




'''simple docstring'''






import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


_lowerCAmelCase				     = "\nHugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.\n\nIn March 2021, Hugging Face raised $40 million in a Series B funding round.[3]\n\nOn April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]\n"



class  A		(			unittest.TestCase      ,							SCREAMING_SNAKE_CASE__		):




				'''simple docstring'''





				def 	a_	(self      )     ->	int:
							__UpperCamelCase				:      Dict									=       load_tool("summarization"      )
							self.tool.setup()
							__UpperCamelCase				:      List[str]									=       load_tool("summarization"			,  remote=_UpperCAmelCase      )
				def 	a_	(self      )     ->	Dict:
							__UpperCamelCase				:      Any									=       self.tool(_UpperCAmelCase      )
							self.assertEqual(
							    _UpperCAmelCase			,  "Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM."			,  )
				def 	a_	(self      )     ->	List[str]:
							__UpperCamelCase				:      int									=       self.remote_tool(_UpperCAmelCase      )
							self.assertEqual(
							    _UpperCAmelCase			,  "Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM."			,  )
				def 	a_	(self      )     ->	Dict:
							__UpperCamelCase				:      Optional[int]									=       self.tool(text=_UpperCAmelCase      )
							self.assertEqual(
							    _UpperCAmelCase			,  "Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM."			,  )





				def 	a_	(self      )     ->	int:
							__UpperCamelCase				:      List[Any]									=       self.remote_tool(text=_UpperCAmelCase      )
							self.assertEqual(
							    _UpperCAmelCase			,  "Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM."			,  )









'''simple docstring'''






import math
import os

import cva
import numpy as np

_lowerCAmelCase				     = 255.0

def       __lowerCAmelCase (   snake_case__ ,				snake_case__						):
			__UpperCamelCase				:      Dict									=       np.mean((original - contrast) ** 2						)
			if mse == 0:
						return 100

			return 20 * math.logaa(PIXEL_MAX / math.sqrt(snake_case__						)						)

def       __lowerCAmelCase (   ):
			__UpperCamelCase				:      Tuple									=       os.path.dirname(os.path.realpath(snake_case__						)						)
			# Loading images (original image and compressed image)
			__UpperCamelCase				:      Tuple									=       cva.imread(os.path.join(snake_case__ ,				"image_data/original_image.png"						)						)
			__UpperCamelCase				:      List[Any]									=       cva.imread(os.path.join(snake_case__ ,				"image_data/compressed_image.png"						) ,				1						)

			__UpperCamelCase				:      Dict									=       cva.imread(os.path.join(snake_case__ ,				"image_data/PSNR-example-base.png"						)						)
			__UpperCamelCase				:      Optional[Any]									=       cva.imread(
			    os.path.join(snake_case__ ,				"image_data/PSNR-example-comp-10.jpg"						) ,				1						)

			# Value expected: 29.73dB
			print("-- First Test --"						)
			print(F"PSNR value is {peak_signal_to_noise_ratio(snake_case__ ,				snake_case__						)} dB"						)

			# # Value expected: 31.53dB (Wikipedia Example)
			print("\n-- Second Test --"						)
			print(F"PSNR value is {peak_signal_to_noise_ratio(snake_case__ ,				snake_case__						)} dB"						)


if __name__ == "__main__":
				main()



