55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
# Copyright 2016 OpenStack Foundation.
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# All Rights Reserved.
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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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"""
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Tests For Scheduler weights.
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"""
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from nimble.engine.scheduler import base_weight
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from nimble.tests import base as test
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class TestWeightHandler(test.TestCase):
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def test_no_multiplier(self):
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class FakeWeigher(base_weight.BaseWeigher):
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def _weigh_object(self, *args, **kwargs):
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pass
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self.assertEqual(1.0,
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FakeWeigher().weight_multiplier())
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def test_no_weight_object(self):
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class FakeWeigher(base_weight.BaseWeigher):
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def weight_multiplier(self, *args, **kwargs):
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pass
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self.assertRaises(TypeError,
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FakeWeigher)
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def test_normalization(self):
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# weight_list, expected_result, minval, maxval
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map_ = (
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((), (), None, None),
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((0.0, 0.0), (0.0, 0.0), None, None),
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((1.0, 1.0), (0.0, 0.0), None, None),
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((20.0, 50.0), (0.0, 1.0), None, None),
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((20.0, 50.0), (0.0, 0.375), None, 100.0),
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((20.0, 50.0), (0.4, 1.0), 0.0, None),
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((20.0, 50.0), (0.2, 0.5), 0.0, 100.0),
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)
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for seq, result, minval, maxval in map_:
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ret = base_weight.normalize(seq, minval=minval, maxval=maxval)
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self.assertEqual(result, tuple(ret))
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