[pre-commit.ci] pre-commit autoupdate (#417)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Tim Treis <tim.treis@stud.uni-heidelberg.de>

Author: pre-commit-ci[bot]

.github/workflows/test.yaml

@@ -59,7 +59,7 @@ jobs:
           pytest -v --cov --color=yes --cov-report=xml
       - name: Archive figures generated during testing
         if: always()
-        uses: actions/upload-artifact@v3
+        uses: actions/upload-artifact@v4
         with:
           name: visual_test_results_${{ matrix.os }}-python${{ matrix.python }}
           path: /home/runner/work/spatialdata-plot/spatialdata-plot/tests/figures/*

.pre-commit-config.yaml

@@ -9,7 +9,7 @@ ci:
   skip: []
 repos:
   - repo: https://github.com/psf/black
-    rev: 24.10.0
+    rev: 25.1.0
     hooks:
       - id: black
   - repo: https://github.com/pre-commit/mirrors-prettier
@@ -21,13 +21,13 @@ repos:
     hooks:
       - id: blacken-docs
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.14.1
+    rev: v1.15.0
     hooks:
       - id: mypy
         additional_dependencies: [numpy, types-requests]
         exclude: tests/|docs/
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.9.3
+    rev: v0.9.9
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix]

README.md

@@ -66,8 +66,7 @@ Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and univers
 [link-api]: https://spatialdata.scverse.org/projects/plot/en/latest/api.html
 [link-design-doc]: https://spatialdata.scverse.org/en/latest/design_doc.html
 [link-notebooks]: https://spatialdata.scverse.org/en/latest/tutorials/notebooks/notebooks.html
-
-[//]: # (numfocus-fiscal-sponsor-attribution)
+[//]: # "numfocus-fiscal-sponsor-attribution"
 
 spatialdata-plot is part of the scverse® project ([website](https://scverse.org), [governance](https://scverse.org/about/roles)) and is fiscally sponsored by [NumFOCUS](https://numfocus.org/).
 If you like scverse® and want to support our mission, please consider making a tax-deductible [donation](https://numfocus.org/donate-to-scverse) to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.

src/spatialdata_plot/pl/utils.py

@@ -2201,7 +2201,7 @@ def _datashader_aggregate_with_function(
 
 
 def _datshader_get_how_kw_for_spread(
-    reduction: Literal["sum", "mean", "any", "count", "std", "var", "max", "min"] | None
+    reduction: Literal["sum", "mean", "any", "count", "std", "var", "max", "min"] | None,
 ) -> str:
     # Get the best input for the how argument of ds.tf.spread(), needed for numerical values
     reduction = reduction or "sum"