Class Transformer

x.__init__(...) initializes x; see x.__class__.__doc__ for signature

Overrides: object.__init__

(inherited documentation)

Add this transformer unconditionally to fiberspace transformers.

Decorators:

• @EasyExtend.util.psyco_optimized

Get node N with node_id = nid when N is in the parental chain of node. raise ValueError if no such node is found.

Explicit signaling of langlet transform termination. Dispatch to nodes of this transformer is stopped.

Returns True if _if_stmt node has the structure "if __name__ == '__main__': BLOCK" otherwise it returns False.

Parameters:

• _if_stmt - node where node[0] == symbol.if_stmt

Toplevel transformations:

   (A)       if __name__ == '__main__':   =>  def __like_main__():
                                                 BLOCK

                                             if __name__ == '__main__':
                                                __like_main__()

   (B)       import __langlet__  =>  __langlet__ = import_and_init_langlet( <langlet_name> )


   (C)       STMT1
             STMT2 ... =>  if STMT1 == from __future__ import*
                               STMT1; from EasyExtend.exotools import exoload; exospace = exoload(__file__);
                               STMT2 ....
                           else:
                               from EasyExtend.exotools import exoload; exospace = exoload(__file__);
                               STMT1
                               STMT2 ...