




'''simple docstring'''






import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


_lowerCAmelCase				     = importlib.metadata.version('''numpy''')
_lowerCAmelCase				     = '.'.join([str(x) for x in sys.version_info[:3]])



class  A		(			lowerCAmelCase__		):




				'''simple docstring'''





				def 	a_	(self      )     ->	Optional[Any]:
							# lt + different version strings
							require_version_core("numpy<1000.4.5"      )
							require_version_core("numpy<1000.4"      )
							require_version_core("numpy<1000"      )

							# le
							require_version_core("numpy<=1000.4.5"      )
							require_version_core(f"numpy<={numpy_ver}"      )

							# eq
							require_version_core(f"numpy=={numpy_ver}"      )

							# ne
							require_version_core("numpy!=1000.4.5"      )

							# ge
							require_version_core("numpy>=1.0"      )
							require_version_core("numpy>=1.0.0"      )
							require_version_core(f"numpy>={numpy_ver}"      )

							# gt
							require_version_core("numpy>1.0.0"      )

							# mix
							require_version_core("numpy>1.0.0,<1000"      )

							# requirement w/o version
							require_version_core("numpy"      )

							# unmet requirements due to version conflict
							for req in ["numpy==1.0.0", "numpy>=1000.0.0", f"numpy<{numpy_ver}"]:
										try:
													require_version_core(UpperCamelCase__      )
										except ImportError as e:
													self.assertIn(f"{req} is required"			,  str(UpperCamelCase__      )      )
													self.assertIn("but found"			,  str(UpperCamelCase__      )      )

        # unmet requirements due to missing module
							for req in ["numpipypie>1", "numpipypie2"]:
										try:
													require_version_core(UpperCamelCase__      )
										except importlib.metadata.PackageNotFoundError as e:
													self.assertIn(f"The \'{req}\' distribution was not found and is required by this application"			,  str(UpperCamelCase__      )      )
													self.assertIn("Try: pip install transformers -U"			,  str(UpperCamelCase__      )      )

        # bogus requirements formats:
        # 1. whole thing
							for req in ["numpy??1.0.0", "numpy1.0.0"]:
										try:
													require_version_core(UpperCamelCase__      )
										except ValueError as e:
													self.assertIn("requirement needs to be in the pip package format"			,  str(UpperCamelCase__      )      )
        # 2. only operators
							for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
										try:
													require_version_core(UpperCamelCase__      )
										except ValueError as e:
													self.assertIn("need one of "			,  str(UpperCamelCase__      )      )





				def 	a_	(self      )     ->	int:
							# matching requirement
							require_version("python>=3.6.0"      )

							# not matching requirements
							for req in ["python>9.9.9", "python<3.0.0"]:
										try:
													require_version_core(UpperCamelCase__      )
										except ImportError as e:
													self.assertIn(f"{req} is required"			,  str(UpperCamelCase__      )      )
													self.assertIn(f"but found python=={python_ver}"			,  str(UpperCamelCase__      )      )









'''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()



