



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,
)


_lowercase: Dict      			=		pytest.mark.integration






@pytest.mark.parametrize("path" ,     ["paws", "csv"]       )
def     a(      A       :    str ,     A       :    Tuple       )		->       List[Any]:
					"""simple docstring"""





					inspect_dataset(A ,     A       )
					a					     =   path + ".py"
					assert script_name in os.listdir(A       )
					assert "__pycache__" not in os.listdir(A       )






@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     a(      A       :    List[Any] ,     A       :    Optional[int]       )		->       Optional[Any]:
					"""simple docstring"""





					inspect_metric(A ,     A       )
					a					     =   path + ".py"
					assert script_name in os.listdir(A       )
					assert "__pycache__" not in os.listdir(A       )






@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     a(      A       :    Optional[Any] ,     A       :    Optional[int] ,     A       :    Any       )		->       List[Any]:
					"""simple docstring"""





					a					     =   get_dataset_config_info(A ,     config_name=A       )
					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     a(      A       :    Dict ,     A       :    Tuple ,     A       :    int       )		->       Tuple:
					"""simple docstring"""





					with pytest.raises(A       ):
										get_dataset_config_info(A ,     config_name=A       )






@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     a(      A       :    List[str] ,     A       :    Any       )		->       Optional[int]:
					"""simple docstring"""





					a					     =   get_dataset_config_names(A       )
					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     a(      A       :    Tuple ,     A       :    Any ,     A       :    Optional[int]       )		->       Dict:
					"""simple docstring"""





					a					     =   get_dataset_infos(A       )
					assert list(infos.keys()       ) == expected_configs
					a					     =   expected_configs[0]
					assert expected_config in infos
					a					     =   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     a(      A       :    List[Any] ,     A       :    Dict ,     A       :    Tuple       )		->       Any:
					"""simple docstring"""





					a					     =   get_dataset_infos(A       )
					assert expected_config in infos
					a					     =   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     a(      A       :    List[str] ,     A       :    str ,     A       :    Tuple       )		->       Dict:
					"""simple docstring"""





					with pytest.raises(A       ):
										get_dataset_split_names(A ,     config_name=A       )





_lowercase: Dict      			=		[
    (1000, "M"),
    (900, "CM"),
    (500, "D"),
    (400, "CD"),
    (100, "C"),
    (90, "XC"),
    (50, "L"),
    (40, "XL"),
    (10, "X"),
    (9, "IX"),
    (5, "V"),
    (4, "IV"),
    (1, "I"),
]






def     a(      A       :    str       )		->       int:
					"""simple docstring"""





					a					     =   {"I": 1, "V": 5, "X": 10, "L": 50, "C": 100, "D": 500, "M": 1000}
					a					     =   0
					a					     =   0
					while place < len(A       ):
										if (place + 1 < len(A       )) and (vals[roman[place]] < vals[roman[place + 1]]):
															total += vals[roman[place + 1]] - vals[roman[place]]
															place += 2
										else:
															total += vals[roman[place]]
															place += 1
					return total






def     a(      A       :    int       )		->       str:
					"""simple docstring"""





					a					     =   []
					for arabic, roman in ROMAN:
										((a)     ,				(a))					     =   divmod(A ,     A       )
										result.append(roman * factor       )
										if number == 0:
															break
					return "".join(A       )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
