class_docstr: An input splitter that recognizes all of IPython's special syntax.
class_docstr_tok: ["An","input","splitter","that","recognizes","all","of","IPython","'s","special","syntax","."]
docstr: Transformers, excluding logical line transformers if we're in a
  Python line.
docstr_tok: ["Transformers",",","excluding","logical","line","transformers","if","we","'re","in","a","Python","line","."]
code: def transforms_in_use(self):
      """Transformers, excluding logical line transformers if we're in a
      Python line."""
      t = self.physical_line_transforms[:]
      if not self.within_python_line:
          t += [
              self.assemble_logical_lines
          ] + self.logical_line_transforms
      return (
          t + [self.assemble_python_lines] + self.python_line_transforms
      )
  
imports: from warnings import warn
  import ast
  import codeop
  import io
  import re
  import sys
  import tokenize
  import warnings
  from typing import List, Tuple, Union, Optional
  from types import CodeType
  from IPython.core.inputtransformer import leading_indent, classic_prompt, ipy_prompt, cellmagic, assemble_logical_lines, help_end, escaped_commands, assign_from_magic, assign_from_system, assemble_python_lines
  from IPython.utils import tokenutil
  from IPython.core.inputtransformer import ESC_SHELL, ESC_SH_CAP, ESC_HELP, ESC_HELP2, ESC_MAGIC, ESC_MAGIC2, ESC_QUOTE, ESC_QUOTE2, ESC_PAREN, ESC_SEQUENCES
label_desc: Use image node_id 3 for calling the IPythonInputSplitter obj's underlying member method code with example usage: obj.transforms_in_use() and returns: unknown