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


snake_case__						      =			1000



class 			UpperCamelCase					:

     '''simple docstring'''

     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					,					)			->					Dict:






           """simple docstring"""
           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 		UpperCamelCase_    (       self					,					A_					,					A_=None    )			->					Dict:






           """simple docstring"""
           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 		UpperCamelCase_    (       self					,					A_					,					A_=None					,					A_=None					,					A_=None					,					A_=None    )			->					Optional[int]:






           """simple docstring"""
           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 		UpperCamelCase_    (       self					,					A_					,					A_					,					A_    )			->					Optional[int]:






           """simple docstring"""
           _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 - 0.02) / 0.08 + 1					,					1.2					,					2    )
           font_size *= 0.75 * self.font_size

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



     def 		UpperCamelCase_    (       self					,					A_					,					A_					,					A_="g"					,					A_="left"					,					)			->					List[str]:






           """simple docstring"""
           _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 		UpperCamelCase_    (       self					,					A_=None    )			->					Optional[Any]:






           """simple docstring"""
           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 		UpperCamelCase_    (       self					,					A_					,					A_					,					A_					,					A_    )			->					Dict:






           """simple docstring"""
           _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 		UpperCamelCase_    (       self					,					A_					,					A_    )			->					List[Any]:






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



     def 		UpperCamelCase_    (       self					,					A_=2_55    )			->					Union[str, Any]:






           """simple docstring"""
           _lowerCamelCase           =					np.random.randint(0					,					len(_COLORS    )    )
           _lowerCamelCase           =					_COLORS[idx] * maximum
           if not self.rgb:
                 _lowerCamelCase           =					ret[::-1]
           return ret



     def 		UpperCamelCase_    (       self    )			->					Dict:






           """simple docstring"""
           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 		UpperCamelCase_    (       self					,					A_					,					A_    )			->					Dict:






           """simple docstring"""
           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





snake_case__						      =			(
    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)
)



from __future__ import annotations

import math
from itertools import permutations

def 		snake_case_   (				lowercase__     :    int     ):






				'''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(lowercase__     ) + 1     )       ,     6     ):
								if number % i == 0 or number % (i + 2) == 0:
												return False
				return True

def 		snake_case_   (				lowercase__     :    int = 7     ):






				'''simple docstring'''






				_lowerCAmelCase  						="""""".join(str(lowercase__     ) for i in range(1       ,     n + 1     )     )
				_lowerCAmelCase  						=[int("""""".join(lowercase__     )     ) for i in permutations(lowercase__       ,     lowercase__     )]
				_lowerCAmelCase  						=[num for num in perm_list if is_prime(lowercase__     )]
				return max(lowercase__     ) if pandigitals else 0


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

