code: def scaling_logit_rf_pipeline():
      node_first = PipelineNode("scaling")
      node_second = PipelineNode("logit", nodes_from=[node_first])
      node_third = PipelineNode("bernb", nodes_from=[node_second])
      return Pipeline(node_third)
  
imports: from itertools import chain
  from pathlib import Path
  import numpy
  import pytest
  from golem.core.dag.graph import Graph
  from golem.core.optimisers.fitness import SingleObjFitness
  from golem.core.optimisers.genetic.evaluation import MultiprocessingDispatcher
  from golem.core.optimisers.opt_history_objects.individual import Individual
  from golem.core.optimisers.opt_history_objects.opt_history import OptHistory
  from fedot import Fedot
  from fedot.core.data.data import InputData
  from fedot.core.operations.model import Model
  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_graph_generation_params import get_pipeline_generation_params
  from fedot.core.repository.metrics_repository import ClassificationMetricsEnum, MetricIDType, RegressionMetricsEnum
  from fedot.core.repository.tasks import TaskTypesEnum
  from fedot.core.utils import fedot_project_root
  from test.unit.tasks.test_forecasting import get_ts_data
  from test.unit.validation.test_table_cv import get_classification_data
label_desc: Use image node_id 1 for calling a global function with example usage: scaling_logit_rf_pipeline() and returns: Pipeline