code: def build_grid(hyperparameters):
      """Build a grid represented as a list of parameter dictionaries."""
      parameter_dicts = []
      for parameters in product(*hyperparameters.values()):
          parameter_tuples = zip(hyperparameters.keys(), parameters)
          parameter_dict = dict(parameter_tuples)
          parameter_dicts.append(parameter_dict)
      return parameter_dicts
  
file_path: auto-sklearn/autosklearn/metalearning/optimizers/optimizer_base.py
imports: import subprocess
  from collections import OrderedDict
  from io import StringIO
  from itertools import product
label_desc: Use image node_id 5 for calling a global function with example usage: build_grid(hyperparameters) and returns: parameter_dicts