Address review comments.

Author: rchen152

ignite/engine/events.py

@@ -91,8 +91,7 @@ def __call__(
             raise ValueError("Argument every should be integer and greater than zero")
 
         if once is not None:
-            # pyrefly: ignore [unsupported-operation]
-            c1 = isinstance(once, numbers.Integral) and once > 0
+            c1 = isinstance(once, int) and once > 0
             c2 = isinstance(once, Sequence) and len(once) > 0 and all(isinstance(e, int) and e > 0 for e in once)
             if not (c1 or c2):
                 raise ValueError(

ignite/metrics/ssim.py

@@ -161,16 +161,19 @@ def _gaussian_or_uniform_kernel(
             kernel_y = self._gaussian(kernel_size[1], sigma[1])
             if ndims == 3:
                 kernel_z = self._gaussian(kernel_size[2], sigma[2])
+            else:
+                kernel_z = None
         else:
             kernel_x = self._uniform(kernel_size[0])
             kernel_y = self._uniform(kernel_size[1])
             if ndims == 3:
                 kernel_z = self._uniform(kernel_size[2])
+            else:
+                kernel_z = None
 
         result = (
             torch.einsum("i,j->ij", kernel_x, kernel_y)
             if ndims == 2
-            # pyrefly: ignore [unbound-name]
             else torch.einsum("i,j,k->ijk", kernel_x, kernel_y, kernel_z)
         )
         return result

ignite/metrics/vision/object_detection_average_precision_recall.py

@@ -160,7 +160,9 @@ def _match_area_range(self, bboxes: torch.Tensor) -> torch.Tensor:
         elif self._area_range == "large":
             min_area = 9216
             max_area = 1e10
-        # pyrefly: ignore [unbound-name]
+        else:
+            min_area = 0
+            max_area = 1e10
         return torch.logical_and(areas >= min_area, areas <= max_area)
 
     def _check_matching_input(