'''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': 512,
    'microsoft/deberta-v2-xxlarge': 512,
    'microsoft/deberta-v2-xlarge-mnli': 512,
    'microsoft/deberta-v2-xxlarge-mnli': 512,
}

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 		SCREAMING_SNAKE_CASE_					(__UpperCAmelCase      ):



			"""simple docstring"""






			__magic_name__ :				int   							=       VOCAB_FILES_NAMES
			__magic_name__ :				str   							=       PRETRAINED_VOCAB_FILES_MAP
			__magic_name__ :				Tuple   							=       PRETRAINED_INIT_CONFIGURATION
			__magic_name__ :				List[str]   							=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__magic_name__ :				List[str]   							=       DebertaVaTokenizer



			def __init__(							self				,			snake_case_=None				,			snake_case_=None				,			snake_case_=False				,			snake_case_=False				,			snake_case_="[CLS]"				,			snake_case_="[SEP]"				,			snake_case_="[UNK]"				,			snake_case_="[SEP]"				,			snake_case_="[PAD]"				,			snake_case_="[CLS]"				,			snake_case_="[MASK]"				,			**snake_case_				,			):
									super().__init__(
									    _lowerCamelCase				,			tokenizer_file=_lowerCamelCase				,			do_lower_case=_lowerCamelCase				,			bos_token=_lowerCamelCase				,			eos_token=_lowerCamelCase				,			unk_token=_lowerCamelCase				,			sep_token=_lowerCamelCase				,			pad_token=_lowerCamelCase				,			cls_token=_lowerCamelCase				,			mask_token=_lowerCamelCase				,			split_by_punct=_lowerCamelCase				,			**_lowerCamelCase				,			)

									snake_case :       List[str]				=    do_lower_case
									snake_case :       Optional[int]				=    split_by_punct
									snake_case :       Any				=    vocab_file
									snake_case :       Union[str, Any]				=    False if not self.vocab_file else True



			def   lowerCamelCase (							self				,			snake_case_				,			snake_case_=None					):

									if token_ids_a is None:
															return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									snake_case :       List[str]				=    [self.cls_token_id]
									snake_case :       int				=    [self.sep_token_id]
									return cls + token_ids_a + sep + token_ids_a + sep



			def   lowerCamelCase (							self				,			snake_case_				,			snake_case_=None				,			snake_case_=False					):

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

									if token_ids_a is not None:
															return [1] + ([0] * len(_lowerCamelCase					)) + [1] + ([0] * len(_lowerCamelCase					)) + [1]
									return [1] + ([0] * len(_lowerCamelCase					)) + [1]



			def   lowerCamelCase (							self				,			snake_case_				,			snake_case_=None					):
									snake_case :       int				=    [self.sep_token_id]
									snake_case :       str				=    [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				,			snake_case_				,			snake_case_ = 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(_lowerCamelCase					):
															logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""					)
															return
									snake_case :       Dict				=    os.path.join(
									    _lowerCamelCase				,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]					)

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

									return (out_vocab_file,)











"""simple docstring"""

def 		lowercase_   (		_UpperCAmelCase	,   _UpperCAmelCase						):




	"""simple docstring"""






	return a + b


if __name__ == "__main__":
		_lowerCamelCase	:      Tuple   =							5
		_lowerCamelCase	:      Union[str, Any]   =							6
		print(f'The sum of {a} + {b} is {add(a, b)}')





