code: def test_data_merge_common_index(unequal_outputs_table):
      """Test check is the merge function can find appropriate intersections of
      indices. Set {idx_2} ∈ set {idx_1}, so intersection must be = idx_2
      """
      idx_2 = unequal_outputs_table[1].idx
      merged_data = DataMerger.get(unequal_outputs_table).merge()
  
      assert tuple(merged_data.idx) == tuple(idx_2)
  
imports: import operator
  from itertools import product, repeat
  from typing import List
  import numpy
  import pytest
  from examples.simple.regression.regression_with_tuning import get_regression_dataset
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.data.merge.data_merger import DataMerger
  from fedot.core.data.supplementary_data import SupplementaryData
  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 8 for calling a global function with example usage: test_data_merge_common_index(unequal_outputs_table) without return types