

"""simple docstring"""




def 	lowerCamelCase__	(   _a):
	SCREAMING_SNAKE_CASE				: str			       =    word.upper()
	SCREAMING_SNAKE_CASE				: List[Any]			       =    0
	SCREAMING_SNAKE_CASE				: str			       =    {}
	SCREAMING_SNAKE_CASE				: int			       =    []

	for letter in word:
		if letter not in letter_nums:
			SCREAMING_SNAKE_CASE				: Optional[int]			       =    str(_a)
			next_num += 1
		word_pattern.append(letter_nums[letter])
	return ".".join(_a)


if __name__ == "__main__":
			import pprint
			import time

			a_         =      time.time()
			with open('dictionary.txt') as in_file:
						a_         =      in_file.read().splitlines()

			a_         =      {}
			for word in word_list:
						a_         =      get_word_pattern(word)
						if pattern in all_patterns:
									all_patterns[pattern].append(word)
						else:
									a_         =      [word]

			with open('word_patterns.txt', 'w') as out_file:
						out_file.write(pprint.pformat(all_patterns))

			a_         =      round(time.time() - start_time, 2)
			print(F'''Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.''')
			# Done!  9,581 word patterns found in 0.58 seconds.


import math
import os

import cva
import numpy as np

a_         =      255.0

def 	lowerCamelCase__	(   _a							,     _a):
	SCREAMING_SNAKE_CASE				: Optional[int]			       =    np.mean((original - contrast) ** 2)
	if mse == 0:
		return 100

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

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

	SCREAMING_SNAKE_CASE				: List[Any]			       =    cva.imread(os.path.join(_a							,     "image_data/PSNR-example-base.png"))
	SCREAMING_SNAKE_CASE				: List[str]			       =    cva.imread(
	    os.path.join(_a							,     "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(_a							,     _a)} dB")

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


if __name__ == "__main__":
			main()