def test_numpyarray_fails(self):
with pytest.raises(ValueError):
equal_to(np.asarray(((1, 1), (1, 1))), 0)
with pytest.raises(ValueError):
equal_to(np.asarray(((1, 1), (1, 1))), np.asarray(
((0, 0), (0, 0))))
def unit_vector(value: Union[Sequence[Num], Vector],
name: Optional[AnyStr] = None):
value = np_.asarray(value)
try:
dimensions(value, 1, name)
equal_to(np_.linalg.norm(value), 1,
'norm({})'.format(name if name is not None else 'value'))
except ValueError as ValueE:
raise ValueError(
'Expected `{}` to be a valid unit vector, but was not.'.format(
name if name is not None else 'value', )) from ValueE
def rotation_matrix(value: Union[Sequence[Sequence[Num]], Matrix],
name: Optional[AnyStr] = None):
value = np_.asarray(value)
try:
dimensions(value, 2, name)
shape(value, (3, 3), name)
# greater_than_or_equal_to(value, -1, name)
# less_than_or_equal_to(value, 1, name)
equal_to(np_.abs(np_.linalg.det(value)), 1,
'det({})'.format(name if name is not None else 'value'))
except ValueError as ValueE:
raise ValueError(
'Expected `{}` to be a valid rotation matrix, but was '
'not.'.format(name if name is not None else 'value', )) from ValueE
def test_numpyarray_passes(self):
equal_to(np.asarray(((1, 1), (1, 1))), 1)
equal_to(np.asarray(((1, 1), (1, 1))), np.asarray(((1, 1), (1, 1))))
def test_list_of_list_fails(self):
with pytest.raises(ValueError):
equal_to(((1, 1), (1, 1)), 0)
with pytest.raises(ValueError):
equal_to(((1, 1), (1, 1)), ((0, 0), (0, 0)))
def test_list_of_list_passes(self):
equal_to(((1, 1), (1, 1)), 1)
equal_to(((1, 1), (1, 1)), ((1, 1), (1, 1)))
def test_list_fails(self):
with pytest.raises(ValueError):
equal_to([1, 1, 1, 1], 0)
with pytest.raises(ValueError):
equal_to([1, 1, 1, 1], [0, 0, 0, 0])
def test_list_passes(self):
equal_to([1, 1, 1, 1], 1)
equal_to([1, 1, 1, 1], [1, 1, 1, 1])
def test_scalar_passes(self):
equal_to(1, 1)
equal_to(0, 0)
equal_to(-1, -1)