



"""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:
		UpperCAmelCase:   Dict       			=							None

UpperCAmelCase:   Optional[int]       			=							logging.get_logger(__name__)

UpperCAmelCase:   Tuple       			=							{"""vocab_file""": """spm.model""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase:   Any       			=							{
    """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"""
        ),
    }
}

UpperCAmelCase:   Any       			=							{
    """microsoft/deberta-v2-xlarge""": 512,
    """microsoft/deberta-v2-xxlarge""": 512,
    """microsoft/deberta-v2-xlarge-mnli""": 512,
    """microsoft/deberta-v2-xxlarge-mnli""": 512,
}

UpperCAmelCase:   int       			=							{
    """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    ):




	"""simple docstring"""
	SCREAMING_SNAKE_CASE_				:    str		    =   VOCAB_FILES_NAMES
	SCREAMING_SNAKE_CASE_				:    Tuple		    =   PRETRAINED_VOCAB_FILES_MAP
	SCREAMING_SNAKE_CASE_				:    List[str]		    =   PRETRAINED_INIT_CONFIGURATION
	SCREAMING_SNAKE_CASE_				:    List[Any]		    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	SCREAMING_SNAKE_CASE_				:    int		    =   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_							,):
			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							:      Optional[int]			=					do_lower_case
			_lowercase							:      Tuple			=					split_by_punct
			_lowercase							:      Optional[Any]			=					vocab_file
			_lowercase							:      Dict			=					False if not self.vocab_file else True






	def 					lowerCamelCase__ (			self							,UpperCAmelCase_							,UpperCAmelCase_=None					):

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






	def 					lowerCamelCase__ (			self							,UpperCAmelCase_							,UpperCAmelCase_=None							,UpperCAmelCase_=False					):

			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					):
			_lowercase							:      Optional[int]			=					[self.sep_token_id]
			_lowercase							:      Any			=					[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					):
			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							:      Union[str, Any]			=					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'''

from itertools import permutations







def __A  (    ):
     _UpperCAmelCase					:  Union[str, Any]         =    list(map("""""".join ,       permutations("""0123456789"""       )       )       )
     return result[99_9999]


if __name__ == "__main__":
   print(solution())


