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https://github.com/ANL-CEEESA/MIPLearn.git
synced 2025-12-06 01:18:52 -06:00
Remove sample.{get,set}
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@@ -41,9 +41,9 @@ def test_instance() -> None:
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solver.solve(instance)
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assert len(instance.get_samples()) == 1
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sample = instance.get_samples()[0]
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assert sample.get("mip_var_values") == [1.0, 0.0, 1.0, 1.0, 0.0, 1.0]
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assert sample.get("mip_lower_bound") == 4.0
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assert sample.get("mip_upper_bound") == 4.0
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assert sample.get_vector("mip_var_values") == [1.0, 0.0, 1.0, 1.0, 0.0, 1.0]
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assert sample.get_scalar("mip_lower_bound") == 4.0
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assert sample.get_scalar("mip_upper_bound") == 4.0
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def test_subtour() -> None:
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@@ -65,10 +65,10 @@ def test_subtour() -> None:
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samples = instance.get_samples()
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assert len(samples) == 1
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sample = samples[0]
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lazy_enforced = sample.get("lazy_enforced")
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lazy_enforced = sample.get_set("lazy_enforced")
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assert lazy_enforced is not None
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assert len(lazy_enforced) > 0
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assert sample.get("mip_var_values") == [
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assert sample.get_vector("mip_var_values") == [
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1.0,
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0.0,
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0.0,
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