


'''simple docstring'''


import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey






class 						lowerCAmelCase__      :




			def __init__(		self	:  Union[str, Any]						,	lowerCamelCase__	:  Optional[Any]						,	lowerCamelCase__	:  int			) ->List[str]:



					'''simple docstring'''







					_UpperCAmelCase		:							Tuple             =   0
					# max greyscale value for #FFFFFF
					_UpperCAmelCase		:							Optional[int]             =   int(self.get_greyscale(2_55						,	2_55						,	2_55			)			)

					if not self.min_threshold < threshold < self.max_threshold:
							_UpperCAmelCase		:							List[str]             =   F"""Factor value should be from 0 to {self.max_threshold}"""
							raise ValueError(lowerCamelCase__			)

					_UpperCAmelCase		:							Optional[int]             =   input_img
					_UpperCAmelCase		:							Any             =   threshold
					_UpperCAmelCase       ,     _UpperCAmelCase		:							Union[str, Any]             =   self.input_img.shape[1], self.input_img.shape[0]

					# error table size (+4 columns and +1 row) greater than input image because of
					# lack of if statements
					_UpperCAmelCase		:							int             =   [
					    [0 for _ in range(self.height + 4			)] for __ in range(self.width + 1			)
					]
					_UpperCAmelCase		:							Optional[Any]             =   np.ones((self.width, self.height, 3)						,	np.uinta			) * 2_55




			@classmethod
			def 				lowerCAmelCase__     (		cls	:  Optional[Any]						,	lowerCamelCase__	:  int						,	lowerCamelCase__	:  int						,	lowerCamelCase__	:  int			) ->float:



					'''simple docstring'''







					return 0.1_1_4 * blue + 0.5_8_7 * green + 0.2_1_2_6 * red






			def 				lowerCAmelCase__     (		self	:  List[Any]			) ->None:



					'''simple docstring'''







					for y in range(self.height			):
							for x in range(self.width			):
									_UpperCAmelCase		:							Union[str, Any]             =   int(self.get_greyscale(*self.input_img[y][x]			)			)
									if self.threshold > greyscale + self.error_table[y][x]:
											_UpperCAmelCase		:							List[str]             =   (0, 0, 0)
											_UpperCAmelCase		:							Dict             =   greyscale + self.error_table[x][y]
									else:
											_UpperCAmelCase		:							str             =   (2_55, 2_55, 2_55)
											_UpperCAmelCase		:							Any             =   greyscale + self.error_table[x][y] - 2_55
									self.error_table[y][x + 1] += int(8 / 32 * current_error			)
									self.error_table[y][x + 2] += int(4 / 32 * current_error			)
									self.error_table[y + 1][x] += int(8 / 32 * current_error			)
									self.error_table[y + 1][x + 1] += int(4 / 32 * current_error			)
									self.error_table[y + 1][x + 2] += int(2 / 32 * current_error			)
									self.error_table[y + 1][x - 1] += int(4 / 32 * current_error			)
									self.error_table[y + 1][x - 2] += int(2 / 32 * current_error			)


if __name__ == "__main__":
						# create Burke's instances with original images in greyscale
						lowerCamelCase__     						=  [
						    Burkes(imread('image_data/lena.jpg', 1), threshold)
						    for threshold in (1, 126, 130, 140)
						]

						for burkes in burkes_instances:
												burkes.process()

						for burkes in burkes_instances:
												imshow(
												    F'''Original image with dithering threshold: {burkes.threshold}''',
												    burkes.output_img,
												)

						waitKey(0)
						destroyAllWindows()







'''simple docstring'''


import io
import json
import subprocess


lowerCamelCase__     						=  [
    ['en', 'ru'],
    ['ru', 'en'],
    ['en', 'de'],
    ['de', 'en'],
]

lowerCamelCase__     						=  8






def 			__lowerCAmelCase			(__lowerCAmelCase   ,			__lowerCAmelCase ):
		_UpperCAmelCase		:							List[str]             =   {}
		for src, tgt in pairs:
				_UpperCAmelCase		:							Tuple             =   F"""{src}-{tgt}"""
				_UpperCAmelCase		:							Tuple             =   F"""sacrebleu -t wmt19 -l {pair} --echo src""".split()
				_UpperCAmelCase		:							List[Any]             =   subprocess.run(__lowerCAmelCase   ,			stdout=subprocess.PIPE ).stdout.decode("utf-8" ).splitlines()
				_UpperCAmelCase		:							Tuple             =   F"""sacrebleu -t wmt19 -l {pair} --echo ref""".split()
				_UpperCAmelCase		:							List[str]             =   subprocess.run(__lowerCAmelCase   ,			stdout=subprocess.PIPE ).stdout.decode("utf-8" ).splitlines()
				_UpperCAmelCase		:							Tuple             =   {"src": src_lines[:n_objs], "tgt": tgt_lines[:n_objs]}
		return text


lowerCamelCase__     						=  get_all_data(pairs, n_objs)
lowerCamelCase__     						=  './fsmt_val_data.json'
with io.open(filename, 'w', encoding='utf-8') as f:
						lowerCamelCase__     						=  json.dump(text, f, indent=2, ensure_ascii=False)



