class_docstr: Subclass of argparse ArgumentParser which adds optional calls to sample from lists or ranges
  Also enables running optimizations across parallel processes
class_docstr_tok: ["Subclass","of","argparse","ArgumentParser","which","adds","optional","calls","to","sample","from","lists","or","ranges","Also","enables","running","optimizations","across","parallel","processes"]
code: def add_argument(self, *args, **kwargs):
      super(HyperOptArgumentParser, self).add_argument(*args, **kwargs)
  
imports: import argparse
  import json
  import math
  import os
  import random
  import re
  import traceback
  from argparse import ArgumentParser
  from copy import deepcopy
  from gettext import gettext
  from multiprocessing import Pool, Queue
  from time import sleep
  import numpy
  from .hyper_opt_utils import strategies
label_desc: Use image node_id 4 for calling the HyperOptArgumentParser obj's underlying member method code with example usage: obj.add_argument() without return types