class_docstr: Base class for evaluating methods for optimisation. 
class_docstr_tok: ["Base","class","for","evaluating","methods","for","optimisation","."]
docstr: Prints the result for this method. 
docstr_tok: ["Prints","the","result","for","this","method","."]
code: def _print_method_result(self, method, comp_opt_val, num_evals):
      """Prints the result for this method."""
      result_str = (
          "Method: %s achieved max-val %0.5f in %d evaluations.\n"
          % (method, comp_opt_val, num_evals)
      )
      self.reporter.writeln(result_str)
  
imports: from argparse import Namespace
  from datetime import datetime
  import os
  import numpy
  from .blackbox_optimiser import OptInitialiser
  from ..utils.method_evaluator import BaseMethodEvaluator
label_desc: Use image node_id 8 for calling the OptMethodEvaluator obj's underlying member method code with example usage: obj._print_method_result(method, comp_opt_val, num_evals) without return types