jan/meanas
1
0
Fork 0
Code Issues Pull requests Releases Wiki Activity

enable numpy 2.0 and recent scipy

Browse source
This commit is contained in:
Jan Petykiewicz 2024-07-29 02:25:16 -07:00
commit 36431cd0e4
4 changed files with 7 additions and 7 deletions
Download patch file Download diff file Expand all files Collapse all files

6
meanas/fdfd/bloch.py
View file

@ -155,7 +155,7 @@ def generate_kmn(
All are given in the xyz basis (e.g. `|k|[0,0,0] = norm(G_matrix @ k0)`).
"""
k0 = numpy.array(k0)
G_matrix = numpy.array(G_matrix, copy=False)
G_matrix = numpy.asarray(G_matrix)
Gi_grids = numpy.array(numpy.meshgrid(*(fftfreq(n, 1 / n) for n in shape[:3]), indexing='ij'))
Gi = numpy.moveaxis(Gi_grids, 0, -1)
@ -538,7 +538,7 @@ def eigsolve(
`(eigenvalues, eigenvectors)` where `eigenvalues[i]` corresponds to the
vector `eigenvectors[i, :]`
"""
k0 = numpy.array(k0, copy=False)
k0 = numpy.asarray(k0)
h_size = 2 * epsilon[0].size
@ -566,7 +566,7 @@ def eigsolve(
if y0 is None:
Z = rng.random(y_shape) + 1j * rng.random(y_shape)
else:
Z = numpy.array(y0, copy=False).T
Z = numpy.asarray(y0).T
while True:
Z *= num_modes / norm(Z)