proper placement of the result_type comment

pydata · Jun 7, 2024 · c28233c · c28233c
1 parent 4e86aa2
commit c28233c
Showing 1 changed file with 2 additions and 3 deletions.
diff --git a/xarray/core/duck_array_ops.py b/xarray/core/duck_array_ops.py
@@ -273,13 +273,12 @@ def as_shared_dtype(scalars_or_arrays, xp=np):
 
         xp = cp
 
-    # split into weakly and strongly dtyped
-    dtype = dtypes.result_type(*scalars_or_arrays, xp=xp)
-
     # 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.
+    dtype = dtypes.result_type(*scalars_or_arrays, xp=xp)
+
     return tuple(asarray(x, dtype=dtype, xp=xp) for x in scalars_or_arrays)