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IntelPython / dpnp / 32053354859
78%

Build:
DEFAULT BRANCH: master
Ran 17 Aug 2026 07:30PM UTC
Jobs 1
Files 263
Run time 1min
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17 Aug 2026 06:06PM UTC coverage: 78.464% (-0.003%) from 78.467%
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Skip einsum test_out_0d for NumPy older than 2.4.5 (#3030)

This guards `TestEinsum.test_out_0d` with
`@testing.with_requires("numpy>=2.4.5")`.

The test compares `dpnp.einsum` against a reference `numpy.einsum` call
that uses a 0-d `out` array with `optimize="optimal"`. That reference
behavior only matches on NumPy 2.4.5 and newer, so the test is skipped
on older NumPy versions to avoid spurious failures.

The test was introduced in #2987.

1546 of 2896 branches covered (53.38%)

Branch coverage included in aggregate %.

26512 of 32863 relevant lines covered (80.67%)

7916.68 hits per line

Coverage Regressions

Lines Coverage ∆ File
1
86.29
-0.27% dpnp/tensor/_elementwise_common.py
Jobs
ID Job ID Ran Files Coverage
1 32053354859.1 17 Aug 2026 07:30PM UTC 263
78.46
GitHub Action Run
Source Files on build 32053354859
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  • Changed 1
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  • Coverage Changed 1
Coverage ∆ File Lines Relevant Covered Missed Hits/Line Branch Hits Branch Misses
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