def test_reg_pinv():
"""Test regularization and inversion of covariance matrix."""
# create rank-deficient array
a = np.array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]])
# Test if rank-deficient matrix without regularization throws
# specific warning
with pytest.warns(RuntimeWarning, match='deficient'):
_reg_pinv(a, reg=0.)
def test_reg_pinv():
"""Test regularization and inversion of covariance matrix."""
# create rank-deficient array
a = np.array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]])
# Test if rank-deficient matrix without regularization throws
# specific warning
with pytest.warns(RuntimeWarning, match='deficient'):
_reg_pinv(a, reg=0.)
def test_reg_pinv():
"""Test regularization and inversion of covariance matrix."""
# create rank-deficient array
a = np.array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]])
# Test if rank-deficient matrix without regularization throws
# specific warning
with warnings.catch_warnings(record=True) as w:
_reg_pinv(a, reg=0.)
assert (any('deficient' in str(ww.message) for ww in w))