



'''simple docstring'''




import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict


@pytest.mark.parametrize(
    """split_dict"""       ,      [
        SplitDict(),
        SplitDict({"""train""": SplitInfo(name="""train"""       ,      num_bytes=13_37       ,      num_examples=42       ,      dataset_name="""my_dataset"""					)}					),
        SplitDict({"""train""": SplitInfo(name="""train"""       ,      num_bytes=13_37       ,      num_examples=42					)}					),
        SplitDict({"""train""": SplitInfo()}					),
    ]       ,      )
def 				lowerCAmelCase_   (	_lowerCamelCase:   SplitDict					):
		__SCREAMING_SNAKE_CASE       :		List[str]           =		split_dict._to_yaml_list()
		assert len(_lowerCamelCase					) == len(_lowerCamelCase					)
		__SCREAMING_SNAKE_CASE       :		Any           =		SplitDict._from_yaml_list(_lowerCamelCase					)
		for split_name, split_info in split_dict.items():
				# dataset_name field is deprecated, and is therefore not part of the YAML dump
				__SCREAMING_SNAKE_CASE       :		List[Any]           =		None
				# the split name of split_dict takes over the name of the split info object
				__SCREAMING_SNAKE_CASE       :		Dict           =		split_name
		assert split_dict == reloaded


@pytest.mark.parametrize(
    """split_info"""       ,      [SplitInfo(), SplitInfo(dataset_name=_lowerCamelCase					), SplitInfo(dataset_name="""my_dataset"""					)]					)
def 				lowerCAmelCase_   (	_lowerCamelCase:   List[str]					):
		# For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
		# field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
		__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		asdict(SplitDict({"""train""": split_info}					)					)
		assert "dataset_name" in split_dict_asdict["train"]
		assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name




'''simple docstring'''




from __future__ import annotations


def 				lowerCAmelCase_   (	_lowerCamelCase:   list[int]       ,      _lowerCamelCase:   list[int]       ,      _lowerCamelCase:   int					):
		__SCREAMING_SNAKE_CASE       :		List[Any]           =		list(range(len(_lowerCamelCase					)					)					)
		__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		[v / w for v, w in zip(_lowerCamelCase       ,      _lowerCamelCase					)]
		index.sort(key=lambda _lowerCamelCase					: ratio[i]       ,      reverse=_lowerCamelCase					)

		__SCREAMING_SNAKE_CASE       :		float           =		0
		__SCREAMING_SNAKE_CASE       :		list[float]           =		[0] * len(_lowerCamelCase					)
		for i in index:
				if weight[i] <= capacity:
						__SCREAMING_SNAKE_CASE       :		str           =		1
						max_value += value[i]
						capacity -= weight[i]
				else:
						__SCREAMING_SNAKE_CASE       :		int           =		capacity / weight[i]
						max_value += value[i] * capacity / weight[i]
						break

		return max_value, fractions


if __name__ == "__main__":
						import doctest

						doctest.testmod()