BUG: fix duplicate searchsorted on NumpyExtensionArray

Remove the duplicate searchsorted definition that called super()
(which goes through _validate_setitem_value, too strict for searchsorted).
Add validate_searchsorted_value to the existing method that correctly
bypasses _validate_setitem_value by delegating to numpy directly.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: jbrockmendel

pandas/core/arrays/numpy_.py

@@ -200,6 +200,7 @@ def searchsorted(
         # Parent's searchsorted calls _validate_setitem_value, which is
         # too strict for search (e.g. rejects float into int). Delegate
         # directly to numpy which handles cross-dtype searches correctly.
+        validate_searchsorted_value(self._ndarray.dtype, value)
         return self._ndarray.searchsorted(value, side=side, sorter=sorter)  # type: ignore[arg-type]
 
     def _cast_pointwise_result(self, values) -> ArrayLike:
@@ -336,15 +337,6 @@ def _validate_scalar(self, fill_value):
             fill_value = self.dtype.na_value
         return fill_value
 
-    def searchsorted(
-        self,
-        value: NumpyValueArrayLike | ExtensionArray,
-        side: Literal["left", "right"] = "left",
-        sorter: NumpySorter | None = None,
-    ) -> npt.NDArray[np.intp] | np.intp:
-        validate_searchsorted_value(self._ndarray.dtype, value)
-        return super().searchsorted(value, side=side, sorter=sorter)
-
     def _values_for_factorize(self) -> tuple[np.ndarray, float | None]:
         if self.dtype.kind in "iub":
             fv = None