code: def get_random_target_data(data: InputData) -> InputData:
      data_copy = deepcopy(data)
      data_copy.target = np.array(
          [random.choice((0, 1)) for _ in range(len(data.target))]
      )
  
      return data_copy
  
imports: import random
  from copy import deepcopy
  from typing import Tuple
  import numpy
  from sklearn.datasets import make_classification
  from sklearn.metrics import roc_auc_score
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
label_desc: Use image node_id 4 for calling a global function with example usage: get_random_target_data(data) and returns: data_copy