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, 12 insertions, 12 deletions

diff --git a/tests/utilities_tests/math_slope_test.py b/tests/utilities_tests/math_slope_test.py
index a34845b..6c05aa4 100644
--- a/tests/utilities_tests/math_slope_test.py
+++ b/tests/utilities_tests/math_slope_test.py
@@ -7,7 +7,7 @@
 # http://www.apache.org/licenses/LICENSE-2.0
 ##############################################################################
 import unittest
-from storperf.utilities import math as math
+from storperf.utilities import math as Slope
 
 
 class MathSlopeTest(unittest.TestCase):
@@ -17,51 +17,51 @@ class MathSlopeTest(unittest.TestCase):
         pass
 
     def test_slope_empty_series(self):
-        expected = 0
-        actual = math.slope([])
+        expected = None
+        actual = Slope.slope([])
         self.assertEqual(expected, actual)
 
     def test_slope_integer_series(self):
         expected = 1.4
-        actual = math.slope([[1, 6], [2, 5], [3, 7], [4, 10]])
+        actual = Slope.slope([[1, 6], [2, 5], [3, 7], [4, 10]])
         self.assertEqual(expected, actual)
 
     def test_slope_decimal_series(self):
         expected = 1.4
-        actual = math.slope([[1.0, 6.0], [2.0, 5.0], [3.0, 7.0], [4.0, 10.0]])
+        actual = Slope.slope([[1.0, 6.0], [2.0, 5.0], [3.0, 7.0], [4.0, 10.0]])
         self.assertEqual(expected, actual)
 
     def test_slope_decimal_integer_mix(self):
         expected = 1.4
-        actual = math.slope([[1.0, 6], [2, 5.0], [3, 7], [4.0, 10]])
+        actual = Slope.slope([[1.0, 6], [2, 5.0], [3, 7], [4.0, 10]])
         self.assertEqual(expected, actual)
 
     def test_slope_negative_y_series(self):
         expected = 2
-        actual = math.slope([[1.0, -2], [2, 2], [3, 2]])
+        actual = Slope.slope([[1.0, -2], [2, 2], [3, 2]])
         self.assertEqual(expected, actual)
 
     def test_slope_negative_x_series(self):
         expected = 1.4
-        actual = math.slope([[-24, 6.0], [-23, 5], [-22, 7.0], [-21, 10]])
+        actual = Slope.slope([[-24, 6.0], [-23, 5], [-22, 7.0], [-21, 10]])
         self.assertEqual(expected, actual)
 
     def test_slope_out_of_order_series(self):
         expected = 1.4
-        actual = math.slope([[2, 5.0], [4, 10], [3.0, 7], [1, 6]])
+        actual = Slope.slope([[2, 5.0], [4, 10], [3.0, 7], [1, 6]])
         self.assertEqual(expected, actual)
 
     def test_slope_0_in_y(self):
         expected = -0.5
-        actual = math.slope([[15.5, 1], [16.5, 0], [17.5, 0]])
+        actual = Slope.slope([[15.5, 1], [16.5, 0], [17.5, 0]])
         self.assertEqual(expected, actual)
 
     def test_slope_0_in_x(self):
         expected = 1.4
-        actual = math.slope([[0, 6.0], [1, 5], [2, 7], [3, 10]])
+        actual = Slope.slope([[0, 6.0], [1, 5], [2, 7], [3, 10]])
         self.assertEqual(expected, actual)
 
     def test_slope_0_in_x_and_y(self):
         expected = 1.5
-        actual = math.slope([[0.0, 0], [1, 1], [2, 3]])
+        actual = Slope.slope([[0.0, 0], [1, 1], [2, 3]])
         self.assertEqual(expected, actual)