






import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


UpperCamelCase 				=	get_logger(__name__)



class       __UpperCAmelCase		:
			__snake_case				:      Dict 						=							"dummy_data"
			__snake_case				:      Optional[Any] 						=							"datasets"
			__snake_case				:      Any 						=							False







			def __init__(	self:  str      ,	UpperCAmelCase_:  str      ,	UpperCAmelCase_:  str      ,	UpperCAmelCase_:  Union[Version, str]      ,	UpperCAmelCase_:  Optional[str] = None      ,	UpperCAmelCase_:  bool = False      ,	UpperCAmelCase_:  bool = True      ,	UpperCAmelCase_:  Optional[List[Callable]] = None      ,	):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE	      =  0
									_SCREAMING_SNAKE_CASE	      =  dataset_name
									_SCREAMING_SNAKE_CASE	      =  cache_dir
									_SCREAMING_SNAKE_CASE	      =  use_local_dummy_data
									_SCREAMING_SNAKE_CASE	      =  config
									# download_callbacks take a single url as input
									_SCREAMING_SNAKE_CASE	      =  download_callbacks or []
									# if False, it doesn't load existing files and it returns the paths of the dummy files relative
									# to the dummy_data zip file root
									_SCREAMING_SNAKE_CASE	      =  load_existing_dummy_data

									# TODO(PVP, QL) might need to make this more general
									_SCREAMING_SNAKE_CASE	      =  str(lowerCAmelCase_     )
									# to be downloaded
									_SCREAMING_SNAKE_CASE	      =  None
									_SCREAMING_SNAKE_CASE	      =  None







			@property
			def 							UpperCamelCase      (	self:  List[Any]     ):







									'''simple docstring'''




									if self._dummy_file is None:
															_SCREAMING_SNAKE_CASE	      =  self.download_dummy_data()
									return self._dummy_file







			@property
			def 							UpperCamelCase      (	self:  Tuple     ):







									'''simple docstring'''




									if self.config is not None:
															# structure is dummy / config_name / version_name
															return os.path.join("""dummy"""      ,	self.config.name      ,	self.version_name     )
									# structure is dummy / version_name
									return os.path.join("""dummy"""      ,	self.version_name     )







			@property
			def 							UpperCamelCase      (	self:  List[str]     ):







									'''simple docstring'''




									return os.path.join(self.dummy_data_folder      ,	"""dummy_data.zip"""     )







			def 							UpperCamelCase      (	self:  List[str]     ):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE	      =  (
									    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
									)

									_SCREAMING_SNAKE_CASE	      =  cached_path(
									    lowerCAmelCase_      ,	cache_dir=self.cache_dir      ,	extract_compressed_file=lowerCAmelCase_      ,	force_extract=lowerCAmelCase_     )

									return os.path.join(lowerCAmelCase_      ,	self.dummy_file_name     )







			@property
			def 							UpperCamelCase      (	self:  List[Any]     ):







									'''simple docstring'''




									return os.path.join(self.datasets_scripts_dir      ,	self.dataset_name      ,	self.dummy_zip_file     )







			@property
			def 							UpperCamelCase      (	self:  Dict     ):







									'''simple docstring'''




									if self._bucket_url is None:
															_SCREAMING_SNAKE_CASE	      =  hf_github_url(self.dataset_name      ,	self.dummy_zip_file.replace(os.sep      ,	"""/"""     )     )
									return self._bucket_url







			@property
			def 							UpperCamelCase      (	self:  List[Any]     ):







									'''simple docstring'''




									if os.path.isdir(self.dummy_file     ):
															return self.dummy_file
									# else cut off path to file -> example `xsum`.
									return "/".join(self.dummy_file.replace(os.sep      ,	"""/"""     ).split("""/"""     )[:-1]     )







			def 							UpperCamelCase      (	self:  Tuple      ,	UpperCAmelCase_:  List[str]      ,	*UpperCAmelCase_:  List[Any]     ):







									'''simple docstring'''




									if self.load_existing_dummy_data:
															# dummy data is downloaded and tested
															_SCREAMING_SNAKE_CASE	      =  self.dummy_file
									else:
															# dummy data cannot be downloaded and only the path to dummy file is returned
															_SCREAMING_SNAKE_CASE	      =  self.dummy_file_name

									# special case when data_url is a dict
									if isinstance(lowerCAmelCase_      ,	lowerCAmelCase_     ):
															return self.create_dummy_data_dict(lowerCAmelCase_      ,	lowerCAmelCase_     )
									elif isinstance(lowerCAmelCase_      ,	(list, tuple)     ):
															return self.create_dummy_data_list(lowerCAmelCase_      ,	lowerCAmelCase_     )
									else:
															return self.create_dummy_data_single(lowerCAmelCase_      ,	lowerCAmelCase_     )







			def 							UpperCamelCase      (	self:  Optional[int]      ,	UpperCAmelCase_:  int      ,	*UpperCAmelCase_:  Union[str, Any]     ):







									'''simple docstring'''




									return self.download_and_extract(lowerCAmelCase_     )







			def 							UpperCamelCase      (	self:  Dict      ,	UpperCAmelCase_:  List[str]      ,	UpperCAmelCase_:  Tuple     ):







									'''simple docstring'''




									return self.download_and_extract(lowerCAmelCase_     )







			def 							UpperCamelCase      (	self:  str      ,	UpperCAmelCase_:  Union[str, Any]      ,	*UpperCAmelCase_:  Tuple      ,	**UpperCAmelCase_:  Tuple     ):







									'''simple docstring'''




									return path







			def 							UpperCamelCase      (	self:  List[str]     ):







									'''simple docstring'''




									return {}







			def 							UpperCamelCase      (	self:  Union[str, Any]      ,	UpperCAmelCase_:  int      ,	UpperCAmelCase_:  List[Any]     ):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE	      =  {}
									for key, single_urls in data_url.items():
															for download_callback in self.download_callbacks:
																					if isinstance(lowerCAmelCase_      ,	lowerCAmelCase_     ):
																											for single_url in single_urls:
																																	download_callback(lowerCAmelCase_     )
																					else:
																											_SCREAMING_SNAKE_CASE	      =  single_urls
																											download_callback(lowerCAmelCase_     )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
															if isinstance(lowerCAmelCase_      ,	lowerCAmelCase_     ):
																					_SCREAMING_SNAKE_CASE	      =  [os.path.join(lowerCAmelCase_      ,	urllib.parse.quote_plus(Path(lowerCAmelCase_     ).name     )     ) for x in single_urls]
															else:
																					_SCREAMING_SNAKE_CASE	      =  single_urls
																					_SCREAMING_SNAKE_CASE	      =  os.path.join(lowerCAmelCase_      ,	urllib.parse.quote_plus(Path(lowerCAmelCase_     ).name     )     )
															_SCREAMING_SNAKE_CASE	      =  value

									# make sure that values are unique
									if all(isinstance(lowerCAmelCase_      ,	lowerCAmelCase_     ) for i in dummy_data_dict.values()     ) and len(set(dummy_data_dict.values()     )     ) < len(
									    dummy_data_dict.values()     ):
															# append key to value to make its name unique
															_SCREAMING_SNAKE_CASE	      =  {key: value + key for key, value in dummy_data_dict.items()}

									return dummy_data_dict







			def 							UpperCamelCase      (	self:  Union[str, Any]      ,	UpperCAmelCase_:  List[Any]      ,	UpperCAmelCase_:  Optional[int]     ):







									'''simple docstring'''




									_SCREAMING_SNAKE_CASE	      =  []
									# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
									_SCREAMING_SNAKE_CASE	      =  all(bool(re.findall("""[0-9]{3,}-of-[0-9]{3,}"""      ,	lowerCAmelCase_     )     ) for url in data_url     )
									_SCREAMING_SNAKE_CASE	      =  all(
									    url.startswith("""https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed"""     ) for url in data_url     )
									if data_url and (is_tf_records or is_pubmed_records):
															_SCREAMING_SNAKE_CASE	      =  [data_url[0]] * len(lowerCAmelCase_     )
									for single_url in data_url:
															for download_callback in self.download_callbacks:
																					download_callback(lowerCAmelCase_     )
															# we force the name of each key to be the last file / folder name of the url path
															# if the url has arguments, we need to encode them with urllib.parse.quote_plus
															_SCREAMING_SNAKE_CASE	      =  os.path.join(lowerCAmelCase_      ,	urllib.parse.quote_plus(single_url.split("""/"""     )[-1]     )     )
															dummy_data_list.append(lowerCAmelCase_     )
									return dummy_data_list







			def 							UpperCamelCase      (	self:  List[Any]      ,	UpperCAmelCase_:  Optional[Any]      ,	UpperCAmelCase_:  str     ):







									'''simple docstring'''




									for download_callback in self.download_callbacks:
															download_callback(lowerCAmelCase_     )
									# we force the name of each key to be the last file / folder name of the url path
									# if the url has arguments, we need to encode them with urllib.parse.quote_plus
									_SCREAMING_SNAKE_CASE	      =  os.path.join(lowerCAmelCase_      ,	urllib.parse.quote_plus(data_url.split("""/"""     )[-1]     )     )
									if os.path.exists(lowerCAmelCase_     ) or not self.load_existing_dummy_data:
															return value
									else:
															# Backward compatibility, maybe deprecate at one point.
															# For many datasets with single url calls to dl_manager.download_and_extract,
															# the dummy_data.zip file is actually the zipped downloaded file
															# while now we expected the dummy_data.zip file to be a directory containing
															# the downloaded file.
															return path_to_dummy_data







			def 							UpperCamelCase      (	self:  Optional[int]     ):







									'''simple docstring'''




									pass







			def 							UpperCamelCase      (	self:  Any     ):







									'''simple docstring'''




									pass







			def 							UpperCamelCase      (	self:  Union[str, Any]      ,	UpperCAmelCase_:  Dict     ):







									'''simple docstring'''




									def _iter_archive_members(UpperCAmelCase_:  Dict     ):
															# this preserves the order of the members inside the ZIP archive
															_SCREAMING_SNAKE_CASE	      =  Path(self.dummy_file     ).parent
															_SCREAMING_SNAKE_CASE	      =  path.relative_to(lowerCAmelCase_     )
															with ZipFile(self.local_path_to_dummy_data     ) as zip_file:
																					_SCREAMING_SNAKE_CASE	      =  zip_file.namelist()
															for member in members:
																					if member.startswith(relative_path.as_posix()     ):
																											yield dummy_parent_path.joinpath(lowerCAmelCase_     )

									_SCREAMING_SNAKE_CASE	      =  Path(lowerCAmelCase_     )
									_SCREAMING_SNAKE_CASE	      =  _iter_archive_members(lowerCAmelCase_     ) if self.use_local_dummy_data else path.rglob("""*"""     )
									for file_path in file_paths:
															if file_path.is_file() and not file_path.name.startswith((""".""", """__""")     ):
																					yield file_path.relative_to(lowerCAmelCase_     ).as_posix(), file_path.open("""rb"""     )







			def 							UpperCamelCase      (	self:  Optional[Any]      ,	UpperCAmelCase_:  Tuple     ):







									'''simple docstring'''




									if not isinstance(lowerCAmelCase_      ,	lowerCAmelCase_     ):
															_SCREAMING_SNAKE_CASE	      =  [paths]
									for path in paths:
															if os.path.isfile(lowerCAmelCase_     ):
																					if os.path.basename(lowerCAmelCase_     ).startswith((""".""", """__""")     ):
																											return
																					yield path
															else:
																					for dirpath, dirnames, filenames in os.walk(lowerCAmelCase_     ):
																											if os.path.basename(lowerCAmelCase_     ).startswith((""".""", """__""")     ):
																																	continue
																											dirnames.sort()
																											for filename in sorted(lowerCAmelCase_     ):
																																	if filename.startswith((""".""", """__""")     ):
																																							continue
																																	yield os.path.join(lowerCAmelCase_      ,	lowerCAmelCase_     )









"""simple docstring"""
import copy
import os

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







class 			UpperCamelCase_       :





	def __init__(      self					: str						)						->			Dict:
				UpperCAmelCase_     : List[Any]			     =					""
				UpperCAmelCase_     : int			     =					""
				UpperCAmelCase_     : Dict			     =					[]
				UpperCAmelCase_     : int			     =					0
				UpperCAmelCase_     : List[Any]			     =					256
				UpperCAmelCase_     : Dict			     =					0
				UpperCAmelCase_     : List[Any]			     =					0
				UpperCAmelCase_     : str			     =					0
				UpperCAmelCase_     : List[str]			     =					0





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





	def      _SCREAMING_SNAKE_CASE      (      self					: List[Any]						)						->			Union[str, Any]:
				plt.hist(self.img.ravel()	,	256	,	[0, 256]						)





	def      _SCREAMING_SNAKE_CASE      (      self					: Union[str, Any]						)						->			str:
				cva.imshow("Output-Image"	,	self.img						)
				cva.imshow("Input-Image"	,	self.original_image						)
				cva.waitKey(5_000						)
				cva.destroyAllWindows()


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



