def testNumpyAverageMixTypesValueArray(self):
npsy = NumpySciPy()
multiArray = [[0.01,1],[0.01,1]]
actual = npsy.numpyAverage(multiArray)
expected = 0.505
self.assertEqual(expected,actual)
def testNumpyAverageOneValueArray(self):
npsy = NumpySciPy()
multiArray = [[1,2],[1,2]]
actual = npsy.numpyAverage(multiArray)
expected = 1.5
self.assertEqual(expected,actual)
def testNumpyAverageEmptyArray(self):
npsy = NumpySciPy()
emptyArray = []
isNaN = np.isnan(npsy.numpyAverage(emptyArray))
self.assertTrue(isNaN)
def testNumpyAveragetwoValueArray(self):
npsy = NumpySciPy()
emptyArray = [[1,2]]
actual = npsy.numpyAverage(emptyArray)
expected = 1.5
self.assertEqual(expected,actual)
def testNumpyAverageOneOffValueArray(self):
npsy = NumpySciPy()
multiArray = [[0.01,1],[1,4]]
actual = npsy.numpyAverage(multiArray)
expected = 1.5025
self.assertEqual(expected,actual)