class_docstr: Class for optimisation based on Genetic algorithms. 
class_docstr_tok: ["Class","for","optimisation","based","on","Genetic","algorithms","."]
docstr: Determines the next batch of eval points. Not implementing for now. 
docstr_tok: ["Determines","the","next","batch","of","eval","points",".","Not","implementing","for","now","."]
code: def _determine_next_batch_of_queries(self, batch_size):
      """Determines the next batch of eval points. Not implementing for now."""
      qinfos = [self._determine_next_query() for _ in range(batch_size)]
      return qinfos
  
imports: from argparse import Namespace
  from numpy.random import choice
  from .blackbox_optimiser import BlackboxOptimiser, blackbox_opt_args
  from ..utils.general_utils import sample_according_to_exp_probs
  from ..utils.option_handler import get_option_specs, load_options
label_desc: Use image node_id 10 for calling the GAOptimiser obj's underlying member method code with example usage: obj._determine_next_batch_of_queries(batch_size) and returns: qinfos