
"""simple docstring"""

from PIL import Image






def 							A		(       snake_case   :Image       ,      snake_case   :float	)   ->			Image:

 def brightness(snake_case   :int	) -> 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(snake_case	)


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





"""simple docstring"""

from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase			:       List[str]									=				{
    "configuration_autoformer": [
        "AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AutoformerConfig",
    ],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase			:       Dict									=				[
          "AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
          "AutoformerForPrediction",
          "AutoformerModel",
          "AutoformerPreTrainedModel",
      ]


if TYPE_CHECKING:
      from .configuration_autoformer import (
          AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
          AutoformerConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_autoformer import (
                AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                AutoformerForPrediction,
                AutoformerModel,
                AutoformerPreTrainedModel,
            )

else:
      import sys

      UpperCamelCase			:       int									=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



