'''simple docstring'''




import copy
import os

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






class 				a__:


			'''simple docstring'''






			def __init__(   self):




					"""simple docstring"""


					lowerCAmelCase   					=  """"""
					lowerCAmelCase   					=  """"""
					lowerCAmelCase   					=  []
					lowerCAmelCase   					=  0
					lowerCAmelCase   					=  256
					lowerCAmelCase   					=  0
					lowerCAmelCase   					=  0
					lowerCAmelCase   					=  0
					lowerCAmelCase   					=  0



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


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



			def 							a_       (   self):




					"""simple docstring"""


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







			def 							a_       (   self):




					"""simple docstring"""


					cva.imshow("""Output-Image"""       ,    self.img)
					cva.imshow("""Input-Image"""       ,    self.original_image)
					cva.waitKey(5000)
					cva.destroyAllWindows()


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





'''simple docstring'''




from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


__lowercase          =  logging.get_logger(__name__)

__lowercase          =  '''T5Config'''






class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			UpperCAmelCase_			:     List[str]      =       '''mt5'''
			UpperCAmelCase_			:     Tuple      =       MTaConfig







class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			UpperCAmelCase_			:     List[Any]      =       '''mt5'''
			UpperCAmelCase_			:     int      =       MTaConfig







class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			UpperCAmelCase_			:     Tuple      =       '''mt5'''
			UpperCAmelCase_			:     Union[str, Any]      =       MTaConfig




