nova/nova/tests/test_weights.py

55 lines
1.9 KiB
Python

# Copyright 2011-2012 OpenStack Foundation
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
"""
Tests For weights.
"""
from nova import test
from nova import weights
class TestWeigher(test.NoDBTestCase):
def test_no_multiplier(self):
class FakeWeigher(weights.BaseWeigher):
def _weigh_object(self, *args, **kwargs):
pass
self.assertEqual(1.0,
FakeWeigher().weight_multiplier())
def test_no_weight_object(self):
class FakeWeigher(weights.BaseWeigher):
def weight_multiplier(self, *args, **kwargs):
pass
self.assertRaises(TypeError,
FakeWeigher)
def test_normalization(self):
# weight_list, expected_result, minval, maxval
map_ = (
((), (), None, None),
((0.0, 0.0), (0.0, 0.0), None, None),
((1.0, 1.0), (0.0, 0.0), None, None),
((20.0, 50.0), (0.0, 1.0), None, None),
((20.0, 50.0), (0.0, 0.375), None, 100.0),
((20.0, 50.0), (0.4, 1.0), 0.0, None),
((20.0, 50.0), (0.2, 0.5), 0.0, 100.0),
)
normalize_to = (1.0, 10.0)
for seq, result, minval, maxval in map_:
ret = weights.normalize(seq, minval=minval, maxval=maxval)
self.assertEqual(tuple(ret), result)