





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:
					UpperCAmelCase_      							=     None


UpperCAmelCase_      							=     logging.get_logger(__name__)

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

UpperCAmelCase_      							=     {
    """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""",
    },
}

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

UpperCAmelCase_      							=     """▁"""
class 			UpperCamelCase_		(  lowerCAmelCase__					):
					lowerCAmelCase_							=	VOCAB_FILES_NAMES
					lowerCAmelCase_							=	PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_							=	["input_ids", "attention_mask"]
					lowerCAmelCase_							=	CamembertTokenizer




					def __init__(		self				,						lowerCAmelCase_=None				,						lowerCAmelCase_=None				,						lowerCAmelCase_="<s>"				,						lowerCAmelCase_="</s>"				,						lowerCAmelCase_="</s>"				,						lowerCAmelCase_="<s>"				,						lowerCAmelCase_="<unk>"				,						lowerCAmelCase_="<pad>"				,						lowerCAmelCase_="<mask>"				,						lowerCAmelCase_=["<s>NOTUSED", "</s>NOTUSED"]				,						**lowerCAmelCase_				,						)		->							Dict:
										_snake_case									=				AddedToken(_lowerCamelCase				,						lstrip=_lowerCamelCase				,						rstrip=_lowerCamelCase  ) if isinstance(_lowerCamelCase				,						_lowerCamelCase  ) else mask_token

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

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




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_ = None  )		->							List[int]:





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




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_ = None  )		->							List[int]:
										_snake_case									=				[self.sep_token_id]
										_snake_case									=				[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				,						lowerCAmelCase_				,						lowerCAmelCase_ = None  )		->							Tuple[str]:





										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,)










from collections import deque

from .hash_table import HashTable
class 			UpperCamelCase_		(  _lowerCamelCase					):




					def __init__(		self				,						*lowerCAmelCase_				,						**lowerCAmelCase_  )		->							Any:
										super().__init__(*lowerCAmelCase_				,						**lowerCAmelCase_  )




					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_  )		->							Optional[int]:
										_snake_case									=				deque([]  ) if self.values[key] is None else self.values[key]
										self.values[key].appendleft(lowerCAmelCase_  )
										_snake_case									=				self.values[key]




					def 	lowerCAmelCase			(		self  )		->							Optional[int]:
										return (
										    sum(self.charge_factor - len(lowerCAmelCase_  ) for slot in self.values  )
										    / self.size_table
										    * self.charge_factor
										)






					def 	lowerCAmelCase			(		self				,						lowerCAmelCase_				,						lowerCAmelCase_=None  )		->							str:
										if not (
										    len(self.values[key]  ) == self.charge_factor and self.values.count(lowerCAmelCase_  ) == 0
										):
															return key
										return super()._collision_resolution(lowerCAmelCase_				,						lowerCAmelCase_  )



