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refactor: unnecessary code in scalar_mat_op removed

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This commit is contained in:
Fabian Joswig 2021-12-23 14:26:17 +01:00
parent 1ba7566a62
commit b8c26fd41d
2 changed files with 2 additions and 4 deletions
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4
pyerrors/linalg.py
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@ -213,8 +213,6 @@ def _scalar_mat_op(op, obs, **kwargs):
"""Computes the matrix to scalar operation op to a given matrix of Obs.""" """Computes the matrix to scalar operation op to a given matrix of Obs."""
def _mat(x, **kwargs): def _mat(x, **kwargs):
dim = int(np.sqrt(len(x))) dim = int(np.sqrt(len(x)))
if np.sqrt(len(x)) != dim:
raise Exception('Input has to have dim**2 entries')
mat = [] mat = []
for i in range(dim): for i in range(dim):
@ -227,8 +225,6 @@ def _scalar_mat_op(op, obs, **kwargs):
if isinstance(obs, np.ndarray): if isinstance(obs, np.ndarray):
raveled_obs = (1 * (obs.ravel())).tolist() raveled_obs = (1 * (obs.ravel())).tolist()
elif isinstance(obs, list):
raveled_obs = obs
else: else:
raise TypeError('Unproper type of input.') raise TypeError('Unproper type of input.')
return derived_observable(_mat, raveled_obs, **kwargs) return derived_observable(_mat, raveled_obs, **kwargs)

2
tests/linalg_test.py
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@ -314,6 +314,8 @@ def test_matrix_functions():
# Check determinant # Check determinant
assert pe.linalg.det(np.diag(np.diag(matrix))) == np.prod(np.diag(matrix)) assert pe.linalg.det(np.diag(np.diag(matrix))) == np.prod(np.diag(matrix))
pe.linalg.pinv(matrix[:,:3])
def test_complex_matrix_operations(): def test_complex_matrix_operations():
dimension = 4 dimension = 4