






'''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 					lowercase_ (    __snake_case     :							Union[str, Any]	,	__snake_case     :							Union[str, Any]      )     -> Optional[Any]:





				'''simple docstring'''


				snake_case__      :str         =   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}}"      )
				snake_case__      :int         =   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 					lowercase_ (    __snake_case     :							str	,	__snake_case     :							Optional[Any]      )     -> Any:





				'''simple docstring'''


				snake_case__      :Union[str, Any]         =   str(lowerCamelCase__      )
				dataset_info.write_to_directory(lowerCamelCase__      )
				snake_case__      :Tuple         =   DatasetInfo.from_directory(lowerCamelCase__      )
				assert dataset_info == reloaded
				assert os.path.exists(os.path.join(lowerCamelCase__	,	"dataset_info.json"      )      )





def 					lowercase_ (    )     -> Any:





				'''simple docstring'''


				snake_case__      :Optional[int]         =   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	,	)
				snake_case__      :Tuple         =   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)      )
				snake_case__      :Union[str, Any]         =   yaml.safe_dump(lowerCamelCase__      )
				snake_case__      :Optional[int]         =   yaml.safe_load(lowerCamelCase__      )
				assert dataset_info_yaml_dict == reloaded





def 					lowercase_ (    )     -> List[Any]:





				'''simple docstring'''


				snake_case__      :int         =   DatasetInfo()
				snake_case__      :List[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=13_37      ),
            }      ),
    ]	,	)
def 					lowercase_ (    __snake_case     :							Union[str, Any]	,	__snake_case     :							Dict      )     -> Union[str, Any]:





				'''simple docstring'''


				snake_case__      :int         =   str(lowerCamelCase__      )
				dataset_infos_dict.write_to_directory(lowerCamelCase__      )
				snake_case__      :str         =   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():
								snake_case__      :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
								snake_case__      :List[Any]         =   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"      )      )







import os

try:
	from .build_directory_md import good_file_paths
except ImportError:
	from build_directory_md import good_file_paths  # type: ignore

__UpperCAmelCase							:   List[Any]							=  list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

__UpperCAmelCase							:   int							=  [file for file in filepaths if file != file.lower()]
if upper_files:
	print(F'''{len(upper_files)} files contain uppercase characters:''')
	print("\n".join(upper_files) + "\n")

__UpperCAmelCase							:   Any							=  [file for file in filepaths if " " in file]
if space_files:
	print(F'''{len(space_files)} files contain space characters:''')
	print("\n".join(space_files) + "\n")

__UpperCAmelCase							:   str							=  [file for file in filepaths if "-" in file]
if hyphen_files:
	print(F'''{len(hyphen_files)} files contain hyphen characters:''')
	print("\n".join(hyphen_files) + "\n")

__UpperCAmelCase							:   Dict							=  [file for file in filepaths if os.sep not in file]
if nodir_files:
	print(F'''{len(nodir_files)} files are not in a directory:''')
	print("\n".join(nodir_files) + "\n")

__UpperCAmelCase							:   int							=  len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
	import sys

	sys.exit(bad_files)