
"""simple docstring"""







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

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


if is_sentencepiece_available():
			from .tokenization_camembert import CamembertTokenizer
else:
			lowerCamelCase__        =		None


lowerCamelCase__        =		logging.get_logger(__name__)

lowerCamelCase__        =		{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

lowerCamelCase__        =		{
    """vocab_file""": {
        """camembert-base""": """https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model""",
    },
    """tokenizer_file""": {
        """camembert-base""": """https://huggingface.co/camembert-base/resolve/main/tokenizer.json""",
    },
}

lowerCamelCase__        =		{
    """camembert-base""": 512,
}

lowerCamelCase__        =		"""▁"""




class 			A__	(     __snake_case):
		A_						:	List[Any]           =     VOCAB_FILES_NAMES
		A_						:	Optional[Any]           =     PRETRAINED_VOCAB_FILES_MAP
		A_						:	str           =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		A_						:	Optional[Any]           =     ['input_ids', 'attention_mask']
		A_						:	Dict           =     CamembertTokenizer

		def __init__(				self	,		_SCREAMING_SNAKE_CASE=None	,		_SCREAMING_SNAKE_CASE=None	,		_SCREAMING_SNAKE_CASE="<s>"	,		_SCREAMING_SNAKE_CASE="</s>"	,		_SCREAMING_SNAKE_CASE="</s>"	,		_SCREAMING_SNAKE_CASE="<s>"	,		_SCREAMING_SNAKE_CASE="<unk>"	,		_SCREAMING_SNAKE_CASE="<pad>"	,		_SCREAMING_SNAKE_CASE="<mask>"	,		_SCREAMING_SNAKE_CASE=["<s>NOTUSED", "</s>NOTUSED"]	,		**_SCREAMING_SNAKE_CASE	,		):
			__lowerCAmelCase      :						Any						      =				AddedToken(a_	,		lstrip=a_	,		rstrip=a_			) if isinstance(a_	,		a_			) else mask_token

			super().__init__(
			    a_	,		tokenizer_file=a_	,		bos_token=a_	,		eos_token=a_	,		sep_token=a_	,		cls_token=a_	,		unk_token=a_	,		pad_token=a_	,		mask_token=a_	,		additional_special_tokens=a_	,		**a_	,		)

			__lowerCAmelCase      :						List[str]						      =				vocab_file
			__lowerCAmelCase      :						List[str]						      =				False if not self.vocab_file else True

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE = None			):

			if token_ids_a is None:
				return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
			__lowerCAmelCase      :						Optional[Any]						      =				[self.cls_token_id]
			__lowerCAmelCase      :						Union[str, Any]						      =				[self.sep_token_id]
			return cls + token_ids_a + sep + sep + token_ids_a + sep

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE = None			):
			__lowerCAmelCase      :						Optional[int]						      =				[self.sep_token_id]
			__lowerCAmelCase      :						Union[str, Any]						      =				[self.cls_token_id]

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







		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE = 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
			__lowerCAmelCase      :						Any						      =				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,)

"""simple docstring"""







from __future__ import annotations
def    __lowerCAmelCase    (_UpperCamelCase		):
	__lowerCAmelCase      :						List[str]						      =				str(_UpperCamelCase		)
	return len(_UpperCamelCase		) == 9 and set(_UpperCamelCase		) == set('123456789'		)
def    __lowerCAmelCase    ():
	for base_num in range(9999	,  4999	,  -1		):
		__lowerCAmelCase      :						Union[str, Any]						      =				10_0002 * base_num
		if is_9_pandigital(_UpperCamelCase		):
			return candidate

	for base_num in range(333	,  99	,  -1		):
		__lowerCAmelCase      :						Dict						      =				100_2003 * base_num
		if is_9_pandigital(_UpperCamelCase		):
			return candidate

	return None


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