

import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_deberta import DebertaTokenizer


if TYPE_CHECKING:
       from transformers.pipelines.conversational import Conversation


A_						:     Dict			  =				logging.get_logger(__name__)

A_						:     Union[str, Any]			  =				{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

A_						:     Dict			  =				{
    'vocab_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt'
        ),
    },
}

A_						:     str			  =				{
    'microsoft/deberta-base': 512,
    'microsoft/deberta-large': 512,
    'microsoft/deberta-xlarge': 512,
    'microsoft/deberta-base-mnli': 512,
    'microsoft/deberta-large-mnli': 512,
    'microsoft/deberta-xlarge-mnli': 512,
}

A_						:     List[Any]			  =				{
    'microsoft/deberta-base': {'do_lower_case': False},
    'microsoft/deberta-large': {'do_lower_case': False},
}
class    A_				( _a  ):


    '''simple docstring'''






    a__       							=    VOCAB_FILES_NAMES
    a__       							=    PRETRAINED_VOCAB_FILES_MAP
    a__       							=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a__       							=    ["input_ids", "attention_mask", "token_type_ids"]
    a__       							=    DebertaTokenizer


    def __init__(self       , lowercase__=None       , lowercase__=None       , lowercase__=None       , lowercase__="replace"       , lowercase__="[CLS]"       , lowercase__="[SEP]"       , lowercase__="[SEP]"       , lowercase__="[CLS]"       , lowercase__="[UNK]"       , lowercase__="[PAD]"       , lowercase__="[MASK]"       , lowercase__=False       , **lowercase__       , )       -> Optional[Any]:
        super().__init__(
            lowercase__       , lowercase__       , tokenizer_file=lowercase__       , errors=lowercase__       , bos_token=lowercase__       , eos_token=lowercase__       , unk_token=lowercase__       , sep_token=lowercase__       , cls_token=lowercase__       , pad_token=lowercase__       , mask_token=lowercase__       , add_prefix_space=lowercase__       , **lowercase__       , )
        __UpperCAmelCase			   =     kwargs.pop('''add_bos_token'''       , lowercase__					)

        __UpperCAmelCase			   =     json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()					)
        if pre_tok_state.get('''add_prefix_space'''       , lowercase__					) != add_prefix_space:
            __UpperCAmelCase			   =     getattr(lowercase__       , pre_tok_state.pop('''type'''					)					)
            __UpperCAmelCase			   =     add_prefix_space
            __UpperCAmelCase			   =     pre_tok_class(**lowercase__					)

        __UpperCAmelCase			   =     add_prefix_space


    @property
    def        lowerCAmelCase_  (self					)       -> str:
        if self._mask_token is None:
            if self.verbose:
                logger.error('''Using mask_token, but it is not set yet.'''					)
            return None
        return str(self._mask_token					)


    @mask_token.setter
    def        lowerCAmelCase_  (self       , lowercase__					)       -> str:
        __UpperCAmelCase			   =     AddedToken(lowercase__       , lstrip=lowercase__       , rstrip=lowercase__					) if isinstance(lowercase__       , lowercase__					) else value
        __UpperCAmelCase			   =     value


    def        lowerCAmelCase_  (self       , lowercase__       , lowercase__ = None					)       -> List[int]:
        if token_ids_a is None:
            return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        __UpperCAmelCase			   =     [self.cls_token_id]
        __UpperCAmelCase			   =     [self.sep_token_id]
        return cls + token_ids_a + sep + token_ids_a + sep


    def        lowerCAmelCase_  (self       , lowercase__       , lowercase__ = None					)       -> List[int]:
        __UpperCAmelCase			   =     [self.sep_token_id]
        __UpperCAmelCase			   =     [self.cls_token_id]

        if token_ids_a is None:
            return len(cls + token_ids_a + sep					) * [0]
        return len(cls + token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]


    def        lowerCAmelCase_  (self       , *lowercase__       , **lowercase__					)       -> BatchEncoding:
        __UpperCAmelCase			   =     kwargs.get('''is_split_into_words'''       , lowercase__					)
        assert self.add_prefix_space or not is_split_into_words, (
            F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            "to use it with pretokenized inputs."
        )

        return super()._batch_encode_plus(*lowercase__       , **lowercase__					)


    def        lowerCAmelCase_  (self       , *lowercase__       , **lowercase__					)       -> BatchEncoding:
        __UpperCAmelCase			   =     kwargs.get('''is_split_into_words'''       , lowercase__					)

        assert self.add_prefix_space or not is_split_into_words, (
            F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            "to use it with pretokenized inputs."
        )

        return super()._encode_plus(*lowercase__       , **lowercase__					)


    def        lowerCAmelCase_  (self       , lowercase__       , lowercase__ = None					)       -> Tuple[str]:
        __UpperCAmelCase			   =     self._tokenizer.model.save(lowercase__       , name=lowercase__					)
        return tuple(lowercase__					)






    def        lowerCAmelCase_  (self       , lowercase__					)       -> List[int]:
        __UpperCAmelCase			   =     []
        for is_user, text in conversation.iter_texts():
            input_ids.extend(self.encode(lowercase__       , add_special_tokens=lowercase__					) + [self.eos_token_id]					)

        if len(lowercase__					) > self.model_max_length:
            __UpperCAmelCase			   =     input_ids[-self.model_max_length :]
        return input_ids







from __future__ import annotations


def  __a    (				SCREAMING_SNAKE_CASE ) ->       list[int]:






    '''simple docstring'''
    if not list_of_ints:
        return []

    if min(SCREAMING_SNAKE_CASE ) < 0:
        raise ValueError('''All numbers must be positive''' )

    __UpperCAmelCase			   =     max(len(bin(SCREAMING_SNAKE_CASE )[2:] ) for x in list_of_ints )
    return _msd_radix_sort(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE )


def  __a    (				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE ) ->       list[int]:






    '''simple docstring'''
    if bit_position == 0 or len(SCREAMING_SNAKE_CASE ) in [0, 1]:
        return list_of_ints

    __UpperCAmelCase			   =     []
    __UpperCAmelCase			   =     []
    # Split numbers based on bit at bit_position from the right
    for number in list_of_ints:
        if (number >> (bit_position - 1)) & 1:
            # number has a one at bit bit_position
            ones.append(SCREAMING_SNAKE_CASE )
        else:
            # number has a zero at bit bit_position
            zeros.append(SCREAMING_SNAKE_CASE )

    # recursively split both lists further
    __UpperCAmelCase			   =     _msd_radix_sort(SCREAMING_SNAKE_CASE    ,				bit_position - 1 )
    __UpperCAmelCase			   =     _msd_radix_sort(SCREAMING_SNAKE_CASE    ,				bit_position - 1 )

    # recombine lists
    __UpperCAmelCase			   =     zeros
    res.extend(SCREAMING_SNAKE_CASE )

    return res


def  __a    (				SCREAMING_SNAKE_CASE ) ->       Optional[int]:






    '''simple docstring'''
    __UpperCAmelCase			   =     len(SCREAMING_SNAKE_CASE )
    if not list_of_ints or length == 1:
        return

    if min(SCREAMING_SNAKE_CASE ) < 0:
        raise ValueError('''All numbers must be positive''' )

    __UpperCAmelCase			   =     max(len(bin(SCREAMING_SNAKE_CASE )[2:] ) for x in list_of_ints )
    _msd_radix_sort_inplace(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				0    ,				SCREAMING_SNAKE_CASE )


def  __a    (				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE ) ->       int:






    '''simple docstring'''
    if bit_position == 0 or end_index - begin_index <= 1:
        return

    bit_position -= 1

    __UpperCAmelCase			   =     begin_index
    __UpperCAmelCase			   =     end_index - 1
    while i <= j:
        __UpperCAmelCase			   =     False
        if not (list_of_ints[i] >> bit_position) & 1:
            # found zero at the beginning
            i += 1
            __UpperCAmelCase			   =     True
        if (list_of_ints[j] >> bit_position) & 1:
            # found one at the end
            j -= 1
            __UpperCAmelCase			   =     True

        if changed:
            continue

        __UpperCAmelCase   ,       __UpperCAmelCase			   =     list_of_ints[j], list_of_ints[i]
        j -= 1
        if j != i:
            i += 1

    _msd_radix_sort_inplace(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE )
    _msd_radix_sort_inplace(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE )


if __name__ == "__main__":
       import doctest

       doctest.testmod()




