code: def result_type(*arrays_and_dtypes):
      if len(arrays_and_dtypes) == 0:
          raise ivy.utils.exceptions.IvyException(
              "At least one array or dtype must be provided"
          )
      if len(arrays_and_dtypes) == 1:
          if isinstance(arrays_and_dtypes[0], np_frontend.dtype):
              return arrays_and_dtypes[0]
          else:
              return np_frontend.dtype(arrays_and_dtypes[0].dtype)
      else:
          res = (
              arrays_and_dtypes[0]
              if not ivy.is_array(arrays_and_dtypes[0])
              else np_frontend.dtype(arrays_and_dtypes[0].dtype)
          )
          for elem in arrays_and_dtypes:
              if ivy.is_array(elem):
                  elem = np_frontend.dtype(elem.dtype)
              res = promote_types(res, elem)
          return res
  
imports: import ivy
  from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back
  import ivy.functional.frontends.numpy
label_desc: Use image node_id 4 for calling a global function with example usage: result_type() and returns: res, arrays_and_dtypes, np_frontend