





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

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
    from .tokenization_mbart import MBartTokenizer
else:
    snake_case_				=			None


snake_case_				=			logging.get_logger(__name__)


snake_case_				=			{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

snake_case_				=			{
    'vocab_file': {
        'facebook/mbart-large-en-ro': (
            'https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model'
        ),
        'facebook/mbart-large-cc25': (
            'https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model'
        ),
    },
    'tokenizer_file': {
        'facebook/mbart-large-en-ro': 'https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json',
        'facebook/mbart-large-cc25': 'https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json',
    },
}

snake_case_				=			{
    'facebook/mbart-large-en-ro': 1024,
    'facebook/mbart-large-cc25': 1024,
}

# fmt: off
snake_case_				=			['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']

class 		SCREAMING_SNAKE_CASE__				(       _UpperCAmelCase  ):
      A_						:				Dict							=    VOCAB_FILES_NAMES
      A_						:				Optional[int]							=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      A_						:				str							=    PRETRAINED_VOCAB_FILES_MAP
      A_						:				int							=    ['input_ids', 'attention_mask']
      A_						:				Tuple							=    MBartTokenizer

      A_						:				List[int]							=    []
      A_						:				List[int]							=    []


      def __init__(self       :      Optional[int]				,			a__       :      str=None				,			a__       :      int=None				,			a__       :      Any="<s>"				,			a__       :      Any="</s>"				,			a__       :      Any="</s>"				,			a__       :      List[str]="<s>"				,			a__       :      List[str]="<unk>"				,			a__       :      Dict="<pad>"				,			a__       :      List[Any]="<mask>"				,			a__       :      Union[str, Any]=None				,			a__       :      Any=None				,			a__       :      Union[str, Any]=None				,			**a__       :      int				,			):





         """simple docstring"""



         __snake_case							       =   AddedToken(a__				,			lstrip=a__				,			rstrip=a__      ) if isinstance(a__				,			a__      ) else mask_token

         super().__init__(
             vocab_file=a__				,			tokenizer_file=a__				,			bos_token=a__				,			eos_token=a__				,			sep_token=a__				,			cls_token=a__				,			unk_token=a__				,			pad_token=a__				,			mask_token=a__				,			src_lang=a__				,			tgt_lang=a__				,			additional_special_tokens=a__				,			**a__				,			)

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

         __snake_case							       =   FAIRSEQ_LANGUAGE_CODES.copy()

         if additional_special_tokens is not None:
            # Only add those special tokens if they are not already there.
            _additional_special_tokens.extend(
                [t for t in additional_special_tokens if t not in _additional_special_tokens]      )

         self.add_special_tokens({'''additional_special_tokens''': _additional_special_tokens}      )
         __snake_case							       =   {
             lang_code: self.convert_tokens_to_ids(a__      ) for lang_code in FAIRSEQ_LANGUAGE_CODES
         }

         __snake_case							       =   src_lang if src_lang is not None else '''en_XX'''
         __snake_case							       =   self.convert_tokens_to_ids(self._src_lang      )
         __snake_case							       =   tgt_lang
         self.set_src_lang_special_tokens(self._src_lang      )


      @property
      def    a (self       :      Optional[int]      ):





         """simple docstring"""



         return self._src_lang


      @src_lang.setter
      def    a (self       :      Tuple				,			a__       :      str      ):





         """simple docstring"""



         __snake_case							       =   new_src_lang
         self.set_src_lang_special_tokens(self._src_lang      )


      def    a (self       :      Tuple				,			a__       :      List[int]				,			a__       :      Optional[List[int]] = None      ):





         """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    a (self       :      List[Any]				,			a__       :      List[int]				,			a__       :      Optional[List[int]] = None      ):





         """simple docstring"""



         __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    a (self       :      List[Any]				,			a__       :      Optional[Any]				,			a__       :      str				,			a__       :      Optional[str]				,			a__       :      Optional[str]				,			**a__       :      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'''      )
         __snake_case							       =   src_lang
         __snake_case							       =   self(a__				,			add_special_tokens=a__				,			return_tensors=a__				,			**a__      )
         __snake_case							       =   self.convert_tokens_to_ids(a__      )
         __snake_case							       =   tgt_lang_id
         return inputs


      def    a (self       :      Tuple				,			a__       :      List[str]				,			a__       :      str = "en_XX"				,			a__       :      Optional[List[str]] = None				,			a__       :      str = "ro_RO"				,			**a__       :      Tuple				,			):





         """simple docstring"""



         __snake_case							       =   src_lang
         __snake_case							       =   tgt_lang
         return super().prepare_seqaseq_batch(a__				,			a__				,			**a__      )


      def    a (self       :      str      ):





         """simple docstring"""



         return self.set_src_lang_special_tokens(self.src_lang      )


      def    a (self       :      List[Any]      ):





         """simple docstring"""



         return self.set_tgt_lang_special_tokens(self.tgt_lang      )


      def    a (self       :      Optional[int]				,			a__       :      str      ):





         """simple docstring"""



         __snake_case							       =   self.convert_tokens_to_ids(a__      )
         __snake_case							       =   []
         __snake_case							       =   [self.eos_token_id, self.cur_lang_code]

         __snake_case							       =   self.convert_ids_to_tokens(self.prefix_tokens      )
         __snake_case							       =   self.convert_ids_to_tokens(self.suffix_tokens      )

         __snake_case							       =   processors.TemplateProcessing(
             single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str				,			pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str				,			special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str				,			self.prefix_tokens + self.suffix_tokens      )      )				,			)


      def    a (self       :      Union[str, Any]				,			a__       :      str      ):





         """simple docstring"""



         __snake_case							       =   self.convert_tokens_to_ids(a__      )
         __snake_case							       =   []
         __snake_case							       =   [self.eos_token_id, self.cur_lang_code]

         __snake_case							       =   self.convert_ids_to_tokens(self.prefix_tokens      )
         __snake_case							       =   self.convert_ids_to_tokens(self.suffix_tokens      )

         __snake_case							       =   processors.TemplateProcessing(
             single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str				,			pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str				,			special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str				,			self.prefix_tokens + self.suffix_tokens      )      )				,			)


      def    a (self       :      int				,			a__       :      str				,			a__       :      Optional[str] = None      ):





         """simple docstring"""



         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(a__      ):
            logger.error(f"""Vocabulary path ({save_directory}) should be a directory."""      )
            return
         __snake_case							       =   os.path.join(
             a__				,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )

         if os.path.abspath(self.vocab_file      ) != os.path.abspath(a__      ):
            copyfile(self.vocab_file				,			a__      )

         return (out_vocab_file,)








import socket






def lowerCamelCase__    (							)      ->				Any:
   __snake_case							       =   socket.socket(socket.AF_INET       ,      socket.SOCK_STREAM       )
   __snake_case							       =   socket.gethostname()
   __snake_case							       =   1_2312

   sock.connect((host, port)       )
   sock.send(B'''Hello server!'''       )

   with open('''Received_file'''       ,      '''wb'''       ) as out_file:
      print('''File opened'''       )
      print('''Receiving data...'''       )
      while True:
         __snake_case							       =   sock.recv(1024       )
         if not data:
            break
         out_file.write(snake_case_       )

   print('''Successfully received the file'''       )
   sock.close()
   print('''Connection closed'''       )


if __name__ == "__main__":
    main()

