import copy
import os

import cva
import numpy as np
from matplotlib import pyplot as plt
class   _lowerCAmelCase		:







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







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







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







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


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




import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment
@require_huggingface_suite
class   _lowerCAmelCase		(     unittest.TestCase				):







							def 				snake_case  (				self     :    Tuple		):
										lowerCamelCase						:List[Any]						  =     inspect.getfile(accelerate.test_utils		)
										lowerCamelCase						:Dict						  =     os.path.sep.join(
										    mod_file.split(os.path.sep		)[:-1] + ['''scripts''', '''external_deps''', '''test_metrics.py''']		)

										from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

										lowerCamelCase						:Any						  =     test_metrics







							@require_cpu
							def 				snake_case  (				self     :    Dict		):
										debug_launcher(self.test_metrics.main	,					num_processes=1		)







							@require_cpu
							def 				snake_case  (				self     :    int		):
										debug_launcher(self.test_metrics.main		)







							@require_single_gpu
							def 				snake_case  (				self     :    Any		):
										self.test_metrics.main()







							@require_multi_gpu
							def 				snake_case  (				self     :    Optional[int]		):
										print(F"Found {torch.cuda.device_count()} devices."		)
										lowerCamelCase						:Optional[int]						  =     ['''torchrun''', F"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
										with patch_environment(omp_num_threads=1		):
													execute_subprocess_async(__snake_case	,					env=os.environ.copy()		)



