code: def algorithm_dict():
      """Return an algorithm configuration"""
      return dict(
          bayesianoptimizer=dict(
              acq_func="gp_hedge",
              alpha=1e-10,
              n_initial_points=10,
              n_restarts_optimizer=0,
              normalize_y=False,
          )
      )
  
imports: import itertools
  import textwrap
  import pytest
  from orion.core.io.space_builder import SpaceBuilder
  from orion.core.utils.format_terminal import format_algorithm, format_commandline, format_config, format_dict, format_identification, format_info, format_list, format_metadata, format_refers, format_space, format_stats, format_title, get_trial_params
  from orion.core.worker.experiment import ExperimentStats
  from orion.core.worker.trial import Trial
label_desc: Use image node_id 5 for calling a global function with example usage: algorithm_dict() and returns: dict