
"""simple docstring"""







from bisect import bisect
from itertools import accumulate
def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase	,  _UpperCamelCase	,  _UpperCamelCase		):
	__lowerCAmelCase      :						Optional[int]						      =				sorted(zip(_UpperCamelCase	,  _UpperCamelCase		)	,  key=lambda _UpperCamelCase		: x[0] / x[1]	,  reverse=_UpperCamelCase		)
	__lowerCAmelCase      ,       __lowerCAmelCase      :						str						      =				[i[0] for i in r], [i[1] for i in r]
	__lowerCAmelCase      :						Dict						      =				list(accumulate(_UpperCamelCase		)		)
	__lowerCAmelCase      :						str						      =				bisect(_UpperCamelCase	,  _UpperCamelCase		)
	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()

"""simple docstring"""







import pytest

import datasets.config
from datasets.utils.info_utils import is_small_dataset
@pytest.mark.parametrize('dataset_size'	,  [None, 400 * 2**20, 600 * 2**20]		)
@pytest.mark.parametrize('input_in_memory_max_size'	,  ['default', 0, 100 * 2**20, 900 * 2**20]		)
def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase	,  _UpperCamelCase		):
	if input_in_memory_max_size != "default":
		monkeypatch.setattr(datasets.config	,  'IN_MEMORY_MAX_SIZE'	,  _UpperCamelCase		)
	__lowerCAmelCase      :						Union[str, Any]						      =				datasets.config.IN_MEMORY_MAX_SIZE
	if input_in_memory_max_size == "default":
		assert in_memory_max_size == 0
	else:
		assert in_memory_max_size == input_in_memory_max_size
	if dataset_size and in_memory_max_size:
		__lowerCAmelCase      :						Tuple						      =				dataset_size < in_memory_max_size
	else:
		__lowerCAmelCase      :						str						      =				False
	__lowerCAmelCase      :						Optional[int]						      =				is_small_dataset(_UpperCamelCase		)
	assert result == expected