

'''simple docstring'''



import os

import pytest
import yaml

from datasets.features.features import Features, Value
from datasets.info import DatasetInfo, DatasetInfosDict


@pytest.mark.parametrize(
    'files'					,		[
        ['full:README.md', 'dataset_infos.json'],
        ['empty:README.md', 'dataset_infos.json'],
        ['dataset_infos.json'],
        ['full:README.md'],
    ]					,		)
def       snake_case   (	snake_case      : str					,		snake_case      : Any			) ->  Any:


    """simple docstring"""


    lowerCAmelCase 						=							tmp_path_factory.mktemp('dset_infos_dir'			)
    if "full:README.md" in files:
        with open(dataset_infos_dir / 'README.md'					,		'w'			) as f:
            f.write('---\ndataset_info:\n  dataset_size: 42\n---'			)
    if "empty:README.md" in files:
        with open(dataset_infos_dir / 'README.md'					,		'w'			) as f:
            f.write(''			)
    # we want to support dataset_infos.json for backward compatibility
    if "dataset_infos.json" in files:
        with open(dataset_infos_dir / 'dataset_infos.json'					,		'w'			) as f:
            f.write('{"default": {"dataset_size": 42}}'			)
    lowerCAmelCase 						=							DatasetInfosDict.from_directory(snake_case			)
    assert dataset_infos
    assert dataset_infos["default"].dataset_size == 42


@pytest.mark.parametrize(
    'dataset_info'					,		[
        DatasetInfo(),
        DatasetInfo(
            description='foo'					,		features=Features({'a': Value('int32'			)}			)					,		builder_name='builder'					,		config_name='config'					,		version='1.0.0'					,		splits=[{'name': 'train'}]					,		download_size=42					,		),
    ]					,		)
def       snake_case   (	snake_case      : Tuple					,		snake_case      : DatasetInfo			) ->  int:


    """simple docstring"""


    lowerCAmelCase 						=							str(snake_case			)
    dataset_info.write_to_directory(snake_case			)
    lowerCAmelCase 						=							DatasetInfo.from_directory(snake_case			)
    assert dataset_info == reloaded
    assert os.path.exists(os.path.join(snake_case					,		'dataset_info.json'			)			)


def       snake_case   (	) ->  Optional[Any]:


    """simple docstring"""


    lowerCAmelCase 						=							DatasetInfo(
        description='foo'					,		citation='bar'					,		homepage='https://foo.bar'					,		license='CC0'					,		features=Features({'a': Value('int32'			)}			)					,		post_processed={}					,		supervised_keys=()					,		task_templates=[]					,		builder_name='builder'					,		config_name='config'					,		version='1.0.0'					,		splits=[{'name': 'train', 'num_examples': 42}]					,		download_checksums={}					,		download_size=1337					,		post_processing_size=442					,		dataset_size=1234					,		size_in_bytes=1337 + 442 + 1234					,		)
    lowerCAmelCase 						=							dataset_info._to_yaml_dict()
    assert sorted(snake_case			) == sorted(DatasetInfo._INCLUDED_INFO_IN_YAML			)
    for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
        assert key in dataset_info_yaml_dict
        assert isinstance(dataset_info_yaml_dict[key]					,		(list, dict, int, str)			)
    lowerCAmelCase 						=							yaml.safe_dump(snake_case			)
    lowerCAmelCase 						=							yaml.safe_load(snake_case			)
    assert dataset_info_yaml_dict == reloaded


def       snake_case   (	) ->  Optional[Any]:


    """simple docstring"""


    lowerCAmelCase 						=							DatasetInfo()
    lowerCAmelCase 						=							dataset_info._to_yaml_dict()
    assert dataset_info_yaml_dict == {}


@pytest.mark.parametrize(
    'dataset_infos_dict'					,		[
        DatasetInfosDict(),
        DatasetInfosDict({'default': DatasetInfo()}			),
        DatasetInfosDict({'my_config_name': DatasetInfo()}			),
        DatasetInfosDict(
            {
                'default': DatasetInfo(
                    description='foo'					,		features=Features({'a': Value('int32'			)}			)					,		builder_name='builder'					,		config_name='config'					,		version='1.0.0'					,		splits=[{'name': 'train'}]					,		download_size=42					,		)
            }			),
        DatasetInfosDict(
            {
                'v1': DatasetInfo(dataset_size=42			),
                'v2': DatasetInfo(dataset_size=1337			),
            }			),
    ]					,		)
def       snake_case   (	snake_case      : Tuple					,		snake_case      : DatasetInfosDict			) ->  Optional[int]:


    """simple docstring"""


    lowerCAmelCase 						=							str(snake_case			)
    dataset_infos_dict.write_to_directory(snake_case			)
    lowerCAmelCase 						=							DatasetInfosDict.from_directory(snake_case			)

    # the config_name of the dataset_infos_dict take over the attribute
    for config_name, dataset_info in dataset_infos_dict.items():
        lowerCAmelCase 						=							config_name
        # the yaml representation doesn't include fields like description or citation
        # so we just test that we can recover what we can from the yaml
        lowerCAmelCase 						=							DatasetInfo._from_yaml_dict(dataset_info._to_yaml_dict()			)
    assert dataset_infos_dict == reloaded

    if dataset_infos_dict:
        assert os.path.exists(os.path.join(snake_case					,		'README.md'			)			)








'''simple docstring'''



def       snake_case   (	snake_case      : list					,		snake_case      : list					,		snake_case      : int					,		snake_case      : int					,		snake_case      : int			) ->  int:


    """simple docstring"""


    if index == number_of_items:
        return 0
    lowerCAmelCase 						=							0
    lowerCAmelCase 						=							0
    lowerCAmelCase 						=							knapsack(snake_case					,		snake_case					,		snake_case					,		snake_case					,		index + 1			)
    if weights[index] <= max_weight:
        lowerCAmelCase 						=							values[index] + knapsack(
            snake_case					,		snake_case					,		snake_case					,		max_weight - weights[index]					,		index + 1			)
    return max(snake_case					,		snake_case			)


if __name__ == "__main__":
     import doctest

     doctest.testmod()





