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IntelPython / dpnp / 29998170042
78%

Build:
DEFAULT BRANCH: master
Ran 23 Jul 2026 11:17AM UTC
Jobs 1
Files 263
Run time 1min
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23 Jul 2026 10:08AM UTC coverage: 78.285% (+0.01%) from 78.274%
29998170042

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Relax float16 tolerance in cupy trigonometric binary tests (#3005)

The GitHub workflow might fail on
`third_party/cupy/math_tests/test_trigonometric.py::TestTrigonometric::test_arctan2`:
```
Mismatched elements: 1 / 6 (16.7%)
 [0, 1]: 0.38037109375 (ACTUAL, dpnp), 0.380615234375 (DESIRED, numpy)
Max absolute difference: 0.0002441
```

This is the `float16` (`"e"` dtype) parametrization of
`check_binary("arctan2")`, which asserts with a flat `atol=1e-5`. That
tolerance is tighter than the resolution of float16 — one ULP near 0.38
is ~2.4e-4.

This PR proposes to use a float16-aware tolerance. for `check_binary`.
This mirrors the pattern already used by `check_unary_unit` in the same
file, and leaves the default `1e-5` tolerance unchanged for all
higher-precision dtypes.

1532 of 2854 branches covered (53.68%)

Branch coverage included in aggregate %.

26429 of 32863 relevant lines covered (80.42%)

7915.72 hits per line

Coverage Regressions

Lines Coverage ∆ File
2
50.08
0.48% dpnp/tensor/libtensor/include/utils/strided_iters.hpp
1
25.51
-0.1% dpnp/tensor/libtensor/include/utils/offset_utils.hpp
Jobs
ID Job ID Ran Files Coverage
1 29998170042.1 23 Jul 2026 11:17AM UTC 263
78.28
GitHub Action Run
Source Files on build 29998170042
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  • Coverage Changed 2
Coverage ∆ File Lines Relevant Covered Missed Hits/Line Branch Hits Branch Misses
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