Mark flaky tests as XFAIL (#6299)
* Temporarily skip TestGPUUpdaters::test_categorical * Temporarily skip test_boost_from_prediction[approx]
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@ -86,6 +86,7 @@ class TestGPUUpdaters:
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@settings(deadline=None)
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@pytest.mark.skipif(**tm.no_pandas())
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def test_categorical(self, rows, cols, rounds, cats):
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pytest.xfail(reason='TestGPUUpdaters::test_categorical is flaky')
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self.run_categorical_basic(rows, cols, rounds, cats)
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def test_categorical_32_cat(self):
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@ -142,6 +142,9 @@ def test_dask_predict_shape_infer():
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@pytest.mark.parametrize("tree_method", ["hist", "approx"])
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def test_boost_from_prediction(tree_method):
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if tree_method == 'approx':
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pytest.xfail(reason='test_boost_from_prediction[approx] is flaky')
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from sklearn.datasets import load_breast_cancer
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X, y = load_breast_cancer(return_X_y=True)
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