class_docstr: RndReplace: trans_p * num_sentences of sentences are replaced by
      irrelevant sentences from samples_other, and the attached corefs
      will be ignored.
  
  Attributes:
      trans_p: proportion of inserted 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'], ['It', 'was', 'a', 'good', 'trip'], 
              ['I', 'conquered'], ['Anna', 'bel', 'wanna', 'sleep'], 
              ['Anna', 'bel', 'is', 'happy']],
          'clusters': [
              [[1, 1], [8, 8]], 
              [[10, 11], [16, 17]]]}
code: def __repr__(self):
      return "RndReplace"
  
file_path: textflint/textflint/generation/transformation/COREF/random_replace.py
imports: from copy import copy
  from math import ceil
  import random
  from ..transformation import Transformation
label_desc: Use image node_id 2 for calling the RndReplace obj's underlying member method code with example usage: obj.__repr__() and returns: str