





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

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


A_												=     logging.get_logger(__name__)

A_												=     {"vocab_file": "sentencepiece.bpe.model"}

A_												=     {
    "vocab_file": {
        "moussaKam/mbarthez": "https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez": "https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez-orangesum-title": (
            "https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"
        ),
    },
}

A_												=     {
    "moussaKam/mbarthez": 1_0_2_4,
    "moussaKam/barthez": 1_0_2_4,
    "moussaKam/barthez-orangesum-title": 1_0_2_4,
}

A_												=     "▁"

class SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


					A__				 =    VOCAB_FILES_NAMES
					A__				 =    PRETRAINED_VOCAB_FILES_MAP
					A__				 =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					A__				 =    ["input_ids", "attention_mask"]





					def __init__( self	,  _lowerCAmelCase	,  _lowerCAmelCase="<s>"	,  _lowerCAmelCase="</s>"	,  _lowerCAmelCase="</s>"	,  _lowerCAmelCase="<s>"	,  _lowerCAmelCase="<unk>"	,  _lowerCAmelCase="<pad>"	,  _lowerCAmelCase="<mask>"	,  _lowerCAmelCase = None	,  **_lowerCAmelCase	,  ):
										# Mask token behave like a normal word, i.e. include the space before it
										lowerCamelCase__       =       AddedToken(_lowerCAmelCase	,  lstrip=_lowerCAmelCase	,  rstrip=_lowerCAmelCase	) if isinstance(_lowerCAmelCase	,  _lowerCAmelCase	) else mask_token

										lowerCamelCase__       =       {} if sp_model_kwargs is None else sp_model_kwargs

										super().__init__(
										    bos_token=_lowerCAmelCase	,  eos_token=_lowerCAmelCase	,  unk_token=_lowerCAmelCase	,  sep_token=_lowerCAmelCase	,  cls_token=_lowerCAmelCase	,  pad_token=_lowerCAmelCase	,  mask_token=_lowerCAmelCase	,  sp_model_kwargs=self.sp_model_kwargs	,  **_lowerCAmelCase	,  )

										lowerCamelCase__       =       vocab_file
										lowerCamelCase__       =       spm.SentencePieceProcessor(**self.sp_model_kwargs	)
										self.sp_model.Load(str(_lowerCAmelCase	)	)

										lowerCamelCase__       =       {"<s>": 0, "<pad>": 1, "</s>": 2, "<unk>": 3}

										lowerCamelCase__       =       len(self.sp_model	) - 1
										lowerCamelCase__       =       {v: k for k, v in self.fairseq_tokens_to_ids.items()}





					def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase = None	):

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





					def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase = None	,  _lowerCAmelCase = False	):
										if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=_lowerCAmelCase	,  token_ids_a=_lowerCAmelCase	,  already_has_special_tokens=_lowerCAmelCase	)

										if token_ids_a is None:
															return [1] + ([0] * len(_lowerCAmelCase	)) + [1]
										return [1] + ([0] * len(_lowerCAmelCase	)) + [1, 1] + ([0] * len(_lowerCAmelCase	)) + [1]





					def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase = None	):
										lowerCamelCase__       =       [self.sep_token_id]
										lowerCamelCase__       =       [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]





					@property
					def 					__magic_name__ ( self	):
										return len(self.sp_model	)





					def 					__magic_name__ ( self	):
										lowerCamelCase__       =       {self.convert_ids_to_tokens(_lowerCAmelCase	): i for i in range(self.vocab_size	)}
										vocab.update(self.added_tokens_encoder	)
										return vocab





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):
										return self.sp_model.encode(_lowerCAmelCase	,  out_type=_lowerCAmelCase	)





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):
										if token in self.fairseq_tokens_to_ids:
															return self.fairseq_tokens_to_ids[token]
										lowerCamelCase__       =       self.sp_model.PieceToId(_lowerCAmelCase	)

										return spm_id if spm_id else self.unk_token_id





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):
										if index in self.fairseq_ids_to_tokens:
															return self.fairseq_ids_to_tokens[index]
										return self.sp_model.IdToPiece(_lowerCAmelCase	)





					def 					__magic_name__ ( self	,  _lowerCAmelCase	):
										lowerCamelCase__       =       []
										lowerCamelCase__       =       ""
										lowerCamelCase__       =       False
										for token in tokens:
															# make sure that special tokens are not decoded using sentencepiece model
															if token in self.all_special_tokens:
																				if not prev_is_special:
																									out_string += " "
																				out_string += self.sp_model.decode(_lowerCAmelCase	) + token
																				lowerCamelCase__       =       True
																				lowerCamelCase__       =       []
															else:
																				current_sub_tokens.append(_lowerCAmelCase	)
																				lowerCamelCase__       =       False
										out_string += self.sp_model.decode(_lowerCAmelCase	)
										return out_string.strip()





					def __getstate__( self	):
										lowerCamelCase__       =       self.__dict__.copy()
										lowerCamelCase__       =       None
										return state





					def __setstate__( self	,  _lowerCAmelCase	):
										lowerCamelCase__       =       d

										# for backward compatibility
										if not hasattr(self	,  "sp_model_kwargs"	):
															lowerCamelCase__       =       {}

										lowerCamelCase__       =       spm.SentencePieceProcessor(**self.sp_model_kwargs	)
										self.sp_model.Load(self.vocab_file	)






					def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase = None	):
										if not os.path.isdir(_lowerCAmelCase	):
															logger.error(F"Vocabulary path ({save_directory}) should be a directory"	)
															return
										lowerCamelCase__       =       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	) and os.path.isfile(self.vocab_file	):
															copyfile(self.vocab_file	,  _lowerCAmelCase	)
										elif not os.path.isfile(self.vocab_file	):
															with open(_lowerCAmelCase	,  "wb"	) as fi:
																				lowerCamelCase__       =       self.sp_model.serialized_model_proto()
																				fi.write(_lowerCAmelCase	)

										return (out_vocab_file,)








def    __UpperCamelCase      (    a,     a,     a=False) ->Dict:

					if isinstance(a,     a) and isinstance(a,     a):
										lowerCamelCase__       =       len(set_a.intersection(a))

										if alternative_union:
															lowerCamelCase__       =       len(a) + len(a)
										else:
															lowerCamelCase__       =       len(set_a.union(a))

										return intersection / union

					if isinstance(a,     (list, tuple)) and isinstance(a,     (list, tuple)):
										lowerCamelCase__       =       [element for element in set_a if element in set_b]

										if alternative_union:
															lowerCamelCase__       =       len(a) + len(a)
															return len(a) / union
										else:
															lowerCamelCase__       =       set_a + [element for element in set_b if element not in set_a]
															return len(a) / len(a)

										return len(a) / len(a)
					return None


if __name__ == "__main__":
						A_												=     {"a", "b", "c", "d", "e"}
						A_												=     {"c", "d", "e", "f", "h", "i"}
						print(jaccard_similarity(set_a, set_b))

