class_docstr: Randomly delete trans_p * num_sentences sentences
  
  Attributes:
      trans_p: proportion of deleted sentences; default 0.2
      processor: textflint.common.preprocess.TextProcessor.
  
  Example::
  
      ori: {
          'sentences': [
              ['I', 'came'], ['I', 'saw'], ['I', 'conquered'], 
              ['Anna', 'bel', 'wanna', 'sleep'],
              ['Anna', 'bel', 'is', 'happy']],
          'clusters': [
              [[1, 1], [3, 3], [5, 5]], 
              [[7, 8], [11, 12]]]}
      trans: {
          'sentences': [
              ['I', 'came'], ['I', 'saw'], 
              ['Anna', 'bel', 'wanna', 'sleep'],
              ['Anna', 'bel', 'is', 'happy']],
          'clusters': [
              [[1, 1], [3, 3]], 
              [[5, 6], [9, 10]]]}
code: def __repr__(self):
      return "RndDelete"
  
imports: import random
  from ..transformation import Transformation
label_desc: Use image node_id 2 for calling the RndDelete obj's underlying member method code with example usage: obj.__repr__() and returns: str