


import json
import os
from typing import Optional, Tuple

import regex as re

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


SCREAMING_SNAKE_CASE							    =							logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE							    =							{
    'vocab_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'},
    'merges_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'},
}

SCREAMING_SNAKE_CASE							    =							{
    'ctrl': 2_5_6,
}

SCREAMING_SNAKE_CASE							    =							{
    'Pregnancy': 1_6_8_6_2_9,
    'Christianity': 7_6_7_5,
    'Explain': 1_0_6_4_2_3,
    'Fitness': 6_3_4_4_0,
    'Saving': 6_3_1_6_3,
    'Ask': 2_7_1_7_1,
    'Ass': 9_5_9_8_5,
    'Joke': 1_6_3_5_0_9,
    'Questions': 4_5_6_2_2,
    'Thoughts': 4_9_6_0_5,
    'Retail': 5_2_3_4_2,
    'Feminism': 1_6_4_3_3_8,
    'Writing': 1_1_9_9_2,
    'Atheism': 1_9_2_2_6_3,
    'Netflix': 4_8_6_1_6,
    'Computing': 3_9_6_3_9,
    'Opinion': 4_3_2_1_3,
    'Alone': 4_4_9_6_7,
    'Funny': 5_8_9_1_7,
    'Gaming': 4_0_3_5_8,
    'Human': 4_0_8_8,
    'India': 1_3_3_1,
    'Joker': 7_7_1_3_8,
    'Diet': 3_6_2_0_6,
    'Legal': 1_1_8_5_9,
    'Norman': 4_9_3_9,
    'Tip': 7_2_6_8_9,
    'Weight': 5_2_3_4_3,
    'Movies': 4_6_2_7_3,
    'Running': 2_3_4_2_5,
    'Science': 2_0_9_0,
    'Horror': 3_7_7_9_3,
    'Confession': 6_0_5_7_2,
    'Finance': 1_2_2_5_0,
    'Politics': 1_6_3_6_0,
    'Scary': 1_9_1_9_8_5,
    'Support': 1_2_6_5_4,
    'Technologies': 3_2_5_1_6,
    'Teenage': 6_6_1_6_0,
    'Event': 3_2_7_6_9,
    'Learned': 6_7_4_6_0,
    'Notion': 1_8_2_7_7_0,
    'Wikipedia': 3_7_5_8_3,
    'Books': 6_6_6_5,
    'Extract': 7_6_0_5_0,
    'Confessions': 1_0_2_7_0_1,
    'Conspiracy': 7_5_9_3_2,
    'Links': 6_3_6_7_4,
    'Narcissus': 1_5_0_4_2_5,
    'Relationship': 5_4_7_6_6,
    'Relationships': 1_3_4_7_9_6,
    'Reviews': 4_1_6_7_1,
    'News': 4_2_5_6,
    'Translation': 2_6_8_2_0,
    'multilingual': 1_2_8_4_0_6,
}




def  a   (lowerCAmelCase__   ):
   __a					=  set()
   __a					=  word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)   )
      __a					=  char

   __a					=  set(lowerCAmelCase__   )
   return pairs


class     __UpperCAmelCase							(       __A							):


     """simple docstring"""
     _lowerCamelCase   =      VOCAB_FILES_NAMES
     _lowerCamelCase   =      PRETRAINED_VOCAB_FILES_MAP
     _lowerCamelCase   =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _lowerCamelCase   =      CONTROL_CODES


     def __init__(	self  ,       __A  ,       __A  ,       __A="<unk>"  ,       **__A    ):
        super().__init__(unk_token=__A  ,       **__A    )

        with open(__A  ,       encoding="""utf-8"""    ) as vocab_handle:
           __a					=  json.load(__A    )
        __a					=  {v: k for k, v in self.encoder.items()}
        with open(__A  ,       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(__A  ,       range(len(__A    )    )    )    )
        __a					=  {}


     @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]
        __a					=  tuple(__A    )
        __a					=  tuple(list(word[:-1]    ) + [word[-1] + """</w>"""]    )
        __a					=  get_pairs(__A    )

        if not pairs:
           return token

        while True:
           __a					=  min(__A  ,       key=lambda __A    : self.bpe_ranks.get(__A  ,       float("""inf"""    )    )    )
           if bigram not in self.bpe_ranks:
              break
           __a	,    __a					=  bigram
           __a					=  []
           __a					=  0
           while i < len(__A    ):
              try:
                 __a					=  word.index(__A  ,       __A    )
              except ValueError:
                 new_word.extend(word[i:]    )
                 break
              else:
                 new_word.extend(word[i:j]    )
                 __a					=  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
           __a					=  tuple(__A    )
           __a					=  new_word
           if len(__A    ) == 1:
              break
           else:
              __a					=  get_pairs(__A    )
        __a					=  """@@ """.join(__A    )
        __a					=  word[:-4]
        __a					=  word
        return word


     def 	snake_case_  (	self  ,       __A    ):
        __a					=  []

        __a					=  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    ):
        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    ):
        __a					=  """ """.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
        __a					=  os.path.join(
            __A  ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]    )
        __a					=  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"""    )

        __a					=  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!"""    )
                 __a					=  token_index
              writer.write(""" """.join(__A    ) + """\n"""    )
              index += 1

        return vocab_file, merge_file

     # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
     #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
     #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
     #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
     #     return ''.join(tokens_generated_so_far)





"""simple docstring"""




def     __magic_name__      ( __snake_case							:			Any	,					__snake_case							:			Union[str, Any]	,					__snake_case							:			Union[str, Any]=False    )					->							Optional[Any]:

       if isinstance(__snake_case	,					__snake_case    ) and isinstance(__snake_case	,					__snake_case    ):
              lowercase       :							Tuple									=				len(set_a.intersection(__snake_case    )    )

              if alternative_union:
                     lowercase       :							Union[str, Any]									=				len(__snake_case    ) + len(__snake_case    )
              else:
                     lowercase       :							Optional[Any]									=				len(set_a.union(__snake_case    )    )

              return intersection / union

       if isinstance(__snake_case	,					(list, tuple)    ) and isinstance(__snake_case	,					(list, tuple)    ):
              lowercase       :							Tuple									=				[element for element in set_a if element in set_b]

              if alternative_union:
                     lowercase       :							List[str]									=				len(__snake_case    ) + len(__snake_case    )
                     return len(__snake_case    ) / union
              else:
                     lowercase       :							Dict									=				set_a + [element for element in set_b if element not in set_a]
                     return len(__snake_case    ) / len(__snake_case    )

              return len(__snake_case    ) / len(__snake_case    )
       return None


if __name__ == "__main__":
   _A     :			List[str]  						=			{"""a""", """b""", """c""", """d""", """e"""}
   _A     :			Dict  						=			{"""c""", """d""", """e""", """f""", """h""", """i"""}
   print(jaccard_similarity(set_a, set_b))


