Fix various static typing issues.

Author: KelSolaar

colour/examples/contrast/examples_contrast.py

@@ -121,7 +121,7 @@ def maximise_spatial_frequency(L: ArrayLike) -> NDArrayFloat:
     ),
     samples=L,
     log_x=10,
-    **{
+    **{  # pyright: ignore
         "title": "Examples of HVS Minimum Detectable Contrast Characteristics",
         "x_label": "Luminance ($cd/m^2$)",
         "y_label": "Minimum Detectable Contrast",

colour/io/luts/lut.py

@@ -157,12 +157,11 @@ def __init__(
         self.name = optional(name, self._name)
         self._dimensions = optional(dimensions, 0)
         self._table: NDArrayFloat = self.linear_table(
-            cast(ArrayLike, optional(size, 0)),
-            cast(ArrayLike, optional(domain, np.array([]))),
+            optional(size, 0), optional(domain, np.array([]))
         )
-        self.table = cast(ArrayLike, optional(table, self._table))
+        self.table = optional(table, self._table)
         self._domain: NDArrayFloat = np.array([])
-        self.domain = cast(ArrayLike, optional(domain, self._domain))
+        self.domain = optional(domain, self._domain)
         self._comments: list = []
         self.comments = cast(list, optional(comments, self._comments))
 

colour/io/luts/operator.py

@@ -20,7 +20,6 @@
     List,
     NDArrayFloat,
     Sequence,
-    cast,
 )
 from colour.utilities import (
     as_float_array,
@@ -249,9 +248,9 @@ def __init__(
         super().__init__(*args, **kwargs)
 
         self._matrix: NDArrayFloat = np.diag(ones(4))
-        self.matrix = cast(ArrayLike, optional(matrix, self._matrix))
+        self.matrix = optional(matrix, self._matrix)
         self._offset: NDArrayFloat = zeros(4)
-        self.offset = cast(ArrayLike, optional(offset, self._offset))
+        self.offset = optional(offset, self._offset)
 
     @property
     def matrix(self) -> NDArrayFloat:

colour/io/tabular.py

@@ -146,7 +146,7 @@ def read_spectral_data_from_csv_file(
     if transpose:
         os.unlink(transposed_csv_file.name)
 
-    return {name: data[name] for name in data.dtype.names}  # pyright: ignore
+    return {name: data[name] for name in data.dtype.names}
 
 
 def read_sds_from_csv_file(

colour/plotting/blindness.py

@@ -19,7 +19,6 @@
     Dict,
     Literal,
     Tuple,
-    cast,
 )
 from colour.plotting import CONSTANTS_COLOUR_STYLE, plot_image, override_style
 from colour.utilities import optional
@@ -89,9 +88,7 @@ def plot_cvd_simulation_Machado2009(
         :alt: plot_cvd_simulation_Machado2009
     """
 
-    M_a = cast(
-        ArrayLike, optional(M_a, matrix_cvd_Machado2009(deficiency, severity))
-    )
+    M_a = optional(M_a, matrix_cvd_Machado2009(deficiency, severity))
 
     settings: Dict[str, Any] = {
         "text_kwargs": {

colour/plotting/common.py

@@ -1527,7 +1527,7 @@ def plot_multi_functions(
     else:
         plotting_function = axes.plot
 
-    samples = cast(ArrayLike, optional(samples, np.linspace(0, 1, 1000)))
+    samples = optional(samples, np.linspace(0, 1, 1000))
 
     for i, (_name, function) in enumerate(functions.items()):
         plotting_function(

colour/plotting/diagrams.py

@@ -438,11 +438,8 @@ def plot_chromaticity_diagram_colours(
 
     _figure, axes = artist(**settings)
 
-    diagram_colours = cast(
-        ArrayLike,
-        optional(
-            diagram_colours, HEX_to_RGB(CONSTANTS_COLOUR_STYLE.colour.average)
-        ),
+    diagram_colours = optional(
+        diagram_colours, HEX_to_RGB(CONSTANTS_COLOUR_STYLE.colour.average)
     )
 
     cmfs = cast(

colour/plotting/section.py

@@ -33,7 +33,6 @@
     Real,
     Sequence,
     Tuple,
-    Union,
     cast,
 )
 from colour.models import (
@@ -203,11 +202,8 @@ def plot_hull_section_colours(
 
     _figure, axes = artist(**settings)
 
-    section_colours = cast(
-        ArrayLike,
-        optional(
-            section_colours, HEX_to_RGB(CONSTANTS_COLOUR_STYLE.colour.average)
-        ),
+    section_colours = optional(
+        section_colours, HEX_to_RGB(CONSTANTS_COLOUR_STYLE.colour.average)
     )
 
     convert_kwargs = optional(convert_kwargs, {})
@@ -397,9 +393,8 @@ def plot_hull_section_contour(
 
     hull = hull.copy()
 
-    contour_colours = cast(
-        Union[ArrayLike, str],
-        optional(contour_colours, CONSTANTS_COLOUR_STYLE.colour.dark),
+    contour_colours = optional(
+        contour_colours, CONSTANTS_COLOUR_STYLE.colour.dark
     )
 
     settings: Dict[str, Any] = {"uniform": True}