
'''simple docstring'''

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


UpperCAmelCase__ :			Any											=		logging.get_logger(__name__)

UpperCAmelCase__ :			Optional[int]											=		{}






class  A  (						SCREAMING_SNAKE_CASE__     ):
	snake_case__   :int   =  'llama'
	snake_case__   :Any   =  ['past_key_values']





	def __init__(       self      :							Dict   ,				__magic_name__      :							List[Any]=32000   ,				__magic_name__      :							Union[str, Any]=4096   ,				__magic_name__      :							Tuple=11008   ,				__magic_name__      :							Any=32   ,				__magic_name__      :							int=32   ,				__magic_name__      :							Dict=None   ,				__magic_name__      :							Dict="silu"   ,				__magic_name__      :							Any=2048   ,				__magic_name__      :							str=0.02   ,				__magic_name__      :							Union[str, Any]=1E-6   ,				__magic_name__      :							int=True   ,				__magic_name__      :							Any=0   ,				__magic_name__      :							Optional[int]=1   ,				__magic_name__      :							List[str]=2   ,				__magic_name__      :							Any=1   ,				__magic_name__      :							int=False   ,				__magic_name__      :							List[Any]=None   ,				**__magic_name__      :							List[str]   ,				):


				"""simple docstring"""

				lowerCAmelCase__										=				vocab_size
				lowerCAmelCase__										=				max_position_embeddings
				lowerCAmelCase__										=				hidden_size
				lowerCAmelCase__										=				intermediate_size
				lowerCAmelCase__										=				num_hidden_layers
				lowerCAmelCase__										=				num_attention_heads

				# for backward compatibility
				if num_key_value_heads is None:
							lowerCAmelCase__										=				num_attention_heads

				lowerCAmelCase__										=				num_key_value_heads
				lowerCAmelCase__										=				hidden_act
				lowerCAmelCase__										=				initializer_range
				lowerCAmelCase__										=				rms_norm_eps
				lowerCAmelCase__										=				pretraining_tp
				lowerCAmelCase__										=				use_cache
				lowerCAmelCase__										=				rope_scaling
				self._rope_scaling_validation()

				super().__init__(
				    pad_token_id=__magic_name__   ,				bos_token_id=__magic_name__   ,				eos_token_id=__magic_name__   ,				tie_word_embeddings=__magic_name__   ,				**__magic_name__   ,				)







	def 				__SCREAMING_SNAKE_CASE	(       self      :							Optional[Any]				):


				"""simple docstring"""

				if self.rope_scaling is None:
							return

				if not isinstance(self.rope_scaling   ,				__magic_name__				) or len(self.rope_scaling				) != 2:
							raise ValueError(
							    "`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, "
							    f"""got {self.rope_scaling}"""				)
				lowerCAmelCase__										=				self.rope_scaling.get("type"   ,				__magic_name__				)
				lowerCAmelCase__										=				self.rope_scaling.get("factor"   ,				__magic_name__				)
				if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
							raise ValueError(
							    f"""`rope_scaling`'s name field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"""				)
				if rope_scaling_factor is None or not isinstance(__magic_name__   ,				__magic_name__				) or rope_scaling_factor <= 1.0:
							raise ValueError(f"""`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"""				)












"""simple docstring"""


import colorsys

from PIL import Image  # type: ignore

def      UpperCamelCase							(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     ):
						UpperCamelCase				:		Optional[int]				   =			x
						UpperCamelCase				:		str				   =			y
						for step in range(SCREAMING_SNAKE_CASE     ):  # noqa: B007
												UpperCamelCase				:		str				   =			a * a - b * b + x
												UpperCamelCase				:		Any				   =			2 * a * b + y
												UpperCamelCase				:		List[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							(SCREAMING_SNAKE_CASE     ):
						if distance == 1:
												return (0, 0, 0)
						else:
												return (255, 255, 255)

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

def      UpperCamelCase							(SCREAMING_SNAKE_CASE = 800							,     SCREAMING_SNAKE_CASE = 600							,     SCREAMING_SNAKE_CASE = -0.6							,     SCREAMING_SNAKE_CASE = 0							,     SCREAMING_SNAKE_CASE = 3.2							,     SCREAMING_SNAKE_CASE = 50							,     SCREAMING_SNAKE_CASE = True							,     ):
						UpperCamelCase				:		Tuple				   =			Image.new("""RGB"""							,     (image_width, image_height)     )
						UpperCamelCase				:		Dict				   =			img.load()

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

																		UpperCamelCase				:		Union[str, Any]				   =			get_distance(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     )

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

						return img


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		# colored version, full figure
		__magic_name__       :					int						=			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()



