evaluation/03-analysis-ios-rainbow-sloth.ipynb

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  {
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   "execution_count": null,
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   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import json\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "plt.rc('pdf', fonttype=42) # Avoid type 3 fonts\n",
    "\n",
    "sns.set_theme(style=\"white\")\n",
    "sns.set_palette(sns.color_palette(\"tab10\"))\n",
    "plt.rcParams.update({\"xtick.bottom\" : True}) # enables ticks"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "beb04e7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "BASE_DIR = '../ios'\n",
    "DATA_DIR = os.path.join(BASE_DIR, 'server/data')\n",
    "\n",
    "FILES = [\n",
    "    'CHANGE-ME.json',\n",
    "    'CHANGE-ME.json',\n",
    "]\n",
    "\n",
    "\n",
    "def get_device_info(device_name):\n",
    "    with open(os.path.join(BASE_DIR, 'server/models.json')) as f:\n",
    "        return json.load(f)[device_name]\n",
    "\n",
    "\n",
    "def read_data(path):\n",
    "    with open(path) as f:\n",
    "        d = json.load(f)\n",
    "        \n",
    "    info = get_device_info(d['device'])\n",
    "    \n",
    "    return pd.DataFrame(data={\n",
    "        'Device': info['name'],\n",
    "        'OS Version': d['version'],\n",
    "        'Chip': info['chip'],\n",
    "        'Configuration': f\"{info['name']} ({d['version']})\",\n",
    "        'n': d['n'],\n",
    "        'type': 'small' if d['n'] < 25 else 'large',\n",
    "        'Measurement': [float(x) * 1000 for x in d['executionTimeSeconds']],\n",
    "    })\n",
    "\n",
    "\n",
    "def read_all_data():\n",
    "    for f in FILES:\n",
    "        path = os.path.join(DATA_DIR, f)\n",
    "        x = read_data(path)\n",
    "        yield x\n",
    "        \n",
    "df = pd.concat(read_all_data())\n",
    "df.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ece8444d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#\n",
    "# Box plot with the iOS RainBow sloth execution times\n",
    "#\n",
    "\n",
    "fig, axs = plt.subplots(1,2)\n",
    "fig.set_size_inches((5.5, 1.75))\n",
    "\n",
    "ax1, ax2 = axs\n",
    "\n",
    "sns.boxplot(\n",
    "    data=df[df.type=='small'],\n",
    "    y='Device',\n",
    "    x='Measurement',\n",
    "    color='white',\n",
    "    ax=ax1,\n",
    "    showfliers = False,\n",
    "    boxprops = {'edgecolor': 'black'},\n",
    "    medianprops = {'color': 'black'},\n",
    "    whiskerprops = {'color': 'black'},\n",
    "    capprops = {'color': 'black'},\n",
    ")\n",
    "ax1.axvline(x=67, color='r')\n",
    "ax1.set_xlim((40, 160))\n",
    "ax1.set_xlabel(\"Duration [ms]\")\n",
    "ax1.set_ylabel(None)\n",
    "ax1.grid(ls='--')\n",
    "# ax1.legend().remove()\n",
    "\n",
    "\n",
    "sns.boxplot(\n",
    "    data=df[df.type=='large'],\n",
    "    y='Device',\n",
    "    x='Measurement',\n",
    "    color='white',\n",
    "    ax=ax2,\n",
    "    showfliers = False,\n",
    "    boxprops = {'edgecolor': 'black'},\n",
    "    medianprops = {'color': 'black'},\n",
    "    whiskerprops = {'color': 'black'},\n",
    "    capprops = {'color': 'black'},\n",
    ")\n",
    "ax2.axvline(x=555, color='r')\n",
    "ax2.set_xlim((480, 820))\n",
    "ax2.set_xlabel(\"Duration [ms]\")\n",
    "ax2.set_yticklabels([])\n",
    "ax2.set_ylabel(None)\n",
    "ax2.grid(ls='--')\n",
    "# ax2.legend().remove()\n",
    "\n",
    "fig.tight_layout()\n",
    "fig.savefig(\"output/ios-rainbow-sloth-box-plot.pdf\", dpi=300, bbox_inches='tight')"
   ]
  }
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