



import re
from pathlib import Path
from unittest import TestCase

import pytest



@pytest.mark.integration
class  lowerCamelCase__    (							lowerCamelCase__):




		'''simple docstring'''



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    int:

						"""simple docstring"""






						with open(__lowerCamelCase	,encoding='''utf-8'''				) as input_file:
										lowerCAmelCase__  :       int				=  re.compile(R'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'''				)
										lowerCAmelCase__  :       Any				=  input_file.read()
										lowerCAmelCase__  :       Any				=  regexp.search(__lowerCamelCase				)

						return match



		def 	lowerCAmelCase__   (self	,__lowerCamelCase				)  ->    Any:

						"""simple docstring"""






						with open(__lowerCamelCase	,encoding='''utf-8'''				) as input_file:
										lowerCAmelCase__  :       List[Any]				=  re.compile(R'''#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()'''	,re.DOTALL				)
										lowerCAmelCase__  :       Any				=  input_file.read()
										# use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
										lowerCAmelCase__  :       Tuple				=  regexp.finditer(__lowerCamelCase				)

						lowerCAmelCase__  :       Union[str, Any]				=  [match for match in matches if match is not None and match.group(1				) is not None]
						return matches[0] if matches else None



		def 	lowerCAmelCase__   (self				)  ->    Union[str, Any]:

						"""simple docstring"""






						lowerCAmelCase__  :       Any				=  Path('''./datasets'''				)
						lowerCAmelCase__  :       Tuple				=  list(dataset_paths.absolute().glob('''**/*.py'''				)				)

						for dataset in dataset_files:
										if self._no_encoding_on_file_open(str(__lowerCamelCase				)				):
														raise AssertionError(f"""open(...) must use utf-8 encoding in {dataset}"""				)



		def 	lowerCAmelCase__   (self				)  ->    str:

						"""simple docstring"""






						lowerCAmelCase__  :       Tuple				=  Path('''./datasets'''				)
						lowerCAmelCase__  :       int				=  list(dataset_paths.absolute().glob('''**/*.py'''				)				)

						for dataset in dataset_files:
										if self._no_print_statements(str(__lowerCamelCase				)				):
														raise AssertionError(f"""print statement found in {dataset}. Use datasets.logger/logging instead."""				)






from bisect import bisect
from itertools import accumulate






def 			lowerCAmelCase__	(					lowerCamelCase_	:	List[str] ,lowerCamelCase_	:	Optional[Any] ,lowerCamelCase_	:	List[str] ,lowerCamelCase_	:	Optional[int]):





				'''simple docstring'''

				lowerCAmelCase__  :       Any				=  sorted(zip(lowerCamelCase_ ,lowerCamelCase_) ,key=lambda lowerCamelCase_: x[0] / x[1] ,reverse=lowerCamelCase_)
				lowerCAmelCase__		,	lowerCAmelCase__  :       List[str]				=  [i[0] for i in r], [i[1] for i in r]
				lowerCAmelCase__  :       Tuple				=  list(accumulate(lowerCamelCase_))
				lowerCAmelCase__  :       str				=  bisect(lowerCamelCase_ ,lowerCamelCase_)
				return (
				    0
				    if k == 0
				    else sum(vl[:k]) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
				    if k != n
				    else sum(vl[:k])
				)


if __name__ == "__main__":
							import doctest

							doctest.testmod()

