


'''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   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       Optional[Any]						,				_SCREAMING_SNAKE_CASE				:       Optional[int]       ) ->    Optional[int]:
					__a      :	List[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}}'       )
					__a      :	int    =  DatasetInfosDict.from_directory(_a       )
					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							(_SCREAMING_SNAKE_CASE				:       Any						,				_SCREAMING_SNAKE_CASE				:       DatasetInfo       ) ->    Optional[int]:
					__a      :	Optional[Any]    =  str(_a       )
					dataset_info.write_to_directory(_a       )
					__a      :	Tuple    =  DatasetInfo.from_directory(_a       )
					assert dataset_info == reloaded
					assert os.path.exists(os.path.join(_a						,				'dataset_info.json'       )       )






def   lowerCamelCase							() ->    Tuple:
					__a      :	List[Any]    =  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=1_337						,				post_processing_size=442						,				dataset_size=1_234						,				size_in_bytes=1_337 + 442 + 1_234						,				)
					__a      :	Optional[Any]    =  dataset_info._to_yaml_dict()
					assert sorted(_a       ) == 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      :	List[Any]    =  yaml.safe_dump(_a       )
					__a      :	Any    =  yaml.safe_load(_a       )
					assert dataset_info_yaml_dict == reloaded






def   lowerCamelCase							() ->    List[str]:
					__a      :	List[Any]    =  DatasetInfo()
					__a      :	Any    =  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=1_337       ),
            }       ),
    ]						,				)
def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_SNAKE_CASE				:       DatasetInfosDict       ) ->    List[Any]:
					__a      :	Dict    =  str(_a       )
					dataset_infos_dict.write_to_directory(_a       )
					__a      :	Any    =  DatasetInfosDict.from_directory(_a       )

					# the config_name of the dataset_infos_dict take over the attribute
					for config_name, dataset_info in dataset_infos_dict.items():
										__a      :	int    =  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      :	Optional[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(_a						,				'README.md'       )       )







'''simple docstring'''



# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__lowercase     :						Dict	=     abspath(join(dirname(dirname(dirname(__file__))), 'src'))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='ignore', category=FutureWarning)






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       Optional[Any]       ):
					from transformers.testing_utils import pytest_addoption_shared

					pytest_addoption_shared(_SCREAMING_SNAKE_CASE       )






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       List[str]       ):
					from transformers.testing_utils import pytest_terminal_summary_main

					__a      :	Any    =  terminalreporter.config.getoption('--make-reports'       )
					if make_reports:
										pytest_terminal_summary_main(_SCREAMING_SNAKE_CASE						,				id=_SCREAMING_SNAKE_CASE       )



