

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,
)


lowerCAmelCase				:    Optional[int]        =		pytest.mark.integration







@pytest.mark.parametrize("path"							,      ["paws", "csv"]       )
def      A_ (       _UpperCAmelCase							,      _UpperCAmelCase       ):
						inspect_dataset(_A							,      _A       )
						SCREAMING_SNAKE_CASE_:					str    						=			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_ (       _UpperCAmelCase							,      _UpperCAmelCase       ):
						inspect_metric(_A							,      _A       )
						SCREAMING_SNAKE_CASE_:					str    						=			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_ (       _UpperCAmelCase							,      _UpperCAmelCase							,      _UpperCAmelCase       ):
						SCREAMING_SNAKE_CASE_:					str    						=			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_ (       _UpperCAmelCase							,      _UpperCAmelCase							,      _UpperCAmelCase       ):





						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_ (       _UpperCAmelCase							,      _UpperCAmelCase       ):
						SCREAMING_SNAKE_CASE_:					int    						=			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_ (       _UpperCAmelCase							,      _UpperCAmelCase							,      _UpperCAmelCase       ):
						SCREAMING_SNAKE_CASE_:					Tuple    						=			get_dataset_infos(_A       )
						assert list(infos.keys()       ) == expected_configs
						SCREAMING_SNAKE_CASE_:					List[Any]    						=			expected_configs[0]
						assert expected_config in infos
						SCREAMING_SNAKE_CASE_:					List[Any]    						=			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_ (       _UpperCAmelCase							,      _UpperCAmelCase							,      _UpperCAmelCase       ):
						SCREAMING_SNAKE_CASE_:					Any    						=			get_dataset_infos(_A       )
						assert expected_config in infos
						SCREAMING_SNAKE_CASE_:					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      A_ (       _UpperCAmelCase							,      _UpperCAmelCase							,      _UpperCAmelCase       ):





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












import numpy as np


def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	return (2 / (1 + np.exp(-2 * vector				))) - 1


if __name__ == "__main__":
		import doctest

		doctest.testmod()
