


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 :				Optional[int]						    =       1_000

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



											'''simple docstring'''





											if isinstance(_lowerCAmelCase  ,			torch.Tensor     ):
																	__magic_name__ 		=			img.numpy().astype('np.uint8'     )
											if isinstance(_lowerCAmelCase  ,			_lowerCAmelCase     ):
																	__magic_name__ 		=			img_tensorize(_lowerCAmelCase     )
											assert isinstance(_lowerCAmelCase  ,			np.ndarray     )

											__magic_name__		,			__magic_name__ 		=			img.shape[1], img.shape[0]
											__magic_name__ 		=			mplfigure.Figure(frameon=_lowerCAmelCase     )
											__magic_name__ 		=			fig.get_dpi()
											__magic_name__ 		=			(width * scale + 1E-2) / dpi
											__magic_name__ 		=			(height * scale + 1E-2) / dpi
											fig.set_size_inches(_lowerCAmelCase  ,			_lowerCAmelCase     )
											__magic_name__ 		=			fig.add_axes([0.0, 0.0, 1.0, 1.0]     )
											ax.axis('off'     )
											ax.set_xlim(0.0  ,			_lowerCAmelCase     )
											ax.set_ylim(_lowerCAmelCase     )

											__magic_name__ 		=			saveas
											__magic_name__ 		=			rgb
											__magic_name__ 		=			pynb
											__magic_name__ 		=			img
											__magic_name__ 		=			edgecolor
											__magic_name__ 		=			0.5
											__magic_name__ 		=			linestyle
											__magic_name__ 		=			int(np.sqrt(min(_lowerCAmelCase  ,			_lowerCAmelCase     )     ) * scale // 3     )
											__magic_name__ 		=			width
											__magic_name__ 		=			height
											__magic_name__ 		=			scale
											__magic_name__ 		=			fig
											__magic_name__ 		=			ax
											__magic_name__ 		=			pad
											__magic_name__ 		=			idaobj
											__magic_name__ 		=			idaattr
											__magic_name__ 		=			FigureCanvasAgg(_lowerCAmelCase     )
					def   a (	self					:	Dict  ,			_lowerCAmelCase					:	Union[str, Any]  ,			_lowerCAmelCase					:	str=None     )       ->				Union[str, Any]:



											'''simple docstring'''





											if color is None:
																	__magic_name__ 		=			self.edgecolor
											((__magic_name__)		,			(__magic_name__)		,			(__magic_name__)		,			(__magic_name__)) 		=			box
											__magic_name__ 		=			xa - xa
											__magic_name__ 		=			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   a (	self					:	int  ,			_lowerCAmelCase					:	Tuple  ,			_lowerCAmelCase					:	List[str]=None  ,			_lowerCAmelCase					:	int=None  ,			_lowerCAmelCase					:	Union[str, Any]=None  ,			_lowerCAmelCase					:	Optional[int]=None     )       ->				Union[str, Any]:



											'''simple docstring'''





											if len(boxes.shape     ) > 2:
																	__magic_name__ 		=			boxes[0]
											if len(obj_ids.shape     ) > 1:
																	__magic_name__ 		=			obj_ids[0]
											if len(obj_scores.shape     ) > 1:
																	__magic_name__ 		=			obj_scores[0]
											if len(attr_ids.shape     ) > 1:
																	__magic_name__ 		=			attr_ids[0]
											if len(attr_scores.shape     ) > 1:
																	__magic_name__ 		=			attr_scores[0]
											if isinstance(_lowerCAmelCase  ,			torch.Tensor     ):
																	__magic_name__ 		=			boxes.numpy()
											if isinstance(_lowerCAmelCase  ,			_lowerCAmelCase     ):
																	__magic_name__ 		=			np.array(_lowerCAmelCase     )
											assert isinstance(_lowerCAmelCase  ,			np.ndarray     )
											__magic_name__ 		=			np.prod(boxes[:, 2:] - boxes[:, :2]  ,			axis=1     )
											__magic_name__ 		=			np.argsort(-areas     ).tolist()
											__magic_name__ 		=			boxes[sorted_idxs] if boxes is not None else None
											__magic_name__ 		=			obj_ids[sorted_idxs] if obj_ids is not None else None
											__magic_name__ 		=			obj_scores[sorted_idxs] if obj_scores is not None else None
											__magic_name__ 		=			attr_ids[sorted_idxs] if attr_ids is not None else None
											__magic_name__ 		=			attr_scores[sorted_idxs] if attr_scores is not None else None

											__magic_name__ 		=			[self._random_color(maximum=1     ) for _ in range(len(_lowerCAmelCase     )     )]
											__magic_name__ 		=			[assigned_colors[idx] for idx in sorted_idxs]
											if obj_ids is not None:
																	__magic_name__ 		=			self._create_text_labels_attr(_lowerCAmelCase  ,			_lowerCAmelCase  ,			_lowerCAmelCase  ,			_lowerCAmelCase     )
																	for i in range(len(_lowerCAmelCase     )     ):
																							__magic_name__ 		=			assigned_colors[i]
																							self.add_box(boxes[i]  ,			_lowerCAmelCase     )
																							self.draw_labels(labels[i]  ,			boxes[i]  ,			_lowerCAmelCase     )
					def   a (	self					:	Optional[int]  ,			_lowerCAmelCase					:	Any  ,			_lowerCAmelCase					:	Union[str, Any]  ,			_lowerCAmelCase					:	Optional[Any]     )       ->				Any:



											'''simple docstring'''





											__magic_name__		,			__magic_name__		,			__magic_name__		,			__magic_name__ 		=			box
											__magic_name__ 		=			(xa, ya)
											__magic_name__ 		=			(ya - ya) * (xa - xa)
											__magic_name__ 		=			_SMALL_OBJ * self.scale
											if instance_area < small or ya - ya < 4_0 * self.scale:
																	if ya >= self.height - 5:
																							__magic_name__ 		=			(xa, ya)
																	else:
																							__magic_name__ 		=			(xa, ya)

											__magic_name__ 		=			(ya - ya) / np.sqrt(self.height * self.width     )
											__magic_name__ 		=			self._change_color_brightness(_lowerCAmelCase  ,			brightness_factor=0.7     )
											__magic_name__ 		=			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   a (	self					:	Union[str, Any]  ,			_lowerCAmelCase					:	str  ,			_lowerCAmelCase					:	Union[str, Any]  ,			_lowerCAmelCase					:	Optional[int]="g"  ,			_lowerCAmelCase					:	int="left"  ,			)       ->				int:



											'''simple docstring'''





											__magic_name__ 		=			0
											__magic_name__ 		=			self.font_size
											__magic_name__ 		=			np.maximum(list(mplc.to_rgb(_lowerCAmelCase     )     )  ,			0.2     )
											__magic_name__ 		=			max(0.8  ,			np.max(_lowerCAmelCase     )     )
											__magic_name__ 		=			{
											    'facecolor': 'black',
											    'alpha': self.alpha,
											    'pad': self.pad,
											    'edgecolor': 'none',
											}
											__magic_name__		,			__magic_name__ 		=			position
											self.ax.text(
											    _lowerCAmelCase  ,			_lowerCAmelCase  ,			_lowerCAmelCase  ,			size=font_size * self.scale  ,			family='sans-serif'  ,			bbox=_lowerCAmelCase  ,			verticalalignment='top'  ,			horizontalalignment=_lowerCAmelCase  ,			color=_lowerCAmelCase  ,			zorder=1_0  ,			rotation=_lowerCAmelCase  ,			)
					def   a (	self					:	Optional[int]  ,			_lowerCAmelCase					:	Any=None     )       ->				List[str]:



											'''simple docstring'''





											if saveas is None:
																	__magic_name__ 		=			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   a (	self					:	Tuple  ,			_lowerCAmelCase					:	Optional[Any]  ,			_lowerCAmelCase					:	Union[str, Any]  ,			_lowerCAmelCase					:	str  ,			_lowerCAmelCase					:	List[str]     )       ->				Union[str, Any]:



											'''simple docstring'''





											__magic_name__ 		=			[self.idaobj[i] for i in classes]
											__magic_name__ 		=			[self.idaattr[i] for i in attr_classes]
											__magic_name__ 		=			[
											    F'''{label} {score:.2f} {attr} {attr_score:.2f}'''
											    for label, score, attr, attr_score in zip(_lowerCAmelCase  ,			_lowerCAmelCase  ,			_lowerCAmelCase  ,			_lowerCAmelCase     )
											]
											return labels
					def   a (	self					:	Tuple  ,			_lowerCAmelCase					:	int  ,			_lowerCAmelCase					:	List[Any]     )       ->				str:



											'''simple docstring'''





											__magic_name__ 		=			[self.idaobj[i] for i in classes]
											if scores is not None:
																	if labels is None:
																							__magic_name__ 		=			['{:.0f}%'.format(s * 1_0_0     ) for s in scores]
																	else:
																							__magic_name__ 		=			['{} {:.0f}%'.format(_lowerCAmelCase  ,			s * 1_0_0     ) for li, s in zip(_lowerCAmelCase  ,			_lowerCAmelCase     )]
											return labels
					def   a (	self					:	List[Any]  ,			_lowerCAmelCase					:	List[Any]=2_5_5     )       ->				Optional[Any]:



											'''simple docstring'''





											__magic_name__ 		=			np.random.randint(0  ,			len(_COLORS     )     )
											__magic_name__ 		=			_COLORS[idx] * maximum
											if not self.rgb:
																	__magic_name__ 		=			ret[::-1]
											return ret
					def   a (	self					:	int     )       ->				Any:



											'''simple docstring'''





											if not self.pynb:
																	__magic_name__		,			__magic_name__ 		=			self.canvas.print_to_buffer()
																	if (width, height) != (self.width, self.height):
																							__magic_name__ 		=			cva.resize(self.img  ,			(width, height)     )
																	else:
																							__magic_name__ 		=			self.img
											else:
																	__magic_name__ 		=			io.BytesIO()  # works for cairo backend
																	self.canvas.print_rgba(_lowerCAmelCase     )
																	__magic_name__		,			__magic_name__ 		=			self.width, self.height
																	__magic_name__ 		=			buf.getvalue()
																	__magic_name__ 		=			self.img

											__magic_name__ 		=			np.frombuffer(_lowerCAmelCase  ,			dtype='uint8'     )
											__magic_name__ 		=			buffer.reshape(_lowerCAmelCase  ,			_lowerCAmelCase  ,			4     )
											__magic_name__		,			__magic_name__ 		=			np.split(_lowerCAmelCase  ,			[3]  ,			axis=2     )

											try:
																	import numexpr as ne  # fuse them with numexpr

																	__magic_name__ 		=			ne.evaluate('img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)'     )
											except ImportError:
																	__magic_name__ 		=			alpha.astype('float32'     ) / 255.0
																	__magic_name__ 		=			img * (1 - alpha) + rgb * alpha

											return visualized_image.astype('uint8'     )







					def   a (	self					:	Tuple  ,			_lowerCAmelCase					:	List[Any]  ,			_lowerCAmelCase					:	Optional[Any]     )       ->				List[str]:



											'''simple docstring'''





											assert brightness_factor >= -1.0 and brightness_factor <= 1.0
											__magic_name__ 		=			mplc.to_rgb(_lowerCAmelCase     )
											__magic_name__ 		=			colorsys.rgb_to_hls(*mplc.to_rgb(_lowerCAmelCase     )     )
											__magic_name__ 		=			polygon_color[1] + (brightness_factor * polygon_color[1])
											__magic_name__ 		=			0.0 if modified_lightness < 0.0 else modified_lightness
											__magic_name__ 		=			1.0 if modified_lightness > 1.0 else modified_lightness
											__magic_name__ 		=			colorsys.hls_to_rgb(polygon_color[0]  ,			_lowerCAmelCase  ,			polygon_color[2]     )
											return modified_color







UpperCamelCase :				Optional[int]						    =       (
    np.array(
        [
            0.0_0_0,
            0.4_4_7,
            0.7_4_1,
            0.8_5_0,
            0.3_2_5,
            0.0_9_8,
            0.9_2_9,
            0.6_9_4,
            0.1_2_5,
            0.4_9_4,
            0.1_8_4,
            0.5_5_6,
            0.4_6_6,
            0.6_7_4,
            0.1_8_8,
            0.3_0_1,
            0.7_4_5,
            0.9_3_3,
            0.6_3_5,
            0.0_7_8,
            0.1_8_4,
            0.3_0_0,
            0.3_0_0,
            0.3_0_0,
            0.6_0_0,
            0.6_0_0,
            0.6_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.7_4_9,
            0.7_4_9,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.3_3_3,
            0.0_0_0,
            0.3_3_3,
            0.6_6_7,
            0.0_0_0,
            0.3_3_3,
            1.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.3_3_3,
            0.0_0_0,
            0.6_6_7,
            0.6_6_7,
            0.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.5_0_0,
            0.0_0_0,
            0.6_6_7,
            0.5_0_0,
            0.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.3_3_3,
            0.0_0_0,
            0.5_0_0,
            0.3_3_3,
            0.3_3_3,
            0.5_0_0,
            0.3_3_3,
            0.6_6_7,
            0.5_0_0,
            0.3_3_3,
            1.0_0_0,
            0.5_0_0,
            0.6_6_7,
            0.0_0_0,
            0.5_0_0,
            0.6_6_7,
            0.3_3_3,
            0.5_0_0,
            0.6_6_7,
            0.6_6_7,
            0.5_0_0,
            0.6_6_7,
            1.0_0_0,
            0.5_0_0,
            1.0_0_0,
            0.0_0_0,
            0.5_0_0,
            1.0_0_0,
            0.3_3_3,
            0.5_0_0,
            1.0_0_0,
            0.6_6_7,
            0.5_0_0,
            1.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.3_3_3,
            1.0_0_0,
            0.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.3_3_3,
            1.0_0_0,
            0.3_3_3,
            0.6_6_7,
            1.0_0_0,
            0.3_3_3,
            1.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.3_3_3,
            1.0_0_0,
            0.6_6_7,
            0.6_6_7,
            1.0_0_0,
            0.6_6_7,
            1.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.3_3_3,
            1.0_0_0,
            1.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_6_7,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_6_7,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_4_3,
            0.1_4_3,
            0.1_4_3,
            0.8_5_7,
            0.8_5_7,
            0.8_5_7,
            1.0_0_0,
            1.0_0_0,
            1.0_0_0,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)





def 							UpperCamelCase_  (				__snake_case			:						str     )->      int:




						'''simple docstring'''
						__magic_name__ 		=			__magic_name__ 		=			0
						for letter in data:
												__magic_name__ 		=			(hash_ << 4) + ord(__snake_case     )
												__magic_name__ 		=			hash_ & 0xf000_0000
												if x != 0:
																		hash_ ^= x >> 24
												hash_ &= ~x
						return hash_


if __name__ == "__main__":
					import doctest

					doctest.testmod()

