class_docstr: Implements the local optimisation algorithm using the Strategy interface
class_docstr_tok: ["Implements","the","local","optimisation","algorithm","using","the","Strategy","interface"]
code: def _sample(
      self,
      input_sample,
      num_samples,
      num_params,
      k_choices,
      num_groups=None,
  ):
      return self.find_local_maximum(
          input_sample, num_samples, num_params, k_choices, num_groups
      )
  
file_path: SALib/src/SALib/sample/morris/local.py
imports: from itertools import combinations
  import numpy
  from typing import List, Tuple, Union
  from .strategy import Strategy
label_desc: Use image node_id 1 for calling the LocalOptimisation obj's underlying member method code with example usage: obj._sample(input_sample, num_samples, num_params, k_choices, num_groups) and returns: self