



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_		:  str										=  10_00



class 		_lowercase		:

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


    """simple docstring"""






    if isinstance(__lowerCAmelCase				, torch.Tensor				):
     a							=		img.numpy().astype("np.uint8"				)
    if isinstance(__lowerCAmelCase				, __lowerCAmelCase				):
     a							=		img_tensorize(__lowerCAmelCase				)
    assert isinstance(__lowerCAmelCase				, np.ndarray				)

    a		,	a							=		img.shape[1], img.shape[0]
    a							=		mplfigure.Figure(frameon=__lowerCAmelCase				)
    a							=		fig.get_dpi()
    a							=		(width * scale + 1E-2) / dpi
    a							=		(height * scale + 1E-2) / dpi
    fig.set_size_inches(__lowerCAmelCase				, __lowerCAmelCase				)
    a							=		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							=		saveas
    a							=		rgb
    a							=		pynb
    a							=		img
    a							=		edgecolor
    a							=		0.5
    a							=		linestyle
    a							=		int(np.sqrt(min(__lowerCAmelCase				, __lowerCAmelCase				)				) * scale // 3				)
    a							=		width
    a							=		height
    a							=		scale
    a							=		fig
    a							=		ax
    a							=		pad
    a							=		idaobj
    a							=		idaattr
    a							=		FigureCanvasAgg(__lowerCAmelCase				)

   def 		A				(   self      :							str				, __lowerCAmelCase      :							List[str]				, __lowerCAmelCase      :							List[str]=None				)							->					Tuple:


    """simple docstring"""






    if color is None:
     a							=		self.edgecolor
    ((a)		,	(a)		,	(a)		,	(a))							=		box
    a							=		xa - xa
    a							=		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      :							List[Any]				, __lowerCAmelCase      :							Tuple				, __lowerCAmelCase      :							str=None				, __lowerCAmelCase      :							List[Any]=None				, __lowerCAmelCase      :							Any=None				, __lowerCAmelCase      :							List[Any]=None				)							->					Dict:


    """simple docstring"""






    if len(boxes.shape				) > 2:
     a							=		boxes[0]
    if len(obj_ids.shape				) > 1:
     a							=		obj_ids[0]
    if len(obj_scores.shape				) > 1:
     a							=		obj_scores[0]
    if len(attr_ids.shape				) > 1:
     a							=		attr_ids[0]
    if len(attr_scores.shape				) > 1:
     a							=		attr_scores[0]
    if isinstance(__lowerCAmelCase				, torch.Tensor				):
     a							=		boxes.numpy()
    if isinstance(__lowerCAmelCase				, __lowerCAmelCase				):
     a							=		np.array(__lowerCAmelCase				)
    assert isinstance(__lowerCAmelCase				, np.ndarray				)
    a							=		np.prod(boxes[:, 2:] - boxes[:, :2]				, axis=1				)
    a							=		np.argsort(-areas				).tolist()
    a							=		boxes[sorted_idxs] if boxes is not None else None
    a							=		obj_ids[sorted_idxs] if obj_ids is not None else None
    a							=		obj_scores[sorted_idxs] if obj_scores is not None else None
    a							=		attr_ids[sorted_idxs] if attr_ids is not None else None
    a							=		attr_scores[sorted_idxs] if attr_scores is not None else None

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

   def 		A				(   self      :							List[str]				, __lowerCAmelCase      :							Tuple				, __lowerCAmelCase      :							List[Any]				, __lowerCAmelCase      :							Optional[int]				)							->					Optional[int]:


    """simple docstring"""






    a		,	a		,	a		,	a							=		box
    a							=		(xa, ya)
    a							=		(ya - ya) * (xa - xa)
    a							=		_SMALL_OBJ * self.scale
    if instance_area < small or ya - ya < 40 * self.scale:
     if ya >= self.height - 5:
      a							=		(xa, ya)
     else:
      a							=		(xa, ya)

    a							=		(ya - ya) / np.sqrt(self.height * self.width				)
    a							=		self._change_color_brightness(__lowerCAmelCase				, brightness_factor=0.7				)
    a							=		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 		A				(   self      :							Any				, __lowerCAmelCase      :							Union[str, Any]				, __lowerCAmelCase      :							Any				, __lowerCAmelCase      :							Union[str, Any]="g"				, __lowerCAmelCase      :							List[Any]="left"				, )							->					Any:


    """simple docstring"""






    a							=		0
    a							=		self.font_size
    a							=		np.maximum(list(mplc.to_rgb(__lowerCAmelCase				)				)				, 0.2				)
    a							=		max(0.8				, np.max(__lowerCAmelCase				)				)
    a							=		{
        "facecolor": "black",
        "alpha": self.alpha,
        "pad": self.pad,
        "edgecolor": "none",
    }
    a		,	a							=		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      :							List[Any]				, __lowerCAmelCase      :							int=None				)							->					Any:


    """simple docstring"""






    if saveas is None:
     a							=		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      :							Optional[int]				, __lowerCAmelCase      :							int				, __lowerCAmelCase      :							str				, __lowerCAmelCase      :							Optional[int]				, __lowerCAmelCase      :							Dict				)							->					str:


    """simple docstring"""






    a							=		[self.idaobj[i] for i in classes]
    a							=		[self.idaattr[i] for i in attr_classes]
    a							=		[
        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      :							List[Any]				, __lowerCAmelCase      :							Optional[int]				, __lowerCAmelCase      :							List[Any]				)							->					Optional[Any]:


    """simple docstring"""






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

   def 		A				(   self      :							List[str]				, __lowerCAmelCase      :							str=255				)							->					List[Any]:


    """simple docstring"""






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

   def 		A				(   self      :							Any				)							->					Any:


    """simple docstring"""






    if not self.pynb:
     a		,	a							=		self.canvas.print_to_buffer()
     if (width, height) != (self.width, self.height):
      a							=		cva.resize(self.img				, (width, height)				)
     else:
      a							=		self.img
    else:
     a							=		io.BytesIO()  # works for cairo backend
     self.canvas.print_rgba(__lowerCAmelCase				)
     a		,	a							=		self.width, self.height
     a							=		buf.getvalue()
     a							=		self.img

    a							=		np.frombuffer(__lowerCAmelCase				, dtype="uint8"				)
    a							=		buffer.reshape(__lowerCAmelCase				, __lowerCAmelCase				, 4				)
    a		,	a							=		np.split(__lowerCAmelCase				, [3]				, axis=2				)

    try:
     import numexpr as ne  # fuse them with numexpr

     a							=		ne.evaluate("img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"				)
    except ImportError:
     a							=		alpha.astype("float32"				) / 2_5_5.0
     a							=		img * (1 - alpha) + rgb * alpha

    return visualized_image.astype("uint8"				)




   def 		A				(   self      :							str				, __lowerCAmelCase      :							List[str]				, __lowerCAmelCase      :							Optional[int]				)							->					Dict:


    """simple docstring"""






    assert brightness_factor >= -1.0 and brightness_factor <= 1.0
    a							=		mplc.to_rgb(__lowerCAmelCase				)
    a							=		colorsys.rgb_to_hls(*mplc.to_rgb(__lowerCAmelCase				)				)
    a							=		polygon_color[1] + (brightness_factor * polygon_color[1])
    a							=		0.0 if modified_lightness < 0.0 else modified_lightness
    a							=		1.0 if modified_lightness > 1.0 else modified_lightness
    a							=		colorsys.hls_to_rgb(polygon_color[0]				, __lowerCAmelCase				, polygon_color[2]				)
    return modified_color

A_		:  int										=  (
    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 						UpperCAmelCase__   (   UpperCAmelCase__			:float | int			,       UpperCAmelCase__			:float | int			,       UpperCAmelCase__			:float | int			,       ):






 '''simple docstring'''

 if not all((nth_term, start_term_a, common_ratio_r)       ):
  return []
 a							=		[]
 a							=		1
 a							=		common_ratio_r
 for _ in range(int(UpperCAmelCase__       )       ):
  if not series:
   series.append(UpperCAmelCase__       )
  else:
   power += 1
   series.append(float(start_term_a * multiple       )       )
   a							=		pow(float(UpperCAmelCase__       )			,       UpperCAmelCase__       )
 return series


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     A_		:  Optional[Any]										=  float(input('''Enter the last number (n term) of the Geometric Series'''))
     A_		:  Optional[Any]										=  float(input('''Enter the starting term (a) of the Geometric Series'''))
     A_		:  Optional[int]										=  float(
         input('''Enter the common ratio between two terms (r) of the Geometric Series''')
     )
     print('''Formula of Geometric Series => a + ar + ar^2 ... +ar^n''')
     print(geometric_series(nth_term, start_term_a, common_ratio_r))

