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authorMark Beierl <mark.beierl@emc.com>2016-07-14 16:20:44 -0400
committerMark Beierl <mark.beierl@emc.com>2016-07-14 16:20:44 -0400
commit2227414bd57f4b7f5f275d915fa8f6a2aa21f8f7 (patch)
treeb7ed9d0e356d27383396d680b059b4ab18069915 /tests/utilities_tests/math_range_test.py
parentce3f927c2bc98eaf124e96f99cbcc33fbebabeed (diff)
Separation of test and source
Moving the test files into their own top-level directory to keep things clean Change-Id: Ic50b881045bc59b003807923424345b335dd5c95 Signed-off-by: Mark Beierl <mark.beierl@emc.com>
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diff --git a/tests/utilities_tests/math_range_test.py b/tests/utilities_tests/math_range_test.py
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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)