[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: "v5.0.0"
+    rev: "v6.0.0"
     hooks:
       - id: check-added-large-files
       - id: check-case-conflict
@@ -15,17 +15,17 @@ repos:
       - id: requirements-txt-fixer
       - id: trailing-whitespace
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.3.0
+    rev: v2.4.1
     hooks:
       - id: codespell
         args: ["--ignore-words-list=socio-economic"]
         exclude: "BIBLIOGRAPHY.bib|CONTRIBUTORS.rst|.*.ipynb"
   - repo: https://github.com/PyCQA/isort
-    rev: "5.13.2"
+    rev: "6.0.1"
     hooks:
       - id: isort
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: "v0.8.2"
+    rev: "v0.12.11"
     hooks:
       - id: ruff-format
       - id: ruff

colour_checker_detection/__init__.py

@@ -71,7 +71,7 @@
 
 try:
     _version = (
-        subprocess.check_output(  # noqa: S603
+        subprocess.check_output(
             ["git", "describe"],  # noqa: S607
             cwd=os.path.dirname(__file__),
             stderr=subprocess.STDOUT,

colour_checker_detection/detection/common.py

@@ -552,7 +552,7 @@ def transform_image(
     transform += as_float32_array([[0, 0, t_x], [0, 0, t_y]])
 
     return cast(
-        NDArrayReal,
+        "NDArrayReal",
         cv2.warpAffine(
             image,
             transform,
@@ -650,14 +650,14 @@ def detect_contours(
         iterations=settings.convolution_iterations,
     )
 
-    image_k = cast(NDArrayReal, image_k)
+    image_k = cast("NDArrayReal", image_k)
 
     # Detecting contours.
     contours, _hierarchy = cv2.findContours(
         image_k, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE
     )
 
-    contours = cast(Tuple[NDArrayInt], contours)
+    contours = cast("Tuple[NDArrayInt]", contours)
 
     if additional_data:
         return contours, image_k
@@ -827,7 +827,7 @@ def approximate_contour(
             contour, center * cv2.arcLength(contour, True), True
         )
 
-        approximation = cast(NDArrayInt, approximation)
+        approximation = cast("NDArrayInt", approximation)
 
         if len(approximation) > points:
             low = (low + high) / 2
@@ -1155,7 +1155,7 @@ def sample_colour_checker(
                 colour_checker = colour_checker_candidate
                 quadrilateral = candidate_quadrilateral
 
-    colour_checker = cast(NDArrayFloat, colour_checker)
+    colour_checker = cast("NDArrayFloat", colour_checker)
 
     return DataDetectionColourChecker(
         sampled_colours, masks, colour_checker, quadrilateral

colour_checker_detection/detection/inference.py

@@ -422,7 +422,7 @@ def detect_colour_checkers_inference(
     if apply_cctf_decoding:
         image = cctf_decoding(image)
 
-    image = cast(NDArrayReal, image)
+    image = cast("NDArrayReal", image)
 
     rectangle = as_int32_array(
         [

colour_checker_detection/detection/segmentation.py

@@ -628,7 +628,7 @@ def detect_colour_checkers_segmentation(
     if apply_cctf_decoding:
         image = cctf_decoding(image)
 
-    image = cast(NDArrayReal, image)
+    image = cast("NDArrayReal", image)
 
     image = reformat_image(image, settings.working_width, settings.interpolation_method)
 

utilities/export_todo.py

@@ -81,7 +81,7 @@ def extract_todo_items(root_directory: str) -> dict:
 
                 if in_todo and line.startswith("#"):
                     todo_item.append(line.replace("#", "").strip())
-                elif len(todo_item):
+                elif todo_item:
                     key = filename.replace("../", "")
                     if not todo_items.get(key):
                         todo_items[key] = []