code: def result_type(*arrays_and_dtypes):
      """Determine the result promotion dtype using the JNP-like promotion system.
  
      Args:
        *arrays_and_dtypes: A list of Tensors, Variables, NumPy arrays or python
          numbers.
  
      Returns:
        The result promotion type from all the inputs.
      """
      # Make sure to catch NotImplementedError when using this method to account for
      # inputs that are not supported yet.
      return _result_type_impl(*arrays_and_dtypes)
  
file_path: tensorflow/tensorflow/python/framework/flexible_dtypes.py
imports: import numpy
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import weak_tensor
  from tensorflow.python.ops import variables
  from tensorflow.python.util import nest
label_desc: Use image node_id 5 for calling a global function with example usage: result_type() and returns: _result_type_impl