code: def test_data_merge_tables_with_unequal_nonunique_indices():
      outputs = generate_output_tables(
          input_lengths=[20, 25, 30], unique=False
      )
      with pytest.raises(ValueError, match="not equal and not unique"):
          DataMerger.get(outputs).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 11 for calling a global function with example usage: test_data_merge_tables_with_unequal_nonunique_indices() without return types