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>
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@@ -0,0 +1,46 @@
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---
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id: extent_with_padding_py_geo
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name: extent_with_padding
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kind: function
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lang: py
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domain: geo
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version: "1.0.0"
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purity: pure
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signature: "extent_with_padding(bounds: tuple[float, float, float, float], pad_ratio: float = 0.05) -> tuple[float, float, float, float]"
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description: "Expande un bounding box (minx,miny,maxx,maxy) anadiendo un margen proporcional. La salida es (minx-padx, maxx+padx, miny-pady, maxy+pady)."
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tags: [geo, bbox, extent, padding, matplotlib]
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uses_functions: []
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uses_types: []
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returns: []
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returns_optional: false
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error_type: ""
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imports: []
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example: |
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from geo.extent_with_padding import extent_with_padding
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extent = extent_with_padding((0.0, 0.0, 10.0, 10.0), 0.1)
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# (-1.0, 11.0, -1.0, 11.0)
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tested: true
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tests: ["bbox_cuadrado_con_10_pct", "pad_ratio_cero_no_cambia"]
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test_file_path: "python/functions/geo/tests/test_extent_with_padding.py"
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file_path: "python/functions/geo/extent_with_padding.py"
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params:
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- {name: bounds, desc: "bounding box de entrada como tupla (minx, miny, maxx, maxy)"}
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- {name: pad_ratio, desc: "fraccion del ancho/alto a anadir como margen por cada lado; por defecto 0.05 (5%)"}
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output: "tupla (minx-padx, maxx+padx, miny-pady, maxy+pady) con el extent expandido"
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source_repo: "internal:footprint_aurgi"
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source_license: "internal-aurgi"
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source_file: "ponderacion_isochronas/src/reporte_clientes_aurgi.py:90"
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---
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## Ejemplo
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```python
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from geo.extent_with_padding import extent_with_padding
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extent_with_padding((0.0, 0.0, 10.0, 10.0), 0.1)
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# (-1.0, 11.0, -1.0, 11.0)
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```
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## Notas
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El orden de salida (minx, maxx, miny, maxy) es el que espera matplotlib ax.set_xlim/set_ylim.
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