from markovx.model import MarkovModel
    
mx = MarkovModel()
mx.add_one('123456')
mx.add_one('qwerty')
mx.add_many(['admin', 'root', 'user'])

mx.generate(10) # len of tokens in chain

mx.generate(10, random_init=True)
# when True first token in chain would be assigned randomly
# when False first token would be assigned based on observed firs tokens
# default to False

mx.generate(10, smart_ending=False)
# when False chain wouldn't be terminated before len(chain) == n even if model got to an end token
# when True if model got to an end token while len(chain) < n chain would terminate
# default to True