feat: GEVP not evaluated for t <= t0, additional checks added,

Eigenvector sort method can now cope with None entries.
This commit is contained in:
Fabian Joswig 2022-05-12 16:40:32 +01:00
parent 165e294b90
commit 10fc8b1f6e
2 changed files with 10 additions and 8 deletions

View file

@ -230,8 +230,8 @@ def test_matrix_corr():
corr_mat = pe.Corr(np.array([[corr_aa, corr_ab], [corr_ab, corr_aa]]))
corr_mat.item(0, 0)
vec_0 = corr_mat.GEVP(0, 0, sorted_list=None)
vec_1 = corr_mat.GEVP(0, 0, state=1, sorted_list=None)
vec_0 = corr_mat.GEVP(0, 1, sorted_list=None)
vec_1 = corr_mat.GEVP(0, 1, state=1, sorted_list=None)
corr_0 = corr_mat.projected(vec_0)
corr_1 = corr_mat.projected(vec_1)
@ -240,7 +240,7 @@ def test_matrix_corr():
assert np.all([o == 0 for o in corr_1 - corr_aa])
corr_mat.GEVP(0, sorted_list="Eigenvalue")
corr_mat.GEVP(0, 0, sorted_list="Eigenvector")
corr_mat.GEVP(0, 1, sorted_list="Eigenvector")
corr_mat.matrix_symmetric()