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75 ENH: array comparison utils show calculations and indices of max errors by danra · Pull Request #29395 · numpy/numpy · GitHub
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ENH: array comparison utils show calculations and indices of max errors #29395

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@danra danra commented Jul 19, 2025

Resolves #28827

  • Verbose assertion errors raised by testing.assert_allclose and testing.assert_array_XXX now show the calculation and the indices of the maximum absolute and relative differences among the violations.
  • Assertion errors raised by assert_array_almost_equal_nulp and assert_array_max_ulp, which have no verbose toggle, now show the indices of the maximum ULP difference.

The main complexity adding this feature was that one could not 'simply' replace max with argmax due to masking: the absolute differences is calculated after masking out infs and nans, and the relative differences are additionally calculated after masking out zero denominators.


Notes to reviewer:

  1. Based over MNT: Cleanup infs handling in np.testing assertion utilities #29321 which should be merged first.
  2. Best reviewed going over commits one-by-one. Main change is in the last commit, preceding commits lead up to it with minor preparations.

danra added 8 commits July 20, 2025 21:28
Noticed the extra dimension while adding the index of the max error to
assert_array_XXX_nulp output
Noticed these while attempting to append more content to the
expected message, upon which the partial values started
causing the regex to stop matching.
Resolves numpy#28827

- Verbose assertion errors raised by testing.assert_allclose and
  testing.assert_array_XXX now show the calculation and the indices of
  the maximum absolute and relative differences among the violations.
- Assertion errors raised by assert_array_almost_equal_nulp and
  assert_array_max_ulp, which have no verbose toggle, now show the
  indices of the maximum ULP difference.

The main complexity adding this feature was that one could not 'simply'
replace `max` with `argmax` due to masking: the absolute differences is
calculated after masking out infs and nans, and the relative differences
are additionally calculated after masking out zero denominators.
@danra danra force-pushed the max_errors_indices branch from 58a5820 to a967767 Compare July 21, 2025 04:29
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danra commented Jul 21, 2025

Is the failing test maybe an instance of #29262 ?

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ngoldbaum commented Jul 21, 2025

It looks like pypy segfaulted on your PR. I don't think it's the same issue you linked to. Definitely a real problem but probably unrelated to this PR and safe for you to ignore.

Unfortunately the NumPy CI is sufficiently complicated that along with several heisenbugs bits and pieces regularly start failing for lots of reasons. Unless you're interested in helping out with a fix, it's usually safe to ignore. If you're unsure, just ask, and a maintainer should catch it if an error is real and it was ignored.

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ENH: assert_allclose show indices and values of maximum differences on failure
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