

def    __UpperCAmelCase (	__a      :			str		,__a      :			str	)			->     float:

					"""simple docstring"""

					def get_matched_characters(__a      :			str		,__a      :			str	) -> str:
										_a	:    Optional[int]         =		[]
										_a	:    Dict         =		min(len(_stra	)		,len(_stra	)	) // 2
										for i, l in enumerate(_stra	):
															_a	:    Optional[int]         =		int(max(0		,i - limit	)	)
															_a	:    Tuple         =		int(min(i + limit + 1		,len(_stra	)	)	)
															if l in _stra[left:right]:
																				matched.append(_lowerCamelCase	)
																				_a	:    Dict         =		F"""{_stra[0:_stra.index(_lowerCamelCase	)]} {_stra[_stra.index(_lowerCamelCase	) + 1:]}"""

										return "".join(_lowerCamelCase	)

					# matching characters
					_a	:    Union[str, Any]         =		get_matched_characters(_lowerCamelCase		,_lowerCamelCase	)
					_a	:    Union[str, Any]         =		get_matched_characters(_lowerCamelCase		,_lowerCamelCase	)
					_a	:    List[str]         =		len(_lowerCamelCase	)

					# transposition
					_a	:    List[Any]         =		(
					    len([(ca, ca) for ca, ca in zip(_lowerCamelCase		,_lowerCamelCase	) if ca != ca]	) // 2
					)

					if not match_count:
										_a	:    Optional[Any]         =		0.0
					else:
										_a	:    Optional[Any]         =		(
										    1
										    / 3
										    * (
										        match_count / len(_lowerCamelCase	)
										        + match_count / len(_lowerCamelCase	)
										        + (match_count - transpositions) / match_count
										    )
										)

					# common prefix up to 4 characters
					_a	:    List[Any]         =		0
					for ca, ca in zip(stra[:4]		,stra[:4]	):
										if ca == ca:
															prefix_len += 1
										else:
															break

					return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			print(jaro_winkler('''hello''', '''world'''))





from PIL import Image




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			Image						,  _lowerCamelCase :			int)					->    Image:






							'''simple docstring'''





							__UpperCamelCase	:   str			   =					(259 * (level + 255)) / (255 * (259 - level))

							def contrast(_lowerCamelCase :			int) -> int:
														return int(128 + factor * (c - 128))

							return img.point(_lowerCamelCase)


if __name__ == "__main__":
		# Load image
		with Image.open('image_data/lena.jpg') as img:
				# Change contrast to 170
				lowercase  :					Tuple													=       change_contrast(img, 170)
				cont_img.save('image_data/lena_high_contrast.png', format='png')