


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

import regex as re

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


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


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

SCREAMING_SNAKE_CASE__					:     List[str]       =     {
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

SCREAMING_SNAKE_CASE__					:     Optional[Any]       =     {'facebook/blenderbot_small-90M': 512}




def    a__    (		snake_case__					:							Any     ):
  _UpperCAmelCase		:							Dict							=     set()
  _UpperCAmelCase		:							List[str]							=     word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)     )
    _UpperCAmelCase		:							Any							=     char

  _UpperCAmelCase		:							Union[str, Any]							=     set(snake_case__     )
  return pairs





class 		_SCREAMING_SNAKE_CASE     (						A     ):
     __SCREAMING_SNAKE_CASE     					=    VOCAB_FILES_NAMES
     __SCREAMING_SNAKE_CASE     					=    PRETRAINED_VOCAB_FILES_MAP
     __SCREAMING_SNAKE_CASE     					=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __SCREAMING_SNAKE_CASE     					=    ['''input_ids''', '''attention_mask''']


     def __init__(  self							,					A_							,					A_							,					A_="__start__"							,					A_="__end__"							,					A_="__unk__"							,					A_="__null__"							,					**A_							,					):
       super().__init__(unk_token=A_							,					bos_token=A_							,					eos_token=A_							,					pad_token=A_							,					**A_    )

       with open(A_							,					encoding="""utf-8"""    ) as vocab_handle:
         _UpperCAmelCase		:							Tuple							=     json.load(A_    )
       _UpperCAmelCase		:							Optional[int]							=     {v: k for k, v in self.encoder.items()}
       with open(A_							,					encoding="""utf-8"""    ) as merges_handle:
         _UpperCAmelCase		:							Dict							=     merges_handle.read().split("""\n"""    )[1:-1]
       _UpperCAmelCase		:							Any							=     [tuple(merge.split()    ) for merge in merges]
       _UpperCAmelCase		:							Dict							=     dict(zip(A_							,					range(len(A_    )    )    )    )
       _UpperCAmelCase		:							Union[str, Any]							=     {}


     @property
     def        __snake_case(  self    ):
       return len(self.encoder    )


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


     def        __snake_case(  self							,					A_    ):
       if token in self.cache:
         return self.cache[token]
       _UpperCAmelCase		:							int							=     re.sub("""([.,!?()])"""							,					r""" \1"""							,					A_    )
       _UpperCAmelCase		:							Tuple							=     re.sub("""(')"""							,					r""" \1 """							,					A_    )
       _UpperCAmelCase		:							Optional[Any]							=     re.sub(r"""\s{2,}"""							,					""" """							,					A_    )
       if "\n" in token:
         _UpperCAmelCase		:							Optional[Any]							=     token.replace("""\n"""							,					""" __newln__"""    )

       _UpperCAmelCase		:							str							=     token.split(""" """    )
       _UpperCAmelCase		:							List[Any]							=     []
       for token in tokens:
         if not len(A_    ):
           continue

         _UpperCAmelCase		:							Union[str, Any]							=     token.lower()
         _UpperCAmelCase		:							List[str]							=     tuple(A_    )
         _UpperCAmelCase		:							List[str]							=     tuple(list(word[:-1]    ) + [word[-1] + """</w>"""]    )
         _UpperCAmelCase		:							Any							=     get_pairs(A_    )

         if not pairs:
           words.append(A_    )
           continue

         while True:
           _UpperCAmelCase		:							Tuple							=     min(A_							,					key=lambda A_    : self.bpe_ranks.get(A_							,					float("""inf"""    )    )    )
           if bigram not in self.bpe_ranks:
             break
           _UpperCAmelCase,_UpperCAmelCase		:							Dict							=     bigram
           _UpperCAmelCase		:							List[Any]							=     []
           _UpperCAmelCase		:							Union[str, Any]							=     0

           while i < len(A_    ):
             try:
               _UpperCAmelCase		:							Optional[Any]							=     word.index(A_							,					A_    )
               new_word.extend(word[i:j]    )
               _UpperCAmelCase		:							List[str]							=     j
             except ValueError:
               new_word.extend(word[i:]    )
               break

             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		:							Any							=     tuple(A_    )
           _UpperCAmelCase		:							Optional[int]							=     new_word
           if len(A_    ) == 1:
             break
           else:
             _UpperCAmelCase		:							str							=     get_pairs(A_    )
         _UpperCAmelCase		:							Optional[Any]							=     """@@ """.join(A_    )
         _UpperCAmelCase		:							List[Any]							=     word[:-4]

         _UpperCAmelCase		:							Optional[int]							=     word
         words.append(A_    )
       return " ".join(A_    )


     def        __snake_case(  self							,					A_    ):
       _UpperCAmelCase		:							Tuple							=     []

       _UpperCAmelCase		:							Optional[int]							=     re.findall(r"""\S+\n?"""							,					A_    )

       for token in words:
         split_tokens.extend(list(self.bpe(A_    ).split(""" """    )    )    )
       return split_tokens


     def        __snake_case(  self							,					A_    ):
       _UpperCAmelCase		:							Any							=     token.lower()
       return self.encoder.get(A_							,					self.encoder.get(self.unk_token    )    )


     def        __snake_case(  self							,					A_    ):
       return self.decoder.get(A_							,					self.unk_token    )


     def        __snake_case(  self							,					A_    ):
       _UpperCAmelCase		:							Any							=     """ """.join(A_    ).replace("""@@ """							,					""""""    ).strip()
       return out_string




     def        __snake_case(  self							,					A_							,					A_ = None    ):
       if not os.path.isdir(A_    ):
         logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''    )
         return
       _UpperCAmelCase		:							str							=     os.path.join(
           A_							,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]    )
       _UpperCAmelCase		:							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"""    )

       _UpperCAmelCase		:							Dict							=     0
       with open(A_							,					"""w"""							,					encoding="""utf-8"""    ) as writer:
         writer.write("""#version: 0.2\n"""    )
         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		:							Any							=     token_index
           writer.write(""" """.join(A_    ) + """\n"""    )
           index += 1

       return vocab_file, merge_file









def    a__    (		snake_case__					:							int						,   snake_case__					:							int     ):
  return x if y == 0 else greatest_common_divisor(snake_case__						,   x % y     )




def    a__    (		snake_case__					:							int						,   snake_case__					:							int     ):
  return (x * y) // greatest_common_divisor(snake_case__						,   snake_case__     )




def    a__    (		snake_case__					:							int = 20     ):
  _UpperCAmelCase		:							Union[str, Any]							=     1
  for i in range(1						,   n + 1     ):
    _UpperCAmelCase		:							Dict							=     lcm(snake_case__						,   snake_case__     )
  return g


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





