


'''simple docstring'''
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				:							str		       =		None


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

__SCREAMING_SNAKE_CASE				:							List[Any]		       =		{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

__SCREAMING_SNAKE_CASE				:							List[Any]		       =		{
    '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				:							Tuple		       =		{
    'facebook/xglm-564M': 2048,
}






class 				__lowerCAmelCase      (      _UpperCAmelCase  ):

						"""simple docstring"""






						_UpperCAmelCase		:					str      	=VOCAB_FILES_NAMES
						_UpperCAmelCase		:					int      	=PRETRAINED_VOCAB_FILES_MAP
						_UpperCAmelCase		:					str      	=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_UpperCAmelCase		:					Any      	=["input_ids", "attention_mask"]
						_UpperCAmelCase		:					int      	=XGLMTokenizer






						def __init__(     self       :			int   ,     lowerCAmelCase       :			Union[str, Any]=None   ,     lowerCAmelCase       :			List[Any]=None   ,     lowerCAmelCase       :			Union[str, Any]="<s>"   ,     lowerCAmelCase       :			List[Any]="</s>"   ,     lowerCAmelCase       :			int="</s>"   ,     lowerCAmelCase       :			Any="<s>"   ,     lowerCAmelCase       :			Optional[Any]="<unk>"   ,     lowerCAmelCase       :			Optional[Any]="<pad>"   ,     **lowerCAmelCase       :			Tuple   ,     ):
													A_ 						=		7
													A_ 						=		[F"<madeupword{i}>" for i in range(self.num_madeup_words  )]

													A_ 						=		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   ,     )

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






						def 							_UpperCAmelCase					(     self       :			str   ,     lowerCAmelCase       :			Union[str, Any]   ,     lowerCAmelCase       :			Tuple = None  ):






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






						def 							_UpperCAmelCase					(     self       :			Optional[Any]   ,     lowerCAmelCase       :			List[Any]   ,     lowerCAmelCase       :			List[str] = None  ):
													A_ 						=		[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       :			int   ,     lowerCAmelCase       :			str   ,     lowerCAmelCase       :			Optional[Any] = 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
													A_ 						=		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 			a_							(  UpperCamelCase_   ):
							if not isinstance(UpperCamelCase_	,     UpperCamelCase_   ):
														A_ 						=		f"Input value of [number={number}] must be an integer"
														raise TypeError(UpperCamelCase_   )
							if number < 0 or number % 2 == 1:
														return False
							A_ 						=		int(number**0.5   )
							return number == number_sqrt * (number_sqrt + 1)


if __name__ == "__main__":
							import doctest

							doctest.testmod()





