parameters: (cls, x=None, y=None, ildj_map=None, kwargs=None)
return_statement: return super(_Mapping, cls).__new__(cls, x, y, ildj_map, kwargs)
docstring: Custom __new__ so namedtuple items have defaults.
  
      Args:
        x: `Tensor`. Forward.
        y: `Tensor`. Inverse.
        ildj_map: `Dictionary`. This is a mapping from event_ndims to a `Tensor`
          representing the inverse log det jacobian.
        kwargs: Python dictionary. Extra args supplied to
          forward/inverse/etc functions.
  
      Returns:
        mapping: New instance of _Mapping.
docstring_summary: Custom __new__ so namedtuple items have defaults.
docstring_tokens: Custom __new__ so namedtuple items have defaults .
function: def __new__(cls, x=None, y=None, ildj_map=None, kwargs=None):
      """Custom __new__ so namedtuple items have defaults.
  
      Args:
        x: `Tensor`. Forward.
        y: `Tensor`. Inverse.
        ildj_map: `Dictionary`. This is a mapping from event_ndims to a `Tensor`
          representing the inverse log det jacobian.
        kwargs: Python dictionary. Extra args supplied to
          forward/inverse/etc functions.
  
      Returns:
        mapping: New instance of _Mapping.
      """
      return super(_Mapping, cls).__new__(cls, x, y, ildj_map, kwargs)
function_tokens: def __new__ ( cls , x = None , y = None , ildj_map = None , kwargs = None ) : return super ( _Mapping , cls ) . __new__ ( cls , x , y , ildj_map , kwargs )