2021-04-13 14:13:15 +00:00
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import sys\n",
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"import glob\n",
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"import pandas as pd\n",
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"import seaborn as sns\n",
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"import matplotlib as mpl\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 70,
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"metadata": {},
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"outputs": [],
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"source": [
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"DIR = \"/home/claudio/hdd/git/bachelorThesis/spatial_resource_waste/\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 84,
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"metadata": {},
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"outputs": [],
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"source": [
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"def plot_df(df, cluster, type_of_data):\n",
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" s = df.sum()\n",
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" print(\"Cluster \" + cluster + \":\")\n",
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" df[\"cpu\"] = df[\"cpu\"] / s[\"cpu\"]\n",
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" df[\"ram\"] = df[\"ram\"] / s[\"ram\"]\n",
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" print(df) \n",
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"\n",
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" df2 = df.copy()\n",
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" df[\"kind\"] = \"cpu\"\n",
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" df[\"percent\"] = df[\"cpu\"]\n",
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" del df[\"cpu\"]\n",
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" del df[\"ram\"]\n",
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" \n",
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" df2[\"kind\"] = \"ram\"\n",
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" df2[\"percent\"] = df2[\"ram\"]\n",
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" del df2[\"cpu\"]\n",
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" del df2[\"ram\"]\n",
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" \n",
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" df = pd.concat([df, df2])\n",
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" \n",
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" bottom = [0, 0]\n",
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" lines = []\n",
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" for t in [-1,4,5,6,7,8]:\n",
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" lines.append(plt.bar(x=df[df.term==t][\"kind\"], bottom=bottom,\n",
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" height=df[df.term==t][\"percent\"]))\n",
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" bottom += df[df.term==t][\"percent\"].values\n",
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" plt.legend(lines, [\"No termination\", \"EVICT\", \"FAIL\", \"FINISH\", \"KILL\", \"LOST\"],\n",
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" bbox_to_anchor=(1,1))\n",
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" plt.title(type_of_data + \" spatial resource waste (cluster \" + cluster + \")\")\n",
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" plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 85,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Cluster a:\n",
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" term cpu ram\n",
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"0 -1 0.006972 0.010447\n",
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"1 6 0.013963 0.011066\n",
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"2 5 0.022792 0.028387\n",
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"3 4 0.134392 0.118184\n",
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"4 8 0.000091 0.000091\n",
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"5 7 0.821791 0.831826\n"
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]
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},
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Cluster b:\n",
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" term cpu ram\n",
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"0 -1 0.002582 0.004637\n",
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"1 6 0.025877 0.012231\n",
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"2 5 0.062950 0.083841\n",
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"3 4 0.048340 0.073120\n",
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"4 8 0.000036 0.000027\n",
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"5 7 0.860215 0.826144\n"
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]
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},
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{
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"data": {
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"image/png": "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
|
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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
|
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"text": [
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"Cluster c:\n",
|
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|
" term cpu ram\n",
|
|
|
|
|
"0 -1 0.003376 0.003812\n",
|
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"1 6 0.029399 0.033249\n",
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"2 5 0.012294 0.020809\n",
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"3 4 0.082099 0.080454\n",
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"4 8 0.000093 0.000088\n",
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"5 7 0.872740 0.861588\n"
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]
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},
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{
|
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"data": {
|
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|
"image/png": "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
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
|
|
|
|
},
|
|
|
|
|
"output_type": "display_data"
|
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|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"Cluster d:\n",
|
|
|
|
|
" term cpu ram\n",
|
|
|
|
|
"0 -1 0.004995 0.004822\n",
|
|
|
|
|
"1 6 0.008666 0.008914\n",
|
|
|
|
|
"2 5 0.030288 0.039214\n",
|
|
|
|
|
"3 4 0.076002 0.090656\n",
|
|
|
|
|
"4 8 0.000039 0.000030\n",
|
|
|
|
|
"5 7 0.880011 0.856364\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": "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
|
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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
|
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|
]
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},
|
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
|
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"text": [
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"Cluster a:\n",
|
|
|
|
|
" term cpu ram\n",
|
|
|
|
|
"0 -1 0.000340 0.001937\n",
|
|
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|
"1 4 0.028384 0.033991\n",
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"2 5 0.000583 0.000698\n",
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"3 6 0.000001 0.000002\n",
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"4 7 0.966613 0.957991\n",
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"5 8 0.004079 0.005382\n"
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]
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},
|
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{
|
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"data": {
|
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|
|
|
"image/png": "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
|
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|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
|
|
|
|
},
|
|
|
|
|
"output_type": "display_data"
|
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|
},
|
|
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|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"Cluster b:\n",
|
|
|
|
|
" term cpu ram\n",
|
|
|
|
|
"0 -1 9.355835e-07 0.000002\n",
|
|
|
|
|
"1 4 3.364512e-05 0.000047\n",
|
|
|
|
|
"2 5 3.060723e-05 0.000050\n",
|
|
|
|
|
"3 6 1.269581e-04 0.000176\n",
|
|
|
|
|
"4 7 9.109484e-01 0.855737\n",
|
|
|
|
|
"5 8 8.885947e-02 0.143988\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": "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
|
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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
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"Cluster c:\n",
|
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" term cpu ram\n",
|
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|
|
|
"0 -1 0.000001 0.000002\n",
|
|
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|
"1 4 0.000086 0.000070\n",
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"2 5 0.000013 0.000015\n",
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"3 6 0.000150 0.000170\n",
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"4 7 0.824831 0.796980\n",
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"5 8 0.174918 0.202763\n"
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]
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},
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{
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"data": {
|
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"image/png": "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
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
|
|
|
|
},
|
|
|
|
|
"output_type": "display_data"
|
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|
},
|
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|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"Cluster d:\n",
|
|
|
|
|
" term cpu ram\n",
|
|
|
|
|
"0 -1 0.000009 0.000001\n",
|
|
|
|
|
"1 4 0.000461 0.000064\n",
|
|
|
|
|
"2 5 0.000237 0.000028\n",
|
|
|
|
|
"3 6 0.000954 0.000130\n",
|
|
|
|
|
"4 7 0.954681 0.979276\n",
|
|
|
|
|
"5 8 0.043658 0.020502\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": "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
|
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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
|
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|
]
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|
},
|
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
|
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|
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"output_type": "stream",
|
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"text": [
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"Cluster e:\n",
|
|
|
|
|
" term cpu ram\n",
|
|
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|
|
"0 -1 1.510196e-04 1.647196e-04\n",
|
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"1 4 3.620883e-03 3.212742e-03\n",
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"2 5 5.137287e-04 4.737717e-04\n",
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"3 6 1.672195e-02 1.310360e-02\n",
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"4 7 9.789918e-01 9.830448e-01\n",
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"5 8 6.259843e-07 3.428963e-07\n"
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]
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},
|
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{
|
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"data": {
|
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"image/png": "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
|
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|
|
"text/plain": [
|
|
|
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
|
|
|
|
},
|
|
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|
|
"output_type": "display_data"
|
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|
},
|
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|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"Cluster f:\n",
|
|
|
|
|
" term cpu ram\n",
|
|
|
|
|
"0 -1 0.000001 0.000003\n",
|
|
|
|
|
"1 4 0.000080 0.000135\n",
|
|
|
|
|
"2 5 0.000009 0.000021\n",
|
|
|
|
|
"3 6 0.000133 0.000218\n",
|
|
|
|
|
"4 7 0.943965 0.902279\n",
|
|
|
|
|
"5 8 0.055811 0.097345\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
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"image/png": "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
|
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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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},
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{
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"name": "stdout",
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"output_type": "stream",
|
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"text": [
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"Cluster g:\n",
|
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" term cpu ram\n",
|
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|
"0 -1 0.000013 0.000007\n",
|
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"1 4 0.000340 0.000253\n",
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"2 5 0.000044 0.000039\n",
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"3 6 0.001761 0.001667\n",
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"4 7 0.273768 0.309543\n",
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"5 8 0.724074 0.688491\n"
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]
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},
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{
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"data": {
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"image/png": "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
|
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|
|
"text/plain": [
|
|
|
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
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|
|
},
|
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|
|
"output_type": "display_data"
|
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|
},
|
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|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"Cluster h:\n",
|
|
|
|
|
" term cpu ram\n",
|
|
|
|
|
"0 -1 0.000001 2.221178e-07\n",
|
|
|
|
|
"1 4 0.000060 7.513351e-06\n",
|
|
|
|
|
"2 5 0.000009 1.435151e-06\n",
|
|
|
|
|
"3 6 0.000156 1.872738e-05\n",
|
|
|
|
|
"4 7 0.789101 9.771332e-01\n",
|
|
|
|
|
"5 8 0.210673 2.283888e-02\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAecAAAEICAYAAABlHzwDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAAAmX0lEQVR4nO3de3wU9b0+8OdJAiFAuIUYAwlEgQABjEKKYrX1UPkVKV4OF0WhKC0qKIWKRbC2HM053uqtXg8qtoBilQIKIoi13k7BWxDDHYLcQgCJAcM9Icnn98fM0mXZJAtZ2Al53q9XXuzOfGfmM7PDPjvfmd2hmUFERES8IyrSBYiIiMjxFM4iIiIeo3AWERHxGIWziIiIxyicRUREPEbhLCIi4jEK5zqG5C0k/+WBOlaTvCLEtkay/emtSE4VySUkLwqhnSdfR5LTSP5PJeNiSa4jmXim65K6rc6HM8ktJA+TPEByl/sftXGk66oMyY9Jjox0HScj2JufmXUxs48jVJIAIJnmBmZMDeZxNYD9ZrY8jKVVtbxKg/R0MLMSAH8BMOlMLVMEUDj7XG1mjQFcCOAiAPdGthw5FXREfJ+uSdjVQqMAvBrpIkJ1iq/N6wBuJhkb7npEKhPxNzIvMbNdABbDCWkAAMlLSC4l+QPJXP+uWJLnkfyE5H6S/yD5HMnX3HFXkNzuP3/3KP1K93EUyUkkvyVZRHIWyRbuuAYkX3OH/0DyK5JJJB8EcDmA59wj/efc9p3c5e8huZ7k9X7LTCA5n+Q+kl8CaFfZ+le2XHfcxyQfJvmlO695vnrd8X93ex6KSX5Ksos7/DYAQwHc49b8TpBt0ZPkZ+4yd7rbsX4or5lb14MklwA4BOD8arZHP5Jr3NesgOTv/MbdSnKjO918kq3c4SccYfr3YNA5VbCE5FMkiwDcTzKO5BMkt7rb5F8k49z2le5TAes2wre93Od5JP/u9zyf5IXu46fd5/tILiN5uV+7niRz3HHfkXzSHfWp++8P7mvTy23/K5JrSe4luZhk20rqqw+gN4BP/IZFk/y9u1/vd2tJreR1G+n3/NjpFjqeIrnbrXklya5V7EutSM4hWUhyM8mxfvO9n+Rsd7/eB+CWYOsCoDnJd92avyB57P+JmW0HsBfAJZVMKxJ+Zlan/wBsAXCl+zgFwEoAT7vPWwMoAtAPzgeZPu7zRHf8ZwCeBBAL4CcA9gN4zR13BYDtVSxrHIDP3WXGAngRwN/ccbcDeAdAQwDRAHoAaOKO+xjASL95NgKQD2AEgBg4R/7fA8hwx78BYJbbriuAAgD/qmRbVLfcAncejQDM8a2rO/5XAOLddfkzgG/8xk0D8D9VbIsecN74YgCkAVgL4Ld+bQ1A+0pq/hjANgBd3OmbVrM9dgK43H3cHEB393Fvt113dx2eBfCpOy7NrSEmYLkj3ce3ACgD8Bt3mXEAnnfbtHa35aXufKvcpwLW7XwAP7jtWgHYCnefcsftBRDlPh8GIMFd/t0AdgFo4Lef/tJ93BjAJVWs17UANgLo7M7rDwCWVrLtuwA4GDBsApz/Qx0BEEAmgITA1xEn7se3wN0vAfwcwDIAzdx5dAaQHGxfcrfNMgCTAdR3t8smAD93x98P4CiA69y2cUHWY5r7GvR013kmgDcC2swHMDbS71f6qzt/OnJ2vE1yP5w39d0A/ssdPgzAQjNbaGYVZvYPADkA+pFsA+BHAP5oZiVm9imcYAvVKAD3mdl2c85r3Q9gkHt0dhTOG217Mys3s2Vmtq+S+fQHsMXM/mpmZeac+5sDYDDJaAADAUw2s4NmtgrA9Cpqqm65r5rZKjM7COCPAK53lwEz+4uZ7fdbl0ySTUPZEO5yPnfr3wLng8pPQ5nWNc3MVptZGYC+lW0Pv3XMINnEzPaa2dfu8KEA/mJmX7vrcC+AXiTTQqxhh5k969ZQAufDyjgzK3C35VJ3vpXuU0G2yyY4H/guhPPhbzGAHSQ7udvn/8yswm37mpkVuev8BJwPAh391rk9yZZmdsDMPq9iPUYBeNjM1rrr8hCACys5em7m1udvJIA/mNl6c+SaWVHVm+4ER+F80OsEgG4tOytp+yM4H2yyzazU3WYvAxji1+YzM3vb3d6HK5nPW2b2pbvOM+HXe+baD2d9Rc4IhbPjOjOLh3O02wlAS3d4Wzgh94PvD8BlAJLhHMnsdYPKZ+tJLLMtgLf85rsWQDmAJDjn8BYDeIPkDpJ/IlmvivlcHFDjUADnAkiEcySQH2KN1S03cD71ALR0uzIfcbsy98E5Kgb+vR2rRDKd5AI63eL74ARCSNMGqauq7QE4H1b6AdhK55REL3e478gUAGBmB+AcTbU+hRpaAmgA4Nsg7arap4L5BM5++RP38cdwgvmnOL47+XduV3SxO8+m+Pc2/DWAdADr6Jyq6F/FerQF8LRfbXvgHL0G2w574YSov1QEX++QmdmHAJ6D0/uwm+RLJJtUUW+rgO35ezj/j3zyg055vF1+jw/B6WHwFw+nF0PkjFA4+zGzT+B0cT3uDsqHc7TYzO+vkZk9Aqd7tDnJRn6zaOP3+CCc7mEAzrk4OGHpkw/gqoB5N3CPtI6a2QNmlgGnO7Q/gOG+MgPKzgfwScB8GpvZaACFcLpb/c/5tUElqlkugsznKJyu4JvgdIdeCScU0nyrXUnNgf4XwDoAHcysCZw3V1Y9yfGl+z2uanvAzL4ys2sBnAPgbThd/gCwA84bvVO487omwOnK930AO/Z64t9hH6yG7wEcQfDz+1XtU8H4wvly9/EnCAhn9/zyPQCuB9DczJoBKIa7Dc0sz8xudNf5UQCz3fUL9rrkA7g9oL44M1sapO1GZ/FsHTB9pdc1+Dnu/wcCtqeZPWNmPQBkwPlgMcE3Kki9mwPqjTcz/56IcNx6rzOA3DDMRyQkCucT/RlAH5KZAF4DcDXJn7tHhw3oXOiVYmZb4XRHPkCyPsnLAFztN58NABqQ/IV79PkHOF2NPlMAPOjrLiSZSPJa9/F/kOzmBvo+OCFY4U73HZzzaj4LAKST/CXJeu7fj0h2NrNyAHPhXKDUkGQGgJsrW/FqlgsAw0hmkGwIIBvAbHcZ8XC6covgvOE+FDDrwJoDxbvLO+B22Y6uom11Kt0e7us0lGRTMzvqLtO3fn8DMILkhXSuyn0IwBdmtsXMCuGE9DB3P/gVqgggt6v5LwCedC9WiibZy51vpftUJbP7BMB/wDlXuh3A/8Hpuk8A4Pv6UjycD2GFAGJITgZw7EiT5DCSiW5dP7iDK9z2FTj+tZkC4F7++4K+piQHIwgzKwXwAY4/BTEVwH+T7EDHBSQTgkz+DYAB7n7ZHs7Rva/eH5G82P1/cxDOB53K9v8vAewnOZHORXjRdC4e+1Gwmk+F++GjBZxrRETOCIVzAPeNeAac87T5cI4Ifw/njSwfzid433a7CcDFcLr+/sudzjefYgB3wHmz8h19+V+9/TSci0zep3O++3N3XoBzFDEbTnishfMG/arfdIPoXEn7jJntB/D/4Jxj2wGne+5R/PuDwBg4XXS74PQK/LWK1a9quXAfT3Pn1QCA76rYGXC6hAsArMGJb2KvwDnP+wPJt4Ms93dwtuV+OOcL36yixiqFsD1+CWCL230+Ck6XN8zsAzjn0efA6RVph+PPW94K57UvgnMhVLAjycB1WgngKzj7x6NwLt6qbp8KXJ8NAA7ACWWYcw3AJgBL3A9GgHMq4j04Hwi3wgkz/67cvgBWkzwAZ/8ZYmaHzewQgAcBLHFfm0vM7C231jfcbbQKwFVVrOeLcLapz5NweiPeh7MfvQLnArlATwEohRO20+Gc5/VpAmc/2OuuTxGAx9xxx+1L7jboD+cc8WY4vRZT4fTghMtNAKa71wyInBE0C0ePjwDO1zbgXEw1LNK1hBvJj+FcnT010rWIt9D5GtsYO0M/RHImub0duQB+Yma7I12P1B116ccSROQ0MLMfR7qG08U9Wu4U6Tqk7lG3toiIiMeoW1tERMRjdOQsIiLiMRE759yyZUtLS0uL1OJFRGqlZcuWfW9muoXlWS5i4ZyWloacnJx
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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"for cluster in \"abcd\":\n",
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" df = pd.read_csv(glob.glob(DIR + cluster + \"_actual/part-*\")[0], header=None,\n",
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" names=[\"term\", \"cpu\", \"ram\"])\n",
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" plot_df(df, cluster, \"Actual\")\n",
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" \n",
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"for cluster in \"abcdefgh\":\n",
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" data = None\n",
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" with open(DIR + cluster + \"_res_micros_requested.json\", \"r\") as f:\n",
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" data = json.loads(f.read())\n",
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" dfd = {'term': [], 'cpu': [], 'ram': []}\n",
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" for term in [-1,4,5,6,7,8]:\n",
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" dfd['term'].append(term)\n",
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" dfd['cpu'].append(float(data[\"cpu-\" + (\"None\" if term == -1 else str(term))]))\n",
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" dfd['ram'].append(float(data[\"ram-\" + (\"None\" if term == -1 else str(term))]))\n",
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" df = pandas.DataFrame(dfd, columns=['term', 'cpu', 'ram'])\n",
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" plot_df(df, cluster, \"Requested\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
|
2021-05-12 12:15:49 +00:00
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"display_name": "Python 3",
|
2021-04-13 14:13:15 +00:00
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"language": "python",
|
2021-05-12 12:15:49 +00:00
|
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"name": "python3"
|
2021-04-13 14:13:15 +00:00
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},
|
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
|
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"version": 3
|
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},
|
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|
"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
|
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"nbconvert_exporter": "python",
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|
"pygments_lexer": "ipython3",
|
2021-05-12 12:15:49 +00:00
|
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|
"version": "3.8.3"
|
2021-04-13 14:13:15 +00:00
|
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}
|
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},
|
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"nbformat": 4,
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"nbformat_minor": 5
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}
|
