





import logging

from transformers.configuration_utils import PretrainedConfig


_lowercase		:  Optional[Any]			       =logging.getLogger(__name__)






class 						UpperCamelCase_  (  lowercase_							):
					_a      :						int						    =					"masked_bert"



					def __init__(		self     :     List[Any]       ,      lowerCamelCase     :     Tuple=3_05_22       ,      lowerCamelCase     :     Tuple=7_68       ,      lowerCamelCase     :     Any=12       ,      lowerCamelCase     :     List[Any]=12       ,      lowerCamelCase     :     Union[str, Any]=30_72       ,      lowerCamelCase     :     Any="gelu"       ,      lowerCamelCase     :     str=0.1       ,      lowerCamelCase     :     Dict=0.1       ,      lowerCamelCase     :     List[Any]=5_12       ,      lowerCamelCase     :     Any=2       ,      lowerCamelCase     :     str=0.02       ,      lowerCamelCase     :     Optional[Any]=1E-12       ,      lowerCamelCase     :     List[str]=0       ,      lowerCamelCase     :     Tuple="topK"       ,      lowerCamelCase     :     Optional[Any]="constant"       ,      lowerCamelCase     :     Any=0.0       ,      **lowerCamelCase     :     Tuple       ,      ):
							super().__init__(pad_token_id=a__       ,      **a__						)

							lowerCamelCase_	:     int 						=      vocab_size
							lowerCamelCase_	:     Tuple 						=      hidden_size
							lowerCamelCase_	:     Dict 						=      num_hidden_layers
							lowerCamelCase_	:     Dict 						=      num_attention_heads
							lowerCamelCase_	:     Optional[int] 						=      hidden_act
							lowerCamelCase_	:     Union[str, Any] 						=      intermediate_size
							lowerCamelCase_	:     Optional[int] 						=      hidden_dropout_prob
							lowerCamelCase_	:     Tuple 						=      attention_probs_dropout_prob
							lowerCamelCase_	:     List[Any] 						=      max_position_embeddings
							lowerCamelCase_	:     Union[str, Any] 						=      type_vocab_size
							lowerCamelCase_	:     Optional[Any] 						=      initializer_range
							lowerCamelCase_	:     Optional[Any] 						=      layer_norm_eps
							lowerCamelCase_	:     Union[str, Any] 						=      pruning_method
							lowerCamelCase_	:     str 						=      mask_init
							lowerCamelCase_	:     Any 						=      mask_scale








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()


