


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


SCREAMING_SNAKE_CASE__					:     Dict       =     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__					:     Optional[Any]       =     {
    'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/resolve/main/config.json',
}


class 		_SCREAMING_SNAKE_CASE     (						A     ):
     __SCREAMING_SNAKE_CASE     					=    '''timesformer'''


     def __init__(  self							,					A_=2_24							,					A_=16							,					A_=3							,					A_=8							,					A_=7_68							,					A_=12							,					A_=12							,					A_=30_72							,					A_="gelu"							,					A_=0.0							,					A_=0.0							,					A_=0.0_2							,					A_=1e-6							,					A_=True							,					A_="divided_space_time"							,					A_=0							,					**A_							,					):
       super().__init__(**A_    )

       _UpperCAmelCase		:							List[Any]							=     image_size
       _UpperCAmelCase		:							Union[str, Any]							=     patch_size
       _UpperCAmelCase		:							str							=     num_channels
       _UpperCAmelCase		:							List[str]							=     num_frames

       _UpperCAmelCase		:							Any							=     hidden_size
       _UpperCAmelCase		:							Optional[Any]							=     num_hidden_layers
       _UpperCAmelCase		:							Dict							=     num_attention_heads
       _UpperCAmelCase		:							str							=     intermediate_size
       _UpperCAmelCase		:							Dict							=     hidden_act
       _UpperCAmelCase		:							int							=     hidden_dropout_prob
       _UpperCAmelCase		:							Optional[int]							=     attention_probs_dropout_prob
       _UpperCAmelCase		:							int							=     initializer_range
       _UpperCAmelCase		:							Union[str, Any]							=     layer_norm_eps
       _UpperCAmelCase		:							Tuple							=     qkv_bias

       _UpperCAmelCase		:							List[str]							=     attention_type
       _UpperCAmelCase		:							Tuple							=     drop_path_rate









from PIL import Image




def    a__    (		snake_case__					:							Image						,   snake_case__					:							int     ):
  _UpperCAmelCase		:							Optional[Any]							=     (259 * (level + 255)) / (255 * (259 - level))

  def contrast(snake_case__					:							int     ) -> int:
    return int(128 + factor * (c - 128)     )

  return img.point(snake_case__     )


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





