ANL-CEEESA/MIPLearn
1
0
Fork 0
mirror of https://github.com/ANL-CEEESA/MIPLearn.git synced 2025-12-08 18:38:51 -06:00
Code Issues Packages Projects Releases Wiki Activity

Remove obsolete methods

Browse Source
This commit is contained in:
Alinson S. Xavier
2021-04-13 09:42:25 -05:00
parent c26b852c67
commit c4a6665825
22 changed files with 93 additions and 499 deletions
Download Patch File Download Diff File Expand all files Collapse all files

55
tests/components/test_dynamic_lazy.py
View File

@@ -13,7 +13,6 @@ from miplearn.classifiers.threshold import MinProbabilityThreshold
from miplearn.components import classifier_evaluation_dict
from miplearn.components.dynamic_lazy import DynamicLazyConstraintsComponent
from miplearn.features import (
TrainingSample,
Features,
InstanceFeatures,
Sample,
@@ -24,60 +23,6 @@ from miplearn.solvers.tests import assert_equals
E = 0.1
@pytest.fixture
def training_instances_old() -> List[Instance]:
instances = [cast(Instance, Mock(spec=Instance)) for _ in range(2)]
instances[0].features = Features(
instance=InstanceFeatures(
user_features=[50.0],
),
)
instances[0].training_data = [
TrainingSample(lazy_enforced={"c1", "c2"}),
TrainingSample(lazy_enforced={"c2", "c3"}),
]
instances[0].get_constraint_category = Mock( # type: ignore
side_effect=lambda cid: {
"c1": "type-a",
"c2": "type-a",
"c3": "type-b",
"c4": "type-b",
}[cid]
)
instances[0].get_constraint_features = Mock( # type: ignore
side_effect=lambda cid: {
"c1": [1.0, 2.0, 3.0],
"c2": [4.0, 5.0, 6.0],
"c3": [1.0, 2.0],
"c4": [3.0, 4.0],
}[cid]
)
instances[1].features = Features(
instance=InstanceFeatures(
user_features=[80.0],
),
)
instances[1].training_data = [
TrainingSample(lazy_enforced={"c3", "c4"}),
]
instances[1].get_constraint_category = Mock( # type: ignore
side_effect=lambda cid: {
"c1": None,
"c2": "type-a",
"c3": "type-b",
"c4": "type-b",
}[cid]
)
instances[1].get_constraint_features = Mock( # type: ignore
side_effect=lambda cid: {
"c2": [7.0, 8.0, 9.0],
"c3": [5.0, 6.0],
"c4": [7.0, 8.0],
}[cid]
)
return instances
@pytest.fixture
def training_instances() -> List[Instance]:
instances = [cast(Instance, Mock(spec=Instance)) for _ in range(2)]