





'''simple docstring'''




import colorsys
import io

import cva
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import numpy as np
import torch
from matplotlib.backends.backend_agg import FigureCanvasAgg

from utils import img_tensorize


__UpperCAmelCase         =   1000




class       UpperCamelCase__			:




					"""simple docstring"""


					def __init__(		self							:	Tuple     ,		lowerCamelCase_							:	List[str]     ,		lowerCamelCase_							:	int=1.2     ,		lowerCamelCase_							:	List[Any]="g"     ,		lowerCamelCase_							:	str=0.5     ,		lowerCamelCase_							:	List[Any]="-"     ,		lowerCamelCase_							:	List[str]="test_out.jpg"     ,		lowerCamelCase_							:	int=True     ,		lowerCamelCase_							:	Any=False     ,		lowerCamelCase_							:	Dict=None     ,		lowerCamelCase_							:	List[Any]=None     ,		lowerCamelCase_							:	Tuple=0.7     ,		):

							'''simple docstring'''



							if isinstance(lowerCamelCase_     ,		torch.Tensor		):
									SCREAMING_SNAKE_CASE				:							str						=	img.numpy().astype("""np.uint8"""		)
							if isinstance(lowerCamelCase_     ,		lowerCamelCase_		):
									SCREAMING_SNAKE_CASE				:							List[str]						=	img_tensorize(lowerCamelCase_		)
							assert isinstance(lowerCamelCase_     ,		np.ndarray		)

							SCREAMING_SNAKE_CASE,    SCREAMING_SNAKE_CASE				:							List[Any]						=	img.shape[1], img.shape[0]
							SCREAMING_SNAKE_CASE				:							Tuple						=	mplfigure.Figure(frameon=lowerCamelCase_		)
							SCREAMING_SNAKE_CASE				:							Any						=	fig.get_dpi()
							SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	(width * scale + 1e-2) / dpi
							SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	(height * scale + 1e-2) / dpi
							fig.set_size_inches(lowerCamelCase_     ,		lowerCamelCase_		)
							SCREAMING_SNAKE_CASE				:							Any						=	fig.add_axes([0.0, 0.0, 1.0, 1.0]		)
							ax.axis("""off"""		)
							ax.set_xlim(0.0     ,		lowerCamelCase_		)
							ax.set_ylim(lowerCamelCase_		)

							SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	saveas
							SCREAMING_SNAKE_CASE				:							Any						=	rgb
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	pynb
							SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	img
							SCREAMING_SNAKE_CASE				:							Dict						=	edgecolor
							SCREAMING_SNAKE_CASE				:							Tuple						=	0.5
							SCREAMING_SNAKE_CASE				:							List[Any]						=	linestyle
							SCREAMING_SNAKE_CASE				:							List[str]						=	int(np.sqrt(min(lowerCamelCase_     ,		lowerCamelCase_		)		) * scale // 3		)
							SCREAMING_SNAKE_CASE				:							int						=	width
							SCREAMING_SNAKE_CASE				:							List[Any]						=	height
							SCREAMING_SNAKE_CASE				:							int						=	scale
							SCREAMING_SNAKE_CASE				:							Tuple						=	fig
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	ax
							SCREAMING_SNAKE_CASE				:							int						=	pad
							SCREAMING_SNAKE_CASE				:							List[Any]						=	idaobj
							SCREAMING_SNAKE_CASE				:							List[str]						=	idaattr
							SCREAMING_SNAKE_CASE				:							str						=	FigureCanvasAgg(lowerCamelCase_		)


					def lowerCamelCase_	(		self							:	List[Any]     ,		lowerCamelCase_							:	Optional[int]     ,		lowerCamelCase_							:	List[Any]=None		):

							'''simple docstring'''



							if color is None:
									SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	self.edgecolor
							((SCREAMING_SNAKE_CASE),    (SCREAMING_SNAKE_CASE),    (SCREAMING_SNAKE_CASE),    (SCREAMING_SNAKE_CASE))				:							List[str]						=	box
							SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	xa - xa
							SCREAMING_SNAKE_CASE				:							str						=	ya - ya
							self.ax.add_patch(
							    mpl.patches.Rectangle(
							        (xa, ya)     ,		lowerCamelCase_     ,		lowerCamelCase_     ,		fill=lowerCamelCase_     ,		edgecolor=lowerCamelCase_     ,		linewidth=self.font_size // 3     ,		alpha=self.alpha     ,		linestyle=self.linestyle     ,		)		)


					def lowerCamelCase_	(		self							:	Optional[Any]     ,		lowerCamelCase_							:	str     ,		lowerCamelCase_							:	Any=None     ,		lowerCamelCase_							:	int=None     ,		lowerCamelCase_							:	int=None     ,		lowerCamelCase_							:	Dict=None		):

							'''simple docstring'''



							if len(boxes.shape		) > 2:
									SCREAMING_SNAKE_CASE				:							Dict						=	boxes[0]
							if len(obj_ids.shape		) > 1:
									SCREAMING_SNAKE_CASE				:							str						=	obj_ids[0]
							if len(obj_scores.shape		) > 1:
									SCREAMING_SNAKE_CASE				:							Dict						=	obj_scores[0]
							if len(attr_ids.shape		) > 1:
									SCREAMING_SNAKE_CASE				:							int						=	attr_ids[0]
							if len(attr_scores.shape		) > 1:
									SCREAMING_SNAKE_CASE				:							Optional[Any]						=	attr_scores[0]
							if isinstance(lowerCamelCase_     ,		torch.Tensor		):
									SCREAMING_SNAKE_CASE				:							List[str]						=	boxes.numpy()
							if isinstance(lowerCamelCase_     ,		lowerCamelCase_		):
									SCREAMING_SNAKE_CASE				:							Any						=	np.array(lowerCamelCase_		)
							assert isinstance(lowerCamelCase_     ,		np.ndarray		)
							SCREAMING_SNAKE_CASE				:							int						=	np.prod(boxes[:, 2:] - boxes[:, :2]     ,		axis=1		)
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	np.argsort(-areas		).tolist()
							SCREAMING_SNAKE_CASE				:							Dict						=	boxes[sorted_idxs] if boxes is not None else None
							SCREAMING_SNAKE_CASE				:							Optional[int]						=	obj_ids[sorted_idxs] if obj_ids is not None else None
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	obj_scores[sorted_idxs] if obj_scores is not None else None
							SCREAMING_SNAKE_CASE				:							List[Any]						=	attr_ids[sorted_idxs] if attr_ids is not None else None
							SCREAMING_SNAKE_CASE				:							str						=	attr_scores[sorted_idxs] if attr_scores is not None else None

							SCREAMING_SNAKE_CASE				:							int						=	[self._random_color(maximum=1		) for _ in range(len(lowerCamelCase_		)		)]
							SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	[assigned_colors[idx] for idx in sorted_idxs]
							if obj_ids is not None:
									SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	self._create_text_labels_attr(lowerCamelCase_     ,		lowerCamelCase_     ,		lowerCamelCase_     ,		lowerCamelCase_		)
									for i in range(len(lowerCamelCase_		)		):
											SCREAMING_SNAKE_CASE				:							int						=	assigned_colors[i]
											self.add_box(boxes[i]     ,		lowerCamelCase_		)
											self.draw_labels(labels[i]     ,		boxes[i]     ,		lowerCamelCase_		)


					def lowerCamelCase_	(		self							:	Tuple     ,		lowerCamelCase_							:	Union[str, Any]     ,		lowerCamelCase_							:	Tuple     ,		lowerCamelCase_							:	Any		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE,    SCREAMING_SNAKE_CASE,    SCREAMING_SNAKE_CASE,    SCREAMING_SNAKE_CASE				:							Any						=	box
							SCREAMING_SNAKE_CASE				:							List[Any]						=	(xa, ya)
							SCREAMING_SNAKE_CASE				:							str						=	(ya - ya) * (xa - xa)
							SCREAMING_SNAKE_CASE				:							List[str]						=	_SMALL_OBJ * self.scale
							if instance_area < small or ya - ya < 40 * self.scale:
									if ya >= self.height - 5:
											SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	(xa, ya)
									else:
											SCREAMING_SNAKE_CASE				:							Tuple						=	(xa, ya)

							SCREAMING_SNAKE_CASE				:							Dict						=	(ya - ya) / np.sqrt(self.height * self.width		)
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	self._change_color_brightness(lowerCamelCase_     ,		brightness_factor=0.7		)
							SCREAMING_SNAKE_CASE				:							List[str]						=	np.clip((height_ratio - 0.02) / 0.08 + 1     ,		1.2     ,		2		)
							font_size *= 0.75 * self.font_size

							self.draw_text(
							    text=lowerCamelCase_     ,		position=lowerCamelCase_     ,		color=lowerCamelCase_     ,		)


					def lowerCamelCase_	(		self							:	Tuple     ,		lowerCamelCase_							:	int     ,		lowerCamelCase_							:	Tuple     ,		lowerCamelCase_							:	Any="g"     ,		lowerCamelCase_							:	List[str]="left"     ,		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							Optional[int]						=	0
							SCREAMING_SNAKE_CASE				:							Any						=	self.font_size
							SCREAMING_SNAKE_CASE				:							int						=	np.maximum(list(mplc.to_rgb(lowerCamelCase_		)		)     ,		0.2		)
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	max(0.8     ,		np.max(lowerCamelCase_		)		)
							SCREAMING_SNAKE_CASE				:							List[Any]						=	{
							    """facecolor""": """black""",
							    """alpha""": self.alpha,
							    """pad""": self.pad,
							    """edgecolor""": """none""",
							}
							SCREAMING_SNAKE_CASE,    SCREAMING_SNAKE_CASE				:							Optional[Any]						=	position
							self.ax.text(
							    lowerCamelCase_     ,		lowerCamelCase_     ,		lowerCamelCase_     ,		size=font_size * self.scale     ,		family="""sans-serif"""     ,		bbox=lowerCamelCase_     ,		verticalalignment="""top"""     ,		horizontalalignment=lowerCamelCase_     ,		color=lowerCamelCase_     ,		zorder=10     ,		rotation=lowerCamelCase_     ,		)


					def lowerCamelCase_	(		self							:	Any     ,		lowerCamelCase_							:	Tuple=None		):

							'''simple docstring'''



							if saveas is None:
									SCREAMING_SNAKE_CASE				:							int						=	self.saveas
							if saveas.lower().endswith(""".jpg"""		) or saveas.lower().endswith(""".png"""		):
									cva.imwrite(
									    lowerCamelCase_     ,		self._get_buffer()[:, :, ::-1]     ,		)
							else:
									self.fig.savefig(lowerCamelCase_		)


					def lowerCamelCase_	(		self							:	Optional[int]     ,		lowerCamelCase_							:	Dict     ,		lowerCamelCase_							:	Optional[Any]     ,		lowerCamelCase_							:	Dict     ,		lowerCamelCase_							:	str		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							Any						=	[self.idaobj[i] for i in classes]
							SCREAMING_SNAKE_CASE				:							int						=	[self.idaattr[i] for i in attr_classes]
							SCREAMING_SNAKE_CASE				:							Any						=	[
							    f'''{label} {score:.2f} {attr} {attr_score:.2f}'''
							    for label, score, attr, attr_score in zip(lowerCamelCase_     ,		lowerCamelCase_     ,		lowerCamelCase_     ,		lowerCamelCase_		)
							]
							return labels


					def lowerCamelCase_	(		self							:	Optional[Any]     ,		lowerCamelCase_							:	Any     ,		lowerCamelCase_							:	str		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							List[str]						=	[self.idaobj[i] for i in classes]
							if scores is not None:
									if labels is None:
											SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	["""{:.0f}%""".format(s * 1_00		) for s in scores]
									else:
											SCREAMING_SNAKE_CASE				:							List[Any]						=	["""{} {:.0f}%""".format(lowerCamelCase_     ,		s * 1_00		) for li, s in zip(lowerCamelCase_     ,		lowerCamelCase_		)]
							return labels


					def lowerCamelCase_	(		self							:	Optional[Any]     ,		lowerCamelCase_							:	Optional[int]=2_55		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							List[str]						=	np.random.randint(0     ,		len(_COLORS		)		)
							SCREAMING_SNAKE_CASE				:							List[Any]						=	_COLORS[idx] * maximum
							if not self.rgb:
									SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	ret[::-1]
							return ret


					def lowerCamelCase_	(		self							:	Union[str, Any]		):

							'''simple docstring'''



							if not self.pynb:
									SCREAMING_SNAKE_CASE,    SCREAMING_SNAKE_CASE				:							List[str]						=	self.canvas.print_to_buffer()
									if (width, height) != (self.width, self.height):
											SCREAMING_SNAKE_CASE				:							int						=	cva.resize(self.img     ,		(width, height)		)
									else:
											SCREAMING_SNAKE_CASE				:							List[str]						=	self.img
							else:
									SCREAMING_SNAKE_CASE				:							List[str]						=	io.BytesIO()  # works for cairo backend
									self.canvas.print_rgba(lowerCamelCase_		)
									SCREAMING_SNAKE_CASE,    SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	self.width, self.height
									SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	buf.getvalue()
									SCREAMING_SNAKE_CASE				:							Dict						=	self.img

							SCREAMING_SNAKE_CASE				:							List[str]						=	np.frombuffer(lowerCamelCase_     ,		dtype="""uint8"""		)
							SCREAMING_SNAKE_CASE				:							Any						=	buffer.reshape(lowerCamelCase_     ,		lowerCamelCase_     ,		4		)
							SCREAMING_SNAKE_CASE,    SCREAMING_SNAKE_CASE				:							Dict						=	np.split(lowerCamelCase_     ,		[3]     ,		axis=2		)

							try:
									import numexpr as ne  # fuse them with numexpr

									SCREAMING_SNAKE_CASE				:							List[str]						=	ne.evaluate("""img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"""		)
							except ImportError:
									SCREAMING_SNAKE_CASE				:							Any						=	alpha.astype("""float32"""		) / 255.0
									SCREAMING_SNAKE_CASE				:							Tuple						=	img * (1 - alpha) + rgb * alpha

							return visualized_image.astype("""uint8"""		)



					def lowerCamelCase_	(		self							:	Dict     ,		lowerCamelCase_							:	Union[str, Any]     ,		lowerCamelCase_							:	List[Any]		):

							'''simple docstring'''



							assert brightness_factor >= -1.0 and brightness_factor <= 1.0
							SCREAMING_SNAKE_CASE				:							List[str]						=	mplc.to_rgb(lowerCamelCase_		)
							SCREAMING_SNAKE_CASE				:							List[str]						=	colorsys.rgb_to_hls(*mplc.to_rgb(lowerCamelCase_		)		)
							SCREAMING_SNAKE_CASE				:							Tuple						=	polygon_color[1] + (brightness_factor * polygon_color[1])
							SCREAMING_SNAKE_CASE				:							str						=	0.0 if modified_lightness < 0.0 else modified_lightness
							SCREAMING_SNAKE_CASE				:							Optional[Any]						=	1.0 if modified_lightness > 1.0 else modified_lightness
							SCREAMING_SNAKE_CASE				:							Dict						=	colorsys.hls_to_rgb(polygon_color[0]     ,		lowerCamelCase_     ,		polygon_color[2]		)
							return modified_color







__UpperCAmelCase         =   (
    np.array(
        [
            0.000,
            0.447,
            0.741,
            0.850,
            0.325,
            0.098,
            0.929,
            0.694,
            0.125,
            0.494,
            0.184,
            0.556,
            0.466,
            0.674,
            0.188,
            0.301,
            0.745,
            0.933,
            0.635,
            0.078,
            0.184,
            0.300,
            0.300,
            0.300,
            0.600,
            0.600,
            0.600,
            1.000,
            0.000,
            0.000,
            1.000,
            0.500,
            0.000,
            0.749,
            0.749,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            1.000,
            0.667,
            0.000,
            1.000,
            0.333,
            0.333,
            0.000,
            0.333,
            0.667,
            0.000,
            0.333,
            1.000,
            0.000,
            0.667,
            0.333,
            0.000,
            0.667,
            0.667,
            0.000,
            0.667,
            1.000,
            0.000,
            1.000,
            0.333,
            0.000,
            1.000,
            0.667,
            0.000,
            1.000,
            1.000,
            0.000,
            0.000,
            0.333,
            0.500,
            0.000,
            0.667,
            0.500,
            0.000,
            1.000,
            0.500,
            0.333,
            0.000,
            0.500,
            0.333,
            0.333,
            0.500,
            0.333,
            0.667,
            0.500,
            0.333,
            1.000,
            0.500,
            0.667,
            0.000,
            0.500,
            0.667,
            0.333,
            0.500,
            0.667,
            0.667,
            0.500,
            0.667,
            1.000,
            0.500,
            1.000,
            0.000,
            0.500,
            1.000,
            0.333,
            0.500,
            1.000,
            0.667,
            0.500,
            1.000,
            1.000,
            0.500,
            0.000,
            0.333,
            1.000,
            0.000,
            0.667,
            1.000,
            0.000,
            1.000,
            1.000,
            0.333,
            0.000,
            1.000,
            0.333,
            0.333,
            1.000,
            0.333,
            0.667,
            1.000,
            0.333,
            1.000,
            1.000,
            0.667,
            0.000,
            1.000,
            0.667,
            0.333,
            1.000,
            0.667,
            0.667,
            1.000,
            0.667,
            1.000,
            1.000,
            1.000,
            0.000,
            1.000,
            1.000,
            0.333,
            1.000,
            1.000,
            0.667,
            1.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.167,
            0.000,
            0.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.167,
            0.000,
            0.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.143,
            0.143,
            0.143,
            0.857,
            0.857,
            0.857,
            1.000,
            1.000,
            1.000,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)










'''simple docstring'''




from __future__ import annotations



def 						__A						(       lowerCamelCase_					):


		"""simple docstring"""



		if len(lowerCamelCase_					) == 0:
				raise ValueError("""find_min() arg is an empty sequence"""					)
		SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	nums[0]
		for num in nums:
				SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	min(lowerCamelCase_	,	lowerCamelCase_					)
		return min_num


if __name__ == "__main__":
							import doctest

							doctest.testmod(verbose=True)



