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The mask 'conds <= 0 | np.isnan(conds)' parses as 'conds <= (0 | np.isnan(conds))' because bitwise | binds tighter than the <= comparison, so the NaN check was not OR-ed with the non-positive check as intended. Parenthesize to '(conds <= 0) | np.isnan(conds)'. Verified: for conds=[0.5, -0.1, nan] the buggy expression yields [False, True, False] (misses the NaN), while the fixed expression yields [False, True, True].
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deruyter92
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Jul 16, 2026
C-Achard
merged commit Jul 16, 2026
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DeepLabCut:external/hwang-misc-fixes
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The mask 'conds <= 0 | np.isnan(conds)' parses as
'conds <= (0 | np.isnan(conds))' because bitwise | binds tighter than the <= comparison, so the NaN check was not OR-ed with the non-positive check as intended. Parenthesize to '(conds <= 0) | np.isnan(conds)'.
Verified: for conds=[0.5, -0.1, nan] the buggy expression yields [False, True, False] (misses the NaN), while the fixed expression yields [False, True, True].