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

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


if is_sentencepiece_available():
     from .tokenization_xglm import XGLMTokenizer
else:
     snake_case__						      =			None


snake_case__						      =			logging.get_logger(__name__)

snake_case__						      =			{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

snake_case__						      =			{
    'vocab_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json',
    },
}

snake_case__						      =			{
    'facebook/xglm-564M': 2048,
}



class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     A_					    =	VOCAB_FILES_NAMES
     A_					    =	PRETRAINED_VOCAB_FILES_MAP
     A_					    =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A_					    =	['input_ids', 'attention_mask']
     A_					    =	XGLMTokenizer



     def __init__(       self					,					A_=None					,					A_=None					,					A_="<s>"					,					A_="</s>"					,					A_="</s>"					,					A_="<s>"					,					A_="<unk>"					,					A_="<pad>"					,					**A_					,					)			->					int:






           """simple docstring"""
           # Compatibility with the original tokenizer
           _lowerCamelCase           =					7
           _lowerCamelCase           =					[F'<madeupword{i}>' for i in range(self.num_madeup_words    )]

           _lowerCamelCase           =					kwargs.get('''additional_special_tokens'''					,					[]    )
           kwargs["additional_special_tokens"] += [
               word for word in madeup_words if word not in kwargs["additional_special_tokens"]
           ]

           super().__init__(
               A_					,					tokenizer_file=A_					,					bos_token=A_					,					eos_token=A_					,					sep_token=A_					,					cls_token=A_					,					unk_token=A_					,					pad_token=A_					,					**A_					,					)

           _lowerCamelCase           =					vocab_file
           _lowerCamelCase           =					False if not self.vocab_file else True



     def 		UpperCamelCase_    (       self					,					A_					,					A_ = None    )			->					List[int]:






           """simple docstring"""

           if token_ids_a is None:
                 return [self.sep_token_id] + token_ids_a
           _lowerCamelCase           =					[self.sep_token_id]
           return sep + token_ids_a + sep + sep + token_ids_a



     def 		UpperCamelCase_    (       self					,					A_					,					A_ = None    )			->					List[int]:






           """simple docstring"""
           _lowerCamelCase           =					[self.sep_token_id]

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





     def 		UpperCamelCase_    (       self					,					A_					,					A_ = None    )			->					Tuple[str]:






           """simple docstring"""
           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(A_    ):
                 logger.error(F'Vocabulary path ({save_directory}) should be a directory.'    )
                 return
           _lowerCamelCase           =					os.path.join(
               A_					,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']    )

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

           return (out_vocab_file,)
from hashlib import mda, shaaaa

snake_case__						      =			(shaaaa, mda)



class 			UpperCamelCase					:

     '''simple docstring'''

     def __init__(       self					,					A_ = 8    )			->					None:






           """simple docstring"""
           _lowerCamelCase           =					0b0
           _lowerCamelCase           =					size



     def 		UpperCamelCase_    (       self					,					A_    )			->					None:






           """simple docstring"""
           _lowerCamelCase           =					self.hash_(A_    )
           self.bitarray |= h



     def 		UpperCamelCase_    (       self					,					A_    )			->					bool:






           """simple docstring"""
           _lowerCamelCase           =					self.hash_(A_    )
           return (h & self.bitarray) == h



     def __contains__(       self					,					A_    )			->					bool:






           """simple docstring"""
           return self.exists(A_    )



     def 		UpperCamelCase_    (       self					,					A_    )			->					str:






           """simple docstring"""
           _lowerCamelCase           =					bin(A_    )[2:]
           return res.zfill(self.size    )



     @property
     def 		UpperCamelCase_    (       self    )			->					str:






           """simple docstring"""
           return self.format_bin(self.bitarray    )



     def 		UpperCamelCase_    (       self					,					A_    )			->					int:






           """simple docstring"""
           _lowerCamelCase           =					0b0
           for func in HASH_FUNCTIONS:
                 _lowerCamelCase           =					(
                     int.from_bytes(func(value.encode()    ).digest()					,					'''little'''    ) % self.size
                 )
                 res |= 2**position
           return res



     def 		UpperCamelCase_    (       self					,					A_    )			->					str:






           """simple docstring"""
           return self.format_bin(self.hash_(A_    )    )





     @property
     def 		UpperCamelCase_    (       self    )			->					float:






           """simple docstring"""
           _lowerCamelCase           =					bin(self.bitarray    ).count('''1'''    )
           return (n_ones / self.size) ** len(A_    )