





'''simple docstring'''
import json
import os
from typing import List, Optional, Tuple

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


a__							:							Optional[int]			=logging.get_logger(__name__)

a__							:							Optional[int]			={
    '''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__							:							Optional[Any]			={
    '''microsoft/biogpt''': 1_024,
}
def     lowercase__       (       __lowercase						:  List[str]					)			->				int:



       """simple docstring"""






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


class 					snake_case					(   __lowerCamelCase	):




 """simple docstring"""



 SCREAMING_SNAKE_CASE_     : Optional[Any]      		=VOCAB_FILES_NAMES
 SCREAMING_SNAKE_CASE_     : Optional[Any]      		=PRETRAINED_VOCAB_FILES_MAP
 SCREAMING_SNAKE_CASE_     : List[str]      		=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 SCREAMING_SNAKE_CASE_     : Any      		=["input_ids", "attention_mask"]






 def __init__(	self	:							Dict							,     __A	:							str							,     __A	:							Optional[int]							,     __A	:							Optional[int]="<unk>"							,     __A	:							Optional[Any]="<s>"							,     __A	:							List[str]="</s>"							,     __A	:							List[str]="</s>"							,     __A	:							Tuple="<pad>"							,     **__A	:							Optional[Any]							,     ):
        super().__init__(
            bos_token=__A							,     eos_token=__A							,     sep_token=__A							,     unk_token=__A							,     pad_token=__A							,     **__A							,     )

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

        __UpperCamelCase	=  'en'
        __UpperCamelCase	=  sacremoses
        # cache of sm.MosesTokenizer instance
        __UpperCamelCase	=  {}
        __UpperCamelCase	=  {}
        with open(__A							,     encoding='utf-8'     ) as vocab_handle:
               __UpperCamelCase	=  json.load(__A     )
        __UpperCamelCase	=  {v: k for k, v in self.encoder.items()}
        with open(__A							,     encoding='utf-8'     ) as merges_handle:
               __UpperCamelCase	=  merges_handle.read().split('\n'     )[:-1]
        __UpperCamelCase	=  [tuple(merge.split()[:2]     ) for merge in merges]
        __UpperCamelCase	=  dict(zip(__A							,     range(len(__A     )     )     )     )
        __UpperCamelCase	=  {}






 @property
 def 	_lowerCamelCase (	self	:							List[str]     ):
        return len(self.encoder     )






 def 	_lowerCamelCase (	self	:							Tuple     ):
        return dict(self.encoder							,     **self.added_tokens_encoder     )






 def 	_lowerCamelCase (	self	:							List[str]							,     __A	:							Optional[int]							,     __A	:							List[str]     ):
        if lang not in self.cache_moses_tokenizer:
               __UpperCamelCase	=  self.sm.MosesTokenizer(lang=__A     )
               __UpperCamelCase	=  moses_tokenizer
        return self.cache_moses_tokenizer[lang].tokenize(
            __A							,     aggressive_dash_splits=__A							,     return_str=__A							,     escape=__A     )






 def 	_lowerCamelCase (	self	:							Any							,     __A	:							Tuple							,     __A	:							Optional[Any]     ):
        if lang not in self.cache_moses_detokenizer:
               __UpperCamelCase	=  self.sm.MosesDetokenizer(lang=__A     )
               __UpperCamelCase	=  moses_detokenizer
        return self.cache_moses_detokenizer[lang].detokenize(__A     )






 def 	_lowerCamelCase (	self	:							Dict							,     __A	:							Dict     ):
        __UpperCamelCase	=  tuple(token[:-1]     ) + (token[-1] + '</w>',)
        if token in self.cache:
               return self.cache[token]
        __UpperCamelCase	=  get_pairs(__A     )

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

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






 def 	_lowerCamelCase (	self	:							str							,     __A	:							str							,     __A	:							List[str]=False     ):
        if bypass_tokenizer:
               __UpperCamelCase	=  text.split()
        else:
               __UpperCamelCase	=  self.moses_tokenize(__A							,     self.lang     )

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

        return split_tokens






 def 	_lowerCamelCase (	self	:							int							,     __A	:							Tuple     ):
        return self.encoder.get(__A							,     self.encoder.get(self.unk_token     )     )






 def 	_lowerCamelCase (	self	:							Dict							,     __A	:							Tuple     ):
        return self.decoder.get(__A							,     self.unk_token     )






 def 	_lowerCamelCase (	self	:							Optional[Any]							,     __A	:							List[str]     ):
        __UpperCamelCase	=  [t.replace(' '							,     ''     ).replace('</w>'							,     ' '     ) for t in tokens]
        __UpperCamelCase	=  ''.join(__A     ).split()
        # detokenize
        __UpperCamelCase	=  self.moses_detokenize(__A							,     self.lang     )
        return text






 def 	_lowerCamelCase (	self	:							List[Any]							,     __A	:							List[int]							,     __A	:							Optional[List[int]] = None     ):
        if token_ids_a is None:
               return [self.sep_token_id] + token_ids_a
        __UpperCamelCase	=  [self.sep_token_id]
        return sep + token_ids_a + sep + token_ids_a






 def 	_lowerCamelCase (	self	:							List[str]							,     __A	:							List[int]							,     __A	:							Optional[List[int]] = None							,     __A	:							bool = False     ):
        if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=__A							,     token_ids_a=__A							,     already_has_special_tokens=__A     )
        # no bos used in fairseq
        if token_ids_a is not None:
               return [1] + ([0] * len(__A     )) + [1] + ([0] * len(__A     ))
        return [1] + ([0] * len(__A     ))






 def 	_lowerCamelCase (	self	:							int							,     __A	:							List[int]							,     __A	:							Optional[List[int]] = None     ):
        __UpperCamelCase	=  [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 	_lowerCamelCase (	self	:							Any							,     __A	:							str							,     __A	:							Optional[str] = None     ):
        if not os.path.isdir(__A     ):
               logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''     )
               return
        __UpperCamelCase	=  os.path.join(
            __A							,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']     )
        __UpperCamelCase	=  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'     )

        __UpperCamelCase	=  0
        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 {merge_file}: BPE merge indices are not consecutive.'''
                                 ' Please check that the tokenizer is not corrupted!'     )
                             __UpperCamelCase	=  token_index
                      writer.write(' '.join(__A     ) + '\n'     )
                      index += 1

        return vocab_file, merge_file






 def __getstate__(	self	:							Union[str, Any]     ):
        __UpperCamelCase	=  self.__dict__.copy()
        __UpperCamelCase	=  None
        return state






 def __setstate__(	self	:							str							,     __A	:							Tuple     ):
        __UpperCamelCase	=  d

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

        __UpperCamelCase	=  sacremoses







'''simple docstring'''
def     lowercase__       (       __lowercase						:  int = 20					)			->				int:



       """simple docstring"""






       try:
              __UpperCamelCase	=  int(__lowercase					)
       except (TypeError, ValueError):
              raise TypeError('Parameter n must be int or castable to int.'					)
       if n <= 0:
              raise ValueError('Parameter n must be greater than or equal to one.'					)
       __UpperCamelCase	=  0
       while 1:
              i += n * (n - 1)
              __UpperCamelCase	=  0
              for j in range(2    ,  __lowercase					):
                     if i % j != 0:
                            __UpperCamelCase	=  1
                            break
              if nfound == 0:
                     if i == 0:
                            __UpperCamelCase	=  1
                     return i
       return None


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