def test_stoptrain_result1(self):
"""Test that stop_result is handled correctly."""
stop_result = ({"test": 0}, 1)
bi_sfa_node = SFABiNode(stop_result=stop_result, node_id="testing binode")
assert bi_sfa_node.is_trainable()
x = n.random.random((100, 10))
train_result = bi_sfa_node.train(x)
assert train_result == None
assert bi_sfa_node.is_training()
result = bi_sfa_node.stop_training()
assert result == (None,) + stop_result
assert bi_sfa_node.input_dim == 10
assert bi_sfa_node.output_dim == 10
assert bi_sfa_node.dtype == "float64"
def test_stoptrain_result1(self):
"""Test that stop_result is handled correctly."""
stop_result = ({"test": 0}, 1)
bi_sfa_node = SFABiNode(stop_result=stop_result,
node_id="testing binode")
assert bi_sfa_node.is_trainable()
x = n.random.random((100,10))
train_result = bi_sfa_node.train(x)
assert train_result is None
assert bi_sfa_node.is_training()
result = bi_sfa_node.stop_training()
assert result == (None,) + stop_result
assert bi_sfa_node.input_dim == 10
assert bi_sfa_node.output_dim == 10
assert bi_sfa_node.dtype == "float64"
