code: def result_type(
      *arrays_and_dtypes: Union[np.ndarray, np.dtype]
  ) -> ivy.Dtype:
      if len(arrays_and_dtypes) <= 1:
          return np.result_type(arrays_and_dtypes)
      result = np.result_type(
          arrays_and_dtypes[0], arrays_and_dtypes[1]
      )
      for i in range(2, len(arrays_and_dtypes)):
          result = np.result_type(result, arrays_and_dtypes[i])
      return as_ivy_dtype(result)
  
imports: from typing import Optional, Union, Sequence, List
  import numpy
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.ivy.data_type import _handle_nestable_dtype_info
  from .None import backend_version
label_desc: Use image node_id 6 for calling a global function with example usage: result_type() and returns: as_ivy_dtype, np