code: def empty_pipeline():
      return Pipeline()
  
imports: import datetime
  from copy import deepcopy
  import numpy
  import pytest
  from golem.core.optimisers.fitness import SingleObjFitness
  from fedot.core.data.data import InputData
  from fedot.core.data.supplementary_data import SupplementaryData
  from fedot.core.optimisers.objective import PipelineObjectiveEvaluate
  from fedot.core.optimisers.objective.data_source_splitter import DataSourceSplitter
  from fedot.core.optimisers.objective.metrics_objective import MetricsObjective
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.pipelines.pipeline_builder import PipelineBuilder
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.metrics_repository import ClassificationMetricsEnum, MetricsRepository, RegressionMetricsEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from test.integration.models.test_model import classification_dataset, classification_dataset_with_str_labels
  from test.unit.tasks.test_forecasting import get_simple_ts_pipeline
  from test.unit.validation.test_table_cv import sample_pipeline
  from test.unit.validation.test_time_series_cv import configure_experiment
label_desc: Use image node_id 4 for calling a global function with example usage: empty_pipeline() and returns: Pipeline