





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    :   Tuple          =       1_000

class      A_	:
	def __init__(   self							, _A							, _A=1.2							, _A="g"							, _A=0.5							, _A="-"							, _A="test_out.jpg"							, _A=True							, _A=False							, _A=None							, _A=None							, _A=0.7							, ):






				'''simple docstring'''







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

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

				UpperCAmelCase       		=    saveas
				UpperCAmelCase       		=    rgb
				UpperCAmelCase       		=    pynb
				UpperCAmelCase       		=    img
				UpperCAmelCase       		=    edgecolor
				UpperCAmelCase       		=    0.5
				UpperCAmelCase       		=    linestyle
				UpperCAmelCase       		=    int(np.sqrt(min(_A							, _A		)		) * scale // 3		)
				UpperCAmelCase       		=    width
				UpperCAmelCase       		=    height
				UpperCAmelCase       		=    scale
				UpperCAmelCase       		=    fig
				UpperCAmelCase       		=    ax
				UpperCAmelCase       		=    pad
				UpperCAmelCase       		=    idaobj
				UpperCAmelCase       		=    idaattr
				UpperCAmelCase       		=    FigureCanvasAgg(_A		)
	def 					_lowercase    (   self							, _A							, _A=None		):






				'''simple docstring'''







				if color is None:
							UpperCAmelCase       		=    self.edgecolor
				((UpperCAmelCase)		,      (UpperCAmelCase)		,      (UpperCAmelCase)		,      (UpperCAmelCase))       		=    box
				UpperCAmelCase       		=    xa - xa
				UpperCAmelCase       		=    ya - ya
				self.ax.add_patch(
				    mpl.patches.Rectangle(
				        (xa, ya)							, _A							, _A							, fill=_A							, edgecolor=_A							, linewidth=self.font_size // 3							, alpha=self.alpha							, linestyle=self.linestyle							, )		)
	def 					_lowercase    (   self							, _A							, _A=None							, _A=None							, _A=None							, _A=None		):






				'''simple docstring'''







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

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






				'''simple docstring'''







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

				UpperCAmelCase       		=    (ya - ya) / np.sqrt(self.height * self.width		)
				UpperCAmelCase       		=    self._change_color_brightness(_A							, brightness_factor=0.7		)
				UpperCAmelCase       		=    np.clip((height_ratio - 0.02) / 0.08 + 1							, 1.2							, 2		)
				font_size *= 0.75 * self.font_size

				self.draw_text(
				    text=_A							, position=_A							, color=_A							, )
	def 					_lowercase    (   self							, _A							, _A							, _A="g"							, _A="left"							, ):






				'''simple docstring'''







				UpperCAmelCase       		=    0
				UpperCAmelCase       		=    self.font_size
				UpperCAmelCase       		=    np.maximum(list(mplc.to_rgb(_A		)		)							, 0.2		)
				UpperCAmelCase       		=    max(0.8							, np.max(_A		)		)
				UpperCAmelCase       		=    {
				    '''facecolor''': '''black''',
				    '''alpha''': self.alpha,
				    '''pad''': self.pad,
				    '''edgecolor''': '''none''',
				}
				UpperCAmelCase		,      UpperCAmelCase       		=    position
				self.ax.text(
				    _A							, _A							, _A							, size=font_size * self.scale							, family='''sans-serif'''							, bbox=_A							, verticalalignment='''top'''							, horizontalalignment=_A							, color=_A							, zorder=1_0							, rotation=_A							, )
	def 					_lowercase    (   self							, _A=None		):






				'''simple docstring'''







				if saveas is None:
							UpperCAmelCase       		=    self.saveas
				if saveas.lower().endswith('''.jpg'''		) or saveas.lower().endswith('''.png'''		):
							cva.imwrite(
							    _A							, self._get_buffer()[:, :, ::-1]							, )
				else:
							self.fig.savefig(_A		)
	def 					_lowercase    (   self							, _A							, _A							, _A							, _A		):






				'''simple docstring'''







				UpperCAmelCase       		=    [self.idaobj[i] for i in classes]
				UpperCAmelCase       		=    [self.idaattr[i] for i in attr_classes]
				UpperCAmelCase       		=    [
				    F"""{label} {score:.2f} {attr} {attr_score:.2f}"""
				    for label, score, attr, attr_score in zip(_A							, _A							, _A							, _A		)
				]
				return labels
	def 					_lowercase    (   self							, _A							, _A		):






				'''simple docstring'''







				UpperCAmelCase       		=    [self.idaobj[i] for i in classes]
				if scores is not None:
							if labels is None:
										UpperCAmelCase       		=    ['''{:.0f}%'''.format(s * 1_0_0		) for s in scores]
							else:
										UpperCAmelCase       		=    ['''{} {:.0f}%'''.format(_A							, s * 1_0_0		) for li, s in zip(_A							, _A		)]
				return labels
	def 					_lowercase    (   self							, _A=2_5_5		):






				'''simple docstring'''







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






				'''simple docstring'''







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

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

				try:
							import numexpr as ne  # fuse them with numexpr

							UpperCAmelCase       		=    ne.evaluate('''img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)'''		)
				except ImportError:
							UpperCAmelCase       		=    alpha.astype('''float32'''		) / 2_55.0
							UpperCAmelCase       		=    img * (1 - alpha) + rgb * alpha

				return visualized_image.astype('''uint8'''		)







	def 					_lowercase    (   self							, _A							, _A		):






				'''simple docstring'''







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










import math





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__			)  ->    bool:







			'''simple docstring'''

			if 1 < number < 4:
						# 2 and 3 are primes
						return True
			elif number < 2 or number % 2 == 0 or number % 3 == 0:
						# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
						return False

			# All primes number are in format of 6k +/- 1
			for i in range(5      ,      int(math.sqrt(UpperCamelCase__			) + 1			)      ,      6			):
						if number % i == 0 or number % (i + 2) == 0:
									return False
			return True





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__ = 6008_5147_5143			)  ->    int:







			'''simple docstring'''

			try:
						UpperCAmelCase       		=    int(UpperCamelCase__			)
			except (TypeError, ValueError):
						raise TypeError('''Parameter n must be int or castable to int.'''			)
			if n <= 0:
						raise ValueError('''Parameter n must be greater than or equal to one.'''			)
			UpperCAmelCase       		=    0
			if is_prime(UpperCamelCase__			):
						return n
			while n % 2 == 0:
						n //= 2
			if is_prime(UpperCamelCase__			):
						return n
			for i in range(3      ,      int(math.sqrt(UpperCamelCase__			)			) + 1      ,      2			):
						if n % i == 0:
									if is_prime(n // i			):
												UpperCAmelCase       		=    n // i
												break
									elif is_prime(UpperCamelCase__			):
												UpperCAmelCase       		=    i
			return max_number


if __name__ == "__main__":
				print(F'{solution() = }')



