Non_Representative_Statistics_Estimation_Smells.ipynb

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      "name": "Non_Representative_Statistics_Estimation_Smells.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "mount_file_id": "1XEhbtlu5GwZ3YsvePw8HRJQPIsKgOHtb",
      "authorship_tag": "ABX9TyN5lNizkyu2V00m3hrMswbN",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/saeedsiddik/CMPUT501/blob/main/Non_Representative_Statistics_Estimation_Smells.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "D1N4nB_IkXj4"
      },
      "outputs": [],
      "source": [
        "import re\n",
        "import ast\n",
        "import glob, os\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "\n",
        "drive.mount('/content/gdrive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zmfjsPz3ksrP",
        "outputId": "31254782-3cac-4613-a3d8-36ce96be6f82"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "gdrive_path = \"/content/gdrive/MyDrive/Colab_Notebooks/ECE720_MLSE/\""
      ],
      "metadata": {
        "id": "8ohfAw7WzNtC"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def get_list_of_filename(path, extension):\n",
        "    notebook_filenames_list = glob.glob(os.path.join(path, extension))\n",
        "    \n",
        "    print(len(notebook_filenames_list))\n",
        "    return notebook_filenames_list"
      ],
      "metadata": {
        "id": "PD-VtCVez2eh"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "list_of_py_files = get_list_of_filename(gdrive_path+\"data/\", \"*.py\")\n",
        "list_of_py_files"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wEzJVWbzz6jR",
        "outputId": "96afaf57-d8eb-4f81-e00a-5cee78edc935"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "4\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['/content/gdrive/MyDrive/Colab_Notebooks/ECE720_MLSE/data/so34716454.py',\n",
              " '/content/gdrive/MyDrive/Colab_Notebooks/ECE720_MLSE/data/so55776436_2.py',\n",
              " '/content/gdrive/MyDrive/Colab_Notebooks/ECE720_MLSE/data/so55776436_3.py',\n",
              " '/content/gdrive/MyDrive/Colab_Notebooks/ECE720_MLSE/data/so55776436_1.py']"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "file_name_list, code_line_list, line_number_list = [], [], []\n",
        "for filename in list_of_py_files:\n",
        "    try:\n",
        "        with open(filename) as fp:\n",
        "            is_dl_project = False\n",
        "            line_number = 0\n",
        "            \n",
        "            lines = fp.readlines()\n",
        "            for line in lines:\n",
        "                line_number += 1\n",
        "                line = line.strip()\n",
        "                if re.match(r'^from |import ', line):\n",
        "                    package_name = line.split()[1].split('.')[0]\n",
        "                    if re.match(r'keras|tensorflow', package_name):\n",
        "                        is_dl_project = True\n",
        "                \n",
        "                if (is_dl_project):\n",
        "                    if (\"BatchNormalization()\" in line) or (\"Dropout(\" in line):\n",
        "                        file_name_list.append(filename)\n",
        "                        code_line_list.append(line)\n",
        "                        line_number_list.append(line_number)\n",
        "                        \n",
        "                        # print (filename, line_number, line)\n",
        "    except Exception as e:\n",
        "        print(\"Error : \", filename, \"; \", str(e))\n",
        "        pass \n"
      ],
      "metadata": {
        "id": "61jUVs6p0K7E"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data = {'Filename':file_name_list, 'Code': code_line_list, 'LineNumber':line_number_list}\n",
        "df_dl_smell = pd.DataFrame(data)\n",
        "df_dl_smell"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "fLqCDjPV0MxF",
        "outputId": "7f825b43-9c99-40c6-e91a-972627dc1321"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                            Filename  \\\n",
              "0  /content/gdrive/MyDrive/Colab_Notebooks/ECE720...   \n",
              "1  /content/gdrive/MyDrive/Colab_Notebooks/ECE720...   \n",
              "2  /content/gdrive/MyDrive/Colab_Notebooks/ECE720...   \n",
              "3  /content/gdrive/MyDrive/Colab_Notebooks/ECE720...   \n",
              "4  /content/gdrive/MyDrive/Colab_Notebooks/ECE720...   \n",
              "5  /content/gdrive/MyDrive/Colab_Notebooks/ECE720...   \n",
              "6  /content/gdrive/MyDrive/Colab_Notebooks/ECE720...   \n",
              "7  /content/gdrive/MyDrive/Colab_Notebooks/ECE720...   \n",
              "8  /content/gdrive/MyDrive/Colab_Notebooks/ECE720...   \n",
              "\n",
              "                              Code  LineNumber  \n",
              "0  model.add(BatchNormalization())          12  \n",
              "1          model.add(Dropout(0.5))          14  \n",
              "2  model.add(BatchNormalization())          18  \n",
              "3          model.add(Dropout(0.5))          20  \n",
              "4  model.add(BatchNormalization())          24  \n",
              "5          model.add(Dropout(0.5))           6  \n",
              "6  model.add(BatchNormalization())           7  \n",
              "7          model.add(Dropout(0.5))           6  \n",
              "8  model.add(BatchNormalization())           7  "
            ],
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              "\n",
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              "      <td>model.add(BatchNormalization())</td>\n",
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              "      <td>model.add(Dropout(0.5))</td>\n",
              "      <td>14</td>\n",
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              "      <td>18</td>\n",
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              "      <td>20</td>\n",
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              "      <td>6</td>\n",
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              "      <td>7</td>\n",
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              "      <th>7</th>\n",
              "      <td>/content/gdrive/MyDrive/Colab_Notebooks/ECE720...</td>\n",
              "      <td>model.add(Dropout(0.5))</td>\n",
              "      <td>6</td>\n",
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              "      <th>8</th>\n",
              "      <td>/content/gdrive/MyDrive/Colab_Notebooks/ECE720...</td>\n",
              "      <td>model.add(BatchNormalization())</td>\n",
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