

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    	=			10_00



class 						lowercase_					:



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

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

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



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

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



      def 		UpperCamelCase_	(    self   :       Union[str, Any]    ,      A__   :       List[str]    ,      A__   :       Tuple    ,      A__   :       List[str]	)					->  str:
        _snake_case,  _snake_case,  _snake_case,  _snake_case		=							box
        _snake_case		=							(xa, ya)
        _snake_case		=							(ya - ya) * (xa - xa)
        _snake_case		=							_SMALL_OBJ * self.scale
        if instance_area < small or ya - ya < 40 * self.scale:
          if ya >= self.height - 5:
            _snake_case		=							(xa, ya)
          else:
            _snake_case		=							(xa, ya)

        _snake_case		=							(ya - ya) / np.sqrt(self.height * self.width	)
        _snake_case		=							self._change_color_brightness(A__    ,      brightness_factor=0.7	)
        _snake_case		=							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 		UpperCamelCase_	(    self   :       Optional[Any]    ,      A__   :       Tuple    ,      A__   :       Tuple    ,      A__   :       Tuple="g"    ,      A__   :       Optional[int]="left"    ,      )					->  str:
        _snake_case		=							0
        _snake_case		=							self.font_size
        _snake_case		=							np.maximum(list(mplc.to_rgb(A__	)	)    ,      0.2	)
        _snake_case		=							max(0.8    ,      np.max(A__	)	)
        _snake_case		=							{
            '''facecolor''': '''black''',
            '''alpha''': self.alpha,
            '''pad''': self.pad,
            '''edgecolor''': '''none''',
        }
        _snake_case,  _snake_case		=							position
        self.ax.text(
            A__    ,      A__    ,      A__    ,      size=font_size * self.scale    ,      family='''sans-serif'''    ,      bbox=A__    ,      verticalalignment='''top'''    ,      horizontalalignment=A__    ,      color=A__    ,      zorder=10    ,      rotation=A__    ,      )



      def 		UpperCamelCase_	(    self   :       Union[str, Any]    ,      A__   :       str=None	)					->  Dict:
        if saveas is None:
          _snake_case		=							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 		UpperCamelCase_	(    self   :       Union[str, Any]    ,      A__   :       Any    ,      A__   :       List[str]    ,      A__   :       Any    ,      A__   :       Union[str, Any]	)					->  Tuple:
        _snake_case		=							[self.idaobj[i] for i in classes]
        _snake_case		=							[self.idaattr[i] for i in attr_classes]
        _snake_case		=							[
            f"""{label} {score:.2f} {attr} {attr_score:.2f}"""
            for label, score, attr, attr_score in zip(A__    ,      A__    ,      A__    ,      A__	)
        ]
        return labels



      def 		UpperCamelCase_	(    self   :       int    ,      A__   :       Union[str, Any]    ,      A__   :       List[Any]	)					->  Union[str, Any]:
        _snake_case		=							[self.idaobj[i] for i in classes]
        if scores is not None:
          if labels is None:
            _snake_case		=							['''{:.0f}%'''.format(s * 100	) for s in scores]
          else:
            _snake_case		=							['''{} {:.0f}%'''.format(A__    ,      s * 100	) for li, s in zip(A__    ,      A__	)]
        return labels



      def 		UpperCamelCase_	(    self   :       Union[str, Any]    ,      A__   :       Union[str, Any]=255	)					->  Dict:
        _snake_case		=							np.random.randint(0    ,      len(_COLORS	)	)
        _snake_case		=							_COLORS[idx] * maximum
        if not self.rgb:
          _snake_case		=							ret[::-1]
        return ret



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

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

        try:
          import numexpr as ne  # fuse them with numexpr

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

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







      def 		UpperCamelCase_	(    self   :       Optional[int]    ,      A__   :       Optional[int]    ,      A__   :       Optional[Any]	)					->  List[Any]:
        assert brightness_factor >= -1.0 and brightness_factor <= 1.0
        _snake_case		=							mplc.to_rgb(A__	)
        _snake_case		=							colorsys.rgb_to_hls(*mplc.to_rgb(A__	)	)
        _snake_case		=							polygon_color[1] + (brightness_factor * polygon_color[1])
        _snake_case		=							0.0 if modified_lightness < 0.0 else modified_lightness
        _snake_case		=							1.0 if modified_lightness > 1.0 else modified_lightness
        _snake_case		=							colorsys.hls_to_rgb(polygon_color[0]    ,      A__    ,      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)
)




from __future__ import annotations



def    snake_case_(_UpperCamelCase  )							->			int | float:



  """simple docstring"""






  if len(_UpperCamelCase  ) == 0:
    raise ValueError('''find_max() arg is an empty sequence'''  )
  _snake_case		=							nums[0]
  for x in nums:
    if x > max_num:
      _snake_case		=							x
  return max_num


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)

