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feat: guard added to linalg.eig and tests expect NotImplementedError.

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Fabian Joswig 2023-06-19 13:32:55 +01:00
parent 13ace62262
commit 50d975a181
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2 changed files with 9 additions and 0 deletions
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2
pyerrors/linalg.py
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@ -270,6 +270,8 @@ def eigh(obs, **kwargs):
def eig(obs, **kwargs): def eig(obs, **kwargs):
"""Computes the eigenvalues of a given matrix of Obs according to np.linalg.eig.""" """Computes the eigenvalues of a given matrix of Obs according to np.linalg.eig."""
if version.parse(np.__version__) >= version.parse("1.25.0"):
raise NotImplementedError("eig error propagation is not working with numpy>=1.25 and autograd==1.5.")
w = derived_observable(lambda x, **kwargs: anp.real(anp.linalg.eig(x)[0]), obs) w = derived_observable(lambda x, **kwargs: anp.real(anp.linalg.eig(x)[0]), obs)
return w return w

7
tests/linalg_test.py
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@ -312,6 +312,13 @@ def test_matrix_functions():
for (i, j), entry in np.ndenumerate(diff): for (i, j), entry in np.ndenumerate(diff):
assert entry.is_zero() assert entry.is_zero()
else:
with pytest.raises(NotImplementedError):
pe.linalg.eigh(sym)
with pytest.raises(NotImplementedError):
pe.linalg.eig(sym)
with pytest.raises(NotImplementedError):
pe.linalg.svd(sym)
# 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))