






import copy
import os

import cva
import numpy as np
from matplotlib import pyplot as plt


class   __SCREAMING_SNAKE_CASE:
							def __init__(     self:      int						)		->		int:
											snake_case__									=     ''
											snake_case__									=     ''
											snake_case__									=     []
											snake_case__									=     0
											snake_case__									=     2_56
											snake_case__									=     0
											snake_case__									=     0
											snake_case__									=     0
											snake_case__									=     0
							def lowerCAmelCase_ (     self:      List[str]       ,	UpperCamelCase:      Tuple						)		->		int:
											snake_case__									=     cva.imread(lowerCAmelCase_       ,	0						)
											snake_case__									=     copy.deepcopy(self.img						)
											snake_case__							,						snake_case__							,						snake_case__									=     plt.hist(self.img.ravel()       ,	2_56       ,	[0, 2_56]       ,	label='x'						)
											snake_case__									=     np.sum(lowerCAmelCase_						)
											for i in range(len(lowerCAmelCase_						)						):
															snake_case__									=     x[i] / self.k
															self.sk += prk
															snake_case__									=     (self.L - 1) * self.sk
															if self.rem != 0:
																			snake_case__									=     int(last % last						)
															snake_case__									=     int(last + 1 if self.rem >= 0.5 else last						)
															self.last_list.append(lowerCAmelCase_						)
															snake_case__									=     int(np.ma.count(self.img						) / self.img[1].size						)
															snake_case__									=     self.img[1].size
											for i in range(self.number_of_cols						):
															for j in range(self.number_of_rows						):
																			snake_case__									=     self.img[j][i]
																			if num != self.last_list[num]:
																							snake_case__									=     self.last_list[num]
											cva.imwrite('output_data/output.jpg'       ,	self.img						)
							def lowerCAmelCase_ (     self:      List[Any]						)		->		Union[str, Any]:
											plt.hist(self.img.ravel()       ,	2_56       ,	[0, 2_56]						)


							def lowerCAmelCase_ (     self:      Optional[int]						)		->		Tuple:
											cva.imshow('Output-Image'       ,	self.img						)
											cva.imshow('Input-Image'       ,	self.original_image						)
											cva.waitKey(50_00						)
											cva.destroyAllWindows()


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












from collections.abc import Sequence
def      a_ (      _A      ,   _A  )			->			float:







				"""simple docstring"""
				return sum(c * (x**i) for i, c in enumerate(_A  )  )
def      a_ (      _A      ,   _A  )			->			float:







				"""simple docstring"""
				snake_case__									=     0.0
				for coeff in reversed(_A  ):
								snake_case__									=     result * x + coeff
				return result


if __name__ == "__main__":
							__UpperCamelCase					:		str	  =						(0.0, 0.0, 5.0, 9.3, 7.0)
							__UpperCamelCase					:		Dict	  =						1_0.0
							print(evaluate_poly(poly, x))
							print(horner(poly, x))




