
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        =1_0_0_0





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






       if isinstance(UpperCamelCase__   ,  torch.Tensor				):
        lowerCamelCase		:     Optional[Any]          =				img.numpy().astype("""np.uint8"""				)
       if isinstance(UpperCamelCase__   ,  UpperCamelCase__				):
        lowerCamelCase		:     Optional[Any]          =				img_tensorize(UpperCamelCase__				)
       assert isinstance(UpperCamelCase__   ,  np.ndarray				)

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

       lowerCamelCase		:     Union[str, Any]          =				saveas
       lowerCamelCase		:     List[str]          =				rgb
       lowerCamelCase		:     Tuple          =				pynb
       lowerCamelCase		:     List[Any]          =				img
       lowerCamelCase		:     List[Any]          =				edgecolor
       lowerCamelCase		:     Optional[int]          =				0.5
       lowerCamelCase		:     Optional[int]          =				linestyle
       lowerCamelCase		:     List[str]          =				int(np.sqrt(min(UpperCamelCase__   ,  UpperCamelCase__				)				) * scale // 3				)
       lowerCamelCase		:     int          =				width
       lowerCamelCase		:     str          =				height
       lowerCamelCase		:     List[Any]          =				scale
       lowerCamelCase		:     Dict          =				fig
       lowerCamelCase		:     Dict          =				ax
       lowerCamelCase		:     int          =				pad
       lowerCamelCase		:     Tuple          =				idaobj
       lowerCamelCase		:     Optional[int]          =				idaattr
       lowerCamelCase		:     List[str]          =				FigureCanvasAgg(UpperCamelCase__				)
      def 						UpperCamelCase__							(				self   ,  __magic_name__   ,  __magic_name__=None				):






       if color is None:
        lowerCamelCase		:     List[Any]          =				self.edgecolor
       ((lowerCamelCase)      ,   (lowerCamelCase)      ,   (lowerCamelCase)      ,   (lowerCamelCase))		:     Optional[Any]          =				box
       lowerCamelCase		:     Dict          =				xa - xa
       lowerCamelCase		:     Any          =				ya - ya
       self.ax.add_patch(
           mpl.patches.Rectangle(
               (xa, ya)   ,  UpperCamelCase__   ,  UpperCamelCase__   ,  fill=UpperCamelCase__   ,  edgecolor=UpperCamelCase__   ,  linewidth=self.font_size // 3   ,  alpha=self.alpha   ,  linestyle=self.linestyle   ,  )				)
      def 						UpperCamelCase__							(				self   ,  __magic_name__   ,  __magic_name__=None   ,  __magic_name__=None   ,  __magic_name__=None   ,  __magic_name__=None				):






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

       lowerCamelCase		:     List[Any]          =				[self._random_color(maximum=1				) for _ in range(len(UpperCamelCase__				)				)]
       lowerCamelCase		:     int          =				[assigned_colors[idx] for idx in sorted_idxs]
       if obj_ids is not None:
        lowerCamelCase		:     Any          =				self._create_text_labels_attr(UpperCamelCase__   ,  UpperCamelCase__   ,  UpperCamelCase__   ,  UpperCamelCase__				)
        for i in range(len(UpperCamelCase__				)				):
         lowerCamelCase		:     Optional[int]          =				assigned_colors[i]
         self.add_box(boxes[i]   ,  UpperCamelCase__				)
         self.draw_labels(labels[i]   ,  boxes[i]   ,  UpperCamelCase__				)
      def 						UpperCamelCase__							(				self   ,  __magic_name__   ,  __magic_name__   ,  __magic_name__				):
       lowerCamelCase      ,   lowerCamelCase      ,   lowerCamelCase      ,   lowerCamelCase		:     Optional[Any]          =				box
       lowerCamelCase		:     str          =				(xa, ya)
       lowerCamelCase		:     int          =				(ya - ya) * (xa - xa)
       lowerCamelCase		:     int          =				_SMALL_OBJ * self.scale
       if instance_area < small or ya - ya < 4_0 * self.scale:
        if ya >= self.height - 5:
         lowerCamelCase		:     Any          =				(xa, ya)
        else:
         lowerCamelCase		:     Union[str, Any]          =				(xa, ya)

       lowerCamelCase		:     List[Any]          =				(ya - ya) / np.sqrt(self.height * self.width				)
       lowerCamelCase		:     Dict          =				self._change_color_brightness(UpperCamelCase__   ,  brightness_factor=0.7				)
       lowerCamelCase		:     List[str]          =				np.clip((height_ratio - 0.02) / 0.08 + 1   ,  1.2   ,  2				)
       font_size *= 0.75 * self.font_size

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






       if saveas is None:
        lowerCamelCase		:     List[str]          =				self.saveas
       if saveas.lower().endswith(""".jpg"""				) or saveas.lower().endswith(""".png"""				):
        cva.imwrite(
            UpperCamelCase__   ,  self._get_buffer()[:, :, ::-1]   ,  )
       else:
        self.fig.savefig(UpperCamelCase__				)
      def 						UpperCamelCase__							(				self   ,  __magic_name__   ,  __magic_name__   ,  __magic_name__   ,  __magic_name__				):
       lowerCamelCase		:     List[Any]          =				[self.idaobj[i] for i in classes]
       lowerCamelCase		:     int          =				[self.idaattr[i] for i in attr_classes]
       lowerCamelCase		:     Any          =				[
           F'''{label} {score:.2f} {attr} {attr_score:.2f}'''
           for label, score, attr, attr_score in zip(UpperCamelCase__   ,  UpperCamelCase__   ,  UpperCamelCase__   ,  UpperCamelCase__				)
       ]
       return labels
      def 						UpperCamelCase__							(				self   ,  __magic_name__   ,  __magic_name__				):
       lowerCamelCase		:     Dict          =				[self.idaobj[i] for i in classes]
       if scores is not None:
        if labels is None:
         lowerCamelCase		:     int          =				["""{:.0f}%""".format(s * 1_0_0				) for s in scores]
        else:
         lowerCamelCase		:     Tuple          =				["""{} {:.0f}%""".format(UpperCamelCase__   ,  s * 1_0_0				) for li, s in zip(UpperCamelCase__   ,  UpperCamelCase__				)]
       return labels
      def 						UpperCamelCase__							(				self   ,  __magic_name__=2_5_5				):
       lowerCamelCase		:     Dict          =				np.random.randint(0   ,  len(_COLORS				)				)
       lowerCamelCase		:     Optional[Any]          =				_COLORS[idx] * maximum
       if not self.rgb:
        lowerCamelCase		:     List[Any]          =				ret[::-1]
       return ret
      def 						UpperCamelCase__							(				self				):






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

       lowerCamelCase		:     Tuple          =				np.frombuffer(UpperCamelCase__   ,  dtype="""uint8"""				)
       lowerCamelCase		:     Optional[int]          =				buffer.reshape(UpperCamelCase__   ,  UpperCamelCase__   ,  4				)
       lowerCamelCase      ,   lowerCamelCase		:     Optional[Any]          =				np.split(UpperCamelCase__   ,  [3]   ,  axis=2				)

       try:
        import numexpr as ne  # fuse them with numexpr

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

       return visualized_image.astype("""uint8"""				)






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


_lowerCamelCase        =(
    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    _a (						lowerCamelCase,     lowerCamelCase,     lowerCamelCase							):
 lowerCamelCase		:     Optional[int]          =				[1 / first_term]
 lowerCamelCase		:     Any          =				1 / first_term
 for _ in range(number_of_terms - 1							):
  first_term += common_difference
  arithmetic_progression.append(lowerCamelCase							)
 lowerCamelCase		:     Optional[Any]          =				[1 / step for step in arithmetic_progression]
 return sum(lowerCamelCase							)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      print(sum_of_harmonic_progression(1 / 2, 2, 2))




