code: def test_data_merge_into_table(output_table_1d):
      data_1 = output_table_1d
      data_2 = output_table_1d
      data_3 = output_table_1d
      new_input_data = DataMerger.get(
          outputs=[data_1, data_2, data_3]
      ).merge()
      assert np.equal(
          new_input_data.features,
          np.array([data_1.predict, data_2.predict, data_3.predict]),
      ).all()
  
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 5 for calling a global function with example usage: test_data_merge_into_table(output_table_1d) without return types