code: def _create_benchmark(storage):
      benchmark = get_or_create_benchmark(
          storage=storage,
          name="branin_baselines",
          algorithms=["gridsearch", "random"],
          targets=[
              {
                  "assess": [AverageResult(2)],
                  "task": [Branin(max_trials=10)],
              }
          ],
      )
  
      # Execute the benchmark
      benchmark.process()
      import pprint
  
      pprint.pprint(benchmark.configuration)
  
      benchmark = get_or_create_benchmark(
          storage=storage,
          name="another_benchmark",
          algorithms=["gridsearch", {"random": {"seed": 1}}],
          targets=[
              {
                  "assess": [AverageResult(2), AverageRank(2)],
                  "task": [
                      Branin(max_trials=10),
                      CarromTable(20),
                      EggHolder(20, dim=4),
                  ],
              }
          ],
      )
  
      # Execute the benchmark
      benchmark.process()
  
      pprint.pprint(benchmark.configuration)
  
imports: import json
  import os
  import pytest
  from falcon import testing
  from orion.benchmark.assessment import AverageRank, AverageResult
  from orion.benchmark.benchmark_client import get_or_create_benchmark
  from orion.benchmark.task import Branin, CarromTable, EggHolder
  from orion.serving.webapi import WebApi
  from orion.storage.base import setup_storage
label_desc: Use image node_id 3 for calling a global function with example usage: _create_benchmark(storage) without return types