human
Solve the following python programming problem given the following code:
@ borg.annotations (out_path = 'results CSV output path', runs = ('path to JSON runs specification', 'positional', None, borg.util.load_json), repeats = ('number of times to repeat each run', 'option', None, int), workers = ('submit jobs?', 'option', 'w', int), local = ('workers are local?', 'flag')) 
def main(out_path, runs, repeats = 5, workers = 0, local = False) : 
    'Simulate portfolio and solver behavior.' 
    logger.info ('simulating %i runs', (len (runs) * workers)) 
    get_run_data = borg.util.memoize (borg.storage.RunData.from_bundle) 
    def yield_jobs() : 
        for run in runs : 
            train_data = get_run_data (run ['train_bundle']) 
            if run.get ('only_nontrivial', False) : 
                train_data = train_data.only_nontrivial () 
if (run ['test_bundle'] == '-') : 
                validation = sklearn.cross_validation.KFold (len (train_data), repeats, indices = False) 
                data_sets = [(train_data.masked (v), train_data.masked (e)) for (v, e) in validation] 
else : 
                test_data = get_run_data (run ['test_bundle']) 
                if run.get ('only_nontrivial', False) : 
                    test_data = test_data.only_nontrivial () 
data_sets = ([(train_data, test_data)] * repeats) 
if (run ['portfolio_name'] == '-') : 
                makers = map (SolverMaker, train_data.solver_names) 
else : 
                makers = [PortfolioMaker (run ['portfolio_name'])] 
for maker in makers : 
                for (train_fold_data, test_fold_data) in data_sets : 
                    (yield (simulate_run, [run, maker, train_fold_data, test_fold_data])) 
with borg.util.openz (out_path, 'wb') as out_file : 
        writer = csv.writer (out_file) 
        writer.writerow (['category', 'solver', 'budget', 'cost', 'success', 'split']) 
        for (_, rows) in condor.do (yield_jobs (), workers, local) : 
            writer.writerows (rows) 
            out_file.flush () 

    
    

    Fix the buggy line: logger.info ('simulating %i runs', (len (runs) * workers))
assistant
#Here is Python code to fix the buggy line: logger.

logger.info ('simulating %i runs', (len (runs) * repeats))