def test_delay_param_load():
"""Test that the `.load` method of `FlowDelayParameter` works correctly"""
model = Model()
model.timestepper.start = "2015/01/01"
model.timestepper.end = "2015/01/31"
catchment = Catchment(model, name="input", flow=1)
output = Output(model, name="output")
catchment.connect(output)
data = {"name": "delay", "node": "input", "days": 2}
param = FlowDelayParameter.load(model, data)
assert param.days == 2
data = {"name": "delay2", "node": "input", "timesteps": 2}
param2 = FlowDelayParameter.load(model, data)
assert param2.timesteps == 2
expected = np.concatenate([np.zeros(2), np.ones(29)]).reshape(31, 1)
AssertionRecorder(model, param, name="rec1", expected_data=expected)
AssertionRecorder(model, param2, name="rec2", expected_data=expected)
model.setup()
model.run()
def test_delay_node(key, delay, initial_flow):
"""Test that the `DelayNode` and the `FlowDelayParameter` internal to it correctly delay node for a range of inputs and
across scenarios"""
model = Model()
model.timestepper.start = "2015/01/01"
model.timestepper.end = "2015/01/31"
scen = Scenario(model, name="scenario", size=2)
flow_vals = np.arange(1, 63).reshape((31, 2), order="F")
flow = ArrayIndexedScenarioParameter(model, scen, flow_vals)
catchment = Catchment(model, name="input", flow=flow)
kwargs = {key: delay}
if initial_flow:
kwargs["initial_flow"] = initial_flow
delaynode = DelayNode(model, name="delaynode", **kwargs)
output = Output(model, name="output")
catchment.connect(delaynode)
delaynode.connect(output)
rec = NumpyArrayNodeRecorder(model, output)
model.run()
if initial_flow:
expected = np.concatenate(
[np.full((delay, 2), initial_flow), flow_vals[:-delay, :]])
else:
expected = np.concatenate(
[np.zeros((delay, 2)), flow_vals[:-delay, :]])
assert_array_almost_equal(rec.data, expected)
def test_run_empty():
# empty model should raise an exception if run
model = Model()
with pytest.raises(ModelStructureError):
model.run()
