"""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__    :    Any			=      1_000
class 							snake_case			:




					"""simple docstring"""

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

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

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







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

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







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

									UpperCAmelCase__			 =				(ya - ya) / np.sqrt(self.height * self.width     )
									UpperCAmelCase__			 =				self._change_color_brightness(lowerCamelCase__       ,brightness_factor=0.7     )
									UpperCAmelCase__			 =				np.clip((height_ratio - 0.0_2) / 0.0_8 + 1       ,1.2       ,2     )
									font_size *= 0.7_5 * self.font_size

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







					def 						__lowerCAmelCase		(							self  :      str       ,lowerCamelCase__  :      Optional[int]       ,lowerCamelCase__  :      Any       ,lowerCamelCase__  :      int="g"       ,lowerCamelCase__  :      Tuple="left"       ,):
									UpperCAmelCase__			 =				0
									UpperCAmelCase__			 =				self.font_size
									UpperCAmelCase__			 =				np.maximum(list(mplc.to_rgb(lowerCamelCase__     )     )       ,0.2     )
									UpperCAmelCase__			 =				max(0.8       ,np.max(lowerCamelCase__     )     )
									UpperCAmelCase__			 =				{
									    'facecolor': 'black',
									    'alpha': self.alpha,
									    'pad': self.pad,
									    'edgecolor': 'none',
									}
									UpperCAmelCase__ ,      UpperCAmelCase__			 =				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 						__lowerCAmelCase		(							self  :      List[Any]       ,lowerCamelCase__  :      Optional[int]=None     ):
									if saveas is None:
													UpperCAmelCase__			 =				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 						__lowerCAmelCase		(							self  :      Tuple       ,lowerCamelCase__  :      List[Any]       ,lowerCamelCase__  :      List[Any]       ,lowerCamelCase__  :      int       ,lowerCamelCase__  :      Any     ):
									UpperCAmelCase__			 =				[self.idaobj[i] for i in classes]
									UpperCAmelCase__			 =				[self.idaattr[i] for i in attr_classes]
									UpperCAmelCase__			 =				[
									    f'''{label} {score:.2f} {attr} {attr_score:.2f}'''
									    for label, score, attr, attr_score in zip(lowerCamelCase__       ,lowerCamelCase__       ,lowerCamelCase__       ,lowerCamelCase__     )
									]
									return labels







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







					def 						__lowerCAmelCase		(							self  :      str       ,lowerCamelCase__  :      Union[str, Any]=255     ):
									UpperCAmelCase__			 =				np.random.randint(0       ,len(_COLORS     )     )
									UpperCAmelCase__			 =				_COLORS[idx] * maximum
									if not self.rgb:
													UpperCAmelCase__			 =				ret[::-1]
									return ret







					def 						__lowerCAmelCase		(							self  :      Any     ):
									if not self.pynb:
													UpperCAmelCase__ ,      UpperCAmelCase__			 =				self.canvas.print_to_buffer()
													if (width, height) != (self.width, self.height):
																	UpperCAmelCase__			 =				cva.resize(self.img       ,(width, height)     )
													else:
																	UpperCAmelCase__			 =				self.img
									else:
													UpperCAmelCase__			 =				io.BytesIO()  # works for cairo backend
													self.canvas.print_rgba(lowerCamelCase__     )
													UpperCAmelCase__ ,      UpperCAmelCase__			 =				self.width, self.height
													UpperCAmelCase__			 =				buf.getvalue()
													UpperCAmelCase__			 =				self.img

									UpperCAmelCase__			 =				np.frombuffer(lowerCamelCase__       ,dtype='uint8'     )
									UpperCAmelCase__			 =				buffer.reshape(lowerCamelCase__       ,lowerCamelCase__       ,4     )
									UpperCAmelCase__ ,      UpperCAmelCase__			 =				np.split(lowerCamelCase__       ,[3]       ,axis=2     )

									try:
													import numexpr as ne  # fuse them with numexpr

													UpperCAmelCase__			 =				ne.evaluate('img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)'     )
									except ImportError:
													UpperCAmelCase__			 =				alpha.astype('float32'     ) / 2_5_5.0
													UpperCAmelCase__			 =				img * (1 - alpha) + rgb * alpha

									return visualized_image.astype('uint8'     )







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






lowerCAmelCase__    :    int			=      (
    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 os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

lowerCAmelCase__    :    Union[str, Any]			=      [(1,)]



def     a_		(   ):
				UpperCAmelCase__			 =				bool(os.getenv('RUN_SLOW'   ,     0			)			)
				if run_slow:
								assert True
				else:
								assert False, "should have been skipped"



def     a_		(   ):
				UpperCAmelCase__			 =				bool(os.getenv('RUN_SLOW'   ,     0			)			)
				if run_slow and torch_device == "cuda":
								assert True
				else:
								assert False, "should have been skipped"
@require_torch
class 							snake_case			(					unittest.TestCase							):




					"""simple docstring"""

					@slow
					@require_torch_gpu
					def 						__lowerCAmelCase		(							self  :      Optional[Any]     ):
									check_slow_torch_cuda()







					@require_torch_gpu
					@slow
					def 						__lowerCAmelCase		(							self  :      Any     ):
									check_slow_torch_cuda()







					@parameterized.expand(lowerCamelCase__     )
					@slow
					def 						__lowerCAmelCase		(							self  :      Union[str, Any]       ,lowerCamelCase__  :      str=None     ):
									check_slow()






@slow
@require_torch_gpu
def     a_		(   ):
				check_slow_torch_cuda()



@require_torch_gpu
@slow
def     a_		(   ):
				check_slow_torch_cuda()



@slow
@pytest.mark.parametrize('param'   ,     [1]			)
def     a_		(   lowerCamelCase			):
				check_slow()







@pytest.mark.parametrize('param'   ,     [1]			)
@slow
def     a_		(   lowerCamelCase			):
				check_slow()



