human
Solve the following python programming problem given the following code:
@ borg.annotations (out_path = 'results output path', bundle = ('path to pre-recorded runs', 'positional', None, os.path.abspath), workers = ('submit jobs?', 'option', 'w', int), local = ('workers are local?', 'flag')) 
def main(out_path, bundle, workers = 0, local = False) : 
    'Evaluate the pure multinomial model over a range of smoothing values.' 
    def yield_jobs() : 
        run_data = borg.storage.RunData.from_bundle (bundle) 
        validation = sklearn.cross_validation.KFold (len (run_data), 10, indices = False) 
        for (train_mask, test_mask) in validation : 
            split = uuid.uuid4 () 
            alphas = numpy.r_ [1e-08 : 0.1 : 64j] 
            for alpha in alphas : 
                (yield (evaluate_split, [run_data, alpha, split, train_mask, test_mask])) 
with open (out_path, 'w') as out_file : 
        writer = csv.writer (out_file) 
        writer.writerow (['alpha', 'instances', 'split', 'mean_log_probability']) 
        for (_, row) in condor.do (yield_jobs (), workers, local) : 
            writer.writerow (bundle) 
            out_file.flush () 

    
    

    Fix the buggy line: writer.writerow (bundle)
assistant
#Here is Python program to fix the buggy line: writer.

writer.writerow (row)