



from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
							from .features import FeatureType



@dataclass
class  lowerCamelCase__    :




		'''simple docstring'''



		snake_case_			=42
		snake_case_			=None
		# Automatically constructed
		snake_case_			="dict"
		snake_case_			=None
		snake_case_			=field(default="""Translation"""   ,       init=lowerCamelCase__   ,       repr=lowerCamelCase__)



		def __call__(self				)  ->    List[Any]:

						"""simple docstring"""






						return pa.struct({lang: pa.string() for lang in sorted(self.languages				)}				)



		def 	lowerCAmelCase__   (self				)  ->    Union["FeatureType", Dict[str, "FeatureType"]]:

						"""simple docstring"""






						from .features import Value

						return {k: Value('''string'''				) for k in sorted(self.languages				)}



@dataclass
class  lowerCamelCase__    :




		'''simple docstring'''



		snake_case_			=None
		snake_case_			=None
		snake_case_			=None
		# Automatically constructed
		snake_case_			="dict"
		snake_case_			=None
		snake_case_			=field(default="""TranslationVariableLanguages"""   ,       init=lowerCamelCase__   ,       repr=lowerCamelCase__)



		def 	lowerCAmelCase__   (self				)  ->    List[str]:

						"""simple docstring"""






						lowerCAmelCase__  :       List[str]				=  sorted(set(self.languages				)				) if self.languages else None
						lowerCAmelCase__  :       Union[str, Any]				=  len(self.languages				) if self.languages else None



		def __call__(self				)  ->    Any:

						"""simple docstring"""






						return pa.struct({'''language''': pa.list_(pa.string()				), '''translation''': pa.list_(pa.string()				)}				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    Dict:

						"""simple docstring"""






						lowerCAmelCase__  :       Optional[int]				=  set(self.languages				)
						if self.languages and set(__lowerCamelCase				) - lang_set:
										raise ValueError(
										    f"""Some languages in example ({', '.join(sorted(set(__lowerCamelCase				) - lang_set				)				)}) are not in valid set ({', '.join(__lowerCamelCase				)})."""				)

						# Convert dictionary into tuples, splitting out cases where there are
						# multiple translations for a single language.
						lowerCAmelCase__  :       Optional[Any]				=  []
						for lang, text in translation_dict.items():
										if isinstance(__lowerCamelCase	,__lowerCamelCase				):
														translation_tuples.append((lang, text)				)
										else:
														translation_tuples.extend([(lang, el) for el in text]				)

        # Ensure translations are in ascending order by language code.
						lowerCAmelCase__		,	lowerCAmelCase__  :       str				=  zip(*sorted(__lowerCamelCase				)				)

						return {"language": languages, "translation": translations}



		def 	lowerCAmelCase__   (self				)  ->    Union["FeatureType", Dict[str, "FeatureType"]]:

						"""simple docstring"""






						from .features import Sequence, Value

						return {
						    "language": Sequence(Value('''string'''				)				),
						    "translation": Sequence(Value('''string'''				)				),
						}






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

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__snake_case       :	Union[str, Any]            =logging.get_logger(__name__)

__snake_case       :	Dict            ={'vocab_file': 'sentencepiece.model'}

__snake_case       :	Optional[Any]            ={
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
}

__snake_case       :	int            ={
    'google/rembert': 2_5_6,
}



class  lowerCamelCase__    (							lowerCamelCase__):




		'''simple docstring'''



		snake_case_			=VOCAB_FILES_NAMES
		snake_case_			=PRETRAINED_VOCAB_FILES_MAP
		snake_case_			=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



		def __init__(self	,__lowerCamelCase	,__lowerCamelCase=False	,__lowerCamelCase=True	,__lowerCamelCase=True	,__lowerCamelCase="[CLS]"	,__lowerCamelCase="[SEP]"	,__lowerCamelCase="[UNK]"	,__lowerCamelCase="[SEP]"	,__lowerCamelCase="[PAD]"	,__lowerCamelCase="[CLS]"	,__lowerCamelCase="[MASK]"	,**__lowerCamelCase	,)  ->    Union[str, Any]:

						"""simple docstring"""






						super().__init__(
						    do_lower_case=__lowerCamelCase	,remove_space=__lowerCamelCase	,keep_accents=__lowerCamelCase	,bos_token=__lowerCamelCase	,eos_token=__lowerCamelCase	,unk_token=__lowerCamelCase	,sep_token=__lowerCamelCase	,pad_token=__lowerCamelCase	,cls_token=__lowerCamelCase	,mask_token=__lowerCamelCase	,**__lowerCamelCase	,)

						lowerCAmelCase__  :       int				=  do_lower_case
						lowerCAmelCase__  :       Optional[Any]				=  remove_space
						lowerCAmelCase__  :       Any				=  keep_accents
						lowerCAmelCase__  :       Dict				=  vocab_file

						lowerCAmelCase__  :       List[str]				=  spm.SentencePieceProcessor()
						self.sp_model.Load(__lowerCamelCase				)



		@property
		def 	lowerCAmelCase__   (self				)  ->    List[str]:

						"""simple docstring"""






						return len(self.sp_model				)



		def 	lowerCAmelCase__   (self				)  ->    List[Any]:

						"""simple docstring"""






						lowerCAmelCase__  :       int				=  {self.convert_ids_to_tokens(__lowerCamelCase				): i for i in range(self.vocab_size				)}
						vocab.update(self.added_tokens_encoder				)
						return vocab



		def __getstate__(self				)  ->    Union[str, Any]:

						"""simple docstring"""






						lowerCAmelCase__  :       Any				=  self.__dict__.copy()
						lowerCAmelCase__  :       Dict				=  None
						return state



		def __setstate__(self	,__lowerCamelCase				)  ->    int:

						"""simple docstring"""






						lowerCAmelCase__  :       Dict				=  d
						lowerCAmelCase__  :       List[str]				=  spm.SentencePieceProcessor()
						self.sp_model.Load(self.vocab_file				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase=False				)  ->    Tuple:

						"""simple docstring"""






						lowerCAmelCase__  :       str				=  self.sp_model.EncodeAsPieces(__lowerCamelCase				)
						return pieces



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    Dict:

						"""simple docstring"""






						return self.sp_model.PieceToId(__lowerCamelCase				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    List[str]:

						"""simple docstring"""






						return self.sp_model.IdToPiece(__lowerCamelCase				)



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    List[str]:

						"""simple docstring"""






						lowerCAmelCase__  :       Any				=  self.sp_model.decode_pieces(__lowerCamelCase				)
						return out_string



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    List[int]:

						"""simple docstring"""






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



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None	,__lowerCamelCase = False				)  ->    List[int]:

						"""simple docstring"""






						if already_has_special_tokens:
										if token_ids_a is not None:
														raise ValueError(
														    '''You should not supply a second sequence if the provided sequence of '''
														    '''ids is already formatted with special tokens for the model.'''				)
										return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

						if token_ids_a is not None:
										return [1] + ([0] * len(__lowerCamelCase				)) + [1] + ([0] * len(__lowerCamelCase				)) + [1]
						return [1] + ([0] * len(__lowerCamelCase				)) + [1]



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    List[int]:

						"""simple docstring"""






						lowerCAmelCase__  :       Union[str, Any]				=  [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				) * [0] + len(token_ids_a + sep				) * [1]



		def 	lowerCAmelCase__   (self	,__lowerCamelCase	,__lowerCamelCase = None				)  ->    Tuple[str]:

						"""simple docstring"""






						if not os.path.isdir(__lowerCamelCase				):
										logger.error('''Vocabulary path ({}) should be a directory'''.format(__lowerCamelCase				)				)
										return
						lowerCAmelCase__  :       Union[str, Any]				=  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,)

