71 lines
2.4 KiB
Python
71 lines
2.4 KiB
Python
# Copyright 2012 Anton Beloglazov
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from mocktest import *
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from pyqcy import *
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import operator
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import neat.locals.overload.mhod.nlp as nlp
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import logging
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logging.disable(logging.CRITICAL)
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class Nlp(TestCase):
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def test_build_objective(self):
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with MockTransaction:
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state_vector = [1, 0]
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p = [[-0.1, 0.1],
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[0.3, -0.3]]
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m1 = mock('m1')
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m2 = mock('m2')
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m = [m1, m2]
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container = mock('function container')
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expect(container).l0(state_vector, p, m).and_return(2).once()
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expect(container).l1(state_vector, p, m).and_return(3).once()
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ls = [container.l0, container.l1]
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objective = nlp.build_objective(ls, state_vector, p)
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self.assertTrue(hasattr(objective, '__call__'))
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self.assertEqual(objective(m1, m2), 5)
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def test_build_constraint(self):
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with MockTransaction:
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otf = 0.05
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migration_time = 20.
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state_vector = [1, 0]
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p = [[-0.1, 0.1],
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[0.3, -0.3]]
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m1 = mock('m1')
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m2 = mock('m2')
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m = [m1, m2]
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container = mock('function container')
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expect(container).l0(state_vector, p, m).and_return(2).once()
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expect(container).l1(state_vector, p, m). \
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and_return(3).exactly(2).times()
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ls = [container.l0, container.l1]
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constraint = nlp.build_constraint(otf, migration_time,
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ls, state_vector, p, 0, 0)
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self.assertTrue(hasattr(constraint[0], '__call__'))
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assert constraint[1] is operator.le
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self.assertEqual(constraint[2], otf)
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self.assertEqual(constraint[0](m1, m2),
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float(migration_time + 3) /
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(migration_time + 5))
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