





'''simple docstring'''




import json
import os
from typing import Optional, Tuple

import regex as re

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


lowercase__       : Optional[Any]         =       logging.get_logger(__name__)

lowercase__       : Optional[int]         =       {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

lowercase__       : Dict         =       {
    '''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__       : Optional[int]         =       {
    '''ctrl''': 2_56,
}

lowercase__       : Tuple         =       {
    '''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 			_lowerCAmelCase     (    __snake_case    :					Optional[Any]     )	->	Dict:
     __A		:					str						=			set()
     __A		:					Tuple						=			word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)     )
          __A		:					List[str]						=			char

     __A		:					Optional[int]						=			set(__snake_case     )
     return pairs







class 					SCREAMING_SNAKE_CASE       (a__				):
     lowerCAmelCase						     =			VOCAB_FILES_NAMES
     lowerCAmelCase						     =			PRETRAINED_VOCAB_FILES_MAP
     lowerCAmelCase						     =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCAmelCase						     =			CONTROL_CODES


     def __init__(		self		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase="<unk>"		,      **_UpperCAmelCase):

          '''simple docstring'''






          super().__init__(unk_token=_UpperCAmelCase		,      **_UpperCAmelCase)

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


     @property
     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          return len(self.encoder)


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






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


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          if token in self.cache:
               return self.cache[token]
          __A		:					Optional[int]						=			tuple(_UpperCAmelCase)
          __A		:					str						=			tuple(list(word[:-1]) + [word[-1] + '</w>'])
          __A		:					str						=			get_pairs(_UpperCAmelCase)

          if not pairs:
               return token

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

                    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		:					str						=			tuple(_UpperCAmelCase)
               __A		:					Dict						=			new_word
               if len(_UpperCAmelCase) == 1:
                    break
               else:
                    __A		:					List[str]						=			get_pairs(_UpperCAmelCase)
          __A		:					Any						=			'@@ '.join(_UpperCAmelCase)
          __A		:					List[str]						=			word[:-4]
          __A		:					Any						=			word
          return word


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          __A		:					Optional[int]						=			[]

          __A		:					Dict						=			re.findall(R'\S+\n?'		,      _UpperCAmelCase)

          for token in words:
               split_tokens.extend(list(self.bpe(_UpperCAmelCase).split(' ')))
          return split_tokens


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          return self.encoder.get(_UpperCAmelCase		,      self.encoder.get(self.unk_token))


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






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


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          __A		:					List[Any]						=			' '.join(_UpperCAmelCase).replace('@@ '		,      '').strip()
          return out_string


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase		,      _UpperCAmelCase = None):

          '''simple docstring'''






          if not os.path.isdir(_UpperCAmelCase):
               logger.error(F'Vocabulary path ({save_directory}) should be a directory')
               return
          __A		:					Tuple						=			os.path.join(
              _UpperCAmelCase		,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
          __A		:					Tuple						=			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		:					Any						=			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		:					List[str]						=			token_index
                    writer.write(' '.join(_UpperCAmelCase) + '\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 			_lowerCAmelCase     (    __snake_case    :					str					,				__snake_case    :					str     )	->	int:
     if len(__snake_case     ) != len(__snake_case     ):
          raise ValueError('String lengths must match!'     )

     __A		:					Optional[Any]						=			0

     for chara, chara in zip(__snake_case					,				__snake_case     ):
          if chara != chara:
               count += 1

     return count


if __name__ == "__main__":
  import doctest

  doctest.testmod()