
import copy
import os

import cva
import numpy as np
from matplotlib import pyplot as plt
class 					lowercase__:



	"""simple docstring"""




	def __init__(			self    :     Optional[int]			)			->	int:
					lowercase_	    =   ''''''
					lowercase_	    =   ''''''
					lowercase_	    =   []
					lowercase_	    =   0
					lowercase_	    =   2_5_6
					lowercase_	    =   0
					lowercase_	    =   0
					lowercase_	    =   0
					lowercase_	    =   0
	def 		_lowercase    (			self    :     Tuple			,				SCREAMING_SNAKE_CASE_    :     Tuple			)			->	List[str]:
					lowercase_	    =   cva.imread(SCREAMING_SNAKE_CASE_			,				0			)
					lowercase_	    =   copy.deepcopy(self.img			)
					lowercase_    ,      lowercase_    ,      lowercase_	    =   plt.hist(self.img.ravel()			,				2_5_6			,				[0, 2_5_6]			,				label='''x'''			)
					lowercase_	    =   np.sum(SCREAMING_SNAKE_CASE_			)
					for i in range(len(SCREAMING_SNAKE_CASE_			)			):
									lowercase_	    =   x[i] / self.k
									self.sk += prk
									lowercase_	    =   (self.L - 1) * self.sk
									if self.rem != 0:
													lowercase_	    =   int(last % last			)
									lowercase_	    =   int(last + 1 if self.rem >= 0.5 else last			)
									self.last_list.append(SCREAMING_SNAKE_CASE_			)
									lowercase_	    =   int(np.ma.count(self.img			) / self.img[1].size			)
									lowercase_	    =   self.img[1].size
					for i in range(self.number_of_cols			):
									for j in range(self.number_of_rows			):
													lowercase_	    =   self.img[j][i]
													if num != self.last_list[num]:
																	lowercase_	    =   self.last_list[num]
					cva.imwrite('''output_data/output.jpg'''			,				self.img			)
	def 		_lowercase    (			self    :     Dict			)			->	Union[str, Any]:
					plt.hist(self.img.ravel()			,				2_5_6			,				[0, 2_5_6]			)




	def 		_lowercase    (			self    :     int			)			->	List[Any]:
					cva.imshow('''Output-Image'''			,				self.img			)
					cva.imshow('''Input-Image'''			,				self.original_image			)
					cva.waitKey(5_0_0_0			)
					cva.destroyAllWindows()


if __name__ == "__main__":
						__a         =   os.path.join(os.path.basename(__file__), 'image_data/input.jpg')
						__a         =   ConstantStretch()
						stretcher.stretch(file_path)
						stretcher.plot_histogram()
						stretcher.show_image()






from __future__ import annotations




def 							a		(				snake_case__:   list[list[int]]   ):


				'''simple docstring'''

				# preprocessing the first row
				for i in range(1		,  len(matrix[0]   )   ):
								matrix[0][i] += matrix[0][i - 1]

				# preprocessing the first column
				for i in range(1		,  len(snake_case__   )   ):
								matrix[i][0] += matrix[i - 1][0]

				# updating the path cost for current position
				for i in range(1		,  len(snake_case__   )   ):
								for j in range(1		,  len(matrix[0]   )   ):
												matrix[i][j] += min(matrix[i - 1][j]		,  matrix[i][j - 1]   )

				return matrix[-1][-1]


if __name__ == "__main__":
						import doctest

						doctest.testmod()




