





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       UpperCamelCase__(			UpperCamelCase__     :			str					,	UpperCamelCase__     :			List[Any]    )->Tuple:
       A__		   =		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}}'''    )
       A__		   =		DatasetInfosDict.from_directory(UpperCamelCase__    )
       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       UpperCamelCase__(			UpperCamelCase__     :			Dict					,	UpperCamelCase__     :			DatasetInfo    )->List[Any]:
       A__		   =		str(UpperCamelCase__    )
       dataset_info.write_to_directory(UpperCamelCase__    )
       A__		   =		DatasetInfo.from_directory(UpperCamelCase__    )
       assert dataset_info == reloaded
       assert os.path.exists(os.path.join(UpperCamelCase__					,	'''dataset_info.json'''    )    )


def       UpperCamelCase__(			)->List[Any]:
       A__		   =		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=13_37					,	post_processing_size=4_42					,	dataset_size=12_34					,	size_in_bytes=13_37 + 4_42 + 12_34					,	)
       A__		   =		dataset_info._to_yaml_dict()
       assert sorted(UpperCamelCase__    ) == 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)    )
       A__		   =		yaml.safe_dump(UpperCamelCase__    )
       A__		   =		yaml.safe_load(UpperCamelCase__    )
       assert dataset_info_yaml_dict == reloaded


def       UpperCamelCase__(			)->str:
       A__		   =		DatasetInfo()
       A__		   =		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=13_37    ),
            }    ),
    ]					,	)
def       UpperCamelCase__(			UpperCamelCase__     :			Dict					,	UpperCamelCase__     :			DatasetInfosDict    )->Union[str, Any]:
       A__		   =		str(UpperCamelCase__    )
       dataset_infos_dict.write_to_directory(UpperCamelCase__    )
       A__		   =		DatasetInfosDict.from_directory(UpperCamelCase__    )

       # the config_name of the dataset_infos_dict take over the attribute
       for config_name, dataset_info in dataset_infos_dict.items():
              A__		   =		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
              A__		   =		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(UpperCamelCase__					,	'''README.md'''    )    )












def       UpperCamelCase__(			UpperCamelCase__     :			str					,	UpperCamelCase__     :			str    )->str:
       assert x is not None
       assert y is not None

       A__		   =		len(UpperCamelCase__    )
       A__		   =		len(UpperCamelCase__    )

       # declaring the array for storing the dp values
       A__		   =		[[0] * (n + 1) for _ in range(m + 1    )]  # noqa: E741

       for i in range(1					,	m + 1    ):
              for j in range(1					,	n + 1    ):
                     A__		   =		1 if x[i - 1] == y[j - 1] else 0

                     A__		   =		max(l[i - 1][j]					,	l[i][j - 1]					,	l[i - 1][j - 1] + match    )

       A__		   =		''''''
       A__   ,      A__		   =		m, n
       while i > 0 and j > 0:
              A__		   =		1 if x[i - 1] == y[j - 1] else 0

              if l[i][j] == l[i - 1][j - 1] + match:
                     if match == 1:
                            A__		   =		x[i - 1] + seq
                     i -= 1
                     j -= 1
              elif l[i][j] == l[i - 1][j]:
                     i -= 1
              else:
                     j -= 1

       return l[m][n], seq


if __name__ == "__main__":
       a__: Tuple							   =						'AGGTAB'
       a__: Tuple							   =						'GXTXAYB'
       a__: List[Any]							   =						4
       a__: Optional[Any]							   =						'GTAB'

       a__   ,     a__: List[str]							   =						longest_common_subsequence(a, b)
       print('len =', ln, ', sub-sequence =', subseq)
       import doctest

       doctest.testmod()





