MNT: Update pre-commit hooks

Author: DimitriPapadopoulos

.pre-commit-config.yaml

@@ -1,7 +1,7 @@
 exclude: ".*/data/.*"
 repos:
 - repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v4.4.0
+  rev: v6.0.0
   hooks:
   - id: trailing-whitespace
     exclude: '.*\.svg'
@@ -12,7 +12,7 @@ repos:
   - id: check-toml
   - id: check-added-large-files
 - repo: https://github.com/astral-sh/ruff-pre-commit
-  rev: v0.6.5
+  rev: v0.13.2
   hooks:
   - id: ruff-check
     args: [--fix]

LICENSE

@@ -198,4 +198,4 @@
    distributed under the License is distributed on an "AS IS" BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
-   limitations under the License.
+   limitations under the License.

docker/files/nipype.cfg

@@ -4,4 +4,4 @@ poll_sleep_duration = 0.01
 remove_unnecessary_outputs = true
 crashfile_format = txt
 profile_runtime = false
-use_relative_paths = false
+use_relative_paths = false

docs/outputs.md

@@ -704,7 +704,7 @@ A component-based noise correction method (CompCor) for BOLD and perfusion-based
 doi:[10.1016/j.neuroimage.2007.04.042](https://doi.org/10.1016/j.neuroimage.2007.04.042)
 
 [^Ciric2017]: Ciric R, Wolf DH, Power JD, Roalf DR, Baum GL, Ruparel K, Shinohara RT, Elliott MA, Eickhoff SB, Davatzikos C., Gur RC, Gur RE, Bassett DS, Satterthwaite TD.
-Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. 
+Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.
 Neuroimage. 2017.
 doi:[10.1016/j.neuroimage.2017.03.020](https://doi.org/10.1016/j.neuroimage.2017.03.020)