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`.
code: def __repr__(self):
      return "ArraySpec(shape={}, dtype={}, name={})".format(
          self.shape, repr(self.dtype), repr(self.name)
      )
  
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 5 for calling the ArraySpec obj's underlying member method code with example usage: obj.__repr__() and returns: str