code: def result_type(*arrays_and_dtypes):
      dtypes = []
      for val in arrays_and_dtypes:
          if isinstance(val, jax.Array):
              val = val.dtype
          if _is_valid_dtype(val):
              dtypes.append(val)
          else:
              raise ValueError(f"{val} is not a valid dtype")
      if len(dtypes) == 0:
          raise ValueError("result_type requires at least one argument")
      if len(dtypes) == 1:
          return dtypes[0]
      return functools.reduce(_promote_types, dtypes)
  
file_path: jax/jax/experimental/array_api/_data_type_functions.py
imports: import functools
  from typing import NamedTuple
  import jax
  import jax.numpy
  from jax.experimental.array_api._dtypes import bool, int8, int16, int32, int64, uint8, uint16, uint32, uint64, float32, float64, complex64, complex128
label_desc: Use image node_id 9 for calling a global function with example usage: result_type() and returns: functools, dtypes