def _logm_expm_data(self, func_name="linalg.logm"):
arrays = [
Matrices.to_diagonal(rand(3, 3)),
# TODO: uncomment or delete?
# Matrices.to_symmetric(rand(3, 3)),
# rand(3, 3),
]
return [dict(func_name=func_name, a=array) for array in arrays]
def compose_with_inverse_test_data(self):
smoke_data = [
dict(
func_name_1="linalg.logm",
func_name_2="linalg.expm",
a=Matrices.to_diagonal(rand(3, 3)),
),
dict(
func_name_1="linalg.expm",
func_name_2="linalg.logm",
a=Matrices.to_diagonal(rand(3, 3)),
),
dict(
func_name_1="linalg.logm",
func_name_2="linalg.expm",
a=SpecialOrthogonal(n=3).random_point(2),
),
]
return self.generate_tests(smoke_data)
