Add focal variety statistic (#1040)#1043
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brendancol merged 4 commits intomasterfrom Mar 21, 2026
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Add _calc_variety (CPU/numba) and _focal_variety_cuda (GPU) that count distinct non-NaN values in a kernel neighbourhood. Wire into all three dispatch dicts so variety works across numpy, cupy, dask+numpy, and dask+cupy backends.
Cover correctness on categorical data, NaN handling, all-NaN windows, single-cell rasters, and dask+numpy backend parity. Update the data_focal_stats fixture to include variety expected values.
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Summary
varietytofocal_stats-- counts distinct non-NaN values in a kernel neighbourhood@ngjitwith a compact unique-values buffer@cuda.jitwith a 25-slotcuda.local.arrayfor tracking distinct valuesvarietyis now in the defaultstats_funcslistrange(max - min) was mentioned in the original request as missing but already existedTest plan
data_focal_statsfixture updated with variety expected valuesCloses #1040