code: def nested_rosenbrock(x: dict[str, float]) -> list[dict]:
      return rosenbrock_with_fidelity(x["value"], x["noise"])
  
imports: from __future__ import annotations
  import copy
  import os
  from pathlib import Path
  import numpy
  import pytest
  from orion.algo.pbt.pb2_utils import import_optional
  from orion.client import build_experiment, create_experiment, workon
  from orion.core.io.space_builder import SpaceBuilder
  from orion.core.utils.module_import import ImportOptional
  from orion.core.worker.algo_wrappers import AlgoWrapper
  from orion.core.worker.primary_algo import SpaceTransform
  from orion.core.worker.trial import Trial
  from orion.storage.base import BaseStorageProtocol
  from orion.benchmark.task.base import BenchmarkTask
label_desc: Use image node_id 2 for calling a global function with example usage: nested_rosenbrock(x) and returns: rosenbrock_with_fidelity