mpy supression for caught error

Author: tigerhawkvok

pandas/core/missing.py

@@ -124,22 +124,23 @@ def mask_missing(arr: ArrayLike, values_to_mask) -> npt.NDArray[np.bool_]:
                     new_mask = np.zeros(arr.shape, dtype=np.bool_)
                     new_mask[arr_mask] = arr[arr_mask] == x
                 else:
-                    # GH#47101 
-                    # Fix where type bool has no attribute to_numpy() by first 
-                    # attempting to broadcast with np.equal for some cases, and then 
-                    # an explicit type check when checking the mask for any straggling 
+                    # GH#47101
+                    # Fix where type bool has no attribute to_numpy() by first
+                    # attempting to broadcast with np.equal for some cases, and then
+                    # an explicit type check when checking the mask for any straggling
                     # cases. Where a literal comparison would fail np.equal we fall back
                     # to the original equality check.
                     try:
-                        new_mask = np.equal(arr, x)
+                        # In case of an uncastable type, this will emit TypeError
+                        new_mask = np.equal(arr, x) # type: ignore[arg-type]
                     except TypeError:
                         # Old behaviour for uncastable types
                         new_mask = arr == x
 
                     if not isinstance(new_mask, np.ndarray):
                         # usually BooleanArray
                         if isinstance(new_mask, bool):
-                            new_mask = np.array([new_mask], dtype= bool) 
+                            new_mask = np.array([new_mask], dtype= bool)
                         else: 
                             new_mask = new_mask.to_numpy(dtype=bool, na_value=False)
                 mask |= new_mask