Move python files to root folder; remove built docs

miplearn/problems/tests/test_knapsack.py

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+#  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
+from miplearn.problems.knapsack import MultiKnapsackGenerator, MultiKnapsackInstance
+from scipy.stats import uniform, randint
+import numpy as np
+
+
+def test_knapsack_generator():
+    gen = MultiKnapsackGenerator(n=randint(low=100, high=101),
+                                 m=randint(low=30, high=31),
+                                 w=randint(low=0, high=1000),
+                                 K=randint(low=500, high=501),
+                                 u=uniform(loc=1.0, scale=1.0),
+                                 alpha=uniform(loc=0.50, scale=0.0),
+                                )
+    instances = gen.generate(100)
+    w_sum = sum(instance.weights for instance in instances) / len(instances)
+    p_sum = sum(instance.prices for instance in instances) / len(instances)
+    b_sum = sum(instance.capacities for instance in instances) / len(instances)
+    assert round(np.mean(w_sum), -1) == 500.
+    # assert round(np.mean(p_sum), -1) == 1200.  # flaky
+    assert round(np.mean(b_sum), -3) == 25000.