Change all paths

Changes the paths of all source code so that it exists under the dockerfile location
for each container.  This way we can use COPY instead of git clone, as well as use the
existing JJB.

Change-Id: I883b2957d89659c164fff0a1ebc4d677c534796d
JIRA: STORPERF-188
Signed-off-by: mbeierl <mark.beierl@dell.com>

1 files changed, 120 insertions, 0 deletions

diff --git a/docker/storperf-master/tests/utilities_tests/math_range_test.py b/docker/storperf-master/tests/utilities_tests/math_range_test.py
new file mode 100644
index 0000000..90519e7
--- /dev/null
+++ b/docker/storperf-master/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 Range
+
+
+class MathRangeTest(unittest.TestCase):
+
+    def setUp(self):
+        unittest.TestCase.setUp(self)
+
+    def test_empty_series(self):
+        expected = None
+        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 = 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 = 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 = 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 = 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 = 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 = 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 = Range.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 = 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 = 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 = 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 = Range.range_value(data_series)
+        self.assertEqual(expected, actual)
+
+    def test_single_element(self):
+        expected = 0
+        data_series = [2.265]
+        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 _ 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 _ 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)