Module livekit.agents.tokenize.basic

def hyphenate_word(word: str) -> list[str]:
    return _basic_hyphenator.hyphenate_word(word)

def tokenize_paragraphs(text: str) -> list[str]:
    return [tok[0] for tok in _basic_paragraph.split_paragraphs(text)]

class SentenceTokenizer(tokenizer.SentenceTokenizer):
    def __init__(
        self,
        *,
        language: str = "english",
        min_sentence_len: int = 20,
        stream_context_len: int = 10,
        retain_format: bool = False,
    ) -> None:
        self._config = _TokenizerOptions(
            language=language,
            min_sentence_len=min_sentence_len,
            stream_context_len=stream_context_len,
            retain_format=retain_format,
        )

    def tokenize(self, text: str, *, language: str | None = None) -> list[str]:
        return [
            tok[0]
            for tok in _basic_sent.split_sentences(
                text,
                min_sentence_len=self._config.min_sentence_len,
                retain_format=self._config.retain_format,
            )
        ]

    def stream(self, *, language: str | None = None) -> tokenizer.SentenceStream:
        return token_stream.BufferedSentenceStream(
            tokenizer=functools.partial(
                _basic_sent.split_sentences,
                min_sentence_len=self._config.min_sentence_len,
                retain_format=self._config.retain_format,
            ),
            min_token_len=self._config.min_sentence_len,
            min_ctx_len=self._config.stream_context_len,
        )

class WordTokenizer(tokenizer.WordTokenizer):
    def __init__(self, *, ignore_punctuation: bool = True, split_character: bool = False) -> None:
        self._ignore_punctuation = ignore_punctuation
        self._split_character = split_character

    def tokenize(self, text: str, *, language: str | None = None) -> list[str]:
        return [
            tok[0]
            for tok in _basic_word.split_words(
                text,
                ignore_punctuation=self._ignore_punctuation,
                split_character=self._split_character,
            )
        ]

    def stream(self, *, language: str | None = None) -> tokenizer.WordStream:
        return token_stream.BufferedWordStream(
            tokenizer=functools.partial(
                _basic_word.split_words,
                ignore_punctuation=self._ignore_punctuation,
                split_character=self._split_character,
            ),
            min_token_len=1,
            min_ctx_len=1,  # ignore
        )