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{
"cells": [
{
"cell_type": "code",
"id": "initial_id",
"metadata": {
"collapsed": true
},
"source": [
"import pickle\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"\n",
"import config"
],
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "code",
"source": [
"GROUP_LABELS = ['Golden', 'Synthetic: Backward', 'Synthetic: Forward', 'Synthetic: Backward → Forward',\n",
" 'Synthetic: All']"
],
"id": "3dedb547dfae89d5",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "code",
"source": [
"def load_data(s):\n",
" with open(config.OUTPUT_CHARTS_DIR / f\"{s}_data.pkl\", 'rb') as f:\n",
" groups = pickle.load(f)\n",
"\n",
" data = []\n",
" for i, group in enumerate(groups):\n",
" for e in group:\n",
" data.append({\n",
" 'Subset': GROUP_LABELS[i],\n",
" 'value': e\n",
" })\n",
" return pd.DataFrame.from_records(data)"
],
"id": "837c039c80b1093e",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "code",
"source": [
"name = 'deletions_norm'\n",
"\n",
"sns.set_theme(palette=\"colorblind\")\n",
"\n",
"ax = sns.displot(data=load_data(name), \n",
" x='value', \n",
" hue='Subset', \n",
" kind='kde',\n",
" aspect=1.5, \n",
" common_norm=False,\n",
" clip=(0, 10000))\n",
"sns.move_legend(ax, \"center right\", bbox_to_anchor=(.70, .75))\n",
"for line in ax.legend.get_lines():\n",
" line.set_linewidth(5.0)\n",
"\n",
"plt.title(\"Number of \\\"delete\\\" operations: distribution\")\n",
"plt.xlabel(\"Number of \\\"delete\\\" operations\")\n",
"\n",
"plt.savefig(config.OUTPUT_CHARTS_DIR / f\"{name}_dist.png\",bbox_inches='tight')\n",
"plt.savefig(config.OUTPUT_CHARTS_DIR / f\"{name}_dist.svg\",bbox_inches='tight')\n",
"plt.show()"
],
"id": "8c756559f9bd4ec",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "code",
"source": [
"name = 'insertions_norm'\n",
"\n",
"sns.set_theme(palette=\"colorblind\")\n",
"\n",
"ax = sns.displot(data=load_data(name), \n",
" x='value', \n",
" hue='Subset', \n",
" kind='kde',\n",
" aspect=1.5, \n",
" common_norm=False,\n",
" clip=(0, 10000))\n",
"sns.move_legend(ax, \"center right\", bbox_to_anchor=(.70, .75))\n",
"for line in ax.legend.get_lines():\n",
" line.set_linewidth(5.0)\n",
"\n",
"plt.title(\"Number of \\\"insert\\\" operations: distribution\")\n",
"plt.xlabel(\"Number of \\\"insert\\\" operations\")\n",
"\n",
"plt.savefig(config.OUTPUT_CHARTS_DIR / f\"{name}_dist.png\",bbox_inches='tight')\n",
"plt.savefig(config.OUTPUT_CHARTS_DIR / f\"{name}_dist.svg\",bbox_inches='tight')\n",
"plt.show()"
],
"id": "af1668213091e2c1",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "code",
"source": [
"import numpy as np\n",
"\n",
"def get_bins_for_report(intervals):\n",
" bins = []\n",
" for cur_interval in intervals:\n",
" bins += list(map(int, np.linspace(start=cur_interval[0], stop=cur_interval[1], num=cur_interval[2])))\n",
" print(\",\".join(list(map(str, bins))))\n",
" \n",
"get_bins_for_report([\n",
" (0, 400, 30),\n",
" (401, 1200, 20)\n",
"])"
],
"id": "c2d245ada4ae54a",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## FUS logs",
"id": "e293db4b140f920e"
},
{
"metadata": {},
"cell_type": "code",
"source": [
"def to_hist(data):\n",
" data = data.copy()\n",
" num_samples = sum(data['y'])\n",
" data['y'] = [e / num_samples / scale for e, scale in zip(data['y'], data['bin_size'])]\n",
" \n",
" return data"
],
"id": "74f1d808e83aa528",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "code",
"source": [
"FUS_REPORT_TYPE = \"all_ide\"\n",
"\n",
"RAW_FUS_REPORT = f\"data/fus_raw_report_{FUS_REPORT_TYPE}.csv\"\n",
"\n",
"FUS_METRICS = [\"CommitMessageEditDistance\", \"CommitMessageLengthDiff\"]\n",
"\n",
"FUS_DATA = {}\n",
"\n",
"for metric in FUS_METRICS:\n",
" FUS_DATA[metric] = {\"x\": [], \"y\": [], \"bin_size\": []}\n",
" \n",
"with open(RAW_FUS_REPORT, \"r\") as f:\n",
" current_metric = None\n",
" for line in f.readlines():\n",
" if line.isspace():\n",
" current_metric = None\n",
" continue\n",
" \n",
" skip_line = False\n",
" \n",
" for metric in FUS_METRICS:\n",
" if metric in line:\n",
" current_metric = metric\n",
" skip_line = True\n",
" break\n",
" \n",
" \n",
" if not skip_line and current_metric is not None:\n",
" tokens = line.strip().split(\",\")\n",
" interval = tokens[0].replace(\"> \", \"\").split(\" - \")\n",
" x_left = float(interval[0])\n",
" x_right = float(interval[-1])\n",
" x = (x_left + x_right) / 2\n",
" y = float(tokens[-2])\n",
" bin_size = x_right - x_left + 1\n",
" FUS_DATA[current_metric][\"x\"].append(x)\n",
" FUS_DATA[current_metric][\"y\"].append(y)\n",
" FUS_DATA[current_metric][\"bin_size\"].append(bin_size)\n",
" \n",
" \n",
"SKIP_FIRST = 2\n",
"FUS_DATA_NO_HEAD = {}\n",
"\n",
"for metric in FUS_METRICS:\n",
" FUS_DATA_NO_HEAD[metric] = {\n",
" 'x': FUS_DATA[metric]['x'][SKIP_FIRST:], \n",
" 'y': FUS_DATA[metric]['y'][SKIP_FIRST:],\n",
" 'bin_size': FUS_DATA[metric]['bin_size'][SKIP_FIRST:]}"
],
"id": "ed09c1d2fec35d58",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "code",
"source": [
"name = 'editdist'\n",
"\n",
"sns.set_theme(palette=\"colorblind\")\n",
"\n",
"ax = sns.displot(data=load_data(name), \n",
" x='value', \n",
" hue='Subset', \n",
" kind='kde',\n",
" aspect=1.5, \n",
" common_norm=False,\n",
" clip=(0, 10000))\n",
"\n",
"\n",
"sns.lineplot(data=to_hist(FUS_DATA_NO_HEAD[\"CommitMessageEditDistance\"]), x='x', y='y', style=True, dashes=[(2,2)], legend=False)\n",
"\n",
"sns.move_legend(ax, \"center right\", bbox_to_anchor=(.70, .75))\n",
"for line in ax.legend.get_lines():\n",
" line.set_linewidth(5.0)\n",
"\n",
"plt.title(f\"Edit distance ({FUS_REPORT_TYPE}): distribution\")\n",
"plt.xlabel(\"Edit disatnce\")\n",
"\n",
"plt.savefig(config.OUTPUT_CHARTS_DIR / f\"{name}_fus_{FUS_REPORT_TYPE}_skip_{SKIP_FIRST}_dist.png\",bbox_inches='tight')\n",
"plt.savefig(config.OUTPUT_CHARTS_DIR / f\"{name}_fus_{FUS_REPORT_TYPE}_skip_{SKIP_FIRST}_dist.svg\",bbox_inches='tight')\n",
"plt.show()"
],
"id": "be2eb3c1499e196f",
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "code",
"source": [
"name = 'lendiff'\n",
"\n",
"sns.set_theme(palette=\"colorblind\")\n",
"\n",
"ax = sns.displot(data=load_data(name), \n",
" x='value', \n",
" hue='Subset', \n",
" kind='kde',\n",
" aspect=1.5, \n",
" common_norm=False,\n",
" clip=(0, 10000))\n",
"\n",
"sns.lineplot(data=to_hist(FUS_DATA_NO_HEAD[\"CommitMessageLengthDiff\"]), x='x', y='y', style=True, dashes=[(2,2)], legend=False)\n",
"\n",
"sns.move_legend(ax, \"center right\", bbox_to_anchor=(.70, .75))\n",
"for line in ax.legend.get_lines():\n",
" line.set_linewidth(5.0)\n",
"\n",
"\n",
"plt.title(f\"Length difference ({FUS_REPORT_TYPE}): distribution\")\n",
"plt.xlabel(\"Length difference\")\n",
"\n",
"plt.savefig(config.OUTPUT_CHARTS_DIR / f\"{name}_fus_{FUS_REPORT_TYPE}_skip_{SKIP_FIRST}_dist.png\",bbox_inches='tight')\n",
"plt.savefig(config.OUTPUT_CHARTS_DIR / f\"{name}_fus_{FUS_REPORT_TYPE}_skip_{SKIP_FIRST}_dist.svg\",bbox_inches='tight')\n",
"plt.show()"
],
"id": "31221bbd8ce257db",
"outputs": [],
"execution_count": null
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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