drop the length from numpy's fixed-width string dtypes

xarray/core/dtypes.py

@@ -215,9 +215,14 @@ def isdtype(dtype, kind: str | tuple[str, ...], xp=None) -> bool:
         return xp.isdtype(dtype, kind)
 
 
-def preprocess_scalar_types(t):
+def preprocess_types(t):
     if isinstance(t, str | bytes):
         return type(t)
+    elif isinstance(
+        dtype := getattr(t, "dtype", t), np.dtypes.StrDType | np.dtypes.BytesDType
+    ):
+        # drop the length from numpy's fixed-width string dtypes, it is better to recalculate that
+        return dtype.type
     else:
         return t
 
@@ -249,7 +254,7 @@ def result_type(
         xp = get_array_namespace(arrays_and_dtypes)
 
     types = {
-        array_api_compat.result_type(preprocess_scalar_types(t), xp=xp)
+        array_api_compat.result_type(preprocess_types(t), xp=xp)
         for t in arrays_and_dtypes
     }
     if any(isinstance(t, np.dtype) for t in types):
@@ -262,5 +267,5 @@ def result_type(
                 return np.dtype(object)
 
     return array_api_compat.result_type(
-        *map(preprocess_scalar_types, arrays_and_dtypes), xp=xp
+        *map(preprocess_types, arrays_and_dtypes), xp=xp
     )

xarray/tests/test_dtypes.py

@@ -28,6 +28,7 @@ class DummyArrayAPINamespace:
         ([np.str_, np.int64], np.object_),
         ([np.str_, np.str_], np.str_),
         ([np.bytes_, np.str_], np.object_),
+        ([np.dtype("<U2"), np.str_], np.dtype("U")),
     ],
 )
 def test_result_type(args, expected) -> None: