TST: Run all tests on read-only numpy arrays #92
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crusaderky
commented
Jan 15, 2025
| x = xp.asarray([1, 2, 3], device=device) | ||
| assert get_device(cov(x)) == device | ||
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| @pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY) |
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Notably, read-only numpy disallows __iadd__ etc., whereas jax and sparse simply don't define these methods, which causes them to fall back to a = a.__add__(b)
crusaderky
commented
Jan 15, 2025
| def test_no_invert_assume_unique(self, xp: ModuleType, n: int): | ||
| x1 = xp.asarray([3, 8, 20]) | ||
| x2 = xp.asarray(x2) | ||
| x2 = xp.arange(n) |
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NumPyReadOnly.asarray(x2, copy=None) was tainting the globally defined x2, ruining it for the following iterations of the test.
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