print type(partition)
opts = {'func': likelihood,
'x0': partition,
'args': [scorer],
'schedule': 'cluster',
'full_output': 1,
'T0': 100000,
'Tf': 1,
'maxeval': None,
'maxaccept': None,
'maxiter': 400,
'boltzmann': 1.0,
'learn_rate': 0.5,
'feps': 1e-6,
'quench': 1.0,
'm': 1.0,
'n': 1.0,
'lower': -100,
'upper': 100,
'dwell': 50,
'disp': True,
}
res = anneal(**opts)
pickle.dumps(res, 'SA_results')
history = scorer.history()
pickle.dumps(history, 'SA_history')
