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Warnings cleanup #1401

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Merged
j-c-c merged 3 commits into from
Aug 4, 2026
Merged

Warnings cleanup #1401

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7d79349
np.fix warning
j-c-c Jul 31, 2026
9ff3c45
resolve casting complex values to real warning
j-c-c Aug 3, 2026
8fbac93
use eigh
j-c-c Aug 4, 2026
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2 changes: 1 addition & 1 deletion src/aspire/classification/reddy_chatterji.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ def _phase_cross_correlation(img0, img1):
maxima = np.unravel_index(
np.argmax(np.abs(cross_correlation)), cross_correlation.shape
)
midpoints = np.array([np.fix(axis_size / 2) for axis_size in shape])
midpoints = np.array([np.trunc(axis_size / 2) for axis_size in shape])

shifts = np.array(maxima, dtype=np.float64)
shifts[shifts > midpoints] -= np.array(shape)[shifts > midpoints]
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4 changes: 2 additions & 2 deletions src/aspire/covariance/covar2d.py
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Expand Up @@ -2,7 +2,7 @@
from time import perf_counter

import numpy as np
from numpy.linalg import eig, inv
from numpy.linalg import eigh, inv
from scipy.linalg import solve, sqrtm

from aspire.basis import Coef, FFBBasis2D
Expand Down Expand Up @@ -30,7 +30,7 @@ def shrink_covar(covar, noise_var, gamma, shrinker="frobenius_norm"):
"soft_threshold",
), "Unsupported shrink method"

lambs, eig_vec = eig(make_symmat(covar))
lambs, eig_vec = eigh(make_symmat(covar))

lambda_max = noise_var * (1 + np.sqrt(gamma)) ** 2

Expand Down