class_docstr: Implements the brute force optimisation strategy
code: def _sample(
      self,
      input_sample,
      num_samples,
      num_params,
      k_choices,
      num_groups=None,
  ):
      return self.brute_force_most_distant(
          input_sample, num_samples, num_params, k_choices, num_groups
      )
  
file_path: SALib/src/SALib/sample/morris/brute.py
imports: from SALib.sample.morris.strategy import Strategy
  from scipy.special import comb
  from itertools import combinations, islice
  import sys
  import numpy
  from typing import List
label_desc: Use image node_id 1 for calling the BruteForce obj's underlying member method code with example usage: obj._sample(input_sample, num_samples, num_params, k_choices, num_groups) and returns: self