
import json
import os
from typing import Optional, Tuple

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


lowercase  :					int						    =							logging.get_logger(__name__)

lowercase  :					Optional[Any]						    =							{"""vocab_file""": """vocab.json"""}

lowercase  :					Optional[Any]						    =							{
    """vocab_file""": {
        """mgp-str""": """https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json""",
    }
}

lowercase  :					int						    =							{"""mgp-str""": 27}

class __snake_case		(      lowerCAmelCase     ):
    _a		:						List[Any]=				VOCAB_FILES_NAMES
    _a		:						Optional[int]=				PRETRAINED_VOCAB_FILES_MAP
    _a		:						str=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    def __init__(  self		,snake_case		,snake_case="[GO]"		,snake_case="[GO]"		,snake_case="[s]"		,snake_case="[GO]"		,**snake_case      ):



           '''simple docstring'''







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

           with open(snake_case		,encoding="""utf-8"""      ) as vocab_handle:
                  lowercase							:     Dict       	=      json.load(snake_case      )
           lowercase							:     Dict       	=      {v: k for k, v in self.vocab.items()}
    @property
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           return len(self.vocab      )
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           return dict(self.vocab		,**self.added_tokens_encoder      )
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           lowercase							:     Dict       	=      []
           for s in text:
                  char_tokens.extend(snake_case      )
           return char_tokens
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







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



           '''simple docstring'''







           return self.decoder.get(snake_case      )
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case		,snake_case = None      ):



           '''simple docstring'''







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

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

           return (vocab_file,)

"""simple docstring"""






from PIL import Image



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							(2_5_9 * (level + 2_5_5)) / (2_5_5 * (2_5_9 - level))

				def contrast(lowerCamelCase       ) -> int:
								return int(1_2_8 + factor * (c - 1_2_8)       )

				return img.point(lowerCamelCase       )


if __name__ == "__main__":
						# Load image
						with Image.open('image_data/lena.jpg') as img:
												# Change contrast to 170
												lowerCAmelCase__  :  Any						     =	change_contrast(img, 170)
												cont_img.save('image_data/lena_high_contrast.png', format='png')



