



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


A        =			logging.get_logger(__name__)

A        =			{
    """CarlCochet/trajectory-transformer-halfcheetah-medium-v2""": (
        """https://huggingface.co/CarlCochet/trajectory-transformer-halfcheetah-medium-v2/resolve/main/config.json"""
    ),
    # See all TrajectoryTransformer models at https://huggingface.co/models?filter=trajectory_transformer
}


class 							__a							(  snake_case_						):





		'''simple docstring'''



		UpperCAmelCase__      :				Tuple				    =						"""trajectory_transformer"""
		UpperCAmelCase__      :				Any				    =						["""past_key_values"""]
		UpperCAmelCase__      :				Dict				    =						{
		    """hidden_size""": """n_embd""",
		    """num_attention_heads""": """n_head""",
		    """num_hidden_layers""": """n_layer""",
		}


		def __init__(						self ,    UpperCamelCase__=100 ,    UpperCamelCase__=5 ,    UpperCamelCase__=1 ,    UpperCamelCase__=1 ,    UpperCamelCase__=249 ,    UpperCamelCase__=6 ,    UpperCamelCase__=17 ,    UpperCamelCase__=25 ,    UpperCamelCase__=4 ,    UpperCamelCase__=4 ,    UpperCamelCase__=128 ,    UpperCamelCase__=0.1 ,    UpperCamelCase__=0.1 ,    UpperCamelCase__=0.1 ,    UpperCamelCase__=0.00_06 ,    UpperCamelCase__=512 ,    UpperCamelCase__=0.02 ,    UpperCamelCase__=1E-12 ,    UpperCamelCase__=1 ,    UpperCamelCase__=True ,    UpperCamelCase__=1 ,    UpperCamelCase__=50256 ,    UpperCamelCase__=50256 ,    **UpperCamelCase__ ,    ):
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   vocab_size
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   action_weight
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   reward_weight
						SCREAMING_SNAKE_CASE_   :	str													=   value_weight
						SCREAMING_SNAKE_CASE_   :	List[str]													=   max_position_embeddings
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   block_size
						SCREAMING_SNAKE_CASE_   :	int													=   action_dim
						SCREAMING_SNAKE_CASE_   :	List[str]													=   observation_dim
						SCREAMING_SNAKE_CASE_   :	List[str]													=   transition_dim
						SCREAMING_SNAKE_CASE_   :	str													=   learning_rate
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   n_layer
						SCREAMING_SNAKE_CASE_   :	Any													=   n_head
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   n_embd
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   embd_pdrop
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   attn_pdrop
						SCREAMING_SNAKE_CASE_   :	str													=   resid_pdrop
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   initializer_range
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   layer_norm_eps
						SCREAMING_SNAKE_CASE_   :	List[str]													=   kaiming_initializer_range
						SCREAMING_SNAKE_CASE_   :	str													=   use_cache
						super().__init__(pad_token_id=UpperCamelCase__ ,    bos_token_id=UpperCamelCase__ ,    eos_token_id=UpperCamelCase__ ,    **UpperCamelCase__       )







import colorsys

from PIL import Image  # type: ignore



def 					_lowerCamelCase(			lowerCAmelCase__				:		float    ,    lowerCAmelCase__				:		float    ,    lowerCAmelCase__				:		int      ):





				'''simple docstring'''







				SCREAMING_SNAKE_CASE_   :	Any													=   x
				SCREAMING_SNAKE_CASE_   :	Tuple													=   y
				for step in range(lowerCAmelCase__      ):  # noqa: B007
								SCREAMING_SNAKE_CASE_   :	str													=   a * a - b * b + x
								SCREAMING_SNAKE_CASE_   :	Any													=   2 * a * b + y
								SCREAMING_SNAKE_CASE_   :	int													=   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(			lowerCAmelCase__				:		float      ):





				'''simple docstring'''







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



def 					_lowerCamelCase(			lowerCAmelCase__				:		float      ):





				'''simple docstring'''







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



def 					_lowerCamelCase(			lowerCAmelCase__				:		int = 800    ,    lowerCAmelCase__				:		int = 600    ,    lowerCAmelCase__				:		float = -0.6    ,    lowerCAmelCase__				:		float = 0    ,    lowerCAmelCase__				:		float = 3.2    ,    lowerCAmelCase__				:		int = 50    ,    lowerCAmelCase__				:		bool = True    ,    ):





				'''simple docstring'''







				SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   Image.new('RGB'    ,    (image_width, image_height)      )
				SCREAMING_SNAKE_CASE_   :	List[str]													=   img.load()

				# loop through the image-coordinates
				for image_x in range(lowerCAmelCase__      ):
								for image_y in range(lowerCAmelCase__      ):
												# determine the figure-coordinates based on the image-coordinates
												SCREAMING_SNAKE_CASE_   :	List[str]													=   figure_width / image_width * image_height
												SCREAMING_SNAKE_CASE_   :	List[Any]													=   figure_center_x + (image_x / image_width - 0.5) * figure_width
												SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   figure_center_y + (image_y / image_height - 0.5) * figure_height

												SCREAMING_SNAKE_CASE_   :	str													=   get_distance(lowerCAmelCase__    ,    lowerCAmelCase__    ,    lowerCAmelCase__      )

												# color the corresponding pixel based on the selected coloring-function
												if use_distance_color_coding:
																SCREAMING_SNAKE_CASE_   :	int													=   get_color_coded_rgb(lowerCAmelCase__      )
												else:
																SCREAMING_SNAKE_CASE_   :	Dict													=   get_black_and_white_rgb(lowerCAmelCase__      )

				return img


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				# colored version, full figure
				A        =			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()