code: def main(config=".../config.yaml", namespace=""):
      if isinstance(config, str):
          config = test_utils.load_job_config(config)
      parties = config.parties
      guest = parties.guest[0]
      host = parties.host[0]
  
      pipeline = FateFlowPipeline().set_parties(guest=guest, host=host)
      if config.task_cores:
          pipeline.conf.set("task_cores", config.task_cores)
      if config.timeout:
          pipeline.conf.set("timeout", config.timeout)
  
      reader_0 = Reader("reader_0")
      reader_0.guest.task_parameters(
          namespace=f"experiment{namespace}", name="breast_hetero_guest"
      )
      reader_0.hosts[0].task_parameters(
          namespace=f"experiment{namespace}", name="breast_hetero_host"
      )
      psi_0 = PSI("psi_0", input_data=reader_0.outputs["output_data"])
  
      selection_0 = HeteroFeatureSelection(
          "selection_0",
          method=["manual"],
          train_data=psi_0.outputs["output_data"],
      )
      selection_0.guest.task_parameters(
          manual_param={"keep_col": ["x0", "x1"]}
      )
      selection_0.hosts[0].task_parameters(
          manual_param={"filter_out_col": ["x0", "x1"]}
      )
  
      pipeline.add_tasks([reader_0, psi_0, selection_0])
  
      # pipeline.add_task(hetero_feature_binning_0)
      pipeline.compile()
      # print(pipeline.get_dag())
      pipeline.fit()
  
      # print(pipeline.get_task_info("feature_scale_1").get_output_model())
  
      pipeline.deploy([psi_0, selection_0])
  
      predict_pipeline = FateFlowPipeline()
  
      reader_1 = Reader("reader_1")
      reader_1.guest.task_parameters(
          namespace=f"experiment{namespace}", name="breast_hetero_guest"
      )
      reader_1.hosts[0].task_parameters(
          namespace=f"experiment{namespace}", name="breast_hetero_host"
      )
  
      deployed_pipeline = pipeline.get_deployed_pipeline()
      deployed_pipeline.psi_0.input_data = reader_1.outputs[
          "output_data"
      ]
  
      predict_pipeline.add_tasks([reader_1, deployed_pipeline])
      predict_pipeline.compile()
      predict_pipeline.predict()
  
imports: import argparse
  from fate_client.pipeline import FateFlowPipeline
  from fate_client.pipeline.components.fate import PSI, HeteroFeatureSelection, Reader
  from fate_client.pipeline.utils import test_utils
label_desc: Use image node_id 1 for calling a global function with example usage: main(config, namespace) without return types