"""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


a							=1000






class        __UpperCAmelCase						:

				def __init__(				self     ,			_lowerCamelCase     ,			_lowerCamelCase=1.2     ,			_lowerCamelCase="g"     ,			_lowerCamelCase=0.5     ,			_lowerCamelCase="-"     ,			_lowerCamelCase="test_out.jpg"     ,			_lowerCamelCase=True     ,			_lowerCamelCase=False     ,			_lowerCamelCase=None     ,			_lowerCamelCase=None     ,			_lowerCamelCase=0.7     ,			):
								if isinstance(_lowerCamelCase     ,			torch.Tensor				):
												lowerCamelCase__ =img.numpy().astype("np.uint8"				)
								if isinstance(_lowerCamelCase     ,			_lowerCamelCase				):
												lowerCamelCase__ =img_tensorize(_lowerCamelCase				)
								assert isinstance(_lowerCamelCase     ,			np.ndarray				)

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

								lowerCamelCase__ =saveas
								lowerCamelCase__ =rgb
								lowerCamelCase__ =pynb
								lowerCamelCase__ =img
								lowerCamelCase__ =edgecolor
								lowerCamelCase__ =0.5
								lowerCamelCase__ =linestyle
								lowerCamelCase__ =int(np.sqrt(min(_lowerCamelCase     ,			_lowerCamelCase				)				) * scale // 3				)
								lowerCamelCase__ =width
								lowerCamelCase__ =height
								lowerCamelCase__ =scale
								lowerCamelCase__ =fig
								lowerCamelCase__ =ax
								lowerCamelCase__ =pad
								lowerCamelCase__ =idaobj
								lowerCamelCase__ =idaattr
								lowerCamelCase__ =FigureCanvasAgg(_lowerCamelCase				)

				def 		_a     (				self     ,			_lowerCamelCase     ,			_lowerCamelCase=None				):
								if color is None:
												lowerCamelCase__ =self.edgecolor
								((lowerCamelCase__) ,				(lowerCamelCase__) ,				(lowerCamelCase__) ,				(lowerCamelCase__)) =box
								lowerCamelCase__ =xa - xa
								lowerCamelCase__ =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     ,			_lowerCamelCase     ,			_lowerCamelCase=None     ,			_lowerCamelCase=None     ,			_lowerCamelCase=None     ,			_lowerCamelCase=None				):
								if len(boxes.shape				) > 2:
												lowerCamelCase__ =boxes[0]
								if len(obj_ids.shape				) > 1:
												lowerCamelCase__ =obj_ids[0]
								if len(obj_scores.shape				) > 1:
												lowerCamelCase__ =obj_scores[0]
								if len(attr_ids.shape				) > 1:
												lowerCamelCase__ =attr_ids[0]
								if len(attr_scores.shape				) > 1:
												lowerCamelCase__ =attr_scores[0]
								if isinstance(_lowerCamelCase     ,			torch.Tensor				):
												lowerCamelCase__ =boxes.numpy()
								if isinstance(_lowerCamelCase     ,			_lowerCamelCase				):
												lowerCamelCase__ =np.array(_lowerCamelCase				)
								assert isinstance(_lowerCamelCase     ,			np.ndarray				)
								lowerCamelCase__ =np.prod(boxes[:, 2:] - boxes[:, :2]     ,			axis=1				)
								lowerCamelCase__ =np.argsort(-areas				).tolist()
								lowerCamelCase__ =boxes[sorted_idxs] if boxes is not None else None
								lowerCamelCase__ =obj_ids[sorted_idxs] if obj_ids is not None else None
								lowerCamelCase__ =obj_scores[sorted_idxs] if obj_scores is not None else None
								lowerCamelCase__ =attr_ids[sorted_idxs] if attr_ids is not None else None
								lowerCamelCase__ =attr_scores[sorted_idxs] if attr_scores is not None else None

								lowerCamelCase__ =[self._random_color(maximum=1				) for _ in range(len(_lowerCamelCase				)				)]
								lowerCamelCase__ =[assigned_colors[idx] for idx in sorted_idxs]
								if obj_ids is not None:
												lowerCamelCase__ =self._create_text_labels_attr(_lowerCamelCase     ,			_lowerCamelCase     ,			_lowerCamelCase     ,			_lowerCamelCase				)
												for i in range(len(_lowerCamelCase				)				):
																lowerCamelCase__ =assigned_colors[i]
																self.add_box(boxes[i]     ,			_lowerCamelCase				)
																self.draw_labels(labels[i]     ,			boxes[i]     ,			_lowerCamelCase				)

				def 		_a     (				self     ,			_lowerCamelCase     ,			_lowerCamelCase     ,			_lowerCamelCase				):
								lowerCamelCase__ ,				lowerCamelCase__ ,				lowerCamelCase__ ,				lowerCamelCase__ =box
								lowerCamelCase__ =(xa, ya)
								lowerCamelCase__ =(ya - ya) * (xa - xa)
								lowerCamelCase__ =_SMALL_OBJ * self.scale
								if instance_area < small or ya - ya < 40 * self.scale:
												if ya >= self.height - 5:
																lowerCamelCase__ =(xa, ya)
												else:
																lowerCamelCase__ =(xa, ya)

								lowerCamelCase__ =(ya - ya) / np.sqrt(self.height * self.width				)
								lowerCamelCase__ =self._change_color_brightness(_lowerCamelCase     ,			brightness_factor=0.7				)
								lowerCamelCase__ =np.clip((height_ratio - 0.0_2) / 0.0_8 + 1     ,			1.2     ,			2				)
								font_size *= 0.7_5 * self.font_size

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

				def 		_a     (				self     ,			_lowerCamelCase     ,			_lowerCamelCase     ,			_lowerCamelCase="g"     ,			_lowerCamelCase="left"     ,			):
								lowerCamelCase__ =0
								lowerCamelCase__ =self.font_size
								lowerCamelCase__ =np.maximum(list(mplc.to_rgb(_lowerCamelCase				)				)     ,			0.2				)
								lowerCamelCase__ =max(0.8     ,			np.max(_lowerCamelCase				)				)
								lowerCamelCase__ ={
								    "facecolor": "black",
								    "alpha": self.alpha,
								    "pad": self.pad,
								    "edgecolor": "none",
								}
								lowerCamelCase__ ,				lowerCamelCase__ =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 		_a     (				self     ,			_lowerCamelCase=None				):
								if saveas is None:
												lowerCamelCase__ =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     ,			_lowerCamelCase     ,			_lowerCamelCase     ,			_lowerCamelCase     ,			_lowerCamelCase				):
								lowerCamelCase__ =[self.idaobj[i] for i in classes]
								lowerCamelCase__ =[self.idaattr[i] for i in attr_classes]
								lowerCamelCase__ =[
								    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     ,			_lowerCamelCase     ,			_lowerCamelCase				):
								lowerCamelCase__ =[self.idaobj[i] for i in classes]
								if scores is not None:
												if labels is None:
																lowerCamelCase__ =["{:.0f}%".format(s * 100				) for s in scores]
												else:
																lowerCamelCase__ =["{} {:.0f}%".format(_lowerCamelCase     ,			s * 100				) for li, s in zip(_lowerCamelCase     ,			_lowerCamelCase				)]
								return labels

				def 		_a     (				self     ,			_lowerCamelCase=255				):
								lowerCamelCase__ =np.random.randint(0     ,			len(_COLORS				)				)
								lowerCamelCase__ =_COLORS[idx] * maximum
								if not self.rgb:
												lowerCamelCase__ =ret[::-1]
								return ret

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

								lowerCamelCase__ =np.frombuffer(_lowerCamelCase     ,			dtype="uint8"				)
								lowerCamelCase__ =buffer.reshape(_lowerCamelCase     ,			_lowerCamelCase     ,			4				)
								lowerCamelCase__ ,				lowerCamelCase__ =np.split(_lowerCamelCase     ,			[3]     ,			axis=2				)

								try:
												import numexpr as ne  # fuse them with numexpr

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

								return visualized_image.astype("uint8"				)






				def 		_a     (				self     ,			_lowerCamelCase     ,			_lowerCamelCase				):
								assert brightness_factor >= -1.0 and brightness_factor <= 1.0
								lowerCamelCase__ =mplc.to_rgb(_lowerCamelCase				)
								lowerCamelCase__ =colorsys.rgb_to_hls(*mplc.to_rgb(_lowerCamelCase				)				)
								lowerCamelCase__ =polygon_color[1] + (brightness_factor * polygon_color[1])
								lowerCamelCase__ =0.0 if modified_lightness < 0.0 else modified_lightness
								lowerCamelCase__ =1.0 if modified_lightness > 1.0 else modified_lightness
								lowerCamelCase__ =colorsys.hls_to_rgb(polygon_color[0]     ,			_lowerCamelCase     ,			polygon_color[2]				)
								return modified_color





a							=(
    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

from collections.abc import Generator





def       lowerCamelCase_			( __lowerCAmelCase    )							-> Generator[int, None, None]:




						'''simple docstring'''



						if not isinstance(__lowerCAmelCase       ,   __lowerCAmelCase    ) or n < 1:
												raise Exception("Sequence only defined for positive integers"    )

						yield n
						while n != 1:
												if n % 2 == 0:
																		n //= 2
												else:
																		lowerCamelCase__ =3 * n + 1
												yield n





def       lowerCamelCase_			( )							-> List[str]:




						'''simple docstring'''



						lowerCamelCase__ =43
						lowerCamelCase__ =tuple(collatz_sequence(__lowerCAmelCase    )    )
						print(__lowerCAmelCase    )
						print(F'''Collatz sequence from {n} took {len(__lowerCAmelCase    )} steps.'''    )


if __name__ == "__main__":
	main()


