kmers_clustering.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "kmers_clustering.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "wBqUhQ135SP0",
        "wR1D5Iru4la8",
        "s3f37qob8DSG"
      ]
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "#Create datasets"
      ],
      "metadata": {
        "id": "wBqUhQ135SP0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%%bash \n",
        "cd /content/drive/MyDrive/Bio_project\n",
        "python main.py < script_inputs.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QxLUCt_D5R7B",
        "outputId": "3b9dc8b6-16ac-42aa-f98e-2b68b7678918"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Give inputs\n",
            "\n",
            "1000 fasta files\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Preproccesing Blast Description file"
      ],
      "metadata": {
        "id": "wR1D5Iru4la8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n"
      ],
      "metadata": {
        "id": "OKddGcDt431i"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Pq4iN_mx3J8q",
        "outputId": "eda9fa3f-57f4-4370-a287-25c933070e3a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  This is separate from the ipykernel package so we can avoid doing imports until\n"
          ]
        }
      ],
      "source": [
        "df = pd.read_csv('/content/drive/MyDrive/Bio_project/NC_008535.1/X33Z0KDD01R-Alignment-Descriptions.csv', header= 0)\n",
        "for i in range(len(df['Accession  '])):\n",
        "  df['Accession  '][i] = (df['Accession  '][i].split(',')).pop()[1:-2]\n",
        "df['Accession  ']\n",
        "df.to_csv('/content/drive/MyDrive/Bio_project/NC_008535.1/X33Z0KDD01R-Alignment-Descriptions.csv',index=False)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "-JAGZQxs41Wr"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Define the number of clusters (elbow method) "
      ],
      "metadata": {
        "id": "s3f37qob8DSG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from sklearn.cluster import KMeans\n",
        "import pandas as pd"
      ],
      "metadata": {
        "id": "IxAtcJ398FL9"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df1 = pd.read_csv('/content/drive/MyDrive/Bio_project/NC_008535.1/6/kmers_dataset.csv')\n",
        "df_n_genome = list(df1['Genome_Name'])\n",
        "df1.pop('Genome_Name')"
      ],
      "metadata": {
        "id": "R23g-smR8NXN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "from sklearn import preprocessing\n",
        "\n",
        "x = df1.values #returns a numpy array\n",
        "min_max_scaler = preprocessing.MinMaxScaler()\n",
        "x_scaled = min_max_scaler.fit_transform(x)\n",
        "df1 = pd.DataFrame(x_scaled)"
      ],
      "metadata": {
        "id": "3Ro6m_dd8YCs"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Sum_of_squared_distances = []\n",
        "K = range(1,10)\n",
        "for num_clusters in K :\n",
        " kmeans = KMeans(n_clusters=num_clusters, algorithm='full', n_init=100, max_iter=600)\n",
        " kmeans.fit_predict(df1)\n",
        " Sum_of_squared_distances.append(kmeans.inertia_)\n",
        "plt.plot(K,Sum_of_squared_distances,'bx-')\n",
        "plt.xlabel('Values of K') \n",
        "plt.ylabel('Sum of squared distances/Inertia') \n",
        "plt.title('Elbow Method For Optimal k')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "JPmY6cZH8f0E",
        "outputId": "c8c5148d-be71-4ca9-f524-545bf6be317c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Apply k-means clustering"
      ],
      "metadata": {
        "id": "B6w8SXhd_wyc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from sklearn.cluster import KMeans\n",
        "import pandas as pd\n",
        "from sklearn.manifold import Isomap\n",
        "import os\n",
        "from sklearn import preprocessing"
      ],
      "metadata": {
        "id": "XZVdbKdr_21S"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def dataset_clustering(dataset_path, output_file, description_file):\n",
        "  #import dataset\n",
        "  df1 = pd.read_csv(dataset_path)\n",
        "  df_n_genome = list(df1['Genome_Name'])\n",
        "  df1.pop('Genome_Name')\n",
        "\n",
        "  #normalize data\n",
        "  \n",
        "  x = df1.values #returns a numpy array\n",
        "  min_max_scaler = preprocessing.MinMaxScaler()\n",
        "  x_scaled = min_max_scaler.fit_transform(x)\n",
        "  df1 = pd.DataFrame(x_scaled)\n",
        "  print(df1)\n",
        "\n",
        "  #apply k-means clustering - 3 number of clusters\n",
        "  kmeans = KMeans(n_clusters=3).fit(df1)\n",
        "  kmeans_labels = kmeans.labels_\n",
        "\n",
        "  # Dimensionality reduction (2D) using Isomap\n",
        "  embedding = Isomap(n_components=2)\n",
        "  X_transformed = embedding.fit_transform(df1)\n",
        "  X_transformed = pd.DataFrame(X_transformed)\n",
        "\n",
        "  #normalize\n",
        "  X_transformed[0] = X_transformed[0]/max(X_transformed[0])\n",
        "  X_transformed[1] = X_transformed[1]/max(X_transformed[1])\n",
        "  \n",
        "  #2D clustering plot\n",
        "  plt.figure(figsize=(10,10))\n",
        "  plt.scatter(X_transformed[0][kmeans_labels== 0], X_transformed[1][kmeans_labels==0], s=10, c='red')\n",
        "  plt.scatter(X_transformed[0][kmeans_labels== 1], X_transformed[1][kmeans_labels==1], s=10, c='green')\n",
        "  plt.scatter(X_transformed[0][kmeans_labels== 2], X_transformed[1][kmeans_labels==2], s=10, c='blue')\n",
        "  plt.savefig('{}/clustering_isomap.png'.format(output_file))\n",
        "  plt.show()\n",
        "\n",
        "  #Match gene products with blast components (total score and E-value) by utilizing Accession column\n",
        "  df2 = pd.read_csv(description_file, header=0)\n",
        "  total_score = []\n",
        "  E_value = []\n",
        "  acc_length = []\n",
        "  for i in df_n_genome:\n",
        "    accession_index = df2.index[df2['Accession  '] == i].tolist()\n",
        "    total_score.append(df2['Total Score'][accession_index[0]])\n",
        "    E_value.append(df2['E value'][accession_index[0]])\n",
        "    acc_length.append(df2['Acc. Len'][accession_index[0]])\n",
        "  \n",
        "  #insert to dataframe\n",
        "  data = {'Total_score':total_score, 'E_value':E_value, 'Acc_length': acc_length}\n",
        "  data2d = pd.DataFrame(data)\n",
        "\n",
        "  #2D plot using blast metrics \n",
        "  blast_metrics= ['Total_score', 'E_value', 'Acc_length']\n",
        "\n",
        "  for i in range(3):\n",
        "    plt.figure(figsize=(11,11))\n",
        "    plt.scatter(y=data2d[blast_metrics[i]][kmeans_labels== 0], x=data2d[blast_metrics[i-1]][kmeans_labels==0], s=10, c='red',  label = 'Cluster 1')\n",
        "    plt.scatter(y=data2d[blast_metrics[i]][kmeans_labels==1], x=data2d[blast_metrics[i-1]][kmeans_labels==1],  c='green', s=10, label = 'Cluster 2')\n",
        "    plt.scatter(y=data2d[blast_metrics[i]][kmeans_labels==2], x=data2d[blast_metrics[i-1]][kmeans_labels==2],  c='blue', s=10, label = 'Cluster 3')\n",
        "    plt.ylabel(blast_metrics[i], fontsize=25)\n",
        "    plt.xlabel(blast_metrics[i-1], fontsize=25) \n",
        "    plt.savefig('{0}/{1}_{2}'.format(output_file, blast_metrics[i], blast_metrics[-1]))"
      ],
      "metadata": {
        "id": "8ARNAcxYEnsa"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#6_mers dataset\n",
        "dataset_clustering('/content/drive/MyDrive/Bio_project/NC_008535.1/6/kmers_dataset.csv', '/content/drive/MyDrive/Bio_project/NC_008535.1/6', '/content/drive/MyDrive/Bio_project/NC_008535.1/X33Z0KDD01R-Alignment-Descriptions.csv')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "nqzvdau9FVaM",
        "outputId": "7d30a815-3095-4946-9eb3-e0c4bc0ba43e"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "         0         1         2     ...      4093      4094      4095\n",
            "0    0.748879  0.704545  0.820690  ...  0.867347  0.850394  0.734878\n",
            "1    0.748879  0.704545  0.820690  ...  0.867347  0.850394  0.734878\n",
            "2    0.748879  0.704545  0.820690  ...  0.867347  0.850394  0.734878\n",
            "3    0.748879  0.704545  0.820690  ...  0.867347  0.850394  0.734878\n",
            "4    0.748879  0.704545  0.820690  ...  0.867347  0.850394  0.734878\n",
            "..        ...       ...       ...  ...       ...       ...       ...\n",
            "995  0.790732  0.833333  0.800000  ...  0.731293  0.728346  0.720721\n",
            "996  0.763827  0.803030  0.806897  ...  0.765306  0.751969  0.781210\n",
            "997  0.817638  0.810606  0.793103  ...  0.758503  0.751969  0.785071\n",
            "998  0.943199  0.772727  0.793103  ...  0.765306  0.736220  0.805663\n",
            "999  0.763827  0.780303  0.806897  ...  0.724490  0.748031  0.779923\n",
            "\n",
            "[1000 rows x 4096 columns]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/manifold/_isomap.py:322: UserWarning: The number of connected components of the neighbors graph is 46 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.\n",
            "  self._fit_transform(X)\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#5_mers dataset\n",
        "dataset_clustering('/content/drive/MyDrive/Bio_project/NC_008535.1/5/kmers_dataset.csv', '/content/drive/MyDrive/Bio_project/NC_008535.1/5', '/content/drive/MyDrive/Bio_project/NC_008535.1/X33Z0KDD01R-Alignment-Descriptions.csv' )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "H7FhRqrPHjJN",
        "outputId": "939b4b29-a25c-45aa-fe3c-e801c96b2294"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "         0         1         2     ...      1021      1022      1023\n",
            "0    0.828298  0.808581  0.859322  ...  0.858491  0.891107  0.867161\n",
            "1    0.828298  0.808581  0.859322  ...  0.858491  0.891107  0.867161\n",
            "2    0.828298  0.808581  0.859322  ...  0.858491  0.891107  0.867161\n",
            "3    0.828298  0.808581  0.859322  ...  0.858491  0.891107  0.867161\n",
            "4    0.828298  0.808581  0.859322  ...  0.858491  0.891107  0.867161\n",
            "..        ...       ...       ...  ...       ...       ...       ...\n",
            "995  0.859248  0.858086  0.822034  ...  0.772013  0.807623  0.801079\n",
            "996  0.829772  0.877888  0.842373  ...  0.801887  0.803993  0.843560\n",
            "997  0.865144  0.904290  0.820339  ...  0.790881  0.814882  0.846258\n",
            "998  0.925571  0.877888  0.820339  ...  0.789308  0.807623  0.856372\n",
            "999  0.831982  0.861386  0.849153  ...  0.781447  0.802178  0.842886\n",
            "\n",
            "[1000 rows x 1024 columns]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/manifold/_isomap.py:322: UserWarning: The number of connected components of the neighbors graph is 37 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.\n",
            "  self._fit_transform(X)\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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jQO1r2nVJ7SUyMknXh04MFWFUHsmmYLyci8oT67Sk1IXzAICKQ9gqcQMdA3r7q2/rqc8+pfctel/ctdXLVhdpVHmWTcF4uReVp6vTKucACQDICmGrTFiNlj639nNx525ecXORRpNn2RSMl3tReao6rXIPkACArBC2isAO2+oe7J7zW4WBhoD8NZG/sP01ftUvqp/X95ScbArGy72oPNrgtK1NuvXWyLlyD5AAgKwYx3GKPYaUmpubneHh4WIPI+/ssK3OvZ0auzAmf41fuzbtmlNneDtsKzQSUv2iej38s4fn/T0lx7Zn77SezT3zubcQbFvq74+MaXJSqquT/vRPpYcfjgQtv59ieQAoY8aYQ47jNKe6xnY9BRYaCWnsQmQ2Y+zCmEIjoXmFpMOvHs7L95QMy5o9aGRzjzSzPDc2Ju3cWfwQ4x5P1Pi4dPgw2/kAwAJA2CqwQENAOw/vjM1IBRqyXw5zz4rV+mpV56vT+NT4nL+n4qVanitmkHGPJ1G2ARIAULao2Sowq9HSrk27tOWWLXNe+nPPik1MTei262+L+5751oJVnFKr70r3/K6uwo4DAFAUeZnZMsbcIen/leST9DeO43w9zX2bJO2RdIvjOJVXkJUlq9Ga15Jf/aL6uOMPXfUh9bb2Soqf9dp5eGf513DNV7RW6777pNHR0liesyxpxQrptddmzjU0FH9cAICCyHlmyxjjk9Qn6ZOS1kjqNMasSXHfpZL+RNKBXJ+5UI2eH017nKoWbMFxt1J46CHphz+UDrj+uAWD0tq1kR/dn/G6z5VtS2+9NXNsjPTNb3r3PABAScnHzNZHJB13HOeEJBljnpB0l6TnE+77C0nbJf3nPDyz4nUMdGjoxJBWL1utm1fcrEBDIGO9Vy61YBXDXRs1OSm99JK0bdvM9ejPjx6N/NjSUphC+lAoUhAfZZJ3AwAAVK581GytlPSy6/iVi+dijDEflnSN4zg/ysPzKl7HQIf2PL9Hb55/U/tf3q++g33q3BvZ4iVdvVcutWAVw12r5WbbyTNX0eXGQvS5CgSkatf/r5mejjwrcVaNbvIAUJE8fxvRGFMl6ZuS/jCLe++RdI8krVq1ytuBlaBoD60fH/9x0rXo0uCOth1pg9R8a8EqRrRx6IMPSocOxZ+XZma0oudaWiIzWtE+V7kW0qfr7WVZ0v33S9u3S1NTkeB1+nT8rNp998303CqFdhUAgLzJR9g6Jeka1/HVF89FXSqpSdKzJrJ8skKSbYyxEovkHcd5VNKjUqSpaR7GVjbcBe5VJnnCccEuDc5VtJVCMBgJP5Yl9fbOXE88l68+V7P19oo+b/v2yBLnk09GgpcU+Yxtl1a7CgBA3uQjbB2UdJMx5npFQtZnJf1+9KLjOKOSlkaPjTHPSvpPC/ltxFTcBe7TzrQaLm/QW++9FavZql9UHyt6X9CzV9nq7Y0PWenO5avPVTa9vUZHZwJWdIZrcjIyq2ZZ0okT+ZtlAwCUjJxrthzHmZTULelpSS9I2u04zr8aYx40xpAKspS47+E3b/+m3tj6hvbdvU+BhoAe/tnDsdqtVH206LFVZO56sepqqb4+8z1+f2RpccuWyCxYb2/kx+gxs1oAUDHYG7GERGu2Ag2BuNmr7sFu9R3six1vuWWLdrTtiPvc5oHNGp8aV52vTrs7djP7VQzB4ExdVrq9DtMtbyYqtb0dAQAZsTdimUhX4D5bW4f+4X6NT0VaC4xPjat/uJ+wVQzuZcJUS4m2PVMEf+JEpEA/VZBKrP8qpQatAIA5Y7ueMjDXtg7/8G//oEu3XaqOgY5Zvzs4FNTaR9YqOBSc9V7MYrZtgrJtNZF43/btkUatnZ20hQCAMkTYKhNWo5W27UNXc5dqfbWx4/cm39M7F97Rnuf3ZAxcwaGgtj23TUdfP6ptz20r/8BVzD5V7m2CUtVd2bZ08qRUe/HfU6Yi+MT6r8TZMgBAWaFmq0LYYVvBoaCOvn406ZrztdT/jtc+sjbu/qblTTpy7xHPxugp99JbunqpYj3bfb2uTrrttsgm1JnGFw1v9fUzS4+F/nUBALJGzdYCEJ3xuuuJu5KubXhsg/bdvS/lZ9xhq6zrvLJpvVCsZ7uvj49L118/+9jcLSlaWmaCV3Rmi8AFAGWDZcQKYjVaWrF4RdL5Ay+n3vu7t7VXPRt71LS8ST0be9TbmuHtuFI3W71UMZ+d7djSLYNaVuQzDz8cqd369KfjN9MGAJQ0lhErjB22U85u/eCzPyjvmatsFLNdwmzPnu36bG0jursjQSuqulrau5cZLgAoEZmWEQlbFSi6kbVbYm8ulBDbljZtinSTj9qyRdqxI/6eT396plg+1T0AgKLJFLZYRqwwdtjW4K8G486xr2KRZPt2ZCgUH7R8vuSlRsuStm6NzGhJbOkDAGWEAvkK495jUYq8Ydjb2lv5S4ilJtXG1FLqpcRAIHLP2FgkTN1/f+rlwd7emWJ5GpwCQNlgZqvCJO6xSNAqksQ3FPv7I+ErVXNSy4r052pqigStVNv4RGfJpMjSIUELAMoGYavCzLXbPDyS+AailL57fHQbn6NHIz8mLjvattTREQlqHR3eNW0tZlNYAKhgLCNWoHR7LKKALCuydBhd8pOkZ5+daU5aXx8JNoFA5j5dti398R9LExOR44mJyCxZvme2Ui17MnsGAHlB2CoTdthWaCSkQEOAIFUsc20t4W5MKs2EL3dX+OhG037/TBCLhjPbljZvjjRC9Voxm8ICQIVjGbEM2GFbnXs71XewT5/+3qfLfw/DchSd+cllQ2jLitRbjY7GB5vR0UgQS9xTMRRKDlpVVZGtfvKtmE1hAaDCEbbKgPsNwylnSg/te0h2mLqagko18zNfqYJNNIi5Z5Pq65M/e/PN3sw4RZc9U22iDQDICWGrDAQaAvIZX+x4cnpS/cP9RRzRApTPmZ/Zgk20UP3w4fjzPp/0wAPzf2424+JNRwDIOzrIl4ngUFDb/3G7ppxIB/FaX60GOgao3yqkQmwH5C5Ur62VjIksJfp8kaamqdpCAACKLlMHeQrky0Rva68Ov3pYg8cj3eEnpiYUGgkRtgopseDdC+7lyokJqa1Nuv76wjcxLeY+kwBQYVhGLCNdzV1xDUvZgqcCJS5XdnXlvrQ31/5Z+XgZAAAQw8xWGYk2LKUFRAVL7M+V66zSfPpn0QYCAPKKsFVmaFi6AORzuXI+wcm9VyNtIAAgZywjApUs3VuUmZYWaQMBAHnF24hApUssdncvLfr9BCoAyINMbyMys4U4dthW92A3TVO9VOgNnxP7Z+WzQSsAYFaELcS4twXq3NtJ4PJCKbzpx9Y8AFBQhC3EuLcFGrswptAIMx55VwqzStRkAUBBEbYQE2gI0MfLa4n7Haba/7AQ2JoHAAqG1g+IoY9XAYyOZj4GAFQcwhbi0MfLY/SwAoAFh7AFFFK+O8QDAEoeYQsotEJsaA0AKBkUyAMAAHiIsAWUskI3QAUA5B1hCyhVpdAAFQCQM8IWUIpsWwoGi98AFQCQMwrkgVLj3ig6qlzaRCRueg0AYGYLKDnuLX0kqampPLbVYdkTAFIibAGlJnGj6N7e0g9aUmns+wgAJYiwBZQaLzaKLsRbjYkhsRyWPQGgAIzjOMUeQ0rNzc3O8PBwsYcBlD93DZjf7+2S5Hxrtqj1AlDmjDGHHMdpTnWNmS2glOVjRqqQy3uWJe3YMfegRa0XgApG2AJKVb5CSKkv71HrBaDCEbaAUpWvEOJFDVg+lXoYpIs/gBzRZwsoRbYtnTwp1dZKExO5h5BS3vw6GgZLsWbLXe+2c2dphlUAJY+wBZQa91/wdXVSW5vU1VXZf8nPFgaLVUCfanaxkv89APAEy4hAqYguV/X3z/wFPz4uXX997n/B27bU3Cxde21kG6ByUswC+lJf4gRQFpjZAkqBezartjYyozU+np+/4G1b2rRJmpyMHG/bFvmxtze37y2UYs4ulfISJ4CywcwWUArcgWJiQrrttvwVtIdCM0ErqpyKvYs9uzSfdhYA4ELYAkpBYqDo6srfX/CBgFSdMIldTsGh1N+mBIBZ0EEeKBXuInApv0tXti09+KB05oz0+c+XzxIiAJSJTB3kCVtAqSnk9joAgLxgux6gnNBRHQAqCmELKDXzLQin0zkAlCTCFnJih211D3bLDvMX/JylC0fzKQhnM2cAKFn02cK8dQx0aM/zeyRJ3/7nb2ugY0BWI7VFWZltG5i5bq9Dp3MAKFnMbGHO7LCt5kebY0FLkiamJtQ/3F/EUZWZfNdlFbsXFQAgLWa2MCd22Fbn3k6NXRhLunb63dNFGFGZCgQiM1rRNw5zDUd0OgeAkkXYwpyERkIpg5YkHX39qOywzVJiNvIZjtz9uXbsyN8YAQB5wTIismaHbZ1866RqfbUpr49PjevLT3+5wKMqY/nYBobC+NnxliaAIstL2DLG3GGMCRtjjhtjvpLi+peNMc8bY35pjHnGGHNtPp6LwokuHw4eH5SRUduNberZ2KO2G9tU5fpjNPLWiDoGOoo40jI130BAT67M3GH005+WgsFijwjAApRz2DLG+CT1SfqkpDWSOo0xaxJu+4WkZsdxPihpj6SHcn0uCsu9fDg+Na7rL79eva29+tHnfiR/rT/u3qETQ8UYYvnKZXaKwvjM3GF0akp66CFmuAAUXD5mtj4i6bjjOCccx5mQ9ISku9w3OI7zD47jRAt9fibp6jw8FwUUaAjIXxP5S91f41egYeYv9TtuvCPu3tYbWgs6trKXy+wUmzRnFghIPt/M8eQks38ACi4fYWulpJddx69cPJfOH0n6n3l4LgrIarS0a9Mubblli3Zt2hVXBD/QMaD2Ne1asmiJ2te0a6BjoIgjLUO5zk7lo/arUlmWtHWrVH3xXSBm/wAUQc4bURtj2iXd4TjOH188/oKkFsdxulPc+3lJ3ZI+7jjOeIrr90i6R5JWrVq17qWXXsppbEDZcL9RSGjKP35/AXgs00bU+QhbvyfpzxzHuf3i8VclyXGc/5pw3yck/X+KBK3XZ/ve5uZmZ3h4OKexobDssK3QSEiBhgDtHyoNYQUAMsoUtvKxjHhQ0k3GmOuNMbWSPisprgLVGHOzpH5JVjZBC+Un+rZi38E+de7tZK/ETMqtFQHtJQAgJzmHLcdxJhVZGnxa0guSdjuO86/GmAeNMdH/C/wNSZdIGjDGHDbG8F/rCuN+W3HswphCIxQhp1SOwYX2EgCQk7x0kHccZ1DSYMK5B1w//0Q+noPSVb+oPuMxLirHDaPzvbUQACwwdJBHXoyeH814jIvKsS8W7SUAICfsjYi8CDQEtPPwTo1dGEvqwwWXct0w2rLKZ6wAUGJyfhvRK7yNWH7cbyNK4s1EAMCC4WnrB68QtspX9M3E6CxXYhNUAAAqjdetH4A4vJkIAMAMwtYCYYdtdQ92F6T/VaZ9FAEAWGhYRlwA3Mt6db463Xb9bepq7vJ0aY9u8gCAhSTTMiJvIy4A7mW98alxDR4f1LMvPetpLZXVaBGyAAAQy4gLgntZL4paKgAACoOwtQBYjZZ2bdqlthvbVOurlUQtFQAAhcIy4gIRXdajlgoAgMIibC0w1FIBAFBYLCMCAAB4iLAFAADgIcIWAACAhwhbAAAAHiJsVZjgUFBrH1mr4FCw2EOJU8jtggAAKCW8jVhBgkNBbXtumyTp6OtHJUm9rb3FHJKk+O2Cdh7e6WnnegAASg0zWxUkcdaoVGaR3NsF0bkeALDQELYqSOJsUanMHgUaArHO9VWqUv2i+iKPCACAwmEZsYJElwztsB0LWmsfWSur0Sr6cuK0Mx35UdP6+nNfl1QaS5wAAHiNma0K09vaqyP3HpEkbXtum46+flTbnttW1IL50EhIk9OTseNpTWvbc9tKZpkTAAAvEbYq1I4DOzIeF1KgISCf8SWd/9QTn1LHQEcRRgQAQOEQtiqQHbb17sS7cecmpibm1BYiny0krEZLWz+2Nem8I0d7nt+jDY9tyPkZAACUKmq2Kky0zcKUpuLOX3f5dVm3hfCihURva6++9fNv6bfjv026tv/l/QoOBanhAgBUJGa2KogdthUcCsbaLEhSna9O7WvaVaZ+CoMAACAASURBVF1VnXRvpu/J9t65WH/N+rTXHtr3EDVcAICKRNiqENEZrehMlCT5a/za3bFbAx0Dc2oL4VULia7mLtX56iRJRibu2uT0JP23AAAViWXECuFuHCpJTcub1NvaGwtKiW0hMi3ZzeXeubAaLe3u2K3QSEiBhoAOnDqgh/Y9pMnpSflr/Ao0BPLyHAAASolxHKfYY0ipubnZGR4eLvYwyoZ7Sxx/jb9stsSxw3YsfJXDeAEASMUYc8hxnOaU1whblYPgAgBAcWQKWywjVhCr0SJkAQBQYiiQR87y2ZMLAIBKw8wWcuJFTy4AJcq2pVBICgQki1l0IFvMbCEnXvXkAlBibFvq7JT6+iI/2vxvHcgWYQs58aonF4ASEwpJYxfby4yNRY4BZIVlROTEq55cKBEsGyEqEJB27owELb8/cgwgK7R+qEDBoaDssK3L6i7TufFzhCDMT3TZKPqX665dBK6FjvANpEXrhwXEXbAeReE65iXVshF/wS5slsWfAWAeqNmqMOkK1EulcN0O2+oe7E4aD+0jSlAgEJnRklg2AoAcMLNVYaxGK24zavd5r2Tbud69pdDOwztjWwrRPqJEWVZk6ZBlIwDICWGrwrgL1gtRs5UuQKXi3ix77MJYbBYrVfsIwlaJYNkIAHLGMmIZSLf0lk5va6+O3HtE++7epyP3HslLcEm3zJcYoEIjM6+DJ467flF93GePvn5UnXs7tXrp6rjztI8AAFQSZrZK3FxmjnIVfYsxOhNmh231D/cr/EZYI2+NSEpe5gs0BLTz8E6NXRiTv8avQEMg5bjv++h9evyXjyc9c+zCmK5cfKV6NvbQPgIAUJFo/VDCOgY69Pfhv9f41Hjs3JZbtmhH246svyMxQEUl1lklvsXYvqZddtjWxNRE0nc2LW/SkXuPpP0uSeoe7Fbfwb7YPVWq0rSmk77LX+P3NEACAFAItH4oQx0DHdrz/J6k87947RdZf0e6wvNUs2WJS5RDJ4ZSBi1JWr10tZofbdav3viV6qrr9MV1X4wLgHbY1sm3TqrOV6fxqXFVV1Vrcnoy7jvWXbVOH736o7GZsO7B7lkL7AEAKEfUbJWooRNDKc8fO3Ms6+9It29hqjqrxJDTekOran21Kb/3+y98X4dePaRzE+d0ZuyMtj23La7YvWOgQ4PHBzXlTKntxjbdv+F++Ywv7jtuv/H2WEDr3NupvoN96tzbWTItKgAAyBfCVolqvaF1TudTSbdvYaAhIH9NpH9StM7qxTdeTPr8QMeA2m5s0yW1l8Sdn3aSlwOjIal/uD82IxadzWpZ2aLE5erR86OSMhfYAwBQCQhbJWqgY0Dta9q1ZNESrbx0pZYsWqL2Ne0a6BjI+jt6W3vVs7FHTcub1LOxJ1azZTVa2rVpl7bcsiVWL5U4kzZ0YkhWo6Uffe5H+lLLl+KuVZnkPzaX1V2WdhyhkVBcvVZ1VXVs+TBV8AMAoJJQIA9JyTViicHOXWjfsrJFD/70QR05fUQT0zN1XT0be9SyskWbBzZrfGpcdb467e7YrQOnDmj7P27XlDMln/Fp68e2ZizWBwCg3GQqkCdsIaZjoENDJ4bUekNrVjNoax9ZG9etPvqWojs8SYoV41dXVev+DffT2gEAUHEyhS2WEUtQofcJjD7vd6/4Xb2x9Y2slyrT1YRZjZZ2tO2Q1WjF1WRNTk/GarUAAFgoaP1QYgq9T2Auz3NvDZSuj1f9onr5a/xJTU8BAFgoWEYsMemW5srpee4+Xv4av+776H0aPT9KTRYAoGKxjFhG0i3NeWU++xIGh4Ja9o1lWv6N5SmXOvuH++PaOYyeH40tKwIAsNCwjFhiWla2aN1V63R27Kw+98HPebqEaIdtDf5qMHbcvqZ91uclbusT/bl7SfEnJ38Su17nq2PpEACwoDGzVUKiy2+HXj2kM2Nn1LKyxdPnuYvXJenKxVfO+plUHd7d50Ijobhtfm67/jZmtAAACxphq4TMp5t6x0CHrth+hToGOub8vPk0FE0VnNznEr+zq7lrzuMCAKCSsIxYQgINAe08vDPtm3vRN/yeOvaUXn37Vflr/Xpn4h1J0p7n96hjoGNOHeYl6dZrb5UkdTV3ZTUD1dvaqxffeFE/DP9Qtb5adbd0xy09RrvT06QUAIAIwlYJyRRU3G/4RUWDVtSPj/9Y3YPdcZ9N15098Y3BbGeg7LCtp449pcnpSU06kymXOq1Gi5AFAMBFhK0Sky6oJNZXpTJ2YUx9B/u08/BO7dq0S9JM9/boueh3p1qyzCYgPfjTB2MbTE9OT+rBnz5IsAIAIIO81GwZY+4wxoSNMceNMV9Jcb3OGPO9i9cPGGOuy8dzFxJ3LZTbJbWXaMmiJWq4vEHTTmSz57ELY+of7ldwKBgXqPqH+2OfO/3uaRkZScn1WnbYVvdgd8pi+DNjZzIeAwCAeDmHLWOMT1KfpE9KWiOp0xizJuG2P5L0luM4N0r6K0nbc33uQhNdYtxyyxatvHSlqlSl1UtX6+2vvq03tr6hzzR9Rj7jkyTV+mr1zMln4pqVStJPTv5EdthWcCioPc/vkaNIQ9u2m9rilh0793aq72CfOvd2JgWuz3/w8xmPASBbti01N0vXXScFC7M7GVAU+VhG/Iik447jnJAkY8wTku6S9Lzrnrsk/dnFn++RtMMYY5xSbV9foqJLjDvadsSdt8O2Hv7Zw5pypuQzPtXX1aeccZqYmlBoJKSfvvTTuPPHzh6L/Xy25cVMW/QAQLZsW9q0SZqMVCVo28X2fb0J/0kJBiP3WlbyNaBc5GMZcaWkl13Hr1w8l/Iex3EmJY1KuiIPz4biO7ZPOVNxQavOV6daX62kmeXCTF3qs2kH0dvaqyP3HiFoAZi3UGgmaEXZCZULwWAkhB09GvmR2S+Uq5IqkDfG3CPpHklatWpVkUdTutxvGErSMyefSXlf0/KmWCByv5HoXjJMnJ2idQOAQggEpP7++MBlJfznJjF82TazWyhPOW9EbYz5PUl/5jjO7RePvypJjuP8V9c9T1+855+MMdWSXpO0LNMy4kLdiHo2iS0bbr32Vg0en9lyp0pVmta0/DX+uLcPAaDU2Lb04IPS2bPS5z6Xeglx28zuYOrpIWyhdGXaiDofM1sHJd1kjLle0ilJn5X0+wn32JL+QNI/SWqXNES9VrINj23Qod8c0rr3r9O+u/fFzrtnshJrqqTIcl80fN330fs0en40q1mp4FAwbnYrXU8uAPCCZSXPZrlFg5VtS6tXS6OjM/VbQDnJeWZLkowxbZIeluST9JjjOL3GmAclDTuOYxtjFkn6rqSbJb0p6bPRgvp0FtrM1obHNmj/y/tjx+uvWa99d+9Lmsn60IoPxd3XvqZdX/jgF2YNSYlBKnFD6fY17Rr81WDsOdnOiiUGtrleB4DZ2LbU2SmNjUl+v7RrF4ELpcfrmS05jjMoaTDh3AOun5+XNPfN+xaQQ785lPI4cSbr2JljcfcdO3ts1o7t7sAWbW76+C8fj7vnx8d/POcmp+7AFm0z4Q5Us10HgGyEQpGgJUV+DIUIWygvbERdBKmahq57/7q4e6LHiW8Htt7QGndfNrNPqdo5VFfF5+xLai6Z86bUiYEt8TixR1eqJqkAMJtAIDKjJUV+DMz+nyegpBC2Cig4FNS1D1+rTbs3JTUN3Xf3Pq2/Zr3qfHWxJUQpvpnprk27NNAxoJ6NPWpa3qSejT1ZzRSlaufQeEVj3D0fvurDsee03dSm4FBQwaHM71kv9S+NO04McJlaTGTqUg8AbpYVWTrcsoUlRJSnkmr9UEnssB3bHue347/VP//mn3V+6nzcPYnLde6ieLfEZcKWlS0aPT+achPoxDFE67RStXN45uQzGp8aV52vTl3NXbIaLR04dUB9B/skRZb+nj7+tB74+ANJwckO2xp5cyTu3CvnXonVZ0npG6CmWtakIB9AJrMV0wOlLC8F8l4o5wJ5O2yrY6BDE1MTGe+rrqrW3s175xQ0Egvm0wWVbO5L9fbh2kfWJm3zk/h5O2zrU098Krbdj9uWW7bE3ppMV7DfPdgdC3TRzyR2xQcAoJxkKpBnGTEPEpfEQiOhWYOWJE1OT+rAqQNzelaq+qv53mc1WqpfVK9N39sk8+dGV3/z6pThKPHzoZFQyqAlRWbLMu2tKGXXpR4AgEpB2JqH4FBQNQ/WyPy50RUPXZEULgINAVVl+Vs715qlbINKNvdF3xacdCItnE+9fUrfOfwdta9p1yU1l8Q2tq6uqtbfv/j3sRquQENARiblc4+dPZZVyHPXobGECACoZCwjzsEH+j4Qt2lzKtElseBQUF//x69r2pnOeH+2Re5u2TYfne2+VEuG0kyT1Fpfra657BqNvDVTm7XMv0xfXPdFSdL2f9yuKWcq41jrquq04tIV+twHP0fbBwBAxfK8z9ZCkE3Qcs8g9bb2qmVli4JDwbhAY2TkyJGR0aY1m+YVQGbrq+W+T1JsdinV24GJYavKVMVmpiamJvTWe2/FXT8zdiauGepsxqfH9dLoS7HPELgAAAsNy4hZevHsi2mvLfmdJSmXxKJv4EWX8yTJkaPqqmp9deNXNdAx4OmYo0Xy6eqnelt71bOxR9UmkrlrqmriZuKqTJUu/53LZ33OZXWXafXS1bPe9+1D357T2GkNAQCoBIStLP3u0t9NeX7lpSv1xv1vaEfbjpSzTdH6pKblTbFzk9OTGj0/6tlYo7Ipku9t7dWFBy7oB5/9gS5MX4i7Nu1Ma+StEVWZzH9Mzo2fm3XWT1LaovpEs4VEAADKCWErSy9seUGrl65Wlaq0eulqOV9z5HzN0StffmXWzybOcOX7Dbx0s0CpiuTT3ZvurUZJs9adZevW627N6r5s37gEAKAcULM1By9seWHen43OcGVT2D4XmRqEJj7zwKkDsaJ2971Xf/NqnXr7VNz3rl66Wr8e/bXGLoypuqpak9OTOY/1ysVXZnVfoCGgnYd3xnqE0RoCAFDOeBuxzCU2CG27sS3282hXeCkSyjbt3hQXmhoub9CJt07ELe8trl6sv2v/O1mNVtzbjAdOHdCjhx7VG2NvyJGjOl+dLqu7TGfGzmQ1zkwNWFPJ9o1LAABKQaa3EQlbJWK+4cLdrT66N2E0UFWZKj35mSdlNVpJoSwT52vp/0y4x7n1J1tnrdVaVb9Ky/zLUm75AwBApaD1Q4mbz16BwaGg7LCt1UtXxxqMOo4T1/dq2pnWgz99UFajFbc0l8nKS1emfMaVi69U/aJ6jZ4fVaAhoO37tqcMWu1r2jU2MabwG2GNvDWiX4/+Wr8e/bUOnDpA2AIALEiErRKQqiA8UzCJdn6XFNcnK1WD0egy33d/+V2dv3A+6Xqia993bcZnSMo4Q/ajF38kY0xSqLPDNj22AAALEm8jloC57hWY+CZhdGarzlen99W9L+6av8avG//bjdrz/B5Na/a3Cg/95lDKZ2Trvcn3Us6eZdOHCwCASsTMVgmY65uKiZ3fN63ZpLGJMf3k5E/02/Hfxt2bTf8rt3XvX6fgUFCn3zk9p8+5Rbvku7nfRKT4HQCwkBC2SkS2W/BIM1ve2GE71sOre7BbE8cnsn7eisUr9OGrPqzB44Oxc++re5/GJ8fjtuNZ6l+qW6+7VVcuvlL9w/2xTaszSQxa7tm6TPVphDAAQCViGbEMRQvXo0FLil+KTOeSmkvUvqZdztccvfqfXpW/Nv7+tyfe1qFXD8WdW3HJCg10DGhH2w7d/7H75zzWRb5FcYEqXcNSusYDACoVM1seyWWWZsNjG3ToN4e07v3rtO/ufXHXUhWu97b2ymq0tKp+Vdplw9VLV8easkbH9vNTP4+7J1WBvXvsva29+vpzX8+q9ivqwvQF/bH9x1pVv0rXX369fn7q57EmqXW+Op1862QsPM7lJQEAAMoFfbY84F4qm2szzw2PbdD+l/fHjtdfsz4ucK19ZG1cvVbT8iYdufeIJKnmL2pSdnpfVL1I7wXfSxqbz/jiAlb02Gd8WnnZSn3+g59Xb2uvPtD3AYXPhlVfV59UEzZfKxav0Jvn39TEVPLS51x/zwAAKLZMfbZYRvTAfPb2Cw4FtfaRtfrZKz+LO+9+O7B7sDvprT53IKmrqkv63tVLV8eCVuLY3EFr/TXr5avySYrUXH3+g59Xy8oWXb79ch07e0yOnJRBy2d8alrepHVXrZv11+j22ruvpQxaS/1LCVoAgIpC2PLAXFs5RJcGj75+NGnT53XvXxdXzzT4q0G1r2lX0/Im9WzsidVsBYeCenfy3bjP9mzsSdrPMV1t17nxc7HwM+1Ma9tz23TXE3fpt+czz2Qt+Z0lOnLvET3w8QdiHewlqbqqWlUm8x8vn/ElnTs7dlYHTh3I+DkAAMoJYcsD0VYObTe26dZrb5U0M3MVHAomHScWg/uMT9VV1bElxMSZsisXX6kj9x6JaxKaqqB89PxoxrFF+3NVmSpZjVZcWMpW4puHklSlKt2/4X49+Zknte6qdVrmX6Z1V63T+mvWx+6p9dXKGJPyOymOBwBUEgrkPfTsS89GlhFPhGK1VEdfP6pn/+3ZWF3W0dePxoUQKbK856/2a+uGrZIUt9VO4kzZFQ9doTffe1NVCbm5uqo67Yya1Whp+77tsaA07UzrO4e/o8sXXa6zY2dTBqh07ll3j+ywrS/9zy/Ffo3TmtbhVw/HCvfdosX5J986Gdd2InF8AABUCgrk8yybMFHnq9P41HjsuGl5k6xGS3998K/15vk3Y+e33LJFO9p2xH2v++3GaNByW+ZfplX1q3T7jbfH9jFMFV58D/qSliyjVixeodfefS3uXJWq4t5CrFKVvrLxK2pZ2aLNA5vjfj1SJOx9avWnNNAxkPT9V3/zap16+1TsuNZXqyWLluidC+/ojhvv0Bc++AX6bQEAykqmAnnCVh653/Sr89XJkaOJqYlYq4Oo9desj3vjMFp7Nde3GM2fJy/Dbblli+oX1cfaQ1SZKj35mSeTvsff69d7k+8lfV6aCX9/9U9/pYnJCbVc06KXfvtSXEBaeelKvfLlV3Tn43emDZVSJJQ9+dmZ5ycGrSpTpa987Ct6+GcPJ/2+8VYiAKBc8DZigbhrq8anxvWJ6z+hLbds0d7Ne9WzsSdW1L7v7n1xx9Haq2g91ZZbtmQVMpb8zpKkc+6gJUWWCD/9vU/L/LlR3V/UxWrG/uPv/ce03xttljoWHNPk1ya17+59eu9CfDBLPE5nWtO664m7YnVY7qAVHd/3jn4v7vctWqif7ZucAACUMma28iiX/lrzFV1KrKuq0+7NuxUaCanvYF/Gz0QDnrsTfXT8l9VdpnPj5+K600tSx0CH9jy/J3a8qHqRzk+eT1oSTSe6JHrJtkv07oX4tyYvqb1E0840M1sAgLKVaWaLAvk8muuG0vnwxv1vJJ371sFvZSxyt8O2elt7Y/+4pepOb4dtjU2MqcpUxeq8zk+el6RY0IpuPp1qE2pJsWL9v9v0d7rribviriXWaX33l9/V0Ikhtd7QStACAJQ9ZrYqkB221fX3XTr73llNTU8lhR/30qVbYnf6Zf5l8tf4dertUyk707slFtBHLa5erD/5vT+JK9a3w7a+/PSXdfqd07rjpjviiujd2xFlGisAAKWEAvkFKLpE+MLrL2hKri155NPk11IHp8Sgk6um5U26rO6y2MsA2SwLZtqOCACAUsUy4gISHArq24e+rTNjZ1Jeb7mmJfbzxA2vozNIdtjWa++8prNjZ7N6ZrpZrX/77b/pnYl3YsfZbDBtNVpxYYtlRABAuSNsVZBsZqZuve5WSfEbXu9/eb82PLZBWzds1ej5UfW29urAqQNZz3KlClqS4oJWVP2i+pQ9w6LcgS+xSB8AgHLEMmIFSVyCSyW6LLfo/14U9xZhdVW1an21cW9S/v6e30/abzFXtb5aTU5PatqZls/49P3PfJ/ZKwBA2aPPVgWww7a6B7tj/aoS91qUsltyi96z7v3r4s4v/Z2lcfsvhkZCurTu0jmNsbqqWisWr8h4z8TUROyNxilnSl9++stzegYAAOWGZcQy4O7ftfPwTrXd1BbreeVu0RBdckus2VqxeEWkh1V1Xezcvrv3xdVsbd2wNfYMI5O2V9f6a9br56d+nvLtxMANkfYOmTrKJzp17tTsNwEAUMaY2SoxiTNYUnxn+rELYxo6MZT0maje1l5decmVcddHx0d1buKczoyd0bbntsVmw/bdvU/n/8t57bt7X6xHWHVVddoeXbVVtbp5xc1xQctnfJIibxp2NXfJX+uf06935WUr53Q/AADlhrBVQqIzWH0H+9S5tzMWogINAflrIiHGX+NX6w2tcZ9LXD5MPE7cA/GhfQ/FLT9GHTh1IGM/reaVzUlj2fqxrXHbCx07eyzjr7F9TXssoPmMT9+8/ZsZ7wcAoNyxjFhCEmewom0SUnWmd2+1k/jG3mwtHCanJ2NvGro/654hS2X/y/u19SdbtdS/VMv8y/TAxx+IC3bBoaBOv3M67efXX7NeAx0DGd9GBACg0vA2YgnxYm/FTO0gEhuGprr3ktpLUrZwkOK7u2fTdoK9DgEAlYq3EctEdAbLvSyXq97WXrWvaZeRSbq2eunquPqw3tZe9Wzs0bX112rdVev0g8/+QF9q+VLa73bPhO04sGPWsURn61LVpQEAUKlYRiwx0WXDfLpy8ZVxRe9LFi1R6w2tGvzVYOwNx2i4S9yc2mq09OIbL8befkwca9TE1MSs4/DX+FW/qD7uzUpmugAAlY6ZrSIo9MzO6Xfj66hqfbX68fEfJ9WHpTPQMaCejT2qropkcyOj9jXtcUuItb7apM+tv2a9ttyyRT0be2KzdaPnR7N+LgAAlYCZrQJL7Jnl9cyOHbb11LGn4s699u5rccf+Gr8CDYFZt9FpWdmi/uF+SdIXPvgFScm1WlWqkq/Kp7tW36WBjoGk8Wzftz3u+Bev/WL+vzgAAMoAYavA0r1xmKt0QSk0EsrYzmHJoiXa+amdkhQXAu/76H0aPT+a9H3PvvSsxi6M6dmXntV9H71P39j3jbjvW1y7WOe+ei7tuI6diW8NkXgMAEClYRmxwBL7VAUaAjl/Z7r+XInPS+U/3PIfZDVaSSHwoX0PJX1f4j3b/3G7LkxfiPu+C1Mzx6nGldgjLPEYAIBKQ9gqMC/eOEw1W5b4vLYb21Tni2zXY2S0zL8srnWDO5T5jC82G+b+vkBDIK42a8qZShrLv2v8dxnHNdAxoPY17VqyaIna17SnXGoEAKCS0GerDCU2NM22P5d7SU9S0rJj9Prpd0/HvX3oDkV3Pn5n2r0P11+zXvvu3hf3vGz7htHoFABQzjL12SJslSj3JtHuAJNYkB6dnZpLWJktBHUPdsdtRF1dVa29m/fKarT0gb4PpN2SZ8stW7SjLb7fVjbj8qKZKwAAhURT0zKz4bEN2v/yfo1PjWv/y/u14bENsWuJ7SKix1ajpR1tO7IKKZmWHaXIcmF0/0Ipsr1PaCSk4FAwbdBKV3+WzbhmGw8AAOWMsFWCDv3mUNrj2TadzsZsRfpWo6WtH9sa66vlbg2RqH1Ne871Z168NAAAQKmg9UMJWvf+ddr/8v644yj3JtOpNqGeTXAoqEcPPapqU611V61L2kza/ZyWlS1xS4AHTh3Q0dePxu6Jbiydq1QbbQMAUCmo2cqjfBZ5p6vZSiexaD7dPYmbRbvfSHRL92vJ5jkAACw0FMgXgBdF3tmGt3RF84nWPrI2bmZKkpqWN+nIvUc8/7UAAFDJKJAvgHwXeWdqVBoVHApq7SNr9eihR5M+m8rqpauTzqUKUal+LYXezxEAgEpB2MqTfBd5zxbeorNZR18/qrNjZ+OupQpQwaGgnnzhybhz7s2k0/1afMan0++enjX4AQCA1AhbeZLvzvCzhbfEwLPMv0xNy5uSlhCDQ0Et+8YybXtuW1LH9ysXX5n213LfR+9TdVW1ppwpPXXsKVozAAAwT7yNmEdWo5W32qbZ3tCzGq24+qsvrvti0ixVqoL4qFpfbcbZt9Hzo7EteyanJ+UzPk05U7RmAABgjnIKW8aYJZK+J+k6Sf8mabPjOG8l3PMhSY9IukzSlKRex3G+l8tzF4pM4S2bFhB/+8u/TfvdN1x+g6xGK20RfqAhoL/557/R+NS46nx1+tP1f6rR86O0ZgAAYI5yndn6iqRnHMf5ujHmKxePtybcMybp3zuO8ytjzPslHTLGPO04zm9zfPaC19vam7b9gh229Zu3f5P2syffOhn31uHOwzuTlj8dObEfW1a2ELIAAJiHXGu27pL0nYs//46kTyXe4DjOi47j/Oriz38j6XVJy3J8LtKIvjXYP9wfWwZMZd3712Uswu8f7tfE1IQkaWJqgjotAADmKdeZrSsdx3n14s9fk5S64voiY8xHJNVKGsnxuUjBPVNV66tNul5bVStjTKxRqh22tfPwzlg/rfpF9brz8Tt1+t3T+pfT/xL7XJ2vjjotAADmadawZYz5iaQVKS4F3QeO4zjGmLQdUo0xV0n6rqQ/cBxnOs0990i6R5JWrVo129CQoH+4PzZTNTE1ocvqLtO58XOx62uvXKvhe2YaxbqL8OsX1esv9/+lxqfGk773tutvYwkRAIB5mjVsOY7ziXTXjDGnjTFXOY7z6sUw9Xqa+y6T9CNJQcdxfpbhWY9KelSKdJCfbWyIvHH47UPf1vjkuM5NnIu71rS8KW6PxdtvvD3p89Ei/O7B7pRBy1/jV1dzV/4HDgDAApFrzZYt6Q8u/vwPJP0g8QZjTK2kJyX9D8dx9uT4PLhEWzucGTuTFLQkxc1qSZF2DukEGgKq89XFjqurqtV2Yxtb9QAAkKNcw9bXJf0fxphfSfrExWMZY5qNMX9z8Z7Nkv53SX9ojDl88Z8P5fjcBSe6NU9w1gC/rAAADvpJREFUKBg7/sv9f5n2/ipVyWq0su5qbzVa2t2xW203tqntxjbt3bxXP/rcjwhaAADkiI2oy0Bic9L116yPWx5M5DM+bf3YVvW29ma9mTUAAJi/TBtR00G+DCRuzfPzUz9PeV9NVY3uWXdPXLDKZ1d7AADKRW2tdOHCzHFPj9SbujWl5whbZSBxa57p1C9z6q7Vd2lH245CDQsAgJKUGLQkadvFBaJiBC42oi4Dva296tnYo6blTVp31bqUYavKVOkLH/xCEUYHAEBpSQxaUY8/XthxRBG2ykRva6+O3HtED3z8gVjRu8/4Ytennem0Xd7tsK3mR5t13cPXxQrsAQCoVDU1qc8vXVrYcUSxjFhmEhuRPvyzh+M6wHcPdsfVbNlhW5t2b4pt3RMttE+3pyIAAOVuYiJ5KbG6WnrggeKMh7BVhtxF7y0rW5KCl3tT6dBIKGmPRDtsE7YAABVtIrK9r2xbCoWkQECyivS+GMuIZc5qtLSjbYdGz4+m3FQ60BBQdVV10mcAAFgILEvasaN4QUsibM2ZHbbVPdid1I6h2AINgZQNTK1GS3s379W6q9bp2vpr1bOxh1ktAAAKiKamc2CHbXXu7YzVSHm5lc18mpGm+gxNTQEA8B5NTfMkNBJKWqrzIsC4Q527/mo2iQ1M5/s9mcbVP9wvSepq7iK8AQCQBZYR5yDdUl027LCtOx+/U3c+fuesS5CpQt185Ot7pMj4Nw9s1uDxQQ0eH1THQEfJLaUCAFCKmNmaA3fbhbku73UMdGhiKvJqxNMjT8f2LkwUHArqhy/+UEZGjhxVV1XPKdS5BRoC2nl4Z2zZc77fI0WC2/jUeOx4YmpC/cP9LFECADALarYKoHuwW30H++LO+YxP3//M9+NCSuKG01G5FLXnq2YrOrMVDVzVVdXyGZ/Gp8Y9r18DAKDUUbNVZKffPZ10bsqZSqr5Srcsl0tfrHxtRG01WtrdsVv9w/06/e5pnR07q5dGX5KUff1aNPjVL6rX6PlRZsQAAAsCYasAjp09lnQu1bJe4obT7vOlIDqOaNF9VDZLlO5i/ah8FO0DAFDqCFsFkBiiGi5vUOMVjUn3RWev7LCty+ou07nxc7IarZLoixWdlTr51sm4wNS0vEm9rb2zBiZ3sX6Ul290AgBQKghbHrPDtkbPj6p9TbuOnT2m1UtXa/BXgxp5a0TPvvRs0sxOb2uvWla2qH+4X++re59aVrYUcfQR7lmpWl+t6nx1Gp8al8/4sl6mdBfrR0VnxOgFBgCoZIQtD6Vqgjpbr67ENxefOfmMdnfsLmoIcY95YmpC665ap385/S+anJ7Uwz97WC0rW2YdX+IG2tGaLUl57QUGAECpoc+Wh1IFq9l6dYVGQrGgJUnjU+M59cfKh8QxX7n4ytjm1nPp33Xg1AH99KWfSpJ2tO2IbZSdr15gAACUIsKWh1IFq+gMz5ZbtqScxQk0BFTrq40d1/nqcuqPlQ+JY+5q7ppzc9doW4ujrx/Vtue2KTgUlJRbo9hCKNW9MAEA5YM+Wx6bT7uDctgWZ651VmsfWRv3kkDT8iYduffIvL6rUAq5FyYAoLzRZ6uIEtslZFOXlK/eWF6a6xgT38h0f7YUfr2pAl+h9sIEAFQ2lhELIF1d0kJaoupt7VXPxh41LW/KqSO+F6IzWH0H+9S5tzP276PUlzgBAOWBZcQCSLUcJYklqhKRuJ3Sllu2aEfbDkmlu8QJACgtmZYRmdkqgFRF8QvxLbxSncnLNINlNVqxNycBAJgPZraKZKEVX5f6r5cZLABALiiQL0HuJp8L4S/4XIvNvQ5DpVCkDwCoTCwjFtFCWqLKpdjcXcC+afemWI8uAADKAWErj0q1JqkUWI2W2m5q05JFS9R2U9ucAqZ7VmxyelJff+7r/B4DAMoGYStP0rUPQERwKKg9z+/Rm+ff1J7n98xpdirQEFCVmfmjOq3pWNNXAABKHWErC9nMWC3EtwvnIvH3bi5h1Gq0dPOKm/M9JAAACoKwlYEdtnXn43dq88DmWWesaICZWeKy4Vzr1B74+AOq89VJiuwX2dXclbexAQDgJd5GTMMO29o8sFnjU+Oxc5neoltobxfOVbRjvB22ZTVac+4gbzVa2t2xm99fAEDZoc9WGnc+fqcGjw/Gnavz1Wl3x27+ogcAAHHoIJ8nt11/G0ErA97GBAAgGWErja7mLlVXzayyUieUGW9jAgCQGmErDavR0t7Ne9V2Y5vabmxj+XAWvI0JAEBqFMhnkM8tXCp9771AQ0A7D++M7X3I25gAAERQIF8Apb4Jc75UeqAEACAdNqIuslw3YS4XbOYMAEAyarYKgIanAAAsXAt6ZqtQy140PAUAYOFasDVbC6WOCgAAeI+mpinQqgAAABTCgg1b1FEBAIBCWLA1W9RRAQCAQliwYUuiVQEAAPDegl1GBAAAKATCFgAAgIcIWwAAAB4ibAH4/9u7/1C76zqO48+XTZOh5q+aK52WzJEYmF1E/ygL5xD/uAqGOZI2EEXF/rGCgf9E/qOF/REJtSxaQstSygsunJoxCCcuTFFjbrNfN6czKyFGZfTuj/MtrvPcnbPO+Z4f8/mAL+fzvd8PfN+89z13r/P9ca4kqUWGLUmSpBYZtiRJklpk2JIkSWqRYUuSJKlFhi1JkqQWGbYkSZJaZNiSJElqkWFLkiSpRYYtSZKkFhm2JEmSWjRQ2EpyYpKHk+xqXk84yNzjkswn+fog+5QkSZomg57Z2gA8WlUrgUeb9cXcBmwbcH+SJElTZdCwdTmwqRlvAq7oNinJR4BlwNYB9ydJkjRVBg1by6pqbzN+mU6gepMkRwB3Ap8fcF+SJElTZ0mvCUkeAU7psunWhStVVUmqy7ybgC1VNZ+k176uB64HWLFiRa/SJEmSJl7PsFVVqxfbluSVJMuram+S5cC+LtMuBD6a5CbgGOCoJH+rqrfc31VVG4GNADMzM92CmyRJ0lTpGbZ6mAPWAbc3rw8cOKGqPv3fcZL1wEy3oCVJknQ4GvSerduBS5LsAlY36ySZSXL3oMVJkiRNu1RN5tW6mZmZ2rFjx7jLkCRJ6inJL6tqpts2v0FekiSpRYYtSZKkFhm2NHHmds5x85abmds5N+5SJEkamGFLE2Vu5xxr71/LXU/exdr71xq4JElTz7ClibJ1z1b2v7EfgP1v7GfrHv/CkyRpuhm2NFHWnLmGpUcuBWDpkUtZc+aaMVckSdJgBv1SU2moZlfNsvnKzWzds5U1Z65hdtXsuEuSJGkghi1NnNlVs4YsSdJhw8uIkiRJLTJsSZIktciwJUmS1CLDliRJUosMW5IkSS0ybEmSJLXIsCVJktQiw5YkSVKLDFuSJEktMmxJkiS1yLAlSZLUIsOWJElSiwxbkiRJLTJsSZIktciwJUmS1CLDliRJUosMW5IkSS0ybEmSJLXIsCVJktQiw5YkSVKLDFuSJEktSlWNu4aukrwK/G7cdfRwMvCncRdxGLCPw2Efh8M+Dod9HA77OByj6OPpVfXubhsmNmxNgyQ7qmpm3HVMO/s4HPZxOOzjcNjH4bCPwzHuPnoZUZIkqUWGLUmSpBYZtgazcdwFHCbs43DYx+Gwj8NhH4fDPg7HWPvoPVuSJEkt8syWJElSiwxbhyDJiUkeTrKreT2hy5xzkzye5LkkzyT51DhqnURJLk2yM8nuJBu6bH9nknub7U8kOWP0VU6+Pvp4S5Lnm+Pv0SSnj6POSderjwvmXZmkkvhEWBf99DHJVc0x+VyS74+6xmnQx/t6RZLHkjzVvLcvG0edkyzJd5LsS/LsItuT5GtNj59Jct7Iiqsqlz4X4MvAhma8Abijy5yzgJXN+L3AXuD4cdc+7gV4B7AH+ABwFPA0cPYBc24CvtGMrwbuHXfdk7b02cdPAEub8Y328f/rYzPvWGAbsB2YGXfdk7b0eTyuBJ4CTmjW3zPuuidt6bOPG4Ebm/HZwG/HXfekLcDHgPOAZxfZfhnwUyDABcATo6rNM1uH5nJgUzPeBFxx4ISqeqGqdjXjl4B9QNcvOXubOR/YXVUvVtU/gR/Q6edCC/t7H3BxkoywxmnQs49V9VhV7W9WtwOnjrjGadDP8QhwG3AH8PdRFjdF+unjdcBdVfUXgKraN+Iap0E/fSzguGb8LuClEdY3FapqG/Dng0y5HPhedWwHjk+yfBS1GbYOzbKq2tuMXwaWHWxykvPpfErZ03ZhU+B9wB8WrM83P+s6p6r+BbwOnDSS6qZHP31c6Fo6n+T0Zj372FxiOK2qHhxlYVOmn+PxLOCsJL9Isj3JpSOrbnr008cvAtckmQe2AJ8dTWmHlUP9/Tk0S0axk2mS5BHglC6bbl24UlWVZNFHOZu0fA+wrqr+Pdwqpd6SXAPMABeNu5Zpk+QI4KvA+jGXcjhYQudS4sfpnGXdluRDVfXXsVY1fdYC362qO5NcCNyT5Bz/f5kOhq0DVNXqxbYleSXJ8qra24SprqfDkxwHPAjc2pyqFPwROG3B+qnNz7rNmU+yhM6p8tdGU97U6KePJFlN5wPCRVX1jxHVNk169fFY4Bzg582V7FOAuSSzVbVjZFVOvn6Ox3k698a8AfwmyQt0wteToylxKvTTx2uBSwGq6vEkR9P5e39elu1fX78/2+BlxEMzB6xrxuuABw6ckOQo4Md0rgvfN8LaJt2TwMok7296dDWdfi60sL+fBH5WzV2N+p+efUzyYeCbwKz3xyzqoH2sqter6uSqOqOqzqBz75tB6636eV//hM5ZLZKcTOey4oujLHIK9NPH3wMXAyT5IHA08OpIq5x+c8BnmqcSLwBeX3BrUKsMW4fmduCSJLuA1c06SWaS3N3MuYrOExHrk/yqWc4dT7mTo7kH62bgIeDXwA+r6rkkX0oy20z7NnBSkt3ALXSe+NQCffbxK8AxwI+a4+/AX9pve332UT302ceHgNeSPA88BnyhqjxjvUCfffwccF2Sp4HNwHo/jL5Zks3A48CqJPNJrk1yQ5Ibmilb6AT93cC36DwBP5ra/LeSJElqj2e2JEmSWmTYkiRJapFhS5IkqUWGLUmSpBYZtiRJklpk2JIkSWqRYUuSJKlFhi1JkqQW/QdTd4t2fY+QXQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#4_mers dataset\n",
        "dataset_clustering('/content/drive/MyDrive/Bio_project/NC_008535.1/4/kmers_dataset.csv', '/content/drive/MyDrive/Bio_project/NC_008535.1/4', '/content/drive/MyDrive/Bio_project/NC_008535.1/X33Z0KDD01R-Alignment-Descriptions.csv')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "0J1umprEJGjH",
        "outputId": "7c93a126-ded1-485d-b1ce-cf76e9f1f07b"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "          0         1         2    ...       253       254       255\n",
            "0    0.866328  0.857311  0.908003  ...  0.891938  0.911788  0.950787\n",
            "1    0.866328  0.857311  0.908003  ...  0.891938  0.911788  0.950787\n",
            "2    0.866328  0.857311  0.908003  ...  0.891938  0.911788  0.950787\n",
            "3    0.866328  0.857311  0.908003  ...  0.891938  0.911788  0.950787\n",
            "4    0.866328  0.857311  0.908003  ...  0.891938  0.911788  0.950787\n",
            "..        ...       ...       ...  ...       ...       ...       ...\n",
            "995  0.866328  0.845519  0.859387  ...  0.783305  0.864949  0.883160\n",
            "996  0.846362  0.854953  0.869110  ...  0.814180  0.871194  0.900569\n",
            "997  0.865990  0.850236  0.874346  ...  0.795312  0.879781  0.904252\n",
            "998  0.892047  0.836085  0.870606  ...  0.792453  0.880562  0.908269\n",
            "999  0.850761  0.851415  0.873598  ...  0.805031  0.863388  0.900569\n",
            "\n",
            "[1000 rows x 256 columns]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/manifold/_isomap.py:322: UserWarning: The number of connected components of the neighbors graph is 32 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.\n",
            "  self._fit_transform(X)\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#3_mers dataset\n",
        "dataset_clustering('/content/drive/MyDrive/Bio_project/NC_008535.1/3/kmers_dataset.csv', '/content/drive/MyDrive/Bio_project/NC_008535.1/3', '/content/drive/MyDrive/Bio_project/NC_008535.1/X33Z0KDD01R-Alignment-Descriptions.csv')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "qYYABSYBefE4",
        "outputId": "9c4c62af-5e56-448a-bcd7-c1a3781e1e4b"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "           0         1         2   ...        61        62        63\n",
            "0    0.893994  0.903666  0.881228  ...  0.896637  0.912883  0.958117\n",
            "1    0.893994  0.903666  0.881228  ...  0.896637  0.912883  0.958117\n",
            "2    0.893994  0.903666  0.881228  ...  0.896637  0.912883  0.958117\n",
            "3    0.893994  0.903666  0.881228  ...  0.896637  0.912883  0.958117\n",
            "4    0.893855  0.903666  0.881228  ...  0.896637  0.912883  0.958117\n",
            "..        ...       ...       ...  ...       ...       ...       ...\n",
            "995  0.870112  0.883385  0.878621  ...  0.800656  0.896708  0.893886\n",
            "996  0.857263  0.907566  0.881808  ...  0.825677  0.896141  0.904989\n",
            "997  0.869832  0.887676  0.884705  ...  0.810500  0.909194  0.904849\n",
            "998  0.877654  0.882995  0.883256  ...  0.808860  0.908910  0.906676\n",
            "999  0.860615  0.906396  0.884125  ...  0.822806  0.893587  0.904849\n",
            "\n",
            "[1000 rows x 64 columns]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/manifold/_isomap.py:322: UserWarning: The number of connected components of the neighbors graph is 16 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.\n",
            "  self._fit_transform(X)\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n",
            "/usr/local/lib/python3.7/dist-packages/scipy/sparse/_index.py:84: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n",
            "  self._set_intXint(row, col, x.flat[0])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x792 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}