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


UpperCamelCase    				=		1000



class     snake_case_			:






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

       lowercase__   ,  lowercase__					:  Tuple          =							img.shape[1], img.shape[0]
       lowercase__					:  List[str]          =							mplfigure.Figure(frameon=lowercase_    )
       lowercase__					:  int          =							fig.get_dpi()
       lowercase__					:  List[Any]          =							(width * scale + 1E-2) / dpi
       lowercase__					:  Tuple          =							(height * scale + 1E-2) / dpi
       fig.set_size_inches(lowercase_      ,		lowercase_    )
       lowercase__					:  Tuple          =							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__					:  Any          =							saveas
       lowercase__					:  Optional[Any]          =							rgb
       lowercase__					:  Union[str, Any]          =							pynb
       lowercase__					:  List[Any]          =							img
       lowercase__					:  str          =							edgecolor
       lowercase__					:  Optional[Any]          =							0.5
       lowercase__					:  Optional[int]          =							linestyle
       lowercase__					:  Optional[int]          =							int(np.sqrt(min(lowercase_      ,		lowercase_    )    ) * scale // 3    )
       lowercase__					:  int          =							width
       lowercase__					:  List[Any]          =							height
       lowercase__					:  Optional[int]          =							scale
       lowercase__					:  Dict          =							fig
       lowercase__					:  List[Any]          =							ax
       lowercase__					:  Optional[int]          =							pad
       lowercase__					:  str          =							idaobj
       lowercase__					:  Tuple          =							idaattr
       lowercase__					:  Optional[int]          =							FigureCanvasAgg(lowercase_    )






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

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






   def  __UpperCamelCase	( self							:	str      ,		lowercase_							:	List[str]      ,		lowercase_							:	Union[str, Any]      ,		lowercase_							:	Dict    )   ->		List[str]:
       lowercase__   ,  lowercase__   ,  lowercase__   ,  lowercase__					:  str          =							box
       lowercase__					:  int          =							(xa, ya)
       lowercase__					:  List[Any]          =							(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__					:  str          =							(xa, ya)
           else:
               lowercase__					:  str          =							(xa, ya)

       lowercase__					:  Optional[int]          =							(ya - ya) / np.sqrt(self.height * self.width    )
       lowercase__					:  Dict          =							self._change_color_brightness(lowercase_      ,		brightness_factor=0.7    )
       lowercase__					:  Any          =							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							:	List[str]      ,		lowercase_							:	Any      ,		lowercase_							:	Any      ,		lowercase_							:	Any="g"      ,		lowercase_							:	Tuple="left"      ,		)   ->		str:
       lowercase__					:  List[Any]          =							0
       lowercase__					:  Optional[Any]          =							self.font_size
       lowercase__					:  List[str]          =							np.maximum(list(mplc.to_rgb(lowercase_    )    )      ,		0.2    )
       lowercase__					:  Tuple          =							max(0.8      ,		np.max(lowercase_    )    )
       lowercase__					:  Any          =							{
           "facecolor": "black",
           "alpha": self.alpha,
           "pad": self.pad,
           "edgecolor": "none",
       }
       lowercase__   ,  lowercase__					:  int          =							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[Any]      ,		lowercase_							:	Dict=None    )   ->		Optional[int]:
       if saveas is None:
           lowercase__					:  List[Any]          =							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							:	Optional[Any]      ,		lowercase_							:	Any      ,		lowercase_							:	Any      ,		lowercase_							:	List[Any]      ,		lowercase_							:	Any    )   ->		Any:
       lowercase__					:  Optional[int]          =							[self.idaobj[i] for i in classes]
       lowercase__					:  Any          =							[self.idaattr[i] for i in attr_classes]
       lowercase__					:  Any          =							[
           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[Any]      ,		lowercase_							:	Union[str, Any]      ,		lowercase_							:	List[Any]    )   ->		Optional[Any]:
       lowercase__					:  List[str]          =							[self.idaobj[i] for i in classes]
       if scores is not None:
           if labels is None:
               lowercase__					:  Any          =							["{:.0f}%".format(s * 1_00    ) for s in scores]
           else:
               lowercase__					:  Optional[int]          =							["{} {:.0f}%".format(lowercase_      ,		s * 1_00    ) for li, s in zip(lowercase_      ,		lowercase_    )]
       return labels






   def  __UpperCamelCase	( self							:	Union[str, Any]      ,		lowercase_							:	Dict=2_55    )   ->		int:
       lowercase__					:  Optional[int]          =							np.random.randint(0      ,		len(_COLORS    )    )
       lowercase__					:  Dict          =							_COLORS[idx] * maximum
       if not self.rgb:
           lowercase__					:  Any          =							ret[::-1]
       return ret






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

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

       try:
           import numexpr as ne  # fuse them with numexpr

           lowercase__					:  Union[str, Any]          =							ne.evaluate("img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"    )
       except ImportError:
           lowercase__					:  Any          =							alpha.astype("float32"    ) / 2_55.0
           lowercase__					:  str          =							img * (1 - alpha) + rgb * alpha

       return visualized_image.astype("uint8"    )







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



UpperCamelCase    				=		(
    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 math
from timeit import timeit







def _UpperCamelCase			(	__A       )				->						int:


      '''simple docstring'''



      UpperCamelCase__      =							0
      UpperCamelCase__      =							abs(__A       )
      while True:
            UpperCamelCase__      =							n // 10
            digits += 1
            if n == 0:
                  break
      return digits







def _UpperCamelCase			(	__A       )				->						int:


      '''simple docstring'''



      return 1 if n == 0 else math.floor(math.log(abs(__A       ) ,     10       ) + 1       )







def _UpperCamelCase			(	__A       )				->						int:


      '''simple docstring'''



      return len(str(abs(__A       )       )       )







def _UpperCamelCase			(	)				->						None:


      '''simple docstring'''



      from collections.abc import Callable

      def benchmark_a_function(__A ,     __A       ) -> None:
            UpperCamelCase__      =							F'''{func.__name__}({value})'''
            UpperCamelCase__      =							timeit(F'''__main__.{call}''' ,     setup="import __main__"       )
            print(F'''{call}: {func(__A       )} -- {timing} seconds'''       )

      for value in (262144, 1125899906842624, 1267650600228229401496703205376):
            for func in (num_digits, num_digits_fast, num_digits_faster):
                  benchmark_a_function(__A ,     __A       )
            print()


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  benchmark()





