def extract_lsq_problems():
 problems = OrderedDict()
 for (name, problem_class) in inspect.getmembers(sys.modules[__name__], inspect.isclass):
  if ((name != 'LSQBenchmarkProblem') and issubclass(problem_class, LSQBenchmarkProblem) and hasattr(problem_class, 'INITIAL_GUESSES')):
   for (i, x0) in enumerate(problem_class.INITIAL_GUESSES):
    if (len(problem_class.INITIAL_GUESSES) > 1):
     key_name = '{0}_{1}'.format(name, i)
    else:
     key_name = name
    problems[key_name] = problem_class(x0)
 return problems

def extract_lsq_problems ( ) : problems = OrderedDict ( ) for ( name , problem_class ) in inspect . getmembers ( sys . modules [ __name__ ] , inspect . isclass ) : if ( ( name != 'LSQBenchmarkProblem' ) and issubclass ( problem_class , LSQBenchmarkProblem ) and hasattr ( problem_class , 'INITIAL_GUESSES' ) ) : for ( i , x0 ) in enumerate ( problem_class . INITIAL_GUESSES ) : if ( len ( problem_class . INITIAL_GUESSES ) > 1 ) : key_name = '{0}_{1}' . format ( name , i ) else : key_name = name problems [ key_name ] = problem_class ( x0 ) return problems
extract all least squares problems in this file for benchmarking .