


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

import sentencepiece as spm

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


snake_case							:       int     			=      logging.get_logger(__name__)

snake_case							:       List[str]     			=      '''▁'''

snake_case							:       Any     			=      {'''vocab_file''': '''sentencepiece.bpe.model'''}

snake_case							:       str     			=      {
    '''vocab_file''': {
        '''facebook/mbart-large-50-one-to-many-mmt''': (
            '''https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model'''
        ),
    }
}

snake_case							:       Union[str, Any]     			=      {
    '''facebook/mbart-large-50-one-to-many-mmt''': 10_24,
}

# fmt: off
snake_case							:       Dict     			=      ['''ar_AR''', '''cs_CZ''', '''de_DE''', '''en_XX''', '''es_XX''', '''et_EE''', '''fi_FI''', '''fr_XX''', '''gu_IN''', '''hi_IN''', '''it_IT''', '''ja_XX''', '''kk_KZ''', '''ko_KR''', '''lt_LT''', '''lv_LV''', '''my_MM''', '''ne_NP''', '''nl_XX''', '''ro_RO''', '''ru_RU''', '''si_LK''', '''tr_TR''', '''vi_VN''', '''zh_CN''', '''af_ZA''', '''az_AZ''', '''bn_IN''', '''fa_IR''', '''he_IL''', '''hr_HR''', '''id_ID''', '''ka_GE''', '''km_KH''', '''mk_MK''', '''ml_IN''', '''mn_MN''', '''mr_IN''', '''pl_PL''', '''ps_AF''', '''pt_XX''', '''sv_SE''', '''sw_KE''', '''ta_IN''', '''te_IN''', '''th_TH''', '''tl_XX''', '''uk_UA''', '''ur_PK''', '''xh_ZA''', '''gl_ES''', '''sl_SI''']







class        snake_case_   (lowerCamelCase_      ):
					UpperCAmelCase__					:    Optional[int]          =			VOCAB_FILES_NAMES
					UpperCAmelCase__					:    int          =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					UpperCAmelCase__					:    str          =			PRETRAINED_VOCAB_FILES_MAP
					UpperCAmelCase__					:    Optional[Any]          =			['''input_ids''', '''attention_mask''']

					UpperCAmelCase__					:    List[int]          =			[]
					UpperCAmelCase__					:    List[int]          =			[]
					def __init__(      self   :List[Any]			,__snake_case   :str			,__snake_case   :Any=None			,__snake_case   :Optional[int]=None			,__snake_case   :List[Any]="</s>"			,__snake_case   :Tuple="</s>"			,__snake_case   :Union[str, Any]="<s>"			,__snake_case   :List[str]="<unk>"			,__snake_case   :Dict="<pad>"			,__snake_case   :int="<mask>"			,__snake_case   :Optional[Dict[str, Any]] = None			,**__snake_case   :Any			,)					->    None:
												# Mask token behave like a normal word, i.e. include the space before it
												a__             =     AddedToken(__snake_case			,lstrip=__snake_case			,rstrip=__snake_case      ) if isinstance(__snake_case			,__snake_case      ) else mask_token

												a__             =     {} if sp_model_kwargs is None else sp_model_kwargs

												a__             =     kwargs.get('additional_special_tokens'			,[]      )
												kwargs["additional_special_tokens"] += [
												    code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
												]

												super().__init__(
												    src_lang=__snake_case			,tgt_lang=__snake_case			,eos_token=__snake_case			,unk_token=__snake_case			,sep_token=__snake_case			,cls_token=__snake_case			,pad_token=__snake_case			,mask_token=__snake_case			,sp_model_kwargs=self.sp_model_kwargs			,**__snake_case			,)

												a__             =     spm.SentencePieceProcessor(**self.sp_model_kwargs      )
												self.sp_model.Load(str(__snake_case      )      )
												a__             =     vocab_file

												# Original fairseq vocab and spm vocab must be "aligned":
												# Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
												# -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
												# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
												# spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

												# Mimic fairseq token-to-id alignment for the first 4 token
												a__             =     {'<s>': 0, '<pad>': 1, '</s>': 2, '<unk>': 3}

												# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
												a__             =     1

												a__             =     len(self.sp_model      )
												a__             =     {
												    code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(__snake_case      )
												}
												a__             =     {v: k for k, v in self.lang_code_to_id.items()}
												a__             =     len(self.sp_model      ) + len(self.lang_code_to_id      ) + self.fairseq_offset

												self.fairseq_tokens_to_ids.update(self.lang_code_to_id      )
												a__             =     {v: k for k, v in self.fairseq_tokens_to_ids.items()}

												a__             =     src_lang if src_lang is not None else 'en_XX'
												a__             =     self.lang_code_to_id[self._src_lang]
												a__             =     tgt_lang
												self.set_src_lang_special_tokens(self._src_lang      )
					@property
					def  lowerCamelCase__(      self   :int      )					->    int:
												return len(self.sp_model      ) + len(self.lang_code_to_id      ) + self.fairseq_offset + 1  # Plus 1 for the mask token
					@property
					def  lowerCamelCase__(      self   :List[Any]      )					->    str:
												return self._src_lang
					@src_lang.setter
					def  lowerCamelCase__(      self   :int			,__snake_case   :str      )					->    None:
												a__             =     new_src_lang
												self.set_src_lang_special_tokens(self._src_lang      )
					def __getstate__(      self   :Union[str, Any]      )					->    Dict:
												a__             =     self.__dict__.copy()
												a__             =     None
												return state
					def __setstate__(      self   :List[str]			,__snake_case   :Dict      )					->    None:
												a__             =     d

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

												a__             =     spm.SentencePieceProcessor(**self.sp_model_kwargs      )
												self.sp_model.Load(self.vocab_file      )
					def  lowerCamelCase__(      self   :Dict      )					->    Dict:
												a__             =     {self.convert_ids_to_tokens(__snake_case      ): i for i in range(self.vocab_size      )}
												vocab.update(self.added_tokens_encoder      )
												return vocab
					def  lowerCamelCase__(      self   :Union[str, Any]			,__snake_case   :str      )					->    List[str]:
												return self.sp_model.encode(__snake_case			,out_type=__snake_case      )
					def  lowerCamelCase__(      self   :int			,__snake_case   :str      )					->    int:
												if token in self.fairseq_tokens_to_ids:
																			return self.fairseq_tokens_to_ids[token]
												a__             =     self.sp_model.PieceToId(__snake_case      )

												# Need to return unknown token if the SP model returned 0
												return spm_id + self.fairseq_offset if spm_id else self.unk_token_id
					def  lowerCamelCase__(      self   :List[str]			,__snake_case   :int      )					->    str:
												if index in self.fairseq_ids_to_tokens:
																			return self.fairseq_ids_to_tokens[index]
												return self.sp_model.IdToPiece(index - self.fairseq_offset      )
					def  lowerCamelCase__(      self   :int			,__snake_case   :List[str]      )					->    List[str]:
												a__             =     []
												a__             =     ''
												a__             =     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(__snake_case      ) + token
																										a__             =     True
																										a__             =     []
																			else:
																										current_sub_tokens.append(__snake_case      )
																										a__             =     False
												out_string += self.sp_model.decode(__snake_case      )
												return out_string.strip()
					def  lowerCamelCase__(      self   :List[str]			,__snake_case   :str			,__snake_case   :Optional[str] = None      )					->    Tuple[str]:
												if not os.path.isdir(__snake_case      ):
																			logger.error(F'Vocabulary path ({save_directory}) should be a directory'      )
																			return
												a__             =     os.path.join(
												    __snake_case			,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )

												if os.path.abspath(self.vocab_file      ) != os.path.abspath(__snake_case      ) and os.path.isfile(self.vocab_file      ):
																			copyfile(self.vocab_file			,__snake_case      )
												elif not os.path.isfile(self.vocab_file      ):
																			with open(__snake_case			,'wb'      ) as fi:
																										a__             =     self.sp_model.serialized_model_proto()
																										fi.write(__snake_case      )

												return (out_vocab_file,)
					def  lowerCamelCase__(      self   :Optional[Any]			,__snake_case   :List[int]			,__snake_case   :Optional[List[int]] = None			,__snake_case   :bool = False      )					->    List[int]:

												if already_has_special_tokens:
																			return super().get_special_tokens_mask(
																			    token_ids_a=__snake_case			,token_ids_a=__snake_case			,already_has_special_tokens=__snake_case      )

												a__             =     [1] * len(self.prefix_tokens      )
												a__             =     [1] * len(self.suffix_tokens      )
												if token_ids_a is None:
																			return prefix_ones + ([0] * len(__snake_case      )) + suffix_ones
												return prefix_ones + ([0] * len(__snake_case      )) + ([0] * len(__snake_case      )) + suffix_ones
					def  lowerCamelCase__(      self   :List[Any]			,__snake_case   :List[int]			,__snake_case   :Optional[List[int]] = None      )					->    List[int]:
												if token_ids_a is None:
																			return self.prefix_tokens + token_ids_a + self.suffix_tokens
												# We don't expect to process pairs, but leave the pair logic for API consistency
												return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens
					def  lowerCamelCase__(      self   :int			,__snake_case   :str			,__snake_case   :str			,__snake_case   :Optional[str]			,__snake_case   :Optional[str]			,**__snake_case   :Tuple      )					->    int:
												if src_lang is None or tgt_lang is None:
																			raise ValueError('Translation requires a `src_lang` and a `tgt_lang` for this model'      )
												a__             =     src_lang
												a__             =     self(__snake_case			,add_special_tokens=__snake_case			,return_tensors=__snake_case			,**__snake_case      )
												a__             =     self.convert_tokens_to_ids(__snake_case      )
												a__             =     tgt_lang_id
												return inputs
					def  lowerCamelCase__(      self   :Union[str, Any]			,__snake_case   :List[str]			,__snake_case   :str = "en_XX"			,__snake_case   :Optional[List[str]] = None			,__snake_case   :str = "ro_RO"			,**__snake_case   :Optional[int]			,)					->    BatchEncoding:
												a__             =     src_lang
												a__             =     tgt_lang
												return super().prepare_seqaseq_batch(__snake_case			,__snake_case			,**__snake_case      )
					def  lowerCamelCase__(      self   :Optional[Any]      )					->    int:
												return self.set_src_lang_special_tokens(self.src_lang      )
					def  lowerCamelCase__(      self   :Optional[int]      )					->    Optional[int]:
												return self.set_tgt_lang_special_tokens(self.tgt_lang      )
					def  lowerCamelCase__(      self   :Optional[int]			,__snake_case   :str      )					->    None:
												a__             =     self.lang_code_to_id[src_lang]
												a__             =     [self.cur_lang_code_id]
												a__             =     [self.eos_token_id]



					def  lowerCamelCase__(      self   :Any			,__snake_case   :str      )					->    None:
												a__             =     self.lang_code_to_id[tgt_lang]
												a__             =     [self.cur_lang_code_id]
												a__             =     [self.eos_token_id]








import argparse


snake_case							:       int     			=      '''docs/source/_static/js/custom.js'''






def 							__lowercase   ( __lowerCAmelCase							:				Optional[Any]   ):
							with open(__lowerCAmelCase					,    encoding='utf-8'					,    newline='\n'   ) as f:
														a__             =     f.readlines()
							a__             =     0

							# First let's put the right version
							while not lines[index].startswith('const stableVersion ='   ):
														index += 1
							a__             =     F'const stableVersion = "v{version}"\n'

							# Then update the dictionary
							while not lines[index].startswith('const versionMapping = {'   ):
														index += 1

							# We go until the end
							while not lines[index].startswith('}'   ):
														index += 1
							# We add the new version at the end
							lines[index - 1] += F'    "v{version}": "v{version}",\n'

							with open(__lowerCAmelCase					,    'w'					,    encoding='utf-8'					,    newline='\n'   ) as f:
														f.writelines(__lowerCAmelCase   )


if __name__ == "__main__":
						snake_case							:       Optional[Any]     			=      argparse.ArgumentParser()
						parser.add_argument('''--version''', help='''Release version.''')
						snake_case							:       Optional[int]     			=      parser.parse_args()
						update_custom_js(args.version)




