





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


_lowercase		:  List[str]			       =logging.get_logger(__name__)

_lowercase		:  Any			       ={
    """vinvino02/glpn-kitti""": """https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json""",
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}






class 						UpperCamelCase_  (  lowercase_							):
					_a      :						Tuple						    =					"glpn"



					def __init__(		self     :     Union[str, Any]       ,      lowerCamelCase     :     Any=3       ,      lowerCamelCase     :     Tuple=4       ,      lowerCamelCase     :     Optional[Any]=[2, 2, 2, 2]       ,      lowerCamelCase     :     str=[8, 4, 2, 1]       ,      lowerCamelCase     :     List[str]=[32, 64, 1_60, 2_56]       ,      lowerCamelCase     :     Optional[Any]=[7, 3, 3, 3]       ,      lowerCamelCase     :     List[str]=[4, 2, 2, 2]       ,      lowerCamelCase     :     Dict=[1, 2, 5, 8]       ,      lowerCamelCase     :     Optional[int]=[4, 4, 4, 4]       ,      lowerCamelCase     :     int="gelu"       ,      lowerCamelCase     :     int=0.0       ,      lowerCamelCase     :     Tuple=0.0       ,      lowerCamelCase     :     List[str]=0.02       ,      lowerCamelCase     :     Tuple=0.1       ,      lowerCamelCase     :     List[str]=1E-6       ,      lowerCamelCase     :     Union[str, Any]=64       ,      lowerCamelCase     :     List[Any]=10       ,      lowerCamelCase     :     Dict=-1       ,      **lowerCamelCase     :     Any       ,      ):
							super().__init__(**a__						)

							lowerCamelCase_	:     Union[str, Any] 						=      num_channels
							lowerCamelCase_	:     List[Any] 						=      num_encoder_blocks
							lowerCamelCase_	:     Dict 						=      depths
							lowerCamelCase_	:     Dict 						=      sr_ratios
							lowerCamelCase_	:     Optional[Any] 						=      hidden_sizes
							lowerCamelCase_	:     str 						=      patch_sizes
							lowerCamelCase_	:     int 						=      strides
							lowerCamelCase_	:     List[str] 						=      mlp_ratios
							lowerCamelCase_	:     List[str] 						=      num_attention_heads
							lowerCamelCase_	:     Dict 						=      hidden_act
							lowerCamelCase_	:     str 						=      hidden_dropout_prob
							lowerCamelCase_	:     List[str] 						=      attention_probs_dropout_prob
							lowerCamelCase_	:     str 						=      initializer_range
							lowerCamelCase_	:     Union[str, Any] 						=      drop_path_rate
							lowerCamelCase_	:     Optional[int] 						=      layer_norm_eps
							lowerCamelCase_	:     Any 						=      decoder_hidden_size
							lowerCamelCase_	:     Optional[Any] 						=      max_depth
							lowerCamelCase_	:     Optional[Any] 						=      head_in_index








import colorsys

from PIL import Image  # type: ignore






def 	UpperCamelCase	(							snake_case__  : float						,snake_case__  : float						,snake_case__  : int	):




     '''simple docstring'''






     __snake_case      :List[Any] 							=    x
     __snake_case      :str 							=    y
     for step in range(snake_case__	):  # noqa: B007
          __snake_case      :Tuple 							=    a * a - b * b + x
          __snake_case      :Dict 							=    2 * a * b + y
          __snake_case      :str 							=    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 	UpperCamelCase	(							snake_case__  : float	):




     '''simple docstring'''






     if distance == 1:
          return (0, 0, 0)
     else:
          return (255, 255, 255)






def 	UpperCamelCase	(							snake_case__  : float	):




     '''simple docstring'''






     if distance == 1:
          return (0, 0, 0)
     else:
          return tuple(round(i * 255	) for i in colorsys.hsv_to_rgb(snake_case__						,1						,1	)	)






def 	UpperCamelCase	(							snake_case__  : int = 800						,snake_case__  : int = 600						,snake_case__  : float = -0.6						,snake_case__  : float = 0						,snake_case__  : float = 3.2						,snake_case__  : int = 50						,snake_case__  : bool = True						,):




     '''simple docstring'''






     __snake_case      :Tuple 							=    Image.new("""RGB"""						,(image_width, image_height)	)
     __snake_case      :Dict 							=    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
               __snake_case      :Dict 							=    figure_width / image_width * image_height
               __snake_case      :Any 							=    figure_center_x + (image_x / image_width - 0.5) * figure_width
               __snake_case      :List[str] 							=    figure_center_y + (image_y / image_height - 0.5) * figure_height

               __snake_case      :Tuple 							=    get_distance(snake_case__						,snake_case__						,snake_case__	)

               # color the corresponding pixel based on the selected coloring-function
               if use_distance_color_coding:
                    __snake_case      :Optional[int] 							=    get_color_coded_rgb(snake_case__	)
               else:
                    __snake_case      :Optional[int] 							=    get_black_and_white_rgb(snake_case__	)

     return img


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     # colored version, full figure
     lowerCamelCase__       		=  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()


