import copy
import os

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






class 						__a :



	def __init__(						self							:    Any)->							int:
						__lowerCAmelCase	   =""""""
						__lowerCAmelCase	   =""""""
						__lowerCAmelCase	   =[]
						__lowerCAmelCase	   =0
						__lowerCAmelCase	   =2_56
						__lowerCAmelCase	   =0
						__lowerCAmelCase	   =0
						__lowerCAmelCase	   =0
						__lowerCAmelCase	   =0



	def 		UpperCamelCase							(						self							:    Dict				,	snake_case_							:    Optional[Any])->							List[str]:
						__lowerCAmelCase	   =cva.imread(_a				,	0)
						__lowerCAmelCase	   =copy.deepcopy(self.img)
						__lowerCAmelCase   ,	__lowerCAmelCase   ,	__lowerCAmelCase	   =plt.hist(self.img.ravel()				,	2_56				,	[0, 2_56]				,	label="""x""")
						__lowerCAmelCase	   =np.sum(_a)
						for i in range(len(_a)):
											__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(_a)
											__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 		UpperCamelCase							(						self							:    int)->							Dict:
						plt.hist(self.img.ravel()				,	2_56				,	[0, 2_56])



	def 		UpperCamelCase							(						self							:    str)->							List[str]:
						cva.imshow("""Output-Image"""				,	self.img)
						cva.imshow("""Input-Image"""				,	self.original_image)
						cva.waitKey(50_00)
						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()









import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse('''9.1.0'''):
				lowercase_	       =			{
				    '''linear''': PIL.Image.Resampling.BILINEAR,
				    '''bilinear''': PIL.Image.Resampling.BILINEAR,
				    '''bicubic''': PIL.Image.Resampling.BICUBIC,
				    '''lanczos''': PIL.Image.Resampling.LANCZOS,
				    '''nearest''': PIL.Image.Resampling.NEAREST,
				}
else:
				lowercase_	       =			{
				    '''linear''': PIL.Image.LINEAR,
				    '''bilinear''': PIL.Image.BILINEAR,
				    '''bicubic''': PIL.Image.BICUBIC,
				    '''lanczos''': PIL.Image.LANCZOS,
				    '''nearest''': PIL.Image.NEAREST,
				}






def 					__lowerCAmelCase		(  __lowerCamelCase	:    List[str]	)  ->						int:
					__lowerCAmelCase	   =(images / 2 + 0.5).clamp(0				,   1	)
					__lowerCAmelCase	   =images.cpu().permute(0				,   2				,   3				,   1	).float().numpy()
					__lowerCAmelCase	   =numpy_to_pil(__lowerCamelCase	)
					return images






def 					__lowerCAmelCase		(  __lowerCamelCase	:    str	)  ->						str:
					if images.ndim == 3:
										__lowerCAmelCase	   =images[None, ...]
					__lowerCAmelCase	   =(images * 255).round().astype("""uint8"""	)
					if images.shape[-1] == 1:
										# special case for grayscale (single channel) images
										__lowerCAmelCase	   =[Image.fromarray(image.squeeze()				,   mode="""L"""	) for image in images]
					else:
										__lowerCAmelCase	   =[Image.fromarray(__lowerCamelCase	) for image in images]

					return pil_images




