code: def get_case_train_test_data():
      """Function for getting data for train and validation"""
      train_file_path, test_file_path = get_scoring_case_data_paths()
  
      train_data = InputData.from_csv(train_file_path)
      test_data = InputData.from_csv(test_file_path)
      return train_data, test_data
  
file_path: FEDOT/examples/simple/pipeline_tune.py
imports: from copy import deepcopy
  import numpy
  from golem.core.tuning.simultaneous import SimultaneousTuner
  from sklearn.metrics import roc_auc_score
  from cases.data.data_utils import get_scoring_case_data_paths
  from examples.simple.classification.classification_pipelines import classification_complex_pipeline
  from fedot.core.data.data import InputData
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.pipelines.tuning.tuner_builder import TunerBuilder
  from fedot.core.repository.metrics_repository import ClassificationMetricsEnum
label_desc: Use image node_id 1 for calling a global function with example usage: get_case_train_test_data() and returns: train_data,  test_data