


"""simple docstring"""






import copy
import os

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




class 							A_      :


  def __init__(			self:						Union[str, Any]    ):







     '''simple docstring'''







     _lowerCamelCase   :				Optional[int]							=     ""
     _lowerCamelCase   :				int							=     ""
     _lowerCamelCase   :				Optional[Any]							=     []
     _lowerCamelCase   :				Any							=     0
     _lowerCamelCase   :				List[Any]							=     256
     _lowerCamelCase   :				Union[str, Any]							=     0
     _lowerCamelCase   :				int							=     0
     _lowerCamelCase   :				List[str]							=     0
     _lowerCamelCase   :				List[str]							=     0


  def 							_lowercase					(			self:						int							,__lowerCAmelCase:						List[str]    ):







     '''simple docstring'''







     _lowerCamelCase   :				Optional[Any]							=     cva.imread(__lowerCAmelCase							,0    )
     _lowerCamelCase   :				List[str]							=     copy.deepcopy(self.img    )
     _lowerCamelCase,					_lowerCamelCase,					_lowerCamelCase   :				str							=     plt.hist(self.img.ravel()							,256							,[0, 256]							,label="x"    )
     _lowerCamelCase   :				Union[str, Any]							=     np.sum(__lowerCAmelCase    )
     for i in range(len(__lowerCAmelCase    )    ):
        _lowerCamelCase   :				Tuple							=     x[i] / self.k
        self.sk += prk
        _lowerCamelCase   :				Tuple							=     (self.L - 1) * self.sk
        if self.rem != 0:
           _lowerCamelCase   :				Tuple							=     int(last % last    )
        _lowerCamelCase   :				str							=     int(last + 1 if self.rem >= 0.5 else last    )
        self.last_list.append(__lowerCAmelCase    )
        _lowerCamelCase   :				Optional[Any]							=     int(np.ma.count(self.img    ) / self.img[1].size    )
        _lowerCamelCase   :				Union[str, Any]							=     self.img[1].size
     for i in range(self.number_of_cols    ):
        for j in range(self.number_of_rows    ):
           _lowerCamelCase   :				Union[str, Any]							=     self.img[j][i]
           if num != self.last_list[num]:
              _lowerCamelCase   :				Optional[Any]							=     self.last_list[num]
     cva.imwrite("output_data/output.jpg"							,self.img    )


  def 							_lowercase					(			self:						Union[str, Any]    ):







     '''simple docstring'''







     plt.hist(self.img.ravel()							,256							,[0, 256]    )






  def 							_lowercase					(			self:						Tuple    ):







     '''simple docstring'''







     cva.imshow("Output-Image"							,self.img    )
     cva.imshow("Input-Image"							,self.original_image    )
     cva.waitKey(5_000    )
     cva.destroyAllWindows()


if __name__ == "__main__":
  _lowerCAmelCase							:    List[str]					   =	os.path.join(os.path.basename(__file__), '''image_data/input.jpg''')
  _lowerCAmelCase							:    Tuple					   =	ConstantStretch()
  stretcher.stretch(file_path)
  stretcher.plot_histogram()
  stretcher.show_image()



'''simple docstring'''

import unittest

import numpy as np

def _SCREAMING_SNAKE_CASE (A    ,					A    ,					A    ,					A = None    ,					)			->			np.ndarray:






       """simple docstring"""







       lowercase__      =					np.shape(A			)
       lowercase__      =					np.shape(A			)
       lowercase__      =					np.shape(A			)

       if shape_a[0] != shape_b[0]:
              lowercase__      =					(
                  '''Expected the same number of rows for A and B. '''
                  f"Instead found A of size {shape_a} and B of size {shape_b}"
              )
              raise ValueError(A			)

       if shape_b[1] != shape_c[1]:
              lowercase__      =					(
                  '''Expected the same number of columns for B and C. '''
                  f"Instead found B of size {shape_b} and C of size {shape_c}"
              )
              raise ValueError(A			)

       lowercase__      =					pseudo_inv
       if a_inv is None:
              try:
                     lowercase__      =					np.linalg.inv(A			)
              except np.linalg.LinAlgError:
                     raise ValueError(
                         '''Input matrix A is not invertible. Cannot compute Schur complement.'''			)

       return mat_c - mat_b.T @ a_inv @ mat_b
class     __lowerCAmelCase		(unittest.TestCase	):





      '''simple docstring'''






      def  UpperCamelCase__						(self       :       Dict					):

             '''simple docstring'''







             lowercase__      =					np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]					)
             lowercase__      =					np.array([[0, 3], [3, 0], [2, 3]]					)
             lowercase__      =					np.array([[2, 1], [6, 3]]					)

             lowercase__      =					schur_complement(UpperCamelCase  ,		UpperCamelCase  ,		UpperCamelCase					)

             lowercase__      =					np.block([[a, b], [b.T, c]]					)

             lowercase__      =					np.linalg.det(UpperCamelCase					)
             lowercase__      =					np.linalg.det(UpperCamelCase					)
             lowercase__      =					np.linalg.det(UpperCamelCase					)

             self.assertAlmostEqual(UpperCamelCase  ,		det_a * det_s					)



      def  UpperCamelCase__						(self       :       Optional[int]					):

             '''simple docstring'''







             lowercase__      =					np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]					)
             lowercase__      =					np.array([[0, 3], [3, 0], [2, 3]]					)
             lowercase__      =					np.array([[2, 1], [6, 3]]					)

             with self.assertRaises(UpperCamelCase					):
                    schur_complement(UpperCamelCase  ,		UpperCamelCase  ,		UpperCamelCase					)






      def  UpperCamelCase__						(self       :       Union[str, Any]					):

             '''simple docstring'''







             lowercase__      =					np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]					)
             lowercase__      =					np.array([[0, 3], [3, 0], [2, 3]]					)
             lowercase__      =					np.array([[2, 1, 3], [6, 3, 5]]					)

             with self.assertRaises(UpperCamelCase					):
                    schur_complement(UpperCamelCase  ,		UpperCamelCase  ,		UpperCamelCase					)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 unittest.main()




