code: def test_multi_ts_predict():
      train_data, test_data = get_multi_ts_data()
      pipeline = get_linear_pipeline()
      pipeline.fit(train_data)
      prediction = np.ravel(pipeline.predict(test_data).predict)
      assert np.allclose(
          np.ravel(prediction), np.ravel(test_data.target)
      )
  
file_path: FEDOT/test/unit/tasks/test_multi_ts_forecast.py
imports: from typing import Optional
  import numpy
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.tasks import Task, TaskTypesEnum, TsForecastingParams
  from fedot.core.utils import fedot_project_root
label_desc: Use image node_id 4 for calling a global function with example usage: test_multi_ts_predict() without return types