





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__:  Optional[int]       					=					1000




class    _a  :

      """simple docstring"""


      def __init__(						self:	Any					,  __lowerCamelCase:	List[str]					,  __lowerCamelCase:	Any=1.2					,  __lowerCamelCase:	Any="g"					,  __lowerCamelCase:	Tuple=0.5					,  __lowerCamelCase:	int="-"					,  __lowerCamelCase:	Union[str, Any]="test_out.jpg"					,  __lowerCamelCase:	Dict=True					,  __lowerCamelCase:	Dict=False					,  __lowerCamelCase:	Any=None					,  __lowerCamelCase:	Tuple=None					,  __lowerCamelCase:	Optional[int]=0.7					,  ):
          '''simple docstring'''


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

          UpperCamelCase__							,				UpperCamelCase__:					Tuple												=      img.shape[1], img.shape[0]
          UpperCamelCase__:					Optional[Any]												=      mplfigure.Figure(frameon=__lowerCamelCase			)
          UpperCamelCase__:					Optional[Any]												=      fig.get_dpi()
          UpperCamelCase__:					List[str]												=      (width * scale + 1e-2) / dpi
          UpperCamelCase__:					Any												=      (height * scale + 1e-2) / dpi
          fig.set_size_inches(__lowerCamelCase					,  __lowerCamelCase			)
          UpperCamelCase__:					Tuple												=      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__:					List[str]												=      saveas
          UpperCamelCase__:					int												=      rgb
          UpperCamelCase__:					List[Any]												=      pynb
          UpperCamelCase__:					Dict												=      img
          UpperCamelCase__:					List[Any]												=      edgecolor
          UpperCamelCase__:					Tuple												=      0.5
          UpperCamelCase__:					int												=      linestyle
          UpperCamelCase__:					List[Any]												=      int(np.sqrt(min(__lowerCamelCase					,  __lowerCamelCase			)			) * scale // 3			)
          UpperCamelCase__:					Any												=      width
          UpperCamelCase__:					str												=      height
          UpperCamelCase__:					Optional[Any]												=      scale
          UpperCamelCase__:					Optional[Any]												=      fig
          UpperCamelCase__:					List[Any]												=      ax
          UpperCamelCase__:					Tuple												=      pad
          UpperCamelCase__:					int												=      idaobj
          UpperCamelCase__:					List[Any]												=      idaattr
          UpperCamelCase__:					Dict												=      FigureCanvasAgg(__lowerCamelCase			)






      def 	UpperCAmelCase_   (						self:	Any					,  __lowerCamelCase:	Tuple					,  __lowerCamelCase:	int=None			):
          '''simple docstring'''


          if color is None:
              UpperCamelCase__:					List[str]												=      self.edgecolor
          ((UpperCamelCase__)							,				(UpperCamelCase__)							,				(UpperCamelCase__)							,				(UpperCamelCase__)):					List[str]												=      box
          UpperCamelCase__:					int												=      xa - xa
          UpperCamelCase__:					List[str]												=      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:	str					,  __lowerCamelCase:	str					,  __lowerCamelCase:	str=None					,  __lowerCamelCase:	Union[str, Any]=None					,  __lowerCamelCase:	Optional[Any]=None					,  __lowerCamelCase:	int=None			):
          '''simple docstring'''


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

          UpperCamelCase__:					Union[str, Any]												=      [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__:					Union[str, Any]												=      self._create_text_labels_attr(__lowerCamelCase					,  __lowerCamelCase					,  __lowerCamelCase					,  __lowerCamelCase			)
              for i in range(len(__lowerCamelCase			)			):
                  UpperCamelCase__:					List[str]												=      assigned_colors[i]
                  self.add_box(boxes[i]					,  __lowerCamelCase			)
                  self.draw_labels(labels[i]					,  boxes[i]					,  __lowerCamelCase			)






      def 	UpperCAmelCase_   (						self:	Optional[int]					,  __lowerCamelCase:	List[str]					,  __lowerCamelCase:	List[str]					,  __lowerCamelCase:	str			):
          '''simple docstring'''


          UpperCamelCase__							,				UpperCamelCase__							,				UpperCamelCase__							,				UpperCamelCase__:					List[str]												=      box
          UpperCamelCase__:					Dict												=      (xa, ya)
          UpperCamelCase__:					List[Any]												=      (ya - ya) * (xa - xa)
          UpperCamelCase__:					List[Any]												=      _SMALL_OBJ * self.scale
          if instance_area < small or ya - ya < 40 * self.scale:
              if ya >= self.height - 5:
                  UpperCamelCase__:					List[str]												=      (xa, ya)
              else:
                  UpperCamelCase__:					Any												=      (xa, ya)

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






      def 	UpperCAmelCase_   (						self:	Union[str, Any]					,  __lowerCamelCase:	List[Any]					,  __lowerCamelCase:	str					,  __lowerCamelCase:	Optional[Any]="g"					,  __lowerCamelCase:	Optional[Any]="left"					,  ):
          '''simple docstring'''


          UpperCamelCase__:					Union[str, Any]												=      0
          UpperCamelCase__:					Union[str, Any]												=      self.font_size
          UpperCamelCase__:					int												=      np.maximum(list(mplc.to_rgb(__lowerCamelCase			)			)					,  0.2			)
          UpperCamelCase__:					List[str]												=      max(0.8					,  np.max(__lowerCamelCase			)			)
          UpperCamelCase__:					Tuple												=      {
              "facecolor": "black",
              "alpha": self.alpha,
              "pad": self.pad,
              "edgecolor": "none",
          }
          UpperCamelCase__							,				UpperCamelCase__:					Tuple												=      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:	Optional[int]					,  __lowerCamelCase:	Dict=None			):
          '''simple docstring'''


          if saveas is None:
              UpperCamelCase__:					Optional[int]												=      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:	Any					,  __lowerCamelCase:	int					,  __lowerCamelCase:	Optional[int]					,  __lowerCamelCase:	int					,  __lowerCamelCase:	Optional[int]			):
          '''simple docstring'''


          UpperCamelCase__:					Any												=      [self.idaobj[i] for i in classes]
          UpperCamelCase__:					List[str]												=      [self.idaattr[i] for i in attr_classes]
          UpperCamelCase__:					Optional[int]												=      [
              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:	int					,  __lowerCamelCase:	int					,  __lowerCamelCase:	Any			):
          '''simple docstring'''


          UpperCamelCase__:					Any												=      [self.idaobj[i] for i in classes]
          if scores is not None:
              if labels is None:
                  UpperCamelCase__:					Dict												=      ["{:.0f}%".format(s * 100			) for s in scores]
              else:
                  UpperCamelCase__:					str												=      ["{} {:.0f}%".format(__lowerCamelCase					,  s * 100			) for li, s in zip(__lowerCamelCase					,  __lowerCamelCase			)]
          return labels






      def 	UpperCAmelCase_   (						self:	Any					,  __lowerCamelCase:	Optional[Any]=255			):
          '''simple docstring'''


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






      def 	UpperCAmelCase_   (						self:	List[Any]			):
          '''simple docstring'''


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

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

          try:
              import numexpr as ne  # fuse them with numexpr

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

          return visualized_image.astype("uint8"			)






      def 	UpperCAmelCase_   (						self:	Optional[Any]					,  __lowerCamelCase:	Any					,  __lowerCamelCase:	str			):
          '''simple docstring'''


          assert brightness_factor >= -1.0 and brightness_factor <= 1.0
          UpperCamelCase__:					Tuple												=      mplc.to_rgb(__lowerCamelCase			)
          UpperCamelCase__:					Optional[Any]												=      colorsys.rgb_to_hls(*mplc.to_rgb(__lowerCamelCase			)			)
          UpperCamelCase__:					Optional[int]												=      polygon_color[1] + (brightness_factor * polygon_color[1])
          UpperCamelCase__:					int												=      0.0 if modified_lightness < 0.0 else modified_lightness
          UpperCamelCase__:					int												=      1.0 if modified_lightness > 1.0 else modified_lightness
          UpperCamelCase__:					int												=      colorsys.hls_to_rgb(polygon_color[0]					,  __lowerCamelCase					,  polygon_color[2]			)
          return modified_color
A__:  str       					=					(
    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 							lowerCAmelCase_				(    A_  ,A_  ,A_):
    UpperCamelCase__:					Optional[int]												=      [1 / first_term]
    UpperCamelCase__:					int												=      1 / first_term
    for _ in range(number_of_terms - 1):
        first_term += common_difference
        arithmetic_progression.append(A_)
    UpperCamelCase__:					str												=      [1 / step for step in arithmetic_progression]
    return sum(A_)


if __name__ == "__main__":
   import doctest

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

