




'''simple docstring'''

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


a    :							int										=    logging.get_logger(__name__)

a    :							List[str]										=    {
    'uw-madison/mra-base-512-4': 'https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json',
}






class 		a							(  _lowerCamelCase	):
				snake_case_           =						"mra"


				def __init__(						self       :   Union[str, Any]			,							lowercase_       :   Union[str, Any]=5_0265			,							lowercase_       :   str=768			,							lowercase_       :   int=12			,							lowercase_       :   Any=12			,							lowercase_       :   int=3072			,							lowercase_       :   Optional[int]="gelu"			,							lowercase_       :   int=0.1			,							lowercase_       :   Any=0.1			,							lowercase_       :   List[Any]=512			,							lowercase_       :   int=1			,							lowercase_       :   Optional[int]=0.02			,							lowercase_       :   Tuple=1e-5			,							lowercase_       :   Dict="absolute"			,							lowercase_       :   Any=4			,							lowercase_       :   List[str]="full"			,							lowercase_       :   int=0			,							lowercase_       :   int=0			,							lowercase_       :   Optional[Any]=1			,							lowercase_       :   Any=0			,							lowercase_       :   Any=2			,							**lowercase_       :   Dict			,							):
									super().__init__(pad_token_id=lowercase_			,							bos_token_id=lowercase_			,							eos_token_id=lowercase_			,							**lowercase_   )

									snake_case_		     =							vocab_size
									snake_case_		     =							max_position_embeddings
									snake_case_		     =							hidden_size
									snake_case_		     =							num_hidden_layers
									snake_case_		     =							num_attention_heads
									snake_case_		     =							intermediate_size
									snake_case_		     =							hidden_act
									snake_case_		     =							hidden_dropout_prob
									snake_case_		     =							attention_probs_dropout_prob
									snake_case_		     =							initializer_range
									snake_case_		     =							type_vocab_size
									snake_case_		     =							layer_norm_eps
									snake_case_		     =							position_embedding_type
									snake_case_		     =							block_per_row
									snake_case_		     =							approx_mode
									snake_case_		     =							initial_prior_first_n_blocks
									snake_case_		     =							initial_prior_diagonal_n_blocks







'''simple docstring'''

from PIL import Image


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase      )						->   Image:

					'''simple docstring'''

					def brightness(__UpperCAmelCase      ) -> float:
										return 128 + level + (c - 128)

					if not -2_5_5.0 <= level <= 2_5_5.0:
										raise ValueError('''level must be between -255.0 (black) and 255.0 (white)'''      )
					return img.point(__UpperCAmelCase      )


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

