The function openmc.deplete.epc_rk4 has been removed
in favor of openmc.deplete.EPC_RK4_Integrator. The scheme
can be used with::
>>> from openmc.deplete import EPC_RK4_Integrator
>>> EPC_RK4_Integrator(op, dt, power).integrate()
epc_rk4 has been removed from the documentation, and the
EPC_RK4_Integrator class has been added to the depletion
API documentation
The function openmc.deplete.cf4 has been removed in favor
of openmc.deplete.CF4Integrator. The CF4 integration scheme
can be peformed with
>>> from openmc.deplete import CF4Integrator
>>> CF4Integrator(operator, time, power).integrate()
The depletion functions openmc.deplete.celi and
openmc.deplete.leqi hvae been removed in favor of a class-based
approach. The following syntax will replicate the behavior
of the integration schemes:
>>> from openmc.deplete import CELIIntegrator
>>> celi = CELIIntegrator(operator, time, power)
>>> celi.integrate()
The expression can be reduced to a single line:
>>> LEQIIntegrator(operator, time, power).integrate()
The depletion function openmc.deplete.predictor has been removed
in favor of a class-based approach. The following syntax will
replicate the behavior of the predictor integration scheme:
>>> from openmc.deplete import PredictorIntegrator
>>> predictor = PredictorIntegrator(operator, time, power)
>>> predictor.integrate()`
The expression can be reduced to a single line:
>>> PredictorIntegrator(operator, time, power).integrate()
The cecm function has been removed from the python api.
In order to use the cecm integration scheme,
the following class based approach is now expected:
>>> from openmc.deplete import CECMIntegrator
>>> cecm = CECMIntegrator(operator, timesteps, power)
>>> cecm.integrate()
if the integrator is not needed, this above expression can be
one-lined with
>>> CECMIntegrator(operator, timesteps, power).integrate()
Unit tests have been updated to no longer use the cecm function,
and cecm has been removed from documentation.
The CECMIntegrator has been added to documentation.
