





from typing import List

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


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

SCREAMING_SNAKE_CASE__       :			List[str]			      =						{
    """snap-research/efficientformer-l1-300""": (
        """https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json"""
    ),
}







class   __lowerCAmelCase			(					_UpperCamelCase  ):
   _UpperCamelCase :						Optional[int]     		=				"""efficientformer"""





   def __init__( self					,			snake_case = [3, 2, 6, 4]					,			snake_case = [48, 96, 224, 448]					,			snake_case = [True, True, True, True]					,			snake_case = 448					,			snake_case = 32					,			snake_case = 4					,			snake_case = 7					,			snake_case = 5					,			snake_case = 8					,			snake_case = 4					,			snake_case = 0.0					,			snake_case = 16					,			snake_case = 3					,			snake_case = 3					,			snake_case = 3					,			snake_case = 2					,			snake_case = 1					,			snake_case = 0.0					,			snake_case = 1					,			snake_case = True					,			snake_case = True					,			snake_case = 1E-5					,			snake_case = "gelu"					,			snake_case = 0.02					,			snake_case = 1E-12					,			snake_case = 224					,			snake_case = 1E-05					,			**snake_case					,			)				->  Optional[int]:
      """simple docstring"""





      super().__init__(**__lowerCAmelCase      )

      a__	:						str      		=  hidden_act
      a__	:						List[str]      		=  hidden_dropout_prob
      a__	:						Union[str, Any]      		=  hidden_sizes
      a__	:						Union[str, Any]      		=  num_hidden_layers
      a__	:						Optional[int]      		=  num_attention_heads
      a__	:						Dict      		=  initializer_range
      a__	:						str      		=  layer_norm_eps
      a__	:						Tuple      		=  patch_size
      a__	:						Union[str, Any]      		=  num_channels
      a__	:						Any      		=  depths
      a__	:						Any      		=  mlp_expansion_ratio
      a__	:						Union[str, Any]      		=  downsamples
      a__	:						Union[str, Any]      		=  dim
      a__	:						str      		=  key_dim
      a__	:						List[str]      		=  attention_ratio
      a__	:						Tuple      		=  resolution
      a__	:						Tuple      		=  pool_size
      a__	:						Optional[int]      		=  downsample_patch_size
      a__	:						int      		=  downsample_stride
      a__	:						Tuple      		=  downsample_pad
      a__	:						Union[str, Any]      		=  drop_path_rate
      a__	:						Tuple      		=  num_metaad_blocks
      a__	:						Any      		=  distillation
      a__	:						List[str]      		=  use_layer_scale
      a__	:						Optional[int]      		=  layer_scale_init_value
      a__	:						List[Any]      		=  image_size
      a__	:						Any      		=  batch_norm_eps








from PIL import Image






def       _A  (      lowerCamelCase							, lowerCamelCase   ):

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

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


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

