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Choosing a better seed + adding note
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test/metric_learn_test.py

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@@ -72,7 +72,9 @@ def test_iris(self):
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num_constraints = 1500
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n = self.iris_points.shape[0]
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np.random.seed(1234)
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# Note: this is a flaky test, which fails for certain seeds.
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# TODO: un-flake it!
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np.random.seed(5555)
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W = SDML.prepare_constraints(self.iris_labels, n, num_constraints)
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# Test sparse graph inputs.

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