code: def baseline_pipeline():
      pipeline = Pipeline()
      last_node = PipelineNode(operation_type="rf", nodes_from=[])
      for requirement_model in ["knn", "logit"]:
          new_node = PipelineNode(requirement_model)
          pipeline.add_node(new_node)
          last_node.nodes_from.append(new_node)
      pipeline.add_node(last_node)
  
      return pipeline
  
imports: import datetime
  from pathlib import Path
  import numpy
  import pandas
  import pytest
  from golem.core.optimisers.genetic.gp_params import GPAlgorithmParameters
  from golem.core.optimisers.genetic.operators.inheritance import GeneticSchemeTypesEnum
  from golem.core.optimisers.genetic.operators.selection import SelectionTypesEnum
  from golem.core.optimisers.random.random_search import RandomSearchOptimizer
  from sklearn.metrics import roc_auc_score
  from fedot import Fedot
  from fedot.core.caching.pipelines_cache import OperationsCache
  from fedot.core.composer.composer_builder import ComposerBuilder
  from fedot.core.composer.random_composer import RandomSearchComposer
  from fedot.core.data.data import InputData
  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.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.pipelines.pipeline_composer_requirements import PipelineComposerRequirements
  from fedot.core.pipelines.pipeline_graph_generation_params import get_pipeline_generation_params
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.operation_types_repository import OperationTypesRepository, get_operations_for_task
  from fedot.core.repository.metrics_repository import ClassificationMetricsEnum, ComplexityMetricsEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from fedot.core.utils import fedot_project_root, set_random_seed
  from test.unit.pipelines.test_pipeline_comparison import pipeline_first, pipeline_second
label_desc: Use image node_id 6 for calling a global function with example usage: baseline_pipeline() and returns: pipeline