






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 			=							1000
class 							__snake_case:



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

    """simple docstring"""






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

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

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



 def     UpperCAmelCase     (						self : int			,		UpperCAmelCase__ : int			,		UpperCAmelCase__ : Any=None						):

    """simple docstring"""






    if color is None:
       lowercase__    :						str       =			self.edgecolor
    ((lowercase__)  ,       (lowercase__)  ,       (lowercase__)  ,       (lowercase__))    :						Any       =			box
    lowercase__    :						Tuple       =			xa - xa
    lowercase__    :						Tuple       =			ya - ya
    self.ax.add_patch(
        mpl.patches.Rectangle(
            (xa, ya)			,		lowercase__			,		lowercase__			,		fill=lowercase__			,		edgecolor=lowercase__			,		linewidth=self.font_size // 3			,		alpha=self.alpha			,		linestyle=self.linestyle			,		)						)



 def     UpperCAmelCase     (						self : Any			,		UpperCAmelCase__ : Optional[Any]			,		UpperCAmelCase__ : str=None			,		UpperCAmelCase__ : Any=None			,		UpperCAmelCase__ : List[str]=None			,		UpperCAmelCase__ : str=None						):

    """simple docstring"""






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

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



 def     UpperCAmelCase     (						self : int			,		UpperCAmelCase__ : Tuple			,		UpperCAmelCase__ : Optional[int]			,		UpperCAmelCase__ : Tuple						):

    """simple docstring"""






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

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

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



 def     UpperCAmelCase     (						self : Any			,		UpperCAmelCase__ : Union[str, Any]			,		UpperCAmelCase__ : Tuple			,		UpperCAmelCase__ : int="g"			,		UpperCAmelCase__ : Optional[Any]="left"			,		):

    """simple docstring"""






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



 def     UpperCAmelCase     (						self : List[str]			,		UpperCAmelCase__ : Tuple=None						):

    """simple docstring"""






    if saveas is None:
       lowercase__    :						Optional[int]       =			self.saveas
    if saveas.lower().endswith(""".jpg"""						) or saveas.lower().endswith(""".png"""						):
       cva.imwrite(
           lowercase__			,		self._get_buffer()[:, :, ::-1]			,		)
    else:
       self.fig.savefig(lowercase__						)



 def     UpperCAmelCase     (						self : str			,		UpperCAmelCase__ : Tuple			,		UpperCAmelCase__ : Union[str, Any]			,		UpperCAmelCase__ : str			,		UpperCAmelCase__ : int						):

    """simple docstring"""






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



 def     UpperCAmelCase     (						self : List[str]			,		UpperCAmelCase__ : List[str]			,		UpperCAmelCase__ : Any						):

    """simple docstring"""






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



 def     UpperCAmelCase     (						self : Union[str, Any]			,		UpperCAmelCase__ : Any=255						):

    """simple docstring"""






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



 def     UpperCAmelCase     (						self : Tuple						):

    """simple docstring"""






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

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

    try:
       import numexpr as ne  # fuse them with numexpr

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

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







 def     UpperCAmelCase     (						self : str			,		UpperCAmelCase__ : List[Any]			,		UpperCAmelCase__ : List[str]						):

    """simple docstring"""






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







def 		__snake_case						(    _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase				):
					"""simple docstring"""






					if right <= left:
										return
					lowercase						   =       lowercase						   =       left
					lowercase						   =       right
					lowercase						   =       sorting[left]
					while i <= b:
										if sorting[i] < pivot:
															lowercase   ,      lowercase						   =       sorting[i], sorting[a]
															a += 1
															i += 1
										elif sorting[i] > pivot:
															lowercase   ,      lowercase						   =       sorting[i], sorting[b]
															b -= 1
										else:
															i += 1
					quick_sort_apartition(_UpperCAmelCase       ,			_UpperCAmelCase       ,			a - 1				)
					quick_sort_apartition(_UpperCAmelCase       ,			b + 1       ,			_UpperCAmelCase				)





def 		__snake_case						(    _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase				):
					"""simple docstring"""






					if left < right:
										lowercase						   =       lomuto_partition(_UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase				)
										quick_sort_lomuto_partition(_UpperCAmelCase       ,			_UpperCAmelCase       ,			pivot_index - 1				)
										quick_sort_lomuto_partition(_UpperCAmelCase       ,			pivot_index + 1       ,			_UpperCAmelCase				)





def 		__snake_case						(    _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase				):
					"""simple docstring"""






					lowercase						   =       sorting[right]
					lowercase						   =       left
					for i in range(_UpperCAmelCase       ,			_UpperCAmelCase				):
										if sorting[i] < pivot:
															lowercase   ,      lowercase						   =       sorting[i], sorting[store_index]
															store_index += 1
					lowercase   ,      lowercase						   =       sorting[store_index], sorting[right]
					return store_index





def 		__snake_case						(    _UpperCAmelCase				):
					"""simple docstring"""






					if len(_UpperCAmelCase				) <= 1:
										return sorting
					return (
					    three_way_radix_quicksort([i for i in sorting if i < sorting[0]]				)
					    + [i for i in sorting if i == sorting[0]]
					    + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]				)
					)


if __name__ == "__main__":
		import doctest

		doctest.testmod(verbose=True)

		__magic_name__       =     input('''Enter numbers separated by a comma:\n''').strip()
		__magic_name__       =     [int(item) for item in user_input.split(''',''')]
		quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
		print(unsorted)






