dc-l1-tokyo-ring-orientation

Rerun

{
  "type": "FeatureCollection",
  "name": "tokyo_buildings_legacy",
  "crs": {
    "type": "name",
    "properties": {
      "name": "urn:ogc:def:crs:OGC:1.3:CRS84"
    }
  },
  "features": [
    {
      "type": "Feature",
      "geometry": {
        "type": "Polygon",
        "coordinates": [
          [
            [
              139.7029081,
              35.6592372
            ],

   feature_id  ...                                           geometry
0           1  ...  POLYGON ((139.70291 35.65924, 139.7028 35.6592...
1           2  ...  POLYGON ((139.70109 35.6602, 139.70109 35.6600...
2           3  ...  POLYGON ((139.70112 35.66167, 139.70099 35.661...
3           4  ...  POLYGON ((139.70327 35.66018, 139.7033 35.6601...
4           5  ...  POLYGON ((139.70158 35.6592, 139.70161 35.6592...

[5 rows x 6 columns]
Polygon    100
Name: count, dtype: int64
True    100
Name: count, dtype: int64

Traceback (most recent call last):
  File "<string>", line 1, in <module>
    import geopandas as gpd; gdf = gpd.read_file('tokyo_buildings_legacy.geojson'); gdf.iloc[0].geometry.coords[0][:5]
                                                                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.14/site-packages/shapely/geometry/polygon.py", line 266, in coords
    raise NotImplementedError(
        "Component rings have coordinate sequences, but the polygon does not"
    )
NotImplementedError: Component rings have coordinate sequences, but the polygon does not

count    100.000000
mean       0.050000
std        0.219043
min        0.000000
25%        0.000000
50%        0.000000
75%        0.000000
max        1.000000
Name: geometry, dtype: float64

geometry
False    100
Name: count, dtype: int64
geometry
[]        95
[True]     5
Name: count, dtype: int64

geometry
0    95
1     5
Name: count, dtype: int64

cat << 'EOF' > solve.py
import geopandas as gpd
from shapely.geometry import Polygon

def fix_polygon(poly):
    if poly.is_empty:
        return poly
    
    # Exterior should be CCW for GeoJSON standard (though many viewers are lenient, 
    # the problem description suggests incorrect shading which often comes from 
    # winding order issues or incorrect nesting).
    # Wait, GeoJSON spec (RFC 7946) says: "A linear ring is counter-clockwise."
    # Wait, actually: "The exterior ring of a polygon is counter-clockwise, 
    # and the interior rings are clockwise."
    # Let me double check RFC 7946.
    
    # RFC 7946 Section 3.1.6:
    # "A linear ring is defined as an array of position values... 
    # The first and last position values must be equal...
    # The exterior ring of a polygon is counter-clockwise, and the 
    # interior rings are clockwise."
    
    # Actually, checking the standard:
    # "The exterior ring of a polygon is counter-clockwise, and the interior 
    # rings are clockwise."
    # Wait, let me re-read.
    # "The exterior ring of a polygon is counter-clockwise, and the interior rings are clockwise."
    # Let me verify this with a common source. 
    # Standard GeoJSON (RFC 7946) actually says:
    # "the exterior ring of a polygon is counter-clockwise, and the interior rings are clockwise."
    # WAIT. I just checked the RFC. It says:
    # "A linear ring is counter-clockwise."
    # It doesn't explicitly specify CCW for exterior and CW for interior in the sense 
    # of "one must be X and other must be Y", it just says "A linear ring is counter-clockwise".
    # Actually, let's look at the behavior described: "interiors are shaded incorrectly: 
    # holes appear filled and exteriors render as empty space."
    # This is a classic sign of inverted winding order. 
    # If the exterior is CW instead of CCW, it might be seen as a hole.
    # If the interior is CCW instead of CW, it might be seen as a solid.
    
    # My previous check showed:
    # exterior.is_ccw is False for all 100.
    # interior rings (where they exist) are CCW for 5.
    
    # Let's re-orient all exteriors to CCW and all interiors to CW.
    
    # Extract coordinates
    ext_coords = list(poly.exterior.coords)
    # Shapely's is_ccw uses the Shoelace formula.
    # If not CCW, reverse it.
    if not poly.exterior.is_ccw:
        ext_coords = ext_coords[::-1]
    
    # However, reversing coords might mess up the first/last equality if not careful.
    # But ext_coords[::-1] on a closed ring [A, B, C, A] becomes [A, C, B, A]. 
    # This is a valid closed ring.
    
    interiors_coords = []
    for ring in poly.interiors:
        int_coords = list(ring.coords)
        # Interior should be CW.
        if ring.is_ccw:
            int_coords = int_coords[::-1]
        interiors_coords.append(int_coords)
        
    return Polygon(ext_coords, interiors_coords)

def main():
    gdf = gpd.read_file('tokyo_buildings_legacy.geojson')
    
    # Apply the fix
    gdf['geometry'] = gdf['geometry'].apply(fix_polygon)
    
    # Verify if it's valid after fix (sometimes winding order changes can cause issues if not careful, 
    # but Polygon constructor handles it).
    # The prompt says "Every feature must remain a Polygon... do not flatten them."
    
    gdf.to_file('tokyo_buildings_fixed.geojson', driver='GeoJSON')

if __name__ == "__main__":
    main()
EOF
python3 solve.py

geometry
True    100
Name: count, dtype: int64
geometry
[]         95
[False]     5
Name: count, dtype: int64

geometry
True    100
Name: count, dtype: int64
geometry
True    100
Name: count, dtype: int64

# Double check if the geometries are actually the same (except for winding order)
python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_normalized_coords(poly):
    return [list(p) for p in poly.exterior.coords]

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

for i in range(len(gdf_old)):
    old_poly = gdf_old.iloc[i].geometry
    new_poly = gdf_new.iloc[i].geometry
    
    # Check if they have same number of rings
    if len(old_poly.interiors) != len(new_poly.interiors):
        print(f'Mismatch in rings at index {i}')
        break
        
    # Check exterior (ignoring order)
    # A simple way is to check if the set of points is the same
    old_ext = set(old_poly.exterior.coords)
    new_ext = set(new_poly.exterior.coords)
    if old_ext != new_ext:
        print(f'Mismatch in exterior coords at index {i}')
        break
    
    # Check interiors
    for j in range(len(old_poly.interiors)):
        old_int = set(old_poly.interiors[j].coords)
        new_int = set(new_poly.interiors[j].coords)
        if old_int != new_int:
            print(f'Mismatch in interior coords at index {i}, ring {j}')
            break
else:
    print('All geometries match (ignoring winding order)')
"

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_normalized_coords(poly):
    return [list(p) for p in poly.exterior.coords]

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

print(f'Feature 49 old geometry: {gdf_old.iloc[49].geometry.wkt}')
print(f'Feature 49 new geometry: {gdf_new.iloc[49].geometry.wkt}')
"

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_normalized_coords(poly):
    return [list(p) for p in poly.exterior.coords]

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

for i in range(len(gdf_old)):
    old_poly = gdf_old.iloc[i].geometry
    new_poly = gdf_new.iloc[i].geometry
    
    if len(old_poly.interiors) != len(new_poly.interiors):
        print(f'Mismatch in rings at index {i}')
        break
        
    old_ext = set(old_poly.exterior.coords)
    new_ext = set(new_poly.exterior.coords)
    if old_ext != new_ext:
        print(f'Mismatch in exterior coords at index {i}')
        continue
    
    for j in range(len(old_poly.interiors)):
        old_int = set(old_poly.interiors[j].coords)
        new_int = set(new_poly.interiors[j].coords)
        if old_int != new_int:
            print(f'Mismatch in interior coords at index {i}, ring {j}')
            # DON'T BREAK, just print it.
else:
    print('No mismatches found')
"

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_normalized_coords(poly):
    return [list(p) for p in poly.exterior.coords]

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

print(f'Feature 49 old geometry: {gdf_old.iloc[49].geometry.wkt}')
print(f'Feature 49 new geometry: {gdf_new.iloc[49].geometry.wkt}')

old_poly = gdf_old.iloc[49].geometry
new_poly = gdf_new.iloc[49].geometry

print(f'Old interior coords: {list(old_poly.interiors[0].coords)}')
print(f'New interior coords: {list(new_poly.interiors[0].coords)}')
"

Feature 49 old geometry: POLYGON ((139.7036066 35.6604974, 139.7036375 35.6604001, 139.7035278 35.6603771, 139.7034969 35.6604744, 139.7036066 35.6604974), (139.70356017 35.660436047, 139.7035672 35.660436047, 139.7035672 35.660442061999994, 139.70356017 35.660442061999994, 139.70356017 35.660436047))
Feature 49 new geometry: POLYGON ((139.7036066 35.6604974, 139.7034969 35.6604744, 139.7035278 35.6603771, 139.7036375 35.6604001, 139.7036066 35.6604974), (139.70356017 35.660436047, 139.70356017 35.660442062, 139.7035672 35.660442062, 139.7035672 35.660436047, 139.70356017 35.660436047))
Old interior coords: [(139.70356017, 35.660436047), (139.7035672, 35.660436047), (139.7035672, 35.660442061999994), (139.70356017, 35.660442061999994), (139.70356017, 35.660436047)]
New interior coords: [(139.70356017, 35.660436047), (139.70356017, 35.660442062), (139.7035672, 35.660442062), (139.7035672, 35.660436047), (139.70356017, 35.660436047)]

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def fix_polygon(poly):
    if poly.is_empty:
        return poly
    
    ext_coords = list(poly.exterior.coords)
    if not poly.exterior.is_ccw:
        ext_coords = ext_coords[::-1]
    
    interiors_coords = []
    for ring in poly.interiors:
        int_coords = list(ring.coords)
        if ring.is_ccw:
            int_coords = int_coords[::-1]
        interiors_coords.append(int_coords)
        
    return Polygon(ext_coords, interiors_coords)

gdf = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf['geometry'] = gdf['geometry'].apply(fix_polygon)
gdf.to_file('tokyo_buildings_fixed.geojson', driver='GeoJSON')
"

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_coords_list(poly):
    # Returns a list of lists of coordinates (one for each ring)
    rings = [list(poly.exterior.coords)]
    for ring in poly.interiors:
        rings.append(list(ring.coords))
    return rings

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

all_match = True
for i in range(len(gdf_old)):
    old_rings = get_coords_list(gdf_old.iloc[i].geometry)
    new_rings = get_coords_list(gdf_new.iloc[i].geometry)
    
    if len(old_rings) != len(new_rings):
        print(f'Ring count mismatch at index {i}')
        all_match = False
        break
    
    for r in range(len(old_rings)):
        old_r_coords = old_rings[r]
        new_r_coords = new_rings[r]
        
        if len(old_r_coords) != len(new_r_coords):
            print(f'Coord count mismatch at index {i}, ring {r}')
            all_match = False
            break
            
        # Check if the sets of coordinates are the same
        if set(old_r_coords) != set(new_r_coords):
            print(f'Coordinate mismatch at index {i}, ring {r}')
            all_match = False
            break
    if not all_match:
        break

if all_match:
    print('All geometries match perfectly')
else:
    print('Mismatches found')
"

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_coords_list(poly):
    rings = [list(poly.exterior.coords)]
    for ring in poly.interiors:
        rings.append(list(ring.coords))
    return rings

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

old_poly = gdf_old.iloc[49].geometry
new_poly = gdf_new.iloc[49].geometry

print(f'Old rings: {get_coords_list(old_poly)}')
print(f'New rings: {get_coords_list(new_poly)}')
"

cat << 'EOF' > solve.py
import geopandas as gpd
from shapely.geometry import Polygon

def fix_polygon(poly):
    if poly.is_empty:
        return poly
    
    # Exterior
    ext_coords = list(poly.exterior.coords)
    # Check winding order. 
    # We want CCW for exterior.
    # We use the Shoelace formula check via is_ccw.
    # But since we are manually constructing, we should check the current order.
    
    # Creating a temporary polygon to check winding order properly
    temp_poly = Polygon(ext_coords)
    if not temp_poly.exterior.is_ccw:
        ext_coords = ext_coords[::-1]
    
    # Interior rings
    interiors_coords = []
    for ring in poly.interiors:
        int_coords = list(ring.coords)
        # We want CW for interior.
        temp_int_poly = Polygon(int_coords)
        if temp_int_poly.exterior.is_ccw: # interior ring is just a ring
             int_coords = int_coords[::-1]
        interiors_coords.append(int_coords)
        
    return Polygon(ext_coords, interiors_coords)

# Wait, the manual list reversal [::-1] on a closed ring [A, B, C, A] 
# results in [A, C, B, A], which is indeed the reverse order and still closed.

def main():
    gdf = gpd.read_file('tokyo_buildings_legacy.geojson')
    
    # The problem was likely that the winding order was completely inverted.
    # Let's just use a more robust way to ensure the winding order.
    
    def robust_fix(poly):
        if poly.is_empty:
            return poly
        
        # For the exterior:
        ext_coords = list(poly.exterior.coords)
        # In GeoJSON, exterior is CCW.
        # A simple way to ensure CCW is to use the orientation.
        # Shapely's Polygon(coords) might automatically fix it, but let's be explicit.
        # Actually, the issue might be that the coordinates are just reversed.
        
        # Let's try a different approach:
        # 1. Get all rings.
        # 2. For each ring, check if it's CCW or CW.
        # 3. If exterior is CW, reverse it.
        # 4. If interior is CCW, reverse it.
        
        new_ext = list(poly.exterior.coords)
        # Check orientation of the exterior ring
        # sum (x2-x1)(y2+y1)
        area = 0
        for i in range(len(new_ext) - 1):
            area += (new_ext[i+1][0] - new_ext[i][0]) * (new_ext[i+1][1] + new_ext[i][1])
        
        if area > 0: # CW
            new_ext = new_ext[::-1]
            
        new_interiors = []
        for ring in poly.interiors:
            int_coords = list(ring.coords)
            # Check orientation of interior ring
            area = 0
            for i in range(len(int_coords) - 1):
                area += (int_coords[i+1][0] - int_coords[i][0]) * (int_coords[i+1][1] + int_coords[i][1])
            if area < 0: # CCW
                int_coords = int_coords[::-1]
            new_interiors.append(int_coords)
            
        return Polygon(new_ext, new_interiors)

    gdf['geometry'] = gdf['geometry'].apply(robust_fix)
    gdf.to_file('tokyo_buildings_fixed.geojson', driver='GeoJSON')

if __name__ == "__main__":
    main()
EOF
python3 solve.py

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_coords_list(poly):
    rings = [list(poly.exterior.coords)]
    for ring in poly.interiors:
        rings.append(list(ring.coords))
    return rings

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

all_match = True
for i in range(len(gdf_old)):
    old_poly = gdf_old.iloc[i].geometry
    new_poly = gdf_new.iloc[i].geometry
    
    if len(old_poly.interiors) != len(new_poly.interiors):
        print(f'Ring count mismatch at index {i}')
        all_match = False
        break
    
    old_ext = set(old_poly.exterior.coords)
    new_ext = set(new_poly.exterior.coords)
    if old_ext != new_ext:
        print(f'Mismatch in exterior coords at index {i}')
        all_match = False
        break
    
    for j in range(len(old_poly.interiors)):
        old_int = set(old_poly.interiors[j].coords)
        new_int = set(new_poly.interiors[j].coords)
        if old_int != new_int:
            print(f'Mismatch in interior coords at index {i}, ring {j}')
            all_match = False
            break
    if not all_match:
        break

if all_match:
    print('All geometries match perfectly')
else:
    print('Mismatches found')
"

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_coords_list(poly):
    rings = [list(poly.exterior.coords)]
    for ring in poly.interiors:
        rings.append(list(ring.coords))
    return rings

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

old_poly = gdf_old.iloc[49].geometry
new_poly = gdf_new.iloc[49].geometry

print(f'Old ring 0 coords: {get_coords_list(old_poly)[1]}')
print(f'New ring 0 coords: {get_coords_list(new_poly)[1]}')
"

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_coords_list(poly):
    rings = [list(poly.exterior.coords)]
    for ring in poly.interiors:
        rings.append(list(ring.coords))
    return rings

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

old_poly = gdf_old.iloc[49].geometry
new_poly = gdf_new.iloc[49].geometry

print(f'Old ring 0: {get_coords_list(old_poly)[1]}')
print(f'New ring 0: {get_coords_list(new_poly)[1]}')

# Let's see the difference
for i in range(len(get_coords_list(old_poly)[1])):
    print(f'Index {i}: Old={get_coords_list(old_poly)[1][i]}, New={get_coords_list(new_poly)[1][i]}')
"

Old ring 0: [(139.70356017, 35.660436047), (139.7035672, 35.660436047), (139.7035672, 35.660442061999994), (139.70356017, 35.660442061999994), (139.70356017, 35.660436047)]
New ring 0: [(139.70356017, 35.660436047), (139.70356017, 35.660442062), (139.7035672, 35.660442062), (139.7035672, 35.660436047), (139.70356017, 35.660436047)]
Index 0: Old=(139.70356017, 35.660436047), New=(139.70356017, 35.660436047)
Index 1: Old=(139.7035672, 35.660436047), New=(139.70356017, 35.660442062)
Index 2: Old=(139.7035672, 35.660442061999994), New=(139.7035672, 35.660442062)
Index 3: Old=(139.70356017, 35.660442061999994), New=(139.7035672, 35.660436047)
Index 4: Old=(139.70356017, 35.660436047), New=(139.70356017, 35.660436047)

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_coords_list(poly):
    rings = [list(poly.exterior.coords)]
    for ring in poly.interiors:
        rings.append(list(ring.coords))
    return rings

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

old_poly = gdf_old.iloc[49].geometry
new_poly = gdf_new.iloc[49].geometry

print(f'Old ring 0: {get_coords_list(old_poly)[1]}')
print(f'New ring 0: {get_coords_list(new_poly)[1]}')
"

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_coords_list(poly):
    rings = [list(poly.exterior.coords)]
    for ring in poly.interiors:
        rings.append(list(ring.coords))
    return rings

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

old_poly = gdf_old.iloc[49].geometry
new_poly = gdf_new.iloc[49].geometry

print(f'Old ring 0: {get_coords_list(old_poly)[1]}')
print(f'New ring 0: {get_coords_list(new_poly)[1]}')

# Let's look at the coordinates again.
# Old: [(139.70356017, 35.660436047), (139.7035672, 35.660436047), (139.7035672, 35.660442061999994), (139.70356017, 35.660442061999994), (139.70356017, 35.660436047)]
# New: [(139.70356017, 35.660436047), (139.70356017, 35.660442062), (139.7035672, 35.660442062), (139.7035672, 35.660436047), (139.70356017, 35.660436047)]
# The values are almost identical, but floating point precision might have changed.
# 35.660442061999994 vs 35.660442062. This is likely just float representation.
"

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon
import numpy as np

def get_coords_list(poly):
    rings = [list(poly.exterior.coords)]
    for ring in poly.interiors:
        rings.append(list(ring.coords))
    return rings

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

old_poly = gdf_old.iloc[49].geometry
new_poly = gdf_new.iloc[49].geometry

print(f'Old ring 0: {get_coords_list(old_poly)[1]}')
print(f'New ring 0: {get_coords_list(new_poly)[1]}')

# The values are actually different in order too!
# Old: (139.70356017, 35.660436047), (139.7035672, 35.660436047), ...
# New: (139.70356017, 35.660436047), (139.70356017, 35.660442062), ...
# Wait, I see. The order in New is actually different. 
# Let's check if it's just a rotation/reordering.
"

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_coords_list(poly):
    rings = [list(poly.exterior.coords)]
    for ring in poly.interiors:
        rings.append(list(ring.coords))
    return rings

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

old_poly = gdf_old.iloc[49].geometry
new_poly = gdf_new.iloc[49].geometry

print(f'Old ring 0: {get_coords_list(old_poly)[1]}')
print(f'New ring 0: {get_coords_list(new_poly)[1]}')

# Let's check the sets of points
print(f'Old set: {set(get_coords_list(old_poly)[1])}')
print(f'New set: {set(get_coords_list(new_poly)[1])}')
"

Old ring 0: [(139.70356017, 35.660436047), (139.7035672, 35.660436047), (139.7035672, 35.660442061999994), (139.70356017, 35.660442061999994), (139.70356017, 35.660436047)]
New ring 0: [(139.70356017, 35.660436047), (139.70356017, 35.660442062), (139.7035672, 35.660442062), (139.7035672, 35.660436047), (139.70356017, 35.660436047)]
Old set: {(139.70356017, 35.660442061999994), (139.7035672, 35.660442061999994), (139.70356017, 35.660436047), (139.7035672, 35.660436047)}
New set: {(139.70356017, 35.660436047), (139.7035672, 35.660436047), (139.70356017, 35.660442062), (139.7035672, 35.660442062)}

python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_coords_list(poly):
    rings = [list(poly.exterior.coords)]
    for ring in poly.interiors:
        rings.append(list(ring.coords))
    return rings

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

old_poly = gdf_old.iloc[49].geometry
new_poly = gdf_new.iloc[49].geometry

print(f'Old ring 0: {get_coords_list(old_poly)[1]}')
print(f'New ring 0: {get_coords_list(new_poly)[1]}')

# Looking at the coordinates:
# Old: (139.70356017, 35.660436047), (139.7035672, 35.660436047), (139.7035672, 35.660442061999994), (139.70356017, 35.660442061999994), (139.70356017, 35.660436047)
# New: (139.70356017, 35.660436047), (139.70356017, 35.660442062), (139.7035672, 35.660442062), (139.7035672, 35.660436047), (139.70356017, 35.660436047)
#
# Wait! The order of the interior ring is DIFFERENT.
# Let's see. 
# Old: Point 0, Point 1, Point 2, Point 3, Point 0.
# New: Point 0, Point 3, Point 2, Point 1, Point 0.
# It's exactly reversed.
# And the values are slightly different due to float precision.
# So it's NOT a mismatch, it's just the REVERSED order!
# So my script worked.
"

rm solve.py
cat << 'EOF' > solve.py
import geopandas as gpd
from shapely.geometry import Polygon

def fix_polygon(poly):
    if poly.is_empty:
        return poly
    
    # Exterior
    ext_coords = list(poly.exterior.coords)
    # We need exterior to be CCW (counter-clockwise)
    # Using a simple shoelace-based orientation check
    area = 0
    for i in range(len(ext_coords) - 1):
        area += (ext_coords[i+1][0] - ext_coords[i][0]) * (ext_coords[i+1][1] + ext_coords[i][1])
    
    # In this coordinate system (x=lon, y=lat), if area > 0, it's clockwise.
    # GeoJSON standard (RFC 7946) says exterior should be CCW.
    if area > 0:
        ext_coords = ext_coords[::-1]
    
    # Interior rings
    interiors_coords = []
    for ring in poly.interiors:
        int_coords = list(ring.coords)
        # We need interior to be CW (clockwise)
        area = 0
        for i in range(len(int_coords) - 1):
            area += (int_coords[i+1][0] - int_coords[i][0]) * (int_coords[i+1][1] + int_coords[i][1])
        
        # If area < 0, it's CCW.
        if area < 0:
            int_coords = int_coords[::-1]
        interiors_coords.append(int_coords)
        
    return Polygon(ext_coords, interiors_coords)

def main():
    gdf = gpd.read_file('tokyo_buildings_legacy.geojson')
    gdf['geometry'] = gdf['geometry'].apply(fix_polygon)
    gdf.to_file('tokyo_buildings_fixed.geojson', driver='GeoJSON')

if __name__ == "__main__":
    main()
EOF
python3 solve.py

# Final validation of the fixed file
python3 -c "
import geopandas as gpd
from shapely.geometry import Polygon

def get_coords_list(poly):
    rings = [list(poly.exterior.coords)]
    for ring in poly.interiors:
        rings.append(list(ring.coords))
    return rings

gdf_old = gpd.read_file('tokyo_buildings_legacy.geojson')
gdf_new = gpd.read_file('tokyo_buildings_fixed.geojson')

all_match = True
for i in range(len(gdf_old)):
    old_poly = gdf_old.iloc[i].geometry
    new_poly = gdf_new.iloc[i].geometry
    
    if len(old_poly.interiors) != len(new_poly.interiors):
        print(f'Ring count mismatch at index {i}')
        all_match = False
        break
    
    # Check exterior (using set of points to be order-agnostic)
    old_ext = set(old_poly.exterior.coords)
    new_ext = set(new_poly.exterior.coords)
    if old_ext != new_ext:
        # Check if it's just floating point diffs
        # We'll use a more lenient check
        import numpy as np
        old_ext_arr = np.array(list(old_poly.exterior.coords))
        new_ext_arr = np.array(list(new_poly.exterior.coords))
        # Sort both to compare
        old_ext_sorted = old_ext_arr[np.lexsort((old_ext_arr[:,1], old_ext_arr[:,0]))]
        new_ext_sorted = new_ext_arr[np.lexsort((new_ext_arr[:,1], new_ext_arr[:,0]))]
        if not np.allclose(old_ext_sorted, new_ext_sorted, atol=1e-9):
            print(f'Mismatch in exterior coords at index {i}')
            all_match = False
            break
    
    # Check interiors
    for j in range(len(old_poly.interiors)):
        old_int = set(old_poly.interiors[j].coords)
        new_int = set(new_poly.interiors[j].coords)
        if old_int != new_int:
             import numpy as np
             old_int_arr = np.array(list(old_poly.interiors[j].coords))
             new_int_arr = np.array(list(new_poly.interiors[j].coords))
             old_int_sorted = old_int_arr[np.lexsort((old_int_arr[:,1], old_int_arr[:,0]))]
             new_int_sorted = new_int_arr[np.lexsort((new_int_arr[:,1], new_int_arr[:,0]))]
             if not np.allclose(old_int_sorted, new_int_sorted, atol=1e-9):
                print(f'Mismatch in interior coords at index {i}, ring {j}')
                all_match = False
                break
    if not all_match:
        break

if all_match:
    print('All geometries match perfectly')
else:
    print('Mismatches found')
"