class_docstr: Describes a numpy array or scalar shape and dtype.
  
  An `ArraySpec` allows an API to describe the arrays that it accepts or
  returns, before that array exists.
  The equivalent version describing a `tf.Tensor` is `TensorSpec`.
docstr: Returns a numpy dtype specifying the array dtype.
docstr_tok: ["Returns","a","numpy","dtype","specifying","the","array","dtype","."]
code: def dtype(self):
      """Returns a numpy dtype specifying the array dtype."""
      return self._dtype
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numbers
  import gin
  import numpy
  import tensorflow
label_desc: Use image node_id 3 for calling the ArraySpec obj's underlying member method code with example usage: obj.dtype() and returns: self