datasets.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/site-packages/outdated/utils.py:14: OutdatedPackageWarning: The package outdated is out of date. Your version is 0.2.1, the latest is 0.2.2.\n",
      "Set the environment variable OUTDATED_IGNORE=1 to disable these warnings.\n",
      "/usr/local/lib/python3.10/site-packages/outdated/utils.py:14: OutdatedPackageWarning: The package pingouin is out of date. Your version is 0.5.2, the latest is 0.5.3.\n",
      "Set the environment variable OUTDATED_IGNORE=1 to disable these warnings.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import plotnine as pn\n",
    "import pingouin as pg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def build_df(file, benchmark):\n",
    "    \"\"\"\n",
    "    Build a dataframe from the CSV of diff sizes of a dataset.\n",
    "    \"\"\"\n",
    "    df = pd.read_csv(file)\n",
    "    df['TOTAL'] = df[\"INSERTED\"] + df[\"DELETED\"] + df[\"MODIFIED\"]\n",
    "    df['BENCHMARK'] = benchmark\n",
    "    return df\n",
    "\n",
    "def single_violin(df):\n",
    "    \"\"\"\n",
    "    Build a violin plot from one dataset diff sizes.\n",
    "    \"\"\"\n",
    "    return pn.ggplot(df, pn.aes(x='BENCHMARK', y='TOTAL')) + pn.geom_violin(df) + pn.scale_y_log10() + pn.xlab('') + pn.ylab('Diff size')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (316820318)>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bip_data = build_df('bugsinpy.csv', 'BugsInPy')\n",
    "single_violin(bip_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (316841546)>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ghp_data = build_df('gh-python.csv', 'GhPython')\n",
    "single_violin(ghp_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (317040220)>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d4j_data = build_df('defects4j.csv', 'Defects4J')\n",
    "single_violin(d4j_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (317089729)>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ghj_data = build_df('gh-java.csv', \"GhJava\")\n",
    "single_violin(ghj_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>INSERTED</th>\n",
       "      <th>DELETED</th>\n",
       "      <th>MODIFIED</th>\n",
       "      <th>FILENAME</th>\n",
       "      <th>TOTAL</th>\n",
       "      <th>BENCHMARK</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>bugsinpy/before/keras/32/keras_callbacks.py</td>\n",
       "      <td>17</td>\n",
       "      <td>BugsInPy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>bugsinpy/before/keras/35/keras_preprocessing_i...</td>\n",
       "      <td>19</td>\n",
       "      <td>BugsInPy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>bugsinpy/before/keras/34/keras_utils_data_util...</td>\n",
       "      <td>6</td>\n",
       "      <td>BugsInPy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>bugsinpy/before/keras/34/keras_engine_training.py</td>\n",
       "      <td>20</td>\n",
       "      <td>BugsInPy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>bugsinpy/before/keras/33/keras_preprocessing_t...</td>\n",
       "      <td>17</td>\n",
       "      <td>BugsInPy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   INSERTED  DELETED  MODIFIED  \\\n",
       "0        11        6         0   \n",
       "1        16        3         0   \n",
       "2         6        0         0   \n",
       "3        16        4         0   \n",
       "4        13        4         0   \n",
       "\n",
       "                                            FILENAME  TOTAL BENCHMARK  \n",
       "0        bugsinpy/before/keras/32/keras_callbacks.py     17  BugsInPy  \n",
       "1  bugsinpy/before/keras/35/keras_preprocessing_i...     19  BugsInPy  \n",
       "2  bugsinpy/before/keras/34/keras_utils_data_util...      6  BugsInPy  \n",
       "3  bugsinpy/before/keras/34/keras_engine_training.py     20  BugsInPy  \n",
       "4  bugsinpy/before/keras/33/keras_preprocessing_t...     17  BugsInPy  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.concat([bip_data, d4j_data, ghp_data, ghj_data], ignore_index=True)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/site-packages/plotnine/ggplot.py:718: PlotnineWarning: Saving 6.4 x 4.8 in image.\n",
      "/usr/local/lib/python3.10/site-packages/plotnine/ggplot.py:719: PlotnineWarning: Filename: sizes.pdf\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (318712187)>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot = pn.ggplot(data, pn.aes(x='BENCHMARK', y='TOTAL', fill='BENCHMARK')) + pn.geom_violin(data, show_legend=False, draw_quantiles=[0.25, 0.5, 0.75]) + pn.scale_y_log10(labels=['0', '1','10','100', '1000', '10000', '100000']) + pn.xlab(\"\") + pn.ylab(\"Diff size\") + pn.scale_fill_manual(values=['dodgerblue', 'darkorange', 'green', 'yellow'])\n",
    "pn.ggplot.save(plot, \"sizes.pdf\")\n",
    "plot\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13.0\n",
      "10.0\n",
      "20.0\n",
      "28.0\n"
     ]
    }
   ],
   "source": [
    "print(bip_data['TOTAL'].quantile(0.75))\n",
    "print(d4j_data['TOTAL'].quantile(0.75))\n",
    "\n",
    "print(ghp_data['TOTAL'].quantile(0.75))\n",
    "print(ghj_data['TOTAL'].quantile(0.75))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>U-val</th>\n",
       "      <th>alternative</th>\n",
       "      <th>p-val</th>\n",
       "      <th>RBC</th>\n",
       "      <th>CLES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MWU</th>\n",
       "      <td>381597.0</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>-0.134729</td>\n",
       "      <td>0.567365</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        U-val alternative     p-val       RBC      CLES\n",
       "MWU  381597.0   two-sided  0.000003 -0.134729  0.567365"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pg.mwu(bip_data[\"TOTAL\"], d4j_data[\"TOTAL\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>U-val</th>\n",
       "      <th>alternative</th>\n",
       "      <th>p-val</th>\n",
       "      <th>RBC</th>\n",
       "      <th>CLES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MWU</th>\n",
       "      <td>438716.5</td>\n",
       "      <td>two-sided</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.122567</td>\n",
       "      <td>0.438717</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        U-val alternative     p-val       RBC      CLES\n",
       "MWU  438716.5   two-sided  0.000002  0.122567  0.438717"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pg.mwu(ghp_data[\"TOTAL\"], ghj_data[\"TOTAL\"])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  },
  "orig_nbformat": 4,
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