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Code Issues 14 Pull requests 2 Packages Activity Actions

[MAINT]: Update dependencies #347

Merged
synchon merged 6 commits from chore/update-deps into main 2024-06-18 14:53:15 +00:00
Conversation 5 Commits 6 Files changed 3 +22 -21
3 changed files with 22 additions and 21 deletions
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1
docs/changes/newsfragments/347.misc Normal file
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@ -0,0 +1 @@
Update core and docs dependencies by `Synchon Mandal`_

14
junifer/external/nilearn/junifer_nifti_spheres_masker.py vendored
View file

@ -10,9 +10,9 @@ from nilearn import image, masking
from nilearn._utils.class_inspect import get_params
from nilearn._utils.niimg import img_data_dtype
from nilearn._utils.niimg_conversions import (
_safe_get_data,
check_niimg_3d,
check_niimg_4d,
safe_get_data,
)
from nilearn.maskers import NiftiSpheresMasker
from nilearn.maskers.base_masker import _filter_and_extract
@ -104,7 +104,7 @@ def _apply_mask_and_get_affinity(
# Compute world coordinates of all in-mask voxels.
if niimg is None:
mask, affine = masking._load_mask_img(mask_img)
mask, affine = masking.load_mask_img(mask_img)
# Get coordinate for all voxels inside of mask
mask_coords = np.asarray(np.nonzero(mask)).T.tolist()
X = None
@ -118,21 +118,21 @@ def _apply_mask_and_get_affinity(
target_shape=niimg.shape[:3],
interpolation="nearest",
fraimondo commented 2024-06-18 14:48:50 +00:00 (Migrated from github.com)
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so thanks to this we stop supporting nilearn 0.9?

so thanks to this we stop supporting nilearn 0.9?
synchon commented 2024-06-18 14:51:01 +00:00 (Migrated from github.com)
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Yeah till 0.12 because of this and a few others.

Yeah till 0.12 because of this and a few others.
)
mask, _ = masking._load_mask_img(mask_img)
mask, _ = masking.load_mask_img(mask_img)
mask_coords = list(zip(*np.where(mask != 0)))
X = masking._apply_mask_fmri(niimg, mask_img)
X = masking.apply_mask_fmri(niimg, mask_img)
elif niimg is not None:
affine = niimg.affine
if np.isnan(np.sum(_safe_get_data(niimg))):
if np.isnan(np.sum(safe_get_data(niimg))):
warn_with_log(
"The imgs you have fed into fit_transform() contains NaN "
"values which will be converted to zeroes."
)
X = _safe_get_data(niimg, True).reshape([-1, niimg.shape[3]]).T
X = safe_get_data(niimg, True).reshape([-1, niimg.shape[3]]).T
else:
X = _safe_get_data(niimg).reshape([-1, niimg.shape[3]]).T
X = safe_get_data(niimg).reshape([-1, niimg.shape[3]]).T
mask_coords = list(np.ndindex(niimg.shape[:3]))

28
pyproject.toml
View file

@ -37,13 +37,13 @@ classifiers = [
]
dependencies = [
"click>=8.1.3,<8.2",
"numpy>=1.24,<1.27",
"scipy>=1.9.0,<=1.11.4",
"datalad>=0.15.4,<0.20",
"pandas>=1.4.0,<2.2",
"nibabel>=3.2.0,<5.11",
"nilearn>=0.9.0,<=0.10.2",
"sqlalchemy>=1.4.27,<=2.1.0",
"numpy>=1.24.0,<2.0.0",
"scipy>=1.10.0,<=1.14.0",
"datalad>=1.0.0,<1.2.0",
"pandas>=2.0.0,<2.3.0",
"nibabel>=5.2.0,<5.3.0",
"nilearn>=0.10.3,<=0.10.4",
"sqlalchemy>=2.0.25,<=2.1.0",
"ruamel.yaml>=0.17,<0.18",
"h5py>=3.10",
"httpx[http2]==0.26.0",
@ -76,14 +76,14 @@ onthefly = [
neurokit2 = ["neurokit2>=0.1.7"]
dev = ["tox", "pre-commit"]
docs = [
"seaborn>=0.11.2,<0.13",
"sphinx>=5.3.0,<7.3",
"sphinx-gallery>=0.11.0,<0.15.0",
"furo>=2022.9.29,<2023.10.0",
"numpydoc>=1.5.0,<1.6",
"julearn>=0.3.0,<0.4",
"seaborn>=0.13.0,<0.14.0",
"sphinx>=7.3.0,<7.4.0",
"sphinx-gallery>=0.15.0,<0.17.0",
"furo>=2024.4.27,<2024.6.0",
"numpydoc>=1.6.0,<1.8.0",
"julearn==0.3.3",
"sphinx-copybutton>=0.5.1,<0.5.3",
"towncrier>=22.12.0,<23.7",
"towncrier>=23.10.0,<23.12.0",
"sphinxcontrib-mermaid>=0.8.1,<0.10",
]