



import json
import os
from typing import Optional, Tuple

import regex as re

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


lowercase_:  List[str]     						=					logging.get_logger(__name__)

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

lowercase_:  Optional[int]     						=					{
    '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'},
}

lowercase_:  Dict     						=					{
    'ctrl': 2_56,
}

lowercase_:  Any     						=					{
    'Pregnancy': 16_86_29,
    'Christianity': 76_75,
    'Explain': 10_64_23,
    'Fitness': 6_34_40,
    'Saving': 6_31_63,
    'Ask': 2_71_71,
    'Ass': 9_59_85,
    'Joke': 16_35_09,
    'Questions': 4_56_22,
    'Thoughts': 4_96_05,
    'Retail': 5_23_42,
    'Feminism': 16_43_38,
    'Writing': 1_19_92,
    'Atheism': 19_22_63,
    'Netflix': 4_86_16,
    'Computing': 3_96_39,
    'Opinion': 4_32_13,
    'Alone': 4_49_67,
    'Funny': 5_89_17,
    'Gaming': 4_03_58,
    'Human': 40_88,
    'India': 13_31,
    'Joker': 7_71_38,
    'Diet': 3_62_06,
    'Legal': 1_18_59,
    'Norman': 49_39,
    'Tip': 7_26_89,
    'Weight': 5_23_43,
    'Movies': 4_62_73,
    'Running': 2_34_25,
    'Science': 20_90,
    'Horror': 3_77_93,
    'Confession': 6_05_72,
    'Finance': 1_22_50,
    'Politics': 1_63_60,
    'Scary': 19_19_85,
    'Support': 1_26_54,
    'Technologies': 3_25_16,
    'Teenage': 6_61_60,
    'Event': 3_27_69,
    'Learned': 6_74_60,
    'Notion': 18_27_70,
    'Wikipedia': 3_75_83,
    'Books': 66_65,
    'Extract': 7_60_50,
    'Confessions': 10_27_01,
    'Conspiracy': 7_59_32,
    'Links': 6_36_74,
    'Narcissus': 15_04_25,
    'Relationship': 5_47_66,
    'Relationships': 13_47_96,
    'Reviews': 4_16_71,
    'News': 42_56,
    'Translation': 2_68_20,
    'multilingual': 12_84_06,
}
def 	_lowercase	(     UpperCAmelCase_):




 """simple docstring"""




 snake_case__				:							Optional[Any]      							= set()
 snake_case__				:							Optional[int]      							= word[0]
 for char in word[1:]:
  pairs.add((prev_char, char))
  snake_case__				:							Optional[int]      							= char

 snake_case__				:							int      							= set(UpperCamelCase__)
 return pairs



class 						lowercase__      (__snake_case						):

     """simple docstring"""






     __UpperCamelCase    :	Any		=       VOCAB_FILES_NAMES
     __UpperCamelCase    :	Dict		=       PRETRAINED_VOCAB_FILES_MAP
     __UpperCamelCase    :	str		=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __UpperCamelCase    :	List[Any]		=       CONTROL_CODES


     def __init__( self :	List[str]   ,			__a :	Tuple   ,			__a :	str   ,			__a :	int="<unk>"   ,			**__a :	List[str] ):
      super().__init__(unk_token=lowerCamelCase__   ,			**lowerCamelCase__ )

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


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


     def 		lowercase   ( self :	Optional[int] ):
      return dict(self.encoder   ,			**self.added_tokens_encoder )


     def 		lowercase   ( self :	Union[str, Any]   ,			__a :	Tuple ):
      if token in self.cache:
       return self.cache[token]
      snake_case__				:							Union[str, Any]      							= tuple(lowerCamelCase__ )
      snake_case__				:							Union[str, Any]      							= tuple(list(word[:-1] ) + [word[-1] + """</w>"""] )
      snake_case__				:							str      							= get_pairs(lowerCamelCase__ )

      if not pairs:
       return token

      while True:
       snake_case__				:							Optional[Any]      							= min(lowerCamelCase__   ,			key=lambda __a : self.bpe_ranks.get(lowerCamelCase__   ,			float("""inf""" ) ) )
       if bigram not in self.bpe_ranks:
        break
       snake_case__							,		snake_case__				:							List[str]      							= bigram
       snake_case__				:							List[Any]      							= []
       snake_case__				:							Dict      							= 0
       while i < len(lowerCamelCase__ ):
        try:
         snake_case__				:							List[str]      							= word.index(lowerCamelCase__   ,			lowerCamelCase__ )
        except ValueError:
         new_word.extend(word[i:] )
         break
        else:
         new_word.extend(word[i:j] )
         snake_case__				:							Optional[Any]      							= j

        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
       snake_case__				:							Any      							= tuple(lowerCamelCase__ )
       snake_case__				:							Optional[Any]      							= new_word
       if len(lowerCamelCase__ ) == 1:
        break
       else:
        snake_case__				:							str      							= get_pairs(lowerCamelCase__ )
      snake_case__				:							Optional[int]      							= """@@ """.join(lowerCamelCase__ )
      snake_case__				:							Dict      							= word[:-4]
      snake_case__				:							Union[str, Any]      							= word
      return word


     def 		lowercase   ( self :	Union[str, Any]   ,			__a :	List[Any] ):
      snake_case__				:							Tuple      							= []

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

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


     def 		lowercase   ( self :	Optional[int]   ,			__a :	Union[str, Any] ):
      return self.encoder.get(lowerCamelCase__   ,			self.encoder.get(self.unk_token ) )


     def 		lowercase   ( self :	Dict   ,			__a :	str ):
      return self.decoder.get(lowerCamelCase__   ,			self.unk_token )


     def 		lowercase   ( self :	str   ,			__a :	Union[str, Any] ):
      snake_case__				:							Optional[Any]      							= """ """.join(lowerCamelCase__ ).replace("""@@ """   ,			"""""" ).strip()
      return out_string


     def 		lowercase   ( self :	Union[str, Any]   ,			__a :	str   ,			__a :	List[str] = None ):
      if not os.path.isdir(lowerCamelCase__ ):
       logger.error(f'Vocabulary path ({save_directory}) should be a directory' )
       return
      snake_case__				:							Union[str, Any]      							= os.path.join(
          lowerCamelCase__   ,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )
      snake_case__				:							Union[str, Any]      							= 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""" )

      snake_case__				:							Union[str, Any]      							= 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 __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!""" )
         snake_case__				:							Dict      							= token_index
        writer.write(""" """.join(lowerCamelCase__ ) + """\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)










from datetime import datetime as dt
import os

from github import Github


__A								=       [
    "good first issue",
    "good second issue",
    "good difficult issue",
    "feature request",
    "new model",
    "wip",
]







def      lowerCamelCase_						(			)	->			int:





				"""simple docstring"""


				__lowerCamelCase									=       Github(os.environ['GITHUB_TOKEN'] )
				__lowerCamelCase									=       g.get_repo('huggingface/transformers' )
				__lowerCamelCase									=       repo.get_issues(state='open' )

				for issue in open_issues:
								__lowerCamelCase									=       sorted([comment for comment in issue.get_comments()]					,	key=lambda UpperCamelCase__ : i.created_at					,	reverse=UpperCamelCase__ )
								__lowerCamelCase									=       comments[0] if len(UpperCamelCase__ ) > 0 else None
								if (
								    last_comment is not None
								    and last_comment.user.login == "github-actions[bot]"
								    and (dt.utcnow() - issue.updated_at).days > 7
								    and (dt.utcnow() - issue.created_at).days >= 30
								    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels() )
								):
												# print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
												issue.edit(state='closed' )
								elif (
								    (dt.utcnow() - issue.updated_at).days > 23
								    and (dt.utcnow() - issue.created_at).days >= 30
								    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels() )
								):
												# print(f"Would add stale comment to {issue.number}")
												issue.create_comment(
												    'This issue has been automatically marked as stale because it has not had '
												    'recent activity. If you think this still needs to be addressed '
												    'please comment on this thread.\n\nPlease note that issues that do not follow the '
												    '[contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) '
												    'are likely to be ignored.' )


if __name__ == "__main__":
					main()


