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 <tim.rault@cengn.ca>

1 files changed, 24 insertions, 24 deletions

diff --git a/tests/utilities_tests/math_range_test.py b/tests/utilities_tests/math_range_test.py
index 6484752..90519e7 100644
--- a/tests/utilities_tests/math_range_test.py
+++ b/tests/utilities_tests/math_range_test.py
@@ -9,7 +9,7 @@
 from random import uniform, randrange
 import unittest
 
-from storperf.utilities import math as math
+from storperf.utilities import math as Range
 
 
 class MathRangeTest(unittest.TestCase):
@@ -18,56 +18,56 @@ class MathRangeTest(unittest.TestCase):
         unittest.TestCase.setUp(self)
 
     def test_empty_series(self):
-        expected = 0
+        expected = None
         data_series = []
-        actual = math.range_value(data_series)
+        actual = Range.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)
+        actual = Range.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)
+        actual = Range.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)
+        actual = Range.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)
+        actual = Range.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)
+        actual = Range.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)
+        actual = Range.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)
+        actual = Range.range_value(data_series)
         self.assertEqual(expected, actual)
 
     def test_float_mix(self):
@@ -75,46 +75,46 @@ class MathRangeTest(unittest.TestCase):
         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)
+        actual = Range.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)
+        actual = Range.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)
+        actual = Range.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)
+        actual = Range.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)
+        actual = Range.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)
+        data_series = [uniform(-10000, 10000) for _ in range(10000)]
+        data_series.insert(randrange(len(data_series)), 15000.569)
+        data_series.insert(randrange(len(data_series)), -13000.499)
+        actual = Range.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)
+        for _ in range(1, 100):
+            data_series = [uniform(-10000, 10000) for _ in range(100)]
+            data_series.insert(randrange(len(data_series)), 16956.3334)
+            data_series.insert(randrange(len(data_series)), -18954.98)
+            actual = Range.range_value(data_series)
             self.assertEqual(expected, actual)