code: def test_data_merge_common_index_empty(unequal_outputs_table):
      output1, output2 = unequal_outputs_table
      output1.idx *= 1000
  
      # ensure index is completely different
      assert len(np.intersect1d(output1.idx, output2.idx)) == 0
  
      with pytest.raises(ValueError, match="no common ind"):
          DataMerger.get(unequal_outputs_table).merge()
  
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 9 for calling a global function with example usage: test_data_merge_common_index_empty(unequal_outputs_table) without return types