bench_test-latency.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "efe506b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle as pkl\n",
    "import numpy as np\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "47b4f811",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>front-end_ctn_latency</th>\n",
       "      <th>front-end_ctn_cpu</th>\n",
       "      <th>front-end_ctn_mem</th>\n",
       "      <th>front-end_ctn_net_in</th>\n",
       "      <th>front-end_ctn_net_out</th>\n",
       "      <th>user_ctn_latency</th>\n",
       "      <th>user_ctn_cpu</th>\n",
       "      <th>user_ctn_write</th>\n",
       "      <th>user_ctn_net_in</th>\n",
       "      <th>user_ctn_net_out</th>\n",
       "      <th>...</th>\n",
       "      <th>carts_ctn_net_in</th>\n",
       "      <th>carts_ctn_net_out</th>\n",
       "      <th>payment_ctn_latency</th>\n",
       "      <th>payment_ctn_cpu</th>\n",
       "      <th>payment_ctn_net_in</th>\n",
       "      <th>payment_ctn_net_out</th>\n",
       "      <th>shipping_ctn_latency</th>\n",
       "      <th>shipping_ctn_cpu</th>\n",
       "      <th>shipping_ctn_net_in</th>\n",
       "      <th>shipping_ctn_net_out</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.967725</td>\n",
       "      <td>0.919269</td>\n",
       "      <td>0.386220</td>\n",
       "      <td>0.988891</td>\n",
       "      <td>0.989757</td>\n",
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       "      <td>0.998661</td>\n",
       "      <td>0.998728</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.967678</td>\n",
       "      <td>0.964468</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.799500</td>\n",
       "      <td>0.779866</td>\n",
       "      <td>0.887883</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.386220</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.007289</td>\n",
       "      <td>0.881395</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.011570</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>0.001359</td>\n",
       "      <td>0.961924</td>\n",
       "      <td>0.806594</td>\n",
       "      <td>0.937596</td>\n",
       "      <td>0.943102</td>\n",
       "      <td>0.949053</td>\n",
       "      <td>0.908910</td>\n",
       "      <td>0.441985</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.977455</td>\n",
       "      <td>0.890819</td>\n",
       "      <td>0.896963</td>\n",
       "      <td>0.053329</td>\n",
       "      <td>0.959655</td>\n",
       "      <td>0.935266</td>\n",
       "      <td>0.928831</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.009961</td>\n",
       "      <td>0.890476</td>\n",
       "      <td>0.508149</td>\n",
       "      <td>0.937596</td>\n",
       "      <td>0.943102</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.864126</td>\n",
       "      <td>0.441985</td>\n",
       "      <td>0.630091</td>\n",
       "      <td>0.627753</td>\n",
       "      <td>...</td>\n",
       "      <td>0.807842</td>\n",
       "      <td>0.809256</td>\n",
       "      <td>0.004755</td>\n",
       "      <td>0.785657</td>\n",
       "      <td>0.890819</td>\n",
       "      <td>0.896963</td>\n",
       "      <td>0.049957</td>\n",
       "      <td>0.960136</td>\n",
       "      <td>0.915968</td>\n",
       "      <td>0.918411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.020659</td>\n",
       "      <td>0.890476</td>\n",
       "      <td>0.508149</td>\n",
       "      <td>0.937596</td>\n",
       "      <td>0.943102</td>\n",
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       "      <td>0.813577</td>\n",
       "      <td>0.414229</td>\n",
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       "      <td>0.792738</td>\n",
       "      <td>0.793640</td>\n",
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       "      <td>0.940218</td>\n",
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       "      <td>0.026278</td>\n",
       "      <td>0.119796</td>\n",
       "      <td>0.020200</td>\n",
       "      <td>0.021143</td>\n",
       "      <td>...</td>\n",
       "      <td>0.036578</td>\n",
       "      <td>0.058854</td>\n",
       "      <td>0.727300</td>\n",
       "      <td>0.047051</td>\n",
       "      <td>0.023570</td>\n",
       "      <td>0.053280</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.053800</td>\n",
       "      <td>0.038624</td>\n",
       "      <td>0.103572</td>\n",
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       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>0.941414</td>\n",
       "      <td>0.021389</td>\n",
       "      <td>0.265850</td>\n",
       "      <td>0.023189</td>\n",
       "      <td>0.045861</td>\n",
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       "      <td>0.024546</td>\n",
       "      <td>0.119796</td>\n",
       "      <td>0.018513</td>\n",
       "      <td>0.019392</td>\n",
       "      <td>...</td>\n",
       "      <td>0.036501</td>\n",
       "      <td>0.054931</td>\n",
       "      <td>0.720943</td>\n",
       "      <td>0.064494</td>\n",
       "      <td>0.023570</td>\n",
       "      <td>0.053280</td>\n",
       "      <td>0.882299</td>\n",
       "      <td>0.055558</td>\n",
       "      <td>0.038624</td>\n",
       "      <td>0.103572</td>\n",
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       "      <th>58</th>\n",
       "      <td>0.928109</td>\n",
       "      <td>0.021567</td>\n",
       "      <td>0.265944</td>\n",
       "      <td>0.022233</td>\n",
       "      <td>0.046576</td>\n",
       "      <td>0.091981</td>\n",
       "      <td>0.024546</td>\n",
       "      <td>0.418752</td>\n",
       "      <td>0.020883</td>\n",
       "      <td>0.021810</td>\n",
       "      <td>...</td>\n",
       "      <td>0.036501</td>\n",
       "      <td>0.054931</td>\n",
       "      <td>0.719980</td>\n",
       "      <td>0.062163</td>\n",
       "      <td>0.023570</td>\n",
       "      <td>0.053280</td>\n",
       "      <td>0.922422</td>\n",
       "      <td>0.054716</td>\n",
       "      <td>0.037823</td>\n",
       "      <td>0.075551</td>\n",
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       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>0.937682</td>\n",
       "      <td>0.023159</td>\n",
       "      <td>0.265944</td>\n",
       "      <td>0.022233</td>\n",
       "      <td>0.046576</td>\n",
       "      <td>0.099781</td>\n",
       "      <td>0.024993</td>\n",
       "      <td>0.418752</td>\n",
       "      <td>0.020883</td>\n",
       "      <td>0.021810</td>\n",
       "      <td>...</td>\n",
       "      <td>0.036501</td>\n",
       "      <td>0.054931</td>\n",
       "      <td>0.738897</td>\n",
       "      <td>0.062568</td>\n",
       "      <td>0.006056</td>\n",
       "      <td>0.011172</td>\n",
       "      <td>0.915165</td>\n",
       "      <td>0.038357</td>\n",
       "      <td>0.037823</td>\n",
       "      <td>0.075551</td>\n",
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       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>0.931396</td>\n",
       "      <td>0.022280</td>\n",
       "      <td>0.316156</td>\n",
       "      <td>0.025044</td>\n",
       "      <td>0.051811</td>\n",
       "      <td>0.114219</td>\n",
       "      <td>0.025809</td>\n",
       "      <td>0.436415</td>\n",
       "      <td>0.020120</td>\n",
       "      <td>0.021432</td>\n",
       "      <td>...</td>\n",
       "      <td>0.038539</td>\n",
       "      <td>0.058123</td>\n",
       "      <td>0.664991</td>\n",
       "      <td>0.060841</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.059895</td>\n",
       "      <td>0.895872</td>\n",
       "      <td>0.028759</td>\n",
       "      <td>0.038983</td>\n",
       "      <td>0.090724</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>61 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    front-end_ctn_latency  front-end_ctn_cpu  front-end_ctn_mem  \\\n",
       "0                0.000177           1.000000           1.000000   \n",
       "1                0.000000           1.000000           1.000000   \n",
       "2                0.001359           0.961924           0.806594   \n",
       "3                0.009961           0.890476           0.508149   \n",
       "4                0.020659           0.890476           0.508149   \n",
       "..                    ...                ...                ...   \n",
       "56               0.940218           0.000000           0.286293   \n",
       "57               0.941414           0.021389           0.265850   \n",
       "58               0.928109           0.021567           0.265944   \n",
       "59               0.937682           0.023159           0.265944   \n",
       "60               0.931396           0.022280           0.316156   \n",
       "\n",
       "    front-end_ctn_net_in  front-end_ctn_net_out  user_ctn_latency  \\\n",
       "0               1.000000               1.000000          0.967725   \n",
       "1               0.799500               0.779866          0.887883   \n",
       "2               0.937596               0.943102          0.949053   \n",
       "3               0.937596               0.943102          1.000000   \n",
       "4               0.937596               0.943102          0.966232   \n",
       "..                   ...                    ...               ...   \n",
       "56              0.023189               0.045861          0.346855   \n",
       "57              0.023189               0.045861          0.254859   \n",
       "58              0.022233               0.046576          0.091981   \n",
       "59              0.022233               0.046576          0.099781   \n",
       "60              0.025044               0.051811          0.114219   \n",
       "\n",
       "    user_ctn_cpu  user_ctn_write  user_ctn_net_in  user_ctn_net_out  ...  \\\n",
       "0       0.919269        0.386220         0.988891          0.989757  ...   \n",
       "1       1.000000        0.386220         1.000000          1.000000  ...   \n",
       "2       0.908910        0.441985         1.000000          1.000000  ...   \n",
       "3       0.864126        0.441985         0.630091          0.627753  ...   \n",
       "4       0.813577        0.414229         0.680434          0.680339  ...   \n",
       "..           ...             ...              ...               ...  ...   \n",
       "56      0.026278        0.119796         0.020200          0.021143  ...   \n",
       "57      0.024546        0.119796         0.018513          0.019392  ...   \n",
       "58      0.024546        0.418752         0.020883          0.021810  ...   \n",
       "59      0.024993        0.418752         0.020883          0.021810  ...   \n",
       "60      0.025809        0.436415         0.020120          0.021432  ...   \n",
       "\n",
       "    carts_ctn_net_in  carts_ctn_net_out  payment_ctn_latency  payment_ctn_cpu  \\\n",
       "0           0.998661           0.998728             0.017280         1.000000   \n",
       "1           1.000000           1.000000             0.007289         0.881395   \n",
       "2           1.000000           1.000000             0.000000         0.977455   \n",
       "3           0.807842           0.809256             0.004755         0.785657   \n",
       "4           0.792738           0.793640             0.021768         0.786972   \n",
       "..               ...                ...                  ...              ...   \n",
       "56          0.036578           0.058854             0.727300         0.047051   \n",
       "57          0.036501           0.054931             0.720943         0.064494   \n",
       "58          0.036501           0.054931             0.719980         0.062163   \n",
       "59          0.036501           0.054931             0.738897         0.062568   \n",
       "60          0.038539           0.058123             0.664991         0.060841   \n",
       "\n",
       "    payment_ctn_net_in  payment_ctn_net_out  shipping_ctn_latency  \\\n",
       "0             1.000000             1.000000              0.000000   \n",
       "1             1.000000             1.000000              0.011570   \n",
       "2             0.890819             0.896963              0.053329   \n",
       "3             0.890819             0.896963              0.049957   \n",
       "4             0.890819             0.896963              0.014840   \n",
       "..                 ...                  ...                   ...   \n",
       "56            0.023570             0.053280              1.000000   \n",
       "57            0.023570             0.053280              0.882299   \n",
       "58            0.023570             0.053280              0.922422   \n",
       "59            0.006056             0.011172              0.915165   \n",
       "60            0.027273             0.059895              0.895872   \n",
       "\n",
       "    shipping_ctn_cpu  shipping_ctn_net_in  shipping_ctn_net_out  \n",
       "0           1.000000             0.967678              0.964468  \n",
       "1           1.000000             1.000000              1.000000  \n",
       "2           0.959655             0.935266              0.928831  \n",
       "3           0.960136             0.915968              0.918411  \n",
       "4           0.753303             0.915968              0.918411  \n",
       "..               ...                  ...                   ...  \n",
       "56          0.053800             0.038624              0.103572  \n",
       "57          0.055558             0.038624              0.103572  \n",
       "58          0.054716             0.037823              0.075551  \n",
       "59          0.038357             0.037823              0.075551  \n",
       "60          0.028759             0.038983              0.090724  \n",
       "\n",
       "[61 rows x 34 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#f = open('collected_data_all_cpu.pkl', 'rb')\n",
    "names = ['front-end', 'user', 'catalogue', 'orders', 'carts', 'payment', 'shipping']\n",
    "metrics = ['ctn_latency', 'ctn_cpu', 'ctn_mem', 'ctn_write', 'ctn_read', 'ctn_net_in', 'ctn_net_out']\n",
    "idx = 4\n",
    "f = open('./data_collected/cpu-hog1_'+names[idx]+'.pkl', 'rb')\n",
    "data = pkl.load(f)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1bde066b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>front-end_ctn_latency</th>\n",
       "      <th>user_ctn_latency</th>\n",
       "      <th>catalogue_ctn_latency</th>\n",
       "      <th>orders_ctn_latency</th>\n",
       "      <th>carts_ctn_latency</th>\n",
       "      <th>payment_ctn_latency</th>\n",
       "      <th>shipping_ctn_latency</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>0.000073</td>\n",
       "      <td>0.007289</td>\n",
       "      <td>0.011570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.001359</td>\n",
       "      <td>0.949053</td>\n",
       "      <td>0.950936</td>\n",
       "      <td>0.003507</td>\n",
       "      <td>0.006912</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.053329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.009961</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.957997</td>\n",
       "      <td>0.013409</td>\n",
       "      <td>0.017887</td>\n",
       "      <td>0.004755</td>\n",
       "      <td>0.049957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.020659</td>\n",
       "      <td>0.966232</td>\n",
       "      <td>0.932207</td>\n",
       "      <td>0.028595</td>\n",
       "      <td>0.029931</td>\n",
       "      <td>0.021768</td>\n",
       "      <td>0.014840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>0.940218</td>\n",
       "      <td>0.346855</td>\n",
       "      <td>0.293520</td>\n",
       "      <td>0.940887</td>\n",
       "      <td>0.911669</td>\n",
       "      <td>0.727300</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>0.941414</td>\n",
       "      <td>0.254859</td>\n",
       "      <td>0.446310</td>\n",
       "      <td>0.924100</td>\n",
       "      <td>0.919937</td>\n",
       "      <td>0.720943</td>\n",
       "      <td>0.882299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>0.928109</td>\n",
       "      <td>0.091981</td>\n",
       "      <td>0.360578</td>\n",
       "      <td>0.930114</td>\n",
       "      <td>0.914825</td>\n",
       "      <td>0.719980</td>\n",
       "      <td>0.922422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>0.937682</td>\n",
       "      <td>0.099781</td>\n",
       "      <td>0.443500</td>\n",
       "      <td>0.912199</td>\n",
       "      <td>0.911662</td>\n",
       "      <td>0.738897</td>\n",
       "      <td>0.915165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>0.931396</td>\n",
       "      <td>0.114219</td>\n",
       "      <td>0.450370</td>\n",
       "      <td>0.903069</td>\n",
       "      <td>0.904443</td>\n",
       "      <td>0.664991</td>\n",
       "      <td>0.895872</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>61 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    front-end_ctn_latency  user_ctn_latency  catalogue_ctn_latency  \\\n",
       "0                0.000177          0.967725               0.830182   \n",
       "1                0.000000          0.887883               0.859862   \n",
       "2                0.001359          0.949053               0.950936   \n",
       "3                0.009961          1.000000               0.957997   \n",
       "4                0.020659          0.966232               0.932207   \n",
       "..                    ...               ...                    ...   \n",
       "56               0.940218          0.346855               0.293520   \n",
       "57               0.941414          0.254859               0.446310   \n",
       "58               0.928109          0.091981               0.360578   \n",
       "59               0.937682          0.099781               0.443500   \n",
       "60               0.931396          0.114219               0.450370   \n",
       "\n",
       "    orders_ctn_latency  carts_ctn_latency  payment_ctn_latency  \\\n",
       "0             0.000061           0.000000             0.017280   \n",
       "1             0.000000           0.000073             0.007289   \n",
       "2             0.003507           0.006912             0.000000   \n",
       "3             0.013409           0.017887             0.004755   \n",
       "4             0.028595           0.029931             0.021768   \n",
       "..                 ...                ...                  ...   \n",
       "56            0.940887           0.911669             0.727300   \n",
       "57            0.924100           0.919937             0.720943   \n",
       "58            0.930114           0.914825             0.719980   \n",
       "59            0.912199           0.911662             0.738897   \n",
       "60            0.903069           0.904443             0.664991   \n",
       "\n",
       "    shipping_ctn_latency  \n",
       "0               0.000000  \n",
       "1               0.011570  \n",
       "2               0.053329  \n",
       "3               0.049957  \n",
       "4               0.014840  \n",
       "..                   ...  \n",
       "56              1.000000  \n",
       "57              0.882299  \n",
       "58              0.922422  \n",
       "59              0.915165  \n",
       "60              0.895872  \n",
       "\n",
       "[61 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "name=[i+'_'+'ctn_latency' for i in names]     \n",
    "service_metric = data[name]\n",
    "service_metric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0c778a4a",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "m = list(service_metric.columns)\n",
    "plt.figure(figsize=(13,10))\n",
    "for each in m:\n",
    "    plt.plot(service_metric[each], label=str(each))\n",
    "plt.legend(bbox_to_anchor=(1.5,0.5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "857bd4ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['front-end_ctn_latency',\n",
       " 'user_ctn_latency',\n",
       " 'catalogue_ctn_latency',\n",
       " 'orders_ctn_latency',\n",
       " 'carts_ctn_latency',\n",
       " 'payment_ctn_latency',\n",
       " 'shipping_ctn_latency']"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "c406eeaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.figure(figsize=(13,10))\n",
    "fig,(ax1,ax2,ax3,ax4,ax5,ax6,ax7) = plt.subplots(7,1,figsize=(8,5), sharex=True)\n",
    "ax1.plot(service_metric['front-end_ctn_latency'], c='k')\n",
    "ax1.set_yticks([])\n",
    "ax2.plot(service_metric['user_ctn_latency'], c='k')\n",
    "ax2.set_yticks([])\n",
    "ax3.plot(service_metric['catalogue_ctn_latency'], c='k')\n",
    "ax3.set_yticks([])\n",
    "ax4.plot(service_metric['orders_ctn_latency'], c='k')\n",
    "ax4.set_yticks([])\n",
    "ax5.plot(service_metric['carts_ctn_latency'], c='k')\n",
    "ax5.set_yticks([])\n",
    "ax6.plot(service_metric['payment_ctn_latency'], c='k')\n",
    "ax6.set_yticks([])\n",
    "ax7.plot(service_metric['shipping_ctn_latency'], c='k')\n",
    "ax7.set_yticks([])\n",
    "#ax7.set_xticks([])\n",
    "plt.xlabel('Time')\n",
    "#for each in m:\n",
    "#    ax.plot(service_metric[each])\n",
    "plt.savefig('example_metrics.png',dpi=800)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "43d87979",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 front-end_ctn_latency\n",
      "1 user_ctn_latency\n",
      "2 catalogue_ctn_latency\n",
      "3 orders_ctn_latency\n",
      "4 carts_ctn_latency\n",
      "5 payment_ctn_latency\n",
      "6 shipping_ctn_latency\n"
     ]
    }
   ],
   "source": [
    "X = service_metric\n",
    "met = service_metric.columns\n",
    "for i, m in enumerate(met):\n",
    "    print(i, m)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc83e367",
   "metadata": {},
   "source": [
    "## PC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "13e27d6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f6bbcaa443fa435fa16c123104ca0d81",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/7 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PC result\n",
      "[[ 0  1  0  1 -1  0  0]\n",
      " [-1  0  0  0  0  0  0]\n",
      " [ 0  0  0 -1  0  0  0]\n",
      " [-1  0 -1  0  0  0 -1]\n",
      " [ 1  0  0  0  0 -1  0]\n",
      " [ 0  0  0  0  1  0  0]\n",
      " [ 0  0  0 -1  0  0  0]]\n",
      "[0, 1, 2, 3, 4, 5, 6]\n",
      "[[0. 0. 0. 0. 1. 0. 0.]\n",
      " [1. 0. 0. 0. 0. 0. 0.]\n",
      " [0. 0. 0. 1. 0. 0. 0.]\n",
      " [1. 0. 1. 0. 0. 0. 1.]\n",
      " [0. 0. 0. 0. 0. 1. 0.]\n",
      " [0. 0. 0. 0. 0. 0. 0.]\n",
      " [0. 0. 0. 1. 0. 0. 0.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from causallearn.search.ConstraintBased.PC import pc\n",
    "from causallearn.utils.cit import chisq, fisherz, gsq, kci, mv_fisherz\n",
    "\n",
    "cg = pc(X.to_numpy(), 0.05, fisherz, False, 0, -1)\n",
    "adj = cg.G.graph\n",
    "\n",
    "print('PC result')\n",
    "print(adj)\n",
    "\n",
    "# Change the adj to graph\n",
    "G = nx.DiGraph()\n",
    "for i in range(len(adj)):\n",
    "    for j in range(len(adj)):\n",
    "        if adj[i,j] == -1:\n",
    "            G.add_edge(i,j)\n",
    "        if adj[i,j] == 1:\n",
    "            G.add_edge(j,i)\n",
    "nodes = sorted(G.nodes())\n",
    "print(nodes)\n",
    "adj = np.asarray(nx.to_numpy_matrix(G, nodelist=nodes))\n",
    "pos=nx.circular_layout(G)\n",
    "print(adj)\n",
    "nx.draw(G, pos=pos, with_labels=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "00caaa72",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.05780934 0.17165935 0.18697542 0.33349876 0.04111389 0.02196782\n",
      " 0.18697542]\n",
      "[(3, 0.33349876259748923), (2, 0.18697541620384045), (6, 0.18697541620384045), (1, 0.17165935003418045), (0, 0.05780934154932836), (4, 0.041113891918102274), (5, 0.021967821493218777)]\n"
     ]
    }
   ],
   "source": [
    "# PageRank\n",
    "from sknetwork.ranking import PageRank\n",
    "pagerank = PageRank()\n",
    "scores = pagerank.fit_transform(adj.T)\n",
    "print(scores)\n",
    "#cmap = plt.cm.coolwarm\n",
    "\n",
    "score_dict = {}\n",
    "for i,s in enumerate(scores):\n",
    "    score_dict[i] = s\n",
    "print(sorted(score_dict.items(), key=lambda item:item[1], reverse=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "543e4e2a",
   "metadata": {},
   "source": [
    "## GES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "aa29591f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "backward\n",
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      "x2\n",
      "x5\n",
      "[[ 0 -1  0 -1 -1  0  0]\n",
      " [-1  0  0  0  0  0  0]\n",
      " [ 0  0  0 -1  0  0  0]\n",
      " [-1  0 -1  0  0  0  0]\n",
      " [-1  0  0  0  0 -1 -1]\n",
      " [ 0  0  0  0  1  0  0]\n",
      " [ 0  0  0  0 -1  0  0]]\n",
      "x0\n",
      "x1\n",
      "x2\n",
      "x3\n",
      "x4\n",
      "x5\n",
      "x6\n",
      "x0\n",
      "x1\n",
      "x2\n",
      "x3\n",
      "x2\n",
      "[0, 1, 2, 3, 4, 5, 6]\n",
      "[[0. 1. 0. 1. 1. 0. 0.]\n",
      " [1. 0. 0. 0. 0. 0. 0.]\n",
      " [0. 0. 0. 1. 0. 0. 0.]\n",
      " [1. 0. 1. 0. 0. 0. 0.]\n",
      " [1. 0. 0. 0. 0. 1. 1.]\n",
      " [0. 0. 0. 0. 1. 0. 0.]\n",
      " [0. 0. 0. 0. 1. 0. 0.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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yL1T4yGvJ5XJ89NFHaNmyJVauXMl1HKIArq6uuHXrFi5cuIC8vDy0aNEC3bp1Q25uLtfRGhQ+n48LFy7g2rVrmDdvHtdxyH9R4SOvNXz4cOTm5iI6OprrKETBunTpgnv37uHEiRNITk6GtbU1+vTpQ7fiK5CjoyOWL1+OuXPnIj4+nus4BHRXJ3mNw4cPo2/fvjh06BB69+7NdRxSzw4cOIBx48YhPz8fgwYNwsaNG9GoUSOuYzUIn3zyCa5cuYLc3FwIhUKu42g0KnzkpQoKCmBjY4MhQ4Zg69atXMchSrRt2zZMmTIFT548QVBQEFavXk0LkL+nyspKiMVitG3bFpGRkVzH0WjU1UleytPTE5aWlti8eTPXUYiSBQUFoaCgAEuXLkVYWBgMDAwwefJk2gniPejo6CAiIgLR0dFYsmQJ13E0GhU+8kJjx45FWloaYmJiaMV/DTZ+/Hj8888/mD17NtavXw+RSIQ5c+ZALpdzHU0tubi4IDg4GFOnTsXt27e5jqOxqKuT1HHmzBl0794df/75JwYNGsR1HKIi5HI5ZsyYgRUrVkBbWxtz5szB5MmTuY6lljw9PZGcnIzc3FwIBAKu42gcKnykFolEArFYjF69emHv3r1cxyEqqLKyEhMnTsSmTZvQuHFjLFy4ECNGjOA6llqRSqUwNzeHp6cnTpw4wXUcjUN9WKQWLy8vGBkZYc+ePVxHISpKR0cHa9asQXFxMXr37o3vvvsOFhYWtBPEWxAKhThz5gxOnz6N9evXcx1H41DhIzWmTZuGO3fuIDY2lsb1yGvp6+tj+/btKCoqgpeXF4YMGYKmTZvi6NGjXEdTC506dcJPP/2EcePGITU1les4GoW6OgkAIDo6Gt7e3ti0aROGDx/OdRyihgoKChAQEICTJ0+iRYsW2LJlC3x9fbmOpfLc3NyQnZ2NR48e0RdOJaGfMsHTp0/Ro0cP9OzZk4oeeWempqY4fvw40tPT0axZM3Tt2hWtWrWi1UpeIzIyEhKJBAMGDOA6isagwkfg5+cHPT09HDp0iOsopAFo1qwZwsPDkZycDAMDA3Tq1Alubm5ITEzkOppKaty4MY4dO4ZDhw5h586dXMfRCGrT1VlQWoH9V7NwN1cCiVQGkVAAJ7EIA91sYNJYl+t4amvevHmYN28eEhMT4ejoyHUc0gDdvHkTAQEBSEhIQOfOnRESEoIWLVpwHUvlTJw4EatXr8aDBw/QtGlTruM0aCpf+G4+LMaaiPuIvJcPAKiQ/f/EWaGADwbA19EMY3zs0a6pITch1dTVq1fRsWNHLFu2DN9//z3XcUgDFxsbi6CgIKSkpKBr167YuXMnrKysuI6lUlq3bo2SkhKkp6fTeF89UunCFxKXjgXH70Iqq8arUvJ4gFCghZk9nTDUo7nS8qmzyspKmJubw83NDefOneM6DtEgZ86cwciRI/Hw4UP06tUL27Ztg7GxMdexVEJRURGsra0xYMAA7Nq1i+s4DZbKfqV4VvSSUF716qIHAIwB5VXVWHA8CSFx6UrJp+66desGPp9Pk2eJ0n366adIT0/H3r17ER8fDzMzMwwZMgSlpaVcR+OcsbExDhw4gNDQUBw4cIDrOA2WSha+mw+LseD4XZRX1V0PsKroETIW9UXB34vrPFdeJceC43dxK6tYCSnV19KlSxEVFYXz58/TivuEM/3790d2dja2bduG06dPw8jICCNHjkRlZSXX0TjVs2dPjBgxAkOGDMHjx4+5jtMgqWThWxNxH1JZ9QufKzq9HrqWDi99rVRWjbUR9+srmtpLTEzElClTMH/+fLi6unIdhxAEBASgoKAAy5Ytw759+2BgYICJEydq9E4QGzduRNOmTeHp6cl1lAZJ5QpfQWkFIu/lv7B7s+xOJPjCRhDatnvp6xkDwpPzUVhaUY8p1ZNMJoOPjw86deqEGTNmcB2HkFrGjRuHoqIizJkzB5s2bYKBgQFmz56tsTtBREdHIzMzE9999x3XURoclSt8+69mvfBxecVTFEeFwqjr6ydY8wDsv/bidjRZ7969UVlZSTezEJXF5/MxY8YMSCQSTJw4EYsWLUKTJk2waNEirqMpnVgsRmhoKDZu3IiTJ09yHadBUbnCdzdXUmvKwnPFF3ahcbtuEIjMXtuGVCbH3ZwSAM/uXjxx4gSmTp2q0WMHGzZswMmTJ3Hq1Cno6elxHYeQV+Lz+fjtt99QUlKCYcOGYebMmTAyMsKGDRu4jqZUAwYMwFdffYW+ffvin3/+4TpOg6FyhU8irduvX5n3ANKMmxB1+OKN27l0/RZ69OgBIyMjDBo0CIsWLUJ19YvHDRu61NRUjB07FjNmzEDnzp25jkPIGxMIBFi1ahUkEgn69OmDsWPHwtzcHLt37+Y6mtLs2rULpqam8PLy4jpKg6Fy8/h+CLuOQzeyaz0miT+M4gs7wdN5dqXCKqUAk0PbpCksg1a8sJ3ShPMoPLa05t98Ph+ffPIJXFxc4OHhAT8/P42YOySXy2FjYwMLCwtcv36d6ziEvBeJRIIRI0bgwIEDsLS0xNq1a9G7d2+uY9W7zMxM2NnZYcKECVi8uO4d7eTtqFzhWx+ZimVn79Xq7pRXScEqymv+Lbn8F2RP8mDcfSy09JvUaUMo4GPUR9Y4uexHREVFQSqVwsTEBC1btsTDhw9RVFSEyspKaGlpoUmTJrCysoKDgwNcXV3RpUsXfPTRRxAKhUp5v/VtwIABOHHiBHJyciASibiOQ4hCFBQUYNiwYTh+/DiaN2+OLVu2wM/Pj+tY9WrHjh0ICgpCeHg4fHx8uI6j1lSu8BWUVsDzj/MvHOd7rjgqFLLiHJj+58cXPi/gMewe3BLG+jr466+/8PPPP8Pf3x9btmypOaayshJxcXGIiorC9evXce/ePWRnZ+PJkyeQyWTQ0dGBsbExbGxs4OzsDDc3N/j4+MDFxUVtlhIKDQ2Fv78/zp49i65du3IdhxCFy8rKQkBAACIiIuDo6IgdO3agY8eOXMeqN3369MHZs2eRm5uLxo0bcx1Hbalc4QOAUbuu4ExS3mtXbHkxhrLkWBQcDIaenh74fD7Kyspw6NAhfPHFm40RFhcXIzIyErGxsbh16xZSU1ORl5eHkpISMMagp6cHU1NTNG/eHK1bt0bHjh3RtWtX2NravkvgepGVlYWWLVti9OjRWLHixd3BhDQUKSkp8Pf3x+XLl9GuXTvs2rULbdq04TqWwsnlclhaWqJp06a4cuUK13HUlkoWvpsPizF4UxzKq97+ZhQ9bS300LmLFb9Mrpn/IxaLkZWVBS0trffOlpGRgYiICFy6dAmJiYlIT09Hfn4+ysvLwePx0LhxY4jFYrRs2RIuLi7o3LkzfHx8lDqeKJfL0aJFC+jr6yMpKUlp5yWEa7du3UJAQABu3boFDw8PhIaGNridIFJSUuDs7IyZM2di7ty5XMdRSypZ+IB/r9X55pNX9bT5mNnTGV93skXPnj1x7tw5VFdXQy6Xo127dti5cydcXFzqJa9cLsetW7cQGRmJq1evIikpCVlZWXXGE62treHg4IAPP/ywZjxR0cuGBQYGIiwsDNnZ2RpxAw8h/+vixYv45ptvkJycDD8/P+zatatB7QSxdu1ajB8/HnFxcejQoQPXcdSOyhY+4C12ZwBQXSWFV6N87Jg1AgKBAEVFRfjggw9gamqKffv2ITAwEDdu3EDHjh0REhICe3t7pb0PqVSK2NhYREdH48aNG0hJSakZT6yurq4ZT2zatCmcnZ3h7u4OHx8ftGnT5q3HEw8ePIj+/fvjyJEj6NWrVz29I0LUw7lz5zBixAhkZGTg888/x44dOxrMl8Fu3brh0qVLyMvLazA34ymLShc+ALiVVYy1EfcRnpwPHp5NTn/u+X58fo5m2DXDH0+z7sLKygoLFy7E4MGDce/ePfB4PDg5OQEALl++jGHDhuHu3bvw8fHBrl27YGNjw80b+6/CwkJEREQgLi4Ot27dwoMHD5CXl4fS0lIwxqCvrw8zM7Oa8cROnTrB19cXzZo1q9PW48eP0bRpU/j7+2Pz5s0cvBtCVNPhw4cxZswY5ObmYuDAgdi8ebPa3xwik8lgYWGBVq1aISoqius4akXlC99zhaUV2H8tC3dzSiCRVkEk1IaTpQEGtH+2A7uPjw8uXLgAABAKhXBycnrpvLXz589j5MiRSEtLQ48ePbBjxw6Ympoq8+28kdTUVERERCA+Ph6JiYnIyMhAQUEBysvLwefza8YT7ezsarpytbW18eDBA7W585QQZQoJCcHEiRNRXFwMf39/rF27Vq2vlhISEuDq6org4GBMnTqV6zjqgzUQM2bMYDwejwFgurq6LCws7LWvOXz4MLO2tmZ8Pp8NGDCAPXnyRAlJ3191dTWLj49nS5cuZV9//TVzc3NjQqGQAWAAmEAgYCYmJqxt27asf//+bP78+SwyMpJVVFRwHZ0QlbBmzRrWpEkTpqOjw77//ntWVVXFdaR39scffzA+n88SEhK4jqI2GkzhCwsLY3w+n5mamjI+n8/u37//xq8NDQ1lZmZmTEtLiwUGBrLy8vJ6TKp4J0+eZDwej+3Zs4c9ffqUnT17ls2ZM4f16dOHtW7dmhkZGTEtLa2aLwWWlpasY8eOLDAwkK1atYolJCSw6upqrt8GIUpVXV3Nfv/9d9aoUSMmFArZTz/9pLZ/B56enszY2FitC7gyqU1X5+sUFRVh69at+P7779G5c2dkZ2fj0aNHb9Xlt2HDBkyfPh1lZWX49ttvsWzZMggEgnpM/f6Ki4thZWWFL774An/++ecrjy0oKEBERAQuXryIhISEmvHEsrKyWuOJLVq0QJs2bWrGE7keByWkPsnlcsyaNQtLly6FlpYWZs2ahSlTpqjVcIFUKoWFhQU8PDxw6tQpruOovAZT+P6ttLQUFhYW6N69O/7666+3fv2iRYswd+5cyGQyTJw4EQsWLFDZPwIXFxcUFRUhMzPzvTKmpKQgMjISly9fxp07d2rGE6VSKfh8PgwMDGqNJ3700Ufw9vamZdBIgyGTyTB58mSsW7cO+vr6CA4OxujRo7mO9cbi4+Ph4eGBVatWYcyYMVzHUW2cXm/Wo/DwcMbj8diOHTve6fXV1dVs1qxZTCgUMn19fTZ//nyV6wb58ccfmUAgYOnp6fV2jqqqKnb58mW2ePFi9tVXX7H27dszc3Nzpq2tXTOeaGpqytq1a8cGDhzIgoODWXR0NHW5ELVVXl7OgoKCmJaWFjM1NWW7du3iOtIb++WXX5iWlha7d+8e11FUWoMtfIwxNnHiRCYQCFhmZuY7t1FVVcV++OEHpqOjw0QiEVu1apUCE767CxcuMB6Px7Zu3cpZhrKyMnby5Ek2a9Ys1rt3b+bs7MwMDQ0Zn8+vGU+0srJiHh4ebNiwYWzNmjXs9u3bKvcFgpAXKSkpYYMGDWJ8Pp9ZWVmxQ4cOcR3pjbi5uTELCwv6O3uFBtnV+W+tW7dGSUkJ0tPT36srUCqVYvz48di+fTuaNGmCJUuWIDAwUIFJ31xZWRksLCzQtWtXHDlyhJMMr5Obm4vIyEjExcUhISEBaWlpyMvLw9OnT8EYQ6NGjeqMJ/r5+TWo1TVIw1BQUICgoCAcO3YMtra22Lx5Mz7++GOuY71UaWkpxGIxPv30Uxw8eJDrOCqpwRe+oqIiWFtbY+DAgdi5c+d7t1daWoqRI0di7969sLCwwOrVq9GvXz8FJH1zHTt2REZGBrKzsxWy/qgyyeVypKSk1MxPvHPnDjIzM1FYWFhrPNHS0rJmPNHT0xPe3t5qP+GYqLfs7Gz4+/sjPDwcjo6O2L59Ozp16sR1rBe6cOECfH19sW3bNs6+oKs0Tq83leTYsWOMx+Ox/fv3K6zNwsJC1rt3b8bn85mtrS07ffq0wtp+lblz5zItLS129+5dpZxPmaqqqlhcXBxbuHAhGzx4MPvwww+ZmZlZrfFEMzMz5urqygYNGsT++OMPFhsbS+OJRKnu37/POnfuzHg8HmvXrp3Kzp+bNGkSEwgELCMjg+soKqfBX/E9N2rUKOzYsQMPHz6Eubm5wtrNyclBQEAAzp07BwcHB2zduhWenp4Ka//frly5gk6dOmHFihUYN25cvZxDVZWWliIqKgqxsbG4ceMG7t+/j9zcXEgkEsjlcgiFQpiYmKBZs2Zo1aoVOnToAF9fXzg4OKjsHblEvd2+fRv+/v64efMmOnbsiNDQUNjZ2XEdq5Y2bdpAIpG891BPQ6MxhQ8A7O3twefzce/ePYW3nZaWBn9/f8TGxqJNmzbYuXMnXF1dFda+VCqFWCyGm5sbzp07p7B2G4Ls7Oya8cTbt28jLS0Njx8/RllZGXg8HvT19WFhYYEWLVqgbdu28PDwgI+PD8RiMdfRSQNw6dIlDBs2DMnJyfD19cXOnTtVZu5rcXExLC0t0a9fP4SGhnIdR2VoVOHLzc2Fra0tgoKCsH79+no5R2JiIgICAnD9+nW4u7sjNDQUDg4O792uj48PEhISkJubq/BtjBoquVyO5OTkmvHEpKSkmvHEiooK8Pl8iEQiiMVi2Nvbw9XVFR999BG8vLxoPJG8tfPnz2PEiBFIT09XqTWAT5w4gc8//xx79+7FgAEDuI6jGrjsZ+XCvn37GI/HYydOnKjX88THx7NWrVoxHo/HvL2936ufffHixYzP57ObN28qMKFmq6qqYtHR0Sw4OJgNHDiQtWvXjpmamjKBQMAAMG1tbWZmZsY+/PBDNnjwYLZw4UIWFxdH44nktf69BvDAgQNVYg3gb7/9luno6LCcnByuo6gEjbrie+7rr7/GX3/9hZycHBgaGtbruSIiIjBixAg8ePAA3bt3x44dO95qjPH27dto164dFixYgOnTp9djUvKcRCLBhQsXEBsbi5s3byI1NRW5ubkoKSmpNZ5oa2tbM57o5+enkCt70nCEhoZi4sSJKCoqgr+/P9atW8fpThAODg5gjOH+/fucZVAVGln45HI5bG1tYWhoiISEBKWc8+jRoxg9ejSys7PRp08fbNu27bXLfclkMojFYjg6OiImJkYpOcmrZWVlISIiApcuXaoZT8zPz8fTp0/B4/HQqFEjmJubo2XLljXjib6+vgq9oYqol3Xr1uGnn37ifA3g5/t1BgYGYuPGjUo/v0rh9HqTQxkZGUwgELAff/xRqefds2cPMzc3Z1paWiwgIICVlZW99NjPPvuMGRgYqN1uEZqourqaJSQksNWrV7Nhw4axTp06MUtLS6arq8sAMC0tLWZkZMRatWrFvvjiC/bLL7+w06dPv/L/nzQc1dXVbOHChaxRo0ZMV1eXTZ8+nZOVVZ4P9Rw7dkzp51YlGlv4GGNs+/btjMfjscjISKWfe8OGDczIyIhpa2uz0aNH19krb926dYzH47G4uDilZyOKVVFRwaKiothvv/3GBgwYwFxcXJiJiUmt8URzc3Pm5ubGhgwZwpYsWcIuX75MS041QNXV1eznn39mQqGQNWrUiP32229K/3/++uuvmVAoZIWFhUo9ryrRyK7Of+vTpw/Onj2L3NxcTu7kW7JkCebMmYOqqipMmDABwcHBSEtLg6OjI2bMmIFff/1V6ZmI8hQXF+PChQu4ePFirfHE0tLSmvFEU1PTmvHEjh07ws/PT+Xmi5G3I5PJMGXKlJod4H/77TeMHTtWKeeWy+Vo3rw5DAwMkJiYqJRzqhqNL3xyuRxWVlZo2rQp4uPjOcswb948LFy4EDweD3w+H/b29rh+/ToneYhqyMzMrBlPTExMRHp6ep3xRAsLi5rxxM6dO8PX11clbqEnb0YqlWLcuHHYsWMHmjRpgqVLlyIgIKDez5uZmQk7OzuMHz8eS5curffzqRqNL3zAs73onJ2d8fPPP2POnDmc5ZDJZHB2dsb9+/dhYGCA+fPn4/vvv+csD1FNcrkct2/fRmRkJK5cuYKkpCQ8fPgQRUVFqKyshJaWFkQiEaysrODg4ABXV1d06dIFnp6enN5VSF7uf9cAXrNmDfr27Vuv59y5cyeGDRuG8+fPw9fXt17PpWqo8P3X2rVrMX78eMTFxaFDhw6cZHj+i3jixAkcOHCg5s7PxYsXIygoiJNMRL1IpVLExcUhOjoa169fR0pKCh49eoQnT56guroaOjo6MDIygo2NDZycnODu7g5vb2+4urrSklYqoKioCEFBQTh69CiaNm2KTZs24dNPP6238/Xt2xenT59GXl6eRi3aQIXvX7p164ZLly4hLy9P6d+MHz58iJYtW2LcuHFYtmwZAODp06cYOXIkwsLCYGZmhlWrVtHKC+SdFRUVITIyEhcvXsStW7fw4MED5OXloaSkBIwx6OnpwdTUFM2bN0fr1q3RsWNHdO3aFba2tlxH1zjZ2dkICAjA+fPn4eDggO3bt6Nz584KP49cLoe1tTWsra1x5coVhbevqqjw/YtMJoOFhQVatWqFqKgopZ33+WBz48aNcefOnTrPFxcXIygoCEeOHIGNjQ3Wr1+PHj16KC0fafgyMjJeOJ5YXl4OHo+Hxo0bQywWo2XLlnBxcUHnzp3h4+MDY2NjrqM3aGlpaRg6dCguXryItm3bYteuXXBxcVHoOVJTUzXvZjpO7iVVYQkJCYzP57OFCxcq7ZxDhw59o9uLc3Jy2Keffsp4PB5zcHBgUVFRSkpINFV1dTW7fv06W758OfP392fu7u5MLBYzHR2dmvmJxsbGrG3btqxfv37s119/ZeHh4XWm55D3c/v2bda+fXvG4/FYx44d2b179xTa/tq1azVq+hQVvhdYuHAh4/P5Stlna//+/W89oTQ9PZ116dKF8Xg81qZNG3b16tV6TEjIi5WXl7Nz586xuXPnsr59+7I2bdowY2NjpqWlxQAwHR0dJhaLWYcOHZi/vz9bvnw5u379Os1PfA+XL19mzs7OjMfjMR8fH/bw4UOFtd2tWzcmEok0YsEM6up8CS8vL9y5cwd5eXn1trzQ8yWEAgICsGnTprd+fVJSEvz9/XHt2jW4ubkhJCQEjo6O9ZCUkLdTWFiIiIgIxMXF1RpPLC0trRlPNDMzqxlP7NSpE/z8/NCsWTOuo6uFiIgIDB8+HGlpafjss8+wY8cOmJmZvVebz4d6nJ2dER0draCkqokK30tIpVJYWFjAw8MDp06dqpdzODg4QC6XIzU19b3auXLlCoYNG4Y7d+6gS5cuCAkJoQ8QorJSU1NrtopKTExERkYGCgoKasYTDQwMYGFhATs7O7i4uOCjjz6Cj49PvS8or47+vQZw3759sXXr1teuAfwqzxfFDw4OxtSpUxWYVMVwer2p4i5fvsz4fD5bs2aNwtuuj21CIiMjmb29PePxeKxbt24sLy9PYW0TUt+qq6tZfHw8W7ZsGfv666+Zm5sbs7CwqBlPFAgEzMTEhLVt25b179+fzZ8/n0VGRtJ4ImNs9+7dtdYAfvr06Tu39XyopyFvg0aF7zV++eUXpqWlpdDB5BMnTjAej8f27dunsDb/7dixY6xp06aMz+ezvn37sn/++adezkOIspSXl7OzZ8+yOXPmsD59+rDWrVszIyOjmvFEXV1dZmlpyTp27MgCAwPZqlWrWEJCgsaNJ27YsIEZGhoybW1tNmbMGFZZWflO7Xh5eTEjI6MG+6WCujrfgLu7O7KyspCdnf3ek3yLi4thaWmJvn37Yvfu3QpK+GJ79+7F999/j4KCAnz11VfYsGED9PX16/WchChbQUEBIiIicPHiRSQkJNSMJ5aVlYExBn19fZiZmaFFixZo06YNOnXqBF9fX9jY2HAdvd68aA3gt/nsej7U07FjR5w5c6Yek3KDCt8bKC0thVgsxqeffoqDBw++V1tt27ZFcXExMjIylLZSxubNmzFt2jRIJBIMHz4cK1euhI6OjlLOTQiXUlJSEBkZicuXL+POnTs144lSqRR8Ph8GBgYQi8Wws7NDu3bt8NFHH8Hb2/u9xslUxf+uAfzTTz9hxowZb/y5Ex8fDw8PDyxcuBDx8fEQi8VYvnx5/YZWFk6vN9VIZGQk4/F4bMeOHe/cxuTJk5lAIGAZGRkKTPbmli1bxgwMDJiuri778ccfmUwm4yQHIVyrqqpily9fZosXL2ZfffUVa9++PTM3N2fa2to144mmpqasXbt2bODAgSw4OJhFRUWpZddfVVUVmzRpEtPR0WEikYitXLnyjV/77bff1vw8HBwc6jGlclHhewuTJk1658L1vHBu3769HpK9uerqajZ37lymp6fH9PT02Ny5czVuHISQVykrK2OnTp1is2fPZr1792atWrVihoaGdcYTO3XqxIYNG8bWrFnDbt++rfJ/RxUVFWzkyJE1Nwm97rPo0KFDNV8E8N99IxvKl2Xq6nxLbdq0gUQiQXp6+ht3GTzvKv3kk09w6NCh+g34huRyOaZNm4ZVq1ZBR0cHc+fOxcSJE7mORYhKe/z4cc38xOfjiY8fP64ZT2zUqFGd8UQ/Pz9YWVlxHb1GaWkpvv32W+zZswfm5uZYvXo1+vfvX+e469evY+jQocjIyEBZWRm0tLSQlJQEBwcHDlIrFhW+t/T85pT+/fsjJCTkjV7j7u6Ohw8fIicnR+VWwK+srMSECROwefNmiEQiLFy4EMOHD+c6FiFqJyUlBeHh4YiPj68ZTywsLKw1nmhpaVkznujp6Qlvb2/OdkUoKirCN998g7///hs2NjbYuHEjunfvjkePHmHcuHEICQmBvr4+jh8/ju+++w5ZWVmYOHFizf59BaUV2H81C3dzJZBIZRAJBXASizDQzQYmjXU5eU9vigrfOzhx4gQ+//xz7N2797W7JcyZMwfz589X+W9KT58+xXfffYfdu3fD1NQUK1euxJdffsl1LELUnkwmw9WrV3HhwgVcu3YNycnJyMrKQnFxMaqqqiAQCGBkZARra2s4Ojqiffv28PLyQocOHept1ah/y83Nhb+/P86dOwd7e3vY2dnhzJkzGDRoEEJDQwEAjDGMGDECp0+fxt+xt7A2IhWR9/IBABUyeU1bQgEfDICvoxnG+NijXVPDes//LqjwvaPvvvsO27ZtQ2ZmJiwsLF54zPO7olatWoUxY8YoOeG7KS4uxjfffIPDhw/D2toa69evR8+ePbmORUiDVFpaiqioKMTGxuLGjRu4f/8+cnNzIZFIIJfLIRQKYWJigmbNmqFVq1bo0KEDfH194eDgoPDeo/T0dAwYMABXr14FAAiFQmzduhVfffVVzTG/7Y3CztulqJDJ8arKweMBQoEWZvZ0wlCP5grNqQhU+N6Dg4MDGGO4f/9+neeez4Pp1KkTTp8+zUG695OXl4fAwECcPn0adnZ22LJlC7y9vbmORYjGyM3NRXh4OOLi4nD79m2kpaXh8ePHePr0KQBAX18fFhYWaNGiBdq2bQsPDw/4+fnB3Nz8nc85cOBA/PXXX5DLn13F8Xg8hIeHw8fHByFx6VhwPAnlVfLXtPL/9LT5mNnTWeWKHxW+9/B8kenAwEBs3Lix1nPKWORaGTIyMuDv74/o6Gi0atUKO3fuRPv27bmORYjGksvluHfvXs16p0lJScjMzKw1nigSiWBpaQkHB4ea8UQvL69XLmBRUlICd3d3aGtrg8fjobS0FNnZ2eDxeFi+8yBW3OahvKq61muqy0tQeHwFpOnXwdcTwcgnEI1a+9Y6Rk9bC2GjPOBiY1gPP413Q4XvPR04cAADBw7E0aNHa7oEFy1ahOnTp+P69esK3zSSK0lJSQgICMDVq1fRvn177Nq1C87OzlzHIoT8i0wmQ3x8PKKiomrGEx89eoR//vkHMpkM2traMDQ0hI2NTc14ore3N9zc3HDx4kV8/PHHNV2cz+9fyMzMxOzTDxH5oLhO92b+4YUAYzDp+T0q8x7g8f65EA9dBB0z25pjeDygeysLrB/qrswfxStR4VOAoUOH4sCBA3j06BGys7Mb9Orm165dQ2BgIBITE+Hp6YmQkBDY2tq+/oWEEE6VlpbiwoULiImJwc2bN5GamoqcnByUlJRALpdDIBCguroajDEIBAK0a9cOoaGhMLFuDs8/zte6iQUA5JVSPFw+GFYj1kDb2BoAUPD3EmgZmMDId1itY3UFfMRO66oyd3tS4VMAuVyO5s2bw8DAALm5uRqxn1V0dDS++eYb3L9/H5988gl27twJsVjMdSxCyDvIzs7GiBEjcOLECQDPxvYYY9DW1kbfn9bgRrVNncJXmZuK3JApaPbjXzWPPbn0FyoyE2A+8JdaxwoFfEz89AN8621X/2/mDajWpDI1xefzERsbi6SkJJSWluLs2bNcR6p3Xbp0wb1793Ds2DEkJyfD2toaffr0QXFxMdfRCCFvycrKCgKBAHw+H507d8aGDRvw+PFjVFRUwNLZvU7RAwB5VTl4urXHDPm6+pBXltc5ViqT425OSb3lf1tU+BTkyJEjYIyhqqoKcXFxXMdRmh49eiAjIwNhYWG4dOkSTE1N8fXXX6OsrIzraISQt7Bu3Trk5+cjNjYWI0eOhJmZGXg8HiRS2QuP52vrgVXULnKs4in4OnovPF4irVJ45ndFhU8BUlJS8P3332PWrFno06cPevXqhdLSUq5jKdWAAQOQk5ODTZs24eTJkzA0NMSoUaNQWVnJdTRCyBuwtraGsbFxncdFwhfflS4wtgaTV6Oq6FHNY5WP06Bt9uIxf5FQWzFBFYAK33uSy+Xw8vKCq6sr5s2bh/3798PAwAC+vr5cR+NEUFAQCgsLsXjxYuzZswcGBgaYPHkyZLIXf2skhKg2J7EIuoK6pYKvI4S+Y2cUR4VCXimFNOsOnt6/hEat/eocKxTw4WRpoIy4b4QK33vq378/SktLERERAeDZeF90dDRu3LiB2bNncxuOQxMmTEBxcTFmzZqF9evXQyQSYc6cOTUTYwkh6mGA28s37DXuNgZMVomsVV+j4MgimHQbU2sqw3MMwID2qrPxL93V+R527tyJYcOG4fz583Wu8NatW4dx48YhLi4OHTp04CagipDL5ZgxYwZWrFgBbW1tzJkzB5MnT+Y6FiHkDY3adQVnkvJeuUzZy9A8vgYkMzMTdnZ2GD9+fM1q5f/rs88+w8WLF5GXlwehUKjkhKqnsrISP/zwAzZt2gQDAwMsXLgQI0aM4DoWIeQ1bj4sxuBNcXVWbnkTtHJLA/F83p5IJMLt27dfepxMJoNYLIaTk1ODn9f3Np4+fYrRo0c/mxxrYoKVK1di0KBBXMcihLxCQ1qrk8b43kFAQADy8/NfW8wEAgEiIiJw8eJFLFy4UEnpVJ++vj527NiBgoICdOnSBUOGDEHTpk1x7NgxrqMRQl5iqEdzzOzpDD1tLfB4rz6Wx3t2paeKRQ+gK763tn//fnz55Ze11uZ8ncWLF2PatGkNau1ORXr8+DECAwNx6tQptGzZEps3b9bYu2IJUXW3soqxNuI+wpPzwcOzyenPPd+Pz8/RDGN87VWqe/PfqPC9hdzcXNja2iIoKAjr169/q9d6e3sjMTFR7XdrqE+ZmZkICAjAhQsX4OzsjO3bt2v8jUGEqKrC0grsv5aFuzklkEirIBJqw8nSAAPa0w7sDYq9vT0AvHD/vdeRSqUQi8Xo2LGjWu7Pp0zJycnw9/fHlStX8OGHH2Lnzp1o3bo117EIIQ0EjfG9oVGjRuHhw4eIiYl5p9cLhUKcPXsW586dw+rVqxWcrmFxdHTE5cuXce3aNVRVVaFt27bw9PREWloa19EIIQ0AFb43cPz4cWzevBmhoaGwsLB453bc3d0xa9Ys/PDDD0hJSVFgwobJ1dUVt27dQlRUFAoKCmBnZ4dPPvkEOTk5XEcjhKgx6up8jaKiIlhbW6N///4ICQlRSJsdOnRAZmYmcnJywOfTd483derUKXz77bd4+PAhevXqhW3btr1wbUFCCHkVKnyv0aZNG0gkEqSnpyusSJWWlkIsFuOTTz7BoUOHFNKmJjlw4ADGjx+PvLw8DBo0CBs3bkTjxo25jkUIURN0ufEKkyZNQnJyMqKjoxV6Zda4cWOcOHECR44cwfbt2xXWrqbo378/srOzsXXrVpw+fRpGRkYYOXIk7QRBCHkjVPheIiIiAsuXL8eWLVvQrFkzhbfv5eWFyZMnY+TIkcjMzFR4+5ogMDAQBQUFWLp0Kfbu3QsDAwNMnDiRdoIghLwSdXW+wPOuyE8//RQHDx6s13O1bdsW//zzDzIzM2m87z3I5XIEBwfjt99+g1wux5QpUzBnzhz6mRJC6qDC9wLu7u549OgRHj16VO8fnMXFxbC0tETfvn2xe/fuej2XJpDL5Zg5cyaWLVsGbW1tzJ49G1OmTOE6FiFEhdDX4f8xe/Zs3LhxA1FRUUq5WjA0NMShQ4ewZ88e7Nu3r97P19Dx+XwEBwdDIpFg2LBhmDlzJoyMjLBx40auoxFCVARd8f1LfHw8PDw8sGrVKowZM0ap5x49ejS2bt2KjIwMiMVipZ67IZNKpfjuu+8QEhICY2NjLF++HEOGDOE6FiGEQ1T4/ksqlcLCwgIeHh44deoUJxk++OADVFdXIzU1lZPzN2QSiQTDhw/HX3/9BUtLS6xduxa9e/fmOhYhhAPU1flfn3zyCQQCAadb40RHRyMrKwsjR47kLENDJRKJsG/fPuTl5aFdu3bo06cPWrZsifDwcK6jEUKUjAofgIULF+LixYuIjIzkdOcEc3Nz7NmzB1u2bMHx48c5y9GQmZqa4tixY8jMzIStrS0+/vhjODs7Iz4+nutohBAl0fjCd+vWLcyYMQO///472rRpw3Uc9O3bF0OHDkX//v1RVFTEdZwGy8bGBuHh4UhOTkaTJk3QqVMntG/fHrdv3+Y6GiGknmn0GF9VVRXEYjFatWqFqKgoruPUkMvlaNGiBRo1aoQ7d+5wHUcj3Lp1C/7+/khISICHhwdCQ0PRokULrmMRQuqBRl/x9ezZEzKZDGfOnOE6Si18Ph8xMTFISUnBxIkTuY6jEVxcXHDz5k3ExMSgqKgIdnZ2+Pjjj5Gdnc11NEKIgmls4Vu9ejXOnz+Ps2fPQigUch2nDhsbG2zfvh0rVqzA+fPnuY6jMTp37oy7d+/i1KlTSE1NhY2NDf7zn/9QtzMhDYhGdnXeu3cPrVq1ws8//4w5c+ZwHeeVBgwYgBMnTiAvL492IODAwYMHMXbsWOTl5WHgwIHYvHkz/T8QouY0rvDJ5XJYWlqiWbNmanEnn1wuh7W1NaysrHD16lWu42isnTt3YvLkySguLoa/vz/Wrl2rkj0FhJDX07iuzn79+qGsrExt5m/x+XxER0fj5s2bmDlzJtdxNFZAQADy8/OxbNky/PXXX2jSpAkmTJhAO0EQooY0qvBt374dR44cwfHjx9Wqu8rOzg5r165FcHAwLl26xHUcjTZu3DgUFRVh7ty52LJlCwwMDDBz5kzI5XKuoxFC3pDGdHVmZmbCzs4OEyZMwOLFi7mO80569OiBmJgYPH78mLrZVIBcLsfPP/+MZcuWQUtLC7NmzcKUKVNoKyRCVJxGFD65XI5mzZrByMgICQkJXMd5ZzKZDGKxGI6OjoiJieE6DvkvmUyGSZMmYf369dDX10dwcDBGjx7NdSxCyEtoxFfToUOHorCwUKUmqb8LgUCAyMhIxMXFITg4mOs45L8EAgFWrlwJiUSCfv36Yfz48TA3N0dISAjX0QghL9DgC9++ffuwZ88eHDx4EIaGhlzHeW+tW7fGokWL8PPPP+PWrVtcxyH/IhQKsXXrVhQVFcHX1xeBgYGwtrbG4cOHuY5GCPmXBt3VmZubC1tbW3zzzTdYt24d13EUysfHBwkJCcjNzYWOjg7XccgLFBQUYNiwYTh+/DhsbW2xefNmfPzxx1zHIkTjNejCZ2dnBy0tLdy7d4/rKApXWVkJc3NzuLu74+zZs1zHIa+QlZWFgIAAREREwNHREdu3b0enTp24jkWIxmqwXZ0jR45EVlYWoqOjuY5SL3R0dHDu3DmEh4dj1apVXMchr2BjY4Pz588jJSUFhoaG6Ny5M1xdXWknCEI40iAL3/Hjx7Flyxb8+eefMDc35zpOvXFzc8Mvv/yCiRMnIjk5mes45DXs7Oxw8eJF3LhxAzweDy4uLvDw8EBqairX0QjRKA2m8N28eRO2trY4fvw4+vfvj6FDh6Jfv35cx6p3s2fPhpubG7y9vVFdXc11HPIGXFxccP36dVy8eBFPnjyBg4MDunbtiqysLK6jEaIRGkzhu3jxInJyctCrVy/o6Ohg69atXEdSmvDwcDx9+hR9+/blOgp5C506dUJSUhLOnDmD9PR0NGvWDJ9//jkKCgq4jkZIg9ZgCl98fDyqqqrAGINUKkX37t25jqQ0+vr6OHHiBI4ePYpt27ZxHYe8pY8//hgPHjzAwYMHcfPmTVhYWODLL7+ERCLhOhohDVKDKXzPF53W1taGUCjUuKufLl26YMqUKRg1ahQyMjK4jkPewRdffIGsrCzs2LEDERERMDY2RlBQEKRSKdfRCGlQ1GY6Q0FpBfZfzcLdXAkkUhlEQgGcxCIMdLOBgQ4Purq60NLSwq+//orvv/8ejRo14joyJ1xcXFBUVITMzExaM1LNrVu3Dj/99BPKysrw3XffYenSpRAIBFzHIkTtqXzhu/mwGGsi7iPyXj4AoEL2/6vgCwV8MABiVoS88J24dHwvmjRpwlFS1VBcXAwrKyt88cUX+PPPP7mOQ96TXC7H4sWLMW/ePFRXV2PixImYP38+fakh5D2o9F9PSFw6Bm+Kw5mkPFTI5LWKHgBI//tYZrUh0PUH/J30DzdBVYihoSEOHTqEsLAwhIWFcR2HvCc+n4+pU6dCIpFg8uTJWLZsGUQiEYKDg2krJELekcpe8YXEpWPB8SSUV735H7eeNh8zezpjqEfz+gumJsaOHYtNmzYhMzMTYrGY6zhEQWQyGX788UesXbsW+vr6+O233zBmzBiuYxGiVlSy8N18WIzBm+JQXvX/89KYrAqFp9dCmn4DcmkpBIaWMPIJgJ6de63X6mlrIWyUB1xsDJWcWvU4OjqiqqoK9+/fp66xBkYqlWLcuHHYsWMHmjRpgqVLlyIgIIDrWISoBZX8NFwTcR9SWe3J2ExeDYGBKcRDfkfTiWEw9B6K/MN/QFacV+s4qawaayPuKzOuyoqOjkZ2djZGjRrFdRSiYEKhEJs3b8Y///yDTz75BEFBQbCyssLBgwe5jkaIylO5wldQWoHIe/n43+tQvo4Qhl5fQ2BoAR6PD337jhA0sUBFbu0ixxgQnpyPwtIKJaZWTWZmZggLC8PWrVtx9OhRruOQetC4cWPs2bMH+fn5cHNzQ//+/dG8eXOcOXOG62iEqCyVK3z7r77Zsk3VZf+gqugRdMya1XmOB2D/NVr+CXg2NywgIAADBgxAUVER13FIPTE2Nsbff/+NrKws2Nvbo3v37nB0dMTFixe5jkaIylG5wnc3V1Ln7s3/xaplKDiyGI3bfgxtk6Z1npfK5LibU1JfEdXO1q1bIRaL4enpyXUUUs+srKxw9uxZpKSkwMTEBJ6enmjXrh1tWkzIv6hc4ZNIZa98njE5Co4uAbQEMP70u1e0U6XoaGqLz+cjJiYGqampmDBhAtdxiBLY2dkhNjYWCQkJ0NLSgqurKzp16oSUlBSuoxHCOZUrfCLhy1emYIyh8PhKVJcVw6zvT+BpvfxYkVC7PuKpLWtra2zbtg2rVq3CuXPnuI5DlKR169a4du0aLl26hJKSEjg6OsLPz492giAaTeUKn5NYBF3Bi2MVnVqDqsKHMB8wG3xt3Ze2IRTw4WRpUF8R1dbXX3+N/v37o3fv3rQAsobp0KED7ty5g7NnzyIzMxPNmjVDz549aScIopFUbh5fQWkFPP84X2ecT/bkMR6t+wbQ0gaPr1XzuPFnY9G4tV+tY3UFfMRO6wqTxi8vjppKLpfDxsYGFhYWuH79OtdxCEeOHDmCMWPGICcnB3379sXWrVshEom4jkWIUqhc4QOAUbuu4ExSXp0pDW+CxwO6t7LA+qHurz9YQ6WlpcHBwQHTpk3DggULuI5DOLR792788MMPKCoqwtChQ7F+/XoIhUKuYxFSr1SuqxMAxvraQyjQev2BLyAUaGGMr72CEzUsLVq0wLp16xAcHEy3u2u4IUOG4PHjx1izZg0OHz4MkUiEsWPHQiZ79U1mhKgzlbziA2itTmXo2bMnoqOjkZubC319fa7jEBWwePFizJ07F1VVVZgwYQKCg4NpuTvS4Khs4QOeF7+7kMqqX9ntyeM9u9Kb2dOJit5bkMlksLS0hIODA2JjY7mOQ1SEXC7HnDlzsGjRIvD5fPz000+YMWMGFUDSYKh04QOAW1nFWBtxH+HJ+eDh2eT0557vx+fnaIYxvva0MPU7SEpKQps2bTBv3jzMnDmT6zhEhchkMkydOhVr1qyBUCjE/PnzMX78eK5jEfLeVL7wPVdYWoH917JwN6cEEmkVREJtOFkaYEB7G7p78z0tX74ckydPxtWrV+Hq6sp1HKJipFIpxo8fj+3bt6NJkyZYsmQJAgMDuY5FyDtTm8JH6pefnx9u3LiBvLw86OjocB2HqKDS0lKMGjUKYWFhMDc3x+rVq9G/f3+uYxHy1qjTngAATp06BQDo0aMHx0mIqmrcuDF2796N/Px8dOrUCV9++SXtBEHUEhU+AgDQ0dHBuXPnEBERgRUrVnAdh6gwY2NjHDp0CI8ePYKDgwO6d++ODz74ADExMVxHI+SNUOEjNdq3b4+5c+di8uTJSEpK4joOUXFisRhnzpxBamoqzM3N4eXlBRcXF9y4cYPraIS8Eo3xkTo8PDzw4MEDZGdnQyB4+ULghPxbYmIiAgICcP36dbi7uyM0NBQODg5cxyKkDrriI3WcP38e5eXl6NOnD9dRiBpp3bo1rl69isuXL6OsrAyOjo7w8fFBZmYm19EIqYUKH6lDX18fJ0+exPHjx7F582au4xA14+7ujsTERISHh+PRo0do3rw5PvvsMzx+/JjraIQAoMJHXsLT0xPTpk3D6NGjkZaWxnUcooZ8fHxw//59HDlyBImJibC0tET//v1RXFzMdTSi4WiMj7xSu3btUFBQgIcPH9KSVeS9hIWF4fvvv0dhYSGGDBmC9evX0xqxhBP0SUZeKSoqCv/88w8GDx7MdRSi5gYNGoS8vDysXbsWR48eRZMmTTB69GhUVlZyHY1oGCp85JVEIhH+/vtv7N+/H3v27OE6DmkARo0ahaKiIvzxxx8ICQmBSCTC1KlTIZe/+U4shLwP6uokb2T8+PHYsGED0tPTYWVlxXUc0kDI5XL8+uuv+OOPP8Dj8TB9+nTMnDmTutVJvaLCR96Yk5MTKioqkJqaSh9MRKFkMhmmTZuG1atXQygUYt68eZgwYQLXsUgDRZ9e5I1FR0cjJycHI0aM4DoKaWAEAgGWLFmCkpISfPXVV/jxxx9hYmKCbdu2cR2NNEBU+MgbMzU1xd69e7F9+3YcOXKE6zikAdLR0cH69evx5MkT9OjRAyNHjoSlpSX279/PdTTSgFBXJ3lrQUFB+PPPP5GVlQVTU1Ou45AGrLi4GEFBQThy5Aisra2xYcMG2kGEvDcqfOStyeVy2NnZQVdXF3fv3uU6DtEAubm5CAwMxJkzZ2Bvb4+tW7eiS5cuXMciaoq6Oslb4/P5iImJwYMHDzB+/Hiu4xANIBaLcerUKaSlpcHCwgLe3t5o27Ytrl27xnU0ooao8JF3YmVlhZ07d2LNmjU4e/Ys13GIhrC1tUVUVBQSExOhq6sLd3d3uLu7Izk5metoRI1Q4SPvbPDgwRgwYAB69+4NiUTCdRyiQZydnXHlyhXEx8dDKpXC2dkZ3t7eyMjI4DoaUQNU+Mh72bNnD4yMjODt7c11FKKB3NzccPv2bURERCAnJwctWrRA9+7daScI8kpU+Mh74fP5iI2NRWJiImbMmMF1HKKhvL29kZKSgqNHjyIpKQmWlpbo27cv7QRBXogKH3lvtra2WLduHf744w/ExMRwHYdosJ49eyIzMxN//vknLl68CFNTUwwdOhRPnz7lOhpRITSdgShMr169EBkZiby8PNpuhqiELVu2YOrUqZBIJBg+fDhWrlwJHR0dAMDly5fh4uICoVD40tcXlFZg/9Us3M2VQCKVQSQUwEkswkA3G5g01lXW2yAKRoWPKIxMJoOVlRVatmyJuLg4ruMQUmP58uWYPXs2KisrMX78eIwdOxYODg4IDAzE5s2b6xx/82Ex1kTcR+S9fABAhez/d44QCvhgAHwdzTDGxx7tmhoq6V0QRaHCRxQqKSkJbdu2xZw5c/Dzzz9zHYeQGnK5HPPnz8fvv/+OyspKMMagq6uL3bt3o0+fPjXHhcSlY8Hxu5DKqvGqT0ceDxAKtDCzpxOGejSv9/xEcajwEYVbsWIFJk2ahPj4eLRv357rOITUkpKSAmdnZ1RXVwN4tj5oamoqbGxs/lv0klBe9eZ7A+pp8zGzpzMVPzVChY/Ui65du+L69evIy8urGVMhRBVMmjQJq1atgp6eHqRSKaqqqiAUCrH973DMuVCM8qrqOq8puxOJ4pg/US3Jh1YjI5h8/gOETdvUPK+nrYWwUR5wsTFU4jsh74oKH6kXlZWVsLCwgKurK8LDw7mOQ0gNiUSC9PR0yGQyVFdXo7S0FGfOnEEMrxUymVGd7s3ytOsoPLESZl9Mg47VB6guLQIACAz+f4F2Hg/o3soC64e6K/OtkHdEhY/Umxs3bsDNzQ1LlizBDz/8wHUcQl6qoLQCnn+cr3UTy3O5u35EI5duMGjX7ZVt6Ar4iJ3Wle72VAM0j4/UG1dXV8ybNw+TJ09GUlIS13EIean9V7Ne+DiTV6Mi5z7kT5/g0fqRyFoTiKLT6yCvqqhzLA/A/msvboeoFip8pF7NnDkTHTt2hLe3N2QyGddxCHmhu7mSF17tVZcVA3IZnibHwGLoH7AMWonKvAd4EhtW51ipTI67OSVKSEveFxU+Uu/OnTuHiooKfPHFF1xHIeSFJNIXfynjaT/rtjRw+w8EjY2hpd8EBh36oDz1ykvaqaq3jERxqPCReqevr49Tp07hxIkT2LhxI9dxCKlDJBS88HEtYWNo/esmlte3o62oSKQeUeEjStG5c2dMnz4dY8aMQVpaGtdxCKnFSSyCruDFH4eN236CkqtHUV1WjGppKUquHIa+fYc6xwkFfDhZGtR3VKIAdFcnUaoPP/wQeXl5yMrKAp9P37uIanjVXZ2sWoaisxtRdicSPIE2Gjl5wcgvCDxB7fmpdFen+qDCR5RKIpHA0tISPXv2xL59+7iOQ0iNUbuu4ExS3iuXKXsZmsenXugrN1EqkUiEI0eO4MCBAwgNDeU6DiE1xvraQyjQeqfXCgVaGONrr+BEpL5Q4SNK9/HHH2PcuHEICgrCo0ePuI5DCACgXVNDzOzpBD3tt/tYfLZWpxMtV6ZGqKuTcMbZ2Rnl5eV48OABjfcRlUG7MzR8VPgIZwoLC2FtbY3Bgwdj+/btXMchpMatrGKsjbiP8OR88PBscvpzz/fj83M0wxhfe7rSU0NU+Ainjhw5gj59+uCvv/6qtScaIaqgsLQC+69l4W5OCSTSKoiE2nCyNMCA9rQDuzqjwkc4N3z4cISGhiIrKwumpm8+WZgQQt4FDawQzm3atAlWVlbw9PTE3r174eTkBKlUynUsQkgDRVd8RCWkpaXB3t4ePB4P2traiI2NxYcffsh1LEJIA0RXfIRzJSUl6NatG/h8Pqqrn+1+nZCQwHEqQkhDRYWPcE5HRweenp4QCATg8XiQSqWIjY3lOhYhpIGirk6iMtLT0/HTTz/hzz//RKNGjVBaWgrg2TqK+69m4W6uBBKpDCKhAE5iEQa60Z11hJC3R4WPqJyoqCj06dMHCzeH4VKpISLv5QNArQWEn8+l8nU0wxgfe7RrashNWEKI2qHCR1TSiuPXsO5iHiqq5bR6BiFEoV68+yIhHAqJS8f6uLxaq2W8DGNAeVU1FhxPAgAqfoSQ16IrPqJSbj4sxuBNcSivqq71eG7odFRkJ4PHf7Z6vpaBCaxHbah1jJ62FsJGedASUoSQV6IrPqJS1kTch1RW/cLnjLt9B4N23V/6WqmsGmsj7tOeaISQV6LpDERlFJRWIPJe/jttBAo86/YMT85HYWmFYoMRQhoUKnxEZey/mvXK54sjduDhiiHI3TUF0oxbLzyGB2D/tVe3QwjRbNTVSVTG3VxJrSkL/2bkFwRtk6bgaWmjLOkCHh/4FZZBK6FtZFnrOKlMjrs5JcqISwhRU3TFR1SGRCp76XO6Vo7g6+qDJ9BG47YfQ9faGeWpV17STlV9RSSENABU+IjKEAnfogOCxwPw4sFAkVBbMYEIIQ0SFT6iMpzEIugK6v5KyqWlKH9wFUxWCSavRmliOCoe3oZei/Z1jhUK+HCyNFBGXEKImqIxPqIyBrjZYNnZe3UeZ/JqFF8IQVVRFsDjQ9vEBmb9foa2iU3dYwEMaF/3cUIIeY4KH1EZpo114fOBGc4k5dWa0qCl3wSWw5a99vU8HuDnaEYLVxNCXom6OolKGetrD6FA651eKxRoYYyvvYITEUIaGip8RKW0a2qImT2doKf9dr+aetp8zOzpRMuVEUJei7o6icp5vtD0guN3IZVV0+4MhBCFokWqicq6lVWMtRH3EZ6cDx5Qa7eG5/vx+TmaYYyvPV3pEULeGBU+ovIKSyuw/1oW7uaUQCKtgkioDSdLAwxoTzuwE0LeHhU+QgghGoVubiGEEKJRqPARQgjRKFT4CCGEaBQqfIQQQjQKFT5CCCEahQofIYQQjUKFjxBCiEahwkcIIUSjUOEjhBCiUajwEUII0ShU+AghhGgUKnyEEEI0ChU+QgghGoUKHyGEEI1ChY8QQohGocJHCCFEo1DhI4QQolGo8BFCCNEoVPgIIYRoFCp8hBBCNAoVPkIIIRrl/wBK7FIo2iSgcAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from causallearn.search.ScoreBased.GES import ges\n",
    "\n",
    "#X = data.iloc[:,1:]\n",
    "X = X - np.tile(np.mean(X, axis=0), (X.shape[0], 1))\n",
    "X = np.dot(X, np.diag(1 / np.std(X, axis=0)))\n",
    "maxP = 5  # maximum number of parents when searching the graph\n",
    "parameters = {'kfold': 10, 'lambda': 0.01}\n",
    "#X = X[:50, :]\n",
    "Record = ges(X, 'local_score_CV_general', maxP=maxP, parameters=parameters)\n",
    "adj = Record['G'].graph\n",
    "\n",
    "# Change the adj to graph \n",
    "G = nx.DiGraph()\n",
    "for i in range(len(adj)):\n",
    "    for j in range(len(adj)):\n",
    "        if adj[i,j] == -1:\n",
    "            G.add_edge(i,j)\n",
    "        if adj[i,j] == 1:\n",
    "            G.add_edge(j,i)\n",
    "nodes = sorted(G.nodes())\n",
    "print(nodes)\n",
    "adj = np.asarray(nx.to_numpy_matrix(G, nodelist=nodes))\n",
    "print(adj)\n",
    "pos=nx.circular_layout(G)\n",
    "nx.draw(G, pos=pos, with_labels=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "fb9e826e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.24115393 0.0858943  0.09394367 0.16242095 0.23297099 0.09180808\n",
      " 0.09180808]\n",
      "[(0, 0.2411539317142216), (4, 0.23297098637094135), (3, 0.16242095098116283), (2, 0.09394366665580198), (5, 0.09180808281072622), (6, 0.09180808281072622), (1, 0.08589429865641973)]\n"
     ]
    }
   ],
   "source": [
    "# PageRank\n",
    "from sknetwork.ranking import PageRank\n",
    "pagerank = PageRank()\n",
    "scores = pagerank.fit_transform(adj.T)\n",
    "print(scores)\n",
    "#cmap = plt.cm.coolwarm\n",
    "\n",
    "score_dict = {}\n",
    "for i,s in enumerate(scores):\n",
    "    score_dict[i] = s\n",
    "print(sorted(score_dict.items(), key=lambda item:item[1], reverse=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "347e5beb",
   "metadata": {},
   "source": [
    "## LINGAM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "fcfcd018",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LiNGAM result\n",
      "[3, 0, 4, 2, 5, 6, 1]\n",
      "[[ 0.         -0.32019563  0.          0.          0.53017543  0.\n",
      "   0.        ]\n",
      " [ 0.          0.          0.          0.          0.          0.\n",
      "   0.        ]\n",
      " [ 0.          0.          0.          0.          0.         -0.22274307\n",
      "   0.        ]\n",
      " [ 0.99556686  0.         -0.92492362  0.          0.45748189  0.\n",
      "   0.84946968]\n",
      " [ 0.          0.          0.          0.          0.          0.77024047\n",
      "   0.        ]\n",
      " [ 0.         -0.21134291  0.          0.          0.          0.\n",
      "   0.        ]\n",
      " [ 0.         -0.29016697  0.          0.          0.          0.\n",
      "   0.        ]]\n"
     ]
    }
   ],
   "source": [
    "from causallearn.search.FCMBased import lingam\n",
    "model = lingam.ICALiNGAM()\n",
    "model.fit(X)\n",
    "\n",
    "print('LiNGAM result')\n",
    "print(model.causal_order_) # the later virable is unable to cause the former virable\n",
    "#print(model.adjacency_matrix_)\n",
    "\n",
    "# Acutal matrix: row points to col \n",
    "adj = model.adjacency_matrix_.T \n",
    "# For PageRank, should adj.T\n",
    "print(adj)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a0154d34",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('cpu-hog_front-end_lingam_adj.pkl', 'wb') as f:\n",
    "    pkl.dump(adj, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0922c115",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "org_G = nx.from_numpy_matrix(adj, parallel_edges=True, create_using=nx.DiGraph)\n",
    "pos=nx.circular_layout(org_G)\n",
    "nx.draw(org_G, pos=pos, with_labels=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "50c77eff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.12041905 0.03531586 0.0504132  0.60550303 0.08752213 0.04804044\n",
      " 0.05278629]\n",
      "[(3, 0.6055030315737471), (0, 0.12041904566781331), (4, 0.08752212796403312), (6, 0.05278629173521759), (2, 0.05041320400105439), (5, 0.04804043746356521), (1, 0.035315861594569356)]\n"
     ]
    }
   ],
   "source": [
    "# PageRank\n",
    "from sknetwork.ranking import PageRank\n",
    "pagerank = PageRank()\n",
    "scores = pagerank.fit_transform(np.abs(adj.T))\n",
    "print(scores)\n",
    "#cmap = plt.cm.coolwarm\n",
    "\n",
    "score_dict = {}\n",
    "for i,s in enumerate(scores):\n",
    "    score_dict[i] = s\n",
    "print(sorted(score_dict.items(), key=lambda item:item[1], reverse=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c659334",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}