



import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


A_		:     Any        =     get_logger(__name__)



class 		_lowercase		(       enum.Enum	):
   _UpperCAmelCase     	=			'''all_checks'''
   _UpperCAmelCase     	=			'''basic_checks'''
   _UpperCAmelCase     	=			'''no_checks'''



class 		_lowercase		(       UpperCAmelCase__	):
   pass



class 		_lowercase		(       UpperCAmelCase__	):
   pass



class 		_lowercase		(       UpperCAmelCase__	):
   pass



class 		_lowercase		(       UpperCAmelCase__	):
   pass


def 	UpperCAmelCase__      (      UpperCAmelCase__ :Optional[dict] ,					UpperCAmelCase__ :dict ,					UpperCAmelCase__ :Union[str, Any]=None					):






 '''simple docstring'''

 if expected_checksums is None:
  logger.info("Unable to verify checksums."					)
  return
 if len(set(UpperCAmelCase__					) - set(UpperCAmelCase__					)					) > 0:
  raise ExpectedMoreDownloadedFiles(str(set(UpperCAmelCase__					) - set(UpperCAmelCase__					)					)					)
 if len(set(UpperCAmelCase__					) - set(UpperCAmelCase__					)					) > 0:
  raise UnexpectedDownloadedFile(str(set(UpperCAmelCase__					) - set(UpperCAmelCase__					)					)					)
 a						=		[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
 a						=		" for " + verification_name if verification_name is not None else ""
 if len(UpperCAmelCase__					) > 0:
  raise NonMatchingChecksumError(
      F"""Checksums didn't match{for_verification_name}:\n"""
      F"""{bad_urls}\n"""
      "Set `verification_mode='no_checks'` to skip checksums verification and ignore this error"					)
 logger.info("All the checksums matched successfully" + for_verification_name					)



class 		_lowercase		(       UpperCAmelCase__	):
   pass



class 		_lowercase		(       UpperCAmelCase__	):
   pass



class 		_lowercase		(       UpperCAmelCase__	):
   pass



class 		_lowercase		(       UpperCAmelCase__	):
   pass


def 	UpperCAmelCase__      (      UpperCAmelCase__ :Optional[dict] ,					UpperCAmelCase__ :dict					):






 '''simple docstring'''

 if expected_splits is None:
  logger.info("Unable to verify splits sizes."					)
  return
 if len(set(UpperCAmelCase__					) - set(UpperCAmelCase__					)					) > 0:
  raise ExpectedMoreSplits(str(set(UpperCAmelCase__					) - set(UpperCAmelCase__					)					)					)
 if len(set(UpperCAmelCase__					) - set(UpperCAmelCase__					)					) > 0:
  raise UnexpectedSplits(str(set(UpperCAmelCase__					) - set(UpperCAmelCase__					)					)					)
 a						=		[
     {"expected": expected_splits[name], "recorded": recorded_splits[name]}
     for name in expected_splits
     if expected_splits[name].num_examples != recorded_splits[name].num_examples
 ]
 if len(UpperCAmelCase__					) > 0:
  raise NonMatchingSplitsSizesError(str(UpperCAmelCase__					)					)
 logger.info("All the splits matched successfully."					)


def 	UpperCAmelCase__      (      UpperCAmelCase__ :str ,					UpperCAmelCase__ :bool = True					):






 '''simple docstring'''

 if record_checksum:
  a						=		shaaaa()
  with open(UpperCAmelCase__ ,					"rb"					) as f:
   for chunk in iter(lambda: f.read(1 << 20					) ,					b""					):
    m.update(UpperCAmelCase__					)
   a						=		m.hexdigest()
 else:
  a						=		None
 return {"num_bytes": os.path.getsize(UpperCAmelCase__					), "checksum": checksum}




def 	UpperCAmelCase__      (      UpperCAmelCase__ :Tuple					):






 '''simple docstring'''

 if dataset_size and config.IN_MEMORY_MAX_SIZE:
  return dataset_size < config.IN_MEMORY_MAX_SIZE
 else:
  return False






import copy
import os

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



class 		_lowercase		:

   def __init__(      self			:       List[str]							)       ->				List[str]:


    """simple docstring"""






    a						=		""
    a						=		""
    a						=		[]
    a						=		0
    a						=		256
    a						=		0
    a						=		0
    a						=		0
    a						=		0

   def 		A							(      self			:       Optional[Any]							,   __lowerCAmelCase			:       Any							)       ->				int:


    """simple docstring"""






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

   def 		A							(      self			:       Any							)       ->				int:


    """simple docstring"""






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




   def 		A							(      self			:       Any							)       ->				int:


    """simple docstring"""






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


if __name__ == "__main__":
     A_		:     List[Any]        =     os.path.join(os.path.basename(__file__), '''image_data/input.jpg''')
     A_		:     int        =     ConstantStretch()
     stretcher.stretch(file_path)
     stretcher.plot_histogram()
     stretcher.show_image()

