard: https://huggingface.co/spaces/adyen/DABstep\n",
        "* Benchmark 🤗 Dataset: https://huggingface.co/datasets/adyen/DABstep\n",
        "* LLM Agent Framework by 🤗: https://github.com/huggingface/smolagents/tree/main\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "104322ef7e11bec7",
      "metadata": {
        "id": "104322ef7e11bec7"
      },
      "source": [
        "## Environment Setup\n",
        "\n",
        "We need to setup:\n",
        "* **HuggingFace Token:** In order to make free API calls to HuggingFace Inference API you must have a HF account, the API verifies this by checking your account's token. This token will not be used for anything else.\n",
        "* **Benchmark context files:** In order to solve the benchmark tasks the agent will need to reference documentation and analyze data which is spread out across multiple files, just like a real Data Analyst would."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e64aca61-8a22-46d4-839b-197f5592a87a",
      "metadata": {
        "id": "e64aca61-8a22-46d4-839b-197f5592a87a"
      },
      "source": [
        "### HuggingFace Token Setup"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "1183b2d6-75d0-4602-8afb-900b8e40ce98",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17,
          "referenced_widgets": [
            "1c290f90f0c94840b642c1c0995ca979",
            "13a21bb89ea8466cab8844465a3c22ff",
            "082538c17a1a47e0b73241778cf7a417",
            "ed68200cb8524d998e05ab5e43f6478c",
            "b3be6e3ffda24410baadca98434f0d13",
            "8428879f27cc4c40a663c74b94471395",
            "49f0ff75a5b0431e82db71a74ae643f7",
            "1c3959fa2ca3438f898159a7b9eedd88",
            "7b43a6e66cdf48a0ba5bfe06a2a45896",
            "7a81c87b63a24a71ae3850ed8cbb658b",
            "667667a167c64a02a0c6223afdde5caf",
            "69d2744659df4d77a20290fde2e9b42d",
            "26578dfd05524f00a709278717d9b8d7",
            "8f8fde1145044f7ca923a930f65c0de2",
            "a80db8e21e27478dbb51e3043a74837f",
            "ef567a9f82ce48b8b87363420a68b569",
            "c20a46abb413449bab848efc06ee5055",
            "5a451547bafb426391e2b6722299b9a0",
            "4572af0d495e4343bfcf48ad55c78daa",
            "e3e416e10f9348c6a3f2f7394be4b540"
          ]
        },
        "id": "1183b2d6-75d0-4602-8afb-900b8e40ce98",
        "outputId": "fc78c2f2-062d-41d1-e392-44a1ef93f5c3"
      },
      "outputs": [],
      "source": [
        "import time\n",
        "import datasets\n",
        "import pandas as pd\n",
        "from pathlib import Path\n",
        "from smolagents import CodeAgent\n",
        "from smolagents.models import HfApiModel\n",
        "from dabstep_benchmark.utils import evaluate\n",
        "\n",
        "from utils import download_dataset, PROMPT, run_benchmark, write_jsonl"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "aea68970-a886-4d8d-9565-1d48c993cb40",
      "metadata": {
        "id": "aea68970-a886-4d8d-9565-1d48c993cb40"
      },
      "source": [
        "#### Download context files\n",
        "First we donwload the context files from the [Benchmark's Dataset](https://huggingface.co/datasets/adyen/DABstep) so that our agent can access them.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "ac518ebd-cf94-4e2a-a48c-a76f14f669b2",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 493,
          "referenced_widgets": [
            "55711a597ce747509882fb319f2b0dd6",
            "ef036b59c09d45ecb015df208ab3d0d8",
            "135631e2718a4cf380ee08735cb48aac",
            "0dd2b1574a404d938dee62f4017abb31",
            "2e4e1bbe06e74a16bfca3f006ae99de7",
            "ba1c7ae364864507bdc1db090ef3bc11",
            "100c0b5db43c41a58fd39f38e2063c3a",
            "74e6a5cde5e94b6a815d3cc954086d74",
            "075ee5082070487cb9713a66f5f15ae0",
            "03970c1935d9481f9ca8812b82508db2",
            "2e2a7bbb4a114d40860a873a16d80b6d",
            "b01fee0dbbc54d5f8008605ffd35ba65",
            "a9928f9202334e28b5ad22524b553e30",
            "7a74c53ad53c47da99268d797ae07f11",
            "f24ef5fd150942ce82097bfb9dd5ef5c",
            "9d6f7dff7480416182f85bc4ad0329a2",
            "12b34f7a65504bceba07d73d704276df",
            "efeb99cc1f884bb38de01fffee197087",
            "168cdb175f3846b7a5477481ba221599",
            "0a9746c0c3894893a6a5c7f0c83c5a80",
            "318d1ed1f61d448aa8bf75bbc9b06bf8",
            "3a49ddea14cf4deca3ac2b5899155176",
            "397fb9eab15b4d4d9bb1033ddfc51eb0",
            "a345fd91f9ea4a6398d7555bee17af0f",
            "54331fcce9ea401bbea3fb491dde226f",
            "a5970261108646f8a142c3560037e0b4",
            "3d023d7a03e74ae5aa15ff5974ca64e1",
            "ae358da5ca3b4cd090d1ef5650630e31",
            "b8445c235a8748b8aedb5738a6012ceb",
            "bfd58f9b45164337a31f049566bd8ff8",
            "9c0bd39d12ca41149f5de25ef27852ee",
            "b5f779459102474f948c5c57fed637de",
            "13e22d258f03476e94cc970fbb12bb84",
            "88a235144a284709b236cfad23bafad5",
            "11383c9a05874ce5a3adbffb96814cc3",
            "777cfc5a23224768b159e88d18a036ed",
            "8bb6984f9e0d473cb44a05909e1eb9a3",
            "07639053a134496b9e70630fb33fb7f2",
            "c67fcb46f5f74f9db1205ff52e4cdade",
            "864fa640c5754b9f98252b7fb3caba1c",
            "10a25b9a67d146e58158a3925be23894",
            "03ff4796b08a444cbd0666da4a0a2b02",
            "ce07c7f7a7ce4bb6b9d8f6c081b968b8",
            "e992ef59e87c45b38ba50371ae0c08f2",
            "3e9d4fa01bcc40bbb8086d5c0a29e6e7",
            "3205c5c9f34641c1b1b7e1a93bc96388",
            "ca4fc1a9225e46619b0b4c914343751b",
            "3a1d3323d986452eb6a933c8240f663e",
            "eb1ae68f0687414ea70421433de1d32b",
            "3ee05a1a71ee403aa4da5115a27e3351",
            "8bfbd58f63e4424eb9477e63956dd7fb",
            "0d60a69a4c6649db8d714d20deb40259",
            "d27d704b1b6e453f9bd305079d4b1729",
            "6f3ba8a8f8c646d1abf380fe81e2d40d",
            "f62394b0399347e5b3b273d93e8a8b7a",
            "47ebb6f6c5f74f88a3e8502aee64e4ca",
            "9065334c07b745229166b6ae560bc359",
            "a59a92b03d6d48d3a1ad7a38dac5cb60",
            "0f4e627ea9e94aa48e6cbfba9a83673c",
            "d513f533008f4b8d932d7d9409961233",
            "4e81b68ec35a46f3a5c1be754947b423",
            "3663a3e192344ede9892d2d7fdab29dd",
            "1adeba1dcf6941a284ed7e988dc24a29",
            "f5c946c261b2487fad3e21d361e454b5",
            "f32c3e0bb8234ded84228a62db0ef944",
            "fd50bafbb2ed44c0adf28ec98894b158",
            "6e23fd347b6f4aedaf8e498f05a8d60e",
            "eae5cb4587ac4a448672e11599f61967",
            "3c8419654b454c2ebdb66b248fb70399",
            "b6125508b1a14404bbb64affa8839e62",
            "ac9c08264365496eb5073be6f78fc5d5",
            "3efe8ed773ff47d594dbef7c7797d583",
            "a177c31b29fa4ffd89bcec8d9512c4f0",
            "00ad3f4fd693465a8957812777bb111e",
            "2a4ef0501af14781bdcdddd1c9d1f8ed",
            "c6ec4bf6cc38414b855d6dc30d7d297d",
            "129985da244b40bea66108e6e8d73bee"
          ]
        },
        "id": "ac518ebd-cf94-4e2a-a48c-a76f14f669b2",
        "outputId": "0309ac2d-cbe1-44f0-f624-6c289db7f667"
      },
      "outputs": [],
      "source": [
        "context_files = download_dataset()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "4d2c07657f55652e",
      "metadata": {
        "id": "4d2c07657f55652e"
      },
      "source": [
        "## Agent\n",
        "\n",
        "Here we will setup a simple zero-shot prompt for the agent. It has two parts, the general prompt and then a quick outline of which files are available."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "479f4d6d-7779-44d7-8bea-ccbb27b4d017",
      "metadata": {
        "id": "479f4d6d-7779-44d7-8bea-ccbb27b4d017"
      },
      "source": [
        "## 3.4 Testing Agent"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "979e6877f6c0c293",
      "metadata": {
        "id": "979e6877f6c0c293"
      },
      "outputs": [],
      "source": [
        "MODEL_ID = \"Qwen/Qwen2.5-Coder-32B-Instruct\"\n",
        "MAX_STEPS = 7\n",
        "\n",
        "agent = CodeAgent(\n",
        "    tools=[],\n",
        "    model=HfApiModel(MODEL_ID),\n",
        "    additional_authorized_imports=[\"numpy\", \"pandas\", \"json\", \"csv\", \"os\", \"glob\", \"markdown\"],\n",
        "    max_steps=MAX_STEPS,\n",
        ")\n",
        "# give agent power to open files\n",
        "agent.python_executor.send_tools({\"open\": open})"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "id": "e3af8185360af8ab",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "e3af8185360af8ab",
        "outputId": "4011f6ca-fe0b-4f7d-9cb2-737cc3722d5d"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You are an expert data analyst and you will answer factoid questions by loading and referencing the </span>            <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">files/documents listed below.</span>                                                                                   <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You have these files available:</span>                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">['/tmp/DABstep-data/data/context/acquirer_countries.csv', '/tmp/DABstep-data/data/context/payments-readme.md', </span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/payments.csv', '/tmp/DABstep-data/data/context/merchant_category_codes.csv', </span>   <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/fees.json', '/tmp/DABstep-data/data/context/merchant_data.json', </span>               <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/manual.md'\\]</span>                                                                    <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Don't forget to reference any documentation in the data dir before answering a question.</span>                        <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Here is the question you need to answer:</span>                                                                        <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">What are the unique set of merchants in the payments data?</span>                                                      <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Here are the guidelines you must follow when answering the question above:</span>                                      <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Answer with a comma separated list</span>                                                                              <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ HfApiModel - Qwen/Qwen2.5-Coder-32B-Instruct ──────────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou are an expert data analyst and you will answer factoid questions by loading and referencing the \u001b[0m            \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mfiles/documents listed below.\u001b[0m                                                                                   \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou have these files available:\u001b[0m                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m['/tmp/DABstep-data/data/context/acquirer_countries.csv', '/tmp/DABstep-data/data/context/payments-readme.md', \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/payments.csv', '/tmp/DABstep-data/data/context/merchant_category_codes.csv', \u001b[0m   \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/fees.json', '/tmp/DABstep-data/data/context/merchant_data.json', \u001b[0m               \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/manual.md'\\]\u001b[0m                                                                    \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mDon't forget to reference any documentation in the data dir before answering a question.\u001b[0m                        \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHere is the question you need to answer:\u001b[0m                                                                        \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mWhat are the unique set of merchants in the payments data?\u001b[0m                                                      \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHere are the guidelines you must follow when answering the question above:\u001b[0m                                      \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mAnswer with a comma separated list\u001b[0m                                                                              \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m HfApiModel - Qwen/Qwen2.5-Coder-32B-Instruct \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca993f-05cc0660560d9c776abcc023;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">d8e87e54-2dbb-4f24-98c1-2dc9690ebc7b</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca993f-05cc0660560d9c776abcc023;\u001b[0m\u001b[93md8e87e54-2dbb-4f24-98c1-2dc9690ebc7b\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 0.24 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 0.24 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca993f-734dceea3841fa4725e0eec6;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">256320ae-e2ed-4577-92d3-b9235eeca5cd</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca993f-734dceea3841fa4725e0eec6;\u001b[0m\u001b[93m256320ae-e2ed-4577-92d3-b9235eeca5cd\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 0.22 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 0.22 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca9940-0a3a521f69f35c1f5035d305;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">2c966691-157c-412d-899b-a0c52c784f63</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca9940-0a3a521f69f35c1f5035d305;\u001b[0m\u001b[93m2c966691-157c-412d-899b-a0c52c784f63\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 0.26 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 3: Duration 0.26 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m4\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca9940-23213fc6079dfde2679eb50f;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">218368f5-5baa-42e7-a284-908a7ac2778a</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca9940-23213fc6079dfde2679eb50f;\u001b[0m\u001b[93m218368f5-5baa-42e7-a284-908a7ac2778a\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 4: Duration 0.37 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 4: Duration 0.37 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m5\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca9940-2946d5510ff99ae23219842d;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">3a7127bb-b7d5-4bfd-ba83-bc2b3089bda6</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca9940-2946d5510ff99ae23219842d;\u001b[0m\u001b[93m3a7127bb-b7d5-4bfd-ba83-bc2b3089bda6\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 5: Duration 0.24 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 5: Duration 0.24 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m6\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca9941-11656b7f3aaa790f38c728f9;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">60916ffb-8f41-411a-a87b-98589d8cf806</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca9941-11656b7f3aaa790f38c728f9;\u001b[0m\u001b[93m60916ffb-8f41-411a-a87b-98589d8cf806\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 6: Duration 0.24 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 6: Duration 0.24 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m7\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca9941-0cc5c1364f8697b62302a0f9;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">bf38bad0-0934-4d0e-a334-6147737dd939</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca9941-0cc5c1364f8697b62302a0f9;\u001b[0m\u001b[93mbf38bad0-0934-4d0e-a334-6147737dd939\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 7: Duration 0.23 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 7: Duration 0.23 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Reached max steps.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mReached max steps.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 8: Duration 0.44 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 8: Duration 0.44 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "question = \"What are the unique set of merchants in the payments data?\"\n",
        "guidelines = \"Answer with a comma separated list\"\n",
        "\n",
        "PROMPT = PROMPT.format(\n",
        "    context_files=context_files,\n",
        "    question=question,\n",
        "    guidelines=guidelines\n",
        ")\n",
        "\n",
        "answer = agent.run(PROMPT)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c0a7bfd6b8b2e014",
      "metadata": {
        "id": "c0a7bfd6b8b2e014"
      },
      "source": [
        "## 3.5 Warmup Agent"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "25b38eb8fde3cb05",
      "metadata": {
        "id": "25b38eb8fde3cb05"
      },
      "source": [
        "We encourage to first get a good performing agent on this smaller dev split of the benchmark since running against the full benchmark can be very costly both in time and compute.\n",
        "\n",
        "Once we are confident with our agent, we can try to create a submission to the leaderboard using the complete dataset of tasks\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "45833c10-e11c-4586-bd84-95cd828d9344",
      "metadata": {
        "id": "45833c10-e11c-4586-bd84-95cd828d9344"
      },
      "outputs": [],
      "source": [
        "MAX_STEPS = 7\n",
        "MODEL_ID = \"Qwen/Qwen2.5-Coder-32B-Instruct\"\n",
        "\n",
        "agent = CodeAgent(\n",
        "    tools=[], # evaluating zero-shot capabilities of the model when writing code\n",
        "    model=HfApiModel(MODEL_ID),\n",
        "    additional_authorized_imports=[\"numpy\", \"pandas\", \"json\", \"csv\", \"os\", \"glob\", \"markdown\"],\n",
        "    max_steps=MAX_STEPS,\n",
        ")\n",
        "\n",
        "# give agent power to open files\n",
        "agent.python_executor.send_tools({\"open\": open})"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "id": "c5bbe974-31e5-4fda-acde-dae5e8d6ba29",
      "metadata": {
        "collapsed": true,
        "id": "c5bbe974-31e5-4fda-acde-dae5e8d6ba29"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You are an expert data analyst and you will answer factoid questions by loading and referencing the </span>            <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">files/documents listed below.</span>                                                                                   <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You have these files available:</span>                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">['/tmp/DABstep-data/data/context/acquirer_countries.csv', '/tmp/DABstep-data/data/context/payments-readme.md', </span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/payments.csv', '/tmp/DABstep-data/data/context/merchant_category_codes.csv', </span>   <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/fees.json', '/tmp/DABstep-data/data/context/merchant_data.json', </span>               <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/manual.md'\\]</span>                                                                    <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Don't forget to reference any documentation in the data dir before answering a question.</span>                        <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Here is the question you need to answer:</span>                                                                        <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Which issuing country has the highest number of transactions?</span>                                                   <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Here are the guidelines you must follow when answering the question above:</span>                                      <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Answer must be just the country code. If a question does not have a relevant or applicable answer for the task,</span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">please respond with 'Not Applicable'</span>                                                                            <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ HfApiModel - Qwen/Qwen2.5-Coder-32B-Instruct ──────────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou are an expert data analyst and you will answer factoid questions by loading and referencing the \u001b[0m            \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mfiles/documents listed below.\u001b[0m                                                                                   \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou have these files available:\u001b[0m                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m['/tmp/DABstep-data/data/context/acquirer_countries.csv', '/tmp/DABstep-data/data/context/payments-readme.md', \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/payments.csv', '/tmp/DABstep-data/data/context/merchant_category_codes.csv', \u001b[0m   \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/fees.json', '/tmp/DABstep-data/data/context/merchant_data.json', \u001b[0m               \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/manual.md'\\]\u001b[0m                                                                    \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mDon't forget to reference any documentation in the data dir before answering a question.\u001b[0m                        \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHere is the question you need to answer:\u001b[0m                                                                        \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mWhich issuing country has the highest number of transactions?\u001b[0m                                                   \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHere are the guidelines you must follow when answering the question above:\u001b[0m                                      \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mAnswer must be just the country code. If a question does not have a relevant or applicable answer for the task,\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mplease respond with 'Not Applicable'\u001b[0m                                                                            \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m HfApiModel - Qwen/Qwen2.5-Coder-32B-Instruct \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a6-00c93da066bd06ee173d41dc;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">9c650ac3-ad75-49c4-bad5-5592e2a5dbe6</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a6-00c93da066bd06ee173d41dc;\u001b[0m\u001b[93m9c650ac3-ad75-49c4-bad5-5592e2a5dbe6\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 0.22 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 0.22 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a6-3152ae2b7684aa9a02376cbd;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">23e4ceb5-e784-4cef-b77f-fba3d1edd80e</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a6-3152ae2b7684aa9a02376cbd;\u001b[0m\u001b[93m23e4ceb5-e784-4cef-b77f-fba3d1edd80e\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 0.25 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 0.25 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a6-64dfeb957655231b10536c47;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">64165d08-4be1-4f3f-962e-98ec56d77fd1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a6-64dfeb957655231b10536c47;\u001b[0m\u001b[93m64165d08-4be1-4f3f-962e-98ec56d77fd1\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 0.25 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 3: Duration 0.25 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m4\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a7-5ee7da503111c1da2d551f3c;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">b3c3ecbf-48cd-4a29-9c75-e31eefd1bb35</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a7-5ee7da503111c1da2d551f3c;\u001b[0m\u001b[93mb3c3ecbf-48cd-4a29-9c75-e31eefd1bb35\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 4: Duration 0.23 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 4: Duration 0.23 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m5\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a7-1eb60c3a5b4e5b774407a902;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">2f8002a8-7e93-4483-8fc8-52be1cd5fc15</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a7-1eb60c3a5b4e5b774407a902;\u001b[0m\u001b[93m2f8002a8-7e93-4483-8fc8-52be1cd5fc15\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 5: Duration 0.23 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 5: Duration 0.23 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m6\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a8-56ee655c4218d03f226d930d;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">9bc1c9f9-9a4e-4aaa-8586-47ac3f397d90</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a8-56ee655c4218d03f226d930d;\u001b[0m\u001b[93m9bc1c9f9-9a4e-4aaa-8586-47ac3f397d90\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 6: Duration 0.57 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 6: Duration 0.57 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m7\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a8-03c5cd265a79106f6be8ff8f;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">1b4d4ed4-6d41-4ca0-a3d5-fda902389513</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a8-03c5cd265a79106f6be8ff8f;\u001b[0m\u001b[93m1b4d4ed4-6d41-4ca0-a3d5-fda902389513\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 7: Duration 0.23 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 7: Duration 0.23 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Reached max steps.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mReached max steps.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 8: Duration 0.45 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 8: Duration 0.45 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "The 'logs' attribute is deprecated and will soon be removed. Please use 'self.memory.steps' instead.\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You are an expert data analyst and you will answer factoid questions by loading and referencing the </span>            <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">files/documents listed below.</span>                                                                                   <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You have these files available:</span>                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">['/tmp/DABstep-data/data/context/acquirer_countries.csv', '/tmp/DABstep-data/data/context/payments-readme.md', </span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/payments.csv', '/tmp/DABstep-data/data/context/merchant_category_codes.csv', </span>   <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/fees.json', '/tmp/DABstep-data/data/context/merchant_data.json', </span>               <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/manual.md'\\]</span>                                                                    <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Don't forget to reference any documentation in the data dir before answering a question.</span>                        <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Here is the question you need to answer:</span>                                                                        <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">What is the top country (ip_country) for fraud? A. NL, B. BE, C. ES, D. FR</span>                                      <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Here are the guidelines you must follow when answering the question above:</span>                                      <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Answer must be in the form 'X. Y' where X is the option's letter chosen and Y is the option's country code. If </span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">a question does not have a relevant or applicable answer for the task, please respond with 'Not Applicable'</span>     <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ HfApiModel - Qwen/Qwen2.5-Coder-32B-Instruct ──────────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou are an expert data analyst and you will answer factoid questions by loading and referencing the \u001b[0m            \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mfiles/documents listed below.\u001b[0m                                                                                   \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou have these files available:\u001b[0m                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m['/tmp/DABstep-data/data/context/acquirer_countries.csv', '/tmp/DABstep-data/data/context/payments-readme.md', \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/payments.csv', '/tmp/DABstep-data/data/context/merchant_category_codes.csv', \u001b[0m   \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/fees.json', '/tmp/DABstep-data/data/context/merchant_data.json', \u001b[0m               \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/manual.md'\\]\u001b[0m                                                                    \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mDon't forget to reference any documentation in the data dir before answering a question.\u001b[0m                        \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHere is the question you need to answer:\u001b[0m                                                                        \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mWhat is the top country (ip_country) for fraud? A. NL, B. BE, C. ES, D. FR\u001b[0m                                      \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHere are the guidelines you must follow when answering the question above:\u001b[0m                                      \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mAnswer must be in the form 'X. Y' where X is the option's letter chosen and Y is the option's country code. If \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1ma question does not have a relevant or applicable answer for the task, please respond with 'Not Applicable'\u001b[0m     \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m HfApiModel - Qwen/Qwen2.5-Coder-32B-Instruct \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a8-71b196615c4cfa95306a19c6;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">58af3c6a-9b33-449a-99ea-bbc080ffde46</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a8-71b196615c4cfa95306a19c6;\u001b[0m\u001b[93m58af3c6a-9b33-449a-99ea-bbc080ffde46\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 0.22 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 0.22 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a8-7ad616c500b0b96d4302eafa;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">eca34b79-c727-4ab9-9d3e-40eda7177480</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a8-7ad616c500b0b96d4302eafa;\u001b[0m\u001b[93meca34b79-c727-4ab9-9d3e-40eda7177480\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 0.23 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 0.23 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a9-4e70e978656020c80216a31b;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">c69a1c9c-7c93-4928-a85d-8402d5dee7cf</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a9-4e70e978656020c80216a31b;\u001b[0m\u001b[93mc69a1c9c-7c93-4928-a85d-8402d5dee7cf\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 0.25 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 3: Duration 0.25 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m4\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a9-29388ffa68c1da2267ee0c3b;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">f5bc2693-ba88-4a0c-94e2-888028e27b99</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a9-29388ffa68c1da2267ee0c3b;\u001b[0m\u001b[93mf5bc2693-ba88-4a0c-94e2-888028e27b99\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 4: Duration 0.22 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 4: Duration 0.22 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m5\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a9-581f93a14755701311069849;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">83f957c2-8aeb-4fe7-81de-de332f7c9e39</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a9-581f93a14755701311069849;\u001b[0m\u001b[93m83f957c2-8aeb-4fe7-81de-de332f7c9e39\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 5: Duration 0.22 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 5: Duration 0.22 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m6\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99a9-41e42a8e4d7164880336f6a9;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">e381148b-c597-404f-b8b9-f4a77648610c</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99a9-41e42a8e4d7164880336f6a9;\u001b[0m\u001b[93me381148b-c597-404f-b8b9-f4a77648610c\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 6: Duration 0.23 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 6: Duration 0.23 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m7\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99aa-36ae6e5d2551328d29f50573;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">5fcdfc54-6fb2-4b41-b4f8-a905308a7cb1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99aa-36ae6e5d2551328d29f50573;\u001b[0m\u001b[93m5fcdfc54-6fb2-4b41-b4f8-a905308a7cb1\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 7: Duration 0.26 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 7: Duration 0.26 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Reached max steps.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mReached max steps.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 8: Duration 0.49 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 8: Duration 0.49 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "The 'logs' attribute is deprecated and will soon be removed. Please use 'self.memory.steps' instead.\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">╭──────────────────────────────────────────────────── </span><span style=\"color: #d4b702; text-decoration-color: #d4b702; font-weight: bold\">New run</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ────────────────────────────────────────────────────╮</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You are an expert data analyst and you will answer factoid questions by loading and referencing the </span>            <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">files/documents listed below.</span>                                                                                   <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">You have these files available:</span>                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">['/tmp/DABstep-data/data/context/acquirer_countries.csv', '/tmp/DABstep-data/data/context/payments-readme.md', </span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/payments.csv', '/tmp/DABstep-data/data/context/merchant_category_codes.csv', </span>   <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/fees.json', '/tmp/DABstep-data/data/context/merchant_data.json', </span>               <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">'/tmp/DABstep-data/data/context/manual.md'\\]</span>                                                                    <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Don't forget to reference any documentation in the data dir before answering a question.</span>                        <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Here is the question you need to answer:</span>                                                                        <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Is Martinis_Fine_Steakhouse in danger of getting a high-fraud rate fine?</span>                                        <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Here are the guidelines you must follow when answering the question above:</span>                                      <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">Answer must be just either yes or no. If a question does not have a relevant or applicable answer for the task,</span> <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span> <span style=\"font-weight: bold\">please respond with 'Not Applicable'</span>                                                                            <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>                                                                                                                 <span style=\"color: #d4b702; text-decoration-color: #d4b702\">│</span>\n",
              "<span style=\"color: #d4b702; text-decoration-color: #d4b702\">╰─ HfApiModel - Qwen/Qwen2.5-Coder-32B-Instruct ──────────────────────────────────────────────────────────────────╯</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m╭─\u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[1;38;2;212;183;2mNew run\u001b[0m\u001b[38;2;212;183;2m \u001b[0m\u001b[38;2;212;183;2m───────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╮\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou are an expert data analyst and you will answer factoid questions by loading and referencing the \u001b[0m            \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mfiles/documents listed below.\u001b[0m                                                                                   \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mYou have these files available:\u001b[0m                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m['/tmp/DABstep-data/data/context/acquirer_countries.csv', '/tmp/DABstep-data/data/context/payments-readme.md', \u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/payments.csv', '/tmp/DABstep-data/data/context/merchant_category_codes.csv', \u001b[0m   \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/fees.json', '/tmp/DABstep-data/data/context/merchant_data.json', \u001b[0m               \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1m'/tmp/DABstep-data/data/context/manual.md'\\]\u001b[0m                                                                    \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mDon't forget to reference any documentation in the data dir before answering a question.\u001b[0m                        \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHere is the question you need to answer:\u001b[0m                                                                        \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mIs Martinis_Fine_Steakhouse in danger of getting a high-fraud rate fine?\u001b[0m                                        \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mHere are the guidelines you must follow when answering the question above:\u001b[0m                                      \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mAnswer must be just either yes or no. If a question does not have a relevant or applicable answer for the task,\u001b[0m \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m \u001b[1mplease respond with 'Not Applicable'\u001b[0m                                                                            \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m│\u001b[0m                                                                                                                 \u001b[38;2;212;183;2m│\u001b[0m\n",
              "\u001b[38;2;212;183;2m╰─\u001b[0m\u001b[38;2;212;183;2m HfApiModel - Qwen/Qwen2.5-Coder-32B-Instruct \u001b[0m\u001b[38;2;212;183;2m─────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;212;183;2m─╯\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m1\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99aa-76a92e4d797823ef1fe25363;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">885e1292-5682-474a-a681-105fcffd79b6</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99aa-76a92e4d797823ef1fe25363;\u001b[0m\u001b[93m885e1292-5682-474a-a681-105fcffd79b6\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 1: Duration 0.22 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 1: Duration 0.22 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m2\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99aa-100b0f5753a8912d4044c524;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">f3bce3ba-afe5-40cb-957a-78368ab81924</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99aa-100b0f5753a8912d4044c524;\u001b[0m\u001b[93mf3bce3ba-afe5-40cb-957a-78368ab81924\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 2: Duration 0.23 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 2: Duration 0.23 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m3\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99ab-16937ddd676a88b929766a2e;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">e9088692-758e-4c63-9952-a892bfe99f91</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99ab-16937ddd676a88b929766a2e;\u001b[0m\u001b[93me9088692-758e-4c63-9952-a892bfe99f91\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 3: Duration 0.22 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 3: Duration 0.22 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m4\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99ab-59b1b3ff3ca13cc51131ff43;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">9139ebb5-b059-4c97-9b43-ecf38f5748b8</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99ab-59b1b3ff3ca13cc51131ff43;\u001b[0m\u001b[93m9139ebb5-b059-4c97-9b43-ecf38f5748b8\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 4: Duration 0.22 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 4: Duration 0.22 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m5\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99ab-3bed935326922d9b369c2590;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">0cc35236-556e-4f9e-a933-9fc79cecfa34</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99ab-3bed935326922d9b369c2590;\u001b[0m\u001b[93m0cc35236-556e-4f9e-a933-9fc79cecfa34\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 5: Duration 0.22 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 5: Duration 0.22 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m6\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99ab-26efb84308d2b6f73f85fc6d;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">95f56d02-35ab-4e9a-b8dc-d92dc09ab8aa</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99ab-26efb84308d2b6f73f85fc6d;\u001b[0m\u001b[93m95f56d02-35ab-4e9a-b8dc-d92dc09ab8aa\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 6: Duration 0.23 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 6: Duration 0.23 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d4b702; text-decoration-color: #d4b702\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ </span><span style=\"font-weight: bold\">Step </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7</span><span style=\"color: #d4b702; text-decoration-color: #d4b702\"> ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[38;2;212;183;2m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ \u001b[0m\u001b[1mStep \u001b[0m\u001b[1;36m7\u001b[0m\u001b[38;2;212;183;2m ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Error in generating model output:</span>\n",
              "<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">402</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> Client Error: Payment Required for url: </span>\n",
              "<span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> (Request ID: </span>\n",
              "<span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">Root</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">=</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">-67ca99ab-47024fa9481076ab4ad8fe73;</span><span style=\"color: #ffff00; text-decoration-color: #ffff00\">b888b36f-0322-4292-8aa0-26cb64b62664</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span>\n",
              "\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">You have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> more monthly </span>\n",
              "<span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">allowance.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mError in generating model output:\u001b[0m\n",
              "\u001b[1;36m402\u001b[0m\u001b[1;31m Client Error: Payment Required for url: \u001b[0m\n",
              "\u001b[4;94mhttps://router.huggingface.co/hf-inference/models/Qwen/Qwen2.5-Coder-32B-Instruct/v1/chat/completions\u001b[0m\u001b[1;31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;31mRequest ID: \u001b[0m\n",
              "\u001b[1;33mRoot\u001b[0m\u001b[1;31m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m-67ca99ab-47024fa9481076ab4ad8fe73;\u001b[0m\u001b[93mb888b36f-0322-4292-8aa0-26cb64b62664\u001b[0m\u001b[1;31m)\u001b[0m\n",
              "\n",
              "\u001b[1;31mYou have exceeded your monthly included credits for Inference Providers. Subscribe to PRO to get 2\u001b[0m\u001b[1;36m0x\u001b[0m\u001b[1;31m more monthly \u001b[0m\n",
              "\u001b[1;31mallowance.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 7: Duration 0.23 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 7: Duration 0.23 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">Reached max steps.</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1;31mReached max steps.\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">[Step 8: Duration 0.46 seconds]</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[2m[Step 8: Duration 0.46 seconds]\u001b[0m\n"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "The 'logs' attribute is deprecated and will soon be removed. Please use 'self.memory.steps' instead.\n"
          ]
        }
      ],
      "source": [
        "SPLIT = \"dev\"\n",
        "MAX_TASKS = 3 # It takes ~20 min to run the agent on all the dev set, so lets start just with the 2 first tasks\n",
        "RUN_ID = int(time.time())\n",
        "\n",
        "# load dataset from Hub\n",
        "dev_task_dataset = datasets.load_dataset(\"adyen/DABstep\", name=\"tasks\", split=f\"{SPLIT}[:{MAX_TASKS}]\")\n",
        "agent_answers = run_benchmark(dataset=dev_task_dataset, agent=agent, context_files=context_files)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "J4kix8d7DDlv",
      "metadata": {
        "id": "J4kix8d7DDlv"
      },
      "source": [
        "### Evaluation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "id": "K8EBeWcj1yqj",
      "metadata": {
        "id": "K8EBeWcj1yqj"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>task_id</th>\n",
              "      <th>agent_answer</th>\n",
              "      <th>reasoning_trace</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5</td>\n",
              "      <td>Error in generating final LLM output:\\n402 Cli...</td>\n",
              "      <td>[SystemPromptStep(system_prompt='You are an ex...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>49</td>\n",
              "      <td>Error in generating final LLM output:\\n402 Cli...</td>\n",
              "      <td>[SystemPromptStep(system_prompt='You are an ex...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>70</td>\n",
              "      <td>Error in generating final LLM output:\\n402 Cli...</td>\n",
              "      <td>[SystemPromptStep(system_prompt='You are an ex...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  task_id                                       agent_answer  \\\n",
              "0       5  Error in generating final LLM output:\\n402 Cli...   \n",
              "1      49  Error in generating final LLM output:\\n402 Cli...   \n",
              "2      70  Error in generating final LLM output:\\n402 Cli...   \n",
              "\n",
              "                                     reasoning_trace  \n",
              "0  [SystemPromptStep(system_prompt='You are an ex...  \n",
              "1  [SystemPromptStep(system_prompt='You are an ex...  \n",
              "2  [SystemPromptStep(system_prompt='You are an ex...  "
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Lets visualize the answers from our agent\n",
        "pd.DataFrame(agent_answers)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "id": "SGTsCcqnwGKS",
      "metadata": {
        "id": "SGTsCcqnwGKS"
      },
      "outputs": [],
      "source": [
        "# Now we evaluate the answers\n",
        "agent_answers = pd.DataFrame(agent_answers)\n",
        "tasks_df = dev_task_dataset.to_pandas()\n",
        "task_scores = evaluate(agent_answers=agent_answers, tasks_with_gt=tasks_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "id": "GHDBLnbCB9e8",
      "metadata": {
        "collapsed": true,
        "id": "GHDBLnbCB9e8"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>submission_id</th>\n",
              "      <th>task_id</th>\n",
              "      <th>score</th>\n",
              "      <th>level</th>\n",
              "      <th>agent_answer</th>\n",
              "      <th>correct_answer</th>\n",
              "      <th>question</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td></td>\n",
              "      <td>5</td>\n",
              "      <td>False</td>\n",
              "      <td>easy</td>\n",
              "      <td>Error in generating final LLM output:\\n402 Cli...</td>\n",
              "      <td>NL</td>\n",
              "      <td>Which issuing country has the highest number o...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td></td>\n",
              "      <td>49</td>\n",
              "      <td>False</td>\n",
              "      <td>easy</td>\n",
              "      <td>Error in generating final LLM output:\\n402 Cli...</td>\n",
              "      <td>B. BE</td>\n",
              "      <td>What is the top country (ip_country) for fraud...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td></td>\n",
              "      <td>70</td>\n",
              "      <td>False</td>\n",
              "      <td>easy</td>\n",
              "      <td>Error in generating final LLM output:\\n402 Cli...</td>\n",
              "      <td>Not Applicable</td>\n",
              "      <td>Is Martinis_Fine_Steakhouse in danger of getti...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  submission_id task_id  score level  \\\n",
              "0                     5  False  easy   \n",
              "1                    49  False  easy   \n",
              "2                    70  False  easy   \n",
              "\n",
              "                                        agent_answer  correct_answer  \\\n",
              "0  Error in generating final LLM output:\\n402 Cli...              NL   \n",
              "1  Error in generating final LLM output:\\n402 Cli...           B. BE   \n",
              "2  Error in generating final LLM output:\\n402 Cli...  Not Applicable   \n",
              "\n",
              "                                            question  \n",
              "0  Which issuing country has the highest number o...  \n",
              "1  What is the top country (ip_country) for fraud...  \n",
              "2  Is Martinis_Fine_Steakhouse in danger of getti...  "
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Inspect scores\n",
        "task_scores = pd.DataFrame(task_scores)\n",
        "task_scores[\"correct_answer\"] = tasks_df[\"answer\"]\n",
        "task_scores[\"question\"] = tasks_df[\"question\"]\n",
        "task_scores"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "1NXz1KWfqYW7",
      "metadata": {
        "id": "1NXz1KWfqYW7"
      },
      "source": [
        "## Final submission\n",
        "Now we run the agent against the full benchmark and create a submission file to submit to the leaderboard"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "tNRfPESApkLb",
      "metadata": {
        "id": "tNRfPESApkLb"
      },
      "source": [
        "\n",
        "⚠️ *THIS WILL TAKE A LONG TIME IF YOU RUN THE FOR THE FULL BENCHMARK (450 tasks)* ⚠️"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "i4-FX9YUtUG9",
      "metadata": {
        "id": "i4-FX9YUtUG9"
      },
      "outputs": [],
      "source": [
        "# Crate dir to store agent run results\n",
        "RUNS_DIR = Path().resolve() / \"runs\"\n",
        "RUNS_DIR.mkdir(parents=True, exist_ok=True)\n",
        "\n",
        "# now we run all dataset\n",
        "SPLIT = \"default\"\n",
        "RUN_ID = int(time.time())\n",
        "\n",
        "# load dataset from Hub\n",
        "benchmark_task_dataset = datasets.load_dataset(\"adyen/DABstep\", name=\"tasks\", split=SPLIT)\n",
        "agent_answers = run_benchmark(dataset=benchmark_task_dataset, agent=agent)\n",
        "\n",
        "write_jsonl(agent_answers, RUNS_DIR / f\"{RUN_ID}.jsonl\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "P_5PZjelDXTb",
      "metadata": {
        "id": "P_5PZjelDXTb"
      },
      "outputs": [],
      "source": [
        "# Lets visualize the answers from our agent\n",
        "pd.DataFrame(agent_answers)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c6729b79-9202-4fd1-911b-9e3f3feafbe7",
      "metadata": {
        "id": "c6729b79-9202-4fd1-911b-9e3f3feafbe7"
      },
      "source": [
        "## Submission to Leaderboard\n",
        "\n",
        "Your submission file should be saved in the `runs` folder of this directory.\n",
        "\n",
        "Now is the fun part, were you submit it to the Leaderboard and see your score!\n",
        "\n",
        "The leaderboard is here: https://huggingface.co/spaces/adyen/DABstep\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c0706ba7-7549-4843-97d3-da3b6d16b37d",
      "metadata": {
        "id": "c0706ba7-7549-4843-97d3-da3b6d16b37d"
      },
      "source": [
        "### Analysis your submission scores\n",
        "\n",
        "Once you have made a submission you can inspect the scores of your submission like these. Task scores are more granular task-level scores."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "431f88a1-fb6e-47f8-99b7-0248f85242ad",
      "metadata": {
        "id": "431f88a1-fb6e-47f8-99b7-0248f85242ad"
      },
      "outputs": [],
      "source": [
        "submissions_dataset = datasets.load_dataset(\"adyen/DABstep\", name=\"submissions\", split=\"default\")\n",
        "task_scores_dataset = datasets.load_dataset(\"adyen/DABstep\", name=\"task_scores\", split=\"default\")\n",
        "\n",
        "AGENT_NAME = \"Claude 3.5 Sonnet ReACT Baseline\" # the agent name given in the submission form\n",
        "ORGANISATION = \"Adyen\" # the organization name given in the submission form\n",
        "SUBMISSION_ID = f\"{ORGANISATION}-{AGENT_NAME}\"\n",
        "\n",
        "submissions_dataset_df = submissions_dataset.filter(lambda row: row[\"submission_id\"] == SUBMISSION_ID).to_pandas()\n",
        "task_scores_dataset_df = task_scores_dataset.filter(lambda row: row[\"submission_id\"] == SUBMISSION_ID).to_pandas()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "kQqvzdxcFJAy",
      "metadata": {
        "id": "kQqvzdxcFJAy"
      },
      "outputs": [],
      "source": [
        "submissions_dataset_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "yg8e36v5FSuX",
      "metadata": {
        "id": "yg8e36v5FSuX"
      },
      "outputs": [],
      "source": [
        "task_scores_dataset_df"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "79db21cc-2f3f-4be4-bd78-3e57325d976d",
      "metadata": {
        "id": "79db21cc-2f3f-4be4-bd78-3e57325d976d"
      },
      "source": [
        "## Next Steps\n",
        "\n",
        "This is a few-shot ReAct prompt by deafult\n",
        "\n",
        "Some things you can try next:\n",
        "\n",
        "* do an error analysis and see why you failed certain questions\n",
        "* tweaking the zero-shot prompt\n",
        "* try a few-shot prompt\n",
        "* try different agentic workflows like: CoT"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "data-agent-ac6zb7qQ-py3.12",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.4"
    },
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "00ad3f4fd693465a8957812777bb111e": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "03970c1935d9481f9ca8812b82508db2": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "03ff4796b08a444cbd0666da4a0a2b02": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "075ee5082070487cb9713a66f5f15ae0": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "07639053a134496b9e70630fb33fb7f2": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "082538c17a1a47e0b73241778cf7a417": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "PasswordModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "PasswordModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "PasswordView",
            "continuous_update": true,
            "description": "Token:",
            "description_tooltip": null,
            "disabled": false,
            "layout": "IPY_MODEL_7a81c87b63a24a71ae3850ed8cbb658b",
            "placeholder": "​",
            "style": "IPY_MODEL_667667a167c64a02a0c6223afdde5caf",
            "value": ""
          }
        },
        "0a9746c0c3894893a6a5c7f0c83c5a80": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "0d60a69a4c6649db8d714d20deb40259": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "0dd2b1574a404d938dee62f4017abb31": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_03970c1935d9481f9ca8812b82508db2",
            "placeholder": "​",
            "style": "IPY_MODEL_2e2a7bbb4a114d40860a873a16d80b6d",
            "value": " 194/194 [00:00&lt;00:00, 11.4kB/s]"
          }
        },
        "0f4e627ea9e94aa48e6cbfba9a83673c": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_f32c3e0bb8234ded84228a62db0ef944",
            "placeholder": "​",
            "style": "IPY_MODEL_fd50bafbb2ed44c0adf28ec98894b158",
            "value": " 6.86k/6.86k [00:00&lt;00:00, 393kB/s]"
          }
        },
        "100c0b5db43c41a58fd39f38e2063c3a": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "10a25b9a67d146e58158a3925be23894": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "11383c9a05874ce5a3adbffb96814cc3": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_c67fcb46f5f74f9db1205ff52e4cdade",
            "placeholder": "​",
            "style": "IPY_MODEL_864fa640c5754b9f98252b7fb3caba1c",
            "value": "(…)%2Fcontext%2Fmerchant_category_codes.csv: 100%"
          }
        },
        "129985da244b40bea66108e6e8d73bee": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "12b34f7a65504bceba07d73d704276df": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "135631e2718a4cf380ee08735cb48aac": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_74e6a5cde5e94b6a815d3cc954086d74",
            "max": 194,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_075ee5082070487cb9713a66f5f15ae0",
            "value": 194
          }
        },
        "13a21bb89ea8466cab8844465a3c22ff": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1c3959fa2ca3438f898159a7b9eedd88",
            "placeholder": "​",
            "style": "IPY_MODEL_7b43a6e66cdf48a0ba5bfe06a2a45896",
            "value": "<center> <img\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.svg\nalt='Hugging Face'> <br> Copy a token from <a\nhref=\"https://huggingface.co/settings/tokens\" target=\"_blank\">your Hugging Face\ntokens page</a> and paste it below. <br> Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file. </center>"
          }
        },
        "13e22d258f03476e94cc970fbb12bb84": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "168cdb175f3846b7a5477481ba221599": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1adeba1dcf6941a284ed7e988dc24a29": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "1c290f90f0c94840b642c1c0995ca979": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "VBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "VBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "VBoxView",
            "box_style": "",
            "children": [],
            "layout": "IPY_MODEL_49f0ff75a5b0431e82db71a74ae643f7"
          }
        },
        "1c3959fa2ca3438f898159a7b9eedd88": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "26578dfd05524f00a709278717d9b8d7": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "2a4ef0501af14781bdcdddd1c9d1f8ed": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "2e2a7bbb4a114d40860a873a16d80b6d": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "2e4e1bbe06e74a16bfca3f006ae99de7": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "318d1ed1f61d448aa8bf75bbc9b06bf8": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "3205c5c9f34641c1b1b7e1a93bc96388": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_3ee05a1a71ee403aa4da5115a27e3351",
            "placeholder": "​",
            "style": "IPY_MODEL_8bfbd58f63e4424eb9477e63956dd7fb",
            "value": "data%2Fcontext%2Ffees.json: 100%"
          }
        },
        "3663a3e192344ede9892d2d7fdab29dd": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "397fb9eab15b4d4d9bb1033ddfc51eb0": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_a345fd91f9ea4a6398d7555bee17af0f",
              "IPY_MODEL_54331fcce9ea401bbea3fb491dde226f",
              "IPY_MODEL_a5970261108646f8a142c3560037e0b4"
            ],
            "layout": "IPY_MODEL_3d023d7a03e74ae5aa15ff5974ca64e1"
          }
        },
        "3a1d3323d986452eb6a933c8240f663e": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_6f3ba8a8f8c646d1abf380fe81e2d40d",
            "placeholder": "​",
            "style": "IPY_MODEL_f62394b0399347e5b3b273d93e8a8b7a",
            "value": " 531k/531k [00:00&lt;00:00, 20.5MB/s]"
          }
        },
        "3a49ddea14cf4deca3ac2b5899155176": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "3c8419654b454c2ebdb66b248fb70399": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_00ad3f4fd693465a8957812777bb111e",
            "max": 22127,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_2a4ef0501af14781bdcdddd1c9d1f8ed",
            "value": 22127
          }
        },
        "3d023d7a03e74ae5aa15ff5974ca64e1": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "3e9d4fa01bcc40bbb8086d5c0a29e6e7": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_3205c5c9f34641c1b1b7e1a93bc96388",
              "IPY_MODEL_ca4fc1a9225e46619b0b4c914343751b",
              "IPY_MODEL_3a1d3323d986452eb6a933c8240f663e"
            ],
            "layout": "IPY_MODEL_eb1ae68f0687414ea70421433de1d32b"
          }
        },
        "3ee05a1a71ee403aa4da5115a27e3351": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "3efe8ed773ff47d594dbef7c7797d583": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "4572af0d495e4343bfcf48ad55c78daa": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "47ebb6f6c5f74f88a3e8502aee64e4ca": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_9065334c07b745229166b6ae560bc359",
              "IPY_MODEL_a59a92b03d6d48d3a1ad7a38dac5cb60",
              "IPY_MODEL_0f4e627ea9e94aa48e6cbfba9a83673c"
            ],
            "layout": "IPY_MODEL_d513f533008f4b8d932d7d9409961233"
          }
        },
        "49f0ff75a5b0431e82db71a74ae643f7": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": "center",
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": "flex",
            "flex": null,
            "flex_flow": "column",
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": "50%"
          }
        },
        "4e81b68ec35a46f3a5c1be754947b423": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "54331fcce9ea401bbea3fb491dde226f": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_bfd58f9b45164337a31f049566bd8ff8",
            "max": 23581339,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_9c0bd39d12ca41149f5de25ef27852ee",
            "value": 23581339
          }
        },
        "55711a597ce747509882fb319f2b0dd6": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_ef036b59c09d45ecb015df208ab3d0d8",
              "IPY_MODEL_135631e2718a4cf380ee08735cb48aac",
              "IPY_MODEL_0dd2b1574a404d938dee62f4017abb31"
            ],
            "layout": "IPY_MODEL_2e4e1bbe06e74a16bfca3f006ae99de7"
          }
        },
        "5a451547bafb426391e2b6722299b9a0": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "LabelModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "LabelModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "LabelView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_4572af0d495e4343bfcf48ad55c78daa",
            "placeholder": "​",
            "style": "IPY_MODEL_e3e416e10f9348c6a3f2f7394be4b540",
            "value": "Connecting..."
          }
        },
        "667667a167c64a02a0c6223afdde5caf": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "69d2744659df4d77a20290fde2e9b42d": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "6e23fd347b6f4aedaf8e498f05a8d60e": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_eae5cb4587ac4a448672e11599f61967",
              "IPY_MODEL_3c8419654b454c2ebdb66b248fb70399",
              "IPY_MODEL_b6125508b1a14404bbb64affa8839e62"
            ],
            "layout": "IPY_MODEL_ac9c08264365496eb5073be6f78fc5d5"
          }
        },
        "6f3ba8a8f8c646d1abf380fe81e2d40d": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "74e6a5cde5e94b6a815d3cc954086d74": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "777cfc5a23224768b159e88d18a036ed": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_10a25b9a67d146e58158a3925be23894",
            "max": 26611,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_03ff4796b08a444cbd0666da4a0a2b02",
            "value": 26611
          }
        },
        "7a74c53ad53c47da99268d797ae07f11": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_168cdb175f3846b7a5477481ba221599",
            "max": 1719,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_0a9746c0c3894893a6a5c7f0c83c5a80",
            "value": 1719
          }
        },
        "7a81c87b63a24a71ae3850ed8cbb658b": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "7b43a6e66cdf48a0ba5bfe06a2a45896": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "8428879f27cc4c40a663c74b94471395": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ef567a9f82ce48b8b87363420a68b569",
            "placeholder": "​",
            "style": "IPY_MODEL_c20a46abb413449bab848efc06ee5055",
            "value": "\n<b>Pro Tip:</b> If you don't already have one, you can create a dedicated\n'notebooks' token with 'write' access, that you can then easily reuse for all\nnotebooks. </center>"
          }
        },
        "864fa640c5754b9f98252b7fb3caba1c": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "88a235144a284709b236cfad23bafad5": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_11383c9a05874ce5a3adbffb96814cc3",
              "IPY_MODEL_777cfc5a23224768b159e88d18a036ed",
              "IPY_MODEL_8bb6984f9e0d473cb44a05909e1eb9a3"
            ],
            "layout": "IPY_MODEL_07639053a134496b9e70630fb33fb7f2"
          }
        },
        "8bb6984f9e0d473cb44a05909e1eb9a3": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ce07c7f7a7ce4bb6b9d8f6c081b968b8",
            "placeholder": "​",
            "style": "IPY_MODEL_e992ef59e87c45b38ba50371ae0c08f2",
            "value": " 26.6k/26.6k [00:00&lt;00:00, 1.86MB/s]"
          }
        },
        "8bfbd58f63e4424eb9477e63956dd7fb": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "8f8fde1145044f7ca923a930f65c0de2": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "9065334c07b745229166b6ae560bc359": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_4e81b68ec35a46f3a5c1be754947b423",
            "placeholder": "​",
            "style": "IPY_MODEL_3663a3e192344ede9892d2d7fdab29dd",
            "value": "data%2Fcontext%2Fmerchant_data.json: 100%"
          }
        },
        "9c0bd39d12ca41149f5de25ef27852ee": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "9d6f7dff7480416182f85bc4ad0329a2": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "a177c31b29fa4ffd89bcec8d9512c4f0": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "a345fd91f9ea4a6398d7555bee17af0f": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ae358da5ca3b4cd090d1ef5650630e31",
            "placeholder": "​",
            "style": "IPY_MODEL_b8445c235a8748b8aedb5738a6012ceb",
            "value": "payments.csv: 100%"
          }
        },
        "a5970261108646f8a142c3560037e0b4": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_b5f779459102474f948c5c57fed637de",
            "placeholder": "​",
            "style": "IPY_MODEL_13e22d258f03476e94cc970fbb12bb84",
            "value": " 23.6M/23.6M [00:02&lt;00:00, 10.4MB/s]"
          }
        },
        "a59a92b03d6d48d3a1ad7a38dac5cb60": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_1adeba1dcf6941a284ed7e988dc24a29",
            "max": 6857,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_f5c946c261b2487fad3e21d361e454b5",
            "value": 6857
          }
        },
        "a80db8e21e27478dbb51e3043a74837f": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "ButtonStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ButtonStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "button_color": null,
            "font_weight": ""
          }
        },
        "a9928f9202334e28b5ad22524b553e30": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_12b34f7a65504bceba07d73d704276df",
            "placeholder": "​",
            "style": "IPY_MODEL_efeb99cc1f884bb38de01fffee197087",
            "value": "data%2Fcontext%2Fpayments-readme.md: 100%"
          }
        },
        "ac9c08264365496eb5073be6f78fc5d5": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ae358da5ca3b4cd090d1ef5650630e31": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b01fee0dbbc54d5f8008605ffd35ba65": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HBoxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HBoxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HBoxView",
            "box_style": "",
            "children": [
              "IPY_MODEL_a9928f9202334e28b5ad22524b553e30",
              "IPY_MODEL_7a74c53ad53c47da99268d797ae07f11",
              "IPY_MODEL_f24ef5fd150942ce82097bfb9dd5ef5c"
            ],
            "layout": "IPY_MODEL_9d6f7dff7480416182f85bc4ad0329a2"
          }
        },
        "b3be6e3ffda24410baadca98434f0d13": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "ButtonModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ButtonModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ButtonView",
            "button_style": "",
            "description": "Login",
            "disabled": false,
            "icon": "",
            "layout": "IPY_MODEL_8f8fde1145044f7ca923a930f65c0de2",
            "style": "IPY_MODEL_a80db8e21e27478dbb51e3043a74837f",
            "tooltip": ""
          }
        },
        "b5f779459102474f948c5c57fed637de": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "b6125508b1a14404bbb64affa8839e62": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_c6ec4bf6cc38414b855d6dc30d7d297d",
            "placeholder": "​",
            "style": "IPY_MODEL_129985da244b40bea66108e6e8d73bee",
            "value": " 22.1k/22.1k [00:00&lt;00:00, 1.34MB/s]"
          }
        },
        "b8445c235a8748b8aedb5738a6012ceb": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "ba1c7ae364864507bdc1db090ef3bc11": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "bfd58f9b45164337a31f049566bd8ff8": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "c20a46abb413449bab848efc06ee5055": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "c67fcb46f5f74f9db1205ff52e4cdade": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "c6ec4bf6cc38414b855d6dc30d7d297d": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ca4fc1a9225e46619b0b4c914343751b": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "FloatProgressModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "FloatProgressModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "ProgressView",
            "bar_style": "success",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_0d60a69a4c6649db8d714d20deb40259",
            "max": 531118,
            "min": 0,
            "orientation": "horizontal",
            "style": "IPY_MODEL_d27d704b1b6e453f9bd305079d4b1729",
            "value": 531118
          }
        },
        "ce07c7f7a7ce4bb6b9d8f6c081b968b8": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "d27d704b1b6e453f9bd305079d4b1729": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "d513f533008f4b8d932d7d9409961233": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "e3e416e10f9348c6a3f2f7394be4b540": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "e992ef59e87c45b38ba50371ae0c08f2": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "eae5cb4587ac4a448672e11599f61967": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_3efe8ed773ff47d594dbef7c7797d583",
            "placeholder": "​",
            "style": "IPY_MODEL_a177c31b29fa4ffd89bcec8d9512c4f0",
            "value": "data%2Fcontext%2Fmanual.md: 100%"
          }
        },
        "eb1ae68f0687414ea70421433de1d32b": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "ed68200cb8524d998e05ab5e43f6478c": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "CheckboxModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "CheckboxModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "CheckboxView",
            "description": "Add token as git credential?",
            "description_tooltip": null,
            "disabled": false,
            "indent": true,
            "layout": "IPY_MODEL_69d2744659df4d77a20290fde2e9b42d",
            "style": "IPY_MODEL_26578dfd05524f00a709278717d9b8d7",
            "value": true
          }
        },
        "ef036b59c09d45ecb015df208ab3d0d8": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_ba1c7ae364864507bdc1db090ef3bc11",
            "placeholder": "​",
            "style": "IPY_MODEL_100c0b5db43c41a58fd39f38e2063c3a",
            "value": "data%2Fcontext%2Facquirer_countries.csv: 100%"
          }
        },
        "ef567a9f82ce48b8b87363420a68b569": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "efeb99cc1f884bb38de01fffee197087": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "f24ef5fd150942ce82097bfb9dd5ef5c": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "HTMLModel",
          "state": {
            "_dom_classes": [],
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "HTMLModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/controls",
            "_view_module_version": "1.5.0",
            "_view_name": "HTMLView",
            "description": "",
            "description_tooltip": null,
            "layout": "IPY_MODEL_318d1ed1f61d448aa8bf75bbc9b06bf8",
            "placeholder": "​",
            "style": "IPY_MODEL_3a49ddea14cf4deca3ac2b5899155176",
            "value": " 1.72k/1.72k [00:00&lt;00:00, 98.7kB/s]"
          }
        },
        "f32c3e0bb8234ded84228a62db0ef944": {
          "model_module": "@jupyter-widgets/base",
          "model_module_version": "1.2.0",
          "model_name": "LayoutModel",
          "state": {
            "_model_module": "@jupyter-widgets/base",
            "_model_module_version": "1.2.0",
            "_model_name": "LayoutModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "LayoutView",
            "align_content": null,
            "align_items": null,
            "align_self": null,
            "border": null,
            "bottom": null,
            "display": null,
            "flex": null,
            "flex_flow": null,
            "grid_area": null,
            "grid_auto_columns": null,
            "grid_auto_flow": null,
            "grid_auto_rows": null,
            "grid_column": null,
            "grid_gap": null,
            "grid_row": null,
            "grid_template_areas": null,
            "grid_template_columns": null,
            "grid_template_rows": null,
            "height": null,
            "justify_content": null,
            "justify_items": null,
            "left": null,
            "margin": null,
            "max_height": null,
            "max_width": null,
            "min_height": null,
            "min_width": null,
            "object_fit": null,
            "object_position": null,
            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "f5c946c261b2487fad3e21d361e454b5": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "ProgressStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "ProgressStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "bar_color": null,
            "description_width": ""
          }
        },
        "f62394b0399347e5b3b273d93e8a8b7a": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        },
        "fd50bafbb2ed44c0adf28ec98894b158": {
          "model_module": "@jupyter-widgets/controls",
          "model_module_version": "1.5.0",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
            "description_width": ""
          }
        }
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}