code: def _trials_for_dims(names, dims, initial_x, num_trials, random_seed):
      res = skopt.dummy_minimize(
          lambda *args: 0,
          dims,
          n_calls=num_trials,
          random_state=random_seed,
      )
      trials_xs = res.x_iters
      if trials_xs:
          _apply_initial_x(initial_x, trials_xs[0])
      return [
          dict(zip(names, native_python_xs(xs))) for xs in trials_xs
      ]
  
imports: import logging
  import os
  import typing
  import warnings
  from guild import _skopt
  from guild import batch_util
  from guild import flag_util
  from guild import op_util
  from guild import query
label_desc: Use image node_id 2 for calling a global function with example usage: _trials_for_dims(names, dims, initial_x, num_trials, random_seed) and returns: unknown