mirror of
https://github.com/ANL-CEEESA/MIPLearn.git
synced 2025-12-06 01:18:52 -06:00
Remove sample.after_mip
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@@ -25,12 +25,10 @@ def sample() -> Sample:
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after_lp=Features(
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lp_solve=LPSolveStats(),
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),
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after_mip=Features(
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mip_solve=MIPSolveStats(
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mip_lower_bound=1.0,
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mip_upper_bound=2.0,
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)
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),
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data={
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"mip_lower_bound": 1.0,
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"mip_upper_bound": 2.0,
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},
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)
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sample.after_load.instance.to_list = Mock(return_value=[1.0, 2.0]) # type: ignore
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sample.after_lp.lp_solve.to_list = Mock(return_value=[3.0]) # type: ignore
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@@ -36,12 +36,10 @@ def sample() -> Sample:
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after_lp=Features(
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variables=VariableFeatures(),
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),
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after_mip=Features(
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variables=VariableFeatures(
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names=["x[0]", "x[1]", "x[2]", "x[3]"],
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values=[0.0, 1.0, 1.0, 0.0],
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)
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),
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data={
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"var_names": ["x[0]", "x[1]", "x[2]", "x[3]"],
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"mip_var_values": [0.0, 1.0, 1.0, 0.0],
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},
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)
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sample.after_load.instance.to_list = Mock(return_value=[5.0]) # type: ignore
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sample.after_load.variables.to_list = Mock( # type:ignore
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@@ -41,14 +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.after_mip is not None
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features = sample.after_mip
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assert features is not None
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assert features.variables is not None
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assert features.variables.values == [1.0, 0.0, 1.0, 1.0, 0.0, 1.0]
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assert features.mip_solve is not None
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assert features.mip_solve.mip_lower_bound == 4.0
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assert features.mip_solve.mip_upper_bound == 4.0
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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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def test_subtour() -> None:
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@@ -73,10 +68,7 @@ def test_subtour() -> None:
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lazy_enforced = sample.get("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.after_mip is not None
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features = sample.after_mip
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assert features.variables is not None
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assert features.variables.values == [
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assert sample.get("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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@@ -38,25 +38,18 @@ def test_learning_solver(
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assert len(instance.get_samples()) > 0
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sample = instance.get_samples()[0]
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after_mip = sample.after_mip
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assert after_mip is not None
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assert after_mip.variables is not None
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assert after_mip.variables.values == [1.0, 0.0, 1.0, 1.0, 61.0]
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assert after_mip.mip_solve is not None
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assert after_mip.mip_solve.mip_lower_bound == 1183.0
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assert after_mip.mip_solve.mip_upper_bound == 1183.0
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assert after_mip.mip_solve.mip_log is not None
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assert len(after_mip.mip_solve.mip_log) > 100
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assert sample.get("mip_var_values") == [1.0, 0.0, 1.0, 1.0, 61.0]
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assert sample.get("mip_lower_bound") == 1183.0
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assert sample.get("mip_upper_bound") == 1183.0
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mip_log = sample.get("mip_log")
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assert mip_log is not None
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assert len(mip_log) > 100
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after_lp = sample.after_lp
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assert after_lp is not None
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assert after_lp.variables is not None
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assert_equals(after_lp.variables.values, [1.0, 0.923077, 1.0, 0.0, 67.0])
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assert after_lp.lp_solve is not None
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assert after_lp.lp_solve.lp_value is not None
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assert round(after_lp.lp_solve.lp_value, 3) == 1287.923
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assert after_lp.lp_solve.lp_log is not None
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assert len(after_lp.lp_solve.lp_log) > 100
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assert_equals(sample.get("lp_var_values"), [1.0, 0.923077, 1.0, 0.0, 67.0])
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assert_equals(sample.get("lp_value"), 1287.923077)
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lp_log = sample.get("lp_log")
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assert lp_log is not None
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assert len(lp_log) > 100
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solver.fit([instance], n_jobs=4)
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solver.solve(instance)
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