



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

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


a_       :str				  =				logging.get_logger(__name__)

a_       :int				  =				{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

a_       :Union[str, Any]				  =				{
    "vocab_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json",
    },
}




class  snake_case__						(	lowerCAmelCase_					):






     """simple docstring"""


     def __init__(	self  :  Tuple,			_snake_case  :  Union[str, Any]=None,			_snake_case  :  int=None,			_snake_case  :  Tuple=False,			_snake_case  :  List[str]=True,			_snake_case  :  Tuple=False,			_snake_case  :  Union[str, Any]="<s>",			_snake_case  :  Optional[int]="</s>",			_snake_case  :  Any="<unk>",			_snake_case  :  Optional[Any]="<sep>",			_snake_case  :  Optional[Any]="<pad>",			_snake_case  :  Optional[int]="<cls>",			_snake_case  :  int="<mask>",			_snake_case  :  Optional[Any]=["<eop>", "<eod>"],			**_snake_case  :  Dict,			)       ->Tuple:
            snake_case__							:     List[str]            =     AddedToken(_snake_case,			lstrip=_snake_case,			rstrip=_snake_case ) if isinstance(_snake_case,			_snake_case ) else mask_token

            super().__init__(
                vocab_file=_snake_case,			tokenizer_file=_snake_case,			do_lower_case=_snake_case,			remove_space=_snake_case,			keep_accents=_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,			additional_special_tokens=_snake_case,			**_snake_case,			)

            snake_case__							:     Union[str, Any]            =     3
            snake_case__							:     Tuple            =     do_lower_case
            snake_case__							:     Optional[int]            =     remove_space
            snake_case__							:     str            =     keep_accents
            snake_case__							:     Optional[Any]            =     vocab_file
            snake_case__							:     Any            =     False if not self.vocab_file else True

            try:
                   import jieba
            except ModuleNotFoundError as error:
                   raise error.__class__(
                       'You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '
                       'See https://pypi.org/project/jieba/ for installation.' )
            snake_case__							:     Dict            =     jieba
            snake_case__							:     Optional[int]            =     str.maketrans(' \n',			'\u2582\u2583' )






     def        lowercase_       (	self  :  List[Any],			_snake_case  :  List[int],			_snake_case  :  Optional[List[int]] = None )       ->List[int]:
            snake_case__							:     Tuple            =     [self.sep_token_id]
            snake_case__							:     List[str]            =     [self.cls_token_id]
            if token_ids_a is None:
                   return token_ids_a + sep + cls
            return token_ids_a + sep + token_ids_a + sep + cls






     def        lowercase_       (	self  :  List[Any],			_snake_case  :  List[int],			_snake_case  :  Optional[List[int]] = None )       ->List[int]:
            snake_case__							:     str            =     [self.sep_token_id]
            snake_case__							:     Dict            =     [2]

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






     def        lowercase_       (	self  :  str,			_snake_case  :  str,			_snake_case  :  Optional[str] = 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(_snake_case ):
                   logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
                   return
            snake_case__							:     Tuple            =     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        lowercase_       (	self  :  str,			_snake_case  :  Union[str, Any],			*_snake_case  :  Optional[int],			**_snake_case  :  Tuple )       ->List[Any]:
            snake_case__							:     Any            =     [
                ' '.join([x.translate(self.translator ) for x in self.jieba.cut(_snake_case,			cut_all=_snake_case )] )
                for text in batch_text_or_text_pairs
            ]
            return super()._batch_encode_plus(_snake_case,			*_snake_case,			**_snake_case )






     def        lowercase_       (	self  :  str,			*_snake_case  :  str,			**_snake_case  :  Dict )       ->List[Any]:
            snake_case__							:     Union[str, Any]            =     super()._decode(*_snake_case,			**_snake_case )
            snake_case__							:     List[str]            =     text.replace(' ',			'' ).replace('\u2582',			' ' ).replace('\u2583',			'\n' )
            return text











def 	lowercase_							(A			:			int		, A			:			int				):
       return (input_a, input_a).count(0				) % 2
def 	lowercase_							():
       assert xor_gate(0		, 0				) == 0
       assert xor_gate(0		, 1				) == 1
       assert xor_gate(1		, 0				) == 1
       assert xor_gate(1		, 1				) == 0


if __name__ == "__main__":
 print(xor_gate(0, 0))
 print(xor_gate(0, 1))






