





'''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


a        =						logging.get_logger(__name__)


a        =						{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

a        =						{
    "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"
        )
    },
}

a        =						{"facebook/blenderbot_small-90M": 512}

def 						__magic_name__       (							__UpperCAmelCase      )						->					List[Any]:

   '''simple docstring'''







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

   __SCREAMING_SNAKE_CASE      							=       set(__UpperCAmelCase      )
   return pairs







class __a (   _snake_case			):
   __UpperCamelCase   : List[Any]	      =	VOCAB_FILES_NAMES
   __UpperCamelCase   : Dict	      =	PRETRAINED_VOCAB_FILES_MAP
   __UpperCamelCase   : Union[str, Any]	      =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCamelCase   : Optional[int]	      =	['input_ids', 'attention_mask']





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

      '''simple docstring'''

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

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





   @property
   def      UpperCAmelCase__     (					self				:			int    ):

      '''simple docstring'''

      return len(self.encoder    )





   def      UpperCAmelCase__     (					self				:			Optional[Any]    ):

      '''simple docstring'''

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





   def      UpperCAmelCase__     (					self				:			Any				,lowerCamelCase				:			str    ):

      '''simple docstring'''

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

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

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

         if not pairs:
            words.append(lowerCamelCase    )
            continue

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

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

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

         __SCREAMING_SNAKE_CASE      							=       word
         words.append(lowerCamelCase    )
      return " ".join(lowerCamelCase    )





   def      UpperCAmelCase__     (					self				:			int				,lowerCamelCase				:			str    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       []

      __SCREAMING_SNAKE_CASE      							=       re.findall(r"""\S+\n?"""				,lowerCamelCase    )

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





   def      UpperCAmelCase__     (					self				:			List[Any]				,lowerCamelCase				:			str    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       token.lower()
      return self.encoder.get(lowerCamelCase				,self.encoder.get(self.unk_token    )    )





   def      UpperCAmelCase__     (					self				:			Optional[Any]				,lowerCamelCase				:			int    ):

      '''simple docstring'''

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





   def      UpperCAmelCase__     (					self				:			List[Any]				,lowerCamelCase				:			List[str]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       """ """.join(lowerCamelCase    ).replace("""@@ """				,""""""    ).strip()
      return out_string





   def      UpperCAmelCase__     (					self				:			List[str]				,lowerCamelCase				:			str				,lowerCamelCase				:			Optional[str] = None    ):

      '''simple docstring'''

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

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

      __SCREAMING_SNAKE_CASE      							=       0
      with open(lowerCamelCase				,"""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 lowerCamelCase    : 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!"""    )
               __SCREAMING_SNAKE_CASE      							=       token_index
            writer.write(""" """.join(lowerCamelCase    ) + """\n"""    )
            index += 1

      return vocab_file, merge_file












'''simple docstring'''

def 						__magic_name__       (							__UpperCAmelCase      )						->					bool:

   '''simple docstring'''







   if num < 0:
      return False

   __SCREAMING_SNAKE_CASE      							=       num
   __SCREAMING_SNAKE_CASE      							=       0
   while num > 0:
      __SCREAMING_SNAKE_CASE      							=       rev_num * 10 + (num % 10)
      num //= 10

   return num_copy == rev_num


if __name__ == "__main__":
    import doctest

    doctest.testmod()





