src/pipelines/alphafold_inference_pipeline.py [59:75]:
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    sequence_path: str,
    project: str,
    region: str,
    max_template_date: str,
    model_preset: str = 'monomer',
    use_small_bfd: bool = True,
    num_multimer_predictions_per_model: int = 5,
    is_run_relax: str = 'relax'
):
  """Universal Alphafold Inference Pipeline."""
  run_config = ConfigureRunOp(
      sequence_path=sequence_path,
      model_preset=model_preset,
      num_multimer_predictions_per_model=num_multimer_predictions_per_model,
  ).set_display_name('Configure Pipeline Run')

  model_parameters = dsl.importer(
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src/pipelines/alphafold_inference_pipeline_sequential.py [49:65]:
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    sequence_path: str,
    project: str,
    region: str,
    max_template_date: str,
    model_preset: str = 'monomer',
    use_small_bfd: bool = True,
    num_multimer_predictions_per_model: int = 5,
    is_run_relax: str = 'relax'
):
    """Universal Alphafold Inference Pipeline."""
    run_config = ConfigureRunOp(
        sequence_path=sequence_path,
        model_preset=model_preset,
        num_multimer_predictions_per_model=num_multimer_predictions_per_model,
    ).set_display_name('Configure Pipeline Run')

    model_parameters = dsl.importer(
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