Remove pandas shim and use result_type

python/cudf/cudf/utils/dtypes.py

@@ -507,34 +507,6 @@ def get_allowed_combinations_for_operator(dtype_l, dtype_r, op):
     raise error
 
 
-def np_find_common_type(*dtypes: np.dtype) -> np.dtype:
-    """
-    np.find_common_type implementation pre-1.25 deprecation using np.result_type
-    https://github.com/pandas-dev/pandas/pull/49569#issuecomment-1308300065
-
-    Parameters
-    ----------
-    dtypes : np.dtypes
-
-    Returns
-    -------
-    np.dtype
-    """
-    # TODO: possibly raise the TypeError. Coercing to np.dtype("O") (string)
-    # might not make sense in cudf
-    try:
-        common_dtype = np.result_type(*dtypes)
-        if common_dtype.kind in "mMSU":
-            # NumPy promotion currently (1.25) misbehaves for for times and strings,
-            # so fall back to object (find_common_dtype did unless there
-            # was only one dtype)
-            common_dtype = np.dtype("O")
-
-    except TypeError:
-        common_dtype = np.dtype("O")
-    return common_dtype
-
-
 def find_common_type(dtypes):
     """
     Wrapper over np.find_common_type to handle special cases
@@ -642,7 +614,7 @@ def find_common_type(dtypes):
         dtypes = dtypes - td_dtypes
         dtypes.add(np.result_type(*td_dtypes))
 
-    common_dtype = np_find_common_type(*dtypes)
+    common_dtype = np.result_type(*dtypes)
     if common_dtype == np.dtype("float16"):
         return cudf.dtype("float32")
     return cudf.dtype(common_dtype)