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##############################################################################
# Copyright (c) 2016 CENGN and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
from random import uniform, randrange
import unittest
from storperf.utilities import math as math
class MathRangeTest(unittest.TestCase):
def setUp(self):
unittest.TestCase.setUp(self)
def test_empty_series(self):
expected = 0
data_series = []
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_integer_series(self):
expected = 11946
data_series = [5, 351, 847, 2, 1985, 18,
96, 389, 687, 1, 11947, 758, 155]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_float_series_1_decimal(self):
expected = 778595.5
data_series = [736.4, 9856.4, 684.2, 0.3, 0.9, 778595.8]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_float_series_2_decimals(self):
expected = 5693.47
data_series = [51.36, 78.40, 1158.24, 5.50, 0.98, 5694.45]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_float_series_3_decimals(self):
expected = 992.181
data_series = [4.562, 12.582, 689.452,
135.162, 996.743, 65.549, 36.785]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_float_series_4_decimals(self):
expected = 122985.3241
data_series = [39.4785, 896.7845, 11956.3654,
44.2398, 6589.7134, 0.3671, 122985.6912]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_float_series_5_decimals(self):
expected = 8956208.84494
data_series = [12.78496, 55.91275, 668.94378,
550396.5671, 512374.9999, 8956221.6299]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_float_series_10_decimals(self):
expected = 5984.507397972699
data_series = [1.1253914785, 5985.6327894512,
256.1875693287, 995.8497623415]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_float_mix(self):
expected = 60781.6245372199
data_series = [60785.9962, 899.4, 78.66, 69.58, 4.93795,
587.195486, 96.7694536, 5.13755964,
33.333333334, 60786.5624872199]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_float_integer_mix(self):
expected = 460781.05825
data_series = [460785.9962, 845.634, 24.1, 69.58, 89, 4.93795]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_negative_values(self):
expected = 596.78163
data_series = [-4.655, -33.3334, -596.78422, -0.00259, -66.785]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_negative_positive_mix(self):
expected = 58.859500000000004
data_series = [6.85698, -2.8945, 0, -0.15, 55.965]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_single_element(self):
expected = 0
data_series = [2.265]
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_10000_values_processing(self):
expected = 28001.068
data_series = [uniform(-10000, 10000) for i in xrange(10000)]
data_series.insert(randrange(len(data_series) + 1), 15000.569)
data_series.insert(randrange(len(data_series) + 1), -13000.499)
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
def test_processing_100_values_100_times(self):
expected = 35911.3134
for index in range(1, 100):
data_series = [uniform(-10000, 10000) for i in xrange(100)]
data_series.insert(randrange(len(data_series) + 1), 16956.3334)
data_series.insert(randrange(len(data_series) + 1), -18954.98)
actual = math.range_value(data_series)
self.assertEqual(expected, actual)
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