def test__get_cached_datasets(self, _list_cached_datasets_mock):
openml.config.set_cache_directory(self.static_cache_dir)
_list_cached_datasets_mock.return_value = [-1, 2]
datasets = _get_cached_datasets()
self.assertIsInstance(datasets, dict)
self.assertEqual(len(datasets), 2)
self.assertIsInstance(list(datasets.values())[0], OpenMLDataset)
def test__get_cached_datasets(self, _list_cached_datasets_mock):
openml.config.cache_directory = self.static_cache_dir
_list_cached_datasets_mock.return_value = [-1, 2]
datasets = _get_cached_datasets()
self.assertIsInstance(datasets, dict)
self.assertEqual(len(datasets), 2)
self.assertIsInstance(list(datasets.values())[0], OpenMLDataset)
def test__get_cached_datasets(self):
workdir = os.path.dirname(os.path.abspath(__file__))
workdir = os.path.join(workdir, "files")
openml.config.set_cache_directory(cachedir=workdir, privatedir=workdir)
datasets = _get_cached_datasets()
self.assertIsInstance(datasets, dict)
self.assertEqual(len(datasets), 2)
self.assertIsInstance(list(datasets.values())[0], OpenMLDataset)