[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
@@ -15,23 +15,23 @@ 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: "7.0.0"
     hooks:
       - id: isort
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: "v0.8.2"
+    rev: "v0.14.0"
     hooks:
       - id: ruff-format
       - id: ruff
         args: [--fix]
   - repo: https://github.com/adamchainz/blacken-docs
-    rev: 1.19.1
+    rev: 1.20.0
     hooks:
       - id: blacken-docs
         language_version: python3.10

colour_hdri/__init__.py

@@ -335,7 +335,7 @@ def __getattr__(self, attribute: str) -> Any:
 
 try:
     _version: str = (
-        subprocess.check_output(  # noqa: S603
+        subprocess.check_output(
             ["git", "describe"],  # noqa: S607
             cwd=os.path.dirname(__file__),
             stderr=subprocess.STDOUT,

colour_hdri/distortion/vignette.py

@@ -148,7 +148,7 @@ def apply_radial_gradient(
     scale_x, scale_y = tsplit(scale)
     offset_x, offset_y = tsplit(offset)
 
-    height, width = cast(Tuple, image.shape)[0:2]
+    height, width = cast("Tuple", image.shape)[0:2]
     ratio = height / width
 
     samples_x = np.linspace(-1, 1, height)
@@ -159,7 +159,7 @@ def apply_radial_gradient(
     samples_y += offset_y - 0.5
 
     distance = cast(
-        NDArrayFloat,
+        "NDArrayFloat",
         np.sqrt((samples_x**2)[..., None] + (samples_y**2)[None, ...]),
     )
 
@@ -797,7 +797,7 @@ def vignette_sampling_coordinates(
     radial_samples = radial_sampling_function(
         samples_rho,
         samples_phi,
-        cast(float, 1 + (np.max(principal_point - 0.5) * 2)),
+        cast("float", 1 + (np.max(principal_point - 0.5) * 2)),
         radial_bias,
     )
     # NOTE: Some randomisation is required to avoid a

colour_hdri/network/graphs.py

@@ -76,8 +76,7 @@ def __init__(self, *args: Any, **kwargs: Any) -> None:
         super().__init__(*args, **kwargs)
 
         self.description = (
-            'Process given raw file, e.g., "CR2", "CR3", "NEF", using the'
-            '"DNG" method'
+            'Process given raw file, e.g., "CR2", "CR3", "NEF", using the"DNG" method'
         )
 
         self.add_input_port("index")

colour_hdri/network/nodes.py

@@ -572,7 +572,7 @@ def process(self, **kwargs: Any) -> None:  # noqa: ARG002
         if self.get_input("include_exposure_information"):
             text += (
                 " - "
-                f"{exif_group['Exposure Time']:.6f}\" "
+                f'{exif_group["Exposure Time"]:.6f}" '
                 f"f{exif_group['F Number']} "
                 f"{exif_group['ISO']}"
             )
@@ -752,8 +752,7 @@ def __init__(self, *args: Any, **kwargs: Any) -> None:
         super().__init__(*args, **kwargs)
 
         self.description = (
-            "Compute the input transform from the input metadata using the "
-            '"DNG" method'
+            'Compute the input transform from the input metadata using the "DNG" method'
         )
 
         self.add_input_port("metadata")
@@ -1150,8 +1149,7 @@ def process(self, **kwargs: Any) -> None:  # noqa: ARG002
                 self.log("Lens vignette was successfully corrected!")
             else:
                 self.log(
-                    "Lens vignette was not corrected, "
-                    "the lens might be missing data."
+                    "Lens vignette was not corrected, the lens might be missing data."
                 )
 
         if self.get_input("correct_chromatic_aberration"):
@@ -1198,8 +1196,7 @@ def process(self, **kwargs: Any) -> None:  # noqa: ARG002
                 self.log("Lens distortion was successfully corrected!")
             else:
                 self.log(
-                    "Lens distortion was not corrected, "
-                    "the lens might be missing data."
+                    "Lens distortion was not corrected, the lens might be missing data."
                 )
 
         self.set_output("output_image", output_image)

colour_hdri/sampling/variance_minimization.py

@@ -248,7 +248,7 @@ def light_probe_sampling_variance_minimization_Viriyothai2009(
     iterations = np.sqrt(lights_count).astype(np.int_)
     if iterations**2 != lights_count:
         warning(
-            f"{lights_count} lights requested, {iterations ** 2} will be "
+            f"{lights_count} lights requested, {iterations**2} will be "
             f"effectively computed!"
         )
 

colour_hdri/tonemapping/global_operators/operators.py

@@ -855,4 +855,4 @@ def f(
 
     RGB = f(RGB * exposure_bias, A, B, C, D, E, F)
 
-    return cast(NDArrayFloat, RGB * (1 / f(linear_whitepoint, A, B, C, D, E, F)))
+    return cast("NDArrayFloat", RGB * (1 / f(linear_whitepoint, A, B, C, D, E, F)))

colour_hdri/utilities/image.py

@@ -263,7 +263,7 @@ def read_data(self, cctf_decoding: Callable | None = None) -> NDArrayFloat:
 
             self.data = data
 
-            return cast(NDArrayFloat, data)
+            return cast("NDArrayFloat", data)
 
         exception = 'The image "path" is undefined!'
 
@@ -309,8 +309,7 @@ def read_metadata(self) -> Metadata:
 
         if not exif_data.get("EXIF"):
             warning(
-                f'"{self._path}" file has no "Exif" data, metadata will '
-                f"be undefined!"
+                f'"{self._path}" file has no "Exif" data, metadata will be undefined!'
             )
             self.metadata = Metadata(*[None] * 6)
             return self.metadata
@@ -369,7 +368,7 @@ def read_metadata(self) -> Metadata:
 def _luminance_average_key(image: Image) -> NDArrayFloat | None:
     """Comparison key function."""
 
-    metadata = cast(Metadata, image.metadata)
+    metadata = cast("Metadata", image.metadata)
 
     f_number = metadata.f_number
     exposure_time = metadata.exposure_time

colour_hdri/utilities/tests/test_exif.py

@@ -120,11 +120,7 @@ def test_parse_exif_array(self) -> None:
         exif_tag = EXIFTag(
             "EXIF",
             "Color Matrix 1",
-            (
-                "0.5309 -0.0229 -0.0336 "
-                "-0.6241 1.3265 0.3337 "
-                "-0.0817 0.1215 0.6664"
-            ),
+            ("0.5309 -0.0229 -0.0336 -0.6241 1.3265 0.3337 -0.0817 0.1215 0.6664"),
             "50721",
         )
         np.testing.assert_array_equal(

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] = []