



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     :    Dict						=    None


snake_case     :    List[Any]						=    logging.get_logger(__name__)

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

snake_case     :    Tuple						=    {
    '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     :    Dict						=    {
    'facebook/xglm-564M': 2_0_4_8,
}




class 				lowerCAmelCase__	(						UpperCamelCase    ):
					__A  :     Tuple     =    VOCAB_FILES_NAMES
					__A  :     List[Any]     =    PRETRAINED_VOCAB_FILES_MAP
					__A  :     List[Any]     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__A  :     Dict     =    ['input_ids', 'attention_mask']
					__A  :     int     =    XGLMTokenizer







					def __init__(							self   :  Tuple      ,		_A   :  List[str]=None      ,		_A   :  int=None      ,		_A   :  List[str]="<s>"      ,		_A   :  int="</s>"      ,		_A   :  Any="</s>"      ,		_A   :  List[str]="<s>"      ,		_A   :  Tuple="<unk>"      ,		_A   :  Optional[int]="<pad>"      ,		**_A   :  Any      ,		):
											# Compatibility with the original tokenizer
											A__						:				Optional[Any]         =			7
											A__						:				Dict         =			[F'<madeupword{i}>' for i in range(self.num_madeup_words)]

											A__						:				Tuple         =			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      ,		)

											A__						:				Optional[Any]         =			vocab_file
											A__						:				Dict         =			False if not self.vocab_file else True







					def 			_lowercase      (							self   :  int      ,		_A   :  List[int]      ,		_A   :  Optional[List[int]] = None):

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







					def 			_lowercase      (							self   :  int      ,		_A   :  List[int]      ,		_A   :  Optional[List[int]] = None):
											A__						:				Optional[int]         =			[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 			_lowercase      (							self   :  Any      ,		_A   :  str      ,		_A   :  Optional[str] = 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(_A):
																	logger.error(F'Vocabulary path ({save_directory}) should be a directory.')
																	return
											A__						:				Tuple         =			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,)




def 						snake_case__							(       __lowercase = 1_0_0_0							)		->		int:







						"""simple docstring"""

						A__						:				int         =			0
						A__						:				Optional[int]         =			0
						while 1:
												num += 3
												if num >= n:
																		break
												total += num
												num += 2
												if num >= n:
																		break
												total += num
												num += 1
												if num >= n:
																		break
												total += num
												num += 3
												if num >= n:
																		break
												total += num
												num += 1
												if num >= n:
																		break
												total += num
												num += 2
												if num >= n:
																		break
												total += num
												num += 3
												if num >= n:
																		break
												total += num
						return total


if __name__ == "__main__":
		print(f"""{solution() = }""")