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:
				A_:      str        =			None


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

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

A_:      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',
    },
}

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


class _lowercase					(       _UpperCAmelCase						):





							"""simple docstring"""




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



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







														'''simple docstring'''






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

														_lowercase				=	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__(
														    UpperCAmelCase     ,   tokenizer_file=UpperCAmelCase     ,   bos_token=UpperCAmelCase     ,   eos_token=UpperCAmelCase     ,   sep_token=UpperCAmelCase     ,   cls_token=UpperCAmelCase     ,   unk_token=UpperCAmelCase     ,   pad_token=UpperCAmelCase     ,   **UpperCAmelCase     ,   )

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



							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase     ,   UpperCAmelCase = None  ):







														'''simple docstring'''






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



							def     _UpperCAmelCase       (    self     ,   UpperCAmelCase     ,   UpperCAmelCase = None  ):







														'''simple docstring'''






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

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

														return (out_vocab_file,)



def 					__lowerCAmelCase			(  _A = 998_001					):



							"""simple docstring"""


							_lowercase				=	0
							for i in range(999 ,99 ,-1					):  # 3 digit numbers range from 999 down to 100
														for j in range(999 ,99 ,-1					):
																					_lowercase				=	str(i * j					)
																					if product_string == product_string[::-1] and i * j < n:
																												_lowercase				=	max(_A ,i * j					)
							return answer


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


