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def __init__(self):

    self.word_pairs = defaultdict(list)

    self.vocab = self.load_vocab('chinese_vocab.txt')

def load_vocab(self, file):

    # 加载百万级词库（示例）

    with open(file, 'r', encoding='utf-8') as f:

        return [line.strip() for line in f]

def train(self, text, window=3):

    words = list(jieba.cut(text))

    for i in range(len(words)-window):

        context = tuple(words[i:i+window])

        next_word = words[i+window]

        self.word_pairs[context].append(next_word)

def generate(self, length=5000):

    context = random.choice(list(self.word_pairs.keys()))

    article = list(context)

    for _ in range(length):

        next_word = random.choices(

            self.word_pairs[context],

            weights=self._get_weights(context)

        )[0]

        article.append(next_word)

        context = tuple(article[-len(context):])

    return ''.join(article)

def _get_weights(self, context):

    # 动态权重调整算法

    return [1 + random.uniform(-0.2, 0.2) for _ in self.word_pairs[context]]

def __init__(self):

    self.word_pairs = defaultdict(list)

    self.vocab = self.load_vocab('chinese_vocab.txt')

def load_vocab(self, file):

    # 加载百万级词库（示例）

    with open(file, 'r', encoding='utf-8') as f:

        return [line.strip() for line in f]

def train(self, text, window=3):

    words = list(jieba.cut(text))

    for i in range(len(words)-window):

        context = tuple(words[i:i+window])

        next_word = words[i+window]

        self.word_pairs[context].append(next_word)

def generate(self, length=5000):

    context = random.choice(list(self.word_pairs.keys()))

    article = list(context)

    for _ in range(length):

        next_word = random.choices(

            self.word_pairs[context],

            weights=self._get_weights(context)

        )[0]

        article.append(next_word)

        context = tuple(article[-len(context):])

    return ''.join(article)

def _get_weights(self, context):

    # 动态权重调整算法

    return [1 + random.uniform(-0.2, 0.2) for _ in self.word_pairs[context]]

def __init__(self):

    self.word_pairs = defaultdict(list)

    self.vocab = self.load_vocab('chinese_vocab.txt')

def load_vocab(self, file):

    # 加载百万级词库（示例）

    with open(file, 'r', encoding='utf-8') as f:

        return [line.strip() for line in f]

def train(self, text, window=3):

    words = list(jieba.cut(text))

    for i in range(len(words)-window):

        context = tuple(words[i:i+window])

        next_word = words[i+window]

        self.word_pairs[context].append(next_word)

def generate(self, length=5000):

    context = random.choice(list(self.word_pairs.keys()))

    article = list(context)

    for _ in range(length):

        next_word = random.choices(

            self.word_pairs[context],

            weights=self._get_weights(cont

        article.append(next_word)我我我我我我我我

• 辅导发

    return ''.ffd的的的的的的的的的的的的的的的的的的的的d的的的的的的的的ddff是的的的的的