def test_elementPow_ignore_invalid(self):
""" elementPow correctly detects and ignores invalid data"""
for m in self.matrices:
# Test square all elements
# explicit tests
n = deepcopy(m)
dm = DistanceMatrix(data=n, RowOrder=list(n.keys()),ColOrder=list(n.keys()),\
Pad=False)
dm['A']['A'] = 'p'
dm.elementPow(2)
self.assertEqual(dm.Power, 2.)
self.assertEqual(dm['A']['A'], 'p')
n = deepcopy(m)
dm = DistanceMatrix(data=n, RowOrder=list(n.keys()),ColOrder=list(n.keys()),\
Pad=False)
dm['A']['A'] = None
dm.elementPow(2)
self.assertEqual(dm.Power, 2.)
self.assertEqual(dm['A']['A'], None)
def test_elementPow_ignore_invalid(self):
""" elementPow correctly detects and ignores invalid data"""
for m in self.matrices:
# Test square all elements
# explicit tests
n = deepcopy(m)
dm = DistanceMatrix(data=n, RowOrder=n.keys(),ColOrder=n.keys(),\
Pad=False)
dm['A']['A'] = 'p'
dm.elementPow(2)
self.assertEqual(dm.Power, 2.)
self.assertEqual(dm['A']['A'],'p')
n = deepcopy(m)
dm = DistanceMatrix(data=n, RowOrder=n.keys(),ColOrder=n.keys(),\
Pad=False)
dm['A']['A'] = None
dm.elementPow(2)
self.assertEqual(dm.Power, 2.)
self.assertEqual(dm['A']['A'],None)
def test_elementPow_valid(self):
""" elementPow correctly scales all elements and updates self.Power"""
for m in self.matrices:
# Test square all elements
# explicit tests
n = deepcopy(m)
dm = DistanceMatrix(data=n, RowOrder=list(n.keys()),ColOrder=list(n.keys()),\
Pad=False)
dm.elementPow(2)
self.assertEqual(dm.Power, 2)
self.assertEqual(dm['A']['A'], m['A']['A']**2)
self.assertEqual(dm['B']['A'], m['B']['A']**2)
self.assertEqual(dm['B']['C'], m['B']['C']**2)
# Test cube square root of all elements
# explicit tests
n = deepcopy(m)
dm = DistanceMatrix(data=n, RowOrder=list(n.keys()),ColOrder=list(n.keys()),\
Pad=False)
dm.elementPow(3)
dm.elementPow(1. / 2.)
self.assertEqual(dm.Power, 3. / 2.)
self.assertEqual(dm['A']['A'], m['A']['A']**(3. / 2.))
self.assertEqual(dm['B']['A'], m['B']['A']**(3. / 2.))
self.assertEqual(dm['B']['C'], m['B']['C']**(3. / 2.))
def test_elementPow_valid(self):
""" elementPow correctly scales all elements and updates self.Power"""
for m in self.matrices:
# Test square all elements
# explicit tests
n = deepcopy(m)
dm = DistanceMatrix(data=n, RowOrder=n.keys(),ColOrder=n.keys(),\
Pad=False)
dm.elementPow(2)
self.assertEqual(dm.Power, 2)
self.assertEqual(dm['A']['A'],m['A']['A']**2)
self.assertEqual(dm['B']['A'],m['B']['A']**2)
self.assertEqual(dm['B']['C'],m['B']['C']**2)
# Test cube square root of all elements
# explicit tests
n = deepcopy(m)
dm = DistanceMatrix(data=n, RowOrder=n.keys(),ColOrder=n.keys(),\
Pad=False)
dm.elementPow(3)
dm.elementPow(1./2.)
self.assertEqual(dm.Power, 3./2.)
self.assertEqual(dm['A']['A'],m['A']['A']**(3./2.))
self.assertEqual(dm['B']['A'],m['B']['A']**(3./2.))
self.assertEqual(dm['B']['C'],m['B']['C']**(3./2.))
