




import os
from shutil import copyfile
from typing import Optional, Tuple

from ...file_utils import is_sentencepiece_available
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if is_sentencepiece_available():
 from .tokenization_deberta_va import DebertaVaTokenizer
else:
 _lowerCamelCase			 =						None

_lowerCamelCase			 =						logging.get_logger(__name__)

_lowerCamelCase			 =						{'vocab_file': 'spm.model', 'tokenizer_file': 'tokenizer.json'}

_lowerCamelCase			 =						{
    'vocab_file': {
        'microsoft/deberta-v2-xlarge': 'https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/spm.model',
        'microsoft/deberta-v2-xxlarge': 'https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/spm.model',
        'microsoft/deberta-v2-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/spm.model'
        ),
        'microsoft/deberta-v2-xxlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/spm.model'
        ),
    }
}

_lowerCamelCase			 =						{
    'microsoft/deberta-v2-xlarge': 5_12,
    'microsoft/deberta-v2-xxlarge': 5_12,
    'microsoft/deberta-v2-xlarge-mnli': 5_12,
    'microsoft/deberta-v2-xxlarge-mnli': 5_12,
}

_lowerCamelCase			 =						{
    'microsoft/deberta-v2-xlarge': {'do_lower_case': False},
    'microsoft/deberta-v2-xxlarge': {'do_lower_case': False},
    'microsoft/deberta-v2-xlarge-mnli': {'do_lower_case': False},
    'microsoft/deberta-v2-xxlarge-mnli': {'do_lower_case': False},
}



class 			a     (   _A			):

     '''simple docstring'''





     lowerCAmelCase				:       Optional[int]   		=  VOCAB_FILES_NAMES
     lowerCAmelCase				:       int   		=  PRETRAINED_VOCAB_FILES_MAP
     lowerCAmelCase				:       Tuple   		=  PRETRAINED_INIT_CONFIGURATION
     lowerCAmelCase				:       int   		=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCAmelCase				:       Tuple   		=  DebertaVaTokenizer
     def __init__(	self   :			Optional[Any]					,    __snake_case   :			Optional[Any]=None					,    __snake_case   :			Dict=None					,    __snake_case   :			Dict=False					,    __snake_case   :			Tuple=False					,    __snake_case   :			Tuple="[CLS]"					,    __snake_case   :			Any="[SEP]"					,    __snake_case   :			Dict="[UNK]"					,    __snake_case   :			int="[SEP]"					,    __snake_case   :			Any="[PAD]"					,    __snake_case   :			int="[CLS]"					,    __snake_case   :			List[str]="[MASK]"					,    **__snake_case   :			int					,    ):
         super().__init__(
             __snake_case					,    tokenizer_file=__snake_case					,    do_lower_case=__snake_case					,    bos_token=__snake_case					,    eos_token=__snake_case					,    unk_token=__snake_case					,    sep_token=__snake_case					,    pad_token=__snake_case					,    cls_token=__snake_case					,    mask_token=__snake_case					,    split_by_punct=__snake_case					,    **__snake_case					,    )

         UpperCAmelCase_							 =     do_lower_case
         UpperCAmelCase_							 =     split_by_punct
         UpperCAmelCase_							 =     vocab_file
         UpperCAmelCase_							 =     False if not self.vocab_file else True
     def   lowerCamelCase_   (	self   :			Optional[int]					,    __snake_case   :			Any					,    __snake_case   :			List[Any]=None				):

         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   :			List[Any]					,    __snake_case   :			str					,    __snake_case   :			Tuple=None					,    __snake_case   :			Dict=False				):

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

         if token_ids_a is not None:
             return [1] + ([0] * len(__snake_case				)) + [1] + ([0] * len(__snake_case				)) + [1]
         return [1] + ([0] * len(__snake_case				)) + [1]
     def   lowerCamelCase_   (	self   :			Dict					,    __snake_case   :			str					,    __snake_case   :			List[Any]=None				):
         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   :			Optional[int]					,    __snake_case   :			str					,    __snake_case   :			Optional[str] = None				):
         if not self.can_save_slow_tokenizer:
             raise ValueError(
                 '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
                 '''tokenizer.'''				)

         if not os.path.isdir(__snake_case				):
             logger.error(F'Vocabulary path ({save_directory}) should be a directory'				)
             return
         UpperCAmelCase_							 =     os.path.join(
             __snake_case					,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)

         if os.path.abspath(self.vocab_file				) != os.path.abspath(__snake_case				):
             copyfile(self.vocab_file					,    __snake_case				)

         return (out_vocab_file,)











def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						str      )  ->							int:
    UpperCAmelCase_							 =     5381
    for x in s:
        UpperCAmelCase_							 =     ((hash_value << 5) + hash_value) + ord(__UpperCamelCase      )
    return hash_value & 0xffff_ffff





