def testNormalizeZeroVariance(self):
# A list with a standard deviation of zero cannot be normalized because
# the standard deviation cannot be made equal to 1.
normalized = find_step._Normalize([5.0])
self.assertEqual(1, len(normalized))
self.assertTrue(math.isnan(normalized[0]))
normalized = find_step._Normalize([5.0, 5.0])
self.assertEqual(2, len(normalized))
self.assertTrue(math.isnan(normalized[0]))
self.assertTrue(math.isnan(normalized[1]))
def testNormalizeZeroVariance(self):
# A list with a standard deviation of zero cannot be normalized because
# the standard deviation cannot be made equal to 1.
normalized = find_step._Normalize([5.0])
self.assertEqual(1, len(normalized))
self.assertTrue(math.isnan(normalized[0]))
normalized = find_step._Normalize([5.0, 5.0])
self.assertEqual(2, len(normalized))
self.assertTrue(math.isnan(normalized[0]))
self.assertTrue(math.isnan(normalized[1]))
def testNormalize_ResultMeanIsZeroAndStdDevIsOne(self): # When a data series is normalized, it is guaranteed that the result # should have a mean of 0.0 and a standard deviation and variance of 1.0. _, y_values = zip(*_QUITE_STEPPISH) normalized = find_step._Normalize(y_values) self.assertAlmostEqual(0.0, math_utils.Mean(normalized)) self.assertAlmostEqual(1.0, math_utils.StandardDeviation(normalized))
def testNormalize_ResultMeanIsZeroAndStdDevIsOne(self): # When a data series is normalized, it is guaranteed that the result # should have a mean of 0.0 and a standard deviation and variance of 1.0. _, y_values = zip(*_QUITE_STEPPISH) normalized = find_step._Normalize(y_values) self.assertAlmostEqual(0.0, math_utils.Mean(normalized)) self.assertAlmostEqual(1.0, math_utils.StandardDeviation(normalized))
def testNormalize_ShortList(self):
self.assertEqual([-1, 1], find_step._Normalize([3, 4]))
self.assertEqual(
[-1.2247448713915889, 0, 1.2247448713915889],
find_step._Normalize([3, 4, 5]))
def testNormalize_EmptyInput_ReturnsEmptyList(self): self.assertEqual(0, len(find_step._Normalize([])))
def testNormalize_ShortList(self):
self.assertEqual([-1, 1], find_step._Normalize([3, 4]))
self.assertEqual(
[-1.2247448713915889, 0, 1.2247448713915889],
find_step._Normalize([3, 4, 5]))
def testNormalize_EmptyInput_ReturnsEmptyList(self): self.assertEqual(0, len(find_step._Normalize([])))
