Document tobytes() copy behavior in NumPy array hashing#343
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[WIP] Update NumPy-aware hashing based on feedback
Document tobytes() copy behavior in NumPy array hashing
Feb 18, 2026
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* Initial plan * Document tobytes(order="C") behavior in _hash_numpy_array docstring Co-authored-by: shaypal5 <[email protected]> --------- Co-authored-by: copilot-swe-agent[bot] <[email protected]> Co-authored-by: shaypal5 <[email protected]>
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The
_hash_numpy_arrayfunction usestobytes(order="C")to ensure consistent hashing regardless of memory layout, but this can incur a copy for non-contiguous arrays.Changes
_hash_numpy_array: Documents thattobytes(order="C")may copy data for non-contiguous arrays (transposed, sliced views, Fortran-ordered) with performance implications for large arrays. Includes best practices in Notes section.The behavior is correct and intentional—C-order normalization ensures deterministic hashes—but now explicitly documented for users working with large non-contiguous arrays.
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