import colorsys

from PIL import Image  # type: ignore



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: float				,  __UpperCamelCase					: float				,  __UpperCamelCase					: int			)							->      Optional[Any]:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   x
  SCREAMING_SNAKE_CASE__    							=   y
  for step in range(snake_case_			):  # noqa: B007
    SCREAMING_SNAKE_CASE__    							=   a * a - b * b + x
    SCREAMING_SNAKE_CASE__    							=   2 * a * b + y
    SCREAMING_SNAKE_CASE__    							=   a_new

    # divergence happens for all complex number with an absolute value
    # greater than 4
    if a * a + b * b > 4:
      break
  return step / (max_step - 1)



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: float			)							->      Optional[Any]:







  """simple docstring"""





  if distance == 1:
    return (0, 0, 0)
  else:
    return (2_55, 2_55, 2_55)



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: float			)							->      Tuple:







  """simple docstring"""





  if distance == 1:
    return (0, 0, 0)
  else:
    return tuple(round(i * 2_55			) for i in colorsys.hsv_to_rgb(snake_case_				,  1				,  1			)			)



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: int = 8_00				,  __UpperCamelCase					: int = 6_00				,  __UpperCamelCase					: float = -0.6				,  __UpperCamelCase					: float = 0				,  __UpperCamelCase					: float = 3.2				,  __UpperCamelCase					: int = 50				,  __UpperCamelCase					: bool = True				,  )							->      int:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   Image.new("""RGB"""				,  (image_width, image_height)			)
  SCREAMING_SNAKE_CASE__    							=   img.load()

  # loop through the image-coordinates
  for image_x in range(snake_case_			):
    for image_y in range(snake_case_			):
      # determine the figure-coordinates based on the image-coordinates
      SCREAMING_SNAKE_CASE__    							=   figure_width / image_width * image_height
      SCREAMING_SNAKE_CASE__    							=   figure_center_x + (image_x / image_width - 0.5) * figure_width
      SCREAMING_SNAKE_CASE__    							=   figure_center_y + (image_y / image_height - 0.5) * figure_height

      SCREAMING_SNAKE_CASE__    							=   get_distance(snake_case_				,  snake_case_				,  snake_case_			)

      # color the corresponding pixel based on the selected coloring-function
      if use_distance_color_coding:
        SCREAMING_SNAKE_CASE__    							=   get_color_coded_rgb(snake_case_			)
      else:
        SCREAMING_SNAKE_CASE__    							=   get_black_and_white_rgb(snake_case_			)

  return img


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   # colored version, full figure
   snake_case    :				List[Any]							     =	get_image()

   # uncomment for colored version, different section, zoomed in
   # img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
   # figure_width = 0.8)

   # uncomment for black and white version, full figure
   # img = get_image(use_distance_color_coding = False)

   # uncomment to save the image
   # img.save("mandelbrot.png")

   img.show()

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


__lowerCamelCase    :				List[Any]							     =	logging.get_logger(__name__)

__lowerCamelCase    :				str							     =	{
    '''facebook/timesformer''': '''https://huggingface.co/facebook/timesformer/resolve/main/config.json''',
}







class __snake_case       (		lowerCamelCase_	):
   lowerCAmelCase_														=							"timesformer"




   def __init__(					self    :       Any ,			_lowercase    :       Tuple=2_24 ,			_lowercase    :       Tuple=16 ,			_lowercase    :       List[Any]=3 ,			_lowercase    :       str=8 ,			_lowercase    :       Optional[Any]=7_68 ,			_lowercase    :       List[str]=12 ,			_lowercase    :       List[str]=12 ,			_lowercase    :       Dict=30_72 ,			_lowercase    :       List[str]="gelu" ,			_lowercase    :       List[str]=0.0 ,			_lowercase    :       List[str]=0.0 ,			_lowercase    :       Tuple=0.02 ,			_lowercase    :       List[Any]=1E-6 ,			_lowercase    :       List[str]=True ,			_lowercase    :       Dict="divided_space_time" ,			_lowercase    :       Union[str, Any]=0 ,			**_lowercase    :       Union[str, Any] ,			):



     """simple docstring"""






     super().__init__(**_lowercase   )

     SCREAMING_SNAKE_CASE__    							=   image_size
     SCREAMING_SNAKE_CASE__    							=   patch_size
     SCREAMING_SNAKE_CASE__    							=   num_channels
     SCREAMING_SNAKE_CASE__    							=   num_frames

     SCREAMING_SNAKE_CASE__    							=   hidden_size
     SCREAMING_SNAKE_CASE__    							=   num_hidden_layers
     SCREAMING_SNAKE_CASE__    							=   num_attention_heads
     SCREAMING_SNAKE_CASE__    							=   intermediate_size
     SCREAMING_SNAKE_CASE__    							=   hidden_act
     SCREAMING_SNAKE_CASE__    							=   hidden_dropout_prob
     SCREAMING_SNAKE_CASE__    							=   attention_probs_dropout_prob
     SCREAMING_SNAKE_CASE__    							=   initializer_range
     SCREAMING_SNAKE_CASE__    							=   layer_norm_eps
     SCREAMING_SNAKE_CASE__    							=   qkv_bias

     SCREAMING_SNAKE_CASE__    							=   attention_type
     SCREAMING_SNAKE_CASE__    							=   drop_path_rate
