def test_set_value():
model = BmiHeat()
model.initialize()
z0 = model.get_value_ref('plate_surface__temperature')
z1 = np.zeros_like(z0) - 1
model.set_value('plate_surface__temperature', z1)
new_z = model.get_value_ref('plate_surface__temperature')
assert_is(new_z, z0)
assert_is_not(new_z, z1)
assert_array_almost_equal(new_z, z1)
def test_set_value():
model = BmiHeat()
model.initialize()
z0 = model.get_value_ptr("plate_surface__temperature")
z1 = np.zeros_like(z0) - 1
model.set_value("plate_surface__temperature", z1)
new_z = model.get_value_ptr("plate_surface__temperature")
assert new_z is z0
assert new_z is not z1
assert_array_almost_equal(new_z, z1)
kappa: {kappa}
k: {k}
Qm: {Qm}
""".format(
kappa=kappa, k=k, Qm=Qm, nrow=nrow, dz=dz,
)
)
# Create an instance of the Heat model, initialize it from the file.
h = Heat()
h.initialize(file_like)
# set the initial temperature based on our linear fit.
model_z = np.arange(0, nrow * dz, dz)
T_init = fit.intercept_[0] + fit.coef_[0][0] * model_z
h.set_value("temperature", T_init)
# override the default timestep to use 1 day.
h.timestep = seconds_per_day
# run the model forward in time forced by the surface temperature.
while h.get_current_time() < duration_years * seconds_per_year:
# calculate the time to run until.
run_until = min([h.get_current_time() + seconds_per_year,
duration_years*seconds_per_year])
# determine the current surface temperature
current_time = h.get_current_time()/seconds_per_year
current_temperature_change = surface_temperature_change(current_time)
# set the surface temperature in the model.
h.set_value_at_indices("temperature",
[0],
