class_docstr: Benchmark the optimizers with the CUTEST DFO benchmark of Moré and Wild.
  The original benchmark suite is available at
  https://github.com/POptUS/BenDFO
class_docstr_tok: ["Benchmark","the","optimizers","with","the","CUTEST","DFO","benchmark","of","Mor\u00e9","and","Wild",".","The","original","benchmark","suite","is","available","at","https",":","\/\/github.com\/POptUS\/BenDFO"]
code: def run_cutest(self, func, x0, prob_number, methods=None):
      if methods is None:
          methods = MINIMIZE_METHODS
      b = _BenchOptimizers(
          f"DFO benchmark problem {prob_number}", fun=func
      )
      b.bench_run(x0, methods=methods)
      return b
  
imports: import os
  import time
  import inspect
  import json
  import traceback
  from collections import defaultdict
  import numpy
  from .None import test_functions
  from .None import go_benchmark_functions
  from .common import Benchmark, is_xslow, safe_import
  from .lsq_problems import extract_lsq_problems
label_desc: Use image node_id 3 for calling the BenchDFO obj's underlying member method code with example usage: obj.run_cutest(func, x0, prob_number, methods) and returns: b