TST: flaky test_single_axis on Dask
#272
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crusaderky
commented
Apr 22, 2025
| @@ -521,7 +521,7 @@ def test_xp(self, xp: ModuleType): | |||
| class TestExpandDims: | |||
| def test_single_axis(self, xp: ModuleType): | |||
| """Trivial case where xpx.expand_dims doesn't add anything to xp.expand_dims""" | |||
| a = xp.empty((2, 3, 4, 5)) | |||
| a = xp.asarray(np.reshape(np.arange(2 * 3 * 4 * 5), (2, 3, 4, 5))) | |||
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Hack to make sparse work. This pattern is already used elsewhere.
lucascolley
approved these changes
Apr 22, 2025
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I'm observing random failures in Dask in this test.
The reason is that
xp_assert_equal()is callingdask.compute()twice, which in turn rematerializes the graph from scratch twice - thus callingnp.emptytwice. That in turn occasionally returns differently dirty memory betweenexpectandactual.