code: def cli_parse(parser):
      parser.add_argument(
          "-X",
          "--model-input-file",
          type=str,
          required=True,
          default=None,
          help="Model input file",
      )
      parser.add_argument(
          "-r",
          "--resamples",
          type=int,
          required=False,
          default=1000,
          help="Number of bootstrap resamples for Morris \
                             confidence intervals",
      )
      parser.add_argument(
          "-l",
          "--levels",
          type=int,
          required=False,
          default=4,
          help="Number of grid levels \
                             (Morris only)",
      )
      parser.add_argument(
          "--scaled",
          type=bool,
          required=False,
          default=False,
          help="Scale the results by ratio of stddev of X and Y (Morris)",
      )
      return parser
  
imports: from typing import Dict, List
  import numpy
  from scipy.stats import norm
  from .None import common_args
  from ..util import read_param_file, compute_groups_matrix, ResultDict, _define_problem_with_groups, _compute_delta, _check_groups
label_desc: Use image node_id 15 for calling a global function with example usage: cli_parse(parser) and returns: parser