# hub.solver.do_solver.sk_to_do_binding

Domain specification

Domain

Only show finetuned characteristics Simplify signatures

# from_last_state_to_solution

from_last_state_to_solution(
  state: State,
  domain: SchedulingDomain
) -> RcpspSolution

Transform a scheduling state into a RcpspSolution This function reads the schedule from the state object and transform it back to a discrete-optimization solution object.

# build_do_domain

build_do_domain(
  scheduling_domain: Union[SingleModeRCPSP, SingleModeRCPSPCalendar, MultiModeRCPSP, MultiModeRCPSPWithCost, MultiModeRCPSPCalendar, MultiModeMultiSkillRCPSP, MultiModeMultiSkillRCPSPCalendar, SingleModeRCPSP_Stochastic_Durations]
) -> Union[RcpspProblem, MultiskillRcpspProblem]

Transform the scheduling domain (from scikit-decide) into a discrete-optimization problem.

This only works for scheduling template given in the type docstring.

# build_sk_domain

build_sk_domain(
  rcpsp_do_domain: Union[MultiskillRcpspProblem, RcpspProblem],
  varying_ressource: bool = False
) -> Union[RCPSP, MSRCPSP, MRCPSP, MSRCPSPCalendar]

Build a scheduling domain (scikit-decide) from a discrete-optimization problem