

"""simple docstring"""



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_					:	str							  =						logging.get_logger(__name__)


SCREAMING_SNAKE_CASE_					:	Any							  =						{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

SCREAMING_SNAKE_CASE_					:	Dict							  =						{
    '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': 5_1_2}





def  _snake_case     (    UpperCAmelCase_  :					Tuple			):
     A__										=  set()
     A__										=  word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)			)
          A__										=  char

     A__										=  set(UpperCAmelCase_			)
     return pairs



class 					a						(       _lowerCamelCase				):



    """simple docstring"""



    UpperCAmelCase						 =					VOCAB_FILES_NAMES
    UpperCAmelCase						 =					PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase						 =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase						 =					["input_ids", "attention_mask"]

    def __init__(     self: Union[str, Any]    ,						UpperCamelCase: int    ,						UpperCamelCase: Any    ,						UpperCamelCase: Union[str, Any]="__start__"    ,						UpperCamelCase: Optional[Any]="__end__"    ,						UpperCamelCase: Dict="__unk__"    ,						UpperCamelCase: Dict="__null__"    ,						**UpperCamelCase: Optional[Any]    ,						):






         """simple docstring"""


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

         with open(UpperCamelCase    ,						encoding="""utf-8"""       ) as vocab_handle:
              A__										=  json.load(UpperCamelCase       )
         A__										=  {v: k for k, v in self.encoder.items()}
         with open(UpperCamelCase    ,						encoding="""utf-8"""       ) as merges_handle:
              A__										=  merges_handle.read().split("""\n"""       )[1:-1]
         A__										=  [tuple(merge.split()       ) for merge in merges]
         A__										=  dict(zip(UpperCamelCase    ,						range(len(UpperCamelCase       )       )       )       )
         A__										=  {}

    @property
    def 				UpperCamelCase	(     self: Optional[int]       ):






         """simple docstring"""


         return len(self.encoder       )

    def 				UpperCamelCase	(     self: List[str]       ):






         """simple docstring"""


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

    def 				UpperCamelCase	(     self: int    ,						UpperCamelCase: str       ):






         """simple docstring"""


         if token in self.cache:
              return self.cache[token]
         A__										=  re.sub("""([.,!?()])"""    ,						r""" \1"""    ,						UpperCamelCase       )
         A__										=  re.sub("""(')"""    ,						r""" \1 """    ,						UpperCamelCase       )
         A__										=  re.sub(r"""\s{2,}"""    ,						""" """    ,						UpperCamelCase       )
         if "\n" in token:
              A__										=  token.replace("""\n"""    ,						""" __newln__"""       )

         A__										=  token.split(""" """       )
         A__										=  []
         for token in tokens:
              if not len(UpperCamelCase       ):
                   continue

              A__										=  token.lower()
              A__										=  tuple(UpperCamelCase       )
              A__										=  tuple(list(word[:-1]       ) + [word[-1] + """</w>"""]       )
              A__										=  get_pairs(UpperCamelCase       )

              if not pairs:
                   words.append(UpperCamelCase       )
                   continue

              while True:
                   A__										=  min(UpperCamelCase    ,						key=lambda UpperCamelCase       : self.bpe_ranks.get(UpperCamelCase    ,						float("""inf"""       )       )       )
                   if bigram not in self.bpe_ranks:
                        break
                   A__			,				A__										=  bigram
                   A__										=  []
                   A__										=  0

                   while i < len(UpperCamelCase       ):
                        try:
                             A__										=  word.index(UpperCamelCase    ,						UpperCamelCase       )
                             new_word.extend(word[i:j]       )
                             A__										=  j
                        except ValueError:
                             new_word.extend(word[i:]       )
                             break

                        if word[i] == first and i < len(UpperCamelCase       ) - 1 and word[i + 1] == second:
                             new_word.append(first + second       )
                             i += 2
                        else:
                             new_word.append(word[i]       )
                             i += 1
                   A__										=  tuple(UpperCamelCase       )
                   A__										=  new_word
                   if len(UpperCamelCase       ) == 1:
                        break
                   else:
                        A__										=  get_pairs(UpperCamelCase       )
              A__										=  """@@ """.join(UpperCamelCase       )
              A__										=  word[:-4]

              A__										=  word
              words.append(UpperCamelCase       )
         return " ".join(UpperCamelCase       )

    def 				UpperCamelCase	(     self: Tuple    ,						UpperCamelCase: str       ):






         """simple docstring"""


         A__										=  []

         A__										=  re.findall(r"""\S+\n?"""    ,						UpperCamelCase       )

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

    def 				UpperCamelCase	(     self: Any    ,						UpperCamelCase: str       ):






         """simple docstring"""


         A__										=  token.lower()
         return self.encoder.get(UpperCamelCase    ,						self.encoder.get(self.unk_token       )       )

    def 				UpperCamelCase	(     self: List[str]    ,						UpperCamelCase: int       ):






         """simple docstring"""


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

    def 				UpperCamelCase	(     self: Union[str, Any]    ,						UpperCamelCase: List[str]       ):






         """simple docstring"""


         A__										=  """ """.join(UpperCamelCase       ).replace("""@@ """    ,						""""""       ).strip()
         return out_string





    def 				UpperCamelCase	(     self: Any    ,						UpperCamelCase: str    ,						UpperCamelCase: Optional[str] = None       ):






         """simple docstring"""


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

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

         A__										=  0
         with open(UpperCamelCase    ,						"""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 UpperCamelCase       : 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(UpperCamelCase       ) + """\n"""       )
                   index += 1

         return vocab_file, merge_file









"""simple docstring"""



from itertools import count





def  _snake_case     (    UpperCAmelCase_  :					int = 50			):
     A__										=  [1] * min_block_length

     for n in count(UpperCAmelCase_			):
          fill_count_functions.append(1			)

          for block_length in range(UpperCAmelCase_					,   n + 1			):
               for block_start in range(n - block_length			):
                    fill_count_functions[n] += fill_count_functions[
                        n - block_start - block_length - 1
                    ]

               fill_count_functions[n] += 1

          if fill_count_functions[n] > 100_0000:
               break

     return n


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






