



'''simple docstring'''





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

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


lowercase_									=    logging.get_logger(__name__)


lowercase_									=    {
    "vocab_file": "vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
    "merges_file": "merges.txt",
}

lowercase_									=    {
    "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"
        ),
    },
}

lowercase_									=    "</w>"
lowercase_									=    "@@ "




def lowerCAmelCase    (__A):



     """simple docstring"""



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


# Speech2Text2 has no max input length
lowercase_									=    {"facebook/s2t-wav2vec2-large-en-de": 1_024}






class __A     (    A		):



 '''simple docstring'''







 __lowerCamelCase       :			Any		=			VOCAB_FILES_NAMES
 __lowerCamelCase       :			Tuple		=			PRETRAINED_VOCAB_FILES_MAP
 __lowerCamelCase       :			Tuple		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCamelCase       :			int		=			['input_ids', 'attention_mask']



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


      """simple docstring"""



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

      _a           =    do_lower_case

      with open(A					,  encoding='''utf-8'''			) as vocab_handle:
           _a           =    json.load(A			)
      _a           =    {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.'''			)

           _a           =    None
           _a           =    None
      else:
           with open(A					,  encoding='''utf-8'''			) as merges_handle:
                _a           =    merges_handle.read().split('''\n'''			)[:-1]

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



 @property
 def    a__    (self			)       ->	int:


      """simple docstring"""



      return len(self.decoder			)



 def    a__    (self			)       ->	Dict:


      """simple docstring"""



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



 def    a__    (self					,  A			)       ->	Any:


      """simple docstring"""



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

      if not pairs:
           return token

      while True:
           _a           =    min(A					,  key=lambda A			: self.bpe_ranks.get(A					,  float('''inf'''			)			)			)
           if bigram not in self.bpe_ranks:
                break
           _a    ,       _a           =    bigram
           _a           =    []
           _a           =    0
           while i < len(A			):
                try:
                     _a           =    word.index(A					,  A			)
                except ValueError:
                     new_word.extend(word[i:]			)
                     break
                else:
                     new_word.extend(word[i:j]			)
                     _a           =    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
           _a           =    tuple(A			)
           _a           =    new_word
           if len(A			) == 1:
                break
           else:
                _a           =    get_pairs(A			)
      _a           =    ''' '''.join(A			)
      if word == "\n  " + BPE_TOKEN_MERGES:
           _a           =    '''\n''' + BPE_TOKEN_MERGES

      if word.endswith(A			):
           _a           =    word.replace(A					,  ''''''			)

      _a           =    word.replace(''' '''					,  A			)
      _a           =    word
      return word



 def    a__    (self					,  A			)       ->	List[str]:


      """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:
           _a           =    text.lower()

      _a           =    text.split()

      _a           =    []
      for token in text:
           if token:
                split_tokens.extend(list(self.bpe(A			).split(''' '''			)			)			)

      return split_tokens



 def    a__    (self					,  A			)       ->	int:


      """simple docstring"""



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



 def    a__    (self					,  A			)       ->	str:


      """simple docstring"""



      _a           =    self.decoder.get(A					,  self.unk_token			)
      return result



 def    a__    (self					,  A			)       ->	str:


      """simple docstring"""



      _a           =    ''' '''.join(A			)

      # make sure @@ tokens are concatenated
      _a           =    ''''''.join(string.split(A			)			)

      return string



 def    a__    (self					,  A					,  A = None			)       ->	Tuple[str]:


      """simple docstring"""



      if not os.path.isdir(A			):
           logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''			)
           return
      _a           =    os.path.join(
          A					,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)
      _a           =    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'''			)

      _a           =    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!'''			)
                     _a           =    token_index
                writer.write(''' '''.join(A			) + '''\n'''			)
                index += 1

      return (vocab_file, merges_file)








'''simple docstring'''





from binascii import hexlify
from hashlib import shaaaa
from os import urandom

# RFC 3526 - More Modular Exponential (MODP) Diffie-Hellman groups for
# Internet Key Exchange (IKE) https://tools.ietf.org/html/rfc3526

lowercase_									=    {
    # 1536-bit
    5: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1"
            + "29024E088A67CC74020BBEA63B139B22514A08798E3404DD"
            + "EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245"
            + "E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED"
            + "EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D"
            + "C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F"
            + "83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA237327FFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
    # 2048-bit
    14: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1"
            + "29024E088A67CC74020BBEA63B139B22514A08798E3404DD"
            + "EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245"
            + "E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED"
            + "EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D"
            + "C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F"
            + "83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B"
            + "E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9"
            + "DE2BCBF6955817183995497CEA956AE515D2261898FA0510"
            + "15728E5A8AACAA68FFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
    # 3072-bit
    15: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1"
            + "29024E088A67CC74020BBEA63B139B22514A08798E3404DD"
            + "EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245"
            + "E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED"
            + "EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D"
            + "C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F"
            + "83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B"
            + "E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9"
            + "DE2BCBF6955817183995497CEA956AE515D2261898FA0510"
            + "15728E5A8AAAC42DAD33170D04507A33A85521ABDF1CBA64"
            + "ECFB850458DBEF0A8AEA71575D060C7DB3970F85A6E1E4C7"
            + "ABF5AE8CDB0933D71E8C94E04A25619DCEE3D2261AD2EE6B"
            + "F12FFA06D98A0864D87602733EC86A64521F2B18177B200C"
            + "BBE117577A615D6C770988C0BAD946E208E24FA074E5AB31"
            + "43DB5BFCE0FD108E4B82D120A93AD2CAFFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
    # 4096-bit
    16: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1"
            + "29024E088A67CC74020BBEA63B139B22514A08798E3404DD"
            + "EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245"
            + "E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED"
            + "EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D"
            + "C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F"
            + "83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B"
            + "E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9"
            + "DE2BCBF6955817183995497CEA956AE515D2261898FA0510"
            + "15728E5A8AAAC42DAD33170D04507A33A85521ABDF1CBA64"
            + "ECFB850458DBEF0A8AEA71575D060C7DB3970F85A6E1E4C7"
            + "ABF5AE8CDB0933D71E8C94E04A25619DCEE3D2261AD2EE6B"
            + "F12FFA06D98A0864D87602733EC86A64521F2B18177B200C"
            + "BBE117577A615D6C770988C0BAD946E208E24FA074E5AB31"
            + "43DB5BFCE0FD108E4B82D120A92108011A723C12A787E6D7"
            + "88719A10BDBA5B2699C327186AF4E23C1A946834B6150BDA"
            + "2583E9CA2AD44CE8DBBBC2DB04DE8EF92E8EFC141FBECAA6"
            + "287C59474E6BC05D99B2964FA090C3A2233BA186515BE7ED"
            + "1F612970CEE2D7AFB81BDD762170481CD0069127D5B05AA9"
            + "93B4EA988D8FDDC186FFB7DC90A6C08F4DF435C934063199"
            + "FFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
    # 6144-bit
    17: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD129024E08"
            + "8A67CC74020BBEA63B139B22514A08798E3404DDEF9519B3CD3A431B"
            + "302B0A6DF25F14374FE1356D6D51C245E485B576625E7EC6F44C42E9"
            + "A637ED6B0BFF5CB6F406B7EDEE386BFB5A899FA5AE9F24117C4B1FE6"
            + "49286651ECE45B3DC2007CB8A163BF0598DA48361C55D39A69163FA8"
            + "FD24CF5F83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA18217C32905E462E36CE3BE39E772C"
            + "180E86039B2783A2EC07A28FB5C55DF06F4C52C9DE2BCBF695581718"
            + "3995497CEA956AE515D2261898FA051015728E5A8AAAC42DAD33170D"
            + "04507A33A85521ABDF1CBA64ECFB850458DBEF0A8AEA71575D060C7D"
            + "B3970F85A6E1E4C7ABF5AE8CDB0933D71E8C94E04A25619DCEE3D226"
            + "1AD2EE6BF12FFA06D98A0864D87602733EC86A64521F2B18177B200C"
            + "BBE117577A615D6C770988C0BAD946E208E24FA074E5AB3143DB5BFC"
            + "E0FD108E4B82D120A92108011A723C12A787E6D788719A10BDBA5B26"
            + "99C327186AF4E23C1A946834B6150BDA2583E9CA2AD44CE8DBBBC2DB"
            + "04DE8EF92E8EFC141FBECAA6287C59474E6BC05D99B2964FA090C3A2"
            + "233BA186515BE7ED1F612970CEE2D7AFB81BDD762170481CD0069127"
            + "D5B05AA993B4EA988D8FDDC186FFB7DC90A6C08F4DF435C934028492"
            + "36C3FAB4D27C7026C1D4DCB2602646DEC9751E763DBA37BDF8FF9406"
            + "AD9E530EE5DB382F413001AEB06A53ED9027D831179727B0865A8918"
            + "DA3EDBEBCF9B14ED44CE6CBACED4BB1BDB7F1447E6CC254B33205151"
            + "2BD7AF426FB8F401378CD2BF5983CA01C64B92ECF032EA15D1721D03"
            + "F482D7CE6E74FEF6D55E702F46980C82B5A84031900B1C9E59E7C97F"
            + "BEC7E8F323A97A7E36CC88BE0F1D45B7FF585AC54BD407B22B4154AA"
            + "CC8F6D7EBF48E1D814CC5ED20F8037E0A79715EEF29BE32806A1D58B"
            + "B7C5DA76F550AA3D8A1FBFF0EB19CCB1A313D55CDA56C9EC2EF29632"
            + "387FE8D76E3C0468043E8F663F4860EE12BF2D5B0B7474D6E694F91E"
            + "6DCC4024FFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
    # 8192-bit
    18: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1"
            + "29024E088A67CC74020BBEA63B139B22514A08798E3404DD"
            + "EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245"
            + "E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED"
            + "EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D"
            + "C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F"
            + "83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B"
            + "E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9"
            + "DE2BCBF6955817183995497CEA956AE515D2261898FA0510"
            + "15728E5A8AAAC42DAD33170D04507A33A85521ABDF1CBA64"
            + "ECFB850458DBEF0A8AEA71575D060C7DB3970F85A6E1E4C7"
            + "ABF5AE8CDB0933D71E8C94E04A25619DCEE3D2261AD2EE6B"
            + "F12FFA06D98A0864D87602733EC86A64521F2B18177B200C"
            + "BBE117577A615D6C770988C0BAD946E208E24FA074E5AB31"
            + "43DB5BFCE0FD108E4B82D120A92108011A723C12A787E6D7"
            + "88719A10BDBA5B2699C327186AF4E23C1A946834B6150BDA"
            + "2583E9CA2AD44CE8DBBBC2DB04DE8EF92E8EFC141FBECAA6"
            + "287C59474E6BC05D99B2964FA090C3A2233BA186515BE7ED"
            + "1F612970CEE2D7AFB81BDD762170481CD0069127D5B05AA9"
            + "93B4EA988D8FDDC186FFB7DC90A6C08F4DF435C934028492"
            + "36C3FAB4D27C7026C1D4DCB2602646DEC9751E763DBA37BD"
            + "F8FF9406AD9E530EE5DB382F413001AEB06A53ED9027D831"
            + "179727B0865A8918DA3EDBEBCF9B14ED44CE6CBACED4BB1B"
            + "DB7F1447E6CC254B332051512BD7AF426FB8F401378CD2BF"
            + "5983CA01C64B92ECF032EA15D1721D03F482D7CE6E74FEF6"
            + "D55E702F46980C82B5A84031900B1C9E59E7C97FBEC7E8F3"
            + "23A97A7E36CC88BE0F1D45B7FF585AC54BD407B22B4154AA"
            + "CC8F6D7EBF48E1D814CC5ED20F8037E0A79715EEF29BE328"
            + "06A1D58BB7C5DA76F550AA3D8A1FBFF0EB19CCB1A313D55C"
            + "DA56C9EC2EF29632387FE8D76E3C0468043E8F663F4860EE"
            + "12BF2D5B0B7474D6E694F91E6DBE115974A3926F12FEE5E4"
            + "38777CB6A932DF8CD8BEC4D073B931BA3BC832B68D9DD300"
            + "741FA7BF8AFC47ED2576F6936BA424663AAB639C5AE4F568"
            + "3423B4742BF1C978238F16CBE39D652DE3FDB8BEFC848AD9"
            + "22222E04A4037C0713EB57A81A23F0C73473FC646CEA306B"
            + "4BCBC8862F8385DDFA9D4B7FA2C087E879683303ED5BDD3A"
            + "062B3CF5B3A278A66D2A13F83F44F82DDF310EE074AB6A36"
            + "4597E899A0255DC164F31CC50846851DF9AB48195DED7EA1"
            + "B1D510BD7EE74D73FAF36BC31ECFA268359046F4EB879F92"
            + "4009438B481C6CD7889A002ED5EE382BC9190DA6FC026E47"
            + "9558E4475677E9AA9E3050E2765694DFC81F56E880B96E71"
            + "60C980DD98EDD3DFFFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
}






class __A     :



 '''simple docstring'''







 def __init__(self					,  A = 14			)       ->	None:


      """simple docstring"""



      if group not in primes:
           raise ValueError('''Unsupported Group'''			)
      _a           =    primes[group]['''prime''']
      _a           =    primes[group]['''generator''']

      _a           =    int(hexlify(urandom(32			)			)					,  base=16			)



 def    a__    (self			)       ->	str:


      """simple docstring"""



      return hex(self.__private_key			)[2:]



 def    a__    (self			)       ->	str:


      """simple docstring"""



      _a           =    pow(self.generator					,  self.__private_key					,  self.prime			)
      return hex(A			)[2:]



 def    a__    (self					,  A			)       ->	bool:


      """simple docstring"""



      return (
          2 <= key <= self.prime - 2
          and pow(A					,  (self.prime - 1) // 2					,  self.prime			) == 1
      )



 def    a__    (self					,  A			)       ->	str:


      """simple docstring"""



      _a           =    int(A					,  base=16			)
      if not self.is_valid_public_key(A			):
           raise ValueError('''Invalid public key'''			)
      _a           =    pow(A					,  self.__private_key					,  self.prime			)
      return shaaaa(str(A			).encode()			).hexdigest()



 @staticmethod
 def    a__    (A					,  A			)       ->	bool:


      """simple docstring"""



      return (
          2 <= remote_public_key_str <= prime - 2
          and pow(A					,  (prime - 1) // 2					,  A			) == 1
      )



 @staticmethod
 def    a__    (A					,  A					,  A = 14			)       ->	str:


      """simple docstring"""



      _a           =    int(A					,  base=16			)
      _a           =    int(A					,  base=16			)
      _a           =    primes[group]['''prime''']
      if not DiffieHellman.is_valid_public_key_static(A					,  A			):
           raise ValueError('''Invalid public key'''			)
      _a           =    pow(A					,  A					,  A			)
      return shaaaa(str(A			).encode()			).hexdigest()


if __name__ == "__main__":
  import doctest

  doctest.testmod()



