crs-l1-nyc-webmercator-cycleways

Status: done
Score: 1.000
Duration: 0:19
Cost: 0.14¢
Model: google/gemma-4-26b-a4b-it

Map (reference ← swipe → agent)

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The nyc_cycleways file is what our tile-renderer spat out. Our web map client can't handle the coordinates as-is — it needs standard geographic coordinates that any browser mapping library can consume natively. Convert the geometries so they're in plain latitude/longitude, leave the attributes alone. GeoParquet to nyc_cycleways_wgs84.geoparquet. Keep every geometry as a plain LineString — do not upcast to MultiLineString. Each feature must preserve all original columns, with id as the feature identity key.
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System info 
{
  "adapter": "openrouter",
  "model": "google/gemma-4-26b-a4b-it",
  "base_url": "https://openrouter.ai/api/v1"
}
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Bash ls -F 
nyc_cycleways_webmercator.geoparquet
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Write solve.py
content · 37 lines · py 
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyarrow", "shapely"]
# ///

import geopandas as gpd

input_file = "nyc_cycleways_webmercator.geoparquet"
output_file = "nyc_cycleways_wgs84.geoparquet"

# Load the data
gdf = gpd.read_parquet(input_file)

# Reproject to WGS84 (EPSG:4326)
gdf = gdf.to_crs(epsg=4326)

# Ensure every geometry is a plain LineString (not MultiLineString)
# We can explode MultiLineStrings into individual LineStrings
gdf = gdf.explode(index_parts=False)

# Check if any geometries are still not LineString (e.g. Points or MultiLineString)
# But the prompt says "Keep every geometry as a plain LineString"
# If it was a MultiLineString, explode(index_parts=False) turns it into multiple LineStrings.

# Ensure id is preserved and used as index if needed, 
# but geopandas usually keeps columns.
# The prompt says "id as the feature identity key". 
# In GeoParquet, this usually means it's a column.

# Save to GeoParquet
gdf.to_parquet(output_file)

print(f"Successfully converted {input_file} to {output_file}")
print(f"Original CRS: {gdf.crs}") # This will show the new CRS
print(f"Geometry types in result: {gdf.geometry.type.unique()}")
print(f"Number of features: {len(gdf)}")

Wrote /home/nhp/project/benchmark/harness/.sessions/214baf4644a74473bbfb98d11d99ec30/solve.py (1235 chars).
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Bash uv run solve.py 
Successfully converted nyc_cycleways_webmercator.geoparquet to nyc_cycleways_wgs84.geoparquet
Original CRS: EPSG:4326
Geometry types in result: <ArrowStringArray>
['LineString']
Length: 1, dtype: str
Number of features: 272
Installed 11 packages in 115ms
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Write solve.py
content · 36 lines · py 
# /// script
# requires-python = ">=3.12"
# dependencies = ["geopandas", "pyarrow", "shapely"]
# ///

import geopandas as gpd

input_file = "nyc_cycleways_webmercator.geoparquet"
output_file = "nyc_cycleways_wgs84.geoparquet"

# Load the data
gdf = gpd.read_parquet(input_file)

# Reproject to WGS84 (EPSG:4326)
gdf = gdf.to_crs(epsg=4326)

# Ensure every geometry is a plain LineString (not MultiLineString)
# Explode MultiLineString into individual LineString features
gdf = gdf.explode(index_parts=False)

# The prompt says "with id as the feature identity key". 
# In GeoParquet/GeoPandas, the columns are preserved.
# Let's verify the id column exists.
if 'id' not in gdf.columns:
    print("Warning: 'id' column not found in the original dataset.")
else:
    print(f"Found 'id' column. Sample IDs: {gdf['id'].head().tolist()}")

# Save to GeoParquet
gdf.to_parquet(output_file)

print(f"Successfully converted {input_file} to {output_file}")
print(f"Final CRS: {gdf.crs}")
print(f"Geometry types in result: {gdf.geometry.type.unique()}")
print(f"Number of features in result: {len(gdf)}")

Wrote /home/nhp/project/benchmark/harness/.sessions/214baf4644a74473bbfb98d11d99ec30/solve.py (1095 chars).
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Bash uv run solve.py 
Found 'id' column. Sample IDs: ['008afca9-4118-4569-86a4-e05d2049e5ff', '019954ce-599a-4f44-9509-f5df571ec8a6', '01e21e38-aa74-4a1b-aea5-0c154bc52559', '0241690c-de63-42c3-8049-dd993673823b', '03118a13-69c4-4dac-8677-6d9932e88536']
Successfully converted nyc_cycleways_webmercator.geoparquet to nyc_cycleways_wgs84.geoparquet
Final CRS: EPSG:4326
Geometry types in result: <ArrowStringArray>
['LineString']
Length: 1, dtype: str
Number of features in result: 272
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