428 lines
168 KiB
Text
428 lines
168 KiB
Text
{
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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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"id": "black-funeral",
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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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"id": "hawaiian-cabin",
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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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"id": "blessed-updating",
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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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"id": "consistent-toilet",
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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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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Cluster b:\n",
|
|
" term cpu ram\n",
|
|
"0 -1 0.002582 0.004637\n",
|
|
"1 6 0.025877 0.012231\n",
|
|
"2 5 0.062950 0.083841\n",
|
|
"3 4 0.048340 0.073120\n",
|
|
"4 8 0.000036 0.000027\n",
|
|
"5 7 0.860215 0.826144\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Cluster c:\n",
|
|
" term cpu ram\n",
|
|
"0 -1 0.003376 0.003812\n",
|
|
"1 6 0.029399 0.033249\n",
|
|
"2 5 0.012294 0.020809\n",
|
|
"3 4 0.082099 0.080454\n",
|
|
"4 8 0.000093 0.000088\n",
|
|
"5 7 0.872740 0.861588\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"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": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Cluster a:\n",
|
|
" term cpu ram\n",
|
|
"0 -1 0.000340 0.001937\n",
|
|
"1 4 0.028384 0.033991\n",
|
|
"2 5 0.000583 0.000698\n",
|
|
"3 6 0.000001 0.000002\n",
|
|
"4 7 0.966613 0.957991\n",
|
|
"5 8 0.004079 0.005382\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"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": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Cluster c:\n",
|
|
" term cpu ram\n",
|
|
"0 -1 0.000001 0.000002\n",
|
|
"1 4 0.000086 0.000070\n",
|
|
"2 5 0.000013 0.000015\n",
|
|
"3 6 0.000150 0.000170\n",
|
|
"4 7 0.824831 0.796980\n",
|
|
"5 8 0.174918 0.202763\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"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": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Cluster e:\n",
|
|
" term cpu ram\n",
|
|
"0 -1 1.510196e-04 1.647196e-04\n",
|
|
"1 4 3.620883e-03 3.212742e-03\n",
|
|
"2 5 5.137287e-04 4.737717e-04\n",
|
|
"3 6 1.672195e-02 1.310360e-02\n",
|
|
"4 7 9.789918e-01 9.830448e-01\n",
|
|
"5 8 6.259843e-07 3.428963e-07\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"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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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Cluster g:\n",
|
|
" term cpu ram\n",
|
|
"0 -1 0.000013 0.000007\n",
|
|
"1 4 0.000340 0.000253\n",
|
|
"2 5 0.000044 0.000039\n",
|
|
"3 6 0.001761 0.001667\n",
|
|
"4 7 0.273768 0.309543\n",
|
|
"5 8 0.724074 0.688491\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"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": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"for cluster in \"abcd\":\n",
|
|
" df = pd.read_csv(glob.glob(DIR + cluster + \"_actual/part-*\")[0], header=None,\n",
|
|
" names=[\"term\", \"cpu\", \"ram\"])\n",
|
|
" plot_df(df, cluster, \"Actual\")\n",
|
|
" \n",
|
|
"for cluster in \"abcdefgh\":\n",
|
|
" data = None\n",
|
|
" with open(DIR + cluster + \"_res_micros_requested.json\", \"r\") as f:\n",
|
|
" data = json.loads(f.read())\n",
|
|
" dfd = {'term': [], 'cpu': [], 'ram': []}\n",
|
|
" for term in [-1,4,5,6,7,8]:\n",
|
|
" dfd['term'].append(term)\n",
|
|
" dfd['cpu'].append(float(data[\"cpu-\" + (\"None\" if term == -1 else str(term))]))\n",
|
|
" dfd['ram'].append(float(data[\"ram-\" + (\"None\" if term == -1 else str(term))]))\n",
|
|
" df = pandas.DataFrame(dfd, columns=['term', 'cpu', 'ram'])\n",
|
|
" plot_df(df, cluster, \"Requested\")"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "venv",
|
|
"language": "python",
|
|
"name": "venv"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.9.2"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|