feat(extract): Küste, Straßenflächen, Brückenerkennung, Mittellinien

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

tools/extract/tests/test_vectors.py

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+import numpy as np
+from leonida.classify import CLASSES
+from leonida.vectors import land_polygons, mask_polygons, road_polygons
+
+def test_square_becomes_one_polygon_with_right_area():
+    mask = np.zeros((100, 100), dtype=bool)
+    mask[20:60, 30:80] = True                       # 40 x 50 Pixel = 2000 m²
+    polys = mask_polygons(mask, min_area=10, simplify=1.0)
+    assert len(polys) == 1
+    assert abs(polys[0].area - 2000) < 60           # Vereinfachung darf etwas abweichen
+
+def test_island_keeps_its_lagoon():
+    labels = np.full((80, 80), CLASSES["wasser"], dtype=np.uint8)
+    labels[10:70, 10:70] = CLASSES["land"]
+    labels[30:50, 30:50] = CLASSES["wasser"]        # Lagune
+    polys = land_polygons(labels)
+    assert len(polys) == 1
+    assert len(polys[0].interiors) == 1
+
+def test_road_over_water_is_flagged_as_bridge():
+    labels = np.full((60, 60), CLASSES["wasser"], dtype=np.uint8)
+    labels[0:10, :] = CLASSES["land"]
+    labels[25:31, :] = CLASSES["strasse"]           # Damm quer durchs Wasser
+    roads = road_polygons(labels)
+    assert len(roads) == 1
+    assert roads[0][1] is True
+
+def test_crossing_roads_form_a_single_polygon():
+    labels = np.full((60, 60), CLASSES["land"], dtype=np.uint8)
+    labels[28:32, :] = CLASSES["strasse"]
+    labels[:, 28:32] = CLASSES["strasse"]
+    roads = road_polygons(labels)
+    assert len(roads) == 1                          # Kreuzung, kein Zerfall in vier Arme