code: def test_data_merge_multi_ts_equal(equal_outputs_multi_ts):
      output1, output2 = equal_outputs_multi_ts
  
      merged_data = DataMerger.get([output1, output2]).merge()
  
      assert np.equal(merged_data.idx, output1.idx).all()
      true_shape = (
          len(output1.idx),
          output1.predict.shape[1] + output2.predict.shape[1],
      )
      assert merged_data.features.shape == true_shape
  
file_path: FEDOT/test/unit/data/test_data_merge_multi_ts.py
imports: import numpy
  import pytest
  from fedot.core.data.data import OutputData
  from fedot.core.data.merge.data_merger import DataMerger
  from fedot.core.data.supplementary_data import SupplementaryData
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
label_desc: Use image node_id 3 for calling a global function with example usage: test_data_merge_multi_ts_equal(equal_outputs_multi_ts) without return types