



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								=      1000


class 	snake_case_			:




       """simple docstring"""






       def __init__(  self  ,lowercase  ,lowercase=1.2  ,lowercase="g"  ,lowercase=0.5  ,lowercase="-"  ,lowercase="test_out.jpg"  ,lowercase=True  ,lowercase=False  ,lowercase=None  ,lowercase=None  ,lowercase=0.7  ,):

             """simple docstring"""





             if isinstance(lowercase  ,torch.Tensor):
                   UpperCAmelCase_	:						List[Any]					   =		img.numpy().astype("np.uint8")
             if isinstance(lowercase  ,lowercase):
                   UpperCAmelCase_	:						List[Any]					   =		img_tensorize(lowercase)
             assert isinstance(lowercase  ,np.ndarray)

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

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



       def 			A_ (  self  ,lowercase  ,lowercase=None):

             """simple docstring"""





             if color is None:
                   UpperCAmelCase_	:						Tuple					   =		self.edgecolor
             ((UpperCAmelCase_)   ,   (UpperCAmelCase_)   ,   (UpperCAmelCase_)   ,   (UpperCAmelCase_))	:						List[str]					   =		box
             UpperCAmelCase_	:						Optional[int]					   =		xa - xa
             UpperCAmelCase_	:						Optional[Any]					   =		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 			A_ (  self  ,lowercase  ,lowercase=None  ,lowercase=None  ,lowercase=None  ,lowercase=None):

             """simple docstring"""





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

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



       def 			A_ (  self  ,lowercase  ,lowercase  ,lowercase):

             """simple docstring"""





             UpperCAmelCase_   ,   UpperCAmelCase_   ,   UpperCAmelCase_   ,   UpperCAmelCase_	:						int					   =		box
             UpperCAmelCase_	:						List[str]					   =		(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_	:						Optional[int]					   =		(xa, ya)
                   else:
                         UpperCAmelCase_	:						Tuple					   =		(xa, ya)

             UpperCAmelCase_	:						Dict					   =		(ya - ya) / np.sqrt(self.height * self.width)
             UpperCAmelCase_	:						Optional[int]					   =		self._change_color_brightness(lowercase  ,brightness_factor=0.7)
             UpperCAmelCase_	:						List[str]					   =		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 			A_ (  self  ,lowercase  ,lowercase  ,lowercase="g"  ,lowercase="left"  ,):

             """simple docstring"""





             UpperCAmelCase_	:						Dict					   =		0
             UpperCAmelCase_	:						int					   =		self.font_size
             UpperCAmelCase_	:						Any					   =		np.maximum(list(mplc.to_rgb(lowercase))  ,0.2)
             UpperCAmelCase_	:						Optional[int]					   =		max(0.8  ,np.max(lowercase))
             UpperCAmelCase_	:						int					   =		{
                 "facecolor": "black",
                 "alpha": self.alpha,
                 "pad": self.pad,
                 "edgecolor": "none",
             }
             UpperCAmelCase_   ,   UpperCAmelCase_	:						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 			A_ (  self  ,lowercase=None):

             """simple docstring"""





             if saveas is None:
                   UpperCAmelCase_	:						Union[str, 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 			A_ (  self  ,lowercase  ,lowercase  ,lowercase  ,lowercase):

             """simple docstring"""





             UpperCAmelCase_	:						Optional[Any]					   =		[self.idaobj[i] for i in classes]
             UpperCAmelCase_	:						Union[str, Any]					   =		[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(lowercase  ,lowercase  ,lowercase  ,lowercase)
             ]
             return labels



       def 			A_ (  self  ,lowercase  ,lowercase):

             """simple docstring"""





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



       def 			A_ (  self  ,lowercase=255):

             """simple docstring"""





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



       def 			A_ (  self):

             """simple docstring"""





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

             UpperCAmelCase_	:						Optional[int]					   =		np.frombuffer(lowercase  ,dtype="uint8")
             UpperCAmelCase_	:						Dict					   =		buffer.reshape(lowercase  ,lowercase  ,4)
             UpperCAmelCase_   ,   UpperCAmelCase_	:						List[str]					   =		np.split(lowercase  ,[3]  ,axis=2)

             try:
                   import numexpr as ne  # fuse them with numexpr

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

             return visualized_image.astype("uint8")



       def 			A_ (  self  ,lowercase  ,lowercase):

             """simple docstring"""





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


__lowerCamelCase								=      (
    np.array(
        [
            0.0_0_0,
            0.4_4_7,
            0.7_4_1,
            0.8_5_0,
            0.3_2_5,
            0.0_9_8,
            0.9_2_9,
            0.6_9_4,
            0.1_2_5,
            0.4_9_4,
            0.1_8_4,
            0.5_5_6,
            0.4_6_6,
            0.6_7_4,
            0.1_8_8,
            0.3_0_1,
            0.7_4_5,
            0.9_3_3,
            0.6_3_5,
            0.0_7_8,
            0.1_8_4,
            0.3_0_0,
            0.3_0_0,
            0.3_0_0,
            0.6_0_0,
            0.6_0_0,
            0.6_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.7_4_9,
            0.7_4_9,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.3_3_3,
            0.0_0_0,
            0.3_3_3,
            0.6_6_7,
            0.0_0_0,
            0.3_3_3,
            1.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.3_3_3,
            0.0_0_0,
            0.6_6_7,
            0.6_6_7,
            0.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.5_0_0,
            0.0_0_0,
            0.6_6_7,
            0.5_0_0,
            0.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.3_3_3,
            0.0_0_0,
            0.5_0_0,
            0.3_3_3,
            0.3_3_3,
            0.5_0_0,
            0.3_3_3,
            0.6_6_7,
            0.5_0_0,
            0.3_3_3,
            1.0_0_0,
            0.5_0_0,
            0.6_6_7,
            0.0_0_0,
            0.5_0_0,
            0.6_6_7,
            0.3_3_3,
            0.5_0_0,
            0.6_6_7,
            0.6_6_7,
            0.5_0_0,
            0.6_6_7,
            1.0_0_0,
            0.5_0_0,
            1.0_0_0,
            0.0_0_0,
            0.5_0_0,
            1.0_0_0,
            0.3_3_3,
            0.5_0_0,
            1.0_0_0,
            0.6_6_7,
            0.5_0_0,
            1.0_0_0,
            1.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.3_3_3,
            1.0_0_0,
            0.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            1.0_0_0,
            0.3_3_3,
            0.3_3_3,
            1.0_0_0,
            0.3_3_3,
            0.6_6_7,
            1.0_0_0,
            0.3_3_3,
            1.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.0_0_0,
            1.0_0_0,
            0.6_6_7,
            0.3_3_3,
            1.0_0_0,
            0.6_6_7,
            0.6_6_7,
            1.0_0_0,
            0.6_6_7,
            1.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.0_0_0,
            1.0_0_0,
            1.0_0_0,
            0.3_3_3,
            1.0_0_0,
            1.0_0_0,
            0.6_6_7,
            1.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_6_7,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_6_7,
            0.0_0_0,
            0.0_0_0,
            0.3_3_3,
            0.0_0_0,
            0.0_0_0,
            0.5_0_0,
            0.0_0_0,
            0.0_0_0,
            0.6_6_7,
            0.0_0_0,
            0.0_0_0,
            0.8_3_3,
            0.0_0_0,
            0.0_0_0,
            1.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.0_0_0,
            0.1_4_3,
            0.1_4_3,
            0.1_4_3,
            0.8_5_7,
            0.8_5_7,
            0.8_5_7,
            1.0_0_0,
            1.0_0_0,
            1.0_0_0,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)





import heapq







def  _snake_case			(							__snake_case       ,	__snake_case       ,	__snake_case     )  ->  str:






      '''simple docstring'''







      UpperCAmelCase_	:						List[str]					   =		[(0, start)]  # cost from start node,end node
      UpperCAmelCase_	:						List[Any]					   =		set()
      while heap:
            ((UpperCAmelCase_)   ,   (UpperCAmelCase_))	:						str					   =		heapq.heappop(__snake_case     )
            if u in visited:
                  continue
            visited.add(__snake_case     )
            if u == end:
                  return cost
            for v, c in graph[u]:
                  if v in visited:
                        continue
                  UpperCAmelCase_	:						Tuple					   =		cost + c
                  heapq.heappush(__snake_case       ,	(next_item, v)     )
      return -1


__lowerCamelCase								=      {
    '''A''': [['''B''', 2], ['''C''', 5]],
    '''B''': [['''A''', 2], ['''D''', 3], ['''E''', 1], ['''F''', 1]],
    '''C''': [['''A''', 5], ['''F''', 3]],
    '''D''': [['''B''', 3]],
    '''E''': [['''B''', 4], ['''F''', 3]],
    '''F''': [['''C''', 3], ['''E''', 3]],
}
__lowerCamelCase								=      {
    '''B''': [['''C''', 1]],
    '''C''': [['''D''', 1]],
    '''D''': [['''F''', 1]],
    '''E''': [['''B''', 1], ['''F''', 3]],
    '''F''': [],
}
__lowerCamelCase								=      {
    '''B''': [['''C''', 1]],
    '''C''': [['''D''', 1]],
    '''D''': [['''F''', 1]],
    '''E''': [['''B''', 1], ['''G''', 2]],
    '''F''': [],
    '''G''': [['''F''', 1]],
}

__lowerCamelCase								=      dijkstra(G, '''E''', '''C''')
print(short_distance)  # E -- 3 --> F -- 3 --> C == 6

__lowerCamelCase								=      dijkstra(Ga, '''E''', '''F''')
print(short_distance)  # E -- 3 --> F == 3

__lowerCamelCase								=      dijkstra(Ga, '''E''', '''F''')
print(short_distance)  # E -- 2 --> G -- 1 --> F == 3

if __name__ == "__main__":
   import doctest

   doctest.testmod()
