
'''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_		(				__SCREAMING_SNAKE_CASE					: Optional[int]      ,      __SCREAMING_SNAKE_CASE					: str							):



						"""simple docstring"""





						lowercase_	:     Union[str, Any]													=       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}}'''							)
						lowercase_	:     Optional[int]													=       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_		(				__SCREAMING_SNAKE_CASE					: List[Any]      ,      __SCREAMING_SNAKE_CASE					: Tuple							):



						"""simple docstring"""





						lowercase_	:     Optional[Any]													=       str(snake_case__							)
						dataset_info.write_to_directory(snake_case__							)
						lowercase_	:     Optional[Any]													=       DatasetInfo.from_directory(snake_case__							)
						assert dataset_info == reloaded
						assert os.path.exists(os.path.join(snake_case__      ,      '''dataset_info.json'''							)							)
def 					snake_case_		(				):



						"""simple docstring"""





						lowercase_	:     str													=       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      ,      )
						lowercase_	:     str													=       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)							)
						lowercase_	:     Optional[Any]													=       yaml.safe_dump(snake_case__							)
						lowercase_	:     Optional[int]													=       yaml.safe_load(snake_case__							)
						assert dataset_info_yaml_dict == reloaded
def 					snake_case_		(				):



						"""simple docstring"""





						lowercase_	:     str													=       DatasetInfo()
						lowercase_	:     Tuple													=       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_		(				__SCREAMING_SNAKE_CASE					: Any      ,      __SCREAMING_SNAKE_CASE					: Union[str, Any]							):



						"""simple docstring"""





						lowercase_	:     Tuple													=       str(snake_case__							)
						dataset_infos_dict.write_to_directory(snake_case__							)
						lowercase_	:     Tuple													=       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():
												lowercase_	:     Dict													=       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
												lowercase_	:     List[str]													=       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 		lowerCAmelCase_				(   snake_case__ = 10						):




    '''simple docstring'''



    if not isinstance(snake_case__		,				snake_case__						) or n < 0:
        raise ValueError('''Invalid input'''						)
    A       :   List[str]					=						10**n
    A       :   Tuple					=						2_8433 * (pow(2		,				783_0457		,				snake_case__						)) + 1
    return str(number % modulus						)


if __name__ == "__main__":
      from doctest import testmod

      testmod()
      print(f'''{solution(10) = }''')




