class_docstr: Definition objects describe a unique definition of a variable.
  
  Subclasses of this may be used by passing an appropriate factory function to
  resolve.
  
  Attributes:
    param_of: Optional[ast.AST]
    directives: Dict, optional definition annotations
class_docstr_tok: ["Definition","objects","describe","a","unique","definition","of","a","variable",".","Subclasses","of","this","may","be","used","by","passing","an","appropriate","factory","function","to","resolve",".","Attributes",":","param_of",":","Optional","[","ast.AST","]","directives",":","Dict",",","optional","definition","annotations"]
code: def __repr__(self):
      return "%s[%d]" % (self.__class__.__name__, id(self))
  
imports: import weakref
  import gast
  from tensorflow.python.autograph.pyct import anno
  from tensorflow.python.autograph.pyct import cfg
  from tensorflow.python.autograph.pyct import transformer
label_desc: Use image node_id 2 for calling the Definition obj's underlying member method code with example usage: obj.__repr__() and returns: unknown