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/functions/datascience/spacy_es_load_model.md

@@ -0,0 +1,61 @@
+---
+name: spacy_es_load_model
+kind: function
+lang: py
+domain: datascience
+version: "1.0.0"
+purity: impure
+signature: "def spacy_es_load_model(model_name: str = 'es_core_news_md') -> Any"
+description: "Carga (y cachea) un modelo spaCy en castellano. Provee POS, dependencias y NER (PER, ORG, LOC, MISC). Usado por extract_triples_spacy_es para OpenIE schema-less. LICENSE: spaCy MIT + es_core_news_md CC BY-SA 4.0."
+tags: [spacy, nlp, spanish, ner, dependency-parsing, openie, model, datascience, python, mit, cc-by-sa]
+uses_functions: []
+uses_types: []
+returns: []
+returns_optional: false
+error_type: "error_go_core"
+imports: [spacy]
+params:
+  - name: model_name
+    desc: "Nombre del modelo spaCy instalado. Default: es_core_news_md (equilibrio precision/tamanio). Alternativas: es_core_news_sm (menor, menos preciso), es_core_news_lg (mayor, mas preciso)."
+output: "Instancia spaCy Language cacheada por model_name. Provee nlp(text) -> Doc con tokens, POS, deps y ents."
+tested: true
+tests:
+  - "cache devuelve la misma instancia"
+  - "OSError si el modelo no esta instalado"
+test_file_path: "python/functions/datascience/tests/test_spacy_es_load_model.py"
+file_path: "python/functions/datascience/spacy_es_load_model.py"
+notes: |
+  LICENSE: spaCy es MIT. El modelo es_core_news_md usa pesos entrenados sobre
+  el corpus CoNLL-2002 (CC BY-SA 4.0). Uso comercial permitido con atribucion.
+
+  Instalar el modelo antes de usar:
+    python -m spacy download es_core_news_md
+
+  impure: carga modelo desde disco la primera vez, mantiene estado en _MODEL_CACHE.
+  Tamanio: es_core_news_md ~43 MB. Primera carga ~1-3s en CPU.
+---
+
+## Ejemplo
+
+```python
+from datascience.spacy_es_load_model import spacy_es_load_model
+
+nlp = spacy_es_load_model()
+
+doc = nlp("Carlos Torres preside BBVA en Bilbao.")
+for ent in doc.ents:
+    print(ent.text, ent.label_)
+# Carlos Torres PER
+# BBVA ORG
+# Bilbao LOC
+```
+
+## Instalacion
+
+```bash
+# En el venv del registry:
+python/.venv/bin/python3 -m spacy download es_core_news_md
+
+# O via uv:
+cd python && uv run python -m spacy download es_core_news_md
+```