TST: test that clip(x) returns a copy not a view#382
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ev-br merged 1 commit intodata-apis:mainfrom Jan 24, 2026
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Pull request overview
This PR adds a test to verify that clip(x, None, None) returns a copy rather than a view, which aligns with the behavior of NumPy 2.x and CuPy 13.x. The specification doesn't explicitly require this behavior, but the test ensures consistency across wrapped libraries.
Changes:
- Adds a new test
test_clip_nonethat verifiesclipreturns a copy when both min and max are None
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The spec only says that "If both min and max are None, the elements of the returned array must equal the respective elements in x" Bare NumPy 2.x and CuPy 13.x return copes: >>> x = np.arange(8); np.may_share_memory(x, np.clip(x)) False Thus assume that all wrapped libraries should return a copy, too. Add a test to this effect.
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The spec only says that "If both min and max are None, the elements of the returned array must equal the respective elements in x"
Bare NumPy 2.x and CuPy 13.x return copes:
Thus assume that all wrapped libraries should return a copy, too. Add a test to this effect.