
'''simple docstring'''






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

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


UpperCAmelCase_       :   str   =       logging.get_logger(__name__)


UpperCAmelCase_       :   List[str]   =       {
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

UpperCAmelCase_       :   Optional[int]   =       {
    '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'
        ),
    },
}

UpperCAmelCase_       :   Tuple   =       '</w>'
UpperCAmelCase_       :   Optional[Any]   =       '@@ '







def 		A_       (	_lowerCAmelCase   :    List[str]							):



      """simple docstring"""




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


# Speech2Text2 has no max input length
UpperCAmelCase_       :   Union[str, Any]   =       {'facebook/s2t-wav2vec2-large-en-de': 1024}



class  UpperCAmelCase__						(       A ):
    lowerCAmelCase_				    =		VOCAB_FILES_NAMES
    lowerCAmelCase_				    =		PRETRAINED_VOCAB_FILES_MAP
    lowerCAmelCase_				    =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCAmelCase_				    =		['input_ids', 'attention_mask']



    def __init__(	self      :       Any,__A      :       Optional[Any],__A      :       List[Any]="<s>",__A      :       Tuple="<pad>",__A      :       Optional[int]="</s>",__A      :       Dict="<unk>",__A      :       Union[str, Any]=False,__A      :       str=None,**__A      :       Optional[Any],):
          super().__init__(
              unk_token=__A,bos_token=__A,eos_token=__A,pad_token=__A,do_lower_case=__A,**__A,)

          _lowerCamelCase				:   int								=   do_lower_case

          with open(__A,encoding="utf-8"     ) as vocab_handle:
                _lowerCamelCase				:   List[Any]								=   json.load(__A     )
          _lowerCamelCase				:   str								=   {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				:   List[Any]								=   None
                _lowerCamelCase				:   str								=   None
          else:
                with open(__A,encoding="utf-8"     ) as merges_handle:
                      _lowerCamelCase				:   Optional[Any]								=   merges_handle.read().split("\n"     )[:-1]

                _lowerCamelCase				:   List[Any]								=   [tuple(merge.split()[:2]     ) for merge in merges]
                _lowerCamelCase				:   List[Any]								=   dict(zip(__A,range(len(__A     )     )     )     )
                _lowerCamelCase				:   Tuple								=   {}



    @property
    def   lowerCamelCase_  (	self      :       Optional[int]     ):
          return len(self.decoder     )



    def   lowerCamelCase_  (	self      :       Any     ):
          return dict(self.encoder,**self.added_tokens_encoder     )



    def   lowerCamelCase_  (	self      :       int,__A      :       List[Any]     ):
          _lowerCamelCase				:   Tuple								=   tuple(token[:-1]     ) + (token[-1] + BPE_TOKEN_MERGES,)
          if token in self.cache:
                return self.cache[token]
          _lowerCamelCase				:   Optional[Any]								=   get_pairs(__A     )

          if not pairs:
                return token

          while True:
                _lowerCamelCase				:   Any								=   min(__A,key=lambda __A     : self.bpe_ranks.get(__A,float("inf"     )     )     )
                if bigram not in self.bpe_ranks:
                      break
                _lowerCamelCase						,		_lowerCamelCase				:   Optional[Any]								=   bigram
                _lowerCamelCase				:   Optional[Any]								=   []
                _lowerCamelCase				:   Any								=   0
                while i < len(__A     ):
                      try:
                            _lowerCamelCase				:   Tuple								=   word.index(__A,__A     )
                      except ValueError:
                            new_word.extend(word[i:]     )
                            break
                      else:
                            new_word.extend(word[i:j]     )
                            _lowerCamelCase				:   Union[str, Any]								=   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				:   List[str]								=   tuple(__A     )
                _lowerCamelCase				:   Dict								=   new_word
                if len(__A     ) == 1:
                      break
                else:
                      _lowerCamelCase				:   List[Any]								=   get_pairs(__A     )
          _lowerCamelCase				:   Dict								=   " ".join(__A     )
          if word == "\n  " + BPE_TOKEN_MERGES:
                _lowerCamelCase				:   Any								=   "\n" + BPE_TOKEN_MERGES

          if word.endswith(__A     ):
                _lowerCamelCase				:   List[str]								=   word.replace(__A,""     )

          _lowerCamelCase				:   List[Any]								=   word.replace(" ",__A     )
          _lowerCamelCase				:   Tuple								=   word
          return word



    def   lowerCamelCase_  (	self      :       Any,__A      :       Optional[int]     ):

          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				:   List[Any]								=   text.lower()

          _lowerCamelCase				:   Optional[int]								=   text.split()

          _lowerCamelCase				:   Optional[int]								=   []
          for token in text:
                if token:
                      split_tokens.extend(list(self.bpe(__A     ).split(" "     )     )     )

          return split_tokens



    def   lowerCamelCase_  (	self      :       int,__A      :       str     ):
          return self.encoder.get(__A,self.encoder.get(self.unk_token     )     )



    def   lowerCamelCase_  (	self      :       List[str],__A      :       int     ):
          _lowerCamelCase				:   List[Any]								=   self.decoder.get(__A,self.unk_token     )
          return result



    def   lowerCamelCase_  (	self      :       int,__A      :       List[str]     ):
          _lowerCamelCase				:   List[str]								=   " ".join(__A     )

          # make sure @@ tokens are concatenated
          _lowerCamelCase				:   int								=   "".join(string.split(__A     )     )

          return string



    def   lowerCamelCase_  (	self      :       Tuple,__A      :       str,__A      :       Optional[str] = None     ):
          if not os.path.isdir(__A     ):
                logger.error(f'Vocabulary path ({save_directory}) should be a directory'     )
                return
          _lowerCamelCase				:   Union[str, Any]								=   os.path.join(
              __A,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]     )
          _lowerCamelCase				:   Any								=   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				:   Dict								=   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				:   Any								=   token_index
                      writer.write(" ".join(__A     ) + "\n"     )
                      index += 1

          return (vocab_file, merges_file)

'''simple docstring'''






import math







def 		A_       (	_lowerCAmelCase   :    int							):



      """simple docstring"""




      _lowerCamelCase				:   Optional[int]								=   math.loga(math.sqrt(4 * positive_integer + 1							) / 2 + 1 / 2							)

      return exponent == int(_lowerCAmelCase							)







def 		A_       (	_lowerCAmelCase   :    float = 1 / 12345							):



      """simple docstring"""




      _lowerCamelCase				:   Optional[int]								=   0
      _lowerCamelCase				:   int								=   0

      _lowerCamelCase				:   List[str]								=   3
      while True:
            _lowerCamelCase				:   List[Any]								=   (integer**2 - 1) / 4
            # if candidate is an integer, then there is a partition for k
            if partition_candidate == int(_lowerCAmelCase							):
                  _lowerCamelCase				:   Any								=   int(_lowerCAmelCase							)
                  total_partitions += 1
                  if check_partition_perfect(_lowerCAmelCase							):
                        perfect_partitions += 1
            if perfect_partitions > 0:
                  if perfect_partitions / total_partitions < max_proportion:
                        return int(_lowerCAmelCase							)
            integer += 1


if __name__ == "__main__":
 print(f'''{solution() = }''')