code: def get_kc2_data():
      file_path = "cases/data/kc2/kc2.csv"
      full_path = join(str(fedot_project_root()), file_path)
      task = Task(TaskTypesEnum.classification)
      data = InputData.from_csv(full_path, task=task)
      train, test = train_test_data_setup(data)
  
      return train, test
  
imports: from os import makedirs
  from os.path import exists, join
  from golem.core.optimisers.genetic.gp_params import GPAlgorithmParameters
  from golem.core.optimisers.genetic.operators.inheritance import GeneticSchemeTypesEnum
  from fedot.core.pipelines.pipeline_composer_requirements import PipelineComposerRequirements
  from examples.simple.classification.classification_pipelines import classification_three_depth_manual_pipeline
  from examples.simple.regression.regression_pipelines import regression_three_depth_manual_pipeline
  from fedot.core.composer.composer_builder import ComposerBuilder
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.repository.operation_types_repository import get_operations_for_task
  from fedot.core.repository.metrics_repository import ClassificationMetricsEnum, MetricsRepository, RegressionMetricsEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from fedot.core.utils import default_fedot_data_dir, fedot_project_root
  from fedot.structural_analysis.node_sa_approaches import NodeDeletionAnalyze, NodeReplaceOperationAnalyze
  from fedot.structural_analysis.nodes_sensitivity import NodesAnalysis
label_desc: Use image node_id 3 for calling a global function with example usage: get_kc2_data() and returns: train,  test