code: def transform(x):
      x_transform = []
      for i, word_indices in enumerate(x):
          BoW_array = np.zeros((NUM_WORDS,))
          for index in word_indices:
              if index < len(BoW_array):
                  BoW_array[index] += 1
          x_transform.append(BoW_array)
      return np.array(x_transform)
  
file_path: TextAttack/examples/attack/attack_keras_parallel.py
imports: import numpy
  import tensorflow
  from tensorflow.keras.layers import Dense, Dropout
  from tensorflow.keras.models import Model, Sequential
  from tensorflow.keras.utils import to_categorical
  from tensorflow.python.keras.layers import deserialize, serialize
  from tensorflow.python.keras.saving import saving_utils
  import torch
  from textattack import AttackArgs, Attacker
  from textattack.attack_recipes import PWWSRen2019
  from textattack.datasets import HuggingFaceDataset
  from textattack.models.wrappers import ModelWrapper
label_desc: Use image node_id 3 for calling a global function with example usage: transform(x) and returns: np