feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

Extrae al registry funciones del proyecto interno footprint_aurgi:
- core (6): slugify_ascii, normalize_for_join, cp_provincia_es, infer_provincia_from_cp, safe_read_csv_fallback, csv_to_parquet_duckdb
- geo puras (7): haversine_km, point_in_ring, point_in_polygon, point_in_polygons_bbox, polygon_bbox, extent_with_padding, distance_bucket
- geo I/O (4): load_geojson_polygons, load_boundary_gdf, add_basemap_osm, add_basemap_with_timeout
- valhalla client (4): valhalla_route, valhalla_isochrone, valhalla_isochrones_async, valhalla_matrix_1_to_n
- datascience stats (7): trimmed_mean, geometric_mean, detect_distribution_type, best_central_tendency, summary_stats, kde_density_levels, alpha_shape_concave_hull
- datascience fuzzy (3): fuzzy_merge_adaptive (rapidfuzz), words_to_dataset, remove_words_from_column
- datascience viz (2): plot_kde_2d, plot_heatmap_log
- infra (4): compress_pdf_ghostscript, render_table_page_pdfpages, add_header_logo, osm2pgsql_ingest
- pipelines (4): setup_geo_stack_docker, compute_centers_reachability, generate_isochrones_by_zone, count_points_per_zone
- types geo (4): LonLat, BBox, IsochroneRequest, Centro

Incluye:
- apps/footprint_geo_stack/ (PostGIS + Martin + Valhalla via docker-compose)
- 131/132 tests pasan (1 skip esperado: osm2pgsql en PATH)
- Issue tracker dev/issues/0052-footprint-aurgi-extraction.md
- Atribucion uniforme: source_repo internal:footprint_aurgi, source_license internal-aurgi
- Build con 9 agentes en paralelo (8 wave 1 + 1 wave 2 pipelines)

Tambien commitea trabajo previo no commiteado: aggregate_extraction_results, chunk_with_overlap, clean_pdf_text, merge_entity_aliases, extract_graph_gliner2, extract_relations_mrebel, extract_triples_spacy_es, gliner2/mrebel/marianmt/rebel/spacy_es load_model, parse_rebel_output, translate_es_to_en, issue 0050/0051.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

python/pyproject.toml

@@ -5,17 +5,26 @@ description = "Funciones Python del fn-registry: Metabase API, ML, utilidades"
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
+    "contextily>=1.7.0",
     "cryptography>=46.0.6",
+    "duckdb>=1.5.2",
     "fpdf2>=2.8.7",
+    "geopandas>=1.1.3",
     "google-cloud-bigquery>=3.25",
     "google-cloud-bigquery-datatransfer>=3.22.0",
     "google-cloud-bigquery-storage>=2.27",
     "google-cloud-storage>=3.10.1",
     "httpx",
+    "matplotlib>=3.10.9",
     "openpyxl>=3.1.5",
     "pypdf>=6.10.0",
+    "pyproj>=3.7.2",
     "python-docx>=1.2.0",
     "pyyaml>=6.0.3",
+    "rapidfuzz>=3.14.5",
+    "reportlab>=4.5.0",
+    "seaborn>=0.13.2",
+    "shapely>=2.1.2",
     "xlrd>=2.0.2",
 ]