





'''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


snake_case_       :    List[Any]          =					10_00


class    __a :

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







													"""simple docstring"""
													if isinstance(__magic_name__    ,       torch.Tensor				):
																			UpperCAmelCase_     : Tuple         =					img.numpy().astype('''np.uint8'''				)
													if isinstance(__magic_name__    ,       __magic_name__				):
																			UpperCAmelCase_     : Dict         =					img_tensorize(__magic_name__				)
													assert isinstance(__magic_name__    ,       np.ndarray				)

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

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

							def       UpperCAmelCase__		(							self							:       str    ,       __magic_name__							:       int    ,       __magic_name__							:       Any=None				)   ->    Optional[int]:







													"""simple docstring"""
													if color is None:
																			UpperCAmelCase_     : Any         =					self.edgecolor
													(UpperCAmelCase_)     : List[str]         =					box
													UpperCAmelCase_     : Optional[int]         =					xa - xa
													UpperCAmelCase_     : str         =					ya - ya
													self.ax.add_patch(
													    mpl.patches.Rectangle(
													        (xa, ya)    ,       __magic_name__    ,       __magic_name__    ,       fill=__magic_name__    ,       edgecolor=__magic_name__    ,       linewidth=self.font_size // 3    ,       alpha=self.alpha    ,       linestyle=self.linestyle    ,       )				)

							def       UpperCAmelCase__		(							self							:       Optional[int]    ,       __magic_name__							:       List[str]    ,       __magic_name__							:       Union[str, Any]=None    ,       __magic_name__							:       str=None    ,       __magic_name__							:       Any=None    ,       __magic_name__							:       Tuple=None				)   ->    int:







													"""simple docstring"""
													if len(boxes.shape				) > 2:
																			UpperCAmelCase_     : List[str]         =					boxes[0]
													if len(obj_ids.shape				) > 1:
																			UpperCAmelCase_     : Any         =					obj_ids[0]
													if len(obj_scores.shape				) > 1:
																			UpperCAmelCase_     : Optional[int]         =					obj_scores[0]
													if len(attr_ids.shape				) > 1:
																			UpperCAmelCase_     : Any         =					attr_ids[0]
													if len(attr_scores.shape				) > 1:
																			UpperCAmelCase_     : List[Any]         =					attr_scores[0]
													if isinstance(__magic_name__    ,       torch.Tensor				):
																			UpperCAmelCase_     : int         =					boxes.numpy()
													if isinstance(__magic_name__    ,       __magic_name__				):
																			UpperCAmelCase_     : Union[str, Any]         =					np.array(__magic_name__				)
													assert isinstance(__magic_name__    ,       np.ndarray				)
													UpperCAmelCase_     : Union[str, Any]         =					np.prod(boxes[:, 2:] - boxes[:, :2]    ,       axis=1				)
													UpperCAmelCase_     : List[Any]         =					np.argsort(-areas				).tolist()
													UpperCAmelCase_     : str         =					boxes[sorted_idxs] if boxes is not None else None
													UpperCAmelCase_     : Any         =					obj_ids[sorted_idxs] if obj_ids is not None else None
													UpperCAmelCase_     : int         =					obj_scores[sorted_idxs] if obj_scores is not None else None
													UpperCAmelCase_     : List[Any]         =					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_     : Dict         =					[self._random_color(maximum=1				) for _ in range(len(__magic_name__				)				)]
													UpperCAmelCase_     : Optional[Any]         =					[assigned_colors[idx] for idx in sorted_idxs]
													if obj_ids is not None:
																			UpperCAmelCase_     : int         =					self._create_text_labels_attr(__magic_name__    ,       __magic_name__    ,       __magic_name__    ,       __magic_name__				)
																			for i in range(len(__magic_name__				)				):
																									UpperCAmelCase_     : str         =					assigned_colors[i]
																									self.add_box(boxes[i]    ,       __magic_name__				)
																									self.draw_labels(labels[i]    ,       boxes[i]    ,       __magic_name__				)

							def       UpperCAmelCase__		(							self							:       Any    ,       __magic_name__							:       Any    ,       __magic_name__							:       Dict    ,       __magic_name__							:       Dict				)   ->    Optional[int]:







													"""simple docstring"""
													UpperCAmelCase_     : Optional[int]         =					box
													UpperCAmelCase_     : Optional[int]         =					(xa, ya)
													UpperCAmelCase_     : str         =					(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_     : Any         =					(xa, ya)
																			else:
																									UpperCAmelCase_     : Dict         =					(xa, ya)

													UpperCAmelCase_     : List[str]         =					(ya - ya) / np.sqrt(self.height * self.width				)
													UpperCAmelCase_     : List[str]         =					self._change_color_brightness(__magic_name__    ,       brightness_factor=0.7				)
													UpperCAmelCase_     : Optional[Any]         =					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=__magic_name__    ,       position=__magic_name__    ,       color=__magic_name__    ,       )

							def       UpperCAmelCase__		(							self							:       List[str]    ,       __magic_name__							:       Optional[Any]    ,       __magic_name__							:       str    ,       __magic_name__							:       Union[str, Any]="g"    ,       __magic_name__							:       List[str]="left"    ,       )   ->    int:







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

							def       UpperCAmelCase__		(							self							:       Optional[int]    ,       __magic_name__							:       Union[str, Any]=None				)   ->    List[Any]:







													"""simple docstring"""
													if saveas is None:
																			UpperCAmelCase_     : Union[str, Any]         =					self.saveas
													if saveas.lower().endswith('''.jpg'''				) or saveas.lower().endswith('''.png'''				):
																			cva.imwrite(
																			    __magic_name__    ,       self._get_buffer()[:, :, ::-1]    ,       )
													else:
																			self.fig.savefig(__magic_name__				)

							def       UpperCAmelCase__		(							self							:       str    ,       __magic_name__							:       Dict    ,       __magic_name__							:       List[Any]    ,       __magic_name__							:       List[str]    ,       __magic_name__							:       List[str]				)   ->    str:







													"""simple docstring"""
													UpperCAmelCase_     : Optional[int]         =					[self.idaobj[i] for i in classes]
													UpperCAmelCase_     : int         =					[self.idaattr[i] for i in attr_classes]
													UpperCAmelCase_     : str         =					[
													    F"""{label} {score:.2f} {attr} {attr_score:.2f}"""
													    for label, score, attr, attr_score in zip(__magic_name__    ,       __magic_name__    ,       __magic_name__    ,       __magic_name__				)
													]
													return labels

							def       UpperCAmelCase__		(							self							:       Optional[Any]    ,       __magic_name__							:       Tuple    ,       __magic_name__							:       Optional[int]				)   ->    Optional[Any]:







													"""simple docstring"""
													UpperCAmelCase_     : Union[str, Any]         =					[self.idaobj[i] for i in classes]
													if scores is not None:
																			if labels is None:
																									UpperCAmelCase_     : str         =					['''{:.0f}%'''.format(s * 1_00				) for s in scores]
																			else:
																									UpperCAmelCase_     : Any         =					['''{} {:.0f}%'''.format(__magic_name__    ,       s * 1_00				) for li, s in zip(__magic_name__    ,       __magic_name__				)]
													return labels

							def       UpperCAmelCase__		(							self							:       List[str]    ,       __magic_name__							:       Tuple=2_55				)   ->    Any:







													"""simple docstring"""
													UpperCAmelCase_     : Tuple         =					np.random.randint(0    ,       len(_COLORS				)				)
													UpperCAmelCase_     : Optional[Any]         =					_COLORS[idx] * maximum
													if not self.rgb:
																			UpperCAmelCase_     : Optional[Any]         =					ret[::-1]
													return ret

							def       UpperCAmelCase__		(							self							:       Dict				)   ->    Tuple:







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

													UpperCAmelCase_     : Any         =					np.frombuffer(__magic_name__    ,       dtype='''uint8'''				)
													UpperCAmelCase_     : Union[str, Any]         =					buffer.reshape(__magic_name__    ,       __magic_name__    ,       4				)
													UpperCAmelCase_     : Optional[Any]         =					np.split(__magic_name__    ,       [3]    ,       axis=2				)

													try:
																			import numexpr as ne  # fuse them with numexpr

																			UpperCAmelCase_     : List[str]         =					ne.evaluate('''img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)'''				)
													except ImportError:
																			UpperCAmelCase_     : Optional[int]         =					alpha.astype('''float32'''				) / 2_55.0
																			UpperCAmelCase_     : List[str]         =					img * (1 - alpha) + rgb * alpha

													return visualized_image.astype('''uint8'''				)



							def       UpperCAmelCase__		(							self							:       Union[str, Any]    ,       __magic_name__							:       Optional[Any]    ,       __magic_name__							:       Dict				)   ->    List[str]:







													"""simple docstring"""
													assert brightness_factor >= -1.0 and brightness_factor <= 1.0
													UpperCAmelCase_     : Optional[Any]         =					mplc.to_rgb(__magic_name__				)
													UpperCAmelCase_     : str         =					colorsys.rgb_to_hls(*mplc.to_rgb(__magic_name__				)				)
													UpperCAmelCase_     : Dict         =					polygon_color[1] + (brightness_factor * polygon_color[1])
													UpperCAmelCase_     : List[Any]         =					0.0 if modified_lightness < 0.0 else modified_lightness
													UpperCAmelCase_     : Optional[Any]         =					1.0 if modified_lightness > 1.0 else modified_lightness
													UpperCAmelCase_     : List[str]         =					colorsys.hls_to_rgb(polygon_color[0]    ,       __magic_name__    ,       polygon_color[2]				)
													return modified_color





snake_case_       :    Any          =					(
    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'''







import numpy as np
from numpy import floataa
from numpy.typing import NDArray





def     lowerCamelCase_ (					SCREAMING_SNAKE_CASE__ :     NDArray[floataa],     SCREAMING_SNAKE_CASE__ :     NDArray[floataa]				)	->		NDArray[floataa]:
						UpperCAmelCase_  ,    UpperCAmelCase_     : Any         =					np.shape(SCREAMING_SNAKE_CASE__				)

						UpperCAmelCase_     : NDArray[floataa]         =					np.zeros((rows, 1),     dtype=SCREAMING_SNAKE_CASE__				)
						for row in reversed(range(SCREAMING_SNAKE_CASE__				)				):
												UpperCAmelCase_     : Union[str, Any]         =					0
												for col in range(row + 1,     SCREAMING_SNAKE_CASE__				):
																		total += coefficients[row, col] * x[col]

												UpperCAmelCase_     : str         =					(vector[row] - total) / coefficients[row, row]

						return x





def     lowerCamelCase_ (					SCREAMING_SNAKE_CASE__ :     NDArray[floataa],     SCREAMING_SNAKE_CASE__ :     NDArray[floataa]				)	->		NDArray[floataa]:
						UpperCAmelCase_  ,    UpperCAmelCase_     : List[Any]         =					np.shape(SCREAMING_SNAKE_CASE__				)
						if rows != columns:
												return np.array((),     dtype=SCREAMING_SNAKE_CASE__				)

						# augmented matrix
						UpperCAmelCase_     : NDArray[floataa]         =					np.concatenate((coefficients, vector),     axis=1				)
						UpperCAmelCase_     : Optional[Any]         =					augmented_mat.astype('''float64'''				)

						# scale the matrix leaving it triangular
						for row in range(rows - 1				):
												UpperCAmelCase_     : Optional[int]         =					augmented_mat[row, row]
												for col in range(row + 1,     SCREAMING_SNAKE_CASE__				):
																		UpperCAmelCase_     : Optional[Any]         =					augmented_mat[col, row] / pivot
																		augmented_mat[col, :] -= factor * augmented_mat[row, :]

						UpperCAmelCase_     : Optional[Any]         =					retroactive_resolution(
						    augmented_mat[:, 0:columns],     augmented_mat[:, columns : columns + 1]				)

						return x


if __name__ == "__main__":
					import doctest

					doctest.testmod()





