bachelorThesis/figure_8/figure_8.ipynb

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2021-04-17 10:50:40 +00:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import sys\n",
"import glob\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"DIR = \"/home/claudio/hdd/git/bachelorThesis/figure_8/\""
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"def read_json(cluster, filetype, read_ab, read_cd, read_ef):\n",
" jsondata = None\n",
" with open(DIR + cluster + \"_figure8\" + filetype + \".json\", \"r\") as f:\n",
" jsondata = json.loads(f.read())\n",
" \n",
" terms = [\"-1\",\"4\",\"5\",\"6\",\"7\",\"8\"]\n",
" intervals = range(0, 41)\n",
" \n",
" cd_measures = [0, 0.2, 0.4, 0.6, 0.8, 1]\n",
" measures = set()\n",
" if read_ab:\n",
" measures.add('rcpu')\n",
" measures.add('rram')\n",
" if read_ef:\n",
" measures.add('ucpu')\n",
" measures.add('uram')\n",
" \n",
" dfd = {'term': [], 'measure': [], 'interval': [], 'count': []}\n",
" \n",
" for t in terms:\n",
" for m in measures:\n",
" if jsondata[t][m] is None:\n",
" continue\n",
" for i in intervals:\n",
" dfd[\"term\"].append(int(t))\n",
" dfd[\"measure\"].append(m)\n",
" dfd[\"interval\"].append(i / 40)\n",
" dfd[\"count\"].append(jsondata[t][m][i])\n",
" if read_cd:\n",
" for m in [\"rscpu\", \"rsram\"]:\n",
" if jsondata[m][t] is None:\n",
" continue\n",
" for i, mi in enumerate(cd_measures):\n",
" dfd[\"term\"].append(int(t))\n",
" dfd[\"measure\"].append(m)\n",
" dfd[\"interval\"].append(mi)\n",
" if len(jsondata[m][t]) == 41 and i != 0:\n",
" dfd[\"count\"].append([sum(jsondata[m][t][k]) for k in range(i, i+8)])\n",
" else:\n",
" dfd[\"count\"].append(jsondata[m][t][i])\n",
"\n",
" return pd.DataFrame(dfd, columns=dfd.keys())\n",
"\n",
"dfs = {}\n",
"\n",
"dfs[\"a\"] = pd.concat([read_json(\"a\", \"abef\", True, False, True), read_json(\"a\", \"\", False, True, False)])\n",
"for c in \"bcd\":\n",
" dfs[c] = read_json(c, \"abef\", True, False, True)\n",
"for c in \"efgh\":\n",
" dfs[c] = read_json(c, \"ab\", True, False, False) "
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"def categorical_plot(df, key, title, sorted_xs = None):\n",
" if sorted_xs == None:\n",
" xs = set()\n",
" lines = []\n",
" for t in [4,5,6,7,8]:\n",
" xs = xs.union(np.array(df[df.term == t][key]).reshape(-1))\n",
" xs = [str(x) for x in sorted(xs)]\n",
" else:\n",
" xs = sorted_xs\n",
" \n",
" plt.figure(figsize=(25,8))\n",
" ax = plt.gca()\n",
" lines = []\n",
" for t in [4,5,6,7,8]:\n",
" ys = []\n",
" for x in xs:\n",
" partsum = df[(df.term != -1) & (df[key] == float(x))][\"count\"].sum().astype(int)\n",
" y = df[(df.term == t) & (df[key] == float(x))][\"count\"]\n",
" ys.append((y.values.astype(int)[0] / partsum if partsum > 0 else y.values.astype(int)[0]) if y.any() else 0)\n",
" lines.append(ax.plot(xs,ys, marker='.')[0])\n",
"\n",
" plt.xticks(xs)\n",
" plt.legend(lines, [\"EVICT\", \"FAIL\", \"FINISH\", \"KILL\", \"LOST\"],\n",
" bbox_to_anchor=(1,1))\n",
" plt.title(title)\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"def prepare_plot(cluster, measure):\n",
" titles = {\n",
" \"rscpu\": \"CPU reservation w.r.t. event rate\",\n",
" \"rsram\": \"Memory reservation w.r.t. event rate\",\n",
" \"rcpu\": \"CPU request w.r.t. event rate\",\n",
" \"rram\": \"Memory request w.r.t. event rate\",\n",
" \"ucpu\": \"CPU utilization w.r.t. event rate\",\n",
" \"uram\": \"Memory utilization w.r.t. event rate\",\n",
" }\n",
" \n",
" df = dfs[cluster]\n",
" df = df[df.measure == measure]\n",
" del df[\"measure\"]\n",
" df = df.sort_values([\"term\", \"interval\"])\n",
" \n",
" \n",
" categorical_plot(df, \"interval\", titles[measure] + \" (cluster \" + cluster + \")\")"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAABZgAAAHiCAYAAABlW6lwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOzdd3xb9bk/8M9XRzoatmQdOTuW5GwgIXEGoXTScstoaYEyEuiim99tC123g85Labm0vW3pLqOll7YkQEvpoKWT0sWIEydgQygQSXbiLA1btvbR9/fH0VGcxEO2j3SGnvfrxYvYls55nJhw9Og5n4dxzkEIIYQQQgghhBBCCCGETJdN7wIIIYQQQgghhBBCCCGEmBM1mAkhhBBCCCGEEEIIIYTMCDWYCSGEEEIIIYQQQgghhMwINZgJIYQQQgghhBBCCCGEzAg1mAkhhBBCCCGEEEIIIYTMCDWYCSGEEEIIIYQQQgghhMwINZgJIYQQQgghDcEYm8sYe4Yx5p7icWczxgYaVdd0MMYijLH/mOBraxlj/2x0TYQQQggheqIGMyGEEEKIBipNpwJjbM4Jn9/FGOOMsU6dSrMsxlhn5ffW3sBzXs0Y+3ujzjdTjLHPMcZ+rPExtfjePw7gTs55VouapjJZM7geOOd7AKQYY69r1DkJIYQQQvRGDWZCCCGEEO3sA3Cl+gFj7HQAHv3KOWa2TdhGNnGNpFm+70Z8n4wxJ4C3AtC08V0vTDGT10s/AfAereshhBBCCDEqajATQgghhGjnLgBvGfPxWwH839gHMMacjLGvMMZijLFDjLHvqXEBaiwAY+yjjLHDjLFBxtjFjLHXMMaeZYwlGGPXn3CsrzPGDlT++XqliTf2WB9jjB0E8EPG2FNjJysZYw7G2FHG2PoTv5EJnm9jjH2cMfY8YyzOGLuHMRYY85w3M8aila99cuz0KGPsTsbYjScef8zHixhjP2OMHWGM7WOMXTvma5sZYzsYY8OV37OvVr70SOXfKcbYCGPsrBO+BxdjLKtOlVdqKjHGfJWPP88Y+/o43ztnjL2XMfZvAP8e8/lTAXwPwFmV86VOfO54GGOnMMb+UPnz28sYu6Ly+TMZYwcZY8KYx17CGNtT+fWEv99jprffWvlZOsoY+2Tla+cDuB7AlkqduyeoK1L5890DYJQxZh9zvjRjrI8xdslk3/tkP8/jOBNAinM+9s89wBj7YeXnN8kY+8UEtXLG2PIxH1d/nhhjcxhjv2aMpSq/x3+r/N7dBSAE4FeVmj9aefyLGGP/rDx+N2Ps7DHHfZgx9gXG2D8AZAAsneB76WKM7WGMDTHGtjPGXGO+9jCAc1jlv0VCCCGEEKujBjMhhBBCiHYeBeBjjJ1aaRpuxcnTmv8DYCWALgDLASwG8JkxX18AwDXm87cBeBOAjQBeBuDTjLEllcd+EsCLKsdaB2AzgE+dcKwAgDCAd0Npdr9pzNdfA2CQc75rgu/nxOe/H8DFAF4BYBGAJIBvAwBj7DQA3wXw5srX2gF0THDc4zBlSvRXAHZXvu9zAHyAMXZe5SG3ALiFc+4DsAzAPZXPv7zybz/nvJVz/q+xx+Wc5wA8UakXlX9HAbxkzMd/naCsi6E0RE8bc7ynAVwD4F+V8/lr+N5aAPwBwE8BzIPyM/EdxthpnPPHAIwCeNWYp1xVeSwwye/3GC8FsArK79lnGGOncs5/B+CLALZX6lw3SYlXAngtlN/DEoDnofyctQH4bwA/ZowtnOR7n+rneazTAew94XN3QZnyX135/fnaJLVO5MMABgDMBTAfSnOdc87fDCAG4HWVmr/EGFsM4DcAboTys/0RAD9jjM0dc7w3Q/l590L5eRnPFQDOB7AEwFoAV6tf4JzvB1CE8udCCCGEEGJ51GAmhBBCCNGWOsX8agBPA9ivfoExxqA0rj7IOU9wztNQGoFbxzy/COALnPMigG0A5kBprqY5570A+qA0kwHgjQBu4Jwf5pwfgdIQfPOYY5UBfJZznq9k3v4YwGvUCd7KY++a5Hs58fnXAPgk53yAc54H8DkAlzElXuEyAL/mnD9S+dqnK8+vxRkA5nLOb+CcFzjnL0BprKu/L0UAyxljczjnI5zzR2s8LqA0kF9RqXEtgG9UPnZVzvvIBM+7qfJnNNus4AsBRDjnP+SclyrN/J8BuLzy9btRiVVhjHmhNP3vrnxtst9v1X9zzrOc891QGvSTNZPH8w3Oeb/6fXLO7+WcH+Cclznn26FMcG8e74k1/jyP5QeQHvP8hQAuAHAN5zzJOS9yzidq+E+mCGAhgHDlGH/jnPMJHvsmAA9yzh+sfI9/ALADyu+76k7OeW/lz6s4wXG+Ufl9SkB5c6TrhK+noXy/hBBCCCGW1xSZcoQQQgghDXQXlKblEpwQjwFlwtIDoFvpzQEAGABhzGPinHO58mu1uXlozNezAForv16E4ycso5XPqY5UpngBAJzzA5Vb/y9ljN0Ppbl33STfy3HPhzLJfD9jbGzjWIYyNboIQP+Yc40yxuKTHHusMIBFJ0ROCAD+Vvn1OwDcAOAZxtg+KE3VX9d47L8C+CqADQCehDJNfAeUye/nOOcT1dg/weenKwzgzBO+NzuONfZ/CuCfjLH/B+ANAHZyzqNjnjvR77fq4JhfZ3DsZ6NWx32fjLG3APgQgM7Kp1qhvMkxnlp+nsdKQpkKVgUBJDjnyWnWfKIvQ2m+/75Sx62c8/+Z4LFhAJez45fwOQD8ZczHtfzZn/j7vuiEr3sBpGo4DiGEEEKI6VGDmRBCCCFEQ5zzaKUJ+hoojdGxjkJpEK+u3EY/WwegNMx6Kx+HKp+rljPOc34E4J1QrgP/NUUdJz6/H8DbOef/OPGBjLFBAKeO+dgDJSZDNYrjFx4uOOG4+zjnK8YtgvN/A7iyEqXxBgD3Mcbax6lvPP+EElVwCYC/cs77GGMhKH8+k03LTnTsWs45Vn/lvK8e92BKPVEozf6x8Rjqcyf6/e6c4ry11ll9HGMsDGVy/BwoPxsyY6wHStN4vGNO9+d5D4APjvm4H0CAMebnnKemeG4GJ//8DABAZXL6wwA+zBhbA+DPjLEnOOd/GqfmfgB3cc7fNcm5pvtnfJxKDIeIk+NACCGEEEIsiSIyCCGEEEK09w4Ar+Kcj479JOe8DKWB9zXG2DxAaUaNyRqerrsBfIoxNpcpi+w+g5Mzn0/0CyjTvNfh5AnrqXwPwBcqjUhUzntR5Wv3AbiQMfZSxpgIZeJ47LVmD5R4jgBjbAGAD4z52uMA0pWFc27GmMAYW8MYO6NynjcxxuZWfv9SleeUARyp/HuiRWzgnGcAdAN4L441lP8JJX5iJnEMhwB0VL7HWvwawEqmLEB0VP45o7I0T/VTKH8eLwdw75jPT/b7XUudnZWmfK1aoDRXj1TO9zYAa044ZvV7n8HP8+MA/JUGLDjngwB+CyWTWqr83rx8guf2ALiq8rNxPo7laoMxdiFjbHklsmMIypS3OvV9CMf/fPwYwOsYY+dVjuViysLJmvLCa/QKAH+uxJoQQgghhFgeNZgJIYQQQjTGOX+ec75jgi9/DMBzAB5ljA0D+CNmvgzsRij5sXugxD/srHxustqyUDKAlwD4+TTPdwuAX0KJIkhDWWp4ZuW4vVCauD8FMAglDmFgzHPvgpIRHAHwewDbx9QkQ8kq7gKwD8pk7O1QFs0ByjK1XsbYSKWGrZXc4QyALwD4B2MsxRh70QR1/xVKDMLjYz72opK/zBj7HmPsexN904yxEcbYyyof/hnKxPhBxtjRytevZ4z9drznVqZrz4WSS3wASrTCzQCcYx52N441JY+O+fyEv981UBvVccbYzlqewDnvA/C/AP4FpTF7OoCx09Mnfe+Yxs8z57wA4E4cv2jyzVAylJ8BcBjHv/Ew1nUAXgflDYY3QnmjRLWict6RSu3f4ZyrkRc3QXkTJsUY+wjnvB/ARVAWAR6BMtH8X9D2ddEbobw5QAghhBDSFNjE+y8IIYQQQogVMcY+A2Al5/xNUz54dueJAHgn5/yP9TwPMQ/G2Fwo2drrNVigaDiMsbUAvs8
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAABZgAAAHiCAYAAABlW6lwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOzdd3ib53n+/e8NkAS4AYoUKe6hPWzJlkR5SJa35Dhxtu3YsZ3ZtJlu0yTtr2+apk2b2SRt2qQZjTM9Mmynibct2fKQZG1rS4REUaQoTnATBIHn/QOkQsmUxAHwIcHzcxw6SOBZJ0FIIi9cuG5jWRYiIiIiIiIiIiIiIqPlsDuAiIiIiIiIiIiIiExNKjCLiIiIiIiIiIiIyJiowCwiIiIiIiIiIiIiY6ICs4iIiIiIiIiIiIiMiQrMIiIiIiIiIiIiIjImKjCLiIiIiIiIiIiIyJiowCwiIiIiI2aM2WeMWTvw+ZeMMb8c+LzYGNNpjHFG+XqrjTGHonlOmZyMMQ8aY94+gv2OG2NumIBIUWOMcRljDhpjcuzOIiIiIhJtKjCLiIiIjNBAYavPGJN9zv07jTGWMabUpmgxYYx5wBjzL0PvsyxrkWVZG8/d17KsE5ZlpVmWFRrnNS1jzOwh591kWda88ZxzopybfTIyxpQO5EyI8nnH9bUbYy4BLgUej16qC17vzIsjE8GyrADwv8AXJuqaIiIiIhNFBWYRERGR0TkG3Dl4wxizBEixL86fRbtoKBcW7W7tyWqCnld/AfzKsixrAq41bmN8TH4N3GuMcUU7j4iIiIidVGAWERERGZ1fAPcMuX0v8POhOwy8Hf6bxpgTxpjTxpgfGGOSB7atNcacNMZ8zhjTYIw5ZYx5uzHmFmPMYWNMizHm788513eMMXUDf74zWKAacq7PG2PqgZ8aY/YaY9465PhEY0yTMWbZuV+IMeY+Y8zL59xnGWNmG2M+CtwFfG5g9MX/DWwfdjzB0M5YY8wVA8cM/uk1xhwf2G+lMeY1Y4x/4Gv/njEmaWDbSwOn2z1w3O2DX+OQ6ywwxmwcOH6fMeZtQ7Y9YIz5L2PMn4wxHcaYLcaYiuG+icaYnxlj/mbg84KB7B8fuF0x8H1wnHPMA8aY7xtjnjDGdAHXDtn2puzDXfec813oeXLAGHPrkH0TjDGNxpjLBm6vMsa8OvA47DYDY0sGtm00xvyzMeaVgcfhGfPnrvvBnP6BnFcMk+tLxpjfGmN+aYxpB+4b7fdt4P5bjTG7Bo551US6lM9nPfDiOTk+MvA4dBhj9g9+7efsc1aX/TDPl88bY2oHznHIGHO9MWYd8PfA7QN5dw/sm2mM+cnA11drjPkXM/AiwsDflVeMMd82xjQDXxomy3kfIwDLsk4CrcCqCzwOIiIiIlOOCswiIiIio7MZyBgodDqBO4Bz32r/VWAusBSYDRQAXxyyPQ9wD7n/R8DdwOXAauD/M8aUDez7/4gUpJYSGSGwEviHc86VBZQAHyVS7L57yPZbgFOWZe0czRdpWdYPgV8BXx8YffHWix0z5NjXBo5JA7zAFuDBgc0h4H4gG7gCuB74q4Hj1gzsc+nA8Q8PPa8xJhH4P+AZYCbwSeBXxpihIzTuAP5p4LpHga+cJ+aLwNqBz68BfMCaIbc3WZYVHua49w2cMx04U5y/WPbzuNDz5EGGdMoDNwNNlmXtMMYUAH8C/oXI9/6zwO/M2fN93wd8gMjjlDSwD0O+Rs9AztfOk+024LeAh8jzYFTfNxN5QeN/iXQmzwD+B/iDGaZ71xiTCpQBh4bc9x4iRdx7gAzgbUDzebIOa+B58QlghWVZ6UQew+OWZT0F/Cvw8EDeSwcOeQDoJ/K9WAbcBHx4yCkriTxPchn+eXXex2iIA0T+HouIiIjEDRWYRUREREZvsIv5RiIFo9rBDcYYQ6TQe79lWS2WZXUQKWbdMeT4IPAVy7KCwENEClLftSyrw7KsfcB+/lyEugv4smVZDZZlNRIpnr5/yLnCwD9alhWwLKuHSLH7FmNMxsD29w/ktct/AB1ECuVYlrXdsqzNlmX1W5Z1nEjh8ZoRnmsVkAZ81bKsPsuyXgD+yNmF2Ecty9pqWVY/kcLo0vOc60Xg6oEu5TXA14GrBrZdwzndtEM8blnWK5ZlhS3L6h1h7jcZwfPk18DbjDGD41fex5+L9HcDT1iW9cRAjmeBbUReTBj0U8uyDg88Jx7h/I/D+bxmWdZjA+fvGcP37aPA/1iWtcWyrJBlWT8DAgzfvesZ+Ngx5L4PE3lx43Ur4qhlWdWj/BpCgAtYaIxJtCzruGVZVcPtaIzJJfL4fcayrC7LshqAb3P239s6y7L+c+Ax6Dn3HCN8jDqGfL0iIiIicUFz+kRERERG7xdERg2Ucc54DCCHyEzm7ZEaIgAGGDqvt3nIYniDharTQ7b3ECmkAuQDQwtr1QP3DWocWui0LKvOGPMK8C5jzKNERg98euRfWvQYY/6CSJdw5WA3sDFmLvDvwHIij1MCsH2Ep8wHas7pLK4m0vk7qH7I5938+XE8i2VZVQNjLpYS6Rr/Z+BDA12v1xApjA+nZoRZL+aCzxPLso4aYw4AbzWR8SRvI9JVC5Fu9feYIaNQgERgw5DbI3ocLuCsr3MM37cSIvOGPznkviTOfu4O8g98TAcGn8tFwLDF4JEaeAw/Q6QTepEx5mngry3LqjtP3kTg1JDvh4OzH4cLfu9H+Bil8+evV0RERCQuqINZREREZJQGOimPEel4/P05m5uIFIgXWZblGfiTOTAuYizqiBS/BhUP3HcmzjDH/IxIl+t7iHSi1g6zD0AXQxYoNMbknbN9zAuuGWMGi7a3WZbVPmTT94GDwBzLsjKIzMI1w5xiOHVA0TmzkYsZ0kE+Si8C7waSBh6jF4nM1PYCu85zTLQWoRvJ82RwTMZtwH7Lso4O3F8D/GLIcR7LslIty/rqCK470vzn7jfa71sNkS79oRlTLMt68NwdLcvqIlJMnnvO8cPOzz7HWc9hIiNjhp7715ZlXU3k75AFfG1w0zB5A0D2kLwZlmUtGnq6i2QZyWO0ANh9kfOIiIiITCkqMIuIiIiMzYeA6waKY2cMdNf+CPi2MWYmnFlE7uYxXudB4B+MMTkDC7V9kTfPfD7XY8BlRDqXz+2wHmo3kc7OpcYYN29euOw0UD7awMaYIiJjGe6xLOvwOZvTgXag0xgzH/jLUVxzC5Fu3M+ZyOKFa4G3EhkzMhYvEpnRO7hI3caB2y8P6TAfjRE/XiN8njxEZA7wXxIZmTHol0Q6m282xjiNMe6Bxe0KR3DpRiJjVUb7fR3t9+1HwMeMMZUmItUY8xZjTPp5zv8EZ4+T+DHwWWPM5QPHzzbGlAxz3C4iI2GyBl4g+czgBmPMPGPMdQNzn3uJFPQHu99PA6WDL1ZYlnWKyGzvbxljMowxDhNZ7HGk41vgIo/RwOzsLCJz3EVERETihgrMIiIiImNgWVaVZVnbzrP580QWmNtsjGkHngPmnWffi/kXIvN19wBvADsG7rtQth7gd0RGeJzbYT10v8PAlwfyHWHIonUDfkJkfq3fGPPYKDJfT2QhtN8aYzoH/uwb2PZZIvOEO4gUIc9dDO9LwM8Grvnec/L2ESkoryfSAfzfRIrYB0eRbagXiRQFBwvMLxPphn0JIl3YxpjO8x1sjPmBMeYH58tujCke+NqLz3OKCz5PBoqerwFXMuRxsiyrhkhX898TKRjXAH/LCH62tyyrm8gCda8M5BxuJvJwRvV9G/i78RHge0DrwNd53wXO/0PgroHZ1FiW9ZuBnL8euOZjRIqz5/oFkRdKjhMpEA/N5SKykGITkZEhM4G/G9j2m4GPzcaYHQOf30NkjMf+gcy/BWZdIPO5LvYYvQ/4mWVZgVGcU0RERGTSM5YVrXf5iYiIiMhkYYz5IjDXsqy77c4iMhLGmF8Dj1iW9ZjdWaJtoIt6N7BmYAFBERERkbihArOIiIhInDHGZAE7gfdblvXSxfYXEREREREZK43IEBEREYkjxpiPEBmZ8KSKyyIiIiIiEmvqYBYRERERERERERG
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1800x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for cluster in \"abcdefgh\":\n",
" prepare_plot(cluster, \"rcpu\")\n",
" prepare_plot(cluster, \"rram\")\n",
"prepare_plot(\"a\", \"rscpu\")\n",
"prepare_plot(\"a\", \"rsram\")\n",
"for cluster in \"abcd\":\n",
" prepare_plot(cluster, \"ucpu\")\n",
" prepare_plot(cluster, \"uram\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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"version": "3.8.3"
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}
},
"nbformat": 4,
"nbformat_minor": 5
}