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tests/unit/models/components/clustering/test_gmm.py

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@@ -16,8 +16,8 @@ def test_fit_and_predict() -> None:
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# Create some synthetic data
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data = torch.cat(
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[
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torch.randn(100, 2) + torch.tensor([2.0, 2.0]),
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torch.randn(100, 2) + torch.tensor([-2.0, -2.0]),
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torch.randn(100, 2) + torch.tensor([10.0, 10.0]),
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torch.randn(100, 2) + torch.tensor([-10.0, -10.0]),
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],
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)
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