
import json
import os
from typing import Optional, Tuple

import regex as re

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


lowercase  :					int						    =							logging.get_logger(__name__)

lowercase  :					Dict						    =							{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

lowercase  :					str						    =							{
    """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  :					List[str]						    =							{
    """ctrl""": 256,
}

lowercase  :					int						    =							{
    """Pregnancy""": 168629,
    """Christianity""": 7675,
    """Explain""": 106423,
    """Fitness""": 63440,
    """Saving""": 63163,
    """Ask""": 27171,
    """Ass""": 95985,
    """Joke""": 163509,
    """Questions""": 45622,
    """Thoughts""": 49605,
    """Retail""": 52342,
    """Feminism""": 164338,
    """Writing""": 11992,
    """Atheism""": 192263,
    """Netflix""": 48616,
    """Computing""": 39639,
    """Opinion""": 43213,
    """Alone""": 44967,
    """Funny""": 58917,
    """Gaming""": 40358,
    """Human""": 4088,
    """India""": 1331,
    """Joker""": 77138,
    """Diet""": 36206,
    """Legal""": 11859,
    """Norman""": 4939,
    """Tip""": 72689,
    """Weight""": 52343,
    """Movies""": 46273,
    """Running""": 23425,
    """Science""": 2090,
    """Horror""": 37793,
    """Confession""": 60572,
    """Finance""": 12250,
    """Politics""": 16360,
    """Scary""": 191985,
    """Support""": 12654,
    """Technologies""": 32516,
    """Teenage""": 66160,
    """Event""": 32769,
    """Learned""": 67460,
    """Notion""": 182770,
    """Wikipedia""": 37583,
    """Books""": 6665,
    """Extract""": 76050,
    """Confessions""": 102701,
    """Conspiracy""": 75932,
    """Links""": 63674,
    """Narcissus""": 150425,
    """Relationship""": 54766,
    """Relationships""": 134796,
    """Reviews""": 41671,
    """News""": 4256,
    """Translation""": 26820,
    """multilingual""": 128406,
}







def 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    Optional[int]:
       lowercase							:     List[Any]       	=      set()
       lowercase							:     List[Any]       	=      word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)				)
              lowercase							:     List[str]       	=      char

       lowercase							:     Dict       	=      set(SCREAMING_SNAKE_CASE__				)
       return pairs




class __snake_case		(      lowerCAmelCase     ):
    _a		:						int=				VOCAB_FILES_NAMES
    _a		:						int=				PRETRAINED_VOCAB_FILES_MAP
    _a		:						List[str]=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _a		:						int=				CONTROL_CODES
    def __init__(  self		,snake_case		,snake_case		,snake_case="<unk>"		,**snake_case      ):



           '''simple docstring'''







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

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



           '''simple docstring'''







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

           if not pairs:
                  return token

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

                         if word[i] == first and i < len(snake_case      ) - 1 and word[i + 1] == second:
                                new_word.append(first + second      )
                                i += 2
                         else:
                                new_word.append(word[i]      )
                                i += 1
                  lowercase							:     str       	=      tuple(snake_case      )
                  lowercase							:     List[Any]       	=      new_word
                  if len(snake_case      ) == 1:
                         break
                  else:
                         lowercase							:     Any       	=      get_pairs(snake_case      )
           lowercase							:     int       	=      """@@ """.join(snake_case      )
           lowercase							:     List[Any]       	=      word[:-4]
           lowercase							:     Optional[int]       	=      word
           return word
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           lowercase							:     List[str]       	=      []

           lowercase							:     str       	=      re.findall(r"""\S+\n?"""		,snake_case      )

           for token in words:
                  split_tokens.extend(list(self.bpe(snake_case      ).split(""" """      )      )      )
           return split_tokens
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           return self.encoder.get(snake_case		,self.encoder.get(self.unk_token      )      )
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           return self.decoder.get(snake_case		,self.unk_token      )
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           lowercase							:     List[str]       	=      """ """.join(snake_case      ).replace("""@@ """		,""""""      ).strip()
           return out_string
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case		,snake_case = None      ):



           '''simple docstring'''







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

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

           lowercase							:     Union[str, Any]       	=      0
           with open(snake_case		,"""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 snake_case      : 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!"""      )
                                lowercase							:     List[Any]       	=      token_index
                         writer.write(""" """.join(snake_case      ) + """\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'''




from PIL import Image



def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			Image:

							def brightness(_lowercase		) -> float:
														return 1_2_8 + level + (c - 1_2_8)

							if not -255.0 <= level <= 255.0:
														raise ValueError("""level must be between -255.0 (black) and 255.0 (white)"""		)
							return img.point(_lowercase		)


if __name__ == "__main__":
							# Load image
							with Image.open("""image_data/lena.jpg""") as img:
														# Change brightness to 100
														a   :			Optional[Any]					  =    change_brightness(img, 1_0_0)
														brigt_img.save("""image_data/lena_brightness.png""", format="""png""")

