code: def generate_pipeline() -> Pipeline:
      node_scaling = PipelineNode("scaling")
      node_first = PipelineNode("kmeans", nodes_from=[node_scaling])
      node_second = PipelineNode("kmeans", nodes_from=[node_scaling])
      node_root = PipelineNode(
          "logit", nodes_from=[node_first, node_second]
      )
      pipeline = Pipeline(node_root)
      return pipeline
  
imports: import numpy
  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 test.integration.models.test_split_train_test import get_roc_auc_value, get_synthetic_input_data
label_desc: Use image node_id 1 for calling a global function with example usage: generate_pipeline() and returns: pipeline