{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f6ea29f1",
   "metadata": {},
   "source": [
    "# Global Clustering \n",
    "\n",
    "**Sections:**\n",
    "1. Imports & Data Loading\n",
    "2. Monthly Panel Construction\n",
    "3. Feature Engineering (base + enriched)\n",
    "4. Global Clustering (all active accounts)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e727f666",
   "metadata": {},
   "source": [
    "## 0. Imports & Data Loading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9314f229-0b5d-4a4c-846c-869847d32c73",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import s3fs\n",
    "os.environ[\"AWS_ACCESS_KEY_ID\"] = 'UMMV3Z72A70MCCSRV17O'\n",
    "os.environ[\"AWS_SECRET_ACCESS_KEY\"] = 'wBFxaez78UPNW3BtchZOf4f238ZNXKnCexeGufaa'\n",
    "os.environ[\"AWS_SESSION_TOKEN\"] = 'eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.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.rffoTJijRiGK2DCDhXj5y8R31DRH1LWkTwuH_1lvU9qN_xJSTmBIM4uGR_zp7XpMnq_ePwVhlkoWN15cNUgjMA'\n",
    "os.environ[\"AWS_DEFAULT_REGION\"] = 'us-east-1'\n",
    "fs = s3fs.S3FileSystem(\n",
    "    client_kwargs={'endpoint_url': 'https://'+'minio-simple.lab.groupe-genes.fr'},\n",
    "    key = os.environ[\"AWS_ACCESS_KEY_ID\"], \n",
    "    secret = os.environ[\"AWS_SECRET_ACCESS_KEY\"], \n",
    "    token = os.environ[\"AWS_SESSION_TOKEN\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "61e33897",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.preprocessing import RobustScaler\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.metrics import silhouette_score, davies_bouldin_score, pairwise_distances\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "sns.set_style(\"whitegrid\")\n",
    "pd.set_option(\"display.max_columns\", 100)\n",
    "\n",
    "EPS          = 1e-9\n",
    "RANDOM_STATE = 42\n",
    "\n",
    "# Column names\n",
    "ID_COL       = \"Registrar Account - ID\"\n",
    "ISIN_COL     = \"Product - Isin\"\n",
    "FUND_COL     = \"Product - Fund\"\n",
    "ASSET_COL    = \"Product - Asset Type\"\n",
    "FLOW_DATE_COL = \"Centralisation Date\"\n",
    "AUM_DATE_COL  = \"Centralisation Date\"\n",
    "FLOW_QTY_COL  = \"Quantity - NetFlows\"\n",
    "FLOW_SUB_COL  = \"Quantity - Subscription\"\n",
    "FLOW_RED_COL  = \"Quantity - Redemption\"\n",
    "AUM_QTY_COL   = \"Quantity - AUM\"\n",
    "AUM_VAL_COL   = \"Value - AUM €\"\n",
    "REGION_COL    = \"Registrar Account - Region\"\n",
    "COUNTRY_COL   = \"RegistrarAccount - Country\"\n",
    "NAV_DATE_COL  = \"Dat\"\n",
    "NAV_ISIN_COL  = \"Isin\"\n",
    "NAV_PRICE_COL = \"Price (TF PartPrice)\"\n",
    "NAV_BENCH_COL = \"PriceBench\"\n",
    "RATE_DATE_COL = \"Date\"\n",
    "RATE_VAL_COL  = \"Yld to Maturity\"\n",
    "\n",
    "#external data projet-bdc-data /carmignac /Data Modélisation /Nav\n",
    "PATH_NAV = \"s3://projet-bdc-data/carmignac/Data Modélisation/Nav/NAV_Bench_data.csv\" #C’est la table de valorisation / performance du produit.\n",
    "PATH_RATES = \"s3://projet-bdc-data/carmignac/Data Modélisation/market data/esterRates.csv\"\n",
    "\n",
    "# optional competitors\n",
    "PATH_COMP_FLOWS = \"s3://projet-bdc-data/carmignac/Data Modélisation/competitors/daily_estimated_flows.csv\"\n",
    "PATH_COMP_PERF = \"s3://projet-bdc-data/carmignac/Data Modélisation/competitors/weekly_perf_full.csv\"\n",
    "PATH_PEERS      = \"s3://projet-bdc-carmignac-g3/peers/CAD_peers.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eb3b2908",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "flows: (2574461, 26)\n",
      "aum:   (4880297, 19)\n",
      "nav:   (623914, 6)\n"
     ]
    }
   ],
   "source": [
    "df_flows = pd.read_csv(\"flows.csv\",         low_memory=False)\n",
    "df_aum   = df_aum = pd.read_csv(\"s3://projet-bdc-carmignac-g3/paco/AUM_repaired.csv\", low_memory=False)\n",
    "df_nav   = pd.read_csv(PATH_NAV,   sep=\";\")\n",
    "df_rates = pd.read_csv(PATH_RATES, sep=\";\")\n",
    "\n",
    "# Date parsing\n",
    "for df, col in [\n",
    "    (df_flows, FLOW_DATE_COL), (df_aum, AUM_DATE_COL),\n",
    "    (df_nav, NAV_DATE_COL),    (df_rates, RATE_DATE_COL)\n",
    "]:\n",
    "    df[col] = pd.to_datetime(df[col], errors=\"coerce\")\n",
    "\n",
    "# Month column\n",
    "for df, col in [(df_flows, FLOW_DATE_COL), (df_aum, AUM_DATE_COL),\n",
    "                (df_nav, NAV_DATE_COL),    (df_rates, RATE_DATE_COL)]:\n",
    "    df[\"month\"] = df[col].dt.to_period(\"M\").dt.to_timestamp()\n",
    "\n",
    "# Numeric coercion\n",
    "for col in [FLOW_QTY_COL, FLOW_SUB_COL, FLOW_RED_COL]:\n",
    "    df_flows[col] = pd.to_numeric(df_flows[col], errors=\"coerce\")\n",
    "for col in [AUM_QTY_COL, AUM_VAL_COL]:\n",
    "    df_aum[col] = pd.to_numeric(df_aum[col], errors=\"coerce\")\n",
    "for col in [NAV_PRICE_COL, NAV_BENCH_COL]:\n",
    "    df_nav[col] = pd.to_numeric(df_nav[col], errors=\"coerce\")\n",
    "df_rates[RATE_VAL_COL] = pd.to_numeric(df_rates[RATE_VAL_COL], errors=\"coerce\")\n",
    "\n",
    "# ISIN as string\n",
    "for df in [df_flows, df_aum]:\n",
    "    df[ISIN_COL] = df[ISIN_COL].astype(str).str.strip()\n",
    "df_nav[NAV_ISIN_COL] = df_nav[NAV_ISIN_COL].astype(str).str.strip()\n",
    "\n",
    "print(\"flows:\", df_flows.shape)\n",
    "print(\"aum:  \", df_aum.shape)\n",
    "print(\"nav:  \", df_nav.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5929db69",
   "metadata": {},
   "source": [
    "## 1. Monthly Panel Construction\n",
    "\n",
    "Build a full outer join of AUM and flows at (account, ISIN, month) granularity,\n",
    "then enrich with NAV performance and macro rates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "d36d0a70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Panel shape: (4791501, 20)\n"
     ]
    }
   ],
   "source": [
    "# --- Flows aggregated to monthly ---\n",
    "df_flows_m = (\n",
    "    df_flows\n",
    "    .dropna(subset=[ID_COL, ISIN_COL, \"month\"])\n",
    "    .assign(\n",
    "        gross_flow_qty = lambda x: x[FLOW_QTY_COL].abs(),\n",
    "        sub_qty        = lambda x: x[FLOW_SUB_COL].fillna(0),\n",
    "        red_qty        = lambda x: x[FLOW_RED_COL].fillna(0)\n",
    "    )\n",
    "    .groupby([ID_COL, ISIN_COL, \"month\"], as_index=False)\n",
    "    .agg(\n",
    "        net_flow_qty   = (FLOW_QTY_COL,     \"sum\"),\n",
    "        gross_flow_qty = (\"gross_flow_qty\",  \"sum\"),\n",
    "        sub_qty        = (\"sub_qty\",         \"sum\"),\n",
    "        red_qty        = (\"red_qty\",         \"sum\"),\n",
    "        n_tx           = (FLOW_QTY_COL,     \"size\"),\n",
    "        region         = (REGION_COL,       \"last\"),\n",
    "        country        = (COUNTRY_COL,      \"last\")\n",
    "    )\n",
    ")\n",
    "\n",
    "# --- AUM aggregated to monthly ---\n",
    "df_aum_m = (\n",
    "    df_aum\n",
    "    .dropna(subset=[ID_COL, ISIN_COL, \"month\"])\n",
    "    .groupby([ID_COL, ISIN_COL, \"month\"], as_index=False)\n",
    "    .agg(\n",
    "        aum_qty  = (AUM_QTY_COL, \"sum\"),\n",
    "        aum_val  = (AUM_VAL_COL, \"sum\"),\n",
    "        fund     = (FUND_COL,    \"last\"),\n",
    "        asset_type = (ASSET_COL, \"last\"),\n",
    "        region   = (REGION_COL,  \"last\"),\n",
    "        country  = (COUNTRY_COL, \"last\")\n",
    "    )\n",
    ")\n",
    "\n",
    "# --- Full outer join ---\n",
    "keys = pd.concat([\n",
    "    df_flows_m[[ID_COL, ISIN_COL, \"month\"]],\n",
    "    df_aum_m[[ID_COL, ISIN_COL, \"month\"]]\n",
    "]).drop_duplicates()\n",
    "\n",
    "df_rel_m = (\n",
    "    keys\n",
    "    .merge(df_aum_m,   on=[ID_COL, ISIN_COL, \"month\"], how=\"left\")\n",
    "    .merge(df_flows_m, on=[ID_COL, ISIN_COL, \"month\"], how=\"left\", suffixes=(\"\", \"_flow\"))\n",
    ")\n",
    "\n",
    "for c in [\"aum_qty\",\"aum_val\",\"net_flow_qty\",\"gross_flow_qty\",\"sub_qty\",\"red_qty\",\"n_tx\"]:\n",
    "    df_rel_m[c] = df_rel_m[c].fillna(0)\n",
    "\n",
    "df_rel_m[\"region\"]  = df_rel_m[\"region\"].fillna(df_rel_m.get(\"region_flow\"))\n",
    "df_rel_m[\"country\"] = df_rel_m[\"country\"].fillna(df_rel_m.get(\"country_flow\"))\n",
    "\n",
    "# --- Active / holding flags ---\n",
    "df_rel_m[\"active_rel_month\"]  = (df_rel_m[\"gross_flow_qty\"] > 0).astype(int)\n",
    "df_rel_m[\"holding_rel_month\"] = (df_rel_m[\"aum_qty\"] > 0).astype(int)\n",
    "df_rel_m[\"flow_to_aum_rel\"]   = df_rel_m[\"net_flow_qty\"] / (df_rel_m[\"aum_qty\"].abs() + EPS)\n",
    "df_rel_m[\"turnover_rel\"]      = df_rel_m[\"gross_flow_qty\"] / (df_rel_m[\"aum_qty\"].abs() + EPS)\n",
    "\n",
    "print(\"Panel shape:\", df_rel_m.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "965d2564",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enriched panel shape: (4791501, 24)\n"
     ]
    }
   ],
   "source": [
    "# --- NAV & benchmark returns ---\n",
    "df_nav_m = (\n",
    "    df_nav\n",
    "    .dropna(subset=[NAV_ISIN_COL, \"month\", NAV_PRICE_COL])\n",
    "    .sort_values([NAV_ISIN_COL, \"month\"])\n",
    "    .groupby([NAV_ISIN_COL, \"month\"], as_index=False)\n",
    "    .tail(1).copy()\n",
    ")\n",
    "df_nav_m[\"ret_fund_m\"]     = df_nav_m.groupby(NAV_ISIN_COL)[NAV_PRICE_COL].pct_change()\n",
    "df_nav_m[\"ret_bench_m\"]    = df_nav_m.groupby(NAV_ISIN_COL)[NAV_BENCH_COL].pct_change()\n",
    "df_nav_m[\"active_return_m\"] = df_nav_m[\"ret_fund_m\"] - df_nav_m[\"ret_bench_m\"]\n",
    "df_nav_m = df_nav_m.rename(columns={NAV_ISIN_COL: ISIN_COL})[\n",
    "    [ISIN_COL, \"month\", \"ret_fund_m\", \"ret_bench_m\", \"active_return_m\"]\n",
    "]\n",
    "\n",
    "# --- Interest rates ---\n",
    "df_rates_m = (\n",
    "    df_rates\n",
    "    .dropna(subset=[\"month\", RATE_VAL_COL])\n",
    "    .sort_values(RATE_DATE_COL)\n",
    "    .groupby(\"month\", as_index=False).tail(1).copy()\n",
    ")\n",
    "df_rates_m[\"delta_rate_m\"] = df_rates_m[RATE_VAL_COL].diff()\n",
    "df_rates_m = df_rates_m[[\"month\", RATE_VAL_COL, \"delta_rate_m\"]]\n",
    "\n",
    "# --- Merge into panel ---\n",
    "df_rel_m = df_rel_m.merge(df_nav_m,                        on=[ISIN_COL, \"month\"], how=\"left\")\n",
    "df_rel_m = df_rel_m.merge(df_rates_m[[\"month\",\"delta_rate_m\"]], on=\"month\",        how=\"left\")\n",
    "\n",
    "for c in [\"ret_fund_m\",\"ret_bench_m\",\"active_return_m\",\"delta_rate_m\"]:\n",
    "    df_rel_m[c] = df_rel_m[c].fillna(0)\n",
    "\n",
    "print(\"Enriched panel shape:\", df_rel_m.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ef7bba8",
   "metadata": {},
   "source": [
    "## 2. Feature Engineering\n",
    "\n",
    "### 2a. Monthly account-level aggregation\n",
    "### 2b. ISIN-level features (where / when investors put their money)\n",
    "### 2c. Asset type & fund composition features\n",
    "### 2d. Rolling metrics (1M / 3M / 6M)\n",
    "### 2e. Behavioural features (entry/exit, momentum, rate sensitivity)\n",
    "### 2f. Trend & beta features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "db5a297c-78ea-4048-98f8-624612fbb60d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "df_month shape: (931333, 21)\n",
      "ISIN-level client features: (12584, 12)\n",
      "Asset shares: (7475, 6)\n",
      "Fund shares:  (6562, 11)\n",
      "Rolling features: (12584, 3)\n",
      "df_client shape: (12584, 46)\n",
      "After outlier removal: 7179 accounts\n",
      "dfc shape: (7179, 60)\n",
      "gross_flow_to_aum: min=0.0000, max=270698.4708, nan=336, inf=0\n",
      "flow_direction_balance: min=-1.0000, max=1.0000, nan=1069, inf=0\n",
      "sub_share_mean: min=-0.0985, max=77.5673, nan=1069, inf=0\n",
      "redemption_bias: min=-154.1345, max=0.0828, nan=1069, inf=0\n",
      "entry_rate_per_isin: min=0.0217, max=5.0000, nan=0, inf=0\n",
      "aum_final_to_peak: min=-2.4841, max=1.0000, nan=0, inf=0\n",
      "flow_roll3m_norm: min=-4935000000000.0000, max=1400000000000.0000, nan=0, inf=0\n",
      "flow_roll6m_norm: min=-8699999999999.9990, max=322428000000.0000, nan=0, inf=0\n"
     ]
    }
   ],
   "source": [
    "# ============================================================\n",
    "# 2a. Monthly account-level panel\n",
    "# ============================================================\n",
    "tmp = df_rel_m.copy()\n",
    "tmp[\"isin_held_flag\"]   = (tmp[\"aum_qty\"] > 0).astype(int)\n",
    "tmp[\"isin_active_flag\"] = (tmp[\"gross_flow_qty\"] > 0).astype(int)\n",
    "\n",
    "df_month = (\n",
    "    tmp.groupby([ID_COL, \"month\"], as_index=False)\n",
    "    .agg(\n",
    "        aum_qty        = (\"aum_qty\",         \"sum\"),\n",
    "        aum_val        = (\"aum_val\",         \"sum\"),\n",
    "        net_flow_qty   = (\"net_flow_qty\",    \"sum\"),\n",
    "        gross_flow_qty = (\"gross_flow_qty\",  \"sum\"),\n",
    "        sub_qty        = (\"sub_qty\",         \"sum\"),\n",
    "        red_qty        = (\"red_qty\",         \"sum\"),\n",
    "        n_tx           = (\"n_tx\",            \"sum\"),\n",
    "        n_isin_held    = (\"isin_held_flag\",  \"sum\"),\n",
    "        n_isin_active  = (\"isin_active_flag\",\"sum\"),\n",
    "        delta_rate_m   = (\"delta_rate_m\",    \"first\"),\n",
    "        region         = (\"region\",          \"first\"),\n",
    "        country        = (\"country\",         \"first\"),\n",
    "    )\n",
    "    .sort_values([ID_COL, \"month\"])\n",
    "    .reset_index(drop=True)\n",
    ")\n",
    "\n",
    "df_month[\"active_month\"] = (df_month[\"gross_flow_qty\"] > 0).astype(int)\n",
    "\n",
    "df_month[\"flow_to_aum_m\"] = np.where(\n",
    "    df_month[\"aum_qty\"].abs() > 0,\n",
    "    df_month[\"net_flow_qty\"] / df_month[\"aum_qty\"].abs(),\n",
    "    np.nan\n",
    ")\n",
    "df_month[\"turnover_m\"] = np.where(\n",
    "    df_month[\"aum_qty\"].abs() > 0,\n",
    "    df_month[\"gross_flow_qty\"] / df_month[\"aum_qty\"].abs(),\n",
    "    np.nan\n",
    ")\n",
    "df_month[\"sub_share_m\"] = np.where(\n",
    "    df_month[\"gross_flow_qty\"] > 0,\n",
    "    df_month[\"sub_qty\"] / df_month[\"gross_flow_qty\"],\n",
    "    np.nan\n",
    ")\n",
    "df_month[\"red_share_m\"] = np.where(\n",
    "    df_month[\"gross_flow_qty\"] > 0,\n",
    "    df_month[\"red_qty\"] / df_month[\"gross_flow_qty\"],\n",
    "    np.nan\n",
    ")\n",
    "df_month[\"aum_peak_to_date\"] = df_month.groupby(ID_COL)[\"aum_qty\"].cummax()\n",
    "df_month[\"aum_drawdown\"] = np.where(\n",
    "    df_month[\"aum_peak_to_date\"] > 0,\n",
    "    1 - df_month[\"aum_qty\"] / df_month[\"aum_peak_to_date\"],\n",
    "    np.nan\n",
    ")\n",
    "\n",
    "print(\"df_month shape:\", df_month.shape)\n",
    "\n",
    "# ============================================================\n",
    "# 2b. ISIN-level features\n",
    "# ============================================================\n",
    "tmp = df_rel_m.sort_values([ID_COL, ISIN_COL, \"month\"]).copy()\n",
    "tmp[\"prev_aum\"]        = tmp.groupby([ID_COL, ISIN_COL])[\"aum_qty\"].shift(1)\n",
    "tmp[\"entry_event\"]     = ((tmp[\"prev_aum\"].fillna(0) <= 0) & (tmp[\"aum_qty\"] > 0)).astype(int)\n",
    "tmp[\"full_exit_event\"] = ((tmp[\"prev_aum\"] > 0) & (tmp[\"aum_qty\"] <= 0)).astype(int)\n",
    "\n",
    "# Lag de 1 mois pour la réaction à la performance (causalité correcte)\n",
    "tmp[\"ret_fund_m_lag1\"] = tmp.groupby([ID_COL, ISIN_COL])[\"ret_fund_m\"].shift(1)\n",
    "tmp[\"buy_on_perf\"]     = ((tmp[\"net_flow_qty\"] > 0) & (tmp[\"ret_fund_m_lag1\"] > 0)).astype(int)\n",
    "tmp[\"sell_on_perf\"]    = ((tmp[\"net_flow_qty\"] < 0) & (tmp[\"ret_fund_m_lag1\"] < 0)).astype(int)\n",
    "\n",
    "df_rel_feat = (\n",
    "    tmp.groupby([ID_COL, ISIN_COL], as_index=False)\n",
    "    .agg(\n",
    "        rel_n_months            = (\"month\",             \"nunique\"),\n",
    "        rel_active_months       = (\"active_rel_month\",  \"sum\"),\n",
    "        rel_holding_months      = (\"holding_rel_month\", \"sum\"),\n",
    "        rel_aum_mean            = (\"aum_qty\",           \"mean\"),\n",
    "        rel_turnover_mean       = (\"turnover_rel\",      \"mean\"),\n",
    "        rel_turnover_vol        = (\"turnover_rel\",      \"std\"),\n",
    "        rel_flow_to_aum_vol     = (\"flow_to_aum_rel\",   \"std\"),\n",
    "        rel_n_tx                = (\"n_tx\",              \"sum\"),\n",
    "        rel_full_exit_count     = (\"full_exit_event\",   \"sum\"),\n",
    "        rel_entry_count         = (\"entry_event\",       \"sum\"),\n",
    "        buy_on_perf_rate        = (\"buy_on_perf\",       \"mean\"),\n",
    "        sell_on_perf_rate       = (\"sell_on_perf\",      \"mean\"),\n",
    "    )\n",
    ")\n",
    "\n",
    "isin_aum = df_rel_feat.groupby(ID_COL)[\"rel_aum_mean\"].transform(\"sum\")\n",
    "df_rel_feat[\"isin_weight\"] = np.where(\n",
    "    isin_aum > 0,\n",
    "    df_rel_feat[\"rel_aum_mean\"] / isin_aum,\n",
    "    np.nan\n",
    ")\n",
    "hhi_isin = (\n",
    "    df_rel_feat.groupby(ID_COL)[\"isin_weight\"]\n",
    "    .apply(lambda w: np.sum(w**2))\n",
    "    .reset_index(name=\"hhi_isin\")\n",
    ")\n",
    "\n",
    "df_rel_client = (\n",
    "    df_rel_feat.groupby(ID_COL, as_index=False)\n",
    "    .agg(\n",
    "        n_isin_total                = (ISIN_COL,             \"nunique\"),\n",
    "        rel_turnover_mean_avg       = (\"rel_turnover_mean\",  \"mean\"),\n",
    "        rel_turnover_vol_avg        = (\"rel_turnover_vol\",   \"mean\"),\n",
    "        rel_flow_to_aum_vol_avg     = (\"rel_flow_to_aum_vol\",\"mean\"),\n",
    "        full_exit_count             = (\"rel_full_exit_count\",\"sum\"),\n",
    "        entry_count                 = (\"rel_entry_count\",    \"sum\"),\n",
    "        avg_holding_months_per_isin = (\"rel_holding_months\", \"mean\"),\n",
    "        max_holding_months_per_isin = (\"rel_holding_months\", \"max\"),\n",
    "        buy_on_perf_rate_avg        = (\"buy_on_perf_rate\",   \"mean\"),\n",
    "        sell_on_perf_rate_avg       = (\"sell_on_perf_rate\",  \"mean\"),\n",
    "    )\n",
    "    .merge(hhi_isin, on=ID_COL, how=\"left\")\n",
    ")\n",
    "\n",
    "print(\"ISIN-level client features:\", df_rel_client.shape)\n",
    "\n",
    "# ============================================================\n",
    "# 2c. Asset type & fund composition features\n",
    "# ============================================================\n",
    "aum_by_asset = (\n",
    "    df_aum.dropna(subset=[ID_COL, ASSET_COL])\n",
    "    .groupby([ID_COL, ASSET_COL], as_index=False)[AUM_VAL_COL].sum()\n",
    ")\n",
    "total_aum_acc = aum_by_asset.groupby(ID_COL)[AUM_VAL_COL].sum().rename(\"total_aum\")\n",
    "aum_by_asset  = aum_by_asset.merge(total_aum_acc, on=ID_COL)\n",
    "aum_by_asset[\"share\"] = np.where(\n",
    "    aum_by_asset[\"total_aum\"] > 0,\n",
    "    aum_by_asset[AUM_VAL_COL] / aum_by_asset[\"total_aum\"],\n",
    "    np.nan\n",
    ")\n",
    "asset_shares = (\n",
    "    aum_by_asset.pivot_table(index=ID_COL, columns=ASSET_COL, values=\"share\", aggfunc=\"mean\")\n",
    "    .fillna(0).reset_index()\n",
    ")\n",
    "asset_shares.columns = [ID_COL] + [\n",
    "    f\"share_asset_{c.lower().replace(' ','_')}\" for c in asset_shares.columns[1:]\n",
    "]\n",
    "\n",
    "aum_by_fund = (\n",
    "    df_aum.dropna(subset=[ID_COL, FUND_COL])\n",
    "    .groupby([ID_COL, FUND_COL], as_index=False)[AUM_VAL_COL].sum()\n",
    ")\n",
    "aum_by_fund  = aum_by_fund.merge(total_aum_acc, on=ID_COL)\n",
    "aum_by_fund[\"share\"] = np.where(\n",
    "    aum_by_fund[\"total_aum\"] > 0,\n",
    "    aum_by_fund[AUM_VAL_COL] / aum_by_fund[\"total_aum\"],\n",
    "    np.nan\n",
    ")\n",
    "top_funds = aum_by_fund.groupby(FUND_COL)[AUM_VAL_COL].sum().nlargest(10).index\n",
    "fund_shares = (\n",
    "    aum_by_fund[aum_by_fund[FUND_COL].isin(top_funds)]\n",
    "    .pivot_table(index=ID_COL, columns=FUND_COL, values=\"share\", aggfunc=\"mean\")\n",
    "    .fillna(0).reset_index()\n",
    ")\n",
    "fund_shares.columns = [ID_COL] + [\n",
    "    f\"share_fund_{c.lower().replace(' ','_')[:30]}\" for c in fund_shares.columns[1:]\n",
    "]\n",
    "\n",
    "print(\"Asset shares:\", asset_shares.shape)\n",
    "print(\"Fund shares: \", fund_shares.shape)\n",
    "\n",
    "# ============================================================\n",
    "# 2d. Rolling metrics — supprimées car trop sparse (80-90% zéros)\n",
    "# On garde uniquement flow_roll3m et flow_roll6m comme signaux\n",
    "# de tendance récente, normalisés par l'AUM\n",
    "# ============================================================\n",
    "df_month_s = df_month.sort_values([ID_COL, \"month\"]).copy()\n",
    "\n",
    "for w in [3, 6]:\n",
    "    df_month_s[f\"flow_roll{w}m_norm\"] = (\n",
    "        df_month_s.groupby(ID_COL)\n",
    "        .apply(lambda g: (\n",
    "            g[\"net_flow_qty\"].rolling(w, min_periods=1).sum() /\n",
    "            (g[\"aum_qty\"].abs().rolling(w, min_periods=1).mean() + EPS)\n",
    "        ))\n",
    "        .reset_index(level=0, drop=True)\n",
    "    )\n",
    "\n",
    "rolling_feats = (\n",
    "    df_month_s.groupby(ID_COL, as_index=False)\n",
    "    .last()[[ID_COL, \"flow_roll3m_norm\", \"flow_roll6m_norm\"]]\n",
    ")\n",
    "\n",
    "print(\"Rolling features:\", rolling_feats.shape)\n",
    "\n",
    "# ============================================================\n",
    "# 2e. Static client features\n",
    "# ============================================================\n",
    "df_client = (\n",
    "    df_month.groupby(ID_COL, as_index=False)\n",
    "    .agg(\n",
    "        n_months           = (\"month\",          \"nunique\"),\n",
    "        n_active_months    = (\"active_month\",   \"sum\"),\n",
    "        flow_freq          = (\"active_month\",   \"mean\"),\n",
    "        aum_qty_mean       = (\"aum_qty\",        \"mean\"),\n",
    "        aum_qty_median     = (\"aum_qty\",        \"median\"),\n",
    "        aum_qty_max        = (\"aum_qty\",        \"max\"),\n",
    "        aum_qty_last       = (\"aum_qty\",        \"last\"),\n",
    "        net_flow_qty_sum   = (\"net_flow_qty\",   \"sum\"),\n",
    "        gross_flow_qty_sum = (\"gross_flow_qty\", \"sum\"),\n",
    "        sub_qty_sum        = (\"sub_qty\",        \"sum\"),\n",
    "        red_qty_sum        = (\"red_qty\",        \"sum\"),\n",
    "        n_tx_total         = (\"n_tx\",           \"sum\"),\n",
    "        avg_n_isin_held    = (\"n_isin_held\",    \"mean\"),\n",
    "        max_n_isin_held    = (\"n_isin_held\",    \"max\"),\n",
    "        aum_drawdown_last  = (\"aum_drawdown\",   \"last\"),\n",
    "        region             = (\"region\",         \"last\"),\n",
    "        country            = (\"country\",        \"last\"),\n",
    "    )\n",
    ")\n",
    "\n",
    "df_client = (\n",
    "    df_client\n",
    "    .merge(df_rel_client, on=ID_COL, how=\"left\")\n",
    "    .merge(asset_shares,  on=ID_COL, how=\"left\")\n",
    "    .merge(fund_shares,   on=ID_COL, how=\"left\")\n",
    "    .merge(rolling_feats, on=ID_COL, how=\"left\")\n",
    ")\n",
    "\n",
    "print(\"df_client shape:\", df_client.shape)\n",
    "\n",
    "# ============================================================\n",
    "# 2f. Engineered ratios + filtres\n",
    "# ============================================================\n",
    "dfc = df_client.copy()\n",
    "\n",
    "dfc[\"log_aum_qty_mean\"] = np.log1p(dfc[\"aum_qty_mean\"].clip(lower=0))\n",
    "\n",
    "dfc[\"gross_flow_to_aum\"] = np.where(\n",
    "    dfc[\"aum_qty_mean\"] > 1,\n",
    "    dfc[\"gross_flow_qty_sum\"] / dfc[\"aum_qty_mean\"],\n",
    "    np.nan\n",
    ")\n",
    "dfc[\"flow_direction_balance\"] = np.where(\n",
    "    dfc[\"gross_flow_qty_sum\"] > 0,\n",
    "    dfc[\"net_flow_qty_sum\"] / dfc[\"gross_flow_qty_sum\"],\n",
    "    np.nan\n",
    ")\n",
    "dfc[\"sub_share_mean\"] = np.where(\n",
    "    dfc[\"gross_flow_qty_sum\"] > 0,\n",
    "    dfc[\"sub_qty_sum\"] / dfc[\"gross_flow_qty_sum\"],\n",
    "    np.nan\n",
    ")\n",
    "dfc[\"redemption_bias\"] = np.where(\n",
    "    dfc[\"gross_flow_qty_sum\"] > 0,\n",
    "    (dfc[\"red_qty_sum\"] - dfc[\"sub_qty_sum\"]) / dfc[\"gross_flow_qty_sum\"],\n",
    "    np.nan\n",
    ")\n",
    "dfc[\"activity_intensity\"] = np.where(\n",
    "    dfc[\"n_months\"] > 0,\n",
    "    dfc[\"n_tx_total\"] / dfc[\"n_months\"],\n",
    "    np.nan\n",
    ")\n",
    "dfc[\"exit_rate_per_isin\"] = np.where(\n",
    "    dfc[\"n_isin_total\"] > 0,\n",
    "    dfc[\"full_exit_count\"] / dfc[\"n_isin_total\"],\n",
    "    np.nan\n",
    ")\n",
    "dfc[\"entry_rate_per_isin\"] = np.where(\n",
    "    dfc[\"n_isin_total\"] > 0,\n",
    "    dfc[\"entry_count\"] / dfc[\"n_isin_total\"],\n",
    "    np.nan\n",
    ")\n",
    "dfc[\"aum_final_to_peak\"] = np.where(\n",
    "    dfc[\"aum_qty_max\"] > 0,\n",
    "    dfc[\"aum_qty_last\"] / dfc[\"aum_qty_max\"],\n",
    "    np.nan\n",
    ")\n",
    "dfc[\"aum_drawdown_last\"] = dfc[\"aum_drawdown_last\"].clip(0, 1)\n",
    "\n",
    "# Log-transforms sur variables de taille brute (non utilisées en clustering)\n",
    "for col in [\"aum_qty_mean\", \"gross_flow_qty_sum\", \"n_tx_total\"]:\n",
    "    dfc[f\"log_{col}\"] = np.log1p(dfc[col].clip(lower=0))\n",
    "\n",
    "# Filtres qualité\n",
    "dfc = dfc[(dfc[\"n_months\"] >= 6) & (dfc[\"aum_qty_mean\"] > 0)].copy()\n",
    "\n",
    "# Retrait des outliers sur variables de taille\n",
    "for col in [\"aum_qty_mean\", \"gross_flow_qty_sum\", \"n_tx_total\"]:\n",
    "    cap = dfc[col].quantile(0.99)\n",
    "    dfc = dfc[dfc[col] <= cap].copy()\n",
    "\n",
    "print(f\"After outlier removal: {len(dfc)} accounts\")\n",
    "\n",
    "# Regroupement géographique\n",
    "top_countries = dfc[\"country\"].fillna(\"Unknown\").value_counts().head(10).index\n",
    "top_regions   = dfc[\"region\"].fillna(\"Unknown\").value_counts().head(10).index\n",
    "dfc[\"country_grp\"] = np.where(dfc[\"country\"].isin(top_countries), dfc[\"country\"], \"Other\")\n",
    "dfc[\"region_grp\"]  = np.where(dfc[\"region\"].isin(top_regions),   dfc[\"region\"],  \"Other\")\n",
    "\n",
    "df_last_active = (\n",
    "    df_month[df_month[\"active_month\"] == 1]\n",
    "    .groupby(ID_COL)[\"month\"]\n",
    "    .max()\n",
    "    .reset_index(name=\"last_active_month\")\n",
    ")\n",
    "reference_date = df_month[\"month\"].max()\n",
    "df_last_active[\"months_since_last_tx\"] = (\n",
    "    (reference_date.to_period(\"M\") - df_last_active[\"last_active_month\"].dt.to_period(\"M\"))\n",
    "    .apply(lambda x: x.n)\n",
    ")\n",
    "dfc = dfc.merge(df_last_active[[ID_COL, \"months_since_last_tx\"]], on=ID_COL, how=\"left\")\n",
    "max_months = dfc[\"months_since_last_tx\"].max()\n",
    "dfc[\"months_since_last_tx\"] = dfc[\"months_since_last_tx\"].fillna(max_months + 1)\n",
    "\n",
    "print(\"dfc shape:\", dfc.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d180b613",
   "metadata": {},
   "source": [
    "## 3. Global Clustering (all active accounts)\n",
    "\n",
    "Baseline clustering on all accounts with sufficient history."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55ab41d3-20f6-4559-8e38-68420b4230b1",
   "metadata": {},
   "source": [
    "**Feature set final retenu**\n",
    "\n",
    "- flow_freq : proportion de mois avec au moins une transaction — mesure la fréquence globale d'activité du compte\n",
    "- gross_flow_to_aum : volume brut de flux rapporté à l'AUM moyen — mesure l'intensité des transactions indépendamment de leur direction, après clip p90 et log-transform\n",
    "- n_isin_total : nombre total d'ISINs distincts détenus sur toute la période — capte l'étendue du portefeuille exploré\n",
    "- avg_holding_months_per_isin : durée moyenne de détention par ISIN — capte la fidélité aux produits\n",
    "- exit_rate_per_isin : nombre moyen de sorties complètes par ISIN — mesure la propension à liquider ses positions\n",
    "- flow_direction_balance : ratio flux nets sur flux bruts — distingue les acheteurs nets des vendeurs nets sur l'ensemble de la période\n",
    "- log_aum_qty_mean : logarithme de l'AUM moyen — seule variable de taille retenue, incluse pour distinguer des comportements identiques sur des niveaux d'engagement très différents\n",
    "- months_since_last_tx : nombre de mois écoulés depuis la dernière transaction — variable de récence, la plus discriminante du set (ratio inter/total de 0.89)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "353c7d48-4644-4427-ac4b-02e3f3e31690",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "flow_freq — min=0.0000, max=1.0000, valeurs > 1 : 0\n",
      "Accounts: 7179 | Features: 8\n",
      "Points > 5 std after scaling: 0 (0.0%)\n",
      "\n",
      "Features with most extreme values (>5 std):\n",
      "Series([], )\n",
      "\n",
      "K=4 | sil=0.2312 | db=1.5109\n",
      "\n",
      "=== Tailles des clusters ===\n",
      "            n_comptes   pct\n",
      "cluster_k4                 \n",
      "0                2708  37.7\n",
      "1                1174  16.4\n",
      "2                1476  20.6\n",
      "3                1821  25.4\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== Médianes comportement ===\n",
      "            gross_flow_to_aum  flow_freq  flow_direction_balance  n_isin_total  avg_holding_months_per_isin  exit_rate_per_isin  log_aum_qty_mean  months_since_last_tx\n",
      "cluster_k4                                                                                                                                                             \n",
      "0                       7.884      0.071                   0.000           1.0                       11.333               1.000             5.280                  69.0\n",
      "1                       5.348      0.617                  -0.006          12.0                       28.924               0.667             8.768                   3.0\n",
      "2                       1.159      0.043                  -1.000           3.0                       60.000               0.400             5.167                  27.0\n",
      "3                       1.477      0.012                  -1.000           3.0                       12.000               0.714             3.407                 127.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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OytmzZ9XrPD09FWdnZ41yDQgIUIoVK6bMmjUr0XO97+nTp4qzs7Pi7u6uvHz5Ur3+6tWrirOzszJjxgz1ulGjRinOzs7K3LlzNfJIOP+XLl2qsX7gwIGKi4uL8vjxY41jmjRpkka6YcOGJXpdkipDRUn6mvThdevQoUOJzon340zuOqVN1apVlYEDByZan3Beenp6KkWLFlWOHTumNY+EtClZPjRw4ECldevW6sfOzs7K5MmTP/k4EjRp0kSpVKmSxjXqr7/+Uh9Lgr///ltxdnZW9u/fr7H/qVOnNNan5LU9e/as4uzsrEydOjXRtvevn87Ozoqrq6ty9+7dROk+fJ8kvB/69OmjkW7SpEmKs7Oz4u3trV5XokQJjfdJgqSuraNGjVJKlCih9Vjel3C9XbNmjXrd27dvlSZNmigVKlRQoqKiFEVRlHXr1inOzs7Kvn371OmioqKU1q1bKyVKlFBCQ0MVRVGUadOmKSVLlkz2M07be1ybR48eKa6urkr//v2V2NhYjW3vv/YdOnRQOnTooH6c0s+dmzdvKs7OzsqhQ4eSjUNbGYwdO1apVKmSEhgYqLF+6NChSqlSpdSfnwnPW7NmzUSfqcl9Fu7Zs0e97u3bt0qlSpU0zuc1a9Yozs7OGudvZGSkUrduXa2vc+3atZUePXoke7xCiK+DdLsQIh0k3GFLj/6ICQOwnTx5kujo6E/a9/Xr15w7d4569eoRFhZGYGAggYGBBAUFUblyZR49eoSvr6/GPq1atUrROA2mpqa8fPnykwbyO3v2LDExMbRr105j/fsj3H8o4Y5NgtKlSxMbG6sxGNj7dysTjrN06dJERETw4MGDFMeXUkZGRjRv3lxj3eHDh3F0dKRgwYLq1zkwMJDy5csDqO/ymJqaAnDixAni4uJSPbbPcevWLe7cuUPDhg3V6xo0aEBQUFCyzYaTEhsby+nTp6lVqxb58uVTr7exsaFhw4ZcunRJff4cPXoUV1fXJO9uJZS5vr6+um94XFwcr1+/JiYmhmLFinHz5s1PPlaAP/74A4if2eB93bp109iewMnJSaNLgIWFBQUKFODp06cper5atWpha2urfuzu7k7x4sUTPQ9A27ZtNR6fOnUKfX39RFP0devWDUVR1LM9JOT1Ybrkun6lpi+9TiWcF0nx9/fHyMiI3Llza01TuXJl1q5dm6LlfefOnePo0aMaLUi+xKtXr/D29qZZs2Yag2dWqlQJJycnjbSHDx/GxMSESpUqaVwzihYtSrZs2dTXjJS8tkePHkWlUjFgwIBE296/fkJ8C5YPY0lO+/btNR4nXK9Te6YRbQwMDGjdurX6sZGREa1btyYgIIAbN26oY7G2tta4hhkaGtKxY0fCw8P5+++/gfjrb0REBKdPn061+I4fP05cXBz9+/dHT0/za/iHr/3nyJEjBxDfoiYiIuKT9lUUhaNHj1KjRg0URdF4n1WuXJnQ0FD1a5igadOmKW4BlC1bNo2pUo2MjHBzc9O4Nv7555/Y2tpSs2ZN9bosWbKoW2gkxczMjKCgoJQephBCh6TbhRDpIOHLwJs3b9L8ucqWLUudOnXw8vJi3bp1lC1bllq1atGoUaOPDtj15MkTFEVh4cKFLFy4MMk0AQEBGj+M8ubNm6K4evbsyZkzZ2jZsiUODg5UqlSJhg0bUqpUKa37PH/+HEjcJDdnzpyYmZkluU+ePHk0Hif8SAkJCVGvu3v3LgsWLODcuXOJml4n9IlNTba2tole+8ePH3P//n312AMfCggIAKB+/frs3LmT8ePH8+OPP1KhQgW++eYb6tatm+iL6/tev379yT/qEpiZmSX7Xtm/fz/ZsmUjX758PH78GIj/cmhnZ8eBAwc+qX99YGAgERERFChQINE2R0dH4uLiePHiBYUKFeLJkyfUrl37o3nu2bOHNWvW8PDhQ43XIKXv1Q/5+Pigp6eX6H1obW2NqalpolHuk/rRa2ZmlqhfvjYODg6J1uXPn59Dhw5prDMwMEjUNN/HxwcbGxv1NSdBQjPwhFi1HVNCs/G09iXXKSDR+BXvmzJlCjNnzqRHjx5s3rw5yWOysbFJcuyd5MTExDB9+nSaNGmCu7v7J+2rTcI1LqkyL1CggEaF2ePHjwkNDf3oNSMlr+2TJ0+wsbEhZ86cH43xU8+bD4/F3t4ePT29dJuK0sbGJtHAq/nz5wfi3/clSpTAx8cHBweHRNfQhPMkoVzatWvHoUOH6NmzJ7a2tlSqVIl69eqlaNaU0NBQjemzDQ0NyZkzJ0+ePEFPT++jXTM+V758+ejatStr167lwIEDlC5dmho1atC4ceOPzg4TGBhISEgI27dvZ/v27VrTvO9T3h+5cuVKVMFiZmbG7du31Y99fHywt7dPlE5b1xyIvx6kRsWNECLtSeWDEOkgR44c2NjYcPfu3c/OQ9sH6/uDJCakW7RoEVeuXOH333/nzz//ZOzYsaxdu5bt27cn2/oi4c56t27dqFKlSpJpPvwCkNIRrR0dHTl8+DAnT57kzz//5OjRo2zZsoX+/fszaNCgFOWREtp+kCf8WAkJCaFDhw7kyJGDQYMGYW9vT5YsWbhx4wZz585NUesCbWWhbd+k7grFxcXh7OysdYC9hB+VxsbGbN68mfPnz6tfu4MHD7J9+3bWrFmjtdXJwIEDP3sq1Q0bNlCuXLkktymKwq+//kp4eDj169dPtD0wMFCno47v27eP0aNHU6tWLbp3746lpSX6+vqsWLEixS0PtEnpl9v0mrHFyMgo2Qqo1JLSa8+n5vm516mcOXNqVCZ+yNHRkZUrV9K5c2e6devG1q1bE1UIRUZGprii0draGogfi+Phw4dMnjw50Q/pN2/e8OzZMywtLdNsJpu4uDgsLS2ZO3duktsTxqb4ktc2KV86rkVG/lFoaWnJ3r17+euvvzh16hSnTp1i9+7dNG3alB9++CHZfadPn64xgGXZsmXZuHHjZ8fyKZ87o0ePplmzZpw4cYLTp08zbdo0VqxYwY4dO5IcS+TDvBo3bkyzZs2STPPh2Dif8v5Iq2tjSEhIkhV4QoivT6avfPDz8+Pq1av4+/sDYGVlRfHixdVfNoRILZ6enmzfvp3Lly/j4eHxyfu/fwf//SbHCXdoPlSiRAlKlCjB0KFDOXDgACNGjODgwYO0bNlS65eYhGbvhoaGVKxY8ZNj/Jhs2bJRv3596tevT1RUFAMHDmT58uX07t07yUqMhFYMT5480WiSHxQUlOK7yB+6cOECr1+/xsvLS2MO8qTuyml7nRJe/w9/vHzKPO/29vbcunWLChUqfPTLuZ6eHhUqVKBChQqMGTOG5cuXM3/+fM6fP6+1nEaNGpXsD7TkuLq6at124cIFXr58yaBBgxLduQsJCWHChAkcP35co2ltciwsLMiaNSsPHz5MtO3Bgwfo6empfzja29t/tALvyJEj5MuXDy8vL43X9cPpED/lB5GdnR1xcXE8fvxY45j9/f0JCQn56AB8nyqhNcn7Hj16lKLnsbOz4+zZs4SFhWm0fkjoTpSQR8IxPXnyRKNlQFLdjkxNTZN8L2m79rzvY69zctcpbQoWLPjRu+ju7u4sXbqUXr160bVrV7Zs2aIxcOTBgwdTNLMGoL4r++LFC6KjoxN1dYH4iom9e/eqZ0RJqYRrXFJl/uE5YW9vz9mzZylZsmSKfvAl99ra29vz119/8fr16xS1fvgUjx8/1rheP378mLi4uM9uefSpXr16lWja2UePHgGa7//bt28TFxenUYGX8P5/vwWdkZERNWrUoEaNGsTFxTFp0iS2b99Ov379cHBw0Poe79GjB40bN1Y/TvjcsLe3Jy4ujvv371O4cOEUH9enfu4kzGLRr18//vnnH9q2bcvWrVuTnRLZwsKC7NmzExcXlybfAVLCzs6Oe/fuJWrN8OTJkyTTx8TE8OLFiyRn5BFCfH0y7ZgP4eHhjBgxgmrVqjF48GAWLVrEokWLGDx4MNWqVeO777775L5yQiSnR48eZMuWjfHjx6sru9735MkT9fRdSUlocZDQFxXi38cfTuEXHBycqElywhechGkBE+7MffiDwtLSkrJly7J9+3ZevXqVKIYPm1t+ig/7YxoZGeHo6IiiKFq7B1SoUAEDA4NE06Rt3rz5s+NI+KL5/msUFRXFli1bEqXNmjVrkndHkyqL2NhYduzYkeI46tWrh6+vb5L7REZGqmcOef36daLtH5ZnUooVK0bFihU/a9HWpQXedbno0aMHdevW1VhatWpF/vz5NaZP/Rh9fX0qVarEiRMnNH5Q+vv788svv1CqVCn1j+jatWtz69atJGdESCjPhDtr75fv1atXE03bqe0cSErCKOwfnp8J4wF8bIrZT3X8+HGNsVWuXbvG1atXU9TUu2rVqsTGxiY6R9atW4dKpVLnkfD3wzuxSV2D7O3tCQ0N5datW+p1r169StHMFAmv84fnUUquU9qUKFGCu3fvfjRdhQoVmDdvHk+ePKFHjx4aXaw+Z8yH+vXrs2TJkkQLxL8HlixZ8sndMWxsbChcuDB79uzReI1Onz7NvXv3NNLWq1eP2NhY9Uw474uJiVG/l1Py2tauXRtFUfDy8kqUV3JdWlLiw/fepk2bADTev9myZfvsytGPiYmJ0egyEBUVxfbt27GwsKBo0aLqWPz8/Dh48KDGfhs3biRbtmzqiukPP7f09PTUd/4//Dz98D3u5OSkcV0tVqwYED+mi56eHkuWLEnUaiG51z6lnzthYWHExMRorHN2dkZPT0/jnEmqDPT19alTpw5HjhxJNL0vfNl3gJSqXLkyvr6+GtN7v337Vuvn671793j79u1n3dQRQqS/TNvyYfr06Vy/fp0VK1ZQsWJF9RfW2NhYzp49y9SpU5k+fbp6aichvpS9vT1z585l6NCh1K9fnyZNmuDs7ExUVBSXL1/m8OHDiQYlfF+lSpXIkycP48aN48GDB+jr67Nr1y7Mzc017kDu2bOHrVu3UqtWLezt7Xnz5g07duwgR44c6i9/xsbGODk5cejQIfLnz0/OnDkpVKgQzs7OfP/997Rr145GjRrRqlUr8uXLh7+/P1euXOHly5fs37//s46/e/fuWFlZUbJkSSwtLXnw4AGbNm2iWrVqifqnJ7CysqJTp06sWbOGPn36UKVKFW7fvs2pU6cwNzf/rOa8Hh4emJmZMXr0aDp27IhKpWLfvn1JfukrWrQoBw8eZObMmbi5uZEtWzZq1KhBoUKFKFGiBPPmzSM4OBgzMzMOHjyY6Atfcpo0acKhQ4f4/vvvOX/+PCVLliQ2NpYHDx5w+PBhVq1ahZubG0uWLOHixYtUq1YNOzs7AgIC2LJlC7ly5Up2vIy0EBUVxdGjR6lYsaLW7jY1atRgw4YNBAQEYGlpmaJ8hwwZwpkzZ2jXrh3t2rVDX1+f7du3ExUVxXfffadO1717d44cOcLgwYNp0aIFRYsWJTg4mN9++43Jkyfj6upK9erVOXr0KP3796d69eo8e/aMbdu24eTkpDEVbHLnwIdcXV1p1qwZ27dvJyQkhDJlynD9+nX27NlDrVq11IOEphZ7e3vatm1L27ZtiYqKYsOGDeTMmZMePXp8dN8aNWpQrlw55s+fj4+PDy4uLpw+fZoTJ07QuXNn9Q+YwoUL07BhQ7Zs2UJoaCgeHh6cO3cuyTvw9evXZ+7cuQwYMICOHTsSGRnJ1q1bKVCgQKLB5z5UuHBh9PX1WblyJaGhoRgZGVG+fHkOHDjw0euUNjVr1mTp0qVcuHDho9MSfvPNN0ydOpWxY8fSt29fVq1aRZYsWT5rzAdHR0et/fTz5s2bqMVDx44duXDhgkZ/9qQMGzaM3r17065dO1q0aMHr16/ZtGkThQoV0njPli1bltatW7NixQq8vb2pVKkShoaGPHr0iMOHDzNu3Djq1q2bos+A8uXL06RJEzZu3Mjjx4+pUqUKcXFxXLp0iXLlyiU7qO/HPHv2TH29vnLlino61/dbVBUtWpSzZ8+ydu1abGxsyJs3r3pK3S9lY2PDypUr8fHxIX/+/Bw8eBBvb2+mTp2qngaydevWbN++ndGjR3Pjxg3s7Ow4cuQI//zzD2PHjlV/Jo0fP57g4GDKly+Pra0tz58/Z9OmTRQuXFj9XtD2Htd2/XNwcKBPnz4sXbqUdu3aUbt2bYyMjLh+/To2NjYMHz48yf1S+rlz7tw5pkyZQt26dcmfPz+xsbHs27dPXbGQQFsZDB8+nPPnz9OqVStatmyJk5MTwcHB3Lhxg7Nnz352d76Uat26NZs2bWL48OF06tQJa2trDhw4oP7M+fBz/8yZM2TNmlVnLTWEEJ8m01Y+HD16lBUrViSaL1pfX5/KlSszY8YM+vTpI5UPIlXVrFmT/fv3s3r1ak6cOMHWrVsxMjLCxcWF0aNHJzuas6GhIV5eXkyePJmFCxdibW1N586dMTU11Wg+XLZsWa5fv87Bgwfx9/fHxMQEd3d35s6dq9EUdtq0aUydOpWZM2cSHR3NgAEDcHZ2xsnJiV27duHl5cWePXt4/fo1FhYWFClShP79+3/2sbdu3ZoDBw6wdu1awsPDyZUrFx07dqRfv37J7jdixAiMjY3ZuXMnZ8+epUSJEqxevZp27dqlaGC6D5mbm7N8+XJ++OEHFixYgKmpKY0bN6ZChQp0795dI227du3w9vZm9+7drFu3Djs7O3XTzrlz5zJx4kR++uknTE1N+fbbbylXrlyiGRG0SbjztW7dOvbt28exY8fImjUrefPmpWPHjuoBGGvUqIGPjw+7du0iKCgIc3NzypYty8CBAz86eFhqS5gn3tPTU2saT09P1qxZw6+//kqnTp1SlG+hQoXYvHkzP/74IytWrEBRFNzd3ZkzZ47GD5Ls2bOzefNmFi9ezLFjx9izZw+WlpZUqFBBPQhq8+bN8ff3Z/v27fz11184OTkxZ84cDh8+nOhLs7ZzICnTpk0jb9687Nmzh+PHj2NlZUXv3r2TnC3gSzVt2hQ9PT3Wr19PQEAA7u7uTJgwIUU/lvX09Fi2bBmLFi3i4MGD7N69Gzs7O0aOHKmenSPBjBkzMDc358CBA5w4cYJy5crx008/JWrJYW5ujpeXF7NmzWLOnDnkzZuXYcOG8fjx449WPlhbWzN58mRWrFjBuHHjiI2NZcOGDSm+TiWlWLFiuLi4cOjQoY9WPgC0aNGC4OBgfvjhBwYPHoyXlxcGBmn/9efNmzcp6sJZtWpVFi5cyIIFC/jxxx+xt7dn5syZnDhxItF7dsqUKRQrVoxt27Yxf/589PX1sbOzo3HjxurvMyl9bWfOnImLiws///wzs2fPxsTEhGLFin3xHeQFCxawcOFCfvzxRwwMDOjQoQMjR47USDN69GgmTpzIggULiIyMpFmzZqlW+WBmZsasWbOYNm0aO3bswMrKiokTJ2p8vhobG7Nx40bmzp3Lnj17CAsLo0CBAsycOVPjJkDjxo3ZsWMHW7ZsISQkBGtra+rVq8fAgQPVrei0vceTq3wdPHgwefPmZdOmTcyfP5+sWbPi4uLy0e5qKfnccXFxoXLlyvz+++/4+vqq8165ciUlSpRQp9NWBlZWVuzcuZMlS5Zw7Ngxtm7dSs6cOXFycmLEiBGfWhyfLHv27Kxfv55p06axYcMGsmXLRtOmTfHw8GDgwIGJKr4PHz7MN998o/UmhhDi66JSvrR9XQZVqlQp1q1bh5ubW5Lbr127RteuXbl06VI6RyaE+JiEu89Dhgyhb9++ug5HiFTx7NkzatasyciRIxNVhAlNe/fuZcqUKZw8eTLZaTd1JSwsjHLlyjF27NhEU0/+Vy1evBgvLy/Onj2rMb5GeurYsSNBQUH88ssvOnl+kXbWrVvHzJkzOXXqlLqyOWGa2j179nzS+BlCCN3JtGM+VK9enYkTJyY57/vNmzeZNGlSsnf3hBDp4/2pyhIk9EsvW7ZseocjhPgKNG7cmDx58nzR+C9p6eLFi9ja2iY7cKYQImkffu6/ffuW7du3kz9/fo2pvn/66Sfq1KkjFQ9CZCCZttvFxIkTGT58OM2bN8fMzExdS58wx3HlypWZOHGijqMUQhw8eJA9e/ZQtWpVsmXLxj///MMvv/xC5cqV033MAyHE10FPT++rvrtdvXp1qlevruswhMiQBgwYQJ48eXB1dSUsLIz9+/fz4MGDRNPMzp8/X0cRCiE+V6atfDAzM2PVqlXcv3+fK1euaEy1WaJECa2DSgkh0peLiwv6+vqsWrWKN2/eYGlpSadOnRgyZIiuQxNCCCFEKqtcuTI///wzBw4cIDY2FicnJ+bPn0/9+vV1HZoQ4gtl2jEfhBBCCCGEEEIIkT4y7ZgPQgghhBBCCCGESB9S+SCEEEIIIYQQQog0JZUPQgghhBBCCCGESFOZdsBJgNjYWP755x9cXFxSfZ7wPqr8qZqf+Lr9NdxL1yGIdNTiGyddhyDS0b4/Hug6BJGOzk6soesQhBBCpIKsxsa6DiFNJPc7c7nyKN3i+ByZuuWDvr4+3bp1Izg4WNehCCGEEEIIIYQQydJXaV++dpm68gGgUKFCPHv2TNdhCCGEEEIIIYQQyTLSU2ldvnaZvvJhyJAh/PDDD/z++++8evWKsLAwjUUIIYQQQgghhPga6KtUWpevXaYe8wGgV69eAPTt2xfVewWmKAoqlQpvb29dhSaEEEIIIYQQQqhlhBYO2mT6yocNGzboOgQhhBBCCCGEEOKjMsLYDtpk+sqHsmXL6joEIYQQQgghhBDiowwzQPcKbTL9mA8AFy9eZMSIEbRp0wZfX18A9u7dy8WLF3UcmRBCCCGEEEIIEU8GnMzAjhw5Qvfu3TE2NubGjRtERUUBEBYWxooVK3QcnRBCCCGEEEIIEU8qHzKwZcuWMXnyZKZNm4aBwbteKCVLluTmzZs6jEwIIYQQQgghhHhHZrvIwB4+fEjp0qUTrTcxMSEkJEQHEQkhhBBCCCGEEIll5AEnM33LBysrK548eZJo/aVLl8iXL58OIhJCCCGEEEIIIRLLyN0uMn3Lh1atWjF9+nRmzJiBSqXC19eXy5cv88MPP9CvXz9dh6czdUb3w6N5HXK5OhIVEcmDM/+wZ9QsfO880LqPnoEBdcf0o0LnFuS0y4Xv7QfsHjWLm0f+0EiXM48tzX4YTdF61THKlhW/e49Y3/U7nly6ntaHJZJhoKdiYD0XqrjakNcyG2ERMZy768/8g974hbzVul+pghZ0re5IETszbMyMGbT2b3674auRxjKHEUMbFKaiszUmWQ259CCAGXtv8MT/TVoflkjG06tnuffXYYKe3icqPJQ6I+djnrfgR/e5eXQnYf4viYuNwcQ6Dy6eTShQ1jPJ9H9vX8r900fwaNYdF8/GaXEYIgUM9FT0/8aZyi425LXISmhkDOfv+bPoyG38QrWf3yXzm9O5SkEK25lhY2rM0I2X+N3bN1G6vrUK0bx0PkyyGnLlcRAz9v3Lk4DwtDwk8RHbtm1j/fr1BPj74+zszKjRo3Fzc9Oa/ujRoyxdsoTnz59jb2/P4CFDqFKlinq7oigsW7qU3bt3ExoaSokSJRg7bhwODg7pcTjiI6S8Mxcp78wtI1QyaJPpWz706tWLhg0b0qVLF8LDw+nQoQPjx4+ndevWdOzYUdfh6YxztXL8sWQjP5RvxsJvOqJvaMCgoxswypZV6z5Npo2gau92bB/4PZOL1OLU8s302bOCfCWKqtNky2nKd6d3ERsdg1e9LkwuUoufh08nPCg4PQ5LJMPYSJ8idmasOH6XVvP/ZMj6i+S3yY5X1zLJ7pfVSJ/bz0OYvudfrWkWdilDXstsDFr3Ny3nn+J5UASrepcjq5F+ah+G+AQxbyOxLliY4o07pXgfo2w5KFq7JbWG/kDdUQspUK4mF7Ys4oX3P4nSPrt6loBHd8hqZpGaYYvPYGyoT+E8Zqz8/S5tvE4zfPM/5LfOwYKOibsdvi+rkQF3XoYyc/8NrWm6VC1Iuwr5mb7vXzouO0NEVCxLu5bFyCDTf8XQmSOHD/Pj3Ln07t2brdu24eziQr++fQkMCEgy/ZUrVxgzejRNmzVj2/bteHp6MnTIEO7dvatOs27tWrZs3cq48ePZuGkTWbNmpV/fvrx9q73ySqQPKe/MRcpb6Ku0L1+7TP/NQKVS0bdvX86fP88vv/zCjh07OHv2LEOGDNF1aDq1uF5nzq7/mRc37+JzzZv1XUZg6ZAX+1Laa1XLdWzGoRlL+PfQSfwfPuXU8k38e/B3ag3voU5Te1RfAp8+Z0O373j091UCHj3D+9if+D9I3PVFpK+wyBh6/nSeI1df8MjvDdeevGbGnn8pmi8nuXIaa93vr1t+LD58mxP/vkxyu4NVdkrkN2fqruv8+zSYR35vmLr7OlkM9alfIk9aHY5IgQJlPSlWrw22LsVTvI9tITfyFq+AWa58mFjnxqV6I3LmyY/fA2+NdOGvA7j080oqdBqGSj/TN7LTubC3MfRZe4Gj11/y2P8N15++Ztb+GxTNa0YuM+3n9+k7fiw5doffbyZu7ZCgfcX8rPz9Hie9X3H3ZSgTdl7F2iQLnkVs0+JQRAps3LiR5s2b07RpUxwdHRk/fjzGxsbs3bs3yfRbNm+mYsWKdOnShYIFC9J/wAAKFy7Mtm3bgPi7ops3b6Znz554enri7OzM1GnT8PPz4/fffkvHIxNJkfLOXKS8RUbudpHpKx/GjBlDWFgYRkZGODk54e7uTvbs2QkPD2fMmDG6Du+rkdXMBIDwwNda0xhkMSI6UrOGNDoiEqfK7+6cF29ciycXr9NzxxJm+15k7D+/UrlHmzSJWXy5HMaGxMUphEbEfHYeCXc/o2Li1OsUBaJj4vAoIHfEMzJFUXh5+yohr3ywcXzXwkmJi+Pcxvm41myGWW57HUYokpPD2CD+/I78/PPbzjwr1qbGnL/vr14X9jaG689eU9w+ZypEKT5VdHQ03t7elCtfXr1OT0+PcuXLc+3atST3uXbtmkZ6gAoVK6rT+/j44O/vT7ly5dTbTUxMcHNz46qWPEX6kPLOXKS8BUjlQ4a2d+/eJJsURUZGsm/fPh1E9PVRqVS0XDCRe3/9zfMbd7Smu3nkFLWG9cDGKT8qlYrCtSrj0bwuprmt1WmsCtpTtW8HXt19xOI6nTm1bBOtFk2ifKcW6XAk4lMYGegxtIErB688583bz/9x8vBVGM+Dwhlc3xXTrIYY6Kvo5ulIrpxZsTbNkooRi/QSFfGGn0e0ZsfQFpxaMZVSLXqRy7WEerv38d2o9PRxrtZQd0GKZBkZ6DG4riuHr33Z+W1lEn8OB4RFaawPDIvCMoec37oQFBREbGwslpaWGustLS3x9/dPch9/f/9k0yf8/TCNhaUlAVryFOlDyjtzkfIWAIZ6elqXr12mbQsbFhaGoigoisKbN2/IkuXdl6TY2FhOnTqFhYXclQVos2QqdsVcmFP522TT7Rg8mQ4rZzHp1gkURcHv/mPOrN1JxW6t1GlUeioeX7zOvnFzAHh65QZ5ijlTtU97zm3YlabHITQ18LDj+2/fdaPps+oC/zwMBOIHp/uxY0lUqJi668sGAo2JUxiy7hJTWrlzZmodYmLjOHfXn1Per8gA0xH/Zzz6+yQXty9TP67ad6JGa4VPYZglK3VGLSDmbQS+d65xee8aslvZYlvIjcAn97jzxwHqjJyHSgpYZ+oXz8P4psXUj/uv/5vLj4KA+PN7dlsPVMD0fdrHchBCCCHE10eVEQZ30CLTVj6ULl0alUqFSqWiTp06ibarVCoGDhyog8i+Lm0WT8atYQ1+rNqK1z5J9+lPEOYfyPJmvTDIkoUcljl5/dyXZrNGa4znEPziFS9u3tXY76X3fUq2qJcm8Qvtfr/5kmvzgtSPXwVHAgkVD6XIY56NbsvPftFd0QQ3fYL5dv6f5DA2wFBfj6A3UWwZVIkbT2Wg0fRi51YWy/wu6sdfMgikSk8PE+vcAJjnLUjIy6d4H/sZ20Ju+N2/SWRYMPu/fzfWixIXx5W9a7n9xwEaT1r5+QchUuykty/Xn75WP34V8u78nt3Wg9w5s9Jr1fkvPr/9/z9ThmUOI/X/ABY5jLjzIuSL8hafx9zcHH19fQI+GHwuICAAKyurJPexsrJKNn3C34CAAKyt37VmDAwIwNnFBaE7Ut6Zi5S3ANCTyoeMZ8OGDSiKQufOnVm8eDFmZmbqbYaGhuTJkwdb28w9WFabxZMp0awO86q3IeDRsxTvF/P2La+f+6JnYIBHi7pc2vGretv905ewddGcys/WuQABj31SLW6RMuFvYwl/qzkVXkLFg711NrotO0dweHSqPmfY//uW21tlp2jenHgdvp2q+QvtDI2zYWicLU3yVhSF2Jj4ss1ftnqiASz/WDaJ/GWqU6BczTR5fpFYeFQs4YGJz+/ZbT2wt8pOz1XnCY748vPbJygCv5BIyjpacftFKADZsxjgljcnO8/LQMK6YGhoSOHChblw/jw1atQAIC4ujgvnz9OmTdJjLLm7u3Ph/Hk6dOigXnfu3Dnc3d0BsLOzw8rKigvnz+Pq6grEtyC9fv06LVu2TOMjEsmR8s5cpLwFgF4Gni0u01Y+lC1bFoATJ06QJ08eaR78gbZLplKmXROWNelJZOgbTG3ja0IjgkPUg0p2Wf8jr3182Tt2NgD5y5Ygp50tz67cJKddLhpOGoJKT4+js1eo8z0xfzUjz+yi7ph+XNrxK/nLFqdyr7Zs7iWDe+qagZ6KeZ1KUSSvGf1XX0BPT4Xl//tzB4dHEROrALCqd3lO/PuSracfAfFTbdpbZVfnY2eRDZc8pgSHR/Hydfzd1truuQl6E8WLoAgK5TZhdJOi/PbvS87ckb6EuvT2TSjhQX5EBMd3twl9FV8JaGxqTlZTcwDObZxPVjNL9XScN4/+jIW9EzmschEbE82Lm5d49PdJSrfqA0CW7KZkyW6q8TwqfQOMTcwxtc2bXocmPmCgp2JOu5IUzmPKoA0X0VPFt1YACI6IVp/fK7qX5bcbvmw/9xj4//lt+a7Sys4iKy65TQgOj+bl/1tLbT7ziJ6eTjzxf4NPUAT9vymEX+jbZGfIEGmrY8eOTJgwgSJFi1KsWDE2b9pEREQETZo2BWD8uHHY2NgwaPBgANq1b0+P7t3ZsH49VapW5fDhw9y8cYOJEyYA8a1B27dvz8qVK7F3cMDOzo4lS5ZgbW2N5/9/AAndkfLOXKS8hb6hVD5kWPfv3+fFixeULh0/1/nmzZvZsWMHTk5OTJw4UaNFRGZSrV9HAIb/sV1j/fouIzi7/mcALOztUOIU9TZD4yw0mTYCq4L2vA17w78Hf2dtx6FEBL9revv44jWWN+tN05kjaTBxMP4Pn7JzyBQubJHBPXXNxsyYGsVyAbBreDWNbV2XneXv+/FN9vJZZsM8u5F6W7F8OVnbt4L68agm8eMI7P37KeO3XwXA2jQLIxsXwTJHFvxCI9l/8RnLj2t2vxHpz+ffC1zYvEj9+My6uQAUrdsGt/ptAXgT5A+qdwMYxURFcnHnciJeB6BvaISJjR0VOg3FvmSV9A1efBIbU2P11Jc7BmmWVY+V57j4//Fe8llont9F7cxY1fPdKOkjGhQBYP+lZ0zcFT8K+rpTD8hqpM+EZm6YGBtw+XEQ/db+rTHDjUhfderWJSgoiGVLl+Lv74+LiwtLly5VDyj34uVLVO8NTFaiRAlmzJzJEi8vFi9ejL29PfMXLMCpUCF1mi5duxIREcHUKVMIDQ3Fw8ODpUuXaoyZJXRDyjtzkfIW+kZf/8CS2qgURVE+nuy/q1GjRowYMYJq1apx+/ZtWrRoQbdu3Thz5gzm5uasXPl5/ZP7qPKnbqDiq/bXcC9dhyDSUYtvnHQdgkhH+/54oOsQRDo6O1Hu9AkhxH9BVmNjXYeQJk6WrqB1W/WLZ1Ocz4oVKzh69CgPHjzA2NgYDw8PRowYQcGCBT++82fKuNUmqeTZs2c4OjoCcPToUWrUqMGwYcPo0qULp06d0nF0QgghhBBCCCFEPH1DPa3Lp7hw4QLt27dnx44drF27lpiYGLp37054ePjHd/5Mmb7bhaGhIZGR8f1Wz5w5Q9P/95cyMTHRYVRCCCGEEEIIIYQmPf3UaT+wevVqjcezZs2iQoUK3LhxgzJlyqTKc3wo01Y+JAw4+ebNG5o0aYK+vj5v377l7t27/Pjjj0RFRek4QiGEEEIIIYQQ4h29ZMZ8iIqKSvQ71sjICCMjIy17vBMaGj9rVVqOeZhpKx+ioqJo27Yt1tbW7Nu3j9evX1OxYkV1pcS2bdu4evWqjqMUQgghhBBCCCHiJdfyYcWKFXh5aY5FN2DAAAYOHJhsnnFxccyYMYOSJUvi7OycKnEmJdNWPri6upIrVy46d+5Mt27dEm0vXLgwzZo100FkQgghhBBCCCFEYsmN7dC7d2+6du2qsS4lrR4mT57M3bt32bJlyxfHl5xMW/lQvXp1QkNDef78eZLbIyMjqV27djpHJYQQQgghhBBCJE3fSF/rtpR2sXjflClTOHnyJJs2bSJXrlxfGl6yMm3lQ58+fYD4FhAqlUrH0QghhBBCCCGEEMnTS6by4VMoisLUqVM5duwYGzduJF++fKmSb3IybeVDgr1792o8jo6Oxtvbm7Vr1zJ06FDdBCWEEEIIIYQQQqSRyZMn88svv7B06VKyZ8+On58fED/ro7GxcZo8Z6avfHB1dU20zs3NDRsbG1avXi1dL4QQQgghhBBCfBWSG/PhU2zduhWAjh07aqyfOXMmzZs3T5Xn+FCmr3zQpkCBAly/fl3XYQghhBBCCCGEEEDyYz58itu3b6dKPp8i01c+hIWFaTxWFIVXr17h5eWFg4ODjqISQgghhBBCCCE06Rlm3J/wGTfyVBAbG0upUqVQqVQag04qikLu3LmZN2+eDqMTQgghhBBCCCHe0dNPnW4XupCpKx/09fUxNDRk1qxZ2NjYAKCnp4e5uTkODg4YGHz+y7Pk+urUClNkAHety+g6BJGOHFWBug5BpKNhlT11HYIQQgghBAB6Rhn3J3zGjfwD58+fp3jx4p88MqezszOWlpaULVs2jSITQgghhBBCCCG+nJ6hoa5D+Gz/mcqH7t27s2/fPhwdHT+a9sSJE+r/q1evzvjx42nUqBH29vYYGRlppG3YsGGqxyqEEEIIIYQQQnwqlXS7SD/NmjVLcn1MTAwDBw4kS5YsAOzZs0drHv3791f/rygKAMuWLUsyrVQ+CCGEEEIIIYT4GujLgJPp586dO1SoUIESJUqo1ymKwq1btyhXrhyWlpYfzePWrVvq/y9cuJAWYQohhBBCCCGEEKlKWj6kow0bNjB69Gjc3d0ZMGAAenrxL/7y5ctp3749Tk5On5SfjPUghBBCCCGEECIjyMhTbWa4apNSpUqxe/duHj16RJs2bXjy5Mln5XP27Fnq169PWFgYFy9eZMSIEbRp0wZfX19CQ0OpUqUKmzZtSuXohRBCCCGEEEKIz6NvZKB1+dpluMoHABMTE+bNm0fr1q1p164d27dvR6VSfVIe69evp1WrVpw+fZru3btjbGzMjRs3iIqKwsTEhBIlSrB06dI0OgIhhBBCCCGEEOLT6BkaaF2+dhmy8iFBixYt2LRpEzt37iQmJuaT9r19+zZVqlRh2bJlTJ48mWnTpmFg8K7AGjVqRFBQUGqHLIQQQgghhBBCfBaVvp7W5Wv39VePfET+/PnZsWMHb968IUeOHED8AJQfawnh7++PgYEBDx8+pHTp0om2m5qaEhcXlyYxCyGEEEIIIYQQn0ql9/VXMmiTYSNftWqV+n89PT1MTExQqVTExsYyfPjwj+5va2vL3bt3sbKySnLciGPHjmm0hBBCCCGEEEIIIXRJ38hQ6/K1y7C/rlevXo2ZmRktW7ZUr4uNjWXo0KHcvXv3o/tXq1aNhQsX0rx5c6ZPn86MGTNQqVT4+vpy4cIFtm7dSsmSJdPyEDKELYf+YM2+Y/i/DsElf17GdW+Fe6H8WtOHvAln4Zb9HDt3heCwcPJYWzC667dUK1UMgFp9xvPcLzDRfm3rVmVCzzZpdRgihRRFYcuaFRw7sJc3YWG4urnTd9ho8uSzT9H+P29ax8afltDo2zb0GPSuEvCFzzPWLl2I97UrREdHU7JcBXoNHkFOi49PjSvSztbd+1m79Wf8AwNxcSzI2CH9cCvimmTan/cfZP+R49x78BiAIi5ODO7VVSO9f2AQ85et5szflwgNe0Op4sUYO6Q/Dvns0uV4RPIUReGn5cvYu2c3YaGhuBcvwaixY7G3d9C6zz+XLrFpw3pueXvj7+/H7B/nUd2zhkaa30+cYPeunXh7exMSHMymrdtwdkn6fSTSz7Zt21i/fj0B/v44OzszavRo3NzctKY/evQoS5cs4fnz59jb2zN4yBCqVKmi3q4oCsuWLmX37t2EhoZSokQJxo4bh4OD9vePSD9S3pmLlHfmlhHGdtAmw7Z8WLFiBbNnz+bw4cMAxMTEMHjwYO7du8eGDRs+un/fvn15/fo1O3bsIFeuXHTo0IHw8HDat2/P2LFjyZIlCwsWLEjjo/i6HTp9kR/W7aJfqwb8PGcMrg529Jq6mIDg0CTTR0XH0GPyInxeBbDgu54cXPw9U/q2w9YypzrNjh9G8ceqmepl1cRBANSpIBU9X4PdWzbw667t9B0+hjkr1mJsnJVJIwYS9fbtR/e9632DI/v3kN+xkMb6yIgIJg0fgAqYumAZs5asIiY6mmmjh0nXJh06dOIks71+om+X9uxctQQXp4L0Hj6OgKDXSab/+8o16tfyZM2i2WxaPp9cNtb0Gj4WXz9/IP6Ly+Cxk3n24gWLZk5i55ol5MllS4+howmPiEzHIxPabFi/ju1btzB67DjWrN9I1qxZGdS/H2+TOb8jIyMo5OzMd6PHaE0TERFB8RIeDBg0OC3CFp/hyOHD/Dh3Lr1792brtm04u7jQr29fAgMCkkx/5coVxoweTdNmzdi2fTuenp4MHTKEe+/dzFm3di1btm5l3PjxbNy0iaxZs9Kvb99k3z8ifUh5Zy5S3iIjj/nw9Ueohbu7O4sWLWLs2LGcOHGCgQMH8vDhQzZs2IC1tfVH97eysmLbtm04Oztz5swZoqKi1GNFVKpUif3792NlZZUOR/L1WnfgN1rWqkTzGhVwypeb73u3xTiLEbtPnEky/e7fzhAcFs7iUX0o6eqInY0lZYo645o/rzqNhZkJ1uZm6uWPS9fJl8uaMkULJZmnSD+KonBg51ZaduxGuSrVyO9YiCHjJhMY4M+5v/5Idt+I8HDmTZ1I/5FjyWFiorHN+/pVXr18weCx35Pf0Yn8jk4MHjuJe7e9ufbP32l5SCIZG7bv5ttGdWnWoA6OBRyYOGIQxsZZ2PPrkSTT/zBxNG2aNcK1kCMFHeyZPGoocXEK5y5dBuDxUx+u3vBmwvCBuBV2oYB9PiYMH8jbt285ePz39Dw0kQRFUdi2ZTPdevSkWnVPCjk7M2nKVPz9/PjjpPbyqVipMn37D8CzRg2taeo3bEiPXr0pW65cWoQuPsPGjRtp3rw5TZs2xdHRkfHjx2NsbMzevXuTTL9l82YqVqxIly5dKFiwIP0HDKBw4cJs27YNiH//bN68mZ49e+Lp6YmzszNTp03Dz8+P33/7LR2PTCRFyjtzkfIWMtuFjlSoUIHZs2czaNAgnj17xsaNGz+pwsDOzg4rKytOnDjBzp072blzJ+fPn2fNmjVYWloyZoz2Oz3/dVHRMdy8/4Ty7i7qdXp6elRwd+XKnYdJ7vP739cp7lKAaSu3UaXbKBoPmcqKXYeJjU367nZUdAwHTl2geY0KnzxVqkh9vi98CAoMoHjpsup12XPkwLlwUW7/ey3ZfVfMn02pCpUoUTrxj4/o6ChQqTA0NFKvMzIyQqWnh/e1q6l3ACLFoqOjuXnnLuVLvWtxpKenR/nSHly9cTNFeUS+fUtMTAxm/69sioqOBuLL9v08DY0MuXztRipGLz7Hcx8fAvz9NSoIcpiYULSYG9flPPxPiY6Oxtvbm3Lly6vX6enpUa58ea5dS/pafu3aNY30ABUqVlSn9/Hxwd/fn3LvvX9MTExwc3PjqpY8RfqQ8s5cpLwFgMrASOvytfv6q0feM2DAgCTXm5ubY2pqysSJE9XrvLy8UpTn3r17GTFiBO7u7hrrIyMj2bdvHzNnzvz8gDOw16FhxMbFYZXTVGO9pZkJD3x8k9znma8/5/8NoGGVMiwf158nL18x5aftxMTG0r9Vg0TpT1y4SuibCJp5lk8iN5Hegv7fXC+nueY4DDktLAkKTLopH8CpE0d5cOcWc39an+R2l6JuGBsbs375Yjr26o+iKGxY4UVcbCxBAf6pdwAixYKCQ4iNjcPSIqfGektzcx4+fpqiPOYtW421lSUVSsdXYBRwyEduWxsWrljDxO8Gk83YmA07duP7yh+/gMTjvIj0FfD/c83ig3FWLCwtCPDXfn6LjCcoKIjY2FgsLTXL2tLSkkcPk7554O/vn2R6f39/9faEde+zsLQkwF+u47ok5Z25SHkLAJXh1z+wpDYZqvLB5IPm3AneHzAlpcLCwlAUBUVRePPmDVmyZFFvi42N5dSpU1hYWHx2rJlRnKJgYWbC5D7t0dfXo6ijPb4BwazZdyzJyofdJ85QxaMINh/8ABLp4+TRQyz78V3l2oQf5n9yHn6+L1m16EemzPPC6L1z6H1mOc0ZOXkWy+fN4pdd21Hp6VG1Zm0cnV0z9FRBmdmqTds5dOIkaxfNIUuW+Fp2QwMDFkyfyMRZ86hU/1v09fUoX8qDKuXLoCiKjiPOfA4f/JWZ06epH89ftFiH0QghhBAi1ejp6zqCz5ahKh8+pxXCpUuXcHNz02gKDFC6dGlUKhUqlYo6deok2k+lUjFw4MDPjjWjy2mSA309Pfxfh2isDwgOTdQaIoG1uSkG+vrovzfYScG8ufB/HUJUdAxG7/VD8nkVwNnrt1j4Xa+0OQDxUWUrV8WlSDH14+joKABeBwVg8V73pdeBARRwck4yj/t3bhEcFMjQHh3V6+JiY7lx9TK/7tnJz8dPo6+vj0fZ8qzYtpeQ16/R09cnh4kJnZvWoXKe2ml0dCI55mam6OvrERD4WmN9QFAQVpbmye67dutOVm/ezsr5s3BxKqixrahLIXatXUZo2Buio6OxMM9J216DKOqa9PtHpJ0q1apTtNi7kc+j/n9+BwYGYPXeuEiBAYE4u0j5/JeYm5ujr69PwAeDzwUEBGjtmmplZZVs+oS/AQEBGuNqBQYE4OzigtAdKe/MRcpbABm68uE/f9uxZ8+e+Pom7iawYcMG1q1bh6IoLFq0iPXr16uXLVu28Pvvv9O3b18dRPx1MDI0oIijPeeu31avi4uL49y125RwLpDkPh6ujjx56acxg8Hj575Ym5tpVDwA7Pn9LBamJuopOEX6y5YtO7nz5lMv+fIXxNzCkmuX3g0CGf4mjDveN3Ap5p5kHu6lyrBo3VYWrN6kXpxcC1Ptm7osWL0JfX3Ni6NpzpzkMDHh2qW/CQ4KomylT2+1JL6coaEhRZwLcf7/g0VC/Pl9/tIVihctonW/NZt3sGL9FpbPnU6xZCoUTHJkx8I8J4+f+nDj9l08K1dI1fjFx2XPnp189vbqpWBBRyytrPj7wgV1mrCwMG78ex039+I6jFSkNkNDQwoXLsyF8+fV6+Li4rhw/nyiLqYJ3N3dNdIDnDt3Tp0+YYys99OEhYVx/fp1imvJU6QPKe/MRcpbAKgMDLUuX7sM1fLhc2hr7lu2bPygeidOnCBPnjwy4GESujSqwZjFGyjm6IBbIQc2/PI7EW/f0qxG/A+J0YvWYWORk2EdmgLQpk4Vthz6gxlrdtKhfnUev3jFT7uP0L5+dY184+Li2PPbOZpWL4+BfsatufuvUalUNGrZlh0b1pA7bz5sc9uxZfVyLCytKF+5mjrdhCF9KV/FkwYtWpEtW3YcCjpp5GNsnBUTUzON9ccP7iefQwFMc5pz+8Y1Vi2aR+OWbclrnz+9Dk98oFPr5oybMZeirs4UK+zCpp17iIiIpGn9+NYoY6bNxsbKiqF9ugGwevN2vFZvZPbEUdjlssX//+M4ZMualWzZsgJw5PdTmOc0I7etDXfvP2TWouXUqFKBSmVL6eYghZpKpaJNu/asWbWSfPb25Mljx/JlS7CytqZadU91un69e1Hdswat2rQBIDw8nGdPn6i3P/fx4c7tW5iampErd24AgoOD8X35Aj8/PwAeP3oMgIWlVaafNUpXOnbsyIQJEyhStCjFihVj86ZNRERE0KRpUwDGjxuHjY0NgwbHT4/arn17enTvzob166lStSqHDx/m5o0bTJwwAYh//7Rv356VK1di7+CAnZ0dS5YswdraOtmZUET6kPLOXKS8RUaoZNDmP1/58DH379/nxYsXlC5dGoDNmzezY8cOnJycmDhxImZmZjqOUHfqVSpNYHAYi7f9gv/rEFwL5GXF+AHqbhcv/IPQU71rPJPbyoKVEwYwa+3PNB02HVuLnHRo4EmPpppN689eu8UL/0Ca15S7oV+b5u06ERkZwdK5M3gTFkZht+J8P3eRxngOL5/7EBL8+pPy9XnymI0/LSEsJASbXHlo2bErjVu1S+XoxaeoV7M6Qa+D8Vq9Af/AIFydCrJ87nSsLOK7Xbzw9dM4v7fv/ZXo6GiGTpimkU/frh3o3y2+241fQCCzvVYQEPgaa0sLGtetRZ/OUs5fi06duxAZEcGMaVMJCw2leAkPFnot1RjzyOfZU16/DlI/9r55g769eqofL5j3IwANGjXi+8lTAfjzj5NMmfS9Os24MaMA6NGrN736ZN4WhLpUp25dgoKCWLZ0Kf7+/ri4uLB06VL1gHIvXr7UGHOnRIkSzJg5kyVeXixevBh7e3vmL1iAU6F302B36dqViIgIpk6ZQmhoKB4eHixdqvn+Eboh5Z25SHkLMsCsFtqolP/4SGAeHh7s37+ffPnyJbm9UaNGjBgxgmrVqnH79m1atGhBt27dOH/+PAULFvzs2S5i/z3xJWGLDOaudRldhyDSkaNKZm/ITMKz2+o6BJGOjPSlJaQQQvwXZDU21nUIaSLqz21atxlVaZOOkXy6TN/y4dmzZzg6OgJw9OhRatSowbBhw7hx4wa9eslgiEIIIYQQQgghvhIZuNvFf37ASW1jOURHRzN79mwiIyPp27cvP//8M2fOnKFSpUpA/HSb/jK3rRBCCCGEEEKIr4RKT1/r8rXLkJUPiqLw/Plz3r59m6K0SVm+fDn79u2jQIECREREMHnyZK5cuUL16tUBePr0aWqGLIQQQgghhBBCfJGMPNtFhq18qF27Ni9evPho2suXLyc53sOBAweYNm0aq1atwtHRETs7O8zNzVmwYAGKonDu3DmZAUMIIYQQQgghxNdDT1/78pXLkGM+6Onp4eDgwOvXrz87D19fXwoVKkSePHlYsWKFel2nTp347rvv+O677/j5559TKWIhhBBCCCGEEOLLqAy//hYO2mTIlg8Aw4cPZ/bs2dy5c+ez9reysuLp06c8f/5cvcTGxjJnzhyuXLnCsGHDUjliIYQQQgghhBDiCxgYaV++chmy5QPAqFGjiIiIoEmTJhgaGmL8wVQqFy5cSHb/8uXLc+DAAXbv3p2oe4WiKDLmgxBCCCGEEEKIr0pGGNtBmwxb+TB27Ngv2r9fv348ePCATp06aayPjo7G29ublStXUrVq1S96DiGEEEIIIYQQItWoMmznhYxb+dCsWbMv2t/Ozg47O7skt7m5uWFjY8Pq1au/6DmEEEIIIYQQQohUk4ErHzJu5MCTJ0+YP38+w4YNIyAgAIA//viDu3fvfnHeBQoU4Pr161+cjxBCCCGEEEIIkRoUPQOty9cuw1Y+XLhwgUaNGnHt2jWOHj1KeHg4ALdv32bx4sUpzicsLExjCQ0N5f79+yxYsAAHB4e0Cl8IIYQQQgghhPg0+vral6/c1189osWPP/7IkCFD6Nq1Kx4eHur15cuXZ9OmTSnOp3Tp0kkOOJk7d27mzZuXavEKIYQQQgghhBBfQsnA3S4ybOXDnTt3mDt3bqL1FhYWBAUFpSiP2NhYxo4dS758+ciePTsAenp6mJub4+DggIHB5788f5t4fDyR+M8oeeegrkMQ6Sgm6JWuQxDpSBXgr+sQRHpq+2UDWgshhBBpKgN0r9Amw0ZuYmKCn58f+fLl01jv7e2Nra1tivLQ19dnzpw5HDx4MFE+QgghhBBCCCHE1yQjjO2gTYaNvEGDBsydO5eFCxeiUqmIi4vj0qVL/PDDDzRt2jTZfU+cOKH+P1euXOzfvx9XV9ck09asWTM1wxZCCCGEEEIIIT6P3tc/toM2KkVRFF0H8TmioqKYMmUKe/bsITY2FgMDA2JjY2nYsCGzZs1CP5kBN96vaEju8FUqFbdu3fqs+M49Dvys/UTGVPLJUV2HINJRrHS7yFSipdtFpmIo3S6EEOI/Iauxsa5DSBPRfk+0bjO0tk/HSD5dhm35YGRkxLRp0+jfvz937tzhzZs3FClShPz583903/crFN6viHh/4ElFURINRCmEEEIIIYQQQuiKDDipA15eXnTv3p3cuXOTO3du9frIyEhWrVrFgAEDUpTPhg0b0ipEIYQQQgghhBAi9ehn2J/wZNhqkyVLlhAeHp5ofUREBEuWLPno/mfPnqV+/foUKVKEsmXLaiyFCxdm8uTJ0vJBCCGEEEIIIcTXQ89A+/IZNm/eTI0aNXBzc6Nly5Zcu3YtlQN+J8NWPmjrFnHr1i3MzMw+uv/69etp1aoVOXLk4OLFi4wYMYI2bdrg6+uLiYkJRYoUYcGCBWkQuRBCCCGEEEII8ekUPQOty6c6ePAgM2fOpH///uzZswdXV1e6d+9OQEBAGkSeAbtdlClTBpVKhUqlok6dOhoVELGxsYSHh9OmTZuP5nP79m2+++47jhw5wsiRI2nUqBE3btwgKioKADs7O44cOZJmxyGEEEIIIYQQQnySVGydv3btWlq1akWLFi0AmDx5MidPnmTXrl306tUr1Z4nQYarfBg7diyKojB27FgGDhyIiYmJepuhoSF2dnZ4eHh8NB9/f38MDAxYtmwZkydPpmnTpvz666/q7W5ubrx9+zZNjkEIIYQQQgghhPhUn9PCISlRUVHcuHGD3r17q9fp6elRsWJFLl++nCrP8aEMV/nQrFkzAPLmzUvJkiUxMPi8Q7C1teXu3bs8fPiQ0qVLJ9ru6+v7RXEKIYQQQgghhBCpKpnZLqKiotQt+RMYGRlhZGSUKG1QUBCxsbFYWlpqrLe0tOTBgwepE+sHMuyYD9mzZ+f+/fvqx8ePH6dfv37Mmzcv0QuelGrVqrFw4UIsLS158kRzrtTIyEhWrFiRorEjhBBCCCGEEEKI9BCHSuuyYsUKSpUqpbGsWLFC1yGrZbiWDwkmTpxIr169cHFx4enTpwwdOpTatWtz+PBhIiIiGDduXLL79+3bl6NHjxIREcGIESPo2rUrcXFxrFy5kiNHjhAcHMzgwYPT6Wi+XoqisGfDSk4e2k94WCiFirrTedBIctnlS3a/QP9X7Fi1lGt/nyXqbSS2efLSY8R4CjgXBqBz7QpJ7te6R3/qt+qQ6schUmbrb+dZd+QM/sFhuOSzZUzb+rgVzKs1/cZjZ9lx8m9eBAaTM0c2vilVhCEtapHF0FCdxjcohPk/H+Ovf+8SGRVNPhsLpnVtStH8dulxSCIJlx48Z/3Jy3j7vMIvJJx5netRo1jBZPf5+74PPx74i/svA8mVMwc9apamSZnCGml8g8NY+OtZTt9+TGRUDPmszJjcqiZF89mk5eGIj/jnySs2nr/NLd9A/MMimdO8EtWdtZ/Xv91+xq7L97jj+5ro2FgKWpnRs3JRKhTMnWT6dWe9WfLHNdqULsTwWiXT6jDEJ9q2bRvr168nwN8fZ2dnRo0ejZubm9b0R48eZemSJTx//hx7e3sGDxlClSpV1NsVRWHZ0qXs3r2b0NBQSpQowdhx43BwcEiPwxEfIeWduUh5Z25xiqJ1W+/evenatavGuqRaPQCYm5ujr6+faHDJgIAArKysvjzQJGTYlg+PHj2icOH4L76HDh2ibNmy/Pjjj8ycOZOjR49+dH8rKyu2bdtGiRIlCAwMZO7cuURGRrJ9+3ZCQkJo164dffv2TevD+Ood3LGJY3t30mXQSCYuWk0W46zMHTOEqCjt42G8CQ1h+tDe6BsYMHz6PGau3EqbXoPIluPd+BwLt/2isXQfPg6VSkXpKp7pcVgiCYcv/MucHUfo06g6Oyb2xjlfLnov2EhASFiS6X89f40Fu47Tp3F19k0dwJQuTTjy9w0W7j6hThP8JoJOs1ZjoK/HssEd2DtlAN+1qoNptqzpdVgiCRFR0TjnsWRM02opSu8TGMLA1b9QxtGO7UNb075Kcab8/Dtnbr9rNRYSHkmXJbsx0NfDq3sjdn/XjmENK2GaNUtaHYZIoYjoWJxtczLym1IpSn/56SvK5bdlQasqbOhSm1IONgz7+S9uvwxKlPbGiwD2XLlPIWtpKfg1OXL4MD/OnUvv3r3Zum0bzi4u9Ovbl0Ato5dfuXKFMaNH07RZM7Zt346npydDhwzh3t276jTr1q5ly9atjBs/no2bNpE1a1b69e0r42N9BaS8MxcpbxGraF+MjIzIkSOHxqKt8sHIyIiiRYty9uxZ9bq4uDjOnj2bojEUP0eGrXxQFIW4uDgAzp49S9WqVQHInTs3QUGJvyAlxc7OjlWrVnH+/Hm2bNnCvHnzWLt2LRcvXmTixIlpFntGoSgKR/Zsp1G7LpSsWBX7gk70GjmR1wH+/HP6lNb9ft2xCQtrW3qOGI+ja1Gsc+fBrXQ5bPO8u9OW08JSY7l85k8KFy+JTW65G64rG46doUWVUjSr7IFjHhsmdmhIViND9vyV9IAzV+49xcMpHw3KuWNnZU7Fok7UK1uMfx/6qNOsOfQXuSxMmdatGW4F85LXOj5dPhuL9DoskYTKrg4MqFueGm7Jt3ZIsPPsv9hZmDK8UWUK2lrQppI7tdwc2XTqqjrN2pOXyZUzB1Na18TN3hY7C1MqutiTz0p+lOpaJcfc9K3qhqeL9tYO7xteqySdyhemaG5L7C1M6F/NnXwWOTh177lGuvCoaCbuP8fYeqUxMU76i43QjY0bN9K8eXOaNm2Ko6Mj48ePx9jYmL179yaZfsvmzVSsWJEuXbpQsGBB+g8YQOHChdm2bRsQ/31g8+bN9OzZE09PT5ydnZk6bRp+fn78/ttv6XhkIilS3pmLlLeIjVO0Lp+qa9eu7Nixgz179nD//n0mTZpEREQEzZs3T4PIM3DlQ7FixVi2bBl79+7l77//pnr16gA8e/bsk5qJjBkzBn19fUqVKkWDBg2oWLEi2bNnJzw8nDFjxqRR9BmD38vnBAcGULRkGfW6bNlzUNC1CPe8/9W63+Wzf5K/kCteU8cyoGV9JvTtxMmD+7SmDw4K5OqF01St2yhV4xcpFx0Tw83HLyhf5N2PUT09PcoXLsjVB0+T3KeEUz5uPn7B9QfPAHjqF8if1+9Sxa2QOs3Jq7cp4pCHYcu2U23obFpOXsbPpy6m7cGIVHft8UvKFdL84VrBxZ5rT16qH/9x4yFF8towYuNhPCetofX87ew6fyO9QxVpIE5RCI+KwSyrZgXD7KP/UMkxD+Xy59JRZCIp0dHReHt7U658efU6PT09ypUvz7Vr15Lc59q1axrpASpUrKhO7+Pjg7+/P+XKlVNvNzExwc3Njata8hTpQ8o7c5HyFpB8y4dPVb9+fUaNGsWiRYto0qQJ3t7erFq1Ks26XWTYMR/Gjh3Ld999x/Hjx+nTp4+6T9KRI0c+qZnI3r17GTFiBDly5NBYHxkZyb59+5g5c2aqxp2RBAfGN98yy6l5l9rU3ILgoKSbdgH4vXjO77/soU6LNjRq25kHt73ZtHQeBgYGVK7dIFH6v44dxDhbNkpVrp6q8YuUCwoLJzYuDktTzfPA0jQHD1/6J7lPg3LuvA4Np9MPawCFmNg4WlUrTc8GVdVpnvkFsePkRTrVrkDPBlX596EPs7YewlDfgCaVSqThEYnU5B8ajqVJNo11ljmyEhYZRWR0DMaGBjwLDGHn2X/pULU4PWqU4t+nr5i9908M9fVpXNpVR5GL1LDp/C0iomKo5fpurJ+jN59wyzeI9Z2/0WFkIinJjV7+6OHDJPfx9/dPMr2/v796e8K691lYWhLgn/RnhEgfUt6Zi5S3gPjWKqmpQ4cOdOiQPmPuZdjKB1dXVw4cOJBo/ciRI9HT+3iDjrCwMBRFQVEU3rx5Q5Ys7/olx8bGcurUKSwsMlfT8DMnjrBu4Q/qx8Omzf2sfOKUOAo4u9KyW/yYGQ5OLvg8esBvv+5NsvLhz8MHqFCjDkZG0jc8I/n71kNWHvyT8e0b4FYwL09fBTJr2yGWHzhJn0bVgfg7pkXz52Fw81oAFLbPzT2fV+z442+pfPiPiVMUiuS1YVC9+MFkXe2suf8ygJ/P/iuVDxnY4RuPWXn6BnNbVMYiuzEAL0PC+fH4P3i1qU4WA30dRyiEEEJkLnG6DuALZNjKB23er0RITunSpVGpVKhUKurUqZNou0qlYuDAgakd3lfNo0JlHF2LqB9HR0cDEPw6kJyW75rehAQFYu/orDWfnBZW5LEvoLEut31+/v7r90Rpb1+/wotnT+g3btqXhi++gHmObOjr6SUaXDIgJAxLsxxJ7uO17zcaVXCnRdX4Qeyc89oS/jaKKRsP0KtBVfT09LA2y4FjbmuN/QrmtuL4PzfT5kBEmrAyyUZAaLjGuoCwCHIYG2FsGP8xYm2SDUdbc400BWwsOH49beaJFmnv6M0nTDv0N7OaVtToWnHrZSCB4W/puPbd4M6xisLlp37svHSP0999i34KbgKItPE5o5dbWVklmz7hb0BAANbW767pgQEBOLu4pGb44hNJeWcuUt4CIDYD1z5k2MoHV1dXVCqV1u3e3t7J7r9hwwYURaFz584sXrwYM7N3g6IZGhqSJ08ebG1tUy3ejCBrtuxkzZZd/VhRFMwsLLl5+SIO/69siHjzhge3blKjofZBSAoVdePlsyca614+e4KVbeJ+wacOHyB/IVfsHQsl2ibSj6GBAUUccnPe+wE1PeJnkYmLi+PcrYe09Syb5D4Rb6MTnYMJPzgSGoOVcLLnka9mk71HvgHktsyZqvGLtOXukIu/bj3WWHfuzlPc7d+d08Xz5+aR32uNNI/9X5Pb3ASR8Ry5+ZipB/9meuMKVHbKo7GtjIMtW7trVtpP+fUC+S1N6VTeVSoedMzQ0JDChQtz4fx5atSoAcRfzy+cP0+bNm2S3Mfd3Z0L589rNLs9d+4c7u7uQPwA3VZWVlw4fx5X1/iWTGFhYVy/fp2WLVum8RGJ5Eh5Zy5S3gLiK/wzqgxb+eDl5aXxOCYmBm9vb/bs2ZOiFgtly8b/oDpx4gR58uRJtiIjs1KpVNRp1pr9W9Zha5cP61y52b1uJTktrShZ6V2//h9GDqBkpWp80yT+AlWneRumDenFga3rKFu1Jg9u3+TkwX10HTJaI/+IN2+4cOo32vbOXC1MvladvqnIuDV7KOpgh1sBOzYeP0vE2yiaVoofQ2Xs6t3Y5DRhSIv4Pt7Vi7uw4dhZCtvnxq1AXp68CsRr729Uc3dW//jo9E0FOs5axcpfT1GndFGuP/Jh16lLTOzUWGfHKSD8bRRP/IPVj30CQ7jl44dZNmNym5uw6OBZXgW/YVrb+O4yLSsUY9vp68z/5QxNyxbmwr1nHLt2j8XdGqrz6FC1OF28drPqxEVqF3fi36ev2HXuBhO+rZ7ehyc+EB4VzdOgd62anr9+w23fIMyMjchllh2vk9fwCw1ncqP4AckO33jMpF/PM7yWB0XzWOAfFgGAsYE+OYyNyJ7FECfrnBrPkdXQALOsRonWC93o2LEjEyZMoEjRohQrVozNmzYRERFBk6ZNARg/bhw2NjYMGjwYgHbt29Oje3c2rF9PlapVOXz4MDdv3GDihAlA/PeB9u3bs3LlSuwdHLCzs2PJkiVYW1vj+f8fQEJ3pLwzFylvkYHrHjJu5UOtWrUSratbty5OTk4cPHgwxTV19+/f58WLF5QuXRqAzZs3s2PHDpycnJg4caJGi4jMqH6rDryNjGDdglmEh4VRqJg7I2bM1xif4dULH8KC3/2QKehShEHfz2LnmmXs27QWq1y5ad93CBVrat4pO3fyGKBQ3rN2eh2OSEbdssUIDHvDkn2/4R8Shmu+XCwf0hGr/3e7eBEQrFFJ16thVVQqWLznN169DsHcJDvVijszqFlNdZpiBexY0K8NC3YfZ/mBP7CzysnINnVpWN493Y9PvHPjmR89l+9VP/7xwGkAGpVyZWqbmviFhPPidah6u52FKYu7N2Tu/r/Y8tdVbM1yMPFbTyq62KvTFMtny7zO9Vh06Cw/Hb+InYUp3zWpTIOS0mRT17xfBNFn67tub/N/uwJAg2L5mdSwHP5hEbwMedetZs+V+8TGKcw++g+zj/6jXp+QXnz96tStS1BQEMuWLsXf3x8XFxeWLl2qHlDuxcuXqN5roVKiRAlmzJzJEi8vFi9ejL29PfMXLMCp0LtWiV26diUiIoKpU6YQGhqKh4cHS5cuTXF3V5F2pLwzFylvkZFbPqiU1B4uU8eePn1K48aNuXz5corSN2zYkO+++45q1apx+/ZtmjVrRv369Xny5AmOjo6fPdvFuceBn7WfyJhKPjn68UTiPyM26JWuQxDpKDpARvvOTAzbjtV1CEIIIVJBVmNjXYeQJu6+CtW6rZDN193d9T/VMTMyMpINGzZgY2Pz0bSvXr2ibdu23L17Fy8vL4KDgxk4cCCxsbH88ssv+Pn5cfLkybQPWgghhBBCCCGESIFYRdG6fO0ybLeLMmXKaDQBT5gy09jYmDlz5nx0/7lz56IoCtmyZSNnzpz07t2bgIAARowYQYMGDRg4cOBHB60UQgghhBBCCCHSS9zXX8egVYatfBgzZoxG5YNKpcLCwoLixYunaJyGM2fO4OXlxfLlywkPD+fy5cvo6+vTuHFjbG1tqVu3Lrdu3UrLQxBCCCGEEEIIIVIsAzRw0CrDVj40b659qseUCAkJwdbWlokTJzJ58mRUKhWDBg1ST6/58OFD/mPDYQghhBBCCCGEyMAyQvcKbTJU5cOntERImKdWG0tLS/z8/HB3d2fFihXMnTtXY37cTp068dtvv312rEIIIYQQQgghRGqKjpXKh3TRtGlTVCrVR1skqFSqj47X4OrqyuXLl7GysgKgXbt2hIeHEx4eP93YiRMnyJ8/f6rELYQQQgghhBBCfKnouDhdh/DZMlTlw4kTJ1Itr2XLlgHxlRDvjx2RQLpcCCGEEEIIIYT4msRl4N+pGarywc7OTv3/ihUrsLS05Ntvv9VI8/PPPxMYGEivXr1SlOfevXs1HkdHR+Pt7c3atWsZOnToF8cshBBCCCGEEEKkBul2oQPbt29n7ty5idYXKlSIoUOHprjyIamxIdzc3LCxsWH16tXUrl37i2MVQgghhBBCCCG+lAw4qQN+fn5YW1snWm9hYYGfn98X51+gQAGuX7/+xfkIIYQQQgghhBCpQVo+6EDu3Ln5559/yJcvn8b6S5cuYWNjk+J8wsLCNB4risKrV6/w8vLCwcEhVWIVQgghhBBCCCG+lIz5oAMtW7ZkxowZxMTEUL58eQDOnj3LnDlz6NatW4ryiI2NpVSpUqhUKo1BJxVFIXfu3MybNy9NYhdCCCGEEEIIIT5VdJxUPqS7Hj168Pr1ayZPnkx0dDQAWbJkoUePHvTu3TtFeejr62NoaMisWbPUrSX09PQwNzfHwcEBA4MM+/KIdKZvX1jXIYh05Feska5DEOnIyiBa1yGIdJRxJzATQgiRGUTHZtxPqgz761qlUvHdd9/Rr18/7t+/j7GxMfnz58fIyOiT8nF2dsbS0pKyZcumUaRCCCGEEEIIIcSXk5YPOpQ9e3bc3d0/aZ8TJ06o/69evTrjx4+nUaNG2NvbJ6q8aNiwYarEKYQQQgghhBBCfIk4qXzIWPr376/+X/n/gB3Lli1LMq1UPgghhBBCCCGE+Bpk4MkuMmflw61bt9T/X7hwQYeRCCGEEEIIIYQQKRMdJ2M+ZFgy1oMQQgghhBBCiIwgOgM3fdDTdQC6cvbsWerXr09YWBgXL15kxIgRtGnTBl9fX0JDQ6lSpQqbNm3SdZhCCCGEEEIIIQQQ3/JB2/K1y7SVD+vXr6dVq1acPn2a7t27Y2xszI0bN4iKisLExIQSJUqwdOlSXYcphBBCCCGEEEIAEBunaF2+dpm28uH27dtUqVKFZcuWMXnyZKZNm4aBwbteKI0aNSIoKEiHEQohhBBCCCGEEO9ExcRpXb52mXbMB39/fwwMDHj48CGlS5dOtN3U1JS4DNB0RQghhBBCCCFE5pARKhm0ybQtH2xtbbl79y5WVlY8efIk0fZjx45ptIQQQgghhBBCCCF0SbpdZEDVqlVj4cKFNG/enOnTp3P16lVUKhW+vr7s2rWLrVu34uHhoeswdU5RFHav/4lBbRrSo2E1fhg1kJc+Tz+6X6D/K5bPmkS/FnXo0bAa43q15+Edb/X2zrUrJLkc3CGDfOrSlv2HqdWxPyUatKf1wLFcu3UvRfsd/P00RWq3YsD3szXW+we9ZuycJVRr05uSjTrQa+x0Hvm8SIvQxWdQFIW1Py3j2wa1qVutAiMG9OFZEpWx79uyfg19u3agQY3KNK9Xkwkjh/Hk8SONND7PnjJh1HCa1a1BwxpVmDxuFIEBAWl4JCIltu3YSd1GTSldsQrtOnfj+r83tKa9d/8BQ78bRd1GTXEvXY6NW7YmSnPxn8sMGDqcmnUb4F66HL+d/CMtwxefaNu2bdSrV4+yZcrQoX17rl+/nmz6o0eP0rRJE8qWKcO3LVrw559/amxXFIWlS5ZQq2ZNypUtS+9evXj8+HFaHoL4BFLemYuUd+YmlQ8ZUN++fXn9+jU7duwgV65cdOjQgfDwcNq3b8/YsWPJkiULCxYs0HWYOndwxyaO7d1Jl0EjmbhoNVmMszJ3zBCiot5q3edNaAjTh/ZG38CA4dPnMXPlVtr0GkS2HCbqNAu3/aKxdB8+DpVKRekqnulxWCIJh06e4YcVG+jX4Vt+XvoDrgUd6DV2OgFBwcnu5/PyFXNWbqRUscIa6xVFYeCkOTx98Qqvyd+xa+lscttY033UVMIjItPyUEQKbdu4nt07tjJ01FiWrFqPcdasjBrSn6i32s/vq5cv0aRFK7xWrWfOomXExMQwcnA/IiIiAIiIiGDk4P6ogB+9VrDopzXEREcz7rsh0pVNhw4fPcac+Qvp07M72zetx8XZiT4DBxMQGJhk+sjISPLmtWPwgH5YWVommSYiIgKXQoUYO+q7tAxdfIYjhw/z49y59O7dm63btuHs4kK/vn21VgJeuXKFMaNH07RZM7Zt346npydDhwzh3t276jTr1q5ly9atjBs/no2bNpE1a1b69e3L22SuFyJ9SHlnLlLeIiOP+ZBpKx+srKzYtm0bzs7OnDlzhqioKBRFQaVSUalSJfbv34+VlZWuw9QpRVE4smc7jdp1oWTFqtgXdKLXyIm8DvDnn9OntO73645NWFjb0nPEeBxdi2KdOw9upcthmyevOk1OC0uN5fKZPylcvCQ2ue3S49BEEtbt+oWW9WrSvI4nTg55+X5wT4yzGLH7yO9a94mNjWPkrMUM6NiKfLltNLY99nnBVe+7TBzUAzcXJwrky8P3g3rw9m0UB0+eTuvDER+hKAq7tm+hQ9ceVKpaHcdCzoz+fgr+/n78deqk1v1+WLCEug0bU6CgI46FnBk1YTKvXr7kzq2bAPx77Qq+L54zauJkCjoVoqBTIUZNnMwd75tcvvh3Oh2d+NCGzVtp0bQJTRs3wrFgQSaMGU1WY2P27j+QZPpiRYswfPAg6tWpjZGRUZJpqlSqyMB+fajpWT3tAhefZePGjTRv3pymTZvi6OjI+PHjMTY2Zu/evUmm37J5MxUrVqRLly4ULFiQ/gMGULhwYbZt2wbEXy82b95Mz5498fT0xNnZmanTpuHn58fvv/2WjkcmkiLlnblIeYu3MXFal69dpq18ALCzs8PKyooTJ06wc+dOdu7cyfnz51mzZg2WlpaMGTNG1yHqlN/L5wQHBlC0ZBn1umzZc1DQtQj3vP/Vut/ls3+Sv5ArXlPHMqBlfSb07cTJg/u0pg8OCuTqhdNUrdsoVeMXKRcVHcPNuw8o7+GmXqenp0cFDzeueN/Rut/SzT9jkdOUFvVqJJknQBYjQ408jQwN+effW6kYvfgcL577EBjgT6ky5dTrcuQwoXDRYty8fi3F+bwJCwXA1NQMgOioKFCpMDR894PVyCgLKj09rl+9nErRi08RHR2N961blC9XVr1OT0+PcmXLcPVa8k11RcYTHR2Nt7c35cqXV6/T09OjXPnyXLuW9Ll97do1jfQAFSpWVKf38fHB39+fcuXeXS9MTExwc3PjqpY8RfqQ8s5cpLwFSMuHDG3v3r1kyZIFd3d33N3dMTOL/wIdGRnJvn3afzBnBsGB8c23zHJaaKw3NbcgOEh7/22/F8/5/Zc92Nrl47uZ86nRsDmbls7jr6O/Jpn+r2MHMc6WjVKVq6da7OLTvA4JITYuDivznBrrLc1z4h/4Osl9Lv17i92Hf2PK0N5Jbi+QLw+5bayYv2YLwaFhREXHsGr7Xl76B+CnJU+RfhKaZ5pbaJ7f5haWBAb4pyiPuLg4liyYSzH3EhRwdAKgSDF3shpn5aclC4mMjCAiIoLli+YTFxub4nxF6gp6/ZrY2FgsPyhrSwsL/AOS7nYhMq6goKD48v6gu4ylpSX+/kmfg/7+/smmT/j7YRoLS0sCtOQp0oeUd+Yi5S0AYhVF6/K1y7TTOYSFhaEoCoqi8ObNG7JkyaLeFhsby6lTp7D44Ivaf92ZE0dYt/AH9eNh0+Z+Vj5xShwFnF1p2a0vAA5OLvg8esBvv+6lcu0GidL/efgAFWrUwcgoS6Jt4uv0JjyC0T8sZvKQ3pibmSaZxtDAgEUTRzB+3jIqtOiGvp4eFUq6UaWMB0oGuDj+1xw/fJB5P0xXP57546IvznPhnFk8vH+fRT+tUa/LaW7OxBk/sGD2TPbs2IZKT48a39ShkIsrKlWmr+8WQgghhPgiGaGFgzaZtvKhdOnSqFQqVCoVderUSbRdpVIxcOBAHUSmOx4VKuPoWkT9ODo6GoDg14HktHw3/kVIUCD2js5a88lpYUUe+wIa63Lb5+fvvxKPHXD7+hVePHtCv3HTvjR88QVympqir6eHf9BrjfUBQa+xssiZKP2TF774+PrRf+K7yqq4/1couNVtw69rFmCfJxdFnQuyZ/kcQt+EEx0dg0VOU1oPHEsx54JpeTgiCRWrVKNw0WLqx1H/P7+DAgOxtLJWrw8KDMCpkMtH81s4dxbnTv/JguWrsLax1dhWplwFNu/aT/DrIPT1DchhYkKL+t+Q207GdNEF85w50dfXTzS4ZEBgIFaWmauSPTMwNzePL+8PBp8LCAjQOpaVlZVVsukT/gYEBGBt/e56ERgQgLPLx68XIu1IeWcuUt4CyBCzWmiTaW9DbdiwgXXr1qEoCosWLWL9+vXqZcuWLfz+++/07dtX12Gmq6zZsmNrl0+92DkUwMzCkpuXL6rTRLx5w4NbN3EqXExrPoWKuvHymeZ0fS+fPcHKNleitKcOHyB/IVfsHQul3oGIT2ZkaECRQgU5d+XdWB5xcXGcu/IvJQonrmgqmC8P+1bMZfey2erFs3wpyhYvyu5ls8llrfkBaJI9GxY5TXnk84Ibd+9To0KZRHmKtJUte3bs8tmrl/wFCmJhacU/f19Qp3nzJgzvG/9SxM1daz6KorBw7iz++uN3fvRaQe482isUzHKak8PEhH8uXuB1UCAVq1RL1WMSKWNoaEhhV1fOX3g34GdcXBzn//6b4u5uyewpMiJDQ0MKFy7MhfPn1evi4uK4cP487u5Jn9vu7u4a6QHOnTunTp8wRtb7acLCwrh+/TrFteQp0oeUd+Yi5S0AomJitS5fu0zb8qFs2fiBt06cOEGePHlQqVQ6jujro1KpqNOsNfu3rMPWLh/WuXKze91KclpaUbJSVXW6H0YOoGSlanzTpCUAdZq3YdqQXhzYuo6yVWvy4PZNTh7cR9chozXyj3jzhgunfqNt78zVwuRr1aVFQ8bMWUKxQgVxc3Viw+6DRES+pVmd6gCMnu2FjaUFw7q3I4uREYUK2Gvsb5ojO4DG+sOnzmJhZkpuGyvuPHzCzGXrqFmxDJVKF0+34xJJU6lUtGjdjk3rVmGXz57cefKw9qdlWFlZU7lqdXW64QN6U7maJ81atgHiu1qcOHqIabPnky17NvU4Dtmz5yCLsTEAh37Zh0P+ApjlNOfm9WssmT+Xb9u0x94hf3ofpvi/Tu3bMn7SFIoUKYxb0SJs2rKNiIhImjZqCMDYiZOwtbFm8ID+QHzLt/sPHqr/f+Xnx63bd8iWLSv2+fIBEB4ezpOnz9TP4ePznFu372BmZkruXIkrm0X66dixIxMmTKBI0aIUK1aMzZs2ERERQZOmTQEYP24cNjY2DBo8GIB27dvTo3t3NqxfT5WqVTl8+DA3b9xg4oQJQPz1on379qxcuRJ7Bwfs7OxYsmQJ1tbWeNZIPOCwSF9S3pmLlLfIyC0fMm3lQ4L79+/z4sULSpcuDcDmzZvZsWMHTk5OTJw4UT0AZWZVv1UH3kZGsG7BLMLDwihUzJ0RM+ZrjM/w6oUPYcHB6scFXYow6PtZ7FyzjH2b1mKVKzft+w6hYk3N7i3nTh4DFMp71k6vwxHJqFe9IoHBISzesAP/oNe4FszPiulj1YNQvnjlj94nVtL5BQQxe/kG/F+/xtrCnCa1qtKn/bdpEL34HG06diYyMoJ5s6YRFhaKm3sJZi3wwui9MXCeP3tG8OvX6sf7d+8EYGi/nhp5jRw/iboNGwPw9PFjVi31IjQkmFy589C+S3e+bds+7Q9IaFW39jcEBb1m6fKf8A8IwMXZmWWLF6gHGHv50hc9vXeNIV/5+dGqfUf14/UbN7N+42ZKlyzJmp+WAXDjpjfd+/RTp5kzfwEAjRs2YNqkielwVEKbOnXrEhQUxLKlS/H398fFxYWlS5eqy/vFy5eo3ivvEiVKMGPmTJZ4ebF48WLs7e2Zv2ABToXetUrs0rUrERERTJ0yhdDQUDw8PFi6dKnGmFlCN6S8Mxcpb5ERptTURqVk8pHfGjVqxIgRI6hWrRq3b9+mRYsWdOvWjfPnz1OwYEFmzpz5WfmeeywjiGcmZXiq6xBEOnpp6qTrEEQ6sjKI1nUIIh3FGRrrOgQhhBCpIKvxf/N6Xn/5Ga3bDvapmI6RfLpM3/Lh2bNnODo6AnD06FFq1KjBsGHDuHHjBr169dJxdEIIIYQQQgghRLyMPNtFph1wMoGhoSGRkZEAnDlzhkqVKgFgZmZGWFiYLkMTQgghhBBCCCHUlDhF6/K1y/QtH0qWLMnMmTMpWbIk169fZ8GCBQA8evSIXDJglhBCCCGEEEKIr0RcBqhk0CbTt3yYOHEiBgYGHDlyhO+//x5b2/j56k+dOkWVKlV0HJ0QQgghhBBCCBEvLjZO65IWnj17xtixY6lRowbu7u7UqlWLRYsWERUV9cl5ZfqWD3ny5GHFihWJ1o8dO1YH0QghhBBCCCGEEEmLjUnflg8PHjxAURSmTJmCg4MDd+7cYcKECURERDBq1KhPyivTVz48f/482e158uRJp0iEEEIIIYQQQgjtYtOohYM2VatWpWrVqurH+fLl4+HDh2zdulUqHz5VjRo1UKlUWrd7e3unYzRCCCGEEEIIIUTSkhtYMioqKlF3CCMjI4yMjFI1htDQUMzMzD55v0xf+bB3716Nx9HR0Xh7e7N27VqGDh2qm6CEEEIIIYQQQogPJNfyYcWKFXh5eWmsGzBgAAMHDky153/8+DGbNm365FYPIJUPuLq6Jlrn5uaGjY0Nq1evpnbt2jqISgghhBBCCCGE0BQXo73yoXfv3nTt2lVjnbZWD3PnzmXlypXJPtfBgwdxdHRUP/b19aVHjx7UrVuXVq1afULU8TJ95YM2BQoU4Pr167oOQwghhBBCCCGEAJKfavNTulh069aNZs2aJZsmX7586v99fX3p1KkTHh4eTJ06NWXBfiDTVz6EhYVpPFYUhVevXuHl5YWDg4OOohJCCCGEEEIIITQpSurMdmFhYYGFhUWK0iZUPBQtWpSZM2eip6f3Wc+Z6SsfSpcunWjASUVRyJ07N/PmzdNRVEIIIYQQQgghhKb0nmrT19eXjh07kidPHkaNGkVgYKB6m7W19SflpVJSq+okg7pw4YLGYz09PczNzXFwcMDAINPXzQghhBBCCCGEyKR2797NmDFjktx2+/btT8or01c+CCGEEEIIIYQQIm1lylv7J06cSHHamjVrpmEkQgghhBBCCCHEf1+mbPmQ1PSaSVGpVHh7e6dxNEIIIYQQQgghxH9bpqx8EEIIIYQQQgghRPr5vDkyhBBCCCGEEEIIIVIo01Y+nD17lvr16xMWFpZoW2hoKA0aNODvv//WQWRCCCGEEEIIIcR/S6atfFi/fj2tWrUiR44cibaZmJjQunVr1q1bl/6BCSGEEEIIIYQQ/zGZtvLh9u3bVKlSRev2SpUqcePGjXSMSAghhBBCCCGE+G/KtJUP/v7+GBhon2nUwMCAwMDAdIxICCGEEEIIIYT4b8q0lQ+2trbcvXtX6/bbt29jbW2djhEJIYQQQgghhBD/TZm28qFatWosXLiQt2/fJtoWGRnJ4sWL8fT01EFkQujOhQsXdB2CEEIIIYQQ4j9IpSiKousgdMHf359mzZqhr69P+/btKVCgAAAPHjxgy5YtxMbGsmfPHqysrHQcqRDp46effmL//v306NGDpk2b6jockU7i4uLQ08u09dBC/GcpikJcXBz6+vq6DkWksdjYWCIiIpIcRF0IIb4mmbbyAcDHx4dJkybx119/kfAyqFQqKleuzMSJE8mXL5+OI9Q9RVFQqVS6DkOkg6dPnzJr1ixCQkJo3rw5zZo103VIIh2dOXMGV1dXLCwsdB2KSAPaKpnkGv/f5efnp+4++scff+Ds7Ezu3Ll1HJVIbYqi8PPPP+Pm5oarq6uuwxHpRG4ciIwqU1c+JAgODubx48cAODg4YGZmpuOIvg7vX9hevXpFREQEDg4OOo5KpIWoqCiMjIwICAjg+++/JyIigsaNG9OkSRNdhybSweXLl+nXrx+bNm3C0dFRvtT8x7xfnhcvXsTPz4+cOXPi5OSEtbW1lPd/0D///MOYMWOYP38+Bw4cYP/+/ezZswcbGxtdhybSwPTp07G1taVHjx6JtkkF43/P+9fsv/76C1NTU9zd3XUclRApo326h0zEzMxMTtoPKIqivrAtXryY33//HV9fX/Lnz0+9evVo2rSpNO/7j4iLi8PIyAiAmzdvkidPHvbu3Yuvry8GBgY0aNBAxxGKtObh4UG+fPlYvHgxCxYskB+i/zEJ5TlnzhyOHz+OgYEBNjY2vHjxguXLl5M/f37dBihSnUqlolixYvTq1YuoqCj27duHjY2N/BD9j4qNjSU2NhaIb9UbHh6Ora0tpqamqFQqqWD8D3n/+/ncuXM5duwYffr0wd7enpw5c+o2OCFSQK5EIkkJX06WLVvG1q1b6d+/P8eOHSM2NpaNGzfy/PlzHUcoUkvCh9iPP/7IyJEjyZUrFz179iQ6OpoNGzawb98+HUcoUlNcXJzG46ioKAC6dOnCixcv1LMASaO4/5Zt27axZ88efvjhB3799VcqVKjAo0ePuHfvnq5DE2nAw8ODvHnz4u/vj7m5Oa9evQLiP9vl3P7vSCjLevXq0b59e3766ScGDx5M69atGTlyJDNnzgSQiof/kPe/n+/evZtp06bRsGHDRBUPH37WC/G1kKuRSJKiKAQFBfHnn38ybtw4atasydWrV7l9+zbdu3fH2dmZmJgYubj9Rzx+/JiDBw8ydepUunXrRs+ePVm9ejU5cuRg7dq1HDx4UNchilSS8CU0YWaThFYvJUuWxNfXlyNHjgDI3dH/EEVR8Pb2pn379pQoUYITJ06wbNkypkyZQq1atQgPDyckJETXYYovlPB5HBsbi6IoVKhQgXnz5lG8eHHGjx/P2bNnNdKJjC/hOl2mTBl27tzJqlWrGDZsGEePHsXY2Jjdu3dz/fp1HUcpUkPCeasoCv7+/vz222+MHDmSMmXKEBgYyIULF5g+fTrLli0D4j/rpaJRfI2k8kEkSaVSoVKpCA8Pp1q1apw6dYp+/foxcuRIWrVqRWRkJPv27cPHx0fXoYpUkD17duDdXfDY2Fjy5s3LjBkzePnyJevWrWPr1q26DFGkorNnzzJy5EiaNGnCnj17ePr0Kbly5WLAgAEcPHiQW7du6TpEkYpUKhVv377F1NSU33//nREjRqiv5bGxsRw6dIiDBw8SExOj61DFZ3q/WX1gYCBhYWGUL1+e+vXr06pVK5ycnJgxYwbnz59Xz36xb98+fH19dRm2SAWKohAYGMipU6eYNGkSFStW5Pbt2/zxxx+MHDkSNzc39We7yJiio6PV53dYWBgmJiYYGxtz9+5djh8/zowZM/jxxx+5efMm69evZ9asWYDcRBBfJ6l8EEDSTawTmnANHTqUYcOGMXbsWNq2bQvEj6K9d+9ebt++nZ5hilSgrSY8S5YsXLlyBUDdR9TW1pbChQvz4sULHj9+LLXoGdS1a9fU/2/evJlnz56xZcsWihQpwu7du2ndujWbNm0iJiYGW1tbnjx5AqDuQywyDm13ta2trVm/fr264iHhWh4cHMzBgwcJCQnBwECGgcqoEn6YLFy4kI4dO9K6dWvGjBkDQOnSpenYsSPOzs5MnDiR7du307NnT1atWqWeDUNkHIqiaFybVSoV2bNnJzQ0lIIFC/Lbb78xYMAARo4cScuWLdVjfly+fFmHUYvPdebMGTZu3AjA999/z/Dhw9HT06NYsWJcvnyZwYMHky9fPoYPH87mzZupWbOmVCSLr5p80xAad0xevHiBiYkJ2bNnR6VS0bt3b2bNmoWHhwctW7YEICIigqlTp6Knp4enp6cuQxef6P2yfvr0KSqViqxZs2JlZcWwYcMYNGgQuXPnpmvXrkB8bbuVlRXt27enRo0a6v7CUpuecTx9+pRu3bpRv359cuTIwcaNG9m7dy958uRh5syZ+Pj4cPz4cfbt20e2bNk4f/48wcHBVKtWjSxZsug6fPEJ3j+/z58/j4GBAVmzZqVIkSIMGjSICxcuEBkZiYeHB4GBgbx9+5YJEyYQEhJCt27ddBy9+Bzvl/muXbvYuXMngwYN4vXr16xbt45u3bqxbNkySpYsiaGhIT///DOrV68mf/787N69W900W67pGcezZ8/UU8Fv3rwZJycn3N3d0dPTY9GiRVy6dInvvvtOXcH44sULDh8+TKtWrXQZtvgMMTEx7Nu3j7t37/LHH39w69YtNm7ciKGhISNHjuTZs2dER0dTsGBB9T5PnjyhePHiOoxaiOTJVJtCbf78+Zw8eZKQkBA6d+7MN998g7W1NT/99BMbN26kSJEi6oGrgoOD2b17N4aGhsTGxqqbcYqv1/tfMBcvXsyxY8eIjo4mNDSUIUOGUKdOHfbv38/UqVOpUaMGOXPm5PHjx4SEhLBv3z709PRkxOwMxMfHBzs7O8LDw/nzzz8ZOXIk+vr67Nu3j3z58vH27VuNyoWnT5/y6tUrVq9ezY0bNxg9ejT16tWTHyYZ0A8//MDu3bsxNjZGX1+f7t270759e3x9fenatSvR0dG8efMGe3t74uLi2Lx5s1zLM7g///yTgIAADAwMaNiwIQA3btygf//+FChQgBUrVmBkZERsbCzBwcHkzJkTPT09YmJipMVLBnLr1i2aNm3KggULuHbtGrt27WLHjh04ODhw+vRpBgwYQLly5Vi+fDlxcXGEh4czbNgwIiIiWLdunZzfGdS3337Lv//+S7du3Rg5cmSi7W/evOHp06fMmTMHPz8/du/eLee1+GpJ5YMA4ODBg8yePZuRI0fyzz//cObMGUqVKkWvXr3IkycPFy9eZOvWrVhYWJArVy66deuGgYGBfHHJgJYuXcrGjRuZPXs2JUuW5LvvvuPSpUts376d/Pnzc/HiRXbs2EF4eDimpqZMnjwZQ0NDqXjIQH744Qf+/fdfNmzYgEql4o8//mDw4MEYGRnRoEEDvv/+eyD+roqenp5GucbFxdGrVy+yZcvGokWLdHUIIoUSPsITKogePnxIv379mDNnDpGRkZw7dw4vLy/Gjh1Lp06dADh+/DhhYWHY2tpStmxZ9PX15VqegT1+/Jg6deoAMGXKFI073Ddv3qR///4ULFiQxYsXky1bNvU2uaZnHMHBwZiZmREZGcmGDRtYtGgRxsbG7Nu3Dzs7O/X5u3XrViZPnkylSpVQFIWoqChCQkLYtWuXVDBmIAmV/lFRUYSFhfHDDz/w5s0b/P39qVOnDu3atSNLlixER0djaGjIL7/8wv79+4mLi2PZsmVS1uKrJpUPmdSHXzoOHjzIixcv6N69OxDffHPz5s0ULlyYbt264ejomCgPubB9/T78QREeHs7AgQNp2rQpjRo14vjx44wdO5bBgwfTvn179QdZVFSUehaEpPIRX7eAgABMTU0xNDQkKCgIc3Nznjx5wr///sv06dPx9PRk2rRpGvu838Lhjz/+YM6cOaxdu1b6hGcga9as4enTp2TNmlV9dywkJITNmzezcOFCRo8eTZcuXRLtJ9fyjOXD1kj/Y+/O43LM/sePv+ruTkVN1kIZZF+yR2YsYxtjMLbIzpDBhIgiZI9QRFlKWVNEyb4k+25slT3LZCu0aNVy378/+nV974yZz+x1mfP8Z8Z9X9f1OPfjdM51zvtsOTk5nDt3jnnz5tGgQQNWr15d6Po7d+5gY2PD4MGDpX0gBPmYMGECRkZGLFq0CIDQ0FBcXFwA8PT0pFu3boWuv3HjBocOHUKlUlGlShUGDhwoBotk5NeCgmq1GhcXFx4+fEi3bt2kAATkbzL79OlTGjVqJGY0CcWe+Mv8D1Kr1VLFFhISQlxcHD///DONGzeWrunbty+Qv55w8+bNDBgwgPr160v3a2lpicZqMTd06FDatWvH6NGjpc/S0tK4e/culpaWXLp0iWnTpkmbz2VlZbFu3ToGDhyIiYmJdI9arRYvMZkpW7YsAPv372fatGns27ePGjVqYGxszNSpU1m+fDmurq7Mnz8fyJ8p0apVK9q1awfA0aNHUavV6OvrF9lvEH7b2LFjMTMzY9asWUB+kOHx48eEhYXRsWNH6TojIyOGDBmClpYWS5cuJTs7mzFjxhR6lqjL5UOzY5KVlQWAnp4e7du3R6VSMXXqVKZPny7tdg9Qt25d9u/fL+0TIMiLi4uLVKdnZWXRrVs3mjRpwrFjx6QlFX379pWCiI0bNy7UnoP8AKN4j8tDQfkODAwkOjqaSpUq0bp1a5o1aya9t48cOUJ2djb9+vVj0qRJmJmZSWVepVKJvBaKNTHz4T9Gs+GyYsUKtmzZQr169aQKbunSpTRs2FC6PiwsDC8vLwYNGvSLBqtQfF28eBEDAwPq1KmDrq5uoXyfOnUqycnJXL16lVmzZtGvXz8A4uPjmTx5Mra2tvTs2bMoky/8SR+OmLx69YqZM2dy7949Nm3aRI0aNUhNTSUiIoKlS5diYWGBQqEgLi6Oo0ePSg0WBwcHRowY8YsGrFB8REdHU6tWrUIzlJ48eUJwcDCbNm36xYhoamoqvr6+XLlyhaCgILGPhwxplm9fX1+io6O5d+8eXbt2pW3btjRr1kw6SrVLly4sXrz4F88Qs1zkRTPPg4KCCAwMZNOmTZQrV46MjAz8/f3x8fFhyZIl9OrVC8hv27Vp04bmzZuLPXtkRDOvV65cSVBQEM2aNSM+Pp6srCwmT55Mp06dyMzMZMmSJVy7do3U1FTKlClDcHBwoXeBIBRnIvjwH/XgwQN27NhBz549sbS05NixY2zbtg0DAwPs7e2lWQ6QPwX7yy+/FA0WmRg6dCg6Ojr4+fmho6PD+vXrefbsGbNmzaJEiRIEBgayYcMG6tSpw9q1a4H8GRGTJ0/m/fv3bNy4UeS1zJ06dYomTZpgZGREQkICs2bN4tatW2zbto0aNWqQnp5OVFQUISEhGBkZ4eLiglKplJbdCPKxadMmjh49yvbt24H8nfA3btxIWFgYbm5udO3aVbo2IyMDfX19cWqNzHl6erJjxw5mzJhBVlYWO3fuRKVSsXHjRoyMjKQNZps1aybV8YL8aHZGb926hZGRESNHjqRKlSp4eHhQrlw5MjMz2bBhAz4+PgwaNIh79+6RlJTEvn37xHtcpmJjYwkJCaFbt25YWlpy584dtm3bxrlz55g1axadOnXi/fv3REVFkZKSQvv27cW+PYKsiJ2G/oOOHTvGqFGjuHLlCqampgB07tyZQYMGkZmZyerVq4mJiZGub9euHQqFotC50kLxtGfPHh4/foyvry86Ojq8fv2aatWqERISwsqVKwGwtbXl66+/5vnz5/Tp0wcHBwdGjRolnXQg8lre4uLi+OGHH3B3dyc1NZUKFSqwYMECLC0tGTJkCLGxsZQsWZJWrVrh4eHBnDlzUCqV5ObmisCDDNWqVYvY2FjGjRsHgJmZGSNGjKBPnz7MmjWLI0eOSNcaGBiIwIPM3b9/n5MnT+Lj40OvXr34/PPPiY2NZejQoZQuXRqFQkH79u2ZP38+79+/R6VSFXWShT9Bc3nsihUrmDdvHgYGBmzevJm4uDgmT57Mmzdv0NfXZ/z48SxYsICHDx9SpUoVwsPDUSgUIu9l6NixY4wYMYJz585RoUIFIH/Z1IgRI/jiiy9YtGgRERERlChRgubNm9OxY0epzSYCD4JciODDf5Curi7169fn6dOnvHr1Svq8YAfdnJwcFixYwOPHjwvdJ6LoxZ+BgQFly5bl3r17uLu74+PjQ5cuXVi1ahVbt27Fzc0NhULBtGnTcHBwoFmzZpQtW5auXbtKu2Hn5uaKvJYxc3NzfH19OXDgAMuWLSM1NRUTExMWLFhAo0aNGD58OPfu3St0j9jXQx4+1pmwsrLCx8eHmzdv8sMPPwD5fwPDhw+nd+/eTJo0iUuXLhW6RwQe5EulUpGVlUXjxo05evQo48ePZ/r06fTt25fMzEwOHDhAUlISXbt2JSAgQDoiWZCXgjJ6584doqKicHFxoUKFClSpUoWNGzfy/PlzKQChUCiwsbFh7dq1LF68WHqPi5NM5EdPTw9LS0vi4uJ48eKF9HnNmjUZMWIEbdq0wcHBgZ9++qnQfaLNJsiJWHbxifu1XXOvXr2Kj48Pb9++ZeHChVhaWkrfhYeHEx0dzYwZM8TLSyYKRjLj4uKYMWMGycnJPHr0iH379kknlRw5cgRHR0cGDRok7ZT9IbEeWP4K/hbOnj3L2LFj6dOnD9OmTcPQ0JD4+HgmTJhA6dKlWb9+fVEnVfgDNOvy27dvk5qaSuXKlSlfvjwlSpTg8uXLODg40LBhQylvHz9+zKlTpxgyZIgILsmQ5gyVgv+PiYlh5syZDBgwAA8PDyZPnszgwYOB/Pf69u3bGTNmDHXq1CnKpAt/g8DAQE6fPk1ubi5eXl6UKlVKqgeePn3K999/j5mZGUuXLv3FJtEiwFj8/Vr7/ObNm3h5efH69Wvmz59PkyZNpO/u3LnDmTNnGDVqlGirCbIlgg+fMM2K7fz582RmZpKdnc0333wDwE8//cSGDRuIj49n3rx5hTaa/NgzhOJp6tSpjBkzhpo1a6KlpcWYMWM4d+4czZo1Y8qUKYU2DSwIQAwdOpTJkyeLDYo+EevXryc9PR0HBwe0tbWlxufp06cZP348tra22NvbY2xsTGJiIsbGxqJcy4hmZ2L58uXs378flUpFamoq33zzDQMGDKBRo0ZcvnyZKVOm0LBhw1+s9RfrgeVF89374dHHY8eO5eTJk0yZMkXaCDorK4uJEyeiUCjw8fER5VuGPmxv7dmzBzc3N7S0tFi7di1NmzYtdN3PP/9Mjx496NevH7Nnzy6qZAt/gmZeHzhwgNevX5OYmEi/fv2oUqUKUVFR0n5dc+fO/ejmz2KwSJArEXz4D3B3d2ffvn2ULFmShIQEateuzbRp02jWrBlXr14lICCAhIQEXFxcpJebIA95eXlMnjwZDw8Pab3+ypUr+fzzz9m+fTvlypVj2LBhWFtbS/ccPXqUiRMnMmvWLIYMGVJUSRf+gg8bqZs3b2bx4sVMnjwZOzs7aaq1trY2y5cvZ8OGDfTq1YvZs2dTsmTJjz5DKP4CAwPx9vbG09OTWrVqce7cOXbt2oWhoSETJkygTp06XLlyhaFDhzJy5EicnZ2LOsnCX7RhwwbOnz+PmZkZLVu25NtvvyUpKQl7e3uePXvGsGHDyMnJ4eLFi7x584awsDCUSqUo3zJ27do1LC0t0dHRITIyEldXV7788kvs7OykmYwF+RsfH0+5cuVEJ1Smli5dyt69e7G2tubRo0ekpaUxcuRIbG1tuXz5Mlu3buX58+fMmDGDFi1aFHVyBeFvIYZBPnG7d+9mz549+Pv7U758eVQqFePHj2fRokUsWbKE5s2bk5OTg7e3NyEhISL4ICMFUe9Vq1YB+R2TRo0a4eDgAICFhQVz585ly5YtAFIAokuXLmzevJlmzZoVSbqFv66gUxEbG4uZmRnDhw/HwMAAV1dXVCoVY8aMkRqjxsbGfPXVVzx//hx9ff1fPEMo/gpmPly7do0uXbpIZblnz54YGRmxYsUKIiIiqFOnDk2aNCEsLIxatWoVcaqFv2rz5s0EBATw3XffER0dTVRUFC9evMDOzo4NGzawYMECIiIi0NPTw8LCgg0bNqCjoyNmucjY6dOnWbx4MT169GDMmDF06NCBrKws3N3dKVGiBMOGDcPCwkKa4Vaw3EKMgsvPwYMHOXDggHT62KlTp/jhhx8oW7YskL+fj0KhYOXKlYSGhorgg/DJEG+nT9yTJ09o0qQJ9erVkxokgYGB9OnThxUrVrB27Vqsra0xMjKibt26RZ1c4Q8o6DyqVCq0tLRYt24dBgYGLFu2jHr16mFpacncuXOZO3cuW7duBf4vANGyZUtATMWWG83RzIMHD7Jq1Srs7e3p0qULNjY2qFQq5s2bR15eHn369KFcuXLcuHEDGxsbOnTo8ItnCPKTkZEB/F9no3379ty4cYOQkBBGjx6Nnp6eVJeLDom8fFg2U1NTcXNzo3379jx//pwdO3awa9cu1Go1Y8aMwc3NjXfv3lGqVCnpPlGny1ujRo1o0aIFZ8+eRaFQMGrUKLp16wbkj5IrFApsbW2pVatWoX0dRDmXn4SEBJo2bUqdOnXYv38/c+bMwdXVlc6dO5OWlkZqairNmjXDxcWF2rVrF3VyBeFvI1qgn5CP7Wj9+vVrUlJSANDR0SErKws9PT2cnJyIiori559/BqB+/fpiV2wZKQg4ALx79w4tLS1OnjyJgYEBM2bMICYmhtzcXCwtLZk/fz6vX79m1apVREdHF3qOaKTKh2bH5NChQ8TFxfH06VPWr1/PiRMnyM7OZsCAAbi5ubF27VpGjhxJt27dePr0KW3btgUKH98mFF8f1sMFZb1mzZpERERw//79Qp2NKlWqULly5V88R3RI5EOzfEdGRnL27FmuX78u5WHlypUZOHAgXbt2JSwsTNpU1MjISLpPnFojLx9b9fzZZ58xbdo0atasyYkTJ/D39yc3N5du3brh5OTEjh07OHPmTBGkVvgrPta2jo+PR09Pj+joaGbPni1tCA75+0CEhoaSk5ND3bp1Rftc+KSIVugnQrPhcubMGemYzD59+nD79m1p6r2enh6QPzpSunRpSpUqVeg5omNS/Gnm9aZNm1i3bh0PHz5EoVCwa9cuFAoFLi4uUgCiQYMGuLi4UK1aNerVq1fEqRf+LM0z3+fOnYuhoSHTpk1DW1sbT09Pjh8/TnZ2Nr169SIoKIjhw4czcuRIwsLC0NHRIS8vT+yALgOa5fv06dOcOXNGChqOHTuWZs2aYWdnx/Xr10lISCA9PZ29e/dSpkwZSpQoUZRJF/4kzaCgu7s7jo6OuLi4cOXKFc6ePStdV7FiRWxtbfn666/x9/cnPDy80HNE+ZaXgvwKDw8nODhY+tzQ0BBHR0dq167Nvn372LJlC3l5eXTr1o0NGzYwYsSIIkqx8GcVlO9bt27x+vVrAL755hsiIiLo168f8+bNkwIPWVlZREREkJiYKO3lpfkMQZA7seHkJ+DDndAjIyPp2bMnw4YNIzc3l40bN7J3715sbW2xtbXl3bt3LFiwgNzcXPz8/ESDRaaWLl1KWFgYM2fOpEmTJtLIZ15eHr169UKtVuPm5kbdunULvcDEtHt5UqvVvHjxgmHDhuHo6ChNxc3JyeH777/nxYsXTJ06la+++koKMhYQ0+/lZ+nSpYSGhqJWq6lSpQrt27fnxx9/JD09nWnTpnHp0iWMjY0xMDBAS0uL3bt3o1QqxTF7MpaQkMDEiROZO3cukB98KpjFNHHiROm6Z8+ece7cOfr16yfKtQxpltH09HTGjRtHdnY2tra29OrVS7qu4LP09HS+/vprJk2aJOW3qNPlQbO9de7cOemEmj59+vDZZ5+xbt06goODGTJkCH379uX58+esXr2ahIQEdu/ejY6OjqjThU+OmJ/3CSiolPz8/AgJCcHX1xcLCwsMDAwA6NevH/r6+qxdu5ZNmzZRsmRJDA0NCQ4ORktLS3RGZSg8PFzaqKh+/fpAfic0Li6O6tWrExYWRt++fRkzZgzbtm2jRo0a0r0ir+VJS0sLXV1dtLW1pWDS+/fvKVGiBP7+/nTp0oWAgABUKhWdO3dGV1dXarSIRmrxp9nAjIuL48aNG2zevBmVSsXRo0c5ePAg79+/Z8qUKaxZs4aIiAhp/4dvv/0WhUIh1vvLmK+vL5cuXaJq1apUr14dXV1dTE1N0dXVxcfHB0AKQJiZmTFgwABAdELlRrO9FRcXh7m5OcuWLWPRokXSfh69e/cGQFdXl3r16nHt2jWysrIKvbtFnhd/mjOaAgMDyczMJCsrC19fX7S0tLC1tcXGxgYtLS38/PwICAigQoUKlC9fnl27dkkzFkVeC58a0Ur5RKSlpXHlyhUmTpxIo0aNpLVhKpWKypUrM2bMGHr27El0dDSlSpWiRYsWorEqIx8GiJKTk6latSr169fn0aNHnDlzhp07d5KSksKAAQOYMGECu3fvZubMmVSrVq0IUy78WR8b7fjss8/Q1dUlIiKCzp07U6JECXJyctDR0aFatWo8ffqUjRs3oq2tTceOHQsFIITiS7N8Z2RkkJmZSbly5fj888/R09OjQoUK6Orqsm/fPvLy8pg2bRqdOnUq9Iy8vDxRl8uUSqXC2NiYmzdvUrFixUIn1RSMhK9du5a0tDRcXFwK3Ss6JvKhWc5XrVrFlStXsLe3p2XLlsycOZP58+cTGhqKSqWib9++qFQqcnJycHBwoHPnzmhpaYn6XEYK8snb25vNmzezaNEiaXZywZ4tAwcOZNy4cdjY2PD48WPKli1L1apV0dbWFu1z4ZMl/qo/IQ8fPpSO4il4wWlra5OVlUViYiKVKlXC1NRUul40VuWjID+9vb357LPPKFmyJAkJCTg4OPDgwQPq1KnDN998g6GhIUuWLKFLly7Url0bd3d3QIyOyY1mI/XRo0colUpyc3OpVq0azs7OTJw4kXLlyjFt2jRpqn25cuWwt7dn/fr1bNiwgezsbL755ht0dXWL+NcI/0tBXq9evZpjx47x2WefkZOTIy2fKVu2LP3790dLS4sDBw6Qnp4uTc0vIMq3fHwYTNbW1qZXr17o6enh4uLC8uXLcXZ2Bv4vAJGRkcFPP/0kOp8yVpDnK1euJCQkhDlz5kiDAyYmJri6urJkyRK2bdtGUFAQSqVSOvFEzFKVj4J8UqlUpKamEhERwY8//kiXLl0A6Ny5M25ubtIx6T169KB8+fKUK1eu0DNE+1z4VIm/bBn62AsoNzeXSpUqERcXR1ZWFiVKlJAaKA8fPmTHjh1MnDiR8uXLS/eIxmrx9+HRiiEhIWzYsAFDQ0NSU1O5dOkSI0aMoGXLllSpUoVbt27RqFEjPvvss0LPEXktH5pTNVetWkVkZCSZmZm8f/+e0aNH06tXL2bOnMmiRYuIiorCzMyMR48ekZyczLJly/D19WXQoEHs3LlTmv0gFE+aQcGdO3eyfft2Ro4cycOHDzl48CBz5sxh3rx5wP8FINLS0nj58qXohMqUZp1+69YtEhISqFy5MiYmJvTs2ZOcnBzmzJmDtrY206ZNA/IDEMOGDWPcuHFi9Fsmfi1Q8OjRI44cOcKCBQuk448hvw1nYmLC7NmzOXnyJDdv3qRkyZJMmTIFhUIhAg8yofn+TkhIoHTp0oUG+gqWSrq4uHD//n22bt2KQqGgb9++hTaAF3ktfMpE8EFmPlwvqK+vj5GREcbGxvTt25cZM2bw+eefY2Njg5GREampqXh7e6OtrU3ZsmWLOPXCH1WQ1xcuXCAqKoqRI0dSs2ZNAEaOHMmQIUNQKpWoVCoyMzNZs2YNBgYGVKhQoSiTLfwFBZ2KNWvWEBgYyKpVq6hRowZLly5l4cKFtG3blt69e9OgQQM2bNjA+/fvqVGjBnPmzJGesXXrVhISEn5xmo1QvBQEHs6ePYtCoWDOnDl07dqV1NRUmjdvzooVK1AoFLi6ugJQpkwZ7OzsMDIyEp1QGdLsmCxfvpxjx44BULp0aZRKJXPnzqVv374oFApmz56NtrY2jo6OAFJZFnle/OXl5XHs2DG6du36i+9SU1N59+4dtWrVAv4vP3V0dMjOzuazzz6jT58+9OnTR7pHTL+XB82yOWfOHG7dusWOHTv4/PPP2blzJ0OGDJGWSiqVSszMzEhMTMTf359q1arRtm1bEWQS/hNEbSYzmsft7du3D319fczMzFi+fDm9e/cmJSWFZcuWcfbsWVQqFe/fvyc9PZ3Q0FBpGpio2OTl+fPn2Nvbk56ezsiRI6XP1Wo1SqWSjIwMIiMj2bVrF8nJyYSEhIi8lrn3799z69Yt5syZQ8uWLYmIiODEiRO4urpSpUoVsrOzqVu3Lh4eHoXuy83NlTaYrFixYhGlXvgtP/zwA1OmTKF27doAPH78mNGjRwOwaNEiIP+ovW7duqGlpcWKFSvQ1tZm1qxZANKsJtEJlZ+C/AoMDCQ0NJTVq1fTrFkzPDw82LRpE8+ePcPCwoIePXoAMH36dCpWrCgdwaf5DKH4ysnJITAwkMqVK9OgQYNCefbZZ5+RmZnJrVu3MDMzQ0tLS5oBdenSJVQqFW3atCn07haBB3koyOe3b9/y5s0bnJ2d0dXVZerUqYwZM4bhw4cTEBAg5W1aWhpubm6sXbsWT09P2rZtK9pswn+C+CuXiYINJAGOHz/Orl27cHZ2pm/fvqSkpNC7d29SU1MZMWIE69atw8rKiqpVq9K5c2fCwsKkNeOiYiv+Ck6/Lfhv5cqVWb9+PVWqVOGnn37ixo0bwP+96LKysnjx4gV169Zl165dIq8/Aenp6Vy/fp3KlStz4cIFpk2bxuTJkxk0aBDZ2dmsXbuWO3fuFLpHrVajo6MjltgUYzk5OVSpUqXQJrBVqlTBx8cHExMTzpw5I31eqlQpvvnmG6ZMmcK2bdvYuHFjoWeJTqj8qNVqVCoVUVFRDBkyhGbNmhEZGUlgYCCzZs2iXbt2ZGZmkp6eTq9evVi/fj39+/cv6mQLf0DB7BaFQkGFChXQ0tIiOzubnJwc1Go1lStXplWrVoSGhnLhwgUgfwZUXl4e/v7+nDx5Ury7ZSwwMJBhw4aRlZVFnTp1ADA3N2fevHnEx8fTqVMnxo4dy3fffUdMTAwNGjSgWbNm0pGagvBfoKUWf+2ysnfvXrKystDS0sLGxgaAO3fuMHv2bJKSkggLC8PIyOgXGwyKDQflQXO2QmJiIgqFAh0dHUqWLMmlS5eYMWMGTZo0YdSoUdSrV0+6LzMzE319fUDk9afC1dWV5ORkTp8+zcyZM6XyHh8fj4uLC9999x09e/Ys4lQKf1ZAQACWlpY0b96cvLw8Tpw4wbRp0/j2229ZuHChdF1qaipXrlyhXbt2olzL0MdmqDg6OtKxY0dKlSrFpEmTcHJyYuDAgeTm5rJnzx709fWlmS8gpt3LTXZ2NitWrGDixIls376dmJgYHj58yNdff0337t3JyMhgyZIlZGZmYm1tTenSpTl+/DjJycmEhYWJvJap3Nxc9u3bh6+vL1lZWRw/frxQICklJYXNmzeTnp5OiRIlmDBhAkqlkunTp/Pu3TtWrlyJUqkUgWXhkyeCD8XYoEGDmDBhAtbW1kD+Hg8jR47k2bNnzJ49m8GDBwP5jZt79+4xe/ZsUlJS2LVrF0ZGRkWZdOFP0Gykrl+/nlOnTpGZmYlCoWD+/PnUq1dPCkA0bdqUUaNGUbdu3V99hiBvBfs9tGzZEjc3N0qVKkVKSgrTpk0jMzOTTZs2ic6ojGgGBdPS0pg6dSrXrl3Dz89POh45MjLyowGIjz1DKP4+3KPJ3NwcgLlz5xIREUFmZibTp0+XAouJiYlMmTKFtm3b8v333xdZuoW/h5+fH35+fjg5OZGWlsbu3bvR19dn586d3LhxgxMnTrBv3z7MzMwwMTHBzc0NpVIpyrlMfGxpa3p6OqdPn2bu3Lk0b94cHx8f4OMBxMTERNasWcO+ffvYtm2btJ+XIHzqRPChmMrMzCQoKIghQ4ZIu9VnZ2dz/vx5Vq1ahUqlYvfu3YVeUHfv3mX8+PE0bNgQLy+vokq68BetXLmS4OBgXF1dMTc3x8XFhfT0dIKCgjAxMeHSpUvMmjWLqlWrMnPmTKpWrVrUSRb+RpoBJE9PT44cOYKRkRHly5fn7du3vH//npCQENFIlSkvLy+0tbUZOXIkM2bM4KeffmLNmjU0btwYtVrN8ePHmT59Oq1bt5aOYhPkR7Nj4uPjw+nTp5k6dSotWrQgOzubUaNGERcXx65du9DR0SEnJ4cZM2aQmppKYGCgGP2WuTt37uDk5MTcuXNp1qwZ58+fZ+zYsbi6utKvXz/puvfv30szHEHMcpELzfJ99epV3rx5Q9myZalRowalS5fm4MGDLFmyhGbNmrFixQogvw1f0J5/9eoVR44cITw8nEWLFv1iIEkQPmUi+CADa9eupXLlyvTs2ZPs7GwuX76Mm5sbpUuXZsuWLYU6H0+fPsXMzEx0SGTq9evXTJgwgXHjxtGuXTsiIyNxdnaW1vsXdDZPnTrF7t27WblypVgf+gnSbNgcO3aMe/fukZSURPXq1RkwYAA6OjqikSoTmnkZERHB4sWLWbFiBZaWlmRnZzNp0iRu3rxZKABx8OBBdu3ahb+/vyjfMrds2TL27NnDvHnzqF27tjT74e7duzg6OpKSkoKenh5ly5YlLy+PoKAgEVj8BNy6dYtp06Zx5MgRjh49irOzs7S8JiMjg1OnTtGyZUvKlCkj3SNmLsrP8uXLOXDgAGXLliUtLY3KlSszfvx4GjVqxNGjR1m2bBlNmzb9xebQkL+EUldXl9KlSxdBygWhCKmFYu39+/fq2bNnq2vXrq0+fPiw9Nnp06fV3bt3Vw8aNEidm5v7i/s+9plQ/OTl5RX6971799RWVlbq9PR09enTp9WNGzdWb9++Xa1Wq9Xp6elqPz8/9bt3737zGYK8/FpZ/a18FeVbfiIiItRLlixRe3t7q9VqtTonJ0etVufX52PHjlV/8cUX6hs3bqjVarVapVJJ94nyLV9Xr15Vd+rUSX3t2jW1Wp2f12/evFGfPn1anZGRoVar1eqwsDD1zp071cePH5fKdcHfhiAPHyujN27cUPfp00e9a9cudbNmzdSBgYHSd5cuXVJPnTpV/eDBg38zmcLfLDg4WP3FF1+or169qlar1erVq1erGzVqpD558qRarVars7Ky1AcPHlTXq1dP7eXlVZRJFYRiRQypFHO6uro4OTnx/fffM3nyZA4dOoSuri4tW7bE2dmZ9PR0unfvXug0DECMmMhEwajmlStXAKhVqxZNmjRh2bJlTJw4ERcXFwYOHAjkR8kvXLjAzZs3gf87DUOMjMrHo0ePePfuHZC/vCYuLu5Xy+rH8rUgz0X5Lt7UajV5eXnSv9PT01m0aBEbN27k559/BvKPz1OpVOjq6uLl5UXjxo0ZMGAADx48KDT6Kcq3fKg/mEialJREVlYWTZo04d69e3h7ezNw4EDGjh3L999/T2ZmJr169cLGxoYOHTpIpx6IGU3yoTmzKSQkhMOHDwPQqFEjDA0NmTlzJvb29tJxqe/fv2fDhg1kZmZSvXr1Iku38OcVlPOYmBh69uxJs2bNOHbsGBs3bmT69OnSqTWZmZl07NiRDRs28OOPPxZxqgWh+BCtGhkoVaoU48ePZ/jw4Tg6OkoBCCsrKyZMmEDDhg3FET0y9tNPPzFr1ixu3bpFTk4OJiYmhIaG0qNHD2kjsszMTBYvXgxA69atAXHUntzcuXOHoUOHcujQIebPn8+6devIysr6n/dplu309PR/MonC3+TFixdSgCgsLIy0tDQCAwNp1KgRt27d4tSpU0B+YKEgAOHp6cno0aNFh0SmVCqVVCfHxcUB+R1QAwMDunbtyogRI0hKSmLChAkcP36c69evFzpatYAILMqH+v8fqwn5y2vWrl1LbGwsCQkJALi5udGgQQOCgoKk43LHjh3LixcvpCWTHw4cCcVfwTs5MzOTBg0acPXqVZycnJg2bRq2trbk5uayd+9ezpw5g66uLtbW1lJgURAEEOF1mShVqpQUOZ06dSra2tp8/fXXtGvXjo4dOwJiJ3S5Kl++PDk5OVy5cgVLS0umTp3Ks2fPiIqKwsHBAXNzc65du8a7d+8IDQ2VGixiRFRe6tatS+/evfH09CQrK0va3fq38lKtsQZ49+7dPH78mPHjx2NgYPBvJl34A2JiYujfvz9r1qzhypUrhISEEBISQpUqVfDw8ODHH39ky5Yt6Onp0bJly0IBiKlTpwKiLpcbzTK8Zs0arl+/zpgxY2jRogVeXl5ERkZSt25dmjdvjqGhIRkZGTRu3JhSpUoVccqFv6Kgbt60aRO7d+/G39+f+vXrS99XqlSJ9evX4+7uTlhYGAYGBlSrVg0/Pz+xb4+MfPiOLvh/MzMznJyc0NbWxs3Nje7duwOQkZHBwYMHadWqVaHniDpdEPKJWq+IJScnY2xs/LuuLQhAaGlpMWnSJDZt2lSochMVW/FWMMKhra0tdSrVajVVqlTBzs4OHx8frK2tqVevHitWrGDHjh389NNPxMXF0bRpUyZNmiQaLDJV0JmsU6cOKpUKIyMjHjx4QPXq1QttOKZJM/CwY8cOFixYgJeXlwg8FHNlypRh5MiRTJo0CaVSyYEDB6hQoQLZ2dmYmZnh7e3Njz/+iK+vL1paWlhZWf0i+CTqcvnQHP1eunQpoaGhuLm5UbFiRQDq1KlDnTp1gPwp92/evGHWrFnk5ubSsmXLIku38PfIysri1q1bjB07lvr16/P06VNiYmIICgrC1NSUcePGsXTpUlJTU9HT00OpVALiVAu50Aw8XL58GcgPKpmZmWFvb8+jR4+4cOECTZo0ISUlhczMTGbNmkVGRgZ2dnZFmXRBKLbEaRdFaP78+Zw7d44tW7ZgYmLyu+9LTU1l79690q73QvGXlZWFnp6e9O8XL15QqVIl6d+xsbHMmzePLl26MGTIkF99jhgRlZcPR0ySkpJQKpX4+Phw5MgRhg0bRs+ePX8RgMjJyZEaqcHBwSxbtozFixfTpUuXfzX9wp+zbds2Fi5ciL6+PsuXL6djx46o1Wpyc3NRKpXExcUxceJEABYtWkS9evWKOMXCHxUbG4uFhYX07wsXLjBr1ixWrlxJw4YNycnJIS0tjZiYGGmQYP/+/YSEhJCTk0NgYKA41eITMXHiRGJjY7G3tycoKAhtbW2qVavGqVOnsLCwwM/Pr9D1anGqhey4u7uzb98+0tLSaNy4MV9//TUDBw7k3r17LFy4kOjoaMqXL0+pUqVQKpVs27ZNlG9B+BVi3nYRGjFiBFpaWkyePJn4+PjffZ+hoSGDBw+WRsGF4m327Nl4enpK/46MjKRDhw64ubkREREBgIWFBZaWlvj6+kp5+rG1oOIlJh+agYfr169z8eJF7ty5Q6lSpXB2dqZLly5s2bKFgwcPkpSUBICjoyPPnj0rFHhYvnw5bm5uIvBQjBXE8AvW9LZt25bt27czePBgpk2bxoEDB9DS0pJmPZmbm7N69epCo+KCfEycOJHdu3cX+uzdu3eo1WoaNmxIbGwsPj4+DBgwgAkTJjBq1Cjy8vKoXLky33zzDdu3b0epVJKbmyvq9E/A6NGjMTU1Zf78+VhZWTF58mTmzJnDxIkTUalUZGZmFrpeBB6KP81x2fv373PlyhXWr1/P5s2bqVixImFhYWzevJnatWuzdetWFi1axIQJE3BwcBDlWxD+BzHzoYgUTLl7+fIlo0aNomzZsixdulSaqvlrNDs0iYmJvzplWygecnJyOHXqFO3atZNeRjo6OuzZs4f9+/cTFxdHtWrV+PHHHzExMcHJyYnmzZtjb29f1EkX/iYeHh5SkCk7OxsLCwu8vLzQ19fH3d2dY8eO0bhxY+Lj43n48CGnT59GqVSya9cuFi1axJIlS/j666+L+FcIv0azTn7//j26urpS5+Lnn39m27Zt7Nq1Czc3N7p27QqAr68v3333nTTjTezhIi93796levXq6OrqEh8fj4mJCQ8ePGDKlClA/gyndu3a0bhxY5o2bcq3336Ln58fbdq0kZ4hRkQ/PW/fvqVs2bLSv0eOHImJiQlLliwpwlQJf5RmfZybm8vjx4+lvTsUCgWvXr1i/fr1REdH07VrV0aNGvWLZ4jyLQi/TgQfioBmxXbu3DliY2Nxc3OjXbt2zJ8//1eXYGhO1QsJCeHSpUvMmTMHQ0PDfy3twu9348YNGjduLOXbrl272LdvHz4+PpQqVYpXr17x8uVL3N3dyc7ORqFQoK2tzWeffYanp6fYjOwTsGnTJtauXYufnx+Wlpb4+/uzbNkytmzZgpWVFQB+fn48ffqUnJwcFi1ahI6ODpmZmSxdupQvvviCTp06FfGvEH6NZl2+detWzp07h1qtxsLCAicnJyD/5IOtW7cSFBTE999/z61bt3j16hX79+8XjVMZ0lyrHxgYSGRkJI6OjtSrV4+rV69y9uxZ6tevT4sWLTA2Nubt27eMHTsWZ2dnmjdvXsSpF/4Jmm2zjIwMLl26xLZt23j9+jW7d+9GqVSKpRYytGbNGk6ePImuri4lSpTA399f+i4+Pp5169Zx584dWrduLS2jEwThfxNDLUVA82imGTNmkJqaSvfu3YmOjv7VJRgf23yua9euIvBQTO3cuRNbW1siIiLQ0tIiNzeXnJwcUlNTmT59OmlpaZiamtKkSROCg4OZNGkSjRo14ubNm7x+/ZqSJUsW9U8Q/gb379/HwcEBS0tLjh49ytq1a5k7dy5WVlakpaUBYGdnh6urK+7u7ujo6JCTk4O+vj6zZs0SgYdirqAuX758OevXr6d+/fpYW1uzc+dOKfhgbm7OqFGjmDhxImfOnOGzzz5j7969KBQKccyeDBUEHjIzM2nYsCGPHj3Cz8+Pu3fv0rx5cxwcHOjcuTMlS5bk7du3zJw5E21tbZo0aVLEKRf+KZpBhQcPHnDu3DlKlixJaGioNONRBB6KP836OCgoiI0bN/Lll19SokQJrl27hoeHh/S9iYkJY8eOpXLlyrx+/Vocdy8If4CY+VBE7t69y8iRI3F3d6dt27bSZ/b29piamuLh4fHRKbli8zl5ePLkCVu2bGHfvn0sWrSILl26kJ2dzcGDB9m+fTvlypVj2bJlvwgy3Lx5kwYNGkgdEzEVWz4+HNnKycmhT58+DBkyhKpVqzJ27FicnJwYOHAgeXl5rFmzBgsLC7p16/arzxCKv6NHj+Lp6cmSJUto3Lgxx48fx9HRkdzcXFq3bo2vr690bUZGBvr6+lJAUmwYLB8REREYGxvTvHlz3N3dycnJYdasWdy4cYNp06ZRr149Ro0ahaWlJbm5uezdu5c9e/aQmZkprQEXU7Hl5WPv4P9VR+fm5vL69WtMTU1FOZeps2fP8vz5c8qXL0+HDh1ITExk+/btHDp0iE6dOjF58mTp2sTERIyNjQudYiYIwm8TPZsikp2dDUD16tWB/BdanTp1WLp0KdHR0SxatIjnz58DFAo8iM3n5KFq1ar88MMP2NjYMGPGDE6fPo2uri7dunXD1taWN2/e4OTkRHp6OvB/fw+NGjVCoVCQl5cnAg8yolKppEZHQkIC2dnZKJVKunfvzoEDBxgzZgwzZsxg4MCBAKSkpBAVFUVCQkKh54iGi/xkZWXRp08fGjduzMmTJ3FxcWHatGn4+Phw+vRpnJ2dpWsNDAzQ0tJCpVKJDomMpKamcvDgQUaPHo2joyOBgYH07dsXgMaNG7N06VJu375NQEAA0dHR6OjoUKZMGTp06EBQUJDYfE6GNAMP27Ztk06s+F91tI6ODhUrVpSuE3W6vNy5c4dx48axcOFC6bMyZcowYMAAunXrRkREBF5eXoW+09bWLtQGEATht4nezb/gY5NLqlevjkql4uDBg8D/vaDMzc2pWLEiR48eZf369dL1e/fuxc3NjUWLFonN54oxzWl758+fR0tLi/T0dCZNmkRERAS6urp0796dgQMH8vbtW5ydnUlNTUVXV7fQc0QjVT40G6ne3t4sXLiQ+/fvA/kdk9evX1O/fn0aNmwIwKtXr5g+fTopKSkMHTq0yNIt/HEfq8u7d+/ON998w7t37/D29mbkyJEMHjyYGjVqUKlSJcLDw1m8eHGhe0RgUV4MDQ2ZPn06ZcuW5dChQ8ydO5e6deuSk5NDXl4eTZo0kQIQGzZsIDo6mvbt2zNixAh0dHTIy8sTwSaZKSij7u7u+Pn5kZWVxatXr37zHs36ITw8nFevXol3eTH3YZ1uamrKzJkzMTQ0lDaKBihfvjwDBgyge/fubN++nR07dhS6T9TpgvD7ibfhP0yzY5KUlISOjg5qtRojIyNsbW05dOgQpUuXxsbGBgB9fX0aNWrEihUrqFmzJpA/je/FixesXr2adu3aFdlvEf43zf089u7dy7hx47C3t+fy5cs4Ozvj5ubG119/zbfffouWlhY+Pj6sX7+eqVOnFnHKhT9Lc93/nj17mD59OqampgC0bNmSqVOn4unpiYODAwqFAgMDAyB/TWnBLBfRQC3+PjxpqESJEujq6qJUKjE3N+fu3bskJydL+3To6OhgZWXFoEGDqF+/flEmXfiTNPNcrVZTs2ZNqlatytKlSzEzM8PKykraz6cgADFy5Eg+//xzGjRoID1HlG95OnjwIHv37mXt2rVYWlr+5rWaU+537tyJq6sr69evl94FQvHzYfnOycmhdOnS9OnTB8hvxxkYGDBr1iwAypUrR58+fTAxMeG7774rsnQLgtyJ4MM/SK1WSxXbmjVruHLlCnFxcTRq1Ig+ffowevRokpKS2LBhAzdu3KBu3bocOXKE9PR0atWqhba2Njk5OSiVSuzs7EQDRiZevnzJqVOnmDlzpnS03sOHD9m0aRMzZsxAV1eXr776im7dulG6dGm+/PLLIk6x8FedP3+e8PBw1qxZg6WlJXl5ebx+/ZoXL17Qpk0bGjRoQFRUFI8ePaJ69ep89dVXKBQKsR5YJjTrci8vLy5cuEBCQgJffvklHTt2pF27dpQtW5bk5GQ2bdpE//79pam5DRs2REtLSwSZZEazY3Lx4kVMTU3x8vIiMTERDw8PJkyYwOrVq6VTayB/2Vx4eDiVK1cuqmQLf6NHjx7RvHlzqU7/2F5MBdPtCwIPBftyicGi4k0zHwMCArh37x63b9/G1tYWKysrbG1t0dLSYsWKFWhpaTFz5kwgf6PJguCEqNMF4c8R84T+QQUvo5UrV7J582YGDRrE7Nmzef36NZMmTUJbWxs7OztGjx7NrVu3OHToECVLlmTHjh3SGjKlUgmIkRM5ycvL49mzZ+Tl5Umf1ahRg8GDB1O6dGmmTp3KgQMH0NXVpV27dtLotyAfH07VfP/+Paamppibm3Pnzh1WrVrFwIEDmTRpEuPGjSM7O5tOnToxZswYOnXqJOW5CDwUf5preQMDA9m+fTt9+/alV69eJCcn4+rqyr59+yhfvjxz5szh+PHjTJs2jfT0dNatWyft8SDqcPnQDDZ5enri4uLC7du3UalUVKxYkfHjx9OmTRsmTZrExYsXAZgwYQJeXl5UqVJF1OmfiKSkJJ49e4ZarUahUEh/F9nZ2Zw+fRrIn/n2YeDBzc2Nzp07F2XShf+hoHx7eHjg5+dHw4YN6d69O5s2bWL58uWkp6fTrVs3pkyZwsGDBwvt3VNA1OmC8OeIlu8/7MWLF1y8eJGVK1dibW3NmTNniImJwcnJiZIlS1KyZEnMzc3p168f2dnZlChRAkCMiMpYxYoV+eKLL7h06RItW7akXLlyANStW5e6devy4MEDQkND+fbbb6WpmuIlJh8fTr8vU6YMZcuWJTo6GicnJ27evEnHjh2xt7fHwMCAJUuW8OrVK8zNzQs9R+S5PBTk9Z07d7hz5w4zZ86kZ8+eADx+/JigoCBWr15N9erV6dGjB19++SWvX7+mRo0aaGtri7pchgo6k97e3uzevZsVK1ZQv3599PX1gfw9mxwdHdHW1mbEiBHUrVuXtLQ0PD09pWeI8i0fv3ZKQc2aNTl58iSnTp3C2tpaap9lZmaydu1aMjMzpT24Nm/ejI+Pj7S0Uij+bt26RUREBOvWraNRo0ZcvXqV1atX8+OPP0onkfXq1YuMjAzOnz8vTiAThL+JaBH9zT6snN6/f8+zZ8+oWbMmkZGRODo64uTkxIABA8jKyiIsLIwvvviCKlWqSC82tVotGqsyplAoaN68Obt27SI8PJzevXtTpkwZ0tLSUKvVODo6SqMiYndkedEs3z4+Pty9excHBwcsLS3ZuHEjV69excbGBisrK4yNjUlPT8fIyIj3798XccqFv+LChQuMHz9eKtsFqlWrRr9+/fjpp5+4desW9evXp3Tp0pQuXRpAnGohY2/evOHUqVNMmzYNKysr3rx5Q2xsLIcPH6ZmzZp069ZNGuGOj4/H1tYWHR0dEWySGc06/cmTJ+jo6KBQKKhYsSK2trbs3buXZcuWYWdnR7NmzcjOzsbd3R2VSiXt7/Ly5Ut2796Nq6urCDzISF5eHiVKlKBRo0YcPHiQmTNnMnPmTCngcOXKFaytrbG1tWX48OHSLDYRgBCEv0a8If9mBZXS1atXadiwIQYGBlhYWBAUFMTmzZtxcnKSjtt78uQJFy5coEaNGlSpUkV6huiQylfBCMrIkSNJTExkz549REZGUrNmTW7fvk1eXh4dO3YULzGZ0txQNDw8HEdHR2mEpFWrVlhZWUnTctPS0pg8eTJ6enpYW1sXZbKFv8ja2poxY8bg4+PD2bNnsba2xsTEBIBatWphaGjIrVu3pLq9gCjf8pWbm0tqairv378nMjKSw4cP8+TJE1JTUzlz5gxv375l1KhRhabXi6VU8qL5Dl69ejUnTpzg9evXVK9ene+++44+ffqwfft2xo8fj7+/Py4uLtSqVYsSJUqwbds2aQ+IcuXKERAQIM1yFOQhKyuL9+/fc/DgQVxdXZk6dapUh1+7do19+/bx+eefU7VqVaDwcixBEP488Zb8Bxw+fJilS5cSGRmJiYkJVatWxcfHh5EjR0oVW0ZGBp6enqhUKpo1a1bEKRb+LppBBUdHR+rXr8+tW7d4+PAhdevWZdasWeKEA5k7e/Zsoc0lAZKTk3n16hVlypShQoUK+Pr6cu7cOXJycsSpFjJXkG/jxo0jLy+PHTt2sHv3bvr160eFChVIT0/n3bt3NG7cuKiTKvxJHwsEm5qaYm1tjbe3N8nJyQwdOpRevXrRunVrabPoDwcKRPmWl4I8X7VqFUFBQSxZsoTSpUsTEBCAq6srmZmZDB48mDVr1hAbG0tcXBzGxsZYWloWWlKlra0tAg8yZG1tTcWKFZkyZQqzZ89m8ODBQP6M5a1bt1KiRAkxMCgI/wARfPgbfLhesHr16uTk5PD8+XMqV67MvHnzSEpKIjQ0lOzsbBQKBXfu3CE5OZnQ0FBpc0kRUZWfj3UoNfOza9eudO3atdBUXDEtV97evXuHqakplpaW3L59m+PHj7Nv3z4yMjJo1aoVLi4utG7dGrVazbhx48RUbJnT3OHe3t6enJwctmzZwsmTJ2nQoAHx8fHk5OTw448/FnVShT9B8927d+9e4uPjiY+PZ8iQIcyZM4dBgwYBSEdfA+Tk5KCnp1ck6RX+XteuXePMmTOsXr2a5s2bc+bMGU6fPk2rVq1Yvnw5SqWS/v37Y2FhgYWFhXSfWFIlbwXt9smTJ/Pu3Tu2bNmCkZERKSkpnDhxgvj4ePbs2SPa54LwD9BSf7htu/CHfKzzGR8fT9euXQkICKBJkybS515eXsTGxpKXl0eNGjWYMGGC6JjIyKNHjyhXrhxGRkasXLmSvn37/mITwY/RDE792sZWQvH0sfyKiorCxsaG9u3bc/PmTdq1a0erVq1QKBQsXLgQX19fGjVqJF0vZjx8GjQboGvXrsXLy4svv/ySr776ShoxKzgaWZCfpUuXsnfvXtq2bcuTJ0949eoVw4cPZ8iQISgUCtLS0nj+/DkeHh68fPmSsLAw8d7+BLx+/ZqgoCDGjRvH5cuXcXJyYuLEiXTo0AF7e3tu3bqFs7MzI0aMKOqkCv+AvLw8Hj16hLe3N/fu3aNs2bJ8/vnnzJs3D6VSKdrngvAPECXqT7p8+TJWVlZSp2Lz5s1cuHCBVq1aoa+vT4MGDXjy5Am1a9fGwMAAgEmTJgGFG7Fijag83Llzh9GjRzNx4kTu3bvH9u3b+fbbb//nfZqd17S0NEqVKvVPJ1X4m2iW04yMDPT19cnNzaVhw4b4+/tz4sQJevbsSatWrShTpgzp6els3LiRzMzMQs8RgYdPg+YI2Lhx48jNzWX//v1kZWVJZVsEHuTpyJEjHDx4kA0bNlCnTh3Onz/P999/T6VKlaTye+nSJXx8fDA2NiY0NBQdHR0RWJSZj41gly9fHjs7O5RKJWFhYfTo0YO+ffuio6NDtWrVyMnJ4ezZs9KGg8KnRaFQULNmTby8vEhMTMTIyEjMUhWEf5goVX9CYGAg+/fvZ/v27eTl5aFSqXj+/DnGxsacOXOGx48fk5CQwP3799mxYweWlpaUK1eOChUq0KlTp0IdUNFwkYe6devSu3dvPD09ycrKYtu2bdSsWfM3p+NpBh52797N48ePGT9+vBSMEoovzXzdtGkTly9fJiUlhdatW9OvXz+++OILWrRoga6uLjk5OaSlpeHg4ICuri5WVlZFnHrhj/hYGf61GUqaAYgJEyaQm5tLUFAQmZmZDBo0iDJlyvxbyRb+Rm/evKFhw4bUqVOHffv2MXfuXFxdXencuTMZGRm8ffuWjh07YmBgIA06iI6JvGiW82vXrpGamkqjRo0wNDREX1+ftLQ0bt++TYcOHdDR0SE9PZ2MjAzGjh1L586d0dLSEjMXZeKP1Oma3xkbG0v3iVPnBOGfI0rWH+Tj40Pjxo3Ztm0bWlpaPH36FAsLC1xcXID8Si85OZlZs2bx6tUrevfuzeXLlzlz5gxVq1aVzocX5KNgdKtOnTqoVCqMjIx48OAB1atX/9XOhuaLbseOHSxYsAAvLy8ReJCJggaIh4cHISEhjBs3jsTERCIjI7l16xbz5s3D1NSUrKwsgoODOXr0KNnZ2QQFBYk1ojKimU/btm0jMzMTOzu73+xgaGtrS8srJk+ejFqt5sCBAwwZMuTfSrbwN0tISEBHR4dbt24xZ84cpk6dKu31cODAAZ4/f8748eOlU2vEjEX5KSjn7u7uhIeHk52dTdmyZRk9ejRdu3bF0NCQDh06sH//frKzs4mOjiYrK0s6nUoEHuThz9TpBfmr+c5WqVRicFAQ/iGidfwHDBs2jDNnzmBtbY1CoeDMmTN8++23HD16FMjvcKpUKsqUKUOHDh1Qq9UMGDAADw8PDh06xJo1a6SOiVD8FeRTwQvoiy++4MSJE3Tv3h0/Pz/27t1LYmLiL+7LycmRXnTBwcEsXboUT09POnbs+O8lXvjLDh48SEREBH5+fgwfPpymTZty//59nj59irOzM/Hx8ejp6WFhYUHLli0JDg6W1oiKwIM8aHZI/Pz8yMrK4tWrV795j1qtlpZXHDp0iB9++IGQkBCMjY3/6eQKf6M1a9bg4+MDQPfu3bl48SL9+/fH1dVVCjy8f/+eY8eOkZycXGhJjeiUyIfmtmYXLlzg0qVLrFixgv3799O4cWO2bt1KaGgoWVlZ2Nra0r17d6Kjo6lUqRI7duyQTioSgQd5+LN1ekH+hoeH8+rVK1HGBeEfJEL3v9OjR49ISUnB1dUVbW1tYmJiqFChAgMGDGD27NloaWnRuXNnqcL67LPPeP78OcnJyVKjVPMYRqF408yn69ev8/79e1QqFa1bt8bZ2Rm1Ws2WLVvQ0dHh22+/pXTp0jg6OjJ58mTMzMyA/MDD8uXLcXNzo0uXLkX5c4Q/wcDAgDZt2tCwYUMiIyOZMWMG06dPp2TJkri5uTF79mzmzJlDmzZtaNOmDSBGROXo4MGD7N27l7Vr10pHp/4azUbqzp07cXV1Zf369bRr1+7fSKrwN9LR0WHv3r306NGDqlWrMnr0aLZt28bjx4+Jj4/n2bNnrFu3jvj4eNasWSNGv2WqIL/2799PdHQ0X375JS1btgTyO6iurq7s2rULbW1tbGxsmDp1KtnZ2ejq6gJi3b8c/R11uqmp6b+RVEH4TxI16u+kVCp58eIFFy5cIDQ0lEuXLrFv3z7s7OxQKBRMnz4dgM6dOwPQtGlTdHV1efbsWaERMRF4kAfNafcREREAZGdnY2FhgZeXF9OnT0dLS4tNmzZx48YN4uPjefjwIUuWLAFg165duLu7s2TJEr7++usi+x3Cn9e+fXsaNmxIWloavr6+fP/99wwePJj09HQ2bNhAVFQUGzZsYM6cOdI9YrREfh49ekTz5s2xtLSUllh9GCRWqVRoaWkVmtG0bNkyVq9eLQIPMtWyZUv27dtHTEwMVapU4euvv0ZbWxs/Pz+Cg4MxMTGhQoUK7N69W2wuKUMFncqCmQ+BgYFcv36d9u3bF+pwzp8/nzlz5rBr1y7S0tIYOnSotC+XWPcvT6JOF4TiTfSEfwe1Wo25uTkrV67Ex8eHQ4cOsWTJEvT19TEzM2PkyJF89913TJ8+Xeqo5ubm0rRpU+rWrVvEqRf+rE2bNrFz507c3d05dOgQgwYN4vTp00RFRQHg7OzMgAED0NPTo1KlSpw5cwalUklmZiYxMTEsW7ZMBB5krmzZstIoaMGxuUlJSdSsWZN58+Yxe/bsIk6h8FclJSXx7Nkz1Go1CoVCWvubnZ3N6dOngfxg5IeNVDc3NynYLBRfmtPuc3JypP9v1KgRTZo0wdPTk8zMTMzMzBg+fDhHjhxh3bp1eHt74+vrKy2lEoEH+dAMLrx58wYtLS0CAwPp1q0b9+/fZ9++fbx//166ft68eVhYWPDkyRNKliwpfS5muciTqNMFoXgTId3foaCCSkhIQK1Wk5GRweXLl6lduzaGhoaYm5szcuRItLS0mDlzJhkZGfTs2ZNVq1YBiBETmbp//z4ODg5YWlpy9OhR1q5dy9y5c7GyspKO1rOzsys0RTMnJwd9fX1mzZol8vwTYWBgQKVKlQgJCUGlUuHn54dSqaRTp05ic0kZ+bUp8zVr1uTkyZOcOnUKa2trSpQoAUBmZiZr164lMzNTCiJu3rwZHx8f3NzcRGBRJgryfPPmzaSmptKhQwfq1asHgJ2dHTExMezdu5cBAwagUqkwNDSUAo2QP0IqRr/lQ7M+3rt3LydOnMDOzo569eqxbNkyfvzxR/z9/VEoFHTu3Fl6d3t6ekqj4WJ5jTyIOl0Q5Em0mP+A+vXrc+nSJby8vFi1ahX+/v6kpaUBYG5uzogRI2jTpg179uwB/m/ERXRCiz/N0THIDyJERUWhra3NpUuXcHZ2xtHREVtbW/Ly8ti4cSMHDx4EkBovmhvRiTz/dJiamtKjRw8ePXrE9OnTyc7OZvXq1SLwICMFnQqAJ0+e8OzZM16+fAmAra0tJiYmLFu2jEOHDhEXF0dsbCzTpk1DpVLRqVMnAF6+fMnu3btxdXUVjVQZevLkCVevXmX48OF4e3tz/fp1zM3NqVmzJsePHwf4aJBBlG/50KyPb926RWRkJBcvXmTr1q3cu3cPhUKBj48Ppqam+Pn5ERERUWgGREGdLgIPxZ+o0wVBvrTUH/a6hN9lz549TJ8+nbFjxzJ69GhpjWBCQgLlypUTDRYZ0WywJCQkYGxsjK6uLuvXr+fcuXPcvHmTmTNn0r9/fwASExOZPn06rVu3ZsSIEUWYcuGfprluOCkpiaSkJKpVq4a2trbYiEwmNMv36tWrOXHiBK9fv6Z69ep899139OnTB4Dx48dLjdRatWpRokQJtm3bhlKpRKVSkZeXR0pKCuXKlSvKnyP8Dpp5rllOExMTOXHiBJs3b0ZLS4tmzZrRvn17xo4dy9KlS+nevXtRJlv4kz4cAXdzc+Ps2bNYWVmRkJDAhQsX6Nq1K0OHDqVevXrk5eVhb29PVFQUy5Ytk45QFeRB1OmCIG8i+PAX7NmzBxcXF8aOHcv3338vBSAAMSIqE5r55O3tzf379xkzZgwNGjTg0qVLzJ07l9KlSzN79mzq1q3Lq1evcHV1JSUlhe3bt4sZDjL0a1M1/8jnYimV/KxatYqgoCCWLFlC6dKlCQgIICIighkzZjB48GAAYmNjiYuLw9jYGEtLSxFkkiHN8rp9+3YePXqEQqHAzs6O0qVLo1AoePbsGQ8fPsTDwwOABw8eMGLECGnjaEG+Ll68iIODA76+vtJJBzt27GDr1q00aNCAkSNHUrt2bfLy8li+fDlTp04VdblMiTpdEORJlL6/oFevXmhpaeHs7EzFihWxsbGRvhOBB3koyKfly5dLs1kKjlhq2bIlU6dOxdPTEwcHBxQKBQYGBgAEBQVJ53+Lhot8aAabnj17RlpaGqamphgbG6OlpfXR/PxwDXBmZib6+vr/etqFP+/atWucOXOG1atX07x5c86cOcPp06dp1aoVy5cvR6lU0r9/fywsLLCwsJDuE+v95eXDYLK/vz8dOnTg9OnTXLx4EWdnZ1q0aIGZmRlmZma0b9+e8PBwHj16xIQJE4o49cIf5erqyhdffFFoynzBCRUF72qAAQMGkJuby8KFC9HS0pJmQDg7OwMimCxHok4XBPkSJfA3/J4X0nfffUfp0qVp3br1v5Qq4e92/vx5wsPDWbNmjXQ00+vXr3nx4gVt2rShQYMGREVF8ejRI6pXr85XX32FQqEQ0XOZKdjxGmDFihWcPXuWx48fS52RX9skVDPwEBYWxt27d5kyZYq0iZVQ/Jmbm9OmTRsaNWrEuXPnmD59Os7OznTo0AF7e3vmzJlDRkbGL5ZRiSCyvBTk14sXL3jw4AGbNm2iUaNGqFQqBg4ciLu7O87OzlhZWUl193fffSfdL+p0+Xj58iVly5alQ4cOv/guNzeXpKQkAGlDaBsbGzZt2kR0dDRhYWGYmppSpkwZQOzRJEeiThcE+RKl8P979OgR7969A2DlypXExcX9rheSWq2mbdu26OjokJub+08nU/gbfLjS6P3795iammJubs6dO3dYtWoVAwcOZNKkSYwbN47s7Gw6derEmDFj6NSpkzTjQTRS5aUggLB+/Xp27NjB1KlTOX78OKVKlSI8PFw6QlWTZuAhODgYV1dXWrVqJQIPxZhKpfrFZ+XLl8fOzg6lUklYWBg9evSgb9++lC9fnmrVqlG3bl3Onj37i7pBKP727dtHSkqK9O8tW7YwePBgaf8lyO9wbN26FX19fZYuXcqVK1c++r4Wdbp8VKxYkUmTJqFUKgkNDWXz5s0AWFtb06xZM6ZNm0ZcXJy0IXRSUhJNmzbl66+/Jjw8nNjY2KJMvvAHiDpdED4tIvgA3Llzh6FDh3Lo0CHmz5/PunXryMrK+p/3ae62m5aWJhouMqCZZ4mJiQCULVuW6OhonJycGD58OAkJCdjb2+Pi4sLjx4959erVL54jRkrko6DxoVarSU1N5dKlS8yePRtra2tiYmKIjIzE2dkZS0tLsrOzpfs0/1aCg4NZvnw5y5cv56uvviqS3yH8b5rT7q9du8apU6dITk4mLy8PfX190tLSuH37Njo6Oujo6JCenk5GRgZjx47Fz89PWmIjyENwcDB79uzB0NBQ+qxHjx6UKFGC69ev8/PPPwP5ZV9XV5etW7dSsmRJpk2bxu3bt4sq2cLfKDk5mRMnTrBv3z6CgoIAcHd3x9zcnP79+7NlyxZ2797NjBkzePPmDfb29pQuXZrIyMgiTrnwe4g6XRA+PaK3DNStW5fevXvj6elJVlYW27Zto2bNmr+5aaTmFO7du3fz+PFjxo8fX2idoVC8aOanj48Pd+/excHBAUtLSzZu3MjVq1exsbHBysoKY2Nj0tPTMTIyKnQUlyAvmnn+7t07SpQoQUZGBtWrVycyMhJHR0ecnJywsbEhOzub8PBwqlWrRvPmzaX7CgIPixYtEsdxFXMFeebu7k54eDjZ2dmULVuW0aNH07VrVwwNDenQoQP79+8nOzub6OhosrKy6Nix4y/29hCKP1tbW2xsbNDW1ub69euYmppSsWJFdu7cSe/evfHw8GDRokXUrl0bAKVSycaNG1m4cCH169cv4tQLf8aH7TJjY2McHBwICAggPDwchUIhBR3mzJlDaGgo79+/p3Llyvj4+ABgaGhItWrViuonCH+AqNMF4dPzn5/5kJeXB0CdOnVQqVQYGRnx4MEDEhMTfzPwUFCZ7dixgzlz5tCkSRMReCjmCvJz2bJlBAUF0aFDB0qWLAlAq1atGD9+PF26dMHAwIC0tDQcHBzQ09MTx3DJWEGeL1iwgCVLlpCcnAzk7/kwY8YMpk2bxsCBAwF49eoVhw8f5vXr19L9oaGhLFq0CDc3NxF4KMY0R7YuXLjApUuXWLFiBfv376dx48Zs3bqV0NBQsrKysLW1pXv37kRHR1OpUiV27NghLaUSjVT5KJiKra2tzcWLF/n+++/Zt28f8fHxGBkZsXv3bhITE3F1deXevXvSfbq6usyfP1/Kc0E+NAMPT58+5e3bt2RmZmJhYcHIkSOpVq0au3fvJjg4GC0tLebPn8+GDRsICQlhw4YNlChRAi8vLxISEmjVqlUR/xrht4g6XRA+Xf/ZozY/jJ4nJSWhVCrx8fHhyJEjDBs2jJ49e0obEhXIyclBqVQC+SOiy5YtY/HixXTp0uVfTb/w55w9e5bp06dLm0tC/rTNV69eUaZMGSpUqIC3tzfnzp0jJyeHoKAglEql2A1bxuLi4hg3bhxz586lefPmXLlyhbFjx9K0aVP8/PzIy8sjMzOTKVOmkJmZyaZNm1AoFKSlpbFixQq++OKLj25qJhQ/+/fvJzo6Gl1dXaZMmSJ97urqyvXr1+nfvz82Njbo6elJG9GB2GjwU7B8+XIOHz6Mra0tPXr0wMTEhOTkZPr06YOJiQmzZs0Ssx0+EStWrJCW21SvXh1XV1fKlSvHgwcPCAgI4PHjx/Tq1QtbW1vpntjYWPz9/Tl58iQbNmygXr16RfgLhN9L1OmC8On5TwYfNAMP169f5/3796hUKunEiiVLlnD06FG+//57vv32W0qXLo2joyOTJ0/GzMwMEFOx5ergwYMEBASwa9cubt++zfHjx9m3bx8ZGRm0atUKFxcXnjx5wrlz5xg3bpy0kah4icnTunXrePLkCTo6OsydOxeFQoGWlhYhISHMnj2bli1bAvkzoN69e8fu3btRKpVSnmdlZaGnp1fEv0L4NQWz0ApeY4MGDeL69eu0b9+etWvXFhr1mjNnDjdu3KBr164MHTqUUqVKFXqGIE+ageEVK1awd+9eBg8eXCgA0aZNG3r37s38+fOLOLXCX3Xq1Cnmz5/PrFmzePDgAWfPnuXNmzds3ryZ8uXL8/DhQwICArh69SrOzs507NgRyN/j6fr169SoUYPPP/+8iH+F8GtEnS4In77/ZPChgIeHBxEREUD+cUwWFhZ4eXmhr6+Pu7s7x44do3HjxsTHx/Pw4UNOnz6NUqlk165dLFq0iCVLlojAQzH2sRdQVFQUNjY2tG/fnps3b9KuXTtatWqFQqFg4cKF+Pr60qhRI+l6MeNBvnJzc/Hx8WHt2rVYWloSHBxcaLZTdHQ0Bw8eRK1WY2ZmxoABA0SwSUY0y/fr168pX748KpWKqVOncuPGDRwcHPj6668LnUwyZcoUlEolS5YsEY3TT4jmgEJBAGLIkCF0794dExMT0tLS0NfXF3W5DH04S/XkyZM8fPiQ0aNHA/mbEHp4eJCYmMiWLVsoX748d+/e5eTJk9jZ2Yk8lxFRpwvCf8N/NviwadMm1q5di5+fH5aWlvj7+7Ns2TK2bNmClZUVAH5+fjx9+pScnBwWLVqEjo4OmZmZLF26lC+++IJOnToV8a8Qfo1mgyUjIwN9fX1yc3NRKpWcO3eOEydO0LRpU1q1akWZMmVIT09n6NChODk5ibWgMvWxYFNKSgphYWG4u7szY8YMhg0bBvx6UEkEm+RBs3zv3buXEydOYGdnR7169cjLy+PHH3/k5cuXjBkzhs6dO0tTcTXvFaNjn5YPAxD79+/nu+++Y8iQIdLySVG+5UWzjG7dupWXL18SExND/fr1cXJykq65fv06np6eJCcn4+/vj4mJifQMkefyIOp0Qfjv+M8GH1xcXGjYsCEDBw7k6NGjuLi4MHXqVGxtbUlLS5Omb2muISvY70G8zIo3zZfYpk2buHz5MikpKbRu3Zp+/fphYmIi5WtOTg7v37/HwcGBtLQ0tm/f/qsbjQrF14fBJrVaLW0mmpaWxtatW/Hy8mLevHkMGDAA+L8NrURjRV408/rWrVsEBARw6dIl2rdvz4gRI6hduzZ5eXmMHz+e+Ph4xowZQ8eOHQuNlv3WSUaCfGnm64IFC0hISGDVqlWijMuQZl6uXr2aLVu20KBBAxISEkhJSSEoKAhzc3Pp+hs3buDi4kLdunXx8PAQHVEZEXW6IPy3/CeCDx++hHJycujTpw9DhgyhatWqjB07FicnJwYOHEheXh5r1qzBwsKCbt26/eozhOLPw8ODkJAQxo0bR2JiImfPnqVcuXLMmzcPU1NTsrKyCA4O5ujRo2RnZ0ubS4qXmLxo5ldAQAAnT54kKysLCwsLFi9eDEBWVhYbN25k1apVzJs3j/79+xdlkoU/4cM62M3NjbNnz2JlZUVCQgIXLlyQ1v4WjJbZ29sTFRXFsmXLxKk1MvWx+vi33sea12uuHxfvb3mKj4/Hx8cHGxsbGjRowKNHj5g7dy7Pnz8nMDCQihUrAvl5/eDBAywsLMTgkEyIOl0Q/ps++R6WSqWSKreEhASys7NRKpV0796dAwcOMGbMGGbMmCEdt5eSkkJUVBQJCQmFniMaLvJy8OBBIiIi8PPzY/jw4TRt2pT79+/z9OlTnJ2diY+PR09PDwsLC1q2bElwcLC00aAIPMhLQX55enoSEBBAu3btGDVqFIcPH2bixIlSXo8cORIHBwdcXV2lvV4E+dCsgy9evMjevXtZsmQJc+fOZc2aNUyfPp2oqCi2bNnCvXv3UCgUeHt706NHD2kpnSAvmoGEbdu24efnB/z2+1hbW5ucnJxC1xUcyykUf5p5dfz4cdq1a8dPP/2EUqlES0sLCwsL3NzcqFy5MoMHD+bVq1dAfl7XqlVLHKEqI6JOF4T/pk+6l6XZcPH29mbhwoXcv38fgMaNG/P69Wvq169Pw4YNAXj16hXTp08nJSWFoUOHFlm6hb/OwMCANm3a0LBhQyIjI3FycmL69OmMHTuWO3fuMHv2bJ4/f06bNm2YNGkSOjo65OXliY0GZerUqVMcP36clStXMmrUKAwMDAA4d+4cDg4OUgBi2LBhLF68mPbt2xdtgoXfzdXVlSNHjhT6TK1Wo6OjI+UzwIABAxg4cCDh4eFs2rSJ27dvo1AocHZ2Fh0SmSp4f7u7u+Pn50dWVpbU2fw1arVaOg47PDycV69eiZFwGSnI88DAQGrVqkWPHj2IjY0lPj5eusbc3Bw3NzfMzMzo3Lkzb9++LfQMkd/Fm6jTBeG/7ZMOPhS8xJYvX05wcDBdunTB1NQUgJYtWzJ16lRSUlJwcHCgW7du2Nvbk5iYyLZt20TFJnPt27fnhx9+IC0tDV9fX77//nsGDx5M586dqVChAlFRUWzYsKHQPaLBIl9qtRobGxuaN2/O6dOnmTp1KjNmzCA4OJi7d++ycOFCXr58ib6+Pr1795ZOtRCKt5cvX1K2bFk6dOjwi+9yc3NJSkoC8vfmAbCxscHMzIzo6GjCwsJITEyUrhflW54OHjzI3r17Wb16NRMmTJDe4R+jOY17586dODs7c+/evX8rqcJfoLkCODAwEHd3d5KTk5k3bx5t27Zl1qxZxMTESNeYm5szf/58bGxsMDY2LoIUC3+GqNMFQfjk93w4f/48zs7O+Pj4YGlpSV5eHomJibx48YK6deuSlJREVFQUjx49onr16nz11VcoFApx3N4nIjY2luHDh+Pp6YmVlRXPnj3Dw8ODb775hk6dOoklFjL0sTXgeXl5vHr1CmNjY+zs7GjdujX29va8ffuW4cOH8/DhQ/r378/8+fOLKNXCXxUaGkpqairDhw8H4McffyQmJoatW7dKG8/Fx8fj6emJubk5W7ZswcfHhxYtWhRlsoW/yNvbmwcPHuDl5SVt9vxhHVCwvLIg8BAcHMyyZctYsmQJnTt3LqqkC3/ClStXOHr0KFZWVlLeZWZmYm9vz8OHD1m7di316tX7xX1iI3D5EXW6IPw3fXK96w83sHn//j2mpqaYm5tz584dDh8+zIEDB8jNzcXCwoK5c+f+4shMMf3+02FgYEClSpUICQlBpVLh5+eHUqmUAg9ic0l50QwKxsbGYmRkhK6uLp999hmVK1cmLi6ON2/e0Lx5cwCUSiWWlpasXLmSatWqFWXShb8gOTmZEydO8PLlS3R1dRk4cCDu7u6MGzeO/v37M27cOEqWLMmBAwfQ0tLC3d2dffv2ERkZKRqqMpeUlMSzZ89Qq9UoFArUajXa2tpkZ2dz8eJF2rZtW6gOLwg8uLm5icCDzJw9exZ3d3eSkpLo2rUrkF/n6+vr4+3tzYQJE7C3t2fFihU0atSo0L0i8CAvok4XhP+uT6rXpbm5ZMHUrLJlyxIdHY2TkxPDhw8nISEBe3t7XFxcePz48UfXj4qX2KfD1NSUHj168OjRI6ZPn052djarV68WgQeZ8fX1JSoqSgo8eHh4MG7cOHr37o27uzvXr18H8st7RkYG27dvJyIigkmTJkmzmsRSKvn4cINAY2NjHBwcqF27NuHh4ezcuZNSpUqxZcsWOnfuTGhoKBs2bEBbW5s1a9YAYGhoKAJOMvJrkzBr1qxJcnIyp06d4v3799I7PjMzk7Vr1xZaO75582Y8PT1xc3Pj66+//lfSLfx9atasiZWVFZmZmezfvx9A2o9JX1+f1atXU7p0aXx9fYs4pcIfJep0QRAKfDLLLjQ7kj4+Pty9excHBwcsLCy4ePEiV69epVatWlhZWWFsbEx6ejqDBw9m6tSpfPnll0WceuGfoHnMWlJSEklJSVSrVg1tbW2xrEZGfvrpJ+bNm4e5uTlTpkzh9evXODs7s2DBAu7du8fVq1dJTU1lwoQJWFtbc/nyZZycnDA0NMTY2JiAgABxhKqMaObT06dPKVWqFAYGBujr6/Pw4UP8/f159OgRvXv3xtbWFoA3b96gp6dHqVKlAPDy8mL37t1s27aNKlWqFNlvEX4fzTx/8uQJOjo6KBQK6RjFQYMGkZKSgp2dHc2aNSM7Oxt3d3dSUlLYvn07CoWCly9f8sMPPzBmzBi6d+9elD9H+B1+rT5+8+YN69ev5/Lly3Tr1o0ffvgB+L9lFdnZ2ejo6Ii6XEZEnS4IgqZPJvhQYNmyZYSHh+Po6Ii1tbW0OVVB5ZednU12djaTJ08mNTWVwMBAMdNBRn7tvPY/8rlYGyo/Bw8eZOfOnRgbG1OxYkUqVaoknUhz4cIFAgMDefPmDY6OjrRo0YL09HSSk5OpVKkSWlpaItgkQytWrGDPnj0YGhpSvXp1XF1dKVeuHA8ePCAgIIDHjx/Tq1cvqbEK+Utx/P39OXnyJBs2bPjo2nCheNHsmKxevZoTJ07w+vVrqlevznfffUefPn0AGD9+PHFxccTGxlKrVi1KlCjBtm3bpMBiXl4eKSkplCtXrih/jvA7aOb55cuXSUhIwNTUlKpVq1KuXDni4+Ol2W6dOnVizJgxv7hPBJPlR9TpgiDAJxZ8OHv2LNOnT2fNmjVYWloC+evKXr16RZkyZahQoQLe3t6cO3eOnJwcgoKCUCqVojMqE5qNjWfPnpGWloapqam00/Wv5aNmACIzMxN9ff1/Lc3CX5OTkyMdm3f48GF27NjBnTt3GDVqFHZ2dtJ1BQGIpKQkxowZQ7t27aTvRCNVfk6dOsX8+fOZNWsWDx484OzZs7x584bNmzdTvnx5Hj58SEBAAFevXsXZ2ZmOHTsC+cvtrl+/To0aNfj888+L+FcIf8SqVasICgpiyZIllC5dmoCAACIiIpgxYwaDBw8G8jsicXFxGBsbY2lpKWaxyZDm+3j58uUcPnwYtVpN+fLlKVeuHM7OzpibmxMfH4+fnx/R0dG0bNmSyZMnF3HKhb9C1OmCIBT4pN7Y7969w9TUFEtLS27fvs3x48fZt28fGRkZtGrVChcXF1q3bo1arWbcuHHScXui4VL8FWwyBvnR87Nnz/L48WNatGiBmZkZs2bN+p+Bh7CwMO7evcuUKVMoUaLEv5p+4Y9TqVRS4OHEiRNYWVmhVCrx8fFh3759fPnll9StWxcAa2trtLS08Pb2JjIyslDwQQQeir8PA0RqtZqBAwfy1Vdf8dVXX9G8eXM8PDwYNmwYW7ZsoUaNGgwbNowqVarQvn176b4yZcpIjVZBPq5du8aZM2dYvXo1zZs358yZM5w+fZpWrVqxfPlylEol/fv3x8LCAgsLC+k+lUol3t8yU/A+9vf3Jzw8nJUrV9KsWTM8PT3ZuHEjiYmJLFy4kOrVq2NnZ4eHhweJiYm/OrtRKJ5EnS4Iwq+R7cyHj72IoqKisLGxoX379ty8eZN27drRqlUrFAoFCxcuxNfXt9AOyWLGg/ysX7+ejRs3smLFCurUqcPChQs5deoUAQEB0myXApp/I8HBwSxatIhVq1bx1VdfFUXShT9AM+88PT0JDQ1l3LhxDB48mMOHDxMYGIiRkRETJkygTp060n0xMTHUrVtXBBxkRDOvt27dysuXL4mJiaF+/fo4OTlJ11y/fh1PT0+Sk5Px9/fHxMREeoaoy+Xt9evXBAUFMW7cOGnPlokTJ9KhQwfs7e25desWzs7OjBgxoqiTKvwNXr16xcyZM+nTpw/ffvstp06dwsHBge+++46oqCgMDAxYtGgRVapUITExEWNjY7S1tUUAQiZEnS4Iwm+RZQtd81SLjIwM1Go1OTk5NGzYEH9/f8zMzJg9ezZOTk706tWLDh06ULlyZTIzMws9R1RsxV9BbEytVpOamsqlS5eYPXs21tbWxMTEEBkZibOzM5aWlmRnZ0v3af6NBAcHs3z5cpYvXy4CDzJRkHc+Pj7s3LmTNWvW0LNnTwC6du3K8OHDycrKYvXq1dy9e1e6r379+tJJJkLxp1lOV69ezapVq7hz5w5v3rxh7969xMXFAfl/D02bNmXq1KmoVCqWLl0K/F/9IOpy+fhY2Sxfvjx2dnYolUrCwsLo0aMHffv2pXz58lSrVo26dety9uzZXz0RQyjePsxzU1NTRo0aRZMmTYiKisLV1RUnJyfmzp1Lq1atuHLlCmPGjOHZs2eUKVNGqtNF4KH4E3W6IAj/i+zmK2pO5dq0aROXL18mJSWF1q1b069fP7744gtatGiBrq4uOTk5pKWl4eDggK6uLlZWVkWceuGP0Mzrd+/eUaJECTIyMqhevTqRkZE4Ojri5OSEjY0N2dnZhIeHU61aNZo3by7dVxB4WLRokTh6TWaSk5O5evUqLi4uWFpaEh8fT0xMDPv376d169a0bNmSq1evsmDBAhYvXlxoB2wx80EeCvIpPj6e169fExAQQIMGDXj06BFz585l+PDhBAYGSqceNGrUiJUrV0pT70VnRF406/Rr166RmppKo0aNMDQ0RF9fn7S0NG7fvk2HDh3Q0dEhPT2djIwMxo4dS+fOnaXTi0S+y4dmnp84cQJdXV2++OILWrduDeQvh2zcuDF9+/YFoHLlyrRr144GDRpI5R5EnS4Xok4XBOF/kV1tXlCxeXh4sG7dOlq2bEnz5s2JjIzE1dWVV69eoaurS1ZWFoGBgYwZM4bk5GS2bt0qRkRlpiCvFyxYwJIlS0hOTgby93yYMWMG06ZNY+DAgUD+NM7Dhw/z+vVr6f7Q0FAWLVokznyXKS0tLR4+fEhsbCxXrlxhyZIleHh4cOfOHdzc3DA2NqZbt27Url0bMzOzok6u8Ado1sPHjx+nXbt2/PTTTyiVSrS0tLCwsMDNzY3KlSszePBgXr16BeT/TdSqVQuFQkFeXl5RJV/4kwrqdHd3d+zt7XF0dGTAgAGEhoaSmppKqVKl6NChA/v378fNzQ07OzuePXtGx44dReBBhjT3alq6dCkLFy4kLi6Ot2/fStekpaVx//590tLSADh//jwtWrRgwoQJopzLiKjTBUH4vWQXfID8Y/ciIiLw8/Nj+PDhNG3alPv37/P06VOcnZ2Jj49HT08PCwsLWrZsSXBwMEqlktzcXBE9l5m4uDguXbpE3759MTU1xdHRkZ9++glLS0sGDRpEXl4eaWlpLFy4kOzsbLp06QLkN2hiYmLw8vKSPhPk5bPPPmPixIkEBQUxduxYKlWqxOTJk9m9ezctW7bk5s2b9OrVC1dXVxFYlJmCejgwMJBatWrRo0cPYmNjiY+Pl64xNzfHzc0NMzMzOnfuXKjDAmJarpxoLpe4cOECly5dYsWKFezfv5/GjRuzdetWQkNDycrKwtbWlu7duxMdHU2lSpXYsWOH1DERgQd5Kcivbdu2sWfPHpYvX06/fv0oW7asdE3z5s357LPPsLGxoVevXsTGxkp7e6jValHOZULU6YIg/F6y3HDy5MmTnD9/HhcXFyIjI5kxYwYTJ06kZMmSuLm50bhxY+bMmUPlypWle8TmNfKzbt06njx5go6ODnPnzkWhUKClpUVISAizZ8+mZcuWQH7evnv3jt27d0tBJh0dHbKystDT0yviXyH8VS9evCA7O5uqVasC+SMs33//PZaWlkyZMqVoEyf8IZoj14GBgbi7uxMYGIiFhQUODg7cuXOHdevWUb9+femeJ0+esGXLFmbOnCnqcJnbv38/0dHR6OrqFiq7rq6uXL9+nf79+2NjY4Oenh7Z2dno6uoCiFOpZEqtVqNSqZg0aRI1atTAwcFB+k6zTXbmzBlu3bqFSqWSTiITbTZ5EHW6IAh/lCyDDwBv376lRIkSjB49mq+++ooffviB9PR0BgwYwNu3b+natStz5swp6mQKf1Jubi4+Pj6sXbsWS0tLgoODC81aiY6O5uDBg6jVaszMzBgwYIA4OvUTl56ezp07d9iwYQPPnz8nLCxM5LVMXblyhaNHj2JlZUXnzp0ByMzMxN7enocPH7J27Vrq1av3i/tEh0ReCjomBc2MQYMGcf36ddq3b8/atWsLzWSYM2cON27coGvXrgwdOpRSpUoVeoYgTzk5OQwcOJB27doxYcKEQmU4KyuLx48fS0cmFxDlXH5EnS4Iwu8l2zUIZcuWJT4+nmfPntGkSRMAkpKSqFmzJvPmzWP27NlFnELhj/gwBqajo8OIESOYPn06UVFRbNu2TfouLy+PBg0a4OTkhLOzM4MHD5ZGSkRn9NOkVquJjo5mw4YN5OTkEBoaKuW5IC9nz55l/vz5HDp0iDJlygD5wUZ9fX28vb2pWbMm9vb23Lx58xf3ikaqfGgGDd68eYOWlhaBgYF069aN+/fvs2/fPt6/fy9dP2/ePCwsLHjy5AklS5aUPheBB3lTKpVUrFiRyMhIoHAZTkhIICQkhPv37xe6R5RzeRF1uiAIf4Rsgw8ABgYGVKpUiZCQEC5evMicOXPIzMykU6dOYg24jHx4dGp6ejqQv+a/X79+TJw4ETc3N3bs2AHkv6zUavUvAhbiJfbp0tLSokmTJkycOBE/Pz9peY3Ic/mpWbMmVlZWZGZmsn//fgApkKSvr8/q1aspXbo0vr6+RZxS4c/SrNP37t2Lm5sbt2/fRltbm2XLllGrVi38/f2JiIgodESyp6cnixcvLjRbQpCvgjbYhAkTePPmDT/88AM5OTlkZmaSlpbG/PnziY2NpUaNGkWcUuGvEHW6IAh/hGyXXUD+yErBRkZv377F3NycgIAAlEploeOdhOJLM58CAgI4efIkWVlZWFhYsHjxYiB/aubGjRtZtWoV8+bNo3///kWZZKEYEOVbHn4tn968ecP69eu5fPky3bp144cffgD+bwpudnY2Ojo6Io9lSDPPb926RUBAAJcuXaJ9+/aMGDGC2rVrk5eXx/jx44mPj2fMmDF07NiREiVKfPQZQvH3v5bG5OTkcP78eRYsWIBKpcLY2BjIz+eQkBDRZpMRUacLgvBXyTb4oLmWNCkpiaSkJKpVq4a2trZY9y9Dnp6ehIaGMnLkSMzMzJg+fTpt2rRh5syZmJiYkJWVxebNm1mxYgXe3t506tSpqJMsCMJv0GykXr58mYSEBExNTalatSrlypUjPj4eX19foqKi6NSpE2PGjPnFfaJDIh8fdkDd3Nw4e/YsVlZWJCQkcOHCBWk/h3r16pGXl4e9vT1RUVEsW7YMa2vrIky98GfcvXuXOnXqAL9vb47U1FRCQkLIzc3F0NCQ/v37o1AoRJtNJkSdLgjC36FYBR9+7eX1Rz4Xm9fIz6lTp1i6dCnz5s2jefPmnDlzhokTJ6KtrU2tWrVYuXIlJiYmZGZmcvjwYXr06CEaKoJQjGnWzcuXL+fw4cOo1WrKly9PuXLlcHZ2xtzcnPj4ePz8/IiOjqZly5ZMnjy5iFMu/B0uXryIg4MDvr6+WFpaArBjxw62bt1KgwYNGDlypDQDYvny5UydOlW8t2VmxYoVXLlyBXt7e1q3bg38uc1BRZtNHkSdLgjC36XYhB8114g+e/aMu3fvkpycDOSv9/7YxnIfrgvNzMwULzEZUqvV2NjY0Lx5c06fPs3UqVOZMWMGwcHB3L17l4ULF/Ly5Uv09fXp3bu3dKqFIAjFU0Fd7u/vT3h4OO7u7hw/fhwrKytOnTqFs7Mzjx49wsTEBDs7O6pUqUJiYqJY5y9Drq6uHDlypNBnarUaHR0dDAwMpM8GDBjAwIEDCQ8PZ9OmTdy+fRuFQoGzszMKhUJsHiszrVq1QktLi23btnH27Fngl22yjynYByIvLw+VSiXabDIh6nRBEP4uxSL4oFarpWlYK1asYNKkSQwaNAhnZ2cWLFiAWq3+6AtKMxIbFhbGypUrC+2eLRQ/H9sEtE2bNnTu3Jn09HTWrVvH0KFD6d+/P2XKlKFy5cocO3aMtWvXFrpHzHwQhOLt1atXnD9/nunTp9OsWTNOnTrF1q1b6du3L+/fv2fOnDn8/PPPmJiYMH36dObNmyc2GpSZly9fUrZsWTp06PCL73Jzc0lKSgKQNpW0sbHBzMyM6OhowsLCSExMlK4XnVD5yM3NxdraGmdnZ9LT09m5cycXLlwAfjsAodnWA8T0e5kRdbogCH+HYlHzFwQQ1q9fz44dO5g6dSrHjx+nVKlShIeHExUV9Yt7NAMPwcHBuLq60qpVq0KbVgnFS25urtTYiI2N5fXr16SkpKBQKKhcuTKJiYm8efOG5s2bA/lHdFlaWrJ//37mzJlTlEkXBOF/+DCwaGpqyqhRo2jSpAlRUVG4urri5OTE3LlzadWqFVeuXGHMmDE8e/aMMmXKSCcUiaMV5aNixYpMmjQJpVJJaGgomzdvBsDa2ppmzZoxbdo04uLi0NXVBfKPw27atClff/014eHhxMbGFmXyhT9BpVJJwX+VSkXVqlW5fPky69ev59KlS8DHAxCabbaNGzcyfPhwcSJZMSfqdEEQ/glFOnysuWlkWloaly5dYvbs2VhbW3P27FkiIyNxcXHB0tKS7OxsqQGjuWFNcHAwy5cvZ/ny5Xz11VdF+XOEX+Hr64u1tTUNGzYEwMPDgyNHjpCRkUHbtm2xsbGhSZMmlC1bloyMDLZv305aWhqBgYFkZmZSvXp1tLW1xdpQQSimNOvkEydOoKuryxdffCGtBQ8LC6Nx48b07dsXgMqVK9OuXTsaNGhAxYoVpeeIkVB5Sk5O5sSJE7x8+RJdXV0GDhyIu7s748aNo3///owbN46SJUty4MABtLS0cHd3Z9++fURGRtKiRYuiTr7wBxSUUXd3dw4dOkSPHj3o2rUrBw8exN/fn7y8PFq3bi217TT/C/lttnXr1jFz5kxR3osxUacLgvBPKbJaQTMa+u7dO5RKJRkZGVSvXp3IyEgmTJiAk5MTNjY2ZGdnEx4eztWrV/MT/UHgYdGiRXz99ddF9VOE3/DTTz+xf/9+1q1bR2xsLBcvXmTv3r3MmjWL4cOH8/btW5YtW8aFCxcwMDDA09OTW7du4eXlRW5uLlu3bpWi5yLwIAjFj+ZU6qVLl7Jw4ULi4uJ4+/atdE1aWhr3798nLS0NgPPnz9OiRQsmTJgg1vvL0IcjosbGxjg4OFC7dm3Cw8PZuXMnpUqVYsuWLXTu3JnQ0FA2bNiAtrY2a9asAcDQ0JBq1aoVRfKFvygmJob9+/fj7u6Oo6Mjc+fOZdWqVbx584YNGzZw5coV4P/269IMPCxbtowFCxbQs2fPovwJwm8QdbogCP+kIpv5UFCxLViwgIyMDCZNmgTk7/lw8+ZNpk2bxsCBA4H8dWaHDx+mX79+0v2hoaEsWrQIDw8PunTp8u//AOF3adasGWPHjmXnzp2sXr2aihUrMnr0aNq2bUvbtm1p0KABgYGBeHl5oaOjg5WVFQcOHCA5OZlKlSqhpaUljuEShGKsoGOxbds29uzZg4+PDw0bNixUZps3b87169exsbHB0NCQ9+/fs3LlSoBf3dNHKJ40R0SfPn1KqVKlMDAwwMLCgpEjR+Lv78/u3btRqVTY2toyf/583rx5g56eHqVKlQLAy8uLhIQEWrVqVZQ/RfiT9PT0Ci2rUKvVtGrVCicnJ0aPHo2uri6pqal06NBBKts7duxg2bJluLm5iTZbMSfqdEEQ/klF2qOLi4vj0qVLzJ07F1NTUxwdHRk7dixNmzZl0KBB5OXlkZmZycKFC8nOzpZeWGlpacTExODl5fXRja6E4iEnJwelUkm3bt3Q1tZmx44dXLx4kVGjRknXFJztHhgYyMqVKxkzZgzt2rWjZMmSQOH1pYIgFD9qtRqVSsXFixfp378/TZo0kb4rWCrVsWNHdHV1uXXrFiqVinHjxqGjoyOWUsmQ5ubQe/bswdDQkOrVq+Pq6kqNGjX4/vvvCQgIYM+ePQDY2tpSrlw5IH+vH39/f06ePMmGDRuoUqVKUf0M4Xf62NIJyO+gPn36lJYtW5KXl4eOjg6tWrWiZs2aREVFUbt2bal9Fhoaypw5c1i1apUIPMiAqNMFQfgnFVmvbt26dTx58oTGjRvTuHFj1Go1LVq0YPr06cyePZvhw4cD+RXdu3fv2L17NwqFgtzcXEqVKsW0adPQ09MrquQL/4NKpUKpVAL56wWtrKxQKpX4+Piwb98+vvzyS+rWrQvkByC0tLTw9vYmMjKSdu3aSc8R6wUFoXjT0tJCpVLx6tUrateuDfxfA1WhUJCVlcXjx49p06YNbdq0ke4TjVT5OnXqFPv372fu3Lk8ePCAs2fPMmzYMDZv3kzNmjUZNWoUAQEBBAQEUL58eTp27AhA6dKl6dixIz/88AOff/55Ef8K4X/RnOWSmJiIoaEhurq6WFhY0K9fPxYsWEDFihWlcp2WlkatWrUYPXo033zzDZC/0bSenh5r1qwRg0UyIep0QRD+SVrqIjgDJzc3Fx8fH9auXYulpSXBwcGFOpnR0dEcPHgQtVqNmZkZAwYMQEdHR0y/lwnNERJPT09CQ0MZN24cgwcP5vDhwwQGBmJkZMSECROoU6eOdF9MTAx169YVAQdBkKEJEybw7NkzwsLCCn3+888/s2nTJmxtbalVq1YRpU74KzQ7oQAnT57k4cOHjB49GoBr167h4eFBYmIiW7ZsoXz58ty9e5eTJ09iZ2cnOiQy5+3tzZEjRzAyMqJRo0Y4OjqiUChwdXVl586dDB06FENDQ65evUpGRgY7d+4stEn0h38/gjyIOl0QhH/CvxJ8+HC6HkBKSgphYWG4u7szY8YMhg0bBvx65FREVOXHx8eHrVu34uvrS7Vq1TA0NAQgIiKCoKAg9PT0fhGAgF82dAVBKL4Kyuv9+/cZNWoU9erVw9vbm9zcXPLy8nBwcCAnJ4eNGzeKci1Dmu/vrVu38vLlS2JiYqhfvz5OTk7SNdevX8fT05Pk5GT8/f0xMTGRniHe3/Ki+Q4ODQ3F3d2dyZMnExMTQ0xMDCYmJnh7e6NQKNi2bRsnTpwgMzOTcuXK4eHhgVKpFO9xGRN1uiAI/6R/PPig+QLKyMhArVZL6/nT0tLYunUrXl5ezJs3jwEDBgBIGxmJs4HlKzk5mcmTJ9O7d2969uxJfHw8jx8/Zv/+/bRu3Zpnz55x9epV0tPTWbx4sVj7KwjF3MeCyJpycnI4f/48CxYsQKVSYWxsDOS/A0JCQkSHRIY082v16tVs2bKFBg0akJCQQEpKCkFBQZibm0vX37hxAxcXF+rWrYuHh8f//JsRirdTp05x//59zMzM+Oabb8jOzubYsWOsX7+eihUr4uPjg46ODmlpaejr66OtrS02iZYRUacLglAU/tHgg2alFBAQwMmTJ8nKysLCwoLFixcDkJWVxcaNG1m1ahXz5s2jf//+/1RyhH9RSkoK3bt3p0+fPnz55Zds376dZ8+eoVKpiI+PZ+LEidJmRbNmzRIvL0Eopu7evSvNTvo9ncnU1FRCQkLIzc3F0NCQ/v37S/v1iA6JPMXHx+Pj44ONjQ0NGjTg0aNHzJ07l+fPnxMYGEjFihWB/L+PBw8eYGFhIWY6yNytW7dwdHQkKSkJDw8PaS+m7OxsIiIi8PX1xdTUFG9v70LlWgScij9RpwuCUJT+lWUXBev+R44ciZmZGdOnT6dNmzbMnDkTExMTsrKy2Lx5MytWrMDb25tOnTr900kS/gUhISEsW7aMvLw8bG1t+eKLL2jdujWOjo7o6emxaNEi6VoRPReE4mfFihVcuXIFe3t7WrduDfy5zoWYdi8vmvXx8ePH+fHHH7GwsMDDw0PqtMTFxeHi4sLz58/Zvn07pqamhZ4h8lxePizXiYmJhIeHs2nTJho1asSqVauk77Kzszl+/Dhubm706NFDWn4jFH+iThcEoaj94729U6dOcfz4cVauXMmoUaMwMDAA4Ny5czg4OBAfH4+enh7Dhg1j8eLFtG/f/p9OkvAvsbGxYc+ePezevZtp06bRunVrVCoVb9++pWzZsoWuFYEHQSh+WrVqhZaWFtu2bePs2bMA0rF7v0WlUgH5DVSVSiUaqTJTUB8HBgZSq1YtevToQWxsLPHx8dI15ubmuLm5YWZmRufOnXn79m2hZ4g8l5eCzqefnx9Xr16lTJky9O3bl1GjRvHo0SNcXV2la3V1denYsSNLly7F0dGxqJIs/AmiThcEoaj94z0+tVqNjY0NzZs35/Tp00ydOpUZM2YQHBzM3bt3WbhwIS9fvkRfX5/evXtLp1oIn4ZKlSpRtWpV0tPTuXr1KuPHj+ft27dMnDixqJMmCMJvyKfqT10AACfGSURBVM3NxdraGmdnZ9LT09m5cycXLlwAfruxqlarCwUTRWBRPjTzNDAwEHd3d5KTk5k3bx5t27Zl1qxZxMTESNeYm5szf/58bGxspPXggnylpaVx9epVhg0bxs2bNzEyMqJnz57069ePGzdu/CIAYW1tjUKhIC8vrwhTLfxeok4XBKE4+FtrkILIqKY2bdrQuXNn0tPTWbduHUOHDqV///6UKVOGypUrc+zYMdauXVvoHrGG7NOiVquJjo5mw4YN5OTkEBoaio6OjmiwCEIxpVKppHpYpVJRtWpVLl++zPr167l06RLw8caq5vTdjRs3Mnz48I++F4TiqSDvrly5wpMnT/Dw8KBhw4YYGBjg5eVFrVq1GD9+PLdv35buqVq1Kq6urqITKkMFAz0F5bhUqVLMmTOHb7/9lqFDh3Ljxg2MjY3p1asXffv2JSoqCgcHh188R4yCF3+iThcEobj424IPubm5UjQ0NjaW169fk5KSgkKhoHLlyiQmJvLmzRuaN28OgFKpxNLSkv379zNnzpy/KxlCMaSlpUWTJk2YOHEifn5+KJVKcnNzRYNFEIqpgrrc3d0dBwcHjIyM6Nq1K7dv38bf35/z588DhRurmo3U4OBg1q1bR//+/cUomcycPXuW+fPnc+jQIcqUKQPkv9/19fXx9vamZs2a2Nvbc/PmzV/cK+p0efDw8CAuLk7qjL579w7IL8OVKlVi8uTJdO7cWZoBYWxszHfffUeXLl0oUaKE6HzKkKjTBUEoLv7yhpO+vr5YW1vTsGFDIP+lduTIETIyMmjbti02NjY0adKEjIwMunTpQtOmTenZsyeBgYFkZmayfft2tLW1xeY1/yFic0lBKP5iYmIYO3Ysy5cvp2XLlgBcvHiRpUuXYmxszLhx42jRogVQePOx4OBgli1bxuLFi+nSpUuRpV/4c+Lj4/H19WXPnj307NlTGhwoyOPMzEyGDBmCqakpPj4+RZxa4Y8aOXIk2dnZbNq0CaVSyZEjR5g+fTphYWFUrVpV6nA+f/6cBQsWcOnSJbZv307dunVJS0ujZMmSaGlpife4DIk6XRCE4uAvvTl++ukn9u/fz7p164iNjeXixYvs3buXWbNmMXz4cN6+fcuyZcu4cOECBgYGeHp6cuvWLby8vMjNzWXr1q1oa2uLzWv+Y0SDRRCKPz09vUJTcNVqNa1atcLJyYnLly/j7+9PZGQk8H8j3jt27GDZsmW4ubmJRqoMfGwE28TEhHHjxtGnTx+uXbvG+vXrAaRlFfr6+gQFBbF69ep/O7nCXxQbG8urV6+YMmUKSqWSmzdvUqpUKZo2bYqdnR1Pnz6VAguVK1emZ8+eZGZm0rt3b+7fv0+pUqWkkXHxHpcfUacLglAc/KXNFZo1a8bYsWPZuXMnq1evpmLFiowePZq2bdvStm1bGjRoQGBgIF5eXujo6GBlZcWBAwdITk6mUqVKaGlpiXOCBUEQiljBaOeHR65paWnx9OlTWrZsSV5eHjo6OrRq1YqaNWsSFRVF7dq16dChAwChoaHMmTOHVatWiUaqDGiOXF++fJmEhARMTU2pWrUq5cqVY/To0ahUKo4fP46WlhZjxoxBoVCgUqnQ1dX9xTMEecjNzeXWrVvs3LmTR48e4e/vj6OjI56enowcOZKAgACqVq0KQPny5enfvz9Vq1alevXq0jP+6LGMwr9P1OmCIBRXf3rZRU5ODkqlEoDDhw+zY8cO7ty5w6hRo7Czs5Ouu3DhAoGBgSQlJTFmzBjatWsnfScaLoIgCEVLsx5++/YthoaGUufSy8uLDRs2sGbNGtq0aQPk74i/YMEC2rZtyzfffIO2tja5ubkcPXoUPT09qeEqFF+aHZLly5dz+PBh1Go15cuXp1y5cjg7O2Nubk58fDx+fn5ER0fTsmVLJk+eXMQpF/6qkJAQ3NzcAPD29uaLL74AIDo6Gi8vL+7du4eHhwdlypRhxYoVlC9fXlp6IwaL5EHU6YIgFGd/6i2iUqmkwMOJEyewsrJCqVTi4+PDvn37+PLLL6lbty4A1tbWaGlp4e3tTWRkZKHggwg8CIIgFK2Cetjb25sjR45gZGREo0aNcHR0ZNKkSbx9+xY7OzuGDh2KoaEhV69eJSMjg8WLF0v79ejo6NC1a1dRp8tEQeDB39+f8PBwVq5cSbNmzfD09GTjxo0kJiaycOFCqlevjp2dHR4eHiQmJv5iFFWQj4IOaXZ2NpmZmRgYGPDgwQNq1apF+fLladCgAVOnTpVOJatSpQr6+vqsWLECyA9YicCDPIg6XRCE4uwPz3zQbHx4enoSGhrKuHHjGDx4MIcPHyYwMBAjIyMmTJhAnTp1pPtiYmKoW7euqMgEQRCKAc3RsdDQUNzd3Zk8eTIxMTHExMRgYmKCt7c3CoWCbdu2ceLECTIzMylXrhweHh4olUoxe03GXr16xcyZM+nTpw/ffvstp06dwsHBge+++46oqCgMDAxYtGgRVapUITExEWNjY7S1tUUAQuaePHlC6dKl2bNnD6tWreKHH36gb9++lC1bVrrm2rVrADRq1AiFQiFmPMiEqNMFQZCDP73swsfHh61bt+Lr60u1atUwNDQEICIigqCgIPT09H4RgACx1EIQBKE4OXXqFPfv38fMzIxvvvmG7Oxsjh07xvr166lYsSI+Pj7o6OiQlpaGvr4+2traYr8eGfrYu/f8+fNUrVqVt/+vvbuPirrM/z/+HJhBTEDSXBVoU2xbLcMkvAG2rI5m6inzKGgqGlve7RF1HdM0b1BQMwGxzRIl62TewcpNdlw9Kt7VSRPbFeWgJmWilSvuIsKAAzPz+8Mf84XMtryDwdfjP8fPNV6fc+Gb63pfdxcvMnHiRMaPH89LL73E0qVLef/992nXrh2pqakEBARc9zvEda1atYqUlBTGjRvHkCFDnFer1qabyFyPYrqINGQ31IsoKSkhNzeXWbNmERQUhMVi4cCBA8yePRur1UqPHj2oqqoiLi6OM2fO1P0H1XEREWkQ8vLyiI+PJyUlhXvuuQcADw8P+vTpw/jx4zl//jwTJ06kuroaLy8v3N3dnYeYqZPqOmonDXbv3s3nn38OQFhYGH5+fuzbt4/HHnuMwYMHA+Dv70+vXr0YMGAAbdu2dX6Pfn83DjW3nIwdO5Zx48axevVqMjIyKC4uvuZZJR5ci2K6iDR0N9STMBgMnDp1isLCQg4dOsSbb75JYmIiBQUFLFq0CF9fX/r3788f//hH54yJiIjUr58udAsICGD48OE0a9aMzZs3Oz/38PCgd+/ejBs3jvz8fJKSkuqU07J711H7WsS33nqL+Ph4ioqKuHjxovOZsrIyTp48SVlZGXB1RUS3bt2IiYlxXrEpjUfNFedwNQExZswYEhISnEkpcR2K6SLiam5420V6ejpLly7FZrMxbNgwwsPDCQsLw2w24+npycKFC53PaqmmiEjDsXr1arp27UpISAilpaVkZWWRlpZGcHAwCxYscD5ntVo5fPgw3bt31wyoi/v444959913WbFiBY8++midWc5du3axevVqLly4gLe3N1euXGHLli0YjUad8dCI1e6bZWdnM2DAAM1+uyjFdBFxFTecfAD4/vvvsVqtzjuh7XY7f/7znwkKCmLq1Km3qo4iInKLlJWVYTab2b9/Pxs2bKBLly6UlJSQlZVFRkYGjz32WJ3Oag3t/XZNDocDu93O5MmTefDBB5kyZYrz72q36f79+8nLy8NutzNhwgSMRqPa3MVcL1H0Swmkn04O1b5GXVyDYrqIuJKbSj7UKC8vp6CggNTUVM6dO0dmZqay5yIiDUDNIWK1ByDff/89y5YtY/v27Xz00Uc89thjlJSUkJ2dTVZWFg888ADJycn1W3G5ZaqqqnjppZfo1asXMTExdQYdlZWVfPvtt87rsWtoYOJaaicRzp49S1lZGW3atMHX1xe4fnvWjgsVFRU0bdr0jtVZboxiuoi4spveC+FwODh27BipqalUVVWRkZHhnDEREZH6kZiYSFFRkTMRXFpaClyN2X5+fvz1r3+lT58+jBo1iiNHjuDr68vAgQN59tlnadKkiXNPuLg+k8lE27ZtycnJAeoeIvjvf/+b9PR0Tp48WaeMEg+uo/a5HsuWLWPy5MkMHz6cGTNmEBcXh8Ph+J+Jh4yMDJKTk7ly5codrbv8eorpItIY3HTywWAw0LVrVyZNmsTq1asxmUxUV1er4yIiUk+io6P56quvaNOmDQDbt2/nqaee4vTp086Tzf38/Jg6dSphYWG8/PLLFBQU4OvrS1RUFG+++WadQ+nEddW0YUxMDMXFxYwbN46qqioqKiooKytjwYIFFBYW8uCDD9ZzTeVG1SQQUlJS2LRpE9OmTWPXrl14eXmRnZ3N0aNHrylTO/GwceNG5s2bR8+ePWnSpMkdrbv8OorpItJY3JJTID08PHj44YedgU1bLkRE6kdhYSE//vgjU6dOxWQyceTIEby8vAgODmbMmDF89913GAwG7HY7/v7+vPDCC1RUVDBo0CBOnjyJl5eXszOrg4Jdx/V2UNa0Yfv27YmPj6ewsJC+ffsyYsQIRo0aRXFxMampqRqYuKCaNnc4HFy+fJmDBw8yZ84cQkNDyc/PJycnhxkzZhAUFITVanWWs9vtdRIPCQkJJCQk8PTTT9fLe8gvU0wXkcbklmcJFNhEROpXdXU1eXl5pKWl8c033/D+++9jNptJSkoiOjqaNWvWOA8KbtWqFZGRkbRr147AwEDnd+iGA9dw/PhxOnbs6BxcXK/dTCYTvXr1Ijg4mPT0dKqrq/H29iYyMhJ3d3fnPnJxDbXPeCgtLaVJkyZYLBYCAwPJycnBbDYzffp0IiIisFqtZGdn0759e0JCQpzlahIPCxcupG/fvvX5OvI/KKaLSGNxSw6cFBGRhiM9PZ1FixYB8M477xAeHg7AsWPHWL58OSdOnCAxMZEWLVqwbNkyWrVqxbx58wA0CHUhy5Yt49ChQ0ycOJGwsDDgl282uB4dLum64uLisFgsTJ48mSlTpuDj48ORI0ec5z4AnDlzhvnz5zNkyBD69esHXD3jYd68eSQmJvLss8/W5yvIr6CYLiKNhZYpiIg0EjXL5q1WKxUVFRgMBr7++msuXLgAQOfOnZk2bRqPP/44UVFRTJgwgaKiImbNmgVcHbiqk+o6evbsicFg4OOPP+azzz4DcK6A+CU1Pyc2mw273a7Eg4sqKiri4MGDDB48mDZt2mA2mzl8+DBBQUEMHz4cm81GWVkZ8fHxWK1WZ5KhrKyM/Px8li9frsRDA6eYLiKNjVY+iIg0MqdPn+bee+8lKyuLt99+m3HjxjF48GBatmzpfOarr74CoEuXLlp274Jq2isvL4/ExESaN2/OSy+9RGhoKHD9FRC1P9eKB9e1cuVKTp8+jdFoJDY2Fnd3dwwGA+np6cyZM4cePXoAV9u4tLSUzZs3Ow8ENxqNVFZW4unpWc9vIb+WYrqINBaKSiIijUzN3t/Ro0dz5coVUlJSABgyZAgtWrQAIDg42Pm8zWZTJ9WF1D7Y2W63065dO7Zv305paSlubm706NHjZ8+AqP3nDz74gF27dvHRRx/prCYXU11dzZUrV8jKyiIoKAg3Nzdnu0ZERNCpUye2bt2Kw+EgICCAoUOHYjQa6wxGlXhwLYrpItJYKDKJiDRCNQfSjR07FoDVq1fj5ubGiy++yH333VfnWc1+u5aaZMGSJUv4xz/+wfPPP89zzz3H1q1bef/997HZbISFhdVJQPz0asWVK1fyxhtvKPHgAn6aRDIajbz88ss0b96cJUuW8PHHHzNq1Cjg6qCzc+fOdO7cuc53aDDq+hTTRaQx0G8iEZFGqObqxNqd1YSEBFq1asXAgQPruXZys/Lz8/n0009JSEhwLrF/7rnneOutt0hNTcVkMtGtWzcMBkOd7RUbN25k6dKlLF68WPv9XUDtWy0sFgsOh4NmzZrRvHlzhgwZQkVFBYsWLaJJkyYMHToUd3d355kftRMWGoy6PsV0EWkMlHwQEWmkftpZbd26NQMGDKjvaskt4OnpWedgSYfDQc+ePZk+fTqvvvoqHh4eXL58mWeeecY58Ny0aRNLly5l0aJFSjy4gNqJhzVr1rBnzx4qKyvp0KEDixcvxsvLi+joaABiY2MxGAxERkbqSsVGTDFdRFyd1luKiLiQ650RfL3PazqrAAMHDsRoNFJVVXXb6ie3Xk3b/rSNDQYD3333HXB1WT1cvQHjD3/4A0ePHuXIkSPOZ2uuVly8eDF9+/a9QzWXm1GTeEhKSmLNmjX06tWLV155hW3btjFp0iTOnz+Pp6cn0dHRTJkyhblz57Jz5856rrX8VorpInI30coHEREXUXsm9OzZs5SVldGmTRt8fX2vWV5fW+2Z0IqKCpo2bXrH6iw3p3ab/+c//8Hb2xsPDw86dOjAkCFDiIuLo23btjzxxBPA1WsUH3roIV599VX69esHXD2g0NPTk3fffZdnnnmm3t5Ffru9e/eya9cukpOTCQkJYf/+/QB8/vnnTJkyheTkZFq3bs2oUaP43e9+x1NPPVW/FZbfRDFdRO42umpTRMQF1D50btmyZXz22Wd8++23dOvWjYCAAGbPnv0/r1bMyMjgxIkTTJ06lSZNmtzR+svNeeedd9i+fTs+Pj506dIFs9mMu7s7c+fOJS0tjaioKLy9vcnNzcVisZCWloabm5tz8FJ7kCOuY8+ePZw+fZqXX36Zffv28dprr2E2m+natSuRkZH86U9/YtasWbRt29ZZRlcsugbFdBG5G6knIiLiAmo6mykpKWzatIlp06axa9cuvLy8yM7O5ujRo9eU+ekNB/PmzaNnz57qpLqAmmXVcHWAsXbtWkaMGEFgYCAHDhxg4sSJ2Gw2FixYwOzZs/nmm284cOAAvr6+bNiwwbk0u2bWVImHhq92m9d44okn6NOnD+Xl5axcuZKoqCgiIyNp0aIF/v7+7Nixg/fee69OGSUeXINiuojcjfQbSkSkAat9VWJZWRkHDx5kzpw5hIaG8tlnn5GTk8OsWbMICgrCarXi4eEB1F3Ou3HjRhISEkhISODpp5+uz9eRX6mm7fbu3cvFixeJjY2lX79+WK1WduzYQUpKCn/5y19YsWIFI0eO5MUXX6Rp06a4ublhMBg0++1iardXYWEhPj4+eHh40Lx5c/z9/SkqKqK4uJiQkBAATCYTQUFBJCcn0759+/qsuvxGiukicjfTVIiISANlt9uds1ylpaWYTCYsFguBgYHk5OQQExPD9OnTiYiIwGq1kp2dTW5uLsA1ndSFCxfqoEEXk5eXR3x8PCkpKdxzzz0AeHh40KdPH8aPH8/58+eZOHEi1dXVeHl54e7u7hzUKPHgGlatWsXRo0ed7ZWYmMiECRMYNGgQS5Ys4Z///CcALVu2xGKxsH79enbu3MnkyZP55ptvCAwMxN3d3XngqDRsiukicrdT8kFEpIGq6WzGxcXx5ptvUlJSAlzdHzxz5kxee+01XnrpJQB+/PFHtm3bxoULF5zlMzIyWLhwIYsWLVIn1QX89AimgIAAhg8fTrNmzdi8ebPzcw8PD3r37s24cePIz88nKSmpTjldtegaDh8+zKeffsrKlSspLCzkwIEDfPLJJ8yePZvRo0dz8eJFli5dyhdffME999xDUlISeXl5LF++nOrqatauXXvN9hpp2BTTReRupwMnRUQasKKiIiZMmEBsbCwhISEcOnSI8ePHExwczOrVq7HZbFRUVDB16lQqKir48MMPcXd3p6ysjGXLlhEeHq4bDlzM6tWr6dq1KyEhIZSWlpKVlUVaWhrBwcEsWLDA+ZzVauXw4cN0795dg08XtXXrVtLS0vD19aVt27b4+fkRFRUFwBdffMG6desoLi7GbDbTrVs3ysvLKSkpwc/PT9trXJRiuojczZR8EBFpoFauXMnp06cxGo3ExsY6l9Wnp6czZ84cevToAYDNZqO0tJTNmzdjMpmcA5LKyko8PT3r+S3ktygrK8NsNrN//342bNhAly5dKCkpISsri4yMDB577LE6CYga17uSTxqmqqoqTCYTANu2bWPTpk0UFBTwyiuvMGbMGOdzNQmI//73v4wdO5ZevXo5/043mLgexXQRudvpt5aISANUXV3NlStXyMrK4uTJk86DBAEiIiL4+9//ziOPPMLDDz9Mv379yMjIqNNJBdRJdQHV1dXA/2258PLyYt68eQwYMICoqCj+9a9/4evry4svvsjgwYM5evQoU6ZMueZ7lHhwHXa73Zl42L17N927d2fkyJH4+fmxZcsWCgoKnM+GhoYycuRIDAYDOTk5db5HiQfXopguIqKVDyIiDULtK9RqXLp0iczMTJYsWcLMmTMZNWoUcP1Zbs1+u47ExEQiIyO5//77gatt3bx5c+fPwffff09iYiI7duxg7dq1zhUQGzZs4PTp0yxevFiDTxdU+/95UlISGRkZTJgwgREjRrBt2zbWrVuHj48PMTExdOzY0VkuPz+fTp06qc1diGK6iMi1lHwQEalntZdPWywWHA4HzZo1A64uw1+7di3Lly9n/vz5DB06FPi/mXIdLuh6oqOjsVqtfPjhh5hMJrZv387rr79OZmYm7dq1cw5azp07R1xcHAcPHmT9+vV06tSJsrIymjVrhsFg0LJ7F7ZixQrWrl3LqlWraN++Pd7e3gDs3LmTDRs24OnpeU0CArTVwlUopouI/DydUiQiUo9qd1LXrFnDnj17qKyspEOHDixevBgvLy+io6MBiI2NxWAwEBkZqQ6qiyosLOTHH38kPj4ek8nEkSNH8PLyIjg4mDFjxpCamsoDDzyA3W7H39+fF154gT179jBo0CA++eQTHnroIeDqQEWDUNdUUlJCbm4us2bNIigoiPPnz5Ofn8+nn35KWFgYPXr0IDc3l7i4OBYvXszvf/97Z1m1ecOnmC4icn1KPoiI1KOaTmrNEuzo6GgCAgJ4/fXXKS8v54033qB169ZER0fj5ubG3LlzadGiBb17967nmsuNqq6uJi8vj7S0NL755hvef/99zGYzSUlJREdHs2bNGtq1awdAq1atiIyMpF27dgQGBjq/QwMV12UwGDh16hSFhYUcOnSI9evXc/bsWex2O3v27GHSpEn079+fvLw8AgIC6ru68hsppouIXJ+2XYiI1LO9e/fy1ltvMX/+fEJCQti/fz+TJk3Czc2Nhx56iOTkZFq3bk1FRQXbtm3j+eef1/V6Liw9PZ1FixYB8M477xAeHg7AsWPHWL58OSdOnCAxMZEWLVqwbNkyWrVqxbx58wB0tWIjkZ6eztKlS7HZbAwbNozw8HDCwsIwm814enqycOFC57PaauF6FNNFRH6efpuJiNQzh8NBREQEISEh7Nu3j2nTpjFz5kw2btzI8ePHiY+P54cffqBp06YMGjQIo9HovCVBXIfdbgfAarVSUVGBwWDg66+/5sKFCwB07tyZadOm8fjjjxMVFcWECRMoKipi1qxZwNWfEw1QGoeIiAiysrLYvHkzr732GmFhYdjtdi5evEjLli3rPKvEg+tRTBcR+Xla+SAicgf93CymzWbjxx9/xNfXlzFjxhAWFsbEiRO5ePEio0eP5tSpU0RGRrJgwYJ6qrXcSqdPn+bee+8lKyuLt99+m3HjxjF48OA6g86vvvoKgC5duuDu7q4VD41YeXk5BQUFpKamcu7cOTIzM9XWLkQxXUTk19NvNxGRO6T2ALKwsBAfHx88PDxo3rw5/v7+FBUVUVxcTEhICAAmk4mgoCCSk5Np3759fVZdbqGa8xxGjx7NlStXSElJAWDIkCG0aNECgODgYOfzNptNg9FGyuFwcOzYMT744AOqqqrIyMjAaDTqikUXoZguIvLbqDcjInKbrVq1itDQUB599FEAEhMT2b59OxaLhSeffJKIiAi6du1Ky5YtsVgsrF+/nrKyMtatW0dFRQWBgYG4ublpQNKI1MyWjh07FoDVq1fj5ubGiy++yH333VfnWbV542UwGOjatSve3t507NgRNzc3rXJxAYrpIiI3RtsuRERuo8OHDzN//nzuv/9+pk6dyoULF5gxYwZxcXGcOHGC3NxcLl++TExMDKGhoXz55ZdMnz4db29vfH19WbNmDSaTSYfONUK123TVqlUkJSWxZMkSBg4cWM81k/qi/+cNn2K6iMiNU/JBROQ227p1K2lpafj6+tK2bVv8/PyIiooC4IsvvmDdunUUFxdjNpvp1q0b5eXllJSU4Ofnh8Fg0ExoI1Z7AJKdnc2AAQPU1iINnGK6iMiNUcpVROQ2qaqqAqB///4MGzaMS5cukZmZSWVlpfOZ0NBQRowYwX333UdycjJ79+6lWbNm+Pv7YzAYsNvt6qS6kOvl86/3uZubm/MWjIEDB2I0Gp0/NyLSsCimi4jcHCUfRERuA7vdjslkAmD37t10796dkSNH4ufnx5YtWygoKHA+GxoaysiRIzEYDOTk5NT5Hi3LdR12ux2DwQDA2bNnOX78OCUlJcDVvf02m+1ny9WUAaioqHD+3IhIw6GYLiJy87TtQkTkFnM4HM4BZVJSEhkZGUyYMIERI0awbds21q1bh4+PDzExMXTs2NFZLj8/n06dOqlz6oJqt/myZcv47LPP+Pbbb+nWrRsBAQHMnj27TpLh58plZGRw4sQJpk6dSpMmTe5o/UXk+hTTRURuDUVDEZFbrKaTumLFCtLS0nj33Xd54YUXAHjuuecYPXo0lZWV/O1vf+P48ePOco888kidZfjiOmraPCUlhU2bNjFt2jR27dqFl5cX2dnZHD169JoytQc0GzduZN68efTs2VOJB5EGRjFdROTWUPJBROQ2KCkpITc3l1mzZhEUFITFYuHAgQPMnj0bq9VKjx49qKqqIi4ujjNnztQpq1ky11GzeNDhcHD58mUOHjzInDlzCA0NJT8/n5ycHGbMmEFQUBBWq9VZrvYWjY0bN5KQkEBCQgJPP/10vbyHiPwyxXQRkZunE29ERG4Dg8HAqVOnKCws5NChQ6xfv56zZ89it9vZs2cPkyZNon///uTl5REQEFDf1ZUbUPumitLSUpo0aYLFYiEwMJCcnBzMZjPTp08nIiICq9VKdnY27du3JyQkxFmuJvGwcOFC+vbtW5+vIyK/QDFdROTm6cwHEZHbJD09naVLl2Kz2Rg2bBjh4eGEhYVhNpvx9PRk4cKFzmd157vriouLw2KxMHnyZKZMmYKPjw9Hjhxh8uTJDB8+HIAzZ84wf/58hgwZQr9+/YCrZzzMmzePxMREnn322fp8BRH5FRTTRURujlY+iIjcJhEREYSHh2O1WmnXrh1wtUN68eJFgoKC6jyrTqprKioq4uDBg8TGxtKmTRvMZjPjx48nODiY4cOHY7PZqKioID4+HqvV6kwylJWVkZ+fz/Lly3nmmWfq+S1E5NdQTBcRuTla+SAicgeUl5dTUFBAamoq586dIzMzU3e9u7iVK1dy+vRpjEYjsbGxuLu7YzAYSE9PZ86cOfTo0QMAm81GaWkpmzdvxmQyUV1djdFopLKyEk9Pz3p+CxG5EYrpIiK/naKkiMht5nA4OHbsGB988AFVVVVkZGRgNBqx2Wy4u7vXd/XkBlRXV3PlyhWysrIICgrCzc3NeYBkREQEnTp1YuvWrTgcDgICAhg6dChGo9GZeACUeBBxUYrpIiI3RisfRETuAKvVyqlTp+jYsSNubm51BqHS8NW+FrPGpUuXyMzMZMmSJcycOZNRo0YBXHcAooGJSOOhmC4i8tspSoqI3AEeHh48/PDDwNU9wuqkuo7aB8dZLBYcDgfNmjWjefPmDBkyhIqKChYtWkSTJk0YOnQo7u7uzis4aycslHgQaTwU00VEfjtFShGRO0wHkbmO2omHNWvWsGfPHiorK+nQoQOLFy/Gy8uL6OhoAGJjYzEYDERGRl6zSkJEGi/FdBGRX0fJBxERkeuoGVQkJSWRkZFBdHQ0AQEBvP7665SXl/PGG2/QunVroqOjcXNzY+7cubRo0YLevXvXc81FREREGhalakVERH7B3r172bVrF8nJybzyyivcc889AHz++edMmTKF8+fP4+npyahRo1i8eDFPPfVU/VZYREREpAFS8kFEROQXOBwOIiIiCAkJYd++fUybNo2ZM2eyceNGjh8/Tnx8PD/88ANNmzZl0KBBzlstREREROT/KPkgIiLy/9nt9ms+e+KJJ+jTpw/l5eWsXLmSqKgoIiMjadGiBf7+/uzYsYP33nuvThkdPiciIiJSl3pHIiIiUOeqvMLCQnx8fPDw8KB58+b4+/tTVFREcXExISEhAJhMJoKCgkhOTqZ9+/b1WXURERGRBk/JBxERuautWrWK0NBQHn30UQASExPZvn07FouFJ598koiICLp27UrLli2xWCysX7+esrIy1q1bR0VFBYGBgbi5uWGz2XSdpoiIiMh1GBw1l5GLiIjcZQ4fPsz8+fO5//77mTp1KhcuXGDGjBnExcVx4sQJcnNzuXz5MjExMYSGhvLll18yffp0vL298fX1Zc2aNZhMpjpXcoqIiIjItZR8EBGRu9rWrVtJS0vD19eXtm3b4ufnR1RUFABffPEF69ato7i4GLPZTLdu3SgvL6ekpAQ/Pz8MBkOd7RoiIiIi8vM0TSMiInelqqoqAPr378+wYcO4dOkSmZmZVFZWOp8JDQ1lxIgR3HfffSQnJ7N3716aNWuGv78/BoMBu92uxIOIiIjIr6Dkg4iI3HXsdjsmkwmA3bt30717d0aOHImfnx9btmyhoKDA+WxoaCgjR47EYDCQk5NT53u01UJERETk19G2CxERuas4HA4MBgMASUlJZGRkMGHCBEaMGMG2bdtYt24dPj4+xMTE0LFjR2e5/Px8OnXqpISDiIiIyA1Q8kFERO5KK1asYO3ataxatYr27dvj7e0NwM6dO9mwYQOenp7XJCAAHS4pIiIicgPUexIRkbtOSUkJubm5zJo1i6CgICwWCwcOHGD27NlYrVZ69OhBVVUVcXFxnDlzpk5ZJR5EREREfjudkiUiIncdg8HAqVOnKCws5NChQ6xfv56zZ89it9vZs2cPkyZNon///uTl5REQEFDf1RURERFxedp2ISIid6X09HSWLl2KzWZj2LBhhIeHExYWhtlsxtPTk4ULFzqf1VYLERERkZujlQ8iInJXioiIIDw8HKvVSrt27YCrSYaLFy8SFBRU51klHkRERERujlY+iIjIXa+8vJyCggJSU1M5d+4cmZmZGI3Kz4uIiIjcKprKERGRu5rD4eDYsWOkpqZSVVVFRkYGRqMRm81W31UTERERaTS08kFERO56VquVU6dO0bFjR9zc3KiurtbKBxEREZFbSMkHERGRWnS4pIiIiMitp+SDiIiIiIiIiNxWmtoRERERERERkdtKyQcRERERERERua2UfBARERERERGR20rJBxERERERERG5rZR8EBEREREREZHbSskHEREREREREbmtlHwQERERERERkdtKyQcRERERERERua2UfBARERERERGR20rJBxERERERERG5rf4fTJ3ntf7eKcoAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== Médianes allocation ===\n",
      "            share_asset_fixed_income  share_asset_diversified  share_asset_equity  share_fund_carmignac_patrimoine  share_fund_carmignac_investissement  share_fund_carmignac_sécurité  share_fund_carmignac_emergents\n",
      "cluster_k4                                                                                                                                                                                                            \n",
      "0                              0.767                    0.000               0.000                            0.000                                0.000                          0.000                           0.000\n",
      "1                              0.284                    0.207               0.155                            0.152                                0.011                          0.018                           0.002\n",
      "2                              0.000                    0.372               0.227                            0.255                                0.000                          0.000                           0.000\n",
      "3                              0.000                    0.326               0.099                            0.169                                0.000                          0.000                           0.000\n"
     ]
    }
   ],
   "source": [
    "# ============================================================\n",
    "# Feature selection & preprocessing \n",
    "# ============================================================\n",
    "base_features = [\n",
    "    \"flow_freq\",\n",
    "    \"gross_flow_to_aum\",\n",
    "    \"n_isin_total\",\n",
    "    \"avg_holding_months_per_isin\",\n",
    "    \"exit_rate_per_isin\",\n",
    "    \"flow_direction_balance\",\n",
    "    \"log_aum_qty_mean\",\n",
    "    \"months_since_last_tx\",\n",
    "]\n",
    "all_features = [c for c in base_features if c in dfc.columns]\n",
    "\n",
    "dfc_clean = dfc.copy()\n",
    "\n",
    "# --- Diagnostic préalable ---\n",
    "vals_ff = dfc_clean[\"flow_freq\"].to_numpy(dtype=float)\n",
    "print(f\"flow_freq — min={vals_ff.min():.4f}, max={vals_ff.max():.4f}, \"\n",
    "      f\"valeurs > 1 : {(vals_ff > 1).sum()}\")\n",
    "\n",
    "# --- Imputation des NaN par 0 ---\n",
    "for col in [\"flow_direction_balance\", \"months_since_last_tx\"]:\n",
    "    if col in dfc_clean.columns:\n",
    "        dfc_clean[col] = dfc_clean[col].fillna(0)\n",
    "\n",
    "# --- Groupe 1 : clip MAD 3 sigma ---\n",
    "for col in [\n",
    "    \"n_isin_total\",\n",
    "    \"exit_rate_per_isin\",\n",
    "    \"avg_holding_months_per_isin\",\n",
    "    \"months_since_last_tx\",\n",
    "]:\n",
    "    if col not in dfc_clean.columns:\n",
    "        continue\n",
    "    vals = dfc_clean[col].to_numpy(dtype=float)\n",
    "    med = np.nanmedian(vals)\n",
    "    mad = np.nanmedian(np.abs(vals - med)) * 1.4826\n",
    "    if mad > 0:\n",
    "        dfc_clean[col] = np.clip(vals, med - 3*mad, med + 3*mad)\n",
    "    else:\n",
    "        dfc_clean[col] = np.clip(vals, 0, np.nanpercentile(vals, 95))\n",
    "\n",
    "# --- Groupe 2 : clip p90 puis log-transform ---\n",
    "col = \"gross_flow_to_aum\"\n",
    "if col in dfc_clean.columns:\n",
    "    vals = dfc_clean[col].to_numpy(dtype=float)\n",
    "    vals = np.clip(vals, 0, np.nanpercentile(vals, 90))\n",
    "    dfc_clean[col] = np.log1p(vals)\n",
    "\n",
    "col = \"flow_freq\"\n",
    "if col in dfc_clean.columns:\n",
    "    vals = dfc_clean[col].to_numpy(dtype=float)\n",
    "    dfc_clean[col] = np.log1p(np.clip(vals, 0, None))\n",
    "\n",
    "# --- Groupe 3 : log_aum_qty_mean — clip MAD 3 sigma ---\n",
    "col = \"log_aum_qty_mean\"\n",
    "if col in dfc_clean.columns:\n",
    "    vals = dfc_clean[col].to_numpy(dtype=float)\n",
    "    med = np.nanmedian(vals)\n",
    "    mad = np.nanmedian(np.abs(vals - med)) * 1.4826\n",
    "    dfc_clean[col] = np.clip(vals, med - 3*mad, med + 3*mad)\n",
    "\n",
    "# --- Groupe 4 : hhi_isin — clip p90 ---\n",
    "col = \"hhi_isin\"\n",
    "if col in dfc_clean.columns:\n",
    "    vals = dfc_clean[col].to_numpy(dtype=float)\n",
    "    dfc_clean[col] = np.clip(vals, 0, np.nanpercentile(vals, 90))\n",
    "\n",
    "# --- Construction de X ---\n",
    "X_num = dfc_clean[all_features].copy()\n",
    "X_num = X_num.loc[:, ~X_num.columns.duplicated()]\n",
    "X_num = X_num.fillna(X_num.median())\n",
    "\n",
    "X_cat = pd.get_dummies(\n",
    "    dfc_clean[[\"country_grp\", \"region_grp\"]].fillna(\"Unknown\"), drop_first=True\n",
    ")\n",
    "X = X_num.reset_index(drop=True)\n",
    "\n",
    "scaler   = RobustScaler()\n",
    "X_scaled = scaler.fit_transform(X)\n",
    "\n",
    "# --- Diagnostic ---\n",
    "X_df = pd.DataFrame(X_scaled, columns=X.columns)\n",
    "extreme = (X_df.abs() > 5).any(axis=1).sum()\n",
    "print(f\"Accounts: {X.shape[0]} | Features: {X.shape[1]}\")\n",
    "print(f\"Points > 5 std after scaling: {extreme} ({extreme/len(X_df):.1%})\")\n",
    "\n",
    "extreme_by_feat = (X_df.abs() > 5).sum().sort_values(ascending=False)\n",
    "print(\"\\nFeatures with most extreme values (>5 std):\")\n",
    "print(extreme_by_feat[extreme_by_feat > 0].to_string())\n",
    "\n",
    "# --- Clustering K=4 ---\n",
    "RESULTS = {}\n",
    "for k in [4]:\n",
    "    km = KMeans(n_clusters=k, n_init=50, random_state=RANDOM_STATE)\n",
    "    dfc[f\"cluster_k{k}\"] = km.fit_predict(X_scaled)\n",
    "    RESULTS[k] = {\n",
    "        \"model\":          km,\n",
    "        \"silhouette\":     silhouette_score(X_scaled, dfc[f\"cluster_k{k}\"]),\n",
    "        \"davies_bouldin\": davies_bouldin_score(X_scaled, dfc[f\"cluster_k{k}\"]),\n",
    "    }\n",
    "    print(f\"\\nK={k} | sil={RESULTS[k]['silhouette']:.4f} | db={RESULTS[k]['davies_bouldin']:.4f}\")\n",
    "\n",
    "print(\"\\n=== Tailles des clusters ===\")\n",
    "counts = dfc[\"cluster_k4\"].value_counts().sort_index()\n",
    "props  = counts / counts.sum() * 100\n",
    "print(pd.DataFrame({\"n_comptes\": counts, \"pct\": props.round(1)}))\n",
    "\n",
    "# --- Heatmap comportement ---\n",
    "profile_vars_behavior = [\n",
    "    \"gross_flow_to_aum\",\n",
    "    \"flow_freq\",\n",
    "    \"flow_direction_balance\",\n",
    "    \"n_isin_total\",\n",
    "    \"avg_holding_months_per_isin\",\n",
    "    \"exit_rate_per_isin\",\n",
    "    \"log_aum_qty_mean\",\n",
    "    \"months_since_last_tx\",\n",
    "]\n",
    "profile_vars_behavior = [c for c in profile_vars_behavior if c in dfc.columns]\n",
    "\n",
    "prof_behavior = plot_heatmap(\n",
    "    dfc, profile_vars_behavior, \"cluster_k4\",\n",
    "    title=\"Cluster signatures — Comportement (K=4, robust z-score)\",\n",
    "    figsize=(14, 4)\n",
    ")\n",
    "\n",
    "print(\"\\n=== Médianes comportement ===\")\n",
    "print(prof_behavior.round(3).to_string())\n",
    "\n",
    "# --- Heatmap allocation (post-clustering, descriptive uniquement) ---\n",
    "profile_vars_allocation = [\n",
    "    c for c in [\n",
    "        \"share_asset_fixed_income\",\n",
    "        \"share_asset_diversified\",\n",
    "        \"share_asset_equity\",\n",
    "        \"share_fund_carmignac_patrimoine\",\n",
    "        \"share_fund_carmignac_investissement\",\n",
    "        \"share_fund_carmignac_sécurité\",\n",
    "        \"share_fund_carmignac_emergents\",\n",
    "    ]\n",
    "    if c in dfc.columns\n",
    "]\n",
    "\n",
    "prof_allocation = plot_heatmap(\n",
    "    dfc, profile_vars_allocation, \"cluster_k4\",\n",
    "    title=\"Cluster signatures — Allocation produits (K=4, descriptif post-clustering)\",\n",
    "    figsize=(12, 4)\n",
    ")\n",
    "\n",
    "print(\"\\n=== Médianes allocation ===\")\n",
    "print(prof_allocation.round(3).to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "85747735-d0b4-4aa7-9fc2-adf030f92286",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            n_comptes   pct\n",
      "cluster_k4                 \n",
      "0                2708  37.7\n",
      "1                1174  16.4\n",
      "2                1476  20.6\n",
      "3                1821  25.4\n"
     ]
    }
   ],
   "source": [
    "counts = dfc[\"cluster_k4\"].value_counts().sort_index()\n",
    "props  = counts / counts.sum() * 100\n",
    "print(pd.DataFrame({\"n_comptes\": counts, \"pct\": props.round(1)}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "dc171be2-e066-4352-a0ea-32d7b7b046b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " k      inertia  silhouette  davies_bouldin\n",
      " 2 20206.150896    0.422448        0.971224\n",
      " 3 16684.870723    0.241253        1.542920\n",
      " 4 14655.878131    0.231172        1.510868\n",
      " 5 13189.616061    0.228827        1.408857\n",
      " 6 11997.575028    0.223735        1.416454\n",
      " 7 11089.241350    0.229848        1.419999\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "K=4 | sil=0.2312 | db=1.5109\n",
      "            n_comptes   pct\n",
      "cluster_k4                 \n",
      "0                2708  37.7\n",
      "1                1174  16.4\n",
      "2                1476  20.6\n",
      "3                1821  25.4\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== Médianes comportement K=4 ===\n",
      "            gross_flow_to_aum  flow_freq  flow_direction_balance  n_isin_total  avg_holding_months_per_isin  exit_rate_per_isin  log_aum_qty_mean  months_since_last_tx\n",
      "cluster_k4                                                                                                                                                             \n",
      "0                       7.884      0.071                   0.000           1.0                       11.333               1.000             5.280                  69.0\n",
      "1                       5.348      0.617                  -0.006          12.0                       28.924               0.667             8.768                   3.0\n",
      "2                       1.159      0.043                  -1.000           3.0                       60.000               0.400             5.167                  27.0\n",
      "3                       1.477      0.012                  -1.000           3.0                       12.000               0.714             3.407                 127.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== Médianes allocation K=4 ===\n",
      "            share_asset_fixed_income  share_asset_diversified  share_asset_equity  share_fund_carmignac_patrimoine  share_fund_carmignac_investissement  share_fund_carmignac_sécurité  share_fund_carmignac_emergents\n",
      "cluster_k4                                                                                                                                                                                                            \n",
      "0                              0.767                    0.000               0.000                            0.000                                0.000                          0.000                           0.000\n",
      "1                              0.284                    0.207               0.155                            0.152                                0.011                          0.018                           0.002\n",
      "2                              0.000                    0.372               0.227                            0.255                                0.000                          0.000                           0.000\n",
      "3                              0.000                    0.326               0.099                            0.169                                0.000                          0.000                           0.000\n",
      "\n",
      "=== Distribution par pays (top 10) ===\n",
      "country_grp  Belgium  FRANCE  France  Italy  Latam  Luxembourg  Other  Spain  Switzerland  United Kingdom  Us Offshore\n",
      "cluster_k4                                                                                                            \n",
      "0                1.5     0.1    17.1    5.0   12.5         6.1    3.0    5.0          3.6             6.6         39.4\n",
      "1                3.9     8.3    32.1   12.7    0.8         4.6   17.7    6.7          4.5             8.3          0.3\n",
      "2                0.9     0.5    69.6    2.8   10.0         1.4    3.9    1.6          2.2             6.7          0.5\n",
      "3                2.0     0.0    53.0    4.2    2.9         5.1    7.2    2.1          7.3            10.8          5.3\n",
      "\n",
      "=== Distribution par région ===\n",
      "region_grp  Belgium  FRANCE  France  Germany  Italy  LATAM  Luxembourg  Other  Spain  Switzerland  United Kingdom\n",
      "cluster_k4                                                                                                       \n",
      "0               1.5     0.1    17.2      0.6    5.0   52.0         6.1    1.9    5.2          3.6             6.7\n",
      "1               3.9     8.4    32.5      1.2   12.7    1.2         4.6   15.5    7.2          4.5             8.3\n",
      "2               0.9     0.5    69.8      0.9    2.8   10.6         1.4    2.5    1.7          2.2             6.8\n",
      "3               2.0     0.0    53.0      4.3    4.2    8.2         5.1    2.6    2.3          7.3            10.9\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ============================================================\n",
    "# K-selection diagnostics\n",
    "# ============================================================\n",
    "rows = []\n",
    "for k in range(2, 8):\n",
    "    km = KMeans(n_clusters=k, n_init=50, random_state=RANDOM_STATE)\n",
    "    labels = km.fit_predict(X_scaled)\n",
    "    rows.append({\n",
    "        \"k\":              k,\n",
    "        \"inertia\":        km.inertia_,\n",
    "        \"silhouette\":     silhouette_score(X_scaled, labels),\n",
    "        \"davies_bouldin\": davies_bouldin_score(X_scaled, labels),\n",
    "    })\n",
    "df_kdiag = pd.DataFrame(rows)\n",
    "print(df_kdiag.to_string(index=False))\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
    "for ax, col, title in zip(axes,\n",
    "    [\"inertia\", \"silhouette\", \"davies_bouldin\"],\n",
    "    [\"Elbow / Inertia\", \"Silhouette (higher=better)\", \"Davies-Bouldin (lower=better)\"]):\n",
    "    ax.plot(df_kdiag[\"k\"], df_kdiag[col], marker=\"o\")\n",
    "    ax.set_title(title)\n",
    "    ax.set_xlabel(\"K\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# ============================================================\n",
    "# Clustering K=4\n",
    "# ============================================================\n",
    "RESULTS = {}\n",
    "for k in [4]:\n",
    "    km = KMeans(n_clusters=k, n_init=50, random_state=RANDOM_STATE)\n",
    "    dfc[f\"cluster_k{k}\"] = km.fit_predict(X_scaled)\n",
    "    RESULTS[k] = {\n",
    "        \"model\":          km,\n",
    "        \"silhouette\":     silhouette_score(X_scaled, dfc[f\"cluster_k{k}\"]),\n",
    "        \"davies_bouldin\": davies_bouldin_score(X_scaled, dfc[f\"cluster_k{k}\"]),\n",
    "    }\n",
    "    print(f\"K={k} | sil={RESULTS[k]['silhouette']:.4f} | db={RESULTS[k]['davies_bouldin']:.4f}\")\n",
    "    counts = dfc[f\"cluster_k{k}\"].value_counts().sort_index()\n",
    "    props  = counts / counts.sum() * 100\n",
    "    print(pd.DataFrame({\"n_comptes\": counts, \"pct\": props.round(1)}))\n",
    "    print()\n",
    "\n",
    "# ============================================================\n",
    "# Heatmap comportement\n",
    "# ============================================================\n",
    "prof_behavior = plot_heatmap(\n",
    "    dfc, profile_vars_behavior, \"cluster_k4\",\n",
    "    title=\"Cluster signatures — Comportement (K=4, robust z-score)\",\n",
    "    figsize=(14, 4)\n",
    ")\n",
    "print(\"\\n=== Médianes comportement K=4 ===\")\n",
    "print(prof_behavior.round(3).to_string())\n",
    "\n",
    "# ============================================================\n",
    "# Heatmap allocation (descriptif post-clustering)\n",
    "# ============================================================\n",
    "prof_allocation = plot_heatmap(\n",
    "    dfc, profile_vars_allocation, \"cluster_k4\",\n",
    "    title=\"Cluster signatures — Allocation produits (K=4, descriptif post-clustering)\",\n",
    "    figsize=(12, 4)\n",
    ")\n",
    "print(\"\\n=== Médianes allocation K=4 ===\")\n",
    "print(prof_allocation.round(3).to_string())\n",
    "\n",
    "# ============================================================\n",
    "# Description géographique post-clustering\n",
    "# ============================================================\n",
    "print(\"\\n=== Distribution par pays (top 10) ===\")\n",
    "geo_country = pd.crosstab(\n",
    "    dfc[\"cluster_k4\"],\n",
    "    dfc[\"country_grp\"].fillna(\"Unknown\"),\n",
    "    normalize=\"index\"\n",
    ").round(3) * 100\n",
    "print(geo_country.to_string())\n",
    "\n",
    "print(\"\\n=== Distribution par région ===\")\n",
    "geo_region = pd.crosstab(\n",
    "    dfc[\"cluster_k4\"],\n",
    "    dfc[\"region_grp\"].fillna(\"Unknown\"),\n",
    "    normalize=\"index\"\n",
    ").round(3) * 100\n",
    "print(geo_region.to_string())\n",
    "\n",
    "# Visualisation heatmap géographique\n",
    "fig, axes = plt.subplots(1, 2, figsize=(18, 4))\n",
    "\n",
    "sns.heatmap(\n",
    "    geo_country,\n",
    "    cmap=\"Blues\", annot=True, fmt=\".1f\",\n",
    "    ax=axes[0],\n",
    "    cbar_kws={\"label\": \"%\"}\n",
    ")\n",
    "axes[0].set_title(\"Distribution par pays (% par cluster)\")\n",
    "axes[0].set_xlabel(\"Pays\")\n",
    "axes[0].set_ylabel(\"Cluster\")\n",
    "\n",
    "sns.heatmap(\n",
    "    geo_region,\n",
    "    cmap=\"Blues\", annot=True, fmt=\".1f\",\n",
    "    ax=axes[1],\n",
    "    cbar_kws={\"label\": \"%\"}\n",
    ")\n",
    "axes[1].set_title(\"Distribution par région (% par cluster)\")\n",
    "axes[1].set_xlabel(\"Région\")\n",
    "axes[1].set_ylabel(\"Cluster\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "50ecf35e-de7e-44ae-afee-404186c4d42c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                             flow_freq  gross_flow_to_aum  n_isin_total  \\\n",
      "flow_freq                        1.000              0.043         0.484   \n",
      "gross_flow_to_aum                0.043              1.000         0.087   \n",
      "n_isin_total                     0.484              0.087         1.000   \n",
      "avg_holding_months_per_isin      0.074             -0.019         0.027   \n",
      "exit_rate_per_isin              -0.066             -0.029        -0.103   \n",
      "flow_direction_balance           0.182              0.007         0.038   \n",
      "log_aum_qty_mean                 0.522             -0.047         0.381   \n",
      "months_since_last_tx            -0.513             -0.012        -0.229   \n",
      "\n",
      "                             avg_holding_months_per_isin  exit_rate_per_isin  \\\n",
      "flow_freq                                          0.074              -0.066   \n",
      "gross_flow_to_aum                                 -0.019              -0.029   \n",
      "n_isin_total                                       0.027              -0.103   \n",
      "avg_holding_months_per_isin                        1.000              -0.257   \n",
      "exit_rate_per_isin                                -0.257               1.000   \n",
      "flow_direction_balance                            -0.163               0.093   \n",
      "log_aum_qty_mean                                   0.140               0.024   \n",
      "months_since_last_tx                              -0.306               0.159   \n",
      "\n",
      "                             flow_direction_balance  log_aum_qty_mean  \\\n",
      "flow_freq                                     0.182             0.522   \n",
      "gross_flow_to_aum                             0.007            -0.047   \n",
      "n_isin_total                                  0.038             0.381   \n",
      "avg_holding_months_per_isin                  -0.163             0.140   \n",
      "exit_rate_per_isin                            0.093             0.024   \n",
      "flow_direction_balance                        1.000             0.298   \n",
      "log_aum_qty_mean                              0.298             1.000   \n",
      "months_since_last_tx                         -0.119            -0.389   \n",
      "\n",
      "                             months_since_last_tx  \n",
      "flow_freq                                  -0.513  \n",
      "gross_flow_to_aum                          -0.012  \n",
      "n_isin_total                               -0.229  \n",
      "avg_holding_months_per_isin                -0.306  \n",
      "exit_rate_per_isin                          0.159  \n",
      "flow_direction_balance                     -0.119  \n",
      "log_aum_qty_mean                           -0.389  \n",
      "months_since_last_tx                        1.000  \n"
     ]
    }
   ],
   "source": [
    "# Test : corrélations entre features\n",
    "corr_matrix = dfc[base_features].corr().round(3)\n",
    "print(corr_matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "273392b8-c60c-4b19-ab4e-760616d3c246",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "base_features: 8\n",
      "share_asset: []\n",
      "share_fund: []\n",
      "X columns: 8\n",
      "X_num columns: 8\n",
      "X_cat columns: 20\n"
     ]
    }
   ],
   "source": [
    "print(\"base_features:\", len(base_features))\n",
    "print(\"share_asset:\", [c for c in all_features if c.startswith(\"share_asset_\")])\n",
    "print(\"share_fund:\", [c for c in all_features if c.startswith(\"share_fund_\")])\n",
    "print(\"X columns:\", X.shape[1])\n",
    "print(\"X_num columns:\", X_num.shape[1])\n",
    "print(\"X_cat columns:\", X_cat.shape[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "d42b5319-c66c-4a7f-aeac-d3044d07f499",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== share_fund_ disponibles ===\n",
      "['share_fund_carmignac_court_terme', 'share_fund_carmignac_emergents', 'share_fund_carmignac_investissement', 'share_fund_carmignac_patrimoine', 'share_fund_carmignac_portfolio_credit', 'share_fund_carmignac_portfolio_flexible_b', 'share_fund_carmignac_portfolio_global_bon', 'share_fund_carmignac_portfolio_patrimoine', 'share_fund_carmignac_portfolio_sécurité', 'share_fund_carmignac_sécurité']\n",
      "\n",
      "=== share_asset_ disponibles ===\n",
      "['share_asset_alternative', 'share_asset_diversified', 'share_asset_equity', 'share_asset_fixed_income', 'share_asset_private_assets']\n",
      "share_fund_carmignac_court_terme: 0.000000\n",
      "share_fund_carmignac_emergents: 0.000001\n",
      "share_fund_carmignac_investissement: 0.000032\n",
      "share_fund_carmignac_patrimoine: 0.011248\n",
      "share_fund_carmignac_portfolio_credit: 0.000000\n",
      "share_fund_carmignac_portfolio_flexible_b: 0.000000\n",
      "share_fund_carmignac_portfolio_global_bon: 0.000000\n",
      "share_fund_carmignac_portfolio_patrimoine: 0.000000\n",
      "share_fund_carmignac_portfolio_sécurité: 0.000000\n",
      "share_fund_carmignac_sécurité: 0.000080\n",
      "share_asset_alternative: 0.000000\n",
      "share_asset_diversified: 0.027594\n",
      "share_asset_equity: 0.009158\n",
      "share_asset_fixed_income: 0.130769\n",
      "share_asset_private_assets: 0.000000\n"
     ]
    }
   ],
   "source": [
    "# Identifier les share_fund_ et share_asset_ les plus discriminantes\n",
    "top_share_funds = [c for c in dfc.columns if c.startswith(\"share_fund_\")]\n",
    "top_share_assets = [c for c in dfc.columns if c.startswith(\"share_asset_\")]\n",
    "\n",
    "# Regarder lesquelles varient le plus entre clusters\n",
    "print(\"=== share_fund_ disponibles ===\")\n",
    "print(top_share_funds)\n",
    "print(\"\\n=== share_asset_ disponibles ===\")\n",
    "print(top_share_assets)\n",
    "\n",
    "# Variance inter-cluster pour chaque share variable\n",
    "for col in top_share_funds + top_share_assets:\n",
    "    var_inter = dfc.groupby(\"cluster_k4\")[col].median().var()\n",
    "    print(f\"{col}: {var_inter:.6f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7de1a58e-37ec-4d13-9807-5b047ec6ff42",
   "metadata": {},
   "outputs": [],
   "source": [
    "import subprocess\n",
    "subprocess.run([\"jupyter\", \"nbconvert\", \"--to\", \"html\", \"clustering_clean.ipynb\"])"
   ]
  }
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