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Use np in Constraints.lazy; replace some get_vector

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This commit is contained in:
Alinson S. Xavier
2021-08-09 06:27:03 -05:00
parent f809dd7de4
commit 5b54153a3a
10 changed files with 47 additions and 47 deletions
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4
tests/problems/test_tsp.py
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@@ -42,7 +42,7 @@ def test_instance() -> None:
solver.solve(instance)
assert len(instance.get_samples()) == 1
sample = instance.get_samples()[0]
assert_equals(sample.get_vector("mip_var_values"), [1.0, 0.0, 1.0, 1.0, 0.0, 1.0])
assert_equals(sample.get_array("mip_var_values"), [1.0, 0.0, 1.0, 1.0, 0.0, 1.0])
assert sample.get_scalar("mip_lower_bound") == 4.0
assert sample.get_scalar("mip_upper_bound") == 4.0
@@ -70,7 +70,7 @@ def test_subtour() -> None:
assert lazy_enforced is not None
assert len(lazy_enforced) > 0
assert_equals(
sample.get_vector("mip_var_values"),
sample.get_array("mip_var_values"),
[
1.0,
0.0,