code: def test_data_merge_ts_pipelines(ts_pipelines):
      train_input, predict_input, _ = get_time_series()
  
      pipeline = ts_pipelines.build()
  
      pipeline.fit_from_scratch(train_input)
      predicted_output = pipeline.predict(predict_input)
  
      assert predicted_output is not None
  
file_path: FEDOT/test/unit/data/test_data_merge_ts.py
imports: from itertools import product
  import numpy
  import pytest
  from fedot.core.data.data import OutputData
  from fedot.core.data.merge.data_merger import DataMerger
  from fedot.core.pipelines.pipeline_builder import PipelineBuilder
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum, TsForecastingParams
  from fedot.utilities.synth_dataset_generator import generate_synthetic_data
  from test.unit.data_operations.test_data_operations_implementations import get_time_series
label_desc: Use image node_id 6 for calling a global function with example usage: test_data_merge_ts_pipelines(ts_pipelines) without return types