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:
			_SCREAMING_SNAKE_CASE:    Any     						=							None


_SCREAMING_SNAKE_CASE:    str     						=							logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE:    str     						=							{
    '''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''',
    },
}

_SCREAMING_SNAKE_CASE:    Optional[int]     						=							{
    '''facebook/xglm-564M''': 2_048,
}

class 						_SCREAMING_SNAKE_CASE				(  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     :					Optional[Any]	,       __SCREAMING_SNAKE_CASE     :					int=None	,       __SCREAMING_SNAKE_CASE     :					List[Any]=None	,       __SCREAMING_SNAKE_CASE     :					List[Any]="<s>"	,       __SCREAMING_SNAKE_CASE     :					List[str]="</s>"	,       __SCREAMING_SNAKE_CASE     :					Optional[Any]="</s>"	,       __SCREAMING_SNAKE_CASE     :					Union[str, Any]="<s>"	,       __SCREAMING_SNAKE_CASE     :					Union[str, Any]="<unk>"	,       __SCREAMING_SNAKE_CASE     :					Tuple="<pad>"	,       **__SCREAMING_SNAKE_CASE     :					List[Any]	,       ):






					"""simple docstring"""
					_snake_case														=   7
					_snake_case														=   [F'<madeupword{i}>' for i in range(self.num_madeup_words )]

					_snake_case														=   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__(
					    lowerCAmelCase__	,       tokenizer_file=lowerCAmelCase__	,       bos_token=lowerCAmelCase__	,       eos_token=lowerCAmelCase__	,       sep_token=lowerCAmelCase__	,       cls_token=lowerCAmelCase__	,       unk_token=lowerCAmelCase__	,       pad_token=lowerCAmelCase__	,       **lowerCAmelCase__	,       )

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



		def 					_a					(      self     :					Optional[Any]	,       __SCREAMING_SNAKE_CASE     :					List[int]	,       __SCREAMING_SNAKE_CASE     :					Optional[List[int]] = None ):






					"""simple docstring"""

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



		def 					_a					(      self     :					Optional[int]	,       __SCREAMING_SNAKE_CASE     :					List[int]	,       __SCREAMING_SNAKE_CASE     :					Optional[List[int]] = None ):






					"""simple docstring"""
					_snake_case														=   [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 					_a					(      self     :					Dict	,       __SCREAMING_SNAKE_CASE     :					str	,       __SCREAMING_SNAKE_CASE     :					Optional[str] = None ):






					"""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(lowerCAmelCase__ ):
								logger.error(F'Vocabulary path ({save_directory}) should be a directory.' )
								return
					_snake_case														=   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,)









def 						A_					(						lowercase_	,  lowercase_			)				->List[Any]:







 """simple docstring"""

 SCREAMING_SNAKE_CASE				    =		1
 while b > 0:
  if b & 1:
   res *= a

  a *= a
  b >>= 1

 return res





def 						A_					(						lowercase_	,  lowercase_	,  lowercase_			)				->Any:







 """simple docstring"""

 SCREAMING_SNAKE_CASE				    =		1
 while b > 0:
  if b & 1:
   SCREAMING_SNAKE_CASE				    =		((res % c) * (a % c)) % c

  a *= a
  b >>= 1

 return res




