

import copy
import os

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


class       SCREAMING_SNAKE_CASE__					:





    def __init__(      self):
         lowercase__    :   Optional[int]      =       ''
         lowercase__    :   List[Any]      =       ''
         lowercase__    :   str      =       []
         lowercase__    :   Tuple      =       0
         lowercase__    :   Union[str, Any]      =       256
         lowercase__    :   int      =       0
         lowercase__    :   List[str]      =       0
         lowercase__    :   Optional[int]      =       0
         lowercase__    :   Any      =       0





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





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





    def       snake_case_				(      self):
         cva.imshow('Output-Image'						,   self.img)
         cva.imshow('Input-Image'						,   self.original_image)
         cva.waitKey(5000)
         cva.destroyAllWindows()


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




def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str = "The quick brown fox jumps over the lazy dog"	,     ):



     '''simple docstring'''





     lowercase__    :   str      =       set()

     # Replace all the whitespace in our sentence
     lowercase__    :   Tuple      =       input_str.replace(' '	,     ''			)
     for alpha in input_str:
          if "a" <= alpha.lower() <= "z":
               frequency.add(alpha.lower()			)
     return len(SCREAMING_SNAKE_CASE_			) == 26

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str = "The quick brown fox jumps over the lazy dog"	,     ):



     '''simple docstring'''





     lowercase__    :   Dict      =       [False] * 26
     for char in input_str:
          if char.islower():
               lowercase__    :   List[Any]      =       True
          elif char.isupper():
               lowercase__    :   Optional[Any]      =       True
     return all(SCREAMING_SNAKE_CASE_			)

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str = "The quick brown fox jumps over the lazy dog"	,     ):



     '''simple docstring'''





     return len({char for char in input_str.lower() if char.isalpha()}			) == 26

def 	snake_case__			(    ):



     '''simple docstring'''





     from timeit import timeit

     lowercase__    :   Union[str, Any]      =       'from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest'
     print(timeit('is_pangram()'	,     setup=SCREAMING_SNAKE_CASE_			)			)
     print(timeit('is_pangram_faster()'	,     setup=SCREAMING_SNAKE_CASE_			)			)
     print(timeit('is_pangram_fastest()'	,     setup=SCREAMING_SNAKE_CASE_			)			)
     # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
     # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       benchmark()

