Remove unnecessary comprehension

monai/transforms/croppad/array.py

@@ -402,7 +402,7 @@ def randomize(self, img_size: Sequence[int]) -> None:
         self._size = fall_back_tuple(self.roi_size, img_size)
         if self.random_size:
             max_size = img_size if self.max_roi_size is None else fall_back_tuple(self.max_roi_size, img_size)
-            if any([i > j for i, j in zip(self._size, max_size)]):
+            if any(i > j for i, j in zip(self._size, max_size)):
                 raise ValueError(f"min ROI size: {self._size} is bigger than max ROI size: {max_size}.")
             self._size = tuple((self.R.randint(low=self._size[i], high=max_size[i] + 1) for i in range(len(img_size))))
         if self.random_center:

monai/transforms/croppad/dictionary.py

@@ -539,7 +539,7 @@ def randomize(self, img_size: Sequence[int]) -> None:
         self._size = fall_back_tuple(self.roi_size, img_size)
         if self.random_size:
             max_size = img_size if self.max_roi_size is None else fall_back_tuple(self.max_roi_size, img_size)
-            if any([i > j for i, j in zip(self._size, max_size)]):
+            if any(i > j for i, j in zip(self._size, max_size)):
                 raise ValueError(f"min ROI size: {self._size} is bigger than max ROI size: {max_size}.")
             self._size = [self.R.randint(low=self._size[i], high=max_size[i] + 1) for i in range(len(img_size))]
         if self.random_center:

monai/transforms/utils.py

@@ -490,7 +490,7 @@ def generate_label_classes_crop_centers(
     ratios_: List[Union[float, int]] = ([1] * len(indices)) if ratios is None else ratios
     if len(ratios_) != len(indices):
         raise ValueError("random crop radios must match the number of indices of classes.")
-    if any([i < 0 for i in ratios_]):
+    if any(i < 0 for i in ratios_):
         raise ValueError("ratios should not contain negative number.")
 
     # ensure indices are numpy array