code: def get_split_data_paths():
      file_path_train = "test/data/simple_regression_train.csv"
      file_path_test = "test/data/simple_regression_test.csv"
      full_path_train = os.path.join(
          str(fedot_project_root()), file_path_train
      )
      full_path_test = os.path.join(
          str(fedot_project_root()), file_path_test
      )
  
      return full_path_train, full_path_test
  
imports: import os
  from typing import Optional
  import numpy
  import pandas
  from sklearn.model_selection import train_test_split
  from cases.metocean_forecasting_problem import prepare_input_data
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.data.supplementary_data import SupplementaryData
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from fedot.core.utils import fedot_project_root
  from test.integration.models.test_split_train_test import get_synthetic_input_data
  from test.unit.tasks.test_classification import get_iris_data, get_synthetic_classification_data
  from test.unit.tasks.test_forecasting import get_ts_data
  from test.unit.tasks.test_regression import get_synthetic_regression_data
label_desc: Use image node_id 1 for calling a global function with example usage: get_split_data_paths() and returns: full_path_train,  full_path_test