diff --git a/.ipynb_checkpoints/Migration-checkpoint.ipynb b/.ipynb_checkpoints/Migration-checkpoint.ipynb
new file mode 100644
index 0000000..363fcab
--- /dev/null
+++ b/.ipynb_checkpoints/Migration-checkpoint.ipynb
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/.ipynb_checkpoints/data_flux-checkpoint.ipynb b/.ipynb_checkpoints/data_flux_stock-checkpoint.ipynb
similarity index 100%
rename from .ipynb_checkpoints/data_flux-checkpoint.ipynb
rename to .ipynb_checkpoints/data_flux_stock-checkpoint.ipynb
diff --git a/.ipynb_checkpoints/function-checkpoint.py b/.ipynb_checkpoints/function-checkpoint.py
index 0c7f3a2..09c341d 100644
--- a/.ipynb_checkpoints/function-checkpoint.py
+++ b/.ipynb_checkpoints/function-checkpoint.py
@@ -1,6 +1,36 @@
 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()
@@ -35,6 +65,7 @@ def evolution_2_comptes(df, id1, id2):
     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()
@@ -63,7 +94,7 @@ def evolution_3_comptes(df, id1, id2, id3):
     plt.plot(df3['Centralisation Date'], df3['Quantity - AUM'],
              marker='.', linestyle='-', label=f'Account {id3}')
 
-    plt.title("Évolution des AUM pour trois comptes")
+    plt.title("Evolution of AUM for three accounts")
     plt.xlabel("Date")
     plt.ylabel("Quantity - AUM")
     plt.grid(True)
diff --git a/Essai.ipynb b/Essai.ipynb
index 675dea2..325e511 100644
--- a/Essai.ipynb
+++ b/Essai.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "id": "dad4ac5b-b66f-4eab-acbf-51dc708616ef",
    "metadata": {},
    "outputs": [
@@ -41,9 +41,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "68903172-d4f8-4c6e-96f8-578c5b1afe23",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
@@ -240,19 +242,20 @@
        "4          2016-11-30          35.368       22489.4502     22489.4502  "
       ]
      },
-     "execution_count": 4,
+     "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": 5,
+   "execution_count": 4,
    "id": "22042f8f-1492-44a4-a492-5074ef1dc9f6",
    "metadata": {},
    "outputs": [
@@ -270,7 +273,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "0fff2ef5-35dd-41d3-a8c2-72e4eb30bfcf",
    "metadata": {},
    "outputs": [
@@ -469,7 +472,7 @@
        "4          2016-11-30          35.368       22489.4502     22489.4502  "
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -484,7 +487,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "54b7ab00-a39e-4ca5-8a92-fa9ca93d69d4",
    "metadata": {},
    "outputs": [
@@ -506,7 +509,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "090b2eae-889b-44b3-9a73-cd0cd0734191",
    "metadata": {},
    "outputs": [],
@@ -544,13 +547,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "9f984cb5-fa9c-48fa-a547-c7139d44d3fc",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -565,7 +568,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "4d11701e-8a6a-4879-bc8a-c233e13d56b6",
    "metadata": {},
    "outputs": [],
@@ -610,13 +613,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "945bbd98-bec1-4415-ba48-7b296115f39e",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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I1CwKSomIiPiYPn36EB8fz/z58znvvPNYsWKFU9NlgObNm/PLL79gs9mcghP2GdqaN29e5vHr1q1bYkY8KD27qiLZIUXvb/v27U7ZLDk5OezatYuLLrqoQsepyP3YbDZ27tzplM2zfft2p/3sM/Pl5+dX6L7r1KnDsGHDGDZsGDk5OVx99dU8/fTTTJw4scxA0SeffEJWVhYzZ86kQYMGTtu2b9/OI488wo8//sh5553nGPtvv/1W6rHs4y/v7zZ8+HAee+wxDh48yLvvvnva36k09syXov744w/Cw8Md2Ubh4eElHk8wz62AgABHoKdu3bqAOdtcTEyMY7/qZunZH4M///zTKUMnNzeXXbt2OQVnk5KS2Lx5MxdeeGG552rRsRZV1lh/+eUXnnjiCUaPHs2mTZu49dZb2bJlS4nyweKSkpKcmsaX9ftV9X+3Knbs2IFhGE6Pzx9//AHgmIWzrMfOnpEYGxtbof+jpKQkHnjgAR544AH+/PNPunTpwosvvsh7771Xzd9CRERqKvWUEhER8TEBAQFcc801LFy4kHfffZe8vLwSM4kNGjSI5ORkp95TeXl5vPrqq0RERNC3b98yj5+UlERqaqpTqdzBgwf59NNPS+xbp06dUgNYxV100UUEBwfzyiuvOGVqzJo1i9TU1ErPEleWSy+9FIBXXnnFaX3R2fTAzCIZOnQoH3/8calBAnupGuCY/dAuODiY9u3bYxhGiVkDi3rvvfdo2bIld955J9dcc43Tzz//+U8iIiJ4//33HfsPGjSIffv28dlnnzkdJzs7m7feeovY2Fi6du1a5v0lJSUxZcoUnn32WXr06FHmfuVZs2aNo5cWwN69e/n8888ZMGAAVqsVq9XKgAED+Pzzz51mVjt06BDz5s3jvPPOc5Rs2QMWq1atcuyXnp7OO++8U6Wx2Z199tk0bNiQ1157zWkWyjlz5pQ4F6+77jr279/Pm2++WeI4mZmZpKenA2aZWYMGDZzGCjBjxowSt8vNzWXUqFE0btyYqVOnMmfOHA4dOsT9999/2rEPHTqUzZs3l/q/ZP+/qM7/blUcOHDAaTxpaWnMnTuXLl26OLKf6tSpA5QM2g0cOJCoqCieeeaZUv8XipZ8ZmVlOW1LSkoiMjKS7OxsV/46IiJSwyhTSkRExIO+/PJLR0ZEUeeee65ThtGwYcN49dVXmTRpEp06dXL0m7G7/fbbef311xk1ahQbNmygRYsWfPTRR/z4449MmTKFyMjIMsdw/fXXM2HCBK666iruvfdeMjIymDlzJq1bt3YKWAB069aNb775hpdeeonGjRuTmJjoaLRcVMOGDZk4cSKTJ0/mkksu4fLLL2f79u3MmDGD7t27OzU1r44uXbpwww03MGPGDFJTUzn33HNZvny5o59TUc899xzffvstPXv25LbbbqN9+/YcP36cjRs38s0333D8+HEABgwYQFxcHL1796ZRo0b8/vvvTJs2jcGDB5f5OB44cIBvv/22zObXISEhDBw4kA8//JBXXnmFoKAgbr/9dmbPns21117LP/7xD8466yyOHTvG/Pnz2bp1K3PnznVq7F2a++67r5KPmLOOHTsycOBA7r33XkJCQhxBmaJlik899RTLli3jvPPO4+677yYwMJDXX3+d7OxsXnjhBcd+AwYMoFmzZtxyyy08+OCDWK1WZs+eTcOGDdmzZ0+VxxgUFMRTTz3FHXfcwQUXXMCwYcPYtWsXb7/9domeUjfffDMLFizgzjvv5Ntvv6V3797k5+ezbds2FixYwNKlSx093G699Vaee+45br31Vs4++2xWrVrlyBgq6qmnnmLTpk0sX76cyMhIzjzzTB577DEeeeQRrrnmGgYNGlTm2B988EE++ugjx9+4W7duHD9+nC+++ILXXnuNzp07V+t/typat27NLbfcwvr162nUqBGzZ8/m0KFDvP322459unTpgtVq5fnnnyc1NZWQkBAuuOACYmNjmTlzJjfffDNdu3bl+uuvd/x9Fy9eTO/evZk2bRp//PEHF154Iddddx3t27cnMDCQTz/9lEOHDnH99de79PcREZEaxnsT/4mIiNQeb7/9tgGU+VN8qnqbzWYkJCQYgPHUU0+VesxDhw4Zo0ePNho0aGAEBwcbnTp1qvCU919//bXRsWNHIzg42GjTpo3x3nvvGZMmTTKKvzXYtm2b0adPHyMsLMwAjJEjRzr9Prt27XLaf9q0aUbbtm2NoKAgo1GjRsZdd91lnDhxwmmfvn37Gh06dCgxzpEjRxrNmzcv9XctKjMz07j33nuN+vXrG3Xq1DGGDBli7N27t9Tf89ChQ8aYMWOMhIQEIygoyIiLizMuvPBC44033nDs8/rrrxt9+vQx6tevb4SEhBhJSUnGgw8+aKSmppY5hhdffNEAjOXLl5e5z5w5cwzA+Pzzzx3rTpw4Ydx///1GYmKiERQUZERFRRn9+/c3vvzyyxK3t/89jhw5Uu7jARhjxowpd5+i+7333nvGGWecYYSEhBhnnXWW8e2335bYd+PGjcbAgQONiIgIIzw83Ojfv7+xevXqEvtt2LDB6NmzpxEcHGw0a9bMeOmll0o9N5o3b24MHjz4tGMsasaMGUZiYqIREhJinH322caqVauMvn37Gn379nXaLycnx3j++eeNDh06GCEhIUbdunWNbt26GZMnT3b6G2ZkZBi33HKLER0dbURGRhrXXXedcfjwYafzZsOGDUZgYKBxzz33ON1HXl6e0b17d6Nx48Ylzufijh07ZowdO9Zo0qSJERwcbDRt2tQYOXKkcfToUcc+Ffnf3bVrlwEY//nPf5zWf/vttwZgfPjhh07r7Y/7+vXrHevsj/vSpUuNM8880wgJCTHatm1b4raGYRhvvvmm0bJlS8NqtRqA03nx7bffGgMHDjSio6ON0NBQIykpyRg1apTx008/GYZhGEePHjXGjBljtG3b1qhTp44RHR1t9OzZ01iwYEG5j5WIiIjFMFzYDVFEREREfJLFYmHMmDFMmzbN20MRD2nRogUdO3Zk0aJF3h6KiIhIqdRTSkREREREREREPE5BKRERERERERER8TgFpURERERERERExOPUU0pERERERERERDxOmVIiIiIiIiIiIuJxCkqJiIiIiIiIiIjHKSglIiIiIiIiIiIeF+jtAdQmNpuNAwcOEBkZicVi8fZwRERERERERERczjAMTp48SePGjQkIKDsfSkEpDzpw4AAJCQneHoaIiIiIiIiIiNvt3buXpk2blrndq0GpmTNnMnPmTHbv3g1Ahw4deOyxx7j00ksByMrK4oEHHuD//u//yM7OZuDAgcyYMYNGjRo5jrFnzx7uuusuvv32WyIiIhg5ciTPPvssgYGFv9p3333H+PHj+fXXX0lISOCRRx5h1KhRTmOZPn06//nPf0hOTqZz5868+uqr9OjRw7G9ImM5ncjISMD8o0RFRVX24ZIaKjc3l6+//poBAwYQFBTk7eGIuJTOb6nJdH5LTabzW2oynd9Sk/nK+Z2WlkZCQoIjDlIWrwalmjZtynPPPccZZ5yBYRi88847XHHFFfz888906NCB+++/n8WLF/Phhx8SHR3N2LFjufrqq/nxxx8ByM/PZ/DgwcTFxbF69WoOHjzIiBEjCAoK4plnngFg165dDB48mDvvvJP333+f5cuXc+uttxIfH8/AgQMBmD9/PuPHj+e1116jZ8+eTJkyhYEDB7J9+3ZiY2MBTjuWirCX7EVFRSkoJQ65ubmEh4cTFRWlF0WpcXR+S02m81tqMp3fUpPp/JaazNfO79O1LvJqo/MhQ4YwaNAgzjjjDFq3bs3TTz9NREQEa9euJTU1lVmzZvHSSy9xwQUX0K1bN95++21Wr17N2rVrAfj666/57bffeO+99+jSpQuXXnopTz75JNOnTycnJweA1157jcTERF588UXatWvH2LFjueaaa3j55Zcd43jppZe47bbbGD16NO3bt+e1114jPDyc2bNnA1RoLCIiIiIiIiIiUnE+01MqPz+fDz/8kPT0dHr16sWGDRvIzc3loosucuzTtm1bmjVrxpo1azjnnHNYs2YNnTp1ciqhGzhwIHfddRe//vorZ511FmvWrHE6hn2fcePGAZCTk8OGDRuYOHGiY3tAQAAXXXQRa9asAajQWEqTnZ1Ndna243paWhpgRi5zc3Or+EhJTWM/F3ROSE2k81tqMp3fUpPp/JaaTOe31GS+cn5X9P69HpTasmULvXr1Iisri4iICD799FPat2/Ppk2bCA4OJiYmxmn/Ro0akZycDEBycnKJnk7266fbJy0tjczMTE6cOEF+fn6p+2zbts1xjNONpTTPPvsskydPLrH+66+/Jjw8vMzbSe20bNkybw9BxG10fktNpvNbajKd31KT6fyWmszb53dGRkaF9vN6UKpNmzZs2rSJ1NRUPvroI0aOHMnKlSu9PSyXmDhxIuPHj3dctzf6GjBggHpKiUNubi7Lli3j4osv9omaXxFX0vktNZnOb6nJdH5LTVaTzu/8/Hzy8vIwDMPbQxEfkZeXx+rVqzn33HOdJoBzJYvFQmBgIFartcx97JVip+P1oFRwcDCtWrUCoFu3bqxfv56pU6cybNgwcnJySElJccpQOnToEHFxcQDExcWxbt06p+MdOnTIsc2+tK8ruk9UVBRhYWFYrVasVmup+xQ9xunGUpqQkBBCQkJKrA8KCvL7Jz9xPZ0XUpPp/JaaTOe31GQ6v6Um8+fz2zAMkpOTSUlJ8fZQxMcYhkFcXBwHDx48bZPx6oqJiSEuLq7U+6no/5bXg1LF2Ww2srOz6datG0FBQSxfvpyhQ4cCsH37dvbs2UOvXr0A6NWrF08//TSHDx92zJK3bNkyoqKiaN++vWOfJUuWON3HsmXLHMcIDg6mW7duLF++nCuvvNIxhuXLlzN27FiACo1FRERERERExBPsAanY2FjCw8PdHnwQ/2Gz2Th16hQREREEBLhnbjvDMMjIyODw4cMAxMfHV/lYXg1KTZw4kUsvvZRmzZpx8uRJ5s2bx3fffcfSpUuJjo7mlltuYfz48dSrV4+oqCjuueceevXq5WgsPmDAANq3b8/NN9/MCy+8QHJyMo888ghjxoxxZCjdeeedTJs2jYceeoh//OMfrFixggULFrB48WLHOMaPH8/IkSM5++yz6dGjB1OmTCE9PZ3Ro0cDVGgsIiIiIiIiIu6Wn5/vCEjVr1/f28MRH2Oz2cjJySE0NNRtQSmAsLAwAEeSUHmlfOXxalDq8OHDjBgxgoMHDxIdHc2ZZ57J0qVLufjiiwF4+eWXCQgIYOjQoWRnZzNw4EBmzJjhuL3VamXRokXcdddd9OrVizp16jBy5EieeOIJxz6JiYksXryY+++/n6lTp9K0aVPeeustBg4c6Nhn2LBhHDlyhMcee4zk5GS6dOnCV1995dT8/HRjEREREREREXE3+6xmmjxLvM1+Dubm5vpnUGrWrFnlbg8NDWX69OlMnz69zH2aN29eojyvuH79+vHzzz+Xu8/YsWMd5XpVHYuIiIiIiIiIJ6hkT7zNFeeg+3K5REREREREREREyqCglIiIiIiIiIh4xJo1a7BarQwePNjbQ6mS7777DovFctqZD7dv307//v1p1KgRoaGhtGzZkkceecRRfmmXkpLCmDFjiI+PJyQkhNatWztVgz3++ONYLBann7Zt2zod44477iApKYmwsDAaNWrE8OHD2bZtm2P7nDlzShzD/mNvVj5q1KhSt3fo0KGaj1j5fG72PRERERERERGpmWbNmsU999zDrFmzOHDgAI0bN/b2kNwiKCiIESNG0LVrV2JiYti8eTO33XYbNpuNZ555BoCcnBwuvvhiYmNj+eijj2jSpAl///03MTExTsfq0KED33zzjeN6YKBzKKdbt27ceOONNGvWjKNHj/Loo49yySWXsGvXLqxWK8OGDeOSSy5xus2oUaPIysoiNjYWgKlTp/Lcc885tufl5dG5c2euvfZaVz4sJShTSkRERERERKQWOpiayeqdRzmYmumR+zt16hTz58/nrrvuYvDgwcyZM6fEPgsXLqR79+6EhobSoEEDrrrqKse27OxsJkyYQEJCAiEhIbRq1cqpV/XKlSvp0aMHISEhxMfH8/DDD5OXl+fY3qJFC6ZMmeJ0f126dOHxxx93XLdYLLz11ltcddVVhIeHc8YZZ/DFF18AsHv3bvr37w9A3bp1sVgsjBo1qtTftWXLlowePZrOnTvTvHlzLr/8cm688Ua+//57xz6zZ8/m+PHjfPbZZ/Tu3ZsWLVrQt29fOnfu7HSswMBA4uLiHD8NGjRw2n777bfTp08fWrRoQdeuXfn3v//N3r172b17N2DOlFf09larlRUrVnDLLbc4jhEdHe20z08//cSJEycYPXp0qb+fqygoJSIiIiIiIuKnDMMgIyev0j/vrtlN7+dWMPzN/9H7uRW8u2Z3pY9hGEalxrpgwQLatm1LmzZtuOmmm5g9e7bTMRYvXsxVV13FoEGD+Pnnn1m+fDk9evRwbB8xYgQffPABr7zyCr///juvv/46ERERAOzfv59BgwbRvXt3Nm/ezMyZM5k1axZPPfVUpR/TyZMnc9111/HLL78waNAgbrzxRo4fP05CQgIff/wxYJbnHTx4kKlTp1bomDt27OCrr76ib9++jnVffPEFvXr1YsyYMTRq1IiOHTvyzDPPkJ+f73TbP//8k8aNG9OyZUtuvPFG9uzZU+b9pKenM2/ePBITE0lISCh1n7lz5xIeHs4111xT5nFmzZrFRRddRPPmzSv0+1WVyvdERERERERE/FRmbj7tH1tarWPYDHj081959PNfK3W7354YSHhwxcMKs2bN4qabbgLgkksuITU1lZUrV9KvXz8Ann76aa6//nomT57suI09a+iPP/5gwYIFLFu2jIsuuggws5HsZsyYQUJCAtOmTXP0XTpw4AATJkzgscceIyCg4jk5o0aN4oYbbgDgmWee4ZVXXmHdunVccskl1KtXD4DY2NgSZXalOffcc9m4cSPZ2dncfvvtPPHEE45tf/31FytWrODGG29kyZIl7Nixg7vvvpvc3FwmTZoEQM+ePZkzZw5t2rTh4MGDTJ48mfPPP5+tW7cSGRnp9Ps/9NBDpKenc8YZZ7B06VKCg4NLHdOsWbMYPnw4YWFhpW4/cOAAX375JfPmzavQ41UdypQSEREREREREbfavn0769atcwR7AgMDGTZsmFP53aZNm7jwwgtLvf2mTZuwWq1OmUZF/f777/Tq1QuLxeJY17t3b06dOsW+ffsqNdYzzzzTcblOnTpERUU5GoJX1vz589m4cSPz5s1j8eLF/Pe//3Vss9lsxMbG8sYbb9CtWzeGDRvGv//9b1577TXHPpdeeinXXnstZ555JgMHDmTJkiWkpKSwYMECp/u58cYb+fnnn/n2229JSkri+uuvJysrq8R41qxZw++//+5UulfcO++8Q0xMDFdeeWWVfufKUKaUiIiIiIiIiJ8KC7Ly2xMDK3Wb5NQsLnppJbYi1XcBFvhmfF/iokMrdd8VNWvWLPLy8pwamxuGQUhICNOmTSM6OrrMzB2g3G0VFRAQUKLksPhseGA2KS/KYrFgs9mqdJ/2Err27duTn5/P7bffzgMPPIDVaiU+Pp6goCCs1sLHsV27diQnJ5OTk1NqplNMTAytW7dmx44dTuujo6OJjo4mKSmJ9u3bk5iYyKeffuoIAtq99dZbdOnShW7dupU6XsMwmD17NjfffHOZmVaupEwpEREREZFaxtPNjUXEfSwWC+HBgZX6adkwgmev7oS1IKvIarHw7NWdaNkwolLHKZqVVJ68vDzmzp3Liy++yKZNmxw/mzdvpnHjxnzwwQeAmaG0fPnyUo/RqVMnbDYbK1euLHV7u3btWLNmjVPQ6ccffyQyMpKmTZsC0LBhQw4ePOjYnpaWxq5duyr0O9jZAzXF+z5VhM1mIzc31xHg6t27Nzt27HAKeP3xxx/Ex8eXGRA6deoUO3fuJD4+vsz7MQwDwzDIzs4ucdsFCxaUmyW1cuVKduzYUe4+rqRMKRERERGRWmT++j08/MkWDMPMjHj6qk7c0KOZ0z4HU7P4M9XCwdQsmjUIKuNIIuLPhnVvRp/WDdl9NIMWDcKJj65+JlJZFi1axIkTJ7jllluIjo522jZ06FBmzZrFnXfeyaRJk7jwwgsd5Wd5eXksWbKECRMm0KJFC0aOHMk//vEPXnnlFTp37szff//N4cOHue6667j77ruZMmUK99xzD2PHjmX79u1MmjSJ8ePHO/pJXXDBBcyZM4chQ4YQExPDY4895pSlVBHNmzfHYrGwaNEiBg0aRFhYmKPZelHvv/8+QUFBdOrUiZCQEH766ScmTpzIsGHDHJlYd911F9OmTeO+++7jnnvu4c8//+SZZ57h3nvvdRznn//8J0OGDKF58+YcOHCASZMmYbVaHRlQf/31F/Pnz2fAgAE0bNiQPXv28PTTTxMWFsagQYOcxjR//nzy8vIcfb1KM2vWLHr27EnHjh0r9bhUlYJSIiIiIiK1xMHUTCYWBKTAbG488ZMtzF29mzObxtAmLpKDqZnM+mEXNsPKjN9X8ezVnRjWvVn5BxYRvxQfHebWYJSdfSa34gEpMINSL7zwAr/88gv9+vXjww8/5Mknn+S5554jKiqKPn36OPadOXMm//rXv7j77rs5duwYzZo141//+hcATZo0YcmSJTz44IN07tyZevXqccstt/DII484bj9x4kR27drFZZddRnR0NE8++WSlM6WaNGnC5MmTefjhhxk9ejQjRoxgzpw5JfYLDAzk+eef548//sAwDJo3b87YsWO5//77HfskJCSwdOlS7r//fs4880yaNGnCfffdx4QJExz77Nu3jxtuuIFjx47RsGFDzjvvPNauXUvDhg0BCA0N5fvvv2fKlCmcOHGCRo0acc455/DDDz8QGxtb4u9w9dVXl9mgPTU1lY8//rjCMwq6gsWo7ByOUmVpaWlER0eTmppKVFSUt4cjPiI3N5clS5YwaNCgErXLIv5O57fUZDq/xR+t3nmU4W/+r1K3sVos/PBwf498cBXxBH9//s7KymLXrl0kJiYSGlrx/k9SO9hsNtLS0oiKiqrUjINVUd65WNH4hzKlRERERERqicQGdbBYwCjW3PjJKztyKDWL1TuP8dPfJ5xuk28Y7D6aoaCUiIi4nBqdi4iIiIjUEvHRYdzRp6Xjur258Y09mzN+QBteHX4WAcX6FlstFlo0CPfwSEVEpDZQUEpEREREpBbp1rweAEkN6/DDw/2d+kXFR4fx7NWdHNctFnjm6o7KkhIREbdQUEpEREREpBZJy8wFoHFM6Q2Oh3VvxvAe5vTpl3WKU5NzERFxGwWlRERERERqkdSCoFR0WNkNns9tWR+AHYfTPTImERGpnRSUEhERERGpRdKyzKBUVDlBqTObmtO2/3H4FJk5+R4Zl4iI1D4KSomIiIiI1CIVyZSKiwohKsgg32bw64FUTw1NRERqGQWlRERERERqkbTMPACiQssOSlksFppHGABs2pviiWGJiEgtpKCUiIiIiEgtUpFMKYBmBUGpzfuUKSUiIu6hoJSIiIiISC1S2FMqsNz9mkeYy83KlBIRETdRUEpEREREpBZJq2CmVEJBptSe4xkcT89x+7hEpHZYs2YNVquVwYMHe3soVfLdd99hsVhISUkpd7/t27fTv39/GjVqRGhoKC1btuSRRx4hNzfXab+UlBTGjBlDfHw8ISEhtG7dmiVLlji2P/7441gsFqeftm3blnqfhmEwaNAg6taty2effea0bc+ePQwePJjw8HBiY2N58MEHycvLc9pn+vTptGvXjrCwMNq0acPcuXMr/sBUUflfj4iIiIiISI1iD0qV11MKIDwQWjYI56+jGWzel0L/NrGeGJ6I1HCzZs3innvuYdasWRw4cIDGjRt7e0huERQUxIgRI+jatSsxMTFs3ryZ2267DZvNxjPPPANATk4OF198MbGxsXz00Uc0adKEv//+m5iYGKdjdejQgW+++cZxPTCw9FDOlClTsFgsJdbn5+czePBg4uLiWL16NQcPHmTEiBEEBQU5xjJz5kwmTpzIm2++Sffu3Vm3bh233XYbdevWZciQIS56VEpSppSIiIiISC1S0Z5SAGc2iQZUwidSY6Xuh12rzKUHnDp1ivnz53PXXXcxePBg5syZU2KfhQsX0r17d0JDQ2nQoAFXXXWVY1t2djYTJkwgISGBkJAQWrVqxaxZsxzbV65cSY8ePQgJCSE+Pp6HH37YKRuoRYsWTJkyxen+unTpwuOPP+64brFYeOutt7jqqqsIDw/njDPO4IsvvgBg9+7d9O/fH4C6detisVgYNWpUqb9ry5YtGT16NJ07d6Z58+Zcfvnl3HjjjXz//feOfWbPns3x48f57LPP6N27Ny1atKBv37507tzZ6ViBgYHExcU5fho0aFDi/jZt2sSLL77o9HjYff311/z222+89957dOnShUsvvZQnn3yS6dOnk5NjZsK+++673HHHHQwbNoyWLVty/fXXc/vtt/P888+X+vu5ioJSIiIiIiK1RF6+jfScfACiKhKUaqqglIjPMwzISa/8z7o3YUpHeGeIuVz3ZuWPYRiVGuqCBQto27Ytbdq04aabbmL27NkYRY6xePFirrrqKgYNGsTPP//M8uXL6dGjh2P7iBEj+OCDD3jllVf4/fffef3114mIMBvg7d+/n0GDBtG9e3c2b97MzJkzmTVrFk899VSlH9LJkydz3XXX8csvvzBo0CBuvPFGjh8/TkJCAh9//DFglucdPHiQqVOnVuiYO3bs4KuvvqJv376OdV988QW9evVizJgxNGrUiI4dO/LMM8+Qn5/vdNs///yTxo0b07JlS2688Ub27NnjtD0jI4Phw4czffp04uLiStz3mjVr6NSpE40aNXKsGzhwIGlpafz666+AGfALDQ11ul1YWBjr1q0rUXLoSirfExERERGpJdKyCjMGokJP/1HAEZTal4phGKWWhYiIl+VmwDPVLIEzbLDkn+ZPZfzrAATXqfDus2bN4qabbgLgkksuITU1lZUrV9KvXz8Ann76aa6//nomT57suI09a+iPP/5gwYIFLFu2jIsuuggws5HsZsyYQUJCAtOmTXP0XTpw4AATJkzgscceIyCg4jk5o0aN4oYbbgDgmWee4ZVXXmHdunVccskl1KtXD4DY2NgSZXalOffcc9m4cSPZ2dncfvvtPPHEE45tf/31FytWrODGG29kyZIl7Nixg7vvvpvc3FwmTZoEQM+ePZkzZw5t2rTh4MGDTJ48mfPPP5+tW7cSGRkJwP3338+5557LFVdcgc1mKzGG5ORkp4AU4LienJwMmEGqt956iyuvvJKuXbuyYcMG3nrrLXJzczl69Cjx8fEVfvwqQ5lSIiIiIiK1hL2fVJ1gK4HW038UaBsXSZDVwvH0HPadyHT38ESkBtu+fTvr1q1zBHsCAwMZNmyYU7nZpk2buPDCC0u9/aZNm7BarU6ZRkX9/vvv9OrVyyl43rt3b06dOsW+ffsqNdYzzzzTcblOnTpERUVx+PDhSh3Dbv78+WzcuJF58+axePFi/vvf/zq22Ww2YmNjeeONN+jWrRvDhg3j3//+N6+99ppjn0svvZRrr72WM888k4EDB7JkyRJSUlJYsGABYGZbrVixokRZYmU9+uijXHrppZxzzjkEBQVxxRVXMHLkSIBKBfQqS5lSIiIiIiK1RGX6SQGEBAbQPj6KzftS+XlvCgn1wt05PBGpiqBwM2OpMtIOwPQeZoaUncUKY/4HUZXIugqq+HPCrFmzyMvLc2psbhgGISEhTJs2jejoaMLCwsq8fXnbKiogIMCpXBAotTQtKMj5OdJisZSagVQRCQkJALRv3578/Hxuv/12HnjgAaxWK/Hx8QQFBWG1Wh37t2vXjuTkZHJycggODi5xvJiYGFq3bs2OHTsAWLFiBTt37iyRtXXttddy/vnn89133xEXF8e6deucth86dAjAUe4XFhbG7Nmzef311zl06BDx8fG88cYbREZG0rBhwyr97hWhTCkRERERkVoiLatg5r0KBqUAOifEAOorJeKzLBazhK4yPw3OgCFTzUAUmMshU8z1lTlOBUt68/LymDt3Li+++CKbNm1y/GzevJnGjRvzwQcfAGaG0vLly0s9RqdOnbDZbKxcubLU7e3atWPNmjVOQacff/yRyMhImjZtCkDDhg05ePCgY3taWhq7du2q0O9gZw8UFe/7VBE2m43c3FxHgKt3797s2LHDKeD1xx9/EB8fX2pACsxm8Tt37nSU0z388MP88ssvjsd048aNALz00ku8/fbbAPTq1YstW7Y4ZXstW7aMqKgo2rdv73T8oKAgmjZtitVq5f/+7/+47LLLlCklIiIiIiLVZ8+UqlRQqmkM8LeCUiI1TdcRkHQhHP8L6rWE6CZuu6tFixZx4sQJbrnlFqKjo522DR06lFmzZnHnnXcyadIkLrzwQpKSkrj++uvJy8tjyZIlTJgwgRYtWjBy5Ej+8Y9/8Morr9C5c2f+/vtvDh8+zHXXXcfdd9/NlClTuOeeexg7dizbt29n0qRJjB8/3hFUueCCC5gzZw5DhgwhJiaGxx57zClLqSKaN2+OxWJh0aJFDBo0iLCwMEez9aLef/99goKC6NSpEyEhIfz0009MnDiRYcOGOTKx7rrrLqZNm8Z9993HPffcw59//skzzzzDvffe6zjOP//5T4YMGULz5s05cOAAkyZNwmq1Osog7TPy2dkDXAkJCSQmJgIwYMAA2rdvz80338wLL7xAcnIyjzzyCGPGjCEkJAQwg2Hr1q2jZ8+enDhxgpdeeomtW7fyzjvvVOrxqSxlSomIiIiI1BJpmWaj86jQigelujSLAWDrgVRy86tWviIiPiq6CSSe79aAFJilexdddFGJgBSYQamffvqJX375hX79+vHhhx/yxRdf0KVLFy644AKnsrOZM2dyzTXXcPfdd9O2bVtuu+020tPTAWjSpAlLlixh3bp1dO7cmTvvvJNbbrmFRx55xHH7iRMn0rdvXy677DIGDx7MlVdeSVJSUqV+lyZNmjB58mQefvhhGjVqxNixY0vdLzAwkOeff54ePXpw5plnMnnyZMaOHctbb73l2CchIYGlS5eyfv16zjzzTO69917uu+8+Hn74Ycc++/bt44YbbqBNmzZcd9111K9fn7Vr11aqpM5qtbJo0SKsViu9evXipptuYsSIEU5N1/Pz83nxxRfp3LkzF198MVlZWaxevZoWLVpU6vGpLItRvKBS3CYtLY3o6GhSU1OJiory9nDER+Tm5rJkyRIGDRpUonZZxN/p/JaaTOe3+KOZ3+3k+a+2MbRrU168rnOZ+xU9v63WQDo/8TUns/JYfO95dGhc8kOliD/x9+fvrKwsdu3aRWJiIqGhod4ejvgYm81GWloaUVFRbi27g/LPxYrGP5QpJSIiIiJSSxT2lKp4F4+AAEtBCR9s3pvqjmGJiEgtpaCUiIiIiEgtUdnZ9+w6J5jZUeorJSIirqSglIiIiIhILZFW1aCUPVNqX4qLRyQiIrWZglIiIiIiIrWEY/a9SjQ6B+iSEAPAH4dOkp6d5+phiYhILaWglIiIiIhILVHVTKnYqFDio0OxGbB1v/pKiYiIaygoJSIiIiJSS6RlmVlOUZUMSoFK+ER8jWEY3h6C1HKuOAcVlBIRERERqSWq2ugcoHNBCZ9m4BPxrqAg8/83IyPDyyOR2s5+DtrPyaqo+FywIiIiIiLitwzDcJTvRYVV/mOAfQa+TZqBT8SrrFYrMTExHD58GIDw8HAsFouXRyW+wmazkZOTQ1ZWFgEB7slDMgyDjIwMDh8+TExMDFartcrHUlBKRERERKQWyMjJJ89mllpUJVOqU5NoLBbYn5LJkZPZNIwMcfUQRaSC4uLiAByBKRE7wzDIzMwkLCzM7cHKmJgYx7lYVQpKiYiIiIjUAmlZZpZUYICFsKDKf6sdGRpEq4YR/Hn4FJv3pnBR+0auHqKIVJDFYiE+Pp7Y2Fhyc3O9PRzxIbm5uaxatYo+ffpUq6zudIKCgqqVIWWnoJSIiIiISC1QtJ9UVb8975wQYwal9ikoJeILrFarSwIDUnNYrVby8vIIDQ11a1DKVdToXERERESkFkjLrPrMe3b2ZufqKyUiIq6goJSIiIiISC2Q6mhyXvWgVJemMQBs3pui6ehFRKTaFJQSEREREakFHDPvhVa9g0ebuEiCAwNIy8rj05/3czA101XDExGRWkhBKRERERGRWqBoT6mqCg4MIC7KnHVv/ILN9H5uBfPX73HJ+EREpPZRUEpEREREpBawz75XnfK9g6mZ7D1emB1lM+Bfn2xVxpSIiFSJglIiIiIiIrWAKzKldh1Np3gnqXzDYPfRjGqMTEREaisFpUREREREagHH7HuhVQ9KJTaoQ4DFeZ3VYqFFg/DqDE1ERGopBaVERERERGoBV2RKxUeH8ezVnZwCU3f1TyI+Oqy6wxMRkVpIQSkRERERkVqgsKdU1WffAxjWvRk/PnwBvZPqA7Bu13EMo3hRn4iIyOkpKCUiIiIiUgukuSBTyi4+OowXru1MSGAA63Yd5+vfDlX7mCIiUvsoKCUiIiIiUgvYg1LV6SlVVJOYMG49PxGA577cRk6e7bS3OZiayeqdRzVbn4iIAApKiYiIiIjUCq7oKVXcXf1a0SAimF1H03lv7d/l7jt//R56P7eC4W/+j97PrWD++j0uG4eIiPgnBaVERERERGq4vHwb6Tn5AES5MCgVERLI+IvbADB1+Z+kZOSUut/B1Ewe/mQLtoLWUzYD/vXJVmVMiYjUcgpKiYiIiO9K3Q+7VplLEamytKw8x+Wo0Oo1Oi/uurOb0rpRBKmZuby6YkeJ7UdPZfPAgs0U74WebxjsPprh0rGIiIh/UVBKREREfNPGuTClI7wzxFxunOvtEYn4LXs/qYiQQAKtrv0IEGgN4F+D2gEwd81udh9NB8AwDOav38OFL65k9c5jJW4XYIEWDcJdOhYREfEvCkqJiIiI70ndDwvvA6OgcbJhg4XjlDElUkWpjibnrs2SsuvXJpY+rRuSm2/w+MJf+einvVw1YzUTPt5CamYuHRpHMfaCVlgtFsdtuiTEEB8d5pbxiIiIf3DPq5KIiIhIdRzfWRiQsjPy4fhfEN3EO2MS8WNpWQVBKRf2kyru34Pa8f0fR/huu/kDEGS1MOGStow6twWB1gBu7NmMb347xKOf/8pvB9M4mZVLpItmAxQREf+jTCkRERHxPfWSwFLsbYrFCvVaemc8In7OkSnlxqBUVFggxdpGkW8zGHxmvKNkMD46jJvOaU5Swzpk5dpYsuWg28YjIiK+T0EpERER8T3RTaDPg4XXLQEwZIqypESqKC3TbHQe7cag1K6CXlJF2QxKNDO3WCxc0y0BgI827HPbeERExPcpKCUiIiK+KaFH4eVLX4CuI7w3FhE/V9hTyn1BqcQGdQiwOK+zWiylNjO/umsTAiywfvcJR2N0ERGpfRSUEhEREd+UfrTwcvFSPhGpFHtQyp2ZUvHRYTx7dSdHM3OrxcIzV3cstZl5o6hQ+rRuCChbSkSkNlOjcxEREfFNpw4XXs5K9d44RGqAwkbn7n37P6x7M/q0bsjuoxm0aBBe7ux613Rrynfbj/Dxxn3cf3FrrMXTrEREpMbT144iIiLim9KPFF7OSvHaMERqAk9kStnFR4fRK6l+uQEpgIvaNSI6LIiDqVms2XnM7eMSERHfo6CUiIiI+Kai5XuZKV4bhkhNkOaBnlKVFRpk5fLOjQH4cMNeL49GRES8watBqWeffZbu3bsTGRlJbGwsV155Jdu3b3fap1+/flgsFqefO++802mfPXv2MHjwYMLDw4mNjeXBBx8kLy/PaZ/vvvuOrl27EhISQqtWrZgzZ06J8UyfPp0WLVoQGhpKz549WbdundP2rKwsxowZQ/369YmIiGDo0KEcOnTINQ+GiIiIOEtX+Z6Iq6R5MFOqMq7p1hSAr7YmO0oMRUSk9vBqUGrlypWMGTOGtWvXsmzZMnJzcxkwYADp6c4zcNx2220cPHjQ8fPCCy84tuXn5zN48GBycnJYvXo177zzDnPmzOGxxx5z7LNr1y4GDx5M//792bRpE+PGjePWW29l6dKljn3mz5/P+PHjmTRpEhs3bqRz584MHDiQw4cL3xDff//9LFy4kA8//JCVK1dy4MABrr76ajc+QiLVkLofdq0ylyIi/kjleyIuk5ZlfmEb5WNBqTObRnNGbATZeTYW/3LQ28MREREP82pQ6quvvmLUqFF06NCBzp07M2fOHPbs2cOGDRuc9gsPDycuLs7xExUV5dj29ddf89tvv/Hee+/RpUsXLr30Up588kmmT59OTk4OAK+99hqJiYm8+OKLtGvXjrFjx3LNNdfw8ssvO47z0ksvcdtttzF69Gjat2/Pa6+9Rnh4OLNnzwYgNTWVWbNm8dJLL3HBBRfQrVs33n77bVavXs3atWs98GiJVMLGuTClI7wzxFxunOvtEYmIVN6pIkEple+JVIsne0pVhsVi4dqzzWwpzcInIlL7+NTse6mpZmp+vXr1nNa///77vPfee8TFxTFkyBAeffRRwsPDAVizZg2dOnWiUaNGjv0HDhzIXXfdxa+//spZZ53FmjVruOiii5yOOXDgQMaNGwdATk4OGzZsYOLEiY7tAQEBXHTRRaxZswaADRs2kJub63Sctm3b0qxZM9asWcM555xT4vfJzs4mOzvbcT0tLQ2A3NxccnOVniwm+7ngsnMi7QCBC+/DYtjM64YNY+F95DXvC1GNXXMfIhXk8vNbag/DIDD9CPa5uIysVPJ87DzS+S3+wjAMR/leWGDFzllPnt+DOzbi+a+2s+HvE2w/kELLhnXcfp9Su+n5W2oyXzm/K3r/PhOUstlsjBs3jt69e9OxY0fH+uHDh9O8eXMaN27ML7/8woQJE9i+fTuffPIJAMnJyU4BKcBxPTk5udx90tLSyMzM5MSJE+Tn55e6z7Zt2xzHCA4OJiYmpsQ+9vsp7tlnn2Xy5Mkl1n/99deOoJqI3bJly1xynAYnf6O3PSBVwGLYOPjenWxqfiuGxWf+7aUWcdX5XduF5hwnIjuZUyFxZAXXO/0N/FhgXjqDbYVvZnLTDvPlkiVeHFHZdH6Lr8vOhzyb+fq/dtUKQqwVv62nzu82UQH8lhLAfz7+niHNbKe/gYgL6PlbajJvn98ZGRkV2s9nPp2OGTOGrVu38sMPPzitv/322x2XO3XqRHx8PBdeeCE7d+4kKSnJ08OslIkTJzJ+/HjH9bS0NBISEhgwYIBTCaLUbrm5uSxbtoyLL76YoCAXpNSndcF49XksGE6rm51YTdOwLPKveA3qtaz+/YhUgMvP71rMsuk9rEvGYzFsGJYA8ge9hNHlJm8Py32O/QlbCq8G2TIZdOklYPGdiYN1fou/OJiaBetWERhg4crLLsVisZz2Np4+vy3Nkrl3/i9sORnGtEv6YA04/RhFqkrP31KT+cr5ba8UOx2fCEqNHTuWRYsWsWrVKpo2bVruvj179gRgx44dJCUlERcXV2KWPPuMeHFxcY5l8VnyDh06RFRUFGFhYVitVqxWa6n7FD1GTk4OKSkpTtlSRfcpLiQkhJCQkBLrg4KC9OQnJbjsvKjfHJr1hD0Fvc4sVuh6M/z6KQEHNhLwVn+49HlI6g/H/4J6SRDdpPr3K1IOPe9VU+p+WDIeCrIgLYaNwCUPQOsBNff/NzvFXEY1gbT9WAwbQbZsCPW9L3V0fouvy8jLBMx+UsHBwZW6rafO74GdGhOz8HcOpWUzZ+1erujSmPjoMLffr9Ruev6Wmszb53dF79urXzcahsHYsWP59NNPWbFiBYmJiae9zaZNmwCIj48HoFevXmzZssVplrxly5YRFRVF+/btHfssX77c6TjLli2jV69eAAQHB9OtWzenfWw2G8uXL3fs061bN4KCgpz22b59O3v27HHsI+IT8nPhyHbz8sBnYNwWGDIV7vwRmp8HuenwxVh4uYMaoYv4i+M7HQEpByPfDCzXVKcKXtejm4K14AsezcAnUiVpmb45815RIYFW2sdFAvDcl9vo/dwK5q/f4+VRiYiIu3k1KDVmzBjee+895s2bR2RkJMnJySQnJ5OZaX6bs3PnTp588kk2bNjA7t27+eKLLxgxYgR9+vThzDPPBGDAgAG0b9+em2++mc2bN7N06VIeeeQRxowZ48hSuvPOO/nrr7946KGH2LZtGzNmzGDBggXcf//9jrGMHz+eN998k3feeYfff/+du+66i/T0dEaPHg1AdHQ0t9xyC+PHj+fbb79lw4YNjB49ml69epXa5FzEa3atgswTEN4AetxRmEURkwAjv4De9zvvb9hg4TgzE0NEfFO9JKB4KYulZpfiphfMvFenIYTFmJc1A59Ildhn3vPloNTB1EzW7DruuG4zYOInWziQUrGeJCIi4p+8GpSaOXMmqamp9OvXj/j4eMfP/PnzATOD6ZtvvmHAgAG0bduWBx54gKFDh7Jw4ULHMaxWK4sWLcJqtdKrVy9uuukmRowYwRNPPOHYJzExkcWLF7Ns2TI6d+7Miy++yFtvvcXAgQMd+wwbNoz//ve/PPbYY3Tp0oVNmzbx1VdfOTU/f/nll7nssssYOnQoffr0IS4uztFwXcRn/Pa5uWw3BKzFKnQDrNDqgpK3qekZFyL+LqoxhNUtttKAPWu8MhyPSD9qLus0hNBo83JWqvfGI+LH7DPvRYX6ROeOUu06mo7h3A4TmwHDXl/L/PV7yMrNB8zg1eqdRzmYmumFUYqIiKt59ZXJKP7KU0xCQgIrV6487XGaN2/OktPMyNOvXz9+/vnncvcZO3YsY8eOLXN7aGgo06dPZ/r06acdk4hX5OfBtkXm5fZXlL5PvSSzUXDRUiCLtWZnXIj4u+N/QeZxsATC8P+D376An+fCp3eaQZuWfb09QtdLLyjfi4iF0Bjzssr3RKrEnikV7cOZUokN6hBgMQNRRe09kcmEj7fw3Jfb6JwQw6o/jmAzIMACz17diWHdm3lnwCIi4hK+M4WNiFTf3z9AxjEIqwctzi99n+gmZo8pO4sFhkypuc2SRWqCnSvMZfNecMbF5v9wh6vAlgvzb4Lkrd4dnzuUVr6nTCmRKknL8v3yvfjoMJ69uhPWgpkBrRYLk4a051+D2tIkJowTGbl8t/2II2hlM+Bfn2xVxpSIiJ/z3RxeEak8R+neZSVL94rqOgJ2/wi//B90v828LiK+66/vzGXLfuYyIACufM1sBv73j/D+NXDLMrN3XE1xyh6UalBYvqeeUiJV4g+ZUgDDujejT+uG7D6aQYsG4Y7Z9/7RO5Hp3+7g5W/+dNo/3zDYfTRDs/SJiPgxZUqJ1BS2fPi9oN9a+ytPv3+jDuYy43j5+4mId+XnmRMYACT1L1wfFArXvw8N28HJg2Zg6tBv5r41YeICR6aUyvdEqssx+16obwelwMyY6pVU3ynQFGgN4LruCQQUn+8BWLB+D+nZeR4coYiIuJKCUiI1xd+rzQ9xoTGQ2Of0+9dtYS5P7HbjoESk2vZvgOw0s9F5fBfnbWF14aaPILIxHNkGM3vBO0NgSkfYONcrw3WZoo3OVb4nUi3+kilVnuLlffb41KebDnDJ1FWs/euYmqCLiPghle+J1BS/fWYu214G1gq86VRQSsQ//PWtuUzsa86gWVx0U7hyBrx7ZeE6wwYLx0HShf7ZLy43C7ILAlARDVW+J1JN9p5S/hyUgpLlfX8dSeehj35h7/FMrn9jLRbAQE3QRUT8iTKlRGqCoqV7Ha6s2G3qNjeXGUch+6RbhiUiLmBvcl60dK+40oJVRr45a58/yijIkgoINLM/Vb4nUi1pmfZG5/7/fXTR8r7erRrw1bjzubxzPGAGpMDeBH2LMqZERPyAglIiNcHe/8GpQ2Y2QWIFp4YPjTZLfwBO/O2+sYlI1WWlwr6fzMstywlK1UsCSykv6f4alDp12FzWaWjOEKryPZFqSasB5XtliQwN4voeJTOi8g1YvPlgpY6l8j8REc9TUEqkJvj1M3PZZjAEBlf8dvYSvhQFpUR80u4fzIynekmF2Y2liW4CQ6aCpVjG1MJ74dtnwWZz7zhdrWg/KVD5nkg12XtK+UOj86pIbFCn1CboTy35neFvrmXjnhNA+UGn+ev30Pu5FQx/83/0fm4F89fvcfewRUQE9ZQS8X82G/z+hXm5/RWVu23dFnDgZ/WVktondT8c32kGe3y551JFSvfsuo4we0gd/wtimsHamfC/mbDyOTi0FS58zMyo9PXfGSC9SKYUqHxPpBry8m2k5+QDNTNTCgqboP/rk63kGwYBFjgnsR7r/z7B6p3HuHrGatrFRbLt0EkMw+w59cjg9rRvHMWfh07y854UPvm5cNZSs/xvK31aN3SaBVBERFxPQSkRf7dvnTkdfEhUxT64FqVm51IbbZwLC+8zm4FbAswMo64jvD2q0u0saHJeXuleUdFNCgNOlz4H8WeaDc+3LTJ/wPd/ZzBnEgWIiDWX9kwple+JVFpaVp7jcmRozX3rX7wJenx0GPtOZPDK8j/5aMM+fk8u7J9pM+CJRb+Ve7x8w2D30QwFpURE3EzleyL+7rfPzWWbSyEwpHK3jSkoB1JQSmqL1P2FASkonKUudX+5N3Pp/e9aVbH7O/G3mc1lsULi+VW7vy7D4bq5zus8/TtXhaN8r4G5tPeUyssyZ+YTkQqzl+5FhAQSaK3Zb/2LNkEHaFo3nBeu6cx/rjmz1P0bRARzQdtYbjynGcWr/6wWCy0ahLt5xCIiUnO/LhGpDWy2wqBUZUv3QJlSUvsc31kYkLIz8uGHl+G8+80sI3eV9lU2Q+uvgiyppmcXZgpVRXApH6qMfPN39NUyvlPFyveCI83HzLCZJXxBcV4bmoi/ccy8V4OzpE7n3FYNCLCYGVJ2ARZYeM95jgDWmU2imfDxFse2Z67uqCwpEREPqNlfl4jUdPs3QNp+CI4we8lUlqPR+R7/a4QsUhX1kkpfv/5NeLk9TO0CL3eAd4bAlI5mIMkVqpKhVdnSvbKUNTPf/96AXB+dYcpevlenoHwvIMAsUQaV8IlUkqPJeQ3tJ1UR9p5TVouZD2W1WHj26k5OQadh3ZvRq2U9ACYMbMuw7iVn9BMREddTUErEn/38nrlM7ANBoZW/fXRTszQoL8tsgCxS00U1LgxugBms6TgUmvUyr5/YBRR8lW7YzECSK8rcdnxTeobW8b9K39+WD7tWmpeTLqjefZeYmc9i/mxbCG9f6ptlfI6gVMPCdfYSPs3AJ1IpaVkKSoEZdPrh4f58cNs5/PBw/1KDTgn1zMzSXH1RJyLiMbU3j1fE3214BzbOMS9v/9LM6Khs42JrkBmYSvnbLOGLinf1KEV8y5FtkJ0G1hC44QNo2LawhG3rp/DRKOf9DRssGAkDn4ZmPat2n78vgi8nlL4tvH7p6w9uhswTZgCtSbeq3W9RRWfmq9fSLN1bMNKcffONfjDsPfO5wFdmJHQ0Oi8SlHLMwKdMKZHKsGdK1dSZ9yojPjqs3JK8BhFmb86jp3I8NSQRkVpPmVIi/ih1PywaV2SFUfXGxXXV7Fxqkb++M5fNz4VWFzoHXxJ6lF7mtn89zB4Abw+GHcshdV/FmpUbBqz6L8y/EfIyoUHrItlKBX54qfTb7lxhLlucD1YXfX8U3cRsmB7dxMyuvP1baNQR0g+bGVPuKFusCputSKPzokEp+wx8KR4fkog/S8s0Z9+LClVQ6nTsQakjJ7O9PBIRkdpDQSkRf1RWs+aySoHKo2bnUpvY+zQlldKnqXiZm8UKFzwGXUdCQBD8/QO8d7Vz8Oant0seJ3U//LnMDEateNJc1+N2uGs1jNsCIxfBDf9nBsC2fAhbPyl5DHvwrLRxukrdFvCPpdDqYvP5w6lscZz3yvoyTxSMBwhvULhe5XsiVaJMqYprGFkQlDqloJSIiKeofE/EH9VLwuwLU2QaGYvVLMupLEez879dMDARH5aXA7t/MC+X1Ty8eJmbPZOq7wT47jn4uUgGkWEzMxbXzoT4ztCoPZxMhnVvFAkaW2Dwi9D9FvNqdJPCY57/AKz6Dyy63+xpZS+fzUmHPWvNy9XtJ3U6IRFw7j2wY5nzenuQ2xtlfPbSvdAYCAwuXK/yPZEqKewppbf9p1NYvqeglIiIp+jVScQfRTeB+DPNvjNgBqSGTKnaB0hlSkltsf8nyE03s28adSx7v6KBo6LrzrzWOShld3S7+bOllGNZLND6ktLvp+8E+PNr8//48zFw08fm/rt/BFsuRDerWqC5suq3wmVBbldIP2wui5bugcr3RKpImVIV58iUUvmeiIjHqHxPxF8FFMSU+//bLAmqbJNzOwWlpLawl+617AsBVXj5q5dUsueUJQAunwYXPGL2fyrOsJVdVmsNgqveMJuu71wOP8021/9VpMSwYPpyt4puYpYo2lUnyO0Kjibnsc7rVb4nUiVpBUEp9ZQ6vYYFmVIns/LIys338mhERGoHBaVE/JW938sZF1fvw2NMC3N58iDkZlZ7WCI+yx7sadmvarcvrefUkKnQ9Wbo8yBc9XopQavTZBzFtoWLHjcvf/0IHNtZft8rd2k3xFzWTaxekNsVHE3OGzivV6aUSJWkKVOqwqLCAgm2ms/jx9I1A5+IiCcoKCXij/Jy4NQh83JU0+odK7weBEeal1P2VO9YIr4qKxX2bzAvl9VPqiK6jihsVl48eFNq0GrK6YPGPe80Z8PLzYB518OR3831iX2rPs7KCqtrLm153suQsjtlL98rlimlnlIiVZKWVTD7noJSp2WxWGgQYfayUwmfiIhnqKeUiD86eQAwzLKf4tkElWWxmCV8h7bAib+hYRtXjFDEt+z63iylq98KYhKqd6zSek7ZldUovTwBAXDFDJh2Nhz7o3D9tkWey1hylMad8Mz9lcdevle8p5TK90SqRD2lKqdBZAgHUrM4qqCUiIhHKFNKxB/ZS/eiGrum50zd5uZSfaWkpvrrO3NZ1dK9yohuAonnVy7jyBIAecU+AC0cV/i/7m72TKmcU5Cf65n7LIsjKFW8fC/GXCpTSqTCDMMo7Cml2fcqRDPwiYh4loJSIv4oreCDanQ1S/fs1OxcajpHPykP9mmqjOM7cZr9DsDIL7tJuqvZ+zWB9zORymp07ghKpXhyNCJ+LSMnnzyb+dyiTKmKsTc7V/meiIhnKCgl4o9S95pLBaVETi9lLxzbYWYjJZYyQ54vKHVmv9M0SXelAGthYMrbJXynK9/LTgObZsUSqYi0LDNLKjDAQliQ1cuj8Q8NIs2eUsqUEhHxDAWlRPyRo3zPRQ2JFZSSmsxeutekm3NGkC+papN0V/KVTKRTZQSliv7tVMInUiFF+0lZXFHuXwsUlu9p9j0REU9QcbmIP3KU77k4KJXyNxiGa/pUifgKXy/ds6tKk3RXCqtrPgd4M1MqJx1y083LxYNS1iAIqmNuz0oxZw4VkXKlZWrmvcpqGKnyPRERT1JQSsQf2TOloqs5i5hddAJgMZscZxyr/ox+Ir7CZvNsk/PqKm9mP3ezNzv3ZlDKXrpnDYGQyJLbw2IKglLKlBKpiFRHk3MFpSpKjc5FRDxL5Xsi/ihtn7l0VfleUKg5kx+ohE9qlkNbzUBrUB1o2t3bo/Ft9p5N3mx0nn7UXEbElp6x6eh7leKxIYn4s7Qi5XtSMQ3U6FxExKMUlBLxNznphZkMrsyoiGluLhWUkprEXrrX4jwIDPbuWHydL2VKlZWt6St9r0T8hCNTKlTFERVlL987mZ1HVq4mVRARcTcFpUT8jb10LzjStU2b1excaqKd9n5S/bw6DL/gC0GpU4fNZZ3Y0rfbn/NUvidSIfbZ95QpVXFRoYEEW82PSCrhExFxPwWlRPyNvXTP1X1nFJSSmiY3C/asMS8n+XiTc1/gC1lI6WXMvGfnCyWGIn5EPaUqz2KxqNm5iIgHKSgl4m8cTc6buva4CkpJTbN3LeRlQUQcNGzr7dH4Pl/IlFL5nohL2WffU6ZU5TSIMMu9j57K8fJIRERqPgWlRPxNWkFQylVNzu0cQam/XXtcEW8pWrpXWtNsceZLQakIle+JuEJhTykFpSpDM/CJiHiOglIi/iZ1r7l0eaZUQaPztH2Qn+vaY4t4w1/fmUuV7lWML5TGqXxPxKU0+17VqHxPRMRzFJQS8TepbsqUimgEgaFg2AoDXyL+KuM4HNxsXk7s692x+AtfyJQ6dZqglMr3RCrF3ug8Kkyz71WGMqVERDxHQSkRf5Pmpp5SFov6SknN8dd3gAEN20FUvLdH4x+KBqUMwztjOF2mlMr3RColVZlSVVLYU0pBKRERd1NQSsSfGIb7Gp2DglJSc2xbbC6bdvfuOPyJPQvJyIecU56///w8yDhmXlb5nohLpKmnVJU0jAwFVL4nIuIJCkqJ+JPME5Cbbl6Oauz64ysoJTXBhndg60fm5Z/fhY1zvTsefxEUBlazZMUrJXyZxwEDsEB4/dL3UfmeSIXl5ttIz8kHlClVWZp9T0TEcxSUEvEn9tK98PrmB0hXiylodq6glPirA5th4b1FVhiwcFxhhqGUzWLxbl8pe+leeD2wltH/pmj5nrdKDEX8xMmsPMflyFD1lKqMBgWNzo8qU0pExO0UlBLxJ+5qcm7nyJT62z3HF3GnbUvgnctKrjfy4fhfnh+PP/Jmedypw+ayTmzZ+9jHZ8uDnHS3D0nEn9n7SUWEBBJo1Vv+yrDPvncyO4+s3Hwvj0ZEpGbTK5SIP0nbZy6jE9xzfJXviT/KSYeF98H/3QDZaSW3W6xQr6Xnx+WPvJopddRc1mlQ9j5B4RBQkPGhZuci5SrsJ6UsqcqKDAkkOND8mKS+UiIi7qWglIg/cTQ5d1emVEH5XlaKd6eFFzmd1P2waxVsXwqv94ENc8z1594Dg182A1FgLodMcd//TE3j1aCUPVOqjCbnYJYYqq+USIXYM6Wi1E+q0iwWCw0jCkr4NAOfiIhb6asTEX+SWpAp5a7yveA6ZulM+mGzhM/+AVXEl2yca2ZGGbbCdZGN4arXoGVf83rrgWbJXr2WCkhVhjcDPvaeUhHllO+BWcKXcVQz8ImcRlqWglLV0SAyhP0pmcqUEhFxMwWlRPyJvdF5dFP33Ufd5gVBqd3QuIv77kekKlL3lwxIYYGbPoJGHQpXRTdRMKoqfKHReXnle+Dc7FxEymTPlNLMe1XTUDPwiYh4hMr3RPyJPVPKrUGpFuYyRc3OxQcd31ksIAVgQMZxrwynxvFmUOqUPSh1mkwple+JVMi+E5kABAZYvDwS/2Rvdq5MKRER91JQSsRf2GyQdsC87K7yPVCzc/Ft9ZLAUuylS43MXcebs+85MqXK6SkF3h2jiJ+Yv34Pr323E4CvtiYzf/0eL4/I/zRQTykREY9QUErEX6QfAVuu+YE8Mt5996OglPiy6CZmI3M7S4AambuSL5Tvna6nlMr3RBwOpmayeudRDqZmYhgGfxw6yX++2saEj7dgFOxjAP/6ZCsHUzO9OVS/o6CUiIhnqKeUiL+wl+5FxIHVjf+6CkqJr2t1gbkMCIR7N0FMgleHU6N4KwvJMCrRUyrGXKp8T2q5+ev3MPGTLdgKok8xYUGkFPSRKi7fMNh9NIP46DAPjtC/qXxPRMQzlCkl4i/S7P2k3JwREtPcXKbsBVu+e+9LpCpS9prL6AQFpFwttCBTytMBn5xTkJdlXlb5nshpHUzN5OEiASmAlMxcgq0WzmlZj+JdpKwWCy0ahHt0jP5OmVIiIp6hoJSIv0j1wMx7AFGNISDILBW097AS8SWpBUEpBaRczxHw8XD53qnD5jKoDgTXKX9fle+JsOtoOoZRcv2bI87m/27vxXNDO2G1mKEpq8XCM1d3VJZUJTXQ7HsiIh6h8j0Rf5FWEJRyZ5NzgAArxDQzZzk7sVsf/MX3ODKlmnl3HDWRvadUzinIzwWrh6aSTz9qLk9Xugcq35PaJXW/+XpcL8kpUzqxQR0sQNG4lNVioXVcJADDujejT+uG7D6aQYsG4QpIVYG9fO9Udh6ZOfmEBVu9PCIRkZpJmVIi/sKeHeLuTClQXynxbSl/m0sFTF3PnoUEni2PSy/IlDpdk3MoHKPK96Sm2zgXpnSEd4aYy41zHZvio8MY0KGR43pp2VDx0WH0SqqvgFQVRYQEEhJoflRSCZ+IiPsoKCXiL1I9lCkFhUGpXasK71fEVzjK95Qp5XIB1iJBHw+W8DmanJ+mnxQUlhiqfE9qstT98MW9YNjM64YNFo5zek1uGxcFwEXtYvnh4f4M667nRFeyWCyOvlJHFJQSEXEbBaVE/IW9fM/djc4BMo6Zyy0LSnw7K+J1RRudi+vZS/g8GpRS+Z6IQ8pe+PgWnIvzACMfjv/luJpnMwNWTeuqPM9dNAOfiIj7KSgl4g/yc+FksnnZ3R/EU/fDb58XXi/l21kRr7HZILVgJkqV77mHN4I+9kbndSpRvpebAXlqQCw1SF42fP8iTOsOe9aU3G6xQr2Wjqu5+WbQKjhQb+fdRTPwiYi4nxqdi/iDkwcBA6zBEF6BTILqOL6TMr+d9USWlkh50o9AfjZYAjxTylobeSVTqhLle0X7XmWlQkQFbiPiq+yNzNMOwsrnC16Dgea9IbEPrHzBfA22WGHIFKfX4Zw8M1MqyGrxwsBrB3um1NGTCoCLiLiLglIi/sCeGRLVGALc/I1ovSTzA7+9jwWU+HZWxGvs/aQi4z03M1xt482gVEUCTAFWCImG7FQzm0tBKfFlZcyeR/ZJWDMTvnsGpy+CIhrBgKeg07VgscBZN5tfCtVrWeKLodx8e1BKmVLu0jAiGIAjp7K8PBIRkZpLQSkRf+Bocu6Bmfeim8Dgl2DROPN6Kd/OinhNyh5zqX5S7mNvJO7R2fcqkSkFZrZUdqqanYtv2zgXFt5X+CVPw3aAAWkHIDutlBtYYMRCiG1TuCq6SZmvv3kF5XsKSrlPA2VKiYi4nV7FRPxBWkGmVLQHglIAZ48u7Ctz0yfQdYRn7lfkdBwz7yko5Ta+Xr4HEGafITDFLcMRqbZ9G5xnzwM48jsc2VZGQArAgPTDFb6Lwkwple+5S0P1lBIRcTtlSon4g1QPzrxnFxlf0OjYON2eIp6jmffcz9NBqfzcwvuqSKNz0Ax84rsyjpvNyv/3OqW+fl78JLS+xNw245xqlcrnqHzP7eyZUkcUlBIRcRsFpUT8QZq9fM+DQamIWPNb3VMV/9ZWxO2UKeV+ng74pB81lxZrYUDsdOzNzhWUEl+Quh8ObYG/voeN70DOydL3s1ih49DCL5iGTDVnty2jkfnpqKeU+zlm3zupoJSIiLsoKCXiD+wfxD1Vvgdms1WAU4c8d58ip+PoKdXMu+OoyTydKWUvV6rToOITOXij75VIaTbONcv0imZFxXWCCyeZvaMW3V920KnrCEi6sMxG5qdT2FNK5XvuYp99Lz0nn4ycPMKD9dFJRMTV9Mwq4g9SvZQpBQpKie8wjMLyPWVKuY/Hg1KV7CcFKt8T35C632xkXjQgZQmA6z8ofI5qdVH5QadyGpmfjsr33K9OsJXQoACycm0cPZlDs/r66CQi4mp6FRPxdTkZkHncvOyVTCmV74mPyEopLItRTyn38XQW0il7UKpBxW/jCEpp9j3xouM7nXtCgXn9xO7C69FNIPF8t/SEVPme+1ksFkcJn/pKiYi4h17FRHxd2gFzGRxR2EfFE1S+J77GniUV3gCCw707lpqsaKaU4YGJDhyZUhVscg4q3xPfUC+p5LpKNiuvjlxH+Z7ezruTvYTviPpKiYi4hV7FRHydvZ9UVBOweLBvhKN8T5lS4iPU5Nwz7EEpIx+yy2jY7ErH/zKXgWEVv40anYsviIyHoCIB8io0K6+OPEemlHpKuZOj2bkypURE3MKrQalnn32W7t27ExkZSWxsLFdeeSXbt2932icrK4sxY8ZQv359IiIiGDp0KIcOOWdu7Nmzh8GDBxMeHk5sbCwPPvggeXl5Tvt89913dO3alZCQEFq1asWcOXNKjGf69Om0aNGC0NBQevbsybp16yo9FhGXs8+856E3uQ7KlBJfY8+UUumeewWFgdX8EOb2oM/GubDhbfPyz3PN6xWh8j3xBYd/hdwMMzB182cwbovZvNxDcpQp5RH2TCkFpURE3MOrr2IrV65kzJgxrF27lmXLlpGbm8uAAQNIT0937HP//fezcOFCPvzwQ1auXMmBAwe4+uqrHdvz8/MZPHgwOTk5rF69mnfeeYc5c+bw2GOPOfbZtWsXgwcPpn///mzatIlx48Zx6623snTpUsc+8+fPZ/z48UyaNImNGzfSuXNnBg4cyOHDhys8FhG3sDc592Q/KSgMSmUeh/xcz963SGkcmVKaec/tPNHs3NEk2s6AheMKn/PKo/I98QW7fzCXzc+FpP4e//JIPaU8w9FTSuV7IiJu4dUpJL766iun63PmzCE2NpYNGzbQp08fUlNTmTVrFvPmzeOCCy4A4O2336Zdu3asXbuWc845h6+//prffvuNb775hkaNGtGlSxeefPJJJkyYwOOPP05wcDCvvfYaiYmJvPjiiwC0a9eOH374gZdffpmBAwcC8NJLL3HbbbcxevRoAF577TUWL17M7Nmzefjhhys0FhG3SNtnLqM8HJQKqwsBgWDLM3u+RDX27P2LFJeyx1wqU8r9wurCqWT3BqVKbRKdb5bzne7DvaN8T5lS4kX2oFSL87xy9/agVHCgyvfcqWFEMKBMKRERd/GpeU1TU803l/Xq1QNgw4YN5ObmctFFFzn2adu2Lc2aNWPNmjWcc845rFmzhk6dOtGoUSPHPgMHDuSuu+7i119/5ayzzmLNmjVOx7DvM27cOABycnLYsGEDEydOdGwPCAjgoosuYs2aNRUeS3HZ2dlkZxe+gKWlpQGQm5tLbq4yT8RkPxfKOiesKfsIAPIi4jA8fN4E1mmI5eRBclP2Q1glpmsXKXC687syrCl7Cv4X4j3+v1DbWEOjzcf61DH3PdZRzQm0BGApEpgyLFbyoprB6e4zsA5BgJGVSl5ONli8kyniyvNb/IxhI3D3D1iAvKa9vPKclJtX8L9js7nlHNT5baobZn5cOnIyu9Y/FjWJzm+pyXzl/K7o/ftMUMpmszFu3Dh69+5Nx44dAUhOTiY4OJiYmBinfRs1akRycrJjn6IBKft2+7by9klLSyMzM5MTJ06Qn59f6j7btm2r8FiKe/bZZ5k8eXKJ9V9//TXh4Zo5SpwtW7as1PUXHNhGJLDu930c2b/Eo2PqmxdCDLDhuyUcij7g0fuWmqWs87syLjmykxDg+y1/k7bTs/8LtU2PtGziga3rv+fvXe57q9CiyU103mf2kbIRwOaEUez5YROwqdzbBdhyGAJYMPh64cfkBdZx2xgrwhXnt/iXqIw99M9KIS8glCWbDmBs9nz/xVMZVsDC/9b8yD43/gvU9vP7rzSAQP4+dIIlS/TaU9PU9vNbajZvn98ZGRkV2s9nglJjxoxh69at/PDDD94eistMnDiR8ePHO66npaWRkJDAgAEDiIqK8uLIxJfk5uaybNkyLr74YoKCgpw3GgaBv94FQPeLr4L6Z3h0bNa0ubBzN2e3a4bRZZBH71tqhnLP78rISSfoZ3MmuPMG31DYU0jcwrrwS/jlZzq1akqHc934v3+8Dcyci2ENJf+u/9ExugkdK3hT49exWPKyGNCnp9f6jLns/Ba/E7DuddgOAYnncengIV4Zw6RN30JuLv379qFVbITLj6/z2/T3sQym/voDmUYggwYN9PZwxEV0fktN5ivnt71S7HR8Iig1duxYFi1axKpVq2jatLBvTlxcHDk5OaSkpDhlKB06dIi4uDjHPsVnybPPiFd0n+Kz5B06dIioqCjCwsKwWq1YrdZS9yl6jNONpbiQkBBCQkJKrA8KCtKTn5RQ6nmRmQI5ZuP/oHotwNPnTZR5bgdmHvX8fUuNUu3nvZSC5+fgSIIiG4BFPVTcKtwso7fmpGF15/9+uvl3tcQkENSgReVuGxoDp5IJyjvl9ecnva7XQnvN9g4BiecT4KW/vb2nVHhosFvPv9p+fsfXNdPQMnLyybFZqBPiEx+fxEVq+/ktNZu3z++K3rdXp+swDIOxY8fy6aefsmLFChITE522d+vWjaCgIJYvX+5Yt337dvbs2UOvXr0A6NWrF1u2bHGaJW/ZsmVERUXRvn17xz5Fj2Hfx36M4OBgunXr5rSPzWZj+fLljn0qMhYRl0srmIUqrB4Ee6Hk0z4D36nD5e8n4m4pRWbeU0DK/Twx+x5AWkFZcFVmLbM3O9cMfLVH6n7YtapiMzS6k81WpMn5+V4bRq7NACBQs++5VZ2QQMKCrICanYuIuINXQ/1jxoxh3rx5fP7550RGRjp6M0VHRxMWFkZ0dDS33HIL48ePp169ekRFRXHPPffQq1cvR2PxAQMG0L59e26++WZeeOEFkpOTeeSRRxgzZowjS+nOO+9k2rRpPPTQQ/zjH/9gxYoVLFiwgMWLFzvGMn78eEaOHMnZZ59Njx49mDJlCunp6Y7Z+CoyFhGXSy2Yec/D00w7OIJSnu+VIeIktWDmvRjNvOcR9vJItwelqjG7qH2MmoGvdtg4FxbeZ87YaAmAIVOh6wjvjOXQVshKgeAIiO/slSEYhuHIlAqyKlDvbg0ig9l7PJOjp7JpXt+7PexERGoarwalZs6cCUC/fv2c1r/99tuMGjUKgJdffpmAgACGDh1KdnY2AwcOZMaMGY59rVYrixYt4q677qJXr17UqVOHkSNH8sQTTzj2SUxMZPHixdx///1MnTqVpk2b8tZbbzFwYGFd+LBhwzhy5AiPPfYYycnJdOnSha+++sqp+fnpxiLicslbzWVYfe/cf0SsuVSmlHibPVMqWkEpj3BkSqW4937sGS9RjSt/29AYc5mV4qrRiK9K3V8YkAJzuXAcJF3onS9t7FlSzXqB1TtvpfNtBoaZKEWwMqXcrmFECHuPZ3LkZI63hyIiUuN4NShl2F9NyxEaGsr06dOZPn16mfs0b978tLNh9OvXj59//rncfcaOHcvYsWOrNRYRl9k4F1Y8aV7etdK87ulvhZUpJb4i1V6+p6CURzgypVLcez8q35OKOL6zMCBlZ+TD8b+8G5RqcZ7n77tAbn7he+ggBaXcrkGEWX1xROV7IiIup1cxEV9k/1YY+5tOw/xW2NN9NNRTSnyFMqU8y2M9peyZUlUILKh8r/aolwQUK1GzBEC9lp4fi80Gf/9oXvZqP6nCIF2gyvfcrkGkGZQ6elJBKRERV1NQSsQXlfetsCfZy/dyTkH2Kc/et0hRqUUanYv7eao0rjpBKZXv1R7RTSCxj/O6ekmFX5x4kqOfVKTX+kkB5OYVvkcICtDbeXdrqEwpERG30auYiC+ql2R+C1yUxer5b4WDIyCoYNa/dGVLiZfk5cDJg+ZlZUp5hj1TKueU+fi7Q05GYSaWu8r3fGW2NnGdDlebr0vH/oQVT5x+f1ezl+41914/KSgs3wsMsBAQoEwpd1OmlIiI+ygoJeKLopvARZMLr1usMGSK53tnWCxqdi7el7bfzBy0hkCdht4eTe0QGo2jXMpdmUj2LKngCAiJqvztT1e+t3EuTOkI7wwxlxvnVmmY4iMO/24ue42FK82JcvhxKvz2uWfH4QP9pIAiM+/prbwn2DOljipTSkTE5fRKJuKrGrU3l1EJMG6L96a+VrNz8TZ76V50U1CZimcEWCG0IFDkrkbiRUv3LFXI9CivfK+s2dqUMeWfMo4XZus2bAMdroRz7zGvf3Y3HPnDM+Nw6iflG0Ep9ZPyjIaRwYDK90RE3EHv7kV8lf1b4abdvDO7kJ0ypcTbUjTznle4u9m5PUAU1bhqt7eX75WWKeUrffnENeyvhzHNICTCvHzh42aj8ZxTMP8myD7p/nEc2lLYTyrOe/2koLB8L1iZUh5hn33v6Ek3lTOLiNRieiUT8VX2N+Gx7b07Ds3AJ96Wqpn3vMLdQam0A+ayqkF3e/leaZlcpc3WBoXnkviXw7+Zy4btCtdZA+Ga2RAZD0e3w+djIXWfe3uI+Ug/KVD5nqfZg1KZufmkZ+d5eTQiIjWLXslEfJX9TXhsu/L3c7c69kwple+JlzgypZp7dxy1jbtnt0vbZy6rMvMeFMmUSgHDcN4WGQ916hdZURCgWvxPOLCpavcn3nNkm7ks/noYEQvXzYWAIPjtM3jZzT3EfKSfFBQJSgWqfM8T6oQEEh5sBeCImp2LiLiUglIivshmg8P2N+HezpRS+Z54Weoec6nyPc/yWPleVYNSMeYyPwfyspy3/fk1pB+FkEi48SO4bzO07Ae56TBvWGGgU/yDI3O4lC9pEnpA3wkFVwqCk+7oIWbL95l+UlBYvhekPnse00DNzkVE3EKvZCK+KGU35GWas43VS/TuWNToXLwtReV7XuHr5XshkWApeBtTvITvfwWzs3UbBWdcDHWbmxk1se3hVDLMu67sWfvEtxhGYVCqYdvS90noUcrtXNxD7NBW85wJifJ6PylQ+Z43NIxUUEpExB30SibiixxvwNuYs2B5k3pKiTfZbIWztClTyrPK69nkCtUt37NYnEv47A79Bn99ZwasetxeuD40GoYvMJ/TDv8GC0ZAfm7V7ls8J/0IZB4HLOZrYmnqtyoMUNpZrFCvpevGYS/da+b9flIAOSrf87gGEeYMfP/76zgHUzO9PBoRkZpDQSkRX1ReqYKnRRTpKVW8b4uIu506ZJZnWawQWcVZ2qRq3JkplX2qMFOpqkEpKNL3qkjW0/9eM5dtLzNnaysqJsEMTAXVMQNXn9wGf610X2NsqT57f8V6iRAUVvo+0U1gyNTC65YAGDLFtTPX+lA/KYA8e/meMqU8JiXDDGK/vXo3vZ9bwfz1e7w8IhGRmkGvZCK+yBeDUrZc95XxiJTFPltaVGOfyE6oVdwZlLKX7gVHQmhU1Y9TPJsr4zj8Mt+8fM5dpd+mcRdz1jYs8OunMPdy9zXGluqraH/FriPgrJHm5fZXmNddxcf6SUGR8j31lPKIg6mZrNt13HHdZsDDH2/hk437SM3MdeyzeudRZVGJiFSS3uGL+CJHUMrLTc4BAkPMbISsFLOEL7yet0cktUlKwTfR6iflee6cfc9eklndTJbi5Xsb3jabnsedaZZZlSWuk/N1e2PspAtdm10j1XfkNP2kiup4Ffz8Dvy92szstbiotC15S5F+Ume65pjVpNn3PGvX0XSK54obwPgFm7FYIDYyhENpZq8piwUmD+nAiHNbOO1/MDWTXUfTSWxQh/joMrL+RERqIQWlRHxNfi4c/cO87AuZUmD2YMlKMUupYivwwUDEVVI0857XuDVTqpoz79kVLd/Lz4V1b5nXz7m7/IDE8Z1Q/COmkQ971kKnodUbk7hWZTKHm59rlmaeOgQHN5tZcRWVut88L+ollQxMbltsLuPP8pmMzZw8NTr3pMQGdQiwmBlSdhagSUwo+1KyHAEpMOOhj33xK9O/3UHruEiSGkaQkpHD55sPYBgQYIFnr+7EsO7O5cUKWolIbeUbr6wiUujYTrNULjjCd7JDImLh6HY1OxfPS9XMe17jzqCUvYdTVDX7hBUt3/v9Czh5AOrEQsery79dvSSz75Bhc16/aJzZt6jtoOqNS1zDMIqU71UgKBUYAi37wfbF8OeyigelNrxj/u0NmxnM7HUPtLoQbHnmcex9ynavMss8XVkaWEV5NvWU8qT46DCevboT//pkK/mGgdVi4ZmrOzKsezO+3HKQu97fWOI2h05mc+hkNt//edRpvc2ACR9vYfq3O4iLDqNhRAgnMnJYs/MYBmUHrUREaioFpUR8jb2pa2w715UeVJdjBr5D3h2H1D4pBUEpZUp5XtGAjytLoaBI+V7T6h2naPne2pnm5bP/YQYnymNvjL1wnJkhZQmAqKaQugf+7wboNRYunGTO/FZW9oy4X9oByE41Jzqo36pitznj4oKg1NfQ98HT75+6HxbehyNzzjBg9SvmTwmGz5R5Osr3rD7yPqEWGNa9GX1aN2T30QxaNAh3ZDN1aRZTIosqwAIzb+zKiYxcVv1xhCVbk0scb8/xTPYcL9l/ymbAvz7ZSp/WDZUxJSK1goJSIr7Gl5qc2ykoJd5iz5QqPouauJ89U8rIh+yT1WtIXlyaizKl7OV7O781ew9Zg82gVEV0HWEGF47/BfVaQp2G8M0kWDsD1kyD3xea559hK5jNbapPZMjUKvZ+UvVbnT7QaHfGAHO5bz2kH4M69cvf//DvlCjlBIhpbv7dT+xyXm/km+eMl4NSKt/zjvjosBKBorKyqAZ2jAegb5uGfPVrcomg1dTru2BgYf2u47y79m+nY+YbBruPZigoJSK1goJSIr7GninV0JeCUgUz8Kl8TzzJMAozpaIVlPK4oDAIDDUbh2eecHFQqmD2vWr3lCrIlLIHLzoOhchGFb99dBPn4MIlz5qzq316B6QU+ZCoRuje4Sjdq0Qvw+gm0KgjHNoKO1fAmdeWv3/ylpLrLFYY/aV5eUpH5zJPi9UMYnpZbr7K93xJWVlUUHbQakhn87mke4u6vP+/v52CVgBN64Z68lcQEfEavZJJzZC6H3atKuxTUtntvuRIJfpneIoypcQbMk9Abrp5ubplXlI17pqBL9VF5Xv2EkO7nndW73gAbQfDZVNKrrdnyIjn2DOHK/slzRkXm8s/vy5/P1s+/PxuwZWCMjiLFYZMKQxYDplqriu+zcvy8pUp5Wvio8PolVS/1OymYd2b8cPD/fngtnP44eH+Tv2i7EEra7ES6Vk/7Hb3kEVEfIIypcT/bZxr9oOwl1hc/CS0usj8EJV5An5fDJveAwzfL8HIzSz80BPb3rtjKUqZUuIN9pn36sRCkL4x9oqwunAq2bXNzrNPmn2CoPrle/t+cr6e/EvlZlwrS7NeJRuh+0iGTK1ypIrl7GcMgB9ehh3fmIGnAGvp+21bbPYMC42BW5aZX7zUa+kcdCpe5ukDASlQTyl/VFrpn13RTKvdR08x8dOtzFm9m1axEdx0TnMPj1RExLMUlBL/Zm9Qav/gYNjg63+bP6Xx9RKMo3+YYwyrVxgI8gX2saQrKCUelKom517njhn47KV7IdEQEln146TuL5wVzc5Vz+/2DJkv7sXsN2TxmQyZWsNmgyPbzcuVDUo17WGeX5nHYf8GSOhRch/DgB+nmpe73woNW5s/pSle5ukDclS+V+PYg1a9kupzPCOX/yzdzqQvfiWxQR16t2rg7eGJiLiNXsnEvx3fWXJKb4DgCKibCPXPKLnNl0swHE3O2/vOzHtQWL6XfhTy87w7Fqk97JlS0QpKeU3RGfhcJXWfuaxullRpz/+ufH7vOsIMTAFExsNZN7vmuFIxqXsh5xQEBFU+Q80aCK0uMC+XVcK3Zw3s/wmsIdDzjuqN1QtyVb5Xo93dL4mrzmpCvs3grvc28NeRU94ekoiI2+iVTPxbvSQcfSDsLFYYsw7u2wQjPjdLMJy2B/huCYa9ybkv9ZMCCK9f8DgakHHU26OR2iJFmVJe585MqepmntRLKuX53cUldp2uhaBwOHkADm523XHl9Oz9FRu0BmtQ5W9/xkBzWVZQyp4l1WW4b2UmV5C9p1SwyvdqJIvFwrNXd6Jb87qkZeVxyzs/sT05jdU7j3IwNdPbwxMRcSkFpcS/RTdxTssv3oS0eJNSMLOoqlMy4k6Hq9g/w90CrOZ06aBm5+I5qZp5z+vcEpQqaHJe3Zn3PNGEOjjc7FEI8PtC1x1XTs/xJU0lZt4ryv53O7gZTiYXO/bv8MdXgAXOvafKQ/Qme/leoDKlaqzQICuv39yNJjFh7DqazsAp3zP8zf/R+7kVzF+/x9vDExFxGb2SiX+z2eDEbvPygKdg3JaSTcy7jjDX3/SJWQaUnQYrn/f4UCvEV4NSoGbn4nn28j1lSnmPO2bfc5TvuSB4ZH9+H7mo9Od/V2h3ublUUMqzDldzJtqIhtC4q3l5xzfO21a/ai7bDYH6SVU7vpepfK92aBARwnNDOzmtsxnwr0+2KmNKRGoMvZKJf0v+xczcCaoDPW4v+xvy6CbQ6sLCab7XzoRDv3psmBWSfbIwM6RhFb8Zdid7XyllSomnODKlFJTyGkdPKR8s37OLbgKJ57uvEXXrAWZfo6PbCxtvi/vZZ95rWI0vac4YYC6LlvCl7odfFpiXe99X9WN7mWbfqz2sASX/xvmGwe6jGV4YjYiI6ykoJf5txzJz2bIfBIacfv8zLoK2l5nNcBf/05x9x0dYjhZ82ImMh/B63h1MaRSUEk/KPlUYCFGmlPc4yvdSXHdMR/leNRude0potPkaA8qW8hRbftVn3ivKHpTa+S3k55qX/zcTbLnQ/Dxoenb1xulFeZp9r9ZIbFCH4nEpq8VCiwbh3hmQiIiL6ZVM/NufBUGpMy6u+G0ueQ4Cw2DPavhlvnvGVRW+XLoHKt8Tz7JnSQXVMQNU4h3umH3PnikV1dR1x3S3dkPMpYJSnnFiN+RlQWAo1G1R9eM0PgvCG5hl+3vWmufxT3PMbb3vrf44vShH5Xu1Rnx0GE9fVVjCF2CBZ67uSHx0mBdHJSLiOnolE/+VcRz2rTcvVyYoFZMAfR80L3/9iGs/bFWDxT7TUGx77w6kLMqUEk/aMMdc5qbDlI6wca5Xh1NrubrReVaaGSAA/8mUAmgzyJzp7+Cmwl5n4j5FZ94LsJa/b3kCAgrfH/z5NWx4G3JOmiWBrSrxvsEHqXyvdrmhRzO6tzCfjx8c2JZh3TUBiIjUHBUOSlmt1gr9iHjMzhVg2MwgTnQlv3HvdQ/UPwPSj8C3z7hnfJVkOaJMKRHA7Pnyv9cLrxs2WDjOXC+e5eqglD1LKjQaQiJcc0xPiGgIzc41L/++yLtjqQ0cM++54Esae1Bq+5ew9jXzcu97zYCVH7MHpYID/fv3kIrrkWi2dth1VNnDIlKzBFZ0R8MwaN68OSNHjuSss85y55hEKsZeumef9rkyAoNh0H/g3Sth/Ztw1k0Qf6ZLh1dZhZlSvhqUUqaUeMjxnUCxfm9GPhz/y33NrKV09tn3ctMhL8d87qyONPvMe35UumfXbgj8/YNZwtfrbm+PpmZzzLzngkk/ki4ws9yO/Wler9MIOl5T/eN6WW5BT6lAPw+uScV1STC/JNi8N9XLIxERca0KB6XWrVvHrFmzmDp1KomJifzjH//gxhtvpG7duu4cn0jpbLbCKZ7tjUwrK6k/dLgKfv0UPr8HLn4CGrQq+aE3db/5Iblekts+EAfnpmFJL8hA8sWZ96BIUEqZUuJm9ZIAC06BKYsV6rX01ohqr9BoHH+LrJTCjMmqSvWzJudFtbsMvpoAe9bAyUMQ2cjbI6q5Drtg5j27sLpmX6rjf5nX0w/DL/8HXUdU/9hepPK92qdz02gA/jh8klPZeUSEVPhjnIiIT6vw1ytnn302M2fO5ODBg4wfP55PP/2Upk2bcv3117Ns2TJ3jlGkpIM/Q8ZRCI6EZudU/TgDngZrMCRvgncvh5c7wPInIf2oOTPfxrlmP5t3hri1r01kVsEHtZjmEFzHLfdRbfYPo9lpkKNpiMWNoptAo46F1y1WGDJFWVLeEGAtCEzhmhI+e/meP/4to5tC466AAdsXe3s0NVd+XmFWkysyh1P3w/FdRVYYNaIc2BGUUvlerREbFUrj6FAMA7buV7aUiNQclX4lCw0N5aabbmL58uVs3bqVw4cPc8kll3D8+HF3jE+kdH8WZEkl9QNrUPWOZZ8mGgADvv8v/CcJno6DL+4x+9lAQV+b+0q+kU3dD7tWVesNbpQ9KOWrTc4BQqLAGmJeTle2lLhZUKi57P8vGLfF77Ma/JorZ+BzlO/5YVAKNAufJxz/C/JzzJk3oxNccLxyyoH9WG6e+TsFa/a9WqVzQgwAm/emeHUcIiKuVKVXsn379vHUU09x8cUXs23bNh588EGioqJcPTaRsv35tbmsaumeXWlvVu3yskquM2wwZzB89S/4Yymse8MlmVSRWQUf1Hy1nxSAxaISPvGc9CPmMrGvf2bV1CSubHZuz5Ty26DU5eZy1yrXNX8XZ/Ym5w3buKYZeb0ks6dUUTWgHDjXZn5hFhig8r3axBGU2pfi1XGIiLhShV/tc3JymD9/PgMGDOCMM85g48aNTJkyhb179/Lcc88RGKi6ZvGQ9GOwf4N5uSpNzosq683qvZtg9JeYvVSKObEL1k6HedfBkgeLZVKNq1LGVFSmPSjlw5lSoBn4xHNOFQSl6jT07jjEtUEp+/OjvwYaG7Qyn6dteeYXE+J6jkk/XPR6GN0Ehkw1X9uhxpQDq3yvdurcNAZQs3MRqVkqHEmKj48nMjKSkSNHMmPGDGJjzQ+n6enpTvspY0rcbudywIBGnarfLNf+ZnXhODOd3/5mtV6i+XP5K87bBjwJkXHw10r446uSM9EZ+XBsR+Xe7BqGf2RKgWbgK48HGuLXGjnp5mxvoKCUL7DPwJeVUr3jGAak2Rud+/H/SLshZjbP7wuh/VBvj6bmsTc5d8XMe3ZdR0DShWbJXr2WNeI5WuV7tVOnptFYLLA/JZPDJ7OIjQz19pBERKqtwkGpEydOcOLECZ588kmeeuqpEtsNw8BisZCfn+/SAYqU4Cjdu9g1xyvvzWpZ2zoONYMQUzoWZkrZffkQDPoPJPap2P2fTCY4PwPDYsXS4AzX/E7uokyp0m2ca/YbM2xm5t2QqeqBVB3pR82lNQRCIr07FnFdplR2GuScMi/74+x7du2GwMrnzRlgc9JPv79UjiMo5eIvaaKb1IhglF3h7HsKStUmESGBnBEbwR+HTvHL3lQuaq+glIj4vwoHpb799lt3jkOkYmz5sGO5edlVQSko/81qWduKZ1lhgcBQs/TgnSHQZrCZWRUYWm4GjeVIwRvw+kkQGOKyX8ktlClVUur+woAUmMsv7jUbw7e/wuzFJZVjD0rVaajHzxe4KihlL90LjfHdWUYrolFHqNsCTuzG8tcKwOrtEdUcedkFvR6Bhj6eOexl9qBUoFXPkbVN56Yx/HHoFJv3pXBR+0beHo6ISLVVOCjVt29fd45DpGL2b4TM4xASDU17eHs0JTOpAkPhu2fhp9nmlOF/fFUQrDDKzKCxB6WMBm1L62DlW5QpVdLxnSWz5TDgw5HmB9fOw6HLDWb5p8r7KsY+u2OESvd8gqtm37M3OY9uWr3jeJvFYmZLrX6VgG2LIPgKb4+o5ji2w+zXFRLl39l0HpCbr/K92qpzQgwfbtjHJs3AJyI1RIWDUr/88kup66Ojo2nWrBkWfZstnrBjmblM6g9WH2muXzyTavB/ofutsOQB2P1D4Xp7I/SkC532txQ0dTUaurB/hrsoU6qkQ7+WstICQeFwYjd894z549ik8r7TSleTc5/iqkyptILeef7cT8qu3eWw+lUsf35Fw4SWkNYF6jf39qj8X9HSPb2vLJfK92qvLvYZ+PamONqniIj4swq/knXp0oWzzjqLLl26OP20bNmSiIgI/v3vf6uflLifo5/UAO+O43Ri20LfCSXXG/lwYJPzOntQytebnEORoJQypQDzb/nN4wVXCt4UWqxmg/wHd8BVb0DCOc63sZf3FT8PpJCCUr7F1eV7NSEDpsnZEBKFJSedc3f+h8BpXczeclI99pn3/OFLGi8yDIM8m5kpFaTyvVqnTVwkwYEBpGXlsftYhreHIyJSbRVONdm1a1ep61NSUtiwYQOPPvoodevW5Z///KfLBifi5NRhOPCzebnVRd4dS0XUSzKzYoqXdn0+BvKzocNVYBhYjm4H/CVTyl6+d8icSas2fzuXfgzm3wR5WWaQdPBLZmZU0Yb4nYdBVLzZY8yJAW/2N8+BHndAQg+ztEnlfaaiPaXE+1w1+56jfK8GnN8nD0L2ScdVSxmZsFJJ+zeay5oQuHQje+keQKAypWqdIGsAHRtHsXFPCpv2niCxgR/36BMRoRJBqebNS09Lb968OZ07dyYqKorJkycrKCXuY29wHt8ZIv2gsWPxRuiWAKjTCE4dhI9Gw9aP4dx7seRmkI/VnGnM19mDUvnZkJVa2GumJkndf/rgUH4efDQKUveaQair3zQfi5iEkvuWFZw0bOY5sPVjs8dO6n7K6z1Wq9gz8RSU8g0q3yvp+E7AcF5n5Jv9BRWUqpqNc2Fnwev8yufMwFRtfh4sh710D9RTqrbqnBDDxj0pbN6bylVn+XmfPhGp9Vz2StatW7cys6lEXOK3z8xls15eHUaldB0B47bAyEUwbiuM22yW9QUEwrZFMHsgAFbyCZxxtu+XfwSFmU3moWaW8G2cC1M6mplNUzqW/ff4ZhLsWgXBEXD9vPKDc/bgpKVghi6LFS5/Fe5YBWfdZAYjU/fh+IBrz7iwlzrVRirf8y2OoFSKmSFZVfZMqZoQlLIHm4uyWM0gtVSefRZTO8PQ82A5igalVL5XO9n7SqnZuYjUBC4LSiUnJ9OwoT5AiJv8NMecyQ5g3Ru+H7wpKroJJJ5vLgNDoP+/4PbvzEauRb5pt/hLMKJoCV9Nkrrf7PVkz2gq6++x5SNYM828fOXMgr/jaTgFJ7eY1+M7wxXT4Zq3S+5vz7iorRzlew28Ow4x2YOuRr5TyVqlGEbh/5K/z74H5vP5wGcdVw2LFYZMUZZUVZU2i2ltfx4sh718z2IBa4CCUrWRPSj124E0cvKKzwAsIuJfXBKUOnLkCI8++ij9+/d3xeFEnKXuh8XjCq/7S/CmPHGdnD7QOPjDm/CaOgPfmumUWo6z+AHYuQLyc80S0k/vMred/wC0v7zixy8anCyqcZdSMi4CanfGRXpBFp49ACreFRQGgaHm5aqW8GWlQm66eTky3jXj8rZz7sQo6LeVd/0HKjWrjnpJOCaLsFPmWZkcM+8FBGjmtVqqWb1wYsKDyMm3sS05zdvDERGplgr3lDrrrLNKfeFLTU1l3759tGnThvfee8+lgxMB4NBvJUtGakLvjgatS/Ya8oc34REFGZE1pXzPlg/LHoO100vf/seX5k9gGORlFq6Paeaa+y/eewzM8yDzuH+f31Vly4eMY+Zlle/5jpAos6n/ke1Qt/Qek+VKK/gSIaweBIe7dmxeZNRrieXARiw56d4ein+LbmKeVyd2m9eVeVYuR1BKpXu1lsVioXPTGFb+cYTNe1M4s2mMt4ckIlJlFQ5KXXnllaWuj4qKok2bNgwcOBCr1eqqcYmYDAN+eqvken8I3pxOQTDCWDgOi5GPYbFi8Yc34TUpUyonHT6+DbYvNq+3GWyWiRr55jnW8w7IzYDfvjCDREUtGg+tLnbN36vrCHPWrmM7YdULsPt7mH+zWeZZE5vJlyfzRGGgNry+d8cipo1zC7PXPrgOhrxS+awge2ZrTegnVVTdRDiwEcsJ9dSsluxTkLLXvDx0NjQ7x/dfC73IEZQKVJPz2qxzghmU2rQ3lZv9qN2qiEhxFQ5KTZo06bT75OfnKzAlrvX9i2aQwF7eZNhq1jeoXUeQ17wv//vyA3peegNB9auQgeBpjp5Sfp4plXYQPhgGBzebzcavnAGdrimYfe8vM+hpP8faXwXvXuF8e1dn60U3MX/iOsIbfeHELvj0TrORekAt+uBhb3IeVhesQd4di5TdgDrpwsqd+/ZMqZrwvF2EUbcFAJbjCkpVy97/mc+pMc2g01Bvj8bn2XtKBWnmvVqtS4I58czmfSneHYiISDW55NXsjz/+4KGHHqJp0xrQvFR8x7bFsOJJ8/Lgl8zZ64o2iq4pohpzLLKdOf21P/D3TKnU/Wbj/Nf7mgGp8PowcqEZkILSez81OMNzM22F14Pr3jUDZX98CT+86Pr78GX2YGcd9ZPyCWU1oN44t3Iz8aXVzEwpo27Bc4Aypapn9w/msvl53h2HnyjsKaXyvdrMXrK388gp0rJyvTsYEZFqqHJQKiMjg7fffpvzzz+f9u3bs2rVKsaPH+/KsUltduhX+OR283L32+Ds0WU3ihbPsgel0v0wU2rjXHi5Ayy6D9IPmb/LrcuhWc/yb2fv+2QpyAR1d7Ze4y4wuCAYteJps8F6bWHPlFI/Kd9QL6lkQBZg5XPwRj/Y8U3hzHq7VpU9AUXaAXPpL8H3iqqXCIDF3gtJqsYelGqhoFRFqHxPABpEhNC0bhiGAVv3pXp7OCIiVVbh8j27tWvX8tZbb/Hhhx/SrFkzfv/9d7799lvOP/98d4xPaqP0Y/DBDZBzChL7wCWlzFIn3uOv5Xvbv4Iv7nFel34UrMEVu72971Px0j536Xoz7FtnBtI++ocZpGrWq+YHZdOPmss6Dbw7DjEVb8RvscIZA8y+Zwc3wXtDoV4rOPFXQXl1gLl/8WzW1H0Fx6tZGdVGTAvzQtp+yMuGwBCvjscv5aTDgY3mZQWlKiQnT+V7YuqcEMO+E5ls2pfCua30uiki/qnCr2YvvvgiHTp04JprrqFu3bqsWrWKLVu2YLFYqF9fzWjFRfJz4cORkPI31G0B176jvjK+xpEpdcScKa0qTpdV4SqGATu/hXeGmP2jSmwv6AtVUZ7O1rv0PxCdAFkp8PEtMKWjGaSqyeyZUhEq3/MZXUeYZdP28unh/wf3bYZzxkBAMBzfUVjiZ9jMAFbx/21H+V4Ny5Sq05C8gFAsGHDib2+Pxj/t/R/Y8sznuqrM7FgL5dnss+8pKFXbdSko4du8N8Wr4xARqY4KZ0pNmDCBCRMm8MQTT6iZubhH6n5Y/ID5DXxwJNzwf2Z/HfEt4Q0Ai/nhM+NY5YMHG+eajZPLy6ooT+p+s89NvaTSg0Op++HoDrPHy8Y5cOBnc73FagahivL1WRwzjhV+mIfCD/yVbTLtT+xloSrf8y32Rvx2dRrAJc9A025mJl9RRj5sW2TOXglmcNhRvlfDzluLhfSQWKIz95gB7oatvT2i6jvdc6yr7f7RXCpLqsIc5XtW9ZSq7TonxACwea/7yvcOpmay62g6iQ3qEB8d5rb7EZHaq8JBqSeffJK3336bd999lxtuuIGbb76Zjh07unNsUptsnAtf3AsUNM7tcgPEtvPqkKQM1kBzZrTM45C8BVpdWHKf0j7UnDwEmz+Ab4rM5GnYzL+7NQTaDoaQiLJvD7D2NVg6sSArw2IGsxJ6gi3XzLL7ezX8+imO8wggMMzc79yx8Nd3zmVIvj6LY1lNpo/+6dvjrg6V7/mXhHPM4HLx8/TLh8zAVN8JENsecjO8Mz4PSA9pZAalakKz8+p+aVAVjibnvd17PzWIyvfErmOTKAIskJyWxeJfDtC1ed0SgaPTBZXK2p6Vm8+cH3fx/NLtGAYEWODZqzsxrHszt/9eIlK7VDgoNXHiRCZOnMjKlSuZPXs2PXv2pFWrVhiGwYkTJ9w5RqkpigYaohrD0T9gzxrYsQJ+/9x53/WzoPe4mvvB259tnGsGpMDsJ3P5K84fWop/qGk7GE4mw76fcAoWORjw6e1mkKhxFwiNgZ0rCva1mOsAju2E7DTn2218x/wpkwVuXQZxncyrnu4LVV32JtPFP/Cvf8MsIwyogVmranTuX0r0nAowA8X71pslurtWQWR84f7TzvZMoMOD0oMLskUrUwrsi1L3Fz53g2cyM3MyYP8G87IypSpMmVJiFx4cSGxkCMlp2YyZ93OJwNH89XuY+MkWbAVBpaev6sSF7WI5cjKbIyezWfzLQT7asM/x7iyxQR0sFjhyMpuTWXlO92Uz4OFPttA+PopOBWWDVQ14iYgUVelG53379qVv375MmzaNefPmMXv2bPr27UuPHj245pprNAOflK5ooAIgqA7kppe9v73Xj68HDWob+4cWB8NsHv71IxASBQFBZsNjx2Yb/L6w8HqjjubMik7BKQtExZvlPfYPJ0WPby+/K0vjrhAZB5kpsGd1ydtnpjivKl6G5MtK+8APsG0xLLwXhrwKATXsm3JHUEo9pfxGacHelD3wwxTzuf/kwcJ9a2AJanpIDQlKlZWZ6c7X4n3rzEzXqCZmH0mpEPWUEruDqZkkp2U7rtsMmPDxFt5buwebYfDrgTSnbRM/2VLu8XYdLee9OWY19pBpP9K9RV3iokJZvOWgI+BVPIuqeEBMWVYiUpZKB6XsIiMjueOOO7jjjjvYsmULs2bN4rnnnlNQSkoq/u0rmAEpaygkdIdGHeB/r+MUqPD1Xj+1VWkfWgCyUs2fspxzN5x7j5kht3FuyRK6riPMD7HrZ8OPL5e8ff9/Q9Pu8N7VzvdvscKw98wPTKn7zUbgxbf7+3lU/AP/vvXw0Wj4+T2z7HHwi2CpQd+Wn7IHpVS+51eKB3tjmsFlL0GL8+GjUc771rAvHdJDCiZ/OO7n5XulZWZaAtz7HGov3WtxXs16HnOzXJXvSYGygkhb9pf9nswC1I8IITzYyp7jJUurHx3cjr5tYrEZBpdMWYWtlCT39budq2TswbAP1u0lNCiAnDwbG/ekOG2f+MkW+rRuqIwpESnBJa9mnTp1YsqUKezf7+aZtMQ/7V1XeiDjhv+DUYvg0ufNEjBLQSmSP/T6qa3sH1qKsgTAyIVw2wq45m3MtztFt1uh19jCWbeKz+RlL+OJaQY9bivl+FbociMk9f//9u47Pqoq///4e0oKARISAiSUQEQQlI6KAVGRjrpiRSygi7oW1oJlV1dFLF9c1gIq/ty1u5ZVd11siGRBBCUgVboiLQIJEEISQkLKzP39McyQIQESmHLn5vV8PPKYZO6de8+dnOTMfOZ8Pscza+ho/cQ7q8iK/ajqqn9njJQu+7skm7T0Dembhz0fXVpB+YHDMyhJ37OGNmfX/Dcd6cHiKnwzpQq2Sa7KY+9sZgmtpKH/539fmz7B/R9KkfMTUk76Hg5JT24o+xHdwG6Tnrm8q/56RbdqsV67TVrwpwFa+sggffSHc6o91mGzaUS3VJ3avJE6tmisyZd3lePQQRw2m/56RVdlPXShxmTUvFLmyt8KtGhzvl9AysttSLe8s1T/zNqq3MKDkjwzvRZuylNOYekJXT8AazjhmVI1iYqKCuThYAUH9kpzn6x+v83hv0pRpNX6qa+qpZMdCvykn+fZ3qq3VF58/GLiR0uhO9rxvfser5/Ul37U7Wqpskz6fLy06BXJVS51/p3U9NTIvmZvkXNHjBTTOLxtQWAc72/aAkqjkmQ4YmRzlUlF2yM7DS3tHM+t3Sm5Kz0zM/dtkxJrfgN6UipKpR1LPd9T5LxODteUYqZUfZea0ECTL++qhz9dI5dhyGGz6f8u71IlTc6otq11YtwxH1t1JtOos9J0Xsdm2ppXonbJcb5tt1/QXu8t2uY3i8puk564tIsSGkQpv6Rcj3+2tlol0TU7i7Tms7V69LO1ap3YQDv2lcoQ6X1AfRfQoBTg52CR9P4VnpSv2CaeItWGu+6BCphLsANDx3v88fpJfelHvW6QXGXSV/dJS173fIVqtaxg8QalGjUnlcdKrB4sttk9QZu8XzzXGMlBqX1bPbetektRDTwrln7/vOf/SqBtX+IJqDduaamZc6FQ6fK81Y8mKAUdPXB0vG212S55gldH3n/8YJgU67T7bb93SEdF2W36Zm2ulmcXaPu+w7Oj3Ib08KdrSO8D6imCUgiOilLpw9GeItVxTaWbZknRDa37pqS+CXZgqL4Elk5Wx+HSV/fLV48t0otIH9jtuaWelPVY/G/aaNJOtrxfPHWl2oe7NSdh3zbPbWI7qfdNnqDUivel/vdLTdoE9ly+elL9CELXkTd9z0n6Hg6pKXBUm2212X40Jxrw+sP57TVz1U7d8YH/QjYuw9DWvBKCUkA9RFAKgeeqkD4eK2373rMi2/WfHk7Vs/CbEiDk8jdJR06ON1zSng2R+bfmW3mPelKILEZSuuebSF+BzztTKrGd1DbDU6h+6wLPbKmLa1iE4mRULXKOOiF9D2ZxogGvnm0TZbepWhH1/QfLA91EABHgpEaziy66SDk5OcffEfVD4Q5p0zzp4xukjd9IzgbStR9JLXuEu2WANdVUeF6S5jwpleSHvj0nyxeUah7edgB11cQblIrwFfi8Qakmh2pIXfBnz+3yf0qF2wN3noqD0vZD9aTa9Q/ccesJglKIdN70P8cRsyQnfLxKy7btO8qjAFjVSY1m8+fPV2kpqyVA0vJ3paldpH9eKv38tadu1Kj3pLZ9w90ywLqqrTho9wSDc1ZIbww5/AYzUhR7g1Kk7yGy+GZK7YvwoFRBlfQ9yTOLqe25krtC+n5q7Y5RuEPaMt9zezTbl3hq4jVKoZ7UCfDVlHISlELkGnVWmr7/8wB9eMs5+va+C5RxSlMVl1Vq7Js/EpgC6hlGM5y8wh3SF3d76tn4GFLzzmFrElBv9Boj3bNaGvuldM8a6dZ5UkIbae9G6fVB0o7l4W5h7ZG+hwhlJFaZKWUcud5UhHC7pIJsz/dVV9u74E+e2+XvSEU7j32MH1+TXjhDeucSzwdVy9+teb9tP3hu251LPakT4KspZee5Q2RLTWigjPZNld6sod648Uydc0qSLzC1PHufcgpLtXBTnnIKmQQBWNlJBaXatm2rqKioE378/Pnzdckll6hly5ay2WyaMWOG3/Ybb7xRNpvN72vYsGF+++Tn5+u6665TfHy8mjRponHjxqm4uNhvn1WrVql///6KjY1VmzZtNGXKlGpt+eSTT9SpUyfFxsaqa9eumjlzpt92wzD02GOPKTU1VQ0aNNCgQYO0cePGE752yzAMafH/OyIgJc/PkV5bA4gUCa2k9P6e2+adpHGZUkpXT5Dn7YuklR8ce+ZCbWY2hAJBKUSqhDaeGYuVpdL+3HC35sQU7ZDclZIjWmqcevj+dv2ltL6elfKONVvq51nSzBoWXqjp/0rVIueoM9L3YEVx0U69eeNZvsDU6H8sUt9n5ura1xar3zNz9dGS7HA3EUCQnNRotmbNGrVpc+KrsRw4cEDdu3fX9OnTj7rPsGHDlJOT4/v68MMP/bZfd911Wrt2rTIzM/Xll19q/vz5uvXWW33bi4qKNGTIELVt21bLli3T3/72Nz3++OP6xz/+4dtn4cKFGj16tMaNG6cVK1Zo5MiRGjlypNasWePbZ8qUKXrxxRf16quvavHixWrYsKGGDh2qgwcPnvD1R6Sqb173/OJ5w7vwper72RxMyQfCJT5Vuulrqf2FUkWJNON2z8yFF87wLELw42ueGjGr/y19dZ80tRYzG0LhQJ7nthFBKUQYR9Th1eki9QMZ78p7TdIku+Pw/Tbb4dlSy96Wio6oJep2SQuek/41uvoxDVf156PioPTbj57vqSd1QioqSd+DNXkDUz3aNFFZpds38dRtSA9/uoYZU4BFhXX1veHDh2v48OHH3CcmJkYpKSk1blu/fr1mzZqlJUuW6Mwzz5QkvfTSSxoxYoSeffZZtWzZUu+//77Ky8v15ptvKjo6WmeccYZWrlyp559/3he8mjZtmoYNG6YHHnhAkvTkk08qMzNTL7/8sl599VUZhqGpU6fqkUce0aWXXipJevfdd9WiRQvNmDFD11xzTaCeEnNb/m6VND2bp36N4ZKi4qQOQ6T1X3h+tjmkS6ZG5upfgFXENJYunipN61blTkNaN8PzVRPvzIb2A8Pz93tgt+eWmVKIRInpnjpu+ZsjcwbQkUXOq0o/X2pzjvTbIumHadLwZzz3F/wm/fcPh9PxalK82//nHcs89aQaNpeanhqQptc3FW7vTCnS92A9cdFO3T3wVN309lK/+12Goa15Jcdc7Q9AZAprUKo25s2bp+bNmysxMVEXXnihnnrqKTVt2lSSlJWVpSZNmvgCUpI0aNAg2e12LV68WJdddpmysrJ03nnnKTo62rfP0KFD9de//lX79u1TYmKisrKyNGHCBL/zDh061JdOuGXLFuXm5mrQoEG+7QkJCerTp4+ysrKOGpQqKytTWVmZ7+eioiJJUkVFhSoqKk7uiQm1op1yfnG3bL40PUMyXHK3PVeui1/0fLI6cKds+zbLSDxFim8pRdo1hom3L0Rcn4Dp2fI21fhP3t0mQ4puKBXvkn3Xav+NhkuVe36REReYFfBq3b/dLjlL9somqSK6Cf8/EBGq9m97k3ZySHLlbZI7Avuvfe9mT/sT0mpsv+3c++T88CoZS9+Uq9VZUskeOb59WrayIhnRDeUa8ozkrpTj6/tlM1wyJNkkGTNul8sRK6PDEM95Nn8nhyR3275yVVaG8hIto6zCJUmyyQjqawdenyBc2ifHyW7zzJCqatr/flaj6E7qlNL4pM9B/4aVmaV/1/b8pg5KDRs2TJdffrnS09O1adMmPfzwwxo+fLiysrLkcDiUm5ur5s393zg5nU4lJSUpN9dT0yE3N1fp6el++7Ro0cK3LTExUbm5ub77qu5T9RhVH1fTPjWZPHmyJk2aVO3+2bNnKy4urjZPgWkk71+nfkfWjZK00Hmu9i5cI2lNlXtXHvpCXWRmZoa7CbCY2PJ8DZFNNh1+VeeWXZnxo3QwOkmxsfkasuveatvnrNiqg2uLAtqW4/Xv6IoiDT/0P+br+T/KsJl6eAL8ZGZmqv3ug+oiKXfdD1paOvO4jzGbXluz1EbS+txSbZpZQ/sNQwOjm6lR+R45P/297+78uPZa3u42HdiRIEmKPf05NSzbpdKoRHXZ+S+lFi6X/eMbtKzdbdqZ2Ed9N36hZpJW72+irTWdB8f12w67JLt+Wb9OM/etDfr5eH2CcLg63aaPNttleMLbsklatGWffjd9oXonGzq3hVuVhk3NYg01iTnx89Sn/l1QJu05ePLPGSJHuPt3SUlJrfYz9av+qjOQunbtqm7duql9+/aaN2+eBg4cGMaW1c5DDz3kNwOrqKhIbdq00ZAhQxQfHx/Glp2Aoh4yXp5SZaaUZNgc6jPiWs+sKJywiooKZWZmavDgwSe1cABQE1c7yTHzPs/MBZtD7hHP6cIe19e4XZKU2l0Xjry+xmOdiFr37z0bpDWS0SBJwy/6XcDODwRT1f4dvVnSvz9UamyZRowYEe6m1Znj7RelfVKnjKE6rVMN7S/aKefKPL+7DNnU+MaPdX5iDSl/kuS6Qe4vxsu+9j86c9v/k7tdouwlnkViTh9xq05P7hjoy6gXZuQvl/Lz1LN7V43o3Tpo5+H1CcJphKQ7Cg8qO79EaUlxOljh0tQ5v2rmml1ammfT0jxPTTW7TXrq0tN1VR3/FqzYv3MKD2rb3hK1bRqn1IRYv22fLNuuSZ+tk9s48ecMkcMs/dubKXY8dQ5KTZw4Ub///e/Vtu1RXoAE0SmnnKLk5GT9+uuvGjhwoFJSUrR7t3+tgsrKSuXn5/vqUKWkpGjXrl1++3h/Pt4+Vbd770tNTfXbp0ePHkdtb0xMjGJiqoeho6KiIu+fX9O20iXTPPVmDtWNsl0yVVFNQ98PrCoi+wXM76ybpI5DpPzNsiWdIueRtaK823+ZJX11v+w5K2Tf8JnU9cqANuO4/ftgviTJ1rAZfweIOFFRUXI29wRY7Pu2yu50egqER5ICz8pWzuT2Uk1/g0XbJPnn0thkKOpAjtT8KLWhoqKkK16TYhrKtvxdOeY9dXjTzqVS6hkBanz94jI8fSs2OjSvG3h9gnBJS45SWvLhVL1Xrj9Tczfs0u+r1JtyG9Kjn63XgM4pJ1Rvyir9+6Ml2Xro09W+oNPDIzqrf4dmyj9Qrk17ivXojHW+/+An+5whcoS7f9f23HVetuOzzz5T+/btNXDgQH3wwQd+NZOCbfv27dq7d68vMJSRkaGCggItW7bMt8/cuXPldrvVp08f3z7z58/3y2fMzMzUaaedpsTERN8+c+bM8TtXZmamMjIyJEnp6elKSUnx26eoqEiLFy/27VMv9Boj3bNaGvul57bXmHC3CEBtJLSS0vsfvXh5QivprHHS+Z7FHvTVfdVX2Aq2A3s8txQ5R6RKbOe5LSuUSveFtSl1Vn7g8EIDNRU6l6Sk9p4FTqqqzUq7dod0/p/kqTBVxZf3elbyRZ1VVHpmrTsdrL6H+ic2ylHtPm8R9Poqp7DUF5CSPEGnp75ar6FT52v0a4v0yIw1R3ykwHMGc6nzaLZy5UotWbJEZ5xxhu6++26lpKTo9ttv15IlS+p88uLiYq1cuVIrV66U5CkovnLlSmVnZ6u4uFgPPPCAFi1apK1bt2rOnDm69NJLdeqpp2ro0KGSpM6dO2vYsGG65ZZb9OOPP+qHH37Q+PHjdc0116hlS09K2bXXXqvo6GiNGzdOa9eu1UcffaRp06b5pdXdfffdmjVrlp577jlt2LBBjz/+uJYuXarx48dLkmw2m+655x499dRT+vzzz7V69WqNGTNGLVu21MiRI+t83RHteG9uAUSu8x6QUrtLBwukz/8o31rMoXDgUFpQI4JSiFBRDaTGh9LZ8zeHty11tW+b5za2idSgSc37JLTyzJi2HXpDWJeVdvM368hZVjJckfc8mUSFyxOUimb1PdRD6ckNZT+i69sktUuOrHq9gVJ0sEJ//XpDtaLwktQoxqH2zRqqe+uEatscNlu9fc5gPif0EUvPnj314osvaufOnXrjjTe0fft29evXT926ddO0adNUWFhYq+MsXbpUPXv2VM+ePSVJEyZMUM+ePfXYY4/J4XBo1apV+t3vfqeOHTtq3Lhx6t27txYsWOCXEvf++++rU6dOGjhwoEaMGKFzzz1X//jHP3zbExISNHv2bG3ZskW9e/fWfffdp8cee0y33nqrb5++ffvqgw8+0D/+8Q91795d//73vzVjxgx16dLFt8+DDz6oP/7xj7r11lt11llnqbi4WLNmzVJsrH++LgBELEeUdNk/JEeM9GumtOzt0J2bmVKwAu+soUgLthQcCkp5Z3sdzYnOmD7RWVaokTcoFcVMKdRDqQkNNPnyrnJUSZE2JG3fVxq+RoVQTmGpFm7K09a8A3pt/madN+VbzVi5s9p+dpuUOeF8zbnvAn02/lz99YqufsG8/7u8C6l7MI2TKnRuGJ6laMvLy2UYhhITE/Xyyy/r0Ucf1WuvvaZRo0Yd8/EXXHCBjGN8Ev/NN98ctw1JSUn64IMPjrlPt27dtGDBgmPuc9VVV+mqq6466nabzaYnnnhCTzzxxHHbBAARq3knadBE6ZuHpW/+Ip1yfmjeOHpThwhKIZIltZO2fS/lbwl3S+pm31bP7dEKlleV0Krus6W9s6yq1KWs9SwrVFPh8rx2Jn0P9dWos9J0Xsdm2ppXon8t2abPVuboqS/X6b939JP9yGlUFlK1blRV7Zs1VN/2yfpg8Ta5DM8sqCODTqPOSlPPtEQNfWG+DEn9O/B6C+ZxQkGpZcuW6a233tKHH36omJgYjRkzRtOnT9epp3oKXb700ku66667jhuUAgCYUJ/bpQ0zPW+u/z1OGjhRSu4Q3DeQ3vS9hsnBOwcQbHWZKVW4Q8rf5JlFFO7gjC8o1S545+g1Rmo/0PPcJJ0S/muOYIdnSln3zTdwPKkJDZSa0EDtmzfU/9bt1k/bC/XZTzt0WU9zryiXU1iqLXkHlJ7csE4zlbbmHdCf/7O6Wm2oh4d30u/PTZfTYdcdA9pra16J2iXH1Xjsji0aq2daEy3PLtD3G/N09VltTvJqgMCo80csXbt21TnnnKMtW7bojTfe0G+//aZnnnnGF5CSpNGjR2vPnj0BbSgAIETsdmnkK540vp3LpX9eKk3tIi1/N3jn9KXvNQ/eOYBg8wal9h1nptTydz1/U+9cEvy/rdrYV8v0vZNFXcqAOFxTiplSQPPGsbpjgOd96JRZP6u03BXmFh3dR0uy1e+Zubr2tcXq98xcfbQku9o+3vS8nEJPOuJv+SWa/PV6XfTSgmoBKUnq2rqJb9ZkakIDZbRvesxgl3eG1Hcbea8O86jzTKmrr75av//979Wq1dFfUCQnJ8vtdp9UwwAAYWR3Sq7ywz8bbk/qTfuBwXlDSU0pWEFiuuf2WDOlCndIn98lX+HvYP9t1YZ3ptTRVt6DqXjT96gpBXiMOzddHyzO1o6CUr22YLPuGtgh3E2qpqYV8v786WolNYzWWe2S1CQu2i89z2aTOqfEa0NuUY1FzKUTK1Z+XsdkTZuzUT/8mieX25DDwumOiBx1Hs28taOOVFpaSr0lALCK/E0K6WpZxd6gFOl7iGBJh4JSB/ZIZftr3ifUf1vHYxi1L3QOU/DOlHKSvgdIkmKjHPrT8E6SpP83b5N2FR0Mc4uq25J3oFpwyTCkW95dph5PZKrb49/oT/85HLQyDGldjicgde6pyXptzJl+Bd5rqhtVG91bN1HjWKcKSiq0ZkftFicDgq3OQalJkyapuLi42v0lJSWaNGlSQBoFAAizUK6WVX5Aqjjg+Z6ZUohksQlSXFPP90crdu6s4Q1EOFeiO7BHqiiRZJMSqC8SCUjfA6q7pFuqeqY1UWmFS89+83O4m1NNu6Y1z2hKbhQtSSo6WFnj9mev6qb3bu6jwae30Oiz0/T9nwfow1vO0fd/HqBRZ6XVuR1Oh1392ns+AJz/Cyl8ZnZkKqeVndBMKZut+iczP/30k5KSkgLSKABAmHlXy7I5Dt93zu1BSt07VOTcGSvFNA788YFQOl6x818zj7jDFt6V6LypewmtJWd0eNqAOiF9D6jOZrPp0YtPlyT9e/l2080C+uHXvX4/O2w2/fWKrlr6yGCte2Ko3r3pbB35Dtths6nfqf4zyGtTN+p4+nf0HHPBxrwTPgaC67X5m9V38rHrj1lJrUezxMREJSUlyWazqWPHjkpKSvJ9JSQkaPDgwbr66quD2VYAQCj1GiPds1rqONTz88GC4Jynaj2pGj70ACLKsYqduyql5f/0fN+yl+e2XT/P31q4hKrIOQLGt/qek6AUUFWvtET9rntLGYb06GdrtPBXc8wyySsu09Mz10uS7rigfbWZTnHRTp13WjM9c8XJp+fVxnmHip0vz96n/QcrAn58nLg9+8v05/+s0tMz1/sS/d2G9PCna0zRl4Ol1oXOp06dKsMw9Pvf/16TJk1SQkKCb1t0dLTatWunjIyMoDQSABAmCa2kvndLv3wjrftcGvGcFBUb2HMcoJ4ULORYxc43zpb27/Sk+I34m/T6QClnleR2SXZH9f1DgSLnEccXlKJAMVDNn4Z30szVOVqRXaBrX18su02afHnXE0p1C5SnvlyngpIKdU6N172DOx51luOos9J0Xsdm2ppXonbJcUEJSElSm6Q4pSc31Ja8A8ratFdDzkgJynlQe3uLy/T3+Zv1btZWHayovmCcyzC0Na8kaH0i3GodlBo7dqwkKT09XX379lVUVFTQGgUAMJG0DCm+lVS0w/Om+vTfBfb4vqBU88AeFwgHX/peDTOllr3tue1xrdSypxQTL5UVSbvWSKndQ9ZEP96gFDOlIoLLbfgKIZO+B1Rnt3n+TrzchvTQp6t17qnJapVYt5XqAuG7X/ZoxsqdstmkZy7vety/29SEBiEJPPTvkKwteQe0YGMeQakwySks1erthVqwMU//Wb5dJeUuSVLnVM+qi0aVwvgnstJiJKnVaFZUVOT7vmfPniotLVVRUVGNXwAAi7HbpS5XeL5f/Ungj181fQ+IdN4V+I4MShX8drieVK8bPTOj2pzt+Tl7UciaVw0r70UU7ywpifQ9oCZb8g4cub6p3IZ06fQf9Pzsn7Ulz7OwSk7hQW0stCmnMHgr9ZWUV+ov/10tSbqxbzt1b9MkaOeqq/6HUvgWbKTYeTi8+f0W9Z08V7f+c5n+uWibSspd6toqQW/deJZm3nWungnASouRpFYzpRITE5WTk6PmzZurSZMmNRY69xZAd7lcAW8kACDMul0tLXzRk8Z3sNCzyligFJO+BwvxzpQq2iFVHDyc7rriPclwS+36S8mneu5LO0f69X/StoVSnz+Ep72+mVKk70UCv6CUg/Q94EjpyQ1lt0nuIyJTecXlenHur3px7q9KS2qg3/JLZcihV9bPrzG9L6ewVFvyDig9ueEJBwOm/m+jtu8rVasmDXT/kNNO9JKCIqN9UzntNm3dW6LsvSVKO8rqgAis3fsPatr/Nur9xf6Fy+026e839FLLJp7fQ6hSOc2iVkGpuXPn+lbW+/bbb4PaIACACbXoIjXrJO3ZIK3/Qup5feCOzUwpWElc08NpeQXbpGaneQqcrzhU4Lz3jYf3Tevruc3Okgwj9IX+K8ulwu2e75kpFRG8K+9JUpSdmVLAkVITGmjy5V318Kdr5DIMOWw2Pf67MxTfwKlPl+/Q/F/2KDv/cMFotyH96T+rtXhzvs5sl6TOqY21ZkehJn6+Vm5DJ1yTas2OQr2+wFNb8MmRZ6hhTK2r5oREoxinerVN1I9b8jV/4x5d35QPJgKtamBTkv7+3WZ9+GO2yiqr14xyG9K2vaW+oJQUulROM6jVX8f555/v+z49PV1t2rSpNlvKMAz99ttvgW0dAMAcbDap61XS3CelVR8HJyjViJpSsACbzRPgyV3lKXbe7DTPbKiiHVKDJKnzJYf3bdVbckRLxbs8+zZtH9q2Fv4myZCi4ggKRwjvTCmH3SY7hc6BGh1tlsmlPVpp5qqduuODFdUe8+mKHfp0xY5q93tXPjuvY7NaBwh+yz+gP364Qm5Duqhbqi7s1OLkLihIzuuQrB+35GvBxj26/hyCUoH00ZJsPfTpat+MPYdN8n6mcHpqvNbXs5pRx1Pnj1jS09O1Z0/13NP8/Hylp6cHpFEAABPqeqXndst8aX9u4I57IM9zS/oerOLIYudVC5w7Yw7vFxUrtezl+T4cdaWqrrwX6llaOCHlhz5hJ3UPOLbUhAbKaN+0WiCpZ9tEHRnPtdmk6/qkqX+HZMXHVl/My7vyWW18tCRb502Z56td1cNEdaSO5K0rtfDXvX6pwTg5OYWlfgEpyROQ6tGmid4b10df1cOaUcdT56CUt3bUkYqLixUbG+BlwgEA5pHYTmp9tiRDWvNp4I57YLfnlpkasApfsfPNUuEOaeM3np+rpu55tc3w3GYvDEnT/LDyXsSpPPQuh5X3gBPjTe/zBqbsh1bFe/qyrvrnuD765t7+1YJWknSgvPK4x96294D+/J/VfoXWn5m5QTmFpUd9TDh1aZWgxLgo7S+r1E+/FYS7OZbxzZrcajXNJOlPwzrp3A7JstlsGnVWmr7/8wB9eMs5+v7PA+qcHmo1tU5unTBhgiTJZrPp0UcfVVzc4ellLpdLixcvVo8ePQLeQACAiXS7Wtr+o7T6YynjjpM/ntsllez1fE9QClbhnSm1b4unlpThltqeKyV3qL5vWoakF6RtWSFtoqQqK++RthEpvLMZCEoBJ27UWWnKSE/UxzO/1dUjBigtubFv25E1qbxu++cy3T/0NN3a/5RqqbO/5Zfogx+z9d6ibdVW/vPOsjLjLBiH3aZ+pybry1U5mr8xT2e2Swp3kyJaWaVLU/+3Ua/O21RtW03pefWpZtTx1DootWKFJ/fWMAytXr1a0dHRvm3R0dHq3r277r///sC3EABgHqePlL7+k7RzhZT36+FVxE5U6T7PG3ZJiiN9DxbhDUrlbZR2b/B8X9MsKUlq00eSTcrfJO3fJTUOYe0RZkpFHNL3gMBITYhVhwRDqQnVM32q1qRq2iha0/63UV+tztEzX2/QD7/m6cFhp6mopFK79h/UzNU5mrNht199oKrMXivovA7N9OWqHC3YuEcTBncMd3Mi1obcIt3zr5XakLtfktQrrYlW/lYgt0F6Xm3UOijlXXXvpptu0rRp0xQfHx+0RgEATKpRM6n9hdKvmdLqT6QBD53c8bxFzhskSQ5zrUwDnLDEQ+l73plIDRL9C5xX1aCJ1OIMadca6bdF0umXhqSJkqR93plS7UJ3TpwUZkoBoVF1FsvL1/ZU/yXJevyLtVqwMU8LNuZV2//cU5N1/TltlX+gTI/OWOtb+c/swYj+HT0fCP70W4EKSyqUEFe9pla4VV3Frqbn8ljbj/fYk23Xpt0HtHBTnl5fsEXlLreSGkbr/y7romFdUpVTWFqt2D5qVud3AG+99VYw2gEAiBRdrzoclLrgzydXILmYelKwoMapkiNGcpV5fu5+raeo+dGkZXiCUtuyQhyU2uq5bUL6XqTw1pSKJigFhIzNZtM1Z6epbdM4jX5tsf82SR/eeo7OOaWp774BnZpHTDAiNaGBOjRvpI27i/XDpjyN6Joa7ib5eWPBZj311XoZ8jzXI3u21Pkdm6thjFMNYxxa+OtevTLvV7kNT32wyZd39dVnqroC3pHbTtZ7i7bp0c/W+M2QG9S5uSZf3k3NGnsWNCE9r/bqHJQ6cOCAnnnmGc2ZM0e7d++W2+1fqX/z5s0BaxwAwIQ6jZCcDTzpRjtXSK16nfixvDOlGjUPTNsAM1j53uGAlOSZDXUsaedIS14LbbHz0gLpYIHne2pKRYyKQ+l7TtL3gJCrKUPPkKql7kVaMKJ/h2bauLtYCzbuMU1QauOu/Xpp7kZ9/lOO7z5D0n9X7NR/V+ys8TFuQ/rTf1brhcyNim/g1C+7iv22PfzpGp3XsVmdfjfemVZpSXHaW1yu73/N07c/79LSrQV++9ls0hOXnuELSKFu6hyUuvnmm/Xdd9/phhtuUGpqao0r8QEALCymsScwteY/ntlSJxWUOjQFviH1pGARhTukL+72v2/eM1KP66SEVjU/pm1fz23uaulgkRQbghIJ3tTChs2l6IbBPx8Copz0PSBs0pMbym6T38pqZq8ZVRv9OybrzR+2aP4veTIMIyzv73MKS7VlzwHt3l+mT1fs0Pxf9hx13y4t4+Vw2LVn/0HtLDhYbXtu0UHlFlV/XF2Lzr+zcKse/3xtjcHIIxmGtG1vqVo2iey+EC51Dkp9/fXX+uqrr9SvX79gtAcAEAm6XuUJSq35jzTkKcnuOLHjHCB9DxaTv+lw8X4vwyXlbz56UCq+pSeFrmCbtH2JdOrA4LfTV+ScWVKRpMLleXtEUAoIvSNX5ouEmlG1cU56U0U77NpRUKr/LN+ufqcmh/SaXl+wWU8fStHzstmk8zs003cb9/jNRHPYbHpt7JlKTWignMJS9Xtmrl+Q0G6T/n5DbxUdrNT9H/9ULaA0f+NunZ2eJIf96IE3t9vQmz9s0VNfra+2rX+HZJ3VLklT//eL5YKT4VTnoFRiYqKSklguEgDqtfYDPcWbi3dJWdOlLlcc/Q33sXjT9whKwSqS2ks2u39gyuY4vCLf0bTt6wlKZWeFOCjVLvjnQsBUHpopRU0pIDyqrswXCTWjaqNBtENpTRvo190HdP8nqwJef0nyLzjevHGsftpeoHkbdmv2ul2+Feu8bJI+/sM5OqtdU320JPuoQcCjBQkHn54iyfP/0rvNJk/63/+bt1krsgv0wqgeNf7uVmTv0+NfrNNPvxXUeB13XHCqMto3VYv4GMsFJ8OpzkGpJ598Uo899pjeeecdxcURDQSAeskZLTU/Xdr2g5T5qPS/idIl06ReY+p2HF/6HkEpWERCK8/fwhf3eGZI2RzSJVOPH7RNO0f66UNPsfNQ8K68R5HziOJN36OmFBA+kVYz6ni8q8h5uQ3poU9X16n+0rFWuftn1jZN/HyNb2ZRXLRDJeWuox7LkFR5aPPxgoDH2l51W9umDfT9r3v1+OdrtWhzvoZNXaC/XtFV3ds00Za8A2oU49TbP2zVpyt2SJIaRNl1sMLtN9Oq6mwoKwYnw6nOQannnntOmzZtUosWLdSuXTtFRfkvG7l8+fKANQ4AYFKFO/yLMhtuz5vw9gPrNmOKmVKwol5jPH8L+Zs9M6Rq8zeRdqiu1I6lUmWZ5AxysVRmSkUk0vcABNqWvAPV0tzchnTN3xdp1NltdEm3lmqTFFct8OR2G9q1/6De/H6LXl+wxXeMzimNFRPl0N4DZdqzv0wHK/xT2kvKXWoY49AFHZure5sEPfP1hmOmwh0vCHis7VW3XX1mnM5ql6S7/7VCq7YX6rb3ao5bXNm7tR4cepq+/Xn3MWdDWS04GU51DkqNHDkyCM0AAESU/E3Vl5sxXNK6z6WM22t/nGJqSsGiElrVLUCb3EGKS5ZK8qScn6Q2ZwevbdLhQucEpSJKBYXOAQRYTQXcJWlbfommzPpZU2b9rNaJDbRjX6kv8JSaEKuCkgqVVlSf8bT+iHS8mvz9+t46t4PntV9Cg6iQpcKlJzfUv2/rqye/XKd/LtpWbfsbY8/UwM4tJDEbKpTqHJSaOHFiMNoBAIgkNdXNkaRv/iwVbZcufFSKij3+cVh9D/Cw2TwpfBu+lLYtDG5Qyu2SCrI931PoPKL4ako5Sd8DEBg11Wb6y0Wd1SDaoS9X7dTCX/dq+75Sv8fkFHpWvaspmCVJEwZ3VL9Tm8rlNnTNPxZVmwnVvnkj38+hDv5EO+0a3jWlxqBUXLR/eITZUKFR56AUAAA11s1pc5aUvUjKeln6dY502atSTKKS96+TinpITY9481t+QKo4VMOgUfNQXwFgPmkZnqBUdpake4J3nv05kqtcsjul+BNYoABhU34ofc9pZ6YUgMA5WmBo9Nlp+np1jm5/v3qq2wtXd1fvdom64G/zqgWdrjqzte8YtVmxMNTBn5pmh7GCXvjUOSjlcrn0wgsv6OOPP1Z2drbKy8v9tufn5wescQAAE6upbs7PX0uf/1Has156bYCchqF+MmS8PKV6IXTvLClnrBTdqOZzAPVJ2wzPbfYiye2WghV48BU5T5PsjuCcA0FB+h6AYDlaYKhHWpMaAzjntG961BXwjlZw3CxpcLVpN0KnzkGpSZMm6fXXX9d9992nRx55RH/5y1+0detWzZgxQ4899lgw2ggAMKsj6+acNly6Y5H03z9Iv/5P3gQTW02F0KsWObeRigIopbsU1VA6WCDt2SC1OD045/EWOWflvYhTUUn6HoDQOl4ApzZBJzOmwZkxWFZf1Tko9f777+u1117TRRddpMcff1yjR49W+/bt1a1bNy1atEh33XVXMNoJAIgUDZOlvndJv/7P/37DJX11vzT4canZaYeDUs5Yz2p+dSkKDViRw+lJg908z7O6ZbCDUhQ5jzgVblbfAxB6xwvgmDHoVBuR2m6rqfOIlpubq65du0qSGjVqpMLCQknSxRdfrK+++iqwrQMARKamp3oKoR/pl5nS9LOld0dKP0z13Ld3ozS1i7T83VC2EDCntEMpfNuygncO38p7zJSKNN70PWpKAQi11IQGyjiUsgcEUp1HtNatWysnJ0eS1L59e82ePVuStGTJEsXExAS2dQCAyHSoELph89SrMWwOqe8fpU4XS7JJm7/11M3x8qb3Fe4IS3MB0/AGpbKzJKOGJY0CgZlSEcubvhdF+h4AwCLqnL532WWXac6cOerTp4/++Mc/6vrrr9cbb7yh7Oxs3XvvvcFoIwAgEvUao8q252vx1x+qz/DRivKuvrdvq/S/x6W1//Xf33B5iqaTxof6rPVZnlXxinZIa/7jCVIF+m+CoFTE8s6UiiZ9DwBgEXUOSj3zzDO+70eNGqW0tDRlZWWpQ4cOuuSSSwLaOABAhItvqb2NO0vxLQ/fl9hOGvK0tO4zzwwpL5vDs4ofUJ9Fx0nxrTwpdv8Z50mDPXLlyuMp3CHlb5KS2lcPaJWXSMW7PN9T6DziUFMKAGA1dQ5KHSkjI0MZGRmBaAsAoL44lN6nL+7xzJCyOaRLpjJLCijcIRVkH/65ppUrj2X5u9IXd3seV1NAy3vsmASpQWJAm47g86bvOR2k7wEArKHOQal33z12IdoxY+rwSR4AoP7qNcbzRjt/s2eGFAEpwDPDSUfUkjJc0q9zpN7HeY1VkC19ftfhxxtuT4Aq6RRPGqDdIe1c7tkWnyrZCGxEGtL3AABWU+eg1N133+33c0VFhUpKShQdHa24uDiCUgCA2ktoRTAKqCqpvWeGU9XUVkn68h5PwOr8P0ml+/zT8/Ztk1a8Jy15Q9UDWm7p7YskZ6zUsJlU+Jvn/j0bPLOq6pIWiLCrcJG+BwCwljoHpfbt21ftvo0bN+r222/XAw88EJBGAQAA1EvVUlvtUkpXKecn6YepnkBS6T55gk82KbmjlPeLqgWjqnLESpUHDwekvOqSFghT8M6UIigFALCKk64pJUkdOnTQM888o+uvv14bNmwIxCEBAADqp5pSWzfMlL68VyrOrbKjIeX97Pn2lAs8jystlGbe71+rrcd10upPpP/+wf88rHgZcbxBKWpKAQCsIiBBKUlyOp3auXNnoA4HAABQfx2Z2tpphKcm1AdXV9/38tekblXu7zi0eq22dv2rpwWy4mXE8abvUVMKAGAVdQ5Kff75534/G4ahnJwcvfzyy+rXr1/AGgYAAIAqWnSpObDU9ojXXzXVamPFS0sgfQ8AYDV1DkqNHDnS72ebzaZmzZrpwgsv1HPPPReodgEAAKCqkw0sseJlxDsclCJ9DwBgDXUOSrnd7uPvBAAAgMA72cASK15GNFbfAwBYzQnXlMrLy1N0dLTi4+MD2R4AAAAcC4Gleov0PQCA1dRpRCsoKNCdd96p5ORktWjRQomJiUpJSdFDDz2kkpKSYLURAAAAqPdI3wMAWE2tZ0rl5+crIyNDO3bs0HXXXafOnTtLktatW6eXXnpJmZmZ+v7777Vq1SotWrRId911V9AaDQAAANQ3vvQ9JzOlAADWUOug1BNPPKHo6Ght2rRJLVq0qLZtyJAhuuGGGzR79my9+OKLAW8oAAAAUJ/5ZkrZCUoBAKyh1kGpGTNm6O9//3u1gJQkpaSkaMqUKRoxYoQmTpyosWPHBrSRAAAAQH3nC0o5Sd8DAFhDrT9mycnJ0RlnnHHU7V26dJHdbtfEiRMD0jAAAAAAh7H6HgDAamo9oiUnJ2vr1q1H3b5lyxY1b948EG0CAAAAcATS9wAAVlPrEW3o0KH6y1/+ovLy8mrbysrK9Oijj2rYsGEBbRwAAAAAD9L3AABWU6dC52eeeaY6dOigO++8U506dZJhGFq/fr1eeeUVlZWV6d133w1mWwEAAIB6yTAM0vcAAJZT66BU69atlZWVpTvuuEMPPfSQDMMzKNpsNg0ePFgvv/yy0tLSgtZQAAAAoL6qdBu+7wlKAQCsotZBKUlKT0/X119/rX379mnjxo2SpFNPPVVJSUlBaRwAAACAw6l7khTlIH0PAGANdQpKeSUmJurss88OdFsAAAAA1KCikplSAADrYUQDAAAATK68ykwpp52ZUgAAayAoBQAAAJhcpdsTlIp22GWzEZQCAFgDQSkAAADA5Lzpe07qSQEALISgFAAAAGBy3vQ96kkBAKyEUQ0AAAAwuQqCUgAAC2JUAwAAAEyu0uVJ34smfQ8AYCEEpQAAAACT86bvOZkpBQCwEEY1AAAAwOQOp+8xUwoAYB0EpQAAAACTo6YUAMCKGNUAAAAAk/PVlHLy8h0AYB2MagAAAIDJ+WpK2UnfAwBYB0EpAAAAwORI3wMAWFFYR7X58+frkksuUcuWLWWz2TRjxgy/7YZh6LHHHlNqaqoaNGigQYMGaePGjX775Ofn67rrrlN8fLyaNGmicePGqbi42G+fVatWqX///oqNjVWbNm00ZcqUam355JNP1KlTJ8XGxqpr166aOXNmndsCAAAABIM3KEX6HgDASsI6qh04cEDdu3fX9OnTa9w+ZcoUvfjii3r11Ve1ePFiNWzYUEOHDtXBgwd9+1x33XVau3atMjMz9eWXX2r+/Pm69dZbfduLioo0ZMgQtW3bVsuWLdPf/vY3Pf744/rHP/7h22fhwoUaPXq0xo0bpxUrVmjkyJEaOXKk1qxZU6e2AAAAAMFQcaimFDOlAABW4gznyYcPH67hw4fXuM0wDE2dOlWPPPKILr30UknSu+++qxYtWmjGjBm65pprtH79es2aNUtLlizRmWeeKUl66aWXNGLECD377LNq2bKl3n//fZWXl+vNN99UdHS0zjjjDK1cuVLPP/+8L3g1bdo0DRs2TA888IAk6cknn1RmZqZefvllvfrqq7VqCwAAABAsFdSUAgBYUFiDUseyZcsW5ebmatCgQb77EhIS1KdPH2VlZemaa65RVlaWmjRp4gtISdKgQYNkt9u1ePFiXXbZZcrKytJ5552n6Oho3z5Dhw7VX//6V+3bt0+JiYnKysrShAkT/M4/dOhQXzphbdpSk7KyMpWVlfl+LioqkiRVVFSooqLixJ8cWIq3L9AnYEX0b1gZ/RuhdLC8UpLktIemz9G/YWX0b1iZWfp3bc9v2qBUbm6uJKlFixZ+97do0cK3LTc3V82bN/fb7nQ6lZSU5LdPenp6tWN4tyUmJio3N/e45zleW2oyefJkTZo0qdr9s2fPVlxc3FEfh/opMzMz3E0Agob+DSujfyMUVu20SXJod26OZs7cEbLz0r9hZfRvWFm4+3dJSUmt9jNtUMoKHnroIb8ZWEVFRWrTpo2GDBmi+Pj4MLYMZlJRUaHMzEwNHjxYUVFR4W4OEFD0b1gZ/Ruh9Nv8LdK2jWqX1kYjRpwR9PPRv2Fl9G9YmVn6tzdT7HhMG5RKSUmRJO3atUupqam++3ft2qUePXr49tm9e7ff4yorK5Wfn+97fEpKinbt2uW3j/fn4+1Tdfvx2lKTmJgYxcTEVLs/KiqKf36ohn4BK6N/w8ro3wgFl+GpJRUd5Qhpf6N/w8ro37CycPfv2p7btMt3pKenKyUlRXPmzPHdV1RUpMWLFysjI0OSlJGRoYKCAi1btsy3z9y5c+V2u9WnTx/fPvPnz/fLZ8zMzNRpp52mxMRE3z5Vz+Pdx3ue2rQFAAAACBZvofNoVt8DAFhIWEe14uJirVy5UitXrpTkKSi+cuVKZWdny2az6Z577tFTTz2lzz//XKtXr9aYMWPUsmVLjRw5UpLUuXNnDRs2TLfccot+/PFH/fDDDxo/fryuueYatWzZUpJ07bXXKjo6WuPGjdPatWv10Ucfadq0aX5pdXfffbdmzZql5557Ths2bNDjjz+upUuXavz48ZJUq7YAAAAAweINSkU5WH0PAGAdYU3fW7p0qQYMGOD72RsoGjt2rN5++209+OCDOnDggG699VYVFBTo3HPP1axZsxQbG+t7zPvvv6/x48dr4MCBstvtuuKKK/Tiiy/6tickJGj27Nm688471bt3byUnJ+uxxx7Trbfe6tunb9+++uCDD/TII4/o4YcfVocOHTRjxgx16dLFt09t2gIAAAAEQ4XLkCRFMVMKAGAhYQ1KXXDBBTIM46jbbTabnnjiCT3xxBNH3ScpKUkffPDBMc/TrVs3LViw4Jj7XHXVVbrqqqtOqi0AAABAMHhnSjkJSgEALIRRDQAAADC5wzWlSN8DAFgHQSkAAADA5EjfAwBYEaMaAAAAYHKHC53z8h0AYB2MagAAAIDJsfoeAMCKCEoBAAAAJsdMKQCAFTGqAQAAACZHTSkAgBUxqgEAAAAm55sp5eTlOwDAOhjVAAAAAJPzBaXs1JQCAFgHQSkAAADA5MpJ3wMAWBCjGgAAAGBylaTvAQAsiFENAAAAMLnDq++RvgcAsA6CUgAAAIDJsfoeAMCKGNUAAAAAkyuv9M6U4uU7AMA6GNUAAAAAk6t0k74HALAeglIAAACAyXnT96KZKQUAsBBGNQAAAMDkKg6l7zkJSgEALIRRDQAAADC5clbfAwBYEEEpAAAAwOQq3aTvAQCsh1ENAAAAMDGX25DrUFCK1fcAAFbCqAYAAACYWMWh1D1JcpK+BwCwEIJSAAAAgIlVDUoxUwoAYCWMagAAAICJVboM3/cEpQAAVsKoBgAAAJiYd6aUw26Tw076HgDAOghKAQAAACZWfigo5SQgBQCwGIJSAAAAgIlVHErfiyZ1DwBgMYxsAAAAgIlVHpopFeXkpTsAwFoY2QAAAAATI30PAGBVBKUAAAAAE/Om77HyHgDAahjZAAAAABPzrr4XTfoeAMBiGNkAAAAAE/MGpaIcpO8BAKyFoBQAAABgYt70Paedl+4AAGthZAMAAABMrKKS1fcAANbEyAYAAACYmK+mFOl7AACLISgFAAAAmFiFm9X3AADWxMgGAAAAmJg3fc9JUAoAYDGMbAAAAICJkb4HALAqglIAAACAiZG+BwCwKkY2AAAAwMR8q+8RlAIAWAwjGwAAAGBi3vQ9J+l7AACLISgFAAAAmNjhmlK8dAcAWAsjGwAAAGBiFS5qSgEArImRDQAAADAx70wpglIAAKthZAMAAABM7HBQippSAABrISgFAAAAmBjpewAAq2JkAwAAAEyM9D0AgFUxsgEAAAAm5gtKOUnfAwBYC0EpAAAAwMR86Xt2XroDAKyFkQ0AAAAwsXIKnQMALIqgFAAAAGBilb70PV66AwCshZENAAAAMDFW3wMAWBUjGwAAAGBiFaTvAQAsiqAUAAAAYGLlld6gFC/dAQDWwsgGAAAAmFilm/Q9AIA1MbIBAAAAJuZN34smKAUAsBhGNgAAAMDEvOl7TmpKAQAshqAUAAAAYGKHC53z0h0AYC2MbAAAAICJUVMKAGBVjGwAAACAiVVUUlMKAGBNjGwAAACAiZW7PDOlqCkFALAaglIAAACAiVFTCgBgVYxsAAAAgIlVukjfAwBYEyMbAAAAYGIVh9L3opyk7wEArIWgFAAAAGBShmGo/NBMKaedl+4AAGthZAMAAABMqtJt+L4nfQ8AYDWMbAAAAIBJVboOB6VI3wMAWA1BKQAAAMCkvKl7EqvvAQCsh5ENAAAAMKmKKkEpp52ZUgAAazF1UOrxxx+XzWbz++rUqZNv+8GDB3XnnXeqadOmatSoka644grt2rXL7xjZ2dm66KKLFBcXp+bNm+uBBx5QZWWl3z7z5s1Tr169FBMTo1NPPVVvv/12tbZMnz5d7dq1U2xsrPr06aMff/wxKNcMAAAAeHmDUlEOz2thAACsxNRBKUk644wzlJOT4/v6/vvvfdvuvfdeffHFF/rkk0/03XffaefOnbr88st9210uly666CKVl5dr4cKFeuedd/T222/rscce8+2zZcsWXXTRRRowYIBWrlype+65RzfffLO++eYb3z4fffSRJkyYoIkTJ2r58uXq3r27hg4dqt27d4fmSQAAAEC95K0pReoeAMCKTD+6OZ1OpaSk+L6Sk5MlSYWFhXrjjTf0/PPP68ILL1Tv3r311ltvaeHChVq0aJEkafbs2Vq3bp3ee+899ejRQ8OHD9eTTz6p6dOnq7y8XJL06quvKj09Xc8995w6d+6s8ePH68orr9QLL7zga8Pzzz+vW265RTfddJNOP/10vfrqq4qLi9Obb74Z+icEAAAA9Ua5b6aU6V+2AwBQZ6Yf3TZu3KiWLVvqlFNO0XXXXafs7GxJ0rJly1RRUaFBgwb59u3UqZPS0tKUlZUlScrKylLXrl3VokUL3z5Dhw5VUVGR1q5d69un6jG8+3iPUV5ermXLlvntY7fbNWjQIN8+AAAAQDBUTd8DAMBqnOFuwLH06dNHb7/9tk477TTl5ORo0qRJ6t+/v9asWaPc3FxFR0erSZMmfo9p0aKFcnNzJUm5ubl+ASnvdu+2Y+1TVFSk0tJS7du3Ty6Xq8Z9NmzYcMz2l5WVqayszPdzUVGRJKmiokIVFRW1fBZgdd6+QJ+AFdG/YWX0b4RC6UFP/3LabSHta/RvWBn9G1Zmlv5d2/ObOig1fPhw3/fdunVTnz591LZtW3388cdq0KBBGFtWO5MnT9akSZOq3T979mzFxcWFoUUws8zMzHA3AQga+jesjP6NYNq6X5Kcqig7qJkzZ4b8/PRvWBn9G1YW7v5dUlJSq/1MHZQ6UpMmTdSxY0f9+uuvGjx4sMrLy1VQUOA3W2rXrl1KSUmRJKWkpFRbJc+7Ol/VfY5csW/Xrl2Kj49XgwYN5HA45HA4atzHe4yjeeihhzRhwgTfz0VFRWrTpo2GDBmi+Pj4ul08LKuiokKZmZkaPHiwoqKiwt0cIKDo37Ay+jdC4cet+dKapUpo3EgjRvQL2Xnp37Ay+jeszCz925spdjwRFZQqLi7Wpk2bdMMNN6h3796KiorSnDlzdMUVV0iSfv75Z2VnZysjI0OSlJGRoaefflq7d+9W8+bNJXmihfHx8Tr99NN9+xz5qVNmZqbvGNHR0erdu7fmzJmjkSNHSpLcbrfmzJmj8ePHH7O9MTExiomJqXZ/VFQU//xQDf0CVkb/hpXRvxFMhhySpGinPSz9jP4NK6N/w8rC3b9re25TFzq///779d1332nr1q1auHChLrvsMjkcDo0ePVoJCQkaN26cJkyYoG+//VbLli3TTTfdpIyMDJ1zzjmSpCFDhuj000/XDTfcoJ9++knffPONHnnkEd15552+YNFtt92mzZs368EHH9SGDRv0yiuv6OOPP9a9997ra8eECRP02muv6Z133tH69et1++2368CBA7rpppvC8rwAAACgfqhws/oeAMC6TD1Tavv27Ro9erT27t2rZs2a6dxzz9WiRYvUrFkzSdILL7wgu92uK664QmVlZRo6dKheeeUV3+MdDoe+/PJL3X777crIyFDDhg01duxYPfHEE7590tPT9dVXX+nee+/VtGnT1Lp1a73++usaOnSob59Ro0Zpz549euyxx5Sbm6sePXpo1qxZ1YqfAwAAAIFUUcnqewAA6zJ1UOpf//rXMbfHxsZq+vTpmj59+lH3adu27XGLQl5wwQVasWLFMfcZP378cdP1AAAAgECqcBmSJCczpQAAFsToBgAAAJhUhcszUyqaoBQAwIIY3QAAAACT8galSN8DAFgRQSkAAADApLzpexQ6BwBYEaMbAAAAYFKHZ0rxsh0AYD2MbgAAAIBJkb4HALAyglIAAACASZG+BwCwMkY3AAAAwKR8M6WcvGwHAFgPoxsAAABgUr6glJ30PQCA9RCUAgAAAEyqnELnAAALY3QDAAAATKrSW1OK9D0AgAUxugEAAAAmVcFMKQCAhTG6AQAAACZFTSkAgJURlAIAAABMqryS9D0AgHUxugEAAAAmVekmfQ8AYF2MbgAAAIBJedP3oh2k7wEArIegFAAAAGBS3vQ9JzOlAAAWxOgGAAAAmBSr7wEArIzRDQAAADCpwzWlSN8DAFgPQSkAAADApCoOpe9FM1MKAGBBjG4AAACASZUfSt+jphQAwIoY3QAAAACTOlxTivQ9AID1EJQCAAAATKrSRfoeAMC6GN0AAAAAk/LNlHLysh0AYD2MbgAAAIBJ+WpK2UnfAwBYD0EpAAAAwKQO15TiZTsAwHoY3QAAAACT8tWUIn0PAGBBjG4AAACASZUzUwoAYGGMbgAAAIBJVVBTCgBgYQSlAAAAAJOqIH0PAGBhjG4AAACACbndhlxuT1CK9D0AgBUxugEAAAAmVOF2+76PcpC+BwCwHoJSAAAAgAl5U/ckZkoBAKyJ0Q0AAAAwoYrKqjOleNkOALAeRjcAAADAhLzpe3ab5GD1PQCABRGUAgAAAEzIm77HLCkAgFUxwgEAAAAm5E3fIygFALAqRjgAAADAhCrd3qAUqXsAAGsiKAUAAACYUHkl6XsAAGtjhAMAAABMqMJF+h4AwNoY4QAAAAATOhyUIn0PAGBNBKUAAAAAE2L1PQCA1THCAQAAACZE+h4AwOoY4QAAAAAT8gWlnLxkBwBYEyMcAAAAYEK+oJSdmlIAAGsiKAUAAACYEDWlAABWxwgHAAAAmBDpewAAq2OEAwAAAEzIG5SKdpC+BwCwJoJSAAAAgAmVH0rfc9p5yQ4AsCZGOAAAAMCEKknfAwBYHCMcAAAAYEK+mlKk7wEALIqgFAAAAGBCvtX3SN8DAFgUIxwAAABgQuWV3vQ9ZkoBAKyJoBQAAABgQpVub/oeL9kBANbECAcAAACYkDd9L5qgFADAohjhAAAAABPypu85KXQOALAoglIAAACACR1efY+X7AAAa2KEAwAAAEyo0rv6HkEpAIBFMcIBAAAAJuSdKUVNKQCAVTHCAQAAACZU7qKmFADA2ghKAQAAACZETSkAgNUxwgEAAAAm5K0pRfoeAMCqGOEAAAAAE/Km70U5Sd8DAFgTQSkAAADAhLzpe047L9kBANbECAcAAACYUMWh9D1qSgEArIoRDgAAADChykMzpaJJ3wMAWBRBKQAAAMCEypkpBQCwOEY4AAAAwISoKQUAsDpGOAAAAMCEKkjfAwBYHEGpOpo+fbratWun2NhY9enTRz/++GO4mwQAAAALqiR9DwBgcYxwdfDRRx9pwoQJmjhxopYvX67u3btr6NCh2r17d7ibBgAAAIspPzRTiqAUAMCqGOHq4Pnnn9ctt9yim266SaeffrpeffVVxcXF6c033wx300Imp7BUCzflKaewtE7bgr09Uo/t2X5QGwttyik8GDHtturv+mTOXR+vuXbbj96/T+bc5r5m6/0uzdqucB7bsz04/7+DeV2R2gfDee5wXnNZhUuSVFBSXuN2AAAinTPcDYgU5eXlWrZsmR566CHffXa7XYMGDVJWVlYYWxY6Hy3J1kOfrpbbkOw26f4hp+nibi0lSV+u2qlnZ/9c47Zgb4/UY/tvd+iV9fMDdm5rPCeRc+76eM112169f9fH5ztSf5dmbZd5nu/A/v+O1N+lVc8d7msuOlgpSbru9cWafHlXjTorTQAAWInNMAwj3I2IBDt37lSrVq20cOFCZWRk+O5/8MEH9d1332nx4sXVHlNWVqaysjLfz0VFRWrTpo3y8vIUHx8fknYHSk7hQV3w3Hy56S0AAAAhZ7dJ8+47T6kJsSE5X0VFhTIzMzV48GBFRUWF5JxAqNC/YWVm6d9FRUVKTk5WYWHhMeMfzJQKosmTJ2vSpEnV7p89e7bi4uLC0KITt7HQJrfhqHZ/lM0Tpaowqq8KE2UzZLdJbiN424N57ki9rmC2O5jHjtRzB7NdwTx2pJ47mO2K1GPz/yS0x47U6wpmu6x67nA99mjb3Yb08cxv1SEhtJ8QZmZmhvR8QCjRv2Fl4e7fJSUltdqPmVK1VF5erri4OP373//WyJEjffePHTtWBQUF+uyzz6o9xuozpbyf2Ek66rbUhNhjPvZktwfz3JF6XTwnoT03zzfPd7iPzf8T6zzfkfq7tOq5zfx8h4JZPmkHgoH+DSszS/+u7UwpCp3XUnR0tHr37q05c+b47nO73ZozZ45fOl9VMTExio+P9/uSpKioqIj7SkturMmXd5XD5vnUzmGzafLlXZWW3PiY24732JPdHqnHrrrdfuiDULtNATm3FZ6TSDp3fbzmk+3f9fH5jtTfpVnbZZbnO9D/vyP1d2nVc5v5mkP1JUXm61a++KrNF/2bLyt/maV/1wYzpergo48+0tixY/X3v/9dZ599tqZOnaqPP/5YGzZsUIsWLY77+KKiIiUkJBw3UmhmOYWl2ppXonbJcUpNaFDrbcHeHqnHlqTsvP36eOa3unrEAKUlN46Idlv1d30y566P11yb7cfq3ydzbjNfsxV/l2ZtVziPLQXv/3cwrytS+2A4z23maw6miooKzZw5UyNGjKj1GwsgUtC/YWVm6d+1jX8QlKqjl19+WX/729+Um5urHj166MUXX1SfPn1q9VgrBKUQeGb5pwEEA/0bVkb/hpXRv2Fl9G9YmVn6d23jHxQ6r6Px48dr/Pjx4W4GAAAAAABARKOmFAAAAAAAAEKOoBQAAAAAAABCjqAUAAAAAAAAQo6gFAAAAAAAAEKOoBQAAAAAAABCjqAUAAAAAAAAQo6gFAAAAAAAAEKOoBQAAAAAAABCjqAUAAAAAAAAQo6gFAAAAAAAAEKOoBQAAAAAAABCjqAUAAAAAAAAQo6gFAA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       "text/plain": [
        "<Figure size 1200x600 with 1 Axes>"
       ]
@@ -631,13 +634,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 11,
    "id": "1443ecd5-4e87-4306-945a-64a9ed4f7c3e",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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4vxFKAQDgYZ07d1ZkZKTmz5+vq6++Wt98843TosuSFB0drc2bN6uoqMgpnLDv0BYdHV3m9cPCwkrsiCeVPrrKldEhp95v+/btTqNZ8vLylJycrO7du7t0HVfuU1RUpJ07dzqN5tm+fbtTO/vOfIWFhS7du1q1aurfv7/69++vvLw83XLLLXrhhRc0cuTIMoOiTz75RDk5OXrzzTdVu3Ztp3Pbt2/Xs88+q++++05XX321o/atW7eWei17/af7vQ0aNEijR49WSkqK3nvvvTM+U2nsI19O9euvvyo4ONgx2ig4OLjE5ykV9y0fHx9H0BMWFiapeLe5GjVqONqd6yg9+2ewY8cOpxE6+fn5Sk5OdgpnGzdurE2bNqlbt26n7aun1nqqsmrdvHmznnvuOd19991KSkrSvffeq59++qnE9MG/aty4sdOi8WU939l+d8/Gb7/9JmOM0+fz66+/SpJjF86yPjv7iMS6deu69D1q3LixnnzyST355JPasWOH2rZtq0mTJun9998/x6cAAFwoWFMKAAAP8/Hx0d/+9jf997//1XvvvaeCgoISO4n16tVLqampTmtPFRQU6PXXX1f16tXVpUuXMq/fuHFjpaenO02VS0lJ0aefflqibbVq1UoNsP6qe/fuslqtmjp1qtNIjVmzZik9Pb3cu8SVpWfPnpKkqVOnOh0/dTc9qXgUSb9+/fTxxx+XGhLYp6pJcux+aGe1WnXJJZfIGFNi18BTvf/++2rUqJEefPBB/e1vf3P6+cc//qHq1atr3rx5jva9evXSvn37tGjRIqfr5Obm6p133lHdunV12WWXlXm/xo0ba/LkyZowYYIuv/zyMtudTmJiomMtLUnau3evPvvsM8XFxcnX11e+vr6Ki4vTZ5995rSzWlpamj744ANdffXVjilb9sBi9erVjnbHjx/Xu+++e1a12XXo0EF16tTRjBkznHahnDt3bom+eNttt2n//v16++23S1wnOztbx48fl1Q8zax27dpOtUrS9OnTS7wvPz9fd911l6KiojRlyhTNnTtXaWlpGj58+Blr79evnzZt2lTqd8n+vTiX7+7ZOHDggFM9GRkZ+ve//622bds6Rj9Vq1ZNUsnQLj4+XjabTS+++GKp34VTp3zm5OQ4nWvcuLFCQkKUm5tbkY8DADjPMVIKAAA3+uKLLxwjIk515ZVXOo0w6t+/v15//XWNGTNGrVq1cqw3Y3f//ffrrbfe0l133aX169erYcOG+s9//qPvvvtOkydPVkhISJk1DBgwQCNGjNDNN9+sRx99VFlZWXrzzTfVrFkzp8BCktq3b6+vv/5ar776qqKiohQTE+NYaPlUderU0ciRIzVu3Dj16NFDN954o7Zv367p06erY8eOTouan4u2bdtq4MCBmj59utLT03XllVdq+fLljvWcTjVx4kStWLFCnTp10n333adLLrlEhw8f1oYNG/T111/r8OHDkqS4uDhFREToqquuUnh4uLZt26Zp06apd+/eZX6OBw4c0IoVK8pc/DogIEDx8fFauHChpk6dKn9/f91///2aPXu2br31Vt1zzz1q166d/vzzT82fP19btmzRv//9b6eFvUvz2GOPlfMTc3bppZcqPj5ejz76qAICAhyhzKnTFMePH6+EhARdffXVeuihh+Tn56e33npLubm5evnllx3t4uLi1KBBAw0dOlRPPfWUfH19NXv2bNWpU0d79uw56xr9/f01fvx4PfDAA7ruuuvUv39/JScna86cOSXWlLrjjju0YMECPfjgg1qxYoWuuuoqFRYW6pdfftGCBQv01VdfOdZwu/feezVx4kTde++96tChg1avXu0YMXSq8ePHKykpScuXL1dISIhat26t0aNH69lnn9Xf/vY39erVq8zan3rqKf3nP/9x/I7bt2+vw4cP6/PPP9eMGTPUpk2bc/runo1mzZpp6NChWrt2rcLDwzV79mylpaVpzpw5jjZt27aVr6+vXnrpJaWnpysgIEDXXXed6tatqzfffFN33HGHLrvsMg0YMMDx+12yZImuuuoqTZs2Tb/++qu6deum2267TZdccon8/Pz06aefKi0tTQMGDKjQ5wEAnOc8t/EfAADnrzlz5hhJZf78dav6oqIiU79+fSPJjB8/vtRrpqWlmbvvvtvUrl3bWK1W06pVK5e3vF+2bJm59NJLjdVqNc2bNzfvv/++GTNmjPnr/xT45ZdfTOfOnU1QUJCRZIYMGeL0PMnJyU7tp02bZlq0aGH8/f1NeHi4+fvf/26OHDni1KZLly6mZcuWJeocMmSIiY6OLvVZT5WdnW0effRRU6tWLVOtWjXTp08fs3fv3lKfMy0tzQwbNszUr1/f+Pv7m4iICNOtWzczc+ZMR5u33nrLdO7c2dSqVcsEBASYxo0bm6eeesqkp6eXWcOkSZOMJLN8+fIy28ydO9dIMp999pnj2JEjR8zw4cNNTEyM8ff3NzabzVx77bXmiy++KPF+++/jjz/+OO3nIckMGzbstG1Obff++++bpk2bmoCAANOuXTuzYsWKEm03bNhg4uPjTfXq1U1wcLC59tprzffff1+i3fr1602nTp2M1Wo1DRo0MK+++mqpfSM6Otr07t37jDWeavr06SYmJsYEBASYDh06mNWrV5suXbqYLl26OLXLy8szL730kmnZsqUJCAgwYWFhpn379mbcuHFOv8OsrCwzdOhQExoaakJCQsxtt91mDh486NRv1q9fb/z8/MwjjzzidI+CggLTsWNHExUVVaI//9Wff/5pHn74YXPRRRcZq9Vq6tWrZ4YMGWIOHTrkaOPKdzc5OdlIMq+88orT8RUrVhhJZuHChU7H7Z/72rVrHcfsn/tXX31lWrdubQICAkyLFi1KvNcYY95++23TqFEj4+vrayQ59YsVK1aY+Ph4ExoaagIDA03jxo3NXXfdZdatW2eMMebQoUNm2LBhpkWLFqZatWomNDTUdOrUySxYsOC0nxUAAH9lMaYCV0cEAABAlWCxWDRs2DBNmzbN06WgkjRs2FCXXnqpFi9e7OlSAABwCWtKAQAAAAAAoNIRSgEAAAAAAKDSEUoBAAAAAACg0rGmFAAAAAAAACodI6UAAAAAAABQ6QilAAAAAAAAUOkIpQAAAAAAAFDp/DxdwPmiqKhIBw4cUEhIiCwWi6fLAQAAAAAA8AhjjI4dO6aoqCj5+JQ9HopQqoIcOHBA9evX93QZAAAAAAAAVcLevXtVr169Ms8TSlWQkJAQScUfuM1m83A1J+Xn52vZsmWKi4uTv7+/p8vBeYS+BXeif8Fd6FtwJ/oX3IW+BXeif8EdMjIyVL9+fUdWUhaPhlKrV6/WK6+8ovXr1yslJUWffvqp+vbt6zhf1jS4l19+WU899ZQkqWHDhtq9e7fT+QkTJuj//u//HK83b96sYcOGae3atapTp44eeeQRPf30007vWbhwoUaNGqVdu3apadOmeumll9SrVy+Xn8Veq81mq3KhVHBwsGw2G3/BoELRt+BO9C+4C30L7kT/grvQt+BO9C+405mWN/LoQufHjx9XmzZt9MYbb5R6PiUlxeln9uzZslgs6tevn1O75557zqndI4884jiXkZGhuLg4RUdHa/369XrllVc0duxYzZw509Hm+++/18CBAzV06FBt3LhRffv2Vd++fbVlyxb3PDgAAAAAAMAFzqMjpXr27KmePXuWeT4iIsLp9WeffaZrr71WjRo1cjoeEhJSoq3dvHnzlJeXp9mzZ8tqtaply5ZKSkrSq6++qvvvv1+SNGXKFPXo0cMx+ur5559XQkKCpk2bphkzZpzLIwIAAAAAAKAUHh0pVR5paWlasmSJhg4dWuLcxIkTVatWLbVr106vvPKKCgoKHOcSExPVuXNnWa1Wx7H4+Hht375dR44ccbTp3r270zXj4+OVmJjopqcBAAAAAAC4sHnNQufvvvuuQkJCdMsttzgdf/TRR3XZZZepZs2a+v777zVy5EilpKTo1VdflSSlpqYqJibG6T3h4eGOc2FhYUpNTXUcO7VNampqmfXk5uYqNzfX8TojI0NS8Xzc/Pz8s3/QCmavpSrVhPMDfQvuRP+Cu9C34E70L7gLfcu7FBUVKT8/X8YYT5fikoKCAvn5+SkzM1N+fl4TEcCDLBaL/Pz85OvrW2YbV/++8poeN3v2bA0ePFiBgYFOx5944gnHn1u3bi2r1aoHHnhAEyZMUEBAgNvqmTBhgsaNG1fi+LJlyxQcHOy2+56thIQET5eA8xR9C+5E/4K70LfgTvQvuAt9q+rz9fVV7dq1vW7B8IiICP3++++eLgNepKioSMeOHdOxY8dKPZ+VleXSdbwilPr222+1fft2zZ8//4xtO3XqpIKCAu3atUvNmzdXRESE0tLSnNrYX9vXoSqrTVnrVEnSyJEjnQIx+3aHcXFxVW73vYSEBF1//fVe9xcjqjb6FtyJ/gV3oW/BnehfcBf6lncwxmj//v0qKChQZGSkfHy8Y7UcY4yOHz+uatWqnXGnNEAq7jNZWVn6448/1KxZsxIzz6STs8nOxCtCqVmzZql9+/Zq06bNGdsmJSXJx8dHdevWlSTFxsbqn//8p/Lz8x1/gSckJKh58+YKCwtztFm+fLkef/xxx3USEhIUGxtb5n0CAgJKHYnl7+9fJf8PRVWtC96PvgV3on/BXehbcCf6F9yFvlW15efnKycnR1FRUapevbqny3GZfbphUFCQ1wRp8Lxq1arJx8dHBw8eVGRkZImpfK7+XeXRHpeZmamkpCQlJSVJkpKTk5WUlKQ9e/Y42mRkZGjhwoW69957S7w/MTFRkydP1qZNm/T7779r3rx5Gj58uG6//XZH4DRo0CBZrVYNHTpUP//8s+bPn68pU6Y4jXJ67LHH9OWXX2rSpEn65ZdfNHbsWK1bt04PP/ywez8AAAAAAMB5obCwUJKcNtkCzmf2pYvOZb07j46UWrduna699lrHa3tQNGTIEM2dO1eS9NFHH8kYo4EDB5Z4f0BAgD766CONHTtWubm5iomJ0fDhw50Cp9DQUC1btkzDhg1T+/btVbt2bY0ePVr333+/o82VV16pDz74QM8++6yeeeYZNW3aVIsWLdKll17qpicHAAAAAJyPmAKHC0VF9HWPhlJdu3Y9444E999/v1OAdKrLLrtMP/zwwxnv07p1a3377benbXPrrbfq1ltvPeO1AAAAAAAAcO6YMAoAAAAAwAUuMTFRvr6+6t27t6dLOSsrV66UxWLR0aNHz9jupptuUmRkpKpVq6a2bdtq3rx5JdotXLhQLVq0UGBgoFq1aqWlS5c6nTfGaPTo0YqMjFRQUJC6d++uHTt2OLU5fPiwBg8eLJvNpho1amjo0KHKzMx0arN582Zdc801CgwMVP369fXyyy+Xq5b8/HyNGDFCrVq1UrVq1RQVFaU777xTBw4cKPX5c3Nz1bZtW1ksFsdSSuWppaIRSgEAAAAAcIGbPXu2HnnkEa1evbrMQON88P3336t169b6+OOPtXnzZt1999268847tXjxYqc2AwcO1NChQ7Vx40b17dtXffv21ZYtWxxtXn75ZU2dOlUzZszQmjVrVK1aNcXHxysnJ8fRZvDgwfr555+VkJCgxYsXa/Xq1U4zwTIyMhQXF6fo6GitX79er7zyisaOHauZM2e6XEtWVpY2bNigUaNGacOGDfrkk0+0fft23XjjjaU+/9NPP62oqKgSx12pxS0MKkR6erqRZNLT0z1dipO8vDyzaNEik5eX5+lScJ6hb8Gd6F9wF/oW3In+BXehb3mH7Oxss3XrVpOdnX3O1zpwNMt899sf5sDRrAqo7PQKCwvN3r17TfXq1c0vv/xi+vfvb1544YUS7T7//HPToUMHExAQYGrVqmX69u3rOJeTk2OefvppU69ePWO1Wk3jxo3NO++84zi/cuVK07FjR2O1Wk1ERIQZMWKEyc/Pd5yPjo42r732mtP92rRpY8aMGeN4Lcm8/fbbpm/fviYoKMg0adLEfPbZZ8YYY5KTk40kp58hQ4a4/Bn06tXL3H333Y7Xt912m+ndu7dTm06dOpkHHnjAGGNMUVGRiYiIMK+88orj/NGjR01AQID58MMPjTHGbN261Ugya9eudbT54osvjMViMfv37zfGGDN9+nQTFhZmcnNzHW1GjBhhmjdv7nItpfnxxx+NJLN7926n40uXLjUtWrQwP//8s5FkNm7c6DjnSi1/dbo+72pGwkgpAAAAAAAqmDFGWXkF5f55L3GXrpr4jQa9vUZXTfxG7yXuKvc1zBnWbv6rRYsWqUWLFmrevLluv/12zZ492+kaS5Ys0c0336xevXpp48aNWr58uS6//HLH+TvvvFMffvihpk6dqm3btumtt95S9erVJUn79+9Xr1691LFjR23atElvvvmmZs2apfHjx5f7Mx03bpxuu+02bd68Wb169dLgwYN1+PBh1a9fXx9//LEkafv27UpJSdGUKVNcvm56erpq1qzpeJ2YmKju3bs7tYmPj1diYqIkKTk5WampqU5tQkND1alTJ0ebxMRE1ahRQx06dHC06d69u3x8fLRmzRpHm86dOzvt2BgfH6/t27fryJEjLtVS1vNYLBbVqFHDcSwtLU333Xef3nvvPceueadypRZ38OhC5wAAAAAAnI+y8wt1yeivzukaRUYa9dnPGvXZz+V639bn4hVsdf2f+++9954GDx4sSerRo4fS09O1atUqde3aVZL0wgsvaMCAARo3bpzjPW3atJEk/frrr1qwYIESEhIc4UmjRo0c7aZPn6769etr2rRpslgsatGihQ4cOKARI0Zo9OjR8vFxfazMXXfdpYEDB0qSXnzxRU2dOlU//vijevTo4QiV6tat6xTGnMmCBQu0du1avfXWW45jqampCg8Pd2oXHh6u1NRUx3n7sdO1qVu3rtN5Pz8/1axZ06lNTExMiWvYz4WFhZ2xlr/KycnRiBEjNHDgQNlsNknFAeldd92lBx98UB06dNCuXbtKvM+VWtyBkVIAAAAAAFygtm/frg0bNmjAgAGSioOT/v37a9asWY42SUlJ6tatW6nvT0pKkq+vr7p06VLq+W3btik2NlYWi8Vx7KqrrlJmZqb27dtXrlpbt27t+HO1atVks9l08ODBcl3jVCtWrNDdd9+tt99+Wy1btjzr61QV+fn5uu2222SM0Ztvvuk4/vrrr+vYsWMaOXKkB6srHSOlAAAAAACoYEH+vtr6XHy53pOanqPur65S0Smz73ws0tdPdFFEaGC57u2q2bNnq6CgQPXq1XMcM8YoICBA06ZNU2hoqIKCgsq+12nOucrHx6fElMP8/PwS7fz9/Z1eWywWFRUVndU9V61apT59+ui1117TnXfe6XQuIiJCaWlpTsfS0tIUERHhOG8/FhkZ6dSmbdu2jjZ/DcwKCgp0+PBhp+uUdp9T73GmWuzsgdTu3bv1zTffOEZJSdI333yjxMREBQQEOL2nQ4cOGjx4sN59912XanEHRkqhyktJz9b3Ow8pJT3b06UAAAAAgEssFouCrX7l+mlUp7om3NJKvidGFflaLJpwSys1qlO9XNc5dVTS6RQUFOi9997T+PHjtWHDBiUlJSkpKUmbNm1SVFSUPvzwQ0nFI5SWL19e6jVatWqloqIirVq1qtTzF198sRITE51Cp++++04hISGOIKxOnTpKSUlxnM/IyFBycrJLz2BnXwupsLDwjG1Xrlyp3r1766WXXnLaDc8uNja2xPMmJCQoNjZWkhQTE6OIiAinNhkZGVqzZo2jTWxsrI4ePar169c72nzzzTcqKipSp06dHG1Wr17tFMAlJCSoefPmjulyZ6pFOhlI7dixQ19//bVq1arl1H7q1KnatGmT4/e7dOlSSdL8+fP1wgsvuFyLOzBSClXa/LV79H+f/CRjiv8/BBNuaaX+HRt4uiwAAAAAcIv+HRuoc7M62nUoSw1rBysy9NxHIpVl8eLFOnLkiG6//XbVr1/faX2nfv36adasWXrwwQc1ZswYdevWTY0bN9aAAQNUUFCgpUuXasSIEWrYsKGGDBmie+65R1OnTlWbNm20e/duHTx4ULfddpseeughTZ48WY888ogefvhhbd++XWPGjNETTzzhuN91112nuXPnqk+fPqpRo4ZGjx4tX1/XR3tJUnR0tCwWixYvXqxevXopKCjIsdj6qVasWKEbbrhBjz32mPr16+dYm8lqtTrWpXrsscfUpUsXTZo0Sb1799ZHH32kdevWaebMmZKKA8fHH39c48ePV9OmTRUTE6NRo0YpKipKffv2lVQcxvXo0UP33XefZsyYofz8fD388MMaMGCAoqKiJEmDBg3SuHHjNHToUI0YMUJbtmzRlClT9NprrznqPVMt+fn5+tvf/qYNGzZo8eLFKiwsdDxTzZo1ZbVa1aCB87+h7Z9L48aNHcGgK7W4xWn35oPLXN3usLJ58/axuw9lmoYjFpvoU34a/d+SStkWFWfmzX0LVR/9C+5C34I70b/gLvQt75CdnW22bt1qsrOzPV2Ky2644QbTs2dPc+TIEVNYWOh0bs2aNUaS2bRpkzHGmI8//ti0bdvWWK1WU7t2bXPLLbc42mZnZ5vhw4ebyMhIY7VaTZMmTczs2bMd51euXGk6duxorFariYiIMCNGjDD5+fmO8+np6aZ///7GZrOZ+vXrm7lz55o2bdqYMWPGONpIMp9++qlTjaGhoWbOnDmO188995yJiIgwFovFDBkypNRnHjJkiJFU4qdLly5O7RYsWGCaNWtmrFaradmypVmyZInT+aKiIjNq1CgTHh5uAgICTLdu3cz27dud2vz5559m4MCBpnr16sZms5m7777bHDt2zKnNpk2bzNVXX20CAgLMRRddZCZOnFii5tPVkpycXOrzSDIrVqwo9TOwv2fjxo3lruVUp+vzrmYkFmPKuVckSpWRkaHQ0FClp6c7zd30tPz8fC1dulS9evUqMf+2KkvLyNEds9bo17TMEuc+vO8KxTauVcq7UJm8tW/BO9C/4C70LbgT/QvuQt/yDjk5OUpOTlZMTIwCA11f/8nTioqKlJGRIZvNVq6d8IDT9XlXMxKm76HKWfP7nxr2wUYdyswtcc7XYlHD2sEeqAoAAAAAAFQkYlBUGcYYvfPt7xr0zhodysxVi4gQ/SO+ueO8j0V68ZZL3TqnGgAAAAAAVA5GSqFKOJ5boKc/3qwlm4t3XOjbNkov3tJKwVY/rd5+UD/uOqJnel3MIucAAAAAAJwnCKXgcb8dzNSD76/Xbwcz5edj0eg+l+iOK6Id25g2qFVNP+46otyCIg9XCgAAAAAAKgqhFDzqi59S9I+Fm3Q8r1DhtgBNH3yZ2kfXdGoTbguQVLz4OQAAAAAAOD8QSqFSpaRnK/nQcdUPC9L7P+zRW6t/lyR1iqmp1we1U92QkrtURNiKj6WmE0oBAAAAAHC+IJRCpZm/do9GfvKTiozz8fs7N9LT8c3l51v6uvvhJ0IpRkoBAAAAAHD+IJRCpUhJzy41kHrh5ks1uFP0ad97MpTKdVd5AAAAAACgkpU+NAWoYMmHjpcIpCSpUe3qZ3xvRGhxKPVHZq4KS7sIAAAAAADwOoRSqBQxtavJx+J8zNdiUcPawWd8b61qVvlYpMIioz8zGS0FAAAAAMD5gFAKlSIyNEjP9r7E8drHIr14y6WKDA0643v9fH1UJ6R4B75U1pUCAAAAgAqXmJgoX19f9e7d29OlnJWVK1fKYrHo6NGjZ2x30003KTIyUtWqVVPbtm01b968Eu0WLlyoFi1aKDAwUK1atdLSpUudzhtjNHr0aEVGRiooKEjdu3fXjh07nNocPnxYgwcPls1mU40aNTR06FBlZmY6tVmwYIHatm2r4OBgRUdH65VXXim15ssuu0wBAQFq0qSJ5s6d63R+9erV6tOnj6KiomSxWLRo0aJSn33btm268cYbFRoaqmrVqqljx47as2eP4/wDDzygxo0bKygoSHXq1NFNN92kX3755XQf5zkjlEKlaVCzeFRUVI1Affd/16l/xwYuv5cd+AAAAADAfWbPnq1HHnlEq1ev1oEDBzxdjtt8//33at26tT7++GNt3rxZd999t+68804tXrzYqc3AgQM1dOhQbdy4UX379lXfvn21ZcsWR5uXX35ZU6dO1YwZM7RmzRpVq1ZN8fHxysk5+W/WwYMH6+eff1ZCQoIWL16s1atX6/7773ec/+KLLzR48GA9+OCD2rJli6ZPn67XXntN06ZNc7RJTk5W7969de211yopKUmPP/647r33Xn311VeONsePH1ebNm30xhtvlPncO3fu1NVXX60WLVpo5cqV2rx5s0aNGqXAwEBHm/bt22vOnDnatm2bvvrqKxljFBcXp8LCwrP/wM/EoEKkp6cbSSY9Pd3TpTjJy8szixYtMnl5eZ4uxUz8YpuJHrHYPL1wU7nfe++7a030iMXm34m73FAZzkZV6ls4/9C/4C70LbgT/QvuQt/yDtnZ2Wbr1q0mOzv73C92dJ8xv68q/q+bFRYWmr1795rq1aubX375xfTv39+88MILJdp9/vnnpkOHDiYgIMDUqlXL9O3b13EuJyfHPP3006ZevXrGarWaxo0bm3feecdxfuXKlaZjx47GarWaiIgIM2LECJOfn+84Hx0dbV577TWn+7Vp08aMGTPG8VqSefvtt03fvn1NUFCQadKkifnss8+MMcYkJycbSU4/Q4YMcfkz6NWrl7n77rsdr2+77TbTu3dvpzadOnUyDzzwgDHGmKKiIhMREWFeeeUVx/mjR4+agIAA8+GHHxpjjNm6dauRZNauXeto88UXXxiLxWL2799vjDFm4MCB5m9/+5vTfaZOnWrq1atnioqKjDHGPP3006Zly5ZObfr372/i4+NLfRZJ5tNPPy1xvH///ub2228/7efwV5s2bTKSzG+//Vbq+dP1eVczEkZKodKs331EktQ+Oqzc77WPlEpjpBQAAAAAb2CMlHe8/D8/vi1NvlR6t0/xf398u/zXMOXbIGrRokVq0aKFmjdvrttvv12zZ8+WOeUaS5Ys0c0336xevXpp48aNWr58uS6//HLH+TvvvFMffvihpk6dqm3btumtt95S9erFm1rt379fvXr1UseOHbVp0ya9+eabmjVrlsaPH1/uj3TcuHG67bbbtHnzZvXq1UuDBw/W4cOHVb9+fX388ceSpO3btyslJUVTpkxx+brp6emqWbOm43ViYqK6d+/u1CY+Pl6JiYmSikcvpaamOrUJDQ1Vp06dHG0SExNVo0YNdejQwdGme/fu8vHx0Zo1ayRJubm5TiOVJCkoKEj79u3T7t27XarFFUVFRVqyZImaNWum+Ph41a1bV506dSpzmp9UPPpqzpw5iomJUf369V2+V3n5ue3KwCnyC4u0ae9RSdJlZxFKhduK15RKY00pAAAAAN4gP0t6MercrmGKpKX/KP4pj2cOSNZqLjd/7733NHjwYElSjx49lJ6erlWrVqlr166SpBdeeEEDBgzQuHHjHO9p06aNJOnXX3/VggULlJCQ4AhPGjVq5Gg3ffp01a9fX9OmTZPFYlGLFi104MABjRgxQqNHj5aPj+tjZe666y4NHDhQkvTiiy9q6tSp+vHHH9WjRw9HqFS3bl3VqFHD5WsuWLBAa9eu1VtvveU4lpqaqvDwcKd24eHhSk1NdZy3Hztdm7p16zqd9/PzU82aNR1t4uPjNXz4cN1111269tpr9dtvv2nSpEmSpJSUFDVs2LDMWjIyMpSdna2goDOv03zw4EFlZmZq4sSJGj9+vF566SV9+eWXuuWWW7RixQp16dLF0Xb69Ol6+umndfz4cTVv3lwJCQmyWq1nvMfZYqQUKsXWAxnKLShSjWB/Nart+l+OduH2NaUIpQAAAACgwmzfvl0bNmzQgAEDJBUHJ/3799esWbMcbZKSktStW7dS35+UlCRfX1+nYONU27ZtU2xsrCyWk9uxX3XVVcrMzNS+ffvKVWvr1q0df65WrZpsNpsOHjxYrmucasWKFbr77rv19ttvq2XLlmd9nbN133336eGHH9YNN9wgq9WqK664wvF7KE9YdyZFRUWSpJtuuknDhw9X27Zt9X//93+64YYbNGPGDKe2gwcP1saNG7Vq1So1a9ZMt912m9M6WRWNkVKoFI6pew3C5ONjOUPrkiJCT0zfI5QCAAAA4A38g4tHLJVHxgHpjcuLR0jZWXylYWskWzlGXfkHu9x09uzZKigoUL169RzHjDEKCAjQtGnTFBoaetrROK6M1DkTHx8fp+mCkpSfn1+inb+/v9Nri8XiCFzKa9WqVerTp49ee+013XnnnU7nIiIilJaW5nQsLS1NERERjvP2Y5GRkU5t2rZt62jz18CsoKBAhw8fdrzfYrHopZde0osvvqjU1FTVqVNHy5cvl3RytFlZtdhsNpc/+9q1a8vPz0+XXHKJ0/GLL75Y//vf/5yOhYaGKjQ0VE2bNtUVV1yhsLAwffrpp44RahWNkVKoFOv3FIdSZzN1Tzo5UiotI7fCagIAAAAAt7FYiqfQleendlOpz5TiIEoq/m+fycXHy3Mdi2sDAQoKCvTee+9p/Pjx2rBhg5KSkpSUlKRNmzYpKipKH374oaTiEUr2sOSvWrVqpaKiIq1atarU8xdffLESExOdQqfvvvtOISEhjiCsTp06SklJcZzPyMhQcnKyS89gZ59i5spOcStXrlTv3r310ksvOe2GZxcbG1vieRMSEhQbGytJiomJUUREhFObjIwMrVmzxtEmNjZWR48e1fr16x1tvvnmGxUVFalTp05O1/b19dVFF10kq9WqDz/8ULGxsapTp45LtbjCarWqY8eO2r59u9PxX3/9VdHR0WW+zxgjY4xyc93373BGSqFSbDiHRc6lk6FUena+cvILFejvW2G1AQAAAECVcdmdUuNu0uHfpZqNpNCL3HarxYsX68iRI7r99ttVv359pylj/fr106xZs/Tggw9qzJgx6tatmxo3bqwBAwaooKBAS5cu1YgRI9SwYUMNGTJE99xzj6ZOnao2bdpo9+7dOnjwoG677TY99NBDmjx5sh555BE9/PDD2r59u8aMGaMnnnjCcb/rrrtOc+fOVZ8+fVSjRg2NHj1avr7l+zdfdHS0LBaLFi9erF69eikoKMix2PqpVqxYoRtuuEGPPfaY+vXr51jfyWq1Otaleuyxx9SlSxdNmjRJvXv31kcffaR169Zp5syZkopHOD3++OMaP368mjZtqpiYGI0aNUpRUVHq27evpOIwrkePHrrvvvs0Y8YM5efn6+GHH9aAAQMUFVU86u3QoUP6z3/+o65duyonJ0dz5szRwoULnQK+Bx98UNOmTdPTTz+te+65R998840WLFigJUuWONpkZmbqt99+c7xOTk5WUlKSatasqQYNGkiSnnrqKfXv31+dO3fWtddeqy+//FL//e9/tXLlSknS77//rvnz5ysuLk516tTRvn37NHHiRAUFBalXr17l+l2US7n2A0SZXN3usLJVhe1j9x3JMtEjFptGI5eYrNyCs7pGUVGRaf7sUhM9YrFJ/iOzgivE2agKfQvnL/oX3IW+BXeif8Fd6FveITs722zdutVkZ2d7uhSX3XDDDaZnz57myJEjprCw0OncmjVrjCSzadMmY4wxH3/8sWnbtq2xWq2mdu3a5pZbbnG0zc7ONsOHDzeRkZHGarWaJk2amNmzZzvOr1y50nTs2NFYrVYTERFhRowYYfLz8x3n09PTTf/+/Y3NZjP169c3c+fONW3atDFjxoxxtJFkPv30U6caQ0NDzZw5cxyvn3vuORMREWEsFosZMmRIqc88ZMgQI6nET5cuXZzaLViwwDRr1sxYrVbTsmVLs2TJEqfzRUVFZtSoUSY8PNwEBASYbt26me3btzu1+fPPP83AgQNN9erVjc1mM3fffbc5duyY4/wff/xhrrjiClOtWjUTHBxsunXrZn744YcSNa9YscLx2Tdq1Mjpme3nS3umv34Gs2bNMk2aNDGBgYGmTZs2ZtGiRY5z+/fvNz179jR169Y1/v7+pl69embQoEHml19+KfVzNOb0fd7VjMRiTDn3ikSpMjIyFBoaqvT0dNlsNk+X45Cfn6+lS5eqV69eJebfVpbPNx3Qox9uVOt6ofr84avP+jpdX1mhXX9maf79V6hTo1oVWCHORlXoWzh/0b/gLvQtuBP9C+5C3/IOOTk5Sk5OVkxMjAIDAz1djsuKioqUkZEhm81WoYtr4/x3uj7vakZCj4Pb2afuXdbg7Kbu2bEDHwAAAAAA5w9CKbjd+nNcT8rOHkodZLFzAAAAAAC8HqEU3Corr0BbUzIknXsoFRHKSCkAAAAAAM4XhFJwq01701VYZBQZGqioGkHndK26IQGSCKUAAAAAADgfEErBrTbsObGe1DmOkpJOjpQ6SCgFAAAAAIDXI5SCWznWkzrHRc4lKYKFzgEAAABUcWxwjwtFRfR1Qim4TVGRcYyUOtf1pKSTC52nZeTyFz0AAACAKsXX11eSlJeX5+FKgMqRlZUlSfL39z/ra/hVVDHAX/1+6LiOZuUr0N9Hl0TZzvl6dW3Fa0rlFRTpaFa+wqpZz/maAAAAAFAR/Pz8FBwcrD/++EP+/v7y8fGOMSBFRUXKy8tTTk6O19QMzzLGKCsrSwcPHlSNGjUcgezZIJSC22w4MXWvTb0a8vc997/cAvx8FRbsryNZ+UrNyCGUAgAAAFBlWCwWRUZGKjk5Wbt37/Z0OS4zxig7O1tBQUGyWCyeLgdepEaNGoqIiDinaxBKwW0c60lVwNQ9u3BboI5k5SstI0cXR5776CsAAAAAqChWq1VNmzb1qil8+fn5Wr16tTp37nxO07BwYfH39z+nEVJ2hFJwm/UVuJ6UXURooH5JPaY0FjsHAAAAUAX5+PgoMDDQ02W4zNfXVwUFBQoMDCSUQqVjwijc4mhWnn47mClJalcBO+/ZhYecXOwcAAAAAAB4L0IpuMXGPUclSY3qVFPNClz7KTy0OJRKZaQUAAAAAABejVAKbuFYT6oCR0lJUviJHfjS0gmlAAAAAADwZoRScIt1uw9Lqtj1pCQpwnZi+t4xQikAAAAAALwZoRQqXH5hkTbtTZdU8aFU+IlQKjWdNaUAAAAAAPBmhFKocL+kHFN2fqFsgX5qXKd6hV7bHkr9eTxX+YVFFXptAAAAAABQeQilUOHWn5i6d1l0mHx8LBV67VrVrPL3tcgY6Y9jjJYCAAAAAMBbEUqhwq0/sfNeRS9yLkk+PhbVDWEHPgAAAAAAvB2hFCrcBvvOexW8npRd3RM78B0klAIAAAAAwGsRSqFCpaRna//RbPn6WNSmfg233CPCsdg5oRQAAAAAAN6KUAoVasPuo5KkiyNDVC3Azy33sC92nsaaUgAAAAAAeC1CKVSo9fape25YT8rOEUoxUgoAAAAAAK9FKIUKtX5PcSh1mZvWk5KkiNDiNaVY6BwAAAAAAO9FKIUKk5NfqJ/3p0ty3yLnkhR+Yve9NEIpAAAAAAC8lkdDqdWrV6tPnz6KioqSxWLRokWLnM7fddddslgsTj89evRwanP48GENHjxYNptNNWrU0NChQ5WZmenUZvPmzbrmmmsUGBio+vXr6+WXXy5Ry8KFC9WiRQsFBgaqVatWWrp0aYU/7/lu8750FRQZhdsCdFGNILfdJzzUHkqxphQAAAAAAN7Ko6HU8ePH1aZNG73xxhtltunRo4dSUlIcPx9++KHT+cGDB+vnn39WQkKCFi9erNWrV+v+++93nM/IyFBcXJyio6O1fv16vfLKKxo7dqxmzpzpaPP9999r4MCBGjp0qDZu3Ki+ffuqb9++2rJlS8U/9HnMsZ5UdJgsFovb7mNfUyozt0CZuQVuuw8AAAAAAHAf92yP5qKePXuqZ8+ep20TEBCgiIiIUs9t27ZNX375pdauXasOHTpIkl5//XX16tVL//rXvxQVFaV58+YpLy9Ps2fPltVqVcuWLZWUlKRXX33VEV5NmTJFPXr00FNPPSVJev7555WQkKBp06ZpxowZFfjE5zd7KHWZGxc5l6TqAX6qHuCnzNwCpWXkqHqd6m69HwAAAAAAqHgeDaVcsXLlStWtW1dhYWG67rrrNH78eNWqVUuSlJiYqBo1ajgCKUnq3r27fHx8tGbNGt18881KTExU586dZbVaHW3i4+P10ksv6ciRIwoLC1NiYqKeeOIJp/vGx8eXmE54qtzcXOXmnpw+lpGRIUnKz89Xfn5+RTx6hbDX4u6ajDFav/uwJKnNRSFuv1/dkABl5hZo/+FMNagR4NZ7oXSV1bdwYaJ/wV3oW3An+hfchb4Fd6J/wR1c7U9VOpTq0aOHbrnlFsXExGjnzp165pln1LNnTyUmJsrX11epqamqW7eu03v8/PxUs2ZNpaamSpJSU1MVExPj1CY8PNxxLiwsTKmpqY5jp7axX6M0EyZM0Lhx40ocX7ZsmYKDg8/qed0pISHBrdc/mC0dyfKTn8Voz6bvdeAnt95Ovnk+kny07NsfdeQX496b4bTc3bdwYaN/wV3oW3An+hfchb4Fd6J/oSJlZWW51K5Kh1IDBgxw/LlVq1Zq3bq1GjdurJUrV6pbt24erEwaOXKk0+iqjIwM1a9fX3FxcbLZbB6szFl+fr4SEhJ0/fXXy9/f3233+XjDfinpZ7VtEKYbb7jcbfexW5H1k3ZsSlFETAv16hxz5jegwlVW38KFif4Fd6FvwZ3oX3AX+hbcif4Fd7DPJjuTKh1K/VWjRo1Uu3Zt/fbbb+rWrZsiIiJ08OBBpzYFBQU6fPiwYx2qiIgIpaWlObWxvz5Tm7LWspKK17oKCCg5bczf379KfpHdXdem/cUdrn3DmpXy/BE1ikejHTqeXyU/7wtJVe3zOD/Qv+Au9C24E/0L7kLfgjvRv1CRXO1LHt19r7z27dunP//8U5GRkZKk2NhYHT16VOvXr3e0+eabb1RUVKROnTo52qxevdppPmNCQoKaN2+usLAwR5vly5c73SshIUGxsbHufqTzhmPnPTcvcm4XYSsOBNMycirlfgAAAAAAoGJ5NJTKzMxUUlKSkpKSJEnJyclKSkrSnj17lJmZqaeeeko//PCDdu3apeXLl+umm25SkyZNFB8fL0m6+OKL1aNHD91333368ccf9d133+nhhx/WgAEDFBUVJUkaNGiQrFarhg4dqp9//lnz58/XlClTnKbePfbYY/ryyy81adIk/fLLLxo7dqzWrVunhx9+uNI/E2+Unp2vX9MyJUmXRVdSKBUaKElKJZQCAAAAAMAreTSUWrdundq1a6d27dpJkp544gm1a9dOo0ePlq+vrzZv3qwbb7xRzZo109ChQ9W+fXt9++23TtPm5s2bpxYtWqhbt27q1auXrr76as2cOdNxPjQ0VMuWLVNycrLat2+vJ598UqNHj9b999/vaHPllVfqgw8+0MyZM9WmTRv95z//0aJFi3TppZdW3ofhxTbuKR4l1bBWsGpXr5yd8OraikOpgxm5Z2gJAAAAAACqIo+uKdW1a1cZU/bOaV999dUZr1GzZk198MEHp23TunVrffvtt6dtc+utt+rWW2894/1Q0gb71L3ompV2z4gToVRaRo6Kiox8fCyVdm8AAAAAAHDuvGpNKVRN6/fYQ6nKmbonSXVCAmSxSAVFRn8ez6u0+wIAAAAAgIpBKIVzUlBYpKQ9RyVVbijl7+ujWtVY7BwAAAAAAG9FKIVzsj3tmI7nFSokwE9N61av1HtHhBJKAQAAAADgrQilcE7s60m1iw6r9HWdwkPs60qx2DkAAAAAAN6GUArnZL19kfMGlTd1zy48tDiUSmWkFAAAAAAAXodQCudkza7DkqSGtYMr/d6OkVLphFIAAAAAAHgbQimctbdX/66Uo8WB0PD5SZq/dk+l3t+xptQxQikAAAAAALwNoRTOSkp6tl5cus3xushIz3yyRSnp2ZVWQ7jtxPQ9RkoBAAAAAOB1CKVwVpIPHZf5y7FCY7TrUFal1WAPpQ4eY6FzAAAAAAC8DaEUzkpM7WoljvlaLJW6tlTEiVDq8PE85RYUVtp9AQAAAADAuSOUwlmJDA3SJZE2x2tfi0Uv3nKpIkODKq2GGsH+svoVd+GDGYyWAgAAAADAm/h5ugB4L39fiyTpyeub6W8d6lVqICVJFotF4bYA7T2crbSMHNWvWfk7AAIAAAAAgLPDSCmctdSM4gXGuzSvU+mBlJ19Cp+9FgAAAAAA4B0IpXBWCouM/jixwLh9wXFPqMsOfAAAAAAAeCVCKZyVQ5m5KjKSr49FtasHeKyOCHbgAwAAAADAKxFK4azYRybVqR4gXx+Lx+qIYKQUAAAAAABeiVAKZyXtxBpO4TbPjZKSpLon7p/GmlIAAAAAAHgVQimclZOhlOfWk5JOjpQilAIAAAAAwLsQSuGs2He7iwj1bCgVfsrue8YYj9YCAAAAAABcRyiFs5KW4fmd96SToVhOfpEycgo8WgsAAAAAAHAdoRTOSlWZvhfo76vQIH9JTOEDAAAAAMCbEErhrNh3u4vwcCglnVxsnVAKAAAAAADvQSiFs1JVdt8rruHEulLphFIAAAAAAHgLQimUW3ZeoWP9pnAPL3QunQylGCkFAAAAAID3IJRCudl33gu2+iokwM/D1ZycQmhffB0AAAAAAFR9hFIoN/uIpAhboCwWi4erOTlaK5WRUgAAAAAAeA1CKZSbPZSqWwXWk5Kk8JDiOg4SSgEAAAAA4DUIpVBuVWnnPUmKYKQUAAAAAABeh1AK5WYPf6rCIufSyYXO/ziWq4LCIg9XAwAAAAAAXEEohXI7eGJB8fCQqhFK1a4eIF8fi4qM9OfxPE+XAwAAAAAAXEAohXKzj5SKqCIjpXx9LKpTvXhdKfvUQgAAAAAAULURSqHc7MFPeBVZU0qSwk8sup7GulIAAAAAAHgFQimUizFGB4/ZQ6mqsfuedDIgI5QCAAAAAMA7EEqhXA4fz1N+oZEk1a0ia0pJJ0MpduADAAAAAMA7EEqhXOyhT+3qVln9qk73sa9vlXZiEXYAAAAAAFC1VZ1UAV7BvvNeVRolJTF9DwAAAAAAb0MohXKpajvv2bHQOQAAAAAA3oVQCuVSFXfek6QI+5pS6YRSAAAAAAB4A0IplEtV3HlPkuqeCKUycgqUnVfo4WoAAAAAAMCZEEqhXOwjkSKq2EgpW6Cfgvx9JTGFDwAAAAAAb0AohXJJPbHQeXgVW1PKYrE41rlKJZQCAAAAAKDKI5RCuRw8EfiEV7Hd9ySpbgiLnQMAAAAA4C0IpeCy3IJC/Xk8T1LV231POlkToRQAAAAAAFUfoRRcdvDE1D2rn4/Cgv09XE1J4Y4d+HI9XAkAAAAAADgTQim47NSd9ywWi4erKckeSqUdY6QUAAAAAABVHaEUXGYfgVQV15OSTu4ImJZOKAUAAAAAQFVHKAWX2Xe1q2o779mF24oXOmf3PQAAAAAAqj5CKbjMvvOefURSVWOfvncwI1fGGA9XAwAAAAAATodQCi5zjJQ6MSKpqql7oq68wiIdycr3cDUAAAAAAOB0CKXgstR0eyhVNUdKBfj5qmY1qyQpjSl8AAAAAABUaYRScNnBY8ULnVfV6XvSycCMdaUAAAAAAKjaCKXgEmNMlR8pJZ2cWsgOfAAAAAAAVG2EUnBJRk6BsvMLJUkRVXT3PenkKK60jFwPVwIAAAAAAE6HUAouse+8Fxrkr0B/Xw9XUzam7wEAAAAA4B0IpeCSqr7znp09lDpIKAUAAAAAQJVGKAWXeMN6UpIUEVocmjFSCgAAAACAqs2jodTq1avVp08fRUVFyWKxaNGiRY5z+fn5GjFihFq1aqVq1aopKipKd955pw4cOOB0jYYNG8pisTj9TJw40anN5s2bdc011ygwMFD169fXyy+/XKKWhQsXqkWLFgoMDFSrVq20dOlStzyzt0o7EfJU5Z33JKluiH1NKUIpAAAAAACqMo+GUsePH1ebNm30xhtvlDiXlZWlDRs2aNSoUdqwYYM++eQTbd++XTfeeGOJts8995xSUlIcP4888ojjXEZGhuLi4hQdHa3169frlVde0dixYzVz5kxHm++//14DBw7U0KFDtXHjRvXt21d9+/bVli1b3PPgXsi+cHjVHylVXN+hzDzlFxZ5uBoAAAAAAFAWP0/evGfPnurZs2ep50JDQ5WQkOB0bNq0abr88su1Z88eNWjQwHE8JCREERERpV5n3rx5ysvL0+zZs2W1WtWyZUslJSXp1Vdf1f333y9JmjJlinr06KGnnnpKkvT8888rISFB06ZN04wZMyriUb2eY02pKrzzniTVDLbK39ei/EKjg8dydVGNIE+XBAAAAAAASuFVa0qlp6fLYrGoRo0aTscnTpyoWrVqqV27dnrllVdUUFDgOJeYmKjOnTvLarU6jsXHx2v79u06cuSIo0337t2drhkfH6/ExET3PYyX8Zbpez4+FqbwAQAAAADgBTw6Uqo8cnJyNGLECA0cOFA2m81x/NFHH9Vll12mmjVr6vvvv9fIkSOVkpKiV199VZKUmpqqmJgYp2uFh4c7zoWFhSk1NdVx7NQ2qampZdaTm5ur3Nxcx+uMjAxJxWth5efnn9vDViB7LedaU9qJhc5rBftWqecrTd0Qq/Yfzdb+w8fVKrK6p8s5b1VU3wJKQ/+Cu9C34E70L7gLfQvuRP+CO7jan7wilMrPz9dtt90mY4zefPNNp3NPPPGE48+tW7eW1WrVAw88oAkTJiggIMBtNU2YMEHjxo0rcXzZsmUKDg52233P1l+nQpZHoZEOHvOVZNGWtd9p76aKq8sdio77SPLRih82qGi38XQ5571z6VvAmdC/4C70LbgT/QvuQt+CO9G/UJGysrJcalflQyl7ILV792598803TqOkStOpUycVFBRo165dat68uSIiIpSWlubUxv7avg5VWW3KWqdKkkaOHOkUiGVkZKh+/fqKi4s7Y42VKT8/XwkJCbr++uvl7+9/VtdIzciR+WG1fH0suu3GnvL1sVRwlRVrvflFm37Yo7yQKLW7qrkiXVgHKyU9R7v/zFJ0rWCX2qNi+hZQFvoX3IW+BXeif8Fd6FtwJ/oX3ME+m+xMqnQoZQ+kduzYoRUrVqhWrVpnfE9SUpJ8fHxUt25dSVJsbKz++c9/Kj8/3/EFS0hIUPPmzRUWFuZos3z5cj3++OOO6yQkJCg2NrbM+wQEBJQ6Esvf379KfpHPpa7DWcclSXVDAhQYYD1Da8/7IzNPkrT4pzQt3ZKmCbe0Uv+ODcpsP3/tHo385CcVGcnHojO2h7Oq2udxfqB/wV3oW3An+hfchb4Fd6J/oSK52pc8GkplZmbqt99+c7xOTk5WUlKSatasqcjISP3tb3/Thg0btHjxYhUWFjrWeKpZs6asVqsSExO1Zs0aXXvttQoJCVFiYqKGDx+u22+/3RE4DRo0SOPGjdPQoUM1YsQIbdmyRVOmTNFrr73muO9jjz2mLl26aNKkSerdu7c++ugjrVu3TjNnzqzcD6SKsu+8V7eKL3IuSSnp2fpyy8m1wIqMNOLjn/TFT6kK9Pct0T4nv1Arf/3Dqf0zn2xR52Z1FBnKzn0AAAAAALiLR0OpdevW6dprr3W8tk+HGzJkiMaOHavPP/9cktS2bVun961YsUJdu3ZVQECAPvroI40dO1a5ubmKiYnR8OHDnabVhYaGatmyZRo2bJjat2+v2rVra/To0br//vsdba688kp98MEHevbZZ/XMM8+oadOmWrRokS699FI3Pr33OLnznvvW6KooyYeOq7RVpE4Nns6k0BjtOpRFKAUAAAAAgBt5NJTq2rWrjCl7IerTnZOkyy67TD/88MMZ79O6dWt9++23p21z66236tZbbz3jtS5EJ0Opqj9SKqZ2NflYikc82Vks0pNxzRUaVHL4YHp2viZ9td0pyPK1WNSwdtVbrB4AAAAAgPNJlV5TClVDanquJO+YvhcZGqQJt7TSM59sUaEx8rVY9OItl552jag61a2ONaUk6emezRklBQAAAACAmxFK4Yy8aaSUJPXv2ECdm9XRrkNZalg7+IwBk739XbN/1Pa0TJU6/w8AAAAAAFQoH08XgKrPEUqFekcoJRWPmIptXMvlEU+RoUG688qGkqRFSQfcWBkAAAAAAJAIpeAC++574V6w0Pm56N0qUv6+Fm1LydAvqRmeLgcAAAAAgPMaoRROKyuvQMdyCiRJ4V4yfe9s1Qi26trmdSVJizYyWgoAAAAAAHcilMJppWUUL3JezeqrkMCSu9edb25ud5Ek6bOk/SoqYnEpAAAAAADchVAKp5Wabp+6d36PkrK7tkVdhQT6KSU9R2uSD3u6HAAAAAAAzluEUjittIwLK5QK9PdVr0sjJUmLNu73cDUAAAAAAJy/CKVwWt6489656ntiCt/SLSnKyS/0cDUAAAAAAJyfCKVwWvad9+qe5zvvnapTTE1FhgbqWE6BVvxy0NPlAAAAAABwXiKUwmk5RkpdINP3JMnHx6Kb2haPlvqUKXwAAAAAALgFoRROy7773oUUSkknd+Fbsf2gjmblebgaAAAAAADOP4RSOC377nt1L7BQqnlEiC6OtCm/0GjJTymeLgcAAAAAgPMOoRTKVFRkdPDYhbfQud3N7aIksQsfAAAAAADuQCiFMh3JylN+oZHFItUNuXAWOre7sc1FsliktbuOaO/hLE+XAwAAAADAeYVQCmWy77xXq1qA/H0vvK4SERqo2Ea1JEmfbzrg4WoAAAAAADi/XHhJA1xm33kv3HbhjZKy63tiwfNPNuyTMcbD1QAAAAAAcP4glEKZUtMvzJ33TtXj0ggF+Plo5x/H9fOBDE+XAwAAAADAeYNQCmVyjJS6ABc5t7MF+qv7JeGSpE9Z8BwAAAAAgApDKIUyOUKpkAs3lJKkm9sWT+H7fNMBFRQWebgaAAAAAADOD4RSKJN9ofOI0At3TSlJ6tysjmoE++uPY7n6fuefni4HAAAAAIDzAqEUypSWUbymVPgFvKaUJFn9fHRD60hJ0qIkpvABAAAAAFARCKVQppO7713YoZQk3XxiF76vtqQqK6/Aw9UAAAAAAOD9CKVQqtyCQh0+nifpwt59z+6yBmGqXzNIx/MKlbA1zdPlAAAAAADg9QilUKqDJ6buWf18VCPY38PVeJ7FYnEseL6IXfgAAAAAADhnhFIo1cmpewGyWCwerqZquOnEFL7VOw7pUGauh6sBAAAAAMC7EUqhVI6d95i659C4TnW1rheqwiKjxZsOeLocAAAAAAC8GqEUSsXOe6Xre2IK36dJhFIAAAAAAJwLQimUip33StenTZR8fSzatPeokg8d93Q5AAAAAAB4LUIplCo1nel7pakTEqCrm9SWxILnAAAAAACcC0IplMoxUiqUUOqvbj6x4PmipP0yxni4GgAAAAAAvBOhFErlCKVCAjxcSdUT1zJcwVZf7f4zS//+YbdS0rM9XRIAAAAAAF6HUAolGGNO7r7HSKkSgq1+ah4RIkka89nPumriN5q/do+HqwIAAAAAwLsQSqGEjJwC5eQXSWKh89KkpGcrae9Rx+siIz3zyRZGTAEAAAAAUA6EUijBPnWvRrC/Av19PVxN1ZN86Lj+upRUoTHadSjLMwUBAAAAAOCFCKVQgn3nvfAQRkmVJqZ2NflYnI/5WixqWDvYMwUBAAAAAOCFCKVQAjvvnV5kaJAm3NLK8drHIr14y6WKDA3yYFUAAAAAAHgXQimUYA+lImzsvFeW/h0bqG39GpKkMTe2VP+ODTxbEAAAAAAAXoZQCiXYd95jkfPTqxtSHNr5WCxnaAkAAAAAAP6KUAolpGXkSiKUOpPQIH9JUkZ2vocrAQAAAADA+xBKoYST0/cIpU6HUAoAAAAAgLNHKIUSHLvvEUqdlu1EKJVOKAUAAAAAQLkRSsFJQWGRDmWemL4XykLnp+MYKZVDKAUAAAAAQHkRSsHJocw8FRnJ18ei2tUIpU4nlJFSAAAAAACcNUIpOLHvvFc3JEA+Puwqdzq2ID9JhFIAAAAAAJwNQik4YT0p151c6LzAw5UAAAAAAOB9CKXg5OAxdt5zFdP3AAAAAAA4e4RScHJypBTrSZ2JLfDkQudFRcbD1QAAAAAA4F0IpeDEvqZUeCgjpc7EdmKklDHSsVym8AEAAAAAUB6EUnCy93CWJCnQj65xJoH+vgo48TllMIUPAAAAAIByIXmAw/y1e7R21xFJ0vNLtmn+2j0erqjqY10pAAAAAADODqEUJEkp6dka+clPjtfGSM98skUp6dkerKrqszl24COUAgAAAACgPPxcbejr6+tSu8LCwrMuBp6TfOi4/rpWd6Ex2nUoS5GhQZ4pygvYR0pl5BBKAQAAAABQHi6HUsYYRUdHa8iQIWrXrp07a4IHxNSuJh+LnIIpX4tFDWsHe64oL8D0PQAAAAAAzo7LodSPP/6oWbNmacqUKYqJidE999yjwYMHKywszJ31oZJEhgZpwi2t9MwnW1RojHwtFr14y6WMkjoDW2DxV4hQCgAAAACA8nE5lOrQoYM6dOig1157Tf/5z380Z84cjRgxQn369NHQoUN1/fXXu7NOVIL+HRuoc7M62nUoSw1rBxNIucAxfS+7wMOVAAAAAADgXcq90HlgYKBuv/12LV++XFu2bNHBgwfVo0cPHT582B31oZJFhgYptnEtAikXMX0PAAAAAICzc1a77+3bt0/jx4/X9ddfr19++UVPPfWUbDZbua+zevVq9enTR1FRUbJYLFq0aJHTeWOMRo8ercjISAUFBal79+7asWOHU5vDhw9r8ODBstlsqlGjhoYOHarMzEynNps3b9Y111yjwMBA1a9fXy+//HKJWhYuXKgWLVooMDBQrVq10tKlS8v9PLjw2AilAAAAAAA4Ky6HUnl5eZo/f77i4uLUtGlTbdiwQZMnT9bevXs1ceJE+fm5PBPQ4fjx42rTpo3eeOONUs+//PLLmjp1qmbMmKE1a9aoWrVqio+PV05OjqPN4MGD9fPPPyshIUGLFy/W6tWrdf/99zvOZ2RkKC4uTtHR0Vq/fr1eeeUVjR07VjNnznS0+f777zVw4EANHTpUGzduVN++fdW3b19t2bKl3M+ECwuhFAAAAAAAZ8flJCkyMlIhISEaMmSIpk+frrp160oqDpZOVZ4RUz179lTPnj1LPWeM0eTJk/Xss8/qpptukiT9+9//Vnh4uBYtWqQBAwZo27Zt+vLLL7V27Vp16NBBkvT666+rV69e+te//qWoqCjNmzdPeXl5mj17tqxWq1q2bKmkpCS9+uqrjvBqypQp6tGjh5566ilJ0vPPP6+EhARNmzZNM2bMcPl5cOFxrCmVQygFAAAAAEB5uBxKHTlyREeOHNHzzz+v8ePHlzhvjJHFYlFhYWGFFJacnKzU1FR1797dcSw0NFSdOnVSYmKiBgwYoMTERNWoUcMRSElS9+7d5ePjozVr1ujmm29WYmKiOnfuLKvV6mgTHx+vl156SUeOHFFYWJgSExP1xBNPON0/Pj6+xHTCU+Xm5io3N9fxOiMjQ5KUn5+v/PyqE1DYa6lKNZ1PqvlbJEnpWXkX3GdM34I70b/gLvQtuBP9C+5C34I70b/gDq72J5dDqRUrVpx1MWcjNTVVkhQeHu50PDw83HEuNTXVMWLLzs/PTzVr1nRqExMTU+Ia9nNhYWFKTU097X1KM2HCBI0bN67E8WXLlik4ONiVR6xUCQkJni7hvLT/uCT56WD68Qt2HTL6FtyJ/gV3oW/BnehfcBf6FtyJ/oWKlJWV5VI7l0OpLl26nHUx56ORI0c6ja7KyMhQ/fr1FRcXd1aLvrtLfn6+EhISdP3118vf39/T5Zx3DhzN1subv1VukY969oyTxWLxdEmVhr4Fd6J/wV3oW3An+hfchb4Fd6J/wR3ss8nOxOVQavPmzaUeDw0NVYMGDSr8H+MRERGSpLS0NEVGRjqOp6WlqW3bto42Bw8edHpfQUGBDh8+7Hh/RESE0tLSnNrYX5+pjf18aQICAhQQEFDiuL+/f5X8IlfVurxdLVtxv88vNCqUr4L8fT1cUeWjb8Gd6F9wF/oW3In+BXehb8Gd6F+oSK72JZd332vbtq3atWuntm3bOv00atRI1atX1z//+c8KW09KkmJiYhQREaHly5c7jmVkZGjNmjWKjY2VJMXGxuro0aNav369o80333yjoqIiderUydFm9erVTvMZExIS1Lx5c4WFhTnanHofexv7fYCyVLP6ytfnxLpS7MAHAAAAAIDLXB4plZycXOpxeyg0atQohYWF6R//+IfLN8/MzNRvv/3mdI+kpCTVrFlTDRo00OOPP67x48eradOmiomJ0ahRoxQVFaW+fftKki6++GL16NFD9913n2bMmKH8/Hw9/PDDGjBggKKioiRJgwYN0rhx4zR06FCNGDFCW7Zs0ZQpU/Taa6857vvYY4+pS5cumjRpknr37q2PPvpI69at08yZM11+FlyYLBaLbIF+OpKVr4ycfEWEBnq6JAAAAAAAvILLoVR0dHSZx9u0aSObzaZx48aVK5Rat26drr32Wsdr+xpNQ4YM0dy5c/X000/r+PHjuv/++3X06FFdffXV+vLLLxUYePIf/vPmzdPDDz+sbt26ycfHR/369dPUqVMd50NDQ7Vs2TINGzZM7du3V+3atTV69Gjdf//9jjZXXnmlPvjgAz377LN65pln1LRpUy1atEiXXnqpy8+CC1dokL+OZOUzUgoAAAAAgHJwOZQ6k/bt25c5mqosXbt2lTGmzPMWi0XPPfecnnvuuTLb1KxZUx988MFp79O6dWt9++23p21z66236tZbbz19wUApbEHFc2XTswilAAAAAABwlctrSp1Jamqq6tSpU1GXA7xG6IlQKiOHUAoAAAAAAFdVSCj1xx9/aNSoUU5T8YALhWOkFNP3AAAAAABwmcvT99q1ayeLxVLieHp6uvbt26fmzZvr/fffr9DiAG9gCySUAgAAAACgvFwOpew73v2VzWZT8+bNFR8fL19f34qqC/AaoYyUAgAAAACg3FwOpcaMGXPGNoWFhQRTuOA41pTKLvBwJQAAAAAAeI8KWVPq119/1dNPP6169epVxOUAr8JIKQAAAAAAyu+sQ6msrCzNmTNH11xzjS655BKtXr1aTzzxREXWBngFW1DxgMMMQikAAAAAAFzm8vQ9ux9++EHvvPOOFi5cqAYNGmjbtm1asWKFrrnmGnfUB1R5jul7OYRSAAAAAAC4yuWRUpMmTVLLli31t7/9TWFhYVq9erV++uknWSwW1apVy501AlUa0/cAAAAAACg/l0dKjRgxQiNGjNBzzz3HYubAKWyBhFIAAAAAAJSXyyOlnn/+eS1cuFAxMTEaMWKEtmzZ4s66AK9hHymVlVeo/MIiD1cDAAAAAIB3cDmUGjlypH799Ve99957Sk1NVadOndSmTRsZY3TkyBF31ghUaSGBJwccstg5AAAAAACuKffue126dNG7776r1NRUPfTQQ2rfvr26dOmiK6+8Uq+++qo7agSqND9fH1UPKA6mmMIHAAAAAIBryh1K2YWEhOiBBx7QmjVrtHHjRl1++eWaOHFiRdYGeA0WOwcAAAAAoHzOOpQ6VatWrTR58mTt37+/Ii4HeB3biVAqI6fAw5UAAAAAAOAdKiSUsvP396/IywFeIzSI6XsAAAAAAJRHhYZSwIXKFsj0PQAAAAAAyoNQCqgA9jWl2H0PAAAAAADXEEoBFYBQCgAAAACA8jmnUKp3795KSUmpqFoAr2Vj9z0AAAAAAMrlnEKp1atXKzs7u6JqAbyWY6RUDqEUAAAAAACuYPoeUAFCGSkFAAAAAEC5nFMoFR0dLX9//4qqBfBatiA/SYRSAAAAAAC4yu9c3rxly5aKqgPwaicXOi/wcCUAAAAAAHgHpu8BFYDpewAAAAAAlA+hFFABbIEnFzovKjIergYAAAAAgKqPUAqoALYTI6WMkY7lMoUPAAAAAIAzIZQCKkCgv68C/Iq/ThlM4QMAAAAA4IzKHUqNGTNGu3fvdkctgFdjXSkAAAAAAFxX7lDqs88+U+PGjdWtWzd98MEHys3NdUddgNexOXbgI5QCAAAAAOBMyh1KJSUlae3atWrZsqUee+wxRURE6O9//7vWrl3rjvoAr2EfKZWRQygFAAAAAMCZnNWaUu3atdPUqVN14MABzZo1S/v27dNVV12l1q1ba8qUKUpPT6/oOoEqj+l7AAAAAAC47pwWOjfGKD8/X3l5eTLGKCwsTNOmTVP9+vU1f/78iqoR8Aq2QD9JhFIAAAAAALjirEKp9evX6+GHH1ZkZKSGDx+udu3aadu2bVq1apV27NihF154QY8++mhF1wpUaY7pe9kFHq4EAAAAAICqr9yhVKtWrXTFFVcoOTlZs2bN0t69ezVx4kQ1adLE0WbgwIH6448/KrRQoKpj+h4AAAAAAK7zK+8bbrvtNt1zzz266KKLymxTu3ZtFRUVnVNhgLexEUoBAAAAAOCyco+Usq8d9VfZ2dl67rnnKqQowBsRSgEAAAAA4Lpyh1Ljxo1TZmZmieNZWVkaN25chRQFeCPHmlI5hFIAAAAAAJzJWY2UslgsJY5v2rRJNWvWrJCiAG/EmlIAAAAAALjO5TWlwsLCZLFYZLFY1KxZM6dgqrCwUJmZmXrwwQfdUiTgDWyB9t33CKUAAAAAADgTl0OpyZMnyxije+65R+PGjVNoaKjjnNVqVcOGDRUbG+uWIgFvEBpsD6UKyhxRCAAAAAAAirkcSg0ZMkSSFBMToyuvvFL+/v5uKwrwRvbpe3mFRcrJL1KQ1dfDFQEAAAAAUHW5FEplZGTIZrNJktq1a6fs7GxlZ2eX2tbeDrjQVLP6ytfHosIio/TsfEIpAAAAAABOw6VQKiwsTCkpKapbt65q1KhR6rQk+3SlwsLCCi8S8AYWi0W2QD8dycpXRk6+IkIDPV0SAAAAAABVlkuh1DfffOPYWW/FihVuLQjwZqFB/jqSlc8OfAAAAAAAnIFLoVSXLl0cf46JiVH9+vVLjJYyxmjv3r0VWx3gZWwn1pVKzyKUAgAAAADgdHzK+4aYmBj98ccfJY4fPnxYMTExFVIU4K3si51n5BBKAQAAAABwOuUOpcra6j4zM1OBgayhgwubY6QU0/cAAAAAADgtl6bvSdITTzwhqXgx51GjRik4ONhxrrCwUGvWrFHbtm0rvEDAm4QSSgEAAAAA4BKXQ6mNGzdKKh4p9dNPP8lqtTrOWa1WtWnTRv/4xz8qvkLAi9gCCaUAAAAAAHCFy6GUfde9u+++W1OmTJHNZnNbUYC3cqwplV3g4UoAAAAAAKjaXA6l7ObMmeOOOoDzAtP3AAAAAABwTblDqePHj2vixIlavny5Dh48qKKiIqfzv//+e4UVB3gbW1DxVyqDUAoAAAAAgNMqdyh17733atWqVbrjjjsUGRlZ6k58wIXKMX0vh1AKAAAAAIDTKXco9cUXX2jJkiW66qqr3FEP4NWYvgcAAAAAgGt8yvuGsLAw1axZ0x21AF6P3fcAAAAAAHBNuUOp559/XqNHj1ZWVpY76imhYcOGslgsJX6GDRsmSeratWuJcw8++KDTNfbs2aPevXsrODhYdevW1VNPPaWCAufd0VauXKnLLrtMAQEBatKkiebOnVspz4fzi32kVFZeofILi87QGgAAAACAC1e5p+9NmjRJO3fuVHh4uBo2bCh/f3+n8xs2bKiw4iRp7dq1KiwsdLzesmWLrr/+et16662OY/fdd5+ee+45x+vg4GDHnwsLC9W7d29FRETo+++/V0pKiu688075+/vrxRdflCQlJyerd+/eevDBBzVv3jwtX75c9957ryIjIxUfH1+hz4PzW0jgya9URna+alUP8GA1AAAAAABUXeUOpfr27euGMspWp04dp9cTJ05U48aN1aVLF8ex4OBgRURElPr+ZcuWaevWrfr6668VHh6utm3b6vnnn9eIESM0duxYWa1WzZgxQzExMZo0aZIk6eKLL9b//vc/vfbaa4RSKBc/Xx9VD/BTZm6B0gmlAAAAAAAoU7lDqTFjxrijDpfk5eXp/fff1xNPPOG069+8efP0/vvvKyIiQn369NGoUaMco6USExPVqlUrhYeHO9rHx8fr73//u37++We1a9dOiYmJ6t69u9O94uPj9fjjj5dZS25urnJzcx2vMzIyJEn5+fnKz6866wnZa6lKNZ3vbIHFodSfx7JVv8b5G0rRt+BO9C+4C30L7kT/grvQt+BO9C+4g6v9qdyhlCctWrRIR48e1V133eU4NmjQIEVHRysqKkqbN2/WiBEjtH37dn3yySeSpNTUVKdASpLjdWpq6mnbZGRkKDs7W0FBQSVqmTBhgsaNG1fi+LJly5ymD1YVCQkJni7hgmHJ95Vk0fJvE3WghvF0OW5H34I70b/gLvQtuBP9C+5C34I70b9QkVxdh7zcoVRhYaFee+01LViwQHv27FFeXp7T+cOHD5f3ki6bNWuWevbsqaioKMex+++/3/HnVq1aKTIyUt26ddPOnTvVuHFjt9UycuRIPfHEE47XGRkZql+/vuLi4mSz2dx23/LKz89XQkKCrr/++hLrf8E9Pkhdq/3JR9T80rbq1TrS0+W4DX0L7kT/grvQt+BO9C+4C30L7kT/gjvYZ5OdSblDqXHjxumdd97Rk08+qWeffVb//Oc/tWvXLi1atEijR48ud6Gu2r17t77++mvHCKiydOrUSZL022+/qXHjxoqIiNCPP/7o1CYtLU2SHOtQRUREOI6d2sZms5U6SkqSAgICFBBQcmqWv79/lfwiV9W6zkehQVZJUma+uSA+c/oW3In+BXehb8Gd6F9wF/oW3In+hYrkal/yKe+F582bp7fffltPPvmk/Pz8NHDgQL3zzjsaPXq0fvjhh3IX6qo5c+aobt266t2792nbJSUlSZIiI4tHqMTGxuqnn37SwYMHHW0SEhJks9l0ySWXONosX77c6ToJCQmKjY2twCfAhSI0qPjLl5HNnGwAAAAAAMpS7lAqNTVVrVq1kiRVr15d6enpkqQbbrhBS5YsqdjqTigqKtKcOXM0ZMgQ+fmdHNy1c+dOPf/881q/fr127dqlzz//XHfeeac6d+6s1q1bS5Li4uJ0ySWX6I477tCmTZv01Vdf6dlnn9WwYcMcI50efPBB/f7773r66af1yy+/aPr06VqwYIGGDx/ulufB+Y1QCgAAAACAMyt3KFWvXj2lpKRIkho3bqxly5ZJktauXVvqdLaK8PXXX2vPnj265557nI5brVZ9/fXXiouLU4sWLfTkk0+qX79++u9//+to4+vrq8WLF8vX11exsbG6/fbbdeedd+q5555ztImJidGSJUuUkJCgNm3aaNKkSXrnnXcUHx/vlufB+c12IpRKJ5QCAAAAAKBM5V5T6uabb9by5cvVqVMnPfLII7r99ts1a9Ys7dmzx20ji+Li4mRMyV3M6tevr1WrVp3x/dHR0Vq6dOlp23Tt2lUbN2486xoBO8dIqRxCKQAAAAAAylLuUGrixImOP/fv318NGjRQYmKimjZtqj59+lRocYA3CmWkFAAAAAAAZ1TuUOqvYmNjWRAcOIUtqPhrRSgFAAAAAEDZyh1K/fvf/z7t+TvvvPOsiwHOBycXOi/wcCUAAAAAAFRd5Q6lHnvsMafX+fn5ysrKktVqVXBwMKEULnhM3wMAAAAA4MzKvfvekSNHnH4yMzO1fft2XX311frwww/dUSPgVWynLHReVFRygX4AAAAAAHAWoVRpmjZtqokTJ5YYRQVciGyBxaGUMdKxXKbwAQAAAABQmgoJpSTJz89PBw4cqKjLAV4r0N9XAX7FX60MpvABAAAAAFCqcq8p9fnnnzu9NsYoJSVF06ZN01VXXVVhhQHeLDTIXweP5So9O1/1PV0MAAAAAABVULlDqb59+zq9tlgsqlOnjq677jpNmjSpouoCvJrtRCjFSCkAAAAAAEpX7lCqqKjIHXUA55XQUxY7BwAAAAAAJZ31mlKHDh1SRkZGRdYCnDfsoVQ6I6UAAAAAAChVuUKpo0ePatiwYapdu7bCw8MVFhamiIgIjRw5UllZWe6qEfA6tsDiQYiEUgAAAAAAlM7l6XuHDx9WbGys9u/fr8GDB+viiy+WJG3dulWvv/66EhIS9L///U+bN2/WDz/8oEcffdRtRQNVnWP6XnaBhysBAAAAAKBqcjmUeu6552S1WrVz506Fh4eXOBcXF6c77rhDy5Yt09SpUyu8UMCbMH0PAAAAAIDTczmUWrRokd56660SgZQkRURE6OWXX1avXr00ZswYDRkypEKLBLyNjVAKAAAAAIDTcnlNqZSUFLVs2bLM85deeql8fHw0ZsyYCikM8GaEUgAAAAAAnJ7LoVTt2rW1a9euMs8nJyerbt26FVET4PUca0rlEEoBAAAAAFAal0Op+Ph4/fOf/1ReXl6Jc7m5uRo1apR69OhRocUB3oo1pQAAAAAAOL1yLXTeoUMHNW3aVMOGDVOLFi1kjNG2bds0ffp05ebm6t///rc7awW8hi3QvvseoRQAAAAAAKVxOZSqV6+eEhMT9dBDD2nkyJEyxkiSLBaLrr/+ek2bNk0NGjRwW6GANwkNtodSBTLGyGKxeLgiAAAAAACqFpdDKUmKiYnRF198oSNHjmjHjh2SpCZNmqhmzZpuKQ7wVvbpe3mFRcrJL1KQ1dfDFQEAAAAAULWUK5SyCwsL0+WXX17RtQDnjWpWX/n6WFRYZJSenU8oBQAAAADAX7i80DkA11ksFtkCizNfduADAAAAAKAkQinATdiBDwAAAACAshFKAW5is4dSWYRSAAAAAAD8FaEU4Cb2kVJM3wMAAAAAoCRCKcBNbEzfAwAAAACgTIRSgJuwphQAAAAAAGUjlALcxBZIKAUAAAAAQFkIpQA3cawplV3g4UoAAAAAAKh6CKUAN2H6HgAAAAAAZSOUAtzEFuQnScoglAIAAAAAoARCKcBNHNP3cgilAAAAAAD4K0IpwE2YvgcAAAAAQNkIpQA3Yfc9AAAAAADKRigFuIl9pFRWXqHyC4s8XA0AAAAAAFULoRTgJrYToZTEYucAAAAAAPwVoRTgJr4+FoUEFO/AxxQ+AAAAAACcEUoBbmRjsXMAAAAAAEpFKAW4kT2Uysgp8HAlAAAAAABULYRSgBuFBjF9DwAAAACA0hBKAW5kC2T6HgAAAAAApSGUAtwo1D59j1AKAAAAAAAnhFKAGxFKAQAAAABQOkIpwI3YfQ8AAAAAgNIRSgFu5BgplUMoBQAAAADAqQilADcKZaQUAAAAAAClIpQC3IhQCgAAAACA0hFKAW5kC/KTJGVkF3i4EgAAAAAAqhZCKcCNGCkFAAAAAEDpCKUAN7KdstB5UZHxcDUAAAAAAFQdhFKAG9kCi0MpY6RjuUzhAwAAAADAjlAKcKNAf18F+BV/zTKYwgcAAAAAgAOhFOBmrCsFAAAAAEBJhFKAmznWlSKUAgAAAADAgVAKcLPQUxY7BwAAAAAAxap0KDV27FhZLBannxYtWjjO5+TkaNiwYapVq5aqV6+ufv36KS0tzekae/bsUe/evRUcHKy6devqqaeeUkGB84LTK1eu1GWXXaaAgAA1adJEc+fOrYzHwwWC6XsAAAAAAJRUpUMpSWrZsqVSUlIcP//73/8c54YPH67//ve/WrhwoVatWqUDBw7olltucZwvLCxU7969lZeXp++//17vvvuu5s6dq9GjRzvaJCcnq3fv3rr22muVlJSkxx9/XPfee6+++uqrSn1OnL9sgX6SKi+USknP1vc7DyklPdut7wEAAAAA4Fz4ebqAM/Hz81NERESJ4+np6Zo1a5Y++OADXXfddZKkOXPm6OKLL9YPP/ygK664QsuWLdPWrVv19ddfKzw8XG3bttXzzz+vESNGaOzYsbJarZoxY4ZiYmI0adIkSdLFF1+s//3vf3rttdcUHx9fqc+K85Nj+l52wRlanrv5a/do5Cc/qchIPhZpwi2t1L9jgwp/DwAAAAAA56rKh1I7duxQVFSUAgMDFRsbqwkTJqhBgwZav3698vPz1b17d0fbFi1aqEGDBkpMTNQVV1yhxMREtWrVSuHh4Y428fHx+vvf/66ff/5Z7dq1U2JiotM17G0ef/zxynpEnOcqa/peSnq2I1ySpCIj/d/HP+nrrQcVZPUt9T3ZeYVK2HZyymuRkZ75ZIs6N6ujyNAgt9YLAAAAALiwVelQqlOnTpo7d66aN2+ulJQUjRs3Ttdcc422bNmi1NRUWa1W1ahRw+k94eHhSk1NlSSlpqY6BVL28/Zzp2uTkZGh7OxsBQWV/g/z3Nxc5ebmOl5nZGRIkvLz85WfX3XWDrLXUpVqutBUDygOhI4cz3Xr7+G31AxHIGVnJKfQyRWFxmhnWoZqB5/+rwf6FtyJ/gV3oW/BnehfcBf6FtyJ/gV3cLU/VelQqmfPno4/t27dWp06dVJ0dLQWLFhQZlhUWSZMmKBx48aVOL5s2TIFBwd7oKLTS0hI8HQJF6zkgxZJvtq594CWLt3ntvsczZUs8pWRxXHMIqP4ekUKKuObnl0gfbnPR/rLe3Ym/aA/t7l2X/oW3In+BXehb8Gd6F9wF/oW3In+hYqUlZXlUrsqHUr9VY0aNdSsWTP99ttvuv7665WXl6ejR486jZZKS0tzrEEVERGhH3/80eka9t35Tm3z1x370tLSZLPZTht8jRw5Uk888YTjdUZGhurXr6+4uDjZbLZzes6KlJ+fr4SEBF1//fXy9/f3dDkXJP+tB/XhziQFhISpV69Obr3XZ4fWaMOedEnF60ONv6mlbm1f77TvWbh+n579bKtjlJWRRcfrXKxBV8ec9n30LbgT/QvuQt+CO9G/4C70LbgT/QvuYJ9NdiZeFUplZmZq586duuOOO9S+fXv5+/tr+fLl6tevnyRp+/bt2rNnj2JjYyVJsbGxeuGFF3Tw4EHVrVtXUnH6a7PZdMkllzjaLF261Ok+CQkJjmuUJSAgQAEBASWO+/v7V8kvclWt60JQMyRQkpSRU+DW30FOfqF2pB2XJI3pc4l6XBrh0rpQg66I0bUXR2jXoeNa8lOq3v9ht17+aoey8oyejGsmi8Vy2vfTt+BO9C+4C30L7kT/grvQt+BO9C9UJFf7UpUOpf7xj3+oT58+io6O1oEDBzRmzBj5+vpq4MCBCg0N1dChQ/XEE0+oZs2astlseuSRRxQbG6srrrhCkhQXF6dLLrlEd9xxh15++WWlpqbq2Wef1bBhwxyB0oMPPqhp06bp6aef1j333KNvvvlGCxYs0JIlSzz56DiP2ALtu++5d4728m0HdSy3QBfVCNKQ2Iby8Tl9mHSqyNAgRYYGKbZxbUXVCNTLX27XtBW/KTO3QKNvuKRc1wIAAAAAwBVVOpTat2+fBg4cqD///FN16tTR1VdfrR9++EF16tSRJL322mvy8fFRv379lJubq/j4eE2fPt3xfl9fXy1evFh///vfFRsbq2rVqmnIkCF67rnnHG1iYmK0ZMkSDR8+XFOmTFG9evX0zjvvKD4+vtKfF+en0GB7KFUgY8wZRx6drUVJ+yVJfdtFnVOI9FDXJgoJ8NOoz37W3O93KSMnXy/3ay0/X5+KKhUAAAAAgKodSn300UenPR8YGKg33nhDb7zxRpltoqOjS0zP+6uuXbtq48aNZ1UjcCahQcWhVF5hkXLyixRk9a3wexw5nqeV2w9Kkvq2veicr3dHbENVD/TTPxZu1icb9ut4boGmDmynAL+Krx0AAAAAcGFi6APgZtWsvvI9MXIp3U1T+Jb8lKL8QqOWUTY1DQ+pkGve3K6e3hx8may+Pvrq5zTd++46ZeUVVMi1AQAAAAAglALczGKxyBZYPCgxI8c9odRn9ql7FTBK6lRxLSM05+6OCrb66tsdh3THrB/dFqwBAAAAAC4shFJAJbBP4XNHoLP3cJbW7joii0W6sW1UhV//qia19f69nWQL9NP63Uc0cOYPOpSZq5T0HO1ItyglPafC7wkAAAAAOP8RSgGVwBFKZVV8KPX5pgOSpCsb11K4LbDCry9JlzUI0/wHYlW7eoC2pmSox+TV6jpptaZt9VXXSas1f+0et9wXAAAAAHD+IpQCKoHtRChV0dP3jDH6ZMM+SRU/de+vLo60aeGDsYqwBepQZp6KTPHxIiM988kWpaRnu/X+AAAAAIDzC6EUUAlsbpq+9/OBDO3847gC/HzU49KICr12aWJqV9MzvS8ucbzQGO06lOX2+wMAAAAAzh+EUkAlcNeaUos2Fi9w3v2ScIUE+lfotcvSsWGYTmwm6OBrsahh7eBKuT8AAAAA4PxAKAVUAltgxYdShUXGsZ6Uu6funSoyNEgTbmmlU3OpF26+VJGhQZVWAwAAAADA+xFKAZXAPlIqI7ugwq6ZuPNPHTyWqxrB/urSrE6FXdcV/Ts20MIHOslHxQtLXRRGIAUAAAAAKB9CKaASuGP63qcnpu7d0DpSVr/K/yq3qReqayKLQ6l/LftVxphKrwEAAAAA4L0IpYBKYAvykyRlVFAolZ1XqK9+TpVUuVP3/qp7VJGC/H20ae9RLd920GN1AAAAAAC8D6EUUAkc0/dyKiaU+npbmjJzC1QvLEjto8Mq5Jpnw2aV7rwiWpI0KeFXFRUxWgoAAAAA4BpCKaASVPT0Pfuue33bXiSLxXKG1u5179UNFRLgp20pGfryxOit811Kera+33lIKenZni4FAAAAALwWoRRQCSoylDp8PE+rfv1DktS3XdQ5X+9c1Qj21z1Xx0iSXk34VYXn+Wip+Wv36KqJ32jQ22t01cRvNH/tHk+XBAAAAABeiVAKqAS2wOJQKiuvUPmFRed0rSWbD6igyOjSi2xqUjekIso7Z0OviVFokL9+O5ipzzft93Q5bpOSnq3/+/gn2XO3IiM988kWRkwBAAAAwFkglAIqge3ESCnp3Bc7X5R0QJJnFzj/K1ugvx7o0kiSNPnrHeccvFVVO9Iy9ddxYIXGaNehLI/UAwAAAADejFAKqAS+PhaFBBTvwHcuU/j2/Jml9buPyMci3djG81P3TnXXlQ1Vu7pVu//M0sfr93m6HLfYciC9xDFfi0UNawd7oBoAAAAA8G6EUkAlsVXAulKLkoqnxl3VpLbq2gIrpK6KEmz109+7NpEkTV2+Q7kFhR6uqGLlFRTp/cTdTsd8LNKLt1yqyNAgD1UFu/IuPn82i9WfL/cAAAAAqgo/TxcAXChsQf7afzRbGTkFZ/V+Y4wjlLqpCk3dO9XgTg309urfdSA9Rx/9uFdDrmzo6ZIqzIJ1e3UgPUd1QwJ0+HiuCoqkT/5+pdo2CPN0aRe8+Wv3aOQnxWt9+VikCbe0Uv+ODSqs/fl0DwAAAKAqIZQCKklo0LlN3/tpf7p+/+O4Av19FN8yvCJLqzCB/r56+LomenbRFk1b8Ztu61BfQVZfT5d1znILCjV9xW+SpL93bax3v9+lXX9mKafg/Fw7y5ukpGc7ghmpePH5ER//pIXr9yrAr2Tfyy0o1LpdRx2vz9T+bN7jqXs888kWdW5Wh5F7AAAA8BqEUkAlse/Ad7ah1KKNxQucd784XCGB/mdo7Tm3daivGat2at+RbL3/w27d17mRp0s6ZwvX7XOMkhp4eQN988tB7fozS3sPZ+mKRrU8Xd4FLfnQcUcgdapTAxtXlLd9VbxHoTFam3xYN1bRkZQAAADAXxFKAZUk9MSaUmez+15BYZE+31QcSt3crmr/g9Pq56NHuzXV0//ZrDdX7dTATg1UPcB7/6rJLSjUGydGST3UtbEC/X1VL6x4YfO9R1jHx9NialeTRXLaFdFikcb2uUQ1gq0l2h/NytPYz7e63P5s3uOpe0jSPxZu0u+HjuvBLsV9FQAAAKjKvPdfioCXOZdQ6vudf+pQZq7Cgv3VuVmdii6twt3S7iK9uXKnkg8d19zvkvXwdU09XdJZW7Bun1LScxRuC9CAy4vX66lfs3h61L7DWZ4sDZIiQ4PULLy6tqdlSireDfHFWy497dpKgf6+euaTLSo0xqX2Z/Oeyr6Hj0VqWKuafj90XJO/3qH/rN+nUTdcorhLwmWxWE57XwAAAMBTCKWASnIuu+8t2li8wPkNraPk71v1N8308/XR492b6rGPkvTW6t91xxUNFRpcdaccluXUtaQe6trEMfKkQc3ikVJ7qlgolZKereRDxxVTu9oFs67QwWM5+u2P45KkV29ro9jGtc747P07NlDnZnW061CWGtYOdumzKu97PHGPCFuglvyUoheWbNO+I9l64L31uqZpbY29saUa16l+xvsDAAAAlY1QCqgkjpFSOeULpbLyCvTlz6mSpL5VfOreqfq0jtL0FTu1Pe2Y3vnf73oyrrmnSyq3BWv3OkZJ9e9Y33G8vmP6XtUJpS7Undg+TzqgwiKjdg1q6JbL6rn8vsjQoHIHd+V9jyfucUPrKF3Xoq6mr9ipmat/17c7DqnH5NW656oYPdKtqVdPpQUAAMD5p+oPuQDOE6FnOVIqYWuasvIK1aBmsC5rUMMNlbmHj49Fw69vJkma/b9kHT6e5+GKyqd4LamdkpxHSUlS/RMjpdIycpWTX+iR+k5V2g50z3yyRSnp5/+aVx9vKB5FWJ5A6nwXbPXTP+Kba9nwzrquRV3lFxq9tfp3XfevlVq0cb8OHM3S9zsPlat/pKRnu/09lXEPAAAAVC38v0yBSmIPpfYfzVZKerZLoyFS0rM157tkSVLftlFetzZMfMtwXXqRTVv2Z+itVTs1stfFni7JZQvW7lVqRo4ibIFOo6QkKSzYX9WsvjqeV6j9R7M9OjWqsMho5urfS+xAV2iMdh3KOq+n8W09kKFtKRmy+vqoT+tIT5dT5TSsXU2z7+qo5dvS9Nzirdr9Z5Yen5/kOO9jkZ6Kb64bWked9jqLNx/QK19td4zCc8d7KuIeF8roQAAAgPMJoRRQSX7c9ackadehLF018Zsz/gPq1OlYkuTv530DGy0Wi56Ma66756zV3O+T1aZeqNpFh1X5oCQn/5RRUteW3MXMYrGofs1g/ZJ6THsPZ3kslNqyP13//PQnbdqXXuKcj0VqWDvYA1VVnk827JMkdbu4bpm72kHqdnG4rmpSW5O//lUzVv3uOF5kpJe+3K6Xvtzu8rUq4z1ne49nPtmizs3qVPm/XwAAAHASoRRQCVLSs/XWX/4xOOLjn/R50oFSt23PyS/Udzv/dDo2OWGH/ta+ntf9g6trszqKrhms3Yez9NAHG71iRMOCdWWPkrI7NZSqbMdy8jVp2a/6d+IuFRmpeoCfrmtRR4s3pzhCzGCrn/ILzOkv5MUKCou0KOmAJKkfU/fOKNDfV52b1XEKpeysvj7y9Sl9FGZhkVFeYZFb31NR9yg0RjsPZnrd35EAAAAXMkIpoBIkHzpeYnqVpBLB0+l463Ss1Iwc/X97dx4fVXn2f/x7ZrKQBBIICUkIgQQ0yCabgLggKIsKKkVbamtx90HBiuhjK48t2tZSF9yq1vZnEStuqKgsyi4oAmJRhLBvAYEshCUL2TPn98ckIyEJTJI5sySf9+s1L8nJuc+5TrwYmIv7vu6DpzUE9/cZDcVlFXq1cpbUpGFdFBpUs2gond7s3Hu9bEzT1KItGfrTgm3Kzi+RJI25MEF/GNNdcZEt9Oi1Rdp2JE8zPt+hPdkF+s2sb/ThxEsU2yrUazF6y1e7c5RTUKLoiBBd0TXW1+EEhJSYCNkMVXsvshuGVj8ytM7fixm5Rbr0bystHeOpe0jS04t3KjkmQh3aNO1ZggAAAE1F4K0HAgJQ1YfB0xmG9Og1F+ipG3vVeD16zQU6c36A3TACcjnW/pxTMuvod+SP3q/sJZUQ1UK/qGOWlCQlRTs/LHtrplR6zind+sa3mvzO98rOL1Fy23D9546BevlX/RQX2UKScye2q7rF6Z27BqlDmzAdOFao22dvUH49d3wMBB9VLt27vnd7Bdv5o8wdCVFhmjGul+yVvenshqG/jut51uKwN8Z44h6GIYUG2bT5cK6uefErzf/hyFl+EgAAAPAXzJQCvKDqA9S0eWmqME3Xh66zLWFrHR5c43x/nFl0LrXNzpCkvUcLNLhLW98EVYfisgq9umqPJOm+YefVOUtKOn2mlDVFqYzcIu3POaXE1mH65PsjemXVHpWWOxRit+neoV1079Cava6qtItsobfuHKSb/rFWaYfzNHHORs26bcBZnyeQ5BaVaem2LEnSTf1Zulcf4wd01JDUWKXnFCo5Jtyt9xRvjPHEPcorTD3w3vf67uBJ/fbd77V651E9cUMPtQzlrzoAAAD+ir+pAV7ijQ9p/ujMglyVxz5J0/FTpbr/yvP8ZlfB97/9UVl5JWof1UK/uOjsxY6ObSuLUsc9v3zvzCb3VS47L0Z/uqGHOrvRWD0lJkKzbx+oX/5rnb7ec0xT5/6gv/+yr2x19OgJJJ9tyVBpuUOpcS3Vo32kr8MJOAlRYfV+P/HGGE/cY+7/DNZLK/fo5ZW79dF3h/TfA8f14i/7qk9S63pdFwAAAN7BmgfAixKiwjS4S1u3P3jV93x/NX5AR635/TC9e/fFWvO7YbrzshRJ0nPLdum3721ScVmFjyOs3ywpSerQxvn/JLeoTLlFnlsel5FbVGtB6okbeuitOwe6VZCq0qtDlF77TX8F2w0t2pyhJxZslXnmWsoA9NFG59K9G/t18JuCJvxDkN2mqSNS9d49g5XY2rmE9aZ/rNWrq/aoorbGfgAAAPApilIAvKKqwNahTbj+MKa7ZozrpSCboQU/HNH4f65Tdl6xT+N7b8NB1yypn59jlpTk3N0upmWIJM/2laqrKX5qu1YNKsBcfn6sZv6ijwxDenPdAb3yxR4PROk7B46d0n8PnJDNkMb2TfR1OPBTA1Oi9dkDl2v0hQkqd5h6evFO3fL6N8rILVJGbrF25xrKyPXtew4AAAAoSgHwkZsHdtRbdw5S6/Bg/XAoVze88rXSDuf6JBbnLCnnjnvuzJKqUrXD1yEP9pVKiYnweJP763u31/Qx3SVJzy7dpfc2HGxEhL4177vDkqTLzo91NXgHahMVFqyXb+6rp2+6UOEhdq3bd0xXPrtaVzz7pV7eZtfQmV/q/W8D9/cCAABAU0BRCoDPDO7SVp/cd6m6xEYoI7dYP39tnRanZXg9jnc3HFR2flUvqbp33DtTUrTn+0olRIXpiq6xrq891eT+tktTNGlYF0nStI+3aOnWzEZdzxccDlPzvq9auscsKZybYRj6xUVJWvTby3VBfCsVlVWoaiKiw5SmzUtTRq7n+8IBAADAPRSlAPhUckyE5t13qYakxqqorEIT53ynl1fu1pGThVq7N6deHxgzcovqPSY955ReXL5bkjTpyvMUEuT+22LHaGehyNM78AVVNiO//dJkrfn9sLPu0lgfD4/sqvEXJclhSve/+70+35Jh+c+4If9P6vLfAyf04/EitQwN0sju8Y2+HpqPlJgITbu2W43jFaapPVkFPogIAAAAErvvAfADUWHBmnXrRfrLou2avTZdzy7dpWeX7pIk2Qxpxrhe5yzMnL5jXX3G/P6jLa6ZE6pnH+SkyuV7Bz3YU0qSdmblS5JGdo/3aJN7wzD05M966tipUi3fnqV73/5OknU/44b8Pzmbqgbn1/aKV1iIe0ssgSrnx7WUzVCNnm2PfbJFfx7bS0NSY2sfCAAAAMtQlALgF4LsNj1+fQ+1iwzV04t3uo47TOn3H23Rph9PqmVo7W9ZBSXlem/Dj9WW5dR3jCT98dOturJbO7cLQT8t3/NcUaqwtNy1HDA1zv2d9twVZLfpsdHdtHx7luuYw5R+99EWPb14p+y22pupVzhMHTtV6vaY2s6fNi9NQ1JjG1RoKy6r0KItzqWd4/qduxE9cKaEqDDNGNfLVSg1DCk82K4Dx4s0YdYGjewep8dGd1fHtg3v3wYAAID6oSgFwK/0SWpd45gp6d0NP9brOg0ZU2GaSs8pdL8o5Wp0XiTTNBu0O96Z9mQ7lxK1jQhR25ahjb5ebY7UsZTu9CKSu+ozpr4/39Mt3ZalgpJydWgTpoHJ0fUeD0jS+AEdNTiljeZ+9oV+ce0wRUW00IvLd+vNdelaui1Lq3Yd1cQhnXXv0POYjQcAAOAFFKUA+JWUmIgaS2wMSb+6uONZZz29s/5gtVlPDRlT313uElq3kM2QSsodOppfonYe2A1uV2V/m/MtmCVVpbafsc2QZt82UDGtai+E5eSX6NbZG2S6Oaa28yUpJKhhhbuqpXvj+ibKVsdsLsAdCVEtdH6UqYSoFgoODtYfr+uuXw5M0uPzt2rt3mN6aeUefbjxkKaN7qbRvRI8UmwGAABA7ShKAfArVUtsps1LU4VpunafO1cvogsTozwypj6zeILtNrVvHaZDJ4r044lCjxSldlf2k0qNa9Xoa9Wlrp/xkK5n76nzt3qOOf38Kr//aIs+uu8SRbYIdjve7LxifbX7qCSW7sEaqXGt9PZdg7Rka6b+vHC7Dp8s0uR3vteczgf0+PU9FBUWrP05p5QSE+HRPm8AAADNHUUpAH5n/ICOGpIaq/ScQiXHhLv1IdBbY86U1CZch04U6eDxQvXv1PhlZbsqi1LnW1iUkrzz8zr9/PAQm+55a6N2Zxdo0tvfadZtAxRsd2+nw082HZbDlPp3aqPkmAi3xgD1ZRiGru6ZoCtS2+m11Xv12uq9Wr/vuK558SvJdC4J9kTDfgAAAPzE/b3PAcCLEqLCNLhL23oVirw15nRJ0c5xVc3JG6tq+V5qO+uW71Xxxs+r6vzeSW3071sHKCzYrq9252j6/K0yz1zbVwvTNPXRxsOSpHH9Et2OE2iosBC7HhyRquVTr9DQrrEyTVXbRGHavDRl1NGXDQAAAPVDUQoAGqGq2bknduA7VVKuwyerdt6zdqaUL/RMjNJLN/eVYUjvfHNQr3+1/5xjtmXka2dWvkKCbBrTq70XogSckqLDdc+QzjWOVzXsBwAAQONRlAKARkiKrixKnWj8h9TdlTvvxbQMVZuIkEZfzx+N6B6nx0Z3lyT99fPtWrI186znf7LpiHNctzhFhbvfhwrwhKpNAU5X3w0RAAAAUDeKUgDQCK6ilAeW7+1yNTm3fumeL91xabJ+c3Enmab0wHvfa/Ohk7WeV+GQFmx2Fq1u7M/SPXhfQlSY/vqzXq6vbYbqvSECAAAA6kZRCgAaoaqnVEZukcoqHI26ljd23vMHhmFo+nXdNbRrrIrLHLrzzf+6li2ebnuuoWOnShXTMkSXn3/2nQEBq/xyYEdd3Nm5icHUEak0OQcAAPAgilIA0AixLUPVItgmhykdqaWwUh9VTc7Pb+IzpSQpyG7T32/uqwviW+lofonunP2t8ovLqp3z7VHnuqnreye6vVMfYIWLKnfW9NSGBgAAAHDib/kA0AiGYahDG88s4WsuM6WqtGoRrH/fNkCxrUK1IzNfk9/5XuWVs81yi8q05bizKMXSPfhaz8RISVLakVwfRwIAANC0UJQCgEZKauNcwteYZuf5xWU6klssSUpt1zyKUpKU2DpM/771IrUItmn1rqN6YsE2maapz9IyVWEa6hrXUt0TIn0dJpq5Hu2jJDn7vpWUV/g4GgAAgKaDohQANFLHymbnB483vChVtXQvLjK02e0yd2GH1nrxl31lGNJb6w/oheW79db6g5Kkn/VtL8MwznEFwFod2oQpKixYZRWmdlf+XgUAAEDjUZQCgEb6aQe+hhelmtvSvTON6hGvadd0kyS9uGK3dmefkmT6NiigkmEY6pXonC215TBL+AAAADyFohQANJKrp9SJhveUcjU5b0ZL9840+sL4M44YenrJLmXk0lwavtejqq8URSkAAACPoSgFAI2UFO3sKXWoMTOlsqtmSjX9nffqkn6s5s/PYUrpOQ3/uQKe0rOyr1TakTwfRwIAANB0UJQCgEaqWr537FSpTpWUN+gauyqX753fTJfvSVJKTIRsZ7SPshlScky4bwICTtOzcvne9ow8lVXuEgkAAIDG8eui1IwZMzRgwAC1atVK7dq109ixY7Vz585q5wwdOlSGYVR7TZw4sdo5Bw8e1OjRoxUeHq527drpf//3f1VeXv2D46pVq9SvXz+FhobqvPPO0+zZs61+PABNRGSLYLWubE7ekB34covKlJVXIkk6vxnPlEqICtOMcb1kr2xsbsjUX27oroSoMB9HBkidosPVMjRIpeUO7T1Ks3MAAABP8Oui1OrVqzVp0iStX79ey5YtU1lZmUaOHKlTp05VO+/uu+9WRkaG6/X000+7vldRUaHRo0ertLRUa9eu1ZtvvqnZs2frj3/8o+uc/fv3a/To0Ro2bJg2bdqkKVOm6K677tKSJUu89qwAAltSVV+p4/Xvf1TV5DwhqoUiWzSvnffONH5AR635/TDNueMiPd6vQj/v38HXIQGSJJvNUPf2VX2lWMIHAADgCUG+DuBsFi9eXO3r2bNnq127dtq4caOGDBniOh4eHq74+DMb5DotXbpU27Zt0/LlyxUXF6c+ffroz3/+s373u9/p8ccfV0hIiF577TWlpKRo5syZkqRu3bppzZo1ev755zVq1CjrHhBAk5EUHaYth3MbtAOfq8l5M166d7qEqDDFhAfp2HZfRwJU17N9lDbsP660w7m6iYIpAABAo/l1UepMubnOHW+io6OrHX/77bc1Z84cxcfH67rrrtMf/vAHhYc7Zy2sW7dOvXr1UlxcnOv8UaNG6d5779XWrVvVt29frVu3TsOHD692zVGjRmnKlCl1xlJSUqKSkhLX13l5zn81LSsrU1lZWaOe05OqYvGnmNA0kFvVtY9qIUk6cKyg3j+THRnO97bzYsL5eVYiv2CVxuRW9/gISdKWQyfJTdSK9y5YhdyClcgvWMHdfAqYopTD4dCUKVN06aWXqmfPnq7jv/rVr9SpUye1b99emzdv1u9+9zvt3LlT8+bNkyRlZmZWK0hJcn2dmZl51nPy8vJUVFSksLCa/UxmzJihJ554osbxpUuXugpi/mTZsmW+DgFNFLnllJtpSLJr4450faZ99Rq7frtNkk1FWfv02Wd7LYkvUJFfsEpDcsu5QWSQthw6oYWLPqvRmB+ownsXrEJuwUrkFzypsNC9FSQBU5SaNGmS0tLStGbNmmrH77nnHteve/XqpYSEBF111VXau3evunTpYlk8jz76qKZOner6Oi8vT0lJSRo5cqQiIyMtu299lZWVadmyZRoxYoSCg5t3rxp4FrlVXavdOfpg/3cqDY7UtddeUq+xf9mySlKpxl01WH2SWlsQXeAhv2CVxuRWhcPU89tWqLjMoW4Dr1CX2AiLokSg4r0LViG3YCXyC1aoWk12LgFRlJo8ebIWLlyoL7/8Uh06nL2Hw6BBgyRJe/bsUZcuXRQfH68NGzZUOycrK0uSXH2o4uPjXcdOPycyMrLWWVKSFBoaqtDQ0BrHg4OD/fI3sr/GhcBHbjklxzr7QR06WaSgoCAZhntTKE4WlupoQakkqVtiGwUHB8TbsteQX7BKQ3IrWFL3hEh9d/Ckdmaf0gXtW1sSGwIf712wCrkFK5Ff8CR3c8mvd98zTVOTJ0/Wxx9/rJUrVyolJeWcYzZt2iRJSkhIkCQNHjxYW7ZsUXZ2tuucZcuWKTIyUt27d3eds2LFimrXWbZsmQYPHuyhJwHQ1CW2CZNhSIWlFTp+qtTtcVVNzhNbh6llKAUpwN/1TIySJKUdzvVxJAAAAIHPr4tSkyZN0pw5c/TOO++oVatWyszMVGZmpoqKnFuu7927V3/+85+1ceNGpaena/78+ZowYYKGDBmiCy+8UJI0cuRIde/eXb/5zW/0ww8/aMmSJXrsscc0adIk10yniRMnat++fXrkkUe0Y8cOvfrqq5o7d64efPBBnz07gMASGmRXXCtns/MfTxS5PW5XVr4kKTWupSVxAfCsnu2rilLuTUkHAABA3fy6KPWPf/xDubm5Gjp0qBISElyv999/X5IUEhKi5cuXa+TIkbrgggv00EMP6cYbb9SCBQtc17Db7Vq4cKHsdrsGDx6sW265RRMmTNCf/vQn1zkpKSlatGiRli1bpt69e2vmzJl6/fXXNWrUKK8/M4DAlRTtXO7743H3mvpJpxelWlkSEwDPcs2UOpIr0zR9HA0AAEBg8+u1Iuf6y15SUpJWr159zut06tRJn3322VnPGTp0qL7//vt6xQcAp0uKDte36Sd0sAFFqfMpSgEB4fy4lgqx25RfXK6DxwvVqS3NzgEAABrKr2dKAUAgSWoTLkk6dML9otTuyp5SLN8DAkOw3aYLEpxFZJbwAQAANA5FKQDwkKRoZ1Hqx+Pu9ZQ6VlCiY5VN0c9rR1EKCBQ92v+0hA8AAAANR1EKADwkqU1lTyk3Z0pV7byXFB2m8BC/Xk0N4DQ9EyMlsQMfAABAY1GUAgAPqZopdfhEkSoc526AvDu7ssl5O/pJAYGkage+rUfyaHYOAADQCBSlAMBD4iJbKMRuU7nDVEbuuZfw0eQcCExd41spyGbo+KlSZeQW+zocAACAgEVRCgA8xG4zlFi1hM+NvlK7aHIOBKQWwXZXMZklfAAAAA1HUQoAPKiDm32lTNPU7sqZUqnMlAICTs/29JUCAABoLIpSAOBBVX2lDh0/e1Eqp6BUJwrLZBhSl1hmSgGBpmdi1Q58eT6OBAAAIHBRlAIAD+pYWZQ6eI6iVNUsqY7R4QoLsVseFwDPYgc+AACAxqMoBQAelNTGWZT68cTZe0q5mpyz8x4QkLolRMowpOz8EmXn0ewcAACgIShKAYAHJUVXNTo/+0ypXdk0OQcCWXhIkGvp7VaW8AEAADQIRSkA8KCqmVLZ+SUqLquo87yq5Xtd45kpBQSqXlV9pVjCBwAA0CAUpQDAg1qHB6tlaJAk6VAdS/hM09TOTJbvAYGuR9UOfEcoSgEAADQERSkA8CDDMFw78NW1hC87v0R5xeWyGVLn2AhvhgfAg1w78B1m+R4AAEBDUJQCAA9LalPZV+pE7UWpqibnyW0j1CKYnfeAQNW9cqbU4ZNFOn6q1MfRAAAABB6KUgDgYeeaKbUry9nk/HyanAMBLbJFsJLbOn+/b2UJHwAAQL1RlAIAD3PNlDpee0+pqibnqXH0kwICXQ+W8AEAADQYRSkA8DDXTKlzLN87n6IUEPBcO/AxUwoAAKDeKEoBgId1rCxKHaxl+Z5pmtpduXwvleV7QMDr2d5ZlNp6mKIUAABAfVGUAgAP69DGWZTKLy5XbmFZte9l5hUrv6RcdpuhlBh23gMCXY/KZufpxwqVV1x2jrMBAABwOopSAOBhYSF2xbQMlVRzCV9Vk/PktuEKDWLnPSDQtYkIUWJrZx+5rfSVAgAAqBeKUgBggaToqmbn1YtSNDkHmp6eic7ZUuzABwAAUD8UpQDAAkltam92TpNzoOmp6iuVRl8pAACAeqEoBQAWqKvZ+S6anANNTk/XDnws3wMAAKgPilIAYIGflu8VuY6Zpqk92VVFKWZKAU1FVVFq79ECFZaW+zgaAACAwEFRCgAsUNvyvSO5xSooKVeQzVByW3beA5qK2FahiosMlWlK2zOYLQUAAOAuilIAYIGkyuV7h04UyeEwJUm7Mp39pDrHRigkiLdfoCn5qa8URSkAAAB38akIACyQENVCdpuh0nKHjhaUSKLJOdCU9Uik2TkAAEB9UZQCAAsE2W1q37qFpJ+anbuanLejKAU0NT3bR0qStlCUAgAAcBtFKQCwiKuvVGVRane2c6YUO+8BTU9Vs/Pd2QUqLqvwcTQAAACBgaIUAFjkp6KUs6/U7sqZUizfA5qehKgWahsRogqHqZ2V/eMAAABwdhSlAMAiSdFhkpw78B0+WaSisgqF2G1Kbhvu48gAeJphGD/1lTrCEj4AAAB3UJQCAItU7cB38Hihq8l559gIBdl56wWaoqq+UuzABwAA4B4+GQGARaqKUoeOF7qanLN0D2i6qvpKfbPvmDJyi9wel5FbpLV7cywd4417SJJyD0v7v3T+FwAA4ByCfB0AADRVVT2lMvKKtS3DOXMitR1NzoGmKj3nlCRpX84pXfq3lXri+p66qX+Hs475cOMhTZ+fJocp2QxZMsYT95gxrpfGD+h41jH69t/SZw9LpkMybNJ1L0r9Jpx9DAAAaNYoSgGARWJahigs2K6isgp9ueuoJGZKAU1VRm6Rnl260/W1w5T+8Gma/vBpmtvX8MaYht5j2rw0DUmNVUJUWO0n5R6WFj0kyXR+bTqk+b+VDn8nxfeS2iRL0SlSVJJkD6459vheKbqLFJXodlwAACDwUZQCAIsYhqEObcK0O7tAuUVlkqTUOGZKAU3R/pxTcpi+jsI6Faap9JzCuotSx/fKVZByMaWNb1Q/ZNilqA7OIlWbZKnohLR9gfNcZlcBANDsUJQCAAslRYdrd7azn1RIkE2d2kb4OCIAVkiJiZDNULXClM2Qlk+9QvFRLWodk5lbrOHPrbZ0jKfuYTek5Jiz7Bwa3cVZVDIdpx00pD63SIVHpRPpzld5sXTygPO1f3X1a5gOaf790r5VUtLFzhlWcT2kFpHVz2vIzKr6jmngPYzsnWpRety98xt6HwAAmhCKUgBgoY7RP32I6xLbUnab4cNoAFglISpMM8b10rR5aaowTdkNQ38d11OdY+ueHdk5tqXlYxpzj0fnbXEVpiYMTq57lpTkLKhc96K0YIpkVjhnRF33QvVZTw6HVJBVWaDaL+1bLW1+r+a10j5yvqq07lRZoOopFeZI/531U9+q0c9JfW+pOy5J+n6OtGiq+2Pqe/5pY4JMh0bKUEXHCumiW+sXlzuzxLxRXAMAwIsoSgGAhTq0+elDHEv3gKZt/ICOGpIaq/ScQiXHhJ+9iOPFMY25x5OLtmvh5gxtSD8u0zRlGGcprPebIHW5Sjq+T4ruXLMIYrNJkQnOV6fBUsoV0pa51WdXGTZpwN3OwlVWmpR3+KeZVTsWVr+e6ZAWTnG+3FXfMQ24hyFTQZ8/JH3+UP3imn+/tOH/SS3jpLA2la/WP/36yPfShn/9VMS6bKrU9dq6r7nzM2nNcz+df+1MacAd547Fj2eiNdu4AKAJoygFABZKOm2mVEIdS2UANB0JUWFuFX28Paah93ji+h76Yke2th7J05Ktmbq6Z8LZB0Uluv8h253ZVYXHncWpzDRpz3Jp74p6PUPAydzs3nmmQ/rqWefL3fMXPSiteEKKbO8sfLWKr/7flnHSwfXSF3+p3+yt7/4jLXjA/TH1Pd9bY/w1LgBo4ihKAYCFth3Jc/36n1/uU0pMxLm3VQcAP9G2ZajuuCxFf1+5R88t26UR3eM9uwz5XLOrwqOllCHOV/cbpBd6njGzyi5N/No5+6o2eRnSa5e4P6a+59cxxjRsMiaurWdclQUKw+ZsAF90Qio66fzv8X1Sxqaa14loJwXV8g8e5cXSqeyax4tPOl/Z22qP63RVs7fm33/ucxs6xhv38Pe4Fkxx/h5gxhSAZoqiFABYJCO3SH9fudv1tenOtuoA4Gfuuryz3lybrl1ZBVrwwxGN7evhD8/uzq6qa2ZVXLe6x4S1rt+Y+p5fyxiHbHJc+5yCGhJXXTNmcg/XXpC7Z1XtP7u6zr/lI+exgiznKz9LKsh0/vfEfik/o+6YYQ2zwll0pCgFoJmiKAUAFqlti/hzbqsOAH4mKixY/3NFFz2zZKdeWL5Loy9MULDd5ptgzjWzyhNjGnGP8qO7tOL7dF3Z5xyN0et7n7oKcnWNqev8LsPqvkethSybs/DVqo4ZX/kZ0r+Guj+mvud7a4xP47I7//8DQDNFUQoALFLbFvF2wzj7tuoA4IduuyRZ/16zX+nHCjXvu0O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       "text/plain": [
        "<Figure size 1200x600 with 1 Axes>"
       ]
@@ -652,7 +655,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 12,
    "id": "6d95d61e-98ce-4c8c-9ac1-4461676fced3",
    "metadata": {},
    "outputs": [],
@@ -757,7 +760,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 195,
+   "execution_count": 13,
    "id": "428fa3a9-2ed6-476a-a552-e5bdaf4f1f56",
    "metadata": {},
    "outputs": [
@@ -790,7 +793,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 196,
+   "execution_count": 14,
    "id": "adc9e4c3-54e8-435f-af50-bce48ae7a401",
    "metadata": {},
    "outputs": [
@@ -857,260 +860,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 200,
-   "id": "7a30da9a-e1a6-4451-b742-32a81d353bb2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <td>FR0010135103</td>\n",
-       "      <td>2021-04-30</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   Agreement - Code Company - Id Company - Ultimate Parent Id  \\\n",
-       "10              003          166                          166   \n",
-       "14              003          166                          166   \n",
-       "15              003          166                          166   \n",
-       "16              003          166                          166   \n",
-       "17              003          166                          166   \n",
-       "\n",
-       "   Registrar Account - ID Registrar Account - Region  \\\n",
-       "10              200000647                     France   \n",
-       "14              200000647                     France   \n",
-       "15              200000647                     France   \n",
-       "16              200000647                     France   \n",
-       "17              200000647                     France   \n",
-       "\n",
-       "   RegistrarAccount - Country Product - Asset Type Product - Strategy  \\\n",
-       "10                     France          Diversified         Patrimoine   \n",
-       "14                     France          Diversified         Patrimoine   \n",
-       "15                     France          Diversified         Patrimoine   \n",
-       "16                     France          Diversified         Patrimoine   \n",
-       "17                     France          Diversified         Patrimoine   \n",
-       "\n",
-       "   Product - Legal Status Product - Is Dedie ?        Product - Fund  \\\n",
-       "10                    FCP                   NO  Carmignac Patrimoine   \n",
-       "14                    FCP                   NO  Carmignac Patrimoine   \n",
-       "15                    FCP                   NO  Carmignac Patrimoine   \n",
-       "16                    FCP                   NO  Carmignac Patrimoine   \n",
-       "17                    FCP                   NO  Carmignac Patrimoine   \n",
-       "\n",
-       "   Product - Shareclass Type Product - Shareclass Currency Product - Isin  \\\n",
-       "10                         A                           EUR   FR0010135103   \n",
-       "14                         A                           EUR   FR0010135103   \n",
-       "15                         A                           EUR   FR0010135103   \n",
-       "16                         A                           EUR   FR0010135103   \n",
-       "17                         A                           EUR   FR0010135103   \n",
-       "\n",
-       "   Centralisation Date  Quantity - AUM  Value - AUM CCY  Value - AUM €  \n",
-       "10          2019-08-31             0.0              0.0            0.0  \n",
-       "14          2019-07-31             0.0              0.0            0.0  \n",
-       "15          2020-02-29             0.0              0.0            0.0  \n",
-       "16          2020-05-31             0.0              0.0            0.0  \n",
-       "17          2021-04-30             0.0              0.0            0.0  "
-      ]
-     },
-     "execution_count": 200,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dg = df[df['Quantity - AUM'] == 0].copy()\n",
-    "dg.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 201,
-   "id": "77319126-2d43-4987-838a-b43c41c8cf86",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3099024"
-      ]
-     },
-     "execution_count": 201,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "len(dg)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 202,
-   "id": "629fcf04-9f92-46e0-be77-cf09a427a8f5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4880297"
-      ]
-     },
-     "execution_count": 202,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "len(df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 207,
+   "execution_count": 21,
    "id": "bd189ebf-7266-45ce-931c-89b3b9ccbd02",
    "metadata": {},
    "outputs": [
@@ -1118,12 +868,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Index(['100000014', '100000016', '100000038', '100000044', '100000047',\n",
-      "       '100000057', '100000062', '100000074', '100000077', '100000087',\n",
-      "       ...\n",
-      "       '7905', '7912', '7962', '80084', '81036', '8354', '8416', '85419',\n",
-      "       '88511', '88928'],\n",
-      "      dtype='object', name='Registrar Account - ID', length=4841)\n"
+      "4841\n"
      ]
     }
    ],
@@ -1131,37 +876,8 @@
     "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(accounts_always_zero)"
+    "print(len(accounts_always_zero))"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 205,
-   "id": "9c186627-396d-496e-977b-0f990fd089ad",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "12501"
-      ]
-     },
-     "execution_count": 205,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "len(aum_max)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a586c717-4718-4a8b-a9cd-38a32f851f50",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -1180,7 +896,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.8"
+   "version": "3.13.11"
   }
  },
  "nbformat": 4,
diff --git a/Migration.ipynb b/Migration.ipynb
new file mode 100644
index 0000000..0b2cca8
--- /dev/null
+++ b/Migration.ipynb
@@ -0,0 +1,1456 @@
+{
+ "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",
+       "        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>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": [
+       "<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",
+       "      <th>account_clustered</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>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>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",
+       "      <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>2.241306e+04</td>\n",
+       "      <td>2.241306e+04</td>\n",
+       "      <td>200000647</td>\n",
+       "      <td>200000647</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>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": [
+    "# 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": "3.13.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Stats_descriptives.ipynb b/Stats_descriptives.ipynb
index d0af7c0..6930089 100644
--- a/Stats_descriptives.ipynb
+++ b/Stats_descriptives.ipynb
@@ -884,7 +884,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.8"
+   "version": "3.13.11"
   }
  },
  "nbformat": 4,
diff --git a/__pycache__/detection_rupture.cpython-313.pyc b/__pycache__/detection_rupture.cpython-313.pyc
index ad46549..67e7d4e 100644
Binary files a/__pycache__/detection_rupture.cpython-313.pyc and b/__pycache__/detection_rupture.cpython-313.pyc differ
diff --git a/__pycache__/function.cpython-313.pyc b/__pycache__/function.cpython-313.pyc
index f1ff42a..d8f6775 100644
Binary files a/__pycache__/function.cpython-313.pyc and b/__pycache__/function.cpython-313.pyc differ
diff --git a/data_flux.ipynb b/data_flux.ipynb
deleted file mode 100644
index 8f9c155..0000000
--- a/data_flux.ipynb
+++ /dev/null
@@ -1,616 +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": 10,
-   "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": 11,
-   "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": null,
-   "id": "1b35a706-e94b-4bbb-8255-be5de03cb33b",
-   "metadata": {},
-   "outputs": [],
-   "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 dans les deux :\", len(intersection))\n",
-    "print(\"Liste des comptes :\", intersection)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "25836642-a7c3-489d-9ece-eec73a2121ef",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'366352', '259287', '419301', '366391', '200001352', '366032', '405179', '422240', '406010', '406402', '200001415', '420284', '364637', '403987', '406310', '200126238', '365884', '364678', '405102', '403903', '414054', '364762', '419183', '404195', '409651', '411485', '365998', '365870', '405453', '420465', '420156', '412439', '416412', '406432', '200137985', '419158', '405372', '363727', '365408', '404765', '365007', '200097114', '51034', '406226', '365465', '200137890', '365003', '404928', '365529', '365983', '200126263', '404021', '200001940', '365879', '416971', '364557', '364927', '406721', '415132', '404863', '366626', '406316', '406373', '405999', '200001499', '364636', '404831', '366369', '200142172', '200142169', '420351', '365180', '414272', '422742', '413369', '200000356', '418643', '419767', '416490', '366409', '364909', '365271', '365011', '406246', '348516', '417943', '402939', '413249', '422719', '406500', '418578', '57380', '402703', '419314', '365912', '364779', '419891', '405240', '406496', '406046', '411984', '420471', '412560', '405072', '417054', '200126244', '200137629', '366510', '406272', '200000655', '200001910', '405870', '200037082', '416136', '365359', '411397', '364699', '406357', '409423', '416528', '366545', '406367', '419706', '411973', '364729', '364912', '200136676', '419925', '200000562', '365459', '64043', '418551', '419763', '422633', '39616', '200009007', '417587', '348497', '406466', '365069', '200130407', '58262', '365621', '410773', '364795', '365671', '416956', '412840', '364945', '365968', '420398', '365654', '405643', '403153', '418996', '419672', '365487', '416360', '413295', '415813', '200054817', '365175', '200139330', '364580', '406314', '419173', '200001469', '412972', '365111', '100000038', '200000034', '417665', '402782', '422607', '405276', '402619', '348512', '418885', '366617', '404581', '403719', '402400', '414238', '364778', '402780', '419234', '420495', '413294', '364968', '405281', '405715', '406031', '200032262', '365856', '365655', '200138925', '365716', '366407', '200011270', '200001618', '406323', '200127798', '422731', '402785', '405712', '200139463', '365349', '365077', '366599', '200100652', '411821', '418176', '402601', '200030451', '404979', '366374', '406593', '364944', '365437', '404715', '404062', '365497', '365952', '365987', '403611', '406179', '365038', '406195', '419023', '420314', '365877', '200000378', '200009151', '413819', '403898', '419870', '402887', '200130692', '365057', '419704', '412760', '364897', '363600', '418474', '200101623', '366371', '405554', '418510', '365436', '411836', '422740', '200000331', '422522', '404569', '414698', '419205', '365401', '404424', '364690', '405011', '403602', '200130473', '406237', '200131171', '200000484', '53681', '419904', '411777', '419795', '364991', '364706', '416674', '364620', '404741', '406697', '200057701', '8416', '300888', '365367', '365981', '405224', '365471', '406313', '420497', '200001855', '405725', 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'413601', '200126369', '406705', '366499', '405826', '365668', '413643', '403439', '413335', '404835', '404950', '416999', '365187', '412875', '412975', '402989', '415097', '405481', '422366', '200040849', '414038', '406038', '416974', '364914', '406107', '200095788', '420383', '405849', '365835', '422767', '411733', '406427', '364863', '412046', '366339', '200009148', '366491', '405973', '365956', '365324', '200001458', '366029', '364969', '419129', '200139397', '420217', '200001657', '200139416', '200000182', '406126', '200001435', '404836', '365079', '419566', '406720', '405830', '419104', '419948', '406388', '403795', '200127902', '405351', '406363', '416969', '403172', '413598', '410668', '200000264', '405329', '420282', '415378', '364615', '365421', '418749', '418031', '364990', '404086', '200131741', '412536', '200001941', '200018558', '365660', '403960', '402413', '364660', '200142555', '405838', '418542', '405612', '364611', '418471', '200000535', '364821', '418965', '411403', '404261', '414609', '412610', '422453', '364753', '365616', '413192', '200130810', '402675', '352956', '62074', '419030', '405414', '413492', '406036', '412604', '413076', '405039', '365104', '417164', '200131181', '419150', '365760', '416064', '364745', '420396', '406243', '364686', '419800', '200130717', '412051', '404864', '365016', '405994', '200131165', '411843', '406290', '414164', '200090289', '419270', '366106', '405616', '418992', '364767', '365333', '402755', '365854', '402623', '365846', '200001765', '414398', '405667', '365045', '419313', '405759', '366568', '405089', '365501', '412567', '366018', '200046185', '200000667', '404605', '365589', '416591', '365619', '412931', '419417', '366571', '200128009', '419854', '366538', '405381', '406321', '365873', '419007', '11169', '200126763', '200001340', '409431', '200139390', '404824', '416572', '420455', '419002', '365834', '412336', '405025', '200000448', '412018', '416535', '405786', '415960', '200057706', '365206', '365641', '200137673', '417187', '365839', '420349', '422846', '418759', '419534', '406696', '420192', '405041', '418911', '200060803', '404922', '413559', '420002', '200090338', '414699', '200130808', '406362', '413408', '200089946', '200130600', '366569', '417179', '200130496', '365774', '366116', '365562', '415150', '405985', '412718', '406165', '366128', '411801', '406297', '419349', '405883', '416443', '405941', '200011854', '419652', '406091', '365629', '419725', '365713', '403659', '200090286', '200139472', '413474', '406090', '200083692', '413503', '405892', '412156', '405063', '417593', '419331', '346170', '418549', '402860', '366614', '405685', '346501', '412577', '364955', '418618', '200000139', '414678', '200137495', '364771', '405200', '412570', '418809', '405400', '364548', '419708', '364599', '200000444', '422894', '417601', '200000589', '200126355', '422235', '361657', '405655', '414625', '366496', '257439', '403609', '404077', '412132', '365973', '422383', '100000090', '414007', '413493', '415844', '365198', '365837', '365405', '406151', '366063', '404550', '418882', '406180', '406253', '404562', '404997', '200000497', '404305', '365384', '405343', '200131641', '412592', '411799', '200003811', '405589', '416734', '405665', '418682', '200001385', '365788', '404682', '352645', '402810', '366605', '403348', '412722', '419470', '417565', '406241', '365438', '403360', '200090279', '364595', '419858', '365804', '404558', '413564', '365301', '200001399', '415835', '200127558', '422375', '366600', '404160', '419999', '200001889', '200139286', '405016', '364629', '200131043', '402852', '405008', '365457', '200078292', '419765', '419906', '200000328', '419072', '365281', '200001284', '366365', '200139477', '200139347', '403852', '405764', '365505', '422198', '414668', '406767', '404188', '200136860', '418994', '418959', '365411', '200002016', '80084', '416955', '345249', '412988', '422214', '411908', '419126', '415050', '200126429', '413042', '414411', '422282', '418613', '406132', '365874', '364558', '417105', '365849', '402855', '403425', '420059', '366066', '414336', '405191', '361205', '419223', '402585', '405260', '413549', '406033', '365494', '406526', '406140', '366531', '422470', '411999', '200131163', '414581', '365795', '411951', '365961', '402929', '300024', '422502', '406277', '419544', '366126', '412688', '413957', '405657', '419468', '200000588', '413002', '402405', '403853', '420319', '418508', '406128', '418309', '406121', '402411', '411589', '422251', '413326', '418292', '365537', '411432', '366349', '200121869', '365240', '364701', '200051875', '418632', '403021', '365525', '418330', '413180', '418860', '419038', '419982', '419360', '404049', '405398', '410266', '406315', '365618', '365522', '365914', '413597', '414452', '405533', '200035829', '405691', '213980', '419057', '200100597', '365000', '422909', '406564', '100000014', '405741', '420228', '416158', '404892', '405504', '419912', '405545', '418571', '414690', '365286', '365878', '406094', '364573', '405695', '411967', '200137854', '420356', '365996', '405244', '405962', '364554', '419895', '100000088', '422473', '366549', '200137988', '419703', '200000126', '365630', '366584', '365533', '406110', '406634', '403739', '405983', '416400', '365114', '411573', '404910', '366383', '417118', '365047', '200057698', '405018', '406207', '200001870', '405472', '415409', '200001719', '364982', '366590', '54955', '422798', '200000565', '365633', '365087', '200066596', '412888', '417504'}\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(only_dg)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6317cd0d-ef16-4786-853f-6f521d556393",
-   "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/data_flux_stock.ipynb b/data_flux_stock.ipynb
new file mode 100644
index 0000000..8d55f5f
--- /dev/null
+++ b/data_flux_stock.ipynb
@@ -0,0 +1,597 @@
+{
+ "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
index af372db..b7529a7 100644
--- a/dataloader.ipynb
+++ b/dataloader.ipynb
@@ -193,7 +193,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.8"
+   "version": "3.13.11"
   }
  },
  "nbformat": 4,
diff --git a/detection_rupture.py b/detection_rupture.py
index efa2e02..45eb26d 100644
--- a/detection_rupture.py
+++ b/detection_rupture.py
@@ -84,3 +84,70 @@ def detect_ruptures(df, epsilon=0.05):
     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
index 5ef0314..09c341d 100644
--- a/function.py
+++ b/function.py
@@ -1,6 +1,36 @@
 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()
@@ -64,7 +94,7 @@ def evolution_3_comptes(df, id1, id2, id3):
     plt.plot(df3['Centralisation Date'], df3['Quantity - AUM'],
              marker='.', linestyle='-', label=f'Account {id3}')
 
-    plt.title("Évolution des AUM pour trois comptes")
+    plt.title("Evolution of AUM for three accounts")
     plt.xlabel("Date")
     plt.ylabel("Quantity - AUM")
     plt.grid(True)
diff --git a/rupture.ipynb b/rupture.ipynb
index 7db3580..4029df3 100644
--- a/rupture.ipynb
+++ b/rupture.ipynb
@@ -2,19 +2,22 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "132a1aa1-4cb9-49e7-9f45-c09dd8fd57c1",
+   "execution_count": 206,
+   "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",
@@ -26,6 +29,19 @@
     "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",
@@ -38,12 +54,13 @@
     "        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']"
+    "df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
+    "dg = flows_data['Flows ENSAE V2 -20251105.csv']"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 5,
    "id": "076209a7-f6b3-4b78-9179-e24ff38338e0",
    "metadata": {},
    "outputs": [],
@@ -53,13 +70,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 197,
    "id": "14c59f0f-676b-4d76-878a-1176cadfc9b1",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -72,7 +89,7 @@
     "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
     "\n",
-    "ruptures_df = detect_ruptures(df, 0.10)\n",
+    "ruptures_df = detect_ruptures(df, 0.05)\n",
     "\n",
     "# Copier pour éviter les effets de bord\n",
     "df_plot = ruptures_df.copy()\n",
@@ -84,17 +101,1113 @@
     "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.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": 8,
+   "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": 273,
+   "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,'200126356', '200126649')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 406,
+   "id": "ed3cb5e9-7788-4a34-8b02-d6ca8196eac1",
+   "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,'406169','200090347','200127306')\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",
+       "    }\n",
+       "\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>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",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>old_account</th>\n",
+       "      <th>new_account</th>\n",
+       "      <th>isin</th>\n",
+       "      <th>old_value</th>\n",
+       "      <th>new_value</th>\n",
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+       "      <th>check</th>\n",
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+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>188</th>\n",
+       "      <td>2018-02-28</td>\n",
+       "      <td>200000491</td>\n",
+       "      <td>200089970</td>\n",
+       "      <td>FR0010135103</td>\n",
+       "      <td>12678.000</td>\n",
+       "      <td>13481.000</td>\n",
+       "      <td>0.063338</td>\n",
+       "      <td>False</td>\n",
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+       "    <tr>\n",
+       "      <th>273</th>\n",
+       "      <td>2024-11-30</td>\n",
+       "      <td>200127497</td>\n",
+       "      <td>200139377</td>\n",
+       "      <td>LU0592698954</td>\n",
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+       "      <td>516.545</td>\n",
+       "      <td>0.070361</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
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+       "      <th>278</th>\n",
+       "      <td>2020-03-31</td>\n",
+       "      <td>200050278</td>\n",
+       "      <td>422653</td>\n",
+       "      <td>LU0992625839</td>\n",
+       "      <td>848.114</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>-0.261335</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>285</th>\n",
+       "      <td>2020-03-31</td>\n",
+       "      <td>200050278</td>\n",
+       "      <td>422653</td>\n",
+       "      <td>LU0992630599</td>\n",
+       "      <td>841.974</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>-0.259443</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>287</th>\n",
+       "      <td>2020-03-31</td>\n",
+       "      <td>200050278</td>\n",
+       "      <td>422653</td>\n",
+       "      <td>LU0992628858</td>\n",
+       "      <td>273.202</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>-0.084184</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "    <tr>\n",
+       "      <th>4382</th>\n",
+       "      <td>2019-08-31</td>\n",
+       "      <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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4384</th>\n",
+       "      <td>2019-08-31</td>\n",
+       "      <td>200126356</td>\n",
+       "      <td>200126671</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4389</th>\n",
+       "      <td>2020-02-29</td>\n",
+       "      <td>200126473</td>\n",
+       "      <td>200127826</td>\n",
+       "      <td>LU0992630912</td>\n",
+       "      <td>495.630</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>-1.000000</td>\n",
+       "      <td>False</td>\n",
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+       "    <tr>\n",
+       "      <th>4391</th>\n",
+       "      <td>2020-03-31</td>\n",
+       "      <td>200126869</td>\n",
+       "      <td>200101638</td>\n",
+       "      <td>LU0992630243</td>\n",
+       "      <td>268.362</td>\n",
+       "      <td>293.685</td>\n",
+       "      <td>0.094361</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <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",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>192 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           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]"
+      ]
+     },
+     "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": [
+    {
+     "data": {
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+       "      <th></th>\n",
+       "      <th>date</th>\n",
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+       "      <th>isin</th>\n",
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+       "      <th>new_value</th>\n",
+       "      <th>relative_change</th>\n",
+       "      <th>check</th>\n",
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+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>131</th>\n",
+       "      <td>2019-12-31</td>\n",
+       "      <td>418209</td>\n",
+       "      <td>200127581</td>\n",
+       "      <td>LU0164455502</td>\n",
+       "      <td>3575.0</td>\n",
+       "      <td>3450.0</td>\n",
+       "      <td>-0.034965</td>\n",
+       "      <td>True</td>\n",
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+       "    <tr>\n",
+       "      <th>132</th>\n",
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+       "      <th>133</th>\n",
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+       "      <td>200127581</td>\n",
+       "      <td>FR0010148981</td>\n",
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+       "    <tr>\n",
+       "      <th>134</th>\n",
+       "      <td>2019-12-31</td>\n",
+       "      <td>418209</td>\n",
+       "      <td>200127581</td>\n",
+       "      <td>FR0010149302</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "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  "
+      ]
+     },
+     "execution_count": 301,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "result_ISIN[result_ISIN['new_account'] == '200127581']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 302,
+   "id": "cd99ad4e-9bb3-4542-8cd9-14a799169988",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "    .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>date</th>\n",
+       "      <th>old_account</th>\n",
+       "      <th>new_account</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>188</th>\n",
+       "      <td>2018-02-28</td>\n",
+       "      <td>200000491</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>273</th>\n",
+       "      <td>2024-11-30</td>\n",
+       "      <td>200127497</td>\n",
+       "      <td>200139377</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>278</th>\n",
+       "      <td>2020-03-31</td>\n",
+       "      <td>200050278</td>\n",
+       "      <td>422653</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>303</th>\n",
+       "      <td>2020-03-31</td>\n",
+       "      <td>200071859</td>\n",
+       "      <td>415661</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>330</th>\n",
+       "      <td>2020-10-31</td>\n",
+       "      <td>200084492</td>\n",
+       "      <td>414547</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4382</th>\n",
+       "      <td>2019-08-31</td>\n",
+       "      <td>200126356</td>\n",
+       "      <td>200126649</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4384</th>\n",
+       "      <td>2019-08-31</td>\n",
+       "      <td>200126356</td>\n",
+       "      <td>200126671</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4389</th>\n",
+       "      <td>2020-02-29</td>\n",
+       "      <td>200126473</td>\n",
+       "      <td>200127826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4391</th>\n",
+       "      <td>2020-03-31</td>\n",
+       "      <td>200126869</td>\n",
+       "      <td>200101638</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4395</th>\n",
+       "      <td>2025-02-28</td>\n",
+       "      <td>200139432</td>\n",
+       "      <td>200142171</td>\n",
+       "    </tr>\n",
+       "  </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": {
+      "image/png": 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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,
+   "id": "7124b4bc-9e17-4ad8-a863-800178c8a47e",
+   "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",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [date, old_account, new_account]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 306,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results_ISIN_unique[results_ISIN_unique['old_account'] == '200127581']"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4d571dba-c435-477b-a0a1-2550908c8f4a",
+   "id": "e95bab82-365e-4797-8c6d-ed08bd7d9fe3",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -116,7 +1229,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.8"
+   "version": "3.13.11"
   }
  },
  "nbformat": 4,