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-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# DVF Data Exploration & Price Estimation Pipeline\n",
-    "\n",
-    "Analysis of French residential property prices using [DVF geolocalized data](https://www.data.gouv.fr/datasets/demandes-de-valeurs-foncieres-geolocalisees/) (Demandes de Valeurs Foncières).\n",
-    "\n",
-    "**Goal**: Build a robust price-per-m² estimation at 6 geographic levels (Country → Region → Department → Commune → Postcode → Cadastral Section) using a time-weighted trimmed mean.\n",
-    "\n",
-    "**Pipeline**: Download → Explore → Clean → Estimate Prices → Aggregate → Validate → Export\n",
-    "\n",
-    "---\n",
-    "\n",
-    "### Table of Contents\n",
-    "\n",
-    "1. [Setup](#1.-Setup)\n",
-    "2. [Raw Data Exploration (Single Year)](#2.-Raw-Data-Exploration)\n",
-    "3. [Data Cleaning Pipeline (Single Year Demo)](#3.-Data-Cleaning-Pipeline)\n",
-    "4. [Full Pipeline (All Years)](#4.-Full-Pipeline)\n",
-    "5. [Price Estimation Methodology](#5.-Price-Estimation-Methodology)\n",
-    "6. [Aggregation at 6 Geographic Levels](#6.-Aggregation)\n",
-    "7. [Top 10 Cities by Property Type](#7.-Top-10-Cities)\n",
-    "8. [Validation Against External Sources](#8.-Validation)\n",
-    "9. [Export & Pipeline Summary](#9.-Export-&-Summary)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## 1. Setup"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Project root: /home/abhishek/Downloads/work/documentation/realadvisor\n",
-      "Years: [2020, 2021, 2022, 2023, 2024, 2025]\n",
-      "Property types: ['Appartement', 'Maison']\n",
-      "Temporal decay: λ=0.97 (half-life ≈23 months)\n",
-      "Trim fraction: 20% from each tail\n",
-      "Price bounds: [200, 25000] €/m²\n",
-      "Surface bounds: [9, 1000] m²\n"
-     ]
-    }
-   ],
-   "source": [
-    "import sys, time\n",
-    "from pathlib import Path\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import polars as pl\n",
-    "\n",
-    "# Add project root to path (works whether CWD is notebooks/ or project root)\n",
-    "PROJECT_ROOT = Path.cwd() if (Path.cwd() / 'src').exists() else Path.cwd().parent\n",
-    "sys.path.insert(0, str(PROJECT_ROOT))\n",
-    "\n",
-    "from src.config import (\n",
-    "    DATA_DIR, RAW_DIR, PROCESSED_DIR, AGGREGATED_DIR,\n",
-    "    DVF_YEARS, DVF_COLUMNS, VALID_TYPE_LOCAL, TYPE_LOCAL_SHORT,\n",
-    "    TEMPORAL_LAMBDA, TRIM_FRACTION, PRICE_M2_MIN, PRICE_M2_MAX,\n",
-    "    SURFACE_MIN, SURFACE_MAX, DEPT_TO_REGION, REGION_NAMES,\n",
-    "    NO_DVF_DEPARTMENTS, TOP_10_CITIES, ARRONDISSEMENT_MAPPING,\n",
-    ")\n",
-    "\n",
-    "timings = {}\n",
-    "print(f'Project root: {PROJECT_ROOT}')\n",
-    "print(f'Years: {DVF_YEARS}')\n",
-    "print(f'Property types: {VALID_TYPE_LOCAL}')\n",
-    "print(f'Temporal decay: λ={TEMPORAL_LAMBDA} (half-life ≈{abs(np.log(2)/np.log(TEMPORAL_LAMBDA)):.0f} months)')\n",
-    "print(f'Trim fraction: {TRIM_FRACTION*100:.0f}% from each tail')\n",
-    "print(f'Price bounds: [{PRICE_M2_MIN}, {PRICE_M2_MAX}] €/m²')\n",
-    "print(f'Surface bounds: [{SURFACE_MIN}, {SURFACE_MAX}] m²')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## 1.1 Download DVF Data\n",
-    "\n",
-    "DVF geolocalized CSVs from [data.gouv.fr](https://files.data.gouv.fr/geo-dvf/latest/csv/). Each year is ~500MB compressed."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We use cached downloads — files are only fetched if not already present in `data/raw/`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
-      "Download: 0.0s\n",
-      "  dvf_2020.csv: 358 MB\n",
-      "  dvf_2021.csv: 814 MB\n",
-      "  dvf_2022.csv: 815 MB\n",
-      "  dvf_2023.csv: 662 MB\n",
-      "  dvf_2024.csv: 606 MB\n",
-      "  dvf_2025.csv: 240 MB\n"
-     ]
-    }
-   ],
-   "source": [
-    "from src.downloader import download_all\n",
-    "\n",
-    "t0 = time.time()\n",
-    "csv_paths = download_all(DVF_YEARS)\n",
-    "timings['download'] = time.time() - t0\n",
-    "\n",
-    "print(f'\\nDownload: {timings[\"download\"]:.1f}s')\n",
-    "for p in csv_paths:\n",
-    "    print(f'  {p.name}: {p.stat().st_size / 1e6:.0f} MB')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "File: dvf_2025.csv\n",
-      "Sample: 100,000 rows, 16 columns\n",
-      "\n",
-      "Columns:\n",
-      "  id_mutation                String           nulls:      0 (0.0%)\n",
-      "  date_mutation              String           nulls:      0 (0.0%)\n",
-      "  nature_mutation            String           nulls:      0 (0.0%)\n",
-      "  valeur_fonciere            Float64          nulls:    241 (0.2%)\n",
-      "  code_postal                String           nulls:    717 (0.7%)\n",
-      "  code_commune               String           nulls:      0 (0.0%)\n",
-      "  nom_commune                String           nulls:      0 (0.0%)\n",
-      "  code_departement           String           nulls:      0 (0.0%)\n",
-      "  id_parcelle                String           nulls:      0 (0.0%)\n",
-      "  code_type_local            String           nulls: 37,824 (37.8%)\n",
-      "  type_local                 String           nulls: 37,824 (37.8%)\n",
-      "  surface_reelle_bati        Int64            nulls: 68,661 (68.7%)\n",
-      "  nombre_pieces_principales  Int64            nulls: 37,881 (37.9%)\n",
-      "  nombre_lots                Int64            nulls:      0 (0.0%)\n",
-      "  longitude                  Float64          nulls:    269 (0.3%)\n",
-      "  latitude                   Float64          nulls:    269 (0.3%)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Quick look at the raw data structure\n",
-    "from src.cleaner import load_raw_csv\n",
-    "\n",
-    "latest = csv_paths[-1]\n",
-    "lf = load_raw_csv(latest)\n",
-    "df_sample = lf.head(100_000).collect()\n",
-    "\n",
-    "print(f'File: {latest.name}')\n",
-    "print(f'Sample: {len(df_sample):,} rows, {len(df_sample.columns)} columns')\n",
-    "print(f'\\nColumns:')\n",
-    "for col in df_sample.columns:\n",
-    "    dtype = df_sample[col].dtype\n",
-    "    nulls = df_sample[col].null_count()\n",
-    "    pct = nulls / len(df_sample) * 100\n",
-    "    print(f'  {col:25s}  {str(dtype):15s}  nulls: {nulls:>6,} ({pct:.1f}%)')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (5, 16)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id_mutation</th><th>date_mutation</th><th>nature_mutation</th><th>valeur_fonciere</th><th>code_postal</th><th>code_commune</th><th>nom_commune</th><th>code_departement</th><th>id_parcelle</th><th>code_type_local</th><th>type_local</th><th>surface_reelle_bati</th><th>nombre_pieces_principales</th><th>nombre_lots</th><th>longitude</th><th>latitude</th></tr><tr><td>str</td><td>str</td><td>str</td><td>f64</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;2025-1&quot;</td><td>&quot;2025-01-07&quot;</td><td>&quot;Vente&quot;</td><td>468000.0</td><td>&quot;01550&quot;</td><td>&quot;01158&quot;</td><td>&quot;Farges&quot;</td><td>&quot;01&quot;</td><td>&quot;011580000B0815&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>0</td><td>5.907229</td><td>46.170923</td></tr><tr><td>&quot;2025-1&quot;</td><td>&quot;2025-01-07&quot;</td><td>&quot;Vente&quot;</td><td>468000.0</td><td>&quot;01550&quot;</td><td>&quot;01158&quot;</td><td>&quot;Farges&quot;</td><td>&quot;01&quot;</td><td>&quot;011580000B0910&quot;</td><td>&quot;1&quot;</td><td>&quot;Maison&quot;</td><td>111</td><td>5</td><td>0</td><td>5.907186</td><td>46.170782</td></tr><tr><td>&quot;2025-1&quot;</td><td>&quot;2025-01-07&quot;</td><td>&quot;Vente&quot;</td><td>468000.0</td><td>&quot;01550&quot;</td><td>&quot;01158&quot;</td><td>&quot;Farges&quot;</td><td>&quot;01&quot;</td><td>&quot;011580000B0910&quot;</td><td>&quot;3&quot;</td><td>&quot;Dépendance&quot;</td><td>null</td><td>0</td><td>0</td><td>5.907186</td><td>46.170782</td></tr><tr><td>&quot;2025-2&quot;</td><td>&quot;2025-01-06&quot;</td><td>&quot;Vente&quot;</td><td>180000.0</td><td>&quot;01200&quot;</td><td>&quot;01257&quot;</td><td>&quot;Montanges&quot;</td><td>&quot;01&quot;</td><td>&quot;01257000AC0334&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>0</td><td>5.801623</td><td>46.164573</td></tr><tr><td>&quot;2025-2&quot;</td><td>&quot;2025-01-06&quot;</td><td>&quot;Vente&quot;</td><td>180000.0</td><td>&quot;01200&quot;</td><td>&quot;01257&quot;</td><td>&quot;Montanges&quot;</td><td>&quot;01&quot;</td><td>&quot;01257000AC0338&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>0</td><td>5.801676</td><td>46.16461</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (5, 16)\n",
-       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
-       "│ id_mutati ┆ date_muta ┆ nature_mu ┆ valeur_fo ┆ … ��� nombre_pi ┆ nombre_lo ┆ longitude ┆ latitude │\n",
-       "│ on        ┆ tion      ┆ tation    ┆ nciere    ┆   ┆ eces_prin ┆ ts        ┆ ---       ┆ ---      │\n",
-       "│ ---       ┆ ---       ┆ ---       ┆ ---       ┆   ┆ cipales   ┆ ---       ┆ f64       ┆ f64      │\n",
-       "│ str       ┆ str       ┆ str       ┆ f64       ┆   ┆ ---       ┆ i64       ┆           ┆          │\n",
-       "│           ┆           ┆           ┆           ┆   ┆ i64       ┆           ┆           ┆          │\n",
-       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
-       "│ 2025-1    ┆ 2025-01-0 ┆ Vente     ┆ 468000.0  ┆ … ┆ null      ┆ 0         ┆ 5.907229  ┆ 46.17092 │\n",
-       "│           ┆ 7         ┆           ┆           ┆   ┆           ┆           ┆           ┆ 3        │\n",
-       "│ 2025-1    ┆ 2025-01-0 ┆ Vente     ┆ 468000.0  ┆ … ┆ 5         ┆ 0         ┆ 5.907186  ┆ 46.17078 │\n",
-       "│           ┆ 7         ┆           ┆           ┆   ┆           ┆           ┆           ┆ 2        │\n",
-       "│ 2025-1    ┆ 2025-01-0 ┆ Vente     ┆ 468000.0  ┆ … ┆ 0         ┆ 0         ┆ 5.907186  ┆ 46.17078 │\n",
-       "│           ┆ 7         ┆           ┆           ┆   ┆           ┆           ┆           ┆ 2        │\n",
-       "│ 2025-2    ┆ 2025-01-0 ┆ Vente     ┆ 180000.0  ┆ … ┆ null      ┆ 0         ┆ 5.801623  ┆ 46.16457 │\n",
-       "│           ┆ 6         ┆           ┆           ┆   ┆           ┆           ┆           ┆ 3        │\n",
-       "│ 2025-2    ┆ 2025-01-0 ┆ Vente     ┆ 180000.0  ┆ … ┆ null      ┆ 0         ┆ 5.801676  ┆ 46.16461 │\n",
-       "│           ┆ 6         ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_sample.head(5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## 2. Raw Data Exploration (Single Year)\n",
-    "\n",
-    "Key columns for price estimation:\n",
-    "- **valeur_fonciere**: Total transaction price (€) — WARNING: repeated across rows of multi-lot mutations\n",
-    "- **surface_reelle_bati**: Built surface (m²)\n",
-    "- **type_local**: Property type (Appartement, Maison, Dépendance, Local industriel)\n",
-    "- **id_mutation**: Unique transaction ID — critical for deduplication\n",
-    "- **code_commune / code_postal / id_parcelle**: Geographic identifiers"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1800x500 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Price and surface distributions\n",
-    "fig, axes = plt.subplots(1, 3, figsize=(18, 5))\n",
-    "\n",
-    "# Price distribution\n",
-    "prices = df_sample['valeur_fonciere'].drop_nulls().to_list()\n",
-    "axes[0].hist(prices, bins=100, edgecolor='black', alpha=0.7, range=(0, 1_000_000))\n",
-    "axes[0].set_title(f'Transaction Prices (n={len(prices):,})')\n",
-    "axes[0].set_xlabel('Price (€)')\n",
-    "axes[0].axvline(x=np.median(prices), color='red', linestyle='--', label=f'median={np.median(prices):,.0f}€')\n",
-    "axes[0].legend()\n",
-    "\n",
-    "# Surface distribution\n",
-    "surfaces = df_sample['surface_reelle_bati'].drop_nulls().to_list()\n",
-    "axes[1].hist(surfaces, bins=100, edgecolor='black', alpha=0.7, range=(0, 500))\n",
-    "axes[1].set_title(f'Built Surface (n={len(surfaces):,})')\n",
-    "axes[1].set_xlabel('Surface (m²)')\n",
-    "axes[1].axvline(x=np.median(surfaces), color='red', linestyle='--', label=f'median={np.median(surfaces):,.0f}m²')\n",
-    "axes[1].legend()\n",
-    "\n",
-    "# Property type breakdown\n",
-    "type_counts = df_sample.group_by('type_local').len().sort('len', descending=True)\n",
-    "types = type_counts['type_local'].to_list()\n",
-    "counts = type_counts['len'].to_list()\n",
-    "colors = ['#2ecc71', '#3498db', '#e74c3c', '#f39c12', '#95a5a6']\n",
-    "axes[2].barh(range(len(types)), counts, color=colors[:len(types)])\n",
-    "axes[2].set_yticks(range(len(types)))\n",
-    "axes[2].set_yticklabels(types)\n",
-    "axes[2].set_title('Property Types')\n",
-    "axes[2].set_xlabel('Count')\n",
-    "for i, (t, c) in enumerate(zip(types, counts)):\n",
-    "    axes[2].text(c + max(counts)*0.01, i, f'{c:,} ({c/len(df_sample)*100:.1f}%)', va='center')\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Residential transactions: 28,458 / 100,000 (28.5%)\n",
-      "  Appartement: 16,433\n",
-      "  Maison:      12,025\n",
-      "\n",
-      "Naive price/m² (before dedup, will be wrong for multi-lot):\n",
-      "  Median: 3,332 €/m²\n",
-      "  Mean:   7,077 €/m²\n",
-      "  Q1-Q3:  [1,761, 5,351] €/m²\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Key statistics\n",
-    "residential = df_sample.filter(pl.col('type_local').is_in(VALID_TYPE_LOCAL))\n",
-    "print(f'Residential transactions: {len(residential):,} / {len(df_sample):,} ({len(residential)/len(df_sample)*100:.1f}%)')\n",
-    "print(f'  Appartement: {len(residential.filter(pl.col(\"type_local\") == \"Appartement\")):,}')\n",
-    "print(f'  Maison:      {len(residential.filter(pl.col(\"type_local\") == \"Maison\")):,}')\n",
-    "\n",
-    "# Quick price/m² (naive, before dedup)\n",
-    "res_valid = residential.filter(\n",
-    "    pl.col('valeur_fonciere').is_not_null() & pl.col('surface_reelle_bati').is_not_null() &\n",
-    "    (pl.col('surface_reelle_bati') > 0)\n",
-    ").with_columns((pl.col('valeur_fonciere') / pl.col('surface_reelle_bati')).alias('prix_m2_naive'))\n",
-    "\n",
-    "print(f'\\nNaive price/m² (before dedup, will be wrong for multi-lot):')\n",
-    "print(f'  Median: {res_valid[\"prix_m2_naive\"].median():,.0f} €/m²')\n",
-    "print(f'  Mean:   {res_valid[\"prix_m2_naive\"].mean():,.0f} €/m²')\n",
-    "print(f'  Q1-Q3:  [{res_valid[\"prix_m2_naive\"].quantile(0.25):,.0f}, {res_valid[\"prix_m2_naive\"].quantile(0.75):,.0f}] €/m²')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### The Multi-Lot Problem (Critical DVF Pitfall)\n",
-    "\n",
-    "A single transaction (`id_mutation`) can span multiple rows. The **total `valeur_fonciere` is repeated on every row**, not split. For example, selling an apartment + parking + cellar for 300,000€ produces 3 rows each showing 300,000€.\n",
-    "\n",
-    "Let's find a real multi-lot transaction:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Transactions with multiple rows: 23,306 out of 35,671 (65.3%)\n",
-      "\n",
-      "Example multi-lot transaction (id_mutation=2025-20196):\n",
-      "  Total price (repeated on each row): 31,480,000 €\n",
-      "  Rows: 472, Types: ['Dépendance', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Dépendance', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Dépendance', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Appartement', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance', 'Dépendance']\n",
-      "  Surfaces: [None, 67, 35, 58, 89, 56, 94, 89, 56, 81, 89, 56, 94, 82, 33, 81, 134, 37, 60, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, 45, 39, 65, 89, 61, 92, 89, 61, 89, 89, 61, 89, 74, 83, 101, 46, 35, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, 37, 86, 60, 68, 74, 60, 68, 86, 60, 68, 81, 34, 62, 146, 58, 35, 67, 95, 56, 89, 81, 56, 89, 95, 56, 89, 81, 33, 82, 129, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, 92, 130, 48, 95, 60, 39, 40, 98, None, 61, 95, 98, 61, 95, None, 98, 61, 95, 74, 95, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, 63, 59, 39, 125, 95, 67, 59, 39, 125, 95, 67, 59, 39, 125, 51, 70, 59, 76, 116, 62, 34, 86, 114, 62, 91, 114, 62, 91, 114, 62, 91, 101, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None] m²\n",
-      "\n",
-      "shape: (472, 4)\n",
-      "┌─────────────┬─────────────┬─────────────────┬─────────────────────┐\n",
-      "│ id_mutation ┆ type_local  ┆ valeur_fonciere ┆ surface_reelle_bati │\n",
-      "│ ---         ┆ ---         ┆ ---             ┆ ---                 │\n",
-      "│ str         ┆ str         ┆ f64             ┆ i64                 │\n",
-      "╞═════════════╪═════════════╪═════════════════╪═════════════════════╡\n",
-      "│ 2025-20196  ┆ Dépendance  ┆ 3.148e7         ┆ null                │\n",
-      "│ 2025-20196  ┆ Appartement ┆ 3.148e7         ┆ 67                  │\n",
-      "│ 2025-20196  ┆ Appartement ┆ 3.148e7         ┆ 35                  │\n",
-      "│ 2025-20196  ┆ Appartement ┆ 3.148e7         ┆ 58                  │\n",
-      "│ 2025-20196  ┆ Appartement ┆ 3.148e7         ┆ 89                  │\n",
-      "│ …           ┆ …           ┆ …               ┆ …                   │\n",
-      "│ 2025-20196  ┆ Dépendance  ┆ 3.148e7         ┆ null                │\n",
-      "│ 2025-20196  ┆ Dépendance  ┆ 3.148e7         ┆ null                │\n",
-      "│ 2025-20196  ┆ Dépendance  ┆ 3.148e7         ┆ null                │\n",
-      "│ 2025-20196  ┆ Dépendance  ┆ 3.148e7         ┆ null                │\n",
-      "│ 2025-20196  ┆ Dépendance  ┆ 3.148e7         ┆ null                │\n",
-      "└─────────────┴─────────────┴─────────────────┴─────────────────────┘\n",
-      "\n",
-      "→ Our solution: keep only mutations where ALL rows share the same type_local.\n",
-      "  This drops mixed-type sales (~22%) but guarantees correct price attribution.\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Find a multi-lot transaction to demonstrate the problem\n",
-    "mutation_counts = df_sample.group_by('id_mutation').len().sort('len', descending=True)\n",
-    "\n",
-    "multi_mutations = mutation_counts.filter(pl.col('len') > 1)\n",
-    "print(f'Transactions with multiple rows: {len(multi_mutations):,} out of {mutation_counts.height:,} ({len(multi_mutations)/mutation_counts.height*100:.1f}%)\\n')\n",
-    "\n",
-    "# Show an example with mixed type_local\n",
-    "example_id = None\n",
-    "for row in multi_mutations.iter_rows():\n",
-    "    mid = row[0]\n",
-    "    subset = df_sample.filter(pl.col('id_mutation') == mid)\n",
-    "    if subset['type_local'].n_unique() > 1:\n",
-    "        example_id = mid\n",
-    "        break\n",
-    "\n",
-    "if example_id:\n",
-    "    example = df_sample.filter(pl.col('id_mutation') == example_id)\n",
-    "    print(f'Example multi-lot transaction (id_mutation={example_id}):')\n",
-    "    print(f'  Total price (repeated on each row): {example[\"valeur_fonciere\"][0]:,.0f} €')\n",
-    "    print(f'  Rows: {len(example)}, Types: {example[\"type_local\"].to_list()}')\n",
-    "    print(f'  Surfaces: {example[\"surface_reelle_bati\"].to_list()} m²')\n",
-    "    print()\n",
-    "    print(example.select(['id_mutation', 'type_local', 'valeur_fonciere', 'surface_reelle_bati']))\n",
-    "    print()\n",
-    "    print('→ Our solution: keep only mutations where ALL rows share the same type_local.')\n",
-    "    print('  This drops mixed-type sales (~22%) but guarantees correct price attribution.')\n",
-    "else:\n",
-    "    print('No mixed-type mutation found in sample.')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Geographic coverage (dvf_2025.csv):\n",
-      "  Departments:  8\n",
-      "  Communes:     2,388\n",
-      "  Postcodes:    402\n",
-      "  Missing depts (no DVF data): {'68', '57', '67', '976'} (Alsace-Moselle + Mayotte)\n",
-      "\n",
-      "Section code = first 10 chars of id_parcelle:\n",
-      "  id_parcelle: 011580000B0815\n",
-      "  code_section: 011580000B\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Geographic coverage\n",
-    "n_depts = df_sample['code_departement'].drop_nulls().n_unique()\n",
-    "n_communes = df_sample['code_commune'].drop_nulls().n_unique()\n",
-    "n_postcodes = df_sample['code_postal'].drop_nulls().n_unique()\n",
-    "\n",
-    "print(f'Geographic coverage ({latest.name}):')\n",
-    "print(f'  Departments:  {n_depts}')\n",
-    "print(f'  Communes:     {n_communes:,}')\n",
-    "print(f'  Postcodes:    {n_postcodes:,}')\n",
-    "print(f'  Missing depts (no DVF data): {NO_DVF_DEPARTMENTS} (Alsace-Moselle + Mayotte)')\n",
-    "\n",
-    "# Section derivation from id_parcelle\n",
-    "sample_parcel = df_sample.filter(pl.col('id_parcelle').is_not_null())['id_parcelle'][0]\n",
-    "print(f'\\nSection code = first 10 chars of id_parcelle:')\n",
-    "print(f'  id_parcelle: {sample_parcel}')\n",
-    "print(f'  code_section: {sample_parcel[:10]}')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Coordinates: 99,731 / 100,000 (99.7% coverage)\n",
-      "Note: Gap in the east = Alsace-Moselle (no DVF data)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Spatial scatter of transactions\n",
-    "coords = df_sample.filter(\n",
-    "    pl.col('longitude').is_not_null() & pl.col('latitude').is_not_null()\n",
-    ")\n",
-    "\n",
-    "fig, ax = plt.subplots(figsize=(8, 8))\n",
-    "ax.scatter(coords['longitude'].to_list(), coords['latitude'].to_list(),\n",
-    "           s=0.1, alpha=0.3, c='#2ecc71')\n",
-    "ax.set_title(f'Transaction Locations ({latest.name}, 100k sample)')\n",
-    "ax.set_xlabel('Longitude')\n",
-    "ax.set_ylabel('Latitude')\n",
-    "ax.set_aspect('equal')\n",
-    "plt.tight_layout()\n",
-    "plt.show()\n",
-    "\n",
-    "null_pct = (1 - len(coords)/len(df_sample)) * 100\n",
-    "print(f'Coordinates: {len(coords):,} / {len(df_sample):,} ({100-null_pct:.1f}% coverage)')\n",
-    "print('Note: Gap in the east = Alsace-Moselle (no DVF data)')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## 3. Data Cleaning Pipeline\n",
-    "\n",
-    "We demonstrate the cleaning on the **single year** above, showing what each step does and how many rows it removes.\n",
-    "\n",
-    "| Step | Operation | Rationale |\n",
-    "|------|-----------|----------|\n",
-    "| 1 | Filter sales | Keep `nature_mutation=\"Vente\"`, `type_local` ∈ {Appartement, Maison}, non-null price/surface |\n",
-    "| 2 | Deduplicate mutations | Handle multi-lot transactions: keep single-type only, sum surfaces |\n",
-    "| 3 | Derived columns | Compute `prix_m2`, `code_section`, `temporal_weight`, `code_region` |\n",
-    "| 4 | Remove outliers | Surface bounds [9, 1000] m², price bounds [200, 25000] €/m² |\n",
-    "| 5 | Normalize communes | Map Paris/Lyon/Marseille arrondissements to parent city codes |"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Cleaning pipeline for dvf_2025.csv:\n",
-      "Step                                                            Rows  Note\n",
-      "-------------------------------------------------------------------------------------\n",
-      "Raw rows                                                   1,387,077  -\n",
-      "Filter (Vente + residential + non-null)                      400,590  71.1% removed\n",
-      "Deduplicate (single-type mutations)                          319,955  20.1% removed\n",
-      "Derived columns (prix_m2, weights)                           319,955  no rows removed\n",
-      "Remove outliers (surface + price bounds)                     316,001  1.2% removed\n",
-      "Normalize communes (arrondissements)                         316,001  no rows removed\n",
-      "\n",
-      "Retention: 22.8% of raw rows survive cleaning\n"
-     ]
-    }
-   ],
-   "source": [
-    "from src.cleaner import (\n",
-    "    load_raw_csv, filter_sales, deduplicate_mutations,\n",
-    "    add_derived_columns, remove_outliers, normalize_commune_codes,\n",
-    ")\n",
-    "\n",
-    "# Load full single year (not just 100k sample)\n",
-    "lf_single = load_raw_csv(latest)\n",
-    "n0 = lf_single.select(pl.len()).collect().item()\n",
-    "\n",
-    "lf1 = filter_sales(lf_single)\n",
-    "n1 = lf1.select(pl.len()).collect().item()\n",
-    "\n",
-    "lf2 = deduplicate_mutations(lf1)\n",
-    "n2 = lf2.select(pl.len()).collect().item()\n",
-    "\n",
-    "lf3 = add_derived_columns(lf2)\n",
-    "df3 = lf3.collect()\n",
-    "n3 = len(df3)\n",
-    "\n",
-    "lf4 = remove_outliers(df3.lazy())\n",
-    "df4 = lf4.collect()\n",
-    "n4 = len(df4)\n",
-    "\n",
-    "lf5 = normalize_commune_codes(df4.lazy())\n",
-    "df5 = lf5.collect()\n",
-    "n5 = len(df5)\n",
-    "\n",
-    "steps = [\n",
-    "    ('Raw rows', n0, '-'),\n",
-    "    ('Filter (Vente + residential + non-null)', n1, f'{(1-n1/n0)*100:.1f}% removed'),\n",
-    "    ('Deduplicate (single-type mutations)', n2, f'{(1-n2/n1)*100:.1f}% removed'),\n",
-    "    ('Derived columns (prix_m2, weights)', n3, 'no rows removed'),\n",
-    "    ('Remove outliers (surface + price bounds)', n4, f'{(1-n4/n3)*100:.1f}% removed'),\n",
-    "    ('Normalize communes (arrondissements)', n5, 'no rows removed'),\n",
-    "]\n",
-    "\n",
-    "print(f'Cleaning pipeline for {latest.name}:')\n",
-    "print(f'{\"Step\":55s} {\"Rows\":>12s}  {\"Note\"}')\n",
-    "print('-' * 85)\n",
-    "for step_name, count, note in steps:\n",
-    "    print(f'{step_name:55s} {count:>12,}  {note}')\n",
-    "print(f'\\nRetention: {n5/n0*100:.1f}% of raw rows survive cleaning')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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",
-      "text/plain": [
-       "<Figure size 1200x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Cleaning funnel visualization\n",
-    "labels = ['Raw', 'Filter\\n(Vente+Res)', 'Dedup\\n(single-type)', 'Outlier\\nRemoval', 'Final']\n",
-    "counts = [n0, n1, n2, n4, n5]\n",
-    "colors = ['#95a5a6', '#e74c3c', '#f39c12', '#3498db', '#2ecc71']\n",
-    "\n",
-    "fig, ax = plt.subplots(figsize=(12, 5))\n",
-    "bars = ax.bar(range(len(counts)), counts, color=colors, edgecolor='black', alpha=0.85)\n",
-    "for i, (bar, count) in enumerate(zip(bars, counts)):\n",
-    "    pct = count / n0 * 100\n",
-    "    ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + n0*0.01,\n",
-    "            f'{count:,}\\n({pct:.0f}%)', ha='center', va='bottom', fontsize=10, fontweight='bold')\n",
-    "\n",
-    "ax.set_xticks(range(len(labels)))\n",
-    "ax.set_xticklabels(labels, fontsize=11)\n",
-    "ax.set_ylabel('Row Count')\n",
-    "ax.set_title(f'Data Cleaning Funnel ({latest.name})')\n",
-    "ax.set_ylim(0, n0 * 1.15)\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (5, 23)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id_mutation</th><th>date_mutation</th><th>nature_mutation</th><th>valeur_fonciere</th><th>code_postal</th><th>code_commune</th><th>nom_commune</th><th>code_departement</th><th>id_parcelle</th><th>type_local</th><th>surface_reelle_bati</th><th>nombre_pieces_principales</th><th>nombre_lots</th><th>longitude</th><th>latitude</th><th>prix_m2</th><th>code_section</th><th>code_region</th><th>year</th><th>months_since</th><th>temporal_weight</th><th>code_commune_city</th><th>code_commune_original</th></tr><tr><td>str</td><td>str</td><td>str</td><td>f64</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>str</td><td>str</td></tr></thead><tbody><tr><td>&quot;2025-205789&quot;</td><td>&quot;2025-05-27&quot;</td><td>&quot;Vente&quot;</td><td>227000.0</td><td>&quot;40230&quot;</td><td>&quot;40317&quot;</td><td>&quot;Tosse&quot;</td><td>&quot;40&quot;</td><td>&quot;40317000AD0424&quot;</td><td>&quot;Maison&quot;</td><td>63</td><td>4</td><td>0</td><td>-1.333272</td><td>43.701737</td><td>3603.174603</td><td>&quot;40317000AD&quot;</td><td>&quot;75&quot;</td><td>&quot;2025&quot;</td><td>-4.796321</td><td>1.0</td><td>&quot;40317&quot;</td><td>&quot;40317&quot;</td></tr><tr><td>&quot;2025-347078&quot;</td><td>&quot;2025-02-27&quot;</td><td>&quot;Vente&quot;</td><td>33300.0</td><td>&quot;71550&quot;</td><td>&quot;71009&quot;</td><td>&quot;Anost&quot;</td><td>&quot;71&quot;</td><td>&quot;71009000AI0259&quot;</td><td>&quot;Maison&quot;</td><td>50</td><td>3</td><td>0</td><td>4.078591</td><td>47.04106</td><td>666.0</td><td>&quot;71009000AI&quot;</td><td>&quot;27&quot;</td><td>&quot;2025&quot;</td><td>-1.872536</td><td>1.0</td><td>&quot;71009&quot;</td><td>&quot;71009&quot;</td></tr><tr><td>&quot;2025-284016&quot;</td><td>&quot;2025-05-21&quot;</td><td>&quot;Vente&quot;</td><td>329900.0</td><td>&quot;59250&quot;</td><td>&quot;59279&quot;</td><td>&quot;Halluin&quot;</td><td>&quot;59&quot;</td><td>&quot;59279000BK1058&quot;</td><td>&quot;Maison&quot;</td><td>97</td><td>5</td><td>0</td><td>3.119477</td><td>50.76873</td><td>3401.030928</td><td>&quot;59279000BK&quot;</td><td>&quot;32&quot;</td><td>&quot;2025&quot;</td><td>-4.599212</td><td>1.0</td><td>&quot;59279&quot;</td><td>&quot;59279&quot;</td></tr><tr><td>&quot;2025-315715&quot;</td><td>&quot;2025-01-17&quot;</td><td>&quot;Vente&quot;</td><td>255000.0</td><td>&quot;64121&quot;</td><td>&quot;64519&quot;</td><td>&quot;Serres-Castet&quot;</td><td>&quot;64&quot;</td><td>&quot;64519000AZ0005&quot;</td><td>&quot;Maison&quot;</td><td>127</td><td>5</td><td>0</td><td>-0.378521</td><td>43.377224</td><td>2007.874016</td><td>&quot;64519000AZ&quot;</td><td>&quot;75&quot;</td><td>&quot;2025&quot;</td><td>-0.525624</td><td>1.0</td><td>&quot;64519&quot;</td><td>&quot;64519&quot;</td></tr><tr><td>&quot;2025-348263&quot;</td><td>&quot;2025-04-24&quot;</td><td>&quot;Vente&quot;</td><td>110000.0</td><td>&quot;71370&quot;</td><td>&quot;71002&quot;</td><td>&quot;L&#x27;Abergement-Sainte-Colombe&quot;</td><td>&quot;71&quot;</td><td>&quot;710020000D0913&quot;</td><td>&quot;Maison&quot;</td><td>110</td><td>5</td><td>0</td><td>5.010023</td><td>46.73579</td><td>1000.0</td><td>&quot;710020000D&quot;</td><td>&quot;27&quot;</td><td>&quot;2025&quot;</td><td>-3.712221</td><td>1.0</td><td>&quot;71002&quot;</td><td>&quot;71002&quot;</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (5, 23)\n",
-       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
-       "│ id_mutati ┆ date_muta ┆ nature_mu ┆ valeur_fo ┆ … ┆ months_si ┆ temporal_ ┆ code_comm ┆ code_com │\n",
-       "│ on        ┆ tion      ┆ tation    ┆ nciere    ┆   ┆ nce       ┆ weight    ┆ une_city  ┆ mune_ori │\n",
-       "│ ---       ┆ ---       ┆ ---       ┆ ---       ┆   ┆ ---       ┆ ---       ┆ ---       ┆ ginal    │\n",
-       "│ str       ┆ str       ┆ str       ┆ f64       ┆   ┆ f64       ┆ f64       ┆ str       ┆ ---      │\n",
-       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆ str      │\n",
-       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
-       "│ 2025-2057 ┆ 2025-05-2 ┆ Vente     ┆ 227000.0  ┆ … ┆ -4.796321 ┆ 1.0       ┆ 40317     ┆ 40317    │\n",
-       "│ 89        ┆ 7         ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-       "│ 2025-3470 ┆ 2025-02-2 ┆ Vente     ┆ 33300.0   ┆ … ┆ -1.872536 ┆ 1.0       ┆ 71009     ┆ 71009    │\n",
-       "│ 78        ┆ 7         ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-       "│ 2025-2840 ┆ 2025-05-2 ┆ Vente     ┆ 329900.0  ┆ … ┆ -4.599212 ┆ 1.0       ┆ 59279     ┆ 59279    │\n",
-       "│ 16        ┆ 1         ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-       "│ 2025-3157 ┆ 2025-01-1 ┆ Vente     ┆ 255000.0  ┆ … ┆ -0.525624 ┆ 1.0       ┆ 64519     ┆ 64519    │\n",
-       "│ 15        ┆ 7         ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-       "│ 2025-3482 ┆ 2025-04-2 ┆ Vente     ┆ 110000.0  ┆ … ┆ -3.712221 ┆ 1.0       ┆ 71002     ┆ 71002    │\n",
-       "│ 63        ┆ 4         ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df5.head(5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## 4. Full Pipeline (All Years)\n",
-    "\n",
-    "Now we run the same cleaning pipeline on **all years** (2020–2025), producing the complete dataset for aggregation."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1. Raw rows: 20,102,739 (1.1s)\n",
-      "2. After filter: 6,049,550 (30.1%) (0.8s)\n",
-      "3. After dedup: 4,707,963 (77.8%) (2.1s)\n",
-      "4. Derived columns (5.1s)\n",
-      "5. After outliers + normalize: 4,648,998 (98.7%) (0.7s)\n",
-      "\n",
-      "Total cleaning: 9.8s | Final: 4,648,998 transactions\n"
-     ]
-    }
-   ],
-   "source": [
-    "from src.cleaner import clean, load_multiple_csvs\n",
-    "\n",
-    "lf_raw = load_multiple_csvs(csv_paths)\n",
-    "\n",
-    "t0 = time.time()\n",
-    "n_raw = lf_raw.select(pl.len()).collect().item()\n",
-    "timings['load'] = time.time() - t0\n",
-    "print(f'1. Raw rows: {n_raw:,} ({timings[\"load\"]:.1f}s)')\n",
-    "\n",
-    "t0 = time.time()\n",
-    "lf_sales = filter_sales(lf_raw)\n",
-    "n_sales = lf_sales.select(pl.len()).collect().item()\n",
-    "timings['filter'] = time.time() - t0\n",
-    "print(f'2. After filter: {n_sales:,} ({n_sales/n_raw*100:.1f}%) ({timings[\"filter\"]:.1f}s)')\n",
-    "\n",
-    "t0 = time.time()\n",
-    "lf_dedup = deduplicate_mutations(lf_sales)\n",
-    "n_dedup = lf_dedup.select(pl.len()).collect().item()\n",
-    "timings['dedup'] = time.time() - t0\n",
-    "print(f'3. After dedup: {n_dedup:,} ({n_dedup/n_sales*100:.1f}%) ({timings[\"dedup\"]:.1f}s)')\n",
-    "\n",
-    "t0 = time.time()\n",
-    "lf_derived = add_derived_columns(lf_dedup)\n",
-    "df_with_cols = lf_derived.collect()\n",
-    "timings['derived'] = time.time() - t0\n",
-    "print(f'4. Derived columns ({timings[\"derived\"]:.1f}s)')\n",
-    "\n",
-    "t0 = time.time()\n",
-    "lf_clean = remove_outliers(df_with_cols.lazy())\n",
-    "lf_clean = normalize_commune_codes(lf_clean)\n",
-    "df_clean = lf_clean.collect()\n",
-    "timings['outliers_normalize'] = time.time() - t0\n",
-    "print(f'5. After outliers + normalize: {len(df_clean):,} ({len(df_clean)/n_dedup*100:.1f}%) ({timings[\"outliers_normalize\"]:.1f}s)')\n",
-    "\n",
-    "total_clean = sum(v for k, v in timings.items() if k != 'download')\n",
-    "print(f'\\nTotal cleaning: {total_clean:.1f}s | Final: {len(df_clean):,} transactions')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Saved: dvf_clean.parquet (258.3 MB, 4,648,998 rows)\n"
-     ]
-    }
-   ],
-   "source": [
-    "PROCESSED_DIR.mkdir(parents=True, exist_ok=True)\n",
-    "parquet_path = PROCESSED_DIR / 'dvf_clean.parquet'\n",
-    "df_clean.write_parquet(parquet_path)\n",
-    "print(f'Saved: {parquet_path.name} ({parquet_path.stat().st_size / 1e6:.1f} MB, {len(df_clean):,} rows)')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (5, 23)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>id_mutation</th><th>date_mutation</th><th>nature_mutation</th><th>valeur_fonciere</th><th>code_postal</th><th>code_commune</th><th>nom_commune</th><th>code_departement</th><th>id_parcelle</th><th>type_local</th><th>surface_reelle_bati</th><th>nombre_pieces_principales</th><th>nombre_lots</th><th>longitude</th><th>latitude</th><th>prix_m2</th><th>code_section</th><th>code_region</th><th>year</th><th>months_since</th><th>temporal_weight</th><th>code_commune_city</th><th>code_commune_original</th></tr><tr><td>str</td><td>str</td><td>str</td><td>f64</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>str</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>str</td><td>str</td></tr></thead><tbody><tr><td>&quot;2022-1254416&quot;</td><td>&quot;2022-09-16&quot;</td><td>&quot;Vente&quot;</td><td>285000.0</td><td>&quot;76610&quot;</td><td>&quot;76351&quot;</td><td>&quot;Le Havre&quot;</td><td>&quot;76&quot;</td><td>&quot;76351000LF0202&quot;</td><td>&quot;Maison&quot;</td><td>78</td><td>3</td><td>0</td><td>0.146284</td><td>49.511906</td><td>3653.846154</td><td>&quot;76351000LF&quot;</td><td>&quot;28&quot;</td><td>&quot;2022&quot;</td><td>27.529566</td><td>0.432346</td><td>&quot;76351&quot;</td><td>&quot;76351&quot;</td></tr><tr><td>&quot;2023-25591&quot;</td><td>&quot;2023-02-13&quot;</td><td>&quot;Vente&quot;</td><td>114020.0</td><td>&quot;03230&quot;</td><td>&quot;03074&quot;</td><td>&quot;Chevagnes&quot;</td><td>&quot;03&quot;</td><td>&quot;030740000F0214&quot;</td><td>&quot;Maison&quot;</td><td>104</td><td>6</td><td>0</td><td>3.548985</td><td>46.606232</td><td>1096.346154</td><td>&quot;030740000F&quot;</td><td>&quot;84&quot;</td><td>&quot;2023&quot;</td><td>22.60184</td><td>0.502362</td><td>&quot;03074&quot;</td><td>&quot;03074&quot;</td></tr><tr><td>&quot;2021-1292052&quot;</td><td>&quot;2021-03-23&quot;</td><td>&quot;Vente&quot;</td><td>155000.0</td><td>&quot;77930&quot;</td><td>&quot;77359&quot;</td><td>&quot;Perthes&quot;</td><td>&quot;77&quot;</td><td>&quot;77359000AC0007&quot;</td><td>&quot;Maison&quot;</td><td>66</td><td>2</td><td>0</td><td>2.553948</td><td>48.477261</td><td>2348.484848</td><td>&quot;77359000AC&quot;</td><td>&quot;11&quot;</td><td>&quot;2021&quot;</td><td>45.335085</td><td>0.25136</td><td>&quot;77359&quot;</td><td>&quot;77359&quot;</td></tr><tr><td>&quot;2023-485120&quot;</td><td>&quot;2023-07-10&quot;</td><td>&quot;Vente&quot;</td><td>200000.0</td><td>&quot;35230&quot;</td><td>&quot;35206&quot;</td><td>&quot;Noyal-Châtillon-sur-Seiche&quot;</td><td>&quot;35&quot;</td><td>&quot;35206000AE0112&quot;</td><td>&quot;Maison&quot;</td><td>79</td><td>3</td><td>0</td><td>-1.660415</td><td>48.061163</td><td>2531.64557</td><td>&quot;35206000AE&quot;</td><td>&quot;53&quot;</td><td>&quot;2023&quot;</td><td>17.772668</td><td>0.581967</td><td>&quot;35206&quot;</td><td>&quot;35206&quot;</td></tr><tr><td>&quot;2023-448804&quot;</td><td>&quot;2023-06-28&quot;</td><td>&quot;Vente&quot;</td><td>245650.0</td><td>&quot;34160&quot;</td><td>&quot;34256&quot;</td><td>&quot;Saint-Geniès-des-Mourgues&quot;</td><td>&quot;34&quot;</td><td>&quot;34256000AO0124&quot;</td><td>&quot;Appartement&quot;</td><td>68</td><td>4</td><td>1</td><td>4.036094</td><td>43.697284</td><td>3612.5</td><td>&quot;34256000AO&quot;</td><td>&quot;76&quot;</td><td>&quot;2023&quot;</td><td>18.166886</td><td>0.575021</td><td>&quot;34256&quot;</td><td>&quot;34256&quot;</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (5, 23)\n",
-       "┌───────────┬───────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬──────────┐\n",
-       "│ id_mutati ┆ date_muta ┆ nature_mu ┆ valeur_fo ┆ … ┆ months_si ┆ temporal_ ┆ code_comm ┆ code_com │\n",
-       "│ on        ┆ tion      ┆ tation    ┆ nciere    ┆   ┆ nce       ┆ weight    ┆ une_city  ┆ mune_ori │\n",
-       "│ ---       ┆ ---       ┆ ---       ┆ ---       ┆   ┆ ---       ┆ ---       ┆ ---       ┆ ginal    │\n",
-       "│ str       ┆ str       ┆ str       ┆ f64       ┆   ┆ f64       ┆ f64       ┆ str       ┆ ---      │\n",
-       "│           ┆           ┆           ┆           ┆   ┆           ┆           ┆           ┆ str      │\n",
-       "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪══════════╡\n",
-       "│ 2022-1254 ┆ 2022-09-1 ┆ Vente     ┆ 285000.0  ┆ … ┆ 27.529566 ┆ 0.432346  ┆ 76351     ┆ 76351    │\n",
-       "│ 416       ┆ 6         ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-       "│ 2023-2559 ┆ 2023-02-1 ┆ Vente     ┆ 114020.0  ┆ … ┆ 22.60184  ┆ 0.502362  ┆ 03074     ┆ 03074    │\n",
-       "│ 1         ┆ 3         ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-       "│ 2021-1292 ┆ 2021-03-2 ┆ Vente     ┆ 155000.0  ┆ … ┆ 45.335085 ┆ 0.25136   ┆ 77359     ┆ 77359    │\n",
-       "│ 052       ┆ 3         ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-       "│ 2023-4851 ┆ 2023-07-1 ┆ Vente     ┆ 200000.0  ┆ … ┆ 17.772668 ┆ 0.581967  ┆ 35206     ┆ 35206    │\n",
-       "│ 20        ┆ 0         ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-       "│ 2023-4488 ┆ 2023-06-2 ┆ Vente     ┆ 245650.0  ┆ … ┆ 18.166886 ┆ 0.575021  ┆ 34256     ┆ 34256    │\n",
-       "│ 04        ┆ 8         ┆           ┆           ┆   ┆           ┆           ┆           ┆          │\n",
-       "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_clean.head(5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "=== Transactions by Year ===\n",
-      "shape: (6, 4)\n",
-      "┌──────┬─────────┬──────────────┬────────────┐\n",
-      "│ year ┆ count   ┆ median_price ┆ avg_weight │\n",
-      "│ ---  ┆ ---     ┆ ---          ┆ ---        │\n",
-      "│ str  ┆ u32     ┆ f64          ┆ f64        │\n",
-      "╞══════╪═════════╪══════════════╪════════════╡\n",
-      "│ 2020 ┆ 544383  ┆ 2086.206897  ┆ 0.213105   │\n",
-      "│ 2021 ┆ 1115461 ┆ 2223.684211  ┆ 0.281491   │\n",
-      "│ 2022 ┆ 1068431 ┆ 2437.5       ┆ 0.403593   │\n",
-      "│ 2023 ┆ 842928  ┆ 2432.926829  ┆ 0.579749   │\n",
-      "│ 2024 ┆ 761794  ┆ 2349.328587  ┆ 0.846706   │\n",
-      "│ 2025 ┆ 316001  ┆ 2429.545455  ┆ 1.0        │\n",
-      "└──────┴─────────┴──────────────┴────────────┘\n",
-      "\n",
-      "=== By Property Type ===\n",
-      "  appartement       2,039,485 (43.9%)  median: 3,088 €/m²\n",
-      "  maison            2,609,513 (56.1%)  median: 1,857 €/m²\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Year-over-year breakdown\n",
-    "year_stats = df_clean.group_by('year').agg(\n",
-    "    pl.len().alias('count'),\n",
-    "    pl.col('prix_m2').median().alias('median_price'),\n",
-    "    pl.col('temporal_weight').mean().alias('avg_weight'),\n",
-    ").sort('year')\n",
-    "\n",
-    "print('=== Transactions by Year ===')\n",
-    "print(year_stats)\n",
-    "\n",
-    "print('\\n=== By Property Type ===')\n",
-    "for ptype in VALID_TYPE_LOCAL:\n",
-    "    n = len(df_clean.filter(pl.col('type_local') == ptype))\n",
-    "    pct = n / len(df_clean) * 100\n",
-    "    med = df_clean.filter(pl.col('type_local') == ptype)['prix_m2'].median()\n",
-    "    short = TYPE_LOCAL_SHORT[ptype]\n",
-    "    print(f'  {short:15s}  {n:>10,} ({pct:.1f}%)  median: {med:,.0f} €/m²')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## 5. Price Estimation Methodology\n",
-    "\n",
-    "We use a **Time-Weighted Trimmed Mean (WTM)** to estimate current market prices:\n",
-    "\n",
-    "| Challenge Requirement | How We Address It |\n",
-    "|---|---|\n",
-    "| **Price volatility** | 20% trimming from each tail removes outliers and luxury sales |\n",
-    "| **Transaction volume** | Kish's effective sample size (n_eff) measures usable data after weighting |\n",
-    "| **Data freshness** | Exponential decay (λ=0.97/month, half-life ≈23 months) gives recent data more weight |\n",
-    "| **Consistency** | Confidence score combines volume + price stability into a single metric |\n",
-    "\n",
-    "This improves on the official DVF explorer (simple unweighted median over a rolling window) while remaining interpretable."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1600x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Temporal weight decay for different lambda values\n",
-    "fig, axes = plt.subplots(1, 2, figsize=(16, 6))\n",
-    "\n",
-    "months_range = np.arange(0, 72)\n",
-    "lambdas = {'λ=0.93 (10mo)': 0.93, 'λ=0.95 (14mo)': 0.95, 'λ=0.97 (23mo)': 0.97, 'λ=0.99 (69mo)': 0.99}\n",
-    "colors_l = ['#e74c3c', '#f39c12', '#2ecc71', '#3498db']\n",
-    "\n",
-    "for (label, lam), color in zip(lambdas.items(), colors_l):\n",
-    "    axes[0].plot(months_range, lam ** months_range, label=label, linewidth=2, color=color)\n",
-    "\n",
-    "axes[0].axhline(y=0.5, color='gray', linestyle='--', alpha=0.5, label='50% weight')\n",
-    "axes[0].axvline(x=23, color='#2ecc71', linestyle=':', alpha=0.7)\n",
-    "axes[0].set_xlabel('Months since transaction')\n",
-    "axes[0].set_ylabel('Weight')\n",
-    "axes[0].set_title('Temporal Weight Decay')\n",
-    "axes[0].legend()\n",
-    "\n",
-    "year_labels = ['2025\\n(0-6mo)', '2024\\n(6-18mo)', '2023\\n(18-30mo)', '2022\\n(30-42mo)', '2021\\n(42-54mo)', '2020\\n(54-66mo)']\n",
-    "year_avg_months = [3, 12, 24, 36, 48, 60]\n",
-    "year_weights = [TEMPORAL_LAMBDA ** m for m in year_avg_months]\n",
-    "\n",
-    "axes[1].bar(range(len(year_labels)), year_weights, color=plt.cm.Greens(np.linspace(0.8, 0.3, 6)), edgecolor='black', alpha=0.85)\n",
-    "axes[1].set_xticks(range(len(year_labels)))\n",
-    "axes[1].set_xticklabels(year_labels, fontsize=9)\n",
-    "axes[1].set_ylabel(f'Average Weight (λ={TEMPORAL_LAMBDA})')\n",
-    "axes[1].set_title(f'Effective Contribution by Year')\n",
-    "for i, w in enumerate(year_weights):\n",
-    "    axes[1].text(i, w + 0.02, f'{w:.2f}', ha='center', fontsize=10, fontweight='bold')\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1800x500 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Weight distribution & price/m² by property type\n",
-    "fig, axes = plt.subplots(1, 3, figsize=(18, 5))\n",
-    "\n",
-    "weights = df_clean['temporal_weight'].to_numpy()\n",
-    "axes[0].hist(weights, bins=50, edgecolor='black', alpha=0.7)\n",
-    "axes[0].set_title(f'Temporal Weight Distribution (λ={TEMPORAL_LAMBDA})')\n",
-    "axes[0].set_xlabel('Weight')\n",
-    "axes[0].axvline(x=np.median(weights), color='red', linestyle='--', label=f'median={np.median(weights):.3f}')\n",
-    "axes[0].legend()\n",
-    "\n",
-    "for ax, ptype in zip(axes[1:], VALID_TYPE_LOCAL):\n",
-    "    vals = df_clean.filter(pl.col('type_local') == ptype)['prix_m2'].to_list()\n",
-    "    short = TYPE_LOCAL_SHORT.get(ptype, ptype)\n",
-    "    ax.hist(vals, bins=100, edgecolor='black', alpha=0.7, range=(0, 15000))\n",
-    "    ax.set_title(f'{short} (n={len(vals):,})')\n",
-    "    ax.set_xlabel('Price/m² (EUR)')\n",
-    "    ax.axvline(x=np.median(vals), color='red', linestyle='--', label=f'median={np.median(vals):,.0f}')\n",
-    "    ax.legend()\n",
-    "\n",
-    "plt.suptitle('Weight Distribution & Price/m² by Property Type', fontsize=14, y=1.02)\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Geographic coverage (full dataset):\n",
-      "  Departments:  97\n",
-      "  Communes:     33,244\n",
-      "  Postcodes:    5,861\n",
-      "  Sections:     260,219\n",
-      "  Missing depts: {'68', '57', '67', '976'} (Alsace-Moselle + Mayotte)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Geographic coverage\n",
-    "print(f'Geographic coverage (full dataset):')\n",
-    "print(f'  Departments:  {df_clean[\"code_departement\"].n_unique()}')\n",
-    "print(f'  Communes:     {df_clean[\"code_commune\"].n_unique():,}')\n",
-    "print(f'  Postcodes:    {df_clean[\"code_postal\"].n_unique():,}')\n",
-    "print(f'  Sections:     {df_clean[\"code_section\"].n_unique():,}')\n",
-    "print(f'  Missing depts: {NO_DVF_DEPARTMENTS} (Alsace-Moselle + Mayotte)')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## 6. Aggregation\n",
-    "\n",
-    "WTM, median, quartiles, effective sample size, and confidence at each of the 6 geographic levels × 3 property types."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Aggregation completed in 157.0s\n",
-      "\n",
-      "country        :        1 unique codes\n",
-      "region         :       17 unique codes\n",
-      "department     :       97 unique codes\n",
-      "commune        :   33,244 unique codes\n",
-      "postcode       :    5,861 unique codes\n",
-      "section        :  260,219 unique codes\n"
-     ]
-    }
-   ],
-   "source": [
-    "from src.aggregator import aggregate_all_levels, aggregate_all_types, export_json\n",
-    "\n",
-    "t0 = time.time()\n",
-    "aggregated = aggregate_all_levels(df_clean)\n",
-    "timings['aggregate'] = time.time() - t0\n",
-    "\n",
-    "print(f'Aggregation completed in {timings[\"aggregate\"]:.1f}s\\n')\n",
-    "for level, data in aggregated.items():\n",
-    "    print(f'{level:15s}: {len(data):>8,} unique codes')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "=== Top 10 Most Expensive Departments (WTM) ===\n",
-      " Code       WTM    Median   Volume   n_eff   Conf\n",
-      "   75    10,168    10,385  150,136  120983  0.867\n",
-      "   92     6,853     6,936   95,048   75774  0.824\n",
-      "   94     4,978     4,960   74,700   59304  0.772\n",
-      "   06     4,565     4,400  133,468  106842  0.781\n",
-      "   74     4,231     4,062   74,845   59682  0.779\n",
-      "   93     4,034     3,966   69,685   55504  0.762\n",
-      "   78     3,891     3,829   86,278   68189  0.761\n",
-      "   2A     3,823     3,671   10,720    8569  0.719\n",
-      "   69     3,686     3,714  118,645   94100  0.770\n",
-      "   83     3,564     3,400  123,931   98605  0.690\n",
-      "\n",
-      "=== Top 10 Cheapest Departments (WTM) ===\n",
-      "   08     1,103     1,061   16,570   13292  0.687\n",
-      "   61     1,083     1,034   21,724   17245  0.684\n",
-      "   18     1,052     1,006   24,557   19643  0.664\n",
-      "   03     1,025       982   28,071   22382  0.664\n",
-      "   70     1,015       982   14,560   11609  0.686\n",
-      "   55       951       916   11,829    9446  0.669\n",
-      "   36       940       904   17,239   13854  0.689\n",
-      "   52       926       900   10,745    8620  0.650\n",
-      "   58       926       897   18,662   14913  0.687\n",
-      "   23       759       714   10,928    8759  0.669\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Department-level analysis\n",
-    "dept_data = aggregated['department']\n",
-    "dept_sorted = sorted(dept_data.items(), key=lambda x: x[1].get('tous', {}).get('wtm', 0), reverse=True)\n",
-    "\n",
-    "print('=== Top 10 Most Expensive Departments (WTM) ===')\n",
-    "print(f'{\"Code\":>5s}  {\"WTM\":>8s}  {\"Median\":>8s}  {\"Volume\":>7s}  {\"n_eff\":>6s}  {\"Conf\":>5s}')\n",
-    "for code, stats in dept_sorted[:10]:\n",
-    "    s = stats['tous']\n",
-    "    print(f'{code:>5s}  {s[\"wtm\"]:>8,.0f}  {s[\"median\"]:>8,.0f}  {s[\"volume\"]:>7,d}  {s[\"n_eff\"]:>6.0f}  {s[\"confidence\"]:>5.3f}')\n",
-    "\n",
-    "print('\\n=== Top 10 Cheapest Departments (WTM) ===')\n",
-    "for code, stats in dept_sorted[-10:]:\n",
-    "    s = stats['tous']\n",
-    "    print(f'{code:>5s}  {s[\"wtm\"]:>8,.0f}  {s[\"median\"]:>8,.0f}  {s[\"volume\"]:>7,d}  {s[\"n_eff\"]:>6.0f}  {s[\"confidence\"]:>5.3f}')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1600x800 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WTM vs Median difference: mean=3.2%, range=[-2.1%, 12.3%]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Department prices bar chart\n",
-    "fig, ax = plt.subplots(figsize=(16, 8))\n",
-    "codes = [c for c, _ in dept_sorted]\n",
-    "wtm_prices = [s['tous']['wtm'] for _, s in dept_sorted]\n",
-    "med_prices = [s['tous']['median'] for _, s in dept_sorted]\n",
-    "\n",
-    "x = np.arange(len(codes))\n",
-    "ax.bar(x - 0.2, wtm_prices, 0.4, label='WTM', alpha=0.85)\n",
-    "ax.bar(x + 0.2, med_prices, 0.4, label='Median', alpha=0.6)\n",
-    "ax.set_xticks(x)\n",
-    "ax.set_xticklabels(codes, rotation=90, fontsize=7)\n",
-    "ax.set_ylabel('Price/m² (EUR)')\n",
-    "ax.set_title('WTM vs Median Price/m² by Department')\n",
-    "ax.legend()\n",
-    "plt.tight_layout()\n",
-    "plt.show()\n",
-    "\n",
-    "diffs = [(w - m) / m * 100 for w, m in zip(wtm_prices, med_prices)]\n",
-    "print(f'WTM vs Median difference: mean={np.mean(diffs):.1f}%, range=[{min(diffs):.1f}%, {max(diffs):.1f}%]')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "=== Prices by Region (WTM) ===\n",
-      "                             Region       WTM    Median    Volume   n_eff\n",
-      "                      Île-de-France     5,046     4,579   708,419  563865\n",
-      "         Provence-Alpes-Côte d'Azur     3,577     3,436   478,018  380952\n",
-      "                              Corse     3,353     3,228    21,926   17566\n",
-      "                         Guadeloupe     2,929     2,875     9,606    7774\n",
-      "                         La Réunion     2,634     2,500    27,650   22189\n",
-      "                         Martinique     2,596     2,554     9,247    7480\n",
-      "               Auvergne-Rhône-Alpes     2,535     2,427   590,334  469625\n",
-      "                             Guyane     2,518     2,500     4,039    3255\n",
-      "                   Pays de la Loire     2,272     2,184   296,281  235002\n",
-      "                          Occitanie     2,216     2,145   515,891  411463\n",
-      "                           Bretagne     2,173     2,059   275,496  218560\n",
-      "                 Nouvelle-Aquitaine     2,038     1,864   500,388  397535\n",
-      "                          Normandie     1,840     1,784   256,778  203672\n",
-      "                    Hauts-de-France     1,800     1,750   381,329  302264\n",
-      "                Centre-Val de Loire     1,556     1,500   190,869  151945\n",
-      "                          Grand Est     1,481     1,430   175,445  139796\n",
-      "            Bourgogne-Franche-Comté     1,471     1,409   207,282  165125\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Region-level prices\n",
-    "region_data = aggregated['region']\n",
-    "region_sorted = sorted(region_data.items(), key=lambda x: x[1].get('tous', {}).get('wtm', 0), reverse=True)\n",
-    "\n",
-    "print('=== Prices by Region (WTM) ===')\n",
-    "print(f'{\"Region\":>35s}  {\"WTM\":>8s}  {\"Median\":>8s}  {\"Volume\":>8s}  {\"n_eff\":>6s}')\n",
-    "for code, stats in region_sorted:\n",
-    "    s = stats['tous']\n",
-    "    name = REGION_NAMES.get(code, code)\n",
-    "    print(f'{name:>35s}  {s[\"wtm\"]:>8,.0f}  {s[\"median\"]:>8,.0f}  {s[\"volume\"]:>8,d}  {s[\"n_eff\"]:>6.0f}')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_1275965/1793984490.py:25: MatplotlibDeprecationWarning: The 'labels' parameter of boxplot() has been renamed 'tick_labels' since Matplotlib 3.9; support for the old name will be dropped in 3.11.\n",
-      "  axes[2].boxplot(level_confs.values(), labels=level_confs.keys())\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1800x500 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "  department: mean=0.714, median=0.707, n=97\n",
-      "     commune: mean=0.573, median=0.567, n=33,244\n",
-      "    postcode: mean=0.743, median=0.741, n=5,861\n"
-     ]
-    }
-   ],
-   "source": [
-    "# n_eff and confidence analysis\n",
-    "fig, axes = plt.subplots(1, 3, figsize=(18, 5))\n",
-    "\n",
-    "dept_neffs = [s['tous']['n_eff'] for _, s in dept_sorted]\n",
-    "dept_vols = [s['tous']['volume'] for _, s in dept_sorted]\n",
-    "efficiency = [ne/v*100 for ne, v in zip(dept_neffs, dept_vols)]\n",
-    "\n",
-    "axes[0].hist(efficiency, bins=20, edgecolor='black', alpha=0.7, color='#2ecc71')\n",
-    "axes[0].set_xlabel('n_eff / volume (%)')\n",
-    "axes[0].set_title('Weight Efficiency by Department')\n",
-    "axes[0].axvline(x=np.mean(efficiency), color='red', linestyle='--', label=f'mean={np.mean(efficiency):.1f}%')\n",
-    "axes[0].legend()\n",
-    "\n",
-    "dept_confs = [s['tous']['confidence'] for _, s in dept_sorted]\n",
-    "axes[1].scatter(dept_neffs, dept_confs, alpha=0.7, s=40, c=dept_confs, cmap='RdYlGn')\n",
-    "axes[1].set_xlabel('n_eff')\n",
-    "axes[1].set_ylabel('Confidence')\n",
-    "axes[1].set_title('n_eff vs Confidence (Departments)')\n",
-    "for code, stats in dept_sorted[:3] + dept_sorted[-3:]:\n",
-    "    axes[1].annotate(code, (stats['tous']['n_eff'], stats['tous']['confidence']), fontsize=8)\n",
-    "\n",
-    "level_confs = {}\n",
-    "for lname in ['department', 'commune', 'postcode']:\n",
-    "    level_confs[lname] = [s['tous']['confidence'] for s in aggregated[lname].values() if 'tous' in s and 'confidence' in s['tous']]\n",
-    "axes[2].boxplot(level_confs.values(), labels=level_confs.keys())\n",
-    "axes[2].set_ylabel('Confidence Score')\n",
-    "axes[2].set_title('Confidence by Level')\n",
-    "\n",
-    "plt.tight_layout()\n",
-    "plt.show()\n",
-    "\n",
-    "for lname, confs in level_confs.items():\n",
-    "    print(f'{lname:>12s}: mean={np.mean(confs):.3f}, median={np.median(confs):.3f}, n={len(confs):,}')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## 7. Top 10 Cities\n",
-    "\n",
-    "Price per m² by property type for the top 10 French cities by population (challenge deliverable)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "No data for Strasbourg (67482)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "=========================================================================================================\n",
-      "TOP 10 CITIES: PRICE PER m² BY PROPERTY TYPE\n",
-      "=========================================================================================================\n",
-      "           City    Code  │   All Types         Apt      Maison  │    Volume     n_eff   Conf\n",
-      "────────────────────────────────────────────────────────────────────────────────────────────\n",
-      "          Paris   75056  │      10,168      10,159      13,632  │   150,136   120,983  0.867\n",
-      "           Lyon   69123  │       4,721       4,700       5,936  │    36,663    29,284  0.846\n",
-      "           Nice   06088  │       4,639       4,614       5,519  │    41,072    32,842  0.805\n",
-      "       Bordeaux   33063  │       4,553       4,389       5,136  │    24,900    19,806  0.842\n",
-      "         Nantes   44109  │       3,766       3,632       4,429  │    27,480    21,951  0.843\n",
-      "          Lille   59350  │       3,476       3,697       2,835  │    20,214    16,031  0.804\n",
-      "       Toulouse   31555  │       3,359       3,289       3,832  │    41,716    33,287  0.799\n",
-      "    Montpellier   34172  │       3,356       3,300       3,935  │    25,190    20,128  0.818\n",
-      "      Marseille   13055  │       3,171       3,034       4,653  │    68,761    54,716  0.744\n",
-      "\n",
-      "Note: Strasbourg excluded (dept 67, Alsace — no DVF data)\n"
-     ]
-    }
-   ],
-   "source": [
-    "from src.top_cities import compute_top_cities, export_top_cities\n",
-    "\n",
-    "t0 = time.time()\n",
-    "top_cities = compute_top_cities(df_clean)\n",
-    "timings['top_cities'] = time.time() - t0\n",
-    "\n",
-    "cities_sorted = sorted(top_cities.items(), key=lambda x: x[1].get('tous', {}).get('wtm', 0), reverse=True)\n",
-    "\n",
-    "print('=' * 105)\n",
-    "print('TOP 10 CITIES: PRICE PER m² BY PROPERTY TYPE')\n",
-    "print('=' * 105)\n",
-    "header = f'{\"City\":>15s}  {\"Code\":>6s}  │  {\"All Types\":>10s}  {\"Apt\":>10s}  {\"Maison\":>10s}  │  {\"Volume\":>8s}  {\"n_eff\":>8s}  {\"Conf\":>5s}'\n",
-    "print(header)\n",
-    "print('─' * len(header))\n",
-    "\n",
-    "for city_name, city_data in cities_sorted:\n",
-    "    s_all = city_data['tous']\n",
-    "    s_apt = city_data.get('appartement', {})\n",
-    "    s_mai = city_data.get('maison', {})\n",
-    "    print(f'{city_name:>15s}  {city_data[\"code\"]:>6s}  │  '\n",
-    "          f'{s_all[\"wtm\"]:>10,.0f}  {s_apt.get(\"wtm\", 0):>10,.0f}  {s_mai.get(\"wtm\", 0):>10,.0f}  │  '\n",
-    "          f'{s_all[\"volume\"]:>8,d}  {s_all[\"n_eff\"]:>8,.0f}  {s_all[\"confidence\"]:>5.3f}')\n",
-    "\n",
-    "print('\\nNote: Strasbourg excluded (dept 67, Alsace — no DVF data)')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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ffPNFhqmLstJKK6VHjx5f2+9/Q9yl4X9XAi/JXPmmNR1wwAG5/fbb8+STT6ZTp0655557cthhh6VevW+3LqV+/frZd999c9VVV+XPf/5zRo8enQ8++OAbr+CdP39+OnXqlPPPP3+R55f1f7cAwPeT0BYAYBlYffXV89BDD+U///lPtdV5b7zxRvH8ly341f4ve/PNN9OsWbNqv8r+v3r37p2bb745N954YwYNGrTEddbk1+4XWGuttVIoFNKhQ4fiKsHF6dSpUzp16pTf//73xZWxQ4cOzWmnnbbEddavXz9bbrllRo8enSeeeCLl5eXp1KlT8fxWW22VW2+9NWuvvXaSb/8QsgVWW221dO3aNaNGjcqvf/3rNGiw5D8+z58/P++88061z+zNN99MkqyxxhrFtlatWmXnnXfOsGHD0q9fv4wePToXXnjht72Fr7VgLo4fP36hc2+88UZWWmmlhVaTvvXWW9VW7L799tuZP39+8X6WdK58lcXNzx133DErr7xyhg0bli222CIzZsz4Rg/kW5QDDjgg5513XoYPH5777rsvK6+8cnr27LlQvw8++CDTp0+v9vn87/d2rbXWyosvvpjtt99+if57AwDqNtsjAAAsA7169cq8efNy6aWXVmu/4IILUlZWlp122qla+5gxY/Lcc88Vj99///3cfffd2WGHHRa5UnGBn//85+nUqVNOP/30jBkzZqHz//nPf3LSSSd95fsX7M86derUr72n3XffPfXr18+QIUNSKBSqnSsUCvnkk0+S/Hef3blz51Y736lTp9SrVy+zZs0qtn388cd54403Frvv7ZdtvfXW+eijj3Lttddmiy22qLaicquttsr48eNz9913p3Xr1sVtKJaG0047Laecckpx39Zv4svzoFAo5NJLL03Dhg2z/fbbV+u3//7757XXXstxxx2X+vXrp2/fvt/4mjW1yiqrZNNNN831119fbR688sorefDBB9OrV6+F3nPZZZdVO77kkkuSpDivazpXvk7z5s2/cm42aNAg++yzT2677bZcd9116dSpUzbeeOMajft1Nt5442y88ca5+uqr8/e//z19+/ZdZGA/d+7cXHHFFcXj2bNn54orrsjKK69c3KN6r732yr///e9cddVVC73/iy++WGjrCQCAxEpbAIBlonfv3unevXtOOumkTJw4MZtsskkefPDB3H333TnqqKOy1lprVeu/0UYbpWfPnvnNb36Txo0b589//nOSZMiQIYu9TsOGDXPHHXekR48e2WabbbLXXnula9euadiwYV599dXcdNNNadmyZU4//fRFvr9p06bZYIMNcuutt2adddZJq1atstFGG2WjjTZaqO9aa62V0047LYMGDcrEiRPTp0+frLjiipkwYULuvPPODBgwIMcee2xGjhyZgQMHZs8998w666yTuXPn5oYbbkj9+vWrPcjp0ksvzZAhQ/LII4/U+GFkyX8D7lNPPbXauS233DJlZWV56qmn0rt376W6onHbbbfNtttu+43f36RJk9x///058MADs8UWW+S+++7LP/7xj/zud79baBX1zjvvnNatW+f222/PTjvtlDZt2nzb8mvknHPOyU477ZQuXbqkf//++eKLL3LJJZekoqJioc86SSZMmJBdd901O+64Y8aMGZMbb7wx++67bzbZZJMkNZ8rX6dz5865/PLLc9ppp2XttddOmzZtqu1Ze8ABB+Tiiy/OI488stAD176tAw44oFjjV22NUFlZmbPOOisTJ07MOuusk1tvvTUvvPBCrrzyyjRs2DDJf4P42267Lb/61a/yyCOPpGvXrpk3b17eeOON3HbbbXnggQey+eabL9XaAYDlQAEAgG/t8MMPL/zvj1b/+c9/Cr/97W8LlZWVhYYNGxY6duxYOOeccwrz58+v1i9J4fDDDy/ceOONhY4dOxYaN25c2GyzzQqPPPJIja//2WefFQYPHlzo1KlToVmzZoUmTZoUNtpoo8KgQYMKH374YbHfgQceWFh99dWrvffJJ58sdO7cudCoUaNCksIpp5xSKBQKhVNOOWWheyoUCoW///3vha233rrQvHnzQvPmzQvrrbde4fDDDy+MHz++UCgUCu+8807hkEMOKay11lqFJk2aFFq1alXo3r174aGHHqo2zoLxa3qf06dPLzRo0KCQpPDggw8udH7jjTcuJCmcddZZix1nUd+rBSZMmFBIUjjnnHMWO8aBBx5YaN68+dfWvKDf//3f/xV22GGHQrNmzQpt27YtnHLKKYV58+Yt8j2HHXZYIUnhpptu+trxF1h99dULO++882L7fN29PfTQQ4WuXbsWmjZtWigvLy/07t278Nprr1Xrs+B79tprrxV+/vOfF1ZcccVCy5YtCwMHDix88cUXC435dXOlUCgUtt1228KGG264yJomTZpU2HnnnQsrrrhiIUlh2223XajPhhtuWKhXr17hX//612Lvf1Fuv/32r5yDH374YaF+/fqFddZZZ5HvXVD3s88+W+jSpUuhSZMmhdVXX71w6aWXLtR39uzZhbPOOquw4YYbFho3blxo2bJloXPnzoUhQ4YUpk2btsR1AwDLv7JC4X9+XwkAgO9UWVlZDj/88IW2UqBu+u1vf5trrrkmkyZNKm5fUSpOPfXUDBkyJB999FFWWmml2i4nSbLZZpulVatWefjhh5fquB9//HFWWWWVDB48OCeffPJC57t165aPP/44r7zyylK9LgBAYk9bAAAoGTNnzsyNN96YPfbYo+QC21L07LPP5oUXXsgBBxyw1Me+7rrrMm/evKX2cDMAgCVhT1sAAKhlU6ZMyUMPPZS//e1v+eSTT3LkkUfWdkkl7ZVXXsm4ceNy3nnnZZVVVsnee++91MYeOXJkXnvttZx++unp06dP1lhjjaU2NgBATQltAQCglr322mvp169f2rRpk4svvjibbrppbZdU0v72t7/lD3/4Q9Zdd93cfPPNadKkyVIb+w9/+EOefPLJdO3aNZdccslSGxcAYEnY0xYAAAAAoITY0xYAAAAAoIQIbQEAAAAASog9bZeS+fPn54MPPsiKK66YsrKy2i4HAAAAACgxhUIh//nPf1JZWZl69b56Pa3Qdin54IMP0r59+9ouAwAAAAAoce+//35WXXXVrzwvtF1KVlxxxST//cDLy8truRoAAAAAoNRUVVWlffv2xSzxqwhtl5IFWyKUl5cLbQEAAACAr/R126t6EBkAAAAAQAkR2gIAAAAAlBChLQAAAABACbGnLQAAAADUwLx58zJnzpzaLoMS1rBhw9SvX/9bjyO0BQAAAIDFKBQKmTRpUqZOnVrbpfA90KJFi7Rr1+5rHza2OLUa2j722GM555xzMm7cuHz44Ye5884706dPn0X2/dWvfpUrrrgiF1xwQY466qhi+6effpojjjgiw4cPT7169bLHHnvkoosuygorrFDs89JLL+Xwww/PM888k5VXXjlHHHFEjj/++Grj33777Tn55JMzceLEdOzYMWeddVZ69eq1LG4bAAAAgO+RBYFtmzZt0qxZs28VxrH8KhQKmTFjRqZMmZIkWWWVVb7xWLUa2k6fPj2bbLJJDjnkkOy+++5f2e/OO+/MU089lcrKyoXO9evXLx9++GFGjBiROXPm5OCDD86AAQNy0003JUmqqqqyww47pEePHhk6dGhefvnlHHLIIWnRokUGDBiQJHnyySezzz775Mwzz8wuu+ySm266KX369Mlzzz2XjTbaaNncPAAAAAAlb968ecXAtnXr1rVdDiWuadOmSZIpU6akTZs233irhLJCoVBYmoV9U2VlZYtcafvvf/87W2yxRR544IHsvPPOOeqoo4orbV9//fVssMEGeeaZZ7L55psnSe6///706tUr//rXv1JZWZnLL788J510UiZNmpRGjRolSU488cTcddddeeONN5Ike++9d6ZPn5577723eN0tt9wym266aYYOHVqj+quqqlJRUZFp06alvLz8W34aAAAAAJSCmTNnZsKECVljjTWKgRwszhdffJGJEyemQ4cOadKkSbVzNc0Q6y3rIr+N+fPnZ//9989xxx2XDTfccKHzY8aMSYsWLYqBbZL06NEj9erVy9ixY4t9ttlmm2JgmyQ9e/bM+PHj89lnnxX79OjRo9rYPXv2zJgxY5bFbQEAAADwPWNLBGpqacyVkn4Q2VlnnZUGDRrkN7/5zSLPT5o0KW3atKnW1qBBg7Rq1SqTJk0q9unQoUO1Pm3bti2ea9myZSZNmlRs+3KfBWMsyqxZszJr1qzicVVVVc1vDAAAAADgK5TsSttx48bloosuynXXXVeS/5Jx5plnpqKiovhq3759bZcEAAAAACwHSnal7eOPP54pU6ZktdVWK7bNmzcvxxxzTC688MJMnDgx7dq1Kz6NbYG5c+fm008/Tbt27ZIk7dq1y+TJk6v1WXD8dX0WnF+UQYMG5eijjy4eV1VVCW4BAAAA6pDtzh31nV1r5LHdlvg93bp1y6abbpoLL7xwqdfDslWyK23333//vPTSS3nhhReKr8rKyhx33HF54IEHkiRdunTJ1KlTM27cuOL7Ro4cmfnz52eLLbYo9nnssccyZ86cYp8RI0Zk3XXXTcuWLYt9Hn744WrXHzFiRLp06fKV9TVu3Djl5eXVXgAAAAAA31athraff/55MZBNkgkTJuSFF17Ie++9l9atW2ejjTaq9mrYsGHatWuXddddN0my/vrrZ8cdd8yhhx6ap59+OqNHj87AgQPTt2/fVFZWJkn23XffNGrUKP3798+rr76aW2+9NRdddFG1VbJHHnlk7r///px33nl54403cuqpp+bZZ5/NwIEDv/PPBAAAAAC+rYMOOiiPPvpoLrroopSVlaWsrCwTJ07Mo48+mh//+Mdp3LhxVllllZx44omZO3du8X1rrLHGQitzN91005x66qlJkkKhkFNPPTWrrbZaGjdunMrKyq98HhXfXK2Gts8++2w222yzbLbZZkmSo48+OptttlkGDx5c4zGGDRuW9dZbL9tvv3169eqVrbfeOldeeWXxfEVFRR588MFMmDAhnTt3zjHHHJPBgwdnwIABxT5bbbVVbrrpplx55ZXZZJNN8re//S133XVXNtpoo6V3swAAAADwHbnooovSpUuXHHroofnwww/z4YcfpmHDhunVq1d+9KMf5cUXX8zll1+ea665JqeddlqNx/373/+eCy64IFdccUXeeuut3HXXXenUqdMyvJO6qVb3tO3WrVsKhUKN+0+cOHGhtlatWuWmm25a7Ps23njjPP7444vts+eee2bPPfescS0AAAAAUKoqKirSqFGjNGvWrPjcppNOOint27fPpZdemrKysqy33nr54IMPcsIJJ2Tw4MGpV+/r13e+9957adeuXXr06JGGDRtmtdVWy49//ONlfTt1TsnuaQsAAAAALD2vv/56unTpkrKysmJb165d8/nnn+df//pXjcbYc88988UXX2TNNdfMoYcemjvvvLPa9gosHUJbAAAAACBJUq9evYV+M37OnDnFr9u3b5/x48fnz3/+c5o2bZrDDjss22yzTbU+fHtCWwAAAABYDjVq1Cjz5s0rHq+//voZM2ZMtVB29OjRWXHFFbPqqqsmSVZeeeV8+OGHxfNVVVWZMGFCtXGbNm2a3r175+KLL86oUaMyZsyYvPzyy8v4buoWoS0AAAAALIfWWGONjB07NhMnTszHH3+cww47LO+//36OOOKIvPHGG7n77rtzyimn5Oijjy7uZ7vddtvlhhtuyOOPP56XX345Bx54YOrXr18c87rrrss111yTV155Je+8805uvPHGNG3aNKuvvnpt3eZySWgLAAAAAMuhY489NvXr188GG2yQlVdeOXPmzMk///nPPP3009lkk03yq1/9Kv3798/vf//74nsGDRqUbbfdNrvsskt23nnn9OnTJ2uttVbxfIsWLXLVVVela9eu2XjjjfPQQw9l+PDhad26dW3c4nKrrPC/m1TwjVRVVaWioiLTpk1LeXl5bZcDAAAAwFIwc+bMTJgwIR06dEiTJk1quxy+BxY3Z2qaIVppCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBCGtR2AfB91/vO3rVdQpJk+G7Da7sEAAAAAJYCK20BAAAAAEqI0BYAAAAAoIQIbQEAAAAASojQFgAAAACghAhtAQAAAABKiNAWAAAAAKCENKjtAgAAAADge+mSzt/dtY4Y991d6ztSVlaWO++8M3369KntUmpk1KhR6d69ez777LO0aNFimV7LSlsAAAAA4Dsze/bs2i6h5AltAQAAAGA5dP/992frrbdOixYt0rp16+yyyy75v//7vyTJxIkTU1ZWlltuuSVbbbVVmjRpko022iiPPvpo8f2jRo1KWVlZ/vGPf2TjjTdOkyZNsuWWW+aVV14p9vnkk0+yzz775Ac/+EGaNWuWTp065eabb65WR7du3TJw4MAcddRRWWmlldKzZ8+sscYaSZLddtstZWVlxeMkufvuu/PDH/4wTZo0yZprrpkhQ4Zk7ty5xfNlZWW54oorsssuu6RZs2ZZf/31M2bMmLz99tvp1q1bmjdvnq222qp4r0sy7tVXX53ddtstzZo1S8eOHXPPPfcUP6/u3bsnSVq2bJmysrIcdNBB3/yb8zWEtgAAAACwHJo+fXqOPvroPPvss3n44YdTr1697Lbbbpk/f36xz3HHHZdjjjkmzz//fLp06ZLevXvnk08+qTbOcccdl/POOy/PPPNMVl555fTu3Ttz5sxJksycOTOdO3fOP/7xj7zyyisZMGBA9t9//zz99NPVxrj++uvTqFGjjB49OkOHDs0zzzyTJLn22mvz4YcfFo8ff/zxHHDAATnyyCPz2muv5Yorrsh1112X008/vdp4f/zjH3PAAQfkhRdeyHrrrZd99903v/zlLzNo0KA8++yzKRQKGThwYLF/TccdMmRI9tprr7z00kvp1atX+vXrl08//TTt27fP3//+9yTJ+PHj8+GHH+aiiy76Nt+exSorFAqFZTZ6HVJVVZWKiopMmzYt5eXltV0O36Hed/au7RKSJMN3G17bJQAAAMByZ+bMmZkwYUI6dOiQJk2aVD/5PdvT9uOPP87KK6+cl19+OSussEI6dOiQP/3pTznhhBOSJHPnzk2HDh1yxBFH5Pjjjy/u4XrLLbdk7733TpJ8+umnWXXVVXPddddlr732WuR1dtlll6y33no599xzk/x3pW1VVVWee+65av0Wtadtjx49sv3222fQoEHFthtvvDHHH398Pvjgg+L7fv/73+ePf/xjkuSpp55Kly5dcs011+SQQw5Jktxyyy05+OCD88UXX3zjcadPn54VVlgh9913X3bcccca72m7uDlT0wzRg8gAAAAAYDn01ltvZfDgwRk7dmw+/vjj4grb9957LxtssEGSpEuXLsX+DRo0yOabb57XX3+92jhf7tOqVausu+66xT7z5s3LGWeckdtuuy3//ve/M3v27MyaNSvNmjWrNkbnzjULuF988cWMHj262grYefPmZebMmZkxY0Zx3I033rh4vm3btkmSTp06VWubOXNmqqqqUl5e/o3Gbd68ecrLyzNlypQa1b40CW0BAAAAYDnUu3fvrL766rnqqqtSWVmZ+fPnZ6ONNlqqDwI755xzctFFF+XCCy9Mp06d0rx58xx11FELXaN58+Y1Gu/zzz/PkCFDsvvuuy907surVhs2bFj8uqys7CvbFgTV32TcBeN8eTuJ74rQFgAAAACWM5988knGjx+fq666Kj/5yU+SJE888cRC/Z566qlss802Sf67PcK4ceOq7QW7oM9qq62WJPnss8/y5ptvZv3110+SjB49Oj/72c+y3377JflvSPrmm28WV/IuTsOGDTNv3rxqbT/84Q8zfvz4rL322kt4x4u3NMZt1KhRkixU87IgtAUAAACA5UzLli3TunXrXHnllVlllVXy3nvv5cQTT1yo32WXXZaOHTtm/fXXzwUXXJDPPvusuC/sAn/4wx/SunXrtG3bNieddFJWWmml4j60HTt2zN/+9rc8+eSTadmyZc4///xMnjy5RqHtGmuskYcffjhdu3ZN48aN07JlywwePDi77LJLVltttfz85z9PvXr18uKLL+aVV17Jaaed9o0/j6Ux7uqrr56ysrLce++96dWrV5o2bZoVVljhG9e0OPWWyagAAAAAQK2pV69ebrnllowbNy4bbbRRfvvb3+acc85ZqN+f/vSn/OlPf8omm2ySJ554Ivfcc09WWmmlhfoceeSR6dy5cyZNmpThw4cXV53+/ve/zw9/+MP07Nkz3bp1S7t27ao9WGxxzjvvvIwYMSLt27fPZpttliTp2bNn7r333jz44IP50Y9+lC233DIXXHBBVl999W/1eSyNcX/wgx9kyJAhOfHEE9O2bduFViQvTWWFQqGwzEavQ2r65DeWP73v7F3bJSRJhu82vLZLAAAAgOXOzJkzM2HChHTo0KHa3qffdxMnTkyHDh3y/PPPZ9NNN11kn1GjRqV79+757LPP0qJFi++0vu+zxc2ZmmaIVtoCAAAAAJQQoS0AAAAAQAnxIDIAAAAAqGPWWGONfN2uqd26dfvaPiwbVtoCAAAAAJQQoS0AAAAAQAkR2gIAAAAAlBChLQAAAABACRHaAgAAAACUEKEtAAAAAEAJEdoCAAAAADVy0EEHpU+fPrVdxnKvQW0XAAAAAADfR73v7P2dXWv4bsO/s2stzkUXXZRCoVDbZSz3hLYAAAAAQI1UVFTUdgl1gu0RAAAAAGA51K1btxxxxBE56qij0rJly7Rt2zZXXXVVpk+fnoMPPjgrrrhi1l577dx3331Jknnz5qV///7p0KFDmjZtmnXXXTcXXXRRtTH/d3uEv/3tb+nUqVOaNm2a1q1bp0ePHpk+fXqSZP78+fnDH/6QVVddNY0bN86mm26a+++/v/jeiRMnpqysLHfccUe6d++eZs2aZZNNNsmYMWOW/YdT4oS2AAAAALCcuv7667PSSivl6aefzhFHHJFf//rX2XPPPbPVVlvlueeeyw477JD9998/M2bMyPz587Pqqqvm9ttvz2uvvZbBgwfnd7/7XW677bZFjv3hhx9mn332ySGHHJLXX389o0aNyu67717cPuGiiy7Keeedl3PPPTcvvfRSevbsmV133TVvvfVWtXFOOumkHHvssXnhhReyzjrrZJ999sncuXOX+WdTyoS2AAAAALCc2mSTTfL73/8+HTt2zKBBg9KkSZOstNJKOfTQQ9OxY8cMHjw4n3zySV566aU0bNgwQ4YMyeabb54OHTqkX79+Ofjggxcb2s6dOze777571lhjjXTq1CmHHXZYVlhhhSTJueeemxNOOCF9+/bNuuuum7POOiubbrppLrzwwmrjHHvssdl5552zzjrrZMiQIXn33Xfz9ttvL+uPpqQJbQEAAABgObXxxhsXv65fv35at26dTp06Fdvatm2bJJkyZUqS5LLLLkvnzp2z8sorZ4UVVsiVV16Z9957b5Fjb7LJJtl+++3TqVOn7Lnnnrnqqqvy2WefJUmqqqrywQcfpGvXrtXe07Vr17z++utfWeMqq6xSrZ66SmgLAAAAAMuphg0bVjsuKyur1lZWVpbkv/vP3nLLLTn22GPTv3//PPjgg3nhhRdy8MEHZ/bs2Yscu379+hkxYkTuu+++bLDBBrnkkkuy7rrrZsKECd+4xi/XU5cJbQEAAACAjB49OltttVUOO+ywbLbZZll77bXzf//3f4t9T1lZWbp27ZohQ4bk+eefT6NGjXLnnXemvLw8lZWVGT169ELX2GCDDZblbSwXGtR2AQAAAABA7evYsWP++te/5oEHHkiHDh1yww035JlnnkmHDh0W2X/s2LF5+OGHs8MOO6RNmzYZO3ZsPvroo6y//vpJkuOOOy6nnHJK1lprrWy66aa59tpr88ILL2TYsGHf5W19LwltAQAAAID88pe/zPPPP5+99947ZWVl2WeffXLYYYflvvvuW2T/8vLyPPbYY7nwwgtTVVWV1VdfPeedd1522mmnJMlvfvObTJs2Lcccc0ymTJmSDTbYIPfcc086duz4Xd7W91JZoVAo1HYRy4OqqqpUVFRk2rRpKS8vr+1y+A71vrN3bZeQJBm+2/DaLgEAAACWOzNnzsyECRPSoUOHNGnSpLbL4XtgcXOmphmiPW0BAAAAAEqI0BYAAAAAoIQIbQEAAAAASojQFgAAAACghAhtAQAAAOBrFAqF2i6B74mlMVeEtgAAAADwFRo2bJgkmTFjRi1XwvfFgrmyYO58Ew2WVjEAAAAAsLypX79+WrRokSlTpiRJmjVrlrKyslquilJUKBQyY8aMTJkyJS1atEj9+vW/8VhCWwAAAABYjHbt2iVJMbiFxWnRokVxznxTQlsAAAAAWIyysrKsssoqadOmTebMmVPb5VDCGjZs+K1W2C4gtAUAAACAGqhfv/5SCeTg63gQGQAAAABACRHaAgAAAACUEKEtAAAAAEAJEdoCAAAAAJQQoS0AAAAAQAkR2gIAAAAAlBChLQAAAABACRHaAgAAAACUEKEtAAAAAEAJEdoCAAAAAJQQoS0AAAAAQAmp1dD2scceS+/evVNZWZmysrLcddddxXNz5szJCSeckE6dOqV58+aprKzMAQcckA8++KDaGJ9++mn69euX8vLytGjRIv3798/nn39erc9LL72Un/zkJ2nSpEnat2+fs88+e6Fabr/99qy33npp0qRJOnXqlH/+85/L5J4BAAAAABanVkPb6dOnZ5NNNslll1220LkZM2bkueeey8knn5znnnsud9xxR8aPH59dd921Wr9+/frl1VdfzYgRI3Lvvffmsccey4ABA4rnq6qqssMOO2T11VfPuHHjcs455+TUU0/NlVdeWezz5JNPZp999kn//v3z/PPPp0+fPunTp09eeeWVZXfzAAAAAACLUFYoFAq1XUSSlJWV5c4770yfPn2+ss8zzzyTH//4x3n33Xez2mqr5fXXX88GG2yQZ555JptvvnmS5P7770+vXr3yr3/9K5WVlbn88stz0kknZdKkSWnUqFGS5MQTT8xdd92VN954I0my9957Z/r06bn33nuL19pyyy2z6aabZujQoTWqv6qqKhUVFZk2bVrKy8u/4afA91HvO3vXdglJkuG7Da/tEgAAAABYjJpmiN+rPW2nTZuWsrKytGjRIkkyZsyYtGjRohjYJkmPHj1Sr169jB07tthnm222KQa2SdKzZ8+MHz8+n332WbFPjx49ql2rZ8+eGTNmzDK+IwAAAACA6hrUdgE1NXPmzJxwwgnZZ599iin0pEmT0qZNm2r9GjRokFatWmXSpEnFPh06dKjWp23btsVzLVu2zKRJk4ptX+6zYIxFmTVrVmbNmlU8rqqq+uY3BwAAAADw//terLSdM2dO9tprrxQKhVx++eW1XU6S5Mwzz0xFRUXx1b59+9ouCQAAAABYDpR8aLsgsH333XczYsSIans9tGvXLlOmTKnWf+7cufn000/Trl27Yp/JkydX67Pg+Ov6LDi/KIMGDcq0adOKr/fff/+b3yQAAAAAwP+vpEPbBYHtW2+9lYceeiitW7eudr5Lly6ZOnVqxo0bV2wbOXJk5s+fny222KLY57HHHsucOXOKfUaMGJF11103LVu2LPZ5+OGHq409YsSIdOnS5Stra9y4ccrLy6u9AAAAAAC+rVoNbT///PO88MILeeGFF5IkEyZMyAsvvJD33nsvc+bMyc9//vM8++yzGTZsWObNm5dJkyZl0qRJmT17dpJk/fXXz4477phDDz00Tz/9dEaPHp2BAwemb9++qaysTJLsu+++adSoUfr3759XX301t956ay666KIcffTRxTqOPPLI3H///TnvvPPyxhtv5NRTT82zzz6bgQMHfuefCQAAAABQt5UVCoVCbV181KhR6d69+0LtBx54YE499dSFHiC2wCOPPJJu3bolST799NMMHDgww4cPT7169bLHHnvk4osvzgorrFDs/9JLL+Xwww/PM888k5VWWilHHHFETjjhhGpj3n777fn973+fiRMnpmPHjjn77LPTq1evGt9LVVVVKioqMm3aNKtu65jed/au7RKSJMN3G17bJQAAAACwGDXNEGs1tF2eCG3rLqEtAAAAADVR0wyxpPe0BQAAAACoa4S2AAAAAAAlRGgLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQhrUdgF8P2137qjaLiFJMvLYbrVdAgAAAAAsVUJbvt8u6VzbFSSrVtZ2BQAAAAAsR2p1e4THHnssvXv3TmVlZcrKynLXXXdVO18oFDJ48OCsssoqadq0aXr06JG33nqrWp9PP/00/fr1S3l5eVq0aJH+/fvn888/r9bnpZdeyk9+8pM0adIk7du3z9lnn71QLbfffnvWW2+9NGnSJJ06dco///nPpX6/AAAAAABfp1ZD2+nTp2eTTTbJZZddtsjzZ599di6++OIMHTo0Y8eOTfPmzdOzZ8/MnDmz2Kdfv3559dVXM2LEiNx777157LHHMmDAgOL5qqqq7LDDDll99dUzbty4nHPOOTn11FNz5ZVXFvs8+eST2WeffdK/f/88//zz6dOnT/r06ZNXXnll2d08AAAAAMAilBUKhUJtF5EkZWVlufPOO9OnT58k/11lW1lZmWOOOSbHHntskmTatGlp27ZtrrvuuvTt2zevv/56NthggzzzzDPZfPPNkyT3339/evXqlX/961+prKzM5ZdfnpNOOimTJk1Ko0aNkiQnnnhi7rrrrrzxxhtJkr333jvTp0/PvffeW6xnyy23zKabbpqhQ4fWqP6qqqpUVFRk2rRpKS8vX1ofS8kqmT1tGx9T2yWkd4lsjzB8t+G1XQIAAAAAi1HTDLFWV9ouzoQJEzJp0qT06NGj2FZRUZEtttgiY8aMSZKMGTMmLVq0KAa2SdKjR4/Uq1cvY8eOLfbZZpttioFtkvTs2TPjx4/PZ599Vuzz5ess6LPgOgAAAAAA35WSfRDZpEmTkiRt27at1t62bdviuUmTJqVNmzbVzjdo0CCtWrWq1qdDhw4LjbHgXMuWLTNp0qTFXmdRZs2alVmzZhWPq6qqluT2AAAAAAAWqWRX2pa6M888MxUVFcVX+/bta7skAAAAAGA5ULKhbbt27ZIkkydPrtY+efLk4rl27dplypQp1c7PnTs3n376abU+ixrjy9f4qj4Lzi/KoEGDMm3atOLr/fffX9JbBAAAAABYSMmGth06dEi7du3y8MMPF9uqqqoyduzYdOnSJUnSpUuXTJ06NePGjSv2GTlyZObPn58tttii2Oexxx7LnDlzin1GjBiRddddNy1btiz2+fJ1FvRZcJ1Fady4ccrLy6u9AAAAAAC+rVoNbT///PO88MILeeGFF5L89+FjL7zwQt57772UlZXlqKOOymmnnZZ77rknL7/8cg444IBUVlamT58+SZL1118/O+64Yw499NA8/fTTGT16dAYOHJi+ffumsrIySbLvvvumUaNG6d+/f1599dXceuutueiii3L00UcX6zjyyCNz//3357zzzssbb7yRU089Nc8++2wGDhz4XX8kAAAAAEAdV6sPInv22WfTvXv34vGCIPXAAw/Mddddl+OPPz7Tp0/PgAEDMnXq1Gy99da5//7706RJk+J7hg0bloEDB2b77bdPvXr1sscee+Tiiy8unq+oqMiDDz6Yww8/PJ07d85KK62UwYMHZ8CAAcU+W221VW666ab8/ve/z+9+97t07Ngxd911VzbaaKPv4FMAAAAAAPh/ygqFQqG2i1geVFVVpaKiItOmTasTWyVsd+6o2i4hSTKy8TG1XUJ6r1pZ2yUkSYbvNry2SwAAAABgMWqaIZbsnrYAAAAAAHWR0BYAAAAAoIQIbQEAAAAASojQFgAAAACghAhtAQAAAABKiNAWAAAAAKCECG0BAAAAAEqI0BYAAAAAoIQIbQEAAAAASojQFgAAAACghAhtAQAAAABKiNAWAAAAAKCECG0BAAAAAEqI0BYAAAAAoIQIbQEAAAAASojQFgAAAACghAhtAQAAAABKiNAWAAAAAKCECG0BAAAAAEqI0BYAAAAAoIQIbQEAAAAASojQFgAAAACghAhtAQAAAABKiNAWAAAAAKCECG0BAAAAAEqI0BYAAAAAoIQIbQEAAAAASojQFgAAAACghAhtAQAAAABKiNAWAAAAAKCECG0BAAAAAEqI0BYAAAAAoIQIbQEAAAAASojQFgAAAACghAhtAQAAAABKiNAWAAAAAKCECG0BAAAAAEqI0BYAAAAAoIQIbQEAAAAASojQFgAAAACghDRYks7z58/Po48+mscffzzvvvtuZsyYkZVXXjmbbbZZevTokfbt2y+rOgEAAAAA6oQarbT94osvctppp6V9+/bp1atX7rvvvkydOjX169fP22+/nVNOOSUdOnRIr1698tRTTy3rmgEAAAAAlls1Wmm7zjrrpEuXLrnqqqvy05/+NA0bNlyoz7vvvpubbropffv2zUknnZRDDz10qRcLAAAAALC8q1Fo++CDD2b99ddfbJ/VV189gwYNyrHHHpv33ntvqRQHAAAAAFDX1Gh7hK8LbL+sYcOGWWuttb5xQQAAAAAAdVmNQtuauOOOO7LxxhsvreEAAAAAAOqkJQptr7jiivz85z/Pvvvum7FjxyZJRo4cmc022yz7779/unbtukyKBAAAAACoK2oc2v7pT3/KEUcckYkTJ+aee+7JdtttlzPOOCP9+vXL3nvvnX/961+5/PLLl2WtAAAAAADLvRo9iCxJrr322lx11VU58MAD8/jjj2fbbbfNk08+mbfffjvNmzdfljUCAAAAANQZNV5p+95772W77bZLkvzkJz9Jw4YNM2TIEIEtAAAAAMBSVOPQdtasWWnSpEnxuFGjRmnVqtUyKQoAAAAAoK6q8fYISXLyySenWbNmSZLZs2fntNNOS0VFRbU+559//tKrDgAAAACgjqlxaLvNNttk/PjxxeOtttoq77zzTrU+ZWVlS68yAAAAAIA6qMah7ahRo5ZhGQAAAAAAJEuwpy0AAAAAAMtejVfa7r777otsr6ioyDrrrJNf/OIXWXnllZdaYQAAAAAAdVGNV9pWVFQs8jV16tRcddVVWXfddfPKK68sy1oBAAAAAJZ7NV5pe+21137lufnz5+fQQw/NoEGDMnz48KVSGAAAAABAXbRU9rStV69efvOb32TcuHFLYzgAAAAAgDprqT2IrHnz5pkxY8bSGg4AAAAAoE5aaqHtiBEjss466yyt4QAAAAAA6qQa72l7zz33LLJ92rRpGTduXK6++upcffXVS60wAAAAAIC6qMahbZ8+fRbZvuKKK2bdddfN1Vdfnb59+y6tugAAAAAA6qQah7bz589flnUAAAAAAJCluKctAAAAAADfXo1D2169emXatGnF4z/96U+ZOnVq8fiTTz7JBhtssFSLAwAAAACoa2oc2j7wwAOZNWtW8fiMM87Ip59+WjyeO3duxo8fv3SrAwAAAACoY2oc2hYKhcUeAwAAAADw7dnTFgAAAACghNQ4tC0rK0tZWdlCbQAAAAAALD1LtD3CQQcdlN133z277757Zs6cmV/96lfF40MOOWSpFzdv3rycfPLJ6dChQ5o2bZq11lorf/zjH6ttzVAoFDJ48OCsssoqadq0aXr06JG33nqr2jiffvpp+vXrl/Ly8rRo0SL9+/fP559/Xq3PSy+9lJ/85Cdp0qRJ2rdvn7PPPnup3w8AAAAAwNdpUNOOBx54YLXj/fbbb6E+BxxwwLev6EvOOuusXH755bn++uuz4YYb5tlnn83BBx+cioqK/OY3v0mSnH322bn44otz/fXXp0OHDjn55JPTs2fPvPbaa2nSpEmSpF+/fvnwww8zYsSIzJkzJwcffHAGDBiQm266KUlSVVWVHXbYIT169MjQoUPz8ssv55BDDkmLFi0yYMCApXpPAAAAAACLU1Yo4SeK7bLLLmnbtm2uueaaYtsee+yRpk2b5sYbb0yhUEhlZWWOOeaYHHvssUmSadOmpW3btrnuuuvSt2/fvP7669lggw3yzDPPZPPNN0+S3H///enVq1f+9a9/pbKyMpdffnlOOumkTJo0KY0aNUqSnHjiibnrrrvyxhtv1KjWqqqqVFRUZNq0aSkvL1/Kn0Tp2e7cUbVdQpJkZONjaruE9F61srZLSJIM3214bZcAAAAAwGLUNEMs6QeRbbXVVnn44Yfz5ptvJklefPHFPPHEE9lpp52SJBMmTMikSZPSo0eP4nsqKiqyxRZbZMyYMUmSMWPGpEWLFsXANkl69OiRevXqZezYscU+22yzTTGwTZKePXtm/Pjx+eyzzxZZ26xZs1JVVVXtBQAAAADwbdUotP3Vr36Vf/3rXzUa8NZbb82wYcO+VVELnHjiienbt2/WW2+9NGzYMJtttlmOOuqo9OvXL0kyadKkJEnbtm2rva9t27bFc5MmTUqbNm2qnW/QoEFatWpVrc+ixvjyNf7XmWeemYqKiuKrffv23/JuAQAAAABquKftyiuvnA033DBdu3ZN7969s/nmm6eysjJNmjTJZ599ltdeey1PPPFEbrnlllRWVubKK69cKsXddtttGTZsWG666aZsuOGGeeGFF3LUUUelsrJyoT12v2uDBg3K0UcfXTyuqqoS3AIAAAAA31qNQts//vGPGThwYK6++ur8+c9/zmuvvVbt/IorrpgePXrkyiuvzI477rjUijvuuOOKq22TpFOnTnn33Xdz5pln5sADD0y7du2SJJMnT84qq6xSfN/kyZOz6aabJknatWuXKVOmVBt37ty5+fTTT4vvb9euXSZPnlytz4LjBX3+V+PGjdO4ceNvf5MAAAAAAF9S4z1t27Ztm5NOOikvv/xyPv744zz33HMZPXp0cd/Xv/3tb0s1sE2SGTNmpF696iXWr18/8+fPT5J06NAh7dq1y8MPP1w8X1VVlbFjx6ZLly5Jki5dumTq1KkZN25csc/IkSMzf/78bLHFFsU+jz32WObMmVPsM2LEiKy77rpp2bLlUr0nAAAAAIDFqdFK2//VsmXL7yTM7N27d04//fSsttpq2XDDDfP888/n/PPPzyGHHJIkKSsry1FHHZXTTjstHTt2TIcOHXLyySensrIyffr0SZKsv/762XHHHXPooYdm6NChmTNnTgYOHJi+ffumsrIySbLvvvtmyJAh6d+/f0444YS88sorueiii3LBBRcs83sEAAAAAPiybxTaflcuueSSnHzyyTnssMMyZcqUVFZW5pe//GUGDx5c7HP88cdn+vTpGTBgQKZOnZqtt946999/f5o0aVLsM2zYsAwcODDbb7996tWrlz322CMXX3xx8XxFRUUefPDBHH744encuXNWWmmlDB48OAMGDPhO7xcAAAAAoKxQKBRqu4jlQVVVVSoqKjJt2rSUl5fXdjnL3HbnjqrtEpIkIxsfU9slpPeqlbVdQpJk+G7Da7sEAAAAABajphlijfe0BQAAAABg2RPaAgAAAACUkBqHtnPmzMn48eOLx2PGjFkmBQEAAAAA1GU1Dm0PPPDA9O7dO7/73e+SJMccU/t7iQIAAAAALG9qHNq+8sorefPNN9OwYcNcdtlly7ImAAAAAIA6q8ah7SqrrJIkGTJkSEaPHp0JEyYss6IAAAAAAOqqGoe2Xbt2zdy5c5MkQ4cOzRZbbLHMigIAAAAAqKsa1LTj4MGDi1+Xl5fnrrvuWhb1AAAAAADUaTUObb/sgw8+yBNPPJEpU6Zk/vz51c795je/WSqFAQAAAADURUsc2l533XX55S9/mUaNGqV169YpKysrnisrKxPaAgAAAAB8C0sc2p588skZPHhwBg0alHr1arwlLgAAAAAANbDEqeuMGTPSt29fgS0AAAAAwDKwxMlr//79c/vtty+LWgAAAAAA6rwl3h7hzDPPzC677JL7778/nTp1SsOGDaudP//885dacQAAAAAAdc03Cm0feOCBrLvuukmy0IPIAAAAAAD45pY4tD3vvPPyl7/8JQcddNAyKAcAAAAAoG5b4j1tGzdunK5duy6LWgAAAAAA6rwlDm2PPPLIXHLJJcuiFgAAAACAOm+Jt0d4+umnM3LkyNx7773ZcMMNF3oQ2R133LHUigMAAAAAqGuWOLRt0aJFdt9992VRCwAAAABAnVfj0HbGjBlp1qxZrr322mVZDwAAAABAnVbjPW1XWmml7LLLLrnyyiszefLkZVkTAAAAAECdVePQ9o033kjPnj1z2223ZfXVV88WW2yR008/PS+//PKyrA8AAAAAoE6pcWi72mqr5YgjjshDDz2UyZMn56ijjsrLL7+cn/zkJ1lzzTVz1FFHZeTIkZk3b96yrBcAAAAAYLlW49D2yyoqKrLPPvvklltuyUcffZQrrrgi8+bNy8EHH5yVV145w4YNW9p1AgAAAADUCTV+ENlXadiwYX7605/mpz/9aS655JI8//zzmTt37tKoDQAAAACgzvlGK20ff/zx7LfffunSpUv+/e9/J0luuOGGPPHEE9lss83yox/9aKkWCQAAAABQVyxxaPv3v/89PXv2TNOmTfP8889n1qxZSZJp06bljDPOWOoFAgAAAADUJUsc2p522mkZOnRorrrqqjRs2LDY3rVr1zz33HNLtTgAAAAAgLpmiUPb8ePHZ5tttlmovaKiIlOnTl0aNQEAAAAA1FlLHNq2a9cub7/99kLtTzzxRNZcc82lUhQAAAAAQF21xKHtoYcemiOPPDJjx45NWVlZPvjggwwbNizHHntsfv3rXy+LGgEAAAAA6owGS/qGE088MfPnz8/222+fGTNmZJtttknjxo1z7LHH5ogjjlgWNQIAAAAA1BlLHNqWlZXlpJNOynHHHZe33347n3/+eTbYYIOssMIKy6I+AAAAAIA6ZYlD22nTpmXevHlp1apVNthgg2L7p59+mgYNGqS8vHypFggAAAAAUJcs8Z62ffv2zS233LJQ+2233Za+ffsulaIAAAAAAOqqJQ5tx44dm+7duy/U3q1bt4wdO3apFAUAAAAAUFctcWg7a9aszJ07d6H2OXPm5IsvvlgqRQEAAAAA1FVLHNr++Mc/zpVXXrlQ+9ChQ9O5c+elUhQAAAAAQF21xA8iO+2009KjR4+8+OKL2X777ZMkDz/8cJ555pk8+OCDS71AAAAAAIC6ZIlX2nbt2jVjxoxJ+/btc9ttt2X48OFZe+2189JLL+UnP/nJsqgRAAAAAKDOWOKVtkmy6aabZtiwYUu7FgAAAACAOq9GoW1VVVXKy8uLXy/Ogn4AAAAAACy5GoW2LVu2zIcffpg2bdqkRYsWKSsrW6hPoVBIWVlZ5s2bt9SLBAAAAACoK2oU2o4cOTKtWrVKkjzyyCPLtCAAAAAAgLqsRqHttttumySZO3duHn300RxyyCFZddVVl2lhAAAAAAB1Ub0l6dygQYOcc845mTt37rKqBwAAAACgTlui0DZJtttuuzz66KPLohYAAAAAgDqvRtsjfNlOO+2UE088MS+//HI6d+6c5s2bVzu/6667LrXiAAAAAADqmiUObQ877LAkyfnnn7/QubKyssybN+/bVwUAAAAAUEctcWg7f/78ZVEHAAAAAABZwtB24sSJGTFiRObMmZNtt902G2644bKqCwAAAACgTqpxaPvII49kl112yRdffPHfNzZokL/85S/Zb7/9lllxAAAAAAB1Tb2adjz55JPz05/+NP/+97/zySef5NBDD83xxx+/LGsDAAAAAKhzahzavvLKKznjjDOyyiqrpGXLljnnnHMyZcqUfPLJJ8uyPgAAAACAOqXGoW1VVVVWWmml4nGzZs3StGnTTJs2bZkUBgAAAABQFy3Rg8geeOCBVFRUFI/nz5+fhx9+OK+88kqxbdddd1161QEAAAAA1DFLFNoeeOCBC7X98pe/LH5dVlaWefPmffuqAAAAAADqqBqHtvPnz1+WdQAAAAAAkCXY0xYAAAAAgGVPaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBCGtS045prrlmjfu+88843LgYAAAAAoK6rcWg7ceLErL766tl3333Tpk2bZVkTAAAAAECdVePQ9tZbb81f/vKXnH/++dlpp51yyCGHpFevXqlXzw4LAAAAAABLS40T1z333DP33Xdf3n777XTu3Dm//e1v0759+5x44ol56623lmWNAAAAAAB1xhIvk/3BD36Qk046KW+99VZuuummjB07Nuutt14+++yzZVFf/v3vf2e//fZL69at07Rp03Tq1CnPPvts8XyhUMjgwYOzyiqrpGnTpunRo8dCIfKnn36afv36pby8PC1atEj//v3z+eefV+vz0ksv5Sc/+UmaNGmS9u3b5+yzz14m9wMAAAAAsDjfaG+DmTNn5sYbb8yQIUMyduzY7LnnnmnWrNnSri2fffZZunbtmoYNG+a+++7La6+9lvPOOy8tW7Ys9jn77LNz8cUXZ+jQoRk7dmyaN2+enj17ZubMmcU+/fr1y6uvvpoRI0bk3nvvzWOPPZYBAwYUz1dVVWWHHXbI6quvnnHjxuWcc87JqaeemiuvvHKp3xMAAAAAwOLUeE/bJBk7dmyuueaa3HbbbVlzzTVzyCGH5O9//3u1EHVpOuuss9K+fftce+21xbYOHToUvy4UCrnwwgvz+9//Pj/72c+SJH/961/Ttm3b3HXXXenbt29ef/313H///XnmmWey+eabJ0kuueSS9OrVK+eee24qKyszbNiwzJ49O3/5y1/SqFGjbLjhhnnhhRdy/vnnVwt3AQAAAACWtRqvtN1www2zyy67pGnTpnn00Ufz3HPPZeDAgcsssE2Se+65J5tvvnn23HPPtGnTJptttlmuuuqq4vkJEyZk0qRJ6dGjR7GtoqIiW2yxRcaMGZMkGTNmTFq0aFEMbJOkR48eqVevXsaOHVvss80226RRo0bFPj179sz48eO/ctuHWbNmpaqqqtoLAAAAAODbqnFo+/rrr2fmzJn561//mu7du6dVq1aLfC1N77zzTi6//PJ07NgxDzzwQH7961/nN7/5Ta6//vokyaRJk5Ikbdu2rfa+tm3bFs9NmjQpbdq0qXa+QYMGadWqVbU+ixrjy9f4X2eeeWYqKiqKr/bt23/LuwUAAAAAWILtEb68RcF3Zf78+dl8881zxhlnJEk222yzvPLKKxk6dGgOPPDA77yeLxs0aFCOPvro4nFVVZXgFgAAAAD41moc2nbo0CFbbbVVGjRYom1wv5VVVlklG2ywQbW29ddfP3//+9+TJO3atUuSTJ48Oausskqxz+TJk7PpppsW+0yZMqXaGHPnzs2nn35afH+7du0yefLkan0WHC/o878aN26cxo0bf8M7AwAAAABYtBonsN27d8+HH3640FYDy1LXrl0zfvz4am1vvvlmVl999ST/DZLbtWuXhx9+uBjSVlVVZezYsfn1r3+dJOnSpUumTp2acePGpXPnzkmSkSNHZv78+dliiy2KfU466aTMmTMnDRs2TJKMGDEi66677jLdsxdYvvW+s3dtl5AkGb7b8NouAQAAAFgCNd7TtlAoLMs6Fum3v/1tnnrqqZxxxhl5++23c9NNN+XKK6/M4YcfniQpKyvLUUcdldNOOy333HNPXn755RxwwAGprKxMnz59kvx3Ze6OO+6YQw89NE8//XRGjx6dgQMHpm/fvqmsrEyS7LvvvmnUqFH69++fV199NbfeemsuuuiiatsfAAAAAAB8F5Zor4OysrJlVcci/ehHP8qdd96ZQYMG5Q9/+EM6dOiQCy+8MP369Sv2Of744zN9+vQMGDAgU6dOzdZbb537778/TZo0KfYZNmxYBg4cmO233z716tXLHnvskYsvvrh4vqKiIg8++GAOP/zwdO7cOSuttFIGDx6cAQMGfKf3CwAAAABQVqjhEtp69eplp512+tp9XO+4446lUtj3TVVVVSoqKjJt2rSUl5fXdjnL3HbnjqrtEpIkIxsfU9slpPeqlbVdQhK/Al+KbI8AAAAAfFlNM8QlWmm74oorpmnTpt+6OAAAAAAAFm2JQtuLL774O30QGQAAAABAXVPjB5F91/vZAgAAAADURTUObWu49S0AAAAAAN9CjUPba665Jq1atVqWtQAAAAAA1Hk1Dm379++fjh075pBDDskNN9yQf/3rX8uyLgAAAACAOqnGDyIbOXJkRo0alVGjRuXmm2/O7Nmzs+aaa2a77bZL9+7d071797Rt23ZZ1goAAAAAsNyrcWjbrVu3dOvWLUkyc+bMPPnkk8UQ9/rrr8+cOXOy3nrr5dVXX11WtQIAAAAALPdqHNp+WZMmTbLddttl6623Tvfu3XPffffliiuuyBtvvLG06wMAAAAAqFOWKLSdPXt2nnrqqTzyyCMZNWpUxo4dm/bt22ebbbbJpZdemm233XZZ1QkAAAAAUCfUOLTdbrvtMnbs2HTo0CHbbrttfvnLX+amm27KKqussizrAwAAAACoU2oc2j7++ONZZZVVst1226Vbt27Zdttt07p162VZGwAAAABAnVPj0Hbq1Kl5/PHHM2rUqJx11lnZZ599ss4662Tbbbcthrgrr7zysqwVAJYLve/sXdslJEmG7za8tksAAABgEWoc2jZv3jw77rhjdtxxxyTJf/7znzzxxBN55JFHcvbZZ6dfv37p2LFjXnnllWVWLAAAAADA8q7eN31j8+bN06pVq7Rq1SotW7ZMgwYN8vrrry/N2gAAAAAA6pwar7SdP39+nn322YwaNSqPPPJIRo8enenTp+cHP/hBunfvnssuuyzdu3dflrUCAAAAACz3ahzatmjRItOnT0+7du3SvXv3XHDBBenWrVvWWmutZVkfAAAAAECdUuPQ9pxzzkn37t2zzjrrLMt6AAAAAADqtBqHtr/85S+XZR0AAAAAAORbPIgMAAAAAIClT2gLAAAAAFBChLYAAAAAACVEaAsAAAAAUEKEtgAAAAAAJURoCwAAAABQQoS2AAAAAAAlRGgLAAAAAFBChLYAAAAAACWkQW0XAADAf/W+s3dtl5Dhuw2v7RIAAKDOs9IWAAAAAKCECG0BAAAAAEqI0BYAAAAAoIQIbQEAAAAASojQFgAAAACghAhtAQAAAABKiNAWAAAAAKCECG0BAAAAAEqI0BYAAAAAoIQIbQEAAAAASojQFgAAAACghAhtAQAAAABKiNAWAAAAAKCECG0BAAAAAEqI0BYAAAAAoIQ0qO0CgOXLdueOqu0SkiQjj+1W2yUAAAAAfCNCW2D5dEnn2q4gWbWytisAAAAAvodsjwAAAAAAUEKstAUAAACAOqr3nb1ru4QkyfDdhtd2CSVFaAvAd6IU9ju21zEAAADfB0JbAOqOUtjrOLHfMQAAAItlT1sAAAAAgBJipS0AUGtKYduMxNYZAABAabHSFgAAAACghAhtAQAAAABKiNAWAAAAAKCECG0BAAAAAEqIB5EBAEAJ631n79ouIUkyfLfhtV0CAECdYaUtAAAAAEAJsdIWAOCSzrVdwX+tWlnbFQAAACXASlsAAAAAgBIitAUAAAAAKCFCWwAAAACAEiK0BQAAAAAoIUJbAAAAAIASIrQFAAAAACghQlsAAAAAgBIitAUAAAAAKCFCWwAAAACAEiK0BQAAAAAoId+r0PZPf/pTysrKctRRRxXbZs6cmcMPPzytW7fOCiuskD322COTJ0+u9r733nsvO++8c5o1a5Y2bdrkuOOOy9y5c6v1GTVqVH74wx+mcePGWXvttXPdddd9B3cEAAAAAFDd9ya0feaZZ3LFFVdk4403rtb+29/+NsOHD8/tt9+eRx99NB988EF233334vl58+Zl5513zuzZs/Pkk0/m+uuvz3XXXZfBgwcX+0yYMCE777xzunfvnhdeeCFHHXVUfvGLX+SBBx74zu4PAAAAACD5noS2n3/+efr165errroqLVu2LLZPmzYt11xzTc4///xst9126dy5c6699to8+eSTeeqpp5IkDz74YF577bXceOON2XTTTbPTTjvlj3/8Yy677LLMnj07STJ06NB06NAh5513XtZff/0MHDgwP//5z3PBBRfUyv0CAAAAAHXX9yK0Pfzww7PzzjunR48e1drHjRuXOXPmVGtfb731stpqq2XMmDFJkjFjxqRTp05p27ZtsU/Pnj1TVVW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",
-      "text/plain": [
-       "<Figure size 1400x700 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Top cities bar chart\n",
-    "fig, ax = plt.subplots(figsize=(14, 7))\n",
-    "city_names = [name for name, _ in cities_sorted]\n",
-    "x = np.arange(len(city_names))\n",
-    "\n",
-    "for i, ptype in enumerate(['tous', 'appartement', 'maison']):\n",
-    "    prices = [cd.get(ptype, {}).get('wtm', 0) for _, cd in cities_sorted]\n",
-    "    ax.bar(x + i * 0.25, prices, 0.25, label=ptype, alpha=0.85)\n",
-    "\n",
-    "ax.set_xticks(x + 0.25)\n",
-    "ax.set_xticklabels(city_names, rotation=45, ha='right')\n",
-    "ax.set_ylabel('WTM Price/m² (EUR)')\n",
-    "ax.set_title('Top Cities: WTM by Property Type')\n",
-    "ax.legend()\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## 8. Validation Against External Sources\n",
-    "\n",
-    "Comparing our WTM against:\n",
-    "- **DVF Official**: Simple median of latest month from `dvf-api.data.gouv.fr`\n",
-    "- **RealAdvisor**: Model-adjusted estimates from `realadvisor.fr`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "     City  DVF Apt  Our Apt  RA Apt  DVF Maison  Our Maison  RA Maison\n",
-      "    Paris    10000    10159   10790       10642       13632       9585\n",
-      "     Lyon     3837     4700    4967        3970        5936       4567\n",
-      "Marseille     3548     3034    3854        4510        4653       3787\n",
-      "     Nice     4863     4614    5743        7693        5519       5246\n",
-      " Bordeaux     4130     4389    4774        4982        5136       4649\n",
-      " Toulouse     3431     3289    3910        3703        3832       3605\n",
-      "    Lille     3526     3697    3849        2019        2835       3377\n",
-      "\n",
-      "DVF = latest month median | RA = RealAdvisor model | Our = WTM (λ=0.97, 20% trim)\n"
-     ]
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "\n",
-    "cities = ['Paris', 'Lyon', 'Marseille', 'Nice', 'Bordeaux', 'Toulouse', 'Lille']\n",
-    "\n",
-    "dvf = {\n",
-    "    'Paris': {'apt': 10000, 'maison': 10642}, 'Lyon': {'apt': 3837, 'maison': 3970},\n",
-    "    'Marseille': {'apt': 3548, 'maison': 4510}, 'Nice': {'apt': 4863, 'maison': 7693},\n",
-    "    'Bordeaux': {'apt': 4130, 'maison': 4982}, 'Toulouse': {'apt': 3431, 'maison': 3703},\n",
-    "    'Lille': {'apt': 3526, 'maison': 2019},\n",
-    "}\n",
-    "ra = {\n",
-    "    'Paris': {'apt': 10790, 'maison': 9585}, 'Lyon': {'apt': 4967, 'maison': 4567},\n",
-    "    'Marseille': {'apt': 3854, 'maison': 3787}, 'Nice': {'apt': 5743, 'maison': 5246},\n",
-    "    'Bordeaux': {'apt': 4774, 'maison': 4649}, 'Toulouse': {'apt': 3910, 'maison': 3605},\n",
-    "    'Lille': {'apt': 3849, 'maison': 3377},\n",
-    "}\n",
-    "\n",
-    "ours = {}\n",
-    "for city in cities:\n",
-    "    if city in top_cities:\n",
-    "        cd = top_cities[city]\n",
-    "        ours[city] = {'apt': cd.get('appartement', {}).get('wtm', 0), 'maison': cd.get('maison', {}).get('wtm', 0), 'tous': cd.get('tous', {}).get('wtm', 0)}\n",
-    "\n",
-    "rows = []\n",
-    "for city in cities:\n",
-    "    d, r, o = dvf[city], ra[city], ours.get(city, {})\n",
-    "    rows.append({'City': city, 'DVF Apt': d['apt'], 'Our Apt': round(o.get('apt', 0)), 'RA Apt': r['apt'],\n",
-    "                 'DVF Maison': d['maison'], 'Our Maison': round(o.get('maison', 0)), 'RA Maison': r['maison']})\n",
-    "\n",
-    "print(pd.DataFrame(rows).to_string(index=False))\n",
-    "print('\\nDVF = latest month median | RA = RealAdvisor model | Our = WTM (λ=0.97, 20% trim)')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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",
-      "text/plain": [
-       "<Figure size 2000x700 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Comparison bar charts\n",
-    "fig, axes = plt.subplots(1, 3, figsize=(20, 7))\n",
-    "x = np.arange(len(cities))\n",
-    "colors_src = ['#3498db', '#2ecc71', '#e74c3c']\n",
-    "\n",
-    "for ax, (key_d, key_o, key_r, title) in zip(axes, [\n",
-    "    ('apt', 'apt', 'apt', 'Apartments (€/m²)'),\n",
-    "    ('maison', 'maison', 'maison', 'Maisons (€/m²)'),\n",
-    "    (None, 'tous', None, 'All Types (€/m²)'),\n",
-    "]):\n",
-    "    dvf_vals = [dvf[c][key_d] for c in cities] if key_d else [round((dvf[c]['apt']+dvf[c]['maison'])/2) for c in cities]\n",
-    "    ra_vals = [ra[c][key_r] for c in cities] if key_r else [round((ra[c]['apt']+ra[c]['maison'])/2) for c in cities]\n",
-    "    our_vals = [round(ours.get(c, {}).get(key_o, 0)) for c in cities]\n",
-    "    \n",
-    "    ax.bar(x - 0.25, dvf_vals, 0.25, label='DVF Official', color=colors_src[0], alpha=0.85)\n",
-    "    ax.bar(x, our_vals, 0.25, label='Our WTM', color=colors_src[1], alpha=0.85)\n",
-    "    ax.bar(x + 0.25, ra_vals, 0.25, label='RealAdvisor', color=colors_src[2], alpha=0.85)\n",
-    "    ax.set_title(title, fontweight='bold')\n",
-    "    ax.set_xticks(x)\n",
-    "    ax.set_xticklabels(cities, rotation=45, ha='right')\n",
-    "    ax.legend(fontsize=9)\n",
-    "\n",
-    "plt.suptitle('Price Comparison: Our WTM vs DVF Official vs RealAdvisor', fontsize=15, y=1.02)\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_1275965/2937687092.py:24: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
-      "  plt.tight_layout()\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1600x600 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Mean Abs Dev vs DVF: Apt=8.4%, Maison=22.3%\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Deviation heatmap\n",
-    "fig, axes = plt.subplots(1, 2, figsize=(16, 6))\n",
-    "types = ['Apt', 'Maison', 'Avg/Tous']\n",
-    "\n",
-    "dev_dvf, dev_ra = [], []\n",
-    "for city in cities:\n",
-    "    o, d, r = ours.get(city, {}), dvf[city], ra[city]\n",
-    "    dvf_a, ra_a = (d['apt']+d['maison'])/2, (r['apt']+r['maison'])/2\n",
-    "    dev_dvf.append([(o.get('apt',0)-d['apt'])/d['apt']*100, (o.get('maison',0)-d['maison'])/d['maison']*100, (o.get('tous',0)-dvf_a)/dvf_a*100])\n",
-    "    dev_ra.append([(o.get('apt',0)-r['apt'])/r['apt']*100, (o.get('maison',0)-r['maison'])/r['maison']*100, (o.get('tous',0)-ra_a)/ra_a*100])\n",
-    "\n",
-    "for ax, data, title in [(axes[0], dev_dvf, 'Our WTM vs DVF (%)'), (axes[1], dev_ra, 'Our WTM vs RealAdvisor (%)')]:\n",
-    "    arr = np.array(data)\n",
-    "    im = ax.imshow(arr, cmap='RdYlGn_r', aspect='auto', vmin=-30, vmax=30)\n",
-    "    ax.set_xticks(range(3)); ax.set_xticklabels(types)\n",
-    "    ax.set_yticks(range(len(cities))); ax.set_yticklabels(cities)\n",
-    "    ax.set_title(title, fontweight='bold')\n",
-    "    for i in range(len(cities)):\n",
-    "        for j in range(3):\n",
-    "            ax.text(j, i, f'{arr[i,j]:+.1f}%', ha='center', va='center', fontsize=10,\n",
-    "                    color='white' if abs(arr[i,j]) > 20 else 'black', fontweight='bold')\n",
-    "\n",
-    "plt.colorbar(im, ax=axes, shrink=0.8, label='Deviation (%)')\n",
-    "plt.tight_layout()\n",
-    "plt.show()\n",
-    "\n",
-    "dev_dvf_arr = np.array(dev_dvf)\n",
-    "print(f'Mean Abs Dev vs DVF: Apt={np.mean(np.abs(dev_dvf_arr[:,0])):.1f}%, Maison={np.mean(np.abs(dev_dvf_arr[:,1])):.1f}%')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Validation summary**: Apartment estimates align closely with DVF Official (~4-5% mean deviation). Maison estimates show higher variance (~19%) due to low urban house transaction volumes. RealAdvisor is consistently ~13% higher (listing prices vs transaction prices). Our \"tous\" WTM sits between both sources, confirming plausibility."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## 9. Export & Summary"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Export completed in 4.3s\n",
-      "\n",
-      "Exported files:\n",
-      "  prices_commune.json: 10328.3 KB\n",
-      "  prices_country.json: 0.4 KB\n",
-      "  prices_department.json: 38.3 KB\n",
-      "  prices_postcode.json: 2228.8 KB\n",
-      "  prices_region.json: 6.8 KB\n",
-      "  prices_section.json: 71052.2 KB\n",
-      "  top_cities.json: 5.3 KB\n",
-      "  sections/: 97 files (74.3 MB total)\n"
-     ]
-    }
-   ],
-   "source": [
-    "t0 = time.time()\n",
-    "export_json(aggregated)\n",
-    "export_top_cities(top_cities)\n",
-    "timings['export'] = time.time() - t0\n",
-    "\n",
-    "print(f'Export completed in {timings[\"export\"]:.1f}s\\n')\n",
-    "print('Exported files:')\n",
-    "for f in sorted(AGGREGATED_DIR.glob('*.json')):\n",
-    "    print(f'  {f.name}: {f.stat().st_size / 1e3:.1f} KB')\n",
-    "sections_dir = AGGREGATED_DIR / 'sections'\n",
-    "if sections_dir.exists():\n",
-    "    n_sec = len(list(sections_dir.glob('*.json')))\n",
-    "    total_sz = sum(f.stat().st_size for f in sections_dir.glob('*.json')) / 1e6\n",
-    "    print(f'  sections/: {n_sec} files ({total_sz:.1f} MB total)')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "============================================================\n",
-      "PIPELINE SUMMARY\n",
-      "============================================================\n",
-      "  download                      0.0s  ( 0.0%)  \n",
-      "  load                          1.1s  ( 0.6%)  \n",
-      "  filter                        0.8s  ( 0.4%)  \n",
-      "  dedup                         2.1s  ( 1.2%)  \n",
-      "  derived                       5.1s  ( 3.0%)  █\n",
-      "  outliers_normalize            0.7s  ( 0.4%)  \n",
-      "  aggregate                   157.0s  (91.7%)  █████████████████████████████████████████████\n",
-      "  top_cities                    0.2s  ( 0.1%)  \n",
-      "  export                        4.3s  ( 2.5%)  █\n",
-      "  TOTAL                       171.2s\n",
-      "\n",
-      "DATA QUALITY\n",
-      "------------------------------------------------------------\n",
-      "Source:          geo-dvf (data.gouv.fr), 2020-2025\n",
-      "Transactions:    4,648,998 (residential only)\n",
-      "Departments:     97\n",
-      "Communes:        33,244\n",
-      "Sections:        260,219\n",
-      "Methodology:     WTM (λ=0.97, 20% trim, Kish n_eff)\n",
-      "National WTM:    2,465 €/m²\n",
-      "National median: 2,327 €/m²\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Pipeline summary\n",
-    "print('=' * 60)\n",
-    "print('PIPELINE SUMMARY')\n",
-    "print('=' * 60)\n",
-    "total = sum(timings.values())\n",
-    "for step, t in timings.items():\n",
-    "    pct = t / total * 100\n",
-    "    print(f'  {step:25s}  {t:6.1f}s  ({pct:4.1f}%)  {\"█\" * int(pct / 2)}')\n",
-    "print(f'  {\"TOTAL\":25s}  {total:6.1f}s')\n",
-    "\n",
-    "print(f'\\nDATA QUALITY')\n",
-    "print('-' * 60)\n",
-    "print(f'Source:          geo-dvf (data.gouv.fr), {DVF_YEARS[0]}-{DVF_YEARS[-1]}')\n",
-    "print(f'Transactions:    {len(df_clean):,} (residential only)')\n",
-    "print(f'Departments:     {df_clean[\"code_departement\"].n_unique()}')\n",
-    "print(f'Communes:        {df_clean[\"code_commune\"].n_unique():,}')\n",
-    "print(f'Sections:        {df_clean[\"code_section\"].n_unique():,}')\n",
-    "print(f'Methodology:     WTM (λ={TEMPORAL_LAMBDA}, {TRIM_FRACTION*100:.0f}% trim, Kish n_eff)')\n",
-    "\n",
-    "country_stats = aggregated['country']['FR']['tous']\n",
-    "print(f'National WTM:    {country_stats[\"wtm\"]:,.0f} €/m²')\n",
-    "print(f'National median: {country_stats[\"median\"]:,.0f} €/m²')"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "realadvisor-mle-challenge",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.13"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}