def test_parameter_setting(param, expected):
vocab = []
mod = TorchRNNClassifier(vocab)
mod.set_params(**{param: expected})
result = getattr(mod, param)
if param == "embedding":
assert np.array_equal(result, expected)
else:
assert result == expected
def test_np_parameter_setting(param, expected):
vocab = []
mod = TorchRNNClassifier(vocab)
mod.set_params(**{param: expected})
result = getattr(mod, param)
assert result == expected