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# Copyright 2015: Mirantis Inc.
# 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.
import math
import os
import ddt
from rally.common import streaming_algorithms as algo
from tests.unit import test
class MeanComputationTestCase(test.TestCase):
def test_empty_stream(self):
mean_computation = algo.MeanComputation()
self.assertIsNone(mean_computation.result())
def test_one_value(self):
mean_computation = algo.MeanComputation()
mean_computation.add(10.0)
self.assertEqual(10.0, mean_computation.result())
def test_stream(self):
stream = range(10)
mean_computation = algo.MeanComputation()
for value in stream:
mean_computation.add(value)
excepted_mean = float(sum(stream)) / len(stream)
self.assertEqual(excepted_mean, mean_computation.result())
def test_merge(self):
single_mean = algo.MeanComputation()
for val in range(100):
single_mean.add(val)
means = [algo.MeanComputation()
for _ in range(10)]
for idx, mean in enumerate(means):
for val in range(idx * 10, (idx + 1) * 10):
mean.add(val)
merged_mean = means[0]
for mean in means[1:]:
merged_mean.merge(mean)
self.assertEqual(single_mean.count, merged_mean.count)
self.assertEqual(single_mean.total, merged_mean.total)
self.assertEqual(single_mean.result(), merged_mean.result())
class StdDevComputationTestCase(test.TestCase):
def test_empty_stream(self):
std_computation = algo.StdDevComputation()
self.assertIsNone(std_computation.result())
def test_one_value(self):
std_computation = algo.StdDevComputation()
std_computation.add(10.0)
self.assertIsNone(std_computation.result())
def test_two_values(self):
std_computation = algo.StdDevComputation()
std_computation.add(10.0)
std_computation.add(10.0)
self.assertEqual(0.0, std_computation.result())
def test_stream(self):
stream = range(10)
std_computation = algo.StdDevComputation()
for value in stream:
std_computation.add(value)
mean = float(sum(stream)) / len(stream)
excepted_std = math.sqrt(
sum((x - mean) ** 2 for x in stream) / (len(stream) - 1))
self.assertEqual(excepted_std, std_computation.result())
def test_merge(self):
single_std = algo.StdDevComputation()
for val in range(100):
single_std.add(val)
stds = [algo.StdDevComputation()
for _ in range(10)]
for idx, std in enumerate(stds):
for val in range(idx * 10, (idx + 1) * 10):
std.add(val)
merged_std = stds[0]
for std in stds[1:]:
merged_std.merge(std)
self.assertEqual(single_std.count, merged_std.count)
self.assertEqual(single_std.mean, merged_std.mean)
self.assertEqual(single_std.dev_sum, merged_std.dev_sum)
self.assertEqual(single_std.result(), merged_std.result())
class MinComputationTestCase(test.TestCase):
def test_add_and_result(self):
comp = algo.MinComputation()
[comp.add(i) for i in [3, 5.2, 2, -1, 1, 8, 33.4, 0, -3, 42, -2]]
self.assertEqual(-3, comp.result())
def test_add_raises(self):
comp = algo.MinComputation()
self.assertRaises(TypeError, comp.add)
self.assertRaises(TypeError, comp.add, None)
self.assertRaises(TypeError, comp.add, "str")
def test_result_empty(self):
comp = algo.MinComputation()
self.assertRaises(TypeError, comp.result, 1)
self.assertIsNone(comp.result())
def test_merge(self):
single_min_algo = algo.MinComputation()
for val in range(100):
single_min_algo.add(val)
algos = [algo.MinComputation()
for _ in range(10)]
for idx, min_algo in enumerate(algos):
for val in range(idx * 10, (idx + 1) * 10):
min_algo.add(val)
merged_min_algo = algos[0]
for min_algo in algos[1:]:
merged_min_algo.merge(min_algo)
self.assertEqual(single_min_algo._value, merged_min_algo._value)
self.assertEqual(single_min_algo.result(), merged_min_algo.result())
class MaxComputationTestCase(test.TestCase):
def test_add_and_result(self):
comp = algo.MaxComputation()
[comp.add(i) for i in [3, 5.2, 2, -1, 1, 8, 33.4, 0, -3, 42, -2]]
self.assertEqual(42, comp.result())
def test_add_raises(self):
comp = algo.MaxComputation()
self.assertRaises(TypeError, comp.add)
self.assertRaises(TypeError, comp.add, None)
self.assertRaises(TypeError, comp.add, "str")
def test_result_empty(self):
comp = algo.MaxComputation()
self.assertRaises(TypeError, comp.result, 1)
self.assertIsNone(comp.result())
def test_merge(self):
single_max_algo = algo.MaxComputation()
for val in range(100):
single_max_algo.add(val)
algos = [algo.MaxComputation()
for _ in range(10)]
for idx, max_algo in enumerate(algos):
for val in range(idx * 10, (idx + 1) * 10):
max_algo.add(val)
merged_max_algo = algos[0]
for max_algo in algos[1:]:
merged_max_algo.merge(max_algo)
self.assertEqual(single_max_algo._value, merged_max_algo._value)
self.assertEqual(single_max_algo.result(), merged_max_algo.result())
class IncrementComputationTestCase(test.TestCase):
def test_add_and_result(self):
comp = algo.IncrementComputation()
for i in range(1, 100):
self.assertEqual(i - 1, comp.result())
comp.add(42)
self.assertEqual(i, comp.result())
def test_merge(self):
single_inc = algo.IncrementComputation()
for val in range(100):
single_inc.add(val)
incs = [algo.IncrementComputation()
for _ in range(10)]
for idx, inc in enumerate(incs):
for val in range(idx * 10, (idx + 1) * 10):
inc.add(val)
merged_inc = incs[0]
for inc in incs[1:]:
merged_inc.merge(inc)
self.assertEqual(single_inc._count, merged_inc._count)
self.assertEqual(single_inc.result(), merged_inc.result())
@ddt.ddt
class DegradationComputationTestCase(test.TestCase):
@ddt.data(
([], None, None, 0.0),
([30.0, 30.0, 30.0, 30.0], 30.0, 30.0, 0.0),
([45.0, 45.0, 45.0, 30.0], 30.0, 45.0, 50.0),
([15.0, 10.0, 20.0, 19.0], 10.0, 20.0, 100.0),
([30.0, 56.0, 90.0, 73.0], 30.0, 90.0, 200.0))
@ddt.unpack
def test_add(self, stream, min_value, max_value, result):
comp = algo.DegradationComputation()
for value in stream:
comp.add(value)
self.assertEqual(min_value, comp.min_value.result())
self.assertEqual(max_value, comp.max_value.result())
self.assertEqual(result, comp.result())
@ddt.data(-10.0, -1.0, -1, 0.0, 0)
def test_add_raise(self, value):
comp = algo.DegradationComputation()
self.assertRaises(ValueError, comp.add, value)
@ddt.data(([39.0, 30.0, 32.0], [49.0, 40.0, 51.0], 30.0, 51.0, 70.0),
([31.0, 30.0, 32.0], [39.0, 45.0, 43.0], 30.0, 45.0, 50.0),
([], [31.0, 30.0, 45.0], 30.0, 45.0, 50.0),
([31.0, 30.0, 45.0], [], 30.0, 45.0, 50.0),
([], [], None, None, 0.0))
@ddt.unpack
def test_merge(self, stream1, stream2, min_value, max_value, result):
comp1 = algo.DegradationComputation()
for value in stream1:
comp1.add(value)
comp2 = algo.DegradationComputation()
for value in stream2:
comp2.add(value)
comp1.merge(comp2)
self.assertEqual(min_value, comp1.min_value.result())
self.assertEqual(max_value, comp1.max_value.result())
self.assertEqual(result, comp1.result())
class PointsSaverTestCase(test.TestCase):
def test_add(self):
points_saver = algo.PointsSaver(chunk_size=5)
points = [i / 10.0 for i in range(1, 10)]
for p in points[:4]:
points_saver.add(p)
# chunk should not be exceeded yet
self.assertFalse(os.path.isfile(points_saver._filename))
self.assertEqual(4, points_saver._current_chunk_size)
self.assertEqual([0.1, 0.2, 0.3, 0.4], points_saver.result())
for p in points[4:]:
points_saver.add(p)
self.assertEqual([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9],
points_saver.result())
self.assertTrue(os.path.isfile(points_saver._filename))
with open(points_saver._filename) as f:
self.assertEqual(" 0.1 0.2 0.3 0.4 0.5", f.read())
def test_merge(self):
points_saver1 = algo.PointsSaver()
points_saver1.add(1)
points_saver2 = algo.PointsSaver()
points_saver2.add(2)
points_saver2.merge(points_saver1)
self.assertEqual([2, 1], points_saver2.result())
def test_reset(self):
points_saver = algo.PointsSaver()
points_saver.add(1)
points_saver.reset()
self.assertRaises(TypeError, points_saver.merge, algo.PointsSaver())
self.assertRaises(TypeError, points_saver.add, 0)
self.assertRaises(TypeError, points_saver.result)
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