Fix upcasting with python builtin numbers and numpy 2

xarray/core/duck_array_ops.py

@@ -229,13 +229,15 @@ def as_shared_dtype(scalars_or_arrays, xp=np):
 
         arrays = [asarray(x, xp=cp) for x in scalars_or_arrays]
     else:
-        arrays = [asarray(x, xp=xp) for x in scalars_or_arrays]
+        #arrays = [asarray(x, xp=xp) for x in scalars_or_arrays]
+        arrays = [x if isinstance(x, (int, float, complex)) else asarray(x, xp=xp) for x in scalars_or_arrays]
     # Pass arrays directly instead of dtypes to result_type so scalars
     # get handled properly.
     # Note that result_type() safely gets the dtype from dask arrays without
     # evaluating them.
     out_type = dtypes.result_type(*arrays)
-    return [astype(x, out_type, copy=False) for x in arrays]
+    #return [astype(x, out_type, copy=False) for x in arrays]
+    return [astype(x, out_type, copy=False) if hasattr(x, "dtype") else x for x in arrays]
 
 
 def broadcast_to(array, shape):