code: def random_sampling_cts(dim, num_samples):
      """Just picks uniformly random samples from a  dim-dimensional space."""
      return np.random.random((num_samples, dim))
  
imports: from argparse import Namespace
  import numpy
  from .cp_domain_utils import get_processed_from_raw_via_config, get_raw_from_processed_via_config, sample_from_cp_domain
  from ..utils.general_utils import map_to_bounds, flatten_list_of_lists
  from ..utils.oper_utils import direct_ft_maximise, latin_hc_sampling, pdoo_maximise, random_maximise
label_desc: Use image node_id 1 for calling a global function with example usage: random_sampling_cts(dim, num_samples) and returns: np