






'''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,
)


lowerCAmelCase__          =						pytest.mark.integration







@pytest.mark.parametrize('path'     ,      ['paws', 'csv'])
def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_)							->     List[str]:
		inspect_dataset(lowerCamelCase_     ,      lowerCamelCase_)
		UpperCamelCase__				:					str					=					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       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_)							->     Optional[Any]:
		inspect_metric(lowerCamelCase_     ,      lowerCamelCase_)
		UpperCamelCase__				:					int					=					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       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     Union[str, Any]:
		UpperCamelCase__				:					Optional[Any]					=					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       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     Optional[int]:
		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       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_)							->     Tuple:
		UpperCamelCase__				:					Any					=					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       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     Optional[Any]:
		UpperCamelCase__				:					Union[str, Any]					=					get_dataset_infos(lowerCamelCase_)
		assert list(infos.keys()) == expected_configs
		UpperCamelCase__				:					Tuple					=					expected_configs[0]
		assert expected_config in infos
		UpperCamelCase__				:					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       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     Optional[Any]:
		UpperCamelCase__				:					str					=					get_dataset_infos(lowerCamelCase_)
		assert expected_config in infos
		UpperCamelCase__				:					Union[str, Any]					=					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       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)							->     Tuple:
		with pytest.raises(lowerCamelCase_):
				get_dataset_split_names(lowerCamelCase_     ,      config_name=lowerCamelCase_)












'''simple docstring'''




from ..utils import DummyObject, requires_backends







class       __lowercase					(metaclass=__lowerCamelCase    ):
	_lowerCamelCase              =  ['''torch''', '''scipy''']

	def __init__(      self   :						List[Any]  ,					*UpperCAmelCase_   :						Any  ,					**UpperCAmelCase_   :						int):
			requires_backends(self  ,					['torch', 'scipy'])

	@classmethod
	def      __UpperCamelCase							(      cls   :						Union[str, Any]  ,					*UpperCAmelCase_   :						Any  ,					**UpperCAmelCase_   :						List[Any]):
			requires_backends(cls  ,					['torch', 'scipy'])





	@classmethod
	def      __UpperCamelCase							(      cls   :						Union[str, Any]  ,					*UpperCAmelCase_   :						Optional[Any]  ,					**UpperCAmelCase_   :						Any):
			requires_backends(cls  ,					['torch', 'scipy'])




