class_docstr: Wrapper for an input transformer implemented as a coroutine.
class_docstr_tok: ["Wrapper","for","an","input","transformer","implemented","as","a","coroutine","."]
code: def __init__(self, coro, **kwargs):
      # Prime it
      self.coro = coro(**kwargs)
      next(self.coro)
  
imports: import abc
  import functools
  import re
  from IPython.core.splitinput import LineInfo
  from IPython.utils import tokenize2
  from IPython.utils.openpy import cookie_comment_re
  from IPython.utils.py3compat import with_metaclass, PY3
  from IPython.utils.tokenize2 import generate_tokens, untokenize, TokenError
label_desc: Use image node_id 1 to create a new CoroutineInputTransformer object from inherited base classes: InputTransformer with example: obj = CoroutineInputTransformer(coro)