857 lines
34 KiB
Python
857 lines
34 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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from collections import deque
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from copy import deepcopy
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import re
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import neat.locals.overload.mhod.multisize_estimation as m
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import logging
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logging.disable(logging.CRITICAL)
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def c(data):
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return deepcopy(data)
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class Multisize(TestCase):
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def test_mean(self):
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self.assertEqual(m.mean([], 100), 0.0)
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self.assertEqual(m.mean([0], 100), 0.0)
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self.assertEqual(m.mean([0, 0], 100), 0.0)
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self.assertEqual(m.mean([1, 1], 100), 0.02)
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self.assertEqual(m.mean([0, 1], 100), 0.01)
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self.assertEqual(m.mean([1, 2, 3, 4, 5], 100), 0.15)
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def test_variance(self):
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self.assertEqual(m.variance([], 100), 0.0)
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self.assertEqual(m.variance([0], 100), 0.0)
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self.assertEqual(m.variance([0, 0], 100), 0.0)
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self.assertAlmostEqual(m.variance([1, 1], 100), 0.0194020202)
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self.assertAlmostEqual(m.variance([0, 1], 100), 0.0099010101)
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self.assertAlmostEqual(m.variance([1, 2, 3, 4, 5], 100), 0.511237373)
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self.assertAlmostEqual(m.variance([0, 0, 0, 1], 100), 0.0099030303)
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def test_acceptable_variance(self):
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self.assertAlmostEqual(m.acceptable_variance(0.2, 5), 0.032, 3)
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self.assertAlmostEqual(m.acceptable_variance(0.6, 15), 0.016, 3)
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def test_estimate_probability(self):
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self.assertEqual(
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m.estimate_probability([0, 0, 1, 1, 0, 0, 0, 0, 0, 0], 100, 0),
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0.08)
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self.assertEqual(
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m.estimate_probability([0, 0, 1, 1, 0, 0, 0, 0, 0, 0], 100, 1),
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0.02)
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self.assertEqual(
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m.estimate_probability([1, 1, 0, 0, 1, 1, 1, 1, 1, 1], 200, 0),
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0.01)
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self.assertEqual(
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m.estimate_probability([1, 1, 0, 0, 1, 1, 1, 1, 1, 1], 200, 1),
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0.04)
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def test_update_request_windows(self):
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max_window_size = 4
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windows = [deque([0, 0], max_window_size),
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deque([1, 1], max_window_size)]
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self.assertEqual(m.update_request_windows(c(windows), 0, 0),
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[deque([0, 0, 0]),
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deque([1, 1])])
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self.assertEqual(m.update_request_windows(c(windows), 0, 1),
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[deque([0, 0, 1]),
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deque([1, 1])])
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self.assertEqual(m.update_request_windows(c(windows), 1, 0),
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[deque([0, 0]),
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deque([1, 1, 0])])
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self.assertEqual(m.update_request_windows(c(windows), 1, 1),
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[deque([0, 0]),
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deque([1, 1, 1])])
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max_window_size = 2
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windows = [deque([0, 0], max_window_size),
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deque([1, 1], max_window_size)]
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self.assertEqual(m.update_request_windows(c(windows), 0, 0),
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[deque([0, 0]),
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deque([1, 1])])
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self.assertEqual(m.update_request_windows(c(windows), 0, 1),
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[deque([0, 1]),
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deque([1, 1])])
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self.assertEqual(m.update_request_windows(c(windows), 1, 0),
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[deque([0, 0]),
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deque([1, 0])])
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self.assertEqual(m.update_request_windows(c(windows), 1, 1),
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[deque([0, 0]),
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deque([1, 1])])
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max_window_size = 4
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windows = [deque([0, 0], max_window_size),
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deque([1, 1], max_window_size),
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deque([2, 2], max_window_size)]
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self.assertEqual(m.update_request_windows(c(windows), 0, 0),
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[deque([0, 0, 0]),
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deque([1, 1]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 0, 1),
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[deque([0, 0, 1]),
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deque([1, 1]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 0, 2),
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[deque([0, 0, 2]),
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deque([1, 1]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 1, 0),
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[deque([0, 0]),
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deque([1, 1, 0]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 1, 1),
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[deque([0, 0]),
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deque([1, 1, 1]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 1, 2),
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[deque([0, 0]),
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deque([1, 1, 2]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 2, 0),
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[deque([0, 0]),
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deque([1, 1]),
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deque([2, 2, 0])])
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self.assertEqual(m.update_request_windows(c(windows), 2, 1),
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[deque([0, 0]),
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deque([1, 1]),
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deque([2, 2, 1])])
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self.assertEqual(m.update_request_windows(c(windows), 2, 2),
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[deque([0, 0]),
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deque([1, 1]),
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deque([2, 2, 2])])
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max_window_size = 2
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windows = [deque([0, 0], max_window_size),
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deque([1, 1], max_window_size),
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deque([2, 2], max_window_size)]
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self.assertEqual(m.update_request_windows(c(windows), 0, 0),
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[deque([0, 0]),
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deque([1, 1]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 0, 1),
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[deque([0, 1]),
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deque([1, 1]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 0, 2),
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[deque([0, 2]),
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deque([1, 1]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 1, 0),
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[deque([0, 0]),
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deque([1, 0]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 1, 1),
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[deque([0, 0]),
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deque([1, 1]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 1, 2),
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[deque([0, 0]),
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deque([1, 2]),
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deque([2, 2])])
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self.assertEqual(m.update_request_windows(c(windows), 2, 0),
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[deque([0, 0]),
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deque([1, 1]),
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deque([2, 0])])
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self.assertEqual(m.update_request_windows(c(windows), 2, 1),
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[deque([0, 0]),
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deque([1, 1]),
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deque([2, 1])])
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self.assertEqual(m.update_request_windows(c(windows), 2, 2),
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[deque([0, 0]),
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deque([1, 1]),
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deque([2, 2])])
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def test_update_estimate_windows(self):
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req_win = [deque([1, 0, 0, 0]),
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deque([1, 0, 1, 0])]
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est_win = [[{2: deque([0, 0], 2),
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4: deque([0, 0], 4)},
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{2: deque([0, 0], 2),
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4: deque([0, 0], 4)}],
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[{2: deque([0, 0], 2),
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4: deque([0, 0], 4)},
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{2: deque([0, 0], 2),
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4: deque([0, 0], 4)}]]
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self.assertEqual(
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m.update_estimate_windows(c(est_win), c(req_win), 0),
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[[{2: deque([0, 1.0]),
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4: deque([0, 0, 0.75])},
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{2: deque([0, 0.0]),
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4: deque([0, 0, 0.25])}],
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[{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])}]])
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self.assertEqual(
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m.update_estimate_windows(c(est_win), c(req_win), 1),
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[[{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])}],
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[{2: deque([0, 0.5]),
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4: deque([0, 0, 0.5])},
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{2: deque([0, 0.5]),
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4: deque([0, 0, 0.5])}]])
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req_win = [deque([1, 0, 2, 0]),
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deque([1, 0, 1, 0]),
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deque([2, 2, 1, 0])]
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est_win = [[{2: deque([0, 0], 2),
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4: deque([0, 0], 4)},
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{2: deque([0, 0], 2),
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4: deque([0, 0], 4)},
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{2: deque([0, 0], 2),
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4: deque([0, 0], 4)}],
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[{2: deque([0, 0], 2),
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4: deque([0, 0], 4)},
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{2: deque([0, 0], 2),
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4: deque([0, 0], 4)},
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{2: deque([0, 0], 2),
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4: deque([0, 0], 4)}],
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[{2: deque([0, 0], 2),
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4: deque([0, 0], 4)},
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{2: deque([0, 0], 2),
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4: deque([0, 0], 4)},
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{2: deque([0, 0], 2),
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4: deque([0, 0], 4)}]]
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self.assertEqual(
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m.update_estimate_windows(c(est_win), c(req_win), 0),
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[[{2: deque([0, 0.5]),
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4: deque([0, 0, 0.5])},
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{2: deque([0, 0.0]),
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4: deque([0, 0, 0.25])},
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{2: deque([0, 0.5]),
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4: deque([0, 0, 0.25])}],
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[{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])}],
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[{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])}]])
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self.assertEqual(
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m.update_estimate_windows(c(est_win), c(req_win), 1),
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[[{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])}],
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[{2: deque([0, 0.5]),
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4: deque([0, 0, 0.5])},
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{2: deque([0, 0.5]),
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4: deque([0, 0, 0.5])},
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{2: deque([0, 0.0]),
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4: deque([0, 0, 0.0])}],
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[{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])}]])
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self.assertEqual(
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m.update_estimate_windows(c(est_win), c(req_win), 2),
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[[{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])}],
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[{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])},
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{2: deque([0, 0]),
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4: deque([0, 0])}],
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[{2: deque([0, 0.5]),
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4: deque([0, 0, 0.25])},
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{2: deque([0, 0.5]),
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4: deque([0, 0, 0.25])},
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{2: deque([0, 0.0]),
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4: deque([0, 0, 0.5])}]])
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def test_update_variances(self):
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est_win = [[{2: deque([0, 0.5], 2),
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4: deque([1, 0, 0, 0], 4)},
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{2: deque([1.0, 0.5], 2),
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4: deque([0, 1, 1, 1], 4)}],
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[{2: deque([0.5, 0.25], 2),
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4: deque([0.25, 0.25, 0.5, 0.5], 4)},
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{2: deque([0.5, 0.75], 2),
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4: deque([0.75, 0.75, 0.5, 0.5], 4)}]]
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variances = [[{2: 0,
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4: 0},
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{2: 0,
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4: 0}],
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[{2: 0,
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4: 0},
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{2: 0,
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4: 0}]]
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self.assertEqual(m.update_variances(c(variances), c(est_win), 0),
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[[{2: 0.125,
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4: 0.25},
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{2: 0.125,
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4: 0.25}],
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[{2: 0,
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4: 0},
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{2: 0,
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4: 0}]])
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self.assertEqual(m.update_variances(c(variances), c(est_win), 1),
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[[{2: 0,
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4: 0},
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{2: 0,
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4: 0}],
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[{2: 0.03125,
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4: 0.020833333333333332},
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{2: 0.03125,
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4: 0.020833333333333332}]])
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self.assertEqual(m.update_variances(
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m.update_variances(c(variances), c(est_win), 0), c(est_win), 0),
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[[{2: 0.125,
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4: 0.25},
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{2: 0.125,
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4: 0.25}],
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[{2: 0,
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4: 0},
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{2: 0,
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4: 0}]])
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est_win = [[{2: deque([0, 0], 2),
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4: deque([1, 0, 0, 0], 4)},
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{2: deque([1, 1], 2),
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4: deque([0, 0, 1, 1], 4)},
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{2: deque([0, 0], 2),
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4: deque([0, 1, 0, 0], 4)}],
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[{2: deque([0.5, 0.25], 2),
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4: deque([0.25, 0.05, 0.5, 0.25], 4)},
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{2: deque([0.25, 0.5], 2),
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4: deque([0.4, 0.55, 0.25, 0.5], 4)},
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{2: deque([0.25, 0.25], 2),
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4: deque([0.35, 0.4, 0.25, 0.25], 4)}],
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[{2: deque([1, 0], 2),
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4: deque([1, 0, 1, 0], 4)},
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{2: deque([0, 1], 2),
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4: deque([0, 0, 0, 1], 4)},
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{2: deque([0, 0], 2),
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4: deque([0, 1, 0, 0], 4)}]]
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variances = [[{2: 0,
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4: 0},
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{2: 0,
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4: 0},
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{2: 0,
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4: 0}],
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[{2: 0,
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4: 0},
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{2: 0,
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4: 0},
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{2: 0,
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4: 0}],
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[{2: 0,
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4: 0},
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{2: 0,
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4: 0},
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{2: 0,
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4: 0}]]
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self.assertEqual(m.update_variances(c(variances), c(est_win), 0),
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[[{2: 0.0,
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4: 0.25},
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{2: 0.0,
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4: 0.3333333333333333},
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{2: 0.0,
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4: 0.25}],
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[{2: 0,
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4: 0},
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{2: 0,
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4: 0},
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{2: 0,
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4: 0}],
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[{2: 0,
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4: 0},
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{2: 0,
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4: 0},
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{2: 0,
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4: 0}]])
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self.assertEqual(m.update_variances(c(variances), c(est_win), 1),
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[[{2: 0,
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4: 0},
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{2: 0,
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4: 0},
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{2: 0,
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4: 0}],
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[{2: 0.03125,
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4: 0.03395833333333333},
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{2: 0.03125,
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4: 0.0175},
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{2: 0.0,
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4: 0.005625000000000001}],
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[{2: 0,
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4: 0},
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{2: 0,
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4: 0},
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{2: 0,
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4: 0}]])
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self.assertEqual(m.update_variances(c(variances), c(est_win), 2),
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[[{2: 0,
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4: 0},
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{2: 0,
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4: 0},
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{2: 0,
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4: 0}],
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[{2: 0,
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4: 0},
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{2: 0,
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4: 0},
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{2: 0,
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4: 0}],
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[{2: 0.5,
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4: 0.3333333333333333},
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{2: 0.5,
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4: 0.25},
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{2: 0.0,
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4: 0.25}]])
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def test_update_acceptable_variances(self):
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est_win = [[{2: deque([0, 0.5], 2),
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4: deque([1, 0, 0, 0], 4)},
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{2: deque([1.0, 0.5], 2),
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4: deque([0, 1, 1, 1], 4)}],
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[{2: deque([0.5, 0.25], 2),
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4: deque([0.25, 0.25, 0.5, 0.5], 4)},
|
|
{2: deque([0.5, 0.75], 2),
|
|
4: deque([0.75, 0.75, 0.5, 0.5], 4)}]]
|
|
acc_variances = [[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}]]
|
|
|
|
self.assertEqual(m.update_acceptable_variances(c(acc_variances),
|
|
c(est_win), 0),
|
|
[[{2: 0.125,
|
|
4: 0.0},
|
|
{2: 0.125,
|
|
4: 0.0}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}]])
|
|
self.assertEqual(m.update_acceptable_variances(c(acc_variances),
|
|
c(est_win), 1),
|
|
[[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}],
|
|
[{2: 0.09375,
|
|
4: 0.0625},
|
|
{2: 0.09375,
|
|
4: 0.0625}]])
|
|
self.assertEqual(m.update_acceptable_variances(
|
|
m.update_acceptable_variances(
|
|
c(acc_variances), c(est_win), 0), c(est_win), 0),
|
|
[[{2: 0.125,
|
|
4: 0.0},
|
|
{2: 0.125,
|
|
4: 0.0}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}]])
|
|
|
|
est_win = [[{2: deque([0, 0], 2),
|
|
4: deque([1, 0, 0, 0], 4)},
|
|
{2: deque([1, 1], 2),
|
|
4: deque([0, 0, 1, 1], 4)},
|
|
{2: deque([0, 0], 2),
|
|
4: deque([0, 1, 0, 0], 4)}],
|
|
[{2: deque([0.5, 0.25], 2),
|
|
4: deque([0.25, 0.05, 0.5, 0.25], 4)},
|
|
{2: deque([0.25, 0.5], 2),
|
|
4: deque([0.4, 0.55, 0.25, 0.5], 4)},
|
|
{2: deque([0.25, 0.25], 2),
|
|
4: deque([0.35, 0.4, 0.25, 0.25], 4)}],
|
|
[{2: deque([1, 0], 2),
|
|
4: deque([1, 0, 1, 0], 4)},
|
|
{2: deque([0, 1], 2),
|
|
4: deque([0, 0, 0, 1], 4)},
|
|
{2: deque([0, 0], 2),
|
|
4: deque([0, 1, 0, 0], 4)}]]
|
|
acc_variances = [[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}]]
|
|
|
|
self.assertEqual(m.update_acceptable_variances(c(acc_variances),
|
|
c(est_win), 0),
|
|
[[{2: 0.0,
|
|
4: 0.0},
|
|
{2: 0.0,
|
|
4: 0.0},
|
|
{2: 0.0,
|
|
4: 0.0}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}]])
|
|
self.assertEqual(m.update_acceptable_variances(c(acc_variances),
|
|
c(est_win), 1),
|
|
[[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}],
|
|
[{2: 0.09375,
|
|
4: 0.046875},
|
|
{2: 0.125,
|
|
4: 0.0625},
|
|
{2: 0.09375,
|
|
4: 0.046875}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}]])
|
|
self.assertEqual(m.update_acceptable_variances(c(acc_variances),
|
|
c(est_win), 2),
|
|
[[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0}],
|
|
[{2: 0.0,
|
|
4: 0.0},
|
|
{2: 0.0,
|
|
4: 0.0},
|
|
{2: 0.0,
|
|
4: 0.0}]])
|
|
|
|
def test_select_window(self):
|
|
variances = [[{2: 0.2,
|
|
4: 0.9},
|
|
{2: 0.2,
|
|
4: 0.6}],
|
|
[{2: 0.2,
|
|
4: 0},
|
|
{2: 0.2,
|
|
4: 0.8}]]
|
|
acc_variances = [[{2: 0.1,
|
|
4: 0.5},
|
|
{2: 0.4,
|
|
4: 0.5}],
|
|
[{2: 0.4,
|
|
4: 0.5},
|
|
{2: 0.1,
|
|
4: 0.5}]]
|
|
window_sizes = [2, 4]
|
|
|
|
self.assertEqual(
|
|
m.select_window(variances, acc_variances, window_sizes),
|
|
[[2, 2],
|
|
[4, 2]])
|
|
|
|
variances = [[{2: 0,
|
|
4: 0.9},
|
|
{2: 0,
|
|
4: 0}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0.8}]]
|
|
acc_variances = [[{2: 0.5,
|
|
4: 0.5},
|
|
{2: 0.6,
|
|
4: 0.5}],
|
|
[{2: 0.7,
|
|
4: 0.5},
|
|
{2: 0.4,
|
|
4: 0.5}]]
|
|
window_sizes = [2, 4]
|
|
|
|
self.assertEqual(
|
|
m.select_window(variances, acc_variances, window_sizes),
|
|
[[2, 4],
|
|
[4, 2]])
|
|
|
|
variances = [[{2: 0,
|
|
4: 0.9},
|
|
{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 1.0}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0.8},
|
|
{2: 0,
|
|
4: 0}],
|
|
[{2: 0,
|
|
4: 0},
|
|
{2: 0,
|
|
4: 0.8},
|
|
{2: 0.5,
|
|
4: 0}]]
|
|
acc_variances = [[{2: 0.5,
|
|
4: 0.9},
|
|
{2: 0.6,
|
|
4: 0.9},
|
|
{2: 0.6,
|
|
4: 0.9}],
|
|
[{2: 0.7,
|
|
4: 0.9},
|
|
{2: 0.4,
|
|
4: 0.9},
|
|
{2: 0.4,
|
|
4: 0.9}],
|
|
[{2: 0.7,
|
|
4: 0.9},
|
|
{2: 0.4,
|
|
4: 0.5},
|
|
{2: 0.4,
|
|
4: 0.9}]]
|
|
window_sizes = [2, 4]
|
|
|
|
self.assertEqual(
|
|
m.select_window(variances, acc_variances, window_sizes),
|
|
[[4, 4, 2],
|
|
[4, 4, 4],
|
|
[4, 2, 2]])
|
|
|
|
def test_select_best_estimates(self):
|
|
est_win = [[{2: deque([0, 0], 2),
|
|
4: deque([1, 0, 0, 0], 4)},
|
|
{2: deque([1, 1], 2),
|
|
4: deque([0, 0, 1, 1], 4)},
|
|
{2: deque([0, 0], 2),
|
|
4: deque([0, 1, 0, 0], 4)}],
|
|
[{2: deque([0.5, 0.25], 2),
|
|
4: deque([0.25, 0.05, 0.5, 0.25], 4)},
|
|
{2: deque([0.25, 0.5], 2),
|
|
4: deque([0.4, 0.55, 0.25, 0.6], 4)},
|
|
{2: deque([0.25, 0.25], 2),
|
|
4: deque([0.35, 0.4, 0.25, 0.15], 4)}],
|
|
[{2: deque([1, 0], 2),
|
|
4: deque([1, 0, 1, 0], 4)},
|
|
{2: deque([0, 1], 2),
|
|
4: deque([0, 0, 0, 0.2], 4)},
|
|
{2: deque([0, 0], 2),
|
|
4: deque([0, 1, 0, 0], 4)}]]
|
|
selected_windows1 = [[2, 4, 2],
|
|
[2, 2, 4],
|
|
[4, 2, 2]]
|
|
selected_windows2 = [[4, 4, 4],
|
|
[2, 2, 2],
|
|
[2, 4, 2]]
|
|
|
|
self.assertEqual(
|
|
m.select_best_estimates(c(est_win), selected_windows1),
|
|
[[0, 1, 0],
|
|
[0.25, 0.5, 0.15],
|
|
[0, 1, 0]])
|
|
|
|
self.assertEqual(
|
|
m.select_best_estimates(c(est_win), selected_windows2),
|
|
[[0, 1, 0],
|
|
[0.25, 0.5, 0.25],
|
|
[0, 0.2, 0]])
|
|
|
|
est_win = [[{2: deque(),
|
|
4: deque()},
|
|
{2: deque(),
|
|
4: deque()}],
|
|
[{2: deque(),
|
|
4: deque()},
|
|
{2: deque(),
|
|
4: deque()}]]
|
|
|
|
self.assertEqual(
|
|
m.select_best_estimates(c(est_win), [[2, 4], [4, 2]]),
|
|
[[0.0, 0.0],
|
|
[0.0, 0.0]])
|
|
|
|
self.assertEqual(
|
|
m.select_best_estimates(c(est_win), [[2, 2], [4, 4]]),
|
|
[[0.0, 0.0],
|
|
[0.0, 0.0]])
|
|
|
|
def test_init_request_windows(self):
|
|
self.assertEqual(m.init_request_windows(1), [deque()])
|
|
self.assertEqual(m.init_request_windows(2), [deque(),
|
|
deque()])
|
|
self.assertEqual(m.init_request_windows(3), [deque(),
|
|
deque(),
|
|
deque()])
|
|
|
|
def test_init_variances(self):
|
|
self.assertEqual(m.init_variances([2, 4], 1), [[{2: 1.0,
|
|
4: 1.0}]])
|
|
self.assertEqual(m.init_variances([2, 4], 2), [[{2: 1.0,
|
|
4: 1.0},
|
|
{2: 1.0,
|
|
4: 1.0}],
|
|
[{2: 1.0,
|
|
4: 1.0},
|
|
{2: 1.0,
|
|
4: 1.0}]])
|
|
self.assertEqual(m.init_variances([2, 4], 3), [[{2: 1.0,
|
|
4: 1.0},
|
|
{2: 1.0,
|
|
4: 1.0},
|
|
{2: 1.0,
|
|
4: 1.0}],
|
|
[{2: 1.0,
|
|
4: 1.0},
|
|
{2: 1.0,
|
|
4: 1.0},
|
|
{2: 1.0,
|
|
4: 1.0}],
|
|
[{2: 1.0,
|
|
4: 1.0},
|
|
{2: 1.0,
|
|
4: 1.0},
|
|
{2: 1.0,
|
|
4: 1.0}]])
|
|
|
|
def test_init_3_level_structure(self):
|
|
structure = m.init_deque_structure([2, 4], 1)
|
|
self.assertEqual(structure, [[{2: deque(),
|
|
4: deque()}]])
|
|
self.assertEqual(deque_maxlen(structure[0][0][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[0][0][4]), 4)
|
|
|
|
structure = m.init_deque_structure([2, 4], 2)
|
|
self.assertEqual(structure, [[{2: deque(),
|
|
4: deque()},
|
|
{2: deque(),
|
|
4: deque()}],
|
|
[{2: deque(),
|
|
4: deque()},
|
|
{2: deque(),
|
|
4: deque()}]])
|
|
self.assertEqual(deque_maxlen(structure[0][0][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[0][0][4]), 4)
|
|
self.assertEqual(deque_maxlen(structure[0][1][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[0][1][4]), 4)
|
|
self.assertEqual(deque_maxlen(structure[1][0][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[1][0][4]), 4)
|
|
self.assertEqual(deque_maxlen(structure[1][1][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[1][1][4]), 4)
|
|
|
|
structure = m.init_deque_structure([2, 4], 3)
|
|
self.assertEqual(structure, [[{2: deque(),
|
|
4: deque()},
|
|
{2: deque(),
|
|
4: deque()},
|
|
{2: deque(),
|
|
4: deque()}],
|
|
[{2: deque(),
|
|
4: deque()},
|
|
{2: deque(),
|
|
4: deque()},
|
|
{2: deque(),
|
|
4: deque()}],
|
|
[{2: deque(),
|
|
4: deque()},
|
|
{2: deque(),
|
|
4: deque()},
|
|
{2: deque(),
|
|
4: deque()}]])
|
|
self.assertEqual(deque_maxlen(structure[0][0][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[0][0][4]), 4)
|
|
self.assertEqual(deque_maxlen(structure[0][1][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[0][1][4]), 4)
|
|
self.assertEqual(deque_maxlen(structure[0][2][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[0][2][4]), 4)
|
|
self.assertEqual(deque_maxlen(structure[1][0][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[1][0][4]), 4)
|
|
self.assertEqual(deque_maxlen(structure[1][1][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[1][1][4]), 4)
|
|
self.assertEqual(deque_maxlen(structure[1][2][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[1][2][4]), 4)
|
|
self.assertEqual(deque_maxlen(structure[2][0][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[2][0][4]), 4)
|
|
self.assertEqual(deque_maxlen(structure[2][1][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[2][1][4]), 4)
|
|
self.assertEqual(deque_maxlen(structure[2][2][2]), 2)
|
|
self.assertEqual(deque_maxlen(structure[2][2][4]), 4)
|
|
|
|
def test_init_selected_window_sizes(self):
|
|
self.assertEqual(
|
|
m.init_selected_window_sizes([2, 4], 1), [[2]])
|
|
self.assertEqual(
|
|
m.init_selected_window_sizes([2, 4], 2), [[2, 2],
|
|
[2, 2]])
|
|
self.assertEqual(
|
|
m.init_selected_window_sizes([2, 4], 3), [[2, 2, 2],
|
|
[2, 2, 2],
|
|
[2, 2, 2]])
|
|
|
|
|
|
def deque_maxlen(coll):
|
|
return int(re.sub("\)$", "", re.sub(".*=", "", coll.__repr__())))
|