
"""simple docstring"""




import colorsys

from PIL import Image  # type: ignore

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

def lowercase_  (   _snake_case						):
							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 lowercase_  (   _snake_case = 800   ,_snake_case = 600   ,_snake_case = -0.6   ,_snake_case = 0   ,_snake_case = 3.2   ,_snake_case = 50   ,_snake_case = True   ,):
							SCREAMING_SNAKE_CASE__						:       Tuple           =   Image.new("""RGB"""   ,(image_width, image_height)						)
							SCREAMING_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
																					SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   figure_width / image_width * image_height
																					SCREAMING_SNAKE_CASE__						:       Any           =   figure_center_x + (image_x / image_width - 0.5) * figure_width
																					SCREAMING_SNAKE_CASE__						:       Any           =   figure_center_y + (image_y / image_height - 0.5) * figure_height

																					SCREAMING_SNAKE_CASE__						:       str           =   get_distance(_snake_case   ,_snake_case   ,_snake_case						)

																					# color the corresponding pixel based on the selected coloring-function
																					if use_distance_color_coding:
																												SCREAMING_SNAKE_CASE__						:       List[Any]           =   get_color_coded_rgb(_snake_case						)
																					else:
																												SCREAMING_SNAKE_CASE__						:       List[str]           =   get_black_and_white_rgb(_snake_case						)

							return img


if __name__ == "__main__":
					import doctest

					doctest.testmod()

					# colored version, full figure
					UpperCAmelCase__      :    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()






"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase__      :    str    							= logging.get_logger(__name__)

UpperCAmelCase__      :    Optional[int]    							= {
    'hustvl/yolos-small': 'https://huggingface.co/hustvl/yolos-small/resolve/main/config.json',
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}



class 	lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				__UpperCamelCase      :						int					       =   '''yolos'''



				def __init__(self   ,       SCREAMING_SNAKE_CASE__=7_68   ,       SCREAMING_SNAKE_CASE__=12   ,       SCREAMING_SNAKE_CASE__=12   ,       SCREAMING_SNAKE_CASE__=30_72   ,       SCREAMING_SNAKE_CASE__="gelu"   ,       SCREAMING_SNAKE_CASE__=0.0   ,       SCREAMING_SNAKE_CASE__=0.0   ,       SCREAMING_SNAKE_CASE__=0.02   ,       SCREAMING_SNAKE_CASE__=1E-12   ,       SCREAMING_SNAKE_CASE__=[5_12, 8_64]   ,       SCREAMING_SNAKE_CASE__=16   ,       SCREAMING_SNAKE_CASE__=3   ,       SCREAMING_SNAKE_CASE__=True   ,       SCREAMING_SNAKE_CASE__=1_00   ,       SCREAMING_SNAKE_CASE__=True   ,       SCREAMING_SNAKE_CASE__=False   ,       SCREAMING_SNAKE_CASE__=1   ,       SCREAMING_SNAKE_CASE__=5   ,       SCREAMING_SNAKE_CASE__=2   ,       SCREAMING_SNAKE_CASE__=5   ,       SCREAMING_SNAKE_CASE__=2   ,       SCREAMING_SNAKE_CASE__=0.1   ,       **SCREAMING_SNAKE_CASE__   ,       )					->		Optional[Any]:



											"""simple docstring"""




											super().__init__(**SCREAMING_SNAKE_CASE__    )

											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   hidden_size
											SCREAMING_SNAKE_CASE__						:       int           =   num_hidden_layers
											SCREAMING_SNAKE_CASE__						:       str           =   num_attention_heads
											SCREAMING_SNAKE_CASE__						:       List[str]           =   intermediate_size
											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   hidden_act
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   hidden_dropout_prob
											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   attention_probs_dropout_prob
											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   initializer_range
											SCREAMING_SNAKE_CASE__						:       Dict           =   layer_norm_eps
											SCREAMING_SNAKE_CASE__						:       List[str]           =   image_size
											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   patch_size
											SCREAMING_SNAKE_CASE__						:       List[str]           =   num_channels
											SCREAMING_SNAKE_CASE__						:       List[str]           =   qkv_bias
											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   num_detection_tokens
											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   use_mid_position_embeddings
											SCREAMING_SNAKE_CASE__						:       List[str]           =   auxiliary_loss
											# Hungarian matcher
											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   class_cost
											SCREAMING_SNAKE_CASE__						:       List[str]           =   bbox_cost
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   giou_cost
											# Loss coefficients
											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   bbox_loss_coefficient
											SCREAMING_SNAKE_CASE__						:       List[str]           =   giou_loss_coefficient
											SCREAMING_SNAKE_CASE__						:       int           =   eos_coefficient






class 	lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				__UpperCamelCase      :						Dict					       =   version.parse('''1.11'''  )



				@property
				def 	__magic_name__    (self    )					->		Mapping[str, Mapping[int, str]]:



											"""simple docstring"""




											return OrderedDict(
											    [
											        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
											    ]    )



				@property
				def 	__magic_name__    (self    )					->		float:



											"""simple docstring"""




											return 1E-4



				@property
				def 	__magic_name__    (self    )					->		int:



											"""simple docstring"""




											return 12




