





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

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


a__			:    str			      =		logging.get_logger(__name__)

a__			:    Tuple			      =		{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

a__			:    Union[str, Any]			      =		{
    'vocab_file': {
        'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json',
    },
    'merges_file': {'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt'},
}

a__			:    Any			      =		{
    'microsoft/biogpt': 1024,
}

def     UpperCAmelCase_						(						_UpperCAmelCase       :List[Any]							)  ->							Union[str, Any]:
     '''simple docstring'''


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





class UpperCAmelCase_							(   _SCREAMING_SNAKE_CASE   ):
  __lowerCAmelCase      :	List[str]  	=      VOCAB_FILES_NAMES
  __lowerCAmelCase      :	Optional[int]  	=      PRETRAINED_VOCAB_FILES_MAP
  __lowerCAmelCase      :	Tuple  	=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowerCAmelCase      :	Union[str, Any]  	=      ["""input_ids""", """attention_mask"""]


  def __init__(       self   ,__snake_case   ,__snake_case   ,__snake_case="<unk>"   ,__snake_case="<s>"   ,__snake_case="</s>"   ,__snake_case="</s>"   ,__snake_case="<pad>"   ,**__snake_case   ,):



       """simple docstring"""





       super().__init__(
           bos_token=__snake_case   ,eos_token=__snake_case   ,sep_token=__snake_case   ,unk_token=__snake_case   ,pad_token=__snake_case   ,**__snake_case   ,)

       try:
            import sacremoses
       except ImportError:
            raise ImportError(
                '''You need to install sacremoses to use BioGptTokenizer. '''
                '''See https://pypi.org/project/sacremoses/ for installation.'''   )

       A_					      =					'''en'''
       A_					      =					sacremoses
       # cache of sm.MosesTokenizer instance
       A_					      =					{}
       A_					      =					{}
       with open(__snake_case   ,encoding='''utf-8'''   ) as vocab_handle:
            A_					      =					json.load(__snake_case   )
       A_					      =					{v: k for k, v in self.encoder.items()}
       with open(__snake_case   ,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(__snake_case   ,range(len(__snake_case   )   )   )   )
       A_					      =					{}


  @property
  def 	__UpperCAmelCase    (       self   ):



       """simple docstring"""





       return len(self.encoder   )


  def 	__UpperCAmelCase    (       self   ):



       """simple docstring"""





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


  def 	__UpperCAmelCase    (       self   ,__snake_case   ,__snake_case   ):



       """simple docstring"""





       if lang not in self.cache_moses_tokenizer:
            A_					      =					self.sm.MosesTokenizer(lang=__snake_case   )
            A_					      =					moses_tokenizer
       return self.cache_moses_tokenizer[lang].tokenize(
           __snake_case   ,aggressive_dash_splits=__snake_case   ,return_str=__snake_case   ,escape=__snake_case   )


  def 	__UpperCAmelCase    (       self   ,__snake_case   ,__snake_case   ):



       """simple docstring"""





       if lang not in self.cache_moses_detokenizer:
            A_					      =					self.sm.MosesDetokenizer(lang=__snake_case   )
            A_					      =					moses_detokenizer
       return self.cache_moses_detokenizer[lang].detokenize(__snake_case   )


  def 	__UpperCAmelCase    (       self   ,__snake_case   ):



       """simple docstring"""





       A_					      =					tuple(token[:-1]   ) + (token[-1] + '''</w>''',)
       if token in self.cache:
            return self.cache[token]
       A_					      =					get_pairs(__snake_case   )

       if not pairs:
            return token + "</w>"

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

                 if word[i] == first and i < len(__snake_case   ) - 1 and word[i + 1] == second:
                      new_word.append(first + second   )
                      i += 2
                 else:
                      new_word.append(word[i]   )
                      i += 1
            A_					      =					tuple(__snake_case   )
            A_					      =					new_word
            if len(__snake_case   ) == 1:
                 break
            else:
                 A_					      =					get_pairs(__snake_case   )
       A_					      =					''' '''.join(__snake_case   )
       if word == "\n  </w>":
            A_					      =					'''\n</w>'''
       A_					      =					word
       return word


  def 	__UpperCAmelCase    (       self   ,__snake_case   ,__snake_case=False   ):



       """simple docstring"""





       if bypass_tokenizer:
            A_					      =					text.split()
       else:
            A_					      =					self.moses_tokenize(__snake_case   ,self.lang   )

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

       return split_tokens


  def 	__UpperCAmelCase    (       self   ,__snake_case   ):



       """simple docstring"""





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


  def 	__UpperCAmelCase    (       self   ,__snake_case   ):



       """simple docstring"""





       return self.decoder.get(__snake_case   ,self.unk_token   )


  def 	__UpperCAmelCase    (       self   ,__snake_case   ):



       """simple docstring"""





       A_					      =					[t.replace(''' '''   ,''''''   ).replace('''</w>'''   ,''' '''   ) for t in tokens]
       A_					      =					''''''.join(__snake_case   ).split()
       # detokenize
       A_					      =					self.moses_detokenize(__snake_case   ,self.lang   )
       return text


  def 	__UpperCAmelCase    (       self   ,__snake_case   ,__snake_case = None   ):



       """simple docstring"""





       if token_ids_a is None:
            return [self.sep_token_id] + token_ids_a
       A_					      =					[self.sep_token_id]
       return sep + token_ids_a + sep + token_ids_a


  def 	__UpperCAmelCase    (       self   ,__snake_case   ,__snake_case = None   ,__snake_case = False   ):



       """simple docstring"""





       if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=__snake_case   ,token_ids_a=__snake_case   ,already_has_special_tokens=__snake_case   )
       # no bos used in fairseq
       if token_ids_a is not None:
            return [1] + ([0] * len(__snake_case   )) + [1] + ([0] * len(__snake_case   ))
       return [1] + ([0] * len(__snake_case   ))


  def 	__UpperCAmelCase    (       self   ,__snake_case   ,__snake_case = None   ):



       """simple docstring"""





       A_					      =					[self.sep_token_id]

       # no bos used in fairseq
       if token_ids_a is None:
            return len(token_ids_a + sep   ) * [0]
       return len(token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]


  def 	__UpperCAmelCase    (       self   ,__snake_case   ,__snake_case = None   ):



       """simple docstring"""





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

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

       A_					      =					0
       with open(__snake_case   ,'''w'''   ,encoding='''utf-8'''   ) as writer:
            for bpe_tokens, token_index in sorted(self.bpe_ranks.items()   ,key=lambda __snake_case   : kv[1]   ):
                 if index != token_index:
                      logger.warning(
                          f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
                          ''' Please check that the tokenizer is not corrupted!'''   )
                      A_					      =					token_index
                 writer.write(''' '''.join(__snake_case   ) + '''\n'''   )
                 index += 1

       return vocab_file, merge_file


  def __getstate__(       self   ):



       """simple docstring"""





       A_					      =					self.__dict__.copy()
       A_					      =					None
       return state




  def __setstate__(       self   ,__snake_case   ):



       """simple docstring"""





       A_					      =					d

       try:
            import sacremoses
       except ImportError:
            raise ImportError(
                '''You need to install sacremoses to use XLMTokenizer. '''
                '''See https://pypi.org/project/sacremoses/ for installation.'''   )

       A_					      =					sacremoses






from __future__ import annotations

def     UpperCAmelCase_						(						_UpperCAmelCase       :list[int | float]							)  ->							int | float:
     '''simple docstring'''


     if len(_UpperCAmelCase							) == 0:
          raise ValueError('''find_max() arg is an empty sequence'''							)
     A_					      =					nums[0]
     for x in nums:
          if x > max_num:
               A_					      =					x
     return max_num


if __name__ == "__main__":
      import doctest

      doctest.testmod(verbose=True)



