{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w8T2F6h2J-Tz"
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      "source": [
        "# **SynDaCaTE**: A Synthetic Dataset For Evaluating Part-Whole Hierarchical Inference\n",
        "\n",
        "Hello 👋 This is the public notebook accompanying our paper \"SynDaCaTE: A Synthetic Dataset For Evaluating Part-Whole Hierarchical Inference\", to appear at the [MOSS (Methods and Opportunities at Small Scale)](https://sites.google.com/view/moss2025/home?authuser=0) workshop at [ICML 2025](https://icml.cc/virtual/2025/events/workshop).\n",
        "\n",
        "Our code is written as an installable Python package with a CLI. In this notebook we clone and install our package from our [public GitHub repository](https://github.com/jakelevi1996/syndacate-public), run commands using our CLI, and display the results below.\n",
        "\n",
        "All models trained for the results in our paper are reasonably small and train reasonably quickly (< 40 minutes, or 70 minutes in Colab) on reasonably good hardware. However, sweeping over 3 independent variables (model type, random seed, training sample size/depth) means training a large number of models, beyond what is reasonable in a small notebook.\n",
        "\n",
        "Therefore, rather than replicating ALL results from the paper in this notebook, we instead demonstrate results which support the main claims in the paper. Commands to replicate all results from the paper can be found in the README of our [public GitHub repository](https://github.com/jakelevi1996/syndacate-public), in sections [Full classification data-efficiency sweeps](https://github.com/jakelevi1996/syndacate-public?tab=readme-ov-file#full-classification-data-efficiency-sweeps) and [Full PartsToChars depth sweeps](https://github.com/jakelevi1996/syndacate-public?tab=readme-ov-file#full-partstochars-depth-sweeps).\n",
        "\n",
        "In particular, we only demonstrate results for a **single random seed** in this notebook, and for data efficiency sweeps we demonstrate results using **training sample size = 300**, since this sample size appears to separate out the different models most clearly. For depth sweeps we demonstrate results for **depth = 5** (the deepest set-function models considered in the paper, with the best performance).\n",
        "\n",
        "A summary of the results in this notebook is shown below (training durations do not include time taken for dataset generation, which is approximately 5-10 minutes per dataset when running in Colab):\n",
        "\n",
        "Model | Dataset (subset size) | Training duration | Metric type | Train metric | Test metric\n",
        "----- | ------- | ------------ | ----------- | ------------ | -----------\n",
        "CNN | ImToClass (300) | 4m 11.44s | Accuracy | 1.00000 | 0.58820\n",
        "CapsNet | ImToClass (300) | 8m 14.59s | Accuracy | 0.99333 | 0.21010\n",
        "CNN | ImToParts | 1h 10m 59s | Chamfer MSE | 0.02367 | 0.02669\n",
        "CNN | PreTrainedPartsToClass (300) | 37.6287s | Accuracy | 1.00000 | 0.75200\n",
        "CapsNet | PreTrainedPartsToClass (300) | 9m  1.74s | Accuracy | 1.00000 | 0.74740\n",
        "SetTransformer | PartsToChars | 18m 10.02s | MSE | 0.01953 | 0.02211\n",
        "DeepSetToSet | PartsToChars | 6m 54.80s | MSE | 1.21829 | 2.06104\n",
        "SetTransformer | PartsToClass (300) | 1m  3.12s | Accuracy | 1.00000 | 0.92800\n",
        "MLP (flat) | PartsToClass (300) | 21.5744s | Accuracy | 1.00000 | 0.37500\n",
        "MLP (flat, 10xS) | PartsToClass (300) | 3m 25.83s | Accuracy | 1.00000 | 0.36510\n",
        "\n",
        "The total running time for training models in this notebook is 2 hours and 3 minutes (using Colab free tier and a T4 GPU).\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RzMfb1bwyUwB",
        "outputId": "97e0fe77-a05f-416a-d18b-d6c842dd1ea8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Cloning into 'syndacate-public'...\n",
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            "Obtaining file:///content/syndacate-public\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Checking if build backend supports build_editable ... \u001b[?25l\u001b[?25hdone\n",
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            "  Preparing editable metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Building wheels for collected packages: syndacate_public\n",
            "  Building editable for syndacate_public (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for syndacate_public: filename=syndacate_public-0.0.1-0.editable-py3-none-any.whl size=2443 sha256=64d297b608524ae69a948ab6db6b32c6b30ce30d8ae3c13a1ed6145a5fea09a7\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-ouq9a979/wheels/76/1d/5b/923e0cdfb9e4fb488b0118438521e725009c636d3eed3bfbab\n",
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            "/content/syndacate-public\n"
          ]
        }
      ],
      "source": [
        "# Installation\n",
        "!python -m pip install -U pip\n",
        "!python -m pip install -U jutility==0.0.28\n",
        "!python -m pip install -U juml-toolkit==0.0.5\n",
        "!git clone https://github.com/jakelevi1996/syndacate-public.git\n",
        "!python -m pip install -e ./syndacate-public\n",
        "%cd syndacate-public"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!syndacate plotsyndacate"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YrIzjWo7tisS",
        "outputId": "ed26d3a4-d371-4f4c-abf5-0e1210d78a29"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Loading from \"./data/syndacate_aFfTh100n400o1p4rTs1u10w100.npz\"\n",
            "Could not find \"./data/syndacate_aFfTh100n400o1p4rTs1u10w100.npz\", generating now...\n",
            "Creating image 400/400 | 100.0 % | t+     2.6690s | t-     0.0000s | ETA 2025-06-20 23:40:18 | *************************\n",
            "Saving in \"./data/syndacate_aFfTh100n400o1p4rTs1u10w100.npz\"\n",
            "Loading from \"./data/syndacate_aFfTh100n400o3p12rTs3u10w100.npz\"\n",
            "Could not find \"./data/syndacate_aFfTh100n400o3p12rTs3u10w100.npz\", generating now...\n",
            "Creating image 400/400 | 100.0 % | t+     2.8088s | t-     0.0000s | ETA 2025-06-20 23:40:21 | *************************\n",
            "Saving in \"./data/syndacate_aFfTh100n400o3p12rTs3u10w100.npz\"\n",
            "Loading from \"./data/words_h100n400o3s0u10w100.npz\"\n",
            "Could not find \"./data/words_h100n400o3s0u10w100.npz\", generating now...\n",
            "Creating image 400/400 | 100.0 % | t+     8.2905s | t-     0.0000s | ETA 2025-06-20 23:40:29 | *************************\n",
            "Saving in \"./data/words_h100n400o3s0u10w100.npz\"\n",
            "Saving in \"results/plot_syndacate.png\"\n",
            "Time taken for `plotsyndacate` = 14.4764 seconds\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from jutility import plotting\n",
        "plotting.show_ipython(\"results/plot_syndacate.png\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "rRRlGo8wty7J",
        "outputId": "cfade382-e9c5-4332-aa4f-28fd9379aabf"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "xdkzbNj3ywa6",
        "outputId": "b514c1ac-15e9-4e7a-a4b1-5c45863c5c8c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cli: ImToClass()\n",
            "Loading from \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\"\n",
            "Could not find \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\", generating now...\n",
            "Creating image 70000/70000 | 100.0 % | t+   7m 53.62s | t-     0.0000s | ETA 2025-05-27 22:57:08 | *************************\n",
            "Saving in \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\"\n",
            "cli: CoordConv()\n",
            "cli: Average2d()\n",
            "cli: RzCnn(blocks_per_stage=2, embedder=CoordConv(num_params=0), expand_ratio=2.0, input_shape=[70000, 1, 100, 100], kernel_size=5, model_dim=64, num_stages=3, output_shape=[10], pooler=Average2d(num_params=0), stride=2)\n",
            "cli: CrossEntropy()\n",
            "cli: Adam(lr=0.001, params=<generator object Module.parameters at 0x78d97564ce40>)\n",
            "Time        | Step       | Epoch      | Batch      | Batch loss | Train metric | Test metric \n",
            "----------- | ---------- | ---------- | ---------- | ---------- | ------------ | ------------\n",
            "0.0177s     |          0 |          0 |            |            |      0.13333 |      0.10260\n",
            "3.1822s     |          0 |          0 |          0 |    2.30147 |              |             \n",
            "4.0214s     |         18 |          6 |          0 |    2.24018 |              |             \n",
            "5.0464s     |         40 |         13 |          1 |    2.21112 |              |             \n",
            "6.0260s     |         61 |         20 |          1 |    2.24336 |              |             \n",
            "7.0050s     |         82 |         27 |          1 |    2.18394 |              |             \n",
            "8.0348s     |        104 |         34 |          2 |    2.18807 |              |             \n",
            "9.0212s     |        125 |         41 |          2 |    1.93836 |              |             \n",
            "10.0055s    |        146 |         48 |          2 |    1.53607 |              |             \n",
            "11.0420s    |        168 |         56 |          0 |    1.37462 |              |             \n",
            "12.0265s    |        189 |         63 |          0 |    1.13457 |              |             \n",
            "13.0213s    |        210 |         70 |          0 |    1.10418 |              |             \n",
            "14.0160s    |        231 |         77 |          0 |    1.01267 |              |             \n",
            "15.0122s    |        252 |         84 |          0 |    0.73509 |              |             \n",
            "16.0002s    |        273 |         91 |          0 |    0.81343 |              |             \n",
            "17.0381s    |        295 |         98 |          1 |    0.50514 |              |             \n",
            "18.0314s    |        316 |        105 |          1 |    0.42495 |              |             \n",
            "19.0233s    |        337 |        112 |          1 |    0.31004 |              |             \n",
            "20.0088s    |        358 |        119 |          1 |    0.38499 |              |             \n",
            "21.0020s    |        379 |        126 |          1 |    0.27566 |              |             \n",
            "22.0402s    |        401 |        133 |          2 |    0.15252 |              |             \n",
            "23.0328s    |        422 |        140 |          2 |    0.17323 |              |             \n",
            "24.0247s    |        443 |        147 |          2 |    0.09192 |              |             \n",
            "25.0230s    |        464 |        154 |          2 |    0.04115 |              |             \n",
            "26.0213s    |        485 |        161 |          2 |    0.04028 |              |             \n",
            "27.0250s    |        506 |        168 |          2 |    0.21840 |              |             \n",
            "28.0187s    |        527 |        175 |          2 |    0.22219 |              |             \n",
            "29.0182s    |        548 |        182 |          2 |    0.06335 |              |             \n",
            "30.0132s    |        569 |        189 |          2 |    0.01478 |              |             \n",
            "31.0134s    |        590 |        196 |          2 |    0.01278 |              |             \n",
            "32.0114s    |        611 |        203 |          2 |    0.00799 |              |             \n",
            "33.0085s    |        632 |        210 |          2 |    0.00608 |              |             \n",
            "34.0064s    |        653 |        217 |          2 |    0.00640 |              |             \n",
            "35.0112s    |        674 |        224 |          2 |    0.00582 |              |             \n",
            "36.0201s    |        695 |        231 |          2 |    0.00382 |              |             \n",
            "37.0320s    |        716 |        238 |          2 |    0.00397 |              |             \n",
            "38.0426s    |        737 |        245 |          2 |    0.00174 |              |             \n",
            "39.0044s    |        757 |        252 |          1 |    0.00155 |              |             \n",
            "40.0069s    |        778 |        259 |          1 |    0.00203 |              |             \n",
            "41.0102s    |        799 |        266 |          1 |    0.00162 |              |             \n",
            "42.0127s    |        820 |        273 |          1 |    0.00170 |              |             \n",
            "43.0192s    |        841 |        280 |          1 |    0.00142 |              |             \n",
            "44.0265s    |        862 |        287 |          1 |    0.00132 |              |             \n",
            "45.0310s    |        883 |        294 |          1 |    0.00132 |              |             \n",
            "46.0385s    |        904 |        301 |          1 |    0.00141 |              |             \n",
            "47.0470s    |        925 |        308 |          1 |    0.00095 |              |             \n",
            "48.0101s    |        945 |        315 |          0 |    0.00111 |              |             \n",
            "49.0225s    |        966 |        322 |          0 |    0.00058 |              |             \n",
            "50.0421s    |        987 |        329 |          0 |    0.00089 |              |             \n",
            "51.0147s    |       1007 |        335 |          2 |    0.00126 |              |             \n",
            "52.0299s    |       1028 |        342 |          2 |    0.00071 |              |             \n",
            "53.0416s    |       1049 |        349 |          2 |    0.00074 |              |             \n",
            "54.0134s    |       1069 |        356 |          1 |    0.00058 |              |             \n",
            "55.0260s    |       1090 |        363 |          1 |    0.00033 |              |             \n",
            "56.0391s    |       1111 |        370 |          1 |    0.00050 |              |             \n",
            "57.0053s    |       1131 |        377 |          0 |    0.00044 |              |             \n",
            "58.0185s    |       1152 |        384 |          0 |    0.00036 |              |             \n",
            "59.0368s    |       1173 |        391 |          0 |    0.00037 |              |             \n",
            "1m  0.00s   |       1193 |        397 |          2 |    0.00048 |              |             \n",
            "1m  1.02s   |       1214 |        404 |          2 |    0.00039 |              |             \n",
            "1m  2.04s   |       1235 |        411 |          2 |    0.00035 |              |             \n",
            "1m  3.02s   |       1255 |        418 |          1 |    0.00033 |              |             \n",
            "1m  4.05s   |       1276 |        425 |          1 |    0.00029 |              |             \n",
            "1m  5.02s   |       1296 |        432 |          0 |    0.00034 |              |             \n",
            "1m  6.03s   |       1317 |        439 |          0 |    0.00039 |              |             \n",
            "1m  7.01s   |       1337 |        445 |          2 |    0.00041 |              |             \n",
            "1m  8.03s   |       1358 |        452 |          2 |    0.00026 |              |             \n",
            "1m  9.05s   |       1379 |        459 |          2 |    0.00029 |              |             \n",
            "1m 10.03s   |       1399 |        466 |          1 |    0.00022 |              |             \n",
            "1m 11.00s   |       1419 |        473 |          0 |    0.00026 |              |             \n",
            "1m 12.03s   |       1440 |        480 |          0 |    0.00033 |              |             \n",
            "1m 13.01s   |       1460 |        486 |          2 |    0.00026 |              |             \n",
            "1m 14.04s   |       1481 |        493 |          2 |    0.00026 |              |             \n",
            "1m 15.03s   |       1501 |        500 |          1 |    0.00019 |              |             \n",
            "1m 16.01s   |       1521 |        507 |          0 |    0.00027 |              |             \n",
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            "1m 18.02s   |       1562 |        520 |          2 |    0.00024 |              |             \n",
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            "1m 20.04s   |       1603 |        534 |          1 |    0.00026 |              |             \n",
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            "1m 24.02s   |       1684 |        561 |          1 |    0.00020 |              |             \n",
            "1m 25.01s   |       1704 |        568 |          0 |    0.00020 |              |             \n",
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            "1m 27.04s   |       1745 |        581 |          2 |    0.00015 |              |             \n",
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            "1m 35.04s   |       1907 |        635 |          2 |    0.00014 |              |             \n",
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            "1m 39.02s   |       1987 |        662 |          1 |    0.00005 |              |             \n",
            "1m 40.03s   |       2007 |        669 |          0 |    0.00012 |              |             \n",
            "1m 41.02s   |       2027 |        675 |          2 |    0.00005 |              |             \n",
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            "1m 43.00s   |       2067 |        689 |          0 |    0.00011 |              |             \n",
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            "1m 55.00s   |       2307 |        769 |          0 |    0.00009 |              |             \n",
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            "2m  0.01s   |       2407 |        802 |          1 |    0.00010 |              |             \n",
            "2m  1.02s   |       2427 |        809 |          0 |    0.00006 |              |             \n",
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            "2m 14.04s   |       2685 |        895 |          0 |    0.00005 |              |             \n",
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            "2m 26.02s   |       2921 |        973 |          2 |    0.00007 |              |             \n",
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            "2m 48.02s   |       3353 |       1117 |          2 |    0.00005 |              |             \n",
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            "3m  0.02s   |       3590 |       1196 |          2 |    0.00003 |              |             \n",
            "3m  1.03s   |       3610 |       1203 |          1 |    0.00004 |              |             \n",
            "3m  2.05s   |       3630 |       1210 |          0 |    0.00003 |              |             \n",
            "3m  3.01s   |       3649 |       1216 |          1 |    0.00004 |              |             \n",
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            "3m 10.05s   |       3788 |       1262 |          2 |    0.00004 |              |             \n",
            "3m 11.01s   |       3807 |       1269 |          0 |    0.00002 |              |             \n",
            "3m 12.02s   |       3827 |       1275 |          2 |    0.00005 |              |             \n",
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            "3m 14.04s   |       3867 |       1289 |          0 |    0.00003 |              |             \n",
            "3m 15.00s   |       3886 |       1295 |          1 |    0.00005 |              |             \n",
            "3m 16.02s   |       3906 |       1302 |          0 |    0.00004 |              |             \n",
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            "3m 18.01s   |       3945 |       1315 |          0 |    0.00002 |              |             \n",
            "3m 19.02s   |       3965 |       1321 |          2 |    0.00004 |              |             \n",
            "3m 20.03s   |       3985 |       1328 |          1 |    0.00003 |              |             \n",
            "3m 21.04s   |       4005 |       1335 |          0 |    0.00003 |              |             \n",
            "3m 22.01s   |       4024 |       1341 |          1 |    0.00004 |              |             \n",
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            "3m 24.03s   |       4064 |       1354 |          2 |    0.00002 |              |             \n",
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            "3m 26.01s   |       4103 |       1367 |          2 |    0.00004 |              |             \n",
            "3m 27.02s   |       4123 |       1374 |          1 |    0.00005 |              |             \n",
            "3m 28.04s   |       4143 |       1381 |          0 |    0.00004 |              |             \n",
            "3m 29.01s   |       4162 |       1387 |          1 |    0.00003 |              |             \n",
            "3m 30.03s   |       4182 |       1394 |          0 |    0.00003 |              |             \n",
            "3m 31.04s   |       4202 |       1400 |          2 |    0.00003 |              |             \n",
            "3m 32.05s   |       4222 |       1407 |          1 |    0.00003 |              |             \n",
            "3m 33.01s   |       4241 |       1413 |          2 |    0.00004 |              |             \n",
            "3m 34.02s   |       4261 |       1420 |          1 |    0.00003 |              |             \n",
            "3m 35.03s   |       4281 |       1427 |          0 |    0.00004 |              |             \n",
            "3m 36.05s   |       4301 |       1433 |          2 |    0.00003 |              |             \n",
            "3m 37.01s   |       4320 |       1440 |          0 |    0.00002 |              |             \n",
            "3m 38.02s   |       4340 |       1446 |          2 |    0.00003 |              |             \n",
            "3m 39.03s   |       4360 |       1453 |          1 |    0.00003 |              |             \n",
            "3m 40.05s   |       4380 |       1460 |          0 |    0.00003 |              |             \n",
            "3m 41.02s   |       4399 |       1466 |          1 |    0.00004 |              |             \n",
            "3m 42.04s   |       4419 |       1473 |          0 |    0.00003 |              |             \n",
            "3m 43.01s   |       4438 |       1479 |          1 |    0.00003 |              |             \n",
            "3m 44.02s   |       4458 |       1486 |          0 |    0.00003 |              |             \n",
            "3m 45.03s   |       4478 |       1492 |          2 |    0.00003 |              |             \n",
            "3m 46.04s   |       4498 |       1499 |          1 |    0.00002 |              |             \n",
            "3m 47.05s   |       4518 |       1506 |          0 |    0.00004 |              |             \n",
            "3m 48.01s   |       4537 |       1512 |          1 |    0.00003 |              |             \n",
            "3m 49.02s   |       4557 |       1519 |          0 |    0.00003 |              |             \n",
            "3m 50.03s   |       4577 |       1525 |          2 |    0.00003 |              |             \n",
            "3m 51.04s   |       4597 |       1532 |          1 |    0.00003 |              |             \n",
            "3m 52.01s   |       4616 |       1538 |          2 |    0.00003 |              |             \n",
            "3m 53.03s   |       4636 |       1545 |          1 |    0.00005 |              |             \n",
            "3m 54.05s   |       4656 |       1552 |          0 |    0.00003 |              |             \n",
            "3m 55.02s   |       4675 |       1558 |          1 |    0.00003 |              |             \n",
            "3m 56.03s   |       4695 |       1565 |          0 |    0.00002 |              |             \n",
            "3m 57.04s   |       4715 |       1571 |          2 |    0.00002 |              |             \n",
            "3m 58.00s   |       4734 |       1578 |          0 |    0.00003 |              |             \n",
            "3m 59.02s   |       4754 |       1584 |          2 |    0.00004 |              |             \n",
            "4m  0.03s   |       4774 |       1591 |          1 |    0.00002 |              |             \n",
            "4m  1.05s   |       4794 |       1598 |          0 |    0.00002 |              |             \n",
            "4m  2.01s   |       4813 |       1604 |          1 |    0.00003 |              |             \n",
            "4m  3.02s   |       4833 |       1611 |          0 |    0.00003 |              |             \n",
            "4m  4.04s   |       4853 |       1617 |          2 |    0.00004 |              |             \n",
            "4m  5.00s   |       4872 |       1624 |          0 |    0.00002 |              |             \n",
            "4m  6.02s   |       4892 |       1630 |          2 |    0.00004 |              |             \n",
            "4m  7.04s   |       4912 |       1637 |          1 |    0.00003 |              |             \n",
            "4m  8.05s   |       4932 |       1644 |          0 |    0.00002 |              |             \n",
            "4m  9.01s   |       4951 |       1650 |          1 |    0.00003 |              |             \n",
            "4m 10.02s   |       4971 |       1657 |          0 |    0.00004 |              |             \n",
            "4m 11.04s   |       4991 |       1663 |          2 |    0.00002 |              |             \n",
            "4m 11.44s   |       5000 |       1666 |            |            |      1.00000 |      0.58820\n",
            "Saving in \"results/train/dICL_lC_mRZCb2eCk5m64n3pAs2x2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/cmd.txt\"\n",
            "Saving in \"results/train/dICL_lC_mRZCb2eCk5m64n3pAs2x2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/args.json\"\n",
            "Saving in \"results/train/dICL_lC_mRZCb2eCk5m64n3pAs2x2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.json\"\n",
            "Saving in \"results/train/dICL_lC_mRZCb2eCk5m64n3pAs2x2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.png\"\n",
            "--model_name dICL_lC_mRZCb2eCk5m64n3pAs2x2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0\n",
            "Final metrics = 1.00000 (train), 0.58820 (test)\n",
            "Time taken for `train` = 12 minutes 20.41 seconds\n"
          ]
        }
      ],
      "source": [
        "# CNN, ImToClass\n",
        "!syndacate train \\\n",
        "  --dataset ImToClass \\\n",
        "  --model RzCnn \\\n",
        "  --model.RzCnn.embedder CoordConv \\\n",
        "  --model.RzCnn.pooler Average2d \\\n",
        "  --trainer BpSpDe \\\n",
        "  --trainer.BpSpDe.n_train 300 \\\n",
        "  --trainer.BpSpDe.steps 5000 \\\n",
        "  --devices 0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7l3uvDbA98hF",
        "outputId": "e2b2df8a-58d1-4831-e295-81604931ae0b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cli: ImToClass()\n",
            "Loading from \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\"\n",
            "Could not find \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\", generating now...\n",
            "Creating image 70000/70000 | 100.0 % | t+   6m 47.67s | t-     0.0000s | ETA 2025-05-28 07:40:16 | *************************\n",
            "Saving in \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\"\n",
            "cli: CapsNet(input_shape=[70000, 1, 100, 100], output_shape=[10], routing_iterations=3)\n",
            "cli: CrossEntropy()\n",
            "cli: Adam(lr=0.001, params=<generator object Module.parameters at 0x7b92adc60e40>)\n",
            "Time        | Step       | Epoch      | Batch      | Batch loss | Train metric | Test metric \n",
            "----------- | ---------- | ---------- | ---------- | ---------- | ------------ | ------------\n",
            "0.0424s     |          0 |          0 |            |            |      0.13000 |      0.09930\n",
            "4.5890s     |          0 |          0 |          0 |    2.30258 |              |             \n",
            "5.0284s     |          5 |          1 |          2 |    2.32018 |              |             \n",
            "6.0046s     |         16 |          5 |          1 |    2.24154 |              |             \n",
            "7.0725s     |         28 |          9 |          1 |    2.18635 |              |             \n",
            "8.0510s     |         39 |         13 |          0 |    2.08459 |              |             \n",
            "9.0297s     |         50 |         16 |          2 |    1.97584 |              |             \n",
            "10.0089s    |         61 |         20 |          1 |    1.89188 |              |             \n",
            "11.0840s    |         73 |         24 |          1 |    1.83923 |              |             \n",
            "12.0647s    |         84 |         28 |          0 |    1.77480 |              |             \n",
            "13.0444s    |         95 |         31 |          2 |    1.74432 |              |             \n",
            "14.0260s    |        106 |         35 |          1 |    1.72317 |              |             \n",
            "15.0094s    |        117 |         39 |          0 |    1.67945 |              |             \n",
            "16.0880s    |        129 |         43 |          0 |    1.62407 |              |             \n",
            "17.0746s    |        140 |         46 |          2 |    1.60540 |              |             \n",
            "18.0613s    |        151 |         50 |          1 |    1.58762 |              |             \n",
            "19.0477s    |        162 |         54 |          0 |    1.57443 |              |             \n",
            "20.0339s    |        173 |         57 |          2 |    1.55937 |              |             \n",
            "21.0201s    |        184 |         61 |          1 |    1.54231 |              |             \n",
            "22.0898s    |        196 |         65 |          1 |    1.53128 |              |             \n",
            "23.0811s    |        207 |         69 |          0 |    1.52375 |              |             \n",
            "24.0735s    |        218 |         72 |          2 |    1.52818 |              |             \n",
            "25.0619s    |        229 |         76 |          1 |    1.52506 |              |             \n",
            "26.0513s    |        240 |         80 |          0 |    1.51108 |              |             \n",
            "27.0432s    |        251 |         83 |          2 |    1.50627 |              |             \n",
            "28.0324s    |        262 |         87 |          1 |    1.51073 |              |             \n",
            "29.0295s    |        273 |         91 |          0 |    1.52760 |              |             \n",
            "30.0276s    |        284 |         94 |          2 |    1.51746 |              |             \n",
            "31.0236s    |        295 |         98 |          1 |    1.51300 |              |             \n",
            "32.0181s    |        306 |        102 |          0 |    1.49701 |              |             \n",
            "33.0129s    |        317 |        105 |          2 |    1.49865 |              |             \n",
            "34.0076s    |        328 |        109 |          1 |    1.49673 |              |             \n",
            "35.0098s    |        339 |        113 |          0 |    1.49636 |              |             \n",
            "36.0074s    |        350 |        116 |          2 |    1.48619 |              |             \n",
            "37.0093s    |        361 |        120 |          1 |    1.48243 |              |             \n",
            "38.0186s    |        372 |        124 |          0 |    1.48468 |              |             \n",
            "39.0176s    |        383 |        127 |          2 |    1.48190 |              |             \n",
            "40.0186s    |        394 |        131 |          1 |    1.48240 |              |             \n",
            "41.0235s    |        405 |        135 |          0 |    1.48264 |              |             \n",
            "42.0290s    |        416 |        138 |          2 |    1.47854 |              |             \n",
            "43.0317s    |        427 |        142 |          1 |    1.47739 |              |             \n",
            "44.0342s    |        438 |        146 |          0 |    1.48212 |              |             \n",
            "45.0368s    |        449 |        149 |          2 |    1.47903 |              |             \n",
            "46.0421s    |        460 |        153 |          1 |    1.47453 |              |             \n",
            "47.0435s    |        471 |        157 |          0 |    1.47725 |              |             \n",
            "48.0484s    |        482 |        160 |          2 |    1.47367 |              |             \n",
            "49.0501s    |        493 |        164 |          1 |    1.47880 |              |             \n",
            "50.0601s    |        504 |        168 |          0 |    1.47578 |              |             \n",
            "51.0685s    |        515 |        171 |          2 |    1.47708 |              |             \n",
            "52.0791s    |        526 |        175 |          1 |    1.47505 |              |             \n",
            "53.0902s    |        537 |        179 |          0 |    1.47822 |              |             \n",
            "54.0117s    |        547 |        182 |          1 |    1.47489 |              |             \n",
            "55.0247s    |        558 |        186 |          0 |    1.47317 |              |             \n",
            "56.0321s    |        569 |        189 |          2 |    2.00286 |              |             \n",
            "57.0433s    |        580 |        193 |          1 |    1.91308 |              |             \n",
            "58.0519s    |        591 |        197 |          0 |    1.79382 |              |             \n",
            "59.0690s    |        602 |        200 |          2 |    1.70526 |              |             \n",
            "1m  0.08s   |        613 |        204 |          1 |    1.65948 |              |             \n",
            "1m  1.01s   |        623 |        207 |          2 |    1.57523 |              |             \n",
            "1m  2.02s   |        634 |        211 |          1 |    1.54128 |              |             \n",
            "1m  3.03s   |        645 |        215 |          0 |    1.51167 |              |             \n",
            "1m  4.04s   |        656 |        218 |          2 |    1.50611 |              |             \n",
            "1m  5.06s   |        667 |        222 |          1 |    1.49110 |              |             \n",
            "1m  6.08s   |        678 |        226 |          0 |    1.48295 |              |             \n",
            "1m  7.01s   |        688 |        229 |          1 |    1.48364 |              |             \n",
            "1m  8.03s   |        699 |        233 |          0 |    1.48443 |              |             \n",
            "1m  9.05s   |        710 |        236 |          2 |    1.48250 |              |             \n",
            "1m 10.07s   |        721 |        240 |          1 |    1.47543 |              |             \n",
            "1m 11.00s   |        731 |        243 |          2 |    1.47549 |              |             \n",
            "1m 12.03s   |        742 |        247 |          1 |    1.47630 |              |             \n",
            "1m 13.05s   |        753 |        251 |          0 |    1.47660 |              |             \n",
            "1m 14.07s   |        764 |        254 |          2 |    1.47453 |              |             \n",
            "1m 15.09s   |        775 |        258 |          1 |    1.46967 |              |             \n",
            "1m 16.02s   |        785 |        261 |          2 |    1.47195 |              |             \n",
            "1m 17.05s   |        796 |        265 |          1 |    1.47088 |              |             \n",
            "1m 18.08s   |        807 |        269 |          0 |    1.47235 |              |             \n",
            "1m 19.02s   |        817 |        272 |          1 |    1.47097 |              |             \n",
            "1m 20.05s   |        828 |        276 |          0 |    1.47241 |              |             \n",
            "1m 21.08s   |        839 |        279 |          2 |    1.47086 |              |             \n",
            "1m 22.02s   |        849 |        283 |          0 |    1.47174 |              |             \n",
            "1m 23.05s   |        860 |        286 |          2 |    1.47017 |              |             \n",
            "1m 24.08s   |        871 |        290 |          1 |    1.46886 |              |             \n",
            "1m 25.02s   |        881 |        293 |          2 |    1.47141 |              |             \n",
            "1m 26.04s   |        892 |        297 |          1 |    1.46967 |              |             \n",
            "1m 27.08s   |        903 |        301 |          0 |    1.46934 |              |             \n",
            "1m 28.03s   |        913 |        304 |          1 |    1.46933 |              |             \n",
            "1m 29.06s   |        924 |        308 |          0 |    1.46908 |              |             \n",
            "1m 30.01s   |        934 |        311 |          1 |    1.47159 |              |             \n",
            "1m 31.06s   |        945 |        315 |          0 |    1.46893 |              |             \n",
            "1m 32.09s   |        956 |        318 |          2 |    1.46900 |              |             \n",
            "1m 33.03s   |        966 |        322 |          0 |    1.46862 |              |             \n",
            "1m 34.06s   |        977 |        325 |          2 |    1.46994 |              |             \n",
            "1m 35.09s   |        988 |        329 |          1 |    1.46853 |              |             \n",
            "1m 36.03s   |        998 |        332 |          2 |    1.46851 |              |             \n",
            "1m 37.07s   |       1009 |        336 |          1 |    1.46806 |              |             \n",
            "1m 38.01s   |       1019 |        339 |          2 |    1.47003 |              |             \n",
            "1m 39.04s   |       1030 |        343 |          1 |    2.02527 |              |             \n",
            "1m 40.08s   |       1041 |        347 |          0 |    1.90324 |              |             \n",
            "1m 41.02s   |       1051 |        350 |          1 |    1.80122 |              |             \n",
            "1m 42.06s   |       1062 |        354 |          0 |    1.69053 |              |             \n",
            "1m 43.00s   |       1072 |        357 |          1 |    1.59801 |              |             \n",
            "1m 44.04s   |       1083 |        361 |          0 |    1.55131 |              |             \n",
            "1m 45.08s   |       1094 |        364 |          2 |    1.52437 |              |             \n",
            "1m 46.02s   |       1104 |        368 |          0 |    1.50937 |              |             \n",
            "1m 47.06s   |       1115 |        371 |          2 |    1.49655 |              |             \n",
            "1m 48.00s   |       1125 |        375 |          0 |    1.49236 |              |             \n",
            "1m 49.04s   |       1136 |        378 |          2 |    1.48557 |              |             \n",
            "1m 50.08s   |       1147 |        382 |          1 |    1.48617 |              |             \n",
            "1m 51.03s   |       1157 |        385 |          2 |    1.48392 |              |             \n",
            "1m 52.07s   |       1168 |        389 |          1 |    1.47831 |              |             \n",
            "1m 53.02s   |       1178 |        392 |          2 |    1.47764 |              |             \n",
            "1m 54.07s   |       1189 |        396 |          1 |    1.47472 |              |             \n",
            "1m 55.03s   |       1199 |        399 |          2 |    1.47930 |              |             \n",
            "1m 56.07s   |       1210 |        403 |          1 |    1.47553 |              |             \n",
            "1m 57.02s   |       1220 |        406 |          2 |    1.47542 |              |             \n",
            "1m 58.07s   |       1231 |        410 |          1 |    1.47489 |              |             \n",
            "1m 59.03s   |       1241 |        413 |          2 |    1.47563 |              |             \n",
            "2m  0.08s   |       1252 |        417 |          1 |    1.47287 |              |             \n",
            "2m  1.03s   |       1262 |        420 |          2 |    1.47326 |              |             \n",
            "2m  2.08s   |       1273 |        424 |          1 |    1.47115 |              |             \n",
            "2m  3.03s   |       1283 |        427 |          2 |    1.47265 |              |             \n",
            "2m  4.08s   |       1294 |        431 |          1 |    1.47263 |              |             \n",
            "2m  5.04s   |       1304 |        434 |          2 |    1.47409 |              |             \n",
            "2m  6.00s   |       1314 |        438 |          0 |    1.46952 |              |             \n",
            "2m  7.06s   |       1325 |        441 |          2 |    1.46699 |              |             \n",
            "2m  8.02s   |       1335 |        445 |          0 |    1.47329 |              |             \n",
            "2m  9.07s   |       1346 |        448 |          2 |    1.47158 |              |             \n",
            "2m 10.03s   |       1356 |        452 |          0 |    1.46899 |              |             \n",
            "2m 11.08s   |       1367 |        455 |          2 |    1.47036 |              |             \n",
            "2m 12.04s   |       1377 |        459 |          0 |    1.47003 |              |             \n",
            "2m 13.09s   |       1388 |        462 |          2 |    1.46751 |              |             \n",
            "2m 14.05s   |       1398 |        466 |          0 |    1.46685 |              |             \n",
            "2m 15.02s   |       1408 |        469 |          1 |    1.46986 |              |             \n",
            "2m 16.09s   |       1419 |        473 |          0 |    1.46964 |              |             \n",
            "2m 17.05s   |       1429 |        476 |          1 |    1.46817 |              |             \n",
            "2m 18.01s   |       1439 |        479 |          2 |    1.46826 |              |             \n",
            "2m 19.07s   |       1450 |        483 |          1 |    1.46648 |              |             \n",
            "2m 20.03s   |       1460 |        486 |          2 |    1.47043 |              |             \n",
            "2m 21.09s   |       1471 |        490 |          1 |    1.46920 |              |             \n",
            "2m 22.06s   |       1481 |        493 |          2 |    1.47089 |              |             \n",
            "2m 23.02s   |       1491 |        497 |          0 |    1.46903 |              |             \n",
            "2m 24.08s   |       1502 |        500 |          2 |    1.46882 |              |             \n",
            "2m 25.04s   |       1512 |        504 |          0 |    1.46621 |              |             \n",
            "2m 26.01s   |       1522 |        507 |          1 |    1.46595 |              |             \n",
            "2m 27.07s   |       1533 |        511 |          0 |    1.46859 |              |             \n",
            "2m 28.04s   |       1543 |        514 |          1 |    1.46619 |              |             \n",
            "2m 29.01s   |       1553 |        517 |          2 |    1.47016 |              |             \n",
            "2m 30.07s   |       1564 |        521 |          1 |    2.05772 |              |             \n",
            "2m 31.05s   |       1574 |        524 |          2 |    2.00598 |              |             \n",
            "2m 32.01s   |       1584 |        528 |          0 |    1.94645 |              |             \n",
            "2m 33.07s   |       1595 |        531 |          2 |    1.88603 |              |             \n",
            "2m 34.03s   |       1605 |        535 |          0 |    1.83322 |              |             \n",
            "2m 35.10s   |       1616 |        538 |          2 |    1.75630 |              |             \n",
            "2m 36.06s   |       1626 |        542 |          0 |    1.65855 |              |             \n",
            "2m 37.02s   |       1636 |        545 |          1 |    1.62149 |              |             \n",
            "2m 38.08s   |       1647 |        549 |          0 |    1.60040 |              |             \n",
            "2m 39.05s   |       1657 |        552 |          1 |    1.59188 |              |             \n",
            "2m 40.02s   |       1667 |        555 |          2 |    1.56705 |              |             \n",
            "2m 41.08s   |       1678 |        559 |          1 |    1.57262 |              |             \n",
            "2m 42.06s   |       1688 |        562 |          2 |    1.55589 |              |             \n",
            "2m 43.03s   |       1698 |        566 |          0 |    1.54047 |              |             \n",
            "2m 44.00s   |       1708 |        569 |          1 |    1.53498 |              |             \n",
            "2m 45.07s   |       1719 |        573 |          0 |    1.52667 |              |             \n",
            "2m 46.04s   |       1729 |        576 |          1 |    1.52351 |              |             \n",
            "2m 47.01s   |       1739 |        579 |          2 |    1.51260 |              |             \n",
            "2m 48.08s   |       1750 |        583 |          1 |    1.50357 |              |             \n",
            "2m 49.05s   |       1760 |        586 |          2 |    1.51481 |              |             \n",
            "2m 50.02s   |       1770 |        590 |          0 |    1.48756 |              |             \n",
            "2m 51.09s   |       1781 |        593 |          2 |    1.48601 |              |             \n",
            "2m 52.06s   |       1791 |        597 |          0 |    1.47761 |              |             \n",
            "2m 53.04s   |       1801 |        600 |          1 |    1.47925 |              |             \n",
            "2m 54.02s   |       1811 |        603 |          2 |    1.47639 |              |             \n",
            "2m 55.09s   |       1822 |        607 |          1 |    1.47708 |              |             \n",
            "2m 56.07s   |       1832 |        610 |          2 |    1.47252 |              |             \n",
            "2m 57.04s   |       1842 |        614 |          0 |    1.47824 |              |             \n",
            "2m 58.01s   |       1852 |        617 |          1 |    1.47354 |              |             \n",
            "2m 59.09s   |       1863 |        621 |          0 |    1.47631 |              |             \n",
            "3m  0.07s   |       1873 |        624 |          1 |    1.47407 |              |             \n",
            "3m  1.05s   |       1883 |        627 |          2 |    1.47112 |              |             \n",
            "3m  2.03s   |       1893 |        631 |          0 |    1.47001 |              |             \n",
            "3m  3.01s   |       1903 |        634 |          1 |    1.47180 |              |             \n",
            "3m  4.09s   |       1914 |        638 |          0 |    1.47429 |              |             \n",
            "3m  5.07s   |       1924 |        641 |          1 |    1.46766 |              |             \n",
            "3m  6.05s   |       1934 |        644 |          2 |    1.46966 |              |             \n",
            "3m  7.03s   |       1944 |        648 |          0 |    1.47211 |              |             \n",
            "3m  8.02s   |       1954 |        651 |          1 |    1.46840 |              |             \n",
            "3m  9.09s   |       1965 |        655 |          0 |    1.46861 |              |             \n",
            "3m 10.07s   |       1975 |        658 |          1 |    1.46932 |              |             \n",
            "3m 11.05s   |       1985 |        661 |          2 |    1.47174 |              |             \n",
            "3m 12.03s   |       1995 |        665 |          0 |    1.46684 |              |             \n",
            "3m 13.02s   |       2005 |        668 |          1 |    1.46877 |              |             \n",
            "3m 14.10s   |       2016 |        672 |          0 |    1.46959 |              |             \n",
            "3m 15.08s   |       2026 |        675 |          1 |    1.46929 |              |             \n",
            "3m 16.06s   |       2036 |        678 |          2 |    1.46907 |              |             \n",
            "3m 17.05s   |       2046 |        682 |          0 |    1.46738 |              |             \n",
            "3m 18.03s   |       2056 |        685 |          1 |    1.46731 |              |             \n",
            "3m 19.02s   |       2066 |        688 |          2 |    1.46716 |              |             \n",
            "3m 20.01s   |       2076 |        692 |          0 |    1.46851 |              |             \n",
            "3m 21.09s   |       2087 |        695 |          2 |    1.46739 |              |             \n",
            "3m 22.07s   |       2097 |        699 |          0 |    1.46595 |              |             \n",
            "3m 23.05s   |       2107 |        702 |          1 |    1.46718 |              |             \n",
            "3m 24.03s   |       2117 |        705 |          2 |    1.46978 |              |             \n",
            "3m 25.02s   |       2127 |        709 |          0 |    1.46526 |              |             \n",
            "3m 26.01s   |       2137 |        712 |          1 |    1.46852 |              |             \n",
            "3m 27.09s   |       2148 |        716 |          0 |    1.46801 |              |             \n",
            "3m 28.08s   |       2158 |        719 |          1 |    1.46800 |              |             \n",
            "3m 29.09s   |       2168 |        722 |          2 |    1.46840 |              |             \n",
            "3m 30.09s   |       2178 |        726 |          0 |    1.46666 |              |             \n",
            "3m 31.09s   |       2188 |        729 |          1 |    1.46926 |              |             \n",
            "3m 32.09s   |       2198 |        732 |          2 |    1.46641 |              |             \n",
            "3m 33.07s   |       2208 |        736 |          0 |    1.46628 |              |             \n",
            "3m 34.05s   |       2218 |        739 |          1 |    1.46918 |              |             \n",
            "3m 35.04s   |       2228 |        742 |          2 |    1.46881 |              |             \n",
            "3m 36.02s   |       2238 |        746 |          0 |    1.46501 |              |             \n",
            "3m 37.01s   |       2248 |        749 |          1 |    1.46664 |              |             \n",
            "3m 38.09s   |       2259 |        753 |          0 |    1.46766 |              |             \n",
            "3m 39.08s   |       2269 |        756 |          1 |    1.46615 |              |             \n",
            "3m 40.07s   |       2279 |        759 |          2 |    1.46511 |              |             \n",
            "3m 41.06s   |       2289 |        763 |          0 |    1.46622 |              |             \n",
            "3m 42.04s   |       2299 |        766 |          1 |    1.46765 |              |             \n",
            "3m 43.04s   |       2309 |        769 |          2 |    1.46628 |              |             \n",
            "3m 44.03s   |       2319 |        773 |          0 |    1.46624 |              |             \n",
            "3m 45.02s   |       2329 |        776 |          1 |    1.46641 |              |             \n",
            "3m 46.00s   |       2339 |        779 |          2 |    1.46733 |              |             \n",
            "3m 47.09s   |       2350 |        783 |          1 |    1.46457 |              |             \n",
            "3m 48.08s   |       2360 |        786 |          2 |    1.46459 |              |             \n",
            "3m 49.08s   |       2370 |        790 |          0 |    1.46875 |              |             \n",
            "3m 50.06s   |       2380 |        793 |          1 |    1.46730 |              |             \n",
            "3m 51.05s   |       2390 |        796 |          2 |    1.46481 |              |             \n",
            "3m 52.04s   |       2400 |        800 |          0 |    1.46565 |              |             \n",
            "3m 53.04s   |       2410 |        803 |          1 |    1.46705 |              |             \n",
            "3m 54.03s   |       2420 |        806 |          2 |    1.46715 |              |             \n",
            "3m 55.02s   |       2430 |        810 |          0 |    1.46573 |              |             \n",
            "3m 56.02s   |       2440 |        813 |          1 |    1.46579 |              |             \n",
            "3m 57.01s   |       2450 |        816 |          2 |    1.46429 |              |             \n",
            "3m 58.00s   |       2460 |        820 |          0 |    1.46573 |              |             \n",
            "3m 59.00s   |       2470 |        823 |          1 |    1.46700 |              |             \n",
            "4m  0.09s   |       2481 |        827 |          0 |    1.46458 |              |             \n",
            "4m  1.08s   |       2491 |        830 |          1 |    1.46687 |              |             \n",
            "4m  2.08s   |       2501 |        833 |          2 |    1.46569 |              |             \n",
            "4m  3.07s   |       2511 |        837 |          0 |    1.46702 |              |             \n",
            "4m  4.06s   |       2521 |        840 |          1 |    1.46543 |              |             \n",
            "4m  5.06s   |       2531 |        843 |          2 |    1.46676 |              |             \n",
            "4m  6.05s   |       2541 |        847 |          0 |    1.46549 |              |             \n",
            "4m  7.05s   |       2551 |        850 |          1 |    1.46816 |              |             \n",
            "4m  8.05s   |       2561 |        853 |          2 |    1.46691 |              |             \n",
            "4m  9.05s   |       2571 |        857 |          0 |    1.46551 |              |             \n",
            "4m 10.04s   |       2581 |        860 |          1 |    1.46543 |              |             \n",
            "4m 11.04s   |       2591 |        863 |          2 |    1.46421 |              |             \n",
            "4m 12.03s   |       2601 |        867 |          0 |    1.46545 |              |             \n",
            "4m 13.02s   |       2611 |        870 |          1 |    1.46676 |              |             \n",
            "4m 14.02s   |       2621 |        873 |          2 |    1.46681 |              |             \n",
            "4m 15.02s   |       2631 |        877 |          0 |    1.46549 |              |             \n",
            "4m 16.01s   |       2641 |        880 |          1 |    1.46389 |              |             \n",
            "4m 17.01s   |       2651 |        883 |          2 |    1.46394 |              |             \n",
            "4m 18.01s   |       2661 |        887 |          0 |    1.46393 |              |             \n",
            "4m 19.02s   |       2671 |        890 |          1 |    1.46665 |              |             \n",
            "4m 20.02s   |       2681 |        893 |          2 |    1.46526 |              |             \n",
            "4m 21.03s   |       2691 |        897 |          0 |    1.46527 |              |             \n",
            "4m 22.02s   |       2701 |        900 |          1 |    1.46373 |              |             \n",
            "4m 23.03s   |       2711 |        903 |          2 |    1.46655 |              |             \n",
            "4m 24.02s   |       2721 |        907 |          0 |    1.46660 |              |             \n",
            "4m 25.03s   |       2731 |        910 |          1 |    1.46378 |              |             \n",
            "4m 26.03s   |       2741 |        913 |          2 |    1.46637 |              |             \n",
            "4m 27.04s   |       2751 |        917 |          0 |    1.46374 |              |             \n",
            "4m 28.03s   |       2761 |        920 |          1 |    1.46371 |              |             \n",
            "4m 29.04s   |       2771 |        923 |          2 |    1.46366 |              |             \n",
            "4m 30.04s   |       2781 |        927 |          0 |    1.46502 |              |             \n",
            "4m 31.05s   |       2791 |        930 |          1 |    1.46647 |              |             \n",
            "4m 32.06s   |       2801 |        933 |          2 |    1.46765 |              |             \n",
            "4m 33.07s   |       2811 |        937 |          0 |    1.46364 |              |             \n",
            "4m 34.07s   |       2821 |        940 |          1 |    1.46767 |              |             \n",
            "4m 35.08s   |       2831 |        943 |          2 |    1.46776 |              |             \n",
            "4m 36.08s   |       2841 |        947 |          0 |    1.46490 |              |             \n",
            "4m 37.08s   |       2851 |        950 |          1 |    1.46487 |              |             \n",
            "4m 38.08s   |       2861 |        953 |          2 |    1.46498 |              |             \n",
            "4m 39.09s   |       2871 |        957 |          0 |    1.46764 |              |             \n",
            "4m 40.10s   |       2881 |        960 |          1 |    1.46639 |              |             \n",
            "4m 41.10s   |       2891 |        963 |          2 |    1.46352 |              |             \n",
            "4m 42.01s   |       2900 |        966 |          2 |    1.46625 |              |             \n",
            "4m 43.02s   |       2910 |        970 |          0 |    1.46619 |              |             \n",
            "4m 44.03s   |       2920 |        973 |          1 |    1.46355 |              |             \n",
            "4m 45.05s   |       2930 |        976 |          2 |    1.46354 |              |             \n",
            "4m 46.06s   |       2940 |        980 |          0 |    1.46908 |              |             \n",
            "4m 47.06s   |       2950 |        983 |          1 |    1.46616 |              |             \n",
            "4m 48.07s   |       2960 |        986 |          2 |    1.46614 |              |             \n",
            "4m 49.07s   |       2970 |        990 |          0 |    1.46498 |              |             \n",
            "4m 50.08s   |       2980 |        993 |          1 |    1.46354 |              |             \n",
            "4m 51.09s   |       2990 |        996 |          2 |    1.46497 |              |             \n",
            "4m 52.00s   |       2999 |        999 |          2 |    1.46344 |              |             \n",
            "4m 53.00s   |       3009 |       1003 |          0 |    1.46342 |              |             \n",
            "4m 54.02s   |       3019 |       1006 |          1 |    1.46611 |              |             \n",
            "4m 55.03s   |       3029 |       1009 |          2 |    1.46340 |              |             \n",
            "4m 56.05s   |       3039 |       1013 |          0 |    1.46337 |              |             \n",
            "4m 57.06s   |       3049 |       1016 |          1 |    1.46755 |              |             \n",
            "4m 58.07s   |       3059 |       1019 |          2 |    1.46473 |              |             \n",
            "4m 59.07s   |       3069 |       1023 |          0 |    1.46600 |              |             \n",
            "5m  0.08s   |       3079 |       1026 |          1 |    1.46340 |              |             \n",
            "5m  1.08s   |       3089 |       1029 |          2 |    1.46342 |              |             \n",
            "5m  2.09s   |       3099 |       1033 |          0 |    1.46338 |              |             \n",
            "5m  3.10s   |       3109 |       1036 |          1 |    1.46609 |              |             \n",
            "5m  4.00s   |       3118 |       1039 |          1 |    1.46617 |              |             \n",
            "5m  5.02s   |       3128 |       1042 |          2 |    1.46481 |              |             \n",
            "5m  6.03s   |       3138 |       1046 |          0 |    1.46477 |              |             \n",
            "5m  7.04s   |       3148 |       1049 |          1 |    1.82464 |              |             \n",
            "5m  8.05s   |       3158 |       1052 |          2 |    1.79221 |              |             \n",
            "5m  9.07s   |       3168 |       1056 |          0 |    1.71738 |              |             \n",
            "5m 10.08s   |       3178 |       1059 |          1 |    1.64831 |              |             \n",
            "5m 11.09s   |       3188 |       1062 |          2 |    1.60849 |              |             \n",
            "5m 12.00s   |       3197 |       1065 |          2 |    1.60142 |              |             \n",
            "5m 13.02s   |       3207 |       1069 |          0 |    1.58900 |              |             \n",
            "5m 14.03s   |       3217 |       1072 |          1 |    1.58941 |              |             \n",
            "5m 15.04s   |       3227 |       1075 |          2 |    1.59031 |              |             \n",
            "5m 16.05s   |       3237 |       1079 |          0 |    1.58804 |              |             \n",
            "5m 17.07s   |       3247 |       1082 |          1 |    1.58251 |              |             \n",
            "5m 18.08s   |       3257 |       1085 |          2 |    1.57970 |              |             \n",
            "5m 19.09s   |       3267 |       1089 |          0 |    1.58572 |              |             \n",
            "5m 20.01s   |       3276 |       1092 |          0 |    1.57853 |              |             \n",
            "5m 21.02s   |       3286 |       1095 |          1 |    1.57408 |              |             \n",
            "5m 22.03s   |       3296 |       1098 |          2 |    1.57262 |              |             \n",
            "5m 23.04s   |       3306 |       1102 |          0 |    1.56562 |              |             \n",
            "5m 24.06s   |       3316 |       1105 |          1 |    1.56174 |              |             \n",
            "5m 25.07s   |       3326 |       1108 |          2 |    1.55952 |              |             \n",
            "5m 26.08s   |       3336 |       1112 |          0 |    1.55431 |              |             \n",
            "5m 27.09s   |       3346 |       1115 |          1 |    1.56136 |              |             \n",
            "5m 28.01s   |       3355 |       1118 |          1 |    1.54885 |              |             \n",
            "5m 29.02s   |       3365 |       1121 |          2 |    1.55402 |              |             \n",
            "5m 30.03s   |       3375 |       1125 |          0 |    1.54685 |              |             \n",
            "5m 31.04s   |       3385 |       1128 |          1 |    1.55506 |              |             \n",
            "5m 32.06s   |       3395 |       1131 |          2 |    1.55006 |              |             \n",
            "5m 33.07s   |       3405 |       1135 |          0 |    1.53931 |              |             \n",
            "5m 34.08s   |       3415 |       1138 |          1 |    1.52982 |              |             \n",
            "5m 35.10s   |       3425 |       1141 |          2 |    1.50615 |              |             \n",
            "5m 36.01s   |       3434 |       1144 |          2 |    1.50495 |              |             \n",
            "5m 37.02s   |       3444 |       1148 |          0 |    1.49647 |              |             \n",
            "5m 38.03s   |       3454 |       1151 |          1 |    1.49607 |              |             \n",
            "5m 39.04s   |       3464 |       1154 |          2 |    1.49049 |              |             \n",
            "5m 40.06s   |       3474 |       1158 |          0 |    1.48325 |              |             \n",
            "5m 41.07s   |       3484 |       1161 |          1 |    1.47890 |              |             \n",
            "5m 42.08s   |       3494 |       1164 |          2 |    1.48346 |              |             \n",
            "5m 43.10s   |       3504 |       1168 |          0 |    1.47949 |              |             \n",
            "5m 44.01s   |       3513 |       1171 |          0 |    1.48391 |              |             \n",
            "5m 45.02s   |       3523 |       1174 |          1 |    1.48491 |              |             \n",
            "5m 46.03s   |       3533 |       1177 |          2 |    1.47632 |              |             \n",
            "5m 47.05s   |       3543 |       1181 |          0 |    1.47926 |              |             \n",
            "5m 48.06s   |       3553 |       1184 |          1 |    1.47727 |              |             \n",
            "5m 49.07s   |       3563 |       1187 |          2 |    1.47764 |              |             \n",
            "5m 50.09s   |       3573 |       1191 |          0 |    1.47539 |              |             \n",
            "5m 51.10s   |       3583 |       1194 |          1 |    1.47532 |              |             \n",
            "5m 52.01s   |       3592 |       1197 |          1 |    1.47533 |              |             \n",
            "5m 53.03s   |       3602 |       1200 |          2 |    1.47491 |              |             \n",
            "5m 54.04s   |       3612 |       1204 |          0 |    1.47775 |              |             \n",
            "5m 55.05s   |       3622 |       1207 |          1 |    1.47099 |              |             \n",
            "5m 56.07s   |       3632 |       1210 |          2 |    1.47283 |              |             \n",
            "5m 57.08s   |       3642 |       1214 |          0 |    1.47321 |              |             \n",
            "5m 58.09s   |       3652 |       1217 |          1 |    1.47970 |              |             \n",
            "5m 59.01s   |       3661 |       1220 |          1 |    1.47444 |              |             \n",
            "6m  0.02s   |       3671 |       1223 |          2 |    1.47344 |              |             \n",
            "6m  1.04s   |       3681 |       1227 |          0 |    1.47335 |              |             \n",
            "6m  2.05s   |       3691 |       1230 |          1 |    1.47241 |              |             \n",
            "6m  3.06s   |       3701 |       1233 |          2 |    1.47073 |              |             \n",
            "6m  4.08s   |       3711 |       1237 |          0 |    1.46826 |              |             \n",
            "6m  5.09s   |       3721 |       1240 |          1 |    1.47546 |              |             \n",
            "6m  6.00s   |       3730 |       1243 |          1 |    1.47329 |              |             \n",
            "6m  7.02s   |       3740 |       1246 |          2 |    1.47167 |              |             \n",
            "6m  8.03s   |       3750 |       1250 |          0 |    1.47072 |              |             \n",
            "6m  9.05s   |       3760 |       1253 |          1 |    1.46964 |              |             \n",
            "6m 10.06s   |       3770 |       1256 |          2 |    1.46999 |              |             \n",
            "6m 11.07s   |       3780 |       1260 |          0 |    1.47061 |              |             \n",
            "6m 12.09s   |       3790 |       1263 |          1 |    1.46803 |              |             \n",
            "6m 13.00s   |       3799 |       1266 |          1 |    1.47136 |              |             \n",
            "6m 14.01s   |       3809 |       1269 |          2 |    1.47046 |              |             \n",
            "6m 15.03s   |       3819 |       1273 |          0 |    1.47006 |              |             \n",
            "6m 16.04s   |       3829 |       1276 |          1 |    1.47064 |              |             \n",
            "6m 17.05s   |       3839 |       1279 |          2 |    1.47119 |              |             \n",
            "6m 18.07s   |       3849 |       1283 |          0 |    1.47141 |              |             \n",
            "6m 19.08s   |       3859 |       1286 |          1 |    1.47206 |              |             \n",
            "6m 20.09s   |       3869 |       1289 |          2 |    1.46939 |              |             \n",
            "6m 21.09s   |       3879 |       1293 |          0 |    1.46845 |              |             \n",
            "6m 22.01s   |       3888 |       1296 |          0 |    1.46973 |              |             \n",
            "6m 23.02s   |       3898 |       1299 |          1 |    1.47006 |              |             \n",
            "6m 24.03s   |       3908 |       1302 |          2 |    1.46943 |              |             \n",
            "6m 25.04s   |       3918 |       1306 |          0 |    1.47254 |              |             \n",
            "6m 26.06s   |       3928 |       1309 |          1 |    1.47126 |              |             \n",
            "6m 27.07s   |       3938 |       1312 |          2 |    1.46907 |              |             \n",
            "6m 28.09s   |       3948 |       1316 |          0 |    1.46956 |              |             \n",
            "6m 29.10s   |       3958 |       1319 |          1 |    1.47102 |              |             \n",
            "6m 30.01s   |       3967 |       1322 |          1 |    1.46914 |              |             \n",
            "6m 31.02s   |       3977 |       1325 |          2 |    1.46891 |              |             \n",
            "6m 32.03s   |       3987 |       1329 |          0 |    1.46947 |              |             \n",
            "6m 33.05s   |       3997 |       1332 |          1 |    1.46968 |              |             \n",
            "6m 34.06s   |       4007 |       1335 |          2 |    1.47178 |              |             \n",
            "6m 35.07s   |       4017 |       1339 |          0 |    1.47265 |              |             \n",
            "6m 36.08s   |       4027 |       1342 |          1 |    1.46802 |              |             \n",
            "6m 37.10s   |       4037 |       1345 |          2 |    1.46944 |              |             \n",
            "6m 38.01s   |       4046 |       1348 |          2 |    1.47098 |              |             \n",
            "6m 39.02s   |       4056 |       1352 |          0 |    1.47150 |              |             \n",
            "6m 40.03s   |       4066 |       1355 |          1 |    1.47036 |              |             \n",
            "6m 41.04s   |       4076 |       1358 |          2 |    1.46929 |              |             \n",
            "6m 42.06s   |       4086 |       1362 |          0 |    1.46791 |              |             \n",
            "6m 43.07s   |       4096 |       1365 |          1 |    1.47051 |              |             \n",
            "6m 44.08s   |       4106 |       1368 |          2 |    1.46921 |              |             \n",
            "6m 45.09s   |       4116 |       1372 |          0 |    1.47073 |              |             \n",
            "6m 46.01s   |       4125 |       1375 |          0 |    1.47056 |              |             \n",
            "6m 47.02s   |       4135 |       1378 |          1 |    1.46885 |              |             \n",
            "6m 48.03s   |       4145 |       1381 |          2 |    1.47062 |              |             \n",
            "6m 49.04s   |       4155 |       1385 |          0 |    1.47038 |              |             \n",
            "6m 50.06s   |       4165 |       1388 |          1 |    1.46767 |              |             \n",
            "6m 51.07s   |       4175 |       1391 |          2 |    1.47560 |              |             \n",
            "6m 52.00s   |       4184 |       1394 |          2 |    1.47289 |              |             \n",
            "6m 53.02s   |       4194 |       1398 |          0 |    1.47138 |              |             \n",
            "6m 54.03s   |       4204 |       1401 |          1 |    1.46859 |              |             \n",
            "6m 55.04s   |       4214 |       1404 |          2 |    1.47133 |              |             \n",
            "6m 56.05s   |       4224 |       1408 |          0 |    1.47028 |              |             \n",
            "6m 57.07s   |       4234 |       1411 |          1 |    1.46774 |              |             \n",
            "6m 58.08s   |       4244 |       1414 |          2 |    1.46910 |              |             \n",
            "6m 59.09s   |       4254 |       1418 |          0 |    1.47302 |              |             \n",
            "7m  0.00s   |       4263 |       1421 |          0 |    1.47380 |              |             \n",
            "7m  1.02s   |       4273 |       1424 |          1 |    1.46892 |              |             \n",
            "7m  2.03s   |       4283 |       1427 |          2 |    1.46919 |              |             \n",
            "7m  3.04s   |       4293 |       1431 |          0 |    1.47064 |              |             \n",
            "7m  4.05s   |       4303 |       1434 |          1 |    1.46846 |              |             \n",
            "7m  5.07s   |       4313 |       1437 |          2 |    1.46993 |              |             \n",
            "7m  6.08s   |       4323 |       1441 |          0 |    1.47055 |              |             \n",
            "7m  7.10s   |       4333 |       1444 |          1 |    1.46645 |              |             \n",
            "7m  8.01s   |       4342 |       1447 |          1 |    1.47270 |              |             \n",
            "7m  9.02s   |       4352 |       1450 |          2 |    1.47309 |              |             \n",
            "7m 10.03s   |       4362 |       1454 |          0 |    1.46658 |              |             \n",
            "7m 11.05s   |       4372 |       1457 |          1 |    1.46994 |              |             \n",
            "7m 12.06s   |       4382 |       1460 |          2 |    1.46775 |              |             \n",
            "7m 13.08s   |       4392 |       1464 |          0 |    1.46735 |              |             \n",
            "7m 14.09s   |       4402 |       1467 |          1 |    1.46917 |              |             \n",
            "7m 15.00s   |       4411 |       1470 |          1 |    1.46765 |              |             \n",
            "7m 16.02s   |       4421 |       1473 |          2 |    1.46904 |              |             \n",
            "7m 17.03s   |       4431 |       1477 |          0 |    1.46907 |              |             \n",
            "7m 18.04s   |       4441 |       1480 |          1 |    1.47148 |              |             \n",
            "7m 19.06s   |       4451 |       1483 |          2 |    1.46872 |              |             \n",
            "7m 20.07s   |       4461 |       1487 |          0 |    1.47041 |              |             \n",
            "7m 21.09s   |       4471 |       1490 |          1 |    1.46790 |              |             \n",
            "7m 22.00s   |       4480 |       1493 |          1 |    1.47145 |              |             \n",
            "7m 23.03s   |       4490 |       1496 |          2 |    1.47038 |              |             \n",
            "7m 24.04s   |       4500 |       1500 |          0 |    1.46892 |              |             \n",
            "7m 25.06s   |       4510 |       1503 |          1 |    1.46979 |              |             \n",
            "7m 26.07s   |       4520 |       1506 |          2 |    1.46761 |              |             \n",
            "7m 27.08s   |       4530 |       1510 |          0 |    1.46875 |              |             \n",
            "7m 28.09s   |       4540 |       1513 |          1 |    1.47124 |              |             \n",
            "7m 29.01s   |       4549 |       1516 |          1 |    1.47002 |              |             \n",
            "7m 30.02s   |       4559 |       1519 |          2 |    1.47010 |              |             \n",
            "7m 31.03s   |       4569 |       1523 |          0 |    1.46865 |              |             \n",
            "7m 32.04s   |       4579 |       1526 |          1 |    1.46861 |              |             \n",
            "7m 33.06s   |       4589 |       1529 |          2 |    1.47113 |              |             \n",
            "7m 34.07s   |       4599 |       1533 |          0 |    1.46842 |              |             \n",
            "7m 35.08s   |       4609 |       1536 |          1 |    1.46581 |              |             \n",
            "7m 36.09s   |       4619 |       1539 |          2 |    1.47004 |              |             \n",
            "7m 37.01s   |       4628 |       1542 |          2 |    1.46595 |              |             \n",
            "7m 38.02s   |       4638 |       1546 |          0 |    1.46745 |              |             \n",
            "7m 39.03s   |       4648 |       1549 |          1 |    1.46845 |              |             \n",
            "7m 40.04s   |       4658 |       1552 |          2 |    1.46710 |              |             \n",
            "7m 41.06s   |       4668 |       1556 |          0 |    1.46739 |              |             \n",
            "7m 42.07s   |       4678 |       1559 |          1 |    1.47139 |              |             \n",
            "7m 43.08s   |       4688 |       1562 |          2 |    1.46846 |              |             \n",
            "7m 44.10s   |       4698 |       1566 |          0 |    1.46871 |              |             \n",
            "7m 45.01s   |       4707 |       1569 |          0 |    1.46872 |              |             \n",
            "7m 46.02s   |       4717 |       1572 |          1 |    1.46999 |              |             \n",
            "7m 47.03s   |       4727 |       1575 |          2 |    1.47057 |              |             \n",
            "7m 48.05s   |       4737 |       1579 |          0 |    1.47010 |              |             \n",
            "7m 49.06s   |       4747 |       1582 |          1 |    1.47266 |              |             \n",
            "7m 50.07s   |       4757 |       1585 |          2 |    1.46600 |              |             \n",
            "7m 51.08s   |       4767 |       1589 |          0 |    1.46743 |              |             \n",
            "7m 52.10s   |       4777 |       1592 |          1 |    1.46755 |              |             \n",
            "7m 53.01s   |       4786 |       1595 |          1 |    1.46913 |              |             \n",
            "7m 54.02s   |       4796 |       1598 |          2 |    1.46859 |              |             \n",
            "7m 55.03s   |       4806 |       1602 |          0 |    1.47163 |              |             \n",
            "7m 56.05s   |       4816 |       1605 |          1 |    1.46986 |              |             \n",
            "7m 57.06s   |       4826 |       1608 |          2 |    1.47107 |              |             \n",
            "7m 58.08s   |       4836 |       1612 |          0 |    1.46852 |              |             \n",
            "7m 59.09s   |       4846 |       1615 |          1 |    1.46974 |              |             \n",
            "8m  0.00s   |       4855 |       1618 |          1 |    1.47144 |              |             \n",
            "8m  1.01s   |       4865 |       1621 |          2 |    1.47131 |              |             \n",
            "8m  2.03s   |       4875 |       1625 |          0 |    1.46996 |              |             \n",
            "8m  3.04s   |       4885 |       1628 |          1 |    1.47011 |              |             \n",
            "8m  4.05s   |       4895 |       1631 |          2 |    1.47276 |              |             \n",
            "8m  5.07s   |       4905 |       1635 |          0 |    1.46958 |              |             \n",
            "8m  6.08s   |       4915 |       1638 |          1 |    1.47281 |              |             \n",
            "8m  7.09s   |       4925 |       1641 |          2 |    1.47147 |              |             \n",
            "8m  8.00s   |       4934 |       1644 |          2 |    1.47016 |              |             \n",
            "8m  9.02s   |       4944 |       1648 |          0 |    1.47130 |              |             \n",
            "8m 10.03s   |       4954 |       1651 |          1 |    1.47095 |              |             \n",
            "8m 11.04s   |       4964 |       1654 |          2 |    1.47157 |              |             \n",
            "8m 12.06s   |       4974 |       1658 |          0 |    1.47228 |              |             \n",
            "8m 13.07s   |       4984 |       1661 |          1 |    1.47372 |              |             \n",
            "8m 14.09s   |       4994 |       1664 |          2 |    1.47018 |              |             \n",
            "8m 14.59s   |       5000 |       1666 |            |            |      0.99333 |      0.21010\n",
            "Saving in \"results/train/dICL_lC_mCAr3_tBSDb100lCle1E-05n300oAol0.001s5000_s0/cmd.txt\"\n",
            "Saving in \"results/train/dICL_lC_mCAr3_tBSDb100lCle1E-05n300oAol0.001s5000_s0/args.json\"\n",
            "Saving in \"results/train/dICL_lC_mCAr3_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.json\"\n",
            "Saving in \"results/train/dICL_lC_mCAr3_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.png\"\n",
            "--model_name dICL_lC_mCAr3_tBSDb100lCle1E-05n300oAol0.001s5000_s0\n",
            "Final metrics = 0.99333 (train), 0.21010 (test)\n",
            "Time taken for `train` = 15 minutes 18.08 seconds\n"
          ]
        }
      ],
      "source": [
        "# CapsNet, ImToClass\n",
        "!syndacate train \\\n",
        "  --dataset ImToClass \\\n",
        "  --model CapsNet \\\n",
        "  --trainer BpSpDe \\\n",
        "  --trainer.BpSpDe.n_train 300 \\\n",
        "  --trainer.BpSpDe.steps 5000 \\\n",
        "  --devices 0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "94CHDOkP_2i4",
        "outputId": "c326e526-9941-4aef-ed57-54b2c51d2a81"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cli: ImToParts()\n",
            "Loading from \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\"\n",
            "Could not find \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\", generating now...\n",
            "Creating image 70000/70000 | 100.0 % | t+   6m 53.50s | t-     0.0000s | ETA 2025-05-28 08:29:55 | *************************\n",
            "Saving in \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\"\n",
            "cli: CoordConv()\n",
            "cli: LinearSet2d()\n",
            "cli: RzCnn(blocks_per_stage=2, embedder=CoordConv(num_params=0), expand_ratio=2.0, input_shape=[70000, 1, 100, 100], kernel_size=5, model_dim=64, num_stages=3, output_shape=[70000, 9, 6], pooler=LinearSet2d(num_params=0), stride=2)\n",
            "cli: ChamferMse()\n",
            "cli: Adam(lr=0.001, params=<generator object Module.parameters at 0x7bbc3b174e40>)\n",
            "Time        | Epoch      | Batch      | Batch loss | Train metric | Test metric \n",
            "----------- | ---------- | ---------- | ---------- | ------------ | ------------\n",
            "0.0004s     |          0 |            |            |      7.75093 |      7.69878\n",
            "13.1525s    |          0 |          0 |    7.74353 |              |             \n",
            "14.0427s    |          0 |         19 |    5.04269 |              |             \n",
            "15.0361s    |          0 |         40 |    3.23496 |              |             \n",
            "16.0255s    |          0 |         61 |    2.82399 |              |             \n",
            "17.0169s    |          0 |         82 |    2.56294 |              |             \n",
            "18.0087s    |          0 |        103 |    1.87511 |              |             \n",
            "19.0004s    |          0 |        124 |    1.17244 |              |             \n",
            "20.0388s    |          0 |        146 |    1.01015 |              |             \n",
            "21.0347s    |          0 |        167 |    0.98002 |              |             \n",
            "22.0397s    |          0 |        188 |    0.83476 |              |             \n",
            "23.0409s    |          0 |        209 |    0.81409 |              |             \n",
            "24.0363s    |          0 |        230 |    0.75251 |              |             \n",
            "25.0285s    |          0 |        251 |    0.73163 |              |             \n",
            "26.0229s    |          0 |        272 |    0.73745 |              |             \n",
            "27.0241s    |          0 |        293 |    0.67460 |              |             \n",
            "28.0235s    |          0 |        314 |    0.65926 |              |             \n",
            "29.0267s    |          0 |        335 |    0.65437 |              |             \n",
            "30.0275s    |          0 |        356 |    0.63330 |              |             \n",
            "31.0319s    |          0 |        377 |    0.61001 |              |             \n",
            "32.0328s    |          0 |        398 |    0.65795 |              |             \n",
            "33.0400s    |          0 |        419 |    0.61084 |              |             \n",
            "34.0052s    |          0 |        439 |    0.60098 |              |             \n",
            "35.0189s    |          0 |        460 |    0.50821 |              |             \n",
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            "41.6940s    |          1 |            |            |      0.51486 |      0.50893\n",
            "53.2900s    |          1 |          0 |    0.53332 |              |             \n",
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            "1m  0.04s   |          1 |        138 |    0.46100 |              |             \n",
            "1m  1.01s   |          1 |        158 |    0.45229 |              |             \n",
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            "1m 22.89s   |          2 |            |            |      0.37056 |      0.36757\n",
            "1m 34.83s   |          2 |          0 |    0.39010 |              |             \n",
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            "4m 13.41s   |          6 |            |            |      0.19268 |      0.19387\n",
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            "5m 10.02s   |          7 |         41 |    0.17359 |              |             \n",
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            "5m 50.48s   |          8 |          0 |    0.15972 |              |             \n",
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            "9m 22.89s   |         13 |          0 |    0.18478 |              |             \n",
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            "10m 35.85s  |         15 |            |            |      0.13770 |      0.13853\n",
            "10m 48.00s  |         15 |          0 |    0.13398 |              |             \n",
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            "10m 51.00s  |         15 |         59 |    0.14308 |              |             \n",
            "10m 52.03s  |         15 |         79 |    0.14358 |              |             \n",
            "10m 53.04s  |         15 |         99 |    0.13328 |              |             \n",
            "10m 54.01s  |         15 |        118 |    0.12895 |              |             \n",
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            "11m  0.03s  |         15 |        237 |    0.13074 |              |             \n",
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            "11m  3.03s  |         15 |        296 |    0.12000 |              |             \n",
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            "11m 14.04s  |         15 |        513 |    0.14503 |              |             \n",
            "11m 15.01s  |         15 |        532 |    0.10852 |              |             \n",
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            "11m 18.42s  |         16 |            |            |      0.11853 |      0.12013\n",
            "11m 30.54s  |         16 |          0 |    0.11776 |              |             \n",
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            "11m 32.02s  |         16 |         29 |    0.13767 |              |             \n",
            "11m 33.03s  |         16 |         49 |    0.11107 |              |             \n",
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            "12m 13.05s  |         17 |          0 |    0.11656 |              |             \n",
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            "12m 55.46s  |         18 |          0 |    0.11371 |              |             \n",
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            "13m 38.03s  |         19 |          0 |    0.10704 |              |             \n",
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            "15m  3.20s  |         21 |          0 |    0.07397 |              |             \n",
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            "15m 45.78s  |         22 |          0 |    0.07738 |              |             \n",
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            "16m 16.17s  |         23 |            |            |      0.08610 |      0.08771\n",
            "16m 28.30s  |         23 |          0 |    0.07498 |              |             \n",
            "16m 29.02s  |         23 |         14 |    0.07504 |              |             \n",
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            "16m 31.01s  |         23 |         53 |    0.09499 |              |             \n",
            "16m 32.02s  |         23 |         73 |    0.09290 |              |             \n",
            "16m 33.03s  |         23 |         93 |    0.08366 |              |             \n",
            "16m 34.05s  |         23 |        113 |    0.09938 |              |             \n",
            "16m 35.02s  |         23 |        132 |    0.08455 |              |             \n",
            "16m 36.03s  |         23 |        152 |    0.09127 |              |             \n",
            "16m 37.04s  |         23 |        172 |    0.09568 |              |             \n",
            "16m 38.01s  |         23 |        191 |    0.08678 |              |             \n",
            "16m 39.03s  |         23 |        211 |    0.08787 |              |             \n",
            "16m 40.05s  |         23 |        231 |    0.08293 |              |             \n",
            "16m 41.01s  |         23 |        250 |    0.09545 |              |             \n",
            "16m 42.03s  |         23 |        270 |    0.08821 |              |             \n",
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            "16m 47.02s  |         23 |        368 |    0.08359 |              |             \n",
            "16m 48.03s  |         23 |        388 |    0.08960 |              |             \n",
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            "16m 55.02s  |         23 |        525 |    0.08144 |              |             \n",
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            "16m 58.78s  |         24 |            |            |      0.09244 |      0.09402\n",
            "17m 10.80s  |         24 |          0 |    0.09899 |              |             \n",
            "17m 11.01s  |         24 |          4 |    0.08078 |              |             \n",
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            "17m 16.02s  |         24 |        103 |    0.09235 |              |             \n",
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            "17m 18.01s  |         24 |        142 |    0.07753 |              |             \n",
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            "17m 26.03s  |         24 |        300 |    0.09406 |              |             \n",
            "17m 27.04s  |         24 |        320 |    0.08101 |              |             \n",
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            "17m 32.04s  |         24 |        418 |    0.08158 |              |             \n",
            "17m 33.05s  |         24 |        438 |    0.08026 |              |             \n",
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            "17m 37.01s  |         24 |        516 |    0.08144 |              |             \n",
            "17m 38.02s  |         24 |        536 |    0.06749 |              |             \n",
            "17m 39.04s  |         24 |        556 |    0.07934 |              |             \n",
            "17m 40.05s  |         24 |        576 |    0.09129 |              |             \n",
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            "17m 41.22s  |         25 |            |            |      0.10098 |      0.10270\n",
            "17m 53.38s  |         25 |          0 |    0.09932 |              |             \n",
            "17m 54.00s  |         25 |         12 |    0.08909 |              |             \n",
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            "17m 57.01s  |         25 |         71 |    0.06617 |              |             \n",
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            "18m  0.00s  |         25 |        130 |    0.07926 |              |             \n",
            "18m  1.02s  |         25 |        150 |    0.08470 |              |             \n",
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            "18m 13.00s  |         25 |        386 |    0.10145 |              |             \n",
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            "18m 21.03s  |         25 |        544 |    0.07499 |              |             \n",
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            "18m 23.82s  |         26 |            |            |      0.07744 |      0.07910\n",
            "18m 35.84s  |         26 |          0 |    0.08077 |              |             \n",
            "18m 36.00s  |         26 |          3 |    0.08403 |              |             \n",
            "18m 37.02s  |         26 |         23 |    0.06712 |              |             \n",
            "18m 38.03s  |         26 |         43 |    0.07036 |              |             \n",
            "18m 39.04s  |         26 |         63 |    0.08576 |              |             \n",
            "18m 40.01s  |         26 |         82 |    0.07154 |              |             \n",
            "18m 41.02s  |         26 |        102 |    0.08790 |              |             \n",
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            "18m 43.02s  |         26 |        141 |    0.08083 |              |             \n",
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            "19m  6.28s  |         27 |            |            |      0.74107 |      0.74218\n",
            "19m 18.34s  |         27 |          0 |    0.71537 |              |             \n",
            "19m 19.00s  |         27 |         13 |    0.32841 |              |             \n",
            "19m 20.02s  |         27 |         33 |    0.18374 |              |             \n",
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            "19m 26.02s  |         27 |        151 |    0.09345 |              |             \n",
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            "20m  0.76s  |         28 |          0 |    0.08650 |              |             \n",
            "20m  1.02s  |         28 |          5 |    0.07554 |              |             \n",
            "20m  2.03s  |         28 |         25 |    0.07150 |              |             \n",
            "20m  3.05s  |         28 |         45 |    0.07863 |              |             \n",
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            "20m 16.00s  |         28 |        300 |    0.06471 |              |             \n",
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            "20m 31.20s  |         29 |            |            |      0.07003 |      0.07181\n",
            "20m 43.33s  |         29 |          0 |    0.06049 |              |             \n",
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            "21m 25.73s  |         30 |          0 |    0.06964 |              |             \n",
            "21m 26.04s  |         30 |          6 |    0.06806 |              |             \n",
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            "21m 56.18s  |         31 |            |            |      0.06614 |      0.06844\n",
            "22m  8.33s  |         31 |          0 |    0.06368 |              |             \n",
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            "22m 10.01s  |         31 |         33 |    0.06817 |              |             \n",
            "22m 11.02s  |         31 |         53 |    0.06829 |              |             \n",
            "22m 12.04s  |         31 |         73 |    0.06828 |              |             \n",
            "22m 13.00s  |         31 |         92 |    0.06891 |              |             \n",
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            "50m 36.03s  |         71 |        120 |    0.02851 |              |             \n",
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            "59m 47.30s  |         84 |          0 |    0.02130 |              |             \n",
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            "1h  0m  0s  |         84 |        250 |    0.02146 |              |             \n",
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            "1h  0m 11s  |         84 |        465 |    0.03141 |              |             \n",
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            "1h  0m 13s  |         84 |        505 |    0.02460 |              |             \n",
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            "1h  0m 30s  |         85 |          0 |    0.02773 |              |             \n",
            "1h  0m 31s  |         85 |         20 |    0.02896 |              |             \n",
            "1h  0m 32s  |         85 |         39 |    0.02596 |              |             \n",
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            "1h  0m 39s  |         85 |        176 |    0.02780 |              |             \n",
            "1h  0m 40s  |         85 |        196 |    0.02480 |              |             \n",
            "1h  0m 41s  |         85 |        216 |    0.02740 |              |             \n",
            "1h  0m 42s  |         85 |        235 |    0.02293 |              |             \n",
            "1h  0m 43s  |         85 |        255 |    0.02355 |              |             \n",
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            "1h  0m 48s  |         85 |        353 |    0.02305 |              |             \n",
            "1h  0m 49s  |         85 |        373 |    0.02328 |              |             \n",
            "1h  0m 50s  |         85 |        392 |    0.02584 |              |             \n",
            "1h  0m 51s  |         85 |        412 |    0.03111 |              |             \n",
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            "1h  1m  1s  |         86 |            |            |      0.02619 |      0.02882\n",
            "1h  1m 13s  |         86 |          0 |    0.02810 |              |             \n",
            "1h  1m 13s  |         86 |          9 |    0.02801 |              |             \n",
            "1h  1m 14s  |         86 |         28 |    0.02352 |              |             \n",
            "1h  1m 15s  |         86 |         48 |    0.03156 |              |             \n",
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            "1h  1m 20s  |         86 |        146 |    0.02238 |              |             \n",
            "1h  1m 21s  |         86 |        166 |    0.02715 |              |             \n",
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            "1h  1m 26s  |         86 |        264 |    0.02815 |              |             \n",
            "1h  1m 27s  |         86 |        284 |    0.02642 |              |             \n",
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            "1h  1m 29s  |         86 |        323 |    0.02797 |              |             \n",
            "1h  1m 30s  |         86 |        343 |    0.02819 |              |             \n",
            "1h  1m 31s  |         86 |        362 |    0.02300 |              |             \n",
            "1h  1m 32s  |         86 |        382 |    0.02656 |              |             \n",
            "1h  1m 33s  |         86 |        401 |    0.02583 |              |             \n",
            "1h  1m 34s  |         86 |        421 |    0.03019 |              |             \n",
            "1h  1m 35s  |         86 |        440 |    0.02390 |              |             \n",
            "1h  1m 36s  |         86 |        460 |    0.02815 |              |             \n",
            "1h  1m 37s  |         86 |        480 |    0.02494 |              |             \n",
            "1h  1m 38s  |         86 |        499 |    0.03149 |              |             \n",
            "1h  1m 39s  |         86 |        519 |    0.02820 |              |             \n",
            "1h  1m 40s  |         86 |        539 |    0.02561 |              |             \n",
            "1h  1m 41s  |         86 |        558 |    0.01934 |              |             \n",
            "1h  1m 42s  |         86 |        578 |    0.02481 |              |             \n",
            "1h  1m 43s  |         86 |        598 |    0.03045 |              |             \n",
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            "1h  1m 43s  |         87 |            |            |      0.02600 |      0.02882\n",
            "1h  1m 55s  |         87 |          0 |    0.02366 |              |             \n",
            "1h  1m 56s  |         87 |         16 |    0.02203 |              |             \n",
            "1h  1m 57s  |         87 |         36 |    0.02828 |              |             \n",
            "1h  1m 58s  |         87 |         56 |    0.02718 |              |             \n",
            "1h  1m 59s  |         87 |         75 |    0.02460 |              |             \n",
            "1h  2m  0s  |         87 |         95 |    0.02534 |              |             \n",
            "1h  2m  1s  |         87 |        114 |    0.02547 |              |             \n",
            "1h  2m  2s  |         87 |        134 |    0.02248 |              |             \n",
            "1h  2m  3s  |         87 |        154 |    0.02496 |              |             \n",
            "1h  2m  4s  |         87 |        174 |    0.02293 |              |             \n",
            "1h  2m  5s  |         87 |        193 |    0.02514 |              |             \n",
            "1h  2m  6s  |         87 |        213 |    0.02550 |              |             \n",
            "1h  2m  7s  |         87 |        232 |    0.02033 |              |             \n",
            "1h  2m  8s  |         87 |        252 |    0.02164 |              |             \n",
            "1h  2m  9s  |         87 |        272 |    0.02768 |              |             \n",
            "1h  2m 10s  |         87 |        291 |    0.02526 |              |             \n",
            "1h  2m 11s  |         87 |        311 |    0.02680 |              |             \n",
            "1h  2m 12s  |         87 |        330 |    0.02508 |              |             \n",
            "1h  2m 13s  |         87 |        350 |    0.02851 |              |             \n",
            "1h  2m 14s  |         87 |        370 |    0.02334 |              |             \n",
            "1h  2m 15s  |         87 |        389 |    0.02656 |              |             \n",
            "1h  2m 16s  |         87 |        409 |    0.03107 |              |             \n",
            "1h  2m 17s  |         87 |        429 |    0.02520 |              |             \n",
            "1h  2m 18s  |         87 |        448 |    0.02069 |              |             \n",
            "1h  2m 19s  |         87 |        468 |    0.02584 |              |             \n",
            "1h  2m 20s  |         87 |        488 |    0.02447 |              |             \n",
            "1h  2m 21s  |         87 |        507 |    0.02349 |              |             \n",
            "1h  2m 22s  |         87 |        527 |    0.02094 |              |             \n",
            "1h  2m 23s  |         87 |        546 |    0.02627 |              |             \n",
            "1h  2m 24s  |         87 |        566 |    0.02088 |              |             \n",
            "1h  2m 25s  |         87 |        585 |    0.02529 |              |             \n",
            "1h  2m 26s  |         87 |        599 |    0.02258 |              |             \n",
            "1h  2m 26s  |         88 |            |            |      0.02586 |      0.02862\n",
            "1h  2m 38s  |         88 |          0 |    0.02696 |              |             \n",
            "1h  2m 38s  |         88 |          5 |    0.03364 |              |             \n",
            "1h  2m 39s  |         88 |         25 |    0.02570 |              |             \n",
            "1h  2m 40s  |         88 |         45 |    0.02720 |              |             \n",
            "1h  2m 41s  |         88 |         64 |    0.02139 |              |             \n",
            "1h  2m 42s  |         88 |         84 |    0.02560 |              |             \n",
            "1h  2m 43s  |         88 |        104 |    0.02984 |              |             \n",
            "1h  2m 44s  |         88 |        123 |    0.02501 |              |             \n",
            "1h  2m 45s  |         88 |        143 |    0.02516 |              |             \n",
            "1h  2m 46s  |         88 |        162 |    0.02210 |              |             \n",
            "1h  2m 47s  |         88 |        182 |    0.02430 |              |             \n",
            "1h  2m 48s  |         88 |        201 |    0.02716 |              |             \n",
            "1h  2m 49s  |         88 |        221 |    0.02403 |              |             \n",
            "1h  2m 50s  |         88 |        241 |    0.02314 |              |             \n",
            "1h  2m 51s  |         88 |        260 |    0.02493 |              |             \n",
            "1h  2m 52s  |         88 |        280 |    0.02799 |              |             \n",
            "1h  2m 53s  |         88 |        300 |    0.02266 |              |             \n",
            "1h  2m 54s  |         88 |        319 |    0.02844 |              |             \n",
            "1h  2m 55s  |         88 |        339 |    0.02824 |              |             \n",
            "1h  2m 56s  |         88 |        358 |    0.02489 |              |             \n",
            "1h  2m 57s  |         88 |        378 |    0.02500 |              |             \n",
            "1h  2m 58s  |         88 |        398 |    0.02789 |              |             \n",
            "1h  2m 59s  |         88 |        417 |    0.02582 |              |             \n",
            "1h  3m  0s  |         88 |        437 |    0.02902 |              |             \n",
            "1h  3m  1s  |         88 |        457 |    0.02640 |              |             \n",
            "1h  3m  2s  |         88 |        476 |    0.02747 |              |             \n",
            "1h  3m  3s  |         88 |        496 |    0.02298 |              |             \n",
            "1h  3m  4s  |         88 |        516 |    0.02229 |              |             \n",
            "1h  3m  5s  |         88 |        535 |    0.02575 |              |             \n",
            "1h  3m  6s  |         88 |        555 |    0.02344 |              |             \n",
            "1h  3m  7s  |         88 |        575 |    0.02402 |              |             \n",
            "1h  3m  8s  |         88 |        594 |    0.03052 |              |             \n",
            "1h  3m  8s  |         88 |        599 |    0.02646 |              |             \n",
            "1h  3m  8s  |         89 |            |            |      0.02550 |      0.02832\n",
            "1h  3m 20s  |         89 |          0 |    0.02368 |              |             \n",
            "1h  3m 21s  |         89 |         11 |    0.02394 |              |             \n",
            "1h  3m 22s  |         89 |         31 |    0.02836 |              |             \n",
            "1h  3m 23s  |         89 |         50 |    0.02310 |              |             \n",
            "1h  3m 24s  |         89 |         70 |    0.02269 |              |             \n",
            "1h  3m 25s  |         89 |         90 |    0.02119 |              |             \n",
            "1h  3m 26s  |         89 |        109 |    0.02717 |              |             \n",
            "1h  3m 27s  |         89 |        129 |    0.02779 |              |             \n",
            "1h  3m 28s  |         89 |        148 |    0.02284 |              |             \n",
            "1h  3m 29s  |         89 |        168 |    0.02760 |              |             \n",
            "1h  3m 30s  |         89 |        188 |    0.02948 |              |             \n",
            "1h  3m 31s  |         89 |        207 |    0.02324 |              |             \n",
            "1h  3m 32s  |         89 |        227 |    0.02718 |              |             \n",
            "1h  3m 33s  |         89 |        247 |    0.02666 |              |             \n",
            "1h  3m 34s  |         89 |        266 |    0.02494 |              |             \n",
            "1h  3m 35s  |         89 |        286 |    0.02127 |              |             \n",
            "1h  3m 36s  |         89 |        305 |    0.02238 |              |             \n",
            "1h  3m 37s  |         89 |        325 |    0.02628 |              |             \n",
            "1h  3m 38s  |         89 |        345 |    0.02424 |              |             \n",
            "1h  3m 39s  |         89 |        364 |    0.02774 |              |             \n",
            "1h  3m 40s  |         89 |        384 |    0.02820 |              |             \n",
            "1h  3m 41s  |         89 |        404 |    0.02542 |              |             \n",
            "1h  3m 42s  |         89 |        423 |    0.02831 |              |             \n",
            "1h  3m 43s  |         89 |        443 |    0.02813 |              |             \n",
            "1h  3m 44s  |         89 |        462 |    0.02632 |              |             \n",
            "1h  3m 45s  |         89 |        482 |    0.02872 |              |             \n",
            "1h  3m 46s  |         89 |        501 |    0.03116 |              |             \n",
            "1h  3m 47s  |         89 |        521 |    0.02422 |              |             \n",
            "1h  3m 48s  |         89 |        540 |    0.02569 |              |             \n",
            "1h  3m 49s  |         89 |        560 |    0.02358 |              |             \n",
            "1h  3m 50s  |         89 |        580 |    0.02228 |              |             \n",
            "1h  3m 51s  |         89 |        599 |    0.02524 |              |             \n",
            "1h  3m 51s  |         89 |        599 |    0.02524 |              |             \n",
            "1h  3m 51s  |         90 |            |            |      0.02481 |      0.02763\n",
            "1h  4m  3s  |         90 |          0 |    0.01941 |              |             \n",
            "1h  4m  4s  |         90 |         16 |    0.02238 |              |             \n",
            "1h  4m  5s  |         90 |         35 |    0.02606 |              |             \n",
            "1h  4m  6s  |         90 |         55 |    0.02484 |              |             \n",
            "1h  4m  7s  |         90 |         75 |    0.02963 |              |             \n",
            "1h  4m  8s  |         90 |         94 |    0.02432 |              |             \n",
            "1h  4m  9s  |         90 |        114 |    0.02491 |              |             \n",
            "1h  4m 10s  |         90 |        133 |    0.02600 |              |             \n",
            "1h  4m 11s  |         90 |        153 |    0.02923 |              |             \n",
            "1h  4m 12s  |         90 |        172 |    0.02406 |              |             \n",
            "1h  4m 13s  |         90 |        192 |    0.02183 |              |             \n",
            "1h  4m 14s  |         90 |        211 |    0.02314 |              |             \n",
            "1h  4m 15s  |         90 |        231 |    0.02356 |              |             \n",
            "1h  4m 16s  |         90 |        251 |    0.02632 |              |             \n",
            "1h  4m 17s  |         90 |        271 |    0.02401 |              |             \n",
            "1h  4m 18s  |         90 |        290 |    0.02581 |              |             \n",
            "1h  4m 19s  |         90 |        310 |    0.02723 |              |             \n",
            "1h  4m 20s  |         90 |        329 |    0.02616 |              |             \n",
            "1h  4m 21s  |         90 |        349 |    0.02293 |              |             \n",
            "1h  4m 22s  |         90 |        369 |    0.02271 |              |             \n",
            "1h  4m 23s  |         90 |        388 |    0.02218 |              |             \n",
            "1h  4m 24s  |         90 |        408 |    0.01974 |              |             \n",
            "1h  4m 25s  |         90 |        428 |    0.02780 |              |             \n",
            "1h  4m 26s  |         90 |        447 |    0.02482 |              |             \n",
            "1h  4m 27s  |         90 |        467 |    0.03369 |              |             \n",
            "1h  4m 28s  |         90 |        487 |    0.02360 |              |             \n",
            "1h  4m 29s  |         90 |        506 |    0.02299 |              |             \n",
            "1h  4m 30s  |         90 |        526 |    0.02097 |              |             \n",
            "1h  4m 31s  |         90 |        546 |    0.02572 |              |             \n",
            "1h  4m 32s  |         90 |        565 |    0.02676 |              |             \n",
            "1h  4m 33s  |         90 |        585 |    0.02204 |              |             \n",
            "1h  4m 34s  |         90 |        599 |    0.03054 |              |             \n",
            "1h  4m 34s  |         91 |            |            |      0.02479 |      0.02761\n",
            "1h  4m 46s  |         91 |          0 |    0.02766 |              |             \n",
            "1h  4m 46s  |         91 |          4 |    0.02404 |              |             \n",
            "1h  4m 47s  |         91 |         24 |    0.02374 |              |             \n",
            "1h  4m 48s  |         91 |         44 |    0.02715 |              |             \n",
            "1h  4m 49s  |         91 |         63 |    0.02856 |              |             \n",
            "1h  4m 50s  |         91 |         83 |    0.02554 |              |             \n",
            "1h  4m 51s  |         91 |        103 |    0.02513 |              |             \n",
            "1h  4m 52s  |         91 |        122 |    0.02666 |              |             \n",
            "1h  4m 53s  |         91 |        142 |    0.02143 |              |             \n",
            "1h  4m 54s  |         91 |        162 |    0.02562 |              |             \n",
            "1h  4m 55s  |         91 |        181 |    0.02279 |              |             \n",
            "1h  4m 56s  |         91 |        201 |    0.02427 |              |             \n",
            "1h  4m 57s  |         91 |        220 |    0.02225 |              |             \n",
            "1h  4m 58s  |         91 |        240 |    0.02135 |              |             \n",
            "1h  4m 59s  |         91 |        260 |    0.02185 |              |             \n",
            "1h  5m  0s  |         91 |        279 |    0.02524 |              |             \n",
            "1h  5m  1s  |         91 |        299 |    0.02400 |              |             \n",
            "1h  5m  2s  |         91 |        319 |    0.02636 |              |             \n",
            "1h  5m  3s  |         91 |        338 |    0.02663 |              |             \n",
            "1h  5m  4s  |         91 |        358 |    0.02312 |              |             \n",
            "1h  5m  5s  |         91 |        377 |    0.02342 |              |             \n",
            "1h  5m  6s  |         91 |        397 |    0.02528 |              |             \n",
            "1h  5m  7s  |         91 |        417 |    0.02789 |              |             \n",
            "1h  5m  8s  |         91 |        436 |    0.02300 |              |             \n",
            "1h  5m  9s  |         91 |        456 |    0.02618 |              |             \n",
            "1h  5m 10s  |         91 |        475 |    0.03007 |              |             \n",
            "1h  5m 11s  |         91 |        495 |    0.02625 |              |             \n",
            "1h  5m 12s  |         91 |        515 |    0.02455 |              |             \n",
            "1h  5m 13s  |         91 |        534 |    0.02698 |              |             \n",
            "1h  5m 14s  |         91 |        554 |    0.02116 |              |             \n",
            "1h  5m 15s  |         91 |        574 |    0.01982 |              |             \n",
            "1h  5m 16s  |         91 |        593 |    0.02416 |              |             \n",
            "1h  5m 16s  |         91 |        599 |    0.02405 |              |             \n",
            "1h  5m 16s  |         92 |            |            |      0.02461 |      0.02758\n",
            "1h  5m 28s  |         92 |          0 |    0.02380 |              |             \n",
            "1h  5m 29s  |         92 |         13 |    0.02248 |              |             \n",
            "1h  5m 30s  |         92 |         33 |    0.02259 |              |             \n",
            "1h  5m 31s  |         92 |         52 |    0.02502 |              |             \n",
            "1h  5m 32s  |         92 |         72 |    0.02301 |              |             \n",
            "1h  5m 33s  |         92 |         91 |    0.02674 |              |             \n",
            "1h  5m 34s  |         92 |        111 |    0.02473 |              |             \n",
            "1h  5m 35s  |         92 |        131 |    0.02284 |              |             \n",
            "1h  5m 36s  |         92 |        150 |    0.02153 |              |             \n",
            "1h  5m 37s  |         92 |        170 |    0.02678 |              |             \n",
            "1h  5m 38s  |         92 |        190 |    0.02319 |              |             \n",
            "1h  5m 39s  |         92 |        209 |    0.02531 |              |             \n",
            "1h  5m 40s  |         92 |        229 |    0.02939 |              |             \n",
            "1h  5m 41s  |         92 |        248 |    0.02370 |              |             \n",
            "1h  5m 42s  |         92 |        268 |    0.02402 |              |             \n",
            "1h  5m 43s  |         92 |        288 |    0.02684 |              |             \n",
            "1h  5m 44s  |         92 |        307 |    0.02409 |              |             \n",
            "1h  5m 45s  |         92 |        327 |    0.02628 |              |             \n",
            "1h  5m 46s  |         92 |        346 |    0.02617 |              |             \n",
            "1h  5m 47s  |         92 |        366 |    0.02604 |              |             \n",
            "1h  5m 48s  |         92 |        386 |    0.02446 |              |             \n",
            "1h  5m 49s  |         92 |        405 |    0.02271 |              |             \n",
            "1h  5m 50s  |         92 |        425 |    0.02379 |              |             \n",
            "1h  5m 51s  |         92 |        444 |    0.02483 |              |             \n",
            "1h  5m 52s  |         92 |        464 |    0.02396 |              |             \n",
            "1h  5m 53s  |         92 |        484 |    0.02465 |              |             \n",
            "1h  5m 54s  |         92 |        503 |    0.02922 |              |             \n",
            "1h  5m 55s  |         92 |        523 |    0.02692 |              |             \n",
            "1h  5m 56s  |         92 |        542 |    0.02296 |              |             \n",
            "1h  5m 57s  |         92 |        562 |    0.02184 |              |             \n",
            "1h  5m 58s  |         92 |        581 |    0.02839 |              |             \n",
            "1h  5m 59s  |         92 |        599 |    0.02532 |              |             \n",
            "1h  5m 59s  |         93 |            |            |      0.02447 |      0.02731\n",
            "1h  6m 11s  |         93 |          0 |    0.02866 |              |             \n",
            "1h  6m 12s  |         93 |         17 |    0.02300 |              |             \n",
            "1h  6m 13s  |         93 |         37 |    0.02631 |              |             \n",
            "1h  6m 14s  |         93 |         57 |    0.02482 |              |             \n",
            "1h  6m 15s  |         93 |         76 |    0.02084 |              |             \n",
            "1h  6m 16s  |         93 |         96 |    0.02206 |              |             \n",
            "1h  6m 17s  |         93 |        116 |    0.02376 |              |             \n",
            "1h  6m 18s  |         93 |        135 |    0.02350 |              |             \n",
            "1h  6m 19s  |         93 |        155 |    0.02662 |              |             \n",
            "1h  6m 20s  |         93 |        174 |    0.02215 |              |             \n",
            "1h  6m 21s  |         93 |        194 |    0.02233 |              |             \n",
            "1h  6m 22s  |         93 |        213 |    0.02789 |              |             \n",
            "1h  6m 23s  |         93 |        233 |    0.02963 |              |             \n",
            "1h  6m 24s  |         93 |        253 |    0.02730 |              |             \n",
            "1h  6m 25s  |         93 |        272 |    0.02053 |              |             \n",
            "1h  6m 26s  |         93 |        292 |    0.02232 |              |             \n",
            "1h  6m 27s  |         93 |        312 |    0.02747 |              |             \n",
            "1h  6m 28s  |         93 |        331 |    0.02426 |              |             \n",
            "1h  6m 29s  |         93 |        351 |    0.02617 |              |             \n",
            "1h  6m 30s  |         93 |        371 |    0.02831 |              |             \n",
            "1h  6m 31s  |         93 |        390 |    0.02594 |              |             \n",
            "1h  6m 32s  |         93 |        410 |    0.02574 |              |             \n",
            "1h  6m 33s  |         93 |        429 |    0.02872 |              |             \n",
            "1h  6m 34s  |         93 |        449 |    0.02541 |              |             \n",
            "1h  6m 35s  |         93 |        469 |    0.02414 |              |             \n",
            "1h  6m 36s  |         93 |        488 |    0.02356 |              |             \n",
            "1h  6m 37s  |         93 |        508 |    0.02410 |              |             \n",
            "1h  6m 38s  |         93 |        528 |    0.02594 |              |             \n",
            "1h  6m 39s  |         93 |        547 |    0.02323 |              |             \n",
            "1h  6m 40s  |         93 |        567 |    0.02353 |              |             \n",
            "1h  6m 41s  |         93 |        587 |    0.02428 |              |             \n",
            "1h  6m 42s  |         93 |        599 |    0.02273 |              |             \n",
            "1h  6m 42s  |         94 |            |            |      0.02442 |      0.02723\n",
            "1h  6m 54s  |         94 |          0 |    0.02482 |              |             \n",
            "1h  6m 54s  |         94 |          3 |    0.02467 |              |             \n",
            "1h  6m 55s  |         94 |         23 |    0.02893 |              |             \n",
            "1h  6m 56s  |         94 |         42 |    0.02514 |              |             \n",
            "1h  6m 57s  |         94 |         62 |    0.02387 |              |             \n",
            "1h  6m 58s  |         94 |         81 |    0.02571 |              |             \n",
            "1h  6m 59s  |         94 |        101 |    0.02693 |              |             \n",
            "1h  7m  0s  |         94 |        120 |    0.02534 |              |             \n",
            "1h  7m  1s  |         94 |        140 |    0.02636 |              |             \n",
            "1h  7m  2s  |         94 |        160 |    0.02560 |              |             \n",
            "1h  7m  3s  |         94 |        179 |    0.02815 |              |             \n",
            "1h  7m  4s  |         94 |        199 |    0.02342 |              |             \n",
            "1h  7m  5s  |         94 |        219 |    0.02911 |              |             \n",
            "1h  7m  6s  |         94 |        238 |    0.02199 |              |             \n",
            "1h  7m  7s  |         94 |        258 |    0.02393 |              |             \n",
            "1h  7m  8s  |         94 |        277 |    0.02841 |              |             \n",
            "1h  7m  9s  |         94 |        297 |    0.02679 |              |             \n",
            "1h  7m 10s  |         94 |        317 |    0.02097 |              |             \n",
            "1h  7m 11s  |         94 |        336 |    0.02300 |              |             \n",
            "1h  7m 12s  |         94 |        356 |    0.02380 |              |             \n",
            "1h  7m 13s  |         94 |        376 |    0.02462 |              |             \n",
            "1h  7m 14s  |         94 |        395 |    0.02435 |              |             \n",
            "1h  7m 15s  |         94 |        415 |    0.02345 |              |             \n",
            "1h  7m 16s  |         94 |        435 |    0.02610 |              |             \n",
            "1h  7m 17s  |         94 |        454 |    0.02435 |              |             \n",
            "1h  7m 18s  |         94 |        474 |    0.02348 |              |             \n",
            "1h  7m 19s  |         94 |        493 |    0.02385 |              |             \n",
            "1h  7m 20s  |         94 |        513 |    0.02229 |              |             \n",
            "1h  7m 21s  |         94 |        533 |    0.02596 |              |             \n",
            "1h  7m 22s  |         94 |        552 |    0.03230 |              |             \n",
            "1h  7m 23s  |         94 |        572 |    0.02434 |              |             \n",
            "1h  7m 24s  |         94 |        591 |    0.02603 |              |             \n",
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            "1h  7m 24s  |         95 |            |            |      0.02418 |      0.02685\n",
            "1h  7m 36s  |         95 |          0 |    0.02243 |              |             \n",
            "1h  7m 37s  |         95 |         12 |    0.02920 |              |             \n",
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            "1h  8m  2s  |         95 |        503 |    0.02241 |              |             \n",
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            "1h  8m  4s  |         95 |        542 |    0.02010 |              |             \n",
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            "1h  8m  7s  |         95 |        599 |    0.02207 |              |             \n",
            "1h  8m  7s  |         96 |            |            |      0.02402 |      0.02684\n",
            "1h  8m 19s  |         96 |          0 |    0.02539 |              |             \n",
            "1h  8m 19s  |         96 |          1 |    0.02199 |              |             \n",
            "1h  8m 20s  |         96 |         21 |    0.02054 |              |             \n",
            "1h  8m 21s  |         96 |         40 |    0.02652 |              |             \n",
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            "1h  8m 25s  |         96 |        119 |    0.02816 |              |             \n",
            "1h  8m 26s  |         96 |        139 |    0.02888 |              |             \n",
            "1h  8m 27s  |         96 |        159 |    0.02449 |              |             \n",
            "1h  8m 28s  |         96 |        178 |    0.02827 |              |             \n",
            "1h  8m 29s  |         96 |        198 |    0.02450 |              |             \n",
            "1h  8m 30s  |         96 |        218 |    0.02415 |              |             \n",
            "1h  8m 31s  |         96 |        237 |    0.02272 |              |             \n",
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            "1h  8m 33s  |         96 |        276 |    0.02275 |              |             \n",
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            "1h  8m 48s  |         96 |        571 |    0.02384 |              |             \n",
            "1h  8m 49s  |         96 |        590 |    0.02250 |              |             \n",
            "1h  8m 49s  |         96 |        599 |    0.02568 |              |             \n",
            "1h  8m 49s  |         97 |            |            |      0.02389 |      0.02697\n",
            "1h  9m  2s  |         97 |          0 |    0.02207 |              |             \n",
            "1h  9m  2s  |         97 |          3 |    0.02374 |              |             \n",
            "1h  9m  3s  |         97 |         23 |    0.02591 |              |             \n",
            "1h  9m  4s  |         97 |         42 |    0.02160 |              |             \n",
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            "1h  9m  6s  |         97 |         81 |    0.02958 |              |             \n",
            "1h  9m  7s  |         97 |        101 |    0.02479 |              |             \n",
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            "1h  9m 10s  |         97 |        159 |    0.02533 |              |             \n",
            "1h  9m 11s  |         97 |        179 |    0.02775 |              |             \n",
            "1h  9m 12s  |         97 |        198 |    0.02163 |              |             \n",
            "1h  9m 13s  |         97 |        218 |    0.02300 |              |             \n",
            "1h  9m 14s  |         97 |        237 |    0.02613 |              |             \n",
            "1h  9m 15s  |         97 |        257 |    0.02759 |              |             \n",
            "1h  9m 16s  |         97 |        277 |    0.02131 |              |             \n",
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            "1h  9m 30s  |         97 |        550 |    0.02242 |              |             \n",
            "1h  9m 31s  |         97 |        569 |    0.02755 |              |             \n",
            "1h  9m 32s  |         97 |        589 |    0.02644 |              |             \n",
            "1h  9m 33s  |         97 |        599 |    0.02602 |              |             \n",
            "1h  9m 33s  |         98 |            |            |      0.02382 |      0.02683\n",
            "1h  9m 45s  |         98 |          0 |    0.02135 |              |             \n",
            "1h  9m 45s  |         98 |          4 |    0.02227 |              |             \n",
            "1h  9m 46s  |         98 |         23 |    0.02283 |              |             \n",
            "1h  9m 47s  |         98 |         43 |    0.02258 |              |             \n",
            "1h  9m 48s  |         98 |         62 |    0.02732 |              |             \n",
            "1h  9m 49s  |         98 |         82 |    0.02208 |              |             \n",
            "1h  9m 50s  |         98 |        101 |    0.03001 |              |             \n",
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            "1h  9m 56s  |         98 |        218 |    0.02080 |              |             \n",
            "1h  9m 57s  |         98 |        237 |    0.02611 |              |             \n",
            "1h  9m 58s  |         98 |        257 |    0.02570 |              |             \n",
            "1h  9m 59s  |         98 |        277 |    0.02100 |              |             \n",
            "1h 10m  0s  |         98 |        296 |    0.02347 |              |             \n",
            "1h 10m  1s  |         98 |        316 |    0.02069 |              |             \n",
            "1h 10m  2s  |         98 |        335 |    0.02209 |              |             \n",
            "1h 10m  3s  |         98 |        355 |    0.02523 |              |             \n",
            "1h 10m  4s  |         98 |        374 |    0.02303 |              |             \n",
            "1h 10m  5s  |         98 |        394 |    0.02215 |              |             \n",
            "1h 10m  6s  |         98 |        413 |    0.02450 |              |             \n",
            "1h 10m  7s  |         98 |        433 |    0.02583 |              |             \n",
            "1h 10m  8s  |         98 |        452 |    0.02695 |              |             \n",
            "1h 10m  9s  |         98 |        472 |    0.02726 |              |             \n",
            "1h 10m 10s  |         98 |        491 |    0.02436 |              |             \n",
            "1h 10m 11s  |         98 |        510 |    0.02585 |              |             \n",
            "1h 10m 12s  |         98 |        530 |    0.02127 |              |             \n",
            "1h 10m 13s  |         98 |        549 |    0.02323 |              |             \n",
            "1h 10m 14s  |         98 |        569 |    0.02449 |              |             \n",
            "1h 10m 15s  |         98 |        589 |    0.02739 |              |             \n",
            "1h 10m 16s  |         98 |        599 |    0.02352 |              |             \n",
            "1h 10m 16s  |         99 |            |            |      0.02378 |      0.02685\n",
            "1h 10m 28s  |         99 |          0 |    0.02513 |              |             \n",
            "1h 10m 28s  |         99 |          2 |    0.02424 |              |             \n",
            "1h 10m 29s  |         99 |         22 |    0.02863 |              |             \n",
            "1h 10m 30s  |         99 |         41 |    0.02170 |              |             \n",
            "1h 10m 31s  |         99 |         61 |    0.02407 |              |             \n",
            "1h 10m 32s  |         99 |         80 |    0.02429 |              |             \n",
            "1h 10m 33s  |         99 |        100 |    0.02156 |              |             \n",
            "1h 10m 34s  |         99 |        119 |    0.02552 |              |             \n",
            "1h 10m 35s  |         99 |        139 |    0.02818 |              |             \n",
            "1h 10m 36s  |         99 |        158 |    0.02449 |              |             \n",
            "1h 10m 37s  |         99 |        178 |    0.02560 |              |             \n",
            "1h 10m 38s  |         99 |        197 |    0.02140 |              |             \n",
            "1h 10m 39s  |         99 |        217 |    0.02601 |              |             \n",
            "1h 10m 40s  |         99 |        236 |    0.02252 |              |             \n",
            "1h 10m 41s  |         99 |        256 |    0.02167 |              |             \n",
            "1h 10m 42s  |         99 |        276 |    0.02584 |              |             \n",
            "1h 10m 43s  |         99 |        295 |    0.02742 |              |             \n",
            "1h 10m 44s  |         99 |        314 |    0.02542 |              |             \n",
            "1h 10m 45s  |         99 |        334 |    0.02442 |              |             \n",
            "1h 10m 46s  |         99 |        353 |    0.02234 |              |             \n",
            "1h 10m 47s  |         99 |        373 |    0.02563 |              |             \n",
            "1h 10m 48s  |         99 |        393 |    0.02834 |              |             \n",
            "1h 10m 49s  |         99 |        412 |    0.02415 |              |             \n",
            "1h 10m 50s  |         99 |        432 |    0.02220 |              |             \n",
            "1h 10m 51s  |         99 |        451 |    0.02358 |              |             \n",
            "1h 10m 52s  |         99 |        471 |    0.02011 |              |             \n",
            "1h 10m 53s  |         99 |        490 |    0.02153 |              |             \n",
            "1h 10m 54s  |         99 |        510 |    0.02195 |              |             \n",
            "1h 10m 55s  |         99 |        529 |    0.02517 |              |             \n",
            "1h 10m 56s  |         99 |        549 |    0.01987 |              |             \n",
            "1h 10m 57s  |         99 |        568 |    0.02495 |              |             \n",
            "1h 10m 58s  |         99 |        588 |    0.02158 |              |             \n",
            "1h 10m 59s  |         99 |        599 |    0.02409 |              |             \n",
            "1h 10m 59s  |        100 |            |            |      0.02367 |      0.02669\n",
            "Saving in \"results/train/CNN_ImToParts/cmd.txt\"\n",
            "Saving in \"results/train/CNN_ImToParts/args.json\"\n",
            "Saving in \"results/train/CNN_ImToParts/metrics.json\"\n",
            "Saving in \"results/train/CNN_ImToParts/metrics.png\"\n",
            "Saving in \"results/train/CNN_ImToParts/model.pth\"\n",
            "Saving in \"results/train/CNN_ImToParts/table.pkl\"\n",
            "--model_name CNN_ImToParts\n",
            "Final metrics = 0.02367 (train), 0.02669 (test)\n",
            "Time taken for `train` = 1 hours 18 minutes 17 seconds\n"
          ]
        }
      ],
      "source": [
        "# CNN, ImToParts\n",
        "!syndacate train \\\n",
        "  --dataset ImToParts \\\n",
        "  --model RzCnn \\\n",
        "  --model.RzCnn.embedder CoordConv \\\n",
        "  --model.RzCnn.pooler LinearSet2d \\\n",
        "  --trainer.BpSp.epochs 100 \\\n",
        "  --devices 0 \\\n",
        "  --model_name CNN_ImToParts"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 763
        },
        "id": "YEVxfyDzzdZH",
        "outputId": "20e81a51-84e8-41a5-ddbb-d0ef7d88d686"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Loading from \"results/train/CNN_ImToParts/args.json\"\n",
            "cli: ImToParts()\n",
            "Loading from \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\"\n",
            "cli: CoordConv()\n",
            "cli: LinearSet2d()\n",
            "cli: RzCnn(blocks_per_stage=2, embedder=CoordConv(num_params=0), expand_ratio=2.0, input_shape=[70000, 1, 100, 100], kernel_size=5, model_dim=64, num_stages=3, output_shape=[70000, 9, 6], pooler=LinearSet2d(num_params=0), stride=2)\n",
            "Loading from \"results/train/CNN_ImToParts/model.pth\"\n",
            "Saving in \"results/train/CNN_ImToParts/part_predictions.png\"\n",
            "Time taken for `plotpartpredictions` = 6.9447 seconds\n"
          ]
        },
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "!syndacate plotpartpredictions --model_name CNN_ImToParts\n",
        "from jutility import plotting\n",
        "plotting.show_ipython(\"results/train/CNN_ImToParts/part_predictions.png\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C7HYXw_n_42R",
        "outputId": "d99706cf-0cf1-4b13-ae92-e6520c46fdef"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cli: PreTrainedPartsToClass()\n",
            "Loading from \"./data/PreTrainedPartsToClass.npz\"\n",
            "Could not find \"./data/PreTrainedPartsToClass.npz\", generating now...\n",
            "Loading from \"/content/syndacate-public/results/train/dIP_lCH_mRZCb2eCk5m64n3pLs2x2.0_tBb100e100lCle1E-05oAol0.001_s3/model.pth\"\n",
            "Loading from \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\"\n",
            "600/600 | 100.0 % | t+  11m 13.61s | t-     0.0000s | ETA 2025-05-28 09:53:23 | *************************\n",
            "100/100 | 100.0 % | t+    54.0144s | t-     0.0000s | ETA 2025-05-28 09:54:18 | *************************\n",
            "cli: CoordConv()\n",
            "cli: Average2d()\n",
            "cli: RzCnn(blocks_per_stage=3, embedder=CoordConv(num_params=0), expand_ratio=2.0, input_shape=[64, 9, 9], kernel_size=5, model_dim=64, num_stages=1, output_shape=[10], pooler=Average2d(num_params=0), stride=1)\n",
            "cli: CrossEntropy()\n",
            "cli: Adam(lr=0.001, params=<generator object Module.parameters at 0x7dad2faa1540>)\n",
            "Time        | Step       | Epoch      | Batch      | Batch loss | Train metric | Test metric \n",
            "----------- | ---------- | ---------- | ---------- | ---------- | ------------ | ------------\n",
            "0.0068s     |          0 |          0 |            |            |      0.08333 |      0.09600\n",
            "1.8773s     |          0 |          0 |          0 |    2.66984 |              |             \n",
            "2.0095s     |         12 |          4 |          0 |    1.35880 |              |             \n",
            "3.0037s     |        147 |         49 |          0 |    0.05581 |              |             \n",
            "4.0016s     |        293 |         97 |          2 |    0.00095 |              |             \n",
            "5.0064s     |        439 |        146 |          1 |    0.00033 |              |             \n",
            "6.0053s     |        582 |        194 |          0 |    0.00027 |              |             \n",
            "7.0052s     |        725 |        241 |          2 |    0.00015 |              |             \n",
            "8.0004s     |        868 |        289 |          1 |    0.00008 |              |             \n",
            "9.0076s     |       1003 |        334 |          1 |    0.00005 |              |             \n",
            "10.0057s    |       1132 |        377 |          1 |    0.00002 |              |             \n",
            "11.0001s    |       1255 |        418 |          1 |    0.00003 |              |             \n",
            "12.0040s    |       1396 |        465 |          1 |    0.00002 |              |             \n",
            "13.0056s    |       1540 |        513 |          1 |    0.00001 |              |             \n",
            "14.0044s    |       1685 |        561 |          2 |    0.00001 |              |             \n",
            "15.0029s    |       1828 |        609 |          1 |    0.00002 |              |             \n",
            "16.0067s    |       1972 |        657 |          1 |    0.00001 |              |             \n",
            "17.0058s    |       2114 |        704 |          2 |    0.00001 |              |             \n",
            "18.0037s    |       2258 |        752 |          2 |    0.00001 |              |             \n",
            "19.0051s    |       2402 |        800 |          2 |    0.00001 |              |             \n",
            "20.0009s    |       2545 |        848 |          1 |    0.00001 |              |             \n",
            "21.0020s    |       2682 |        894 |          0 |    0.00001 |              |             \n",
            "22.0049s    |       2809 |        936 |          1 |    0.00000 |              |             \n",
            "23.0024s    |       2934 |        978 |          0 |    0.00000 |              |             \n",
            "24.0044s    |       3078 |       1026 |          0 |    0.00000 |              |             \n",
            "25.0036s    |       3221 |       1073 |          2 |    0.00001 |              |             \n",
            "26.0059s    |       3365 |       1121 |          2 |    0.00000 |              |             \n",
            "27.0015s    |       3509 |       1169 |          2 |    0.00001 |              |             \n",
            "28.0055s    |       3656 |       1218 |          2 |    0.00000 |              |             \n",
            "29.0055s    |       3801 |       1267 |          0 |    0.00000 |              |             \n",
            "30.0038s    |       3946 |       1315 |          1 |    0.00000 |              |             \n",
            "31.0039s    |       4089 |       1363 |          0 |    0.00000 |              |             \n",
            "32.0057s    |       4234 |       1411 |          1 |    0.00000 |              |             \n",
            "33.0039s    |       4373 |       1457 |          2 |    0.00000 |              |             \n",
            "34.0007s    |       4501 |       1500 |          1 |    0.00000 |              |             \n",
            "35.0053s    |       4623 |       1541 |          0 |    0.00000 |              |             \n",
            "36.0048s    |       4765 |       1588 |          1 |    0.00000 |              |             \n",
            "37.0051s    |       4908 |       1636 |          0 |    0.00000 |              |             \n",
            "37.6287s    |       5000 |       1666 |            |            |      1.00000 |      0.75200\n",
            "Saving in \"results/train/dPTPCL_lC_mRZCb3eCk5m64n1pAs1x2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/cmd.txt\"\n",
            "Saving in \"results/train/dPTPCL_lC_mRZCb3eCk5m64n1pAs1x2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/args.json\"\n",
            "Saving in \"results/train/dPTPCL_lC_mRZCb3eCk5m64n1pAs1x2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.json\"\n",
            "Saving in \"results/train/dPTPCL_lC_mRZCb3eCk5m64n1pAs1x2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.png\"\n",
            "--model_name dPTPCL_lC_mRZCb3eCk5m64n1pAs1x2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0\n",
            "Final metrics = 1.00000 (train), 0.75200 (test)\n",
            "Time taken for `train` = 14 minutes 22.98 seconds\n"
          ]
        }
      ],
      "source": [
        "# CNN, PreTrainedPartsToClass\n",
        "!syndacate train \\\n",
        "  --dataset PreTrainedPartsToClass \\\n",
        "  --model RzCnn \\\n",
        "  --model.RzCnn.embedder CoordConv \\\n",
        "  --model.RzCnn.pooler Average2d \\\n",
        "  --model.RzCnn.num_stages 1 \\\n",
        "  --model.RzCnn.blocks_per_stage 3 \\\n",
        "  --model.RzCnn.stride 1 \\\n",
        "  --trainer BpSpDe \\\n",
        "  --trainer.BpSpDe.n_train 300 \\\n",
        "  --trainer.BpSpDe.steps 5000 \\\n",
        "  --devices 0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tyAoxfq6tNsX",
        "outputId": "eb435d43-722a-4085-d735-0e468f8c24de"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cli: PreTrainedPartsToClass()\n",
            "Loading from \"./data/PreTrainedPartsToClass.npz\"\n",
            "cli: CapsNet(input_shape=[64, 9, 9], output_shape=[10], routing_iterations=3)\n",
            "cli: CrossEntropy()\n",
            "cli: Adam(lr=0.001, params=<generator object Module.parameters at 0x7ec074ed0e40>)\n",
            "Time        | Step       | Epoch      | Batch      | Batch loss | Train metric | Test metric \n",
            "----------- | ---------- | ---------- | ---------- | ---------- | ------------ | ------------\n",
            "0.0114s     |          0 |          0 |            |            |      0.09333 |      0.10040\n",
            "3.8896s     |          0 |          0 |          0 |    2.30337 |              |             \n",
            "4.0801s     |          2 |          0 |          2 |    2.31708 |              |             \n",
            "5.0958s     |         12 |          4 |          0 |    2.26807 |              |             \n",
            "6.0070s     |         21 |          7 |          0 |    2.13494 |              |             \n",
            "7.0213s     |         31 |         10 |          1 |    2.04785 |              |             \n",
            "8.0335s     |         41 |         13 |          2 |    1.97126 |              |             \n",
            "9.0338s     |         51 |         17 |          0 |    1.87178 |              |             \n",
            "10.0420s    |         61 |         20 |          1 |    1.82352 |              |             \n",
            "11.0546s    |         71 |         23 |          2 |    1.77392 |              |             \n",
            "12.0674s    |         81 |         27 |          0 |    1.71997 |              |             \n",
            "13.0806s    |         91 |         30 |          1 |    1.69741 |              |             \n",
            "14.0961s    |        101 |         33 |          2 |    1.67544 |              |             \n",
            "15.0082s    |        110 |         36 |          2 |    1.63254 |              |             \n",
            "16.0212s    |        120 |         40 |          0 |    1.62853 |              |             \n",
            "17.0354s    |        130 |         43 |          1 |    1.60304 |              |             \n",
            "18.0477s    |        140 |         46 |          2 |    1.60727 |              |             \n",
            "19.0633s    |        150 |         50 |          0 |    1.58360 |              |             \n",
            "20.0808s    |        160 |         53 |          1 |    1.58175 |              |             \n",
            "21.0969s    |        170 |         56 |          2 |    1.56463 |              |             \n",
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            "26.0611s    |        219 |         73 |          0 |    1.51263 |              |             \n",
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            "1m  0.10s   |        548 |        182 |          2 |    1.47206 |              |             \n",
            "1m  1.06s   |        557 |        185 |          2 |    1.47757 |              |             \n",
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            "2m 38.06s   |       1455 |        485 |          0 |    1.46571 |              |             \n",
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            "2m 40.01s   |       1473 |        491 |          0 |    1.46393 |              |             \n",
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            "2m 44.01s   |       1510 |        503 |          1 |    1.46287 |              |             \n",
            "2m 45.10s   |       1520 |        506 |          2 |    1.46275 |              |             \n",
            "2m 46.08s   |       1529 |        509 |          2 |    1.46260 |              |             \n",
            "2m 47.05s   |       1538 |        512 |          2 |    1.46261 |              |             \n",
            "2m 48.03s   |       1547 |        515 |          2 |    1.46248 |              |             \n",
            "2m 49.01s   |       1556 |        518 |          2 |    1.46254 |              |             \n",
            "2m 50.09s   |       1566 |        522 |          0 |    1.46245 |              |             \n",
            "2m 51.08s   |       1575 |        525 |          0 |    1.46239 |              |             \n",
            "2m 52.06s   |       1584 |        528 |          0 |    1.46228 |              |             \n",
            "2m 53.04s   |       1593 |        531 |          0 |    1.46238 |              |             \n",
            "2m 54.02s   |       1602 |        534 |          0 |    1.46231 |              |             \n",
            "2m 55.11s   |       1612 |        537 |          1 |    1.46238 |              |             \n",
            "2m 56.09s   |       1621 |        540 |          1 |    1.46235 |              |             \n",
            "2m 57.07s   |       1630 |        543 |          1 |    1.46224 |              |             \n",
            "2m 58.05s   |       1639 |        546 |          1 |    1.46228 |              |             \n",
            "2m 59.02s   |       1648 |        549 |          1 |    1.46219 |              |             \n",
            "3m  0.00s   |       1657 |        552 |          1 |    1.46221 |              |             \n",
            "3m  1.09s   |       1667 |        555 |          2 |    1.46222 |              |             \n",
            "3m  2.07s   |       1676 |        558 |          2 |    1.46222 |              |             \n",
            "3m  3.05s   |       1685 |        561 |          2 |    1.46225 |              |             \n",
            "3m  4.03s   |       1694 |        564 |          2 |    1.46223 |              |             \n",
            "3m  5.01s   |       1703 |        567 |          2 |    1.46212 |              |             \n",
            "3m  6.09s   |       1713 |        571 |          0 |    1.46226 |              |             \n",
            "3m  7.07s   |       1722 |        574 |          0 |    1.46229 |              |             \n",
            "3m  8.04s   |       1731 |        577 |          0 |    1.46232 |              |             \n",
            "3m  9.01s   |       1740 |        580 |          0 |    1.46226 |              |             \n",
            "3m 10.09s   |       1750 |        583 |          1 |    1.46227 |              |             \n",
            "3m 11.06s   |       1759 |        586 |          1 |    1.46228 |              |             \n",
            "3m 12.04s   |       1768 |        589 |          1 |    1.46231 |              |             \n",
            "3m 13.01s   |       1777 |        592 |          1 |    1.46297 |              |             \n",
            "3m 14.09s   |       1787 |        595 |          2 |    1.46363 |              |             \n",
            "3m 15.07s   |       1796 |        598 |          2 |    1.46643 |              |             \n",
            "3m 16.04s   |       1805 |        601 |          2 |    1.46884 |              |             \n",
            "3m 17.02s   |       1814 |        604 |          2 |    1.46758 |              |             \n",
            "3m 18.10s   |       1824 |        608 |          0 |    1.46681 |              |             \n",
            "3m 19.07s   |       1833 |        611 |          0 |    1.46636 |              |             \n",
            "3m 20.04s   |       1842 |        614 |          0 |    1.46548 |              |             \n",
            "3m 21.02s   |       1851 |        617 |          0 |    1.46540 |              |             \n",
            "3m 22.10s   |       1861 |        620 |          1 |    1.46499 |              |             \n",
            "3m 23.07s   |       1870 |        623 |          1 |    1.46483 |              |             \n",
            "3m 24.04s   |       1879 |        626 |          1 |    1.46356 |              |             \n",
            "3m 25.01s   |       1888 |        629 |          1 |    1.46298 |              |             \n",
            "3m 26.09s   |       1898 |        632 |          2 |    1.46282 |              |             \n",
            "3m 27.07s   |       1907 |        635 |          2 |    1.46251 |              |             \n",
            "3m 28.04s   |       1916 |        638 |          2 |    1.46247 |              |             \n",
            "3m 29.01s   |       1925 |        641 |          2 |    1.46245 |              |             \n",
            "3m 30.09s   |       1935 |        645 |          0 |    1.46231 |              |             \n",
            "3m 31.06s   |       1944 |        648 |          0 |    1.46240 |              |             \n",
            "3m 32.03s   |       1953 |        651 |          0 |    1.46245 |              |             \n",
            "3m 33.00s   |       1962 |        654 |          0 |    1.46240 |              |             \n",
            "3m 34.09s   |       1972 |        657 |          1 |    1.46253 |              |             \n",
            "3m 35.06s   |       1981 |        660 |          1 |    1.46234 |              |             \n",
            "3m 36.03s   |       1990 |        663 |          1 |    1.46227 |              |             \n",
            "3m 37.00s   |       1999 |        666 |          1 |    1.46208 |              |             \n",
            "3m 38.08s   |       2009 |        669 |          2 |    1.46210 |              |             \n",
            "3m 39.05s   |       2018 |        672 |          2 |    1.46211 |              |             \n",
            "3m 40.03s   |       2027 |        675 |          2 |    1.46211 |              |             \n",
            "3m 41.11s   |       2037 |        679 |          0 |    1.46203 |              |             \n",
            "3m 42.08s   |       2046 |        682 |          0 |    1.46207 |              |             \n",
            "3m 43.05s   |       2055 |        685 |          0 |    1.46202 |              |             \n",
            "3m 44.02s   |       2064 |        688 |          0 |    1.46209 |              |             \n",
            "3m 45.10s   |       2074 |        691 |          1 |    1.46197 |              |             \n",
            "3m 46.07s   |       2083 |        694 |          1 |    1.46203 |              |             \n",
            "3m 47.04s   |       2092 |        697 |          1 |    1.46203 |              |             \n",
            "3m 48.01s   |       2101 |        700 |          1 |    1.46198 |              |             \n",
            "3m 49.09s   |       2111 |        703 |          2 |    1.46194 |              |             \n",
            "3m 50.06s   |       2120 |        706 |          2 |    1.46198 |              |             \n",
            "3m 51.03s   |       2129 |        709 |          2 |    1.46204 |              |             \n",
            "3m 52.01s   |       2138 |        712 |          2 |    1.46194 |              |             \n",
            "3m 53.08s   |       2148 |        716 |          0 |    1.46201 |              |             \n",
            "3m 54.06s   |       2157 |        719 |          0 |    1.46194 |              |             \n",
            "3m 55.03s   |       2166 |        722 |          0 |    1.46198 |              |             \n",
            "3m 56.11s   |       2176 |        725 |          1 |    1.46197 |              |             \n",
            "3m 57.08s   |       2185 |        728 |          1 |    1.46190 |              |             \n",
            "3m 58.05s   |       2194 |        731 |          1 |    1.46193 |              |             \n",
            "3m 59.02s   |       2203 |        734 |          1 |    1.46190 |              |             \n",
            "4m  0.10s   |       2213 |        737 |          2 |    1.46188 |              |             \n",
            "4m  1.08s   |       2222 |        740 |          2 |    1.46193 |              |             \n",
            "4m  2.05s   |       2231 |        743 |          2 |    1.46191 |              |             \n",
            "4m  3.02s   |       2240 |        746 |          2 |    1.46195 |              |             \n",
            "4m  4.10s   |       2250 |        750 |          0 |    1.46190 |              |             \n",
            "4m  5.07s   |       2259 |        753 |          0 |    1.46194 |              |             \n",
            "4m  6.04s   |       2268 |        756 |          0 |    1.46664 |              |             \n",
            "4m  7.02s   |       2277 |        759 |          0 |    1.46532 |              |             \n",
            "4m  8.10s   |       2287 |        762 |          1 |    1.46509 |              |             \n",
            "4m  9.07s   |       2296 |        765 |          1 |    1.46307 |              |             \n",
            "4m 10.04s   |       2305 |        768 |          1 |    1.46268 |              |             \n",
            "4m 11.01s   |       2314 |        771 |          1 |    1.46260 |              |             \n",
            "4m 12.09s   |       2324 |        774 |          2 |    1.46235 |              |             \n",
            "4m 13.06s   |       2333 |        777 |          2 |    1.46250 |              |             \n",
            "4m 14.03s   |       2342 |        780 |          2 |    1.46224 |              |             \n",
            "4m 15.00s   |       2351 |        783 |          2 |    1.46203 |              |             \n",
            "4m 16.08s   |       2361 |        787 |          0 |    1.46202 |              |             \n",
            "4m 17.05s   |       2370 |        790 |          0 |    1.46188 |              |             \n",
            "4m 18.02s   |       2379 |        793 |          0 |    1.46194 |              |             \n",
            "4m 19.00s   |       2388 |        796 |          0 |    1.46204 |              |             \n",
            "4m 20.08s   |       2398 |        799 |          1 |    1.46190 |              |             \n",
            "4m 21.05s   |       2407 |        802 |          1 |    1.46190 |              |             \n",
            "4m 22.02s   |       2416 |        805 |          1 |    1.46205 |              |             \n",
            "4m 23.10s   |       2426 |        808 |          2 |    1.46202 |              |             \n",
            "4m 24.07s   |       2435 |        811 |          2 |    1.46210 |              |             \n",
            "4m 25.04s   |       2444 |        814 |          2 |    1.46194 |              |             \n",
            "4m 26.02s   |       2453 |        817 |          2 |    1.46183 |              |             \n",
            "4m 27.10s   |       2463 |        821 |          0 |    1.46188 |              |             \n",
            "4m 28.07s   |       2472 |        824 |          0 |    1.46184 |              |             \n",
            "4m 29.05s   |       2481 |        827 |          0 |    1.46182 |              |             \n",
            "4m 30.02s   |       2490 |        830 |          0 |    1.46184 |              |             \n",
            "4m 31.10s   |       2500 |        833 |          1 |    1.46183 |              |             \n",
            "4m 32.07s   |       2509 |        836 |          1 |    1.46190 |              |             \n",
            "4m 33.05s   |       2518 |        839 |          1 |    1.46187 |              |             \n",
            "4m 34.02s   |       2527 |        842 |          1 |    1.46185 |              |             \n",
            "4m 35.10s   |       2537 |        845 |          2 |    1.46200 |              |             \n",
            "4m 36.08s   |       2546 |        848 |          2 |    1.46176 |              |             \n",
            "4m 37.05s   |       2555 |        851 |          2 |    1.46185 |              |             \n",
            "4m 38.02s   |       2564 |        854 |          2 |    1.46185 |              |             \n",
            "4m 39.00s   |       2573 |        857 |          2 |    1.46179 |              |             \n",
            "4m 40.08s   |       2583 |        861 |          0 |    1.46186 |              |             \n",
            "4m 41.06s   |       2592 |        864 |          0 |    1.46183 |              |             \n",
            "4m 42.04s   |       2601 |        867 |          0 |    1.46182 |              |             \n",
            "4m 43.01s   |       2610 |        870 |          0 |    1.46188 |              |             \n",
            "4m 44.09s   |       2620 |        873 |          1 |    1.46180 |              |             \n",
            "4m 45.07s   |       2629 |        876 |          1 |    1.46178 |              |             \n",
            "4m 46.04s   |       2638 |        879 |          1 |    1.46190 |              |             \n",
            "4m 47.02s   |       2647 |        882 |          1 |    1.46181 |              |             \n",
            "4m 48.10s   |       2657 |        885 |          2 |    1.46186 |              |             \n",
            "4m 49.07s   |       2666 |        888 |          2 |    1.46178 |              |             \n",
            "4m 50.05s   |       2675 |        891 |          2 |    1.46179 |              |             \n",
            "4m 51.02s   |       2684 |        894 |          2 |    1.46179 |              |             \n",
            "4m 52.11s   |       2694 |        898 |          0 |    1.46173 |              |             \n",
            "4m 53.09s   |       2703 |        901 |          0 |    1.46181 |              |             \n",
            "4m 54.06s   |       2712 |        904 |          0 |    1.46171 |              |             \n",
            "4m 55.04s   |       2721 |        907 |          0 |    1.46182 |              |             \n",
            "4m 56.02s   |       2730 |        910 |          0 |    1.46175 |              |             \n",
            "4m 57.10s   |       2740 |        913 |          1 |    1.46177 |              |             \n",
            "4m 58.07s   |       2749 |        916 |          1 |    1.46185 |              |             \n",
            "4m 59.05s   |       2758 |        919 |          1 |    1.46172 |              |             \n",
            "5m  0.02s   |       2767 |        922 |          1 |    1.46173 |              |             \n",
            "5m  1.11s   |       2777 |        925 |          2 |    1.46171 |              |             \n",
            "5m  2.08s   |       2786 |        928 |          2 |    1.46182 |              |             \n",
            "5m  3.06s   |       2795 |        931 |          2 |    1.46175 |              |             \n",
            "5m  4.04s   |       2804 |        934 |          2 |    1.46179 |              |             \n",
            "5m  5.02s   |       2813 |        937 |          2 |    1.46177 |              |             \n",
            "5m  6.10s   |       2823 |        941 |          0 |    1.46176 |              |             \n",
            "5m  7.08s   |       2832 |        944 |          0 |    1.46179 |              |             \n",
            "5m  8.05s   |       2841 |        947 |          0 |    1.46195 |              |             \n",
            "5m  9.03s   |       2850 |        950 |          0 |    1.46255 |              |             \n",
            "5m 10.11s   |       2860 |        953 |          1 |    1.46235 |              |             \n",
            "5m 11.08s   |       2869 |        956 |          1 |    1.46223 |              |             \n",
            "5m 12.06s   |       2878 |        959 |          1 |    1.46218 |              |             \n",
            "5m 13.03s   |       2887 |        962 |          1 |    1.46199 |              |             \n",
            "5m 14.01s   |       2896 |        965 |          1 |    1.46188 |              |             \n",
            "5m 15.10s   |       2906 |        968 |          2 |    1.46191 |              |             \n",
            "5m 16.08s   |       2915 |        971 |          2 |    1.46180 |              |             \n",
            "5m 17.05s   |       2924 |        974 |          2 |    1.46183 |              |             \n",
            "5m 18.03s   |       2933 |        977 |          2 |    1.46176 |              |             \n",
            "5m 19.00s   |       2942 |        980 |          2 |    1.46178 |              |             \n",
            "5m 20.08s   |       2952 |        984 |          0 |    1.46180 |              |             \n",
            "5m 21.05s   |       2961 |        987 |          0 |    1.46181 |              |             \n",
            "5m 22.03s   |       2970 |        990 |          0 |    1.46179 |              |             \n",
            "5m 23.00s   |       2979 |        993 |          0 |    1.46178 |              |             \n",
            "5m 24.08s   |       2989 |        996 |          1 |    1.46175 |              |             \n",
            "5m 25.05s   |       2998 |        999 |          1 |    1.46172 |              |             \n",
            "5m 26.03s   |       3007 |       1002 |          1 |    1.46178 |              |             \n",
            "5m 27.00s   |       3016 |       1005 |          1 |    1.46174 |              |             \n",
            "5m 28.09s   |       3026 |       1008 |          2 |    1.46175 |              |             \n",
            "5m 29.06s   |       3035 |       1011 |          2 |    1.46178 |              |             \n",
            "5m 30.03s   |       3044 |       1014 |          2 |    1.46172 |              |             \n",
            "5m 31.01s   |       3053 |       1017 |          2 |    1.46170 |              |             \n",
            "5m 32.09s   |       3063 |       1021 |          0 |    1.46174 |              |             \n",
            "5m 33.06s   |       3072 |       1024 |          0 |    1.46171 |              |             \n",
            "5m 34.04s   |       3081 |       1027 |          0 |    1.46171 |              |             \n",
            "5m 35.01s   |       3090 |       1030 |          0 |    1.46176 |              |             \n",
            "5m 36.09s   |       3100 |       1033 |          1 |    1.46167 |              |             \n",
            "5m 37.06s   |       3109 |       1036 |          1 |    1.46175 |              |             \n",
            "5m 38.03s   |       3118 |       1039 |          1 |    1.46175 |              |             \n",
            "5m 39.01s   |       3127 |       1042 |          1 |    1.46177 |              |             \n",
            "5m 40.09s   |       3137 |       1045 |          2 |    1.46168 |              |             \n",
            "5m 41.07s   |       3146 |       1048 |          2 |    1.46168 |              |             \n",
            "5m 42.04s   |       3155 |       1051 |          2 |    1.46168 |              |             \n",
            "5m 43.02s   |       3164 |       1054 |          2 |    1.46177 |              |             \n",
            "5m 44.00s   |       3173 |       1057 |          2 |    1.46168 |              |             \n",
            "5m 45.09s   |       3183 |       1061 |          0 |    1.46169 |              |             \n",
            "5m 46.06s   |       3192 |       1064 |          0 |    1.46166 |              |             \n",
            "5m 47.04s   |       3201 |       1067 |          0 |    1.46168 |              |             \n",
            "5m 48.01s   |       3210 |       1070 |          0 |    1.46167 |              |             \n",
            "5m 49.09s   |       3220 |       1073 |          1 |    1.46168 |              |             \n",
            "5m 50.07s   |       3229 |       1076 |          1 |    1.46166 |              |             \n",
            "5m 51.04s   |       3238 |       1079 |          1 |    1.46166 |              |             \n",
            "5m 52.03s   |       3247 |       1082 |          1 |    1.46173 |              |             \n",
            "5m 53.00s   |       3256 |       1085 |          1 |    1.46167 |              |             \n",
            "5m 54.08s   |       3266 |       1088 |          2 |    1.46165 |              |             \n",
            "5m 55.06s   |       3275 |       1091 |          2 |    1.46167 |              |             \n",
            "5m 56.04s   |       3284 |       1094 |          2 |    1.46168 |              |             \n",
            "5m 57.01s   |       3293 |       1097 |          2 |    1.46167 |              |             \n",
            "5m 58.09s   |       3303 |       1101 |          0 |    1.46167 |              |             \n",
            "5m 59.07s   |       3312 |       1104 |          0 |    1.46164 |              |             \n",
            "6m  0.05s   |       3321 |       1107 |          0 |    1.46164 |              |             \n",
            "6m  1.02s   |       3330 |       1110 |          0 |    1.46161 |              |             \n",
            "6m  2.10s   |       3340 |       1113 |          1 |    1.46166 |              |             \n",
            "6m  3.08s   |       3349 |       1116 |          1 |    1.46166 |              |             \n",
            "6m  4.06s   |       3358 |       1119 |          1 |    1.46165 |              |             \n",
            "6m  5.03s   |       3367 |       1122 |          1 |    1.46167 |              |             \n",
            "6m  6.01s   |       3376 |       1125 |          1 |    1.46167 |              |             \n",
            "6m  7.09s   |       3386 |       1128 |          2 |    1.46164 |              |             \n",
            "6m  8.06s   |       3395 |       1131 |          2 |    1.46167 |              |             \n",
            "6m  9.04s   |       3404 |       1134 |          2 |    1.46164 |              |             \n",
            "6m 10.01s   |       3413 |       1137 |          2 |    1.46165 |              |             \n",
            "6m 11.09s   |       3423 |       1141 |          0 |    1.46165 |              |             \n",
            "6m 12.07s   |       3432 |       1144 |          0 |    1.46163 |              |             \n",
            "6m 13.04s   |       3441 |       1147 |          0 |    1.46164 |              |             \n",
            "6m 14.02s   |       3450 |       1150 |          0 |    1.46165 |              |             \n",
            "6m 15.10s   |       3460 |       1153 |          1 |    1.46162 |              |             \n",
            "6m 16.08s   |       3469 |       1156 |          1 |    1.46164 |              |             \n",
            "6m 17.06s   |       3478 |       1159 |          1 |    1.46163 |              |             \n",
            "6m 18.03s   |       3487 |       1162 |          1 |    1.46162 |              |             \n",
            "6m 19.01s   |       3496 |       1165 |          1 |    1.46168 |              |             \n",
            "6m 20.09s   |       3506 |       1168 |          2 |    1.46167 |              |             \n",
            "6m 21.06s   |       3515 |       1171 |          2 |    1.46163 |              |             \n",
            "6m 22.04s   |       3524 |       1174 |          2 |    1.46161 |              |             \n",
            "6m 23.01s   |       3533 |       1177 |          2 |    1.46161 |              |             \n",
            "6m 24.10s   |       3543 |       1181 |          0 |    1.46166 |              |             \n",
            "6m 25.07s   |       3552 |       1184 |          0 |    1.46161 |              |             \n",
            "6m 26.05s   |       3561 |       1187 |          0 |    1.46166 |              |             \n",
            "6m 27.03s   |       3570 |       1190 |          0 |    1.46162 |              |             \n",
            "6m 28.11s   |       3580 |       1193 |          1 |    1.46162 |              |             \n",
            "6m 29.08s   |       3589 |       1196 |          1 |    1.46161 |              |             \n",
            "6m 30.06s   |       3598 |       1199 |          1 |    1.46158 |              |             \n",
            "6m 31.03s   |       3607 |       1202 |          1 |    1.46162 |              |             \n",
            "6m 32.01s   |       3616 |       1205 |          1 |    1.46162 |              |             \n",
            "6m 33.09s   |       3626 |       1208 |          2 |    1.46160 |              |             \n",
            "6m 34.07s   |       3635 |       1211 |          2 |    1.46160 |              |             \n",
            "6m 35.04s   |       3644 |       1214 |          2 |    1.46160 |              |             \n",
            "6m 36.01s   |       3653 |       1217 |          2 |    1.46162 |              |             \n",
            "6m 37.09s   |       3663 |       1221 |          0 |    1.46161 |              |             \n",
            "6m 38.07s   |       3672 |       1224 |          0 |    1.46160 |              |             \n",
            "6m 39.04s   |       3681 |       1227 |          0 |    1.46158 |              |             \n",
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            "8m 47.03s   |       4863 |       1621 |          0 |    1.46157 |              |             \n",
            "8m 48.01s   |       4872 |       1624 |          0 |    1.46156 |              |             \n",
            "8m 49.09s   |       4882 |       1627 |          1 |    1.46154 |              |             \n",
            "8m 50.06s   |       4891 |       1630 |          1 |    1.46154 |              |             \n",
            "8m 51.03s   |       4900 |       1633 |          1 |    1.46155 |              |             \n",
            "8m 52.00s   |       4909 |       1636 |          1 |    1.46155 |              |             \n",
            "8m 53.09s   |       4919 |       1639 |          2 |    1.46156 |              |             \n",
            "8m 54.06s   |       4928 |       1642 |          2 |    1.46156 |              |             \n",
            "8m 55.03s   |       4937 |       1645 |          2 |    1.46155 |              |             \n",
            "8m 56.01s   |       4946 |       1648 |          2 |    1.46156 |              |             \n",
            "8m 57.09s   |       4956 |       1652 |          0 |    1.46157 |              |             \n",
            "8m 58.07s   |       4965 |       1655 |          0 |    1.46156 |              |             \n",
            "8m 59.04s   |       4974 |       1658 |          0 |    1.46155 |              |             \n",
            "9m  0.01s   |       4983 |       1661 |          0 |    1.46155 |              |             \n",
            "9m  1.09s   |       4993 |       1664 |          1 |    1.46156 |              |             \n",
            "9m  1.74s   |       5000 |       1666 |            |            |      1.00000 |      0.74740\n",
            "Saving in \"results/train/dPTPCL_lC_mCAr3_tBSDb100lCle1E-05n300oAol0.001s5000_s0/cmd.txt\"\n",
            "Saving in \"results/train/dPTPCL_lC_mCAr3_tBSDb100lCle1E-05n300oAol0.001s5000_s0/args.json\"\n",
            "Saving in \"results/train/dPTPCL_lC_mCAr3_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.json\"\n",
            "Saving in \"results/train/dPTPCL_lC_mCAr3_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.png\"\n",
            "--model_name dPTPCL_lC_mCAr3_tBSDb100lCle1E-05n300oAol0.001s5000_s0\n",
            "Final metrics = 1.00000 (train), 0.74740 (test)\n",
            "Time taken for `train` = 9 minutes 17.23 seconds\n"
          ]
        }
      ],
      "source": [
        "# CapsNet, PreTrainedPartsToClass\n",
        "!syndacate train \\\n",
        "  --dataset PreTrainedPartsToClass \\\n",
        "  --model CapsNet \\\n",
        "  --trainer BpSpDe \\\n",
        "  --trainer.BpSpDe.n_train 300 \\\n",
        "  --trainer.BpSpDe.steps 5000 \\\n",
        "  --devices 0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B1_1XVWM_6_J",
        "outputId": "69fc4980-ede7-4dfb-8529-9d68bf9a16d0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cli: PartsToChars()\n",
            "Loading from \"./data/syndacate_aTfTh100n70000o3p12rTs3u10w100.npz\"\n",
            "Could not find \"./data/syndacate_aTfTh100n70000o3p12rTs3u10w100.npz\", generating now...\n",
            "Creating image 70000/70000 | 100.0 % | t+   8m 46.46s | t-     0.0000s | ETA 2025-05-28 10:14:41 | *************************\n",
            "Saving in \"./data/syndacate_aTfTh100n70000o3p12rTs3u10w100.npz\"\n",
            "cli: Identity()\n",
            "cli: Identity()\n",
            "cli: SetTransformer(depth=5, embedder=Identity(num_params=0), expand_ratio=2.0, heads=8, input_shape=[70000, 25, 6], model_dim=64, output_shape=[70000, 25, 18], pooler=Identity(num_params=0))\n",
            "cli: AlignedSetMse()\n",
            "cli: Adam(lr=0.001, params=<generator object Module.parameters at 0x7a8737fe8e40>)\n",
            "Time        | Epoch      | Batch      | Batch loss | Train metric | Test metric \n",
            "----------- | ---------- | ---------- | ---------- | ------------ | ------------\n",
            "0.0004s     |          0 |            |            |    181.49194 |    181.41967\n",
            "3.3279s     |          0 |          0 |  178.99385 |              |             \n",
            "4.0167s     |          0 |         53 |   15.38171 |              |             \n",
            "5.0130s     |          0 |        111 |   10.94895 |              |             \n",
            "6.0050s     |          0 |        167 |   11.81932 |              |             \n",
            "7.0068s     |          0 |        244 |   11.61453 |              |             \n",
            "8.0119s     |          0 |        325 |   11.18784 |              |             \n",
            "9.0062s     |          0 |        406 |   11.31799 |              |             \n",
            "10.0074s    |          0 |        489 |   10.99602 |              |             \n",
            "11.0014s    |          0 |        571 |    9.65039 |              |             \n",
            "11.3389s    |          0 |        599 |    9.45999 |              |             \n",
            "11.3419s    |          1 |            |            |      9.50622 |      9.52452\n",
            "14.3679s    |          1 |          0 |    8.32692 |              |             \n",
            "15.0049s    |          1 |         51 |    8.87463 |              |             \n",
            "16.0188s    |          1 |        128 |    9.01411 |              |             \n",
            "17.0158s    |          1 |        183 |    9.25510 |              |             \n",
            "18.0115s    |          1 |        238 |    8.43547 |              |             \n",
            "19.0034s    |          1 |        318 |    8.04330 |              |             \n",
            "20.0102s    |          1 |        400 |    7.92766 |              |             \n",
            "21.0070s    |          1 |        480 |    7.48275 |              |             \n",
            "22.0055s    |          1 |        559 |    7.91893 |              |             \n",
            "22.5056s    |          1 |        599 |    7.55856 |              |             \n",
            "22.5087s    |          2 |            |            |      7.44238 |      7.48055\n",
            "25.5005s    |          2 |          0 |    7.12737 |              |             \n",
            "26.0071s    |          2 |         42 |    7.10524 |              |             \n",
            "27.0137s    |          2 |        120 |    7.02095 |              |             \n",
            "28.0114s    |          2 |        199 |    6.39752 |              |             \n",
            "29.0003s    |          2 |        258 |    6.34313 |              |             \n",
            "30.0043s    |          2 |        314 |    5.48221 |              |             \n",
            "31.0053s    |          2 |        396 |    5.16533 |              |             \n",
            "32.0032s    |          2 |        478 |    4.44045 |              |             \n",
            "33.0032s    |          2 |        561 |    3.72882 |              |             \n",
            "33.4625s    |          2 |        599 |    3.36833 |              |             \n",
            "33.4653s    |          3 |            |            |      3.37305 |      3.45222\n",
            "36.4312s    |          3 |          0 |    3.65832 |              |             \n",
            "37.0008s    |          3 |         44 |    2.87043 |              |             \n",
            "38.0113s    |          3 |        124 |    2.86406 |              |             \n",
            "39.0041s    |          3 |        206 |    1.96766 |              |             \n",
            "40.0014s    |          3 |        286 |    1.86819 |              |             \n",
            "41.0055s    |          3 |        344 |    1.59241 |              |             \n",
            "42.0036s    |          3 |        399 |    1.65385 |              |             \n",
            "43.0042s    |          3 |        478 |    1.60478 |              |             \n",
            "44.0087s    |          3 |        559 |    1.27376 |              |             \n",
            "44.4913s    |          3 |        599 |    1.46089 |              |             \n",
            "44.4941s    |          4 |            |            |      1.22015 |      1.25351\n",
            "47.5432s    |          4 |          0 |    1.42937 |              |             \n",
            "48.0099s    |          4 |         35 |    1.12406 |              |             \n",
            "49.0154s    |          4 |        116 |    0.96181 |              |             \n",
            "50.0102s    |          4 |        197 |    0.97251 |              |             \n",
            "51.0074s    |          4 |        279 |    1.31583 |              |             \n",
            "52.0142s    |          4 |        355 |    0.92608 |              |             \n",
            "53.0150s    |          4 |        414 |    0.90678 |              |             \n",
            "54.0055s    |          4 |        469 |    0.90701 |              |             \n",
            "55.0053s    |          4 |        550 |    0.79189 |              |             \n",
            "55.6119s    |          4 |        599 |    0.72867 |              |             \n",
            "55.6150s    |          5 |            |            |      0.75165 |      0.78348\n",
            "58.6453s    |          5 |          0 |    0.73047 |              |             \n",
            "59.0025s    |          5 |         29 |    0.72326 |              |             \n",
            "1m  0.01s   |          5 |        110 |    0.50806 |              |             \n",
            "1m  1.01s   |          5 |        190 |    0.68856 |              |             \n",
            "1m  2.00s   |          5 |        268 |    0.63987 |              |             \n",
            "1m  3.00s   |          5 |        350 |    0.59905 |              |             \n",
            "1m  4.01s   |          5 |        429 |    0.44234 |              |             \n",
            "1m  5.01s   |          5 |        489 |    0.63663 |              |             \n",
            "1m  6.00s   |          5 |        545 |    0.65344 |              |             \n",
            "1m  6.65s   |          5 |        599 |    0.50161 |              |             \n",
            "1m  6.65s   |          6 |            |            |      0.53175 |      0.57058\n",
            "1m  9.66s   |          6 |          0 |    0.72244 |              |             \n",
            "1m 10.01s   |          6 |         28 |    0.52738 |              |             \n",
            "1m 11.00s   |          6 |        110 |    0.59717 |              |             \n",
            "1m 12.00s   |          6 |        191 |    0.64482 |              |             \n",
            "1m 13.01s   |          6 |        270 |    0.49848 |              |             \n",
            "1m 14.00s   |          6 |        350 |    0.51830 |              |             \n",
            "1m 15.01s   |          6 |        430 |    0.28874 |              |             \n",
            "1m 16.02s   |          6 |        507 |    0.94420 |              |             \n",
            "1m 17.01s   |          6 |        566 |    0.39912 |              |             \n",
            "1m 17.61s   |          6 |        599 |    0.33061 |              |             \n",
            "1m 17.61s   |          7 |            |            |      0.39148 |      0.42419\n",
            "1m 20.73s   |          7 |          0 |    0.37900 |              |             \n",
            "1m 21.00s   |          7 |         23 |    0.65494 |              |             \n",
            "1m 22.01s   |          7 |        104 |    0.63997 |              |             \n",
            "1m 23.00s   |          7 |        184 |    0.32257 |              |             \n",
            "1m 24.01s   |          7 |        264 |    0.30205 |              |             \n",
            "1m 25.01s   |          7 |        344 |    0.26247 |              |             \n",
            "1m 26.00s   |          7 |        426 |    0.22939 |              |             \n",
            "1m 27.00s   |          7 |        505 |    0.37759 |              |             \n",
            "1m 28.01s   |          7 |        562 |    0.36789 |              |             \n",
            "1m 28.73s   |          7 |        599 |    0.42033 |              |             \n",
            "1m 28.74s   |          8 |            |            |      0.31242 |      0.33693\n",
            "1m 32.47s   |          8 |          0 |    0.37418 |              |             \n",
            "1m 33.01s   |          8 |         43 |    0.22153 |              |             \n",
            "1m 34.00s   |          8 |        124 |    0.25073 |              |             \n",
            "1m 35.01s   |          8 |        202 |    0.36454 |              |             \n",
            "1m 36.00s   |          8 |        282 |    0.55662 |              |             \n",
            "1m 37.00s   |          8 |        362 |    0.42922 |              |             \n",
            "1m 38.00s   |          8 |        443 |    0.27995 |              |             \n",
            "1m 39.01s   |          8 |        524 |    0.29355 |              |             \n",
            "1m 39.94s   |          8 |        599 |    0.33732 |              |             \n",
            "1m 39.94s   |          9 |            |            |      0.26379 |      0.29640\n",
            "1m 43.59s   |          9 |          0 |    0.29878 |              |             \n",
            "1m 44.00s   |          9 |         33 |    0.18647 |              |             \n",
            "1m 45.00s   |          9 |        111 |    0.29728 |              |             \n",
            "1m 46.00s   |          9 |        191 |    0.26747 |              |             \n",
            "1m 47.00s   |          9 |        272 |    0.24690 |              |             \n",
            "1m 48.01s   |          9 |        352 |    0.14748 |              |             \n",
            "1m 49.01s   |          9 |        432 |    0.37076 |              |             \n",
            "1m 50.00s   |          9 |        512 |    0.34506 |              |             \n",
            "1m 51.01s   |          9 |        592 |    0.22160 |              |             \n",
            "1m 51.10s   |          9 |        599 |    0.30201 |              |             \n",
            "1m 51.10s   |         10 |            |            |      0.27731 |      0.30413\n",
            "1m 54.71s   |         10 |          0 |    0.28128 |              |             \n",
            "1m 55.01s   |         10 |         21 |    0.16168 |              |             \n",
            "1m 56.01s   |         10 |        101 |    0.40436 |              |             \n",
            "1m 57.01s   |         10 |        180 |    0.12970 |              |             \n",
            "1m 58.00s   |         10 |        262 |    0.19229 |              |             \n",
            "1m 59.01s   |         10 |        343 |    0.17334 |              |             \n",
            "2m  0.00s   |         10 |        424 |    0.21626 |              |             \n",
            "2m  1.00s   |         10 |        504 |    0.23887 |              |             \n",
            "2m  2.01s   |         10 |        586 |    0.17992 |              |             \n",
            "2m  2.16s   |         10 |        599 |    0.13985 |              |             \n",
            "2m  2.16s   |         11 |            |            |      0.17293 |      0.19202\n",
            "2m  5.36s   |         11 |          0 |    0.21304 |              |             \n",
            "2m  6.00s   |         11 |         38 |    0.39038 |              |             \n",
            "2m  7.01s   |         11 |         96 |    0.20621 |              |             \n",
            "2m  8.00s   |         11 |        177 |    0.29238 |              |             \n",
            "2m  9.00s   |         11 |        258 |    0.12087 |              |             \n",
            "2m 10.00s   |         11 |        337 |    0.28232 |              |             \n",
            "2m 11.00s   |         11 |        417 |    0.14280 |              |             \n",
            "2m 12.01s   |         11 |        499 |    0.14679 |              |             \n",
            "2m 13.01s   |         11 |        576 |    0.11054 |              |             \n",
            "2m 13.30s   |         11 |        599 |    0.15960 |              |             \n",
            "2m 13.30s   |         12 |            |            |      0.16755 |      0.19016\n",
            "2m 16.35s   |         12 |          0 |    0.11157 |              |             \n",
            "2m 17.00s   |         12 |         46 |    0.24042 |              |             \n",
            "2m 18.00s   |         12 |        104 |    0.48122 |              |             \n",
            "2m 19.01s   |         12 |        162 |    0.14924 |              |             \n",
            "2m 20.01s   |         12 |        243 |    0.31261 |              |             \n",
            "2m 21.01s   |         12 |        325 |    0.15179 |              |             \n",
            "2m 22.00s   |         12 |        405 |    0.16718 |              |             \n",
            "2m 23.01s   |         12 |        487 |    0.14752 |              |             \n",
            "2m 24.00s   |         12 |        568 |    0.15225 |              |             \n",
            "2m 24.38s   |         12 |        599 |    0.19805 |              |             \n",
            "2m 24.38s   |         13 |            |            |      0.20328 |      0.22318\n",
            "2m 27.38s   |         13 |          0 |    0.16619 |              |             \n",
            "2m 28.00s   |         13 |         49 |    0.20353 |              |             \n",
            "2m 29.01s   |         13 |        124 |    0.09324 |              |             \n",
            "2m 30.00s   |         13 |        184 |    0.32516 |              |             \n",
            "2m 31.00s   |         13 |        241 |    0.09331 |              |             \n",
            "2m 32.00s   |         13 |        323 |    0.14996 |              |             \n",
            "2m 33.00s   |         13 |        405 |    0.21560 |              |             \n",
            "2m 34.00s   |         13 |        486 |    0.11490 |              |             \n",
            "2m 35.00s   |         13 |        566 |    0.09304 |              |             \n",
            "2m 35.43s   |         13 |        599 |    0.32681 |              |             \n",
            "2m 35.43s   |         14 |            |            |      0.17357 |      0.19758\n",
            "2m 38.47s   |         14 |          0 |    0.14985 |              |             \n",
            "2m 39.00s   |         14 |         43 |    0.13276 |              |             \n",
            "2m 40.00s   |         14 |        123 |    0.20610 |              |             \n",
            "2m 41.02s   |         14 |        199 |    0.19115 |              |             \n",
            "2m 42.01s   |         14 |        257 |    0.09077 |              |             \n",
            "2m 43.01s   |         14 |        312 |    0.31268 |              |             \n",
            "2m 44.01s   |         14 |        391 |    0.08379 |              |             \n",
            "2m 45.01s   |         14 |        471 |    0.08433 |              |             \n",
            "2m 46.01s   |         14 |        548 |    0.25116 |              |             \n",
            "2m 46.66s   |         14 |        599 |    0.29973 |              |             \n",
            "2m 46.66s   |         15 |            |            |      0.17683 |      0.19392\n",
            "2m 49.66s   |         15 |          0 |    0.09461 |              |             \n",
            "2m 50.01s   |         15 |         27 |    0.20776 |              |             \n",
            "2m 51.00s   |         15 |        108 |    0.07447 |              |             \n",
            "2m 52.01s   |         15 |        186 |    0.07626 |              |             \n",
            "2m 53.00s   |         15 |        262 |    0.10243 |              |             \n",
            "2m 54.01s   |         15 |        323 |    0.17853 |              |             \n",
            "2m 55.01s   |         15 |        381 |    0.13891 |              |             \n",
            "2m 56.00s   |         15 |        461 |    0.09099 |              |             \n",
            "2m 57.00s   |         15 |        543 |    0.09860 |              |             \n",
            "2m 57.66s   |         15 |        599 |    0.12463 |              |             \n",
            "2m 57.66s   |         16 |            |            |      0.12758 |      0.15537\n",
            "3m  0.65s   |         16 |          0 |    0.12204 |              |             \n",
            "3m  1.00s   |         16 |         29 |    0.12685 |              |             \n",
            "3m  2.01s   |         16 |        111 |    0.09933 |              |             \n",
            "3m  3.01s   |         16 |        192 |    0.11212 |              |             \n",
            "3m  4.01s   |         16 |        274 |    0.18773 |              |             \n",
            "3m  5.00s   |         16 |        347 |    0.13953 |              |             \n",
            "3m  6.00s   |         16 |        405 |    0.07096 |              |             \n",
            "3m  7.01s   |         16 |        460 |    0.09527 |              |             \n",
            "3m  8.00s   |         16 |        541 |    0.13364 |              |             \n",
            "3m  8.73s   |         16 |        599 |    0.11446 |              |             \n",
            "3m  8.73s   |         17 |            |            |      0.11028 |      0.12591\n",
            "3m 11.75s   |         17 |          0 |    0.09491 |              |             \n",
            "3m 12.00s   |         17 |         20 |    0.19322 |              |             \n",
            "3m 13.01s   |         17 |         99 |    0.06576 |              |             \n",
            "3m 14.00s   |         17 |        178 |    0.10583 |              |             \n",
            "3m 15.00s   |         17 |        260 |    0.09499 |              |             \n",
            "3m 16.01s   |         17 |        341 |    0.09540 |              |             \n",
            "3m 17.01s   |         17 |        414 |    0.19065 |              |             \n",
            "3m 18.01s   |         17 |        474 |    0.18030 |              |             \n",
            "3m 19.01s   |         17 |        528 |    0.11253 |              |             \n",
            "3m 19.88s   |         17 |        599 |    0.15335 |              |             \n",
            "3m 19.89s   |         18 |            |            |      0.15597 |      0.17130\n",
            "3m 22.88s   |         18 |          0 |    0.11798 |              |             \n",
            "3m 23.00s   |         18 |          9 |    0.11142 |              |             \n",
            "3m 24.00s   |         18 |         92 |    0.09997 |              |             \n",
            "3m 25.01s   |         18 |        173 |    0.22195 |              |             \n",
            "3m 26.01s   |         18 |        255 |    0.06898 |              |             \n",
            "3m 27.01s   |         18 |        333 |    0.05745 |              |             \n",
            "3m 28.00s   |         18 |        413 |    0.05760 |              |             \n",
            "3m 29.02s   |         18 |        492 |    0.09927 |              |             \n",
            "3m 30.00s   |         18 |        549 |    0.07145 |              |             \n",
            "3m 30.94s   |         18 |        599 |    0.08313 |              |             \n",
            "3m 30.94s   |         19 |            |            |      0.08056 |      0.09111\n",
            "3m 33.93s   |         19 |          0 |    0.08044 |              |             \n",
            "3m 34.00s   |         19 |          6 |    0.07417 |              |             \n",
            "3m 35.01s   |         19 |         88 |    0.16706 |              |             \n",
            "3m 36.01s   |         19 |        170 |    0.06147 |              |             \n",
            "3m 37.01s   |         19 |        250 |    0.16571 |              |             \n",
            "3m 38.01s   |         19 |        331 |    0.09850 |              |             \n",
            "3m 39.01s   |         19 |        413 |    0.07729 |              |             \n",
            "3m 40.00s   |         19 |        494 |    0.11553 |              |             \n",
            "3m 41.02s   |         19 |        574 |    0.06826 |              |             \n",
            "3m 41.45s   |         19 |        599 |    0.05382 |              |             \n",
            "3m 41.45s   |         20 |            |            |      0.08593 |      0.09267\n",
            "3m 44.93s   |         20 |          0 |    0.09058 |              |             \n",
            "3m 45.00s   |         20 |          6 |    0.06322 |              |             \n",
            "3m 46.01s   |         20 |         83 |    0.12797 |              |             \n",
            "3m 47.00s   |         20 |        163 |    0.06736 |              |             \n",
            "3m 48.00s   |         20 |        240 |    0.04938 |              |             \n",
            "3m 49.00s   |         20 |        322 |    0.10570 |              |             \n",
            "3m 50.01s   |         20 |        404 |    0.06016 |              |             \n",
            "3m 51.00s   |         20 |        484 |    0.10019 |              |             \n",
            "3m 52.02s   |         20 |        565 |    0.07823 |              |             \n",
            "3m 52.43s   |         20 |        599 |    0.06261 |              |             \n",
            "3m 52.44s   |         21 |            |            |      0.10087 |      0.11432\n",
            "3m 56.02s   |         21 |          0 |    0.25502 |              |             \n",
            "3m 57.00s   |         21 |         80 |    0.05926 |              |             \n",
            "3m 58.01s   |         21 |        159 |    0.05893 |              |             \n",
            "3m 59.01s   |         21 |        238 |    0.08542 |              |             \n",
            "4m  0.01s   |         21 |        318 |    0.06056 |              |             \n",
            "4m  1.01s   |         21 |        398 |    0.08439 |              |             \n",
            "4m  2.00s   |         21 |        478 |    0.08018 |              |             \n",
            "4m  3.00s   |         21 |        559 |    0.11032 |              |             \n",
            "4m  3.50s   |         21 |        599 |    0.05144 |              |             \n",
            "4m  3.50s   |         22 |            |            |      0.08770 |      0.09517\n",
            "4m  7.09s   |         22 |          0 |    0.08553 |              |             \n",
            "4m  8.00s   |         22 |         73 |    0.13998 |              |             \n",
            "4m  9.01s   |         22 |        153 |    0.07401 |              |             \n",
            "4m 10.01s   |         22 |        235 |    0.11164 |              |             \n",
            "4m 11.01s   |         22 |        315 |    0.10677 |              |             \n",
            "4m 12.01s   |         22 |        396 |    0.14884 |              |             \n",
            "4m 13.01s   |         22 |        476 |    0.04981 |              |             \n",
            "4m 14.01s   |         22 |        555 |    0.10890 |              |             \n",
            "4m 14.54s   |         22 |        599 |    0.21666 |              |             \n",
            "4m 14.54s   |         23 |            |            |      0.12396 |      0.13709\n",
            "4m 17.81s   |         23 |          0 |    0.08529 |              |             \n",
            "4m 18.00s   |         23 |         12 |    0.10894 |              |             \n",
            "4m 19.00s   |         23 |         68 |    0.13922 |              |             \n",
            "4m 20.01s   |         23 |        149 |    0.05327 |              |             \n",
            "4m 21.01s   |         23 |        231 |    0.06454 |              |             \n",
            "4m 22.01s   |         23 |        312 |    0.11391 |              |             \n",
            "4m 23.01s   |         23 |        395 |    0.04669 |              |             \n",
            "4m 24.01s   |         23 |        477 |    0.06190 |              |             \n",
            "4m 25.01s   |         23 |        559 |    0.07349 |              |             \n",
            "4m 25.51s   |         23 |        599 |    0.05236 |              |             \n",
            "4m 25.51s   |         24 |            |            |      0.06638 |      0.07506\n",
            "4m 28.50s   |         24 |          0 |    0.07408 |              |             \n",
            "4m 29.00s   |         24 |         35 |    0.05979 |              |             \n",
            "4m 30.00s   |         24 |         94 |    0.08827 |              |             \n",
            "4m 31.00s   |         24 |        150 |    0.08502 |              |             \n",
            "4m 32.01s   |         24 |        231 |    0.06227 |              |             \n",
            "4m 33.01s   |         24 |        312 |    0.07097 |              |             \n",
            "4m 34.01s   |         24 |        391 |    0.05388 |              |             \n",
            "4m 35.01s   |         24 |        471 |    0.06174 |              |             \n",
            "4m 36.00s   |         24 |        551 |    0.04681 |              |             \n",
            "4m 36.58s   |         24 |        599 |    0.05416 |              |             \n",
            "4m 36.58s   |         25 |            |            |      0.07174 |      0.07748\n",
            "4m 39.58s   |         25 |          0 |    0.08198 |              |             \n",
            "4m 40.00s   |         25 |         33 |    0.04589 |              |             \n",
            "4m 41.00s   |         25 |        108 |    0.04268 |              |             \n",
            "4m 42.01s   |         25 |        167 |    0.08294 |              |             \n",
            "4m 43.01s   |         25 |        225 |    0.05466 |              |             \n",
            "4m 44.01s   |         25 |        304 |    0.04276 |              |             \n",
            "4m 45.02s   |         25 |        386 |    0.24510 |              |             \n",
            "4m 46.01s   |         25 |        466 |    0.18153 |              |             \n",
            "4m 47.00s   |         25 |        545 |    0.19470 |              |             \n",
            "4m 47.68s   |         25 |        599 |    0.19573 |              |             \n",
            "4m 47.68s   |         26 |            |            |      0.16864 |      0.18461\n",
            "4m 50.68s   |         26 |          0 |    0.07558 |              |             \n",
            "4m 51.00s   |         26 |         26 |    0.20648 |              |             \n",
            "4m 52.01s   |         26 |        106 |    0.08184 |              |             \n",
            "4m 53.02s   |         26 |        182 |    0.06243 |              |             \n",
            "4m 54.01s   |         26 |        240 |    0.13228 |              |             \n",
            "4m 55.01s   |         26 |        298 |    0.09820 |              |             \n",
            "4m 56.00s   |         26 |        379 |    0.03902 |              |             \n",
            "4m 57.01s   |         26 |        461 |    0.03303 |              |             \n",
            "4m 58.00s   |         26 |        542 |    0.11058 |              |             \n",
            "4m 58.70s   |         26 |        599 |    0.05651 |              |             \n",
            "4m 58.70s   |         27 |            |            |      0.06228 |      0.06586\n",
            "5m  1.71s   |         27 |          0 |    0.04957 |              |             \n",
            "5m  2.00s   |         27 |         23 |    0.06205 |              |             \n",
            "5m  3.00s   |         27 |        104 |    0.04422 |              |             \n",
            "5m  4.00s   |         27 |        186 |    0.03796 |              |             \n",
            "5m  5.01s   |         27 |        262 |    0.03711 |              |             \n",
            "5m  6.00s   |         27 |        322 |    0.05184 |              |             \n",
            "5m  7.01s   |         27 |        383 |    0.05975 |              |             \n",
            "5m  8.00s   |         27 |        462 |    0.03197 |              |             \n",
            "5m  9.01s   |         27 |        544 |    0.06094 |              |             \n",
            "5m  9.67s   |         27 |        599 |    0.05089 |              |             \n",
            "5m  9.68s   |         28 |            |            |      0.05317 |      0.05556\n",
            "5m 12.63s   |         28 |          0 |    0.03877 |              |             \n",
            "5m 13.01s   |         28 |         30 |    0.04034 |              |             \n",
            "5m 14.01s   |         28 |        106 |    0.04737 |              |             \n",
            "5m 15.00s   |         28 |        186 |    0.08533 |              |             \n",
            "5m 16.01s   |         28 |        267 |    0.03757 |              |             \n",
            "5m 17.00s   |         28 |        339 |    0.03767 |              |             \n",
            "5m 18.00s   |         28 |        399 |    0.05072 |              |             \n",
            "5m 19.01s   |         28 |        461 |    0.11618 |              |             \n",
            "5m 20.01s   |         28 |        540 |    0.04654 |              |             \n",
            "5m 20.77s   |         28 |        599 |    0.11098 |              |             \n",
            "5m 20.77s   |         29 |            |            |      0.08149 |      0.08933\n",
            "5m 23.78s   |         29 |          0 |    0.07286 |              |             \n",
            "5m 24.01s   |         29 |         19 |    0.05997 |              |             \n",
            "5m 25.01s   |         29 |         99 |    0.06663 |              |             \n",
            "5m 26.01s   |         29 |        180 |    0.05452 |              |             \n",
            "5m 27.01s   |         29 |        261 |    0.05299 |              |             \n",
            "5m 28.01s   |         29 |        338 |    0.02656 |              |             \n",
            "5m 29.02s   |         29 |        408 |    0.05047 |              |             \n",
            "5m 30.01s   |         29 |        468 |    0.06133 |              |             \n",
            "5m 31.01s   |         29 |        527 |    0.05188 |              |             \n",
            "5m 31.91s   |         29 |        599 |    0.10745 |              |             \n",
            "5m 31.91s   |         30 |            |            |      0.06398 |      0.06427\n",
            "5m 34.89s   |         30 |          0 |    0.11905 |              |             \n",
            "5m 35.00s   |         30 |         10 |    0.05465 |              |             \n",
            "5m 36.01s   |         30 |         92 |    0.07113 |              |             \n",
            "5m 37.00s   |         30 |        175 |    0.05270 |              |             \n",
            "5m 38.01s   |         30 |        257 |    0.03691 |              |             \n",
            "5m 39.00s   |         30 |        338 |    0.04281 |              |             \n",
            "5m 40.00s   |         30 |        419 |    0.04805 |              |             \n",
            "5m 41.00s   |         30 |        487 |    0.04685 |              |             \n",
            "5m 42.01s   |         30 |        546 |    0.08892 |              |             \n",
            "5m 42.87s   |         30 |        599 |    0.07498 |              |             \n",
            "5m 42.88s   |         31 |            |            |      0.06730 |      0.07151\n",
            "5m 45.91s   |         31 |          0 |    0.04807 |              |             \n",
            "5m 46.01s   |         31 |          8 |    0.04155 |              |             \n",
            "5m 47.00s   |         31 |         90 |    0.04247 |              |             \n",
            "5m 48.00s   |         31 |        168 |    0.09037 |              |             \n",
            "5m 49.00s   |         31 |        248 |    0.04825 |              |             \n",
            "5m 50.00s   |         31 |        328 |    0.03292 |              |             \n",
            "5m 51.01s   |         31 |        410 |    0.02386 |              |             \n",
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            "5m 53.02s   |         31 |        560 |    0.05180 |              |             \n",
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            "5m 53.66s   |         32 |            |            |      0.04902 |      0.05257\n",
            "5m 56.96s   |         32 |          0 |    0.03814 |              |             \n",
            "5m 57.01s   |         32 |          4 |    0.03499 |              |             \n",
            "5m 58.01s   |         32 |         85 |    0.03435 |              |             \n",
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            "6m  0.00s   |         32 |        247 |    0.03153 |              |             \n",
            "6m  1.01s   |         32 |        329 |    0.03756 |              |             \n",
            "6m  2.01s   |         32 |        410 |    0.03255 |              |             \n",
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            "6m  4.35s   |         33 |            |            |      0.05766 |      0.06227\n",
            "6m  8.65s   |         33 |          0 |    0.04444 |              |             \n",
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            "6m 19.56s   |         34 |          0 |    0.03979 |              |             \n",
            "6m 20.01s   |         34 |         38 |    0.15003 |              |             \n",
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            "6m 22.01s   |         34 |        199 |    0.04102 |              |             \n",
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            "6m 30.16s   |         35 |          0 |    0.02266 |              |             \n",
            "6m 31.01s   |         35 |         51 |    0.03876 |              |             \n",
            "6m 32.00s   |         35 |        117 |    0.02482 |              |             \n",
            "6m 33.01s   |         35 |        201 |    0.05160 |              |             \n",
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            "6m 40.94s   |         36 |          0 |    0.05654 |              |             \n",
            "6m 41.00s   |         36 |          5 |    0.04357 |              |             \n",
            "6m 42.01s   |         36 |         73 |    0.07074 |              |             \n",
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            "6m 51.95s   |         37 |          0 |    0.03547 |              |             \n",
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            "7m  2.83s   |         38 |          0 |    0.04346 |              |             \n",
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            "7m 14.01s   |         39 |         13 |    0.11231 |              |             \n",
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            "7m 24.68s   |         40 |          0 |    0.07004 |              |             \n",
            "7m 25.01s   |         40 |         26 |    0.14121 |              |             \n",
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            "7m 35.54s   |         41 |          0 |    0.02966 |              |             \n",
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            "8m 50.85s   |         48 |          0 |    0.01973 |              |             \n",
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            "9m 12.72s   |         50 |          0 |    0.01777 |              |             \n",
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            "9m 23.60s   |         51 |          0 |    0.12618 |              |             \n",
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            "9m 34.52s   |         52 |          0 |    0.02690 |              |             \n",
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            "9m 45.42s   |         53 |          0 |    0.02482 |              |             \n",
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            "9m 56.37s   |         54 |          0 |    0.01443 |              |             \n",
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            "10m  1.01s  |         54 |        379 |    0.03287 |              |             \n",
            "10m  2.00s  |         54 |        459 |    0.02558 |              |             \n",
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            "10m  7.31s  |         55 |          0 |    0.03413 |              |             \n",
            "10m  8.01s  |         55 |         57 |    0.02996 |              |             \n",
            "10m  9.01s  |         55 |        141 |    0.02309 |              |             \n",
            "10m 10.01s  |         55 |        222 |    0.01518 |              |             \n",
            "10m 11.00s  |         55 |        304 |    0.01872 |              |             \n",
            "10m 12.01s  |         55 |        387 |    0.09260 |              |             \n",
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            "18m 10.02s  |        100 |            |            |      0.01953 |      0.02211\n",
            "Saving in \"results/train/SetTransformer_PartsToChars/cmd.txt\"\n",
            "Saving in \"results/train/SetTransformer_PartsToChars/args.json\"\n",
            "Saving in \"results/train/SetTransformer_PartsToChars/metrics.json\"\n",
            "Saving in \"results/train/SetTransformer_PartsToChars/metrics.png\"\n",
            "Saving in \"results/train/SetTransformer_PartsToChars/model.pth\"\n",
            "Saving in \"results/train/SetTransformer_PartsToChars/table.pkl\"\n",
            "--model_name SetTransformer_PartsToChars\n",
            "Final metrics = 0.01953 (train), 0.02211 (test)\n",
            "Time taken for `train` = 27 minutes 12.23 seconds\n"
          ]
        }
      ],
      "source": [
        "# SetTransformer, PartsToChars\n",
        "!syndacate train \\\n",
        "  --dataset PartsToChars \\\n",
        "  --model SetTransformer \\\n",
        "  --model.SetTransformer.depth 5 \\\n",
        "  --trainer.BpSp.epochs 100 \\\n",
        "  --devices 0 \\\n",
        "  --model_name SetTransformer_PartsToChars"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 763
        },
        "id": "qgF39Vm5zgRy",
        "outputId": "b88dca63-1261-4a18-eee5-1c8476bb889c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Loading from \"results/train/SetTransformer_PartsToChars/args.json\"\n",
            "cli: PartsToChars()\n",
            "Loading from \"./data/syndacate_aTfTh100n70000o3p12rTs3u10w100.npz\"\n",
            "cli: Identity()\n",
            "cli: Identity()\n",
            "cli: SetTransformer(depth=5, embedder=Identity(num_params=0), expand_ratio=2.0, heads=8, input_shape=[70000, 25, 6], model_dim=64, output_shape=[70000, 25, 18], pooler=Identity(num_params=0))\n",
            "Loading from \"results/train/SetTransformer_PartsToChars/model.pth\"\n",
            "Saving in \"results/train/SetTransformer_PartsToChars/char_predictions.png\"\n",
            "Time taken for `plotcharpredictions` = 4.2668 seconds\n"
          ]
        },
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "!syndacate plotcharpredictions --model_name SetTransformer_PartsToChars\n",
        "from jutility import plotting\n",
        "plotting.show_ipython(\"results/train/SetTransformer_PartsToChars/char_predictions.png\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "sHyg8dX7_9uW",
        "outputId": "2b0e4b55-5519-41c0-931b-a10f5a537a0b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cli: PartsToChars()\n",
            "Loading from \"./data/syndacate_aTfTh100n70000o3p12rTs3u10w100.npz\"\n",
            "cli: Identity()\n",
            "cli: Identity()\n",
            "cli: DeepSetToSet(depth=5, embedder=Identity(num_params=0), hidden_dim=100, input_shape=[70000, 25, 6], output_shape=[70000, 25, 18], pooler=Identity(num_params=0))\n",
            "cli: AlignedSetMse()\n",
            "cli: Adam(lr=0.001, params=<generator object Module.parameters at 0x7c8f46928e40>)\n",
            "Time        | Epoch      | Batch      | Batch loss | Train metric | Test metric \n",
            "----------- | ---------- | ---------- | ---------- | ------------ | ------------\n",
            "0.0010s     |          0 |            |            |     48.19908 |     48.33571\n",
            "1.5502s     |          0 |          0 |   48.63958 |              |             \n",
            "2.0016s     |          0 |        102 |   11.64917 |              |             \n",
            "3.0040s     |          0 |        328 |   10.08247 |              |             \n",
            "4.0016s     |          0 |        552 |    8.90275 |              |             \n",
            "4.2258s     |          0 |        599 |    8.99107 |              |             \n",
            "4.2294s     |          1 |            |            |      9.18056 |      9.22256\n",
            "5.5013s     |          1 |          0 |    9.18196 |              |             \n",
            "6.0010s     |          1 |        111 |    8.34941 |              |             \n",
            "7.0012s     |          1 |        334 |    8.45521 |              |             \n",
            "8.0029s     |          1 |        554 |    7.53781 |              |             \n",
            "8.2030s     |          1 |        599 |    7.27408 |              |             \n",
            "8.2060s     |          2 |            |            |      7.38405 |      7.45378\n",
            "9.4758s     |          2 |          0 |    7.63042 |              |             \n",
            "10.0044s    |          2 |        116 |    7.35866 |              |             \n",
            "11.0011s    |          2 |        291 |    6.81134 |              |             \n",
            "12.0047s    |          2 |        456 |    6.26197 |              |             \n",
            "12.6879s    |          2 |        599 |    6.26352 |              |             \n",
            "12.6908s    |          3 |            |            |      6.45147 |      6.55377\n",
            "13.9771s    |          3 |          0 |    6.84032 |              |             \n",
            "14.0036s    |          3 |          6 |    6.84143 |              |             \n",
            "15.0004s    |          3 |        224 |    5.90036 |              |             \n",
            "16.0031s    |          3 |        453 |    6.51415 |              |             \n",
            "16.6388s    |          3 |        599 |    5.87766 |              |             \n",
            "16.6416s    |          4 |            |            |      5.68575 |      5.81923\n",
            "17.8990s    |          4 |          0 |    5.83621 |              |             \n",
            "18.0030s    |          4 |         20 |    6.22087 |              |             \n",
            "19.0042s    |          4 |        247 |    4.98600 |              |             \n",
            "20.0026s    |          4 |        468 |    4.87123 |              |             \n",
            "20.5938s    |          4 |        599 |    5.67827 |              |             \n",
            "20.5968s    |          5 |            |            |      5.40193 |      5.53615\n",
            "21.8820s    |          5 |          0 |    4.86514 |              |             \n",
            "22.0015s    |          5 |         27 |    5.37543 |              |             \n",
            "23.0044s    |          5 |        202 |    5.26131 |              |             \n",
            "24.0068s    |          5 |        362 |    5.31462 |              |             \n",
            "25.0009s    |          5 |        567 |    4.91205 |              |             \n",
            "25.1425s    |          5 |        599 |    5.51168 |              |             \n",
            "25.1454s    |          6 |            |            |      4.97376 |      5.10299\n",
            "26.4549s    |          6 |          0 |    4.01191 |              |             \n",
            "27.0036s    |          6 |        116 |    4.40901 |              |             \n",
            "28.0020s    |          6 |        343 |    5.63535 |              |             \n",
            "29.0011s    |          6 |        566 |    5.05075 |              |             \n",
            "29.1450s    |          6 |        599 |    4.48098 |              |             \n",
            "29.1480s    |          7 |            |            |      4.62981 |      4.74992\n",
            "30.4252s    |          7 |          0 |    5.26955 |              |             \n",
            "31.0025s    |          7 |        126 |    4.79446 |              |             \n",
            "32.0013s    |          7 |        342 |    4.28064 |              |             \n",
            "33.0038s    |          7 |        561 |    4.24767 |              |             \n",
            "33.1723s    |          7 |        599 |    4.75187 |              |             \n",
            "33.1753s    |          8 |            |            |      4.29147 |      4.44440\n",
            "34.6635s    |          8 |          0 |    4.30342 |              |             \n",
            "35.0021s    |          8 |         55 |    5.38991 |              |             \n",
            "36.0042s    |          8 |        216 |    3.97467 |              |             \n",
            "37.0025s    |          8 |        419 |    4.84201 |              |             \n",
            "37.8187s    |          8 |        599 |    4.91496 |              |             \n",
            "37.8217s    |          9 |            |            |      4.08613 |      4.25062\n",
            "39.1047s    |          9 |          0 |    4.51350 |              |             \n",
            "40.0020s    |          9 |        194 |    4.19980 |              |             \n",
            "41.0017s    |          9 |        417 |    4.44422 |              |             \n",
            "41.8081s    |          9 |        599 |    3.79364 |              |             \n",
            "41.8110s    |         10 |            |            |      3.91308 |      4.10151\n",
            "43.1236s    |         10 |          0 |    3.87484 |              |             \n",
            "44.0013s    |         10 |        198 |    3.53595 |              |             \n",
            "45.0037s    |         10 |        418 |    3.65358 |              |             \n",
            "45.8274s    |         10 |        599 |    3.56853 |              |             \n",
            "45.8303s    |         11 |            |            |      3.97245 |      4.14895\n",
            "47.4475s    |         11 |          0 |    3.87093 |              |             \n",
            "48.0046s    |         11 |         85 |    3.61542 |              |             \n",
            "49.0033s    |         11 |        294 |    4.13123 |              |             \n",
            "50.0028s    |         11 |        516 |    3.54491 |              |             \n",
            "50.3818s    |         11 |        599 |    3.94895 |              |             \n",
            "50.3847s    |         12 |            |            |      3.80727 |      3.98070\n",
            "51.6641s    |         12 |          0 |    3.80515 |              |             \n",
            "52.0014s    |         12 |         76 |    4.02631 |              |             \n",
            "53.0021s    |         12 |        300 |    3.79225 |              |             \n",
            "54.0001s    |         12 |        524 |    4.83562 |              |             \n",
            "54.3510s    |         12 |        599 |    4.04800 |              |             \n",
            "54.3543s    |         13 |            |            |      3.74485 |      3.94567\n",
            "55.6569s    |         13 |          0 |    3.96884 |              |             \n",
            "56.0039s    |         13 |         74 |    4.06911 |              |             \n",
            "57.0018s    |         13 |        292 |    4.38178 |              |             \n",
            "58.0018s    |         13 |        516 |    2.87170 |              |             \n",
            "58.4478s    |         13 |        599 |    3.36848 |              |             \n",
            "58.4522s    |         14 |            |            |      3.74863 |      3.97064\n",
            "1m  0.25s   |         14 |          0 |    3.83701 |              |             \n",
            "1m  1.00s   |         14 |        170 |    3.37936 |              |             \n",
            "1m  2.00s   |         14 |        391 |    3.97861 |              |             \n",
            "1m  2.94s   |         14 |        599 |    3.62015 |              |             \n",
            "1m  2.94s   |         15 |            |            |      3.62767 |      3.85915\n",
            "1m  4.22s   |         15 |          0 |    3.97364 |              |             \n",
            "1m  5.00s   |         15 |        172 |    3.52055 |              |             \n",
            "1m  6.00s   |         15 |        393 |    3.83939 |              |             \n",
            "1m  6.92s   |         15 |        599 |    3.30006 |              |             \n",
            "1m  6.92s   |         16 |            |            |      3.48621 |      3.74120\n",
            "1m  8.20s   |         16 |          0 |    4.07159 |              |             \n",
            "1m  9.00s   |         16 |        179 |    4.02578 |              |             \n",
            "1m 10.00s   |         16 |        403 |    3.73750 |              |             \n",
            "1m 11.00s   |         16 |        577 |    3.78601 |              |             \n",
            "1m 11.12s   |         16 |        599 |    3.14424 |              |             \n",
            "1m 11.13s   |         17 |            |            |      3.56055 |      3.78669\n",
            "1m 12.74s   |         17 |          0 |    2.67436 |              |             \n",
            "1m 13.00s   |         17 |         58 |    2.99993 |              |             \n",
            "1m 14.00s   |         17 |        285 |    3.81104 |              |             \n",
            "1m 15.00s   |         17 |        508 |    3.34611 |              |             \n",
            "1m 15.41s   |         17 |        599 |    3.30460 |              |             \n",
            "1m 15.42s   |         18 |            |            |      3.34775 |      3.60521\n",
            "1m 16.72s   |         18 |          0 |    2.65505 |              |             \n",
            "1m 17.00s   |         18 |         64 |    3.74189 |              |             \n",
            "1m 18.00s   |         18 |        285 |    3.27423 |              |             \n",
            "1m 19.00s   |         18 |        509 |    4.00372 |              |             \n",
            "1m 19.42s   |         18 |        599 |    3.65342 |              |             \n",
            "1m 19.42s   |         19 |            |            |      3.33878 |      3.60072\n",
            "1m 20.69s   |         19 |          0 |    3.11333 |              |             \n",
            "1m 21.00s   |         19 |         69 |    4.47612 |              |             \n",
            "1m 22.00s   |         19 |        293 |    3.40580 |              |             \n",
            "1m 23.01s   |         19 |        469 |    3.94299 |              |             \n",
            "1m 23.78s   |         19 |        599 |    2.84212 |              |             \n",
            "1m 23.78s   |         20 |            |            |      3.12779 |      3.39853\n",
            "1m 25.23s   |         20 |          0 |    3.00680 |              |             \n",
            "1m 26.00s   |         20 |        171 |    3.21336 |              |             \n",
            "1m 27.00s   |         20 |        395 |    4.55823 |              |             \n",
            "1m 27.94s   |         20 |        599 |    2.98120 |              |             \n",
            "1m 27.94s   |         21 |            |            |      3.26654 |      3.53058\n",
            "1m 29.21s   |         21 |          0 |    2.95132 |              |             \n",
            "1m 30.00s   |         21 |        177 |    3.60363 |              |             \n",
            "1m 31.00s   |         21 |        403 |    3.65241 |              |             \n",
            "1m 31.89s   |         21 |        599 |    3.38306 |              |             \n",
            "1m 31.89s   |         22 |            |            |      3.06473 |      3.35251\n",
            "1m 33.17s   |         22 |          0 |    3.24376 |              |             \n",
            "1m 34.00s   |         22 |        189 |    2.98542 |              |             \n",
            "1m 35.01s   |         22 |        360 |    3.46789 |              |             \n",
            "1m 36.00s   |         22 |        522 |    3.47103 |              |             \n",
            "1m 36.41s   |         22 |        599 |    3.33148 |              |             \n",
            "1m 36.42s   |         23 |            |            |      3.07679 |      3.39041\n",
            "1m 37.68s   |         23 |          0 |    3.06225 |              |             \n",
            "1m 38.01s   |         23 |         69 |    3.10357 |              |             \n",
            "1m 39.00s   |         23 |        295 |    2.92318 |              |             \n",
            "1m 40.00s   |         23 |        521 |    3.30054 |              |             \n",
            "1m 40.36s   |         23 |        599 |    3.77903 |              |             \n",
            "1m 40.36s   |         24 |            |            |      2.93249 |      3.24322\n",
            "1m 41.65s   |         24 |          0 |    2.79355 |              |             \n",
            "1m 42.00s   |         24 |         81 |    2.19142 |              |             \n",
            "1m 43.00s   |         24 |        309 |    3.22738 |              |             \n",
            "1m 44.00s   |         24 |        533 |    3.03423 |              |             \n",
            "1m 44.30s   |         24 |        599 |    2.77312 |              |             \n",
            "1m 44.30s   |         25 |            |            |      2.93142 |      3.23753\n",
            "1m 45.58s   |         25 |          0 |    2.35893 |              |             \n",
            "1m 46.00s   |         25 |         96 |    2.67411 |              |             \n",
            "1m 47.00s   |         25 |        274 |    2.70746 |              |             \n",
            "1m 48.00s   |         25 |        436 |    2.66907 |              |             \n",
            "1m 48.80s   |         25 |        599 |    2.44691 |              |             \n",
            "1m 48.81s   |         26 |            |            |      2.80063 |      3.10901\n",
            "1m 50.11s   |         26 |          0 |    2.69056 |              |             \n",
            "1m 51.00s   |         26 |        198 |    2.77660 |              |             \n",
            "1m 52.00s   |         26 |        423 |    3.02368 |              |             \n",
            "1m 52.80s   |         26 |        599 |    3.55756 |              |             \n",
            "1m 52.80s   |         27 |            |            |      2.82899 |      3.14803\n",
            "1m 54.07s   |         27 |          0 |    3.08827 |              |             \n",
            "1m 55.00s   |         27 |        212 |    2.89320 |              |             \n",
            "1m 56.00s   |         27 |        435 |    2.32358 |              |             \n",
            "1m 56.73s   |         27 |        599 |    3.21365 |              |             \n",
            "1m 56.73s   |         28 |            |            |      2.73663 |      3.07705\n",
            "1m 58.03s   |         28 |          0 |    2.67736 |              |             \n",
            "1m 59.00s   |         28 |        166 |    3.21791 |              |             \n",
            "2m  0.01s   |         28 |        330 |    3.34426 |              |             \n",
            "2m  1.00s   |         28 |        546 |    2.42023 |              |             \n",
            "2m  1.25s   |         28 |        599 |    3.46653 |              |             \n",
            "2m  1.26s   |         29 |            |            |      2.76582 |      3.11777\n",
            "2m  2.54s   |         29 |          0 |    3.17410 |              |             \n",
            "2m  3.00s   |         29 |        100 |    2.23708 |              |             \n",
            "2m  4.01s   |         29 |        325 |    3.12362 |              |             \n",
            "2m  5.00s   |         29 |        548 |    2.37472 |              |             \n",
            "2m  5.24s   |         29 |        599 |    3.19113 |              |             \n",
            "2m  5.24s   |         30 |            |            |      2.71237 |      3.05502\n",
            "2m  6.52s   |         30 |          0 |    2.56234 |              |             \n",
            "2m  7.00s   |         30 |        108 |    2.42748 |              |             \n",
            "2m  8.00s   |         30 |        329 |    2.62343 |              |             \n",
            "2m  9.00s   |         30 |        554 |    2.45947 |              |             \n",
            "2m  9.21s   |         30 |        599 |    2.66051 |              |             \n",
            "2m  9.21s   |         31 |            |            |      2.56070 |      2.89836\n",
            "2m 10.67s   |         31 |          0 |    1.82893 |              |             \n",
            "2m 11.00s   |         31 |         59 |    2.32322 |              |             \n",
            "2m 12.00s   |         31 |        224 |    2.96356 |              |             \n",
            "2m 13.00s   |         31 |        447 |    3.09868 |              |             \n",
            "2m 13.68s   |         31 |        599 |    2.72881 |              |             \n",
            "2m 13.68s   |         32 |            |            |      2.55830 |      2.90082\n",
            "2m 14.96s   |         32 |          0 |    2.30092 |              |             \n",
            "2m 15.00s   |         32 |          8 |    2.56730 |              |             \n",
            "2m 16.00s   |         32 |        233 |    2.81784 |              |             \n",
            "2m 17.00s   |         32 |        457 |    2.54441 |              |             \n",
            "2m 17.63s   |         32 |        599 |    2.17738 |              |             \n",
            "2m 17.63s   |         33 |            |            |      2.52065 |      2.89411\n",
            "2m 18.90s   |         33 |          0 |    2.06165 |              |             \n",
            "2m 19.00s   |         33 |         23 |    2.38130 |              |             \n",
            "2m 20.00s   |         33 |        249 |    2.44017 |              |             \n",
            "2m 21.00s   |         33 |        474 |    2.29741 |              |             \n",
            "2m 21.55s   |         33 |        599 |    2.53412 |              |             \n",
            "2m 21.56s   |         34 |            |            |      2.50820 |      2.87741\n",
            "2m 23.18s   |         34 |          0 |    2.70030 |              |             \n",
            "2m 24.00s   |         34 |        136 |    2.18324 |              |             \n",
            "2m 25.00s   |         34 |        362 |    2.10782 |              |             \n",
            "2m 26.00s   |         34 |        581 |    2.44746 |              |             \n",
            "2m 26.09s   |         34 |        599 |    2.72585 |              |             \n",
            "2m 26.09s   |         35 |            |            |      2.37131 |      2.75225\n",
            "2m 27.39s   |         35 |          0 |    2.32657 |              |             \n",
            "2m 28.00s   |         35 |        135 |    2.49493 |              |             \n",
            "2m 29.00s   |         35 |        357 |    2.23491 |              |             \n",
            "2m 30.00s   |         35 |        583 |    1.93699 |              |             \n",
            "2m 30.07s   |         35 |        599 |    2.26682 |              |             \n",
            "2m 30.08s   |         36 |            |            |      2.45073 |      2.83455\n",
            "2m 31.35s   |         36 |          0 |    2.24262 |              |             \n",
            "2m 32.00s   |         36 |        146 |    2.40658 |              |             \n",
            "2m 33.00s   |         36 |        371 |    2.47240 |              |             \n",
            "2m 34.01s   |         36 |        582 |    2.11718 |              |             \n",
            "2m 34.12s   |         36 |        599 |    1.84740 |              |             \n",
            "2m 34.13s   |         37 |            |            |      2.23489 |      2.62212\n",
            "2m 35.87s   |         37 |          0 |    2.70937 |              |             \n",
            "2m 36.00s   |         37 |         31 |    2.41933 |              |             \n",
            "2m 37.00s   |         37 |        257 |    2.60379 |              |             \n",
            "2m 38.00s   |         37 |        486 |    1.89193 |              |             \n",
            "2m 38.51s   |         37 |        599 |    1.70257 |              |             \n",
            "2m 38.52s   |         38 |            |            |      2.25414 |      2.67264\n",
            "2m 39.79s   |         38 |          0 |    2.60054 |              |             \n",
            "2m 40.00s   |         38 |         48 |    1.89398 |              |             \n",
            "2m 41.00s   |         38 |        271 |    2.24422 |              |             \n",
            "2m 42.00s   |         38 |        493 |    2.30705 |              |             \n",
            "2m 42.48s   |         38 |        599 |    2.28423 |              |             \n",
            "2m 42.48s   |         39 |            |            |      2.17706 |      2.59717\n",
            "2m 43.76s   |         39 |          0 |    2.09842 |              |             \n",
            "2m 44.00s   |         39 |         54 |    2.21800 |              |             \n",
            "2m 45.00s   |         39 |        277 |    2.04340 |              |             \n",
            "2m 46.00s   |         39 |        480 |    3.08598 |              |             \n",
            "2m 46.71s   |         39 |        599 |    2.18147 |              |             \n",
            "2m 46.71s   |         40 |            |            |      2.12138 |      2.54807\n",
            "2m 48.24s   |         40 |          0 |    2.60110 |              |             \n",
            "2m 49.00s   |         40 |        168 |    2.53162 |              |             \n",
            "2m 50.00s   |         40 |        394 |    2.33792 |              |             \n",
            "2m 50.91s   |         40 |        599 |    2.16030 |              |             \n",
            "2m 50.91s   |         41 |            |            |      2.15079 |      2.56595\n",
            "2m 52.18s   |         41 |          0 |    2.14083 |              |             \n",
            "2m 53.00s   |         41 |        184 |    1.80331 |              |             \n",
            "2m 54.00s   |         41 |        407 |    2.36070 |              |             \n",
            "2m 54.88s   |         41 |        599 |    2.21068 |              |             \n",
            "2m 54.88s   |         42 |            |            |      2.17224 |      2.62291\n",
            "2m 56.17s   |         42 |          0 |    2.15659 |              |             \n",
            "2m 57.00s   |         42 |        187 |    1.76123 |              |             \n",
            "2m 58.00s   |         42 |        378 |    2.16712 |              |             \n",
            "2m 59.01s   |         42 |        554 |    2.31089 |              |             \n",
            "2m 59.30s   |         42 |        599 |    1.88833 |              |             \n",
            "2m 59.31s   |         43 |            |            |      2.13380 |      2.56764\n",
            "3m  0.62s   |         43 |          0 |    2.51383 |              |             \n",
            "3m  1.00s   |         43 |         87 |    2.26757 |              |             \n",
            "3m  2.00s   |         43 |        308 |    2.15668 |              |             \n",
            "3m  3.00s   |         43 |        534 |    1.85923 |              |             \n",
            "3m  3.30s   |         43 |        599 |    2.09969 |              |             \n",
            "3m  3.30s   |         44 |            |            |      2.04948 |      2.51556\n",
            "3m  4.58s   |         44 |          0 |    1.84629 |              |             \n",
            "3m  5.01s   |         44 |         96 |    2.12318 |              |             \n",
            "3m  6.00s   |         44 |        319 |    2.41595 |              |             \n",
            "3m  7.00s   |         44 |        546 |    1.88999 |              |             \n",
            "3m  7.23s   |         44 |        599 |    2.06737 |              |             \n",
            "3m  7.24s   |         45 |            |            |      2.05967 |      2.51883\n",
            "3m  8.52s   |         45 |          0 |    1.68498 |              |             \n",
            "3m  9.00s   |         45 |        110 |    1.53835 |              |             \n",
            "3m 10.00s   |         45 |        299 |    1.95497 |              |             \n",
            "3m 11.00s   |         45 |        471 |    2.02763 |              |             \n",
            "3m 11.71s   |         45 |        599 |    1.98856 |              |             \n",
            "3m 11.71s   |         46 |            |            |      1.98395 |      2.43387\n",
            "3m 12.98s   |         46 |          0 |    1.95154 |              |             \n",
            "3m 13.00s   |         46 |          4 |    2.12802 |              |             \n",
            "3m 14.00s   |         46 |        229 |    2.10566 |              |             \n",
            "3m 15.00s   |         46 |        446 |    2.05668 |              |             \n",
            "3m 15.69s   |         46 |        599 |    2.31940 |              |             \n",
            "3m 15.70s   |         47 |            |            |      1.98279 |      2.46649\n",
            "3m 16.96s   |         47 |          0 |    1.85867 |              |             \n",
            "3m 17.00s   |         47 |         11 |    1.94604 |              |             \n",
            "3m 18.00s   |         47 |        238 |    2.28480 |              |             \n",
            "3m 19.00s   |         47 |        464 |    2.07580 |              |             \n",
            "3m 19.59s   |         47 |        599 |    1.85365 |              |             \n",
            "3m 19.59s   |         48 |            |            |      2.00737 |      2.48497\n",
            "3m 20.89s   |         48 |          0 |    2.35296 |              |             \n",
            "3m 21.00s   |         48 |         27 |    1.56430 |              |             \n",
            "3m 22.00s   |         48 |        211 |    1.79985 |              |             \n",
            "3m 23.00s   |         48 |        380 |    1.84295 |              |             \n",
            "3m 24.00s   |         48 |        587 |    2.17598 |              |             \n",
            "3m 24.07s   |         48 |        599 |    2.01229 |              |             \n",
            "3m 24.07s   |         49 |            |            |      1.91537 |      2.40411\n",
            "3m 25.38s   |         49 |          0 |    1.81484 |              |             \n",
            "3m 26.00s   |         49 |        138 |    1.69582 |              |             \n",
            "3m 27.00s   |         49 |        363 |    1.68156 |              |             \n",
            "3m 28.00s   |         49 |        581 |    2.22126 |              |             \n",
            "3m 28.09s   |         49 |        599 |    1.91126 |              |             \n",
            "3m 28.09s   |         50 |            |            |      1.86297 |      2.36861\n",
            "3m 29.38s   |         50 |          0 |    1.72861 |              |             \n",
            "3m 30.00s   |         50 |        142 |    1.87289 |              |             \n",
            "3m 31.00s   |         50 |        367 |    1.86445 |              |             \n",
            "3m 32.00s   |         50 |        585 |    2.63428 |              |             \n",
            "3m 32.07s   |         50 |        599 |    1.95858 |              |             \n",
            "3m 32.07s   |         51 |            |            |      1.84539 |      2.35439\n",
            "3m 33.40s   |         51 |          0 |    1.89874 |              |             \n",
            "3m 34.00s   |         51 |        102 |    1.67771 |              |             \n",
            "3m 35.00s   |         51 |        267 |    2.05879 |              |             \n",
            "3m 36.00s   |         51 |        466 |    2.04750 |              |             \n",
            "3m 36.60s   |         51 |        599 |    1.33957 |              |             \n",
            "3m 36.61s   |         52 |            |            |      1.80628 |      2.33264\n",
            "3m 37.86s   |         52 |          0 |    1.44554 |              |             \n",
            "3m 38.00s   |         52 |         32 |    1.94613 |              |             \n",
            "3m 39.00s   |         52 |        257 |    2.12193 |              |             \n",
            "3m 40.00s   |         52 |        482 |    1.95219 |              |             \n",
            "3m 40.51s   |         52 |        599 |    2.05225 |              |             \n",
            "3m 40.51s   |         53 |            |            |      1.75122 |      2.27804\n",
            "3m 41.79s   |         53 |          0 |    1.36830 |              |             \n",
            "3m 42.00s   |         53 |         50 |    1.95635 |              |             \n",
            "3m 43.00s   |         53 |        277 |    1.78888 |              |             \n",
            "3m 44.00s   |         53 |        499 |    1.65958 |              |             \n",
            "3m 44.43s   |         53 |        599 |    2.13049 |              |             \n",
            "3m 44.44s   |         54 |            |            |      1.88974 |      2.40195\n",
            "3m 46.00s   |         54 |          0 |    2.09057 |              |             \n",
            "3m 46.00s   |         54 |          1 |    1.80784 |              |             \n",
            "3m 47.00s   |         54 |        168 |    1.89976 |              |             \n",
            "3m 48.00s   |         54 |        373 |    2.06216 |              |             \n",
            "3m 49.00s   |         54 |        598 |    2.16064 |              |             \n",
            "3m 49.01s   |         54 |        599 |    2.11722 |              |             \n",
            "3m 49.01s   |         55 |            |            |      1.75966 |      2.27428\n",
            "3m 50.27s   |         55 |          0 |    1.78116 |              |             \n",
            "3m 51.00s   |         55 |        168 |    1.77427 |              |             \n",
            "3m 52.00s   |         55 |        396 |    1.78899 |              |             \n",
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            "4m  0.00s   |         57 |        274 |    1.71940 |              |             \n",
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            "4m 22.68s   |         63 |            |            |      1.58400 |      2.21260\n",
            "4m 24.16s   |         63 |          0 |    1.48397 |              |             \n",
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            "4m 26.86s   |         64 |            |            |      1.59412 |      2.20120\n",
            "4m 28.16s   |         64 |          0 |    1.57414 |              |             \n",
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            "6m 17.85s   |         91 |            |            |      1.24198 |      2.06954\n",
            "6m 19.11s   |         91 |          0 |    0.98418 |              |             \n",
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            "6m 22.26s   |         92 |            |            |      1.23370 |      2.06439\n",
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            "6m 27.50s   |         93 |          0 |    1.52936 |              |             \n",
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            "6m 30.23s   |         94 |            |            |      1.22787 |      2.06425\n",
            "6m 31.51s   |         94 |          0 |    1.44656 |              |             \n",
            "6m 32.00s   |         94 |        109 |    1.10280 |              |             \n",
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            "6m 34.01s   |         94 |        457 |    1.03709 |              |             \n",
            "6m 34.68s   |         94 |        599 |    1.23780 |              |             \n",
            "6m 34.68s   |         95 |            |            |      1.22850 |      2.06298\n",
            "6m 35.94s   |         95 |          0 |    1.55793 |              |             \n",
            "6m 36.00s   |         95 |         15 |    1.12357 |              |             \n",
            "6m 37.00s   |         95 |        245 |    1.19911 |              |             \n",
            "6m 38.00s   |         95 |        476 |    1.73699 |              |             \n",
            "6m 38.54s   |         95 |        599 |    1.21267 |              |             \n",
            "6m 38.54s   |         96 |            |            |      1.22470 |      2.06089\n",
            "6m 39.82s   |         96 |          0 |    1.24551 |              |             \n",
            "6m 40.00s   |         96 |         42 |    1.09866 |              |             \n",
            "6m 41.00s   |         96 |        265 |    0.95767 |              |             \n",
            "6m 42.00s   |         96 |        491 |    0.96227 |              |             \n",
            "6m 42.48s   |         96 |        599 |    1.43084 |              |             \n",
            "6m 42.48s   |         97 |            |            |      1.22206 |      2.06149\n",
            "6m 43.79s   |         97 |          0 |    1.20831 |              |             \n",
            "6m 44.00s   |         97 |         47 |    1.40440 |              |             \n",
            "6m 45.00s   |         97 |        216 |    1.41368 |              |             \n",
            "6m 46.01s   |         97 |        382 |    1.37240 |              |             \n",
            "6m 46.98s   |         97 |        599 |    1.14356 |              |             \n",
            "6m 46.98s   |         98 |            |            |      1.22100 |      2.06205\n",
            "6m 48.25s   |         98 |          0 |    1.17438 |              |             \n",
            "6m 49.00s   |         98 |        170 |    1.36868 |              |             \n",
            "6m 50.00s   |         98 |        398 |    1.18793 |              |             \n",
            "6m 50.89s   |         98 |        599 |    1.53027 |              |             \n",
            "6m 50.89s   |         99 |            |            |      1.21906 |      2.06358\n",
            "6m 52.15s   |         99 |          0 |    1.23696 |              |             \n",
            "6m 53.00s   |         99 |        191 |    1.00485 |              |             \n",
            "6m 54.00s   |         99 |        418 |    1.30604 |              |             \n",
            "6m 54.80s   |         99 |        599 |    1.27969 |              |             \n",
            "6m 54.80s   |        100 |            |            |      1.21829 |      2.06104\n",
            "Saving in \"results/train/DeepSetToSet_PartsToChars/cmd.txt\"\n",
            "Saving in \"results/train/DeepSetToSet_PartsToChars/args.json\"\n",
            "Saving in \"results/train/DeepSetToSet_PartsToChars/metrics.json\"\n",
            "Saving in \"results/train/DeepSetToSet_PartsToChars/metrics.png\"\n",
            "Saving in \"results/train/DeepSetToSet_PartsToChars/model.pth\"\n",
            "Saving in \"results/train/DeepSetToSet_PartsToChars/table.pkl\"\n",
            "--model_name DeepSetToSet_PartsToChars\n",
            "Final metrics = 1.21829 (train), 2.06104 (test)\n",
            "Time taken for `train` = 6 minutes 58.15 seconds\n"
          ]
        }
      ],
      "source": [
        "# DeepSetToSet, PartsToChars\n",
        "!syndacate train \\\n",
        "  --dataset PartsToChars \\\n",
        "  --model DeepSetToSet \\\n",
        "  --model.DeepSetToSet.depth 5 \\\n",
        "  --trainer.BpSp.epochs 100 \\\n",
        "  --devices 0 \\\n",
        "  --model_name DeepSetToSet_PartsToChars"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "6JpTiBfrzikV",
        "outputId": "fb25af3a-e083-47cd-dbda-94687c41cddd"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Loading from \"results/train/DeepSetToSet_PartsToChars/args.json\"\n",
            "cli: PartsToChars()\n",
            "Loading from \"./data/syndacate_aTfTh100n70000o3p12rTs3u10w100.npz\"\n",
            "cli: Identity()\n",
            "cli: Identity()\n",
            "cli: DeepSetToSet(depth=5, embedder=Identity(num_params=0), hidden_dim=100, input_shape=[70000, 25, 6], output_shape=[70000, 25, 18], pooler=Identity(num_params=0))\n",
            "Loading from \"results/train/DeepSetToSet_PartsToChars/model.pth\"\n",
            "Saving in \"results/train/DeepSetToSet_PartsToChars/char_predictions.png\"\n",
            "Time taken for `plotcharpredictions` = 4.2088 seconds\n"
          ]
        },
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "!syndacate plotcharpredictions --model_name DeepSetToSet_PartsToChars\n",
        "from jutility import plotting\n",
        "plotting.show_ipython(\"results/train/DeepSetToSet_PartsToChars/char_predictions.png\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "fMp7FHeAV9vo",
        "outputId": "b5206f01-9c5b-4f61-b9a0-fb9108b178c2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cli: PartsToClass()\n",
            "Loading from \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\"\n",
            "cli: Identity()\n",
            "cli: SetAverage()\n",
            "cli: SetTransformer(depth=5, embedder=Identity(num_params=0), expand_ratio=2.0, heads=8, input_shape=[70000, 9, 6], model_dim=64, output_shape=[10], pooler=SetAverage(num_params=0))\n",
            "cli: CrossEntropy()\n",
            "cli: Adam(lr=0.001, params=<generator object Module.parameters at 0x7df106604e40>)\n",
            "Time        | Step       | Epoch      | Batch      | Batch loss | Train metric | Test metric \n",
            "----------- | ---------- | ---------- | ---------- | ---------- | ------------ | ------------\n",
            "0.0070s     |          0 |          0 |            |            |      0.09000 |      0.09280\n",
            "0.6498s     |          0 |          0 |          0 |    2.34294 |              |             \n",
            "1.0092s     |         30 |         10 |          0 |    2.17772 |              |             \n",
            "2.0097s     |        112 |         37 |          1 |    0.59361 |              |             \n",
            "3.0026s     |        195 |         65 |          0 |    0.23935 |              |             \n",
            "4.0001s     |        279 |         93 |          0 |    0.22125 |              |             \n",
            "5.0065s     |        363 |        121 |          0 |    0.06862 |              |             \n",
            "6.0110s     |        447 |        149 |          0 |    0.00468 |              |             \n",
            "7.0070s     |        532 |        177 |          1 |    0.00101 |              |             \n",
            "8.0024s     |        616 |        205 |          1 |    0.00044 |              |             \n",
            "9.0020s     |        688 |        229 |          1 |    0.00047 |              |             \n",
            "10.0090s    |        751 |        250 |          1 |    0.00024 |              |             \n",
            "11.0074s    |        821 |        273 |          2 |    0.00013 |              |             \n",
            "12.0028s    |        905 |        301 |          2 |    0.00011 |              |             \n",
            "13.0065s    |        991 |        330 |          1 |    0.00012 |              |             \n",
            "14.0033s    |       1075 |        358 |          1 |    0.00005 |              |             \n",
            "15.0006s    |       1156 |        385 |          1 |    0.00006 |              |             \n",
            "16.0069s    |       1241 |        413 |          2 |    0.00005 |              |             \n",
            "17.0004s    |       1323 |        441 |          0 |    0.00004 |              |             \n",
            "18.0046s    |       1403 |        467 |          2 |    0.00004 |              |             \n",
            "19.0034s    |       1486 |        495 |          1 |    0.00002 |              |             \n",
            "20.0014s    |       1571 |        523 |          2 |    0.00002 |              |             \n",
            "21.0163s    |       1640 |        546 |          2 |    0.00002 |              |             \n",
            "22.0163s    |       1699 |        566 |          1 |    0.00002 |              |             \n",
            "23.0024s    |       1772 |        590 |          2 |    0.00001 |              |             \n",
            "24.0110s    |       1855 |        618 |          1 |    0.00002 |              |             \n",
            "25.0095s    |       1939 |        646 |          1 |    0.00002 |              |             \n",
            "26.0053s    |       2024 |        674 |          2 |    0.00002 |              |             \n",
            "27.0080s    |       2109 |        703 |          0 |    0.00002 |              |             \n",
            "28.0026s    |       2192 |        730 |          2 |    0.00001 |              |             \n",
            "29.0040s    |       2277 |        759 |          0 |    0.00001 |              |             \n",
            "30.0105s    |       2363 |        787 |          2 |    0.00001 |              |             \n",
            "31.0050s    |       2447 |        815 |          2 |    0.00001 |              |             \n",
            "32.0001s    |       2531 |        843 |          2 |    0.00001 |              |             \n",
            "33.0043s    |       2597 |        865 |          2 |    0.00001 |              |             \n",
            "34.0174s    |       2657 |        885 |          2 |    0.00001 |              |             \n",
            "35.0096s    |       2735 |        911 |          2 |    0.00001 |              |             \n",
            "36.0094s    |       2819 |        939 |          2 |    0.00001 |              |             \n",
            "37.0088s    |       2902 |        967 |          1 |    0.00001 |              |             \n",
            "38.0007s    |       2985 |        995 |          0 |    0.00001 |              |             \n",
            "39.0056s    |       3070 |       1023 |          1 |    0.00001 |              |             \n",
            "40.0043s    |       3154 |       1051 |          1 |    0.00001 |              |             \n",
            "41.0079s    |       3236 |       1078 |          2 |    0.00001 |              |             \n",
            "42.0077s    |       3320 |       1106 |          2 |    0.00001 |              |             \n",
            "43.0114s    |       3404 |       1134 |          2 |    0.00001 |              |             \n",
            "44.0033s    |       3488 |       1162 |          2 |    0.00001 |              |             \n",
            "45.0032s    |       3550 |       1183 |          1 |    0.00001 |              |             \n",
            "46.0074s    |       3609 |       1203 |          0 |    0.00000 |              |             \n",
            "47.0060s    |       3693 |       1231 |          0 |    0.00000 |              |             \n",
            "48.0111s    |       3774 |       1258 |          0 |    0.00000 |              |             \n",
            "49.0055s    |       3858 |       1286 |          0 |    0.00001 |              |             \n",
            "50.0105s    |       3942 |       1314 |          0 |    0.00000 |              |             \n",
            "51.0092s    |       4026 |       1342 |          0 |    0.00001 |              |             \n",
            "52.0058s    |       4110 |       1370 |          0 |    0.00000 |              |             \n",
            "53.0070s    |       4196 |       1398 |          2 |    0.00000 |              |             \n",
            "54.0098s    |       4280 |       1426 |          2 |    0.00001 |              |             \n",
            "55.0088s    |       4365 |       1455 |          0 |    0.00000 |              |             \n",
            "56.0010s    |       4450 |       1483 |          1 |    0.00000 |              |             \n",
            "57.0086s    |       4511 |       1503 |          2 |    0.00000 |              |             \n",
            "58.0080s    |       4572 |       1524 |          0 |    0.00000 |              |             \n",
            "59.0041s    |       4656 |       1552 |          0 |    0.00000 |              |             \n",
            "1m  0.00s   |       4740 |       1580 |          0 |    0.00000 |              |             \n",
            "1m  1.00s   |       4822 |       1607 |          1 |    0.00000 |              |             \n",
            "1m  2.00s   |       4905 |       1635 |          0 |    0.00000 |              |             \n",
            "1m  3.00s   |       4989 |       1663 |          0 |    0.00000 |              |             \n",
            "1m  3.12s   |       5000 |       1666 |            |            |      1.00000 |      0.92800\n",
            "Saving in \"results/train/dPCL_lC_mSd5eIh8m64pSEx2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/cmd.txt\"\n",
            "Saving in \"results/train/dPCL_lC_mSd5eIh8m64pSEx2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/args.json\"\n",
            "Saving in \"results/train/dPCL_lC_mSd5eIh8m64pSEx2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.json\"\n",
            "Saving in \"results/train/dPCL_lC_mSd5eIh8m64pSEx2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.png\"\n",
            "--model_name dPCL_lC_mSd5eIh8m64pSEx2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0\n",
            "Final metrics = 1.00000 (train), 0.92800 (test)\n",
            "Time taken for `train` = 1 minutes  4.24 seconds\n"
          ]
        }
      ],
      "source": [
        "# SetTransformer, PartsToClass\n",
        "!syndacate train \\\n",
        "  --dataset PartsToClass \\\n",
        "  --model SetTransformer \\\n",
        "  --model.SetTransformer.pooler SetAverage \\\n",
        "  --model.SetTransformer.depth 5 \\\n",
        "  --trainer BpSpDe \\\n",
        "  --trainer.BpSpDe.n_train 300 \\\n",
        "  --trainer.BpSpDe.steps 5000 \\\n",
        "  --devices 0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "kYVtf3rkXsop",
        "outputId": "def4b50f-ad49-4695-d4e4-c4ad2cbf3997"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cli: PartsToClass()\n",
            "Loading from \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\"\n",
            "cli: Flatten(n=2)\n",
            "cli: Identity()\n",
            "cli: RzMlp(depth=5, embedder=Flatten(num_params=0), expand_ratio=2.0, input_shape=[70000, 9, 6], model_dim=100, output_shape=[10], pooler=Identity(num_params=0))\n",
            "cli: CrossEntropy()\n",
            "cli: Adam(lr=0.001, params=<generator object Module.parameters at 0x791467edce40>)\n",
            "Time        | Step       | Epoch      | Batch      | Batch loss | Train metric | Test metric \n",
            "----------- | ---------- | ---------- | ---------- | ---------- | ------------ | ------------\n",
            "0.0099s     |          0 |          0 |            |            |      0.11000 |      0.09330\n",
            "0.4410s     |          0 |          0 |          0 |    3.18158 |              |             \n",
            "1.0055s     |         95 |         31 |          2 |    0.53057 |              |             \n",
            "2.0013s     |        344 |        114 |          2 |    0.00054 |              |             \n",
            "3.0014s     |        599 |        199 |          2 |    0.00013 |              |             \n",
            "4.0033s     |        852 |        284 |          0 |    0.00005 |              |             \n",
            "5.0028s     |       1096 |        365 |          1 |    0.00004 |              |             \n",
            "6.0023s     |       1343 |        447 |          2 |    0.00003 |              |             \n",
            "7.0027s     |       1596 |        532 |          0 |    0.00002 |              |             \n",
            "8.0013s     |       1848 |        616 |          0 |    0.00001 |              |             \n",
            "9.0015s     |       2087 |        695 |          2 |    0.00001 |              |             \n",
            "10.0040s    |       2340 |        780 |          0 |    0.00001 |              |             \n",
            "11.0021s    |       2597 |        865 |          2 |    0.00001 |              |             \n",
            "12.0020s    |       2785 |        928 |          1 |    0.00000 |              |             \n",
            "13.0028s    |       2970 |        990 |          0 |    0.00000 |              |             \n",
            "14.0017s    |       3224 |       1074 |          2 |    0.00000 |              |             \n",
            "15.0005s    |       3475 |       1158 |          1 |    0.00000 |              |             \n",
            "16.0047s    |       3691 |       1230 |          1 |    0.00000 |              |             \n",
            "17.0030s    |       3880 |       1293 |          1 |    0.00000 |              |             \n",
            "18.0029s    |       4096 |       1365 |          1 |    0.00000 |              |             \n",
            "19.0010s    |       4348 |       1449 |          1 |    0.00000 |              |             \n",
            "20.0021s    |       4601 |       1533 |          2 |    0.00000 |              |             \n",
            "21.0026s    |       4853 |       1617 |          2 |    0.00000 |              |             \n",
            "21.5744s    |       5000 |       1666 |            |            |      1.00000 |      0.37500\n",
            "Saving in \"results/train/dPCL_lC_mRZMd5eFen2m100pIx2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/cmd.txt\"\n",
            "Saving in \"results/train/dPCL_lC_mRZMd5eFen2m100pIx2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/args.json\"\n",
            "Saving in \"results/train/dPCL_lC_mRZMd5eFen2m100pIx2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.json\"\n",
            "Saving in \"results/train/dPCL_lC_mRZMd5eFen2m100pIx2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0/metrics.png\"\n",
            "--model_name dPCL_lC_mRZMd5eFen2m100pIx2.0_tBSDb100lCle1E-05n300oAol0.001s5000_s0\n",
            "Final metrics = 1.00000 (train), 0.37500 (test)\n",
            "Time taken for `train` = 22.4869 seconds\n"
          ]
        }
      ],
      "source": [
        "# MLP (flat), PartsToClass\n",
        "!syndacate train \\\n",
        "  --dataset PartsToClass \\\n",
        "  --model RzMlp \\\n",
        "  --model.RzMlp.embedder Flatten \\\n",
        "  --model.RzMlp.embedder.Flatten.n 2 \\\n",
        "  --model.RzMlp.depth 5 \\\n",
        "  --trainer BpSpDe \\\n",
        "  --trainer.BpSpDe.n_train 300 \\\n",
        "  --trainer.BpSpDe.steps 5000 \\\n",
        "  --devices 0"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true
        },
        "id": "WFJLiW-iXvQo",
        "outputId": "32599cf8-5ff6-425d-8f2f-972f0c1c0df2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cli: PartsToClass()\n",
            "Loading from \"./data/syndacate_aFfTh100n70000o1p4rTs1u10w100.npz\"\n",
            "cli: Flatten(n=2)\n",
            "cli: Identity()\n",
            "cli: RzMlp(depth=5, embedder=Flatten(num_params=0), expand_ratio=2.0, input_shape=[70000, 9, 6], model_dim=100, output_shape=[10], pooler=Identity(num_params=0))\n",
            "cli: CrossEntropy()\n",
            "cli: Adam(lr=0.001, params=<generator object Module.parameters at 0x78db7f040e40>)\n",
            "Time        | Step       | Epoch      | Batch      | Batch loss | Train metric | Test metric \n",
            "----------- | ---------- | ---------- | ---------- | ---------- | ------------ | ------------\n",
            "0.0068s     |          0 |          0 |            |            |      0.11000 |      0.09330\n",
            "0.3286s     |          0 |          0 |          0 |    3.18158 |              |             \n",
            "1.0013s     |        166 |         55 |          1 |    0.15532 |              |             \n",
            "2.0023s     |        423 |        141 |          0 |    0.00028 |              |             \n",
            "3.0039s     |        675 |        225 |          0 |    0.00013 |              |             \n",
            "4.0039s     |        927 |        309 |          0 |    0.00005 |              |             \n",
            "5.0018s     |       1176 |        392 |          0 |    0.00002 |              |             \n",
            "6.0007s     |       1431 |        477 |          0 |    0.00001 |              |             \n",
            "7.0046s     |       1686 |        562 |          0 |    0.00002 |              |             \n",
            "8.0020s     |       1903 |        634 |          1 |    0.00001 |              |             \n",
            "9.0020s     |       2098 |        699 |          1 |    0.00001 |              |             \n",
            "10.0014s    |       2317 |        772 |          1 |    0.00001 |              |             \n",
            "11.0014s    |       2573 |        857 |          2 |    0.00000 |              |             \n",
            "12.0046s    |       2823 |        941 |          0 |    0.00000 |              |             \n",
            "13.0036s    |       3081 |       1027 |          0 |    0.00000 |              |             \n",
            "14.0024s    |       3335 |       1111 |          2 |    0.00000 |              |             \n",
            "15.0013s    |       3586 |       1195 |          1 |    0.00000 |              |             \n",
            "16.0020s    |       3844 |       1281 |          1 |    0.00000 |              |             \n",
            "17.0036s    |       4100 |       1366 |          2 |    0.00000 |              |             \n",
            "18.0028s    |       4354 |       1451 |          1 |    0.00000 |              |             \n",
            "19.0030s    |       4609 |       1536 |          1 |    0.00000 |              |             \n",
            "20.0003s    |       4818 |       1606 |          0 |    0.00000 |              |             \n",
            "21.0008s    |       5008 |       1669 |          1 |    0.00000 |              |             \n",
            "22.0007s    |       5244 |       1748 |          0 |    0.00000 |              |             \n",
            "23.0013s    |       5500 |       1833 |          1 |    0.00000 |              |             \n",
            "24.0007s    |       5755 |       1918 |          1 |    0.00000 |              |             \n",
            "25.0013s    |       6011 |       2003 |          2 |    0.00000 |              |             \n",
            "26.0039s    |       6266 |       2088 |          2 |    0.00000 |              |             \n",
            "27.0013s    |       6516 |       2172 |          0 |    0.00000 |              |             \n",
            "28.0027s    |       6769 |       2256 |          1 |    0.00000 |              |             \n",
            "29.0003s    |       7022 |       2340 |          2 |    0.00000 |              |             \n",
            "30.0029s    |       7277 |       2425 |          2 |    0.00000 |              |             \n",
            "31.0017s    |       7532 |       2510 |          2 |    0.00000 |              |             \n",
            "32.0038s    |       7735 |       2578 |          1 |    0.00000 |              |             \n",
            "33.0008s    |       7923 |       2641 |          0 |    0.00000 |              |             \n",
            "34.0030s    |       8165 |       2721 |          2 |    0.00000 |              |             \n",
            "35.0017s    |       8424 |       2808 |          0 |    0.00000 |              |             \n",
            "36.0017s    |       8679 |       2893 |          0 |    0.00000 |              |             \n",
            "37.0013s    |       8935 |       2978 |          1 |    0.00000 |              |             \n",
            "38.0032s    |       9195 |       3065 |          0 |    0.00000 |              |             \n",
            "39.0036s    |       9452 |       3150 |          2 |    0.00000 |              |             \n",
            "40.0034s    |       9707 |       3235 |          2 |    0.00000 |              |             \n",
            "41.0009s    |       9961 |       3320 |          1 |    0.00000 |              |             \n",
            "42.0030s    |      10213 |       3404 |          1 |    0.00000 |              |             \n",
            "43.0008s    |      10465 |       3488 |          1 |    0.00000 |              |             \n",
            "44.0021s    |      10660 |       3553 |          1 |    0.00000 |              |             \n",
            "45.0047s    |      10844 |       3614 |          2 |    0.00000 |              |             \n",
            "46.0018s    |      11096 |       3698 |          2 |    0.00000 |              |             \n",
            "47.0018s    |      11352 |       3784 |          0 |    0.00000 |              |             \n",
            "48.0012s    |      11603 |       3867 |          2 |    0.00000 |              |             \n",
            "49.0011s    |      11857 |       3952 |          1 |    0.00000 |              |             \n",
            "50.0010s    |      12112 |       4037 |          1 |    0.00000 |              |             \n",
            "51.0028s    |      12368 |       4122 |          2 |    0.00000 |              |             \n",
            "52.0008s    |      12623 |       4207 |          2 |    0.00000 |              |             \n",
            "53.0017s    |      12880 |       4293 |          1 |    0.00000 |              |             \n",
            "54.0037s    |      13139 |       4379 |          2 |    0.00000 |              |             \n",
            "55.0015s    |      13395 |       4465 |          0 |    0.00000 |              |             \n",
            "56.0008s    |      13583 |       4527 |          2 |    0.00000 |              |             \n",
            "57.0023s    |      13768 |       4589 |          1 |    0.00000 |              |             \n",
            "58.0032s    |      14022 |       4674 |          0 |    0.00000 |              |             \n",
            "59.0003s    |      14278 |       4759 |          1 |    0.00000 |              |             \n",
            "1m  0.00s   |      14532 |       4844 |          0 |    0.00000 |              |             \n",
            "1m  1.00s   |      14792 |       4930 |          2 |    0.00000 |              |             \n",
            "1m  2.00s   |      15048 |       5016 |          0 |    0.00000 |              |             \n",
            "1m  3.00s   |      15301 |       5100 |          1 |    0.00000 |              |             \n",
            "1m  4.00s   |      15559 |       5186 |          1 |    0.00000 |              |             \n",
            "1m  5.00s   |      15814 |       5271 |          1 |    0.00000 |              |             \n",
            "1m  6.00s   |      16071 |       5357 |          0 |    0.00000 |              |             \n",
            "1m  7.00s   |      16318 |       5439 |          1 |    0.00000 |              |             \n",
            "1m  8.00s   |      16508 |       5502 |          2 |    0.00000 |              |             \n",
            "1m  9.00s   |      16700 |       5566 |          2 |    0.00000 |              |             \n",
            "1m 10.00s   |      16953 |       5651 |          0 |    0.00000 |              |             \n",
            "1m 11.00s   |      17206 |       5735 |          1 |    0.00000 |              |             \n",
            "1m 12.00s   |      17454 |       5818 |          0 |    0.00000 |              |             \n",
            "1m 13.00s   |      17710 |       5903 |          1 |    0.07382 |              |             \n",
            "1m 14.00s   |      17964 |       5988 |          0 |    0.00666 |              |             \n",
            "1m 15.00s   |      18218 |       6072 |          2 |    0.00191 |              |             \n",
            "1m 16.00s   |      18473 |       6157 |          2 |    0.00152 |              |             \n",
            "1m 17.00s   |      18730 |       6243 |          1 |    0.00104 |              |             \n",
            "1m 18.00s   |      18984 |       6328 |          0 |    0.00058 |              |             \n",
            "1m 19.00s   |      19221 |       6407 |          0 |    0.00036 |              |             \n",
            "1m 20.00s   |      19409 |       6469 |          2 |    0.00032 |              |             \n",
            "1m 21.00s   |      19603 |       6534 |          1 |    0.00021 |              |             \n",
            "1m 22.00s   |      19857 |       6619 |          0 |    0.00021 |              |             \n",
            "1m 23.00s   |      20110 |       6703 |          1 |    0.00014 |              |             \n",
            "1m 24.00s   |      20366 |       6788 |          2 |    0.00013 |              |             \n",
            "1m 25.00s   |      20621 |       6873 |          2 |    0.00012 |              |             \n",
            "1m 26.00s   |      20876 |       6958 |          2 |    0.00007 |              |             \n",
            "1m 27.00s   |      21131 |       7043 |          2 |    0.00006 |              |             \n",
            "1m 28.00s   |      21387 |       7129 |          0 |    0.00005 |              |             \n",
            "1m 29.00s   |      21641 |       7213 |          2 |    0.00004 |              |             \n",
            "1m 30.00s   |      21897 |       7299 |          0 |    0.00005 |              |             \n",
            "1m 31.00s   |      22130 |       7376 |          2 |    0.00002 |              |             \n",
            "1m 32.00s   |      22325 |       7441 |          2 |    0.00003 |              |             \n",
            "1m 33.00s   |      22525 |       7508 |          1 |    0.00002 |              |             \n",
            "1m 34.00s   |      22780 |       7593 |          1 |    0.00002 |              |             \n",
            "1m 35.00s   |      23037 |       7679 |          0 |    0.00002 |              |             \n",
            "1m 36.00s   |      23292 |       7764 |          0 |    0.00001 |              |             \n",
            "1m 37.00s   |      23542 |       7847 |          1 |    0.00001 |              |             \n",
            "1m 38.00s   |      23795 |       7931 |          2 |    0.00001 |              |             \n",
            "1m 39.00s   |      24052 |       8017 |          1 |    0.00001 |              |             \n",
            "1m 40.00s   |      24310 |       8103 |          1 |    0.00001 |              |             \n",
            "1m 41.00s   |      24570 |       8190 |          0 |    0.00001 |              |             \n",
            "1m 42.00s   |      24819 |       8273 |          0 |    0.00001 |              |             \n",
            "1m 43.00s   |      25039 |       8346 |          1 |    0.00001 |              |             \n",
            "1m 44.00s   |      25231 |       8410 |          1 |    0.00001 |              |             \n",
            "1m 45.00s   |      25442 |       8480 |          2 |    0.00000 |              |             \n",
            "1m 46.00s   |      25697 |       8565 |          2 |    0.00000 |              |             \n",
            "1m 47.00s   |      25952 |       8650 |          2 |    0.00000 |              |             \n",
            "1m 48.00s   |      26210 |       8736 |          2 |    0.00000 |              |             \n",
            "1m 49.00s   |      26465 |       8821 |          2 |    0.00000 |              |             \n",
            "1m 50.00s   |      26721 |       8907 |          0 |    0.00000 |              |             \n",
            "1m 51.00s   |      26974 |       8991 |          1 |    0.00000 |              |             \n",
            "1m 52.00s   |      27227 |       9075 |          2 |    0.00000 |              |             \n",
            "1m 53.00s   |      27479 |       9159 |          2 |    0.00000 |              |             \n",
            "1m 54.00s   |      27737 |       9245 |          2 |    0.00000 |              |             \n",
            "1m 55.00s   |      27956 |       9318 |          2 |    0.00000 |              |             \n",
            "1m 56.00s   |      28153 |       9384 |          1 |    0.00000 |              |             \n",
            "1m 57.00s   |      28374 |       9458 |          0 |    0.00000 |              |             \n",
            "1m 58.00s   |      28630 |       9543 |          1 |    0.00000 |              |             \n",
            "1m 59.00s   |      28885 |       9628 |          1 |    0.00000 |              |             \n",
            "2m  0.00s   |      29140 |       9713 |          1 |    0.00000 |              |             \n",
            "2m  1.00s   |      29395 |       9798 |          1 |    0.00000 |              |             \n",
            "2m  2.00s   |      29652 |       9884 |          0 |    0.00000 |              |             \n",
            "2m  3.00s   |      29905 |       9968 |          1 |    0.00000 |              |             \n",
            "2m  4.00s   |      30158 |      10052 |          2 |    0.00000 |              |             \n",
            "2m  5.00s   |      30411 |      10137 |          0 |    0.00000 |              |             \n",
            "2m  6.00s   |      30659 |      10219 |          2 |    0.00000 |              |             \n",
            "2m  7.00s   |      30866 |      10288 |          2 |    0.00000 |              |             \n",
            "2m  8.00s   |      31055 |      10351 |          2 |    0.00000 |              |             \n",
            "2m  9.00s   |      31283 |      10427 |          2 |    0.00000 |              |             \n",
            "2m 10.00s   |      31537 |      10512 |          1 |    0.00000 |              |             \n",
            "2m 11.00s   |      31788 |      10596 |          0 |    0.00000 |              |             \n",
            "2m 12.00s   |      32033 |      10677 |          2 |    0.00000 |              |             \n",
            "2m 13.00s   |      32283 |      10761 |          0 |    0.00000 |              |             \n",
            "2m 14.00s   |      32528 |      10842 |          2 |    0.00000 |              |             \n",
            "2m 15.00s   |      32783 |      10927 |          2 |    0.00000 |              |             \n",
            "2m 16.00s   |      33039 |      11013 |          0 |    0.00000 |              |             \n",
            "2m 17.00s   |      33290 |      11096 |          2 |    0.00000 |              |             \n",
            "2m 18.00s   |      33538 |      11179 |          1 |    0.00000 |              |             \n",
            "2m 19.00s   |      33737 |      11245 |          2 |    0.00000 |              |             \n",
            "2m 20.00s   |      33925 |      11308 |          1 |    0.00000 |              |             \n",
            "2m 21.00s   |      34167 |      11389 |          0 |    0.00000 |              |             \n",
            "2m 22.00s   |      34422 |      11474 |          0 |    0.00000 |              |             \n",
            "2m 23.00s   |      34674 |      11558 |          0 |    0.00000 |              |             \n",
            "2m 24.00s   |      34929 |      11643 |          0 |    0.00000 |              |             \n",
            "2m 25.00s   |      35184 |      11728 |          0 |    0.00000 |              |             \n",
            "2m 26.00s   |      35438 |      11812 |          2 |    0.00000 |              |             \n",
            "2m 27.00s   |      35695 |      11898 |          1 |    0.00000 |              |             \n",
            "2m 28.00s   |      35948 |      11982 |          2 |    0.00000 |              |             \n",
            "2m 29.00s   |      36204 |      12068 |          0 |    0.00000 |              |             \n",
            "2m 30.00s   |      36462 |      12154 |          0 |    0.00000 |              |             \n",
            "2m 31.00s   |      36657 |      12219 |          0 |    0.00000 |              |             \n",
            "2m 32.00s   |      36839 |      12279 |          2 |    0.00000 |              |             \n",
            "2m 33.00s   |      37095 |      12365 |          0 |    0.00000 |              |             \n",
            "2m 34.00s   |      37352 |      12450 |          2 |    0.00000 |              |             \n",
            "2m 35.00s   |      37608 |      12536 |          0 |    0.00000 |              |             \n",
            "2m 36.00s   |      37865 |      12621 |          2 |    0.00000 |              |             \n",
            "2m 37.00s   |      38117 |      12705 |          2 |    0.00000 |              |             \n",
            "2m 38.00s   |      38374 |      12791 |          1 |    0.00000 |              |             \n",
            "2m 39.00s   |      38627 |      12875 |          2 |    0.00000 |              |             \n",
            "2m 40.00s   |      38884 |      12961 |          1 |    0.00000 |              |             \n",
            "2m 41.00s   |      39136 |      13045 |          1 |    0.00000 |              |             \n",
            "2m 42.00s   |      39388 |      13129 |          1 |    0.00000 |              |             \n",
            "2m 43.00s   |      39573 |      13191 |          0 |    0.00000 |              |             \n",
            "2m 44.00s   |      39758 |      13252 |          2 |    0.00000 |              |             \n",
            "2m 45.00s   |      40010 |      13336 |          2 |    0.00000 |              |             \n",
            "2m 46.00s   |      40265 |      13421 |          2 |    0.00000 |              |             \n",
            "2m 47.00s   |      40520 |      13506 |          2 |    0.00000 |              |             \n",
            "2m 48.00s   |      40771 |      13590 |          1 |    0.00000 |              |             \n",
            "2m 49.00s   |      41027 |      13675 |          2 |    0.00000 |              |             \n",
            "2m 50.00s   |      41280 |      13760 |          0 |    0.00000 |              |             \n",
            "2m 51.00s   |      41535 |      13845 |          0 |    0.00000 |              |             \n",
            "2m 52.00s   |      41789 |      13929 |          2 |    0.00000 |              |             \n",
            "2m 53.00s   |      42047 |      14015 |          2 |    0.00000 |              |             \n",
            "2m 54.01s   |      42294 |      14098 |          0 |    0.00000 |              |             \n",
            "2m 55.00s   |      42485 |      14161 |          2 |    0.00000 |              |             \n",
            "2m 56.00s   |      42679 |      14226 |          1 |    0.00000 |              |             \n",
            "2m 57.01s   |      42930 |      14310 |          0 |    0.00000 |              |             \n",
            "2m 58.00s   |      43190 |      14396 |          2 |    0.00000 |              |             \n",
            "2m 59.00s   |      43445 |      14481 |          2 |    0.00000 |              |             \n",
            "3m  0.00s   |      43700 |      14566 |          2 |    0.00000 |              |             \n",
            "3m  1.00s   |      43956 |      14652 |          0 |    0.00000 |              |             \n",
            "3m  2.00s   |      44211 |      14737 |          0 |    0.00000 |              |             \n",
            "3m  3.00s   |      44462 |      14820 |          2 |    0.00000 |              |             \n",
            "3m  4.00s   |      44715 |      14905 |          0 |    0.00000 |              |             \n",
            "3m  5.00s   |      44973 |      14991 |          0 |    0.00000 |              |             \n",
            "3m  6.01s   |      45206 |      15068 |          2 |    0.00000 |              |             \n",
            "3m  7.01s   |      45398 |      15132 |          2 |    0.00000 |              |             \n",
            "3m  8.00s   |      45601 |      15200 |          1 |    0.00000 |              |             \n",
            "3m  9.00s   |      45853 |      15284 |          1 |    0.00000 |              |             \n",
            "3m 10.00s   |      46109 |      15369 |          2 |    0.00000 |              |             \n",
            "3m 11.00s   |      46362 |      15454 |          0 |    0.00000 |              |             \n",
            "3m 12.00s   |      46614 |      15538 |          0 |    0.00000 |              |             \n",
            "3m 13.00s   |      46864 |      15621 |          1 |    0.00000 |              |             \n",
            "3m 14.00s   |      47120 |      15706 |          2 |    0.00000 |              |             \n",
            "3m 15.00s   |      47371 |      15790 |          1 |    0.00000 |              |             \n",
            "3m 16.00s   |      47626 |      15875 |          1 |    0.00000 |              |             \n",
            "3m 17.00s   |      47883 |      15961 |          0 |    0.00000 |              |             \n",
            "3m 18.00s   |      48105 |      16035 |          0 |    0.00000 |              |             \n",
            "3m 19.00s   |      48301 |      16100 |          1 |    0.00000 |              |             \n",
            "3m 20.00s   |      48515 |      16171 |          2 |    0.00000 |              |             \n",
            "3m 21.00s   |      48768 |      16256 |          0 |    0.00000 |              |             \n",
            "3m 22.00s   |      49022 |      16340 |          2 |    0.00000 |              |             \n",
            "3m 23.00s   |      49276 |      16425 |          1 |    0.00000 |              |             \n",
            "3m 24.00s   |      49531 |      16510 |          1 |    0.00000 |              |             \n",
            "3m 25.00s   |      49787 |      16595 |          2 |    0.00000 |              |             \n",
            "3m 25.83s   |      50000 |      16666 |            |            |      1.00000 |      0.36510\n",
            "Saving in \"results/train/dPCL_lC_mRZMd5eFen2m100pIx2.0_tBSDb100lCle1E-05n300oAol0.001s50000_s0/cmd.txt\"\n",
            "Saving in \"results/train/dPCL_lC_mRZMd5eFen2m100pIx2.0_tBSDb100lCle1E-05n300oAol0.001s50000_s0/args.json\"\n",
            "Saving in \"results/train/dPCL_lC_mRZMd5eFen2m100pIx2.0_tBSDb100lCle1E-05n300oAol0.001s50000_s0/metrics.json\"\n",
            "Saving in \"results/train/dPCL_lC_mRZMd5eFen2m100pIx2.0_tBSDb100lCle1E-05n300oAol0.001s50000_s0/metrics.png\"\n",
            "--model_name dPCL_lC_mRZMd5eFen2m100pIx2.0_tBSDb100lCle1E-05n300oAol0.001s50000_s0\n",
            "Final metrics = 1.00000 (train), 0.36510 (test)\n",
            "Time taken for `train` = 3 minutes 26.70 seconds\n"
          ]
        }
      ],
      "source": [
        "# MLP (flat, 50k gradient steps), PartsToClass\n",
        "!syndacate train \\\n",
        "  --dataset PartsToClass \\\n",
        "  --model RzMlp \\\n",
        "  --model.RzMlp.embedder Flatten \\\n",
        "  --model.RzMlp.embedder.Flatten.n 2 \\\n",
        "  --model.RzMlp.depth 5 \\\n",
        "  --trainer BpSpDe \\\n",
        "  --trainer.BpSpDe.n_train 300 \\\n",
        "  --trainer.BpSpDe.steps 50000 \\\n",
        "  --devices 0"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}