'''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_			:			Optional[Any]    	=   1_000





class 				lowercase    :


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

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

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


   def __UpperCAmelCase							( self					:						Any ,		__lowerCAmelCase					:						Any ,		__lowerCAmelCase					:						Dict=None)   ->       int:
         if color is None:
               lowercase_     			=   self.edgecolor
         ((lowercase_)			,				(lowercase_)			,				(lowercase_)			,				(lowercase_))     			=   box
         lowercase_     			=   xa - xa
         lowercase_     			=   ya - ya
         self.ax.add_patch(
             mpl.patches.Rectangle(
                 (xa, ya) ,		__lowerCAmelCase ,		__lowerCAmelCase ,		fill=__lowerCAmelCase ,		edgecolor=__lowerCAmelCase ,		linewidth=self.font_size // 3 ,		alpha=self.alpha ,		linestyle=self.linestyle ,		))


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

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


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

         lowercase_     			=   (ya - ya) / np.sqrt(self.height * self.width)
         lowercase_     			=   self._change_color_brightness(__lowerCAmelCase ,		brightness_factor=0.7)
         lowercase_     			=   np.clip((height_ratio - 0.02) / 0.08 + 1 ,		1.2 ,		2)
         font_size *= 0.75 * self.font_size

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


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


   def __UpperCAmelCase							( self					:						Tuple ,		__lowerCAmelCase					:						Dict=None)   ->       List[Any]:
         if saveas is None:
               lowercase_     			=   self.saveas
         if saveas.lower().endswith(".jpg") or saveas.lower().endswith(".png"):
               cva.imwrite(
                   __lowerCAmelCase ,		self._get_buffer()[:, :, ::-1] ,		)
         else:
               self.fig.savefig(__lowerCAmelCase)


   def __UpperCAmelCase							( self					:						Any ,		__lowerCAmelCase					:						Optional[Any] ,		__lowerCAmelCase					:						Union[str, Any] ,		__lowerCAmelCase					:						List[Any] ,		__lowerCAmelCase					:						str)   ->       List[str]:
         lowercase_     			=   [self.idaobj[i] for i in classes]
         lowercase_     			=   [self.idaattr[i] for i in attr_classes]
         lowercase_     			=   [
             F'{label} {score:.2f} {attr} {attr_score:.2f}'
             for label, score, attr, attr_score in zip(__lowerCAmelCase ,		__lowerCAmelCase ,		__lowerCAmelCase ,		__lowerCAmelCase)
         ]
         return labels


   def __UpperCAmelCase							( self					:						List[Any] ,		__lowerCAmelCase					:						Any ,		__lowerCAmelCase					:						int)   ->       Union[str, Any]:
         lowercase_     			=   [self.idaobj[i] for i in classes]
         if scores is not None:
               if labels is None:
                     lowercase_     			=   ["{:.0f}%".format(s * 100) for s in scores]
               else:
                     lowercase_     			=   ["{} {:.0f}%".format(__lowerCAmelCase ,		s * 100) for li, s in zip(__lowerCAmelCase ,		__lowerCAmelCase)]
         return labels


   def __UpperCAmelCase							( self					:						Dict ,		__lowerCAmelCase					:						List[str]=255)   ->       str:
         lowercase_     			=   np.random.randint(0 ,		len(_COLORS))
         lowercase_     			=   _COLORS[idx] * maximum
         if not self.rgb:
               lowercase_     			=   ret[::-1]
         return ret


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

         lowercase_     			=   np.frombuffer(__lowerCAmelCase ,		dtype="uint8")
         lowercase_     			=   buffer.reshape(__lowerCAmelCase ,		__lowerCAmelCase ,		4)
         lowercase_			,				lowercase_     			=   np.split(__lowerCAmelCase ,		[3] ,		axis=2)

         try:
               import numexpr as ne  # fuse them with numexpr

               lowercase_     			=   ne.evaluate("img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)")
         except ImportError:
               lowercase_     			=   alpha.astype("float32") / 255.0
               lowercase_     			=   img * (1 - alpha) + rgb * alpha

         return visualized_image.astype("uint8")


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




lowerCAmelCase_			:			List[str]    	=   (
    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 unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput





@dataclass
class 				lowercase    (    __lowerCamelCase			):
   lowerCamelCase_            =42
   lowerCamelCase_            =None
   lowerCamelCase_            =None





class 				lowercase    (    unittest.TestCase			):


   def __UpperCAmelCase							( self					:						Tuple)   ->       Dict:
         lowercase_     			=   ModelOutputTest(a=30)
         self.assertEqual(x.a ,		30)
         self.assertIsNone(x.b)
         self.assertIsNone(x.c)
         with self.assertRaises(__lowerCAmelCase):
               lowercase_     			=   x.d


   def __UpperCAmelCase							( self					:						List[str])   ->       Union[str, Any]:
         lowercase_     			=   ModelOutputTest(a=30 ,		b=10)
         self.assertEqual(x[0] ,		30)
         self.assertEqual(x[1] ,		10)
         self.assertEqual(x[:2] ,		(30, 10))
         self.assertEqual(x[:] ,		(30, 10))

         lowercase_     			=   ModelOutputTest(a=30 ,		c=10)
         self.assertEqual(x[0] ,		30)
         self.assertEqual(x[1] ,		10)
         self.assertEqual(x[:2] ,		(30, 10))
         self.assertEqual(x[:] ,		(30, 10))


   def __UpperCAmelCase							( self					:						Union[str, Any])   ->       List[str]:
         lowercase_     			=   ModelOutputTest(a=30 ,		b=10)
         self.assertEqual(x["a"] ,		30)
         self.assertEqual(x["b"] ,		10)
         with self.assertRaises(__lowerCAmelCase):
               lowercase_     			=   x["c"]

         lowercase_     			=   ModelOutputTest(a=30 ,		c=10)
         self.assertEqual(x["a"] ,		30)
         self.assertEqual(x["c"] ,		10)
         with self.assertRaises(__lowerCAmelCase):
               lowercase_     			=   x["b"]


   def __UpperCAmelCase							( self					:						List[str])   ->       List[str]:
         lowercase_     			=   ModelOutputTest(a=30)
         self.assertEqual(list(x.keys()) ,		["a"])
         self.assertEqual(list(x.values()) ,		[30])
         self.assertEqual(list(x.items()) ,		[("a", 30)])
         self.assertEqual(list(__lowerCAmelCase) ,		["a"])

         lowercase_     			=   ModelOutputTest(a=30 ,		b=10)
         self.assertEqual(list(x.keys()) ,		["a", "b"])
         self.assertEqual(list(x.values()) ,		[30, 10])
         self.assertEqual(list(x.items()) ,		[("a", 30), ("b", 10)])
         self.assertEqual(list(__lowerCAmelCase) ,		["a", "b"])

         lowercase_     			=   ModelOutputTest(a=30 ,		c=10)
         self.assertEqual(list(x.keys()) ,		["a", "c"])
         self.assertEqual(list(x.values()) ,		[30, 10])
         self.assertEqual(list(x.items()) ,		[("a", 30), ("c", 10)])
         self.assertEqual(list(__lowerCAmelCase) ,		["a", "c"])

         with self.assertRaises(__lowerCAmelCase):
               lowercase_     			=   x.update({"d": 20})
         with self.assertRaises(__lowerCAmelCase):
               del x["a"]
         with self.assertRaises(__lowerCAmelCase):
               lowercase_     			=   x.pop("a")
         with self.assertRaises(__lowerCAmelCase):
               lowercase_     			=   x.setdefault("d" ,		32)


   def __UpperCAmelCase							( self					:						List[Any])   ->       Optional[int]:
         lowercase_     			=   ModelOutputTest(a=30)
         lowercase_     			=   10
         self.assertEqual(x.a ,		10)
         self.assertEqual(x["a"] ,		10)


   def __UpperCAmelCase							( self					:						List[Any])   ->       Any:
         lowercase_     			=   ModelOutputTest(a=30)
         lowercase_     			=   10
         self.assertEqual(x.a ,		10)
         self.assertEqual(x["a"] ,		10)


   def __UpperCAmelCase							( self					:						Union[str, Any])   ->       List[Any]:
         lowercase_     			=   ModelOutputTest({"a": 30, "b": 10})
         self.assertEqual(list(x.keys()) ,		["a", "b"])
         self.assertEqual(x.a ,		30)
         self.assertEqual(x.b ,		10)


   def __UpperCAmelCase							( self					:						List[str])   ->       str:
         lowercase_     			=   ModelOutputTest([("a", 30), ("b", 10)])
         self.assertEqual(list(x.keys()) ,		["a", "b"])
         self.assertEqual(x.a ,		30)
         self.assertEqual(x.b ,		10)

         with self.assertRaises(__lowerCAmelCase):
               lowercase_     			=   ModelOutputTest([("a", 30), (10, 10)])

         lowercase_     			=   ModelOutputTest(a=(30, 30))
         self.assertEqual(list(x.keys()) ,		["a"])
         self.assertEqual(x.a ,		(30, 30))






