new_contents: """ Generates input and label data for training models. """
  import numpy as np
  
  
  def generate_img_input_data(input_shape, num_classes):
    """Generates training data and target labels.
  
    # Arguments
      input_shape: input shape in the following format
                        (num_samples,channels, x, y)
      num_classes: number of classes that we want to classify the input
  
    # Returns
      numpy arrays: 'x_train, y_train'
    """
    x_train = np.random.randint(0, 255, input_shape)
    y_train = np.random.randint(0, num_classes, (input_shape[0],))
  
    return x_train, y_train
  
  
  def generate_text_input_data(input_shape):
    """Generates training data and target labels.
  
    # Arguments
      input_shape: input shape in the following format(num_samples, x, y)
  
    # Returns
      numpy arrays: 'x_train, y_train' where the value of the arrays are booleans.
    """
    x_train = np.random.choice([True,False], input_shape)
    y_train = np.random.choice([True,False], (input_shape[0],input_shape[2]))
  
    return x_train, y_train
  
  
subject: add missing data generator file