





"""simple docstring"""





import numpy as np
import PIL
import torch
import torchvision.transforms as T
import torchvision.transforms.functional as TF
from PIL import Image


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						Optional[Any]							,						SCREAMING_SNAKE_CASE					:						Tuple=2_56      ):







						'''simple docstring'''




						lowerCAmelCase  						=	min(img.size      )

						if s < target_image_size:
												raise ValueError(F'min dim for image {s} < {target_image_size}'      )

						lowerCAmelCase  						=	target_image_size / s
						lowerCAmelCase  						=	(round(r * img.size[1]      ), round(r * img.size[0]      ))
						lowerCAmelCase  						=	TF.resize(SCREAMING_SNAKE_CASE							,						SCREAMING_SNAKE_CASE							,						interpolation=PIL.Image.LANCZOS      )
						lowerCAmelCase  						=	TF.center_crop(SCREAMING_SNAKE_CASE							,						output_size=2 * [target_image_size]      )
						lowerCAmelCase  						=	torch.unsqueeze(T.ToTensor()(SCREAMING_SNAKE_CASE      )							,						0      )
						return img


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						Union[str, Any]      ):







						'''simple docstring'''




						lowerCAmelCase  						=	2.0 * x - 1.0
						return x


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						Tuple							,						SCREAMING_SNAKE_CASE					:						Optional[Any]=True							,						SCREAMING_SNAKE_CASE					:						List[str]="RGB"      ):







						'''simple docstring'''




						lowerCAmelCase  						=	x.detach().cpu()
						if process:
												lowerCAmelCase  						=	post_process_tensor(SCREAMING_SNAKE_CASE      )
						lowerCAmelCase  						=	x.numpy()
						if process:
												lowerCAmelCase  						=	(2_55 * x).astype(np.uinta      )
						lowerCAmelCase  						=	Image.fromarray(SCREAMING_SNAKE_CASE      )
						if not x.mode == mode:
												lowerCAmelCase  						=	x.convert(SCREAMING_SNAKE_CASE      )
						return x


def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						List[str]      ):







						'''simple docstring'''




						lowerCAmelCase  						=	torch.clamp(SCREAMING_SNAKE_CASE							,						-1.0							,						1.0      )
						lowerCAmelCase  						=	(x + 1.0) / 2.0
						lowerCAmelCase  						=	x.permute(1							,						2							,						0      )
						return x






def       UpperCAmelCase__							(  SCREAMING_SNAKE_CASE					:						Tuple      ):







						'''simple docstring'''




						lowerCAmelCase  						=	post_process_tensor(x.squeeze()      )
						return x.permute(2							,						0							,						1      ).unsqueeze(0      )













"""simple docstring"""





import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput

@dataclass
class 		lowercase ( _UpperCAmelCase ):
      _SCREAMING_SNAKE_CASE         =				42
      _SCREAMING_SNAKE_CASE         =				None
      _SCREAMING_SNAKE_CASE         =				None







class 		lowercase ( unittest.TestCase ):





      def    _snake_case      (	self			)		->					Optional[Any]:
            lowerCAmelCase  						=	ModelOutputTest(a=30			)
            self.assertEqual(x.a				,						30			)
            self.assertIsNone(x.b			)
            self.assertIsNone(x.c			)
            with self.assertRaises(lowercase			):
                  lowerCAmelCase  						=	x.d





      def    _snake_case      (	self			)		->					Optional[Any]:
            lowerCAmelCase  						=	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)			)

            lowerCAmelCase  						=	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    _snake_case      (	self			)		->					Tuple:
            lowerCAmelCase  						=	ModelOutputTest(a=30				,						b=10			)
            self.assertEqual(x["""a"""]				,						30			)
            self.assertEqual(x["""b"""]				,						10			)
            with self.assertRaises(lowercase			):
                  lowerCAmelCase  						=	x["""c"""]

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





      def    _snake_case      (	self			)		->					Union[str, Any]:
            lowerCAmelCase  						=	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(lowercase			)				,						["""a"""]			)

            lowerCAmelCase  						=	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(lowercase			)				,						["""a""", """b"""]			)

            lowerCAmelCase  						=	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(lowercase			)				,						["""a""", """c"""]			)

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





      def    _snake_case      (	self			)		->					Dict:
            lowerCAmelCase  						=	ModelOutputTest(a=30			)
            lowerCAmelCase  						=	10
            self.assertEqual(x.a				,						10			)
            self.assertEqual(x["""a"""]				,						10			)





      def    _snake_case      (	self			)		->					List[str]:
            lowerCAmelCase  						=	ModelOutputTest(a=30			)
            lowerCAmelCase  						=	10
            self.assertEqual(x.a				,						10			)
            self.assertEqual(x["""a"""]				,						10			)





      def    _snake_case      (	self			)		->					str:
            lowerCAmelCase  						=	ModelOutputTest({"""a""": 30, """b""": 10}			)
            self.assertEqual(list(x.keys()			)				,						["""a""", """b"""]			)
            self.assertEqual(x.a				,						30			)
            self.assertEqual(x.b				,						10			)





      def    _snake_case      (	self			)		->					Dict:
            lowerCAmelCase  						=	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(lowercase			):
                  lowerCAmelCase  						=	ModelOutputTest([("""a""", 30), (10, 10)]			)

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






