
"""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							:  Union[str, Any] 				=		1000
class SCREAMING_SNAKE_CASE       :






	'''simple docstring'''







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

			'''simple docstring'''






			if isinstance(__magic_name__       ,    torch.Tensor			):
					a__   		=     img.numpy().astype('''np.uint8'''			)
			if isinstance(__magic_name__       ,    __magic_name__			):
					a__   		=     img_tensorize(__magic_name__			)
			assert isinstance(__magic_name__       ,    np.ndarray			)

			a__		,	a__   		=     img.shape[1], img.shape[0]
			a__   		=     mplfigure.Figure(frameon=__magic_name__			)
			a__   		=     fig.get_dpi()
			a__   		=     (width * scale + 1e-2) / dpi
			a__   		=     (height * scale + 1e-2) / dpi
			fig.set_size_inches(__magic_name__       ,    __magic_name__			)
			a__   		=     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__			)

			a__   		=     saveas
			a__   		=     rgb
			a__   		=     pynb
			a__   		=     img
			a__   		=     edgecolor
			a__   		=     0.5
			a__   		=     linestyle
			a__   		=     int(np.sqrt(min(__magic_name__       ,    __magic_name__			)			) * scale // 3			)
			a__   		=     width
			a__   		=     height
			a__   		=     scale
			a__   		=     fig
			a__   		=     ax
			a__   		=     pad
			a__   		=     idaobj
			a__   		=     idaattr
			a__   		=     FigureCanvasAgg(__magic_name__			)


	def    _UpperCamelCase							(  self :Any       ,    __magic_name__ :str       ,    __magic_name__ :int=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)       ,    __magic_name__       ,    __magic_name__       ,    fill=__magic_name__       ,    edgecolor=__magic_name__       ,    linewidth=self.font_size // 3       ,    alpha=self.alpha       ,    linestyle=self.linestyle       ,    )			)


	def    _UpperCamelCase							(  self :int       ,    __magic_name__ :str       ,    __magic_name__ :Union[str, Any]=None       ,    __magic_name__ :Dict=None       ,    __magic_name__ :Dict=None       ,    __magic_name__ :Tuple=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(__magic_name__       ,    torch.Tensor			):
					a__   		=     boxes.numpy()
			if isinstance(__magic_name__       ,    __magic_name__			):
					a__   		=     np.array(__magic_name__			)
			assert isinstance(__magic_name__       ,    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(__magic_name__			)			)]
			a__   		=     [assigned_colors[idx] for idx in sorted_idxs]
			if obj_ids is not None:
					a__   		=     self._create_text_labels_attr(__magic_name__       ,    __magic_name__       ,    __magic_name__       ,    __magic_name__			)
					for i in range(len(__magic_name__			)			):
							a__   		=     assigned_colors[i]
							self.add_box(boxes[i]       ,    __magic_name__			)
							self.draw_labels(labels[i]       ,    boxes[i]       ,    __magic_name__			)


	def    _UpperCamelCase							(  self :str       ,    __magic_name__ :Any       ,    __magic_name__ :List[Any]       ,    __magic_name__ :int			)			->   Optional[Any]:

			'''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(__magic_name__       ,    brightness_factor=0.7			)
			a__   		=     np.clip((height_ratio - 0.02) / 0.08 + 1       ,    1.2       ,    2			)
			font_size *= 0.75 * self.font_size

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


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

			'''simple docstring'''






			a__   		=     0
			a__   		=     self.font_size
			a__   		=     np.maximum(list(mplc.to_rgb(__magic_name__			)			)       ,    0.2			)
			a__   		=     max(0.8       ,    np.max(__magic_name__			)			)
			a__   		=     {
			    '''facecolor''': '''black''',
			    '''alpha''': self.alpha,
			    '''pad''': self.pad,
			    '''edgecolor''': '''none''',
			}
			a__		,	a__   		=     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 :str       ,    __magic_name__ :Any=None			)			->   int:

			'''simple docstring'''






			if saveas is None:
					a__   		=     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 :List[Any]       ,    __magic_name__ :Optional[int]       ,    __magic_name__ :int       ,    __magic_name__ :Optional[int]       ,    __magic_name__ :List[str]			)			->   Dict:

			'''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(__magic_name__       ,    __magic_name__       ,    __magic_name__       ,    __magic_name__			)
			]
			return labels


	def    _UpperCamelCase							(  self :int       ,    __magic_name__ :Dict       ,    __magic_name__ :str			)			->   Tuple:

			'''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(__magic_name__       ,    s * 100			) for li, s in zip(__magic_name__       ,    __magic_name__			)]
			return labels


	def    _UpperCamelCase							(  self :Tuple       ,    __magic_name__ :List[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    _UpperCamelCase							(  self :List[Any]			)			->   Union[str, 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(__magic_name__			)
					a__		,	a__   		=     self.width, self.height
					a__   		=     buf.getvalue()
					a__   		=     self.img

			a__   		=     np.frombuffer(__magic_name__       ,    dtype='''uint8'''			)
			a__   		=     buffer.reshape(__magic_name__       ,    __magic_name__       ,    4			)
			a__		,	a__   		=     np.split(__magic_name__       ,    [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'''			) / 255.0
					a__   		=     img * (1 - alpha) + rgb * alpha

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






	def    _UpperCamelCase							(  self :Optional[Any]       ,    __magic_name__ :str       ,    __magic_name__ :Any			)			->   List[str]:

			'''simple docstring'''






			assert brightness_factor >= -1.0 and brightness_factor <= 1.0
			a__   		=     mplc.to_rgb(__magic_name__			)
			a__   		=     colorsys.rgb_to_hls(*mplc.to_rgb(__magic_name__			)			)
			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]       ,    __magic_name__       ,    polygon_color[2]			)
			return modified_color

__lowerCAmelCase							:  List[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 safs
class SCREAMING_SNAKE_CASE       (      safs.SaFileSystem					):






	'''simple docstring'''




