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Risk type: attribute/loss

These 4 cases exercise the attribute/loss failure mode. Run your function against all of them to check how it behaves.

Use GeoCase in your tests

Install the complete set of vector, raster, and NetCDF dependencies:

pip install "geocase[all]"

View GeoCase on PyPI.

Polygon geometry of format_limited_kml_case, rendered from the case's data Format-Limited KML Case KML · Polygon Point geometry of mixed_encoding_attributes, rendered from the case's data Mixed Encoding Attributes GPKG · Point Point geometry of parquet_mixed_schema_attributes, rendered from the case's data Parquet Mixed Schema Attributes Parquet · Point Point geometry of shapefile_field_truncation, rendered from the case's data Shapefile Field Name Truncation Shapefile · Point
Case Category Format Geometry
Format-Limited KML Case vector KML Polygon
Mixed Encoding Attributes vector GPKG Point
Parquet Mixed Schema Attributes vector Parquet Point
Shapefile Field Name Truncation vector Shapefile Point