b1cef8c4a0
Implemented layering so it will allow to have multiple solver engines. Implements blueprint: dynamic-allocation Change-Id: I7ed1ec0216fb9778b4fa5be4fb4f6141a0e26fc9
68 lines
2.3 KiB
Python
68 lines
2.3 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2016 Mirantis, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from bareon_allocator.solvers import LinearProgram
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from bareon_allocator.tests import base
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class TestSolversLinearProgram(base.TestCase):
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def setUp(self):
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super(TestSolversLinearProgram, self).setUp()
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self.lp = LinearProgram(
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x_amount=3,
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objective_function_coefficients=[1, 0, 0],
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equality_constraint_matrix=[[1, 2, 3], [4, 5, 6]],
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lower_constraint_matrix=[[7, 8, 9], [10, 11, 12]],
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upper_constraint_matrix=[[13, 14, 15], [16, 17, 18]],
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equality_constraint_vector=[1, 2, 3],
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lower_constraint_vector=[3, 4, 5],
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upper_constraint_vector=[6, 7, 8])
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def test_values_are_set(self):
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self.assertEqual(self.lp.x_amount, 3)
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self.assertEqual(
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self.lp.objective_function_coefficients,
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[1, 0, 0])
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self.assertEqual(
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self.lp.equality_constraint_matrix,
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[[1, 2, 3], [4, 5, 6]])
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self.assertEqual(
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self.lp.lower_constraint_matrix,
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[[7, 8, 9], [10, 11, 12]])
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self.assertEqual(
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self.lp.upper_constraint_matrix,
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[[13, 14, 15], [16, 17, 18]])
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self.assertEqual(
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self.lp.equality_constraint_vector,
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[1, 2, 3])
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self.assertEqual(
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self.lp.lower_constraint_vector,
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[3, 4, 5])
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self.assertEqual(
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self.lp.upper_constraint_vector,
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[6, 7, 8])
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def test_default_values_are_set(self):
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self.assertEqual(self.lp.lp_type, self.lp.LP_TYPE_LP)
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self.assertEqual(self.lp.objective_function_optimization_type,
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self.lp.MAXIMIZE)
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self.assertEqual(self.lp.bounds, [(0, None), (0, None), (0, None)])
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