'''simple docstring'''





import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


UpperCAmelCase_			    =							pytest.mark.integration




@pytest.mark.parametrize('''path'''  ,					['''paws''', '''csv''']		)
def       lowerCAmelCase_     (		lowercase:							Optional[int]  ,					lowercase:							Optional[int]		)    ->				Optional[Any]:







 '''simple docstring'''
 inspect_dataset(lowerCAmelCase__  ,					lowerCAmelCase__		)
 _UpperCamelCase:     int							= path + '''.py'''
 assert script_name in os.listdir(lowerCAmelCase__		)
 assert "__pycache__" not in os.listdir(lowerCAmelCase__		)




@pytest.mark.filterwarnings('''ignore:inspect_metric is deprecated:FutureWarning'''		)
@pytest.mark.filterwarnings('''ignore:metric_module_factory is deprecated:FutureWarning'''		)
@pytest.mark.parametrize('''path'''  ,					['''accuracy''']		)
def       lowerCAmelCase_     (		lowercase:							Any  ,					lowercase:							int		)    ->				List[str]:







 '''simple docstring'''
 inspect_metric(lowerCAmelCase__  ,					lowerCAmelCase__		)
 _UpperCamelCase:     str							= path + '''.py'''
 assert script_name in os.listdir(lowerCAmelCase__		)
 assert "__pycache__" not in os.listdir(lowerCAmelCase__		)




@pytest.mark.parametrize(
    '''path, config_name, expected_splits'''  ,					[
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]  ,					)
def       lowerCAmelCase_     (		lowercase:							Dict  ,					lowercase:							List[Any]  ,					lowercase:							Any		)    ->				List[str]:







 '''simple docstring'''
 _UpperCamelCase:     int							= get_dataset_config_info(lowerCAmelCase__  ,					config_name=lowerCAmelCase__		)
 assert info.config_name == config_name
 assert list(info.splits.keys()		) == expected_splits




@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''  ,					[
        ('''paws''', None, ValueError),
    ]  ,					)
def       lowerCAmelCase_     (		lowercase:							Tuple  ,					lowercase:							List[Any]  ,					lowercase:							List[Any]		)    ->				Optional[Any]:







 '''simple docstring'''
 with pytest.raises(lowerCAmelCase__		):
  get_dataset_config_info(lowerCAmelCase__  ,					config_name=lowerCAmelCase__		)




@pytest.mark.parametrize(
    '''path, expected'''  ,					[
        ('''squad''', '''plain_text'''),
        ('''acronym_identification''', '''default'''),
        ('''lhoestq/squad''', '''plain_text'''),
        ('''lhoestq/test''', '''default'''),
        ('''lhoestq/demo1''', '''lhoestq--demo1'''),
        ('''dalle-mini/wit''', '''dalle-mini--wit'''),
    ]  ,					)
def       lowerCAmelCase_     (		lowercase:							int  ,					lowercase:							Union[str, Any]		)    ->				List[Any]:







 '''simple docstring'''
 _UpperCamelCase:     Dict							= get_dataset_config_names(lowerCAmelCase__		)
 assert expected in config_names




@pytest.mark.parametrize(
    '''path, expected_configs, expected_splits_in_first_config'''  ,					[
        ('''squad''', ['''plain_text'''], ['''train''', '''validation''']),
        ('''dalle-mini/wit''', ['''dalle-mini--wit'''], ['''train''']),
        ('''paws''', ['''labeled_final''', '''labeled_swap''', '''unlabeled_final'''], ['''train''', '''test''', '''validation''']),
    ]  ,					)
def       lowerCAmelCase_     (		lowercase:							List[Any]  ,					lowercase:							Dict  ,					lowercase:							Union[str, Any]		)    ->				List[str]:







 '''simple docstring'''
 _UpperCamelCase:     str							= get_dataset_infos(lowerCAmelCase__		)
 assert list(infos.keys()		) == expected_configs
 _UpperCamelCase:     Union[str, Any]							= expected_configs[0]
 assert expected_config in infos
 _UpperCamelCase:     Dict							= infos[expected_config]
 assert info.config_name == expected_config
 assert list(info.splits.keys()		) == expected_splits_in_first_config




@pytest.mark.parametrize(
    '''path, expected_config, expected_splits'''  ,					[
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]  ,					)
def       lowerCAmelCase_     (		lowercase:							Tuple  ,					lowercase:							Tuple  ,					lowercase:							Union[str, Any]		)    ->				List[str]:







 '''simple docstring'''
 _UpperCamelCase:     str							= get_dataset_infos(lowerCAmelCase__		)
 assert expected_config in infos
 _UpperCamelCase:     Tuple							= infos[expected_config]
 assert info.config_name == expected_config
 assert list(info.splits.keys()		) == expected_splits





@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''  ,					[
        ('''paws''', None, ValueError),
    ]  ,					)
def       lowerCAmelCase_     (		lowercase:							Optional[int]  ,					lowercase:							Optional[Any]  ,					lowercase:							Any		)    ->				Optional[Any]:







 '''simple docstring'''
 with pytest.raises(lowerCAmelCase__		):
  get_dataset_split_names(lowerCAmelCase__  ,					config_name=lowerCAmelCase__		)
import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict




@pytest.mark.parametrize(
    '''split_dict'''  ,					[
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train'''  ,					num_bytes=1_337  ,					num_examples=42  ,					dataset_name='''my_dataset'''		)}		),
        SplitDict({'''train''': SplitInfo(name='''train'''  ,					num_bytes=1_337  ,					num_examples=42		)}		),
        SplitDict({'''train''': SplitInfo()}		),
    ]  ,					)
def       lowerCAmelCase_     (		lowercase:							SplitDict		)    ->				List[str]:







 '''simple docstring'''
 _UpperCamelCase:     List[str]							= split_dict._to_yaml_list()
 assert len(lowercase		) == len(lowercase		)
 _UpperCamelCase:     Tuple							= SplitDict._from_yaml_list(lowercase		)
 for split_name, split_info in split_dict.items():
  # dataset_name field is deprecated, and is therefore not part of the YAML dump
  _UpperCamelCase:     Optional[Any]							= None
  # the split name of split_dict takes over the name of the split info object
  _UpperCamelCase:     Any							= split_name
 assert split_dict == reloaded





@pytest.mark.parametrize(
    '''split_info'''  ,					[SplitInfo(), SplitInfo(dataset_name=lowercase		), SplitInfo(dataset_name='''my_dataset'''		)]		)
def       lowerCAmelCase_     (		lowercase:							str		)    ->				Tuple:







 '''simple docstring'''
 # For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
 # field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
 _UpperCamelCase:     Optional[Any]							= asdict(SplitDict({'''train''': split_info}		)		)
 assert "dataset_name" in split_dict_asdict["train"]
 assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name