slight formatting and comments

Author: Lasloruhberg

src/array_api_compat/numpy/_aliases.py

@@ -122,6 +122,7 @@ def clip(
         x: Input array.
         min: Minimum bound. If None, no lower bound is applied.
         max: Maximum bound. If None, no upper bound is applied.
+        **kwargs: Additional keyword arguments passed to ``np.clip``.
         out: Optional output array to store the result, has to have dtype of x
     """
     # out is a possible *kwarg for numpy.clip, but not in the array API spec. We handle it here to
@@ -156,24 +157,25 @@ def _bound_shape(a: object) -> tuple[int, ...]:
     # this covers integer arrays for float and integer bounds
     # Also handle cases where the min/max are arrays/lists (replace values below min with iinfo.min and above max with iinfo.max)
     if np.issubdtype(dtype, np.integer):
+        
         if np.issubdtype(type(min), np.integer) and min <= np.iinfo(dtype).min:
             min = None
         elif np.issubdtype(type(min), np.floating) and min < np.iinfo(dtype).min:
             min = np.iinfo(dtype).min
         elif isinstance(min, (list, tuple, Array)):
             min[min < np.iinfo(dtype).min] = np.iinfo(dtype).min
+        
         if np.issubdtype(type(max), np.integer) and max >= np.iinfo(dtype).max:
             max = None
-        
         elif np.issubdtype(type(max), np.floating) and max > np.iinfo(dtype).max:
             max = np.iinfo(dtype).max
-
         elif isinstance(max, (list, tuple, Array)):
             max[max > np.iinfo(dtype).max] = np.iinfo(dtype).max
 
     # In the case of downcasting floats numpy replaces out of bounds with inf 
     # This automatically handles those cases
-
+    
+    # Early return for simple cases
     if min is None and max is None:
         if out is None:
             return x.copy()[()]