'''simple docstring'''

from __future__ import annotations


class 				_lowercase	:
      '''simple docstring'''


      def __init__(				self					,lowerCamelCase_=None							)			->			Tuple:



         '''simple docstring'''



         UpperCAmelCase__							:				Tuple   				=  data
         UpperCAmelCase__							:				Dict   				=  None




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



         '''simple docstring'''



         UpperCAmelCase__							:				Dict   				=  []
         UpperCAmelCase__							:				Optional[int]   				=  self
         while temp:
            string_rep.append(f'''{temp.data}'''							)
            UpperCAmelCase__							:				str   				=  temp.next
         return "->".join(lowerCamelCase_							)







def __UpperCamelCase(   _A					:				list    ):
   '''simple docstring'''
   if not elements_list:
      raise Exception('''The Elements List is empty'''    )

   UpperCAmelCase__							:				Optional[int]   				=  Node(elements_list[0]    )
   for i in range(1  ,			len(_A    )    ):
      UpperCAmelCase__							:				Optional[Any]   				=  Node(elements_list[i]    )
      UpperCAmelCase__							:				Optional[Any]   				=  current.next
   return head







def __UpperCamelCase(   _A					:				Node    ):
   '''simple docstring'''
   if head_node is not None and isinstance(_A  ,			_A    ):
      print_reverse(head_node.next    )
      print(head_node.data    )







def __UpperCamelCase(   ):
   '''simple docstring'''
   from doctest import testmod

   testmod()

   UpperCAmelCase__							:				Optional[int]   				=  make_linked_list([14, 52, 14, 12, 43]    )
   print('''Linked List:'''    )
   print(_A    )
   print('''Elements in Reverse:'''    )
   print_reverse(_A    )


if __name__ == "__main__":
  main()





'''simple docstring'''

import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


UpperCamelCase__     :	Optional[Any]				=			logging.get_logger(__name__)

UpperCamelCase__     :	str				=			'▁'

UpperCamelCase__     :	Any				=			{
    'vocab_file': 'vocab.json',
    'spm_file': 'sentencepiece.bpe.model',
    'tokenizer_config_file': 'tokenizer_config.json',
}

UpperCamelCase__     :	Union[str, Any]				=			{
    'vocab_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json',
    },
    'spm_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_config_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json',
    },
}

UpperCamelCase__     :	Dict				=			{
    'facebook/m2m100_418M': 1_024,
}

# fmt: off
UpperCamelCase__     :	Optional[int]				=			{
    'm2m100': ['af', 'am', 'ar', 'ast', 'az', 'ba', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'ceb', 'cs', 'cy', 'da', 'de', 'el', 'en', 'es', 'et', 'fa', 'ff', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'ht', 'hu', 'hy', 'id', 'ig', 'ilo', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'lb', 'lg', 'ln', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'ns', 'oc', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'ss', 'su', 'sv', 'sw', 'ta', 'th', 'tl', 'tn', 'tr', 'uk', 'ur', 'uz', 'vi', 'wo', 'xh', 'yi', 'yo', 'zh', 'zu'],
    'wmt21': ['en', 'ha', 'is', 'ja', 'cs', 'ru', 'zh', 'de']
}


class 				_lowercase	(      lowerCAmelCase   ):
      '''simple docstring'''


      UpperCAmelCase_      :      Optional[int]      							=   VOCAB_FILES_NAMES
      UpperCAmelCase_      :      Tuple      							=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCAmelCase_      :      Optional[int]      							=   PRETRAINED_VOCAB_FILES_MAP
      UpperCAmelCase_      :      Optional[int]      							=   ['''input_ids''', '''attention_mask''']

      UpperCAmelCase_      :      List[int]      							=   []
      UpperCAmelCase_      :      List[int]      							=   []




      def __init__(				self					,lowerCamelCase_					,lowerCamelCase_					,lowerCamelCase_=None					,lowerCamelCase_=None					,lowerCamelCase_="<s>"					,lowerCamelCase_="</s>"					,lowerCamelCase_="</s>"					,lowerCamelCase_="<pad>"					,lowerCamelCase_="<unk>"					,lowerCamelCase_="m2m100"					,lowerCamelCase_ = None					,lowerCamelCase_=8					,**lowerCamelCase_					,)			->			None:



         '''simple docstring'''



         UpperCAmelCase__							:				str   				=  {} if sp_model_kwargs is None else sp_model_kwargs

         UpperCAmelCase__							:				Dict   				=  language_codes
         UpperCAmelCase__							:				Union[str, Any]   				=  FAIRSEQ_LANGUAGE_CODES[language_codes]
         UpperCAmelCase__							:				Union[str, Any]   				=  {lang_code: f'''__{lang_code}__''' for lang_code in fairseq_language_code}

         UpperCAmelCase__							:				Any   				=  kwargs.get('''additional_special_tokens'''					,[]							)
         kwargs["additional_special_tokens"] += [
             self.get_lang_token(lowerCamelCase_							)
             for lang_code in fairseq_language_code
             if self.get_lang_token(lowerCamelCase_							) not in kwargs["additional_special_tokens"]
         ]

         super().__init__(
             src_lang=lowerCamelCase_					,tgt_lang=lowerCamelCase_					,bos_token=lowerCamelCase_					,eos_token=lowerCamelCase_					,sep_token=lowerCamelCase_					,unk_token=lowerCamelCase_					,pad_token=lowerCamelCase_					,language_codes=lowerCamelCase_					,sp_model_kwargs=self.sp_model_kwargs					,num_madeup_words=lowerCamelCase_					,**lowerCamelCase_					,)

         UpperCAmelCase__							:				Optional[int]   				=  vocab_file
         UpperCAmelCase__							:				Optional[Any]   				=  load_json(lowerCamelCase_							)
         UpperCAmelCase__							:				List[str]   				=  {v: k for k, v in self.encoder.items()}
         UpperCAmelCase__							:				List[Any]   				=  spm_file
         UpperCAmelCase__							:				Any   				=  load_spm(lowerCamelCase_					,self.sp_model_kwargs							)

         UpperCAmelCase__							:				int   				=  len(self.encoder							)

         UpperCAmelCase__							:				Optional[int]   				=  {
             self.get_lang_token(lowerCamelCase_							): self.encoder_size + i for i, lang_code in enumerate(lowerCamelCase_							)
         }
         UpperCAmelCase__							:				List[Any]   				=  {lang_code: self.encoder_size + i for i, lang_code in enumerate(lowerCamelCase_							)}
         UpperCAmelCase__							:				List[str]   				=  {v: k for k, v in self.lang_token_to_id.items()}

         UpperCAmelCase__							:				Optional[int]   				=  src_lang if src_lang is not None else '''en'''
         UpperCAmelCase__							:				int   				=  tgt_lang
         UpperCAmelCase__							:				int   				=  self.get_lang_id(self._src_lang							)
         self.set_src_lang_special_tokens(self._src_lang							)

         UpperCAmelCase__							:				Optional[int]   				=  num_madeup_words




      @property
      def 		lowerCAmelCase__					(				self							)			->			int:



         '''simple docstring'''



         return len(self.encoder							) + len(self.lang_token_to_id							)




      @property
      def 		lowerCAmelCase__					(				self							)			->			str:



         '''simple docstring'''



         return self._src_lang




      @src_lang.setter
      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			None:



         '''simple docstring'''



         UpperCAmelCase__							:				Union[str, Any]   				=  new_src_lang
         self.set_src_lang_special_tokens(self._src_lang							)




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



         '''simple docstring'''



         return self.sp_model.encode(lowerCamelCase_					,out_type=lowerCamelCase_							)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			Optional[int]:



         '''simple docstring'''



         if token in self.lang_token_to_id:
            return self.lang_token_to_id[token]
         return self.encoder.get(lowerCamelCase_					,self.encoder[self.unk_token]							)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			str:



         '''simple docstring'''



         if index in self.id_to_lang_token:
            return self.id_to_lang_token[index]
         return self.decoder.get(lowerCamelCase_					,self.unk_token							)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			Any:



         '''simple docstring'''



         UpperCAmelCase__							:				Any   				=  []
         UpperCAmelCase__							:				str   				=  ''''''
         for token in tokens:
            # make sure that special tokens are not decoded using sentencepiece model
            if token in self.all_special_tokens:
               out_string += self.sp_model.decode(lowerCamelCase_							) + token
               UpperCAmelCase__							:				str   				=  []
            else:
               current_sub_tokens.append(lowerCamelCase_							)
         out_string += self.sp_model.decode(lowerCamelCase_							)
         return out_string.strip()




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



         '''simple docstring'''



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

         UpperCAmelCase__							:				Dict   				=  [1] * len(self.prefix_tokens							)
         UpperCAmelCase__							:				Optional[Any]   				=  [1] * len(self.suffix_tokens							)
         if token_ids_a is None:
            return prefix_ones + ([0] * len(lowerCamelCase_							)) + suffix_ones
         return prefix_ones + ([0] * len(lowerCamelCase_							)) + ([0] * len(lowerCamelCase_							)) + suffix_ones




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



         '''simple docstring'''



         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							)			->			Dict:



         '''simple docstring'''



         UpperCAmelCase__							:				Tuple   				=  {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							)			->			Dict:



         '''simple docstring'''



         UpperCAmelCase__							:				Optional[int]   				=  self.__dict__.copy()
         UpperCAmelCase__							:				str   				=  None
         return state




      def __setstate__(				self					,lowerCamelCase_							)			->			None:



         '''simple docstring'''



         UpperCAmelCase__							:				int   				=  d

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

         UpperCAmelCase__							:				int   				=  load_spm(self.spm_file					,self.sp_model_kwargs							)




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



         '''simple docstring'''



         UpperCAmelCase__							:				Optional[int]   				=  Path(lowerCamelCase_							)
         if not save_dir.is_dir():
            raise OSError(f'''{save_directory} should be a directory'''							)
         UpperCAmelCase__							:				Optional[int]   				=  save_dir / (
             (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
         )
         UpperCAmelCase__							:				str   				=  save_dir / (
             (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
         )

         save_json(self.encoder					,lowerCamelCase_							)

         if os.path.abspath(self.spm_file							) != os.path.abspath(lowerCamelCase_							) and os.path.isfile(self.spm_file							):
            copyfile(self.spm_file					,lowerCamelCase_							)
         elif not os.path.isfile(self.spm_file							):
            with open(lowerCamelCase_					,'''wb'''							) as fi:
               UpperCAmelCase__							:				str   				=  self.sp_model.serialized_model_proto()
               fi.write(lowerCamelCase_							)

         return (str(lowerCamelCase_							), str(lowerCamelCase_							))




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_					,lowerCamelCase_ = "en"					,lowerCamelCase_ = None					,lowerCamelCase_ = "ro"					,**lowerCamelCase_					,)			->			BatchEncoding:



         '''simple docstring'''



         UpperCAmelCase__							:				int   				=  src_lang
         UpperCAmelCase__							:				Tuple   				=  tgt_lang
         self.set_src_lang_special_tokens(self.src_lang							)
         return super().prepare_seqaseq_batch(lowerCamelCase_					,lowerCamelCase_					,**lowerCamelCase_							)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_					,lowerCamelCase_					,lowerCamelCase_					,**lowerCamelCase_							)			->			Optional[int]:



         '''simple docstring'''



         if src_lang is None or tgt_lang is None:
            raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''							)
         UpperCAmelCase__							:				List[str]   				=  src_lang
         UpperCAmelCase__							:				List[str]   				=  self(lowerCamelCase_					,add_special_tokens=lowerCamelCase_					,**lowerCamelCase_							)
         UpperCAmelCase__							:				Optional[Any]   				=  self.get_lang_id(lowerCamelCase_							)
         UpperCAmelCase__							:				Dict   				=  tgt_lang_id
         return inputs




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



         '''simple docstring'''



         self.set_src_lang_special_tokens(self.src_lang							)




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



         '''simple docstring'''



         self.set_tgt_lang_special_tokens(self.tgt_lang							)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			None:



         '''simple docstring'''



         UpperCAmelCase__							:				List[Any]   				=  self.get_lang_token(lowerCamelCase_							)
         UpperCAmelCase__							:				List[Any]   				=  self.lang_token_to_id[lang_token]
         UpperCAmelCase__							:				Union[str, Any]   				=  [self.cur_lang_id]
         UpperCAmelCase__							:				Dict   				=  [self.eos_token_id]




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			None:



         '''simple docstring'''



         UpperCAmelCase__							:				Any   				=  self.get_lang_token(lowerCamelCase_							)
         UpperCAmelCase__							:				Optional[int]   				=  self.lang_token_to_id[lang_token]
         UpperCAmelCase__							:				Tuple   				=  [self.cur_lang_id]
         UpperCAmelCase__							:				str   				=  [self.eos_token_id]




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			str:



         '''simple docstring'''



         return self.lang_code_to_token[lang]




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			int:



         '''simple docstring'''



         UpperCAmelCase__							:				Union[str, Any]   				=  self.get_lang_token(lowerCamelCase_							)
         return self.lang_token_to_id[lang_token]







def __UpperCamelCase(   _A					:				str  ,			_A					:				Dict[str, Any]    ):
   '''simple docstring'''
   UpperCAmelCase__							:				Dict   				=  sentencepiece.SentencePieceProcessor(**_A    )
   spm.Load(str(_A    )    )
   return spm







def __UpperCamelCase(   _A					:				str    ):
   '''simple docstring'''
   with open(_A  ,			'''r'''    ) as f:
      return json.load(_A    )







def __UpperCamelCase(   _A					:				List[str]  ,			_A					:				str    ):
   '''simple docstring'''
   with open(_A  ,			'''w'''    ) as f:
      json.dump(_A  ,			_A  ,			indent=2    )




