From aa20b986cebf031489f4280988b4574a9acbc647 Mon Sep 17 00:00:00 2001 From: Tim Rault Date: Fri, 15 Jul 2016 16:32:51 -0400 Subject: Add Steady State Detection module Added a Steady State Detection module containing a steady_state(data_series) function that is able to return a boolean indicating wether or not steady state is reached with the data_series being passed. This module requires a data_treatment(data_series) and an average(data_series) modules that have been added in this commit as well. The data treatment function aims at formatting the data series that is passed to the high level steady_state function to reach the requirement of each sub-module (slope, average and range). Modified the Slope and Range functions so they return None when passed an empty data series instead of 0 which was wrong. Modified the corresponding test cases. Modified the math_range_test.py file to fix a bug in the 2 last tests. Change-Id: I9c3854cb0a21cc37b0787b8afca0821eefaa203d JIRA: STORPERF-60 JIRA: STORPERF-59 JIRA: STORPERF-61 JIRA: STORPERF-62 Signed-off-by: Tim Rault --- tests/utilities_tests/math_average_test.py | 52 ++++++++++++++++++++++++++++++ 1 file changed, 52 insertions(+) create mode 100644 tests/utilities_tests/math_average_test.py (limited to 'tests/utilities_tests/math_average_test.py') diff --git a/tests/utilities_tests/math_average_test.py b/tests/utilities_tests/math_average_test.py new file mode 100644 index 0000000..3095f56 --- /dev/null +++ b/tests/utilities_tests/math_average_test.py @@ -0,0 +1,52 @@ +############################################################################## +# 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 +############################################################################## +import unittest +from storperf.utilities import math as math + + +class MathAverageTest(unittest.TestCase): + + def setUp(self): + unittest.TestCase.setUp(self) + + def test_empty_series(self): + expected = None + data_series = [] + actual = math.average(data_series) + self.assertEqual(expected, actual) + + def test_integer_series(self): + expected = 19.75 + data_series = [5, 12, 7, 55] + actual = math.average(data_series) + self.assertEqual(expected, actual) + + def test_float_series(self): + expected = 63.475899999999996 + data_series = [78.6, 45.187, 33.334, 96.7826] + actual = math.average(data_series) + self.assertEqual(expected, actual) + + def test_float_int_mix(self): + expected = 472.104 + data_series = [10, 557.33, 862, 56.99, 874.2] + actual = math.average(data_series) + self.assertEqual(expected, actual) + + def test_negative_values(self): + expected = -17.314 + data_series = [-15.654, 59.5, 16.25, -150, 3.334] + actual = math.average(data_series) + self.assertEqual(expected, actual) + + def test_single_value(self): + expected = -66.6667 + data_series = [-66.6667] + actual = math.average(data_series) + self.assertEqual(expected, actual) -- cgit 1.2.3-korg