class_docstr: Apply sequential transformations to input sample.
  Default generate transformed samples of combination number of contained
  transformations.
docstr: :return: List of transformation string.
docstr_tok: [":","return",":","List","of","transformation","string","."]
code: def get_transformations(self):
      r"""
      :return: List of transformation string.
  
      """
      return [str(trans_obj) for trans_obj in self]
  
file_path: textflint/textflint/generation/transformation/pipeline.py
imports: from ..transformation import Transformation
label_desc: Use image node_id 4 for calling the Pipeline obj's underlying member method code with example usage: obj.get_transformations() and returns: unknown