def test_OzeEvaluation(user_name, user_password):
credentials = {'user_name': user_name, 'user_password': user_password}
dataset_x_path = npz_check(credentials=credentials)
dataset_eval = OzeEvaluationDataset(Path(dataset_x_path.parent,
'x_test_QK7dVsy.csv'),
TIME_SERIES_LENGTH,
given_labels=labels)
assert dataset_eval.get_x_shape() == (500, 672, 37)
def _get_dataset(user_name, user_password):
return OzeNPZDataset(dataset_path=npz_check(
Path('docs', 'source', 'notebooks', 'datasets'),
'dataset',
credentials=_get_credentials(user_name, user_password)))
def test_download(user_name, user_password):
credentials = {'user_name': user_name, 'user_password': user_password}
npz_check(credentials=credentials)
def test_OzeNPZDataset(user_name, user_password):
credentials = {'user_name': user_name, 'user_password': user_password}
ond = OzeNPZDataset(npz_check(credentials=credentials))
assert ond.get_x_shape() == (7500, 672, 37)
fd = ond.make_future_dataframe()
assert fd.shape == (8000, 672, 37)