
import copy
import os

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







class 			A_  :




	'''simple docstring'''


	def __init__(			self			):
		lowercase	    =       ''
		lowercase	    =       ''
		lowercase	    =       []
		lowercase	    =       0
		lowercase	    =       256
		lowercase	    =       0
		lowercase	    =       0
		lowercase	    =       0
		lowercase	    =       0





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		lowercase	    =       cva.imread(snake_case						,       0			)
		lowercase	    =       copy.deepcopy(self.img			)
		lowercase    ,   lowercase    ,   lowercase	    =       plt.hist(self.img.ravel()						,       256						,       [0, 256]						,       label='x'			)
		lowercase	    =       np.sum(snake_case			)
		for i in range(len(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(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       SCREAMING_SNAKE_CASE__		(			self			):
		plt.hist(self.img.ravel()						,       256						,       [0, 256]			)





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


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



"""simple docstring"""




import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


_A     :			Optional[int]  						=			logging.get_logger(__name__)

class 						a__		( a_		):
   def __init__(     self      ,       *_a      ,       **_a							):
          warnings.warn(
              "The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
              " use OwlViTImageProcessor instead."      ,       _a      ,       )
          super().__init__(*_a      ,       **_a							)


