





from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_						       =	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_						       =	{
    """abeja/gpt-neox-japanese-2.7b""": """https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json""",
}

class 		UpperCamelCase__			(				lowerCAmelCase_       ):



     '''simple docstring'''

     __snake_case   :     Union[str, Any]		     =      "gpt_neox_japanese"






     def __init__(							self						:   Dict						,lowerCamelCase__						:   str=32000						,lowerCamelCase__						:   Any=2560						,lowerCamelCase__						:   Dict=32						,lowerCamelCase__						:   Optional[Any]=32						,lowerCamelCase__						:   Tuple=4						,lowerCamelCase__						:   Union[str, Any]="gelu"						,lowerCamelCase__						:   Union[str, Any]=1.00						,lowerCamelCase__						:   str=10000						,lowerCamelCase__						:   List[str]=2048						,lowerCamelCase__						:   Union[str, Any]=0.02						,lowerCamelCase__						:   List[str]=1e-5						,lowerCamelCase__						:   int=True						,lowerCamelCase__						:   int=31996						,lowerCamelCase__						:   Union[str, Any]=31999						,lowerCamelCase__						:   Optional[int]=0.1						,lowerCamelCase__						:   Optional[int]=0.0						,**lowerCamelCase__						:   int						,)					->		List[str]:




           '''simple docstring'''


           super().__init__(bos_token_id=lowerCamelCase__						,eos_token_id=lowerCamelCase__						,**lowerCamelCase__	)
           SCREAMING_SNAKE_CASE		=						vocab_size
           SCREAMING_SNAKE_CASE		=						max_position_embeddings
           SCREAMING_SNAKE_CASE		=						hidden_size
           SCREAMING_SNAKE_CASE		=						num_hidden_layers
           SCREAMING_SNAKE_CASE		=						num_attention_heads
           SCREAMING_SNAKE_CASE		=						intermediate_multiple_size
           SCREAMING_SNAKE_CASE		=						hidden_act
           SCREAMING_SNAKE_CASE		=						rotary_pct
           SCREAMING_SNAKE_CASE		=						rotary_emb_base
           SCREAMING_SNAKE_CASE		=						initializer_range
           SCREAMING_SNAKE_CASE		=						layer_norm_eps
           SCREAMING_SNAKE_CASE		=						use_cache
           SCREAMING_SNAKE_CASE		=						attention_dropout
           SCREAMING_SNAKE_CASE		=						hidden_dropout









from PIL import Image



def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       Image:


      '''simple docstring'''


      def brightness(_SCREAMING_SNAKE_CASE     ) -> float:
            return 1_28 + level + (c - 1_28)

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


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


