2021_09_24-Ha-Pyro_Showcase.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "10MinsFame",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KamXyEPm3az-"
      },
      "source": [
        "Website: https://pyro.ai\n",
        "\n",
        "'Pyro is a universal **probabilistic programming language** (PPL) written in Python and supported by PyTorch on the backend. Pyro enables flexible and expressive **deep probabilistic modeling**, unifying the best of modern **deep learning** and **Bayesian modeling**'\n",
        "\n",
        "If you are looking to use deep probabilistic modelling (VAE, Deep Markov Model,...) or look for a framework to develop your own probabilistic model, you might be interested in this.\n",
        "\n",
        "Applications: Deep Generative Models, Time Series, Gaussian Process, Epidemiology. \n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6NZA3ckt2Ze_"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "%cd /content/drive/My Drive/Colab Notebooks\n",
        "\n",
        "!pip3 install pyro-ppl\n",
        "!pip3 install scanpy\n",
        "!pip3 install scvi-tools"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5uTUBsHoB_Vl"
      },
      "source": [
        "**Example 1: Single Cell RNA Sequencing Analysis with VAEs**\n",
        "\n",
        "'We use a semi-supervised deep generative model of transcriptomics data to propagate labels\n",
        "from a small set of labeled cells to a larger set of unlabeled cells. In particular we\n",
        "use a dataset of peripheral blood mononuclear cells (PBMC) from 10x Genomics and\n",
        "(approximately) reproduce Figure 6 in reference [1].'**bold text**\n",
        "\n",
        "References:\n",
        "[1] \"Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models,\"\n",
        "    Chenling Xu, Romain Lopez, Edouard Mehlman, Jeffrey Regier, Michael I. Jordan, Nir Yosef."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LxLJVy9b7MQN",
        "outputId": "bbd4c7f3-db52-4d14-9c2e-61636cf18fdd"
      },
      "source": [
        "! python scanvi.py --num-epochs=5 --plot\n",
        "#instead of 60 epochs"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/numba/np/ufunc/parallel.py:363: NumbaWarning: \u001b[1mThe TBB threading layer requires TBB version 2019.5 or later i.e., TBB_INTERFACE_VERSION >= 11005. Found TBB_INTERFACE_VERSION = 9107. The TBB threading layer is disabled.\u001b[0m\n",
            "  warnings.warn(problem)\n",
            "\u001b[34mINFO    \u001b[0m File data/PurifiedPBMCDataset.h5ad already downloaded                  \n",
            "\u001b[34mINFO    \u001b[0m Using batches from adata.obs\u001b[1m[\u001b[0m\u001b[32m\"batch\"\u001b[0m\u001b[1m]\u001b[0m                                  \n",
            "\u001b[34mINFO    \u001b[0m Using labels from adata.obs\u001b[1m[\u001b[0m\u001b[32m\"labels\"\u001b[0m\u001b[1m]\u001b[0m                                  \n",
            "\u001b[34mINFO    \u001b[0m Using data from adata.X                                                \n",
            "\u001b[34mINFO    \u001b[0m Computing library size prior per batch                                 \n",
            "\u001b[34mINFO    \u001b[0m Successfully registered anndata object containing \u001b[1;36m42919\u001b[0m cells, \u001b[1;36m21932\u001b[0m   \n",
            "         vars, \u001b[1;36m4\u001b[0m batches, \u001b[1;36m4\u001b[0m labels, and \u001b[1;36m0\u001b[0m proteins. Also registered \u001b[1;36m0\u001b[0m extra     \n",
            "         categorical covariates and \u001b[1;36m0\u001b[0m extra continuous covariates.              \n",
            "\u001b[34mINFO    \u001b[0m Please do not further modify adata until model is trained.             \n",
            "tcmalloc: large alloc 3765198848 bytes == 0x55597ea40000 @  0x7ff484d99001 0x7ff4817e354f 0x7ff481833b58 0x7ff481837b17 0x7ff4818d6203 0x55593dc4c544 0x55593dc4c240 0x55593dcc0627 0x55593dc4dafa 0x55593dcbfd00 0x55593dcba9ee 0x55593dc4dbda 0x55593dcbc737 0x55593dcba9ee 0x55593dc4dbda 0x55593dcbfd00 0x55593dcba9ee 0x55593dc4dbda 0x55593dcbc737 0x55593dc4dafa 0x55593dcbb915 0x55593dcba9ee 0x55593dcba6f3 0x55593dd844c2 0x55593dd8483d 0x55593dd846e6 0x55593dd5c163 0x55593dd5be0c 0x7ff483b81bf7 0x55593dd5bcea\n",
            "tcmalloc: large alloc 1754562560 bytes == 0x555a6961e000 @  0x7ff484d79b6b 0x7ff484d99379 0x7ff415bee26e 0x7ff415bef9e2 0x7ff459459b49 0x7ff45945a897 0x7ff459836d89 0x7ff459f9bb9a 0x7ff459f7ecbe 0x7ff459b83a05 0x7ff459442e2e 0x7ff4594447fb 0x7ff459445c33 0x7ff45981f6d6 0x7ff459823084 0x7ff459f9c79f 0x7ff459e5655e 0x7ff45b5ad5f5 0x7ff45b5adaa2 0x7ff45a2b5565 0x7ff46c7949e2 0x55593dd34409 0x55593dcbbe7a 0x55593dcba9ee 0x55593dc4dbda 0x55593dcbc737 0x55593dc4dafa 0x55593dcbb915 0x55593dcba9ee 0x55593dcba6f3 0x55593dd844c2\n",
            "[Epoch 0000]  Loss: 0.37968\n",
            "[Epoch 0001]  Loss: 0.25020\n",
            "[Epoch 0002]  Loss: 0.17182\n",
            "[Epoch 0003]  Loss: 0.13909\n",
            "[Epoch 0004]  Loss: 0.12325\n",
            "tcmalloc: large alloc 1754562560 bytes == 0x55597f6ca000 @  0x7ff484d79b6b 0x7ff484d99379 0x7ff415bee26e 0x7ff415bef9e2 0x7ff459459b49 0x7ff45945a897 0x7ff459836d89 0x7ff459fd09f6 0x7ff4594447fb 0x7ff459445c33 0x7ff459446b0d 0x7ff4595c0b0f 0x7ff459fec5c3 0x7ff459fec672 0x7ff459e5b0ed 0x7ff459e5b261 0x7ff45b64ba3a 0x7ff45b64c065 0x7ff45a27f21e 0x7ff46c383a35 0x7ff46c3844c6 0x55593dd618d4 0x55593dc4c6f2 0x55593dc917f0 0x55593dc93168 0x55593dd34db7 0x55593dcbc320 0x55593dc4e039 0x55593dc4e698 0x55593dcbcfe4 0x55593dcba9ee\n",
            "tcmalloc: large alloc 1754562560 bytes == 0x5559e8012000 @  0x7ff484d79b6b 0x7ff484d99379 0x7ff415bee26e 0x7ff415bef9e2 0x7ff459459b49 0x7ff45945a897 0x7ff459836d89 0x7ff459fd6566 0x7ff45944282f 0x7ff459445aa0 0x7ff459446770 0x7ff459fea1b5 0x7ff459fea23c 0x7ff459db77f1 0x7ff459dbb40f 0x7ff45b6486b2 0x7ff45b648a7f 0x7ff45a255fd1 0x7ff46c46c84b 0x55593dc4c4b0 0x55593dc4c240 0x55593dcc00f3 0x55593dc4e039 0x55593dc4e698 0x55593dcbcfe4 0x55593dcba9ee 0x55593dc4e271 0x55593dc91409 0x55593dc4cc52 0x55593dcc04d9 0x55593dc4dafa\n",
            "\u001b[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qNzaFuzeTbr1"
      },
      "source": [
        "![scanvi 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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w0qQjBYjVQA-"
      },
      "source": [
        "Fig 1: Seed cells are colored by their annotation (using known marker genes)\n",
        "\n",
        "Fig 2-5: The posterior probability of each cell being one of the four T cell subtype obtained"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4iupU62OMFai"
      },
      "source": [
        "**Example 2: Epidemiological inference via Hamiltonian Monte Carlo**\n",
        "\n",
        "'Generate outbreak data for a population of 10000 observed for 60 days, then infer infection parameters and forecast new infections for another 30 days.' Data simulated using a *Discrete SIR Model* (population = Susceptible + Infected + Recovered).\n",
        "\n",
        "Reference: https://github.com/pyro-ppl/pyro/blob/dev/examples/sir_hmc.py\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CmJJvqU-MEyx",
        "outputId": "b4e89166-bf9c-4450-f61d-145afad448b4"
      },
      "source": [
        "! python sir_hmc.py -p 10000 -d 60 -f 30 --plot"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Generating data...\n",
            "Observed 708/1471 infections:\n",
            "1 1 0 0 0 0 1 1 0 0 1 1 2 0 1 1 0 1 1 1 2 1 1 3 3 7 3 5 5 5 2 10 4 10 6 8 8 13 11 17 11 13 16 17 12 21 25 31 26 10 34 23 37 37 42 38 42 42 45 49\n",
            "Running inference...\n",
            "Sample: 100%|██| 300/300 [01:31,  3.29it/s, step size=6.41e-02, acc. prob=0.885]\n",
            "\n",
            "\n",
            "                mean       std    median      5.0%     95.0%     n_eff     r_hat\n",
            "  I_aux[0]      2.48      0.75      2.32      1.39      3.51      9.98      1.00\n",
            "  I_aux[1]      4.07      1.03      4.13      2.55      5.77     28.41      1.08\n",
            "  I_aux[2]      5.01      0.82      5.00      3.57      6.16     22.15      1.07\n",
            "  I_aux[3]      4.95      1.17      5.09      3.01      6.50     21.79      1.16\n",
            "  I_aux[4]      4.67      1.07      4.68      2.85      6.13      7.16      1.14\n",
            "  I_aux[5]      4.38      1.10      4.32      2.50      6.07     29.30      1.00\n",
            "  I_aux[6]      5.06      0.90      5.02      3.71      6.52     24.36      1.05\n",
            "  I_aux[7]      5.67      0.94      5.48      4.54      7.39      9.50      1.10\n",
            "  I_aux[8]      4.55      1.25      4.45      2.86      6.75     25.57      1.03\n",
            "  I_aux[9]      4.08      1.19      3.87      2.20      6.10     22.67      1.03\n",
            " I_aux[10]      4.81      1.10      4.63      3.25      6.68     11.05      1.04\n",
            " I_aux[11]      5.77      1.44      5.61      3.22      7.86     17.06      1.07\n",
            " I_aux[12]      7.62      1.25      7.45      5.92     10.02     28.46      1.00\n",
            " I_aux[13]      7.74      1.22      7.68      5.95      9.82     30.23      1.00\n",
            " I_aux[14]      8.79      1.09      8.68      7.29     10.57     43.36      1.00\n",
            " I_aux[15]      9.79      1.57      9.85      6.72     11.87     11.07      1.26\n",
            " I_aux[16]      9.61      1.91      9.63      6.42     12.65      6.20      1.49\n",
            " I_aux[17]     10.37      2.28     10.45      6.26     13.48      4.98      1.61\n",
            " I_aux[18]     10.97      1.99     10.69      8.08     14.46      5.08      1.50\n",
            " I_aux[19]     11.94      2.06     12.08      7.96     14.65      5.12      1.34\n",
            " I_aux[20]     13.92      2.65     13.95      9.56     18.18      9.62      1.10\n",
            " I_aux[21]     15.29      2.91     14.94     10.38     19.79     10.39      1.05\n",
            " I_aux[22]     16.70      2.85     16.51     11.84     20.19     10.26      1.04\n",
            " I_aux[23]     20.52      2.74     20.17     16.97     25.22     14.64      1.01\n",
            " I_aux[24]     23.91      2.59     23.71     19.39     27.22     15.90      1.00\n",
            " I_aux[25]     30.66      2.95     30.31     26.63     35.81     15.16      1.12\n",
            " I_aux[26]     32.97      3.00     32.97     27.85     37.55     15.36      1.09\n",
            " I_aux[27]     37.56      3.12     37.01     33.65     44.14     17.93      1.04\n",
            " I_aux[28]     41.95      3.57     41.79     37.09     47.52     19.97      1.02\n",
            " I_aux[29]     46.44      3.92     46.14     38.94     51.50     15.85      1.01\n",
            " I_aux[30]     48.21      4.62     48.07     41.64     56.17     12.61      1.00\n",
            " I_aux[31]     57.15      4.94     57.56     49.66     64.97     10.96      1.04\n",
            " I_aux[32]     59.84      5.35     59.58     51.21     67.82     12.36      1.07\n",
            " I_aux[33]     67.60      6.23     67.34     57.41     77.22     12.82      1.08\n",
            " I_aux[34]     70.93      6.03     70.73     61.16     80.49     16.76      1.07\n",
            " I_aux[35]     76.40      5.47     75.68     66.88     84.43     23.79      1.04\n",
            " I_aux[36]     82.92      5.03     82.24     75.99     91.12     21.68      1.02\n",
            " I_aux[37]     94.27      5.02     93.95     86.79    102.92     19.12      1.00\n",
            " I_aux[38]    102.94      5.79    103.41     94.07    112.32     15.35      1.00\n",
            " I_aux[39]    116.25      6.24    116.38    105.12    125.54     12.45      1.00\n",
            " I_aux[40]    124.01      6.50    124.66    111.46    133.53     12.56      1.01\n",
            " I_aux[41]    134.06      7.33    134.02    122.37    146.24     12.44      1.06\n",
            " I_aux[42]    146.18      7.76    146.51    132.72    157.70     13.18      1.07\n",
            " I_aux[43]    159.32      8.46    159.20    146.05    173.46     12.92      1.06\n",
            " I_aux[44]    168.71      9.67    167.68    154.83    186.64     12.04      1.08\n",
            " I_aux[45]    185.78     10.41    184.46    170.41    203.78      9.17      1.15\n",
            " I_aux[46]    205.49     11.73    204.05    187.21    225.64      8.71      1.19\n",
            " I_aux[47]    228.54     13.30    227.40    212.30    256.50      7.25      1.28\n",
            " I_aux[48]    246.12     13.91    244.64    220.90    268.35      6.90      1.32\n",
            " I_aux[49]    250.80     13.97    248.92    229.14    274.00      5.89      1.37\n",
            " I_aux[50]    277.93     14.61    276.39    256.11    303.55      5.82      1.37\n",
            " I_aux[51]    294.99     16.38    293.10    269.14    319.73      5.54      1.37\n",
            " I_aux[52]    324.63     17.46    323.57    297.04    350.89      5.29      1.35\n",
            " I_aux[53]    353.03     19.44    350.69    321.82    382.07      4.54      1.43\n",
            " I_aux[54]    384.58     20.78    382.88    356.25    418.31      4.56      1.40\n",
            " I_aux[55]    411.26     22.23    411.33    375.48    441.19      4.23      1.46\n",
            " I_aux[56]    439.62     24.43    438.69    398.34    477.19      4.17      1.50\n",
            " I_aux[57]    468.47     26.30    466.51    428.35    509.93      3.90      1.60\n",
            " I_aux[58]    498.41     29.22    496.96    459.90    549.66      3.97      1.58\n",
            " I_aux[59]    530.38     32.84    529.58    485.21    587.78      4.02      1.63\n",
            "        R0      1.56      0.06      1.55      1.47      1.64     54.25      1.10\n",
            "  S_aux[0]   9997.40      0.76   9997.40   9996.17   9998.64     15.28      1.00\n",
            "  S_aux[1]   9995.71      0.94   9995.66   9994.24   9997.23     22.73      1.01\n",
            "  S_aux[2]   9994.43      0.87   9994.34   9993.08   9995.73     14.47      1.08\n",
            "  S_aux[3]   9993.92      1.00   9994.10   9992.38   9995.58     12.83      1.00\n",
            "  S_aux[4]   9993.60      1.01   9993.75   9992.18   9995.45     12.67      1.01\n",
            "  S_aux[5]   9993.58      0.93   9993.71   9992.04   9994.90     12.93      1.03\n",
            "  S_aux[6]   9992.37      0.91   9992.47   9990.68   9993.60     16.76      1.01\n",
            "  S_aux[7]   9991.22      0.94   9991.26   9989.84   9992.80     14.10      1.00\n",
            "  S_aux[8]   9991.04      1.00   9991.09   9989.53   9992.66     11.52      1.00\n",
            "  S_aux[9]   9990.91      1.02   9990.86   9989.15   9992.44     11.06      1.00\n",
            " S_aux[10]   9989.63      1.09   9989.63   9987.92   9991.34     10.84      1.00\n",
            " S_aux[11]   9988.24      1.37   9988.30   9986.05   9990.56      7.01      1.08\n",
            " S_aux[12]   9985.75      1.38   9985.72   9983.59   9987.94      7.09      1.06\n",
            " S_aux[13]   9984.83      1.48   9984.89   9982.08   9986.80      7.01      1.06\n",
            " S_aux[14]   9983.01      1.51   9983.13   9980.39   9985.23      7.63      1.05\n",
            " S_aux[15]   9980.82      1.47   9980.70   9978.60   9983.14      9.43      1.00\n",
            " S_aux[16]   9979.83      1.65   9979.86   9977.54   9982.70      8.15      1.03\n",
            " S_aux[17]   9978.02      1.76   9978.04   9975.41   9980.83      7.17      1.13\n",
            " S_aux[18]   9976.14      1.77   9976.03   9973.02   9978.88     12.79      1.11\n",
            " S_aux[19]   9974.10      1.77   9973.83   9971.39   9977.26     16.95      1.16\n",
            " S_aux[20]   9970.70      1.35   9970.76   9968.49   9972.94     29.13      1.07\n",
            " S_aux[21]   9968.20      1.60   9968.16   9966.17   9971.13     28.43      1.05\n",
            " S_aux[22]   9965.52      1.63   9965.73   9962.63   9967.90     24.28      1.04\n",
            " S_aux[23]   9960.10      1.75   9960.10   9957.32   9962.79     52.79      1.02\n",
            " S_aux[24]   9954.74      1.63   9954.80   9952.79   9958.21     45.85      1.01\n",
            " S_aux[25]   9945.28      1.78   9945.39   9942.51   9948.36     33.70      1.04\n",
            " S_aux[26]   9939.44      1.79   9939.56   9936.71   9942.34     34.02      1.04\n",
            " S_aux[27]   9931.07      2.35   9931.42   9927.16   9934.75     21.29      1.05\n",
            " S_aux[28]   9922.29      2.75   9922.42   9918.13   9926.59     20.42      1.05\n",
            " S_aux[29]   9912.74      3.22   9912.84   9907.37   9917.62     18.73      1.04\n",
            " S_aux[30]   9905.50      3.64   9905.34   9899.06   9910.70     16.24      1.01\n",
            " S_aux[31]   9890.52      4.19   9890.01   9882.97   9896.66     12.72      1.00\n",
            " S_aux[32]   9880.39      4.61   9879.97   9874.15   9888.51     11.60      1.01\n",
            " S_aux[33]   9864.63      5.31   9864.07   9856.76   9873.34     10.42      1.01\n",
            " S_aux[34]   9852.21      5.72   9852.23   9842.25   9860.11     10.42      1.00\n",
            " S_aux[35]   9837.20      5.77   9838.14   9827.68   9845.91     10.80      1.00\n",
            " S_aux[36]   9821.31      5.99   9821.98   9811.17   9830.51     11.28      1.00\n",
            " S_aux[37]   9799.70      6.28   9800.29   9789.93   9809.13     10.87      1.02\n",
            " S_aux[38]   9779.01      6.94   9779.19   9768.69   9792.88     10.32      1.04\n",
            " S_aux[39]   9751.99      7.45   9752.49   9740.92   9766.44      9.40      1.08\n",
            " S_aux[40]   9729.62      7.77   9730.23   9718.26   9744.69      8.15      1.16\n",
            " S_aux[41]   9704.29      8.64   9704.81   9687.33   9716.32      7.07      1.23\n",
            " S_aux[42]   9675.34      9.50   9675.74   9658.27   9688.11      6.16      1.32\n",
            " S_aux[43]   9644.10     10.06   9644.10   9629.96   9661.24      5.86      1.40\n",
            " S_aux[44]   9615.95     10.55   9615.83   9599.18   9632.25      4.99      1.57\n",
            " S_aux[45]   9578.00     11.45   9578.79   9558.27   9595.19      4.60      1.72\n",
            " S_aux[46]   9534.93     13.36   9535.45   9510.82   9553.77      4.47      1.86\n",
            " S_aux[47]   9484.82     14.72   9484.94   9461.15   9507.63      4.13      1.99\n",
            " S_aux[48]   9437.22     16.19   9437.81   9414.63   9465.15      3.85      2.11\n",
            " S_aux[49]   9402.43     17.59   9403.89   9374.93   9427.60      3.66      2.19\n",
            " S_aux[50]   9344.05     19.72   9346.50   9314.32   9371.84      3.59      2.15\n",
            " S_aux[51]   9293.30     22.22   9296.66   9258.55   9322.21      3.49      2.22\n",
            " S_aux[52]   9227.66     25.07   9233.32   9187.92   9259.82      3.54      2.08\n",
            " S_aux[53]   9158.50     28.52   9163.67   9117.09   9201.48      3.45      2.06\n",
            " S_aux[54]   9082.78     32.03   9090.60   9041.17   9134.18      3.50      1.98\n",
            " S_aux[55]   9007.95     35.26   9015.33   8957.47   9062.69      3.41      2.02\n",
            " S_aux[56]   8927.66     40.01   8934.04   8866.73   8986.92      3.47      1.97\n",
            " S_aux[57]   8844.19     44.97   8851.60   8775.30   8909.05      3.43      1.98\n",
            " S_aux[58]   8755.67     50.73   8762.55   8681.01   8836.91      3.45      1.94\n",
            " S_aux[59]   8661.00     56.82   8668.57   8574.77   8746.93      3.42      1.95\n",
            "       rho      0.53      0.03      0.53      0.49      0.58      4.70      1.57\n",
            "\n",
            "Number of divergences: 0\n",
            "R0: truth = 1.5, estimate = 1.56 ± 0.0567\n",
            "rho: truth = 0.5, estimate = 0.531 ± 0.0281\n",
            "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "NumExpr defaulting to 2 threads.\n",
            "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n",
            "Forecasting 30 steps ahead...\n",
            "Median prediction of new infections (starting on day 0):\n",
            "1 2 1 0 0 0 1 1 0 0 1 1 2 1 2 2 1 2 2 2 3 2 3 5 5 9 6 8 9 10 7 15 10 15 12 15 16 21 20 27 22 25 29 31 28 38 43 50 47 35 58 51 65 69 75 75 80 83 88 94 100 106 113 118 123 124 132 134 140 144 145 146 150 151 151 153 153 151 150 147 145 142 139 133 131 127 124 116 112 107\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VxpYSz6vP6M4"
      },
      "source": [
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}