[pre-commit.ci] pre-commit autoupdate (#835)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.5.1 → v0.5.2](astral-sh/ruff-pre-commit@v0.5.1...v0.5.2)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* 📌 Pin `ruff` versions

Signed-off-by: Shan E Ahmed Raza <[email protected]>

---------

Signed-off-by: Shan E Ahmed Raza <[email protected]>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Shan E Ahmed Raza <[email protected]>

Author: pre-commit-ci[bot]

.github/workflows/python-package.yml

@@ -30,7 +30,7 @@ jobs:
         sudo apt update
         sudo apt-get install -y libopenslide-dev openslide-tools libopenjp2-7 libopenjp2-tools
         python -m pip install --upgrade pip
-        python -m pip install ruff==0.5.1 pytest pytest-cov pytest-runner
+        python -m pip install ruff==0.5.2 pytest pytest-cov pytest-runner
         pip install -r requirements/requirements.txt
     - name: Cache tiatoolbox static assets
       uses: actions/cache@v3

.pre-commit-config.yaml

@@ -60,7 +60,7 @@ repos:
       - id: rst-inline-touching-normal # Detect mistake of inline code touching normal text in rst.
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: v0.5.1
+    rev: v0.5.2
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix]

requirements/requirements_dev.txt

@@ -11,7 +11,7 @@ pytest>=7.2.0
 pytest-cov>=4.0.0
 pytest-runner>=6.0
 pytest-xdist[psutil]
-ruff==0.5.1  # This will be updated by pre-commit bot to latest version
+ruff==0.5.2  # This will be updated by pre-commit bot to latest version
 toml>=0.10.2
 twine>=4.0.1
 wheel>=0.37.1

tiatoolbox/utils/metrics.py

@@ -103,5 +103,5 @@ def dice(gt_mask: np.ndarray, pred_mask: np.ndarray) -> float:
     pred_mask = pred_mask.astype(np.bool_)
     sum_masks = gt_mask.sum() + pred_mask.sum()
     if sum_masks == 0:
-        return np.NAN
+        return np.nan
     return 2 * np.logical_and(gt_mask, pred_mask).sum() / sum_masks