############################################################################## # 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)