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Diffstat (limited to 'tests/utilities_tests/math_range_test.py')
-rw-r--r-- | tests/utilities_tests/math_range_test.py | 120 |
1 files changed, 120 insertions, 0 deletions
diff --git a/tests/utilities_tests/math_range_test.py b/tests/utilities_tests/math_range_test.py new file mode 100644 index 0000000..6484752 --- /dev/null +++ b/tests/utilities_tests/math_range_test.py @@ -0,0 +1,120 @@ +############################################################################## +# 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) |