code: def pipeline_third():
      #    QDA
      #  |     \
      # RF     RF
      pipeline = Pipeline()
      new_node = PipelineNode("qda")
      for model_type in ("rf", "rf"):
          new_node.nodes_from.append(PipelineNode(model_type))
      pipeline.add_node(new_node)
      [
          pipeline.add_node(node_from)
          for node_from in new_node.nodes_from
      ]
      return pipeline
  
imports: import glob
  import os
  import numpy
  import pytest
  from sklearn.datasets import load_breast_cancer
  from fedot.core.caching.pipelines_cache import OperationsCache
  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.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
label_desc: Use image node_id 7 for calling a global function with example usage: pipeline_third() and returns: pipeline