




'''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()





'''simple docstring'''






from __future__ import annotations

import random
from collections.abc import Iterable
from typing import Any, Generic, TypeVar

_lowerCAmelCase				     = TypeVar('''T''', bound=bool)



class  A		(			Generic[T]		):




				'''simple docstring'''





				def __init__(self			,  _UpperCAmelCase      )     ->	None:
							__UpperCamelCase				:      T									=       value
							__UpperCamelCase				:      RandomizedHeapNode[T] | None									=       None
							__UpperCamelCase				:      RandomizedHeapNode[T] | None									=       None
				@property
				def 	a_	(self      )     ->	T:
							return self._value





				@staticmethod
				def 	a_	(_UpperCAmelCase			,  _UpperCAmelCase      )     ->	RandomizedHeapNode[T] | None:
							if not roota:
										return roota

							if not roota:
										return roota

							if roota.value > roota.value:
										__UpperCamelCase		, __UpperCamelCase				:      int									=       roota, roota

							if random.choice([True, False]      ):
										__UpperCamelCase		, __UpperCamelCase				:      Dict									=       roota.right, roota.left

							__UpperCamelCase				:      Any									=       RandomizedHeapNode.merge(roota.left			,  _UpperCAmelCase      )

							return roota







class  A		(			Generic[T]		):




				'''simple docstring'''





				def __init__(self			,  _UpperCAmelCase = ()      )     ->	None:
							__UpperCamelCase				:      RandomizedHeapNode[T] | None									=       None

							if data:
										for item in data:
													self.insert(_UpperCAmelCase      )
				def 	a_	(self			,  _UpperCAmelCase      )     ->	None:
							__UpperCamelCase				:      str									=       RandomizedHeapNode.merge(self._root			,  RandomizedHeapNode(_UpperCAmelCase      )      )
				def 	a_	(self      )     ->	T | None:
							__UpperCamelCase				:      Dict									=       self.top()

							if self._root is None:
										return None

							__UpperCamelCase				:      List[str]									=       RandomizedHeapNode.merge(self._root.left			,  self._root.right      )

							return result
				def 	a_	(self      )     ->	T:
							if not self._root:
										raise IndexError("Can't get top element for the empty heap."      )
							return self._root.value
				def 	a_	(self      )     ->	None:
							__UpperCamelCase				:      int									=       None
				def 	a_	(self      )     ->	list[Any]:
							__UpperCamelCase				:      int									=       []
							while self:
										result.append(self.pop()      )

							return result





				def __bool__(self      )     ->	bool:
							return self._root is not None


if __name__ == "__main__":
				import doctest

				doctest.testmod()



