BUG: torch: fix result_type with python scalars

Author: ev-br

Diff for: array_api_compat/torch/_aliases.py

@@ -135,8 +135,12 @@ def result_type(*arrays_and_dtypes: Union[array, Dtype, bool, int, float, comple
         return result_type(arrays_and_dtypes[0], result_type(*arrays_and_dtypes[1:]))
 
     x, y = arrays_and_dtypes
-    if isinstance(x, _py_scalars) or isinstance(y, _py_scalars):
-        return torch.result_type(x, y)
+    if isinstance(x, _py_scalars):
+        if isinstance(y, _py_scalars):
+            raise ValueError("At least one array or dtype is required.")
+        return y
+    elif isinstance(y, _py_scalars):
+        return x
 
     xdt = x.dtype if not isinstance(x, torch.dtype) else x
     ydt = y.dtype if not isinstance(y, torch.dtype) else y