




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 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				__magic_name__	:	List[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}}"""   )
				__magic_name__	:	Optional[Any]								=DatasetInfosDict.from_directory(lowerCAmelCase__   )
				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 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				__magic_name__	:	Optional[Any]								=str(lowerCAmelCase__   )
				dataset_info.write_to_directory(lowerCAmelCase__   )
				__magic_name__	:	Optional[Any]								=DatasetInfo.from_directory(lowerCAmelCase__   )
				assert dataset_info == reloaded
				assert os.path.exists(os.path.join(lowerCAmelCase__	,     """dataset_info.json"""   )   )




def 		lowerCAmelCase_   (	):
				__magic_name__	:	Dict								=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	,     )
				__magic_name__	:	Optional[Any]								=dataset_info._to_yaml_dict()
				assert sorted(lowerCAmelCase__   ) == 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)   )
				__magic_name__	:	int								=yaml.safe_dump(lowerCAmelCase__   )
				__magic_name__	:	Optional[Any]								=yaml.safe_load(lowerCAmelCase__   )
				assert dataset_info_yaml_dict == reloaded




def 		lowerCAmelCase_   (	):
				__magic_name__	:	Any								=DatasetInfo()
				__magic_name__	:	str								=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 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				__magic_name__	:	List[str]								=str(lowerCAmelCase__   )
				dataset_infos_dict.write_to_directory(lowerCAmelCase__   )
				__magic_name__	:	Optional[int]								=DatasetInfosDict.from_directory(lowerCAmelCase__   )

				# the config_name of the dataset_infos_dict take over the attribute
				for config_name, dataset_info in dataset_infos_dict.items():
								__magic_name__	:	List[str]								=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
								__magic_name__	:	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(lowerCAmelCase__	,     """README.md"""   )   )










from math import pow, sqrt




def 		lowerCAmelCase_   (	*lowerCamelCase   ):
				__magic_name__	:	Tuple								=len(lowerCamelCase   ) > 0 and all(value > 0.0 for value in values   )
				return result




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(sqrt(molar_mass_a / molar_mass_a   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase   )
				    else ValueError("""Input Error: Molar mass values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(effusion_rate * sqrt(molar_mass_a / molar_mass_a   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(effusion_rate / sqrt(molar_mass_a / molar_mass_a   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(molar_mass / pow(effusion_rate_a / effusion_rate_a	,     2   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(pow(effusion_rate_a / effusion_rate_a	,     2   ) / molar_mass	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




