ty: fix invalid parameter defaults

Author: kadubhumika

computer_vision/haralick_descriptors.py

@@ -5,6 +5,7 @@
 
 import imageio.v2 as imageio
 import numpy as np
+import numpy.typing as npt
 
 
 def root_mean_square_error(original: np.ndarray, reference: np.ndarray) -> float:
@@ -23,7 +24,7 @@ def root_mean_square_error(original: np.ndarray, reference: np.ndarray) -> float
 
 
 def normalize_image(
-    image: np.ndarray, cap: float = 255.0, data_type: np.dtype = np.uint8
+    image: np.ndarray, cap: float = 255.0, data_type: npt.DTypeLike = np.uint8
 ) -> np.ndarray:
     """
     Normalizes image in Numpy 2D array format, between ranges 0-cap,

machine_learning/loss_functions.py

@@ -151,7 +151,7 @@ def categorical_cross_entropy(
 def categorical_focal_cross_entropy(
     y_true: np.ndarray,
     y_pred: np.ndarray,
-    alpha: np.ndarray = None,
+    alpha: np.ndarray | None = None,
     gamma: float = 2.0,
     epsilon: float = 1e-15,
 ) -> float:

pyproject.toml

@@ -192,7 +192,7 @@ rules.call-non-callable = "ignore"
 rules.deprecated = "ignore"
 rules.invalid-argument-type = "ignore"
 rules.invalid-assignment = "ignore"
-rules.invalid-parameter-default = "ignore"
+#rules.invalid-parameter-default = "ignore"
 rules.invalid-return-type = "ignore"
 rules.invalid-type-arguments = "ignore"
 rules.invalid-type-form = "ignore"