human
Solve the following python programming problem given the following code:
def main(name, epochs, batch_size, learning_rate, dim, mix_dim, old_model_name, max_length, bokeh, GRU, dropout, depth, max_grad, step_method, epsilon, sample, skip, uniform, top) : 
    datasource = name 
    def shnum(x) : 
        ' Convert a positive float into a short tag-usable string
             E.g.: 0 -> 0, 0.005 -> 53, 100 -> 1-2
        ' 
        return ('0' if (x <= 0) else ('%s%d' % (('%e' % x) [0], (- np.floor (np.log10 (x)))))) 
jobname = ('%s-%dX%dm%dd%dr%sb%de%s' % (datasource, depth, dim, mix_dim, int ((dropout * 10)), shnum (test_ds), batch_size, shnum (epsilon))) 
    if (max_length != 600) : 
        jobname += ('-L%d' % max_length) 
if GRU : 
        jobname += 'g' 
if (max_grad != 5.0) : 
        jobname += ('G%g' % max_grad) 
if (step_method != 'adam') : 
        jobname += step_method 
if skip : 
        jobname += 'D' 
        assert (depth > 1) 
if top : 
        jobname += 'T' 
        assert (depth > 1) 
if (uniform > 0.0) : 
        jobname += ('u%d' % int ((uniform * 100))) 
if debug : 
        jobname += '.debug' 
if sample : 
        print ('Sampling') 
else : 
        print (('
Running experiment %s' % jobname)) 
if old_model_name : 
        print (('starting from model %s' % old_model_name)) 
transitions = [(GatedRecurrent (dim = dim) if GRU else LSTM (dim = dim)) for _ in range (depth)] 
    if (depth > 1) : 
        transition = RecurrentStack (transitions, name = 'transition', skip_connections = (skip or top)) 
        if skip : 
            source_names = [RecurrentStack.suffix ('states', d) for d in range (depth)] 
else : 
            source_names = [RecurrentStack.suffix ('states', (depth - 1))] 
else : 
        transition = transitions [0] 
        transition.name = 'transition' 
        source_names = ['states'] 
emitter = SketchEmitter (mix_dim = mix_dim, epsilon = epsilon, name = 'emitter') 
    readout = Readout (readout_dim = emitter.get_dim ('inputs'), source_names = source_names, emitter = emitter, name = 'readout') 
    generator = SequenceGenerator...

    
    

    Fix the buggy line: jobname = ('%s-%dX%dm%dd%dr%sb%de%s' % (datasource, depth, dim, mix_dim, int ((dropout * 10)), shnum (test_ds), batch_size, shnum (epsilon)))
assistant
#Here is Python program to fix the buggy line: jobname = ('%s-%dX%dm%dd%dr%sb%de%s' % (datasource, depth, dim, mix_dim, int ((dropout * 10)), shnum (test_ds), batch_size, shnum (epsilon)))
.

jobname = ('%s-%dX%dm%dd%dr%sb%de%s' % (datasource, depth, dim, mix_dim, int ((dropout * 10)), shnum (learning_rate), batch_size, shnum (epsilon)))