
def   __SCREAMING_SNAKE_CASE (		SCREAMING_SNAKE_CASE )		-> List[str]:
		SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			[]
		for data in source_data:
				for i, el in enumerate(SCREAMING_SNAKE_CASE ):
						if len(SCREAMING_SNAKE_CASE ) < i + 1:
								data_lists.append([] )
						data_lists[i].append(float(SCREAMING_SNAKE_CASE ) )
		return data_lists



def   __SCREAMING_SNAKE_CASE (		SCREAMING_SNAKE_CASE ,    SCREAMING_SNAKE_CASE )		-> Any:
		SCREAMING_SNAKE_CASE_					:	int		  =			[]
		for dlist, weight in zip(SCREAMING_SNAKE_CASE ,    SCREAMING_SNAKE_CASE ):
				SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			min(SCREAMING_SNAKE_CASE )
				SCREAMING_SNAKE_CASE_					:	int		  =			max(SCREAMING_SNAKE_CASE )

				SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			[]
				# for weight 0 score is 1 - actual score
				if weight == 0:
						for item in dlist:
								try:
										score.append(1 - ((item - mind) / (maxd - mind)) )
								except ZeroDivisionError:
										score.append(1 )

				elif weight == 1:
						for item in dlist:
								try:
										score.append((item - mind) / (maxd - mind) )
								except ZeroDivisionError:
										score.append(0 )

        # weight not 0 or 1
				else:
						SCREAMING_SNAKE_CASE_					:	List[str]		  =			f'Invalid weight of {weight:f} provided'
						raise ValueError(SCREAMING_SNAKE_CASE )

				score_lists.append(SCREAMING_SNAKE_CASE )

		return score_lists



def   __SCREAMING_SNAKE_CASE (		SCREAMING_SNAKE_CASE )		-> Dict:
		SCREAMING_SNAKE_CASE_					:	Any		  =			[0 for i in range(len(score_lists[0] ) )]

		for slist in score_lists:
				for j, ele in enumerate(SCREAMING_SNAKE_CASE ):
						SCREAMING_SNAKE_CASE_					:	Union[str, Any]		  =			final_scores[j] + ele

		return final_scores



def   __SCREAMING_SNAKE_CASE (		SCREAMING_SNAKE_CASE ,    SCREAMING_SNAKE_CASE )		-> List[Any]:
		SCREAMING_SNAKE_CASE_					:	Any		  =			get_data(SCREAMING_SNAKE_CASE )
		SCREAMING_SNAKE_CASE_					:	Any		  =			calculate_each_score(SCREAMING_SNAKE_CASE ,    SCREAMING_SNAKE_CASE )
		SCREAMING_SNAKE_CASE_					:	Optional[int]		  =			generate_final_scores(SCREAMING_SNAKE_CASE )

		# append scores to source data
		for i, ele in enumerate(SCREAMING_SNAKE_CASE ):
				source_data[i].append(SCREAMING_SNAKE_CASE )

		return source_data








'''simple docstring'''
import colorsys

from PIL import Image  # type: ignore







def 		A_(     A						:		float		,     A						:		float		,     A						:		int):
							UpperCamelCase   			=     x
							UpperCamelCase   			=     y
							for step in range(A):  # noqa: B007
														UpperCamelCase   			=     a * a - b * b + x
														UpperCamelCase   			=     2 * a * b + y
														UpperCamelCase   			=     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 		A_(     A						:		float):
							if distance == 1:
														return (0, 0, 0)
							else:
														return (255, 255, 255)







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







def 		A_(     A						:		int = 800		,     A						:		int = 600		,     A						:		float = -0.6		,     A						:		float = 0		,     A						:		float = 3.2		,     A						:		int = 50		,     A						:		bool = True		,     ):
							UpperCamelCase   			=     Image.new('RGB'		,     (image_width, image_height))
							UpperCamelCase   			=     img.load()

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

																					UpperCamelCase   			=     get_distance(A		,     A		,     A)

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

							return img


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						# colored version, full figure
						lowerCAmelCase					:    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()




