

'''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


lowerCAmelCase__      				=			1000



class        lowercase    :


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

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

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


							def     _snake_case				(      self     ,      _snake_case     ,      _snake_case=None)				->					Any:
								if color is None:
									UpperCAmelCase_		:   Tuple													=       self.edgecolor
								((UpperCAmelCase_)						,     (UpperCAmelCase_)						,     (UpperCAmelCase_)						,     (UpperCAmelCase_))		:   Optional[int]													=       box
								UpperCAmelCase_		:   str													=       xa - xa
								UpperCAmelCase_		:   Union[str, Any]													=       ya - ya
								self.ax.add_patch(
								    mpl.patches.Rectangle(
								        (xa, ya)     ,      _snake_case     ,      _snake_case     ,      fill=_snake_case     ,      edgecolor=_snake_case     ,      linewidth=self.font_size // 3     ,      alpha=self.alpha     ,      linestyle=self.linestyle     ,      ))


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

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


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

								UpperCAmelCase_		:   Any													=       (ya - ya) / np.sqrt(self.height * self.width)
								UpperCAmelCase_		:   Optional[Any]													=       self._change_color_brightness(_snake_case     ,      brightness_factor=0.7)
								UpperCAmelCase_		:   int													=       np.clip((height_ratio - 0.02) / 0.08 + 1     ,      1.2     ,      2)
								font_size *= 0.75 * self.font_size

								self.draw_text(
								    text=_snake_case     ,      position=_snake_case     ,      color=_snake_case     ,      )


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


							def     _snake_case				(      self     ,      _snake_case=None)				->					List[Any]:
								if saveas is None:
									UpperCAmelCase_		:   Dict													=       self.saveas
								if saveas.lower().endswith('.jpg') or saveas.lower().endswith('.png'):
									cva.imwrite(
									    _snake_case     ,      self._get_buffer()[:, :, ::-1]     ,      )
								else:
									self.fig.savefig(_snake_case)


							def     _snake_case				(      self     ,      _snake_case     ,      _snake_case     ,      _snake_case     ,      _snake_case)				->					List[Any]:
								UpperCAmelCase_		:   Any													=       [self.idaobj[i] for i in classes]
								UpperCAmelCase_		:   List[Any]													=       [self.idaattr[i] for i in attr_classes]
								UpperCAmelCase_		:   List[Any]													=       [
								    F"""{label} {score:.2f} {attr} {attr_score:.2f}"""
								    for label, score, attr, attr_score in zip(_snake_case     ,      _snake_case     ,      _snake_case     ,      _snake_case)
								]
								return labels


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


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


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

								UpperCAmelCase_		:   List[str]													=       np.frombuffer(_snake_case     ,      dtype='uint8')
								UpperCAmelCase_		:   List[str]													=       buffer.reshape(_snake_case     ,      _snake_case     ,      4)
								UpperCAmelCase_						,     UpperCAmelCase_		:   Union[str, Any]													=       np.split(_snake_case     ,      [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_		:   Dict													=       alpha.astype('float32') / 255.0
									UpperCAmelCase_		:   Dict													=       img * (1 - alpha) + rgb * alpha

								return visualized_image.astype('uint8')





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









'''simple docstring'''


from __future__ import annotations







def     SCREAMING_SNAKE_CASE(	UpperCamelCase ,UpperCamelCase ,UpperCamelCase ,UpperCamelCase	)     ->     int:

	# Base Case
	if counter == 0 or capacity == 0:
		return 0

	# If weight of the nth item is more than Knapsack of capacity,
	#   then this item cannot be included in the optimal solution,
	# else return the maximum of two cases:
	#   (1) nth item included
	#   (2) not included
	if weights[counter - 1] > capacity:
		return knapsack(UpperCamelCase ,UpperCamelCase ,UpperCamelCase ,counter - 1	)
	else:
		UpperCAmelCase_		:   int													=       capacity - weights[counter - 1]
		UpperCAmelCase_		:   Optional[int]													=       values[counter - 1] + knapsack(
		    UpperCamelCase ,UpperCamelCase ,UpperCamelCase ,counter - 1	)
		UpperCAmelCase_		:   Any													=       knapsack(UpperCamelCase ,UpperCamelCase ,UpperCamelCase ,counter - 1	)
		return max(UpperCamelCase ,UpperCamelCase	)


if __name__ == "__main__":
						import doctest

						doctest.testmod()






