Merge tag '25.1.2'

25.1.2 (August 28, 2025)

A patch release in the 25.1.x series.

Fixes compatibility with Python 3.12 when running MCRIBS.

- Bug Fixes
  * FIX: MCRIBS compatibility (#483)

- Internals / Maintenance
  * MAINT: Fix outputs check (#479)

Author: mgxd

CHANGES.md

@@ -1,3 +1,15 @@
+25.1.2 (August 28, 2025)
+========================
+A patch release in the 25.1.x series.
+
+Fixes compatibility with Python 3.12 when running MCRIBS.
+
+### Bug Fixes
+  * FIX: MCRIBS compatibility (#483)
+
+### Internals / Maintenance
+  * MAINT: Fix outputs check (#479)
+
 25.1.1 (July 2, 2025)
 =====================
 A patch release in the 25.1.x series.

requirements.txt

@@ -1,13 +1,9 @@
-#
-# This file is autogenerated by pip-compile with Python 3.13
-# by the following command:
-#
-#    pip-compile --extra=container --output-file=requirements.txt --strip-extras pyproject.toml
-#
+# This file was autogenerated by uv via the following command:
+#    uv pip compile --extra=container --strip-extras pyproject.toml -o requirements.txt -p 3.12 --python-platform linux
 acres==0.5.0
     # via
-    #   bidsschematools
     #   nibabies (pyproject.toml)
+    #   bidsschematools
     #   nipype
     #   nireports
     #   niworkflows
@@ -36,6 +32,8 @@ botocore==1.38.36
     #   s3transfer
 certifi==2025.6.15
     # via requests
+cffi==1.17.1
+    # via cryptography
 chardet==5.2.0
     # via datalad
 charset-normalizer==3.4.2
@@ -53,13 +51,15 @@ contourpy==1.3.2
     # via
     #   bokeh
     #   matplotlib
+cryptography==45.0.6
+    # via secretstorage
 cycler==0.12.1
     # via matplotlib
 datalad==1.2.0
     # via
+    #   nibabies (pyproject.toml)
     #   datalad-next
     #   datalad-osf
-    #   nibabies (pyproject.toml)
 datalad-next==1.5.0
     # via datalad-osf
 datalad-osf==0.3.0
@@ -82,6 +82,8 @@ frozendict==2.4.6
     # via pybids
 fsspec==2025.5.1
     # via universal-pathlib
+greenlet==3.2.4
+    # via sqlalchemy
 h5py==3.14.0
     # via nitransforms
 humanize==4.12.3
@@ -108,6 +110,10 @@ jaraco-context==6.0.1
     #   keyrings-alt
 jaraco-functools==4.1.0
     # via keyring
+jeepney==0.9.0
+    # via
+    #   keyring
+    #   secretstorage
 jinja2==3.1.6
     # via
     #   bokeh
@@ -174,8 +180,8 @@ networkx==3.5
     #   scikit-image
 nibabel==5.3.2
     # via
-    #   mapca
     #   nibabies (pyproject.toml)
+    #   mapca
     #   nilearn
     #   nipype
     #   nireports
@@ -218,6 +224,7 @@ num2words==0.5.14
     # via pybids
 numpy==2.2.4
     # via
+    #   nibabies (pyproject.toml)
     #   bokeh
     #   contourpy
     #   formulaic
@@ -226,7 +233,6 @@ numpy==2.2.4
     #   mapca
     #   matplotlib
     #   nibabel
-    #   nibabies (pyproject.toml)
     #   nilearn
     #   nipype
     #   nireports
@@ -249,13 +255,13 @@ osfclient==0.0.5
     # via datalad-osf
 packaging==25.0
     # via
+    #   nibabies (pyproject.toml)
     #   bokeh
     #   datalad
     #   etelemetry
     #   lazy-loader
     #   matplotlib
     #   nibabel
-    #   nibabies (pyproject.toml)
     #   nilearn
     #   nipype
     #   niworkflows
@@ -264,9 +270,9 @@ packaging==25.0
     #   smriprep
 pandas==2.2.3
     # via
+    #   nibabies (pyproject.toml)
     #   bokeh
     #   formulaic
-    #   nibabies (pyproject.toml)
     #   nilearn
     #   nireports
     #   niworkflows
@@ -306,6 +312,8 @@ pybtex==0.24.0
     # via tedana
 pybtex-apa-style==1.3
     # via tedana
+pycparser==2.22
+    # via cffi
 pydot==4.0.0
     # via
     #   nipype
@@ -338,9 +346,9 @@ rdflib==7.1.4
     # via nipype
 requests==2.32.4
     # via
+    #   nibabies (pyproject.toml)
     #   datalad
     #   etelemetry
-    #   nibabies (pyproject.toml)
     #   nilearn
     #   osfclient
     #   pooch
@@ -385,8 +393,8 @@ seaborn==0.13.2
     #   nireports
     #   niworkflows
     #   tedana
-simpleitk==2.5.2
-    # via nibabies (pyproject.toml)
+secretstorage==3.3.3
+    # via keyring
 simplejson==3.20.1
     # via nipype
 six==1.17.0
@@ -435,6 +443,7 @@ transforms3d==0.4.2
 typing-extensions==4.14.0
     # via
     #   formulaic
+    #   nibabel
     #   sqlalchemy
 tzdata==2025.2
     # via pandas