Reorganize directories

miplearn/components/tests/test_primal.py

@@ -1,33 +0,0 @@
-#  MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
-#  Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
-#  Released under the modified BSD license. See COPYING.md for more details.
-
-from miplearn import LearningSolver, PrimalSolutionComponent
-from miplearn.problems.knapsack import KnapsackInstance
-import numpy as np
-import tempfile
-
-
-def _get_instances():
-    instances = [
-        KnapsackInstance(
-            weights=[23., 26., 20., 18.],
-            prices=[505., 352., 458., 220.],
-            capacity=67.,
-        ),
-    ] * 5
-    models = [inst.to_model() for inst in instances]
-    solver = LearningSolver()
-    for i in range(len(instances)):
-        solver.solve(instances[i], models[i])
-    return instances, models
-
-
-def test_predict():
-    instances, models = _get_instances()
-    comp = PrimalSolutionComponent()
-    comp.fit(instances)
-    solution = comp.predict(instances[0])
-    assert "x" in solution
-    for idx in range(4):
-        assert idx in solution["x"]