diff --git a/.ipynb_checkpoints/Challenge_cleaning-checkpoint.ipynb b/.ipynb_checkpoints/Challenge_cleaning-checkpoint.ipynb
deleted file mode 100644
index 700df89..0000000
--- a/.ipynb_checkpoints/Challenge_cleaning-checkpoint.ipynb
+++ /dev/null
@@ -1,634 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "4287b380-5359-49c7-ab95-ad346a3ad17a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers Flows : ['projet-bdc-data/carmignac/Flows ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/Flows ENSAE V2 -20251105.csv']\n",
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Import des données\n",
-    "\n",
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers FLOWS\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "flows_files = [f for f in all_files if \"Flows\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers Flows :\", flows_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "flows_data = {}\n",
-    "for file_path in flows_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        flows_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "dg = flows_data['Flows ENSAE V2 -20251105.csv']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "0b66aee0-b726-4a57-9461-6a4550a625a8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - AUM</th>\n",
-       "      <th>Value - AUM CCY</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>24648.6666</td>\n",
-       "      <td>24648.6666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22413.0553</td>\n",
-       "      <td>22413.0553</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-12-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22051.2406</td>\n",
-       "      <td>22051.2406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>21626.1173</td>\n",
-       "      <td>21626.1173</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22489.4502</td>\n",
-       "      <td>22489.4502</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200000647                     France   \n",
-       "1              200000647                     France   \n",
-       "2              200000647                     France   \n",
-       "3              200000647                     France   \n",
-       "4              200000647                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France          Diversified         Patrimoine   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France          Diversified         Patrimoine   \n",
-       "3                     France          Diversified         Patrimoine   \n",
-       "4                     France          Diversified         Patrimoine   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
-       "0                    FCP                   NO  Carmignac Patrimoine   \n",
-       "1                    FCP                   NO  Carmignac Patrimoine   \n",
-       "2                    FCP                   NO  Carmignac Patrimoine   \n",
-       "3                    FCP                   NO  Carmignac Patrimoine   \n",
-       "4                    FCP                   NO  Carmignac Patrimoine   \n",
-       "\n",
-       "  Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
-       "0                         A                           EUR   FR0010135103   \n",
-       "1                         A                           EUR   FR0010135103   \n",
-       "2                         A                           EUR   FR0010135103   \n",
-       "3                         A                           EUR   FR0010135103   \n",
-       "4                         A                           EUR   FR0010135103   \n",
-       "\n",
-       "  Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
-       "0          2015-03-31          35.368       24648.6666     24648.6666  \n",
-       "1          2015-11-30          35.368       22413.0553     22413.0553  \n",
-       "2          2015-12-31          35.368       22051.2406     22051.2406  \n",
-       "3          2016-03-31          35.368       21626.1173     21626.1173  \n",
-       "4          2016-11-30          35.368       22489.4502     22489.4502  "
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "a5509e6e-ff10-4388-9fee-5cd49d01b60a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - Subscription</th>\n",
-       "      <th>Quantity - Redemption</th>\n",
-       "      <th>Quantity - NetFlows</th>\n",
-       "      <th>Value Ccy - Subscription</th>\n",
-       "      <th>Value Ccy - Redemption</th>\n",
-       "      <th>Value Ccy - NetFlows</th>\n",
-       "      <th>Value € - Subscription</th>\n",
-       "      <th>Value € - Redemption</th>\n",
-       "      <th>Value € - NetFlows</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-11-05</td>\n",
-       "      <td>1636.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1636.000</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2015-03-09</td>\n",
-       "      <td>144.69</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>144.690</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2016-10-26</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2018-10-18</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-04-08</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 24 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200127202                     France   \n",
-       "1                 406533                     France   \n",
-       "2                 406533                     France   \n",
-       "3                 406533                     France   \n",
-       "4                 406533                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France               Equity     Investissement   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France               Equity     Investissement   \n",
-       "3                     France               Equity     Investissement   \n",
-       "4                     France               Equity     Investissement   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?  ... Centralisation Date  \\\n",
-       "0                  SICAV                   NO  ...          2020-11-05   \n",
-       "1                    FCP                   NO  ...          2015-03-09   \n",
-       "2                    FCP                   NO  ...          2016-10-26   \n",
-       "3                    FCP                   NO  ...          2018-10-18   \n",
-       "4                    FCP                   NO  ...          2019-04-08   \n",
-       "\n",
-       "  Quantity - Subscription Quantity - Redemption Quantity - NetFlows  \\\n",
-       "0                 1636.00                 0.000            1636.000   \n",
-       "1                  144.69                 0.000             144.690   \n",
-       "2                    0.00                -8.321              -8.321   \n",
-       "3                    0.00               -22.083             -22.083   \n",
-       "4                    0.00              -465.992            -465.992   \n",
-       "\n",
-       "  Value Ccy - Subscription  Value Ccy - Redemption  Value Ccy - NetFlows  \\\n",
-       "0                280983.00                    0.00             280983.00   \n",
-       "1                 99985.13                    0.00              99985.13   \n",
-       "2                     0.00                -9384.76              -9384.76   \n",
-       "3                     0.00               -25227.40             -25227.40   \n",
-       "4                     0.00              -563775.76            -563775.76   \n",
-       "\n",
-       "   Value € - Subscription  Value € - Redemption  Value € - NetFlows  \n",
-       "0               280983.00                  0.00           280983.00  \n",
-       "1                99985.13                  0.00            99985.13  \n",
-       "2                    0.00              -9384.76            -9384.76  \n",
-       "3                    0.00             -25227.40           -25227.40  \n",
-       "4                    0.00            -563775.76          -563775.76  \n",
-       "\n",
-       "[5 rows x 24 columns]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dg.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "d4c6dc0e-a5bc-495c-a54b-96dd238f46e3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Filtrer les comptes techniques\n",
-    "\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "\n",
-    "df['Centralisation Date'] = pd.to_datetime(df['Centralisation Date'])\n",
-    "dg['Centralisation Date'] = pd.to_datetime(dg['Centralisation Date'])\n",
-    "df = df[~df['Registrar Account - ID'].isin(['Off Distribution','Private Clients'])]\n",
-    "dg = dg[~dg['Registrar Account - ID'].isin(['Off Distribution','Private Clients'])]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "a19cbae9-636f-4dc7-882c-6857daca8a11",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(4880297, 18)"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "81845380-2c3f-4bf5-81d4-4a89a3732df3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(4836569, 18)"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "c7abd838-cb2d-41dc-a280-6622b0937672",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Date de référence\n",
-    "\n",
-    "ref_date = pd.Timestamp('2025-10-31')\n",
-    "\n",
-    "df_ref = df[df['Centralisation Date'] == ref_date]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "688f3641-67ff-49a4-b6b0-65b64b110ff3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(24736, 18)"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_ref.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1efb0610-4eaf-427c-a15c-d926d423db76",
-   "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": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/.ipynb_checkpoints/Clustering-checkpoint.ipynb b/.ipynb_checkpoints/Clustering-checkpoint.ipynb
deleted file mode 100644
index 8028786..0000000
--- a/.ipynb_checkpoints/Clustering-checkpoint.ipynb
+++ /dev/null
@@ -1,74 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7aa09644-4d17-4a7a-841e-3bfcfb8a8901",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Import des données\n",
-    "\n",
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers FLOWS\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "flows_files = [f for f in all_files if \"Flows\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers Flows :\", flows_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "flows_data = {}\n",
-    "for file_path in flows_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        flows_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "dg = flows_data['Flows ENSAE V2 -20251105.csv']"
-   ]
-  }
- ],
- "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": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/.ipynb_checkpoints/Clustering2-checkpoint.ipynb b/.ipynb_checkpoints/Clustering2-checkpoint.ipynb
deleted file mode 100644
index 6203cb3..0000000
--- a/.ipynb_checkpoints/Clustering2-checkpoint.ipynb
+++ /dev/null
@@ -1,33 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "beb29e50-e6ef-4cf9-a355-45fbd2f4f08d",
-   "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": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/.ipynb_checkpoints/Essai-checkpoint.ipynb b/.ipynb_checkpoints/Essai-checkpoint.ipynb
deleted file mode 100644
index 825f0e2..0000000
--- a/.ipynb_checkpoints/Essai-checkpoint.ipynb
+++ /dev/null
@@ -1,281 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "dad4ac5b-b66f-4eab-acbf-51dc708616ef",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    }
-   ],
-   "source": [
-    "import os\n",
-    "import s3fs\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "68903172-d4f8-4c6e-96f8-578c5b1afe23",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - AUM</th>\n",
-       "      <th>Value - AUM CCY</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>24648.6666</td>\n",
-       "      <td>24648.6666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22413.0553</td>\n",
-       "      <td>22413.0553</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-12-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22051.2406</td>\n",
-       "      <td>22051.2406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>21626.1173</td>\n",
-       "      <td>21626.1173</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22489.4502</td>\n",
-       "      <td>22489.4502</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200000647                     France   \n",
-       "1              200000647                     France   \n",
-       "2              200000647                     France   \n",
-       "3              200000647                     France   \n",
-       "4              200000647                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France          Diversified         Patrimoine   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France          Diversified         Patrimoine   \n",
-       "3                     France          Diversified         Patrimoine   \n",
-       "4                     France          Diversified         Patrimoine   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
-       "0                    FCP                   NO  Carmignac Patrimoine   \n",
-       "1                    FCP                   NO  Carmignac Patrimoine   \n",
-       "2                    FCP                   NO  Carmignac Patrimoine   \n",
-       "3                    FCP                   NO  Carmignac Patrimoine   \n",
-       "4                    FCP                   NO  Carmignac Patrimoine   \n",
-       "\n",
-       "  Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
-       "0                         A                           EUR   FR0010135103   \n",
-       "1                         A                           EUR   FR0010135103   \n",
-       "2                         A                           EUR   FR0010135103   \n",
-       "3                         A                           EUR   FR0010135103   \n",
-       "4                         A                           EUR   FR0010135103   \n",
-       "\n",
-       "  Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
-       "0          2015-03-31          35.368       24648.6666     24648.6666  \n",
-       "1          2015-11-30          35.368       22413.0553     22413.0553  \n",
-       "2          2015-12-31          35.368       22051.2406     22051.2406  \n",
-       "3          2016-03-31          35.368       21626.1173     21626.1173  \n",
-       "4          2016-11-30          35.368       22489.4502     22489.4502  "
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "aum_data['AUM ENSAE V2 -20251105.csv'].head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "22042f8f-1492-44a4-a492-5074ef1dc9f6",
-   "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": "3.13.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/.ipynb_checkpoints/Migration-checkpoint.ipynb b/.ipynb_checkpoints/Migration-checkpoint.ipynb
deleted file mode 100644
index 363fcab..0000000
--- a/.ipynb_checkpoints/Migration-checkpoint.ipynb
+++ /dev/null
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/.ipynb_checkpoints/Stats_descriptives-checkpoint.ipynb b/.ipynb_checkpoints/Stats_descriptives-checkpoint.ipynb
deleted file mode 100644
index 962f979..0000000
--- a/.ipynb_checkpoints/Stats_descriptives-checkpoint.ipynb
+++ /dev/null
@@ -1,33 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5e49fa70-05e3-4d9a-82db-e36ab3c993c7",
-   "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": "3.13.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/.ipynb_checkpoints/clustering_repaired-checkpoint.ipynb b/.ipynb_checkpoints/clustering_repaired-checkpoint.ipynb
deleted file mode 100644
index f6560fc..0000000
--- a/.ipynb_checkpoints/clustering_repaired-checkpoint.ipynb
+++ /dev/null
@@ -1,4582 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 290,
-   "id": "2fee3a54-847b-432f-bda5-3d6a9aa9020c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import warnings\n",
-    "warnings.filterwarnings(\"ignore\")\n",
-    "\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "\n",
-    "from sklearn.preprocessing import StandardScaler, RobustScaler\n",
-    "from sklearn.cluster import KMeans\n",
-    "from sklearn.mixture import GaussianMixture\n",
-    "from sklearn.metrics import silhouette_score, davies_bouldin_score, pairwise_distances\n",
-    "from sklearn.linear_model import LinearRegression\n",
-    "from sklearn.neighbors import kneighbors_graph\n",
-    "from sklearn.manifold import MDS\n",
-    "\n",
-    "sns.set_style(\"whitegrid\")\n",
-    "pd.set_option(\"display.max_columns\", 200)\n",
-    "pd.set_option(\"display.max_rows\", 200)\n",
-    "\n",
-    "EPS = 1e-9\n",
-    "RANDOM_STATE = 42"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 291,
-   "id": "1f95b6b6-03b8-4f23-b236-5c71beedea04",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "PATH_aum = \"s3://projet-bdc-carmignac-g3/paco/AUM_repaired.csv\"\n",
-    "df_aum_repaired = pd.read_csv(PATH_aum, sep=\",\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 292,
-   "id": "cab4432f-d7e5-4c18-ab86-19fe6759eed6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers Flows : ['projet-bdc-data/carmignac/Flows ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/Flows ENSAE V2 -20251105.csv']\n",
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - AUM</th>\n",
-       "      <th>Value - AUM CCY</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>24648.6666</td>\n",
-       "      <td>24648.6666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22413.0553</td>\n",
-       "      <td>22413.0553</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-12-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22051.2406</td>\n",
-       "      <td>22051.2406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>21626.1173</td>\n",
-       "      <td>21626.1173</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22489.4502</td>\n",
-       "      <td>22489.4502</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200000647                     France   \n",
-       "1              200000647                     France   \n",
-       "2              200000647                     France   \n",
-       "3              200000647                     France   \n",
-       "4              200000647                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France          Diversified         Patrimoine   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France          Diversified         Patrimoine   \n",
-       "3                     France          Diversified         Patrimoine   \n",
-       "4                     France          Diversified         Patrimoine   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
-       "0                    FCP                   NO  Carmignac Patrimoine   \n",
-       "1                    FCP                   NO  Carmignac Patrimoine   \n",
-       "2                    FCP                   NO  Carmignac Patrimoine   \n",
-       "3                    FCP                   NO  Carmignac Patrimoine   \n",
-       "4                    FCP                   NO  Carmignac Patrimoine   \n",
-       "\n",
-       "  Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
-       "0                         A                           EUR   FR0010135103   \n",
-       "1                         A                           EUR   FR0010135103   \n",
-       "2                         A                           EUR   FR0010135103   \n",
-       "3                         A                           EUR   FR0010135103   \n",
-       "4                         A                           EUR   FR0010135103   \n",
-       "\n",
-       "  Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
-       "0          2015-03-31          35.368       24648.6666     24648.6666  \n",
-       "1          2015-11-30          35.368       22413.0553     22413.0553  \n",
-       "2          2015-12-31          35.368       22051.2406     22051.2406  \n",
-       "3          2016-03-31          35.368       21626.1173     21626.1173  \n",
-       "4          2016-11-30          35.368       22489.4502     22489.4502  "
-      ]
-     },
-     "execution_count": 292,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Import des données\n",
-    "\n",
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers FLOWS\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "flows_files = [f for f in all_files if \"Flows\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers Flows :\", flows_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "flows_data = {}\n",
-    "for file_path in flows_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        flows_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "dg = flows_data['Flows ENSAE V2 -20251105.csv']\n",
-    "\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 293,
-   "id": "232e399b-64dc-4943-9c15-793a268ee896",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - Subscription</th>\n",
-       "      <th>Quantity - Redemption</th>\n",
-       "      <th>Quantity - NetFlows</th>\n",
-       "      <th>Value Ccy - Subscription</th>\n",
-       "      <th>Value Ccy - Redemption</th>\n",
-       "      <th>Value Ccy - NetFlows</th>\n",
-       "      <th>Value € - Subscription</th>\n",
-       "      <th>Value € - Redemption</th>\n",
-       "      <th>Value € - NetFlows</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Portfolio Investissement</td>\n",
-       "      <td>F</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>LU0992625839</td>\n",
-       "      <td>2020-11-05</td>\n",
-       "      <td>1636.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1636.000</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-09</td>\n",
-       "      <td>144.69</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>144.690</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Investissement</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010148981</td>\n",
-       "      <td>2016-10-26</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Investissement</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010148981</td>\n",
-       "      <td>2018-10-18</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Investissement</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010148981</td>\n",
-       "      <td>2019-04-08</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200127202                     France   \n",
-       "1                 406533                     France   \n",
-       "2                 406533                     France   \n",
-       "3                 406533                     France   \n",
-       "4                 406533                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France               Equity     Investissement   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France               Equity     Investissement   \n",
-       "3                     France               Equity     Investissement   \n",
-       "4                     France               Equity     Investissement   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?  \\\n",
-       "0                  SICAV                   NO   \n",
-       "1                    FCP                   NO   \n",
-       "2                    FCP                   NO   \n",
-       "3                    FCP                   NO   \n",
-       "4                    FCP                   NO   \n",
-       "\n",
-       "                       Product - Fund Product - Shareclass Type  \\\n",
-       "0  Carmignac Portfolio Investissement                         F   \n",
-       "1                Carmignac Patrimoine                         A   \n",
-       "2            Carmignac Investissement                         A   \n",
-       "3            Carmignac Investissement                         A   \n",
-       "4            Carmignac Investissement                         A   \n",
-       "\n",
-       "  Product - Shareclass Currency Product - Isin Centralisation Date  \\\n",
-       "0                           EUR   LU0992625839          2020-11-05   \n",
-       "1                           EUR   FR0010135103          2015-03-09   \n",
-       "2                           EUR   FR0010148981          2016-10-26   \n",
-       "3                           EUR   FR0010148981          2018-10-18   \n",
-       "4                           EUR   FR0010148981          2019-04-08   \n",
-       "\n",
-       "   Quantity - Subscription  Quantity - Redemption  Quantity - NetFlows  \\\n",
-       "0                  1636.00                  0.000             1636.000   \n",
-       "1                   144.69                  0.000              144.690   \n",
-       "2                     0.00                 -8.321               -8.321   \n",
-       "3                     0.00                -22.083              -22.083   \n",
-       "4                     0.00               -465.992             -465.992   \n",
-       "\n",
-       "   Value Ccy - Subscription  Value Ccy - Redemption  Value Ccy - NetFlows  \\\n",
-       "0                 280983.00                    0.00             280983.00   \n",
-       "1                  99985.13                    0.00              99985.13   \n",
-       "2                      0.00                -9384.76              -9384.76   \n",
-       "3                      0.00               -25227.40             -25227.40   \n",
-       "4                      0.00              -563775.76            -563775.76   \n",
-       "\n",
-       "   Value € - Subscription  Value € - Redemption  Value € - NetFlows  \n",
-       "0               280983.00                  0.00           280983.00  \n",
-       "1                99985.13                  0.00            99985.13  \n",
-       "2                    0.00              -9384.76            -9384.76  \n",
-       "3                    0.00             -25227.40           -25227.40  \n",
-       "4                    0.00            -563775.76          -563775.76  "
-      ]
-     },
-     "execution_count": 293,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dg.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 294,
-   "id": "e19e970c-d1dc-4608-9f6f-73dd3e282ba6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Merge\n",
-    "\n",
-    "# 1️Identifier les IDs présents dans df_aum_repaired\n",
-    "ids_repaired = df_aum_repaired[\"Registrar Account - ID\"].unique()\n",
-    "\n",
-    "# 2️Sélectionner dans df uniquement les IDs qui ne sont pas dans df_aum_repaired\n",
-    "df_only = df[~df[\"Registrar Account - ID\"].isin(ids_repaired)]\n",
-    "\n",
-    "# 3️Concaténer les deux DataFrames\n",
-    "df_merged = pd.concat([df_aum_repaired, df_only], ignore_index=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 295,
-   "id": "79c732d4-8d4d-4f7d-9a46-2e89cf2b213d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Filtrer les comptes techniques\n",
-    "\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "\n",
-    "df['Centralisation Date'] = pd.to_datetime(df['Centralisation Date'])\n",
-    "df_aum_repaired['Centralisation Date'] = pd.to_datetime(df_aum_repaired['Centralisation Date'])\n",
-    "dg['Centralisation Date'] = pd.to_datetime(dg['Centralisation Date'])\n",
-    "df = df[~df['Registrar Account - ID'].isin(['Off Distribution','Private Clients', 'Private Client'])]\n",
-    "dg = dg[~dg['Registrar Account - ID'].isin(['Off Distribution','Private Clients','Private Client'])]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 296,
-   "id": "f7f7242c-051e-4d7d-9a76-b46523089e49",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Date de référence et sélection des 400+ principaux codes\n",
-    "\n",
-    "ref_date = pd.Timestamp('2025-10-31')\n",
-    "\n",
-    "df_ref = df[df['Centralisation Date'] == ref_date]\n",
-    "\n",
-    "aum_account = (\n",
-    "    df_ref\n",
-    "    .groupby('Registrar Account - ID')['Value - AUM €']\n",
-    "    .sum()\n",
-    "    .reset_index()\n",
-    "    .sort_values(by='Value - AUM €', ascending=False)\n",
-    ")\n",
-    "aum_account = aum_account[aum_account['Value - AUM €'] > 5_000_000]\n",
-    "selected_accounts = aum_account['Registrar Account - ID']\n",
-    "\n",
-    "df_aum = df_merged[df_merged['Registrar Account - ID'].isin(selected_accounts)].copy()\n",
-    "df_flows = dg[dg['Registrar Account - ID'].isin(selected_accounts)].copy()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 297,
-   "id": "91ea0342-607a-420e-af0d-178d063da761",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(31709, 6)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>11819.680</td>\n",
-       "      <td>-1524.010</td>\n",
-       "      <td>15230.010</td>\n",
-       "      <td>32</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>5705.000</td>\n",
-       "      <td>7247.100</td>\n",
-       "      <td>18571.880</td>\n",
-       "      <td>38</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>70038.905</td>\n",
-       "      <td>3655.380</td>\n",
-       "      <td>9754.040</td>\n",
-       "      <td>47</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>70324.489</td>\n",
-       "      <td>-218.394</td>\n",
-       "      <td>12840.950</td>\n",
-       "      <td>39</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>75567.276</td>\n",
-       "      <td>-4782.849</td>\n",
-       "      <td>6332.849</td>\n",
-       "      <td>24</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID      month    aum_qty  net_flow_qty  gross_flow_qty  \\\n",
-       "0                  18872 2015-01-31  11819.680     -1524.010       15230.010   \n",
-       "1                  18872 2015-02-28   5705.000      7247.100       18571.880   \n",
-       "2                  18872 2015-03-31  70038.905      3655.380        9754.040   \n",
-       "3                  18872 2015-04-30  70324.489      -218.394       12840.950   \n",
-       "4                  18872 2015-05-31  75567.276     -4782.849        6332.849   \n",
-       "\n",
-       "   n_tx  \n",
-       "0    32  \n",
-       "1    38  \n",
-       "2    47  \n",
-       "3    39  \n",
-       "4    24  "
-      ]
-     },
-     "execution_count": 297,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Variables par mois\n",
-    "\n",
-    "# Parse dates\n",
-    "df_flows[\"Centralisation Date\"] = pd.to_datetime(df_flows[\"Centralisation Date\"], errors=\"coerce\")\n",
-    "df_aum[\"Centralisation Date\"]   = pd.to_datetime(df_aum[\"Centralisation Date\"], errors=\"coerce\")\n",
-    "\n",
-    "ID_COL   = \"Registrar Account - ID\"\n",
-    "FLOW_COL = \"Quantity - NetFlows\"\n",
-    "AUM_COL  = \"Quantity - AUM\"\n",
-    "\n",
-    "# Month key\n",
-    "df_flows[\"month\"] = df_flows[\"Centralisation Date\"].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_aum[\"month\"]   = df_aum[\"Centralisation Date\"].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "# Flows sont journaliers, AUM est mensuel → il faut une granularité commune.\n",
-    "\n",
-    "# 1) Monthly aggregation for FLOWS : je fais mon etude mensuel parce que aum valeur mensuel \n",
-    "\n",
-    "ID_COL   = \"Registrar Account - ID\"\n",
-    "FLOW_COL = \"Quantity - NetFlows\"\n",
-    "AUM_COL  = \"Quantity - AUM\"\n",
-    "\n",
-    "df_flows_m = (\n",
-    "    df_flows\n",
-    "    .dropna(subset=[ID_COL, \"month\", FLOW_COL])\n",
-    "    .assign(gross_flow_qty=lambda x: x[FLOW_COL].abs())  # absolute quantity moved\n",
-    "    .groupby([ID_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        net_flow_qty=(FLOW_COL, \"sum\"),              # net quantity change over the month\n",
-    "        gross_flow_qty=(\"gross_flow_qty\", \"sum\"),    # total traded quantity (activity intensity)\n",
-    "        n_tx=(FLOW_COL, \"size\"),                     # number of transactions\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "# 2) Monthly aggregation for AUM (client-month holdings) ---\n",
-    "df_aum_m = (\n",
-    "    df_aum\n",
-    "    .dropna(subset=[ID_COL, \"month\", AUM_COL])\n",
-    "    .groupby([ID_COL, \"month\"], as_index=False)\n",
-    "    .agg(aum_qty=(AUM_COL, \"sum\"))                   # total held quantity across ISINs\n",
-    ")\n",
-    "\n",
-    "df_month0 = df_aum_m.merge(df_flows_m, on=[ID_COL, \"month\"], how=\"left\")\n",
-    "\n",
-    "# 4) Months without transactions => flows are 0 ---\n",
-    "df_month0[\"net_flow_qty\"]   = df_month0[\"net_flow_qty\"].fillna(0.0)\n",
-    "df_month0[\"gross_flow_qty\"] = df_month0[\"gross_flow_qty\"].fillna(0.0)\n",
-    "df_month0[\"n_tx\"]           = df_month0[\"n_tx\"].fillna(0).astype(int)\n",
-    "\n",
-    "print(df_month0.shape)\n",
-    "df_month0.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 298,
-   "id": "8caa4710-c7d5-4397-9d90-82f756499016",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Ajout de variables\n",
-    "\n",
-    "#external data projet-bdc-data /carmignac /Data Modélisation /Nav\n",
-    "PATH_NAV = \"s3://projet-bdc-data/carmignac/Data Modélisation/Nav/NAV_Bench_data.csv\" #C’est la table de valorisation / performance du produit.\n",
-    "PATH_RATES = \"s3://projet-bdc-data/carmignac/Data Modélisation/market data/esterRates.csv\"\n",
-    "\n",
-    "# optional competitors\n",
-    "PATH_COMP_FLOWS = \"s3://projet-bdc-data/carmignac/Data Modélisation/competitors/daily_estimated_flows.csv\"\n",
-    "PATH_COMP_PERF = \"s3://projet-bdc-data/carmignac/Data Modélisation/competitors/weekly_perf_full.csv\"\n",
-    "PATH_PEERS      = \"s3://projet-bdc-carmignac-g3/peers/CAD_peers.csv\"\n",
-    "\n",
-    "df_nav = pd.read_csv(PATH_NAV, sep=\";\") \n",
-    "# Une base de suivi de performance de fonds dans le temps, \n",
-    "# Price (TF PartPrice) : prix de la part du fond\n",
-    "# AUM Eur (Assets Under Management) : Taille du fonds en euros\n",
-    "\n",
-    "df_rates = pd.read_csv(PATH_RATES,sep=\";\")\n",
-    "# df_rates : évolution dans le temps d’un taux de rendement obligataire (YTM)\n",
-    "\n",
-    "df_comp_flows = pd.read_csv(PATH_COMP_FLOWS,sep=\";\")\n",
-    "# Estimated Fund-level Net Flow (Daily) : Flux nets estimés du fonds\n",
-    "\n",
-    "df_comp_perf = pd.read_csv(PATH_COMP_PERF,sep=\";\")\n",
-    "# perfPeriod : Horizon de performance\n",
-    "# return : Performance du fonds sur la période donnée\n",
-    "# percentile : Position du fonds par rapport à ses pairs\n",
-    "# 0 → top performer\n",
-    "# 100 → mauvais performer\n",
-    "\n",
-    "df_peers = pd.read_csv(PATH_PEERS,sep=\"|\")\n",
-    "# Global Broad Category Group : grande classe d’actifs\n",
-    "# Global Category : catégorie plus précise et Morningstar Category\n",
-    "# Index Fund : fonds indiciel (passif)\n",
-    "# Enhanced Index → quasi-passif (légère surperformance recherchée)\n",
-    "# Inception Date → date de création de la part\n",
-    "# Inception Date of Fund's Oldest Share Class → âge réel du fonds\n",
-    "# Domicile : pays de domiciliation du fonds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 299,
-   "id": "fe081e43-092b-4429-813a-67417e39fd07",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ID_COL = \"Registrar Account - ID\"\n",
-    "ISIN_COL = \"Product - Isin\"\n",
-    "\n",
-    "FLOW_DATE_COL = \"Centralisation Date\"\n",
-    "AUM_DATE_COL = \"Centralisation Date\"\n",
-    "\n",
-    "FLOW_QTY_COL = \"Quantity - NetFlows\"\n",
-    "FLOW_SUB_COL = \"Quantity - Subscription\"\n",
-    "FLOW_RED_COL = \"Quantity - Redemption\"\n",
-    "\n",
-    "AUM_QTY_COL = \"Quantity - AUM\"\n",
-    "AUM_VAL_COL = \"Value - AUM €\"\n",
-    "\n",
-    "REGION_COL = \"Registrar Account - Region\"\n",
-    "COUNTRY_COL = \"RegistrarAccount - Country\"\n",
-    "\n",
-    "NAV_DATE_COL = \"Dat\"\n",
-    "NAV_ISIN_COL = \"Isin\"\n",
-    "NAV_PRICE_COL = \"Price (TF PartPrice)\"\n",
-    "NAV_BENCH_COL = \"PriceBench\"\n",
-    "\n",
-    "RATE_DATE_COL = \"Date\"\n",
-    "RATE_VAL_COL = \"Yld to Maturity\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 300,
-   "id": "b2a1cdce-1b1c-45d9-9c74-93f826bd65fd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for df, date_col in [\n",
-    "    (df_flows, FLOW_DATE_COL),\n",
-    "    (df_aum, AUM_DATE_COL),\n",
-    "    (df_nav, NAV_DATE_COL),\n",
-    "    (df_rates, RATE_DATE_COL),\n",
-    "]:\n",
-    "    df[date_col] = pd.to_datetime(df[date_col], errors=\"coerce\")\n",
-    "\n",
-    "df_flows[\"month\"] = df_flows[FLOW_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_aum[\"month\"] = df_aum[AUM_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_nav[\"month\"] = df_nav[NAV_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_rates[\"month\"] = df_rates[RATE_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "\n",
-    "for col in [FLOW_QTY_COL, FLOW_SUB_COL, FLOW_RED_COL]:\n",
-    "    df_flows[col] = pd.to_numeric(df_flows[col], errors=\"coerce\")\n",
-    "\n",
-    "for col in [AUM_QTY_COL, AUM_VAL_COL]:\n",
-    "    df_aum[col] = pd.to_numeric(df_aum[col], errors=\"coerce\")\n",
-    "\n",
-    "for col in [NAV_PRICE_COL, NAV_BENCH_COL]:\n",
-    "    df_nav[col] = pd.to_numeric(df_nav[col], errors=\"coerce\")\n",
-    "\n",
-    "df_rates[RATE_VAL_COL] = pd.to_numeric(df_rates[RATE_VAL_COL], errors=\"coerce\")\n",
-    "\n",
-    "for df, col in [(df_flows, ISIN_COL), (df_aum, ISIN_COL)]:\n",
-    "    df[col] = df[col].astype(str).str.strip()\n",
-    "\n",
-    "df_nav[NAV_ISIN_COL] = df_nav[NAV_ISIN_COL].astype(str).str.strip()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 301,
-   "id": "e10eb2ef-04cd-4186-b188-72d760b4d778",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(492920, 18)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>aum_val</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>sub_qty</th>\n",
-       "      <th>red_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "      <th>region_flow</th>\n",
-       "      <th>country_flow</th>\n",
-       "      <th>active_rel_month</th>\n",
-       "      <th>holding_rel_month</th>\n",
-       "      <th>flow_to_aum_rel</th>\n",
-       "      <th>turnover_rel</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>673.990</td>\n",
-       "      <td>956.01</td>\n",
-       "      <td>859.990</td>\n",
-       "      <td>-186.000</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6.739900e+11</td>\n",
-       "      <td>9.560100e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>988.000</td>\n",
-       "      <td>1712.00</td>\n",
-       "      <td>1350.000</td>\n",
-       "      <td>-362.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.880000e+11</td>\n",
-       "      <td>1.712000e+12</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>9.710</td>\n",
-       "      <td>1447.71</td>\n",
-       "      <td>785.710</td>\n",
-       "      <td>-776.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.710000e+09</td>\n",
-       "      <td>1.447710e+12</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>50219.393</td>\n",
-       "      <td>3.452433e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>-123.234</td>\n",
-       "      <td>1708.19</td>\n",
-       "      <td>853.478</td>\n",
-       "      <td>-976.712</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-2.453913e-03</td>\n",
-       "      <td>3.401455e-02</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>53685.393</td>\n",
-       "      <td>3.699729e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>121.000</td>\n",
-       "      <td>529.00</td>\n",
-       "      <td>325.000</td>\n",
-       "      <td>-204.000</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.253872e-03</td>\n",
-       "      <td>9.853705e-03</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID Product - Isin      month    aum_qty       aum_val  \\\n",
-       "0                  18872   FR0010135103 2015-01-31      0.000  0.000000e+00   \n",
-       "1                  18872   FR0010135103 2015-02-28      0.000  0.000000e+00   \n",
-       "2                  18872   FR0010135103 2015-03-31      0.000  0.000000e+00   \n",
-       "3                  18872   FR0010135103 2015-04-30  50219.393  3.452433e+07   \n",
-       "4                  18872   FR0010135103 2015-05-31  53685.393  3.699729e+07   \n",
-       "\n",
-       "        region      country  net_flow_qty  gross_flow_qty   sub_qty  red_qty  \\\n",
-       "0  Switzerland  Switzerland       673.990          956.01   859.990 -186.000   \n",
-       "1  Switzerland  Switzerland       988.000         1712.00  1350.000 -362.000   \n",
-       "2  Switzerland  Switzerland         9.710         1447.71   785.710 -776.000   \n",
-       "3  Switzerland  Switzerland      -123.234         1708.19   853.478 -976.712   \n",
-       "4  Switzerland  Switzerland       121.000          529.00   325.000 -204.000   \n",
-       "\n",
-       "   n_tx  region_flow country_flow  active_rel_month  holding_rel_month  \\\n",
-       "0   9.0  Switzerland  Switzerland                 1                  0   \n",
-       "1  12.0  Switzerland  Switzerland                 1                  0   \n",
-       "2  12.0  Switzerland  Switzerland                 1                  0   \n",
-       "3  11.0  Switzerland  Switzerland                 1                  1   \n",
-       "4   6.0  Switzerland  Switzerland                 1                  1   \n",
-       "\n",
-       "   flow_to_aum_rel  turnover_rel  \n",
-       "0     6.739900e+11  9.560100e+11  \n",
-       "1     9.880000e+11  1.712000e+12  \n",
-       "2     9.710000e+09  1.447710e+12  \n",
-       "3    -2.453913e-03  3.401455e-02  \n",
-       "4     2.253872e-03  9.853705e-03  "
-      ]
-     },
-     "execution_count": 301,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_flows_rel_m = (\n",
-    "    df_flows\n",
-    "    .dropna(subset=[ID_COL, ISIN_COL, \"month\"])\n",
-    "    .assign(\n",
-    "        gross_flow_qty=lambda x: x[FLOW_QTY_COL].abs(),\n",
-    "        sub_qty=lambda x: x[FLOW_SUB_COL].fillna(0),\n",
-    "        red_qty=lambda x: x[FLOW_RED_COL].fillna(0)\n",
-    "    )\n",
-    "    .groupby([ID_COL, ISIN_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        net_flow_qty=(FLOW_QTY_COL, \"sum\"),\n",
-    "        gross_flow_qty=(\"gross_flow_qty\", \"sum\"),\n",
-    "        sub_qty=(\"sub_qty\", \"sum\"),\n",
-    "        red_qty=(\"red_qty\", \"sum\"),\n",
-    "        n_tx=(FLOW_QTY_COL, \"size\"),\n",
-    "        region=(REGION_COL, \"last\"),\n",
-    "        country=(COUNTRY_COL, \"last\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_aum_rel_m = (\n",
-    "    df_aum\n",
-    "    .dropna(subset=[ID_COL, ISIN_COL, \"month\"])\n",
-    "    .groupby([ID_COL, ISIN_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        aum_qty=(AUM_QTY_COL, \"sum\"),\n",
-    "        aum_val=(AUM_VAL_COL, \"sum\"),\n",
-    "        region=(REGION_COL, \"last\"),\n",
-    "        country=(COUNTRY_COL, \"last\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "keys = pd.concat([\n",
-    "    df_flows_rel_m[[ID_COL, ISIN_COL, \"month\"]],\n",
-    "    df_aum_rel_m[[ID_COL, ISIN_COL, \"month\"]]\n",
-    "]).drop_duplicates()\n",
-    "\n",
-    "df_rel_m = (\n",
-    "    keys\n",
-    "    .merge(df_aum_rel_m, on=[ID_COL, ISIN_COL, \"month\"], how=\"left\", suffixes=(\"\", \"_aum\"))\n",
-    "    .merge(df_flows_rel_m, on=[ID_COL, ISIN_COL, \"month\"], how=\"left\", suffixes=(\"\", \"_flow\"))\n",
-    ")\n",
-    "\n",
-    "for c in [\"aum_qty\", \"aum_val\", \"net_flow_qty\", \"gross_flow_qty\", \"sub_qty\", \"red_qty\", \"n_tx\"]:\n",
-    "    df_rel_m[c] = df_rel_m[c].fillna(0)\n",
-    "\n",
-    "df_rel_m[\"region\"] = df_rel_m[\"region\"].fillna(df_rel_m.get(\"region_flow\"))\n",
-    "df_rel_m[\"country\"] = df_rel_m[\"country\"].fillna(df_rel_m.get(\"country_flow\"))\n",
-    "\n",
-    "df_rel_m[\"active_rel_month\"] = (df_rel_m[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "df_rel_m[\"holding_rel_month\"] = (df_rel_m[\"aum_qty\"] > 0).astype(int)\n",
-    "df_rel_m[\"flow_to_aum_rel\"] = df_rel_m[\"net_flow_qty\"] / (df_rel_m[\"aum_qty\"].abs() + EPS)\n",
-    "df_rel_m[\"turnover_rel\"] = df_rel_m[\"gross_flow_qty\"] / (df_rel_m[\"aum_qty\"].abs() + EPS)\n",
-    "\n",
-    "print(df_rel_m.shape)\n",
-    "df_rel_m.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 302,
-   "id": "321b09ab-90f0-4add-a670-0d8c74046e03",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>aum_val</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>sub_qty</th>\n",
-       "      <th>red_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "      <th>region_flow</th>\n",
-       "      <th>country_flow</th>\n",
-       "      <th>active_rel_month</th>\n",
-       "      <th>holding_rel_month</th>\n",
-       "      <th>flow_to_aum_rel</th>\n",
-       "      <th>turnover_rel</th>\n",
-       "      <th>ret_fund_m</th>\n",
-       "      <th>ret_bench_m</th>\n",
-       "      <th>active_return_m</th>\n",
-       "      <th>delta_rate_m</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>673.990</td>\n",
-       "      <td>956.01</td>\n",
-       "      <td>859.990</td>\n",
-       "      <td>-186.000</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6.739900e+11</td>\n",
-       "      <td>9.560100e+11</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.058</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>988.000</td>\n",
-       "      <td>1712.00</td>\n",
-       "      <td>1350.000</td>\n",
-       "      <td>-362.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.880000e+11</td>\n",
-       "      <td>1.712000e+12</td>\n",
-       "      <td>0.121368</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.022</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>9.710</td>\n",
-       "      <td>1447.71</td>\n",
-       "      <td>785.710</td>\n",
-       "      <td>-776.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.710000e+09</td>\n",
-       "      <td>1.447710e+12</td>\n",
-       "      <td>0.068598</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.014</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>50219.393</td>\n",
-       "      <td>3.452433e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>-123.234</td>\n",
-       "      <td>1708.19</td>\n",
-       "      <td>853.478</td>\n",
-       "      <td>-976.712</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-2.453913e-03</td>\n",
-       "      <td>3.401455e-02</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.077</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>53685.393</td>\n",
-       "      <td>3.699729e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>121.000</td>\n",
-       "      <td>529.00</td>\n",
-       "      <td>325.000</td>\n",
-       "      <td>-204.000</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.253872e-03</td>\n",
-       "      <td>9.853705e-03</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.053</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID Product - Isin      month    aum_qty       aum_val  \\\n",
-       "0                  18872   FR0010135103 2015-01-31      0.000  0.000000e+00   \n",
-       "1                  18872   FR0010135103 2015-02-28      0.000  0.000000e+00   \n",
-       "2                  18872   FR0010135103 2015-03-31      0.000  0.000000e+00   \n",
-       "3                  18872   FR0010135103 2015-04-30  50219.393  3.452433e+07   \n",
-       "4                  18872   FR0010135103 2015-05-31  53685.393  3.699729e+07   \n",
-       "\n",
-       "        region      country  net_flow_qty  gross_flow_qty   sub_qty  red_qty  \\\n",
-       "0  Switzerland  Switzerland       673.990          956.01   859.990 -186.000   \n",
-       "1  Switzerland  Switzerland       988.000         1712.00  1350.000 -362.000   \n",
-       "2  Switzerland  Switzerland         9.710         1447.71   785.710 -776.000   \n",
-       "3  Switzerland  Switzerland      -123.234         1708.19   853.478 -976.712   \n",
-       "4  Switzerland  Switzerland       121.000          529.00   325.000 -204.000   \n",
-       "\n",
-       "   n_tx  region_flow country_flow  active_rel_month  holding_rel_month  \\\n",
-       "0   9.0  Switzerland  Switzerland                 1                  0   \n",
-       "1  12.0  Switzerland  Switzerland                 1                  0   \n",
-       "2  12.0  Switzerland  Switzerland                 1                  0   \n",
-       "3  11.0  Switzerland  Switzerland                 1                  1   \n",
-       "4   6.0  Switzerland  Switzerland                 1                  1   \n",
-       "\n",
-       "   flow_to_aum_rel  turnover_rel  ret_fund_m  ret_bench_m  active_return_m  \\\n",
-       "0     6.739900e+11  9.560100e+11    0.000000          0.0              0.0   \n",
-       "1     9.880000e+11  1.712000e+12    0.121368          0.0              0.0   \n",
-       "2     9.710000e+09  1.447710e+12    0.068598          0.0              0.0   \n",
-       "3    -2.453913e-03  3.401455e-02    0.000000          0.0              0.0   \n",
-       "4     2.253872e-03  9.853705e-03    0.000000          0.0              0.0   \n",
-       "\n",
-       "   delta_rate_m  \n",
-       "0        -0.058  \n",
-       "1        -0.022  \n",
-       "2        -0.014  \n",
-       "3        -0.077  \n",
-       "4        -0.053  "
-      ]
-     },
-     "execution_count": 302,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Ajout\n",
-    "\n",
-    "df_nav_m = (\n",
-    "    df_nav\n",
-    "    .dropna(subset=[NAV_ISIN_COL, \"month\", NAV_PRICE_COL])\n",
-    "    .sort_values([NAV_ISIN_COL, \"month\"])\n",
-    "    .groupby([NAV_ISIN_COL, \"month\"], as_index=False)\n",
-    "    .tail(1)\n",
-    "    .copy()\n",
-    ")\n",
-    "\n",
-    "df_nav_m[\"ret_fund_m\"] = df_nav_m.groupby(NAV_ISIN_COL)[NAV_PRICE_COL].pct_change()\n",
-    "df_nav_m[\"ret_bench_m\"] = df_nav_m.groupby(NAV_ISIN_COL)[NAV_BENCH_COL].pct_change()\n",
-    "df_nav_m[\"active_return_m\"] = df_nav_m[\"ret_fund_m\"] - df_nav_m[\"ret_bench_m\"]\n",
-    "\n",
-    "df_nav_m = df_nav_m.rename(columns={NAV_ISIN_COL: ISIN_COL})\n",
-    "df_nav_m = df_nav_m[[ISIN_COL, \"month\", \"ret_fund_m\", \"ret_bench_m\", \"active_return_m\"]]\n",
-    "\n",
-    "df_rates_m = (\n",
-    "    df_rates\n",
-    "    .dropna(subset=[\"month\", RATE_VAL_COL])\n",
-    "    .sort_values(RATE_DATE_COL)\n",
-    "    .groupby(\"month\", as_index=False)\n",
-    "    .tail(1)\n",
-    "    .copy()\n",
-    ")\n",
-    "\n",
-    "df_rates_m[\"delta_rate_m\"] = df_rates_m[RATE_VAL_COL].diff()\n",
-    "df_rates_m = df_rates_m[[\"month\", RATE_VAL_COL, \"delta_rate_m\"]]\n",
-    "\n",
-    "\n",
-    "        \n",
-    "df_rel_m = df_rel_m.merge(\n",
-    "    df_nav_m,\n",
-    "    on=[ISIN_COL, \"month\"],\n",
-    "    how=\"left\"\n",
-    ")\n",
-    "\n",
-    "df_rel_m = df_rel_m.merge(\n",
-    "    df_rates_m[[\"month\", \"delta_rate_m\"]],\n",
-    "    on=\"month\",\n",
-    "    how=\"left\"\n",
-    ")\n",
-    "\n",
-    "for c in [\"ret_fund_m\", \"ret_bench_m\", \"active_return_m\", \"delta_rate_m\"]:\n",
-    "    df_rel_m[c] = df_rel_m[c].fillna(0)\n",
-    "\n",
-    "df_rel_m.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 303,
-   "id": "614bf72b-7afa-4633-ba09-22540a441459",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(31709, 23)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>aum_val</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>sub_qty</th>\n",
-       "      <th>red_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "      <th>n_isin_held</th>\n",
-       "      <th>n_isin_active</th>\n",
-       "      <th>delta_rate_m</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>ret_fund_m</th>\n",
-       "      <th>ret_bench_m</th>\n",
-       "      <th>active_month</th>\n",
-       "      <th>flow_to_aum_m</th>\n",
-       "      <th>turnover_m</th>\n",
-       "      <th>sub_share_m</th>\n",
-       "      <th>red_share_m</th>\n",
-       "      <th>aum_peak_to_date</th>\n",
-       "      <th>aum_drawdown</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>11819.680</td>\n",
-       "      <td>1.694553e+06</td>\n",
-       "      <td>-1524.010</td>\n",
-       "      <td>15230.010</td>\n",
-       "      <td>6897.990</td>\n",
-       "      <td>-8422.000</td>\n",
-       "      <td>32.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>13</td>\n",
-       "      <td>-0.058</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.013100</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.128938</td>\n",
-       "      <td>1.288530</td>\n",
-       "      <td>0.452921</td>\n",
-       "      <td>-0.552987</td>\n",
-       "      <td>11819.680</td>\n",
-       "      <td>8.459899e-14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>5705.000</td>\n",
-       "      <td>7.008600e+05</td>\n",
-       "      <td>7247.100</td>\n",
-       "      <td>18571.880</td>\n",
-       "      <td>13219.490</td>\n",
-       "      <td>-5972.390</td>\n",
-       "      <td>38.0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>13</td>\n",
-       "      <td>-0.022</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.079848</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1.270307</td>\n",
-       "      <td>3.255369</td>\n",
-       "      <td>0.711801</td>\n",
-       "      <td>-0.321582</td>\n",
-       "      <td>11819.680</td>\n",
-       "      <td>5.173304e-01</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>70038.905</td>\n",
-       "      <td>1.503549e+07</td>\n",
-       "      <td>3655.380</td>\n",
-       "      <td>9754.040</td>\n",
-       "      <td>6767.710</td>\n",
-       "      <td>-3112.330</td>\n",
-       "      <td>47.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>14</td>\n",
-       "      <td>-0.014</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.005051</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.052191</td>\n",
-       "      <td>0.139266</td>\n",
-       "      <td>0.693837</td>\n",
-       "      <td>-0.319081</td>\n",
-       "      <td>70038.905</td>\n",
-       "      <td>1.432188e-14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>70324.489</td>\n",
-       "      <td>3.928292e+07</td>\n",
-       "      <td>-218.394</td>\n",
-       "      <td>12840.950</td>\n",
-       "      <td>6384.278</td>\n",
-       "      <td>-6602.672</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>13</td>\n",
-       "      <td>-0.077</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.003106</td>\n",
-       "      <td>0.182596</td>\n",
-       "      <td>0.497181</td>\n",
-       "      <td>-0.514189</td>\n",
-       "      <td>70324.489</td>\n",
-       "      <td>1.432188e-14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>75567.276</td>\n",
-       "      <td>3.987712e+07</td>\n",
-       "      <td>-4782.849</td>\n",
-       "      <td>6332.849</td>\n",
-       "      <td>775.000</td>\n",
-       "      <td>-5557.849</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>7</td>\n",
-       "      <td>9</td>\n",
-       "      <td>-0.053</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.063293</td>\n",
-       "      <td>0.083804</td>\n",
-       "      <td>0.122378</td>\n",
-       "      <td>-0.877622</td>\n",
-       "      <td>75567.276</td>\n",
-       "      <td>1.332268e-14</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID      month    aum_qty       aum_val  net_flow_qty  \\\n",
-       "0                  18872 2015-01-31  11819.680  1.694553e+06     -1524.010   \n",
-       "1                  18872 2015-02-28   5705.000  7.008600e+05      7247.100   \n",
-       "2                  18872 2015-03-31  70038.905  1.503549e+07      3655.380   \n",
-       "3                  18872 2015-04-30  70324.489  3.928292e+07      -218.394   \n",
-       "4                  18872 2015-05-31  75567.276  3.987712e+07     -4782.849   \n",
-       "\n",
-       "   gross_flow_qty    sub_qty   red_qty  n_tx  n_isin_held  n_isin_active  \\\n",
-       "0       15230.010   6897.990 -8422.000  32.0            4             13   \n",
-       "1       18571.880  13219.490 -5972.390  38.0            3             13   \n",
-       "2        9754.040   6767.710 -3112.330  47.0            4             14   \n",
-       "3       12840.950   6384.278 -6602.672  39.0            4             13   \n",
-       "4        6332.849    775.000 -5557.849  24.0            7              9   \n",
-       "\n",
-       "   delta_rate_m       region      country  ret_fund_m  ret_bench_m  \\\n",
-       "0        -0.058  Switzerland  Switzerland    0.013100          0.0   \n",
-       "1        -0.022  Switzerland  Switzerland    0.079848          0.0   \n",
-       "2        -0.014  Switzerland  Switzerland    0.005051          0.0   \n",
-       "3        -0.077  Switzerland  Switzerland    0.000000          0.0   \n",
-       "4        -0.053  Switzerland  Switzerland    0.000000          0.0   \n",
-       "\n",
-       "   active_month  flow_to_aum_m  turnover_m  sub_share_m  red_share_m  \\\n",
-       "0             1      -0.128938    1.288530     0.452921    -0.552987   \n",
-       "1             1       1.270307    3.255369     0.711801    -0.321582   \n",
-       "2             1       0.052191    0.139266     0.693837    -0.319081   \n",
-       "3             1      -0.003106    0.182596     0.497181    -0.514189   \n",
-       "4             1      -0.063293    0.083804     0.122378    -0.877622   \n",
-       "\n",
-       "   aum_peak_to_date  aum_drawdown  \n",
-       "0         11819.680  8.459899e-14  \n",
-       "1         11819.680  5.173304e-01  \n",
-       "2         70038.905  1.432188e-14  \n",
-       "3         70324.489  1.432188e-14  \n",
-       "4         75567.276  1.332268e-14  "
-      ]
-     },
-     "execution_count": 303,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Données agrégées sur les ISIN\n",
-    "\n",
-    "# =========================\n",
-    "# ULTRA LIGHT VERSION\n",
-    "# =========================\n",
-    "\n",
-    "tmp = df_rel_m.copy()\n",
-    "tmp[\"isin_held_flag\"] = (tmp[\"aum_qty\"] > 0).astype(int)\n",
-    "tmp[\"isin_active_flag\"] = (tmp[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "\n",
-    "tmp[\"aum_total\"] = tmp.groupby([ID_COL, \"month\"])[\"aum_qty\"].transform(\"sum\")\n",
-    "tmp[\"w\"] = tmp[\"aum_qty\"] / (tmp[\"aum_total\"] + 1e-12)\n",
-    "tmp[\"ret_fund_w\"] = tmp[\"w\"] * tmp[\"ret_fund_m\"]\n",
-    "tmp[\"ret_bench_w\"] = tmp[\"w\"] * tmp[\"ret_bench_m\"]\n",
-    "\n",
-    "df_month = (\n",
-    "    tmp.groupby([ID_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        aum_qty=(\"aum_qty\", \"sum\"),\n",
-    "        aum_val=(\"aum_val\", \"sum\"),\n",
-    "        net_flow_qty=(\"net_flow_qty\", \"sum\"),\n",
-    "        gross_flow_qty=(\"gross_flow_qty\", \"sum\"),\n",
-    "        sub_qty=(\"sub_qty\", \"sum\"),\n",
-    "        red_qty=(\"red_qty\", \"sum\"),\n",
-    "        n_tx=(\"n_tx\", \"sum\"),\n",
-    "        n_isin_held=(\"isin_held_flag\", \"sum\"),\n",
-    "        n_isin_active=(\"isin_active_flag\", \"sum\"),\n",
-    "        delta_rate_m=(\"delta_rate_m\", \"first\"),\n",
-    "        region=(\"region\", \"first\"),\n",
-    "        country=(\"country\", \"first\"),\n",
-    "        ret_fund_m=(\"ret_fund_w\", \"sum\"),\n",
-    "        ret_bench_m=(\"ret_bench_w\", \"sum\")\n",
-    "    )\n",
-    "    .sort_values([ID_COL, \"month\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")\n",
-    "\n",
-    "\n",
-    "df_month[\"active_month\"] = (df_month[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "df_month[\"flow_to_aum_m\"] = df_month[\"net_flow_qty\"] / (df_month[\"aum_qty\"].abs() + EPS)\n",
-    "df_month[\"turnover_m\"] = df_month[\"gross_flow_qty\"] / (df_month[\"aum_qty\"].abs() + EPS)\n",
-    "df_month[\"sub_share_m\"] = df_month[\"sub_qty\"] / (df_month[\"gross_flow_qty\"] + EPS)\n",
-    "df_month[\"red_share_m\"] = df_month[\"red_qty\"] / (df_month[\"gross_flow_qty\"] + EPS)\n",
-    "\n",
-    "df_month[\"aum_peak_to_date\"] = df_month.groupby(ID_COL)[\"aum_qty\"].cummax()\n",
-    "df_month[\"aum_drawdown\"] = 1 - (df_month[\"aum_qty\"] / (df_month[\"aum_peak_to_date\"] + EPS))\n",
-    "df_month = df_month[df_month[\"month\"] <= '2025-10-31']\n",
-    "\n",
-    "key_cols = [\"Registrar Account - ID\", \"month\"]\n",
-    "\n",
-    "df_month = df_month.merge(\n",
-    "    df_month0[key_cols].drop_duplicates(),\n",
-    "    on=key_cols,\n",
-    "    how=\"inner\"\n",
-    ")\n",
-    "print(df_month.shape)\n",
-    "df_month.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 304,
-   "id": "2e01fa4f-ba89-4c8a-8cbb-528d89bc811c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>rel_n_months</th>\n",
-       "      <th>rel_active_months</th>\n",
-       "      <th>rel_holding_months</th>\n",
-       "      <th>rel_aum_mean</th>\n",
-       "      <th>rel_turnover_mean</th>\n",
-       "      <th>rel_turnover_vol</th>\n",
-       "      <th>rel_flow_to_aum_vol</th>\n",
-       "      <th>rel_n_tx</th>\n",
-       "      <th>rel_full_exit_count</th>\n",
-       "      <th>rel_entry_count</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>98</td>\n",
-       "      <td>91</td>\n",
-       "      <td>26</td>\n",
-       "      <td>2519.829520</td>\n",
-       "      <td>5.898325e+11</td>\n",
-       "      <td>9.652436e+11</td>\n",
-       "      <td>9.242856e+11</td>\n",
-       "      <td>382.0</td>\n",
-       "      <td>12</td>\n",
-       "      <td>13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010147603</td>\n",
-       "      <td>17</td>\n",
-       "      <td>8</td>\n",
-       "      <td>10</td>\n",
-       "      <td>695.058824</td>\n",
-       "      <td>1.685294e+11</td>\n",
-       "      <td>3.805578e+11</td>\n",
-       "      <td>3.805578e+11</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010148981</td>\n",
-       "      <td>81</td>\n",
-       "      <td>66</td>\n",
-       "      <td>28</td>\n",
-       "      <td>831.906963</td>\n",
-       "      <td>6.628200e+10</td>\n",
-       "      <td>1.140022e+11</td>\n",
-       "      <td>1.212644e+11</td>\n",
-       "      <td>149.0</td>\n",
-       "      <td>16</td>\n",
-       "      <td>17</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010149112</td>\n",
-       "      <td>19</td>\n",
-       "      <td>12</td>\n",
-       "      <td>5</td>\n",
-       "      <td>885.208737</td>\n",
-       "      <td>5.886253e+11</td>\n",
-       "      <td>1.251992e+12</td>\n",
-       "      <td>1.273644e+12</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010149120</td>\n",
-       "      <td>99</td>\n",
-       "      <td>79</td>\n",
-       "      <td>36</td>\n",
-       "      <td>425.655010</td>\n",
-       "      <td>1.673836e+11</td>\n",
-       "      <td>6.287132e+11</td>\n",
-       "      <td>6.316077e+11</td>\n",
-       "      <td>152.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>15</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID Product - Isin  rel_n_months  rel_active_months  \\\n",
-       "0                  18872   FR0010135103            98                 91   \n",
-       "1                  18872   FR0010147603            17                  8   \n",
-       "2                  18872   FR0010148981            81                 66   \n",
-       "3                  18872   FR0010149112            19                 12   \n",
-       "4                  18872   FR0010149120            99                 79   \n",
-       "\n",
-       "   rel_holding_months  rel_aum_mean  rel_turnover_mean  rel_turnover_vol  \\\n",
-       "0                  26   2519.829520       5.898325e+11      9.652436e+11   \n",
-       "1                  10    695.058824       1.685294e+11      3.805578e+11   \n",
-       "2                  28    831.906963       6.628200e+10      1.140022e+11   \n",
-       "3                   5    885.208737       5.886253e+11      1.251992e+12   \n",
-       "4                  36    425.655010       1.673836e+11      6.287132e+11   \n",
-       "\n",
-       "   rel_flow_to_aum_vol  rel_n_tx  rel_full_exit_count  rel_entry_count  \n",
-       "0         9.242856e+11     382.0                   12               13  \n",
-       "1         3.805578e+11       9.0                    4                4  \n",
-       "2         1.212644e+11     149.0                   16               17  \n",
-       "3         1.273644e+12      13.0                    3                3  \n",
-       "4         6.316077e+11     152.0                   14               15  "
-      ]
-     },
-     "execution_count": 304,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Données agrégées sur les mois\n",
-    "tmp = df_rel_m.sort_values([ID_COL, ISIN_COL, \"month\"]).copy()\n",
-    "tmp[\"prev_aum\"] = tmp.groupby([ID_COL, ISIN_COL])[\"aum_qty\"].shift(1)\n",
-    "tmp[\"full_exit_event\"] = ((tmp[\"prev_aum\"] > 0) & (tmp[\"aum_qty\"] <= 0)).astype(int)\n",
-    "tmp[\"entry_event\"] = ((tmp[\"prev_aum\"].fillna(0) <= 0) & (tmp[\"aum_qty\"] > 0)).astype(int)\n",
-    "\n",
-    "df_rel_feat = (\n",
-    "    tmp.groupby([ID_COL, ISIN_COL], as_index=False)\n",
-    "    .agg(\n",
-    "        rel_n_months=(\"month\", \"nunique\"),\n",
-    "        rel_active_months=(\"active_rel_month\", \"sum\"),\n",
-    "        rel_holding_months=(\"holding_rel_month\", \"sum\"),\n",
-    "        rel_aum_mean=(\"aum_qty\", \"mean\"),\n",
-    "        rel_turnover_mean=(\"turnover_rel\", \"mean\"),\n",
-    "        rel_turnover_vol=(\"turnover_rel\", \"std\"),\n",
-    "        rel_flow_to_aum_vol=(\"flow_to_aum_rel\", \"std\"),\n",
-    "        rel_n_tx=(\"n_tx\", \"sum\"),\n",
-    "        rel_full_exit_count=(\"full_exit_event\", \"sum\"),\n",
-    "        rel_entry_count=(\"entry_event\", \"sum\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_rel_feat.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 305,
-   "id": "2d81b4fd-f82d-42f1-ba03-8460706fea0d",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(431, 40)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>n_months</th>\n",
-       "      <th>n_active_months</th>\n",
-       "      <th>flow_freq</th>\n",
-       "      <th>aum_qty_mean</th>\n",
-       "      <th>aum_qty_median</th>\n",
-       "      <th>aum_qty_max</th>\n",
-       "      <th>aum_qty_last</th>\n",
-       "      <th>net_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_mean</th>\n",
-       "      <th>n_tx_total</th>\n",
-       "      <th>net_flow_vol</th>\n",
-       "      <th>turnover_mean</th>\n",
-       "      <th>turnover_vol</th>\n",
-       "      <th>flow_to_aum_mean</th>\n",
-       "      <th>flow_to_aum_vol</th>\n",
-       "      <th>avg_n_isin_held</th>\n",
-       "      <th>max_n_isin_held</th>\n",
-       "      <th>sub_share_mean</th>\n",
-       "      <th>red_share_mean</th>\n",
-       "      <th>delta_rate_mean</th>\n",
-       "      <th>aum_drawdown_last</th>\n",
-       "      <th>aum_drawdown_max</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>n_isin_total</th>\n",
-       "      <th>rel_turnover_mean_avg</th>\n",
-       "      <th>rel_turnover_vol_avg</th>\n",
-       "      <th>rel_flow_to_aum_vol_avg</th>\n",
-       "      <th>full_exit_count</th>\n",
-       "      <th>entry_count</th>\n",
-       "      <th>avg_holding_months_per_isin</th>\n",
-       "      <th>max_holding_months_per_isin</th>\n",
-       "      <th>corr_flow_fund_lag3</th>\n",
-       "      <th>corr_flow_fund_lag6</th>\n",
-       "      <th>corr_flow_bench_lag3</th>\n",
-       "      <th>corr_flow_bench_lag6</th>\n",
-       "      <th>corr_flow_rate_lag3</th>\n",
-       "      <th>corr_flow_rate_lag6</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>23477.224308</td>\n",
-       "      <td>14880.4715</td>\n",
-       "      <td>88818.372</td>\n",
-       "      <td>67570.855</td>\n",
-       "      <td>-45677.1480</td>\n",
-       "      <td>1.244126e+06</td>\n",
-       "      <td>9570.200015</td>\n",
-       "      <td>1926.0</td>\n",
-       "      <td>9832.357264</td>\n",
-       "      <td>6.382330e+10</td>\n",
-       "      <td>5.151309e+11</td>\n",
-       "      <td>-2.560792e+10</td>\n",
-       "      <td>2.841988e+11</td>\n",
-       "      <td>7.507692</td>\n",
-       "      <td>26</td>\n",
-       "      <td>0.429844</td>\n",
-       "      <td>-0.576520</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>2.392243e-01</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>107</td>\n",
-       "      <td>4.063407e+11</td>\n",
-       "      <td>8.956214e+11</td>\n",
-       "      <td>8.915940e+11</td>\n",
-       "      <td>310</td>\n",
-       "      <td>344</td>\n",
-       "      <td>9.121495</td>\n",
-       "      <td>36</td>\n",
-       "      <td>0.007825</td>\n",
-       "      <td>0.008326</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.007546</td>\n",
-       "      <td>0.014510</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>200000076</td>\n",
-       "      <td>130</td>\n",
-       "      <td>119</td>\n",
-       "      <td>0.915385</td>\n",
-       "      <td>15840.000331</td>\n",
-       "      <td>9272.4710</td>\n",
-       "      <td>50732.461</td>\n",
-       "      <td>44837.203</td>\n",
-       "      <td>54791.9840</td>\n",
-       "      <td>2.314415e+05</td>\n",
-       "      <td>1780.319492</td>\n",
-       "      <td>518.0</td>\n",
-       "      <td>2838.000232</td>\n",
-       "      <td>1.457820e-01</td>\n",
-       "      <td>2.457632e-01</td>\n",
-       "      <td>-1.707090e-02</td>\n",
-       "      <td>2.717209e-01</td>\n",
-       "      <td>4.700000</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0.508681</td>\n",
-       "      <td>-0.415876</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.162029e-01</td>\n",
-       "      <td>0.949206</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>22</td>\n",
-       "      <td>6.276897e+10</td>\n",
-       "      <td>2.469731e+11</td>\n",
-       "      <td>2.481822e+11</td>\n",
-       "      <td>71</td>\n",
-       "      <td>81</td>\n",
-       "      <td>27.772727</td>\n",
-       "      <td>85</td>\n",
-       "      <td>0.015278</td>\n",
-       "      <td>0.096449</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.025181</td>\n",
-       "      <td>0.012844</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>200000082</td>\n",
-       "      <td>71</td>\n",
-       "      <td>71</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>85194.200239</td>\n",
-       "      <td>25820.0550</td>\n",
-       "      <td>316149.358</td>\n",
-       "      <td>131158.471</td>\n",
-       "      <td>14575.5560</td>\n",
-       "      <td>1.229616e+06</td>\n",
-       "      <td>17318.539183</td>\n",
-       "      <td>4807.0</td>\n",
-       "      <td>13472.042652</td>\n",
-       "      <td>4.056892e+11</td>\n",
-       "      <td>2.421685e+12</td>\n",
-       "      <td>-9.687862e+10</td>\n",
-       "      <td>8.402113e+11</td>\n",
-       "      <td>1.760563</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0.438873</td>\n",
-       "      <td>-0.588724</td>\n",
-       "      <td>0.034282</td>\n",
-       "      <td>5.851376e-01</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1.147803e+12</td>\n",
-       "      <td>1.251086e+12</td>\n",
-       "      <td>1.333111e+12</td>\n",
-       "      <td>100</td>\n",
-       "      <td>101</td>\n",
-       "      <td>6.944444</td>\n",
-       "      <td>19</td>\n",
-       "      <td>-0.019860</td>\n",
-       "      <td>-0.020797</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.022861</td>\n",
-       "      <td>-0.135696</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>200000146</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>71298.603700</td>\n",
-       "      <td>15953.6355</td>\n",
-       "      <td>519508.539</td>\n",
-       "      <td>519508.539</td>\n",
-       "      <td>457533.3310</td>\n",
-       "      <td>1.150546e+06</td>\n",
-       "      <td>8850.350438</td>\n",
-       "      <td>4774.0</td>\n",
-       "      <td>10074.748210</td>\n",
-       "      <td>4.770901e+00</td>\n",
-       "      <td>2.930221e+01</td>\n",
-       "      <td>3.780801e+00</td>\n",
-       "      <td>2.870987e+01</td>\n",
-       "      <td>6.684615</td>\n",
-       "      <td>14</td>\n",
-       "      <td>0.517815</td>\n",
-       "      <td>-0.556667</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.887379e-15</td>\n",
-       "      <td>0.999302</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>33</td>\n",
-       "      <td>2.123548e+11</td>\n",
-       "      <td>3.670050e+11</td>\n",
-       "      <td>3.882699e+11</td>\n",
-       "      <td>237</td>\n",
-       "      <td>256</td>\n",
-       "      <td>26.333333</td>\n",
-       "      <td>54</td>\n",
-       "      <td>0.281071</td>\n",
-       "      <td>-0.020188</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.018482</td>\n",
-       "      <td>-0.018833</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>200000147</td>\n",
-       "      <td>129</td>\n",
-       "      <td>129</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>35957.851907</td>\n",
-       "      <td>18047.3390</td>\n",
-       "      <td>174703.188</td>\n",
-       "      <td>8478.402</td>\n",
-       "      <td>677424.2191</td>\n",
-       "      <td>1.210845e+06</td>\n",
-       "      <td>9386.398474</td>\n",
-       "      <td>7523.0</td>\n",
-       "      <td>13914.783110</td>\n",
-       "      <td>1.775257e+00</td>\n",
-       "      <td>8.769726e+00</td>\n",
-       "      <td>1.150007e+00</td>\n",
-       "      <td>7.862819e+00</td>\n",
-       "      <td>13.162791</td>\n",
-       "      <td>27</td>\n",
-       "      <td>0.599433</td>\n",
-       "      <td>-0.448172</td>\n",
-       "      <td>0.013837</td>\n",
-       "      <td>9.514697e-01</td>\n",
-       "      <td>0.996847</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>78</td>\n",
-       "      <td>5.279255e+11</td>\n",
-       "      <td>6.892142e+11</td>\n",
-       "      <td>6.858178e+11</td>\n",
-       "      <td>596</td>\n",
-       "      <td>619</td>\n",
-       "      <td>21.769231</td>\n",
-       "      <td>49</td>\n",
-       "      <td>-0.026933</td>\n",
-       "      <td>-0.010493</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.204637</td>\n",
-       "      <td>-0.109646</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID  n_months  n_active_months  flow_freq  aum_qty_mean  \\\n",
-       "0                  18872       130              130   1.000000  23477.224308   \n",
-       "1              200000076       130              119   0.915385  15840.000331   \n",
-       "2              200000082        71               71   1.000000  85194.200239   \n",
-       "3              200000146       130              130   1.000000  71298.603700   \n",
-       "4              200000147       129              129   1.000000  35957.851907   \n",
-       "\n",
-       "   aum_qty_median  aum_qty_max  aum_qty_last  net_flow_qty_sum  \\\n",
-       "0      14880.4715    88818.372     67570.855       -45677.1480   \n",
-       "1       9272.4710    50732.461     44837.203        54791.9840   \n",
-       "2      25820.0550   316149.358    131158.471        14575.5560   \n",
-       "3      15953.6355   519508.539    519508.539       457533.3310   \n",
-       "4      18047.3390   174703.188      8478.402       677424.2191   \n",
-       "\n",
-       "   gross_flow_qty_sum  gross_flow_qty_mean  n_tx_total  net_flow_vol  \\\n",
-       "0        1.244126e+06          9570.200015      1926.0   9832.357264   \n",
-       "1        2.314415e+05          1780.319492       518.0   2838.000232   \n",
-       "2        1.229616e+06         17318.539183      4807.0  13472.042652   \n",
-       "3        1.150546e+06          8850.350438      4774.0  10074.748210   \n",
-       "4        1.210845e+06          9386.398474      7523.0  13914.783110   \n",
-       "\n",
-       "   turnover_mean  turnover_vol  flow_to_aum_mean  flow_to_aum_vol  \\\n",
-       "0   6.382330e+10  5.151309e+11     -2.560792e+10     2.841988e+11   \n",
-       "1   1.457820e-01  2.457632e-01     -1.707090e-02     2.717209e-01   \n",
-       "2   4.056892e+11  2.421685e+12     -9.687862e+10     8.402113e+11   \n",
-       "3   4.770901e+00  2.930221e+01      3.780801e+00     2.870987e+01   \n",
-       "4   1.775257e+00  8.769726e+00      1.150007e+00     7.862819e+00   \n",
-       "\n",
-       "   avg_n_isin_held  max_n_isin_held  sub_share_mean  red_share_mean  \\\n",
-       "0         7.507692               26        0.429844       -0.576520   \n",
-       "1         4.700000                9        0.508681       -0.415876   \n",
-       "2         1.760563                4        0.438873       -0.588724   \n",
-       "3         6.684615               14        0.517815       -0.556667   \n",
-       "4        13.162791               27        0.599433       -0.448172   \n",
-       "\n",
-       "   delta_rate_mean  aum_drawdown_last  aum_drawdown_max       region  \\\n",
-       "0         0.013723       2.392243e-01          1.000000  Switzerland   \n",
-       "1         0.013723       1.162029e-01          0.949206        Spain   \n",
-       "2         0.034282       5.851376e-01          1.000000        Italy   \n",
-       "3         0.013723       1.887379e-15          0.999302        Italy   \n",
-       "4         0.013837       9.514697e-01          0.996847        Italy   \n",
-       "\n",
-       "       country  n_isin_total  rel_turnover_mean_avg  rel_turnover_vol_avg  \\\n",
-       "0  Switzerland           107           4.063407e+11          8.956214e+11   \n",
-       "1        Spain            22           6.276897e+10          2.469731e+11   \n",
-       "2        Italy            18           1.147803e+12          1.251086e+12   \n",
-       "3        Italy            33           2.123548e+11          3.670050e+11   \n",
-       "4        Italy            78           5.279255e+11          6.892142e+11   \n",
-       "\n",
-       "   rel_flow_to_aum_vol_avg  full_exit_count  entry_count  \\\n",
-       "0             8.915940e+11              310          344   \n",
-       "1             2.481822e+11               71           81   \n",
-       "2             1.333111e+12              100          101   \n",
-       "3             3.882699e+11              237          256   \n",
-       "4             6.858178e+11              596          619   \n",
-       "\n",
-       "   avg_holding_months_per_isin  max_holding_months_per_isin  \\\n",
-       "0                     9.121495                           36   \n",
-       "1                    27.772727                           85   \n",
-       "2                     6.944444                           19   \n",
-       "3                    26.333333                           54   \n",
-       "4                    21.769231                           49   \n",
-       "\n",
-       "   corr_flow_fund_lag3  corr_flow_fund_lag6  corr_flow_bench_lag3  \\\n",
-       "0             0.007825             0.008326                   NaN   \n",
-       "1             0.015278             0.096449                   NaN   \n",
-       "2            -0.019860            -0.020797                   NaN   \n",
-       "3             0.281071            -0.020188                   NaN   \n",
-       "4            -0.026933            -0.010493                   NaN   \n",
-       "\n",
-       "   corr_flow_bench_lag6  corr_flow_rate_lag3  corr_flow_rate_lag6  \n",
-       "0                   NaN             0.007546             0.014510  \n",
-       "1                   NaN            -0.025181             0.012844  \n",
-       "2                   NaN             0.022861            -0.135696  \n",
-       "3                   NaN            -0.018482            -0.018833  \n",
-       "4                   NaN            -0.204637            -0.109646  "
-      ]
-     },
-     "execution_count": 305,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Données agrégées sur les ISIN et sur les mois\n",
-    "df_rel_client = (\n",
-    "    df_rel_feat\n",
-    "    .groupby(ID_COL, as_index=False)\n",
-    "    .agg(\n",
-    "        n_isin_total=(ISIN_COL, \"nunique\"),\n",
-    "        rel_turnover_mean_avg=(\"rel_turnover_mean\", \"mean\"),\n",
-    "        rel_turnover_vol_avg=(\"rel_turnover_vol\", \"mean\"),\n",
-    "        rel_flow_to_aum_vol_avg=(\"rel_flow_to_aum_vol\", \"mean\"),\n",
-    "        full_exit_count=(\"rel_full_exit_count\", \"sum\"),\n",
-    "        entry_count=(\"rel_entry_count\", \"sum\"),\n",
-    "        avg_holding_months_per_isin=(\"rel_holding_months\", \"mean\"),\n",
-    "        max_holding_months_per_isin=(\"rel_holding_months\", \"max\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_client = (\n",
-    "    df_month\n",
-    "    .groupby(ID_COL, as_index=False)\n",
-    "    .agg(\n",
-    "        n_months=(\"month\", \"nunique\"),\n",
-    "        n_active_months=(\"active_month\", \"sum\"),\n",
-    "        flow_freq=(\"active_month\", \"mean\"),\n",
-    "\n",
-    "        aum_qty_mean=(\"aum_qty\", \"mean\"),\n",
-    "        aum_qty_median=(\"aum_qty\", \"median\"),\n",
-    "        aum_qty_max=(\"aum_qty\", \"max\"),\n",
-    "        aum_qty_last=(\"aum_qty\", \"last\"),\n",
-    "\n",
-    "        net_flow_qty_sum=(\"net_flow_qty\", \"sum\"),\n",
-    "        gross_flow_qty_sum=(\"gross_flow_qty\", \"sum\"),\n",
-    "        gross_flow_qty_mean=(\"gross_flow_qty\", \"mean\"),\n",
-    "        n_tx_total=(\"n_tx\", \"sum\"),\n",
-    "\n",
-    "        net_flow_vol=(\"net_flow_qty\", \"std\"),\n",
-    "        turnover_mean=(\"turnover_m\", \"mean\"),\n",
-    "        turnover_vol=(\"turnover_m\", \"std\"),\n",
-    "        flow_to_aum_mean=(\"flow_to_aum_m\", \"mean\"),\n",
-    "        flow_to_aum_vol=(\"flow_to_aum_m\", \"std\"),\n",
-    "\n",
-    "        avg_n_isin_held=(\"n_isin_held\", \"mean\"),\n",
-    "        max_n_isin_held=(\"n_isin_held\", \"max\"),\n",
-    "\n",
-    "        sub_share_mean=(\"sub_share_m\", \"mean\"),\n",
-    "        red_share_mean=(\"red_share_m\", \"mean\"),\n",
-    "\n",
-    "        delta_rate_mean=(\"delta_rate_m\", \"mean\"),\n",
-    "        aum_drawdown_last=(\"aum_drawdown\", \"last\"),\n",
-    "        aum_drawdown_max=(\"aum_drawdown\", \"max\"),\n",
-    "\n",
-    "        region=(\"region\", \"last\"),\n",
-    "        country=(\"country\", \"last\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_client = df_client.merge(df_rel_client, on=ID_COL, how=\"left\")\n",
-    "\n",
-    "#Variables de corrélations entre performance et flux\n",
-    "def corr_lag(x, y, lag):\n",
-    "    x = np.asarray(x, dtype=float)\n",
-    "    y = np.asarray(y, dtype=float)\n",
-    "    \n",
-    "    mask = np.isfinite(x) & np.isfinite(y)\n",
-    "    x, y = x[mask], y[mask]\n",
-    "    \n",
-    "    if len(x) <= lag + 3:\n",
-    "        return np.nan\n",
-    "    \n",
-    "    return pd.Series(x[lag:]).corr(pd.Series(y[:-lag]))\n",
-    "\n",
-    "rows = []\n",
-    "\n",
-    "for acc, g in df_month.groupby(ID_COL):\n",
-    "    g = g.sort_values(\"month\")\n",
-    "    \n",
-    "    flow = g[\"flow_to_aum_m\"].values\n",
-    "    ret_fund = g[\"ret_fund_m\"].values\n",
-    "    ret_bench = g[\"ret_bench_m\"].values\n",
-    "    rate = g[\"delta_rate_m\"].values\n",
-    "    \n",
-    "    rows.append({\n",
-    "        ID_COL: acc,\n",
-    "        \n",
-    "        # 👇 Corrélations perf vs flux\n",
-    "        \"corr_flow_fund_lag3\": corr_lag(flow, ret_fund, 3),\n",
-    "        \"corr_flow_fund_lag6\": corr_lag(flow, ret_fund, 6),\n",
-    "        \n",
-    "        \"corr_flow_bench_lag3\": corr_lag(flow, ret_bench, 3),\n",
-    "        \"corr_flow_bench_lag6\": corr_lag(flow, ret_bench, 6),\n",
-    "        \n",
-    "        # 👇 Corrélation taux vs flux\n",
-    "        \"corr_flow_rate_lag3\": corr_lag(flow, rate, 3),\n",
-    "        \"corr_flow_rate_lag6\": corr_lag(flow, rate, 6),\n",
-    "    })\n",
-    "\n",
-    "df_corr = pd.DataFrame(rows)\n",
-    "\n",
-    "df_client = df_client.merge(df_corr, on=ID_COL, how=\"left\")\n",
-    "\n",
-    "print(df_client.shape)\n",
-    "df_client.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 306,
-   "id": "8c1a0491-a0bb-4165-b073-41f81637466b",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(431, 44)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>n_months</th>\n",
-       "      <th>n_active_months</th>\n",
-       "      <th>flow_freq</th>\n",
-       "      <th>aum_qty_mean</th>\n",
-       "      <th>aum_qty_median</th>\n",
-       "      <th>aum_qty_max</th>\n",
-       "      <th>aum_qty_last</th>\n",
-       "      <th>net_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_mean</th>\n",
-       "      <th>n_tx_total</th>\n",
-       "      <th>net_flow_vol</th>\n",
-       "      <th>turnover_mean</th>\n",
-       "      <th>turnover_vol</th>\n",
-       "      <th>flow_to_aum_mean</th>\n",
-       "      <th>flow_to_aum_vol</th>\n",
-       "      <th>avg_n_isin_held</th>\n",
-       "      <th>max_n_isin_held</th>\n",
-       "      <th>sub_share_mean</th>\n",
-       "      <th>red_share_mean</th>\n",
-       "      <th>delta_rate_mean</th>\n",
-       "      <th>aum_drawdown_last</th>\n",
-       "      <th>aum_drawdown_max</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>n_isin_total</th>\n",
-       "      <th>rel_turnover_mean_avg</th>\n",
-       "      <th>rel_turnover_vol_avg</th>\n",
-       "      <th>rel_flow_to_aum_vol_avg</th>\n",
-       "      <th>full_exit_count</th>\n",
-       "      <th>entry_count</th>\n",
-       "      <th>avg_holding_months_per_isin</th>\n",
-       "      <th>max_holding_months_per_isin</th>\n",
-       "      <th>corr_flow_fund_lag3</th>\n",
-       "      <th>corr_flow_fund_lag6</th>\n",
-       "      <th>corr_flow_bench_lag3</th>\n",
-       "      <th>corr_flow_bench_lag6</th>\n",
-       "      <th>corr_flow_rate_lag3</th>\n",
-       "      <th>corr_flow_rate_lag6</th>\n",
-       "      <th>flow_trend_12m</th>\n",
-       "      <th>aum_trend_12m</th>\n",
-       "      <th>drawdown_trend_12m</th>\n",
-       "      <th>beta_rate</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>23477.224308</td>\n",
-       "      <td>14880.4715</td>\n",
-       "      <td>88818.372</td>\n",
-       "      <td>67570.855</td>\n",
-       "      <td>-45677.1480</td>\n",
-       "      <td>1.244126e+06</td>\n",
-       "      <td>9570.200015</td>\n",
-       "      <td>1926.0</td>\n",
-       "      <td>9832.357264</td>\n",
-       "      <td>6.382330e+10</td>\n",
-       "      <td>5.151309e+11</td>\n",
-       "      <td>-2.560792e+10</td>\n",
-       "      <td>2.841988e+11</td>\n",
-       "      <td>7.507692</td>\n",
-       "      <td>26</td>\n",
-       "      <td>0.429844</td>\n",
-       "      <td>-0.576520</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>2.392243e-01</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>107</td>\n",
-       "      <td>4.063407e+11</td>\n",
-       "      <td>8.956214e+11</td>\n",
-       "      <td>8.915940e+11</td>\n",
-       "      <td>310</td>\n",
-       "      <td>344</td>\n",
-       "      <td>9.121495</td>\n",
-       "      <td>36</td>\n",
-       "      <td>0.007825</td>\n",
-       "      <td>0.008326</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.007546</td>\n",
-       "      <td>0.014510</td>\n",
-       "      <td>-1.886348e-02</td>\n",
-       "      <td>2920.070661</td>\n",
-       "      <td>-0.024467</td>\n",
-       "      <td>1.405196e+10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>200000076</td>\n",
-       "      <td>130</td>\n",
-       "      <td>119</td>\n",
-       "      <td>0.915385</td>\n",
-       "      <td>15840.000331</td>\n",
-       "      <td>9272.4710</td>\n",
-       "      <td>50732.461</td>\n",
-       "      <td>44837.203</td>\n",
-       "      <td>54791.9840</td>\n",
-       "      <td>2.314415e+05</td>\n",
-       "      <td>1780.319492</td>\n",
-       "      <td>518.0</td>\n",
-       "      <td>2838.000232</td>\n",
-       "      <td>1.457820e-01</td>\n",
-       "      <td>2.457632e-01</td>\n",
-       "      <td>-1.707090e-02</td>\n",
-       "      <td>2.717209e-01</td>\n",
-       "      <td>4.700000</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0.508681</td>\n",
-       "      <td>-0.415876</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.162029e-01</td>\n",
-       "      <td>0.949206</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>22</td>\n",
-       "      <td>6.276897e+10</td>\n",
-       "      <td>2.469731e+11</td>\n",
-       "      <td>2.481822e+11</td>\n",
-       "      <td>71</td>\n",
-       "      <td>81</td>\n",
-       "      <td>27.772727</td>\n",
-       "      <td>85</td>\n",
-       "      <td>0.015278</td>\n",
-       "      <td>0.096449</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.025181</td>\n",
-       "      <td>0.012844</td>\n",
-       "      <td>1.789020e-03</td>\n",
-       "      <td>548.538087</td>\n",
-       "      <td>-0.003843</td>\n",
-       "      <td>-1.283031e-01</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>200000082</td>\n",
-       "      <td>71</td>\n",
-       "      <td>71</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>85194.200239</td>\n",
-       "      <td>25820.0550</td>\n",
-       "      <td>316149.358</td>\n",
-       "      <td>131158.471</td>\n",
-       "      <td>14575.5560</td>\n",
-       "      <td>1.229616e+06</td>\n",
-       "      <td>17318.539183</td>\n",
-       "      <td>4807.0</td>\n",
-       "      <td>13472.042652</td>\n",
-       "      <td>4.056892e+11</td>\n",
-       "      <td>2.421685e+12</td>\n",
-       "      <td>-9.687862e+10</td>\n",
-       "      <td>8.402113e+11</td>\n",
-       "      <td>1.760563</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0.438873</td>\n",
-       "      <td>-0.588724</td>\n",
-       "      <td>0.034282</td>\n",
-       "      <td>5.851376e-01</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1.147803e+12</td>\n",
-       "      <td>1.251086e+12</td>\n",
-       "      <td>1.333111e+12</td>\n",
-       "      <td>100</td>\n",
-       "      <td>101</td>\n",
-       "      <td>6.944444</td>\n",
-       "      <td>19</td>\n",
-       "      <td>-0.019860</td>\n",
-       "      <td>-0.020797</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.022861</td>\n",
-       "      <td>-0.135696</td>\n",
-       "      <td>4.793703e+09</td>\n",
-       "      <td>-10443.281371</td>\n",
-       "      <td>0.033033</td>\n",
-       "      <td>7.995257e+10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>200000146</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>71298.603700</td>\n",
-       "      <td>15953.6355</td>\n",
-       "      <td>519508.539</td>\n",
-       "      <td>519508.539</td>\n",
-       "      <td>457533.3310</td>\n",
-       "      <td>1.150546e+06</td>\n",
-       "      <td>8850.350438</td>\n",
-       "      <td>4774.0</td>\n",
-       "      <td>10074.748210</td>\n",
-       "      <td>4.770901e+00</td>\n",
-       "      <td>2.930221e+01</td>\n",
-       "      <td>3.780801e+00</td>\n",
-       "      <td>2.870987e+01</td>\n",
-       "      <td>6.684615</td>\n",
-       "      <td>14</td>\n",
-       "      <td>0.517815</td>\n",
-       "      <td>-0.556667</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.887379e-15</td>\n",
-       "      <td>0.999302</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>33</td>\n",
-       "      <td>2.123548e+11</td>\n",
-       "      <td>3.670050e+11</td>\n",
-       "      <td>3.882699e+11</td>\n",
-       "      <td>237</td>\n",
-       "      <td>256</td>\n",
-       "      <td>26.333333</td>\n",
-       "      <td>54</td>\n",
-       "      <td>0.281071</td>\n",
-       "      <td>-0.020188</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.018482</td>\n",
-       "      <td>-0.018833</td>\n",
-       "      <td>-9.860558e-02</td>\n",
-       "      <td>24136.047846</td>\n",
-       "      <td>-0.049820</td>\n",
-       "      <td>-4.842472e+00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>200000147</td>\n",
-       "      <td>129</td>\n",
-       "      <td>129</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>35957.851907</td>\n",
-       "      <td>18047.3390</td>\n",
-       "      <td>174703.188</td>\n",
-       "      <td>8478.402</td>\n",
-       "      <td>677424.2191</td>\n",
-       "      <td>1.210845e+06</td>\n",
-       "      <td>9386.398474</td>\n",
-       "      <td>7523.0</td>\n",
-       "      <td>13914.783110</td>\n",
-       "      <td>1.775257e+00</td>\n",
-       "      <td>8.769726e+00</td>\n",
-       "      <td>1.150007e+00</td>\n",
-       "      <td>7.862819e+00</td>\n",
-       "      <td>13.162791</td>\n",
-       "      <td>27</td>\n",
-       "      <td>0.599433</td>\n",
-       "      <td>-0.448172</td>\n",
-       "      <td>0.013837</td>\n",
-       "      <td>9.514697e-01</td>\n",
-       "      <td>0.996847</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>78</td>\n",
-       "      <td>5.279255e+11</td>\n",
-       "      <td>6.892142e+11</td>\n",
-       "      <td>6.858178e+11</td>\n",
-       "      <td>596</td>\n",
-       "      <td>619</td>\n",
-       "      <td>21.769231</td>\n",
-       "      <td>49</td>\n",
-       "      <td>-0.026933</td>\n",
-       "      <td>-0.010493</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.204637</td>\n",
-       "      <td>-0.109646</td>\n",
-       "      <td>1.129487e+00</td>\n",
-       "      <td>2098.385472</td>\n",
-       "      <td>-0.012011</td>\n",
-       "      <td>-2.472128e+00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID  n_months  n_active_months  flow_freq  aum_qty_mean  \\\n",
-       "0                  18872       130              130   1.000000  23477.224308   \n",
-       "1              200000076       130              119   0.915385  15840.000331   \n",
-       "2              200000082        71               71   1.000000  85194.200239   \n",
-       "3              200000146       130              130   1.000000  71298.603700   \n",
-       "4              200000147       129              129   1.000000  35957.851907   \n",
-       "\n",
-       "   aum_qty_median  aum_qty_max  aum_qty_last  net_flow_qty_sum  \\\n",
-       "0      14880.4715    88818.372     67570.855       -45677.1480   \n",
-       "1       9272.4710    50732.461     44837.203        54791.9840   \n",
-       "2      25820.0550   316149.358    131158.471        14575.5560   \n",
-       "3      15953.6355   519508.539    519508.539       457533.3310   \n",
-       "4      18047.3390   174703.188      8478.402       677424.2191   \n",
-       "\n",
-       "   gross_flow_qty_sum  gross_flow_qty_mean  n_tx_total  net_flow_vol  \\\n",
-       "0        1.244126e+06          9570.200015      1926.0   9832.357264   \n",
-       "1        2.314415e+05          1780.319492       518.0   2838.000232   \n",
-       "2        1.229616e+06         17318.539183      4807.0  13472.042652   \n",
-       "3        1.150546e+06          8850.350438      4774.0  10074.748210   \n",
-       "4        1.210845e+06          9386.398474      7523.0  13914.783110   \n",
-       "\n",
-       "   turnover_mean  turnover_vol  flow_to_aum_mean  flow_to_aum_vol  \\\n",
-       "0   6.382330e+10  5.151309e+11     -2.560792e+10     2.841988e+11   \n",
-       "1   1.457820e-01  2.457632e-01     -1.707090e-02     2.717209e-01   \n",
-       "2   4.056892e+11  2.421685e+12     -9.687862e+10     8.402113e+11   \n",
-       "3   4.770901e+00  2.930221e+01      3.780801e+00     2.870987e+01   \n",
-       "4   1.775257e+00  8.769726e+00      1.150007e+00     7.862819e+00   \n",
-       "\n",
-       "   avg_n_isin_held  max_n_isin_held  sub_share_mean  red_share_mean  \\\n",
-       "0         7.507692               26        0.429844       -0.576520   \n",
-       "1         4.700000                9        0.508681       -0.415876   \n",
-       "2         1.760563                4        0.438873       -0.588724   \n",
-       "3         6.684615               14        0.517815       -0.556667   \n",
-       "4        13.162791               27        0.599433       -0.448172   \n",
-       "\n",
-       "   delta_rate_mean  aum_drawdown_last  aum_drawdown_max       region  \\\n",
-       "0         0.013723       2.392243e-01          1.000000  Switzerland   \n",
-       "1         0.013723       1.162029e-01          0.949206        Spain   \n",
-       "2         0.034282       5.851376e-01          1.000000        Italy   \n",
-       "3         0.013723       1.887379e-15          0.999302        Italy   \n",
-       "4         0.013837       9.514697e-01          0.996847        Italy   \n",
-       "\n",
-       "       country  n_isin_total  rel_turnover_mean_avg  rel_turnover_vol_avg  \\\n",
-       "0  Switzerland           107           4.063407e+11          8.956214e+11   \n",
-       "1        Spain            22           6.276897e+10          2.469731e+11   \n",
-       "2        Italy            18           1.147803e+12          1.251086e+12   \n",
-       "3        Italy            33           2.123548e+11          3.670050e+11   \n",
-       "4        Italy            78           5.279255e+11          6.892142e+11   \n",
-       "\n",
-       "   rel_flow_to_aum_vol_avg  full_exit_count  entry_count  \\\n",
-       "0             8.915940e+11              310          344   \n",
-       "1             2.481822e+11               71           81   \n",
-       "2             1.333111e+12              100          101   \n",
-       "3             3.882699e+11              237          256   \n",
-       "4             6.858178e+11              596          619   \n",
-       "\n",
-       "   avg_holding_months_per_isin  max_holding_months_per_isin  \\\n",
-       "0                     9.121495                           36   \n",
-       "1                    27.772727                           85   \n",
-       "2                     6.944444                           19   \n",
-       "3                    26.333333                           54   \n",
-       "4                    21.769231                           49   \n",
-       "\n",
-       "   corr_flow_fund_lag3  corr_flow_fund_lag6  corr_flow_bench_lag3  \\\n",
-       "0             0.007825             0.008326                   NaN   \n",
-       "1             0.015278             0.096449                   NaN   \n",
-       "2            -0.019860            -0.020797                   NaN   \n",
-       "3             0.281071            -0.020188                   NaN   \n",
-       "4            -0.026933            -0.010493                   NaN   \n",
-       "\n",
-       "   corr_flow_bench_lag6  corr_flow_rate_lag3  corr_flow_rate_lag6  \\\n",
-       "0                   NaN             0.007546             0.014510   \n",
-       "1                   NaN            -0.025181             0.012844   \n",
-       "2                   NaN             0.022861            -0.135696   \n",
-       "3                   NaN            -0.018482            -0.018833   \n",
-       "4                   NaN            -0.204637            -0.109646   \n",
-       "\n",
-       "   flow_trend_12m  aum_trend_12m  drawdown_trend_12m     beta_rate  \n",
-       "0   -1.886348e-02    2920.070661           -0.024467  1.405196e+10  \n",
-       "1    1.789020e-03     548.538087           -0.003843 -1.283031e-01  \n",
-       "2    4.793703e+09  -10443.281371            0.033033  7.995257e+10  \n",
-       "3   -9.860558e-02   24136.047846           -0.049820 -4.842472e+00  \n",
-       "4    1.129487e+00    2098.385472           -0.012011 -2.472128e+00  "
-      ]
-     },
-     "execution_count": 306,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "def compute_trend(y):\n",
-    "    y = np.asarray(y, dtype=float)\n",
-    "    if len(y) < 4:\n",
-    "        return np.nan\n",
-    "    x = np.arange(len(y)).reshape(-1, 1)\n",
-    "    mask = np.isfinite(y)\n",
-    "    if mask.sum() < 4:\n",
-    "        return np.nan\n",
-    "    reg = LinearRegression().fit(x[mask], y[mask])\n",
-    "    return reg.coef_[0]\n",
-    "\n",
-    "def compute_beta(y, x):\n",
-    "    y = np.asarray(y, dtype=float)\n",
-    "    x = np.asarray(x, dtype=float)\n",
-    "    mask = np.isfinite(y) & np.isfinite(x)\n",
-    "    if mask.sum() < 6:\n",
-    "        return np.nan\n",
-    "    reg = LinearRegression().fit(x[mask].reshape(-1, 1), y[mask])\n",
-    "    return reg.coef_[0]\n",
-    "\n",
-    "rows = []\n",
-    "\n",
-    "for acc, g in df_month.groupby(ID_COL):\n",
-    "    g = g.sort_values(\"month\")\n",
-    "\n",
-    "    flow = g[\"flow_to_aum_m\"].values\n",
-    "    aum = g[\"aum_qty\"].values\n",
-    "    delta_rate = g[\"delta_rate_m\"].values\n",
-    "    drawdown = g[\"aum_drawdown\"].values\n",
-    "\n",
-    "    rows.append({\n",
-    "        ID_COL: acc,\n",
-    "        \"flow_trend_12m\": compute_trend(flow[-12:]),\n",
-    "        \"aum_trend_12m\": compute_trend(aum[-12:]),\n",
-    "        \"drawdown_trend_12m\": compute_trend(drawdown[-12:]),\n",
-    "        \"beta_rate\": compute_beta(flow, delta_rate)\n",
-    "    })\n",
-    "\n",
-    "df_beta = pd.DataFrame(rows)\n",
-    "\n",
-    "df_client = df_client.merge(df_beta, on=ID_COL, how=\"left\")\n",
-    "\n",
-    "print(df_client.shape)\n",
-    "df_client.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 307,
-   "id": "4e4ea46f-5c3d-4a4a-b79c-ff5ae8973bad",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "seg_2D\n",
-      "Highly active (high int, high freq)             137\n",
-      "Dormant (low int, low freq)                     134\n",
-      "Small rebalancers (low int, high freq)           80\n",
-      "Occasional large movers (high int, low freq)     80\n",
-      "Name: count, dtype: int64\n",
-      "thr_int: 5.739688017572092 thr_freq: 0.8\n"
-     ]
-    }
-   ],
-   "source": [
-    "df_client[\"rel_intensity_total\"] = df_client[\"gross_flow_qty_sum\"]/df_client[\"aum_qty_mean\"]  # turnover proxy\n",
-    "df_client[\"frequency\"] = df_client[\"flow_freq\"]                    # share of active months\n",
-    "\n",
-    "# Thresholds: medians (simple + explainable)\n",
-    "thr_int = df_client[\"rel_intensity_total\"].median()\n",
-    "thr_freq = df_client[\"frequency\"].median()\n",
-    "\n",
-    "def quadrant(row):\n",
-    "    low_int = row[\"rel_intensity_total\"] < thr_int\n",
-    "    low_frq = row[\"frequency\"] < thr_freq\n",
-    "\n",
-    "    if low_int and low_frq:\n",
-    "        return \"Dormant (low int, low freq)\"\n",
-    "    if low_int and (not low_frq):\n",
-    "        return \"Small rebalancers (low int, high freq)\"\n",
-    "    if (not low_int) and low_frq:\n",
-    "        return \"Occasional large movers (high int, low freq)\"\n",
-    "    return \"Highly active (high int, high freq)\"\n",
-    "\n",
-    "df_client[\"seg_2D\"] = df_client.apply(quadrant, axis=1)\n",
-    "\n",
-    "print(df_client[\"seg_2D\"].value_counts())\n",
-    "print(\"thr_int:\", thr_int, \"thr_freq:\", thr_freq)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 308,
-   "id": "09943df7-8c78-4c51-b387-866c5cddd392",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "plt.style.use('default')\n",
-    "plt.figure()\n",
-    "for name, g in df_client.groupby(\"seg_2D\"):\n",
-    "    plt.scatter(g[\"frequency\"], g[\"rel_intensity_total\"], s=10, label=name)\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_int, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency (400+ Accounts)\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 309,
-   "id": "9eb5fbb8-1a7b-434c-ba36-3c2a560b4cb1",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Nb clients = 404\n",
-      "Nb features = 35\n",
-      "['log_aum_qty_mean', 'flow_freq', 'gross_flow_to_aum', 'flow_to_aum_vol', 'activity_intensity', 'n_tx_total', 'avg_n_isin_held', 'n_isin_total', 'avg_holding_months_per_isin', 'exit_rate_per_isin', 'flow_direction_balance', 'aum_drawdown_last', 'corr_flow_fund_lag3', 'corr_flow_fund_lag6', 'corr_flow_rate_lag3', 'country_grp_France', 'country_grp_Germany', 'country_grp_Italy', 'country_grp_Luxembourg', 'country_grp_Monaco', 'country_grp_Other', 'country_grp_Spain', 'country_grp_Sweden', 'country_grp_Switzerland', 'country_grp_United Kingdom', 'region_grp_France', 'region_grp_Germany', 'region_grp_International', 'region_grp_Italy', 'region_grp_Luxembourg', 'region_grp_Nordics', 'region_grp_Other', 'region_grp_Spain', 'region_grp_Switzerland', 'region_grp_United Kingdom']\n"
-     ]
-    }
-   ],
-   "source": [
-    "dfc = df_client.copy()\n",
-    "\n",
-    "dfc[\"gross_flow_to_aum\"] = dfc[\"gross_flow_qty_sum\"] / (dfc[\"aum_qty_mean\"].abs() + EPS)\n",
-    "dfc[\"avg_ticket\"] = dfc[\"gross_flow_qty_sum\"] / (dfc[\"n_tx_total\"] + EPS)\n",
-    "dfc[\"flow_direction_balance\"] = dfc[\"net_flow_qty_sum\"] / (dfc[\"gross_flow_qty_sum\"] + EPS)\n",
-    "dfc[\"redemption_bias\"] = dfc[\"red_share_mean\"] - dfc[\"sub_share_mean\"]\n",
-    "dfc[\"activity_intensity\"] = dfc[\"n_tx_total\"] / (dfc[\"n_months\"] + EPS)\n",
-    "dfc[\"exit_rate_per_isin\"] = dfc[\"full_exit_count\"] / (dfc[\"n_isin_total\"] + EPS)\n",
-    "dfc[\"entry_rate_per_isin\"] = dfc[\"entry_count\"] / (dfc[\"n_isin_total\"] + EPS)\n",
-    "dfc[\"aum_final_to_peak\"] = dfc[\"aum_qty_last\"] / (dfc[\"aum_qty_max\"] + EPS)\n",
-    "\n",
-    "for col in [\"aum_qty_mean\", \"gross_flow_qty_sum\", \"n_tx_total\", \"avg_ticket\", \"gross_flow_qty_mean\"]:\n",
-    "    dfc[f\"log_{col}\"] = np.log1p(dfc[col].clip(lower=0))\n",
-    "\n",
-    "dfc = dfc[(dfc[\"n_months\"] >= 6) & (dfc[\"aum_qty_mean\"] > 0)].copy()\n",
-    "\n",
-    "top_countries = dfc[\"country\"].fillna(\"Unknown\").value_counts().head(10).index\n",
-    "top_regions = dfc[\"region\"].fillna(\"Unknown\").value_counts().head(10).index\n",
-    "\n",
-    "dfc[\"country_grp\"] = np.where(dfc[\"country\"].isin(top_countries), dfc[\"country\"], \"Other\")\n",
-    "dfc[\"region_grp\"] = np.where(dfc[\"region\"].isin(top_regions), dfc[\"region\"], \"Other\")\n",
-    "\n",
-    "base_features = [\n",
-    "    \"log_aum_qty_mean\",\n",
-    "    \"flow_freq\",\n",
-    "    \"gross_flow_to_aum\",\n",
-    "    #\"turnover_vol\",\n",
-    "    \"flow_to_aum_vol\",\n",
-    "    \"activity_intensity\",\n",
-    "    \"n_tx_total\",\n",
-    "    \"avg_n_isin_held\",\n",
-    "    \"n_isin_total\",\n",
-    "    \"avg_holding_months_per_isin\",\n",
-    "    \"exit_rate_per_isin\",\n",
-    "    \"flow_direction_balance\",\n",
-    "    #\"redemption_bias\",\n",
-    "    \"aum_drawdown_last\",\n",
-    "    \"corr_flow_fund_lag3\",\n",
-    "    \"corr_flow_fund_lag6\",\n",
-    "    \"corr_flow_rate_lag3\",\n",
-    "    #\"corr_flow_rate_lag6\",\n",
-    "    #\"corr_flow_bench_lag3\",\n",
-    "    #\"corr_flow_bench_lag6\"\n",
-    "    \n",
-    "]\n",
-    "\n",
-    "base_features2 = [\n",
-    "    \"log_aum_qty_mean\",\n",
-    "    \"log_gross_flow_qty_mean\",\n",
-    "    \"n_tx_total\",\n",
-    "    \"flow_freq\",\n",
-    "    \"gross_flow_to_aum\",\n",
-    "    \"net_flow_vol\",\n",
-    "    #\"avg_n_isin_held\",\n",
-    "    #\"flow_direction_balance\",\n",
-    "]\n",
-    "\n",
-    "base_features = [c for c in base_features if c in dfc.columns]\n",
-    "\n",
-    "X_num = dfc[base_features].replace([np.inf, -np.inf], np.nan).fillna(dfc[base_features].median())\n",
-    "X_cat = pd.get_dummies(dfc[[\"country_grp\", \"region_grp\"]].fillna(\"Unknown\"), drop_first=True)\n",
-    "\n",
-    "X = pd.concat([X_num.reset_index(drop=True), X_cat.reset_index(drop=True)], axis=1)\n",
-    "\n",
-    "scaler = StandardScaler()\n",
-    "scaler2 = RobustScaler()\n",
-    "\n",
-    "X_scaled = scaler.fit_transform(X_num)\n",
-    "X_scaled2 = scaler2.fit_transform(X_num)\n",
-    "\n",
-    "print(\"Nb clients =\", X.shape[0])\n",
-    "print(\"Nb features =\", X.shape[1])\n",
-    "print(X.columns.tolist())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 310,
-   "id": "5f006fc0-d0e7-47b2-94f0-7e3bbdf91097",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>k</th>\n",
-       "      <th>inertia</th>\n",
-       "      <th>silhouette</th>\n",
-       "      <th>davies_bouldin</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2</td>\n",
-       "      <td>5178.843770</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>3</td>\n",
-       "      <td>4741.629415</td>\n",
-       "      <td>0.132598</td>\n",
-       "      <td>2.166657</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>4</td>\n",
-       "      <td>4394.702026</td>\n",
-       "      <td>0.124785</td>\n",
-       "      <td>2.073192</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>5</td>\n",
-       "      <td>4115.441587</td>\n",
-       "      <td>0.133249</td>\n",
-       "      <td>1.787169</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>6</td>\n",
-       "      <td>3865.546167</td>\n",
-       "      <td>0.127431</td>\n",
-       "      <td>1.759628</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>7</td>\n",
-       "      <td>3679.273300</td>\n",
-       "      <td>0.135589</td>\n",
-       "      <td>1.702516</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>8</td>\n",
-       "      <td>3448.452307</td>\n",
-       "      <td>0.139533</td>\n",
-       "      <td>1.634761</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>9</td>\n",
-       "      <td>3321.805201</td>\n",
-       "      <td>0.121927</td>\n",
-       "      <td>1.709083</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>10</td>\n",
-       "      <td>3167.889248</td>\n",
-       "      <td>0.128239</td>\n",
-       "      <td>1.605403</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>11</td>\n",
-       "      <td>3048.339811</td>\n",
-       "      <td>0.134592</td>\n",
-       "      <td>1.620711</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>12</td>\n",
-       "      <td>2931.256053</td>\n",
-       "      <td>0.139258</td>\n",
-       "      <td>1.550705</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>13</td>\n",
-       "      <td>2847.001592</td>\n",
-       "      <td>0.144681</td>\n",
-       "      <td>1.537896</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>14</td>\n",
-       "      <td>2742.565943</td>\n",
-       "      <td>0.152159</td>\n",
-       "      <td>1.455955</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>15</td>\n",
-       "      <td>2647.758120</td>\n",
-       "      <td>0.148589</td>\n",
-       "      <td>1.469929</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>16</td>\n",
-       "      <td>2576.736131</td>\n",
-       "      <td>0.132343</td>\n",
-       "      <td>1.498820</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>17</td>\n",
-       "      <td>2520.993893</td>\n",
-       "      <td>0.137837</td>\n",
-       "      <td>1.491089</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>18</td>\n",
-       "      <td>2443.613239</td>\n",
-       "      <td>0.135204</td>\n",
-       "      <td>1.450617</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>19</td>\n",
-       "      <td>2368.363384</td>\n",
-       "      <td>0.151232</td>\n",
-       "      <td>1.428163</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>20</td>\n",
-       "      <td>2348.022385</td>\n",
-       "      <td>0.134130</td>\n",
-       "      <td>1.432542</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     k      inertia  silhouette  davies_bouldin\n",
-       "0    2  5178.843770         NaN             NaN\n",
-       "1    3  4741.629415    0.132598        2.166657\n",
-       "2    4  4394.702026    0.124785        2.073192\n",
-       "3    5  4115.441587    0.133249        1.787169\n",
-       "4    6  3865.546167    0.127431        1.759628\n",
-       "5    7  3679.273300    0.135589        1.702516\n",
-       "6    8  3448.452307    0.139533        1.634761\n",
-       "7    9  3321.805201    0.121927        1.709083\n",
-       "8   10  3167.889248    0.128239        1.605403\n",
-       "9   11  3048.339811    0.134592        1.620711\n",
-       "10  12  2931.256053    0.139258        1.550705\n",
-       "11  13  2847.001592    0.144681        1.537896\n",
-       "12  14  2742.565943    0.152159        1.455955\n",
-       "13  15  2647.758120    0.148589        1.469929\n",
-       "14  16  2576.736131    0.132343        1.498820\n",
-       "15  17  2520.993893    0.137837        1.491089\n",
-       "16  18  2443.613239    0.135204        1.450617\n",
-       "17  19  2368.363384    0.151232        1.428163\n",
-       "18  20  2348.022385    0.134130        1.432542"
-      ]
-     },
-     "execution_count": 310,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rows = []\n",
-    "\n",
-    "for k in range(2, 21):\n",
-    "    km = KMeans(n_clusters=k, n_init=30, random_state=42)\n",
-    "    labels = km.fit_predict(X_scaled)\n",
-    "\n",
-    "    row = {\n",
-    "        \"k\": k,\n",
-    "        \"inertia\": km.inertia_\n",
-    "    }\n",
-    "\n",
-    "    if k >= 3:\n",
-    "        row[\"silhouette\"] = silhouette_score(X_scaled, labels)\n",
-    "        row[\"davies_bouldin\"] = davies_bouldin_score(X_scaled, labels)\n",
-    "    else:\n",
-    "        row[\"silhouette\"] = np.nan\n",
-    "        row[\"davies_bouldin\"] = np.nan\n",
-    "\n",
-    "    rows.append(row)\n",
-    "\n",
-    "df_kdiag = pd.DataFrame(rows)\n",
-    "df_kdiag"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 311,
-   "id": "0198c399-f532-44c5-91a7-d4e0a27887ec",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1600x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 3, figsize=(16, 4))\n",
-    "\n",
-    "axes[0].plot(df_kdiag[\"k\"], df_kdiag[\"inertia\"], marker=\"o\")\n",
-    "axes[0].set_title(\"Elbow / Inertia\")\n",
-    "axes[0].set_xlabel(\"K\")\n",
-    "\n",
-    "axes[1].plot(df_kdiag[\"k\"], df_kdiag[\"silhouette\"], marker=\"o\")\n",
-    "axes[1].set_title(\"Silhouette\")\n",
-    "axes[1].set_xlabel(\"K\")\n",
-    "\n",
-    "axes[2].plot(df_kdiag[\"k\"], df_kdiag[\"davies_bouldin\"], marker=\"o\")\n",
-    "axes[2].set_title(\"Davies-Bouldin\")\n",
-    "axes[2].set_xlabel(\"K\")\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 312,
-   "id": "5ba1f3bf-7fd7-49aa-8b28-0ca0f2658bf0",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "K=2 | silhouette=0.2357 | davies_bouldin=1.8611\n",
-      "K=4 | silhouette=0.1262 | davies_bouldin=2.0735\n",
-      "K=5 | silhouette=0.1332 | davies_bouldin=1.7872\n"
-     ]
-    }
-   ],
-   "source": [
-    "RESULTS = {}\n",
-    "\n",
-    "for k in [2, 4, 5]:\n",
-    "    km = KMeans(n_clusters=k, n_init=50, random_state=42)\n",
-    "    labels = km.fit_predict(X_scaled)\n",
-    "    dfc[f\"cluster_k{k}\"] = labels\n",
-    "\n",
-    "    RESULTS[k] = {\n",
-    "        \"model\": km,\n",
-    "        \"labels\": labels,\n",
-    "        \"silhouette\": silhouette_score(X_scaled, labels),\n",
-    "        \"davies_bouldin\": davies_bouldin_score(X_scaled, labels)\n",
-    "    }\n",
-    "\n",
-    "for k in [2, 4, 5]:\n",
-    "    print(f\"K={k} | silhouette={RESULTS[k]['silhouette']:.4f} | davies_bouldin={RESULTS[k]['davies_bouldin']:.4f}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 313,
-   "id": "0052976f-e30f-4f84-b720-6fa4a9078aba",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== K=2 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_mean_med</th>\n",
-       "      <th>gross_flow_to_aum_med</th>\n",
-       "      <th>flow_freq_med</th>\n",
-       "      <th>n_tx_total_med</th>\n",
-       "      <th>avg_n_isin_held_med</th>\n",
-       "      <th>n_isin_total_med</th>\n",
-       "      <th>avg_holding_months_per_isin_med</th>\n",
-       "      <th>exit_rate_per_isin_med</th>\n",
-       "      <th>flow_direction_balance_med</th>\n",
-       "      <th>redemption_bias_med</th>\n",
-       "      <th>aum_drawdown_last_med</th>\n",
-       "      <th>aum_final_to_peak_med</th>\n",
-       "      <th>corr_flow_fund_lag3_med</th>\n",
-       "      <th>corr_flow_fund_lag6_med</th>\n",
-       "      <th>corr_flow_rate_lag3_med</th>\n",
-       "      <th>corr_flow_rate_lag6_med</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k2</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>327</td>\n",
-       "      <td>21039.415608</td>\n",
-       "      <td>5.516534</td>\n",
-       "      <td>0.730769</td>\n",
-       "      <td>469.0</td>\n",
-       "      <td>2.347826</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>1.416667</td>\n",
-       "      <td>0.042861</td>\n",
-       "      <td>-0.762943</td>\n",
-       "      <td>0.818922</td>\n",
-       "      <td>0.181078</td>\n",
-       "      <td>0.002365</td>\n",
-       "      <td>0.004122</td>\n",
-       "      <td>0.000339</td>\n",
-       "      <td>0.000122</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>77</td>\n",
-       "      <td>133315.879515</td>\n",
-       "      <td>10.375358</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>8861.0</td>\n",
-       "      <td>14.769231</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>34.765306</td>\n",
-       "      <td>2.515152</td>\n",
-       "      <td>0.026428</td>\n",
-       "      <td>-1.057873</td>\n",
-       "      <td>0.505165</td>\n",
-       "      <td>0.494835</td>\n",
-       "      <td>0.041515</td>\n",
-       "      <td>0.023970</td>\n",
-       "      <td>-0.045190</td>\n",
-       "      <td>-0.046754</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            n_clients  aum_qty_mean_med  gross_flow_to_aum_med  flow_freq_med  \\\n",
-       "cluster_k2                                                                      \n",
-       "0                 327      21039.415608               5.516534       0.730769   \n",
-       "1                  77     133315.879515              10.375358       1.000000   \n",
-       "\n",
-       "            n_tx_total_med  avg_n_isin_held_med  n_isin_total_med  \\\n",
-       "cluster_k2                                                          \n",
-       "0                    469.0             2.347826              20.0   \n",
-       "1                   8861.0            14.769231              56.0   \n",
-       "\n",
-       "            avg_holding_months_per_isin_med  exit_rate_per_isin_med  \\\n",
-       "cluster_k2                                                            \n",
-       "0                                 10.000000                1.416667   \n",
-       "1                                 34.765306                2.515152   \n",
-       "\n",
-       "            flow_direction_balance_med  redemption_bias_med  \\\n",
-       "cluster_k2                                                    \n",
-       "0                             0.042861            -0.762943   \n",
-       "1                             0.026428            -1.057873   \n",
-       "\n",
-       "            aum_drawdown_last_med  aum_final_to_peak_med  \\\n",
-       "cluster_k2                                                 \n",
-       "0                        0.818922               0.181078   \n",
-       "1                        0.505165               0.494835   \n",
-       "\n",
-       "            corr_flow_fund_lag3_med  corr_flow_fund_lag6_med  \\\n",
-       "cluster_k2                                                     \n",
-       "0                          0.002365                 0.004122   \n",
-       "1                          0.041515                 0.023970   \n",
-       "\n",
-       "            corr_flow_rate_lag3_med  corr_flow_rate_lag6_med  \n",
-       "cluster_k2                                                    \n",
-       "0                          0.000339                 0.000122  \n",
-       "1                         -0.045190                -0.046754  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== K=4 =====\n"
-     ]
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-     "data": {
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_mean_med</th>\n",
-       "      <th>gross_flow_to_aum_med</th>\n",
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-       "      <th>corr_flow_rate_lag6_med</th>\n",
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-       "    <tr>\n",
-       "      <th>cluster_k4</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "      <th></th>\n",
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-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>165</td>\n",
-       "      <td>14436.315829</td>\n",
-       "      <td>17.218849</td>\n",
-       "      <td>0.949153</td>\n",
-       "      <td>1252.0</td>\n",
-       "      <td>2.527559</td>\n",
-       "      <td>29.0</td>\n",
-       "      <td>7.756757</td>\n",
-       "      <td>3.093750</td>\n",
-       "      <td>0.018779</td>\n",
-       "      <td>-0.996486</td>\n",
-       "      <td>0.916665</td>\n",
-       "      <td>0.083335</td>\n",
-       "      <td>0.000208</td>\n",
-       "      <td>0.001381</td>\n",
-       "      <td>-0.002783</td>\n",
-       "      <td>-0.003603</td>\n",
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-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>131</td>\n",
-       "      <td>28566.131306</td>\n",
-       "      <td>0.894162</td>\n",
-       "      <td>0.123077</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>1.650000</td>\n",
-       "      <td>15.0</td>\n",
-       "      <td>8.500000</td>\n",
-       "      <td>0.619718</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>-0.127257</td>\n",
-       "      <td>0.792318</td>\n",
-       "      <td>0.207682</td>\n",
-       "      <td>-0.000988</td>\n",
-       "      <td>0.000061</td>\n",
-       "      <td>0.014765</td>\n",
-       "      <td>0.015976</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>86</td>\n",
-       "      <td>76209.164582</td>\n",
-       "      <td>4.871121</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2339.0</td>\n",
-       "      <td>11.116667</td>\n",
-       "      <td>25.5</td>\n",
-       "      <td>40.643704</td>\n",
-       "      <td>0.750000</td>\n",
-       "      <td>0.154712</td>\n",
-       "      <td>-1.021555</td>\n",
-       "      <td>0.216071</td>\n",
-       "      <td>0.783929</td>\n",
-       "      <td>0.030799</td>\n",
-       "      <td>0.022152</td>\n",
-       "      <td>-0.036992</td>\n",
-       "      <td>-0.046754</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>22</td>\n",
-       "      <td>335180.430008</td>\n",
-       "      <td>15.652972</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>20193.0</td>\n",
-       "      <td>13.237500</td>\n",
-       "      <td>81.0</td>\n",
-       "      <td>19.072084</td>\n",
-       "      <td>5.158364</td>\n",
-       "      <td>0.028313</td>\n",
-       "      <td>-1.100355</td>\n",
-       "      <td>0.651444</td>\n",
-       "      <td>0.348556</td>\n",
-       "      <td>0.096447</td>\n",
-       "      <td>0.077212</td>\n",
-       "      <td>-0.029813</td>\n",
-       "      <td>-0.031076</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
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-      "text/plain": [
-       "            n_clients  aum_qty_mean_med  gross_flow_to_aum_med  flow_freq_med  \\\n",
-       "cluster_k4                                                                      \n",
-       "3                 165      14436.315829              17.218849       0.949153   \n",
-       "0                 131      28566.131306               0.894162       0.123077   \n",
-       "2                  86      76209.164582               4.871121       1.000000   \n",
-       "1                  22     335180.430008              15.652972       1.000000   \n",
-       "\n",
-       "            n_tx_total_med  avg_n_isin_held_med  n_isin_total_med  \\\n",
-       "cluster_k4                                                          \n",
-       "3                   1252.0             2.527559              29.0   \n",
-       "0                     14.0             1.650000              15.0   \n",
-       "2                   2339.0            11.116667              25.5   \n",
-       "1                  20193.0            13.237500              81.0   \n",
-       "\n",
-       "            avg_holding_months_per_isin_med  exit_rate_per_isin_med  \\\n",
-       "cluster_k4                                                            \n",
-       "3                                  7.756757                3.093750   \n",
-       "0                                  8.500000                0.619718   \n",
-       "2                                 40.643704                0.750000   \n",
-       "1                                 19.072084                5.158364   \n",
-       "\n",
-       "            flow_direction_balance_med  redemption_bias_med  \\\n",
-       "cluster_k4                                                    \n",
-       "3                             0.018779            -0.996486   \n",
-       "0                             0.000000            -0.127257   \n",
-       "2                             0.154712            -1.021555   \n",
-       "1                             0.028313            -1.100355   \n",
-       "\n",
-       "            aum_drawdown_last_med  aum_final_to_peak_med  \\\n",
-       "cluster_k4                                                 \n",
-       "3                        0.916665               0.083335   \n",
-       "0                        0.792318               0.207682   \n",
-       "2                        0.216071               0.783929   \n",
-       "1                        0.651444               0.348556   \n",
-       "\n",
-       "            corr_flow_fund_lag3_med  corr_flow_fund_lag6_med  \\\n",
-       "cluster_k4                                                     \n",
-       "3                          0.000208                 0.001381   \n",
-       "0                         -0.000988                 0.000061   \n",
-       "2                          0.030799                 0.022152   \n",
-       "1                          0.096447                 0.077212   \n",
-       "\n",
-       "            corr_flow_rate_lag3_med  corr_flow_rate_lag6_med  \n",
-       "cluster_k4                                                    \n",
-       "3                         -0.002783                -0.003603  \n",
-       "0                          0.014765                 0.015976  \n",
-       "2                         -0.036992                -0.046754  \n",
-       "1                         -0.029813                -0.031076  "
-      ]
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-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== K=5 =====\n"
-     ]
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-       "    <tr>\n",
-       "      <th>cluster_k5</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>168</td>\n",
-       "      <td>12566.405685</td>\n",
-       "      <td>16.253847</td>\n",
-       "      <td>0.911577</td>\n",
-       "      <td>1094.5</td>\n",
-       "      <td>2.524180</td>\n",
-       "      <td>28.5</td>\n",
-       "      <td>8.166667</td>\n",
-       "      <td>2.955196</td>\n",
-       "      <td>0.036286</td>\n",
-       "      <td>-0.970398</td>\n",
-       "      <td>0.914496</td>\n",
-       "      <td>0.085504</td>\n",
-       "      <td>0.001715</td>\n",
-       "      <td>0.003794</td>\n",
-       "      <td>-0.000844</td>\n",
-       "      <td>0.001543</td>\n",
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-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>111</td>\n",
-       "      <td>37555.632000</td>\n",
-       "      <td>0.661205</td>\n",
-       "      <td>0.076923</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>1.511111</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>8.290323</td>\n",
-       "      <td>0.586207</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>-0.076923</td>\n",
-       "      <td>0.818922</td>\n",
-       "      <td>0.181078</td>\n",
-       "      <td>-0.002355</td>\n",
-       "      <td>-0.000290</td>\n",
-       "      <td>0.011330</td>\n",
-       "      <td>0.021365</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>90</td>\n",
-       "      <td>59767.645164</td>\n",
-       "      <td>4.216773</td>\n",
-       "      <td>0.995868</td>\n",
-       "      <td>1725.5</td>\n",
-       "      <td>10.811538</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>39.349432</td>\n",
-       "      <td>0.708536</td>\n",
-       "      <td>0.177072</td>\n",
-       "      <td>-1.017685</td>\n",
-       "      <td>0.181774</td>\n",
-       "      <td>0.818226</td>\n",
-       "      <td>0.029066</td>\n",
-       "      <td>0.024737</td>\n",
-       "      <td>-0.025887</td>\n",
-       "      <td>-0.038057</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30</td>\n",
-       "      <td>212211.195227</td>\n",
-       "      <td>15.786289</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>17459.5</td>\n",
-       "      <td>9.768395</td>\n",
-       "      <td>77.5</td>\n",
-       "      <td>17.601779</td>\n",
-       "      <td>5.770464</td>\n",
-       "      <td>0.028313</td>\n",
-       "      <td>-1.083467</td>\n",
-       "      <td>0.691744</td>\n",
-       "      <td>0.308256</td>\n",
-       "      <td>0.062011</td>\n",
-       "      <td>0.052249</td>\n",
-       "      <td>-0.031718</td>\n",
-       "      <td>-0.037537</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>5</td>\n",
-       "      <td>114674.703704</td>\n",
-       "      <td>7.607274</td>\n",
-       "      <td>0.944444</td>\n",
-       "      <td>1221.0</td>\n",
-       "      <td>0.861111</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>3.800000</td>\n",
-       "      <td>2.600000</td>\n",
-       "      <td>-0.049426</td>\n",
-       "      <td>-1.237358</td>\n",
-       "      <td>0.999914</td>\n",
-       "      <td>0.000086</td>\n",
-       "      <td>-0.035506</td>\n",
-       "      <td>-0.027489</td>\n",
-       "      <td>-0.000900</td>\n",
-       "      <td>-0.036517</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
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-      "text/plain": [
-       "            n_clients  aum_qty_mean_med  gross_flow_to_aum_med  flow_freq_med  \\\n",
-       "cluster_k5                                                                      \n",
-       "1                 168      12566.405685              16.253847       0.911577   \n",
-       "3                 111      37555.632000               0.661205       0.076923   \n",
-       "4                  90      59767.645164               4.216773       0.995868   \n",
-       "0                  30     212211.195227              15.786289       1.000000   \n",
-       "2                   5     114674.703704               7.607274       0.944444   \n",
-       "\n",
-       "            n_tx_total_med  avg_n_isin_held_med  n_isin_total_med  \\\n",
-       "cluster_k5                                                          \n",
-       "1                   1094.5             2.524180              28.5   \n",
-       "3                      6.0             1.511111              12.0   \n",
-       "4                   1725.5            10.811538              24.0   \n",
-       "0                  17459.5             9.768395              77.5   \n",
-       "2                   1221.0             0.861111              12.0   \n",
-       "\n",
-       "            avg_holding_months_per_isin_med  exit_rate_per_isin_med  \\\n",
-       "cluster_k5                                                            \n",
-       "1                                  8.166667                2.955196   \n",
-       "3                                  8.290323                0.586207   \n",
-       "4                                 39.349432                0.708536   \n",
-       "0                                 17.601779                5.770464   \n",
-       "2                                  3.800000                2.600000   \n",
-       "\n",
-       "            flow_direction_balance_med  redemption_bias_med  \\\n",
-       "cluster_k5                                                    \n",
-       "1                             0.036286            -0.970398   \n",
-       "3                             0.000000            -0.076923   \n",
-       "4                             0.177072            -1.017685   \n",
-       "0                             0.028313            -1.083467   \n",
-       "2                            -0.049426            -1.237358   \n",
-       "\n",
-       "            aum_drawdown_last_med  aum_final_to_peak_med  \\\n",
-       "cluster_k5                                                 \n",
-       "1                        0.914496               0.085504   \n",
-       "3                        0.818922               0.181078   \n",
-       "4                        0.181774               0.818226   \n",
-       "0                        0.691744               0.308256   \n",
-       "2                        0.999914               0.000086   \n",
-       "\n",
-       "            corr_flow_fund_lag3_med  corr_flow_fund_lag6_med  \\\n",
-       "cluster_k5                                                     \n",
-       "1                          0.001715                 0.003794   \n",
-       "3                         -0.002355                -0.000290   \n",
-       "4                          0.029066                 0.024737   \n",
-       "0                          0.062011                 0.052249   \n",
-       "2                         -0.035506                -0.027489   \n",
-       "\n",
-       "            corr_flow_rate_lag3_med  corr_flow_rate_lag6_med  \n",
-       "cluster_k5                                                    \n",
-       "1                         -0.000844                 0.001543  \n",
-       "3                          0.011330                 0.021365  \n",
-       "4                         -0.025887                -0.038057  \n",
-       "0                         -0.031718                -0.037537  \n",
-       "2                         -0.000900                -0.036517  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "profile_vars = [\n",
-    "    \"aum_qty_mean\",\n",
-    "    \"gross_flow_to_aum\",\n",
-    "    \"flow_freq\",\n",
-    "    \"n_tx_total\",\n",
-    "    \"avg_n_isin_held\",\n",
-    "    \"n_isin_total\",\n",
-    "    \"avg_holding_months_per_isin\",\n",
-    "    \"exit_rate_per_isin\",\n",
-    "    \"flow_direction_balance\",\n",
-    "    \"redemption_bias\",\n",
-    "    \"aum_drawdown_last\",\n",
-    "    \"aum_final_to_peak\",\n",
-    "    \"corr_flow_fund_lag3\",\n",
-    "    \"corr_flow_fund_lag6\",\n",
-    "    \"corr_flow_rate_lag3\",\n",
-    "    \"corr_flow_rate_lag6\",\n",
-    "    #\"corr_flow_bench_lag3\",\n",
-    "    #\"corr_flow_bench_lag6\"\n",
-    "]\n",
-    "\n",
-    "profile_vars2 = [\n",
-    "    \"aum_qty_mean\",\n",
-    "    \"gross_flow_to_aum\",\n",
-    "    \"flow_freq\",\n",
-    "    \"n_tx_total\",\n",
-    "    \"log_gross_flow_qty_mean\",\n",
-    "    \"net_flow_vol\",\n",
-    "]\n",
-    "\n",
-    "profile_vars = [c for c in profile_vars if c in dfc.columns]\n",
-    "\n",
-    "for k in [2, 4, 5]:\n",
-    "    print(f\"\\n===== K={k} =====\")\n",
-    "    prof = (\n",
-    "        dfc.groupby(f\"cluster_k{k}\")\n",
-    "        .agg(\n",
-    "            n_clients=(ID_COL, \"count\"),\n",
-    "            **{f\"{c}_med\": (c, \"median\") for c in profile_vars}\n",
-    "        )\n",
-    "        .sort_values(\"n_clients\", ascending=False)\n",
-    "    )\n",
-    "    display(prof)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 237,
-   "id": "ff8bdf91-859c-419e-a2ea-eb4a5f44f0df",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Analyse graphique des clusters : features2\n",
-    "sns.set_style(\"whitegrid\")\n",
-    "thr_int = dfc[\"gross_flow_to_aum\"].median()\n",
-    "thr_freq = dfc[\"flow_freq\"].median()\n",
-    "\n",
-    "plt.figure()\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([2, 4, 6.0])].groupby(\"cluster_k5\"):\n",
-    "    plt.scatter(g[\"flow_freq\"], g[\"gross_flow_to_aum\"], s=10, label=f\"Cluster {int(name)}\")\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_int, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.ylim(0.1,1000)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 238,
-   "id": "0bb325e2-a490-465c-9c8f-2121694f9b92",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Analyse graphique des clusters : features2\n",
-    "\n",
-    "thr_int = dfc[\"gross_flow_to_aum\"].median()\n",
-    "thr_freq = dfc[\"flow_freq\"].median()\n",
-    "\n",
-    "plt.figure()\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([1,3,0, 4, 6.0])].groupby(\"cluster_k5\"):\n",
-    "    plt.scatter(g[\"flow_freq\"], g[\"gross_flow_to_aum\"], s=10, label=f\"Cluster {int(name)}\")\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_int, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.ylim(0.1,1000)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 314,
-   "id": "4d04e670-51ae-482d-a5c5-93fe8263cfeb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Analyse : features\n",
-    "\n",
-    "labels_map = {\n",
-    "    0: \"Cluster 0 (30): Large and highly active movers\",\n",
-    "    1: \"Cluster 1 (168): Occasional large movers\",\n",
-    "    3: \"Cluster 3 (111): Dormant profiles\",\n",
-    "    4: \"Cluster 4 (90): Loyal clients\"\n",
-    "}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 315,
-   "id": "6ebe0025-0532-4e51-acb2-81aa786a164b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 2, figsize=(12,5), sharey=False)\n",
-    "\n",
-    "thr_log_tx = dfc[\"log_n_tx_total\"].median()\n",
-    "# --- Graphique 1 ---\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([2,4])].groupby(\"cluster_k5\"):\n",
-    "    axes[0].scatter(g[\"log_n_tx_total\"], g[\"gross_flow_to_aum\"], s=10, label=labels_map.get(int(name), \"Cluster {}\".format(int(name))))\n",
-    "\n",
-    "axes[0].set_yscale(\"log\")\n",
-    "axes[0].axvline(thr_log_tx, linestyle=\"--\")\n",
-    "axes[0].axhline(thr_int, linestyle=\"--\")\n",
-    "axes[0].set_xlabel(\"Activity frequency (log_n_tx_total)\")\n",
-    "axes[0].set_ylabel(\"Gross flow / mean AUM\")\n",
-    "axes[0].set_title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "axes[0].set_ylim(0.1,1000)\n",
-    "axes[0].legend(markerscale=2)\n",
-    "\n",
-    "# --- Graphique 2 ---\n",
-    "thr_churn = dfc[\"aum_drawdown_last\"].median()\n",
-    "thr_hold = dfc[\"avg_holding_months_per_isin\"].median()\n",
-    "\n",
-    "color_map = {\n",
-    "    1: \"#ff7f0e\",\n",
-    "    4: \"red\"\n",
-    "}\n",
-    "\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([0,2,3])].groupby(\"cluster_k5\"):\n",
-    "    axes[1].scatter(\n",
-    "        g[\"avg_holding_months_per_isin\"], g[\"aum_drawdown_last\"],\n",
-    "        s=10,\n",
-    "        color= color_map.get(int(name), \"gray\"),\n",
-    "        label=labels_map.get(int(name), \"Cluster {}\".format(int(name)))\n",
-    "    )\n",
-    "\n",
-    "axes[1].set_yscale(\"log\")\n",
-    "axes[1].axvline(thr_hold, linestyle=\"--\")\n",
-    "axes[1].axhline(thr_churn, linestyle=\"--\")\n",
-    "axes[1].set_xlabel(\"avg_holding_months_per_isin\")\n",
-    "axes[1].set_ylabel(\"aum_drawdown_last\")\n",
-    "axes[1].set_title(\"2D behavioral segmentation: potential churn vs loyalty\")\n",
-    "axes[1].legend(markerscale=2)\n",
-    "axes[1].set_ylim(0.001,1.3)\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 316,
-   "id": "5b3c5228-c176-4f1c-8edb-5b5d093df8a9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Profil fidele (avg_holding_months_per_isin_med) vs churn (aum_drawdown_last_med)\n",
-    "\n",
-    "thr_churn = dfc[\"aum_drawdown_last\"].median()\n",
-    "thr_hold = dfc[\"avg_holding_months_per_isin\"].median()\n",
-    "\n",
-    "plt.figure()\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([0,2,3])].groupby(\"cluster_k5\"):\n",
-    "    plt.scatter(g[\"avg_holding_months_per_isin\"], g[\"aum_drawdown_last\"], s=10, label=name)\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_hold, linestyle=\"--\")\n",
-    "plt.axhline(thr_churn, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.ylim(0.001,1.1)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 317,
-   "id": "5071c36c-0176-460c-aeb7-ed7c4fb35ce5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1400x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "#heatmap\n",
-    "def robust_zscore_col(s):\n",
-    "    med = np.nanmedian(s)\n",
-    "    mad = np.nanmedian(np.abs(s - med))\n",
-    "    if mad == 0 or np.isnan(mad):\n",
-    "        return np.zeros(len(s))\n",
-    "    return (s - med) / (1.4826 * mad)\n",
-    "\n",
-    "for k in [5]:\n",
-    "    prof = dfc.groupby(f\"cluster_k{k}\")[profile_vars].median()\n",
-    "    prof_z = prof.copy()\n",
-    "\n",
-    "    for c in prof.columns:\n",
-    "        # prof_z[c] = robust_zscore_col(prof[c].values)\n",
-    "        prof_z[c] = (prof[c] - prof[c].mean()) / (prof[c].std() + 1e-12)\n",
-    "        prof_z[c] = prof_z[c].fillna(0)\n",
-    "\n",
-    "    plt.figure(figsize=(14, 4))\n",
-    "    sns.heatmap(prof_z, cmap=\"RdBu_r\", center=0)\n",
-    "    plt.xticks(rotation=45, ha='right')  # incline les noms à 45°, alignés à droite\n",
-    "    plt.title(f\"Cluster signatures — K={k}\")\n",
-    "    plt.ylabel(\"Clusters\")\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 318,
-   "id": "72393182-7c5b-4484-b0e0-770bff771d4c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "from sklearn.metrics import pairwise_distances\n",
-    "\n",
-    "def plot_distance_matrix_sorted(X_scaled, labels, max_points=400, title=\"Distance matrix\"):\n",
-    "    \"\"\"\n",
-    "    Trace la matrice de distance triée par cluster avec des lignes séparatrices.\n",
-    "    \n",
-    "    Parameters\n",
-    "    ----------\n",
-    "    X_scaled : np.array ou pd.DataFrame\n",
-    "        Les données numériques standardisées (n_samples x n_features)\n",
-    "    labels : array-like\n",
-    "        Les labels de cluster pour chaque point\n",
-    "    max_points : int, optional\n",
-    "        Nombre maximum de points à afficher pour éviter des matrices trop grandes\n",
-    "    title : str, optional\n",
-    "        Titre de la figure\n",
-    "    \"\"\"\n",
-    "    n = X_scaled.shape[0]\n",
-    "    idx = np.arange(n)\n",
-    "\n",
-    "    # Sous-échantillonnage si nécessaire\n",
-    "    if n > max_points:\n",
-    "        rng = np.random.default_rng(42)\n",
-    "        idx = rng.choice(idx, size=max_points, replace=False)\n",
-    "\n",
-    "    X_sub = X_scaled[idx]\n",
-    "    labels_sub = np.asarray(labels)[idx]\n",
-    "\n",
-    "    # Tri par cluster\n",
-    "    order = np.lexsort((np.arange(len(labels_sub)), labels_sub))\n",
-    "    X_sub = X_sub[order]\n",
-    "    labels_sub = labels_sub[order]\n",
-    "\n",
-    "    # Matrice de distances\n",
-    "    D = pairwise_distances(X_sub)\n",
-    "\n",
-    "    # Figure\n",
-    "    plt.figure(figsize=(8, 7))\n",
-    "    sns.heatmap(D, cmap=\"viridis\")\n",
-    "    \n",
-    "    # Lignes séparatrices entre clusters\n",
-    "    unique_labels, counts = np.unique(labels_sub, return_counts=True)\n",
-    "    boundaries = np.cumsum(counts)\n",
-    "    for b in boundaries[:-1]:  # on ignore la dernière limite\n",
-    "        plt.axhline(b, color='red', linewidth=2)\n",
-    "        plt.axvline(b, color='red', linewidth=2)\n",
-    "\n",
-    "    plt.title(title)\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()\n",
-    "\n",
-    "for k in [5]:\n",
-    "    plot_distance_matrix_sorted(\n",
-    "        X_scaled,\n",
-    "        dfc[f\"cluster_k{k}\"].values,\n",
-    "        title=f\"Distance matrix — K={k}\"\n",
-    "    )\n",
-    "\n",
-    "# Cluster 0 très distant des autres"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 319,
-   "id": "a5f006c5-55a8-475f-b58d-fc26886c0aba",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "churn_hard       0.361386\n",
-      "churn_soft       0.603960\n",
-      "churn_warning    0.344059\n",
-      "dtype: float64\n",
-      "\n",
-      "===== CHURN PAR CLUSTER K=2 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>churn_hard_rate</th>\n",
-       "      <th>churn_soft_rate</th>\n",
-       "      <th>churn_warning_rate</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k2</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>327</td>\n",
-       "      <td>0.409786</td>\n",
-       "      <td>0.642202</td>\n",
-       "      <td>0.336391</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>77</td>\n",
-       "      <td>0.155844</td>\n",
-       "      <td>0.441558</td>\n",
-       "      <td>0.376623</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            n_clients  churn_hard_rate  churn_soft_rate  churn_warning_rate\n",
-       "cluster_k2                                                                 \n",
-       "0                 327         0.409786         0.642202            0.336391\n",
-       "1                  77         0.155844         0.441558            0.376623"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== CHURN PAR CLUSTER K=5 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>churn_hard_rate</th>\n",
-       "      <th>churn_soft_rate</th>\n",
-       "      <th>churn_warning_rate</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k5</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>168</td>\n",
-       "      <td>0.541667</td>\n",
-       "      <td>0.797619</td>\n",
-       "      <td>0.416667</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>111</td>\n",
-       "      <td>0.396396</td>\n",
-       "      <td>0.648649</td>\n",
-       "      <td>0.306306</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>90</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.166667</td>\n",
-       "      <td>0.211111</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30</td>\n",
-       "      <td>0.233333</td>\n",
-       "      <td>0.600000</td>\n",
-       "      <td>0.433333</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>5</td>\n",
-       "      <td>0.800000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.600000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            n_clients  churn_hard_rate  churn_soft_rate  churn_warning_rate\n",
-       "cluster_k5                                                                 \n",
-       "1                 168         0.541667         0.797619            0.416667\n",
-       "3                 111         0.396396         0.648649            0.306306\n",
-       "4                  90         0.000000         0.166667            0.211111\n",
-       "0                  30         0.233333         0.600000            0.433333\n",
-       "2                   5         0.800000         1.000000            0.600000"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Analyse churn\n",
-    "\n",
-    "dfc[\"churn_hard\"] = (dfc[\"aum_final_to_peak\"] < 0.10).astype(int)\n",
-    "\n",
-    "dfc[\"churn_soft\"] = (\n",
-    "    (dfc[\"aum_final_to_peak\"] < 0.40) &\n",
-    "    (dfc[\"aum_drawdown_last\"] > 0.40)\n",
-    ").astype(int)\n",
-    "\n",
-    "dfc[\"churn_warning\"] = (\n",
-    "    (dfc[\"flow_direction_balance\"] < 0) &\n",
-    "    (dfc[\"aum_drawdown_last\"] > 0.20)\n",
-    ").astype(int)\n",
-    "\n",
-    "print(dfc[[\"churn_hard\", \"churn_soft\", \"churn_warning\"]].mean())\n",
-    "\n",
-    "for k in [2, 5]:\n",
-    "    out = (\n",
-    "        dfc.groupby(f\"cluster_k{k}\")\n",
-    "        .agg(\n",
-    "            n_clients=(ID_COL, \"count\"),\n",
-    "            churn_hard_rate=(\"churn_hard\", \"mean\"),\n",
-    "            churn_soft_rate=(\"churn_soft\", \"mean\"),\n",
-    "            churn_warning_rate=(\"churn_warning\", \"mean\")\n",
-    "        )\n",
-    "        .sort_values(\"n_clients\", ascending=False)\n",
-    "    )\n",
-    "    print(f\"\\n===== CHURN PAR CLUSTER K={k} =====\")\n",
-    "    display(out)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 320,
-   "id": "b8b4940e-4ab5-4123-a59a-e99d5f1fc5b6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "for k in [2, 5]:\n",
-    "    tmp = (\n",
-    "        dfc.groupby(f\"cluster_k{k}\")\n",
-    "        .agg(\n",
-    "            churn_hard=(\"churn_hard\", \"mean\"),\n",
-    "            churn_soft=(\"churn_soft\", \"mean\"),\n",
-    "            churn_warning=(\"churn_warning\", \"mean\")\n",
-    "        )\n",
-    "    )\n",
-    "\n",
-    "    tmp.plot(kind=\"bar\", figsize=(8, 4))\n",
-    "    plt.title(f\"Churn by cluster — K={k}\")\n",
-    "    plt.ylabel(\"Rate\")\n",
-    "    plt.xlabel(\"Clusters\")\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a0370454-561e-48c5-ad3b-28a356a2abac",
-   "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": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/.ipynb_checkpoints/data_flux_stock-checkpoint.ipynb b/.ipynb_checkpoints/data_flux_stock-checkpoint.ipynb
deleted file mode 100644
index c0bbb3a..0000000
--- a/.ipynb_checkpoints/data_flux_stock-checkpoint.ipynb
+++ /dev/null
@@ -1,551 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "f996e528-002f-4856-a67a-5120e8af86ad",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers Flows : ['projet-bdc-data/carmignac/Flows ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/Flows ENSAE V2 -20251105.csv']\n",
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    }
-   ],
-   "source": [
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers FLOWS\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "flows_files = [f for f in all_files if \"Flows\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers Flows :\", flows_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "flows_data = {}\n",
-    "for file_path in flows_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        flows_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "bdfc2afe-c3aa-41b6-bb40-3a7bf2a39d9a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - Subscription</th>\n",
-       "      <th>Quantity - Redemption</th>\n",
-       "      <th>Quantity - NetFlows</th>\n",
-       "      <th>Value Ccy - Subscription</th>\n",
-       "      <th>Value Ccy - Redemption</th>\n",
-       "      <th>Value Ccy - NetFlows</th>\n",
-       "      <th>Value € - Subscription</th>\n",
-       "      <th>Value € - Redemption</th>\n",
-       "      <th>Value € - NetFlows</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-11-05</td>\n",
-       "      <td>1636.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1636.000</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2015-03-09</td>\n",
-       "      <td>144.69</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>144.690</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2016-10-26</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2018-10-18</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-04-08</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 24 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200127202                     France   \n",
-       "1                 406533                     France   \n",
-       "2                 406533                     France   \n",
-       "3                 406533                     France   \n",
-       "4                 406533                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France               Equity     Investissement   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France               Equity     Investissement   \n",
-       "3                     France               Equity     Investissement   \n",
-       "4                     France               Equity     Investissement   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?  ... Centralisation Date  \\\n",
-       "0                  SICAV                   NO  ...          2020-11-05   \n",
-       "1                    FCP                   NO  ...          2015-03-09   \n",
-       "2                    FCP                   NO  ...          2016-10-26   \n",
-       "3                    FCP                   NO  ...          2018-10-18   \n",
-       "4                    FCP                   NO  ...          2019-04-08   \n",
-       "\n",
-       "  Quantity - Subscription Quantity - Redemption Quantity - NetFlows  \\\n",
-       "0                 1636.00                 0.000            1636.000   \n",
-       "1                  144.69                 0.000             144.690   \n",
-       "2                    0.00                -8.321              -8.321   \n",
-       "3                    0.00               -22.083             -22.083   \n",
-       "4                    0.00              -465.992            -465.992   \n",
-       "\n",
-       "  Value Ccy - Subscription  Value Ccy - Redemption  Value Ccy - NetFlows  \\\n",
-       "0                280983.00                    0.00             280983.00   \n",
-       "1                 99985.13                    0.00              99985.13   \n",
-       "2                     0.00                -9384.76              -9384.76   \n",
-       "3                     0.00               -25227.40             -25227.40   \n",
-       "4                     0.00              -563775.76            -563775.76   \n",
-       "\n",
-       "   Value € - Subscription  Value € - Redemption  Value € - NetFlows  \n",
-       "0               280983.00                  0.00           280983.00  \n",
-       "1                99985.13                  0.00            99985.13  \n",
-       "2                    0.00              -9384.76            -9384.76  \n",
-       "3                    0.00             -25227.40           -25227.40  \n",
-       "4                    0.00            -563775.76          -563775.76  \n",
-       "\n",
-       "[5 rows x 24 columns]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = flows_data['Flows ENSAE V2 -20251105.csv']\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "6af3bcd9-0a54-4087-a8cf-203fb6f8a947",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - AUM</th>\n",
-       "      <th>Value - AUM CCY</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>24648.6666</td>\n",
-       "      <td>24648.6666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22413.0553</td>\n",
-       "      <td>22413.0553</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-12-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22051.2406</td>\n",
-       "      <td>22051.2406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>21626.1173</td>\n",
-       "      <td>21626.1173</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22489.4502</td>\n",
-       "      <td>22489.4502</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200000647                     France   \n",
-       "1              200000647                     France   \n",
-       "2              200000647                     France   \n",
-       "3              200000647                     France   \n",
-       "4              200000647                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France          Diversified         Patrimoine   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France          Diversified         Patrimoine   \n",
-       "3                     France          Diversified         Patrimoine   \n",
-       "4                     France          Diversified         Patrimoine   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
-       "0                    FCP                   NO  Carmignac Patrimoine   \n",
-       "1                    FCP                   NO  Carmignac Patrimoine   \n",
-       "2                    FCP                   NO  Carmignac Patrimoine   \n",
-       "3                    FCP                   NO  Carmignac Patrimoine   \n",
-       "4                    FCP                   NO  Carmignac Patrimoine   \n",
-       "\n",
-       "  Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
-       "0                         A                           EUR   FR0010135103   \n",
-       "1                         A                           EUR   FR0010135103   \n",
-       "2                         A                           EUR   FR0010135103   \n",
-       "3                         A                           EUR   FR0010135103   \n",
-       "4                         A                           EUR   FR0010135103   \n",
-       "\n",
-       "  Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
-       "0          2015-03-31          35.368       24648.6666     24648.6666  \n",
-       "1          2015-11-30          35.368       22413.0553     22413.0553  \n",
-       "2          2015-12-31          35.368       22051.2406     22051.2406  \n",
-       "3          2016-03-31          35.368       21626.1173     21626.1173  \n",
-       "4          2016-11-30          35.368       22489.4502     22489.4502  "
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dg = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "dg.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1d9cd20d-2e79-47b8-91f1-09fee4962dc6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df_ids = set(df['Registrar Account - ID'].unique())\n",
-    "dg_ids = set(dg['Registrar Account - ID'].unique())\n",
-    "\n",
-    "intersect  = df_ids & dg_ids     # comptes dans les deux\n",
-    "only_df    = df_ids - dg_ids     # comptes seulement dans df\n",
-    "only_dg    = dg_ids - df_ids     # comptes seulement dans dg\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1a374690-119e-4bbb-a12d-13d0305780ad",
-   "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": "3.13.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/.ipynb_checkpoints/dataloader-checkpoint.ipynb b/.ipynb_checkpoints/dataloader-checkpoint.ipynb
deleted file mode 100644
index 363fcab..0000000
--- a/.ipynb_checkpoints/dataloader-checkpoint.ipynb
+++ /dev/null
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/.ipynb_checkpoints/detection_rupture-checkpoint.py b/.ipynb_checkpoints/detection_rupture-checkpoint.py
deleted file mode 100644
index efa2e02..0000000
--- a/.ipynb_checkpoints/detection_rupture-checkpoint.py
+++ /dev/null
@@ -1,86 +0,0 @@
-import pandas as pd
-
-def detect_ruptures(df, epsilon=0.05):
-    # Colonnes clés pour identifier les comptes
-    key_cols = [
-        'Agreement - Code',
-        'Company - Id',
-        'Company - Ultimate Parent Id',
-        'Registrar Account - Region',
-        'RegistrarAccount - Country',
-        'Registrar Account - ID'
-    ]
-    
-    # Travailler sur une copie
-    df_temp = df.copy()
-
-    # Colonnes de dates
-    df_temp['Centralisation Date'] = pd.to_datetime(df_temp['Centralisation Date'])
-
-    # Dates distinctes
-    full_dates = (
-        pd.Series(df_temp['Centralisation Date'].unique())
-        .sort_values()
-        .reset_index(drop=True)
-    )
-
-    # Combinaisons comptes × dates
-    accounts = df_temp[key_cols].drop_duplicates()
-    full_index = accounts.merge(
-        pd.DataFrame({'Centralisation Date': full_dates}), 
-        how='cross'
-    )
-
-    # Agréger les AUM par clé
-    agg_cols = key_cols + ['Centralisation Date']
-    df_agg = (
-        df_temp.groupby(agg_cols)['Value - AUM €']
-        .sum()
-        .reset_index()
-    )
-
-    # Merge sur toutes les combinaisons
-    df_full = pd.merge(full_index, df_agg, on=agg_cols, how='left')
-
-    # Remplissage des trous par 0
-    df_full['Value - AUM €'] = df_full['Value - AUM €'].fillna(0)
-
-    # Tri
-    df_full = df_full.sort_values(key_cols + ['Centralisation Date'])
-
-    # Variation et valeur précédente
-    df_full['AUM_diff'] = df_full.groupby(key_cols)['Value - AUM €'].diff().fillna(0)
-    df_full['prev_value'] = df_full.groupby(key_cols)['Value - AUM €'].shift(1).fillna(0)
-
-    # Comptes qui perdent tout
-    df_zero = df_full[(df_full['AUM_diff'] < 0) & (df_full['Value - AUM €'] == 0)].copy()
-
-    # Comptes qui partent de 0
-    df_from_zero = df_full[(df_full['AUM_diff'] > 0) & (df_full['prev_value'] == 0)].copy()
-
-    # Colonnes pour le merge (sans ID)
-    merge_cols = [
-        'Centralisation Date',
-        'Agreement - Code',
-        'Company - Id',
-        'Company - Ultimate Parent Id',
-        'Registrar Account - Region',
-        'RegistrarAccount - Country'
-    ]
-
-    # Détection des ruptures
-    ruptures = pd.merge(df_zero, df_from_zero, on=merge_cols, suffixes=('_old','_new'))
-
-    # Calcul de la différence relative selon epsilon
-    ruptures['diff_rel'] = abs(ruptures['AUM_diff_old'] + ruptures['AUM_diff_new']) / (
-        (abs(ruptures['AUM_diff_old']) + abs(ruptures['AUM_diff_new'])) / 2
-    )
-
-    # Filtrage avec epsilon
-    ruptures = ruptures[ruptures['diff_rel'] <= epsilon].drop(columns=['diff_rel'])
-
-    # Colonnes finales
-    ruptures_df = ruptures[['Centralisation Date','Registrar Account - ID_old','Registrar Account - ID_new','AUM_diff_new']]
-    ruptures_df.columns = ['date','old_account','new_account','value']
-
-    return ruptures_df
diff --git a/.ipynb_checkpoints/function-checkpoint.py b/.ipynb_checkpoints/function-checkpoint.py
deleted file mode 100644
index 09c341d..0000000
--- a/.ipynb_checkpoints/function-checkpoint.py
+++ /dev/null
@@ -1,103 +0,0 @@
-import matplotlib.pyplot as plt
-import pandas as pd
-
-
-def evolution_compte(df, id1, id = 'Registrar Account - ID'):
-    def prepare_df(idt):
-        df_id = df[df[id] == idt].copy()
-        df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])
-        df_agg = (
-            df_id
-            .groupby('Centralisation Date')['Quantity - AUM']
-            .sum()
-            .reset_index()
-            .sort_values('Centralisation Date')
-        )
-        return df_agg
-
-    df1 = prepare_df(id1)
-
-    plt.figure(figsize=(12, 6))
-
-    # Courbe du compte
-    plt.plot(df1['Centralisation Date'], df1['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id1}')
-
-    plt.title(f"Évolution AUM pour le compte {id1}")
-    plt.xlabel("Date")
-    plt.ylabel("Quantity - AUM")
-    plt.grid(True)
-    plt.legend()
-    plt.tight_layout()
-    plt.show()
-
-def evolution_2_comptes(df, id1, id2):
-    def prepare_df(id):
-        df_id = df[df['Registrar Account - ID'] == id].copy()
-        df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])
-        df_agg = (
-            df_id
-            .groupby('Centralisation Date')['Quantity - AUM']
-            .sum()
-            .reset_index()
-            .sort_values('Centralisation Date')
-        )
-        return df_agg
-
-    df1 = prepare_df(id1)
-    df2 = prepare_df(id2)
-
-    plt.figure(figsize=(12, 6))
-
-    # Courbe du premier compte
-    plt.plot(df1['Centralisation Date'], df1['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id1}')
-
-    # Courbe du second compte
-    plt.plot(df2['Centralisation Date'], df2['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id2}')
-
-    plt.title("Évolution des AUM pour deux comptes")
-    plt.xlabel("Date")
-    plt.ylabel("Quantity - AUM")
-    plt.grid(True)
-    plt.legend()           # <- important pour distinguer les comptes
-    plt.tight_layout()
-    plt.show()
-
-
-def evolution_3_comptes(df, id1, id2, id3):
-    def prepare_df(id):
-        df_id = df[df['Registrar Account - ID'] == id].copy()
-        df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])
-        df_agg = (
-            df_id
-            .groupby('Centralisation Date')['Quantity - AUM']
-            .sum()
-            .reset_index()
-            .sort_values('Centralisation Date')
-        )
-        return df_agg
-
-    df1 = prepare_df(id1)
-    df2 = prepare_df(id2)
-    df3 = prepare_df(id3)
-
-    plt.figure(figsize=(12, 6))
-
-    plt.plot(df1['Centralisation Date'], df1['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id1}')
-
-    plt.plot(df2['Centralisation Date'], df2['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id2}')
-
-    plt.plot(df3['Centralisation Date'], df3['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id3}')
-
-    plt.title("Evolution of AUM for three accounts")
-    plt.xlabel("Date")
-    plt.ylabel("Quantity - AUM")
-    plt.grid(True)
-    plt.legend()
-    plt.tight_layout()
-    plt.show()
diff --git a/.ipynb_checkpoints/rupture-checkpoint.ipynb b/.ipynb_checkpoints/rupture-checkpoint.ipynb
deleted file mode 100644
index f0762a8..0000000
--- a/.ipynb_checkpoints/rupture-checkpoint.ipynb
+++ /dev/null
@@ -1,58 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "132a1aa1-4cb9-49e7-9f45-c09dd8fd57c1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']"
-   ]
-  }
- ],
- "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": "3.13.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/.ipynb_checkpoints/clustering_avril-checkpoint.ipynb b/.ipynb_checkpoints/temporal clustering-checkpoint.ipynb
similarity index 100%
rename from .ipynb_checkpoints/clustering_avril-checkpoint.ipynb
rename to .ipynb_checkpoints/temporal clustering-checkpoint.ipynb
diff --git a/.ipynb_checkpoints/test_upload-checkpoint.py b/.ipynb_checkpoints/test_upload-checkpoint.py
deleted file mode 100644
index e69de29..0000000
diff --git a/Challenge_cleaning.ipynb b/Challenge_cleaning.ipynb
deleted file mode 100644
index 207a23a..0000000
--- a/Challenge_cleaning.ipynb
+++ /dev/null
@@ -1,3898 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "4287b380-5359-49c7-ab95-ad346a3ad17a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers Flows : ['projet-bdc-data/carmignac/Flows ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/Flows ENSAE V2 -20251105.csv']\n",
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Import des données\n",
-    "\n",
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers FLOWS\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "flows_files = [f for f in all_files if \"Flows\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers Flows :\", flows_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "flows_data = {}\n",
-    "for file_path in flows_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        flows_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "dg = flows_data['Flows ENSAE V2 -20251105.csv']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 142,
-   "id": "0b66aee0-b726-4a57-9461-6a4550a625a8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - AUM</th>\n",
-       "      <th>Value - AUM CCY</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>24648.6666</td>\n",
-       "      <td>24648.6666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22413.0553</td>\n",
-       "      <td>22413.0553</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-12-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22051.2406</td>\n",
-       "      <td>22051.2406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>21626.1173</td>\n",
-       "      <td>21626.1173</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22489.4502</td>\n",
-       "      <td>22489.4502</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200000647                     France   \n",
-       "1              200000647                     France   \n",
-       "2              200000647                     France   \n",
-       "3              200000647                     France   \n",
-       "4              200000647                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France          Diversified         Patrimoine   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France          Diversified         Patrimoine   \n",
-       "3                     France          Diversified         Patrimoine   \n",
-       "4                     France          Diversified         Patrimoine   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
-       "0                    FCP                   NO  Carmignac Patrimoine   \n",
-       "1                    FCP                   NO  Carmignac Patrimoine   \n",
-       "2                    FCP                   NO  Carmignac Patrimoine   \n",
-       "3                    FCP                   NO  Carmignac Patrimoine   \n",
-       "4                    FCP                   NO  Carmignac Patrimoine   \n",
-       "\n",
-       "  Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
-       "0                         A                           EUR   FR0010135103   \n",
-       "1                         A                           EUR   FR0010135103   \n",
-       "2                         A                           EUR   FR0010135103   \n",
-       "3                         A                           EUR   FR0010135103   \n",
-       "4                         A                           EUR   FR0010135103   \n",
-       "\n",
-       "  Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
-       "0          2015-03-31          35.368       24648.6666     24648.6666  \n",
-       "1          2015-11-30          35.368       22413.0553     22413.0553  \n",
-       "2          2015-12-31          35.368       22051.2406     22051.2406  \n",
-       "3          2016-03-31          35.368       21626.1173     21626.1173  \n",
-       "4          2016-11-30          35.368       22489.4502     22489.4502  "
-      ]
-     },
-     "execution_count": 142,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "a5509e6e-ff10-4388-9fee-5cd49d01b60a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - Subscription</th>\n",
-       "      <th>Quantity - Redemption</th>\n",
-       "      <th>Quantity - NetFlows</th>\n",
-       "      <th>Value Ccy - Subscription</th>\n",
-       "      <th>Value Ccy - Redemption</th>\n",
-       "      <th>Value Ccy - NetFlows</th>\n",
-       "      <th>Value € - Subscription</th>\n",
-       "      <th>Value € - Redemption</th>\n",
-       "      <th>Value € - NetFlows</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-11-05</td>\n",
-       "      <td>1636.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1636.000</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2015-03-09</td>\n",
-       "      <td>144.69</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>144.690</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2016-10-26</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2018-10-18</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-04-08</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 24 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200127202                     France   \n",
-       "1                 406533                     France   \n",
-       "2                 406533                     France   \n",
-       "3                 406533                     France   \n",
-       "4                 406533                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France               Equity     Investissement   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France               Equity     Investissement   \n",
-       "3                     France               Equity     Investissement   \n",
-       "4                     France               Equity     Investissement   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?  ... Centralisation Date  \\\n",
-       "0                  SICAV                   NO  ...          2020-11-05   \n",
-       "1                    FCP                   NO  ...          2015-03-09   \n",
-       "2                    FCP                   NO  ...          2016-10-26   \n",
-       "3                    FCP                   NO  ...          2018-10-18   \n",
-       "4                    FCP                   NO  ...          2019-04-08   \n",
-       "\n",
-       "  Quantity - Subscription Quantity - Redemption Quantity - NetFlows  \\\n",
-       "0                 1636.00                 0.000            1636.000   \n",
-       "1                  144.69                 0.000             144.690   \n",
-       "2                    0.00                -8.321              -8.321   \n",
-       "3                    0.00               -22.083             -22.083   \n",
-       "4                    0.00              -465.992            -465.992   \n",
-       "\n",
-       "  Value Ccy - Subscription  Value Ccy - Redemption  Value Ccy - NetFlows  \\\n",
-       "0                280983.00                    0.00             280983.00   \n",
-       "1                 99985.13                    0.00              99985.13   \n",
-       "2                     0.00                -9384.76              -9384.76   \n",
-       "3                     0.00               -25227.40             -25227.40   \n",
-       "4                     0.00              -563775.76            -563775.76   \n",
-       "\n",
-       "   Value € - Subscription  Value € - Redemption  Value € - NetFlows  \n",
-       "0               280983.00                  0.00           280983.00  \n",
-       "1                99985.13                  0.00            99985.13  \n",
-       "2                    0.00              -9384.76            -9384.76  \n",
-       "3                    0.00             -25227.40           -25227.40  \n",
-       "4                    0.00            -563775.76          -563775.76  \n",
-       "\n",
-       "[5 rows x 24 columns]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dg.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "d4c6dc0e-a5bc-495c-a54b-96dd238f46e3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Filtrer les comptes techniques\n",
-    "\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "\n",
-    "df['Centralisation Date'] = pd.to_datetime(df['Centralisation Date'])\n",
-    "dg['Centralisation Date'] = pd.to_datetime(dg['Centralisation Date'])\n",
-    "df = df[~df['Registrar Account - ID'].isin(['Off Distribution','Private Clients', 'Private Client'])]\n",
-    "dg = dg[~dg['Registrar Account - ID'].isin(['Off Distribution','Private Clients','Private Client'])]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "c7abd838-cb2d-41dc-a280-6622b0937672",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Date de référence\n",
-    "\n",
-    "ref_date = pd.Timestamp('2025-10-31')\n",
-    "\n",
-    "df_ref = df[df['Centralisation Date'] == ref_date]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "1efb0610-4eaf-427c-a15c-d926d423db76",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>3890</th>\n",
-       "      <td>420350</td>\n",
-       "      <td>1.623308e+09</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2622</th>\n",
-       "      <td>364765</td>\n",
-       "      <td>1.383209e+09</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>956</th>\n",
-       "      <td>200127454</td>\n",
-       "      <td>8.784361e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2598</th>\n",
-       "      <td>312933</td>\n",
-       "      <td>8.379604e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1099</th>\n",
-       "      <td>200127809</td>\n",
-       "      <td>8.342839e+08</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     Registrar Account - ID  Value - AUM €\n",
-       "3890                 420350   1.623308e+09\n",
-       "2622                 364765   1.383209e+09\n",
-       "956               200127454   8.784361e+08\n",
-       "2598                 312933   8.379604e+08\n",
-       "1099              200127809   8.342839e+08"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "aum_account = (\n",
-    "    df_ref\n",
-    "    .groupby('Registrar Account - ID')['Value - AUM €']\n",
-    "    .sum()\n",
-    "    .reset_index()\n",
-    "    .sort_values(by='Value - AUM €', ascending=False)\n",
-    ")\n",
-    "aum_account.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "1e359eff-0fa0-410d-b7cc-03b37898890b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(431, 2)"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Garder les comptes > 5M€\n",
-    "aum_account = aum_account[aum_account['Value - AUM €'] > 5_000_000]\n",
-    "aum_account.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "99dcd4c5-56ad-4edb-90a4-ab6482455526",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Calcul des poids\n",
-    "total_aum = aum_account['Value - AUM €'].sum()\n",
-    "\n",
-    "aum_account['weight'] = aum_account['Value - AUM €'] / total_aum"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "829a8019-1761-44ec-b2a4-5c4084ae0115",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "      <th>weight</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>3890</th>\n",
-       "      <td>420350</td>\n",
-       "      <td>1.623308e+09</td>\n",
-       "      <td>0.048394</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2622</th>\n",
-       "      <td>364765</td>\n",
-       "      <td>1.383209e+09</td>\n",
-       "      <td>0.041236</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>956</th>\n",
-       "      <td>200127454</td>\n",
-       "      <td>8.784361e+08</td>\n",
-       "      <td>0.026188</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2598</th>\n",
-       "      <td>312933</td>\n",
-       "      <td>8.379604e+08</td>\n",
-       "      <td>0.024981</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1099</th>\n",
-       "      <td>200127809</td>\n",
-       "      <td>8.342839e+08</td>\n",
-       "      <td>0.024872</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     Registrar Account - ID  Value - AUM €    weight\n",
-       "3890                 420350   1.623308e+09  0.048394\n",
-       "2622                 364765   1.383209e+09  0.041236\n",
-       "956               200127454   8.784361e+08  0.026188\n",
-       "2598                 312933   8.379604e+08  0.024981\n",
-       "1099              200127809   8.342839e+08  0.024872"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "aum_account.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "12999c3a-3a6b-4035-a7c5-f230083a9143",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Score initial par compte (t = 31/10/2025) :\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Dictionnaire des scores initiaux\n",
-    "scores = aum_account.set_index('Registrar Account - ID')['weight'].to_dict()\n",
-    "\n",
-    "print(\"Score initial par compte (t = 31/10/2025) :\")\n",
-    "#print(scores)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "c633aa38-8d11-4c1c-897f-e29c1ceaf3dc",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "130"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dates = sorted(df['Centralisation Date'].unique(), reverse=True)\n",
-    "len(dates)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "a23cd218-acf7-4143-996c-5cb209e286a9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Stocks : somme des Quantity par date, compte, ISIN\n",
-    "stocks_agg = df.groupby(['Centralisation Date', 'Registrar Account - ID', 'Product - Isin'])['Quantity - AUM'].sum()\n",
-    "\n",
-    "# Flux : somme des NetFlows par date, compte, ISIN\n",
-    "flows_agg = dg.groupby(['Centralisation Date', 'Registrar Account - ID', 'Product - Isin'])['Quantity - NetFlows'].sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "e302da86-d226-409a-acd6-73f7965f3a60",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def check_consistency_vector(account, date_t, date_t1, tol = 0.05):\n",
-    "    \"\"\"\n",
-    "    Vérifie si tous les ISIN d'un compte sont cohérents :\n",
-    "    Quantity(t) ≈ Quantity(t-1) + NetFlows\n",
-    "    \"\"\"\n",
-    "\n",
-    "    # Tous les ISIN pour ce compte sur les deux dates et flux\n",
-    "    isins_t = stocks_agg.loc[date_t, account].index if (date_t, account) in stocks_agg.index else []\n",
-    "    isins_t1 = stocks_agg.loc[date_t1, account].index if (date_t1, account) in stocks_agg.index else []\n",
-    "    isins_fl = flows_agg.loc[date_t, account].index if (date_t, account) in flows_agg.index else []\n",
-    "\n",
-    "    all_isins = set(isins_t) | set(isins_t1) | set(isins_fl)\n",
-    "\n",
-    "    # Séries complètes avec fill_value=0 pour tous les ISIN\n",
-    "    st_t = pd.Series({isin: stocks_agg.get((date_t, account, isin), 0) for isin in all_isins}).astype(float).fillna(0)\n",
-    "    st_t1 = pd.Series({isin: stocks_agg.get((date_t1, account, isin), 0) for isin in all_isins}).astype(float).fillna(0)\n",
-    "    fl_t = pd.Series({isin: flows_agg.get((date_t, account, isin), 0) for isin in all_isins}).astype(float).fillna(0)\n",
-    "\n",
-    "    # Vérification relative à 5 %\n",
-    "    diff = np.abs(st_t.values - (st_t1.values + fl_t.values))\n",
-    "    relative_error = diff / np.where(st_t.values != 0, st_t.values, 1)  # éviter div par 0\n",
-    "\n",
-    "    return np.all(relative_error <= tol)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "3d1357c8-50fb-4fd9-8b80-d166dcc924cb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "penalty = 0.9  # facteur de dégradation\n",
-    "score_history = []\n",
-    "\n",
-    "scores = aum_account.set_index('Registrar Account - ID')['weight'].to_dict()\n",
-    "score_history.append({\n",
-    "    \"date\": ref_date,\n",
-    "    \"total_score\": sum(scores.values())  # ici, scores = poids initiaux\n",
-    "})\n",
-    "\n",
-    "# Trier les dates décroissantes (du plus récent au plus ancien)\n",
-    "dates_sorted = sorted(df['Centralisation Date'].unique(), reverse=True)\n",
-    "\n",
-    "for i in range(len(dates_sorted)-1):\n",
-    "    date_t = dates_sorted[i]\n",
-    "    date_t1 = dates_sorted[i+1]\n",
-    "\n",
-    "    new_scores = scores.copy()\n",
-    "\n",
-    "    for account in scores.keys():\n",
-    "        if not check_consistency_vector(account, date_t, date_t1):\n",
-    "            new_scores[account] = scores[account] * penalty  # dégrader le score\n",
-    "\n",
-    "    scores = new_scores\n",
-    "    score_history.append({\n",
-    "        \"date\": date_t1,\n",
-    "        \"total_score\": sum(scores.values())\n",
-    "    })"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "f750c441-a465-42c0-ac29-1f63868eea07",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "score_df = pd.DataFrame(score_history)\n",
-    "score_df = score_df.sort_values('date')  # optionnel pour affichage\n",
-    "\n",
-    "plt.plot(score_df['date'], score_df['total_score'], marker='o')\n",
-    "plt.title(\"Évolution de la Somme des Scores avec pénalité constante\")\n",
-    "plt.xlabel(\"Date\")\n",
-    "plt.ylabel(\"Total Score\")\n",
-    "plt.gca().invert_xaxis()  # remonter dans le temps à gauche\n",
-    "plt.grid(True)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "844508d8-456c-473a-86c8-aad51559794c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Autre score\n",
-    "\n",
-    "def score_decay_vector(account, date_t, date_t1, tol=0.05, alpha=1.0):\n",
-    "    \"\"\"\n",
-    "    Score diminue proportionnellement à l'erreur relative au-delà de tolérance,\n",
-    "    en évitant les warnings si pas de données.\n",
-    "    \"\"\"\n",
-    "    # Tous les ISIN pour ce compte\n",
-    "    isins_t = stocks_agg.loc[date_t, account].index if (date_t, account) in stocks_agg.index else []\n",
-    "    isins_t1 = stocks_agg.loc[date_t1, account].index if (date_t1, account) in stocks_agg.index else []\n",
-    "    isins_fl = flows_agg.loc[date_t, account].index if (date_t, account) in flows_agg.index else []\n",
-    "\n",
-    "    all_isins = set(isins_t) | set(isins_t1) | set(isins_fl)\n",
-    "    if len(all_isins) == 0:\n",
-    "        return 1.0  # pas de données → pas de dégradation\n",
-    "\n",
-    "    # Séries complètes float + fillna\n",
-    "    st_t = pd.Series({isin: stocks_agg.get((date_t, account, isin), 0) for isin in all_isins}).astype(float).fillna(0)\n",
-    "    st_t1 = pd.Series({isin: stocks_agg.get((date_t1, account, isin), 0) for isin in all_isins}).astype(float).fillna(0)\n",
-    "    fl_t = pd.Series({isin: flows_agg.get((date_t, account, isin), 0) for isin in all_isins}).astype(float).fillna(0)\n",
-    "\n",
-    "    # Calcul erreur relative\n",
-    "    denom = np.where(st_t.values != 0, st_t.values, 1)\n",
-    "    diff = np.abs(st_t.values - (st_t1.values + fl_t.values))\n",
-    "    relative_error = diff / denom\n",
-    "\n",
-    "    # Décroissance proportionnelle\n",
-    "    relative_error_clip = np.maximum(relative_error - tol, 0)\n",
-    "    mean_error = np.nanmean(relative_error_clip)  # remplacer NaN par 0\n",
-    "    decay_factor = max(0, 1 - alpha * mean_error)\n",
-    "\n",
-    "    return decay_factor"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 216,
-   "id": "8ec0295d-add3-4674-a657-13bba49f09bf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Score initial = poids des comptes à la date de référence\n",
-    "score_history3 = []\n",
-    "scores = aum_account.set_index('Registrar Account - ID')['weight'].to_dict()\n",
-    "score_history3.append({\n",
-    "    \"date\": ref_date,\n",
-    "    \"total_score\": sum(scores.values())\n",
-    "})\n",
-    "\n",
-    "dates_sorted = sorted(df['Centralisation Date'].unique(), reverse=True)\n",
-    "\n",
-    "alpha = 0.05  # sensibilité, 1 = décroissance égale à l'écart moyen au-delà de tolérance\n",
-    "tol = 0.05   # tolérance 5%\n",
-    "\n",
-    "for i in range(1, len(dates_sorted)):\n",
-    "    date_t = dates_sorted[i-1]\n",
-    "    date_t1 = dates_sorted[i]\n",
-    "\n",
-    "    new_scores = scores.copy()\n",
-    "\n",
-    "    for account in scores.keys():\n",
-    "        decay = score_decay_vector_max(account, date_t, date_t1, tol=tol, alpha=alpha)\n",
-    "        new_scores[account] = scores[account] * decay\n",
-    "\n",
-    "    scores = new_scores\n",
-    "    score_history3.append({\n",
-    "        \"date\": date_t1,\n",
-    "        \"total_score\": sum(scores.values())\n",
-    "    })"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 146,
-   "id": "edadf900-04e6-4fca-8e58-a5ed38cfd2e6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "score_df = pd.DataFrame(score_history)\n",
-    "score_df = score_df.sort_values('date')\n",
-    "\n",
-    "plt.plot(score_df['date'], score_df['total_score'], marker='o',markersize=4)\n",
-    "plt.gca().invert_xaxis()  # remonter le temps\n",
-    "plt.title(\"Evolution de la Somme des Scores avec pénalité proportionnelle\")\n",
-    "plt.xlabel(\"Date\")\n",
-    "plt.ylabel(\"Total Score\")\n",
-    "plt.grid(True)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 147,
-   "id": "eb308001-cdec-43b1-935d-0dc9dc59c192",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>total_score</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>129</th>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>0.936891</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>128</th>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>0.937214</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>127</th>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>0.937968</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>126</th>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>0.938711</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>125</th>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>0.938969</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2025-06-30</td>\n",
-       "      <td>0.998601</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2025-07-31</td>\n",
-       "      <td>0.998947</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2025-08-31</td>\n",
-       "      <td>0.999188</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2025-09-30</td>\n",
-       "      <td>0.999448</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>1.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>130 rows × 2 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          date  total_score\n",
-       "129 2015-01-31     0.936891\n",
-       "128 2015-02-28     0.937214\n",
-       "127 2015-03-31     0.937968\n",
-       "126 2015-04-30     0.938711\n",
-       "125 2015-05-31     0.938969\n",
-       "..         ...          ...\n",
-       "4   2025-06-30     0.998601\n",
-       "3   2025-07-31     0.998947\n",
-       "2   2025-08-31     0.999188\n",
-       "1   2025-09-30     0.999448\n",
-       "0   2025-10-31     1.000000\n",
-       "\n",
-       "[130 rows x 2 columns]"
-      ]
-     },
-     "execution_count": 147,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "score_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "1579c56d-df62-4161-a0a0-89b35f197ca3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def score_decay_vector_max(account, date_t, date_t1, tol=0.05, alpha=0.01):\n",
-    "    \"\"\"\n",
-    "    Score décroît proportionnellement à l'erreur relative,\n",
-    "    en utilisant le max entre stock actuel et stock ajusté par flux comme dénominateur.\n",
-    "    \"\"\"\n",
-    "    # Récupérer tous les ISIN pour ce compte\n",
-    "    isins_t = stocks_agg.loc[date_t, account].index if (date_t, account) in stocks_agg.index else []\n",
-    "    isins_t1 = stocks_agg.loc[date_t1, account].index if (date_t1, account) in stocks_agg.index else []\n",
-    "    isins_fl = flows_agg.loc[date_t, account].index if (date_t, account) in flows_agg.index else []\n",
-    "    \n",
-    "    all_isins = set(isins_t) | set(isins_t1) | set(isins_fl)\n",
-    "    if len(all_isins) == 0:\n",
-    "        return 1.0  # pas de données → pas de dégradation\n",
-    "    \n",
-    "    # Séries float complètes\n",
-    "    st_t = pd.Series({isin: stocks_agg.get((date_t, account, isin), 0) for isin in all_isins}).astype(float).fillna(0)\n",
-    "    st_t1 = pd.Series({isin: stocks_agg.get((date_t1, account, isin), 0) for isin in all_isins}).astype(float).fillna(0)\n",
-    "    fl_t = pd.Series({isin: flows_agg.get((date_t, account, isin), 0) for isin in all_isins}).astype(float).fillna(0)\n",
-    "    \n",
-    "    diff = np.abs(st_t.values - (st_t1.values + fl_t.values))\n",
-    "    \n",
-    "    # Dénominateur stable : max entre stock actuel et stock ajusté par flux\n",
-    "    denom = np.maximum(st_t.values, st_t1.values + fl_t.values)\n",
-    "    \n",
-    "    # Calcul erreur relative\n",
-    "    relative_error = np.zeros_like(diff)\n",
-    "    nonzero_mask = denom != 0\n",
-    "    relative_error[nonzero_mask] = diff[nonzero_mask] / denom[nonzero_mask]\n",
-    "    \n",
-    "    relative_error_clip = np.maximum(relative_error - tol, 0)\n",
-    "    \n",
-    "    decay_factor = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-    "    return decay_factor"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 218,
-   "id": "e3c20686-38b7-473b-86e1-c8db01251098",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Analyse pour différentes sensibilités\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "score_df3 = pd.DataFrame(score_history2)\n",
-    "score_df3 = score_df3.sort_values('date')\n",
-    "score_df2 = pd.DataFrame(score_history)\n",
-    "score_df2 = score_df2.sort_values('date')\n",
-    "score_df1 = pd.DataFrame(score_history3)\n",
-    "score_df1 = score_df1.sort_values('date')\n",
-    "\n",
-    "plt.figure(figsize=(10,5))\n",
-    "\n",
-    "# Tracer chaque score_history\n",
-    "\n",
-    "plt.plot(score_df2['date'], score_df2['total_score'], marker='o',markersize=2, label='alpha=0.01')\n",
-    "#plt.plot(score_df2['date'], score_df2['total_score'], marker='o',markersize=2, label='Seuil = 0.9 %')\n",
-    "plt.plot(score_df1['date'], score_df1['total_score'], marker='o',markersize=2, label='alpha=0.05')\n",
-    "plt.plot(score_df3['date'], score_df3['total_score'], marker='o',markersize=2, label='alpha=0.1')\n",
-    "#plt.plot(score_df3['date'], score_df3['total_score'], marker='o',markersize=2, label='Seuil = 1 %')\n",
-    "\n",
-    "#plt.plot(score_df1['date'], score_df1['total_score'], marker='o',markersize=2, label='Sans chirurgie')\n",
-    "\n",
-    "# Inverser l'axe X si tu veux remonter dans le temps\n",
-    "plt.gca().invert_xaxis()\n",
-    "\n",
-    "# Limites et labels\n",
-    "#plt.ylim(0.9, 1.05)\n",
-    "plt.xlabel(\"Date\")\n",
-    "plt.ylabel(\"Total Score\")\n",
-    "plt.title(\"Évolution du score pour différentes sensibilités\")\n",
-    "#plt.title(\"Évolution du score après chirurgie\")\n",
-    "# Grille et légende\n",
-    "plt.grid(True)\n",
-    "plt.legend()\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 148,
-   "id": "d85c7835-b4f3-4d0e-a9e3-53bb3a1420c7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "score_history = []\n",
-    "score_history_accounts = []\n",
-    "\n",
-    "scores = aum_account.set_index('Registrar Account - ID')['weight'].to_dict()\n",
-    "\n",
-    "score_history.append({\n",
-    "    \"date\": ref_date,\n",
-    "    \"total_score\": sum(scores.values())\n",
-    "})\n",
-    "\n",
-    "for account, score in scores.items():\n",
-    "    score_history_accounts.append({\n",
-    "        \"date\": ref_date,\n",
-    "        \"account\": account,\n",
-    "        \"score\": score\n",
-    "    })\n",
-    "\n",
-    "dates_sorted = sorted(df['Centralisation Date'].unique(), reverse=True)\n",
-    "\n",
-    "alpha = 0.01\n",
-    "tol = 0.05\n",
-    "\n",
-    "for i in range(1, len(dates_sorted)):\n",
-    "\n",
-    "    date_t = dates_sorted[i-1]\n",
-    "    date_t1 = dates_sorted[i]\n",
-    "\n",
-    "    new_scores = scores.copy()\n",
-    "\n",
-    "    for account in scores.keys():\n",
-    "        decay = score_decay_vector_max(account, date_t, date_t1, tol=tol, alpha=alpha)\n",
-    "        new_scores[account] = scores[account] * decay\n",
-    "\n",
-    "    scores = new_scores\n",
-    "\n",
-    "    # score total\n",
-    "    score_history.append({\n",
-    "        \"date\": date_t1,\n",
-    "        \"total_score\": sum(scores.values())\n",
-    "    })\n",
-    "\n",
-    "    # score par compte\n",
-    "    for account, score in scores.items():\n",
-    "        score_history_accounts.append({\n",
-    "            \"date\": date_t1,\n",
-    "            \"account\": account,\n",
-    "            \"score\": score\n",
-    "        })"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 149,
-   "id": "76c1d97f-3e73-4305-a161-4a12abc9ffc2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>account</th>\n",
-       "      <th>score</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>420350</td>\n",
-       "      <td>0.048394</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>364765</td>\n",
-       "      <td>0.041236</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>200127454</td>\n",
-       "      <td>0.026188</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>312933</td>\n",
-       "      <td>0.024981</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>200127809</td>\n",
-       "      <td>0.024872</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        date    account     score\n",
-       "0 2025-10-31     420350  0.048394\n",
-       "1 2025-10-31     364765  0.041236\n",
-       "2 2025-10-31  200127454  0.026188\n",
-       "3 2025-10-31     312933  0.024981\n",
-       "4 2025-10-31  200127809  0.024872"
-      ]
-     },
-     "execution_count": 149,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "score_accounts_df = pd.DataFrame(score_history_accounts)\n",
-    "score_accounts_df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 150,
-   "id": "0e0239f2-ec24-4a43-925b-365a087de3e4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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UqzOopzKEhobCwsICS5YsgUql0opVHy+Xy2FjY4M1a9ZonfOTTz7BzZs3MWLEiHv2Z+zYsfj999/x0Ucf6ey7desWysrKaj22X79+cHZ2RkJCgtaSdxs3btQpoDt37gwAWsvRKZVKrF+//p59tLCwQGhoKL799lu9BaL62ocPH47jx49rLQtXVlaG9evXw8PDo85pNQ2RmpqKtLQ0zfbVq1fx9ddfY9iwYZpRaPVqFnffjxdeeAGWlpaIjY3V+XkQQuCPP/6o87OVSiXCwsKQmpqKXbt2ITAwsNbYF198Ed99953WMn4pKSk4f/48xowZo2kbNWoUrK2t8cEHH2j1JSEhAe7u7ggKCqqzT7V57733sGLFCixatAhz5869Z/ypU6dw7ty5WpfDKyoqQnV1tU77xx9/DAB65+EXFBTghx9+wPPPP693JZLi4mKdaTBCCCxduhQAEBwcfM9+E7VkHLEmIpN4/fXXUV5ejueffx4+Pj6oqqrC0aNHsWPHDnh4eGgeLuzSpQv++c9/4u2338aTTz6JF154AVKpFD///DPat2+PuLg4ODs7IzIyErGxsQgJCcHIkSORlZWFDz74AI899hheeumle/bn5Zdfxs6dOzFjxgwcOHAATzzxBJRKJTIzM7Fz507s3btXb6EC1MylXrp0KV599VU89dRTCAsLQ05ODj799FOdOdY9e/bE448/jsjISNy4cQNt27bF9u3bdR4IrM0777yDffv2YdCgQZplAfPy8rBr1y7873//g6OjIxYuXIjPP/8czzzzDObMmYO2bdti06ZNyMnJwZdffqnzEOj98vX1RXBwsNZye0DNMolq6ocb//nPf2LcuHGwtrbGc889h86dO2Pp0qWIjIzE5cuXERoaitatWyMnJwf//e9/MX36dLz55pu1fvYbb7yBb775Bs899xxu3LiBLVu2aO2/M/eLFi3Crl27MGTIEMydOxelpaV477330KtXL62HWTt06IDw8HC89957qK6uxmOPPYbExET8+OOP2Lp1q9aUlStXruCzzz4DAM1fdtRFaKdOnfDyyy8DAP773/9iwYIF8Pb2Rvfu3XX6OXToULi4uGi1bd26FUDt00AOHjyIOXPmYPTo0fD29kZVVRV+/PFHfPXVV+jXr5/en/sdO3bg9u3btZ4zLS0N48ePx/jx49GlSxfcunUL//3vf3HkyBFMnz4dffv21XscEf3FJGuREFGLt2fPHjF58mTh4+MjWrVqJWxsbESXLl3E66+/rvfNixs2bBB9+vQRUqlUPPTQQ2LQoEEiOTlZK2bt2rXCx8dHWFtbCxcXFzFz5kydNzvW9Va5qqoq8e6774qePXtqPsff31/ExsaKmzdv3vOaPvjgA+Hp6SmkUqno16+fOHz4sN43L168eFHI5XIhlUqFi4uLWLRokeYNgPdaJk2ImuXsJkyYIJydnYVUKhVeXl5i1qxZWkv9Xbx4UYwePVo4OjoKW1tb0b9/f/Hdd99pnUe93N6uXbu02tVLAt69pF9MTIwAoPUGQQBi1qxZYsuWLcLb21tIpVLRp08fvdfx9ttvC3d3d2FhYaGz9N6XX34pBgwYIOzt7YW9vb3w8fERs2bNEllZWXXeC/XyibV93S0jI0MMGzZMyGQy4ejoKP7xj38IhUKhE6dUKsU777wjOnXqJGxsbETPnj3Fli1bdOLU91Df1515V9+72r7uvl9KpVK4u7uLvn371nrtFy5cEBMmTBBeXl7Czs5O2Nraip49e4qYmBhRWlqq95jHH39ctGvXTuvtkXe6dOmSGDNmjPDw8BC2trZCJpMJf39/kZCQoFnOkYhqJxHCiE+hEBFRiyKRSDBr1iysXbvW1F0hIjI5zrEmIiIiIjICFtZEREREREbAwpqIiIiIyAi4KggRETUYH9MhIvobR6yJiIiIiIyAhTURERERkRFwKoiJqVQqXLt2Da1bt673a5SJiIiIqPEJIVBSUoL27dvX+ZItFtYmdu3aNXTs2NHU3SAiIiKie7h69So6dOhQ634W1ibWunVrADWJatOmzX2dq7q6Gvv27cOwYcNgbW1tjO6RkTFH5o85Mn/MkXljfswfc1R/xcXF6Nixo6Zuqw0LaxNTT/9o06aNUQprmUyGNm3a8BfFTDFH5o85Mn/MkXljfswfc9Rw95q2y4cXiYiIiIiMgIU1EREREZERsLAmIiIiIjICFtZEREREREbAwpqIiIiIyAhYWBMRERERGQELayIiIiIiI2BhTURERERkBHxBTAuSlJGH+B+ykVNYBk8ne4TLvRHi62bqbhERERE1CyysW4ikjDzM2JKm2c5SlGDGljS4O9qisLQKnk72GNTVCYfOF7LwJiIiImoATgVpIeJ/yMadL+EUf33/vagClbdVyFKU4MPDOchUlGi2Z2xJQ1JGnim6S0RERPTAYWHdQuQUlmmKaX3u3icASCTA6pTsRuwVERERUfPBqSAthKeTPbIUJXUW13cTAjifX4qQ+MOcHkJERER0DxyxbiHC5d6aUej6UKoEp4cQERERGYCFdQsR4uuGhJf6wse1NaRWFujwkB2Avwvtu+ttffU3p4cQERER1Y5TQVqQEF83rWkcSRl5WJ2SjUsFZfBytsdAb2cczi7QbGfnl+K2SnvyiBBAZl4JukXt4dQQIiIiojuwsG7B7i60ASAS3f/eH39Y77xsAWhNDXl1oKfWMn1cto+IiIhaIrOYCrJu3Tp4eHjA1tYWAQEBOH78eJ3xu3btgo+PD2xtbdGrVy/s3r1ba78QAtHR0XBzc4OdnR3kcjmys7WnLyxbtgxBQUGQyWRwdHTU+YzTp09j/Pjx6NixI+zs7NC9e3esXr1aJ+7gwYPo27cvpFIpunTpgo0bN9b7+s3VveZlqwvuDw/nIOuOedhcto+IiIhaIpMX1jt27EBERARiYmKQlpaG3r17Izg4GNevX9cbf/ToUYwfPx5TpkzBqVOnEBoaitDQUGRkZGhili9fjjVr1iAhIQHHjh2Dvb09goODUVFRoYmpqqrCmDFjMHPmTL2fc/LkSbRr1w5btmzBr7/+in/+85+IjIzE2rVrNTE5OTkYMWIEhgwZgvT0dISHh2Pq1KnYu3evke6Oad09L7uu5x7FXd/vbJcAmLs9Hd2i9iAk/jCLbCIiImqWJEKI+qzAZnQBAQF47LHHNAWrSqVCx44d8frrr2PhwoU68WFhYSgrK8N3332naXv88cfh5+eHhIQECCHQvn17vPHGG3jzzTcBADdv3oSLiws2btyIcePGaZ1v48aNCA8PR1FR0T37OmvWLJw7dw779+8HAPy///f/8P3332sV9ePGjUNRURGSkpIMuv7i4mI4ODjg5s2baNOmjUHH1Ka6uhq7d+/G8OHDYW1tfV/n0qe2qSH1IUFNsZ3wUt8WOT2ksXNE9485Mn/MkXljfswfc1R/htZrJp1jXVVVhZMnTyIyMlLTZmFhAblcjtTUVL3HpKamIiIiQqstODgYiYmJAGpGkRUKBeRyuWa/g4MDAgICkJqaqlNY18fNmzfRtm1brb7c+TnqvoSHh9d6jsrKSlRWVmq2i4uLAdT8kFdXVze4b+pz3Pnd2GYP9sLs7achkdQ8xKj+Xh/qEez4H87j6W5OjdFNs9bYOaL7xxyZP+bIvDE/5o85qj9D75VJC+vCwkIolUq4uLhotbu4uCAzM1PvMQqFQm+8QqHQ7Fe31RbTEEePHsWOHTvw/fff37MvxcXFuHXrFuzs7HTOExcXh9jYWJ32ffv2QSaTNbh/d0pOTjbKefSZ3FWCpN8scP0W0M4O8HFQYX+eJSQQEJrxaH3f/yYAnFeUYFDcXq3zZN60qHU7pIMKvR826T+uGFVj5oiMgzkyf8yReWN+zB9zZLjy8nKD4rgqiAEyMjIwatQoxMTEYNiwYfd1rsjISK0R9+LiYnTs2BHDhg0zylSQ5ORkDB06tNH+aWc4gMi72vb+mo+1By/iUmE5vJxkeLKLE368UIhLheWQoGYFkbupIMG1v35G88qBa+WWmn36tject8TUJzrhxwt/IOePcng+LMOTXR7W2n59SGcE93S5+6PMSlPkiO4Pc2T+mCPzxvyYP+ao/tQzDO7FpIW1k5MTLC0tkZ+fr9Wen58PV1dXvce4urrWGa/+np+fDzc3N60YPz+/evfx7NmzePrppzF9+nRERUUZ1Jc2bdroHa0GAKlUCqlUqtNubW1ttB9uY57LEM/6dcCzfh307kvKyMOMLWl1Th/R98Cjvu2Pj1zRtGXllyIrv1SzfT6/FLO3n35g5m43dY6o/pgj88ccmTfmx/wxR4Yz9D6ZdFUQGxsb+Pv7IyUlRdOmUqmQkpKCwMBAvccEBgZqxQM1/5Shjvf09ISrq6tWTHFxMY4dO1brOWvz66+/YsiQIZg4cSKWLVtW776Q7soiPq6tYWVRz/eqG4BvhSQiIiJTM/lUkIiICEycOBH9+vVD//79ER8fj7KyMkyaNAkAMGHCBLi7uyMuLg4AMHfuXAwaNAgrV67EiBEjsH37dpw4cQLr168HAEgkEoSHh2Pp0qXw9vaGp6cn3nrrLbRv3x6hoaGaz83NzcWNGzeQm5sLpVKJ9PR0AECXLl3QqlUrZGRk4KmnnkJwcDAiIiI087MtLS3h7OwMAJgxYwbWrl2LBQsWYPLkydi/fz927typNQ+bdF9EY4zVRfQRArhUUGbksxIREREZxuSFdVhYGAoKChAdHQ2FQgE/Pz8kJSVpHgrMzc2FhcXfA+tBQUHYtm0boqKisGjRInh7eyMxMRG+vr6amAULFqCsrAzTp09HUVERBgwYgKSkJNja2mpioqOjsWnTJs12nz59AAAHDhzA4MGD8cUXX6CgoABbtmzBli1bNHGdOnXC5cuXAdSMjn///feYN28eVq9ejQ4dOuDjjz9GcHBwo9yr5iJc7q09PQTa0z90tuux+oiXs73xOkpERERUDyZfx7qle5DWsTampIw8rE7JxqWCMng522OgtzMOZxfUuf3h4Uu1FuNqUwd4IurZHk19OQZ7kHLUUjFH5o85Mm/Mj/ljjurvgVjHmlquu6eHAEAkute53ecRx1qL8da2VigsrcK247k4eL4AV2+Uw9PJHuFy7wfiYUYiIiJ68LGwpgdGXcV4tVKFp1YexNUbt3Dhes1qIVmKEszYkgZ3R1sUllbB08keg7o64dD5QuQUlrHwJiIiIqMy6aogRMZibWkBKwvtH2f1VJHfiypQeVuFLEUJPjycg0xFiWZ7xpY0JGXkNX2HiYiIqNlhYU3NxrWiW3Xu17c+NpfoIyIiImNhYU3NhqeTPeq7QjaX6CMiIiJjYWFNzUa43FszCm0oCbhEHxERERkHC2tqNu5+y2OHh2peK68utPXV2wLA3Ke9m6yPRERE1HxxVRBqVu5eOaS29bIvXi9DtVIFAcCiPkPcRERERLVgYU3NWl1L9C1PysQHBy/iX3syMcSnHawt+Q84RERE1HAsrKnFmjm4M3aeuIpLhWUY8O5+FJVXc21rIiIiajAW1tRitba1xtAeLvj8+FXkF1cC0P9SGRbaREREZAj+2ze1aGm5RVrb+l4qw5fIEBERkSE4Yk0t2uXCutewVi/ft/T7c4j/IZuvQiciIqJaccSaWjRDXiojBPDbn7eQxVehExERUR1YWFOLVp+Xyog7vvNV6ERERHQ3FtbUot3zpTK1FNx8FToRERHdjXOsqcW710tlim9V41pRhWbEGqgpuPkqdCIiIroTC2uiu+grtGdsSdNsS1AzYj336a4m6B0RERGZK04FIboH9XSRh+1tAACtba2Q8JI/QnxdTdwzIiIiMicsrIkMEOLrhv+85A8AsLCQYGgPFxP3iIiIiMwNC2siA/V9xBEOdtYoKq9GWu6fpu4OERERmRkW1kQGsrK0wOBuzgCAlHPXTdwbIiIiMjcsrInq4enuNVNA9mfmm7gnREREZG5YWBPVwyBvZ1haSHA+vxRXb5SbujtERERkRkxeWK9btw4eHh6wtbVFQEAAjh8/Xmf8rl274OPjA1tbW/Tq1Qu7d+/W2i+EQHR0NNzc3GBnZwe5XI7sbO035C1btgxBQUGQyWRwdHTU+zlz5syBv78/pFIp/Pz89Mbs3LkTfn5+kMlk6NSpE9577z2Dr5seTA4ya/Tr9BAAIOUcR62JiIjobyYtrHfs2IGIiAjExMQgLS0NvXv3RnBwMK5f1z9/9ejRoxg/fjymTJmCU6dOITQ0FKGhocjIyNDELF++HGvWrEFCQgKOHTsGe3t7BAcHo6KiQhNTVVWFMWPGYObMmXX2b/LkyQgLC9O7b8+ePfjHP/6BGTNmICMjAx988AH+/e9/Y+3atQ24E/Qgkf81HSQlk/OsiYiI6G8mLaxXrVqFadOmYdKkSejRowcSEhIgk8mwYcMGvfGrV69GSEgI5s+fj+7du+Ptt99G3759NcWsEALx8fGIiorCqFGj8Oijj2Lz5s24du0aEhMTNeeJjY3FvHnz0KtXr1r7tmbNGsyaNQteXl5693/22WcIDQ3FjBkz4OXlhREjRiAyMhLvvvsuhBB6j6Hm4anu7QAAxy7dQGnlbRP3hoiIiMyFyd68WFVVhZMnTyIyMlLTZmFhAblcjtTUVL3HpKamIiIiQqstODhYUzTn5ORAoVBALpdr9js4OCAgIACpqakYN26c0fpfWVkJmUym1WZnZ4fffvsNV65cgYeHR63HVVZWaraLi4sBANXV1aiurr6vPqmPv9/zUN06OtjAuZUNCkqr4Be7D52d7fFkl4fx44U/kPNHOTwfluH1IZ0R3FN3rWvmyPwxR+aPOTJvzI/5Y47qz9B7ZbLCurCwEEqlEi4u2sWHi4sLMjMz9R6jUCj0xisUCs1+dVttMcYSHByMefPm4ZVXXsGQIUNw4cIFrFy5EgCQl5dXa2EdFxeH2NhYnfZ9+/bpFOoNlZycbJTzkH6n/5CgoNQSAHBbJZCVX4Ks/FIAAoAEWfklmL39NCZ3VaL3w/r/9YI5Mn/Mkfljjswb82P+mCPDlZcbtmCByQrrB920adNw8eJFPPvss6iurkabNm0wd+5cLF68GBYWtc+wiYyM1Bp1Ly4uRseOHTFs2DC0adPmvvpUXV2N5ORkDB06FNbW1vd1LqrdB2uPQoJS/F0yS3S+SyTA0WIHRL4cpHUsc2T+mCPzxxyZN+bH/DFH9aeeYXAvJiusnZycYGlpifx87ZUV8vPz4erqqvcYV1fXOuPV3/Pz8+Hm5qYVU9vKHg0lkUjw7rvv4p133oFCoYCzszNSUlIAoNZ52QAglUohlUp12q2trY32w23Mc5Guy3+U416z6IUAcgrLa80Dc2T+mCPzxxyZN+bH/DFHhjP0Ppns4UUbGxv4+/trilEAUKlUSElJQWBgoN5jAgMDteKBmn/GUMd7enrC1dVVK6a4uBjHjh2r9Zz3y9LSEu7u7rCxscHnn3+OwMBAODs7N8pnkXnwdLLXjE3Xxd3RrtH7QkRERObDpFNBIiIiMHHiRPTr1w/9+/dHfHw8ysrKMGnSJADAhAkT4O7ujri4OADA3LlzMWjQIKxcuRIjRozA9u3bceLECaxfvx5AzShyeHg4li5dCm9vb3h6euKtt95C+/btERoaqvnc3Nxc3LhxA7m5uVAqlUhPTwcAdOnSBa1atQIAXLhwAaWlpVAoFLh165YmpkePHrCxsUFhYSG++OILDB48GBUVFfj000+xa9cuHDp0qGluHplMuNwbM7akQSKpGZmWAHpHsK/cKEPXqD3wcrJHuNwbIb5ueqKIiIiouTBpYR0WFoaCggJER0dDoVDAz88PSUlJmocPc3NzteYrBwUFYdu2bYiKisKiRYvg7e2NxMRE+Pr6amIWLFiAsrIyTJ8+HUVFRRgwYACSkpJga2uriYmOjsamTZs023369AEAHDhwAIMHDwYATJ06VatIVsfk5ORoHkzctGkT3nzzTQghEBgYiIMHD6J///7GvUlkdkJ83ZDwUl+sTsnGpYIyeDnbY6C3Mw5nF+BSQRna2tsg72YFlCpAqVIhS1GCGVvSkPBSXzzdzcnU3SciIqJGIhFcdNmkiouL4eDggJs3bxrl4cXdu3dj+PDhnDNlQiHxh5GlKNEaxZZIAB/X1vjmtUDmyMzx98j8MUfmjfkxf8xR/Rlar5n8leZEzU1OYZnO1BAhgEsFZSbpDxERETUNFtZERqbv4UaJBPBytjdJf4iIiKhpsLAmMrJwufdfr4r5mxDA3Ke7mqpLRERE1ARYWBMZmfrhRh/X1pq2xc/1RIiv/vXZiYiIqHlgYU3UCEJ83bAnfCD8OjoCAB5uZWPaDhEREVGjY2FN1Ii6u9U8OZypMOxVqERERPTgYmFN1Ih6uNVMBzmXV2LinhAREVFjY2FN1Ih81CPWeRyxJiIiau5YWBM1om5/PcB47WYFisqrTNwbIiIiakwsrIkaURtba3R4yA4Ap4MQERE1dyysiRoZH2AkIiJqGVhYEzWy7q7qBxhZWBMRETVnLKyJGtnfI9acCkJERNScsbAmamTqlUGyFCW4rVSZuDdERETUWFhYEzWyTm1lsLO2ROVtFa7cuGXq7hAREVEjYWFN1MgsLCSaZfc4HYSIiKj5YmFN1AS63zEdhIiIiJonFtZETaC7+tXmLKyJiIiaLRbWRE1AM2KdX2rinhAREVFjYWFN1ATUc6zzblagrNrEnSEiIqJGwcKaqAnc+WrzvHITd4aIiIgaBQtroibSVmYDAFh31hLPrj2KpIw8E/eIiIiIjImFNVETSMrIwy+/3wQAqCDB+fxSzNiSxuKaiIioGWFhTdQE4n/IhuSObQFAIgFWp2SbqktERERkZCYvrNetWwcPDw/Y2toiICAAx48frzN+165d8PHxga2tLXr16oXdu3dr7RdCIDo6Gm5ubrCzs4NcLkd2tnbxsmzZMgQFBUEmk8HR0VHv58yZMwf+/v6QSqXw8/PTG7N37148/vjjaN26NZydnfHiiy/i8uXLhl46tSA5hWUQd7UJAVwqKDNJf4iIiMj4TFpY79ixAxEREYiJiUFaWhp69+6N4OBgXL9+XW/80aNHMX78eEyZMgWnTp1CaGgoQkNDkZGRoYlZvnw51qxZg4SEBBw7dgz29vYIDg5GRUWFJqaqqgpjxozBzJkz6+zf5MmTERYWpndfTk4ORo0ahaeeegrp6enYu3cvCgsL8cILLzTgTlBz5+lkrzViDQASAF7O9qboDhERETUCkxbWq1atwrRp0zBp0iT06NEDCQkJkMlk2LBhg9741atXIyQkBPPnz0f37t3x9ttvo2/fvli7di2AmtHq+Ph4REVFYdSoUXj00UexefNmXLt2DYmJiZrzxMbGYt68eejVq1etfVuzZg1mzZoFLy8vvftPnjwJpVKJpUuXonPnzujbty/efPNNpKeno7qa66mRtnC5t2b6h5oAkFdUgW5RexASf5jzrYmIiB5wVqb64KqqKpw8eRKRkZGaNgsLC8jlcqSmpuo9JjU1FREREVptwcHBmqI5JycHCoUCcrlcs9/BwQEBAQFITU3FuHHjjNZ/f39/WFhY4NNPP8Urr7yC0tJSfPbZZ5DL5bC2tq71uMrKSlRWVmq2i4uLAQDV1dX3XZCrj2dhb36e7uaEteN64/0DF3Dxeimk1lYoq1Ki6FZNrrIUJZixJQ1rx/VGcE8XE/e2ZePvkfljjswb82P+mKP6M/RemaywLiwshFKphIuLdhHh4uKCzMxMvccoFAq98QqFQrNf3VZbjLF4enpi3759GDt2LF599VUolUoEBgbqzPm+W1xcHGJjY3Xa9+3bB5lMZpS+JScnG+U8ZHyveQHwAt49DZRVAfhrgogAIIHAO9+kQ3lFacIekhp/j8wfc2TemB/zxxwZrrzcsJdQmKywftApFApMmzYNEydOxPjx41FSUoLo6GiMHj0aycnJkEjunlFbIzIyUmvUvbi4GB07dsSwYcPQpk2b++pTdXU1kpOTMXTo0DpHzcl01DkqrLQEoNLaJyBBYZUFhg8PNk3nCAB/jx4EzJF5Y37MH3NUf+oZBvdissLayckJlpaWyM/P12rPz8+Hq6ur3mNcXV3rjFd/z8/Ph5ubm1ZMbSt7NNS6devg4OCA5cuXa9q2bNmCjh074tixY3j88cf1HieVSiGVSnXara2tjfbDbcxzUePwdJLhfH6pzkohNpYWeG5dKnIKy+DpZI9wuTdCfN30noMaF3+PzB9zZN6YH/PHHBnO0PtksocXbWxs4O/vj5SUFE2bSqVCSkoKAgMD9R4TGBioFQ/U/DOGOt7T0xOurq5aMcXFxTh27Fit52yo8vJyWFho3z5LS0sANddBVJfXh3TWeZgRAEorbyNTUYLK2yrNvGs+1EhERPRgMOmqIBEREfjoo4+wadMmnDt3DjNnzkRZWRkmTZoEAJgwYYLWw41z585FUlISVq5ciczMTCxevBgnTpzA7NmzAQASiQTh4eFYunQpvvnmG5w5cwYTJkxA+/btERoaqjlPbm4u0tPTkZubC6VSifT0dKSnp6O0tFQTc+HCBaSnp0OhUODWrVuamKqqKgDAiBEj8PPPP2PJkiXIzs5GWloaJk2ahE6dOqFPnz5NcPfoQRbc0wUJL/WFj2trSK0s0N2tNR6Saf9tmC+RISIierCYdI51WFgYCgoKEB0dDYVCAT8/PyQlJWkePszNzdUaFQ4KCsK2bdsQFRWFRYsWwdvbG4mJifD19dXELFiwAGVlZZg+fTqKioowYMAAJCUlwdbWVhMTHR2NTZs2abbVhfCBAwcwePBgAMDUqVNx6NAhnZicnBx4eHjgqaeewrZt27B8+XIsX74cMpkMgYGBSEpKgp2dnfFvFjU7Ib5uWtM8ukXt0YnhS2SIiIgeHBIhxN3TPKkJFRcXw8HBATdv3jTKw4u7d+/G8OHDOWfKTNWVo5D4w8hSlOjMu7a2lMBCIoGnkz0GdXXCofOFnIPdiPh7ZP6YI/PG/Jg/5qj+DK3XuCoIkZkIl3tjxpY0SCQ1I9Vq1UoBQCBTUYJMRYmmXT0H+9WBniy2iYiIzIBJ51gT0d9CfN205l3bWNX966muvT88nIMsPvBIRERkciysicxIiK8b9swdiKylz0D/Suj6iTu+84FHIiIi02BhTWSmPJ3s61Vcq/GBRyIiItNgYU1kpsLl3lprXd9dZNfyck9IJICXs31jdo2IiIj0YGFNZKbunnPt49Yarw70Qne3v7Zda7bvJEHNiPXcp7uaptNEREQtGFcFITJjd691DQCR6K613ecRR7z++SlUKwUeeViGyGe6I8TXtSm7SUREROCINdEDL8TXDX4dHQEAC4J9WFQTERGZCAtromagXeuaN4teL6kwcU+IiIhaLhbWRM2Ac2spAOB6SaWJe0JERNRysbAmagbatfmrsC5mYU1ERGQqLKyJmgFOBSEiIjI9FtZEzUC71hyxJiIiMjUW1kTNgEsbjlgTERGZGgtromZAPWL9Z3k1qm6rTNwbIiKilomFNVEz4Cizho1lza9zQSmngxAREZkCC2uiZkAikfy95F4xp4MQERGZAgtromaCa1kTERGZFgtromaiHQtrIiIik2JhTdRMqF8SU8CpIERERCbBwpqomVC/JCafa1kTERGZBAtrombi76kgHLEmIiIyBRbWRM2EeioI51gTERGZBgtromZCPRWEhTUREZFpmEVhvW7dOnh4eMDW1hYBAQE4fvx4nfG7du2Cj48PbG1t0atXL+zevVtrvxAC0dHRcHNzg52dHeRyObKzs7Vili1bhqCgIMhkMjg6Our9nDlz5sDf3x9SqRR+fn46+xcvXgyJRKLzZW9vX6/rJzIG9Yj1H6WVUKqEiXtDRETU8pi8sN6xYwciIiIQExODtLQ09O7dG8HBwbh+/bre+KNHj2L8+PGYMmUKTp06hdDQUISGhiIjI0MTs3z5cqxZswYJCQk4duwY7O3tERwcjIqKv+eeVlVVYcyYMZg5c2ad/Zs8eTLCwsL07nvzzTeRl5en9dWjRw+MGTOmAXeC6P48bC+FhQRQiZrimoiIiJqWyQvrVatWYdq0aZg0aRJ69OiBhIQEyGQybNiwQW/86tWrERISgvnz56N79+54++230bdvX6xduxZAzWh1fHw8oqKiMGrUKDz66KPYvHkzrl27hsTERM15YmNjMW/ePPTq1avWvq1ZswazZs2Cl5eX3v2tWrWCq6ur5is/Px9nz57FlClTGn5DiBrI0kICp1acZ01ERGQqVqb88KqqKpw8eRKRkZGaNgsLC8jlcqSmpuo9JjU1FREREVptwcHBmqI5JycHCoUCcrlcs9/BwQEBAQFITU3FuHHjjH8hf/n444/RtWtXPPnkk7XGVFZWorLy76KnuLgYAFBdXY3q6ur7+nz18fd7Hmo8jZ0j59Y2uF5SiWt/lqFbO1mjfEZzx98j88ccmTfmx/wxR/Vn6L0yaWFdWFgIpVIJFxcXrXYXFxdkZmbqPUahUOiNVygUmv3qttpiGkNFRQW2bt2KhQsX1hkXFxeH2NhYnfZ9+/ZBJjNOIZScnGyU81DjaawciXILABZIOXoCty5ynvX94O+R+WOOzBvzY/6YI8OVl5cbFGfSwro5+e9//4uSkhJMnDixzrjIyEitEffi4mJ07NgRw4YNQ5s2be6rD9XV1UhOTsbQoUNhbW19X+eixtHYOTpS9SvOnvwdLh5dMXxIZ6OfvyXg75H5Y47MG/Nj/pij+lPPMLgXkxbWTk5OsLS0RH5+vlZ7fn4+XF1d9R6jnstcW7z6e35+Ptzc3LRi9K3sYSwff/wxnn32WZ2R8rtJpVJIpVKddmtra6P9cBvzXNQ4GitHrg52AIA/yqr5M3Cf+Htk/pgj88b8mD/myHCG3ieTPrxoY2MDf39/pKSkaNpUKhVSUlIQGBio95jAwECteKDmnzLU8Z6ennB1ddWKKS4uxrFjx2o95/3KycnBgQMH+NAimZxzG65lTUREZComnwoSERGBiRMnol+/fujfvz/i4+NRVlaGSZMmAQAmTJgAd3d3xMXFAQDmzp2LQYMGYeXKlRgxYgS2b9+OEydOYP369QAAiUSC8PBwLF26FN7e3vD09MRbb72F9u3bIzQ0VPO5ubm5uHHjBnJzc6FUKpGeng4A6NKlC1q1agUAuHDhAkpLS6FQKHDr1i1NTI8ePWBjY6M514YNG+Dm5oZnnnmmke8WUd3+fq05C2siIqKmZvLCOiwsDAUFBYiOjoZCoYCfnx+SkpI0Uypyc3NhYfH3wHpQUBC2bduGqKgoLFq0CN7e3khMTISvr68mZsGCBSgrK8P06dNRVFSEAQMGICkpCba2tpqY6OhobNq0SbPdp08fAMCBAwcwePBgAMDUqVNx6NAhnZicnBx4eHgAqBlh37hxI1555RVYWloa9+YQ1ZO6sC4orrhHJBERERmbyQtrAJg9ezZmz56td9/Bgwd12saMGVPnS1gkEgmWLFmCJUuW1BqzceNGbNy4sc5+6fvsu1lYWODq1av3jCNqCu3+mgpSUFoJIQQkEomJe0RERNRymPwFMURkPM5/vSCmWinwZznXJyUiImpK91VYV1VVISsrC7dv3zZWf4joPthYWaCtfc38/+slnA5CRETUlBpUWJeXl2PKlCmQyWTo2bMncnNzAQCvv/46/vWvfxm1g0RUP+p51vnFfICRiIioKTWosI6MjMTp06dx8OBBrQcC5XI5duzYYbTOEVH9OatXBuEDjERERE2qQQ8vJiYmYseOHXj88ce1Ho7q2bMnLl68aLTOEVH9tWvNtayJiIhMoUEj1gUFBWjXrp1Oe1lZGVchIDKxdm3+WnKPhTUREVGTalBh3a9fP3z//feabXUx/fHHHzfa2w2JyDB/vySGU0GIiIiaUoOmgrzzzjt45plncPbsWdy+fRurV6/G2bNncfToUa0XqhBR09NMBeHDi0RERE2qQSPWAwYMwOnTp3H79m306tUL+/btQ7t27ZCamgp/f39j95GI6kE9FYRzrImIiJpWvUesq6ur8eqrr+Ktt97CRx991Bh9IqL7cOdUEL59kYiIqOnUe8Ta2toaX375ZWP0hYiMQD0VpKJahZJKvryJiIioqTRoKkhoaCgSExON3BUiMoZD56/D4q9B6tC1R5CUkWfaDhEREbUQDXp40dvbG0uWLMGRI0fg7+8Pe3t7rf1z5swxSueIqH6SMvIwY0uaZjunsAwztqTh1YGeOHS+EDmFZfB0ske43Bshvm4m7CkREVHz06DC+pNPPoGjoyNOnjyJkydPau2TSCQsrIlMJP6HbEgAiL+21d8/PJyjac9SlGDGljQkvNSXxTUREZERNaiwzsnJMXY/iMgIcgrLNMX03e4stiUSYHVKNgtrIiIiI2rQHOs7CSEgRG1/lBNRU/J0socha4AIAVwqKGv0/hAREbUkDS6sN2/ejF69esHOzg52dnZ49NFH8dlnnxmzb0RUT+Fyb82INO74fjcJAC9ne/07iYiIqEEaVFivWrUKM2fOxPDhw7Fz507s3LkTISEhmDFjBv79738bu49EZKAQXzckvNQXPq6tIbWygI9ra7w60AuAdpEtAPxZXo1uUXsQEn+YK4cQEREZQYPmWL///vv4z3/+gwkTJmjaRo4ciZ49e2Lx4sWYN2+e0TpIRPUT4uumM3e6zyOOWJ2SjYvXy6ASArdVAoqbFQD4MCMREZGxNGjEOi8vD0FBQTrtQUFByMvjyBeRuQnxdcOeuQNxftkz6PSwTGvfnQ8zEhERUcM1qLDu0qULdu7cqdO+Y8cOeHt733eniKjx/PbnLZ02PsxIRER0/xo0FSQ2NhZhYWE4fPgwnnjiCQDAkSNHkJKSorfgJiLz4elkjyxFic6yfEqVQLeoPXyBDBERUQM1aMT6xRdfxLFjx+Dk5ITExEQkJibCyckJx48fx/PPP2/sPhKREd29cojabZVA5W2VZs41H2gkIiKqnwaNWAOAv78/tmzZYsy+EFETUK8csjolWzP9o/K2SrNfPZL99ndnEf9DNl+DTkREZKAGjVjv3r0be/fu1Wnfu3cv9uzZU69zrVu3Dh4eHrC1tUVAQACOHz9eZ/yuXbvg4+MDW1tb9OrVC7t379baL4RAdHQ03NzcYGdnB7lcjuxs7Yeyli1bhqCgIMhkMjg6Our9nDlz5sDf3x9SqRR+fn56Y4QQWLFiBbp27QqpVAp3d3csW7bM4GsnMhX1w4xZS5+pNeb3ogpkKUo4ik1ERGSgBhXWCxcuhFKp1GkXQmDhwoUGn2fHjh2IiIhATEwM0tLS0Lt3bwQHB+P69et6448ePYrx48djypQpOHXqFEJDQxEaGoqMjAxNzPLly7FmzRokJCTg2LFjsLe3R3BwMCoqKjQxVVVVGDNmDGbOnFln/yZPnoywsLBa98+dOxcff/wxVqxYgczMTHzzzTfo37+/wddPZA7qelujvtegExERkX4NKqyzs7PRo0cPnXYfHx9cuHDB4POsWrUK06ZNw6RJk9CjRw8kJCRAJpNhw4YNeuNXr16NkJAQzJ8/H927d8fbb7+Nvn37Yu3atQBqCvv4+HhERUVh1KhRePTRR7F582Zcu3YNiYmJmvPExsZi3rx56NWrV619W7NmDWbNmgUvLy+9+8+dO4f//Oc/+PrrrzFy5Eh4enrC398fQ4cONfj6icyBoW9r5MohREREdWvQHGsHBwdcunQJHh4eWu0XLlyAvb1hr0muqqrCyZMnERkZqWmzsLCAXC5Hamqq3mNSU1MRERGh1RYcHKwpmnNycqBQKCCXy7X6GhAQgNTUVIwbN86gvhni22+/hZeXF7777juEhIRACAG5XI7ly5ejbdu2tR5XWVmJyspKzXZxcTEAoLq6GtXV1ffVJ/Xx93seajzmmKOnuzlh7bjeWHvwIi4VlsPLSYbiW7eRd7NCa+UQCQBPJ5lZ9b0xmGOOSBtzZN6YH/PHHNWfofeqQYX1qFGjEB4ejv/+97/o3LkzgJqi+o033sDIkSMNOkdhYSGUSiVcXFy02l1cXJCZman3GIVCoTdeoVBo9qvbaosxlkuXLuHKlSvYtWsXNm/eDKVSiXnz5mH06NHYv39/rcfFxcUhNjZWp33fvn2QyWR6jqi/5ORko5yHGo855mimJwBPAKjC6T8k2HDTEhIIiL8miggAQW1u6jzX0FyZY45IG3Nk3pgf88ccGa68vNyguAYV1suXL0dISAh8fHzQoUMHAMDVq1cxcOBArFixoiGnfOCoVCpUVlZi8+bN6Nq1KwDgk08+gb+/P7KystCtWze9x0VGRmqNuhcXF6Njx44YNmwY2rRpc199qq6uRnJyMoYOHQpra+v7Ohc1jgclR8MB9P01H2sPXsSF62W4raopr5976gn4ut/fz6m5e1By1JIxR+aN+TF/zFH9qWcY3EuDp4IcPXoUycnJOH36NOzs7NC7d288+eSTBp/DyckJlpaWyM/P12rPz8+Hq6ur3mNcXV3rjFd/z8/Ph5ubm1ZMbSt7NJSbmxusrKw0RTUAdO/eHQCQm5tba2EtlUohlUp12q2trY32w23Mc1HjeBBy9KxfBzzrV/MX59c/P4VvT1/DuI+PQwDwagHL7z0IOWrpmCPzxvyYP+bIcIbep3o9vJiamorvvvsOACCRSDBs2DC0a9cOK1aswIsvvojp06drzR+ui42NDfz9/ZGSkqJpU6lUSElJQWBgoN5jAgMDteKBmn/GUMd7enrC1dVVK6a4uBjHjh2r9ZwN9cQTT+D27du4ePGipu38+fMAgE6dOhn1s4hMbUCXhwHUrHddxeX3iIiI9KpXYb1kyRL8+uuvmu0zZ85g2rRpGDp0KBYuXIhvv/0WcXFxBp8vIiICH330ETZt2oRz585h5syZKCsrw6RJkwAAEyZM0Hq4ce7cuUhKSsLKlSuRmZmJxYsX48SJE5g9ezaAmmI/PDwcS5cuxTfffIMzZ85gwoQJaN++PUJDQzXnyc3NRXp6OnJzc6FUKpGeno709HSUlpZqYi5cuID09HQoFArcunVLE1NVVQUAkMvl6Nu3LyZPnoxTp07h5MmTePXVVzF06FCtUWyi5uDTI5e1trn8HhERka56TQVJT0/H22+/rdnevn07+vfvj48++ggA0LFjR8TExGDx4sUGnS8sLAwFBQWIjo6GQqGAn58fkpKSNA8f5ubmwsLi79o/KCgI27ZtQ1RUFBYtWgRvb28kJibC19dXE7NgwQKUlZVh+vTpKCoqwoABA5CUlARbW1tNTHR0NDZt2qTZ7tOnDwDgwIEDGDx4MABg6tSpOHTokE5MTk4OPDw8YGFhgW+//Ravv/46Bg4cCHt7ezzzzDNYuXKlQddO9CDJKdRdZo/L7xEREWmrV2H9559/aq24cejQITzzzN9vbnvsscdw9erVenVg9uzZmhHnux08eFCnbcyYMRgzZkyt55NIJFiyZAmWLFlSa8zGjRuxcePGOvul77Pv1r59e3z55Zf3jCN60Hk62SNLUaK9/J4E8HI2bHlNIiKilqBeU0FcXFyQk5MDoGYd6rS0NDz++OOa/SUlJZwET9QMqV8ioyZBzYj13Kc57YmIiEitXoX18OHDsXDhQvz444+IjIyETCbTWgnkl19+0axrTUTNR4ivGxJe6gsHu5q/OD/cygYJL/kjxFf/Cj5EREQtUb0K67fffhtWVlYYNGgQPvroI3z00UewsbHR7N+wYQOGDRtm9E4SkemF+Lph5uCavzg/0cWJRTUREdFd6jXH2snJCYcPH8bNmzfRqlUrWFpaau3ftWsXWrVqZdQOEpH58HSqmVOt72FGIiKilq7BL4jRp23btvfVGSIyb15/FdaXCsoghIBEIjFxj4iIiMxHvaaCEFHL9sjDMlhIgNLK2ygoNexlUERERC0FC2siMpjUyhIdHpIBAHK4hjUREZEWFtZEVC/qedaXOM+aiIhICwtrIqoXPsBIRESkHwtrIqqXzs5/P8BIREREf2NhTUT14ulUs6RmTmGpiXtCRERkXlhYE1G9eP41Yp17oxy3lSoT94aIiMh8sLAmonpxa2MLW2sLVCsFfvvzlqm7Q0REZDZYWBNRvVhYSODxMB9gJCIiuhsLayKqN6+/poNcLOA8ayIiIjUW1kRUb1xyj4iISBcLayKqNy/NyiAsrImIiNRYWBNRvalXBmFhTURE9DcW1kRUb15/TQXJu1mB8qrbJu4NERGReWBhTUT15iizQVt7GwActSYiIlJjYU1EDcIHGImIiLSxsCaiBlEX1pcKWFgTEREBLKyJqIE4Yk1ERKSNhTURNUjnv1YGucTCmoiICICZFNbr1q2Dh4cHbG1tERAQgOPHj9cZv2vXLvj4+MDW1ha9evXC7t27tfYLIRAdHQ03NzfY2dlBLpcjOztbK2bZsmUICgqCTCaDo6Oj3s+ZM2cO/P39IZVK4efnp7P/8uXLkEgkOl8//fRTva6f6EH0e1EFAOD01SKExB9GUkaeiXtERERkWiYvrHfs2IGIiAjExMQgLS0NvXv3RnBwMK5fv643/ujRoxg/fjymTJmCU6dOITQ0FKGhocjIyNDELF++HGvWrEFCQgKOHTsGe3t7BAcHo6KiQhNTVVWFMWPGYObMmXX2b/LkyQgLC6sz5ocffkBeXp7my9/fvx53gOjBk5SRh7e/O6vZzlKUYMaWNBbXRETUolmZugOrVq3CtGnTMGnSJABAQkICvv/+e2zYsAELFy7UiV+9ejVCQkIwf/58AMDbb7+N5ORkrF27FgkJCRBCID4+HlFRURg1ahQAYPPmzXBxcUFiYiLGjRsHAIiNjQUAbNy4sda+rVmzBgBQUFCAX375pda4hx9+GK6urvW/eKIHVPwP2ZAAEH9tCwASCbD0+3OI/yEbOYVl8HSyx6CuTjh0vlCzHS73Roivmwl7TkRE1HhMWlhXVVXh5MmTiIyM1LRZWFhALpcjNTVV7zGpqamIiIjQagsODkZiYiIAICcnBwqFAnK5XLPfwcEBAQEBSE1N1RTWxjRy5EhUVFSga9euWLBgAUaOHFlrbGVlJSorKzXbxcXFAIDq6mpUV1ffVz/Ux9/veajxNJccXSos0xTVakIAv/15S1NwZylKkKko0exXj2qvHdcbwT1dmrK79dJcctScMUfmjfkxf8xR/Rl6r0xaWBcWFkKpVMLFRfsPWRcXF2RmZuo9RqFQ6I1XKBSa/eq22mKMpVWrVli5ciWeeOIJWFhY4Msvv0RoaCgSExNrLa7j4uI0o+V32rdvH2QymVH6lZycbJTzUON50HPkZGOJa7cBQKKzT2h9F5qYmv8SeOebdCivKJuim/flQc9RS8AcmTfmx/wxR4YrLy83KM7kU0EeZE5OTlqj54899hiuXbuG9957r9bCOjIyUuuY4uJidOzYEcOGDUObNm3uqz/V1dVITk7G0KFDYW1tfV/nosbRXHJk2Skfs7efhkRSM1J957QQbdqFt4AEhVUWGD48uAl62TDNJUfNGXNk3pgf88cc1Z96hsG9mLSwdnJygqWlJfLz87Xa8/Pza52z7OrqWme8+nt+fj7c3Ny0YvSt7GFsAQEBdf4NUCqVQiqV6rRbW1sb7YfbmOeixvGg5+hZvw6wsrLE6pRsXCoog5ezPYpvVeNaUUUtBXYNiaRmmb4H4dof9By1BMyReWN+zB9zZDhD75NJVwWxsbGBv78/UlJSNG0qlQopKSkIDAzUe0xgYKBWPFDzTxnqeE9PT7i6umrFFBcX49ixY7We05jS09O1Cnqi5irE1w175g5E1tJnsGfuQLz1bA/NQ4yAvkkiNaPbc5/u2pTdJCIiajImnwoSERGBiRMnol+/fujfvz/i4+NRVlamWSVkwoQJcHd3R1xcHABg7ty5GDRoEFauXIkRI0Zg+/btOHHiBNavXw8AkEgkCA8Px9KlS+Ht7Q1PT0+89dZbaN++PUJDQzWfm5ubixs3biA3NxdKpRLp6ekAgC5duqBVq1YAgAsXLqC0tBQKhQK3bt3SxPTo0QM2NjbYtGkTbGxs0KdPHwDAV199hQ0bNuDjjz9ugjtHZF5CfN2Q8FJfrVHsgd7O+P5MHn778xakVhZYPa4PQny5gg4RETVPJi+sw8LCUFBQgOjoaCgUCvj5+SEpKUnz8GFubi4sLP4eWA8KCsK2bdsQFRWFRYsWwdvbG4mJifD19dXELFiwAGVlZZg+fTqKioowYMAAJCUlwdbWVhMTHR2NTZs2abbVxfGBAwcwePBgAMDUqVNx6NAhnZicnBx4eHgAqFnu78qVK7CysoKPjw927NiB0aNHG/cmET0gQnzddJbTmzLAE/3fSUGVUoWgLg+bqGdERESNz+SFNQDMnj0bs2fP1rvv4MGDOm1jxozBmDFjaj2fRCLBkiVLsGTJklpjNm7cWOca1rV99p0mTpyIiRMn1hlD1NK1a2OLjm3tcPXGLZy+WoQnvZ1N3SUiIqJGYfI3LxJR8+f/yEMAgJNX/jRxT4iIiBoPC2sianT+nVhYExFR88fCmogaXd+/Cuv03CIoVXUtyEdERPTgYmFNRI2um0tr2NtYoqTyNrKvl9z7ACIiogcQC2sianRWlhbwe8QRAKeDEBFR88XCmoiaBB9gJCKi5o6FNRE1CfU86zQW1kRE1EyxsCaiJtHnrxHry3+U44/SShP3hoiIyPhYWBNRk3Cws4Z3u1YAgLTcItN2hoiIqBGwsCaiJsP1rImIqDljYU1ETYbzrImIqDmzMnUHiKjlUI9Y/3z5BrpG7YGXkz0GdXXCofOFyCksg6eTPcLl3gjxdTNxT4mIiOqPhTURNZnzipqXwwgAVbdVyFKUIFPx9wtjshQlmLElDe6OtigsrWKhTUREDxROBSGiJrM6JVtr++6Xm6u3fy+qQOVfhfeMLWlIyshrkv4RERHdDxbWRNRkcgrL6hUvAEgkugU5ERGROWJhTURNxtPJHpJ6HiMEcKmgfgU5ERGRKbCwJqImEy731oxCAzCoyJZIAC9n+8bsFhERkVGwsCaiJhPi64aEl/rCx7U1pFYW8HFrjVcHeqG7W812h4fsAPxdeAM1I9Zzn+5qoh4TEREZjquCEFGTCvF101nlIxLdNf+dlJGH1SnZOK8ohVII9O7ggBBf16buJhERUb1xxJqIzEqIrxv2zB2IPeFPAgDO5hXjz7IqE/eKiIjo3lhYE5FZ6urSGj3c2qBaKfD9GS63R0RE5o+FNRGZref7uAMAEk/9buKeEBER3RsLayIyWyP92kMiAU5c+RO5f5SbujtERER1YmFNRGbLpY0tnujsBABITOeoNRERmTezKKzXrVsHDw8P2NraIiAgAMePH68zfteuXfDx8YGtrS169eqF3bt3a+0XQiA6Ohpubm6ws7ODXC5Hdrb2m9uWLVuGoKAgyGQyODo66v2cOXPmwN/fH1KpFH5+fnX26cKFC2jdunWt5yKihgn9azrI2v3Z6Ba1ByHxhxG3+yxC4g/Xus1XoBMRkSmYvLDesWMHIiIiEBMTg7S0NPTu3RvBwcG4fv263vijR49i/PjxmDJlCk6dOoXQ0FCEhoYiIyNDE7N8+XKsWbMGCQkJOHbsGOzt7REcHIyKigpNTFVVFcaMGYOZM2fW2b/JkycjLCyszpjq6mqMHz8eTz75ZD2unIgMYWlRs6h1lVKg8rYKWYoSfHg4B5mKklq3Z2xJY3FNRERNzuSF9apVqzBt2jRMmjQJPXr0QEJCAmQyGTZs2KA3fvXq1QgJCcH8+fPRvXt3vP322+jbty/Wrl0LoGa0Oj4+HlFRURg1ahQeffRRbN68GdeuXUNiYqLmPLGxsZg3bx569epVa9/WrFmDWbNmwcvLq85riIqKgo+PD8aOHVv/G0BEdfrw0EWtbXHXfn3bEgmwOiUbRERETcmkL4ipqqrCyZMnERkZqWmzsLCAXC5Hamqq3mNSU1MRERGh1RYcHKwpmnNycqBQKCCXyzX7HRwcEBAQgNTUVIwbN86o17B//37s2rUL6enp+Oqrr+4ZX1lZicrKSs12cXExgJpR7+rq6vvqi/r4+z0PNR7mqP4uFZbV+xghgIsFZQ26z8yR+WOOzBvzY/6Yo/oz9F6ZtLAuLCyEUqmEi4uLVruLiwsyMzP1HqNQKPTGKxQKzX51W20xxvLHH3/glVdewZYtW9CmTRuDjomLi0NsbKxO+759+yCTyYzSr+TkZKOchxoPc2Q4JxtLXLsNAHe857xmXLrObScbpc7zF/XBHJk/5si8MT/mjzkyXHm5YStT8ZXm92HatGn4v//7PwwcONDgYyIjI7VG3IuLi9GxY0cMGzbM4OK8NtXV1UhOTsbQoUNhbW19X+eixsEc1Z9lp3zM3n4aEknNSLQEgLijiL57W936z1G9MayHC+qLOTJ/zJF5Y37MH3NUf+oZBvdi0sLayckJlpaWyM/P12rPz8+Hq6ur3mNcXV3rjFd/z8/Ph5ubm1bMvVb2qK/9+/fjm2++wYoVKwDUzO9WqVSwsrLC+vXrMXnyZJ1jpFIppFKpTru1tbXRfriNeS5qHMyR4Z716wArK0usTsnGpYIyeDnbY6C3Mw5nF+hsX7heimqlgJWFBI95Od3XPWaOzB9zZN6YH/PHHBnO0Ptk0sLaxsYG/v7+SElJQWhoKABApVIhJSUFs2fP1ntMYGAgUlJSEB4ermlLTk5GYGAgAMDT0xOurq5ISUnRFNLFxcU4duzYPVcAqa/U1FQolUrN9tdff413330XR48ehbu7u1E/i6glC/F1Q4ivm1ZbJLrr3X7hgyNIyy3C5qNX8GZwtybrIxERkcmngkRERGDixIno168f+vfvj/j4eJSVlWHSpEkAgAkTJsDd3R1xcXEAgLlz52LQoEFYuXIlRowYge3bt+PEiRNYv349AEAikSA8PBxLly6Ft7c3PD098dZbb6F9+/aa4h0AcnNzcePGDeTm5kKpVCI9PR0A0KVLF7Rq1QpAzdrUpaWlUCgUuHXrliamR48esLGxQffu2n+wnzhxAhYWFvD19W3EO0ZEdZn2pBdmbk3DlmNX8NqQzpDZmPx/c0RE1EKY/E+csLAwFBQUIDo6GgqFAn5+fkhKStI8fJibmwsLi79XBQwKCsK2bdsQFRWFRYsWwdvbG4mJiVrF7IIFC1BWVobp06ejqKgIAwYMQFJSEmxtbTUx0dHR2LRpk2a7T58+AIADBw5g8ODBAICpU6fi0KFDOjE5OTnw8PAw+r0govs3rKcrHmkrQ+6Ncnx58je8HOhh6i4REVELIRFC3L0MLDWh4uJiODg44ObNm0Z5eHH37t0YPnw450yZKeaoaWw8koPF356FtaUEEokEXk72GNTVCYfOFyKnsAyeerbD5d4AgH8nn8fF6yXo3K41Bndz1om5e0oKNT3+Hpk35sf8MUf1Z2i9ZvIRayIiY3OU2QAAqpUCgECmogSZihLN/ru31W9rBP5eZeR8fimy8kt1YtwdbVFYWqVVjMf/kH3Pgr2umIYcoy+GhT8RkWmxsCaiZifhrrc13ovQ89+1veHx96IKADXFuboYV9NXwBsSU3eRb1hMbYU/C20ioqZj8leaExEZW04D3tZoLvQV+YbE3Fn4V95WaQrtpIw8o/eRiIj044g1ETU7nk72yFKU1FqYtgTqd1HO3Z4OIJ0j2ERETYAj1kTU7ITLvWsKy79eyKj7Xsa7tiW6/313zINIAKi8reIINhFRE2FhTUTNToivGxJe6gsf19aQWlnAx601Xh3ohe5utWy7tkbCS/5IeKkvurm0gpVEoJtrK62YDg/ZAbij8DagGDcopiHH6Im5F/UI9tLvzyEk/jC6Re1BSPxhFtpEREbEqSBE1CzV522Nd3q6m9Nfy1AFwdraWismKSNP69Xqc5/uCkDU+bp1Q2IacszdMc6tpfjtz1uQSIDaFlEVQE0Man/gsaErlHCKCRERC2siIoPpK9bV7XfSV7A3pMiv73nvLPyBmmkg+uh74BEwfPURfTGvDvS85xKCLL6JqLljYU1E1EzcWfgnZeRhxpY0zQh2XSPZtanPMoQfHs65Z/HNpQCJqLnjHGsiomZIZ565a2u4O9o26kOZhqwBzgcpiag544g1EVEzdffUlbtHsU1FvWLL6pRsjloTUbPCEWsiohbi7lFsnZVO7oqv7wol9SEENHPBiYiaC45YExG1IPpGsY2xqsmHhy/9PZ8btb81Uk0iAbyc7RvzUomImhwLayKiFsyQZQnVcXXF9HnEsdbiW70U4J2EwF9FOxFR88HCmoiI7tu9CvSkjDws+e4srhVVQGZjiVVj/RDi69rU3SQialScY01ERI0uxNcN8WF9AADOraUsqomoWWJhTURETcLNwRYAkFdUAZXKhMuSEBE1EhbWRETUJFwdbCGRAFVKFf4oqzJ1d4iIjI6FNRERNQlrSws4t5ICAPJu3rpHNBHRg4eFNRERNZn2jjVrZ18rqjBxT4iIjI+FNRERNZn2jn/Ns+aINRE1QyysiYioybg5qEesWVgTUfPDwpqIiJqMemWQazc5FYSImh8W1kRE1GTUc6zzOGJNRM2QWRTW69atg4eHB2xtbREQEIDjx4/XGb9r1y74+PjA1tYWvXr1wu7du7X2CyEQHR0NNzc32NnZQS6XIzs7Wytm2bJlCAoKgkwmg6Ojo97PmTNnDvz9/SGVSuHn56ezPysrC0OGDIGLiwtsbW3h5eWFqKgoVFdX1+v6iYhaCk1hzRFrImqGTF5Y79ixAxEREYiJiUFaWhp69+6N4OBgXL9+XW/80aNHMX78eEyZMgWnTp1CaGgoQkNDkZGRoYlZvnw51qxZg4SEBBw7dgz29vYIDg5GRcXf/yOvqqrCmDFjMHPmzDr7N3nyZISFhendZ21tjQkTJmDfvn3IyspCfHw8PvroI8TExDTgThARNX/t/5oKkl9cgdtKlYl7Q0RkXFam7sCqVaswbdo0TJo0CQCQkJCA77//Hhs2bMDChQt14levXo2QkBDMnz8fAPD2228jOTkZa9euRUJCAoQQiI+PR1RUFEaNGgUA2Lx5M1xcXJCYmIhx48YBAGJjYwEAGzdurLVva9asAQAUFBTgl19+0dnv5eUFLy8vzXanTp1w8OBB/Pjjjw24E0REzZ9TKymsLSWoVgpcL6nUjGATETUHJi2sq6qqcPLkSURGRmraLCwsIJfLkZqaqveY1NRUREREaLUFBwcjMTERAJCTkwOFQgG5XK7Z7+DggICAAKSmpmoK68Zw4cIFJCUl4YUXXqg1prKyEpWVlZrt4uJiAEB1dfV9TyFRH8+pKOaLOTJ/zFHjc2ktxW9FFcgtLIGzff3/GGKOzBvzY/6Yo/oz9F6ZtLAuLCyEUqmEi4uLVruLiwsyMzP1HqNQKPTGKxQKzX51W20xxhYUFIS0tDRUVlZi+vTpWLJkSa2xcXFxmtHyO+3btw8ymcwo/UlOTjbKeajxMEfmjzlqPFKlJQAJ9hz6CflOosHnYY7MG/Nj/pgjw5WXlxsUZ/KpIM3Bjh07UFJSgtOnT2P+/PlYsWIFFixYoDc2MjJSa8S9uLgYHTt2xLBhw9CmTZv76kd1dTWSk5MxdOhQWFtb39e5qHEwR+aPOWp8P5T9gou/KODi5YPhAzzrfTxzZN6YH/PHHNWfeobBvZi0sHZycoKlpSXy8/O12vPz8+Hq6qr3GFdX1zrj1d/z8/Ph5uamFaNvZQ9j6NixIwCgR48eUCqVmD59Ot544w1YWlrqxEqlUkilUp12a2tro/1wG/Nc1DiYI/PHHDWeDm3tAQDXS6rv6x4zR+aN+TF/zJHhDL1PJl0VxMbGBv7+/khJSdG0qVQqpKSkIDAwUO8xgYGBWvFAzT9lqOM9PT3h6uqqFVNcXIxjx47Vek5jUqlUqK6uhkrFp92JiPRRrwzCty8SUXNj8qkgERERmDhxIvr164f+/fsjPj4eZWVlmlVCJkyYAHd3d8TFxQEA5s6di0GDBmHlypUYMWIEtm/fjhMnTmD9+vUAAIlEgvDwcCxduhTe3t7w9PTEW2+9hfbt2yM0NFTzubm5ubhx4wZyc3OhVCqRnp4OAOjSpQtatWoFoOZhxNLSUigUCty6dUsT06NHD9jY2GDr1q2wtrZGr169IJVKceLECURGRiIsLIx/AyQiqoXmteY3WVgTUfNi8sI6LCwMBQUFiI6OhkKhgJ+fH5KSkjQPH+bm5sLC4u+B9aCgIGzbtg1RUVFYtGgRvL29kZiYCF9fX03MggULUFZWhunTp6OoqAgDBgxAUlISbG1tNTHR0dHYtGmTZrtPnz4AgAMHDmDw4MEAgKlTp+LQoUM6MTk5OfDw8ICVlRXeffddnD9/HkIIdOrUCbNnz8a8efOMf6OIiJoJN8ea/xfnFfElMUTUvJi8sAaA2bNnY/bs2Xr3HTx4UKdtzJgxGDNmTK3nk0gkWLJkSZ2rc2zcuLHONaxr++w7hYWF1fryGCIi0q/9XyPWf5RVoaJaCVtr3edRiIgeRCZ/8yIREbUsjjJr2FrX/PGj4KvNiagZYWFNRERNSiKRaN64yHnWRNScsLAmIqImp54OwnnWRNScsLAmIqIm58Yl94ioGWJhTURETc5NMxWEI9ZE1HywsCYioianfklMHudYE1EzwsKaiIianPrhRc6xJqLmhIU1ERE1ufZ/vSSGq4IQUXPCwpqIiJqc+rXmJRW3UVJRbeLeEBEZBwtrIiJqcvZSK7SxrXn5bx4fYCSiZoKFNRERmYTmJTFcco+ImgkrU3eAiIhaJisLCQBg6qYT6NKuFQZ1dcKh84XIKSyDp5O9zna43BsA8O/k87h43RIfXDqKeUO7IsTXzZSXQUSkwcKaiIiaXFJGHjKuFQMAbqsEMhUlyFSUaPbr256xJe2OM0hwPr8UM7akIeGlviyuicgscCoIERE1ufgfsu/7HAKARAKsTrn/cxERGQMLayIianI5hWVGOY8QwKUC45yLiOh+cSoIERE1OU8ne2QpSiCMcC6VEOgWtafOednxP2Tfc+52XTFNdd7m0P+DWQVac+AftP4/yPff0GOaW47MaSqYRAhhjP+vUQMVFxfDwcEBN2/eRJs2be7rXNXV1di9ezeGDx8Oa2trI/WQjIk5Mn/MUdNIysjDjC1pkEhqRp0lgFaRrbP9V9zd/12XO89x9/nqE9NU522qz2H/DfOg9f9B64sxc9QUz1kYWq9xKggRETW5EF83JLzUFz6urSG1soCPW2u8OtAL3d1q2XZtjYSX/JHwUl90c2kFK4mAjVXdf4SJWv67vjFNdd6m+hz237SfY8rzmlNfjJUjc3vOglNBiIjIJEJ83XRGmSLRvc5tAHi6mxN2796N+T9bNmr/iMj8mdtzFhyxJiKiB5LnwzJITN0JIjIpiQTwcrY3dTc0WFgTEdED6fUhnTX/FAxAp8iWSHT/u0ExTXXepvoc9t+0n2PK85pTX4yUIyGAuU93hbngVBAiInogBfd0QcJLfbE6JRuXCsrg5WyPgd7OOJxdoNmu+QNX3HdMU523OfT/0PnruJBfgi4urREu7/bA9f9Bvv+GHtPcchTi69qk/++pC1cFMTGuCtKyMEfmjzkyf8yReWN+zB9zVH9cFYSIiIiIqAmZRWG9bt06eHh4wNbWFgEBATh+/Hid8bt27YKPjw9sbW3Rq1cv7N69W2u/EALR0dFwc3ODnZ0d5HI5srO1l2JZtmwZgoKCIJPJ4OjoqPdz5syZA39/f0ilUvj5+ensP3jwIEaNGgU3NzfY29vDz88PW7durde1ExEREVHzYPLCeseOHYiIiEBMTAzS0tLQu3dvBAcH4/r163rjjx49ivHjx2PKlCk4deoUQkNDERoaioyMDE3M8uXLsWbNGiQkJODYsWOwt7dHcHAwKioqNDFVVVUYM2YMZs6cWWf/Jk+ejLCwsFr78uijj+LLL7/EL7/8gkmTJmHChAn47rvvGnAniIiIiOiBJkysf//+YtasWZptpVIp2rdvL+Li4vTGjx07VowYMUKrLSAgQLz66qtCCCFUKpVwdXUV7733nmZ/UVGRkEql4vPPP9c536effiocHBzq7GNMTIzo3bu3QdczfPhwMWnSJINihRDi5s2bAoC4efOmwcfUpqqqSiQmJoqqqqr7Phc1DubI/DFH5o85Mm/Mj/ljjurP0HrNpKuCVFVV4eTJk4iMjNS0WVhYQC6XIzU1Ve8xqampiIiI0GoLDg5GYmIiACAnJwcKhQJyuVyz38HBAQEBAUhNTcW4ceOMfyF3uHnzJrp3132hgVplZSUqKys128XFxQBqHiSorq6+r89WH3+/56HGwxyZP+bI/DFH5o35MX/MUf0Zeq9MWlgXFhZCqVTCxcVFq93FxQWZmZl6j1EoFHrjFQqFZr+6rbaYxrJz5078/PPP+PDDD2uNiYuLQ2xsrE77vn37IJPJjNKP5ORko5yHGg9zZP6YI/PHHJk35sf8MUeGKy8vNyiO61gbyYEDBzBp0iR89NFH6NmzZ61xkZGRWiPuxcXF6NixI4YNG2aU5faSk5MxdOhQLp9jppgj88ccmT/myLwxP+aPOao/9QyDezFpYe3k5ARLS0vk5+drtefn58PVVf9i366urnXGq7/n5+fDzc1NK0bfyh7GcOjQITz33HP497//jQkTJtQZK5VKIZVKddqtra2N9sNtzHNR42COzB9zZP6YI/PG/Jg/5shwht4nkxbWNjY28Pf3R0pKCkJDQwEAKpUKKSkpmD17tt5jAgMDkZKSgvDwcE1bcnIyAgMDAQCenp5wdXVFSkqKppAuLi7GsWPH7rkCSEMcPHgQzz77LN59911Mnz693seLv97PY+jfhOpSXV2N8vJyFBcX8xfFTDFH5o85Mn/MkXljfswfc1R/6jpN3Ou9ik3yKGUdtm/fLqRSqdi4caM4e/asmD59unB0dBQKhUIIIcTLL78sFi5cqIk/cuSIsLKyEitWrBDnzp0TMTExwtraWpw5c0YT869//Us4OjqKr7/+Wvzyyy9i1KhRwtPTU9y6dUsTc+XKFXHq1CkRGxsrWrVqJU6dOiVOnTolSkpKNDHZ2dni1KlT4tVXXxVdu3bVxFRWVgohhNi/f7+QyWQiMjJS5OXlab7++OMPg6//6tWrAgC/+MUvfvGLX/ziF7/M/Ovq1at11nVm8UrztWvX4r333oNCoYCfnx/WrFmDgIAAAMDgwYPh4eGBjRs3auJ37dqFqKgoXL58Gd7e3li+fDmGDx+u2S+EQExMDNavX4+ioiIMGDAAH3zwAbp27aqJeeWVV7Bp0yadvhw4cACDBw/WfPahQ4d0YnJycuDh4VHrOQYNGoSDBw8adO0qlQrXrl1D69atIZFIDDqmNur52levXr3v+drUOJgj88ccmT/myLwxP+aPOao/IQRKSkrQvn17WFjU/hoYsyisyTgMfY89mQ5zZP6YI/PHHJk35sf8MUeNx+RvXiQiIiIiag5YWBMRERERGQEL62ZEKpUiJiZG73J+ZB6YI/PHHJk/5si8MT/mjzlqPJxjTURERERkBByxJiIiIiIyAhbWRERERERGwMKaiIiIiMgIWFgTERERERkBC2szEhcXh8ceewytW7dGu3btEBoaiqysLK2YiooKzJo1Cw8//DBatWqFF198Efn5+Zr9p0+fxvjx49GxY0fY2dmhe/fuWL16tc5nVVZW4p///Cc6deoEqVQKDw8PbNiwodGv8UHXlDlSO3LkCKysrODn59dYl9WsNFWOvvrqKwwdOhTOzs5o06YNAgMDsXfv3ia5xgddU/4eHTx4EH379oVUKkWXLl203uJLtTNGjgBgzpw58Pf3h1QqrfX/YXv37sXjjz+O1q1bw9nZGS+++CIuX77cSFfWfDRljoQQWLFiBbp27QqpVAp3d3csW7assS7tgcbC2owcOnQIs2bNwk8//YTk5GRUV1dj2LBhKCsr08TMmzcP3377LXbt2oVDhw7h2rVreOGFFzT7T548iXbt2mHLli349ddf8c9//hORkZFYu3at1meNHTsWKSkp+OSTT5CVlYXPP/8c3bp1a7JrfVA1ZY4AoKioCBMmTMDTTz/dJNfXHDRVjg4fPoyhQ4di9+7dOHnyJIYMGYLnnnsOp06datLrfRA1VY5ycnIwYsQIDBkyBOnp6QgPD8fUqVP5FyADGCNHapMnT0ZYWJjez8nJycGoUaPw1FNPIT09HXv37kVhYaHe85C2psoRAMydOxcff/wxVqxYgczMTHzzzTfo379/o1zXA0+Q2bp+/boAIA4dOiSEEKKoqEhYW1uLXbt2aWLOnTsnAIjU1NRaz/Paa6+JIUOGaLb37NkjHBwcxB9//NF4nW8hGitHamFhYSIqKkrExMSI3r17G73/LUFj5+hOPXr0ELGxscbpeAvSWDlasGCB6Nmzp1ZMWFiYCA4ONvIVNH/3m6Pa/h+2a9cuYWVlJZRKpabtm2++ERKJRFRVVRn/QpqxxsrR2bNnhZWVlcjMzGy0vjcnHLE2Yzdv3gQAtG3bFkDNCE11dTXkcrkmxsfHB4888ghSU1PrPI/6HADwzTffoF+/fli+fDnc3d3RtWtXvPnmm7h161YjXUnz1Vg5AoBPP/0Uly5dQkxMTCP0vOVozBzdSaVSoaSkpM4Y0q+xcpSamqp1DgAIDg6u8xykn7FydDd/f39YWFjg008/hVKpxM2bN/HZZ59BLpfD2trauBfRzDVWjr799lt4eXnhu+++g6enJzw8PDB16lTcuHHDuBfQTFiZugOkn0qlQnh4OJ544gn4+voCABQKBWxsbODo6KgV6+LiAoVCofc8R48exY4dO/D9999r2i5duoT//e9/sLW1xX//+18UFhbitddewx9//IFPP/200a6puWnMHGVnZ2PhwoX48ccfYWXFX9OGaswc3W3FihUoLS3F2LFjjdb/lqAxc6RQKODi4qJzjuLiYty6dQt2dnbGvZhmylg50sfT0xP79u3D2LFj8eqrr0KpVCIwMBC7d+825iU0e42Zo0uXLuHKlSvYtWsXNm/eDKVSiXnz5mH06NHYv3+/MS+jWeCf2GZq1qxZyMjIwP/+978GnyMjIwOjRo1CTEwMhg0bpmlXqVSQSCTYunUrHBwcAACrVq3C6NGj8cEHH/APGwM1Vo6USiX+7//+D7GxsejatauxutsiNebv0Z22bduG2NhYfP3112jXrl2DP6slaqocUcMZI0e1USgUmDZtGiZOnIjx48ejpKQE0dHRGD16NJKTkyGRSIz+mc1RY+ZIpVKhsrISmzdv1vyZ9Mknn8Df3x9ZWVl8PusunApihmbPno3vvvsOBw4cQIcOHTTtrq6uqKqqQlFRkVZ8fn4+XF1dtdrOnj2Lp59+GtOnT0dUVJTWPjc3N7i7u2uKagDo3r07hBD47bffjH9BzVBj5qikpAQnTpzA7NmzYWVlBSsrKyxZsgSnT5+GlZUVRwgM1Ni/R2rbt2/H1KlTsXPnTp1pB1S3xs6Rq6urzgoI+fn5aNOmDQcQDGSMHNVl3bp1cHBwwPLly9GnTx8MHDgQW7ZsQUpKCo4dO2asy2jWGjtHbm5usLKy0hro6d69OwAgNzf3/jrfHJl6kjf9TaVSiVmzZon27duL8+fP6+xXP4jwxRdfaNoyMzN1HkTIyMgQ7dq1E/Pnz9f7OR9++KGws7MTJSUlmrbExERhYWEhysvLjXhFzU9T5EipVIozZ85ofc2cOVN069ZNnDlzRpSWljbOxTUTTfV7JIQQ27ZtE7a2tiIxMdG4F9HMNVWOFixYIHx9fbXaxo8fz4cXDWCsHKnV9mBcRESE6N+/v1bbtWvXBABx5MiR+7+QZqypcrR3714BQFy4cEHTlp6eLgCIrKws41xMM8LC2ozMnDlTODg4iIMHD4q8vDzN153F7owZM8Qjjzwi9u/fL06cOCECAwNFYGCgZv+ZM2eEs7OzeOmll7TOcf36dU1MSUmJ6NChgxg9erT49ddfxaFDh4S3t7eYOnVqk17vg6ipcnQ3rgpiuKbK0datW4WVlZVYt26dVkxRUVGTXu+DqKlydOnSJSGTycT8+fPFuXPnxLp164SlpaVISkpq0ut9EBkjR0IIkZ2dLU6dOiVeffVV0bVrV3Hq1Clx6tQpUVlZKYQQIiUlRUgkEhEbGyvOnz8vTp48KYKDg0WnTp040HMPTZUjpVIp+vbtKwYOHCjS0tLEiRMnREBAgBg6dGiTXu+DgoW1GQGg9+vTTz/VxNy6dUu89tpr4qGHHhIymUw8//zzIi8vT7M/JiZG7zk6deqk9Vnnzp0Tcrlc2NnZiQ4dOoiIiAj+T8wATZmjO7GwNlxT5WjQoEF6YyZOnNh0F/uAasrfowMHDgg/Pz9hY2MjvLy8tD6DameMHAlR++9JTk6OJubzzz8Xffr0Efb29sLZ2VmMHDlSnDt3romu9MHVlDn6/fffxQsvvCBatWolXFxcxCuvvMIle2shEUKI+k8gISIiIiKiO/HhRSIiIiIiI2BhTURERERkBCysiYiIiIiMgIU1EREREZERsLAmIiIiIjICFtZEREREREbAwpqIiIiIyAhYWBMRERERGQELayIiIiIiI2BhTUREOl555RVIJBJIJBJYW1vDxcUFQ4cOxYYNG6BSqQw+z8aNG+Ho6Nh4HSUiMiMsrImISK+QkBDk5eXh8uXL2LNnD4YMGYK5c+fi2Wefxe3bt03dPSIis8PCmoiI9JJKpXB1dYW7uzv69u2LRYsW4euvv8aePXuwceNGAMCqVavQq1cv2Nvbo2PHjnjttddQWloKADh48CAmTZqEmzdvaka/Fy9eDACorKzEm2++CXd3d9jb2yMgIAAHDx40zYUSERkJC2siIjLYU089hd69e+Orr74CAFhYWGDNmjX49ddfsWnTJuzfvx8LFiwAAAQFBSE+Ph5t2rRBXl4e8vLy8OabbwIAZs+ejdTUVGzfvh2//PILxowZg5CQEGRnZ5vs2oiI7pdECCFM3QkiIjIvr7zyCoqKipCYmKizb9y4cfjll19w9uxZnX1ffPEFZsyYgcLCQgA1c6zDw8NRVFSkicnNzYWXlxdyc3PRvn17TbtcLkf//v3xzjvvGP16iIiagpWpO0BERA8WIQQkEgkA4IcffkBcXBwyMzNRXFyM27dvo6KiAuXl5ZDJZHqPP3PmDJRKJbp27arVXllZiYcffrjR+09E1FhYWBMRUb2cO3cOnp6euHz5Mp599lnMnDkTy5YtQ9u2bfG///0PU6ZMQVVVVa2FdWlpKSwtLXHy5ElYWlpq7WvVqlVTXAIRUaNgYU1ERAbbv38/zpw5g3nz5uHkyZNQqVRYuXIlLCxqHtnZuXOnVryNjQ2USqVWW58+faBUKnH9+nU8+eSTTdZ3IqLGxsKaiIj0qqyshEKhgFKpRH5+PpKSkhAXF4dnn30WEyZMQEZGBqqrq/H+++/jueeew5EjR5CQkKB1Dg8PD5SWliIlJQW9e/eGTCZD165d8Y9//AMTJkzAypUr0adPHxQUFCAlJQWPPvooRowYYaIrJiK6P1wVhIiI9EpKSoKbmxs8PDwQEhKCAwcOYM2aNfj6669haWmJ3r17Y9WqVXj33Xfh6+uLrVu3Ii4uTuscQUFBmDFjBsLCwuDs7Izly5cDAD799FNMmDABb7zxBrp164bQ0FD8/PPPeOSRR0xxqURERsFVQYiIiIiIjIAj1kRERERERsDCmoiIiIjICFhYExEREREZAQtrIiIiIiIjYGFNRERERGQELKyJiIiIiIyAhTURERERkRGwsCYiIiIiMgIW1kRERERERsDCmoiIiIjICFhYExEREREZwf8HZgPoDok8J6sAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 800x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "account_id = '200127375'\n",
-    "\n",
-    "df_account = (\n",
-    "    score_accounts_df[score_accounts_df[\"account\"] == account_id]\n",
-    "    .sort_values(\"date\")\n",
-    ")\n",
-    "\n",
-    "if len(df_account) == 0:\n",
-    "    print(\"Compte non trouvé\")\n",
-    "else:\n",
-    "    plt.figure(figsize=(8,4))\n",
-    "    plt.plot(df_account[\"date\"], df_account[\"score\"], marker='o', markersize=4)\n",
-    "\n",
-    "    plt.gca().invert_xaxis()\n",
-    "    \n",
-    "    plt.grid(True)\n",
-    "\n",
-    "    plt.xlabel(\"Date\")\n",
-    "    plt.ylabel(\"Score\")\n",
-    "    plt.title(f\"Score du compte {account_id}\")\n",
-    "\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 151,
-   "id": "dd2f09f1-e586-4f8d-925b-b7b8d2809541",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def evolution_compte(df, id1, id = 'Registrar Account - ID'):\n",
-    "    def prepare_df(idt):\n",
-    "        df_id = df[df[id] == idt].copy()\n",
-    "        df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])\n",
-    "        df_agg = (\n",
-    "            df_id\n",
-    "            .groupby('Centralisation Date')['Quantity - AUM']\n",
-    "            .sum()\n",
-    "            .reset_index()\n",
-    "            .sort_values('Centralisation Date')\n",
-    "        )\n",
-    "        return df_agg\n",
-    "\n",
-    "    df1 = prepare_df(id1)\n",
-    "\n",
-    "    plt.figure(figsize=(12, 6))\n",
-    "\n",
-    "    # Courbe du compte\n",
-    "    plt.plot(df1['Centralisation Date'], df1['Quantity - AUM'],\n",
-    "             marker='.', linestyle='-', label=f'Account {id1}')\n",
-    "\n",
-    "    plt.title(f\"Évolution AUM pour le compte {id1}\")\n",
-    "    plt.xlabel(\"Date\")\n",
-    "    plt.ylabel(\"Quantity - AUM\")\n",
-    "    plt.grid(True)\n",
-    "    plt.legend()\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 152,
-   "id": "3a6d1927-200e-48ee-8e96-f09e182ae340",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_compte(df, '200127495') \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 99,
-   "id": "f13d2f9b-e4ce-4c1c-aa2b-55fb63b52616",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_compte(df, '200127479') "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 153,
-   "id": "bb58a3a7-34c8-4b1b-a31d-7861f9336725",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Score : chute\n",
-    "\n",
-    "score_accounts_df = score_accounts_df.sort_values([\"account\",\"date\"])\n",
-    "\n",
-    "score_accounts_df[\"score_prev\"] = score_accounts_df.groupby(\"account\")[\"score\"].shift(1)\n",
-    "\n",
-    "score_accounts_df[\"relative_drop\"] = (\n",
-    "    abs((score_accounts_df[\"score_prev\"] - score_accounts_df[\"score\"]) /\n",
-    "    score_accounts_df[\"score\"]\n",
-    "))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 195,
-   "id": "4415773b-c5e8-44fb-965d-e53f74037e2c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ruptures = score_accounts_df[score_accounts_df[\"relative_drop\"] > 0.01]\n",
-    "ruptures2 = score_accounts_df[score_accounts_df[\"relative_drop\"] > 0.0095]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 198,
-   "id": "3cecbc48-9ee8-4f81-b523-00561be292dc",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ruptures_recent = (\n",
-    "    ruptures.sort_values(\"date\", ascending=False)\n",
-    "    .groupby(\"account\")\n",
-    "    .first()\n",
-    "    .reset_index()\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 199,
-   "id": "30d11762-99be-4139-8b94-64f009290fdd",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>account</th>\n",
-       "      <th>date</th>\n",
-       "      <th>score</th>\n",
-       "      <th>score_prev</th>\n",
-       "      <th>relative_drop</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>200127175</td>\n",
-       "      <td>2022-03-31</td>\n",
-       "      <td>0.000147</td>\n",
-       "      <td>0.000144</td>\n",
-       "      <td>0.016491</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>200127183</td>\n",
-       "      <td>2022-07-31</td>\n",
-       "      <td>0.001560</td>\n",
-       "      <td>0.001540</td>\n",
-       "      <td>0.012848</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>200127331</td>\n",
-       "      <td>2024-01-31</td>\n",
-       "      <td>0.000245</td>\n",
-       "      <td>0.000214</td>\n",
-       "      <td>0.127564</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>200127345</td>\n",
-       "      <td>2024-01-31</td>\n",
-       "      <td>0.000216</td>\n",
-       "      <td>0.000188</td>\n",
-       "      <td>0.129203</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>200127356</td>\n",
-       "      <td>2024-12-31</td>\n",
-       "      <td>0.001201</td>\n",
-       "      <td>0.001182</td>\n",
-       "      <td>0.015673</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>200127375</td>\n",
-       "      <td>2023-07-31</td>\n",
-       "      <td>0.001177</td>\n",
-       "      <td>0.001164</td>\n",
-       "      <td>0.011002</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>200127443</td>\n",
-       "      <td>2022-02-28</td>\n",
-       "      <td>0.001447</td>\n",
-       "      <td>0.001401</td>\n",
-       "      <td>0.031917</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>200127455</td>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>0.000171</td>\n",
-       "      <td>0.000169</td>\n",
-       "      <td>0.011677</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>200127479</td>\n",
-       "      <td>2022-10-31</td>\n",
-       "      <td>0.000475</td>\n",
-       "      <td>0.000470</td>\n",
-       "      <td>0.010020</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>200127495</td>\n",
-       "      <td>2023-09-30</td>\n",
-       "      <td>0.000189</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>200127554</td>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>0.000941</td>\n",
-       "      <td>0.000850</td>\n",
-       "      <td>0.096969</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>200127579</td>\n",
-       "      <td>2023-05-31</td>\n",
-       "      <td>0.001600</td>\n",
-       "      <td>0.001568</td>\n",
-       "      <td>0.019538</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>200127613</td>\n",
-       "      <td>2023-12-31</td>\n",
-       "      <td>0.000679</td>\n",
-       "      <td>0.000470</td>\n",
-       "      <td>0.307807</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>200127639</td>\n",
-       "      <td>2023-02-28</td>\n",
-       "      <td>0.000239</td>\n",
-       "      <td>0.000234</td>\n",
-       "      <td>0.020886</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>200127731</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>0.000973</td>\n",
-       "      <td>0.000824</td>\n",
-       "      <td>0.152497</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>200127743</td>\n",
-       "      <td>2023-11-30</td>\n",
-       "      <td>0.001549</td>\n",
-       "      <td>0.001521</td>\n",
-       "      <td>0.017847</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>200128473</td>\n",
-       "      <td>2023-12-31</td>\n",
-       "      <td>0.000271</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>200131648</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>0.000349</td>\n",
-       "      <td>0.000341</td>\n",
-       "      <td>0.021279</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>200131736</td>\n",
-       "      <td>2022-09-30</td>\n",
-       "      <td>0.000521</td>\n",
-       "      <td>0.000486</td>\n",
-       "      <td>0.066359</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>200137467</td>\n",
-       "      <td>2024-01-31</td>\n",
-       "      <td>0.002019</td>\n",
-       "      <td>0.001998</td>\n",
-       "      <td>0.010172</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>200137997</td>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>0.004674</td>\n",
-       "      <td>0.004618</td>\n",
-       "      <td>0.012157</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>365304</td>\n",
-       "      <td>2025-09-30</td>\n",
-       "      <td>0.000379</td>\n",
-       "      <td>0.000373</td>\n",
-       "      <td>0.015225</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      account       date     score  score_prev  relative_drop\n",
-       "0   200127175 2022-03-31  0.000147    0.000144       0.016491\n",
-       "1   200127183 2022-07-31  0.001560    0.001540       0.012848\n",
-       "2   200127331 2024-01-31  0.000245    0.000214       0.127564\n",
-       "3   200127345 2024-01-31  0.000216    0.000188       0.129203\n",
-       "4   200127356 2024-12-31  0.001201    0.001182       0.015673\n",
-       "5   200127375 2023-07-31  0.001177    0.001164       0.011002\n",
-       "6   200127443 2022-02-28  0.001447    0.001401       0.031917\n",
-       "7   200127455 2025-10-31  0.000171    0.000169       0.011677\n",
-       "8   200127479 2022-10-31  0.000475    0.000470       0.010020\n",
-       "9   200127495 2023-09-30  0.000189    0.000000       1.000000\n",
-       "10  200127554 2025-10-31  0.000941    0.000850       0.096969\n",
-       "11  200127579 2023-05-31  0.001600    0.001568       0.019538\n",
-       "12  200127613 2023-12-31  0.000679    0.000470       0.307807\n",
-       "13  200127639 2023-02-28  0.000239    0.000234       0.020886\n",
-       "14  200127731 2022-06-30  0.000973    0.000824       0.152497\n",
-       "15  200127743 2023-11-30  0.001549    0.001521       0.017847\n",
-       "16  200128473 2023-12-31  0.000271    0.000000       1.000000\n",
-       "17  200131648 2022-06-30  0.000349    0.000341       0.021279\n",
-       "18  200131736 2022-09-30  0.000521    0.000486       0.066359\n",
-       "19  200137467 2024-01-31  0.002019    0.001998       0.010172\n",
-       "20  200137997 2025-10-31  0.004674    0.004618       0.012157\n",
-       "21     365304 2025-09-30  0.000379    0.000373       0.015225"
-      ]
-     },
-     "execution_count": 199,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ruptures_recent"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 158,
-   "id": "3da97871-c9e3-427b-9c8a-28034fe93cc2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ruptures_recent = ruptures_recent.sort_values(\"relative_drop\", ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 193,
-   "id": "fed34a3d-c499-412b-83ee-690f22d3b923",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "141"
-      ]
-     },
-     "execution_count": 193,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "len(ruptures2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 160,
-   "id": "72534b99-1125-43cf-a06c-f6958164cc2a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Pivot multi-index pour un accès rapide\n",
-    "stocks_dict = {}\n",
-    "for (date, account, isin), value in stocks_agg.items():\n",
-    "    stocks_dict.setdefault(date, {}).setdefault(account, {})[isin] = value\n",
-    "\n",
-    "flows_dict = {}\n",
-    "for (date, account, isin), value in flows_agg.items():\n",
-    "    flows_dict.setdefault(date, {}).setdefault(account, {})[isin] = value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 161,
-   "id": "75c53c57-64ad-4c7a-829a-c77b4afdcc23",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Fonction de chirurgie pour un compte avec rupture\n",
-    "\n",
-    "def surgery_for_account(account, date_t, date_t1, tol=0.01, alpha=0.01):\n",
-    "    \"\"\"\n",
-    "    Pour un compte donné et une rupture, trouver le code à date_t1\n",
-    "    qui minimise la perte de score.\n",
-    "    \"\"\"\n",
-    "    st_t = stocks_dict.get(date_t, {}).get(account, {})\n",
-    "    fl_t = flows_dict.get(date_t, {}).get(account, {})\n",
-    "    \n",
-    "    # Tous les ISIN impliqués\n",
-    "    all_isins = set(st_t.keys())\n",
-    "\n",
-    "    if len(all_isins) == 0:\n",
-    "        return account, 1\n",
-    "    \n",
-    "    # Décroissance initiale avec le même code\n",
-    "    st_t1_current = stocks_dict.get(date_t1, {}).get(account, {})\n",
-    "    st_t_s = pd.Series({isin: st_t.get(isin,0) for isin in all_isins})\n",
-    "    st_t1_s = pd.Series({isin: st_t1_current.get(isin,0) for isin in all_isins})\n",
-    "    fl_t_s = pd.Series({isin: fl_t.get(isin,0) for isin in all_isins})\n",
-    "    \n",
-    "    diff = abs(st_t_s - (st_t1_s + fl_t_s))\n",
-    "    denom = np.maximum(st_t_s, st_t1_s + fl_t_s)\n",
-    "    relative_error = np.zeros_like(diff)\n",
-    "    nonzero_mask = denom != 0\n",
-    "    relative_error[nonzero_mask] = diff[nonzero_mask] / denom[nonzero_mask]\n",
-    "    relative_error_clip = np.maximum(relative_error - tol, 0)\n",
-    "    best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-    "    best_code = account\n",
-    "    \n",
-    "    # Si rupture > tol, tester tous les codes à t1\n",
-    "    if best_decay < 1 - tol:\n",
-    "        for candidate in stocks_dict.get(date_t1, {}).keys():\n",
-    "            st_c = stocks_dict[date_t1][candidate]\n",
-    "            st_c_s = pd.Series({isin: st_c.get(isin,0) for isin in all_isins})\n",
-    "            diff_c = abs(st_t_s - (st_c_s + fl_t_s))\n",
-    "            denom_c = np.maximum(st_t_s, st_c_s + fl_t_s)\n",
-    "            relative_error_c = np.zeros_like(diff_c)\n",
-    "            nonzero_mask_c = denom_c != 0\n",
-    "            relative_error_c[nonzero_mask_c] = diff_c[nonzero_mask_c] / denom_c[nonzero_mask_c]\n",
-    "            relative_error_clip_c = np.maximum(relative_error_c - tol, 0)\n",
-    "            decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n",
-    "            \n",
-    "            if decay_c > best_decay:\n",
-    "                best_decay = decay_c\n",
-    "                best_code = candidate\n",
-    "    \n",
-    "    return best_code, best_decay"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 133,
-   "id": "ad49f064-7f5e-4b1a-bf5e-b8117182b1c1",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'200127201'"
-      ]
-     },
-     "execution_count": 133,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "date_t = pd.Timestamp('2023-07-31')\n",
-    "date_t1 = pd.Timestamp('2023-06-30')\n",
-    "date_t0 = pd.Timestamp('2022-09-30')\n",
-    "\n",
-    "surgery_for_account('200127375',date_t,date_t1)[0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 90,
-   "id": "f6b9d749-c0ae-444f-b373-1502a26b9c29",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>account</th>\n",
-       "      <th>score</th>\n",
-       "      <th>score_prev</th>\n",
-       "      <th>relative_drop</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>55842</th>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>200127479</td>\n",
-       "      <td>0.000000</td>\n",
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-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
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-       "    <tr>\n",
-       "      <th>54118</th>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>200127479</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
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-       "    <tr>\n",
-       "      <th>...</th>\n",
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-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
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-       "    <tr>\n",
-       "      <th>1967</th>\n",
-       "      <td>2025-06-30</td>\n",
-       "      <td>200127479</td>\n",
-       "      <td>0.000486</td>\n",
-       "      <td>0.000485</td>\n",
-       "      <td>4.028644e-04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1536</th>\n",
-       "      <td>2025-07-31</td>\n",
-       "      <td>200127479</td>\n",
-       "      <td>0.000486</td>\n",
-       "      <td>0.000486</td>\n",
-       "      <td>8.775873e-07</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1105</th>\n",
-       "      <td>2025-08-31</td>\n",
-       "      <td>200127479</td>\n",
-       "      <td>0.000486</td>\n",
-       "      <td>0.000486</td>\n",
-       "      <td>3.857307e-05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>674</th>\n",
-       "      <td>2025-09-30</td>\n",
-       "      <td>200127479</td>\n",
-       "      <td>0.000486</td>\n",
-       "      <td>0.000486</td>\n",
-       "      <td>4.271008e-05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>243</th>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>200127479</td>\n",
-       "      <td>0.000486</td>\n",
-       "      <td>0.000486</td>\n",
-       "      <td>1.099025e-03</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>130 rows × 5 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            date    account     score  score_prev  relative_drop\n",
-       "55842 2015-01-31  200127479  0.000000         NaN            NaN\n",
-       "55411 2015-02-28  200127479  0.000000    0.000000            NaN\n",
-       "54980 2015-03-31  200127479  0.000000    0.000000            NaN\n",
-       "54549 2015-04-30  200127479  0.000000    0.000000            NaN\n",
-       "54118 2015-05-31  200127479  0.000000    0.000000            NaN\n",
-       "...          ...        ...       ...         ...            ...\n",
-       "1967  2025-06-30  200127479  0.000486    0.000485   4.028644e-04\n",
-       "1536  2025-07-31  200127479  0.000486    0.000486   8.775873e-07\n",
-       "1105  2025-08-31  200127479  0.000486    0.000486   3.857307e-05\n",
-       "674   2025-09-30  200127479  0.000486    0.000486   4.271008e-05\n",
-       "243   2025-10-31  200127479  0.000486    0.000486   1.099025e-03\n",
-       "\n",
-       "[130 rows x 5 columns]"
-      ]
-     },
-     "execution_count": 90,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "score_accounts_df[score_accounts_df['account']=='200127479']\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 141,
-   "id": "8b239ffa-2986-4212-af74-f0d4e1753748",
-   "metadata": {},
-   "outputs": [
-    {
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-       "      <td>200127375</td>\n",
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-       "      <td>0.001140</td>\n",
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-       "      <td>0.001150</td>\n",
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-       "      <th>14802</th>\n",
-       "      <td>2022-12-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001150</td>\n",
-       "      <td>0.001150</td>\n",
-       "      <td>0.000500</td>\n",
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-       "      <th>14371</th>\n",
-       "      <td>2023-01-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001159</td>\n",
-       "      <td>0.001150</td>\n",
-       "      <td>0.007329</td>\n",
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-       "      <th>13940</th>\n",
-       "      <td>2023-02-28</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001161</td>\n",
-       "      <td>0.001159</td>\n",
-       "      <td>0.001574</td>\n",
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-       "      <th>13509</th>\n",
-       "      <td>2023-03-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001161</td>\n",
-       "      <td>0.001161</td>\n",
-       "      <td>0.000642</td>\n",
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-       "    <tr>\n",
-       "      <th>13078</th>\n",
-       "      <td>2023-04-30</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001162</td>\n",
-       "      <td>0.001161</td>\n",
-       "      <td>0.000775</td>\n",
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-       "    <tr>\n",
-       "      <th>12647</th>\n",
-       "      <td>2023-05-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001164</td>\n",
-       "      <td>0.001162</td>\n",
-       "      <td>0.001258</td>\n",
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-       "    <tr>\n",
-       "      <th>12216</th>\n",
-       "      <td>2023-06-30</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001164</td>\n",
-       "      <td>0.001164</td>\n",
-       "      <td>0.000403</td>\n",
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-       "    <tr>\n",
-       "      <th>11785</th>\n",
-       "      <td>2023-07-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001177</td>\n",
-       "      <td>0.001164</td>\n",
-       "      <td>0.011002</td>\n",
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-       "      <th>11354</th>\n",
-       "      <td>2023-08-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001177</td>\n",
-       "      <td>0.001177</td>\n",
-       "      <td>0.000352</td>\n",
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-       "    <tr>\n",
-       "      <th>10923</th>\n",
-       "      <td>2023-09-30</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001177</td>\n",
-       "      <td>0.001177</td>\n",
-       "      <td>0.000009</td>\n",
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-       "      <th>10492</th>\n",
-       "      <td>2023-10-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001179</td>\n",
-       "      <td>0.001177</td>\n",
-       "      <td>0.000907</td>\n",
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-       "      <th>10061</th>\n",
-       "      <td>2023-11-30</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001180</td>\n",
-       "      <td>0.001179</td>\n",
-       "      <td>0.000958</td>\n",
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-       "      <th>9630</th>\n",
-       "      <td>2023-12-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001181</td>\n",
-       "      <td>0.001180</td>\n",
-       "      <td>0.001105</td>\n",
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-       "      <th>9199</th>\n",
-       "      <td>2024-01-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001188</td>\n",
-       "      <td>0.001181</td>\n",
-       "      <td>0.005881</td>\n",
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-       "    <tr>\n",
-       "      <th>8768</th>\n",
-       "      <td>2024-02-29</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001190</td>\n",
-       "      <td>0.001188</td>\n",
-       "      <td>0.001295</td>\n",
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-       "      <th>8337</th>\n",
-       "      <td>2024-03-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001190</td>\n",
-       "      <td>0.001190</td>\n",
-       "      <td>0.000000</td>\n",
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-       "    <tr>\n",
-       "      <th>7906</th>\n",
-       "      <td>2024-04-30</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001194</td>\n",
-       "      <td>0.001190</td>\n",
-       "      <td>0.003455</td>\n",
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-       "    <tr>\n",
-       "      <th>7475</th>\n",
-       "      <td>2024-05-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001194</td>\n",
-       "      <td>0.001194</td>\n",
-       "      <td>0.000432</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7044</th>\n",
-       "      <td>2024-06-30</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001194</td>\n",
-       "      <td>0.001194</td>\n",
-       "      <td>0.000237</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6613</th>\n",
-       "      <td>2024-07-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001197</td>\n",
-       "      <td>0.001194</td>\n",
-       "      <td>0.001903</td>\n",
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-       "    <tr>\n",
-       "      <th>6182</th>\n",
-       "      <td>2024-08-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001197</td>\n",
-       "      <td>0.001197</td>\n",
-       "      <td>0.000000</td>\n",
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-       "    <tr>\n",
-       "      <th>5751</th>\n",
-       "      <td>2024-09-30</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001197</td>\n",
-       "      <td>0.001197</td>\n",
-       "      <td>0.000276</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5320</th>\n",
-       "      <td>2024-10-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001199</td>\n",
-       "      <td>0.001197</td>\n",
-       "      <td>0.001539</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4889</th>\n",
-       "      <td>2024-11-30</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001199</td>\n",
-       "      <td>0.001199</td>\n",
-       "      <td>0.000027</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4458</th>\n",
-       "      <td>2024-12-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001199</td>\n",
-       "      <td>0.001199</td>\n",
-       "      <td>0.000091</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4027</th>\n",
-       "      <td>2025-01-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001199</td>\n",
-       "      <td>0.001199</td>\n",
-       "      <td>0.000012</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3596</th>\n",
-       "      <td>2025-02-28</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001199</td>\n",
-       "      <td>0.001199</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3165</th>\n",
-       "      <td>2025-03-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001200</td>\n",
-       "      <td>0.001199</td>\n",
-       "      <td>0.000799</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2734</th>\n",
-       "      <td>2025-04-30</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001200</td>\n",
-       "      <td>0.001200</td>\n",
-       "      <td>0.000354</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2303</th>\n",
-       "      <td>2025-05-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001200</td>\n",
-       "      <td>0.001200</td>\n",
-       "      <td>0.000010</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1872</th>\n",
-       "      <td>2025-06-30</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001201</td>\n",
-       "      <td>0.001200</td>\n",
-       "      <td>0.000264</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1441</th>\n",
-       "      <td>2025-07-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001202</td>\n",
-       "      <td>0.001201</td>\n",
-       "      <td>0.000851</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1010</th>\n",
-       "      <td>2025-08-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001202</td>\n",
-       "      <td>0.001202</td>\n",
-       "      <td>0.000480</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>579</th>\n",
-       "      <td>2025-09-30</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001202</td>\n",
-       "      <td>0.001202</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>148</th>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>200127375</td>\n",
-       "      <td>0.001203</td>\n",
-       "      <td>0.001202</td>\n",
-       "      <td>0.000419</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            date    account     score  score_prev  relative_drop\n",
-       "16957 2022-07-31  200127375  0.001144    0.001140       0.003081\n",
-       "16526 2022-08-31  200127375  0.001144    0.001144       0.000107\n",
-       "16095 2022-09-30  200127375  0.001144    0.001144       0.000079\n",
-       "15664 2022-10-31  200127375  0.001150    0.001144       0.004884\n",
-       "15233 2022-11-30  200127375  0.001150    0.001150       0.000032\n",
-       "14802 2022-12-31  200127375  0.001150    0.001150       0.000500\n",
-       "14371 2023-01-31  200127375  0.001159    0.001150       0.007329\n",
-       "13940 2023-02-28  200127375  0.001161    0.001159       0.001574\n",
-       "13509 2023-03-31  200127375  0.001161    0.001161       0.000642\n",
-       "13078 2023-04-30  200127375  0.001162    0.001161       0.000775\n",
-       "12647 2023-05-31  200127375  0.001164    0.001162       0.001258\n",
-       "12216 2023-06-30  200127375  0.001164    0.001164       0.000403\n",
-       "11785 2023-07-31  200127375  0.001177    0.001164       0.011002\n",
-       "11354 2023-08-31  200127375  0.001177    0.001177       0.000352\n",
-       "10923 2023-09-30  200127375  0.001177    0.001177       0.000009\n",
-       "10492 2023-10-31  200127375  0.001179    0.001177       0.000907\n",
-       "10061 2023-11-30  200127375  0.001180    0.001179       0.000958\n",
-       "9630  2023-12-31  200127375  0.001181    0.001180       0.001105\n",
-       "9199  2024-01-31  200127375  0.001188    0.001181       0.005881\n",
-       "8768  2024-02-29  200127375  0.001190    0.001188       0.001295\n",
-       "8337  2024-03-31  200127375  0.001190    0.001190       0.000000\n",
-       "7906  2024-04-30  200127375  0.001194    0.001190       0.003455\n",
-       "7475  2024-05-31  200127375  0.001194    0.001194       0.000432\n",
-       "7044  2024-06-30  200127375  0.001194    0.001194       0.000237\n",
-       "6613  2024-07-31  200127375  0.001197    0.001194       0.001903\n",
-       "6182  2024-08-31  200127375  0.001197    0.001197       0.000000\n",
-       "5751  2024-09-30  200127375  0.001197    0.001197       0.000276\n",
-       "5320  2024-10-31  200127375  0.001199    0.001197       0.001539\n",
-       "4889  2024-11-30  200127375  0.001199    0.001199       0.000027\n",
-       "4458  2024-12-31  200127375  0.001199    0.001199       0.000091\n",
-       "4027  2025-01-31  200127375  0.001199    0.001199       0.000012\n",
-       "3596  2025-02-28  200127375  0.001199    0.001199       0.000000\n",
-       "3165  2025-03-31  200127375  0.001200    0.001199       0.000799\n",
-       "2734  2025-04-30  200127375  0.001200    0.001200       0.000354\n",
-       "2303  2025-05-31  200127375  0.001200    0.001200       0.000010\n",
-       "1872  2025-06-30  200127375  0.001201    0.001200       0.000264\n",
-       "1441  2025-07-31  200127375  0.001202    0.001201       0.000851\n",
-       "1010  2025-08-31  200127375  0.001202    0.001202       0.000480\n",
-       "579   2025-09-30  200127375  0.001202    0.001202       0.000000\n",
-       "148   2025-10-31  200127375  0.001203    0.001202       0.000419"
-      ]
-     },
-     "execution_count": 141,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_account.tail(40)"
-   ]
-  },
-  {
-   "cell_type": "code",
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-   "id": "92467723-1d7a-4eb7-bbf1-acb7ac60ce4a",
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-      "/tmp/ipykernel_3566/3509470181.py:26: RuntimeWarning: Mean of empty slice\n",
-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-      "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n",
-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n"
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-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-      "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n",
-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n"
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-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
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-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n"
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-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-      "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n",
-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n"
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-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-      "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n",
-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n"
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-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n"
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-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
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-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-      "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n",
-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n"
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-      "/tmp/ipykernel_3566/3509470181.py:26: RuntimeWarning: Mean of empty slice\n",
-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-      "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n",
-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n",
-      "/tmp/ipykernel_3566/3509470181.py:26: RuntimeWarning: Mean of empty slice\n",
-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-      "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n",
-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n",
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-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
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-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n"
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-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-      "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n",
-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n"
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-      "/tmp/ipykernel_3566/3509470181.py:26: RuntimeWarning: Mean of empty slice\n",
-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-      "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n",
-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n"
-     ]
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-   ],
-   "source": [
-    "# Chirurgie des scores\n",
-    "\n",
-    "score_history_c1 = []\n",
-    "score_history_accounts_c1 = []\n",
-    "\n",
-    "scores = aum_account.set_index('Registrar Account - ID')['weight'].to_dict()\n",
-    "dic_account1 = {}\n",
-    "\n",
-    "score_history_c1.append({\n",
-    "    \"date\": ref_date,\n",
-    "    \"total_score\": sum(scores.values())\n",
-    "})\n",
-    "\n",
-    "for account, score in scores.items():\n",
-    "    score_history_accounts_c1.append({\n",
-    "        \"date\": ref_date,\n",
-    "        \"account\": account,\n",
-    "        \"score\": score\n",
-    "    })\n",
-    "\n",
-    "dates_sorted = sorted(df['Centralisation Date'].unique(), reverse=True)\n",
-    "\n",
-    "alpha = 0.01\n",
-    "tol = 0.05\n",
-    "\n",
-    "for i in range(1, len(dates_sorted)):\n",
-    "    print(i)\n",
-    "    print(len(dic_account1))\n",
-    "    date_t = dates_sorted[i-1]\n",
-    "    date_t1 = dates_sorted[i]\n",
-    "\n",
-    "    new_scores = scores.copy()\n",
-    "\n",
-    "    for account in scores.keys():\n",
-    "        if account not in dic_account1:\n",
-    "            decay = score_decay_vector_max(account, date_t, date_t1, tol=tol, alpha=alpha)\n",
-    "            if decay > 0.991: \n",
-    "                new_scores[account] = scores[account] * decay\n",
-    "            else:\n",
-    "                chirurgie = surgery_for_account(account,date_t,date_t1, tol = 0.009, alpha = 0.01)\n",
-    "                dic_account1[account] = chirurgie[0]\n",
-    "                new_scores[account] = scores[account] * chirurgie[1]\n",
-    "        else: \n",
-    "            account_final = dic_account1[account]\n",
-    "            decay = score_decay_vector_max(account_final, date_t, date_t1, tol=tol, alpha=alpha)\n",
-    "            if decay > 0.991: \n",
-    "                new_scores[account] = scores[account] * decay\n",
-    "            else:\n",
-    "                chirurgie = surgery_for_account(account_final,date_t,date_t1, tol = 0.009, alpha = 0.01)\n",
-    "                dic_account1[account_final] = chirurgie[0]\n",
-    "                new_scores[account] = scores[account] * chirurgie[1]\n",
-    "    scores = new_scores\n",
-    "\n",
-    "    # score total\n",
-    "    score_history_c1.append({\n",
-    "        \"date\": date_t1,\n",
-    "        \"total_score\": sum(scores.values())\n",
-    "    })\n",
-    "\n",
-    "    # score par compte\n",
-    "    for account, score in scores.items():\n",
-    "        score_history_accounts_c1.append({\n",
-    "            \"date\": date_t1,\n",
-    "            \"account\": account,\n",
-    "            \"score\": score\n",
-    "        })"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 223,
-   "id": "40c88aeb-5507-40ec-be36-ff17f7e89b74",
-   "metadata": {},
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-     "text": [
-      "/tmp/ipykernel_3566/3509470181.py:26: RuntimeWarning: Mean of empty slice\n",
-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-      "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n",
-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n",
-      "/tmp/ipykernel_3566/3509470181.py:26: RuntimeWarning: Mean of empty slice\n",
-      "  best_decay = max(0, 1 - alpha * np.nanmean(relative_error_clip))\n",
-      "/tmp/ipykernel_3566/3509470181.py:40: RuntimeWarning: Mean of empty slice\n",
-      "  decay_c = max(0, 1 - alpha * np.nanmean(relative_error_clip_c))\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "125 404\n",
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-     ]
-    }
-   ],
-   "source": [
-    "score_history_c1 = []\n",
-    "score_history_accounts_c1 = []\n",
-    "\n",
-    "scores = aum_account.set_index('Registrar Account - ID')['weight'].to_dict()\n",
-    "\n",
-    "# historique des chirurgies\n",
-    "dic_account2 = {}\n",
-    "\n",
-    "def get_final_account(account):\n",
-    "\n",
-    "    visited = set()\n",
-    "\n",
-    "    while account in dic_account2:\n",
-    "\n",
-    "        if account in visited:\n",
-    "            # cycle détecté\n",
-    "            break\n",
-    "\n",
-    "        visited.add(account)\n",
-    "        account = dic_account2[account][-1][\"to\"]\n",
-    "\n",
-    "    return account\n",
-    "\n",
-    "\n",
-    "# score initial\n",
-    "score_history_c1.append({\n",
-    "    \"date\": ref_date,\n",
-    "    \"total_score\": sum(scores.values())\n",
-    "})\n",
-    "\n",
-    "for account, score in scores.items():\n",
-    "    score_history_accounts_c1.append({\n",
-    "        \"date\": ref_date,\n",
-    "        \"account\": account,\n",
-    "        \"score\": score\n",
-    "    })\n",
-    "\n",
-    "\n",
-    "dates_sorted = sorted(df['Centralisation Date'].unique(), reverse=True)\n",
-    "\n",
-    "alpha = 0.01\n",
-    "tol = 0.05\n",
-    "\n",
-    "for i in range(1, len(dates_sorted)):\n",
-    "\n",
-    "    print(i, len(dic_account2))\n",
-    "\n",
-    "    date_t = dates_sorted[i-1]\n",
-    "    date_t1 = dates_sorted[i]\n",
-    "\n",
-    "    new_scores = {}\n",
-    "\n",
-    "    for account, score in scores.items():\n",
-    "\n",
-    "        account_final = get_final_account(account)\n",
-    "\n",
-    "        decay = score_decay_vector_max(account_final, date_t, date_t1, tol=tol, alpha=alpha)\n",
-    "\n",
-    "        if decay > 0.991:\n",
-    "\n",
-    "            new_scores[account] = score * decay\n",
-    "\n",
-    "        else:\n",
-    "\n",
-    "            new_account, coef = surgery_for_account(\n",
-    "                account_final,\n",
-    "                date_t,\n",
-    "                date_t1,\n",
-    "                tol=0.009,\n",
-    "                alpha=0.01\n",
-    "            )\n",
-    "\n",
-    "            # enregistrer la chirurgie\n",
-    "            dic_account2.setdefault(account_final, []).append({\n",
-    "                \"date\": date_t1,\n",
-    "                \"to\": new_account\n",
-    "            })\n",
-    "\n",
-    "            new_scores[account] = score * coef\n",
-    "\n",
-    "    scores = new_scores\n",
-    "\n",
-    "    # score total\n",
-    "    score_history_c1.append({\n",
-    "        \"date\": date_t1,\n",
-    "        \"total_score\": sum(scores.values())\n",
-    "    })\n",
-    "\n",
-    "    # score par compte\n",
-    "    for account, score in scores.items():\n",
-    "        score_history_accounts_c1.append({\n",
-    "            \"date\": date_t1,\n",
-    "            \"account\": account,\n",
-    "            \"score\": score\n",
-    "        })"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 224,
-   "id": "66dd1559-6a0c-4c56-8a1b-a93d9ec23ec4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       " '200131542': [{'date': Timestamp('2022-01-31 00:00:00'), 'to': '365940'}],\n",
-       " '200131541': [{'date': Timestamp('2022-01-31 00:00:00'), 'to': '365940'}],\n",
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-       " '200067096': [{'date': Timestamp('2017-03-31 00:00:00'), 'to': '200041370'}],\n",
-       " '200066455': [{'date': Timestamp('2017-03-31 00:00:00'), 'to': '348454'}],\n",
-       " '200059025': [{'date': Timestamp('2016-12-31 00:00:00'), 'to': '420134'}],\n",
-       " '200056069': [{'date': Timestamp('2016-11-30 00:00:00'), 'to': '366586'}],\n",
-       " '200057703': [{'date': Timestamp('2016-11-30 00:00:00'), 'to': '348456'}],\n",
-       " '200055990': [{'date': Timestamp('2016-11-30 00:00:00'), 'to': '418325'}],\n",
-       " '200054637': [{'date': Timestamp('2016-11-30 00:00:00'), 'to': '419206'}],\n",
-       " '200052208': [{'date': Timestamp('2016-10-31 00:00:00'), 'to': '419786'}],\n",
-       " '200054816': [{'date': Timestamp('2016-10-31 00:00:00'), 'to': '364743'}],\n",
-       " '200052562': [{'date': Timestamp('2016-10-31 00:00:00'), 'to': '422715'}],\n",
-       " '365470': [{'date': Timestamp('2016-10-31 00:00:00'), 'to': '333872'}],\n",
-       " '200002147': [{'date': Timestamp('2016-09-30 00:00:00'), 'to': '17892'}],\n",
-       " '200048611': [{'date': Timestamp('2016-08-31 00:00:00'), 'to': '200002242'}],\n",
-       " '200045720': [{'date': Timestamp('2016-07-31 00:00:00'), 'to': '419484'}],\n",
-       " '200006534': [{'date': Timestamp('2016-06-30 00:00:00'), 'to': '366005'}],\n",
-       " '200041370': [{'date': Timestamp('2016-06-30 00:00:00'), 'to': '419280'}],\n",
-       " '200041957': [{'date': Timestamp('2016-06-30 00:00:00'), 'to': '200000334'}],\n",
-       " '200043690': [{'date': Timestamp('2016-06-30 00:00:00'), 'to': '62013'}],\n",
-       " '200002375': [{'date': Timestamp('2016-05-31 00:00:00'), 'to': '100000014'}],\n",
-       " '200039765': [{'date': Timestamp('2016-05-31 00:00:00'), 'to': '200001382'}],\n",
-       " '200038056': [{'date': Timestamp('2016-04-30 00:00:00'), 'to': '200000069'}],\n",
-       " '200034372': [{'date': Timestamp('2016-02-29 00:00:00'), 'to': '364738'}],\n",
-       " '200021958': [{'date': Timestamp('2016-01-31 00:00:00'), 'to': '419254'}],\n",
-       " '200032028': [{'date': Timestamp('2016-01-31 00:00:00'), 'to': '200001959'}],\n",
-       " '200038383': [{'date': Timestamp('2015-12-31 00:00:00'), 'to': '411565'}],\n",
-       " '200022996': [{'date': Timestamp('2015-10-31 00:00:00'), 'to': '200002169'}],\n",
-       " '200019940': [{'date': Timestamp('2015-09-30 00:00:00'), 'to': '366471'}],\n",
-       " '200014222': [{'date': Timestamp('2015-09-30 00:00:00'), 'to': '422378'}],\n",
-       " '200013138': [{'date': Timestamp('2015-08-31 00:00:00'), 'to': '100000014'}],\n",
-       " '200017561': [{'date': Timestamp('2015-08-31 00:00:00'), 'to': '364813'}],\n",
-       " '200013447': [{'date': Timestamp('2015-07-31 00:00:00'), 'to': '422444'}],\n",
-       " '200013231': [{'date': Timestamp('2015-06-30 00:00:00'), 'to': '366377'}],\n",
-       " '200000566': [{'date': Timestamp('2015-06-30 00:00:00'), 'to': '200000566'},\n",
-       "  {'date': Timestamp('2015-06-30 00:00:00'), 'to': '200000566'}],\n",
-       " '200012832': [{'date': Timestamp('2015-06-30 00:00:00'), 'to': '200001728'}],\n",
-       " '200024003': [{'date': Timestamp('2015-04-30 00:00:00'), 'to': '364743'}],\n",
-       " '200006349': [{'date': Timestamp('2015-03-31 00:00:00'), 'to': '200002054'}],\n",
-       " '200043661': [{'date': Timestamp('2015-03-31 00:00:00'), 'to': '403420'}],\n",
-       " '200002429': [{'date': Timestamp('2015-02-28 00:00:00'), 'to': '362037'}],\n",
-       " '200002389': [{'date': Timestamp('2015-01-31 00:00:00'), 'to': '365088'}]}"
-      ]
-     },
-     "execution_count": 224,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dic_account2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 228,
-   "id": "c28a73b9-9302-4672-9ca3-1045540c3d4a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "events = []\n",
-    "\n",
-    "for account, hist in dic_account2.items():\n",
-    "    for h in hist:\n",
-    "        events.append({\n",
-    "            \"from_account\": account,\n",
-    "            \"to_account\": h[\"to\"],\n",
-    "            \"date\": h[\"date\"]\n",
-    "        })\n",
-    "\n",
-    "correction_code_louis = pd.DataFrame(events)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 229,
-   "id": "4b73b8c5-df66-4346-951e-2552459a23ef",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>from_account</th>\n",
-       "      <th>to_account</th>\n",
-       "      <th>date</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>200137997</td>\n",
-       "      <td>200129910</td>\n",
-       "      <td>2025-09-30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>200127554</td>\n",
-       "      <td>200127131</td>\n",
-       "      <td>2025-09-30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>200142554</td>\n",
-       "      <td>200137361</td>\n",
-       "      <td>2025-09-30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>200138977</td>\n",
-       "      <td>200102125</td>\n",
-       "      <td>2025-09-30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>200142564</td>\n",
-       "      <td>200127579</td>\n",
-       "      <td>2025-09-30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>410</th>\n",
-       "      <td>200024003</td>\n",
-       "      <td>364743</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>411</th>\n",
-       "      <td>200006349</td>\n",
-       "      <td>200002054</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>412</th>\n",
-       "      <td>200043661</td>\n",
-       "      <td>403420</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>413</th>\n",
-       "      <td>200002429</td>\n",
-       "      <td>362037</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>414</th>\n",
-       "      <td>200002389</td>\n",
-       "      <td>365088</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>415 rows × 3 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    from_account to_account       date\n",
-       "0      200137997  200129910 2025-09-30\n",
-       "1      200127554  200127131 2025-09-30\n",
-       "2      200142554  200137361 2025-09-30\n",
-       "3      200138977  200102125 2025-09-30\n",
-       "4      200142564  200127579 2025-09-30\n",
-       "..           ...        ...        ...\n",
-       "410    200024003     364743 2015-04-30\n",
-       "411    200006349  200002054 2015-03-31\n",
-       "412    200043661     403420 2015-03-31\n",
-       "413    200002429     362037 2015-02-28\n",
-       "414    200002389     365088 2015-01-31\n",
-       "\n",
-       "[415 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 229,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "correction_code_louis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 230,
-   "id": "c9e9ea56-310a-40e5-86bd-6045eadadcb5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "local_path = \"/tmp/correction_code_louis.csv\"\n",
-    "correction_code_louis.to_csv(local_path, index=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "dae61176-6ee7-4a57-8903-dc74cfeb7f56",
-   "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": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/Clustering.ipynb b/Clustering.ipynb
deleted file mode 100644
index 0e3aca7..0000000
--- a/Clustering.ipynb
+++ /dev/null
@@ -1,5115 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "id": "7aa09644-4d17-4a7a-841e-3bfcfb8a8901",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers Flows : ['projet-bdc-data/carmignac/Flows ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/Flows ENSAE V2 -20251105.csv']\n",
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Import des données\n",
-    "\n",
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers FLOWS\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "flows_files = [f for f in all_files if \"Flows\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers Flows :\", flows_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "flows_data = {}\n",
-    "for file_path in flows_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        flows_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "dg = flows_data['Flows ENSAE V2 -20251105.csv']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "35bb08c3-873a-462b-879d-dde601388d8f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - AUM</th>\n",
-       "      <th>Value - AUM CCY</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>24648.6666</td>\n",
-       "      <td>24648.6666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22413.0553</td>\n",
-       "      <td>22413.0553</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-12-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22051.2406</td>\n",
-       "      <td>22051.2406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>21626.1173</td>\n",
-       "      <td>21626.1173</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22489.4502</td>\n",
-       "      <td>22489.4502</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200000647                     France   \n",
-       "1              200000647                     France   \n",
-       "2              200000647                     France   \n",
-       "3              200000647                     France   \n",
-       "4              200000647                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France          Diversified         Patrimoine   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France          Diversified         Patrimoine   \n",
-       "3                     France          Diversified         Patrimoine   \n",
-       "4                     France          Diversified         Patrimoine   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
-       "0                    FCP                   NO  Carmignac Patrimoine   \n",
-       "1                    FCP                   NO  Carmignac Patrimoine   \n",
-       "2                    FCP                   NO  Carmignac Patrimoine   \n",
-       "3                    FCP                   NO  Carmignac Patrimoine   \n",
-       "4                    FCP                   NO  Carmignac Patrimoine   \n",
-       "\n",
-       "  Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
-       "0                         A                           EUR   FR0010135103   \n",
-       "1                         A                           EUR   FR0010135103   \n",
-       "2                         A                           EUR   FR0010135103   \n",
-       "3                         A                           EUR   FR0010135103   \n",
-       "4                         A                           EUR   FR0010135103   \n",
-       "\n",
-       "  Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
-       "0          2015-03-31          35.368       24648.6666     24648.6666  \n",
-       "1          2015-11-30          35.368       22413.0553     22413.0553  \n",
-       "2          2015-12-31          35.368       22051.2406     22051.2406  \n",
-       "3          2016-03-31          35.368       21626.1173     21626.1173  \n",
-       "4          2016-11-30          35.368       22489.4502     22489.4502  "
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 222,
-   "id": "d5262683-6ae5-4ee6-b949-58a468c7c7b5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - Subscription</th>\n",
-       "      <th>Quantity - Redemption</th>\n",
-       "      <th>Quantity - NetFlows</th>\n",
-       "      <th>Value Ccy - Subscription</th>\n",
-       "      <th>Value Ccy - Redemption</th>\n",
-       "      <th>Value Ccy - NetFlows</th>\n",
-       "      <th>Value € - Subscription</th>\n",
-       "      <th>Value € - Redemption</th>\n",
-       "      <th>Value € - NetFlows</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-11-05</td>\n",
-       "      <td>1636.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1636.000</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2015-03-09</td>\n",
-       "      <td>144.69</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>144.690</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2016-10-26</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2018-10-18</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-04-08</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 24 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200127202                     France   \n",
-       "1                 406533                     France   \n",
-       "2                 406533                     France   \n",
-       "3                 406533                     France   \n",
-       "4                 406533                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France               Equity     Investissement   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France               Equity     Investissement   \n",
-       "3                     France               Equity     Investissement   \n",
-       "4                     France               Equity     Investissement   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?  ... Centralisation Date  \\\n",
-       "0                  SICAV                   NO  ...          2020-11-05   \n",
-       "1                    FCP                   NO  ...          2015-03-09   \n",
-       "2                    FCP                   NO  ...          2016-10-26   \n",
-       "3                    FCP                   NO  ...          2018-10-18   \n",
-       "4                    FCP                   NO  ...          2019-04-08   \n",
-       "\n",
-       "  Quantity - Subscription Quantity - Redemption Quantity - NetFlows  \\\n",
-       "0                 1636.00                 0.000            1636.000   \n",
-       "1                  144.69                 0.000             144.690   \n",
-       "2                    0.00                -8.321              -8.321   \n",
-       "3                    0.00               -22.083             -22.083   \n",
-       "4                    0.00              -465.992            -465.992   \n",
-       "\n",
-       "  Value Ccy - Subscription  Value Ccy - Redemption  Value Ccy - NetFlows  \\\n",
-       "0                280983.00                    0.00             280983.00   \n",
-       "1                 99985.13                    0.00              99985.13   \n",
-       "2                     0.00                -9384.76              -9384.76   \n",
-       "3                     0.00               -25227.40             -25227.40   \n",
-       "4                     0.00              -563775.76            -563775.76   \n",
-       "\n",
-       "   Value € - Subscription  Value € - Redemption  Value € - NetFlows  \n",
-       "0               280983.00                  0.00           280983.00  \n",
-       "1                99985.13                  0.00            99985.13  \n",
-       "2                    0.00              -9384.76            -9384.76  \n",
-       "3                    0.00             -25227.40           -25227.40  \n",
-       "4                    0.00            -563775.76          -563775.76  \n",
-       "\n",
-       "[5 rows x 24 columns]"
-      ]
-     },
-     "execution_count": 222,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dg.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 76,
-   "id": "b31d3cb3-479c-4d2b-b6f5-8f78cd69407a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Filtrer les comptes techniques\n",
-    "\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "\n",
-    "df['Centralisation Date'] = pd.to_datetime(df['Centralisation Date'])\n",
-    "dg['Centralisation Date'] = pd.to_datetime(dg['Centralisation Date'])\n",
-    "df = df[~df['Registrar Account - ID'].isin(['Off Distribution','Private Clients', 'Private Client'])]\n",
-    "dg = dg[~dg['Registrar Account - ID'].isin(['Off Distribution','Private Clients','Private Client'])]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "id": "dec37ff8-0f54-4e3e-ac63-a71f9b3583d9",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(431, 2)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>3890</th>\n",
-       "      <td>420350</td>\n",
-       "      <td>1.623308e+09</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2622</th>\n",
-       "      <td>364765</td>\n",
-       "      <td>1.383209e+09</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>956</th>\n",
-       "      <td>200127454</td>\n",
-       "      <td>8.784361e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2598</th>\n",
-       "      <td>312933</td>\n",
-       "      <td>8.379604e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1099</th>\n",
-       "      <td>200127809</td>\n",
-       "      <td>8.342839e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3880</th>\n",
-       "      <td>420259</td>\n",
-       "      <td>8.296663e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2634</th>\n",
-       "      <td>364907</td>\n",
-       "      <td>8.151083e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2785</th>\n",
-       "      <td>366441</td>\n",
-       "      <td>7.707213e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2637</th>\n",
-       "      <td>364929</td>\n",
-       "      <td>7.479766e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2710</th>\n",
-       "      <td>365538</td>\n",
-       "      <td>7.200408e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2775</th>\n",
-       "      <td>366403</td>\n",
-       "      <td>7.092081e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3818</th>\n",
-       "      <td>418961</td>\n",
-       "      <td>6.529718e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>336</th>\n",
-       "      <td>200058108</td>\n",
-       "      <td>6.110961e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1764</th>\n",
-       "      <td>200131722</td>\n",
-       "      <td>5.758019e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>409</th>\n",
-       "      <td>200073354</td>\n",
-       "      <td>4.619978e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2741</th>\n",
-       "      <td>365848</td>\n",
-       "      <td>4.563625e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>423</th>\n",
-       "      <td>200075932</td>\n",
-       "      <td>4.375607e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>925</th>\n",
-       "      <td>200127410</td>\n",
-       "      <td>3.920364e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>872</th>\n",
-       "      <td>200127316</td>\n",
-       "      <td>3.707238e+08</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74</th>\n",
-       "      <td>200001349</td>\n",
-       "      <td>3.650226e+08</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     Registrar Account - ID  Value - AUM €\n",
-       "3890                 420350   1.623308e+09\n",
-       "2622                 364765   1.383209e+09\n",
-       "956               200127454   8.784361e+08\n",
-       "2598                 312933   8.379604e+08\n",
-       "1099              200127809   8.342839e+08\n",
-       "3880                 420259   8.296663e+08\n",
-       "2634                 364907   8.151083e+08\n",
-       "2785                 366441   7.707213e+08\n",
-       "2637                 364929   7.479766e+08\n",
-       "2710                 365538   7.200408e+08\n",
-       "2775                 366403   7.092081e+08\n",
-       "3818                 418961   6.529718e+08\n",
-       "336               200058108   6.110961e+08\n",
-       "1764              200131722   5.758019e+08\n",
-       "409               200073354   4.619978e+08\n",
-       "2741                 365848   4.563625e+08\n",
-       "423               200075932   4.375607e+08\n",
-       "925               200127410   3.920364e+08\n",
-       "872               200127316   3.707238e+08\n",
-       "74                200001349   3.650226e+08"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Date de référence et sélection des 400+ principaux codes\n",
-    "\n",
-    "ref_date = pd.Timestamp('2025-10-31')\n",
-    "\n",
-    "df_ref = df[df['Centralisation Date'] == ref_date]\n",
-    "\n",
-    "aum_account = (\n",
-    "    df_ref\n",
-    "    .groupby('Registrar Account - ID')['Value - AUM €']\n",
-    "    .sum()\n",
-    "    .reset_index()\n",
-    "    .sort_values(by='Value - AUM €', ascending=False)\n",
-    ")\n",
-    "aum_account = aum_account[aum_account['Value - AUM €'] > 5_000_000]\n",
-    "selected_accounts = aum_account['Registrar Account - ID']\n",
-    "\n",
-    "print(aum_account.shape)\n",
-    "aum_account.head(20)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "id": "95238a61-c263-43b4-965f-e09226ec4c73",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df_aum = df[df['Registrar Account - ID'].isin(selected_accounts)].copy()\n",
-    "df_flows = dg[dg['Registrar Account - ID'].isin(selected_accounts)].copy()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "id": "a6dcac05-e9f9-4c25-ade9-7b1f9e35582f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Clustering\n",
-    "\n",
-    "# Parse dates\n",
-    "df_flows[\"Centralisation Date\"] = pd.to_datetime(df_flows[\"Centralisation Date\"], errors=\"coerce\")\n",
-    "df_aum[\"Centralisation Date\"]   = pd.to_datetime(df_aum[\"Centralisation Date\"], errors=\"coerce\")\n",
-    "\n",
-    "ID_COL   = \"Registrar Account - ID\"\n",
-    "FLOW_COL = \"Quantity - NetFlows\"\n",
-    "AUM_COL  = \"Quantity - AUM\"\n",
-    "\n",
-    "# Month key\n",
-    "df_flows[\"month\"] = df_flows[\"Centralisation Date\"].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_aum[\"month\"]   = df_aum[\"Centralisation Date\"].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "# Flows sont journaliers, AUM est mensuel → il faut une granularité commune."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "5ea26597-af38-41f1-9cde-e9cd115e8678",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(33972, 6)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>179864.637</td>\n",
-       "      <td>-1524.010</td>\n",
-       "      <td>15230.010</td>\n",
-       "      <td>32</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>186761.736</td>\n",
-       "      <td>7247.100</td>\n",
-       "      <td>18571.880</td>\n",
-       "      <td>38</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>190357.718</td>\n",
-       "      <td>3655.380</td>\n",
-       "      <td>9754.040</td>\n",
-       "      <td>47</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>191429.324</td>\n",
-       "      <td>-218.394</td>\n",
-       "      <td>12840.950</td>\n",
-       "      <td>39</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>189056.475</td>\n",
-       "      <td>-4782.849</td>\n",
-       "      <td>6332.849</td>\n",
-       "      <td>24</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID      month     aum_qty  net_flow_qty  gross_flow_qty  \\\n",
-       "0                  18872 2015-01-31  179864.637     -1524.010       15230.010   \n",
-       "1                  18872 2015-02-28  186761.736      7247.100       18571.880   \n",
-       "2                  18872 2015-03-31  190357.718      3655.380        9754.040   \n",
-       "3                  18872 2015-04-30  191429.324      -218.394       12840.950   \n",
-       "4                  18872 2015-05-31  189056.475     -4782.849        6332.849   \n",
-       "\n",
-       "   n_tx  \n",
-       "0    32  \n",
-       "1    38  \n",
-       "2    47  \n",
-       "3    39  \n",
-       "4    24  "
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 1) Monthly aggregation for FLOWS : je fais mon etude mensuel parce que aum valeur mensuel \n",
-    "\n",
-    "ID_COL   = \"Registrar Account - ID\"\n",
-    "FLOW_COL = \"Quantity - NetFlows\"\n",
-    "AUM_COL  = \"Quantity - AUM\"\n",
-    "\n",
-    "df_flows_m = (\n",
-    "    df_flows\n",
-    "    .dropna(subset=[ID_COL, \"month\", FLOW_COL])\n",
-    "    .assign(gross_flow_qty=lambda x: x[FLOW_COL].abs())  # absolute quantity moved\n",
-    "    .groupby([ID_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        net_flow_qty=(FLOW_COL, \"sum\"),              # net quantity change over the month\n",
-    "        gross_flow_qty=(\"gross_flow_qty\", \"sum\"),    # total traded quantity (activity intensity)\n",
-    "        n_tx=(FLOW_COL, \"size\"),                     # number of transactions\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "# 2) Monthly aggregation for AUM (client-month holdings) ---\n",
-    "df_aum_m = (\n",
-    "    df_aum\n",
-    "    .dropna(subset=[ID_COL, \"month\", AUM_COL])\n",
-    "    .groupby([ID_COL, \"month\"], as_index=False)\n",
-    "    .agg(aum_qty=(AUM_COL, \"sum\"))                   # total held quantity across ISINs\n",
-    ")\n",
-    "\n",
-    "df_month = df_aum_m.merge(df_flows_m, on=[ID_COL, \"month\"], how=\"left\")\n",
-    "\n",
-    "# 4) Months without transactions => flows are 0 ---\n",
-    "df_month[\"net_flow_qty\"]   = df_month[\"net_flow_qty\"].fillna(0.0)\n",
-    "df_month[\"gross_flow_qty\"] = df_month[\"gross_flow_qty\"].fillna(0.0)\n",
-    "df_month[\"n_tx\"]           = df_month[\"n_tx\"].fillna(0).astype(int)\n",
-    "\n",
-    "print(df_month.shape)\n",
-    "df_month.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "id": "f9c7a0e3-b15a-4404-a99d-b23894cbd3f4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>n_months</th>\n",
-       "      <th>n_active_months</th>\n",
-       "      <th>flow_freq</th>\n",
-       "      <th>aum_qty_mean</th>\n",
-       "      <th>aum_qty_median</th>\n",
-       "      <th>net_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_mean</th>\n",
-       "      <th>net_flow_qty_vol</th>\n",
-       "      <th>rel_intensity</th>\n",
-       "      <th>netflow_to_aum</th>\n",
-       "      <th>n_tx_total</th>\n",
-       "      <th>log_aum_qty_mean</th>\n",
-       "      <th>log_gross_flow_qty_mean</th>\n",
-       "      <th>gross_flow_to_aum</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>143505.697354</td>\n",
-       "      <td>144653.1645</td>\n",
-       "      <td>-45677.1480</td>\n",
-       "      <td>1.244126e+06</td>\n",
-       "      <td>9570.200015</td>\n",
-       "      <td>9832.357264</td>\n",
-       "      <td>0.069449</td>\n",
-       "      <td>-0.003918</td>\n",
-       "      <td>1926</td>\n",
-       "      <td>11.874137</td>\n",
-       "      <td>9.166514</td>\n",
-       "      <td>8.669523</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>200000076</td>\n",
-       "      <td>130</td>\n",
-       "      <td>119</td>\n",
-       "      <td>0.915385</td>\n",
-       "      <td>24141.541138</td>\n",
-       "      <td>19888.8255</td>\n",
-       "      <td>54791.9840</td>\n",
-       "      <td>2.314415e+05</td>\n",
-       "      <td>1780.319492</td>\n",
-       "      <td>2838.000232</td>\n",
-       "      <td>0.083230</td>\n",
-       "      <td>-0.000893</td>\n",
-       "      <td>518</td>\n",
-       "      <td>10.091731</td>\n",
-       "      <td>7.485110</td>\n",
-       "      <td>9.586858</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>200000082</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>422994.464523</td>\n",
-       "      <td>462973.7880</td>\n",
-       "      <td>178371.1590</td>\n",
-       "      <td>2.327246e+06</td>\n",
-       "      <td>17901.894469</td>\n",
-       "      <td>13288.481111</td>\n",
-       "      <td>0.047480</td>\n",
-       "      <td>0.005194</td>\n",
-       "      <td>7103</td>\n",
-       "      <td>12.955117</td>\n",
-       "      <td>9.792718</td>\n",
-       "      <td>5.501836</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>200000146</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>212108.397869</td>\n",
-       "      <td>210616.5330</td>\n",
-       "      <td>457533.3310</td>\n",
-       "      <td>1.150546e+06</td>\n",
-       "      <td>8850.350438</td>\n",
-       "      <td>10074.748210</td>\n",
-       "      <td>0.051622</td>\n",
-       "      <td>0.024910</td>\n",
-       "      <td>4774</td>\n",
-       "      <td>12.264857</td>\n",
-       "      <td>9.088325</td>\n",
-       "      <td>5.424328</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>200000147</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>145729.199224</td>\n",
-       "      <td>79260.8255</td>\n",
-       "      <td>677492.4351</td>\n",
-       "      <td>1.213963e+06</td>\n",
-       "      <td>9338.178685</td>\n",
-       "      <td>13868.197522</td>\n",
-       "      <td>0.061164</td>\n",
-       "      <td>0.022213</td>\n",
-       "      <td>7585</td>\n",
-       "      <td>11.889512</td>\n",
-       "      <td>9.141974</td>\n",
-       "      <td>8.330268</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID  n_months  n_active_months  flow_freq   aum_qty_mean  \\\n",
-       "0                  18872       130              130   1.000000  143505.697354   \n",
-       "1              200000076       130              119   0.915385   24141.541138   \n",
-       "2              200000082       130              130   1.000000  422994.464523   \n",
-       "3              200000146       130              130   1.000000  212108.397869   \n",
-       "4              200000147       130              130   1.000000  145729.199224   \n",
-       "\n",
-       "   aum_qty_median  net_flow_qty_sum  gross_flow_qty_sum  gross_flow_qty_mean  \\\n",
-       "0     144653.1645       -45677.1480        1.244126e+06          9570.200015   \n",
-       "1      19888.8255        54791.9840        2.314415e+05          1780.319492   \n",
-       "2     462973.7880       178371.1590        2.327246e+06         17901.894469   \n",
-       "3     210616.5330       457533.3310        1.150546e+06          8850.350438   \n",
-       "4      79260.8255       677492.4351        1.213963e+06          9338.178685   \n",
-       "\n",
-       "   net_flow_qty_vol  rel_intensity  netflow_to_aum  n_tx_total  \\\n",
-       "0       9832.357264       0.069449       -0.003918        1926   \n",
-       "1       2838.000232       0.083230       -0.000893         518   \n",
-       "2      13288.481111       0.047480        0.005194        7103   \n",
-       "3      10074.748210       0.051622        0.024910        4774   \n",
-       "4      13868.197522       0.061164        0.022213        7585   \n",
-       "\n",
-       "   log_aum_qty_mean  log_gross_flow_qty_mean  gross_flow_to_aum  \n",
-       "0         11.874137                 9.166514           8.669523  \n",
-       "1         10.091731                 7.485110           9.586858  \n",
-       "2         12.955117                 9.792718           5.501836  \n",
-       "3         12.264857                 9.088325           5.424328  \n",
-       "4         11.889512                 9.141974           8.330268  "
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "eps = 1e-9  \n",
-    "\n",
-    "# 1) Active month indicator: did the client trade this month?\n",
-    "df_month[\"active_month\"] = (df_month[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "\n",
-    "#client avec beaucoup de mois à 0 → “stable / dormant”\n",
-    "#client actif presque tous les mois → “rebalancer / institutionnel actif”\n",
-    "\n",
-    "\n",
-    "# 2) Monthly relative intensity (turnover proxy in quantity terms) : Mesurer l’intensité de trading relativement à la taille et pouvoir ocmparer client petit avec client plus gros\n",
-    "df_month[\"rel_intensity_m\"] = df_month[\"gross_flow_qty\"] / (df_month[\"aum_qty\"].abs() + eps)\n",
-    "\n",
-    "# 3) Monthly net flow ratio (directional change): sert a Capturer la direction de la dynamique\n",
-    "df_month[\"netflow_to_aum_m\"] = df_month[\"net_flow_qty\"] / (df_month[\"aum_qty\"].abs() + eps)\n",
-    "\n",
-    "# 4) Aggregate to client-level features (1 row per client)\n",
-    "df_client_feat = (\n",
-    "    df_month.groupby(ID_COL, as_index=False)\n",
-    "            .agg(\n",
-    "                # Coverage / activity\n",
-    "                n_months=(\"month\", \"nunique\"),\n",
-    "                n_active_months=(\"active_month\", \"sum\"),\n",
-    "                flow_freq=(\"active_month\", \"mean\"),\n",
-    "\n",
-    "                # Size in quantity terms\n",
-    "                aum_qty_mean=(\"aum_qty\", \"mean\"),\n",
-    "                aum_qty_median=(\"aum_qty\", \"median\"),\n",
-    "\n",
-    "                # Flows in quantity terms\n",
-    "                net_flow_qty_sum=(\"net_flow_qty\", \"sum\"),\n",
-    "                gross_flow_qty_sum=(\"gross_flow_qty\", \"sum\"),\n",
-    "                gross_flow_qty_mean=(\"gross_flow_qty\", \"mean\"),\n",
-    "\n",
-    "                # Dispersion / volatility proxy\n",
-    "                net_flow_qty_vol=(\"net_flow_qty\", \"std\"),\n",
-    "                rel_intensity=(\"rel_intensity_m\", \"mean\"),\n",
-    "                netflow_to_aum=(\"netflow_to_aum_m\", \"mean\"),\n",
-    "\n",
-    "                # Trading frequency proxy\n",
-    "                n_tx_total=(\"n_tx\", \"sum\"),\n",
-    "            )\n",
-    ")\n",
-    "\n",
-    "# 5) Clean NaNs due to std on constant series\n",
-    "df_client_feat[\"net_flow_qty_vol\"] = df_client_feat[\"net_flow_qty_vol\"].fillna(0.0)\n",
-    "\n",
-    "# 6) Log transforms (useful because distributions are heavy-tailed)\n",
-    "df_client_feat[\"log_aum_qty_mean\"] = np.log1p(df_client_feat[\"aum_qty_mean\"].clip(lower=0))\n",
-    "df_client_feat[\"log_gross_flow_qty_mean\"] = np.log1p(df_client_feat[\"gross_flow_qty_mean\"].clip(lower=0))\n",
-    "\n",
-    "# 7) Global turnover proxy\n",
-    "df_client_feat[\"gross_flow_to_aum\"] = df_client_feat[\"gross_flow_qty_sum\"] / (df_client_feat[\"aum_qty_mean\"].abs() + eps)\n",
-    "\n",
-    "df_client_feat.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "id": "4ddd1305-fe5a-4d0f-b4d3-b07de27b5dc6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(431, 16)"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_client_feat.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "id": "34a37448-ab63-4fc1-8c93-f9f59db385c2",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Filtered clients: (421, 16)\n"
-     ]
-    }
-   ],
-   "source": [
-    "dfc = df_client_feat.copy()\n",
-    "\n",
-    "# Minimal filters (adjust if needed)\n",
-    "dfc = dfc[(dfc[\"n_months\"] >= 6)]                  # at least 6 observed months\n",
-    "dfc = dfc[(dfc[\"aum_qty_mean\"].abs() > 0)]         # avoid zero holdings\n",
-    "print(\"Filtered clients:\", dfc.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "id": "2763cc28-f9a7-4ced-8331-c2b79ac7c122",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Q33: 1946.5229933948517  Q66: 8013.920450704226\n",
-      "seg_quantiles\n",
-      "High-flow            143\n",
-      "Low-flow             139\n",
-      "Intermediate-flow    139\n",
-      "Name: count, dtype: int64\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Baseline Clustering 1\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "\n",
-    "\n",
-    "# Baseline 1 variable: average monthly gross traded quantity\n",
-    "x = dfc[\"gross_flow_qty_mean\"].copy()\n",
-    "\n",
-    "q33, q66 = x.quantile([0.33, 0.66])\n",
-    "\n",
-    "dfc[\"seg_quantiles\"] = pd.cut(\n",
-    "    x,\n",
-    "    bins=[-np.inf, q33, q66, np.inf],\n",
-    "    labels=[\"Low-flow\", \"Intermediate-flow\", \"High-flow\"]\n",
-    ")\n",
-    "\n",
-    "print(\"Q33:\", q33, \" Q66:\", q66)\n",
-    "print(dfc[\"seg_quantiles\"].value_counts(dropna=False))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "id": "5afe137b-a09c-4fbc-a03c-b54f0422862d",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure()\n",
-    "plt.hist(dfc[\"gross_flow_qty_mean\"], bins=100)\n",
-    "plt.axvline(q33, linestyle=\"--\")\n",
-    "plt.axvline(q66, linestyle=\"--\")\n",
-    "plt.xlabel(\"Average monthly gross flow (quantity)\")\n",
-    "plt.ylabel(\"Count\")\n",
-    "plt.title(\"Distribution of average monthly gross flows (quantity) with quantile thresholds\")\n",
-    "plt.show()\n",
-    "\n",
-    "#X= activite moyenen mensuelle , Y = combien de client ont cette valeurde X"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "id": "619559a8-c205-4e25-a810-4d80894644c2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure()\n",
-    "plt.hist(np.log1p(dfc[\"gross_flow_qty_mean\"]), bins=100)\n",
-    "plt.axvline(np.log1p(q33), linestyle=\"--\")\n",
-    "plt.axvline(np.log1p(q66), linestyle=\"--\")\n",
-    "plt.xlabel(\"log(1 + avg monthly gross flow) (quantity)\")\n",
-    "plt.ylabel(\"Count\")\n",
-    "plt.title(\"Log-distribution of average monthly gross flows (quantity)\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "id": "af32c07d-3908-428a-b388-a6e1a8d528bd",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_1011/630006569.py:3: MatplotlibDeprecationWarning: The 'labels' parameter of boxplot() has been renamed 'tick_labels' since Matplotlib 3.9; support for the old name will be dropped in 3.11.\n",
-      "  plt.boxplot(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "#limite client size \n",
-    "plt.figure()\n",
-    "plt.boxplot(\n",
-    "    [dfc.loc[dfc[\"seg_quantiles\"]==s, \"aum_qty_mean\"].dropna()\n",
-    "     for s in [\"Low-flow\",\"Intermediate-flow\",\"High-flow\"]],\n",
-    "    labels=[\"Low\",\"Mid\",\"High\"]\n",
-    ")\n",
-    "plt.yscale(\"log\")\n",
-    "plt.ylabel(\"Mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"Client size differs widely within flow-intensity segments (quantity AUM)\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "id": "0596d9fe-524a-493a-948a-69f37075d1ca",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "count    421.000000\n",
-       "mean      80.643705\n",
-       "std       37.155098\n",
-       "min        7.000000\n",
-       "25%       52.000000\n",
-       "50%       71.000000\n",
-       "75%      130.000000\n",
-       "max      130.000000\n",
-       "Name: n_months, dtype: float64"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Baseline 2\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "dfc[\"n_months\"].describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 116,
-   "id": "56ac17f8-a25f-4726-a7ac-103a35ac6d6a",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "seg_2D\n",
-      "Highly active (high int, high freq)             109\n",
-      "Small rebalancers (low int, high freq)          106\n",
-      "Dormant (low int, low freq)                     104\n",
-      "Occasional large movers (high int, low freq)    102\n",
-      "Name: count, dtype: int64\n",
-      "thr_int: 4.174084305917157 thr_freq: 0.9859154929577465\n"
-     ]
-    }
-   ],
-   "source": [
-    "dfc[\"rel_intensity_total\"] = dfc[\"gross_flow_to_aum\"]  # turnover proxy\n",
-    "dfc[\"frequency\"] = dfc[\"flow_freq\"]                    # share of active months\n",
-    "\n",
-    "# Thresholds: medians (simple + explainable)\n",
-    "thr_int = dfc[\"rel_intensity_total\"].median()\n",
-    "thr_freq = dfc[\"frequency\"].median()\n",
-    "thr_tx = dfc[\"n_tx_total\"].median()\n",
-    "\n",
-    "def quadrant(row):\n",
-    "    low_int = row[\"rel_intensity_total\"] < thr_int\n",
-    "    low_frq = row[\"frequency\"] < thr_freq\n",
-    "\n",
-    "    if low_int and low_frq:\n",
-    "        return \"Dormant (low int, low freq)\"\n",
-    "    if low_int and (not low_frq):\n",
-    "        return \"Small rebalancers (low int, high freq)\"\n",
-    "    if (not low_int) and low_frq:\n",
-    "        return \"Occasional large movers (high int, low freq)\"\n",
-    "    return \"Highly active (high int, high freq)\"\n",
-    "\n",
-    "dfc[\"seg_2D\"] = dfc.apply(quadrant, axis=1)\n",
-    "\n",
-    "print(dfc[\"seg_2D\"].value_counts())\n",
-    "print(\"thr_int:\", thr_int, \"thr_freq:\", thr_freq)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 196,
-   "id": "8635328a-fb66-45cb-b0fa-d1dc6c3cc1e1",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure()\n",
-    "for name, g in dfc.groupby(\"seg_2D\"):\n",
-    "    plt.scatter(g[\"frequency\"], g[\"rel_intensity_total\"], s=10, label=name)\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_int, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency (400+ Accounts)\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.show()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "id": "9bf72f4b-95ac-4233-929b-47f6f101db49",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_med</th>\n",
-       "      <th>gross_flow_qty_med</th>\n",
-       "      <th>freq_med</th>\n",
-       "      <th>rel_int_med</th>\n",
-       "      <th>n_tx_med</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>seg_2D</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Highly active (high int, high freq)</th>\n",
-       "      <td>109</td>\n",
-       "      <td>106244.381208</td>\n",
-       "      <td>7877.054714</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>7.201297</td>\n",
-       "      <td>3861.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Small rebalancers (low int, high freq)</th>\n",
-       "      <td>106</td>\n",
-       "      <td>108438.852153</td>\n",
-       "      <td>4100.832454</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2.468000</td>\n",
-       "      <td>2067.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Dormant (low int, low freq)</th>\n",
-       "      <td>104</td>\n",
-       "      <td>55310.790504</td>\n",
-       "      <td>1687.835370</td>\n",
-       "      <td>0.632500</td>\n",
-       "      <td>1.641374</td>\n",
-       "      <td>110.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Occasional large movers (high int, low freq)</th>\n",
-       "      <td>102</td>\n",
-       "      <td>37406.845662</td>\n",
-       "      <td>2949.680688</td>\n",
-       "      <td>0.830986</td>\n",
-       "      <td>8.951903</td>\n",
-       "      <td>536.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                              n_clients    aum_qty_med  \\\n",
-       "seg_2D                                                                   \n",
-       "Highly active (high int, high freq)                 109  106244.381208   \n",
-       "Small rebalancers (low int, high freq)              106  108438.852153   \n",
-       "Dormant (low int, low freq)                         104   55310.790504   \n",
-       "Occasional large movers (high int, low freq)        102   37406.845662   \n",
-       "\n",
-       "                                              gross_flow_qty_med  freq_med  \\\n",
-       "seg_2D                                                                       \n",
-       "Highly active (high int, high freq)                  7877.054714  1.000000   \n",
-       "Small rebalancers (low int, high freq)               4100.832454  1.000000   \n",
-       "Dormant (low int, low freq)                          1687.835370  0.632500   \n",
-       "Occasional large movers (high int, low freq)         2949.680688  0.830986   \n",
-       "\n",
-       "                                              rel_int_med  n_tx_med  \n",
-       "seg_2D                                                               \n",
-       "Highly active (high int, high freq)              7.201297    3861.0  \n",
-       "Small rebalancers (low int, high freq)           2.468000    2067.5  \n",
-       "Dormant (low int, low freq)                      1.641374     110.5  \n",
-       "Occasional large movers (high int, low freq)     8.951903     536.0  "
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "profile_2d = (\n",
-    "    dfc.groupby(\"seg_2D\")\n",
-    "       .agg(\n",
-    "           n_clients=(ID_COL, \"count\"),\n",
-    "           aum_qty_med=(\"aum_qty_mean\",\"median\"),\n",
-    "           gross_flow_qty_med=(\"gross_flow_qty_mean\",\"median\"),\n",
-    "           freq_med=(\"frequency\",\"median\"),\n",
-    "           rel_int_med=(\"rel_intensity_total\",\"median\"),\n",
-    "           n_tx_med=(\"n_tx_total\",\"median\"),\n",
-    "       )\n",
-    "       .sort_values(\"n_clients\", ascending=False)\n",
-    ")\n",
-    "profile_2d\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 225,
-   "id": "0434097b-ff04-4fc7-8430-8e3e4c8ab120",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Clustering matrix shape: (421, 6)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Kmeans\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "from sklearn.preprocessing import StandardScaler\n",
-    "from sklearn.cluster import KMeans\n",
-    "from sklearn.metrics import silhouette_score\n",
-    "from sklearn.mixture import GaussianMixture\n",
-    "\n",
-    "# Safety: ensure baseline-2 columns exist\n",
-    "dfc = dfc.copy()\n",
-    "dfc[\"frequency\"] = dfc[\"flow_freq\"]\n",
-    "dfc[\"rel_intensity_total\"] = dfc[\"gross_flow_to_aum\"]\n",
-    "\n",
-    "# Choose a compact, interpretable feature set (quantity-based)\n",
-    "features = [\n",
-    "    \"log_aum_qty_mean\",            # size (log)\n",
-    "    \"log_gross_flow_qty_mean\",     # activity intensity (log)\n",
-    "    \"frequency\",                   # activity frequency\n",
-    "    \"rel_intensity_total\",         # turnover proxy\n",
-    "    \"net_flow_qty_vol\",            # volatility of net flows\n",
-    "    \"n_tx_total\",                  # total number of transactions\n",
-    "]\n",
-    "\n",
-    "# Build X (drop NaNs/Infs)\n",
-    "X = (dfc[features]\n",
-    "     .replace([np.inf, -np.inf], np.nan)\n",
-    "     .dropna()\n",
-    "     .copy())\n",
-    "\n",
-    "# Keep IDs aligned\n",
-    "ids = dfc.loc[X.index, ID_COL].copy()\n",
-    "\n",
-    "# Standardize (critical for distance-based clustering)\n",
-    "scaler = StandardScaler()\n",
-    "X_scaled = scaler.fit_transform(X)\n",
-    "\n",
-    "print(\"Clustering matrix shape:\", X_scaled.shape)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 239,
-   "id": "9980bfb5-4655-44f1-ad46-6532e161a0bf",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>log_aum_qty_mean</th>\n",
-       "      <th>log_gross_flow_qty_mean</th>\n",
-       "      <th>frequency</th>\n",
-       "      <th>rel_intensity_total</th>\n",
-       "      <th>net_flow_qty_vol</th>\n",
-       "      <th>n_tx_total</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>11.874137</td>\n",
-       "      <td>9.166514</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>8.669523</td>\n",
-       "      <td>9832.357264</td>\n",
-       "      <td>1926</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>10.091731</td>\n",
-       "      <td>7.485110</td>\n",
-       "      <td>0.915385</td>\n",
-       "      <td>9.586858</td>\n",
-       "      <td>2838.000232</td>\n",
-       "      <td>518</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>12.955117</td>\n",
-       "      <td>9.792718</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>5.501836</td>\n",
-       "      <td>13288.481111</td>\n",
-       "      <td>7103</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>12.264857</td>\n",
-       "      <td>9.088325</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>5.424328</td>\n",
-       "      <td>10074.748210</td>\n",
-       "      <td>4774</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>11.889512</td>\n",
-       "      <td>9.141974</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>8.330268</td>\n",
-       "      <td>13868.197522</td>\n",
-       "      <td>7585</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",
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-       "    <tr>\n",
-       "      <th>426</th>\n",
-       "      <td>11.614810</td>\n",
-       "      <td>9.116890</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>10.692193</td>\n",
-       "      <td>13260.634566</td>\n",
-       "      <td>2921</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>427</th>\n",
-       "      <td>11.294315</td>\n",
-       "      <td>9.205628</td>\n",
-       "      <td>0.430769</td>\n",
-       "      <td>16.099039</td>\n",
-       "      <td>28616.097840</td>\n",
-       "      <td>185</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>428</th>\n",
-       "      <td>11.638514</td>\n",
-       "      <td>8.072315</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.412726</td>\n",
-       "      <td>2193.842219</td>\n",
-       "      <td>2142</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>429</th>\n",
-       "      <td>11.200555</td>\n",
-       "      <td>8.946562</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>13.645709</td>\n",
-       "      <td>11205.382980</td>\n",
-       "      <td>2264</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>430</th>\n",
-       "      <td>10.454506</td>\n",
-       "      <td>8.009115</td>\n",
-       "      <td>0.976923</td>\n",
-       "      <td>11.266566</td>\n",
-       "      <td>4359.629462</td>\n",
-       "      <td>1507</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>421 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     log_aum_qty_mean  log_gross_flow_qty_mean  frequency  \\\n",
-       "0           11.874137                 9.166514   1.000000   \n",
-       "1           10.091731                 7.485110   0.915385   \n",
-       "2           12.955117                 9.792718   1.000000   \n",
-       "3           12.264857                 9.088325   1.000000   \n",
-       "4           11.889512                 9.141974   1.000000   \n",
-       "..                ...                      ...        ...   \n",
-       "426         11.614810                 9.116890   1.000000   \n",
-       "427         11.294315                 9.205628   0.430769   \n",
-       "428         11.638514                 8.072315   1.000000   \n",
-       "429         11.200555                 8.946562   1.000000   \n",
-       "430         10.454506                 8.009115   0.976923   \n",
-       "\n",
-       "     rel_intensity_total  net_flow_qty_vol  n_tx_total  \n",
-       "0               8.669523       9832.357264        1926  \n",
-       "1               9.586858       2838.000232         518  \n",
-       "2               5.501836      13288.481111        7103  \n",
-       "3               5.424328      10074.748210        4774  \n",
-       "4               8.330268      13868.197522        7585  \n",
-       "..                   ...               ...         ...  \n",
-       "426            10.692193      13260.634566        2921  \n",
-       "427            16.099039      28616.097840         185  \n",
-       "428             1.412726       2193.842219        2142  \n",
-       "429            13.645709      11205.382980        2264  \n",
-       "430            11.266566       4359.629462        1507  \n",
-       "\n",
-       "[421 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 239,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "X"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 240,
-   "id": "c697888b-cb72-4a98-86af-56647f5a5161",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>log_aum_qty_mean</th>\n",
-       "      <th>log_gross_flow_qty_mean</th>\n",
-       "      <th>frequency</th>\n",
-       "      <th>rel_intensity_total</th>\n",
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-       "      <th>409</th>\n",
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-       "      <td>11.110770</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.484969</td>\n",
-       "      <td>30763.896059</td>\n",
-       "      <td>27296</td>\n",
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-       "    <tr>\n",
-       "      <th>...</th>\n",
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-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
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-       "    <tr>\n",
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-       "      <td>7.942331</td>\n",
-       "      <td>0.043478</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>13490.257463</td>\n",
-       "      <td>1</td>\n",
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-       "    <tr>\n",
-       "      <th>238</th>\n",
-       "      <td>9.093884</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>198</th>\n",
-       "      <td>10.191618</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>266</th>\n",
-       "      <td>8.939081</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>328</th>\n",
-       "      <td>12.580429</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>421 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     log_aum_qty_mean  log_gross_flow_qty_mean  frequency  \\\n",
-       "409         12.907910                10.377945   0.984615   \n",
-       "381         14.850749                11.109940   1.000000   \n",
-       "399         14.329599                10.848036   1.000000   \n",
-       "418         14.247808                11.848117   1.000000   \n",
-       "419         14.627385                11.110770   1.000000   \n",
-       "..                ...                      ...        ...   \n",
-       "314         11.077486                 7.942331   0.043478   \n",
-       "238          9.093884                 0.000000   0.000000   \n",
-       "198         10.191618                 0.000000   0.000000   \n",
-       "266          8.939081                 0.000000   0.000000   \n",
-       "328         12.580429                 0.000000   0.000000   \n",
-       "\n",
-       "     rel_intensity_total  net_flow_qty_vol  n_tx_total  \n",
-       "409            10.355747      25238.018408       38671  \n",
-       "381             3.085492      39047.638017       36949  \n",
-       "399             3.998634      32239.885939       36456  \n",
-       "418            11.796898      99058.868316       28497  \n",
-       "419             1.484969      30763.896059       27296  \n",
-       "..                   ...               ...         ...  \n",
-       "314             1.000000      13490.257463           1  \n",
-       "238             0.000000          0.000000           0  \n",
-       "198             0.000000          0.000000           0  \n",
-       "266             0.000000          0.000000           0  \n",
-       "328             0.000000          0.000000           0  \n",
-       "\n",
-       "[421 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 240,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "X_sorted = X.sort_values(by=\"n_tx_total\", ascending=False)\n",
-    "X_sorted"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 226,
-   "id": "e18be5a6-c8af-47f9-888f-3edf21bd28dd",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Best K by silhouette: 5\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "' Ce que c’est :\\nInertia = somme des distances intra-cluster (SSE).\\nPlus elle baisse, plus les clusters sont “serrés”.\\n\\nComment lire :\\nQuand K augmente, inertia baisse toujours (normal).\\nOn cherche un “coude” : à partir d’un certain K, ajouter des clusters apporte peu\\n'"
-      ]
-     },
-     "execution_count": 226,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "k_range = range(2, 21)\n",
-    "inertias = []\n",
-    "silhouettes = []\n",
-    "\n",
-    "for k in k_range:\n",
-    "    km = KMeans(n_clusters=k, n_init=30, random_state=42)\n",
-    "    labels = km.fit_predict(X_scaled)\n",
-    "    inertias.append(km.inertia_)\n",
-    "    silhouettes.append(silhouette_score(X_scaled, labels))\n",
-    "\n",
-    "# Elbow plot\n",
-    "plt.figure()\n",
-    "plt.plot(list(k_range), inertias, marker=\"o\")\n",
-    "plt.xlabel(\"Number of clusters K\")\n",
-    "plt.ylabel(\"Inertia (within-cluster SSE)\")\n",
-    "plt.title(\"Elbow curve for K-means\")\n",
-    "plt.show()\n",
-    "\n",
-    "# Silhouette plot\n",
-    "plt.figure()\n",
-    "plt.plot(list(k_range), silhouettes, marker=\"o\")\n",
-    "plt.xlabel(\"Number of clusters K\")\n",
-    "plt.ylabel(\"Silhouette score\")\n",
-    "plt.title(\"Silhouette score for K-means\")\n",
-    "plt.show()\n",
-    "\n",
-    "best_k = list(k_range)[int(np.argmax(silhouettes))]\n",
-    "print(\"Best K by silhouette:\", best_k)\n",
-    "\n",
-    "\n",
-    "''' Ce que c’est :\n",
-    "Inertia = somme des distances intra-cluster (SSE).\n",
-    "Plus elle baisse, plus les clusters sont “serrés”.\n",
-    "\n",
-    "Comment lire :\n",
-    "Quand K augmente, inertia baisse toujours (normal).\n",
-    "On cherche un “coude” : à partir d’un certain K, ajouter des clusters apporte peu\n",
-    "'''"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 227,
-   "id": "2759f049-d8fe-4fee-9bc9-856a28b392a9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_med</th>\n",
-       "      <th>freq_med</th>\n",
-       "      <th>rel_int_med</th>\n",
-       "      <th>gross_flow_med</th>\n",
-       "      <th>n_tx_med</th>\n",
-       "      <th>vol_med</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_kmeans</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2.0</th>\n",
-       "      <td>235</td>\n",
-       "      <td>3.936071e+04</td>\n",
-       "      <td>0.986111</td>\n",
-       "      <td>4.136974</td>\n",
-       "      <td>2031.883965</td>\n",
-       "      <td>1069.0</td>\n",
-       "      <td>2.735326e+03</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.0</th>\n",
-       "      <td>105</td>\n",
-       "      <td>4.528840e+05</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>4.651358</td>\n",
-       "      <td>28651.252789</td>\n",
-       "      <td>7585.0</td>\n",
-       "      <td>3.004524e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0.0</th>\n",
-       "      <td>66</td>\n",
-       "      <td>6.912599e+04</td>\n",
-       "      <td>0.109903</td>\n",
-       "      <td>1.632692</td>\n",
-       "      <td>2773.037334</td>\n",
-       "      <td>7.5</td>\n",
-       "      <td>1.080610e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4.0</th>\n",
-       "      <td>13</td>\n",
-       "      <td>4.783496e+04</td>\n",
-       "      <td>0.884615</td>\n",
-       "      <td>27.093690</td>\n",
-       "      <td>10629.415385</td>\n",
-       "      <td>1712.0</td>\n",
-       "      <td>1.876254e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3.0</th>\n",
-       "      <td>2</td>\n",
-       "      <td>1.470709e+07</td>\n",
-       "      <td>0.586207</td>\n",
-       "      <td>5.705179</td>\n",
-       "      <td>851698.564766</td>\n",
-       "      <td>2210.5</td>\n",
-       "      <td>3.218539e+06</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                n_clients   aum_qty_med  freq_med  rel_int_med  \\\n",
-       "cluster_kmeans                                                   \n",
-       "2.0                   235  3.936071e+04  0.986111     4.136974   \n",
-       "1.0                   105  4.528840e+05  1.000000     4.651358   \n",
-       "0.0                    66  6.912599e+04  0.109903     1.632692   \n",
-       "4.0                    13  4.783496e+04  0.884615    27.093690   \n",
-       "3.0                     2  1.470709e+07  0.586207     5.705179   \n",
-       "\n",
-       "                gross_flow_med  n_tx_med       vol_med  \n",
-       "cluster_kmeans                                          \n",
-       "2.0                2031.883965    1069.0  2.735326e+03  \n",
-       "1.0               28651.252789    7585.0  3.004524e+04  \n",
-       "0.0                2773.037334       7.5  1.080610e+04  \n",
-       "4.0               10629.415385    1712.0  1.876254e+04  \n",
-       "3.0              851698.564766    2210.5  3.218539e+06  "
-      ]
-     },
-     "execution_count": 227,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "km = KMeans(n_clusters=best_k, n_init=50, random_state=42)\n",
-    "labels_km = km.fit_predict(X_scaled)\n",
-    "\n",
-    "dfc.loc[X.index, \"cluster_kmeans\"] = labels_km\n",
-    "\n",
-    "# Profiling table (medians = robust to outliers)\n",
-    "k_profile = (\n",
-    "    dfc.loc[X.index]\n",
-    "      .groupby(\"cluster_kmeans\")\n",
-    "      .agg(\n",
-    "          n_clients=(ID_COL, \"count\"),\n",
-    "          aum_qty_med=(\"aum_qty_mean\", \"median\"),\n",
-    "          freq_med=(\"frequency\", \"median\"),\n",
-    "          rel_int_med=(\"rel_intensity_total\", \"median\"),\n",
-    "          gross_flow_med=(\"gross_flow_qty_mean\", \"median\"),\n",
-    "          n_tx_med=(\"n_tx_total\", \"median\"),\n",
-    "          vol_med=(\"net_flow_qty_vol\", \"median\"),\n",
-    "      )\n",
-    "      .sort_values(\"n_clients\", ascending=False)\n",
-    ")\n",
-    "\n",
-    "k_profile\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "id": "f7883188-9981-431b-9d33-d330b8b9dfc2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>n_months</th>\n",
-       "      <th>n_active_months</th>\n",
-       "      <th>flow_freq</th>\n",
-       "      <th>aum_qty_mean</th>\n",
-       "      <th>aum_qty_median</th>\n",
-       "      <th>net_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_mean</th>\n",
-       "      <th>net_flow_qty_vol</th>\n",
-       "      <th>...</th>\n",
-       "      <th>netflow_to_aum</th>\n",
-       "      <th>n_tx_total</th>\n",
-       "      <th>log_aum_qty_mean</th>\n",
-       "      <th>log_gross_flow_qty_mean</th>\n",
-       "      <th>gross_flow_to_aum</th>\n",
-       "      <th>seg_quantiles</th>\n",
-       "      <th>rel_intensity_total</th>\n",
-       "      <th>frequency</th>\n",
-       "      <th>seg_2D</th>\n",
-       "      <th>cluster_kmeans</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>240</th>\n",
-       "      <td>200130818</td>\n",
-       "      <td>58</td>\n",
-       "      <td>10</td>\n",
-       "      <td>0.172414</td>\n",
-       "      <td>3.819992e+06</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>9.586849e+06</td>\n",
-       "      <td>3.429192e+07</td>\n",
-       "      <td>5.912401e+05</td>\n",
-       "      <td>2.088032e+06</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-4.619540e+07</td>\n",
-       "      <td>11</td>\n",
-       "      <td>15.155759</td>\n",
-       "      <td>13.289979</td>\n",
-       "      <td>8.976963</td>\n",
-       "      <td>High-flow</td>\n",
-       "      <td>8.976963</td>\n",
-       "      <td>0.172414</td>\n",
-       "      <td>Occasional large movers (high int, low freq)</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>246</th>\n",
-       "      <td>200130906</td>\n",
-       "      <td>56</td>\n",
-       "      <td>56</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2.559419e+07</td>\n",
-       "      <td>2.814182e+07</td>\n",
-       "      <td>1.482869e+07</td>\n",
-       "      <td>6.228080e+07</td>\n",
-       "      <td>1.112157e+06</td>\n",
-       "      <td>4.349047e+06</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.092506e-03</td>\n",
-       "      <td>4410</td>\n",
-       "      <td>17.057876</td>\n",
-       "      <td>13.921813</td>\n",
-       "      <td>2.433395</td>\n",
-       "      <td>High-flow</td>\n",
-       "      <td>2.433395</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Small rebalancers (low int, high freq)</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>2 rows × 21 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    Registrar Account - ID  n_months  n_active_months  flow_freq  \\\n",
-       "240              200130818        58               10   0.172414   \n",
-       "246              200130906        56               56   1.000000   \n",
-       "\n",
-       "     aum_qty_mean  aum_qty_median  net_flow_qty_sum  gross_flow_qty_sum  \\\n",
-       "240  3.819992e+06    0.000000e+00      9.586849e+06        3.429192e+07   \n",
-       "246  2.559419e+07    2.814182e+07      1.482869e+07        6.228080e+07   \n",
-       "\n",
-       "     gross_flow_qty_mean  net_flow_qty_vol  ...  netflow_to_aum  n_tx_total  \\\n",
-       "240         5.912401e+05      2.088032e+06  ...   -4.619540e+07          11   \n",
-       "246         1.112157e+06      4.349047e+06  ...    4.092506e-03        4410   \n",
-       "\n",
-       "     log_aum_qty_mean  log_gross_flow_qty_mean  gross_flow_to_aum  \\\n",
-       "240         15.155759                13.289979           8.976963   \n",
-       "246         17.057876                13.921813           2.433395   \n",
-       "\n",
-       "     seg_quantiles rel_intensity_total  frequency  \\\n",
-       "240      High-flow            8.976963   0.172414   \n",
-       "246      High-flow            2.433395   1.000000   \n",
-       "\n",
-       "                                           seg_2D cluster_kmeans  \n",
-       "240  Occasional large movers (high int, low freq)            3.0  \n",
-       "246        Small rebalancers (low int, high freq)            3.0  \n",
-       "\n",
-       "[2 rows x 21 columns]"
-      ]
-     },
-     "execution_count": 74,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dfc[dfc['cluster_kmeans']==3.0]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 83,
-   "id": "9e26e6c4-ea3e-4aad-9136-a3bbbad8ad47",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>n_months</th>\n",
-       "      <th>n_active_months</th>\n",
-       "      <th>flow_freq</th>\n",
-       "      <th>aum_qty_mean</th>\n",
-       "      <th>aum_qty_median</th>\n",
-       "      <th>net_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_mean</th>\n",
-       "      <th>net_flow_qty_vol</th>\n",
-       "      <th>...</th>\n",
-       "      <th>netflow_to_aum</th>\n",
-       "      <th>n_tx_total</th>\n",
-       "      <th>log_aum_qty_mean</th>\n",
-       "      <th>log_gross_flow_qty_mean</th>\n",
-       "      <th>gross_flow_to_aum</th>\n",
-       "      <th>seg_quantiles</th>\n",
-       "      <th>rel_intensity_total</th>\n",
-       "      <th>frequency</th>\n",
-       "      <th>seg_2D</th>\n",
-       "      <th>cluster_kmeans</th>\n",
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-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>246</th>\n",
-       "      <td>200130906</td>\n",
-       "      <td>56</td>\n",
-       "      <td>56</td>\n",
-       "      <td>1.000000</td>\n",
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-       "      <td>2.814182e+07</td>\n",
-       "      <td>1.482869e+07</td>\n",
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-       "      <td>1.112157e+06</td>\n",
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-       "      <td>...</td>\n",
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-       "      <td>4410</td>\n",
-       "      <td>17.057876</td>\n",
-       "      <td>13.921813</td>\n",
-       "      <td>2.433395</td>\n",
-       "      <td>High-flow</td>\n",
-       "      <td>2.433395</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Small rebalancers (low int, high freq)</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>355</th>\n",
-       "      <td>364765</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2.729485e+06</td>\n",
-       "      <td>2.268174e+06</td>\n",
-       "      <td>5.924221e+06</td>\n",
-       "      <td>3.910049e+07</td>\n",
-       "      <td>3.007730e+05</td>\n",
-       "      <td>4.111484e+05</td>\n",
-       "      <td>...</td>\n",
-       "      <td>9.821006e-03</td>\n",
-       "      <td>17976</td>\n",
-       "      <td>14.819624</td>\n",
-       "      <td>12.614115</td>\n",
-       "      <td>14.325226</td>\n",
-       "      <td>High-flow</td>\n",
-       "      <td>14.325226</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Highly active (high int, high freq)</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>183</th>\n",
-       "      <td>200127603</td>\n",
-       "      <td>71</td>\n",
-       "      <td>71</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.365998e+07</td>\n",
-       "      <td>1.293037e+07</td>\n",
-       "      <td>1.588720e+07</td>\n",
-       "      <td>3.896140e+07</td>\n",
-       "      <td>5.487521e+05</td>\n",
-       "      <td>5.535868e+05</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2.203899e-02</td>\n",
-       "      <td>2044</td>\n",
-       "      <td>16.429981</td>\n",
-       "      <td>13.215404</td>\n",
-       "      <td>2.852229</td>\n",
-       "      <td>High-flow</td>\n",
-       "      <td>2.852229</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Small rebalancers (low int, high freq)</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>213</th>\n",
-       "      <td>200128363</td>\n",
-       "      <td>67</td>\n",
-       "      <td>55</td>\n",
-       "      <td>0.820896</td>\n",
-       "      <td>1.092064e+07</td>\n",
-       "      <td>9.611394e+06</td>\n",
-       "      <td>7.331428e+06</td>\n",
-       "      <td>3.823942e+07</td>\n",
-       "      <td>5.707376e+05</td>\n",
-       "      <td>7.883754e+05</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.514853e-02</td>\n",
-       "      <td>957</td>\n",
-       "      <td>16.206165</td>\n",
-       "      <td>13.254687</td>\n",
-       "      <td>3.501573</td>\n",
-       "      <td>High-flow</td>\n",
-       "      <td>3.501573</td>\n",
-       "      <td>0.820896</td>\n",
-       "      <td>Dormant (low int, low freq)</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>240</th>\n",
-       "      <td>200130818</td>\n",
-       "      <td>58</td>\n",
-       "      <td>10</td>\n",
-       "      <td>0.172414</td>\n",
-       "      <td>3.819992e+06</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>9.586849e+06</td>\n",
-       "      <td>3.429192e+07</td>\n",
-       "      <td>5.912401e+05</td>\n",
-       "      <td>2.088032e+06</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-4.619540e+07</td>\n",
-       "      <td>11</td>\n",
-       "      <td>15.155759</td>\n",
-       "      <td>13.289979</td>\n",
-       "      <td>8.976963</td>\n",
-       "      <td>High-flow</td>\n",
-       "      <td>8.976963</td>\n",
-       "      <td>0.172414</td>\n",
-       "      <td>Occasional large movers (high int, low freq)</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
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-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\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>210</th>\n",
-       "      <td>200127901</td>\n",
-       "      <td>71</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.028169</td>\n",
-       "      <td>2.728996e+04</td>\n",
-       "      <td>2.731466e+04</td>\n",
-       "      <td>-3.729000e+01</td>\n",
-       "      <td>3.729000e+01</td>\n",
-       "      <td>5.252113e-01</td>\n",
-       "      <td>3.776849e+00</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-1.905423e-05</td>\n",
-       "      <td>2</td>\n",
-       "      <td>10.214311</td>\n",
-       "      <td>0.422133</td>\n",
-       "      <td>0.001366</td>\n",
-       "      <td>Low-flow</td>\n",
-       "      <td>0.001366</td>\n",
-       "      <td>0.028169</td>\n",
-       "      <td>Dormant (low int, low freq)</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>266</th>\n",
-       "      <td>200131477</td>\n",
-       "      <td>34</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>7.623185e+03</td>\n",
-       "      <td>7.623185e+03</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0</td>\n",
-       "      <td>8.939081</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>Low-flow</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>Dormant (low int, low freq)</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>238</th>\n",
-       "      <td>200130743</td>\n",
-       "      <td>69</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>8.899686e+03</td>\n",
-       "      <td>8.410000e+03</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.093884</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>Low-flow</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>Dormant (low int, low freq)</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>198</th>\n",
-       "      <td>200127798</td>\n",
-       "      <td>71</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>2.667762e+04</td>\n",
-       "      <td>2.790356e+04</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10.191618</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>Low-flow</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>Dormant (low int, low freq)</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>328</th>\n",
-       "      <td>200139346</td>\n",
-       "      <td>13</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>2.908100e+05</td>\n",
-       "      <td>2.908100e+05</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0</td>\n",
-       "      <td>12.580429</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>Low-flow</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>Dormant (low int, low freq)</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>421 rows × 21 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    Registrar Account - ID  n_months  n_active_months  flow_freq  \\\n",
-       "246              200130906        56               56   1.000000   \n",
-       "355                 364765       130              130   1.000000   \n",
-       "183              200127603        71               71   1.000000   \n",
-       "213              200128363        67               55   0.820896   \n",
-       "240              200130818        58               10   0.172414   \n",
-       "..                     ...       ...              ...        ...   \n",
-       "210              200127901        71                2   0.028169   \n",
-       "266              200131477        34                0   0.000000   \n",
-       "238              200130743        69                0   0.000000   \n",
-       "198              200127798        71                0   0.000000   \n",
-       "328              200139346        13                0   0.000000   \n",
-       "\n",
-       "     aum_qty_mean  aum_qty_median  net_flow_qty_sum  gross_flow_qty_sum  \\\n",
-       "246  2.559419e+07    2.814182e+07      1.482869e+07        6.228080e+07   \n",
-       "355  2.729485e+06    2.268174e+06      5.924221e+06        3.910049e+07   \n",
-       "183  1.365998e+07    1.293037e+07      1.588720e+07        3.896140e+07   \n",
-       "213  1.092064e+07    9.611394e+06      7.331428e+06        3.823942e+07   \n",
-       "240  3.819992e+06    0.000000e+00      9.586849e+06        3.429192e+07   \n",
-       "..            ...             ...               ...                 ...   \n",
-       "210  2.728996e+04    2.731466e+04     -3.729000e+01        3.729000e+01   \n",
-       "266  7.623185e+03    7.623185e+03      0.000000e+00        0.000000e+00   \n",
-       "238  8.899686e+03    8.410000e+03      0.000000e+00        0.000000e+00   \n",
-       "198  2.667762e+04    2.790356e+04      0.000000e+00        0.000000e+00   \n",
-       "328  2.908100e+05    2.908100e+05      0.000000e+00        0.000000e+00   \n",
-       "\n",
-       "     gross_flow_qty_mean  net_flow_qty_vol  ...  netflow_to_aum  n_tx_total  \\\n",
-       "246         1.112157e+06      4.349047e+06  ...    4.092506e-03        4410   \n",
-       "355         3.007730e+05      4.111484e+05  ...    9.821006e-03       17976   \n",
-       "183         5.487521e+05      5.535868e+05  ...    2.203899e-02        2044   \n",
-       "213         5.707376e+05      7.883754e+05  ...    4.514853e-02         957   \n",
-       "240         5.912401e+05      2.088032e+06  ...   -4.619540e+07          11   \n",
-       "..                   ...               ...  ...             ...         ...   \n",
-       "210         5.252113e-01      3.776849e+00  ...   -1.905423e-05           2   \n",
-       "266         0.000000e+00      0.000000e+00  ...    0.000000e+00           0   \n",
-       "238         0.000000e+00      0.000000e+00  ...    0.000000e+00           0   \n",
-       "198         0.000000e+00      0.000000e+00  ...    0.000000e+00           0   \n",
-       "328         0.000000e+00      0.000000e+00  ...    0.000000e+00           0   \n",
-       "\n",
-       "     log_aum_qty_mean  log_gross_flow_qty_mean  gross_flow_to_aum  \\\n",
-       "246         17.057876                13.921813           2.433395   \n",
-       "355         14.819624                12.614115          14.325226   \n",
-       "183         16.429981                13.215404           2.852229   \n",
-       "213         16.206165                13.254687           3.501573   \n",
-       "240         15.155759                13.289979           8.976963   \n",
-       "..                ...                      ...                ...   \n",
-       "210         10.214311                 0.422133           0.001366   \n",
-       "266          8.939081                 0.000000           0.000000   \n",
-       "238          9.093884                 0.000000           0.000000   \n",
-       "198         10.191618                 0.000000           0.000000   \n",
-       "328         12.580429                 0.000000           0.000000   \n",
-       "\n",
-       "     seg_quantiles rel_intensity_total  frequency  \\\n",
-       "246      High-flow            2.433395   1.000000   \n",
-       "355      High-flow           14.325226   1.000000   \n",
-       "183      High-flow            2.852229   1.000000   \n",
-       "213      High-flow            3.501573   0.820896   \n",
-       "240      High-flow            8.976963   0.172414   \n",
-       "..             ...                 ...        ...   \n",
-       "210       Low-flow            0.001366   0.028169   \n",
-       "266       Low-flow            0.000000   0.000000   \n",
-       "238       Low-flow            0.000000   0.000000   \n",
-       "198       Low-flow            0.000000   0.000000   \n",
-       "328       Low-flow            0.000000   0.000000   \n",
-       "\n",
-       "                                           seg_2D cluster_kmeans  \n",
-       "246        Small rebalancers (low int, high freq)            3.0  \n",
-       "355           Highly active (high int, high freq)            1.0  \n",
-       "183        Small rebalancers (low int, high freq)            1.0  \n",
-       "213                   Dormant (low int, low freq)            1.0  \n",
-       "240  Occasional large movers (high int, low freq)            3.0  \n",
-       "..                                            ...            ...  \n",
-       "210                   Dormant (low int, low freq)            0.0  \n",
-       "266                   Dormant (low int, low freq)            0.0  \n",
-       "238                   Dormant (low int, low freq)            0.0  \n",
-       "198                   Dormant (low int, low freq)            0.0  \n",
-       "328                   Dormant (low int, low freq)            0.0  \n",
-       "\n",
-       "[421 rows x 21 columns]"
-      ]
-     },
-     "execution_count": 83,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dfc.sort_values(by=\"gross_flow_qty_sum\", ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 197,
-   "id": "2437e11b-04d2-4c49-b265-32a5681ef96a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Définition de la correspondance entre les codes numériques et les nouveaux labels\n",
-    "mapping = {\n",
-    "    0.0: \"Cluster 1 (66) : Dormant\",\n",
-    "    1.0: \"Cluster 2 (105) : Highly Active\",\n",
-    "    2.0: \"Cluster 3 (235)\",\n",
-    "    3.0: \"Cluster 4 (2)\",\n",
-    "    4.0: \"Cluster 5 (13) : Large Movers\"\n",
-    "}\n",
-    "\n",
-    "# Création de la nouvelle colonne 'cluster'\n",
-    "dfc['cluster'] = dfc['cluster_kmeans'].map(mapping)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 198,
-   "id": "2a677706-ae26-4474-8a69-a0e486421feb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure()\n",
-    "for name, g in dfc[~dfc['cluster_kmeans'].isin([2.0, 3.0])].groupby(\"cluster\"):\n",
-    "    plt.scatter(g[\"frequency\"], g[\"rel_intensity_total\"], s=10, label=name)\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_int, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.ylim(0.1,100)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 201,
-   "id": "41f5ffd2-1c90-48a6-be8f-adcce2d42185",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure()\n",
-    "for name, g in dfc[dfc['cluster_kmeans']==2.0].groupby(\"cluster\"): \n",
-    "    plt.scatter(g[\"frequency\"], g[\"rel_intensity_total\"], s=10, label=name)\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_int, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.show()\n",
-    "\n",
-    "\n",
-    "#\"log_aum_qty_mean\",            # size (log)\n",
-    " #   \"log_gross_flow_qty_mean\",     # activity intensity (log)\n",
-    " #   \"frequency\",                   # activity frequency\n",
-    "  #  \"rel_intensity_total\",         # turnover proxy\n",
-    "  #  \"net_flow_qty_vol\",            # volatility of net flows\n",
-    "   # \"n_tx_total\",  "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 206,
-   "id": "ba298e96-5919-44d1-91e3-67d38041349f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 2, figsize=(12,5), sharey=True)\n",
-    "\n",
-    "# --- Graphique 1 ---\n",
-    "for name, g in dfc[~dfc['cluster_kmeans'].isin([2.0, 3.0])].groupby(\"cluster\"):\n",
-    "    axes[0].scatter(g[\"frequency\"], g[\"rel_intensity_total\"], s=10, label=name)\n",
-    "\n",
-    "axes[0].set_yscale(\"log\")\n",
-    "axes[0].axvline(thr_freq, linestyle=\"--\")\n",
-    "axes[0].axhline(thr_int, linestyle=\"--\")\n",
-    "axes[0].set_xlabel(\"Activity frequency\")\n",
-    "axes[0].set_ylabel(\"Gross flow / mean AUM\")\n",
-    "axes[0].set_title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "axes[0].set_ylim(0.1,100)\n",
-    "axes[0].legend(markerscale=2)\n",
-    "\n",
-    "# --- Graphique 2 ---\n",
-    "for name, g in dfc[dfc['cluster_kmeans']==2.0].groupby(\"cluster\"):\n",
-    "    axes[1].scatter(\n",
-    "        g[\"frequency\"], g[\"rel_intensity_total\"],\n",
-    "        s=10,\n",
-    "        label=name,\n",
-    "        color=\"red\"  # 👈 ici\n",
-    "    )\n",
-    "\n",
-    "axes[1].set_yscale(\"log\")\n",
-    "axes[1].axvline(thr_freq, linestyle=\"--\")\n",
-    "axes[1].axhline(thr_int, linestyle=\"--\")\n",
-    "axes[1].set_xlabel(\"Activity frequency\")\n",
-    "axes[1].set_title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "axes[1].legend(markerscale=2)\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 129,
-   "id": "64176145-ee5b-4ea8-98ed-c155146dd2f6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "      <th>active_month</th>\n",
-       "      <th>rel_intensity_m</th>\n",
-       "      <th>netflow_to_aum_m</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>179864.637</td>\n",
-       "      <td>-1524.010</td>\n",
-       "      <td>15230.010</td>\n",
-       "      <td>32</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.084675</td>\n",
-       "      <td>-0.008473</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>186761.736</td>\n",
-       "      <td>7247.100</td>\n",
-       "      <td>18571.880</td>\n",
-       "      <td>38</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.099442</td>\n",
-       "      <td>0.038804</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>190357.718</td>\n",
-       "      <td>3655.380</td>\n",
-       "      <td>9754.040</td>\n",
-       "      <td>47</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.051241</td>\n",
-       "      <td>0.019203</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>191429.324</td>\n",
-       "      <td>-218.394</td>\n",
-       "      <td>12840.950</td>\n",
-       "      <td>39</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.067079</td>\n",
-       "      <td>-0.001141</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>189056.475</td>\n",
-       "      <td>-4782.849</td>\n",
-       "      <td>6332.849</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.033497</td>\n",
-       "      <td>-0.025299</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",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33967</th>\n",
-       "      <td>422874</td>\n",
-       "      <td>2025-06-30</td>\n",
-       "      <td>55540.077</td>\n",
-       "      <td>1303.393</td>\n",
-       "      <td>1303.393</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.023468</td>\n",
-       "      <td>0.023468</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33968</th>\n",
-       "      <td>422874</td>\n",
-       "      <td>2025-07-31</td>\n",
-       "      <td>55179.460</td>\n",
-       "      <td>-1013.363</td>\n",
-       "      <td>2066.489</td>\n",
-       "      <td>9</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.037450</td>\n",
-       "      <td>-0.018365</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33969</th>\n",
-       "      <td>422874</td>\n",
-       "      <td>2025-08-31</td>\n",
-       "      <td>56928.472</td>\n",
-       "      <td>1749.012</td>\n",
-       "      <td>2010.564</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.035317</td>\n",
-       "      <td>0.030723</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33970</th>\n",
-       "      <td>422874</td>\n",
-       "      <td>2025-09-30</td>\n",
-       "      <td>57042.358</td>\n",
-       "      <td>113.886</td>\n",
-       "      <td>3895.248</td>\n",
-       "      <td>7</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.068287</td>\n",
-       "      <td>0.001997</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33971</th>\n",
-       "      <td>422874</td>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>56522.708</td>\n",
-       "      <td>-555.680</td>\n",
-       "      <td>1619.142</td>\n",
-       "      <td>6</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.028646</td>\n",
-       "      <td>-0.009831</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>33972 rows × 9 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Registrar Account - ID      month     aum_qty  net_flow_qty  \\\n",
-       "0                      18872 2015-01-31  179864.637     -1524.010   \n",
-       "1                      18872 2015-02-28  186761.736      7247.100   \n",
-       "2                      18872 2015-03-31  190357.718      3655.380   \n",
-       "3                      18872 2015-04-30  191429.324      -218.394   \n",
-       "4                      18872 2015-05-31  189056.475     -4782.849   \n",
-       "...                      ...        ...         ...           ...   \n",
-       "33967                 422874 2025-06-30   55540.077      1303.393   \n",
-       "33968                 422874 2025-07-31   55179.460     -1013.363   \n",
-       "33969                 422874 2025-08-31   56928.472      1749.012   \n",
-       "33970                 422874 2025-09-30   57042.358       113.886   \n",
-       "33971                 422874 2025-10-31   56522.708      -555.680   \n",
-       "\n",
-       "       gross_flow_qty  n_tx  active_month  rel_intensity_m  netflow_to_aum_m  \n",
-       "0           15230.010    32             1         0.084675         -0.008473  \n",
-       "1           18571.880    38             1         0.099442          0.038804  \n",
-       "2            9754.040    47             1         0.051241          0.019203  \n",
-       "3           12840.950    39             1         0.067079         -0.001141  \n",
-       "4            6332.849    24             1         0.033497         -0.025299  \n",
-       "...               ...   ...           ...              ...               ...  \n",
-       "33967        1303.393     5             1         0.023468          0.023468  \n",
-       "33968        2066.489     9             1         0.037450         -0.018365  \n",
-       "33969        2010.564     3             1         0.035317          0.030723  \n",
-       "33970        3895.248     7             1         0.068287          0.001997  \n",
-       "33971        1619.142     6             1         0.028646         -0.009831  \n",
-       "\n",
-       "[33972 rows x 9 columns]"
-      ]
-     },
-     "execution_count": 129,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Analyse temporelle \n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 130,
-   "id": "17787765-a4bb-4e23-80f0-92c91d16f1cc",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "      <th>active_month</th>\n",
-       "      <th>rel_intensity_m</th>\n",
-       "      <th>netflow_to_aum_m</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>179864.637</td>\n",
-       "      <td>-1524.010</td>\n",
-       "      <td>15230.010</td>\n",
-       "      <td>32</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8.467484e-02</td>\n",
-       "      <td>-8.473094e-03</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27192</th>\n",
-       "      <td>365377</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>3640.020</td>\n",
-       "      <td>7687.660</td>\n",
-       "      <td>63</td>\n",
-       "      <td>1</td>\n",
-       "      <td>7.687660e+12</td>\n",
-       "      <td>3.640020e+12</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>650</th>\n",
-       "      <td>200000201</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>17072.819</td>\n",
-       "      <td>-494.780</td>\n",
-       "      <td>800.440</td>\n",
-       "      <td>20</td>\n",
-       "      <td>1</td>\n",
-       "      <td>4.688388e-02</td>\n",
-       "      <td>-2.898057e-02</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25893</th>\n",
-       "      <td>365172</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>67707.000</td>\n",
-       "      <td>11917.000</td>\n",
-       "      <td>11957.000</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1.765992e-01</td>\n",
-       "      <td>1.760084e-01</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33712</th>\n",
-       "      <td>422691</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>60705.316</td>\n",
-       "      <td>3724.160</td>\n",
-       "      <td>6372.040</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1.049668e-01</td>\n",
-       "      <td>6.134817e-02</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",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26152</th>\n",
-       "      <td>365236</td>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>74195.145</td>\n",
-       "      <td>-29100.206</td>\n",
-       "      <td>32046.852</td>\n",
-       "      <td>98</td>\n",
-       "      <td>1</td>\n",
-       "      <td>4.319265e-01</td>\n",
-       "      <td>-3.922117e-01</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13522</th>\n",
-       "      <td>200127403</td>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>17711.000</td>\n",
-       "      <td>197.000</td>\n",
-       "      <td>197.000</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1.112303e-02</td>\n",
-       "      <td>1.112303e-02</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13593</th>\n",
-       "      <td>200127404</td>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>44881.000</td>\n",
-       "      <td>3099.500</td>\n",
-       "      <td>3539.500</td>\n",
-       "      <td>15</td>\n",
-       "      <td>1</td>\n",
-       "      <td>7.886411e-02</td>\n",
-       "      <td>6.906040e-02</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18584</th>\n",
-       "      <td>200128363</td>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>7491447.864</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33971</th>\n",
-       "      <td>422874</td>\n",
-       "      <td>2025-10-31</td>\n",
-       "      <td>56522.708</td>\n",
-       "      <td>-555.680</td>\n",
-       "      <td>1619.142</td>\n",
-       "      <td>6</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.864587e-02</td>\n",
-       "      <td>-9.831093e-03</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>33972 rows × 9 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Registrar Account - ID      month      aum_qty  net_flow_qty  \\\n",
-       "0                      18872 2015-01-31   179864.637     -1524.010   \n",
-       "27192                 365377 2015-01-31        0.000      3640.020   \n",
-       "650                200000201 2015-01-31    17072.819      -494.780   \n",
-       "25893                 365172 2015-01-31    67707.000     11917.000   \n",
-       "33712                 422691 2015-01-31    60705.316      3724.160   \n",
-       "...                      ...        ...          ...           ...   \n",
-       "26152                 365236 2025-10-31    74195.145    -29100.206   \n",
-       "13522              200127403 2025-10-31    17711.000       197.000   \n",
-       "13593              200127404 2025-10-31    44881.000      3099.500   \n",
-       "18584              200128363 2025-10-31  7491447.864         0.000   \n",
-       "33971                 422874 2025-10-31    56522.708      -555.680   \n",
-       "\n",
-       "       gross_flow_qty  n_tx  active_month  rel_intensity_m  netflow_to_aum_m  \n",
-       "0           15230.010    32             1     8.467484e-02     -8.473094e-03  \n",
-       "27192        7687.660    63             1     7.687660e+12      3.640020e+12  \n",
-       "650           800.440    20             1     4.688388e-02     -2.898057e-02  \n",
-       "25893       11957.000     4             1     1.765992e-01      1.760084e-01  \n",
-       "33712        6372.040    24             1     1.049668e-01      6.134817e-02  \n",
-       "...               ...   ...           ...              ...               ...  \n",
-       "26152       32046.852    98             1     4.319265e-01     -3.922117e-01  \n",
-       "13522         197.000     4             1     1.112303e-02      1.112303e-02  \n",
-       "13593        3539.500    15             1     7.886411e-02      6.906040e-02  \n",
-       "18584           0.000     0             0     0.000000e+00      0.000000e+00  \n",
-       "33971        1619.142     6             1     2.864587e-02     -9.831093e-03  \n",
-       "\n",
-       "[33972 rows x 9 columns]"
-      ]
-     },
-     "execution_count": 130,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_month.sort_values(by=\"month\", ascending=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 150,
-   "id": "0ff98dd4-cd21-443a-a603-6dbdee066b87",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Filtered clients: (154, 18)\n",
-      "Filtered clients: (355, 18)\n",
-      "Filtered clients: (421, 18)\n"
-     ]
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "# 1. Définir les fenêtres temporelles (ex: 3 ans glissants)\n",
-    "windows = [\n",
-    "    (\"2016-10-31\", \"2019-10-31\"),\n",
-    "    (\"2019-10-31\", \"2022-10-31\"),\n",
-    "    (\"2022-10-31\", \"2025-10-31\")\n",
-    "]\n",
-    "\n",
-    "stability_results = []\n",
-    "\n",
-    "for start, end in windows:\n",
-    "    # FILTRAGE : On recalcule les variables sur la période (simulation)\n",
-    "    df_period = df_month[(df_month['month'] > start) & (df_month['month'] <= end)].copy()\n",
-    "\n",
-    "    eps = 1e-9  \n",
-    "\n",
-    "    # 1) Active month indicator: did the client trade this month?\n",
-    "    df_period[\"active_month\"] = (df_period[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "\n",
-    "    #client avec beaucoup de mois à 0 → “stable / dormant”\n",
-    "    #client actif presque tous les mois → “rebalancer / institutionnel actif”\n",
-    "\n",
-    "\n",
-    "    # 2) Monthly relative intensity (turnover proxy in quantity terms) : Mesurer l’intensité de trading relativement à la taille et pouvoir ocmparer client petit avec client plus gros\n",
-    "    df_period[\"rel_intensity_m\"] = df_period[\"gross_flow_qty\"] / (df_period[\"aum_qty\"].abs() + eps)\n",
-    "\n",
-    "    # 3) Monthly net flow ratio (directional change): sert a Capturer la direction de la dynamique\n",
-    "    df_period[\"netflow_to_aum_m\"] = df_period[\"net_flow_qty\"] / (df_period[\"aum_qty\"].abs() + eps)\n",
-    "\n",
-    "    # 4) Aggregate to client-level features (1 row per client)\n",
-    "    dft_client_feat = (\n",
-    "        df_period.groupby(ID_COL, as_index=False)\n",
-    "            .agg(\n",
-    "                # Coverage / activity\n",
-    "                n_months=(\"month\", \"nunique\"),\n",
-    "                n_active_months=(\"active_month\", \"sum\"),\n",
-    "                flow_freq=(\"active_month\", \"mean\"),\n",
-    "\n",
-    "                # Size in quantity terms\n",
-    "                aum_qty_mean=(\"aum_qty\", \"mean\"),\n",
-    "                aum_qty_median=(\"aum_qty\", \"median\"),\n",
-    "\n",
-    "                # Flows in quantity terms\n",
-    "                net_flow_qty_sum=(\"net_flow_qty\", \"sum\"),\n",
-    "                gross_flow_qty_sum=(\"gross_flow_qty\", \"sum\"),\n",
-    "                gross_flow_qty_mean=(\"gross_flow_qty\", \"mean\"),\n",
-    "\n",
-    "                # Dispersion / volatility proxy\n",
-    "                net_flow_qty_vol=(\"net_flow_qty\", \"std\"),\n",
-    "                rel_intensity=(\"rel_intensity_m\", \"mean\"),\n",
-    "                netflow_to_aum=(\"netflow_to_aum_m\", \"mean\"),\n",
-    "\n",
-    "                # Trading frequency proxy\n",
-    "                n_tx_total=(\"n_tx\", \"sum\"),\n",
-    "            )\n",
-    ")\n",
-    "\n",
-    "    # 5) Clean NaNs due to std on constant series\n",
-    "    dft_client_feat[\"net_flow_qty_vol\"] = dft_client_feat[\"net_flow_qty_vol\"].fillna(0.0)\n",
-    "\n",
-    "    # 6) Log transforms (useful because distributions are heavy-tailed)\n",
-    "    dft_client_feat[\"log_aum_qty_mean\"] = np.log1p(dft_client_feat[\"aum_qty_mean\"].clip(lower=0))\n",
-    "    dft_client_feat[\"log_gross_flow_qty_mean\"] = np.log1p(dft_client_feat[\"gross_flow_qty_mean\"].clip(lower=0))\n",
-    "\n",
-    "    # 7) Global turnover proxy\n",
-    "    dft_client_feat[\"gross_flow_to_aum\"] = dft_client_feat[\"gross_flow_qty_sum\"] / (dft_client_feat[\"aum_qty_mean\"].abs() + eps)\n",
-    "\n",
-    "    dfct = dft_client_feat.copy()\n",
-    "\n",
-    "    # Minimal filters (adjust if needed)\n",
-    "    dfct = dfct[(dfct[\"n_months\"] >= 6)]                  # at least 6 observed months\n",
-    "    dfct = dfct[(dfct[\"aum_qty_mean\"].abs() > 0)]         # avoid zero holdings\n",
-    "\n",
-    "    dfct[\"rel_intensity_total\"] = dfct[\"gross_flow_to_aum\"]  # turnover proxy\n",
-    "    dfct[\"frequency\"] = dfct[\"flow_freq\"] \n",
-    "    \n",
-    "    if start == \"2016-10-31\":\n",
-    "        df_2016 = dfct.copy()\n",
-    "    if start == \"2019-10-31\":\n",
-    "        df_2019 = dfct.copy()\n",
-    "    if start == \"2022-10-31\":\n",
-    "        df_2022 = dfct.copy()\n",
-    "    print(\"Filtered clients:\", dfct.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 180,
-   "id": "39bcd74a-5828-47d5-9709-a1c1eb4540f7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ids_2016 = set(df_2016['Registrar Account - ID'])\n",
-    "ids_2019 = set(df_2019['Registrar Account - ID'])\n",
-    "ids_2022 = set(df_2022['Registrar Account - ID'])\n",
-    "\n",
-    "common_ids = ids_2016 & ids_2019 & ids_2022\n",
-    "\n",
-    "common_id = ids_2019 & ids_2022\n",
-    "\n",
-    "df_2016_common = df_2016[df_2016['Registrar Account - ID'].isin(common_ids)].copy()\n",
-    "df_2019_common = df_2019[df_2019['Registrar Account - ID'].isin(common_ids)].copy()\n",
-    "df_2022_common = df_2022[df_2022['Registrar Account - ID'].isin(common_ids)].copy()\n",
-    "\n",
-    "df_2019_common2 = df_2019[df_2019['Registrar Account - ID'].isin(common_id)].copy()\n",
-    "df_2022_common2 = df_2022[df_2022['Registrar Account - ID'].isin(common_id)].copy()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 181,
-   "id": "c9526723-3aaf-4a7a-961a-a426e8aa7a9b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Evolution des clusters dans le temps\n",
-    "\n",
-    "X_2016 =(df_2016_common[features]\n",
-    "     .replace([np.inf, -np.inf], np.nan)\n",
-    "     .dropna()\n",
-    "     .copy())\n",
-    "X_2019 = (df_2019_common[features]\n",
-    "     .replace([np.inf, -np.inf], np.nan)\n",
-    "     .dropna()\n",
-    "     .copy())\n",
-    "X_2022 = (df_2022_common[features]\n",
-    "     .replace([np.inf, -np.inf], np.nan)\n",
-    "     .dropna()\n",
-    "     .copy())\n",
-    "\n",
-    "X_2019_2 = (df_2019_common2[features]\n",
-    "     .replace([np.inf, -np.inf], np.nan)\n",
-    "     .dropna()\n",
-    "     .copy())\n",
-    "X_2022_2 = (df_2022_common2[features]\n",
-    "     .replace([np.inf, -np.inf], np.nan)\n",
-    "     .dropna()\n",
-    "     .copy())\n",
-    "\n",
-    "X_2016_scaled = scaler.transform(X_2016)\n",
-    "X_2019_scaled = scaler.transform(X_2019)\n",
-    "X_2022_scaled = scaler.transform(X_2022)\n",
-    "\n",
-    "X_2019_scaled2 = scaler.transform(X_2019_2)\n",
-    "X_2022_scaled2 = scaler.transform(X_2022_2)\n",
-    "\n",
-    "labels_2016 = km.predict(X_2016_scaled)\n",
-    "labels_2019 = km.predict(X_2019_scaled)\n",
-    "labels_2022 = km.predict(X_2022_scaled)\n",
-    "\n",
-    "labels_2019_2 = km.predict(X_2019_scaled2)\n",
-    "labels_2022_2 = km.predict(X_2022_scaled2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 182,
-   "id": "85fde921-cad6-4528-b27f-261522304e33",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df_2016_common[\"cluster_kmeans\"] = labels_2016\n",
-    "df_2019_common[\"cluster_kmeans\"] = labels_2019\n",
-    "df_2022_common[\"cluster_kmeans\"] = labels_2022\n",
-    "\n",
-    "df_2019_common2[\"cluster_kmeans\"] = labels_2019_2\n",
-    "df_2022_common2[\"cluster_kmeans\"] = labels_2022_2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 208,
-   "id": "6a1351c8-5819-493e-80b6-7274bc6d8b03",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Définition de la correspondance entre les codes numériques et les nouveaux labels\n",
-    "mapping = {\n",
-    "    0.0: 1,\n",
-    "    1.0: 2,\n",
-    "    2.0: 3,\n",
-    "    3.0: 4,\n",
-    "    4.0: 5\n",
-    "}\n",
-    "\n",
-    "# Création de la nouvelle colonne 'cluster'\n",
-    "df_2016_common['cluster'] = df_2016_common['cluster_kmeans'].map(mapping)\n",
-    "df_2019_common['cluster'] = df_2019_common['cluster_kmeans'].map(mapping)\n",
-    "df_2022_common['cluster'] = df_2022_common['cluster_kmeans'].map(mapping)\n",
-    "\n",
-    "df_2019_common2['cluster'] = df_2019_common2['cluster_kmeans'].map(mapping)\n",
-    "df_2022_common2['cluster'] = df_2022_common2['cluster_kmeans'].map(mapping)\n",
-    "\n",
-    "clusters_keep = [1, 2, 3]\n",
-    "\n",
-    "df_2016_f = df_2016_common[df_2016_common[\"cluster\"].isin(clusters_keep)]\n",
-    "df_2019_f = df_2019_common[df_2019_common[\"cluster\"].isin(clusters_keep)]\n",
-    "df_2022_f = df_2022_common[df_2022_common[\"cluster\"].isin(clusters_keep)]\n",
-    "\n",
-    "df_2019_f2 = df_2019_common2[df_2019_common2[\"cluster\"].isin(clusters_keep)]\n",
-    "df_2022_f2 = df_2022_common2[df_2022_common2[\"cluster\"].isin(clusters_keep)]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 211,
-   "id": "c50a2b85-6124-4df2-8b92-590bbc4865ba",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Merge\n",
-    "\n",
-    "df_evo = (\n",
-    "    df_2016_f[[ID_COL, \"cluster\"]]\n",
-    "    .rename(columns={\"cluster\": \"cluster_2016\"})\n",
-    "    .merge(\n",
-    "        df_2019_f[[ID_COL, \"cluster\"]]\n",
-    "        .rename(columns={\"cluster\": \"cluster_2019\"}),\n",
-    "        on=ID_COL\n",
-    "    )\n",
-    "    .merge(\n",
-    "        df_2022_f[[ID_COL, \"cluster\"]]\n",
-    "        .rename(columns={\"cluster\": \"cluster_2022\"}),\n",
-    "        on=ID_COL\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_evo2 = (\n",
-    "    df_2019_f2[[ID_COL, \"cluster\"]]\n",
-    "    .rename(columns={\"cluster\": \"cluster_2019\"})\n",
-    "    .merge(\n",
-    "        df_2022_f2[[ID_COL, \"cluster\"]]\n",
-    "        .rename(columns={\"cluster\": \"cluster_2022\"}),\n",
-    "        on=ID_COL\n",
-    "    )\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 212,
-   "id": "9d78a9ee-8b17-457d-8b4c-8f93ad1584b3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "<div>\n",
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-       "\n",
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>cluster_2019</th>\n",
-       "      <th>1</th>\n",
-       "      <th>2</th>\n",
-       "      <th>3</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_2016</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>10.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>38.0</td>\n",
-       "      <td>5.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>82.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "cluster_2019    1     2     3\n",
-       "cluster_2016                 \n",
-       "1             8.0   2.0  10.0\n",
-       "2             1.0  38.0   5.0\n",
-       "3             NaN   5.0  82.0"
-      ]
-     },
-     "execution_count": 212,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_evo.groupby([\"cluster_2016\", \"cluster_2019\"]).size().unstack()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 212,
-   "id": "40cf3d1e-e53c-4a13-acba-c9d6cebfcca0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>cluster_2019</th>\n",
-       "      <th>1</th>\n",
-       "      <th>2</th>\n",
-       "      <th>3</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_2016</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>10.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>38.0</td>\n",
-       "      <td>5.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>82.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "cluster_2019    1     2     3\n",
-       "cluster_2016                 \n",
-       "1             8.0   2.0  10.0\n",
-       "2             1.0  38.0   5.0\n",
-       "3             NaN   5.0  82.0"
-      ]
-     },
-     "execution_count": 212,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_evo.groupby([\"cluster_2016\", \"cluster_2019\"]).size().unstack()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 213,
-   "id": "9aaf2863-dbd2-43d1-861c-98ddd9354881",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
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-       "\n",
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>cluster_2022</th>\n",
-       "      <th>1</th>\n",
-       "      <th>2</th>\n",
-       "      <th>3</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_2019</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>34.0</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>7.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>59.0</td>\n",
-       "      <td>15.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>6.0</td>\n",
-       "      <td>16.0</td>\n",
-       "      <td>206.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "cluster_2022     1     2      3\n",
-       "cluster_2019                   \n",
-       "1             34.0   2.0    7.0\n",
-       "2              NaN  59.0   15.0\n",
-       "3              6.0  16.0  206.0"
-      ]
-     },
-     "execution_count": 213,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_evo2.groupby([\"cluster_2019\", \"cluster_2022\"]).size().unstack()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 218,
-   "id": "82e96b64-0d48-4bbf-b334-0dcb311440d0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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",
-      "text/plain": [
-       "<Figure size 800x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import seaborn as sns\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "# matrice de transition\n",
-    "transition1 = df_evo.groupby([\"cluster_2016\", \"cluster_2019\"]).size().unstack(fill_value=0)\n",
-    "\n",
-    "plt.figure(figsize=(8,6))\n",
-    "sns.heatmap(transition1, annot=True, fmt=\"d\", cmap=\"Blues\")\n",
-    "\n",
-    "plt.ylabel(\"Cluster 2016-2019\")\n",
-    "plt.xlabel(\"Cluster 2019-2022\")\n",
-    "plt.title(\"Matrice de transition des clusters (2016 → 2019)\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 219,
-   "id": "aac4fc2b-8f5c-49d5-aaa6-8c563dfc0ef3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 800x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "transition1 = df_evo.groupby([\"cluster_2016\", \"cluster_2019\"]).size().unstack(fill_value=0)\n",
-    "transition2 = df_evo2.groupby([\"cluster_2019\", \"cluster_2022\"]).size().unstack(fill_value=0)\n",
-    "\n",
-    "transition_pct1 = transition1.div(transition1.sum(axis=1), axis=0)\n",
-    "transition_pct2 = transition2.div(transition2.sum(axis=1), axis=0)\n",
-    "\n",
-    "plt.figure(figsize=(8,6))\n",
-    "sns.heatmap(transition_pct2, annot=True, fmt=\".2f\", cmap=\"Blues\")\n",
-    "\n",
-    "plt.xlabel(\"Cluster 2019-2022\")\n",
-    "plt.ylabel(\"Cluster 2016-2019\")\n",
-    "plt.title(\"Probabilité de transition (2016 → 2019)\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 169,
-   "id": "0f5cc8dd-4f9b-4c66-9e21-951b05b506e0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "link": {
-          "source": [
-           0,
-           0,
-           1,
-           1,
-           2,
-           2,
-           3
-          ],
-          "target": [
-           4,
-           5,
-           5,
-           6,
-           5,
-           6,
-           6
-          ],
-          "value": {
-           "bdata": "CQEgDQZcAQ==",
-           "dtype": "i1"
-          }
-         },
-         "node": {
-          "label": [
-           "2019_0",
-           "2019_1",
-           "2019_2",
-           "2019_4",
-           "2022_0",
-           "2022_1",
-           "2022_2",
-           "2022_4"
-          ]
-         },
-         "type": "sankey"
-        }
-       ],
-       "layout": {
-        "template": {
-         "data": {
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-           {
-            "error_x": {
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-            "error_y": {
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-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
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-            "type": "bar"
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-          "barpolar": [
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-            "type": "barpolar"
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-          "carpet": [
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-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
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-            "baxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "type": "carpet"
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-          "choropleth": [
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-            "colorbar": {
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-            "type": "choropleth"
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-          ],
-          "contour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
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-            "colorscale": [
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-              0,
-              "#0d0887"
-             ],
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-              "#46039f"
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-            "type": "contour"
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-          "contourcarpet": [
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"
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import plotly.graph_objects as go\n",
-    "\n",
-    "# Préparer les flux\n",
-    "flows = df_evo.groupby([\"cluster_2019\", \"cluster_2022\"]).size().reset_index(name=\"count\")\n",
-    "\n",
-    "labels = sorted(set(flows[\"cluster_2019\"]).union(set(flows[\"cluster_2022\"])))\n",
-    "\n",
-    "label_map = {k: i for i, k in enumerate(labels)}\n",
-    "\n",
-    "fig = go.Figure(data=[go.Sankey(\n",
-    "    node=dict(label=[f\"2019_{l}\" for l in labels] + [f\"2022_{l}\" for l in labels]),\n",
-    "    link=dict(\n",
-    "        source=[label_map[s] for s in flows[\"cluster_2019\"]],\n",
-    "        target=[label_map[t] + len(labels) for t in flows[\"cluster_2022\"]],\n",
-    "        value=flows[\"count\"]\n",
-    "    )\n",
-    ")])\n",
-    "\n",
-    "fig.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 221,
-   "id": "4e139972-f4de-4f18-b9b3-601819f06d3f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1400x600 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 2, figsize=(14,6), sharey=True)\n",
-    "\n",
-    "# --- Heatmap 1 : 2016 → 2019 ---\n",
-    "sns.heatmap(\n",
-    "    transition_pct1,\n",
-    "    annot=True,\n",
-    "    fmt=\".2f\",\n",
-    "    cmap=\"Blues\",\n",
-    "    ax=axes[0]\n",
-    ")\n",
-    "\n",
-    "axes[0].set_xlabel(\"Cluster 2019-2022\")\n",
-    "axes[0].set_ylabel(\"Cluster 2016-2019\")\n",
-    "axes[0].set_title(\"Transition des clusters (2016-2019 → 2019-2022)\")\n",
-    "\n",
-    "# --- Heatmap 2 : 2019 → 2022 ---\n",
-    "sns.heatmap(\n",
-    "    transition_pct2,\n",
-    "    annot=True,\n",
-    "    fmt=\".2f\",\n",
-    "    cmap=\"Blues\",\n",
-    "    ax=axes[1]\n",
-    ")\n",
-    "\n",
-    "axes[1].set_xlabel(\"Cluster 2022-2025\")\n",
-    "axes[1].set_ylabel(\"Cluster 2019-2022\")\n",
-    "axes[1].set_title(\"Transition des clusters (2019-2022 → 2022-2025)\")\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 228,
-   "id": "d2701546-abaf-42e2-9070-7ef43824096c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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atYRu3boJhw4dUh1XKBTCnDlzBEdHR8HS0lIICAgQbt++XebQ8+cNST506JAAQBCJRML9+/dLLXPnzh1h9OjRglwuF0xNTQV3d3dhwIABws6dO8utS2lDzwVBEBITE4Vx48YJjo6OgpmZmeDj46P23AThv6Hnn332Wbn3Ke9+CQkJQoMGDQRzc3Ph2LFjpZ4LQAgKCtIohmPHjgkAhB07dqjtv3z5sjB06FDBwcFBkEqlgqenp/Daa6+pPf/Hjx+r6m5tbS0EBAQIN2/e1Pj5Fd+7uB5hYWHCiBEjBA8PD0EqlQrOzs7CgAEDhEuXLpX34yLSKZEgPNPGSERERGRE2GeHiIiIjBqTHSIiIjJqTHaIiIjIqDHZISIiIqPGZIeIiIiMGpMdIiIiMmqcVBBFa8fExcXBxsbmhVZwJiIiosojCAIyMzPh5uZWYgHfpzHZARAXF1di5WAiIiKqHu7fv4/atWuXeZzJDqCaAv7+/fuwtbU1cDRERESkiYyMDNSpU6fcpVyY7ACqV1e2trZMdoiIiKqZ8rqgsIMyERERGTUmO0RERGTUmOwQERGRUWOyQ0REREaNyQ4REREZNSY7REREZNSY7BAREZFRY7JDRERERo3JDhERERk1zqCsJwqlgAvRqUjKzIWzjTnaedlDIuYio0RERJWNyY4eHAiPx8K9kYhPz1Xtc5WZI3igN/o0dzVgZERERDUPX2Pp2IHweEzeHKaW6ABAQnouJm8Ow4HweANFRkREVDMx2dEhhVLAwr2REEo5Vrxv4d5IKJSllSAiIiJ9MGiyo1AoMG/ePHh5ecHCwgL169fH4sWLIQj/JQOCIGD+/PlwdXWFhYUF/P39ERUVpXad1NRUjBw5Era2trCzs8Nbb72FrKysyq4OLkSnlmjReZoAID49FxeiUysvKCIiohrOoMnO8uXLsWbNGnz77be4ceMGli9fjhUrVuCbb75RlVmxYgW+/vprrF27FufPn4eVlRUCAgKQm/tfUjFy5EhERETg0KFD2LdvH06ePIlJkyZVen2SMstOdCpSjoiIiF6cQTsonz17FoMHD0b//v0BAHXr1sXWrVtx4cIFAEWtOqtWrcL//vc/DB48GACwadMmuLi4YM+ePRg+fDhu3LiBAwcO4OLFi2jbti0A4JtvvkG/fv2wcuVKuLm5VVp9nG3MdVqOiIiIXpxBW3Y6duyII0eO4J9//gEAXL16FadPn0bfvn0BANHR0UhISIC/v7/qHJlMhvbt2yMkJAQAEBISAjs7O1WiAwD+/v4Qi8U4f/58JdYGaOdlD1eZOcoaYC5C0aisdl72lRkWERFRjWbQlp0PP/wQGRkZaNKkCSQSCRQKBZYsWYKRI0cCABISEgAALi4uaue5uLiojiUkJMDZ2VntuImJCezt7VVlnpWXl4e8vDzVdkZGhk7qIxGLEDzQG5M3h0EEqHVULk6Aggd6c74dIiKiSmTQlp1ff/0Vv/zyC7Zs2YKwsDBs3LgRK1euxMaNG/V636VLl0Imk6k+derU0dm1+zR3xZo3W0MuU39VVcvKDGvebM15doiIiCqZQZOd2bNn48MPP8Tw4cPh4+ODUaNG4f3338fSpUsBAHK5HACQmJiodl5iYqLqmFwuR1JSktrxwsJCpKamqso8a+7cuUhPT1d97t+/r9N69WnuitNzemDrxA5o42kHABjt58lEh4iIyAAMmuzk5ORALFYPQSKRQKlUAgC8vLwgl8tx5MgR1fGMjAycP38efn5+AAA/Pz+kpaUhNDRUVebo0aNQKpVo3759qfeVSqWwtbVV++iaRCyCX30HDGxR1EH66v00nd+DiIiIymfQPjsDBw7EkiVL4OHhgWbNmuHy5cv44osvMH78eACASCTC9OnT8cknn6Bhw4bw8vLCvHnz4ObmhiFDhgAAmjZtij59+mDixIlYu3YtCgoKMHXqVAwfPrxSR2KVxdejFgDg8v00CIIAkYj9dYiIiCqTQZOdb775BvPmzcOUKVOQlJQENzc3vP3225g/f76qzAcffIDs7GxMmjQJaWlp6Ny5Mw4cOABz8//6xPzyyy+YOnUqevbsCbFYjMDAQHz99deGqFIJTV1tYWYiRlpOAaKTs1HPydrQIREREdUoIuHp6YprqIyMDMhkMqSnp+vllVbgmrMIjXmMz4e1RGCb2jq/PhERUU2k6fc318aqBK097AAAl+8/NmwgRERENRCTnUqg6rcTm2bYQIiIiGogJjuVwPfflp2bCZnIyS80bDBEREQ1DJOdSuAqs4Dc1hwKpYBrD9INHQ4REVGNwmSnkrT+d3JBvsoiIiKqXEx2KolvneJ+O+ykTEREVJmY7FQSX9WIrKLJBYmIiKhyMNmpJM3dZTARi/AoMw8PHj8xdDhEREQ1BpOdSmJuKoG3W9GER5e5ThYREVGlYbJTiVp7sN8OERFRZWOyU4lU/XY4IouIiKjSMNmpRMUjsiLjMpBXqDBwNERERDUDk51KVMfeAg5WZshXKBH+MMPQ4RAREdUITHYqkUgkeupVFvvtEBERVQYmO5VMtSgoR2QRERFVCiY7lay4ZecKOykTERFVCiY7laxFbTuIRcDDtCdIzMg1dDhERERGj8lOJbOWmqCRiw0A9tshIiKqDEx2DKC1Z/HkgmmGDYSIiKgGYLJjAL517AAw2SEiIqoMTHYMoHhE1rWHaShQKA0cDRERkXFjsmMA9RytYGtugtwCJW7GZxo6HCIiIqPGZMcAxGIRWqnm22EnZSIiIn1ismMgrbkoKBERUaVgsmMgqpmUOfyciIhIr5jsGEir2nYAgHspOUjJyjNsMEREREaMyY6ByCxNUd/JCgBwhetkERER6Q2THQP671VWmmEDISIiMmJMdgyoNUdkERER6R2THQMqXgH96v10KJSCYYMhIiIyUkx2DKiRiw0szSTIyitEVBInFyQiItIHJjsGJBGL0PLfUVnst0NERKQfTHYMrLWnHQDOt0NERKQvTHYMzLcOR2QRERHpE5MdA2v1byflqKQspD8pMGwwRERERojJjoE5WkvhYW8JALjKyQWJiIh0zqDJTt26dSESiUp8goKCAAC5ubkICgqCg4MDrK2tERgYiMTERLVrxMbGon///rC0tISzszNmz56NwsJCQ1Snwny5KCgREZHeGDTZuXjxIuLj41WfQ4cOAQCGDRsGAHj//fexd+9e7NixAydOnEBcXByGDh2qOl+hUKB///7Iz8/H2bNnsXHjRmzYsAHz5883SH0qipMLEhER6Y9IEIQqM5vd9OnTsW/fPkRFRSEjIwNOTk7YsmULXn31VQDAzZs30bRpU4SEhKBDhw7Yv38/BgwYgLi4OLi4uAAA1q5dizlz5uDRo0cwMzPT6L4ZGRmQyWRIT0+Hra2t3upXlmsP0jDo2zOQWZjiyvxeEIlElR4DERFRdaPp93eV6bOTn5+PzZs3Y/z48RCJRAgNDUVBQQH8/f1VZZo0aQIPDw+EhIQAAEJCQuDj46NKdAAgICAAGRkZiIiIqPQ6VFQTuS2kJmKkPynA3eRsQ4dDRERkVKpMsrNnzx6kpaVh7NixAICEhASYmZnBzs5OrZyLiwsSEhJUZZ5OdIqPFx8rS15eHjIyMtQ+hmRmIoaPuwwA++0QERHpWpVJdn788Uf07dsXbm5uer/X0qVLIZPJVJ86dero/Z7lae1ZPN8O++0QERHpUpVIdmJiYnD48GFMmDBBtU8ulyM/Px9paWlqZRMTEyGXy1Vlnh2dVbxdXKY0c+fORXp6uupz//59HdWk4nzr2AFgyw4REZGuVYlkZ/369XB2dkb//v1V+9q0aQNTU1McOXJEte/WrVuIjY2Fn58fAMDPzw/Xr19HUlKSqsyhQ4dga2sLb2/vMu8nlUpha2ur9jE0339HZN1MyEBOfvUaOk9ERFSVGTzZUSqVWL9+PcaMGQMTExPVfplMhrfeegszZszAsWPHEBoainHjxsHPzw8dOnQAAPTu3Rve3t4YNWoUrl69ioMHD+J///sfgoKCIJVKDVWlCpHLzOEqM4dSAK7eTzd0OEREREbD4MnO4cOHERsbi/Hjx5c49uWXX2LAgAEIDAxE165dIZfLsWvXLtVxiUSCffv2QSKRwM/PD2+++SZGjx6NRYsWVWYVdEY1uSDn2yEiItKZKjXPjqEYep6dYv936i4++fMGenm74IfRbQ0WBxERUXVQ7ebZIfVlI5iDEhER6QaTnSqkmZsMphIRkrPy8ODxE0OHQ0REZBSY7FQh5qYSeLsWNcOFcb4dIiIinWCyU8UUD0HnfDtERES6wWSnivlvRFaaQeMgIiIyFkx2qpjW/7bsRMalI7dAYeBoiIiIqj8mO1VM7VoWcLQ2Q4FCQEQcJxckIiJ6UUx2qhiRSIRWddhvh4iISFeY7FRBrT3tADDZISIi0gUmO1WQr6plh8PPiYiIXhSTnSqoRW0ZxCIgLj0XCem5hg6HiIioWmOyUwVZSU3QWF40uSBbd4iIiF4Mk50qivPtEBER6QaTnSqqtQf77RAREekCk50qqrhl59qDdBQolIYNhoiIqBpjslNFeTlYQWZhirxCJW7EZxg6HCIiomqLyU4VJRaL0KqOHQDOt0NERPQimOxUYey3Q0RE9OKY7FRhHJFFRET04pjsVGEt/32NFZOSg5SsPMMGQ0REVE0x2anCZBamaOBsDYD9doiIiCrKRJvCaWlp2L17N06dOoWYmBjk5OTAyckJvr6+CAgIQMeOHfUVZ43lW8cOt5OycPn+Y/h7uxg6HCIiompHo5aduLg4TJgwAa6urvjkk0/w5MkTtGrVCj179kTt2rVx7Ngx9OrVC97e3ti+fbu+Y65RWnsWd1JOM2wgRERE1ZRGLTu+vr4YM2YMQkND4e3tXWqZJ0+eYM+ePVi1ahXu37+PWbNm6TTQmqq4k/LV+2lQKAVIxCLDBkRERFTNaJTsREZGwsHB4bllLCwsMGLECIwYMQIpKSk6CY6Ahs42sDKTIDtfgaikTDT5d4FQIiIi0oxGr7HKS3RetDyVTSIWqUZlhcWkGTQWIiKi6kjj0VhTpkxBVlaWanvr1q3Izs5WbaelpaFfv366jY4APDXfDicXJCIi0prGyc66deuQk5Oj2n777beRmJio2s7Ly8PBgwd1Gx0BeGomZU4uSEREpDWNkx1BEJ67TfpTvEbW7aQspD8pMGwwRERE1QwnFawGHKyl8HSwBABcYesOERGRVpjsVBO+qhXQ2W+HiIhIG1rNoDx//nxYWha1MOTn52PJkiWQyWQAoNafh3SvtWct7LkSx8kFiYiItKRxstO1a1fcunVLtd2xY0fcvXu3RBnSD986RZ2Ur9xPg1IpQMzJBYmIiDSicbJz/PhxPYZB5WniagOpiRjpTwoQnZKN+k7Whg6JiIioWnjhPjuFhYVq8++QfphKxGhRu+iVYVgM++0QERFpSuNkZ+/evdiwYYPaviVLlsDa2hp2dnbo3bs3Hj/ml7A++XK+HSIiIq1pnOx88cUXajMmnz17FvPnz8e8efPw66+/4v79+1i8eLHWATx8+BBvvvkmHBwcYGFhAR8fH1y6dEl1XBAEzJ8/H66urrCwsIC/vz+ioqLUrpGamoqRI0fC1tYWdnZ2eOutt4yytam1aiblNIPGQUREVJ1onOxERESgY8eOqu2dO3eiV69e+PjjjzF06FB8/vnn2Lt3r1Y3f/z4MTp16gRTU1Ps378fkZGR+Pzzz1GrVi1VmRUrVuDrr7/G2rVrcf78eVhZWSEgIAC5ubmqMiNHjkRERAQOHTqEffv24eTJk5g0aZJWsVQHxS07txIykJ1XaOBoiIiIqgeNOyhnZmaqLfB5+vRpDBs2TLXdrFkzxMXFaXXz5cuXo06dOli/fr1qn5eXl+r/BUHAqlWr8L///Q+DBw8GAGzatAkuLi7Ys2cPhg8fjhs3buDAgQO4ePEi2rZtCwD45ptv0K9fP6xcuRJubm5axVSVudiaw01mjrj0XFx7kA6/+lxwlYiIqDwat+y4u7vjxo0bAICsrCxcvXpVraUnJSVFNQePpv744w+0bdsWw4YNg7OzM3x9ffHDDz+ojkdHRyMhIQH+/v6qfTKZDO3bt0dISAgAICQkBHZ2dqpEBwD8/f0hFotx/vx5reKpDopbd8I4uSAREZFGNE52hg0bhunTp+Pnn3/GxIkTIZfL0aFDB9XxS5cuoXHjxlrd/O7du1izZg0aNmyIgwcPYvLkyXj33XexceNGAEBCQgIAwMXFRe08FxcX1bGEhAQ4OzurHTcxMYG9vb2qzLPy8vKQkZGh9qkufNlvh4iISCsav8aaP38+Hj58iHfffRdyuRybN2+GRCJRHd+6dSsGDhyo1c2VSiXatm2LTz/9FADg6+uL8PBwrF27FmPGjNHqWtpYunQpFi5cqLfr61Nxy86V+48hCAJEIk4uSERE9DwaJzsWFhbYtGlTmcePHTum9c1dXV3h7e2ttq9p06b47bffAAByuRwAkJiYCFdXV1WZxMREtGrVSlUmKSlJ7RqFhYVITU1Vnf+suXPnYsaMGartjIwM1KlTR+v4DaGZmy1MJSIkZ+XjweMnqGOv3atDIiKimuaFJxU8ceIE/vrrrwrNsdOpUye1JSgA4J9//oGnpyeAos7KcrkcR44cUR3PyMjA+fPn4efnBwDw8/NDWloaQkNDVWWOHj0KpVKJ9u3bl3pfqVQKW1tbtU91YW4qgbfbv5MLst8OERFRuTROdpYvX4558+aptgVBQJ8+ffDyyy9jwIABaNq0KSIiIrS6+fvvv49z587h008/xe3bt7FlyxZ8//33CAoKAgCIRCJMnz4dn3zyCf744w9cv34do0ePhpubG4YMGQKgqCWoT58+mDhxIi5cuIAzZ85g6tSpGD58uFGNxHrafyugpxk0DiIioupA42Rn+/btaN68uWp7586dOHnyJE6dOoXk5GS0bdtW634wL730Enbv3o2tW7eiefPmWLx4MVatWoWRI0eqynzwwQeYNm0aJk2ahJdeeglZWVk4cOAAzM3NVWV++eUXNGnSBD179kS/fv3QuXNnfP/991rFUp209vx3JmW27BAREZVLJAiCoEnBWrVq4ezZs2jatCkAYNy4cVAoFKp+POfOncOwYcNw//59/UWrJxkZGZDJZEhPT68Wr7Tup+agy4pjMBGLEL4wAOamkvJPIiIiMjKafn9r3LJTWFgIqVSq2g4JCVGbZ8fNzQ3JyckVDJe0UbuWBRytpShUCoiISzd0OERERFWaxslO/fr1cfLkSQBAbGws/vnnH3Tt2lV1/MGDB2ozLJP+iEQi1Xw7YTFpBo2FiIioqtN46HlQUBCmTp2KU6dO4dy5c/Dz81MbNn706FH4+vrqJUgqydfDDociE3H5PvvtEBERPY/Gyc7EiRMhkUiwd+9edO3aFcHBwWrH4+LiMH78eJ0HSKVr7VHcSTnNsIEQERFVcRp3UDZm1a2DMgDk5BeiefBBKAUgZG4PuMosDB0SERFRpdJ5B2WqWizNTNDYxQYA8MPJuwi5kwKFssbnrURERCVo/BqLqpYD4fGISc0BAPx05h5+OnMPrjJzBA/0Rp/mruWcTUREVHOwZacaOhAej8mbw5CTr1Dbn5Cei8mbw3AgPN5AkREREVU9THaqGYVSwMK9kSjthVXxvoV7I/lKi4iI6F9aJTsFBQUwMTFBeHi4vuKhclyITkV8em6ZxwUA8em5uBCdWnlBERERVWFaJTumpqbw8PCAQqEovzDpRVJm2YlORcoREREZO61fY3388cf46KOPkJrKlgNDcLYxL7+QFuWIiIiMndajsb799lvcvn0bbm5u8PT0hJWVldrxsLAwnQVHJbXzsoerzBwJ6bml9tsRAZDLzNHOy76yQyMiIqqStE52hgwZoocwSFMSsQjBA70xeXMYRECJhEcAEDzQGxKxyADRERERVT2cQRnVcwblA+HxWLg3skRnZRdbKc7M6QETCQfaERGRcdP0+7tCkwqmpaVh586duHPnDmbPng17e3uEhYXBxcUF7u7uFQ6aNNenuSt6ectxIToVSZm5sJGaYOaOq0jMyMOO0AcY0c7D0CESERFVCVonO9euXYO/vz9kMhnu3buHiRMnwt7eHrt27UJsbCw2bdqkjzipFBKxCH71HVTb7/ZsiIV7I/HloX8wpJU7LMwkBoyOiIioatD6XceMGTMwduxYREVFwdz8vxE//fr1w8mTJ3UaHGnnjfYeqGNvgaTMPPx0JtrQ4RAREVUJWic7Fy9exNtvv11iv7u7OxISEnQSFFWM1ESCWb0bAwDWHr+Dx9n5Bo6IiIjI8LROdqRSKTIyMkrs/+eff+Dk5KSToKjiBrZwg7erLTLzCrH62G1Dh0NERGRwWic7gwYNwqJFi1BQUAAAEIlEiI2NxZw5cxAYGKjzAEk7YrEIH/ZtAgDYFBKDB49zDBwRERGRYWmd7Hz++efIysqCs7Mznjx5gm7duqFBgwawsbHBkiVL9BEjaalLQ0d0auCAfIUSXxz6x9DhEBERGVSF59k5c+YMrl69iqysLLRu3Rr+/v66jq3SVMd5dspz7UEaBn17BiIR8Ne7XdDU1TjqRUREVEzT72+tW3Y2bdqEvLw8dOrUCVOmTMEHH3wAf39/5Ofnc9h5FdKith36t3CFIAArDtw0dDhEREQGo3WyM27cOKSnp5fYn5mZiXHjxukkKNKNWb0bw0QswrFbjxByJ8XQ4RARERmE1smOIAgQiUquu/TgwQPIZDKdBEW64eVopZpJedmBm+DKIEREVBNpPIOyr68vRCIRRCIRevbsCROT/05VKBSIjo5Gnz599BIkVdy0ng3wW9gDXL2fhgPhCejr42rokIiIiCqVxslO8WrnV65cQUBAAKytrVXHzMzMULduXQ49r4KcbcwxoUs9fH0kCp8dvAV/bxeYcpFQIiKqQTROdoKDgwEAdevWxfDhwyGVSvUWFOnWxC5e+OVcDO4mZ+PXS/cxsr2noUMiIiKqNFr/E79Hjx549OiRavvChQuYPn06vv/+e50GRrpjY26KaT0aAABWHY5CTn6hgSMiIiKqPFonO2+88QaOHTsGAEhISIC/vz8uXLiAjz/+GIsWLdJ5gKQbb7T3RB17CzzKzMNPp7lIKBER1RxaJzvh4eFo164dAODXX3+Fj48Pzp49i19++QUbNmzQdXykI2Ym4v8WCT1xF6lcJJSIiGoIrZOdgoICVX+dw4cPY9CgQQCAJk2aID4+XrfRkU4NbOGGZm62yMorxLdHuUgoERHVDFonO82aNcPatWtx6tQpHDp0SDXcPC4uDg4ODjoPkHTn6UVCfz53D/dTuUgoEREZP62TneXLl2PdunXo3r07RowYgZYtWwIA/vjjD9XrLaq6ujR0QucGjihQCFwklIiIaoQKLQSqUCiQkZGBWrVqqfbdu3cPlpaWcHZ21mmAlcEYFwJ9nusP0jHw29MQiYB90zqjmRtnviYioupHbwuBAoBEIlFLdICi+Xe0TXQWLFigmpW5+NOkSRPV8dzcXAQFBcHBwQHW1tYIDAxEYmKi2jViY2PRv39/VaI1e/ZsFBZyaPXz+NSWYWBLt38XCb1l6HCIiIj0SuNJBYt5eXmVujZWsbt372p1vWbNmuHw4cP/BfTUMhTvv/8+/vzzT+zYsQMymQxTp07F0KFDcebMGQBFLUz9+/eHXC7H2bNnER8fj9GjR8PU1BSffvqpljWrWWb1boT91+Nx4p9HOHsnGR3rOxo6JCIiIr3QOtmZPn262nZBQQEuX76MAwcOYPbs2doHYGICuVxeYn96ejp+/PFHbNmyBT169AAArF+/Hk2bNsW5c+fQoUMH/P3334iMjMThw4fh4uKCVq1aYfHixZgzZw4WLFgAMzMzreOpKTwdrDCyvQc2hsRg+f6b2BPU6blJLBERUXWldbLz3nvvlbp/9erVuHTpktYBREVFwc3NDebm5vDz88PSpUvh4eGB0NBQFBQUwN/fX1W2SZMm8PDwQEhICDp06ICQkBD4+PjAxcVFVSYgIACTJ09GREQEfH19tY6nJpnWsyF2hj7A1Qfp2B+egH5cJJSIiIyQzlaE7Nu3L3777Tetzmnfvj02bNiAAwcOYM2aNYiOjkaXLl2QmZmJhIQEmJmZwc7OTu0cFxcXJCQkACiawfnpRKf4ePGxsuTl5SEjI0PtUxM5WksxsWs9AMBnB2+hQKE0cERERES6p7NkZ+fOnbC3t9fqnL59+2LYsGFo0aIFAgIC8NdffyEtLQ2//vqrrsIq1dKlSyGTyVSfOnXq6PV+VdmELvXgaG2G6ORsbL9439DhEBER6ZzWr7F8fX3V+nYIgoCEhAQ8evQI33333QsFY2dnh0aNGuH27dvo1asX8vPzkZaWpta6k5iYqOrjI5fLceHCBbVrFI/WKq0fULG5c+dixowZqu2MjIwam/BYS00wrUdDBP8RgVWHo/CKrzuspFr/sSAiIqqytP5WGzJkiNq2WCyGk5MTunfvrjZsvCKysrJw584djBo1Cm3atIGpqSmOHDmCwMBAAMCtW7cQGxsLPz8/AICfnx+WLFmCpKQk1bD3Q4cOwdbWFt7e3mXeRyqVqpa8IGBEOw/8eDoasak5+Ol0NKb1bGjokIiIiHSmQpMK6sqsWbMwcOBAeHp6Ii4uDsHBwbhy5QoiIyPh5OSEyZMn46+//sKGDRtga2uLadOmAQDOnj0LoGjoeatWreDm5oYVK1YgISEBo0aNwoQJE7Qael7TJhUszR9X4/Du1suwlprgxOzucLBmMkhERFWbpt/fGrXsaNOBV5tk4cGDBxgxYgRSUlLg5OSEzp0749y5c3BycgIAfPnllxCLxQgMDEReXh4CAgLUXpVJJBLs27cPkydPhp+fH6ysrDBmzBgsWrRI4xioyAAfV3x/8g7CH2bg22O3ETywmaFDIiIi0gmNWnbEYnG5c7AIggCRSASFQqGz4CoLW3aKnI5Kxps/noepRISjM7ujjr2loUMiIiIqk05bdo4dO6azwKjq6tzQEV0aOuJUVDI+//sWVg3nPEVERFT9aZTsdOvWTd9xUBUxp08TnIo6jT1X4jChSz00d+cioUREVL1pPc/O+vXrsWPHjhL7d+zYgY0bN+okKDKc5u4yDGrpBgBYcZCLhBIRUfWndbKzdOlSODqWXDTS2dmZi28aiVm9G8NUIsLJfx7hzO1kQ4dDRET0QrROdmJjY+Hl5VViv6enJ2JjY3USFBmWh4MlRrb3BAAs/esGzt5Oxu9XHiLkTgoUSoPNVEBERFQhWk8q6OzsjGvXrqFu3bpq+69evQoHBwddxUUGNrVHA2y9EIvwuAy88X/nVftdZeYIHuiNPs25aCgREVUPWrfsjBgxAu+++y6OHTsGhUIBhUKBo0eP4r333sPw4cP1ESMZwKV7qcgrLLkwaEJ6LiZvDsOB8HgDREVERKQ9rVt2Fi9ejHv37qFnz54wMSk6XalUYvTo0eyzYyQUSgEL90aWekwAIAKwcG8kennLIRE/f/4lIiIiQ9M62TEzM8P27dvxySef4MqVK7CwsICPjw88PT31ER8ZwIXoVMSn55Z5XAAQn56LC9Gp8KvPV5dERFS1VXh564YNGyIpKQlt27bloppGJimz7ESnIuWIiIgMSes+O0/r27cvHj58qKtYqIpwtjHXaTkiIiJDeqFkx4ALppMetfOyh6vMHGX1xhGhaFRWOy/7ygyLiIioQl4o2SHjJBGLEDzQGwBKTXgEAMEDvdk5mYiIqoUXSnbWrVsHFxcXXcVCVUif5q5Y82ZryGWlv6qykla4uxcREVGlEgl8F6XxEvE1kUIp4EJ0KpIyc+FsY46/rsfh53OxcJWZ4+D7XWFrbmroEImIqIbS9Ptb63+eZ2dnY9myZThy5AiSkpKgVKpPPHf37l3to6UqSyIWqQ0vb1lHhpNRyYhJycHivZH4bFhLA0ZHRERUPq2TnQkTJuDEiRMYNWoUXF1dIRKx30ZNYmlmgpXDWuK1dSHYEfoAfX3k6NGErzKJiKjq0vo1lp2dHf7880906tRJXzFVOr7G0t4n+yLxf6ej4Wwjxd/vd4WdpZmhQyIiohpG0+9vrTso16pVC/b2HHJc080KaIx6TlZIyszDgj8iDB0OERFRmbROdhYvXoz58+cjJydHH/FQNWFuKsHnw1pCLAL2XInDgfAEQ4dERERUKq1fY/n6+uLOnTsQBAF169aFqan6aJywsDCdBlgZ+Bqr4pYfuIk1x+/A0doMf7/fDfZWfJ1FRESVQ2+jsYYMGfIicZGRme7fEEduJOKfxCzM2xOO1SNbGzokIiIiNZxnB2zZeVHXH6RjyHdnoFAK+PYNXwxo4WbokIiIqAbQWwdlomf51JYh6OUGAIB5e8LxKDPPwBERERH9R6Nkx97eHsnJyQD+G41V1odqpqkvN4C3qy0e5xTgo93XuUgsERFVGRr12fnyyy9hY2MDAFi1apU+46FqysxEjM9fa4lB357GochE7L78EENb1zZ0WEREROyzA7DPji59ezQKK//+B7bmJvj7/W5lLiRKRET0ovQ2GgsAlEolbt++XeraWF27dq3IJclIvNOtPv6OTMS1B+n4cNc1rB/7EpcUISIig9I62Tl37hzeeOMNxMTElOiXIRKJoFAodBYcVT8mEjE+H9YS/b85jeO3HuHXS/fx+ksehg6LiIhqMK1HY73zzjto27YtwsPDkZqaisePH6s+qamp+oiRqpmGLjaY2asRAGDxvht4mPbEwBEREVFNpnWfHSsrK1y9ehUNGjTQV0yVjn12dE+hFDBs7VmExaahcwNH/PxWO77OIiIindLbPDvt27fH7du3Xyg4Mn4SsQgrh7WEuakYp28nY/P5WEOHRERENZRGfXauXbum+v9p06Zh5syZSEhIgI+PT4m1sVq0aKHbCKnaqudkjQ8CmmDRvkgs/esGujV0goeDpaHDIiKiGkaj11hisRgikajMieKKj1XXDsp8jaU/SqWA4T+cw4XoVLT3ssfWiR0gFvN1FhERvTidDj2Pjo7WWWBUs4jFIqx8tSX6fHUS56NTseHsPYzv7GXosIiIqAbRqM+Op6en6hMTEwN3d3e1fZ6ennB3d0dMTIy+46VqyMPBEnP7NQUArDh4E3cfZRk4IiIiqkm07qD88ssvlzrEPD09HS+//HKFA1m2bBlEIhGmT5+u2pebm4ugoCA4ODjA2toagYGBSExMVDsvNjYW/fv3h6WlJZydnTF79mwUFhZWOA7Sjzfbe6BzA0fkFigxa8dVKJQ1fuJuIiKqJFonO8V9c56VkpICKyurCgVx8eJFrFu3rkTn5vfffx979+7Fjh07cOLECcTFxWHo0KGq4wqFAv3790d+fj7Onj2LjRs3YsOGDZg/f36F4iD9EYlEWP5qC1hLTRAWm4b/O3XX0CEREVENofE8O8VJxu+//44+ffpAKpWqjikUCly7dg2NGzfGgQMHtAogKysLrVu3xnfffYdPPvkErVq1wqpVq5Ceng4nJyds2bIFr776KgDg5s2baNq0KUJCQtChQwfs378fAwYMQFxcHFxcXAAAa9euxZw5c/Do0SOYmZlpFAM7KFee7RdjMee36zAzEePPaZ3R0MXG0CEREVE1pfN5dmQyGWQyGQRBgI2NjWpbJpNBLpdj0qRJ2Lx5s9aBBgUFoX///vD391fbHxoaioKCArX9TZo0gYeHB0JCQgAAISEh8PHxUSU6ABAQEICMjAxERERoHQvp32tt66B7YyfkFyoxc8dVFCqU5Z9ERET0AjReG2v9+vUAgLp162LWrFkVfmX1tG3btiEsLAwXL14scSwhIQFmZmaws7NT2+/i4oKEhARVmacTneLjxcfKkpeXh7y8PNV2RkZGRatAWhKJRFg2tAV6f3kC1x6kY+2JO5jao6GhwyIiIiOmdZ+d4OBgnSQ69+/fx3vvvYdffvkF5ubmL3w9bSxdulStZapOnTqVev+aTi4zx4JBzQAAXx2JQmQck00iItIfjVp2WrdujSNHjqBWrVrw9fV97hpHYWFhGt04NDQUSUlJaN26tWqfQqHAyZMn8e233+LgwYPIz89HWlqaWutOYmIi5HI5AEAul+PChQtq1y0erVVcpjRz587FjBkzVNsZGRlMeCrZK77u2B+egEORiZj56xV81K8pUnPy4WxjjnZe9pBw4kEiItIRjZKdwYMHqzokDx48WCcLOvbs2RPXr19X2zdu3Dg0adIEc+bMQZ06dWBqaoojR44gMDAQAHDr1i3ExsbCz88PAODn54clS5YgKSkJzs7OAIBDhw7B1tYW3t7eZd5bKpWqdbCmyicSibDkleY4czsZNxIyMeqn/5JWV5k5ggd6o09zVwNGSERExkLrVc/1qXv37qrRWAAwefJk/PXXX9iwYQNsbW0xbdo0AMDZs2cBFLUEtWrVCm5ublixYgUSEhIwatQoTJgwAZ9++qnG9+VoLMM4EB6PdzaXbAksTqXXvNmaCQ8REZVJb6uez58/H8eOHUNubu4LBaiJL7/8EgMGDEBgYCC6du0KuVyOXbt2qY5LJBLs27cPEokEfn5+ePPNNzF69GgsWrRI77HRi1EoBSzcG1nqseLse+HeSE4+SEREL0zrlp1evXohJCQEhYWFeOmll9CtWzd0794dnTp1goWFhb7i1Cu27FS+kDspGPHDuXLLbZ3YAX71HSohIiIiqm701rJz6NAhpKWl4ciRI+jXrx8uXbqEoUOHws7ODp07d36hoKnmSMrUrGVQ03JERERl0XieHbWTTEzQqVMnODk5wd7eHjY2NtizZw9u3ryp6/jISDnbaDbdgKbliIiIyqJ1y87333+PN954A+7u7ujYsSMOHDiAzp0749KlS3j06JE+YiQj1M7LHq4yczxvXJ+NuQnaedlXWkxERGSctO6zIxaL4eTkhJkzZ2LKlCmwtrbWV2yVhn12DONAeDwm/zsaq6w/hEuH+mBEO4/KC4qIiKoNvfXZ2bVrF0aOHIlt27bByckJHTt2xEcffYS///4bOTk5LxQ01Sx9mrtizZutIZepv6pylZkjoFnRsh8f7b6OfdfiDBEeEREZiReaZyc9PR2nTp3Cjh07sHXrVojF4koZkq5rbNkxLIVSwIXoVCRl5qpmUBaLgI/3hGPL+ViYSkT4YXRbdG/sbOhQiYioCtH0+7tCHZRTUlJw4sQJHD9+HMePH0dERARq1aqFLl26VDhgqrkkYlGpw8sXD26OjCcF2HctHu9sDsXmt9qjbV324SEiIu1o/RrLx8cHLi4uePvtt/Hw4UNMnDgRly9fRnJyMnbv3q2PGKmGkohF+OK1Vuje2Am5BUqM23CRi4YSEZHWtH6NtXr1anTr1g3NmzfXV0yVjq+xqrYn+QqM/uk8Lt57DEdrM+x4pyO8HK0MHRYRERmYpt/fVWptLENhslP1pT8pwIjvzyEyPgPudhbYOdkPrrLqOWM3ERHphk5HYy1btgxPnjzR6Mbnz5/Hn3/+qVmURBqSWZhi01vtUM/RCg/TnmDUjxeQmp1v6LCIiKga0CjZiYyMhIeHB6ZMmYL9+/erTR5YWFiIa9eu4bvvvkPHjh3x+uuvw8bGRm8BU83laC3FzxPaw1VmjttJWRi7/gIycwsMHRYREVVxGiU7mzZtwuHDh1FQUIA33ngDcrkcZmZmsLGxgVQqha+vL3766SeMHj0aN2/eRNeuXfUdN9VQ7nYW+Pmt9rC3MsO1B+mYuOkScgsUhg6LiIiqMK377CiVSly7dg0xMTF48uQJHB0d0apVKzg6OuorRr1jn53q5/qDdIz44Ryy8grh39QZa95sA1OJ1oMLiYioGmMHZS0w2amezt1NwZifLiCvUIlXfN3x+bCWEIuft9oWEREZE70tF0FUVXSo54DvRraGiViE3ZcfYtG+SDB3JyKiZzHZoWqtZ1MXfP5aS4hEwIaz9/Dl4ShDh0RERFUMkx2q9ga3cseiQc0AAF8ficKPp6MNHBEREVUlTHbIKIzyq4tZvRsBABbvi8SOS/cNHBEREVUVTHbIaAS93AATOnsBAOb8dg0HIxIMHBEREVUFFVr1/NKlS/j1118RGxuL/Hz1WWx37dqlk8CItCUSifBx/6bIyC3Ar5ceYNqWy1g/7iV0alB9p0UgIqIXp3XLzrZt29CxY0fcuHEDu3fvRkFBASIiInD06FHIZDJ9xEikMZFIhE9f8UGfZnLkK5SYuOkSLsc+NnRYRERkQFonO59++im+/PJL7N27F2ZmZvjqq69w8+ZNvPbaa/Dw8NBHjERaMZGI8dWIVujcwBE5+QqM23ARkXEZCLmTgt+vPETInRQolByiTkRUU2g9qaCVlRUiIiJQt25dODg44Pjx4/Dx8cGNGzfQo0cPxMfH6ytWveGkgsYpO68Qb/54Hpdj0yAWAU/nN64ycwQP9Eaf5q6GC5CIiF6I3iYVrFWrFjIzMwEA7u7uCA8PBwCkpaUhJyenguES6Z6V1ARvti9qbXy2ISchPReTN4fhQHj1S86JiEg7Wic7Xbt2xaFDhwAAw4YNw3vvvYeJEydixIgR6Nmzp84DJKoohVLAyr//KfVYce6zcG8kX2kRERk5rUdjffvtt8jNzQUAfPzxxzA1NcXZs2cRGBiI//3vfzoPkKiiLkSnIj49t8zjAoD49FxciE6FX32HyguMiIgqldbJjr29ver/xWIxPvzwQ50GRKQrSZllJzoVKUdERNWTRslORkaGquNPRkbGc8uygy9VFc425jotR0RE1ZNGyU6tWrUQHx8PZ2dn2NnZQSQSlSgjCAJEIhEUCoXOgySqiHZe9nCVmSMhPRdl9coRiwAHa7NKjYuIiCqXRsnO0aNHVa+vjh07pteAiHRFIhYheKA3Jm8OgwgoNeFRCsAbP5zDz2+1R1NXtkoSERkjrefZiY2NRZ06dUq07giCgPv371fLiQU5z45xOxAej4V7I9U6K7vKzDGjVyNsOHsPEXEZkFmYYtP4dmhZx85wgRIRkVY0/f7WOtmRSCSqV1pPS0lJgbOzc7V8jcVkx/gplAIuRKciKTMXzjbmaOdlD4lYhPQnBRi7/gIux6bBWmqC9eNewkt17cu/IBERGZzeJhUs7pvzrKysLJibs6MnVU0SsQh+9R0wuJU7/Oo7QCIu+jMsszDFz2+1R4d69sjKK8ToHy/gdFSygaMlIiJd0njo+YwZMwAULbQ4b948WFpaqo4pFAqcP38erVq10nmARPpmLTXBhnHt8M7mUBy/9QjjN17Ed2+0hr+3i6FDIyIiHdA42bl8+TKAopad69evw8zsvxEsZmZmaNmyJWbNmqX7CIkqgbmpBOtGtcG7Wy/jYEQi3tkcilXDW2FACzdDh0ZERC9I49dYx44dw7FjxzBmzBgcOHBAtX3s2DEcPHgQ69atQ8OGDbW6+Zo1a9CiRQvY2trC1tYWfn5+2L9/v+p4bm4ugoKC4ODgAGtrawQGBiIxMVHtGrGxsejfvz8sLS3h7OyM2bNno7CwUKs4iABAaiLB6jdaY0grNxQqBby79TJ2hj4wdFhERPSCtOqzU1BQgJ9//hkxMTE6uXnt2rWxbNkyhIaG4tKlS+jRowcGDx6MiIgIAMD777+PvXv3YseOHThx4gTi4uIwdOhQ1fkKhQL9+/dHfn4+zp49i40bN2LDhg2YP3++TuKjmsdEIsbnr7XC8JfqQCkAs3Zcxc/ndPPnnYiIDEPr0Vj16tXD7t270bJlS70EZG9vj88++wyvvvoqnJycsGXLFrz66qsAgJs3b6Jp06YICQlBhw4dsH//fgwYMABxcXFwcSnqX7F27VrMmTMHjx49UnvV9jwcjUXPEgQBi/ZFYv2ZewCAj/s1xcSu9QwbFBERqdHbaKyPP/4YH330EVJTU18owGcpFAps27YN2dnZ8PPzQ2hoKAoKCuDv768q06RJE3h4eCAkJAQAEBISAh8fH1WiAwABAQHIyMhQtQ4RVYRIJML8Ad4Ierk+AGDJXzew6vA/0PLfBkREVAVUaNXz27dvw83NDZ6enrCyslI7HhYWptX1rl+/Dj8/P+Tm5sLa2hq7d++Gt7c3rly5AjMzM9jZ2amVd3FxQUJCAgAgISFBLdEpPl58rCx5eXnIy8tTbZe33hfVTCKRCLMDmsDSzASfHbyFVYej8CRfgQ/7Nil1+gUiIqqatE52hgwZotMAGjdujCtXriA9PR07d+7EmDFjcOLECZ3e41lLly7FwoUL9XoPMh5BLzeAuakEi/dFYt3Ju3hSoMCCgc0gFjPhISKqDrROdoKDg3UagJmZGRo0aAAAaNOmDS5evIivvvoKr7/+OvLz85GWlqbWupOYmAi5XA4AkMvluHDhgtr1ikdrFZcpzdy5c1XzBgFFLTt16tTRVZXICL3V2QuWZhJ8tPs6NoXEICdfgeWBLVSTExIRUdWldZ8dAEhLS8P//d//Ye7cuaq+O2FhYXj48OELB6RUKpGXl4c2bdrA1NQUR44cUR27desWYmNj4efnBwDw8/PD9evXkZSUpCpz6NAh2Nrawtvbu8x7SKVS1XD34g9ReUa088AXr7WERCzCztAHeG/bZRQolIYOi4iIyqF1y861a9fg7+8PmUyGe/fuYeLEibC3t8euXbsQGxuLTZs2aXytuXPnom/fvvDw8EBmZia2bNmC48eP4+DBg5DJZHjrrbcwY8YM2Nvbw9bWFtOmTYOfnx86dOgAAOjduze8vb0xatQorFixAgkJCfjf//6HoKAgSKVSbatGVK5XfGvDwlSCaVsvY9+1eOQWKPDtG61hbioxdGhERFQGrVt2ZsyYgbFjxyIqKkptLax+/frh5MmTWl0rKSkJo0ePRuPGjdGzZ09cvHgRBw8eRK9evQAAX375JQYMGIDAwEB07doVcrkcu3btUp0vkUiwb98+SCQS+Pn54c0338To0aOxaNEibatFpLE+zV3x/ai2kJqIcfhGEiZuuoQn+QoolAJC7qTg9ysPEXInBQolR24REVUFWs+zI5PJEBYWhvr168PGxgZXr15FvXr1EBMTg8aNGyM3N1dfseoN59mhijh7JxkTNl5CTr4CDZyskZlXgMSM/0b5ucrMETzQG32auxowSiIi46W3eXakUmmpQ7X/+ecfODk5aXs5omqrY31H/PxWe5ibinH7UZZaogMACem5mLw5DAfC4w0UIRERARVIdgYNGoRFixahoKAAQNFcJLGxsZgzZw4CAwN1HiBRVdaqjh2spaV3fStuMl24N5KvtIiIDEjrZOfzzz9HVlYWnJ2d8eTJE3Tr1g0NGjSAjY0NlixZoo8YiaqsC9GpSM7KL/O4ACA+PRcXonU74zgREWlO69FYMpkMhw4dwunTp3Ht2jVkZWWhdevWass6ENUUSZma9VHTtBwREeme1slOsc6dO6Nz5866jIWo2nG2MS+/EABnG06FQERkKBVKdo4cOYIjR44gKSkJSqX6pGo//fSTTgIjqg7aednDVWaOhPRcPK9XzrdHb8PJxhwNnK0rLTYiIiqidZ+dhQsXonfv3jhy5AiSk5Px+PFjtQ9RTSIRixA8sGi27mcXjijeNhGLcOZOCvp+dRJL999Adl5hpcZIRFTTaT3PjqurK1asWIFRo0bpK6ZKx3l26EUdCI/Hwr2RiE//r29O8Tw73q4yLNoXgcM3ipY1kdua4+P+TTGghStXTyciegGafn9rnew4ODjgwoULqF+//gsHWVUw2SFdUCgFXIhORVJmLpxtzNHOy15todCjNxOx4I9IxKbmAAD86jlg4eBmaORiY6iQiYiqNb0lO3PmzIG1tTXmzZv3wkFWFUx2qLLkFiiw7sRdfHf8NvIKlTARizCuU12859+ozPl6iIiodHpLdt577z1s2rQJLVq0QIsWLWBqaqp2/IsvvqhYxAbEZIcq2/3UHCzeF4m/IxMBFI3W+rh/Uwxq6cZXW0REGtJbsvPyyy+XfTGRCEePHtXmclUCkx0ylOO3krDgjwjcSyl6tdXOyx6LBjdDEzn/HBIRlUdvyY4xYrJDhpRXqMAPJ+/i22O3kVughEQswhi/upjeqyFszU3LvwARUQ3FZEcLTHaoKnjwOAdL/ryB/eEJAABHayk+6tcEr/i6q73aKq8jNBFRTaHzZGfo0KEa3XjXrl2aRViFMNmhquTkP4+w4I8I3E3OBgC09ayFRYObw9vN9rlD3Ps0dzVUyEREBqHzZGfcuHEa3Xj9+vWaRViFMNmhqiavUIEfT0fjmyO38aRAAbEI6NbICcdvPSoxU3Nxm86aN1sz4SGiGoWvsbTAZIeqqri0J1jy1w38eS3+ueVEAOQyc5ye04OvtIioxtD0+1vr5SKIqPK42Vlg9Rut8XG/ps8tJwCIT8/FhejUygmMiKgaYbJDVA0422q2anpSZm75hYiIahgmO0TVgLONuU7LERHVJEx2iKqBdl72cJWZl1hZ/VlHbyYiLSe/UmIiIqoumOwQVQMSsQjBA70B4LkJzw+notF1xTF8d/w2nuQrKic4IqIqjskOUTXRp7kr1rzZGnKZ+qsqV5k51oxsjZ/GtkUTuQ0ycgux4sAtdF95DFvOx6JQoTRQxEREVQOHnoNDz6l6ed4MygqlgN+vPMTnf/+Dh2lPAAD1HK0wK6Ax+jaXc5FRIjIqnGdHC0x2yNjkFSrwy7lYfHvsNlKzi/rwtKgtw5w+TdCpgaOBoyMi0g0mO1pgskPGKiuvED+cvIv/O3UX2f/24enS0BFz+jRBc3eZgaMjInoxTHa0wGSHjF1yVh6+PXobv5yPQYGi6Fd+QAtXzOrdGHUdrQwcHRFRxTDZ0QKTHaopYlNy8MWhW/j9ahwEATARizC8XR2827Oh2hw9XFmdiKoDJjtaYLJDNU1kXAZWHLyJ47ceAQAsTCV4q7MXJnWrh7O3k7myOhFVC0x2tMBkh2qqc3dTsPzATVyOTQMAWJpJkFPK/DxcWZ2IqiIuBEpE5epQzwG7JnfEulFtUN/JqtREByhaaBQAFu6NhEJZ4/99RETVDJMdohpOJBIhoJkcCwc1e245rqxORNUVkx0iAgCkZGu2phZXViei6obJDhEB0HzF9B2XHiAiLl3P0RAR6Q6THSICoPnK6qdvJ6P/16fxxg/ncOxWEjjGgYiqOiY7RATg+Suri/79fNi3CQa2dINELMLZOykYt/4ien95EtsvxiK3gKusE1HVZNBkZ+nSpXjppZdgY2MDZ2dnDBkyBLdu3VIrk5ubi6CgIDg4OMDa2hqBgYFITExUKxMbG4v+/fvD0tISzs7OmD17NgoLCyuzKkRGoayV1eUyc6x5szXe6VYf34zwxYnZ3TGhsxespSaISsrCnN+uo/Pyo/j6SJRqLS4ioqrCoPPs9OnTB8OHD8dLL72EwsJCfPTRRwgPD0dkZCSsrIqmsJ88eTL+/PNPbNiwATKZDFOnToVYLMaZM2cAAAqFAq1atYJcLsdnn32G+Ph4jB49GhMnTsSnn36qURycZ4dInaYzKGfkFmDbhVisP3NPNQmhuakYga1r463OXqjnZF3ZoRNRDVItJxV89OgRnJ2dceLECXTt2hXp6elwcnLCli1b8OqrrwIAbt68iaZNmyIkJAQdOnTA/v37MWDAAMTFxcHFxQUAsHbtWsyZMwePHj2CmZlZufdlskP0YgoUSvx1PR4/nLqL8IcZAACRCPBv6oKJXerhpbq1IBKpJ0tckoKIXpSm398mlRhTudLTi0Z42NvbAwBCQ0NRUFAAf39/VZkmTZrAw8NDleyEhITAx8dHlegAQEBAACZPnoyIiAj4+vpWbiWIaiBTiRiDW7ljUEs3nLubiv87dRdHbibhUGQiDkUmomVtGSZ0qYe+zeUwkYhxIDyeS1IQUaWpMsmOUqnE9OnT0alTJzRv3hwAkJCQADMzM9jZ2amVdXFxQUJCgqrM04lO8fHiY6XJy8tDXl6eajsjI0NX1SCq0UQiEfzqO8CvvgNuJ2Xix9PR+C3sIa4+SMe0rZfhbmcBv/oO+C30AZ5tUk5Iz8XkzWFckoKIdK7KjMYKCgpCeHg4tm3bpvd7LV26FDKZTPWpU6eO3u9JVNM0cLbB0qEtcPbDHnivZ0PYW5nhYdoT7Cwl0QG4JAUR6U+VSHamTp2Kffv24dixY6hdu7Zqv1wuR35+PtLS0tTKJyYmQi6Xq8o8OzqreLu4zLPmzp2L9PR01ef+/fs6rA0RPc3RWor3ezXC2Q97YEJnr+eW5ZIURKQPBk12BEHA1KlTsXv3bhw9ehReXup/EbZp0wampqY4cuSIat+tW7cQGxsLPz8/AICfnx+uX7+OpKQkVZlDhw7B1tYW3t7epd5XKpXC1tZW7UNE+mVuKoFPbZlGZbkkBRHpkkH77AQFBWHLli34/fffYWNjo+pjI5PJYGFhAZlMhrfeegszZsyAvb09bG1tMW3aNPj5+aFDhw4AgN69e8Pb2xujRo3CihUrkJCQgP/9738ICgqCVCo1ZPWI6BmaLkmx8uAtPMrMwxBfdzha8/eYiF6MQYeePzsUtdj69esxduxYAEWTCs6cORNbt25FXl4eAgIC8N1336m9ooqJicHkyZNx/PhxWFlZYcyYMVi2bBlMTDTL5Tj0nKhyKJQCOi8/ioT03FL77TxLIhbh5cZOCGxdGz2aOkNqItF7jERUfVTLeXYMhckOUeU5EB6PyZvDAEAt4Sn+p8/KYS2Qk6/AzrCHuHo/TXXcztIUg1q64dU2teHjLivzH0tEVHMw2dECkx2iyqXpPDu3kzKxM/Qhdl9+gMSM/6aLaOhsjVfb1MYrvu5wti371RgnLiQybkx2tMBkh6jyaZOIKJQCTt9Oxm+hD3AwIgF5hUoAgFgEdG1U9Jqrl7cLzE3/e83FiQuJjB+THS0w2SGqPjJyC/DntXjsDH2A0JjHqv225iYY0NINga1rIykjF1N+CSvRL6g4leLEhUTGgcmOFpjsEFVP0cnZ2BX2AL+FPkDcUy04ErGozIkJRShaxf30nB58pUVUzWn6/V0lJhUkIqoIL0crzOzdGKfn9MAvE9pjqK87zCTi587AzIkLiWoeJjtEVO2JxSJ0auCIL15vhU9eaa7ROdHJWXqOioiqiiqzECgRkS7UqWWpUbmPdodj64X76NzQEZ0bOKKNZy21Ds5EZDyY7BCRUWnnZQ9XmflzJy40EYtQqBRw/WE6rj9Mx5rjd2BuKsZLde3RpaEjOjdwQhO5DcQa9Onh8Haiqo8dlMEOykTGpryJC9e82RqtPWrh9O1knI5KxqnbyXiUmad2DUdrM3RqUNTq07mhI1xlFqXeh8PbiQyHo7G0wGSHyPhok4gIgoB/ErNwKuoRTt9Oxvm7qXhSoFArU9/JCl0aOqFzA0d0qO+A01GPMHkzh7cTGRKTHS0w2SEyThV9xZRXqMDl2DRVq8/1B2l4eoCXRFTUKbpAweHtRIbEZEcLTHaI6HnScwpw9k5R4nPmdjJiUnI0Om/rxA7wq++g5+iIai5Nv7/ZQZmIqBwyS1P09XFFX5+i11LrT0dj4b7Ics/bFHIPAODrYceRXkQGxGSHiEhLTVw1awHeH56A/eEJMJWI0LK2Hdp52aOdlz3aeNaCjbmpxvfjiC+iF8Nkh4hIS5oMb5dZmKJLQ8d/k5Q8XIp5jEsxj/Hd8TsQiwBvN1u0q+ugSoDsrcxKvQ5HfBG9OPbZAfvsEJH2NBne3qe5KwRBQGxqDs5Hp+LCv5/Y1JJ9fho6W6sSn6JkykJ1D474IiodOyhrgckOEVVERVtdEtJzceFeKi5Ep+BCdCr+SSy5dEXtWuZIySooMQS+GEd8ETHZ0QqTHSKqKF30p0nNzsfFe/+1/ETEpeM5a5mq4YgvqsmY7GiByQ4RVSWZuQVYfewO1p64U25ZH3db9PaWo3ltGXzcZXC0llbonuwETdURh54TEVVTNuam6NbISaNk5/rDDFx/mKHadpWZo7l7UeLj4y5Dc3cZnGyenwCxEzQZO7bsgC07RFT1KJQCOi8/WuaILxEAeyszvN2tHiLiMnD9YTqik7NR2t/oLrZSVeJTnAQ525oDADtBU7XG11haYLJDRFWRpiO+imXlFSLi35Xcw//9790yEiBnGymau9niwr3HyMorLPX+7ARNVR2THS0w2SGiqupFXzFl5RUi8t+Wn+IE6M6jrFIToLKwEzRVVUx2tMBkh4iqMl13Hs7OK0RkfAa2no/FrssPyy3fyMUaLzd2hrebLZq7y+DlYAVxBe7PTtCka+ygTERkJCRikU5bVqykJniprj0KFYJGyc4/iVlqcwFZmUnQ1LUo8fF2s0VzNxkauljDVCIu8xrsBE2GxJYdsGWHiGomTTpBO1ibYUavRoiMz0BEXAZuxGcgt0BZoqyZRIzGchs0d7dFMzcZmrnZoqmrLcxNJewETXrD11haYLJDRDWVtp2gCxVK3E3ORkRcOsIfZiAiLh0RcRnIzC3ZyVkiFqGeoyUePH6CJ6UkSMX3YSdoqigmO1pgskNENdmLvmISBAH3U58gPK6oE3REXFESlJyVr3EM7ARNFcFkRwtMdoioptN152FBEJCUmYcfT93F96eiyy1vb2WKDvUc0Mztv7mAapWxEvzzsBN0zcJkRwtMdoiI9CPkTgpG/HCuQue621mgubstfNxlaOZe/nIY7ARd8zDZ0QKTHSIi/dCkE7SzrRSfv9oSEfFF8wFFxGUgOjm71Ou5ysz/a/2pXTQSzNnWnJ2gaygmO1pgskNEpD/adoIGgIzcAkT82wH6+r+TIZa1HIaTtRkycguRV8hO0DUNkx0tMNkhItIvXbxienY26PB/Z4NWavgttnJYSwxq6QYzk7LnA9IE+wVVHUx2tMBkh4hI//SRJOTkF+L7E3ex6kiURuUlYhE87C1R38kK9Zysn/qvNew16BDNfkFVC5MdLTDZISKqvjTtBC01EZf5qgsA7CxNUc/RCvWdrNUSIU8HS5hKxJXaL4itR5rhchFERFQjtPOyh6vM/LmdoOUyc5z64GU8ysrD3UfZuPsoC3ceZePOoyzcfZSNh2lPkJZTgLDYNITFpqmdLxGL4FHLAnFlXF/49x4L90ail7f8hZMSth7pnkFbdk6ePInPPvsMoaGhiI+Px+7duzFkyBDVcUEQEBwcjB9++AFpaWno1KkT1qxZg4YNG6rKpKamYtq0adi7dy/EYjECAwPx1VdfwdraWuM42LJDRFS9VaQT9NOe5CtwNznr30To3yTo3+2cfIXGcbxUtxYay23gYCWFo7UZHKylcLAq+q+jtRlkFqYQicpOhjiqTDvVomUnOzsbLVu2xPjx4zF06NASx1esWIGvv/4aGzduhJeXF+bNm4eAgABERkbC3NwcADBy5EjEx8fj0KFDKCgowLhx4zBp0iRs2bKlsqtDREQG0qe5K9a82bpEi4hcwxYRCzPJv2t6ydT2C4KAhIxcbD4Xg9XH7pQbx8V7j3Hx3uMyj5uIRbC3MoOjtRQO1v/+999kqJaVKZbvv1kprUc1TZXpsyMSidRadgRBgJubG2bOnIlZs2YBANLT0+Hi4oINGzZg+PDhuHHjBry9vXHx4kW0bdsWAHDgwAH069cPDx48gJubm0b3ZssOEZFx0FdfF037BY3rVBc25qZIycpDSlY+UrKL/vsoK6/U9cMqYsFAb/TzcYWTjfS5rUTlMYZ+QdWiZed5oqOjkZCQAH9/f9U+mUyG9u3bIyQkBMOHD0dISAjs7OxUiQ4A+Pv7QywW4/z583jllVcMEToRERmIRCzSyxpbmvYL+l9/7zIThrxCBVKz85GSlY/kZ5Kh5Kx8RMal40ZCZrmxLNgbiQV7I2FhKoGngyU87C1R19EKHvaW8HSwRF0HK7jKzGEiKXuIfWX1C6oqCVWVTXYSEhIAAC4uLmr7XVxcVMcSEhLg7OysdtzExAT29vaqMqXJy8tDXl6eajsjI0NXYRMRkRGSiEUIHuiNyZvDIELp/YKCB5ad6ACA1EQCV5kFXGUWpR7XtPXI0doMqdn5eFKgwM2ETNwsJUEyEYtQu5YFPB2s4OlgWfTff5OhG/EZeG/blRJJW0J6LiZvDtNZv6Cq1NG6yiY7+rR06VIsXLjQ0GEQEVE18qL9gsqjaevR6Tk9oFAKeJj2BPdSshGbkqP23/upT5CvUOJeSg7upeRofP/ie360OxwO1lLYWZjC2twENuamsDSVQKxFi0xZHa11nVBpqsomO3K5HACQmJgIV9f/fiCJiYlo1aqVqkxSUpLaeYWFhUhNTVWdX5q5c+dixowZqu2MjAzUqVNHh9ETEZEx6tPcFb285Xp5NaNN65FELIKXoxW8HK1KXEepLOpU/V8ClIPY1GzcS87B3eQs5BaUPdcQAKRm52PY2hC1fSIRYG1mAhtzE1ibm8BaWpQEWZubwEb6735p0baVVIJlVayjdZVNdry8vCCXy3HkyBFVcpORkYHz589j8uTJAAA/Pz+kpaUhNDQUbdq0AQAcPXoUSqUS7du3L/PaUqkUUmnZK+cSERGVRV/9ggDdtB6JxSK42VnAzc4CHeurH/v98kO8t/1KudewtzKFUgAycwuhUAoQBCAzrxCZeYVAura1UicAiE/PxYXoVL39HJ9l0GQnKysLt2/fVm1HR0fjypUrsLe3h4eHB6ZPn45PPvkEDRs2VA09d3NzU43Yatq0Kfr06YOJEydi7dq1KCgowNSpUzF8+HCNR2IRERFVJfpsPXK2Ndeo3Oo32sCvvgMEQUBugRKZeQXIyi1EVl4hMnOLPkX//9T+f4/dScpEZHz5Ha2TMnPLLaMrBk12Ll26hJdfflm1XfxqacyYMdiwYQM++OADZGdnY9KkSUhLS0Pnzp1x4MAB1Rw7APDLL79g6tSp6Nmzp2pSwa+//rrS60JERKQrhh5V1s7LvmhbJIKFmQQWZhI422h2D007WjvbaJZ46UKVmWfHkDjPDhER1RQvOtt0eRRKAZ2XH9Woo/WLtlZp+v39YuvcExERUbVS3C9ILlNvWZHLzHUySqq4ozXwXwJVTNNh+rrGlh2wZYeIiGoefU/4Vxnz7Gj6/c1kB0x2iIiI9EHfCVW1Xy6CiIiIqjd9DtPXBvvsEBERkVFjskNERERGjckOERERGTUmO0RERGTUmOwQERGRUWOyQ0REREaNyQ4REREZNSY7REREZNSY7BAREZFR4wzKAIpXzMjIyDBwJERERKSp4u/t8la+YrIDIDMzEwBQp04dA0dCRERE2srMzIRMJivzOBcCBaBUKhEXFwcbGxuIRJW35HxpMjIyUKdOHdy/f79GLUpaU+sNsO41se41td5Aza17Ta03oN+6C4KAzMxMuLm5QSwuu2cOW3YAiMVi1K5d29BhqLG1ta1xvxBAza03wLrXxLrX1HoDNbfuNbXegP7q/rwWnWLsoExERERGjckOERERGTUmO1WMVCpFcHAwpFKpoUOpVDW13gDrXhPrXlPrDdTcutfUegNVo+7soExERERGjS07REREZNSY7BAREZFRY7JDRERERo3JDhERERk1JjuVaOnSpXjppZdgY2MDZ2dnDBkyBLdu3XruORs2bIBIJFL7mJubV1LEurFgwYISdWjSpMlzz9mxYweaNGkCc3Nz+Pj44K+//qqkaHWrbt26JeouEokQFBRUavnq/LxPnjyJgQMHws3NDSKRCHv27FE7LggC5s+fD1dXV1hYWMDf3x9RUVHlXnf16tWoW7cuzM3N0b59e1y4cEFPNaiY59W7oKAAc+bMgY+PD6ysrODm5obRo0cjLi7uudesyO+MIZT3zMeOHVuiHn369Cn3ulX9mQPl172033uRSITPPvuszGtWh+euyfdYbm4ugoKC4ODgAGtrawQGBiIxMfG5163o3w+aYrJTiU6cOIGgoCCcO3cOhw4dQkFBAXr37o3s7Oznnmdra4v4+HjVJyYmppIi1p1mzZqp1eH06dNllj179ixGjBiBt956C5cvX8aQIUMwZMgQhIeHV2LEunHx4kW1eh86dAgAMGzYsDLPqa7POzs7Gy1btsTq1atLPb5ixQp8/fXXWLt2Lc6fPw8rKysEBAQgNze3zGtu374dM2bMQHBwMMLCwtCyZUsEBAQgKSlJX9XQ2vPqnZOTg7CwMMybNw9hYWHYtWsXbt26hUGDBpV7XW1+ZwylvGcOAH369FGrx9atW597zerwzIHy6/50nePj4/HTTz9BJBIhMDDwudet6s9dk++x999/H3v37sWOHTtw4sQJxMXFYejQoc+9bkX+ftCKQAaTlJQkABBOnDhRZpn169cLMpms8oLSg+DgYKFly5Yal3/ttdeE/v37q+1r37698Pbbb+s4ssr33nvvCfXr1xeUSmWpx43heQuCIAAQdu/erdpWKpWCXC4XPvvsM9W+tLQ0QSqVClu3bi3zOu3atROCgoJU2wqFQnBzcxOWLl2ql7hf1LP1Ls2FCxcEAEJMTEyZZbT9nakKSqv7mDFjhMGDB2t1ner2zAVBs+c+ePBgoUePHs8tUx2f+7PfY2lpaYKpqamwY8cOVZkbN24IAISQkJBSr1HRvx+0wZYdA0pPTwcA2NvbP7dcVlYWPD09UadOHQwePBgRERGVEZ5ORUVFwc3NDfXq1cPIkSMRGxtbZtmQkBD4+/ur7QsICEBISIi+w9Sr/Px8bN68GePHj3/ugrPG8LyfFR0djYSEBLXnKpPJ0L59+zKfa35+PkJDQ9XOEYvF8Pf3r9Z/FtLT0yESiWBnZ/fcctr8zlRlx48fh7OzMxo3bozJkycjJSWlzLLG+swTExPx559/4q233iq3bHV77s9+j4WGhqKgoEDtGTZp0gQeHh5lPsOK/P2gLSY7BqJUKjF9+nR06tQJzZs3L7Nc48aN8dNPP+H333/H5s2boVQq0bFjRzx48KASo30x7du3x4YNG3DgwAGsWbMG0dHR6NKlCzIzM0stn5CQABcXF7V9Li4uSEhIqIxw9WbPnj1IS0vD2LFjyyxjDM+7NMXPTpvnmpycDIVCYVR/FnJzczFnzhyMGDHiuQsiavs7U1X16dMHmzZtwpEjR7B8+XKcOHECffv2hUKhKLW8MT5zANi4cSNsbGzKfZVT3Z57ad9jCQkJMDMzK5HMP+8ZVuTvB21x1XMDCQoKQnh4eLnvY/38/ODn56fa7tixI5o2bYp169Zh8eLF+g5TJ/r27av6/xYtWqB9+/bw9PTEr7/+qtG/dIzFjz/+iL59+8LNza3MMsbwvKl0BQUFeO211yAIAtasWfPcssbyOzN8+HDV//v4+KBFixaoX78+jh8/jp49exowssr1008/YeTIkeUONqhuz13T77GqgC07BjB16lTs27cPx44dQ+3atbU619TUFL6+vrh9+7aeotM/Ozs7NGrUqMw6yOXyEj33ExMTIZfLKyM8vYiJicHhw4cxYcIErc4zhucNQPXstHmujo6OkEgkRvFnoTjRiYmJwaFDh57bqlOa8n5nqot69erB0dGxzHoY0zMvdurUKdy6dUvr332gaj/3sr7H5HI58vPzkZaWplb+ec+wIn8/aIvJTiUSBAFTp07F7t27cfToUXh5eWl9DYVCgevXr8PV1VUPEVaOrKws3Llzp8w6+Pn54ciRI2r7Dh06pNbiUd2sX78ezs7O6N+/v1bnGcPzBgAvLy/I5XK155qRkYHz58+X+VzNzMzQpk0btXOUSiWOHDlSrf4sFCc6UVFROHz4MBwcHLS+Rnm/M9XFgwcPkJKSUmY9jOWZP+3HH39EmzZt0LJlS63PrYrPvbzvsTZt2sDU1FTtGd66dQuxsbFlPsOK/P1QkcCpkkyePFmQyWTC8ePHhfj4eNUnJydHVWbUqFHChx9+qNpeuHChcPDgQeHOnTtCaGioMHz4cMHc3FyIiIgwRBUqZObMmcLx48eF6Oho4cyZM4K/v7/g6OgoJCUlCYJQss5nzpwRTExMhJUrVwo3btwQgoODBVNTU+H69euGqsILUSgUgoeHhzBnzpwSx4zpeWdmZgqXL18WLl++LAAQvvjiC+Hy5cuqUUfLli0T7OzshN9//124du2aMHjwYMHLy0t48uSJ6ho9evQQvvnmG9X2tm3bBKlUKmzYsEGIjIwUJk2aJNjZ2QkJCQmVXr+yPK/e+fn5wqBBg4TatWsLV65cUfu9z8vLU13j2XqX9ztTVTyv7pmZmcKsWbOEkJAQITo6Wjh8+LDQunVroWHDhkJubq7qGtXxmQtC+X/eBUEQ0tPTBUtLS2HNmjWlXqM6PndNvsfeeecdwcPDQzh69Khw6dIlwc/PT/Dz81O7TuPGjYVdu3aptjX5++FFMNmpRABK/axfv15Vplu3bsKYMWNU29OnTxc8PDwEMzMzwcXFRejXr58QFhZW+cG/gNdff11wdXUVzMzMBHd3d+H1118Xbt++rTr+bJ0FQRB+/fVXoVGjRoKZmZnQrFkz4c8//6zkqHXn4MGDAgDh1q1bJY4Z0/M+duxYqX++i+unVCqFefPmCS4uLoJUKhV69uxZ4mfi6ekpBAcHq+375ptvVD+Tdu3aCefOnaukGmnmefWOjo4u8/f+2LFjqms8W+/yfmeqiufVPScnR+jdu7fg5OQkmJqaCp6ensLEiRNLJC3V8ZkLQvl/3gVBENatWydYWFgIaWlppV6jOj53Tb7Hnjx5IkyZMkWoVauWYGlpKbzyyitCfHx8ies8fY4mfz+8CNG/NyUiIiIySuyzQ0REREaNyQ4REREZNSY7REREZNSY7BAREZFRY7JDRERERo3JDhERERk1JjtERERk1JjsENELu3fvHkQiEa5cuWLoUFRu3ryJDh06wNzcHK1atdL6/KpYJyKqGCY7REZg7NixEIlEWLZsmdr+PXv2QCQSGSgqwwoODoaVlRVu3bpVYq01Q9iwYQPs7OwMdn+RSIQ9e/aotgsKCjBixAi4u7sjPDzcYHERVQYmO0RGwtzcHMuXL8fjx48NHYrO5OfnV/jcO3fuoHPnzvD09KzQ4ptVlUKhgFKpfKFr5OTkYNCgQbh48SJOnz6N5s2b6yg6oqqJyQ6RkfD394dcLsfSpUvLLLNgwYISr3RWrVqFunXrqrbHjh2LIUOG4NNPP4WLiwvs7OywaNEiFBYWYvbs2bC3t0ft2rWxfv36Ete/efMmOnbsCHNzczRv3hwnTpxQOx4eHo6+ffvC2toaLi4uGDVqFJKTk1XHu3fvjqlTp2L69OlwdHREQEBAqfVQKpVYtGgRateuDalUilatWuHAgQOq4yKRCKGhoVi0aBFEIhEWLFhQ5nVWrFiBBg0aQCqVwsPDA0uWLCm1bGktM8+2nF29ehUvv/wybGxsYGtrizZt2uDSpUs4fvw4xo0bh/T0dIhEIrWY8vLyMGvWLLi7u8PKygrt27fH8ePHS9z3jz/+gLe3N6RSKWJjY3H8+HG0a9cOVlZWsLOzQ6dOnRATE1Nq7E9LS0tDr169EBcXh9OnT5dYtZrIGDHZITISEokEn376Kb755hs8ePDgha519OhRxMXF4eTJk/jiiy8QHByMAQMGoFatWjh//jzeeecdvP322yXuM3v2bMycOROXL1+Gn58fBg4ciJSUFABFX7I9evSAr68vLl26hAMHDiAxMRGvvfaa2jU2btwIMzMznDlzBmvXri01vq+++gqff/45Vq5ciWvXriEgIACDBg1CVFQUACA+Ph7NmjXDzJkzER8fj1mzZpV6nblz52LZsmWYN28eIiMjsWXLFri4uFT45zZy5EjUrl0bFy9eRGhoKD788EOYmpqiY8eOWLVqFWxtbREfH68W09SpUxESEoJt27bh2rVrGDZsGPr06aOqC1DUErN8+XL83//9HyIiImBvb48hQ4agW7duuHbtGkJCQjBp0qRyX1kmJCSgW7duAIATJ05ALpdXuK5E1YrOlhQlIoMZM2aMMHjwYEEQBKFDhw7C+PHjBUEQhN27dwtP/5oHBwcLLVu2VDv3yy+/FDw9PdWu5enpKSgUCtW+xo0bC126dFFtFxYWClZWVsLWrVsFQRBUq3svW7ZMVaagoECoXbu2sHz5ckEQBGHx4sVC79691e59//59tRXhu3XrJvj6+pZbXzc3N2HJkiVq+1566SVhypQpqu2WLVuWWE37aRkZGYJUKhV++OGHUo8X1+ny5cuCIAjC+vXrBZlMplbm2Z+vjY2NsGHDhlKvV9r5MTExgkQiER4+fKi2v2fPnsLcuXNV5wEQrly5ojqekpIiABCOHz9eZv2eBUAwMzMTmjRpImRnZ2t8HpExYMsOkZFZvnw5Nm7ciBs3blT4Gs2aNYNY/N9fDy4uLvDx8VFtSyQSODg4ICkpSe08Pz8/1f+bmJigbdu2qjiuXr2KY8eOwdraWvVp0qQJgKL+NcXatGnz3NgyMjIQFxeHTp06qe3v1KmTVnW+ceMG8vLy0LNnT43PKc+MGTMwYcIE+Pv7Y9myZWr1Ks3169ehUCjQqFEjtZ/LiRMn1M41MzNDixYtVNv29vYYO3YsAgICMHDgQHz11VeIj48vN74BAwbgn3/+wbp16ypeSaJqiMkOkZHp2rUrAgICMHfu3BLHxGIxBEFQ21dQUFCinKmpqdq2SCQqdZ82HWWzsrIwcOBAXLlyRe0TFRWFrl27qspZWVlpfM0XYWFhoVV5TX52CxYsQEREBPr374+jR4/C29sbu3fvLvOaWVlZkEgkCA0NVfuZ3LhxA1999ZVarM++olq/fj1CQkLQsWNHbN++HY0aNcK5c+eeW4dRo0bhp59+wqxZs/DFF19oWnWiao/JDpERWrZsGfbu3YuQkBC1/U5OTkhISFD70tblPDJPf9kWFhYiNDQUTZs2BQC0bt0aERERqFu3Lho0aKD20SbBsbW1hZubG86cOaO2/8yZM/D29tb4Og0bNoSFhYXGw9KdnJyQmZmJ7Oxs1b7SfnaNGjXC+++/j7///htDhw5VdeQ2MzODQqFQK+vr6wuFQoGkpKQSPxNN+tP4+vpi7ty5OHv2LJo3b44tW7aUe86YMWOwYcMGfPDBB1i5cmW55YmMAZMdIiPk4+ODkSNH4uuvv1bb3717dzx69AgrVqzAnTt3sHr1auzfv19n9129ejV2796NmzdvIigoCI8fP8b48eMBAEFBQUhNTcWIESNw8eJF3LlzBwcPHsS4ceNKJAHlmT17NpYvX47t27fj1q1b+PDDD3HlyhW89957Gl/D3Nwcc+bMwQcffIBNmzbhzp07OHfuHH788cdSy7dv3x6Wlpb46KOPcOfOHWzZsgUbNmxQHX/y5AmmTp2K48ePIyYmBmfOnMHFixdVyV7dunWRlZWFI0eOIDk5GTk5OWjUqBFGjhyJ0aNHY9euXYiOjsaFCxewdOlS/Pnnn2XGHh0djblz5yIkJAQxMTH4+++/ERUVpbpXeUaNGoWNGzfiww8/xGeffabxz4youmKyQ2SkFi1aVOI1U9OmTfHdd99h9erVaNmyJS5cuFDmSKWKWLZsGZYtW4aWLVvi9OnT+OOPP+Do6AgAqtYYhUKB3r17w8fHB9OnT4ednZ1a/yBNvPvuu5gxYwZmzpwJHx8fHDhwAH/88QcaNmyo1XXmzZuHmTNnYv78+WjatClef/31Ev2Qitnb22Pz5s3466+/4OPjg61bt6oNaZdIJEhJScHo0aPRqFEjvPbaa+jbty8WLlwIAOjYsSPeeecdvP7663BycsKKFSsAFL2OGj16NGbOnInGjRtjyJAhuHjxIjw8PMqM29LSEjdv3kRgYCAaNWqESZMmISgoCG+//bbGdR85ciR+/vlnzJ07F8uXL9f4PKLqSCQ8+xKaiIiIyIiwZYeIiIiMGpMdIiIiMmpMdoiIiMioMdkhIiIio8Zkh4iIiIwakx0iIiIyakx2iIiIyKgx2SEiIiKjxmSHiIiIjBqTHSIiIjJqTHaIiIjIqDHZISIiIqP2/+59yG37Lk1bAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Best K by silhouette: 3\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "' Ce que c’est :\\nInertia = somme des distances intra-cluster (SSE).\\nPlus elle baisse, plus les clusters sont “serrés”.\\n\\nComment lire :\\nQuand K augmente, inertia baisse toujours (normal).\\nOn cherche un “coude” : à partir d’un certain K, ajouter des clusters apporte peu\\n'"
-      ]
-     },
-     "execution_count": 228,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Evolution des clusters\n",
-    "\n",
-    "k_range = range(2, 21)\n",
-    "inertias = []\n",
-    "silhouettes = []\n",
-    "\n",
-    "for k in k_range:\n",
-    "    km = KMeans(n_clusters=k, n_init=30, random_state=42)\n",
-    "    labels = km.fit_predict(X_2022_scaled2)\n",
-    "    inertias.append(km.inertia_)\n",
-    "    silhouettes.append(silhouette_score(X_2022_scaled2, labels))\n",
-    "\n",
-    "# Elbow plot\n",
-    "plt.figure()\n",
-    "plt.plot(list(k_range), inertias, marker=\"o\")\n",
-    "plt.xlabel(\"Number of clusters K\")\n",
-    "plt.ylabel(\"Inertia (within-cluster SSE)\")\n",
-    "plt.title(\"Elbow curve for K-means\")\n",
-    "plt.show()\n",
-    "\n",
-    "# Silhouette plot\n",
-    "plt.figure()\n",
-    "plt.plot(list(k_range), silhouettes, marker=\"o\")\n",
-    "plt.xlabel(\"Number of clusters K\")\n",
-    "plt.ylabel(\"Silhouette score\")\n",
-    "plt.title(\"Silhouette score for K-means\")\n",
-    "plt.show()\n",
-    "\n",
-    "best_k = list(k_range)[int(np.argmax(silhouettes))]\n",
-    "print(\"Best K by silhouette:\", best_k)\n",
-    "\n",
-    "\n",
-    "''' Ce que c’est :\n",
-    "Inertia = somme des distances intra-cluster (SSE).\n",
-    "Plus elle baisse, plus les clusters sont “serrés”.\n",
-    "\n",
-    "Comment lire :\n",
-    "Quand K augmente, inertia baisse toujours (normal).\n",
-    "On cherche un “coude” : à partir d’un certain K, ajouter des clusters apporte peu\n",
-    "'''"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 236,
-   "id": "aa314cec-891d-4f97-af49-75c8869df105",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_med</th>\n",
-       "      <th>freq_med</th>\n",
-       "      <th>rel_int_med</th>\n",
-       "      <th>gross_flow_med</th>\n",
-       "      <th>n_tx_med</th>\n",
-       "      <th>vol_med</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster2_kmeans</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>3.0</th>\n",
-       "      <td>133</td>\n",
-       "      <td>112893.522820</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>5.640443</td>\n",
-       "      <td>7428.045000</td>\n",
-       "      <td>2433.0</td>\n",
-       "      <td>8849.651088</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0.0</th>\n",
-       "      <td>130</td>\n",
-       "      <td>22171.725988</td>\n",
-       "      <td>0.984615</td>\n",
-       "      <td>5.229762</td>\n",
-       "      <td>1395.668979</td>\n",
-       "      <td>1043.5</td>\n",
-       "      <td>1577.856556</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2.0</th>\n",
-       "      <td>52</td>\n",
-       "      <td>816081.008680</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>4.501734</td>\n",
-       "      <td>51749.188856</td>\n",
-       "      <td>11492.5</td>\n",
-       "      <td>49834.562115</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.0</th>\n",
-       "      <td>31</td>\n",
-       "      <td>65939.622642</td>\n",
-       "      <td>0.200000</td>\n",
-       "      <td>3.489589</td>\n",
-       "      <td>2369.314778</td>\n",
-       "      <td>22.0</td>\n",
-       "      <td>9971.798124</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4.0</th>\n",
-       "      <td>9</td>\n",
-       "      <td>27289.956085</td>\n",
-       "      <td>0.028169</td>\n",
-       "      <td>0.030004</td>\n",
-       "      <td>6.280154</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>28.914546</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 n_clients    aum_qty_med  freq_med  rel_int_med  \\\n",
-       "cluster2_kmeans                                                    \n",
-       "3.0                    133  112893.522820  1.000000     5.640443   \n",
-       "0.0                    130   22171.725988  0.984615     5.229762   \n",
-       "2.0                     52  816081.008680  1.000000     4.501734   \n",
-       "1.0                     31   65939.622642  0.200000     3.489589   \n",
-       "4.0                      9   27289.956085  0.028169     0.030004   \n",
-       "\n",
-       "                 gross_flow_med  n_tx_med       vol_med  \n",
-       "cluster2_kmeans                                          \n",
-       "3.0                 7428.045000    2433.0   8849.651088  \n",
-       "0.0                 1395.668979    1043.5   1577.856556  \n",
-       "2.0                51749.188856   11492.5  49834.562115  \n",
-       "1.0                 2369.314778      22.0   9971.798124  \n",
-       "4.0                    6.280154       2.0     28.914546  "
-      ]
-     },
-     "execution_count": 236,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "km = KMeans(n_clusters=5, n_init=50, random_state=42)\n",
-    "labels_km = km.fit_predict(X_2022_scaled2)\n",
-    "\n",
-    "dfc.loc[X_2022_2.index, \"cluster2_kmeans\"] = labels_km\n",
-    "\n",
-    "# Profiling table (medians = robust to outliers)\n",
-    "k_profile = (\n",
-    "    dfc.loc[X_2022_2.index]\n",
-    "      .groupby(\"cluster2_kmeans\")\n",
-    "      .agg(\n",
-    "          n_clients=(ID_COL, \"count\"),\n",
-    "          aum_qty_med=(\"aum_qty_mean\", \"median\"),\n",
-    "          freq_med=(\"frequency\", \"median\"),\n",
-    "          rel_int_med=(\"rel_intensity_total\", \"median\"),\n",
-    "          gross_flow_med=(\"gross_flow_qty_mean\", \"median\"),\n",
-    "          n_tx_med=(\"n_tx_total\", \"median\"),\n",
-    "          vol_med=(\"net_flow_qty_vol\", \"median\"),\n",
-    "      )\n",
-    "      .sort_values(\"n_clients\", ascending=False)\n",
-    ")\n",
-    "\n",
-    "k_profile\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 238,
-   "id": "fd2eb9a4-9289-437f-b360-87d2accd9737",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure()\n",
-    "for name, g in dfc[~dfc['cluster2_kmeans'].isin([4.0])].groupby(\"cluster2_kmeans\"):\n",
-    "    plt.scatter(g[\"frequency\"], g[\"rel_intensity_total\"], s=10, label=name)\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_int, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.ylim(0.1,100)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cda42f1d-d725-412b-8897-3728a4a5fc4a",
-   "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": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/Clustering2.ipynb b/Clustering2.ipynb
deleted file mode 100644
index c00a8f3..0000000
--- a/Clustering2.ipynb
+++ /dev/null
@@ -1,5000 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "beb29e50-e6ef-4cf9-a355-45fbd2f4f08d",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers Flows : ['projet-bdc-data/carmignac/Flows ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/Flows ENSAE V2 -20251105.csv']\n",
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - Subscription</th>\n",
-       "      <th>Quantity - Redemption</th>\n",
-       "      <th>Quantity - NetFlows</th>\n",
-       "      <th>Value Ccy - Subscription</th>\n",
-       "      <th>Value Ccy - Redemption</th>\n",
-       "      <th>Value Ccy - NetFlows</th>\n",
-       "      <th>Value € - Subscription</th>\n",
-       "      <th>Value € - Redemption</th>\n",
-       "      <th>Value € - NetFlows</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-11-05</td>\n",
-       "      <td>1636.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1636.000</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2015-03-09</td>\n",
-       "      <td>144.69</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>144.690</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2016-10-26</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2018-10-18</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-04-08</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 24 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200127202                     France   \n",
-       "1                 406533                     France   \n",
-       "2                 406533                     France   \n",
-       "3                 406533                     France   \n",
-       "4                 406533                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France               Equity     Investissement   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France               Equity     Investissement   \n",
-       "3                     France               Equity     Investissement   \n",
-       "4                     France               Equity     Investissement   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?  ... Centralisation Date  \\\n",
-       "0                  SICAV                   NO  ...          2020-11-05   \n",
-       "1                    FCP                   NO  ...          2015-03-09   \n",
-       "2                    FCP                   NO  ...          2016-10-26   \n",
-       "3                    FCP                   NO  ...          2018-10-18   \n",
-       "4                    FCP                   NO  ...          2019-04-08   \n",
-       "\n",
-       "  Quantity - Subscription Quantity - Redemption Quantity - NetFlows  \\\n",
-       "0                 1636.00                 0.000            1636.000   \n",
-       "1                  144.69                 0.000             144.690   \n",
-       "2                    0.00                -8.321              -8.321   \n",
-       "3                    0.00               -22.083             -22.083   \n",
-       "4                    0.00              -465.992            -465.992   \n",
-       "\n",
-       "  Value Ccy - Subscription  Value Ccy - Redemption  Value Ccy - NetFlows  \\\n",
-       "0                280983.00                    0.00             280983.00   \n",
-       "1                 99985.13                    0.00              99985.13   \n",
-       "2                     0.00                -9384.76              -9384.76   \n",
-       "3                     0.00               -25227.40             -25227.40   \n",
-       "4                     0.00              -563775.76            -563775.76   \n",
-       "\n",
-       "   Value € - Subscription  Value € - Redemption  Value € - NetFlows  \n",
-       "0               280983.00                  0.00           280983.00  \n",
-       "1                99985.13                  0.00            99985.13  \n",
-       "2                    0.00              -9384.76            -9384.76  \n",
-       "3                    0.00             -25227.40           -25227.40  \n",
-       "4                    0.00            -563775.76          -563775.76  \n",
-       "\n",
-       "[5 rows x 24 columns]"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Import des données\n",
-    "\n",
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers FLOWS\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "flows_files = [f for f in all_files if \"Flows\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers Flows :\", flows_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "flows_data = {}\n",
-    "for file_path in flows_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        flows_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "dg = flows_data['Flows ENSAE V2 -20251105.csv']\n",
-    "\n",
-    "df.head()\n",
-    "dg.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "d0ab80b2-bd82-4ee3-be81-1b3105a0ed25",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import warnings\n",
-    "warnings.filterwarnings(\"ignore\")\n",
-    "\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "\n",
-    "from sklearn.preprocessing import StandardScaler, RobustScaler\n",
-    "from sklearn.cluster import KMeans\n",
-    "from sklearn.mixture import GaussianMixture\n",
-    "from sklearn.metrics import silhouette_score, davies_bouldin_score, pairwise_distances\n",
-    "from sklearn.linear_model import LinearRegression\n",
-    "from sklearn.neighbors import kneighbors_graph\n",
-    "from sklearn.manifold import MDS\n",
-    "\n",
-    "sns.set_style(\"whitegrid\")\n",
-    "pd.set_option(\"display.max_columns\", 200)\n",
-    "pd.set_option(\"display.max_rows\", 200)\n",
-    "\n",
-    "EPS = 1e-9\n",
-    "RANDOM_STATE = 42"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "87096e14-33f6-4619-969e-c4d865c5318c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Filtrer les comptes techniques\n",
-    "\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "\n",
-    "df['Centralisation Date'] = pd.to_datetime(df['Centralisation Date'])\n",
-    "dg['Centralisation Date'] = pd.to_datetime(dg['Centralisation Date'])\n",
-    "df = df[~df['Registrar Account - ID'].isin(['Off Distribution','Private Clients', 'Private Client'])]\n",
-    "dg = dg[~dg['Registrar Account - ID'].isin(['Off Distribution','Private Clients','Private Client'])]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "b58e0058-11f8-40f8-b23c-0d5cd599d8e7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Date de référence et sélection des 400+ principaux codes\n",
-    "\n",
-    "ref_date = pd.Timestamp('2025-10-31')\n",
-    "\n",
-    "df_ref = df[df['Centralisation Date'] == ref_date]\n",
-    "\n",
-    "aum_account = (\n",
-    "    df_ref\n",
-    "    .groupby('Registrar Account - ID')['Value - AUM €']\n",
-    "    .sum()\n",
-    "    .reset_index()\n",
-    "    .sort_values(by='Value - AUM €', ascending=False)\n",
-    ")\n",
-    "aum_account = aum_account[aum_account['Value - AUM €'] > 5_000_000]\n",
-    "selected_accounts = aum_account['Registrar Account - ID']\n",
-    "\n",
-    "df_aum = df[df['Registrar Account - ID'].isin(selected_accounts)].copy()\n",
-    "df_flows = dg[dg['Registrar Account - ID'].isin(selected_accounts)].copy()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "5e55a442-14ca-454c-bcf7-432d21dc2e23",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(33972, 6)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>179864.637</td>\n",
-       "      <td>-1524.010</td>\n",
-       "      <td>15230.010</td>\n",
-       "      <td>32</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>186761.736</td>\n",
-       "      <td>7247.100</td>\n",
-       "      <td>18571.880</td>\n",
-       "      <td>38</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>190357.718</td>\n",
-       "      <td>3655.380</td>\n",
-       "      <td>9754.040</td>\n",
-       "      <td>47</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>191429.324</td>\n",
-       "      <td>-218.394</td>\n",
-       "      <td>12840.950</td>\n",
-       "      <td>39</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>189056.475</td>\n",
-       "      <td>-4782.849</td>\n",
-       "      <td>6332.849</td>\n",
-       "      <td>24</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID      month     aum_qty  net_flow_qty  gross_flow_qty  \\\n",
-       "0                  18872 2015-01-31  179864.637     -1524.010       15230.010   \n",
-       "1                  18872 2015-02-28  186761.736      7247.100       18571.880   \n",
-       "2                  18872 2015-03-31  190357.718      3655.380        9754.040   \n",
-       "3                  18872 2015-04-30  191429.324      -218.394       12840.950   \n",
-       "4                  18872 2015-05-31  189056.475     -4782.849        6332.849   \n",
-       "\n",
-       "   n_tx  \n",
-       "0    32  \n",
-       "1    38  \n",
-       "2    47  \n",
-       "3    39  \n",
-       "4    24  "
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Variables par mois\n",
-    "\n",
-    "# Parse dates\n",
-    "df_flows[\"Centralisation Date\"] = pd.to_datetime(df_flows[\"Centralisation Date\"], errors=\"coerce\")\n",
-    "df_aum[\"Centralisation Date\"]   = pd.to_datetime(df_aum[\"Centralisation Date\"], errors=\"coerce\")\n",
-    "\n",
-    "ID_COL   = \"Registrar Account - ID\"\n",
-    "FLOW_COL = \"Quantity - NetFlows\"\n",
-    "AUM_COL  = \"Quantity - AUM\"\n",
-    "\n",
-    "# Month key\n",
-    "df_flows[\"month\"] = df_flows[\"Centralisation Date\"].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_aum[\"month\"]   = df_aum[\"Centralisation Date\"].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "# Flows sont journaliers, AUM est mensuel → il faut une granularité commune.\n",
-    "\n",
-    "# 1) Monthly aggregation for FLOWS : je fais mon etude mensuel parce que aum valeur mensuel \n",
-    "\n",
-    "ID_COL   = \"Registrar Account - ID\"\n",
-    "FLOW_COL = \"Quantity - NetFlows\"\n",
-    "AUM_COL  = \"Quantity - AUM\"\n",
-    "\n",
-    "df_flows_m = (\n",
-    "    df_flows\n",
-    "    .dropna(subset=[ID_COL, \"month\", FLOW_COL])\n",
-    "    .assign(gross_flow_qty=lambda x: x[FLOW_COL].abs())  # absolute quantity moved\n",
-    "    .groupby([ID_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        net_flow_qty=(FLOW_COL, \"sum\"),              # net quantity change over the month\n",
-    "        gross_flow_qty=(\"gross_flow_qty\", \"sum\"),    # total traded quantity (activity intensity)\n",
-    "        n_tx=(FLOW_COL, \"size\"),                     # number of transactions\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "# 2) Monthly aggregation for AUM (client-month holdings) ---\n",
-    "df_aum_m = (\n",
-    "    df_aum\n",
-    "    .dropna(subset=[ID_COL, \"month\", AUM_COL])\n",
-    "    .groupby([ID_COL, \"month\"], as_index=False)\n",
-    "    .agg(aum_qty=(AUM_COL, \"sum\"))                   # total held quantity across ISINs\n",
-    ")\n",
-    "\n",
-    "df_month0 = df_aum_m.merge(df_flows_m, on=[ID_COL, \"month\"], how=\"left\")\n",
-    "\n",
-    "# 4) Months without transactions => flows are 0 ---\n",
-    "df_month0[\"net_flow_qty\"]   = df_month0[\"net_flow_qty\"].fillna(0.0)\n",
-    "df_month0[\"gross_flow_qty\"] = df_month0[\"gross_flow_qty\"].fillna(0.0)\n",
-    "df_month0[\"n_tx\"]           = df_month0[\"n_tx\"].fillna(0).astype(int)\n",
-    "\n",
-    "print(df_month0.shape)\n",
-    "df_month0.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "id": "cada672f-2944-4563-82c0-6117569a2f4c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "eps = 1e-9  \n",
-    "\n",
-    "# 1) Active month indicator: did the client trade this month?\n",
-    "df_month0[\"active_month\"] = (df_month0[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "\n",
-    "#client avec beaucoup de mois à 0 → “stable / dormant”\n",
-    "#client actif presque tous les mois → “rebalancer / institutionnel actif”\n",
-    "\n",
-    "\n",
-    "# 2) Monthly relative intensity (turnover proxy in quantity terms) : Mesurer l’intensité de trading relativement à la taille et pouvoir ocmparer client petit avec client plus gros\n",
-    "df_month0[\"rel_intensity_m\"] = df_month0[\"gross_flow_qty\"] / (df_month0[\"aum_qty\"].abs() + eps)\n",
-    "\n",
-    "# 3) Monthly net flow ratio (directional change): sert a Capturer la direction de la dynamique\n",
-    "df_month0[\"netflow_to_aum_m\"] = df_month0[\"net_flow_qty\"] / (df_month0[\"aum_qty\"].abs() + eps)\n",
-    "\n",
-    "# 4) Aggregate to client-level features (1 row per client)\n",
-    "df_client_feat0 = (\n",
-    "    df_month0.groupby(ID_COL, as_index=False)\n",
-    "            .agg(\n",
-    "                # Coverage / activity\n",
-    "                n_months=(\"month\", \"nunique\"),\n",
-    "                n_active_months=(\"active_month\", \"sum\"),\n",
-    "                flow_freq=(\"active_month\", \"mean\"),\n",
-    "\n",
-    "                # Size in quantity terms\n",
-    "                aum_qty_mean=(\"aum_qty\", \"mean\"),\n",
-    "                aum_qty_median=(\"aum_qty\", \"median\"),\n",
-    "\n",
-    "                # Flows in quantity terms\n",
-    "                net_flow_qty_sum=(\"net_flow_qty\", \"sum\"),\n",
-    "                gross_flow_qty_sum=(\"gross_flow_qty\", \"sum\"),\n",
-    "                gross_flow_qty_mean=(\"gross_flow_qty\", \"mean\"),\n",
-    "\n",
-    "                # Dispersion / volatility proxy\n",
-    "                net_flow_qty_vol=(\"net_flow_qty\", \"std\"),\n",
-    "                rel_intensity=(\"rel_intensity_m\", \"mean\"),\n",
-    "                netflow_to_aum=(\"netflow_to_aum_m\", \"mean\"),\n",
-    "\n",
-    "                # Trading frequency proxy\n",
-    "                n_tx_total=(\"n_tx\", \"sum\"),\n",
-    "            )\n",
-    ")\n",
-    "\n",
-    "# 5) Clean NaNs due to std on constant series\n",
-    "df_client_feat0[\"net_flow_qty_vol\"] = df_client_feat0[\"net_flow_qty_vol\"].fillna(0.0)\n",
-    "\n",
-    "# 6) Log transforms (useful because distributions are heavy-tailed)\n",
-    "df_client_feat0[\"log_aum_qty_mean\"] = np.log1p(df_client_feat0[\"aum_qty_mean\"].clip(lower=0))\n",
-    "df_client_feat0[\"log_gross_flow_qty_mean\"] = np.log1p(df_client_feat0[\"gross_flow_qty_mean\"].clip(lower=0))\n",
-    "\n",
-    "# 7) Global turnover proxy\n",
-    "df_client_feat0[\"gross_flow_to_aum\"] = df_client_feat0[\"gross_flow_qty_sum\"] / (df_client_feat0[\"aum_qty_mean\"].abs() + eps)\n",
-    "\n",
-    "dfc0 = df_client_feat0.copy()\n",
-    "\n",
-    "# Minimal filters (adjust if needed)\n",
-    "dfc0 = dfc0[(dfc0[\"n_months\"] >= 6)]                  # at least 6 observed months\n",
-    "dfc0 = dfc0[(dfc0[\"aum_qty_mean\"].abs() > 0)]         # avoid zero holdings\n",
-    "\n",
-    "dfc0[\"frequency\"] = dfc0[\"flow_freq\"]\n",
-    "dfc0[\"rel_intensity_total\"] = dfc0[\"gross_flow_to_aum\"]\n",
-    "\n",
-    "# Choose a compact, interpretable feature set (quantity-based)\n",
-    "features0 = [\n",
-    "    \"log_aum_qty_mean\",            # size (log)\n",
-    "    \"log_gross_flow_qty_mean\",     # activity intensity (log)\n",
-    "    \"frequency\",                   # activity frequency\n",
-    "    \"rel_intensity_total\",         # turnover proxy\n",
-    "    \"net_flow_qty_vol\",            # volatility of net flows\n",
-    "    \"n_tx_total\",                  # total number of transactions\n",
-    "]\n",
-    "\n",
-    "# Build X (drop NaNs/Infs)\n",
-    "X0 = (dfc0[features0]\n",
-    "     .replace([np.inf, -np.inf], np.nan)\n",
-    "     .dropna()\n",
-    "     .copy())\n",
-    "\n",
-    "# Keep IDs aligned\n",
-    "ids = dfc0.loc[X0.index, ID_COL].copy()\n",
-    "\n",
-    "# Standardize (critical for distance-based clustering)\n",
-    "scaler = StandardScaler()\n",
-    "X_scaled0 = scaler.fit_transform(X0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "id": "2ed912bd-040c-4436-9a9d-ae6bf7d9248f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Best K by silhouette: 5\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 1er clustering\n",
-    "\n",
-    "k_range = range(2, 21)\n",
-    "inertias = []\n",
-    "silhouettes = []\n",
-    "\n",
-    "for k in k_range:\n",
-    "    km = KMeans(n_clusters=k, n_init=30, random_state=42)\n",
-    "    labels = km.fit_predict(X_scaled0)\n",
-    "    inertias.append(km.inertia_)\n",
-    "    silhouettes.append(silhouette_score(X_scaled0, labels))\n",
-    "\n",
-    "# Elbow plot\n",
-    "plt.figure()\n",
-    "plt.plot(list(k_range), inertias, marker=\"o\")\n",
-    "plt.xlabel(\"Number of clusters K\")\n",
-    "plt.ylabel(\"Inertia (within-cluster SSE)\")\n",
-    "plt.title(\"Elbow curve for K-means\")\n",
-    "plt.show()\n",
-    "\n",
-    "# Silhouette plot\n",
-    "plt.figure()\n",
-    "plt.plot(list(k_range), silhouettes, marker=\"o\")\n",
-    "plt.xlabel(\"Number of clusters K\")\n",
-    "plt.ylabel(\"Silhouette score\")\n",
-    "plt.title(\"Silhouette score for K-means\")\n",
-    "plt.show()\n",
-    "\n",
-    "best_k = list(k_range)[int(np.argmax(silhouettes))]\n",
-    "print(\"Best K by silhouette:\", best_k)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
-   "id": "3e11d00c-da49-435e-b47e-964478061ed6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_med</th>\n",
-       "      <th>freq_med</th>\n",
-       "      <th>rel_int_med</th>\n",
-       "      <th>gross_flow_med</th>\n",
-       "      <th>n_tx_med</th>\n",
-       "      <th>vol_med</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_kmeans</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2.0</th>\n",
-       "      <td>235</td>\n",
-       "      <td>3.936071e+04</td>\n",
-       "      <td>0.986111</td>\n",
-       "      <td>4.136974</td>\n",
-       "      <td>2031.883965</td>\n",
-       "      <td>1069.0</td>\n",
-       "      <td>2.735326e+03</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1.0</th>\n",
-       "      <td>105</td>\n",
-       "      <td>4.528840e+05</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>4.651358</td>\n",
-       "      <td>28651.252789</td>\n",
-       "      <td>7585.0</td>\n",
-       "      <td>3.004524e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0.0</th>\n",
-       "      <td>66</td>\n",
-       "      <td>6.912599e+04</td>\n",
-       "      <td>0.109903</td>\n",
-       "      <td>1.632692</td>\n",
-       "      <td>2773.037334</td>\n",
-       "      <td>7.5</td>\n",
-       "      <td>1.080610e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4.0</th>\n",
-       "      <td>13</td>\n",
-       "      <td>4.783496e+04</td>\n",
-       "      <td>0.884615</td>\n",
-       "      <td>27.093690</td>\n",
-       "      <td>10629.415385</td>\n",
-       "      <td>1712.0</td>\n",
-       "      <td>1.876254e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3.0</th>\n",
-       "      <td>2</td>\n",
-       "      <td>1.470709e+07</td>\n",
-       "      <td>0.586207</td>\n",
-       "      <td>5.705179</td>\n",
-       "      <td>851698.564766</td>\n",
-       "      <td>2210.5</td>\n",
-       "      <td>3.218539e+06</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                n_clients   aum_qty_med  freq_med  rel_int_med  \\\n",
-       "cluster_kmeans                                                   \n",
-       "2.0                   235  3.936071e+04  0.986111     4.136974   \n",
-       "1.0                   105  4.528840e+05  1.000000     4.651358   \n",
-       "0.0                    66  6.912599e+04  0.109903     1.632692   \n",
-       "4.0                    13  4.783496e+04  0.884615    27.093690   \n",
-       "3.0                     2  1.470709e+07  0.586207     5.705179   \n",
-       "\n",
-       "                gross_flow_med  n_tx_med       vol_med  \n",
-       "cluster_kmeans                                          \n",
-       "2.0                2031.883965    1069.0  2.735326e+03  \n",
-       "1.0               28651.252789    7585.0  3.004524e+04  \n",
-       "0.0                2773.037334       7.5  1.080610e+04  \n",
-       "4.0               10629.415385    1712.0  1.876254e+04  \n",
-       "3.0              851698.564766    2210.5  3.218539e+06  "
-      ]
-     },
-     "execution_count": 75,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "km = KMeans(n_clusters=5, n_init=50, random_state=42)\n",
-    "labels_km = km.fit_predict(X_scaled0)\n",
-    "\n",
-    "dfc0.loc[X0.index, \"cluster_kmeans\"] = labels_km\n",
-    "\n",
-    "# Profiling table (medians = robust to outliers)\n",
-    "k_profile = (\n",
-    "    dfc0.loc[X0.index]\n",
-    "      .groupby(\"cluster_kmeans\")\n",
-    "      .agg(n_clients=(ID_COL, \"count\"),\n",
-    "          aum_qty_med=(\"aum_qty_mean\", \"median\"),\n",
-    "          freq_med=(\"frequency\", \"median\"),\n",
-    "          rel_int_med=(\"rel_intensity_total\", \"median\"),\n",
-    "          gross_flow_med=(\"gross_flow_qty_mean\", \"median\"),\n",
-    "          n_tx_med=(\"n_tx_total\", \"median\"),\n",
-    "          vol_med=(\"net_flow_qty_vol\", \"median\"),\n",
-    "          )\n",
-    "      .sort_values(\"n_clients\", ascending=False)\n",
-    ")\n",
-    "\n",
-    "k_profile"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 110,
-   "id": "a466c121-8932-45cd-bba0-ed1388af0e48",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Ajout de variables\n",
-    "\n",
-    "#external data projet-bdc-data /carmignac /Data Modélisation /Nav\n",
-    "PATH_NAV = \"s3://projet-bdc-data/carmignac/Data Modélisation/Nav/NAV_Bench_data.csv\" #C’est la table de valorisation / performance du produit.\n",
-    "PATH_RATES = \"s3://projet-bdc-data/carmignac/Data Modélisation/market data/esterRates.csv\"\n",
-    "\n",
-    "# optional competitors\n",
-    "PATH_COMP_FLOWS = \"s3://projet-bdc-data/carmignac/Data Modélisation/competitors/daily_estimated_flows.csv\"\n",
-    "PATH_COMP_PERF = \"s3://projet-bdc-data/carmignac/Data Modélisation/competitors/weekly_perf_full.csv\"\n",
-    "PATH_PEERS      = \"s3://projet-bdc-carmignac-g3/peers/CAD_peers.csv\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 111,
-   "id": "e0a0db5c-5e8d-423d-a3da-e5195b2a982c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df_nav = pd.read_csv(PATH_NAV, sep=\";\") \n",
-    "# Une base de suivi de performance de fonds dans le temps, \n",
-    "# Price (TF PartPrice) : prix de la part du fond\n",
-    "# AUM Eur (Assets Under Management) : Taille du fonds en euros\n",
-    "\n",
-    "df_rates = pd.read_csv(PATH_RATES,sep=\";\")\n",
-    "# df_rates : évolution dans le temps d’un taux de rendement obligataire (YTM)\n",
-    "\n",
-    "df_comp_flows = pd.read_csv(PATH_COMP_FLOWS,sep=\";\")\n",
-    "# Estimated Fund-level Net Flow (Daily) : Flux nets estimés du fonds\n",
-    "\n",
-    "df_comp_perf = pd.read_csv(PATH_COMP_PERF,sep=\";\")\n",
-    "# perfPeriod : Horizon de performance\n",
-    "# return : Performance du fonds sur la période donnée\n",
-    "# percentile : Position du fonds par rapport à ses pairs\n",
-    "# 0 → top performer\n",
-    "# 100 → mauvais performer\n",
-    "\n",
-    "df_peers = pd.read_csv(PATH_PEERS,sep=\"|\")\n",
-    "# Global Broad Category Group : grande classe d’actifs\n",
-    "# Global Category : catégorie plus précise et Morningstar Category\n",
-    "# Index Fund : fonds indiciel (passif)\n",
-    "# Enhanced Index → quasi-passif (légère surperformance recherchée)\n",
-    "# Inception Date → date de création de la part\n",
-    "# Inception Date of Fund's Oldest Share Class → âge réel du fonds\n",
-    "# Domicile : pays de domiciliation du fonds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 112,
-   "id": "018abf7e-f15c-46e4-9625-028e7df6791d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ID_COL = \"Registrar Account - ID\"\n",
-    "ISIN_COL = \"Product - Isin\"\n",
-    "\n",
-    "FLOW_DATE_COL = \"Centralisation Date\"\n",
-    "AUM_DATE_COL = \"Centralisation Date\"\n",
-    "\n",
-    "FLOW_QTY_COL = \"Quantity - NetFlows\"\n",
-    "FLOW_SUB_COL = \"Quantity - Subscription\"\n",
-    "FLOW_RED_COL = \"Quantity - Redemption\"\n",
-    "\n",
-    "AUM_QTY_COL = \"Quantity - AUM\"\n",
-    "AUM_VAL_COL = \"Value - AUM €\"\n",
-    "\n",
-    "REGION_COL = \"Registrar Account - Region\"\n",
-    "COUNTRY_COL = \"RegistrarAccount - Country\"\n",
-    "\n",
-    "NAV_DATE_COL = \"Dat\"\n",
-    "NAV_ISIN_COL = \"Isin\"\n",
-    "NAV_PRICE_COL = \"Price (TF PartPrice)\"\n",
-    "NAV_BENCH_COL = \"PriceBench\"\n",
-    "\n",
-    "RATE_DATE_COL = \"Date\"\n",
-    "RATE_VAL_COL = \"Yld to Maturity\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 113,
-   "id": "51fdab3a-6f53-4042-8530-f91030134318",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for df, date_col in [\n",
-    "    (df_flows, FLOW_DATE_COL),\n",
-    "    (df_aum, AUM_DATE_COL),\n",
-    "    (df_nav, NAV_DATE_COL),\n",
-    "    (df_rates, RATE_DATE_COL),\n",
-    "]:\n",
-    "    df[date_col] = pd.to_datetime(df[date_col], errors=\"coerce\")\n",
-    "\n",
-    "df_flows[\"month\"] = df_flows[FLOW_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_aum[\"month\"] = df_aum[AUM_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_nav[\"month\"] = df_nav[NAV_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_rates[\"month\"] = df_rates[RATE_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "\n",
-    "for col in [FLOW_QTY_COL, FLOW_SUB_COL, FLOW_RED_COL]:\n",
-    "    df_flows[col] = pd.to_numeric(df_flows[col], errors=\"coerce\")\n",
-    "\n",
-    "for col in [AUM_QTY_COL, AUM_VAL_COL]:\n",
-    "    df_aum[col] = pd.to_numeric(df_aum[col], errors=\"coerce\")\n",
-    "\n",
-    "for col in [NAV_PRICE_COL, NAV_BENCH_COL]:\n",
-    "    df_nav[col] = pd.to_numeric(df_nav[col], errors=\"coerce\")\n",
-    "\n",
-    "df_rates[RATE_VAL_COL] = pd.to_numeric(df_rates[RATE_VAL_COL], errors=\"coerce\")\n",
-    "\n",
-    "for df, col in [(df_flows, ISIN_COL), (df_aum, ISIN_COL)]:\n",
-    "    df[col] = df[col].astype(str).str.strip()\n",
-    "\n",
-    "df_nav[NAV_ISIN_COL] = df_nav[NAV_ISIN_COL].astype(str).str.strip()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 114,
-   "id": "da8e1811-88a6-459f-8350-42ae4d394c26",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(701064, 18)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>aum_val</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>sub_qty</th>\n",
-       "      <th>red_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "      <th>region_flow</th>\n",
-       "      <th>country_flow</th>\n",
-       "      <th>active_rel_month</th>\n",
-       "      <th>holding_rel_month</th>\n",
-       "      <th>flow_to_aum_rel</th>\n",
-       "      <th>turnover_rel</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>49094.915</td>\n",
-       "      <td>3.242523e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>673.990</td>\n",
-       "      <td>956.01</td>\n",
-       "      <td>859.990</td>\n",
-       "      <td>-186.000</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.013728</td>\n",
-       "      <td>0.019473</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>49797.915</td>\n",
-       "      <td>3.368032e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>988.000</td>\n",
-       "      <td>1712.00</td>\n",
-       "      <td>1350.000</td>\n",
-       "      <td>-362.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.019840</td>\n",
-       "      <td>0.034379</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>50302.627</td>\n",
-       "      <td>3.505691e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>9.710</td>\n",
-       "      <td>1447.71</td>\n",
-       "      <td>785.710</td>\n",
-       "      <td>-776.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000193</td>\n",
-       "      <td>0.028780</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>50219.393</td>\n",
-       "      <td>3.452433e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>-123.234</td>\n",
-       "      <td>1708.19</td>\n",
-       "      <td>853.478</td>\n",
-       "      <td>-976.712</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.002454</td>\n",
-       "      <td>0.034015</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>53685.393</td>\n",
-       "      <td>3.699729e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>121.000</td>\n",
-       "      <td>529.00</td>\n",
-       "      <td>325.000</td>\n",
-       "      <td>-204.000</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.002254</td>\n",
-       "      <td>0.009854</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID Product - Isin      month    aum_qty       aum_val  \\\n",
-       "0                  18872   FR0010135103 2015-01-31  49094.915  3.242523e+07   \n",
-       "1                  18872   FR0010135103 2015-02-28  49797.915  3.368032e+07   \n",
-       "2                  18872   FR0010135103 2015-03-31  50302.627  3.505691e+07   \n",
-       "3                  18872   FR0010135103 2015-04-30  50219.393  3.452433e+07   \n",
-       "4                  18872   FR0010135103 2015-05-31  53685.393  3.699729e+07   \n",
-       "\n",
-       "        region      country  net_flow_qty  gross_flow_qty   sub_qty  red_qty  \\\n",
-       "0  Switzerland  Switzerland       673.990          956.01   859.990 -186.000   \n",
-       "1  Switzerland  Switzerland       988.000         1712.00  1350.000 -362.000   \n",
-       "2  Switzerland  Switzerland         9.710         1447.71   785.710 -776.000   \n",
-       "3  Switzerland  Switzerland      -123.234         1708.19   853.478 -976.712   \n",
-       "4  Switzerland  Switzerland       121.000          529.00   325.000 -204.000   \n",
-       "\n",
-       "   n_tx  region_flow country_flow  active_rel_month  holding_rel_month  \\\n",
-       "0   9.0  Switzerland  Switzerland                 1                  1   \n",
-       "1  12.0  Switzerland  Switzerland                 1                  1   \n",
-       "2  12.0  Switzerland  Switzerland                 1                  1   \n",
-       "3  11.0  Switzerland  Switzerland                 1                  1   \n",
-       "4   6.0  Switzerland  Switzerland                 1                  1   \n",
-       "\n",
-       "   flow_to_aum_rel  turnover_rel  \n",
-       "0         0.013728      0.019473  \n",
-       "1         0.019840      0.034379  \n",
-       "2         0.000193      0.028780  \n",
-       "3        -0.002454      0.034015  \n",
-       "4         0.002254      0.009854  "
-      ]
-     },
-     "execution_count": 114,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "'''On veut s’assurer que l’univers des produits Carmignac détenus par les clients est bien cohérent avec l’univers des NAV \n",
-    "utilisés pour calculer les performances.'''\n",
-    "\n",
-    "#pour merge flux et aum c est un full\n",
-    "'''\n",
-    "Si un mois existe :\n",
-    "dans les flux mais pas dans les encours → la clé est gardée\n",
-    "dans les encours mais pas dans les flux → la clé est gardée\n",
-    "dans les deux → une seule ligne de clé\n",
-    "👉 C’est donc une logique proche d’un full outer join, mais construite manuellement.\n",
-    "'''\n",
-    "df_flows_rel_m = (\n",
-    "    df_flows\n",
-    "    .dropna(subset=[ID_COL, ISIN_COL, \"month\"])\n",
-    "    .assign(\n",
-    "        gross_flow_qty=lambda x: x[FLOW_QTY_COL].abs(),\n",
-    "        sub_qty=lambda x: x[FLOW_SUB_COL].fillna(0),\n",
-    "        red_qty=lambda x: x[FLOW_RED_COL].fillna(0)\n",
-    "    )\n",
-    "    .groupby([ID_COL, ISIN_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        net_flow_qty=(FLOW_QTY_COL, \"sum\"),\n",
-    "        gross_flow_qty=(\"gross_flow_qty\", \"sum\"),\n",
-    "        sub_qty=(\"sub_qty\", \"sum\"),\n",
-    "        red_qty=(\"red_qty\", \"sum\"),\n",
-    "        n_tx=(FLOW_QTY_COL, \"size\"),\n",
-    "        region=(REGION_COL, \"last\"),\n",
-    "        country=(COUNTRY_COL, \"last\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_aum_rel_m = (\n",
-    "    df_aum\n",
-    "    .dropna(subset=[ID_COL, ISIN_COL, \"month\"])\n",
-    "    .groupby([ID_COL, ISIN_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        aum_qty=(AUM_QTY_COL, \"sum\"),\n",
-    "        aum_val=(AUM_VAL_COL, \"sum\"),\n",
-    "        region=(REGION_COL, \"last\"),\n",
-    "        country=(COUNTRY_COL, \"last\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "keys = pd.concat([\n",
-    "    df_flows_rel_m[[ID_COL, ISIN_COL, \"month\"]],\n",
-    "    df_aum_rel_m[[ID_COL, ISIN_COL, \"month\"]]\n",
-    "]).drop_duplicates()\n",
-    "\n",
-    "df_rel_m = (\n",
-    "    keys\n",
-    "    .merge(df_aum_rel_m, on=[ID_COL, ISIN_COL, \"month\"], how=\"left\", suffixes=(\"\", \"_aum\"))\n",
-    "    .merge(df_flows_rel_m, on=[ID_COL, ISIN_COL, \"month\"], how=\"left\", suffixes=(\"\", \"_flow\"))\n",
-    ")\n",
-    "\n",
-    "for c in [\"aum_qty\", \"aum_val\", \"net_flow_qty\", \"gross_flow_qty\", \"sub_qty\", \"red_qty\", \"n_tx\"]:\n",
-    "    df_rel_m[c] = df_rel_m[c].fillna(0)\n",
-    "\n",
-    "df_rel_m[\"region\"] = df_rel_m[\"region\"].fillna(df_rel_m.get(\"region_flow\"))\n",
-    "df_rel_m[\"country\"] = df_rel_m[\"country\"].fillna(df_rel_m.get(\"country_flow\"))\n",
-    "\n",
-    "df_rel_m[\"active_rel_month\"] = (df_rel_m[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "df_rel_m[\"holding_rel_month\"] = (df_rel_m[\"aum_qty\"] > 0).astype(int)\n",
-    "df_rel_m[\"flow_to_aum_rel\"] = df_rel_m[\"net_flow_qty\"] / (df_rel_m[\"aum_qty\"].abs() + EPS)\n",
-    "df_rel_m[\"turnover_rel\"] = df_rel_m[\"gross_flow_qty\"] / (df_rel_m[\"aum_qty\"].abs() + EPS)\n",
-    "\n",
-    "print(df_rel_m.shape)\n",
-    "df_rel_m.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 115,
-   "id": "1815017e-d787-407b-b810-4d48b6f81c58",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>aum_val</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>sub_qty</th>\n",
-       "      <th>red_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "      <th>region_flow</th>\n",
-       "      <th>country_flow</th>\n",
-       "      <th>active_rel_month</th>\n",
-       "      <th>holding_rel_month</th>\n",
-       "      <th>flow_to_aum_rel</th>\n",
-       "      <th>turnover_rel</th>\n",
-       "      <th>ret_fund_m</th>\n",
-       "      <th>ret_bench_m</th>\n",
-       "      <th>active_return_m</th>\n",
-       "      <th>delta_rate_m</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>49094.915</td>\n",
-       "      <td>3.242523e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>673.990</td>\n",
-       "      <td>956.01</td>\n",
-       "      <td>859.990</td>\n",
-       "      <td>-186.000</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.013728</td>\n",
-       "      <td>0.019473</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.058</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>49797.915</td>\n",
-       "      <td>3.368032e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>988.000</td>\n",
-       "      <td>1712.00</td>\n",
-       "      <td>1350.000</td>\n",
-       "      <td>-362.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.019840</td>\n",
-       "      <td>0.034379</td>\n",
-       "      <td>0.121368</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.022</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>50302.627</td>\n",
-       "      <td>3.505691e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>9.710</td>\n",
-       "      <td>1447.71</td>\n",
-       "      <td>785.710</td>\n",
-       "      <td>-776.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000193</td>\n",
-       "      <td>0.028780</td>\n",
-       "      <td>0.068598</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.014</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>50219.393</td>\n",
-       "      <td>3.452433e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>-123.234</td>\n",
-       "      <td>1708.19</td>\n",
-       "      <td>853.478</td>\n",
-       "      <td>-976.712</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.002454</td>\n",
-       "      <td>0.034015</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.077</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>53685.393</td>\n",
-       "      <td>3.699729e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>121.000</td>\n",
-       "      <td>529.00</td>\n",
-       "      <td>325.000</td>\n",
-       "      <td>-204.000</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.002254</td>\n",
-       "      <td>0.009854</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.053</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID Product - Isin      month    aum_qty       aum_val  \\\n",
-       "0                  18872   FR0010135103 2015-01-31  49094.915  3.242523e+07   \n",
-       "1                  18872   FR0010135103 2015-02-28  49797.915  3.368032e+07   \n",
-       "2                  18872   FR0010135103 2015-03-31  50302.627  3.505691e+07   \n",
-       "3                  18872   FR0010135103 2015-04-30  50219.393  3.452433e+07   \n",
-       "4                  18872   FR0010135103 2015-05-31  53685.393  3.699729e+07   \n",
-       "\n",
-       "        region      country  net_flow_qty  gross_flow_qty   sub_qty  red_qty  \\\n",
-       "0  Switzerland  Switzerland       673.990          956.01   859.990 -186.000   \n",
-       "1  Switzerland  Switzerland       988.000         1712.00  1350.000 -362.000   \n",
-       "2  Switzerland  Switzerland         9.710         1447.71   785.710 -776.000   \n",
-       "3  Switzerland  Switzerland      -123.234         1708.19   853.478 -976.712   \n",
-       "4  Switzerland  Switzerland       121.000          529.00   325.000 -204.000   \n",
-       "\n",
-       "   n_tx  region_flow country_flow  active_rel_month  holding_rel_month  \\\n",
-       "0   9.0  Switzerland  Switzerland                 1                  1   \n",
-       "1  12.0  Switzerland  Switzerland                 1                  1   \n",
-       "2  12.0  Switzerland  Switzerland                 1                  1   \n",
-       "3  11.0  Switzerland  Switzerland                 1                  1   \n",
-       "4   6.0  Switzerland  Switzerland                 1                  1   \n",
-       "\n",
-       "   flow_to_aum_rel  turnover_rel  ret_fund_m  ret_bench_m  active_return_m  \\\n",
-       "0         0.013728      0.019473    0.000000          0.0              0.0   \n",
-       "1         0.019840      0.034379    0.121368          0.0              0.0   \n",
-       "2         0.000193      0.028780    0.068598          0.0              0.0   \n",
-       "3        -0.002454      0.034015    0.000000          0.0              0.0   \n",
-       "4         0.002254      0.009854    0.000000          0.0              0.0   \n",
-       "\n",
-       "   delta_rate_m  \n",
-       "0        -0.058  \n",
-       "1        -0.022  \n",
-       "2        -0.014  \n",
-       "3        -0.077  \n",
-       "4        -0.053  "
-      ]
-     },
-     "execution_count": 115,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Ajout\n",
-    "\n",
-    "df_nav_m = (\n",
-    "    df_nav\n",
-    "    .dropna(subset=[NAV_ISIN_COL, \"month\", NAV_PRICE_COL])\n",
-    "    .sort_values([NAV_ISIN_COL, \"month\"])\n",
-    "    .groupby([NAV_ISIN_COL, \"month\"], as_index=False)\n",
-    "    .tail(1)\n",
-    "    .copy()\n",
-    ")\n",
-    "\n",
-    "df_nav_m[\"ret_fund_m\"] = df_nav_m.groupby(NAV_ISIN_COL)[NAV_PRICE_COL].pct_change()\n",
-    "df_nav_m[\"ret_bench_m\"] = df_nav_m.groupby(NAV_ISIN_COL)[NAV_BENCH_COL].pct_change()\n",
-    "df_nav_m[\"active_return_m\"] = df_nav_m[\"ret_fund_m\"] - df_nav_m[\"ret_bench_m\"]\n",
-    "\n",
-    "df_nav_m = df_nav_m.rename(columns={NAV_ISIN_COL: ISIN_COL})\n",
-    "df_nav_m = df_nav_m[[ISIN_COL, \"month\", \"ret_fund_m\", \"ret_bench_m\", \"active_return_m\"]]\n",
-    "\n",
-    "df_rates_m = (\n",
-    "    df_rates\n",
-    "    .dropna(subset=[\"month\", RATE_VAL_COL])\n",
-    "    .sort_values(RATE_DATE_COL)\n",
-    "    .groupby(\"month\", as_index=False)\n",
-    "    .tail(1)\n",
-    "    .copy()\n",
-    ")\n",
-    "\n",
-    "df_rates_m[\"delta_rate_m\"] = df_rates_m[RATE_VAL_COL].diff()\n",
-    "df_rates_m = df_rates_m[[\"month\", RATE_VAL_COL, \"delta_rate_m\"]]\n",
-    "\n",
-    "\n",
-    "        \n",
-    "df_rel_m = df_rel_m.merge(\n",
-    "    df_nav_m,\n",
-    "    on=[ISIN_COL, \"month\"],\n",
-    "    how=\"left\"\n",
-    ")\n",
-    "\n",
-    "df_rel_m = df_rel_m.merge(\n",
-    "    df_rates_m[[\"month\", \"delta_rate_m\"]],\n",
-    "    on=\"month\",\n",
-    "    how=\"left\"\n",
-    ")\n",
-    "\n",
-    "for c in [\"ret_fund_m\", \"ret_bench_m\", \"active_return_m\", \"delta_rate_m\"]:\n",
-    "    df_rel_m[c] = df_rel_m[c].fillna(0)\n",
-    "\n",
-    "df_rel_m.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 281,
-   "id": "a5ef77fe-31d3-4cb2-b8dd-19297b804f8d",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(34486, 23)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>aum_val</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>sub_qty</th>\n",
-       "      <th>red_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "      <th>n_isin_held</th>\n",
-       "      <th>n_isin_active</th>\n",
-       "      <th>delta_rate_m</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>ret_fund_m</th>\n",
-       "      <th>ret_bench_m</th>\n",
-       "      <th>active_month</th>\n",
-       "      <th>flow_to_aum_m</th>\n",
-       "      <th>turnover_m</th>\n",
-       "      <th>sub_share_m</th>\n",
-       "      <th>red_share_m</th>\n",
-       "      <th>aum_peak_to_date</th>\n",
-       "      <th>aum_drawdown</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>179864.637</td>\n",
-       "      <td>7.043266e+07</td>\n",
-       "      <td>-1524.010</td>\n",
-       "      <td>15230.010</td>\n",
-       "      <td>6897.990</td>\n",
-       "      <td>-8422.000</td>\n",
-       "      <td>32.0</td>\n",
-       "      <td>29</td>\n",
-       "      <td>13</td>\n",
-       "      <td>-0.058</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.016384</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.008473</td>\n",
-       "      <td>0.084675</td>\n",
-       "      <td>0.452921</td>\n",
-       "      <td>-0.552987</td>\n",
-       "      <td>179864.637</td>\n",
-       "      <td>5.551115e-15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>186761.736</td>\n",
-       "      <td>7.317400e+07</td>\n",
-       "      <td>7247.100</td>\n",
-       "      <td>18571.880</td>\n",
-       "      <td>13219.490</td>\n",
-       "      <td>-5972.390</td>\n",
-       "      <td>38.0</td>\n",
-       "      <td>29</td>\n",
-       "      <td>13</td>\n",
-       "      <td>-0.022</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.036066</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.038804</td>\n",
-       "      <td>0.099442</td>\n",
-       "      <td>0.711801</td>\n",
-       "      <td>-0.321582</td>\n",
-       "      <td>186761.736</td>\n",
-       "      <td>5.329071e-15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>190357.718</td>\n",
-       "      <td>7.653007e+07</td>\n",
-       "      <td>3655.380</td>\n",
-       "      <td>9754.040</td>\n",
-       "      <td>6767.710</td>\n",
-       "      <td>-3112.330</td>\n",
-       "      <td>47.0</td>\n",
-       "      <td>29</td>\n",
-       "      <td>14</td>\n",
-       "      <td>-0.014</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.037925</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.019203</td>\n",
-       "      <td>0.051241</td>\n",
-       "      <td>0.693837</td>\n",
-       "      <td>-0.319081</td>\n",
-       "      <td>190357.718</td>\n",
-       "      <td>5.218048e-15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>191429.324</td>\n",
-       "      <td>7.509285e+07</td>\n",
-       "      <td>-218.394</td>\n",
-       "      <td>12840.950</td>\n",
-       "      <td>6384.278</td>\n",
-       "      <td>-6602.672</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>29</td>\n",
-       "      <td>13</td>\n",
-       "      <td>-0.077</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.046378</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.001141</td>\n",
-       "      <td>0.067079</td>\n",
-       "      <td>0.497181</td>\n",
-       "      <td>-0.514189</td>\n",
-       "      <td>191429.324</td>\n",
-       "      <td>5.218048e-15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>189056.475</td>\n",
-       "      <td>7.650176e+07</td>\n",
-       "      <td>-4782.849</td>\n",
-       "      <td>6332.849</td>\n",
-       "      <td>775.000</td>\n",
-       "      <td>-5557.849</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>29</td>\n",
-       "      <td>9</td>\n",
-       "      <td>-0.053</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.000093</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.025299</td>\n",
-       "      <td>0.033497</td>\n",
-       "      <td>0.122378</td>\n",
-       "      <td>-0.877622</td>\n",
-       "      <td>191429.324</td>\n",
-       "      <td>1.239543e-02</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID      month     aum_qty       aum_val  net_flow_qty  \\\n",
-       "0                  18872 2015-01-31  179864.637  7.043266e+07     -1524.010   \n",
-       "1                  18872 2015-02-28  186761.736  7.317400e+07      7247.100   \n",
-       "2                  18872 2015-03-31  190357.718  7.653007e+07      3655.380   \n",
-       "3                  18872 2015-04-30  191429.324  7.509285e+07      -218.394   \n",
-       "4                  18872 2015-05-31  189056.475  7.650176e+07     -4782.849   \n",
-       "\n",
-       "   gross_flow_qty    sub_qty   red_qty  n_tx  n_isin_held  n_isin_active  \\\n",
-       "0       15230.010   6897.990 -8422.000  32.0           29             13   \n",
-       "1       18571.880  13219.490 -5972.390  38.0           29             13   \n",
-       "2        9754.040   6767.710 -3112.330  47.0           29             14   \n",
-       "3       12840.950   6384.278 -6602.672  39.0           29             13   \n",
-       "4        6332.849    775.000 -5557.849  24.0           29              9   \n",
-       "\n",
-       "   delta_rate_m       region      country  ret_fund_m  ret_bench_m  \\\n",
-       "0        -0.058  Switzerland  Switzerland    0.016384          0.0   \n",
-       "1        -0.022  Switzerland  Switzerland    0.036066          0.0   \n",
-       "2        -0.014  Switzerland  Switzerland    0.037925          0.0   \n",
-       "3        -0.077  Switzerland  Switzerland    0.046378          0.0   \n",
-       "4        -0.053  Switzerland  Switzerland    0.000093          0.0   \n",
-       "\n",
-       "   active_month  flow_to_aum_m  turnover_m  sub_share_m  red_share_m  \\\n",
-       "0             1      -0.008473    0.084675     0.452921    -0.552987   \n",
-       "1             1       0.038804    0.099442     0.711801    -0.321582   \n",
-       "2             1       0.019203    0.051241     0.693837    -0.319081   \n",
-       "3             1      -0.001141    0.067079     0.497181    -0.514189   \n",
-       "4             1      -0.025299    0.033497     0.122378    -0.877622   \n",
-       "\n",
-       "   aum_peak_to_date  aum_drawdown  \n",
-       "0        179864.637  5.551115e-15  \n",
-       "1        186761.736  5.329071e-15  \n",
-       "2        190357.718  5.218048e-15  \n",
-       "3        191429.324  5.218048e-15  \n",
-       "4        191429.324  1.239543e-02  "
-      ]
-     },
-     "execution_count": 281,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Données agrégées sur les ISIN\n",
-    "\n",
-    "# =========================\n",
-    "# ULTRA LIGHT VERSION\n",
-    "# =========================\n",
-    "\n",
-    "tmp = df_rel_m.copy()\n",
-    "tmp[\"isin_held_flag\"] = (tmp[\"aum_qty\"] > 0).astype(int)\n",
-    "tmp[\"isin_active_flag\"] = (tmp[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "\n",
-    "tmp[\"aum_total\"] = tmp.groupby([ID_COL, \"month\"])[\"aum_qty\"].transform(\"sum\")\n",
-    "tmp[\"w\"] = tmp[\"aum_qty\"] / (tmp[\"aum_total\"] + 1e-12)\n",
-    "tmp[\"ret_fund_w\"] = tmp[\"w\"] * tmp[\"ret_fund_m\"]\n",
-    "tmp[\"ret_bench_w\"] = tmp[\"w\"] * tmp[\"ret_bench_m\"]\n",
-    "\n",
-    "df_month = (\n",
-    "    tmp.groupby([ID_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        aum_qty=(\"aum_qty\", \"sum\"),\n",
-    "        aum_val=(\"aum_val\", \"sum\"),\n",
-    "        net_flow_qty=(\"net_flow_qty\", \"sum\"),\n",
-    "        gross_flow_qty=(\"gross_flow_qty\", \"sum\"),\n",
-    "        sub_qty=(\"sub_qty\", \"sum\"),\n",
-    "        red_qty=(\"red_qty\", \"sum\"),\n",
-    "        n_tx=(\"n_tx\", \"sum\"),\n",
-    "        n_isin_held=(\"isin_held_flag\", \"sum\"),\n",
-    "        n_isin_active=(\"isin_active_flag\", \"sum\"),\n",
-    "        delta_rate_m=(\"delta_rate_m\", \"first\"),\n",
-    "        region=(\"region\", \"first\"),\n",
-    "        country=(\"country\", \"first\"),\n",
-    "        ret_fund_m=(\"ret_fund_w\", \"sum\"),\n",
-    "        ret_bench_m=(\"ret_bench_w\", \"sum\")\n",
-    "    )\n",
-    "    .sort_values([ID_COL, \"month\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")\n",
-    "\n",
-    "\n",
-    "df_month[\"active_month\"] = (df_month[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "df_month[\"flow_to_aum_m\"] = df_month[\"net_flow_qty\"] / (df_month[\"aum_qty\"].abs() + EPS)\n",
-    "df_month[\"turnover_m\"] = df_month[\"gross_flow_qty\"] / (df_month[\"aum_qty\"].abs() + EPS)\n",
-    "df_month[\"sub_share_m\"] = df_month[\"sub_qty\"] / (df_month[\"gross_flow_qty\"] + EPS)\n",
-    "df_month[\"red_share_m\"] = df_month[\"red_qty\"] / (df_month[\"gross_flow_qty\"] + EPS)\n",
-    "\n",
-    "df_month[\"aum_peak_to_date\"] = df_month.groupby(ID_COL)[\"aum_qty\"].cummax()\n",
-    "df_month[\"aum_drawdown\"] = 1 - (df_month[\"aum_qty\"] / (df_month[\"aum_peak_to_date\"] + EPS))\n",
-    "df_month = df_month[df_month[\"month\"] <= '2025-10-31']\n",
-    "print(df_month.shape)\n",
-    "df_month.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 282,
-   "id": "6153ffef-6b83-4af9-98f2-b18e8f5d3dbb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>rel_n_months</th>\n",
-       "      <th>rel_active_months</th>\n",
-       "      <th>rel_holding_months</th>\n",
-       "      <th>rel_aum_mean</th>\n",
-       "      <th>rel_turnover_mean</th>\n",
-       "      <th>rel_turnover_vol</th>\n",
-       "      <th>rel_flow_to_aum_vol</th>\n",
-       "      <th>rel_n_tx</th>\n",
-       "      <th>rel_full_exit_count</th>\n",
-       "      <th>rel_entry_count</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>130</td>\n",
-       "      <td>91</td>\n",
-       "      <td>130</td>\n",
-       "      <td>15174.558362</td>\n",
-       "      <td>3.317824e-02</td>\n",
-       "      <td>5.976183e-02</td>\n",
-       "      <td>6.076097e-02</td>\n",
-       "      <td>382.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010147603</td>\n",
-       "      <td>80</td>\n",
-       "      <td>8</td>\n",
-       "      <td>63</td>\n",
-       "      <td>891.837500</td>\n",
-       "      <td>3.750000e+09</td>\n",
-       "      <td>3.354102e+10</td>\n",
-       "      <td>3.354102e+10</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010148981</td>\n",
-       "      <td>130</td>\n",
-       "      <td>66</td>\n",
-       "      <td>130</td>\n",
-       "      <td>2759.100492</td>\n",
-       "      <td>1.870291e-02</td>\n",
-       "      <td>4.154345e-02</td>\n",
-       "      <td>4.333886e-02</td>\n",
-       "      <td>149.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010149112</td>\n",
-       "      <td>80</td>\n",
-       "      <td>12</td>\n",
-       "      <td>50</td>\n",
-       "      <td>2321.171212</td>\n",
-       "      <td>2.750000e+09</td>\n",
-       "      <td>1.815719e+10</td>\n",
-       "      <td>1.815719e+10</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010149120</td>\n",
-       "      <td>130</td>\n",
-       "      <td>79</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1778.918100</td>\n",
-       "      <td>6.219999e-02</td>\n",
-       "      <td>1.813014e-01</td>\n",
-       "      <td>1.801645e-01</td>\n",
-       "      <td>152.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID Product - Isin  rel_n_months  rel_active_months  \\\n",
-       "0                  18872   FR0010135103           130                 91   \n",
-       "1                  18872   FR0010147603            80                  8   \n",
-       "2                  18872   FR0010148981           130                 66   \n",
-       "3                  18872   FR0010149112            80                 12   \n",
-       "4                  18872   FR0010149120           130                 79   \n",
-       "\n",
-       "   rel_holding_months  rel_aum_mean  rel_turnover_mean  rel_turnover_vol  \\\n",
-       "0                 130  15174.558362       3.317824e-02      5.976183e-02   \n",
-       "1                  63    891.837500       3.750000e+09      3.354102e+10   \n",
-       "2                 130   2759.100492       1.870291e-02      4.154345e-02   \n",
-       "3                  50   2321.171212       2.750000e+09      1.815719e+10   \n",
-       "4                 130   1778.918100       6.219999e-02      1.813014e-01   \n",
-       "\n",
-       "   rel_flow_to_aum_vol  rel_n_tx  rel_full_exit_count  rel_entry_count  \n",
-       "0         6.076097e-02     382.0                    0                1  \n",
-       "1         3.354102e+10       9.0                    1                1  \n",
-       "2         4.333886e-02     149.0                    0                1  \n",
-       "3         1.815719e+10      13.0                    2                2  \n",
-       "4         1.801645e-01     152.0                    0                1  "
-      ]
-     },
-     "execution_count": 282,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Données agrégées sur les mois\n",
-    "tmp = df_rel_m.sort_values([ID_COL, ISIN_COL, \"month\"]).copy()\n",
-    "tmp[\"prev_aum\"] = tmp.groupby([ID_COL, ISIN_COL])[\"aum_qty\"].shift(1)\n",
-    "tmp[\"full_exit_event\"] = ((tmp[\"prev_aum\"] > 0) & (tmp[\"aum_qty\"] <= 0)).astype(int)\n",
-    "tmp[\"entry_event\"] = ((tmp[\"prev_aum\"].fillna(0) <= 0) & (tmp[\"aum_qty\"] > 0)).astype(int)\n",
-    "\n",
-    "df_rel_feat = (\n",
-    "    tmp.groupby([ID_COL, ISIN_COL], as_index=False)\n",
-    "    .agg(\n",
-    "        rel_n_months=(\"month\", \"nunique\"),\n",
-    "        rel_active_months=(\"active_rel_month\", \"sum\"),\n",
-    "        rel_holding_months=(\"holding_rel_month\", \"sum\"),\n",
-    "        rel_aum_mean=(\"aum_qty\", \"mean\"),\n",
-    "        rel_turnover_mean=(\"turnover_rel\", \"mean\"),\n",
-    "        rel_turnover_vol=(\"turnover_rel\", \"std\"),\n",
-    "        rel_flow_to_aum_vol=(\"flow_to_aum_rel\", \"std\"),\n",
-    "        rel_n_tx=(\"n_tx\", \"sum\"),\n",
-    "        rel_full_exit_count=(\"full_exit_event\", \"sum\"),\n",
-    "        rel_entry_count=(\"entry_event\", \"sum\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_rel_feat.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 283,
-   "id": "b598f097-4d34-4922-88ac-f524078b3102",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(431, 40)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>n_months</th>\n",
-       "      <th>n_active_months</th>\n",
-       "      <th>flow_freq</th>\n",
-       "      <th>aum_qty_mean</th>\n",
-       "      <th>aum_qty_median</th>\n",
-       "      <th>aum_qty_max</th>\n",
-       "      <th>aum_qty_last</th>\n",
-       "      <th>net_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_mean</th>\n",
-       "      <th>n_tx_total</th>\n",
-       "      <th>net_flow_vol</th>\n",
-       "      <th>turnover_mean</th>\n",
-       "      <th>turnover_vol</th>\n",
-       "      <th>flow_to_aum_mean</th>\n",
-       "      <th>flow_to_aum_vol</th>\n",
-       "      <th>avg_n_isin_held</th>\n",
-       "      <th>max_n_isin_held</th>\n",
-       "      <th>sub_share_mean</th>\n",
-       "      <th>red_share_mean</th>\n",
-       "      <th>delta_rate_mean</th>\n",
-       "      <th>aum_drawdown_last</th>\n",
-       "      <th>aum_drawdown_max</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>n_isin_total</th>\n",
-       "      <th>rel_turnover_mean_avg</th>\n",
-       "      <th>rel_turnover_vol_avg</th>\n",
-       "      <th>rel_flow_to_aum_vol_avg</th>\n",
-       "      <th>full_exit_count</th>\n",
-       "      <th>entry_count</th>\n",
-       "      <th>avg_holding_months_per_isin</th>\n",
-       "      <th>max_holding_months_per_isin</th>\n",
-       "      <th>corr_flow_fund_lag3</th>\n",
-       "      <th>corr_flow_fund_lag6</th>\n",
-       "      <th>corr_flow_bench_lag3</th>\n",
-       "      <th>corr_flow_bench_lag6</th>\n",
-       "      <th>corr_flow_rate_lag3</th>\n",
-       "      <th>corr_flow_rate_lag6</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>143505.697354</td>\n",
-       "      <td>144653.1645</td>\n",
-       "      <td>211049.3200</td>\n",
-       "      <td>166752.2080</td>\n",
-       "      <td>-45677.1480</td>\n",
-       "      <td>1.244126e+06</td>\n",
-       "      <td>9570.200015</td>\n",
-       "      <td>1926.0</td>\n",
-       "      <td>9832.357264</td>\n",
-       "      <td>0.069449</td>\n",
-       "      <td>0.072727</td>\n",
-       "      <td>-0.003918</td>\n",
-       "      <td>0.074207</td>\n",
-       "      <td>39.669231</td>\n",
-       "      <td>50</td>\n",
-       "      <td>0.429844</td>\n",
-       "      <td>-0.576520</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>2.098899e-01</td>\n",
-       "      <td>0.715200</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>108</td>\n",
-       "      <td>1.583591e+10</td>\n",
-       "      <td>1.157253e+11</td>\n",
-       "      <td>1.157601e+11</td>\n",
-       "      <td>86</td>\n",
-       "      <td>126</td>\n",
-       "      <td>47.750000</td>\n",
-       "      <td>130</td>\n",
-       "      <td>0.164687</td>\n",
-       "      <td>0.091805</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.125209</td>\n",
-       "      <td>-0.133345</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>200000076</td>\n",
-       "      <td>130</td>\n",
-       "      <td>119</td>\n",
-       "      <td>0.915385</td>\n",
-       "      <td>24141.541138</td>\n",
-       "      <td>19888.8255</td>\n",
-       "      <td>69211.1070</td>\n",
-       "      <td>69211.1070</td>\n",
-       "      <td>54791.9840</td>\n",
-       "      <td>2.314415e+05</td>\n",
-       "      <td>1780.319492</td>\n",
-       "      <td>518.0</td>\n",
-       "      <td>2838.000232</td>\n",
-       "      <td>0.083230</td>\n",
-       "      <td>0.138485</td>\n",
-       "      <td>-0.000893</td>\n",
-       "      <td>0.152321</td>\n",
-       "      <td>7.430769</td>\n",
-       "      <td>13</td>\n",
-       "      <td>0.508681</td>\n",
-       "      <td>-0.415876</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.454392e-14</td>\n",
-       "      <td>0.871392</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1.398598e+10</td>\n",
-       "      <td>8.307063e+10</td>\n",
-       "      <td>8.354432e+10</td>\n",
-       "      <td>14</td>\n",
-       "      <td>24</td>\n",
-       "      <td>43.909091</td>\n",
-       "      <td>130</td>\n",
-       "      <td>0.026759</td>\n",
-       "      <td>0.127745</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.035413</td>\n",
-       "      <td>0.023472</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>200000082</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>422994.464523</td>\n",
-       "      <td>462973.7880</td>\n",
-       "      <td>580174.7570</td>\n",
-       "      <td>490991.5590</td>\n",
-       "      <td>178371.1590</td>\n",
-       "      <td>2.327246e+06</td>\n",
-       "      <td>17901.894469</td>\n",
-       "      <td>7103.0</td>\n",
-       "      <td>13288.481111</td>\n",
-       "      <td>0.047480</td>\n",
-       "      <td>0.037140</td>\n",
-       "      <td>0.005194</td>\n",
-       "      <td>0.038831</td>\n",
-       "      <td>7.430769</td>\n",
-       "      <td>15</td>\n",
-       "      <td>0.467005</td>\n",
-       "      <td>-0.562929</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.537178e-01</td>\n",
-       "      <td>0.302866</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>18</td>\n",
-       "      <td>2.058983e+09</td>\n",
-       "      <td>1.422679e+10</td>\n",
-       "      <td>1.313063e+10</td>\n",
-       "      <td>10</td>\n",
-       "      <td>17</td>\n",
-       "      <td>53.666667</td>\n",
-       "      <td>130</td>\n",
-       "      <td>-0.096172</td>\n",
-       "      <td>-0.179151</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.173013</td>\n",
-       "      <td>-0.174161</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>200000146</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>212108.397869</td>\n",
-       "      <td>210616.5330</td>\n",
-       "      <td>536769.8760</td>\n",
-       "      <td>536769.8760</td>\n",
-       "      <td>457533.3310</td>\n",
-       "      <td>1.150546e+06</td>\n",
-       "      <td>8850.350438</td>\n",
-       "      <td>4774.0</td>\n",
-       "      <td>10074.748210</td>\n",
-       "      <td>0.051622</td>\n",
-       "      <td>0.066995</td>\n",
-       "      <td>0.024910</td>\n",
-       "      <td>0.075092</td>\n",
-       "      <td>18.369231</td>\n",
-       "      <td>26</td>\n",
-       "      <td>0.517815</td>\n",
-       "      <td>-0.556667</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.998401e-15</td>\n",
-       "      <td>0.461533</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>33</td>\n",
-       "      <td>1.339995e+09</td>\n",
-       "      <td>1.201877e+10</td>\n",
-       "      <td>9.821426e+09</td>\n",
-       "      <td>20</td>\n",
-       "      <td>42</td>\n",
-       "      <td>72.363636</td>\n",
-       "      <td>130</td>\n",
-       "      <td>0.047976</td>\n",
-       "      <td>-0.183338</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.139586</td>\n",
-       "      <td>-0.109310</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>200000147</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>145729.199224</td>\n",
-       "      <td>79260.8255</td>\n",
-       "      <td>530740.2621</td>\n",
-       "      <td>530740.2621</td>\n",
-       "      <td>677492.4351</td>\n",
-       "      <td>1.213963e+06</td>\n",
-       "      <td>9338.178685</td>\n",
-       "      <td>7585.0</td>\n",
-       "      <td>13868.197522</td>\n",
-       "      <td>0.061164</td>\n",
-       "      <td>0.058200</td>\n",
-       "      <td>0.022213</td>\n",
-       "      <td>0.059810</td>\n",
-       "      <td>46.576923</td>\n",
-       "      <td>54</td>\n",
-       "      <td>0.598820</td>\n",
-       "      <td>-0.448555</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.998401e-15</td>\n",
-       "      <td>0.905503</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>75</td>\n",
-       "      <td>9.390666e+09</td>\n",
-       "      <td>3.943802e+10</td>\n",
-       "      <td>3.943366e+10</td>\n",
-       "      <td>56</td>\n",
-       "      <td>102</td>\n",
-       "      <td>80.733333</td>\n",
-       "      <td>130</td>\n",
-       "      <td>0.103747</td>\n",
-       "      <td>0.126239</td>\n",
-       "      <td>-0.049229</td>\n",
-       "      <td>-0.009332</td>\n",
-       "      <td>-0.270671</td>\n",
-       "      <td>-0.216742</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID  n_months  n_active_months  flow_freq   aum_qty_mean  \\\n",
-       "0                  18872       130              130   1.000000  143505.697354   \n",
-       "1              200000076       130              119   0.915385   24141.541138   \n",
-       "2              200000082       130              130   1.000000  422994.464523   \n",
-       "3              200000146       130              130   1.000000  212108.397869   \n",
-       "4              200000147       130              130   1.000000  145729.199224   \n",
-       "\n",
-       "   aum_qty_median  aum_qty_max  aum_qty_last  net_flow_qty_sum  \\\n",
-       "0     144653.1645  211049.3200   166752.2080       -45677.1480   \n",
-       "1      19888.8255   69211.1070    69211.1070        54791.9840   \n",
-       "2     462973.7880  580174.7570   490991.5590       178371.1590   \n",
-       "3     210616.5330  536769.8760   536769.8760       457533.3310   \n",
-       "4      79260.8255  530740.2621   530740.2621       677492.4351   \n",
-       "\n",
-       "   gross_flow_qty_sum  gross_flow_qty_mean  n_tx_total  net_flow_vol  \\\n",
-       "0        1.244126e+06          9570.200015      1926.0   9832.357264   \n",
-       "1        2.314415e+05          1780.319492       518.0   2838.000232   \n",
-       "2        2.327246e+06         17901.894469      7103.0  13288.481111   \n",
-       "3        1.150546e+06          8850.350438      4774.0  10074.748210   \n",
-       "4        1.213963e+06          9338.178685      7585.0  13868.197522   \n",
-       "\n",
-       "   turnover_mean  turnover_vol  flow_to_aum_mean  flow_to_aum_vol  \\\n",
-       "0       0.069449      0.072727         -0.003918         0.074207   \n",
-       "1       0.083230      0.138485         -0.000893         0.152321   \n",
-       "2       0.047480      0.037140          0.005194         0.038831   \n",
-       "3       0.051622      0.066995          0.024910         0.075092   \n",
-       "4       0.061164      0.058200          0.022213         0.059810   \n",
-       "\n",
-       "   avg_n_isin_held  max_n_isin_held  sub_share_mean  red_share_mean  \\\n",
-       "0        39.669231               50        0.429844       -0.576520   \n",
-       "1         7.430769               13        0.508681       -0.415876   \n",
-       "2         7.430769               15        0.467005       -0.562929   \n",
-       "3        18.369231               26        0.517815       -0.556667   \n",
-       "4        46.576923               54        0.598820       -0.448555   \n",
-       "\n",
-       "   delta_rate_mean  aum_drawdown_last  aum_drawdown_max       region  \\\n",
-       "0         0.013723       2.098899e-01          0.715200  Switzerland   \n",
-       "1         0.013723       1.454392e-14          0.871392        Spain   \n",
-       "2         0.013723       1.537178e-01          0.302866        Italy   \n",
-       "3         0.013723       1.998401e-15          0.461533        Italy   \n",
-       "4         0.013723       1.998401e-15          0.905503        Italy   \n",
-       "\n",
-       "       country  n_isin_total  rel_turnover_mean_avg  rel_turnover_vol_avg  \\\n",
-       "0  Switzerland           108           1.583591e+10          1.157253e+11   \n",
-       "1        Spain            22           1.398598e+10          8.307063e+10   \n",
-       "2        Italy            18           2.058983e+09          1.422679e+10   \n",
-       "3        Italy            33           1.339995e+09          1.201877e+10   \n",
-       "4        Italy            75           9.390666e+09          3.943802e+10   \n",
-       "\n",
-       "   rel_flow_to_aum_vol_avg  full_exit_count  entry_count  \\\n",
-       "0             1.157601e+11               86          126   \n",
-       "1             8.354432e+10               14           24   \n",
-       "2             1.313063e+10               10           17   \n",
-       "3             9.821426e+09               20           42   \n",
-       "4             3.943366e+10               56          102   \n",
-       "\n",
-       "   avg_holding_months_per_isin  max_holding_months_per_isin  \\\n",
-       "0                    47.750000                          130   \n",
-       "1                    43.909091                          130   \n",
-       "2                    53.666667                          130   \n",
-       "3                    72.363636                          130   \n",
-       "4                    80.733333                          130   \n",
-       "\n",
-       "   corr_flow_fund_lag3  corr_flow_fund_lag6  corr_flow_bench_lag3  \\\n",
-       "0             0.164687             0.091805                   NaN   \n",
-       "1             0.026759             0.127745                   NaN   \n",
-       "2            -0.096172            -0.179151                   NaN   \n",
-       "3             0.047976            -0.183338                   NaN   \n",
-       "4             0.103747             0.126239             -0.049229   \n",
-       "\n",
-       "   corr_flow_bench_lag6  corr_flow_rate_lag3  corr_flow_rate_lag6  \n",
-       "0                   NaN            -0.125209            -0.133345  \n",
-       "1                   NaN            -0.035413             0.023472  \n",
-       "2                   NaN            -0.173013            -0.174161  \n",
-       "3                   NaN            -0.139586            -0.109310  \n",
-       "4             -0.009332            -0.270671            -0.216742  "
-      ]
-     },
-     "execution_count": 283,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Données agrégées sur les ISIN et sur les mois\n",
-    "df_rel_client = (\n",
-    "    df_rel_feat\n",
-    "    .groupby(ID_COL, as_index=False)\n",
-    "    .agg(\n",
-    "        n_isin_total=(ISIN_COL, \"nunique\"),\n",
-    "        rel_turnover_mean_avg=(\"rel_turnover_mean\", \"mean\"),\n",
-    "        rel_turnover_vol_avg=(\"rel_turnover_vol\", \"mean\"),\n",
-    "        rel_flow_to_aum_vol_avg=(\"rel_flow_to_aum_vol\", \"mean\"),\n",
-    "        full_exit_count=(\"rel_full_exit_count\", \"sum\"),\n",
-    "        entry_count=(\"rel_entry_count\", \"sum\"),\n",
-    "        avg_holding_months_per_isin=(\"rel_holding_months\", \"mean\"),\n",
-    "        max_holding_months_per_isin=(\"rel_holding_months\", \"max\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_client = (\n",
-    "    df_month\n",
-    "    .groupby(ID_COL, as_index=False)\n",
-    "    .agg(\n",
-    "        n_months=(\"month\", \"nunique\"),\n",
-    "        n_active_months=(\"active_month\", \"sum\"),\n",
-    "        flow_freq=(\"active_month\", \"mean\"),\n",
-    "\n",
-    "        aum_qty_mean=(\"aum_qty\", \"mean\"),\n",
-    "        aum_qty_median=(\"aum_qty\", \"median\"),\n",
-    "        aum_qty_max=(\"aum_qty\", \"max\"),\n",
-    "        aum_qty_last=(\"aum_qty\", \"last\"),\n",
-    "\n",
-    "        net_flow_qty_sum=(\"net_flow_qty\", \"sum\"),\n",
-    "        gross_flow_qty_sum=(\"gross_flow_qty\", \"sum\"),\n",
-    "        gross_flow_qty_mean=(\"gross_flow_qty\", \"mean\"),\n",
-    "        n_tx_total=(\"n_tx\", \"sum\"),\n",
-    "\n",
-    "        net_flow_vol=(\"net_flow_qty\", \"std\"),\n",
-    "        turnover_mean=(\"turnover_m\", \"mean\"),\n",
-    "        turnover_vol=(\"turnover_m\", \"std\"),\n",
-    "        flow_to_aum_mean=(\"flow_to_aum_m\", \"mean\"),\n",
-    "        flow_to_aum_vol=(\"flow_to_aum_m\", \"std\"),\n",
-    "\n",
-    "        avg_n_isin_held=(\"n_isin_held\", \"mean\"),\n",
-    "        max_n_isin_held=(\"n_isin_held\", \"max\"),\n",
-    "\n",
-    "        sub_share_mean=(\"sub_share_m\", \"mean\"),\n",
-    "        red_share_mean=(\"red_share_m\", \"mean\"),\n",
-    "\n",
-    "        delta_rate_mean=(\"delta_rate_m\", \"mean\"),\n",
-    "        aum_drawdown_last=(\"aum_drawdown\", \"last\"),\n",
-    "        aum_drawdown_max=(\"aum_drawdown\", \"max\"),\n",
-    "\n",
-    "        region=(\"region\", \"last\"),\n",
-    "        country=(\"country\", \"last\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_client = df_client.merge(df_rel_client, on=ID_COL, how=\"left\")\n",
-    "\n",
-    "#Variables de corrélations entre performance et flux\n",
-    "def corr_lag(x, y, lag):\n",
-    "    x = np.asarray(x, dtype=float)\n",
-    "    y = np.asarray(y, dtype=float)\n",
-    "    \n",
-    "    mask = np.isfinite(x) & np.isfinite(y)\n",
-    "    x, y = x[mask], y[mask]\n",
-    "    \n",
-    "    if len(x) <= lag + 3:\n",
-    "        return np.nan\n",
-    "    \n",
-    "    return pd.Series(x[lag:]).corr(pd.Series(y[:-lag]))\n",
-    "\n",
-    "rows = []\n",
-    "\n",
-    "for acc, g in df_month.groupby(ID_COL):\n",
-    "    g = g.sort_values(\"month\")\n",
-    "    \n",
-    "    flow = g[\"flow_to_aum_m\"].values\n",
-    "    ret_fund = g[\"ret_fund_m\"].values\n",
-    "    ret_bench = g[\"ret_bench_m\"].values\n",
-    "    rate = g[\"delta_rate_m\"].values\n",
-    "    \n",
-    "    rows.append({\n",
-    "        ID_COL: acc,\n",
-    "        \n",
-    "        # 👇 Corrélations perf vs flux\n",
-    "        \"corr_flow_fund_lag3\": corr_lag(flow, ret_fund, 3),\n",
-    "        \"corr_flow_fund_lag6\": corr_lag(flow, ret_fund, 6),\n",
-    "        \n",
-    "        \"corr_flow_bench_lag3\": corr_lag(flow, ret_bench, 3),\n",
-    "        \"corr_flow_bench_lag6\": corr_lag(flow, ret_bench, 6),\n",
-    "        \n",
-    "        # 👇 Corrélation taux vs flux\n",
-    "        \"corr_flow_rate_lag3\": corr_lag(flow, rate, 3),\n",
-    "        \"corr_flow_rate_lag6\": corr_lag(flow, rate, 6),\n",
-    "    })\n",
-    "\n",
-    "df_corr = pd.DataFrame(rows)\n",
-    "\n",
-    "df_client = df_client.merge(df_corr, on=ID_COL, how=\"left\")\n",
-    "\n",
-    "print(df_client.shape)\n",
-    "df_client.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 284,
-   "id": "a9570578-8f9e-4b22-a8bc-4174321b7406",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(431, 44)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>n_months</th>\n",
-       "      <th>n_active_months</th>\n",
-       "      <th>flow_freq</th>\n",
-       "      <th>aum_qty_mean</th>\n",
-       "      <th>aum_qty_median</th>\n",
-       "      <th>aum_qty_max</th>\n",
-       "      <th>aum_qty_last</th>\n",
-       "      <th>net_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_mean</th>\n",
-       "      <th>n_tx_total</th>\n",
-       "      <th>net_flow_vol</th>\n",
-       "      <th>turnover_mean</th>\n",
-       "      <th>turnover_vol</th>\n",
-       "      <th>flow_to_aum_mean</th>\n",
-       "      <th>flow_to_aum_vol</th>\n",
-       "      <th>avg_n_isin_held</th>\n",
-       "      <th>max_n_isin_held</th>\n",
-       "      <th>sub_share_mean</th>\n",
-       "      <th>red_share_mean</th>\n",
-       "      <th>delta_rate_mean</th>\n",
-       "      <th>aum_drawdown_last</th>\n",
-       "      <th>aum_drawdown_max</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>n_isin_total</th>\n",
-       "      <th>rel_turnover_mean_avg</th>\n",
-       "      <th>rel_turnover_vol_avg</th>\n",
-       "      <th>rel_flow_to_aum_vol_avg</th>\n",
-       "      <th>full_exit_count</th>\n",
-       "      <th>entry_count</th>\n",
-       "      <th>avg_holding_months_per_isin</th>\n",
-       "      <th>max_holding_months_per_isin</th>\n",
-       "      <th>corr_flow_fund_lag3</th>\n",
-       "      <th>corr_flow_fund_lag6</th>\n",
-       "      <th>corr_flow_bench_lag3</th>\n",
-       "      <th>corr_flow_bench_lag6</th>\n",
-       "      <th>corr_flow_rate_lag3</th>\n",
-       "      <th>corr_flow_rate_lag6</th>\n",
-       "      <th>flow_trend_12m</th>\n",
-       "      <th>aum_trend_12m</th>\n",
-       "      <th>drawdown_trend_12m</th>\n",
-       "      <th>beta_rate</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>143505.697354</td>\n",
-       "      <td>144653.1645</td>\n",
-       "      <td>211049.3200</td>\n",
-       "      <td>166752.2080</td>\n",
-       "      <td>-45677.1480</td>\n",
-       "      <td>1.244126e+06</td>\n",
-       "      <td>9570.200015</td>\n",
-       "      <td>1926.0</td>\n",
-       "      <td>9832.357264</td>\n",
-       "      <td>0.069449</td>\n",
-       "      <td>0.072727</td>\n",
-       "      <td>-0.003918</td>\n",
-       "      <td>0.074207</td>\n",
-       "      <td>39.669231</td>\n",
-       "      <td>50</td>\n",
-       "      <td>0.429844</td>\n",
-       "      <td>-0.576520</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>2.098899e-01</td>\n",
-       "      <td>0.715200</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>108</td>\n",
-       "      <td>1.583591e+10</td>\n",
-       "      <td>1.157253e+11</td>\n",
-       "      <td>1.157601e+11</td>\n",
-       "      <td>86</td>\n",
-       "      <td>126</td>\n",
-       "      <td>47.750000</td>\n",
-       "      <td>130</td>\n",
-       "      <td>0.164687</td>\n",
-       "      <td>0.091805</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.125209</td>\n",
-       "      <td>-0.133345</td>\n",
-       "      <td>-0.005713</td>\n",
-       "      <td>6141.306969</td>\n",
-       "      <td>-2.909892e-02</td>\n",
-       "      <td>-0.058485</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>200000076</td>\n",
-       "      <td>130</td>\n",
-       "      <td>119</td>\n",
-       "      <td>0.915385</td>\n",
-       "      <td>24141.541138</td>\n",
-       "      <td>19888.8255</td>\n",
-       "      <td>69211.1070</td>\n",
-       "      <td>69211.1070</td>\n",
-       "      <td>54791.9840</td>\n",
-       "      <td>2.314415e+05</td>\n",
-       "      <td>1780.319492</td>\n",
-       "      <td>518.0</td>\n",
-       "      <td>2838.000232</td>\n",
-       "      <td>0.083230</td>\n",
-       "      <td>0.138485</td>\n",
-       "      <td>-0.000893</td>\n",
-       "      <td>0.152321</td>\n",
-       "      <td>7.430769</td>\n",
-       "      <td>13</td>\n",
-       "      <td>0.508681</td>\n",
-       "      <td>-0.415876</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.454392e-14</td>\n",
-       "      <td>0.871392</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1.398598e+10</td>\n",
-       "      <td>8.307063e+10</td>\n",
-       "      <td>8.354432e+10</td>\n",
-       "      <td>14</td>\n",
-       "      <td>24</td>\n",
-       "      <td>43.909091</td>\n",
-       "      <td>130</td>\n",
-       "      <td>0.026759</td>\n",
-       "      <td>0.127745</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.035413</td>\n",
-       "      <td>0.023472</td>\n",
-       "      <td>0.001599</td>\n",
-       "      <td>1649.631811</td>\n",
-       "      <td>-6.132290e-04</td>\n",
-       "      <td>-0.102416</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>200000082</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>422994.464523</td>\n",
-       "      <td>462973.7880</td>\n",
-       "      <td>580174.7570</td>\n",
-       "      <td>490991.5590</td>\n",
-       "      <td>178371.1590</td>\n",
-       "      <td>2.327246e+06</td>\n",
-       "      <td>17901.894469</td>\n",
-       "      <td>7103.0</td>\n",
-       "      <td>13288.481111</td>\n",
-       "      <td>0.047480</td>\n",
-       "      <td>0.037140</td>\n",
-       "      <td>0.005194</td>\n",
-       "      <td>0.038831</td>\n",
-       "      <td>7.430769</td>\n",
-       "      <td>15</td>\n",
-       "      <td>0.467005</td>\n",
-       "      <td>-0.562929</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.537178e-01</td>\n",
-       "      <td>0.302866</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>18</td>\n",
-       "      <td>2.058983e+09</td>\n",
-       "      <td>1.422679e+10</td>\n",
-       "      <td>1.313063e+10</td>\n",
-       "      <td>10</td>\n",
-       "      <td>17</td>\n",
-       "      <td>53.666667</td>\n",
-       "      <td>130</td>\n",
-       "      <td>-0.096172</td>\n",
-       "      <td>-0.179151</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.173013</td>\n",
-       "      <td>-0.174161</td>\n",
-       "      <td>-0.000349</td>\n",
-       "      <td>2939.071073</td>\n",
-       "      <td>-5.065838e-03</td>\n",
-       "      <td>-0.025668</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>200000146</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>212108.397869</td>\n",
-       "      <td>210616.5330</td>\n",
-       "      <td>536769.8760</td>\n",
-       "      <td>536769.8760</td>\n",
-       "      <td>457533.3310</td>\n",
-       "      <td>1.150546e+06</td>\n",
-       "      <td>8850.350438</td>\n",
-       "      <td>4774.0</td>\n",
-       "      <td>10074.748210</td>\n",
-       "      <td>0.051622</td>\n",
-       "      <td>0.066995</td>\n",
-       "      <td>0.024910</td>\n",
-       "      <td>0.075092</td>\n",
-       "      <td>18.369231</td>\n",
-       "      <td>26</td>\n",
-       "      <td>0.517815</td>\n",
-       "      <td>-0.556667</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.998401e-15</td>\n",
-       "      <td>0.461533</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>33</td>\n",
-       "      <td>1.339995e+09</td>\n",
-       "      <td>1.201877e+10</td>\n",
-       "      <td>9.821426e+09</td>\n",
-       "      <td>20</td>\n",
-       "      <td>42</td>\n",
-       "      <td>72.363636</td>\n",
-       "      <td>130</td>\n",
-       "      <td>0.047976</td>\n",
-       "      <td>-0.183338</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.139586</td>\n",
-       "      <td>-0.109310</td>\n",
-       "      <td>0.000297</td>\n",
-       "      <td>13502.539948</td>\n",
-       "      <td>-5.784029e-17</td>\n",
-       "      <td>-0.065034</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>200000147</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>145729.199224</td>\n",
-       "      <td>79260.8255</td>\n",
-       "      <td>530740.2621</td>\n",
-       "      <td>530740.2621</td>\n",
-       "      <td>677492.4351</td>\n",
-       "      <td>1.213963e+06</td>\n",
-       "      <td>9338.178685</td>\n",
-       "      <td>7585.0</td>\n",
-       "      <td>13868.197522</td>\n",
-       "      <td>0.061164</td>\n",
-       "      <td>0.058200</td>\n",
-       "      <td>0.022213</td>\n",
-       "      <td>0.059810</td>\n",
-       "      <td>46.576923</td>\n",
-       "      <td>54</td>\n",
-       "      <td>0.598820</td>\n",
-       "      <td>-0.448555</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.998401e-15</td>\n",
-       "      <td>0.905503</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>75</td>\n",
-       "      <td>9.390666e+09</td>\n",
-       "      <td>3.943802e+10</td>\n",
-       "      <td>3.943366e+10</td>\n",
-       "      <td>56</td>\n",
-       "      <td>102</td>\n",
-       "      <td>80.733333</td>\n",
-       "      <td>130</td>\n",
-       "      <td>0.103747</td>\n",
-       "      <td>0.126239</td>\n",
-       "      <td>-0.049229</td>\n",
-       "      <td>-0.009332</td>\n",
-       "      <td>-0.270671</td>\n",
-       "      <td>-0.216742</td>\n",
-       "      <td>-0.003066</td>\n",
-       "      <td>44438.820752</td>\n",
-       "      <td>-8.600167e-02</td>\n",
-       "      <td>-0.102510</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID  n_months  n_active_months  flow_freq   aum_qty_mean  \\\n",
-       "0                  18872       130              130   1.000000  143505.697354   \n",
-       "1              200000076       130              119   0.915385   24141.541138   \n",
-       "2              200000082       130              130   1.000000  422994.464523   \n",
-       "3              200000146       130              130   1.000000  212108.397869   \n",
-       "4              200000147       130              130   1.000000  145729.199224   \n",
-       "\n",
-       "   aum_qty_median  aum_qty_max  aum_qty_last  net_flow_qty_sum  \\\n",
-       "0     144653.1645  211049.3200   166752.2080       -45677.1480   \n",
-       "1      19888.8255   69211.1070    69211.1070        54791.9840   \n",
-       "2     462973.7880  580174.7570   490991.5590       178371.1590   \n",
-       "3     210616.5330  536769.8760   536769.8760       457533.3310   \n",
-       "4      79260.8255  530740.2621   530740.2621       677492.4351   \n",
-       "\n",
-       "   gross_flow_qty_sum  gross_flow_qty_mean  n_tx_total  net_flow_vol  \\\n",
-       "0        1.244126e+06          9570.200015      1926.0   9832.357264   \n",
-       "1        2.314415e+05          1780.319492       518.0   2838.000232   \n",
-       "2        2.327246e+06         17901.894469      7103.0  13288.481111   \n",
-       "3        1.150546e+06          8850.350438      4774.0  10074.748210   \n",
-       "4        1.213963e+06          9338.178685      7585.0  13868.197522   \n",
-       "\n",
-       "   turnover_mean  turnover_vol  flow_to_aum_mean  flow_to_aum_vol  \\\n",
-       "0       0.069449      0.072727         -0.003918         0.074207   \n",
-       "1       0.083230      0.138485         -0.000893         0.152321   \n",
-       "2       0.047480      0.037140          0.005194         0.038831   \n",
-       "3       0.051622      0.066995          0.024910         0.075092   \n",
-       "4       0.061164      0.058200          0.022213         0.059810   \n",
-       "\n",
-       "   avg_n_isin_held  max_n_isin_held  sub_share_mean  red_share_mean  \\\n",
-       "0        39.669231               50        0.429844       -0.576520   \n",
-       "1         7.430769               13        0.508681       -0.415876   \n",
-       "2         7.430769               15        0.467005       -0.562929   \n",
-       "3        18.369231               26        0.517815       -0.556667   \n",
-       "4        46.576923               54        0.598820       -0.448555   \n",
-       "\n",
-       "   delta_rate_mean  aum_drawdown_last  aum_drawdown_max       region  \\\n",
-       "0         0.013723       2.098899e-01          0.715200  Switzerland   \n",
-       "1         0.013723       1.454392e-14          0.871392        Spain   \n",
-       "2         0.013723       1.537178e-01          0.302866        Italy   \n",
-       "3         0.013723       1.998401e-15          0.461533        Italy   \n",
-       "4         0.013723       1.998401e-15          0.905503        Italy   \n",
-       "\n",
-       "       country  n_isin_total  rel_turnover_mean_avg  rel_turnover_vol_avg  \\\n",
-       "0  Switzerland           108           1.583591e+10          1.157253e+11   \n",
-       "1        Spain            22           1.398598e+10          8.307063e+10   \n",
-       "2        Italy            18           2.058983e+09          1.422679e+10   \n",
-       "3        Italy            33           1.339995e+09          1.201877e+10   \n",
-       "4        Italy            75           9.390666e+09          3.943802e+10   \n",
-       "\n",
-       "   rel_flow_to_aum_vol_avg  full_exit_count  entry_count  \\\n",
-       "0             1.157601e+11               86          126   \n",
-       "1             8.354432e+10               14           24   \n",
-       "2             1.313063e+10               10           17   \n",
-       "3             9.821426e+09               20           42   \n",
-       "4             3.943366e+10               56          102   \n",
-       "\n",
-       "   avg_holding_months_per_isin  max_holding_months_per_isin  \\\n",
-       "0                    47.750000                          130   \n",
-       "1                    43.909091                          130   \n",
-       "2                    53.666667                          130   \n",
-       "3                    72.363636                          130   \n",
-       "4                    80.733333                          130   \n",
-       "\n",
-       "   corr_flow_fund_lag3  corr_flow_fund_lag6  corr_flow_bench_lag3  \\\n",
-       "0             0.164687             0.091805                   NaN   \n",
-       "1             0.026759             0.127745                   NaN   \n",
-       "2            -0.096172            -0.179151                   NaN   \n",
-       "3             0.047976            -0.183338                   NaN   \n",
-       "4             0.103747             0.126239             -0.049229   \n",
-       "\n",
-       "   corr_flow_bench_lag6  corr_flow_rate_lag3  corr_flow_rate_lag6  \\\n",
-       "0                   NaN            -0.125209            -0.133345   \n",
-       "1                   NaN            -0.035413             0.023472   \n",
-       "2                   NaN            -0.173013            -0.174161   \n",
-       "3                   NaN            -0.139586            -0.109310   \n",
-       "4             -0.009332            -0.270671            -0.216742   \n",
-       "\n",
-       "   flow_trend_12m  aum_trend_12m  drawdown_trend_12m  beta_rate  \n",
-       "0       -0.005713    6141.306969       -2.909892e-02  -0.058485  \n",
-       "1        0.001599    1649.631811       -6.132290e-04  -0.102416  \n",
-       "2       -0.000349    2939.071073       -5.065838e-03  -0.025668  \n",
-       "3        0.000297   13502.539948       -5.784029e-17  -0.065034  \n",
-       "4       -0.003066   44438.820752       -8.600167e-02  -0.102510  "
-      ]
-     },
-     "execution_count": 284,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "def compute_trend(y):\n",
-    "    y = np.asarray(y, dtype=float)\n",
-    "    if len(y) < 4:\n",
-    "        return np.nan\n",
-    "    x = np.arange(len(y)).reshape(-1, 1)\n",
-    "    mask = np.isfinite(y)\n",
-    "    if mask.sum() < 4:\n",
-    "        return np.nan\n",
-    "    reg = LinearRegression().fit(x[mask], y[mask])\n",
-    "    return reg.coef_[0]\n",
-    "\n",
-    "def compute_beta(y, x):\n",
-    "    y = np.asarray(y, dtype=float)\n",
-    "    x = np.asarray(x, dtype=float)\n",
-    "    mask = np.isfinite(y) & np.isfinite(x)\n",
-    "    if mask.sum() < 6:\n",
-    "        return np.nan\n",
-    "    reg = LinearRegression().fit(x[mask].reshape(-1, 1), y[mask])\n",
-    "    return reg.coef_[0]\n",
-    "\n",
-    "rows = []\n",
-    "\n",
-    "for acc, g in df_month.groupby(ID_COL):\n",
-    "    g = g.sort_values(\"month\")\n",
-    "\n",
-    "    flow = g[\"flow_to_aum_m\"].values\n",
-    "    aum = g[\"aum_qty\"].values\n",
-    "    delta_rate = g[\"delta_rate_m\"].values\n",
-    "    drawdown = g[\"aum_drawdown\"].values\n",
-    "\n",
-    "    rows.append({\n",
-    "        ID_COL: acc,\n",
-    "        \"flow_trend_12m\": compute_trend(flow[-12:]),\n",
-    "        \"aum_trend_12m\": compute_trend(aum[-12:]),\n",
-    "        \"drawdown_trend_12m\": compute_trend(drawdown[-12:]),\n",
-    "        \"beta_rate\": compute_beta(flow, delta_rate)\n",
-    "    })\n",
-    "\n",
-    "df_beta = pd.DataFrame(rows)\n",
-    "\n",
-    "df_client = df_client.merge(df_beta, on=ID_COL, how=\"left\")\n",
-    "\n",
-    "print(df_client.shape)\n",
-    "df_client.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 295,
-   "id": "5e643b2f-491d-4639-b190-a8c6218a2694",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Nb clients = 420\n",
-      "Nb features = 40\n",
-      "['log_aum_qty_mean', 'flow_freq', 'gross_flow_to_aum', 'turnover_vol', 'flow_to_aum_vol', 'activity_intensity', 'log_n_tx_total', 'avg_n_isin_held', 'n_isin_total', 'avg_holding_months_per_isin', 'exit_rate_per_isin', 'flow_direction_balance', 'redemption_bias', 'aum_drawdown_last', 'corr_flow_fund_lag3', 'corr_flow_fund_lag6', 'corr_flow_rate_lag3', 'corr_flow_rate_lag6', 'corr_flow_bench_lag3', 'corr_flow_bench_lag6', 'country_grp_France', 'country_grp_Germany', 'country_grp_Italy', 'country_grp_Luxembourg', 'country_grp_Monaco', 'country_grp_Other', 'country_grp_Spain', 'country_grp_Sweden', 'country_grp_Switzerland', 'country_grp_United Kingdom', 'region_grp_France', 'region_grp_Germany', 'region_grp_International', 'region_grp_Italy', 'region_grp_Luxembourg', 'region_grp_Nordics', 'region_grp_Other', 'region_grp_Spain', 'region_grp_Switzerland', 'region_grp_United Kingdom']\n"
-     ]
-    }
-   ],
-   "source": [
-    "dfc = df_client.copy()\n",
-    "\n",
-    "dfc[\"gross_flow_to_aum\"] = dfc[\"gross_flow_qty_sum\"] / (dfc[\"aum_qty_mean\"].abs() + EPS)\n",
-    "dfc[\"avg_ticket\"] = dfc[\"gross_flow_qty_sum\"] / (dfc[\"n_tx_total\"] + EPS)\n",
-    "dfc[\"flow_direction_balance\"] = dfc[\"net_flow_qty_sum\"] / (dfc[\"gross_flow_qty_sum\"] + EPS)\n",
-    "dfc[\"redemption_bias\"] = dfc[\"red_share_mean\"] - dfc[\"sub_share_mean\"]\n",
-    "dfc[\"activity_intensity\"] = dfc[\"n_tx_total\"] / (dfc[\"n_months\"] + EPS)\n",
-    "dfc[\"exit_rate_per_isin\"] = dfc[\"full_exit_count\"] / (dfc[\"n_isin_total\"] + EPS)\n",
-    "dfc[\"entry_rate_per_isin\"] = dfc[\"entry_count\"] / (dfc[\"n_isin_total\"] + EPS)\n",
-    "dfc[\"aum_final_to_peak\"] = dfc[\"aum_qty_last\"] / (dfc[\"aum_qty_max\"] + EPS)\n",
-    "\n",
-    "for col in [\"aum_qty_mean\", \"gross_flow_qty_sum\", \"n_tx_total\", \"avg_ticket\", \"gross_flow_qty_mean\"]:\n",
-    "    dfc[f\"log_{col}\"] = np.log1p(dfc[col].clip(lower=0))\n",
-    "\n",
-    "dfc = dfc[(dfc[\"n_months\"] >= 6) & (dfc[\"aum_qty_mean\"] > 0)].copy()\n",
-    "\n",
-    "top_countries = dfc[\"country\"].fillna(\"Unknown\").value_counts().head(10).index\n",
-    "top_regions = dfc[\"region\"].fillna(\"Unknown\").value_counts().head(10).index\n",
-    "\n",
-    "dfc[\"country_grp\"] = np.where(dfc[\"country\"].isin(top_countries), dfc[\"country\"], \"Other\")\n",
-    "dfc[\"region_grp\"] = np.where(dfc[\"region\"].isin(top_regions), dfc[\"region\"], \"Other\")\n",
-    "\n",
-    "base_features = [\n",
-    "    \"log_aum_qty_mean\",\n",
-    "    \"flow_freq\",\n",
-    "    \"gross_flow_to_aum\",\n",
-    "    \"turnover_vol\",\n",
-    "    \"flow_to_aum_vol\",\n",
-    "    \"activity_intensity\",\n",
-    "    \"log_n_tx_total\",\n",
-    "    \"avg_n_isin_held\",\n",
-    "    \"n_isin_total\",\n",
-    "    \"avg_holding_months_per_isin\",\n",
-    "    \"exit_rate_per_isin\",\n",
-    "    \"flow_direction_balance\",\n",
-    "    \"redemption_bias\",\n",
-    "    \"aum_drawdown_last\",\n",
-    "    \"corr_flow_fund_lag3\",\n",
-    "    \"corr_flow_fund_lag6\",\n",
-    "    \"corr_flow_rate_lag3\",\n",
-    "    \"corr_flow_rate_lag6\",\n",
-    "    \"corr_flow_bench_lag3\",\n",
-    "    \"corr_flow_bench_lag6\"\n",
-    "    \n",
-    "]\n",
-    "\n",
-    "base_features2 = [\n",
-    "    \"log_aum_qty_mean\",\n",
-    "    \"log_gross_flow_qty_mean\",\n",
-    "    \"n_tx_total\",\n",
-    "    \"flow_freq\",\n",
-    "    \"gross_flow_to_aum\",\n",
-    "    \"net_flow_vol\"\n",
-    "]\n",
-    "\n",
-    "base_features = [c for c in base_features if c in dfc.columns]\n",
-    "\n",
-    "#dfc = dfc[dfc[\"Registrar Account - ID\"]!='420350']\n",
-    "\n",
-    "X_num = dfc[base_features].replace([np.inf, -np.inf], np.nan).fillna(dfc[base_features].median())\n",
-    "X_cat = pd.get_dummies(dfc[[\"country_grp\", \"region_grp\"]].fillna(\"Unknown\"), drop_first=True)\n",
-    "\n",
-    "X = pd.concat([X_num.reset_index(drop=True), X_cat.reset_index(drop=True)], axis=1)\n",
-    "\n",
-    "scaler = StandardScaler()\n",
-    "scaler2 = RobustScaler()\n",
-    "\n",
-    "X_scaled = scaler.fit_transform(X_num)\n",
-    "X_scaled2 = scaler2.fit_transform(X_num)\n",
-    "\n",
-    "print(\"Nb clients =\", X.shape[0])\n",
-    "print(\"Nb features =\", X.shape[1])\n",
-    "print(X.columns.tolist())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 296,
-   "id": "4c53e63d-c555-47eb-959c-0a8ad3af6428",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>k</th>\n",
-       "      <th>inertia</th>\n",
-       "      <th>silhouette</th>\n",
-       "      <th>davies_bouldin</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>8400.000000</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>7397.240892</td>\n",
-       "      <td>0.168814</td>\n",
-       "      <td>2.176326</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>6681.911002</td>\n",
-       "      <td>0.146891</td>\n",
-       "      <td>1.794227</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>6052.515555</td>\n",
-       "      <td>0.172783</td>\n",
-       "      <td>1.710884</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>5584.303430</td>\n",
-       "      <td>0.166762</td>\n",
-       "      <td>1.403164</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>6</td>\n",
-       "      <td>5162.650756</td>\n",
-       "      <td>0.165098</td>\n",
-       "      <td>1.189172</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>7</td>\n",
-       "      <td>4822.512231</td>\n",
-       "      <td>0.130928</td>\n",
-       "      <td>1.410428</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>8</td>\n",
-       "      <td>4574.136528</td>\n",
-       "      <td>0.128751</td>\n",
-       "      <td>1.446932</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>9</td>\n",
-       "      <td>4393.945271</td>\n",
-       "      <td>0.136565</td>\n",
-       "      <td>1.316121</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>10</td>\n",
-       "      <td>4244.461822</td>\n",
-       "      <td>0.128990</td>\n",
-       "      <td>1.351212</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>11</td>\n",
-       "      <td>4140.438578</td>\n",
-       "      <td>0.116146</td>\n",
-       "      <td>1.568585</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>12</td>\n",
-       "      <td>3964.003923</td>\n",
-       "      <td>0.107951</td>\n",
-       "      <td>1.411938</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>13</td>\n",
-       "      <td>3852.321552</td>\n",
-       "      <td>0.103959</td>\n",
-       "      <td>1.518013</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>14</td>\n",
-       "      <td>3763.668663</td>\n",
-       "      <td>0.114665</td>\n",
-       "      <td>1.421070</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>15</td>\n",
-       "      <td>3650.413905</td>\n",
-       "      <td>0.106512</td>\n",
-       "      <td>1.469561</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>16</td>\n",
-       "      <td>3556.274981</td>\n",
-       "      <td>0.112147</td>\n",
-       "      <td>1.512242</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>17</td>\n",
-       "      <td>3455.255203</td>\n",
-       "      <td>0.114199</td>\n",
-       "      <td>1.450436</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>18</td>\n",
-       "      <td>3344.323287</td>\n",
-       "      <td>0.104783</td>\n",
-       "      <td>1.385847</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>19</td>\n",
-       "      <td>3310.190272</td>\n",
-       "      <td>0.096217</td>\n",
-       "      <td>1.549688</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>20</td>\n",
-       "      <td>3214.679103</td>\n",
-       "      <td>0.100507</td>\n",
-       "      <td>1.380470</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     k      inertia  silhouette  davies_bouldin\n",
-       "0    1  8400.000000         NaN             NaN\n",
-       "1    2  7397.240892    0.168814        2.176326\n",
-       "2    3  6681.911002    0.146891        1.794227\n",
-       "3    4  6052.515555    0.172783        1.710884\n",
-       "4    5  5584.303430    0.166762        1.403164\n",
-       "5    6  5162.650756    0.165098        1.189172\n",
-       "6    7  4822.512231    0.130928        1.410428\n",
-       "7    8  4574.136528    0.128751        1.446932\n",
-       "8    9  4393.945271    0.136565        1.316121\n",
-       "9   10  4244.461822    0.128990        1.351212\n",
-       "10  11  4140.438578    0.116146        1.568585\n",
-       "11  12  3964.003923    0.107951        1.411938\n",
-       "12  13  3852.321552    0.103959        1.518013\n",
-       "13  14  3763.668663    0.114665        1.421070\n",
-       "14  15  3650.413905    0.106512        1.469561\n",
-       "15  16  3556.274981    0.112147        1.512242\n",
-       "16  17  3455.255203    0.114199        1.450436\n",
-       "17  18  3344.323287    0.104783        1.385847\n",
-       "18  19  3310.190272    0.096217        1.549688\n",
-       "19  20  3214.679103    0.100507        1.380470"
-      ]
-     },
-     "execution_count": 296,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rows = []\n",
-    "\n",
-    "for k in range(1, 21):\n",
-    "    km = KMeans(n_clusters=k, n_init=30, random_state=42)\n",
-    "    labels = km.fit_predict(X_scaled)\n",
-    "\n",
-    "    row = {\n",
-    "        \"k\": k,\n",
-    "        \"inertia\": km.inertia_\n",
-    "    }\n",
-    "\n",
-    "    if k >= 2:\n",
-    "        row[\"silhouette\"] = silhouette_score(X_scaled, labels)\n",
-    "        row[\"davies_bouldin\"] = davies_bouldin_score(X_scaled, labels)\n",
-    "    else:\n",
-    "        row[\"silhouette\"] = np.nan\n",
-    "        row[\"davies_bouldin\"] = np.nan\n",
-    "\n",
-    "    rows.append(row)\n",
-    "\n",
-    "df_kdiag = pd.DataFrame(rows)\n",
-    "df_kdiag"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 297,
-   "id": "b92f90a4-5e9e-4ab5-8b93-66529a61e44e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1600x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 3, figsize=(16, 4))\n",
-    "\n",
-    "axes[0].plot(df_kdiag[\"k\"], df_kdiag[\"inertia\"], marker=\"o\")\n",
-    "axes[0].set_title(\"Elbow / Inertia\")\n",
-    "axes[0].set_xlabel(\"K\")\n",
-    "\n",
-    "axes[1].plot(df_kdiag[\"k\"], df_kdiag[\"silhouette\"], marker=\"o\")\n",
-    "axes[1].set_title(\"Silhouette\")\n",
-    "axes[1].set_xlabel(\"K\")\n",
-    "\n",
-    "axes[2].plot(df_kdiag[\"k\"], df_kdiag[\"davies_bouldin\"], marker=\"o\")\n",
-    "axes[2].set_title(\"Davies-Bouldin\")\n",
-    "axes[2].set_xlabel(\"K\")\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 301,
-   "id": "15b0cadc-e1f9-4ac8-8baa-ef58cd30de22",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "K=2 | silhouette=0.1688 | davies_bouldin=2.1763\n",
-      "K=5 | silhouette=0.1668 | davies_bouldin=1.4032\n",
-      "K=6 | silhouette=0.1651 | davies_bouldin=1.1892\n",
-      "K=10 | silhouette=0.1290 | davies_bouldin=1.3512\n"
-     ]
-    }
-   ],
-   "source": [
-    "RESULTS = {}\n",
-    "\n",
-    "for k in [2, 5, 6, 10]:\n",
-    "    km = KMeans(n_clusters=k, n_init=50, random_state=42)\n",
-    "    labels = km.fit_predict(X_scaled)\n",
-    "    dfc[f\"cluster_k{k}\"] = labels\n",
-    "\n",
-    "    RESULTS[k] = {\n",
-    "        \"model\": km,\n",
-    "        \"labels\": labels,\n",
-    "        \"silhouette\": silhouette_score(X_scaled, labels),\n",
-    "        \"davies_bouldin\": davies_bouldin_score(X_scaled, labels)\n",
-    "    }\n",
-    "\n",
-    "for k in [2, 5, 6, 10]:\n",
-    "    print(f\"K={k} | silhouette={RESULTS[k]['silhouette']:.4f} | davies_bouldin={RESULTS[k]['davies_bouldin']:.4f}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 302,
-   "id": "62109253-215a-45c8-b94b-5721708b4c00",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== K=2 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_mean_med</th>\n",
-       "      <th>gross_flow_to_aum_med</th>\n",
-       "      <th>flow_freq_med</th>\n",
-       "      <th>n_tx_total_med</th>\n",
-       "      <th>avg_n_isin_held_med</th>\n",
-       "      <th>n_isin_total_med</th>\n",
-       "      <th>avg_holding_months_per_isin_med</th>\n",
-       "      <th>exit_rate_per_isin_med</th>\n",
-       "      <th>flow_direction_balance_med</th>\n",
-       "      <th>redemption_bias_med</th>\n",
-       "      <th>aum_drawdown_last_med</th>\n",
-       "      <th>aum_final_to_peak_med</th>\n",
-       "      <th>corr_flow_fund_lag3_med</th>\n",
-       "      <th>corr_flow_fund_lag6_med</th>\n",
-       "      <th>corr_flow_rate_lag3_med</th>\n",
-       "      <th>corr_flow_rate_lag6_med</th>\n",
-       "      <th>corr_flow_bench_lag3_med</th>\n",
-       "      <th>corr_flow_bench_lag6_med</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k2</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>302</td>\n",
-       "      <td>41119.269717</td>\n",
-       "      <td>4.017738</td>\n",
-       "      <td>0.952333</td>\n",
-       "      <td>597.5</td>\n",
-       "      <td>5.957143</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>35.300000</td>\n",
-       "      <td>0.500000</td>\n",
-       "      <td>0.193781</td>\n",
-       "      <td>-0.981125</td>\n",
-       "      <td>0.152227</td>\n",
-       "      <td>0.847773</td>\n",
-       "      <td>0.016582</td>\n",
-       "      <td>0.010983</td>\n",
-       "      <td>0.001345</td>\n",
-       "      <td>-0.003738</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>118</td>\n",
-       "      <td>234686.471813</td>\n",
-       "      <td>4.612726</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>6917.0</td>\n",
-       "      <td>27.282197</td>\n",
-       "      <td>51.0</td>\n",
-       "      <td>56.941176</td>\n",
-       "      <td>0.626952</td>\n",
-       "      <td>0.011255</td>\n",
-       "      <td>-1.052709</td>\n",
-       "      <td>0.188189</td>\n",
-       "      <td>0.811811</td>\n",
-       "      <td>0.087368</td>\n",
-       "      <td>0.057736</td>\n",
-       "      <td>-0.075523</td>\n",
-       "      <td>-0.058560</td>\n",
-       "      <td>-0.009615</td>\n",
-       "      <td>-0.003502</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            n_clients  aum_qty_mean_med  gross_flow_to_aum_med  flow_freq_med  \\\n",
-       "cluster_k2                                                                      \n",
-       "0                 302      41119.269717               4.017738       0.952333   \n",
-       "1                 118     234686.471813               4.612726       1.000000   \n",
-       "\n",
-       "            n_tx_total_med  avg_n_isin_held_med  n_isin_total_med  \\\n",
-       "cluster_k2                                                          \n",
-       "0                    597.5             5.957143              14.0   \n",
-       "1                   6917.0            27.282197              51.0   \n",
-       "\n",
-       "            avg_holding_months_per_isin_med  exit_rate_per_isin_med  \\\n",
-       "cluster_k2                                                            \n",
-       "0                                 35.300000                0.500000   \n",
-       "1                                 56.941176                0.626952   \n",
-       "\n",
-       "            flow_direction_balance_med  redemption_bias_med  \\\n",
-       "cluster_k2                                                    \n",
-       "0                             0.193781            -0.981125   \n",
-       "1                             0.011255            -1.052709   \n",
-       "\n",
-       "            aum_drawdown_last_med  aum_final_to_peak_med  \\\n",
-       "cluster_k2                                                 \n",
-       "0                        0.152227               0.847773   \n",
-       "1                        0.188189               0.811811   \n",
-       "\n",
-       "            corr_flow_fund_lag3_med  corr_flow_fund_lag6_med  \\\n",
-       "cluster_k2                                                     \n",
-       "0                          0.016582                 0.010983   \n",
-       "1                          0.087368                 0.057736   \n",
-       "\n",
-       "            corr_flow_rate_lag3_med  corr_flow_rate_lag6_med  \\\n",
-       "cluster_k2                                                     \n",
-       "0                          0.001345                -0.003738   \n",
-       "1                         -0.075523                -0.058560   \n",
-       "\n",
-       "            corr_flow_bench_lag3_med  corr_flow_bench_lag6_med  \n",
-       "cluster_k2                                                      \n",
-       "0                                NaN                       NaN  \n",
-       "1                          -0.009615                 -0.003502  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== K=5 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_mean_med</th>\n",
-       "      <th>gross_flow_to_aum_med</th>\n",
-       "      <th>flow_freq_med</th>\n",
-       "      <th>n_tx_total_med</th>\n",
-       "      <th>avg_n_isin_held_med</th>\n",
-       "      <th>n_isin_total_med</th>\n",
-       "      <th>avg_holding_months_per_isin_med</th>\n",
-       "      <th>exit_rate_per_isin_med</th>\n",
-       "      <th>flow_direction_balance_med</th>\n",
-       "      <th>redemption_bias_med</th>\n",
-       "      <th>aum_drawdown_last_med</th>\n",
-       "      <th>aum_final_to_peak_med</th>\n",
-       "      <th>corr_flow_fund_lag3_med</th>\n",
-       "      <th>corr_flow_fund_lag6_med</th>\n",
-       "      <th>corr_flow_rate_lag3_med</th>\n",
-       "      <th>corr_flow_rate_lag6_med</th>\n",
-       "      <th>corr_flow_bench_lag3_med</th>\n",
-       "      <th>corr_flow_bench_lag6_med</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k5</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>252</td>\n",
-       "      <td>48109.772405</td>\n",
-       "      <td>5.274532</td>\n",
-       "      <td>0.986577</td>\n",
-       "      <td>1338.5</td>\n",
-       "      <td>9.132276</td>\n",
-       "      <td>20.5</td>\n",
-       "      <td>39.006111</td>\n",
-       "      <td>0.579796</td>\n",
-       "      <td>0.098689</td>\n",
-       "      <td>-1.008736</td>\n",
-       "      <td>2.602536e-01</td>\n",
-       "      <td>0.739746</td>\n",
-       "      <td>0.026895</td>\n",
-       "      <td>0.014226</td>\n",
-       "      <td>-0.009377</td>\n",
-       "      <td>-0.014814</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>84</td>\n",
-       "      <td>49000.494283</td>\n",
-       "      <td>1.877722</td>\n",
-       "      <td>0.226496</td>\n",
-       "      <td>16.5</td>\n",
-       "      <td>1.433694</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>27.176471</td>\n",
-       "      <td>0.205263</td>\n",
-       "      <td>0.539178</td>\n",
-       "      <td>-0.234454</td>\n",
-       "      <td>2.993803e-02</td>\n",
-       "      <td>0.970062</td>\n",
-       "      <td>0.007295</td>\n",
-       "      <td>-0.001797</td>\n",
-       "      <td>0.022796</td>\n",
-       "      <td>0.034307</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>73</td>\n",
-       "      <td>391396.844698</td>\n",
-       "      <td>4.520165</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>9683.0</td>\n",
-       "      <td>34.607692</td>\n",
-       "      <td>59.0</td>\n",
-       "      <td>62.220339</td>\n",
-       "      <td>0.622951</td>\n",
-       "      <td>0.026428</td>\n",
-       "      <td>-1.067148</td>\n",
-       "      <td>9.427729e-02</td>\n",
-       "      <td>0.905723</td>\n",
-       "      <td>0.116467</td>\n",
-       "      <td>0.096215</td>\n",
-       "      <td>-0.125981</td>\n",
-       "      <td>-0.089640</td>\n",
-       "      <td>-0.018484</td>\n",
-       "      <td>0.002329</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>10</td>\n",
-       "      <td>130579.662288</td>\n",
-       "      <td>24.008163</td>\n",
-       "      <td>0.980769</td>\n",
-       "      <td>4383.5</td>\n",
-       "      <td>9.309615</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>27.651977</td>\n",
-       "      <td>0.352542</td>\n",
-       "      <td>-0.024961</td>\n",
-       "      <td>-1.016636</td>\n",
-       "      <td>1.313516e-01</td>\n",
-       "      <td>0.868648</td>\n",
-       "      <td>0.000878</td>\n",
-       "      <td>0.001310</td>\n",
-       "      <td>0.008806</td>\n",
-       "      <td>0.011620</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>59193.615277</td>\n",
-       "      <td>6.061456</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2414.0</td>\n",
-       "      <td>43.123077</td>\n",
-       "      <td>103.0</td>\n",
-       "      <td>54.427184</td>\n",
-       "      <td>0.728155</td>\n",
-       "      <td>0.015762</td>\n",
-       "      <td>-1.017068</td>\n",
-       "      <td>1.076916e-14</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.163810</td>\n",
-       "      <td>-0.062279</td>\n",
-       "      <td>-0.241822</td>\n",
-       "      <td>-0.208029</td>\n",
-       "      <td>0.235343</td>\n",
-       "      <td>-0.239479</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            n_clients  aum_qty_mean_med  gross_flow_to_aum_med  flow_freq_med  \\\n",
-       "cluster_k5                                                                      \n",
-       "2                 252      48109.772405               5.274532       0.986577   \n",
-       "0                  84      49000.494283               1.877722       0.226496   \n",
-       "1                  73     391396.844698               4.520165       1.000000   \n",
-       "4                  10     130579.662288              24.008163       0.980769   \n",
-       "3                   1      59193.615277               6.061456       1.000000   \n",
-       "\n",
-       "            n_tx_total_med  avg_n_isin_held_med  n_isin_total_med  \\\n",
-       "cluster_k5                                                          \n",
-       "2                   1338.5             9.132276              20.5   \n",
-       "0                     16.5             1.433694               2.0   \n",
-       "1                   9683.0            34.607692              59.0   \n",
-       "4                   4383.5             9.309615              45.5   \n",
-       "3                   2414.0            43.123077             103.0   \n",
-       "\n",
-       "            avg_holding_months_per_isin_med  exit_rate_per_isin_med  \\\n",
-       "cluster_k5                                                            \n",
-       "2                                 39.006111                0.579796   \n",
-       "0                                 27.176471                0.205263   \n",
-       "1                                 62.220339                0.622951   \n",
-       "4                                 27.651977                0.352542   \n",
-       "3                                 54.427184                0.728155   \n",
-       "\n",
-       "            flow_direction_balance_med  redemption_bias_med  \\\n",
-       "cluster_k5                                                    \n",
-       "2                             0.098689            -1.008736   \n",
-       "0                             0.539178            -0.234454   \n",
-       "1                             0.026428            -1.067148   \n",
-       "4                            -0.024961            -1.016636   \n",
-       "3                             0.015762            -1.017068   \n",
-       "\n",
-       "            aum_drawdown_last_med  aum_final_to_peak_med  \\\n",
-       "cluster_k5                                                 \n",
-       "2                    2.602536e-01               0.739746   \n",
-       "0                    2.993803e-02               0.970062   \n",
-       "1                    9.427729e-02               0.905723   \n",
-       "4                    1.313516e-01               0.868648   \n",
-       "3                    1.076916e-14               1.000000   \n",
-       "\n",
-       "            corr_flow_fund_lag3_med  corr_flow_fund_lag6_med  \\\n",
-       "cluster_k5                                                     \n",
-       "2                          0.026895                 0.014226   \n",
-       "0                          0.007295                -0.001797   \n",
-       "1                          0.116467                 0.096215   \n",
-       "4                          0.000878                 0.001310   \n",
-       "3                          0.163810                -0.062279   \n",
-       "\n",
-       "            corr_flow_rate_lag3_med  corr_flow_rate_lag6_med  \\\n",
-       "cluster_k5                                                     \n",
-       "2                         -0.009377                -0.014814   \n",
-       "0                          0.022796                 0.034307   \n",
-       "1                         -0.125981                -0.089640   \n",
-       "4                          0.008806                 0.011620   \n",
-       "3                         -0.241822                -0.208029   \n",
-       "\n",
-       "            corr_flow_bench_lag3_med  corr_flow_bench_lag6_med  \n",
-       "cluster_k5                                                      \n",
-       "2                                NaN                       NaN  \n",
-       "0                                NaN                       NaN  \n",
-       "1                          -0.018484                  0.002329  \n",
-       "4                                NaN                       NaN  \n",
-       "3                           0.235343                 -0.239479  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== K=6 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_mean_med</th>\n",
-       "      <th>gross_flow_to_aum_med</th>\n",
-       "      <th>flow_freq_med</th>\n",
-       "      <th>n_tx_total_med</th>\n",
-       "      <th>avg_n_isin_held_med</th>\n",
-       "      <th>n_isin_total_med</th>\n",
-       "      <th>avg_holding_months_per_isin_med</th>\n",
-       "      <th>exit_rate_per_isin_med</th>\n",
-       "      <th>flow_direction_balance_med</th>\n",
-       "      <th>redemption_bias_med</th>\n",
-       "      <th>aum_drawdown_last_med</th>\n",
-       "      <th>aum_final_to_peak_med</th>\n",
-       "      <th>corr_flow_fund_lag3_med</th>\n",
-       "      <th>corr_flow_fund_lag6_med</th>\n",
-       "      <th>corr_flow_rate_lag3_med</th>\n",
-       "      <th>corr_flow_rate_lag6_med</th>\n",
-       "      <th>corr_flow_bench_lag3_med</th>\n",
-       "      <th>corr_flow_bench_lag6_med</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k6</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>253</td>\n",
-       "      <td>48896.531271</td>\n",
-       "      <td>5.278802</td>\n",
-       "      <td>0.989247</td>\n",
-       "      <td>1383.0</td>\n",
-       "      <td>9.484615</td>\n",
-       "      <td>21.0</td>\n",
-       "      <td>39.040000</td>\n",
-       "      <td>0.580645</td>\n",
-       "      <td>0.091049</td>\n",
-       "      <td>-1.008962e+00</td>\n",
-       "      <td>2.559036e-01</td>\n",
-       "      <td>0.744096</td>\n",
-       "      <td>0.027031</td>\n",
-       "      <td>0.014335</td>\n",
-       "      <td>-0.003210</td>\n",
-       "      <td>-0.010739</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>85</td>\n",
-       "      <td>48759.866216</td>\n",
-       "      <td>1.854909</td>\n",
-       "      <td>0.230769</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>1.436620</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>25.352941</td>\n",
-       "      <td>0.210526</td>\n",
-       "      <td>0.534613</td>\n",
-       "      <td>-2.381395e-01</td>\n",
-       "      <td>2.313075e-02</td>\n",
-       "      <td>0.976869</td>\n",
-       "      <td>0.009550</td>\n",
-       "      <td>-0.000508</td>\n",
-       "      <td>0.022261</td>\n",
-       "      <td>0.033446</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>70</td>\n",
-       "      <td>408912.283887</td>\n",
-       "      <td>4.434973</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>9639.0</td>\n",
-       "      <td>34.826538</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>65.085456</td>\n",
-       "      <td>0.613200</td>\n",
-       "      <td>0.028370</td>\n",
-       "      <td>-1.066758e+00</td>\n",
-       "      <td>9.226326e-02</td>\n",
-       "      <td>0.907737</td>\n",
-       "      <td>0.117652</td>\n",
-       "      <td>0.100263</td>\n",
-       "      <td>-0.128728</td>\n",
-       "      <td>-0.090843</td>\n",
-       "      <td>-0.018484</td>\n",
-       "      <td>0.002329</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>10</td>\n",
-       "      <td>130579.662288</td>\n",
-       "      <td>24.008163</td>\n",
-       "      <td>0.980769</td>\n",
-       "      <td>4383.5</td>\n",
-       "      <td>9.309615</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>27.651977</td>\n",
-       "      <td>0.352542</td>\n",
-       "      <td>-0.024961</td>\n",
-       "      <td>-1.016636e+00</td>\n",
-       "      <td>1.313516e-01</td>\n",
-       "      <td>0.868648</td>\n",
-       "      <td>0.000878</td>\n",
-       "      <td>0.001310</td>\n",
-       "      <td>0.008806</td>\n",
-       "      <td>0.011620</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>59193.615277</td>\n",
-       "      <td>6.061456</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2414.0</td>\n",
-       "      <td>43.123077</td>\n",
-       "      <td>103.0</td>\n",
-       "      <td>54.427184</td>\n",
-       "      <td>0.728155</td>\n",
-       "      <td>0.015762</td>\n",
-       "      <td>-1.017068e+00</td>\n",
-       "      <td>1.076916e-14</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.163810</td>\n",
-       "      <td>-0.062279</td>\n",
-       "      <td>-0.241822</td>\n",
-       "      <td>-0.208029</td>\n",
-       "      <td>0.235343</td>\n",
-       "      <td>-0.239479</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>1</td>\n",
-       "      <td>75884.615385</td>\n",
-       "      <td>4.849468</td>\n",
-       "      <td>0.282051</td>\n",
-       "      <td>16.0</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>39.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.152174</td>\n",
-       "      <td>-6.666667e+12</td>\n",
-       "      <td>6.853147e-01</td>\n",
-       "      <td>0.314685</td>\n",
-       "      <td>-0.135836</td>\n",
-       "      <td>0.145882</td>\n",
-       "      <td>-0.113162</td>\n",
-       "      <td>-0.214312</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            n_clients  aum_qty_mean_med  gross_flow_to_aum_med  flow_freq_med  \\\n",
-       "cluster_k6                                                                      \n",
-       "4                 253      48896.531271               5.278802       0.989247   \n",
-       "2                  85      48759.866216               1.854909       0.230769   \n",
-       "0                  70     408912.283887               4.434973       1.000000   \n",
-       "1                  10     130579.662288              24.008163       0.980769   \n",
-       "3                   1      59193.615277               6.061456       1.000000   \n",
-       "5                   1      75884.615385               4.849468       0.282051   \n",
-       "\n",
-       "            n_tx_total_med  avg_n_isin_held_med  n_isin_total_med  \\\n",
-       "cluster_k6                                                          \n",
-       "4                   1383.0             9.484615              21.0   \n",
-       "2                     20.0             1.436620               3.0   \n",
-       "0                   9639.0            34.826538              60.0   \n",
-       "1                   4383.5             9.309615              45.5   \n",
-       "3                   2414.0            43.123077             103.0   \n",
-       "5                     16.0             1.000000               1.0   \n",
-       "\n",
-       "            avg_holding_months_per_isin_med  exit_rate_per_isin_med  \\\n",
-       "cluster_k6                                                            \n",
-       "4                                 39.040000                0.580645   \n",
-       "2                                 25.352941                0.210526   \n",
-       "0                                 65.085456                0.613200   \n",
-       "1                                 27.651977                0.352542   \n",
-       "3                                 54.427184                0.728155   \n",
-       "5                                 39.000000                0.000000   \n",
-       "\n",
-       "            flow_direction_balance_med  redemption_bias_med  \\\n",
-       "cluster_k6                                                    \n",
-       "4                             0.091049        -1.008962e+00   \n",
-       "2                             0.534613        -2.381395e-01   \n",
-       "0                             0.028370        -1.066758e+00   \n",
-       "1                            -0.024961        -1.016636e+00   \n",
-       "3                             0.015762        -1.017068e+00   \n",
-       "5                             0.152174        -6.666667e+12   \n",
-       "\n",
-       "            aum_drawdown_last_med  aum_final_to_peak_med  \\\n",
-       "cluster_k6                                                 \n",
-       "4                    2.559036e-01               0.744096   \n",
-       "2                    2.313075e-02               0.976869   \n",
-       "0                    9.226326e-02               0.907737   \n",
-       "1                    1.313516e-01               0.868648   \n",
-       "3                    1.076916e-14               1.000000   \n",
-       "5                    6.853147e-01               0.314685   \n",
-       "\n",
-       "            corr_flow_fund_lag3_med  corr_flow_fund_lag6_med  \\\n",
-       "cluster_k6                                                     \n",
-       "4                          0.027031                 0.014335   \n",
-       "2                          0.009550                -0.000508   \n",
-       "0                          0.117652                 0.100263   \n",
-       "1                          0.000878                 0.001310   \n",
-       "3                          0.163810                -0.062279   \n",
-       "5                         -0.135836                 0.145882   \n",
-       "\n",
-       "            corr_flow_rate_lag3_med  corr_flow_rate_lag6_med  \\\n",
-       "cluster_k6                                                     \n",
-       "4                         -0.003210                -0.010739   \n",
-       "2                          0.022261                 0.033446   \n",
-       "0                         -0.128728                -0.090843   \n",
-       "1                          0.008806                 0.011620   \n",
-       "3                         -0.241822                -0.208029   \n",
-       "5                         -0.113162                -0.214312   \n",
-       "\n",
-       "            corr_flow_bench_lag3_med  corr_flow_bench_lag6_med  \n",
-       "cluster_k6                                                      \n",
-       "4                                NaN                       NaN  \n",
-       "2                                NaN                       NaN  \n",
-       "0                          -0.018484                  0.002329  \n",
-       "1                                NaN                       NaN  \n",
-       "3                           0.235343                 -0.239479  \n",
-       "5                                NaN                       NaN  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== K=10 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_mean_med</th>\n",
-       "      <th>gross_flow_to_aum_med</th>\n",
-       "      <th>flow_freq_med</th>\n",
-       "      <th>n_tx_total_med</th>\n",
-       "      <th>avg_n_isin_held_med</th>\n",
-       "      <th>n_isin_total_med</th>\n",
-       "      <th>avg_holding_months_per_isin_med</th>\n",
-       "      <th>exit_rate_per_isin_med</th>\n",
-       "      <th>flow_direction_balance_med</th>\n",
-       "      <th>redemption_bias_med</th>\n",
-       "      <th>aum_drawdown_last_med</th>\n",
-       "      <th>aum_final_to_peak_med</th>\n",
-       "      <th>corr_flow_fund_lag3_med</th>\n",
-       "      <th>corr_flow_fund_lag6_med</th>\n",
-       "      <th>corr_flow_rate_lag3_med</th>\n",
-       "      <th>corr_flow_rate_lag6_med</th>\n",
-       "      <th>corr_flow_bench_lag3_med</th>\n",
-       "      <th>corr_flow_bench_lag6_med</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k10</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>113</td>\n",
-       "      <td>63010.409768</td>\n",
-       "      <td>3.947961</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1525.0</td>\n",
-       "      <td>10.853846</td>\n",
-       "      <td>23.0</td>\n",
-       "      <td>50.500000</td>\n",
-       "      <td>0.576923</td>\n",
-       "      <td>-0.150123</td>\n",
-       "      <td>-1.021636e+00</td>\n",
-       "      <td>5.794239e-01</td>\n",
-       "      <td>0.420576</td>\n",
-       "      <td>0.023201</td>\n",
-       "      <td>0.035668</td>\n",
-       "      <td>-0.023551</td>\n",
-       "      <td>-0.044320</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>110</td>\n",
-       "      <td>23499.160487</td>\n",
-       "      <td>5.396211</td>\n",
-       "      <td>0.971825</td>\n",
-       "      <td>695.0</td>\n",
-       "      <td>6.411072</td>\n",
-       "      <td>15.0</td>\n",
-       "      <td>33.385294</td>\n",
-       "      <td>0.500000</td>\n",
-       "      <td>0.261299</td>\n",
-       "      <td>-1.000000e+00</td>\n",
-       "      <td>1.217922e-03</td>\n",
-       "      <td>0.998782</td>\n",
-       "      <td>0.031597</td>\n",
-       "      <td>0.000212</td>\n",
-       "      <td>-0.053542</td>\n",
-       "      <td>-0.021419</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>56</td>\n",
-       "      <td>69604.137526</td>\n",
-       "      <td>1.597203</td>\n",
-       "      <td>0.096169</td>\n",
-       "      <td>5.5</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>32.303571</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.411282</td>\n",
-       "      <td>-1.038075e-01</td>\n",
-       "      <td>1.023987e-01</td>\n",
-       "      <td>0.897601</td>\n",
-       "      <td>0.017582</td>\n",
-       "      <td>-0.003086</td>\n",
-       "      <td>0.030811</td>\n",
-       "      <td>0.030144</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>55</td>\n",
-       "      <td>112893.522820</td>\n",
-       "      <td>3.412073</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2817.0</td>\n",
-       "      <td>17.783333</td>\n",
-       "      <td>32.0</td>\n",
-       "      <td>36.075000</td>\n",
-       "      <td>0.567164</td>\n",
-       "      <td>0.247587</td>\n",
-       "      <td>-1.017058e+00</td>\n",
-       "      <td>1.823180e-02</td>\n",
-       "      <td>0.981768</td>\n",
-       "      <td>0.024635</td>\n",
-       "      <td>0.036707</td>\n",
-       "      <td>0.144550</td>\n",
-       "      <td>0.179594</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>49</td>\n",
-       "      <td>560168.667962</td>\n",
-       "      <td>4.651358</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>12261.0</td>\n",
-       "      <td>39.669231</td>\n",
-       "      <td>64.0</td>\n",
-       "      <td>66.357143</td>\n",
-       "      <td>0.630952</td>\n",
-       "      <td>0.030313</td>\n",
-       "      <td>-1.079437e+00</td>\n",
-       "      <td>2.594109e-02</td>\n",
-       "      <td>0.974059</td>\n",
-       "      <td>0.136713</td>\n",
-       "      <td>0.120367</td>\n",
-       "      <td>-0.145236</td>\n",
-       "      <td>-0.105743</td>\n",
-       "      <td>-0.009615</td>\n",
-       "      <td>0.012359</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>25</td>\n",
-       "      <td>57501.203108</td>\n",
-       "      <td>17.261817</td>\n",
-       "      <td>0.959184</td>\n",
-       "      <td>1528.0</td>\n",
-       "      <td>6.569231</td>\n",
-       "      <td>21.0</td>\n",
-       "      <td>31.894737</td>\n",
-       "      <td>0.775000</td>\n",
-       "      <td>0.023211</td>\n",
-       "      <td>-1.001768e+00</td>\n",
-       "      <td>5.792661e-01</td>\n",
-       "      <td>0.420734</td>\n",
-       "      <td>0.033544</td>\n",
-       "      <td>0.005462</td>\n",
-       "      <td>0.008353</td>\n",
-       "      <td>0.011572</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>9</td>\n",
-       "      <td>194997.827408</td>\n",
-       "      <td>18.003149</td>\n",
-       "      <td>0.984615</td>\n",
-       "      <td>7055.0</td>\n",
-       "      <td>11.907692</td>\n",
-       "      <td>51.0</td>\n",
-       "      <td>29.066667</td>\n",
-       "      <td>0.400000</td>\n",
-       "      <td>-0.042623</td>\n",
-       "      <td>-1.023016e+00</td>\n",
-       "      <td>2.153833e-14</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.001358</td>\n",
-       "      <td>0.001471</td>\n",
-       "      <td>0.005738</td>\n",
-       "      <td>0.009084</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>1</td>\n",
-       "      <td>59193.615277</td>\n",
-       "      <td>6.061456</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2414.0</td>\n",
-       "      <td>43.123077</td>\n",
-       "      <td>103.0</td>\n",
-       "      <td>54.427184</td>\n",
-       "      <td>0.728155</td>\n",
-       "      <td>0.015762</td>\n",
-       "      <td>-1.017068e+00</td>\n",
-       "      <td>1.076916e-14</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.163810</td>\n",
-       "      <td>-0.062279</td>\n",
-       "      <td>-0.241822</td>\n",
-       "      <td>-0.208029</td>\n",
-       "      <td>0.235343</td>\n",
-       "      <td>-0.239479</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>1</td>\n",
-       "      <td>216280.070269</td>\n",
-       "      <td>4.400942</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>8591.0</td>\n",
-       "      <td>44.053846</td>\n",
-       "      <td>78.0</td>\n",
-       "      <td>73.423077</td>\n",
-       "      <td>0.551282</td>\n",
-       "      <td>0.223073</td>\n",
-       "      <td>-1.034850e+00</td>\n",
-       "      <td>2.553513e-15</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.135939</td>\n",
-       "      <td>0.057736</td>\n",
-       "      <td>-0.124601</td>\n",
-       "      <td>-0.139955</td>\n",
-       "      <td>-0.287599</td>\n",
-       "      <td>-0.015040</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>1</td>\n",
-       "      <td>75884.615385</td>\n",
-       "      <td>4.849468</td>\n",
-       "      <td>0.282051</td>\n",
-       "      <td>16.0</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>39.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.152174</td>\n",
-       "      <td>-6.666667e+12</td>\n",
-       "      <td>6.853147e-01</td>\n",
-       "      <td>0.314685</td>\n",
-       "      <td>-0.135836</td>\n",
-       "      <td>0.145882</td>\n",
-       "      <td>-0.113162</td>\n",
-       "      <td>-0.214312</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             n_clients  aum_qty_mean_med  gross_flow_to_aum_med  \\\n",
-       "cluster_k10                                                       \n",
-       "1                  113      63010.409768               3.947961   \n",
-       "8                  110      23499.160487               5.396211   \n",
-       "3                   56      69604.137526               1.597203   \n",
-       "2                   55     112893.522820               3.412073   \n",
-       "4                   49     560168.667962               4.651358   \n",
-       "0                   25      57501.203108              17.261817   \n",
-       "6                    9     194997.827408              18.003149   \n",
-       "5                    1      59193.615277               6.061456   \n",
-       "7                    1     216280.070269               4.400942   \n",
-       "9                    1      75884.615385               4.849468   \n",
-       "\n",
-       "             flow_freq_med  n_tx_total_med  avg_n_isin_held_med  \\\n",
-       "cluster_k10                                                       \n",
-       "1                 1.000000          1525.0            10.853846   \n",
-       "8                 0.971825           695.0             6.411072   \n",
-       "3                 0.096169             5.5             1.000000   \n",
-       "2                 1.000000          2817.0            17.783333   \n",
-       "4                 1.000000         12261.0            39.669231   \n",
-       "0                 0.959184          1528.0             6.569231   \n",
-       "6                 0.984615          7055.0            11.907692   \n",
-       "5                 1.000000          2414.0            43.123077   \n",
-       "7                 1.000000          8591.0            44.053846   \n",
-       "9                 0.282051            16.0             1.000000   \n",
-       "\n",
-       "             n_isin_total_med  avg_holding_months_per_isin_med  \\\n",
-       "cluster_k10                                                      \n",
-       "1                        23.0                        50.500000   \n",
-       "8                        15.0                        33.385294   \n",
-       "3                         2.0                        32.303571   \n",
-       "2                        32.0                        36.075000   \n",
-       "4                        64.0                        66.357143   \n",
-       "0                        21.0                        31.894737   \n",
-       "6                        51.0                        29.066667   \n",
-       "5                       103.0                        54.427184   \n",
-       "7                        78.0                        73.423077   \n",
-       "9                         1.0                        39.000000   \n",
-       "\n",
-       "             exit_rate_per_isin_med  flow_direction_balance_med  \\\n",
-       "cluster_k10                                                       \n",
-       "1                          0.576923                   -0.150123   \n",
-       "8                          0.500000                    0.261299   \n",
-       "3                          0.000000                    0.411282   \n",
-       "2                          0.567164                    0.247587   \n",
-       "4                          0.630952                    0.030313   \n",
-       "0                          0.775000                    0.023211   \n",
-       "6                          0.400000                   -0.042623   \n",
-       "5                          0.728155                    0.015762   \n",
-       "7                          0.551282                    0.223073   \n",
-       "9                          0.000000                    0.152174   \n",
-       "\n",
-       "             redemption_bias_med  aum_drawdown_last_med  \\\n",
-       "cluster_k10                                               \n",
-       "1                  -1.021636e+00           5.794239e-01   \n",
-       "8                  -1.000000e+00           1.217922e-03   \n",
-       "3                  -1.038075e-01           1.023987e-01   \n",
-       "2                  -1.017058e+00           1.823180e-02   \n",
-       "4                  -1.079437e+00           2.594109e-02   \n",
-       "0                  -1.001768e+00           5.792661e-01   \n",
-       "6                  -1.023016e+00           2.153833e-14   \n",
-       "5                  -1.017068e+00           1.076916e-14   \n",
-       "7                  -1.034850e+00           2.553513e-15   \n",
-       "9                  -6.666667e+12           6.853147e-01   \n",
-       "\n",
-       "             aum_final_to_peak_med  corr_flow_fund_lag3_med  \\\n",
-       "cluster_k10                                                   \n",
-       "1                         0.420576                 0.023201   \n",
-       "8                         0.998782                 0.031597   \n",
-       "3                         0.897601                 0.017582   \n",
-       "2                         0.981768                 0.024635   \n",
-       "4                         0.974059                 0.136713   \n",
-       "0                         0.420734                 0.033544   \n",
-       "6                         1.000000                 0.001358   \n",
-       "5                         1.000000                 0.163810   \n",
-       "7                         1.000000                 0.135939   \n",
-       "9                         0.314685                -0.135836   \n",
-       "\n",
-       "             corr_flow_fund_lag6_med  corr_flow_rate_lag3_med  \\\n",
-       "cluster_k10                                                     \n",
-       "1                           0.035668                -0.023551   \n",
-       "8                           0.000212                -0.053542   \n",
-       "3                          -0.003086                 0.030811   \n",
-       "2                           0.036707                 0.144550   \n",
-       "4                           0.120367                -0.145236   \n",
-       "0                           0.005462                 0.008353   \n",
-       "6                           0.001471                 0.005738   \n",
-       "5                          -0.062279                -0.241822   \n",
-       "7                           0.057736                -0.124601   \n",
-       "9                           0.145882                -0.113162   \n",
-       "\n",
-       "             corr_flow_rate_lag6_med  corr_flow_bench_lag3_med  \\\n",
-       "cluster_k10                                                      \n",
-       "1                          -0.044320                       NaN   \n",
-       "8                          -0.021419                       NaN   \n",
-       "3                           0.030144                       NaN   \n",
-       "2                           0.179594                       NaN   \n",
-       "4                          -0.105743                 -0.009615   \n",
-       "0                           0.011572                       NaN   \n",
-       "6                           0.009084                       NaN   \n",
-       "5                          -0.208029                  0.235343   \n",
-       "7                          -0.139955                 -0.287599   \n",
-       "9                          -0.214312                       NaN   \n",
-       "\n",
-       "             corr_flow_bench_lag6_med  \n",
-       "cluster_k10                            \n",
-       "1                                 NaN  \n",
-       "8                                 NaN  \n",
-       "3                                 NaN  \n",
-       "2                                 NaN  \n",
-       "4                            0.012359  \n",
-       "0                                 NaN  \n",
-       "6                                 NaN  \n",
-       "5                           -0.239479  \n",
-       "7                           -0.015040  \n",
-       "9                                 NaN  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "profile_vars = [\n",
-    "    \"aum_qty_mean\",\n",
-    "    \"gross_flow_to_aum\",\n",
-    "    \"flow_freq\",\n",
-    "    \"n_tx_total\",\n",
-    "    \"avg_n_isin_held\",\n",
-    "    \"n_isin_total\",\n",
-    "    \"avg_holding_months_per_isin\",\n",
-    "    \"exit_rate_per_isin\",\n",
-    "    \"flow_direction_balance\",\n",
-    "    \"redemption_bias\",\n",
-    "    \"aum_drawdown_last\",\n",
-    "    \"aum_final_to_peak\",\n",
-    "    \"corr_flow_fund_lag3\",\n",
-    "    \"corr_flow_fund_lag6\",\n",
-    "    \"corr_flow_rate_lag3\",\n",
-    "    \"corr_flow_rate_lag6\",\n",
-    "    \"corr_flow_bench_lag3\",\n",
-    "    \"corr_flow_bench_lag6\"\n",
-    "]\n",
-    "\n",
-    "profile_vars = [c for c in profile_vars if c in dfc.columns]\n",
-    "\n",
-    "for k in [2, 5, 6, 10]:\n",
-    "    print(f\"\\n===== K={k} =====\")\n",
-    "    prof = (\n",
-    "        dfc.groupby(f\"cluster_k{k}\")\n",
-    "        .agg(\n",
-    "            n_clients=(ID_COL, \"count\"),\n",
-    "            **{f\"{c}_med\": (c, \"median\") for c in profile_vars}\n",
-    "        )\n",
-    "        .sort_values(\"n_clients\", ascending=False)\n",
-    "    )\n",
-    "    display(prof)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 268,
-   "id": "993b081d-fc75-4d70-bfba-0c4c027cf540",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Analyse graphique des clusters\n",
-    "\n",
-    "thr_int = dfc[\"gross_flow_to_aum\"].median()\n",
-    "thr_freq = dfc[\"flow_freq\"].median()\n",
-    "\n",
-    "plt.figure()\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([4.0])].groupby(\"cluster_k5\"):\n",
-    "    plt.scatter(g[\"flow_freq\"], g[\"gross_flow_to_aum\"], s=10, label=name)\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_int, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.ylim(0.1,100)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 270,
-   "id": "fcc7e8fb-c99e-4c64-8d36-32923f997d91",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "thr_churn = dfc[\"aum_final_to_peak\"].median()\n",
-    "thr_freq = dfc[\"flow_freq\"].median()\n",
-    "\n",
-    "plt.figure()\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([3.0])].groupby(\"cluster_k5\"):\n",
-    "    plt.scatter(g[\"flow_freq\"], g[\"aum_final_to_peak\"], s=10, label=name)\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_churn, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.ylim(0.01,100)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 304,
-   "id": "4eb9cef0-c016-40c4-bb25-ebdaa941697c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1400x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1400x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1400x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "#heatmap\n",
-    "def robust_zscore_col(s):\n",
-    "    med = np.nanmedian(s)\n",
-    "    mad = np.nanmedian(np.abs(s - med))\n",
-    "    if mad == 0 or np.isnan(mad):\n",
-    "        return np.zeros(len(s))\n",
-    "    return (s - med) / (1.4826 * mad)\n",
-    "\n",
-    "for k in [2, 5, 10]:\n",
-    "    prof = dfc.groupby(f\"cluster_k{k}\")[profile_vars].median()\n",
-    "    prof_z = prof.copy()\n",
-    "\n",
-    "    for c in prof.columns:\n",
-    "        # prof_z[c] = robust_zscore_col(prof[c].values)\n",
-    "        prof_z[c] = (prof[c] - prof[c].mean()) / (prof[c].std() + 1e-12)\n",
-    "\n",
-    "    plt.figure(figsize=(14, 4))\n",
-    "    sns.heatmap(prof_z, cmap=\"RdBu_r\", center=0)\n",
-    "    plt.title(f\"Cluster signatures — K={k}\")\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 307,
-   "id": "ba4c495b-95d6-49d8-84a9-8d3fd674c975",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "from sklearn.metrics import pairwise_distances\n",
-    "\n",
-    "def plot_distance_matrix_sorted(X_scaled, labels, max_points=400, title=\"Distance matrix\"):\n",
-    "    \"\"\"\n",
-    "    Trace la matrice de distance triée par cluster avec des lignes séparatrices.\n",
-    "    \n",
-    "    Parameters\n",
-    "    ----------\n",
-    "    X_scaled : np.array ou pd.DataFrame\n",
-    "        Les données numériques standardisées (n_samples x n_features)\n",
-    "    labels : array-like\n",
-    "        Les labels de cluster pour chaque point\n",
-    "    max_points : int, optional\n",
-    "        Nombre maximum de points à afficher pour éviter des matrices trop grandes\n",
-    "    title : str, optional\n",
-    "        Titre de la figure\n",
-    "    \"\"\"\n",
-    "    n = X_scaled.shape[0]\n",
-    "    idx = np.arange(n)\n",
-    "\n",
-    "    # Sous-échantillonnage si nécessaire\n",
-    "    if n > max_points:\n",
-    "        rng = np.random.default_rng(42)\n",
-    "        idx = rng.choice(idx, size=max_points, replace=False)\n",
-    "\n",
-    "    X_sub = X_scaled[idx]\n",
-    "    labels_sub = np.asarray(labels)[idx]\n",
-    "\n",
-    "    # Tri par cluster\n",
-    "    order = np.lexsort((np.arange(len(labels_sub)), labels_sub))\n",
-    "    X_sub = X_sub[order]\n",
-    "    labels_sub = labels_sub[order]\n",
-    "\n",
-    "    # Matrice de distances\n",
-    "    D = pairwise_distances(X_sub)\n",
-    "\n",
-    "    # Figure\n",
-    "    plt.figure(figsize=(8, 7))\n",
-    "    sns.heatmap(D, cmap=\"viridis\")\n",
-    "    \n",
-    "    # Lignes séparatrices entre clusters\n",
-    "    unique_labels, counts = np.unique(labels_sub, return_counts=True)\n",
-    "    boundaries = np.cumsum(counts)\n",
-    "    for b in boundaries[:-1]:  # on ignore la dernière limite\n",
-    "        plt.axhline(b, color='red', linewidth=2)\n",
-    "        plt.axvline(b, color='red', linewidth=2)\n",
-    "\n",
-    "    plt.title(title)\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()\n",
-    "\n",
-    "for k in [2, 5, 10]:\n",
-    "    plot_distance_matrix_sorted(\n",
-    "        X_scaled,\n",
-    "        dfc[f\"cluster_k{k}\"].values,\n",
-    "        title=f\"Distance matrix triée — K={k}\"\n",
-    "    )\n",
-    "\n",
-    "# 2 premiers clusters assez distants"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 309,
-   "id": "3ceef678-6be4-40df-bbd5-c8b0f8b2d075",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "churn_hard       0.033333\n",
-      "churn_soft       0.204762\n",
-      "churn_warning    0.252381\n",
-      "dtype: float64\n",
-      "\n",
-      "===== CHURN PAR CLUSTER K=2 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>churn_hard_rate</th>\n",
-       "      <th>churn_soft_rate</th>\n",
-       "      <th>churn_warning_rate</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k2</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>302</td>\n",
-       "      <td>0.026490</td>\n",
-       "      <td>0.182119</td>\n",
-       "      <td>0.208609</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>118</td>\n",
-       "      <td>0.050847</td>\n",
-       "      <td>0.262712</td>\n",
-       "      <td>0.364407</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            n_clients  churn_hard_rate  churn_soft_rate  churn_warning_rate\n",
-       "cluster_k2                                                                 \n",
-       "0                 302         0.026490         0.182119            0.208609\n",
-       "1                 118         0.050847         0.262712            0.364407"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== CHURN PAR CLUSTER K=5 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>churn_hard_rate</th>\n",
-       "      <th>churn_soft_rate</th>\n",
-       "      <th>churn_warning_rate</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k5</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>252</td>\n",
-       "      <td>0.031746</td>\n",
-       "      <td>0.238095</td>\n",
-       "      <td>0.289683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>84</td>\n",
-       "      <td>0.011905</td>\n",
-       "      <td>0.083333</td>\n",
-       "      <td>0.083333</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>73</td>\n",
-       "      <td>0.068493</td>\n",
-       "      <td>0.232877</td>\n",
-       "      <td>0.301370</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>10</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.200000</td>\n",
-       "      <td>0.400000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            n_clients  churn_hard_rate  churn_soft_rate  churn_warning_rate\n",
-       "cluster_k5                                                                 \n",
-       "2                 252         0.031746         0.238095            0.289683\n",
-       "0                  84         0.011905         0.083333            0.083333\n",
-       "1                  73         0.068493         0.232877            0.301370\n",
-       "4                  10         0.000000         0.200000            0.400000\n",
-       "3                   1         0.000000         0.000000            0.000000"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Analyse churn\n",
-    "\n",
-    "dfc[\"churn_hard\"] = (dfc[\"aum_final_to_peak\"] < 0.10).astype(int)\n",
-    "\n",
-    "dfc[\"churn_soft\"] = (\n",
-    "    (dfc[\"aum_final_to_peak\"] < 0.40) &\n",
-    "    (dfc[\"aum_drawdown_last\"] > 0.40)\n",
-    ").astype(int)\n",
-    "\n",
-    "dfc[\"churn_warning\"] = (\n",
-    "    (dfc[\"flow_direction_balance\"] < 0) &\n",
-    "    (dfc[\"aum_drawdown_last\"] > 0.20)\n",
-    ").astype(int)\n",
-    "\n",
-    "print(dfc[[\"churn_hard\", \"churn_soft\", \"churn_warning\"]].mean())\n",
-    "\n",
-    "for k in [2, 5]:\n",
-    "    out = (\n",
-    "        dfc.groupby(f\"cluster_k{k}\")\n",
-    "        .agg(\n",
-    "            n_clients=(ID_COL, \"count\"),\n",
-    "            churn_hard_rate=(\"churn_hard\", \"mean\"),\n",
-    "            churn_soft_rate=(\"churn_soft\", \"mean\"),\n",
-    "            churn_warning_rate=(\"churn_warning\", \"mean\")\n",
-    "        )\n",
-    "        .sort_values(\"n_clients\", ascending=False)\n",
-    "    )\n",
-    "    print(f\"\\n===== CHURN PAR CLUSTER K={k} =====\")\n",
-    "    display(out)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 310,
-   "id": "d41ca763-0c29-4dad-9749-44a3773ad75a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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WwaIIsrOzdfr0aZ07d87WpaCMqVGjhm677TaenwIAAG45BIsiyAkVHh4eqlSpEh8CYVh2drbS0tKUlJQkSapdu7aNKwIAACgcgkUhmc1mS6hwdXW1dTkoQ5ydnSVJSUlJ8vDwYFgUAAC4pTB5u5By5lRUqlTJxpWgLMo5r5i7AwAAbjUEiyJi+BNKAucVAAC4VREsAAAAABhGsIBOnDghLy8v7du3z9al5LJu3Tq1bdu21PYXGRmpvn37ltr+AAAAygqCRTEyZ2WXyX0BAAAAN8KvQhUjk72dxn20S78nXSzR/TT2qKK3BrUq0X0Uh4yMDDk6Otq6jDxlZmbKwcHB1mUAAFAizFlmmezLx68LlqdjvdkRLIrZ70kXtffkeVuXkaesrCxFR0crNjZWp06dkpubmx555BH16dNHkpSYmKjXXntNe/bskaenp2bOnKlWra4FmMjISG3atEmffPKJpb/ly5dr5cqV+uabbyRJYWFhOn/+vPz8/LRq1So5Ojpq5cqV6t69uyIjIxUTE5Nn3wWxdetWvfbaazp9+rRat26t8PBweXh4SJL27NmjBQsW6L///a+uXr0qHx8fTZ48Wc2aNbNs7+XlpenTp+v777/Xtm3bFBISorFjx2rx4sVavny50tPTdf/996tmzZqG32cAAGzNZG9S2PdhOvL3EVuXUqLuqH6HZt8929Zl4P8jWJQj8+fP15o1azR58mS1adNGSUlJOnr0qGX9ggULFBoaKk9PTy1YsEATJ07UV199pQoVCn6axMfHq0qVKlq2bJnVciN9X758WUuXLtWcOXNkb2+vF154Qa+//rrmz58vSbp06ZIeeughTZ06VZK0dOlSjRw5Ul9++aWqVKli6eftt9/WxIkTNWXKFJlMJm3YsEGRkZGaNm2a2rRpo08++UQxMTGqV69egY8XAICb1ZG/j2hf6s03fxJlF8GinLh48aJWrlypadOmqV+/fpKk+vXrq23btjpx4oQkadiwYeratask6dlnn1Xv3r117NgxNWrUqMD7qVSpkl599VXLEKji6DszM1MzZ85U/fr1JUmDBw/Wu+++a1nfqVMnq/avvPKK2rZtq59//ln33HOPZfkDDzyg/v37W14/99xzevjhhzVgwABJ0oQJExQfH68rV64U+HgBAABwDZO3y4kjR44oIyNDHTt2zLeNl5eX5d/u7u6SpNTU1ELtp0mTJnnOqzDSt7OzsyVUSJKHh4dSUlIsr8+cOaOpU6fq3nvvVZs2bdSmTRulpaXp5MmTVv34+vpavT58+LBatGhhtaxly5YFqgkAAADWuGNRTlSsWPGGbf45mTnnQW1ZWVmW19nZ1r9EdfXq1Vx9ODs7F7rvG/n3cKl/1xIaGqpz585pypQpuv322+Xo6KhHHnkk19OreVo6AABAyeGORTnRoEEDOTk5adu2bUXavmbNmjpz5ozVB/qb5bkXv/zyix5//HF16dJFd955pxwdHXX27NkbbteoUSP9+uuvVsv+/RoAAAAFc1MEi1WrVqlbt27y8/PTgAEDtGfPnnzbfvXVVwoKClLbtm3VsmVL9e3bV3FxcVZtwsLC5OXlZfUXEhJSwkdxc6tYsaJGjBihuXPnKi4uTsePH9fu3bu1Zs2aAm3foUMHpaamasmSJTp+/LhWrVqlrVu3lnDVBdOgQQN9+umnOnz4sH799Vc9//zzcnJyuuF2TzzxhNauXau1a9fq6NGjioiI0KFDh0qhYgAAgLLH5kOhNmzYoPDwcM2cOVMtWrTQihUrFBISoo0bN8rV1TVX++rVq2vUqFG644475ODgoG+//VYvvviiXF1dFRAQYGkXEBCg8PBwy+vSep5CY48qN25ko32MHj1aJpNJERERSkpKkru7uwYNGlSgbRs1aqTp06dr0aJFWrhwoe69914NGzZMsbGxRaqlOM2aNUsvvfSS+vXrp9q1a2vChAmaM2fODbcLDAzU8ePHNXfuXF25ckX33XefHn30Uf3www+lUDUAAEDZYpf974HzpWzAgAHy8/PTtGnTJF0bd9+lSxc9/vjjGjlyZIH66Nevn7p06aLx48dL+t/zFP75y0GFYTabtXv3brVs2VImk/UDVy5fvqyjR4+qYcOGub4VN2dly2RvV6R9FrrGUtwXSs/1zq/Cut55DAAoHba8Fg/8bGCZ/7lZn5o+iu1j+y85y7LCnMM2HQqVkZGhvXv3yt/f37LM3t5e/v7+2rVr1w23z87OVnx8vI4ePap27dpZrduxY4c6deqk++67T9OnTy/QmHujSvODPqECAAAANxObDoU6e/aszGZzriFPrq6uOnIk/ydFXrhwQXfffbcyMjJkb2+v6dOn66677rKsDwgIUM+ePVW3bl0lJibqjTfe0IgRI7R69epCfVtgNpvzXJadnW35gzEjRozQzp0781w3cuRIPf3006VckW3lnFdmsznP868wcrY32g8AoOhsdS0ub3eq+X9dySnMe2vzORZFUblyZcXFxSktLU3x8fGaPXu26tWrpw4dOkiSevfubWmbM3m7R48elrsYBZWQkJDn8goVKig9Pb3AP5eK/E2ZMkWXL1/Oc1316tWVlpZWyhXZ1pUrV5SZman9+/cXW5/5nccAgNJTmtdiZ2dnNW3atNT2dzM4cOCA0tPTbV1GuWfTYOHi4iKTyWT1sDNJSklJkZubW77b2dvby9PTU5Lk4+Ojw4cPa/HixZZg8W/16tWTi4uLjh07Vqhg4efnl+cci2PHjsnZ2dnwGHhc+0Un/I+9vb0cHBzUuHHjYpljkZCQkOd5DAAoHVyLS8c/H8SL4pVzDheETYOFo6OjmjVrpvj4ePXo0UPStcnb8fHxCg4OLnA/WVlZysjIyHf96dOnde7cOcsTnwvKZDLlugiYTCbZ2dlZ/oDilHNe5XXuFVVx9gUAKBquxSWL9/bmYPOhUEOHDlVoaKh8fX3VvHlzrVixQunp6QoKCpIkTZo0SbVq1dLEiRMlSYsWLZKvr6/q16+vjIwMfffdd/r00081Y8YMSdKlS5f09ttv67777pObm5sSExM1d+5ceXp6Wv0cLQAAAIDiY/NgERgYqNTUVEVERCg5OVk+Pj6KioqyDIU6deqU7O3/9+NVaWlpmjlzpk6fPi0nJyfdcccdmjt3rgIDAyVdS6wHDx5UXFycLly4IA8PD911110aN25cqT3LAgAAAChvbB4sJCk4ODjfoU8xMTFWrydMmKAJEybk25eTk5Oio6OLtT4AAAAA12fT51gAAAAAKBsIFtCJEyfk5eWlffvK3tM5s7Oz9dJLL6l9+/Zl9hgBAABuBgSL4pRVig9nKc193cK+//57rV+/Xu+9955++OEH3XnnnfLy8tKmTZtsXRoAAECZclPMsSgz7E3S2uHSmYMlux+3JlL/qJLdRzHIyMiw+YT5xMREubu7q3Xr1jatAwAAoKwjWBS3MwelU7/auoo8ZWVlKTo6WrGxsTp16pTc3Nz0yCOPqE+fPpKufQh/7bXXtGfPHnl6emrmzJlq1aqVJCkyMlKbNm3SJ598Yulv+fLlWrlypb755htJUlhYmM6fPy8/Pz+tWrVKjo6OWrlypbp3767IyEjFxMTk2ff1/Pnnn3rllVe0c+dOZWZmqk6dOpo0aZK6dOkiSdqxY4fmzJmj/fv3q0aNGnrooYc0fvx4VahQQWFhYVq/fr2kaw/OqVOnjqXfMWPGSJLq1KljqR8AAABFR7AoR+bPn681a9Zo8uTJatOmjZKSknT06FHL+gULFig0NFSenp5asGCBJk6cqK+++koVKhT8NImPj1eVKlW0bNkyq+VF7fvll19WZmam3n//fVWqVEm///67KlWqJEn666+/NHLkSPXr10+vv/66jh49qqlTp6pixYoaO3aspkyZonr16ik2NlYff/yx5eE5nTp1Unh4uAICAnigDgAAQDEhWJQTFy9e1MqVKzVt2jT169dPklS/fn21bdtWJ06ckCQNGzZMXbt2lSQ9++yz6t27t44dO6ZGjRoVeD+VKlXSq6++ahkCZbTvkydP6r777pOXl5ckqV69epZ1H3zwgW677TZNmzZNdnZ2atSokf766y/NmzdPY8aMUdWqVVW5cmWZTKZcT12vVq1aoZ/EDgAAgPwxebucOHLkiDIyMtSxY8d82+R8eJdk+dCdmppaqP00adIkz3kVRe37iSee0MKFCzVo0CBFRERo//79lnWHDx9Wq1atZGdnZ1nWpk0bpaWl6fTp04WqGwAAAMYQLMqJihUr3rCNg4OD5d85H9azsrIsr7Ozs63aX716NVcfzs7Ohe77egYMGKBNmzapb9++OnjwoB5++OFcD00EAACA7REsyokGDRrIyclJ27ZtK9L2NWvW1JkzZ6zCRWk9E6J27dp69NFH9fbbb2vo0KGKjY2VJDVq1Ei7du2yqmnnzp2qXLmybrvttnz7c3BwkNnMz/UCAAAUJ4JFOVGxYkWNGDFCc+fOVVxcnI4fP67du3drzZo1Bdq+Q4cOSk1N1ZIlS3T8+HGtWrVKW7duLeGqpVmzZmnr1q1KTEzU3r17tX37dsu8jMcee0ynT5/WK6+8osOHD2vTpk2KjIzU0KFDZW+f/6ldp04dxcfHKzk5WX///XeJHwMAAEB5wOTt4ubW5Kbdx+jRo2UymRQREaGkpCS5u7tr0KBBBdq2UaNGmj59uhYtWqSFCxfq3nvv1bBhwyx3D0pKVlaWXn75ZZ0+fVpVqlRRQECAJk+eLEmqVauWFi9erDlz5ig2NlY1atTQww8/rFGjRl23z9DQUM2ePVtr1qxRrVq1+LlZAACAYmCX/e+B85DZbNbu3bvVsmXLXD9HevnyZR09elQNGzaUk5OT9YZZ5msPySsNpbkvlJrrnl+FdL3zGABQOmx5LR742UDtSy2dYcu24lPTR7F9SvZLzvKuMOcwQ6GKU2l+0CdUAAAA4CbCUCjY1PDhw7Vz58481z311FN6+umnS7kiAAAAFAXBAjY1a9YsXb58Oc911atXL+VqAAAAUFQEC9hUrVq1bF0CAAAAigFzLAAAAAAYRrAAAAAAYBjBAgAAAIBhBAsAAAAAhhEsAAAAABhGsIBOnDghLy8v7dtXtp/OaQTvEQAAwPXxc7PFyJxllqmUnohdmvuCVLt2bf3www9ycXGxdSkAAAA3JYJFMTLZmxT2fZiO/H2kRPdzR/U7NPvu2SW6j+KQkZEhR0dHW5dxXWazWXZ2drK3v/7NO5PJJHd391KqCgAA4NbDUKhiduTvI9qXuq9E/4oaXLKysrRkyRL17NlTvr6+6tq1qxYuXGhZn5iYqMcff1wtWrTQgw8+qF27dlnWRUZGqm/fvlb9LV++XN26dbO8DgsL0+jRo7Vw4UJ17txZvXr1sgwh+uqrr/LtOz/Z2dnq2LGjNm7caFnWt29fde7c2fL6//7v/+Tr66v09HRJ0rJly9SnTx+1bNlSXbp00YwZM3Tp0iVL+3Xr1qlt27bavHmzAgMD5efnp5MnT6pbt2567733NHnyZLVq1Updu3bV6tWrLdv9eyjU9u3b5eXlpfj4eAUFBalFixYaNGiQjhyx/m/z7rvvqlOnTmrVqpWmTJmiefPm5XofAQAAygKCRTkyf/58LVmyRKNHj9aGDRs0b948ubm5WdYvWLBAISEhiouLU4MGDTRx4kRdvXq1UPuIj4/X0aNHtWzZMi1atMhQ33Z2dmrXrp127NghSfr77791+PBhXb58WYcPH5Yk/fzzz/Lz85Ozs7NlmylTpug///mPZs+erW3btmnu3LlW/V6+fFlLlizRq6++qv/85z9ydXWVdC2U+Pr6Ki4uTo899phmzJiRKyj824IFCxQWFqa1a9fKZDLpxRdftKz79NNP9d577+n555/XunXrVLt2bX344YcFfCcBAABuLQSLcuLixYtauXKlXnjhBfXr10/169dX27ZtNWDAAEubYcOGqWvXrmrYsKGeffZZ/fnnnzp27Fih9lOpUiW9+uqruvPOO3XnnXca7rt9+/aWYPHzzz+radOmVst27Nih9u3bW9oPGTJEHTt2VN26ddWpUyeNHz9eX3zxhVWfmZmZmjFjhlq3bq077rjDEkruvvtuDR48WJ6enhoxYoRcXFy0ffv269Y3YcIEtW/fXo0bN9bIkSO1a9cuXblyRZL0/vvv6+GHH1b//v3VsGFDPfPMM2rSpEkB3kUAAIBbD8GinDhy5IgyMjLUsWPHfNt4eXlZ/p0znyA1NbVQ+2nSpEme8yqK2ne7du30+++/KzU1VT///LPat29vCRaZmZnatWuXVbD46aef9OSTTyogIECtWrXSpEmTdO7cOctQKUlycHCwqievGu3s7OTm5qaUlJTr1pfXceVsc/ToUTVv3tyq/b9fAwAAlBUEi3KiYsWKN2zj4OBg+bednZ2ka/Mycl5nZ2dbtc9rKFPOt/+F6ft6vLy8VL16de3YscMSLDp06KCff/5ZCQkJunr1qlq1aiXp2jyIp556Sl5eXoqMjNS6des0bdo0SdfuUuRwcnKy1PBPFSpY/5ZBXsd8vW0Kc1wAAABlzU0RLFatWqVu3brJz89PAwYM0J49e/Jt+9VXXykoKEht27ZVy5Yt1bdvX8XFxVm1yc7O1ltvvaXOnTurefPmGjJkiP7444+SPYibXIMGDeTk5KRt27YVafuaNWvqzJkzVh+0S+OZDnZ2dpbJ1ocOHVKbNm3k5eWljIwMrV69Wr6+vqpUqZIkae/evcrOzlZYWJhatmyphg0bKikpqcRrzE/Dhg2VkJBgtezfrwEAAMoKmweLDRs2KDw8XGPGjNH69evl7e2tkJCQfIegVK9eXaNGjdLq1av16aefKigoSC+++KK2bt1qabNkyRLFxMRoxowZio2NlbOzs0JCQixj38ujihUrasSIEZo7d67i4uJ0/Phx7d69W2vWrCnQ9h06dFBqaqqWLFmi48ePa9WqVVbveUlq3769Pv/8c/n4+Khy5cqyt7dX27Zt9dlnn6ldu3aWdp6ensrMzFRMTIwSExMVFxenjz76qFRqzEtwcLA+/vhjrV+/Xn/88YfeffddHThwIM+7JQAAALc6mz/HYtmyZRo4cKD69+8vSZo5c6a2bNmitWvXauTIkbnad+jQwer1k08+qbi4OO3cuVMBAQHKzs7WypUrNWrUKPXo0UOSNGfOHPn7+2vTpk3q3bt3iR7PHdXvKNH+jexj9OjRMplMioiIUFJSktzd3TVo0KACbduoUSNNnz5dixYt0sKFC3Xvvfdq2LBhio2NLVIthdG+fXuZzWaruRTt27fX5s2brZZ5e3tr8uTJWrJkid544w21bdtWzz33nEJDQ0u8xrw8+OCDSkxM1Ouvv64rV67o/vvvV79+/bhrAQAAyiS77BsNIi9BGRkZatmypSIiIiwhQJJCQ0N1/vx5q2cs5CU7O1vbtm3TqFGj9M477+iuu+5SYmKievToobi4OPn4+FjaBgcHy9vbW1OnTr1hXWazWbt375afn59MJuunW1++fFnHjh1Tw4YN5eTkZLUuKzurVJ+8bW9n8xtOKKRhw4bJzc1Nc+bMyXP95cuXdfToUXl6euY6vwrLbDYrISEhz/MYAFA6bHUtNplMGvjZQO1LLflhy7bkU9NHsX1iZTabbV1KmZVzDrds2fKG57BN71icPXtWZrPZ8hyBHK6urtd9fsCFCxd09913KyMjQ/b29po+fbruuusuSVJycrKlj3/3eebMmULVl983yxUqVFB6enquSbp2dnalNswlOzv7hhOLYVvp6elau3atOnXqJHt7e23cuFE//fSTFi5cqLS0tDy3uXLlijIzM7V///5iq4M7JABge6V5LXZ2dlbTpk1LbX83gwMHDlj9AiRsw+ZDoYqicuXKiouLU1pamuLj4zV79mzVq1cv1zApo653x8LZ2dnwN8qQRowYoZ07d+a5buTIkXr66adLuaLiY29vr/j4eEVHRysjI0MNGzZURESE7rnnnutu4+DgoMaNG3PHAgDKAK7FpSOvn5FH8cg5hwvCpsHCxcVFJpMp10TtlJQUqydC/5u9vb08PT0lST4+Pjp8+LAWL16sDh06WD1LwMPDw6pPb2/vQtVnMplyXQRMJpPlzgSTcI2bNWuWLl++nOe66tWr39LvsbOzs5YvX16obXLOq7zOvaIqzr4AAEXDtbhk8d7eHGwaLBwdHdWsWTPFx8db5lhkZWUpPj5ewcHBBe4nKytLGRkZkqS6devK3d1d8fHxljkWFy9e1K+//qpHH320+A8ChtSqVcvWJQAAAKAY2Hwo1NChQxUaGipfX181b95cK1asUHp6uoKCgiRJkyZNUq1atTRx4kRJ0qJFi+Tr66v69esrIyND3333nT799FPNmDFD0rVvfJ944gktXLhQnp6eqlu3rt566y15eHhYTRAHAAAAUHxsHiwCAwOVmpqqiIgIJScny8fHR1FRUZahUKdOnZK9/f9+/SgtLU0zZ87U6dOn5eTkpDvuuENz585VYGCgpc2IESOUnp6uadOm6fz582rTpo2ioqIK9PTpgmLiNEoC5xUAALhV2TxYSNd+Cja/oU8xMTFWrydMmKAJEyZctz87OzuNGzdO48aNK7Yaczg4OEi6FnCcnZ2LvX+Ubzm/FpVzngEAANwqbopgcSsxmUyqUaOGkpKSJEmVKlW6pScY4+aQnZ2ttLQ0JSUlqUaNGkxCAwAAtxyCRRHcdtttkmQJF0BxqVGjhuX8AgAAuJUQLIrAzs5OtWvXloeHhzIzM21dDsoIBwcH7lQAAIBbFsHCAH6TGgAAALjG/sZNAAAAAOD6CBYAAAAADCNYAAAAADCMYAEAAADAMIIFAAAAAMMIFgAAAAAMI1gAAAAAMIxgAQAAAMAwggUAAAAAwwgWAAAAAAwjWAAAAAAwjGABAAAAwDCCBQAAAADDCBYAAAAADCNYAAAAADCMYAEAAADAMIIFAAAAAMMIFgAAAAAMI1gAAACUIGdnZ1uXAJSKCrYuAAAAoFRkmSV7U6nu0mQyqWnTpqW6T8BWCBYAAKB8sDdJa4dLZw7aupKS1biH1H2aratAOUSwAAAA5ceZg9KpX21dRclya2LrClBOMccCAAAAgGEECwAAAACGESwAAAAAGHZTBItVq1apW7du8vPz04ABA7Rnz55828bGxuqxxx5Tu3bt1K5dOw0ZMiRX+7CwMHl5eVn9hYSElPRhAAAAAOWWzSdvb9iwQeHh4Zo5c6ZatGihFStWKCQkRBs3bpSrq2uu9tu3b1fv3r3VunVrOTo6KioqSsOGDdPnn3+uWrVqWdoFBAQoPDzc8trR0bFUjgcAAAAoj2x+x2LZsmUaOHCg+vfvr8aNG2vmzJlycnLS2rVr82w/f/58DR48WD4+PmrUqJFeffVVZWVlKT4+3qqdo6Oj3N3dLX/Vq1cvjcMBAAAAyiWbBouMjAzt3btX/v7+lmX29vby9/fXrl27CtRHenq6rl69mis47NixQ506ddJ9992n6dOn6+zZs8VaOwAAAID/selQqLNnz8psNuca8uTq6qojR44UqI958+bJw8PDKpwEBASoZ8+eqlu3rhITE/XGG29oxIgRWr16tUymgj9x02w2F7gtcLPJOX85jwHgmsJ8BsCthf/XlZzCvLc2n2NhxOLFi7VhwwatXLlSFStWtCzv3bu35d85k7d79OhhuYtRUAkJCcVaL2ALnMcAIDk7O6tp06a2LgMl5MCBA0pPT7d1GeWeTYOFi4uLTCaTUlJSrJanpKTIzc3tuttGR0dr8eLFWrZsmby9va/btl69enJxcdGxY8cKFSz8/Pz4dgO3LLPZrISEBM5jAECZ5+XlZesSyqyczxMFYdNg4ejoqGbNmik+Pl49evSQJMtE7ODg4Hy3W7Jkid577z1FR0fLz8/vhvs5ffq0zp07J3d390LVZzKZ+ECGWx7nMQCgrOP/czcHmw+FGjp0qEJDQ+Xr66vmzZtrxYoVSk9PV1BQkCRp0qRJqlWrliZOnCjp2vCniIgIzZ8/X3Xq1FFycrIkqVKlSqpcubIuXbqkt99+W/fdd5/c3NyUmJiouXPnytPTUwEBATY7TgAAAKAss3mwCAwMVGpqqiIiIpScnCwfHx9FRUVZhkKdOnVK9vb/+/Gqjz76SJmZmXr22Wet+nnmmWc0duxYmUwmHTx4UHFxcbpw4YI8PDx01113ady4cTzLAgAAACghNg8WkhQcHJzv0KeYmBir19988811+3JyclJ0dHSx1QYAAADgxmz+gDwAAAAAtz6CBQAAAADDCBYAAAAADCNYAAAAADCMYAEAAADAMIIFAAAAAMMIFgAAAAAMI1gAAAAAMIxgAQAAAMAwggUAAAAAwwgWAAAAAAwjWAAAAAAwjGABAAAAwDCCBQAAAADDCBYAAAAADCNYAAAAADCMYAEAAADAMIIFAAAAAMMIFgAAAAAMI1gAAAAAMIxgAQAAAMAwggUAAAAAwwgWAAAAAAwjWAAAAAAwjGABAAAAwDCCBQAAAADDCBYAAAAADCNYAChW5iyzrUsoNeXpWAEAuJEKRjY+duyYjh8/rnbt2snJyUnZ2dmys7MrrtoA3IJM9iaFfR+mI38fsXUpJeqO6ndo9t2zbV0GAAA3jSIFi7Nnz2rChAnatm2b7Ozs9NVXX6levXp68cUXVb16dYWFhRWqv1WrVik6OlrJycny9vbWSy+9pObNm+fZNjY2VnFxcTp06JAkqVmzZnruuees2mdnZysiIkJr1qzR+fPn1bp1a82YMUMNGjQoyuECKKQjfx/RvtR9ti4DAACUoiINhQoPD5fJZNKWLVvk5ORkWR4YGKitW7cWqq8NGzYoPDxcY8aM0fr16+Xt7a2QkBClpKTk2X779u3q3bu3Vq5cqY8++ki1a9fWsGHD9Ndff1naLFmyRDExMZoxY4ZiY2Pl7OyskJAQXblypSiHCwAAAOAGihQsfvzxR73wwgu67bbbrJY3aNBAJ0+eLFRfy5Yt08CBA9W/f381btxYM2fOlJOTk9auXZtn+/nz52vw4MHy8fFRo0aN9OqrryorK0vx8fGSrt2tWLlypUaNGqUePXrI29tbc+bMUVJSkjZt2lSUwwUAAABwA0UKFmlpaVZ3KnKcO3dOjo6OBe4nIyNDe/fulb+///8KsreXv7+/du3aVaA+0tPTdfXqVVWvXl2SdOLECSUnJ1v1WbVqVbVo0aLAfQIAAAAonCLNsWjbtq3i4uI0fvx4y7KsrCxFRUWpQ4cOBe7n7NmzMpvNcnV1tVru6uqqI0cKNvFz3rx58vDwsASJ5ORkSx//7vPMmTMFrk2SzGZ+8QW3rpzzt7TPY5PJVKr7szWuE8Cto7xdn8oTrsUlpzDvbZGCxQsvvKAhQ4bot99+U2ZmpubOnavff/9df//9tz788MOidFkkixcv1oYNG7Ry5UpVrFix2PtPSEgo9j6B0laa57Gzs7OaNm1aavu7GRw4cEDp6em2LgPADZTH61N5wrX45lCkYNGkSRN9+eWXev/991W5cmWlpaWpZ8+eGjx4sDw8PArcj4uLi0wmU66J2ikpKXJzc7vuttHR0Vq8eLGWLVsmb29vy3J3d3dLH/+sJSUlxapdQfj5+fHtBm5ZZrNZCQkJnMclzMvLy9YlAEC5x7W45OR8niiIIgWLkydPqnbt2ho1alSe626//fYC9ePo6KhmzZopPj5ePXr0kCTLROzg4OB8t1uyZInee+89RUdHy8/Pz2pd3bp15e7urvj4ePn4+EiSLl68qF9//VWPPvpoQQ9R0rVbpnwgw62O87hk8d4CgO1xLb45FGnydvfu3ZWamppr+dmzZ9W9e/dC9TV06FDFxsZq/fr1Onz4sGbMmKH09HQFBQVJkiZNmqT58+db2i9evFhvvfWWXnvtNdWpU0fJyclKTk7WpUuXJEl2dnZ64okntHDhQm3evFkHDhzQpEmT5OHhYQkvAAAAAIpXke5Y5PeE7bS0tELPdQgMDFRqaqoiIiKUnJwsHx8fRUVFWYZCnTp1Svb2/8s/H330kTIzM/Xss89a9fPMM89o7NixkqQRI0YoPT1d06ZN0/nz59WmTRtFRUWVyDwMAAAAAIUMFuHh4ZKu3RV488035ezsbFlnNpu1Z8+eQs9jkKTg4OB8hz7FxMRYvf7mm29u2J+dnZ3GjRuncePGFboWAAAAAIVXqGDx3//+V9K1OxYHDx6Ug4ODZZ2jo6O8vb01bNiw4q0QAAAAwE2vUMEi5+7B5MmTNWXKFFWpUqVEigIAAABwaynSHIucIVEAAAAAIBUxWEjXHrr1xRdf6NSpU8rMzLRa9/bbbxsuDAAAAMCto0g/N/v555/r0Ucf1ZEjR/T111/r6tWrOnTokLZt26aqVasWd40AAAAAbnJFChbvvfeeJk+erPfee08ODg6aMmWKNm7cqPvvv1+1a9cu7hoBAAAA3OSKFCwSExPVpUsXSdd+DSotLU12dnYaMmSIYmNji7VAAAAAADe/IgWLatWqWZ507eHhoUOHDkmSzp8/r/T09OKrDoAh/3zWDAAAQEkq0uTtdu3a6aeffpKXl5d69eqlWbNmadu2bfrpp5/UsWPH4q4RuPVlmSV7U6nu0mQyqWnTpqW6TwAAUH4VKVi89NJLunLliiRp1KhRcnBw0C+//KJ7772XB+QBebE3SWuHS2cO2rqSktW4h9R9mq2rAAAANlCkYFGjRg3Lv+3t7TVy5EhduXJFq1atUr9+/fTjjz8WV31A2XHmoHTqV1tXUbLcmti6AgAAYCOFChYZGRmKjIzUjz/+KEdHRw0fPlw9evTQ2rVr9eabb8pkMunJJ58sqVoBAAAA3KQKFSzeeustrV69Wv7+/vrll180btw4BQUFaffu3QoLC1OvXr1kMpXuOHIAAAAAtleoYLFx40a9/vrr6t69uw4ePKgHH3xQV69e1aeffio7O7uSqhEAAADATa5QPzf7119/ydfXV5LUpEkTOTo6asiQIYQKAAAAoJwrVLAwm81ycHCwvDaZTKpUqVKxFwUAAADg1lKooVDZ2dkKCwuTo6OjpGuTuWfMmJHrIVxvv/128VUIAAAA4KZXqGDRr18/q9cPPvhgsRYDAAAA4NZUqGARHh5eUnUAAAAAuIUVao4FAAAAAOSFYAEAAADAMIIFAAAAAMMIFgAAAAAMI1gAAAAAMIxgAQAAAMAwggUAAAAAwwgWAAAAAAwjWAAAAAAwjGABAAAAwDCCBQAAAADDbB4sVq1apW7dusnPz08DBgzQnj178m176NAhjR07Vt26dZOXl5eWL1+eq01kZKS8vLys/nr16lWCRwAAAADApsFiw4YNCg8P15gxY7R+/Xp5e3srJCREKSkpebZPT09X3bp1NXHiRLm7u+fb75133qkffvjB8vfBBx+U1CEAAAAAkI2DxbJlyzRw4ED1799fjRs31syZM+Xk5KS1a9fm2b558+YKDQ1V79695ejomG+/JpNJ7u7ulr+aNWuW1CEAAAAAkFTBVjvOyMjQ3r179dRTT1mW2dvby9/fX7t27TLU97Fjx9S5c2dVrFhRLVu21MSJE3X77bcXuh+z2WyoDiCHyWSydQkoIVwngFsH1+Kyi2txySnMe2uzYHH27FmZzWa5urpaLXd1ddWRI0eK3G/z5s0VHh6uhg0bKjk5We+8844GDx6szz77TFWqVClUXwkJCUWuA8jh7Oyspk2b2roMlJADBw4oPT3d1mUAuAGuxWUb1+Kbg82CRUnp0qWL5d/e3t5q0aKF7rnnHn3xxRcaMGBAofry8/Pj2w0A1+Xl5WXrEgCg3ONaXHLMZnOBv2y3WbBwcXGRyWTKNVE7JSVFbm5uxbafatWqqUGDBjp+/HihtzWZTAQLANfFNQIAbI9r8c3BZpO3HR0d1axZM8XHx1uWZWVlKT4+Xq1atSq2/Vy6dEmJiYnX/RUpAAAAAMbYdCjU0KFDFRoaKl9fXzVv3lwrVqxQenq6goKCJEmTJk1SrVq1NHHiREnXJnwfPnzY8u+//vpL+/btU6VKleTp6SlJev3113XPPffo9ttvV1JSkiIjI2Vvb68HHnjANgcJAAAAlAM2DRaBgYFKTU1VRESEkpOT5ePjo6ioKMtQqFOnTsne/n83VZKSkvTQQw9ZXi9dulRLly5V+/btFRMTI0k6ffq0nnvuOZ07d041a9ZUmzZtFBsby0/OAgAAACXI5pO3g4ODFRwcnOe6nLCQo27dujpw4MB1+1uwYEGx1QYAAACgYGz6gDwAAAAAZQPBAgAAAIBhBAsAAAAAhhEsAAAAABhGsAAAAABgGMECAAAAgGEECwAAAACGESwAAAAAGEawAAAAAGAYwQIAAACAYQQLAAAAAIYRLAAAAAAYRrAAAAAAYBjBAgAAAIBhBAsAAAAAhhEsAAAAABhGsAAAAABgGMECAAAAgGEECwAAAACGESwAAAAAGEawAAAAAGAYwQIAAACAYQQLAAAAAIYRLAAAAAAYRrAAAAAAYBjBAgAAAIBhBAsAAAAAhhEsAAAAABhGsAAAAABgmM2DxapVq9StWzf5+flpwIAB2rNnT75tDx06pLFjx6pbt27y8vLS8uXLDfcJAAAAwDibBosNGzYoPDxcY8aM0fr16+Xt7a2QkBClpKTk2T49PV1169bVxIkT5e7uXix9AgAAADDOpsFi2bJlGjhwoPr376/GjRtr5syZcnJy0tq1a/Ns37x5c4WGhqp3795ydHQslj4BAAAAGGezYJGRkaG9e/fK39//f8XY28vf31+7du26afoEAAAAcGMVbLXjs2fPymw2y9XV1Wq5q6urjhw5clP0aTabi1QH8G8mk8nWJaCEcJ0Abh1ci8sursUlpzDvrc2Cxa0gISHB1iWgDHB2dlbTpk1tXQZKyIEDB5Senm7rMgDcANfiso1r8c3BZsHCxcVFJpMp16TqlJQUubm53RR9+vn58e0GgOvy8vKydQkAUO5xLS45ZrO5wF+22yxYODo6qlmzZoqPj1ePHj0kSVlZWYqPj1dwcPBN0afJZCJYALgurhEAYHtci28ONh0KNXToUIWGhsrX11fNmzfXihUrlJ6erqCgIEnSpEmTVKtWLU2cOFHStcnZhw8ftvz7r7/+0r59+1SpUiV5enoWqE8AAAAAxc+mwSIwMFCpqamKiIhQcnKyfHx8FBUVZRm2dOrUKdnb/++Hq5KSkvTQQw9ZXi9dulRLly5V+/btFRMTU6A+AQAAABQ/m0/eDg4OzneYUk5YyFG3bl0dOHDAUJ8AAAAAip9NH5AHAAAAoGwgWAAAAAAwjGABAAAAwDCCBQAAAADDCBYAAAAADCNYAAAAADCMYAEAAADAMIIFAAAAAMMIFgAAAAAMI1gAAAAAMIxgAQAAAMAwggUAAAAAwwgWAAAAAAwjWAAAAAAwjGABAAAAwDCCBQAAAADDCBYAAAAADCNYAAAAADCMYAEAAADAMIIFAAAAAMMIFgAAAAAMI1gAAAAAMIxgAQAAAMAwggUAAAAAwwgWAAAAAAwjWAAAAAAwjGABAAAAwDCCBQAAAADDCBYAAAAADCNYAAAAADDspggWq1atUrdu3eTn56cBAwZoz549123/xRdfqFevXvLz81OfPn303XffWa0PCwuTl5eX1V9ISEhJHgIAAABQrtk8WGzYsEHh4eEaM2aM1q9fL29vb4WEhCglJSXP9r/88osmTpyohx9+WHFxcerevbvGjBmjgwcPWrULCAjQDz/8YPl74403SuNwAAAAgHLJ5sFi2bJlGjhwoPr376/GjRtr5syZcnJy0tq1a/Nsv3LlSgUEBGj48OFq1KiRxo8fr6ZNm+r999+3aufo6Ch3d3fLX/Xq1UvjcAAAAIByqYItd56RkaG9e/fqqaeesiyzt7eXv7+/du3alec2u3fv1pAhQ6yWde7cWZs2bbJatmPHDnXq1EnVqlVTx44dNX78eLm4uBSqPrPZXKj2QH5MJpOtS0AJ4ToB3Dq4FpddXItLTmHeW5sGi7Nnz8psNsvV1dVquaurq44cOZLnNmfOnJGbm1uu9mfOnLG8DggIUM+ePVW3bl0lJibqjTfe0IgRI7R69epCXVQSEhIKcTRA3pydndW0aVNbl4EScuDAAaWnp9u6DKBIHBwc5NO0mRwq8IEbtzauxTcHmwaLktK7d2/Lv3Mmb/fo0cNyF6Og/Pz8+HYDwHV5eXnZugTAEJPJpHEf7dLvSRdtXUqJ6urlrhfu87Z1GSghXItLjtlsLvCX7TYNFi4uLjKZTLkmaqekpOS6K5HDzc3N6u7EjdpLUr169eTi4qJjx44VKliYTCaCBYDr4hqBsuD3pIvae/K8rcsoUY3cK9u6BJQgrsU3B5tO3nZ0dFSzZs0UHx9vWZaVlaX4+Hi1atUqz21atmypbdu2WS376aef1LJly3z3c/r0aZ07d07u7u7FUjcAAAAAazb/VaihQ4cqNjZW69ev1+HDhzVjxgylp6crKChIkjRp0iTNnz/f0v6JJ57Q1q1btXTpUh0+fFiRkZH67bffFBwcLEm6dOmSXn/9de3evVsnTpxQfHy8Ro8eLU9PTwUEBNjkGAEAAICyzuZzLAIDA5WamqqIiAglJyfLx8dHUVFRlqFNp06dkr39//JP69atNW/ePL355pt644031KBBA73zzjtq0qSJpGu3wg4ePKi4uDhduHBBHh4euuuuuzRu3Dg5Ojra5BgBAACAss7mwUKSgoODLXcc/i0mJibXsvvvv1/3339/nu2dnJwUHR1drPUBAAAAuD6bD4UCAAAAcOsjWAAAAAAwjGABAAAAwDCCBQAAAADDCBYAAAAADCNYAAAAADCMYAEAAADAMIIFAAAAAMMIFgAAAAAMI1gAAAAAMIxgAQAAAMAwggUAAAAAwwgWsBlzVratSwAAAEAxqWDrAlB+meztNO6jXfo96aKtSylRXb3c9cJ93rYuAwAAoEQRLGBTvydd1N6T521dRolq5F7Z1iUAAACUOIZCAQAAADCMYAEAAADAMIIFAAAAAMMIFgAAAAAMI1gAAAAAMIxgAQAAAMAwggUAAAAAwwgWAAAAAAwjWAAAAAAwjGABAAAAwDCCBQAAAADDCBYAAAAADCNYAAAAADCMYAEAAADAsJsiWKxatUrdunWTn5+fBgwYoD179ly3/RdffKFevXrJz89Pffr00XfffWe1Pjs7W2+99ZY6d+6s5s2ba8iQIfrjjz9K8AgAAACA8s3mwWLDhg0KDw/XmDFjtH79enl7eyskJEQpKSl5tv/ll180ceJEPfzww4qLi1P37t01ZswYHTx40NJmyZIliomJ0YwZMxQbGytnZ2eFhIToypUrpXVYAAAAQLli82CxbNkyDRw4UP3791fjxo01c+ZMOTk5ae3atXm2X7lypQICAjR8+HA1atRI48ePV9OmTfX+++9Luna3YuXKlRo1apR69Oghb29vzZkzR0lJSdq0aVNpHhoAAABQbtg0WGRkZGjv3r3y9/e3LLO3t5e/v7927dqV5za7d+9Wp06drJZ17txZu3fvliSdOHFCycnJVn1WrVpVLVq0yLdPAAAAAMZUsOXOz549K7PZLFdXV6vlrq6uOnLkSJ7bnDlzRm5ubrnanzlzRpKUnJxsWZZfmxvJzs6WdC34mEymAm2DwjOZTPK5rbIqlvG3uIGrs8xms+TeTLKvaOtySlaNOySzWU2qN5GjnaOtqylRDao1kNlsvvbfFriFcS0ug7gWoxjlvLc5n4+vx6bB4maVlZUlSfrvf/9r40rKvkcbSWpUydZllLC0a3fUPIdLnraupRTs3q1+lftJlW1dSMnLuVMK3Oq4FpdBXItRzHI+H1+PTYOFi4uLTCZTronaKSkpue5K5HBzc8t15+Gf7d3d3S3LPDw8rNp4e3sXqK4KFSrIz89P9vb2srOzK/DxAAAAAGVJdna2srKyVKHCjWODTYOFo6OjmjVrpvj4ePXo0UPStTQUHx+v4ODgPLdp2bKltm3bpiFDhliW/fTTT2rZsqUkqW7dunJ3d1d8fLx8fHwkSRcvXtSvv/6qRx99tEB12dvby9GxbN86BAAAAIqTzX8VaujQoYqNjdX69et1+PBhzZgxQ+np6QoKCpIkTZo0SfPnz7e0f+KJJ7R161YtXbpUhw8fVmRkpH777TdLELGzs9MTTzyhhQsXavPmzTpw4IAmTZokDw8PS3gBAAAAULxsPsciMDBQqampioiIUHJysnx8fBQVFWUZ2nTq1CnZ2/8v/7Ru3Vrz5s3Tm2++qTfeeEMNGjTQO++8oyZNmljajBgxQunp6Zo2bZrOnz+vNm3aKCoqShUrlvHJWgAAAICN2GUXZIo3AAAAAFyHzYdCAQAAALj1ESwAAAAAGEawAAAAAGAYwQIAAACAYQQLAAAAAIbZ/OdmARiXmpqqtWvXavfu3ZYn07u5ualVq1YKCgpSzZo1bVwhAAAo67hjAdzi9uzZo169eikmJkZVq1ZV27Zt1bZtW1WtWlUxMTG6//77lZCQYOsyAaDcO3XqlCZPnmzrMoASw3MsgFvcwIED5e3trZkzZ8rOzs5qXXZ2tqZPn64DBw5o9erVNqoQACBJ+/fvV79+/bRv3z5blwKUCIZCAbe4/fv3Kzw8PFeokCQ7Ozs9+eST6tevnw0qA4DyZfPmzdddn5iYWEqVALZBsABucW5ubkpISFCjRo3yXJ+QkCA3N7dSrgoAyp8xY8bIzs5O1xsMkteXQEBZQbAAbnEhISF66aWX9Ntvv6lTp06WEHHmzBnFx8drzZo1mjRpko2rBICyz93dXdOnT1ePHj3yXL9v3z4FBQWVclVA6SFYALe4wYMHy8XFRcuXL9eHH34os9ksSTKZTGrWrJnCw8MVGBho4yoBoOxr1qyZ9u7dm2+wuNHdDOBWx+RtoAzJzMzU2bNnJUkuLi5ycHCwcUUAUH783//9n9LS0nT33XfnuT4tLU2//fab2rdvX8qVAaWDYAEAAADAMJ5jAQAAAMAwggUAAAAAwwgWAAAAAAwjWAAAAAAwjGABACiwEydOyMvLS/v27bN1KYUWFham0aNH27oMACizCBYAAJtZt26d2rZta+syJElfffWVhg4dqo4dO6p169Z65JFHtHXrVluXBQC3DIIFAOCWZzablZWVZaiPn3/+Wf7+/lq8eLHWrVunDh06aNSoUfrvf/9bTFUCQNlGsAAA5JKVlaUlS5aoZ8+e8vX1VdeuXbVw4cJc7fK647Bp0yZ5eXlZXu/fv1+PP/64WrVqpdatWysoKEgJCQnavn27Jk+erAsXLsjLy0teXl6KjIyUJGVkZOj1119XQECAWrZsqQEDBmj79u259rt582YFBgbKz89PJ0+eLNQx7tmzRx07dtTixYslSVOmTNGIESPUvHlzNWjQQM8995w8PT31zTffFKpfACivKti6AADAzWf+/Plas2aNJk+erDZt2igpKUlHjx4tUl/PP/+8fHx8NGPGDJlMJu3bt08ODg5q1aqVXnzxRUVERGjjxo2SpEqVKkmSXn75Zf3+++9asGCBPDw89PXXX2v48OH67LPP1KBBA0nS5cuXtWTJEr366quqUaOGXF1dC1xTfHy8xo4dqxdeeEGPPPJInm2ysrJ06dIl1ahRo0jHDQDlDcECAGDl4sWLWrlypaZNm6Z+/fpJkurXr6+2bdvqxIkThe7v5MmTCgkJUaNGjSTJEgwkqWrVqrKzs5O7u7tV+3Xr1unbb79VrVq1JEkhISHaunWr1q1bp+eee06SlJmZqRkzZsjb27tQ9Xz99deaNGmSZs2apcDAwHzbRUdHKy0tTffff3+h+geA8opgAQCwcuTIEWVkZKhjx47F0t/QoUM1depUffLJJ/L391evXr1Uv379fNsfPHhQZrNZvXr1slqekZFhdffAwcHBashVQezZs0dbtmxRRESEevTokW+7zz77TO+8847efffdQt0JAYDyjGABALBSsWLFAre1t7dXdna21bLMzEyr12PHjtUDDzyg7777Tt9//70iIiK0YMEC9ezZM88+09LSZDKZtHbtWplMJqt1OUOlJMnJyUl2dnYFrlWS6tWrpxo1aujjjz9Wly5d5ODgkKvN559/rqlTp+qtt96Sv79/ofoHgPKMydsAACsNGjSQk5OTtm3bdsO2Li4uunTpktLS0izL9u/fn6tdw4YNNWTIEC1dulT33nuv1q5dK+naXQez2WzV1sfHR2azWampqfL09LT6++eQqaJwcXHRihUrdPz4cY0fPz5XCPrPf/6jyZMna/78+eratauhfQFAeUOwAABYqVixokaMGKG5c+cqLi5Ox48f1+7du7VmzZpcbVu0aCFnZ2e98cYbOn78uD777DOtW7fOsv7y5ct6+eWXtX37dv3555/auXOnEhISLPMt6tSpo7S0NMXHxys1NVXp6elq2LCh+vTpo0mTJumrr75SYmKi9uzZo0WLFmnLli2Gj8/V1VUrVqzQkSNHNHHiRF29elXSteFPoaGhCg0NVYsWLZScnKzk5GRduHDB8D4BoDwgWAAAchk9erSGDh2qiIgIBQYGasKECUpNTc3VrkaNGpo7d66+//579enTR59//rnGjh1rWW9vb69z584pNDRU9913n8aPH6+7775bzz77rCSpdevWGjRokMaPH69OnTopKipKkhQeHq6HHnpIs2fP1v3336/Ro0crISFBtWvXLpbjc3d314oVK3TgwAE9//zzMpvNio2N1dWrV/Xyyy+rc+fOlr9Zs2YVyz4BoKyzy/734FgAAAAAKCTuWAAAAAAwjF+FAgCUCa1atcp33ZIlS3I9IRwAULwYCgUAKBOOHTuW77patWrJycmpFKsBgPKHYAEAAADAMOZYAAAAADCMYAEAAADAMIIFAAAAAMMIFgAAAAAMI1gAAAAAMIxgAQAAAMAwggUAAAAAwwgWAAAAAAz7f8WFAiUNTHOtAAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 800x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "for k in [2, 5]:\n",
-    "    tmp = (\n",
-    "        dfc.groupby(f\"cluster_k{k}\")\n",
-    "        .agg(\n",
-    "            churn_hard=(\"churn_hard\", \"mean\"),\n",
-    "            churn_soft=(\"churn_soft\", \"mean\"),\n",
-    "            churn_warning=(\"churn_warning\", \"mean\")\n",
-    "        )\n",
-    "    )\n",
-    "\n",
-    "    tmp.plot(kind=\"bar\", figsize=(8, 4))\n",
-    "    plt.title(f\"Churn par cluster — K={k}\")\n",
-    "    plt.ylabel(\"Rate\")\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1a302b4c-b358-4fba-a53a-3933d8799e86",
-   "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": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/Essai.ipynb b/Essai.ipynb
deleted file mode 100644
index 35e47a6..0000000
--- a/Essai.ipynb
+++ /dev/null
@@ -1,904 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "dad4ac5b-b66f-4eab-acbf-51dc708616ef",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    }
-   ],
-   "source": [
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "68903172-d4f8-4c6e-96f8-578c5b1afe23",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - AUM</th>\n",
-       "      <th>Value - AUM CCY</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>24648.6666</td>\n",
-       "      <td>24648.6666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22413.0553</td>\n",
-       "      <td>22413.0553</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-12-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22051.2406</td>\n",
-       "      <td>22051.2406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>21626.1173</td>\n",
-       "      <td>21626.1173</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22489.4502</td>\n",
-       "      <td>22489.4502</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200000647                     France   \n",
-       "1              200000647                     France   \n",
-       "2              200000647                     France   \n",
-       "3              200000647                     France   \n",
-       "4              200000647                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France          Diversified         Patrimoine   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France          Diversified         Patrimoine   \n",
-       "3                     France          Diversified         Patrimoine   \n",
-       "4                     France          Diversified         Patrimoine   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
-       "0                    FCP                   NO  Carmignac Patrimoine   \n",
-       "1                    FCP                   NO  Carmignac Patrimoine   \n",
-       "2                    FCP                   NO  Carmignac Patrimoine   \n",
-       "3                    FCP                   NO  Carmignac Patrimoine   \n",
-       "4                    FCP                   NO  Carmignac Patrimoine   \n",
-       "\n",
-       "  Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
-       "0                         A                           EUR   FR0010135103   \n",
-       "1                         A                           EUR   FR0010135103   \n",
-       "2                         A                           EUR   FR0010135103   \n",
-       "3                         A                           EUR   FR0010135103   \n",
-       "4                         A                           EUR   FR0010135103   \n",
-       "\n",
-       "  Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
-       "0          2015-03-31          35.368       24648.6666     24648.6666  \n",
-       "1          2015-11-30          35.368       22413.0553     22413.0553  \n",
-       "2          2015-12-31          35.368       22051.2406     22051.2406  \n",
-       "3          2016-03-31          35.368       21626.1173     21626.1173  \n",
-       "4          2016-11-30          35.368       22489.4502     22489.4502  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Données AUM V2\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "22042f8f-1492-44a4-a492-5074ef1dc9f6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4880297\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(len(df))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "0fff2ef5-35dd-41d3-a8c2-72e4eb30bfcf",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - AUM</th>\n",
-       "      <th>Value - AUM CCY</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>24648.6666</td>\n",
-       "      <td>24648.6666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22413.0553</td>\n",
-       "      <td>22413.0553</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-12-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22051.2406</td>\n",
-       "      <td>22051.2406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>21626.1173</td>\n",
-       "      <td>21626.1173</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22489.4502</td>\n",
-       "      <td>22489.4502</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200000647                     France   \n",
-       "1              200000647                     France   \n",
-       "2              200000647                     France   \n",
-       "3              200000647                     France   \n",
-       "4              200000647                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France          Diversified         Patrimoine   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France          Diversified         Patrimoine   \n",
-       "3                     France          Diversified         Patrimoine   \n",
-       "4                     France          Diversified         Patrimoine   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
-       "0                    FCP                   NO  Carmignac Patrimoine   \n",
-       "1                    FCP                   NO  Carmignac Patrimoine   \n",
-       "2                    FCP                   NO  Carmignac Patrimoine   \n",
-       "3                    FCP                   NO  Carmignac Patrimoine   \n",
-       "4                    FCP                   NO  Carmignac Patrimoine   \n",
-       "\n",
-       "  Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
-       "0                         A                           EUR   FR0010135103   \n",
-       "1                         A                           EUR   FR0010135103   \n",
-       "2                         A                           EUR   FR0010135103   \n",
-       "3                         A                           EUR   FR0010135103   \n",
-       "4                         A                           EUR   FR0010135103   \n",
-       "\n",
-       "  Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
-       "0          2015-03-31          35.368       24648.6666     24648.6666  \n",
-       "1          2015-11-30          35.368       22413.0553     22413.0553  \n",
-       "2          2015-12-31          35.368       22051.2406     22051.2406  \n",
-       "3          2016-03-31          35.368       21626.1173     21626.1173  \n",
-       "4          2016-11-30          35.368       22489.4502     22489.4502  "
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_200000647 = df[df['Registrar Account - ID'] == '200000647'].copy()\n",
-    "\n",
-    "df_200000647.head()\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "54b7ab00-a39e-4ca5-8a92-fa9ca93d69d4",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "12501\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Liste unique des Registrar Account - ID\n",
-    "registrar_ids = df['Registrar Account - ID'].unique()\n",
-    "\n",
-    "# Afficher\n",
-    "print(len(registrar_ids))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "090b2eae-889b-44b3-9a73-cd0cd0734191",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Evolution stock d'un compte\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "def evolution(id=None, n=None):\n",
-    "\n",
-    "    if id is None :\n",
-    "        registrar_ids = df['Registrar Account - ID'].unique()\n",
-    "        id = registrar_ids[n]\n",
-    "        \n",
-    "    df_id = df[df['Registrar Account - ID'] == id].copy()\n",
-    "    \n",
-    "    # Conversion de la colonne Centralisation Date en datetime si ce n'est pas déjà fait\n",
-    "    df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])\n",
-    "\n",
-    "    # Tri par date\n",
-    "    df_id = df_id.sort_values('Centralisation Date')\n",
-    "    df_id.set_index('Centralisation Date', inplace=True)\n",
-    "\n",
-    "    # Aggrégation\n",
-    "    df_agg = df_id.groupby('Centralisation Date')['Quantity - AUM'].sum().reset_index()\n",
-    "    \n",
-    "    plt.figure(figsize=(10,5))\n",
-    "    plt.plot(df_agg['Centralisation Date'], df_agg['Quantity - AUM'], marker='.',linestyle='-')\n",
-    "    plt.title(f'Évolution de la quantité d’actifs sous gestion - Account ID{id}')\n",
-    "    plt.xlabel('Date')\n",
-    "    plt.ylabel('Quantity - AUM')\n",
-    "    plt.grid(True)\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "9f984cb5-fa9c-48fa-a547-c7139d44d3fc",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution(n=0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "4d11701e-8a6a-4879-bc8a-c233e13d56b6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import pandas as pd\n",
-    "\n",
-    "def evolution_2_comptes(id1, id2):\n",
-    "    def prepare_df(id):\n",
-    "        df_id = df[df['Registrar Account - ID'] == id].copy()\n",
-    "        df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])\n",
-    "        df_agg = (\n",
-    "            df_id\n",
-    "            .groupby('Centralisation Date')['Quantity - AUM']\n",
-    "            .sum()\n",
-    "            .reset_index()\n",
-    "            .sort_values('Centralisation Date')\n",
-    "        )\n",
-    "        return df_agg\n",
-    "\n",
-    "    df1 = prepare_df(id1)\n",
-    "    df2 = prepare_df(id2)\n",
-    "\n",
-    "    plt.figure(figsize=(12, 6))\n",
-    "\n",
-    "    # Courbe du premier compte\n",
-    "    plt.plot(df1['Centralisation Date'], df1['Quantity - AUM'],\n",
-    "             marker='.', linestyle='-', label=f'Account {id1}')\n",
-    "\n",
-    "    # Courbe du second compte\n",
-    "    plt.plot(df2['Centralisation Date'], df2['Quantity - AUM'],\n",
-    "             marker='.', linestyle='-', label=f'Account {id2}')\n",
-    "\n",
-    "    plt.title(\"Évolution des AUM pour deux comptes\")\n",
-    "    plt.xlabel(\"Date\")\n",
-    "    plt.ylabel(\"Quantity - AUM\")\n",
-    "    plt.grid(True)\n",
-    "    plt.legend()           # <- important pour distinguer les comptes\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "945bbd98-bec1-4415-ba48-7b296115f39e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_2_comptes('365377','365409')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "1443ecd5-4e87-4306-945a-64a9ed4f7c3e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_2_comptes('200000240','200090163')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "6d95d61e-98ce-4c8c-9ac1-4461676fced3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def caracteristiques_compte(df, account_id):\n",
-    "    \"\"\"\n",
-    "    Renvoie un résumé clair des caractéristiques d'un compte donné.\n",
-    "    df : dataframe complet\n",
-    "    account_id : Registrar Account - ID\n",
-    "    \"\"\"\n",
-    "\n",
-    "    # Colonnes à extraire\n",
-    "    colonnes = [\n",
-    "        'Agreement - Code',\n",
-    "        'Company - Id',\n",
-    "        'Company - Ultimate Parent Id',\n",
-    "        'Registrar Account - Region',\n",
-    "        'RegistrarAccount - Country',\n",
-    "        'Product - Asset Type',\n",
-    "        'Product - Strategy',\n",
-    "        'Product - Legal Status',\n",
-    "        'Product - Is Dedie ?',\n",
-    "        'Product - Fund',\n",
-    "        'Product - Shareclass Type',\n",
-    "        'Product - Shareclass Currency'\n",
-    "    ]\n",
-    "\n",
-    "    # Filtrage du compte\n",
-    "    df_compte = df[df['Registrar Account - ID'] == account_id]\n",
-    "\n",
-    "    if df_compte.empty:\n",
-    "        print(f\"Aucun enregistrement trouvé pour le compte {account_id}.\")\n",
-    "        return None\n",
-    "\n",
-    "    # Résumé : valeurs uniques par colonne\n",
-    "    resume = {\n",
-    "        col: sorted(df_compte[col].dropna().unique().tolist())\n",
-    "        for col in colonnes\n",
-    "    }\n",
-    "\n",
-    "    # Affichage propre\n",
-    "    print(f\" Caractéristiques du compte {account_id}\")\n",
-    "    print(\"-\" * 50)\n",
-    "    for col, val in resume.items():\n",
-    "        # On affiche une seule valeur si elle est unique\n",
-    "        if len(val) == 1:\n",
-    "            print(f\"{col} : {val[0]}\")\n",
-    "        else:\n",
-    "            print(f\"{col} : {val}\")\n",
-    "    print(\"-\" * 50)\n",
-    "\n",
-    "    #return resume\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "f3d2fd2e-d1c3-4590-8f10-b58942d3330f",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " Caractéristiques du compte 365377\n",
-      "--------------------------------------------------\n",
-      "Agreement - Code : L262\n",
-      "Company - Id : 4438\n",
-      "Company - Ultimate Parent Id : 27222\n",
-      "Registrar Account - Region : Italy\n",
-      "RegistrarAccount - Country : Italy\n",
-      "Product - Asset Type : ['Diversified', 'Equity', 'Fixed Income']\n",
-      "Product - Strategy : ['Climate Transition', 'Court Terme', 'Credit', 'Emerging Patrimoine', 'Grande Europe', 'Investissement', 'Patrimoine', 'Patrimoine Europe', 'Sécurité']\n",
-      "Product - Legal Status : ['FCP', 'SICAV']\n",
-      "Product - Is Dedie ? : NO\n",
-      "Product - Fund : ['Carmignac Court Terme', 'Carmignac Investissement', 'Carmignac Patrimoine', 'Carmignac Portfolio Climate Transition', 'Carmignac Portfolio Credit', 'Carmignac Portfolio Emerging Patrimoine', 'Carmignac Portfolio Grande Europe', 'Carmignac Portfolio Patrimoine Europe', 'Carmignac Portfolio Sécurité', 'Carmignac Sécurité']\n",
-      "Product - Shareclass Type : ['A', 'AW & AW-R', 'F', 'FW & FW-R']\n",
-      "Product - Shareclass Currency : EUR\n",
-      "--------------------------------------------------\n",
-      " Caractéristiques du compte 365409\n",
-      "--------------------------------------------------\n",
-      "Agreement - Code : L262\n",
-      "Company - Id : 4438\n",
-      "Company - Ultimate Parent Id : 27222\n",
-      "Registrar Account - Region : Italy\n",
-      "RegistrarAccount - Country : Italy\n",
-      "Product - Asset Type : ['Alternative', 'Diversified', 'Equity', 'Fixed Income']\n",
-      "Product - Strategy : ['Climate Transition', 'Court Terme', 'Credit', 'Grande Europe', 'Innovation', 'Investissement', 'Large Cap Emerging Markets Strategy', 'Long-Short European Equities', 'Patrimoine', 'Sécurité']\n",
-      "Product - Legal Status : ['FCP', 'SICAV']\n",
-      "Product - Is Dedie ? : NO\n",
-      "Product - Fund : ['Carmignac Court Terme', 'Carmignac Emergents', 'Carmignac Innovation', 'Carmignac Investissement', 'Carmignac Patrimoine', 'Carmignac Portfolio Climate Transition', 'Carmignac Portfolio Credit', 'Carmignac Portfolio Grande Europe', 'Carmignac Portfolio Long-Short European Equities', 'Carmignac Portfolio Patrimoine', 'Carmignac Portfolio Sécurité', 'Carmignac Sécurité']\n",
-      "Product - Shareclass Type : ['A', 'AW & AW-R', 'E', 'F', 'FW & FW-R']\n",
-      "Product - Shareclass Currency : EUR\n",
-      "--------------------------------------------------\n"
-     ]
-    }
-   ],
-   "source": [
-    "caracteristiques_compte(df, '365377')\n",
-    "caracteristiques_compte(df, '365409')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "428fa3a9-2ed6-476a-a552-e5bdaf4f1f56",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Product - Asset Type\n",
-      "Equity            2023860\n",
-      "Diversified       1377424\n",
-      "Fixed Income       948728\n",
-      "Alternative        214235\n",
-      "Private Assets        219\n",
-      "Name: count, dtype: int64\n"
-     ]
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "# Comptage du nombre de comptes distincts par type d’asset\n",
-    "result = df.groupby(\"Product - Asset Type\")[\"Registrar Account - ID\"].nunique().reset_index()\n",
-    "\n",
-    "# Renommage de colonne pour plus de clarté\n",
-    "result = result.rename(columns={\"Registrar Account - ID\": \"Nombre de comptes\"})\n",
-    "\n",
-    "result = df[\"Product - Asset Type\"].value_counts()\n",
-    "print(result)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "adc9e4c3-54e8-435f-af50-bce48ae7a401",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "RegistrarAccount - Country\n",
-      "France                  2200046\n",
-      "Italy                    699749\n",
-      "Switzerland              430383\n",
-      "Spain                    325147\n",
-      "Luxembourg               320383\n",
-      "Germany                  248409\n",
-      "Belgium                  196894\n",
-      "United Kingdom           181071\n",
-      "Us Offshore               63949\n",
-      "Netherlands               55772\n",
-      "Latam                     39207\n",
-      "Monaco                    24416\n",
-      "Austria                   19310\n",
-      "Singapore                 16475\n",
-      "Sweden                    14425\n",
-      "Portugal                   7519\n",
-      "Israel                     6459\n",
-      "Hong Kong                  5336\n",
-      "Liechtenstein              5244\n",
-      "Unknown                    4551\n",
-      "Denmark                    2554\n",
-      "Mauritius                  2052\n",
-      "Malta                      1748\n",
-      "Ireland                    1682\n",
-      "United Arab Emirates       1515\n",
-      "Greece                     1253\n",
-      "International              1223\n",
-      "Taiwan                      995\n",
-      "Canada                      713\n",
-      "Finland                     394\n",
-      "Czech Republic              294\n",
-      "Japan                       260\n",
-      "Poland                      209\n",
-      "South Korea                 160\n",
-      "Bahamas                     160\n",
-      "Lithuania                   122\n",
-      "South Africa                 94\n",
-      "United States                80\n",
-      "Norway                       44\n",
-      "Name: count, dtype: int64\n"
-     ]
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "# Comptage du nombre de comptes distincts par type d’asset\n",
-    "result = df.groupby(\"RegistrarAccount - Country\")[\"Registrar Account - ID\"].nunique().reset_index()\n",
-    "\n",
-    "# Renommage de colonne pour plus de clarté\n",
-    "result = result.rename(columns={\"Registrar Account - ID\": \"Nombre de comptes\"})\n",
-    "\n",
-    "result = df[\"RegistrarAccount - Country\"].value_counts()\n",
-    "print(result)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "bd189ebf-7266-45ce-931c-89b3b9ccbd02",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4841\n"
-     ]
-    }
-   ],
-   "source": [
-    "aum_max = df.groupby('Registrar Account - ID')['Quantity - AUM'].max()\n",
-    "accounts_always_zero = aum_max[aum_max == 0].index\n",
-    "aum_max.head()\n",
-    "print(len(accounts_always_zero))"
-   ]
-  }
- ],
- "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": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/Migration.ipynb b/Migration.ipynb
deleted file mode 100644
index fb85c11..0000000
--- a/Migration.ipynb
+++ /dev/null
@@ -1,1458 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "a9037fe3-296e-4a21-b1e5-4763090ef36f",
-   "metadata": {},
-   "source": [
-    "# Migration de comptes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "fe2bc65b-0c8a-4335-83e9-f339c82f33a1",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers Flows : ['projet-bdc-data/carmignac/Flows ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/Flows ENSAE V2 -20251105.csv']\n",
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Import des données\n",
-    "\n",
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers FLOWS\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "flows_files = [f for f in all_files if \"Flows\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers Flows :\", flows_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "flows_data = {}\n",
-    "for file_path in flows_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        flows_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "dg = flows_data['Flows ENSAE V2 -20251105.csv']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "e5739d0e-e4e2-473f-8561-89278a8105a3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>old_account</th>\n",
-       "      <th>new_account</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>7.184443e+05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2016-06-30</td>\n",
-       "      <td>402699</td>\n",
-       "      <td>200038850</td>\n",
-       "      <td>2.237343e+05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2015-07-31</td>\n",
-       "      <td>402703</td>\n",
-       "      <td>200013353</td>\n",
-       "      <td>8.888675e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>404813</td>\n",
-       "      <td>200127636</td>\n",
-       "      <td>1.608203e+05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>406311</td>\n",
-       "      <td>200001401</td>\n",
-       "      <td>6.326882e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5516</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>200093279</td>\n",
-       "      <td>200127383</td>\n",
-       "      <td>1.518258e+07</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5517</th>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>200040897</td>\n",
-       "      <td>200054018</td>\n",
-       "      <td>4.775338e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5519</th>\n",
-       "      <td>2016-08-31</td>\n",
-       "      <td>200042389</td>\n",
-       "      <td>200044787</td>\n",
-       "      <td>2.668920e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5521</th>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>200048502</td>\n",
-       "      <td>200054019</td>\n",
-       "      <td>3.549803e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5524</th>\n",
-       "      <td>2018-12-31</td>\n",
-       "      <td>200090792</td>\n",
-       "      <td>200117574</td>\n",
-       "      <td>2.123958e+05</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>548 rows × 4 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           date old_account new_account         value\n",
-       "0    2019-12-31      406533   200127202  7.184443e+05\n",
-       "3    2016-06-30      402699   200038850  2.237343e+05\n",
-       "4    2015-07-31      402703   200013353  8.888675e+04\n",
-       "5    2019-12-31      404813   200127636  1.608203e+05\n",
-       "7    2015-03-31      406311   200001401  6.326882e+04\n",
-       "...         ...         ...         ...           ...\n",
-       "5516 2019-12-31   200093279   200127383  1.518258e+07\n",
-       "5517 2016-11-30   200040897   200054018  4.775338e+04\n",
-       "5519 2016-08-31   200042389   200044787  2.668920e+04\n",
-       "5521 2016-11-30   200048502   200054019  3.549803e+04\n",
-       "5524 2018-12-31   200090792   200117574  2.123958e+05\n",
-       "\n",
-       "[548 rows x 4 columns]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 548 connexions trouvées\n",
-    "from detection_rupture import detect_ruptures, check_isin_continuity\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import pandas as pd\n",
-    "\n",
-    "ruptures_df = detect_ruptures(df, 0.05)\n",
-    "ruptures_df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "27bb5cd0-8900-408c-8d4f-2a0692b13179",
-   "metadata": {},
-   "source": [
-    "## Ruptures par date"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "id": "752f5ee3-7c4d-4b8d-913d-d8ffcc32fe17",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Copier pour éviter les effets de bord\n",
-    "df_plot = ruptures_df.copy()\n",
-    "df_plot['date'] = pd.to_datetime(df_plot['date'])\n",
-    "\n",
-    "# Compter les ruptures par date\n",
-    "counts = df_plot.groupby('date').size().reset_index(name='rupture_count')\n",
-    "\n",
-    "plt.figure(figsize=(10, 5))\n",
-    "plt.plot(counts['date'], counts['rupture_count'], marker='.')\n",
-    "plt.xlabel(\"Date\")\n",
-    "plt.ylabel(\"Number of account migrations\")\n",
-    "plt.title(\"Number of migrations detected by date\")\n",
-    "plt.grid(True)\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9fd1c550-96d5-46c7-8a01-903d4f485502",
-   "metadata": {},
-   "source": [
-    "## Vérification de la continuité par ISIN"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "f55d53a6-39fb-4d12-bfdc-1ad0c9ff5fd5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "result_ISIN = check_isin_continuity(df, ruptures_df, tol=0.10)\n",
-    "result_ISIN_false = result_ISIN[result_ISIN['check'] == False]\n",
-    "results_ISIN_unique = result_ISIN_false.iloc[:, :3].drop_duplicates()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "02a134ce-944b-46d4-8921-747baa6e8e2b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "105"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "len(results_ISIN_unique)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "id": "c5f692e7-0fa6-470e-91c5-a7901b7c3eb7",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>old_account</th>\n",
-       "      <th>new_account</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>7.184443e+05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2016-06-30</td>\n",
-       "      <td>402699</td>\n",
-       "      <td>200038850</td>\n",
-       "      <td>2.237343e+05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2015-07-31</td>\n",
-       "      <td>402703</td>\n",
-       "      <td>200013353</td>\n",
-       "      <td>8.888675e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>404813</td>\n",
-       "      <td>200127636</td>\n",
-       "      <td>1.608203e+05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>406311</td>\n",
-       "      <td>200001401</td>\n",
-       "      <td>6.326882e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>438</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>200093279</td>\n",
-       "      <td>200127383</td>\n",
-       "      <td>1.518258e+07</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>439</th>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>200040897</td>\n",
-       "      <td>200054018</td>\n",
-       "      <td>4.775338e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>440</th>\n",
-       "      <td>2016-08-31</td>\n",
-       "      <td>200042389</td>\n",
-       "      <td>200044787</td>\n",
-       "      <td>2.668920e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>441</th>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>200048502</td>\n",
-       "      <td>200054019</td>\n",
-       "      <td>3.549803e+04</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>442</th>\n",
-       "      <td>2018-12-31</td>\n",
-       "      <td>200090792</td>\n",
-       "      <td>200117574</td>\n",
-       "      <td>2.123958e+05</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>443 rows × 4 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          date old_account new_account         value\n",
-       "0   2019-12-31      406533   200127202  7.184443e+05\n",
-       "1   2016-06-30      402699   200038850  2.237343e+05\n",
-       "2   2015-07-31      402703   200013353  8.888675e+04\n",
-       "3   2019-12-31      404813   200127636  1.608203e+05\n",
-       "4   2015-03-31      406311   200001401  6.326882e+04\n",
-       "..         ...         ...         ...           ...\n",
-       "438 2019-12-31   200093279   200127383  1.518258e+07\n",
-       "439 2016-11-30   200040897   200054018  4.775338e+04\n",
-       "440 2016-08-31   200042389   200044787  2.668920e+04\n",
-       "441 2016-11-30   200048502   200054019  3.549803e+04\n",
-       "442 2018-12-31   200090792   200117574  2.123958e+05\n",
-       "\n",
-       "[443 rows x 4 columns]"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Colonnes communes pour comparer\n",
-    "cols = ['date', 'old_account', 'new_account']\n",
-    "\n",
-    "# Merge avec indicateur\n",
-    "rupture_filtered = ruptures_df.merge(\n",
-    "    results_ISIN_unique[cols],\n",
-    "    on=cols,\n",
-    "    how='left',\n",
-    "    indicator=True\n",
-    ")\n",
-    "\n",
-    "# Ne garder que les lignes qui ne sont pas dans results_ISIN_unique\n",
-    "rupture_filtered = rupture_filtered[rupture_filtered['_merge'] == 'left_only'].drop(columns=['_merge'])\n",
-    "\n",
-    "rupture_filtered.reset_index(drop=True, inplace=True)\n",
-    "\n",
-    "rupture_filtered\n",
-    "\n",
-    "# 443 connexions retenues"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "207c6df5-1b0a-4c06-9cd0-848c958db371",
-   "metadata": {},
-   "source": [
-    "## Prise en compte des migrations avant le clustering"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "id": "185fd578-bbab-4fe7-be7d-33e259577eb2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - AUM</th>\n",
-       "      <th>Value - AUM CCY</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "      <th>account_clustered</th>\n",
-       "      <th>Account_Clustered</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
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-       "      <th>0</th>\n",
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-       "      <td>200000647</td>\n",
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-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>2.464867e+04</td>\n",
-       "      <td>2.464867e+04</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>200000647</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
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-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>2.241306e+04</td>\n",
-       "      <td>2.241306e+04</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>200000647</td>\n",
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-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-12-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>2.205124e+04</td>\n",
-       "      <td>2.205124e+04</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>200000647</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>2.162612e+04</td>\n",
-       "      <td>2.162612e+04</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>200000647</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>2.248945e+04</td>\n",
-       "      <td>2.248945e+04</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>200000647</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",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\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>4880292</th>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Fixed Income</td>\n",
-       "      <td>Sécurité</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Portfolio Sécurité</td>\n",
-       "      <td>AW &amp; AW-R</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>LU1299306321</td>\n",
-       "      <td>2020-02-29</td>\n",
-       "      <td>26801.000</td>\n",
-       "      <td>2.740670e+06</td>\n",
-       "      <td>2.740670e+06</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4880293</th>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Fixed Income</td>\n",
-       "      <td>Sécurité</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Portfolio Sécurité</td>\n",
-       "      <td>AW &amp; AW-R</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>LU1299306321</td>\n",
-       "      <td>2020-06-30</td>\n",
-       "      <td>3099.000</td>\n",
-       "      <td>3.122862e+05</td>\n",
-       "      <td>3.122862e+05</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4880294</th>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Fixed Income</td>\n",
-       "      <td>Sécurité</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Portfolio Sécurité</td>\n",
-       "      <td>AW &amp; AW-R</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>LU1299306321</td>\n",
-       "      <td>2020-10-31</td>\n",
-       "      <td>3099.000</td>\n",
-       "      <td>3.184222e+05</td>\n",
-       "      <td>3.184222e+05</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4880295</th>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Fixed Income</td>\n",
-       "      <td>Sécurité</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Portfolio Sécurité</td>\n",
-       "      <td>AW &amp; AW-R</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>LU1299306321</td>\n",
-       "      <td>2021-07-31</td>\n",
-       "      <td>2835.000</td>\n",
-       "      <td>2.976183e+05</td>\n",
-       "      <td>2.976183e+05</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4880296</th>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Fixed Income</td>\n",
-       "      <td>Sécurité</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Portfolio Sécurité</td>\n",
-       "      <td>FW &amp; FW-R</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>LU1792391911</td>\n",
-       "      <td>2020-07-31</td>\n",
-       "      <td>2916.394</td>\n",
-       "      <td>2.874106e+05</td>\n",
-       "      <td>2.874106e+05</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>4880297 rows × 20 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        Agreement - Code    Company - Id Company - Ultimate Parent Id  \\\n",
-       "0                    003             166                          166   \n",
-       "1                    003             166                          166   \n",
-       "2                    003             166                          166   \n",
-       "3                    003             166                          166   \n",
-       "4                    003             166                          166   \n",
-       "...                  ...             ...                          ...   \n",
-       "4880292   Private Client  Private Client               Private Client   \n",
-       "4880293   Private Client  Private Client               Private Client   \n",
-       "4880294   Private Client  Private Client               Private Client   \n",
-       "4880295   Private Client  Private Client               Private Client   \n",
-       "4880296   Private Client  Private Client               Private Client   \n",
-       "\n",
-       "        Registrar Account - ID Registrar Account - Region  \\\n",
-       "0                    200000647                     France   \n",
-       "1                    200000647                     France   \n",
-       "2                    200000647                     France   \n",
-       "3                    200000647                     France   \n",
-       "4                    200000647                     France   \n",
-       "...                        ...                        ...   \n",
-       "4880292         Private Client                Switzerland   \n",
-       "4880293         Private Client                Switzerland   \n",
-       "4880294         Private Client                Switzerland   \n",
-       "4880295         Private Client                Switzerland   \n",
-       "4880296         Private Client                Switzerland   \n",
-       "\n",
-       "        RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                           France          Diversified         Patrimoine   \n",
-       "1                           France          Diversified         Patrimoine   \n",
-       "2                           France          Diversified         Patrimoine   \n",
-       "3                           France          Diversified         Patrimoine   \n",
-       "4                           France          Diversified         Patrimoine   \n",
-       "...                            ...                  ...                ...   \n",
-       "4880292                Switzerland         Fixed Income           Sécurité   \n",
-       "4880293                Switzerland         Fixed Income           Sécurité   \n",
-       "4880294                Switzerland         Fixed Income           Sécurité   \n",
-       "4880295                Switzerland         Fixed Income           Sécurité   \n",
-       "4880296                Switzerland         Fixed Income           Sécurité   \n",
-       "\n",
-       "        Product - Legal Status Product - Is Dedie ?  \\\n",
-       "0                          FCP                   NO   \n",
-       "1                          FCP                   NO   \n",
-       "2                          FCP                   NO   \n",
-       "3                          FCP                   NO   \n",
-       "4                          FCP                   NO   \n",
-       "...                        ...                  ...   \n",
-       "4880292                  SICAV                   NO   \n",
-       "4880293                  SICAV                   NO   \n",
-       "4880294                  SICAV                   NO   \n",
-       "4880295                  SICAV                   NO   \n",
-       "4880296                  SICAV                   NO   \n",
-       "\n",
-       "                       Product - Fund Product - Shareclass Type  \\\n",
-       "0                Carmignac Patrimoine                         A   \n",
-       "1                Carmignac Patrimoine                         A   \n",
-       "2                Carmignac Patrimoine                         A   \n",
-       "3                Carmignac Patrimoine                         A   \n",
-       "4                Carmignac Patrimoine                         A   \n",
-       "...                               ...                       ...   \n",
-       "4880292  Carmignac Portfolio Sécurité                 AW & AW-R   \n",
-       "4880293  Carmignac Portfolio Sécurité                 AW & AW-R   \n",
-       "4880294  Carmignac Portfolio Sécurité                 AW & AW-R   \n",
-       "4880295  Carmignac Portfolio Sécurité                 AW & AW-R   \n",
-       "4880296  Carmignac Portfolio Sécurité                 FW & FW-R   \n",
-       "\n",
-       "        Product - Shareclass Currency Product - Isin Centralisation Date  \\\n",
-       "0                                 EUR   FR0010135103          2015-03-31   \n",
-       "1                                 EUR   FR0010135103          2015-11-30   \n",
-       "2                                 EUR   FR0010135103          2015-12-31   \n",
-       "3                                 EUR   FR0010135103          2016-03-31   \n",
-       "4                                 EUR   FR0010135103          2016-11-30   \n",
-       "...                               ...            ...                 ...   \n",
-       "4880292                           EUR   LU1299306321          2020-02-29   \n",
-       "4880293                           EUR   LU1299306321          2020-06-30   \n",
-       "4880294                           EUR   LU1299306321          2020-10-31   \n",
-       "4880295                           EUR   LU1299306321          2021-07-31   \n",
-       "4880296                           EUR   LU1792391911          2020-07-31   \n",
-       "\n",
-       "         Quantity - AUM  Value - AUM CCY  Value - AUM € account_clustered  \\\n",
-       "0                35.368     2.464867e+04   2.464867e+04         200000647   \n",
-       "1                35.368     2.241306e+04   2.241306e+04         200000647   \n",
-       "2                35.368     2.205124e+04   2.205124e+04         200000647   \n",
-       "3                35.368     2.162612e+04   2.162612e+04         200000647   \n",
-       "4                35.368     2.248945e+04   2.248945e+04         200000647   \n",
-       "...                 ...              ...            ...               ...   \n",
-       "4880292       26801.000     2.740670e+06   2.740670e+06    Private Client   \n",
-       "4880293        3099.000     3.122862e+05   3.122862e+05    Private Client   \n",
-       "4880294        3099.000     3.184222e+05   3.184222e+05    Private Client   \n",
-       "4880295        2835.000     2.976183e+05   2.976183e+05    Private Client   \n",
-       "4880296        2916.394     2.874106e+05   2.874106e+05    Private Client   \n",
-       "\n",
-       "        Account_Clustered  \n",
-       "0               200000647  \n",
-       "1               200000647  \n",
-       "2               200000647  \n",
-       "3               200000647  \n",
-       "4               200000647  \n",
-       "...                   ...  \n",
-       "4880292    Private Client  \n",
-       "4880293    Private Client  \n",
-       "4880294    Private Client  \n",
-       "4880295    Private Client  \n",
-       "4880296    Private Client  \n",
-       "\n",
-       "[4880297 rows x 20 columns]"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Ajout d'une colonne Account_Clustered correspondant à l'id du compte, en tenant compte des migrations détectées\n",
-    "\n",
-    "# Trier les connexions par date décroissante : plus récentes en premier\n",
-    "rupture_sorted = rupture_filtered.sort_values('date', ascending=False)\n",
-    "\n",
-    "# fusion des connexions\n",
-    "df['Account_Clustered'] = df['Registrar Account - ID']\n",
-    "\n",
-    "# Pour chaque connexion\n",
-    "for _, row in rupture_sorted.iterrows():\n",
-    "    old = row['old_account']\n",
-    "    new = row['new_account']\n",
-    "    df.loc[df['Account_Clustered'] == new, 'Account_Clustered'] = old\n",
-    "\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "id": "27f12c31-08e1-4384-9129-4679d6ebe0ca",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def evolution_compte(df, id1, id = 'Registrar Account - ID'):\n",
-    "    def prepare_df(idt):\n",
-    "        df_id = df[df[id] == idt].copy()\n",
-    "        df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])\n",
-    "        df_agg = (\n",
-    "            df_id\n",
-    "            .groupby('Centralisation Date')['Quantity - AUM']\n",
-    "            .sum()\n",
-    "            .reset_index()\n",
-    "            .sort_values('Centralisation Date')\n",
-    "        )\n",
-    "        return df_agg\n",
-    "\n",
-    "    df1 = prepare_df(id1)\n",
-    "\n",
-    "    plt.figure(figsize=(12, 6))\n",
-    "\n",
-    "    # Courbe du compte\n",
-    "    plt.plot(df1['Centralisation Date'], df1['Quantity - AUM'],\n",
-    "             marker='.', linestyle='-', label=f'Account {id1}')\n",
-    "\n",
-    "    plt.title(f\"Évolution AUM pour le compte {id1}\")\n",
-    "    plt.xlabel(\"Date\")\n",
-    "    plt.ylabel(\"Quantity - AUM\")\n",
-    "    plt.grid(True)\n",
-    "    plt.legend()\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "4b952bc5-e823-4276-8066-65dfa5839047",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_compte(df, '406169')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "ce811c95-698d-467a-b63a-6e798cd1c02b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_compte(df, '406169', id = 'Account_Clustered')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "id": "d507fb4c-4de5-481f-9cd0-1432298564b8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Quantity - Subscription</th>\n",
-       "      <th>Quantity - Redemption</th>\n",
-       "      <th>Quantity - NetFlows</th>\n",
-       "      <th>Value Ccy - Subscription</th>\n",
-       "      <th>Value Ccy - Redemption</th>\n",
-       "      <th>Value Ccy - NetFlows</th>\n",
-       "      <th>Value € - Subscription</th>\n",
-       "      <th>Value € - Redemption</th>\n",
-       "      <th>Value € - NetFlows</th>\n",
-       "      <th>Account_Clustered</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1636.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1636.000</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>406533</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>144.690</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>144.690</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>406533</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>406533</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>406533</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>406533</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",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\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>2574456</th>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Fixed Income</td>\n",
-       "      <td>Sécurité</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>-20.000</td>\n",
-       "      <td>-20.000</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-34294.40</td>\n",
-       "      <td>-34294.40</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-34294.40</td>\n",
-       "      <td>-34294.40</td>\n",
-       "      <td>Private Client</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2574457</th>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Fixed Income</td>\n",
-       "      <td>Sécurité</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>328.726</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>328.726</td>\n",
-       "      <td>564028.07</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>564028.07</td>\n",
-       "      <td>564028.07</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>564028.07</td>\n",
-       "      <td>Private Client</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2574458</th>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Fixed Income</td>\n",
-       "      <td>Sécurité</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.443</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>4.443</td>\n",
-       "      <td>7603.66</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>7603.66</td>\n",
-       "      <td>7603.66</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>7603.66</td>\n",
-       "      <td>Private Client</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2574459</th>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Fixed Income</td>\n",
-       "      <td>Sécurité</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>-440.000</td>\n",
-       "      <td>-440.000</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-754696.80</td>\n",
-       "      <td>-754696.80</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-754696.80</td>\n",
-       "      <td>-754696.80</td>\n",
-       "      <td>Private Client</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2574460</th>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Private Client</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Fixed Income</td>\n",
-       "      <td>Sécurité</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>3595.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>3595.000</td>\n",
-       "      <td>358385.55</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>358385.55</td>\n",
-       "      <td>358385.55</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>358385.55</td>\n",
-       "      <td>Private Client</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>2574461 rows × 25 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        Agreement - Code    Company - Id Company - Ultimate Parent Id  \\\n",
-       "0                    003             166                          166   \n",
-       "1                    003             166                          166   \n",
-       "2                    003             166                          166   \n",
-       "3                    003             166                          166   \n",
-       "4                    003             166                          166   \n",
-       "...                  ...             ...                          ...   \n",
-       "2574456   Private Client  Private Client               Private Client   \n",
-       "2574457   Private Client  Private Client               Private Client   \n",
-       "2574458   Private Client  Private Client               Private Client   \n",
-       "2574459   Private Client  Private Client               Private Client   \n",
-       "2574460   Private Client  Private Client               Private Client   \n",
-       "\n",
-       "        Registrar Account - ID Registrar Account - Region  \\\n",
-       "0                    200127202                     France   \n",
-       "1                       406533                     France   \n",
-       "2                       406533                     France   \n",
-       "3                       406533                     France   \n",
-       "4                       406533                     France   \n",
-       "...                        ...                        ...   \n",
-       "2574456         Private Client                 Luxembourg   \n",
-       "2574457         Private Client                 Luxembourg   \n",
-       "2574458         Private Client                 Luxembourg   \n",
-       "2574459         Private Client                 Luxembourg   \n",
-       "2574460         Private Client                 Luxembourg   \n",
-       "\n",
-       "        RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                           France               Equity     Investissement   \n",
-       "1                           France          Diversified         Patrimoine   \n",
-       "2                           France               Equity     Investissement   \n",
-       "3                           France               Equity     Investissement   \n",
-       "4                           France               Equity     Investissement   \n",
-       "...                            ...                  ...                ...   \n",
-       "2574456                 Luxembourg         Fixed Income           Sécurité   \n",
-       "2574457                 Luxembourg         Fixed Income           Sécurité   \n",
-       "2574458                 Luxembourg         Fixed Income           Sécurité   \n",
-       "2574459                 Luxembourg         Fixed Income           Sécurité   \n",
-       "2574460                 Luxembourg         Fixed Income           Sécurité   \n",
-       "\n",
-       "        Product - Legal Status Product - Is Dedie ?  ...  \\\n",
-       "0                        SICAV                   NO  ...   \n",
-       "1                          FCP                   NO  ...   \n",
-       "2                          FCP                   NO  ...   \n",
-       "3                          FCP                   NO  ...   \n",
-       "4                          FCP                   NO  ...   \n",
-       "...                        ...                  ...  ...   \n",
-       "2574456                    FCP                   NO  ...   \n",
-       "2574457                    FCP                   NO  ...   \n",
-       "2574458                    FCP                   NO  ...   \n",
-       "2574459                    FCP                   NO  ...   \n",
-       "2574460                  SICAV                   NO  ...   \n",
-       "\n",
-       "        Quantity - Subscription Quantity - Redemption Quantity - NetFlows  \\\n",
-       "0                      1636.000                 0.000            1636.000   \n",
-       "1                       144.690                 0.000             144.690   \n",
-       "2                         0.000                -8.321              -8.321   \n",
-       "3                         0.000               -22.083             -22.083   \n",
-       "4                         0.000              -465.992            -465.992   \n",
-       "...                         ...                   ...                 ...   \n",
-       "2574456                   0.000               -20.000             -20.000   \n",
-       "2574457                 328.726                 0.000             328.726   \n",
-       "2574458                   4.443                 0.000               4.443   \n",
-       "2574459                   0.000              -440.000            -440.000   \n",
-       "2574460                3595.000                 0.000            3595.000   \n",
-       "\n",
-       "        Value Ccy - Subscription Value Ccy - Redemption  Value Ccy - NetFlows  \\\n",
-       "0                      280983.00                   0.00             280983.00   \n",
-       "1                       99985.13                   0.00              99985.13   \n",
-       "2                           0.00               -9384.76              -9384.76   \n",
-       "3                           0.00              -25227.40             -25227.40   \n",
-       "4                           0.00             -563775.76            -563775.76   \n",
-       "...                          ...                    ...                   ...   \n",
-       "2574456                     0.00              -34294.40             -34294.40   \n",
-       "2574457                564028.07                   0.00             564028.07   \n",
-       "2574458                  7603.66                   0.00               7603.66   \n",
-       "2574459                     0.00             -754696.80            -754696.80   \n",
-       "2574460                358385.55                   0.00             358385.55   \n",
-       "\n",
-       "         Value € - Subscription  Value € - Redemption  Value € - NetFlows  \\\n",
-       "0                     280983.00                  0.00           280983.00   \n",
-       "1                      99985.13                  0.00            99985.13   \n",
-       "2                          0.00              -9384.76            -9384.76   \n",
-       "3                          0.00             -25227.40           -25227.40   \n",
-       "4                          0.00            -563775.76          -563775.76   \n",
-       "...                         ...                   ...                 ...   \n",
-       "2574456                    0.00             -34294.40           -34294.40   \n",
-       "2574457               564028.07                  0.00           564028.07   \n",
-       "2574458                 7603.66                  0.00             7603.66   \n",
-       "2574459                    0.00            -754696.80          -754696.80   \n",
-       "2574460               358385.55                  0.00           358385.55   \n",
-       "\n",
-       "         Account_Clustered  \n",
-       "0                   406533  \n",
-       "1                   406533  \n",
-       "2                   406533  \n",
-       "3                   406533  \n",
-       "4                   406533  \n",
-       "...                    ...  \n",
-       "2574456     Private Client  \n",
-       "2574457     Private Client  \n",
-       "2574458     Private Client  \n",
-       "2574459     Private Client  \n",
-       "2574460     Private Client  \n",
-       "\n",
-       "[2574461 rows x 25 columns]"
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Flux\n",
-    "\n",
-    "# fusion des connexions\n",
-    "dg['Account_Clustered'] = dg['Registrar Account - ID']\n",
-    "\n",
-    "# Pour chaque connexion\n",
-    "for _, row in rupture_sorted.iterrows():\n",
-    "    old = row['old_account']\n",
-    "    new = row['new_account']\n",
-    "    dg.loc[dg['Account_Clustered'] == new, 'Account_Clustered'] = old\n",
-    "\n",
-    "dg"
-   ]
-  }
- ],
- "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": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/Stats_descriptives.ipynb b/Stats_descriptives.ipynb
deleted file mode 100644
index 6930089..0000000
--- a/Stats_descriptives.ipynb
+++ /dev/null
@@ -1,892 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 150,
-   "id": "5e49fa70-05e3-4d9a-82db-e36ab3c993c7",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    }
-   ],
-   "source": [
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "e2ca5bb7-bb15-490c-8c55-9f299eda85a9",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "STATISTIQUES NUMÉRIQUES\n",
-      "       Quantity - AUM  Value - AUM CCY  Value - AUM €\n",
-      "count    4.880297e+06     4.880297e+06   4.880297e+06\n",
-      "mean     6.545443e+03     1.688122e+06   1.080572e+06\n",
-      "std      2.339885e+05     1.005260e+08   1.321048e+07\n",
-      "min     -9.918641e+06    -5.953865e+07  -5.953865e+07\n",
-      "25%      0.000000e+00     0.000000e+00   0.000000e+00\n",
-      "50%      0.000000e+00     0.000000e+00   0.000000e+00\n",
-      "75%      7.175000e+01     2.560008e+04   2.542466e+04\n",
-      "max      4.256300e+07     3.027048e+10   1.269996e+09\n",
-      "\n",
-      "Valeurs manquantes :\n",
-      "Quantity - AUM     0\n",
-      "Value - AUM CCY    0\n",
-      "Value - AUM €      0\n",
-      "dtype: int64\n",
-      "--------------------------------------------------\n",
-      "STATISTIQUES CATÉGORIELLES\n",
-      "Agreement - Code : 2427 catégories uniques\n",
-      "Company - Id : 1561 catégories uniques\n",
-      "Company - Ultimate Parent Id : 1067 catégories uniques\n",
-      "Registrar Account - ID : 12501 catégories uniques\n",
-      "Registrar Account - Region : 15 catégories uniques\n",
-      "RegistrarAccount - Country : 39 catégories uniques\n",
-      "Product - Asset Type : 5 catégories uniques\n",
-      "Product - Strategy : 52 catégories uniques\n",
-      "Product - Legal Status : 6 catégories uniques\n",
-      "Product - Is Dedie ? : 2 catégories uniques\n",
-      "Product - Fund : 74 catégories uniques\n",
-      "Product - Shareclass Type : 11 catégories uniques\n",
-      "Product - Shareclass Currency : 6 catégories uniques\n",
-      "Product - Isin : 491 catégories uniques\n",
-      "--------------------------------------------------\n",
-      "STATISTIQUES TEMPORELLES\n",
-      "Date minimale : 2015-01-31 00:00:00\n",
-      "Date maximale : 2025-10-31 00:00:00\n",
-      "Nombre de dates distinctes : 130\n",
-      "--------------------------------------------------\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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xYwcGDRqEIUOGGOT8HSUhmg/q/cHQnfA1TdVuu+22DjuZt11HvO2NkM6290diYmdn1+5rvvfee+3OAe/u11GtVmPcuHFYvHhxu8+3TdR7qj9eZ8eOHWhoaMCqVauwatUqveeTkpLw9NNPA7j+da2rq2v3XCqVSu9r31psbCwGDhyIf/zjH8jJycGcOXN6Hb+h/PDDD3jxxRdx66234qGHHoKnpyesrKywfPnyHlW6aG5YtW7AJ5PJ8Pnnn2Pz5s3YunUr/vvf/2pH3W9UoaA5R+ubYERE5orJfBd09CGrNVEUsWrVKqxfvx65ubnw8fHBggULdJofdeU8DQ0NSElJwfPPP6+zfebMmdi2bRtycnJ6ddebiKg9I0eOhJeXF7Zv346EhAQcOnQIjz32mM4+/v7+uHDhAtRqtc7vs4yMDAD6o86tubi46HWYB3o3mq95vYyMDJ2S8oaGBuTk5GDs2LE9PndXeHh4wNHREWq1us9fS6P1aLBGVlYW5HI5PDw8AAByuRyZmZl6+2VkZEAmk+lVAbSl+Vp6enoa5H0NHDgQtbW1PTqX5nuclZWl8z0uLS1FRUWFwV6nq5KSkhAeHo4nn3xS77l169Zh27Zt2mReE3t73wvN9hv9zAAtN9k+/fRThIaGdrupXEc30Lrzc9PROXbu3InAwEAsXbpUZ5+PPvqoWzFqaKoEWq9U4ebmpo1l69ataGpq6tL3NicnBzKZzGAVEkRExoxz5g3kH//4Bz766CPcfvvtWLFiBe644w588MEHWLt2bbfOc+XKFTQ2NuqVv2nKWDUfmomIDEkmk2H69OnYu3ev9oNz6xJ7oGW9+uLiYp259U1NTVizZg0cHBwwcuTIDs8/cOBAVFVV4fz589ptRUVF2LVrl96+Dg4O7Sb+bY0dOxY2NjZYs2aNzgj2xo0bUVVVdcMO9d3VXkxWVlaYNm0adu7ciYsXL+odY4iy7rZOnDihMw8/Pz8fu3fvxrhx42BlZQUrKyuMGzcOu3fv1kmMlEoltm3bhuHDh3daJj9hwgQ4OTlh+fLleh3jge6/rxkzZuDEiRP49ddf9Z6rrKzU6wvQmuZ7/PXXX+t8j7/88kuDvk5X5Ofn48iRI5g+fXq7/+bNm4fs7GykpqYCaOlTEBkZiaSkJL1r58yZM0hNTcXEiRNv+Jrz58/HkiVL8MILL3Q7XrlcDgCoqqrS2d6dnxu5XK53PHC9OqP18ampqXrLH3aVj48PfH192618HDFiBEJCQvDhhx/qxbJ161a9KsezZ88iLCxMO4WFiMiccWTeAK5cuYKvv/4ab7zxhnbplLFjx6Kurg7Lli3DPffc06VReQDakYbWTWBaP247EkFE1Jn9+/e3eyMwISFBZ2RuxowZWLNmDT766COEh4drbyJq3HPPPVi3bh1efPFFnD17Fv7+/ti5cyeOHz+Ol19++YZJ4syZM/HBBx9gyZIlWLBgAerq6rB27VqEhIToNYkbNmwYfv/9d6xevRre3t4ICAjQW04NaBkZf/TRR7F06VIsXrwYkydPRmZmJr799ltER0fjtttu6+6XqkMdxfT//t//Q0pKCu6++27Mnz8fYWFhqKiowNmzZ/H777/j8OHDBosBAMLDw/HQQw/pLE0HAE899ZR2n2eeeQYHDx7Efffdh/vuuw9WVlZYt24dGhoa2l3Kqy0nJye8/vrr+L//+z/MmzcPM2fOhIeHB/Ly8rBv3z4kJCTgtdde63LMDz30EPbs2YPHHnsMd9xxB4YNGwaVSoWLFy9i586d2L17t7aqoC0PDw8sWrQIy5cvx6OPPopJkybh3Llz2L9/v14ZdW9epyuSkpIgiiJuueWWdp+fNGkSrK2tkZSUpL1eX3zxRSxevBi333477rjjDnh7e+Py5ctYv349vLy88Oijj97wNf39/XW+t90RGRkJKysrfPbZZ6iqqoKtrS1Gjx4NT0/PLv/cDBs2DNu3b8c777yD6OhoODg4YPLkybjpppuQnJyMJ598EjfddBNycnLw3XffISwsTLu8YXfdcsst2LVrF0RR1Bntt7W1xbvvvosHHngAt912G+666y4oFAocPHgQO3fu1DYJBIDGxkYcOXIE9957b49iICIyNUzmDUAzD37q1Kk6d/7Hjh2Lzz77DPn5+fD395cqPCKycB2Vvr7zzjs6yXxCQgJ8fX2Rn5+vNyoPAPb29lizZg0++OADbN68GdXV1QgJCcE777yDefPm3TAGd3d3LF26FP/85z/x/vvvIyAgAM899xyys7P1kvkXX3wRr732Gj788EPU1dXhjjvuaDeZB1qSWA8PD3z99dd455134OrqirvvvhvPPfecTtf43uooJoVCgQ0bNmDZsmXYtWsX1q5dCzc3N4SFhelNlzKEkSNHIi4uDsuWLUNeXh7CwsLwzjvv6PQ2GDx4ML755hv861//wvLlyyGKImJiYvD+++93+HVsa86cOfD29saKFSuwcuVKNDQ0wMfHByNGjOj0e92WXC7HmjVrsHz5cuzYsQNbtmyBk5MTgoOD8dRTT3U6gvrMM8/A1tYW3333HVJSUhATE4NVq1bpJcK9fZ3OJCUlwc/Pr8M+Ei4uLkhISMD27dvx4osvwtraGqNHj8Y333yDTz/9FGvWrEFNTQ08PT0xe/ZsPPXUUx12ZDcELy8vvPHGG1i+fDleeeUVNDc346uvvoKnp2eXf27uu+8+pKWlYdOmTfjiiy/g7++PyZMnY968eVAqlVi3bh1+++03hIWF4f3338eOHTt6fAPrzjvvxNdff41jx47pzYmPjY3FunXr8NFHH2H16tVoaGhAbGwsVq1apXPT8ffff0d5eXmHPSyIiMyNILLtZ7doGuBt27ZNu+3TTz/Fhx9+2OEx33zzjd4fpo8//hirVq3CiRMndLanp6dj1qxZ+PzzzzFhwgTt9qysLEybNg2fffZZp2V5RERkfiIiInD//fd3a1ScyJQsXLgQ3t7eeP/993t0/BNPPAFBELBs2TIDR0ZEZJw4Mm8Arq6uEAQB3377bbsjQd1pwjJw4EDY2NggIyNDJ5nXlMi2nUtPREREZA6ee+453H///XjmmWe6XdF4+fJl/PLLL9iyZUvfBEdEZISYzBuAZu3T8vJyTJ48uVfnsrW1RWJiInbu3Kmzxu/27dsRGhrKTvZERERklmJjY3u8/G9oaCjOnTtn4IiIiIwbk/kuUKlU2LdvHwAgNzcX1dXV2LFjBwBg1KhRCAkJwf3334//+7//w0MPPYTY2Fg0NjYiKysLKSkp+OSTT7Tn0hyXnp6O5uZm7ePo6GjtXejHH38cDz74IF5//XXMmDEDKSkp2LZtG/7zn//059smIiIiIiIiI8U5812Qk5PTYffar776ComJiRBFEd988w3WrVuHzMxMODo6IiQkBNOnT9dZaz4iIqLd87RtILV79258+OGH2nVoH3nkEdx1110GfV9ERERERERkmpjMExEREREREZmYri1+TkRERERERERGg3PmO3DixAmIomjQdYqJiIiIiIiIOtLY2AhBEBAfH9/pvhyZ74AoiuAMBNMniiIaGhr4vaR+xeuO+huvOepvvOZICrzuqL9Jcc11Jw/lyHwHNCPy0dHREkdCvVFbW4u0tDSEhYXBwcFB6nDIQvC6o/7Ga476G685kgKvO+pvUlxzp0+f7vK+HJknIiIiIiIiMjFM5omIiIiIiIhMDJN5IiIiIiIiIhPDZJ6IiIiIiIjIxDCZJyIiIiIiIjIxTOaJiIiIiIiITAyTeSIiIiIiIiITw2SeiIiIiIiIyMQwmSciIiIiIiIyMUzmiYiIiIiIiEwMk3kiIiIiIiIiE8NknoiIiIiIiMjEMJknIiIiIiIiMjFM5omIiIiIiIhMDJN5IiIiIiIiIhPDZJ6IiIiIiIjIxDCZJyKzoixX4VR6MZTlKqlDISIiIiLqM9ZSB0BEZCjJKdlYuuEkRBEQBGDJ/DhMTQySOiwiIiIiIoPjyDwRmQVluUqbyAOAKALLNqRyhJ6IiIiIzBKTeSIyWt0pmU/LKtUm8hpqUUS+sqaPoiMiIiIikg7L7InIKHWnZL6ypgFrfkrT2y4TBPgqHPs6VCIiIiKifseReSIyOspyFZau71rJvKq+CW9+fgj5yho4yq0hCNefu2tyGBRu8n6KmoiIiIio/zCZJyKj81tqLtpUzLdbMt/Y1Iy3vziMC1fK4Oxgg/eWTMCqV6ciPtwLAJCaroRa3fZMRERERESmj8k8ERmVq4VV+Db5QrvPHUkrQHOzGspyFU5eLMbbXxzByYvFsLe1wusPj8HAAS5QuMnxzL0JkNtZ4UJ2GfYeu9rP74CIiIiIqO9xzjwRGY2K6nq88fkhqOqaMMDDAUVlKqhbdbXb/MtlHEjNQ3G5SluCLxOAV/40CuED3bX7ebjY4w9TIrB62zl88eM5jIn2hYO9TX+/HSIiIiKiPsNknoiMQn1jM/6+KgWFpbUY4OmAD56eiMYmNfKVNRjg6YCzmaX45PtUFJXpzpsXAQR4O+udb86EUCSnZCO3uAbf7bqIRXOG9dM7ISIiIiLqeyyzJyLJqdUi/vPtcVzILoOT3AZ/Wzwark52ULjJER2mgJe7A25KCMDT8+P0jhVFtLv8nI21DA/fHg0A2Lr/Mq4WVvX12yAiIiIi6jdM5olIUspyFT745igOnMqDtZWAl/80qt2RdgAYEuyh060euPHyc8OH+GDU0AFoVov4bMtpiG0XoiciIiIiMlFM5olIMskp2Vj092T8ejIPAHDziEBEhyo63F/hJseS+XGQXcvoZYKAJ+fH3nD5uYfmDoO1lQwnLhZj/c8X213ejoiIiIjI1HDOPBFJQlmuwtINJ3WWoNt9+Crumzrkhsn51MQgJER4I19ZA1+FY6fryPspnBAXrsDRtCJ8veM8vtl5Hkvmx2FqYpCB3gkRERERUf/jyDwRSSIzrwJtq97bW0u+PZq59J0l8kDLTYNj54u0j0URWLr+JM5cVurscyq9mKP2RERERGQyODJPRJLYfyJXb9uN5r/3VJ6yWu+mgQjgpU8OYPgQb/h7OyHp1wyIIiAI4Kg9EREREZkEjswTUb87fK4AvxzPAQBtQ7uuzH/vCT+Fk17TPI1j54uwdX+GNtkXRWDZhlSO0BMRERGR0ePIPBH1q4rqeny87iQAYO7EUNw+KbTL8997QtM0b9mGVKhFUXvTICrUE19uO4eDp/N19teU+vdFLEREREREhsJknoj6jSiKWLrhJMqr6zFwgDMenBkJWxurPk+cO2qa9/Dt0fj9TL5OGb5MgMFL/YmIiIiIDI1l9kTUb34+fAWHzhTA2krA8/cPh62NVb+9dntN89oudQcALo62sLftv7iIiIiIiHqCyTwR9TlluQq/HLuKFVtOAQAemB6JED9XiaNqMTUxCCtfnYKXFo6Eu4s9yqsb8M6XR9DUrJY6NCIiIiKiDrHMnoj6VHJKdst68tdK2f0Ujrj9pjBpg2pD4SaHwk0OX4UjXlj6K06lK/G/Tafw5F2xEDrqnkdEREREJCGOzBNRn1GWq3QSeQAoKKlBWWWddEHdQIifK55/YAQEAdh5KBtrky9w/XkiIiIiMkocmSeiPtPeGu9qEUbdLX7U0AFYNGcYVm49i7XJFwBw/XkiIiIiMj4cmSeiPuOncELbInWZIBh9t/hxMX46j7n+PBEREREZGybzRNRn3F3s4eJkq32sWePdWEflNfJLavS2adafJyIiIiIyBiyzJ6I+c+hMPiqqG+Bgb42/PDACwb4uRp/IA9cqCgS0WX/e+CsKiIiIiMhycGSeiPqEKIrYtPcSAGDO+EEYEeljEok80Hr9+evb/jRnmMnET0RERETmj8k8dYmyXMWu3tQtZzNKcPFKOWysZZg9fpDU4XRby/rzU+Hj3pLAe7kzkSciIiIi48Eye+pU63XC2dWbuur7vekAgFtGDoSbs53E0fSMwk2OEUMH4McDmThzWanXGI+IiIiISCocmacbartOOLt6U1dkF1TiaFohBAG4Y1Ko1OH0SlSoJwDgzOUSiSMhIiIiIrqOyTzd0KWrZe2sE86u3nRjm39pGZUfHeULPy8niaPpnWGDWpL57IJKVNU2SBwNEREREVELJvPUocYmNTbuuaS3nV296UZKKlTYdzwHAHDnzWESR9N77s728PdygigC5zI4Ok9ERERExoHJPHXosy2ntQ3MhFZdvU1hnXCSztb9GWhqFjFskCcigjykDscgtKX2TOaJiIiIyEgwmad2/XQwEz/9ngVBAF5cOBLL/nIzNPl8QoS3pLGR8apRNeKn37MAAPPMYFReIypUAQA4c1kpcSRERERERC2YzJOeM5eVWL75NABgwYxIjBo6AIE+LggNcAUAnMvk6CS1b9PeS1DVN8FX4YgRQ3ykDsdgoq7Nm8/IrUBtXaPE0RARERERGVkyv2nTJkREROj9++CDD2543OTJk9s9rr6+vp8iNw/KchX2H8/BP1YfRrNaxMQ4f9w1ebD2+aHXEpqzLDWmdvx0MAvrd7f0WChQ1uDnI1ckjshwFG5yDPB0gFoEzmWWSh0OEREREZFxrjP/+eefw9nZWfvYx6fzEb5p06Zh0aJFOttsbW0NHpu5ar2WPNCSvDx1TxyEVpPlh4Z4Yuv+DCYzpEdZrsKn36dqH4toWcIwIcLbbPorRA1SoKDkCs5cVmJEpPlUHRARERGRaTLKZH7YsGHw8Ohe4yyFQoG4uLi+CcjMtV1LHgBKK1Sorm2Eve31S2RoSMv3JLugEtW1DXBy4M0SapGnrEabFQy1SxiaTTIf6omfj1xhEzwiIiIiMgpGVWZP/a+otBYffHO0nbXkobeWfMsSXY4QRSAti6PzdJ2tjZXeNnNbwlCz3nz61XLU1TdJHA0RERERWTqjTOZnz56NyMhI3HLLLVi+fDmam5s7PSYpKQlRUVGIj4/Hww8/jAsXLvRDpKZJWa7CsfOFWJV0Bo+/twdnM/QT844SsaEhnDdP+lIvFus8lgmC2S1h6OPhAIWbHM1qEeezeTOLiIiIiKRlVGX2Xl5eeOqppxAbGwtBELBnzx58+OGHKCwsxGuvvdbhcZMnT0ZMTAz8/Pxw9epV/O9//8N9992HLVu2IDAwsMfxiKKI2traHh9vjPYcy8WKH87pjMQPDXHHsGB3fP9LBtQiIBOAh+dGwsFW//2H+TtjF4DTl4tN4mujUql0/kuGJ4oidh3OBgA8OD0cwX7OGODhAE9Xe5O4RrojMsgNv5arcOJ8AcIDnDrcj9cd9Tdec9TfeM2RFHjdUX+T4poTRVGnb9mNCKLYtsDauLz77rv48ssv8csvv8Dbu2vrmxcVFWHGjBmYM2cOXn/99R697unTp9HQ0NCjY41VRW0TPtxSoDO3WQDwzNwBcHW0RkVtE0qrmuDhbA1Xh/bv85RWNeGjpALIZMBLd/nDxrprFxqZr+yieqz+uRi21gKen+cLW2ujLPgxiGPpNUg6XIaBXrZYNKVrv4+IiIiIiLrD1tYW0dHRne5nVCPz7ZkxYwZWrVqFtLS0Lifz3t7eGD58OM6ePdur17axsUFYWFivzmFMzmSUQkSBzjYRgLOnPyJDutZwUBRFrPmlFGVVDbB29kVksHsfRGo4KpUKWVlZCA4OhlxuPiXfxuSX8y0/Z+NifBEbPUziaPqWq1cNkg4fRF5pI0LDwtvtFQDwuqP+x2uO+huvOZICrzvqb1Jcc+np6V3e1+iTeSkJggAHBwepwzCYQQH6o+gyQUCIvyccHLp+cQ4dpMCB1DxczqvGiKH+hgyxz8jlcrP6XhoLVX0TDp0pBABMGzPI7L/GoYFyuDvboayqHleV9YgOVdxwf1531N94zVF/4zVHUuB1R/2tP6+5rpbYA0baAK+17du3w8rKCkOHDu3yMYWFhTh27FiXShMsicJNDj+v603tetqkbNi1Jnjn2mmcR5bl4Kk81DU0w1fhqF260JwJgoCoawn8mctsAklERERE0jGqkfmHHnoIiYmJiIiIAADs3r0b69evx4MPPggvLy8AwMKFC5GXl4ddu3YBALZt24a9e/di0qRJ8Pb2xtWrV7FixQpYWVnhT3/6k2TvxRg1NauhLK8DADzzh3jEDvbqUbdxzRJdaVmlaFaLsJJx3ryl2n3kKgDglpGB3bqLaMqiQj3x68lcnLmsBBAhdThEREREZKGMKpkPCQnB999/j4KCAqjVagQHB+Pll1/GggULtPuo1WqdpeoCAgJQVFSEt99+G1VVVXB2dsbo0aPx9NNP96qTvTnKyK1AQ2MznB1scPPwQMh6mIQH+brAwd4atXVNyMqrQGiAm2EDJZNQUFKD05eVEARg8vCBUofTbzQ3s85nl6GxSQ0bM274R0RERETGy6iS+VdffbXTfdasWaPzOC4uTm8bte9cZktZ/JBgjx4n8gBgJRMwJNgDx88X4WxmCZN5C7XnaMuofOxgL3i5W04TmoE+znBxtEVlTQPSr5Z3uXkkEREREZEhcUjJgqRltczxjQzuffKhnTefyXnzlkitFrH7yBUAwC0jLWdUHmiZN68Znf/5SDaU5VzrloiIiIj6H5N5CyGKItKuJd5DryXivaFJZs5llEAUxXb3UZarcCq9mMmOGTqToURRmQoO9tYYE+0rdTj9ztqqpbIlOeUKFr2VjOSUbIkjIiIiIiJLY1Rl9tR3CktrUVZVD2srAWGBbr0+3+BAN1hbyVBWVY/8khr4KZx0nk9OycbSDSchioAgAEvmx2FqYlCvX5eMw7bfMgAAIyN9YNfBWuvmSlmuwm+pedrHoggs25CKhAjvHjWUJCIiIiLqCY7MW4i0rJZR+VB/N4MkX7Y2Vhh87abAuQzdJbqU5SptIg9cT3Y4Qm8etv2Wgd9PFwAA9p/MtbhR6TxlNdoWo6hFEfnKGmkCIiIiIiKLxGTeQmhK7A3ZrEtbat9m3vyeo1eY7JgpZbkKKzaf1j62xBs1fgontF2FTyYAvgpHaQIiIiIiIovEZN5CaEbmDdH8TkOTzJ+9NjLf0NiM5ZtPYc1P5/X2lQkCkx0zkKesRtsOCZZ2o0bhJseS+XGQtcroE4b4dKnEnn0kiIiIiMhQOGfeAtSoGpFdUAnAsMn8kGAPCAKQp6zBln3p2HkoGzlF1QCA2MEKnLqk1CZ+T86P5XxiM9DQqNbbZok3aqYmBiEhwhs/H87GNzsv4GyGEpU1DXBxtO3wGPaRICIiIiJD4si8BbiQXQZRBAZ4OsDdxd5g53WS28Dj2vlWbj2LnKJqyO2s8LfFo/HWY+PwyB3RAIDwgW5MWsxEytkCnccyQbDYGzUKNznumRKBQX6uUNU3Y8u+9A73ZR8JIiIiIjI0jsxbgHMGXF++NWW5CiUVdTrb6huaEezrAgDaBnmlbfYh06Sqb8K+41cBAC8sGAFXJzv4KhwtMpHXEAQB906LwD9WH8a23zIwd2IoXJ3s9Pa7UdM8S/76EREREVHPcWTeAlxvftf79eVby1NW621Ti9DOn/bxaCm9LqmsQ2NTs0Ffm/rf/hM5UNU3w9/LEeNi/RAdpmAiCiBx2ACEBrSMzm/+pf3R+aKyWr1tAtg0j4iIiIh6jsm8mWtuVuPilTIAhh+Zb7+r9/X5065OtrCztYIoAkVlLCc2dTsOtSxBN210MIS233gLJggC7ps6BADw44FMVFTX6zyfmVeB5ZtO6x0nov0kn4iIiIioK5jMm7nM/ErUNTTD0d4aA32cDXrutl29286fFgQBPh4OAIDCEiYtpiw9pxzpV8thbSXD5BGBUodjdEYO9UFYoBvqGpqxae/10fmyqnq8uTIFdQ3NiAlT4LOXb8Xbj4/DuFhfAMCHa09AVd8kVdhEREREZMI4Z97MaUrsI4I9IJMZfjRV09U7X1nT7vzpAR6OuFJQhcJSy1m6zBztvDYqPzbGt9054ZauZXQ+Am+uTMGPBzMxPdEfDU1qvP/NSSjLVfD3csJLC0fCycEWAzwdMcjfFRevlCO/pAark87iibtipX4LRERERGRiODJv5jTryw81cIl9awo3eYfzp308r43Ml3Jk3lTV1jVqG99NHx0sbTBGbESkD8IHuqG+oRnf/XwJ3+xV4nJuJZwdbPDa4kQ4OVxfts5RboM/3xMPAPjp9ywcP1/U7de70Zr1XM+eiIiIyPxxZN7MaZL5IX2YzN+Ipsy+gGX2JuvXk7naxndRoYZtomhOBEHAvVOH4I3PD2HPsTzt9imjguCncNLbP3awF2aPD8G23zLxn7XHsWR+LEID3LrUVFBnzXoAt00chFtHBcHNyQ4pZ/OxbGMq17MnIiIiMnNM5s1YcZkKynIVZDIBEQPdJYlBO2eeZfYma8fvWQDY+K4rggbo96XYsu8y5kwY1G6SvnDWUPx2Mhfl1fV4a/XhLiXfemvWA/hhfwZ+2J+ht69mPfuECG+uPEBERERkZlhmb8bSrq0vP8jPBfZ20ty3GeDZ0tmeZfamKf1qOdJzKtj4rovyS/RvWmnWk29PdW0jKmoatI81yfeNyuPbW7MeABzt2/8Zv9HrExEREZHpYjJvxvpqffnu0IzMV9U2okbVKFkc1DM7DmUBYOO7rupsuca22kvMO0u+vdwc9LbJBAFL/zIZn718azuvz/XsiYiIiMwRk3kzdu7afPnIIGnmywOA3M4aLo4tjb84Om9arhZWYu+xa43vxgRLG4yJuL5cY8tjmQCd5Rrbai/5B4ABnvoJu8bvp/N1HrdeEnKAp6POcpEAEODtBE9X++6/GSIiIiIyapwzb6ZU9U3IyqsAAESGSJfMAy2JSWVNAwpLazDI31XSWKhrklOysXT9SWgGjfOKqxEdqpA0JlMxNTEIkQOdkXIiDYnxkQj07fjnT5P8L9uQCnWrIfrUS8W4dZT+vPnSyjp8t+s8AGDRnGEIC3DTWxJSs1zk6ctK/Pe7E7hSWI3fT+djbIyfAd8lEREREUmNI/Nm6sjZAqhFwMPVXvLGVz4enDdvSrQN1lpt+2TjKS5z1g2ervYI8bHv0oj41MQgrHx1Ct5+fBzmTx4MAFix5Uy7Py9f/ngOqvpmhA90w9yJoR0uCalwk+Pm4YG489r5Pt96BnUNTb18V0RERERkTJjMm6HklGy8/80xAEBpRR2SU7IljYfL05mWnszjpt5RuMkRHabA/TMiERnsAVV9E/773Qmo1de/EeezS7HnaMu0h0duj4ZM1vnKAvNvGQwvdzmKy1TYsPtSn8VPRERERP2PybyZ0YyqttZZd+y+dn15OibzpsBP4YS2aeKNmriR4VjJBDxzbzzsbK1w+rIS235rWW5OrRaxYvNpAMAtIwMR0cU+GPa21lh8WxQAYNPedOQVV/dN4ERERETU75jMmxljHFXVNPPiWvOmQeEmx6CA670NWjdYo77np3DCojnDALSU1V8trMKeo1dw6Wo55HbWWDhzaLfONybaF/HhXmhqVmPFltMQ21vXjoiIiIhMDhvgmRlNd+zWn9elHlXVzpkvqYUoihDaa99NRqNZLWqnRDw2LxqJw3yZyPezGWOCkXKmAMcvFOG9r46guLwOAHDv1Ai4u3SvM70gCHh0XgyWvL8Hx84XYdfhKxjg6QA/hRO/r0REREQmjCPzZkbhJkfiMF/tY2MYVfVyl0MmAA1NapRV1UsWB3VN+tUy1Kga4Si3wfQxIUz4JCAIAp6+Jw62NlbIKqhCTV0jgJay+Z7w93LC7ZPCAAAfrz+JVz49iEVvJUveT4OIiIiIeo7JvBnSdK2ePS4EK1+dgqmJ+ktc9SdrK5k2ISxkEzyjd/JiMQAgdrACVl1oskZ9QxSBxsZmnW3/29TzVQVuHRmod36p+2kQERERUc8xmTczjU1qpGWVAgCmjwk2mlHV68vTcd68sTtxLZmPC/eWOBLLlqesRtvZ7b3pf1FSWae3Tep+GkRERETUc0zmzcylq2Wob2iGi6MtAn2cpQ5HS7s8HTvaG7Xaukacv3YzKD7cS+JoLJum/0Vrvel/YejzEREREZG0mMybmdOXlQCA6FBFl9ah7i8+mo72LLM3amcul6BZLcLX0xEDPJnkSUnhJseS+XGQXcvAe9v/QnO+1gn943fGGE31DhERERF1D7vZm5kz6SUAgOhQT4kj0TWAa82bhBMXiwAAcREclTcGUxODkBDhjXxlDXwVjr1OvKcmBmHYIA88+5/9UNU3wVFuY6BIiYiIiKi/cWTejDQ2NePctRLpqDCFxNHo4px503DiQst8eZbYGw+FmxzRYQqDjaD7eznj9kmhAIBNv6Rz3XkiIiIiE8Vk3oxcvFKOhsZmuDrZYqARzZcHrpfZK8tVaGpWSxwNtaeorBa5xdWQyQREhzGZN2ezxoXA1lqG9KvlOHO5ROpwiIiIiKgHmMybkTPX5stHhSogtO10JTF3ZzvYWsugFoHiMi6FZYw0S9KFB7rBieXXZs3VyQ63jBoIAPh+7yWJoyEiIiKinmAyb0ZOpV9vfmdsBEG43gSPpfZG6cSFlvny8RFcks4S3D4pFIIAHDtfhOz8SqnDISIiIqJuYjJvJhqbmrVLisUY2Xx5Dc28+QJ2tDc6zWoRqZc068uzxN4S+CmcMCbaF0DL3HkiIiIiMi1M5s3ExSvlaGhSw83ZDgHeTlKH0y4fdrQ3Whm55aiqbYSDvTXCB7pLHQ71k3k3hQEA9p/IQUkFp78QERERmRIm82aidYm9sc2X1xjgyWTeWGnmy8eEKWBtxV8LliIiyAPDBnmiqVnE1v0ZUodDRERERN3AT+1mQtP8ztjWl2/t+sg858wbG82SdHHhnC9vaebd3DI6v+NQFmrrGiWOhoiIiIi6ism8GWhobEaaZn15I2x+p8E588aprr4JaVkty5PFR3C+vKUZMcQHgT5OqK1rwuqkc1CWs9yeiIiIyBQwmTcDF66UobFJDXcjni8PXB+Zr6xpgKq+SeJoSONMRgmamkV4ezjA19NR6nCon8lkAsIDW/ok7DiUhUVvJSM5JVviqIiIiIioM0zmzcAZE5gvDwCOchs4O7SsX85588bjxMVrS9KFexn19UN9Q1muwp5jV7WPRRFYtiGVI/RERERERo7JvBk4dW2+fJSRLknXmmZ0vqCE8+aNhWa+fDzny1ukPGU1RFF3m1oUka/kzygRERGRMWMyb+IaGptxIbsMgPGuL9+aZt48R+aNw6WrZbhaWAUBQMxg479+yPD8FE5oW5AhEwBfBadcEBERERkzJvMm7vDZAjQ2qeHmZAs/E/jwzeXpjEdySjb+34f7AQAigN9P50sbEElC4SbHkvlxkLXK6G8eEQiFm1zCqIiIiIioM0zmTVhySjbeXXMUAFBe3YBdh69IHFHntMvTsaO9pJTlKizdcBKtq6s5T9pyTU0MwspXp+DWUYEAgJKKOokjIiIiIqLOMJk3UZpkrDVTSMa0y9NxrXnJ1Kga8emmVM6TJh0KNznuviUCAHDqUjHKqpjQExERERkza6kDoJ65UdMqYy6PbV1mL4oiu6f3E2W5CrnF1chX1mBt8nmUVtbr7SMTBM6TtnC+CkeED3TDxSvlOJCah9njB0kdEhERERF1gMm8idI0rWqd0JtCMublLocgAPUNzaioboCbs53UIZm95JTslpL6VteKn8IRiVED8MO+DKhFETJBwJPzY436RhD1j4nxAbh4pRz7T+QymSciIiIyYkzmTZSmadWyDakmlYzZWFvB08Ueyoo6FJbWMJnvY9q58a0SeQHA6w+Phq/CCbdNCEW+sga+Ckejv3aof4yP9cPKrWeQllWKotJaeF/rc0FERERExoXJvAmbmhiEhAhvk0vGfDwdoayoQ0FJLSKCPKQOx6xdulquNx1DBKAsr4OvwgkKN7nJXDfUPzxd5YgOVeBUuhL7T+birsmDpQ6JiIiIiNrBBngmTuEmR3SYwqQSMm1Hey5P16eamtXY9Mslve2mMB2DpDUx3h8AsP9EjsSREBEREVFHmMxTvxtwLZlPyyw1+u77xkhZrsKp9OJOv3YrtpzG+awy2FgLkF3rM2gq0zFIWmOi/WAlE5CZV4mrhVVSh0NERERE7WCZPfW74mtJ6NHzhVj0VjKWzI/D1MQgiaMyDa2b2QkCOvzabT+YiZ8OZkEQgBcfHIVB/q4mNx2DpOPiaIv4CG8cTSvEvhM5eGB6pNQhEREREVEbHJmnfqUsV+HnI1e0j0URWLYhlSP0XVBcVouP119vZtfR1+5UejGWbz4NAFgwIxKjhg0wyekYJK1J2lL7XIhtGy8QERERkeSYzFO/ylNW6zVkU4si8pU1nR57o/Lyrpaem6raukZ88M0xve1qUcS6XRegqm+CslyFvceu4u3Vh6FWi7gpIYDNy6jHEqN8YWtjhXxlDdJzyqUOh4iIiIjaYJk99Ss/hRMEAToJfVcasumUlwOYNT4Ek0cEwsPFHkfOFeKT71M7LT03VXnF1Xhr9eEO5y7vOJSNvcdzUN/QrN3m7S7HkrvjIAhCf4VJZkZuZ41RQ33wW2oe9p/IxeBAd6lDIiIiIqJWjGpkftOmTYiIiND798EHH9zwOFEUsWLFCtx0002IiYnBPffcg5MnT/ZP0NQtCjc5lsyPQ+scs7OGbG3XShcBbPstE899uB9/fDMZyzamdlp6bmo0lQZ7jl7Bcx/uw9XCKni42GH+LYMhu/bFkwkCbh05EN7ucp1EXnN8VU2DFKGTGZkYHwAA+PVkLtRqltoTERERGROjHJn//PPP4ezsrH3s4+Nzw/0/++wzfPTRR3j++ecRERGBb775BosWLcIPP/yAwMDAvg6XumlqYhDCAtzwzH9+gSgCwwZ53nD/9krzAcDZwQbVqsYOy/ZNdX546yoEjchgD7y4cCQ8XOwxc2yITjO7kxeK8NcVv+ucQy3CpL8GZBxGRHrD0d4aJRV1SPrtMsbF+POaIiIiIjISRjUyrzFs2DDExcVp//n6+na4b319PZYvX45Fixbhj3/8I8aMGYN///vfcHNzw8qVK/sxauqOQf6uSIjwBgDsO37jtax93B30tskEAR/9v5vx2ctT0LaS3JTXUW9bhaDx7L0J8HCxBwC9ZnYBPs5m9TUg42FjbYWBA1wAAJ//cBaL3kpGckq2xFEREREREWCkyXx3HD9+HNXV1ZgxY4Z2m62tLaZMmYL9+/dLGBl15qaElhLeX47n3LBbdmZ+pc7j1mul+3g44Mm7YrXPCULnZfvGrKMqhBtNG9BMXWhdfm/KXwMyHspyFc5nl2ofm8s0FiIiIiJzYJRl9rNnz0ZZWRn8/Pxw9913Y/HixbCysmp334yMDADAoEGDdLaHhobiyy+/RF1dHezt7fs8Zuq+xChf2Nm2dMu+dLUc4QPbb7C1/UAmAGDGmGBMiPPXWyt92uhgHDtfiN9PF2D66GCTbn7np3CCgJa+ABpdGWWfmhiEhAhvriVPBnWj1Sd4jRERERFJy6iSeS8vLzz11FOIjY2FIAjYs2cPPvzwQxQWFuK1115r95jKykrY2trCzs5OZ7uLiwtEUURFRUWPk3lRFFFbW9ujY6lrRkR44cDpAvx8OAsBCju95/NLanDiYjEEAZg5JgDe7nIA+t+X4REK/H66AOcylTrPqVQqnf8aOwdbYKCPE7ILqwEAMgF4eG4kHGw7vxYdbIFQPwe09/Wh/mVq111H3B2t2ll9AnBzlPEaMzLmcs2R6eA1R1LgdUf9TYprThTFLq9IZVTJ/IQJEzBhwgTt4/Hjx8POzg5ffvklHnvsMXh7e/drPI2NjUhLS+vX17Q0QR6NOABg/4kcjAhqhpVM98LdcawcABDma4+SgiyUFLR/Hnt1Szf37IJqHD5+Bs5y3UqOrKwsA0feNxqbROQqawAAc0a5IczPHq4OlUhLq+zkSDJGpnLd3cicUe7YmlKmfTx7lDuK8jJRlCdhUNQhc7jmyLTwmiMp8Lqj/tbf15ytrW2X9jOqZL49M2bMwKpVq5CWltZuMu/i4oKGhgbU19frjM5XVlZCEAS4urr2+LVtbGwQFhbW4+Opc4PD1Ug6sh9VtY1otvNBVNj1zvb1Dc04vaml78GdtwxBZLjXDc8VcqgamXlVUAkeGBXpB6DlLlpWVhaCg4Mhlxt/WfCJi0o0NefC09Ue988ewXXiTZSpXXc3EhkJhA0qxL/XnoKz3Ab3zRrO69IImdM1R6aB1xxJgdcd9Tcprrn09PQu72v0yXxnNHPlMzMzMWTIEO32jIwM+Pn59Wq+vCAIcHDQ76ROhjU+zh8/HczCobPFGBNzfSnBA6ezUVPXBB8PB4yOGag3at/WiMgByMyrwtnMCswYp3sTRi6Xm8T38tTllhHQUUMHwNGR3ehNnalcd50ZHzcQH284gypVI0qr1Qj0ce78IJKEuVxzZDp4zZEUeN1Rf+vPa647gyZG381++/btsLKywtChQ9t9PiEhAU5OTvjpp5+02xobG5GcnIyJEyf2V5jUC5qu9r+fzkd9Y0u5vCiK+PFgS+O7mWODO03kASD+2lJ3Jy4WQa3uuDu+sRJFEUfSCgEAI4f6SBwN0XU21laICGppUHk2o0TiaIiIiIgIMLKR+YceegiJiYmIiIgAAOzevRvr16/Hgw8+CC+vlhLrhQsXIi8vD7t27QIA2NnZ4dFHH8XHH38MDw8PhIeHY+3atSgvL8dDDz0k2XuhrhsS5AFvdzmKylQ4fLYAE+L8cfFKGS7nVMDGWoZbRg7s8nnkdlaorGlARm4FwgLd+jZwA7tSUIXiMhVsbawQM/jGUwqI+tuwQZ44c7kEZzNKMH1MsNThEBEREVk8o0rmQ0JC8P3336OgoABqtRrBwcF4+eWXsWDBAu0+arUazc3NOsc9/PDDEEURq1atQmlpKSIjI7Fy5UoEBga2fQkyQjKZgEkJAdiw+xL2Hc/BhDh/bD+YBQCYEOcPVyf9LvftsbGWISbMCylnC3D8QpHJJfOHz7V094sJU8DOpv2lGImkEjXIE+sAnLms7FaXVSIiIiLqG0aVzL/66qud7rNmzRq9bYIg4NFHH8Wjjz7aF2FRP9Ak88fOFyKvuBq/nswFAMwaF9Kt88RHeGuT+btvDe+LUPvMkXMtJfajWGJPRmhIkAesZAKUFXUoKlPBx4NzFYmIiIikZPRz5skyBA1wQbCvC5qaRbzz5RE0NqkRFuCKwd0cXU+4Nm/+fFYpausa+yDSvlFZ04AL2aUAgOGRTObJ+NjbWSMswA0AcDZDKW0wRERERMRknoyHphFeVn7Lmuozx4Z0u5TXV+EIX09HNKtFnEo3nYTj+PlCqEUg2NcF3u4c8STjNGxQy9KRZy6zCR4RERGR1JjMk9FqaGrufKd2xEe0NI87fqHIkOH0KU2JPbvYkzEbFtqSzLOjPREREZH0mMyTUVCWq/Dl9nM621ZsPgNluarb59KU2p8wkWS+uVmNY9diHRk5QOJoiDo2NNgDggDkKWtQWlkndThEREREFo3JPBmFPGU1xDZLw6tFEfnKmm6fKzpMASuZgIKSWhSU1Boowr6TllWKGlUjnB1sEX5tLW8iY+TkYItgXxcAHJ0nIiIikhqTeTIKfgontJ0eLxME+Cocu30uB3sbRIZ4AABS040/4dCU2I+I9IaVjMt9kXHTzJtnMk9EREQkLSbzZBQUbnIsmR8H2bWMXiYIeHJ+LBRu8h6dT1Nqn3rJ+JvgHUm7Nl+eJfZkAqIGKQAwmSciIiKSmlGtM0+WbWpiEBIivJGvrIGvwrHHiTzQst78V9vTcDazDDPijDdJLiipwdXCKshkAuKHeEsdDlGnhg5qqXrJyq9EVW0DnB1sJY6IiIiIyDJxZJ6MisJNjugwRa8SeQAY5OcKVydb1DU046qy3kDRGZ6mxH5YiCec5DYSR0PUOXdne/h7OQEAznF0noiIiEgyTObJLMlkAuLDW0a6j6XXoKTCODtvH03TzJfnknRkOqKuLVF3hsk8ERERkWSYzJPZsrFuubzPZKvw5L9+RXJKtsQR6copqsLJS8UAuL48mRY2wSMiIiKSHpN5MkvKchV+PnJF+1gUgWUbUnu0br0hYjmVXqzz2jsPZeGJd/dArW5Zj+9cJpMiMh2aZP5ybgVq6xoljoaIiIjIMrEBHpmlG61b39v5+N2RnJKNpRtOQhQBAUBsuBcaGppxLqtUZ79PNp7C8CE+/RobUU95uzvA212OojIVzmeXaVePICIiIqL+w5F5MkuGXLe+p46lFeLj9Se1NxVEACcvFusl8sD1Gw1EpoKl9kRERETSYjJPZun6uvXXt42L9e2zkW9NKX12QSV+PJCJP//7F7z++aF29502OkjyGw1EvTXs2nrzh88WSDJ9hYiIiMjSscyezNbUxCBEDnTGV9uO49D5GpzLLEVjk1rbGM9QWpfSt2YlE9Cs1t0oEwT8YUoEwge6Y9mGVKhFETJBwJPzY1liTyalorplyces/EoseisZS+bHYWpikMRREREREVkOJvNk1jxd7XFrrBsu5DaipKIOe49dNWjCoSmlb+veqRGYPX4QDp3Jbzdpn5oYhIQIb+Qra+CrcGQiTyZFWa7C1zvStI81DSYTIrx5LRMRERH1EybzZPasrQTMHheMNTsuYuOeS7hl5EBYyYTOD2yHslyFPGU11GoR2w9m4ffT+e3uFx2qgIuj7Q2TdoWbnIkPmSRjaTBJREREZMmYzJNFuHWEP7bsz0S+sgYHU/MwId6/2+foqJy+rbbz35m0k7nRNJhs/bPAvg9ERERE/YsN8Mgi2NtZY86EUADA+t0XId4gI2+9LnyzWsT5rFL8b1OqTmd6jb8/NgZP3R0H2bWOdpz/TpZA02CydSNHXvdERERE/Ysj82QxZo8PweZfLiErvxJH0woxcugAvX3ajr7b21qhrqG5w3NaCTLOfyeLNDUxCNZWAv6z9gQCfZzY/I6IiIion3FkniyGs4MtZowJAQBs2H1Jb3ReWa7SK6Ova2iG3M4KiUMHoO0s+9ZlxQo3OaLDFEzkyaKEBrgBAMoq66UNhIiIiMgCMZknizJ3UihsrGVIyyrF2YwS7fb6xmYs33yq3fnwL/9xFF59KBFLWE5PpMPr2vVfrWpEbV2jxNEQERERWRaW2ZNF8XCxx60jB+Kn37PwzY7zuHdaBBoa1ViVdAZXC6v19pcJAgK8nQGA5fREbTjY28BRboMaVSOKy1UIGmAjdUhEREREFoPJPFmceTeHYcehLJzJKMErnx7Ubnd3tsOEOH9s+y1Tb114DXamJ9Ll7S5HpqoRxWUqBA1wkTocIiIiIovBZJ4sjrWVrN1y+tcfHoNB/q6446Ywjr4TdZGXmwMy8ypRXK6SOhQiIiIii8JknixOnlK/nB4AalQtc345+k7UdV7uLT8rxWW1EkdCREREZFnYAI8sjp/CSWd9bEC3Mz0RdZ2mCV5xGUfmiYiIiPoTk3myOAo3OZbMZ2d6IkPwdncAAJbZExEREfUzltmTRWJneiLD0JTZF7HMnoiIiKhfMZkni8W58US9p0nmSyrq0NyshpUVC76IiIiI+gM/dRERUY+5O9vD2kqAWi2itLJe6nCIiIiILAaTeSIi6jGZTICn67UmeOUstSciIiLqL0zmiYioV67Pm2cTPCIiIqL+wmSeiIh6RdvRnk3wiIiIiPoNk3kiIuoV7VrzXJ6OiIiIqN8wmSciol7RlNkXs8yeiIiIqN8wmSciol7xYpk9ERERUb9jMk9ERL3CMnsiIiKi/sdknoiIekWTzNfWNaFa1ShxNERERESWgck8ERH1ir2dNZwdbAGw1J6IiIiovzCZJyKiXvP2YKk9ERERUX+y7umB6enpSE9PR1lZGQRBgLu7O0JDQxEWFmbI+IiIyAR4uclxOaeCHe2JiIiI+km3kvmUlBRs3rwZe/fuRWVlJURR1HleEAQ4Ozvj5ptvxrx585CYmGjQYImIyDixoz0RERFR/+pSMr9//37897//xdmzZzF48GDccccdGDZsGAIDA+Hi4gJRFFFZWYmcnBycPXsWBw4cwA8//IChQ4fi2WefxYQJE/r6fRARkYS8udY8ERERUb/qUjL/5z//GXfddRfee+89hIaGdrhffHw85syZAwC4fPkyvvvuO/z5z3/G8ePHDRMtEREZJS+3ayPznDNPRERE1C+6lMzv3bsXbm5u3TpxaGgoXnnlFTz55JM9iYuIiEyI17WR+SKW2RMRERH1iy51s+9uIm+oY4mIyDRokvnSyjo0NasljoaIiIjI/HVrabrffvsNly9fvuE+Bw4cwIEDB3oVFBERmRZXRzvYWMsgikBJRZ3U4RARERGZvS4n89u3b8dzzz0HV1fXG+5nZWWFRx99FDt27Oh1cEREZBpkMgEKN5baExEREfWXLifzq1evxp133gmFQoGqqio899xzKCgo0Ntv9OjRmDt3LlauXGnQQImIyLixoz0RERFR/+lyMn/hwgWEhYUBAJqamrB9+3ZkZmaitrYWq1evRnV1tXbfuLg4XLhwwfDREhGR0bre0Z4j80RERER9rcvJvFwuR0lJid72+vp6vPfeezh9+rR2W25uLpycnAwTIRERmQQvjswTERER9ZsuJ/Px8fHYsmULmpqa9J4TRVH7//n5+Vi7di3GjRtnmAiJiMgkeLkxmSciIiLqL11O5h999FFkZ2dj4cKFOHz4MABAEATt85mZmVixYgVuv/12AMDTTz9t2EiJiMioebuzzJ6IiIiov1h3dcf4+Hh8+umneP755/HMM89AEAQ89thj2oT+73//O0RRRGJiIt5++234+/v3WdBERGR8WpfZi6Koc8OXiIiIiAyrW+vMT5w4Efv378dbb70FURQxfPhwTJ48GYIgYNGiRUhOTsaXX37JRJ6IyAJplqara2hGVW2jxNEQERERmbduJfMAYG9vj2nTpsHNzQ2LFy/GG2+8AVdXV4wfPx4DBw40WGA1NTWYOHEiIiIidJrrtWfy5MmIiIjQ+1dfX2+weIiI6MZsbazg5mwHACjmWvNEREREfarLZfatOTk54cCBA2hqaoKdnZ32/w3pk08+QXNzc5f3nzZtGhYtWqSzzdbW1qAxERHRjXm5yVFeVY/ichVCA9ykDoeIiIjIbHVpZP7EiRN626ysrGBnZ6f3/105tjOXL1/Gt99+i6eeeqrLxygUCsTFxen843xNIqL+pZk3X8SReSIiIqI+1aVkfuHChViwYAG2b98OlarzJYdqamqQlJSE+++/H3/84x+7HdRbb72FP/zhDwgJCen2sUREJB1tR3suT0dERETUp7pUZr9z504sW7YM//d//wcbGxvExMRg6NChCAgIgKurK0RRRGVlJXJycnDmzBmcOnUKzc3NmDt3Lj744INuBbRjxw5cvHgRH3/8Mc6ePdvl45KSkrB+/XrY2NhgxIgReP755xEREdGt1yYiot7RrjVfzmSeiIiIqC91KZn39fXFW2+9heeeew5bt27F7t27sXbtWtTV1ensZ29vj6ioKDzzzDOYO3cuPDw8uhWMSqXCP//5Tzz77LNwcnLq8nGTJ09GTEwM/Pz8cPXqVfzvf//Dfffdhy1btiAwMLBbMbQmiiJqa1kqaso0lSRdqSghMhRLvu5cHKwAAIUlNfz92Y8s+ZojafCaIynwuqP+JsU1153lfQVRFMWevEhTUxPy8/NRVlYGAHB3d4evry+srXvUUw8A8O9//xsHDhzAxo0bIQgCUlJS8OCDD2Ljxo2Ijo7u8nmKioowY8YMzJkzB6+//nqPYjl9+jQaGhp6dCwRkaXKK23Aih1FcLKX4fl5flKHQ0RERGRybG1tu5T/9jjztra2RmBgYK9GvlvLzc3FqlWrsGzZMlRVVQGAdlSntrYWNTU1cHR07NK5vL29MXz48G6V6bfHxsYGYWFhvToHSUulUiErKwvBwcGQy+VSh0MWwpKvO/+almS+uk6NsMERsLHu9gqo1AOWfM2RNHjNkRR43VF/k+KaS09P7/K+PR9GN7CcnBw0NjbikUce0XvuwQcfRGxsLNavX9+vMQmCAAcHh359Teobcrmc30vqd5Z43cnlctjaWKGhsRm1DQJ8XSzr/UvNEq85khavOZICrzvqb/15zXVnRTajSeYjIyPx1Vdf6WxLS0vDO++8gzfeeKNbZfaFhYU4duwY5s6da+gwiYjoBgRBgJebHLnF1Sgqq4WvomsVVURERETUPUaTzLu4uCAxMbHd54YNG4Zhw4YBaFkmLy8vD7t27QIAbNu2DXv37sWkSZPg7e2Nq1evYsWKFbCyssKf/vSnfoufiIhaeLu3JPNcno6IiIio7xhNMt9VarUazc3N2scBAQEoKirC22+/jaqqKjg7O2P06NF4+umnDTafn4iIus5Ls9Y8l6cjIiIi6jNGncwnJibiwoULOtvWrFmj8zguLk5vGxERScfL/dpa82Vcmo6IiIior7DNMBERGZS3NpnnyDwRERFRX+nSyPxLL73U7RMLgoC3336728cREZFp83JrKbPPKaqCslwFhRuXDyIiIiIytC4l8ykpKd0+cXda6hMRkfk4n10KAFBW1GHRW8lYMj8OUxODJI6KiIiIyLx0KZnfs2dPX8dBRERmQFmuwpqf0rSPRRFYtiEVCRHeHKEnIiIiMiDOmSciIoPJU1ZDFHW3qUUR+coaaQIiIiIiMlNM5omIyGD8FE5oO8tKJgjwVThKExARERGRmerx0nT79u3DF198gXPnzqGqqgpi26EYAGlpae0cSURE5krhJseS+XFYuuGkdoT+ibtiWGJPREREZGA9GpnfuXMnHnvsMSiVSsycORNqtRqzZs3CzJkzYW9vj4iICDz55JOGjpWIiEzA1MQgLH/xFlhbtfyJGRLkIXFEREREROanR8n88uXLERMTgy1btuCpp54CANx5553417/+haSkJBQXFyMgIMCggRIRkenwVTghZrACAHDsfJHE0RARERGZnx4l85cvX8bMmTNhZWUFa+uWSv2mpiYAQEBAAO6991589tlnhouSiIhMzvAIbwDAiQtM5omIiIgMrUfJvL29PWxsbAAALi4usLW1RXFxsfZ5hUKBnJwcw0RIREQmKWFISzJ/JqMEdfVNEkdDREREZF56lMyHhITg8uXL2seRkZH44Ycf0NTUhPr6emzbtg2+vr4GC5KIiEyPv5cTvN3laGpW40xGidThEBEREZmVHiXzU6ZMwe7du9HQ0AAAeOyxx3D48GGMHDkSo0ePxtGjR/HII48YNFAiIjItgiAgYYgPAODY+UKJoyEiIiIyLz1amu6hhx7CQw89pH188803Y82aNUhOToaVlRUmTZqE0aNHGyxIIiIyTQkRXtjxexbnzRMREREZWI/XmW9rxIgRGDFihKFOR0REZiAmzAtWMgG5xTUoKKnBAE9HqUMiIiIiMgs9KrOPjIxEUlJSh89v374dkZGRPQ6KiIjMg6PcBkOCW9aZ5+g8ERERkeH0KJkXRfGGzzc3N0MQhB4FRERE5iXh2hJ1XG+eiIiIyHB6lMwD6DBZr66uxm+//QZ3d/ceB0VEROZDs0TdqfRiNDapJY6GiIiIyDx0ec780qVLsWzZMgAtifxf/vIX/OUvf2l3X1EUsWDBAsNESEREJm2QnytcnWxRUd2A89mliA5VSB0SERERkcnrcjIfHR2N++67D6Io4ttvv8W4ceMQHByss48gCJDL5Rg2bBimTp1q6FiJiMgEyWQC4iO88cuxHBw/X8RknoiIiMgAupzMT5o0CZMmTQIAqFQq/OEPf0BsbGyfBUZEROYjQZPMXyjCwllDpQ6HiIiIyOT1aGm6d955x9BxEBGRGYsPb5k3n5FbgbKqOrg720scEREREZFp6/E689XV1fjiiy/wyy+/IC8vDwDg5+eHm266CX/84x/h5ORksCCJiMi0uTnbITTAFZdzKnDiQjEmjwiUOiQiIiIik9ajbvaFhYW4/fbbsXTpUtTW1iIhIQEJCQlQqVRYunQp7rjjDhQVcQkiIiK6TrNE3XEuUUdERETUaz0amf/ggw+gVCqxfPly7Tx6jX379uGZZ57Bv/71L7z77rsGCZKIiExfQoQ3Nuy+hGPnC3HyYjECvJ2gcJNLHRYRERGRSerRyPyvv/6KhQsX6iXyQEujvAULFmDfvn29Do6IiMzHkGAP2FjLUK1qxF+XH8Sit5KRnJItdVhEREREJqlHybxKpYKnp2eHzysUCqhUqh4HRURE5qe8qh6NTWrtY1EElm1IhbKcfy+IiIiIuqtHyXxoaCh+/PFHNDQ06D3X2NiIH3/8EaGhob0OjoiIzEeeslpvm1oUka+skSAaIiIiItPWoznzDz/8MJ599lnMnz8f9913H4KDgwEAmZmZ+O6773DhwgX85z//MWScRERk4vwUThCElhF5DZkgwFfhKF1QRERERCaqR8n8jBkzoFKp8K9//Qt/+9vfIAgCAEAURXh6euLtt9/G9OnTDRooERGZNoWbHI/Pi8En358CAMgE4Mn5sWyCR0RERNQDPV5nft68ebjttttw5swZnXXmo6KiYG3d49MSEZEZmzE2BD/9noXMvEo8ensMpiYGSR0SERERkUnqUda9ZcsWjBgxAgEBAYiLi0NcXJzO8zk5OTh69Chuv/12A4RIRETmZGiIJzLzKpFfyrnyRERERD3VowZ4L730Ek6cONHh86dOncJLL73U46CIiMh8hQ90AwBcvFImbSBEREREJqxHybzYuntRO2pra2FlZdWjgIiIyLwNDnQHAKTnVKC5Wd3J3kRERETUni6X2Z8/fx7nz5/XPj569Ciam5v19qusrMR3332HkJAQw0RIRERmxd/LCQ721qita8KVwiqE+LlKHRIRERGRyelyMv/zzz9j6dKlAABBELBu3TqsW7eu3X1dXFzw7rvvGiZCIiIyKzKZgMGBbki9pMTFK2VM5omIiIh6oMvJ/N13342bbroJoihi/vz5ePrppzFx4kSdfQRBgFwux8CBA9nRnoiIOhQ+0P1aMl+OaaOljoaIiIjI9HQ54/b29oa3tzcA4KuvvkJoaCg8PT37LDAiIjJfmnnzbIJHRERE1DM9Gj4fNWqUoeMgIiILoulof6WgEnX1TbC3YzUXERERUXf0qJs9ERFRb3i6yuHpag+1CFzOrZA6HCIiIiKTw2SeiIgkMTjQDQBL7YmIiIh6gsk8ERFJInxgy7z5S1fLpQ2EiIiIyAQxmSciIkmEswkeERERUY8xmSciIkmEXSuzLyytRUV1vbTBEBEREZmYLrcPTk5O7vbJp06d2u1jiIjIMjjKbRDg7YScompculqOEZE+UodEREREZDK6nMw//fTTEAQBACCKYqf7C4KAtLS0nkdGRERmL3ygO3KKqnHxShmTeSIiIqJu6NbCvnZ2dpg0aRJmzJgBDw+PvoqJiIgsRHigG/Ycvcp580RERETd1OVkftWqVUhKSsKuXbuwe/dujBkzBnPmzMGtt94KBweHvoyRiIjM1OCBmiZ45RBFUVsBRkREREQ31uUGeGPHjsU777yDgwcP4v3334ednR1eeeUVjBs3Ds8++yz27NmDpqamvoyViIjMTIifC6ytBFTVNqCwtFbqcIiIiIhMRre72dva2mLGjBlYunQpDh48iJdffhklJSV46qmnMG7cOGzfvr0v4iQiIjNkY22FED9XAFyijoiIiKg7ujVnvi1nZ2fccccd8PDwgFqtxtGjR5GRkWGo2IiIyAKED3THpavluHilHBPjA6QOh4iIiMgk9DiZT0lJwbZt25CcnIzq6mqMHDkSb731FqZPn27I+IiIyMyFD3TDjwc4Mk9ERETUHd1K5k+fPo0ff/wR27dvR1FREaKiovD4449j1qxZ8PLy6qsYiYjIjA0ObGmCdzm3As3NalhZdXsGGBEREZHF6XIyP23aNFy5cgUhISG45557MGfOHAwcOLAvYyMiIgvg7+UEB3tr1NY14UphlXYOPRERERF1rMvJfHZ2Nuzt7WFlZYUdO3Zgx44dN9xfEARs3bq11wESEZF5k8kEDA50Q+olJS5eKWMyT0RERNQFXU7mR44c2ZdxEBGRBQsf6H4tmS/HtNFSR0NkupTlKuQpq+GncILCTd5nxxARkfS6nMyvWbOmL+MgIiILppk3n3qpGMpyFRMKoh5ITsnG0g0nIYqAIABL5sdhamKQwY8hIiLjwC5DREQkufySagBAYWktFr2VjOSUbIkjIjItynKVNikHAFEElm1IhbJcZdBjiIjIeHQ5mc/Ly+vwX35+PkpLSyFq/hoYQE1NDSZOnIiIiAicPn36hvuKoogVK1bgpptuQkxMDO655x6cPHnSYLEQEVHfUZar8MW2c9rHTCiIui/1UjHafgxTiyLylTUdHpOnrO72MUREZDy6XGY/efJkCIJww33s7e0xYcIEPPPMMxg0aFCvAvvkk0/Q3NzcpX0/++wzfPTRR3j++ecRERGBb775BosWLcIPP/yAwMDAXsVBRER960YJBcvtiTqXnlOOz384o7ddJgC+CscOj2toVLe7vZOPewCAkoo6ZBbWwduvDg4ODl2OlYiIDKfLyfxf/vKXGybzKpUKGRkZ+OWXX3Do0CGsW7cOISEhPQrq8uXL+Pbbb/HCCy/gb3/72w33ra+vx/Lly7Fo0SL88Y9/BAAMHz4c06dPx8qVK/H666/3KAYiIuoffgonCAJ0EnqhkySEiFqcuazEmytToKpvgre7HMpyFdTXfpYiQzw6vCEmiiLW/3yx3ec+Wn8S7z81Aa5Odu0+33qe/Vd7fuU8eyIiiXQ5mX/ooYe6tF9eXh7mzZuHZcuW4YMPPuhRUG+99Rb+8Ic/dOlmwPHjx1FdXY0ZM2Zot9na2mLKlCnYtWtXj16fiIj6j8JNjiXz47BsQyrU1zJ6d2c7eLjYSxwZkXHSdJ8vKqvFpxtPoaFJjahQT/x1USJq65rw++k8rNhyBucyS5F+tRxhgW5659h3IhdpWaWws7XC24+PQ31DMxzsrfH2l0eQr6zBP1YfxluPjYWtjZXOceezSvHx+pPax5ppMQkR3qykISLqZ11O5rvKz88Pd999NzZt2tSj43fs2IGLFy/i448/xtmzZzvdPyMjAwD0yvpDQ0Px5Zdfoq6uDvb2PftAKIoiamtre3QsGQeVSqXzX6L+wOuu+8ZHeyFy4Hhk5lfi441nUFpZj92HMzEuZoDUoZkEXnPmqaSiDvkltfD1dICna8tnmT3HcrHih3M6lSzDIxR45p4YQN0IB1vgluG+OJehxG+nCvDp9yfxxuKRkMmuV1fW1Tdh1daWsvzbJwQjQHF9BP6F+2Px2mdHkJZVig++PoL7pw5GYZkKjvbW2Hs8D7uOXNWLUy2KyMwtgYOtRx99JYha8Hcd9TcprjlRFDud3q5h8GQeAAICAlBeXt7t41QqFf75z3/i2WefhZOTU5eOqayshK2tLezsdEvBXFxcIIoiKioqepzMNzY2Ii0trUfHknHJysqSOgSyQLzuus8RwJgIR+w9VYlvdqTB1aoUVrKu/UEjXnPm5PjlGiSllEEEIACYFO0CR3sZfjxSrrfv+AhrXE7XLZkfNUhAyjkBF69WYP2OY4gNuT5tZXdqBcqq6uHmaIUwRZ3eZ527xrlhzV4lfj9TiN/PFHYaqyAAVaW5SKvrfF8iQ+DvOupv/X3N2dradmm/Pknmc3Nz4ebm1u3jPv30U3h6euLOO+80fFA9YGNjg7CwMKnDoF5QqVTIyspCcHAw5HKW/1H/4HXXO8GDmnA0/TeUVDVCWe+GmxL8pA7J6PGaMy8lFXVIWvsrNIPvIoBfTld2uL+rwh+RIfqj4gU1jvh2Vzr2nq7B3FviILezRkFpLX4/fxAAsHhuFGIivfWOi4wERJtsfLVDf079n++ORl1DMz774Zx2bv6UkQEYPTyy2++TqLv4u476mxTXXHp6epf3NXgyn5+fj3Xr1mHcuHHdOi43NxerVq3CsmXLUFVVBQDaEvfa2lrU1NTA0VG/GZKLiwsaGhpQX1+vMzpfWVkJQRDg6ura4/ciCAI7tJoJuVzO7yX1O153PePgANw1ORyrt53F9/syMWX0INhYd3klVYvGa848pOfV6K3wAAADPOUoKNEt9ZQJAkL8PeHgoP8h865bh2DviXzkK2uQdOAq/jh7GL797jSamkXEhXthYkJQh6WcESEKAPrJvI+nC6LDFIgN88Sy9Udw9kodauvVvO6oX/F3HfW3/rzmulpiD3QjmV+9evUNn6+rq0NmZib27t0LAFiyZEmXgwCAnJwcNDY24pFHHtF77sEHH0RsbCzWr1+v95xmrnxmZiaGDBmi3Z6RkQE/P78el9gTEZF0Zo4LxpZ96SgqrcXPh7MxY2zPVkchMkVOcv3ySpkg4J0nJuD4hSJts0iZIODJ+bEdNp6zsbbCw3Oj8ObKFGzZl476xmaknC2AlUzAI7dH3/ADY3urTMgEQbvKhKerPcZGuuDslTocSStEXX0T7O36pOCTiIg60OXfuu+++26n+8jlcowbNw7PPvtst5eli4yMxFdffaWzLS0tDe+88w7eeOMNREdHt3tcQkICnJyc8NNPP2mT+cbGRiQnJ2PixIndioGIiIyDva017r41HMs3n8Z3uy5i8siBsGvTVZvIXB05V6DzuHXSPjUxCAkR3shX1sBX4dhpB/mRQwcgyNcF2fmV2PZbJgAgOlSBQB/nGx7XdpWJ9m4c+HnYwMdDjsJSFQ6fK8DE+IAevmMiIuqJLifzu3fvvuHzdnZ28PDwgEzWs1JIFxcXJCYmtvvcsGHDMGzYMADAwoULkZeXp112zs7ODo8++ig+/vhjeHh4IDw8HGvXrkV5eXmXl9MjIiLjM210EL7fmw5luQo7fs/C3ImhUodE1OcaGpux7UBL0v3oHdEIGuCil7Qr3ORdXgZOWa7ClQLd+fan0ouhLFd1eo7ObhwIgoCx0QOweV8m9p/IZTJPRNTPupzM+/v7d+vEFRUVvZqv3hG1Wo3m5madbQ8//DBEUcSqVatQWlqKyMhIrFy5EoGBgQZ/fSIi6h821lb4w5QILN1wEut3XYSfwhEhfq5cy5rM2v4TOSivqofC1R7TxwTD2qp3/SLylNV68+/VIpCvrOnSz1JnNw7GRvlg875MHDtfhBpVIxzlNr2Kl4iIus6gk5saGhqwe/duJCUl4ddff8Xp06d7db7ExERcuHBBZ9uaNWv09hMEAY8++igeffTRXr0eEREZl1tGBmLN9nOoqGnAmytTIAjAkvlxmJoYJHVoRAYniiK27LsMAJgzIbTXiTzQ+dz33gr0cUKgjzOuFlbh0Jl83DJyoEHOS0REnev1XwlRFHHw4EG89NJLGDt2LJ599lmcPHkSs2fPNkR8RERkwcqr6lFZ06B9LIrAsg2pUJarbnAUkWk6caEY2QVVkNtZYdpow9yw0sx9l11rdtdZ07zuEgQBE+Jaqjf3n8w1yDmJiPqCslylnWZkLno8Mn/mzBkkJSXhxx9/hFKphCAImDlzJh544AHExcV1q6U+ERFRe/KU1Wi7QpdaFLtcIkxkSrbsa1lbeEpikEHL1bvbNK+7JsT54dud55F6sRgV1fVwdbLr/CAion7044EMLN98GqIIs6ry61Yyf/XqVWzduhVJSUnIzs6Gj48P5syZg5iYGDz77LOYNm0a4uPj+ypWIiKyMH1dIkxkLLLyK3HiYjFkAnDbBMM3e+xO07zuCvB2xiB/V2TkVuD30/mYPia4T16HiKgzynIV8pTV8FM4oalZjSPnCnHwVB7OZJRo99FU+SVEeJv8wECXk/l77rkHp06dgru7O6ZNm4a33noLI0aMAABcuXKlzwIkIiLLdX15rJNQX0vo75kSbvJ/fIna0ozKj43xg4+Hg8TRdN+EOH9k5Fbg15O5TOaJSBLJKdlYuuGkXtPP9phLlV+X58ynpqbC398fb775Jl555RVtIk9ERNSXpiYGYeWrUxEV6gmgZR49kTkprazDvuM5AIDbJ5nmEoyaefOnLytRWlkncTREZGmU5ap2E/khQe64+5ZwtJ0Bbi5Vfl1O5v/617/Cy8sLS5Yswbhx4/Daa6/h0KFDELty64OIiKgXFG5y3Ds1AgDwy/GrqK1rlDgiIsP58UAmmppFRAZ7ICLIQ+pwesTHwwERQe4QReBAap7U4RCRhWlvGU4AeHDmUCyYGdmnjUCl1OUy+/vvvx/3338/rl69iqSkJGzbtg3r16+HQqFAYmIiBEFg0zsiIuoz0aEKBHg7IaeoGvuO52DG2BCpQyLqtdyiKiT92rIcnamOymtMiPPHhewy/HoyF3MmDJI6HCKyIBXV+lV7rUff+7oRqFS6vTRdYGAgnnjiCWzfvh0bN27ErFmzcPjwYYiiiDfeeAN//etfsXfvXtTXswySiIgMRxAEzLg2F3f7wSxWhpHJS07JxuPv7oGqvhkAUFnb0MkRxm18rB8EAUjLKsX+EzlmtfwTERmvpmY11iZf1NnW3ui7wk2O6DCF2STyQC+WpgOAqKgoREVF4YUXXsChQ4ewdetWbN++HRs2bIBcLseJEycMFScREREmjwjEl9vTkJVfiQvZZRgSbJolyWRZWndXVrjJ0dikxu4jV7BsY6rOfp9uPIURQ3xM9oOmp6scvgpH5BXX4P2vj5nV8k9EZLy2/ZaJq4VVcHG0xT8eH4uqmkazGn2/kV4l8xoymQxjx47F2LFj8cYbb2D37t1ISkoyxKmJiIi0nBxsMTHOHz8fuYLtBzOZzJPRa91dWRCAmDAFMvMqUVmjPwpv6t2VleUq5BfXaB+b0/JPRGScSivr8O3O8wBa5scH+7pKHFH/6naZfWfs7Owwc+ZMfPrpp4Y+NREREWaMDQYA/Jaa125CRGQs2nZXFkUg9ZISlTUNcHOy1dvf1Lsr5ymr0Xbyi+YGBRFRX1i97SxU9U0IH+iGKaMGSh1OvzN4Mk9ERNSXBge6ITTAVVuqTGSsOuquvHBmJL54bRqeutu8uiv7KZzMdvknIjI+ZzNK8MuxHAgC8Ni8GMhklteM3SBl9kRERP1F0whv6YZUbPstAyF+rgjwdjLpJIjMkya5bZ3QywQBNw0PhJWVzOy6Kyvc5FgyPw5L15/UjtCb+g0KIjJOzc1q/G/TKQAtneoHB7pLHJE0ODJPREQmZ1J8AGytZSgqU+Gvyw9i0VvJSE7JljosIh0KNzkiBl7/gGkJ3ZWnJgbhmXvjAQAervYWWfZKRH1v3e6LyMqvhKO9NR6cOVTqcCTDZJ6IiExOtaoRDU1q7WNNoy0uhUXGpKRChfSccgDA43fGYOWrUyyis/vYaD9YWwkorahDfgnnyxORYa3ffRFrd14AANTWNeHQmXyJI5IOk3kiIjI5ecpqvW1stEXG5scDmWhqFjE0xAMzx4aYzeh7Z+ztrBER1LLSROolpcTREJG5KKlQ4V/fHsOa7WnabSIs+2Y+58wTEZHJ6WguMhttkbGoq2/Cjt+zAAC3TwqVNhgJxA72wtmMEqReKsaMMcFSh0NEJkhZrkKeshpOclvsPXYV2w9k6lTlaZj6sp69wWSeiIhMjrbRVqtlvx6bF22Rf8jJOO05dhVVtY0Y4OmAUcN8pQ6n38UOVuDbncCpS0qo1aJFdpkmop5LTsnW+RuvMTjQDek55byZfw3L7ImIyCRNTQzCZy/dChdHGwCAnS3vT5NxUKtF/LDvMgDgtgmhsLLARDZ8oDvkdlaoqm1AZl6F1OEQkQlRlqvaTeSfuzcB//rzRCyZb17LevYGP/kQEZHJ8vF0xNyJYVjzUxp+PJCBySMCpQ6JCEfTCpGnrIGjvTVutdBu7tZWMgwbpMDRtEKkXipGaICb1CERkYnIU1brJfJAS1WeIAhmt6xnb3BknoiITNrUxCBYW8lw8Uo5Ll4pkzocImy5Nio/fUww5HaWO24SO9gLAJvgEVH3NLUzL75tKb25LevZU0zmiYjIpLk522FivD8AYNtvGRJHQ5YuPaccpy8rIZMJmDVukNThSCouvCWZP5tZgsamZomjISJTIIoi1u++pLPN0kvpb8RybxcTEZHZmDUuBHuOXsWvJ/OwaE4U3JztpA6JLNQP+1tG5cfH+sHL3bI/eAYNcIabkx3Kq+txPrsM0aEKqUMiIiP3W2oezmaUwNbGCm8/Pg4Njc0WX0p/IxyZJyIikxc+0B3hA93Q1KzGzpQsqcMhC3Xpahn2H88BYJnL0bUlCAJiBrck8KmXiiWOhoiMXV1DE1ZvOwsAuGvyYEQEubOUvhNM5omIyCzMHt9S0vzTwSw0NevPtyPqS8kp2Xjuw/1QX2valJlXKW1ARkI7b/4ik3kiurHNe9NRXKaCl7sc824Okzock8BknoiIzML4WD+4OdmhpKIOKWcKpA6HLIhmGaXWlm1IhbJcJU1ARkSTzF+8Wo7aukaJoyEiY1VUVouNe9MBAIvmDIOdjZXEEZkGJvNERGQWbKytMG10EAAgiY3wqB9dyC7VW0ZJLYrIV9ZIE5AR8fFwgK+nI9RqEWcySqQOh4iM1JfbzqGhsRnDBnliXIyf1OGYDCbzRERkNqaPCYZMJuBsRgky8yqkDocsgKq+Cd8lX9Db3nYZJUumnTfPUnsiakNZrsLW/Zex/2QuZALwyO3REARB6rBMBpN5IiIyGwo3OcZE+wIAvt9zCafSi1nqTH2mqVmNf351BFkFVbC3tYLs2udPLqOkS7NEHZvgEVFrySnZWPRWMj774QwAYGiIJwb5u0oclWnh0nRERGRWZo8LwYHUPOw7kYt9J3IhCMCS+XGYmhgkdWhkRkRRxLINqTh+vgi2NlZ467Gx8HSVI19Zw2WU2tAsSZddUIWyyjq4u9hLHBERSU3Ta6T1FKVzmSVQlqv4+7MbODJPRERmxcfDQeexKLIZGRmOslyFU+nF+PyHM/j5yBXIBOCFB0cgIsgDCjc5l1Fqh6uTHQb5tYy2Jf2WyZ9FIkKesrqdXiNgr5Fu4sg8ERGZlfwS/Q8CmmZkTLKoN5JTsvVGkh6/Mxajhg6QLigT4epsBwDYsPsiNu65yGoZIgvnp3CCAKB1Ps9eI93HkXkiIjIrfgontO2dww8I1FvtlYQKAEZE+kgWk6lQlqtw8mKR9jGrZYjI3cUerk522sfsNdIzHJknIiKzonCTY8n8OCzbcBLqa4nX2BhffkCgXmmvJFQEWPHRBe2X07JahsiSpZzJR3l1PeT21vjL/cMR4ufK3wc9wJF5IiIyO1MTg7Dy1am4fVIoACDlbAGyCyoljopMma+nfmUHKz66htUyRNSaKIrYuOcSAOC28YMwcugAJvI9xGSeiIjMksJNjkVzhmFEpA8am9T4z9rjaGpWSx0WmaiUswU6j1kS2nWaapnWCT2/dkSW6/RlJS5dLYetjRXmTBgkdTgmjWX2RERktgRBwJL5sVjy/l5czqnAhp8v4t5pQ6QOi0zMlYJKrE46CwC4b9oQRA3y5PJz3TQ1MQgDfZzxl49/hQBgTLSv1CERkUQ27m4ZlZ8yaqDOvHnqPo7MExGRWfN0lePxO2MAAOt+voj0q+XSBkQmpbFJjX99exwNTWokRHjjnlvDufxcDw0J9kCwrwtEAMfOF3W6PxGZn/Sccpy4WAyZTNBOhaOeYzJPRERmb2J8AMbH+qFZLeK9r4/i2PlCdtKmLlmbfB4ZuRVwdrDB0/fEQSYTOj+IOjRyaEv3/yNtpi0QkWX4/tpc+Ylx/hjQTi8S6h4m80REZBEemxcDuZ018pU1eP2zQ1j0VjKSU7KlDouMlLJcha37L2PDtXLQJfPj4OnK0fjeGhk5AABw7EIRe1gQWZg8ZTUOnsoDANw5ebDE0ZgHzpknIiKL0NikRl1Dk/axZq3rhAhvlkyTjuSUbJ015SOD3TE2xk/aoMxEeJA7nB1sUVXbgLSsUkSHKqQOiYj6yeZfLkMtAiMifRDs6yJ1OGaBI/NERGQRbrTWNZGGslylk8gDwIXsMk7LMBArmYARkd4AgCPnCiWOhoj6S3pOubYa7i6OyhsMk3kiIrIIXOuauqL9mz7gTR8DGjm0pdT+yDnOmyeyBMkp2Xj2P/ugVrf8cs0pqpI4IvPBZJ6IiCyCZq3r1v3LFs+NYok96bBqp8Edb/oYVkKEN6xkAnKKqpGnrJY6HCLqQ5pqp9Y+2XiK1U4GwmSeiIgsxtTEIKx8dSq83VsSeGdHW4kjImPS2KTG51vP6myTCQKenB/Lmz4G5Ci3wbBBngCAoyy1JzJrnOLWt9gAj4iILIrCTY6bhgdi/c8XcehMPm5KCJA6JDISX/+UhvSr5XCS2+D1h8egobEZvgpHJvJ9YOTQATiVrsSRc4W4bSLXmiYyV34KJ71trHYyHI7MExGRxRkd1TJn9/j5QjQ0NkscDRmD4xeKsOmXdADA0/fEIyLIHdFhCibyfWTUtfXmz2QoUVvXKHE0RNRX3F3sYWdrpX3MaifD4sg8ERFZnLAAN3i62qOkog6n0pUYEekjdUgkobKqOvxn7XEAwMyxwRgT7StxRObPz8sJ/l6OyC2uwYmLxRjHpf+IzNLlnHLUNzRDbmeFl/84CgHezkzkDYgj80REZHEEQUDisJbR+UNn8iWOhqRUVFqLv69MQXlVPYIGOGPRbVFSh2Qx2NWeyPwdS2vpixEf4Y24cG8m8gbGZJ6IiCzS6KiW0deUMwVoVoud7E3mKDklG4v/sQuXrpYDAMbF+sHOxurGB5HBjLxWan80rZA/g0Rm6tiFIgDA8CGsgOsLTOaJiMgiRYUq4GhvjfLqelzMLpM6HOpnmuWSWqeQ3yVf5HJJ/WhoiCcc7a1RUd2AS1f5M0hkbiprGnDxSsvPdkKEt8TRmCcm80REZJFsrGUYEclSe0uVW8zlkqRmbSVDwrXRuiNcoo7I7Jy8WARRBIJ9XVhe30eYzBMRkcUaHX09mRfbZnZk1tpL2rlcUv/TlNpz3jyR+Tl2vqXEnqPyfYfJPBERWayECG9YW8mQp6xBTlG11OFQP2lsasb3ey8BAIRr27hckjQSIrwhE4DMvErsP5HLaQ5EZkKtFnFcM18+ksl8X+HSdEREZLEc7G0QF+6Fo2mFOHQmH4E+zlKHRP1g22+ZKCiphYeLHf7x+DiUVdbDV+HIRF4Crk528PFwRH5JDd7/+igEAVgyPw5TE4OkDo2IeiEjrwLlVfWQ21khMthT6nDMFkfmiYjIonGJOstSUV2PdbsuAAAWzIhEgLczosMUTOQloixXoaDk+pQHUQSWbUjlCD2RiTt+rcQ+JswLNtZMOfsKv7JERGTREocNgCAAF6+Uo6SCCYS5+3bnedTUNWGQnytuHjFQ6nAsXp6yGm27VbARIZHpO3a+panl8CEsse9LRlVmv2/fPnz22WdIT09HdXU1fHx8cOutt2LJkiVwdu649HHBggU4fPiw3vbt27cjNDS0L0MmIiIT5+5ij4iB7jifXYaUswWYOTZE6pCoj1wpqMSOQ9kAgIfmDoOVTOjkCOprfgonCAJ0VhZgI0Ii01atasT5a0u+JnB9+T5lVMl8eXk5YmJisGDBAri5ueHSpUv4+OOPcenSJaxateqGxyYkJOCFF17Q2RYQENCX4RIRkZkYHeWL89llOHQ6n8m8GVuVdBZqtYjEYQMQE+YldTgEQOEmx5L5cVi6/qR2hJ6NCIlMW+rFYqjVIgK8neDj4SB1OGbNqJL5uXPn6jxOTEyEra0t/vrXv6KwsBA+Ph3f2XFxcUFcXFwfR0hEROZodLQvvvjxHE6lF+Pw2QIM8nfVSSaU5SrkKavhp3BikmGijp8vwrHzRbC2ErBozjCpw6FWpiYGwUlug3e+PAIHe2tMHhEodUhE1AvXS+w5Kt/XjCqZb4+bmxsAoLGxUdpAiIjIbPl7OcHdxQ5llfX4+6oUnY7aySnZWLrhJEQR7LRtogpLarBs40kAwKxxg+Dn5SRtQKQnMcoXLo62qKxpwLnMElZOEPWTjm5W9/Qmtii2WpKO8+X7nFEm883NzWhqakJ6ejqWLVuGyZMnd1oyf/jwYcTFxaG5uRmxsbH485//jJEjR/YqDlEUUVtb26tzkLRUKpXOf4n6A68701NSUYeyynrtY1EEPl5/Eh+vP6mzX0un7ZOIHOgMT1f7fo6yY7zmOrbnWC5WbDmnLeF2d7Lm33YD6ItrLj5cgX0n8vDbyRyE+XHOPOnj7zrD2nMsFyt+OKe9Wf3I3KGYPNy/w+1dcaWgCiUVdbCzkSFkgNzkf99Kcc2JoghB6FpPF0EUxbZNRCU3ceJEFBa2lGdMmDABH330ERwcOp5v8dFHH8HPzw/BwcEoKirCypUrceHCBaxZswbx8fE9iuH06dNoaGjo0bFERGRaMgvr8OVuZZf3nxTljJuiXbr8x5akUVHbhA+3FOh0SxcE4Jm5A+DqYJTjGRYt7aoK634tgZujFf582wD+fBH1ofZ+PwKAi4MMlbVqnW3d+b3527kq/HyyAoP97HH/TQoDRmxZbG1tER0d3el+RvmXbMWKFVCpVEhPT8enn36Kxx57DKtXr4aVlVW7+z/99NM6j2+66SbMnj0bn3zyCT777LMex2FjY4OwsLAeH0/SU6lUyMrKQnBwMORyznOl/sHrzvR4+9Xhqz2/tumoDfzl/ji8981JtL3tve9MFXLLBdw3dTAGeDggv6QWvp4Oko3W85pr35mMUogo0NkmioCzhz8iQzwkiso89MU1FxLajE2//4LymmY4egQiaEDHKxmRZeLvOsNp7/cjAL1EHuje780Nvx8FAIyPD0JkpOkv/ynFNZeent7lfY0ymR8yZAgAID4+HtHR0Zg7dy527dqF6dOnd+l4BwcHTJo0CTt37uxVHIIg3LAigEyHXC7n95L6Ha870+Hg4IAl8+OwbEMq1KIImSDgyfmxGB8fhNoGtNoOjIj0wal0JdJzKvHmqmPacxjDfHpec7oGBeiP7MoEASH+nnBwYCJgCIa85hwcgPhwbxw+V4DUy+WIHMTmWdQ+/q7rvQGKJr1tMgF4bF4MPt10Sm+5yK783qyta8SFK+UAgDExgWb1PerPa647VUlGmcy3FhERARsbG1y5ckXqUIiIyIxNTQxCQoQ38pU18FU4ahv+tLe9rKoOq5POYu+xHO3xLfPpU5EQ4c2O90bC09Ve21QNgPYmDb8/xisxagAOnytAypl8/GFKhNThEJmtlLO6o/Ka349TE4NgZSXDsg0nob6W0I+J9u3S783fUvPQ1CzC210OXwX7XvQHo0/mU1NT0djY2K0142tra/HLL790aZ4BERGRhsJN3u4Hlrbb3Z3tceuogTrJPACoRRH5yhomi0Yit7galTUNsJIBry4ajWBfF35vjNzIoT4QBCA9pwLKchW/X0R9oK6+CVv2XQYAPHx7FEJ8Xdu9ib3ttwx8vzcdx84XdvrzmJySrW0aW1SmQnJKNld+6QdGlcwvWbIEUVFRiIiIgL29Pc6fP4+VK1ciIiICt956KwDg5ZdfxpYtW3Du3DkAwNGjR/H5559jypQp8Pf3R1FREVavXo3i4mL897//lfLtEBGRGfNTOEEQoDef3sHeqP60WrSjaS3LI0WHemFEJEu2TYG7sz2GBHkgLasUKWcLMGtciNQhEZmdnSnZqKxpwABPB8waGwIrK5nePgo3OR6cORTnMkuRllWKz384gxcXtr9SmLJchaUbTupsY6Va/9D/zkkoJiYGO3bswP/7f/8PTzzxBL7//nvMnz8f3377LWxtbQEAarUazc3N2mO8vLzQ2NiI//znP1i8eDH+/ve/w8vLC99++y1iYmKkeitERGTmFG5yLJkfB1mbuW3/XXcCNapGiaKi1o6mtZSRjhjKRN6UJA4bAABIOZMvcSRE5qexqRmb9rY0WLvz5sHtJvIaMpmAx++MgUwm4MCpPBw/X9TufucySvRubGsq1ahvGdXwwSOPPIJHHnnkhvv885//xD//+U/t46CgIKxcubKvQyMiItLTej69lUzAO18dQWZeJf6+KgVvPjIGtjbtr8JCfa+2rhFnM0oAgKPyJiYxagC++PEcTl9WokbVCEe5jdQhEZmN3UeuorSyDp6u9rhlZGCn+4f4uWLO+EH4Yf9l/G/zKSx9/madv21FZbVY/eNZveNkgsB58/3AqEbmiYiITI3CTY7oMAWGDvLE64tHw8HeGmczSvD+10dRWFKDU+nFUJarpA7T4qReKkZTswhfT0f48QOlSQnwdoa/lxOamsUORwKJqPuam9XYuOcSAGDeTWGwse7aDef7pkXAw8Ue+coafL/3+rJpxWUqvPLpASjL6+DqZAvZtUI1NhvtP0Y1Mk9ERGTKQgPc8OqfEvG3z37HoTMFOHSmpczbGJatszSa+fIjhvp0a5kfMg6jowbg+73pOHQ2HxPi/aUOh8gs7DuRi8LSWrg62WLq6K7/PXKwt8HiuVF4b81RbNh9EbFhCpRWtqzqUlSuwgBPB7zzxHgA0FsRhvoWR+aJiIgMKDpMgUfv0O3Zolm2jiP0/UMURRxNKwQAjBjCEntTlDjMFwBwLK0QTc1qiaMhMn1qtYiNey4CAOZODIW9bffGdMfH+iFusBcam9R4YdlveHfNURSVq+DiaIt/PD5Ou+pLdJiCiXw/YjJPRERkYL4KB71tUjQDUparLLLMPzOvEqWVdbCztUJUqKfU4VAPhAe5w83JDjV1Tdi6/7LFXcNEhvb7mXxcLayGo9ymR6tECIKAe6aE622vrm3QawRL/Ydl9kRERAbW3rJ1goA+awZUUlGHzMI6ePvVwcGh5UZCcko2lm44CVG0vDJ/zah8bJgXmxCaKCuZAD8vR5RX12P1tnP44sdzFnUNExlScVktvvyxZVnv2eND4GDfs6aS6rYt6wGoxZbSeo7GS4PJPBERkYFplq1btiFV++HH3tYazWr9D0K9tfNQFpZtTIUoAl/u/hVDQzxgJRNw+nKJdh9Nmb+lrPmrLbHnknQmS1muQlpWqfaxpV3DRIbS+sYuALg42Pb4XO3dqGbXemmxzJ6IiKgPTE0MwspXp+Bvi0djoI8zVPVN+PvKQ6itM9wa9MfSCrF0Q6rOB6tzmaU6ibyGpaz5W1nTgAvZLUng8CHeEkdDPZWnrOa61US9pCxX6STyALBy69keT1vR3KjWlNWza730ODJPRETURzQNgYJ9XfDch/uQXVCF978+hlcXJcJK1v4cQ2W5CnnKavgpnHQ+ILXeLgjA1z+dx89HrrR7jumjg7AzJbvfyvyNyfELRVCLQLCvC7zd9XsXkGngCCBR793oplhPE/CpiUFIiPBm13ojwWSeiIiojync5Hh1USJeWvYbjqYV4pONqZiU4K+XsHc0z71tmaS1lYCm5vZL9mWCgHumRGDwQHedMn8XR1u4O9v1+XuV2rFrJfYclTdt7U1VGR01gIkDUTf4KZz0thnippjmRjVJj8k8ERFRPwgf6I5n7k3Ae2uOIjklG8kp2RAADI/0wQBPB5RV1eFAar52f1EEPl5/Er+dzMWJi8U652pqFhEW4IbH5kUju6AKyzachFoEZAK0JY+a0ZOs/Ep88PUxVFQ34NeTubhpeGA/v/P+06wWcex8y/ryI4cOkDga6i3NNfzjgUxs3HMJJy4Wo6yyDu4u9lKHRmQSPF3t4epoi4qaBgAsizdHTOaJiIj6SWSwh85jEdebtXWkbSKv8afZQxER5IGIIA9EDnRGyok0JMZHItD3+mtoRk/m3RyGNT+lYd3PFzEhPqDDEn9j0dFUg85culKGqtoGONpbY0iQex9GSP1F4SbHghmRSL1UjEtXy/H1jvN46u44qcMiMglpWaWoqGmAnY0MLy0chSBfFybyZoYN8IiIiPpJnrK63e2TEvxx1+TBaJtiCwIwd+Igve0yQYCf1/XySU9Xe4T42MPTtf0Ry9njQ+Aot0FOUTUOnsrrxTvoe8kp2Vj0VjJe+fQgFr2VjOSU7C4fq7kxEh/hDSsrfsQxFzKZgIfnRgMAdh3OxuWccmkDIjIRe45eBQCMi/XH8EgfJvJmiH/piIiI+ommqVdrMkHAH2cNw8JZQ7Hkbt0uwUvmx2Hx3Gi97d0tk3Swt8HcCYMAAOt/vgh1HyyRZwhtOy9rliPraufl38+0TFMYEsxReXMTGeKBiXH+EEXg861nILaz3jURXdfQ2IzfTuYCAG4Zab7Tqywdy+yJiIj6SdumXm0T8466BBuie/CcCYOwed9lZOVXIuVsPsZE+xn0vRlCbzovb/rlEq4UVAFoWXpJbmeDqYlBfRUqSWDh7KE4dCYfZy6X4PfT+RgbY3zXMJGxSDlbgJq6Jijc5IgapJA6HOojTOaJiIj6UWeJeUddgnvbPdjJwRZzJgzC+p8v4rtdFzE6yhdC2zIBifkpnCCgpZdAa+k55YgO6/jDaJ6yGquTzmkfa0b0EyK8WVZqRrzdHXDHzWFYt+siViWdxcihPrCxtpI6LCKjpCmxv3l4AGRG3ieFeo5l9kRERP1M4SZHdJii3xPN2yYMgr2tFTJyK3Ckk8Z7UnBxtIWDXH+cYVXSWXz54zm96QHNahE/H87GXz7ar3eMZkSfzMudNw+Gh4s9Cktr8e3OCziVXtzlaRhElqKsqg7HL7Ss7DF5BEvszRlH5omIiCyEq5MdZo0Lwfd70/H1T2mws7GCv1f3Osb3pR2/Z6FG1QR3F3s8+4c4+Hs5IzklG+t+voiNey4ht7gaC2dGQllRB2V5LTb/chnZ10rr2zLEWspkfOR21lg4KxL/WXsCG/dcwsY9lyAIwJL5cZxWQXTNvuO5UKtFRAx0R4C3s9ThUB9iMk9ERGRBbp8Uhi37LyMzrxKv/u+g0SRCdfVN2LD7EgDg/mlDEB/hAwB4YEYk/L2d8NG6k/j9dD5+P52vc5yT3AZ33xoOO1srLN90ut1eBGRe2s7/5bQKIl17r5XYT2bjO7PHZJ6IiMiCNDWr0dx8vVzdWBKhpN8yUF5dD19PR73OyzcPD4SdrRXe+eKIznYBwD+fHIcgX1cAwKihA3rVJJBMQ0Gp/vSJrjZKJDJ3mXkVyMirgLWVDBPi/KUOh/oYk3kiIiIL0t5a91InQjWqRmzamw4AuHdaBKzbWSPeSW6jt00EUFnTqH3c2yaBZBo0Szy2XvmA0yqIWmga340a5gNnB1uJo6G+xgZ4REREFqSjte6lTIR+2H8Z1apGBPo4YWJ8QLv7GGPcJA3NEo+tLwdOqyACmpvV+OV4DgBg8nCW2FsCJvNEREQWRJMIaQiCtIlQZU0Dtuy7DAC4f1okrDpYQkkTt+xaRs958ZZtamIQXv7TKACAva0MkxLavwlEZElOXCxGeVU9XBxtMTzSR+pwqB+wzJ6IiMjCTE0MQnJKFi5kl2Px3ChJm99t2nsJqvomDPJzxZho3xvuOzUxCAkR3pwXTwCAxGEDoHCTQ1muwvHzRZ1eP0TmbsfBLOD/t3fvcVHWef/H3wOCgCiIgAfwfEBNELVCF601zdLKbt20rbbd30qWmt5rh/u+yzvbY+W263rnsYdWa621pdZqFplpbgc1MxXJs4QogiiIIIcRRrh+f+BMjDMoKsyBeT0fjx495nt955rvBR8v5nN9T5JuvqGd0+lKaHr4LQMA4IO6XFw07lxppdva8MOJIq39MlOS9NDo3vKro1e+tsjwYMX3iCSRh0wmk5ITOkiStuzJdXNrAPda91Wmtu/PkyRt2nFcG7Yfc3OL4Aok8wAA+KCYqFBJ0ol8xwXxXGHD9mOaOe8LXaiqliSdPXfeLe2AdxvavyaZ/3Z/niotVW5uDeAeBUVmLV3zve21dZeSgiKzG1sFVyCZBwDAB8VE1yTzuW5I5guKzFq4Ks2ubPHqdL544qr16tRakWFBMldc0K5Dp93dHMAtNu447lBm3aUETRvJPAAAPij2Ys98Tn6ZqquNK9RuWIeOFdptKybxxRPXxs/PpOT+NXtpf53GUHv4nqO5xVq96bBDObt9+AaSeQAAfFDbiBA18zep0lKlgmLX9YiXlFfqH58ccCjniyeuFUPt4auKSir0pze2q8JSrdjoUHb78EGsZg8AgA/y9/dTuzYtdOJ0qXJOlyq6dUijf2b5eYt+t2ybcvLL1CKomcwVF1Rt8MUT18c61L6g+Lx2HTqtwf1Y1R5Nn+VClV5681udPmtWh8gW+suMYTpfWcVuHz6GZB4AAB8VExWqE6dLlZtfqgFx0Y36WZWWKr3w9291+HiRWoYE6qXHk9UiKIAvnrhufn4m/aR/B334Zaa27Mm9bDJfUGRWbkGpOkSGEnPwWoZhaPHqdO0/WqgWQc303KQkhYYEKjRExLWPIZkHAMBHuWJF+4Iis7JPleiDzRlKzyhQcPNm+v2jg9W5XStJfPFEwxiaEKMPv8zU9n01Q+0DA/wd6mzYfkwLV6XJMCSTSZo+IVGjkjq7obXAtSsoMmvlpsPauOO4/EzSf//yJnVs29LdzYKbkMwDAOCjrCva55xunGS+dvIkSf5+Jj2fkqSeHVs3yufBd8V1bq02YUE6U3xeuw+dVtIlvfPWHRSssWjdumtgXDQPlOA11m/L0uLVe2RdPzS5fwcNbORRVfBsLIAHAICPirGtaN/wyfylyZNUs2J9uzYscoeG5+dnUnJCzUJ4X6c7rmq/50i+0x0U3LE1I3AlBUVmpWfkq6DIrOLSCm3ema0/vPaNFtVK5CVpy56TbOnp4+iZBwDAR1mT+fwisyosVWruZGjytTp+6pxD8mQY0smCMnpC0SiS+3fQh19l6tt9ebJcqFJAs5p43pKeq1c/SHf6njdT9+vx+xLVLSaM+fTwCJeOaDJJqmvzUOuWnsSr7yKZBwDAR4WFBqpFcIDKzBadLChTl/atGuS85ectem8D+x7DtXp3jqg11D5fg3pHa/nH+7Xmix8kSR2iWiivoEzVRk2C5Odv0uHjRZo579/q2zVC+48WMp8ebnUwq1ALVqbZlRmSOrYNVf+eUfp4y1G7h6TcU0EyDwCAjzKZTIqNCtWh42eVc7q0QZL5opIK/f71b5SRXaRm/iZVVRsy2H4OLmAdav/hV5l6b+NhvbfxkA4fL5IkjftpD/1qTB+dLamw7aBQbRh686P9+jItR/syC23nYT49XMU6GsTPZNKmHdn6/LvjTutNHd9f8T0i1bVDmBat2qNqw+CeCkkk8wAA+LSY6Jpk/kR+yXWdp6DIrL0/FGjFJwd06qxZrVoE6neTB6t1yyC2n4PLBATULAd1+PjZmtfN/PT0Q4P0k4vz6SPDg+3i8L8evlFxnVtr2dq9dudh+DIa26ffZNXMga9rDP1FtXvfRyV11sC4aO6psCGZBwDAh3WIqvmSmJtfds3nuHSOZ8uQAL08Y5htTj5fOOEKBUVmfbA5w66sqqpavTpdfveEnyR00Gsf7vWI4cvM2296av9Om/n7affh09r6fa6++T7Poe5zv75ZxWWVl+19v/SBFHwbyTwAAD4sNqpmf+Jr3Z7O2ar1ZWZLgy6mB9RHbkGpkxXrr7zoYmR4sKZPSNTClWm2hcam3Zfg8oSp9kMx5u03DZc+6LySkKAAJfVrT+876o2t6QAA8GHWveZP5JfKqO83zlrSDp+uM4ECXKlDZKhMJvuy+vawj0rqrPlP/1SBF4fpt24V1BhNrNOlD8Ws8/bZdsx7HTxWs5jdpffHTu1aasxPulw2ViPDgxXfI5JEHldEMg8AgA9rH9lCJlNNb3pxaeVVvTf/rFlvpR5wKGeFZbiDtYfd72KWdLULhHVpH6a7k7tJklZuPHxND7euVU6+s1EFBg/FvIh1b/jMnGK9tnav/mfh107rTRmXoKk/639dsQpYMcweAAAf1jzAX1HhwTp91qyc/FKFt2xer/eVlFfqt8u26mxJhVq3bK7i0gpVs2o93Ox6Fwj7j1u7a93XmTp07KzSMwrUv2fUNbXjaue+Z+YUOZTxUMx71Hc4PYvZoaGRzAMA4ONiokJtyfwN3dpcsf75ygv6w2vfKPtUqdqEBenlGcPkZzLxpRQe4XoWCGvdKkijkjrr4y1HtXLj4WtK5q927vvZc+e1cuMRh3IeinkHZ+uGSNKTDw5UpaVKi1ens5gdGg3JPAAAPi4mOlS7D+fXaxG8C1XV+vNb3+ngsbNqERyg3z86RNGtQySxaj2ahvHDe2j9tiylZxTo4LFC9e4cUe/31jX3/XJ71i9d871KzRZ1jw3TI2P7adaSLTIMqWN0y4a4HDSyY3nnnPbIR4bVzHsf1LstDzrRaJgzDwCAj4u9uIVcTv7lk/n8s+X6w2vf6LsDpxTYzE/PpySpc7tWrmgi4DLRrUM0fFBHSTVz56+G8xX16577vn3vSX29J1d+fibNmJCoft0jdfvNNb34K9Y7rkcBz7M1/aRDGYvZwVVI5gEA8HEdLibzJy7TM79h+zFN+tNn2n04X5I0anBn9e165SH5gDe6b0RP+ZmkHftP6Whucb3fFxoc6LS8ZYsAh7Iys0WL30+XJI27tbu6x4ZLku4f2UvN/E1KzyjQ9xkFV994uMz3PxTos2+PSZJtdXrWDYErkcwDAODjrNvT5Z0pU1VVtcNx69Dh2lK3ZLFtFpqsmKhQJfePkVT/3nnDMOrsTZ/3zm4Vl1bYlb2Zul+F586rfWQLPXBHb1t5dESIbY79258edOmq+qi/8vMWvfLubhlGzWJ2bzw3Si9OTdbrz91+2TUSgIZEMg8AgI+LDAtWYIC/qqoNnSosdzh+tUOHgaZgwoiekqSv9+Rq047jV3x49fGWo9qx/5QCmvnp948O1otTk/WnKUMU3rK5MnOL9dyrW20J/b7MM/pka5YkafqE/moe4G93rokjeymgmZ/2ZZ5R2sXRMPAsb6zbp1OF5YpuHayUsTcwnB5uQTIPAICP8/MzKSaqZn7nCSfz5ls72a6ObbPQ1HXtEKYu7WvWhPi/d3dr0p82aMP2Y07rZp08pzfW7ZMk/fruGzQwrq3ie0Sqf89ovTg1WRGtmivr5DnNWrJFB48V6q8rvpNU06Ob0MNxxfw2YcEaPaSLJHrnPdHOg6f06Tc1sfCbnw9QSJDjNArAFUjmAQCAbd68sxXt92UW2r1mTih8QUGRWcfyztleG4a0cFWaQw99haVKf1nxnSwXqnVjn7a6e2hXu+Md27bUi9OGKqJVkI7nlei/5n+lguLzkmR7WODMfbf1VGCAvw4dO6vNO7OVnpHP1BYPUFpeqfnvpUmS7hnWzenDGMBV2JoOAABcdkX7Ty/2Rt4/spf694xiiyX4BGfTSwxDeuW9XZoxYYCiI0JUUGTWqx+k63heicJbNtdv7h8gk3UltFpiokL13w8P0jOLttiVv7Z2r4bEt3f676l1qyDdldxV//p3hub9c7ek+u1bj8ZTUGTW/727S4XnzismqoV+OaaPu5sEH0cyDwAAbIvgXZrMZ5woUkZ2kZr5++meYd0UFuo45B5oijpEhspkkkNCn3a4QI/N2aR+3dtoz+F8WQ/fkhijcCdTUqyqqh2HylvXnqjr4dhPB8bqX//OsL2uz771aBwbth/TwlVptnj4SUIHBQWSSsG9GGYPAAAUU8cw+w0X54UOiW9PIg+fEhkerOkTEuV3safdz2TSxBE9ldAjUheqqpVWK5GXpI++PnrZYfDWhwO1XWntiVJzpUMZi082jIIic72nLlh39Kj9YOf9zzOY9gC343ESAACwJfNnSypUft6ikKAAmSsu6N+7TkiS7hjMsF74nlFJnTUwLlonC8ps00sMw9AHmzO0/OP9dnWv1MtufTiwaNUeVRtGvdaeqGt0wK5Dp9Wna4SKSiqUW1CqDpGh9NRfhdq97FeaumAYht7+9ECdO3rwc4c7kcwDAAC1CA5QeMvmKiqpUE5+qXp2bK2v03Jkrrig9pEtFN890t1NBNwiMjzYLmEzmUy6dWCs3kzdb5fg1WeHB2cPB6702bUfAFit/vyINu/MVuG58/VKSPGjS3vZa6YupDmdumC5UKX5K9P0750nHM7Djh7wBCTzAABAUk3vfFFJhXJO1yTz1q2X7kjqLD8/x0W9AF91Lb3std97Nb25tR8AtGsTovSMAi1bs1dnLq6ILzGX/mocP1XipJddWvz+Hs2YmKjWLYNUUGTWkeyzWrnxiDJOFMnPz6RbEmP05e6cq/59A42JZB4AAEiSYqNDtS/zjE7kl+pobrEOHT8rfz+Tbrupo7ubBnicq+1lvx61HwCMuKmTQoKa6cXlO+zqMOy7fraln3RavmP/KT320kb17xml7fvybAl/YDM/zU5JUmKvaP3qrr4u+X0D9eVRC+B98cUX+sUvfqHBgwerX79+GjFihF566SWVlJRc8b2rVq3SHXfcofj4eI0dO1abN292QYsBAGg6OkT+uAiedeG7wf3aq3XLIHc2C/BYkeHBiu8R6fLErmfH1g6L6ZlMYtj3Few5nK/132RJku3n52cyafxPe6hnx3CZK6r0zd48u577C1XVio1uKcl9v2+gLh7VM19UVKSEhAQ9/PDDCg8P15EjR7RgwQIdOXJEb7zxRp3v+/jjjzV79mxNmTJFgwcPVmpqqqZPn663335biYmJrrsAAAC8WOzF7emO5harqKRCEgvfAZ6orrn0pwrLSTTrcK6sUn/75y5JNfe1n98eZ9fLXl1t6O31B7Vy02G791UbYsQDPJZHJfP33nuv3eukpCQFBgZq9uzZOnXqlNq2bev0ffPnz9ddd92lmTNnSpIGDx6sw4cPa9GiRVq2bFljNxsAgCbhx73ma7a9ahsRov49o9zZJAB1sA7zz80v1b+++EHfHTilOW/u0LwnbiXxvIRhGFq4Kk2F584rJipUj4ztp6Dmzex+Tn5+Jo3+SRet+vzwVS9sCLiLRw2zdyY8PFySZLFYnB7Pzs5WVlaWRo8ebVc+ZswYbdu2TZWVjvtzAgAAR20jQlR7nbtRLHwHeLTI8GAl9IzS/zx8o7q0b6Wi0gq9sPxbVViq3N00j7Jh+3Ft+/6kmvmb9PQvBimoufP+TOuIB7+LY/BZ6A6ezqN65q2qqqp04cIFZWRkaNGiRbrtttsUGxvrtG5mZqYkqWvXrnbl3bt3l8ViUXZ2trp3735N7TAMQ+Xl5df0XngGs9ls93/AFYg7uFpDxdznO3NUXXuVZ+MCfwfhFPc5z/PUAwma9ep2ZWQX6ZV/7tTPR3ZXXqFZ7duEqE1Y01j34mrj7kzxee3NLNRrH+6XJN0/soc6RARe9r42ND5KfToNVV5hudpF1PzsuA/6Lnfc6wzDkOnSRTHq4JHJ/PDhw3Xq1ClJ0rBhwzR37tw66xYXF0uSWrVqZVdufW09fi0sFosOHDhwze+H58jKynJ3E+CDiDu42vXEXHH5BS1dk2dXtuLTI4oMKlFYiEd+XYAH4D7nWcYNDtM/Nhfoqz0n9dWemlXbTZLuSWqtgd2bzlDx+sTdrh/KtG77WVmfT0a2aqbuEeX1/m7vJ+l0bs1/gKvvdYGBgfWq55F/nZcuXSqz2ayMjAwtWbJEU6ZM0d///nf5+/u7tB0BAQHq0aOHSz8TDctsNisrK0tdunRRcDBDpOAaxB1crSFibm9moQzZJ/OGIbWMiFGfrhEN0Uw0IdznPFOfPlK58YNWb860lRmSPvr2rO4c1s/re+jrG3dnis9r3T+/Uu2BRoUlF9QuppvX/wzgWu6412VkZNS7rkcm871795YkDRgwQPHx8br33nv12Wef6c4773SoGxYWJkkqKSlRVNSPi/ScO3fO7vi1MJlMCgkJueb3w3MEBwfzu4TLEXdwteuJuW6xJplMclj4qWtMG4WEkKzBOe5znicxrp1dMi/VrMheVFatju2bxu/qSnGXkVtmdy+Tmt7PAK7lyntdfYfYS16wAF5cXJwCAgJ0/Phxp8e7desm6ce581aZmZkKCAhQx44dG72NAAB4OxZ+ApqGmKhQhz3oJSm/yHfmfVdWVjuUsSo9miKP7Jmvbc+ePbJYLHUugNexY0d16dJF69ev18iRI23lqampGjJkSL3nGwAA4OusW13V3nsZgHepaw/6ef/crT1HCjTup911rqxSHSJDm+S/8bMl57VodZpdGQ8n0VR5VDI/ffp09evXT3FxcQoKCtLBgwf1+uuvKy4uzpaoz5o1S2vWrNH+/ftt75sxY4aefvppderUSUlJSUpNTVV6erpWrFjhrksBAMArRYYH84UX8HK1H8xFhDXX+m3HtPbLH/T5d9n6/LtsSZLJJE2fkKhRSZ3d3NqGY7lQrTlv7lBB8XnFRLXQrP93s4pLK3k4iSbLo5L5hIQEpaamaunSpTIMQzExMZowYYJSUlJsPezV1dWqqrLfO/Puu++W2WzWsmXLtHTpUnXt2lULFy7UgAED3HEZAAAAgFvVfjCXMrafbujWRi/8/VvbccOQFq1K08C46CaT6C5b8732Hy1USFAz/e+vk9SxbUt3NwloVB6VzD/66KN69NFHL1tnzpw5mjNnjkP5hAkTNGHChMZqGgAAAOC1QoIcv/ZXG9Lb6w9o6s/6KzDAtbtGNaSCIrPWfPGDPtmWJZNJevqhQSTy8AkelcwDAAAAaHgdIkMddqyQpI07srXvaKEeGxevzu1aKbeg1Kvm02/YfkwLV6XZrmtwv/a6qW879zYKcBGSeQAAAKCJu3RhPD+TSbcnddKO/Xk6WVCm3y37xlbXW+bTnyos18KVaXb7yW/fm6eCIrPXPIwArgfJPAAAAOADnO1YUX7eojfW7dOn3xyz1fOG+fRZJ89pzpvf6pKBBqo2DJ0sKPPYdgMNyeP3mQcAAADQMCLDgxXfI9KW7IYEBeiWATEO9aoNaeGqNOWdKVNBkVnpGfkqKDI71LvcsYZUUGTW3sxCFZZc0MpNGZr5t38rJ7/MoR77ycOX0DMPAAAA+LC65tPvPHhaj7600VZuMklTxydo+KCOqjYMbdxxXK+t3SvDaNyh+ZfOi7ca3K+d+nSN0JsfHbBNHWA/efgSknkAAADAhzmbTz9+eA8dOHpG+44W2uoZhrT4/XQtfj/d4Rw1Q/P3NPjQ/IIis9NEftrP+uvOIZ1lMpl0S2Ks3dQBwFeQzAMAAAA+ztl8+vSMfP3vkq31PkdjzFfPLSh1SOQlKTY6VCaTSVLNwwiSePgiknkAAAAADkmxs+H3fiZp8X/fJj8/kx6bs8kh0Y4Ia96gbdp9KN+hzM8k5sUDYgE8AAAAAE5Yh9/7XewBr5mTnqiY6JZqHxlqd8zqrdQDqq520pV+DVZ/fkSrPz8iSbJ+iskkTb63Lz3xgOiZBwAAAFAHZ8PvnR0rKa/UX1Z8p63pJ/X2pwf18Og+1/W5qz8/ojc/3i9JeujO3hp5UycdzTmjksIcDR7kuPo+4ItI5gEAAADU6XJz0msfmz4hUf/37m6t3HhYsdGhGj6o41V/VkGRWf/ccEgbttfse//Qnb3189vjJEkhgRE6cP7UNV4F0PSQzAMAAAC4biNu6qQTp0u1+vMjmv9empoH+is0OEAdIkPrNSx+w/ZjWrgyTdZB+kn92tkSeQCOSOYBAAAANIiHR/dRTn6ptn1/Ui8t3yGpfnvQ27agq1W2Y98pFRSZmR8P1IEF8AAAAAA0CD8/k341xn6+vHUP+oIic53vy8otdlgZ37rVHQDnSOYBAAAANJgz5847lF0pMf92v+NceD+TiS3ogMsgmQcAAADQYKz709dmusze8MdOnrMteGd9X802eP0ZYg9cBnPmAQAAADQY6/70i1btUfXFsfOtWgQqNDjAoW51taHF7+9RVbWhwf3a6bFxCU63wQPgiGQeAAAAQIOy7kGfmVOkBav2qKikQn//aJ+m/qy/Xb1NO45r/9FCBQX6a/J/xF92GzwA9hhmDwAAAKDBRYYH6+Yb2uupBwdKklK3ZmnnwR/nxheXVujvH+2XJD0wqreiW4e4pZ2AtyKZBwAAANBoEntF655h3SRJ89/brXNllZKkNz/er5LySnVp30pjb+nmziYCXolkHgAAAECj+tVdfRUbHarCcxWa984uffjlD/rs2+OSpKk/S1Azf9IS4GrxrwYAAABAo2oe4K+nHhwkk0n67uApLVu7V5LUt2uE+nZt4+bWAd6JZB4AAABAowtv2VwXF7e3OZhVqIIis3saBHg5knkAAAAAjS63oNShrNqQThaUuaE1gPcjmQcAAADQ6DpEhspksi/zM5nUPrKFexoEeDmSeQAAAACNLjI8WNMnJMrvYkbvZzLp8Qn92VceuEbN3N0AAAAAAL5hVFJnDYyL1smCMrWPbEEiD1wHknkAAAAALhMZHkwSDzQAhtkDAAAAAOBlSOYBAAAAAPAyJPMAAAAAAHgZknkAAAAAALwMyTwAAAAAAF6GZB4AAAAAAC9DMg8AAAAAgJchmQcAAAAAwMuQzAMAAAAA4GVI5gEAAAAA8DIk8wAAAAAAeBmSeQAAAAAAvAzJPAAAAAAAXoZkHgAAAAAAL0MyDwAAAACAlzEZhmG4uxGeaNeuXTIMQ4GBge5uCq6DYRiyWCwKCAiQyWRyd3PgI4g7uBoxB1cj5uAOxB1czR0xV1lZKZPJpIEDB16xbjMXtMcrcYNoGkwmEw9k4HLEHVyNmIOrEXNwB+IOruaOmDOZTPXORemZBwAAAADAyzBnHgAAAAAAL0MyDwAAAACAlyGZBwAAAADAy5DMAwAAAADgZUjmAQAAAADwMiTzAAAAAAB4GZJ5AAAAAAC8DMk8AAAAAABehmQeAAAAAAAvQzIPAAAAAICXIZkHAAAAAMDLkMwDAAAAAOBlSObhsT755BNNnTpVt9xyixITE3Xvvfdq9erVMgzDrt6qVat0xx13KD4+XmPHjtXmzZvtjldWVurll1/WQw89pMTERMXFxamwsNDpZ1ZXV2v58uW688471a9fPyUnJ+upp55qtGuE53FH3K1atUr33HOPEhMTdeutt+q5557TmTNnGu0a4VkaKubS09P17LPP6vbbb1f//v01atQozZ07V+Xl5Q6fuWvXLt1///1KSEjQ8OHDtXTpUofPQ9Pl6ph79913NWnSJCUnJ2vgwIGaOHGiNm7c2OjXCc/ijnudVV5engYMGHDZv8VoetwRc67OJZo12pmB67R8+XLFxMTomWeeUevWrbV161bNnj1beXl5mj59uiTp448/1uzZszVlyhQNHjxYqampmj59ut5++20lJiZKks6fP69Vq1YpPj5egwYN0tdff13nZz7//PPavHmzpk2bpp49eyo/P187d+50xeXCQ7g67tasWaPnnntOKSkpGjZsmHJzczVv3jxlZGTo3XffddVlw40aKuY++eQTHTt2TI888oi6dOmijIwMzZ8/X3v27NFbb71l+7xjx44pJSVFycnJmjlzpg4dOqS//vWv8vf3V0pKijt+BHAxV8fcq6++qqFDh+qBBx5QSEiI1q9fr8cff1xz5szRuHHj3PEjgBu4Ou5qmzNnjkJCQi6b8KPpcUfMuTyXMAAPdebMGYey5557zhg4cKBRVVVlGIZhjBo1ynjyySft6tx///3GI488YldWXV1tGIZhvP/++0avXr2cnnvr1q1G3759jYMHDzbUJcALuTruJk2aZPziF7+wK1u9erXRq1cvIzc397quBd6hoWLO2Xk+/PBDo1evXsb3339vK5s9e7YxfPhwo6KiwlY2d+5c48Ybb7QrQ9Pl6phzVu/Xv/61cffdd1/zNcD7uDrurLZu3WrcfPPNxuuvv17n32I0Ta6OOXfkEgyzh8eKiIhwKOvTp49KS0tVXl6u7OxsZWVlafTo0XZ1xowZo23btqmystJWZjKZrvh5K1eu1M0336y4uLjrbzy8lqvj7sKFCwoNDbUra9mypSQx7NlHNFTMOTtP3759JUmnT5+2lX355ZcaMWKEAgMD7c517tw57d69u0GuCZ7N1TFX1+fVroOmz9VxJ0kWi0V//OMfNWPGDIWHhzfQlcBbuDrm3JFLkMzDq+zcuVNt27ZVaGioMjMzJUldu3a1q9O9e3dZLBZlZ2df1bn37Nmjbt266YUXXtCNN96ohIQEpaSk6OjRow3Wfninxoy7++67T1999ZXWr1+v0tJSHTlyRK+++qqGDx+uDh06NNg1wLs0VMxZh/Z169ZNklReXq6TJ0/aXlt169ZNJpPJ9lnwPY0Vc5erd6U6aPoaO+7eeust+fv764EHHmjglsNbNWbMuSOXIJmH1/juu++UmpqqSZMmSZKKi4slSa1atbKrZ31tPV5f+fn5+uCDD5SWlqa//vWvmjt3rk6ePKmUlBRVVFQ0wBXAGzV23N1zzz16/vnn9fTTT2vQoEG6++67FRYWpnnz5jVA6+GNGirmCgsLtWDBAo0YMUJdunSRJJWUlDg9V2BgoIKDg686ftE0NGbMObNu3Trt3r2bNRp8XGPH3alTp7Ro0SLNmjVL/v7+jXAF8DaNHXPuyCVYAA9eIS8vT0888YSSkpL0y1/+slE+wzAMVVVVacmSJYqMjJRU82Turrvu0rp163Tfffc1yufCc7ki7jZs2KA5c+Zo6tSpuummm5Sbm6v58+dr5syZevXVV+s1VB9NR0PFnMVi0ZNPPilJ+t3vftdArUNT5OqYO3jwoH77299q/PjxGjly5DV/HrybK+Lu5ZdfVnJysoYMGXI9TUUT4YqYc0cuQTIPj3fu3DlNnjxZ4eHhWrBggfz8agaUhIWFSarpaYqKirKrX/t4fbVq1Urt2rWz/eOTaobOtGvXThkZGdd7GfAyrog7wzD029/+VhMnTtTjjz9uK+/YsaMefPBBbdmyRUOHDm2Iy4EXaKiYMwxDs2bNUnp6ut555x1FR0fbjlnXY7D20FtVVlbKbDZf9X0T3s0VMVdbTk6OJk+erISEBP3hD39ojEuCF3BF3O3evVuffvqpVq5caXu/2WyWJJWVlSk4OFjBwcGNd5HwKK6617kjlyCZh0c7f/68HnvsMZWUlOi9996zfRGVfpyjkpmZaTdfJTMzUwEBAerYseNVfVaPHj1UWlrq9BjD7H2Lq+KusLBQhYWF6t27t125dVGV48ePX89lwIs0ZMz9+c9/1ieffKJly5Y5xFZISIjat2/vMDf+6NGjMgyDOcw+xFUxZ1VYWKiUlBS1adNGCxcuVEBAQCNcFTydq+Lu6NGjslgsTrc+HDlypMaMGcN0Nh/hynudO3IJ5szDY124cEEzZ85UZmamXnvtNbVt29bueMeOHdWlSxetX7/erjw1NVVDhgyxW6m5PoYPH66MjAzl5+fbyn744Qfl5eXphhtuuPYLgVdxZdxFREQoODhY+/fvtyvft2+fJCkmJuYarwLepCFjbunSpVq+fLnmzJlT59DSW265RZs2bZLFYrE7V6tWrTRgwIAGvDJ4KlfHXFlZmSZPniyLxaKlS5c67OAB3+DKuBs2bJjeeustu/8mT54sSVq0aJHdaDg0Xa6+17kjl6BnHh7r97//vTZv3qxnnnlGpaWlSktLsx3r27evAgMDNWPGDD399NPq1KmTkpKSlJqaqvT0dK1YscLuXF988YXMZrP27t0rSdq8ebNatGihHj16qEePHpKkCRMm6B//+Icee+wxTZs2TRaLRa+88oo6deqku+66y2XXDfdyZdyZTCZNnDhR77zzjkJDQ21z5hcuXKiePXsyz89HNFTMrVu3TnPnztXYsWMVGxtrd55OnTrZttZJSUnRunXr9NRTT+mBBx7Q4cOH9frrr+uJJ5646oeg8E6ujrkZM2bo4MGDeuGFF5Sbm6vc3FxbvcTExMa+XHgIV8ZdVFSU3bBpqWaahyQNHDjQ6VZjaHpcfa9zRy5hMtjIGB7qtttus914L7Vp0ybFxsZKklatWqVly5YpNzdXXbt21ZNPPqnhw4fX61zTp0/XjBkzbK+zs7P1wgsvaPv27TKZTBo6dKhmzZqldu3aNeCVwZO5Ou4qKyv1xhtvaO3atcrNzVXr1q2VlJSkJ554grjzEQ0Vc88884z+9a9/OT3PSy+9pPHjx9te79q1S3PmzNGBAwcUERGhhx56SJMnT2bBRR/h6pi73J7Lhw4dutbLgJdxx72utg8++EDPPvustm3bRjLvI9wRc67OJUjmAQAAAADwMsyZBwAAAADAy5DMAwAAAADgZUjmAQAAAADwMiTzAAAAAAB4GZJ5AAAAAAC8DMk8AAAAAABehmQeAAAAAAAvQzIPAAAAAICXIZkHAAAAAMDLNHN3AwAAgOf44IMP9Oyzz9peBwYGKiwsTHFxcbr11ls1fvx4hYaGXvV5d+3apS1btuhXv/qVWrVq1ZBNBgDAJ5HMAwAAB//5n/+p2NhYXbhwQQUFBfr222/14osvavny5Vq8eLF69+59VefbvXu3Fi5cqHHjxpHMAwDQAEjmAQCAg1tuuUXx8fG214899pi2bdumKVOmaNq0aUpNTVVQUJAbWwgAgG9jzjwAAKiXIUOGaNq0acrJydGHH34oSTp48KCeeeYZjRgxQvHx8UpOTtazzz6rs2fP2t63YMECvfzyy5KkESNGKC4uTnFxcTpx4oStztq1azV+/HglJCTo5ptv1hNPPKGTJ0+69gIBAPAi9MwDAIB6u/fee/W3v/1NX3/9tSZOnKitW7cqOztb48ePV1RUlI4cOaKVK1cqIyNDK1eulMlk0u23366srCx99NFHevbZZ9W6dWtJUkREhCRpyZIleuWVVzR69Gjdd999Kiws1IoVK/TQQw9pzZo1DMsHAMAJknkAAFBv7dq1U8uWLZWdnS1JevDBBzVp0iS7OomJiXryySe1c+dO3Xjjjerdu7f69u2rjz76SCNHjlRsbKytbk5OjhYsWKCZM2dqypQptvJRo0Zp3Lhxeuedd+zKAQBADYbZAwCAqxISEqKysjJJsps3X1FRocLCQvXv31+StG/fviue67PPPlN1dbVGjx6twsJC23+RkZHq3Lmztm/f3jgXAQCAl6NnHgAAXJXy8nK1adNGklRUVKSFCxcqNTVVZ86csatXUlJyxXNlZWXJMAyNGjXK6fFmzfiqAgCAM/yFBAAA9ZaXl6eSkhJ16tRJkjRz5kzt3r1bKSkp6tOnj0JCQlRdXa1HHnlEhmFc8XzV1dUymUxatmyZ/P39HY6HhIQ0+DUAANAUkMwDAIB6W7t2rSRp6NChKi4u1rZt2zRjxgxNnz7dVicrK8vhfSaTyen5OnXqJMMwFBsbq65duzZKmwEAaIqYMw8AAOpl27ZtWrx4sWJjYzV27FinPemS9OabbzqUBQcHS3Icej9q1Cj5+/tr4cKFDj35hmHYbXEHAAB+RM88AABw8OWXXyozM1NVVVUqKCjQ9u3btWXLFnXo0EFLlixR8+bN1bx5c91000167bXXZLFY1LZtW23ZssVu/3irG264QZI0b948jRkzRgEBARo+fLg6deqkmTNnau7cucrJydHIkSPVokULnThxQhs3btTEiROVkpLi6ssHAMDjkcwDAAAH8+fPlyQFBAQoPDxcvXr10qxZszR+/HiFhoba6s2dO1d//OMf9c4778gwDCUnJ2vZsmUaNmyY3fkSEhL0m9/8Ru+++66++uorVVdXa9OmTQoJCdGjjz6qLl26aPny5Vq0aJGkmi3wkpOTddttt7nuogEA8CImoz6r0wAAAAAAAI/BnHkAAAAAALwMyTwAAAAAAF6GZB4AAAAAAC9DMg8AAAAAgJchmQcAAAAAwMuQzAMAAAAA4GVI5gEAAAAA8DIk8wAAAAAAeBmSeQAAAAAAvAzJPAAAAAAAXoZkHgAAAAAAL0MyDwAAAACAl/n/g7faokWqZyMAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "\n",
-    "def stats_descriptives(df):\n",
-    "    \"\"\"\n",
-    "    Calcule et affiche des statistiques descriptives simplifiées pour un dataset financier.\n",
-    "    - Numérique : AUM\n",
-    "    - Catégoriel : nombre de catégories uniques\n",
-    "    - Temporel : Centralisation Date\n",
-    "    - Graphiques : \n",
-    "        1. Évolution temporelle de l'AUM total\n",
-    "        2. Top Asset Type par AUM total (barres horizontales, warning corrigé)\n",
-    "    \"\"\"\n",
-    "    # Colonnes\n",
-    "    num_cols = ['Quantity - AUM', 'Value - AUM CCY', 'Value - AUM €']\n",
-    "    cat_cols = [\n",
-    "        'Agreement - Code', 'Company - Id', 'Company - Ultimate Parent Id',\n",
-    "        'Registrar Account - ID', 'Registrar Account - Region', 'RegistrarAccount - Country',\n",
-    "        'Product - Asset Type', 'Product - Strategy', 'Product - Legal Status',\n",
-    "        'Product - Is Dedie ?', 'Product - Fund', 'Product - Shareclass Type',\n",
-    "        'Product - Shareclass Currency', 'Product - Isin'\n",
-    "    ]\n",
-    "    date_col = 'Centralisation Date'\n",
-    "\n",
-    "    # Statistiques numériques\n",
-    "    print(\"STATISTIQUES NUMÉRIQUES\")\n",
-    "    print(df[num_cols].describe())\n",
-    "    print(\"\\nValeurs manquantes :\")\n",
-    "    print(df[num_cols].isna().sum())\n",
-    "    print(\"-\" * 50)\n",
-    "\n",
-    "    # Statistiques catégorielles\n",
-    "    print(\"STATISTIQUES CATÉGORIELLES\")\n",
-    "    for col in cat_cols:\n",
-    "        print(f\"{col} : {df[col].nunique()} catégories uniques\")\n",
-    "    print(\"-\" * 50)\n",
-    "\n",
-    "    # Statistiques temporelles\n",
-    "    df[date_col] = pd.to_datetime(df[date_col])\n",
-    "    print(\"STATISTIQUES TEMPORELLES\")\n",
-    "    print(f\"Date minimale : {df[date_col].min()}\")\n",
-    "    print(f\"Date maximale : {df[date_col].max()}\")\n",
-    "    print(f\"Nombre de dates distinctes : {df[date_col].nunique()}\")\n",
-    "    print(\"-\" * 50)\n",
-    "\n",
-    "    # Graphiques\n",
-    "    sns.set(style=\"whitegrid\")\n",
-    "\n",
-    "    # 1. Évolution temporelle de l'AUM total\n",
-    "    df_time = df.groupby(date_col)['Value - AUM €'].sum().reset_index()\n",
-    "    plt.figure(figsize=(12,6))\n",
-    "    plt.plot(df_time[date_col], df_time['Value - AUM €'], marker='.')\n",
-    "    plt.title(\"Évolution temporelle de l'AUM total (€)\")\n",
-    "    plt.xlabel(\"Date\")\n",
-    "    plt.ylabel(\"AUM total (€)\")\n",
-    "    plt.grid(True)\n",
-    "    plt.show()\n",
-    "\n",
-    "    # 2. Top Asset Type par AUM total (barres horizontales)\n",
-    "    # Préparer les données sous forme de DataFrame\n",
-    "    df_asset = df.groupby('Product - Asset Type')['Value - AUM €'].sum().sort_values(ascending=False).reset_index()\n",
-    "    df_asset.columns = [\"Asset Type\", \"AUM\"]\n",
-    "\n",
-    "    plt.figure(figsize=(6,4))\n",
-    "    sns.barplot(\n",
-    "    data=df_asset,\n",
-    "    y=\"Asset Type\",\n",
-    "    x=\"AUM\",\n",
-    "    hue=\"Asset Type\",       # nécessaire pour palette\n",
-    "    palette=\"viridis\",\n",
-    "    dodge=False,            # empêche la séparation des barres\n",
-    "    errorbar=None,\n",
-    "    legend=False            # supprime la légende générée par hue\n",
-    "    )\n",
-    "    plt.title(\" AUM total (€) selon Asset Type\")\n",
-    "    plt.xlabel(\"AUM total (€)\")\n",
-    "    plt.ylabel(\"Asset Type\")\n",
-    "    plt.show()\n",
-    "\n",
-    "stats_descriptives(df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "00cd5a78-87c4-4d25-8e38-2bfb15bb7eb4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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Vmw46hTSVERpi6FKpdaG+mU20etMhp1ffQgxDI25oreYugqWykMVdiOSuXJLiYiIsIU1cTIQmjs601NMlrZHu+u/PncMoQ+rUOk6bfrT2xPphT77T32VhVK1QQ/07J+rU2aJKB0U5B09r1oJNjmNSNvC5aUr5Zwr19893EEYBAGoUQicAgC08GQcGgL1OnL6gPUcuqFHTC4qMjHSadvxUoXYdOKWvNh7Q15vzLMuGGNKsfx+g8LBaGv/sMksPpecm9dPDL660lI+7NUOd2zT2qHdSGVchUkXl7rirx5Mw6qaezbX0m72WdT//9yzN+WCLCosuOea9/1eddHOvFMc8x08V6sCRszp+ulDrfziiddsOWcafKgueLGULLodRZwuK9WbZq4suellVl3Oop9eIqlxTuA4BQOAhdAIAXLPKfgL9Wl5ZAXD1wbzf/HKVJo7O1MBuSTpfWKLPvtmrtz/d7hSEZLRsqG05J1RqyhHIJDWOkuQ6rGmTHOuy/GrhkqcBUlW5qsfTMOqzdXstr+nVrROmcxdKHGWmKc1+f7PeXbZDCQ3r6uKlUu3Ye7JS29g4NkJHThY6lZlyH0ZdvFiqNs1jtX1Pvl5dtNWj3lF2hjXuwkxP61i6Nlcv/WNzpa8RVbmmVGUZwqjKI9ADUFWGaXraybpm2Lp1qyQpIyPDz1uCyiooKND27duVnp5u+ZUXqCralbPyN5clFy/p2+1HNH3et5Zf97u2baQN2UedykIMQ6899gvFxUTU6BtY2hWu5qpfijOk3w5JV/3IcM1+3zoekzuGIb3+2GBJctsL6fipQpfT3JUHG1f78fm6vZYwqlFMhB6fu7bS6zUk/WlCLx07WVipXlaS1Cg2QkfLhVFX0y+zqc4XXlTWjqOXx6CS1LtjE7VMjNGP+07pm+8PObanb2ZTtU+N04/7TmrFd/sdY1bdPjhNt/RuofqR4fri233XFPzcO7KjerZP0Ofr9v78+qCk9BYNVCs0RAePn9OJUxcs+5HcuL72HTlrKW+bEqvsXGuYVyc8RBeKSy3lCQ0jVbdOmHYfPG2Z1rZ5jLL3nrKUD+qepNPnirVh+xFbxvGS7A0B/Vl3Zc49tw9OU6fW8fp600F9/PUej4+hr6+BPNcB/kXo5AYnp+DDQxy8gXb1sytvOiWpWXw9HTtZoOKL1oeAiqQ2jVJ8TITWbz/iuIEd3i9VHVvHa8P2I/p0Ta7jBvaBUZ1003UpkqpXGEW7QkXKP+DdOSRdcdF19H9/z7KEu1Xx7H19lNEqzoY1VS/lw6jjpwotQVGIIT3yux7atf+UFiz/0bKOsmNb2WDLXRjVslm0Dp8o0Pkrelp5gyG5bFMJDSJ0ON8ahjWMqqMTZ6wBUnVgGNJr/+8Xio+t+JxcmVCmLHz57JtczX7/5x5eI65vpYxWcVr3/SF99s1ex7Xu/lGddHMlrnWe1F2+/I6b2iqzTbxWZR3U4lU5jsDy+i6JSm/RQGapqe25+VqZddDRJlKbRcuQXAZ6rlz5w1JFCJ2AmoXQyQ1OTsGHhzh4Q01tV+VvbDfuOKIn537jct76kWE6W+D8YGQY0tDeKfpkde41PySnJNRX7dq19OPek7bcoAeCmtqu4OzK9tkwuo6OnSrU5h+P6cUFmyq9DlevbYUY0gsP3aCI8Foa/+cvLGMxVeahEJe5CooG92zuJpC6+rGtbBjlrg7DkPp0bOpybK7WSdHaud8aDqQ0qa/cQ9YeRb4wamBrtU6O0fQ3vrXsx++HttO8j39wukYYhjRmUBst+OJHS/l//rab/vLWd5b1/PudXVVw4aJmL9xsWebXN7bRe8us6+rZPsHlFxiTGtXTfb/q5AgOr7x+XCi6qHc+y9air3Y71te1bSM1io3Up2tzLeuKqV9bp84WVfpYpTaLVt06tZy+onhrv1S1b9FQF4ovKWvHUX218YCj7g4tG6p+ZJjWbrXuR1RkmM4UeDewdHXtlyoXahM6ATULYzoBQDV3Tb+aSoqv4PWPyb/prIHdkrRs/T6XD00tmsU4ld8+uI3OFpToo1U5lnXFRdfR8dPWX9BzDzs/LJmmNHvhZi36arciatfSzv2nJF2+QR89sLUGdEtS3TphWrM1T6/807OxUABvKN/eTNPUP1bs0puf/PzAXTssVEUll9yuIy6mjo6Xe0UpxDA0fWI/bdxxVLMXbvppjCbpgdGZSmkSLcn1GEa0+cpzNzaUuy/nXe3YejL+VEVf51u9Jc8SeN07spPLAd8njenssvyVaYN0tqBYD72w0hLkTPhlhl75cKul/IFRmZr9/iZL76/nJvXTv89cZaljaJ8WbvdjcM/mqhcZ7rK8UYNIS3mfTs008adw6cryfpmJP22f4XJd8bHWdXVJa6R12w5bepjtP3pOj768WsmN62n/0XOO6Y1iI3TsVKFl/vKvkF/JXeDkrrdYTrneRKYpfbQyRx+ttF4vJen73Sfc1u0ucKobEabzhdZp7Vo0kGEY2pZjXeeI61P14cocy//bp8b3ctmumsTVdbtdAGomejq5QSIefOg5AG8IpnZVmW73D4zqpF4ZTXXsZIGWrd+nJav3OB56O7aKU/26YVq9+ZBl3SGGVP6L6eV/1a/sODDuegj8zx9dfSFLGt6/pT78avc1Hx/DkKb8potOnyvS6x9v82sYFUztCpVXmRA3pWmUTpy+oDPniy3LhxhS0/h6OnD0XLnyy//WLodL1odqSdp/KF/rsrarZ+d0JTVpYNmu6jAWUyDyxbH1pHeUp+VXX5dzmFnVOio6VnaVe7pM+e39w7B2OpxfoE/X7LFc7yrSLb2xvtt+xKnMMKQ/jsnUiwvKB3Tur3W39Gmhj7/eY1l/cuP6Cg8L0a4D1l5sN3Rupq+ueB2urO4pv+ms59/NqmTdl88vktz23nN37rna/3N36OkE1CyETm5wcgo+PMTBGwKxXVUmXLqtf0s1iKqj1xdvs6XOR3/fXWcLSqp0c+mKJw8trsY8CTGkETe01D9WWMOoOmEhulDi2ThTg7ol6cz5Yn13xaCy3hxPKhDblT/589Po3hpot3dGU128VKp126yvvrjzX/dcp85pjSt8kHP3UE2bqnl8Eda4CzOry2Dzrrb3Xxv2a8b8jZZ57x1h7f1V1VCm8tc6+wOhqgSQ7o5VReUVIXQCahZCJzc4OQUfbrjhDf5sV5V5sL2uQxPVCjW0apN1fI+K1K0T5nKA2v6ZTbVqU57Tr6blvzhn1wPFtfwifbUb9NJSU3c/u8zyKkRs/do66cEYGz3aJSiidqhWbjrosmdU2fZ6GkgF0/nK24GQq954fTo21Ser9+idz7Id5WNvaqshvVuoXkSY269tLf0mVy+9b/0se2XrvtpXuy4UXdRHq3L09tLtjp5LGa3iVKtWiDZW8JpNeXfclOb4yleZyvYcdCeY2hSCR01sVxWN11VRb0M7QkBfBUJVCSDtROgE1CyETm5wcgo+NfHGCN7nr3ZV/qF3ULdkXbxUqn9tPFDpdaQk1LeMhxRiSHMeGaSwWqFVuqn2Jztu0F0FVRUNKuvOnTe3VbsWDZVz8LReW/y9R6/qHT9VqJwDJ3Tu5EFd1zXDqV3Z9dlrbwVCE0dnalD3ZH28Ksdpv+++rYOG9klVaIhR6SDn9sFpiooM15x/bq30cZcuL+vqziU0RLrkooPbjT2SdaHoomMMHENSr4wmiq5X2+Xgv5lt4rXpx2OW8og6tVR44aJH29ov8/KAz774d8Y1EN5QU9tVVQIeu/g7EPIFQiegZiF0coOTk70POb5QU2+M4F12tavK/rspLLqo77Yf1nNvbaj0uvt0aqI1mw+57J1U0YOtP2+q7eTpDbonYZS7r0RV5IauiTpXUKINZa/qSRrYLUkZreK0bc8JfbFun+P/1Q1dmqpDy0YqLS3VtpwTjk9VG5KG9E7RdR2aaOuu43p/xU5HWDNhRIZu6d1Cy9Y79/b5/bB26tgqXl9+t18fX/E57D6dmqp1UqwkUzv2ntTarT+3les6JCi1WYx27z+pdT/8PCZJuxYNFFU33KMgTpIi69RSgYtgpmWz6Ep/cjsY3dg9Scu/229bz4iq4BoIb6jJ7SqYroPBhtAJqFkIndwI9JOTt3/19vSVA3fllanfLjX5xgjeU9F4FlXtLfKHYe3Vo32CVmzYf/mz0D+dheOiI5R/ptDtAKbd0xvru+wjtj7Y1tSb6msKoyR1ah2vvYfPePSqHqyaxEXq0PECp7IQQ3r2/j6a9tJqS1uf88ggnSu0fm0rxJCm/b6Hnp233hIcdk9vrPVXBGplurZtZPnylGFIt/ZN1eKfQrsry5+e0Eux9eto4l9X+DVccodrILyBdgVvIHQCahZCJzcC+eTkafDz2Te5mn3FGBd3DklX9/TGKi65pNVb8vThV7sdN9AZLRsqLCzU5dgU7n6pbpsSq+zck05lhqTb+qcqIa6e9h46o6Xf5Hr8+kl1HiMF/uFpe7vW8HVA1ySFhhpatm6fR9sZG1VHJ89YP40eCA+21Z0nr/C5GvfDMC6/urVmi/ULgM3i6+rgsfOW8rbNYxUSYuiHPfmWaZ6OQRVRO1SFRZcs5Zlt4mTIUJaL18bSkmO1Y99JS/mAron614YD5XrQSU+Mu05/eu0bS/Dyv5P76/yFEj02Z43lmNx5U1u9vTTbo954Vf/aVuXH/rKzbsm//wa5BsIbaFfwBkInoGYhdHIjUE9Orh5yJCmmfm2dcvFgUjssREUefsXJF9o2j5VhGNqee/khy5A0rF+q+nZqqs07jzkGWPXkc+YVfS4a18bfr066cy29je4b2Uld0xtp6dpcvf/lTsdYLz07JCipcX2dPFukL9ZbwyJXPTMkqV6dMJ1zMTC3O2GhhkouWU+///nbbuqb2SxgH2xrKnfH3JOQw91nsl97bLAk118mcvd56yfG9XQZ/FTlc9gVLePtQOhavopk1+C8gTrQrqcIB+ANtCt4A6ETULMQOrkRqCenLbuO6f+9vOa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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "# S'assurer que la colonne date est en datetime\n",
-    "df['Centralisation Date'] = pd.to_datetime(df['Centralisation Date'])\n",
-    "\n",
-    "# Agréger les AUM par date et par Asset Type\n",
-    "df_time_asset = df.groupby(['Centralisation Date', 'Product - Asset Type'])['Value - AUM €'].sum().reset_index()\n",
-    "\n",
-    "# Pivot pour avoir les Asset Types en colonnes\n",
-    "df_pivot = df_time_asset.pivot(index='Centralisation Date', columns='Product - Asset Type', values='Value - AUM €').fillna(0)\n",
-    "\n",
-    "# Tracer\n",
-    "plt.figure(figsize=(12,6))\n",
-    "for col in df_pivot.columns:\n",
-    "    plt.plot(df_pivot.index, df_pivot[col], marker='.', linestyle='-', label=col)\n",
-    "\n",
-    "plt.title(\"Évolution temporelle de l'AUM total par type d'actif (€)\")\n",
-    "plt.xlabel(\"Date\")\n",
-    "plt.ylabel(\"AUM total (€)\")\n",
-    "plt.legend(title=\"Asset Type\", bbox_to_anchor=(1.05, 1), loc='upper left')\n",
-    "plt.grid(True)\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "941a8bb6-e3d7-4ddf-a168-db16799f7f16",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Dédupliquer les comptes\n",
-    "df_unique_accounts = df.drop_duplicates(subset=['Registrar Account - ID'])\n",
-    "\n",
-    "# Compter les comptes par région\n",
-    "df_region = df_unique_accounts['Registrar Account - Region'].value_counts().reset_index()\n",
-    "df_region.columns = ['Region', 'Count']\n",
-    "\n",
-    "# Graphique avec hue pour supprimer le warning\n",
-    "plt.figure(figsize=(8,4))\n",
-    "sns.barplot(\n",
-    "    x='Region',\n",
-    "    y='Count',\n",
-    "    data=df_region,\n",
-    "    hue='Region',      # nécessaire pour palette\n",
-    "    dodge=False,       # empêche la séparation des barres\n",
-    "    palette='Set3',\n",
-    "    legend=False       # supprime la légende générée automatiquement\n",
-    ")\n",
-    "plt.title(\"Répartition des comptes par région\")\n",
-    "plt.ylabel(\"Nombre de comptes\")\n",
-    "plt.xlabel(\"Région\")\n",
-    "plt.xticks(rotation=45)\n",
-    "plt.show()\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 169,
-   "id": "67b8ed15-a45d-4908-9bcf-a990323cd058",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Nombre de ruptures détectées : 548\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>old_account</th>\n",
-       "      <th>new_account</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>718444.2870</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2016-06-30</td>\n",
-       "      <td>402699</td>\n",
-       "      <td>200038850</td>\n",
-       "      <td>223734.2979</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2015-07-31</td>\n",
-       "      <td>402703</td>\n",
-       "      <td>200013353</td>\n",
-       "      <td>88886.7529</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>404813</td>\n",
-       "      <td>200127636</td>\n",
-       "      <td>160820.3092</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>406311</td>\n",
-       "      <td>200001401</td>\n",
-       "      <td>63268.8208</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        date old_account new_account        value\n",
-       "0 2019-12-31      406533   200127202  718444.2870\n",
-       "3 2016-06-30      402699   200038850  223734.2979\n",
-       "4 2015-07-31      402703   200013353   88886.7529\n",
-       "5 2019-12-31      404813   200127636  160820.3092\n",
-       "7 2015-03-31      406311   200001401   63268.8208"
-      ]
-     },
-     "execution_count": 169,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "# Colonnes clés pour identifier les comptes\n",
-    "key_cols = [\n",
-    "    'Agreement - Code',\n",
-    "    'Company - Id',\n",
-    "    'Company - Ultimate Parent Id',\n",
-    "    'Registrar Account - Region',\n",
-    "    'RegistrarAccount - Country',\n",
-    "    'Registrar Account - ID'\n",
-    "]\n",
-    "\n",
-    "# Travailler sur une copie pour ne pas modifier df\n",
-    "df_temp = df.copy()\n",
-    "\n",
-    "# S'assurer que la colonne date est bien datetime\n",
-    "df_temp['Centralisation Date'] = pd.to_datetime(df_temp['Centralisation Date'])\n",
-    "\n",
-    "# Dates exactes présentes dans le dataset, triées\n",
-    "full_dates = pd.Series(df_temp['Centralisation Date'].unique()).sort_values().reset_index(drop=True)\n",
-    "\n",
-    "# Créer toutes les combinaisons compte × date\n",
-    "accounts = df_temp[key_cols].drop_duplicates()\n",
-    "full_index = accounts.merge(pd.DataFrame({'Centralisation Date': full_dates}), how='cross')\n",
-    "\n",
-    "# Agréger les AUM existants\n",
-    "agg_cols = key_cols + ['Centralisation Date']\n",
-    "df_agg = df_temp.groupby(agg_cols)['Value - AUM €'].sum().reset_index()\n",
-    "\n",
-    "# Merge avec toutes les combinaisons pour compléter les dates manquantes\n",
-    "df_full = pd.merge(full_index, df_agg, on=agg_cols, how='left')\n",
-    "\n",
-    "# Remplir les dates manquantes par 0\n",
-    "df_full['Value - AUM €'] = df_full['Value - AUM €'].fillna(0)\n",
-    "\n",
-    "# Trier pour le calcul des variations\n",
-    "df_full = df_full.sort_values(key_cols + ['Centralisation Date'])\n",
-    "\n",
-    "# Calculer les variations d'AUM et la valeur précédente par combinaison unique\n",
-    "df_full['AUM_diff'] = df_full.groupby(key_cols)['Value - AUM €'].diff().fillna(0)\n",
-    "df_full['prev_value'] = df_full.groupby(key_cols)['Value - AUM €'].shift(1).fillna(0)\n",
-    "\n",
-    "# Comptes qui perdent tout leur AUM\n",
-    "df_zero = df_full[(df_full['AUM_diff'] < 0) & (df_full['Value - AUM €'] == 0)].copy()\n",
-    "\n",
-    "# Comptes qui partent de 0 à un montant positif\n",
-    "df_from_zero = df_full[(df_full['AUM_diff'] > 0) & (df_full['prev_value'] == 0)].copy()\n",
-    "\n",
-    "# Colonnes pour le merge (sans ID)\n",
-    "merge_cols = [\n",
-    "    'Centralisation Date',\n",
-    "    'Agreement - Code',\n",
-    "    'Company - Id',\n",
-    "    'Company - Ultimate Parent Id',\n",
-    "    'Registrar Account - Region',\n",
-    "    'RegistrarAccount - Country'\n",
-    "]\n",
-    "\n",
-    "# Merge pour détecter les ruptures\n",
-    "ruptures = pd.merge(df_zero, df_from_zero, on=merge_cols, suffixes=('_old','_new'))\n",
-    "\n",
-    "# Filtrer selon une tolérance relative epsilon\n",
-    "epsilon = 0.05  # 5%\n",
-    "ruptures['diff_rel'] = abs(ruptures['AUM_diff_old'] + ruptures['AUM_diff_new']) / (\n",
-    "    (abs(ruptures['AUM_diff_old']) + abs(ruptures['AUM_diff_new'])) / 2\n",
-    ")\n",
-    "ruptures = ruptures[ruptures['diff_rel'] <= epsilon]\n",
-    "ruptures = ruptures.drop(columns=['diff_rel'])\n",
-    "\n",
-    "# Colonnes finales\n",
-    "ruptures_df = ruptures[['Centralisation Date','Registrar Account - ID_old','Registrar Account - ID_new','AUM_diff_new']]\n",
-    "ruptures_df.columns = ['date','old_account','new_account','value']\n",
-    "\n",
-    "print(f\"Nombre de ruptures détectées : {len(ruptures_df)}\")\n",
-    "ruptures_df.head()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 204,
-   "id": "2724a26d-f29d-43ec-bb7d-06b9dc88ac1a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from function import evolution_2_comptes\n",
-    "\n",
-    "def comparaison(i):\n",
-    "    evolution_2_comptes(df, ruptures_df.iloc[i,1],ruptures_df.iloc[i,2])\n",
-    "\n",
-    "def rupture(compte_id, ruptures_df):\n",
-    "    \"\"\"\n",
-    "    Vérifie si un compte est impliqué dans une rupture.\n",
-    "    \n",
-    "    Args:\n",
-    "        compte_id (int ou str) : l'ID du compte à tester\n",
-    "        ruptures_df (DataFrame) : dataframe des ruptures avec colonnes 'old_account' et 'new_account'\n",
-    "        \n",
-    "    Returns:\n",
-    "        tuple : (dans_old, dans_new)\n",
-    "            - dans_old : True si le compte est dans old_account\n",
-    "            - dans_new : True si le compte est dans new_account\n",
-    "    \"\"\"\n",
-    "    dans_old = compte_id in ruptures_df['old_account'].values\n",
-    "    dans_new = compte_id in ruptures_df['new_account'].values\n",
-    "    return (dans_old, dans_new)\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 294,
-   "id": "af25eded-dc47-483f-89c1-de183c97fbe7",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "comparaison(29)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 206,
-   "id": "a679b018-e36c-4c7b-8c77-fdf81626aaa7",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from function import evolution_3_comptes\n",
-    "\n",
-    "evolution_3_comptes(df, '403998', '200082287', '200127867')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 239,
-   "id": "28967118-6601-4c14-a0cb-0a2b0cc06cd8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_3_comptes(df, '200000491', '200089970', '200127376')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 254,
-   "id": "9a507b4c-7fca-4832-9fb0-86c14445911e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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WFy9eNLvWxYsXMRqNd81AK4n3jBBCCHEr6QElhBBClDKtVsujjz7Kn3/+yerVq8nOzjYrvwPo3LkzN27cMOsVlZ2dzeLFi3FycqJVq1b5nr9WrVokJydz6tQpddv169fZuHGjxVgnJyerwarbtW/fHp1Ox+LFi82yMn7++WeSk5PvurJdQXXu3BnIXQL+Vt9//73ZYxsbG3r27Mn69es5c+aMxXluXYkwPj7ebJ+dnR316tVDURQMBkO+c1m9ejU1a9bk2Wef5dFHHzX7M2jQIJycnMyWpe/cuTPXrl1j06ZNZufJyspi5cqVeHl50ahRo3yvV6tWLd59913GjRtHYGBgvuPu5ODBg2ofH4CoqCg2b95Mhw4dsLGxwcbGhg4dOrB582azkq2YmBjCwsJo0aKF2tzeVAZ5a7+xtLQ0fvvtt3ua260cHR1JTk4u8PjGjRvj5eXFsmXLyMrKUrdv27aNiIiIO64WmJCQYLHNFFC69Vy36969O1qtljlz5lj0jjK9B0rqfXGrJUuWmD02NY03vXfA+vu6JN4zQgghxK0kA0oIIYQoRtu3b7fI1gFo3ry5WdZCr169WLx4MV999RUNGjSw6DMzYMAAli9fzjvvvMPx48epUaMG69ev58CBA7z77rt3XAGvd+/eTJs2jREjRhASEkJGRgZLly6lbt26ZsEJgIceeoi///6bb7/9lipVquDn52fWDNnE09OToUOHMnv2bF577TWCg4OJjIzkp59+okmTJupKfferYcOG9OnTh59++onk5GSaNWvG7t27rWb2jBs3jj179vDMM8/Qv39/6tevT2JiIsePH+fvv//mn3/+AWDQoEF4e3vTvHlzvLy8OH/+PD/++CNdunTJ93WMjo5mz549Fs3QTezs7OjUqRPr1q1j4sSJ6HQ6BgwYwKpVq3jzzTd5+umnadiwIQkJCYSHh3P27Fk+/fTTu65qd3uz9cJq0KABgwYNIiQkBDs7O5YuXQrAyJEj1TGjR49m165dPPfcczz33HPY2NiwfPlysrKyeOutt9RxHTp0oHr16rz33nucP38eGxsbVq1ahYeHx31nQT300EOEh4fzySef0KRJE5ycnAgODs53vE6nY/z48UyYMIEXXniBxx57jNjYWH744Qdq1KhhdfVJkzlz5rBv3z66dOlCjRo1iI2N5aeffqJatWp37GlUu3Zthg0bxtdff81zzz1Hjx491BUtq1Spwrhx40rsfXGry5cvM2zYMDp16sShQ4dYvXo1ffr0MSvhze99XZzvGSGEEOJ2EoASQgghilF+y5Z/8sknZgGo5s2b4+vrS1RUlEX2E+T2rVm8eDHTpk3j119/JSUlhbp16/LJJ59YLMt+Ow8PD2bPns3UqVP5/PPP8fPzY+zYsVy8eNEiAPXOO+8wadIkZs6cSUZGBv/5z3+sBqAgN4jh6enJjz/+yCeffIKbmxvPPPMMY8eORafT3e2lKbCPP/4YDw8P1qxZw+bNm2nTpg0LFiywyCbx9vZm5cqVzJkzh40bN7J06VLc3d2pX78+48ePV8cNGDCANWvW8O2335KWlka1atUICQnhjTfeyHcO4eHhGI1GunXrlu+Ybt26sX79erZv387DDz+Mg4MDP/74I3PmzGHTpk388ssv2Nvb89BDD7FgwQKzDJXi0qpVK5o2bcqcOXO4evUq9evX55NPPjELTjzwwAMsWbKE6dOnM3/+fBRFITAwkM8//9zsa6/T6Zg9ezZTpkzhyy+/xMfHh5deegm9Xs+ECRPua57PPfccJ0+e5JdffuG7776jRo0adwxAATz11FM4ODiwcOFCpk2bhpOTE927d+ett94yKxG8XXBwMFeuXGHVqlXEx8fj4eFB69atGTlypNrsOz9vvvkmfn5+/Pjjj8yYMQNHR0cCAgLMVngsqfeFycyZM/nyyy+ZPn06tra2vPDCC/zf//2f2Zj83tfF+Z4RQgghbqdRCtLNUAghhBBClCsBAQE8//zzTJo0qbSnIorBrFmzmD17Nn///bfaz0sIIYQoy6QHlBBCCCGEEEIIIYQoVhKAEkIIIYQQQgghhBDFSgJQQgghhBBCCCGEEKJYSQ8oIYQQQgghhBBCCFGsJANKCCGEEEIIIYQQQhQrCUAJIYQQQgghhBBCiGIlASghhBBCCCGEEEIIUaxsS3sCFc3BgwdRFAWdTlfaUxFCCCGEEEIIIYQoNgaDAY1GQ7Nmze46VjKgipiiKEhfd3E7RVHIysqSe0NUWHKPi4pM7m9Rkcn9LSoyub9FRVZW7u/CxEAkA6qImTKfmjRpUsozEWVJWloaJ0+epH79+jg5OZX2dIQocnKPi4pM7m9Rkcn9LSoyub9FRVZW7u+jR48WeKxkQAkhhBBCCCGEEEKIYiUBKCGEEEIIIYQQQghRrCQAJYQQQgghhBBCCCGKlQSghBBCCCGEEEIIIUSxkibkpSgnJweDwVDa0xAlIDMzU/1bq5W4772wsbFRm/wLIYQQQgghhChfJABVChRF4dq1ayQmJpb6komiZBiNRmxtbbl69aoEoO6Dvb093t7e6PX60p6KEEIIIYQQQohCkABUKUhMTCQhIQEfHx+cnZ3RaDSlPSVRzHJycsjMzMTe3h4bG5vSnk65oygKBoOBxMRErly5AiBBKCGEEEIIIYQoRyQAVcIUReH69evo9Xq8vb1LezqihOTk5ADg4OAgAah75OjoiKurK5cvXyYmJkYCUEIIIYQQQghRjkgtUAnLyckhJydHPjwLcQ80Gg1ubm5kZmZK/zQhhBBCCCGEKEckAFXCsrOzAbC1leQzIe6FqRG5KatMCCGEEEIIIUTZJwGoUiJ9n4S4N/LeEUIIIYQQQojyRwJQQgghhBBCCCGEEKJYSQBKFIknnniCgIAA9u3bV9pTKTLfffcd27ZtK/RxmzZtIiAggD59+phtNxgMTJs2jeeff56mTZsSEBBAXFyc1XOsXLmSxx9/nKZNm9KlSxcmTpxIbGys2Zjk5GTef/992rRpQ1BQECEhIZw8edLiXGfOnGHo0KG0bduWli1b8vzzz7N7926zMUePHmXChAn06tWLBx98kKFDhxb6eQshhBBCCCGEEPmRAJS4b2fPnuX06dMArFmzppRnU3R++OGHQgegMjIy+Pjjj62ucJiRkcHPP/+Mvb09LVq0yPccv/32GxMnTqRTp07MnTuXUaNGsXXrVoYPH242buzYsWzatIm33nqLL7/8EhsbG1566SWioqLUMXFxcbz88sskJCTwv//9jy+++AInJycGDx6sfs0ADhw4wL59+2jUqBHVq1cv1HMWQgghhBBCCCHuRjphi/u2Zs0atFotrVq1Yt26dUycOFFtFF3ZzJ8/n+rVq+Pn58exY8fM9rm6uvL3339ja2vLL7/8wo4dO6yeY82aNbRu3Zr/+7//M9v+7rvvEhUVha+vL4cOHWL79u3MnTuX4OBgANq0acPDDz9MaGgoEydOBODvv/8mNjaWFStW4OfnB0Dr1q1p3bq1mqkFEBISwksvvaT+WwghhBBCCCGEKEqSAVUBxCSkc+TcDWIS0kv82oqiEBYWRtu2bXnllVdISEjgr7/+shgXERHBiBEjaN26NUFBQTzxxBOEhYWp+41GI99++y29evWicePGdOjQgVGjRpGcnKyO2bt3LwMHDiQwMJA2bdowYcIEEhIS1P179uwhICCAo0ePml37jTfeMAuqzJo1i2bNmnH69GmeffZZgoKC6NOnj9m8g4ODuXLlCkuWLCEgIICAgAB++eWXO74Wly5d4ttvv1WDP9YUpIF2dnY2Li4uZttcXV2B3Ncb4MSJE2g0Gjp06KCOcXR0pGXLlvz555/qNoPBYHY8gL29PTqdTj0XgFYr3wqEEEIIIYQQQhQfyYAqIxRFITOr8MvKb953ifm/HkVRQKOBof9pwsMtaxX6PPZ2Nve0utiBAwe4cuUKw4cPp2PHjri7uxMWFqZm5QBcuHCBAQMG4Ovry3vvvYePjw9nzpzh6tWr6pj//ve/LF++nJdeeokOHTqQmprK1q1bSUtLw9XVlWPHjvHKK6/Qpk0bvvzyS2JiYpg+fTrnzp1j2bJl2NjYFGreBoOB8ePH8+KLL/LGG2+wcOFCRo0axZYtW/Dw8GD27NkMGTKE5s2b8+qrrwJQq9adX9f//e9/9O3blwcffLBQc7ldv379mDBhAuvWraNjx45ERUUxb948unXrppbHZWVlodVqLZ63TqfjypUrZGRk4ODgQLdu3fD29mbq1KmMGTMGW1tbvvnmGzQaDX379r2veQohhBBCCCGEEAUlAagyQFEU3p69g5MXrDekLvh5YN4vR5n3y9G7D75NwzqefDqiY6GDUGFhYdjb29OjRw90Oh09e/Zk9erVpKam4uzsDORmHOl0OpYuXapm9rRv3149R2RkJEuXLmXMmDFmza979uyp/nvevHn4+Pgwb948tbzP19eXQYMGsW3bNrOAV0GYAlBdunQBoG7dujz88MNs376dvn370qhRI+zs7PD29qZp06Z3Pd+WLVs4ePAg69atK9Q8rHn88cdJT09n/PjxagZT+/btmTFjhjqmdu3a5OTkcOLECQIDA4HcLLJjx46hKApJSUk4ODjg5ubGkiVLGDp0KJ06dQLA3d2dhQsXUrNmzfueqxBCCCGEEKLiiE2LJyr5Or6uVfBy8ijt6YgKRupuxD3Lzs5m3bp1dOnSRS3xMgVPNm7cqI7bvXs3PXv2tCgru3W/oij069cv32vt27ePhx9+2Ky3VMeOHdHr9ezfv7/Qc9dqtbRr10597Ofnh4ODA9HR0YU+V2ZmJh9//DEjR47E09Oz0MffbsOGDUydOpXXX3+dxYsX8+mnn3Lx4kVGjx6tls116NCBWrVq8cEHH3DmzBliY2P59NNP+ffff4GbpX6xsbGMGDGCWrVqsWDBAkJDQ2nTpg2vv/46ERER9z1XIYQQQgghRPkRmxbPsejTxKbFW+zbHLGDN9a8x4dbZ/LGmvfYcn5nKcxQVGSSAVUGaDQaPh3RsdAleLGJ6bz+2RZuaeWDVqPh6//rhpebY6HOdS8leDt37iQuLo5u3bqRlJQEQIMGDfDx8SEsLIwnn3wSgISEBKpUqZLveRISErC1tcXLyyvfMUlJSVb3e3l5kZiYWKh5Azg4OGBnZ2e2TafTkZmZWehzff/992i1Wh577DH1dTAYDBiNRjUTqaAlgoqi8MEHH/DMM8+YrXpXs2ZNnnvuOXbu3EnHjh2xs7NjxowZjBs3jscffxzIfe1feuklFi9ejLu7OwCLFi0iMTGRX375RX2+7dq147HHHuPrr79m+vTphX6+QgghhBBCiPJnU8QOFu77CYXcD5CBVRviYu9MfHoiMamx3Ei7WZGjoLBg308EVWskmVCiyJSpANS2bdtYuHAh586dIyUlhapVq9K9e3dGjBihZti88847/PrrrxbHLly4kM6dO6uPs7KymDFjhloO1qxZM95//338/f3NjouIiOCjjz7i4MGDODs707dvX0aPHm0RnChuGo0GB/vCfTlqVHFlRP+mzFl5GKOioNVoGN4/iBpVXO9+cBFYs2YNABMmTGDChAlm++Lj44mNjcXLywt3d3euX7+e73nc3d3Jzs5Wx1vj5uZGbGysxfbY2Fjc3NyA3ObacLPxtklSUtI99bcqqPPnz3Px4kWzjCqTVq1aMXnyZJ555pkCnSsuLo64uDiLPlKNGjUCchudmzRu3Jh169Zx8eJFFEWhTp06fPjhhzz00ENqpti5c+fw9/c3u59tbGwICAgwO5cQQgghhBCiYkrMSCL89J/8esq8XciR6JN3PM6oGLmWckMCUKLIlKkAVEJCAoGBgYSEhODu7s7Zs2eZNWsWZ8+e5ZtvvlHH1axZk2nTppkdW69ePbPHH330EeHh4bzzzjtUrVqVefPm8fLLL7N27Vo1mJWYmMhLL71EnTp1mDVrFtHR0UydOpWMjAwmTZpU/E+4CPRoU5vmAVWIiknF19sZb/fCZT7dq/T0dDZv3kz37t158cUXzfbFxMQwduxYwsPDCQkJoV27dqxfv57x48dbLcNr27YtGo2GVatWMWTIEKvXa9GiBZs3b+add97B1jb3tt25cydJSUm0aNECgGrVqgG5QcXmzZsDuQGd48eP07hx40I/x4JmRA0ePJj//Oc/ZtsWLFhAZGQkn3zyCXXq1CnwNT09PXF0dOTEiRNqBhnA8ePHAahRo4bZeI1Go54/Li6O8PBw3nrrLXV/9erV2bx5M5mZmWqALicnh1OnTtGwYcMCz0sIIYQQQghR9pl6OFVz8eFayg02RfzFniuHyDFar7bpUa8zjao8gFaj5YtdC832aTVaqrn4lMS0RSVRpgJQt6/K1aZNG+zs7Hj//feJjo6matWqQG751J0aQ1+7do2ff/6ZDz74QO0r1KRJE7p168ayZcsYPHgwAMuWLSM1NZXZs2erJUs5OTlMmTKFoUOHqtcr67zdHUss8GSyefNm0tLSCAkJoU2bNhb7Fy1aRFhYGCEhIYwYMYKtW7fy3HPP8dprr+Hj40NERATp6ekMHjyYunXrMnDgQL788ksSExNp164dGRkZbN26lZEjR1K1alWGDRvGwIEDGTp0KCEhIeoqeIGBgWoj8WrVqhEUFMScOXNwdXXF1taWhQsXqgHHwvL392f37t3s3LkTvV6Pn58fHh6W0f969epZBEB//fVXoqOj1dcmJyf3G/727dvJzMzk2LFjAPz55584OztTv3596tevj0aj4ZlnnuGnn37CxcWFVq1acfXqVWbPns0DDzxglmU1d+5cateujZeXF5GRkcyfP5/GjRvz1FNPqWP69+/Pzz//zBtvvMHzzz+PjY0Ny5cv5+LFi3z00UfquLi4OP755x/136mpqWpD9S5duuDoWLL3lxBCCCGEEKJwtpzfyfy9S9QSu1vVdq/BpYQrZnu0Gi3/afSomuHUvlZLdl3ap+4b0vI5yX4SRapMBaCsMQWGbi+rupMdO3ZgNBp59NFHzc7ToUMHtm/frgagtm/fTrt27dRrAPTq1YsPPviAnTt3mn2QF+bCwsKoXr261eATwJNPPsnHH3/MpUuXqFOnDsuWLWP69OlMmTKFnJwc6tSpY5btNGnSJPz8/Fi5ciXff/897u7utGrVSl1Jr3HjxnzzzTd88cUXjBw5EicnJ4KDg3n77bfN+itNmzaNiRMnMmHCBLy9vRk9ejRr164lOTm50M9x7NixTJ48mZEjR5Kamsonn3xy3/fEhx9+yNWrV9XH7777LgAjRoxg5MiRAIwfPx5PT09+//13QkND8fDwoE2bNowZM8aslC4pKYlPP/2U2NhYqlSpwhNPPMEbb7yBVntzbYHGjRuzaNEivv76ayZMmIDRaKR+/fosWLCAVq1aqePOnj3Lm2++aTZX0+PNmzfj5+d3X89bCCGEEEIIUXxi0+KtBp861m7N4wHdqetRky3nd7Jg308YFaPVAFNg1QfZdWkf9T3rMK7DEAk+iSKnURTFMjxaynJycsjOzubcuXO8++67VK9enblz5wK5PaDWrl2LnZ0dmZmZNGjQgDfeeIPu3burx3/22Wf8/vvv7Nxp3rV/xowZ/Pzzz+r2du3a8fTTTzN+/HizcZ06daJv374W2wvi6NGjQG7GlTUZGRlERkZSt25dHBwcCn1+UT7l5OSQkZFRqIbkwjp5D5VNaWlpnDx5koYNG+Lk5FTa0xGiSMn9LSoyub9FRVaZ7u9j0af5cOtMi+0fdBvDQ1UaqI9j0+K5lnKDai4+FgGmXZf2MfPvUBr5PMDk4LHFPWVxn8rK/X23GMitymQGVLdu3YiOjgZyg0G3rtTVsGFDmjRpQv369UlOTmbp0qUMHz6cL7/8Us14SkpKslp2pdfrzVZMS0pKQq/XW4xzc3O7p5XVTBRFIS0tzeq+zMxMjEYjOTk5almWqPhMcV5FUeTrfp9ycnIwGo2kp6djNBpLezoiT3p6utnfQlQkcn+Likzub1GRVab7293WFQ0aswworUaDm42L2WdTR+yp65Jb3WDxmTXvY0p6Vka+n2dF2VFW7m9FUQq86FeZDEAtWLCA9PR0zp07x9y5cxk2bBjffvstNjY2vPTSS2Zjg4ODGThwIF999ZVZyV1pMhgMnDyZ/4oCtra2BWpuLSoe+brfv8zMTLKzszl//nxpT0VYceHChdKeghDFRu5vUZHJ/S0qsspyf3fzbsOWmN0AaNDQw6cj0ReiiCaqQMdfS8sdl5SWfMfPs6JsKQv3962tYu6kTAagTEvQN2vWjCZNmtC3b182btxoNcCk1Wrp0aMHn3/+uVripNfrSUlJsRiblJSEm5ub+liv11vtDZSYmGg2rrB0Oh3169e3ui8zM5OrV69ib28v5UOViKIo6kp0BY0Oi/zZ2tpSq1YtdWU/UfrS09O5cOECderUkab1osKR+1tUZHJ/i4qsst3fXqk+bNmyG51Wx6fB7+Dp6F6o4+3jneEqYKuRFbPLgbJyf587d67AY8tkAOpWAQEB6HQ6Ll26VOBj/P39iYmJsQgknT9/Hn9/f7Nxt2dRJCcnc+PGDbNxhaXRaPKtwdRqtWi1WmxsbKQXUCViKrvTaDTydb9PNjY2aLVaHB0dJYhbBjk6Olb4Hgui8pL7W1Rkcn+Liqyy3N/GjNzyO1d7Z/y8qhf6eDdDbnuarJysSvF6VRSlfX8XJsFCe/chpevw4cMYDIZ8V+EyGo2sW7eOBx54QP0w2rFjR7RaLRs2bFDHJSYmsmPHDjp37qxu69y5M7t27SIpKUndtm7dOrRaLR06dCimZySEEEIIIYQQQhStVENuLyBn3b1lw9jb5lYXZGRL2xBRPMpUBtSIESNo3LgxAQEBODg4cOrUKUJDQwkICKB79+5cuXKFd955h8cee4zatWuTmJjI0qVLOXbsGLNmzVLPU61aNfr168dnn32GVqulatWqzJ8/H1dXVwYOHKiOGzhwIIsXL2b48OEMHTqU6OhoPvvsMwYOHEjVqlVL4yUQQgghhBBCCCEKLS0vAOVkd2/ZMA55ASiDMRuj0YhWW+bzVUQ5U6YCUIGBgYSHh7NgwQIURaFGjRr079+fQYMGYWdnh7OzMy4uLsydO5fY2Fh0Oh2NGzdm4cKFdOrUyexcEydOxNnZmenTp5Oamkrz5s359ttvzVbHc3Nz4/vvv+e///0vw4cPx9nZmX79+jFmzJiSfupCCCGEEEIIIcQ9S83KC0DdYwaUg83NRtIZOZk4aSt+3yxRsspUAGrIkCEMGTIk3/3u7u7MnTu3QOeys7Pj7bff5u23377juHr16vHdd98VZppCCCGEEEIIIUSZknafJXg6Gx0aNCgoZGZn3XMgS4j8SE6dEEIIIYQQQghRzqUZ0gBwsru3wJFGo8HeNjcLKlP6QIliIAEoUSSeeOIJAgIC2LdvX2lPpch89913bNu27a7jUlJSmDVrFv369aNly5a0b9+eYcOGcfr0aYuxycnJvPvuu7Ru3ZpmzZoxatQorl+/bjHuwIEDDBgwgMDAQLp166aWpd5KURQWLFhA165dCQwMZMCAARw6dMjiXAcPHuS5554jMDCQ9u3b89///pf09HSzMcHBwQQEBFj9Yzrn9evX+eyzz+jbty/NmjWjc+fOjBs3jitXrpida9euXYwZM4bg4GCCgoLo3bs3ixYtwmAwWMx/4cKFBAcH07hxY/r06UN4ePhdX28hhBBCCCGEpfstwYNbG5FnFcmchLhVmSrBE+XT2bNn1WDLmjVraNmyZSnPqGj88MMPdO3alS5dutxx3NWrV1m+fDlPP/00o0ePJjMzk2+++YYBAwawatUq6tWrp44dN24c586dY/Lkydjb2zNz5kwGDx7MqlWrsLXNfTtevHiRQYMG0aFDB0aPHs3p06eZNm0aNjY2DBo0SD3XwoUL+eqrrxg/fjwBAQEsWbKEV199ld9//52aNWsCcOXKFV5++WVatmzJrFmzuH79OtOmTePGjRt89dVX6rlmz55NVpb5fzLTpk0jIiKCxo0bA3D8+HE2btzI008/TVBQEPHx8cydO5f+/fsTFhaGp6cnAMuWLSMjI4NRo0bh6+vL4cOHmTVrFhEREXzyySfq+RctWsTMmTN5/fXXadq0KVu2bGHs2LE4ODgQHBx8L18yIYQQQgghKq2bJXj31oQccvtAJSIr4YniIQEocd/WrFmDVqulVatWrFu3jokTJ6LT6Up7WiXGz8+PjRs34uh48zcNbdu2JTg4mJ9++on3338fgMOHD7Njxw5CQ0Pp2LEjAHXr1qV3795s2LCB3r17AxAaGoqHhwdffPEFdnZ2tGvXjri4OObNm0dISAh2dnZkZmYyf/58Xn31VV5++WUAWrRowaOPPkpoaCiTJ08GYP78+ej1eubOnYudXW46rV6vZ9SoUZw4cYJGjRoBqH+bpKWlcfz4cZ588kk1MNaiRQv++OMP9TFA8+bN6dq1K7/99huvvvoqAJMnT1aDUQBt2rTBaDQyc+ZM3nrrLTw9PcnKymLu3LmEhIQwYsQIADp27MjVq1eZOXOmBKCEEEIIIYQopFTD/WdAmVbCy8yRAJQoelKCJ+6LoiiEhYXRtm1bXnnlFRISEvjrr78sxkVERDBixAhat25NUFAQTzzxBGFhYep+o9HIt99+S69evWjcuDEdOnRg1KhRJCcnq2P27t3LwIEDCQwMpE2bNkyYMIGEhAR1/549ewgICODo0aNm137jjTcICQlRH8+aNYtmzZpx+vRpnn32WYKCgujTp4/ZvIODg7ly5QpLlixRS9F++eUXq6+Bk5OTWfAJwNnZmVq1apmV1+3atQu9Xk+HDh3Ubf7+/jRs2JDt27er27Zv387DDz+sBowAevfuTVJSEgcPHgRyS/RSUlLo1auXOsbOzo5HHnnE7FwnT56kVatWZucyBb+2bNli9fkAbN68mbS0NB5//HF1m16vNws+AVSrVg1PT0+z53lr8MmkYcOGKIrCjRs3APj3339JTU01ey1Mczt9+jRXr17Nd25CCCGEEEIIS2lZuT2gnO+xBxTcLMHLlBI8UQwkAFUBZCfFkn7hKNlJsSV+7QMHDnDlyhX69OlDx44dcXd3NwssAVy4cIEBAwZw8eJF3nvvPebOnctTTz1lFmT473//y+eff07Xrl2ZN28ekyZNwtnZmbS03G+ix44d45VXXsHZ2Zkvv/yS8ePH8+effzJ48GBycnIKPW+DwcD48eN56qmnmD17Np6enowaNYr4+HggtyTNx8eHnj17snz5cpYvX07Xrl0LfP6kpCTOnj2Lv7+/2etQp04dNBqN2Vh/f3/Onz8P5GYeRUVFmR1nGqPRaNRxpr9vH1evXj2uXr1KRkYGAJmZmWbBJwCdTmd2LmvCwsKoUaMGzZs3v+PzjIyMJDY21qzM0JoDBw5gZ2eHn5+fOi/AYm6mxxEREXc8nxBCCCGEEMJcmpoBde8leKYm5FKCJ4qDlOCVEYqioBgK/yZPPrKV2A2LQFFAo8Grx2u4BnYt9Hk0OnuLwEhBhIWFYW9vT48ePdDpdPTs2ZPVq1eTmpqKs7MzkJtxpNPpWLp0KS4uLgC0b99ePUdkZCRLly5lzJgxDB06VN3es2dP9d/z5s3Dx8eHefPmqeV9vr6+DBo0iG3bthW6ZMsUgDL1d6pbty4PP/ww27dvp2/fvjRq1Ag7Ozu8vb1p2rRpoV+Xzz//HI1Gw7PPPqtuS0pKQq/XW4x1c3Pj2LFjAGrG1+3j7OzscHR0JDExUT2XnZ0d9vb2ZuP0ej2KopCYmIiDgwN16tTh6NGjKIqifn2PHDmijrEmPj6enTt3qiV1+VEUhY8++ogqVarw2GOP5TvuwoUL/PDDDwwcOFC9J2rVqoVGo+HIkSO0adNGHWtqeJ7f3IQQQgghhBDW3SzBc7jnc0gGlChOEoAqAxRF4eoP75F52XLVtEKeiNj1C4ldv7DQh9r7PUj1Fz8qVBAqOzubdevW0aVLF1xdXQF4/PHHWb58ORs3buTJJ58EYPfu3fTs2VMNPt1u9+7dKIpCv3798r3Wvn376NOnj1lvqY4dO6LX69m/f3+hA1BarZZ27dqpj/38/HBwcCA6OrpQ57Fm1apVrFixgqlTp1KtWrX7Pt/9ePbZZ3n55ZeZPn06r776KtevX2fKlCnY2Njke8wff/yBwWCgT58+dzz3rFmz2L17N4sWLcLJyfpvWVJSUhg5ciR+fn6MGTNG3e7i4sITTzzBokWLaNCgAU2bNuXPP/9k7dq1APcUDBVCCCGEEKIyu1mCd39NyEF6QIniIQGoMqP8feDeuXMncXFxdOvWjaSkJAAaNGiAj48PYWFhagAqISGBKlWq5HuehIQEbG1t8fLyyndMUlKS1f1eXl73lC3j4OBgtTTNVBp2r7Zt28akSZN44403+M9//mO2T6/Xm/VKMklMTMTNzQ1ADeTd2vsKICsri/T0dHWcXq8nKyuLzMxMsyyopKQkNBqNOq5du3aMHz+e2bNns3DhQrRaLQMHDkSn0+X7NQkLCyMgIIAGDRrk+zxXrFjBnDlz+N///mcWyLt9zsOHDycxMZHly5dbBKkmTJhATEwMQ4YMAcDDw4M333yTTz/9FB8fn3yvLYQQQgghhDBnVIykZee24XC+jybkpgyoDMmAEsVAAlBlgEajofqLHxW6BC87OZbL89/MLb9TT6bFb+hMbF3zD+ZYncM9lOCtWbMGyA0kTJgwwWxffHw8sbGxeHl54e7ubjXwYuLu7k52drY63ho3NzdiYy17XMXGxqrBFlMgxmAwmI0xBWWK26FDh3jzzTd58sknefPNNy3216lThz179piVw0FuCaIp2OPk5ISvr69Ff6bIyEgURVF7Ppn+joyM5MEHH1THnT9/nurVq+PgcDPtdvDgwTz//PP8+++/+Pj4oNfradu2Lc8884zFHK9evcqBAwcYO3Zsvs9z48aNTJ48mVGjRuWbtWY0Ghk/fjzHjx9nyZIl+Pr6Wozx8PDgm2++ITo6msTEROrUqcPmzZvR6XQWq/IJIYQQQggh8peRnYmS97mwKFbBkx5QojhIE/IyQqPRoLVzKNQfO68aePceBpq8L6NGi3fvodh51Sj0uQoboElPT2fz5s10796dH374wezPF198QXZ2NuHh4UBuFs769etJSUmxeq62bdui0WhYtWpVvtdr0aIFmzdvJjs7W922c+dOkpKSaNGiBYBa7nZrA+u4uDiOHz9eqOdmUpiMqHPnzjF06FDatm3LlClTrI5p3749SUlJ/P333+q2yMhITpw4QefOndVtnTt3ZvPmzWaBtPDwcPR6Pc2aNQOgefPmuLi48Mcff6hjDAYDGzZsMDuXiZOTEwEBAXh6evLbb7+hKIrZCnompgby+ZXf7dmzh7Fjx9K/f3+GDx+e7+sxZcoU/vzzT77++msCAgLyHQdQtWpVGjRogI2NDUuXLqV37975lmsKIYQQQgghLKVl5fZ/stXaorPR3WV0/kxNyDMlACWKgWRAlXP6pt1x8m+GIT4KnYcvtvrCZT7dq82bN5OWlkZISIhZE2mTRYsWERYWRkhICCNGjGDr1q0899xzvPbaa/j4+BAREUF6ejqDBw+mbt26DBw4kC+//JLExETatWtHRkYGW7duZeTIkVStWpVhw4YxcOBAhg4dSkhICDExMUyfPp3AwEC1kXi1atUICgpizpw5uLq6Ymtry8KFC9WytsLy9/dn9+7d7Ny5E71ej5+fHx4eHhbjYmNjGTRoEPb29rz00ktqQ3HI7XVUv359AIKCgujYsSPvvvsub7/9Nvb29syYMYOAgAB69OihHjNo0CDWrFnDuHHjePbZZzlz5gyhoaGMGTNGLRu0t7dn6NChzJo1C09PTxo0aMDSpUtJSEhg0KBB6rn+/fdffvvtNwIDA4Hcfls//PADH3/8sZo5dquwsDCaN29O9erVLfZFREQwfPhw6tSpQ9++fdWG4QCenp7UqlULyG0Yv2zZMgYNGoSdnZ3ZuPr166vBpdWrV5OZmUmtWrW4fv06y5cv5/Lly0ybNu2uXxshhBBCCCHETaYV8Jx1jvdV/eEgTchFMZIAVAVgq/cqscCTSVhYGNWrV7cafAJ48skn+fjjj7l06RJ16tRh2bJlTJ8+nSlTppCTk0OdOnXU3j8AkyZNws/Pj5UrV/L999/j7u5Oq1at1FXTGjduzDfffMMXX3zByJEjcXJyIjg4mLffftusofa0adOYOHEiEyZMwNvbm9GjR7N27VqLnkoFMXbsWCZPnszIkSNJTU3lk08+4amnnrIYd+7cOa5duwbAyy+/bLavdevWLF68WH08ffp0PvvsMyZNmkR2djYdO3Zk4sSJ2NrefCvWrl2b0NBQpk6dypAhQ/D09GTUqFEWq9INHjwYRVH45ptviIuLo2HDhoSGhlKzZk11jE6n459//uH777/HYDDw4IMPMnv2bLp162b1eZw+fZoPPvjA6utx+PBhkpOTSU5ONlvdD+A///kPU6dOBXIz0wBCQ0MJDQ01G/fDDz+o94xp7pcvX8bJyYkuXbowbdq0O/YLE0IIIYQQQlhKNeQ2IL+f8jsA+7wm5BnShFwUA42i3NpASNyvo0ePAtCkSROr+zMyMoiMjKRu3bpmfXpExZaTk0NGRgYODg53XIFO3J28h8qmtLQ0Tp48ScOGDfNdFVGI8krub1GRyf0tKrLKdH/vu3KEz3bMpZ5nbT555J17Ps+W87uYt3cxzXwbM6Fz/i03ROkrK/f33WIgt5IeUEIIIYQQQgghRDl2swTv/gIRDtIDShQjCUAJIYQQQgghhBDlmCkAdd8leLIKnihGEoASQgghhBBCCCHKsdSsvB5QdvcXgJIm5KI4SQBKCCGEEEIIIYQox25dBe9+SBNyUZwkACWEEEIIIYQQQpRjqUVUgicZUKI4SQBKCCGEEEIIIYQox9Ky8jKg7O6vCbm9NCEXxUgCUEIIIYQQQgghRDlW1E3IDcZscow59z0vIW4lASghhBBCCCGEEKIcSzXkNSG/3xK8vB5QIGV4ouhJAEoIIYQQQgghhCjHbpbg3V8ASmejQ6PRANKIXBQ9CUAJIYQQQgghhBDl2M1V8O6vB5RGo8HBRhqRi+IhAShRJJ544gkCAgLYt29faU+lyHz33Xds27btruNSUlKYNWsW/fr1o2XLlrRv355hw4Zx+vRpi7HJycm8++67tG7dmmbNmjFq1CiuX79uMe7AgQMMGDCAwMBAunXrxoIFC1AUxWzMkiVLGDp0KG3btiUgIIB169ZZnGfXrl2MGTOG4OBggoKC6N27N4sWLcJgMJiNCwgIyPePtfkB/O9//yMgIIAPP/zQbPsvv/xi9TzTpk0zG/fpp5/y2GOP0axZM5o3b87TTz/N2rVrrb/IQgghhBBCCKsURSmyVfBAGpGL4mNb2hMQ5d/Zs2fVYMuaNWto2bJlKc+oaPzwww907dqVLl263HHc1atXWb58OU8//TSjR48mMzOTb775hgEDBrBq1Srq1aunjh03bhznzp1j8uTJ2NvbM3PmTAYPHsyqVauwtc19O168eJFBgwbRoUMHRo8ezenTp5k2bRo2NjYMGjRIPdfvv/8OQJcuXfjtt9+szm3ZsmVkZGQwatQofH19OXz4MLNmzSIiIoJPPvlEHbd8+XKLY99++20cHR2pUqWKxb7Tp0+zatUqXFxc8n1dFi1ahKurq/q4atWqZvtTU1Pp378//v7+aDQa1q9fz9ixYzEajTz++OP5nlcIIYQQQghxkyHHQLYxGwCn+yzBg5uNyDMkA0oUMQlAifu2Zs0atFotrVq1Yt26dUycOBGdTlfa0yoxfn5+bNy4EUfHm9/s27ZtS3BwMD/99BPvv/8+AIcPH2bHjh2EhobSsWNHAOrWrUvv3r3ZsGEDvXv3BiA0NBQPDw+++OIL7OzsaNeuHXFxccybN4+QkBDs7HJ/I7Fs2TK0Wi2XL1/ONwA1efJkPD091cdt2rTBaDQyc+ZM3nrrLXVf06ZNzY67fPkyFy5c4K233rJ63v/+97+8/PLL+V4X4KGHHjK79u1uz5zq1KkT586d49dff5UAlBBCCCGEEAVkKr/TaDQ45AWP7oepEXmm9IASRUxK8MR9URSFsLAw2rZtyyuvvEJCQgJ//fWXxbiIiAhGjBhB69atCQoK4oknniAsLEzdbzQa+fbbb+nVqxeNGzemQ4cOjBo1iuTkZHXM3r17GThwIIGBgbRp04YJEyaQkJCg7t+zZw8BAQEcPXrU7NpvvPEGISEh6uNZs2bRrFkzTp8+zbPPPktQUBB9+vQxm3dwcDBXrlxhyZIlagnZL7/8YvU1cHJyMgs+ATg7O1OrVi2z8rVdu3ah1+vp0KGDus3f35+GDRuyfft2ddv27dt5+OGH1UATQO/evUlKSuLgwYPqNq327m9fawGghg0boigKN27cyPe4sLAwNBoNffr0sdi3evVqLl++zODBg+96/cJyd3e3KA8UQgghhBBC5E8tv7N1QKu5/4/4pgwo6QElipoEoCqA2LR4jkWfJjYtvsSvfeDAAa5cuUKfPn3o2LEj7u7uZoElgAsXLjBgwAAuXrzIe++9x9y5c3nqqae4evWqOua///0vn3/+OV27dmXevHlMmjQJZ2dn0tJylxM9duwYr7zyCs7Oznz55ZeMHz+eP//8k8GDB5OTk1PoeRsMBsaPH89TTz3F7Nmz8fT0ZNSoUcTH576Gs2fPxsfHh549e7J8+XKWL19O165dC3z+pKQkzp49i7+/v9nrUKdOHXVVCRN/f3/Onz8PQFpaGlFRUWbHmcZoNBp13P04cOAAdnZ2+Pn55Ttm7dq1tGrVimrVqpltT0lJ4bPPPuP//u//LIJut+vTpw8NGzbk4YcfZv78+Va/ToqikJ2dTVJSEr/99hs7d+7k+eefv7cnJoQQQgghRCWUmpX7mcnJ7v4akJs4qCV4kgF1v0rzs3pZJCV4ZYSiKGTmFD7CvC1yN98cWI6CggYNrzYfQJe6bQt9HnsbO4vASEGEhYVhb29Pjx490Ol09OzZk9WrV5OamoqzszOQm3Gk0+lYunSp2jOoffv26jkiIyNZunQpY8aMYejQoer2nj17qv+eN28ePj4+zJs3Ty3v8/X1ZdCgQWzbto3g4OBCzdsUgDL1d6pbty4PP/ww27dvp2/fvjRq1Ag7Ozu8vb0tytMK4vPPP0ej0fDss8+q25KSktDr9RZj3dzcOHbsGICa8XX7ODs7OxwdHUlMTCz0XG514cIFfvjhBwYOHKh+fW536tQpzpw5Y1EiB7mBudq1a6vlgtb4+PgwcuRIgoKC0Gg0bNmyhZkzZxIdHc2kSZPMxv7999+88sorANja2vL+++/z6KOP3sczFEIIIYQQonJJM2QA4FwEDcjhZhNyCUDlBpCikq/j61oFLyePQu3fcn4n8/cuUT+rD231PMH+HSzOUZlIAKoMUBSFSZuncTr2/rJbFBRCDywj9MCyQh8b4F2PD4PHFSoIlZ2dzbp16+jSpYvabPrxxx9n+fLlbNy4kSeffBKA3bt307Nnz3wbVu/evRtFUejXr1++19q3bx99+vQx6y3VsWNH9Ho9+/fvL3QASqvV0q5dO/Wxn58fDg4OREdHF+o81qxatYoVK1YwdepUiwyi0pSSksLIkSPx8/NjzJgx+Y5bs2aNGky81dmzZ1myZAkrVqy443U6depEp06d1McdO3bE3t6e77//nmHDhpk1NQ8MDOTnn38mJSWF7du389FHH2FjY0P//v3v8VkKIYQQQghRuaQZ8jKgiiwAJSV4YBlAeqlZP3rU74Kt1sbq/heb9uOhKg8QkxbPpYQrLDu2Wj2XgsKCfT8RVK2R1UBWZSEBqLLiHrKPStvOnTuJi4ujW7duJCUlAdCgQQN8fHwICwtTA1AJCQlWV1IzSUhIwNbWFi8vr3zHJCUlWd3v5eV1T1lBDg4OZj2WAHQ6HZmZ9xfl37ZtG5MmTeKNN97gP//5j9k+vV5v1hPKJDExETc3NwA1kHdr7yuArKws0tPT1XGFlZWVxfDhw0lMTGT58uU4OVlPz1UUhfDwcDp16oS7u7vZvqlTp/Loo49So0YN9ettNBoxGAwkJSXh4uKSb1+qXr168c0333Dy5Emze8HFxYUmTZoA0K5dO3Jycpg6dSpPPfUUNjY29/RchRBCCCGEqExSs/J6QBVVCZ40IScy/hLz9v6oPlZQ+O7gSr47uBJbrS06G1vS8zLPTPu/P7Tyjuc0KkaupdyQAJQoXRqNhg+DxxW6BC8uLYExf0xBQVG3aTUavnj0Azyd3At1rnspwVuzZg0AEyZMYMKECWb74uPjiY2NxcvLC3d3d6uBFxN3d3eys7PV8da4ubkRGxtrsT02NlYNytjb50bqb29inZSUdE/lhYV16NAh3nzzTZ588knefPNNi/116tRhz549KIpiNp/IyEgaNGgA5DY09/X1tej1FBkZiaIoFr2hCsJoNDJ+/HiOHz/OkiVL8PX1zXfs/v37uXr1qtXV7yIjI9mxYwerV682275ixQpWrFhBeHg49erVK/T8bvXQQw/x/fffExcXh4+Pz32dSwghhBBCiMrAtApe0ZXgmXpAVY4MqFvL6OLTE1l3dis7Lu3Nd3y2MZtsY7bVfU46B6q6+OBq78KRayct9ns6uhfVtMslCUCVEfeyZGZ1fVWGtnqeBft+wqgY0Wq0DGn5HNX1VYtpljelp6ezefNmunfvzosvvmi2LyYmhrFjxxIeHk5ISAjt2rVj/fr1jB8/3moZXtu2bdFoNKxatYohQ4ZYvV6LFi3YvHkz77zzDra2ubftzp07SUpKokWLFgBquVtERATNmzcHIC4ujuPHj9O4ceNCP8fCZESdO3eOoUOH0rZtW6ZMmWJ1TPv27Vm4cCF///232gMrMjKSEydO8Nprr6njOnfuzObNm3nrrbfUksPw8HD0ej3NmjUr9POYMmUKf/75J6GhoQQEBNxx7Jo1a3BycrJa0vjFF19YvB5jx46ladOmvPjii1SvXj3f84aHh2NjY0OjRo3ueP39+/fj4uKCh0fl/a2AEEIIIYQQhZFa5CV4eRlQlaAH1K1ldHej1Wj5vOd7OOkcuZZ8gw+3zrRIBpn+6CQ1w2nL+Z3qZ3WTOXu+Z3zHobg7WPYGrgwkAFXOBft3IKhaI66l3KCai0+JpfNt3ryZtLQ0QkJCaNOmjcX+RYsWERYWRkhICCNGjGDr1q0899xzvPbaa/j4+BAREUF6ejqDBw+mbt26DBw4kC+//JLExETatWtHRkYGW7duZeTIkVStWpVhw4YxcOBAhg4dSkhICDExMUyfPp3AwEC1kXi1atUICgpizpw5uLq6Ymtry8KFC9WytsLy9/dn9+7d7Ny5E71ej5+fn9XASGxsLIMGDcLe3p6XXnpJbSgOuSVm9evXByAoKIiOHTvy7rvv8vbbb2Nvb8+MGTMICAigR48e6jGDBg1izZo1jBs3jmeffZYzZ84QGhrKmDFjzMoGjx49ypUrV4iLiwPg8OHDAHh6etK6dWsgt3n7smXLGDRoEHZ2dhw6dEg9vn79+mYBwezsbNavX0/37t1xcHCweJ7WmrHb29tTtWpVs3tg0KBBtGnTRg12bd68mRUrVvDiiy+qWU2nTp1i2rRpaklfWloaW7duZeXKlYwdO1YNMgohhBBCCCHuLC2vBM/ZrmgCUJVlFbzYtHirwac2NZrSt2FPLiVesUj2qOmW+0t3LycPq8kgt34ev/Wzenx6AqH7l3Em9jzvbvyU/+v4OnU88l+VvKKST3kVgJeTR4nXkYaFhVG9enWrwSeAJ598ko8//phLly5Rp04dli1bxvTp05kyZQo5OTnUqVPHLNtp0qRJ+Pn5sXLlSr7//nvc3d1p1aqVulJb48aN+eabb/jiiy8YOXKkmqXz9ttvm/UKmjZtGhMnTmTChAl4e3szevRo1q5da9FTqSDGjh3L5MmTGTlyJKmpqXzyySc89dRTFuPOnTvHtWvXAHj55ZfN9rVu3ZrFixerj6dPn85nn33GpEmTyM7OpmPHjkycONEs4FK7dm1CQ0OZOnUqQ4YMwdPTk1GjRvHqq6+anXvJkiX8+uuv6uNvvvnG4po7d+4EIDQ0lNDQULPjf/jhB7Ov344dO4iPj6dPnz4Ffo2sqVu3LqtWreLatWsYjUbq1KnDu+++S0hIiDrG29sbvV7P119/zY0bN3B1dcXf35/Zs2fTvXv3+7q+EEIIIYQQlYmpBM9JV0Q9oCpJE/Lj189YzXx6tEE36nvVob5XnTsmexQkGeTWz+r+nrX59K+viUq+zvtbpjGq7Sv4e9S64yp7FY1GUZS755qJAjt69CiA2lj5dhkZGURGRlK3bl2rWSaiYsrJySEjIwMHBwdprn2f5D1UNqWlpXHy5EkaNmyYb5N7Icorub9FRSb3t6jIKsv9/cn2ORyMOsawViEE+7e/7/P9eX4Xc/cuppnvQ0zoPKIIZlj2ZBgyeHvjVKKSzVdB12q0zOnzUbEFg1KyUpmxaxFHo0+ZbdegYWir5wn271Dgc5WV+/tuMZBbWV+ySgghhBBCCCGEEGWe2oS8iErwymIT8ti0eI5FnyY2Lf6+z6UoCl/vXUxUcjSOtg5o8xaIslZGV9Rc7JyZ0HkEXeq0NZ8TCgv2/VQkz68skxI8IYQQQgghhBCinErLym1CXlSr4DmUsSbktzYKv5dModv9fmoDu/89gI3Whne7jMDbybNEeyrbam3oUqct2y7sNttuVIxcS7lRoUvxJAAlhBBCCCGEEEKUU6lqD6iizYAqCz2gbm8UbsoUCqrW6J4CNYeiTrD0yO8AvNpsAAHe9QBKPOjj61oFDZrbVtHTUs3Fp0TnUdKkBE8IIYQQQgghhCin1CbkdkXbhLwsrIIXlXzdolG4KVOosK6l3ODLvxehoPCwf0ceqd+pqKZZaKZV9LSa3JBMSZT/lQWSASWEEEIIIYQQQpRDOcYcNVBUVCV49nkleBk5pR+A8nWtYrHtXjKFMrIzmbZjPqmGdB7wqsurzZ8pqines4KsolfRSACqlMjig0LcG3nvCCGEEEIIkcuU/QTgWFQ9oGzKTgmel5MH/h61OB9/Sd3WukbTQgVrYlLjmL3ney4lXsHdQc+4DkPQ2eiKY7qF5uXkUSkCTyZSglfCdLrcGz0tLa2UZyJE+ZSamopGo1HfS0IIIYQQQlRWpgCUva09tlqbIjmnKQMq25hNjjGnSM55Pxx1DgDU86gFwIGoowUuwdtyfidvhL3HiRtnAOhSpx2eju7FMk9xd5IBVcJsbGxwd3fn+vXrADg5OaHJW/ZRVFw5OTlkZuamsNrYFM1/DJWJoihkZ2eTlJREUlIS7u7u8joKIYQQQohKLzXL1IDcocjOaWpCDrlZUE52RZNZda+SM1MBGBjYl99PbuDY9dMs3LeEiV3evONn6dwG5j+abVtzeiOPPtClUmUdlSUSgCoF1apVA1CDUKLiMxqNZGdnY2tri1YriYf3ysbGBl9fX9zc3Ep7KkIIIYQQQpS6NENuZY2zrmgakAPotLZoNBoURSEjJxMnSjkAlZUCgKudC0NaPse49R9xNPo02y7spmvddlaPURSFxYd+4fbmHaYG5hKAKh0SgCoFGo0GX19fqlSpgsFgKO3piBKQnp7O+fPnqVWrFo6OpfsNvLyytbXFxsZGMgaFEEIIIYTIk2bIAIquATnkfl51sLUn3ZBR6n2gFEVRM6D09i54O3vyzEN9WHLkV74/9DNNfR/C3UFvdky2MYf5e39k17/7LM53Lw3MRdGRAFQpsrGxkTKiSsJoNAJgb2+Pg0PRpccKIYQQQgghKq/UrNwMqKIuk3OwyQ1AmVbYKy2Z2ZlkG7MBcLF3BqBPwMPsurSPyIR/+e7gSka3G3TL+Cxm7FrIgahjaDVaOtduzfaL/2BUjGg1Woa0fE6yn0qRBKCEEEIIIYQQQohyKNVg6gFVtAEoUyPyzFIOQCVn5WY/6Wx02NvkzslGa8PQVi/w7qZP2XVpH51qt6ZF9SYkZ6Yw9a+vORsbic5Gx5h2r9GyRiADmjzBtZQbVHPxkeBTKStTzWi2bdvGCy+8QNu2bWncuDEPP/wwn3zyCcnJyWbjtmzZwhNPPEGTJk3o2bMnq1atsjhXVlYWn376KR06dKBp06a88sornD9/3mJcREQEr7zyCk2bNqVDhw589tlnZGWV/nKTQgghhBBCCCHEnZhWwSvKHlBwsxF5RimX4CVnmvo/OZu14vD3rEWfgIcBmL93CX+e38V7mz7jbGwkznZOTOr6Ji1rBALg5eTBQ1UaSPCpDChTAaiEhAQCAwOZMmUKoaGhvPLKK/z222+8+eab6ph9+/YxYsQImjZtysKFC+nVqxfvvfce69atMzvXRx99xMqVKxkzZgyzZs0iKyuLl19+2SyYlZiYyEsvvYTBYGDWrFmMGTOGFStWMHXq1BJ7zkIIIYQQQgghxL1IK7YSvLwMqJyykQHlaudssa//Q33Q27mQkJHI3L2LuZZyA2edEx8GjyPAu15JT1UUQJkqwevbt6/Z4zZt2mBnZ8f7779PdHQ0VatWZe7cuQQGBvLhhx8C0LZtW/7991+++uorHn30UQCuXbvGzz//zAcffEC/fv0AaNKkCd26dWPZsmUMHjwYgGXLlpGamsrs2bNxd3cHICcnhylTpjB06FCqVq1aQs9cCCGEEEIIIYQonOIrwcvNgCrtJuRqBpS9i8W+lKxUNUBlkp6dXuSvhSg6ZSoDyhpTYMhgMJCVlcWePXvUQJNJ7969iYiI4PLlywDs2LEDo9FoNs7d3Z0OHTqwfft2ddv27dtp166deg2AXr16YTQa2blzZ/E9KSGEEEIIIYQQ4j4VXwlebgZUaTchN62AZ2pAfquo5OsoKGbbjIrCtZQbJTI3UXhlMgCVk5NDZmYmx48fZ86cOQQHB+Pn58elS5cwGAz4+/ubja9XLze9ztTj6fz583h5eeHm5mYx7tY+UOfPn7c4l16vx8fHx2q/KCGEEEIIIYQQoqwwBaCc7Ip2pW0HtQdU2S3B83WtggaN2TatRks1F58SmZsovDJVgmfSrVs3oqOjAejUqRPTp08Hcns2QW6Q6Famx6b9SUlJuLq6WpxXr9erY0zjbj8XgJubm9m4wlIUhbS0tHs+XlQ86enpZn8LUdHIPS4qMrm/RUUm97eoyCrD/Z2ckVuiZmO0KdLPoDbYAJCSnlKqn23jUxMAcNDaW8zDEXteDurP90dWYlQUtBoNLwX2wxHLsRVRWbm/FUUxaxB/J2UyALVgwQLS09M5d+4cc+fOZdiwYXz77belPa0CMxgMnDx5srSnIcqgCxculPYUhChWco+Likzub1GRyf0tKrKKfH8npuUusnX9SjQnY5W7jC641MTc8169HsVJY+l9tr0aE5U7n/gUq5+xq6BnaO2BJGQl4m7nhj7VudJ9Fi8L97ednV2BxpXJANSDDz4IQLNmzWjSpAl9+/Zl48aN1K9fH8BsJTvIzWQC1JI7vV5PSkqKxXmTkpLMyvL0er3FuSA3k+r28r3C0Ol06lyFgNyo9IULF6hTpw6OjtIUT1Q8co+Likzub1GRyf0tKrLKcH9nX8wGoFH9B6nuWnSLaJ08dRESjuHi7krDhg2L7LyFFZawDVKgfk1/GvqV3jzKorJyf587d67AY8tkAOpWAQEB6HQ6Ll26RHBwMDqdjvPnz9OpUyd1jKlfk6mfk7+/PzExMRaBpNt7Pvn7+1v0ekpOTubGjRsWvaEKQ6PR4ORUtE3gRMXg6Ogo94ao0OQeFxWZ3N+iIpP7W1RkFfX+VhSFtOwMALz0njg5Ft1zdHHM7bmUg7FUXzv1+bl6VMivYVEo7fu7oOV3UEabkN/q8OHDGAwG/Pz8sLOzo02bNqxfv95sTHh4OPXq1cPPzw+Ajh07otVq2bBhgzomMTGRHTt20LlzZ3Vb586d2bVrl5pBBbBu3Tq0Wi0dOnQo5mcmhBBCCCGEEELcm4zsTBQlt+zOWVe0GTCmJuSZ2VlFet7CutmE3KVU5yGKRpnKgBoxYgSNGzcmICAABwcHTp06RWhoKAEBAXTv3h2A119/nRdffJHJkyfTq1cv9uzZQ1hYGDNmzFDPU61aNfr168dnn32GVqulatWqzJ8/H1dXVwYOHKiOGzhwIIsXL2b48OEMHTqU6OhoPvvsMwYOHEjVqkWXviiEEEIIIYQQQhSlVENuo20brQ06G12RnvvmKngZRXrewkrOzG2t42pvuQqeKH/KVAAqMDCQ8PBwFixYgKIo1KhRg/79+zNo0CC1qVXLli2ZNWsWM2fO5Oeff6Z69ep89NFH9OrVy+xcEydOxNnZmenTp5Oamkrz5s359ttvzVbHc3Nz4/vvv+e///0vw4cPx9nZmX79+jFmzJgSfd5CCCGEEEIIIURhpGXlrn7mrHMsVBlUQdjb5n7+zswpvQyorOws9fqSAVUxlKkA1JAhQxgyZMhdxz388MM8/PDDdxxjZ2fH22+/zdtvv33HcfXq1eO7774rzDSFEEIIIYQQQohSlWYwBaCKvv+PvY0pAyqzyM9dUKbyOxuNFkedQ6nNQxSdMt8DSgghhBBCCCGEEOZS8wJQTkXc/wnAwZQBVYo9oJIzcwNQLvYuRZ7hJUqHBKCEEEIIIYQQQohyJjUrtweUk13RB6Dsy0AT8pSsvP5PdtL/qaKQAJQQQgghhBBCCFHOFGsJXl4GVEZO6ZXgJeVlQLnaS/+nikICUEIIIYQQQgghRDmTppbgFX1/JAfJgBLFQAJQQgghhBBCCCFEOXOzBK/oM6Ac8pqQZxuzyTbmFPn5C0IyoCoeCUAJIYQQQgghhBDlTJohAwDnYmhCbirBA8gspZXwUjLzMqDsJQOqopAAlBBCCCGEEEIIUc6kGvIyoIohAGWrtUWryQ0XlFYZXnJW3ip4UoJXYUgASgghhBBCCCGEKGfSsvKakBdDCZ5Goyn1RuTJeRlQeinBqzAkACWEEEIIIYQQQpQzN5uQF30GFNzsAyUZUKKoSABKCCGEEEIIIYQoZ4qzBA9uXQmvdDOgpAdUxSEBKCGEEEIIIYQQopxRm5DbFU8ASi3BK60AVJasglfRSABKCCGEEEIIIYQoZ9KycjOgnHVF3wMKwD4vA6o0AlDZxhzS8wJsrlKCV2FIAEoIIYQQQgghhChHsnIMGIzZQHGW4OVmQJVGD6iUvPI7jUZTbAE2UfIkACWEEEIIIYQQQpQjpgbkGjQ46OyL5Rr2pibkpbAKntqAXOeEVithi4pCvpJCCCGEEEIIIUQ5Yiq/c9I5oNUUz8f6mz2gSj4DytSA3EUakFcoEoASQgghhBBCCCHKkdS8DKjiKr+D0l0Fz5QBpbeTBuQViQSghBBCCCGEEEKIcsRUgudkV3z9kUqzCXlyZl4JnmRAVSgSgBJCCCGEEEIIIcqR1KzcAJRzsWZAlV4TclMJnqu9ZEBVJBKAEkIIIYQQQgghypE0g6kHVPEFoExNyDNKsQm5q51kQFUkEoASQgghhBBCCCHKkZsleMUYgJIMKFHEJAAlhBBCCCGEEEKUIzdL8IqvB1RZaEIuGVAViwSghBBCCCGEEEKIciS1JErwTBlQOSWfAZWS14RcMqAqFglACSGEEEIIIYQQ5UiaIQMA52IswXMo1VXwckvwXCQDqkKRAJQQQghxD7KTYkm/cJTspNjSnooQQgghKpm0rBJsQl6KJXh6yYCqUGxLewJCCCFEeZN0aBMx4fNAUUCjwbv3MPRNu5f2tIQQQghRSaSampAXYwDKoZSakBuNRlLzAmwu9pIBVZFIBpQQQghRCNlJscSszQs+ASgKMeHzJRNKCCGEECXGtAqes13xNSG3L6Um5CmGNBRyf86SEryKRQJQQgghRCFkxfwLeT8UqRQjhvioUpmPEEIIISqftKziz4AyNSHPKOEm5Cl5/Z+cdI7Yam1K9NqieEkASgghhCiEjCtnLTdqtOg8fEt+MkIIIYSolEyr4DkXZwleXg+oHGMO2cacYrvO7ZJMK+BJ9lOFIwEoIYQQooCMmWkk7QvPe6RRtzvWDcRW71U6kxJCCCFEpZJjzFEbgzsVYwmeaRU8KNkyvJSs3AwoV2lAXuFIAEoIIYQooIS/f8OYloTOqzo135iDR+dnAUg/f5iMf0+W8uyEEEIIURmkGzLUfxdnCZ6tjS02mtyQQUmuhKdmQEkD8gpHAlBCCCFEAWQnxZK4Zw0Anl1fQOdRFY9O/XAJ7AYoXF89C2NePwYhhBBCiOJiKr+zt7Er9h5JpdGIXM2AspMMqIpGAlBCCCFEAcT/tQIlOwt7vwCcAlqr270feQVbvTfZCdHEbvqhFGcohBBCiMogLS8Dysmu+LKfTNRG5Nkl14g8OS8DykUyoCocCUAJIYQQd5F14xLJh7cA4PXwi2g0N/s/aR2c8Xl8BADJBzeQFnGwVOYohBBCiMohNSs3A6o4y+9MTI3IM3NKLgMqOdOUASUBqIpGAlBCCCHEXcRt+REUI04BbXDwe9Biv2OdJuhb9gbgRtjX5KSnlPQUhRBCCFFJpBlyS/6ddcXXgNzElAGVWZIZUFmmHlBSglfRSABKCCGEuIP0i8dJO7cfNFo8uz2f7zjP4BfQeVYnJyWOG2FzSL9wlOyk2BKcqRBCCCEqAzUAVQIleKaV8EqyCbmaASUleBWOBKCEEEKIfCiKQtzm3L5O+maPYOdVI9+xWp09Pk+MBDSknfmHqCWTuTR7KEmHNpXQbIUQQghRGZhK8BxLoATPvjQCUKYMKGlCXuFIAEoIIYTIR+rJXWRGnUOjc8C90zN3HW/r6gUoNzcoCjHh8yUTSgghhBBFJlUtwSu5JuQlWYKXkmkqwZMMqIpGAlBCCCGEFYb4a8Rs/BYA97Z9sXVxv/sxcVctNypGDPFRRTw7IYQQQlRWN0vwir8HVEk3IVcURTKgKjDb0p6AEEIIUdYkHdpEzNp5mLKZtE6uBTpO51kdNBpQbsmC0mjRefgWwyyFEEIIURmlZeUGoEpiFTxTBlRGCWVApRnSMSpGAFwkA6rCkQwoIYQQlVJ2UqxZo3BFUchOjiP58J/ErJ3LraV0sRu+KVAZna3eC+/ewwCNus2791Bs9V5FPX0hhBBCVFKphtweUCUTgMrLgCqhHlCmBuT2tvbY2ehK5Jqi5EgGlBBClBMxCelcjUmhurcL3u7F/wNHRZZ0aBMx4fPUTCWdd02M6UnkpCZaPyCvjK4ggSR90+7Y6n24tvRDsLXHNbBbUU5dCCGEEJVcaayCV1I9oG6W30n2U0UkASghhCghdwsg3Wn/ut0X+PrnwyhKboXXiP5N6dGmdklNvULJToo1Cz4BGGL+zf2HRoutexWy46+ZH1TIMjrHOo3R2DmiZKWTdeNf7KvWKYKZCyGEEEKUbAmeg6kEr4R6QCVLA/IKTQJQQghRCPcaRNqw5yKzVx6yCCBlGXKITcxg3d8X+HXrObXoK6C2B472tiQkZxKXmEFS2s3fOikKzFl5mOYBVSQT6h6kRR4x79GUx6vnYFyDuqHV2edlSM0HxQgabaHL6DRaGxyq1yf9wlEyr5yRAJQQQgghioypBM9ZV/xNyO3zmpBnlHAJnjQgr5gkACWEEAWUXxApv/1DnmxC0AM+RF5JZPaKQ2pwSVFg1opDfBd2nOQ0g9Vrnb4Yf8e5GBWFqJhUCUAVUnbiDeL+/NFyh0aLc4NWaHW5P2Tpm3bHyb8ZhvgodB6+99TDyb5GAOkXjpJx5TT65j3ud+pCCCGEEACkGTIAcCqBEjxTE/ISL8GTDKgKSQJQQghRADEJ6WpwCW4Gkf46eAVbWy2ZWdkcjbjZpFpRYP6vR+94TlPwyVarIdtomZHzdLf6BNb3ARQmL9ptlrSj1YCvt/zHXBg5qYlELf0QY2oCNs7u5KQl3THDyVbvdV/Nwx1qNAAg88qZ+5q3EEIIIYSJoigl2oTcoZSakEsGVMUkASghhCiAqzEp1qq2OHT2xh2Ps9dp8XRzIComzWy7RgOTB7flgZoeZGRmM+h/G28LMGno09FfzXAa0b8pc1Yexpg3qGY1PV5uDvf3pCoRY2Y615b/D0PsVWz03tR46X+A5r4ynO7GPi8AZYi9Sk56MjaOrkV+DSGEEEJULhnZmSh5Pw+WSAleKWVAuUgGVIUkASghhCgAZwfLZWA1GnipdyP0znakpBv4ds1xbo1RaTUw753ueLs7smHPRTWApNVoGN4/iOYBVQFwdbIzCzCZ9t9aXtejTW2aB1Th0JnrzF55mItRSfy5/1+CW9Yq7qde7inZBqJ//pTMqAi0jq74Pvs+tnpvgGIJPJnYOLmi8/TFEBdF5pWzONVvXmzXEkIIIUTlYFoBz0Zrg52N5c+nRc2UAVVSTchT8pqQ6+0lA6oikgCUEKLCuVuj8MJSFIXlm8zLqExBolt7QDk76vINIpkCSFExqfh6O1vM6277AbzdHeneujbxyZn8EH6SBb8do2mDKnjqK28mVHZSLIa4q+g8q1sEk7KTYsmKvUzinjWkXziKxs6BagMnYuftV2Lzs68RgCEuiowrZyQAJYQQQoj7lpp1s/xOo9EU+/VMTchLLgMqtwTPxU4yoCoiCUAJISqUuzUKvxfbD17h76NR2Gg1TBrUBp2tzT0FkbzdHe8YELvbfpOnutZn15GrnLucyJyVh5n4ausS+QGkrMldqW4epi+2d+9h6Jt2t9wHoNFSrd/bOFSvX6JzdKjxAClHt0ofKCGEEADEpsUTlXwdX9cqeDl5lPZ0RDlkakDuXAL9nwAc8krwSm4VPMmAqsgkACWEqDCsNQqfs/IwzQOq3HMmVHxSBvN/PQLAgEcCaP5g1TuOL2gQ6X7Y2GgZPbA5o2ds5Z8T19h24DJdW9Qs1muWNdlJseYBJkUhZu1cYtbOyxtxe8MuBZ1XjZKcIpCbAQWQcfUsimJEo9GW+ByEEEKUDZsi/mLhvqUoKGjQMLTV8wT7dyjtaYlyJi2vAXlJ9H8CsC+lJuSSAVUxlamfhP/44w9ef/11OnfuTNOmTenbty8///yz2mQNICQkhICAAIs/ERERZudKTk7m3XffpXXr1jRr1oxRo0Zx/fp1i2seOHCAAQMGEBgYSLdu3ViwYIHZ9YQQ5Ye1RuFGRSEqJvWezqcoCnN+PkxymgH/Gm70f/iBIphl0ajtq2dgj9zgxvxfjxKflFHKMypZhrirWO0Kj4Jl8AlQFAzxUcU9LQt2VWqh0TmgZKZhiLlc4tcXQghRNsSmxbNg308oef9HKSgs2PcTsWnxpTwzUd6kZuX2gHKyK5kWDKYm5DmKkeyc7GK9lqIoahNyV2lCXiGVqQyo7777jho1avDOO+/g4eHBrl27eP/997l27RojRoxQxzVv3py3337b7Fg/P/OeHqNHj+bcuXNMnjwZe3t7Zs6cyeDBg1m1ahW2trlP++LFiwwaNIgOHTowevRoTp8+zbRp07CxsWHQoEHF/4SFEEXK18v6f1Q7Dl+hcT2vQpepbTtwmT3Hr2Fro2H0wGbY2pSpmD1Pd3uAXUeiOH8lka9XHebdl/MvxSvqvlhF5W7zym+/zrN6bo3lrUEojZbqL08F4Op3b1vs03n4FtvzyI9Ga4N99XpkXDxOxpUz2PlI03ghhKiMDkYdt9hmVIxcS7khpXiiUExNyJ1KKAPKIa8HFOQ2InexKb4QQmZ2JtnG3CCXq5TgVUhlKgA1d+5cPD091cft2rUjISGBb7/9ljfeeAOtNvfDn16vp2nTpvme5+DBg+zYsYPQ0FA6duwIQN26denduzcbNmygd+/eAISGhuLh4cEXX3yBnZ0d7dq1Iy4ujnnz5hESEoKdnV3xPVkhRJE7dznB7LGG3FyY8F0XyMjKYeQzTQscRIpLymD+r0cBGPhIAHWruxXtZIuArY2W0QObMWbGNnYfu0b4zkhqVnO1CNYUpC9WaQSo7javO+231Xvh3XsYMeHzQTGCRot376E4VK8HYHVfca54dycONRqQcfE4mZfPQF6PKiGEEJWH0Whkw7ltFtu1Gi3VXHxKYUaiPEtVS/BK5uc1WxtbbDRachQjmdlZxVoal5SX/aTT2mJvI5/FK6IyFYC6Nfhk0rBhQ1asWEFaWhouLgWLgm7fvh29Xk+HDjdrqv39/WnYsCHbt29XA1Dbt2/nkUceMQs09e7dm/nz53Pw4EHatGlzn89ICFFSDNk5fLMm97eLj3esS7sm1fH1dubg6evM/vkwW/b9S2JKJu+82AoH+zt/61MUhTkrD5OSbqCenxtPB5ed0rvb1a3uxoBHAvhp/Snm5QXMAB7y98TZwY4bCWlEXk1StysKzFpxiMNnblDbV08VTycuRiWx6s+z9xygiklI5/zlOFLSCp6Wba1f16wVh9hz7BqO9rYYcnLYdeRmyZy1fl76pt1x8m+GIT4KnYevWYDpTvtK2s0+UNKIXAghyrt7aSK+6fxfXEi4jE5riyEvu0ODhiEtn5PsJ1FoNzOgSi6j3cHWnlRDerH3gUox9X+yd66UC+xUBmUqAGXN/v37qVq1qlnw6Z9//qFp06bk5OQQFBTEm2++SatWrdT958+fp27duhY3rb+/P+fPnwcgLS2NqKgo/P39LcZoNBrOnz8vASghypHV289zLTYNT709Ib0b4ZgXZHqkTW3cXO359Id97D91nXfn7mRE/6akpGflG0xZuzOSf07klt6NGdi8zJXe3a5bCz9+Wn/KbNvx83F3PGb7oStw6IrFdlMg6MjZG9Ss5kpVDycuRCXxy9ZzaoBqyJNNeKRNbWy0GjbvvcScnw/n7gOG4EmfTncO2CmKwoY9F622cPrnxLV8jzP187r1a2ar98o3uHSnfSXJoUYDAAw3LmPMSEXrID0NhBCiPNpyfifz9y4pVBPxhPREfjryOwAvBD1FVMp11p3dSssaQdKAXNyTuLSE3H+UYIDGPi8AVdwr4SWZVsCzk/K7iqpMB6D27dtHeHi4Wb+nVq1a0bdvX+rUqcP169cJDQ3llVdeYfHixTRr1gyApKQkXF1dLc7n5ubGsWPHgNwm5ZBbzncrOzs7HB0dSUxMvOd5K4pCWlraPR8vKp709HSzv0XRSkjJZPmm0wAM7F4fJSeLtLQsdX/jOnref6U5ny4+xNl/E3jzi61A7v/bg59oyMMtc3vIbdl/hQW/n1ADI80a+ODjZlvm38+Xoqw3MH2sfS1qVnFm/u8nzdshaaBX21qkZmRz4WoSF6NTLI7ddtAyOAW5Aar5vx5VyxPN9gELfj9BXV9X6la/+b01NjGDqNg0fL2cSEzJ4vs/TnPqYoLF8RoN9Ovmj6O9LclpWfy67YLZfq0G3J21Zf7rYUGjw8atCjmJ10mMPIZ97SalPSNRSPI9XFRkcn8XTFx6ghp8AlMT8SU0cKuLp6N7vseF7l9GmiGdum416VSjFSdjzrHu7FYiYiNJTU2VLI9iVtHu722X9rDj0l4Awk5vwsfBky61ij9pwk6rAyAxNYk0h+L7OSw2OfcXqE62juXv571SUFbub0VRCvy9rMwGoK5du8aYMWNo06YNL774orp91KhRZuO6du1Knz59+Prrr1m4cGFJT9Mqg8HAyZMnS3saogy6cOFCaU+hUBLTsolLzsbT1RY3pzL77YLVe+JJz8yhuqcOb/sETp60HkB+up0b32+JUR8rCiz4/SQLfrf+ft136jq79x8t088dICUtW+13ZaLRQIMqWbg5GXm8tQdr/olXM5geb+1B87pGQEtibRdm/pZifizQ5kEXMrKMRMUbiI43FHguigLvzN1DdU8dD1R3wGiEHSeSLdals7XR4F/VjrNRmWbzeqhaFpAFHpDTxoPVe+LV59OntQfXr0Zy/eo9vUylysnJB/vE61w98jcZaWX7fhL5K2/fw4UoDLm/7+xi2lU1+GRiVBT2nthPLafqVo+JTLvMnquH0KChs2sLTp86TbbRgBYNcRmJ7D66F3ed5S/NRdGrCPd3UnYq311Yabbtu8MrcUi0QW9bvNnVSrYRgLORERivZ91l9L2LSMitVjJm5sjn6UIoC/d3Qftnl8mfgpOSkhg8eDDu7u7MmjVLbT5ujZOTE126dGH9+vXqNr1ez7VrlmUciYmJuLnlNhI2ZUiZMqFMsrKySE9PV8fdC51OR/369e/5eFHxpKenc+HCBerUqYOjY9lZgexONu29zKLVJ1HIK7vq24jgFjVKe1oWLkQlc/B87vL2w55uSkAt93zH5tjHATH57r+dooCrZw0a1rXsT1fWDMGThb+fwKjkZgoN7tuItnlfr4YN4dFOGVyLS6OapxNebg53Pdb0tY5NzGD49L/MMqi0Gpg+sh05RoW35uy2Wkp3Nc7A1TjrgatWD/rwcp8H8XZzIDYx/3k1bAh/7N+EIVthymut7vi1LetSMy+THHUct+xE6jZsWNrTyVdOchzZCdewda+GjWvZv+9LSnn8Hi5EQcn9XTBV031ZfvUPiyBU3Tr+NPCqazE+K8fAN1t/BaB73Y50a9zp5jHxtYiIv0iOh4aGNcvu/wkVQUW6v0/GnEO5YH7/KSjofd1p6F28nz3d4jYTnRlL1epVaVi9+O7ZU6cvQgxU96pGwzL881JZUVbu73PnzhV4bJkLQGVkZDB06FCSk5NZvny51VK6u/H39+fvv/+2SAWLjIykQYPcXhxOTk74+vqqPaFuHaMoikVvqMLQaDQ4OZXMspiifHF0dCzz90Z8Uga/bD3Hb9si1G2KAgt/P0nbJn4ltkJaQSiKwuL1B1AU6Ny0Bs0etP4bSBN/Pw0aDRbBlBljuoICo2duvW2fhro1vHByKjvPOT99Oj1A2yZ+RMWk4uvtbPF1cnJyoqav9YDCnY51cnJiRP+mzFl5GKOioNVoGN4/iPq1qwCY7TMFKjsE1WT/qWg27b1ktRfVf7o1oFbeXO40LwA7WxsM2dlU8dKX+ffOndjUeYhkIPvaeRwdHdBoyl5fsaRDm4gJn4cpJc279zD0smqfmfLwPVyIeyX39505OTnRrlYLdl3aZ7Z9zv7vmdB5OP6e5ot3rD76OzfSYvF0dOeFZk/hqLv5S5bGVQOIiL/IucSL9AjoUiLzr+wqwv1dx7umxTatRksd75rF/twc7XJ/NlRsKNZrZRhzs6s8nN3K/derJJX2/V2YUuIy9RNwdnY2o0eP5vz58yxatIiqVave9Zi0tDS2bt1KkyY3e2p07tyZxMRE/v77b3VbZGQkJ06coHPnzmbjNm/ejMFw87f04eHh6PV6tZ+UEBVZTEI6R87d4EZ8GqcuxDHtx/28+tEGs+CTiakBdFFfOybBes3y3fYD/H00imMRsdjZanmpT6O7XtPb3ZER/ZuizfsmmRtMaYp/DTf8/dys7AsqUwG3u/F2d6RJfe97mvOdju3RpjahEx/h49c7EDrxEbMV8kz7Jr3agtF9qxHcogYeege6t67N+OdbWvTH1Go0+HoXPE3c1jb3v6nsvNTv8squah00tnYYM1IwxEXd/YBikp0US/qFo2QnxarbctKSST62nZi1c7l1WcKY8Plm44QQorJLzcrtSfNIvc5MfWQCddz9SMxM5oM/Z3Ao6rg67nJSFL+f2gjAK82fMQs+ATSqkrtYx8nrZ0to5qIiiE65YfZYq9GW2EqKDrb2AGRmF1/5HUBy3ip4rtKEvMIqUxlQU6ZM4c8//+Sdd94hJSWFQ4cOqfsaNWrEkSNHWLRoEY888gg1atTg+vXrfPvtt9y4cYMvv/xSHdusWTM6duzIu+++y9tvv429vT0zZswgICCAHj16qOMGDRrEmjVrGDduHM8++yxnzpwhNDSUMWPGFLiGUYjyasOei8xeechq+VS9Gm6cv5Jo0bdHW0R9Mm+9tkYDz/V8kKD6PiSnZ5GSlsW+k9H8dSi30Y9Gk5tlc2vQA8CQncM3a3J/2PtPt/pU8ShY1L9Hm9o0D6hiNdvnTvsqO293x3xfD293R5zsPDmZEW2x3Vr2VGFeV9MKhIac8h2A0tjYYu9bj4x/T5J55Qx2XiVfzmqW4QTYVa2LMSOF7MQb1g9QjBjio8rESoJCCFHaMrOzOHH9DAC9HuiKn5svk4PHMn3nAo5Gn+LTv75maKsXaFwlgJm7Qskx5tC8ehNa12hqca4A73poNBqiU2OITYsvkQCCKP9WnQgHoHPtNnTzb081F58Su3fsbXM/G2fmFO8qeMlZub/sdrWXAFRFVaYCUDt37gRg6tSpFvs2b96Mj48PBoOBGTNmkJCQgKOjI82aNWPKlCkEBgaajZ85cyaffPIJkyZNIjs7m44dOzJx4kRsbW8+5dq1axMaGsrUqVMZMmQInp6ejBo1ildffbV4n6gQpSwmId1q8KlDkC/9ujWgfk13Nuy5qAYOTGYsO8jnIzvhoXfgXt1+bUWBJetOsYRTVscrCsxacYhTF+PoGFSDxv5eJKVmsXTDaaLj0vDUO/B0twcKNYe7BVMk8FR07jeopzNlQJXzABSAfY0GZPx7kozLZ3AN7Fai185OijULPgFkRUeq/7Z1r0J2wnXzgzRadB6+JTVFIYQo045fP4PBmI23kyc19NUAcNI5MqHTcL7eu5gdF//h639+MDumYV6g6XZOOkfqutfkfPwlTt44S8farUvkOYjy63RMBEejT2Oj0TKgyeP4OJfsL4ccbHIzoDKyizcAlZJpCkAVb1N1UXrKVABqy5Ytdx0TGhpaoHO5urry8ccf8/HHH99xXPPmzVmxYkWBzilERXE1JsVq5tNj7f2pX9MdMA8cODnY8ukP+4iKTeWDhX/zyRsdcXbU3dO1/z561eq1PfT2eLk5gqJw7rLlKnYb91xi455L2NpoyM65eYIWD1bB0b5MfSsTt7mfoJ4pA6q8l+ABONRoQCKQeeVMiV/bEHcVa288z+4vow8KRuvgnJchNR+U3Nfa0b+pZD8JIUSeg1HHAGjq+5BZUMnWxpYRbV7CydaBDRHbzY5ZenQ1HWu3tpql0tDnAc7HX+LEjXMSgBJ3tep4bvZTlzptSzz4BDczoDKKuQQvKUtK8Cq6MtUDSghRMqp7uxSoN4+pL1A9P3emDGmHu4s9kVeT+N+3/5BlyCnUNRVFIWzHeRb9fsxin1aj4Ys3uzBjdBfee6WNxdw0GujUtDruLvZmwSeAzXv/vWOfKFG+qSV4FSAAZV8jdxGMrBuXMGaW7D2r87TSoF+jxaVhe7QOue97fdPu1BoxD4/OAwFIv3AEQ7zlirJCCFHZKIqi9nhq5vuQxX6tRkvbms0tthsVI9dSrJc5Sx8oUVDnYi9w6NoJtBotTzZ6tFTmYK/2gCqZDCgXyYCqsCQAJUQlZOrNY6LRcNfePL7ezkwe3BZHe1uORsTwxU8HiI5Lu2ujcICMrGxmLD3A/F+PYlSgvp9bvs2+rTUKH9G/Kf8X0orxL7SwOHdRN0cXZYttBSrBs3X1xFbvDYqRzKiCL1dbFBQlB7glsqvR4t17qEWGk63eC/eO/XCsGwQ52cRu/K5E5ymEEGVRVMp1olNjsNHa0KRKgNUxvq5V0GD+GzStRks1Fx+r4xt61wfgSvI1EjKSinbCokL55cQfAHSs3Srf+6m4OZh6QBVjBlRWdhaZObnn10sGVIUldStCVFI92tTmh7UnSEzNYvJrbWn+4N1Xnazn5857r7Rm8sLd7DxylZ1H7twoPCYhnWMRMazYfIZ/o1PQajW80qcRfTvXIzYxI9++QPn1Darhk5u5dWslUWFXVRPli86m4gSgAOz9Asg+EUPGlTM41mly9wOKSNK+PwAFh5oP4tHlWXQevvmW12k0Grx6vMrlhWNJO7uXtIiDONWTlWGFEJWXKfupkU99HHTW+2B6OXkwtNXzLNj3E0bFeNcVylzsnanlVoNLiVc4deOc1QwqIS7E/8u+q0fQoOGphqWT/QQ3V8HLKMYm5KYG5DYarcXKkaLikACUEJVYelZuGV2NKq4FPiboAR8GP9mYuauOqNsUBWavOMSN+DRqVnXFQ+/Aycg4flx3Ug0WOdrb8P6rbWlS3xu4e18ga/uLYlU1Ub7c7AFlpXFYOeRQowGpJ3aWaB8oY1Y6yQc3AeDe7ikcaze+6zF23n64texF4j9hxG78Bsc6X6Cxube+b0IIUd4dzAtANa125++fwf4dCKrWiGspNwq0Qlkjnwe4lHiFE9fPSgBKWLUqL/upXa0WVM9rfl8a7G1MJXjFlwGVrJbfuVht3i8qBglACVFJGbKNah8nZ4fCfSvwq2KZFqsAyzbm/6E6MyunSDKV7ndVNVG+mFbBM1SUDKi8PlAZV86gKEqJ/ICVfPhPjJlp6Dyr41i/4JlMHp2eIeX4Xxhir5K4Nxz3tn2LcZZCCFE2ZWZnceJ67s831vo/3c7LyeOugSeThlXqs+7cVk7ekD5QwtK/iVfZc/kgQKlmP8GtTciLMwPK1IBcKhsqMukBJUQllZZhUP/t6FC4zAZrTcw1QJtG1WhczwsvvWXarFGhyHo1mZqjS/Cp4rOtaCV4VeuCjS3GtCSyE6KL/XqKYiRx71oA9K0eQ6Mp+H/7WgdnPLu9AED8XyvITo4vljkKIURZdvz6aQzGbLydPKlRxBkoDX1yG5FfSryqNl8WJSc2LZ5j0aeJTSub/7+Zej+18WtGLfcapToXhxJoQm7KgHKVBuQVmgSghKikUvMCUI72tthoC5eFYbVR+DNNmTioDZ+80ZFpb3Yu0Cp7QtyNrW3ujVQRVsED0NjqsK9WD4CkQ5vIToot1uulnd1Pdvw1tA4uuAZ2LfTxLoFdsfetj5KVQdzWH4t+gkIIUcap5Xe+DxV51qq7g54artVQUDgVU7KLU1R2W87v5I017/Hh1pm8seY9tpzfWdpTMnM1OZpd/+4H4OlGvUp5NjczoIqzBC9FzYCSBuQVmQSghKikUtNzA1CFLb8z6dGmNqETH+Hj1zsQOvERswbk1gJU0qtJ3IuKlgEFoLXL/S1i4q5fuTR7KEmHNhXbtRL/CQPAtVl3tHaFb+ip0Wjx6jkIgJQjW0k9s5f0C0fvKXCWnRR7z8cKIURpUBRFbUDevADld/eioU/uangnrksZXkmJTYtn/t4lKOT2l1RQWLDvpzKVCbXsyO8oikKTqg9Sx6NmaU9H7QFVnE3Ik9QeUPIL64pMekAJUUmlpWcD4Ox4742F79RIXHo1iaJwswl5xQhAZSfFkh559OYGRSEmfD5O/s3yXZXuXmVeiyTj4jHQaHFree+/PXWo0QCXwG6kHPmT6JVTczdqNHj3Hoa+afcCnSPp0CZiwuflrlhQyGOFEKK0RKVcJzo1BlutLY2rBBTLNRpVeYBN53dwQvpAlZio5Otq8MnEqBi5lnKjwP27itNvJ9axO6/307Ho02w5v5Ng/w6lOicHXfE3IU/JlB5QlYFkQAlRSaXkleA5FbL/U2FIryZxv0xNyCtKBpQh7irc9kMvipH4v1ZgiItSNxVFtpCp95Nzw3bY6r3v+TwA+tsDWIpCTPg8DIkx6qbb56woRjKuniNmfSgxa+eiLomZF3STTCghRFlnyn5q6FMPh2JaFt7UByoy4V/SDOnFco2yrDT6MPm6VuH2YkoNGqq5+JTYHPJzOuY8Px39XX1cVrKzHGxu9oBSlOJZmTgpy9QDSkrwKjLJgBKikkozleDdRwaUEMVNZ1OxVsHTeVYHjeZmMCZP8qFNJB/ahF2VWti6VSXt3L77yhbKTokn5fhfALi17nPf81Yy06xsVLiyaCyOdYNAa0PqiR15z0uDfa2GZMdFkZOSzw/MihFDfFSRZ30JIURROhh1DICm1RoX2zW8nDyo6uxNdGoMp2MiaOZbfNcqa7ac36mWwmnQMLTV8yWS6ePl5EGVvNfcxMPRDU9H92K/9p2ci73A1O2zLbaXhewsUw+oHMVItjEbnU3Rf36QDKjKQTKghKikTE3InYsxA0qI+2VrW7FK8Gz1Xnj3Hgam1eg0Wlwad8kN4mi0ZF2/RNrZvfedLZS0fz3kZGNfIwCHGg3ue95q4Ow2xoxUUk/uIvX4X7cE1RQyL50gJyUejZ0DjvWaw+2/a9Zo0Hn43ve8hBCiuGRmZ6l9mZoVU/8nk4ZVcrOgTt6oPI3Iz8ZEMm/vj6XSh+lq0jWiU2PQoGF465ew0+qIS08o1TLIvVcOM/nPL0i1kgWn1WhLPTvLPm8VPCi+MrxkyYCqFCQDSohKKjWvB5STo3wbEGWXbQXLgALQN+2Ok38zDPFR6Dx81SygnPRkEnb9SuLu380PUIzEbV+BV/AL2Di5kp0UiyHuKjrP6lYziLLiotTyO7c295/9BDcDZzHh80ExgkaLd8/X0PnUJPnwn6Qc2WJxjEe3F3Bv3QeNrS6vB1TesYDW3hmtvVORzE0IIYrD8eunMRiz8XHypIa+WrFeq5HPA2yN/LvcNiKPTYsnKvk6vq5VrGbpmPa7O+g5ExvJXxf3cPz6GYtxJZXps/XCbiA3sNilblvOxkayIWI7f5z5k4eq3P8vbQor/MwWvj/4MwoKzXwfoplvY747uBKjYkSr0TKk5XOl3pvKVmuDjdaGHGMOGTmZuFD0WUrJpgwoaUJeocknTyEqqbS8DCgXKcETZVhFa0JuYqv3sgge2Ti64tbqMRL3rLYo0Us5vInU49uxq16fzH9PWi3PUxQjSfvWEbvhG0x9powZqUU25/wCZzr3qqQc/dN8zhotro07o7HVmR2bef0CMeHzyUmOJW7rT3jnrbAnhBBlzcG8/k9NfR9CYyUDtCg1yusDFRF3gYzsTBxuyTYxuVuQp7TcXkbX76HeNPNtTFaOgawcA/uvHmHDue0WTb+tKYk+TEajke0X9gDQtW47AB59oCsbIraz9+phrqfGUsW5+MvDY9PiuZoUzV8X/2Hrhb8B6F6vE4OaD8BGa0OrGkFcS7lBNRefMvP1drCxI9WYXvwZUFKCV6FJAEqISiolvfibkAtxv2xtc3/oz84pnoaXZY21TCOXwK5kXYskKzqSzEsnbg5WFGLWziVu61IUQyZKlmXafswfC3Cq17zIei1ZC5xZzY7qPdTqOFu9F5o+w7m29EOS9v2By0MdcPB7sEjmJoQQRUVRFLUBeXGX3wH4OHvh5eRBbFo8Z2MjaVLV/PtiUfRKKmiWUkEDXIYcAzsu7mXe3h/VbQoKK4+vZeXxtXc8tu+DPehZvwtHok+yYN9PGPOyY72cPIq9D9OR6FPEpSfgYudMi+pNAPBz8yWwakOORJ9kw7ltvBD0VLHO4davp8nzgf/hiQcfUYOdXk4eZSbwZOJg60CqIZ3M7MwiP3d2TjbphgxASvAqOglACVFJmTKgpAm5KMtMTcgryip4BWEt00hRFBL3hhG38TuL8cbUhPxPVkLNvvPLjrLGyT8Il8BupBz5kxthX1PjtWlo85qbCiFEWRCVcp3o1BhstbY0rhJQ7NfTaDQ09HmAHRf/4cT1s2YBqNi0eLNghalXUlC1RgUOUNwpgGVUjGyO2MGi/cvyDXCZglPeTh5cTrrG7n8PsPfqYTVgcDs3e1ec7ZzIMeaYNfo2aer7EN7OngT7dyCoWiMi4i7y5d+hxKTFcTT6FIHVGhb4tSssU7ZRx1qtzBpp92rQjSPRJ9kcsYN+Dz1mNQutMKwF9FIyU/nnyiGzoB3kZn51rN2q2DPt7pepEXlGMWRApWTdzNjOMGRKEKoCkwCUEJWUqQeUs4N8GxBlV0VrQl5Qt2caaTQaXB5sT9ym728rddNQ7ZkJ6Dx9MWZlcuWbtyxK4Uqq2be17Kj8eHV/ifSIgxhir5CwYxWeXZ8t5tkJIUTBHbyau/pdQ596OOgcSuSajfICUCdvaYSdlpXOqhPhFuVrRsXI6RsRtK/d8q7njUmNswhgzdv7I9/sX06OkkOOYv7/q2n/+rPb8XByIyUzlTOx562e283BlcSMZLNtWo2WqT0mqBldb6x5z2z+tzfUNmX6dK/XiT/O/smvJ9cVWwAqJSuVvZcPATfL70ya+T5EVRcfolNusOPiP3Sv1+mer3N7wO+hKg1IykzhUuIVq+MVlFJf5a4gTAGozJyiz4DadH6H+u8Ra98vsRURRcmTVfCEqKRSJQNKlAO6CtiE/F5ZW0HPu/cwnOq3QOdZHftqda3styyFKwtsHF3xevQ1ABL+/pXM6AulOyEhhLjFoWum8rvGJXbNRj71ATgdE8GpG+f48fAvvL7mXTZF7LA6/ut/fuC3k+vJzsm2ul9RFI5cO8lH276y2n8py2iwCD7dKjLhEgeuHrUafOpapx0fBo9j/hNTGdbqBbR5/+/c3jDby8mDoa2ez3f/rR4P6I6NRsvx62c4GxuZ77zux65L+zEYs6nlVoO6HjXN9mk1Wh6t3wWAP878iaLcvfQ/Ni2eY9Gn1ZX7kjNT2BTxl8Xqfseun1aDT9WcLXtclYVV7grClBWWUcQleLFp8aw8drNssyRXRBQlT1IfhKikUvN6QDlLDyhRhqmr4FWyDKj83K3UrTClcKXN5cF2pAS0Ie30HmLWfk31lz9Bo7Up7WkJISq5qKTrHIs+DeSWipWUkzfOAZCjGJm0Zbq6vYa+Gg941mH7xT0YFUVt1B2Vcp2fjvzGtsjdDGoxEF/XKmrJV3RKDMuPrTHLprqVBg0fBo/Dx9mLpMxk3t7wiVmQSoOGwS2f5WpSNGFnNlsc36VuWx7MC5iZyujya5h9t/0m3s6edKrdhq0X/ubXk+v5v47DCvcCFsC2yNzyu65121otd+tWtz3Ljq3h36Qojl8/TeOq+fcovL2Pk7ejB7HpCfk2W+//0GM8Ur8z7g56tpzfqfa+Kiur3BWEvU1eBlQRl+BFxv9rNcuvPGSFicKTAJQQlZSpB5STlOCJMkwtwZMMKNXdSt0KUwpX2rx7DubyxWNkRkUQv305jnWaoPOsXm7mL4SoWG4PKpy+EYGfvvjLmGPT4lmw7yeL7a+3fpEuddqg1WgZ0OQJNYjj6ejOXxf/YfGhVVxJvsaHW2daPa+t1pYe9Trh7eTJj0d+NQt4BPjUA8DTyZ2hrZ63CIgE+3cgNi2etWe23LGEDu7eMLugDbX7NuzBtgu72XflMJcTo/BzK7rX/mpyNGfjLmCj0dKpdmurY5zsHOlapy3rz20j/OzWfANQ/yZetejjFJOem61TzaUK11Kum+3TarQE+3fA3UEPFDwoV9bYF0MGlNFoZO2ZLRbby0tWmCg8+eQpRCWkKAqpGXk9oKQET5RhtpWwCXllYuvqgefDLxGz9msSdq4iYecq0Gjw7j0MfdPupT09IQqssCuIlZVzV1a3v6YJ6YlsvbCbn478ZjZu4f6lNPV9qNhf96jk61YzZ6o4e6nla7cHcTrXaUOL6k347uBKtl3YbXFsp9qteS7wSfWYdrVaFDpLyVRCV1LZOjX01WjlF8Q/lw/x26n1jGjzcpGde8e/e4Hcskq3vECQNY8+0JX157ax/8oRrqfEUMXFW91nVIxsjfybHw79bPXYce0H06Zm8wJlOJXFVe7uRu0BVYQZUMuOreb49dPYaGwwKkYUlHKVFSYKTwJQQlRCGVk5GI25P+hICZ4oy3SVtAl5ZeJYN8h8g6IQEz4Px9qN0XlUUzdnJ8ViiLsqGVKi1OQXCLrTCmN3O/ZuCnJuYelOr/ftWU5VnL25kRprNQBUUmVAvq5V0KC5a6bR7ZztnOhSp63VAFSwfwezed9rllJJZ+v8p+Gj/HP5EDsv7mVA48fxcb7z9/uCvLeMipFdl/cDls3Hb1dDX42gao04fO0E685t48WmTwNwJuY83x5YQUT8RavHaTVa6nvVBcpvhtPdmHpAFVUT8l2X9vPbyfUADG/zIg19Hqhwr5mwJAEoISohU/mdjVaDvZ30XBFll2RAVXzZ8VGWGxWFywvH4dywLc4PtiMnKZaY9QtzV/iTDClRCjac3UbogeX/396dh0dV3v0f/5xZEhKys+9JWMMOsgqiuIBE1LqgVWv7VIo7im2fn0rd2yrto9Uqtgpi3aug1opGREFBMaLILjsh7AGykD1kmfP7I8yEmASyzMkseb+uq1fJOWfO3BPvLPPJ9/7enoCgV1wPhTvDlV2cowN5GZ7r3DuIHSnIVFK73uoR00VrD23SvDVvNThEyirKqbF72Yvfv6khHfvz5uw0fhraXdH/YnWP7qKjhZnae/ygVu37vtr1RwszJUnxMV2VfvxAtXPNtQyoKZVGjQ2vGjq+5ppzPeN6aFCHftp0ZJsWb/tcN511bZ3X1jeg3VN0UMdP5CkyNELD69FYfkrv87QhY4s+3/214mO66vuD67X65O55Yc5WmjZgqkIdIVrww9t1/vcKxAqnM6lqQt70Cqj0nAP653evSapsQD/+5LLIYPucoaZ6B1BLly5t8M0nTZrU4McAsF5Bsbv/k7PWJoyAv3DShDzoOeM6S4ZRGS6dwiwrUcHGL1Ww8cvqDzBNZaa8qPDEYVRCwXKmaeqz3V/ppbVvVzu+K7v2Kgi3/2xdov9sXVLzfid3d6pPiFTbsixTphZu/kgzRlwvB037a6gttHt/yydnfNw9Z8/Q2HounbJKY6tmmnuZXHO4ImmyNh3ZpmV7VumqAVNqXTJ3rDCrxn/rur62NuXvkCSd032kHPYzv/0d2mmAokIjlHeiQHNXv+I5fl7CWF0/+GeeXk7DOw1sURU77ibkTe0BlXeiQP/39T91oqJUQzom6YbBV3hjeAgQ9Q6g7rrrLs8b1fpsS2kYhrZu3dr4kQGwTFFxZf+nCPo/wc/RhDz4OaLaqG3yrcpMeVEyXZJhU9spN8vZposKt6aqYPNXcpXkV3+Q6VJZzmECKFhqT85+vbJuoWd3sp/6WdJkdY3qpOdXv1pjB7FhnQbqSMExHczPqPG4+i7r6hTZvtbjX+z5Rnty9um2Ub+ssZV8S1ZUWqxX1y2qdSldt6hOio/tpsjQ1vpkx5c1qoX6+MnSqcZWzfh63N42oH1f9Yzrod3Ze5Wy4wtdN/jyaud3Zu2p8XUnVX5tbT22S+N7jPQcKygt0q6CysD4vISz6/X8OcW5yj9RUO2YIUPXDrzUEz5JwVnldDruJuQnmhBAHS3I1JOrXtSxomx1iGinu8dOl81m89YQEQAatAQvNDRU5557rqZMmaK4uDirxgTAYoXuHfDCWIUL/+awV/7ho6zizH/4QOCKGnqhwhOHqSznsJyxnTzBUlj3/ooec5n2z71NOvWNhmGTM9b6nanQsrh7ybR2hmnJrhX6ck+qTJly2hwqc5VXu9Zm2DS517lqEx6rcld5rTuISdLhvKOa9ckjjVoeZciQzbDJZbo8jzsvfoy+O7hB6ccP6P7P5ujyfpN0XsJYZRXltNgm5ZWNob/Vvzd+oNwT+TXO2wybZp870/O56R7d5bTVQoEaKgTquGtjGIauSLpYT656UZ/s/FJ92iYoPqabbIZNb238oNaeV27Pr35VaTn7dGXSxYoIba3le1epQi51juig+Niu9Xr+yurD6kyZzdIPzJ+1amIT8uVpq6rtHnhu/GhFhLT2ytgQOOr97vPll1/W4sWL9dlnn2nZsmUaO3asLr30Ul144YUKDw+3cowAvKzw5BI8GpDD33l6QLEEL+g5otrUWtHkjG6ntpfcqsyUFzzL9GLP/TnVT/CqnzamdhvXfYRuGHKFNmZsrTO0OF31Saeo9ieXR70p18n5O677yHq9if1w+2dymS71iovXDUOu8Nz75yWX6+Uf3tG3B9ZWW+oXaE3Kz9Q8+nTn3eeKy0r0/pZPPI2hO0W217COA7Rk14o6A6ZgqxYKViO6DFZMqygdL8nTX776pyTJYXOo/GQYfF78WHWP7qw3Nv5HLtMlQ4Y6RbbXofwj+mj75/oibZUGdUjStwfWSpIOFRzR8rRV9fr6aI6+WoEo1N74JuQHcg9XC58k6d0fUzQx4Wy+BluYegdQZ599ts4++2w9+uijWrZsmT7++GP94Q9/0MMPP6zzzjtPl156qSZMmCCHg4oKwN+5K6BaswQPfs7JEjyoskIqLGGojrz7V5Vm7FZx2gbFnH2FDIOyfTRdZmF2reHT78fdolFdh0o6c2hxuuoT92M/2PqpPt21QhsyflRRWbHCnWF1jim3JE+f7/5KkvTzQZdpQPs+nnMxraL023Ez9PnurzRvzVue4w3pL+VrP20e/cuhV+uszgNVWFaswtIirT6wTp/v/kqmJEPSuQljNbB9X9kMm7Yc3allaV9X++8V5milqwdcoim9z5PD7tCl/S46bcAUTNVCwSqnOFe5P1l+Xe4qV3xMV80Ycb16n1w2Obb7WZ7/1nFhMdqQsUVvbPiP9uUe9IRPbvX9+gjGvlre0MrZuCbkm49s0zOpL9c43ly7TMK/NDgtCgkJ0ZQpUzRlyhTl5+dryZIlWrx4sWbOnKmIiAg9/PDDSk5OtmKsALyk0NOEnMAY/o0eUHBzRrdVh6t+pwPz7lHJvh+Vv36ZooZd5OthIcDtO35Qc2vpJSNVbnF/qqaEFm3CY/WrYdO08chWHc4/qg+2fqrrB/+szus/2r5MpRVl6hUXr0Ed+tV6TceImj2iAuENXW2Nwl9dv0ivrl9U6/WmpC/3pOrLPal13vOR8+9RQmx3z8cETIGvtib8knTj0Ks84ZNU87/10E4DNLhDkv696b/677bqm2g15OuDSrmaPBVQ9ewBdaK8VG9u/I+W7Pyy1vNUlbVMTXr3GRkZqSuuuEJxcXFyuVxas2aN0tLSvDU2ABYpKqksX6YCCv7OwS54OIUzpoNiz71O2Z+/ouxlrym811lyRNKTEvVz6pIup92phZsX67PdX9W6uY4Vb4wcNrtuHHKl/vr1C/p4+zJd1PMctWtdcylpwYlCfbprhSTpyv5T6tytNlCXCdUVLITYnIpsFSG7YdfRwswa5xNju8tlmko/vr/GuaKyEkvGCt+pa353juxwxsfabDZd3Ps8fbjtsyZ9fRBkVufuAXW6XfBOXR77xob3dbjgqCTpop7nqHt0Z/1r3SKqylq4RgdQq1ev1kcffaSlS5eqoKBAI0eO1J/+9CddfPHF3hwfAAvQAwqBwmmvqoAyTbPON2JoOaJHJqvwx6914vAuZX76kjpe/f98PSQEgOpLviSn3anSisqfhaO7DlPP2B56e/OHlr8xOqvzYA1o30c/Ht2htzZ+oLvHTq9xTcrOL1RSfkI9YrrqrM6D6rxX1TKhqv5S0wZc4vdv6Grb3c9m2PT3Sx5Vm/BYZRXl6PbFf6gRHPzv+FslqdZz/h66oeGaugzup18fNsMg8Giiql3wal+CV1svvbiwGN068kYN7dRfkjSiyxCqylq4BgVQmzZt0scff6yUlBQdPXpUAwcO1G233aZLLrlE7drxjR8IFPSAQqBwL8EzTcnlMmW3E0C1dIbNrraX3KaDL/8/FW1frYJtqYroN9bXw4Ifq7nkSyqtKFOXyI76zYjrPP2VzokfZfkbI8MwdOOQq3T/Z3O0at8aJfc5v9pyoqKyYn2yY7kk6cr+F58xdHcvE3ry6xe1O2evbAHQF61NeKzahscpsyhbkmoEC2cKHujN03I0dRnc+Ynj1Cc6Qd9v+UEj+5+lrm06WzTSliHUXQFVSxPyw3lH9eL3b9SobfzDuTPVLbrq805VGeodQE2ePFn79u1TQkKCrr32Wl166aXq3r37mR8IwO9UVUDRAwr+zb0ET5LKKlyy2/3/zRWsF9ohXjFjf6bjq95T1pKXFNZjkOxhEb4eFvxUXUu+bhp+bbXm3s31xigxrrvOjR+jL9NT9dq6d/XYBb/3BE2f7lyhwrJidYnsqNFdhtXrfm3CY3V+4jjt/mGvvju4Xlf09+/VCEWlxcoqzpEk3TN2hvq0TajxeT9d8EBvnpalqV+XcWEx6h7eWXFhMd4bVAvV6mQPqJKyE8oszFbb1nE6UnBMn+5aqc93razlu6yUd6KgeQcJv1fvd5979+5Vq1atZLfbtWTJEi1ZsuS01xuGoQ8//LDJAwTgffSAQqBw74InSeUVtf1qg5YqZvzVKtyWqrKsQ8r8ZJ6ihl8kZ1xnOaJq9tRBy1bXkq/OUWfuJWOVnw+6TKn7f9D2rDStPrBOY7oNV0n5CX20Y5kk6Yr+F8tmq3/gPrLLYL30w7+1O3uvsopy/DqU2Za5W6ZpqkNEO43tPrzO604XPFBFATS/1QfWSarcOOCOjx5Q9+jO2pd7qNaAX2J5LGpX7wBq5MiRVo4DQDMq8OyCRwAF/2a3VS0/KacROU5hc4SobfJtOvz6gyrcukqFW1dJhqG2ybcqauiFvh4e/EhhaVG1Zsb+sGwrLjxGl/a7SO/++LHe2PC+zuo8SJ/v/kr5JwrUoXVbjes+okH3iwmLVp82CdqelabvD27Qxb3Ps2bgXrD12E5JUlK7Xj4eCYD6yirK0SvrqnaqNGVqb+5BSdKQjkm6uPdE5RTn6qUf/s3yWJxWvQOo119/3cpxAGhGRSU0IUdgMAxDDrtN5RUudsJDDc6Yn1SwmKYyU15UeOIwKqEgSTJNUwvWvi1TpoZ27K/Lkyb7zbKty/pdpGW7v9bRwiy9s3mxlu1eJUn6WdJk2W32Bt9vZNehJwOo9X4dQG05GUD1b9fbxyMBUF91LWW+Y9SvdG7CGM/HwzoNYHksTotmGkAL5OkBxRI8BACno7IKqryCAArVlWUfqnnQdCnz0/k6cbhymY8kledlqTh9k8rzspp5hPC1r/Z+p63HdinUHqKbR9ygAe37+M2bolaOUP180GWSpA+3fabCsiJJ8uxo11CjugyRJP14dKcKThR6Z5BeVlJ+QmnZeyVJ/U/pvwXAv3WKbC9D1TdFsBk2DezQt9qxNuGxfvV9Fv6n3hVQhw7V8kveSYZhKDQ0VLGxsWyRDfi5igqXSkorJEnhNCFHAKhsRF5BAIUanHGdJcOo3CbxFEU7vlfRju8V0r6HnG27qnDrN5XXsESvRSksLdLr69+TJF01IFltW8f5eEQ1DWzft8axBWvf1vDOAxv8Bq5jZHt1i+6s/bmHtPbwZk2IH+2tYXrNjsw0VZgutQmPVbtw//vvAaB2Z9qdEqiver/7PP/8888YLrVq1UrnnHOOZs2apcTExCYPDoD3FZ0o9/ybCigEAvdOeARQ+ClHVBu1Tb5VmSkvSqZLMmyKGpmsioIcFW3/TqVH96r06N6qB7BEr0V5Z9Ni5Z7IV+fIDpra5wJfD6dWRwozaxxzmS5lFBxr1Bu7UV2Gan/uIX13YL1fBlCnLr/jj9ZAYGEHSnhDvQOo//3f/z3tD4ri4mKlpaXpyy+/1Lfffqt33nlHCQkJXhkkAO9xL78LDbFX2+Ie8FfunfDoAYXaRA29UOGJw1SWc1jO2E6eYKmiuEA5Kxcqb83H1R9gulSWc5gAKsjtydmvT3evkCRNP+vnctj9s+LXvazl1N4qTdk5alTXoXpvS4rWZ/yoE+WlCnWEeGuoXrGV/k9AQGMHSjRVvX8aT58+vV7XHTp0SFdeeaWef/55Pfnkk40eGABrePo/0YAcAYIKKJyJI6pNjUDJHhahmLGXK++HlBpL9HK/T1FI+3jZwyKac5hoJi7TpZd++LdM09TZ3c7SoA79fD2kOnl7WUt8TFe1C4/TsaJsbcjYolFdh3p3wE1QWlGmnVnpkqSk9gRQANASef3PQZ07d9Y111yj999/39u3BuAFhe4d8ML886/BwE85qIBCI9VYoneygWrR9tU6cHCH2iXfpvDeZ6k8L0tl2YfkjOtMZVQQ+HLPt9qZtUetHKH65dCrfT2cM/LmshbDMDSy61Cl7Fiu7w6u96sAalfWHpW7yhXTKkqdItr7ejgAAB+w5B1o165ddfz4cStuDaCJCosre0CFUwGFAEEFFJrip0v0yvOzdGzxcyrLOqSMhY8rtGs/nTi4nSblQSCrKEdp2fv0+obKxuPTBkxVXHiMbwdVT95c1jKqyxCl7FiuHw5tUoWrQnab3Sv3baotx3ZJov8TALRklgRQBw8eVExMjBW3BtBEniV4NCBHgHC6AygqoNBIpy7Rc0S1UZfpTypnxdvKXf2hThzYVnUhTcoD1vK0VXrx+zc9vZRiW0VrSp+JPh6Vb/Rr20uRoRHKP1Ggrcd2aqCfLEHcemyHJCmJ/k8A0GJ5vQPx4cOH9c4772j0aP/beQOAVFRCDygEFvcSvPIK8wxXAvVjc4aqzYW/UptJtfS3PNmkHIEjqyinWvgkScdL8pRbkufDUfmOzWbTiM6DJUnfHdjg49FUKq8o1/bMNElSf/o/AUCLVe8KqH/961+nPV9SUqI9e/boiy++kCTdeeedTRsZAEsUllQuwaMCCoHCXQFVxhI8eFnrvqOVtXRB9YOGTc7YTr4ZEBrM5XLp891fVQufJMmUqYyCYy12t6ZRXYfqiz3f6PuDG/Tr4df4fMlbWs4+lVaUKTI0Ql2j+PoCgJaq3gHUX/7ylzNeExYWpnHjxumee+5RQkJCkwYGwBpVu+DRhByBwVMBxRI8eJkjqo1aJ41V4dbUygOGTW2Tb2H5nR/LKsrR4fyjahseq81Hd+jDbUuVUXCsxnU2w6aOEe18MEL/MKhDP4U6QpVVnKO0nH3qGdfDp+PZcmynJCmpbS+fh2EAAN+p9zvQZcuWnfZ8aGio4uLiZLN5fVUfAC/yLMGjAgoBwmGvfLNCBRSs0KpbfxVuTVWr7gPU/vK7CZ/82E/7PLlFhLRWv7aJWnt4s1ymKZth080jrm+x1U+SFGJ3aljHAfr2wFp9d2C97wOoo5X9n1h+BwAtW70DqC5dujToxrm5uYqOjm7wgABYq+BkBRS74CFQOGhCDgsZjsrvhbbQcMInP1ZbnydJuqp/si7vd5FaOVspqyhHGQXH1DGiXYsOn9xGdR1SGUAdXK/rBl/us3FUuCo8/Z9oQA4ALZtXy5VKS0v1ySef6Pbbb9f48eMb/PhPPvlEt912myZMmKChQ4fq8ssv17vvvivTrP7LxqJFizR58mQNGjRIl112mafv1Kny8/M1e/ZsjRo1SsOGDdNdd92lo0eP1rhu7dq1uvbaazV48GBNnDhR8+bNq/F8QDCpakLOEjwEhqom5ARQ8D53AGVWlPp4JDidw/lHa4RPkjSwQ1+1craSJLUJj9WA9n0In04a3mmQ7Da7DuZlaMWeVGUV5fhkHOnHD6i4vEThzjD1iG7YH7QBAMGlye9ATdNUamqqFi9erM8++0wFBQWKi4vT1KlTG3yvV155RV26dNF9992n2NhYffPNN3rwwQeVkZHhaWr+8ccf68EHH9Stt96qMWPGKCUlRXfeeafefPNNDR061HOvWbNmadeuXXrkkUcUGhqqZ555RjNmzNB7770nh6PyZe/du1fTp0/XuHHjNGvWLG3fvl1PPvmk7Ha7pk+vZWccIAh4ekCxBA8Bwt2EnAAKVjDsJwOo8nIfjwSn0ymyvQwZ1UKolt7n6UzCQ8LUKaK9DuQd1vPfvSZDhm4ZeYPOTxzXrOPYcrSy/1O/dr1o1QEALVyjA6jNmzdr8eLF+vjjj5WZmSnDMJScnKxf/OIXGjp0aKMaDP7zn/9UXFyc5+OxY8fq+PHj+te//qXbb79dNptNzz77rC655BLNmjVLkjRmzBjt2LFDzz//vObPny9JWrdunb7++mstWLDAU4mVkJCg5ORkLV26VMnJyZKkBQsWKDY2Vn/7298UEhKisWPHKjs7Wy+88IJuvPFGhYSENPbTA/gt9y54LMFDoKAJOaxkOCp/1pvltVdAZRXlKD1zv/LKC5tzWPiJNuGxOqvzQK05tEmS6PNUD1lFOTqYd9jzsSlT89a8pSEd+zfr523ryQbk/dv1arbnBAD4pwb9GWL//v16/vnndfHFF2vatGn69NNPdemll+rpp5+WaZqaPHmyhg0b1ujdLU4Nn9ySkpJUUFCgoqIi7d+/X+np6ZoyZUq1a5KTk5WamqrS0spfHleuXKmoqCiNG1f1F57ExEQlJSVp5cqVnmMrV67UBRdcUC1oSk5OVl5entatW9eo1wD4O3cFVAQVUAgQ7goompDDCp4leOVlNc4tT1ul2xf/QX9J/adeSH9bK/atbu7h4RTZxbmSpMv6XqTnp/6p2St5Ak3lssXqXKar1l0DreIyXdqauUuS1L9dn2Z7XgCAf6p3BdS1116rjRs3KjY2VpMnT9af/vQnjRgxQpK0b98+ywb4ww8/qEOHDoqIiNAPP/wgqbKa6VQ9e/ZUWVmZ9u/fr549eyotLU0JCQk1grDExESlpVU2QSwqKtLhw4eVmJhY4xrDMJSWlqbRo0db9roAXzBN09MDigooBAp3E/IyKqBgAc8SvIrqAdRPm16bMvXqhkUa1X0oVTc+kF18XGk5+2TI0NR+FyqmVZSvh+T3alu2KEkdWrdttjHszz2kwtIihTpClRDbrdmeFwDgn+odQG3YsEFdu3bVfffdp/POO8/TR8lKa9asUUpKiu69915JlTvrSVJUVPVfOtwfu8/n5eUpMjKyxv2io6O1efNmSZVNymu7V0hIiMLCwjz3agzTNFVUVNToxyP4FBcXV/t/Xyktq1B5ReUvojaVqaiIhvvwDivnuGlWSJJKTpTyvRVeV1peOb9cZSeqza/0zP013ri7ZGrxls90dVKybAa9bJrT6r1rJUkJMd0U4nLwvaAewhSq/xkyTa9uXCTXKRvsfLn7GyX3Ot/zsZXfv9cf/FGS1Du2h06UnPD6/YEz8ZffwQEr+Mv8Nk2z3qvg6p0iPfjgg/roo4905513Kjo6WpMnT1ZycrJlVUIZGRm65557NHr0aP3yl7+05DmsUlZWpq1bt/p6GPBD6enpPn3+/OLKN1qGIe3ZvaPRy2WBulgxx3Oy8yRJxzKz+d4Kr7PnHVGUpLITxdXmV155Ya3VIym7v9D6gz/qorZnq2Or5qskaem+Oly5/LGLrR3fBxqgvaJ0S4+f63hprvYXZ+jrnLVauPVjncgpUb+I6isKrPj+/f3h9ZKkuIoo/rvBp3z9OzhgJX+Y3/Xtn13vAOqGG27QDTfcoP3792vx4sX66KOPtHDhQrVt21ajR4+WYRheezObl5enGTNmKCYmRs8995xnx4zo6GhJldVL7dq1q3b9qeejoqKUkZFR4765ubmea9wVUu5KKLfS0lIVFxd7rmsMp9OpXr1otIgqxcXFSk9PV3x8vMLCwnw2joPHCiUdVngrh/r37++zcSD4WDnHtx/bI23KU2RUtJKSkrx6b6A8O1qZ30h2qcb8Komu8FSPGDI0rP0AbcnaqUMlR/Xagf9qYvxYnd/jbOWXFqpD67aKC4vxyWsIdqUVZdq35zVJ0oUDz1WP6C4+HlHgarU5XJ/v+VopR1docK8B6hnbw7Lv36Zp6vC+tyVJ5ySNUe+4hDM8AvA+f/kdHLCCv8zvXbt21fvaBq+j69atm26//Xbdfvvtnp3wUlJSZJqmHn30Ua1cuVLnn3++zj77bIWGhjb09iopKdEtt9yi/Px8vfPOO9WW0rn7NaWlpVXr3ZSWlian06lu3bp5rktNTa1RCrZnzx716VPZADE8PFydOnXy9IQ69RrTNGv0hmoIwzAUHh7e6McjeIWFhfl0blSoRJLUOiyEOQpLWDHHw8NanfyXjXkLrysrPbkUv6Ksxvya0m+iRnUfWrkL3uHjGj1ohEpUqtc3vKdV+9Zoefo3Wp7+jST5bIv7lmD74c0qrShVm7BY9evYi+rdJvjNiOuUfSJXaw9t0rPf/0t/vvD/KSKsct57+/v35iPblV9aIIfNof6d+shpp/ckfMfXv4MDVvL1/G7Iz+UmNTAYOHCg7r//fq1YsUIvv/yyxo8fr5SUFN12220aM2ZMg+9XXl6uWbNmKS0tTS+99JI6dOhQ7Xy3bt0UHx+vJUuWVDuekpKisWPHesq+JkyYoNzcXKWmpnqu2bNnj7Zs2aIJEyZ4jk2YMEHLli1TWVlZtXtFRUVp2LBhDR4/4O+KisslSa1bWd/DDfAWp73yhxq74MEKp+6CZ5o1++K1CY9VUtteinK0liTFhcfo7rHTNWvM9GrXmTL14vdv6khBpvWDbmF+OLRJkjS880DCpyay2WyaNeYmJcR0U+6JfD3x1fM6kJ+hvUWHlF183GvPszxtlf745TOSpHJXub7a+53X7g0ACFxe6aBps9l09tlna86cOfrmm2/0t7/9rVEB1KOPPqovvvhCt956qwoKCrR+/XrP/0pLSyVJM2fO1EcffaRnn31Wq1ev1sMPP6yNGzfq9ttv99xn2LBhGj9+vGbPnq1PPvlEy5cv11133aW+fftq0qRJnuumT5+u7Oxs/e53v1NqaqpeffVVLViwQLfeemu91zACgaSwuDJsbR3GXyEROByOyh9V5eyCBwsYnqoMU3JV1PtxUa1qbnZiytSDy/5Py3Z/rfKKcmUV5Wjzke3KKsrx0mhbHtM0PQHUWZ0H+Xg0waGVs5XuPed2xYXF6GBehh748v/09qEU/e7zP2l52qom3/9I/rGTO0hWmbfmLb4OAAANX4J3JqGhoUpOTlZycnKDH7tqVeUPvTlz5tQ4t2zZMnXt2lVTp05VcXGx5s+fr3nz5ikhIUFz586tUbH0zDPP6IknntBDDz2k8vJyjR8/Xg888EC13ft69OihBQsWaM6cObr55psVFxenu+66SzfddFODxw4EgsKSkwFUKwIoBA6HvTKAogIKVnBXQEmVVVCGvX6/GtW1xf3xkjy9uOZNvbnxAxWWFsoUy/OaYl/uQWUV5SjE7tTA9n19PZygERceo1tH/kKPr5zrOWbK1Lw1b2pIx/5qEx57xntkFeXocP5RdYpsrzbhscouOq7P077SJzu+rLmDpOlSRsGxet0XABC8/GodzvLly+t13bRp0zRt2rTTXhMZGanHH39cjz/++GmvGz58uBYuXFjvMQKBjAooBCJ3AEUFFKxQPYAqlULr18SzTXisbhl5g+ateUsu0yWbYdOvh12jcle5/rN1ifJOFFTdV6bmrXmr3m/sUcVd/TSwQz+FOKhO9yaHrebbAJdp6vnvXtPV/ZOV1K6XsouPVwuZ3JanrTpZ5VTZoD8htpvSjx+Qy6z9+7TNsKljRLtazwEAWg6/CqAAWMtdARVODygEEM8SPCqgYAHDsEk2h+Qql1lR3qDHnp84TkM69ldGwTF1jGjneYPeJbKjHv9qbrVrqQBpHHcANYLld15XVxXf5iPbtPnINkWHRinvRJ6niu/ypElKjO2uA7mHtfDHjzzXmzKVlrNPkpTUrpcm9zpXhaXFWrD2bU84e/OI65n7AAACKKAlKSo52YScCigEECcBFCxmOJwyS8srK6AaqE14bI031t1iOtd4Y08FSMPlluRpV1a6JGl4JwIob6uq4ntTLtOUzTD0s6SLlVuSr6/2fqfcE3mea02Z+mDrp6e9360jf1FtmenwzgNrhLMAgJaNAApoQTxL8OgBhQBStQSv5g5lgDdUBlDFMsvLznxxPfz0jb0k/XrYNbwJb6B1h3+UKVMJMd0UFx7j6+EEpfMTx6lPdIK+3/KDRvY/S13bdJYkjewyWHO++keN67tGdVK78DZal7G52nGbYdOQjv2rHastnAUAtGxe2QUPQGCoWoJHAIXA4fQ0Ia//DmVAQ7h3wjMrvBNASZVv7Ode8idFOFtLknrEdPHavVuKtYcqQ46zulD9ZKW4sBh1D++suLAYz7EeMV1lyKh2nc2w6Q/nztT9596hW0f+QjbD5jnOEjsAQH14JYDKzMxUUlKSUlNTvXE7ABZxV0BFsAQPAYQKKFjN3YjcWxVQbm1bx6l/+96SpB1Ze7x672BXXlGuDRlbJLH8zhfcVXx1hUznJ47T81P/pIcn3qPnp/6JHR4BAPXitSV4pskbA8DfuXtA0YQcgcThqPwrfBk9oGAR4+Tuao3pAXUmvdrE67uD6z29jFA/W47tVHF5iaJbRSkxrruvh9Mi1dVk340ldgCAhuJdKNCCFLh7QFEBhQDiqYAigIJFrFiC59anTYIkaScVUA2y9uTud8M7DfRU4aD5ETIBALyJn+hAC1JUQgCFwOPZBa+cAArWsGoJniQlxnaXYRjKKs5RdtFxr98/GJmmqR9OBlBndWb5HQAAwcIrAVRkZKSeeOIJ9e7d2xu3A2ABl8tU8YnKJXjsgodA4vA0ISeAgjVsFgZQrZyt1D26sgH5zmyqoOrjYH6GjhRmymFzaHCHfr4eDgAA8BKvBFChoaG64oor1LZtW2/cDoAFik6Uy92qrXUYq28ROKiAguUsXIInSb3j4iVJO+kDVS/u5XcD2vdRK2crH48GAAB4C0vwgBai6GT/J6fDJqfD7uPRAPXnroCqcJlyudjwAt5XtQTP+03IJak3faAa5Nv96yRJ/dr29PFIAACANxFAAS1EIf2fEKDcAZQkVbiogoL32U7ugueyYAmeVBVApWXvVYWrwpLnCBYp25drV3a6JGnh5o+0PG2VbwcEAAC8hgAKaCEK3TvgtWL5HQKLewmeJJWxDA9WOLkETxYtwesc1UFhzlY6UVGq/bmHLHmOYJBVlKNX1i/yfGzK1Lw1bymrKMeHowIAAN5CAAW0EJ4AigooBBj7KRVQ5RUswYP3uZuQW1UBZTNs6nWyD9QOluHV6dOdK2occ5kuZRQc88FoAACAtzUqgCottaZHAgDrFJZU7oAXzg54CDB2myGbzZAklZWzfAneZ3UPKKlqGd4uGpHXavWBdfrvtqU1jtsMmzpGtPPBiAAAgLc1KoAaP368HnzwQa1Zs8bb4wFgESqgEMjcfaCogIIVPAFURbllz0Ej8rqtP/yjnkldIFOm+rZJlM2o/Hq3GTbdPOJ6tQmP9fEIAQCANzSqGczkyZO1dOlSvfvuu+rUqZMuvfRSXXbZZerZk91KAH9V5G5CTgUUApDTbqi0TCqvoAcUvM+wVzYht7QC6uQSvIP5GSosLVLrkHDLniuQbDm6Q/+36kVVuCo0pttwzRozXTklucooOKaOEe0InwAACCKNqoD64x//qK+//lrPPvusBg4cqH/961+aOnWqrrzySr366qvKzMz09jgBNJF7CR4VUAhEjpONyMtpQg4LVC3Bs6YHlCRFtYpUh9ZtJcmzy1tLtysrXXO++ofKKso0vNNA3TX617LZbGoTHqsB7fsQPgEAEGQa3YTc6XTqoosu0rPPPqtvvvlGjz32mCIjI/WXv/xF5513nmbMmKHFixerpKTEm+MF0EjsgodA5jy5BK+MCihYoGoJnnUBlHTqMrx0S5/H32UV5WjZ7q/1xxV/V0n5CQ1o30e/PXuGHHZ+PgEAEMy88pM+IiJC06ZNU79+/TR//nwtXbpUX331lb766iu1bt1a11xzjWbOnKnwcMrNAV8pPLkEjybkCESeCigCKFjAsFtfASVJvdrE6+t937foPlDL01bpxe/flKnKfm4dWrfVveNvU4gjxMcjAwAAVmtyALV//34tXrxYixcvVnp6umJiYvSLX/xCl19+uZxOpxYuXKjXX39dBw4c0HPPPeeNMQNoBJqQI5C5m5CXsQQPFmiOXfAkqU+bREnSrqw9Mk1ThmFY+nz+Jqsop1r4JEnHirJUWFasVs5WPhwZAABoDo0KoHJycpSSkqLFixdrw4YNcjqdOu+88/S///u/mjBhghyOqts+9NBD6tixo/7xj394bdAAGq6qCTlLHBB4PLvgEUDBAs2xC54k9YjpIofNofzSQh0pOKaOke0tfT5/s/f4gWrhkyS5TFMZBcfo9wQAQAvQqHei55xzjsrLyzV06FA9/PDDSk5OVlRUVJ3X9+7dW3FxcY0eJICmowIKgYwleLBSc+yCJ0lOu1MJsd20M2uPdmalt6gAymW6lLLzixrHbYZNHSPa+WBEAACguTUqgLrlllt0+eWXq3v37vW6fuLEiZo4cWJjngqAl7ALHgKZuwk5ARSs0By74Ln1jos/GUDt0Tnxoyx/Pn/x1sb/amPGVtkNm1ymKVOmbIZNN4+4nuonAABaiEYFUN26dZPNVvcGegcOHNCaNWv0s5/9rLHjAuBlRZ5d8AigEHic7gqocvMMVwIN11y74ElS77YJ0s4vtDPbt43Is4pydDj/qDpFtrc8APoi7Rt9uG2pJOn2Ub9S//a9lVFwTB0j2hE+AQDQgtSdIp3G/fffr3Xr1tV5fuPGjbr//vsbPSgA3lVWXqHSk71zwqmAQgDyNCGnAgoWaN4KqARJUvrxAyq1MPDKKsrR5iPblVWUU+Pc8rRVun3xH/TYl8/o9sV/0PK0VV67909tObpD8354S5J0Vf9knRM/Sm3CYzWgfR/CJwAAWphGVUCZ5un/Al1UVCS73d6oAQHwvsLiqsa6YaE0IUfgYRc8WKm5ekBJUrvWbRQdGqncE/lKz9mvPm0TG32vuqqYlqet8uw2Z8jQjBHXa3CHfjqUf1S7s9P1zubFnmtNmXrx+zc1qH0/tYtoc9p7m6ap/25bqn9v/K/n3jePuF4X9Bxf6/gy8o/qyVXzVOGq0JhuwzVt4CWNfq0AACDw1fud6LZt27Rt2zbPx2vWrFFFRUWN6/Ly8vT2228rISHBOyME0GSFJ3fAC2/lkN3Wsrb9RnBwOCrnLT2gYAXj5O69Vu+CJ0mGYahXm3j9cGiTdmTtaXQA9dOQ6fKkSerTJkEH8o7orY3/8VxnytS8NW+e9l6mTP12yWMa2KGvBrTvo8LSYr2/5RPPvUd3HSaXXNp+bLdyT+RXe9yLa97U7uy9uqDneCXGdpdhGMoqylFazj69tu5dFZQWqmdcD90x6leyGY0qvAcAAEGi3gHU559/rrlz50qq/OXpnXfe0TvvvFPrtVFRUfrLX/7inRECaDL3Dnjh9H9CgHLQhBwWMhzNVwElSb3bJOiHQ5u0K6txfaCOFWTpxe/fkLse3ZSpD7Z+etrH2AybOkd2UJvwGG3I2Frj/ImKUv1waJN+OLSp2nFTpr49sPa09/487Wt9nva1OrRuq05RHbTh8BaZJ0fX2hmu/zf+NoWe/BwDAICWq94B1DXXXKPzzjtPpmlq2rRpuuuuuzRhwoRq1xiGobCwMHXv3l0OB8t8AH/hDqAi6P+EAOUJoFiCBwsY9ubrASVJfdpUVonvbEQAlZa9V39PfVm1NUPoHNlBceGx2nxkW7XjNsPQc8mPeZbYLU9bpXlr3pLLdMlm2PSbs36uhNju+vHodn27f512ZafXuPcFieM0pGN/Pf3NS55wSZIMGRrWaaA2H92mI4WZOlKYWe1xRWXFcpl83QIAgAYEUO3bt1f79u0lSa+99pp69uypNm3anOFRAPxBUUnlspLwVgTDCEyeXfCogIIF3E3I5aqQ6aqQYbO2j2ViXA8ZMnSsKFvHi3MVExZ9xscUl5XonU0f6pNdX9bai9Nm2PTgeXerTXhsjYDp5hHXV+vvdP7JMOmnO9H1jOuhcd1H6vbFf6gWMtkMm64ecInahMfqlpE31Lj3+YnjVFJ+Qv/d+qne2/JJtXGZMpVRcIyG4wAAoHFNyEeNGuXtcQCwUMHJCqjWVEAhQDnZBQ8W8gRQquwDZXUAFe4MU9foTtqfe0g7s9M1ssuQWq/LKsrRofwjOlJwTO/+mKLs4uOSpHHdR6hnbA+9sfE/1YIgd8hTV8B0qjbhsXUery1kOtO9WzlCdWHPc/T+liU1wquOEe2a9PkCAADBoV4B1I033iibzaYFCxbI4XDol7/85RkfYxiGXn311SYPEKivzOPFOpRZoM5tI9Q2JszXw/ErRSebkLemBxQClMPBEjxYxzilP5FZXio5Qy1/zt5x8ZUBVNaeWgOoU5uMu3Vo3Va/GXGdhnTsL0ka2/2sOkOmugKm+jhTgNXY8AoAALRs9a6AcrmqfumvrfT7p+pzDeAtS1fv1dxF62WakmFId04bqkmje/h6WH7j1F3wgEDkoAIKFjJsdsmwSaZLZrn1O+FJlY3Il+/5RusP/6jJvc71hDRHC7O0Yk+qFv34cfUxSpo9YaY6RbX3HGtKyHQmjb13faqvAABAy1Svd6Ovv/76aT8GfCnzeLEnfJIk05SeX7RBw/u2pxLqpEKW4CHA0YQcVjMcTpllJ2RWNM9OeO7ldOnHD+j2xX/QsE4DlFmUo325B2u93pSUXXK8WgDlr6wMxgAAQOCyNeZB33//vbKzs+s8n52dre+//77RgwIa4lBmgX5acOcyTe3NyPPNgPyQuwk5S/AQqBwOQ5JUXkF1Lazh7gPVHDvhZRXl6N0fUzwfmzK19vBm7cs9KMMw1DsuXsZPHkMvJQAAEOgaFUD98pe/1KpVq+o8/+2339arTxTgDZ3bRtT4RV2S5n2wiRDqJCqgEOic9sqm0OyCB6sY9uYLoA7nH63W28ntZ0mT9dLlf9WfL7pXt4z8hWxG5a9p9FICAADBoFENYc7U36m0tFR2u7U7yABu0RGhimgdovzCymUThiGFhTh06FihfvvMSt38s4GaNLqHDKO2mKplKKQJOQKcpwKKJXiwiKcCqsL6AKpTZHsZMmrsFje517mKDI2QRC8lAAAQfOodQB06dEgHD1b1JUhLS6t1mV1eXp7efvttde7c2TsjBM5g6eq9yi8sVXTrEN1z/XD16Bglh92mp/+9Vmu3H9XcRRu0YWemfn5RHx0vOFHnLnnBvIseFVAIdE6akMNi7p3wzHLre0DVd7c4eikBAIBgUu8A6v3339fcuXNlGIYMw9ALL7ygF154ocZ1pmnKbrfr0Ucf9epAgdqUlJbrnc+2S5Kum9xPZ/Xr4Dn38G/G6IMVu/RaylZ9tf6gvlpfGaAahnTH1UM0eUy859pg30Wv8GQPqPAwdsFDYPLsgkcFFCzSnEvwJCqcAABAy1Pvd6NTpkxR7969ZZqmZs2apRtvvFEjRoyodo1hGAoLC1NSUpLatm3r9cECP/Xx13uUk39C7ePCawRGNpuhKyf2Vud2Efrzv77zHDdNae6iDXrpw80KD3XKaTd0JKe42vlg20XPUwHFEjwEKIfj5C54VEDBIs3ZhNyNCicAANCS1DuA6tmzp3r27ClJeuKJJzRixAh169bNsoEBZ1JYXKZ3l++UJN0wua+cjtp76oe3qn2al5yoUMmJilrPuUxThzMLgyKAMk1TxSUswUNgc1dAEUDBKs3ZAwoAAKAlatR6nCuuuMLb40AL4c0+Sx+s2K2C4jJ16xChc4fXHYZ2bhshw6isbHKzGdLjt41Tq1CHjmQXac5r3+unvfXf/3KXOrdrrTbRgR1CFZ8ol+vka6srjAP8nTtgpgk5rGLY3T2gCKAAAACs0Oh3o7t379Z7772nAwcOKDc3t8bOeIZh6NVXX23yABE8Pl6Vphf/s8krfZZyC07ovyt3SZJuuDhJdlvdO9y1jQnTndOG6vlFG+QyTdkMQ3dMG6IBPSuXifbsGlPtvCFJhrRm6xHd/tfl+uWUJF18doJy8koCskl5YXFl/yeH3VCok90pEZiogILVDEflr0TN0YQcAACgJWpUAPXBBx9o9uzZcjgcSkhIUFRUVI1rfhpIoeU4tcrJ6bDp+y0ZWrH2oNbvPOa5xjSluQvXK6FzlHp3a3j/i3eX71TxiQr16hqtswd1OuP1k0b30PC+7XU4s1Cd2rauESD99HxeYamef3e9duw7rhf+s0n/WbFLR3OKA7JJedHJ5XfhrZwyjLqDOsCfOWlCDot5dsFjCR4AAIAlGhVAzZ07V0lJSZo/f77i4uK8PSYEsFN3k5MkQ1JdUaQp6ffPfqVJo3vo6vN7q0NceL2W6GUeL9bHq/ZIkm6c0r/eoUrbmLDTVi6der5tTJj+OnOClqSm65WPf9SR7MBtUl5QTP8nBD6akMNqvmhCDgAA0JI0KoA6evSobrrpJsInVJN5vLha+CRVhkzdO0ZqeN/2+u/K3TX6LLlcppakpuuz1XvVp3uMtu3NOWOV0dufbVdZuUsDEttoWN92lr0eu83QJeMSFN06RH95fU31cZumUjcd0qXn9LTs+b3FXQHVmv5PCGAOe2XQXFZBdS2sYdgJoAAAAKzUqHekffv21dGjR709FgS4PYdyawRMknTrFYM1qFdbdesQWaMPU+e2rfXO5zu0fscxbU3P8TymsspovYb2bqf2ceGe4z+mZWrp6r2SpBunJDXLkrJ+8XE1mphL0rwPNuur9Yd0xXm91LNLtDKyC/2yP1QhFVAIAp4eUCzBg0WqKqDoAQUAAGCFRgVQ9913n+6++25NmDBBw4cP9/aYEKBWbThU45jNMNSpbWtJdfdhGtizrT7+Ok0v/GdTtce6TOnOJ5drcK92GtizjfKLSrXw852e8wePFWhAYhsLX1Glmk3MK0OpHfuOa2t6tra+8p3nWn/sD1VYUtmEPLwVARQCl5MleLBYVQ+och+PBAAAIDg1KoCaP3++IiMjdcMNN6hXr17q1KmTbDZbtWsMw9A///lPrwwS/m/z7kwtW7NfkjzVQu4qp1MrgurqwzR6YCe9+MGmGlVGxScqtPrHDK3+MaPGY5qzD1Nt4Vl2Xone+Wy7Ur5J91znj/2hqpbgEUAhcNEDClYz7OyCBwAAYKVGBVA7duyQJHXq1EmFhYXatWtXjWsaszRq7969WrBggTZs2KCdO3cqMTFRH330UbVrbrzxRn333Xc1HpuSkqKePav68eTn5+uJJ57Q559/rrKyMp1zzjl64IEH1L59+2qPW7t2rf7yl79o69atatOmja677jrNmDGD3cIaoKS0XM++s15SZVBz3aS+de42V5eaVUaGbrtqsBI6R+nHtCylbjqsbXtzqj3GZZo6nFnYbEHPT8OzuKhWGjekc7UAyhfjOhOW4CEYONgFDxbzVEDRAwoAAMASjQqgli9f7u1xSJJ27typFStWaMiQIXK5XDJraygkafjw4br33nurHevatWu1j2fNmqVdu3bpkUceUWhoqJ555hnNmDFD7733nhyOype9d+9eTZ8+XePGjdOsWbO0fft2Pfnkk7Lb7Zo+fbolrzEYvblkmw5nFapNdCvddOkAtQ5zNip8qWuJXt8ecZowrKtu+tPSahVSpy7v85XObSNq7Q+VV3jCNwOqhXsJHk3IEcic9qoKKNM0+SMBvM7TA6qCAAoAAMAKfvWO9Pzzz9eFF14oqbLP1ObNm2u9LioqSkOHDq3zPuvWrdPXX3+tBQsWaPz48ZKkhIQEJScna+nSpUpOTpYkLViwQLGxsfrb3/6mkJAQjR07VtnZ2XrhhRd04403KiQkxLsvMAhtS8/Wf1fullTZ+6ipVTZ1LdGrrULqp8v7fOGn43J7/t0Niu8crS7tInw4ukpUQCEYuJfgmWbl7pl2OwEUvItd8AAAAKzV5ACqoKBABQUFcrlqLovo3Llzg+710z5SjbVy5UpFRUVp3LhxnmOJiYlKSkrSypUrPQHUypUrddFFF1ULmpKTk/Xiiy9q3bp1Gj16tFfGE6xKyyr093fWyTSl80d004ikDpY+X10VUr526rjaxLTS395cq+37cvToS9/q/2aeo+iIUJ+Or/BkDyiakCOQuZfgSVJZhUt2u3d+XgBu7IIHAABgrUYHUG+99ZZeeeUV7d+/v85rtm7d2tjbn9Z3332noUOHqqKiQkOGDNHdd9+tkSNHes6npaUpISGhxhKNxMREpaWlSZKKiop0+PBhJSYm1rjGMAylpaURQJ3Bv5du14GjBYqNDNVvLh/YLM9ZV4WUr506rj/cNEq/f/YrHc4s1J//9Z3+dOvZPh0bFVAIBu5d8CSpvKL25dlAU7ALHgAAgLUaFUD9+9//1mOPPabx48frqquu0tNPP63/+Z//UWhoqN5//321bdtWN954o7fHKkkaOXKkLr/8csXHx+vo0aNasGCBfv3rX+v111/XsGHDJEl5eXmKjIys8djo6GjPsr78/HxJlcv5ThUSEqKwsDDl5uY2eoymaaqoqKjRjw8Euw/m6v0vK5vPT5/aT3aVq6iIX9olKdQu3XvDED04/3ttTc/W395co+lTKxvkFxcX1/qYrNwSHc4qUqc24WoT3cqr4ykoqvxrvt2oCPp5Cd9xz+265nhTndoTMC+/QDbTt5WFCD7uBvflpSU1vldaPb8BX2J+I5gxvxHM/GV+N6Q/a6MCqDfeeEPjx4/XSy+9pJycHD399NM699xzNXbsWP3mN7/RVVddpePHjzfm1md01113Vfv4vPPO09SpU/WPf/xD8+fPt+Q5G6qsrMyy6i9/kJ1frteWH5PLZWpgjzBFGFnaujXL18PyO1efHaM3vsjUqk0ZKj+Rr37dwpRbtEvR4dW/7NbuLtTi1TkyJRmSLh0dq+E9vddcPbeg8hvSkcP7ZT9xxGv3BWqTnp5u2b3tNqnCJW3btkPRrf2qhSGCgPNohiIkFRfk1fkz3Mr5Dfga8xvBjPmNYOYP87u+/bMb9Rv8vn37dP3110uSnM7KZT1lZZXLfCIjI3X11Vfrrbfe0k033dSY2zdIeHi4zj33XH366aeeY1FRUcrIyKhxbW5urqKjoz3jlKoqodxKS0tVXFzsua4xnE6nevXq1ejH+4PaKnJM01RK6j699skOz3XD+3dTUlIPXw3TryUlSeFRB/XCB1u0ekehVu8olCQN7d1GsZGhyi0sVXZuidIzCjyPMSV99F2OLj5noNcqocoWHZIkDUzqrQ5x4V65J/BTxcXFSk9PV3x8vMLCrFkm63QcVkVpheITe6ojcxlediK8QjlrpVZOh7omJVU71xzzG/AV5jeCGfMbwcxf5veuXbvqfW2jAqjIyEhVVFRIkiIiIhQWFlYt8GndurUyMzMbc2uvSExMVGpqao1SsD179qhPnz6SKoOrTp06eXpCnXqNaZo1ekM1hGEYCg8P3DdHS1fv1dxF6+Ve8dKvR6xMSfuP5KuopPoyuzeW7NTEEfF+2ZfJH4we1FUvfLCl2rH1O09fLeYypeOFLnXr1PQ5VF7h0omyymUlbWKjFB7Ozo6wVlhYmGXf/5wOm0pKK+R0hgb091j4J6N15a6lhquizvll5fwGfI35jWDG/EYw8/X8ru/yO0lq1DZCvXv31rZt2zwfDxkyRP/+97915MgRHT58WO+8847i4+Mbc+sGKyoq0pdffqlBgwZ5jk2YMEG5ublKTU31HNuzZ4+2bNmiCRMmVLtu2bJlnuotSUpJSVFUVJSnn1RLk3m8uFr4JEnb9uZo+96cGuGTJLlMU4czC5txhIHlUGZBrccvGtVdd04bqruuGaqffr3aDEOd2npnCZ67AbkktW7FkiUENvdOeOUVNXddBZrK04ScXfAAAAAs0ah3pJdddpnefvttlZaWKiQkRDNnztSvf/1rnXfeeZU3dTj03HPPNfi+xcXFWrFihSTp4MGDKigo0JIlSyRJo0aNUlpaml566SVddNFF6tKli44ePap//etfOnbsmP7+97977jNs2DCNHz9es2fP1r333qvQ0FA9/fTT6tu3ryZNmuS5bvr06Vq8eLF+97vf6brrrtOOHTu0YMEC3XPPPfVewxhsDmUWVAuf3K6b1Ff94mP1yPxvq533ZlgSjDq3jZBhqMbn7PrJ/TxVY6ZULfS75cpBXqsoc4eGrULsbFuPgOfeCc/dLBrwJpujsqUAu+ABAABYo1EB1FVXXaWrrrrK8/FZZ52ljz/+WMuXL5fdbte4ceOUkJDQ4PtmZWXp7rvvrnbM/fFrr72mjh07qqysTE8//bSOHz+usLAwDRs2TI8++qgGDx5c7XHPPPOMnnjiCT300EMqLy/X+PHj9cADD8jhqHrJPXr00IIFCzRnzhzdfPPNiouL01133dUsvav8VV2ByaTRPdQ2Jkx3Thuq5xdtkMs0ZTMM3TFtCMvvTqPqc7ZeLlOyGarxOZs0uoeG9G6n3/19hXILShUe6r1KJXcFVOswp9fuCfiKuwKKAAqWsJ8MoKiAAgAAsITX3ul269ZNv/rVr5p0j65du2r79u2nvWbBggX1uldkZKQef/xxPf7446e9bvjw4Vq4cGG9xxjszhQyTRrdQ8P7ttfhzEJ1atua8KkeJo3uoaTukVq9bqtGD0tSt05xNa7pEBeuqeMT9eaSbVry7V6dd1Y3rzx3YUllABXeigAKgc/hYAkerOOpgCovO8OVAAAAaAyawqCGM4VMbWPCCJ4aqE10KyV0aHXane0uGtVd//50m35My9L+I/nq1iGyyc9b1QPKVObxYv67IaDRAwpW8vSAqiirsYkJAAAAmq5RAVS/fv3q9YvZ1q1bG3N7+AFCpubXJjpMI/t31OofM7R09V5Nv2xgvR6XebxYhzIL1LltRI3/Zt9tqdydcv+RAt30p6W6c9pQTRrdw+tjB5qD0x1AsQQPFjDsp/xKVFEuOagcBQAA8KZGBVB33HFHjQCqoqJCBw8e1Oeff66EhARNnDjRKwMEWpLJY3po9Y8ZWvb9ft04JUkhTvtpr1+6em+1BuYjkjqoe4dIlVW4lF9Yqi/XHvBca5rS84s2aHjf9oSLCEhVS/Bq2SkBaCJ3BZRU2QfKIIACAADwqkYFUDNnzqzz3NGjR3XttdcqPj6+sWMCWqzh/TqobXQrZeaWKHXTYZ07vGud12YeL64WPknSmq1HtGbrkTof4zJNHc4sJIBCQHJXQJWxBA9WOKUCip3wAAAAvM/r+7K3b99eP//5z/WPf/zD27cGgp7dZniWyH367d7TXrtpd2a18Mlt3JDOmnZBb/1sQqJ+ulDWZhjq1La1l0YLNC9PBVR5hY9HgmBkGIYMdsIDAACwjCVNyMPCwnTgwIEzXwighgtH9dDbn23Xpt2ZOnisQF3aRdS4puREuRZ+vqPGcZth6DeXDfRUOHXrGFXnjoZAoHHYKyPVMpbgwSKGwymzokwudsIDAADwOq8HUDt27NDrr7/OEjygkdrFhumspA76fssRffrtXt106YBq503T1LML1+vA0QKFhTp0orRcLlO1Bkxn2tEQCCQOmpDDYoYjRDpRJFUQQAEAAHhbowKo888/v9Zd8PLz85Wfn69WrVqxBA9ogovHxOv7LUe07Pt9unFKPzkdVc3IP1ixW1+tPyi7zdDDvxmjDnHhpw2Y2NEQwaKqCTkBFKzh3gmPCigAAADva1QANWrUqFoDqOjoaHXr1k2XXHKJYmJimjo2oMU6q197tYlupazcEn27KUPnDOsiSVq/46he+ehHSdKMywdqQGIbSSJgQovgbkJOAAWruHfCowcUAACA9zUqgJozZ463xwHgFHa7TReO6q53PtuhJd+m65xhXXQku0h/ff0HuUzp/BHdlDwuwdfDBJpVVRNyAihYw3CcbELOEjwAAACva9IueEVFRTp27JjKy9muGPC2SaN6yDCkjbsytXT1Xj224FvlF5WqV9do3X71kFqrEIFg5q6AKqMCChap2gWPAAoAAMDbGlwBdfDgQS1YsEBffPGFMjIyJFVuXdyxY0ddfPHFuuGGG9SlSxevDxRoadrHhat7h0jtzcjXcwvXS5Jahdh1//+MUqjTfvoHA0HI3YS8jAooWMRTAUUABQAA4HUNqoBavny5LrvsMr311luy2WyaOHGipk6dqvPOO0+GYejll1/Wz372M3355Zeexzz99NPeHjPQImQeL9a+I/nVjp0oq5CNyie0UDQhh9U8PaBYggcAAOB19a6A2r17t2bNmqWuXbvqscce04gRI2pcs2bNGj388MO655579O6772revHn68MMPdc8993h10EBLcCizQKZZ/ZhpSoczC2k6jhbJ4WlCbp7hSqBx3Lvg0YQcAADA++odQL3wwguKiYnRW2+9VecOdyNGjNCbb76pyy67TFdddZVKS0v129/+1ltjBVqUzm0jZBiqFkLZDEOd2rb23aAAH3LShBwWq9oFjwooAAAAb6v3Erxvv/1WV199dZ3hk1tMTIyuuuoqlZSU6IknntCMGTOaOkagRWobE6Y7pw31LLmzGYbumDaE6ie0WFUVUARQsAa74AEAAFin3hVQx48fr3dz8a5du8put+vyyy9v9MAASJNG99Dwvu11OLNQndq2JnxCi+a0V4axNCGHVdgFDwAAwDr1DqBiY2N14MCBel174MABxcXFNXpQAKq0jQkjeAJEE3JYr2oXPHpAAQAAeFu9l+CNGjVK7777ro4fP37a644fP653331XY8aMaerYAADwcC/BKyOAgkWqdsEr9/FIAAAAgk+9A6hbb71Vx48f1y9+8QutXbu21mvWrl2rG2+8UcePH9ctt9zitUECAODpAcUSPFiEXfAAAACsU+8leL169dJTTz2le++9VzfccIO6dOmifv36qXXr1iosLNT27dt14MABtWrVSk899ZR69epl5bgBAC2MkyV4sBi74AEAAFin3gGUJE2aNElJSUmaP3++vvzyS33++eeec+3bt9c111yj6dOnq3v37l4fKACgZaMHFKzGLngAAADWaVAAJUndunXTY489JkkqKChQYWGhWrdurYiICK8PDgAAN08PKJbgwSJVTcgJoAAAALytwQHUqSIiIgieAADNwmmnAgrWMuzsggcAAGCVejchBwDAl6qakJs+HgmCVVUPKHbBAwAA8DYCKABAQHA4DElSGRVQsEhVDygqoAAAALyNAAoAEBCcDrskluDBOlVL8OgBBQAA4G0EUACAgOCwV1ZAldOEHBahCTkAAIB1CKAAAAHBswseFVCwSNUSPAIoAAAAbyOAAgAEBKfD3YScAArWqGpCTg8oAAAAbyOAAgAEBHcFVIXLlMvFTnjwvqoeUOyCBwAA4G0EUACAgOAOoCSpwkUVFLyPXfAAAACsQwAFAAgI7iV4klTGMjxYgCbkAAAA1iGAAgAEBPspFVDlFSzBg/cZdncPKAIoAAAAbyOAAgAEBLvNkM1mSJLKyit8PBoEI8PhqPyH6ZLpYo4BAAB4EwEUACBguPtAUQEFK7h3wZPYCQ8AAMDbCKAAAAHDaa+sgCqvoAcUvM+wOzz/Zic8AAAA7yKAAgAEDMfJRuTlNCGHBQybXbLZJVEBBQAA4G0EUACAgOE8uQSvjAooWMSzE14FjcgBAAC8iQAKABAwqICC1dx9oNgJDwAAwLsIoAAAAcNBBRQs5u4DRQAFAADgXQRQAICA4dkFjwooWMRTAVVBDygAAABvIoACAAQMzxI8KqBgEU8PKCqgAAAAvIoACgAQMNxNyAmgYBXDTgAFAABgBQIoAEDAcHqakJs+HgmCFRVQAAAA1iCAAgAEjKom5BU+HgmCVVUPKAIoAAAAbyKAAgAEDE8ARQUULFK1Cx5NyAEAALyJAAoAEDAcDkMSPaBgHU8FFEvwAAAAvIoACgAQMBw0IYfFPD2gWIIHAADgVX4VQO3du1cPPfSQLr/8cvXv319Tp06t9bpFixZp8uTJGjRokC677DJ98cUXNa7Jz8/X7NmzNWrUKA0bNkx33XWXjh49WuO6tWvX6tprr9XgwYM1ceJEzZs3T6bJ0g4A8EeeAKqcAArWYBc8AAAAa/hVALVz506tWLFCPXr0UM+ePWu95uOPP9aDDz6oKVOmaP78+Ro6dKjuvPNOrV+/vtp1s2bN0qpVq/TII4/oySef1J49ezRjxgyVl5d7rtm7d6+mT5+udu3a6cUXX9SvfvUrPfvss3r55ZetfJkAgEby7IJHBRQswi54AAAA1nD4egCnOv/883XhhRdKku677z5t3ry5xjXPPvusLrnkEs2aNUuSNGbMGO3YsUPPP/+85s+fL0lat26dvv76ay1YsEDjx4+XJCUkJCg5OVlLly5VcnKyJGnBggWKjY3V3/72N4WEhGjs2LHKzs7WCy+8oBtvvFEhISHN8KoBAPXl9DQhJ4CCNdgFDwAAwBp+VQFls51+OPv371d6erqmTJlS7XhycrJSU1NVWlq5Y83KlSsVFRWlcePGea5JTExUUlKSVq5c6Tm2cuVKXXDBBdWCpuTkZOXl5WndunXeeEkAAC9yUAEFi7ELHgAAgDX8KoA6k7S0NEmV1Uyn6tmzp8rKyrR//37PdQkJCTIMo9p1iYmJnnsUFRXp8OHDSkxMrHGNYRie6wAA/sPdA6qMAAoWYRc8AAAAa/jVErwzyc3NlSRFRUVVO+7+2H0+Ly9PkZGRNR4fHR3tWdaXn59f671CQkIUFhbmuVdjmKapoqKiRj8ewae4uLja/wPBprnmuOmqkCSVlJTyfRaWcK/uLDtR7JljfA9HMGN+I5gxvxHM/GV+m6ZZo/inLgEVQAWKsrIybd261dfDgB9KT0/39RAAS1k9x3Ny8iRJmVk5fJ+FJUKzshUu6Xh2lg79ZI7xPRzBjPmNYMb8RjDzh/ld3/7ZARVARUdHS6qsXmrXrp3neF5eXrXzUVFRysjIqPH43NxczzXuCil3JZRbaWmpiouLPdc1htPpVK9evRr9eASf4uJipaenKz4+XmFhYb4eDuB1zTXHd2WlSxvyFBEZpaSkJMueBy1XUelB5W2TolqHqcfJOcb3cAQz5jeCGfMbwcxf5veuXbvqfW1ABVDufk1paWnVejelpaXJ6XSqW7dunutSU1NrlILt2bNHffr0kSSFh4erU6dONXo97dmzR6Zp1ugN1RCGYSg8PLzRj0fwCgsLY24gqFk9x8PCQiVJpmx8LcESFeERkiS7zBpzjO/hCGbMbwQz5jeCma/nd32X30kB1oS8W7duio+P15IlS6odT0lJ0dixYz1lXxMmTFBubq5SU1M91+zZs0dbtmzRhAkTPMcmTJigZcuWqaysrNq9oqKiNGzYMItfDQCgoZx2dsGDtQy7UxK74AEAAHibX1VAFRcXa8WKFZKkgwcPqqCgwBM2jRo1SnFxcZo5c6Z+//vfq3v37ho9erRSUlK0ceNGvfHGG577DBs2TOPHj9fs2bN17733KjQ0VE8//bT69u2rSZMmea6bPn26Fi9erN/97ne67rrrtGPHDi1YsED33HNPvdcwAgCaj2cXvHICKFjDcFQGUC52wQMAAPAqvwqgsrKydPfdd1c75v74tdde0+jRozV16lQVFxdr/vz5mjdvnhISEjR37twaFUvPPPOMnnjiCT300EMqLy/X+PHj9cADD8jhqHrJPXr00IIFCzRnzhzdfPPNiouL01133aWbbrrJ+hcLAGgwh4MKKFjLHUCpggAKAADAm/wqgOratau2b99+xuumTZumadOmnfaayMhIPf7443r88cdPe93w4cO1cOHCBo0TAOAbTgIoWMy9BI8KKAAAAO8KqB5QAICWzb0Er5wleLCI4ahcgk8PKAAAAO8igAIABAxPDygqoGAR9xI8kwooAAAAryKAAgAEDCcVULCYZxc8ekABAAB4FQEUACBg0IQcVqMCCgAAwBoEUACAgOGwG5KksgrTxyNBsKrqAUUABQAA4E0EUACAgOF02CWxBA/WMewnNwh2lcs0mWcAAADeQgAFAAgY7gooluDBKu4KKIkqKAAAAG8igAIABAx3D6gyKqBgEXcPKIkACgAAwJsIoAAAAcNhpwk5LGazS6qstGMnPAAAAO8hgAIABAznKQGUadKIHN5nGAY74QEAAFiAAAoAEDDcS/BMU3K5CKBgjaqd8Ep9PBIAAIDgQQAFAAgY7gooSSpjGR4s4qmAqij38UgAAACCBwEUACBguCugJKm8ggooWMOwu5fgUQEFAADgLQRQAICAYbcZnn+XlVf4cCQIZvSAAgAA8D4CKABAwDAMo2onvHIqoGANTw8odsEDAADwGgIoAEBAcToqq6DK6QEFixh2hyQqoAAAALyJAAoAEFA8FVAEULAIu+ABAAB4HwEUACCgOB0EULBW1S54VEABAAB4CwEUACCguCugysoJoGCNql3wCKAAAAC8hQAKABBQCKBgNXbBAwAA8D4CKABAQHGwBA8WYxc8AAAA7yOAAgAEFJqQw2rsggcAAOB9BFAAgIDidAdQLMGDRdgFDwAAwPsIoAAAAaVqCZ7p45EgWLELHgAAgPcRQAEAAorT04S8wscjQbBiFzwAAADvI4ACAAQUmpDDauyCBwAA4H0EUACAgOKwG5KkMpbgwSLsggcAAOB9BFAAgIDioAk5LFa1Cx5NyAEAALyFAAoAEFBYggerVe2CRwUUAACAtxBAAQACirsJOQEUrMIueAAAAN5HAAUACCjuCqgyluDBIjQhBwAA8D4CKABAQKECClYz7ARQAAAA3kYABQAIKO4m5FRAwSr0gAIAAPA+AigAQEChCTmsZjhO7oJXwS54AAAA3kIABQAIKA7PEjzTxyNBsDLsVEABAAB4GwEUACCgON0VUCzBg0VoQg4AAOB9BFAAgIBCDyhYzRNAVRBAAQAAeAsBFAAgoDjthiR6QME6VEABAAB4HwEUACCg0IQcVju1B5Rp0msMAADAGwigAAABxbMEjwAKFnFXQEmm5Cr36VgAAACCBQEUACCg0IQcVqsKoFiGBwAA4C0EUACAgOKugGIJHqxi2AmgAAAAvI0ACgAQUNw9oNgFD1YxDEOyOySxEx4AAIC3EEABAAIKFVBoDobD3Yi81McjAQAACA4EUACAgOIkgEIzsJ3sA2WW04QcAADAGwigAAABxVMBVW76eCQIanZ3AEUFFAAAgDcQQAEAAop7F7wyKqBgIU8FFD2gAAAAvIIACgAQUNxNyFmCBysZniV4BFAAAADeQAAFAAgoDrshiV3wYC3DTgAFAADgTQRQAICAwi54aA7uXfBcFfSAAgAA8IaAC6Def/999e3bt8b/nnzyyWrXLVq0SJMnT9agQYN02WWX6Ysvvqhxr/z8fM2ePVujRo3SsGHDdNddd+no0aPN9VIAAI3g7gFVTgUULORegid2wQMAAPAKh68H0FgvvfSSIiMjPR936NDB8++PP/5YDz74oG699VaNGTNGKSkpuvPOO/Xmm29q6NChnutmzZqlXbt26ZFHHlFoaKieeeYZzZgxQ++9954cjoD91ABAUHNXQFW4TLlcpmw2w8cjQjByL8FzlZcG3l/rAAAA/FDApiwDBgxQXFxcreeeffZZXXLJJZo1a5YkacyYMdqxY4eef/55zZ8/X5K0bt06ff3111qwYIHGjx8vSUpISFBycrKWLl2q5OTkZnkdAICGcVdASVKFyyWbze7D0SBY0YQcAADAu4Luj3r79+9Xenq6pkyZUu14cnKyUlNTVVpa2cth5cqVioqK0rhx4zzXJCYmKikpSStXrmzWMQMA6s9dASXRiBzWcfeAMisIoAAAALwhYAOoqVOnKikpSRdccIFefPFFVVRUSJLS0tIkVVYznapnz54qKyvT/v37PdclJCTIMKov3UhMTPTcAwDgf+wEUGgGhr2ySJwKKAAAAO8IuCV47dq108yZMzVkyBAZhqHly5frmWee0ZEjR/TQQw8pNzdXkhQVFVXtce6P3efz8vKq9ZByi46O1ubNm5s0RtM0VVRU1KR7ILgUFxdX+38g2DT3HLfZDLlcpvILCuW0VTTLc6JlqVDlH6hKiwvl4ns4ghi/oyCYMb8RzPxlfpumWaOwpy4BF0Cdc845Ouecczwfjx8/XqGhoXr11Vd16623+nBkVcrKyrR161ZfDwN+KD093ddDACzVXHPcZkguSdu271RsRMD9KEMACMvNVytJWUePqPjkvOZ7OIIZ8xvBjPmNYOYP8zskJKRe1wXFb+1TpkzRyy+/rK1btyo6OlqSlJ+fr3bt2nmuycvLkyTP+aioKGVkZNS4V25urueaxnI6nerVq1eT7oHgUlxcrPT0dMXHxyssLMzXwwG8rrnneIgzQ+UV5YpPSFTntq0tfz60PPlZm1SYLsXFRMkZH8/3cAQtfkdBMGN+I5j5y/zetWtXva8NigDqVImJiZIqezy5/+3+2Ol0qlu3bp7rUlNTa5SL7dmzR3369GnSGAzDUHh4eJPugeAUFhbG3EBQa645HuKwq0jlcjpD+ZqCJU6EhatQkl2m55c6vocjmDG/EcyY3whmvp7f9V1+JwVwE/JTpaSkyG63q3///urWrZvi4+O1ZMmSGteMHTvWUxo2YcIE5ebmKjU11XPNnj17tGXLFk2YMKFZxw8AaBiHvfIHXVkFTchhDXbBAwAA8K6Aq4CaPn26Ro8erb59+0qSli1bpoULF+qXv/ylZ8ndzJkz9fvf/17du3fX6NGjlZKSoo0bN+qNN97w3GfYsGEaP368Zs+erXvvvVehoaF6+umn1bdvX02aNMknrw0AUD8OR+XfT8rZBQ8WqdoFr9THIwEAAAgOARdAJSQk6L333lNGRoZcLpfi4+M1e/Zs3XjjjZ5rpk6dquLiYs2fP1/z5s1TQkKC5s6dq2HDhlW71zPPPKMnnnhCDz30kMrLyzV+/Hg98MADcjgC7tMCAC2Kw14ZQFEBBat4KqDKqYACAADwhoBLWh544IF6XTdt2jRNmzbttNdERkbq8ccf1+OPP+6NoQEAmok7gKICClYxHE5JLMEDAADwlqDoAQUAaFk8S/CogIJFDPvJAIoKKAAAAK8ggAIABBynnQAK1vJUQBFAAQAAeAUBFAAg4Dg9TchNH48EwYpd8AAAALyLAAoAEHCqmpBX+HgkCFbsggcAAOBdBFAAgIDjCaCogIJF2AUPAADAuwigAAABx+EwJNEDCtZhFzwAAADvIoACAAQcB03IYTF2wQMAAPAuAigAQMCpakJOAAVrsAseAACAdxFAAQACTlUTcgIoWINd8AAAALyLAAoAEHCcdiqgYC33Ejy5KmS62G0RAACgqQigAAABx+GgBxSs5V6CJ1EFBQAA4A0EUACAgMMSPFjt1ABKFeW+GwgAAECQIIACAAQcB0vwYDHDZpeMynlGI3IAAICmI4ACAAQczy54FaaPR4Jg5mlETgAFAADQZARQAICA41mCV05zaFjHswyPHlAAAABNRgAFAAg4DochiQooWMu9Ex5NyAEAAJqOAAoAEHCcdnbBg/XcFVAswQMAAGg6AigAQMCpWoJHAAXreAIodsEDAABoMgIoAEDAcTiogIL13Evw6AEFAADQdARQAICA4ySAQjOo2gWv1McjAQAACHwEUACAgMMSPDQHluABAAB4DwEUACDgOGhCjmbgWYJHE3IAAIAmI4ACAAQczy54VEDBQlUVUARQAAAATUUABQAIODQhR3MggAIAAPAeAigAQMBx2A1JUlmF6eORIJh5AiiW4AEAADQZARQAIOA4HXZJLMGDtQx75S54ogIKAACgyQigAAABx1MBRQAFC7ELHgAAgPcQQAEAAg49oNAcWIIHAADgPQRQAICA47ATQMF6hr0ygFJFqW8HAgAAEAQIoAAAAcd5SgBlmjQihzUMR2UPKJbgAQAANB0BFAAg4DhPLsEzTcnlIoCCNQyHQxJL8AAAALyBAAoAEHDcS/AkqYxleLCIexc8AigAAICmI4ACAAQcdxNySSpnJzxYxN2EXBUEUAAAAE1FAAUACDh2m+H5NxVQsIpnFzwCKAAAgCYjgAIABBzDMKp2wiunBxSs4QmgWIIHAADQZARQAICA5HRUVkGVUwEFi9hO9oASu+ABAAA0GQEUACAgOex2SQRQsJB7FzyW4AEAADQZARQAICBRAQWr2RzsggcAAOAtBFAAgIDk7gFVxi54sIhhpwk5AACAtxBAAQACEgEUrOZuQi4CKAAAgCYjgAIABCSH4+QueCzBg0XYBQ8AAMB7CKAAAAHJXQFFAAWrGO4eUOyCBwAA0GQEUACAgOR0V0CxBA8WcfeAUkWZZJq+HQwAAECAI4ACAASkqgooggFYw9MDSpJcFb4bCAAAQBAggAIABCSnpwk5wQCsUT2AYhkeAABAUxBAAQACEk3IYTmbQ5IhSTIIoAAAAJqEAAoAEJAc9spgoIwleLCIYRieKiiDJXgAAABNQgAFAAhInh5QNCGHhTzL8KiAAgAAaBICKABAQHKyBA/NwL0THhVQAAAATUMAJWn37t369a9/raFDh2rcuHH661//qtLSUl8PCwBwGlW74BFAwTqeCqgKKqAAAACawuHrAfhabm6ufvWrXyk+Pl7PPfecjhw5ojlz5qikpEQPPfSQr4cHAKiDuwl5GUvwYKGqHlAEUAAAAE3R4gOot99+W4WFhZo7d65iYmIkSRUVFXr00Ud1yy23qEOHDr4dIACgVk4qoNAMDHtI5T9YggcAANAkLX4J3sqVKzV27FhP+CRJU6ZMkcvl0qpVq3w3MADAabmX4B06VqjM48U1zmceL9bGXcdqPWf1eX+9t7+Oy5+f273LYkleTq2PPXrggH5c9bWOHjjQoHNWnw/Uezfluf11XN44DwBAMGjxFVBpaWm66qqrqh2LiopSu3btlJaW5qNRAQDOZN+RfEnSqo2H9M2mQ7pz2lBNGt1DkrR09V7NXbRepikZhqqds/p8c9775p8N0thBnVRSWqHiknJ9tf6g/rNiV+V5SReO6q6k+DhVuExt3p2plesOylTluUvGJ2j8kC5qHeZURJhTq388rBf/s8nvXrMvnzv1/XfUPnOvDENqs32J1pqtNf6a6z2PTX3/HbXbskhhhqk809Du/tM09sprz3jO6vOBeu+mPLe/jssb5wEACBaGaZqmrwfhSwMGDNDdd9+tm2++udrxqVOnatiwYfrjH//YoPtt2rRJpmmqV69e3hwmAlxxcbHS09MVHx+vsLAwXw8H8LrmnuNZuSW6/cmvahxvFVJZFVVSWnNZXqsQmwzDkGmalp238rnrureVfP2aG/vcDrshwzBU4XLJVcunzDDkuXdtvwU57IZibIX6Q8R7shlVF5imdEIOVUZ4pkJVLsNQLed1mnNnemxTz1v53P76uvx1XI27t8s0FPLzOWrbubOaA7+jIJgxvxHM/GV+79q1S4ZhaNCgQWe8tsVXQFmhrKxMW7du9fUw4IfS09N9PQTAUs01x/ccKan1+OkCmjOFN1aet/q5Q52GbIah4lqu69LGKZsh7c8sq3EuKsymcpdUfMKl2v4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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_3_comptes(df, '418981', '200097229', '200127453')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 274,
-   "id": "7ae454c7-aab5-4711-8347-da2e6236a568",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_3_comptes(df, '406055', '200093156', '200127276')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 279,
-   "id": "7b3ef1ac-152f-4228-b0f0-5d1d3616be41",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_3_comptes(df, '200001608', '200082717', '200127352')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 283,
-   "id": "76a81555-fb92-424f-a171-03b1b3232166",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_3_comptes(df, '419103', '200101871', '200127163')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 287,
-   "id": "84f61ea4-d013-4652-bc92-f62f2cd34568",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_3_comptes(df, '418587', '200089971', '200127374')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 293,
-   "id": "67cd6dd0-fb8d-4a52-9f8e-cba1365997ff",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_3_comptes(df, '200127829', '200127497', '200139377')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 249,
-   "id": "931c9fef-23de-4332-9143-b3a5380f8e31",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(True, True)"
-      ]
-     },
-     "execution_count": 249,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rupture('200097229', ruptures_df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 292,
-   "id": "03d8fb76-5a7b-45d0-ab33-2c9a8dba846c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>old_account</th>\n",
-       "      <th>new_account</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>111</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>200127829</td>\n",
-       "      <td>200127497</td>\n",
-       "      <td>39205.735</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          date old_account new_account      value\n",
-       "111 2019-12-31   200127829   200127497  39205.735"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "from IPython.display import display\n",
-    "\n",
-    "# Afficher toutes les lignes et colonnes\n",
-    "pd.set_option('display.max_rows', None)\n",
-    "pd.set_option('display.max_columns', None)\n",
-    "pd.set_option('display.width', 1000)  # Largeur totale pour éviter les retours à la ligne\n",
-    "\n",
-    "# Affichage tabulaire joli\n",
-    "display(ruptures_df[ruptures_df['new_account'] == '200127497'])\n",
-    "#ruptures_df[ruptures_df[old_account] == '200097229']\n",
-    "# (Optionnel) remettre les options par défaut après affichage\n",
-    "pd.reset_option('display.max_rows')\n",
-    "pd.reset_option('display.max_columns')\n",
-    "pd.reset_option('display.width')\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 270,
-   "id": "a4413069-e762-45a8-8587-ba53606deb4d",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "48\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Récupérer tous les IDs qui apparaissent dans ruptures_df\n",
-    "all_ids = pd.unique(\n",
-    "    ruptures_df[['old_account', 'new_account']].values.ravel()\n",
-    ")\n",
-    "\n",
-    "# Filtrer ceux qui satisfont rupture(id, ruptures_df) == (True, True)\n",
-    "matching_ids = [\n",
-    "    acc_id for acc_id in all_ids\n",
-    "    if rupture(acc_id, ruptures_df) == (True, True)\n",
-    "]\n",
-    "\n",
-    "print(len(matching_ids))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 290,
-   "id": "f6c10298-bdc6-4429-bdf8-6d7ac6f107b9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'200127497'"
-      ]
-     },
-     "execution_count": 290,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "matching_ids[7]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 297,
-   "id": "61ef1cb8-cba5-46f3-806f-fef271c29897",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import pandas as pd\n",
-    "\n",
-    "# Copier pour éviter les effets de bord\n",
-    "df_plot = ruptures_df.copy()\n",
-    "df_plot['date'] = pd.to_datetime(df_plot['date'])\n",
-    "\n",
-    "# Compter les ruptures par date\n",
-    "counts = df_plot.groupby('date').size().reset_index(name='rupture_count')\n",
-    "\n",
-    "plt.figure(figsize=(10, 5))\n",
-    "plt.plot(counts['date'], counts['rupture_count'], marker='.')\n",
-    "plt.xlabel(\"Date\")\n",
-    "plt.ylabel(\"Nombre de ruptures\")\n",
-    "plt.title(\"Nombre de ruptures détectées par date\")\n",
-    "plt.grid(True)\n",
-    "plt.tight_layout()\n",
-    "plt.show()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "97a92b60-1f30-494e-bfe6-8501f1d74979",
-   "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": "3.13.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/clustering_repaired.ipynb b/clustering_repaired.ipynb
deleted file mode 100644
index f6560fc..0000000
--- a/clustering_repaired.ipynb
+++ /dev/null
@@ -1,4582 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 290,
-   "id": "2fee3a54-847b-432f-bda5-3d6a9aa9020c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import warnings\n",
-    "warnings.filterwarnings(\"ignore\")\n",
-    "\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "\n",
-    "from sklearn.preprocessing import StandardScaler, RobustScaler\n",
-    "from sklearn.cluster import KMeans\n",
-    "from sklearn.mixture import GaussianMixture\n",
-    "from sklearn.metrics import silhouette_score, davies_bouldin_score, pairwise_distances\n",
-    "from sklearn.linear_model import LinearRegression\n",
-    "from sklearn.neighbors import kneighbors_graph\n",
-    "from sklearn.manifold import MDS\n",
-    "\n",
-    "sns.set_style(\"whitegrid\")\n",
-    "pd.set_option(\"display.max_columns\", 200)\n",
-    "pd.set_option(\"display.max_rows\", 200)\n",
-    "\n",
-    "EPS = 1e-9\n",
-    "RANDOM_STATE = 42"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 291,
-   "id": "1f95b6b6-03b8-4f23-b236-5c71beedea04",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "PATH_aum = \"s3://projet-bdc-carmignac-g3/paco/AUM_repaired.csv\"\n",
-    "df_aum_repaired = pd.read_csv(PATH_aum, sep=\",\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 292,
-   "id": "cab4432f-d7e5-4c18-ab86-19fe6759eed6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers Flows : ['projet-bdc-data/carmignac/Flows ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/Flows ENSAE V2 -20251105.csv']\n",
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - AUM</th>\n",
-       "      <th>Value - AUM CCY</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>24648.6666</td>\n",
-       "      <td>24648.6666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22413.0553</td>\n",
-       "      <td>22413.0553</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-12-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22051.2406</td>\n",
-       "      <td>22051.2406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>21626.1173</td>\n",
-       "      <td>21626.1173</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22489.4502</td>\n",
-       "      <td>22489.4502</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200000647                     France   \n",
-       "1              200000647                     France   \n",
-       "2              200000647                     France   \n",
-       "3              200000647                     France   \n",
-       "4              200000647                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France          Diversified         Patrimoine   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France          Diversified         Patrimoine   \n",
-       "3                     France          Diversified         Patrimoine   \n",
-       "4                     France          Diversified         Patrimoine   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
-       "0                    FCP                   NO  Carmignac Patrimoine   \n",
-       "1                    FCP                   NO  Carmignac Patrimoine   \n",
-       "2                    FCP                   NO  Carmignac Patrimoine   \n",
-       "3                    FCP                   NO  Carmignac Patrimoine   \n",
-       "4                    FCP                   NO  Carmignac Patrimoine   \n",
-       "\n",
-       "  Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
-       "0                         A                           EUR   FR0010135103   \n",
-       "1                         A                           EUR   FR0010135103   \n",
-       "2                         A                           EUR   FR0010135103   \n",
-       "3                         A                           EUR   FR0010135103   \n",
-       "4                         A                           EUR   FR0010135103   \n",
-       "\n",
-       "  Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
-       "0          2015-03-31          35.368       24648.6666     24648.6666  \n",
-       "1          2015-11-30          35.368       22413.0553     22413.0553  \n",
-       "2          2015-12-31          35.368       22051.2406     22051.2406  \n",
-       "3          2016-03-31          35.368       21626.1173     21626.1173  \n",
-       "4          2016-11-30          35.368       22489.4502     22489.4502  "
-      ]
-     },
-     "execution_count": 292,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Import des données\n",
-    "\n",
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers FLOWS\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "flows_files = [f for f in all_files if \"Flows\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers Flows :\", flows_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "flows_data = {}\n",
-    "for file_path in flows_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        flows_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "dg = flows_data['Flows ENSAE V2 -20251105.csv']\n",
-    "\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 293,
-   "id": "232e399b-64dc-4943-9c15-793a268ee896",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - Subscription</th>\n",
-       "      <th>Quantity - Redemption</th>\n",
-       "      <th>Quantity - NetFlows</th>\n",
-       "      <th>Value Ccy - Subscription</th>\n",
-       "      <th>Value Ccy - Redemption</th>\n",
-       "      <th>Value Ccy - NetFlows</th>\n",
-       "      <th>Value € - Subscription</th>\n",
-       "      <th>Value € - Redemption</th>\n",
-       "      <th>Value € - NetFlows</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Portfolio Investissement</td>\n",
-       "      <td>F</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>LU0992625839</td>\n",
-       "      <td>2020-11-05</td>\n",
-       "      <td>1636.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1636.000</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-09</td>\n",
-       "      <td>144.69</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>144.690</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Investissement</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010148981</td>\n",
-       "      <td>2016-10-26</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Investissement</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010148981</td>\n",
-       "      <td>2018-10-18</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Investissement</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010148981</td>\n",
-       "      <td>2019-04-08</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200127202                     France   \n",
-       "1                 406533                     France   \n",
-       "2                 406533                     France   \n",
-       "3                 406533                     France   \n",
-       "4                 406533                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France               Equity     Investissement   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France               Equity     Investissement   \n",
-       "3                     France               Equity     Investissement   \n",
-       "4                     France               Equity     Investissement   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?  \\\n",
-       "0                  SICAV                   NO   \n",
-       "1                    FCP                   NO   \n",
-       "2                    FCP                   NO   \n",
-       "3                    FCP                   NO   \n",
-       "4                    FCP                   NO   \n",
-       "\n",
-       "                       Product - Fund Product - Shareclass Type  \\\n",
-       "0  Carmignac Portfolio Investissement                         F   \n",
-       "1                Carmignac Patrimoine                         A   \n",
-       "2            Carmignac Investissement                         A   \n",
-       "3            Carmignac Investissement                         A   \n",
-       "4            Carmignac Investissement                         A   \n",
-       "\n",
-       "  Product - Shareclass Currency Product - Isin Centralisation Date  \\\n",
-       "0                           EUR   LU0992625839          2020-11-05   \n",
-       "1                           EUR   FR0010135103          2015-03-09   \n",
-       "2                           EUR   FR0010148981          2016-10-26   \n",
-       "3                           EUR   FR0010148981          2018-10-18   \n",
-       "4                           EUR   FR0010148981          2019-04-08   \n",
-       "\n",
-       "   Quantity - Subscription  Quantity - Redemption  Quantity - NetFlows  \\\n",
-       "0                  1636.00                  0.000             1636.000   \n",
-       "1                   144.69                  0.000              144.690   \n",
-       "2                     0.00                 -8.321               -8.321   \n",
-       "3                     0.00                -22.083              -22.083   \n",
-       "4                     0.00               -465.992             -465.992   \n",
-       "\n",
-       "   Value Ccy - Subscription  Value Ccy - Redemption  Value Ccy - NetFlows  \\\n",
-       "0                 280983.00                    0.00             280983.00   \n",
-       "1                  99985.13                    0.00              99985.13   \n",
-       "2                      0.00                -9384.76              -9384.76   \n",
-       "3                      0.00               -25227.40             -25227.40   \n",
-       "4                      0.00              -563775.76            -563775.76   \n",
-       "\n",
-       "   Value € - Subscription  Value € - Redemption  Value € - NetFlows  \n",
-       "0               280983.00                  0.00           280983.00  \n",
-       "1                99985.13                  0.00            99985.13  \n",
-       "2                    0.00              -9384.76            -9384.76  \n",
-       "3                    0.00             -25227.40           -25227.40  \n",
-       "4                    0.00            -563775.76          -563775.76  "
-      ]
-     },
-     "execution_count": 293,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dg.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 294,
-   "id": "e19e970c-d1dc-4608-9f6f-73dd3e282ba6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Merge\n",
-    "\n",
-    "# 1️Identifier les IDs présents dans df_aum_repaired\n",
-    "ids_repaired = df_aum_repaired[\"Registrar Account - ID\"].unique()\n",
-    "\n",
-    "# 2️Sélectionner dans df uniquement les IDs qui ne sont pas dans df_aum_repaired\n",
-    "df_only = df[~df[\"Registrar Account - ID\"].isin(ids_repaired)]\n",
-    "\n",
-    "# 3️Concaténer les deux DataFrames\n",
-    "df_merged = pd.concat([df_aum_repaired, df_only], ignore_index=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 295,
-   "id": "79c732d4-8d4d-4f7d-9a46-2e89cf2b213d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Filtrer les comptes techniques\n",
-    "\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "\n",
-    "df['Centralisation Date'] = pd.to_datetime(df['Centralisation Date'])\n",
-    "df_aum_repaired['Centralisation Date'] = pd.to_datetime(df_aum_repaired['Centralisation Date'])\n",
-    "dg['Centralisation Date'] = pd.to_datetime(dg['Centralisation Date'])\n",
-    "df = df[~df['Registrar Account - ID'].isin(['Off Distribution','Private Clients', 'Private Client'])]\n",
-    "dg = dg[~dg['Registrar Account - ID'].isin(['Off Distribution','Private Clients','Private Client'])]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 296,
-   "id": "f7f7242c-051e-4d7d-9a76-b46523089e49",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Date de référence et sélection des 400+ principaux codes\n",
-    "\n",
-    "ref_date = pd.Timestamp('2025-10-31')\n",
-    "\n",
-    "df_ref = df[df['Centralisation Date'] == ref_date]\n",
-    "\n",
-    "aum_account = (\n",
-    "    df_ref\n",
-    "    .groupby('Registrar Account - ID')['Value - AUM €']\n",
-    "    .sum()\n",
-    "    .reset_index()\n",
-    "    .sort_values(by='Value - AUM €', ascending=False)\n",
-    ")\n",
-    "aum_account = aum_account[aum_account['Value - AUM €'] > 5_000_000]\n",
-    "selected_accounts = aum_account['Registrar Account - ID']\n",
-    "\n",
-    "df_aum = df_merged[df_merged['Registrar Account - ID'].isin(selected_accounts)].copy()\n",
-    "df_flows = dg[dg['Registrar Account - ID'].isin(selected_accounts)].copy()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 297,
-   "id": "91ea0342-607a-420e-af0d-178d063da761",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(31709, 6)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>11819.680</td>\n",
-       "      <td>-1524.010</td>\n",
-       "      <td>15230.010</td>\n",
-       "      <td>32</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>5705.000</td>\n",
-       "      <td>7247.100</td>\n",
-       "      <td>18571.880</td>\n",
-       "      <td>38</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>70038.905</td>\n",
-       "      <td>3655.380</td>\n",
-       "      <td>9754.040</td>\n",
-       "      <td>47</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>70324.489</td>\n",
-       "      <td>-218.394</td>\n",
-       "      <td>12840.950</td>\n",
-       "      <td>39</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>75567.276</td>\n",
-       "      <td>-4782.849</td>\n",
-       "      <td>6332.849</td>\n",
-       "      <td>24</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID      month    aum_qty  net_flow_qty  gross_flow_qty  \\\n",
-       "0                  18872 2015-01-31  11819.680     -1524.010       15230.010   \n",
-       "1                  18872 2015-02-28   5705.000      7247.100       18571.880   \n",
-       "2                  18872 2015-03-31  70038.905      3655.380        9754.040   \n",
-       "3                  18872 2015-04-30  70324.489      -218.394       12840.950   \n",
-       "4                  18872 2015-05-31  75567.276     -4782.849        6332.849   \n",
-       "\n",
-       "   n_tx  \n",
-       "0    32  \n",
-       "1    38  \n",
-       "2    47  \n",
-       "3    39  \n",
-       "4    24  "
-      ]
-     },
-     "execution_count": 297,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Variables par mois\n",
-    "\n",
-    "# Parse dates\n",
-    "df_flows[\"Centralisation Date\"] = pd.to_datetime(df_flows[\"Centralisation Date\"], errors=\"coerce\")\n",
-    "df_aum[\"Centralisation Date\"]   = pd.to_datetime(df_aum[\"Centralisation Date\"], errors=\"coerce\")\n",
-    "\n",
-    "ID_COL   = \"Registrar Account - ID\"\n",
-    "FLOW_COL = \"Quantity - NetFlows\"\n",
-    "AUM_COL  = \"Quantity - AUM\"\n",
-    "\n",
-    "# Month key\n",
-    "df_flows[\"month\"] = df_flows[\"Centralisation Date\"].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_aum[\"month\"]   = df_aum[\"Centralisation Date\"].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "# Flows sont journaliers, AUM est mensuel → il faut une granularité commune.\n",
-    "\n",
-    "# 1) Monthly aggregation for FLOWS : je fais mon etude mensuel parce que aum valeur mensuel \n",
-    "\n",
-    "ID_COL   = \"Registrar Account - ID\"\n",
-    "FLOW_COL = \"Quantity - NetFlows\"\n",
-    "AUM_COL  = \"Quantity - AUM\"\n",
-    "\n",
-    "df_flows_m = (\n",
-    "    df_flows\n",
-    "    .dropna(subset=[ID_COL, \"month\", FLOW_COL])\n",
-    "    .assign(gross_flow_qty=lambda x: x[FLOW_COL].abs())  # absolute quantity moved\n",
-    "    .groupby([ID_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        net_flow_qty=(FLOW_COL, \"sum\"),              # net quantity change over the month\n",
-    "        gross_flow_qty=(\"gross_flow_qty\", \"sum\"),    # total traded quantity (activity intensity)\n",
-    "        n_tx=(FLOW_COL, \"size\"),                     # number of transactions\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "# 2) Monthly aggregation for AUM (client-month holdings) ---\n",
-    "df_aum_m = (\n",
-    "    df_aum\n",
-    "    .dropna(subset=[ID_COL, \"month\", AUM_COL])\n",
-    "    .groupby([ID_COL, \"month\"], as_index=False)\n",
-    "    .agg(aum_qty=(AUM_COL, \"sum\"))                   # total held quantity across ISINs\n",
-    ")\n",
-    "\n",
-    "df_month0 = df_aum_m.merge(df_flows_m, on=[ID_COL, \"month\"], how=\"left\")\n",
-    "\n",
-    "# 4) Months without transactions => flows are 0 ---\n",
-    "df_month0[\"net_flow_qty\"]   = df_month0[\"net_flow_qty\"].fillna(0.0)\n",
-    "df_month0[\"gross_flow_qty\"] = df_month0[\"gross_flow_qty\"].fillna(0.0)\n",
-    "df_month0[\"n_tx\"]           = df_month0[\"n_tx\"].fillna(0).astype(int)\n",
-    "\n",
-    "print(df_month0.shape)\n",
-    "df_month0.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 298,
-   "id": "8caa4710-c7d5-4397-9d90-82f756499016",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Ajout de variables\n",
-    "\n",
-    "#external data projet-bdc-data /carmignac /Data Modélisation /Nav\n",
-    "PATH_NAV = \"s3://projet-bdc-data/carmignac/Data Modélisation/Nav/NAV_Bench_data.csv\" #C’est la table de valorisation / performance du produit.\n",
-    "PATH_RATES = \"s3://projet-bdc-data/carmignac/Data Modélisation/market data/esterRates.csv\"\n",
-    "\n",
-    "# optional competitors\n",
-    "PATH_COMP_FLOWS = \"s3://projet-bdc-data/carmignac/Data Modélisation/competitors/daily_estimated_flows.csv\"\n",
-    "PATH_COMP_PERF = \"s3://projet-bdc-data/carmignac/Data Modélisation/competitors/weekly_perf_full.csv\"\n",
-    "PATH_PEERS      = \"s3://projet-bdc-carmignac-g3/peers/CAD_peers.csv\"\n",
-    "\n",
-    "df_nav = pd.read_csv(PATH_NAV, sep=\";\") \n",
-    "# Une base de suivi de performance de fonds dans le temps, \n",
-    "# Price (TF PartPrice) : prix de la part du fond\n",
-    "# AUM Eur (Assets Under Management) : Taille du fonds en euros\n",
-    "\n",
-    "df_rates = pd.read_csv(PATH_RATES,sep=\";\")\n",
-    "# df_rates : évolution dans le temps d’un taux de rendement obligataire (YTM)\n",
-    "\n",
-    "df_comp_flows = pd.read_csv(PATH_COMP_FLOWS,sep=\";\")\n",
-    "# Estimated Fund-level Net Flow (Daily) : Flux nets estimés du fonds\n",
-    "\n",
-    "df_comp_perf = pd.read_csv(PATH_COMP_PERF,sep=\";\")\n",
-    "# perfPeriod : Horizon de performance\n",
-    "# return : Performance du fonds sur la période donnée\n",
-    "# percentile : Position du fonds par rapport à ses pairs\n",
-    "# 0 → top performer\n",
-    "# 100 → mauvais performer\n",
-    "\n",
-    "df_peers = pd.read_csv(PATH_PEERS,sep=\"|\")\n",
-    "# Global Broad Category Group : grande classe d’actifs\n",
-    "# Global Category : catégorie plus précise et Morningstar Category\n",
-    "# Index Fund : fonds indiciel (passif)\n",
-    "# Enhanced Index → quasi-passif (légère surperformance recherchée)\n",
-    "# Inception Date → date de création de la part\n",
-    "# Inception Date of Fund's Oldest Share Class → âge réel du fonds\n",
-    "# Domicile : pays de domiciliation du fonds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 299,
-   "id": "fe081e43-092b-4429-813a-67417e39fd07",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ID_COL = \"Registrar Account - ID\"\n",
-    "ISIN_COL = \"Product - Isin\"\n",
-    "\n",
-    "FLOW_DATE_COL = \"Centralisation Date\"\n",
-    "AUM_DATE_COL = \"Centralisation Date\"\n",
-    "\n",
-    "FLOW_QTY_COL = \"Quantity - NetFlows\"\n",
-    "FLOW_SUB_COL = \"Quantity - Subscription\"\n",
-    "FLOW_RED_COL = \"Quantity - Redemption\"\n",
-    "\n",
-    "AUM_QTY_COL = \"Quantity - AUM\"\n",
-    "AUM_VAL_COL = \"Value - AUM €\"\n",
-    "\n",
-    "REGION_COL = \"Registrar Account - Region\"\n",
-    "COUNTRY_COL = \"RegistrarAccount - Country\"\n",
-    "\n",
-    "NAV_DATE_COL = \"Dat\"\n",
-    "NAV_ISIN_COL = \"Isin\"\n",
-    "NAV_PRICE_COL = \"Price (TF PartPrice)\"\n",
-    "NAV_BENCH_COL = \"PriceBench\"\n",
-    "\n",
-    "RATE_DATE_COL = \"Date\"\n",
-    "RATE_VAL_COL = \"Yld to Maturity\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 300,
-   "id": "b2a1cdce-1b1c-45d9-9c74-93f826bd65fd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for df, date_col in [\n",
-    "    (df_flows, FLOW_DATE_COL),\n",
-    "    (df_aum, AUM_DATE_COL),\n",
-    "    (df_nav, NAV_DATE_COL),\n",
-    "    (df_rates, RATE_DATE_COL),\n",
-    "]:\n",
-    "    df[date_col] = pd.to_datetime(df[date_col], errors=\"coerce\")\n",
-    "\n",
-    "df_flows[\"month\"] = df_flows[FLOW_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_aum[\"month\"] = df_aum[AUM_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_nav[\"month\"] = df_nav[NAV_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "df_rates[\"month\"] = df_rates[RATE_DATE_COL].dt.to_period(\"M\").dt.to_timestamp(\"M\")\n",
-    "\n",
-    "for col in [FLOW_QTY_COL, FLOW_SUB_COL, FLOW_RED_COL]:\n",
-    "    df_flows[col] = pd.to_numeric(df_flows[col], errors=\"coerce\")\n",
-    "\n",
-    "for col in [AUM_QTY_COL, AUM_VAL_COL]:\n",
-    "    df_aum[col] = pd.to_numeric(df_aum[col], errors=\"coerce\")\n",
-    "\n",
-    "for col in [NAV_PRICE_COL, NAV_BENCH_COL]:\n",
-    "    df_nav[col] = pd.to_numeric(df_nav[col], errors=\"coerce\")\n",
-    "\n",
-    "df_rates[RATE_VAL_COL] = pd.to_numeric(df_rates[RATE_VAL_COL], errors=\"coerce\")\n",
-    "\n",
-    "for df, col in [(df_flows, ISIN_COL), (df_aum, ISIN_COL)]:\n",
-    "    df[col] = df[col].astype(str).str.strip()\n",
-    "\n",
-    "df_nav[NAV_ISIN_COL] = df_nav[NAV_ISIN_COL].astype(str).str.strip()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 301,
-   "id": "e10eb2ef-04cd-4186-b188-72d760b4d778",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(492920, 18)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>aum_val</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>sub_qty</th>\n",
-       "      <th>red_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "      <th>region_flow</th>\n",
-       "      <th>country_flow</th>\n",
-       "      <th>active_rel_month</th>\n",
-       "      <th>holding_rel_month</th>\n",
-       "      <th>flow_to_aum_rel</th>\n",
-       "      <th>turnover_rel</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>673.990</td>\n",
-       "      <td>956.01</td>\n",
-       "      <td>859.990</td>\n",
-       "      <td>-186.000</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6.739900e+11</td>\n",
-       "      <td>9.560100e+11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>988.000</td>\n",
-       "      <td>1712.00</td>\n",
-       "      <td>1350.000</td>\n",
-       "      <td>-362.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.880000e+11</td>\n",
-       "      <td>1.712000e+12</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>9.710</td>\n",
-       "      <td>1447.71</td>\n",
-       "      <td>785.710</td>\n",
-       "      <td>-776.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.710000e+09</td>\n",
-       "      <td>1.447710e+12</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>50219.393</td>\n",
-       "      <td>3.452433e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>-123.234</td>\n",
-       "      <td>1708.19</td>\n",
-       "      <td>853.478</td>\n",
-       "      <td>-976.712</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-2.453913e-03</td>\n",
-       "      <td>3.401455e-02</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>53685.393</td>\n",
-       "      <td>3.699729e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>121.000</td>\n",
-       "      <td>529.00</td>\n",
-       "      <td>325.000</td>\n",
-       "      <td>-204.000</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.253872e-03</td>\n",
-       "      <td>9.853705e-03</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID Product - Isin      month    aum_qty       aum_val  \\\n",
-       "0                  18872   FR0010135103 2015-01-31      0.000  0.000000e+00   \n",
-       "1                  18872   FR0010135103 2015-02-28      0.000  0.000000e+00   \n",
-       "2                  18872   FR0010135103 2015-03-31      0.000  0.000000e+00   \n",
-       "3                  18872   FR0010135103 2015-04-30  50219.393  3.452433e+07   \n",
-       "4                  18872   FR0010135103 2015-05-31  53685.393  3.699729e+07   \n",
-       "\n",
-       "        region      country  net_flow_qty  gross_flow_qty   sub_qty  red_qty  \\\n",
-       "0  Switzerland  Switzerland       673.990          956.01   859.990 -186.000   \n",
-       "1  Switzerland  Switzerland       988.000         1712.00  1350.000 -362.000   \n",
-       "2  Switzerland  Switzerland         9.710         1447.71   785.710 -776.000   \n",
-       "3  Switzerland  Switzerland      -123.234         1708.19   853.478 -976.712   \n",
-       "4  Switzerland  Switzerland       121.000          529.00   325.000 -204.000   \n",
-       "\n",
-       "   n_tx  region_flow country_flow  active_rel_month  holding_rel_month  \\\n",
-       "0   9.0  Switzerland  Switzerland                 1                  0   \n",
-       "1  12.0  Switzerland  Switzerland                 1                  0   \n",
-       "2  12.0  Switzerland  Switzerland                 1                  0   \n",
-       "3  11.0  Switzerland  Switzerland                 1                  1   \n",
-       "4   6.0  Switzerland  Switzerland                 1                  1   \n",
-       "\n",
-       "   flow_to_aum_rel  turnover_rel  \n",
-       "0     6.739900e+11  9.560100e+11  \n",
-       "1     9.880000e+11  1.712000e+12  \n",
-       "2     9.710000e+09  1.447710e+12  \n",
-       "3    -2.453913e-03  3.401455e-02  \n",
-       "4     2.253872e-03  9.853705e-03  "
-      ]
-     },
-     "execution_count": 301,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_flows_rel_m = (\n",
-    "    df_flows\n",
-    "    .dropna(subset=[ID_COL, ISIN_COL, \"month\"])\n",
-    "    .assign(\n",
-    "        gross_flow_qty=lambda x: x[FLOW_QTY_COL].abs(),\n",
-    "        sub_qty=lambda x: x[FLOW_SUB_COL].fillna(0),\n",
-    "        red_qty=lambda x: x[FLOW_RED_COL].fillna(0)\n",
-    "    )\n",
-    "    .groupby([ID_COL, ISIN_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        net_flow_qty=(FLOW_QTY_COL, \"sum\"),\n",
-    "        gross_flow_qty=(\"gross_flow_qty\", \"sum\"),\n",
-    "        sub_qty=(\"sub_qty\", \"sum\"),\n",
-    "        red_qty=(\"red_qty\", \"sum\"),\n",
-    "        n_tx=(FLOW_QTY_COL, \"size\"),\n",
-    "        region=(REGION_COL, \"last\"),\n",
-    "        country=(COUNTRY_COL, \"last\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_aum_rel_m = (\n",
-    "    df_aum\n",
-    "    .dropna(subset=[ID_COL, ISIN_COL, \"month\"])\n",
-    "    .groupby([ID_COL, ISIN_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        aum_qty=(AUM_QTY_COL, \"sum\"),\n",
-    "        aum_val=(AUM_VAL_COL, \"sum\"),\n",
-    "        region=(REGION_COL, \"last\"),\n",
-    "        country=(COUNTRY_COL, \"last\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "keys = pd.concat([\n",
-    "    df_flows_rel_m[[ID_COL, ISIN_COL, \"month\"]],\n",
-    "    df_aum_rel_m[[ID_COL, ISIN_COL, \"month\"]]\n",
-    "]).drop_duplicates()\n",
-    "\n",
-    "df_rel_m = (\n",
-    "    keys\n",
-    "    .merge(df_aum_rel_m, on=[ID_COL, ISIN_COL, \"month\"], how=\"left\", suffixes=(\"\", \"_aum\"))\n",
-    "    .merge(df_flows_rel_m, on=[ID_COL, ISIN_COL, \"month\"], how=\"left\", suffixes=(\"\", \"_flow\"))\n",
-    ")\n",
-    "\n",
-    "for c in [\"aum_qty\", \"aum_val\", \"net_flow_qty\", \"gross_flow_qty\", \"sub_qty\", \"red_qty\", \"n_tx\"]:\n",
-    "    df_rel_m[c] = df_rel_m[c].fillna(0)\n",
-    "\n",
-    "df_rel_m[\"region\"] = df_rel_m[\"region\"].fillna(df_rel_m.get(\"region_flow\"))\n",
-    "df_rel_m[\"country\"] = df_rel_m[\"country\"].fillna(df_rel_m.get(\"country_flow\"))\n",
-    "\n",
-    "df_rel_m[\"active_rel_month\"] = (df_rel_m[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "df_rel_m[\"holding_rel_month\"] = (df_rel_m[\"aum_qty\"] > 0).astype(int)\n",
-    "df_rel_m[\"flow_to_aum_rel\"] = df_rel_m[\"net_flow_qty\"] / (df_rel_m[\"aum_qty\"].abs() + EPS)\n",
-    "df_rel_m[\"turnover_rel\"] = df_rel_m[\"gross_flow_qty\"] / (df_rel_m[\"aum_qty\"].abs() + EPS)\n",
-    "\n",
-    "print(df_rel_m.shape)\n",
-    "df_rel_m.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 302,
-   "id": "321b09ab-90f0-4add-a670-0d8c74046e03",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>aum_val</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>sub_qty</th>\n",
-       "      <th>red_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "      <th>region_flow</th>\n",
-       "      <th>country_flow</th>\n",
-       "      <th>active_rel_month</th>\n",
-       "      <th>holding_rel_month</th>\n",
-       "      <th>flow_to_aum_rel</th>\n",
-       "      <th>turnover_rel</th>\n",
-       "      <th>ret_fund_m</th>\n",
-       "      <th>ret_bench_m</th>\n",
-       "      <th>active_return_m</th>\n",
-       "      <th>delta_rate_m</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>673.990</td>\n",
-       "      <td>956.01</td>\n",
-       "      <td>859.990</td>\n",
-       "      <td>-186.000</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6.739900e+11</td>\n",
-       "      <td>9.560100e+11</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.058</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>988.000</td>\n",
-       "      <td>1712.00</td>\n",
-       "      <td>1350.000</td>\n",
-       "      <td>-362.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.880000e+11</td>\n",
-       "      <td>1.712000e+12</td>\n",
-       "      <td>0.121368</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.022</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>9.710</td>\n",
-       "      <td>1447.71</td>\n",
-       "      <td>785.710</td>\n",
-       "      <td>-776.000</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9.710000e+09</td>\n",
-       "      <td>1.447710e+12</td>\n",
-       "      <td>0.068598</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.014</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>50219.393</td>\n",
-       "      <td>3.452433e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>-123.234</td>\n",
-       "      <td>1708.19</td>\n",
-       "      <td>853.478</td>\n",
-       "      <td>-976.712</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-2.453913e-03</td>\n",
-       "      <td>3.401455e-02</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.077</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>53685.393</td>\n",
-       "      <td>3.699729e+07</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>121.000</td>\n",
-       "      <td>529.00</td>\n",
-       "      <td>325.000</td>\n",
-       "      <td>-204.000</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.253872e-03</td>\n",
-       "      <td>9.853705e-03</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>-0.053</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID Product - Isin      month    aum_qty       aum_val  \\\n",
-       "0                  18872   FR0010135103 2015-01-31      0.000  0.000000e+00   \n",
-       "1                  18872   FR0010135103 2015-02-28      0.000  0.000000e+00   \n",
-       "2                  18872   FR0010135103 2015-03-31      0.000  0.000000e+00   \n",
-       "3                  18872   FR0010135103 2015-04-30  50219.393  3.452433e+07   \n",
-       "4                  18872   FR0010135103 2015-05-31  53685.393  3.699729e+07   \n",
-       "\n",
-       "        region      country  net_flow_qty  gross_flow_qty   sub_qty  red_qty  \\\n",
-       "0  Switzerland  Switzerland       673.990          956.01   859.990 -186.000   \n",
-       "1  Switzerland  Switzerland       988.000         1712.00  1350.000 -362.000   \n",
-       "2  Switzerland  Switzerland         9.710         1447.71   785.710 -776.000   \n",
-       "3  Switzerland  Switzerland      -123.234         1708.19   853.478 -976.712   \n",
-       "4  Switzerland  Switzerland       121.000          529.00   325.000 -204.000   \n",
-       "\n",
-       "   n_tx  region_flow country_flow  active_rel_month  holding_rel_month  \\\n",
-       "0   9.0  Switzerland  Switzerland                 1                  0   \n",
-       "1  12.0  Switzerland  Switzerland                 1                  0   \n",
-       "2  12.0  Switzerland  Switzerland                 1                  0   \n",
-       "3  11.0  Switzerland  Switzerland                 1                  1   \n",
-       "4   6.0  Switzerland  Switzerland                 1                  1   \n",
-       "\n",
-       "   flow_to_aum_rel  turnover_rel  ret_fund_m  ret_bench_m  active_return_m  \\\n",
-       "0     6.739900e+11  9.560100e+11    0.000000          0.0              0.0   \n",
-       "1     9.880000e+11  1.712000e+12    0.121368          0.0              0.0   \n",
-       "2     9.710000e+09  1.447710e+12    0.068598          0.0              0.0   \n",
-       "3    -2.453913e-03  3.401455e-02    0.000000          0.0              0.0   \n",
-       "4     2.253872e-03  9.853705e-03    0.000000          0.0              0.0   \n",
-       "\n",
-       "   delta_rate_m  \n",
-       "0        -0.058  \n",
-       "1        -0.022  \n",
-       "2        -0.014  \n",
-       "3        -0.077  \n",
-       "4        -0.053  "
-      ]
-     },
-     "execution_count": 302,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Ajout\n",
-    "\n",
-    "df_nav_m = (\n",
-    "    df_nav\n",
-    "    .dropna(subset=[NAV_ISIN_COL, \"month\", NAV_PRICE_COL])\n",
-    "    .sort_values([NAV_ISIN_COL, \"month\"])\n",
-    "    .groupby([NAV_ISIN_COL, \"month\"], as_index=False)\n",
-    "    .tail(1)\n",
-    "    .copy()\n",
-    ")\n",
-    "\n",
-    "df_nav_m[\"ret_fund_m\"] = df_nav_m.groupby(NAV_ISIN_COL)[NAV_PRICE_COL].pct_change()\n",
-    "df_nav_m[\"ret_bench_m\"] = df_nav_m.groupby(NAV_ISIN_COL)[NAV_BENCH_COL].pct_change()\n",
-    "df_nav_m[\"active_return_m\"] = df_nav_m[\"ret_fund_m\"] - df_nav_m[\"ret_bench_m\"]\n",
-    "\n",
-    "df_nav_m = df_nav_m.rename(columns={NAV_ISIN_COL: ISIN_COL})\n",
-    "df_nav_m = df_nav_m[[ISIN_COL, \"month\", \"ret_fund_m\", \"ret_bench_m\", \"active_return_m\"]]\n",
-    "\n",
-    "df_rates_m = (\n",
-    "    df_rates\n",
-    "    .dropna(subset=[\"month\", RATE_VAL_COL])\n",
-    "    .sort_values(RATE_DATE_COL)\n",
-    "    .groupby(\"month\", as_index=False)\n",
-    "    .tail(1)\n",
-    "    .copy()\n",
-    ")\n",
-    "\n",
-    "df_rates_m[\"delta_rate_m\"] = df_rates_m[RATE_VAL_COL].diff()\n",
-    "df_rates_m = df_rates_m[[\"month\", RATE_VAL_COL, \"delta_rate_m\"]]\n",
-    "\n",
-    "\n",
-    "        \n",
-    "df_rel_m = df_rel_m.merge(\n",
-    "    df_nav_m,\n",
-    "    on=[ISIN_COL, \"month\"],\n",
-    "    how=\"left\"\n",
-    ")\n",
-    "\n",
-    "df_rel_m = df_rel_m.merge(\n",
-    "    df_rates_m[[\"month\", \"delta_rate_m\"]],\n",
-    "    on=\"month\",\n",
-    "    how=\"left\"\n",
-    ")\n",
-    "\n",
-    "for c in [\"ret_fund_m\", \"ret_bench_m\", \"active_return_m\", \"delta_rate_m\"]:\n",
-    "    df_rel_m[c] = df_rel_m[c].fillna(0)\n",
-    "\n",
-    "df_rel_m.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 303,
-   "id": "614bf72b-7afa-4633-ba09-22540a441459",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(31709, 23)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>month</th>\n",
-       "      <th>aum_qty</th>\n",
-       "      <th>aum_val</th>\n",
-       "      <th>net_flow_qty</th>\n",
-       "      <th>gross_flow_qty</th>\n",
-       "      <th>sub_qty</th>\n",
-       "      <th>red_qty</th>\n",
-       "      <th>n_tx</th>\n",
-       "      <th>n_isin_held</th>\n",
-       "      <th>n_isin_active</th>\n",
-       "      <th>delta_rate_m</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>ret_fund_m</th>\n",
-       "      <th>ret_bench_m</th>\n",
-       "      <th>active_month</th>\n",
-       "      <th>flow_to_aum_m</th>\n",
-       "      <th>turnover_m</th>\n",
-       "      <th>sub_share_m</th>\n",
-       "      <th>red_share_m</th>\n",
-       "      <th>aum_peak_to_date</th>\n",
-       "      <th>aum_drawdown</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-01-31</td>\n",
-       "      <td>11819.680</td>\n",
-       "      <td>1.694553e+06</td>\n",
-       "      <td>-1524.010</td>\n",
-       "      <td>15230.010</td>\n",
-       "      <td>6897.990</td>\n",
-       "      <td>-8422.000</td>\n",
-       "      <td>32.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>13</td>\n",
-       "      <td>-0.058</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.013100</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.128938</td>\n",
-       "      <td>1.288530</td>\n",
-       "      <td>0.452921</td>\n",
-       "      <td>-0.552987</td>\n",
-       "      <td>11819.680</td>\n",
-       "      <td>8.459899e-14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-02-28</td>\n",
-       "      <td>5705.000</td>\n",
-       "      <td>7.008600e+05</td>\n",
-       "      <td>7247.100</td>\n",
-       "      <td>18571.880</td>\n",
-       "      <td>13219.490</td>\n",
-       "      <td>-5972.390</td>\n",
-       "      <td>38.0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>13</td>\n",
-       "      <td>-0.022</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.079848</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1.270307</td>\n",
-       "      <td>3.255369</td>\n",
-       "      <td>0.711801</td>\n",
-       "      <td>-0.321582</td>\n",
-       "      <td>11819.680</td>\n",
-       "      <td>5.173304e-01</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>70038.905</td>\n",
-       "      <td>1.503549e+07</td>\n",
-       "      <td>3655.380</td>\n",
-       "      <td>9754.040</td>\n",
-       "      <td>6767.710</td>\n",
-       "      <td>-3112.330</td>\n",
-       "      <td>47.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>14</td>\n",
-       "      <td>-0.014</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.005051</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.052191</td>\n",
-       "      <td>0.139266</td>\n",
-       "      <td>0.693837</td>\n",
-       "      <td>-0.319081</td>\n",
-       "      <td>70038.905</td>\n",
-       "      <td>1.432188e-14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-04-30</td>\n",
-       "      <td>70324.489</td>\n",
-       "      <td>3.928292e+07</td>\n",
-       "      <td>-218.394</td>\n",
-       "      <td>12840.950</td>\n",
-       "      <td>6384.278</td>\n",
-       "      <td>-6602.672</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>13</td>\n",
-       "      <td>-0.077</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.003106</td>\n",
-       "      <td>0.182596</td>\n",
-       "      <td>0.497181</td>\n",
-       "      <td>-0.514189</td>\n",
-       "      <td>70324.489</td>\n",
-       "      <td>1.432188e-14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>2015-05-31</td>\n",
-       "      <td>75567.276</td>\n",
-       "      <td>3.987712e+07</td>\n",
-       "      <td>-4782.849</td>\n",
-       "      <td>6332.849</td>\n",
-       "      <td>775.000</td>\n",
-       "      <td>-5557.849</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>7</td>\n",
-       "      <td>9</td>\n",
-       "      <td>-0.053</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.063293</td>\n",
-       "      <td>0.083804</td>\n",
-       "      <td>0.122378</td>\n",
-       "      <td>-0.877622</td>\n",
-       "      <td>75567.276</td>\n",
-       "      <td>1.332268e-14</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID      month    aum_qty       aum_val  net_flow_qty  \\\n",
-       "0                  18872 2015-01-31  11819.680  1.694553e+06     -1524.010   \n",
-       "1                  18872 2015-02-28   5705.000  7.008600e+05      7247.100   \n",
-       "2                  18872 2015-03-31  70038.905  1.503549e+07      3655.380   \n",
-       "3                  18872 2015-04-30  70324.489  3.928292e+07      -218.394   \n",
-       "4                  18872 2015-05-31  75567.276  3.987712e+07     -4782.849   \n",
-       "\n",
-       "   gross_flow_qty    sub_qty   red_qty  n_tx  n_isin_held  n_isin_active  \\\n",
-       "0       15230.010   6897.990 -8422.000  32.0            4             13   \n",
-       "1       18571.880  13219.490 -5972.390  38.0            3             13   \n",
-       "2        9754.040   6767.710 -3112.330  47.0            4             14   \n",
-       "3       12840.950   6384.278 -6602.672  39.0            4             13   \n",
-       "4        6332.849    775.000 -5557.849  24.0            7              9   \n",
-       "\n",
-       "   delta_rate_m       region      country  ret_fund_m  ret_bench_m  \\\n",
-       "0        -0.058  Switzerland  Switzerland    0.013100          0.0   \n",
-       "1        -0.022  Switzerland  Switzerland    0.079848          0.0   \n",
-       "2        -0.014  Switzerland  Switzerland    0.005051          0.0   \n",
-       "3        -0.077  Switzerland  Switzerland    0.000000          0.0   \n",
-       "4        -0.053  Switzerland  Switzerland    0.000000          0.0   \n",
-       "\n",
-       "   active_month  flow_to_aum_m  turnover_m  sub_share_m  red_share_m  \\\n",
-       "0             1      -0.128938    1.288530     0.452921    -0.552987   \n",
-       "1             1       1.270307    3.255369     0.711801    -0.321582   \n",
-       "2             1       0.052191    0.139266     0.693837    -0.319081   \n",
-       "3             1      -0.003106    0.182596     0.497181    -0.514189   \n",
-       "4             1      -0.063293    0.083804     0.122378    -0.877622   \n",
-       "\n",
-       "   aum_peak_to_date  aum_drawdown  \n",
-       "0         11819.680  8.459899e-14  \n",
-       "1         11819.680  5.173304e-01  \n",
-       "2         70038.905  1.432188e-14  \n",
-       "3         70324.489  1.432188e-14  \n",
-       "4         75567.276  1.332268e-14  "
-      ]
-     },
-     "execution_count": 303,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Données agrégées sur les ISIN\n",
-    "\n",
-    "# =========================\n",
-    "# ULTRA LIGHT VERSION\n",
-    "# =========================\n",
-    "\n",
-    "tmp = df_rel_m.copy()\n",
-    "tmp[\"isin_held_flag\"] = (tmp[\"aum_qty\"] > 0).astype(int)\n",
-    "tmp[\"isin_active_flag\"] = (tmp[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "\n",
-    "tmp[\"aum_total\"] = tmp.groupby([ID_COL, \"month\"])[\"aum_qty\"].transform(\"sum\")\n",
-    "tmp[\"w\"] = tmp[\"aum_qty\"] / (tmp[\"aum_total\"] + 1e-12)\n",
-    "tmp[\"ret_fund_w\"] = tmp[\"w\"] * tmp[\"ret_fund_m\"]\n",
-    "tmp[\"ret_bench_w\"] = tmp[\"w\"] * tmp[\"ret_bench_m\"]\n",
-    "\n",
-    "df_month = (\n",
-    "    tmp.groupby([ID_COL, \"month\"], as_index=False)\n",
-    "    .agg(\n",
-    "        aum_qty=(\"aum_qty\", \"sum\"),\n",
-    "        aum_val=(\"aum_val\", \"sum\"),\n",
-    "        net_flow_qty=(\"net_flow_qty\", \"sum\"),\n",
-    "        gross_flow_qty=(\"gross_flow_qty\", \"sum\"),\n",
-    "        sub_qty=(\"sub_qty\", \"sum\"),\n",
-    "        red_qty=(\"red_qty\", \"sum\"),\n",
-    "        n_tx=(\"n_tx\", \"sum\"),\n",
-    "        n_isin_held=(\"isin_held_flag\", \"sum\"),\n",
-    "        n_isin_active=(\"isin_active_flag\", \"sum\"),\n",
-    "        delta_rate_m=(\"delta_rate_m\", \"first\"),\n",
-    "        region=(\"region\", \"first\"),\n",
-    "        country=(\"country\", \"first\"),\n",
-    "        ret_fund_m=(\"ret_fund_w\", \"sum\"),\n",
-    "        ret_bench_m=(\"ret_bench_w\", \"sum\")\n",
-    "    )\n",
-    "    .sort_values([ID_COL, \"month\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")\n",
-    "\n",
-    "\n",
-    "df_month[\"active_month\"] = (df_month[\"gross_flow_qty\"] > 0).astype(int)\n",
-    "df_month[\"flow_to_aum_m\"] = df_month[\"net_flow_qty\"] / (df_month[\"aum_qty\"].abs() + EPS)\n",
-    "df_month[\"turnover_m\"] = df_month[\"gross_flow_qty\"] / (df_month[\"aum_qty\"].abs() + EPS)\n",
-    "df_month[\"sub_share_m\"] = df_month[\"sub_qty\"] / (df_month[\"gross_flow_qty\"] + EPS)\n",
-    "df_month[\"red_share_m\"] = df_month[\"red_qty\"] / (df_month[\"gross_flow_qty\"] + EPS)\n",
-    "\n",
-    "df_month[\"aum_peak_to_date\"] = df_month.groupby(ID_COL)[\"aum_qty\"].cummax()\n",
-    "df_month[\"aum_drawdown\"] = 1 - (df_month[\"aum_qty\"] / (df_month[\"aum_peak_to_date\"] + EPS))\n",
-    "df_month = df_month[df_month[\"month\"] <= '2025-10-31']\n",
-    "\n",
-    "key_cols = [\"Registrar Account - ID\", \"month\"]\n",
-    "\n",
-    "df_month = df_month.merge(\n",
-    "    df_month0[key_cols].drop_duplicates(),\n",
-    "    on=key_cols,\n",
-    "    how=\"inner\"\n",
-    ")\n",
-    "print(df_month.shape)\n",
-    "df_month.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 304,
-   "id": "2e01fa4f-ba89-4c8a-8cbb-528d89bc811c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>rel_n_months</th>\n",
-       "      <th>rel_active_months</th>\n",
-       "      <th>rel_holding_months</th>\n",
-       "      <th>rel_aum_mean</th>\n",
-       "      <th>rel_turnover_mean</th>\n",
-       "      <th>rel_turnover_vol</th>\n",
-       "      <th>rel_flow_to_aum_vol</th>\n",
-       "      <th>rel_n_tx</th>\n",
-       "      <th>rel_full_exit_count</th>\n",
-       "      <th>rel_entry_count</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>98</td>\n",
-       "      <td>91</td>\n",
-       "      <td>26</td>\n",
-       "      <td>2519.829520</td>\n",
-       "      <td>5.898325e+11</td>\n",
-       "      <td>9.652436e+11</td>\n",
-       "      <td>9.242856e+11</td>\n",
-       "      <td>382.0</td>\n",
-       "      <td>12</td>\n",
-       "      <td>13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010147603</td>\n",
-       "      <td>17</td>\n",
-       "      <td>8</td>\n",
-       "      <td>10</td>\n",
-       "      <td>695.058824</td>\n",
-       "      <td>1.685294e+11</td>\n",
-       "      <td>3.805578e+11</td>\n",
-       "      <td>3.805578e+11</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010148981</td>\n",
-       "      <td>81</td>\n",
-       "      <td>66</td>\n",
-       "      <td>28</td>\n",
-       "      <td>831.906963</td>\n",
-       "      <td>6.628200e+10</td>\n",
-       "      <td>1.140022e+11</td>\n",
-       "      <td>1.212644e+11</td>\n",
-       "      <td>149.0</td>\n",
-       "      <td>16</td>\n",
-       "      <td>17</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010149112</td>\n",
-       "      <td>19</td>\n",
-       "      <td>12</td>\n",
-       "      <td>5</td>\n",
-       "      <td>885.208737</td>\n",
-       "      <td>5.886253e+11</td>\n",
-       "      <td>1.251992e+12</td>\n",
-       "      <td>1.273644e+12</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>FR0010149120</td>\n",
-       "      <td>99</td>\n",
-       "      <td>79</td>\n",
-       "      <td>36</td>\n",
-       "      <td>425.655010</td>\n",
-       "      <td>1.673836e+11</td>\n",
-       "      <td>6.287132e+11</td>\n",
-       "      <td>6.316077e+11</td>\n",
-       "      <td>152.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>15</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID Product - Isin  rel_n_months  rel_active_months  \\\n",
-       "0                  18872   FR0010135103            98                 91   \n",
-       "1                  18872   FR0010147603            17                  8   \n",
-       "2                  18872   FR0010148981            81                 66   \n",
-       "3                  18872   FR0010149112            19                 12   \n",
-       "4                  18872   FR0010149120            99                 79   \n",
-       "\n",
-       "   rel_holding_months  rel_aum_mean  rel_turnover_mean  rel_turnover_vol  \\\n",
-       "0                  26   2519.829520       5.898325e+11      9.652436e+11   \n",
-       "1                  10    695.058824       1.685294e+11      3.805578e+11   \n",
-       "2                  28    831.906963       6.628200e+10      1.140022e+11   \n",
-       "3                   5    885.208737       5.886253e+11      1.251992e+12   \n",
-       "4                  36    425.655010       1.673836e+11      6.287132e+11   \n",
-       "\n",
-       "   rel_flow_to_aum_vol  rel_n_tx  rel_full_exit_count  rel_entry_count  \n",
-       "0         9.242856e+11     382.0                   12               13  \n",
-       "1         3.805578e+11       9.0                    4                4  \n",
-       "2         1.212644e+11     149.0                   16               17  \n",
-       "3         1.273644e+12      13.0                    3                3  \n",
-       "4         6.316077e+11     152.0                   14               15  "
-      ]
-     },
-     "execution_count": 304,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Données agrégées sur les mois\n",
-    "tmp = df_rel_m.sort_values([ID_COL, ISIN_COL, \"month\"]).copy()\n",
-    "tmp[\"prev_aum\"] = tmp.groupby([ID_COL, ISIN_COL])[\"aum_qty\"].shift(1)\n",
-    "tmp[\"full_exit_event\"] = ((tmp[\"prev_aum\"] > 0) & (tmp[\"aum_qty\"] <= 0)).astype(int)\n",
-    "tmp[\"entry_event\"] = ((tmp[\"prev_aum\"].fillna(0) <= 0) & (tmp[\"aum_qty\"] > 0)).astype(int)\n",
-    "\n",
-    "df_rel_feat = (\n",
-    "    tmp.groupby([ID_COL, ISIN_COL], as_index=False)\n",
-    "    .agg(\n",
-    "        rel_n_months=(\"month\", \"nunique\"),\n",
-    "        rel_active_months=(\"active_rel_month\", \"sum\"),\n",
-    "        rel_holding_months=(\"holding_rel_month\", \"sum\"),\n",
-    "        rel_aum_mean=(\"aum_qty\", \"mean\"),\n",
-    "        rel_turnover_mean=(\"turnover_rel\", \"mean\"),\n",
-    "        rel_turnover_vol=(\"turnover_rel\", \"std\"),\n",
-    "        rel_flow_to_aum_vol=(\"flow_to_aum_rel\", \"std\"),\n",
-    "        rel_n_tx=(\"n_tx\", \"sum\"),\n",
-    "        rel_full_exit_count=(\"full_exit_event\", \"sum\"),\n",
-    "        rel_entry_count=(\"entry_event\", \"sum\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_rel_feat.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 305,
-   "id": "2d81b4fd-f82d-42f1-ba03-8460706fea0d",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(431, 40)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>n_months</th>\n",
-       "      <th>n_active_months</th>\n",
-       "      <th>flow_freq</th>\n",
-       "      <th>aum_qty_mean</th>\n",
-       "      <th>aum_qty_median</th>\n",
-       "      <th>aum_qty_max</th>\n",
-       "      <th>aum_qty_last</th>\n",
-       "      <th>net_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_mean</th>\n",
-       "      <th>n_tx_total</th>\n",
-       "      <th>net_flow_vol</th>\n",
-       "      <th>turnover_mean</th>\n",
-       "      <th>turnover_vol</th>\n",
-       "      <th>flow_to_aum_mean</th>\n",
-       "      <th>flow_to_aum_vol</th>\n",
-       "      <th>avg_n_isin_held</th>\n",
-       "      <th>max_n_isin_held</th>\n",
-       "      <th>sub_share_mean</th>\n",
-       "      <th>red_share_mean</th>\n",
-       "      <th>delta_rate_mean</th>\n",
-       "      <th>aum_drawdown_last</th>\n",
-       "      <th>aum_drawdown_max</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>n_isin_total</th>\n",
-       "      <th>rel_turnover_mean_avg</th>\n",
-       "      <th>rel_turnover_vol_avg</th>\n",
-       "      <th>rel_flow_to_aum_vol_avg</th>\n",
-       "      <th>full_exit_count</th>\n",
-       "      <th>entry_count</th>\n",
-       "      <th>avg_holding_months_per_isin</th>\n",
-       "      <th>max_holding_months_per_isin</th>\n",
-       "      <th>corr_flow_fund_lag3</th>\n",
-       "      <th>corr_flow_fund_lag6</th>\n",
-       "      <th>corr_flow_bench_lag3</th>\n",
-       "      <th>corr_flow_bench_lag6</th>\n",
-       "      <th>corr_flow_rate_lag3</th>\n",
-       "      <th>corr_flow_rate_lag6</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>23477.224308</td>\n",
-       "      <td>14880.4715</td>\n",
-       "      <td>88818.372</td>\n",
-       "      <td>67570.855</td>\n",
-       "      <td>-45677.1480</td>\n",
-       "      <td>1.244126e+06</td>\n",
-       "      <td>9570.200015</td>\n",
-       "      <td>1926.0</td>\n",
-       "      <td>9832.357264</td>\n",
-       "      <td>6.382330e+10</td>\n",
-       "      <td>5.151309e+11</td>\n",
-       "      <td>-2.560792e+10</td>\n",
-       "      <td>2.841988e+11</td>\n",
-       "      <td>7.507692</td>\n",
-       "      <td>26</td>\n",
-       "      <td>0.429844</td>\n",
-       "      <td>-0.576520</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>2.392243e-01</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>107</td>\n",
-       "      <td>4.063407e+11</td>\n",
-       "      <td>8.956214e+11</td>\n",
-       "      <td>8.915940e+11</td>\n",
-       "      <td>310</td>\n",
-       "      <td>344</td>\n",
-       "      <td>9.121495</td>\n",
-       "      <td>36</td>\n",
-       "      <td>0.007825</td>\n",
-       "      <td>0.008326</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.007546</td>\n",
-       "      <td>0.014510</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>200000076</td>\n",
-       "      <td>130</td>\n",
-       "      <td>119</td>\n",
-       "      <td>0.915385</td>\n",
-       "      <td>15840.000331</td>\n",
-       "      <td>9272.4710</td>\n",
-       "      <td>50732.461</td>\n",
-       "      <td>44837.203</td>\n",
-       "      <td>54791.9840</td>\n",
-       "      <td>2.314415e+05</td>\n",
-       "      <td>1780.319492</td>\n",
-       "      <td>518.0</td>\n",
-       "      <td>2838.000232</td>\n",
-       "      <td>1.457820e-01</td>\n",
-       "      <td>2.457632e-01</td>\n",
-       "      <td>-1.707090e-02</td>\n",
-       "      <td>2.717209e-01</td>\n",
-       "      <td>4.700000</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0.508681</td>\n",
-       "      <td>-0.415876</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.162029e-01</td>\n",
-       "      <td>0.949206</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>22</td>\n",
-       "      <td>6.276897e+10</td>\n",
-       "      <td>2.469731e+11</td>\n",
-       "      <td>2.481822e+11</td>\n",
-       "      <td>71</td>\n",
-       "      <td>81</td>\n",
-       "      <td>27.772727</td>\n",
-       "      <td>85</td>\n",
-       "      <td>0.015278</td>\n",
-       "      <td>0.096449</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.025181</td>\n",
-       "      <td>0.012844</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>200000082</td>\n",
-       "      <td>71</td>\n",
-       "      <td>71</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>85194.200239</td>\n",
-       "      <td>25820.0550</td>\n",
-       "      <td>316149.358</td>\n",
-       "      <td>131158.471</td>\n",
-       "      <td>14575.5560</td>\n",
-       "      <td>1.229616e+06</td>\n",
-       "      <td>17318.539183</td>\n",
-       "      <td>4807.0</td>\n",
-       "      <td>13472.042652</td>\n",
-       "      <td>4.056892e+11</td>\n",
-       "      <td>2.421685e+12</td>\n",
-       "      <td>-9.687862e+10</td>\n",
-       "      <td>8.402113e+11</td>\n",
-       "      <td>1.760563</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0.438873</td>\n",
-       "      <td>-0.588724</td>\n",
-       "      <td>0.034282</td>\n",
-       "      <td>5.851376e-01</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1.147803e+12</td>\n",
-       "      <td>1.251086e+12</td>\n",
-       "      <td>1.333111e+12</td>\n",
-       "      <td>100</td>\n",
-       "      <td>101</td>\n",
-       "      <td>6.944444</td>\n",
-       "      <td>19</td>\n",
-       "      <td>-0.019860</td>\n",
-       "      <td>-0.020797</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.022861</td>\n",
-       "      <td>-0.135696</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>200000146</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>71298.603700</td>\n",
-       "      <td>15953.6355</td>\n",
-       "      <td>519508.539</td>\n",
-       "      <td>519508.539</td>\n",
-       "      <td>457533.3310</td>\n",
-       "      <td>1.150546e+06</td>\n",
-       "      <td>8850.350438</td>\n",
-       "      <td>4774.0</td>\n",
-       "      <td>10074.748210</td>\n",
-       "      <td>4.770901e+00</td>\n",
-       "      <td>2.930221e+01</td>\n",
-       "      <td>3.780801e+00</td>\n",
-       "      <td>2.870987e+01</td>\n",
-       "      <td>6.684615</td>\n",
-       "      <td>14</td>\n",
-       "      <td>0.517815</td>\n",
-       "      <td>-0.556667</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.887379e-15</td>\n",
-       "      <td>0.999302</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>33</td>\n",
-       "      <td>2.123548e+11</td>\n",
-       "      <td>3.670050e+11</td>\n",
-       "      <td>3.882699e+11</td>\n",
-       "      <td>237</td>\n",
-       "      <td>256</td>\n",
-       "      <td>26.333333</td>\n",
-       "      <td>54</td>\n",
-       "      <td>0.281071</td>\n",
-       "      <td>-0.020188</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.018482</td>\n",
-       "      <td>-0.018833</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>200000147</td>\n",
-       "      <td>129</td>\n",
-       "      <td>129</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>35957.851907</td>\n",
-       "      <td>18047.3390</td>\n",
-       "      <td>174703.188</td>\n",
-       "      <td>8478.402</td>\n",
-       "      <td>677424.2191</td>\n",
-       "      <td>1.210845e+06</td>\n",
-       "      <td>9386.398474</td>\n",
-       "      <td>7523.0</td>\n",
-       "      <td>13914.783110</td>\n",
-       "      <td>1.775257e+00</td>\n",
-       "      <td>8.769726e+00</td>\n",
-       "      <td>1.150007e+00</td>\n",
-       "      <td>7.862819e+00</td>\n",
-       "      <td>13.162791</td>\n",
-       "      <td>27</td>\n",
-       "      <td>0.599433</td>\n",
-       "      <td>-0.448172</td>\n",
-       "      <td>0.013837</td>\n",
-       "      <td>9.514697e-01</td>\n",
-       "      <td>0.996847</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>78</td>\n",
-       "      <td>5.279255e+11</td>\n",
-       "      <td>6.892142e+11</td>\n",
-       "      <td>6.858178e+11</td>\n",
-       "      <td>596</td>\n",
-       "      <td>619</td>\n",
-       "      <td>21.769231</td>\n",
-       "      <td>49</td>\n",
-       "      <td>-0.026933</td>\n",
-       "      <td>-0.010493</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.204637</td>\n",
-       "      <td>-0.109646</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID  n_months  n_active_months  flow_freq  aum_qty_mean  \\\n",
-       "0                  18872       130              130   1.000000  23477.224308   \n",
-       "1              200000076       130              119   0.915385  15840.000331   \n",
-       "2              200000082        71               71   1.000000  85194.200239   \n",
-       "3              200000146       130              130   1.000000  71298.603700   \n",
-       "4              200000147       129              129   1.000000  35957.851907   \n",
-       "\n",
-       "   aum_qty_median  aum_qty_max  aum_qty_last  net_flow_qty_sum  \\\n",
-       "0      14880.4715    88818.372     67570.855       -45677.1480   \n",
-       "1       9272.4710    50732.461     44837.203        54791.9840   \n",
-       "2      25820.0550   316149.358    131158.471        14575.5560   \n",
-       "3      15953.6355   519508.539    519508.539       457533.3310   \n",
-       "4      18047.3390   174703.188      8478.402       677424.2191   \n",
-       "\n",
-       "   gross_flow_qty_sum  gross_flow_qty_mean  n_tx_total  net_flow_vol  \\\n",
-       "0        1.244126e+06          9570.200015      1926.0   9832.357264   \n",
-       "1        2.314415e+05          1780.319492       518.0   2838.000232   \n",
-       "2        1.229616e+06         17318.539183      4807.0  13472.042652   \n",
-       "3        1.150546e+06          8850.350438      4774.0  10074.748210   \n",
-       "4        1.210845e+06          9386.398474      7523.0  13914.783110   \n",
-       "\n",
-       "   turnover_mean  turnover_vol  flow_to_aum_mean  flow_to_aum_vol  \\\n",
-       "0   6.382330e+10  5.151309e+11     -2.560792e+10     2.841988e+11   \n",
-       "1   1.457820e-01  2.457632e-01     -1.707090e-02     2.717209e-01   \n",
-       "2   4.056892e+11  2.421685e+12     -9.687862e+10     8.402113e+11   \n",
-       "3   4.770901e+00  2.930221e+01      3.780801e+00     2.870987e+01   \n",
-       "4   1.775257e+00  8.769726e+00      1.150007e+00     7.862819e+00   \n",
-       "\n",
-       "   avg_n_isin_held  max_n_isin_held  sub_share_mean  red_share_mean  \\\n",
-       "0         7.507692               26        0.429844       -0.576520   \n",
-       "1         4.700000                9        0.508681       -0.415876   \n",
-       "2         1.760563                4        0.438873       -0.588724   \n",
-       "3         6.684615               14        0.517815       -0.556667   \n",
-       "4        13.162791               27        0.599433       -0.448172   \n",
-       "\n",
-       "   delta_rate_mean  aum_drawdown_last  aum_drawdown_max       region  \\\n",
-       "0         0.013723       2.392243e-01          1.000000  Switzerland   \n",
-       "1         0.013723       1.162029e-01          0.949206        Spain   \n",
-       "2         0.034282       5.851376e-01          1.000000        Italy   \n",
-       "3         0.013723       1.887379e-15          0.999302        Italy   \n",
-       "4         0.013837       9.514697e-01          0.996847        Italy   \n",
-       "\n",
-       "       country  n_isin_total  rel_turnover_mean_avg  rel_turnover_vol_avg  \\\n",
-       "0  Switzerland           107           4.063407e+11          8.956214e+11   \n",
-       "1        Spain            22           6.276897e+10          2.469731e+11   \n",
-       "2        Italy            18           1.147803e+12          1.251086e+12   \n",
-       "3        Italy            33           2.123548e+11          3.670050e+11   \n",
-       "4        Italy            78           5.279255e+11          6.892142e+11   \n",
-       "\n",
-       "   rel_flow_to_aum_vol_avg  full_exit_count  entry_count  \\\n",
-       "0             8.915940e+11              310          344   \n",
-       "1             2.481822e+11               71           81   \n",
-       "2             1.333111e+12              100          101   \n",
-       "3             3.882699e+11              237          256   \n",
-       "4             6.858178e+11              596          619   \n",
-       "\n",
-       "   avg_holding_months_per_isin  max_holding_months_per_isin  \\\n",
-       "0                     9.121495                           36   \n",
-       "1                    27.772727                           85   \n",
-       "2                     6.944444                           19   \n",
-       "3                    26.333333                           54   \n",
-       "4                    21.769231                           49   \n",
-       "\n",
-       "   corr_flow_fund_lag3  corr_flow_fund_lag6  corr_flow_bench_lag3  \\\n",
-       "0             0.007825             0.008326                   NaN   \n",
-       "1             0.015278             0.096449                   NaN   \n",
-       "2            -0.019860            -0.020797                   NaN   \n",
-       "3             0.281071            -0.020188                   NaN   \n",
-       "4            -0.026933            -0.010493                   NaN   \n",
-       "\n",
-       "   corr_flow_bench_lag6  corr_flow_rate_lag3  corr_flow_rate_lag6  \n",
-       "0                   NaN             0.007546             0.014510  \n",
-       "1                   NaN            -0.025181             0.012844  \n",
-       "2                   NaN             0.022861            -0.135696  \n",
-       "3                   NaN            -0.018482            -0.018833  \n",
-       "4                   NaN            -0.204637            -0.109646  "
-      ]
-     },
-     "execution_count": 305,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Données agrégées sur les ISIN et sur les mois\n",
-    "df_rel_client = (\n",
-    "    df_rel_feat\n",
-    "    .groupby(ID_COL, as_index=False)\n",
-    "    .agg(\n",
-    "        n_isin_total=(ISIN_COL, \"nunique\"),\n",
-    "        rel_turnover_mean_avg=(\"rel_turnover_mean\", \"mean\"),\n",
-    "        rel_turnover_vol_avg=(\"rel_turnover_vol\", \"mean\"),\n",
-    "        rel_flow_to_aum_vol_avg=(\"rel_flow_to_aum_vol\", \"mean\"),\n",
-    "        full_exit_count=(\"rel_full_exit_count\", \"sum\"),\n",
-    "        entry_count=(\"rel_entry_count\", \"sum\"),\n",
-    "        avg_holding_months_per_isin=(\"rel_holding_months\", \"mean\"),\n",
-    "        max_holding_months_per_isin=(\"rel_holding_months\", \"max\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_client = (\n",
-    "    df_month\n",
-    "    .groupby(ID_COL, as_index=False)\n",
-    "    .agg(\n",
-    "        n_months=(\"month\", \"nunique\"),\n",
-    "        n_active_months=(\"active_month\", \"sum\"),\n",
-    "        flow_freq=(\"active_month\", \"mean\"),\n",
-    "\n",
-    "        aum_qty_mean=(\"aum_qty\", \"mean\"),\n",
-    "        aum_qty_median=(\"aum_qty\", \"median\"),\n",
-    "        aum_qty_max=(\"aum_qty\", \"max\"),\n",
-    "        aum_qty_last=(\"aum_qty\", \"last\"),\n",
-    "\n",
-    "        net_flow_qty_sum=(\"net_flow_qty\", \"sum\"),\n",
-    "        gross_flow_qty_sum=(\"gross_flow_qty\", \"sum\"),\n",
-    "        gross_flow_qty_mean=(\"gross_flow_qty\", \"mean\"),\n",
-    "        n_tx_total=(\"n_tx\", \"sum\"),\n",
-    "\n",
-    "        net_flow_vol=(\"net_flow_qty\", \"std\"),\n",
-    "        turnover_mean=(\"turnover_m\", \"mean\"),\n",
-    "        turnover_vol=(\"turnover_m\", \"std\"),\n",
-    "        flow_to_aum_mean=(\"flow_to_aum_m\", \"mean\"),\n",
-    "        flow_to_aum_vol=(\"flow_to_aum_m\", \"std\"),\n",
-    "\n",
-    "        avg_n_isin_held=(\"n_isin_held\", \"mean\"),\n",
-    "        max_n_isin_held=(\"n_isin_held\", \"max\"),\n",
-    "\n",
-    "        sub_share_mean=(\"sub_share_m\", \"mean\"),\n",
-    "        red_share_mean=(\"red_share_m\", \"mean\"),\n",
-    "\n",
-    "        delta_rate_mean=(\"delta_rate_m\", \"mean\"),\n",
-    "        aum_drawdown_last=(\"aum_drawdown\", \"last\"),\n",
-    "        aum_drawdown_max=(\"aum_drawdown\", \"max\"),\n",
-    "\n",
-    "        region=(\"region\", \"last\"),\n",
-    "        country=(\"country\", \"last\")\n",
-    "    )\n",
-    ")\n",
-    "\n",
-    "df_client = df_client.merge(df_rel_client, on=ID_COL, how=\"left\")\n",
-    "\n",
-    "#Variables de corrélations entre performance et flux\n",
-    "def corr_lag(x, y, lag):\n",
-    "    x = np.asarray(x, dtype=float)\n",
-    "    y = np.asarray(y, dtype=float)\n",
-    "    \n",
-    "    mask = np.isfinite(x) & np.isfinite(y)\n",
-    "    x, y = x[mask], y[mask]\n",
-    "    \n",
-    "    if len(x) <= lag + 3:\n",
-    "        return np.nan\n",
-    "    \n",
-    "    return pd.Series(x[lag:]).corr(pd.Series(y[:-lag]))\n",
-    "\n",
-    "rows = []\n",
-    "\n",
-    "for acc, g in df_month.groupby(ID_COL):\n",
-    "    g = g.sort_values(\"month\")\n",
-    "    \n",
-    "    flow = g[\"flow_to_aum_m\"].values\n",
-    "    ret_fund = g[\"ret_fund_m\"].values\n",
-    "    ret_bench = g[\"ret_bench_m\"].values\n",
-    "    rate = g[\"delta_rate_m\"].values\n",
-    "    \n",
-    "    rows.append({\n",
-    "        ID_COL: acc,\n",
-    "        \n",
-    "        # 👇 Corrélations perf vs flux\n",
-    "        \"corr_flow_fund_lag3\": corr_lag(flow, ret_fund, 3),\n",
-    "        \"corr_flow_fund_lag6\": corr_lag(flow, ret_fund, 6),\n",
-    "        \n",
-    "        \"corr_flow_bench_lag3\": corr_lag(flow, ret_bench, 3),\n",
-    "        \"corr_flow_bench_lag6\": corr_lag(flow, ret_bench, 6),\n",
-    "        \n",
-    "        # 👇 Corrélation taux vs flux\n",
-    "        \"corr_flow_rate_lag3\": corr_lag(flow, rate, 3),\n",
-    "        \"corr_flow_rate_lag6\": corr_lag(flow, rate, 6),\n",
-    "    })\n",
-    "\n",
-    "df_corr = pd.DataFrame(rows)\n",
-    "\n",
-    "df_client = df_client.merge(df_corr, on=ID_COL, how=\"left\")\n",
-    "\n",
-    "print(df_client.shape)\n",
-    "df_client.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 306,
-   "id": "8c1a0491-a0bb-4165-b073-41f81637466b",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(431, 44)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>n_months</th>\n",
-       "      <th>n_active_months</th>\n",
-       "      <th>flow_freq</th>\n",
-       "      <th>aum_qty_mean</th>\n",
-       "      <th>aum_qty_median</th>\n",
-       "      <th>aum_qty_max</th>\n",
-       "      <th>aum_qty_last</th>\n",
-       "      <th>net_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_sum</th>\n",
-       "      <th>gross_flow_qty_mean</th>\n",
-       "      <th>n_tx_total</th>\n",
-       "      <th>net_flow_vol</th>\n",
-       "      <th>turnover_mean</th>\n",
-       "      <th>turnover_vol</th>\n",
-       "      <th>flow_to_aum_mean</th>\n",
-       "      <th>flow_to_aum_vol</th>\n",
-       "      <th>avg_n_isin_held</th>\n",
-       "      <th>max_n_isin_held</th>\n",
-       "      <th>sub_share_mean</th>\n",
-       "      <th>red_share_mean</th>\n",
-       "      <th>delta_rate_mean</th>\n",
-       "      <th>aum_drawdown_last</th>\n",
-       "      <th>aum_drawdown_max</th>\n",
-       "      <th>region</th>\n",
-       "      <th>country</th>\n",
-       "      <th>n_isin_total</th>\n",
-       "      <th>rel_turnover_mean_avg</th>\n",
-       "      <th>rel_turnover_vol_avg</th>\n",
-       "      <th>rel_flow_to_aum_vol_avg</th>\n",
-       "      <th>full_exit_count</th>\n",
-       "      <th>entry_count</th>\n",
-       "      <th>avg_holding_months_per_isin</th>\n",
-       "      <th>max_holding_months_per_isin</th>\n",
-       "      <th>corr_flow_fund_lag3</th>\n",
-       "      <th>corr_flow_fund_lag6</th>\n",
-       "      <th>corr_flow_bench_lag3</th>\n",
-       "      <th>corr_flow_bench_lag6</th>\n",
-       "      <th>corr_flow_rate_lag3</th>\n",
-       "      <th>corr_flow_rate_lag6</th>\n",
-       "      <th>flow_trend_12m</th>\n",
-       "      <th>aum_trend_12m</th>\n",
-       "      <th>drawdown_trend_12m</th>\n",
-       "      <th>beta_rate</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>18872</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>23477.224308</td>\n",
-       "      <td>14880.4715</td>\n",
-       "      <td>88818.372</td>\n",
-       "      <td>67570.855</td>\n",
-       "      <td>-45677.1480</td>\n",
-       "      <td>1.244126e+06</td>\n",
-       "      <td>9570.200015</td>\n",
-       "      <td>1926.0</td>\n",
-       "      <td>9832.357264</td>\n",
-       "      <td>6.382330e+10</td>\n",
-       "      <td>5.151309e+11</td>\n",
-       "      <td>-2.560792e+10</td>\n",
-       "      <td>2.841988e+11</td>\n",
-       "      <td>7.507692</td>\n",
-       "      <td>26</td>\n",
-       "      <td>0.429844</td>\n",
-       "      <td>-0.576520</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>2.392243e-01</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>107</td>\n",
-       "      <td>4.063407e+11</td>\n",
-       "      <td>8.956214e+11</td>\n",
-       "      <td>8.915940e+11</td>\n",
-       "      <td>310</td>\n",
-       "      <td>344</td>\n",
-       "      <td>9.121495</td>\n",
-       "      <td>36</td>\n",
-       "      <td>0.007825</td>\n",
-       "      <td>0.008326</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.007546</td>\n",
-       "      <td>0.014510</td>\n",
-       "      <td>-1.886348e-02</td>\n",
-       "      <td>2920.070661</td>\n",
-       "      <td>-0.024467</td>\n",
-       "      <td>1.405196e+10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>200000076</td>\n",
-       "      <td>130</td>\n",
-       "      <td>119</td>\n",
-       "      <td>0.915385</td>\n",
-       "      <td>15840.000331</td>\n",
-       "      <td>9272.4710</td>\n",
-       "      <td>50732.461</td>\n",
-       "      <td>44837.203</td>\n",
-       "      <td>54791.9840</td>\n",
-       "      <td>2.314415e+05</td>\n",
-       "      <td>1780.319492</td>\n",
-       "      <td>518.0</td>\n",
-       "      <td>2838.000232</td>\n",
-       "      <td>1.457820e-01</td>\n",
-       "      <td>2.457632e-01</td>\n",
-       "      <td>-1.707090e-02</td>\n",
-       "      <td>2.717209e-01</td>\n",
-       "      <td>4.700000</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0.508681</td>\n",
-       "      <td>-0.415876</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.162029e-01</td>\n",
-       "      <td>0.949206</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>Spain</td>\n",
-       "      <td>22</td>\n",
-       "      <td>6.276897e+10</td>\n",
-       "      <td>2.469731e+11</td>\n",
-       "      <td>2.481822e+11</td>\n",
-       "      <td>71</td>\n",
-       "      <td>81</td>\n",
-       "      <td>27.772727</td>\n",
-       "      <td>85</td>\n",
-       "      <td>0.015278</td>\n",
-       "      <td>0.096449</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.025181</td>\n",
-       "      <td>0.012844</td>\n",
-       "      <td>1.789020e-03</td>\n",
-       "      <td>548.538087</td>\n",
-       "      <td>-0.003843</td>\n",
-       "      <td>-1.283031e-01</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>200000082</td>\n",
-       "      <td>71</td>\n",
-       "      <td>71</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>85194.200239</td>\n",
-       "      <td>25820.0550</td>\n",
-       "      <td>316149.358</td>\n",
-       "      <td>131158.471</td>\n",
-       "      <td>14575.5560</td>\n",
-       "      <td>1.229616e+06</td>\n",
-       "      <td>17318.539183</td>\n",
-       "      <td>4807.0</td>\n",
-       "      <td>13472.042652</td>\n",
-       "      <td>4.056892e+11</td>\n",
-       "      <td>2.421685e+12</td>\n",
-       "      <td>-9.687862e+10</td>\n",
-       "      <td>8.402113e+11</td>\n",
-       "      <td>1.760563</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0.438873</td>\n",
-       "      <td>-0.588724</td>\n",
-       "      <td>0.034282</td>\n",
-       "      <td>5.851376e-01</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1.147803e+12</td>\n",
-       "      <td>1.251086e+12</td>\n",
-       "      <td>1.333111e+12</td>\n",
-       "      <td>100</td>\n",
-       "      <td>101</td>\n",
-       "      <td>6.944444</td>\n",
-       "      <td>19</td>\n",
-       "      <td>-0.019860</td>\n",
-       "      <td>-0.020797</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.022861</td>\n",
-       "      <td>-0.135696</td>\n",
-       "      <td>4.793703e+09</td>\n",
-       "      <td>-10443.281371</td>\n",
-       "      <td>0.033033</td>\n",
-       "      <td>7.995257e+10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>200000146</td>\n",
-       "      <td>130</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>71298.603700</td>\n",
-       "      <td>15953.6355</td>\n",
-       "      <td>519508.539</td>\n",
-       "      <td>519508.539</td>\n",
-       "      <td>457533.3310</td>\n",
-       "      <td>1.150546e+06</td>\n",
-       "      <td>8850.350438</td>\n",
-       "      <td>4774.0</td>\n",
-       "      <td>10074.748210</td>\n",
-       "      <td>4.770901e+00</td>\n",
-       "      <td>2.930221e+01</td>\n",
-       "      <td>3.780801e+00</td>\n",
-       "      <td>2.870987e+01</td>\n",
-       "      <td>6.684615</td>\n",
-       "      <td>14</td>\n",
-       "      <td>0.517815</td>\n",
-       "      <td>-0.556667</td>\n",
-       "      <td>0.013723</td>\n",
-       "      <td>1.887379e-15</td>\n",
-       "      <td>0.999302</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>33</td>\n",
-       "      <td>2.123548e+11</td>\n",
-       "      <td>3.670050e+11</td>\n",
-       "      <td>3.882699e+11</td>\n",
-       "      <td>237</td>\n",
-       "      <td>256</td>\n",
-       "      <td>26.333333</td>\n",
-       "      <td>54</td>\n",
-       "      <td>0.281071</td>\n",
-       "      <td>-0.020188</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.018482</td>\n",
-       "      <td>-0.018833</td>\n",
-       "      <td>-9.860558e-02</td>\n",
-       "      <td>24136.047846</td>\n",
-       "      <td>-0.049820</td>\n",
-       "      <td>-4.842472e+00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>200000147</td>\n",
-       "      <td>129</td>\n",
-       "      <td>129</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>35957.851907</td>\n",
-       "      <td>18047.3390</td>\n",
-       "      <td>174703.188</td>\n",
-       "      <td>8478.402</td>\n",
-       "      <td>677424.2191</td>\n",
-       "      <td>1.210845e+06</td>\n",
-       "      <td>9386.398474</td>\n",
-       "      <td>7523.0</td>\n",
-       "      <td>13914.783110</td>\n",
-       "      <td>1.775257e+00</td>\n",
-       "      <td>8.769726e+00</td>\n",
-       "      <td>1.150007e+00</td>\n",
-       "      <td>7.862819e+00</td>\n",
-       "      <td>13.162791</td>\n",
-       "      <td>27</td>\n",
-       "      <td>0.599433</td>\n",
-       "      <td>-0.448172</td>\n",
-       "      <td>0.013837</td>\n",
-       "      <td>9.514697e-01</td>\n",
-       "      <td>0.996847</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>Italy</td>\n",
-       "      <td>78</td>\n",
-       "      <td>5.279255e+11</td>\n",
-       "      <td>6.892142e+11</td>\n",
-       "      <td>6.858178e+11</td>\n",
-       "      <td>596</td>\n",
-       "      <td>619</td>\n",
-       "      <td>21.769231</td>\n",
-       "      <td>49</td>\n",
-       "      <td>-0.026933</td>\n",
-       "      <td>-0.010493</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-0.204637</td>\n",
-       "      <td>-0.109646</td>\n",
-       "      <td>1.129487e+00</td>\n",
-       "      <td>2098.385472</td>\n",
-       "      <td>-0.012011</td>\n",
-       "      <td>-2.472128e+00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Registrar Account - ID  n_months  n_active_months  flow_freq  aum_qty_mean  \\\n",
-       "0                  18872       130              130   1.000000  23477.224308   \n",
-       "1              200000076       130              119   0.915385  15840.000331   \n",
-       "2              200000082        71               71   1.000000  85194.200239   \n",
-       "3              200000146       130              130   1.000000  71298.603700   \n",
-       "4              200000147       129              129   1.000000  35957.851907   \n",
-       "\n",
-       "   aum_qty_median  aum_qty_max  aum_qty_last  net_flow_qty_sum  \\\n",
-       "0      14880.4715    88818.372     67570.855       -45677.1480   \n",
-       "1       9272.4710    50732.461     44837.203        54791.9840   \n",
-       "2      25820.0550   316149.358    131158.471        14575.5560   \n",
-       "3      15953.6355   519508.539    519508.539       457533.3310   \n",
-       "4      18047.3390   174703.188      8478.402       677424.2191   \n",
-       "\n",
-       "   gross_flow_qty_sum  gross_flow_qty_mean  n_tx_total  net_flow_vol  \\\n",
-       "0        1.244126e+06          9570.200015      1926.0   9832.357264   \n",
-       "1        2.314415e+05          1780.319492       518.0   2838.000232   \n",
-       "2        1.229616e+06         17318.539183      4807.0  13472.042652   \n",
-       "3        1.150546e+06          8850.350438      4774.0  10074.748210   \n",
-       "4        1.210845e+06          9386.398474      7523.0  13914.783110   \n",
-       "\n",
-       "   turnover_mean  turnover_vol  flow_to_aum_mean  flow_to_aum_vol  \\\n",
-       "0   6.382330e+10  5.151309e+11     -2.560792e+10     2.841988e+11   \n",
-       "1   1.457820e-01  2.457632e-01     -1.707090e-02     2.717209e-01   \n",
-       "2   4.056892e+11  2.421685e+12     -9.687862e+10     8.402113e+11   \n",
-       "3   4.770901e+00  2.930221e+01      3.780801e+00     2.870987e+01   \n",
-       "4   1.775257e+00  8.769726e+00      1.150007e+00     7.862819e+00   \n",
-       "\n",
-       "   avg_n_isin_held  max_n_isin_held  sub_share_mean  red_share_mean  \\\n",
-       "0         7.507692               26        0.429844       -0.576520   \n",
-       "1         4.700000                9        0.508681       -0.415876   \n",
-       "2         1.760563                4        0.438873       -0.588724   \n",
-       "3         6.684615               14        0.517815       -0.556667   \n",
-       "4        13.162791               27        0.599433       -0.448172   \n",
-       "\n",
-       "   delta_rate_mean  aum_drawdown_last  aum_drawdown_max       region  \\\n",
-       "0         0.013723       2.392243e-01          1.000000  Switzerland   \n",
-       "1         0.013723       1.162029e-01          0.949206        Spain   \n",
-       "2         0.034282       5.851376e-01          1.000000        Italy   \n",
-       "3         0.013723       1.887379e-15          0.999302        Italy   \n",
-       "4         0.013837       9.514697e-01          0.996847        Italy   \n",
-       "\n",
-       "       country  n_isin_total  rel_turnover_mean_avg  rel_turnover_vol_avg  \\\n",
-       "0  Switzerland           107           4.063407e+11          8.956214e+11   \n",
-       "1        Spain            22           6.276897e+10          2.469731e+11   \n",
-       "2        Italy            18           1.147803e+12          1.251086e+12   \n",
-       "3        Italy            33           2.123548e+11          3.670050e+11   \n",
-       "4        Italy            78           5.279255e+11          6.892142e+11   \n",
-       "\n",
-       "   rel_flow_to_aum_vol_avg  full_exit_count  entry_count  \\\n",
-       "0             8.915940e+11              310          344   \n",
-       "1             2.481822e+11               71           81   \n",
-       "2             1.333111e+12              100          101   \n",
-       "3             3.882699e+11              237          256   \n",
-       "4             6.858178e+11              596          619   \n",
-       "\n",
-       "   avg_holding_months_per_isin  max_holding_months_per_isin  \\\n",
-       "0                     9.121495                           36   \n",
-       "1                    27.772727                           85   \n",
-       "2                     6.944444                           19   \n",
-       "3                    26.333333                           54   \n",
-       "4                    21.769231                           49   \n",
-       "\n",
-       "   corr_flow_fund_lag3  corr_flow_fund_lag6  corr_flow_bench_lag3  \\\n",
-       "0             0.007825             0.008326                   NaN   \n",
-       "1             0.015278             0.096449                   NaN   \n",
-       "2            -0.019860            -0.020797                   NaN   \n",
-       "3             0.281071            -0.020188                   NaN   \n",
-       "4            -0.026933            -0.010493                   NaN   \n",
-       "\n",
-       "   corr_flow_bench_lag6  corr_flow_rate_lag3  corr_flow_rate_lag6  \\\n",
-       "0                   NaN             0.007546             0.014510   \n",
-       "1                   NaN            -0.025181             0.012844   \n",
-       "2                   NaN             0.022861            -0.135696   \n",
-       "3                   NaN            -0.018482            -0.018833   \n",
-       "4                   NaN            -0.204637            -0.109646   \n",
-       "\n",
-       "   flow_trend_12m  aum_trend_12m  drawdown_trend_12m     beta_rate  \n",
-       "0   -1.886348e-02    2920.070661           -0.024467  1.405196e+10  \n",
-       "1    1.789020e-03     548.538087           -0.003843 -1.283031e-01  \n",
-       "2    4.793703e+09  -10443.281371            0.033033  7.995257e+10  \n",
-       "3   -9.860558e-02   24136.047846           -0.049820 -4.842472e+00  \n",
-       "4    1.129487e+00    2098.385472           -0.012011 -2.472128e+00  "
-      ]
-     },
-     "execution_count": 306,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "def compute_trend(y):\n",
-    "    y = np.asarray(y, dtype=float)\n",
-    "    if len(y) < 4:\n",
-    "        return np.nan\n",
-    "    x = np.arange(len(y)).reshape(-1, 1)\n",
-    "    mask = np.isfinite(y)\n",
-    "    if mask.sum() < 4:\n",
-    "        return np.nan\n",
-    "    reg = LinearRegression().fit(x[mask], y[mask])\n",
-    "    return reg.coef_[0]\n",
-    "\n",
-    "def compute_beta(y, x):\n",
-    "    y = np.asarray(y, dtype=float)\n",
-    "    x = np.asarray(x, dtype=float)\n",
-    "    mask = np.isfinite(y) & np.isfinite(x)\n",
-    "    if mask.sum() < 6:\n",
-    "        return np.nan\n",
-    "    reg = LinearRegression().fit(x[mask].reshape(-1, 1), y[mask])\n",
-    "    return reg.coef_[0]\n",
-    "\n",
-    "rows = []\n",
-    "\n",
-    "for acc, g in df_month.groupby(ID_COL):\n",
-    "    g = g.sort_values(\"month\")\n",
-    "\n",
-    "    flow = g[\"flow_to_aum_m\"].values\n",
-    "    aum = g[\"aum_qty\"].values\n",
-    "    delta_rate = g[\"delta_rate_m\"].values\n",
-    "    drawdown = g[\"aum_drawdown\"].values\n",
-    "\n",
-    "    rows.append({\n",
-    "        ID_COL: acc,\n",
-    "        \"flow_trend_12m\": compute_trend(flow[-12:]),\n",
-    "        \"aum_trend_12m\": compute_trend(aum[-12:]),\n",
-    "        \"drawdown_trend_12m\": compute_trend(drawdown[-12:]),\n",
-    "        \"beta_rate\": compute_beta(flow, delta_rate)\n",
-    "    })\n",
-    "\n",
-    "df_beta = pd.DataFrame(rows)\n",
-    "\n",
-    "df_client = df_client.merge(df_beta, on=ID_COL, how=\"left\")\n",
-    "\n",
-    "print(df_client.shape)\n",
-    "df_client.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 307,
-   "id": "4e4ea46f-5c3d-4a4a-b79c-ff5ae8973bad",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "seg_2D\n",
-      "Highly active (high int, high freq)             137\n",
-      "Dormant (low int, low freq)                     134\n",
-      "Small rebalancers (low int, high freq)           80\n",
-      "Occasional large movers (high int, low freq)     80\n",
-      "Name: count, dtype: int64\n",
-      "thr_int: 5.739688017572092 thr_freq: 0.8\n"
-     ]
-    }
-   ],
-   "source": [
-    "df_client[\"rel_intensity_total\"] = df_client[\"gross_flow_qty_sum\"]/df_client[\"aum_qty_mean\"]  # turnover proxy\n",
-    "df_client[\"frequency\"] = df_client[\"flow_freq\"]                    # share of active months\n",
-    "\n",
-    "# Thresholds: medians (simple + explainable)\n",
-    "thr_int = df_client[\"rel_intensity_total\"].median()\n",
-    "thr_freq = df_client[\"frequency\"].median()\n",
-    "\n",
-    "def quadrant(row):\n",
-    "    low_int = row[\"rel_intensity_total\"] < thr_int\n",
-    "    low_frq = row[\"frequency\"] < thr_freq\n",
-    "\n",
-    "    if low_int and low_frq:\n",
-    "        return \"Dormant (low int, low freq)\"\n",
-    "    if low_int and (not low_frq):\n",
-    "        return \"Small rebalancers (low int, high freq)\"\n",
-    "    if (not low_int) and low_frq:\n",
-    "        return \"Occasional large movers (high int, low freq)\"\n",
-    "    return \"Highly active (high int, high freq)\"\n",
-    "\n",
-    "df_client[\"seg_2D\"] = df_client.apply(quadrant, axis=1)\n",
-    "\n",
-    "print(df_client[\"seg_2D\"].value_counts())\n",
-    "print(\"thr_int:\", thr_int, \"thr_freq:\", thr_freq)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 308,
-   "id": "09943df7-8c78-4c51-b387-866c5cddd392",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "plt.style.use('default')\n",
-    "plt.figure()\n",
-    "for name, g in df_client.groupby(\"seg_2D\"):\n",
-    "    plt.scatter(g[\"frequency\"], g[\"rel_intensity_total\"], s=10, label=name)\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_int, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency (400+ Accounts)\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 309,
-   "id": "9eb5fbb8-1a7b-434c-ba36-3c2a560b4cb1",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Nb clients = 404\n",
-      "Nb features = 35\n",
-      "['log_aum_qty_mean', 'flow_freq', 'gross_flow_to_aum', 'flow_to_aum_vol', 'activity_intensity', 'n_tx_total', 'avg_n_isin_held', 'n_isin_total', 'avg_holding_months_per_isin', 'exit_rate_per_isin', 'flow_direction_balance', 'aum_drawdown_last', 'corr_flow_fund_lag3', 'corr_flow_fund_lag6', 'corr_flow_rate_lag3', 'country_grp_France', 'country_grp_Germany', 'country_grp_Italy', 'country_grp_Luxembourg', 'country_grp_Monaco', 'country_grp_Other', 'country_grp_Spain', 'country_grp_Sweden', 'country_grp_Switzerland', 'country_grp_United Kingdom', 'region_grp_France', 'region_grp_Germany', 'region_grp_International', 'region_grp_Italy', 'region_grp_Luxembourg', 'region_grp_Nordics', 'region_grp_Other', 'region_grp_Spain', 'region_grp_Switzerland', 'region_grp_United Kingdom']\n"
-     ]
-    }
-   ],
-   "source": [
-    "dfc = df_client.copy()\n",
-    "\n",
-    "dfc[\"gross_flow_to_aum\"] = dfc[\"gross_flow_qty_sum\"] / (dfc[\"aum_qty_mean\"].abs() + EPS)\n",
-    "dfc[\"avg_ticket\"] = dfc[\"gross_flow_qty_sum\"] / (dfc[\"n_tx_total\"] + EPS)\n",
-    "dfc[\"flow_direction_balance\"] = dfc[\"net_flow_qty_sum\"] / (dfc[\"gross_flow_qty_sum\"] + EPS)\n",
-    "dfc[\"redemption_bias\"] = dfc[\"red_share_mean\"] - dfc[\"sub_share_mean\"]\n",
-    "dfc[\"activity_intensity\"] = dfc[\"n_tx_total\"] / (dfc[\"n_months\"] + EPS)\n",
-    "dfc[\"exit_rate_per_isin\"] = dfc[\"full_exit_count\"] / (dfc[\"n_isin_total\"] + EPS)\n",
-    "dfc[\"entry_rate_per_isin\"] = dfc[\"entry_count\"] / (dfc[\"n_isin_total\"] + EPS)\n",
-    "dfc[\"aum_final_to_peak\"] = dfc[\"aum_qty_last\"] / (dfc[\"aum_qty_max\"] + EPS)\n",
-    "\n",
-    "for col in [\"aum_qty_mean\", \"gross_flow_qty_sum\", \"n_tx_total\", \"avg_ticket\", \"gross_flow_qty_mean\"]:\n",
-    "    dfc[f\"log_{col}\"] = np.log1p(dfc[col].clip(lower=0))\n",
-    "\n",
-    "dfc = dfc[(dfc[\"n_months\"] >= 6) & (dfc[\"aum_qty_mean\"] > 0)].copy()\n",
-    "\n",
-    "top_countries = dfc[\"country\"].fillna(\"Unknown\").value_counts().head(10).index\n",
-    "top_regions = dfc[\"region\"].fillna(\"Unknown\").value_counts().head(10).index\n",
-    "\n",
-    "dfc[\"country_grp\"] = np.where(dfc[\"country\"].isin(top_countries), dfc[\"country\"], \"Other\")\n",
-    "dfc[\"region_grp\"] = np.where(dfc[\"region\"].isin(top_regions), dfc[\"region\"], \"Other\")\n",
-    "\n",
-    "base_features = [\n",
-    "    \"log_aum_qty_mean\",\n",
-    "    \"flow_freq\",\n",
-    "    \"gross_flow_to_aum\",\n",
-    "    #\"turnover_vol\",\n",
-    "    \"flow_to_aum_vol\",\n",
-    "    \"activity_intensity\",\n",
-    "    \"n_tx_total\",\n",
-    "    \"avg_n_isin_held\",\n",
-    "    \"n_isin_total\",\n",
-    "    \"avg_holding_months_per_isin\",\n",
-    "    \"exit_rate_per_isin\",\n",
-    "    \"flow_direction_balance\",\n",
-    "    #\"redemption_bias\",\n",
-    "    \"aum_drawdown_last\",\n",
-    "    \"corr_flow_fund_lag3\",\n",
-    "    \"corr_flow_fund_lag6\",\n",
-    "    \"corr_flow_rate_lag3\",\n",
-    "    #\"corr_flow_rate_lag6\",\n",
-    "    #\"corr_flow_bench_lag3\",\n",
-    "    #\"corr_flow_bench_lag6\"\n",
-    "    \n",
-    "]\n",
-    "\n",
-    "base_features2 = [\n",
-    "    \"log_aum_qty_mean\",\n",
-    "    \"log_gross_flow_qty_mean\",\n",
-    "    \"n_tx_total\",\n",
-    "    \"flow_freq\",\n",
-    "    \"gross_flow_to_aum\",\n",
-    "    \"net_flow_vol\",\n",
-    "    #\"avg_n_isin_held\",\n",
-    "    #\"flow_direction_balance\",\n",
-    "]\n",
-    "\n",
-    "base_features = [c for c in base_features if c in dfc.columns]\n",
-    "\n",
-    "X_num = dfc[base_features].replace([np.inf, -np.inf], np.nan).fillna(dfc[base_features].median())\n",
-    "X_cat = pd.get_dummies(dfc[[\"country_grp\", \"region_grp\"]].fillna(\"Unknown\"), drop_first=True)\n",
-    "\n",
-    "X = pd.concat([X_num.reset_index(drop=True), X_cat.reset_index(drop=True)], axis=1)\n",
-    "\n",
-    "scaler = StandardScaler()\n",
-    "scaler2 = RobustScaler()\n",
-    "\n",
-    "X_scaled = scaler.fit_transform(X_num)\n",
-    "X_scaled2 = scaler2.fit_transform(X_num)\n",
-    "\n",
-    "print(\"Nb clients =\", X.shape[0])\n",
-    "print(\"Nb features =\", X.shape[1])\n",
-    "print(X.columns.tolist())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 310,
-   "id": "5f006fc0-d0e7-47b2-94f0-7e3bbdf91097",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>k</th>\n",
-       "      <th>inertia</th>\n",
-       "      <th>silhouette</th>\n",
-       "      <th>davies_bouldin</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2</td>\n",
-       "      <td>5178.843770</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>3</td>\n",
-       "      <td>4741.629415</td>\n",
-       "      <td>0.132598</td>\n",
-       "      <td>2.166657</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>4</td>\n",
-       "      <td>4394.702026</td>\n",
-       "      <td>0.124785</td>\n",
-       "      <td>2.073192</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>5</td>\n",
-       "      <td>4115.441587</td>\n",
-       "      <td>0.133249</td>\n",
-       "      <td>1.787169</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>6</td>\n",
-       "      <td>3865.546167</td>\n",
-       "      <td>0.127431</td>\n",
-       "      <td>1.759628</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>7</td>\n",
-       "      <td>3679.273300</td>\n",
-       "      <td>0.135589</td>\n",
-       "      <td>1.702516</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>8</td>\n",
-       "      <td>3448.452307</td>\n",
-       "      <td>0.139533</td>\n",
-       "      <td>1.634761</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>9</td>\n",
-       "      <td>3321.805201</td>\n",
-       "      <td>0.121927</td>\n",
-       "      <td>1.709083</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>10</td>\n",
-       "      <td>3167.889248</td>\n",
-       "      <td>0.128239</td>\n",
-       "      <td>1.605403</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>11</td>\n",
-       "      <td>3048.339811</td>\n",
-       "      <td>0.134592</td>\n",
-       "      <td>1.620711</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>12</td>\n",
-       "      <td>2931.256053</td>\n",
-       "      <td>0.139258</td>\n",
-       "      <td>1.550705</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>13</td>\n",
-       "      <td>2847.001592</td>\n",
-       "      <td>0.144681</td>\n",
-       "      <td>1.537896</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>14</td>\n",
-       "      <td>2742.565943</td>\n",
-       "      <td>0.152159</td>\n",
-       "      <td>1.455955</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>15</td>\n",
-       "      <td>2647.758120</td>\n",
-       "      <td>0.148589</td>\n",
-       "      <td>1.469929</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>16</td>\n",
-       "      <td>2576.736131</td>\n",
-       "      <td>0.132343</td>\n",
-       "      <td>1.498820</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>17</td>\n",
-       "      <td>2520.993893</td>\n",
-       "      <td>0.137837</td>\n",
-       "      <td>1.491089</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>18</td>\n",
-       "      <td>2443.613239</td>\n",
-       "      <td>0.135204</td>\n",
-       "      <td>1.450617</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>19</td>\n",
-       "      <td>2368.363384</td>\n",
-       "      <td>0.151232</td>\n",
-       "      <td>1.428163</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>20</td>\n",
-       "      <td>2348.022385</td>\n",
-       "      <td>0.134130</td>\n",
-       "      <td>1.432542</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     k      inertia  silhouette  davies_bouldin\n",
-       "0    2  5178.843770         NaN             NaN\n",
-       "1    3  4741.629415    0.132598        2.166657\n",
-       "2    4  4394.702026    0.124785        2.073192\n",
-       "3    5  4115.441587    0.133249        1.787169\n",
-       "4    6  3865.546167    0.127431        1.759628\n",
-       "5    7  3679.273300    0.135589        1.702516\n",
-       "6    8  3448.452307    0.139533        1.634761\n",
-       "7    9  3321.805201    0.121927        1.709083\n",
-       "8   10  3167.889248    0.128239        1.605403\n",
-       "9   11  3048.339811    0.134592        1.620711\n",
-       "10  12  2931.256053    0.139258        1.550705\n",
-       "11  13  2847.001592    0.144681        1.537896\n",
-       "12  14  2742.565943    0.152159        1.455955\n",
-       "13  15  2647.758120    0.148589        1.469929\n",
-       "14  16  2576.736131    0.132343        1.498820\n",
-       "15  17  2520.993893    0.137837        1.491089\n",
-       "16  18  2443.613239    0.135204        1.450617\n",
-       "17  19  2368.363384    0.151232        1.428163\n",
-       "18  20  2348.022385    0.134130        1.432542"
-      ]
-     },
-     "execution_count": 310,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rows = []\n",
-    "\n",
-    "for k in range(2, 21):\n",
-    "    km = KMeans(n_clusters=k, n_init=30, random_state=42)\n",
-    "    labels = km.fit_predict(X_scaled)\n",
-    "\n",
-    "    row = {\n",
-    "        \"k\": k,\n",
-    "        \"inertia\": km.inertia_\n",
-    "    }\n",
-    "\n",
-    "    if k >= 3:\n",
-    "        row[\"silhouette\"] = silhouette_score(X_scaled, labels)\n",
-    "        row[\"davies_bouldin\"] = davies_bouldin_score(X_scaled, labels)\n",
-    "    else:\n",
-    "        row[\"silhouette\"] = np.nan\n",
-    "        row[\"davies_bouldin\"] = np.nan\n",
-    "\n",
-    "    rows.append(row)\n",
-    "\n",
-    "df_kdiag = pd.DataFrame(rows)\n",
-    "df_kdiag"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 311,
-   "id": "0198c399-f532-44c5-91a7-d4e0a27887ec",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1600x400 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 3, figsize=(16, 4))\n",
-    "\n",
-    "axes[0].plot(df_kdiag[\"k\"], df_kdiag[\"inertia\"], marker=\"o\")\n",
-    "axes[0].set_title(\"Elbow / Inertia\")\n",
-    "axes[0].set_xlabel(\"K\")\n",
-    "\n",
-    "axes[1].plot(df_kdiag[\"k\"], df_kdiag[\"silhouette\"], marker=\"o\")\n",
-    "axes[1].set_title(\"Silhouette\")\n",
-    "axes[1].set_xlabel(\"K\")\n",
-    "\n",
-    "axes[2].plot(df_kdiag[\"k\"], df_kdiag[\"davies_bouldin\"], marker=\"o\")\n",
-    "axes[2].set_title(\"Davies-Bouldin\")\n",
-    "axes[2].set_xlabel(\"K\")\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 312,
-   "id": "5ba1f3bf-7fd7-49aa-8b28-0ca0f2658bf0",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "K=2 | silhouette=0.2357 | davies_bouldin=1.8611\n",
-      "K=4 | silhouette=0.1262 | davies_bouldin=2.0735\n",
-      "K=5 | silhouette=0.1332 | davies_bouldin=1.7872\n"
-     ]
-    }
-   ],
-   "source": [
-    "RESULTS = {}\n",
-    "\n",
-    "for k in [2, 4, 5]:\n",
-    "    km = KMeans(n_clusters=k, n_init=50, random_state=42)\n",
-    "    labels = km.fit_predict(X_scaled)\n",
-    "    dfc[f\"cluster_k{k}\"] = labels\n",
-    "\n",
-    "    RESULTS[k] = {\n",
-    "        \"model\": km,\n",
-    "        \"labels\": labels,\n",
-    "        \"silhouette\": silhouette_score(X_scaled, labels),\n",
-    "        \"davies_bouldin\": davies_bouldin_score(X_scaled, labels)\n",
-    "    }\n",
-    "\n",
-    "for k in [2, 4, 5]:\n",
-    "    print(f\"K={k} | silhouette={RESULTS[k]['silhouette']:.4f} | davies_bouldin={RESULTS[k]['davies_bouldin']:.4f}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 313,
-   "id": "0052976f-e30f-4f84-b720-6fa4a9078aba",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== K=2 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_mean_med</th>\n",
-       "      <th>gross_flow_to_aum_med</th>\n",
-       "      <th>flow_freq_med</th>\n",
-       "      <th>n_tx_total_med</th>\n",
-       "      <th>avg_n_isin_held_med</th>\n",
-       "      <th>n_isin_total_med</th>\n",
-       "      <th>avg_holding_months_per_isin_med</th>\n",
-       "      <th>exit_rate_per_isin_med</th>\n",
-       "      <th>flow_direction_balance_med</th>\n",
-       "      <th>redemption_bias_med</th>\n",
-       "      <th>aum_drawdown_last_med</th>\n",
-       "      <th>aum_final_to_peak_med</th>\n",
-       "      <th>corr_flow_fund_lag3_med</th>\n",
-       "      <th>corr_flow_fund_lag6_med</th>\n",
-       "      <th>corr_flow_rate_lag3_med</th>\n",
-       "      <th>corr_flow_rate_lag6_med</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k2</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>327</td>\n",
-       "      <td>21039.415608</td>\n",
-       "      <td>5.516534</td>\n",
-       "      <td>0.730769</td>\n",
-       "      <td>469.0</td>\n",
-       "      <td>2.347826</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>1.416667</td>\n",
-       "      <td>0.042861</td>\n",
-       "      <td>-0.762943</td>\n",
-       "      <td>0.818922</td>\n",
-       "      <td>0.181078</td>\n",
-       "      <td>0.002365</td>\n",
-       "      <td>0.004122</td>\n",
-       "      <td>0.000339</td>\n",
-       "      <td>0.000122</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>77</td>\n",
-       "      <td>133315.879515</td>\n",
-       "      <td>10.375358</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>8861.0</td>\n",
-       "      <td>14.769231</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>34.765306</td>\n",
-       "      <td>2.515152</td>\n",
-       "      <td>0.026428</td>\n",
-       "      <td>-1.057873</td>\n",
-       "      <td>0.505165</td>\n",
-       "      <td>0.494835</td>\n",
-       "      <td>0.041515</td>\n",
-       "      <td>0.023970</td>\n",
-       "      <td>-0.045190</td>\n",
-       "      <td>-0.046754</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            n_clients  aum_qty_mean_med  gross_flow_to_aum_med  flow_freq_med  \\\n",
-       "cluster_k2                                                                      \n",
-       "0                 327      21039.415608               5.516534       0.730769   \n",
-       "1                  77     133315.879515              10.375358       1.000000   \n",
-       "\n",
-       "            n_tx_total_med  avg_n_isin_held_med  n_isin_total_med  \\\n",
-       "cluster_k2                                                          \n",
-       "0                    469.0             2.347826              20.0   \n",
-       "1                   8861.0            14.769231              56.0   \n",
-       "\n",
-       "            avg_holding_months_per_isin_med  exit_rate_per_isin_med  \\\n",
-       "cluster_k2                                                            \n",
-       "0                                 10.000000                1.416667   \n",
-       "1                                 34.765306                2.515152   \n",
-       "\n",
-       "            flow_direction_balance_med  redemption_bias_med  \\\n",
-       "cluster_k2                                                    \n",
-       "0                             0.042861            -0.762943   \n",
-       "1                             0.026428            -1.057873   \n",
-       "\n",
-       "            aum_drawdown_last_med  aum_final_to_peak_med  \\\n",
-       "cluster_k2                                                 \n",
-       "0                        0.818922               0.181078   \n",
-       "1                        0.505165               0.494835   \n",
-       "\n",
-       "            corr_flow_fund_lag3_med  corr_flow_fund_lag6_med  \\\n",
-       "cluster_k2                                                     \n",
-       "0                          0.002365                 0.004122   \n",
-       "1                          0.041515                 0.023970   \n",
-       "\n",
-       "            corr_flow_rate_lag3_med  corr_flow_rate_lag6_med  \n",
-       "cluster_k2                                                    \n",
-       "0                          0.000339                 0.000122  \n",
-       "1                         -0.045190                -0.046754  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== K=4 =====\n"
-     ]
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-     "data": {
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>aum_qty_mean_med</th>\n",
-       "      <th>gross_flow_to_aum_med</th>\n",
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-       "      <th>corr_flow_rate_lag6_med</th>\n",
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-       "    <tr>\n",
-       "      <th>cluster_k4</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "      <th></th>\n",
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-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>165</td>\n",
-       "      <td>14436.315829</td>\n",
-       "      <td>17.218849</td>\n",
-       "      <td>0.949153</td>\n",
-       "      <td>1252.0</td>\n",
-       "      <td>2.527559</td>\n",
-       "      <td>29.0</td>\n",
-       "      <td>7.756757</td>\n",
-       "      <td>3.093750</td>\n",
-       "      <td>0.018779</td>\n",
-       "      <td>-0.996486</td>\n",
-       "      <td>0.916665</td>\n",
-       "      <td>0.083335</td>\n",
-       "      <td>0.000208</td>\n",
-       "      <td>0.001381</td>\n",
-       "      <td>-0.002783</td>\n",
-       "      <td>-0.003603</td>\n",
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-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>131</td>\n",
-       "      <td>28566.131306</td>\n",
-       "      <td>0.894162</td>\n",
-       "      <td>0.123077</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>1.650000</td>\n",
-       "      <td>15.0</td>\n",
-       "      <td>8.500000</td>\n",
-       "      <td>0.619718</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>-0.127257</td>\n",
-       "      <td>0.792318</td>\n",
-       "      <td>0.207682</td>\n",
-       "      <td>-0.000988</td>\n",
-       "      <td>0.000061</td>\n",
-       "      <td>0.014765</td>\n",
-       "      <td>0.015976</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>86</td>\n",
-       "      <td>76209.164582</td>\n",
-       "      <td>4.871121</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2339.0</td>\n",
-       "      <td>11.116667</td>\n",
-       "      <td>25.5</td>\n",
-       "      <td>40.643704</td>\n",
-       "      <td>0.750000</td>\n",
-       "      <td>0.154712</td>\n",
-       "      <td>-1.021555</td>\n",
-       "      <td>0.216071</td>\n",
-       "      <td>0.783929</td>\n",
-       "      <td>0.030799</td>\n",
-       "      <td>0.022152</td>\n",
-       "      <td>-0.036992</td>\n",
-       "      <td>-0.046754</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>22</td>\n",
-       "      <td>335180.430008</td>\n",
-       "      <td>15.652972</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>20193.0</td>\n",
-       "      <td>13.237500</td>\n",
-       "      <td>81.0</td>\n",
-       "      <td>19.072084</td>\n",
-       "      <td>5.158364</td>\n",
-       "      <td>0.028313</td>\n",
-       "      <td>-1.100355</td>\n",
-       "      <td>0.651444</td>\n",
-       "      <td>0.348556</td>\n",
-       "      <td>0.096447</td>\n",
-       "      <td>0.077212</td>\n",
-       "      <td>-0.029813</td>\n",
-       "      <td>-0.031076</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
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-      "text/plain": [
-       "            n_clients  aum_qty_mean_med  gross_flow_to_aum_med  flow_freq_med  \\\n",
-       "cluster_k4                                                                      \n",
-       "3                 165      14436.315829              17.218849       0.949153   \n",
-       "0                 131      28566.131306               0.894162       0.123077   \n",
-       "2                  86      76209.164582               4.871121       1.000000   \n",
-       "1                  22     335180.430008              15.652972       1.000000   \n",
-       "\n",
-       "            n_tx_total_med  avg_n_isin_held_med  n_isin_total_med  \\\n",
-       "cluster_k4                                                          \n",
-       "3                   1252.0             2.527559              29.0   \n",
-       "0                     14.0             1.650000              15.0   \n",
-       "2                   2339.0            11.116667              25.5   \n",
-       "1                  20193.0            13.237500              81.0   \n",
-       "\n",
-       "            avg_holding_months_per_isin_med  exit_rate_per_isin_med  \\\n",
-       "cluster_k4                                                            \n",
-       "3                                  7.756757                3.093750   \n",
-       "0                                  8.500000                0.619718   \n",
-       "2                                 40.643704                0.750000   \n",
-       "1                                 19.072084                5.158364   \n",
-       "\n",
-       "            flow_direction_balance_med  redemption_bias_med  \\\n",
-       "cluster_k4                                                    \n",
-       "3                             0.018779            -0.996486   \n",
-       "0                             0.000000            -0.127257   \n",
-       "2                             0.154712            -1.021555   \n",
-       "1                             0.028313            -1.100355   \n",
-       "\n",
-       "            aum_drawdown_last_med  aum_final_to_peak_med  \\\n",
-       "cluster_k4                                                 \n",
-       "3                        0.916665               0.083335   \n",
-       "0                        0.792318               0.207682   \n",
-       "2                        0.216071               0.783929   \n",
-       "1                        0.651444               0.348556   \n",
-       "\n",
-       "            corr_flow_fund_lag3_med  corr_flow_fund_lag6_med  \\\n",
-       "cluster_k4                                                     \n",
-       "3                          0.000208                 0.001381   \n",
-       "0                         -0.000988                 0.000061   \n",
-       "2                          0.030799                 0.022152   \n",
-       "1                          0.096447                 0.077212   \n",
-       "\n",
-       "            corr_flow_rate_lag3_med  corr_flow_rate_lag6_med  \n",
-       "cluster_k4                                                    \n",
-       "3                         -0.002783                -0.003603  \n",
-       "0                          0.014765                 0.015976  \n",
-       "2                         -0.036992                -0.046754  \n",
-       "1                         -0.029813                -0.031076  "
-      ]
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-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== K=5 =====\n"
-     ]
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-       "    <tr>\n",
-       "      <th>cluster_k5</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>168</td>\n",
-       "      <td>12566.405685</td>\n",
-       "      <td>16.253847</td>\n",
-       "      <td>0.911577</td>\n",
-       "      <td>1094.5</td>\n",
-       "      <td>2.524180</td>\n",
-       "      <td>28.5</td>\n",
-       "      <td>8.166667</td>\n",
-       "      <td>2.955196</td>\n",
-       "      <td>0.036286</td>\n",
-       "      <td>-0.970398</td>\n",
-       "      <td>0.914496</td>\n",
-       "      <td>0.085504</td>\n",
-       "      <td>0.001715</td>\n",
-       "      <td>0.003794</td>\n",
-       "      <td>-0.000844</td>\n",
-       "      <td>0.001543</td>\n",
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-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>111</td>\n",
-       "      <td>37555.632000</td>\n",
-       "      <td>0.661205</td>\n",
-       "      <td>0.076923</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>1.511111</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>8.290323</td>\n",
-       "      <td>0.586207</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>-0.076923</td>\n",
-       "      <td>0.818922</td>\n",
-       "      <td>0.181078</td>\n",
-       "      <td>-0.002355</td>\n",
-       "      <td>-0.000290</td>\n",
-       "      <td>0.011330</td>\n",
-       "      <td>0.021365</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>90</td>\n",
-       "      <td>59767.645164</td>\n",
-       "      <td>4.216773</td>\n",
-       "      <td>0.995868</td>\n",
-       "      <td>1725.5</td>\n",
-       "      <td>10.811538</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>39.349432</td>\n",
-       "      <td>0.708536</td>\n",
-       "      <td>0.177072</td>\n",
-       "      <td>-1.017685</td>\n",
-       "      <td>0.181774</td>\n",
-       "      <td>0.818226</td>\n",
-       "      <td>0.029066</td>\n",
-       "      <td>0.024737</td>\n",
-       "      <td>-0.025887</td>\n",
-       "      <td>-0.038057</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30</td>\n",
-       "      <td>212211.195227</td>\n",
-       "      <td>15.786289</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>17459.5</td>\n",
-       "      <td>9.768395</td>\n",
-       "      <td>77.5</td>\n",
-       "      <td>17.601779</td>\n",
-       "      <td>5.770464</td>\n",
-       "      <td>0.028313</td>\n",
-       "      <td>-1.083467</td>\n",
-       "      <td>0.691744</td>\n",
-       "      <td>0.308256</td>\n",
-       "      <td>0.062011</td>\n",
-       "      <td>0.052249</td>\n",
-       "      <td>-0.031718</td>\n",
-       "      <td>-0.037537</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>5</td>\n",
-       "      <td>114674.703704</td>\n",
-       "      <td>7.607274</td>\n",
-       "      <td>0.944444</td>\n",
-       "      <td>1221.0</td>\n",
-       "      <td>0.861111</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>3.800000</td>\n",
-       "      <td>2.600000</td>\n",
-       "      <td>-0.049426</td>\n",
-       "      <td>-1.237358</td>\n",
-       "      <td>0.999914</td>\n",
-       "      <td>0.000086</td>\n",
-       "      <td>-0.035506</td>\n",
-       "      <td>-0.027489</td>\n",
-       "      <td>-0.000900</td>\n",
-       "      <td>-0.036517</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
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-      "text/plain": [
-       "            n_clients  aum_qty_mean_med  gross_flow_to_aum_med  flow_freq_med  \\\n",
-       "cluster_k5                                                                      \n",
-       "1                 168      12566.405685              16.253847       0.911577   \n",
-       "3                 111      37555.632000               0.661205       0.076923   \n",
-       "4                  90      59767.645164               4.216773       0.995868   \n",
-       "0                  30     212211.195227              15.786289       1.000000   \n",
-       "2                   5     114674.703704               7.607274       0.944444   \n",
-       "\n",
-       "            n_tx_total_med  avg_n_isin_held_med  n_isin_total_med  \\\n",
-       "cluster_k5                                                          \n",
-       "1                   1094.5             2.524180              28.5   \n",
-       "3                      6.0             1.511111              12.0   \n",
-       "4                   1725.5            10.811538              24.0   \n",
-       "0                  17459.5             9.768395              77.5   \n",
-       "2                   1221.0             0.861111              12.0   \n",
-       "\n",
-       "            avg_holding_months_per_isin_med  exit_rate_per_isin_med  \\\n",
-       "cluster_k5                                                            \n",
-       "1                                  8.166667                2.955196   \n",
-       "3                                  8.290323                0.586207   \n",
-       "4                                 39.349432                0.708536   \n",
-       "0                                 17.601779                5.770464   \n",
-       "2                                  3.800000                2.600000   \n",
-       "\n",
-       "            flow_direction_balance_med  redemption_bias_med  \\\n",
-       "cluster_k5                                                    \n",
-       "1                             0.036286            -0.970398   \n",
-       "3                             0.000000            -0.076923   \n",
-       "4                             0.177072            -1.017685   \n",
-       "0                             0.028313            -1.083467   \n",
-       "2                            -0.049426            -1.237358   \n",
-       "\n",
-       "            aum_drawdown_last_med  aum_final_to_peak_med  \\\n",
-       "cluster_k5                                                 \n",
-       "1                        0.914496               0.085504   \n",
-       "3                        0.818922               0.181078   \n",
-       "4                        0.181774               0.818226   \n",
-       "0                        0.691744               0.308256   \n",
-       "2                        0.999914               0.000086   \n",
-       "\n",
-       "            corr_flow_fund_lag3_med  corr_flow_fund_lag6_med  \\\n",
-       "cluster_k5                                                     \n",
-       "1                          0.001715                 0.003794   \n",
-       "3                         -0.002355                -0.000290   \n",
-       "4                          0.029066                 0.024737   \n",
-       "0                          0.062011                 0.052249   \n",
-       "2                         -0.035506                -0.027489   \n",
-       "\n",
-       "            corr_flow_rate_lag3_med  corr_flow_rate_lag6_med  \n",
-       "cluster_k5                                                    \n",
-       "1                         -0.000844                 0.001543  \n",
-       "3                          0.011330                 0.021365  \n",
-       "4                         -0.025887                -0.038057  \n",
-       "0                         -0.031718                -0.037537  \n",
-       "2                         -0.000900                -0.036517  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "profile_vars = [\n",
-    "    \"aum_qty_mean\",\n",
-    "    \"gross_flow_to_aum\",\n",
-    "    \"flow_freq\",\n",
-    "    \"n_tx_total\",\n",
-    "    \"avg_n_isin_held\",\n",
-    "    \"n_isin_total\",\n",
-    "    \"avg_holding_months_per_isin\",\n",
-    "    \"exit_rate_per_isin\",\n",
-    "    \"flow_direction_balance\",\n",
-    "    \"redemption_bias\",\n",
-    "    \"aum_drawdown_last\",\n",
-    "    \"aum_final_to_peak\",\n",
-    "    \"corr_flow_fund_lag3\",\n",
-    "    \"corr_flow_fund_lag6\",\n",
-    "    \"corr_flow_rate_lag3\",\n",
-    "    \"corr_flow_rate_lag6\",\n",
-    "    #\"corr_flow_bench_lag3\",\n",
-    "    #\"corr_flow_bench_lag6\"\n",
-    "]\n",
-    "\n",
-    "profile_vars2 = [\n",
-    "    \"aum_qty_mean\",\n",
-    "    \"gross_flow_to_aum\",\n",
-    "    \"flow_freq\",\n",
-    "    \"n_tx_total\",\n",
-    "    \"log_gross_flow_qty_mean\",\n",
-    "    \"net_flow_vol\",\n",
-    "]\n",
-    "\n",
-    "profile_vars = [c for c in profile_vars if c in dfc.columns]\n",
-    "\n",
-    "for k in [2, 4, 5]:\n",
-    "    print(f\"\\n===== K={k} =====\")\n",
-    "    prof = (\n",
-    "        dfc.groupby(f\"cluster_k{k}\")\n",
-    "        .agg(\n",
-    "            n_clients=(ID_COL, \"count\"),\n",
-    "            **{f\"{c}_med\": (c, \"median\") for c in profile_vars}\n",
-    "        )\n",
-    "        .sort_values(\"n_clients\", ascending=False)\n",
-    "    )\n",
-    "    display(prof)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 237,
-   "id": "ff8bdf91-859c-419e-a2ea-eb4a5f44f0df",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Analyse graphique des clusters : features2\n",
-    "sns.set_style(\"whitegrid\")\n",
-    "thr_int = dfc[\"gross_flow_to_aum\"].median()\n",
-    "thr_freq = dfc[\"flow_freq\"].median()\n",
-    "\n",
-    "plt.figure()\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([2, 4, 6.0])].groupby(\"cluster_k5\"):\n",
-    "    plt.scatter(g[\"flow_freq\"], g[\"gross_flow_to_aum\"], s=10, label=f\"Cluster {int(name)}\")\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_int, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.ylim(0.1,1000)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 238,
-   "id": "0bb325e2-a490-465c-9c8f-2121694f9b92",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Analyse graphique des clusters : features2\n",
-    "\n",
-    "thr_int = dfc[\"gross_flow_to_aum\"].median()\n",
-    "thr_freq = dfc[\"flow_freq\"].median()\n",
-    "\n",
-    "plt.figure()\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([1,3,0, 4, 6.0])].groupby(\"cluster_k5\"):\n",
-    "    plt.scatter(g[\"flow_freq\"], g[\"gross_flow_to_aum\"], s=10, label=f\"Cluster {int(name)}\")\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_freq, linestyle=\"--\")\n",
-    "plt.axhline(thr_int, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.ylim(0.1,1000)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 314,
-   "id": "4d04e670-51ae-482d-a5c5-93fe8263cfeb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Analyse : features\n",
-    "\n",
-    "labels_map = {\n",
-    "    0: \"Cluster 0 (30): Large and highly active movers\",\n",
-    "    1: \"Cluster 1 (168): Occasional large movers\",\n",
-    "    3: \"Cluster 3 (111): Dormant profiles\",\n",
-    "    4: \"Cluster 4 (90): Loyal clients\"\n",
-    "}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 315,
-   "id": "6ebe0025-0532-4e51-acb2-81aa786a164b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x500 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, axes = plt.subplots(1, 2, figsize=(12,5), sharey=False)\n",
-    "\n",
-    "thr_log_tx = dfc[\"log_n_tx_total\"].median()\n",
-    "# --- Graphique 1 ---\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([2,4])].groupby(\"cluster_k5\"):\n",
-    "    axes[0].scatter(g[\"log_n_tx_total\"], g[\"gross_flow_to_aum\"], s=10, label=labels_map.get(int(name), \"Cluster {}\".format(int(name))))\n",
-    "\n",
-    "axes[0].set_yscale(\"log\")\n",
-    "axes[0].axvline(thr_log_tx, linestyle=\"--\")\n",
-    "axes[0].axhline(thr_int, linestyle=\"--\")\n",
-    "axes[0].set_xlabel(\"Activity frequency (log_n_tx_total)\")\n",
-    "axes[0].set_ylabel(\"Gross flow / mean AUM\")\n",
-    "axes[0].set_title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "axes[0].set_ylim(0.1,1000)\n",
-    "axes[0].legend(markerscale=2)\n",
-    "\n",
-    "# --- Graphique 2 ---\n",
-    "thr_churn = dfc[\"aum_drawdown_last\"].median()\n",
-    "thr_hold = dfc[\"avg_holding_months_per_isin\"].median()\n",
-    "\n",
-    "color_map = {\n",
-    "    1: \"#ff7f0e\",\n",
-    "    4: \"red\"\n",
-    "}\n",
-    "\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([0,2,3])].groupby(\"cluster_k5\"):\n",
-    "    axes[1].scatter(\n",
-    "        g[\"avg_holding_months_per_isin\"], g[\"aum_drawdown_last\"],\n",
-    "        s=10,\n",
-    "        color= color_map.get(int(name), \"gray\"),\n",
-    "        label=labels_map.get(int(name), \"Cluster {}\".format(int(name)))\n",
-    "    )\n",
-    "\n",
-    "axes[1].set_yscale(\"log\")\n",
-    "axes[1].axvline(thr_hold, linestyle=\"--\")\n",
-    "axes[1].axhline(thr_churn, linestyle=\"--\")\n",
-    "axes[1].set_xlabel(\"avg_holding_months_per_isin\")\n",
-    "axes[1].set_ylabel(\"aum_drawdown_last\")\n",
-    "axes[1].set_title(\"2D behavioral segmentation: potential churn vs loyalty\")\n",
-    "axes[1].legend(markerscale=2)\n",
-    "axes[1].set_ylim(0.001,1.3)\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 316,
-   "id": "5b3c5228-c176-4f1c-8edb-5b5d093df8a9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Profil fidele (avg_holding_months_per_isin_med) vs churn (aum_drawdown_last_med)\n",
-    "\n",
-    "thr_churn = dfc[\"aum_drawdown_last\"].median()\n",
-    "thr_hold = dfc[\"avg_holding_months_per_isin\"].median()\n",
-    "\n",
-    "plt.figure()\n",
-    "for name, g in dfc[~dfc['cluster_k5'].isin([0,2,3])].groupby(\"cluster_k5\"):\n",
-    "    plt.scatter(g[\"avg_holding_months_per_isin\"], g[\"aum_drawdown_last\"], s=10, label=name)\n",
-    "\n",
-    "plt.yscale(\"log\")\n",
-    "plt.axvline(thr_hold, linestyle=\"--\")\n",
-    "plt.axhline(thr_churn, linestyle=\"--\")\n",
-    "plt.xlabel(\"Activity frequency (share of active months)\")\n",
-    "plt.ylabel(\"Gross flow / mean AUM (quantity) [log scale]\")\n",
-    "plt.title(\"2D behavioral segmentation: relative intensity vs frequency\")\n",
-    "plt.legend(markerscale=2)\n",
-    "plt.ylim(0.001,1.1)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 317,
-   "id": "5071c36c-0176-460c-aeb7-ed7c4fb35ce5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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L5c2bF99//73Re8+dO4dKlSohXbp0cHR0xJQpU7BkyRKICO7fvw8AOH/+PFq2bAlHR0dYWFgge/bs8PHxwdmzZ40+6+TJkyhfvjzSpUsHEcHIkSPVeXfv3kWbNm2QI0cOpE2bFg4ODvDx8cGGDRvUZfTfe+bMma9a73nz5qFGjRrIkiULLCwsULBgQfj7+yM0NDTGZ+rXBQA+f/6M4cOHI0eOHEifPj1q1aqF69evI0uWLOjSpUu88QQGBkJEEBgYqE47ceIEKleujPTp0yNXrlwYOHAg9u7dG2O5t2/fws/PD7a2thAR5M2b16iMateuDQsLC9jb22PIkCHYv39/jM9wc3NDyZIlYy2Tjx8/4pdffkHJkiVhYWGBzJkzo3z58hg9erRaLgcPHsQ333yDXLlyIV26dMiVKxdatmyJW7dufVW5JwYRQffu3WNMv379OrJmzQo7Ozv8+eef//rzV69ejRo1aiBbtmxIkyYNsmbNCl9fX5w7d+6/hE1ERERkRAFieVRKREREZGZCQkIkc+bM8uOPP8rQoUNNHQ4RERERmaG4xw8nIiIiSqbev38fY9q0adNEROIdmZGIiIiIKC7so4yIiIjMztq1a2Xp0qVSr149sbKykuPHj8tvv/0mnp6e4urqaurwiIiIiMhMMVFGREREZqd06dKSJk0amTBhgoSFhakd/P/444+mDo2IiIiIzBj7KCMiIiIiIiIiIhL2UUZERERERERERCQiTJQRERERERERERGJCBNlREREREREREREIpLCO/Ofbl3U1CGYnE+7sqYOIVnI7dvA1CGYXO+aQ00dQrIwqH91U4eQLMyafsLUIZjcT0+PmjqEZGFp4dqmDsHkfP86b+oQkoVrQe9MHUKyUCp7BlOHYHJWOm4LIiL7nWqZOgRKJsZ0mmzqEEzOz6OgqUNIFnq7FjB1CMlCFyVfvMvMxYNEj+PfStGJMiIiIiIiIiIiSjipFVNH8N8wUUZERERERERERAkiXSrzzpQxUUZERERERERERAkitcJEGREREREREREREZteEhERERERERERibDpJRERERERERERkYiw6SUREREREREREZGIiKQydQD/ERNlRERERERERESUINj0koiIiIiIiIiISNj0koiIiIiIiIiISERYo4yIiIiIiIiIiEhERFKbd56MiTIiIiIiIiIiIkoYbHpJREREREREREQkIunMfNhLJsqIiIiIiIiIiChBsEYZERERERERERGRsDP/JPHy5UtZvHixnDp1Sp49eyYiIjly5JCqVatK27ZtJVu2bCaOkIiIiIiIiIiIzL0z/2TfcvTMmTNSpEgRmTFjhtjY2EiNGjWkRo0aYmNjIzNmzJBixYrJ2bNnTR0mEREREREREVGKl1pR4n0lZ8m+RlnPnj3l22+/lblz54oSrTABSJcuXaRnz55y6tSpL35ORESEREREGE37DJ2kUZJ9rpCIiIiIiIiIyCyYe9PLZJ8lunTpkvTt2zdGkkxERFEU6du3r1y8eDHezxk/frzY2NgYvfZ/fJ0IERMRERERERERpUypFCXeV3KW7BNlOXLkkNOnT8c5//Tp02Jvbx/v5wQEBEhoaKjRq046u4QMlYiIiIiIiIgoRUudLlW8r+Qs2Te9HDBggPzwww9y7tw58fDwUJNiz58/l4MHD8qCBQtk0qRJ8X6OhYWFWFhYGE1js0siIiIiIiIiooSjpDbvXEuyT5R1795dsmbNKlOnTpXZs2dLZGSkiIikTp1aypcvL0uXLpVmzZqZOEoiIiIiIiIiIlLMfNjLZJ8oExFp3ry5NG/eXD59+iQvX74UEZGsWbNK2rRpTRwZERERERERERHppU6b2tQh/CdmkSjTS5s2reTMmdPUYRARERERERERUSxSsUYZERERERERERGRSKp0rFFGRERERERERETEGmVEREREREREREQiIkoqJsqIiIiIiIiIiIgkNZteEhERERERERERiShseklERERERERERMQaZURERERERERERCIikop9lBEREREREREREYkoqVOZOoT/hIkyIiIiIiIiIiJKEKnTMVFGRERERERERETEGmVEREREREREREQiIqnTmneizLyjJyIiIiIiIiKiZCNV6lTxvv6Jo0ePSoMGDSRXrlyiKIps2bIlcQL/fym6RtmFub+ZOgST8zo0xtQhJAtp8hY3dQgm993dc6YOIVm48uGTqUNIFoaMtDZ1CCZ38PEbU4eQLLS7vtPUIZjcJzN/KppQ8me2NHUIyUKGEytNHYLJbbCvZ+oQkoWK50+YOgSTS23eA9slmON3D5o6BJP7eG+1qUNIHlyHmTqCZEFJ4INDeHi4lClTRtq3by+NGzdO0M+OTYpOlBERERERERERUcJJlTZhU01169aVunXrJuhnfgkTZURERERERERElCD+adPK5IaJMiIiIiIiIiIiShCp0sWfaoqIiJCIiAijaRYWFmJhYZFYYX01807zERERERERERFRsqGkShXva/z48WJjY2P0Gj9+vKlDFxHWKCMiIiIiIiIiogSipE4d7zIBAQHSr18/o2nJoTaZCBNlRERERERERESUQFJ/RWf+yaWZZWyYKCMiIiIiIiIiogShJHBn/m/fvpU7d+6of9+/f18uXrwodnZ24ujomKDfJcJEGRERERERERERJZCETpSdPXtWatasqf6tb7L5/fffy9KlSxP0u0SYKCMiIiIiIiIiogSS6iuaXv4T7u7uAiBBP/NLmCgjIiIiIiIiIqIEkdA1ypIaE2VERERERERERJQgvqYz/+TMvKMnIiIiIiIiIqJkgzXKiIiIiIiIiIiIhIkyIiIiIiIiIiIiERFJnTatqUP4T5goIyIiIiIiIiKiBMEaZURERERERERERCKSysw78zfvNN//+/vvv6V9+/ZfXCYiIkLCwsKMXpGfPiZRhERERERERERE2qekThXvKzlL3tF9pdevX8uyZcu+uMz48ePFxsbG6HVl25IkipCIiIiIiIiISPvMPVFmFvXhtm3b9sX59+7di/czAgICpF+/fkbTum++9p/iIiIiIiIiIiKi/0mVhp35J7pGjRqJoigCIM5lFEX54mdYWFiIhYWF0bTUadMlSHxERERERERERCQiqVKbOoL/JHnXd/t/OXPmlE2bNolOp4v1df78eVOHSERERERERESU4ilp08b7Ss7MIlFWvnx5OXfuXJzz46ttRkRERERERERESSBV6vhfyZhZNL309/eX8PDwOOcXKlRIAgMDkzAiIiIiIiIiIiKKIZknwuJjFomy6tWrf3F+xowZxc3NLYmiISIiIiIiIiKi2CjszJ+IiIiIiIiIiEhYo4yIiIiIiIiIiEiENcqIiIiIiIiIiIiisEYZERERERERERGRiJLavBNlqRLrg8+fPy9XrlxR/966das0atRIhgwZIh8/fkysryUiIiIiIiIiIlNJkzb+VzKWaImyzp07y61bt0RE5N69e9KiRQvJkCGDrF+/XgYOHJhYX0tERERERERERCaipEod7ys5S7RE2a1bt8TZ2VlERNavXy81atSQ1atXy9KlS2Xjxo2J9bVERERERERERGQiSpq08b6Ss0TrowyA6HQ6ERE5cOCA+Pj4iIhInjx55OXLl4n1tUREREREREREZCrJvMZYfBItUebi4iI//vij1K5dW44cOSJz5swREZH79++Lvb19Yn0tERERERERERGZSqpEa7yYJBItUTZt2jT57rvvZMuWLTJ06FApVKiQiIhs2LBBqlatmlhfS0REREREREREJqKkTWfqEP6TREmURUZGSkhIiBw9elQyZ85sNG/ixImS2syHCiUiIiIiIiIioliYedPLRKkPlzp1avH09JSQkJAY8ywtLSVt2uTdcRsREREREREREf1z7Mw/Dk5OTnLv3j3Jnz9/Yn3Ff7a40mdTh2ByT7xXmjqE5OHZWVNHYHKpM5g6guRh3/UXpg4hWXgc9sHUIZjc4+D3pg4hWahVI7epQzC5psvOmzqEZKFywSymDiFZ6Hz5iqlDMLk/ClcxdQjJwoT1l00dAiUTZ74xdQSmt7JAa1OHkCx0NnUAyYVi3n2UJVr0P/74owwYMEB27NghT58+lbCwMKMXERERERERERFpjJIq/lcylmg1yurVqyciIg0bNhRFUdTpAERRFImMjEysryYiIiIiIiIiIhNAqkRLNSWJRIs+MDAwsT6aiIiIiIiIiIiSI4PKUuYo0RJlbm5uifXRRERERERERESUHKVK3k0r45Oo0R87dkxatWolVatWlcePH4uIyIoVK+T48eOJ+bVERERERERERGQCSJUm3ldylmiJso0bN4qXl5ekT59ezp8/LxERESIiEhoaKj/99FNifS0REREREREREZmKmXfmn6ijXs6dO1cWLFggadOmVae7urrK+fMcZp2IiIiIiIiISGvMvUZZokV38+ZNqVGjRozpNjY2EhISklhfS0REREREREREppLMa4zFJ9Giz5Ejh9y5cyfG9OPHj0uBAgUS62uJiIiIiIiIiMhUFCX+VzKWaImyTp06Se/eveWPP/4QRVHkyZMnsmrVKhkwYIB07do1sb6WiIiIiIiIiIhMhE0v4zB48GDR6XTi4eEh7969kxo1aoiFhYUMGDBAevbsmVhfS0REREREREREppLKvJteJlqiTFEUGTp0qPj7+8udO3fk7du3UqJECbGyskqsryQiIiIiIiIiIlNK5jXG4pNoab727dvLmzdvJF26dFKiRAmpWLGiWFlZSXh4uLRv3z6xvpaIiIiIiIiIiExFSRX/KxlLtOiWLVsm79+/jzH9/fv3snz58sT6WiIiIiIiIiIiMhEoqeJ9/VOzZs2SfPnyiaWlpVSqVElOnz6dCJFHSfBEWVhYmISGhgoAefPmjYSFhamv4OBg2bVrl2TPnj2hv5aIiIiIiIiIiEwtVer4X//A2rVrpV+/fjJy5Eg5f/68lClTRry8vOTFixeJEn6CNxy1tbUVRVFEURQpUqRIjPmKosjo0aMT+muJiIiIiIiIiMjUErhp5ZQpU6RTp07Srl07ERGZO3eu7Ny5UxYvXiyDBw9O0O8SSYREWWBgoACQWrVqycaNG8XOzk6dly5dOsmbN6/kypXrH33m+/fv5dy5c2JnZyclSpQwmvfhwwdZt26dtGnT5oufERERIREREUbT0kZ8FAuLdP8oFiIiIiIiIiIiih2+ojP/2HI0FhYWYmFhYTTt48ePcu7cOQkICFCnpUqVSmrXri2nTp1KmICjSfCml25ubuLu7i7379+XRo0aiZubm/qqUqXKP06S3bp1S4oXLy41atSQUqVKiZubmzx9+lSdHxoaqmYVv2T8+PFiY2Nj9Pp57rJ/vH5ERERERERERBQ7KEq8r9hyNOPHj4/xWS9fvpTIyEixt7c3mm5vby/Pnj1LlPgTrTP/69evy4kTJ9S/Z82aJc7OzuLn5yfBwcFf/TmDBg0SJycnefHihdy8eVMyZcokrq6u8vDhw38UT0BAgISGhhq9Bnf5/h99BhERERERERERxQ2I/xVbjsaw1pgpJVqizN/fX8LCwkRE5MqVK9KvXz+pV6+e3L9/X/r16/fVn3Py5EkZP368ZM2aVQoVKiTbt28XLy8vqV69uty7d++rP8fCwkKsra2NXmx2SURERERERESUcCKBeF+x52gsYnxW1qxZJXXq1PL8+XOj6c+fP5ccOXIkSvyJlii7f/++2p/Yxo0bpUGDBvLTTz/JrFmzZPfu3V/9Oe/fv5c0af7XvlVRFJkzZ440aNBA3Nzc5NatWwkeOxERERERERER/XM6xP/6WunSpZPy5cvLwYMH//f5Op0cPHhQqlSpkgjRJ0Jn/nrp0qWTd+/eiYjIgQMH1M727ezs1JpmX6NYsWJy9uxZKV68uNH0mTNniohIw4YNEyhiIiIiIiIiIiL6LyL/SSbsK/Tr10++//57cXFxkYoVK8q0adMkPDz8q/qr/zcSLVFWrVo16devn7i6usrp06dl7dq1IhLVOX/u3Lm/+nN8fX3lt99+k9atW8eYN3PmTNHpdDJ37twEi5uIiIiIiIiIiP6dhE2TiTRv3lyCgoJkxIgR8uzZM3F2dpY9e/bE6OA/oSRa08uZM2dKmjRpZMOGDTJnzhxxcHAQEZHdu3eLt7f3V39OQECA7Nq1K875s2fPFp1O95/jJSIiIiIiIiKi/yYhm17q9ejRQ/766y+JiIiQP/74QypVqpTwgf+/RKtR5ujoKDt27IgxferUqYn1lUREREREREREZEKRSOg6ZUkr0RJlDx8+/OJ8R0fHxPpqIiIiIiIiIiIyATPPkyVeoixfvnyiKEqc8yMjIxPrq4mIiIiIiIiIyAQSujP/pJZoibILFy4Y/f3p0ye5cOGCTJkyRcaNG5dYX0tERERERERERCZi7r3IJ1qirEyZMjGmubi4SK5cuWTixInSuHHjxPpqIiIiIiIiIiIyATa9/IeKFi0qZ86cSeqvJSIiIiIiIiKiRMbO/OMQFhZm9DcAefr0qYwaNUoKFy6cWF9LREREREREREQmYuZdlCVeoszW1jZGZ/4AJE+ePLJmzZrE+loiIiIiIiIiIjIR1iiLQ2BgoNHfqVKlkmzZskmhQoUkTZokb/FJRERERERERESJzMzzZImXKHNzc0usjyYiIiIiIiIiomSITS8NbNu27auXbdiwYUJ+NRERERERERERmZi5N71UgIRbg1SpUn3dlyqKREZGJtTX/mvLzv1t6hBMbs7um6YOIVk4v3G1qUMwuZXLfjR1CMnCX8HvTB1CsmBlwSby+WzTmzqEZGHDxSemDsHk2lTIY+oQkoWNRSqYOoRkYerdzaYOweRupy9g6hCShQ+fdaYOgZKLXs1NHYHJPTrF6wUREZ8nV0wdQrJw+UlovMuUzmWTBJH8Owl6J6TT8WRBRERERERERJRS6cy8RtnXVQH7Bw4dOiQlSpSQsLCwGPNCQ0OlZMmScuzYsYT+WiIiIiIiIiIiMrFPkYj3lZwleKJs2rRp0qlTJ7G2to4xz8bGRjp37ixTpkxJ6K8lIiIiIiIiIiITiwTifSVnCZ4ou3Tpknh7e8c539PTU86dO5fQX0tERERERERERCZm7jXKEry35ufPn0vatGnj/sI0aSQoKCihv5aIiIiIiIiIiEyMfZRF4+DgIH/++Wec8y9fviw5c+ZM6K8lIiIiIiIiIiITY9PLaOrVqyfDhw+XDx8+xJj3/v17GTlypPj4+CT01xIRERERERERkYmx6WU0w4YNk02bNkmRIkWkR48eUrRoURERuXHjhsyaNUsiIyNl6NChCf21RERERERERERkYube9DLBE2X29vZy8uRJ6dq1qwQEBAj+v4AURREvLy+ZNWuW2NvbJ/TXEhERERERERGRiX3SMVEWQ968eWXXrl0SHBwsd+7cEQBSuHBhyZw5c2J8HRERERERERERJQORTJTFLXPmzFKhQoXE/AoiIiIiIiIiIkom2PSSiIiIiIiIiIhI2PSSiIiIiIiIiIhIRER0TJQRERERERERERGxRhkREREREREREZGIiESyjzIiIiIiIiIiIiLzb3qZytQBfI3r16/LkiVL5MaNGyIicuPGDenatau0b99eDh06ZOLoiIiIiIiIiIhIJKrpZXyv5CzZ1yjbs2ePfPPNN2JlZSXv3r2TzZs3S5s2baRMmTKi0+nE09NT9u3bJ7Vq1fri50REREhERITRtE8fIyRtOovEDJ+IiIiIiIiIKMUw96aXyb5G2ZgxY8Tf319evXolS5YsET8/P+nUqZPs379fDh48KP7+/vLzzz/H+znjx48XGxsbo9eOJbOSYA2IiIiIiIiIiFKGj5918b6Ss2SfKLt69aq0bdtWRESaNWsmb968kaZNm6rzv/vuO7l8+XK8nxMQECChoaFGL5923RMrbCIiIiIiIiKiFCdSh3hfyVmyb3opIqIoioiIpEqVSiwtLcXGxkadlylTJgkNDY33MywsLMTCwriZZdp08b+PiIiIiIiIiIi+TnJPhMUn2dcoy5cvn9y+fVv9+9SpU+Lo6Kj+/fDhQ8mZM6cpQiMiIiIiIiIiIgPm3vQy2dco69q1q0RGRqp/Ozk5Gc3fvXt3vB35ExERERERERFR4jP3GmXJPlHWpUuXL87/6aefkigSIiIiIiIiIiL6kuReYyw+yT5RRkRERERERERE5oE1yoiIiIiIiIiIiETkMxNlREREREREREREbHpJREREREREREQkIiKRMO8aZalMHQAREREREREREWnDx8+6eF+JZdy4cVK1alXJkCGD2Nra/qvPYKKMiIiIiIiIiIgSRKQO8b4Sy8ePH+Xbb7+Vrl27/uvPYNNLIiIiIiIiIiJKEJE60/VRNnr0aBERWbp06b/+DCbKiIiIiIiIiIgoQbAzfyIiIiIiIiIiIhH5/BVNKyMiIiQiIsJomoWFhVhYWCRWWF+NfZQREREREREREVGC+JrO/MePHy82NjZGr/Hjx8f6eYMHDxZFUb74unHjRoLFzxplRERERERERESUIL6ms/6AgADp16+f0bS4apP1799f2rZt+8XPK1CgwFfHFx8myoiIiIiIiIiIKEF8TaLsnzSzzJYtm2TLlu2/hvXVUnSirGxOa1OHYHLt6hQ2dQjJwlE3T1OHYHI3smY0dQjJQr6BrUwdQrJgt2KrqUMwuWV5nE0dQrJgs5bbwvFSVUwdQrLQ5fElU4eQLGRuMc7UIZhc7983mDqEZGF44ARTh2BySqrUpg4hWejrN9HUIZhcgT68l6D/+WzCzvwfPnwor1+/locPH0pkZKRcvHhRREQKFSokVlZWX/UZKTpRRkRERERERERECUf3FTXKEsuIESNk2bJl6t9ly5YVEZHAwEBxd3f/qs9gZ/5ERERERERERJQgAMT7SixLly6N9fu+NkkmwhplRERERERERESUQCJN2PQyITBRRkRERERERERECQLmnSdjooyIiIiIiIiIiBJGZKR5Z8qYKCMiIiIiIiIiogQBE3bmnxCYKCMiIiIiIiIiogTBRBkREREREREREZGw6SUREREREREREZGIsEYZERERERERERGRiLBGGRERERERERERkYiIwLzzZEyUERERERERERFRwtCx6SUREREREREREZGI7rN5VyljooyIiIiIiIiIiBKEDqxRZhIARFEUU4dBRERERERERET/z9xrlKUydQD/loWFhVy/ft3UYRARERERERER0f/T6RDvKzlL9jXK+vXrF+v0yMhI+fnnnyVLliwiIjJlypSkDIuIiIiIiIiIiKIBm14mrmnTpkmZMmXE1tbWaDoAuX79umTMmPGrmmBGRERIRESE0bSPERGSzsIiIcMlIiIiIiIiIkqxItn0MnH99NNPEhoaKsOHD5fAwED1lTp1alm6dKkEBgbKoUOH4v2c8ePHi42NjdFr0UzWQiMiIiIiIiIiSijQRcb7Ss6SfY2ywYMHi4eHh7Rq1UoaNGgg48ePl7Rp0/7jzwkICIjRjPPWqw8JFSYRERERERERUYqn+/zR1CH8J8m+RpmISIUKFeTcuXMSFBQkLi4u8ueff/7jES8tLCzE2tra6MVml0RERERERERECQeRkfG+krNkX6NMz8rKSpYtWyZr1qyR2rVrS2QyL1giIiIiIiIiopQmuTetjI/ZJMr0WrRoIdWqVZNz585J3rx5TR0OERERERERERH9P3Nveml2iTIRkdy5c0vu3LlNHQYRERERERERERlgjTIiIiIiIiIiIiIRiWSNMiIiIiIiIiIiItYoIyIiIiIiIiIiEhEmyoiIiIiIiIiIiERERPeJTS+JiIiIiIiIiIhYo4yIiIiIiIiIiEhERPf5k6lD+E+YKCMiIiIiIiIiogTBGmVERERERERERETCRBkREREREREREZGIiESyM38iIiIiIiIiIiLWKCMiIiIiIiIiIhIRJsqIiIiIiIiIiIhERET32bybXgrIJD58+ICRI0fiw4cPpg7FpFgOUVgOLAM9lgPLQI/lEIXlwDLQYzmwDPRYDiwDPZZDFJYDy4ASlgIApk7WpURhYWFiY2MjoaGhYm1tbepwTIblEIXlwDLQYzmwDPRYDlFYDiwDPZYDy0CP5cAy0GM5RGE5sAwoYaUydQBERERERERERETJARNlREREREREREREwkQZERERERERERGRiDBRZjIWFhYycuRIsbCwMHUoJsVyiMJyYBnosRxYBnoshygsB5aBHsuBZaDHcmAZ6LEcorAcWAaUsNiZPxERERERERERkbBGGRERERERERERkYgwUUZERERERERERCQiTJQRERERERERERGJCBNlREREREREREREIsJEGRERJSGOH0NEFDseH4mIiJIHJsqIKNH8+uuv8vbtW1OHYXIDBgyQhg0bpuiboKlTp4qIiKIoJo6EiCj50el06vHx8+fPJo7GdFLyeTK6lF4W7969M3UIlExERkaaOgRKgZgoS0A6nc7UISQL0U/sKfFEb7jOKXW7uHr1qvTu3Vt69uwp4eHhpg7HZCIiIsTe3l4eP34s7du3T5H7w8WLF6V///7y3XffmToUk4vteJDStomUekw0lNJ+8y9hWYjs379fnjx5IiIiAQEBMmjQIBNHlPT024E+WXjv3r0UuW08efJEbt++LWFhYSn6wdLKlSula9eu8vjxY1OHYjIhISHy7NkzU4dhcmvXrpWxY8dKaGioqUOhFIaJsgQCQFKliirOLVu2yPz58yUwMDDF1aYxfCL68OHDFHmiB6Cu89SpU2Xr1q0SERFh4qiSXsmSJSUwMFA2b94s3bt3T7HJMgsLC+nRo4d06tRJbt26JW3btjV1SEmudOnSsnv3btm7d6/4+fmZOhyT0el06nni7Nmzcu3aNXn06JEoipJikkeGZXDlyhV59OiRBAUFiUjKSZhEP08+ePDA6GYopZSDiHFZvHr1ysTRmEZ4eLh069ZNfHx8pEOHDjJ79mxp3769qcNKUvrrJv1xcPLkydKrVy8TR5X0Vq5cKfXr15c6depI0aJF5eDBg6YOySSWLFkiXbp0kVKlSkm6dOlMHY5JrFmzRho1aiSVK1cWd3d3uXXrlqlDMonFixdLx44dxdLSUj5+/GjqcCilAf1nOp1O/X///v1hb2+PPHnyoESJEujYsSNevnxpwuhMY8iQIShdujRy586NiRMn4ubNm6YOKUlERkaq/w8ODkahQoVQtGhR7Nq1Cx8/fjRhZKYTGBiITJky4fvvv8fbt29NHU6SMtwe9uzZgx49esDS0hJdu3Y1Om6kBDqdDnv27EHmzJnRsmVLU4djUoMGDUL27Nnh6OgIJycnHDlyBIDx9qJ1gwcPRp48eeDo6Ij69evj5MmTAKD5/cJw/YYPH44qVaoge/bsqF+/PsaOHWvCyJKe4fY+YcIEtG7dGjdu3DBhRKbz6dMnZMqUCRkyZMDu3btNHU6SCggIwKRJk4y2hzFjxmDQoEEAtH9M0Fu6dCmsrKwwd+5cXLhwAb6+vihZsmSKOi8AwNWrV1GwYEEsXrwYABAWFoa7d+/iwYMHCAsLM3F0SWPx4sXIlCkTJkyYgG3btqFgwYJo1qyZqcNKcn/88QccHBywcuVKAMCHDx/w4sULvHnzBp8+fQKQsq6bKOmxRlkC0D8NvXz5sly7dk12794tV65ckc6dO8v169ele/fuKepJ6fr162XlypUybNgwadq0qSxZskQmTpwoV65cMXVoiU5fU6J///7SqlUrcXR0lFevXkmHDh1k//798unTJxNHmLQAiLu7u2zfvl02btyY4mqW6beHfv36yZAhQ+TNmzdSuHBh2bhxY4prhqkoitSpU0d+++032bNnT4qqWWb4O585c0bWrFkjGzZskKlTp0rFihXFw8NDDh48KKlSpdJkzTIARmUQGBgoK1eulCVLlsigQYPEyspKWrduLUePHhVFUTS9X+ivF8aMGSOzZ8+W0aNHy6FDh8Ta2lpGjBghV69eNXGESUd/fPT395dJkyZJ3bp1JW3atCaOKukY7usvXryQtGnTSrZs2WTkyJHy4MEDdZ6W94fw8HA5f/68bN68WRYsWKBeIz19+jRGU0wtO3nypIwbN07mzJkjnTt3FmdnZ/nhhx+kcuXKcuXKFXny5ImEhYWZOswk8ebNG8mVK5e0a9dOrly5IrVr1xYfHx8pX768dOjQQU6dOmXqEBNVYGCgjBo1SubPny/+/v7SoEEDGThwoOTPn18ePnwonz9/TjF9GAYFBUn58uXlu+++k8uXL0vDhg2levXqUrVqVenfv7+8ePFCs9dNlEyYLkenLb/99hu8vLzQokULoyz3vHnz4OrqihYtWmi2Zln0bP769evxyy+/qH8vW7YM5cuXR/v27XH58uWkDi/JLV26FDY2Njh//jyePXuG58+fo169esiWLRt27NiBiIgIU4eYaL70ZCcwMBBWVlYpombZ58+f1f/v3bsXWbNmxYkTJwAAERER+Pnnn1GqVCm0b9/eVCEmuri2hYiICOzevRu2trYprmbZjBkzMGbMGIwbN06d9vjxY3Ts2BFp0qTBwYMHAWj7Ceny5csxePBgTJo0SZ129uxZtGzZEvnz58fRo0cBaLsMgoKCULt2bWzbtg0AsHv3bmTKlAkLFiwAAE2fI6LbtGkTcufOjbNnz6rT3r9/j+vXr5swqsRnuH2fOHEC7969AwCEhoaiZMmScHFxwf37943eo7Va6fqaYq9fv4afnx+qVq2KOXPmAADatm2Lvn37xvterdi5cyd+/PFHhISEqNO8vLyQNWtW5MuXD/ny5UOfPn3w/PlzE0aZNHbs2IG8efPi+vXrqFChAvr06YNz585hyZIl+Oabb1C9enVNt1JZuHAhxo4di/DwcHVarVq14OjoCHt7e1SsWBGTJk3C+/fvTRhl0pgyZQrKlCmDJ0+ewMnJCT169MD27dsxfPhwVK9eHU2aNEFoaKipwyQNY6IsAXz+/BkDBgxA/vz5UbJkSaN5Op0O8+fPR40aNVCnTh2jk6AWGF6sLFiwAIMGDcK3336LyZMnGy2nT5Z17NgR586dS+owk9T48ePh7u6OT58+GZVPnTp1kDdvXs0mywwv/FetWoVffvkFgwYNQlBQkDr90KFDsLKyQtu2bTWZLOvQoYO6feuTZStWrEDu3LkRHBysLhcSEoJBgwYhQ4YM6NGjh+Yu+g23hTVr1mDChAkYPny4+rBAp9OpyTI/Pz9ThZmo3NzcjJJBz58/h7e3NxRFQe/evQH87/j5+PFjdOrUCRYWFti5c6cpwk0UderUwbx589S/b9++DXd3d2TMmBFjxowxWvbcuXPw8/NDoUKFsH///qQONVFF379fvXqFggUL4uLFi9ixYwesrKzUBMGHDx8wc+ZMnDlzxhShJrkZM2agUqVKAKKaXP38888oWrQorKys0K9fPxNHlzgMj48BAQEoV64cVq5cqV4fPn78GCVKlEDFihVx+/ZtfPjwAS1btsTIkSNNFHHi0ZfF69ev0bJlS1SqVAmLFy9Gp06d8PPPP+Pq1au4du0abt68idu3byMwMFBzCUO9R48eqf/v0aMHHBwccOzYMYSGhuLXX39Frly5cPz4cRNGmDSuXr0KFxcXTJo0Cb6+vnj27Jk67+DBg3B2dsbmzZtNF2Ai+/TpE+7evav+7efnBwcHB+zcuRM3b95Ex44dUaJEiRiJdC06cuQIXF1dMWPGDDRt2tQoKbZ06VKULVvW6CELUUJjouxfiO2m9v379xg/fjwKFCiAHj16GCUBdDodpkyZgi5dumjqKbnhugwZMgRWVlZwc3NDhgwZULRoUfzxxx9Gy69YsQJ58uTBTz/9lNShJgn9djF8+HDky5dPna5/6rNz504oioICBQpgx44dmr3YGzRoEHLlyoX69eujXLlyKFSoEPbt24cPHz4AiKpZZmtri4YNG2rqidiDBw9QvXp15M6d26jm5LFjx1CsWDG1tpDenTt3kCNHDmTKlAmjRo1K6nCTxKBBg5AnTx54eHjA1dUVOXPmxO+//w7gf32WZc2aFd7e3iaONGF9/vwZO3bsULd5vbNnz6J58+awsrLChQsXAPzvuPHkyRM0adIE1atXN5purkJDQ7F06dIYDwW2b98ODw+PGPsJAJw/fx7e3t5o2rRpUoaaqAzPk6GhodDpdHj79i28vLzQqVMnZM6cWU2SAcDNmzfRsGFDbN261RThJhn99r1nzx44ODigbt26KFiwIFq3bo1p06ZhzZo1UBRF3U+0aMSIEciePTv2798f48HRkydPUKJECWTPnh1lypRB0aJFNXXNYHh80///1atXaNasGSpXroxMmTJBURQ4Ozsje/bssLW1Ra5cueDt7W32x0a9uO4H3r9/j/379+Px48dG07Nnz45ff/01KUJLUrGVg5+fHxRFQbZs2fDw4UOjeeXKlcPw4cOTKrwkEde2EBISguXLl+Ovv/5SpwUFBSF16tTYuHFjUoWXZKKXQ3h4OJydnaEoCsqUKWN0TfXu3TtkzZoV8+fPT+owKQVhouwfMtyJg4KC8ObNG/UC5927dxg5ciQqV66MPn36qFXpgagLAf3JXUvJMgC4cuUKevfurSbGtmzZAg8PDzRo0ACnT582Wnb37t1GzdLMWVy/499//w0HBwd06tTJaPrhw4fRr18/NGjQAFmyZNFkB/+zZs2Cg4ODenOzf/9+KIqi1qTTn+T27t2L2rVra25fuHz5Mnx9fZErVy41CfDo0SOUKVMGjRs3NmpOdP36dfj6+mLNmjWaKwcAmDlzJnLlyqXWsNu8eTMURUGuXLkQGBgIIOq4uGXLFnh5eWmyDADgp59+MjoWXLp0Cd988w1y5MgRI1n28uVLTZbDhAkT4O/vr/69Z88eeHt7o1KlSrhy5YrRsjdv3tRMGRiux7hx49ChQwf1GDBnzhwoioLvvvtOXS4kJAT16tVDzZo1NXOe1Iv+m+q7qHj9+jVWr16NZs2aYdmyZfj7778BALdu3ULlypU127n/zZs3UbJkSezZswdA1PXk+fPnMWHCBGzYsEFd7pdffsGMGTPU8tL/a84Mt4X3798brdPLly/RqlUruLi4oF+/fnj9+jVCQ0Nx+/ZtBAUFqfuFuSfLDOPfvHmzuh3E5datW6hUqRIOHDiQ2KElqejlsGPHDvXvpk2bQlEUjB8/Xq1t+ebNG7i5uWHJkiVJHWqS2LNnD65evWo0Lfqx89y5c6hUqRIuXbqUlKElqT179qjr9/DhQ5QsWRIWFhZYvXq1ukxISAiqVauGXbt2mSpMSgGYKPsHol/01qxZEwULFkT37t3V6tD6ZFmVKlXQt2/fGE8Jzf3kHt2mTZuQK1culC5d2ujp16ZNm1C7dm34+PjE2oTE3G8CDLeF5cuXo2/fvujfv786MsuCBQtQrFgx+Pn54a+//sLly5dRt25dtcmV/gJg7969pgg/wRj+ju/fv8ewYcPUkYo2bdoEGxsbLFmyBPXr10fevHmxc+fOGLXItHBTbLhfX7p0CY0aNULOnDnVRMj58+dhb2+P+vXrY9q0aTh06BBq166NJk2aqO81933CMP63b9/C398fK1asAABs3boVmTJlwsyZM9GoUSO1SUl0WtgWoq/DggULoCgK+vfvr067ePGimlC9ePFivJ9hbqLfCI8ePRoZMmQwam65c+dO1KtXD5UrV8aff/75xc8wd4MGDUKOHDmwaNEio+ZVY8aMQZo0adC4cWM0atQINWrUQKlSpdQHKFopA8P1mDFjBtq1a4fq1atj06ZNePPmDQAYHQfDwsLg4+MDNzc3zZRBdI8fP0bZsmUxb948HDt2DO3atUOpUqVQunRppEuXTu2vzpC5nyMA421h0qRJaNq0KcqVK4eZM2eqSdGXL1+iefPmqFq1KhYsWBAjOWju5WBYBufOnUORIkXQoEEDdeRfwHgdP3z4gIYNG6J27dpmv+6G4ioH/bWBfr3t7OzQqFEjDB06FB4eHihTpowmEsaAcRkcO3YMhQsXxg8//IB79+7Fuoy+TOrVq6epY2Nc5XD79m0AwI0bN1CwYEEUKlQIPXr0wNKlS+Hp6Yly5cppap+g5IeJsn9h6NChyJIlC1auXIlFixbBzc0Nzs7OatOqd+/eYfTo0ShYsCCmT59u4mgTlv5gpr+o3bFjBxo1aoQMGTIYneSBqKdD3t7eqFy5smY75vX394eDgwM6dOiA3r17Q1EUTJ06FeHh4Vi9ejWKFi0Ka2tr5MmTB+XLlzfqnLNVq1Zm3SGp4Ynt0KFD0Ol0+P333/HkyRNcv34dxYoVU7f/Q4cOQVEUWFpaqp3aa4V+X4ieLGvYsCFy5syJ8+fPq9MaN26MwoULo3DhwqhevbpmbogN1/3kyZP4/PkzTp48ib///htXr15F4cKF1SYjW7ZsgaIoSJUqlVo2WmH4O969e1dNCq9atQoWFhZGnVNfvHgRTZo0gaIo6sWgFhiWwdOnTwFEPfmdPHkybGxsjPpZ2rlzJ3x8fFCgQAGjGwMtOXr0KBwdHY0Sw4b7y9q1a9G3b1907NgRU6ZM0WzNIQAYPHgw7O3t0b9/f/Ts2VPdHvR97bx79w4rV66Eu7s7ypUrp5njY2zxv3z5Ek2aNEGFChWQKlUq9O7dG7t27UJoaCi8vb2NBvzQosGDByNr1qyYOnUqBg4ciHLlyqF58+ZqTeyXL1/Cz88PhQsX1lR/VIb7/vDhw9G5c2cUKVIEadOmhbe3N44cOaLOf/v2LebPn4/69eujdOnS6v6ghcRAfOWgr3UORHXo3rp1a3h7e6Nbt26aKQfDMpgwYQL69++PnDlzwtLSEl26dDG6Lnj79i3Wrl2LBg0awMnJSTPHRiD+ctDfJ4WEhKBHjx6oWrUqXF1d0bx5c81sC5R8MVH2D+3YsQMlSpRQmxnu378flpaWKF++PJycnHD48GEAUe2qFy1apNmd17Cq6+HDh+Hl5QUnJyecOnXKaLnVq1ejT58+mjiYR7dnzx7kzZtXTfxs2LABqVOnxty5c42WCwwMxB9//KFuC4ZNcs3V1q1b4eXlBQDo06cPypQpY9RZ/YYNG1CpUiU8ePAAQNR+EhAQgMGDB2viBlDPcLt+/vw5bt26pf599+5dNGjQADly5FCbH4aFheHVq1e4c+eO+l5zL4+dO3fCw8MDANC3b19UrFjRaNCSdevWwdXVFU+ePAEQtS307t0bY8eONft1N2S4LYwYMQI+Pj44ePAgIiMj8fHjR6xcuRLp0qUzSpadOXMGAQEBmjlPGJbB6NGj0bRpU7Wj3aCgIEycODFGsmzjxo0YMGCAZsoguk2bNqFEiRIICwuL8aAprnXWYlmsWrUK+fPnV4+FZ8+eVfsg8vf3x6NHj/D27VssWLAAQ4cO1UzC0HCfuH79Om7duqU2L3327Bl+//33GF1UVK5cOcaASFqybt06FCpUSD02HDp0CKlTp4aTkxN8fX3VpmfPnz/HiBEjNLk/TJ8+HdbW1jh27Bju3r2LLVu2wMnJCY0aNTJKqo8dOxatW7fWzP4Q3ZfK4dChQ+pyOp3OaDvQUjmMHz8emTJlwq5du3D69GmMGDEChQsXRteuXXHnzh0AQHBwMDp27IgmTZpodlv4Ujnoa5tGRkbiw4cPCAsLU9+ntXKg5IWJsn/o0qVL6khMO3bsUDsSPHLkCBwcHFCqVKkYo5Zp7ST/559/QlEUtG/fXp124MAB+Pr6omzZsmpn3dGZe7IsevyLFy+Gp6cngKibPSsrK3WEt5CQkFiblmlhW9DpdDhy5AgyZ86M4sWLw9raGteuXVPnAVEXP3Z2drh48SIePXoEHx8fDBgwQP0MrZSD3ogRI9QOiL/55htMnjwZOp0O165d03QTu8+fP2Pr1q3Ily8fihYtChsbmxi1o2bMmIH06dPj/v37ePr0KRo0aIAePXqo8839Iid6c/rBgwcje/bs2Lhxo9GIr0BUM20LCwujZph65rxPRN+OBw4ciBw5cmDVqlVGI5a9fv0aEyZMgI2NDUaPHh3jc8y5DOKydu1apE+fXu2M2TBZtnfv3hj90WiBn58fpkyZov798eNHrFmzBjNmzAAQVavUxsYGq1atwowZM5AqVSoMGTLEqFkqYP7bg+GxYeTIkShWrBgKFSqE7NmzG/XFBETVGLl9+za8vb3h7Oxs9sfFL9mzZ4/aGfvWrVuROXNmzJ8/H4sWLUKmTJmMEux65r4tRNeiRQu0bt3aaJp+YAsvLy8cPXpUna4/ZmitDID4y8Gwhp2eVrqw0el0ePfuHdzc3DB06FCjeVOnTkW2bNmMapa9efNGk9vC15aD4YNow/cSJSYmyr4grpvY169fIyIiAp6enkYX+25ubihYsCDatGkDQLs78Pv377FixQpkypTJqJPq/fv3o3HjxnBxcTE6yWvN0qVLcfHiRWzZsgVNmjTB8uXLYWVlZTRy2fbt2/HDDz+oTY+06Ntvv4WiKHB3d1enGe4zFStWhKWlJfLmzYsyZcpobuACvbFjxyJbtmzYtm0bHj58CHd3d+TPn19NHl65cgW+vr5QFEV9Oqg1zZo1g6Io6oiNANTf+/3796hWrRpSp06NggULGjUbMHcvXrww+vvIkSNwdHRUaxx/+PABDx8+xN69e9WmhStWrICiKGrSwNzp+5jS27dvH3LlyqXWkomMjMTz589x5swZNXE4ceJEKIqCRYsWJXm8icXw2Gd47r916xbKly+Pzp07qzVsgaj9wt3dHT///HOSxpnYgoODsXDhwhj7+L179/DkyRM8fvwY5cuXx6RJkwBEjXSYLVs2pE2b1ugcau4Mt4eRI0fC3t4eu3btwuPHj/HNN9/AysoKS5cuBRC1vcyaNQteXl5wd3fXVHOi2K6DIyIi8Pz5c7x+/RpVqlRR94FPnz6hePHiyJs3LwICAuJ8vznTr0/btm3RpEkTAFHbin76xIkTkTFjRrRo0cKoO5OUXA5xPXzXgsjISHh6eqo1zQ0T5N9//z3s7OzQs2dP3L17V52utW0B+Ppy0DfTJ0oqTJTFwfAi58aNGzh58iQePXqkjtr3999/I3fu3OrIKy9evEDz5s2xYcMGTR7Eonv//j1WrVqF9OnTGyXLDhw4ADc3N7Rt29aE0SWsiIgI9f8TJ05Ejhw5cOXKFRw7dgwFChRA2rRpjZ6eh4eHo27duujUqZOmt4XVq1dj0aJFyJkzJ3x8fNTphp31b9q0CRs2bFAv+LX0lFyn0+HZs2dwdXXFpk2bAEQ1IcmQIQMWLlwI4H/HkYsXL2Lw4MGauPExpNPp8PHjRyxduhQzZsxA0aJF4e3trc7XHy8/ffqEDRs2YO3atZrZFrp162a0rkBUf1Rly5bF1atXcfHiRfj7+6NAgQLInz8/SpQooSZP9+7da/brDwCdOnXCt99+C+B/F+9bt25F5cqV8fr1a1y8eBHDhg1DgQIFkDdvXnh7e+Pvv//Gq1evsHr1ak2UAWB84zJ//nwMGjQIY8aMUZsgT506FZUqVUKjRo2wa9cubNq0CV5eXpqvOTRnzhx07drVaNqlS5dQvHhxtcb17du30bNnTyxdulQTx0fD5mJA1EAu7u7u6sA9+hpUnp6eSJMmDZYtWwYg6hpy8+bNmjk+AjH7K7x586bRCPDXrl1D7ty51REf79+/j5YtW2L58uVmX9taL65rwIULFyJVqlQxRrGcN2+eemzQD/6khetIlkPc8ffq1Qu5cuVSa9Tqt/0RI0agWrVqKFOmjPpgzdzLAEiYctDK8YGSPybKYmG4EwcEBKB06dLIkiULPDw84Ofnh5CQEISHh6NRo0aoXbs25s+fjzp16qBGjRrqzqu1nXjSpEkYPHiw0bT3799j5cqVSJs2LXr16qVOP3PmjCbW/9tvv1X7EgGiEqa9e/fGxo0b1WmzZ8+GoigYPnw4du3ahcOHD6NOnTpGo/Jo4cQW/fc0vIgPDAxE9uzZjZJlQFTTZMP3aeEmKLrg4GC4uLggKCgIW7duNapZ+P79eyxZskTtW0HP3Msh+rZguH1v27YNBQsWVPuv09u7d69RDRNzLwMAePTokbpO+v4yTp8+jbx588Ld3R1WVlbo2LEjVq9ejWPHjqFYsWLYunWr0WeY882wTqfDuXPn1DLQJ0UPHz4MRVFQr1492NnZoW3btli6dCnWr18fo1N7wLzLAIjZBDtDhgxo1KgR0qVLh8qVK6sDVqxYsQINGjRAmjRpUK5cOdSrV09TNYeie/fuHYYNG4YiRYpg0KBB6vTAwEBkyZIF06dPx5EjR+Dj44OGDRuq8825LH7++WcUL15crSkGRCUCp0+fDp1Oh0OHDiFHjhzqwCZ16tSBjY0NZs6cafQ5Wrh+it5Ze8WKFZEpUyb4+Phg7NixiIiIwN27d1GpUiV069YNu3btQr169eDj46O+19zLwTD+e/fu4cqVK3j79q06rX379siUKRO2bNmChw8fIiwsDA0bNsSKFSuwZMkSKIqiiRo0LAfjMnjx4gWePn1qdKyrUKECSpYsiZs3byIkJASfP39G48aNsWPHDvTq1QsODg6a6N+Y5UDmhomyL5g4cSKyZs2Kw4cPIzIyEh06dICVlZV6ob9582b4+PigSJEiqFu3rqZGITH0/v17jB49GhkyZMCPP/4YY17btm2hKApatWplNM+cy6Fx48YoUaKEevMXGBgIRVFgZ2eHbdu2GS07YcIEVK5cGZaWlqhatSrq16+vqRsgw99x+vTpaNu2LapWrYr58+erNWQOHz4Me3t7eHp64uzZs/D09EStWrXMehuILraEZ3BwMIoUKYIWLVogc+bMmD17tjrv+vXrqF27NrZv356UYSYqw9/z119/Rdu2beHm5oZ58+apSeUdO3agcOHCcHd3x82bN1GnTh14e3trImEcm2XLlsHKygoPHz4EENX8ctasWdixY4faLPHdu3coW7YstmzZYspQE83ixYuRJ08evHr1CkDUYC8jRozAhg0b1GlhYWFwdnbGvn37TBlqorl//z6++eYbtclpSEgInJycULFiRZw5c0Zd7vbt23j58qW6P5h7olAvtmP906dP8csvv6B48eJGfVQOHDgQdnZ2yJ8/PypXrqyeL839GPHw4UM0btwY7u7uamsDAOo+0Lp1a3Tp0kW9Lmjbti2KFy+OatWqmf26x+XHH39EtmzZsGPHDjx79gweHh7Inz8/rly5AiDq+qlcuXLIkycPatSooZltwXB/GDZsGJydnWFpaYlvvvlGTZRGRkaie/fuyJAhg1rzuGjRovj48SNOnjyJwoULm333HSyHmIPcVK9eHdbW1ujWrZv68OzRo0dwdXVFtmzZ4OzsjBIlSqBgwYIAgPXr16NEiRIxujkwNywHMkdMlMVCp9Ph7du3aNiwodqEavfu3bCyssKCBQsAwKh6/PPnzzV10RvbBcqzZ88wefJk2NjYYMyYMUbzxo0bh3r16sHb21sTiZGHDx+iSJEiaoJDPzT5sGHDoCgKhg0bZjTiChD1ZOTGjRt4+vSpprYFQwMHDkSWLFnQr18/tGjRAgUKFEDjxo3VfjROnz6NggULomjRoqhSpYpmLngB4+a3f/31F96+fYvw8HAAwG+//YZMmTKpTdAiIyPx9u1b1K9fH7Vr19ZEsjQ6/bbQtWtXtG7dGnZ2dmjVqhUuXLgAIKq/wpIlS8LR0RFVq1bV1LYQ3a1bt1C1alXkz59fTZbp9/2IiAgEBQWhbt26qFixoia3BSCqyX358uXh7OyM169fA/hfDbOPHz8iNDQUdevWRdWqVTVZBpMnT0aJEiVQq1Ytoxu6ly9fwsnJCZUrV8bx48djnB+1cL4EjJvbX7t2DTdu3MDLly8BRPXpOn78eBQvXtxoxNdz587hypUrmhn9V78ejx8/RqNGjVCjRg0sXrxYnR8WFoayZcuqI75++vQJvr6+OHXqlHpc1NLxUafT4cWLF6hevTrWr18PADh48CAyZsyoXkfrPX36FLdu3dLMtmBo1KhR6uAN9+7dg7e3NwoWLIhx48apy+zfvx9r167FypUr1eNjnz594OLiYjSauDlLieUQfX8eNmwYsmXLhjVr1mD79u2oWrUqKlSogDVr1qjLzJ8/HxMnTsTkyZPV/eCHH35AzZo11WtOc8NyIHPGRFkcPn/+jFq1auHo0aPYsWOHUZOqiIgIzJs3D/v27TO60NXCRa/hOjx//tyos+rnz59j4sSJsLW1xdixYwFEXfw1b97c6ILQ3MshKCgI9erVQ5s2bdCqVSvkz59fLYe+ffsibdq0WLZsmdHNQXTmXgbRnTlzBgUKFMDx48fVadu2bYO3tzf8/PzUke3ev3+Pc+fOaeaC99dffzVqfjt8+HCULFkSxYsXx8CBA9UO2keMGAFFUdC4cWN8++23cHd3R6lSpTRVs1Dvjz/+QN68eXHixAl12q5du1CuXDl06NAB7969Q2RkJMLDw3H69GnNbAtfcu/ePdSoUQOOjo7q9vL+/XuMGTMGNWvWRKVKlTS5LejpdDocO3YMlSpVQunSpdWbmvDwcIwePRrVqlVDhQoVNFsGd+7cQc6cOWFpaak+ONDfHLx69QrOzs4oXLgwLl26ZMowE1yvXr2MEoODBg1Czpw5kStXLmTLlg0zZ87EmzdvEBYWhvHjx6NkyZKaG/HVUGzJMsNmmP369YOlpSV69uwJFxcXlClTRl13rV0zAEBoaCgqVKiAZ8+exdo1waJFi/Dnn38avcecy+H69esA/rfvnz59GmXLlsXBgwcBRLVMSJ8+PWrVqoVixYph/PjxsX5Ghw4dYGdnZ7bHC5YD1Kal+u35wIEDKFGihHrddPToUaRLlw4VK1aEi4uLUZJI7+7du+jWrRvs7Oxw+fLlpAs+AbEcyNwxUYbYT8z6US0rVaqEzJkzG43G9Ndff6FOnTpGVeu1wLAcfvrpJ7i4uMDJyQmurq5qIuTVq1eYNm0a0qVLh8KFC6No0aIoVaqUpvrjAqJGrcyTJw/SpUtn1CcZAPTo0QOWlpZYvnz5F5Nl5iz6jcsff/yB7NmzGzUhAoCNGzcic+bMMaYD5n3BC0Q1ISxSpAjat2+P4OBgbNu2DdmzZ8eaNWvQs2dPuLu7o379+mrfGbt27ULz5s3RuXNnjB8/Xt0nzDlBpNPpYsT/+++/w8HBAZcvXzba37dv34506dIZJdD0zH1b+Bp3795FjRo1kDdvXjVZduLECUycOFFTHXRHZ1gb5ujRo6hUqRLKlCmjdmS/f/9+DB8+XBP7AxB3H30PHz5EtmzZ4OHhEWMY+6CgILRu3VozCSEgqs/OokWLwsnJCa9fv8aJEyeQPXt27Nq1CydOnMDo0aNhbW2NoUOH4vPnzwgKCsLPP/+MrFmzxuiTS0tiS5bpR3f9/PkzBg0ahHr16qFt27aaShzHdu0XFhaG4sWLw9fXN8Z19M2bN1G7du0Y/Taaq+nTp0NRFKOHiSEhIZg7dy7Cw8Nx8OBBZMuWDYsWLUJERAScnZ3h6Oho1CT57du32LNnDxo3bmyWySGA5QAAAwYMQJYsWdTa1UDU9YF+dNfdu3cjS5YsWLx4Ma5du4acOXOibNmymD9/vrr8q1evsHLlSlSrVg0XL15M8nVICCwH0oIUnygzvOi9cuUKnjx5og5hf/XqVeTOnRuVK1eGTqfD+/fv8fr1a9SrVw/Vq1fXxMVNbIYOHYocOXJgyZIlOHXqFAoVKoSyZcvi3LlzAKIu6i5duoSRI0di2rRp6o2PFspDf7E3e/ZspEmTBs7OzujQoQOuXr1qtFzPnj2RMWNGzJkzx6hZnhYYdpS5efNmvHz5EufOnUP27Nmxe/duADDqmL1gwYKYOnVqUoeZJGbMmAFXV1d07NgRgwYNMqodsGbNGtSqVQt169bFzZs3AcRMApj7PmFYxX3Pnj148eIFzpw5AysrK/XpsL6JHQAUKVLEqJ+2lObu3btwc3ND/vz5Y3Q+bO7bwpdET5ZVqVIFzs7OavM7PXMvA8PrhTt37uDKlSv4+PGjuv737t1DlixZUKdOHfWYED2BYO5loKfT6XDixAlUr14dJUuWxC+//BKjZsjs2bNhYWGhPmx68uQJli9frpkyiEv0ZFn16tXV0S0BGHVkbu6JY8B4v3j27Bnev3+vrqP+Ydo333wDIGr713dN4OHhoZlt4fnz5/j++++RKVMmNUmk0+kQHh4OnU4HPz8/+Pv7q793mzZt1BEdDY8Rnz59MuvOylkOUfeSLi4uKFmypNo/4efPnxEaGooPHz6gfv36GDVqlLrfeHp6olixYujVq5dRGbx9+1Z94GSOWA6kBSk+UaY3ePBg5M6dG3ny5EHLli1x6tQpAFEn+fTp06N8+fJwcXFBtWrV4OzsrKkngYYOHz6McuXK4fDhwwCAnTt3wsbGBgUKFEDu3LnVEbyi08LFnqFnz57hyZMnWL16NapUqYI2bdqoHdfrtW7dGu7u7iaKMHHs27cP+fPnBxDVTKRQoUJqbcLvvvsOOXLkMBrFMSgoCCVLloy1urQ5M7zwnzp1Ktzd3ZE9e3asWLHCaLk1a9agdu3aqF+/vlETEi3UrDx48CDy5csHAOjfvz+KFi2K58+fAwDatWuHLFmyGNWcefXqFYoVK6bpbeFr3Lt3DyVKlICvry8AbWwLX1MGhsmyY8eOoWDBgmjdurXRPHNmWAbDhw9HkSJFkCNHDhQpUgTr1q1TH7Ddu3cP2bJlg7e3d4wHLFph+HseP34ctWvXhqIo6N27NwDj5Hnr1q3h6upq9HAF0N61U3SGyTJfX1+4u7vHqEmnhf0i+qivLi4uKFasGJo1a6Y2Q/7xxx+hKAp8fHzg6+sLNzc3TXZNoK85miFDhhij+9aoUQOdO3cGEFVmLVq0wG+//aaZET4NsRyimo6WL18exYsXV5NEQFTSp3jx4vjll18AAG/evIGfnx/WrFmjrrtWygBgOZD5Y6IMUTeEhQsXxqFDhzBlyhQ0atQI5cqVU5Nl9+/fx9ixYzFmzBgsWbJE081oTp48iSlTpgAA9u7di6xZs2LOnDkICgpCvnz5UL58efz+++8mjjJxRb9oW7hwIapWrYo2bdqofS/o6Q/kWrjgBaKaQ5QrVw65cuWCjY0Nbt++rc7T16a0tbXFjz/+iKlTp8LLy8uonxUtMTxJz5o1CwUKFECtWrXw5MkTo+XWrVuHMmXKoF+/fkkdYqI6deoUqlevjpw5cyJz5sxqR/VAVM2pBg0aIGPGjJg0aRJmzJgBb29vzW0Lhvv1vn37YtSQisvjx481Uw6GZXD69OkYA5nE9Z6LFy9qpgyij9aVM2dObNmyBZ8+fYK7uzsKFy6MWbNmGSXLFEVBnz59TBVyootei7BWrVrImTOn+mBF/9sPGTIEnp6eJovTlAyTZTVq1EC3bt00c60AGO8X8+fPR+bMmbFo0SKMHDkSTZo0gaWlJY4cOQIg6jq7VatW6N69OyZMmKCZptjRGSaJ9DWqwsPD0aNHD1SrVg1t2rRR+zDVcv90LIfYk0QvXrxAkyZNUK9ePYwZMwaenp6oWLGippNDLAcyZykyURZ9B9yzZw8GDx6s/n3kyBE0btwYzs7O6kk++nu0cgMQm6dPn+LTp0/w9vbGoEGDAERl/93d3ZEuXTq1Cr3WGf7mCxcuhKurK9q2bRujM0mtHdB79OgBRVFQoEAB9Ymvfh0/f/6MAQMGoGrVqqhYsSKaN2+uuafChqInyypXrox27drFGKr84MGDmtsOgKgmxvptQd+URn+j9+LFCwQEBKij+n377bea2haiD2tfsmRJo9qUX8ucb4wNYx8wYADKly8fo0npl97zpWnmQN+8WO/ixYuoWrUqdu7cCSAqeWptbY0qVarAzs4Os2bNUgd+efLkiSb2gy8xTJadPHkSFStWVJsdv3nzBhEREXBzc0OzZs1MHGni+JrtWn8cCQoK0tyDNb2TJ0+iffv2Rl0TPHnyBJ07d0bmzJnVfqa02gw5OsMk0dGjRwEAt2/fRu/eveHj4wM/P78Y11ZaxHKIPUm0d+9eNGnSBOXLl0eDBg00XwYAy4HMV4pMlOlNnjwZHTt2hK+vL3r16mU078iRI2jatCnKly+PQ4cOmSjCpGV4EfPixQsUKVJEbUb1/v17+Pn54dq1aynqIGa4rosXL0bhwoXVET+16tSpU9ixYwcqV66MYsWKqSc1w77YPn36hLdv36rbjNaeChsy3AamT5+OqlWrol27dmrNCUNaufDX/64HDhzAmjVr4OHhgWLFiqkJQsNmVO/evcP79+81uy3cv38fjRs3jpE0iY3hMfTUqVNGTQ3M2ZMnT+Dj46M2yf8SwzK4dOmS2fYtsmDBAtja2hqN6PzgwQMsX74cnz59wuHDh2Fvb4958+YBAKpVq4YiRYrgl19+Meq8WGv7Q3SGv7c+WWZjYwNnZ2f88MMPRk3szD1B9G+vfQy3AXMvg+gOHDiAQoUKIWvWrPjtt9+M5t29exeurq6YNGkSAGhu0KcvMUwS6R+4GzZJBrR/bABYDsD/kkSG19MhISFqv22A9ssAYDmQeUpRiTLDi5xRo0bBzs4ODRs2RKlSpZA2bdoYo7UdPXoUNWvWxPfff5/EkSYP1apVQ6lSpTBnzhzUqFEDLi4uRjWLzNk/qSFouOz27dvNft2/1rVr19T+RgxvdhcuXGjUBC0lXPQabgMzZsxA9erV0ahRI80kQuJz4sQJ1KhRA8WKFVOblwHA6tWrjRKGWtsWZsyYAQcHB1SoUAF37tz54rKG6z5r1iwUKlRIE0OZT5s2DYULF0a1atXU0TzjYlgGv/76K8qUKWPUfNucXLlyBT179kTx4sXVUQsBqNu/n58funfvrp4PWrZsidy5c6Nly5aa2w/iY7i+J06cQMOGDaEoCk6fPq0eO839BshwHefOnYsuXbpg3Lhx6khscf3mhtOPHDkSI0mgBSNGjEDmzJnRoEGDGA+QatasiU6dOpkoMtMKCgpCmzZtkClTJhw4cMBoXko6RrAcopJE+o7tDa+hgJRVg4rlQOYmRSXK9B48eIBRo0apibErV66gWbNmyJYtm9r5qN7FixdT3M6rX987d+6gZs2aqFixIurXr6/JarErV65U//+l9Yo+L3rHxFp1/fp1VKhQAQULFsT27dvh4eGBKlWqaGob+FqG6zxu3Dh06dJF8+UQvbaIfkTHffv2oXbt2nB1ddV0GegHKFAUBdu2bfuqm+G5c+fC2toa69atS6owE9XFixdRuHBhpE+fXh35ODaxlcHatWuTIsREc+PGDfTo0QNFixbFwoUL1ekRERGoU6cO/P391e3fz88PZ8+e1WzzuvgYNsM8cOCAURLR3I8RhvEPGTIEWbNmRd26dVGuXDmUKlVKrW0a/Tc3/HvOnDlQFCXOAZHMkeFDw1GjRsHJyQkDBw5EcHAwgKiWCBUrVjTq2sScjR8//h8/HAsKCoKPjw9q1aqVSFElPZbDv3Pjxg04OjrCz8/P1KGYFMuBzEmKS5Rt374diqIgb968Rp3SX7t2DS1btkT27NnVTvwNmfuF3n/x8uVLTVaLffnyJbJmzYr+/fvHu6zhBe/79+8TM6xk58GDB/Dy8kKJEiVQu3ZtTSVM/2l/SobrrLVRmuJiWB4XLlyAj48P8uXLZ7QtaCEpEP131K9TcHAwChQogLJly6p97cS2HPC/BNHGjRsTN9hEEte2fPXqVTg4OMDDwyPGU2BAW2UQ3fXr19VkmWHNstatW8PR0RGdOnVClSpVUKJECc0khvT+bX9zhsto6Zrhxo0b6NWrF86cOQMganCL1q1bI2/evGpNGcOEod7cuXOROXNmrF+/PumDTmTRk4gFChRA6dKl0alTJzRu3BjFixfXxINF/QAdjRo1UhOBXys4OFgzxwSWw3/z4MGDFNMq5UtYDmQuUlyi7NmzZ+jVqxdSp06NDRs2GM27du0avvvuOyiKgitXrpgowsQR18npSyet6BfE5n7BG31dIyIi1NH6otckNBS9SZW3t7dRf13m5ktPvb/kzp07mkqYGm4P4eHhRr/pl/YLw3VPKSf66NvI7du3NdOkCjD+vTds2IBx48ZhwoQJCAwMBBCVVM+bNy8qV64cZ3PKWbNmwcbGJsZ5xVwYlsGuXbswc+ZMrFixQq0Bc/nyZeTMmRN169aNc/TPOXPmaKYMDP35559qsmz+/Pnq9A4dOqBZs2Zo1aqVph4gAMbr8fLlS3WQgvgYHhO19FBp/fr1yJ07N5ydnY1GPr5w4QJatWqF/PnzqzXLDMtAnzg2133iaxhuK2PHjoWtrS08PDwwe/ZsdboWzhPnz5+Hvb09GjZsmGK6XYhNSi+Hf9L65N9+jjlgOVBKkOISZUBUR/UdOnQwGrpa7/Llyxg5cqSmboAND0I3b97E9evXjfqaiWtdDW+OtfBEUG/JkiVqf0N///03KlasiB49esS6bPSnwjY2NpppUnXt2rWvWk7rI1X99NNPqFatGurXr49ff/1VnR7behqWxbp163Ds2LEkiTExJMTohFrbFvz9/ZE3b174+PioD030HVS/fv0a+fPnh6ura4wmiAcPHkSuXLk0cWzQl4Gbmxvq16+PbNmyqaM8XrlyBQ4ODqhfv36MxMnWrVthZ2dntrVmDM+Tx48fx+7du42uD65cuaImy/Qd+APGCQAtJAOiGz58OJydnZEvXz4MGTIE4eHhcS5rePxYtWoVpk+fbrbXDtGPhQcPHkS9evWQMWNGXLhwwWjexYsX8f3338PS0hJnz55Vp8+cORN2dnaaTpLpGe4/Q4cORbVq1TB8+HC8efMGgHnXOjZctzNnziBTpkzo0KFDnA8M9AzX+dChQ/H2c5ncsRyMy2DNmjUYO3Ysxo0bh/3793/xfYZlcPr0aXW/MFcsB0opUmSiDIh6Qtq2bVukT58+RrJMTws3gYYHpSFDhsDJyQmZMmVC+fLl0bNnT3Ve9HU1fN/kyZNRqVIlTdwEHDhwAIqioECBAli0aBEePXqE8+fPI3Xq1DGaCsXWnEgrF7yzZ8+Gp6fnVy2rtWY0hif4yZMnI0uWLBg2bBhatWoFW1tbDBgwINZlDcth3rx5UBQl3ouC5MpwvYKCgvD8+fOvep9hGZhzrcrYbNiwAbly5VKb5K9evRqKomDJkiXqMq9evYKFhQV++OEHo/fevHlTbY5lzlauXImcOXOq3Q/MmjULiqJg1apV6jJXrlyBoigxmqxfvnw5znNpcme4XQcEBKBo0aJwcHBAlSpV0LJlS3Xe5cuX0bNnT5QoUQLTpk2L8zPMmeGxYc6cOXBwcMCvv/6KcePGwcrKCi1btox1xN/o58s0adJg9+7dSRJzYlqxYgWWLl0KIOomv1atWnB2do7R19iZM2cwZswY9Vrq4sWLSJ06tdn30/dPGG47AQEBqFChAvr16xdvIiU5M9yuhw8fjq5duyJPnjxQFAVNmzY1GuE2rvfNmjULDg4ORklUc8NyMObv74+cOXOiXbt28Pb2RqFChTBu3LhYl41eBsWKFcPVq1eTKtRExXIgrUuxiTIgKlnWrl07WFlZYd++faYOJ1H9/PPPsLOzw549e7Bnzx7MmDEDWbNmNboJiKtvDTs7O6NO781JbFV6a9WqBRsbG3Tu3BmNGjXCnDlzMH78eLi7u8c6Qtu8efM0lSQDgGXLlqFw4cKIiIj4YkLYcFtYsWKF0Y2AOTLcHn7//XfMmTNHvZkLDQ3FggULkDZtWqNk2efPn2OtWaiFPpiGDRuGMmXKIG/evBg4cCDevn0b57LRa4tMnTrVbGuLxGbChAnqCMcbN26ElZWV2swuNDRUvaALCwsz633gS4YMGYKuXbsCADZt2mRUBm/evMHdu3cBAHfv3jUqA60kicaPHw97e3ucOHECHz9+xJAhQ6AoCurWrasuc+XKFbRq1Urzo1ueOHEC06ZNM6ol+ccff8Da2hrNmzc3Sq4bHlf1x0ctnC8/fvwIHx8fVK9eXZ22d+9eNGjQAC4uLjFqlunp942bN28mRZiJ4t82qzI8J/Tt2xc1atT46ma7ydmECRNgZ2eHwMBAHDt2DKtWrYKdnR0aNWoUI0mk5ZYILAdgy5YtcHR0VB+qLVu2DJaWlli9enWMZbU80A/LgVICzSXK4qoBEpeXL1+iUaNGqFmzZmKGZVLh4eH45ptvMHHiRHVaREQEdu7ciezZs2PChAnqdK3Worp06ZLar8iZM2fQvHlzTJ06Ve13pGjRosidOzdmzJhhtA0tX74ciqKYdVIktv0gMDAQWbNmRUhICIDYL3yjbwuWlpZqEyxz065dO6P+co4fPw5FUWBra6v2QwVE7SsLFy6EhYUFBg4cGONzzH2fiN53joODA2bNmoWff/4ZmTJlQrNmzfD06dMY74uttsiuXbuSJOakMnnyZLRt2xbr1q2DlZUV5syZo8777bff0L9/f6OaEVpMlg0fPhzDhg3D1q1bjcpAp9Nh1apVGD9+vFEyVUtlcPv2bXh6eqrHuN27d8PKygrdunWDo6MjfHx81GXv3r2r6dEtr1+/DkVRoCgKFixYAOB/63n69GnY2NjAz8/PqK8uwPyPj4bnwQ8fPgCIqnFrZ2eHQYMGqfP27duHhg0bolKlSjh9+nSSx5nYDMth3rx5aNeuHTp37owZM2Z88X2G+8Lu3bvx119/mXVtMkMtWrRAr169jKadOHECtra28PPzUwc50eo1tF5KLIfolQgmT56M+vXrA4jquzBTpkzqufLt27ex1i7XwiA3LAdKiTSXKNN79+4dgK+7iA0JCdF0Z4Lv379H8eLF1ZoCehEREWjfvj1atGgBIGbTMnM+senpdDocPXoUlpaW6NChg1p7qE+fPhg5ciQA4MmTJ+jQoQNSp04NX19f9b0fPnzA/PnzsWPHDlOEnuDmzZuHYcOG4cCBA9i5cyfKli0bZ1MpwyaW5l5D4M6dO/D19TV60v3w4UO1KdGYMWOMln/37h0WLVoERVEwc+ZMdfq0adOQJUsWsyyH6Me3Y8eOYfr06VizZo067ezZs7CxsUHTpk2NmlZprbZIXMf6TZs2oUCBAsiQIQOmT5+uTg8LC0PdunXRt2/fpAox0cVVBrNmzULmzJmRIUMGo0RhSEgIPD09ERAQkFQhmsSyZcvw9OlTnDhxAg4ODmpfZN26dYOiKHBxcTFaXsvXDdu3b4e1tTXatm0b43rqzJkzUBQFI0aMUJefP38+MmbMaNbHBr3Jkydj9OjR6sAdS5YsQfny5Y0eDhw4cABVq1ZFhw4dTBVmohs4cCCyZcuG9u3bo1GjRsiQIQO+/fZbNYkYX9cEhw4dSvKYE5pOp8Pnz59RvXp1NGvWTJ2uf0gwcOBAKIoCLy8vhIWFqfNnzZqlqYQAyyFqpEYA+PXXX9G9e3fs3bs3xkO1devWYdSoUUa168x9oJ/oWA6UkmgyUbZs2TJUqlRJPZmnJOfOnVObx3Tv3h1btmwBENW5qoeHR4ynn8OGDYO7u7tREmHZsmVmXYsqtuToqlWr0LFjR2TPnh2TJk3C1q1bkTNnTmzfvh1A1NOP48ePx6ghYc5NywzLISQkBD4+PihdujRKly6NrFmzQlEUVKlSBd999x2WLl2KgwcPxuic3tyfBEa3YMECtUbMkydPMHr0aKRPnx5TpkwxWu7t27fYvn27mjB8/fo1HBwcYq1Sntz5+voaPdm7ceOGWltEnwjQbyvnzp2Dra0tmjdvjsePH2vqqTBgfGO3bds2rFmzxihZOHDgQKRJkwbz5s3D+fPncf78eXh5eaFs2bLqtmDuNYgMy2Dfvn1qc3y9Tp06IW3atNi9ezdu3ryJGzduwMvLC+XLl9dEH4VA/DXhhg0bhjZt2qi1UCdNmgRfX1907NhRU7XogC8n+9avX4+0adOiX79+ap+E+u3/+vXrRsdHHx8fbNq0KfEDTmQvXrxA0aJFYWVlBScnJ6xZswZ3795FkyZNMHDgQKPOp8+cOaPZZOkff/wBBwcHtcZ1ZGQkTpw4AXt7e7Rq1cpoWS11TRDX77l8+XI4ODjEGKxkxowZaN68ORo2bKi+98SJEyhYsKBZNy1jOUQd//Tnxv79+6td1Rw+fFi9hlq2bJm6fHh4ODw9PdGtWzd12r59+2Bvb2+2ZQCwHChl01yiTKfTYdmyZXB2dsZff/0FIO4DvuHJ/eDBg7h161aSxJgYdDod7t27Bzs7OwwYMAAdO3ZEmjRpcPHiRQBRNUhKlSqFDh06qMmQkJAQ1KpVC506dVI/JzIyEhs3bjTbWlSGv/WzZ89w79499e/Q0FCsXr0amTNnRqdOnVC2bFk4OzvH6JdMCzdCly5dUptVDh48GEePHlXnhYWF4ffff0fhwoXh6emJdu3awdXVFRkzZkSTJk3U/WLhwoWwtLQ02wtewHgff/HiBezt7VGqVCl15LYnT55gzJgxsLa2jpEs09PfIIaGhiZ+wImgXbt2MW5yd+zYAVtbW7Ru3VotC/288+fPQ1EUDBs2TP0MLdQWMdwW+vTpA1tbW/WGuFKlSmo/G507d0bp0qWROnVqVK5cGR4eHmrC3NyPDdHLIEuWLMidOzfs7OxQu3ZtPHz4EJ8+fUKTJk2QO3duZMqUCZUqVUL16tU1UQaGza+BqFpT8+bNw759+9QHTADQrFkztfbYx48f0bhxY0ydOlWdb85lYMjwfDl79mx0794dTZs2xerVq/H48WMAwNq1a5E2bVr0799f3QZiGxHbsBaJOYme+I6IiMD06dNRt25d/Prrr8iePTtGjx6NNm3awNbWFidOnIjxGVpIlkVfh127diF37twIDg4G8L9y2r17N+zs7HDw4MEY7zP3hymG63Lw4EGsWbMGf/31Fz5//ozHjx+jdevWqFatmvrA7OXLl6hfvz5mzZpl9DlBQUG4dOlSksaekFgOUS1KOnXqpA5WkDFjRvV+Cog6XqZJkwbTp0/HmTNncPr0aXh6esLZ2dnogdLly5fVawtzxHKglM7sE2WxPd3/8OEDChQoYJTN/tL7Zs2ahVy5cmli1LINGzbA1tYWFhYWarJLv667du1ChQoVUKxYMZQuXRouLi5wcnKKcfFrrhd9hr/piBEjULp0aeTIkQOlS5fGihUr8OrVKwDAvXv30KVLF1SsWBGKomDx4sWmCjnBRUZG4t69e1AUBaNGjULXrl2RMWNG/PnnnzGW7d27Nxo1agQgqqnl06dP1d8+KCgIbdq0UWskmiPD7Vh/g3zp0iWUKlUKZcuWNUqWjR07FpkzZ47RDNOcRb+Znz59Ovbu3atevGzZsgXp0qVD79691dq3+n3o5s2b6nLBwcFo2LChJmqLAFHNBsqWLYvz588jKCgIT548gYuLC5ydnXH9+nUAwK1bt3D8+HHcuXNH3Y7MvTaV4fFRvx+cPXsWd+7cwYULF1CoUCFUqFBBTXicPHkS+/btw7lz5zRRBk2aNMFPP/2k7vcDBw5Uaw3Z2trCzc0Ny5cvBwDs3LkTBQsWRJkyZeDi4oISJUpopkZhbPz9/WFnZ4fu3bvD1dUVZcqUQcOGDdUHTevXr0f69OnRoUMHs94GvmTJkiU4cOAAgKhjnrOzM6ZMmYJnz56hX79+6NChAxRFQf78+b96lGBzYdiP2B9//AEgquaxtbV1jOP+/fv3kStXrhgP0KZNmwY7OzuzTZIZGjBgAOzs7GBvb4/s2bNj6tSpePfuHa5du4aOHTsiU6ZMKFiwIAoUKIBSpUoZHRu0dHxgOQCFChVC6tSp1WaF+nV8+/YtJk6ciMyZM8Pe3h7lypWDp6enej+lteMky4FSKrNPlMVl9erVcHFxUfuYMKTFkVj0NzKBgYHInTs3smfPDn9//xijLv3555/Ytm0bBg4ciDlz5qgHMXM/mBn+puPGjUOWLFmwcuVK7N+/Hy1btoSTkxPGjx+vJsvevHmDP/74A/369TP7dY/Npk2bkC5dOqRPn96oNhnwv21l7NixKF++fIz36hMs5lqDCjBOks2YMQPTpk3Do0ePAEQ92SpZsiScnZ2NmmEOHDgQderU0cwFXvSOV52cnJAzZ04cPnxY3eY3b96MdOnSoU+fPjFqnQH/qy1i2NzInE2ePBl169ZFs2bN8OHDB3U7CQ8PR4kSJdSOaaMz14cHsVm4cCG++eYbtGrVymi9Xr16BQcHhxjNqvTMvQwGDBiANGnSYMaMGTh27BjKli2L48ePQ6fT4Y8//kCHDh1Qrlw5bN26FZ8/f8b27dvRs2dPDB48WN1ftFKTzNDJkyeRP39+o5pSq1atgqenJ1q2bKn2MbNy5Uq4ublp5vho6OHDh2jWrBlSpUqF0aNH48WLF7h58yacnJywf/9+RERE4Ny5c6hWrRoqV65s9vuCoX379qFly5Z48OABevXqBRsbGwQFBeHVq1f49ttv0aBBA7X2GBCVRCxVqpTa9E6n0+Hx48fImzevWXZNABif844ePYoqVarg2LFjCA0Nhb+/P4oWLYqxY8fi7du3iIiIwPnz5zFlyhQsWbJEM9fQAMshujdv3sDX1xe+vr5Ily6d2kehYSJQ/6Dp+vXrmnigFBuWA6VkZpsoM7xQmTRpEtzd3bFo0SJ1x7x9+zby58+vDm0f/aYRMP9q4nH5/Pkz1q1bBwcHB/Tu3TveJqXmfPFv2LTy8+fPCA4ORuXKlWNUAff390ehQoViJI30tHJA15+49u3bB0tLS7VmmX4kIuB/v/fZs2fh6OiIhw8fmircROfv749s2bJh6dKlRiO0XblyBcWKFUO5cuXUZNnLly9jPU6YI8Pjo2Hth5o1a8LR0RGBgYFGybL06dOjbdu2Zt0nX3zevXuH0aNHI0uWLHB2djaaDgB79uxB1qxZcfv2bbP//ePy+vVrdO7cGfb29nB3d1en62tcLlq0CEWLFsWTJ080UwaG6zF27FikTZsWPXv2RKtWrYzmXb58Gb6+vmjevHmsn6OFc4Sfn1+MDtb37t2LbNmyGXVBoNPpMHfuXBQpUgR37tyJ8TnmniiKa5TnlStXolChQqhbty5+/PFHTJs2Df7+/uoDNsP3mnsZ6P32229wdnaGk5MTsmTJYvRw9dChQ6hduzZcXV3x448/Yv369ahduzacnZ1jXDcaXmOYqyVLlqBnz54xRnUcOnSomiSKPtIrYN7X0LFJqeUQ1z4dHh6Ozp07GyWJ9Ayb7H/pM8wJy4Hof8wyUWZY02Xv3r24cuUKGjdujAoVKqBgwYJYuHAhXr16hXnz5iFv3rxqXxuGtDQSi170A5O+083+/fvjxo0bAABPT0+jjpvNWdu2bdGgQQOcO3dOnRYSEgInJye1erDhgA6VK1eO8yZIi3Q6HdatWwdFUTBkyJAYw7RfuXIFbm5umj2hLViwADlz5jTqI+PDhw9qOVy/fh0lS5aEg4ODUd9F5p4giP4QoVu3bjh//rw6zc3NLUaybPXq1ZreFvSePXuGSZMmIXXq1EYj9gFRTdMLFCig6cQxEPUQqW/fvkiXLh0mT55sNG/16tUoWrQoXrx4YaLoEofhdv3jjz+qTej+/vtvo+VWrFiBNGnS4P79+0kcYeK7efMmhg8fHiMZfuzYMRQsWFBNoOmPfxEREbC2tsaiRYuSPNbEZLgtnDx5Elu3bsUff/yhNjk+e/YsRo4cieLFiyNjxozInz8/9u/fH+dnaEHbtm2hKAoaNGgQoxXCiRMnMGDAAGTPnh2VK1eGj4+PJvorBGI+QPf19YWiKKhRo4b6AE1v2LBhcHJyipE41QKWg/E+ffjwYXWgG73g4GB06dIFlpaW2LJlC8LCwtCkSRN07doVgPlfN+qxHIiMmV2ibNOmTfD09ERYWBj69OkDa2trfPjwAZ8+fcKjR4/Qr18/VK9eHblz50bTpk1RoEABtZ8l/Un95MmTKFSokNk3t4yL4YFq+fLlyJcvHzw8PFChQgU4OjpqotZI1apVkSNHDri4uKBNmzZG/cvVqlXLqLaEvklZ165d8d133yV5rElNv53rtwP9KKbDhw9Xb4CbN29uVLvO3C/8XV1dYzzhGjJkiDo6z+3bt7FgwQKUKlUKNWrUUDvuP3/+PFq1amX2F/x6hvu+vjbd2rVr1YFN9KpVqwZHR0ejZph65r4txOfly5cYP3480qZNi8GDB+P69eu4efMmvL29Ub16dc2vPxDVz1CfPn3g6OiIn3/+Ga9fv8aDBw/g6ekJDw8PTV7sGv6uU6ZMgaIoGDdunNHN3u+//45ixYqZ9cA+X6L/XWfPnm002quLiwsqVKhgVEP7yZMnKF26NHbu3JnkcSYFf39/5M+fH9mzZ0fRokXh7OysNs8PDQ3FjRs34OPjA0VR4Ovra+JoE4f+vDdz5kxMmzYNlSpVQuvWrdWHj4bHgbCwMISEhKjTtFDDUs+wNkyPHj2QM2dOzJ49O0b3Ez179oSfn58mj49Ayi0Hw/UYMmQI8uXLh+LFi8PW1hbdunVTk4XBwcHo1asXFEVB6dKlUbRoUU3cT+mxHIhiMrtE2c2bN5EuXToUKVIENjY2sY6ocv/+faxduxYuLi6wsLAwSpoAUTdKsfVdpiWGB7zt27dj2LBh6N+/vyb6ERg5ciTKlCkDIKq5VPXq1dGhQwd1RJULFy4gW7ZsapJEfzFYtWrVGFXJtSx6wjRNmjRo1KgRXFxcUKhQIc2c2N69e4cZM2YY1R6MjIzEgAEDULZsWfTt2xcVKlRAkyZN0KtXL/Tp0wdOTk4xmpeZc7Is+oXsunXrkCdPHqOaZO/fv8eFCxfUv93c3JA2bVqjGpkphT5ZZmlpCUtLS/Ts2RPffPON2gwzJSTL7ty5g969e0NRFGTPnh1t27ZF3bp11dqVWiwDw3UaO3YsFEXBwIEDcfToUVy9ehVeXl6oWLGi5tbd8Nj29u1bNGrUCIULF1a7nXj16hUKFSqEMmXKYMKECVi9ejW8vLxibWKnBXPnzoWdnR2OHz+Ohw8fYv/+/ahZsyYcHBzw9OlTo2XXrFmjyTKIzW+//QYXFxe0bt3a6Fyxb98+o+W0kiABomrRVqtWzSgh3KZNGxQpUgTz58+PMZqrVrpniI7lAPz000+wt7fHqVOn1L8VRUGbNm2M1n/v3r1YtWqVelww5/up2LAciP7HrBJl+p1QP/qQm5sbnj9/HucTrtevX2PLli0oUaJEjFpl5uqfnJTiWtbcD2b9+vVT+xj65ZdfULFiRfVJqD4xsGXLFmTPnh0lSpRA3bp1UblyZRQvXtzs1/2fMtwGtmzZgq5du6JXr16aSJjG5scff8TChQsBRPXN1bZtW7i5uWHGjBnqyJ/btm1DlSpVYjRFNVdVqlTBjBkzjKZNmzYNVapUARA1etnEiRNRtGhRZM2a1Wg04O7du5v9MfHfCgoKwqRJk2Bvb4+AgAB1umEzXK27f/8++vbti6JFi2LkyJHqdMOks9YYJsHGjRsHRVGQJk0atG7dGo0aNVIfIGglWXb//n31OP/LL7/g8ePHuHz5Mjp27IjixYurNevfvn2Lpk2bwsXFBaVLl4avr68mmtgdOXJE/b++D88ePXqoTYX0bt26hWrVqqFZs2b49OlTjHU293Pll64dDbf1NWvWoGLFimjevDnWr1+PunXrolChQppKiBjas2cPatasiYYNGxrVSm/Tpg2KFi2KhQsXxngQpcWySInlYLjd//XXX2jcuLF6r7hlyxbY2tqif//+sLa2xvfff68ObGLInI+NeiwHoriZRaIs+sF406ZN6s7r4+MTa2ezeq9fv0alSpUwbty4xA4zSU2aNEmtCRLfAUpffpGRkWZ9YtPHfuzYMRQvXhxOTk6wtbVFcHAw1q9fDxcXF7Rq1UqtLfj48WP069cP/fr1w4gRIzSVHIr+O37pdzWcZ7juWigHQx8/flSrgy9fvlydZjhi44cPH1C/fn00bNjQrPcFQ9u2bVMTG+Hh4QCiapQVK1YMPj4+KFKkCL777juMHz9ebYarr32pp4WLnH/zez5//hy//PILbGxs8MsvvyRCVMnfrVu30K9fPxQtWhTz5s0zdThJwvDG4Ndff4WiKNi8ebOmmpXpdDqcPn0aiqKoI3haWFiozUovXLiAdu3aoXjx4li7dq36vuDgYLx48UITZbF69WooioKVK1caTW/Tpg0qVaoUY/mff/4ZZcqUiVF7xtwZXgPGtwwAbNy4EXXq1EHRokXh7u6uJkzN+Zz5pf609IMW1K9f3yhJ1LZtW9jY2GDbtm1JEWKSYDlEMdyW9f0zrlixAiEhITh58iQcHR0xc+ZMAEBAQAAURcE333wTo882c8dyIPqyZJ8oM9yJ58yZgxkzZiAkJAQA8Oeff8LGxgY+Pj5Gne+uWLHC6DN8fX3x/fffm32iyJCXlxfKli2r9r8V13oZTtf3v6EFXl5eUBQF3t7e6rRVq1ahfPnyaNWqFc6ePRvr+7SQEDC82L1z5w5evHhhdDMT37agf6qulX3B0Js3bzBs2DCkSpXK6DgQGhqKhQsXol69eihVqpTmao0AwJgxY9CrVy+8ffsWoaGhmDt3Llq2bImlS5fiwYMHAIBLly6hUqVKX3y4YI4Mf8e///77H9WICgoKwoQJE6AoCiZOnJgY4SWJ2Lblr92+b9++jf79+yN79uzqSNFaZ1g2hiNma+242K1bN2TMmBEZM2bE6dOnjebpk2UlSpSIdfRvcz8+hoaGYtiwYUiTJo368ASIukYsW7YsfvvtN/UaCoh6CFumTBk8e/bMFOEmikGDBqFnz55fNVqn4bb/5MkT3L17V13enBOmNWrUUGuaA1AHcDB08OBB1KlTB56enjhw4IA6fezYsZq4bgRYDnqG2/nw4cNhbW2NJ0+eqNeFI0eORJMmTdSE+YQJE/Dtt9+iXr16Zn9MNMRyIIpfsk6URa8OWq5cORQrVgzz589Xq35eu3YNtra2qFu3LtavXw8fHx8ULlxYfW9gYCDy588fa19m5iK2A9LZs2fh5uaGadOmxXnAMjwITp8+HZkyZdLEaGavXr2Cj48PxowZgxIlSqBFixbqvFWrVqFChQpo27YtTpw4YcIoE19AQABKliyJrFmzwt/f32hAgy/VOIs+0pvWvHnzBgEBAUiVKhVWr14NIKoj4m7duqFDhw6aqlloaN68eVAUBQEBATH6mfr8+TPCwsLg4+ODWrVqaeoix3BdRo0ahQYNGuD333+P9/c1fN+FCxcwe/bsGCO+mQvDdbl8+TJOnjyJv//+2ygJEBvDG59Tp05h+PDhMYZ5Nxdfcx6M7z1a6bcR+N/xbdGiRVAUBenTp8fmzZvVWqd658+fR4cOHWBnZ2fUTNHcGdaI0490qh/lPDg4GPXr14ebmxvmzp2L169f4+nTp/D09ESDBg00kywNDw9Hly5dULlyZQwbNuwfJ8v0zPl84e/vjwIFCqjHwsePHyNv3rzw8/Mz6sMTAA4cOIDMmTPDy8sLmzdvNppn7kkilkNMZ8+eRbt27WIMbNWkSRN4eHgAiOoDt2HDhkaJdnPeH2LDciCKW7JOlOn17dsXtWvXhoeHB/LlywdbW1vMmzdPrUJ8/fp1lChRAi4uLqhWrZrRxW54eDiePHliqtAT1E8//YRFixYhODgYkZGR8Pf3h5ubm5r8MjxoGV7szJ07F1myZMFvv/2W5DEnls+fP0On02HRokUoVqyY2nE/ENXcIm/evBgzZowJI0x4hr/vunXr4ODggM2bN2P06NGoVKkSGjdujGPHjqnLxNbZ6uzZs1GoUCE8f/486QI3AX2yLHXq1Gqzm3fv3qlloaWLPUMrVqxQk2X6PtjCw8OxbNkyeHh4oGzZspqsTQdE1ZzIkSMH1qxZE+/2Hf342K5dO7OtRRJ9pKpChQqhcOHCcHR0RK9evXD9+vV43zd79mwMGTLEbPvtM9yWjx07hv379xud978mifalJknmJPq6vnr1CiEhIejWrRsyZMiA1atXx+iH7+bNmxgzZoxmjouGv+vMmTMxcuRIKIoCRVHUmsZBQUH49ttvUapUKaRPnx5lypSBs7OzZo6P+jIICQnB4MGDUalSJQwdOvSrkmXmvu56nz59QuPGjfHDDz8AiOrf9q+//sKGDRtQqVIltGnTJsZgNtWrV4ejoyMGDx5sipATBcshpvXr16N8+fJGNUj12/2BAweQJk0aVKhQASVKlECpUqU092BVj+VA9GXJPlG2Zs0a2Nra4uLFi2pHki1atICDgwPmzZun1ix7/fp1jGriWjnZA/8b7dPS0hKDBg3Cb7/9hk+fPqFYsWLo0qWLulz0JnVz586FtbV1rM0qtODt27dYvHgxihUrBj8/P3X6vn37NHPRH92RI0fQq1cvLFq0SJ22fft21KxZE40aNTJKlhmWwdy5c2FjY4P169cnabym8ubNGwwdOhSKomDPnj3qdK3UFjBkuE76fsiGDBmC169fIzw8HNOmTUNAQIBma9MdPnwYuXPnVkdp+vjxI54+fYqjR4/GqCFlWFbz5s2DhYWFJo6PkydPhr29PQIDAwFArSV08uTJGMtGL4O0adNq4rjQv39/ODg4IH369HB1dcWsWbPiTAwYlsGsWbNQrlw5tVsHc2W4jnfv3sX169eN+pJp3749MmTIgLVr16rNk3v06GGUVNTSeXPIkCHIkSMHVqxYgWnTpuHbb7+FoihYsmQJgKjrh5s3b2LFihXYvXu35kZv028PISEhGDRo0Fclywz3i/nz55t9v1QrV66Eoiho0KABFEXBlStXAABr166Fi4sL2rRpo9aoCg4ORseOHfHbb79p6v4BYDlEt2HDBri5uSF9+vRGTUz163vkyBH07NkTo0ePVo8HWjo26rEciL4s2SfKZs2aBWdnZ4SFhRkdsH19fZElSxbMnTs3xpNgLRzYY1uH4cOHw8LCAuPHj4e3tzfatGmDVatWIWfOnLFezMydOxe2traauAn8krdv32LJkiUoWbIkvLy8jOZp7YD+9OlTFCxYENbW1pg6darRPH2yrHHjxjh48KDRPK0nTOMSFhaGuXPnaubG50viSpa9e/fOaD/Q2j4BRA1TXr58eTx58gTnzp3D4MGDUbBgQeTJkwc1a9ZUbwpie4igb45lrnQ6HT59+gRfX19MmTIFQFTfM9bW1pgzZw4AICIiQm1yp6UyMFyXwMBAlCtXDsePH8fly5fRpk0bVKlSBb/88kuMxED0MrCxsVFHf9SCgQMHolixYsiQIQO8vLyMRjTt0KEDrKys0LdvX9SoUQN58+bV5PHx5cuXKFu2rFGfTM+fP8eAAQOgKEqcNey1cHyM7WFQcHAwBg4c+MVkWfQkmaIo2LRpU+IHnMjKlSsHRVGM9gMgKklUpUoVVK9eHX379oWHhweqVq36VbXuzBHLwdiBAwdQo0YNVK9e3egBc2zrq8VjpB7LgShuyT5RNmPGDDg6OqrV4fUX+xcuXEC6dOlQunRpzJ07N8awxVqxa9cuo6RHs2bN0L9/f/z999+oU6cOypcvD2trazRs2NCo/7GtW7ca9cmhdW/fvsXMmTPRsmVLzZ7U9S5duoQiRYqgTp066gifejt37oSTkxMGDRqkTtNCwjS+J99fIyWc4A3LRN8MU58s0YrYtoXz588jbdq0qFWrFqytrdG+fXusWrUKu3fvRr58+bB//36j5efMmQMbGxuz3if0IiIioNPpULVqVZw7dw7Hjh2DlZUV5s6dq86fMWNGjD4b9QkiLZTB5s2b0alTJwQEBKjTgoOD0aVLlxjJMsPjgFYeIBjuEytWrICDgwO2bNmCjRs3YsCAAcifPz+6deumLjN06FA0btwYzZs3V6+tzD1BFP188Pfff8PGxsao5rV+erly5ZAmTRq1ZpmWGG4LwcHB+PDhg9rU9tWrV/D394+RLNN3ZaGn3y+0kCQ7e/YsatSogR9++AGKosQYrOTAgQPo0aMHqlatCj8/P800vY2O5fA/htv6zp074e3tDW9vb6NzpBZbHkTHciCKX7JPlIWEhCBPnjxo0qSJ0fTff/8dHTp0gJ+fHwoXLowFCxaYfbMJQzqdDg8ePEDx4sVRvXp1tZ+AlStXomPHjnj48CEAYMGCBXB1dUWNGjWMDmgXLlzQVMe8X+P9+/dfNQy6Fly8eBFly5ZFp06d8OeffxrNO3HihHrTs2nTJiiKYtY3gtE7Kv/999//8fvMfRCLLw3O8KVld+/erakEoWHn9OfPn8elS5cQFBQEIKoz+vHjx2Pr1q3queD9+/coW7Ystm/frr5v+fLlyJQpk9nuE4ajlE2ZMkVtVtymTRvkzZsXGTJkwLJly9RlXrx4ATc3N6OEqVYSREBUrVF3d3ekT58ejRo1MpoXHByMrl27wtXV1agzc0BbiUI9fbN8w9rGr169wty5c1GoUCGj2lWGTTK1dIzYsGGDum7fffcdvL298ddffxkt07p1axQrVgzVqlXT1I2g4fb9888/w9PTE05OThgwYIA6oJU+WVa5cmUMHz48xrXSvHnzNHNsAKKa4YeFhSEiIgLDhw+HoihYsGCB0TI6nQ4fP340GgBCa1gOxgz3+x07dqBu3bqoV68eDh06ZMKokh7LgejLknWiTL8D79y5E/b29qhbty7++OMP/P7776hbty46d+4MAOjcuTOyZMmCpUuXmvVFT2zJnatXr2L+/Pmwt7dHnTp1sGLFClSsWBHDhg1Tl3n27Jnmq0j/E+a8DfwT58+fR7ly5dCpUydcvXo1xvyPHz9i7969ap9F5s7f3x85cuSAjY0NypQpg8DAwDhH9TPcBhYsWIAWLVqo/RmaG8N9+s6dO3jx4oXRBWxs27tOpzN6n+HFrznq0KEDbty4of49aNAgZM2aFY6OjnB0dFQ7Itav84cPHxAcHAxvb29UqlTJqLbMtGnTsGPHjqRdgQRy8+ZNFCtWDB07dkSfPn2QOnVqNVF+7tw5uLq6wsnJCUDUNvD69WvUrVsXVatWNSqDUaNGmW1t49gGKXn06BGaNWuGIkWKxKhBFBwcjBYtWuCHH35Q37N27VpN1bjW6XS4efMmMmTIAEVRYnTArd8OunfvHut7teLGjRsoW7Yspk+fDiDqwWKVKlXQp08ftR+2t2/fomHDhtixY4em1t3QkCFDkCVLFixatAhTp05F1apVUbVqVZw9exZAVLJs0KBBKFCgAObNm6e+b8qUKbC1tdXUfmHo9evXGDFiBBRFMUoaGx4btbhNsBxiF71GlYuLC/r162fCiEyD5UAUt2SdKNOLiIjAsWPH4OzsjJw5cyJPnjyoVKkS3r17py7Tq1cv3L5924RR/jeGN7UXL17EkSNH8Pfff6vTX758CS8vLzRu3BguLi5QFAVbtmyJ8zMoZTh//jwqVKiApk2b4t69ezHmm/PFjuH2vH37dhQrVgy7du3ChQsX4O7ujiJFimDbtm0xkmXROyq3tLSMMcS5OQoI+L/27jyupvz/A/j7lBJSaSyjQgtCIpFKFCVt1giRfRlLosgy2b5mED8ZEirGLjuNdezGMpaSZQyyjEEK2bWq7uv3x33cM/dWZlW5p/fzn9G559z5nM89y+fzPu/z+UyDlZUVqlevjtDQUCQkJIif/VnGWUpKSqmVsSSkp6ejZcuWMDIywv3795GQkABTU1OcOHECP/74I/r27QtdXV3xCeiHDx8wZ84cODo6wt7eXnyFRApPxzMyMvD999/jiy++gK6urpglosgE2LBhA6ytrVG7dm04OTmhdevWsLW1FetAeUZodaR8TUhLS8O7d+/EAPjDhw/RrVs3uLi4qGTUAfKJPRTb5ubmYufOnThy5EjpFbwEFHdt//HHH2FiYgIHBweV6wMATJgwAW5ubh99uKCOCr8umpWVhZEjR8LNzU1sHy5YsACOjo5o0KAB+vfvDxsbG9jY2IjbSq3dFB8fj8aNG+PSpUsA5OM3VqxYEc2bN0fLli3FhwovXrzAihUrxHrIzMyEj48PNm/eXGZlLw2vXr3CrFmzoKmpiSVLlpR1ccqMlOtB+dqomLTk76x77tw5SV0PuB4Y++/UIlCm7OrVq7h+/bp4EisHy9SV8gVqypQpqFOnDoyMjFC1alWMGDFCnLVMJpNhzZo1GDJkCARBQFBQUFkVmX1GLl68iCFDhkj2xrZp0ybMnz8fCxcuVFnu6emJBg0aqATLCs/yqc4DlSv/ntu3b4exsTH27NmD//3vf7C3t4evr6/KwKvFZdqsWLEC9evXx7Nnz0qv4CXg0aNH8PT0hJGREVasWIH58+eLn2VkZGDw4MHQ1dUVsycTEhLw7bffSmqWT8Xvun//ftSoUQMNGjTAV199pfJ75+Xl4eHDhwgPD8e8efOwdu1ayczkp7yfinPA0tISDg4OYtDr0aNH6NatG9q3b48NGzYU+Q6pZF4rl18RKFQs279/P0xMTDBgwABxrJnXr1/D0dERQ4cOLf3CloJ9+/bh6tWrAOT7Wrt2bYwePVr8/OTJk5g3bx78/f0RHBwsmXHZinP+/HlMmDABgLxevvjiC8TExODgwYOoWbMm7O3tcfbsWZVtFPXwV51pqXj16hWCg4PRpk2bIjPFlydSr4fY2Fjxocmfnev/ZGgLdcT1wNi/V2aBsn96AhbXsJVCI0d5v6KiolCjRg0cO3YMaWlpWLt2Ldq3b4+ePXuKKfOAPCtg06ZNat/xYZ+OVMdmKygogImJCQRBwMiRI4t87uXlhUaNGmH79u0qmRJSGqxdMe6Q8itlihlOu3fvrhIsKxwo1NfXx44dO0q1vJ9S4cw4Hx8fCIIgDkyu+DwjIwNDhgyBvr4+Dh48qPId6n6fKBwAffLkCe7fv4/Y2Fg0b94cQ4YM+cvvUPc6UDZ79mwYGhpi06ZNiIyMxKBBg1ChQgVs3LgRAPD777+jR48esLKywqFDh8q4tCXr22+/haOjIzp37ow1a9aIg7bHx8fD2NgYxsbG8PLyQo8ePdC6dWsxECKlDtCBAwcgCAJq1aoldgYPHjwIKysrxMXFqayrfH+UQvvpY/f7Fy9eICsrCx06dMA333wjrmtvb4+6deuK1wwpHAf/JGtG2bt374p9uKSuuB6K6tOnD8zMzP6yfay837du3RInjZMKrgfG/r0yCZR9bDrq4v7+s8/UuaGjGIAZkO+HTCZDnz59EBgYqLJefHw8mjVrhnnz5gEoeoFT5zpgn5bUGjnKA8o6OTmhbt26+Pnnn4ucA61atUKfPn3Evzdv3gwdHR1JBMnS0tJgYWEBPT09lQG6gT+CZb6+vioz4wLSGKz9zp074r9XrVqFFy9e4MGDB+jVqxeqV6+OW7duAfjjOMnMzES3bt3g5uZWJuUtCcrHempqKt69e4d3794BkGfOREZGonnz5hg+fLi43oQJE8TjQd2vCYU7fC9fvoSDgwPWrFkjLsvPz8f06dOhqakpPlB68OABpk6dKqkAYWGrVq1CrVq1sHjxYri6uqJNmzaYOHGimGV/8OBBfPnll2jdurXK7I7q/uplcW2gHj16oGXLljAzM0NwcDDCw8MRGBiI4OBgPH36VO3Pg+Io18Nvv/2G5ORklc8fPHgAIyMj8UFJWloa+vTpg127dknugRrw97NmpK681oPyOa6cMVr4/vhn20VGRqJ27dp48OBBiZWzpHE9MPZplXqgTPlkjIqKQkBAAMLDw8XxFAqvU9yyH374Qa1v9MuWLUPDhg1VBlFVBMoGDRoEQPUGN3nyZJiampabtHjGFBSB4A8fPsDa2hpNmzbFpUuXilwjFNeDvLw8LFiwQFKZJNeuXUPDhg3h7u6O69evq3x24MABNG3aFFOmTBGXRUdHw8DAQK2DZD///DNatmyJDRs2YPz48RAEQRyD7+HDh/Dw8MCXX34pjkupOB6ys7PV+t6gTHk/5s2bh7Zt26JJkybw8/NDUlISAHmwbNmyZWjWrBkcHBzE11Ol8ADF1dUVs2fPVln2+PFj6OnpYdu2bQAgvi6UkZGBDh06YNKkSUXGYZNKZ7Hwcf1///d/4uulipns7O3tERwcLAbL9u7di7p162L48OFFAinqTjmQvmbNGkyZMgXx8fH45ptv0KVLF+jq6sLIyAh79+4tw1KWvClTpogPU3r16oXr169DJpPh9evX6NixI3x8fLB161Z06tQJbm5uknn9uDDOmpEr7/UQHh6OadOmibOjx8XFwcXFpUimOaBaB9HR0TA0NMSWLVtKrawlieuBsU+jzF69nDdvHgwNDdG3b1+Ym5vDw8ND5RUh5RO38ODcgiDg1KlTpVreT2Xp0qU4cOAAhg4dCicnJ5Vg2ezZs6GnpydmSiisXr0azs7O4msVjJUnysGypk2bwtraGgkJCR/NMJVaBwCQj83YokULjBgxQpzlUOHcuXNiMGD37t0QBEGtg2SAPADUr18/GBsbQ09PTwwMKX7zR48eoVOnTjAyMsK9e/dUPgOkdQyEhYWhRo0aiIuLw7Zt2+Di4oJ69erh4sWLAIC3b98iPj4eQ4cOxYgRI8TzQN0DROfPnxcfDikH/rp27Yru3bsjPT0dwB+/e5cuXf70ibk6Uz62t23bho0bN6Jfv34qE/pkZmZixowZcHBwwMSJE8WO7759+2Bubo4+ffoUaVuoq59++gmCICA0NBRXrlxBbm4u3N3dERYWBkCeYeXn5wdBEODj41PGpf20lM/ruLg4mJmZYdu2bdizZw/q1asHFxcXsXO8bds2uLq6wtzcHO7u7mIQWd2vj5w1I8f1oOrp06do2bIldHV14eHhgblz5yI7OxsdO3bEiBEjxPUKzwouhQx8ZVwPjH06pRYoK3xjHj16tDjw8qVLl+Dn54d27dqJT4oV2xSOdOvr66vt4NwdO3ZEgwYNAADJyckYMmQIWrdujRUrVojruLm5wdTUFJcuXcLTp0+RkZEBNzc39OzZs6yKzViZUw6WNW/eHDVr1pRMp+/vSkpKgq2tLUaMGIFff/21yOcfPnzA4cOHxeuqulJ0BJctW4aqVauiefPmWLduXZFMoUePHsHLywuCIKj9zJ4f8+OPP6JZs2bihC4HDhxA1apV0axZM9SsWVOc2VBqr+Qr7094eDh69+6NjIwMAPKHZQ4ODpg2bZr4Gmpubi5cXFzEQImUKNdFSEgI9PX1UadOHWhra6NTp04qn2dlZWH27NkwNzfH0qVLxeU7d+5E06ZNkZqaWqpl/1SKe8tg+/btaNOmDVxcXLBs2TI8fPgQxsbGKp283bt3q33AWKFwxs+BAwcQHh6u8rA1LS0NjRo1Qtu2bcWHC9nZ2Xj06JFK1rVUcNaMXHmth+KuC1FRUahfvz52794NS0tLjB49Gt988w0EQcDWrVuLrB8TE6P249lyPTBWckolUKbckDtz5gySkpLg6+urkhmRmJgIPz8/ODs7Fzv4tLpHuq9evQorKyvx9YdffvkF7969w5AhQ+Do6CgGy169egVvb2/o6+vD3NwczZo1g7W1tdhJlOJYG6z8+ifHs3KwbMCAAZLpAP0TSUlJsLOzQ69evcRXEZWp8/WhcLAnMTERSUlJCAgIgKOjI1auXFnkN3/48CEmTJggmWNBuQ7evHmDu3fvIjQ0FIB8zKkaNWpgxYoVSEpKQt26dVGnTh1xZkMFdT4GCisoKMDBgwehpaWl8iR89uzZaNWqFZo0aYIhQ4bA3t4eTZo0kVQQoLDnz5+jV69euHr1KtLS0hAZGYlmzZph4MCBKsdNRkYGVq9eLZ4TiuPh/fv3ZVLu/0p53xRZ9Yplv/zyC5YsWYKaNWuiY8eO6NatG/z9/fH48WOV71D346Jnz55i27egoADp6ekQBAGCIGDmzJkq66alpaFx48ZwdnbGTz/9JNlMW86akeN6ALZu3aoybqW7uzuGDx+OvLw8BAYGYtiwYRAEAUZGRuJwDYB8GB9BENQ2+aIwrgfGPr0SD5Qp36RDQkJgYGAAAwMDaGtrY/ny5SrrJiYmom/fvmjcuLHK4NSRkZEwNDRU6wv6y5cvUatWLXz11VeYMmUKBEHAhw8fcPv2bQwZMgQODg4qTwZ37tyJ9evXY/369WKDV90be4wpU742vH79+m9tU/gcKJxlVB5cvHgRQ4YMkVSnR3lfrl27hsePH+P58+cA5AGCPn36wNHREbGxseJ6c+bMwatXr8S/pRIsA4CpU6di2LBhAOT3jvz8fHh7e2P69OkA5PXVsWNH1K5dG97e3mVZ1E/q1KlTYuAvJCREfIB09OhRVK5cGYMHDxbXPXz4MCZPnoyAgABMnTpVMq+cFmflypUwNzeHt7e3eK3MzMzEypUr0aJFCwwcOLDYAKlyXahjAFX5uhAZGYnevXvDx8cHixYtwtu3bwHI7wFpaWno0qULatWqBUEQis2kUVfv3r3DwoULxUkYFMHCO3fuwMjICI6Ojrh9+7bKNk+fPoWhoSHGjh1b6uUtKZw1I8f1oOrJkycYMGAADA0NMWTIEDx9+hS3bt1Cjx49xPGsz507B39/f9jZ2alcUwoKCtR2GJ/CuB4YKxklGihTvqDfu3cP1tbWuHDhAg4ePIjBgwfDwsJCJfoNyMclmTFjhtjAu337NmrXrq22qcHAH429U6dOoUKFCqhatSp+//138fM7d+6IwTLl1zCVSbHxz8ov5Zt0VFQUxowZo/KE62PUsbNXEv5qoF51NXXqVNSpUwd16tSBj48Pzpw5AwBIT0+Hv78/HBwcMHLkSHh7e6NatWqSuS4qH9dHjhxBkyZNVCa4SU1NhYmJCTZu3AhAHjzz8/PD4cOHJXNOPHnyBK6urvDw8EC/fv1QoUIFXLt2Tfz8yJEjqFy5MoYMGfLRAJAUHybl5+dj69ataNasGUxMTFT2VxEsa9WqFTp37iyZY6GwKVOmoHr16pg3bx7GjRsHW1tb+Pv7482bNyrrbdy4EWPGjJHMcdCwYUMMHDhQ/DsyMhJLlizBixcvAMgHYdfX10eXLl2KjNWoCLBLDWfNyJXXeiiuzfPmzRucPn0apqamcHd3x5QpUzBlyhTMnDlTZZZf5XaTul8juB4YKx2l8urlokWL4O/vj/Hjx4vLbt26hcDAQFhaWhYJlikUFBQgMzNTEoNMAsDy5cuho6ODihUrFnnSpwiWtW3bFhEREWVUQsZKnvIN/tdff0Xv3r1RrVo1TJo0SSWAXJhyJ3DFihUq15PySAqdYuV9OHHiBExMTHDs2DEsX74cffr0gYWFhZhd/OLFC4SGhqJbt27w9fWVzMDUyuLi4jB+/HgEBwcD+OMByYcPH+Dr64vmzZtj1apV6NChA9q2bSu5GexOnDiBunXrokKFCli/fj0A+b4p9u/IkSPQ1dXFiBEj1PZVwr9S3G+ZlZWFvXv34ssvv4SHh4fKZ5mZmVi0aBEGDx4smeNA2aZNm2BpaSmOx/fDDz+gYsWKsLCwQLdu3cRx6gpT9w7g/Pnz0bRpU5Vlw4YNQ7169RAbGysGy27evCkGy+7fv1/ke6QULOOsGbnyWg/K+3H69Gls2bIFly5dEl+1fvbsGaZMmQJPT09oaWlBW1tbnBlYQQrtJq4HxkpPiQTKlE/i9+/fIyQkBFWqVIGXl5fKeopgWZMmTRAVFVUSRfmsnDhxArdv38aePXtQuXJljBw5UuXzO3fuoHv37hg5ciRfxJjkBQcHo3HjxhgxYgQ6deoEQRAwYcKEvxx7SzG2RnFjGTL1tGHDBkydOhWLFi0SlyUmJsLf3x9mZmY4ceIEACAnJwc5OTni8aDunWFlMpkM7dq1gyAIcHNzE/dR8d/jx4/D19cXTZo0QefOnSUTKFQu/9WrV+Hk5AQHBwd07txZzCgE/ujwHz16FIIgYP78+aVe1pKmXBfHjx9HXFwcDh48iLS0NAB/zGBZeCZH5XNCSsdDQUEB4uPjERISAkAeJDM0NERkZCSWL18OfX19+Pv7/+1X99XJkiVLYG5ujtzcXEyfPl0ci2zEiBGoX78+oqOjVYJlhoaGaNOmDZ48eVKWxf6kOGtGjutBVWhoKExMTFC3bl2YmpqidevW4gO1rKwsXL9+HePGjYMgCOjcuXMZl7bkcD0wVvJKNKMsKysLgHx2slmzZkEQhCKvFt6+fRsBAQHw9/cvN8GhrKwsxMXFFRsse/z4sXhTLC/1wcqfw4cPo1q1akhMTBSXrVy5EgYGBggKClLJIlV+Iq6Y+VYKY2swufv376N9+/aoUqUK5syZo/LZ5cuX0a9fP9SvXx+HDx9W+UxK10fFvuTn58Pf3x9GRkZYu3atOB6RQkFBAZ4/fy6ZQKFyB/Cnn37C/fv3kZWVhePHj8PDwwOenp4qwTKFxMREtd/3PzN58mTUqVMHbdu2haWlJdq3b4+jR4+KgaMGDRqgS5cuRbaT0jkxd+5crFq1CoD81eOXL1/Czs4O4eHhAORjF1pYWKBatWqYOHFiWRb1k5PJZDh37hw6deoES0tL6OrqqtwThw0bJgbLXr58CQC4fv16kVlQ1RlnzchxPajWwdq1a/HFF1/g9OnTePfuHY4cOYKAgACYmpoWuVfs3btXUhmVXA+Mlb4SC5TFxsbCzMwM6enpAOQNna+//hq6urqIjo5WWff3338vd8Gh7OxsxMXFoUqVKhg1alSRz6XS2GEMKHo879+/H6ampirnPiAfg0UQBEyePLnIayQxMTGSmaWpPCvuGr9//364ubnBxMQE169fV/ksKSkJnp6e6NWrV2kVsUwoGrL5+fno3LkzbGxssG3bNjE7oHC9qfs9Qnl/pk6dirp162LdunVicHD//v3w8PCAj48PfvrpJwBAt27dsG7dOnE7qQTLlH/L1atXo3bt2vj5558BAOHh4ahUqRL2798PAMjNzcXevXuhq6uLSZMmlUl5S4JyR27z5s2oVauWyoOUy5cvw9jYGJcvXwYgz8Dv3bs3du3apfbnwsd4e3tDU1MTLi4uKhOXAPJgWcOGDREbGytOfKIgpfrgrBm58lgPymNTK671QUFB6N+/v8p6169fR/fu3dGvXz/k5OQUuS+o+32C64GxslNigbLbt2/D0tISdnZ2YrDsyZMnCAsLg56ensrsZQpSurn/HTk5OdiyZQsEQcCCBQvKujiMlbhHjx4BkHeCq1SpIg7Wrcg+TU9PR61atWBkZIRZs2aJneaYmBhUqFBBbQegZXLK1/i8vDxkZmaKf588eRKdOnWCvb09fvnlF5XtkpOTy8X9QXmGYx8fH7Ro0QLbt29HTk5OGZes5CxcuBA1a9bEzz//XGRw9v3796Nz586oV68eWrRogbp160pqptuTJ0+K/1b89uPGjUNQUBAA+ezXenp6WLlyJQAgIyMDz58/R35+Pk6fPi2JLAHFtV9h//79+Oabb7B06VIAf9TL3bt30axZM4wePRoJCQnw9PSEr6+vSjamVOTl5eHFixfo2rUr5s2bBzc3N3Tp0kW8fyqMGDECenp6iI+PByCNB82cNSNX3uvh4MGDEAShSJb5pEmTYG9vr9J2AICIiAiYmJgUCSirO64HxsrWJwmUFe7AKG7W9+7dQ9OmTWFra6sSLJsxYwYEQRBv7lLxbxop2dnZOHLkCEf6meRt3rwZRkZG4t9dunRB3bp18ezZM3FZSkoKxowZg2+//RYVKlTAhQsXAADTp0/H7t27S73M7NNRvk8sWrQI3t7esLe3x9ixY8UO4IkTJ+Dp6QkHBwfcuHHjT79DqpSDZV27doWRkZGYOSA12dnZ8PDwwP/93/+pLFe+HyYmJmLVqlWYPXu2uFwK98vw8HA0adJE5TUpmUyGoUOH4vvvv8fZs2dVMvDz8/MRGxuLtWvXqnyPOneKx4wZg8WLF+Pt27cA5K9TCoIAQRAQGhqqsm5ubi7mz5+PJk2awNjYGE5OTpIZp++vrF+/Hi4uLujatWuRYNn8+fPV+hhQ4KwZOa4H+fi1O3bsQEREBKpVq4bZs2eLn61duxYWFhbYsWOHSpDoyJEjaNGihaTG6ON6YKzsfdKMsq1bt4r/VgSN7t69CysrK7Rq1UoMlj169AgxMTFqfSEvTLmh9rFZmP6KFBo7jH2MYkyZJUuWAJDPeOni4oKaNWtiw4YN2LJlCzp16oROnToBACwsLMQBjDMyMsqs3OzT+vrrr1G9enXMmDEDs2fPRu3atdGmTRucP38egHz8us6dO8Pc3LzYiR3KA+VgWWhoqGTvDc+fP0f16tVVZrhUyM7OLraxL5W6ePDgAXr06AEXFxeV4NfChQshCAK0tLRU2lRv376Fm5sbZs2aVfqFLSG+vr7i64OKDIi7d+/C2NgYLVq0KJJZmpubi5SUFCQlJYnHipTakYUpH+sbNmyAi4sLunXrViRYVnhddcNZM3JcD4CPjw+aN28OQD5hQUREBAwMDFSue76+vjAzM8Pq1auRnJyMtLQ0uLu7w8PDQxJZlQDXA2Ofi08WKHv8+DG0tbXFTi7wR7DsypUrMDAwgKenJ54+faqynRQaOcqN+7lz58LPzw+pqan/aLvCgzYzps4K36Tz8/ORlZWFESNGiGNNyWQyPHz4ECNHjkS9evXQsGFDuLq6imMy2djYYPXq1aVedlZykpOTYWFhgYMHD4rL0tPT0aJFCzg7O4u//Z49ezBp0iS17vwpS0hIEP/93Xff/a3syML3RnV/5fBjDXcPDw90795dnLlQ8ZufO3cOYWFhkpzRUHGcp6enw9fXF+7u7ipjrw0ePBi6urq4fv060tPT8eDBA3h4eKBVq1aSazONGDEClpaWKrM43r59GwYGBujcuTPu3bv30e+RyvXhzyjX1caNG+Hq6gonJyeVTGx1xlkzclwP8jeOHB0dxfvjyZMnkZycjEWLFkFfXx/Tp08X1w0ICIC1tTUqVaqE5s2bw9bWVjIZplwPjH0+/nWgrLgT8PTp0zAxMYGnp6fK8pcvX6J169YQBAGDBg36t//Lz15oaCiMjIwQExOD33///U/XVe40LF++HLNnz1aZ0pkxKVDMzKRw6dIlaGpqYvPmzSrLU1JSVDrEYWFhqFevXrnNKJKqmzdvwsjISByQWzH2VmpqKqpWrVpkVmRA/TvD9+/fh56eHkaPHo3Q0FBUqlQJt2/f/svtpPREWLm98PjxY9y8eVM831evXo1mzZphxowZ4gOjzMxMdO7cGZ6enpKqB0C1Lg4dOoTg4GBUq1YNTZo0QVxcHAB5oKhr167Q0dGBmZkZbG1t0aZNG7EDpO7nhHIdpKamwsXFBU2bNkVMTIyYHXPz5k3o6+ujS5cuRSZ2KW+Uz4Ho6GiMHTtWEp1gzpqR43qQe/PmDRo0aIBevXph6NChqFq1Kt69e4cXL14UGyS6cuUK9u3bhyNHjqhkYas7rgfGPh//KlCmfIM+evQodu/ejQMHDgAAzpw5UyRYlp2djaFDh+LatWtq38D7mH379qF27dq4ePGiuCwjIwO//fZbkdfGlG9qMTEx0NbWxvbt20utrIyVhlWrVsHOzg4TJ07Eu3fvxE7w+PHj4ePjg6dPnxaZ7fbatWsYNWoUqlevjqSkpDIrO/vvimu8p6enw8DAQGVMqg8fPiA/Px8ODg4IDw8vzSKWqIcPHwKQ3we2b9+OSpUqoWrVqnjw4AGAP88QU667iIgI9O7du0TLWpKU92X69Omwt7eHrq4uunTpImZNTJ8+Ha1atUKjRo3Qo0cP2NrawtraWqwjqXQElU2bNg01atRAREQEFi5cCEtLS7Ru3VrlIcL+/fuxa9cuHD9+XJKvGgYFBcHNzQ1ubm6oU6cODAwMEBMTg5cvXwKQB8sMDQ3Rpk0byWTNKPzTY7q49dU5WMZZM3JcD3KK8qenp0NLSwtVq1bF4cOHxc/T09PFOlEMyVGYFPqXXA+MfV7+caCs8JTuxsbGsLGxgY6ODoYNG4bk5GScOXMGpqamsLGxwcyZM+Hs7AxHR0fxAiCFk7hwoyU6Ohrt2rUDII/uz507Fw0aNIChoSGCg4PFp+eFnwzq6enxTH5MEgo31K5fv44FCxbAwsIC1tbWmDx5Mh4/foxjx46hQYMGYlaR8naPHj3Cli1bcPfu3VItO/u0lH/T58+fo6CgQLz2zZs3D8bGxirjMuXl5aF58+aIjIws7aKWiIkTJ6J9+/biPu/fvx+VKlVCtWrVMHbsWHG94u6FhR+kGBgYYOPGjSVf6BL27bffonr16jh69ChSUlLQq1cvVK1aFcnJyZDJZDh27BimTZuGUaNGYf78+ZIauL+we/fuwdzcHHv27BGXPXz4EB4eHrC2thYzywqTQttJYevWrTAwMMDVq1fFwfz79u0LY2Njlcyy69evo1OnTmofCFCmvC+F25J/FkCT0oDtnDUjx/Wgau/evRAEAbq6uujbty9SUlLEz9LT0xEREYEvvvgCEydOLMNSljyuB8Y+D//61csFCxaoZFAtW7YMgiCgd+/euHfvHh48eAAfHx+4ubmhR48eknnqARQ/cP/JkyfF/a9Tpw4CAgKwatUqREdHo2LFikUGpY2JiYGenh527txZqmVnrCQonxNHjhwRsyAAeebMnDlz0LFjR+jr62Pp0qUwMDCAq6vrXwYKmHqbPXs2HB0d0apVK2zevBmvXr3CixcvMGHCBOjr62PEiBGYNWsW3NzcYGVlJZkG/7Nnz8R7niI75u7du9i6dStq1aqFESNG/OV3qPuDFMV5LJPJ8PLlS7i6umLHjh0A5NeIKlWqiGMQfuycl1JgSNmzZ89gZmYmznCn2M/U1FTUrFkTrVu3RlRUVFkWscQtX74cNjY2ePfuncr9o0ePHqhevTpiY2OLjMMlhfaj8rEeFRWFgIAAhIeH49KlS8WuU9yyH374Qa3rgrNm5Lgeinr8+DHev3+PO3fuQF9fH7169VIZ8zk9PR2zZ89Gp06dJN1W5Hpg7PPwrwJlT548waBBg8QZmXbt2oVq1aphxowZ0NfXh6+vrxj9Vn69RAqdIOXGyYIFC9C3b1+kpaUBAHbv3o0+ffpg/fr14v6/ePECdnZ2SExMFLeLiIhA1apV1bYDxJiyP8syDQgIEG/uubm5WLp0Kdzd3aGtrY22bdvyDV7C1q5diy+//BLR0dHo0qULrKysMHXqVLx69QoZGRlYv349WrVqBS8vLwwaNEgy4y8p27x5MzQ0NHDz5k0AwOvXr7F27VrUqlULo0aNEtcLDQ3F/v37xb/V/UGK8n3y7du3yMjIgJ2dHW7cuIEffvgBurq6WLlyJQD5OHWrV6/Gzz//XFbFLVHFBTSePXuGJk2aICgoSFxHsZ67uzuMjIwQEhIi6etjZGQk6tatK573ikHKr1y5Ah0dHdSqVQvx8fEApPnwZN68eTA0NETfvn1hbm4ODw8PMZAMqO5z4SxTQRBw6tSpUi1vSeCsGTmuh+JdvnxZDBIp+lmAPAtP+UGM1HE9MFZ2/lWgLDs7G7t378br16+RkJAAU1NTLF26FIA8CCQIAtq3b68ykLfUTmLFwP2xsbEqszIpgoEfPnxAZmYmvLy80K5dO5XG8qRJk7Bp06ZSLzNjJeljWaY9evRQeZXy4cOHOHXqlBgQUecn4+wPhX/HFStWIDo6Wvx7zpw5sLGxweTJk8XGXuFxutT9YUrhOkhNTUWnTp1Qu3ZtlWDZunXrUL16dTg7O8PNzQ316tUT9z02NhYaGhp/a2bMz11gYCBGjx6Nhw8fws7ODj179oShoaHKpA137tyBp6enJPa3MOXj4d69e/jtt9/Emb/37t0LTU1NLFy4UFwnLy8PAQEB2LNnT5HxG6XmzZs3qFOnDnr27Kmy/MKFCxg+fDhmzpwpqaB54WvD6NGjcfLkSQDySW78/PzQrl07bNu2TWWbwsN16OvrS+YhK2fNyHE9FKU4Xy5fvgwDAwP06dNHJYAISPfaqIzrgbGy9a9fvVR0cObPnw8fHx+8efMGgLxzPGDAAHh6ekq2A7x7924YGRmpDNyfnZ2N33//HTKZDPn5+Vi1ahXatWuHli1binWl7p1Axj7mz7JMDQwM0LNnT/z6669FtpNSR6g8U26obd68GUuWLMGAAQOKjLX0zTffoEWLFpgyZYo4qH1x36HuYmJicObMGQDycfe8vb1Ro0YNMVj2/v17HD9+HH379sXo0aPFe0RWVhZWrlyptkEj5d/wzp07aNiwoVgPBw8ehI6ODrp37y6u+/btW3h7e6NDhw6SuxYo18WsWbNgbW2NRo0aoXbt2li1ahXevHmDlStXQhAEdO3aFUOGDEHbtm1hZWUltp2k2oZS1M2BAwdQq1YteHl54eLFi7hw4QK8vLxUXk2WwnGh/DueOXMGSUlJ8PX1xY0bN8TliYmJ8PPzg7Ozs0pmmYLiVWx1zTL9K5w1I1ce6uHvll9x3iQlJUEQBISFhZVksUod1wNjn79/HShTnOCKxt3bt2+RnZ2Nzp07i51lQJoNvYiICLRv3x6AfJa+BQsWwNLSErq6upgxYwZevnyJnTt3YurUqZIekJgxhb+TZerq6opHjx6VcUnZp6Z8jQ8NDYW+vj6aNGkCDQ0NODk5FfnN586dC2NjYyxfvry0i1riZDIZXr9+japVq6pkhjx+/FgMlt26davYbdV5YGbFZDUK8+bNw6hRozBmzBgxK0YmkyEyMhKCIMDb2xuenp5wcXFBs2bNJPnarcKcOXNQo0YNHD58GBkZGejRoweqVauG5ORkAMDZs2cxcOBA9OzZE8OGDZPUeK5/JTc3F2fOnIGNjQ1q166NOnXqwN7e/k9nhFU3yp3hkJAQGBgYwMDAANra2kWugYmJiejbty8aN24sjvEJyF9TNTQ0lGyQjLNm5MpDPShf15Sz5v5q/eTkZLW8N34M1wNj6uFfB8oUzp8/Dy0tLTRt2hQNGjSAtbW1pE7i4m5Khw4dgoaGBnr37g1zc3P069cPK1euRHR0NARBwJ07d1TWl2Ljn7HCynOWKZNnEA0ePBiXL19GXl4eVqxYgTZt2mDAgAFFgmXr1q2TzHWxuFfkOnTogGXLlqms9/jxY/j4+ODLL78sMrmLOnd+unXrhq+++kr8+8OHDwgODoYgCOJM0MpOnz6NoKAgjBs3DkuWLJHcwyTla1xBQQE6d+4sDrWwZ88eVKtWTQyQKK6Zubm5Kt8hlbr4J65evYrr16+L9SeFOlA+r+/duwdra2tcuHABBw8exODBg2FhYYE1a9aobHP+/HnMmDFDvD7evn0btWvXFid+UDecNSPH9aBq0qRJCAwMxIsXL/5yXeW2QuHXkdUd1wNjn7f/HCgD5E8/wsLCsGDBAkk1epUbvC9fvkRWVhays7MBABs3bkTnzp2xZs0aPHz4EIC8I2Rvby++XsNYeVKes0zLuy1btsDCwgLt2rVTyS5asWIF2rZti4CAAJUxKxWkEiwD5B1ahcGDB6Nnz55FGrKPHj2CnZ0dfHx8Srt4Jeb+/fvIyckBIH91FJBnmH377bfQ0NBQmdnyY+NuSek4UJg5cybCw8NhbGyM5ORknDx5UmUSg6ysLISFhRUJIqt75+eflr+4+4HUjodFixbB398f48ePF5fdunULgYGBsLS0LBIsUygoKEBmZmaR19TVBWfNyHE9qEpMTET9+vVx4cKFv1xX+XpSeBZcdcf1wNjnrwJ9Ara2tmRrayv+nZ+fTxUqfJKvLjMASENDg4iI5s6dS8eOHaO0tDRq1qwZjRs3jgICAqhPnz6kpaVFBQUFlJWVRV999RXp6OiQpaVlGZeesdInCAIREY0cOZKcnZ3JycmJcnNzSUdHh3r27CmupzivmHQUFBSQkZER/frrr5SbmysuHz16NAmCQFu3bqVRo0bRmjVrqGbNmuLnmpqaZVHcTy4mJobCwsLI0NCQvvjiC6pSpQrJZDI6duwY2djYUOXKlalKlSpUp04dOnbsGOnq6pZ1kf+zU6dOUevWrcnc3JyIiJYsWUJxcXF08OBBql69Oo0fP54yMzNp5MiRVKlSJerXrx8Rye+tAMTrBZE0jgOZTCZe27Zt20Zr166lQ4cO0Y0bNygoKIjOnDlDy5Yto6FDhxIR0evXr+n06dPUqFEjCggIEL9HuV7UjXIdFP6NC/+toKGhUey66ky5HjIyMig1NZX27t1Lzs7O4jqNGjWisWPHEhHRokWLKCsrS/xbQUNDgypXrkympqalVvZPSVEHoaGhlJOTQ7Nnz6YvvvjiT9cvKCighg0bEpG8HgVBUOtzgojrQfn8XrhwIT19+pQ8PT3J3t7+b28XGxtL58+fp4iICDI0NCzxMpcErgfG1E+J9FjVPUhG9EdjdebMmfTdd9/RgAEDyN/fnzQ0NMjd3Z32799PWlpalJmZSXFxceTl5UVPnz6lo0ePkoaGBslksjLeA8bKhoODA124cIG6detGw4cPp6SkJKpQoQLl5+eXddFYCenfvz9NmjSJ6tWrR71796aUlBTxs1GjRlGXLl2obt26VL169TIs5adT+Pru7u5OZ86coVmzZpG7uztpaWnRqVOnaObMmVS/fn2ys7OjDh06UFxcHOnp6an9PWL16tXk6upKu3btopycHCIicnNzo4cPH9KAAQPoxYsXpKurS2FhYTR58mQaOHAgbdmyRezsSTFYrtinn376iU6dOkUTJ04kKysrcnBwoOTkZHJzcxODZO/fv6fhw4eTpqYm+fv7l2WxPxnlh4vLly+ngQMH0oIFCyghIYGI5G2q4gJgyp3AvXv3kkwmU/s2pKIesrOzSVdXlyZMmECTJk2iH3/8kVauXCmu16hRIwoMDCRbW1s6d+6c2gcIi3P58mWKj4+ngICAPw0OEcmPBUXQ/Pnz56ShoaG2waHCyms9KJ/fKSkplJmZSUuWLKGrV69SZmbm39ouNjaWgoKCqEuXLmobHOJ6YExNlWr+mhpQTm9NTU2Fra0ttm/fLi57+vQpJkyYAH19fSQlJeHdu3dYt24dpkyZIqnXThn7lPickC7la+auXbvQvn17uLq64smTJ8Wup+6v3iqXf+3atQgNDUVQUBAOHTokLj9z5gyqVauGxMREHDp0CGvXrsWECRMkdR6MGzcOlStXxvr165GRkQEAuHnzJoyNjeHu7i6OuZKRkYGvv/4agiDgyJEjZVnkEpeWlgYLCwtUrVoV8+fPByB/jTA4OBjNmzeHjY0N/Pz8YG9vj+bNm0tyEoN58+bB0NAQffv2hbm5OTw8PFRmcVS+Xij/OyYmBoIg4NSpU6Va3pISGxsLMzMzpKenA5C3J7/++mvo6uoiOjpaZd3ff//9o68lqxvl8i9YsADBwcEIDAz8R9vFxMRg8ODBePnyZYmUsTRwPajuy4QJE9C0aVO8fv0as2bNgoaGBtavX/+X2ylme921a1eJl7ekcD0wpr44UKZEuQP07NkzvHz5Ejo6OkUuTL///jvatm2LxYsXAwAyMzPFz6TU4GWMsb+jcLCsQ4cOcHd3F8dvLG49dRcaGopatWohODgYfn5+MDc3R1BQEGQyGZ4+fQpLS0skJiYW2U7d7xGK8cgAebBMT08PmzZtwvv37wEAv/76a5Fg2bt377By5UpJBQo/5tq1a6hfvz7atGkj/v75+fn44YcfEBISgnHjxmHx4sWSebBWOPA9evRonDx5EgBw6dIl+Pn5oV27diqzwBYeiDo6Ohr6+vqS6gTevn0blpaWsLOzE4NlT548QVhYGPT09BAbG1tkG3V/iKD8mz5+/BgzZ86EIAho27atGEz/q+1iYmJQsWJFtT4WuB5UXblyBV5eXjh37py4LCQkBBUrVlQJohe2cuVK6OvrS2a2V64HxtQPB8qKMXXqVAQEBCA9PR1eXl4YM2ZMkSc67du3x+jRo8uohIwx9nlRbuTv3r0bTZs2RVBQUBmWqOQcOnQIZmZmuHjxIgBg+/bt0NHREWc3BIDmzZtj3rx54t9SCBIq70NsbCxWrVoFQRBQs2ZNbNiwQXxodPPmTZiYmMDDw6PIwMPqHhj6O65duwYbGxsMHz4c165d++h66h40VQ7snDlzBklJSfD19cWNGzfE5YmJifDz84Ozs3OxnUFFpoQ6dwILB7gU58m9e/fQtGlT2NraqgTLZsyYAUEQEB8fX+plLSmcNSPH9aBqy5YtcHNzg7e3N3JycsQsWgAIDg6Gjo5Osef++vXrUbVqVbW+LijjemBMPXGgDKo3qOPHj8Pa2hoJCQkAgLlz58La2hqRkZF4+/YtAHkGmZOTE+bOnVsm5WWMsdJS+JWgP8t6UL6Wnjp1Su0DAR/z/fffw9nZGQCwY8cOVK1aVZzN8O3btzhz5gxcXFwwa9asMixlyZk5cyaqVauGuLg4rFixAn5+fqhUqRLWr1+vEizT1NRUmemvPElKSoKtrS1GjBihEjiSCuVzPSQkBAYGBjAwMIC2tjaWL1+usm5iYiL69u2Lxo0b4/jx4+LyyMhIGBoaSqYTqDy7s6J+7t69CysrK7Rq1UoMlj169AgxMTGSDBpz1owc14O8rTBt2jRYWFjA1NS02FfNJ06cCEEQcOLECZVtFyxYgH379pVqeUsK1wNj6osDZUrWr1+PcePGFRlHICgoCE2bNoWzszPGjh0LJycnWFlZSbKRwxhjxTl9+rT4778bLJOq9evXo3///jh48CB0dXXFIBkgz6ZbuHAh9u3bJ8l7xIsXL2BlZaWyzwDw1VdfoXLlyti4cSPevXsHAHjw4IFkg6V/R1JSEuzs7NCrVy/89ttvZV2cT0b5HL937x6sra1x4cIFHDx4EIMHD4aFhQXWrFmjss358+cxY8YM8Xi4ffs2ateujS1btpRq2UvK48ePoa2tjU6dOonLFPV05coVGBgYwNPTE0+fPlXZTkrXCM6akSuv9VBcu+DDhw9YtGgR6tWrh6FDh+LNmzcAVINEkZGRkjoPuB4Yk45yHSgr3KHr0aOHOI6A8jgsALB582YEBQWhW7duCA4OFi9m5bkTwBiTLuXG3tWrVyEIAr777rtiP1emfF29c+eOOHaVlNy6dQva2toQBAFr164Vl2dlZaFTp04YPHiwuExK9wiZTIb09HSYmpqKAY7c3FzxcwcHB5iamiImJgbZ2dnicinVwT918eJFDBkyRO3HnyrOokWL4O/vr5I1eOvWLQQGBsLS0rJIsEyhoKAAmZmZePDgQekUtAQU93uePn0aJiYm8PT0VFn+8uVLtG7dGoIgYNCgQaVUwtLFWTNy5bUelM+HGzduIDk5GTdv3gQgDwaHh4fD3t4egYGB4oOUwvcFKQSJuB4Yk5ZyGyhT7sxt3rwZGzZsAACMHTsW1atXR3R0dLGDbipf0PhixhiTIuXrY1RUFAIDA1GlShUIgoCFCxeKn31sbB5A/nTU1tYWjx49KvkCl4EdO3agUqVKmDx5Mk6ePIkTJ07A3d0dzZo1k/y9wdvbG46OjuLvn5eXh/z8fPj7+6N27dro0KFDGZfw8yLFGV/fv3+PkJAQVKlSBV5eXirrKYJlTZo0QVRUVGkXs8Qp18PRo0exe/duHDhwAIB8rLbCwbLs7GwMHToU165dk0zQmLNm5LgeVO/706ZNQ4MGDWBkZISaNWsiLCwMeXl5yMvLw9y5c+Ho6Ihx48aJdSIlXA+MSU+5DJQVjvi3aNECzZs3x969ewEAgwYNgqWlJTZs2ICsrKwi2zDGWHkQFhaGGjVqYMuWLVi7di0GDRoEXV1dlfEZC49hBsgHIzYwMJDMa1XFyc/PR1xcHIyNjWFsbIyWLVuiS5cuxWYQSIXitz516hRsbGzQq1cvlc/8/Pxw48YN8VgoD6/h/l1SqgtFu+jRo0eYNWsWBEHAihUrVNa5ffs2AgIC4O/vL6l9V96XqVOnwtjYGDY2NtDR0cGwYcOQnJyMM2fOwNTUFDY2Npg5cyacnZ1VAsvqfm3grBk5rgdV//d//4cvvvgCJ06cwMmTJ7FmzRpoa2tj2LBhAOQBxLlz58LCwgIRERFlXNqSw/XAmHSUy0CZwqRJk9CzZ0+0adMGhoaGMDc3F2eZGTBgABo3boxNmzaJgxMzxlh58ezZM9jZ2am8PvXkyRPMmTMHlSpVwuLFi8XlymOwSGnGrr/j+fPnuHPnDh4+fCh2oqXU+SlOTk4ONm7cCGtra5iZmcHf3x8tWrSApaWl2BHkh0vSFBsbCzMzM3Fg+tTUVHz99dfQ1dVFdHS0yrq///57sYF0KViwYAFq164tzny7bNkyCIKA3r174969e3jw4AF8fHzg5uaGHj16iNdIdT8vOGtGjutBtQ4KCgrQvXt3hIWFqaxz4sQJCIKAZcuWAZC/qr9+/Xq1DxYr43pgTLrKbaBs7dq1MDAwwOXLl/Hq1SukpaWhU6dOaNWqlThl96BBg1CtWjX8+OOPZVxaxhgrXS9fvkTNmjURHh6usjwlJQVt2rSBIAhYtGiRymeKIJm6Dkb8Kah7R/ivKDoFHz58wN27dzFx4kSMHDkS48eP57E7y4Hbt2/D0tISdnZ2YrDsyZMnCAsLg56eHmJjY4tsI7Vz4smTJxg0aJA4y+WuXbtQrVo1zJgxA/r6+vD19UVKSgoA1YcIUgqgc9aMXHmtB+VzWnEdaNKkCUJDQwHI7xOKY3/ChAlwdXUVs+oUpHCf4HpgTNrKbaAsLCwMbdu2RUFBgXihS0lJgb29PUxNTcVg2TfffKPS0GGMMakpriObl5eH4cOHo2fPnrh9+7bKZ+PGjYO7uzvq1KmDjRs3AgC2bdsGHR2dcpNJJkWFj4N/04CXUjCgvPvYGIT37t1D06ZNYWtrqxIsmzFjBgRBENtPUpWdnY3du3fj9evXSEhIgKmpKZYuXQoAiIiIgCAIaN++PR4/fixuo+4ZdZw1I8f1oHpdiIiIwOjRo5GSkoK5c+fCzMwMCQkJAP6oq+nTp6Njx45lUtaSxPXAmPRpUDkDgIiIKlasSDk5OfThwwfS0NCgvLw8MjY2pvnz59Pz588pIiKCDhw4QNOnTyctLS0qKCgo45IzxtinJ5PJSENDfiu4ffs23bhxg4iIKlSoQF5eXnTjxg1atWoV3bp1i4iI3r9/TykpKdSrVy9ycnKigwcPEhGRtbU17du3j3x9fctmR9h/pjgONm/eTEREmpqaJJPJPro+5A/biEh+HMlkMqpQoULJF5SVCsXxsG3bNiIiEgSBAJCFhQXt2bOHcnNzycvLi168eEFGRkY0YsQIio6OJh8fn7IsdonT0dGhzp07k4GBAR07doysrKxo0KBBRESkra1NAQEBpKOjQ0ZGRuI2giCUVXH/M5lMJpb/xYsXpKGhQXfu3KEPHz4Qkfw6kJeXRx06dKDx48fTnj176P3796StrU0DBw4kTU1NSbShuR7kFNeFKVOmUHh4OLVr144KCgrI09OTmjZtSjNmzKDExEQSBIEyMzPp0qVLZGJiUsal/vS4HhiTvnIXKFPc5Lp3705XrlyhBQsWEBGRlpYWERF9+PCBvLy8SEtLi5YsWUK5ublEJO8wMMaY1Cgae1OnTiVXV1fq2LEjtW7dmpKTk8nX15emTp1KR44coYCAAOrSpQu1b9+e7t+/TyNHjiRTU1O6e/cu5ebmUuPGjaljx45lvDfsv3r58iVNmDCBJk2aRER/HB8fo7inKh46MWlJSUmhgQMHkoeHBxH9ESyrX78+bdq0ie7du0cDBgygZ8+eUZ06dWjkyJFUoUIFys/PL+OSlyxFQPjOnTv09u1bEgSBcnJy6PDhw+Tj40OHDh0iDQ2NPw00qwPlBymLFy+mmTNn0pMnT6h///60c+dOMRCgqA9dXV3S0NCgqlWrqnyPurehuR5UHT9+nHbs2EF79uwhf39/qlu3Ltna2tLw4cNJW1ub2rdvT3Z2duTo6EipqakUGxtLRH8kK0gF1wNj0lZuW7XW1ta0evVqmjt3Lk2ePJkuX75Mv/32Gy1btoxsbW0pKiqKjh8/TmfOnCnrojLG2Cen/GT7hx9+oB07dlB0dDStX7+edHR0yN3dnRISEmjw4MEUHR1NgwcPpqpVq5K3tzddunSJiIhSU1OpSZMmZbUL7BMo3JGvWrUqzZw5k3799Vc6f/78R7cDIAbJVqxYQT169BAzK5j6Knw8mJiY0LFjx+jmzZvk5eVFRH8ER+vWrUsNGzakw4cP05QpU1S2k3pmoaIORo4cSRcvXiQnJydq1qwZPXz4kHr27Cmup+7BY86akeN6UPXo0SOqXLkyWVlZEdEf142uXbvSd999Rzt37qSuXbvSmDFj6MqVK6SlpUX5+flqnVlZHK4HxqRN2i2Zv6Do+I0ZM4a2bNlCAKhmzZoUEhJCz549o/r161PNmjXLupiMMfbJZGdnU6VKlcQn23FxcfTmzRsKCgqirl27EhFRx44dyd3dnXr27Em7du2iNm3aUJs2bWjcuHFEJG8cRkdH0969e+ns2bNUsWLFMtsf9t8oOoDr1q2jdu3akYWFBfXo0YM2bdpEcXFx5OjoWGQb5SBZTEwMff3117Rq1SrS1tYu1bKzT0s5a+bYsWP0/v17qlixInl7e9OWLVvI39+fvLy86NChQ0REVLlyZWratCmtWrVK7CiWNw4ODnThwgXavXs36enpUUhIiJhRJ5VgoXLWjJOTExHJg6TDhw+n77//ntq3b0+NGzem3NxcAkD79+8nItXrhBRwPfyxL9nZ2SoP2wRBoIKCAtLU1KTLly+Tra0teXp6ip8XFBRI5nwg4npgrNwo7UHRPkcpKSk4f/48Tp8+LQ7OOHXqVDRq1AhpaWllXDrGGPs0nJycsGnTJvHvjIwM1KlTB4IgYOLEiQD+GHi2oKAArq6uMDMzw+nTp8XlmZmZCAwMhLW1Na5cuVLq+8A+vWPHjkEQBJibm+P7779HSkoKkpKSoKmpWWRyBuXBrHmWU+lQ/l2nTp0KY2Nj2NjYQEdHB8OGDUNycjLOnDkDU1NT2NjYYObMmXB2doajo6PYbpLKYOX/ldQmtFizZg2srKzw+vVrAKqDmN+/fx+HDh3CnDlzsHLlSnHfpVYHANeDsps3b0JTUxOzZs1SWf7+/Xt07doVUVFRZVOwUsb1wJi0CQC/KK3s119/pQULFtDBgwfp2LFjZGNjU9ZFYoyxTyI2NpYGDRpEFStWpA8fPpC2tjalpqZSnz596MWLF7R//36ysLAQn5bKZDKysbGhhg0b0s6dO8Xvef36NeXm5tKXX35ZhnvD/i3lzCEFNzc3unz5MvXt25eePXtGHh4e9ObNGzp8+DCtWrWK6tevr7J+bGwshYaG0po1a1ReNWPqbeHChbRkyRKKj4+n1q1bU1RUFAUFBZGfnx/NmzePNDU1KTAwkHJyckhPT4+2bdtGWlpaxR5TTL0p7gMrVqygZcuW0fnz58nAwIAAkEwmI01NTdqxYwfZ2tqShYWFuJ0io0YquB6KFxsbS4GBgTR69Gjq3LkzaWtr07x58+jp06d0+fLlcpM5xfXAmHRxoExJfn4+/fLLL7R582YaMmRIuX2VgDEmLb/88gtZW1uLf3/77bekoaFBgYGBpKenR2lpaeTu7k46Ojq0a9cuqlevntg5UO4MEBUfZGHq6fr161SjRg2qXbs2JSYm0qJFi8jBwYFMTEwoODiYqlSpQpmZmTR58mQaO3as+Ltv3LiRBg0aRDt37uRZTiUkNTWVvv76a/Ly8qI+ffrQ7t27afjw4RQYGEiRkZHk5uZGkZGRZGxsTHl5eeIkSFJ6zZAVdevWLbK2tqbp06fT7NmzxeUZGRnUv39/6tSpE40dO7bsClhKuB5UAaC9e/dSUFAQFRQUkIGBARkbG9P+/ftJS0tL8oFCBa4HxqSLA2XFUG4AMsaYOgsODqZz587RokWLyNnZmYiIvv76awoPD6fvvvuOhgwZohIsq1SpEu3atYvq1q2r8j3c2JMOAHT27Fnq1KkT9e/fn3r16kWenp4UHBxM+vr6NHv2bEpLS6MZM2bQunXrqGvXrrR7924iIsrNzaUNGzaQkZER+fj4lPGesE8pJyeHDh06RB06dKB79+6Rn58fBQcHU1BQEC1evJgmTZpELi4utHHjRnGgckho/CX2cZw1I8f1UNSLFy/o7du3JJPJyMLCgjQ0NMpl8JzrgTHp4UAZY4xJ2K+//kr9+vUjExMTmjRpEnXo0IGIiObNm0fTp0+nxYsX09ChQ8VgmaenJ71+/ZoSEhKoVq1aZVx69qkUF9CIi4ujkydP0t69e2ny5MnUoEEDGjVqFMXGxlLnzp0pMzOTrl69Sg4ODipBUn6YJF2K3zY8PJzOnj1LmzdvJn19fYqKiqJLly5Reno6HThwgLNKyxnOmpHjevhrnHUux/XAmPrjQBljjElUbm4uVaxYkX777Tfq3r07WVhYUGBgILm5uRGR/BXMmTNnqgTLUlJSaNq0abRu3bpy3+CXCuUG+7NnzygrK4vMzMyIiOjdu3d04MABGjt2LPXq1YsSExMJAO3YsUNlXDLuAJYPioDq0KFD6e7du3TgwAHS1tYmPz8/CggIoD59+hARdwLLK86akeN6YIwx6eMrOmOMSZBMJqOKFSsSEdHLly+pS5cutHjxYsrMzCQtLS1ydnam6dOnExHRpEmTSBAEGjx4MJmYmNDGjRuJiIMjUgBADGjMmjWL4uPj6fnz51SzZk0KDQ0lb29v8vf3JwcHB1q4cCFpaWlRQkICnTlzRiVQxsdB+aDIOhw5ciQ5OzuTk5MT5ebmko6OjsqkDRwkK5+qV69O1atXF/+WyWTlMjjE9cAYY9LHGWWMMSZhU6ZMoY0bN9KoUaPoxYsXtGnTJrKxsaGZM2dS+/btiYho/vz5FBYWRlu2bBEzRpj6U37dct68ebR48WJaunQp1apVi9asWUO//PIL9e/fn0aOHEmGhoaUkZFBN2/epG3bttGCBQu441fOJSUl0e7du0lPT49CQkKoQoUKnDXDGGOMsXKBA2WMMSYRWVlZVLlyZTFAcv36dfLw8KANGzaQu7s7ERHdvn2bvL29qU6dOjRnzhxycXEhIqINGzZQv379uBMsAQ8ePBBfrSwoKKD379+Tl5cXDRgwgMaMGSOuN3nyZNqzZw+tWbOG2rVrV+R7OCjClPHxwBhjjLHygnPnGWNMAkJDQ+l///sfvX37VswiqlixImlpaVHlypWJSD5Qd6NGjWjfvn2UkJBAS5cupQMHDhAR0cCBA8WMEaa+hgwZQuPHj6ekpCQikr8yKQgCZWRkiK/L5ebmEhHRwoULqXr16rR8+fJiv4uDIkwZHw+MMcYYKy84UMYYYxLw6tUrOnnyJEVFRdHbt2+JiKhSpUqUnZ1Nly5dIiL5uEIFBQVkYWFBDRo0oL1799Lp06dVvoc7w+rLycmJfvzxR0pLS6OlS5dSYmIiERHp6+tTzZo1adu2bUQkD6B++PCBiIhatGjBvzljjDHGGGNKOFDGGGNqTPH2/Pfff0/t2rWjPXv20LJly+jVq1dUt25dmjZtGk2ePJm2bdtGmpqa4qDsrVu3psOHD9O8efPKsvjsE5k9ezZlZmZSWloaffvtt/TgwQOKjo6mixcvEhFRREQE/frrr9SvXz8i+mNw/mvXrtEXX3xRZuVmjDHGGGPsc8OPkRljTI0JgiDOThkREUEhISEUHx9PAGj8+PEUGBhIqamp5O/vTydPnqSaNWvSmTNn6PXr1xQTEyNmmfGshurt/fv34iu3165do9zcXLpx4wYtX76ctLW1qUWLFrRq1SoaOXIkWVlZUb169ej169f09u1bioiIKOPSM8YYY4wx9vngwfwZY0xNyWQycdwpZePHj6ezZ8+Sr68vTZgwgapUqUJxcXEUHR1N2traVK1aNYqLiyMtLa2PfgdTD4qJG86ePUsjR44kTU1NSklJoQcPHtCxY8dowYIF1KhRI5o8eTJZW1tTamqqGBjT1dWlGTNm8GyGjDHGGGOMKeFAGWOMqSHlANedO3eoYsWKlJ+fTxYWFkREFBwcTD/99BP17NmTxo4dSwYGBuKsmAocHJEWT09POnLkCHl4eNChQ4eIiCguLo4WL15MjRs3pgkTJlDLli2LbMcZhYwxxhhjjP2B0wgYY0zNABCDZGFhYeTr60v29vbk4eFBc+bMISKi7777jpydnSk+Pp6WL19OL1++VAmSAeAgmYS8evWKtLS06H//+x89evSI/P39iYioX79+FBISQsnJyRQVFUU///xzkW05SMYYY4wxxtgfuJfEGGNqRjEWVXh4OEVHR1NcXBzl5ubS/fv3adq0afTy5UtaunQpLVmyhEJCQig2NpZMTExo0KBBRb6DSYOhoSHFx8eThoYGGRsb0//93/9Rv379KC4ujvr160eCINC0adPI3Nyc2rRpU9bFZYwxxhhj7LPFgTLGGFNDubm5dO7cOZoyZQp5eHiIy83MzKhnz55kZWVFI0eOpMWLF5OZmRkFBASUYWlZaVBkhvXp04cEQaCFCxdS//79afPmzeTv70/Vq1cnV1fXMi4lY4wxxhhjnzceo4wxxtRQRkYGWVtbU//+/enbb78loj/GLRs2bBhlZGTQunXrqFKlSuI2PBZV+ZGZmUk7duygRYsWkYmJCf3444/iZ3wcMMYYY4wx9nE8RhljjH3mZDJZkWW6urrUu3dvOnr0KF25coWISBy3TE9Pj969e6cSJCPisajKkypVqpCfnx+NHj2aDA0NVY4hPg4YY4wxxhj7OA6UMcbYZ04RAPvll1/o4sWL4nIPDw/S1tamyMhIMVj2/v17unHjBpmampZFUdlnpEqVKjRs2DDavHkzaWhoFBtwZYwxxhhjjKniMcoYY+wzFBwcTL169SInJyciIgoNDaVNmzZRdnY21atXj6KiosjV1ZVev35NUVFR5O3tTfXr16fMzEzKy8ujgwcPEpF8dkseuL/80tHRISLVmVIZY4wxxhhjH8djlDHG2GemoKCAjIyMqFatWrR27Vp68uQJTZkyhRYvXky1a9em4OBgevz4MUVGRpK3tzclJyfT5cuX6cqVK1SnTh0aM2YMVahQgfLz86lCBX4ewhhjjDHGGGN/FwfKGGPsM6IYkD8vL4/s7OyoYsWK1Lt3b5LJZBQaGiqu5+XlRXfv3qWlS5eSu7s7aWtrq3wPD9jOGGOMMcYYY/8cv4fBGGOfEQ0NDcrPzyctLS1KSEignJwcCg0Npbt376qsd+jQIWrYsCFNmjSJ4uPjKS8vT+VzDpIxxhhjjDHG2D/HGWWMMfYZUrw2mZ+fT+3ataPU1FTaunUr2dvbq4w1ZWdnRxYWFrR169YyLC1jjDHGGGOMSQMHyhhj7DOlCJbl5eVRy5YtCQCtWbOGWrVqpTJAv+J1TcYYY4wxxhhj/w33rBhj7DOlyCjT0tKiy5cvExHRsGHD6PLly6T8jENDQ4NkMllZFZMxxhhjjDHGJIMDZYwx9hlTDpYlJSWRhoYG+fj4UHJyssp6nFHGGGOMMcYYY/8d96wYY6yM/N0335WDZQkJCeTh4UENGjQo4dIxxhhjjDHGWPnDY5QxxlgZACCOM/bmzRsyMDD4y20UY5Yp5OXlkZaWVkkVkTHGGGOMMcbKHc4oY4yxUiaTycQg2fLlyyksLIzu3bv3l9tpamqq/M1BMsYYY4wxxhj7tDhQxhhjpUh5hsqbN2/S6dOnacuWLRQTE0MPHz786HbKGWgrV66kCRMmlEZxGWOMMcYYY6xc4UAZY4yVIkWQLCQkhHr16kX6+vpkZ2dHERERtGTJEnrw4EGRbZSDZDExMTR16lRq27ZtqZabMcYYY4wxxsqDCn+9CmOMsU/pyJEjtG7dOjp69Ci1bNmSiIiio6Np2rRpJJPJKDg4mExNTYmIqKCgQHzlMiYmhqZMmUJr1qyhnj17llXxGWOMMcYYY0yyOFDGGGMlTPl1SyL5IPz6+vpUvXp18bNRo0ZRXl4ejR8/nnR0dOirr74ic3NzMUgWGxtLkydP5iAZY4wxxhhjjJUgfvWSMcZKmCJI9vjxY3FZeno6vX37ljQ0NCg7O5uIiPz9/almzZq0adMm2rBhA+Xk5BCRPEg2duxYWrt2LQfJGGOMMcYYY6wEcaCMMcZKQVxcHDk4OBARkY+PD7m6ulKXLl3o+fPnVKlSJSIiys3NpZ49e9KYMWNo7ty5dO3aNSKSB9i2b99Ovr6+ZVZ+xhhjjDHGGCsPBAAo60IwxpjUpaenk6OjI40bN47Gjx9PN2/epDFjxtCtW7do0aJFpKWlRWvXriUiosOHD1P9+vWpf//+9L///Y8yMzOpSpUqZbwHjDHGGGOMMSZ9nFHGGGOfWOHnDwUFBaSrq0uurq509uxZIiJq3Lgxbdiwgbp3704zZsygWbNmUX5+Pu3bt4+IiKpWrUp169YlIuIgGWOMMcYYY4yVEs4oY4yxEpKSkkImJibi3wkJCeTo6EgbNmygfv36icufPHlCVapUIQMDAyIimj59Om3atIlOnjxJZmZmpV1sxhhjjDHGGCu3OKOMMcZKwOrVq8nX15cmTZpE79+/p5ycHLKzs6PAwECKi4ujZ8+ekUwmIyIiIyMjMjAwoOvXr9Po0aMpJiaG9uzZw0EyxhhjjDHGGCtlHChjjLFPQBH0UrC3t6devXpRfHw8OTk50axZsyglJYW6dOlCd+7coSdPnpCGhgbJZDISBIGIiKpVq0YuLi50/vx5atGiRVnsBmOMMcYYY4yVa/zqJWOM/UcymYw0NOTPHY4ePUrv378nAwMDcnV1pby8PAoPD6fTp09TQkICzZkzh2bNmkW2trZ05MgR0tTUVPkuAGLgjDHGGGOMMcZY6apQ1gVgjDF1BkAMkk2bNo02btxINWrUoNu3b1OvXr1o4cKFNGPGDPrw4QNFR0fT/v37KSsriz58+CBup4yDZIwxxhhjjDFWdjijjDHGPoGFCxfSkiVLKD4+nlq3bk1RUVEUFBRE3bt3p4ULF1L9+vWJiOjRo0f04MEDatu2LWlqaqpkozHGGGOMMcYYK1vcO2OMsf8oNTWVbt68Sd999x21bt2adu/eTTNnzqTp06fTyZMnaerUqXTz5k0iIqpbty65uLiQpqYmFRQUcJCMMcYYY4wxxj4j/OolY4z9R4aGhtStWzfq0KEDJSYm0sSJE2n27NkUFBREBgYGNGnSJHr9+jWtW7eO6tSpI25XeHwyxhhjjDHGGGNli1MZGGPsP9LR0aHOnTuTgYEBHTt2jKysrGjQoEFERKStrU0BAQGkra1NxsbGZVxSxhhjjDHGGGN/hgNljDH2CVSoIE/QvXPnDr19+5YEQaCcnBw6fPgw+fj40KFDh0hDQ4NkMlkZl5QxxhhjjDHG2MfwYP6MMfYJXbhwgZydncnS0pJyc3NJR0eHkpKSxEAaY4wxxhhjjLHPFwfKGGPsE0tKSqLdu3eTnp4ehYSEUIUKFSg/P5+DZYwxxhhjjDH2meNAGWOMlTAOkjHGGGOMMcaYeuBAGWOMMcYYY4wxxhhjxIP5M8YYY4wxxhhjjDFGRBwoY4wxxhhjjDHGGGOMiDhQxhhjjDHGGGOMMcYYEXGgjDHGGGOMMcYYY4wxIuJAGWOMMcYYY4wxxhhjRMSBMsYYY4wxxhhjjDHGiIgDZYwxxhhjjDHGGGOMEREHyhhjjDHGGGOMMcYYIyIOlDHGGGOMMcYYY4wxRkQcKGOMMcYYY4wxxhhjjIg4UMYYY4wxxhhjjDHGGBER/T+Z+DPdpxh+dwAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 1400x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "#heatmap\n",
-    "def robust_zscore_col(s):\n",
-    "    med = np.nanmedian(s)\n",
-    "    mad = np.nanmedian(np.abs(s - med))\n",
-    "    if mad == 0 or np.isnan(mad):\n",
-    "        return np.zeros(len(s))\n",
-    "    return (s - med) / (1.4826 * mad)\n",
-    "\n",
-    "for k in [5]:\n",
-    "    prof = dfc.groupby(f\"cluster_k{k}\")[profile_vars].median()\n",
-    "    prof_z = prof.copy()\n",
-    "\n",
-    "    for c in prof.columns:\n",
-    "        # prof_z[c] = robust_zscore_col(prof[c].values)\n",
-    "        prof_z[c] = (prof[c] - prof[c].mean()) / (prof[c].std() + 1e-12)\n",
-    "        prof_z[c] = prof_z[c].fillna(0)\n",
-    "\n",
-    "    plt.figure(figsize=(14, 4))\n",
-    "    sns.heatmap(prof_z, cmap=\"RdBu_r\", center=0)\n",
-    "    plt.xticks(rotation=45, ha='right')  # incline les noms à 45°, alignés à droite\n",
-    "    plt.title(f\"Cluster signatures — K={k}\")\n",
-    "    plt.ylabel(\"Clusters\")\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 318,
-   "id": "72393182-7c5b-4484-b0e0-770bff771d4c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x700 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "from sklearn.metrics import pairwise_distances\n",
-    "\n",
-    "def plot_distance_matrix_sorted(X_scaled, labels, max_points=400, title=\"Distance matrix\"):\n",
-    "    \"\"\"\n",
-    "    Trace la matrice de distance triée par cluster avec des lignes séparatrices.\n",
-    "    \n",
-    "    Parameters\n",
-    "    ----------\n",
-    "    X_scaled : np.array ou pd.DataFrame\n",
-    "        Les données numériques standardisées (n_samples x n_features)\n",
-    "    labels : array-like\n",
-    "        Les labels de cluster pour chaque point\n",
-    "    max_points : int, optional\n",
-    "        Nombre maximum de points à afficher pour éviter des matrices trop grandes\n",
-    "    title : str, optional\n",
-    "        Titre de la figure\n",
-    "    \"\"\"\n",
-    "    n = X_scaled.shape[0]\n",
-    "    idx = np.arange(n)\n",
-    "\n",
-    "    # Sous-échantillonnage si nécessaire\n",
-    "    if n > max_points:\n",
-    "        rng = np.random.default_rng(42)\n",
-    "        idx = rng.choice(idx, size=max_points, replace=False)\n",
-    "\n",
-    "    X_sub = X_scaled[idx]\n",
-    "    labels_sub = np.asarray(labels)[idx]\n",
-    "\n",
-    "    # Tri par cluster\n",
-    "    order = np.lexsort((np.arange(len(labels_sub)), labels_sub))\n",
-    "    X_sub = X_sub[order]\n",
-    "    labels_sub = labels_sub[order]\n",
-    "\n",
-    "    # Matrice de distances\n",
-    "    D = pairwise_distances(X_sub)\n",
-    "\n",
-    "    # Figure\n",
-    "    plt.figure(figsize=(8, 7))\n",
-    "    sns.heatmap(D, cmap=\"viridis\")\n",
-    "    \n",
-    "    # Lignes séparatrices entre clusters\n",
-    "    unique_labels, counts = np.unique(labels_sub, return_counts=True)\n",
-    "    boundaries = np.cumsum(counts)\n",
-    "    for b in boundaries[:-1]:  # on ignore la dernière limite\n",
-    "        plt.axhline(b, color='red', linewidth=2)\n",
-    "        plt.axvline(b, color='red', linewidth=2)\n",
-    "\n",
-    "    plt.title(title)\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()\n",
-    "\n",
-    "for k in [5]:\n",
-    "    plot_distance_matrix_sorted(\n",
-    "        X_scaled,\n",
-    "        dfc[f\"cluster_k{k}\"].values,\n",
-    "        title=f\"Distance matrix — K={k}\"\n",
-    "    )\n",
-    "\n",
-    "# Cluster 0 très distant des autres"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 319,
-   "id": "a5f006c5-55a8-475f-b58d-fc26886c0aba",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "churn_hard       0.361386\n",
-      "churn_soft       0.603960\n",
-      "churn_warning    0.344059\n",
-      "dtype: float64\n",
-      "\n",
-      "===== CHURN PAR CLUSTER K=2 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>churn_hard_rate</th>\n",
-       "      <th>churn_soft_rate</th>\n",
-       "      <th>churn_warning_rate</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k2</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>327</td>\n",
-       "      <td>0.409786</td>\n",
-       "      <td>0.642202</td>\n",
-       "      <td>0.336391</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>77</td>\n",
-       "      <td>0.155844</td>\n",
-       "      <td>0.441558</td>\n",
-       "      <td>0.376623</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            n_clients  churn_hard_rate  churn_soft_rate  churn_warning_rate\n",
-       "cluster_k2                                                                 \n",
-       "0                 327         0.409786         0.642202            0.336391\n",
-       "1                  77         0.155844         0.441558            0.376623"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "===== CHURN PAR CLUSTER K=5 =====\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>n_clients</th>\n",
-       "      <th>churn_hard_rate</th>\n",
-       "      <th>churn_soft_rate</th>\n",
-       "      <th>churn_warning_rate</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>cluster_k5</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>168</td>\n",
-       "      <td>0.541667</td>\n",
-       "      <td>0.797619</td>\n",
-       "      <td>0.416667</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>111</td>\n",
-       "      <td>0.396396</td>\n",
-       "      <td>0.648649</td>\n",
-       "      <td>0.306306</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>90</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.166667</td>\n",
-       "      <td>0.211111</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30</td>\n",
-       "      <td>0.233333</td>\n",
-       "      <td>0.600000</td>\n",
-       "      <td>0.433333</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>5</td>\n",
-       "      <td>0.800000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.600000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            n_clients  churn_hard_rate  churn_soft_rate  churn_warning_rate\n",
-       "cluster_k5                                                                 \n",
-       "1                 168         0.541667         0.797619            0.416667\n",
-       "3                 111         0.396396         0.648649            0.306306\n",
-       "4                  90         0.000000         0.166667            0.211111\n",
-       "0                  30         0.233333         0.600000            0.433333\n",
-       "2                   5         0.800000         1.000000            0.600000"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Analyse churn\n",
-    "\n",
-    "dfc[\"churn_hard\"] = (dfc[\"aum_final_to_peak\"] < 0.10).astype(int)\n",
-    "\n",
-    "dfc[\"churn_soft\"] = (\n",
-    "    (dfc[\"aum_final_to_peak\"] < 0.40) &\n",
-    "    (dfc[\"aum_drawdown_last\"] > 0.40)\n",
-    ").astype(int)\n",
-    "\n",
-    "dfc[\"churn_warning\"] = (\n",
-    "    (dfc[\"flow_direction_balance\"] < 0) &\n",
-    "    (dfc[\"aum_drawdown_last\"] > 0.20)\n",
-    ").astype(int)\n",
-    "\n",
-    "print(dfc[[\"churn_hard\", \"churn_soft\", \"churn_warning\"]].mean())\n",
-    "\n",
-    "for k in [2, 5]:\n",
-    "    out = (\n",
-    "        dfc.groupby(f\"cluster_k{k}\")\n",
-    "        .agg(\n",
-    "            n_clients=(ID_COL, \"count\"),\n",
-    "            churn_hard_rate=(\"churn_hard\", \"mean\"),\n",
-    "            churn_soft_rate=(\"churn_soft\", \"mean\"),\n",
-    "            churn_warning_rate=(\"churn_warning\", \"mean\")\n",
-    "        )\n",
-    "        .sort_values(\"n_clients\", ascending=False)\n",
-    "    )\n",
-    "    print(f\"\\n===== CHURN PAR CLUSTER K={k} =====\")\n",
-    "    display(out)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 320,
-   "id": "b8b4940e-4ab5-4123-a59a-e99d5f1fc5b6",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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oyjIyMpSenu7sMnCbcHNzk6ura770RbAAAAAoAgzDUGJios6ePevsUnCbKV26tPz9/U0/441gAQAAUARcDxUVKlSQl5cXD/qFaYZh6NKlSzp16pQkqWLFiqb6I1gAAAAUchkZGbZQcccddzi7HNxGPD09JUmnTp1ShQoVTA2LYvI2AABAIXd9ToWXl5eTK8Ht6Pp5ZXbujlODxbfffqsOHTqoUqVKslgsWrFixQ23iYuL09133y2r1aoaNWpo0aJFDq8TAACgMGD4Exwhv84rpwaLixcvKiQkRLNnz87T+sePH1f79u3Vtm1b7d27V4MGDVKfPn20du1aB1cKAAAAIDdODRaPPPKIJkyYoCeeeCJP68fExKhq1aqaOnWqgoKCFBERoaeeekpvv/22gysFAABAfoqPj5fFYtHevXudXUoWixYtUunSpQtsf2PHjlXDhg0LbH+OUqQmb2/btk1hYWF2be3atdOgQYNy3CY1NVWpqam29ykpKY4qDwAAoEAFjlhZoPuLn9y+QPeHoqVIBYvExET5+fnZtfn5+SklJUWXL1+2zWr/q+joaI0bN66gSgQA/NVYXwf3f86x/QMoctLS0uTu7u7sMrKVnp4uNzc3Z5fhMLf9XaGioqJ07tw52+vkyZPOLgkAAKDYyMzM1JQpU1SjRg1ZrVZVqVJFEydOtC0/duyY2rZtKy8vL4WEhGjbtm22ZdkNEZo+fboCAwNt73v27KmOHTtq4sSJqlSpkmrXrm0bZrV8+fIc+86LtWvXKigoSCVLltTDDz+sP/74w7Zs586devDBB1WuXDn5+vqqdevW2rNnj932FotFc+fO1WOPPSZvb2/bcU+ePFl+fn4qVaqUevfurStXrtxUXYVVkQoW/v7+SkpKsmtLSkqSj49PtlcrJMlqtcrHx8fuBQAAgIIRFRWlyZMna9SoUTpw4ICWLl1qNwJl5MiRGjp0qPbu3atatWrpmWee0dWrV29qH7GxsTp8+LDWr1+vb775Jl/6vnTpkt566y19+OGH+vbbb5WQkKChQ4falp8/f17h4eHasmWLtm/frpo1a+rRRx/V+fPn7foZO3asnnjiCe3bt0/PPfecPvnkE40dO1aTJk3Srl27VLFiRc2ZM+emjrewKlJDoZo1a6ZVq1bZta1fv17NmjVzUkUAAADIyfnz5zVjxgzNmjVL4eHhkqTq1aurZcuWio+PlyQNHTpU7dtfm7sxbtw41atXT0eOHFGdOnXyvB9vb2/Nnz/fNgQqP/pOT09XTEyMqlevLkmKiIjQ+PHjbcvvv/9+u/XnzZun0qVLa/PmzfrHP/5ha//nP/+pXr162d537dpVvXv3Vu/evSVJEyZM0IYNG26LqxZOvWJx4cIF7d2713Y3gOPHj2vv3r1KSEiQdC3h9ujRw7Z+v379dOzYMQ0bNkyHDh3SnDlz9Mknn2jw4MHOKB8AAAC5OHjwoFJTU/XAAw/kuE6DBg1sf1esWFHStadA34zg4OBs51WY6dvLy8sWKq5v/9dtk5KS1LdvX9WsWVO+vr7y8fHRhQsXbN9jrwsNDbV7f/DgQTVt2tSu7Xb5kdypVyx27dqltm3b2t5HRkZKksLDw7Vo0SL98ccfdv84VatW1cqVKzV48GDNmDFDd955p+bPn6927doVeO0AAADIXU5D1f/qr5OZrz+oLTMzU5Lk4uIiwzDs1s/u6dDe3t433ffN1HV9+7/WEh4erj///FMzZszQXXfdJavVqmbNmiktLS1Ptd2OnBos2rRpk+Vk+avsnqrdpk0b/fDDDw6sCgAAAPmhZs2a8vT0VGxsrPr06XPT25cvX16JiYkyDMMWDArLcy++++47zZkzR48++qgk6eTJkzp9+vQNtwsKCtL3339vNypn+/btDquzIBWpORYAAAAoOjw8PDR8+HANGzZM7u7uatGihZKTk7V///5ch0dd16ZNGyUnJ2vKlCl66qmntGbNGq1evbpQ3IynZs2a+vDDDxUaGqqUlBS98sorebpCM3DgQPXs2VOhoaFq0aKFlixZov3796tatWoFULVjFam7QgEAAKBoGTVqlIYMGaLRo0crKChIXbp0yfM8h6CgIM2ZM0ezZ89WSEiIduzYYXdnJmdasGCB/vvf/+ruu+9W9+7d9fLLL6tChQo33K5Lly4aNWqUhg0bpsaNG+vEiRN68cUXC6Bix7MYuY1Fug2lpKTI19dX586dKxRpFwBuazwgD8gXV65c0fHjx1W1alV5eHg4uxzcZnI7v27muzNXLAAAAACYRrAAAABAsfLII4+oZMmS2b4mTZrk7PKKLCZvAwAAoFiZP3++Ll++nO2ysmXLFnA1tw+CBQAAAIqVypUrO7uE2xJDoQAAAACYRrAAAAAAYBrBAgAAAIBpBAsAAAAAphEsAAAAAJhGsAAAAECBi4+Pl8Vi0d69e51dSr4zDEPPP/+8ypYte9seY3a43SwAAEBRNda3gPd3rmD3V0StWbNGixYtUlxcnKpVq6Zy5crJYrHoiy++UMeOHZ1dnsMQLAAAAHDbSEtLk7u7u1NrOHr0qCpWrKjmzZs7tY6CxlAoAAAAOExmZqamTJmiGjVqyGq1qkqVKpo4caJt+bFjx9S2bVt5eXkpJCRE27Ztsy0bO3asGjZsaNff9OnTFRgYaHvfs2dPdezYURMnTlSlSpVUu3Zt2zCr5cuX59h3bk6cOKEOHTqoTJky8vb2Vr169bRq1Srb8s2bN6tJkyayWq2qWLGiRowYoatXr9rqeemll5SQkCCLxaLAwEBbvU888YSt7XbEFQsAAAA4TFRUlN577z29/fbbatmypf744w8dOnTItnzkyJF66623VLNmTY0cOVLPPPOMjhw5ohIl8v41NTY2Vj4+Plq/fr1d+632PWDAAKWlpenbb7+Vt7e3Dhw4oJIlS0qSfvvtNz366KPq2bOnPvjgAx06dEh9+/aVh4eHxo4dqxkzZqh69eqaN2+edu7cKVdXV0lShQoV9P777+vhhx+2td1uCBYAAABwiPPnz2vGjBmaNWuWwsPDJUnVq1dXy5YtFR8fL0kaOnSo2rdvL0kaN26c6tWrpyNHjqhOnTp53o+3t7fmz59vGwJltu+EhAR16tRJwcHBkqRq1arZls2ZM0cBAQGaNWuWLBaL6tSpo99//13Dhw/X6NGj5evrq1KlSsnV1VX+/v52/ZYuXTpL2+2EoVAAAABwiIMHDyo1NVUPPPBAjus0aNDA9nfFihUlSadOnbqp/QQHB2c7r+JW+3755Zc1YcIEtWjRQmPGjNFPP/1kW3bw4EE1a9ZMFovF1taiRQtduHBB//nPf26q7tsNwQIAAAAO4enpecN13NzcbH9f/7KemZkpSXJxcZFhGHbrp6enZ+nD29v7pvvOTZ8+fXTs2DF1795d+/btU2hoqGbOnHnD7Yo7ggUAAAAcombNmvL09FRsbOwtbV++fHklJibahYuCeiZEQECA+vXrp+XLl2vIkCF67733JElBQUHatm2bXU3fffedSpUqpTvvvDPH/tzc3JSRkeHwup2JYAEAAACH8PDw0PDhwzVs2DB98MEHOnr0qLZv364FCxbkafs2bdooOTlZU6ZM0dGjRzV79mytXr3awVVLgwYN0tq1a3X8+HHt2bNHmzZtUlBQkCSpf//+OnnypF566SUdOnRIX375pcaMGaPIyEi5uOT81TowMFCxsbFKTEzUf//7X4cfgzMQLAAAAOAwo0aN0pAhQzR69GgFBQWpS5cueZ5DERQUpDlz5mj27NkKCQnRjh07NHToUAdXLGVkZGjAgAEKCgrSww8/rFq1amnOnDmSpMqVK2vVqlXasWOHQkJC1K9fP/Xu3VuvvfZarn1OnTpV69evV0BAgBo1auTwY3AGi/H3gWu3uZSUFPn6+urcuXPy8fFxdjkAcHtz9FOBeQowiokrV67o+PHjqlq1qjw8PJxdDm4zuZ1fN/PdmSsWAAAAAEwjWAAAAKBYeeSRR1SyZMlsX5MmTXJ2eUUWD8gDAABAsTJ//nxdvnw522Vly5Yt4GpuHwQLAAAAFCuVK1d2dgm3JYZCAQAAADCNYAEAAADANIIFAAAAANMIFgAAAABMI1gAAAAAMI1gAQAAgAIXHx8vi8WivXv3OruUQquofUbcbhYAAKCICl4cXKD72xe+r0D3V9wFBATojz/+ULly5ZxdSp5wxQIAAAC3jbS0NGeXcEMZGRnKzMy84Xqurq7y9/dXiRJF41oAwQIAAAAOk5mZqSlTpqhGjRqyWq2qUqWKJk6caFt+7NgxtW3bVl5eXgoJCdG2bdtsy8aOHauGDRva9Td9+nQFBgba3vfs2VMdO3bUxIkTValSJdWuXds2hGj58uU59p0TwzBUvnx5ffbZZ7a2hg0bqmLFirb3W7ZskdVq1aVLlyRJ06ZNU3BwsLy9vRUQEKD+/fvrwoULtvUXLVqk0qVL66uvvlLdunVltVqVkJCgwMBATZo0Sc8995xKlSqlKlWqaN68ebbt/j4UKi4uThaLRbGxsQoNDZWXl5eaN2+uw4cP2x3DhAkTVKFCBZUqVUp9+vTRiBEjsnyOjkCwAAAAgMNERUVp8uTJGjVqlA4cOKClS5fKz8/PtnzkyJEaOnSo9u7dq1q1aumZZ57R1atXb2ofsbGxOnz4sNavX69vvvnGVN8Wi0X33Xef4uLiJEn//e9/dfDgQV2+fFmHDh2SJG3evFn33HOPvLy8JEkuLi565513tH//fi1evFgbN27UsGHD7Pq9dOmS3njjDc2fP1/79+9XhQoVJElTp05VaGiofvjhB/Xv318vvvhilqDwdyNHjtTUqVO1a9culShRQs8995xt2ZIlSzRx4kS98cYb2r17t6pUqaK5c+fm7YM0qWhcVwEAAECRc/78ec2YMUOzZs1SeHi4JKl69epq2bKl4uPjJUlDhw5V+/btJUnjxo1TvXr1dOTIEdWpUyfP+/H29tb8+fPl7u4uSab7btOmjd59911J0rfffqtGjRrJ399fcXFxqlOnjuLi4tS6dWvb+oMGDbL9HRgYqAkTJqhfv36aM2eOrT09PV1z5sxRSEiI3b4effRR9e/fX5I0fPhwvf3229q0aZNq166dY30TJ0607X/EiBFq3769rly5Ig8PD82cOVO9e/dWr169JEmjR4/WunXr7K6gOApXLAAAAOAQBw8eVGpqqh544IEc12nQoIHt7+vDjU6dOnVT+wkODraFivzou3Xr1jpw4ICSk5O1efNmtWnTRm3atFFcXJzS09O1detWtWnTxrb+hg0b9MADD6hy5coqVaqUunfvrj///NM2VEqS3N3d7erJrkaLxSJ/f/8b1pjbcR0+fFhNmjSxW//v7x2FYAEAAACH8PT0vOE6bm5utr8tFosk2SY2u7i4yDAMu/XT09Oz9OHt7X3TfecmODhYZcuW1ebNm+2CxebNm7Vz506lp6erefPmkq5dHfnHP/6hBg0a6PPPP9fu3bs1e/ZsSfYTyT09PW015FTj9TpvVOOtHpejESwAAADgEDVr1pSnp6diY2Nvafvy5csrMTHRLlwUxDMdLBaLWrVqpS+//FL79+9Xy5Yt1aBBA6Wmpurdd99VaGioLczs3r1bmZmZmjp1qu69917VqlVLv//+u8NrzEnt2rW1c+dOu7a/v3cUggUAAAAcwsPDQ8OHD9ewYcP0wQcf6OjRo9q+fbsWLFiQp+3btGmj5ORkTZkyRUePHtXs2bO1evVqB1f9v33/61//UsOGDVWyZEm5uLjovvvu05IlS+zmV9SoUUPp6emaOXOmjh07pg8//FAxMTEFUmN2XnrpJS1YsECLFy/Wr7/+qgkTJuinn37K9mpJfiNYAAAAwGFGjRqlIUOGaPTo0QoKClKXLl3yPIciKChIc+bM0ezZsxUSEqIdO3Zo6NChDq74mtatWysjI8NuLkWbNm2ytIWEhGjatGl64403VL9+fS1ZskTR0dEFUmN2nn32WUVFRWno0KG6++67dfz4cfXs2VMeHh4O37fF+PvAtdtcSkqKfH19de7cOfn4+Di7HAC4vY31dXD/5xzbP1BIXLlyRcePH1fVqlUL5Asibi8PPvig/P399eGHH2a7PLfz62a+O3O7WQAAAOA2cenSJcXExKhdu3ZydXXVv/71L23YsEHr1693+L4ZCgUAAIBi5ZFHHlHJkiWzfU2aNMnZ5ZlisVi0atUq3XfffWrcuLG+/vprff755woLC3P4vrliAQAAgGJl/vz5unz5crbLypYtW8DV5C9PT09t2LDBKft2+hWL2bNnKzAwUB4eHmratKl27NiR6/rTp09X7dq15enpqYCAAA0ePFhXrlwpoGoBAABQ1FWuXFk1atTI9lXUg4UzOTVYfPzxx4qMjNSYMWO0Z88ehYSEqF27djneKWDp0qUaMWKExowZo4MHD2rBggX6+OOP9eqrrxZw5QAAAAD+yqnBYtq0aerbt6969eqlunXrKiYmRl5eXlq4cGG262/dulUtWrTQP//5TwUGBuqhhx7SM888c8OrHAAAALeDYnYzTxSQ/DqvnBYs0tLStHv3bruJJC4uLgoLC9O2bduy3aZ58+bavXu3LUgcO3ZMq1at0qOPPprjflJTU5WSkmL3AgAAKErc3NwkXbvjD5Dfrp9X18+zW+W0ydunT59WRkaG/Pz87Nr9/Px06NChbLf55z//qdOnT6tly5YyDENXr15Vv379ch0KFR0drXHjxuVr7QBwuwgcsdKh/cdzu30gX7i6uqp06dK24eJeXl4F8iRl3N4Mw9ClS5d06tQplS5dWq6urqb6K1J3hYqLi9OkSZM0Z84cNW3aVEeOHNHAgQP1+uuva9SoUdluExUVpcjISNv7lJQUBQQEFFTJQNHHA84AoFDw9/eXpDw/tRrIq9KlS9vOLzOcFizKlSsnV1dXJSUl2bUnJSXleGCjRo1S9+7d1adPH0lScHCwLl68qOeff14jR46Ui0vWkV1Wq1VWqzX/DwAAAKAAWSwWVaxYURUqVFB6erqzy8Ftws3NzfSViuucFizc3d3VuHFjxcbGqmPHjpKkzMxMxcbGKiIiItttLl26lCU8XP8gmMwEAACKA1dX13z7IgjkJ6cOhYqMjFR4eLhCQ0PVpEkTTZ8+XRcvXlSvXr0kST169FDlypUVHR0tSerQoYOmTZumRo0a2YZCjRo1Sh06dOA/MAAAAMCJnBosunTpouTkZI0ePVqJiYlq2LCh1qxZY5vQnZCQYHeF4rXXXpPFYtFrr72m3377TeXLl1eHDh00ceJEZx0CAAAAAEkWo5iNIUpJSZGvr6/OnTsnHx8fZ5cDFH5M3r6tOf6uUP90aP+cPwDgWDfz3dmpD8gDAAAAcHsgWAAAAAAwjWABAAAAwDSCBQAAAADTCBYAAAAATCNYAAAAADCNYAEAAADANIIFAAAAANMIFgAAAABMI1gAAAAAMI1gAQAAAMA0ggUAAAAA0wgWAAAAAEwjWAAAAAAwjWABAAAAwDSCBQAAAADTCBYAAAAATCNYAAAAADCNYAEAAADANIIFAAAAANMIFgAAAABMI1gAAAAAMI1gAQAAAMA0ggUAAAAA0wgWAAAAAEwjWAAAAAAwjWABAAAAwDSCBQAAAADTCBYAAAAATCNYAAAAADCNYAEAAADANIIFAAAAANMIFgAAAABMI1gAAAAAMI1gAQAAAMA0ggUAAAAA0wgWAAAAAEwjWAAAAAAwrYSzCwAAAMhirK+D+z/n2P6BYogrFgAAAABMI1gAAAAAMI1gAQAAAMA0ggUAAAAA0wgWAAAAAEwjWAAAAAAwjWABAAAAwDSCBQAAAADTnB4sZs+ercDAQHl4eKhp06basWNHruufPXtWAwYMUMWKFWW1WlWrVi2tWrWqgKoFAAAAkB2nPnn7448/VmRkpGJiYtS0aVNNnz5d7dq10+HDh1WhQoUs66elpenBBx9UhQoV9Nlnn6ly5co6ceKESpcuXfDFAwAAALBxarCYNm2a+vbtq169ekmSYmJitHLlSi1cuFAjRozIsv7ChQt15swZbd26VW5ubpKkwMDAgiwZAAAAQDacNhQqLS1Nu3fvVlhY2P+KcXFRWFiYtm3blu02X331lZo1a6YBAwbIz89P9evX16RJk5SRkVFQZQMAAADIhtOuWJw+fVoZGRny8/Oza/fz89OhQ4ey3ebYsWPauHGjnn32Wa1atUpHjhxR//79lZ6erjFjxmS7TWpqqlJTU23vU1JS8u8gAAAAAEhy8lCom5WZmakKFSpo3rx5cnV1VePGjfXbb7/pzTffzDFYREdHa9y4cQVcaSEz1tfB/Z9zbP8AkIPgxcEO7X9f+D6H9g8AtxOnDYUqV66cXF1dlZSUZNeelJQkf3//bLepWLGiatWqJVdXV1tbUFCQEhMTlZaWlu02UVFROnfunO118uTJ/DsIAAAAAJKcGCzc3d3VuHFjxcbG2toyMzMVGxurZs2aZbtNixYtdOTIEWVmZtrafvnlF1WsWFHu7u7ZbmO1WuXj42P3AgAAAJC/nPoci8jISL333ntavHixDh48qBdffFEXL1603SWqR48eioqKsq3/4osv6syZMxo4cKB++eUXrVy5UpMmTdKAAQOcdQgAAAAA5OQ5Fl26dFFycrJGjx6txMRENWzYUGvWrLFN6E5ISJCLy/+yT0BAgNauXavBgwerQYMGqly5sgYOHKjhw4c76xAAAAAAqBBM3o6IiFBERES2y+Li4rK0NWvWTNu3b3dwVQAAAABuhlOHQgEAAAC4PRAsAAAAAJhGsAAAAABgmqlgceTIEa1du1aXL1+WJBmGkS9FAQAAAChabilY/PnnnwoLC1OtWrX06KOP6o8//pAk9e7dW0OGDMnXAgEAAAAUfrcULAYPHqwSJUooISFBXl5etvYuXbpozZo1+VYcAAAAgKLhlm43u27dOq1du1Z33nmnXXvNmjV14sSJfCkMAAAAQNFxS1csLl68aHel4rozZ87IarWaLgoAAABA0XJLwaJVq1b64IMPbO8tFosyMzM1ZcoUtW3bNt+KAwAAAFA03NJQqClTpuiBBx7Qrl27lJaWpmHDhmn//v06c+aMvvvuu/yuEQAAAEAhd0tXLOrXr69ffvlFLVu21OOPP66LFy/qySef1A8//KDq1avnd40AAAAACrlbumKRkJCggIAAjRw5MttlVapUMV0YgLwJHLHSof3Hezi0ewAAcJu4pSsWVatWVXJycpb2P//8U1WrVjVdFAAAAICi5ZaChWEYslgsWdovXLggDw9+3gQAAACKm5saChUZGSnp2l2gRo0aZXfL2YyMDH3//fdq2LBhvhYIAAAAoPC7qWDxww8/SLp2xWLfvn1yd3e3LXN3d1dISIiGDh2avxUCAAAAKPRuKlhs2rRJktSrVy/NmDFDPj4+DikKAAAAQNFyS3eFev/99/O7DgAAAABF2C0FC0natWuXPvnkEyUkJCgtLc1u2fLly00XBgAAAKDouKW7Qi1btkzNmzfXwYMH9cUXXyg9PV379+/Xxo0b5evrm981AgAAACjkbilYTJo0SW+//ba+/vprubu7a8aMGTp06JCefvppHo4HAAAAFEO3FCyOHj2q9u3bS7p2N6iLFy/KYrFo8ODBmjdvXr4WCAAAAKDwu6VgUaZMGZ0/f16SVLlyZf3888+SpLNnz+rSpUv5Vx0AAACAIuGWJm/fd999Wr9+vYKDg9W5c2cNHDhQGzdu1Pr163X//ffnd40AAAAACrlbChazZs3SlStXJEkjR46Um5ubtm7dqk6dOvGAPAAAAKAYuqWhUGXLllWlSpWudeDiohEjRuiTTz5RpUqV1KhRo3wtEAAAAEDhd1PBIjU1VVFRUQoNDVXz5s21YsUKSdcemFe9enXNmDFDgwcPdkSdAAAAAAqxmxoKNXr0aL377rsKCwvT1q1b1blzZ/Xq1Uvbt2/X1KlT1blzZ7m6ujqqVgAAAACF1E0Fi08//VQffPCBHnvsMf38889q0KCBrl69qh9//FEWi8VRNQIAAAAo5G5qKNR//vMfNW7cWJJUv359Wa1WDR48mFABAAAAFHM3FSwyMjLk7u5ue1+iRAmVLFky34sCAAAAULTc1FAowzDUs2dPWa1WSdKVK1fUr18/eXt72623fPny/KsQAAAAQKF3U8EiPDzc7n23bt3ytRgAAAAARdNNBYv333/fUXUAAAAAKMJu6QF5AAAAAPBXBAsAAAAAphEsAAAAAJhGsAAAAABgGsECAAAAgGkECwAAAACmESwAAAAAmEawAAAAAGAawQIAAACAaTf15G0gO8GLgx3a/77wfQ7tHwAAAOZxxQIAAACAaQQLAAAAAKYRLAAAAACYRrAAAAAAYFqhmLw9e/Zsvfnmm0pMTFRISIhmzpypJk2a3HC7ZcuW6ZlnntHjjz+uFStWOL5QAPmOyf8AANwenH7F4uOPP1ZkZKTGjBmjPXv2KCQkRO3atdOpU6dy3S4+Pl5Dhw5Vq1atCqhSAAAAADlxerCYNm2a+vbtq169eqlu3bqKiYmRl5eXFi5cmOM2GRkZevbZZzVu3DhVq1atAKsFAAAAkB2nBou0tDTt3r1bYWFhtjYXFxeFhYVp27ZtOW43fvx4VahQQb179y6IMgEAAADcgFPnWJw+fVoZGRny8/Oza/fz89OhQ4ey3WbLli1asGCB9u7dm6d9pKamKjU11fY+JSXllusFAAAAkD2nD4W6GefPn1f37t313nvvqVy5cnnaJjo6Wr6+vrZXQECAg6sEAAAAih+nXrEoV66cXF1dlZSUZNeelJQkf3//LOsfPXpU8fHx6tChg60tMzNTklSiRAkdPnxY1atXt9smKipKkZGRtvcpKSmECwAATAocsdKh/cd7OLR7AA7g1GDh7u6uxo0bKzY2Vh07dpR0LSjExsYqIiIiy/p16tTRvn32t4587bXXdP78ec2YMSPbwGC1WmW1Wh1SPwAAAIBrnP4ci8jISIWHhys0NFRNmjTR9OnTdfHiRfXq1UuS1KNHD1WuXFnR0dHy8PBQ/fr17bYvXbq0JGVpBwAAAFBwnB4sunTpouTkZI0ePVqJiYlq2LCh1qxZY5vQnZCQIBeXIjUVBAAAACh2nB4sJCkiIiLboU+SFBcXl+u2ixYtyv+CAAAAANwULgUAAAAAMI1gAQAAAMA0ggUAAAAA0wgWAAAAAEwjWAAAAAAwjWABAAAAwDSCBQAAAADTCBYAAAAATCNYAAAAADCNYAEAAADANIIFAAAAANMIFgAAAABMI1gAAAAAMI1gAQAAAMA0ggUAAAAA0wgWAAAAAEwjWAAAAAAwjWABAAAAwDSCBQAAAADTCBYAAAAATCNYAAAAADCNYAEAAADAtBLOLgAAAKCgBS8Odmj/+8L3ObR/oDDiigUAAAAA0wgWAAAAAEwjWAAAAAAwjWABAAAAwDSCBQAAAADTCBYAAAAATCNYAAAAADCNYAEAAADANIIFAAAAANMIFgAAAABMI1gAAAAAMI1gAQAAAMA0ggUAAAAA0wgWAAAAAEwjWAAAAAAwjWABAAAAwDSCBQAAAADTCBYAAAAATCNYAAAAADCNYAEAAADAtBLOLgBS4IiVDu0/3sOh3QMAAABcsQAAAABgHsECAAAAgGkECwAAAACmESwAAAAAmFYogsXs2bMVGBgoDw8PNW3aVDt27Mhx3ffee0+tWrVSmTJlVKZMGYWFheW6PgAAAADHc3qw+PjjjxUZGakxY8Zoz549CgkJUbt27XTq1Kls14+Li9MzzzyjTZs2adu2bQoICNBDDz2k3377rYArBwAAAHCd0283O23aNPXt21e9evWSJMXExGjlypVauHChRowYkWX9JUuW2L2fP3++Pv/8c8XGxqpHjx4FUjMAAACKr+DFwQ7tf1/4Pof27yhOvWKRlpam3bt3KywszNbm4uKisLAwbdu2LU99XLp0Senp6SpbtqyjygQAAABwA069YnH69GllZGTIz8/Prt3Pz0+HDh3KUx/Dhw9XpUqV7MLJX6Wmpio1NdX2PiUl5dYLBgAAAJAtp8+xMGPy5MlatmyZvvjiC3l4ZP946ejoaPn6+tpeAQEBBVwlAAAAcPtzarAoV66cXF1dlZSUZNeelJQkf3//XLd96623NHnyZK1bt04NGjTIcb2oqCidO3fO9jp58mS+1A4AAADgf5waLNzd3dW4cWPFxsba2jIzMxUbG6tmzZrluN2UKVP0+uuva82aNQoNDc11H1arVT4+PnYvAAAAAPnL6XeFioyMVHh4uEJDQ9WkSRNNnz5dFy9etN0lqkePHqpcubKio6MlSW+88YZGjx6tpUuXKjAwUImJiZKkkiVLqmTJkk47DgAAAKA4c3qw6NKli5KTkzV69GglJiaqYcOGWrNmjW1Cd0JCglxc/ndhZe7cuUpLS9NTTz1l18+YMWM0duzYgiwdAAAAwP9zerCQpIiICEVERGS7LC4uzu59fHy84wsCAAAAcFOK9F2hAAAAABQOBAsAAAAAphEsAAAAAJhGsAAAAABgWqGYvA0AAADkm7G+ju2/ahXH9l9EccUCAAAAgGkECwAAAACmESwAAAAAmEawAAAAAGAawQIAAACAaQQLAAAAAKYRLAAAAACYRrAAAAAAYBrBAgAAAIBpBAsAAAAAphEsAAAAAJhGsAAAAABgGsECAAAAgGkECwAAAACmESwAAAAAmEawAAAAAGAawQIAAACAaQQLAAAAAKYRLAAAAACYRrAAAAAAYBrBAgAAAIBpBAsAAAAAphEsAAAAAJhGsAAAAABgGsECAAAAgGkECwAAAACmESwAAAAAmEawAAAAAGAawQIAAACAaQQLAAAAAKYRLAAAAACYRrAAAAAAYBrBAgAAAIBpBAsAAAAAphEsAAAAAJhGsAAAAABgGsECAAAAgGkECwAAAACmESwAAAAAmEawAAAAAGAawQIAAACAaQQLAAAAAKYRLAAAAACYViiCxezZsxUYGCgPDw81bdpUO3bsyHX9Tz/9VHXq1JGHh4eCg4O1atWqAqoUAAAAQHacHiw+/vhjRUZGasyYMdqzZ49CQkLUrl07nTp1Ktv1t27dqmeeeUa9e/fWDz/8oI4dO6pjx476+eefC7hyAAAAANc5PVhMmzZNffv2Va9evVS3bl3FxMTIy8tLCxcuzHb9GTNm6OGHH9Yrr7yioKAgvf7667r77rs1a9asAq4cAAAAwHVODRZpaWnavXu3wsLCbG0uLi4KCwvTtm3bst1m27ZtdutLUrt27XJcHwAAAIDjlXDmzk+fPq2MjAz5+fnZtfv5+enQoUPZbpOYmJjt+omJidmun5qaqtTUVNv7c+fOSZJSUlLMlJ6vMlMvObT/FIvh0P4zLmc4tP/C9G9VGHH+5I7zJ3ecP7nj/MkZ507uOHecLJXzJ79cr8UwbvyZOjVYFITo6GiNGzcuS3tAQIATqnEOX4fv4aBDe/d90fFHgJxx/sAMzh/cKs4dFG7F7/w5f/68fH1zr8upwaJcuXJydXVVUlKSXXtSUpL8/f2z3cbf3/+m1o+KilJkZKTtfWZmps6cOaM77rhDFovF5BHcflJSUhQQEKCTJ0/Kx8fH2eWgiOH8gRmcP7hVnDswg/Mnd4Zh6Pz586pUqdIN13VqsHB3d1fjxo0VGxurjh07Srr2xT82NlYRERHZbtOsWTPFxsZq0KBBtrb169erWbNm2a5vtVpltVrt2kqXLp0f5d/WfHx8+I8Lt4zzB2Zw/uBWce7ADM6fnN3oSsV1Th8KFRkZqfDwcIWGhqpJkyaaPn26Ll68qF69ekmSevToocqVKys6OlqSNHDgQLVu3VpTp05V+/bttWzZMu3atUvz5s1z5mEAAAAAxZrTg0WXLl2UnJys0aNHKzExUQ0bNtSaNWtsE7QTEhLk4vK/m1c1b95cS5cu1WuvvaZXX31VNWvW1IoVK1S/fn1nHQIAAABQ7Dk9WEhSREREjkOf4uLisrR17txZnTt3dnBVxZPVatWYMWOyDB8D8oLzB2Zw/uBWce7ADM6f/GMx8nLvKAAAAADIhdOfvA0AAACg6CNYAAAAADCNYAEAAADANIIFAAAAijWmHOePQnFXKDjP6dOntXDhQm3btk2JiYmSrj3dvHnz5urZs6fKly/v5AoBAAAcy2q16scff1RQUJCzSynSuCtUMbZz5061a9dOXl5eCgsLsz07JCkpSbGxsbp06ZLWrl2r0NBQJ1eKoujkyZMaM2aMFi5c6OxSUEhdvnxZu3fvVtmyZVW3bl27ZVeuXNEnn3yiHj16OKk6FGYHDx7U9u3b1axZM9WpU0eHDh3SjBkzlJqaqm7duun+++93dokopCIjI7NtnzFjhrp166Y77rhDkjRt2rSCLOu2QbAoxu69916FhIQoJiZGFovFbplhGOrXr59++uknbdu2zUkVoij78ccfdffddysjI8PZpaAQ+uWXX/TQQw8pISFBFotFLVu21LJly1SxYkVJ137gqFSpEucPslizZo0ef/xxlSxZUpcuXdIXX3yhHj16KCQkRJmZmdq8ebPWrVtHuEC2XFxcFBISotKlS9u1b968WaGhofL29pbFYtHGjRudU2ARR7Aoxjw9PfXDDz+oTp062S4/dOiQGjVqpMuXLxdwZSgKvvrqq1yXHzt2TEOGDOGLIbL1xBNPKD09XYsWLdLZs2c1aNAgHThwQHFxcapSpQrBAjlq3ry57r//fk2YMEHLli1T//799eKLL2rixImSpKioKO3evVvr1q1zcqUojCZPnqx58+Zp/vz5duHTzc1NP/74Y5arp7g5BItirGrVqho3blyOQw0++OADjR49WvHx8QVbGIoEFxcXWSyWXCe8WSwWvhgiW35+ftqwYYOCg4MlXbtK2r9/f61atUqbNm2St7c3wQLZ8vX11e7du1WjRg1lZmbKarVqx44datSokSTp559/VlhYmG3eIPB3O3fuVLdu3dShQwdFR0fLzc2NYJFPuCtUMTZ06FA9//zzGjhwoL766it9//33+v777/XVV19p4MCB6tevn4YNG+bsMlFIVaxYUcuXL1dmZma2rz179ji7RBRily9fVokS/7t/iMVi0dy5c9WhQwe1bt1av/zyixOrQ2F3ffiui4uLPDw85Ovra1tWqlQpnTt3zlmloQi45557tHv3biUnJys0NFQ///xzliHhuDXcFaoYGzBggMqVK6e3335bc+bMsf0y6OrqqsaNG2vRokV6+umnnVwlCqvGjRtr9+7devzxx7NdfqOrGSje6tSpo127dmW5A8usWbMkSY899pgzykIREBgYqF9//VXVq1eXJG3btk1VqlSxLU9ISLDN1QFyUrJkSS1evFjLli1TWFgYV0fzCUOhIElKT0/X6dOnJUnlypWTm5ubkytCYffvf/9bFy9e1MMPP5zt8osXL2rXrl1q3bp1AVeGoiA6Olr//ve/tWrVqmyX9+/fXzExMcrMzCzgylDYxcTEKCAgQO3bt892+auvvqpTp05p/vz5BVwZiqr//Oc/2r17t8LCwuTt7e3scoo0ggUAAAAA05hjAQAAAMA0ggUAAAAA0wgWAAAAAEwjWAAAAAAwjWABADDNYrFoxYoVzi4DAOBEBAsAwA0lJibqpZdeUrVq1WS1WhUQEKAOHTooNjY23/cVFxcni8Wis2fP5nvfAADH4QF5AIBcxcfHq0WLFipdurTefPNNBQcHKz09XWvXrtWAAQN06NAhZ5eYLcMwlJGRYfeEbwCA43DFAgCQq/79+8tisWjHjh3q1KmTatWqpXr16ikyMlLbt2/Psn52Vxz27t0ri8Wi+Ph4SdKJEyfUoUMHlSlTRt7e3qpXr55WrVql+Ph4tW3bVpJUpkwZWSwW9ezZU5KUmZmp6OhoVa1aVZ6engoJCdFnn32WZb+rV69W48aNZbVatWXLFv34449q27atSpUqJR8fHzVu3Fi7du1y2OcFAMUVP+MAAHJ05swZrVmzRhMnTsz2ibSlS5e+pX4HDBigtLQ0ffvtt/L29taBAwdUsmRJBQQE6PPPP1enTp10+PBh+fj4yNPTU9K1p3V/9NFHiomJUc2aNfXtt9+qW7duKl++vN0T3keMGKG33npL1apVU5kyZXTfffepUaNGmjt3rlxdXbV37165ubndUt0AgJwRLAAAOTpy5IgMw1CdOnXytd+EhAR16tRJwcHBkqRq1arZlpUtW1aSVKFCBVtwSU1N1aRJk7RhwwY1a9bMts2WLVv07rvv2gWL8ePH68EHH7Tb1yuvvGI7hpo1a+brsQAAriFYAAByZBiGQ/p9+eWX9eKLL2rdunUKCwtTp06d1KBBgxzXP3LkiC5dumQXGCQpLS1NjRo1smsLDQ21ex8ZGak+ffroww8/VFhYmDp37qzq1avn38EAACQxxwIAkIuaNWvKYrHc1ARtF5dr/9fy11CSnp5ut06fPn107Ngxde/eXfv27VNoaKhmzpyZY58XLlyQJK1cuVJ79+61vQ4cOGA3z0JSliFbY8eO1f79+9W+fXtt3LhRdevW1RdffJHn4wEA5A3BAgCQo7Jly6pdu3aaPXu2Ll68mGV5dreELV++vCTpjz/+sLXt3bs3y3oBAQHq16+fli9friFDhui9996TJLm7u0uSMjIybOvWrVtXVqtVCQkJqlGjht0rICDghsdRq1YtDR48WOvWrdOTTz6p999//4bbAABuDsECAJCr2bNnKyMjQ02aNNHnn3+uX3/9VQcPHtQ777xjm+/wV9e/7I8dO1a//vqrVq5cqalTp9qtM2jQIK1du1bHjx/Xnj17tGnTJgUFBUmS7rrrLlksFn3zzTdKTk7WhQsXVKpUKQ0dOlSDBw/W4sWLdfToUe3Zs0czZ87U4sWLc6z98uXLioiIUFxcnE6cOKHvvvtOO3futO0LAJB/CBYAgFxVq1ZNe/bsUdu2bTVkyBDVr19fDz74oGJjYzV37tws67u5uelf//qXDh06pAYNGuiNN97QhAkT7NbJyMjQgAEDFBQUpIcffli1atXSnDlzJEmVK1fWuHHjNGLECPn5+SkiIkKS9Prrr2vUqFGKjo62bbdy5UpVrVo1x9pdXV31559/qkePHqpVq5aefvppPfLIIxo3blw+fkIAAEmyGI6amQcAAACg2OCKBQAAAADTCBYAAAAATCNYAAAAADCNYAEAAADANIIFAAAAANMIFgAAAABMI1gAAAAAMI1gAQAAAMA0ggUAAAAA0wgWAAAAAEwjWAAAAAAwjWABAAAAwLT/A9hit1Vw7oi6AAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 800x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "for k in [2, 5]:\n",
-    "    tmp = (\n",
-    "        dfc.groupby(f\"cluster_k{k}\")\n",
-    "        .agg(\n",
-    "            churn_hard=(\"churn_hard\", \"mean\"),\n",
-    "            churn_soft=(\"churn_soft\", \"mean\"),\n",
-    "            churn_warning=(\"churn_warning\", \"mean\")\n",
-    "        )\n",
-    "    )\n",
-    "\n",
-    "    tmp.plot(kind=\"bar\", figsize=(8, 4))\n",
-    "    plt.title(f\"Churn by cluster — K={k}\")\n",
-    "    plt.ylabel(\"Rate\")\n",
-    "    plt.xlabel(\"Clusters\")\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a0370454-561e-48c5-ad3b-28a356a2abac",
-   "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": "3.13.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/data_flux_stock.ipynb b/data_flux_stock.ipynb
deleted file mode 100644
index 8d55f5f..0000000
--- a/data_flux_stock.ipynb
+++ /dev/null
@@ -1,597 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "f996e528-002f-4856-a67a-5120e8af86ad",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers Flows : ['projet-bdc-data/carmignac/Flows ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/Flows ENSAE V2 -20251105.csv']\n",
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    }
-   ],
-   "source": [
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers FLOWS\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "flows_files = [f for f in all_files if \"Flows\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers Flows :\", flows_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "flows_data = {}\n",
-    "for file_path in flows_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        flows_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "bdfc2afe-c3aa-41b6-bb40-3a7bf2a39d9a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - Subscription</th>\n",
-       "      <th>Quantity - Redemption</th>\n",
-       "      <th>Quantity - NetFlows</th>\n",
-       "      <th>Value Ccy - Subscription</th>\n",
-       "      <th>Value Ccy - Redemption</th>\n",
-       "      <th>Value Ccy - NetFlows</th>\n",
-       "      <th>Value € - Subscription</th>\n",
-       "      <th>Value € - Redemption</th>\n",
-       "      <th>Value € - NetFlows</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>SICAV</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-11-05</td>\n",
-       "      <td>1636.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1636.000</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>280983.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2015-03-09</td>\n",
-       "      <td>144.69</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>144.690</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>99985.13</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>99985.13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2016-10-26</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>-8.321</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-9384.76</td>\n",
-       "      <td>-9384.76</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2018-10-18</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>-22.083</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-25227.40</td>\n",
-       "      <td>-25227.40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Equity</td>\n",
-       "      <td>Investissement</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-04-08</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>-465.992</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>-563775.76</td>\n",
-       "      <td>-563775.76</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 24 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200127202                     France   \n",
-       "1                 406533                     France   \n",
-       "2                 406533                     France   \n",
-       "3                 406533                     France   \n",
-       "4                 406533                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France               Equity     Investissement   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France               Equity     Investissement   \n",
-       "3                     France               Equity     Investissement   \n",
-       "4                     France               Equity     Investissement   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?  ... Centralisation Date  \\\n",
-       "0                  SICAV                   NO  ...          2020-11-05   \n",
-       "1                    FCP                   NO  ...          2015-03-09   \n",
-       "2                    FCP                   NO  ...          2016-10-26   \n",
-       "3                    FCP                   NO  ...          2018-10-18   \n",
-       "4                    FCP                   NO  ...          2019-04-08   \n",
-       "\n",
-       "  Quantity - Subscription Quantity - Redemption Quantity - NetFlows  \\\n",
-       "0                 1636.00                 0.000            1636.000   \n",
-       "1                  144.69                 0.000             144.690   \n",
-       "2                    0.00                -8.321              -8.321   \n",
-       "3                    0.00               -22.083             -22.083   \n",
-       "4                    0.00              -465.992            -465.992   \n",
-       "\n",
-       "  Value Ccy - Subscription  Value Ccy - Redemption  Value Ccy - NetFlows  \\\n",
-       "0                280983.00                    0.00             280983.00   \n",
-       "1                 99985.13                    0.00              99985.13   \n",
-       "2                     0.00                -9384.76              -9384.76   \n",
-       "3                     0.00               -25227.40             -25227.40   \n",
-       "4                     0.00              -563775.76            -563775.76   \n",
-       "\n",
-       "   Value € - Subscription  Value € - Redemption  Value € - NetFlows  \n",
-       "0               280983.00                  0.00           280983.00  \n",
-       "1                99985.13                  0.00            99985.13  \n",
-       "2                    0.00              -9384.76            -9384.76  \n",
-       "3                    0.00             -25227.40           -25227.40  \n",
-       "4                    0.00            -563775.76          -563775.76  \n",
-       "\n",
-       "[5 rows x 24 columns]"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = flows_data['Flows ENSAE V2 -20251105.csv']\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "6af3bcd9-0a54-4087-a8cf-203fb6f8a947",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Agreement - Code</th>\n",
-       "      <th>Company - Id</th>\n",
-       "      <th>Company - Ultimate Parent Id</th>\n",
-       "      <th>Registrar Account - ID</th>\n",
-       "      <th>Registrar Account - Region</th>\n",
-       "      <th>RegistrarAccount - Country</th>\n",
-       "      <th>Product - Asset Type</th>\n",
-       "      <th>Product - Strategy</th>\n",
-       "      <th>Product - Legal Status</th>\n",
-       "      <th>Product - Is Dedie ?</th>\n",
-       "      <th>Product - Fund</th>\n",
-       "      <th>Product - Shareclass Type</th>\n",
-       "      <th>Product - Shareclass Currency</th>\n",
-       "      <th>Product - Isin</th>\n",
-       "      <th>Centralisation Date</th>\n",
-       "      <th>Quantity - AUM</th>\n",
-       "      <th>Value - AUM CCY</th>\n",
-       "      <th>Value - AUM €</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>24648.6666</td>\n",
-       "      <td>24648.6666</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22413.0553</td>\n",
-       "      <td>22413.0553</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2015-12-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22051.2406</td>\n",
-       "      <td>22051.2406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-03-31</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>21626.1173</td>\n",
-       "      <td>21626.1173</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>003</td>\n",
-       "      <td>166</td>\n",
-       "      <td>166</td>\n",
-       "      <td>200000647</td>\n",
-       "      <td>France</td>\n",
-       "      <td>France</td>\n",
-       "      <td>Diversified</td>\n",
-       "      <td>Patrimoine</td>\n",
-       "      <td>FCP</td>\n",
-       "      <td>NO</td>\n",
-       "      <td>Carmignac Patrimoine</td>\n",
-       "      <td>A</td>\n",
-       "      <td>EUR</td>\n",
-       "      <td>FR0010135103</td>\n",
-       "      <td>2016-11-30</td>\n",
-       "      <td>35.368</td>\n",
-       "      <td>22489.4502</td>\n",
-       "      <td>22489.4502</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "0              003          166                          166   \n",
-       "1              003          166                          166   \n",
-       "2              003          166                          166   \n",
-       "3              003          166                          166   \n",
-       "4              003          166                          166   \n",
-       "\n",
-       "  Registrar Account - ID Registrar Account - Region  \\\n",
-       "0              200000647                     France   \n",
-       "1              200000647                     France   \n",
-       "2              200000647                     France   \n",
-       "3              200000647                     France   \n",
-       "4              200000647                     France   \n",
-       "\n",
-       "  RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "0                     France          Diversified         Patrimoine   \n",
-       "1                     France          Diversified         Patrimoine   \n",
-       "2                     France          Diversified         Patrimoine   \n",
-       "3                     France          Diversified         Patrimoine   \n",
-       "4                     France          Diversified         Patrimoine   \n",
-       "\n",
-       "  Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
-       "0                    FCP                   NO  Carmignac Patrimoine   \n",
-       "1                    FCP                   NO  Carmignac Patrimoine   \n",
-       "2                    FCP                   NO  Carmignac Patrimoine   \n",
-       "3                    FCP                   NO  Carmignac Patrimoine   \n",
-       "4                    FCP                   NO  Carmignac Patrimoine   \n",
-       "\n",
-       "  Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
-       "0                         A                           EUR   FR0010135103   \n",
-       "1                         A                           EUR   FR0010135103   \n",
-       "2                         A                           EUR   FR0010135103   \n",
-       "3                         A                           EUR   FR0010135103   \n",
-       "4                         A                           EUR   FR0010135103   \n",
-       "\n",
-       "  Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
-       "0          2015-03-31          35.368       24648.6666     24648.6666  \n",
-       "1          2015-11-30          35.368       22413.0553     22413.0553  \n",
-       "2          2015-12-31          35.368       22051.2406     22051.2406  \n",
-       "3          2016-03-31          35.368       21626.1173     21626.1173  \n",
-       "4          2016-11-30          35.368       22489.4502     22489.4502  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dg = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "dg.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "1d9cd20d-2e79-47b8-91f1-09fee4962dc6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df_ids = set(df['Registrar Account - ID'].unique())\n",
-    "dg_ids = set(dg['Registrar Account - ID'].unique())\n",
-    "\n",
-    "intersect  = df_ids & dg_ids     # comptes dans les deux\n",
-    "only_df    = df_ids - dg_ids     # comptes seulement dans df\n",
-    "only_dg    = dg_ids - df_ids     # comptes seulement dans dg\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "1a374690-119e-4bbb-a12d-13d0305780ad",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                   Comptes présents\n",
-      "Seulement dans df               118\n",
-      "Seulement dans dg              5777\n",
-      "Dans les deux                  6724\n"
-     ]
-    }
-   ],
-   "source": [
-    "summary = pd.DataFrame({\n",
-    "    \"Comptes présents\": [\n",
-    "        len(only_df),\n",
-    "        len(only_dg),\n",
-    "        len(intersect)\n",
-    "    ]\n",
-    "}, index=[\"Seulement dans df\", \"Seulement dans dg\", \"Dans les deux\"])\n",
-    "\n",
-    "print(summary)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "1b35a706-e94b-4bbb-8255-be5de03cb33b",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Nombre de comptes seulement dans dg de stocks indentiquements nuls : 4657\n"
-     ]
-    }
-   ],
-   "source": [
-    "aum_max = dg.groupby('Registrar Account - ID')['Quantity - AUM'].max()\n",
-    "accounts_always_zero = aum_max[aum_max == 0].index\n",
-    "\n",
-    "accounts_always_zero_set = set(accounts_always_zero)\n",
-    "\n",
-    "intersection = accounts_always_zero_set & only_dg\n",
-    "\n",
-    "print(\"Nombre de comptes seulement dans dg de stocks indentiquements nuls :\", len(intersection))"
-   ]
-  }
- ],
- "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": "3.13.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/dataloader.ipynb b/dataloader.ipynb
deleted file mode 100644
index b7529a7..0000000
--- a/dataloader.ipynb
+++ /dev/null
@@ -1,201 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "126c8a80-d9ad-4816-84f0-0c3d580f62c8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "ff2261fb-9516-4410-b42d-3acc8dc1a460",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "import s3fs\n",
-    "os.environ[\"AWS_ACCESS_KEY_ID\"] = 'N1DBJCHI7YTK9AVMG6XT'\n",
-    "os.environ[\"AWS_SECRET_ACCESS_KEY\"] = 'SRCPMh8a1eQxX6Z09GeDxZoD55MBpnkJzyBctLII'\n",
-    "os.environ[\"AWS_SESSION_TOKEN\"] = 'eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.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.sLXOE8w930_dXU0yNWroaDvaTvcUUCONMcbgbKeMEduQebXQjOS7gEQxo-I7Q2oqLFb_dhg1zBlwx5VpNjyTMA'\n",
-    "os.environ[\"AWS_DEFAULT_REGION\"] = 'us-east-1'\n",
-    "fs = s3fs.S3FileSystem(\n",
-    "    client_kwargs={'endpoint_url': 'https://'+'minio-simple.lab.groupe-genes.fr'},\n",
-    "    key = os.environ[\"AWS_ACCESS_KEY_ID\"], \n",
-    "    secret = os.environ[\"AWS_SECRET_ACCESS_KEY\"], \n",
-    "    token = os.environ[\"AWS_SESSION_TOKEN\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "dc546698-76dc-4eaf-b9e2-7602953bf8f5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Morningstar Global Asset Class</th>\n",
-       "      <th>Morningstar Global Category</th>\n",
-       "      <th>Morningstar Category</th>\n",
-       "      <th>Combined Country</th>\n",
-       "      <th>Combined Channel Type</th>\n",
-       "      <th>Combined Type</th>\n",
-       "      <th>Month/Year (Record Date)</th>\n",
-       "      <th>Combined Net Assets</th>\n",
-       "      <th>Combined Net Sales</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Proprietary</td>\n",
-       "      <td>Domestic</td>\n",
-       "      <td>Jan 2015</td>\n",
-       "      <td>11170000.0</td>\n",
-       "      <td>799301.47</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Proprietary</td>\n",
-       "      <td>Domestic</td>\n",
-       "      <td>Feb 2015</td>\n",
-       "      <td>21210000.0</td>\n",
-       "      <td>8922456.46</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Proprietary</td>\n",
-       "      <td>Domestic</td>\n",
-       "      <td>Mar 2015</td>\n",
-       "      <td>23670000.0</td>\n",
-       "      <td>1718627.81</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Proprietary</td>\n",
-       "      <td>Domestic</td>\n",
-       "      <td>Apr 2015</td>\n",
-       "      <td>22720000.0</td>\n",
-       "      <td>-670097.35</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Luxembourg</td>\n",
-       "      <td>Proprietary</td>\n",
-       "      <td>Domestic</td>\n",
-       "      <td>May 2015</td>\n",
-       "      <td>23550000.0</td>\n",
-       "      <td>204625.93</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  Morningstar Global Asset Class Morningstar Global Category  \\\n",
-       "0                            NaN                         NaN   \n",
-       "1                            NaN                         NaN   \n",
-       "2                            NaN                         NaN   \n",
-       "3                            NaN                         NaN   \n",
-       "4                            NaN                         NaN   \n",
-       "\n",
-       "  Morningstar Category Combined Country Combined Channel Type Combined Type  \\\n",
-       "0                  NaN       Luxembourg           Proprietary      Domestic   \n",
-       "1                  NaN       Luxembourg           Proprietary      Domestic   \n",
-       "2                  NaN       Luxembourg           Proprietary      Domestic   \n",
-       "3                  NaN       Luxembourg           Proprietary      Domestic   \n",
-       "4                  NaN       Luxembourg           Proprietary      Domestic   \n",
-       "\n",
-       "  Month/Year (Record Date)  Combined Net Assets  Combined Net Sales  \n",
-       "0                 Jan 2015           11170000.0           799301.47  \n",
-       "1                 Feb 2015           21210000.0          8922456.46  \n",
-       "2                 Mar 2015           23670000.0          1718627.81  \n",
-       "3                 Apr 2015           22720000.0          -670097.35  \n",
-       "4                 May 2015           23550000.0           204625.93  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "with fs.open('projet-bdc-data/carmignac/Data Modélisation/market data/broadridge_Global Market data MS.csv', 'rb') as f:\n",
-    "    df = pd.read_csv(f)\n",
-    "\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7494bffd-83b5-42e2-b17e-d04c90f3b59e",
-   "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": "3.13.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/detection_rupture.py b/detection_rupture.py
deleted file mode 100644
index 45eb26d..0000000
--- a/detection_rupture.py
+++ /dev/null
@@ -1,153 +0,0 @@
-import pandas as pd
-
-def detect_ruptures(df, epsilon=0.05):
-    # Colonnes clés pour identifier les comptes
-    key_cols = [
-        'Agreement - Code',
-        'Company - Id',
-        'Company - Ultimate Parent Id',
-        'Registrar Account - Region',
-        'RegistrarAccount - Country',
-        'Registrar Account - ID'
-    ]
-    
-    # Travailler sur une copie
-    df_temp = df.copy()
-
-    # Colonnes de dates
-    df_temp['Centralisation Date'] = pd.to_datetime(df_temp['Centralisation Date'])
-
-    # Dates distinctes
-    full_dates = (
-        pd.Series(df_temp['Centralisation Date'].unique())
-        .sort_values()
-        .reset_index(drop=True)
-    )
-
-    # Combinaisons comptes × dates
-    accounts = df_temp[key_cols].drop_duplicates()
-    full_index = accounts.merge(
-        pd.DataFrame({'Centralisation Date': full_dates}), 
-        how='cross'
-    )
-
-    # Agréger les AUM par clé
-    agg_cols = key_cols + ['Centralisation Date']
-    df_agg = (
-        df_temp.groupby(agg_cols)['Value - AUM €']
-        .sum()
-        .reset_index()
-    )
-
-    # Merge sur toutes les combinaisons
-    df_full = pd.merge(full_index, df_agg, on=agg_cols, how='left')
-
-    # Remplissage des trous par 0
-    df_full['Value - AUM €'] = df_full['Value - AUM €'].fillna(0)
-
-    # Tri
-    df_full = df_full.sort_values(key_cols + ['Centralisation Date'])
-
-    # Variation et valeur précédente
-    df_full['AUM_diff'] = df_full.groupby(key_cols)['Value - AUM €'].diff().fillna(0)
-    df_full['prev_value'] = df_full.groupby(key_cols)['Value - AUM €'].shift(1).fillna(0)
-
-    # Comptes qui perdent tout
-    df_zero = df_full[(df_full['AUM_diff'] < 0) & (df_full['Value - AUM €'] == 0)].copy()
-
-    # Comptes qui partent de 0
-    df_from_zero = df_full[(df_full['AUM_diff'] > 0) & (df_full['prev_value'] == 0)].copy()
-
-    # Colonnes pour le merge (sans ID)
-    merge_cols = [
-        'Centralisation Date',
-        'Agreement - Code',
-        'Company - Id',
-        'Company - Ultimate Parent Id',
-        'Registrar Account - Region',
-        'RegistrarAccount - Country'
-    ]
-
-    # Détection des ruptures
-    ruptures = pd.merge(df_zero, df_from_zero, on=merge_cols, suffixes=('_old','_new'))
-
-    # Calcul de la différence relative selon epsilon
-    ruptures['diff_rel'] = abs(ruptures['AUM_diff_old'] + ruptures['AUM_diff_new']) / (
-        (abs(ruptures['AUM_diff_old']) + abs(ruptures['AUM_diff_new'])) / 2
-    )
-
-    # Filtrage avec epsilon
-    ruptures = ruptures[ruptures['diff_rel'] <= epsilon].drop(columns=['diff_rel'])
-
-    # Colonnes finales
-    ruptures_df = ruptures[['Centralisation Date','Registrar Account - ID_old','Registrar Account - ID_new','AUM_diff_new']]
-    ruptures_df.columns = ['date','old_account','new_account','value']
-
-    return ruptures_df
-
-
-def check_isin_continuity(df, rupture, tol=0.05):
-    """
-    Vérifie que les ISIN évoluent continuellement entre old_account et new_account.
-    
-    Args:
-        df 
-        rupture (pd.DataFrame): Table avec colonnes ['date', 'old_account', 'new_account', 'value']
-        tol (float): Tolérance relative maximale (5%)
-        
-    Returns:
-        pd.DataFrame: Table avec colonnes supplémentaires :
-                      'isin', 'old_value', 'new_value', 'relative_change', 'check'
-    """
-    df['Centralisation Date'] = pd.to_datetime(df['Centralisation Date'])
-    rupture['date'] = pd.to_datetime(rupture['date'])
-    
-    # Dictionnaire des dates disponibles par compte pour trouver la date précédente
-    dates_by_account = df.groupby('Registrar Account - ID')['Centralisation Date'].unique().to_dict()
-    
-    records = []
-    
-    for _, row in rupture.iterrows():
-        date = row['date']
-        old_account = row['old_account']
-        new_account = row['new_account']
-        
-        # Date précédente pour l'ancien compte
-        past_dates = [d for d in dates_by_account.get(old_account, []) if d < date]
-        if not past_dates:
-            continue
-        prev_date = max(past_dates)
-        
-        # Filtrer df pour old_account à date précédente et new_account à date de rupture
-        df_old = df[(df['Registrar Account - ID'] == old_account) & 
-                    (df['Centralisation Date'] == prev_date)]
-        df_new = df[(df['Registrar Account - ID'] == new_account) & 
-                    (df['Centralisation Date'] == date)]
-        
-        # Tous les ISIN concernés
-        isins = set(df_old['Product - Isin']).union(df_new['Product - Isin'])
-        
-        for isin in isins:
-            old_val = df_old[df_old['Product - Isin'] == isin]['Quantity - AUM'].sum()
-            new_val = df_new[df_new['Product - Isin'] == isin]['Quantity - AUM'].sum()
-            old = df_old['Quantity - AUM'].sum()
-            
-            if old_val == 0:
-                rel_change = None
-                check = True
-            else:
-                rel_change = (new_val - old_val) / old
-                check = abs(rel_change) <= tol
-            
-            records.append({
-                'date': date,
-                'old_account': old_account,
-                'new_account': new_account,
-                'isin': isin,
-                'old_value': old_val,
-                'new_value': new_val,
-                'relative_change': rel_change,
-                'check': check
-            })
-    
-    return pd.DataFrame(records)
\ No newline at end of file
diff --git a/function.py b/function.py
deleted file mode 100644
index 09c341d..0000000
--- a/function.py
+++ /dev/null
@@ -1,103 +0,0 @@
-import matplotlib.pyplot as plt
-import pandas as pd
-
-
-def evolution_compte(df, id1, id = 'Registrar Account - ID'):
-    def prepare_df(idt):
-        df_id = df[df[id] == idt].copy()
-        df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])
-        df_agg = (
-            df_id
-            .groupby('Centralisation Date')['Quantity - AUM']
-            .sum()
-            .reset_index()
-            .sort_values('Centralisation Date')
-        )
-        return df_agg
-
-    df1 = prepare_df(id1)
-
-    plt.figure(figsize=(12, 6))
-
-    # Courbe du compte
-    plt.plot(df1['Centralisation Date'], df1['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id1}')
-
-    plt.title(f"Évolution AUM pour le compte {id1}")
-    plt.xlabel("Date")
-    plt.ylabel("Quantity - AUM")
-    plt.grid(True)
-    plt.legend()
-    plt.tight_layout()
-    plt.show()
-
-def evolution_2_comptes(df, id1, id2):
-    def prepare_df(id):
-        df_id = df[df['Registrar Account - ID'] == id].copy()
-        df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])
-        df_agg = (
-            df_id
-            .groupby('Centralisation Date')['Quantity - AUM']
-            .sum()
-            .reset_index()
-            .sort_values('Centralisation Date')
-        )
-        return df_agg
-
-    df1 = prepare_df(id1)
-    df2 = prepare_df(id2)
-
-    plt.figure(figsize=(12, 6))
-
-    # Courbe du premier compte
-    plt.plot(df1['Centralisation Date'], df1['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id1}')
-
-    # Courbe du second compte
-    plt.plot(df2['Centralisation Date'], df2['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id2}')
-
-    plt.title("Évolution des AUM pour deux comptes")
-    plt.xlabel("Date")
-    plt.ylabel("Quantity - AUM")
-    plt.grid(True)
-    plt.legend()           # <- important pour distinguer les comptes
-    plt.tight_layout()
-    plt.show()
-
-
-def evolution_3_comptes(df, id1, id2, id3):
-    def prepare_df(id):
-        df_id = df[df['Registrar Account - ID'] == id].copy()
-        df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])
-        df_agg = (
-            df_id
-            .groupby('Centralisation Date')['Quantity - AUM']
-            .sum()
-            .reset_index()
-            .sort_values('Centralisation Date')
-        )
-        return df_agg
-
-    df1 = prepare_df(id1)
-    df2 = prepare_df(id2)
-    df3 = prepare_df(id3)
-
-    plt.figure(figsize=(12, 6))
-
-    plt.plot(df1['Centralisation Date'], df1['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id1}')
-
-    plt.plot(df2['Centralisation Date'], df2['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id2}')
-
-    plt.plot(df3['Centralisation Date'], df3['Quantity - AUM'],
-             marker='.', linestyle='-', label=f'Account {id3}')
-
-    plt.title("Evolution of AUM for three accounts")
-    plt.xlabel("Date")
-    plt.ylabel("Quantity - AUM")
-    plt.grid(True)
-    plt.legend()
-    plt.tight_layout()
-    plt.show()
diff --git a/rupture.ipynb b/rupture.ipynb
deleted file mode 100644
index d8ff99f..0000000
--- a/rupture.ipynb
+++ /dev/null
@@ -1,1238 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "0ed82607-1bc0-48f2-829e-97df9052f8d9",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fichiers Flows : ['projet-bdc-data/carmignac/Flows ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/Flows ENSAE V2 -20251105.csv']\n",
-      "Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Données\n",
-    "\n",
-    "import os\n",
-    "import s3fs\n",
-    "import pandas as pd\n",
-    "\n",
-    "s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
-    "\n",
-    "fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
-    "\n",
-    "BUCKET = \"projet-bdc-data\"\n",
-    "carmignac_path = \"projet-bdc-data/carmignac\"\n",
-    "\n",
-    "# Liste des fichiers FLOWS\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "flows_files = [f for f in all_files if \"Flows\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers Flows :\", flows_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "flows_data = {}\n",
-    "for file_path in flows_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        flows_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "\n",
-    "# Liste des fichiers AUM\n",
-    "all_files = fs.ls(carmignac_path)\n",
-    "aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
-    "print(\"Fichiers AUM :\", aum_files)\n",
-    "\n",
-    "# Lire tous les fichiers dans un dictionnaire\n",
-    "aum_data = {}\n",
-    "for file_path in aum_files:\n",
-    "    with fs.open(file_path, 'r') as f:\n",
-    "        df = pd.read_csv(f, sep=';',low_memory=False)\n",
-    "        aum_data[os.path.basename(file_path)] = df\n",
-    "\n",
-    "df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
-    "dg = flows_data['Flows ENSAE V2 -20251105.csv']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "076209a7-f6b3-4b78-9179-e24ff38338e0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from detection_rupture import detect_ruptures"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 197,
-   "id": "14c59f0f-676b-4d76-878a-1176cadfc9b1",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import pandas as pd\n",
-    "\n",
-    "ruptures_df = detect_ruptures(df, 0.05)\n",
-    "\n",
-    "# Copier pour éviter les effets de bord\n",
-    "df_plot = ruptures_df.copy()\n",
-    "df_plot['date'] = pd.to_datetime(df_plot['date'])\n",
-    "\n",
-    "# Compter les ruptures par date\n",
-    "counts = df_plot.groupby('date').size().reset_index(name='rupture_count')\n",
-    "\n",
-    "plt.figure(figsize=(10, 5))\n",
-    "plt.plot(counts['date'], counts['rupture_count'], marker='.')\n",
-    "plt.xlabel(\"Date\")\n",
-    "plt.ylabel(\"Nombre de connexions\")\n",
-    "plt.title(\"Nombre de connexions détectées par date\")\n",
-    "plt.grid(True)\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 207,
-   "id": "611b4e6f-38dd-42db-93c6-970214ee89b2",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Nombre de ruptures détectées : 548\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>old_account</th>\n",
-       "      <th>new_account</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>406533</td>\n",
-       "      <td>200127202</td>\n",
-       "      <td>718444.2870</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2016-06-30</td>\n",
-       "      <td>402699</td>\n",
-       "      <td>200038850</td>\n",
-       "      <td>223734.2979</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2015-07-31</td>\n",
-       "      <td>402703</td>\n",
-       "      <td>200013353</td>\n",
-       "      <td>88886.7529</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>404813</td>\n",
-       "      <td>200127636</td>\n",
-       "      <td>160820.3092</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>2015-03-31</td>\n",
-       "      <td>406311</td>\n",
-       "      <td>200001401</td>\n",
-       "      <td>63268.8208</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        date old_account new_account        value\n",
-       "0 2019-12-31      406533   200127202  718444.2870\n",
-       "3 2016-06-30      402699   200038850  223734.2979\n",
-       "4 2015-07-31      402703   200013353   88886.7529\n",
-       "5 2019-12-31      404813   200127636  160820.3092\n",
-       "7 2015-03-31      406311   200001401   63268.8208"
-      ]
-     },
-     "execution_count": 207,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ruptures_df = detect_ruptures(df, 0.05)\n",
-    "\n",
-    "print(f\"Nombre de ruptures détectées : {len(ruptures_df)}\")\n",
-    "ruptures_df.head()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "b837e39e-5d54-45eb-ac1e-fbb59fad0134",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from function import evolution_2_comptes\n",
-    "\n",
-    "def comparaison(i):\n",
-    "    evolution_2_comptes(df, ruptures_df.iloc[i,1],ruptures_df.iloc[i,2])\n",
-    "\n",
-    "def rupture(compte_id, ruptures_df):\n",
-    "    \"\"\"\n",
-    "    Vérifie si un compte est impliqué dans une rupture.\n",
-    "    \n",
-    "    Args:\n",
-    "        compte_id (int ou str) : l'ID du compte à tester\n",
-    "        ruptures_df (DataFrame) : dataframe des ruptures avec colonnes 'old_account' et 'new_account'\n",
-    "        \n",
-    "    Returns:\n",
-    "        tuple : (dans_old, dans_new)\n",
-    "            - dans_old : True si le compte est dans old_account\n",
-    "            - dans_new : True si le compte est dans new_account\n",
-    "    \"\"\"\n",
-    "    dans_old = compte_id in ruptures_df['old_account'].values\n",
-    "    dans_new = compte_id in ruptures_df['new_account'].values\n",
-    "    return (dans_old, dans_new)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 190,
-   "id": "4d81bcc5-4b4b-41c7-82e1-a227745de250",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "comparaison(188)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 187,
-   "id": "9a11712a-2a33-4a24-99e6-2de42374dcec",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(True, False)"
-      ]
-     },
-     "execution_count": 187,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "rupture(\"200090312\", ruptures_df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 184,
-   "id": "e03329bd-7369-4bc4-b904-f7d9524bb345",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>old_account</th>\n",
-       "      <th>new_account</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>713</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>200090347</td>\n",
-       "      <td>200127306</td>\n",
-       "      <td>3.812176e+07</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          date old_account new_account         value\n",
-       "713 2019-12-31   200090347   200127306  3.812176e+07"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "from IPython.display import display\n",
-    "\n",
-    "# Afficher toutes les lignes et colonnes\n",
-    "pd.set_option('display.max_rows', None)\n",
-    "pd.set_option('display.max_columns', None)\n",
-    "pd.set_option('display.width', 1000)  # Largeur totale pour éviter les retours à la ligne\n",
-    "\n",
-    "# Affichage tabulaire joli\n",
-    "display(ruptures_df[ruptures_df['old_account'] == '200090347'])\n",
-    "#ruptures_df[ruptures_df[old_account] == '200097229']\n",
-    "# (Optionnel) remettre les options par défaut après affichage\n",
-    "pd.reset_option('display.max_rows')\n",
-    "pd.reset_option('display.max_columns')\n",
-    "pd.reset_option('display.width')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "54abac17-601b-459d-8f73-0f21f7eb8869",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_2_comptes(df,'200130818', '200130906')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "ed3cb5e9-7788-4a34-8b02-d6ca8196eac1",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'df' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
-      "\u001b[31mNameError\u001b[39m                                 Traceback (most recent call last)",
-      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[4]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m      1\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mfunction\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m evolution_3_comptes\n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m evolution_3_comptes(\u001b[43mdf\u001b[49m,\u001b[33m'\u001b[39m\u001b[33m200000491\u001b[39m\u001b[33m'\u001b[39m,\u001b[33m'\u001b[39m\u001b[33m200089970\u001b[39m\u001b[33m'\u001b[39m,\u001b[33m'\u001b[39m\u001b[33m200127376\u001b[39m\u001b[33m'\u001b[39m)\n",
-      "\u001b[31mNameError\u001b[39m: name 'df' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "from function import evolution_3_comptes\n",
-    "\n",
-    "evolution_3_comptes(df,'200000491','200089970','200127376')\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 243,
-   "id": "279c19a6-900f-485d-9526-be54b5381e4b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import pandas as pd\n",
-    "\n",
-    "def evolution_3_comptesa(df, id1, id2, id3, show_isin=False, max_isin=3):\n",
-    "\n",
-    "    def prepare_df(id):\n",
-    "        df_id = df[df['Registrar Account - ID'] == id].copy()\n",
-    "        df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])\n",
-    "        return df_id\n",
-    "\n",
-    "    plt.figure(figsize=(12, 6))\n",
-    "\n",
-    "    for acc_id in [id1, id2]:\n",
-    "        df_id = prepare_df(acc_id)\n",
-    "\n",
-    "        # ===== AUM TOTAL (comportement initial) =====\n",
-    "        df_total = (\n",
-    "            df_id\n",
-    "            .groupby('Centralisation Date')['Quantity - AUM']\n",
-    "            .sum()\n",
-    "            .reset_index()\n",
-    "            .sort_values('Centralisation Date')\n",
-    "        )\n",
-    "\n",
-    "        plt.plot(\n",
-    "            df_total['Centralisation Date'],\n",
-    "            df_total['Quantity - AUM'],\n",
-    "            marker='.',\n",
-    "            linestyle='--',\n",
-    "            linewidth=2,\n",
-    "            label=f'Account {acc_id}'\n",
-    "        )\n",
-    "\n",
-    "        # ===== ISIN-LEVEL (optionnel) =====\n",
-    "        if show_isin:\n",
-    "            top_isins = (\n",
-    "                df_id\n",
-    "                .groupby('Product - Isin')['Quantity - AUM']\n",
-    "                .sum()\n",
-    "                .sort_values(ascending=False)\n",
-    "                .head(max_isin)\n",
-    "                .index\n",
-    "            )\n",
-    "\n",
-    "            for isin in top_isins:\n",
-    "                df_isin = (\n",
-    "                    df_id[df_id['Product - Isin'] == isin]\n",
-    "                    .groupby('Centralisation Date')['Quantity - AUM']\n",
-    "                    .sum()\n",
-    "                    .reset_index()\n",
-    "                    .sort_values('Centralisation Date')\n",
-    "                )\n",
-    "\n",
-    "                plt.plot(\n",
-    "                    df_isin['Centralisation Date'],\n",
-    "                    df_isin['Quantity - AUM'],\n",
-    "                    linestyle='-',\n",
-    "                    alpha=1,\n",
-    "                    label=f'ISIN {isin}'  # <-- Ajout du label pour la légende\n",
-    "                )\n",
-    "\n",
-    "    plt.title(\"Évolution des AUM pour trois comptes\")\n",
-    "    plt.xlabel(\"Date\")\n",
-    "    plt.ylabel(\"Quantity - AUM\")\n",
-    "    plt.grid(True)\n",
-    "    plt.legend()\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 343,
-   "id": "3660f9f6-79a0-469a-a4a2-d936165d98ff",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "evolution_3_comptesa(df,'200090005','200127315','200127428',show_isin=True,max_isin=3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 248,
-   "id": "c2b78b7d-df39-4e14-ad0a-fa58eaa5738d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "def check_isin_continuity(df, rupture, tol=0.05):\n",
-    "    \"\"\"\n",
-    "    Vérifie que les ISIN évoluent continuellement entre old_account et new_account,\n",
-    "    en prenant pour l'ancien compte la valeur à la date précédente et pour le nouveau compte la valeur à la date de rupture.\n",
-    "    \n",
-    "    Args:\n",
-    "        df (pd.DataFrame): Table principale avec colonnes ['Registrar Account - ID', 'Product - Isin', 'Centralisation Date', 'Quantity - AUM']\n",
-    "        rupture (pd.DataFrame): Table avec colonnes ['date', 'old_account', 'new_account']\n",
-    "        tol (float): Tolérance relative maximale (ex: 0.05 = 5%)\n",
-    "        \n",
-    "    Returns:\n",
-    "        pd.DataFrame: Table avec colonnes supplémentaires :\n",
-    "                      'isin', 'old_value', 'new_value', 'relative_change', 'check'\n",
-    "    \"\"\"\n",
-    "    df['Centralisation Date'] = pd.to_datetime(df['Centralisation Date'])\n",
-    "    rupture['date'] = pd.to_datetime(rupture['date'])\n",
-    "    \n",
-    "    # Dictionnaire des dates disponibles par compte pour trouver la date précédente\n",
-    "    dates_by_account = df.groupby('Registrar Account - ID')['Centralisation Date'].unique().to_dict()\n",
-    "    \n",
-    "    records = []\n",
-    "    \n",
-    "    for _, row in rupture.iterrows():\n",
-    "        date = row['date']\n",
-    "        old_account = row['old_account']\n",
-    "        new_account = row['new_account']\n",
-    "        \n",
-    "        # Date précédente pour l'ancien compte\n",
-    "        past_dates = [d for d in dates_by_account.get(old_account, []) if d < date]\n",
-    "        if not past_dates:\n",
-    "            continue\n",
-    "        prev_date = max(past_dates)\n",
-    "        \n",
-    "        # Filtrer df pour old_account à date précédente et new_account à date de rupture\n",
-    "        df_old = df[(df['Registrar Account - ID'] == old_account) & \n",
-    "                    (df['Centralisation Date'] == prev_date)]\n",
-    "        df_new = df[(df['Registrar Account - ID'] == new_account) & \n",
-    "                    (df['Centralisation Date'] == date)]\n",
-    "        \n",
-    "        # Tous les ISIN concernés\n",
-    "        isins = set(df_old['Product - Isin']).union(df_new['Product - Isin'])\n",
-    "        \n",
-    "        for isin in isins:\n",
-    "            old_val = df_old[df_old['Product - Isin'] == isin]['Quantity - AUM'].sum()\n",
-    "            new_val = df_new[df_new['Product - Isin'] == isin]['Quantity - AUM'].sum()\n",
-    "            old = df_old['Quantity - AUM'].sum()\n",
-    "            \n",
-    "            if old_val == 0:\n",
-    "                rel_change = None\n",
-    "                check = True\n",
-    "            else:\n",
-    "                rel_change = (new_val - old_val) / old\n",
-    "                check = abs(rel_change) <= tol\n",
-    "            \n",
-    "            records.append({\n",
-    "                'date': date,\n",
-    "                'old_account': old_account,\n",
-    "                'new_account': new_account,\n",
-    "                'isin': isin,\n",
-    "                'old_value': old_val,\n",
-    "                'new_value': new_val,\n",
-    "                'relative_change': rel_change,\n",
-    "                'check': check\n",
-    "            })\n",
-    "    \n",
-    "    return pd.DataFrame(records)\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 250,
-   "id": "35a9cc07-ae6e-4178-8a43-2ec9506db50c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "result_ISIN = check_isin_continuity(df, ruptures_df, tol=0.05)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 232,
-   "id": "a146e317-7e3f-4c9c-a5e6-1d085ea02d34",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
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-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>date</th>\n",
-       "      <th>old_account</th>\n",
-       "      <th>new_account</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>63</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>200089971</td>\n",
-       "      <td>200127374</td>\n",
-       "      <td>1.004622e+06</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>64</th>\n",
-       "      <td>2018-07-31</td>\n",
-       "      <td>418587</td>\n",
-       "      <td>200089971</td>\n",
-       "      <td>1.045713e+06</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>65</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>200014222</td>\n",
-       "      <td>200127323</td>\n",
-       "      <td>1.498049e+07</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>68</th>\n",
-       "      <td>2019-12-31</td>\n",
-       "      <td>200000668</td>\n",
-       "      <td>200127167</td>\n",
-       "      <td>4.686255e+06</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>80</th>\n",
-       "      <td>2025-01-31</td>\n",
-       "      <td>200127359</td>\n",
-       "      <td>200139568</td>\n",
-       "      <td>2.241300e+07</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "         date old_account new_account         value\n",
-       "63 2019-12-31   200089971   200127374  1.004622e+06\n",
-       "64 2018-07-31      418587   200089971  1.045713e+06\n",
-       "65 2019-12-31   200014222   200127323  1.498049e+07\n",
-       "68 2019-12-31   200000668   200127167  4.686255e+06\n",
-       "80 2025-01-31   200127359   200139568  2.241300e+07"
-      ]
-     },
-     "execution_count": 232,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a = ruptures_df.iloc[30:35,]\n",
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 300,
-   "id": "f88fccc4-ae08-43ca-831c-874a8804a58b",
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-       "      <td>200126356</td>\n",
-       "      <td>200126649</td>\n",
-       "      <td>LU0992625243</td>\n",
-       "      <td>419.119</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>-1.000000</td>\n",
-       "      <td>False</td>\n",
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-       "      <th>4384</th>\n",
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-       "      <td>200126671</td>\n",
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-       "      <td>0.000</td>\n",
-       "      <td>-1.000000</td>\n",
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-       "      <td>200126473</td>\n",
-       "      <td>200127826</td>\n",
-       "      <td>LU0992630912</td>\n",
-       "      <td>495.630</td>\n",
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-       "      <td>200101638</td>\n",
-       "      <td>LU0992630243</td>\n",
-       "      <td>268.362</td>\n",
-       "      <td>293.685</td>\n",
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-       "      <td>False</td>\n",
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-       "      <th>4395</th>\n",
-       "      <td>2025-02-28</td>\n",
-       "      <td>200139432</td>\n",
-       "      <td>200142171</td>\n",
-       "      <td>LU1623763064</td>\n",
-       "      <td>415.742</td>\n",
-       "      <td>390.810</td>\n",
-       "      <td>-0.059970</td>\n",
-       "      <td>False</td>\n",
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-       "</table>\n",
-       "<p>192 rows × 8 columns</p>\n",
-       "</div>"
-      ],
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-       "           date old_account new_account          isin  old_value  new_value  \\\n",
-       "188  2018-02-28   200000491   200089970  FR0010135103  12678.000  13481.000   \n",
-       "273  2024-11-30   200127497   200139377  LU0592698954    390.694    516.545   \n",
-       "278  2020-03-31   200050278      422653  LU0992625839    848.114      0.000   \n",
-       "285  2020-03-31   200050278      422653  LU0992630599    841.974      0.000   \n",
-       "287  2020-03-31   200050278      422653  LU0992628858    273.202      0.000   \n",
-       "...         ...         ...         ...           ...        ...        ...   \n",
-       "4382 2019-08-31   200126356   200126649  LU0992625243    419.119      0.000   \n",
-       "4384 2019-08-31   200126356   200126671  LU0992625243    419.119      0.000   \n",
-       "4389 2020-02-29   200126473   200127826  LU0992630912    495.630      0.000   \n",
-       "4391 2020-03-31   200126869   200101638  LU0992630243    268.362    293.685   \n",
-       "4395 2025-02-28   200139432   200142171  LU1623763064    415.742    390.810   \n",
-       "\n",
-       "      relative_change  check  \n",
-       "188          0.063338  False  \n",
-       "273          0.070361  False  \n",
-       "278         -0.261335  False  \n",
-       "285         -0.259443  False  \n",
-       "287         -0.084184  False  \n",
-       "...               ...    ...  \n",
-       "4382        -1.000000  False  \n",
-       "4384        -1.000000  False  \n",
-       "4389        -1.000000  False  \n",
-       "4391         0.094361  False  \n",
-       "4395        -0.059970  False  \n",
-       "\n",
-       "[192 rows x 8 columns]"
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-     },
-     "execution_count": 300,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result_ISIN_false = result_ISIN[result_ISIN['check'] == False]\n",
-    "result_ISIN_false"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 301,
-   "id": "ad298caa-0fa1-47dd-b686-e7800046e0b9",
-   "metadata": {},
-   "outputs": [
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-      "text/plain": [
-       "          date old_account new_account          isin  old_value  new_value  \\\n",
-       "131 2019-12-31      418209   200127581  LU0164455502     3575.0     3450.0   \n",
-       "132 2019-12-31      418209   200127581  FR0010135103        0.0        0.0   \n",
-       "133 2019-12-31      418209   200127581  FR0010148981        0.0        0.0   \n",
-       "134 2019-12-31      418209   200127581  FR0010149302        0.0        0.0   \n",
-       "\n",
-       "     relative_change  check  \n",
-       "131        -0.034965   True  \n",
-       "132              NaN   True  \n",
-       "133              NaN   True  \n",
-       "134              NaN   True  "
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-     "execution_count": 301,
-     "metadata": {},
-     "output_type": "execute_result"
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-   ],
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-    "result_ISIN[result_ISIN['new_account'] == '200127581']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 302,
-   "id": "cd99ad4e-9bb3-4542-8cd9-14a799169988",
-   "metadata": {},
-   "outputs": [
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-       "      <td>2025-02-28</td>\n",
-       "      <td>200139432</td>\n",
-       "      <td>200142171</td>\n",
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-       "  </tbody>\n",
-       "</table>\n",
-       "<p>117 rows × 3 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           date old_account new_account\n",
-       "188  2018-02-28   200000491   200089970\n",
-       "273  2024-11-30   200127497   200139377\n",
-       "278  2020-03-31   200050278      422653\n",
-       "303  2020-03-31   200071859      415661\n",
-       "330  2020-10-31   200084492      414547\n",
-       "...         ...         ...         ...\n",
-       "4382 2019-08-31   200126356   200126649\n",
-       "4384 2019-08-31   200126356   200126671\n",
-       "4389 2020-02-29   200126473   200127826\n",
-       "4391 2020-03-31   200126869   200101638\n",
-       "4395 2025-02-28   200139432   200142171\n",
-       "\n",
-       "[117 rows x 3 columns]"
-      ]
-     },
-     "execution_count": 302,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results_ISIN_unique = result_ISIN_false.iloc[:, :3].drop_duplicates()\n",
-    "results_ISIN_unique"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 344,
-   "id": "e544f593-fecf-4c84-8784-1c70f40e408a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def comparaison2(i):\n",
-    "    evolution_3_comptesa(df,results_ISIN_unique.iloc[i,1],results_ISIN_unique.iloc[i,2],'200127428',show_isin=True,max_isin=3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 405,
-   "id": "344f2c72-1245-4f97-b0f8-2a5b864ae09b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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lNjaWnTt32stOnTrFd999l6Wut7f3VVcuy9SxY0fc3Nx46623HHpvzJ49m9jY2DyvEpeTbt26AfDWW285lF+5OpvFYqF379588803DivLZTpz5oz968zVDzO5ublRu3ZtDMPIsjra5ebPn0/VqlV57LHHuO+++xxezzzzDD4+Pg5D+MLDwzl+/DiLFy92aCclJYWPP/6YwMBAGjdunOP5QkNDefPNN5k2bRrNmzfPsd7VbNq0yT4vEMA///zD999/T+fOnbFYLFgsFjp37sz333/vMNwrOjqahQsX0qpVK/z8/OzxAKxfv95eLyEhgXnz5uUrtst5e3sTGxub6/pNmzYlMDCQ999/3z7sFWxzfu3bt++qz9/58+ezlGUmmS5v60o9e/bEbDYzefLkLEP9Mj8DRfW5uNy7777rsP32228D/352IPvPdVF8ZkRERK6HekqJiIhcp59++snem+lyt99+u0NPij59+vD2228zceJE6tWrZ58rKtPw4cP54IMPGDx4MDt27KBy5cp8/fXXbNiwgTfffBNfX98cY+jbty9jxozh3nvv5cknnyQxMZH33nuP2267zSFhAdCkSRNWrVrF66+/Trly5ahSpYrDhMuZypQpw9ixY5k0aRJdu3blnnvuYf/+/cyaNYtmzZo5TGp+PRo2bEi/fv2YNWsWsbGx3H777axevZqDBw9mqTt9+nTWrFlDixYtGDZsGLVr1+b8+fP89ttvrFq1yp6M6Ny5M0FBQdxxxx2ULVuWffv28c4779C9e/cc38eTJ0+yZs2aLBOuZ3J3d6dLly589dVXvPXWW7i6ujJ8+HA++eQT7r//fh5++GEaNWrEuXPnWLRoEbt37+bTTz/Fzc3tqtf/3//+N4/vmKO6devSpUsXnnzySdzd3Zk1axaAw5Crl156iYiICFq1asUTTzyBi4sLH3zwASkpKcyYMcNer3PnzlSqVImhQ4cyevRoLBYLn3zyCWXKlOHYsWPXFWeTJk1YtGgRTz/9NM2aNcPHx4e77747x/qurq688sorDBkyhDZt2tCvXz+io6OZOXMmlStXZtSoUTkeO3nyZNavX0/37t0JCQnh9OnTzJo1iwoVKth7uWWnWrVqvPDCC0yZMoU777yTXr164e7uzrZt2yhXrhzTpk0rss/F5Q4fPsw999xD165d2bRpE/Pnz6d///4Ow39z+lwX5mdGRETkujlp1T8REZGb3pw5cwwgx9flS7sbhm1J+YoVKxqA8dJLL2XbZnR0tDFkyBCjdOnShpubm1GvXr0s7RiGYQDGxIkTHcpWrlxp1K1b13BzczNq1KhhzJ8/376k/OX+/PNPo3Xr1oanp6cB2JeRz7yew4cPO9R/5513jJo1axqurq5G2bJljccff9y4cOGCQ502bdpku5z8oEGDjJCQkGyv9XJJSUnGk08+aZQqVcrw9vY27r77buOff/7J9jqjo6ONESNGGBUrVjRcXV2NoKAgo0OHDsaHH35or/PBBx8YrVu3NkqVKmW4u7sboaGhxujRo43Y2NgcY3jttdcMwFi9enWOdebOnWsAxvfff28vu3DhgjFq1CijSpUqhqurq+Hn52e0a9fO+Omnn7Icn3k/zpw5c9X3AzBGjBhx1TqX15s/f75RvXp1w93d3WjUqJGxZs2aLHV/++03o0uXLoaPj4/h5eVltGvXzti4cWOWejt27DBatGhhuLm5GZUqVTJef/31bJ+NkJAQo3v37teMMVN8fLzRv39/IyAgwADsz8WaNWsMwPjqq6+yPW7RokVGo0aNDHd3d6NkyZLGgAEDjOPHjzvUufI5X716tdGjRw+jXLlyhpubm1GuXDmjX79+xoEDB3IV6yeffGI/Z4kSJYw2bdoYERERDnWu53OR03t35X3PvK69e/ca9913n+Hr62uUKFHCGDlypJGUlORwbE6fa8MovM+MiIjI9TIZRgHNPioiIiIiRcpkMjFixAjeeecdZ4ciheDFF19k0qRJnDlzJsscZyIiIsWB5pQSEREREREREZEip6SUiIiIiIiIiIgUOSWlRERERERERESkyGlOKRERERERERERKXLqKSUiIiIiIiIiIkVOSSkRERERERERESlySkqJiIiIiIiIiEiRc3F2ADcCq9XKyZMn8fX1xWQyOTscEREREREREZGblmEYXLx4kXLlymE259wfSkkp4OTJk1SsWNHZYYiIiIiIiIiIFBv//PMPFSpUyHG/klKAr68vYHuz/Pz8nByNXK+0tDRWrlxJ586dcXV1dXY4UsR0/yWTnoVbm+6/gJ4D0TMgNnoObm26/84RFxdHxYoV7fmWnCgpBfYhe35+fkpKFQNpaWl4eXnh5+enbzq3IN1/yaRn4dam+y+g50D0DIiNnoNbm+6/c11riiRNdC4iIiIiIiIiIkVOSSkRERERERERESlySkqJiIiIiIiIiEiR05xSIiIiIiIiIgXEarWSmprq7DDkkrS0NFxcXEhOTiYjI8PZ4RQbrq6uWCyW625HSSkRERERERGRApCamsrhw4exWq3ODkUuMQyDoKAg/vnnn2tOui15ExAQQFBQ0HW9r0pKiYiIiIiIiFwnwzA4deoUFouFihUrYjZrtpwbgdVqJT4+Hh8fH92TAmIYBomJiZw+fRqA4ODgfLelpJSIiIiIiIjIdUpPTycxMZFy5crh5eXl7HDkkszhlB4eHkpKFSBPT08ATp8+TWBgYL6H8umOiIiIiIiIiFynzPmK3NzcnByJSNHITL6mpaXluw0lpUREREREREQKiOYtkltFQTzrSkqJiIiIiIiIiEiRU1JKRERERERE5Ba3adMmLBYL3bt3d3Yo+bJ27VpMJhMxMTHXrNejRw+Cg4Px9vamYcOGLFiwIEu9r776ipo1a+Lh4UG9evVYtmyZw37DMJgwYQLBwcF4enrSsWNH/vrrL4c658+fZ8CAAfj5+REQEMDQoUOJj493qLNixQpatmyJr68vZcqUoXfv3hw5ciRLzI0bN8bd3Z1q1aoxd+7cLPG+++67VK5cGQ8PD1q0aMHWrVuz1Nm0aRPt27fH29sbPz8/WrduTVJSkn3/gQMH6NGjB6VLl8bPz49WrVqxZs2aq76f10tJKREREREREZFb3OzZs/nPf/7D+vXrOXnypLPDKTQbN26kfv36fPPNN+zcuZMhQ4YwcOBAlixZ4lCnX79+DB06lN9//52ePXvSs2dPdu/eba8zY8YM3nrrLd5//322bNmCt7c3Xbp0ITk52V5nwIAB7Nmzh4iICJYsWcL69esZPny4ff/hw4fp0aMH7du3JzIykhUrVnD27Fl69erlUKd79+60a9eOyMhInnrqKR555BFWrFhhr7No0SKefvppJk6cyG+//UaDBg3o0qWLfXU8sCWkunbtSufOndm6dSvbtm1j5MiRDpO/33XXXaSnp/Pzzz+zY8cOGjRowF133UVUVFTB3YArGWLExsYagBEbG+vsUKQApKamGosXLzZSU1OdHYo4ge6/ZNKzcGvT/RfD0HMgegbEpqieg6SkJGPv3r1GUlLSdbd1MibR2HDwjHEyJrEAIru2ixcvGj4+Psaff/5p9OnTx5g6dWqWOj/88IPRtGlTw93d3ShVqpTRs2dP+77k5GTj2WefNSpUqGC4ubkZoaGhxscff2zfv3btWqNZs2aGm5ubERQUZIwZM8ZIS0uz7w8JCTHeeOMNh/M1aNDAmDhxon0bMD766COjZ8+ehqenp1GtWjXj+++/NwzDMA4fPmwADq9BgwYZhmEYGRkZxoULF4yMjIwcrz88PNwYMmSIffuBBx4wunfv7lCnRYsWxqOPPmoYhmFYrVYjKCjI+L//+z/7/piYGMPd3d34/PPPDcMwjL179xqAsW3bNnudn376yTCZTMaJEycMwzCMr776ynBxcXGI7YcffjBMJpP9eX322WeNOnXqOMTSp08fo0uXLvbt5s2bGyNGjLBvZ2RkGOXKlTOmTZvmEP+4ceNyfA/OnDljAMb69evtZXFxcQZgREREZHvM1Z753OZZ1FNKRERERERE5AaxaNsx7pj+M/0/2sId039m0bZjhX7OL7/8kpo1a1KjRg0efPBBPvnkEwzDsO9funQp9957L+Hh4fz++++sXr2a5s2b2/cPHDiQzz//nLfeeot9+/bxwQcf4OPjA8CJEycIDw+nWbNm/PHHH7z33nvMnj2bl156Kc9xTpo0iQceeICdO3cSHh7OgAEDOH/+PBUrVuSbb74BYP/+/Zw6dYqZM2fmut3Y2FhKlixp3960aRMdO3Z0qNOlSxc2bdoE2HovRUVFOdTx9/enRYsW9jqbNm0iICCApk2b2ut07NgRs9nMli1bAGjSpAlms5k5c+aQkZFBbGwsn332GR07dsTV1TVXsaSmprJjxw6HOmazmY4dO9rrnD59mi1bthAYGMjtt99O2bJladOmDb/++qv9mFKlSlGjRg0+/fRTEhISSE9P54MPPiAwMJAmTZrk+r3MK5dCa1lERERERETkFvfxL3/z8S+Hr1mvbnk/pvSsy9hvd2G9lA+yGjDmm128uuIAFnPOK509cmcVHrmzar5jnD17Ng8++CAAXbt2JTY2lnXr1tG2bVsApk6dSt++fZk0aZL9mAYNGgC2eYi+/PJLIiIi7ImRqlX/jWXWrFlUrFiRd955B5PJRM2aNTl58iRjxoxhwoQJDsPHrmXw4MH069cPgJdffpm33nqLrVu30rVrV3tSKTAwkICAgFy3+eWXX7Jt2zY++OADe1lUVBRly5Z1qFe2bFn7MLbMf69VJzAw0GG/i4sLJUuWtNepUqUKK1eu5IEHHuDRRx8lIyODsLAwh/mrcoolLi6OpKQkLly4QEZGRrZ1/vzzTwD+/vtvAF588UVeffVVGjZsyKeffkqHDh3YvXs31atXx2QysWrVKnr27Imvry9ms5nAwECWL19OiRIlcv1+5pV6SomIiIiIiIgUkovJ6UTFJV/zdS4hlcNnE+wJqcudiU+56rEXk9PzHd/+/fvZunWrPdnj4uJCnz59mD17tr1OZGQkHTp0yPb4yMhILBYLbdq0yXb/vn37CAsLw2T6N6l2xx13EB8fz/Hjx/MUa/369e1fZ07Wffm8SXm1Zs0ahgwZwkcffUSdOnXy3U5+RUVFMWzYMAYNGsS2bdtYt24dbm5u3HfffQ491a6X1WoF4NFHH2XIkCE0atSIN954gxo1avDJJ58AtonbR4wYQWBgIL/88gtbt26lZ8+e3H333Zw6darAYrmSekqJiIiIiIiIFBJfDxeC/DyuWa+UtxtVSntjNpElMVXGx/2qPaV8PfL/q/3s2bNJT0+nXLly9jLDMHB3d+edd97B398fT0/PHI+/2r7cMpvNWZIwaWlpWeplDmnLZDKZ7AmXvFq3bh133303b7zxBgMHDnTYFxQURHR0tENZdHQ0QUFB9v2ZZcHBwQ51GjZsaK9zZcIsPT2d8+fP249/99138ff3Z8aMGfY68+fPp2LFimzZsoWWLVvmGIufnx+enp5YLBYsFstV482MsXbt2g51atWqxbFjtuGhP//8M0uWLOHChQv4+fkBtl5uERERzJs3j+eeey7H9/J6KClVjJyKTeLw2QSqlPYm2P/6vzEUZruFGevBqDhiUgqsSXu7hRGviIiIiIgUb4/cWTVPQ+um9arH89/uJsMwsJhMvNyrLn2aVSqU2NLT0/n000957bXX6Ny5s8O+nj178vnnn/PYY49Rv359Vq9ezZAhQ7K0Ua9ePaxWK+vWrcsy9xHYEh/ffPMNhmHYe0tt2LABX19fKlSoAECZMmUceuPExcVx+PC1hzxezs3NDYCMjIxr1l27di133XUXr7zyisNqeJnCwsJYvXo1Tz31lL0sIiKCsLAwwDbsLigoiNWrV9uTUHFxcWzZsoXHH3/c3kZMTAw7duywz8n0888/Y7VaadGiBQCJiYlZhi9aLBbg395NVw7nuzIWNzc3mjRpwurVq+nZs6f92NWrVzNy5EgAKleuTLly5di/f79DOwcOHKBbt272WIAs8ZjN5nwn/nJDSaliYtG2Y6xc/ClluADYMul+V8mW1yrnR6tqpR3KZv96GOsVKfm45HTOxP+b4Snj4859TcoTUsrbXnYyJomlO3PXnW/IHVX4/Z8LfPvbCQzABJS+RqwAQf6e3N0g2KHs299OcO6y2BxjNXjr0Gb8PFxpVqUkDSsG2OslpmawYPPRXMXbs1F5jpxL4NvfThBreBFhNOOlXg0L7YeCiIiIiIjc2vo0q0Tr28pw5GwilUt7FeofxTN7xgwdOhR/f3+Hfb1792b27Nk89thjTJw4kQ4dOhAaGkrfvn1JT09n2bJljBkzhsqVKzNo0CAefvhh3nrrLRo0aMDRo0c5ffo0DzzwAE888QRvvvkm//nPfxg5ciT79+9n4sSJPP300/YESPv27Zk7dy533303AQEBTJgwwZ6cya2QkBBMJhNLliwhPDwcT09P+2Trl1uzZg133XUX//3vf+ndu7d9fic3Nzf7vFT//e9/adOmDa+99hrdu3fniy++YPv27Xz44YeArYfWU089xUsvvUT16tWpUqUK48ePp1y5cvbEUK1atejatSvDhg3j/fffJy0tjZEjR9K3b197r7Tu3bvzxhtvMHnyZPr168fFixd5/vnnCQkJoVGjRgA89thjvPPOOzz77LM8/PDD/Pzzz3z55ZcsXbrUfk1PP/00gwYNomnTpjRv3pw333yThIQEexLRZDIxevRoJk6cSIMGDWjYsCHz5s3jzz//5OuvvwZsya8SJUowaNAgJkyYgKenJx999BGHDx+me/fueboXeaGkVDFwKjaJsd/u4jOXZdxh2WMrTLn0ykkssM+xaGhOdS/vIZkCbHTcXQ4Ylttgl0EzoNmVbV6rZ1MscMWiE72yq5ddu5GXXpd4kYd410IZ/o13bNpQnv/Whda3lVGPKRERERERKRTB/p5F8vvG7Nmz6dixY5aEFNiSUjNmzGDnzp20bduWr776iilTpjB9+nT8/Pxo3bq1ve57773H888/zxNPPMG5c+eoVKkSzz//PADly5dn2bJljB49mgYNGlCyZEmGDh3KuHHj7MePHTuWw4cPc9ddd+Hv78+UKVPy3FOqfPnyTJo0ieeee44hQ4YwcOBA5s6dm6XevHnzSExMZNq0aUybNs1e3qZNG9auXQvA7bffzsKFCxk3bhzPP/881atXZ/HixdStW9de/9lnnyUhIYHhw4cTExNDq1atWL58OR4e/w7VXLBgASNHjqRDhw6YzWZ69+7NW2+9Zd/fvn17Fi5cyIwZM5gxYwZeXl6EhYWxfPly+7DIKlWqsHTpUkaNGsXMmTOpUKECH3/8MV26dLG306dPH86cOcOECROIioqiYcOGLF++3GHy86eeeork5GRGjRrF+fPnadCgAREREYSGhgJQunRpli9fzgsvvED79u1JS0ujTp06fP/99/ZJ7QuDySjI2bNuUnFxcfj7+xMbG2sfO3kz2XjoLP0/2sIol6+oZcrdcqEVS3hRK9jxWlfti8aai8ehWqAPVUv/m3E+n5DK9qPnc3XexiEl+O3ohVzVvVwJLzeaVS7pULbp73NcTM46zvhKV8abmpHB2v1ncnXeWsF+7DsVR5DpPPXNh1mfUY+BaWP5fFhLwkJL5e0ipEikpaWxbNkywsPDs4w5l1uLnoVbm+6/gJ4D0TMgNkX1HCQnJ3P48GGqVKnikJgQ57JarcTFxeHn55enlf7k2q72zOc2z6KeUsVA5mR4b6Tfby8zm+Dn/7UlyD/7b4ZmkwlcHD+QrdIcx95GxSbT/rW1DpPsmU2w/sF2UMLLXuZvNWidkbsxpucTUnjslTVZ2rxarAAmE+Di2H2z0WXx5hTrz/9rS/kSnmD591pdDYPW6bmL91x8Co/NWEMIp1jj/j9amvfia7J1oxURERERERGR/FOasBgI9vdkWq96WC5NGmcxmZjWqx6VS3vj4WrJ9uXmkvXWX1mncmnvbNutUMIxIWMxm3I8z5WvcgFeeY7Vw9WCu0vW8cRXi9WEwUs9alO5tDeuFsdrNZlyH2/5ErZ4jxLMIWswbqYM+pb8S0P3RERERERERK6TekoVE4U1GV5htFvYsR6KjuNQ5Gbub1KhwNptVa00ETObEcoP1L24gaTUDDzd8jbxnoiIiIiIiIj8S0mpYqSwJsMrjHYLM9bSXi6c23ftunlRvoQXyaFd4NAPtDZFsuFAFB3rli/Yk4iIiIiIiIjcQjR8TySXqjduz3nDhxKmeA79ttrZ4YiIiIiIiIjc1JSUEsmlO24ry3qjMQBehyOwWm/5hStFRERERERE8k1JKZFc8nC1cDKoHQC3Z2zjj+Mxzg1IRERERERE5CampJRIHpRt1I0Uw4VQ8yl++22bs8MRERERERERuWkpKSWSB63rVmWzURsA489lTo5GRERERERE5OalpJRIHpTxdeeA/50A3OUeqXmlRERERERERPJJSSmRPBoy5DEAguL+wJx03snRiIiIiIiI5N/gwYPp2bOnffvMmTM8/vjjVKpUCXd3d4KCgujSpQsbNmyw16lcuTJvvvmmw7bJZGLz5s0ObT/11FO0bds2x3MfOXIEk8lEZGRkln1r167FZDIRExOTZd+V5586dSq33347Xl5eBAQEZKm/a9cu+vfvT8WKFfH09KRWrVrMnDkzS713332XWrVq4enpSY0aNfj0008d9qelpTF58mRCQ0Px8PCgQYMGLF++3KHOe++9R/369fHz88PPz4+wsDB++uknhzrJycmMGDGCUqVK4ePjQ+/evYmOjnaoYzKZsry++OIL+/7BgwdnW6dOnTr2OhkZGYwfP54qVarg6elJaGgoU6ZMwTAcO1fs27ePe+65B39/f7y9vWnWrBnHjh3L8v4UBpciOYtIMeJSshIE1YOoXfDXSmjYz9khiYiIiIiIFIjevXuTmprKvHnzqFq1KtHR0axevZpz585d9TgPDw/GjBnDunXriijSf6WmpnL//fcTFhbG7Nmzs+z/448/CAwMZP78+VSsWJGNGzcyfPhwLBYLI0eOBGzJpLFjx/LRRx/RrFkztm7dyrBhwyhRogR33303AOPGjWP+/Pl89NFH1KxZkxUrVnDvvfeyceNGGjVqBECFChWYPn061atXxzAM5s2bR48ePfj999/tCaNRo0axdOlSvvrqK/z9/Rk5ciS9evVySPwBzJkzh65du9q3L0+4zZw5k+nTp9u309PTadCgAffff7+97JVXXuG9995j3rx51KlTh+3btzNkyBD8/f158sknATh06BCtWrVi6NChTJo0CT8/P/bs2YOHh8f13JJcU1JKJD9qhNuSUvuXKSklIiIiIiLFQkxMDL/88gtr166lTZs2AISEhNC8efNrHjt8+HDef/99li1bRnh4eGGH6mDSpEkAzJ07N9v9Dz74IH5+fpjNtsFiVatWZdOmTXz77bf2pNRnn33Go48+Sp8+fex1tm3bxiuvvGJPSn322We88MIL9ut7/PHHWbVqFa+99hrz588HsNfNNHXqVN577z02b95MnTp1iI2NZfbs2SxcuJD27dsDtuRTrVq12Lx5My1btrQfGxAQQFBQULbX5O/vj7+/v3178eLFXLhwgSFDhtjLNm7cSI8ePejevTtg62H2+eefs3XrVnudzOuZMWOGvSw0NDTbcxYGDd8TyY8a3QDIOLiaP4+fcXIwIiIiIiJywzEMSE1wzsvI39y3Pj4++Pj4sHjxYlJSUvJ0bJUqVXjssccYO3YsVqs1X+cvSrGxsZQsWdK+nZKSkqV3kKenJ1u3biUtLe2qdX799ddsz5GRkcEXX3xBQkICYWFhAOzYsYO0tDQ6duxor1ezZk0qVarEpk2bHI4fMWIEpUuXpnnz5nzyySdZht1dbvbs2XTs2JGQkBB72e23387q1as5cOAAYOsx9uuvv9Ktm+33WavVytKlS7ntttvo0qULgYGBtGjRgsWLF+d4noKmnlIi+XDQUg0/ShKYdp41y7+l5iOPOjskERERERG5kaQlwsvlnHPu50+Cm3eeD3NxcWHu3LkMGzaM999/n8aNG9OmTRv69u1L/fr1r3n8uHHjmDNnDgsWLOChhx7KT+RFYuPGjSxatIilS5fay7p06cLHH39Mz549ady4MTt27ODjjz8mLS2Ns2fPEhwcTJcuXXj99ddp3bo1oaGhrF69mm+//ZaMjAyH9nft2kVYWBjJycn4+Pjw3XffUbu2bRX3qKgo3Nzcssx9VbZsWaKiouzbkydPpn379nh5ebFy5UqeeOIJ4uPj7cPuLnfy5El++uknFi5c6FD+3HPPERcXR82aNbFYLGRkZDB16lQGDBgAwOnTp4mPj2f69Om89NJLvPLKKyxfvpxevXqxZs0ae2+5wqSeUiL5EFLam7U0BqDE8VWkZdz4fwkQERERERG5lt69e3Py5El++OEHunbtytq1a2ncuHGOQ+MuV6ZMGZ555hkmTJhAampq4QebD7t376ZHjx5MnDiRzp0728vHjx9Pt27daNmyJa6urvTo0YNBgwYB2If9zZw5k+rVq1OzZk3c3NwYOXIkQ4YMse/PVKNGDSIjI9myZQuPP/44gwYNYu/evXmKc/z48dxxxx00atSIMWPG8Oyzz/J///d/2dadN28eAQEBDhPWA3z55ZcsWLCAhQsX8ttvvzFv3jxeffVV5s2bB2Dv0dajRw9GjRpFw4YNee6557jrrrt4//338xRvfqmnlEg+uFrMnC3XAU6u4k5jB9sPnyesWmlnhyUiIiIiIjcKVy9bjyVnnfs6eHh40KlTJzp16sT48eN55JFHmDhxIoMHD77msU8//TSzZs1i1qxZ1xWDn58fYBtmd2WvopiYGIf5lHJr7969dOjQgeHDhzNu3DiHfZ6ennzyySd88MEHREdHExwczIcffoivry9lypQBbEm3xYsXk5yczLlz5yhXrhzPPfccVatWdWjLzc2NatWqAdCkSRO2bdvGzJkz+eCDDwgKCiI1NZWYmBiH64qOjs5x/iiAFi1aMGXKFFJSUnB3d7eXG4bBJ598wkMPPYSbm5vDMaNHj+a5556jb9++ANSrV4+jR48ybdo0Bg0aROnSpXFxcbH34spUq1atHIckFjT1lBLJp4pNupJouFPedI5dvxXNB1ZERERERG4SJpNtCJ0zXiZTgV5K7dq1SUhIyFVdHx8fxo8fz9SpU7l48WK+z1m9enXMZjM7duxwKP/777+JjY3ltttuy1N7e/bsoV27dgwaNIipU6fmWM/V1ZUKFSpgsVj44osvuOuuu7L0hPLw8KB8+fKkp6fzzTff0KNHj6ue22q12ufoatKkCa6urqxevdq+f//+/Rw7dsw+71R2IiMjKVGihENCCmDdunUcPHiQoUOHZjkmMTExS+wWi8XeQ8rNzY1mzZqxf/9+hzoHDhxwmJuqMKmnlEg+ta5VkV+/r0dn03Zc/lqOYfTAVMDf/EVERERERIrKuXPnuP/++3n44YepX78+vr6+bN++nRkzZlwz8XK54cOH88Ybb7Bw4UJatGhxzfpXJkUA6tSpwyOPPML//vc/XFxcqFevHv/88w9jxoyhZcuW3H777fa6x44d4/z58xw7doyMjAwiIyMBqFatGl5eXuzdu5eePXvSpUsXnn76afvcTRaLxd4L6sCBA2zdupUWLVpw4cIFXn/9dXbv3m0f6gawZcsWTpw4QcOGDTlx4gQvvvgiVquVZ5991l5n7NixdOvWjUqVKnHx4kUWLlzI2rVrWbFiBWBbNW/o0KE8/fTTlCxZEj8/P/7zn/8QFhZmX3nvxx9/JDo6mpYtW+Lh4UFERAQvv/wyzzzzTJb3afbs2bRo0YK6detm2Xf33XczdepUKlWqRJ06dfj99995/fXXefjhh+11Ro8eTZ8+fWjdujXt2rVj+fLl/Pjjj6xdu/aa960gKCklkk/+Xq78XbI1xGynacpmDp2Jp1qgr7PDEhERERERyRcfHx9atGjBG2+8waFDh0hLS6NixYoMGzaM559/PtftuLq6MmXKFPr375+r+pnDyy73zz//MHPmTKZPn86YMWM4evQoQUFBdOrUialTpzp0CJgwYYJD8qhRo0YArFmzhtatW/PDDz9w5swZ5s+fz/z58+31QkJCOHLkCGBbKe+1115j//79uLq60q5dOzZu3EjlypXt9ZOTkxk3bhx///03Pj4+hIeH89lnnzkMwzt9+jQDBw7k1KlT+Pv7U79+fVasWEGnTp3sdd544w3MZjO9e/cmJSWFLl26OAx3dHV15d1332XUqFEYhkG1atV4/fXXGTZsmMN7FBsbyzfffMPMmTOzfV/ffvttxo8fzxNPPMHp06cpV64cjz76KBMmTLDXuffee3n//feZNm0aTz75JDVq1OCbb76hVatW2bZZ0EzG1dYUvEXExcXh7+9PbGysfdyq3LzS0tJYtmwZ4eHhuLq6Fuq5Fvy8g37rOmA2GXwatpyBXXLubilFoyjvv9zY9Czc2nT/BfQciJ4BsSmq5yA5OZnDhw9TpUoVPDw8Cu08kjdWq5W4uDj8/PyyDGWT63O1Zz63eRan3pH33nuP+vXr4+fnh5+fH2FhYfz000/2/W3btsVkMjm8HnvsMYc2jh07Rvfu3fHy8iIwMJDRo0eTnp5e1Jcit6hWDWryu2GbwC5p99Jr1BYRERERERGRTE4dvlehQgWmT59O9erVMQyDefPm0aNHD37//Xfq1KkDwLBhw5g8ebL9GC+vf1cRyMjIoHv37gQFBbFx40ZOnTrFwIEDcXV15eWXXy7y65FbT0gpbyI8w2iS8hfVY37hXHwKpXzcr32giIiIiIiIyC3OqT2l7r77bsLDw6levTq33XYbU6dOxcfHh82bN9vreHl5ERQUZH9d3u1r5cqV7N27l/nz59OwYUO6devGlClTePfdd0lNTXXGJcmtqEY3AO502UtyYv5XlxARERERERG5ldwwE51nZGTw1VdfkZCQ4LAM4oIFC5g/fz5BQUHcfffdjB8/3t5batOmTdSrV4+yZcva63fp0oXHH3+cPXv22Cc3u1JKSop9OUawjXUE21jjtLS0wrg8KUKZ97Co7uV9ndpiPVYZ15gjlD29gbQS4UVyXsleUd9/uXHpWbi16f4L6DkQPQNiU1TPQVpaGoZhYLVasVqthXouyb3MabQz740UHKvVimEYpKWlYbFYHPbl9vPm9KTUrl27CAsLIzk5GR8fH7777jtq164NQP/+/QkJCaFcuXLs3LmTMWPGsH//fr799lsAoqKiHBJSgH07c4nH7EybNo1JkyZlKV+5cqXD8EC5uUVERBTZueq61iCUI5z4+SMiDxXZaeUqivL+y41Nz8KtTfdfQM+B6BkQm8J+DlxcXAgKCiI+Pl4jd25AFy9qVEtBS01NJSkpifXr12eZ2zsxMTFXbTg9KVWjRg0iIyOJjY3l66+/ZtCgQaxbt47atWszfPhwe7169eoRHBxMhw4dOHToEKGhofk+59ixY3n66aft23FxcVSsWJHOnTtr9b1iIC0tjYiICDp16lRkq6yYjvjCghVUSt5Hua5dwGy59kFSKJxx/+XGpGfh1qb7L6DnQPQMiE1RPQfJycn8888/+Pj4aPW9G4hhGFy8eBFfX19MJpOzwylWkpOT8fT0pHXr1tmuvpcbTk9Kubm5Ua2abfWyJk2asG3bNmbOnMkHH3yQpW6LFi0AOHjwIKGhoQQFBbF161aHOtHR0QAEBQXleE53d3fc3bNORu3q6qofVsVIkd7PqneChz+mxLMc3b2Bak06FM15JUf6PEsmPQu3Nt1/AT0HomdAbAr7OcjIyMBkMmE2mzGbnTp9s1wmc8he5r2RgmM2mzGZTNl+tnL7Wbvh7ojVanWY7+lykZGRAAQHBwMQFhbGrl27OH36tL1OREQEfn5+9iGAIkXBMLuw2dIYgA1LP7OPWxYRERERERGR7Dm1p9TYsWPp1q0blSpV4uLFiyxcuJC1a9eyYsUKDh06xMKFCwkPD6dUqVLs3LmTUaNG0bp1a+rXrw9A586dqV27Ng899BAzZswgKiqKcePGMWLEiGx7QokUFpPJxO+eYbRMWENY+lZ2n4ijXgV/Z4clIiIiIiIicsNyak+p06dPM3DgQGrUqEGHDh3Ytm0bK1asoFOnTri5ubFq1So6d+5MzZo1+d///kfv3r358ccf7cdbLBaWLFmCxWIhLCyMBx98kIEDBzJ58mQnXpXcqko2CCfNsHCb+QTbftvh7HBEREREREREbmhOTUrNnj2bI0eOkJKSwunTp1m1ahWdOnUCoGLFiqxbt45z586RnJzMX3/9xYwZM7JMRB4SEsKyZctITEzkzJkzvPrqq7i4OH2qLLkFta5fjS3WmgCk/7nMydGIiIiIiIhc2+DBg+nZs6d9+8yZMzz++ONUqlQJd3d3goKC6NKlCxs2bLDXqVy5Mm+++abDtslkYvPmzQ5tP/XUU7Rt2zbHcx85cgSTyWSfqudya9euxWQyERMTk2Xflec/f/48AwYMwM/Pj4CAAIYOHUp8fLzDMStWrKBly5b4+vpSpkwZevfuzZEjR7Kcs3Hjxri7u1OtWjXmzp2b5bwmkynLa8SIEQ71Nm3aRPv27fH29sbPz4/WrVuTlJRk3//bb7/RqVMnAgICKFWqFMOHD88S77Fjx+jevTteXl4EBgYyevToLCvcXSvejIwMxo8fT5UqVfD09CQ0NJQpU6Y4TDczePDgLNfTtWvXLO95Ybnh5pQSuVkF+3uy1/cOAOpe3MDJmKRrHCEiIiIiInJj6d27N7///jvz5s3jwIED/PDDD7Rt25Zz585d9TgPDw/GjBlTRFE6GjBgAHv27CEiIoIlS5awfv16hg8fbt9/9OhR7r33Xtq3b09kZCQrVqzg7Nmz9OrVy17n8OHDdO/enXbt2hEZGclTTz3FI488wooVK+x1tm3bxqlTp+yviIgIAO6//357nU2bNtG1a1c6d+7M1q1b2bZtGyNHjrRPsn7y5Ek6duxItWrV2LJlC8uXL2fPnj0MHjzY3kZGRgbdu3cnNTWVjRs3Mm/ePObOncuECRPyFO8rr7zCe++9xzvvvMO+fft45ZVXmDFjBm+//bbD+9e1a1eH6/r888+v847knroUiRQgl9rdYPuHNDf/yTe7DtLnznrODklERERERCRXYmJi+OWXX1i7di1t2rQBbKOTmjdvfs1jhw8fzvvvv8+yZcsIDw8v7FDt9u3bx/Lly9m2bRtNmzYF4O233yY8PJxXX32VoKAgIiMjycjI4KWXXrInh5555hl69OhBWloarq6uvP/++1SpUoXXXnsNgFq1avHrr7/yxhtv0KVLFwDKlCnjcO7p06cTGhpqf68ARo0axZNPPslzzz1nL6tRo4b96yVLluDq6sq7775rj+X999+nfv36HDx4kGrVqrFy5Ur27t3LqlWrKFu2LA0bNmTKlCmMGTOGF198ETc3t1zFu3HjRnr06EH37t0BW0+vzz//nK1btzpcR2aPOGdQTymRAtS8URP+tFbExWTlfORSZ4cjIiIiIiJOYhgGiWmJTnnldzVwHx8ffHx8WLx4MSkpKXk6tkqVKjz22GOMHTsWq9War/Pnx6ZNmwgICLAnpAA6duyI2Wxmy5YtADRs2BCz2cycOXPIyMggNjaWzz77jI4dO+Lq6mpvp2PHjg5td+nShU2bNmV73tTUVObPn8/DDz+MyWQCbPNmb9myhcDAQG6//XbKli1LmzZt+PXXX+3HpaSk4ObmZk9IAXh6egLY623atIl69epRtmxZh1ji4uLYs2dPruO9/fbbWb16NQcOHADgjz/+4Ndff6Vbt24Ox61du5bAwEBq1KjB448/fs1ecQVJPaVEClCdcn586tqMmhn/UPHMOuJTnsHHXR8zEREREZFbTVJ6Ei0WtnDKubf034KXq1eej3NxcWHu3LkMGzaM999/n8aNG9OmTRv69u1L/fr1r3n8uHHjmDNnDgsWLOChhx7KT+h5FhUVRWBgoEOZi4sLJUuWJCoqCrD19lq+fDl9+/bl0UcfJSMjg7CwMJYtW+bQzuVJIICyZcsSFxdHUlKSPXGUafHixcTExDgMu/v7778BePHFF3n11Vdp2LAhn376KR06dGD37t1Ur16d9u3b8/TTT/N///d//Pe//yUhIcHeq+rUqVNXjSVzX27jfe6554iLi6NmzZpYLBYyMjKYOnUqAwYMsB/TtWtXevXqRZUqVTh06BDPP/883bp1Y9OmTVgsllzcgeujnlIiBchkMpFUtTMArU2RbNh/wskRiYiIiIiI5F7v3r05efIkP/zwA127drVPpn3lJNrZKVOmDM888wwTJkwgNTW18IPNpejoaB599FEGDRrEtm3bWLduHW5ubtx333357lU2e/ZsunXrRrly5exlmT3EHn30UYYMGUKjRo144403qFGjBp988gkAderUYd68ebz22mt4eXkRFBRElSpVKFu2rEPvqYLw5ZdfsmDBAhYuXMhvv/3GvHnzePXVV5k3b569Tt++fbnnnnuoV68ePXv2ZMmSJWzbto21a9cWaCw5URcOkQJWs0k7zhzwo4wpjtLnfgNCnB2SiIiIFJC0qChSjxzFrXIIrk6af0NEbg6eLp5s6b/Faee+Hh4eHnTq1IlOnToxfvx4HnnkESZOnOjQKygnTz/9NLNmzWLWrFnXFYOfnx8AsbGxBAQEOOyLiYnB398fgKCgIE6fPu2wPz09nfPnz9vnSfr444/x9/dnxowZ9jrz58+nYsWKbNmyhZYtWxIUFER0dLRDO9HR0fj5+WXpJXX06FFWrVrFt99+61AeHBwMQO3atR3Ka9WqxbFjx+zb/fv3p3///kRHR+Pt7Y3JZOL111+natWq9mu6ct6nzNgyryk38Y4ePZrnnnuOvn37AlCvXj2OHj3KtGnTGDRoENmpWrUqpUuX5uDBg3To0CHbOgVJPaVECtjt1QLxqXcXAE2SnfNDSERERAreha++5ve7B7L12bc52L4DMV9/7eyQROQGZjKZ8HL1csorc46jglK7dm0SEhJyVdfHx4fx48czdepULl68mO9zVq9eHbPZzI4dOxzK//77b2JjY7ntttsACAsLIyYmxqHezz//jNVqpUUL2/DJpKSkLL2QMoemZfZuCgsLY/Xq1Q51IiIiCAsLyxLbnDlzCAwMtE8gnqly5cqUK1eO/fv3O5QfOHCAkJCsnRXKli2Lj48PixYtsicCM2PZtWuXQ7ItIiICPz8/e8IrN/EmJiZme91Xm/Pr+PHjnDt3zp5gK2xKSokUMDcXM551bUkp9i+DfHYHFRERkRtHWlQUURMmsKfWYPbWfpgEjzKcmjCRtEtze4iIFAfnzp2jffv2zJ8/n507d3L48GG++uorZsyYQY8ePXLdzvDhw/H392fhwoW5qr9//34iIyMdXh4eHjzyyCP873//44cffuDw4cOsX7+eAQMG0LJlS26//XbA1gupa9euDBs2jK1bt7JhwwZGjhxJ37597UPrOnfuzLZt25g8eTJ//fUXv/32G0OGDCEkJIRGjRoB8Nhjj/H333/z7LPP8ueffzJr1iy+/PJLRo0a5RCr1Wplzpw5DBo0CBcXx8FnJpOJ0aNH89Zbb/H1119z8OBBxo8fz59//snQoUPt9d555x1+++03Dhw4wLvvvsvIkSOZNm2avUdY586dqV27Ng899BB//PEHK1asYNy4cYwYMQJ3d/dcx3v33XczdepUli5dypEjR/juu+94/fXXuffeewGIj49n9OjRbN68mSNHjrB69Wp69OhBtWrV7Cv4FTYN3xMpDFXbgosHxByF0/ugbO1rHiIiIiI3rtQjRzEMSPKwLQee4uaPd2I0qUePaRifiBQbPj4+tGjRgjfeeINDhw6RlpZGxYoVGTZsGM8//3yu23F1dWXKlCn0798/V/Uzh5dd7p9//mHmzJlMnz6dMWPGcPToUYKCgujUqRNTp0516A22YMECRo4cSYcOHTCbzfTu3Zu33nrLvr9169bMnz+fV199lRkzZuDl5UVYWBjLly+3D3WrUqUKS5cuZdSoUcycOZMKFSrw8ccfZ0nOrFq1imPHjvHwww9ney1PPfUUycnJjBo1ivPnz9OgQQMiIiIIDQ2119m6dSsTJ04kPj6emjVr8sEHHzhMDG+xWFiyZAmPP/44YWFheHt7M2jQICZPnmyvk5t43377bcaPH88TTzzB6dOnKVeuHI8++igTJkywn2fnzp3MmzePmJgYypUrR+fOnZkyZYo9+VXYTEZ+Z/UqRuLi4vD39yc2NtY+blVuXmlpaSxbtozw8HD78p5OsbAPHFjOuZbPUarrWOfFcYu5Ye6/OJ2ehVub7r9AwT4HaVFR7Oncgw23TwOg3q73KXNhD9V+Xq2k1A1M3wsEiu45SE5O5vDhw1SpUgUPD49CO4/kjdVqJS4uDj8/vwKfSPxWd7VnPrd5Ft0RkUKyyaUZAEc3fs3hs7kbfy0iIiI3JtegILwf/a99O8PiQfDkSUpIiYiIXAclpUQKycGAVgA0NB1iY+QeJ0cjIiIi18vcoq39a1NIVQLuu895wYiIiBQDSkqJFJKwhnWJtFbFbDK4uGups8MRERGR65QY/+9qRelWixMjERERKR6UlBIpJKFlvNnhYVuOM/TCr8Qkpjo5IhEREbkeCbEp9q/T050YiIiISDGhpJRIITGZTFir21Y+aGXayfq9/zg5IhEREckvwzCI/mGVfTstw3SV2iIiIpIbSkqJFKJ6je/guFEaT1MqJ35b7uxwREREJJ8yYmJIuPhv9yi3Rk2dGI2IiEjxoKSUSCFqWrkkv5hs/2ktdeJnUtOt1zhCREREbkTp0dGkuAfYt01lKzgvGBERkWJCSSmRQuRiMRNbsSMAbdjOlr/PODkiERERyY8rk1JpKRnOC0ZERKSYUFJKpJCFNO7MRcOTsqYY9u1Y7+xwREREJB8ST0ST4eJp305NVlJKRETkeikpJVLIWtUqxy9GfQBqxv7q5GhEREQkPy6ejHHYTolNwJqc7JxgREREigklpUQKma+HK3Xb9QWgtbHDydGIiIhIfsSfueiwnXTkOCkHDzkpGhGRgrdp0yYsFgvdu3d3dij5snbtWkwmEzExMdes16NHD4KDg/H29qZhw4YsWLAgS72vvvqKmjVr4uHhQb169Vi2bJnDfsMwmDBhAsHBwXh6etKxY0f++usvhzpTp07l9ttvx8vLi4CAgCzn+OOPP+jXrx8VK1bE09OTWrVqMXPmTIc6gwcPxmQyZXnVqVPHod6JEyd48MEHKVWqFJ6entSrV4/t27dftZ2uXbs6tHH+/HkGDBiAn58fAQEBDB06lPj4+Ku+n9dLSSmRIlCpRU8wmSF6F8Qcc3Y4IiIikkfxF1IAcEmz/ec83eKONTHBmSGJiBSo2bNn85///If169dz8uRJZ4dTaDZu3Ej9+vX55ptv2LlzJ0OGDGHgwIEsWbLEoU6/fv0YOnQov//+Oz179qRnz57s3r3bXmfGjBm89dZbvP/++2zZsgVvb2+6dOlC8mW9aFNTU7n//vt5/PHHs41lx44dBAYGMn/+fPbs2cMLL7zA2LFjeeedd+x1Zs6cyalTp+yvf/75h5IlS3L//ffb61y4cIE77rgDV1dXfvrpJ/bu3ctrr71GiRIlHM7XtWtXh7Y+//xzh/0DBgxgz549REREsGTJEtavX8/w4cPz90bnkpJSIkXBqyRUCrN9vX+5c2MRERGRPEuMt80h5Z0YDUCGxQNrgpJSIlI40qKiSNi8hbSoqCI5X3x8PIsWLeLxxx+ne/fuzJ07N0udH3/8kWbNmuHh4UHp0qW599577ftSUlIYM2YMFStWxN3dnWrVqjF79mz7/nXr1tG8eXPc3d0JDg7mueeeIz093b6/cuXKvPnmmw7na9iwIS+++KJ922Qy8fHHH3Pvvffi5eVF9erV+eGHHwA4cuQI7dq1A6BEiRKYTCYGDx6c7bU+//zzTJkyhdtvv53Q0FD++9//0rVrV7799lt7nZkzZ9K1a1dGjx5NrVq1mDJlCo0bN7YniwzD4M0332TcuHH06NGD+vXr8+mnn3Ly5EkWL15sb2fSpEmMGjWKevXqZRvLww8/zMyZM2nTpg1Vq1blwQcfZMiQIQ6x+Pv7ExQUZH9t376dCxcuMGTIEHudV155hYoVKzJnzhyaN29OlSpV6Ny5M6GhoQ7nc3d3d2jr8qTVvn37WL58OR9//DEtWrSgVatWvP3223zxxReFmqRUUkqkqNToBkDGn8tIStXkqCIiIjeTpBTbf5u97EkpNzLiE50ZkogUUzFff83B9h04NngwB9t3IObrrwv9nF9++SU1a9akRo0aPPjgg3zyyScYhmHfv3TpUu69917Cw8P5/fffWb16Nc2bN7fvHzhwIJ9//jlvvfUW+/bt44MPPsDHxwewDSsLDw+nWbNm/PHHH7z33nvMnj2bl156Kc9xTpo0iQceeICdO3cSHh7OgAEDOH/+PBUrVuSbb74BYP/+/Zw6dSrLMLiriY2NpWTJkvbtTZs20bFjR4c6Xbp0YdOmTQAcPnyYqKgohzr+/v60aNHCXie/rozlSrNnz6Zjx46EhITYy3744QeaNm3K/fffT2BgII0aNeKjjz7KcuzatWsJDAykRo0aPP7445w7d86+b9OmTQQEBNC0aVN7WceOHTGbzWzZsuW6rulqXAqtZRFx8Kf/HdQEMv5ez9Jt+7nvjtrODklERERywTAMjOr1IQZ8TJfm1jCZSb2onlIicm3n5szlfDY9j67kUbs2QRMncGrCRLBabYVWK6fGjef0mzMxWSw5Hlty8GBKDRmc7xhnz57Ngw8+CNiGeMXGxrJu3Tratm0L2OZG6tu3L5MmTbIf06BBAwAOHDjAl19+SUREhD1JU7VqVXu9WbNmUbFiRd555x1MJhM1a9bk5MmTjBkzhgkTJmA2576vzODBg+nXrx8AL7/8Mm+99RZbt26la9eu9kROYGBgtvM35eTLL79k27ZtfPDBB/ayqKgoypYt61CvbNmyRF3quZb579Xq5MfGjRtZtGgRS5cuzXb/yZMn+emnn1i4cKFD+d9//817773H008/zfPPP8+2bdt48skncXNzY9CgQYDtvvbq1YsqVapw6NAhnn/+ebp162afSywqKorAwECHdl1cXChZsuR1XdO1KCklUkRS/KpyyBpMqPkUZ/5YBkpKiYiI3BRMJhOpAcEQE0e5u9vy11brpaSUVt8TkWuzxseTHh19zXoZQUGkHjn6b0Lq8n1nz17zHPm1f/9+tm7dynfffQfYEhF9+vRh9uzZ9qRUZGQkw4YNy/b4yMhILBYLbdq0yXb/vn37CAsLw2Qy2cvuuOMO4uPjOX78OJUqVcp1rPXr17d/7e3tjZ+fH6dPn8718Vdas2YNQ4YM4aOPPsoycXhR2717Nz169GDixIl07tw52zrz5s0jICCAnj17OpRbrVaaNm3Kyy+/DECjRo3YvXs377//vj0p1bdvX3v9evXqUb9+fUJDQ1m7di0dOnQonIvKBSWlRIpIvfL+zHdpTqj1e8pFrSEpdRSebjn/tUNERERuHAkXbAko7wB3LBmJZLh4khqvpJSIXJvZxweXK3rUZMdSsiRulUPAbM6SmLKULn3VnlLmS0Pl8mP27Nmkp6dTrlw5e5lhGLi7u/POO+/g7++Pp6dnjsdfbV9umc1mh+GCAGlpaVnqubq6OmybTCas2STxcmPdunXcfffdvPHGGwwcONBhX1BQENFXJBKjo6MJCgqy788sCw4OdqjTsGHDPMeyd+9eOnTowPDhwxk3bly2dQzD4JNPPuGhhx7Czc3NYV9wcDC1azt2eqhVq5Z9SGN2qlatSunSpTl48CAdOnQgKCgoS4IvPT2d8+fP26+3MCgpJVJEzGYTiVU6w6HvaW2KZOOBKDrULe/ssEREROQarBlWEuNSAfAt5YUl44ItKZWY6uTIRORmUGpI3obWBU+e9O8QPrOZ4MmTCLjvvkKJLT09nU8//ZTXXnstS++cnj178vnnn/PYY49Rv359Vq9e7TC5dqZ69ephtVpZt25dlnmY4N/kiGEY9t5SGzZswNfXlwoVKgBQpkwZTp06ZT8mLi6Ow4cP5+laMhM1GRnXnr937dq13HXXXbzyyivZri4XFhbG6tWreeqpp+xlERERhIXZFq+qUqUKQUFBrF692p6EiouLY8uWLTmutJeTPXv20L59ewYNGsTUqVNzrLdu3ToOHjzI0KFDs+y744472L9/v0PZgQMHHOadutLx48c5d+6cPakWFhZGTEwMO3bsoEmTJgD8/PPPWK1WWrRokadrygtNdC5ShKo3bs95w4cSpngO/rba2eGIiIhILlz85wyGASazCa/SPrhk2HpIpSZm/Su+iMj1CrjvPqr9vJpK8+ZR7efVhZaQAliyZAkXLlxg6NCh1K1b1+HVu3dv+wp6EydO5PPPP2fixIns27ePXbt28corrwC2lfMGDRrEww8/zOLFizl8+DBr167lyy+/BOCJJ57gn3/+4T//+Q9//vkn33//PRMnTuTpp5+2zyfVvn17PvvsM3755Rd27drFoEGDsFylZ1h2QkJCMJlMLFmyhDNnzhCfw5DGNWvW0L17d5588kl69+5NVFQUUVFRnD9/3l7nv//9L8uXL+e1117jzz//5MUXX2T79u2MHDkSsPXQeuqpp3jppZf44Ycf2LVrFwMHDqRcuXIOQ+uOHTtGZGQkx44dIyMjg8jISCIjI+2x7d69m3bt2tG5c2eefvppeyxnzpzJEvfs2bNp0aIFdevWzbJv1KhRbN68mZdffpmDBw+ycOFCPvzwQ0aMGAHYVlccPXo0mzdv5siRI6xevZoePXpQrVo1unTpAtiSh127dmXYsGFs3bqVDRs2MHLkSPr27evQi66gKSklUoTuuK0s643GAHj8vZITFwp21Z5TsUlsPHSWU7FJN3SbhdtuMn/FmjgVW7BDKm6m91ZERArWybmLAHBLukDa4b+xpKcAkJakpJSIFA7XoCC8WzTHtRCHTcG/K7n5+/tn2de7d2+2b9/Ozp07adu2LV999RU//PADDRs2pH379mzdutVe97333uO+++7jiSeeoGbNmgwbNoyEBNtiEOXLl2fZsmVs3bqVBg0a8NhjjzF06FCHYWpjx46lTZs23HXXXXTv3p2ePXsSGhqap2spX748kyZN4rnnnqNs2bL2BNKV5s2bR2JiItOmTSM4ONj+6tWrl73O7bffbk/sNGjQgK+//prFixc7JISeffZZ/vOf/zB8+HCaNWtGfHw8y5cvx8PDw15nwoQJNGrUiIkTJxIfH0+jRo1o1KgR27dvB+Drr7/mzJkzzJ8/3yGWZs2aOcQcGxvLN998k20vKYBmzZrx3Xff8fnnn1O3bl2mTJnCm2++yYABAwCwWCzs3LmTe+65h9tuu42hQ4fSpEkTfvnlF9zd3e3tLFiwgJo1a9KhQwfCw8Np1aoVH374YZ7uQ16ZjCsHbt6C4uLi8Pf3JzY2Fj8/P2eHI9cpLS2NZcuWER4enmXM8Y3gpf+bzriEafxtDaJv6ngeaV2V4Xf+uzrFhcRUlu06dZUW/tWzUXm83WyjcL+PPMHUZftsf8kFOtQqS93y2T/P/p5u3FU/2KHs533RnIpzTOTsPhHH6n3RGPzbZu/GFWhauYRDvQVbjuYq3rY1Aikf4Mn3kSd4edk+rLmINdOAFo5dT7cfucD+6Lhrxtu5diDtajqO4f/xj5PEJV/7F4nGlUpQK9gvX/F2rxdMgNe/Y73/On2RrYf//etLZqzJuBFv8mZar3r0aZb7SR7l2m707wVSuHT/BQruOdj6n1fYltYMv7gjPPBSW5YuPMWp4yl0HFCVGndWLriApcDpe4FA0T0HycnJHD58mCpVqjgkJsS5rFYrcXFx+Pn55WmlP7m2qz3zuc2zaE4pkSJ0KjaJL85VY7S7C1XNUWz1GAFbsb0uKQEMyG2Dv/77ZQ+gh/tl+w5feuUkwnGzfU71Lv/ekkObeY03z7FedmymppdeWWQX7xUrqt59rTivUBDxVr/0cuABVsPEf9L+w/Pfmmh9WxmC/a9/okgRESlYiXFp4AnuKTG4li+Pe8l4OJ5COkpyiIiIXA8lpUSK0OGzCcTjyfyMTgy0rMSEraOixWwic4FUA8iw5q4DY+ZxeTkGwGQCy2VLsgJkGAa56TeZ3bHpeYgX8hZrJhez4zmtBlhzEfD1XKv50vubn3gvv6cAVsB6RTtmDMwmgwctq1ia1pIjZxOVlBIRuQElJhngCR4kYnZ3x9XdNs9JWsq1J9MVERGRnCkpJVKEqpT2xmyCKekPMSX9IQDMJtjwXHt7MuJichq/HDibq/ba1wzE081CVGwSd0z/mctzHmYTTO5RlxJeblmO8/Fwoc1tZRzKtv99jrPx/64idCExlfGLd3N5GsVsgjmDm9GmRqDDsSt25m64YbMqJciwGnmKNVP3K4Yb7jsZy5Gz/87JlVO87/RrRHh9x4n5ftl/moRc/CJRK9gXTzdLvuJtfVtpfD3+/Qv68XOJ7DoR6xBredMZfnX/L83N+yhjiqVyaa9rxiQiIkXLsFpJSrd9P/d0t/0wcPVQUkpERKQgKCklUoSC/T2Z1qsez3+7mwzDwGIy8XKvug69Y/w8XLMkYPLbbl7mKGpRtVSWMleLKUubVyakIGvC6FquN1aAOuX8qVPOcUJGV4uJsd/uwmrYEkfTetXLkpAC29xWRR1vpVJeVCr1b9IpM9ZIaygNzYfo6xNJsH//PLUpIiKFL+P8eVJcbT9vvH0uzUVy8hjgQtyOXdC9ivOCExERuckpKSVSxPo0q0Tr28pw5GwilUt7FdhwrcJo92aKNbPdsCol+HLZGh4Ib0el0r4F1m5hvbffvr2ChumHaJP2KxeT0xx6V4mIiPOlRUeT4m5LSvmUsE1cmLp9C5S4g4t/7AbucWJ0IiIiNzclpUScINjfs1DmDiqMdm+mWG3telDd3yDYv2BXPCms97Zx18GwZB5NTPswpV8A8taLS0RECldaVDQp7rZVZ33K2P7Y4XLp7wfpVguGYWC6Yu5CERERyR2thygi4kRhTRtD+SaYDCvs+8HZ4YiIyBWSTp0hw2JbgtW3fAAArq6XFu6wuGMkJzsrNBERkZueklIiIs5Wu6ft3z2LnRmFiIhk4+LJCwC4pCfiWa4sAK7utv9CZ1jcsSYm5nisiIiIXJ2SUiIizla7h+3foxvIiIt2biwiIuLAtZNtziifUt541K9vK3O3zYCRbnHHmpDgtNhERERudkpKiYg4mdW/EucC6oFh5ZOP33J2OCIicpnEJNtQPd9yAbiUsM0t5eZhS0plKCklIiJyXZSUEhFxMrPZxLfJTQGoe+FnTsQkOTkiERHJlBCTAoB3gLu9zM3LNtN5hsVDw/dE5KY3ePBgevbsad8+c+YMjz/+OJUqVcLd3Z2goCC6dOnChg0b7HUqV67Mm2++6bBtMpnYvHmzQ9tPPfUUbdu2zfHcR44cwWQyERkZmWXf2rVrMZlMxMTEZNl35fnPnz/PgAED8PPzIyAggKFDhxIfH+9wzJdffknDhg3x8vIiJCSE//u//8vS7rvvvkutWrXw9PSkRo0afPrppw77P/roI+68805KlChBiRIl6NixI1u3bs3Szr59+7jnnnvw9/fH29ubZs2acezYMfv+Rx99lNDQUDw9PSlTpgw9evTgzz//dGjj2LFjdO/eHS8vLwIDAxk9ejTp6el5infPnj307t3bfn8uf88yTZs2jWbNmuHr60tgYCA9e/Zk//79WeoVFiWlRERuAC717gWguXkfa7fvdnI0IiKSKbuklKu37esMF/WUEpHip3fv3vz+++/MmzePAwcO8MMPP9C2bVvOnTt31eM8PDwYM2ZMEUXpaMCAAezZs4eIiAiWLFnC+vXrGT58uH1/REQEDz30EI899hi7d+9m1qxZvPHGG7zzzjv2Ou+99x5jx47lxRdfZM+ePUyaNIkRI0bw448/2uusXbuWfv36sWbNGjZt2kTFihXp3LkzJ06csNc5dOgQrVq1ombNmqxdu5adO3cyfvx4PDz+XR28SZMmzJkzh3379rFixQoMw6Bz585kZGQAkJGRQffu3UlNTWXjxo3MmzePuXPnMmHChDzFm5iYSNWqVZk+fTpBQUHZvnfr1q1jxIgRbN68mYiICNLS0ujcuTMJRfTzzaVIziIiIld1Z7MmRG4JpaH5EBcjv4OOzZwdkojILc+anMz5yD8BX9wTzwGhALhnJqUs7mTEKyklIsVHTEwMv/zyC2vXrqVNmzYAhISE0Lx582seO3z4cN5//32WLVtGeHh4YYdqt2/fPpYvX862bdto2tQ2+uDtt98mPDycV199laCgIBYtWkSPHj147LHHAKhatSpjx47llVdeYcSIEZhMJj777DMeffRR+vTpY6+zbds2XnnlFe6++24AFixY4HDujz/+mG+++YbVq1czcOBAAF544QXCw8OZMWOGvV5oaKjDcZcnzCpXrsxLL71EgwYNOHLkCKGhoaxcuZK9e/eyatUqypYtS8OGDZkyZQpjxozhxRdfxM3NLVfxNmvWjGbNbL9XPPfcc9m+f8uXL3fYnjt3LoGBgezYsYPWrVvn9jbkm3pKiYjcAKoF+rDNy/ZNv0HsGg3hExG5AaRHRXHxxHkAMjatsZe7lwkAwDBZsLq6Z3eoiAiGYZCWkuGUl2EY+YrZx8cHHx8fFi9eTEpKSp6OrVKlCo899hhjx47FarXm6/z5sWnTJgICAuwJKYCOHTtiNpvZsmULAKmpqQ49lQA8PT05fvw4R48eBSAlJSXbOlu3biUtLS3bcycmJpKWlkbJkiUBsFqtLF26lNtuu40uXboQGBhIixYtWLx4cY7xJyQkMGfOHKpUqULFihXt11SvXj3Kli1rr9elSxfi4uLYs2dPvuPNjdjYWAD7NRU29ZQSEblBuNTrBdvm0Ny8jy+272JAx2v/RUpERApPWvRpUtwCAPAp7W0vL93rHlhlS1K5t2jljNBE5CaQnmrlw/+uc8q5h89sg6u7Jc/Hubi4MHfuXIYNG8b7779P48aNadOmDX379qX+pRVIr2bcuHHMmTOHBQsW8NBDD+Un9DyLiooiMDDQoczFxYWSJUsSFRUFQPv27XnhhRdYvXo17dq14+DBg7z22msAnDp1isqVK9OlSxc+/vhjevbsSePGjdmxYwcff/wxaWlpnD17luDg4CznHjNmDOXKlaNjx44AnD59mvj4eKZPn85LL73EK6+8wvLly+nVqxdr1qyx9z4DmDVrFs8++ywJCQnUqFGDiIgI3Nzc7Nd0eUIKsG9nXlN+4r0Wq9XKU089xR133EHdunXzfHx+qKeUiMgN4s5mjYm0hmIxGcRHfufscEREbnmpUdGkuvkC4BvkZy83mU24XPplLy0lwymxiYgUlt69e3Py5El++OEHunbtytq1a2ncuDFz58695rFlypThmWeeYcKECaSmphZ+sLk0aNAgRowYwV133YWbmxstW7akb9++AJjNtrTI+PHj6datGy1btsTV1ZUePXowaNAghzqXmz59Ol988QXfffedvcdSZg+xHj16MGrUKBo2bMhzzz3HXXfdxfvvv+9w/IABA/j9999Zt24dt912Gw888ADJycm5vqa8xpsbI0aMYPfu3XzxxRf5Oj4/1FNKROQGUS3Qh4+8WtMw+RD1Y9dyIiaJ8gGezg5LROSWdfH4WTCFYLKm41PR8a/wru4W0lMySEtJz+FoEbnVubiZGT6zzbUrFtK5r4eHhwedOnWiU6dOjB8/nkceeYSJEycyePDgax779NNPM2vWLGbNmnVdMfj52f4YEBsbS0BAgMO+mJgY/P39AQgKCuL06dMO+9PT0zl//rx9cm+TycT06dOZNm0aUVFRlClThtWrVwO2uZjANvTtk08+4YMPPiA6Oprg4GA+/PBDfH19KVOmjEP7r776KtOnT2fVqlUOPchKly6Ni4sLtWvXdqhfq1Ytfv31V4cyf39//P39qV69Oi1btqREiRJ899139OvXj6CgoCyr+kVHR9uvN6/x5sbIkSPtk8RXqFAhz8fnl3pKiYjcQFzq9QIyV+Hb5eRoRERubRejLwLglhqH6xXDKNwu9ZRKTVZPKRHJnslkwtXd4pSXyWQq0GupXbt2rldj8/HxYfz48UydOpWLFy/m+5zVq1fHbDazY8cOh/K///6b2NhYbrvtNgDCwsKIiYlxqPfzzz9jtVpp0aKFw7EWi4Xy5cvj5ubG559/TlhYWJYEjqurKxUqVMBisfDFF19w1113OfQ8mjFjBlOmTGH58uUO81gBuLm50axZM/bv3+9QfuDAAUJCQnK8VsMwMAzDPo9XWFgYu3btcki2RURE4OfnlyXhda14r8UwDEaOHMl3333Hzz//TJUqVXJ9bEFQTykRkRvInc0a21fh8/n7J0DzSomIOEvCuUQA3FNicC37b0+p9DNn4MwpIICzXy2m3NjBzglQRKSAnTt3jvvvv5+HH36Y+vXr4+vry/bt25kxYwY9evTIdTvDhw/njTfeYOHChVkSQ9m5MokDUKdOHR555BH+97//4eLiQr169fjnn38YM2YMLVu25PbbbwdsvZC6du1qnwcrLS2NkSNH0rdvX8qVK4fVauXcuXMsXLiQ9u3bk5yczJw5c/jqq69Yt+7fOb8OHDjA1q1badGiBRcuXOD1119n9+7dzJs3z17nlVdeYcKECSxcuJDKlSvb53fKnCAeYPTo0fTp04fWrVvTrl07li9fzo8//sjatWsBW1Jt0aJFdO7cmTJlynD8+HGmT5+Op6enfdXCzp07U7t2bR566CFmzJhBVFQU48aNY8SIEbi7u+c63tTUVPbu3Wv/+sSJE0RGRuLj40O1atUA25C9hQsX8v333+Pr62u/Jn9/fzw9C3/UhlN7Sr333nvUr18fPz8//Pz8CAsL46effrLvT05OZsSIEZQqVQofHx969+5t77KW6dixY3Tv3h0vLy8CAwMZPXo06enqRi0iN6dqgT5QuycAPdy2OTcYEZFbXPxF2+pF7ikxuFz2l3TDakDMWQCSjp9ySmwiIoXBx8eHFi1a8MYbb9C6dWvq1q3L+PHjGTZsGO+8806u23F1dWXKlCm5niOpb9++NGrUyOEVHR3NzJkzGTRoEGPGjKFOnToMHjyY+vXr8+OPPzr0BluwYAE1a9akQ4cOhIeH06pVKz788EOHc3z22Wc0bdqUO+64gz179rB27VqaN//3D8AZGRm89tprNGjQgE6dOpGcnMzGjRupXLmyvc57771Hamoq9913H8HBwfbXq6++aq9z77338v777zNjxgzq1avHxx9/zDfffEOrVraFMTw8PPjll18IDw+nWrVq9OnTB19fXzZu3GifsN1isbBkyRIsFgthYWE8+OCDDBw4kMmTJ+cp3pMnT9rfz1OnTvHqq6/SqFEjHnnkEYdrio2NpW3btg7XtGjRolzdu+vl1J5SFSpUYPr06VSvXh3DMJg3bx49evTg999/p06dOowaNYqlS5fy1Vdf4e/vz8iRI+nVqxcbNmwAbDehe/fuBAUFsXHjRk6dOsXAgQNxdXXl5ZdfdualiYjkW8Oug+HP1+DoBrgYDb5lr3mMiIgUvKQkE3iBpzkF06UVkQDM3l64ZNh+0UpLKbplz0VECsPlE5i7u7szbdo0pk2bdtVjjhw5ctVtgH79+tGvX7+rtlO5cmUMw7hqnRdffJEXX3zxqnVKlizJwoULc9xfqlQpNmzYcNVhbbVq1eL333+/6nmyu87sPPzwwzz88MPZ7itXrhzLli27ZhshISFXrZebeHPz/l5rf2Fzak+pu+++m/DwcKpXr85tt93G1KlT8fHxYfPmzcTGxjJ79mxef/112rdvT5MmTZgzZw4bN25k8+bNAKxcuZK9e/cyf/58GjZsSLdu3ZgyZQrvvvvuDTXTv4hIngRUgvJNwLDCvh+cHY2IyC3JyMggKcOWiPL0cEw8mT09sWQmpVKVlBIREcmvG2ZOqYyMDL766isSEhIICwtjx44dpKWl0bFjR3udmjVrUqlSJTZt2kTLli3ZtGkT9erVo+xlE0926dKFxx9/nD179tCoUaNsz5WSkmKfQAwgLi4OgLS0NNLS0grpCqWoZN5D3ctbU3G5/+aad2M5sQPr7u9IqjcQNxetS5FXxeVZkPzR/Re4vufAGh9PWqnyAHgHeGRpw4WMS20bes5uYPpeIFB0z0FaWhqGYWC1WrFalbC+UWT2BMq8N1JwrFYrhmH7OWixWBz25fbz5vSk1K5duwgLCyM5ORkfHx++++47ateuTWRkJG5ublmWfixbtqx94q2oqCiHhFTm/sx9OZk2bRqTJk3KUr5y5Uq8vLyu84rkRhEREeHsEMSJbvb7n3rRj/sB4+hGps9eRNOK/s4O6aZ1sz8Lcn10/wXy/xzE+ZaFRPinSS1OXzGEwmTYeuUnJWfkahiGOJe+FwgU/nPg4uJCUFAQ8fHxGrlzA7qelQAle6mpqSQlJbF+/fosc3snJibmqg2nJ6Vq1KhBZGQksbGxfP311wwaNMhhBvzCMHbsWJ5++mn7dlxcHBUrVqRz5874+fkV6rml8KWlpREREUGnTp1wdXV1djhSxIrL/f/7TAKRB96lofkQ5ZP2Eh4+xdkh3XSKy7Mg+aP7L3B9z4FhGHyyaiNgpUOX1viVcVyBaNXCnbYvzG721ZLkxqPvBQJF9xwkJyfzzz//4OPjg4eHR6GdR/LGMAwuXryIr6+vw+Tocv2Sk5Px9PSkdevWWZ75zBFp1+L0pJSbm5t9KcImTZqwbds2Zs6cSZ8+fUhNTSUmJsaht1R0dDRBQUEABAUFsXXrVof2Mlfny6yTHXd3d/syipdzdXXVD6tiRPfz1naz3/8a5QL4yKs1DZMP0SBuHacT0ikfUPhLshZHN/uzINdH918gf89BckIaGWm2YR7+pb1xcXUcluB66X/R6YZFz9hNQN8LBAr/OcjIyMBkMmE2m686obYUrcwhe5n3RgqO2WzGZDJl+9nK7WfthrsjVquVlJQUmjRpgqurK6tXr7bv279/P8eOHSMsLAyAsLAwdu3axenTp+11IiIi8PPzo3bt2kUeu4hIQXKt1wuAFuZ9rN2+y8nRiIjcWhJibPOPunu74OJmybLf1dX21/YMkxtWDdMRkcs4ezUzkaJSEM+6U5NSY8eOZf369Rw5coRdu3YxduxY1q5dy4ABA/D392fo0KE8/fTTrFmzhh07djBkyBDCwsJo2bIlAJ07d6Z27do89NBD/PHHH6xYsYJx48YxYsSIbHtCiYjcTO5s3phIayhmk0F85HfODkdE5JZy/IPPAHBPOEf6mTNZ9ru62ZJS6RZ3rAkJRRqbiNyYMid61nxScqvInDfqenogOnX43unTpxk4cCCnTp3C39+f+vXrs2LFCjp16gTAG2+8gdlspnfv3qSkpNClSxdmzZplP95isbBkyRIef/xxwsLC8Pb2ZtCgQUyePNlZlyQiUmBCy/jwoVcbGiYfon7sWk7EJGkIn4hIEYk7cR5cweXccUzZ/LHTp34d2A3m8iGYNCxMRLBNdO7l5cWZM2dwdXXVULEbhNVqJTU1leTkZN2TAmIYBomJiZw+fZqAgIAsK+/lhVOTUrNnz77qfg8PD959913efffdHOuEhIRoxRMRKbbc6t0L2z6hhXkfn2/fxYCOzZ0dkojILSExwQoB4JERj9nXN8v+Eh1bw+5IjBJlsPj4FH2AInLDMZlMBAcHc/jwYY4ePerscOQSwzBISkrC09NTE50XsICAgKvO550bTp/oXEREcnZn88ZEbgmlofmQbQifklIiIkUiKdX2V19P1/Rsf4lxc7f9NzotOaNI4xKRG5ubmxvVq1fXEL4bSFpaGuvXr6d169Za8KAAubq6XlcPqUxKSomI3MA0hE9EpOhlxCeQbPEGwMsr+7+qu7pfmjsmJb3I4hKRm4PZbMbDw8PZYcglFouF9PR0PDw8lJS6AWlApYjIDc6t3r2AbRW+I4f/dnI0IiLFX/rpaFLcAgDwDsh+8RxXD1tSKi05Q6vviYiI5JOSUiIiN7hOdzQjtmR9zCaDO9I2OjscEZFiLz06mhT3AAB8S3tlWyfxpx8BsGYYXPhR85uKiIjkh5JSIiI3uPIBnvg3fcC2sfd75wYjInILSD4VTZqbbXJz3+AS2dZx83Kzf50al1gkcYmIiBQ3SkqJiNwMavew/XvkV7gY7dxYRESKufh/zgFgtqbhVb50tnVcfL0xZ9iG7aXGJxdZbCIiIsWJklIiIjeDgEpQvglgkLpbvaVERArTxdMXAXBLicUtqGy2dcze3lgyUgBITUgpsthERESKEyWlRERuEgfLdALg95/mcPyChoqIiBSaBi0A2yTnrhUrZlvF7OV1WVJKE52LiIjkh5JSIiI3iV9d7wCgmWkfa7fvdnI0IiLFV3rJ8gCUqBeKS8mS2dYxe3vjkmEbtpeWlFZksYmIiBQnSkqJiNwk7mzemN+t1TCbDBL++M7Z4YiIFFvxMbYeUN4B7jnWcegplZxRJHGJiIgUN0pKiYjcJELL+LDNqzUADeLWaAifiEghSbiUlPK5WlLqsjml0lKUlBIREckPJaVERG4ibvXuBaC56U8N4RMRKQTWpCQunrgAgJefW471zF5eWNIvDd9LVVJKREQkP5SUEhG5iWgIn4hI4Uo5cIDYv08BkPrDohzrmVxdccE2l1SappQSERHJFyWlRERuIhrCJyJSuFJPRZPq7g+Ab6DvVev63xkGgGfHroUel4iISHGkpJSIyE3Gvb6G8ImIFJbEE2ewml0B8KmQ/cp7mbyrVATA8PYv9LhERESKIyWlRERuMnc20xA+EZHCcjEqBgDX1It4BJe9al1XDwsAqZroXEREJF+UlBIRuclUvWwIX1jyepI0wa6ISIG5eDYBAPeUGFzKXiMp5e4CQFpyeqHHJSIiUhwpKSUichNqcdcQAOqn78Ez5ayToxERKT4SYlIBcE+NwSXw6kkp04XTACT9cwprSkqhxyYiIlLcKCklInITalC3PpRvChiw7wdnhyMiUmwkJhoAeGQkYPHxvmrdpJ8jAEg4eJSM8+cLPTYREZHiRkkpEZGbVZ2etn/3LHZmFCIixYZhGCSl2Ybkebpde2h05pxSGRZ3rAkJhRqbiIhIcaSklIjIzap2D9u/RzcQf/a4c2MRESkGrBcvkmzxAcDL+9r/TXbztK3Sl25xx5qYWKixiYiIFEdKSomI3KQy/CpyyrcuYLBg7jvODkdE5KaXfvo0Ke4BAPgEuF+zvpu3rU6GxUM9pURERPJBSSkRkZuUxWzix7TmADSIW8vxC/orvYjI9XCvVo30wBAAggfce836bl5ugIbviYiI5JeSUiIiNzG3erZfmpqb/mTt9t1OjkZE5OaWnppBSmI6AAE1Kl2zvpuvBwBWixvp8frDgIiISF4pKSUichO7s3ljfrdWw2wySPjjW2eHIyJyU0uITQHAxdWMu5fLNeu7+XnZv069qKSUiIhIXikpJSJyEwst48M2r9aAhvCJiFyvhBhbUso7wB2TyXTN+q4+Xpistp5VqReTCjU2ERGR4khJKRGRm5yG8ImIFIyoJT8D4J4Wh5Gaes36Zm9vLBnJAKQmXLu+iIiIOFJSSkTkJqchfCIiBePCjn0AmA78ARbLNeubvb2wZNiSUWnWa9cXERERR0pKiYjc5DSET0SkYCQm24bseVpSMeUiKeXZsCHeVSoC4NOjV6HGJiIiUhwpKSUiUgy419cQPhGR62GkppJkuAPg6Wnk6hiTyYSrhy15lZqcUWixiYiIFFdKSomIFAN3Nvt3CF/wyZXODkdE5KaTfuYMKW4BAPj4uub6OFd3W1IqLUVJKRERkbxSUkpEpBioWsYHn8a9Aehg3eTkaEREbj5p0adJcQ8AwLukZ66Pc/NwsR2vpJSIiEieKSklIlJMVG/7IADG0Q1s272PU7EFuzz5qdgkNh46W6DtFkabme1u/vs8l1Z3L9B2CzLewrz+m+leFUasN8P9L8x2CyvW4iwtOppUN38AfIL8cn1c+kHb5OgXVqwulLhERESKMxdnByAiIgUkoBLnAupTKmYnh78Yw2IjlFI+bvi65zwMpWawL3dWK+1QNmfjEdIzHOdTuZiSxrn4f5c7L+Xjxr0Ny1OltLe97FRcMkv+OJWrUAffXpk/jsew+PcTZJ7pWrEClPV355765RzKvos8wdmL/8bmGKvB2wc34uvhSpOQEjSuFGCvl5yewWebjuUq3h4Ny3HsfGKe43V3MTMwLMShbO2BM/wVHZ/te3p5e6FlvGlfM9Dh2PlbjpGUevXeGJe3awJ6NrLdp29/O3GNq7Tp36IS3m7/TvD8x/EYVv95+qqxApT0dqN34/IOZUt3neJkTHKeYm0aUoIMw+CTX4/kKt7wekGUD/i3V8uKvdGsP3Dm0ta/9/9KZhMMbVXFoWzDoXPsPRl3zVgB7r0Ua6Yvt/9DbFL6NeMNCy1F3XL/Jjx+PXiWn3ZH2bev9lzd17QCJTz/3bfv1EV+PXg2x1j/tFbkd2owrVc9+jSrdM3YbnXxx89gmMuDYcWvfKlcH2c9fBDKlCb+4NFCjE5ERKR4UlJKRKSYOBWbxCdn6/GCy04ecFnHA6yDFGyvnMQB+x2LhuRU9/Lfk1OALY67g4FhuQ12OTQFml7Z5rV6tsQB/zgW3ZtdvcvbTb302nXpdYkHeYh3PQSSj3gBljputr30yhLnle3FAYccj30wF6fL0u6lee9zfa0RjpsNLr2uGivY4r3iWrvn5nxXxrobLOQh3g2Om12ALtnd/+xcEe8dl145yibWTA9cNcjL/H7pdUkroFVun6ufHTdrXXplyxXSDAstUt7l+W930/q2MgT7535I2q3oYlQsUB631Iu4BZW7Zv1MLhZbojg9w1RIkYmIiBRfSkqJiBQTh88msDC9PVU4RUnTxVwdU6GEp0OvDYCV+6KxWq99bLVAH6qV+ben1PnENLYePp+r8zYJCWDH0Zhc1b1cCS9XWlQp6VC26e9zueqhUj3Qh9DL4k3NMPj5z9O5Om/tYF/2nsrde3o5V4uJDlf0dtp5IvaqvYcyBft70KCCv0PZmv1nSEnPxc25Qp1yfuzJoQfQldrWKIOHy7+j+3efjOP4hWsPAfP1cOGOUMfeJVuPXOB8Qk4Zoew1q1yCEl5urNwbnev6pbzdADiXkMq2IxdydZzJBF1ql3Uo23fqIkfPJ+Yp1sxz//LXWRKu0YsNoFawLyElvfIcL0Cr6qXxuawX27ELSTn27Gpj/gNPUyrBpvOcN/w4cjZRSalriD9ru/fuqTG4lG2Y6+NcL/1vOt1quXpFERERyUJJKRGRYqJKaW+STJ48n/6IvcxsgjXPtCXI3yPbY8wmE1gcpxdsk+74i3VUbDLtXl2L1bj8OFj/YDso4WUvC7AatMtNNgs4F5/CE6+sydLm1WIFMGECF8d4m6RbMS4Nqssp1jXPtLUN8brsWl0Ng3YZuYv37MUUnpiR93gBcHH8RbVWhhX/mKQc48xsL7t7c3v61ZMe2V2/xWRifd+2tPN1v3qcl7hZzLaMzSX+5xO45/+uHitkf28aXnZvchvrr/e1w+Tnket742o22wICUmOTeGL6z7m/T1fcm+oZVqoaWeO9WqxcSvS0uMq1Xs5y2X3Na7yXXytAeatB2Ss+c5mxLncdzW2mE/iZEjADlUt7IVeXHlgJ/gFPSxquZcte+4BLXDKTUlgwrFZMZk3ZKiIiklv6qSkiUkwE+3syrVc92y+92H75ndarHiGlvHF3sWT7crVk/TFwZZ2QUt7ZtluhhOMvuWazKcfzXPkqF+CV51jdXSy4uWSN183FnGOsJgxe6lGbkFLeuFxxrSZT7uMtXyJ/8bq7ZO054Wox5/ieXt5ebu5Nbu7Vy73qUr6EV66v1WRyHIJUseS1Y83NvcltrMH+nnm6N+bLkjRXfgYuv/+5uTculuzjvVqsubnWy1+XP4d5/cxefq0Almw+c5mxxmLrFVjClMDL99ZTL6ncqNsMgMCubTB75T6J5+Zmu6cZFnesiZpYXkREJC/UU0pEpBjp06wSrW8rw5GziVQu7VVgv4gWRruFHeuh6DgORW7m/iYVCrTdgopX96pwY73R739httunWSWS94bA4QO83K0iAc01yXluJFxartE7IHe9CjO5ulsgAzIsHlgTErD4eF/7IBEREQGUlBIRKXaC/T0LpVdEYbRbmLGW9nLh3L6Cb7cg49W9KrxYb4b7X5jtevjZVtUMIL5A2y3OrisplQjpFnesCQmFEZqIiEixpeF7IiIiIsWNR4Dt3+QYZ0ZxU4mPsU3K75PHpJSbp235RNvwvdxPlC8iIiJKSomIiIgUP54BAJyMiuL1lfs5Fau5jq4m/pdfuXj8LADWyI15Otbt0gqMmcP3REREJPeUlBIREREpbi71lPpt/2He+vkgm/8+59x4bnBJJ06RbrENofSw5i2x5FU1BIAMd28sAQEFHZqIiEixpqSUiIiISHFzqaeUH7YEy7YjF5wYzI3v4okYACwZKXgGl8nTsSXDOwGQgQvu1asXdGgiIiLFmpJSIiIiIsXNpZ5SASZbUmr7kfNODObGF3/6IgDuKTG4BpXN07GuHhb712mpGQUal4iISHGnpJSIiIhIceNZAoAyLraJtw9Ex3MhIdWZEd3Q4mOSgUtJqbJ5S0q5uJoxmWxfpyUrKSUiIpIXSkqJiIiIFDeXhu9l9pQC2HFUQ/hykhBvSya5p8VhKVkyT8eaTCZcPVwASEtRUkpERCQvlJQSERERKW4uDd/zyIjHhBWAbUc1hC8nScm2/xJ7uqRiMuftv8dJe/ZgirO9t9Efzyvw2ERERIozJaVEREREiptLPaVMGPiSBMB2TXaeLWtKCsnYVt7z8jTl+XiT2Ywl1TZMMiU+uUBjExERKe6UlBIREREpblzcwcWWaKlb0gBg5/EYktM0vOxK6adPk+IeAICXn2uejzd7e2PJsCWj0pLSCjI0ERGRYs+pSalp06bRrFkzfH19CQwMpGfPnuzfv9+hTtu2bTGZTA6vxx57zKHOsWPH6N69O15eXgQGBjJ69GjS09OL8lJEREREbiyXeku1CLb1/knLMNh5PNaJAd2Y0qOjSXH3B8C3lGeejzd7eWHJSAEgVROdi4iI5ImLM0++bt06RowYQbNmzUhPT+f555+nc+fO7N27F29vb3u9YcOGMXnyZPu2l5eX/euMjAy6d+9OUFAQGzdu5NSpUwwcOBBXV1defvnlIr0eERERkRuGZwm4eIpGZUzUDPKleZWSBHjlvSdQcedSuQqpHrFgQKk2zfN8vNnbG5dLSam0VGtBhyciIlKsOTUptXz5coftuXPnEhgYyI4dO2jdurW93MvLi6CgoGzbWLlyJXv37mXVqlWULVuWhg0bMmXKFMaMGcOLL76Im5tboV6DiIiIyA3p0mTnrSu60Lpr66vXvYWlufhgGCZMJijdOu9JKZOHh72nlJJSIiIieXNDzSkVG2vrUl7yiqV4FyxYQOnSpalbty5jx44lMTHRvm/Tpk3Uq1ePsmXL2su6dOlCXFwce/bsKZrARURERG40l4bvkRTjzChuePExtoSSl58bZkve/2tsMplwMdmG7Wn2CBERkbxxak+py1mtVp566inuuOMO6tatay/v378/ISEhlCtXjp07dzJmzBj279/Pt99+C0BUVJRDQgqwb0dFRWV7rpSUFFJSUuzbcXFxAKSlpZGWpgkqb3aZ91D38tak+y+Z9Czc2nT/weLuhxnISDiP9RZ9H3LzHMSdTQDAy98t38+Li9nWQyot3XRLP3M3In0vENBzcKvT/XeO3L7fN0xSasSIEezevZtff/3VoXz48OH2r+vVq0dwcDAdOnTg0KFDhIaG5utc06ZNY9KkSVnKV65c6TBfldzcIiIinB2COJHuv2TSs3Bru5Xvf91TFwgF/t6zg70xywCIS4VUK5T2cG5sRe1qz0HKb3FAeeITzrBs2bJ8tW+yXproPJ18tyGF61b+XiD/0nNwa9P9L1qXj3C7mhsiKTVy5EiWLFnC+vXrqVChwlXrtmjRAoCDBw8SGhpKUFAQW7dudagTHR0NkOM8VGPHjuXpp5+2b8fFxVGxYkU6d+6Mn5/f9VyK3ADS0tKIiIigU6dOuLpqQtdbje6/ZNKzcGvT/QfzL3vgzAqqli+F6+3tGDRnB0fPJ3J3/SBeD6/v7PCKRG6eg4j50zlTqjyl/owk/MVn83We9V/tBMBqduWubt0wmUz5jlkKlr4XCOg5uNXp/jtH5oi0a3FqUsowDP7zn//w3XffsXbtWqpUqXLNYyIjIwEIDg4GICwsjKlTp3L69GkCAwMBWwbUz8+P2rVrZ9uGu7s77u7uWcpdXV31kBYjup+3Nt1/yaRn4dZ2S99/79IAWFJiKV/Sh9MXbb15fjsWe8u9Jzk9B4bVSlKGrdzL3Zrv9yWgdRj8Bq4NmuDq4oLJfENN2yrc4t8LxE7Pwa1N979o5fa9dupPzBEjRjB//nwWLlyIr68vUVFRREVFkZSUBMChQ4eYMmUKO3bs4MiRI/zwww8MHDiQ1q1bU7++7S98nTt3pnbt2jz00EP88ccfrFixgnHjxjFixIhsE08iIiIit4TLJjp3tZhpVMm2fSImiRMxSU4L60aSceECKa7+AHj5WPLdjm8j23yohl9JJaRERETywKk/Nd977z1iY2Np27YtwcHB9teiRYsAcHNzY9WqVXTu3JmaNWvyv//9j969e/Pjjz/a27BYLCxZsgSLxUJYWBgPPvggAwcOZPLkyc66LBERERHn8wiw/ZscA0DTyv+ubrz9yPmij+cGlB4dTYq7LSnlUyL/f8x0c7cNPkhLziiQuERERG4VTh++dzUVK1Zk3bp112wnJCREk0qKiIiIXO6ynlIAzSqXsO/aduQ8PRqWL/qYbjBp0dGkuAUA4FPGN9/tuHrYelmlpSgpJSIikhfqXywiIiJSHF3RU6pRpRKYL82/vf3IBaeEdKNJOnGGDBfbUoS+5QLy3Y451bbCUMrFJDJiYgogMhERkVuDklIiIiIixVFmT6nkOLBm4OPuQu1ytlWG90dfJDYxzXmx3SAunrIl5yzpSXiVL5vvdpJW2Hrsp8QmkvTHHwUSm4iIyK1ASSkRERGR4iizpxQGJMcC0DTENq+UYcBvx9Rb6uLpiwC4p8TgUjb/SSk3H9t8VBkWdzISEgskNhERkVuBklIiIiIixZGLG7h6276+NISv2WWTnW/TZOckxKQCBZCU8vW0fWEyk3YxoSBCExERuSUoKSUiIiJSXF0x2XnTS5Odu1nMxKekOyemG0hSmm3NH4/0i1gCAvLdjpuvl/3rlLik6w1LRETkluHU1fdEREREpBB5BEDcCXtPqbJ+Hnz3xO3UCvbDw9Xi1NBuBK5desC6EwT16orJZMp3OxYfLyzpSWS4eJCWkFKAEYqIiBRv6iklIiIiUlxd0VMKbKvwKSFlkxBjSyD5VSx9Xe2Yvb2xZNjaSlVSSkREJNeUlBIREREprjInO7/UU0ocxV+wJZC8A9yvqx2zlzeWjGQAUhJTrzsuERGRW4WSUiIiIiLFladtDimStNJedjJ7Sl13UsrbC5dLPaXSkjRXl4iISG4pKSUiIiJSXGUzfA9g0bZjPD5/Bx1fX4fVahR5WDeCixs3kxhnSyS5nDt+XW3ZekpdGr6XrKSUiIhIbikpJSIiIlJc5TB8L2LvaX7aHcXB0/EcOhNf5GHdCC5E7gNMmKwZWE4dua62bHNK2YbvpaVYrz84ERGRW4SSUiIiIiLFVQ49pZpV/v/27jxOrqrO///71l7V+96dPUA2ICQxQAiLbCEJi4jgCIiCgOICX8WMyw9HiMFRGBVFFMUZMegICiiCyJYYIIEhhBCCEAhhS8jWS7rTe1fXen9/VKqSprfq7qq61V2v5+PRj66uunXup+qc3K58+nPOKUnc3rgjN6f2tde1S5JcwVY5a6pH1JYtz6fiU0+SJBVc+pkRxwYAQK4gKQUAADBW9VMpdeyU0sTtjTv2Zy6eLNLZ1CVJcgda5KisGlFbhmHIXZQnSQoHqZQCACBZJKUAAADGqkSlVM9qqKPHF8rtiH0MzNmkVHtIkuQOtspZWTHi9pwehyQpFIiMuC0AAHIFSSkAAICxKrH7XmuPu90Ou+ZMLJYk7W72q7bVn+HArNflNyRJHqNbhss14vacHrskKdhNUgoAgGSRlAIAABir+pm+J0nHHzKF7+UcW1fKjETkjzglST53aqbbRd57W5LU/sprMs3c3NEQAIChIikFAAAwVsWn7wXapGjPCp5jD1ns/OUcm8IXbmpSwFkkScrLt6emzVdfliR1vb9LZiiUkjYBABjrSEoBAACMVZ6ig7e7e07h+8jkEhmxGWw5twNfuL5BAfeBpFSJJyVtOt2xj9Vhu1vRzs6UtAkAwFhHUgoAAGCssjslV37s9ocWOy/0ODWzulCS9FZdm9q6c6e6J1Rfr4A7VimWX5mfkjad7ljFVcThISkFAECSHFYHAAAAgDTyFEvBDsnf0uuhq06aou5QRPMnlyrflTsfC6OFpYraY0m64llTUtKm0+uQglLE7la0syslbQIAMNblzqcPAACAXOQtkdp2S929p+j927ETLQjIepHx0yS9JLfPodKzz0hJmy6vS2qVwnYqpQAASBbT9wAAAMay+GLnfVRK5arOloAkKa/YnbI2XXkuSfFKKZJSAAAkI+lKKbs9uZ1JIpHI4AcBAAAgM+KLnXe3WBpGNuk4kJTKT2VSKj/WVsTuVrSL6XsAACQj6aSUaZqaPHmyrrjiCs2bNy+dMQEAACBVBqmU8gcj2ryrWS/vaNY5s6t1RGVBxkKzSud+v6QUV0rleyVJps2hUHvrIEcDAABpCEmpl156SXfffbd+/vOfa+rUqbrqqqt02WWXqaSkJJ3xAQAAYCQ8xbHv/VRK/fWV3fruw1skST6XPSeSUnvueUCqWKDI+qely2elpE1XgTdxO9jmT0mbAACMdUmvKXXsscfq17/+tWpra7Vs2TL97W9/04QJE3TJJZdo9erV6YwRAAAAw5WolOq90LkkHTelNHF74479GQjIWtHOTnUbPkmSu4/F34fLVVUhmxmSJJlF/NEWAIBkDHmhc4/Ho8985jNas2aNtmzZooaGBi1dulT794/9DzEAAACjjvdAgqSf6XvTKvNV6IkVz7+8o1mmaWYoMGuE6hsUcMfW2corcqWs3byFC+UuPJDsOuGUlLULAMBYNqzd93bv3q3//M//1FlnnaW33npL3/zmN1VYWJjq2AAAADBSiel7fa9zZLMZOvZAtVRTZ1DvN47tnePCDfUKuIslSfnlvpS27XTHNgYKdrPxDwAAyUg6KRUMBnX//fdr8eLFmjZtml555RXdfvvt2rVrl2699VY5HEkvTwUAAIBMGWShc0k6dsrB6WYvj/EpfIG99Qq5Yn9MLahJ7TQ754GKs1AgnNJ2AQAYq5LOJNXU1KigoEBXXHGFfvWrX6myslKS1NnZ869pVEwBAABkEc+BxEs/C51LH15XqlkXHzcpzUFZp33PfkkFMqIh5Y2vSGnbrgOVUiEqpQAASErSlVLNzc3auXOnvv/972vGjBkqKSnp8VVcXMxOfAAAANkmiUqpYyYUyeWIfSwc65VS7XWxaYzuQKtc1ZUpazfq9yu87Q1JUsO9D6SsXQAAxrKkK6WeeeaZdMYBAACAdIivKRVslyIhye7sdYjbYdecCUXauKNZO5q61NDercoCT2bjzJCOZr8kyR1slaOqKmXtGk6njP0NUuUEBRpbUtYuAABjWdJJqVNPPTWdcQAAACAdPEUHb3e3SnnlfR527JRSbdzRLEnatKNZZ8+uyUR0GdfVHpHyJHegRY7yvt+L4TAcDtkVkiSFQmN7B0MAAFIl6aTUa6+91uf9RUVFmjRpkgzDSFlQAAAASBG7Q3IXSoG22BS+fpJSx08p1erKeh03pUTjir2ZjTGDurol5UkeW0CGs3fV2Eg4bFFJUijM52IAAJKRdFJq7ty5MgxDptnzLz+GYcjj8ej666/XzTffLLvdnvIgAQAAMAKe4lhSaoDFzk+fWanTZ6ZujaVsZTvhdOmdgMo/elzK23baY0mpcISkFAAAyUg6KbV9+/Y+729padGmTZt04403qqSkRN/4xjdSFhwAAABSwFsktWrAxc5zRbfpkRRQ+cK5KW/bceBvs2Ez6b2EAADIaUknpSZPntzv/XPmzFFhYaFWrFhBUgoAACDbxBc7H6BSKld0tgQkSXkl7pS37XTGKqTCcsoMhVI+PRAAgLEmZX/GmT9/fr/VVAAAALCQtzj23d+c1OH7O4N6f19H+uKxiGma6mwJSpLyi9OQlHLHPlpHHB5Fu7pS3j4AAGNN0pVSg6mrq1NFRUWqmgMAAECqeEti3weZvtfqD+miX7+gdxs6dPIR5frj5xekP7YMav3XVkXCsXWfvM5wytt3uuxSWIrY3Yp2dspeVDT4kwAAyGEpqZTat2+fbrzxRp1++umpaA4AAACplOT0vUKPQ52BWLLmlZ3NCkei6Y0rwxoef1aS5Ay2K/jG6ylv3+WN/b03YndTKQUAQBKSrpSaN2+eDKP3TiKtra3avXu3ZsyYoT/+8Y8pDQ4AAAApkJi+1zLgYYZh6NgppXr0X3vVFYxoa227Zk8YO9U+7QemJLqDrXJUHZ3y9guPnyetkcyyatlLS1PePgAAY03SSakLLrigz/sLCws1Y8YMLVmyRHa7PVVxAQAAIFWGsND5cVNK9Oi/9kqSNu7YP6aSUp2tIckluQMtclRVpbz9ohOPl9a8pIjTKwdJKQAABpV0Umr58uWDHhOJREhMAQAAZJskK6Uk6djJB5MpG3fs11UnT01PTBbo6opKLskT6ZA9Pz/l7Ts9sc/BoUAk5W0DADAWpWRNqbffflvf+ta3NGHChFQ0BwAAgFSKV0olsfvejOoCFXhif7fcuKNZpmmmMbDMMU1T/mDsdXld6UkaudwH1pQKRRUdY+txAQCQDsNOSnV1dWnlypU65ZRTdOSRR2rdunVatmxZKmMDAABAKsR330ti+p7dZmj+5NjxjR0BfdA0NhbsjnZ0KGCPVUf58lLyd9leHM6Dt7sbBk8AAgCQ65Kevhf34osv6re//a0efPBBTZo0SVu3btUzzzyjU045JR3xAQAAYKSGMH1Pko6bUqpnt+2TFJvCN6U8Lz1xZVC4vl4Bd2x9rLwid1rO0bX2GRlRU6bNqca//V2TvnJlWs4DAMBYkfSfiW677TYdddRR+uQnP6mSkhKtW7dOr7/+ugzDUFlZWTpjBAAAwEjEp++FOqVIaNDDjz1QKSVJL+8YGxU/ofp6BdzFkqT8ivQk2Wy+PNkjAUlSsCOQlnMAADCWJF0p9e1vf1vf/va3dfPNN7OYOQAAwGjiOWQHPX+LlF8x4OFzJhbLaTdkmlJnMJze2DIksLdBIWfsfSioSc+OgrY8nxyRvQo78xXsCqblHAAAjCVJV0p9//vf14MPPqipU6fq29/+trZs2ZLOuAAAAJAqNrt0YOpaMutKeZx2/fXLJ+q17y3WLz/9kfTGliFdXbHFzW2RoPLGV6blHLa8PNnD3ZKkYNfgFWkAAOS6pJNSN9xwg95++2397//+r+rq6rRgwQLNmTNHpmmquXlslHUDAACMWd4DSakkduCTpGMmFMvnGvLyo1nLfuKZkqT8qkIVnPrRtJzj0Ol7oe6xUWEGAEA6DXnrkVNPPVW///3vVVdXp6985SuaP3++Tj31VJ144on66U9/mo4YAQAAMFLxHfiSXOx8rOloiSWL8ks8MlyutJzDluc7uKZUIJKWcwAAMJYMez/cgoICffGLX9SGDRu0efNmHX/88br11luH1MYtt9yi4447TgUFBaqsrNQFF1ygbdu29Timu7tb1157rcrKypSfn6+LLrpI9fX1PY7ZuXOnzj33XPl8PlVWVuqb3/ymwmH+OgUAAJAQX+w8iel7Y1Fnc2yNp7zi9Oy8J0n2vDw5IrHpe+FANG3nAQBgrBh2UupQs2fP1u233649e/YM6Xlr167VtddeqxdffFGrV69WKBTS4sWL1dnZmTjm61//uh599FE9+OCDWrt2rfbu3asLL7ww8XgkEtG5556rYDCoF154Qb///e91zz336KabbkrFSwMAABgbvMWx70OolHr0X3v1//60Waf86Gn5g6O78qfzQKVUOpNShssluxlbSyoUMtN2HgAAxoqULhTgdDqHdPyTTz7Z4+d77rlHlZWV2rRpkz760Y+qtbVVd999t+677z6dccYZkqSVK1dq1qxZevHFF3XCCSdo1apVevPNN/XPf/5TVVVVmjt3rr7//e/r29/+tr73ve/JlabybAAAgFFlGJVSL7zXqEf/tVeS9OquFi08vCz1cWWAGQqp4Z/PS7bJsm1/U9IRaTuX04gl70JhI23nAABgrMiq1StbW1slSaWlpZKkTZs2KRQKadGiRYljZs6cqUmTJmn9+vU64YQTtH79es2ePVtVVVWJY5YsWaIvf/nLeuONNzRv3rxe5wkEAgoEAomf29raJEmhUEihEDuljHbxPqQvcxP9jzjGQm6j/3uzuQtllxTpbFI0yfdl3oQi/emlXZKkDe836thJhWmMMPXi/d9dW6uu9rBUJBnvv6FQ6Oy0ndNhj03bC0cYf9mAawEkxkGuo/+tkez7nTVJqWg0quuvv14nnXSSjj76aElSXV2dXC6XiouLexxbVVWlurq6xDGHJqTij8cf68stt9yiFStW9Lp/1apV8vl8I30pyBKrV6+2OgRYiP5HHGMht9H/B02rq9ORkva8u0WbQ48n9Zz2bin+cfHJl9/W1K630hZfOq3/x2MKuGskSW2BFj3+eHKvfzi6Zk2X6qX9s2an9TwYGq4FkBgHuY7+z6yurq6kjsuapNS1116rLVu26Pnnn0/7uW644QYtW7Ys8XNbW5smTpyoxYsXq7BwdP0FEL2FQiGtXr1aZ5111pCnlGL0o/8Rx1jIbfR/b8Yr+6TaBzWhLF8155yT1HNM09Rv3l2nhvaAdvmdWrzkdDnsKVmSNCPi42De5Ml67w2vJGnanOmakOTrH44tvj164a/vq3LCVC06Z1bazoPkcC2AxDjIdfS/NeIz0gYzoqTUueeeq9/+9reqqakZSTO67rrr9I9//EPr1q3ThAkTEvdXV1crGAyqpaWlR7VUfX29qqurE8e89NJLPdqL784XP+bD3G633O7ei1w6nU4G6RhCf+Y2+h9xjIXcRv8fIj+2HpQt0CbbEN6T46aU6rHXa9UZjOi9pm4dPb4oXRGmTaC+WaatQDKjKppUkdYx4cmLrWcaCZmMvSzCtQAS4yDX0f+Zlex7PaI/da1bt05+v3/YzzdNU9ddd53+9re/6emnn9bUqVN7PD5//nw5nU6tWbMmcd+2bdu0c+dOLVy4UJK0cOFCvf7662poaEgcs3r1ahUWFurII48cdmwAAABjyjAWOpek46aUJG6/vGN/6uLJoI662F9rXaEOuaurBjl6ZJzu2N98g93htJ4HAICxwNL662uvvVZ//OMfdd9996mgoEB1dXWqq6tLJLqKiop09dVXa9myZXrmmWe0adMmXXnllVq4cKFOOOEESdLixYt15JFH6rOf/az+9a9/6amnntJ3v/tdXXvttX1WQwEAAOQkb3Hsu79lSE87dkpp4vbGD5pTF08GdTTF1rVwB1rkqKpM67nM2tjC8P7aRoWbR+f7BQBApowoKTV58uQRlb/9+te/Vmtrq0477TTV1NQkvu6///7EMT/72c903nnn6aKLLtJHP/pRVVdX66GHHko8brfb9Y9//EN2u10LFy7UZz7zGV1++eW6+eabR/LSAAAAxpZhVkrNrC5Q/oHqn5d37JdpmqmNKwM622I7ALkDLXJWpbdSKrB+Xez7vmaFdu9J67kAABjtRrSm1JYtW0Z08mQ+1Hg8Ht1555268847+z1m8uTJ7G4CAAAwkHilVKhLCgckR3IV5Q67TfMmFeu5dxpV3xbQ7ma/JpaOrt2K/V2SPJLb7JItzTstu/LcUpMUcXgU7exM67kAABjtsmb3PQAAAKSRu0iSIcmMTeErSL5i6NLjJ+m0GZU6bkqJaoo86YowPUxT/nDsI6/PFUn76Vx5sWRfxO5WNMntsAEAyFUkpQAAAHKBzSZ5imLT97pbhpSUOmf2yHZatlQ0qsiUI6UuqWjGpLSfzpV/MCkV6aBSCgCAgVi60DkAAAAyaJiLncfVtvr1wnuNqm0d/u7LmWizB7tdoaJYAq7mU+el5xyHcBV4E7eDbVRKAQAwECqlAAAAcsUwFzuXpPs37tQND72uqCkZhnTt6Udo8ZF9V1t5nXZNqyrocd+7De3qCvacPrfqzXrd+cy7Mk3JZki3XDhbFx+X+mqmzpagJCmvOP07MzsL8mSYEZmGXcGO7rSfDwCA0WzISanly5frqquu0uTJk9MRDwAAANJlmJVSta1+3fDQa/Ie9pPEfSs/iH31xeWwaVyRt8d9ta3dCoR7r+nkO0yKhgrl3/MZfeehLfro9ArVfOi5IxGNSEF/WJKUn4GklD3PJ3u4TWGnTwGSUgAADGjISalHHnlEP/jBD3Tqqafq6quv1kUXXSS3O/2/4AEAADBC8Uopf/OQnra9sVNRU7K5mpI6PixpZ/uH7rRJNlffx9tcTXLkvaNw21ztaOxKaVLKbAlJkhwum1ze9E8SsOXlyR7Zp7DTp2BnIO3nAwBgNBvyb+ZXX31Vmzdv1sqVK/W1r31N1157rS655BJdddVVOu6449IRIwAAAFLBWxL7PsTpe1PL82QzpM4dX07cZ0g6bXq5vK7eHycrCtz6+NzxPe77+7/2qKHtYJLGHwzr2bcb5Sr/pxz578hwtMtuGJpS7htSbIPJX/eS5FkqV1u9gu+9J/cRR6S0/Q+LJaViFVIhfyit5wIAYLQb1p+L5s2bp3nz5um2227To48+qpUrV+qkk07SzJkzdfXVV+tzn/ucioqKUh0rAAAARmKY0/dqiry65cJj9J2HbIqYpuyGoR9eePSQ1n+ae9bcXvfdv3GnbnrudSn/Hdkc7frPC49OaZWUJEW6Dckjufz7Zc/A51Nbfr4cRmyaYtRbMMjRAADkthHtvmeapkKhkILBoEzTVElJiX75y19q4sSJuv/++1MVIwAAAFJhBAudX3zcJD3//52uP33hBD3//52ekgXJLz5ukk45bKokaf5hjrQsch4Oxf4G6w61yV5WlvL2P8w1YYIK5s2WJPnO/ljazwcAwGg2rKTUpk2bdN1116mmpkZf//rXNW/ePG3dulVr167VO++8ox/84Af66le/mupYAQAAMBLDrJSKqynyauHhZSmtZjp/9kxJUr7Pn7I2DxWOxtY+9TqCMmwj+nts0lweuyQpFOi9sDsAADhoyL+ZZ8+erRNOOEHbt2/X3XffrV27dunWW2/VEYfMz7/00ku1b9++lAYKAACAERpBpVS6lHvKJUmN3Y0pb9sMBhWy5UmSfB4j5e33x+mOJaWC3SSlAAAYyJDXlPrUpz6lq666SuPHj+/3mPLyckWj0REFBgAAgBRLVEoNbfe9dCrzxqbUNfmT29lvKMINDQq4iyVJeYXOlLffH6cn9hE71B3O2DkBABiNhlwpFV876sP8fr9uvvnmlAQFAACANIjvvjfM6XvpUOQqlSQ1dzdr5/72lLYdbmhQwFUsScovS+0C6gMJvbpRktT81JqMnRMAgNFoyEmpFStWqKOjo9f9XV1dWrFiRUqCAgAAQBpk4fS9F9/tlmnaZMrUX199K6VtB+sbFHQXSpIKqgtT2vZAoju3S5L8e1nOAgCAgQyrUsowes/J/9e//qXS0tKUBAUAAIA0iE/fC3dLoW5LQ4mrKvDJDMfWfdrT3pDStjt3N8k07JIZVf648pS2PRCnM/ZZOWw6ZJpmxs4LAMBok/SaUiUlJTIMQ4ZhaPr06T0SU5FIRB0dHfrSl76UliABAACQAq4CybBJZjRWLeWstjoiVRa6ZUYKJGe76jtTW1nUWd8mSXIF2+SqmZDStgfidMU+J0fsLpl+vwyfL2PnBgBgNEk6KXX77bfLNE1dddVVWrFihYqKihKPuVwuTZkyRQsXLkxLkAAAAEgBm03yFMUWOve3SAXWJ6UqCtwywwWSpMYUL3ZuP/Nc6b4PlF9dJM+MGSlteyBOl00ypbDdo2hnp2wkpQAA6FPSSakrrrhCkjR16lSdeOKJcjozt4MJAAAAUsRTfCAplR078BW4HTIisaRUazC1SSl/KPZRt3BiueyH/EE13Zweh+SXIg63ol1dGTsvAACjTVJJqba2NhUWxhaHnDdvnvx+v/x+f5/Hxo8DAABAFvKWSM3bs2axc8Mw5LMXKyCpM5LaRFlnS1CS5CtypbTdwbi8B5JSdreinZ0ZPTcAAKNJUkmpkpIS1dbWqrKyUsXFxX0udB5fAD0SiaQ8SAAAAKRIfLFzf4uVUfRQ4CxTQFLAbFUoEpXTPuS9ePrU2RqQJOUVu1PSXrKc3tiMgvj0PQAA0LekklJPP/10Yme9Z555Jq0BAQAAII08xbHvWVIpJUml7jI1SjIc7WrqCKq6yDPiNiMdHWp96wNJXrmDrSNubyhcebHKrIid6XsAAAwkqaTUqaeemrg9depUTZw4sVe1lGma2rVrV2qjAwAAQGplYaVUha9cb3dJNnuH9rUHUpKUCu3apY7aVinPK/OFf0qfmJeCSJPjyo/FH7G7FemgUgoAgP4MuTZ66tSp2rev93a9+/fv19SpU1MSFAAAANIkCyulagoqJMUqpfZ3BVPSZqi+XgF3bHFzX3l+StpMVv7MI2I3DJuMcZMyem4AAEaTISel4mtHfVhHR4c8npH/VQsAAABplKiUyo7d9yTp6hPmSJIMe0DHTc1LSZv+PfsUcXglSQU1JSlpM1lFpyyUDnxcdhw+PaPnBgBgNElq+p4kLVu2TFJsh5Qbb7xRPp8v8VgkEtGGDRs0d+7clAcIAACAFIpXSmXR9L3xRcXyOrzyh/1q6m6Sz+kb/EmDaN+7X1KZ7GG/vOMrRh7kEBiGIafbrlB3RMHusHyFmd39DwCA0SLppNTmzZslxSqlXn/9dblcB3+5ulwuzZkzR9/4xjdSHyEAAABSx3ugaiiLpu8ZhqEyT5l2d+xWk79JEwsmjrjN9n0dkiR3oFWOysxPoYsnpULd7EwNAEB/kk5KxXfdu/LKK/Xzn/9chYWFaQsKAAAAaZKFC51LUrm3XLs7dqvR35iS9jpbApJNcgdb5KiqSkmbQ+HyONTVGlSwMyCpIOPnBwBgNBjymlIrV64kIQUAADBaZeFC56ZpqqMrtv7TX/+1NSVtdnXEKpRcwVbZiotT0maygrt2KfL+25Kkuv/+XUbPDQDAaJJ0pVRcZ2enbr31Vq1Zs0YNDQ2KRqM9Hn///fdTFhwAAABS7NBKKdOU+tjAJtMMw9C7tYZUKG3a/UFK2uzstkmFktP097lJTzoZbrfsoS5JUijA9D0AAPoz5KTU5z//ea1du1af/exnVVNTk/Ff8gAAABiBeKVUJCCF/JJr5IuKp0KevUSdkroiLSNua/+f/qSALfa6fG11anvoIZVdfPGI202WPS9P9nBAkhQKRAc5GgCA3DXkpNQTTzyhxx57TCeddFI64gEAAEA6uQskwy6ZkdgUvixJShW6StUpKWK0qTMQVp57yB9TJUmhujrVf/8/FZgb24DHHWhVw4qbVXjqqXJWV6cw4v4ZXq/skQNJqaCZkXMCADAaDXlNqZKSEpWWlqYjFgAAAKSbYWTlYudl3nJJkuFoV2NHYNjtBHd8IEWjskeDskcCcgdbpGhUwQ92pijSwRk2m5xGWJIUCpOUAgCgP0NOSn3/+9/XTTfdpK6urnTEAwAAgHTLwsXOq3wHk1L72oeflHJNmSzZbPrIq7fro88tU0H7Tslmk2vypFSFmhSHLTZtLxxmqQsAAPoz5Lro2267Te+9956qqqo0ZcoUOZ3OHo+/8sorKQsOAAAAaZCFlVLjCiqlNslwdKihrXvY7Tirq1Vz8wrV3rRcRjQq0zBUufymjE3di3PYYxVS4eiQ/wYMAEDOGHJS6oILLkhDGAAAAMiYLKyUmlRUKe2RDCOiXW1NksYNu63iT35SeSefrK7339fz77yraRdemLpAk+Q88Ck7ZNplmiabAwEA0IchJ6WWL1+ejjgAAACQKYlKqWZLwzhUTVGBzLBPhqNLu1rrJc0eUXvO6mr5ysoU3rcvNQEO9fyuWBIqYjhlBoMy3G5L4gAAIJtRTwwAAJBr4pVSWTR9ryLfrWgkX5JU19FgcTQj53TFPmZHHB5FOzstjgYAgOw05KRUJBLRT37yEx1//PGqrq5WaWlpjy8AAABkOW9J7HsWTd+rKnQrzx6Lq6xo+AudZ4uSJWdKkuzTjpQtP9/iaAAAyE5DTkqtWLFCP/3pT3XxxRertbVVy5Yt04UXXiibzabvfe97aQgRAAAAKZWFC52X5bt1xrTDJUlHThz9xfz5R02XJEWcXtlcLoujAQAgOw35N/69996r//mf/9G///u/y+Fw6NJLL9Vvf/tb3XTTTXrxxRfTESMAAABSKQsXOpekcm+5JKnR32hxJCPndNslSaHusMWRAACQvYaclKqrq9Ps2bGFJ/Pz89Xa2ipJOu+88/TYY4+lNjoAAACkXhZWSkljKynl8hxISgUiFkcCAED2GnJSasKECaqtrZUkHX744Vq1apUkaePGjXKzqwgAAED2Syx0nj2770ljKyll64z94TboDyu4Z4/F0QAAkJ2GnJT6xCc+oTVr1kiS/t//+3+68cYbNW3aNF1++eW66qqrUh4gAAAAUixeKZVl0/defCcY+/7BDm2ra7c4mpHpXv+cJMk0pfYXXrI4GgAAspNjqE+49dZbE7cvvvhiTZo0SevXr9e0adP0sY99LKXBAQAAIA3iu+/5W2JZE8OwNJy4aCi2S13U1q597QHNqC6wOKLhcxX6ErcD7X4LIwEAIHsNOSn1YQsXLtTChQtTEQsAAAAyIT59LxqSQl2SK8/ScOImFFVJ+yWbo1N17R2Syq0OadgceT7ZIgFF7W4FSUoBANCnISel/vCHPwz4+OWXXz7sYAAAAJABrjzJ5pCi4Vi1VJYkpSYWlcs0bTKMqHa2NEiaYnVIw2bLy5M90h5LSnUFrQ4HAICsNOSk1Ne+9rUeP4dCIXV1dcnlcsnn85GUAgAAyHaGEauW6mqMrStVNN7qiCRJVQVemeF8Gc427WlvsDqcEbHl5ckRCSgkKdRJUgoAgL4MeaHz5ubmHl8dHR3atm2bTj75ZP3pT39KR4wAAABItfhi51m0A19FgVtmOLaOVH3HPoujGRmbzyd7uFuSFPSHLI4GAIDsNOSkVF+mTZumW2+9tVcVFQAAALJUfF0pf4uVUfRwaFKqqbvR4mhGJjZ9LyBJCgXCFkcDAEB2SklSSpIcDof27t2bquYAAACQTvEd+LpbLA3jUPluh2zRWFKqJbjf4mhGJj59T5JC3RGLowEAIDsNOSn197//vcfXI488orvuukuf+cxndNJJJw2prXXr1uljH/uYxo0bJ8Mw9PDDD/d4/HOf+5wMw+jxtXTp0h7H7N+/X5dddpkKCwtVXFysq6++Wh0dHUN9WQAAALklMX2vxcooejAMQ157LFnWGc6eaYXDYfN6ZY8cmL4XNC2OBgCA7DTkhc4vuOCCHj8bhqGKigqdccYZuu2224bUVmdnp+bMmaOrrrpKF154YZ/HLF26VCtXrkz87Ha7ezx+2WWXqba2VqtXr1YoFNKVV16pa665Rvfdd9+QYgEAAMgp8el7WVQpJUmFzhLtkxRUm4LhqFyOlBX2Z5ThcMiu2LS9iDHkj9wAAOSEIf+GjEajKTv52WefrbPPPnvAY9xut6qrq/t8bOvWrXryySe1ceNGHXvssZKkX/ziFzrnnHP0k5/8ROPGjUtZrAAAAGNKFlZKSdJZM6bpvh3S9HGmDMPqaEam/JMfV+26OuV94t+sDgUAgKw07D89NTY2qq2tLZWx9OnZZ59VZWWlZsyYoS9/+ctqampKPLZ+/XoVFxcnElKStGjRItlsNm3YsCHtsQEAAIxaiYXOs2ua3JKZ0yRJEaNNTvvorJKKc+d7JLGmFAAA/RlSpVRLS4v+4z/+Q/fff7+am2MfYCoqKnTllVfqxhtvlM/nS2lwS5cu1YUXXqipU6fqvffe03e+8x2dffbZWr9+vex2u+rq6lRZWdnjOQ6HQ6Wlpaqrq+u33UAgoEAgkPg5nlwLhUIKhdiyd7SL9yF9mZvof8QxFnIb/T84w1Ugh6RoV7MiWfQ+FTmLJEmN/sYR95/V48B24JN2oCvIWLSI1WMA2YFxkNvof2sk+34nnZTav3+/Fi5cqD179uiyyy7TrFmzJElvvvmmfvGLX2j16tV6/vnn9dprr+nFF1/UV7/61eFFfohLLrkkcXv27Nk65phjdPjhh+vZZ5/VmWeeOex2b7nlFq1YsaLX/atWrUp5Yg3WWb16tdUhwEL0P+IYC7mN/u9fdct7WiCppW6Hnnv8cavDSQiYsT8cdoW79LfH/ia34R7kGYOzahx0fOCU5NGuD/bo8cffsyQGxHAtgMQ4yHX0f2Z1dXUldVzSSambb75ZLpdL7733nqqqqno9tnjxYn32s5/VqlWrdMcddwwt2iQddthhKi8v17vvvqszzzxT1dXVamho6HFMOBzW/v37+12HSpJuuOEGLVu2LPFzW1ubJk6cqMWLF6uwsDAtsSNzQqGQVq9erbPOOktOp9PqcJBh9D/iGAu5jf4fnLGzWNr+c5V4pHPOOcfqcBKC4ah+/NefqDviV8VRR+rkKTOG3ZbV4+C13zylFyUVNLVp6alnyZaXl/EYcp3VYwDZgXGQ2+h/ayS73FPSSamHH35Yv/nNb3olpCSpurpaP/rRj3TOOedo+fLluuKKK5KPdAh2796tpqYm1dTUSJIWLlyolpYWbdq0SfPnz5ckPf3004pGo1qwYEG/7bjd7l67+EmS0+lkkI4h9Gduo/8Rx1jIbfT/APLLJUlGd2tWvUdv1LWoy++TzeXXX17bptOnHT3iNq0aB5Ftb0g6Tt1NrbJ1dclZXJzxGBDDtQAS4yDX0f+Zlex7nXRSqra2VkcddVS/jx999NGy2Wxavnx5sk2qo6ND7777buLn7du369VXX1VpaalKS0u1YsUKXXTRRaqurtZ7772nb33rWzriiCO0ZMkSSdKsWbO0dOlSfeELX9Bdd92lUCik6667Tpdccgk77wEAAAzk0IXOTVPZstVdRYFb0XC+bK4mNXTtszqcEXF57FJIitjdinZ2Wh0OAABZJ+ktTcrLy7Vjx45+H9++fXuvRccH8/LLL2vevHmaN2+eJGnZsmWaN2+ebrrpJtntdr322ms6//zzNX36dF199dWaP3++nnvuuR5VTvfee69mzpypM888U+ecc45OPvlk/fd///eQ4gAAAMg53uLYdzMiBTssDeVQ5fkumeECSdL+7qZBjs5uTq9LEkkpAAD6k3Sl1JIlS/Qf//EfWr16tVwuV4/HAoGAbrzxRi1dunRIJz/ttNNkmma/jz/11FODtlFaWqr77rtvSOcFAADIeU6fZHNK0ZDkb5HcBVZHJElyO+xyKrYDX1uw2eJoRsaVF5u6EHF4FE1ywVcAAHLJkBY6P/bYYzVt2jRde+21mjlzpkzT1NatW/WrX/1KgUBAf/jDH9IZKwAAAFLFMCRvidTZIHW3SJpodUQJeY4SdUrqijTLNE0ZWTK1cKhceR5JsUqpCJVSAAD0knRSasKECVq/fr2+8pWv6IYbbkhUOBmGobPOOku//OUvNWnSpLQFCgAAgBTzFseSUv4WqyPpochZqk5JUVubOoMR5buT/siaVVz5sSUnojanIh3tFkcDAED2GdJv+KlTp+qJJ55Qc3Oz3nnnHUnSEUccodLS0rQEBwAAgDSKL3be3WJlFL2Uecu0NywZjnbtaw+M2qSUu9CXuN3dxvQ9AAA+bFi/4UtKSnT88cenOhYAAABkUnyxc392rd1UlVeh11sPJqWmludZHdKwOPJ9skVDitqcCnZ0Wx0OAABZJ+nd9wAAADDGxCulsmz63viC2I7OhqND9W1+i6MZPltenuyRgCQp2BmwOBoAALIPSSkAAIBcFa+UyrLpe5OKDiSljKgaOvdbHM3wOSoq5DgwL8GommBtMAAAZCGSUgAAALnKWxL7nmWVUufOnqhCV5Ek6aOzPBZHM3ye6dPlm1AlSXIff6LF0QAAkH1ISgEAAOSqLF3oPM/tUKWvQpLU6G+0OJqRcbrtkqRQd8TiSAAAyD4kpQAAAHJVYqHzFiuj6FOZt0zSGEhKeWLz94KBsMWRAACQfUhKAQAA5KrEQufZtfueJJV7yyVJTf4miyMZGReVUgAA9IukFAAAQK7K0oXOJWlfi0uS9Pctb1kcych0r39OktTwhz9ZHAkAANmHpBQAAECuSlRKtVgZRZ/e3hP7vnXfXkWjprXBjICtPVaFFuzotjgSAACyD0kpAACAXBXffa+7VTKzK/FT7I6tKSV7u5q7gtYGMwIOW1SSFI7ysRsAgA/jtyMAAECuik/fMyNSoN3SUD4svqaUYW/Xvo6AxdEMnzO2zrlCJKUAAOiF344AAAC5yumV7O7Y7SxbV6o6v0KSZDjata999CalHE5DkhSRQ2aExc4BADgUSSkAAIBcFq+WyrId+CYVVkmSbI4u1bZ2WBzN8LlcB5JSdo+iXV0WRwMAQHYhKQUAAJDLsnSx8wlF5TJNuyRpV2uDxdEMn9Mdew1hu1vRzk6LowEAILuQlAIAAMhl8UqpLJu+V1XolRnOlyTtaR/FSSlPbFGpiN1NpRQAAB9CUgoAACCXxXfgy7JKqYoCt8xwgSSpvnOfxdEMXyIp5fBQKQUAwIeQlAIAAMhl8el7WVYpFUtKxSqlmrqbLI5m+Fx5Lknx6XtUSgEAcCiSUgAAALkssdB5i5VR9JLnsqvcWy5Jqi4JWRzN8BWdeLwkKeopkGvqVIujAQAgu5CUAgAAyGWJhc6za/c9wzD0qY8cKUmaNs60OJrhK5x/jCQpEjVkr6iwOBoAALILSSkAAIBclqULnUtKVEqN5ul7To89cTsUiFgYCQAA2YekFAAAQC5LVEq1WBlFn+JJqUZ/o8WRDJ/dYZPNZkiSQt0kpQAAOBRJKQAAgFwW330viyulGv2NMs3ROYXPDIXkcMWSUv7dtRZHAwBAdiEpBQAAkMuydKFzSdr4bmyB812t9frn1gaLoxme7i1bZLTEKr0a//qoxdEAAJBdSEoBAADksvj0vSyslPLYimI3bEHtaW2xNJbhsvl8ckQCkqSQf/TuIggAQDqQlAIAAMhlh1ZKRaNWRtLL+KJimRGXJGlna73F0QyPLS9P9gNJqSBJKQAAeiApBQAAkMvilVIypUCblZH0UlHglhkpkCTVdozmpFS3JHbfAwDgw0hKAQAA5DKnR3J4YrezbApfRYFb0XAsKdXQNTp34LP5fLKHDySlgtlViQYAgNVISgEAAOS6+A58WbbYeVmeW+aBpFRzd5PF0QyP4XbLHo1N2wsFR+cOggAApAtJKQAAgFyXpYuduxw2uVQoSWoL7bc4muExDENOW2zaXihiWBwNAADZhaQUAABArjt0sfMsk+eIVXH5oy0yzdFZaeSwxabthcMWBwIAQJYhKQUAAJDr4pVS/mZLw+hLsatUkhS1takjMDqzOg5HLJkWjtotjgQAgOxCUgoAACDXxSulsmz6niSVecolSYa9Q/vaAxZHMzxOR2zaXti0j9pqLwAA0oGkFAAAQK5LVEq1WBlFn845arokqbSwW5WFHoujGZ6Kiz8hSfKcdqbFkQAAkF1ISgEAAOS6+O57WVgpdea0IyRJHeEW+Vyj86OrpzpW7RUKGzIMFjsHACBudP5mBwAAQOpk8ULnpd7YmlIRM6KWQIu1wQyT0x1bSyoUiFgcCQAA2YWkFAAAQK6LT9/Lwkopp82pEneskqvR32hxNMPj8jgkkZQCAODDSEoBAADkukSlVPbtvheORFXgjCWlNuz8wOJohie6831JUndTm4K7dlkcDQAA2YOkFAAAQK7L4oXO27rDer8u9pH1gVfesDia4Qn+62VJUqg7pMC771ocDQAA2YOkFAAAQK6LV0pl4fS9Yq9TihRIkloC+y2OZnjc+bFdAyN2tyKdXRZHAwBA9iApBQAAkOsSu++1SdGotbF8iM1myGsrliR1hLNvemEyXIXe2A3DpmBbp7XBAACQRUhKAQAA5Lr49D2ZUqDVykj6lO+M7cDXbbYoEjUtjmbonPk+yYwl+4Lt3RZHAwBA9iApBQAAkOscLsnpi93OwnWlStxlsRv2djV3Ba0NZhjs+XmyRwKSpGAnSSkAAOJISgEAAOCQxc6zb4pcubdckmQ42rWvPWBxNENnzzs0KTX6kmoAAKQLSSkAAABk9WLnNfkVkiSbvWNUJqUMn0+OSKxCKtQVsjgaAACyB0kpAAAAHFIp1WJlFH2aUFglSTIcXaptbbc4mqHrUSnVHbY4GgAAsgdJKQAAAByyA1+LpWH0ZWJRmUzTLkna2dZgcTRDZ8vLkz0cS0qFSEoBAJBAUgoAAAAHp+9lYaVUZaFHZjhfkrS/e7/F0QydLS9PTpcR+6GkwtpgAADIIiSlAAAAcHD6XhZWSh0zoUhHVk6QJC05xmdxNENn8/lUfNrJkiTPGYstjgYAgOxhaVJq3bp1+tjHPqZx48bJMAw9/PDDPR43TVM33XSTampq5PV6tWjRIr3zzjs9jtm/f78uu+wyFRYWqri4WFdffbU6Ojoy+CoAAADGgESlVPbtvud22FWdF6swavQ3WhzN8Dg9semHoUDE4kgAAMgelialOjs7NWfOHN155519Pv6jH/1Id9xxh+666y5t2LBBeXl5WrJkibq7uxPHXHbZZXrjjTe0evVq/eMf/9C6det0zTXXZOolAAAAjA1ZvNC5JJV5yySN3qSUy30gKdVNUgoAgDiHlSc/++yzdfbZZ/f5mGmauv322/Xd735XH//4xyVJf/jDH1RVVaWHH35Yl1xyibZu3aonn3xSGzdu1LHHHitJ+sUvfqFzzjlHP/nJTzRu3LiMvRYAAIBRLV4plYXT9ySp3FsuafQmpZwHklJBKqUAAEiwNCk1kO3bt6uurk6LFi1K3FdUVKQFCxZo/fr1uuSSS7R+/XoVFxcnElKStGjRItlsNm3YsEGf+MQn+mw7EAgoEAgkfm5ra5MkhUIhhUKhNL0iZEq8D+nL3ET/I46xkNvo/6EznAVySDK7mhXOwvdt175Ygf+at9/V9XMCcjsGL/jPpnHgf36tpMlqXvWMgp+cKsMwrA4pJ2TTGIB1GAe5jf63RrLvd9Ymperq6iRJVVVVPe6vqqpKPFZXV6fKysoejzscDpWWliaO6cstt9yiFStW9Lp/1apV8vlG3+KZ6Nvq1autDgEWov8Rx1jIbfR/8ko639VHJXU11+qfjz9udTi9bNrRKhVL9Z2NevDRJ1XqTv652TAOnO9vk8omK9jh15OPPCLT5bI6pJySDWMA1mMc5Db6P7O6urqSOi5rk1LpdMMNN2jZsmWJn9va2jRx4kQtXrxYhYWFFkaGVAiFQlq9erXOOussOZ1Oq8NBhtH/iGMs5Db6fxia3pHevlk+I6hzzjnH6mh6eerhkOq7JMPRrtnHnaQ5E4oGfU42jYONj2+RJEXsHp11yilylJVZGk+uyKYxAOswDnIb/W+N+Iy0wWRtUqq6ulqSVF9fr5qamsT99fX1mjt3buKYhoaGHs8Lh8Pav39/4vl9cbvdcrt7/3nN6XQySMcQ+jO30f+IYyzkNvp/CPJju9sZgTY57TbJZrc4oJ7GF1ZJB5JS+7vCQ+rXbBgHLrdDCkoRu1v2YNDyeHJNNowBWI9xkNvo/8xK9r22dPe9gUydOlXV1dVas2ZN4r62tjZt2LBBCxculCQtXLhQLS0t2rRpU+KYp59+WtFoVAsWLMh4zAAAAKNWfKFzSeputSyM/kwsii3pYNhC2tPaYm0ww+Dyxj6ch+1uRZOc0gAAwFhnaaVUR0eH3n333cTP27dv16uvvqrS0lJNmjRJ119/vf7zP/9T06ZN09SpU3XjjTdq3LhxuuCCCyRJs2bN0tKlS/WFL3xBd911l0KhkK677jpdcskl7LwHAAAwFHan5MyTQp2Sv1nylVodUQ/ji4pkRtwy7AHtaq2XNNPqkIbE6XNKrbHpe9HOTqvDAQAgK1ialHr55Zd1+umnJ36Or/N0xRVX6J577tG3vvUtdXZ26pprrlFLS4tOPvlkPfnkk/J4PInn3Hvvvbruuut05plnymaz6aKLLtIdd9yR8dcCAAAw6nlLYkmp7harI+mlosAtM1wgwx7Q3s56q8MZMpcvtrB5xO4mKQUAwAGWJqVOO+00mabZ7+OGYejmm2/WzTff3O8xpaWluu+++9IRHgAAQG7xFkttuyV/i9WR9FJR4FY0ki+bGrWvq9HqcIbMnR/7o2rE4Vakk+l7AABIWbymFAAAADLMUxz7noWVUmV5sUopSdrf3WRxNEPnKvBKkkzDrlA7lVIAAEgkpQAAABAXX+zc32xpGH1xOWxyqUiS1B7ab3E0Q+cq9CZuB9v9FkYCAED2ICkFAACAmHilVBZO35Okw0prJEk1ZWGLIxk6z/RpshsRSZJ92iyLowEAIDuQlAIAAEBMvFIqC6fvSdIVx8+WJE0oH4VJqZkzE1P47IdNtzgaAACyA0kpAAAAxCSm77VYGUW/yrxlkqQm/+hbU0qSXG67JCnUHbE4EgAAsgNJKQAAAMRk8ULnklTuLZckNfpH3+57kuT0xJJSwQBJKQAAJJJSAAAAiPOWxL5naaVUPCm1v3u/guHRN4XP6YolpQJNbRZHAgBAdiApBQAAgJgsX+h8y86IZBqKmBH99/OvWx3OkEQ6OhV86f8kSQ1/uNfiaAAAyA4kpQAAABCT5Qudux1ORSM+SdKu9gaLoxkam9cjeyQgSQoFTYujAQAgO5CUAgAAQEyWV0pVFLhlhgskSXUd+yyOZmgMu10OxaYchkIWBwMAQJYgKQUAAICYeKVUsF2KZN+aTRX5B5NSjd2jb7Fzhy0qSQqzzjkAAJJISgEAACAuXiklSd2tloXRnyKvU0YklpRqDTRZHM3QOeyxaXvhCB/BAQCQSEoBAAAgzu6QXLGkTzauK2WzGfLYiiVJHeFma4MZBqcjlpQKmXaLIwEAIDuQlAIAAMBB8Sl8/uxM+hQ4SyVJgWiLItHRtWC402lIkiKGU9Fg0OJoAACwHkkpAAAAHJTli52XuGNJKTna1dQZsDaYIXK4Yh+9w3aPop2dFkcDAID1SEoBAADgoHilVBZO35OkCl+5JMlwdGhf++hKSrk8sWl7Ebtb0c4ui6MBAMB6JKUAAABwkKco9j1Lp+/V5FVKkmyO9lGXlHL2SEpRKQUAAEkpAAAAHOQtiX3P0kqpc46aLkky7H7NqvFZHM3QlH3sHEmSUTNJrsmTLI4GAADrkZQCAADAQYmFzlusjKJfCyZPkNPmlCRFbe0WRzM0eYdPliSFooZsHo/F0QAAYD2SUgAAADgoyxc6NwxD5d7YulKN/kaLoxma+PS9UCBicSQAAGQHklIAAAA4KMsXOpc0epNS7lhSKho2FQlHLY4GAADrkZQCAADAQVleKWWaptxGbDH2Fz/YYW0wQ2S07U/c7njjbQsjAQAgO5CUAgAAwEFZXillGIY2vhuSJD38+lsWRzM0wTdely0SlCS1rFtvcTQAAFiPpBQAAAAOiu++l6WVUpLkc8Ri7Io0WxzJ0Nh8PtkjAUlSsLPb4mgAALAeSSkAAAAcFJ++l6WVUpJU6CyVJIWMVnWHRs+i4ba8vEOSUkGLowEAwHokpQAAAHBQvFIq2CFFQtbG0o8yT5kkyWbv0L72gMXRJM+WlydHJFYhFeoOWxwNAADWIykFAACAgzxFB29n6RS+yrwKSZLhaNe+jlGUlDp0+p6fpBQAACSlAAAAcJDNLrkLY7ezdArfuIJKSbGkVEPb6Fmb6dDpe6EASSkAAEhKAQAAoKf4ulJZWik1qfBAUsoW1p7W0bPYuc3nkz18YPpe0LQ4GgAArEdSCgAAAD15i2Pfs7VSqqhIZsQtSdrVVm9xNMkznE45FFunKxQiKQUAAEkpAAAA9BRPSmVppVRFgVtmuECStLdjn8XRDI3DiO0WGGb2HgAAJKUAAADwIYnpe9k5Na6iwK3ogaRUdyQ7Y+yP0xn7+B315FscCQAA1iMpBQAAgJ6yfPpeRb5bi2ceIUlafEyexdEMTeXnPi1J8ixaanEkAABYj6QUAAAAesryhc5tNkM1+bHFzhv9jRZHMzROt0OSFOqOWBwJAADWIykFAACAnrK8UkqSyr3lkkZjUsouSQoFWFQKAACSUgAAAOjJWxL7nqWVUpJU5imTJDV2j66klMtzIClFpRQAACSlAAAA8CHx6XtZXCm1e19sGtyre3Zp1/4ui6NJXvDVlyVJne/tVGjPHoujAQDAWiSlAAAA0FN8+l6W7r4nSbsaY0mp9nCzdjf7LY4medHt70iSgv6gwk1NFkcDAIC1SEoBAACgpyxf6FySxhfEFjo37B2qbx89lVIun0uSFLF7FO3stDgaAACsRVIKAAAAPY2Chc4nFVfINA0ZhqmdLfusDidprjy3JClidyvaNXqSaQAApANJKQAAAPQUr5QKdUnhoKWh9KeqwCczkidJ2tPWYHE0yXPleyRJUbtL4XYqpQAAuY2kFAAAAHryFEkyYreztFqqosAtM1wgSarrHEWVUoXexO3gKJp2CABAOpCUAgAAQE82u+QpjN3O0sXOD01KNXY3WhxN8pz5PhnRsCQp2NFtcTQAAFiLpBQAAAB6y/LFzou8ThmRWFKqJbDf4miSZ8vLkz0SkCQFOwIWRwMAgLVISgEAAKC3LF/s3DAMeW3FkqTO8ChNSnWSlAIA5DaSUgAAAOgtyyulJKnAWSJJCpitikRNi6NJji3PJ0ckNm0v6A9ZHA0AANYiKQUAAIDesrxSSpJmVU2QJNWUhhQMRy2OJjn2kpLEDny2qdMtjgYAAGuRlAIAAEBv3lgVUjZXSl11wjGSpPw8v7wuu8XRJMdZWam8GYdLklzzjrM4GgAArEVSCgAAAL0lpu9l5+57klTmLZMkNfpHz+57kuTyOCRJoUDE4kgAALAWSSkAAAD0Ngqm75V7yyVJ7cF2BSKjZ9FwpztW1RXsDlscCQAA1srqpNT3vvc9GYbR42vmzJmJx7u7u3XttdeqrKxM+fn5uuiii1RfX29hxAAAAGPEqFjovEAum0uSVNe+z+Jokuf0xJJSVEoBAHJdVielJOmoo45SbW1t4uv5559PPPb1r39djz76qB588EGtXbtWe/fu1YUXXmhhtAAAAGPEKKiU2lbfrlAwX5J029MvWxxN8vxPPSZJ2ve/f7Y4EgAArOWwOoDBOBwOVVdX97q/tbVVd999t+677z6dccYZkqSVK1dq1qxZevHFF3XCCSdkOlQAAICxYxRUSuW5HAqH8mR37Fd91+hZV8oW6JQ8UihsWB0KAACWyvpKqXfeeUfjxo3TYYcdpssuu0w7d+6UJG3atEmhUEiLFi1KHDtz5kxNmjRJ69evtypcAACAsSG++14WV0qV57sVDRdIkvZ3j56klMMZ+x427TKjUWuDAQDAQlldKbVgwQLdc889mjFjhmpra7VixQqdcsop2rJli+rq6uRyuVRcXNzjOVVVVaqrqxuw3UAgoEDg4GKYbW1tkqRQKKRQKJTy14HMivchfZmb6H/EMRZyG/2fAs58OSWZ/maFs/R9dBiSwyyUJLUGm3r1d7aOA6czViEVcbgVbGuTLS/P4ojGrmwdA8gsxkFuo/+tkez7ndVJqbPPPjtx+5hjjtGCBQs0efJkPfDAA/J6vcNu95ZbbtGKFSt63b9q1Sr5fL5ht4vssnr1aqtDgIXof8QxFnIb/T98jnCnzpVkhLv15D8eVvTAguLZxhnJU1hSR2i/Hn/88T6PybZx4Pa3S04pYvdo9aOPKlJYaHVIY162jQFYg3GQ2+j/zOrq6krquKxOSn1YcXGxpk+frnfffVdnnXWWgsGgWlpaelRL1dfX97kG1aFuuOEGLVu2LPFzW1ubJk6cqMWLF6uQDwWjXigU0urVq3XWWWfJ6XRaHQ4yjP5HHGMht9H/KWBGZb7+FRkytfTUE6SCgT9fWeUX97ypeklRe4dOX7REXpc98Vi2joPXnn1L7/mliN2t0084Qa4pU6wOaczK1jGAzGIc5Db63xrxGWmDGVVJqY6ODr333nv67Gc/q/nz58vpdGrNmjW66KKLJEnbtm3Tzp07tXDhwgHbcbvdcrvdve53Op0M0jGE/sxt9D/iGAu5jf4fIU+R1N0iZ7hTytL3scxbrvqIZHO0qzUQVWGep9cx2TYO3D635JfCdrdsgWBWxTZWZdsYgDUYB7mN/s+sZN/rrF7o/Bvf+IbWrl2rHTt26IUXXtAnPvEJ2e12XXrppSoqKtLVV1+tZcuW6ZlnntGmTZt05ZVXauHChey8BwAAkAre4tj3LF7svNJXIUky7O1qaA8McnR2cPliH9Qjdo+inZ0WRwMAgHWyulJq9+7duvTSS9XU1KSKigqdfPLJevHFF1VREfvw8bOf/Uw2m00XXXSRAoGAlixZol/96lcWRw0AADBGeEuk5h2Sv8XqSPo1rqBSapcMR4ca2rqtDicprrxYxX7E7la0i6QUACB3ZXVS6s9//vOAj3s8Ht1555268847MxQRAABADvEUx777my0NYyCTiiqlvZJhC2t3235JNVaHNChnfmyKYcThUaQjuYVgAQAYi7J6+h4AAAAsNAqm751y+Dh5bHmSpI9Mzeq/tyYUn7wgcds5Z56FkQAAYC2SUgAAAOhbolKqxcooBjSpzKfq/NjSDlFbcjv9WM034wgZxoEfisosjQUAACuRlAIAAEDfRkGllCSVe8slSY3+RosjSY5hGHK67ZKkUHfE4mgAALAOSSkAAAD0bRRUSkmjLyklSU5PbKphsDtscSQAAFiHpBQAAAD65i2Jfc/ySimHWSRJ2vDBDmsDSVI0GJTDiCWjOt/9wOJoAACwDkkpAAAA9C0+fS+Ld9+TpHVbuyVJT7/znkzTtDiawYXr6hT94H1J0v5Hn7A4GgAArENSCgAAAH0bJdP3it2lkiTT3q42f/ZPh7P5fLJHYom0ENP3AAA5jKQUAAAA+jZKFjovO7CmlOFo176OboujGZwtL0+OSECSFAxmf2UXAADpQlIKAAAAfRsllVLVeRWSYkmphvaAxdEMzvB4ZI/G4gwFoxZHAwCAdUhKAQAAoG/xSqlIQAr5LQ1lIOMLqiRJhr1T9W1dFkczOMMw5FBEkhRm9h4AIIeRlAIAAEDf3IWSYY/dzuJqqUnF5TJNQ4ZhamfLPqvDSYrDHquQCkUMiyMBAMA6JKUAAADQN8OQPEWx21m8A19VoU9mJF+StKe9weJokuM8kOsLR/g4DgDIXfwWBAAAQP9GwWLnlQVumeFYUqquY5RUSjliC5yHTbtMk8XOAQC5iaQUAAAA+jcKFjuvyPfIDBdIkhq7Gy2OJjlOV+xjeMTultmd/TsGAgCQDiSlAAAA0L9RUClV6HXIiBRKkkxbm8XRJMfpjn0MD9vdinZl/+LsAACkA0kpAAAA9G8UVEoZhqErT5gtSTrtSK/F0SSn6nOfkSS55h4rR1mZxdEAAGANklIAAADon7ck9j2LK6UkqSa/UpLU6B8d0/fcJbE1sEKBiMWRAABgHZJSAAAA6F98+l4W774nSeXeckmjJynldMe23wt2k5QCAOQuklIAAADo3yiYvidJZd7YFLjRkpRyeRySqJQCAOQ2klIAAADo3yhY6FySdu+LJXl2tdVr0wfZXdUlSZHt70iSgv6Qul573eJoAACwBkkpAAAA9G+UVEo1tbklSRH59VZdk8XRDC7y3tsHbhnq2rrN0lgAALAKSSkAAAD0b5RUSo0vLJEZjVVL7WyrtziawbkKfYnbwfZuCyMBAMA6JKUAAADQv/jue1leKVVZ6JEZLpAk7W1vsDiawdnzfbJHApKkYAdJKQBAbiIpBQAAgP4lpu81S6ZpaSgDqSxwJ5JSDZ37LI5mcDZfnuzhWDIq2BmwOBoAAKxBUgoAAAD9i0/fi4akUJeloQykPN+taCRfkrS/O/vXlLLl5ckeOZCU6gpZHA0AANYgKQUAAID+ufIlwx67ncVT+Lwuu5xmkSSpNbTf4mgGZ8s7ZPqen6QUACA3kZQCAABA/wxj1Cx27rMXS5K6Ii2WxpEMmy9PjnhSqjtscTQAAFiDpBQAAAAGllhXqsXKKAZV5CqVJIWNVnUFszvRc+j0vXAwanE0AABYg6QUAAAABhbfgS/LK6VKPeWSJJujQ43tQYujGZjN5z04fY+kFAAgR5GUAgAAwMDi0/f8zZaGMZh54yZKkgry/HI7s/tjrmGzyV0S2y3QqJ5ocTQAAFgju39bAwAAwHqjZPreZ4+fLUkKqVWVBW6Loxlc6dJFkiTPwpMtjgQAAGuQlAIAAMDARslC52XeMklSKBpSW7DN4mgG53THdjUMdkcsjgQAAGuQlAIAAMDARkmllNvuVoErNiWuyd9kcTSDc3piSalQgKQUACA3kZQCAADAwEZJpZQkVXgrJEm72+stjmRwLo9DkhSiUgoAkKNISgEAAGBg8d33srxSqrkzqB0Nseqjn6552eJoBtf1zyclSa0vvKRwc3YvIg8AQDqQlAIAAMDAEtP3sjtxUuh1KtjtkyQ1B/ZbHM3gbC2NkqRQyFS0s8viaAAAyDySUgAAABjYKJm+Z7cZctuKJUntoexPSjm9sel7EYdH0c5Oi6MBACDzSEoBAABgYKNkoXNJynfEphp2R1sUjZoWRzMwl9cpSQrbSUoBAHITSSkAAAAM7NBKKTO7Ez3F7jJJkmlvV2t3yOJoBubKc0uSInaXol1M3wMA5B6SUgAAABhYvFIqGpaC2V3RU+4tlyQZjnY1tgctjmZgrvx4UopKKQBAbiIpBQAAgIG58iRbbKpZtq8rVZ1XIUkyHB3a1xGwOJqBufI9kiTT5lConaQUACD3kJQCAADAwAzj4BS+LN+Bb0JBpSTJsHeqvt1vcTQDcxX4EreDWR4rAADpQFIKAAAAgxsli51PLC6XadpkGKZ2tTZYHc6AHAV5skViUwyD7d0WRwMAQOaRlAIAAMDgDl3sPItVFfpkhvMkSXvaszspZfP5ZI/EphgGO7N7qiEAAOlAUgoAAACDGyWVUjOqCjShsEqSdMpMt8XRDMw1ZUpisXPXvGMtjgYAgMwjKQUAAIDBjZJKqZI8lw4rrZYkRYw2i6MZmLOmRp6KUkmSMekwi6MBACDzSEoBAABgcN6S2Pcsr5SSpHJvuSSpqbvJ4kgG5/LYJUmh7ojFkQAAkHkkpQAAADC4xPS97N59TzokKeXP/qSUM56UCpCUAgDkHpJSAAAAGNwomb4nSWa4QJK0uXanIlGLgxmEw4gF6K9ttDgSAAAyj6QUAAAABjdKFjqXpHVbuyVJW+r3qD1kcTCD8D/9lCSp8S8PWxsIAAAWGDNJqTvvvFNTpkyRx+PRggUL9NJLL1kdEgAAwNgxiiqlKn2x6Xs2e0fWJ6UctlilVDhscSAAAFhgTCSl7r//fi1btkzLly/XK6+8ojlz5mjJkiVqaGiwOjQAAICxYRRVStXkV0qSDEe72kKGxdEMzHkgKRWKjImP5QAADMmY+O3305/+VF/4whd05ZVX6sgjj9Rdd90ln8+n3/3ud1aHBgAAMDbEd98bBZVSE4uqJEmGPaA9XcGUtl3b6tcL7zWqttWfkvYcjtj3UMSmPW/vSEmbcXve3qGXHlqV0nbT0Wa62t3z9g5teniNOhtaU9ZmvN3R9B4Q6+gYB/QV14F0tpvNHFYHMFLBYFCbNm3SDTfckLjPZrNp0aJFWr9+vYWRAQAAjCHx6Xv+Fmn/+5KytwKpZecHUtQh2cJ6pfFN/fvv23VEZb5OOqJClQXuxHG1bd168b3BFxg3DEMXzB2vZ7bV67/Xva+oYq/+uMmlOqwib8DnVhV5deJhZT3uW7W1Xp3dsXmFU9qapEIp5MxX3ac+o42Tpyhy2ETtWXCsZlYXaVKpV5IUeXWrAtv36IOmzgHP11VWpqYZR2j8629q8mOr5JCpOklbjjhcXeOqBnxu0+FTFZ1Qo49Oq5AkmW0dCj/zkva2dasrEJLxwV5N/GCHHJLqJG2cPEXm5HGSpL3z56qmpkRHVhdKkqLv7VRky7t6d1+HJLPfcwa9XjX5wzp+3To5ZKpWht78yGwVTqzU3uauAeNtr6lWy9TJOnNWlexGbDyGHnlajZ0BtW7doYkf7JBL0gxJj/1jVSJWSdo3a4Y84yp1/NTSWLwNTYqs/5d2NncpGO5/J0Tjg72a8MEHiVhfPn+xjpg5UcF3d2pHY8eA8XYXFWnfUTO1YGqZirxOSVL46Q1qa2xRw+vv9/veSlLzlEkKTJyg02cc6Bt/QOFV/6f6tm61B/qeo3pof8VjnfHJMxT9YI8ir27T+42dipr97wQQdrlUe+w8HTW+SOOLDozDja+r9qkXVfL2u/3GKkkdlRVqPuIwnTq9Um5HrA4i9Pha7W/za39HYJBYpcdPP02nXHm2JCm6v1WR5zZpd6tf3cGB57nuPv5YTa4q1PSq2GYH23/zV1X+30v9joO4QEGBGmYfqfmTS1WW54q9/udeVkfd/j4T0B+O95GPnqozPn+OJMkMhRV+fJ0aOgJq8w+cFK8/+kgVjq9Q3oZXNP7vB/+9vjJlisKTescZF7Xbk7pG9PVvtvMjs9U04widdHi58tyxdEBo1fNqae5UY3v3gPE2HT5Vke17NP/ZtQf+DUjbZk5TaOI4dfUzDuMGu0b0d30Jer2qn3eM5k4sSVy/w+tfVefefYNeI7qa2zXj9S1yydR0GfrHzg90hEtq7AyoZZA/WAx0jQi9t2vAf6+7TlygIyoLdFh57PdDZMs7SV0jgg3NOvytt+SQqcZQl9743Je0+JvXDPicscAwTbP/3xKjwN69ezV+/Hi98MILWrhwYeL+b33rW1q7dq02bNjQ6zmBQECBwMGLYVtbmyZOnKjGxkYVFhZmJG6kTygU0urVq3XWWWfJ6XRaHQ4yjP5HHGMht9H/aRDqkvNHk6yOImlLJ4zTHmd2//21tM3UTX85Vm/NutzqUAAAWWTmtntVVbde+X/9u8ZPm2x1OMPS1tam8vJytba2Dphnye7f1Glyyy23aMWKFb3uX7VqlXw+nwURIR1Wr15tdQiwEP2POMZCbqP/U2t+yQmqbn3V6jAGFDWlYFQ6p71b9xX7BqjRsd6UJlOlLW/L29WgoOvgB3ZTUsDV81hnRLL3X8CTELFJEbvkGsYC7yFH7Plxhim5k2wn4OpZD2WPSs4kFm83jdh5hiNsj30dypPkbM2gU4oeUuxnM4f3nkmx98zef8FRQtQmBT/0vy9XKHbuwfTqG0nuYcxMDTpj73eyfRP4UE7fFZZsSbzWiF0Kfahv3KGh9XW8j4bSN92H/LsZyvP67JskX2vcoWNqKONQGvrY66tvkr1G9PVak+2bsF1yJHGOvgz3GhE1Dr5PcUPtm+EYyTWi+0PXb0dk6O+bEY3Ibpp6+q+PquyYw4b25CzR1TVwJVvcqK+UCgaD8vl8+stf/qILLrggcf8VV1yhlpYWPfLII72eQ6XU2MZfx3Mb/Y84xkJuo/9zV21rt067bZ2ih3zCtRnSDy84SqfPqFBp3sH/LTR2BPTanrZB2zQkzawu6LfdkjxXv88ty3NpzoSiHve9+P5+dYUi6ti1RzO/foVsh/xXLSpDu675dxmLz9a0yjxNLIn9wTSwbZs6d+3VW/XtA8YaKSlTsyuv73Y/f7285WX9Pjc0+TA5a2p04uGxY6KdnfK//LK2N3aqfne9Jv729n7bDMz+iMZVFmlGdWzaVGjXbgXff0+v72nt8Z59WGdbpyb/6tZe7Zrf+P/U5Bh4amSkqkahiVN06rRy2W2x/z12rl2rbW/vVv4dPxrw9QenzVRhdaU+MqlYkhRualJgyxa9U9+hrlDf/3v0Nzb1eg8ihqG8n/1CBUZUb9QOPJaihcUKTp+lYycVq/DA9L2ujRv1/pZ35fpp7/fg0HhDEyfLVjNep0yL7SwZ7e6Wf8MG7dzfpeau3v9T7i/W/L/+XZX5LgXffltv7G1TeIDOMV0uBY6Zr1nVBaop8kiSdj2xRv5vLRt0bEXKKxWacrhOOrwsMX2v8/nn1dDcpdq2nlPEBop1/LTJirS2qfvVzXpvX6c6AgNnMbrnHqdJFQU6ojJfe975QJ0Xnp/UvwMzL1+BWbM1d0JR4hrhf+UVtTTs1/amnv+xHixeMxRS1wsvaE+LX40dA2enAjOPlq3br5ovfXpo/17tdnXPO37Aa0RfcUZlaMfXvyfHSSdrwZSSxPS9rvUvat/+du1pGXitvBZXno64uXf/N3/lG4oUFg3wTA14jejc13esuz5/vTwTJihw9FzNHleoigPT97pfe02tdfv03r7+pzP310/e/++7CuYXqqG99zTSQ/V3jdi85QNV3nXbgP3VfexCHVbu05Sy2DUs8O676t65e8BrxGDjajTKmUopl8ul+fPna82aNYmkVDQa1Zo1a3Tdddf1+Ry32y23293rfqfTyQfXMYT+zG30P+IYC7mN/s89k8qduuXC2frOQ1sUMU0ZMvWfHz9KlyyY0uvYmhKnakryk2770HbthqEfXni0Lj5u6FMaT5lxYG2no8dp1ZbrNe53t8tumooYhvZedb2WLru613OcRx+t/KOP1sCrQh3UZ7vfGOLaJMXFci9apHnxNk0l3abzsKnyHTZVpyQTa6C7V7uLPz+8KY3FixZpwSJpVWewR5u7P/fVAV+/s7pa3upqHTdYrH28B4uXnilJOnUY8RadeKLmnXiiVrX2fg8G7C+nU+5Fi1Q81FiPPEKS5Js0SScNI97Dzl+qVdt2DmtsFZ9+uoolTR9irM7yMnkWLdL8IcY65cgjtOrq64c0Dg7lXLBAhZL6+hc+ULxyOuUapG96tXf1yP+99nWN6CvOc7/4qV7PLfroKSqSdEQyse7p3f+Lv3rVkGKVel8jhnR9mT9fBZImDBbrh9rc/bmvaukVn5YkzRpqvAeuEacvklaFIkPqL+esWcqfNWvQa8SA42oUSvbz16ivlJKk+++/X1dccYV+85vf6Pjjj9ftt9+uBx54QG+99Zaqqgb/1d3W1qaioqJBM3gYHUKhkB5//HGdc845/EckB9H/iGMs5Db6H7Wtfr1X36b3Xn1Rn/5E6sZBbatfOxq7NKXcp5oDiz+P1J63d2jvG+9o3FHTNH76lJS0ma52R1usu15/S+/vb9C/fe7SlI2B0fYeEOvoGAf0FdeBdLZrhWTzLGMiKSVJv/zlL/XjH/9YdXV1mjt3ru644w4tWLAgqeeSlBpb+I9IbqP/EcdYyG30PyTGARgDiGEc5Db63xrJ5llG/fS9uOuuu67f6XoAAAAAAADILrbBDwEAAAAAAABSi6QUAAAAAAAAMo6kFAAAAAAAADKOpBQAAAAAAAAyjqQUAAA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-      "text/plain": [
-       "<Figure size 1200x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "comparaison2(90)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 306,
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diff --git a/clustering_avril.ipynb b/temporal clustering.ipynb
similarity index 100%
rename from clustering_avril.ipynb
rename to temporal clustering.ipynb
diff --git a/test_upload.py b/test_upload.py
deleted file mode 100644
index e69de29..0000000