class_docstr: Symbolic `Type` representing a numpy.ndarray value.
  
  Initialize self.dtype and self.broadcastable.
  
  Parameters
  ----------
  dtype: str
      Corresponding to numpy dtype (e.g., 'int64')
      The value (ndarray) associated to a `Variable` of this `Type` will
      have this dtype.
  broadcastable: tuple, list, or array of boolean values
      This argument serves two purposes. First, the True elements of this
      list indicate the dimensions where the shape of an associated value
      must be 1. Secondly, the length of this list is the number of
      dimensions that an associated value must have. See
      doc:`broadcasting` for an explanation of how this list is used.
  name : str
      Optional name for this type.
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code: def __repr__(self):
      return str(self)
  
imports: from __future__ import absolute_import, print_function, division
  import logging
  import warnings
  import numpy
  import theano
  from theano import config
  from theano.gof import hashtype, Type, Variable
  from theano import scalar
label_desc: Use image node_id 16 for calling the TensorType obj's underlying member method code with example usage: obj.__repr__() and returns: str