



import json
import os
from typing import Dict, List, Optional, Tuple

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


a_    :  Any						  =		logging.get_logger(__name__)


a_    :  Optional[Any]						  =		{
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

a_    :  Any						  =		{
    'vocab_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'
        ),
    },
    'tokenizer_config_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'
        ),
    },
    'merges_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'
        ),
    },
}

a_    :  int						  =		'</w>'
a_    :  Dict						  =		'@@ '

def      __lowercase(						UpperCAmelCase__			):


      """simple docstring"""



      lowerCamelCase             =		set()
      lowerCamelCase             =		word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)			)
            lowerCamelCase             =		char
      return pairs


# Speech2Text2 has no max input length
a_    :  int						  =		{'facebook/s2t-wav2vec2-large-en-de': 1_0_2_4}






class  lowerCamelCase__	(    UpperCAmelCase_):
     """simple docstring"""



     _A      =      VOCAB_FILES_NAMES
     _A      =      PRETRAINED_VOCAB_FILES_MAP
     _A      =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _A      =      ['input_ids', 'attention_mask']







     def __init__(self					,      __a					,      __a="<s>"					,      __a="<pad>"					,      __a="</s>"					,      __a="<unk>"					,      __a=False					,      __a=None					,      **__a					,      ):






           '''simple docstring'''



           super().__init__(
               unk_token=__a					,      bos_token=__a					,      eos_token=__a					,      pad_token=__a					,      do_lower_case=__a					,      **__a					,      )

           lowerCamelCase             =		do_lower_case

           with open(__a					,      encoding="utf-8"     ) as vocab_handle:
                 lowerCamelCase             =		json.load(__a     )
           lowerCamelCase             =		{v: k for k, v in self.encoder.items()}

           if merges_file is None:
                 logger.info(F"""No merges files provided. {self.__class__.__name__} can only be used for decoding."""     )

                 lowerCamelCase             =		None
                 lowerCamelCase             =		None
           else:
                 with open(__a					,      encoding="utf-8"     ) as merges_handle:
                       lowerCamelCase             =		merges_handle.read().split("\n"     )[:-1]

                 lowerCamelCase             =		[tuple(merge.split()[:2]     ) for merge in merges]
                 lowerCamelCase             =		dict(zip(__a					,      range(len(__a     )     )     )     )
                 lowerCamelCase             =		{}







     @property
     def     _a   (self     ):






           '''simple docstring'''



           return len(self.decoder     )







     def     _a   (self     ):






           '''simple docstring'''



           return dict(self.encoder					,      **self.added_tokens_encoder     )







     def     _a   (self					,      __a     ):






           '''simple docstring'''



           lowerCamelCase             =		tuple(token[:-1]     ) + (token[-1] + BPE_TOKEN_MERGES,)
           if token in self.cache:
                 return self.cache[token]
           lowerCamelCase             =		get_pairs(__a     )

           if not pairs:
                 return token

           while True:
                 lowerCamelCase             =		min(__a					,      key=lambda __a     : self.bpe_ranks.get(__a					,      float("inf"     )     )     )
                 if bigram not in self.bpe_ranks:
                       break
                 lowerCamelCase      ,				lowerCamelCase             =		bigram
                 lowerCamelCase             =		[]
                 lowerCamelCase             =		0
                 while i < len(__a     ):
                       try:
                             lowerCamelCase             =		word.index(__a					,      __a     )
                       except ValueError:
                             new_word.extend(word[i:]     )
                             break
                       else:
                             new_word.extend(word[i:j]     )
                             lowerCamelCase             =		j

                       if word[i] == first and i < len(__a     ) - 1 and word[i + 1] == second:
                             new_word.append(first + second     )
                             i += 2
                       else:
                             new_word.append(word[i]     )
                             i += 1
                 lowerCamelCase             =		tuple(__a     )
                 lowerCamelCase             =		new_word
                 if len(__a     ) == 1:
                       break
                 else:
                       lowerCamelCase             =		get_pairs(__a     )
           lowerCamelCase             =		" ".join(__a     )
           if word == "\n  " + BPE_TOKEN_MERGES:
                 lowerCamelCase             =		"\n" + BPE_TOKEN_MERGES

           if word.endswith(__a     ):
                 lowerCamelCase             =		word.replace(__a					,      ""     )

           lowerCamelCase             =		word.replace(" "					,      __a     )
           lowerCamelCase             =		word
           return word







     def     _a   (self					,      __a     ):






           '''simple docstring'''



           if self.bpe_ranks is None:
                 raise ValueError(
                     "This tokenizer was instantiated without a `merges.txt` file, so"
                     " that it can only be used for decoding, not for encoding."
                     "Make sure to provide `merges.txt` file at instantiation to enable "
                     "encoding."     )

           if self.do_lower_case:
                 lowerCamelCase             =		text.lower()

           lowerCamelCase             =		text.split()

           lowerCamelCase             =		[]
           for token in text:
                 if token:
                       split_tokens.extend(list(self.bpe(__a     ).split(" "     )     )     )

           return split_tokens







     def     _a   (self					,      __a     ):






           '''simple docstring'''



           return self.encoder.get(__a					,      self.encoder.get(self.unk_token     )     )







     def     _a   (self					,      __a     ):






           '''simple docstring'''



           lowerCamelCase             =		self.decoder.get(__a					,      self.unk_token     )
           return result







     def     _a   (self					,      __a     ):






           '''simple docstring'''



           lowerCamelCase             =		" ".join(__a     )

           # make sure @@ tokens are concatenated
           lowerCamelCase             =		"".join(string.split(__a     )     )

           return string







     def     _a   (self					,      __a					,      __a = None     ):






           '''simple docstring'''



           if not os.path.isdir(__a     ):
                 logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""     )
                 return
           lowerCamelCase             =		os.path.join(
               __a					,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]     )
           lowerCamelCase             =		os.path.join(
               __a					,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]     )

           with open(__a					,      "w"					,      encoding="utf-8"     ) as f:
                 f.write(json.dumps(self.encoder					,      indent=2					,      sort_keys=__a					,      ensure_ascii=__a     ) + "\n"     )

           lowerCamelCase             =		0
           if self.bpe_ranks is None:
                 return (vocab_file,)

           with open(__a					,      "w"					,      encoding="utf-8"     ) as writer:
                 for bpe_tokens, token_index in sorted(self.bpe_ranks.items()					,      key=lambda __a     : kv[1]     ):
                       if index != token_index:
                             logger.warning(
                                 F"""Saving vocabulary to {merges_file}: BPE merge indices are not consecutive."""
                                 " Please check that the tokenizer is not corrupted!"     )
                             lowerCamelCase             =		token_index
                       writer.write(" ".join(__a     ) + "\n"     )
                       index += 1

           return (vocab_file, merges_file)




import socket

def      __lowercase(						):


      """simple docstring"""



      lowerCamelCase             =		socket.socket(socket.AF_INET , socket.SOCK_STREAM			)
      lowerCamelCase             =		socket.gethostname()
      lowerCamelCase             =		12312

      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:
                  lowerCamelCase             =		sock.recv(1024			)
                  if not data:
                        break
                  out_file.write(UpperCAmelCase__			)

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


if __name__ == "__main__":
     main()