class_docstr: Flow that apply augmenters sequentially.
  
  :param list flow: list of flow or augmenter
  :param str name: Name of this augmenter
  
  >>> import nlpaug.flow as naf
  >>> import nlpaug.augmenter.char as nac
  >>> import nlpaug.augmenter.word as naw
  >>> flow = naf.Sequential([nac.RandomCharAug(), naw.RandomWordAug()])
class_docstr_tok: ["Flow","that","apply","augmenters","sequentially",".",":","param","list","flow",":","list","of","flow","or","augmenter",":","param","str","name",":","Name","of","this","augmenter",">",">",">","import","nlpaug.flow","as","naf",">",">",">","import","nlpaug.augmenter.char","as","nac",">",">",">","import","nlpaug.augmenter.word","as","naw",">",">",">","flow","=","naf.Sequential","(","[","nac.RandomCharAug","(",")",",","naw.RandomWordAug","(",")","]",")"]
code: def draw(self):
      return True
  
imports: from nlpaug.util import Action
  from nlpaug.flow import Pipeline
label_desc: Use image node_id 2 for calling the Sequential obj's underlying member method code with example usage: obj.draw() and returns: True