




"""simple docstring"""







import hashlib
import unittest
from typing import Dict

import numpy as np

from transformers import (
    MODEL_FOR_MASK_GENERATION_MAPPING,
    TF_MODEL_FOR_MASK_GENERATION_MAPPING,
    is_vision_available,
    pipeline,
)
from transformers.pipelines import MaskGenerationPipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_tf,
    require_torch,
    require_vision,
    slow,
)


if is_vision_available():
		from PIL import Image
else:






		class       SCREAMING_SNAKE_CASE__					:


								@staticmethod
								def   __lowercase (							*lowerCAmelCase				:			Optional[int]						,						**lowerCAmelCase				:			Union[str, Any]					):
												pass





def 							lowercase					(snake_case__   : Image )     ->  str:


				'''simple docstring'''






				lowerCAmelCase  =				hashlib.mda(image.tobytes() )
				return m.hexdigest()[:10]





def 							lowercase					(snake_case__   : Image )     ->  Dict:


				'''simple docstring'''






				lowerCAmelCase  =				np.array(snake_case__ )
				lowerCAmelCase  =				npimg.shape
				return {"hash": hashimage(snake_case__ ), "shape": shape}






@is_pipeline_test
@require_vision
@require_torch
class       SCREAMING_SNAKE_CASE__					(					unittest.TestCase					):
						_a    						=						dict(
						    (list(MODEL_FOR_MASK_GENERATION_MAPPING.items()					) if MODEL_FOR_MASK_GENERATION_MAPPING else [])					)
						_a    						=						dict(
						    (list(TF_MODEL_FOR_MASK_GENERATION_MAPPING.items()					) if TF_MODEL_FOR_MASK_GENERATION_MAPPING else [])					)


						def   __lowercase (							self				:			Tuple						,						lowerCAmelCase				:			Optional[Any]						,						lowerCAmelCase				:			Dict						,						lowerCAmelCase				:			Dict					):
										lowerCAmelCase  =				MaskGenerationPipeline(model=lowerCAmelCase						,						image_processor=lowerCAmelCase					)
										return image_segmenter, [
										    "./tests/fixtures/tests_samples/COCO/000000039769.png",
										    "./tests/fixtures/tests_samples/COCO/000000039769.png",
										]


						def   __lowercase (							self				:			Any						,						lowerCAmelCase				:			Any						,						lowerCAmelCase				:			int					):
										pass


						@require_tf
						@unittest.skip("""Image segmentation not implemented in TF"""					)
						def   __lowercase (							self				:			int					):
										pass


						@slow
						@require_torch
						def   __lowercase (							self				:			List[Any]					):
										lowerCAmelCase  =				pipeline("""mask-generation"""						,						model="""facebook/sam-vit-huge"""					)

										lowerCAmelCase  =				image_segmenter("""http://images.cocodataset.org/val2017/000000039769.jpg"""						,						points_per_batch=256					)

										# Shortening by hashing
										lowerCAmelCase  =				[]
										for i, o in enumerate(outputs["""masks"""]					):
														new_outupt += [{"mask": mask_to_test_readable(lowerCAmelCase					), "scores": outputs["scores"][i]}]

										# fmt: off
										self.assertEqual(
										    nested_simplify(lowerCAmelCase						,						decimals=4					)						,						[
										        {"""mask""": {"""hash""": """115ad19f5f""", """shape""": (480, 640)}, """scores""": 1.0444},
										        {"""mask""": {"""hash""": """6affa964c6""", """shape""": (480, 640)}, """scores""": 1.021},
										        {"""mask""": {"""hash""": """dfe28a0388""", """shape""": (480, 640)}, """scores""": 1.0167},
										        {"""mask""": {"""hash""": """c0a5f4a318""", """shape""": (480, 640)}, """scores""": 1.0132},
										        {"""mask""": {"""hash""": """fe8065c197""", """shape""": (480, 640)}, """scores""": 1.0053},
										        {"""mask""": {"""hash""": """e2d0b7a0b7""", """shape""": (480, 640)}, """scores""": 0.9967},
										        {"""mask""": {"""hash""": """453c7844bd""", """shape""": (480, 640)}, """scores""": 0.993},
										        {"""mask""": {"""hash""": """3d44f2926d""", """shape""": (480, 640)}, """scores""": 0.9909},
										        {"""mask""": {"""hash""": """64033ddc3f""", """shape""": (480, 640)}, """scores""": 0.9879},
										        {"""mask""": {"""hash""": """801064ff79""", """shape""": (480, 640)}, """scores""": 0.9834},
										        {"""mask""": {"""hash""": """6172f276ef""", """shape""": (480, 640)}, """scores""": 0.9716},
										        {"""mask""": {"""hash""": """b49e60e084""", """shape""": (480, 640)}, """scores""": 0.9612},
										        {"""mask""": {"""hash""": """a811e775fd""", """shape""": (480, 640)}, """scores""": 0.9599},
										        {"""mask""": {"""hash""": """a6a8ebcf4b""", """shape""": (480, 640)}, """scores""": 0.9552},
										        {"""mask""": {"""hash""": """9d8257e080""", """shape""": (480, 640)}, """scores""": 0.9532},
										        {"""mask""": {"""hash""": """32de6454a8""", """shape""": (480, 640)}, """scores""": 0.9516},
										        {"""mask""": {"""hash""": """af3d4af2c8""", """shape""": (480, 640)}, """scores""": 0.9499},
										        {"""mask""": {"""hash""": """3c6db475fb""", """shape""": (480, 640)}, """scores""": 0.9483},
										        {"""mask""": {"""hash""": """c290813fb9""", """shape""": (480, 640)}, """scores""": 0.9464},
										        {"""mask""": {"""hash""": """b6f0b8f606""", """shape""": (480, 640)}, """scores""": 0.943},
										        {"""mask""": {"""hash""": """92ce16bfdf""", """shape""": (480, 640)}, """scores""": 0.943},
										        {"""mask""": {"""hash""": """c749b25868""", """shape""": (480, 640)}, """scores""": 0.9408},
										        {"""mask""": {"""hash""": """efb6cab859""", """shape""": (480, 640)}, """scores""": 0.9335},
										        {"""mask""": {"""hash""": """1ff2eafb30""", """shape""": (480, 640)}, """scores""": 0.9326},
										        {"""mask""": {"""hash""": """788b798e24""", """shape""": (480, 640)}, """scores""": 0.9262},
										        {"""mask""": {"""hash""": """abea804f0e""", """shape""": (480, 640)}, """scores""": 0.8999},
										        {"""mask""": {"""hash""": """7b9e8ddb73""", """shape""": (480, 640)}, """scores""": 0.8986},
										        {"""mask""": {"""hash""": """cd24047c8a""", """shape""": (480, 640)}, """scores""": 0.8984},
										        {"""mask""": {"""hash""": """6943e6bcbd""", """shape""": (480, 640)}, """scores""": 0.8873},
										        {"""mask""": {"""hash""": """b5f47c9191""", """shape""": (480, 640)}, """scores""": 0.8871}
										    ]						,						)
										# fmt: on




						@require_torch
						@slow
						def   __lowercase (							self				:			Tuple					):
										lowerCAmelCase  =				"""facebook/sam-vit-huge"""
										lowerCAmelCase  =				pipeline("""mask-generation"""						,						model=lowerCAmelCase					)

										lowerCAmelCase  =				image_segmenter(
										    """http://images.cocodataset.org/val2017/000000039769.jpg"""						,						pred_iou_thresh=1						,						points_per_batch=256					)

										# Shortening by hashing
										lowerCAmelCase  =				[]
										for i, o in enumerate(outputs["""masks"""]					):
														new_outupt += [{"mask": mask_to_test_readable(lowerCAmelCase					), "scores": outputs["scores"][i]}]

										self.assertEqual(
										    nested_simplify(lowerCAmelCase						,						decimals=4					)						,						[
										        {"""mask""": {"""hash""": """115ad19f5f""", """shape""": (480, 640)}, """scores""": 1.0444},
										        {"""mask""": {"""hash""": """6affa964c6""", """shape""": (480, 640)}, """scores""": 1.0210},
										        {"""mask""": {"""hash""": """dfe28a0388""", """shape""": (480, 640)}, """scores""": 1.0167},
										        {"""mask""": {"""hash""": """c0a5f4a318""", """shape""": (480, 640)}, """scores""": 1.0132},
										        {"""mask""": {"""hash""": """fe8065c197""", """shape""": (480, 640)}, """scores""": 1.0053},
										    ]						,						)











"""simple docstring"""







from __future__ import annotations





def 							lowercase					(snake_case__   : list[int]      ,       snake_case__   : int      ,       snake_case__   : int      ,       snake_case__   : int )     ->  None:


				'''simple docstring'''






				if (direction == 1 and array[indexa] > array[indexa]) or (
				    direction == 0 and array[indexa] < array[indexa]
				):
								lowerCAmelCase ,						lowerCAmelCase  =				array[indexa], array[indexa]





def 							lowercase					(snake_case__   : list[int]      ,       snake_case__   : int      ,       snake_case__   : int      ,       snake_case__   : int )     ->  None:


				'''simple docstring'''






				if length > 1:
								lowerCAmelCase  =				int(length / 2 )
								for i in range(snake_case__      ,       low + middle ):
												comp_and_swap(snake_case__      ,       snake_case__      ,       i + middle      ,       snake_case__ )
								bitonic_merge(snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__ )
								bitonic_merge(snake_case__      ,       low + middle      ,       snake_case__      ,       snake_case__ )





def 							lowercase					(snake_case__   : list[int]      ,       snake_case__   : int      ,       snake_case__   : int      ,       snake_case__   : int )     ->  None:


				'''simple docstring'''






				if length > 1:
								lowerCAmelCase  =				int(length / 2 )
								bitonic_sort(snake_case__      ,       snake_case__      ,       snake_case__      ,       1 )
								bitonic_sort(snake_case__      ,       low + middle      ,       snake_case__      ,       0 )
								bitonic_merge(snake_case__      ,       snake_case__      ,       snake_case__      ,       snake_case__ )


if __name__ == "__main__":
		a      =							input('Enter numbers separated by a comma:\n').strip()
		a      =							[int(item.strip()) for item in user_input.split(',')]

		bitonic_sort(unsorted, 0, len(unsorted), 1)
		print('\nSorted array in ascending order is: ', end='')
		print(*unsorted, sep=', ')

		bitonic_merge(unsorted, 0, len(unsorted), 0)
		print('Sorted array in descending order is: ', end='')
		print(*unsorted, sep=', ')





