def tangent_riemannian_submersion_test_data(self):
random_data = []
for n, n_samples in zip(self.n_list, self.n_samples_list):
bundle = CorrelationMatricesBundle(n)
mat = bundle.random_point()
point = bundle.riemannian_submersion(mat)
vec = bundle.random_point(n_samples)
random_data.append(dict(n=n, vec=vec, point=point))
return self.generate_tests([], random_data)
def exp_log_composition_test_data(self):
bundle = CorrelationMatricesBundle(3)
point = bundle.riemannian_submersion(bundle.random_point(2))
random_data = [dict(dim=3, point=point)]
return self.generate_tests([], random_data)