AutoAndroidController/py/venv/Lib/site-packages/tokenizers/pre_tokenizers/__init__.pyi

# Generated content DO NOT EDIT
class PreTokenizer:
    """
    Base class for all pre-tokenizers

    This class is not supposed to be instantiated directly. Instead, any implementation of a
    PreTokenizer will return an instance of this class when instantiated.
    """
    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class BertPreTokenizer(PreTokenizer):
    """
    BertPreTokenizer

    This pre-tokenizer splits tokens on spaces, and also on punctuation.
    Each occurrence of a punctuation character will be treated separately.
    """
    def __init__(self):
        pass

    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class ByteLevel(PreTokenizer):
    """
    ByteLevel PreTokenizer

    This pre-tokenizer takes care of replacing all bytes of the given string
    with a corresponding representation, as well as splitting into words.

    Args:
        add_prefix_space (:obj:`bool`, `optional`, defaults to :obj:`True`):
            Whether to add a space to the first word if there isn't already one. This
            lets us treat `hello` exactly like `say hello`.
        use_regex (:obj:`bool`, `optional`, defaults to :obj:`True`):
            Set this to :obj:`False` to prevent this `pre_tokenizer` from using
            the GPT2 specific regexp for spliting on whitespace.
    """
    def __init__(self, add_prefix_space=True, use_regex=True):
        pass

    @staticmethod
    def alphabet():
        """
        Returns the alphabet used by this PreTokenizer.

        Since the ByteLevel works as its name suggests, at the byte level, it
        encodes each byte value to a unique visible character. This means that there is a
        total of 256 different characters composing this alphabet.

        Returns:
            :obj:`List[str]`: A list of characters that compose the alphabet
        """
        pass

    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class CharDelimiterSplit(PreTokenizer):
    """
    This pre-tokenizer simply splits on the provided char. Works like `.split(delimiter)`

    Args:
        delimiter: str:
            The delimiter char that will be used to split input
    """
    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class Digits(PreTokenizer):
    """
    This pre-tokenizer simply splits using the digits in separate tokens

    Args:
        individual_digits (:obj:`bool`, `optional`, defaults to :obj:`False`):
            If set to True, digits will each be separated as follows::

                "Call 123 please" -> "Call ", "1", "2", "3", " please"

            If set to False, digits will grouped as follows::

                "Call 123 please" -> "Call ", "123", " please"
    """
    def __init__(self, individual_digits=False):
        pass

    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class FixedLength(PreTokenizer):
    """
    This pre-tokenizer splits the text into fixed length chunks as used
    [here](https://www.biorxiv.org/content/10.1101/2023.01.11.523679v1.full)

    Args:
        length (:obj:`int`, `optional`, defaults to :obj:`5`):
            The length of the chunks to split the text into.

            Strings are split on the character level rather than the byte level to avoid
            splitting unicode characters consisting of multiple bytes.
    """
    def __init__(self, length=5):
        pass

    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class Metaspace(PreTokenizer):
    """
    Metaspace pre-tokenizer

    This pre-tokenizer replaces any whitespace by the provided replacement character.
    It then tries to split on these spaces.

    Args:
        replacement (:obj:`str`, `optional`, defaults to :obj:`▁`):
            The replacement character. Must be exactly one character. By default we
            use the `▁` (U+2581) meta symbol (Same as in SentencePiece).

        prepend_scheme (:obj:`str`, `optional`, defaults to :obj:`"always"`):
            Whether to add a space to the first word if there isn't already one. This
            lets us treat `hello` exactly like `say hello`.
            Choices: "always", "never", "first". First means the space is only added on the first
            token (relevant when special tokens are used or other pre_tokenizer are used).

    """
    def __init__(self, replacement="_", prepend_scheme="always", split=True):
        pass

    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class Punctuation(PreTokenizer):
    """
    This pre-tokenizer simply splits on punctuation as individual characters.

    Args:
        behavior (:class:`~tokenizers.SplitDelimiterBehavior`):
            The behavior to use when splitting.
            Choices: "removed", "isolated" (default), "merged_with_previous", "merged_with_next",
            "contiguous"
    """
    def __init__(self, behavior="isolated"):
        pass

    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class Sequence(PreTokenizer):
    """
    This pre-tokenizer composes other pre_tokenizers and applies them in sequence
    """
    def __init__(self, pretokenizers):
        pass

    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class Split(PreTokenizer):
    """
    Split PreTokenizer

    This versatile pre-tokenizer splits using the provided pattern and
    according to the provided behavior. The pattern can be inverted by
    making use of the invert flag.

    Args:
        pattern (:obj:`str` or :class:`~tokenizers.Regex`):
            A pattern used to split the string. Usually a string or a regex built with `tokenizers.Regex`.
            If you want to use a regex pattern, it has to be wrapped around a `tokenizers.Regex`,
            otherwise we consider is as a string pattern. For example `pattern="|"`
            means you want to split on `|` (imagine a csv file for example), while
            `pattern=tokenizers.Regex("1|2")` means you split on either '1' or '2'.
        behavior (:class:`~tokenizers.SplitDelimiterBehavior`):
            The behavior to use when splitting.
            Choices: "removed", "isolated", "merged_with_previous", "merged_with_next",
            "contiguous"

        invert (:obj:`bool`, `optional`, defaults to :obj:`False`):
            Whether to invert the pattern.
    """
    def __init__(self, pattern, behavior, invert=False):
        pass

    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class UnicodeScripts(PreTokenizer):
    """
    This pre-tokenizer splits on characters that belong to different language family
    It roughly follows https://github.com/google/sentencepiece/blob/master/data/Scripts.txt
    Actually Hiragana and Katakana are fused with Han, and 0x30FC is Han too.
    This mimicks SentencePiece Unigram implementation.
    """
    def __init__(self):
        pass

    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class Whitespace(PreTokenizer):
    """
    This pre-tokenizer splits on word boundaries according to the `\w+|[^\w\s]+`
    regex pattern. It splits on word characters or characters that aren't words or
    whitespaces (punctuation such as hyphens, apostrophes, commas, etc.).

    Example:
        Use the `Whitespace` function as shown below::

            ```python
            from tokenizers.pre_tokenizers import Whitespace

            pre_tokenizer = Whitespace()
            text = "Hello, world! Let's try the Whitespace pre-tokenizer."
            pre_tokenizer.pre_tokenize_str(text)
            [('Hello', (0, 5)),
             (',', (5, 6)),
             ('world', (7, 12)),
             ('!', (12, 13)),
             ('Let', (14, 17)),
             ("'", (17, 18)),
             ('s', (18, 19)),
             ('try', (20, 23)),
             ('the', (24, 27)),
             ('Whitespace', (28, 38)),
             ('pre', (39, 42)),
             ('-', (42, 43)),
             ('tokenizer', (43, 52)),
             ('.', (52, 53))]
            ```
    """
    def __init__(self):
        pass

    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass

class WhitespaceSplit(PreTokenizer):
    """
    This pre-tokenizer simply splits on the whitespace. Works like `.split()`
    """
    def __init__(self):
        pass

    def pre_tokenize(self, pretok):
        """
        Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place

        This method allows to modify a :class:`~tokenizers.PreTokenizedString` to
        keep track of the pre-tokenization, and leverage the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of
        the pre-tokenization of a raw string, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str`

        Args:
            pretok (:class:`~tokenizers.PreTokenizedString):
                The pre-tokenized string on which to apply this
                :class:`~tokenizers.pre_tokenizers.PreTokenizer`
        """
        pass

    def pre_tokenize_str(self, sequence):
        """
        Pre tokenize the given string

        This method provides a way to visualize the effect of a
        :class:`~tokenizers.pre_tokenizers.PreTokenizer` but it does not keep track of the
        alignment, nor does it provide all the capabilities of the
        :class:`~tokenizers.PreTokenizedString`. If you need some of these, you can use
        :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize`

        Args:
            sequence (:obj:`str`):
                A string to pre-tokeize

        Returns:
            :obj:`List[Tuple[str, Offsets]]`:
                A list of tuple with the pre-tokenized parts and their offsets
        """
        pass