




'''simple docstring'''





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]       =      1_0_0_0




class      UpperCamelCase       :



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







      '''simple docstring'''


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

      _a       , _a				:							Union[str, Any]							       =      img.shape[1], img.shape[0]
      _a				:							Dict							       =      mplfigure.Figure(frameon=lowerCamelCase__ )
      _a				:							List[Any]							       =      fig.get_dpi()
      _a				:							Any							       =      (width * scale + 1e-2) / dpi
      _a				:							List[str]							       =      (height * scale + 1e-2) / dpi
      fig.set_size_inches(lowerCamelCase__		,     lowerCamelCase__ )
      _a				:							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__ )

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



  def     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase=None ):







      '''simple docstring'''


      if color is None:
          _a				:							Tuple							       =      self.edgecolor
      ((_a)       , (_a)       , (_a)       , (_a))				:							List[Any]							       =      box
      _a				:							Union[str, Any]							       =      xa - xa
      _a				:							List[Any]							       =      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     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase=None		,     __lowerCAmelCase=None		,     __lowerCAmelCase=None		,     __lowerCAmelCase=None ):







      '''simple docstring'''


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

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



  def     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase		,     __lowerCAmelCase ):







      '''simple docstring'''


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

      _a				:							Any							       =      (ya - ya) / np.sqrt(self.height * self.width )
      _a				:							Tuple							       =      self._change_color_brightness(lowerCamelCase__		,     brightness_factor=0.7 )
      _a				:							Any							       =      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     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase		,     __lowerCAmelCase="g"		,     __lowerCAmelCase="left"		,     ):







      '''simple docstring'''


      _a				:							Tuple							       =      0
      _a				:							Optional[Any]							       =      self.font_size
      _a				:							Optional[Any]							       =      np.maximum(list(mplc.to_rgb(lowerCamelCase__ ) )		,     0.2 )
      _a				:							Dict							       =      max(0.8		,     np.max(lowerCamelCase__ ) )
      _a				:							Union[str, Any]							       =      {
          """facecolor""": """black""",
          """alpha""": self.alpha,
          """pad""": self.pad,
          """edgecolor""": """none""",
      }
      _a       , _a				:							Dict							       =      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     a_							(			self		,     __lowerCAmelCase=None ):







      '''simple docstring'''


      if saveas is None:
          _a				:							Optional[Any]							       =      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     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase		,     __lowerCAmelCase		,     __lowerCAmelCase ):







      '''simple docstring'''


      _a				:							str							       =      [self.idaobj[i] for i in classes]
      _a				:							int							       =      [self.idaattr[i] for i in attr_classes]
      _a				:							str							       =      [
          f'''{label} {score:.2f} {attr} {attr_score:.2f}'''
          for label, score, attr, attr_score in zip(lowerCamelCase__		,     lowerCamelCase__		,     lowerCamelCase__		,     lowerCamelCase__ )
      ]
      return labels



  def     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase ):







      '''simple docstring'''


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



  def     a_							(			self		,     __lowerCAmelCase=255 ):







      '''simple docstring'''


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



  def     a_							(			self ):







      '''simple docstring'''


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

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

      try:
          import numexpr as ne  # fuse them with numexpr

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

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



  def     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase ):







      '''simple docstring'''


      assert brightness_factor >= -1.0 and brightness_factor <= 1.0
      _a				:							List[str]							       =      mplc.to_rgb(lowerCamelCase__ )
      _a				:							List[Any]							       =      colorsys.rgb_to_hls(*mplc.to_rgb(lowerCamelCase__ ) )
      _a				:							Optional[int]							       =      polygon_color[1] + (brightness_factor * polygon_color[1])
      _a				:							Optional[int]							       =      0.0 if modified_lightness < 0.0 else modified_lightness
      _a				:							int							       =      1.0 if modified_lightness > 1.0 else modified_lightness
      _a				:							Union[str, Any]							       =      colorsys.hls_to_rgb(polygon_color[0]		,     lowerCamelCase__		,     polygon_color[2] )
      return modified_color






a		:	Any       =      (
    np.array(
        [
            0.0_00,
            0.4_47,
            0.7_41,
            0.8_50,
            0.3_25,
            0.0_98,
            0.9_29,
            0.6_94,
            0.1_25,
            0.4_94,
            0.1_84,
            0.5_56,
            0.4_66,
            0.6_74,
            0.1_88,
            0.3_01,
            0.7_45,
            0.9_33,
            0.6_35,
            0.0_78,
            0.1_84,
            0.3_00,
            0.3_00,
            0.3_00,
            0.6_00,
            0.6_00,
            0.6_00,
            1.0_00,
            0.0_00,
            0.0_00,
            1.0_00,
            0.5_00,
            0.0_00,
            0.7_49,
            0.7_49,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            1.0_00,
            0.6_67,
            0.0_00,
            1.0_00,
            0.3_33,
            0.3_33,
            0.0_00,
            0.3_33,
            0.6_67,
            0.0_00,
            0.3_33,
            1.0_00,
            0.0_00,
            0.6_67,
            0.3_33,
            0.0_00,
            0.6_67,
            0.6_67,
            0.0_00,
            0.6_67,
            1.0_00,
            0.0_00,
            1.0_00,
            0.3_33,
            0.0_00,
            1.0_00,
            0.6_67,
            0.0_00,
            1.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.3_33,
            0.5_00,
            0.0_00,
            0.6_67,
            0.5_00,
            0.0_00,
            1.0_00,
            0.5_00,
            0.3_33,
            0.0_00,
            0.5_00,
            0.3_33,
            0.3_33,
            0.5_00,
            0.3_33,
            0.6_67,
            0.5_00,
            0.3_33,
            1.0_00,
            0.5_00,
            0.6_67,
            0.0_00,
            0.5_00,
            0.6_67,
            0.3_33,
            0.5_00,
            0.6_67,
            0.6_67,
            0.5_00,
            0.6_67,
            1.0_00,
            0.5_00,
            1.0_00,
            0.0_00,
            0.5_00,
            1.0_00,
            0.3_33,
            0.5_00,
            1.0_00,
            0.6_67,
            0.5_00,
            1.0_00,
            1.0_00,
            0.5_00,
            0.0_00,
            0.3_33,
            1.0_00,
            0.0_00,
            0.6_67,
            1.0_00,
            0.0_00,
            1.0_00,
            1.0_00,
            0.3_33,
            0.0_00,
            1.0_00,
            0.3_33,
            0.3_33,
            1.0_00,
            0.3_33,
            0.6_67,
            1.0_00,
            0.3_33,
            1.0_00,
            1.0_00,
            0.6_67,
            0.0_00,
            1.0_00,
            0.6_67,
            0.3_33,
            1.0_00,
            0.6_67,
            0.6_67,
            1.0_00,
            0.6_67,
            1.0_00,
            1.0_00,
            1.0_00,
            0.0_00,
            1.0_00,
            1.0_00,
            0.3_33,
            1.0_00,
            1.0_00,
            0.6_67,
            1.0_00,
            0.3_33,
            0.0_00,
            0.0_00,
            0.5_00,
            0.0_00,
            0.0_00,
            0.6_67,
            0.0_00,
            0.0_00,
            0.8_33,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            0.1_67,
            0.0_00,
            0.0_00,
            0.3_33,
            0.0_00,
            0.0_00,
            0.5_00,
            0.0_00,
            0.0_00,
            0.6_67,
            0.0_00,
            0.0_00,
            0.8_33,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            0.1_67,
            0.0_00,
            0.0_00,
            0.3_33,
            0.0_00,
            0.0_00,
            0.5_00,
            0.0_00,
            0.0_00,
            0.6_67,
            0.0_00,
            0.0_00,
            0.8_33,
            0.0_00,
            0.0_00,
            1.0_00,
            0.0_00,
            0.0_00,
            0.0_00,
            0.1_43,
            0.1_43,
            0.1_43,
            0.8_57,
            0.8_57,
            0.8_57,
            1.0_00,
            1.0_00,
            1.0_00,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)








'''simple docstring'''
def 							snake_case_    (  a__						:      List[str]       ,a__						:      Optional[int]     ):



    """simple docstring"""




    __lowercase     							=		(boundary[1] - boundary[0]) / steps
    __lowercase     							=		boundary[0]
    __lowercase     							=		boundary[1]
    __lowercase     							=		make_points(a__       ,a__       ,a__     )
    __lowercase     							=		0.0
    y += (h / 3.0) * f(a__     )
    __lowercase     							=		2
    for i in x_i:
        y += (h / 3) * (4 - 2 * (cnt % 2)) * f(a__     )
        cnt += 1
    y += (h / 3.0) * f(a__     )
    return y
def 							snake_case_    (  a__						:      Optional[Any]       ,a__						:      List[str]       ,a__						:      Optional[Any]     ):



    """simple docstring"""




    __lowercase     							=		a + h
    while x < (b - h):
        yield x
        __lowercase     							=		x + h
def 							snake_case_    (  a__						:      List[Any]     ):  # enter your function here



    """simple docstring"""




    __lowercase     							=		(x - 0) * (x - 0)
    return y
def 							snake_case_    (  ):



    """simple docstring"""




    __lowercase     							=		0.0  # Lower bound of integration
    __lowercase     							=		1.0  # Upper bound of integration
    __lowercase     							=		1_0.0  # define number of steps or resolution
    __lowercase     							=		[a, b]  # define boundary of integration
    __lowercase     							=		method_a(a__       ,a__     )
    print(f'y = {y}'     )


if __name__ == "__main__":
  main()




