def __init__(self,
markov_chain_db: str,
head_db: str,
pmi_db: str,
logger=None):
Mod.__init__(self, logger)
self.markov_chain_db = markov_chain_db
self.head_db = head_db
self.gen = MarkovChain(self.markov_chain_db)
self.hs = HeadSelector(self.head_db, pmi_db)
def __init__(
self,
filename: str=None,
logger=None
):
Mod.__init__(self, logger)
self.dict_path = filename or os.path.join(
os.path.abspath(os.path.dirname(__file__)),
"pattern_dict.txt"
)
self.re_text_lst = self.load_dict()
def __init__(
self,
markov_chain_db: str,
head_db: str,
pmi_db: str,
logger=None
):
Mod.__init__(self, logger)
self.markov_chain_db = markov_chain_db
self.head_db = head_db
self.gen = MarkovChain(self.markov_chain_db)
self.hs = HeadSelector(self.head_db, pmi_db)
def __init__(
self,
filename: str=None,
train: bool=False,
logger=None
):
Mod.__init__(self, logger)
self.dict_path = filename or os.path.join(
os.path.abspath(os.path.dirname(__file__)),
"random_dict.txt"
)
self.is_train = train
self.random_texts = self.load_dict()