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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---
name: add_header_logo
kind: function
lang: py
domain: infra
version: "1.0.0"
purity: impure
signature: "add_header_logo(fig: Figure, image: np.ndarray, x: float = 0.88, y: float = 0.905, width: float = 0.08, height: float = 0.08) -> None"
description: "Añade un logo como axes inset en la esquina superior derecha de una figura matplotlib. Usa fig.add_axes + imshow + axis off. Útil para branding en páginas de informe PDF."
tags: [pdf, matplotlib, logo, report, infra]
uses_functions: []
uses_types: []
returns: []
returns_optional: false
error_type: "error_go_core"
imports: [matplotlib]
params:
- name: fig
desc: "Figura matplotlib donde se inserta el logo."
- name: image
desc: "Array numpy H×W×C con los datos de imagen del logo (e.g. de imread o PIL)."
- name: x
desc: "Borde izquierdo del axes en coordenadas de figura (0-1). Default 0.88."
- name: y
desc: "Borde inferior del axes en coordenadas de figura (0-1). Default 0.905."
- name: width
desc: "Ancho del axes en coordenadas de figura (0-1). Default 0.08."
- name: height
desc: "Alto del axes en coordenadas de figura (0-1). Default 0.08."
output: "None. Modifica la figura in-place añadiendo un axes con el logo."
tested: true
tests:
- "figura nueva con imagen zeros no lanza excepcion"
- "axes de logo tiene axis off"
test_file_path: "python/functions/infra/tests/test_add_header_logo.py"
file_path: "python/functions/infra/add_header_logo.py"
source_repo: "internal:footprint_aurgi"
source_license: "internal-aurgi"
source_file: "ponderacion_isochronas/src/recomendador_centros.py"
---
## Ejemplo
```python
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import numpy as np
logo = np.zeros((50, 200, 3), dtype=np.uint8) # o matplotlib.image.imread("logo.png")
fig, ax = plt.subplots(figsize=(11.69, 8.27))
add_header_logo(fig, logo)
```
## Notas
La posición por defecto (x=0.88, y=0.905) coloca el logo en la esquina superior derecha
para figuras A4 landscape. Ajustar x, y, width, height para otros tamaños.