




"""simple docstring"""




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:
			a_            =   None

a_            =   logging.get_logger(__name__)

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

a_            =   {
    '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'
        ),
    }
}

a_            =   {
    'microsoft/deberta-v2-xlarge': 5_1_2,
    'microsoft/deberta-v2-xxlarge': 5_1_2,
    'microsoft/deberta-v2-xlarge-mnli': 5_1_2,
    'microsoft/deberta-v2-xxlarge-mnli': 5_1_2,
}

a_            =   {
    '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        UpperCAmelCase_  (	snake_case						):
		UpperCamelCase									=VOCAB_FILES_NAMES
		UpperCamelCase									=PRETRAINED_VOCAB_FILES_MAP
		UpperCamelCase									=PRETRAINED_INIT_CONFIGURATION
		UpperCamelCase									=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		UpperCamelCase									=DebertaVaTokenizer
		def __init__(		self							,		UpperCamelCase_=None							,		UpperCamelCase_=None							,		UpperCamelCase_=False							,		UpperCamelCase_=False							,		UpperCamelCase_="[CLS]"							,		UpperCamelCase_="[SEP]"							,		UpperCamelCase_="[UNK]"							,		UpperCamelCase_="[SEP]"							,		UpperCamelCase_="[PAD]"							,		UpperCamelCase_="[CLS]"							,		UpperCamelCase_="[MASK]"							,		**UpperCamelCase_							,		)		->   None:
					super().__init__(
					    UpperCamelCase_							,		tokenizer_file=UpperCamelCase_							,		do_lower_case=UpperCamelCase_							,		bos_token=UpperCamelCase_							,		eos_token=UpperCamelCase_							,		unk_token=UpperCamelCase_							,		sep_token=UpperCamelCase_							,		pad_token=UpperCamelCase_							,		cls_token=UpperCamelCase_							,		mask_token=UpperCamelCase_							,		split_by_punct=UpperCamelCase_							,		**UpperCamelCase_							,		)

					__lowercase	:       Any				=   do_lower_case
					__lowercase	:       str				=   split_by_punct
					__lowercase	:       List[Any]				=   vocab_file
					__lowercase	:       Any				=   False if not self.vocab_file else True
		def 					_lowerCamelCase    (		self							,		UpperCamelCase_							,		UpperCamelCase_=None   )		->   Optional[Any]:

					if token_ids_a is None:
								return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					__lowercase	:       Dict				=   [self.cls_token_id]
					__lowercase	:       List[str]				=   [self.sep_token_id]
					return cls + token_ids_a + sep + token_ids_a + sep
		def 					_lowerCamelCase    (		self							,		UpperCamelCase_							,		UpperCamelCase_=None							,		UpperCamelCase_=False   )		->   str:

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

					if token_ids_a is not None:
								return [1] + ([0] * len(UpperCamelCase_   )) + [1] + ([0] * len(UpperCamelCase_   )) + [1]
					return [1] + ([0] * len(UpperCamelCase_   )) + [1]
		def 					_lowerCamelCase    (		self							,		UpperCamelCase_							,		UpperCamelCase_=None   )		->   Any:
					__lowercase	:       str				=   [self.sep_token_id]
					__lowercase	:       Tuple				=   [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							,		UpperCamelCase_							,		UpperCamelCase_ = None   )		->   Tuple[str]:
					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(UpperCamelCase_   ):
								logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
								return
					__lowercase	:       Dict				=   os.path.join(
					    UpperCamelCase_							,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )

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

					return (out_vocab_file,)









"""simple docstring"""




def       __UpperCAmelCase      (				__UpperCamelCase					):
			if len(__UpperCamelCase					) <= 1:
						return data
			else:
						return [
						    *quick_sort([e for e in data[1:] if e <= data[0]]					),
						    data[0],
						    *quick_sort([e for e in data[1:] if e > data[0]]					),
						]


if __name__ == "__main__":
			import doctest

			doctest.testmod()



