


"""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]     		=    1_0_0_0






class  __A							:






 """simple docstring"""




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

     a						, a											=img.shape[1], img.shape[0]
     a											=mplfigure.Figure(frameon=__A		)
     a											=fig.get_dpi()
     a											=(width * scale + 1E-2) / dpi
     a											=(height * scale + 1E-2) / dpi
     fig.set_size_inches(__A					,       __A		)
     a											=fig.add_axes([0.0, 0.0, 1.0, 1.0]		)
     ax.axis('''off'''		)
     ax.set_xlim(0.0					,       __A		)
     ax.set_ylim(__A		)

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


 def  SCREAMING_SNAKE_CASE				(						self					,       __A					,       __A=None		)   ->	Optional[Any]:
     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)					,       __A					,       __A					,       fill=__A					,       edgecolor=__A					,       linewidth=self.font_size // 3					,       alpha=self.alpha					,       linestyle=self.linestyle					,       )		)


 def  SCREAMING_SNAKE_CASE				(						self					,       __A					,       __A=None					,       __A=None					,       __A=None					,       __A=None		)   ->	Optional[Any]:
     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(__A					,       torch.Tensor		):
         a											=boxes.numpy()
     if isinstance(__A					,       __A		):
         a											=np.array(__A		)
     assert isinstance(__A					,       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(__A		)		)]
     a											=[assigned_colors[idx] for idx in sorted_idxs]
     if obj_ids is not None:
         a											=self._create_text_labels_attr(__A					,       __A					,       __A					,       __A		)
         for i in range(len(__A		)		):
             a											=assigned_colors[i]
             self.add_box(boxes[i]					,       __A		)
             self.draw_labels(labels[i]					,       boxes[i]					,       __A		)


 def  SCREAMING_SNAKE_CASE				(						self					,       __A					,       __A					,       __A		)   ->	Tuple:
     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(__A					,       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=__A					,       position=__A					,       color=__A					,       )


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


 def  SCREAMING_SNAKE_CASE				(						self					,       __A=None		)   ->	Optional[Any]:
     if saveas is None:
         a											=self.saveas
     if saveas.lower().endswith('''.jpg'''		) or saveas.lower().endswith('''.png'''		):
         cva.imwrite(
             __A					,       self._get_buffer()[:, :, ::-1]					,       )
     else:
         self.fig.savefig(__A		)


 def  SCREAMING_SNAKE_CASE				(						self					,       __A					,       __A					,       __A					,       __A		)   ->	List[str]:
     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(__A					,       __A					,       __A					,       __A		)
     ]
     return labels


 def  SCREAMING_SNAKE_CASE				(						self					,       __A					,       __A		)   ->	Dict:
     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(__A					,       s * 100		) for li, s in zip(__A					,       __A		)]
     return labels


 def  SCREAMING_SNAKE_CASE				(						self					,       __A=255		)   ->	Any:
     a											=np.random.randint(0					,       len(_COLORS		)		)
     a											=_COLORS[idx] * maximum
     if not self.rgb:
         a											=ret[::-1]
     return ret


 def  SCREAMING_SNAKE_CASE				(						self		)   ->	List[str]:
     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(__A		)
         a						, a											=self.width, self.height
         a											=buf.getvalue()
         a											=self.img

     a											=np.frombuffer(__A					,       dtype='''uint8'''		)
     a											=buffer.reshape(__A					,       __A					,       4		)
     a						, a											=np.split(__A					,       [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  SCREAMING_SNAKE_CASE				(						self					,       __A					,       __A		)   ->	Tuple:
     assert brightness_factor >= -1.0 and brightness_factor <= 1.0
     a											=mplc.to_rgb(__A		)
     a											=colorsys.rgb_to_hls(*mplc.to_rgb(__A		)		)
     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]					,       __A					,       polygon_color[2]		)
     return modified_color

lowerCamelCase_  :  Tuple     		=    (
    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 .stack import Stack
def _A		(		lowercase						):







    """simple docstring"""
    a											=Stack()
    a											={'''(''': ''')''', '''[''': ''']''', '''{''': '''}'''}
    for bracket in parentheses:
        if bracket in bracket_pairs:
            stack.push(lowercase						)
        elif bracket in (")", "]", "}"):
            if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
                return False
    return stack.is_empty()


if __name__ == "__main__":
       from doctest import testmod

       testmod()

       lowerCamelCase_  :  List[str]     		=    ["""((()))""", """((())""", """(()))"""]
       print("""Balanced parentheses demonstration:\n""")
       for example in examples:
              lowerCamelCase_  :  str     		=    """""" if balanced_parentheses(example) else """not """
              print(F'{example} is {not_str}balanced')