Remove unused classes and functions

tests/components/test_dynamic_lazy.py

@@ -11,11 +11,7 @@ from miplearn.classifiers import Classifier
 from miplearn.classifiers.threshold import MinProbabilityThreshold
 from miplearn.components import classifier_evaluation_dict
 from miplearn.components.dynamic_lazy import DynamicLazyConstraintsComponent
-from miplearn.features import (
-    Features,
-    InstanceFeatures,
-    Sample,
-)
+from miplearn.features import Sample
 from miplearn.instance.base import Instance
 from miplearn.solvers.tests import assert_equals
 

tests/components/test_primal.py

@@ -12,12 +12,7 @@ from miplearn.classifiers import Classifier
 from miplearn.classifiers.threshold import Threshold
 from miplearn.components import classifier_evaluation_dict
 from miplearn.components.primal import PrimalSolutionComponent
-from miplearn.features import (
-    Features,
-    Sample,
-    InstanceFeatures,
-    VariableFeatures,
-)
+from miplearn.features import Sample
 from miplearn.problems.tsp import TravelingSalesmanGenerator
 from miplearn.solvers.learning import LearningSolver
 from miplearn.solvers.tests import assert_equals

tests/components/test_static_lazy.py

@@ -11,12 +11,7 @@ from numpy.testing import assert_array_equal
 from miplearn.classifiers import Classifier
 from miplearn.classifiers.threshold import Threshold, MinProbabilityThreshold
 from miplearn.components.static_lazy import StaticLazyConstraintsComponent
-from miplearn.features import (
-    InstanceFeatures,
-    Features,
-    Sample,
-    ConstraintFeatures,
-)
+from miplearn.features import Sample, ConstraintFeatures
 from miplearn.instance.base import Instance
 from miplearn.solvers.internal import InternalSolver
 from miplearn.solvers.learning import LearningSolver

tests/test_features.py

@@ -6,7 +6,6 @@ import numpy as np
 
 from miplearn.features import (
     FeaturesExtractor,
-    InstanceFeatures,
     VariableFeatures,
     ConstraintFeatures,
     Sample,
@@ -128,15 +127,6 @@ def test_knapsack() -> None:
     assert_equals(sample.get("mip_var_values"), [1.0, 0.0, 1.0, 1.0, 61.0])
     assert_equals(sample.get("mip_constr_slacks"), [0.0])
 
-    features = extractor.extract(instance, solver)
-    assert_equals(
-        features.instance,
-        InstanceFeatures(
-            user_features=[67.0, 21.75],
-            lazy_constraint_count=0,
-        ),
-    )
-
 
 def test_constraint_getindex() -> None:
     cf = ConstraintFeatures(