





from typing import Dict, List, Optional

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_A					:				Union[str, Any]				=			logging.get_logger(__name__)


_A					:				Optional[int]				=			{
    """nielsr/canine-s""": 20_48,
}

# Unicode defines 1,114,112 total “codepoints”
_A					:				Optional[Any]				=			1_11_41_12

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
_A					:				Tuple				=			0

_A					:				str				=			0XE_0_0_0
_A					:				Optional[int]				=			0XE_0_0_1
_A					:				Optional[Any]				=			0XE_0_0_2
_A					:				Dict				=			0XE_0_0_3
_A					:				str				=			0XE_0_0_4

# Maps special codepoints to human-readable names.
_A					:				Dict[int, str]				=			{
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
_A					:				Dict[str, int]				=			{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}



class 					__snake_case	(  __SCREAMING_SNAKE_CASE    ):


    '''simple docstring'''







    lowerCamelCase__    :		List[Any]				=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



    def __init__(       self   ,				A_=chr(A_     )   ,				A_=chr(A_     )   ,				A_=chr(A_     )   ,				A_=chr(A_     )   ,				A_=chr(A_     )   ,				A_=chr(A_     )   ,				A_=False   ,				A_=20_48   ,				**A_   ,				):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			AddedToken(A_   ,				lstrip=A_   ,				rstrip=A_     ) if isinstance(A_   ,				A_     ) else bos_token
        SCREAMING_SNAKE_CASE__											=			AddedToken(A_   ,				lstrip=A_   ,				rstrip=A_     ) if isinstance(A_   ,				A_     ) else eos_token
        SCREAMING_SNAKE_CASE__											=			AddedToken(A_   ,				lstrip=A_   ,				rstrip=A_     ) if isinstance(A_   ,				A_     ) else sep_token
        SCREAMING_SNAKE_CASE__											=			AddedToken(A_   ,				lstrip=A_   ,				rstrip=A_     ) if isinstance(A_   ,				A_     ) else cls_token
        SCREAMING_SNAKE_CASE__											=			AddedToken(A_   ,				lstrip=A_   ,				rstrip=A_     ) if isinstance(A_   ,				A_     ) else pad_token

        # Mask token behave like a normal word, i.e. include the space before it
        SCREAMING_SNAKE_CASE__											=			AddedToken(A_   ,				lstrip=A_   ,				rstrip=A_     ) if isinstance(A_   ,				A_     ) else mask_token

        super().__init__(
            bos_token=A_   ,				eos_token=A_   ,				sep_token=A_   ,				cls_token=A_   ,				pad_token=A_   ,				mask_token=A_   ,				add_prefix_space=A_   ,				model_max_length=A_   ,				**A_   ,				)

        # Creates a mapping for looking up the IDs of special symbols.
        SCREAMING_SNAKE_CASE__											=			{}
        for codepoint, name in SPECIAL_CODEPOINTS.items():
            SCREAMING_SNAKE_CASE__											=			codepoint

        # Creates a mapping for looking up the string forms of special symbol IDs.
        SCREAMING_SNAKE_CASE__											=			{
            codepoint: name for name, codepoint in self._special_codepoints.items()
        }

        SCREAMING_SNAKE_CASE__											=			UNICODE_VOCAB_SIZE
        SCREAMING_SNAKE_CASE__											=			len(self._special_codepoints     )



    @property
    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self._unicode_vocab_size



    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

        return list(A_     )



    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

        try:
            return ord(A_     )
        except TypeError:
            raise ValueError(f'''invalid token: \'{token}\''''     )



    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

        try:
            if index in SPECIAL_CODEPOINTS:
                return SPECIAL_CODEPOINTS[index]
            return chr(A_     )
        except TypeError:
            raise ValueError(f'''invalid id: {index}'''     )



    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

        return "".join(A_     )



    def  lowercase_					(       self   ,				A_   ,				A_ = None     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			[self.sep_token_id]
        SCREAMING_SNAKE_CASE__											=			[self.cls_token_id]

        SCREAMING_SNAKE_CASE__											=			cls + token_ids_a + sep
        if token_ids_a is not None:
            result += token_ids_a + sep
        return result



    def  lowercase_					(       self   ,				A_   ,				A_ = None   ,				A_ = False     ):





        '''simple docstring'''

        if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=A_   ,				token_ids_a=A_   ,				already_has_special_tokens=A_     )

        SCREAMING_SNAKE_CASE__											=			[1] + ([0] * len(A_     )) + [1]
        if token_ids_a is not None:
            result += ([0] * len(A_     )) + [1]
        return result



    def  lowercase_					(       self   ,				A_   ,				A_ = None     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			[self.sep_token_id]
        SCREAMING_SNAKE_CASE__											=			[self.cls_token_id]

        SCREAMING_SNAKE_CASE__											=			len(cls + token_ids_a + sep     ) * [0]
        if token_ids_a is not None:
            result += len(token_ids_a + sep     ) * [1]
        return result




    def  lowercase_					(       self   ,				A_   ,				A_ = None     ):





        '''simple docstring'''

        return ()







import re

from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P


# Sentinels
_A					:				Optional[int]				=			object()

# For specifying empty leaf dict `{}`
_A					:				Tuple				=			object()


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Dict:
    SCREAMING_SNAKE_CASE__											=			tuple((re.compile(x + '''$'''	) for x in qs)	)
    for i in range(len(lowerCAmelCase_	) - len(lowerCAmelCase_	) + 1	):
        SCREAMING_SNAKE_CASE__											=			[x.match(lowerCAmelCase_	) for x, y in zip(lowerCAmelCase_ ,							ks[i:]	)]
        if matches and all(lowerCAmelCase_	):
            return True
    return False


def 							__snake_case							(    lowerCAmelCase_	)				->						int:
    def replace(lowerCAmelCase_ ,							lowerCAmelCase_	):
        for rule, replacement in rules:
            if _match(lowerCAmelCase_ ,							lowerCAmelCase_	):
                return replacement
        return val

    return replace


def 							__snake_case							(    )				->						Optional[int]:
    return [
        # embeddings
        (("transformer", "wpe", "embedding"), P('''mp''' ,							lowerCAmelCase_	)),
        (("transformer", "wte", "embedding"), P('''mp''' ,							lowerCAmelCase_	)),
        # atention
        (("attention", "(q_proj|k_proj|v_proj)", "kernel"), P(lowerCAmelCase_ ,							'''mp'''	)),
        (("attention", "out_proj", "kernel"), P('''mp''' ,							lowerCAmelCase_	)),
        (("attention", "out_proj", "bias"), None),
        # mlp
        (("mlp", "c_fc", "kernel"), P(lowerCAmelCase_ ,							'''mp'''	)),
        (("mlp", "c_fc", "bias"), P('''mp'''	)),
        (("mlp", "c_proj", "kernel"), P('''mp''' ,							lowerCAmelCase_	)),
        (("mlp", "c_proj", "bias"), None),
        # layer norms
        ((r"ln_\d+", "bias"), None),
        ((r"\d+", r"ln_\d+", "scale"), None),
        (("ln_f", "bias"), None),
        (("ln_f", "scale"), None),
    ]



def 							__snake_case							(    lowerCAmelCase_	)				->						Optional[Any]:
    SCREAMING_SNAKE_CASE__											=			_get_partition_rules()
    SCREAMING_SNAKE_CASE__											=			_replacement_rules(lowerCAmelCase_	)
    SCREAMING_SNAKE_CASE__											=			{k: _unmatched for k in flatten_dict(lowerCAmelCase_	)}
    SCREAMING_SNAKE_CASE__											=			{k: replace(lowerCAmelCase_ ,							lowerCAmelCase_	) for k, v in initd.items()}
    assert _unmatched not in result.values(), "Incomplete partition spec."
    return freeze(unflatten_dict(lowerCAmelCase_	)	)
