def test_kwargs_for_export_install():
new_export_system = {"cable": {"linear_density": 50.0, "sections": [1000], "number": 1}}
new_site = {"distance": 50, "depth": 20}
new_config = deepcopy(base_config)
new_config["export_system"] = new_export_system
new_config["site"] = new_site
sim = ExportCableInstallation(new_config)
sim.run()
baseline = sim.total_phase_time
keywords = [
"onshore_construction_time",
"cable_load_time",
"site_position_time",
"cable_prep_time",
"cable_lower_time",
"cable_pull_in_time",
"cable_termination_time",
"cable_splice_time",
"tow_plow_speed",
"pull_winch_speed",
"cable_raise_time",
]
failed = []
for kw in keywords:
default = pt[kw]
if "speed" in kw:
_new = default - 0.05
if _new <= 0:
raise Exception(f"'{kw}' is less than 0.")
kwargs = {kw: _new}
else:
kwargs = {kw: default + 2}
new_sim = ExportCableInstallation(new_config, **kwargs)
new_sim.run()
new_time = new_sim.total_phase_time
if new_time > baseline:
pass
else:
failed.append(kw)
if failed:
raise Exception(f"ExpInstall: '{failed}' not affecting results.")
else:
assert True
def test_for_complete_logging(config, weather):
sim = ExportCableInstallation(config, weather=weather)
sim.run()
df = pd.DataFrame(sim.env.actions)
df = df.loc[df["action"] != "Mobilize"].reset_index(drop=True)
df = df.assign(shift=(df["time"] - df["time"].shift(1)))
for vessel in df["agent"].unique():
_df = df[df["agent"] == vessel].copy()
_df = _df.assign(shift=(_df["time"] - _df["time"].shift(1)))
assert (_df["shift"] - _df["duration"]).fillna(0.0).abs().max() < 1e-9
assert ~df["cost"].isnull().any()
_ = sim.agent_efficiencies
_ = sim.detailed_output
def test_vessel_initialization(config):
sim = ExportCableInstallation(config)
assert sim.install_vessel
assert sim.install_vessel.cable_storage
if config.get("export_cable_bury_vessel", None):
assert sim.bury_vessel
def test_simulation_setup(config):
sim = ExportCableInstallation(config)
assert sim.env
assert sim.cable
assert sim.cable.linear_density
actions = [a["action"] for a in sim.env.actions]
assert "Onshore Construction" in actions
def test_simultaneous_speed_kwargs():
sim = ExportCableInstallation(simul_config)
sim.run()
baseline = sim.total_phase_time
key = "cable_lay_bury_speed"
val = pt[key] * 0.1
kwargs = {key: val}
sim = ExportCableInstallation(simul_config, **kwargs)
sim.run()
assert sim.total_phase_time > baseline
def test_separate_speed_kwargs():
sim = ExportCableInstallation(base_config)
sim.run()
df = pd.DataFrame(sim.env.actions)
base_lay = sum(df.loc[df["action"] == "Lay Cable"]["duration"])
base_bury = sum(df.loc[df["action"] == "Bury Cable"]["duration"])
kwargs = {
"cable_lay_speed": pt["cable_lay_speed"] * 0.1,
"cable_bury_speed": pt["cable_bury_speed"] * 0.1,
}
new = ExportCableInstallation(base_config, **kwargs)
new.run()
df = pd.DataFrame(new.env.actions)
new_lay = sum(df.loc[df["action"] == "Lay Cable"]["duration"])
assert new_lay > base_lay
new_bury = sum(df.loc[df["action"] == "Bury Cable"]["duration"])
assert new_bury > base_bury