class_docstr: RndInsert: trans_p * num_sentences of irrelevance sentences are
      sampled from samples_other, and they will be inserted into original
      sentences in sample. These inserted sentences include no corefs.
  
  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'], ['I', 'saw'], ['who', 'is', 'this', 'boy'], 
              ['I', 'conquered'], ['Anna', 'bel', 'wanna', 'sleep'], 
              ['Anna', 'bel', 'is', 'happy']],
          'clusters': [
              [[1, 1], [3, 3], [9, 9]], 
              [[11, 12], [17, 18]]]}
code: def __init__(self, trans_p=0.2, **kwargs):
      super().__init__()
      self.trans_p = trans_p
  
file_path: textflint/textflint/generation/transformation/COREF/random_insert.py
imports: from copy import copy
  from math import ceil
  import random
  from ...transformation import Transformation
label_desc: Use image node_id 1 to create a new RndInsert object from inherited base classes: Transformation with example: obj = RndInsert(trans_p)