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     						=			10_00




class 				__lowerCAmelCase					:



 '''simple docstring'''

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

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

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

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

        _UpperCamelCase       :    Dict					  =					[self._random_color(maximum=1					) for _ in range(len(lowerCamelCase					)					)]
        _UpperCamelCase       :    Tuple					  =					[assigned_colors[idx] for idx in sorted_idxs]
        if obj_ids is not None:
               _UpperCamelCase       :    Optional[Any]					  =					self._create_text_labels_attr(lowerCamelCase    ,     lowerCamelCase    ,     lowerCamelCase    ,     lowerCamelCase					)
               for i in range(len(lowerCamelCase					)					):
                      _UpperCamelCase       :    Optional[int]					  =					assigned_colors[i]
                      self.add_box(boxes[i]    ,     lowerCamelCase					)
                      self.draw_labels(labels[i]    ,     boxes[i]    ,     lowerCamelCase					)

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

        _UpperCamelCase       :    Optional[int]					  =					(ya - ya) / np.sqrt(self.height * self.width					)
        _UpperCamelCase       :    Union[str, Any]					  =					self._change_color_brightness(lowerCamelCase    ,     brightness_factor=0.7					)
        _UpperCamelCase       :    Optional[Any]					  =					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    __snake_case   (     self    :						int    ,     lowerCamelCase    :						Optional[int]    ,     lowerCamelCase    :						int    ,     lowerCamelCase    :						Optional[int]="g"    ,     lowerCamelCase    :						str="left"    ,     )	->							int:
        _UpperCamelCase       :    Dict					  =					0
        _UpperCamelCase       :    Dict					  =					self.font_size
        _UpperCamelCase       :    Dict					  =					np.maximum(list(mplc.to_rgb(lowerCamelCase					)					)    ,     0.2					)
        _UpperCamelCase       :    int					  =					max(0.8    ,     np.max(lowerCamelCase					)					)
        _UpperCamelCase       :    List[str]					  =					{
            'facecolor': 'black',
            'alpha': self.alpha,
            'pad': self.pad,
            'edgecolor': 'none',
        }
        _UpperCamelCase  , _UpperCamelCase       :    List[Any]					  =					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    __snake_case   (     self    :						int    ,     lowerCamelCase    :						List[str]=None					)	->							Optional[Any]:
        if saveas is None:
               _UpperCamelCase       :    Dict					  =					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    __snake_case   (     self    :						Union[str, Any]    ,     lowerCamelCase    :						Union[str, Any]    ,     lowerCamelCase    :						Optional[Any]    ,     lowerCamelCase    :						Tuple    ,     lowerCamelCase    :						List[Any]					)	->							Optional[int]:
        _UpperCamelCase       :    Dict					  =					[self.idaobj[i] for i in classes]
        _UpperCamelCase       :    Optional[Any]					  =					[self.idaattr[i] for i in attr_classes]
        _UpperCamelCase       :    Optional[Any]					  =					[
            f"{label} {score:.2f} {attr} {attr_score:.2f}"
            for label, score, attr, attr_score in zip(lowerCamelCase    ,     lowerCamelCase    ,     lowerCamelCase    ,     lowerCamelCase					)
        ]
        return labels

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

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

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

        _UpperCamelCase       :    Union[str, Any]					  =					np.frombuffer(lowerCamelCase    ,     dtype='uint8'					)
        _UpperCamelCase       :    Dict					  =					buffer.reshape(lowerCamelCase    ,     lowerCamelCase    ,     4					)
        _UpperCamelCase  , _UpperCamelCase       :    List[Any]					  =					np.split(lowerCamelCase    ,     [3]    ,     axis=2					)

        try:
               import numexpr as ne  # fuse them with numexpr

               _UpperCamelCase       :    Union[str, Any]					  =					ne.evaluate('img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)'					)
        except ImportError:
               _UpperCamelCase       :    int					  =					alpha.astype('float32'					) / 2_5_5.0
               _UpperCamelCase       :    Optional[Any]					  =					img * (1 - alpha) + rgb * alpha

        return visualized_image.astype('uint8'					)

 def    __snake_case   (     self    :						str    ,     lowerCamelCase    :						Dict    ,     lowerCamelCase    :						int					)	->							Tuple:
        assert brightness_factor >= -1.0 and brightness_factor <= 1.0
        _UpperCamelCase       :    str					  =					mplc.to_rgb(lowerCamelCase					)
        _UpperCamelCase       :    Optional[int]					  =					colorsys.rgb_to_hls(*mplc.to_rgb(lowerCamelCase					)					)
        _UpperCamelCase       :    Union[str, Any]					  =					polygon_color[1] + (brightness_factor * polygon_color[1])
        _UpperCamelCase       :    Union[str, Any]					  =					0.0 if modified_lightness < 0.0 else modified_lightness
        _UpperCamelCase       :    Dict					  =					1.0 if modified_lightness > 1.0 else modified_lightness
        _UpperCamelCase       :    Dict					  =					colorsys.hls_to_rgb(polygon_color[0]    ,     lowerCamelCase    ,     polygon_color[2]					)
        return modified_color







UpperCAmelCase     						=			(
    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)
)




def SCREAMING_SNAKE_CASE			(       lowercase_:		int = 4000000			):
       _UpperCamelCase       :    str					  =					1
       _UpperCamelCase       :    str					  =					2
       _UpperCamelCase       :    Tuple					  =					0
       while j <= n:
              if j % 2 == 0:
                     total += j
              _UpperCamelCase  , _UpperCamelCase       :    int					  =					j, i + j

       return total


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



