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Accept sample numbers stored as floats in wrann - #625
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wrann failed with "ufunc 'bitwise_and' not supported" when sample was a float array, which is easy to get from a detector or model. Accept float sample numbers if they are all whole numbers, and convert them to integers when writing, without changing the caller's array. Other floats (fractions, NaN, infinity) raise a ValueError. Other dtypes are handled as before.
On x86, np.mod(inf, 1) sets the invalid flag, which the tests turn into a FloatingPointError. Reject NaN and infinity first, and compare finite values with their rounded values instead.
briangow
requested changes
Nov 4, 2026
Converting an object array of sample numbers to integers truncated values such as 20.5 without an error. Check that the conversion doesn't change any value.
# Conflicts: # tests/test_annotation.py
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Fixes #201.
wrannfailed with an unhelpful error whensamplewas a float array, which is easy to get from a detector or model:The float values reached the bit operations in
field2bytes, which only work on integers.20.5, NaN or infinity) raiseValueError: The 'sample' field must only contain whole numbers.This matches the other integer fields (
subtype,chan,numandlabel_store), which already accept whole-number floats.Tests: a float array gives the same file as an integer array (including a gap large enough to need a SKIP), and fractions, NaN and infinity raise a
ValueError. All four fail onmain.