



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


_lowerCamelCase         =	1000

class    _SCREAMING_SNAKE_CASE						:





     def __init__(							self			:				Tuple  ,	UpperCamelCase			:				Optional[Any]  ,	UpperCamelCase			:				Dict=1.2  ,	UpperCamelCase			:				List[str]="g"  ,	UpperCamelCase			:				Dict=0.5  ,	UpperCamelCase			:				Optional[int]="-"  ,	UpperCamelCase			:				Optional[Any]="test_out.jpg"  ,	UpperCamelCase			:				List[str]=True  ,	UpperCamelCase			:				Tuple=False  ,	UpperCamelCase			:				Optional[int]=None  ,	UpperCamelCase			:				int=None  ,	UpperCamelCase			:				Any=0.7  ,	)->Optional[Any]:
      if isinstance(_snake_case  ,	torch.Tensor					):
       __SCREAMING_SNAKE_CASE							:     Optional[int]							=						img.numpy().astype("np.uint8"					)
      if isinstance(_snake_case  ,	_snake_case					):
       __SCREAMING_SNAKE_CASE							:     Dict							=						img_tensorize(_snake_case					)
      assert isinstance(_snake_case  ,	np.ndarray					)

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

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





     def 						__snake_case     (							self			:				Optional[Any]  ,	UpperCamelCase			:				str  ,	UpperCamelCase			:				Union[str, Any]=None					)->Any:
      if color is None:
       __SCREAMING_SNAKE_CASE							:     Tuple							=						self.edgecolor
      (__SCREAMING_SNAKE_CASE)							:     Optional[int]							=						box
      __SCREAMING_SNAKE_CASE							:     str							=						xa - xa
      __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						ya - ya
      self.ax.add_patch(
          mpl.patches.Rectangle(
              (xa, ya)  ,	_snake_case  ,	_snake_case  ,	fill=_snake_case  ,	edgecolor=_snake_case  ,	linewidth=self.font_size // 3  ,	alpha=self.alpha  ,	linestyle=self.linestyle  ,	)					)





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

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





     def 						__snake_case     (							self			:				Dict  ,	UpperCamelCase			:				Any  ,	UpperCamelCase			:				str  ,	UpperCamelCase			:				str					)->Any:
      __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						box
      __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						(xa, ya)
      __SCREAMING_SNAKE_CASE							:     Tuple							=						(ya - ya) * (xa - xa)
      __SCREAMING_SNAKE_CASE							:     str							=						_SMALL_OBJ * self.scale
      if instance_area < small or ya - ya < 4_0 * self.scale:
       if ya >= self.height - 5:
        __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						(xa, ya)
       else:
        __SCREAMING_SNAKE_CASE							:     List[Any]							=						(xa, ya)

      __SCREAMING_SNAKE_CASE							:     Any							=						(ya - ya) / np.sqrt(self.height * self.width					)
      __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						self._change_color_brightness(_snake_case  ,	brightness_factor=0.7					)
      __SCREAMING_SNAKE_CASE							:     int							=						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=_snake_case  ,	position=_snake_case  ,	color=_snake_case  ,	)





     def 						__snake_case     (							self			:				int  ,	UpperCamelCase			:				Union[str, Any]  ,	UpperCamelCase			:				Tuple  ,	UpperCamelCase			:				Any="g"  ,	UpperCamelCase			:				str="left"  ,	)->Tuple:
      __SCREAMING_SNAKE_CASE							:     str							=						0
      __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						self.font_size
      __SCREAMING_SNAKE_CASE							:     int							=						np.maximum(list(mplc.to_rgb(_snake_case					)					)  ,	0.2					)
      __SCREAMING_SNAKE_CASE							:     int							=						max(0.8  ,	np.max(_snake_case					)					)
      __SCREAMING_SNAKE_CASE							:     List[str]							=						{
          'facecolor': 'black',
          'alpha': self.alpha,
          'pad': self.pad,
          'edgecolor': 'none',
      }
      __SCREAMING_SNAKE_CASE							:     Dict							=						position
      self.ax.text(
          _snake_case  ,	_snake_case  ,	_snake_case  ,	size=font_size * self.scale  ,	family="sans-serif"  ,	bbox=_snake_case  ,	verticalalignment="top"  ,	horizontalalignment=_snake_case  ,	color=_snake_case  ,	zorder=1_0  ,	rotation=_snake_case  ,	)





     def 						__snake_case     (							self			:				int  ,	UpperCamelCase			:				Dict=None					)->List[Any]:
      if saveas is None:
       __SCREAMING_SNAKE_CASE							:     Dict							=						self.saveas
      if saveas.lower().endswith(".jpg"					) or saveas.lower().endswith(".png"					):
       cva.imwrite(
           _snake_case  ,	self._get_buffer()[:, :, ::-1]  ,	)
      else:
       self.fig.savefig(_snake_case					)





     def 						__snake_case     (							self			:				Dict  ,	UpperCamelCase			:				Tuple  ,	UpperCamelCase			:				List[Any]  ,	UpperCamelCase			:				List[Any]  ,	UpperCamelCase			:				Dict					)->List[Any]:
      __SCREAMING_SNAKE_CASE							:     Any							=						[self.idaobj[i] for i in classes]
      __SCREAMING_SNAKE_CASE							:     List[Any]							=						[self.idaattr[i] for i in attr_classes]
      __SCREAMING_SNAKE_CASE							:     List[Any]							=						[
          F"""{label} {score:.2f} {attr} {attr_score:.2f}"""
          for label, score, attr, attr_score in zip(_snake_case  ,	_snake_case  ,	_snake_case  ,	_snake_case					)
      ]
      return labels





     def 						__snake_case     (							self			:				Union[str, Any]  ,	UpperCamelCase			:				int  ,	UpperCamelCase			:				Union[str, Any]					)->List[Any]:
      __SCREAMING_SNAKE_CASE							:     str							=						[self.idaobj[i] for i in classes]
      if scores is not None:
       if labels is None:
        __SCREAMING_SNAKE_CASE							:     Optional[int]							=						['{:.0f}%'.format(s * 1_0_0					) for s in scores]
       else:
        __SCREAMING_SNAKE_CASE							:     Tuple							=						['{} {:.0f}%'.format(_snake_case  ,	s * 1_0_0					) for li, s in zip(_snake_case  ,	_snake_case					)]
      return labels





     def 						__snake_case     (							self			:				Optional[int]  ,	UpperCamelCase			:				str=2_5_5					)->int:
      __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						np.random.randint(0  ,	len(_COLORS					)					)
      __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						_COLORS[idx] * maximum
      if not self.rgb:
       __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						ret[::-1]
      return ret





     def 						__snake_case     (							self			:				Optional[Any]					)->Dict:
      if not self.pynb:
       __SCREAMING_SNAKE_CASE							:     int							=						self.canvas.print_to_buffer()
       if (width, height) != (self.width, self.height):
        __SCREAMING_SNAKE_CASE							:     List[Any]							=						cva.resize(self.img  ,	(width, height)					)
       else:
        __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						self.img
      else:
       __SCREAMING_SNAKE_CASE							:     int							=						io.BytesIO()  # works for cairo backend
       self.canvas.print_rgba(_snake_case					)
       __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						self.width, self.height
       __SCREAMING_SNAKE_CASE							:     Any							=						buf.getvalue()
       __SCREAMING_SNAKE_CASE							:     List[str]							=						self.img

      __SCREAMING_SNAKE_CASE							:     List[str]							=						np.frombuffer(_snake_case  ,	dtype="uint8"					)
      __SCREAMING_SNAKE_CASE							:     List[str]							=						buffer.reshape(_snake_case  ,	_snake_case  ,	4					)
      __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						np.split(_snake_case  ,	[3]  ,	axis=2					)

      try:
       import numexpr as ne  # fuse them with numexpr

       __SCREAMING_SNAKE_CASE							:     List[Any]							=						ne.evaluate("img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"					)
      except ImportError:
       __SCREAMING_SNAKE_CASE							:     Dict							=						alpha.astype("float32"					) / 2_5_5.0
       __SCREAMING_SNAKE_CASE							:     Dict							=						img * (1 - alpha) + rgb * alpha

      return visualized_image.astype("uint8"					)






     def 						__snake_case     (							self			:				Any  ,	UpperCamelCase			:				str  ,	UpperCamelCase			:				Optional[Any]					)->Any:
      assert brightness_factor >= -1.0 and brightness_factor <= 1.0
      __SCREAMING_SNAKE_CASE							:     Dict							=						mplc.to_rgb(_snake_case					)
      __SCREAMING_SNAKE_CASE							:     List[Any]							=						colorsys.rgb_to_hls(*mplc.to_rgb(_snake_case					)					)
      __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						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							:     List[Any]							=						1.0 if modified_lightness > 1.0 else modified_lightness
      __SCREAMING_SNAKE_CASE							:     Any							=						colorsys.hls_to_rgb(polygon_color[0]  ,	_snake_case  ,	polygon_color[2]					)
      return modified_color






_lowerCamelCase         =	(
    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)
)









'''simple docstring'''


from itertools import combinations, product







def     SCREAMING_SNAKE_CASE(	UpperCamelCase ,UpperCamelCase ,UpperCamelCase ,UpperCamelCase	)     ->     bool:
	if xa == ya == 0 or xa == ya == 0:
		return False
	UpperCAmelCase_		:   int													=       xa * xa + ya * ya
	UpperCAmelCase_		:   List[str]													=       xa * xa + ya * ya
	UpperCAmelCase_		:   Optional[Any]													=       (xa - xa) * (xa - xa) + (ya - ya) * (ya - ya)
	return (
	    a_square + b_square == c_square
	    or a_square + c_square == b_square
	    or b_square + c_square == a_square
	)







def     SCREAMING_SNAKE_CASE(	UpperCamelCase = 5_0	)     ->     int:
	return sum(
	    1
	    for pta, pta in combinations(product(range(limit + 1	) ,repeat=2	) ,2	)
	    if is_right(*UpperCamelCase ,*UpperCamelCase	)	)


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






