


"""simple docstring"""


import colorsys

from PIL import Image  # type: ignore


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			x
			__lowerCAmelCase				    =			y
			for step in range(lowercase_      ):  # noqa: B007
						__lowerCAmelCase				    =			a * a - b * b + x
						__lowerCAmelCase				    =			2 * a * b + y
						__lowerCAmelCase				    =			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 _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




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


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




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


def _lowerCamelCase	(		_UpperCamelCase = 800    , _UpperCamelCase = 600    , _UpperCamelCase = -0.6    , _UpperCamelCase = 0    , _UpperCamelCase = 3.2    , _UpperCamelCase = 50    , _UpperCamelCase = True    , ):

			'''simple docstring'''




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

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

									__lowerCAmelCase				    =			get_distance(lowercase_    , lowercase_    , lowercase_      )

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

			return img


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	# colored version, full figure
	A     :   List[str]			    =			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()










import copy

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


_lowerCamelCase	:		Any							       =   logging.get_logger(__name__)


class 				UpperCamelCase_    ( UpperCAmelCase__     ):

    '''simple docstring'''






    UpperCAmelCase__							  =      '''encoder-decoder'''
    UpperCAmelCase__							  =      True


    def __init__(			self      :	List[str]					, **UpperCAmelCase__      :	Union[str, Any])						->List[Any]:





           '''simple docstring'''

           super().__init__(**UpperCAmelCase__)
           assert (
               "encoder" in kwargs and "decoder" in kwargs
           ), "Config has to be initialized with encoder and decoder config"
           A__       =    kwargs.pop('''encoder''')
           A__       =    encoder_config.pop('''model_type''')
           A__       =    kwargs.pop('''decoder''')
           A__       =    decoder_config.pop('''model_type''')

           from ..auto.configuration_auto import AutoConfig

           A__       =    AutoConfig.for_model(UpperCAmelCase__					, **UpperCAmelCase__)
           A__       =    AutoConfig.for_model(UpperCAmelCase__					, **UpperCAmelCase__)
           A__       =    True


    @classmethod
    def        SCREAMING_SNAKE_CASE							(			cls      :	Union[str, Any]					, UpperCAmelCase__      :	PretrainedConfig					, UpperCAmelCase__      :	PretrainedConfig					, **UpperCAmelCase__      :	Union[str, Any])						->PretrainedConfig:





           '''simple docstring'''

           logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config''')
           A__       =    True
           A__       =    True

           return cls(encoder=encoder_config.to_dict()					, decoder=decoder_config.to_dict()					, **UpperCAmelCase__)





    def        SCREAMING_SNAKE_CASE							(			self      :	str)						->Optional[Any]:





           '''simple docstring'''

           A__       =    copy.deepcopy(self.__dict__)
           A__       =    self.encoder.to_dict()
           A__       =    self.decoder.to_dict()
           A__       =    self.__class__.model_type
           return output


