Bindings for protocols::simple_moves::sidechain_moves namespace

Classes
		rosetta.protocols.canonical_sampling.ThermodynamicMover(rosetta.protocols.moves.Mover) SidechainMover SidechainMCMover SidechainMoverBase PerturbChiSidechainMover PerturbRotamerSidechainMover JumpRotamerSidechainMover rosetta.protocols.moves.Mover(builtins.object) SetChiMover rosetta.protocols.moves.MoverCreator(builtins.object) JumpRotamerSidechainMoverCreator PerturbChiSidechainMoverCreator PerturbRotamerSidechainMoverCreator SetChiMoverCreator SidechainMCMoverCreator SidechainMoverCreator   class JumpRotamerSidechainMover(PerturbRotamerSidechainMover)     class for non-discrete side chain sampling using Dunbrack rotamer probabilities/distributions     Method resolution order: JumpRotamerSidechainMover PerturbRotamerSidechainMover SidechainMoverBase rosetta.protocols.canonical_sampling.ThermodynamicMover rosetta.protocols.moves.Mover builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(*args, **kwargs) Overloaded function.   1. __init__(handle) -> NoneType   2. __init__(self : handle, rotamer_library : rosetta.core.pack.dunbrack.RotamerLibrary) -> NoneType   3. __init__(handle, rosetta.protocols.simple_moves.sidechain_moves.JumpRotamerSidechainMover) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. clone(...) from builtins.PyCapsule clone(rosetta.protocols.simple_moves.sidechain_moves.JumpRotamerSidechainMover) -> rosetta.protocols.moves.Mover compute_proposal_density(...) from builtins.PyCapsule compute_proposal_density(self : rosetta.protocols.simple_moves.sidechain_moves.JumpRotamerSidechainMover, new_residue : rosetta.core.conformation.Residue, resnum : int, old_res_type : rosetta.core.chemical.ResidueType, old_chi : rosetta.utility.vector1_double) -> float get_name(...) from builtins.PyCapsule get_name(rosetta.protocols.simple_moves.sidechain_moves.JumpRotamerSidechainMover) -> str make_chi_move(...) from builtins.PyCapsule make_chi_move(self : rosetta.protocols.simple_moves.sidechain_moves.JumpRotamerSidechainMover, residue : rosetta.core.conformation.Residue, old_chi : rosetta.utility.vector1_double, new_chi : rosetta.utility.vector1_double) -> NoneType Methods inherited from PerturbRotamerSidechainMover: build_rotamer_list(...) from builtins.PyCapsule build_rotamer_list(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover,  : rosetta.core.conformation.Residue, filter : bool,  : rosetta.utility.vector1_core_pack_dunbrack_DunbrackRotamerSampleData) -> NoneType compute_rotdensities(...) from builtins.PyCapsule compute_rotdensities(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover,  : rosetta.utility.vector1_core_pack_dunbrack_DunbrackRotamerSampleData, old_chi : rosetta.utility.vector1_double, new_chi : rosetta.utility.vector1_double, within_rot_density : float) -> NoneType set_temperature(...) from builtins.PyCapsule set_temperature(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover, setting : float) -> NoneType temperature(...) from builtins.PyCapsule temperature(rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover) -> float Methods inherited from SidechainMoverBase: apply(...) from builtins.PyCapsule apply(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   apply a sidechain move to a Pose object change_chi_without_replacing_residue(...) from builtins.PyCapsule change_chi_without_replacing_residue(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. have_mutated_residue(...) from builtins.PyCapsule have_mutated_residue(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   return true if your last move has mutated residue --- make sure the residue is replaced entirely idealize_sidechains(...) from builtins.PyCapsule idealize_sidechains(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   idealize sidechains that might be altered init_task(...) from builtins.PyCapsule init_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   initialize the packer task if necessary initialize_simulation(...) from builtins.PyCapsule initialize_simulation(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : rosetta.protocols.canonical_sampling.MetropolisHastingsMover, cycle : int) -> NoneType last_proposal_density_ratio(...) from builtins.PyCapsule last_proposal_density_ratio(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> float   get the ratio of proposal densities for the last move make_move(...) from builtins.PyCapsule make_move(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, res : rosetta.core.conformation.Residue) -> rosetta.core.conformation.Residue packed_residues(...) from builtins.PyCapsule packed_residues(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.utility.vector1_unsigned_long   get the residues that can be changed by this mover preserve_detailed_balance(...) from builtins.PyCapsule preserve_detailed_balance(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   get whether detailed balance is preserved (i.e. proposal density ratio calculated) residue_packed(...) from builtins.PyCapsule residue_packed(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.utility.vector1_bool   get a vector indicating whether each residue can be packed rotamer_library(...) from builtins.PyCapsule rotamer_library(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.dunbrack.RotamerLibrary   get the rotamer library set_change_chi_without_replacing_residue(...) from builtins.PyCapsule set_change_chi_without_replacing_residue(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, setting : bool) -> NoneType   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. set_preserve_detailed_balance(...) from builtins.PyCapsule set_preserve_detailed_balance(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, setting : bool) -> NoneType   set whether detailed balance is preserved (i.e. proposal density ratio calculated) set_task(...) from builtins.PyCapsule set_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, task : rosetta.core.pack.task.PackerTask) -> NoneType   set the task set_task_factory(...) from builtins.PyCapsule set_task_factory(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, task_factory : rosetta.core.pack.task.TaskFactory) -> NoneType   set the task factory suggest_residue_number(...) from builtins.PyCapsule suggest_residue_number(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase,  : rosetta.core.pose.Pose) -> int task(...) from builtins.PyCapsule task(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.task.PackerTask   get the packer task task_factory(...) from builtins.PyCapsule task_factory(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.task.TaskFactory   get the task factory torsion_id_ranges(...) from builtins.PyCapsule torsion_id_ranges(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> rosetta.utility.vector1_core_id_TorsionID_Range   get the TorsionIDs perturbed by the mover during moves, along with their ranges Methods inherited from rosetta.protocols.canonical_sampling.ThermodynamicMover: assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.canonical_sampling.ThermodynamicMover,  : rosetta.protocols.canonical_sampling.ThermodynamicMover) -> rosetta.protocols.canonical_sampling.ThermodynamicMover finalize_simulation(...) from builtins.PyCapsule finalize_simulation(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after all Monte Carlo trials are completed. is_multi_trial(...) from builtins.PyCapsule is_multi_trial(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> bool   Return true if the move performs multiple trials on each apply.      last_inner_score_delta_over_temperature()      metropolis_hastings_mover()      set_metropolis_hastings_mover() last_inner_score_delta_over_temperature(...) from builtins.PyCapsule last_inner_score_delta_over_temperature(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> float   If this is a multi-trial move, return the change in internal  score/temperature caused by the last call to apply().      is_multi_trial() metropolis_hastings_mover(...) from builtins.PyCapsule metropolis_hastings_mover(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t   If this is a multi-trial move, return the MetropolisHastingsMover  being used internally.      is_multi_trial() observe_after_metropolis(...) from builtins.PyCapsule observe_after_metropolis(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after the Metropolis criterion is evaluated. set_metropolis_hastings_mover(...) from builtins.PyCapsule set_metropolis_hastings_mover(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, metropolis_hastings_mover : rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t) -> NoneType   If this is a multi-trial move, set the MetropolisHastingsMover to  be used internally.      is_multi_trial() Methods inherited from rosetta.protocols.moves.Mover: clear_info(...) from builtins.PyCapsule clear_info(rosetta.protocols.moves.Mover) -> NoneType   Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.      clear_info is called by jd2 before calling apply create(...) from builtins.PyCapsule create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover fresh_instance(...) from builtins.PyCapsule fresh_instance(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   Generates a new Mover object freshly created with the default ctor. get_additional_output(...) from builtins.PyCapsule get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose   fpd      Mechanism by which a mover may return multiple output poses from a single input pose. get_current_job(...) from builtins.PyCapsule get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob get_current_tag(...) from builtins.PyCapsule get_current_tag(rosetta.protocols.moves.Mover) -> str   A tag is a unique identifier used to identify structures produced  by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )  sets the tag.  This functionality is not intended for use with the 2008 job distributor. get_input_pose(...) from builtins.PyCapsule get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_last_move_status(...) from builtins.PyCapsule get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus   returns status after an apply().  The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return. get_native_pose(...) from builtins.PyCapsule get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_self_ptr(...) from builtins.PyCapsule get_self_ptr(*args, **kwargs) Overloaded function.   1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover get_self_weak_ptr(...) from builtins.PyCapsule get_self_weak_ptr(*args, **kwargs) Overloaded function.   1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t   2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t get_type(...) from builtins.PyCapsule get_type(rosetta.protocols.moves.Mover) -> str info(...) from builtins.PyCapsule info(*args, **kwargs) Overloaded function.   1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   non-const accessor   2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   const accessor name(...) from builtins.PyCapsule name() -> str register_options(...) from builtins.PyCapsule register_options(*args, **kwargs) Overloaded function.   1. register_options() -> NoneType   Overload this static method if you access options within the mover.      These options will end up in -help of your application if users of this mover call register_options.  Do this recursively!  If you use movers within your mover, call their register_options in your register_options() method.   2. register_options() -> NoneType   3. register_options() -> NoneType   4. register_options() -> NoneType   5. register_options() -> NoneType   6. register_options() -> NoneType   7. register_options() -> NoneType   8. register_options() -> NoneType   9. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   10. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   11. register_options() -> NoneType   Associates relevant options with the SnugDock class   12. register_options() -> NoneType   Associates relevant options with the SnugDockProtocol class   13. register_options() -> NoneType   Register the options used by this mover with the global options  system.   14. register_options() -> NoneType   15. register_options() -> NoneType   Associate relevant options with the TemperedDocking class.   16. register_options() -> NoneType   17. register_options() -> NoneType   18. register_options() -> NoneType   Associates relevant options with the TemperedDocking class.   19. register_options() -> NoneType   20. register_options() -> NoneType   Associates relevant options with the ConstraintSetMover class   21. register_options() -> NoneType   22. register_options() -> NoneType   Associates relevant options with the DockingInitialPerturbation class   23. register_options() -> NoneType   Associates relevant options with the DockingProtocol class   24. register_options() -> NoneType   Associates relevant options with the TemperedDocking class   25. register_options() -> NoneType   26. register_options() -> NoneType   27. register_options() -> NoneType   28. register_options() -> NoneType   register options   29. register_options() -> NoneType   30. register_options() -> NoneType   Registers applicable options   31. register_options() -> NoneType   Register options with the option system.   32. register_options() -> NoneType   33. register_options() -> NoneType   34. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   35. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycleContainer class   36. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   37. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   38. register_options() -> NoneType   39. register_options() -> NoneType   Register options with the option system.   40. register_options() -> NoneType reinitialize_for_each_job(...) from builtins.PyCapsule reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on  each use. reinitialize_for_new_input(...) from builtins.PyCapsule reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input  pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for  that one input pose). reset_status(...) from builtins.PyCapsule reset_status(rosetta.protocols.moves.Mover) -> NoneType   resets status to SUCCESS, meant to be used before an apply().  The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s. set_current_job(...) from builtins.PyCapsule set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType   ////////////////////////////end Job Distributor interface//////////////////////////////////////// set_current_tag(...) from builtins.PyCapsule set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType set_input_pose(...) from builtins.PyCapsule set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for poses contained for rms set_native_pose(...) from builtins.PyCapsule set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe set_type(...) from builtins.PyCapsule set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType test_move(...) from builtins.PyCapsule test_move(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   : Unit test support function.  Apply one move to a given pose.       Allows extra test specific functions to be called before applying type(...) from builtins.PyCapsule type(*args, **kwargs) Overloaded function.   1. type(rosetta.protocols.moves.Mover) -> str   2. type(self : rosetta.protocols.moves.Mover, type_in : str) -> NoneType   class JumpRotamerSidechainMoverCreator(rosetta.protocols.moves.MoverCreator)       Method resolution order: JumpRotamerSidechainMoverCreator rosetta.protocols.moves.MoverCreator builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(handle) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.simple_moves.sidechain_moves.JumpRotamerSidechainMoverCreator,  : rosetta.protocols.simple_moves.sidechain_moves.JumpRotamerSidechainMoverCreator) -> rosetta.protocols.simple_moves.sidechain_moves.JumpRotamerSidechainMoverCreator create_mover(...) from builtins.PyCapsule create_mover(rosetta.protocols.simple_moves.sidechain_moves.JumpRotamerSidechainMoverCreator) -> rosetta.protocols.moves.Mover keyname(...) from builtins.PyCapsule keyname(rosetta.protocols.simple_moves.sidechain_moves.JumpRotamerSidechainMoverCreator) -> str mover_name(...) from builtins.PyCapsule mover_name() -> str   class PerturbChiSidechainMover(SidechainMoverBase)     class for non-discrete side chain sampling using Dunbrack rotamer probabilities/distributions     Method resolution order: PerturbChiSidechainMover SidechainMoverBase rosetta.protocols.canonical_sampling.ThermodynamicMover rosetta.protocols.moves.Mover builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(*args, **kwargs) Overloaded function.   1. __init__(handle) -> NoneType   2. __init__(self : handle, rotamer_library : rosetta.core.pack.dunbrack.RotamerLibrary) -> NoneType   3. __init__(handle, rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMover) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. clone(...) from builtins.PyCapsule clone(rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMover) -> rosetta.protocols.moves.Mover compute_proposal_density(...) from builtins.PyCapsule compute_proposal_density(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMover,  : rosetta.core.conformation.Residue,  : int,  : rosetta.core.chemical.ResidueType,  : rosetta.utility.vector1_double) -> float get_name(...) from builtins.PyCapsule get_name(rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMover) -> str make_chi_move(...) from builtins.PyCapsule make_chi_move(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMover, residue : rosetta.core.conformation.Residue, old_chi : rosetta.utility.vector1_double, new_chi : rosetta.utility.vector1_double) -> NoneType set_gaussian(...) from builtins.PyCapsule set_gaussian(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMover, setting : bool) -> NoneType set_magnitude(...) from builtins.PyCapsule set_magnitude(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMover, setting : float) -> NoneType Methods inherited from SidechainMoverBase: apply(...) from builtins.PyCapsule apply(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   apply a sidechain move to a Pose object change_chi_without_replacing_residue(...) from builtins.PyCapsule change_chi_without_replacing_residue(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. have_mutated_residue(...) from builtins.PyCapsule have_mutated_residue(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   return true if your last move has mutated residue --- make sure the residue is replaced entirely idealize_sidechains(...) from builtins.PyCapsule idealize_sidechains(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   idealize sidechains that might be altered init_task(...) from builtins.PyCapsule init_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   initialize the packer task if necessary initialize_simulation(...) from builtins.PyCapsule initialize_simulation(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : rosetta.protocols.canonical_sampling.MetropolisHastingsMover, cycle : int) -> NoneType last_proposal_density_ratio(...) from builtins.PyCapsule last_proposal_density_ratio(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> float   get the ratio of proposal densities for the last move make_move(...) from builtins.PyCapsule make_move(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, res : rosetta.core.conformation.Residue) -> rosetta.core.conformation.Residue packed_residues(...) from builtins.PyCapsule packed_residues(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.utility.vector1_unsigned_long   get the residues that can be changed by this mover preserve_detailed_balance(...) from builtins.PyCapsule preserve_detailed_balance(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   get whether detailed balance is preserved (i.e. proposal density ratio calculated) residue_packed(...) from builtins.PyCapsule residue_packed(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.utility.vector1_bool   get a vector indicating whether each residue can be packed rotamer_library(...) from builtins.PyCapsule rotamer_library(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.dunbrack.RotamerLibrary   get the rotamer library set_change_chi_without_replacing_residue(...) from builtins.PyCapsule set_change_chi_without_replacing_residue(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, setting : bool) -> NoneType   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. set_preserve_detailed_balance(...) from builtins.PyCapsule set_preserve_detailed_balance(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, setting : bool) -> NoneType   set whether detailed balance is preserved (i.e. proposal density ratio calculated) set_task(...) from builtins.PyCapsule set_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, task : rosetta.core.pack.task.PackerTask) -> NoneType   set the task set_task_factory(...) from builtins.PyCapsule set_task_factory(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, task_factory : rosetta.core.pack.task.TaskFactory) -> NoneType   set the task factory suggest_residue_number(...) from builtins.PyCapsule suggest_residue_number(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase,  : rosetta.core.pose.Pose) -> int task(...) from builtins.PyCapsule task(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.task.PackerTask   get the packer task task_factory(...) from builtins.PyCapsule task_factory(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.task.TaskFactory   get the task factory torsion_id_ranges(...) from builtins.PyCapsule torsion_id_ranges(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> rosetta.utility.vector1_core_id_TorsionID_Range   get the TorsionIDs perturbed by the mover during moves, along with their ranges Methods inherited from rosetta.protocols.canonical_sampling.ThermodynamicMover: assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.canonical_sampling.ThermodynamicMover,  : rosetta.protocols.canonical_sampling.ThermodynamicMover) -> rosetta.protocols.canonical_sampling.ThermodynamicMover finalize_simulation(...) from builtins.PyCapsule finalize_simulation(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after all Monte Carlo trials are completed. is_multi_trial(...) from builtins.PyCapsule is_multi_trial(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> bool   Return true if the move performs multiple trials on each apply.      last_inner_score_delta_over_temperature()      metropolis_hastings_mover()      set_metropolis_hastings_mover() last_inner_score_delta_over_temperature(...) from builtins.PyCapsule last_inner_score_delta_over_temperature(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> float   If this is a multi-trial move, return the change in internal  score/temperature caused by the last call to apply().      is_multi_trial() metropolis_hastings_mover(...) from builtins.PyCapsule metropolis_hastings_mover(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t   If this is a multi-trial move, return the MetropolisHastingsMover  being used internally.      is_multi_trial() observe_after_metropolis(...) from builtins.PyCapsule observe_after_metropolis(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after the Metropolis criterion is evaluated. set_metropolis_hastings_mover(...) from builtins.PyCapsule set_metropolis_hastings_mover(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, metropolis_hastings_mover : rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t) -> NoneType   If this is a multi-trial move, set the MetropolisHastingsMover to  be used internally.      is_multi_trial() Methods inherited from rosetta.protocols.moves.Mover: clear_info(...) from builtins.PyCapsule clear_info(rosetta.protocols.moves.Mover) -> NoneType   Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.      clear_info is called by jd2 before calling apply create(...) from builtins.PyCapsule create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover fresh_instance(...) from builtins.PyCapsule fresh_instance(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   Generates a new Mover object freshly created with the default ctor. get_additional_output(...) from builtins.PyCapsule get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose   fpd      Mechanism by which a mover may return multiple output poses from a single input pose. get_current_job(...) from builtins.PyCapsule get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob get_current_tag(...) from builtins.PyCapsule get_current_tag(rosetta.protocols.moves.Mover) -> str   A tag is a unique identifier used to identify structures produced  by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )  sets the tag.  This functionality is not intended for use with the 2008 job distributor. get_input_pose(...) from builtins.PyCapsule get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_last_move_status(...) from builtins.PyCapsule get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus   returns status after an apply().  The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return. get_native_pose(...) from builtins.PyCapsule get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_self_ptr(...) from builtins.PyCapsule get_self_ptr(*args, **kwargs) Overloaded function.   1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover get_self_weak_ptr(...) from builtins.PyCapsule get_self_weak_ptr(*args, **kwargs) Overloaded function.   1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t   2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t get_type(...) from builtins.PyCapsule get_type(rosetta.protocols.moves.Mover) -> str info(...) from builtins.PyCapsule info(*args, **kwargs) Overloaded function.   1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   non-const accessor   2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   const accessor name(...) from builtins.PyCapsule name() -> str register_options(...) from builtins.PyCapsule register_options(*args, **kwargs) Overloaded function.   1. register_options() -> NoneType   Overload this static method if you access options within the mover.      These options will end up in -help of your application if users of this mover call register_options.  Do this recursively!  If you use movers within your mover, call their register_options in your register_options() method.   2. register_options() -> NoneType   3. register_options() -> NoneType   4. register_options() -> NoneType   5. register_options() -> NoneType   6. register_options() -> NoneType   7. register_options() -> NoneType   8. register_options() -> NoneType   9. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   10. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   11. register_options() -> NoneType   Associates relevant options with the SnugDock class   12. register_options() -> NoneType   Associates relevant options with the SnugDockProtocol class   13. register_options() -> NoneType   Register the options used by this mover with the global options  system.   14. register_options() -> NoneType   15. register_options() -> NoneType   Associate relevant options with the TemperedDocking class.   16. register_options() -> NoneType   17. register_options() -> NoneType   18. register_options() -> NoneType   Associates relevant options with the TemperedDocking class.   19. register_options() -> NoneType   20. register_options() -> NoneType   Associates relevant options with the ConstraintSetMover class   21. register_options() -> NoneType   22. register_options() -> NoneType   Associates relevant options with the DockingInitialPerturbation class   23. register_options() -> NoneType   Associates relevant options with the DockingProtocol class   24. register_options() -> NoneType   Associates relevant options with the TemperedDocking class   25. register_options() -> NoneType   26. register_options() -> NoneType   27. register_options() -> NoneType   28. register_options() -> NoneType   register options   29. register_options() -> NoneType   30. register_options() -> NoneType   Registers applicable options   31. register_options() -> NoneType   Register options with the option system.   32. register_options() -> NoneType   33. register_options() -> NoneType   34. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   35. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycleContainer class   36. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   37. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   38. register_options() -> NoneType   39. register_options() -> NoneType   Register options with the option system.   40. register_options() -> NoneType reinitialize_for_each_job(...) from builtins.PyCapsule reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on  each use. reinitialize_for_new_input(...) from builtins.PyCapsule reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input  pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for  that one input pose). reset_status(...) from builtins.PyCapsule reset_status(rosetta.protocols.moves.Mover) -> NoneType   resets status to SUCCESS, meant to be used before an apply().  The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s. set_current_job(...) from builtins.PyCapsule set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType   ////////////////////////////end Job Distributor interface//////////////////////////////////////// set_current_tag(...) from builtins.PyCapsule set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType set_input_pose(...) from builtins.PyCapsule set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for poses contained for rms set_native_pose(...) from builtins.PyCapsule set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe set_type(...) from builtins.PyCapsule set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType test_move(...) from builtins.PyCapsule test_move(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   : Unit test support function.  Apply one move to a given pose.       Allows extra test specific functions to be called before applying type(...) from builtins.PyCapsule type(*args, **kwargs) Overloaded function.   1. type(rosetta.protocols.moves.Mover) -> str   2. type(self : rosetta.protocols.moves.Mover, type_in : str) -> NoneType   class PerturbChiSidechainMoverCreator(rosetta.protocols.moves.MoverCreator)       Method resolution order: PerturbChiSidechainMoverCreator rosetta.protocols.moves.MoverCreator builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(handle) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMoverCreator,  : rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMoverCreator) -> rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMoverCreator create_mover(...) from builtins.PyCapsule create_mover(rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMoverCreator) -> rosetta.protocols.moves.Mover keyname(...) from builtins.PyCapsule keyname(rosetta.protocols.simple_moves.sidechain_moves.PerturbChiSidechainMoverCreator) -> str mover_name(...) from builtins.PyCapsule mover_name() -> str   class PerturbRotamerSidechainMover(SidechainMoverBase)     class for non-discrete side chain sampling using Dunbrack rotamer probabilities/distributions     Method resolution order: PerturbRotamerSidechainMover SidechainMoverBase rosetta.protocols.canonical_sampling.ThermodynamicMover rosetta.protocols.moves.Mover builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(*args, **kwargs) Overloaded function.   1. __init__(handle) -> NoneType   2. __init__(self : handle, rotamer_library : rosetta.core.pack.dunbrack.RotamerLibrary) -> NoneType   3. __init__(handle, rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. build_rotamer_list(...) from builtins.PyCapsule build_rotamer_list(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover,  : rosetta.core.conformation.Residue, filter : bool,  : rosetta.utility.vector1_core_pack_dunbrack_DunbrackRotamerSampleData) -> NoneType clone(...) from builtins.PyCapsule clone(rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover) -> rosetta.protocols.moves.Mover compute_proposal_density(...) from builtins.PyCapsule compute_proposal_density(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover, new_residue : rosetta.core.conformation.Residue, resnum : int, old_res_type : rosetta.core.chemical.ResidueType, old_chi : rosetta.utility.vector1_double) -> float compute_rotdensities(...) from builtins.PyCapsule compute_rotdensities(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover,  : rosetta.utility.vector1_core_pack_dunbrack_DunbrackRotamerSampleData, old_chi : rosetta.utility.vector1_double, new_chi : rosetta.utility.vector1_double, within_rot_density : float) -> NoneType get_name(...) from builtins.PyCapsule get_name(rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover) -> str make_chi_move(...) from builtins.PyCapsule make_chi_move(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover, residue : rosetta.core.conformation.Residue, old_chi : rosetta.utility.vector1_double, new_chi : rosetta.utility.vector1_double) -> NoneType set_temperature(...) from builtins.PyCapsule set_temperature(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover, setting : float) -> NoneType temperature(...) from builtins.PyCapsule temperature(rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMover) -> float Methods inherited from SidechainMoverBase: apply(...) from builtins.PyCapsule apply(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   apply a sidechain move to a Pose object change_chi_without_replacing_residue(...) from builtins.PyCapsule change_chi_without_replacing_residue(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. have_mutated_residue(...) from builtins.PyCapsule have_mutated_residue(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   return true if your last move has mutated residue --- make sure the residue is replaced entirely idealize_sidechains(...) from builtins.PyCapsule idealize_sidechains(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   idealize sidechains that might be altered init_task(...) from builtins.PyCapsule init_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   initialize the packer task if necessary initialize_simulation(...) from builtins.PyCapsule initialize_simulation(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : rosetta.protocols.canonical_sampling.MetropolisHastingsMover, cycle : int) -> NoneType last_proposal_density_ratio(...) from builtins.PyCapsule last_proposal_density_ratio(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> float   get the ratio of proposal densities for the last move make_move(...) from builtins.PyCapsule make_move(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, res : rosetta.core.conformation.Residue) -> rosetta.core.conformation.Residue packed_residues(...) from builtins.PyCapsule packed_residues(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.utility.vector1_unsigned_long   get the residues that can be changed by this mover preserve_detailed_balance(...) from builtins.PyCapsule preserve_detailed_balance(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   get whether detailed balance is preserved (i.e. proposal density ratio calculated) residue_packed(...) from builtins.PyCapsule residue_packed(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.utility.vector1_bool   get a vector indicating whether each residue can be packed rotamer_library(...) from builtins.PyCapsule rotamer_library(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.dunbrack.RotamerLibrary   get the rotamer library set_change_chi_without_replacing_residue(...) from builtins.PyCapsule set_change_chi_without_replacing_residue(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, setting : bool) -> NoneType   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. set_preserve_detailed_balance(...) from builtins.PyCapsule set_preserve_detailed_balance(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, setting : bool) -> NoneType   set whether detailed balance is preserved (i.e. proposal density ratio calculated) set_task(...) from builtins.PyCapsule set_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, task : rosetta.core.pack.task.PackerTask) -> NoneType   set the task set_task_factory(...) from builtins.PyCapsule set_task_factory(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, task_factory : rosetta.core.pack.task.TaskFactory) -> NoneType   set the task factory suggest_residue_number(...) from builtins.PyCapsule suggest_residue_number(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase,  : rosetta.core.pose.Pose) -> int task(...) from builtins.PyCapsule task(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.task.PackerTask   get the packer task task_factory(...) from builtins.PyCapsule task_factory(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.task.TaskFactory   get the task factory torsion_id_ranges(...) from builtins.PyCapsule torsion_id_ranges(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> rosetta.utility.vector1_core_id_TorsionID_Range   get the TorsionIDs perturbed by the mover during moves, along with their ranges Methods inherited from rosetta.protocols.canonical_sampling.ThermodynamicMover: assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.canonical_sampling.ThermodynamicMover,  : rosetta.protocols.canonical_sampling.ThermodynamicMover) -> rosetta.protocols.canonical_sampling.ThermodynamicMover finalize_simulation(...) from builtins.PyCapsule finalize_simulation(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after all Monte Carlo trials are completed. is_multi_trial(...) from builtins.PyCapsule is_multi_trial(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> bool   Return true if the move performs multiple trials on each apply.      last_inner_score_delta_over_temperature()      metropolis_hastings_mover()      set_metropolis_hastings_mover() last_inner_score_delta_over_temperature(...) from builtins.PyCapsule last_inner_score_delta_over_temperature(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> float   If this is a multi-trial move, return the change in internal  score/temperature caused by the last call to apply().      is_multi_trial() metropolis_hastings_mover(...) from builtins.PyCapsule metropolis_hastings_mover(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t   If this is a multi-trial move, return the MetropolisHastingsMover  being used internally.      is_multi_trial() observe_after_metropolis(...) from builtins.PyCapsule observe_after_metropolis(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after the Metropolis criterion is evaluated. set_metropolis_hastings_mover(...) from builtins.PyCapsule set_metropolis_hastings_mover(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, metropolis_hastings_mover : rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t) -> NoneType   If this is a multi-trial move, set the MetropolisHastingsMover to  be used internally.      is_multi_trial() Methods inherited from rosetta.protocols.moves.Mover: clear_info(...) from builtins.PyCapsule clear_info(rosetta.protocols.moves.Mover) -> NoneType   Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.      clear_info is called by jd2 before calling apply create(...) from builtins.PyCapsule create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover fresh_instance(...) from builtins.PyCapsule fresh_instance(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   Generates a new Mover object freshly created with the default ctor. get_additional_output(...) from builtins.PyCapsule get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose   fpd      Mechanism by which a mover may return multiple output poses from a single input pose. get_current_job(...) from builtins.PyCapsule get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob get_current_tag(...) from builtins.PyCapsule get_current_tag(rosetta.protocols.moves.Mover) -> str   A tag is a unique identifier used to identify structures produced  by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )  sets the tag.  This functionality is not intended for use with the 2008 job distributor. get_input_pose(...) from builtins.PyCapsule get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_last_move_status(...) from builtins.PyCapsule get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus   returns status after an apply().  The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return. get_native_pose(...) from builtins.PyCapsule get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_self_ptr(...) from builtins.PyCapsule get_self_ptr(*args, **kwargs) Overloaded function.   1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover get_self_weak_ptr(...) from builtins.PyCapsule get_self_weak_ptr(*args, **kwargs) Overloaded function.   1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t   2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t get_type(...) from builtins.PyCapsule get_type(rosetta.protocols.moves.Mover) -> str info(...) from builtins.PyCapsule info(*args, **kwargs) Overloaded function.   1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   non-const accessor   2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   const accessor name(...) from builtins.PyCapsule name() -> str register_options(...) from builtins.PyCapsule register_options(*args, **kwargs) Overloaded function.   1. register_options() -> NoneType   Overload this static method if you access options within the mover.      These options will end up in -help of your application if users of this mover call register_options.  Do this recursively!  If you use movers within your mover, call their register_options in your register_options() method.   2. register_options() -> NoneType   3. register_options() -> NoneType   4. register_options() -> NoneType   5. register_options() -> NoneType   6. register_options() -> NoneType   7. register_options() -> NoneType   8. register_options() -> NoneType   9. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   10. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   11. register_options() -> NoneType   Associates relevant options with the SnugDock class   12. register_options() -> NoneType   Associates relevant options with the SnugDockProtocol class   13. register_options() -> NoneType   Register the options used by this mover with the global options  system.   14. register_options() -> NoneType   15. register_options() -> NoneType   Associate relevant options with the TemperedDocking class.   16. register_options() -> NoneType   17. register_options() -> NoneType   18. register_options() -> NoneType   Associates relevant options with the TemperedDocking class.   19. register_options() -> NoneType   20. register_options() -> NoneType   Associates relevant options with the ConstraintSetMover class   21. register_options() -> NoneType   22. register_options() -> NoneType   Associates relevant options with the DockingInitialPerturbation class   23. register_options() -> NoneType   Associates relevant options with the DockingProtocol class   24. register_options() -> NoneType   Associates relevant options with the TemperedDocking class   25. register_options() -> NoneType   26. register_options() -> NoneType   27. register_options() -> NoneType   28. register_options() -> NoneType   register options   29. register_options() -> NoneType   30. register_options() -> NoneType   Registers applicable options   31. register_options() -> NoneType   Register options with the option system.   32. register_options() -> NoneType   33. register_options() -> NoneType   34. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   35. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycleContainer class   36. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   37. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   38. register_options() -> NoneType   39. register_options() -> NoneType   Register options with the option system.   40. register_options() -> NoneType reinitialize_for_each_job(...) from builtins.PyCapsule reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on  each use. reinitialize_for_new_input(...) from builtins.PyCapsule reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input  pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for  that one input pose). reset_status(...) from builtins.PyCapsule reset_status(rosetta.protocols.moves.Mover) -> NoneType   resets status to SUCCESS, meant to be used before an apply().  The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s. set_current_job(...) from builtins.PyCapsule set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType   ////////////////////////////end Job Distributor interface//////////////////////////////////////// set_current_tag(...) from builtins.PyCapsule set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType set_input_pose(...) from builtins.PyCapsule set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for poses contained for rms set_native_pose(...) from builtins.PyCapsule set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe set_type(...) from builtins.PyCapsule set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType test_move(...) from builtins.PyCapsule test_move(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   : Unit test support function.  Apply one move to a given pose.       Allows extra test specific functions to be called before applying type(...) from builtins.PyCapsule type(*args, **kwargs) Overloaded function.   1. type(rosetta.protocols.moves.Mover) -> str   2. type(self : rosetta.protocols.moves.Mover, type_in : str) -> NoneType   class PerturbRotamerSidechainMoverCreator(rosetta.protocols.moves.MoverCreator)       Method resolution order: PerturbRotamerSidechainMoverCreator rosetta.protocols.moves.MoverCreator builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(handle) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMoverCreator,  : rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMoverCreator) -> rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMoverCreator create_mover(...) from builtins.PyCapsule create_mover(rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMoverCreator) -> rosetta.protocols.moves.Mover keyname(...) from builtins.PyCapsule keyname(rosetta.protocols.simple_moves.sidechain_moves.PerturbRotamerSidechainMoverCreator) -> str mover_name(...) from builtins.PyCapsule mover_name() -> str   class SetChiMover(rosetta.protocols.moves.Mover)     A mover to change one chi angle     Method resolution order: SetChiMover rosetta.protocols.moves.Mover builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(*args, **kwargs) Overloaded function.   1. __init__(handle) -> NoneType   2. __init__(handle, rosetta.protocols.simple_moves.sidechain_moves.SetChiMover) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. angle(...) from builtins.PyCapsule angle(*args, **kwargs) Overloaded function.   1. angle(rosetta.protocols.simple_moves.sidechain_moves.SetChiMover) -> float   2. angle(self : rosetta.protocols.simple_moves.sidechain_moves.SetChiMover, a : float) -> NoneType apply(...) from builtins.PyCapsule apply(self : rosetta.protocols.simple_moves.sidechain_moves.SetChiMover, pose : rosetta.core.pose.Pose) -> NoneType assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.simple_moves.sidechain_moves.SetChiMover,  : rosetta.protocols.simple_moves.sidechain_moves.SetChiMover) -> rosetta.protocols.simple_moves.sidechain_moves.SetChiMover chinum(...) from builtins.PyCapsule chinum(*args, **kwargs) Overloaded function.   1. chinum(rosetta.protocols.simple_moves.sidechain_moves.SetChiMover) -> int   2. chinum(self : rosetta.protocols.simple_moves.sidechain_moves.SetChiMover, c : int) -> NoneType clone(...) from builtins.PyCapsule clone(rosetta.protocols.simple_moves.sidechain_moves.SetChiMover) -> rosetta.protocols.moves.Mover fresh_instance(...) from builtins.PyCapsule fresh_instance(rosetta.protocols.simple_moves.sidechain_moves.SetChiMover) -> rosetta.protocols.moves.Mover get_name(...) from builtins.PyCapsule get_name(rosetta.protocols.simple_moves.sidechain_moves.SetChiMover) -> str resnum(...) from builtins.PyCapsule resnum(*args, **kwargs) Overloaded function.   1. resnum(rosetta.protocols.simple_moves.sidechain_moves.SetChiMover) -> int   2. resnum(self : rosetta.protocols.simple_moves.sidechain_moves.SetChiMover, r : int) -> NoneType Methods inherited from rosetta.protocols.moves.Mover: clear_info(...) from builtins.PyCapsule clear_info(rosetta.protocols.moves.Mover) -> NoneType   Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.      clear_info is called by jd2 before calling apply create(...) from builtins.PyCapsule create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover get_additional_output(...) from builtins.PyCapsule get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose   fpd      Mechanism by which a mover may return multiple output poses from a single input pose. get_current_job(...) from builtins.PyCapsule get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob get_current_tag(...) from builtins.PyCapsule get_current_tag(rosetta.protocols.moves.Mover) -> str   A tag is a unique identifier used to identify structures produced  by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )  sets the tag.  This functionality is not intended for use with the 2008 job distributor. get_input_pose(...) from builtins.PyCapsule get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_last_move_status(...) from builtins.PyCapsule get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus   returns status after an apply().  The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return. get_native_pose(...) from builtins.PyCapsule get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_self_ptr(...) from builtins.PyCapsule get_self_ptr(*args, **kwargs) Overloaded function.   1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover get_self_weak_ptr(...) from builtins.PyCapsule get_self_weak_ptr(*args, **kwargs) Overloaded function.   1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t   2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t get_type(...) from builtins.PyCapsule get_type(rosetta.protocols.moves.Mover) -> str info(...) from builtins.PyCapsule info(*args, **kwargs) Overloaded function.   1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   non-const accessor   2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   const accessor last_proposal_density_ratio(...) from builtins.PyCapsule last_proposal_density_ratio(rosetta.protocols.moves.Mover) -> float name(...) from builtins.PyCapsule name() -> str register_options(...) from builtins.PyCapsule register_options(*args, **kwargs) Overloaded function.   1. register_options() -> NoneType   Overload this static method if you access options within the mover.      These options will end up in -help of your application if users of this mover call register_options.  Do this recursively!  If you use movers within your mover, call their register_options in your register_options() method.   2. register_options() -> NoneType   3. register_options() -> NoneType   4. register_options() -> NoneType   5. register_options() -> NoneType   6. register_options() -> NoneType   7. register_options() -> NoneType   8. register_options() -> NoneType   9. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   10. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   11. register_options() -> NoneType   Associates relevant options with the SnugDock class   12. register_options() -> NoneType   Associates relevant options with the SnugDockProtocol class   13. register_options() -> NoneType   Register the options used by this mover with the global options  system.   14. register_options() -> NoneType   15. register_options() -> NoneType   Associate relevant options with the TemperedDocking class.   16. register_options() -> NoneType   17. register_options() -> NoneType   18. register_options() -> NoneType   Associates relevant options with the TemperedDocking class.   19. register_options() -> NoneType   20. register_options() -> NoneType   Associates relevant options with the ConstraintSetMover class   21. register_options() -> NoneType   22. register_options() -> NoneType   Associates relevant options with the DockingInitialPerturbation class   23. register_options() -> NoneType   Associates relevant options with the DockingProtocol class   24. register_options() -> NoneType   Associates relevant options with the TemperedDocking class   25. register_options() -> NoneType   26. register_options() -> NoneType   27. register_options() -> NoneType   28. register_options() -> NoneType   register options   29. register_options() -> NoneType   30. register_options() -> NoneType   Registers applicable options   31. register_options() -> NoneType   Register options with the option system.   32. register_options() -> NoneType   33. register_options() -> NoneType   34. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   35. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycleContainer class   36. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   37. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   38. register_options() -> NoneType   39. register_options() -> NoneType   Register options with the option system.   40. register_options() -> NoneType reinitialize_for_each_job(...) from builtins.PyCapsule reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on  each use. reinitialize_for_new_input(...) from builtins.PyCapsule reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input  pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for  that one input pose). reset_status(...) from builtins.PyCapsule reset_status(rosetta.protocols.moves.Mover) -> NoneType   resets status to SUCCESS, meant to be used before an apply().  The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s. set_current_job(...) from builtins.PyCapsule set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType   ////////////////////////////end Job Distributor interface//////////////////////////////////////// set_current_tag(...) from builtins.PyCapsule set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType set_input_pose(...) from builtins.PyCapsule set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for poses contained for rms set_native_pose(...) from builtins.PyCapsule set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe set_type(...) from builtins.PyCapsule set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType test_move(...) from builtins.PyCapsule test_move(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   : Unit test support function.  Apply one move to a given pose.       Allows extra test specific functions to be called before applying type(...) from builtins.PyCapsule type(*args, **kwargs) Overloaded function.   1. type(rosetta.protocols.moves.Mover) -> str   2. type(self : rosetta.protocols.moves.Mover, type_in : str) -> NoneType   class SetChiMoverCreator(rosetta.protocols.moves.MoverCreator)       Method resolution order: SetChiMoverCreator rosetta.protocols.moves.MoverCreator builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(handle) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.simple_moves.sidechain_moves.SetChiMoverCreator,  : rosetta.protocols.simple_moves.sidechain_moves.SetChiMoverCreator) -> rosetta.protocols.simple_moves.sidechain_moves.SetChiMoverCreator create_mover(...) from builtins.PyCapsule create_mover(rosetta.protocols.simple_moves.sidechain_moves.SetChiMoverCreator) -> rosetta.protocols.moves.Mover keyname(...) from builtins.PyCapsule keyname(rosetta.protocols.simple_moves.sidechain_moves.SetChiMoverCreator) -> str mover_name(...) from builtins.PyCapsule mover_name() -> str   class SidechainMCMover(SidechainMover)     class for non-discrete side chain sampling using Dunbrack rotamer probabilities/distributions     Method resolution order: SidechainMCMover SidechainMover rosetta.protocols.canonical_sampling.ThermodynamicMover rosetta.protocols.moves.Mover builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(*args, **kwargs) Overloaded function.   1. __init__(handle) -> NoneType   2. __init__(self : handle, rotamer_library : rosetta.core.pack.dunbrack.RotamerLibrary) -> NoneType   3. __init__(handle, rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. apply(...) from builtins.PyCapsule apply(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover, pose : rosetta.core.pose.Pose) -> NoneType   apply a sidechain move to a Pose object clone(...) from builtins.PyCapsule clone(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> rosetta.protocols.moves.Mover fresh_instance(...) from builtins.PyCapsule fresh_instance(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> rosetta.protocols.moves.Mover get_name(...) from builtins.PyCapsule get_name(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> str inherit_scorefxn_temperature(...) from builtins.PyCapsule inherit_scorefxn_temperature(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> bool initialize_simulation(...) from builtins.PyCapsule initialize_simulation(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : rosetta.protocols.canonical_sampling.MetropolisHastingsMover, cycle : int) -> NoneType is_multi_trial(...) from builtins.PyCapsule is_multi_trial(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> bool last_inner_score_delta_over_temperature(...) from builtins.PyCapsule last_inner_score_delta_over_temperature(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> float last_proposal_density_ratio(...) from builtins.PyCapsule last_proposal_density_ratio(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> float metropolis_hastings_mover(...) from builtins.PyCapsule metropolis_hastings_mover(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t ntrials(...) from builtins.PyCapsule ntrials(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> int scorefunction(...) from builtins.PyCapsule scorefunction(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> rosetta.core.scoring.ScoreFunction set_inherit_scorefxn_temperature(...) from builtins.PyCapsule set_inherit_scorefxn_temperature(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover, inherit_scorefxn_temperature : bool) -> NoneType set_metropolis_hastings_mover(...) from builtins.PyCapsule set_metropolis_hastings_mover(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover, metropolis_hastings_mover : rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t) -> NoneType set_ntrials(...) from builtins.PyCapsule set_ntrials(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover, ntrial : int) -> NoneType set_scorefunction(...) from builtins.PyCapsule set_scorefunction(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover, sfxn : rosetta.core.scoring.ScoreFunction) -> NoneType set_temperature(...) from builtins.PyCapsule set_temperature(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover, temp : float) -> NoneType setup(...) from builtins.PyCapsule setup(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover, sfxn : rosetta.core.scoring.ScoreFunction) -> NoneType temperature(...) from builtins.PyCapsule temperature(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMover) -> float Methods inherited from SidechainMover: change_chi_without_replacing_residue(...) from builtins.PyCapsule change_chi_without_replacing_residue(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. idealize_sidechains(...) from builtins.PyCapsule idealize_sidechains(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, pose : rosetta.core.pose.Pose) -> NoneType   idealize sidechains that might be altered init_task(...) from builtins.PyCapsule init_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, pose : rosetta.core.pose.Pose) -> NoneType   initialize the packer task if necessary last_mutation(...) from builtins.PyCapsule last_mutation(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool   get whether the last move mutated the residue last_nchi(...) from builtins.PyCapsule last_nchi(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> int   get the number of chi angles sampled in the last move last_uniform(...) from builtins.PyCapsule last_uniform(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool   get whether the last move used uniform chi sampling last_withinrot(...) from builtins.PyCapsule last_withinrot(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool   get whether the last move sampled within the same rotamer make_move(...) from builtins.PyCapsule make_move(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, res : rosetta.core.conformation.Residue) -> rosetta.core.conformation.Residue next_resnum(...) from builtins.PyCapsule next_resnum(*args, **kwargs) Overloaded function.   1. next_resnum(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> int   get the next residue to be changed, 0 means a random will be chosen   2. next_resnum(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, resnum : int) -> NoneType   set the next residue to be changed, 0 means a random will be chosen packed_residues(...) from builtins.PyCapsule packed_residues(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> rosetta.utility.vector1_unsigned_long   get the residues that can be changed by this mover preserve_detailed_balance(...) from builtins.PyCapsule preserve_detailed_balance(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool   get whether detailed balance is preserved (i.e. proposal density ratio calculated) prob_random_pert_current(...) from builtins.PyCapsule prob_random_pert_current(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> float prob_uniform(...) from builtins.PyCapsule prob_uniform(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> float   get the probability of uniformly sampling chi angles prob_withinrot(...) from builtins.PyCapsule prob_withinrot(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> float   get the probability of sampling within the same rotamer proposal_density(...) from builtins.PyCapsule proposal_density(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, proposed_residue : rosetta.core.conformation.Residue, proposed_resnum : int, initial_residue_type : rosetta.core.chemical.ResidueType, initial_chi_angles : rosetta.utility.vector1_double) -> float residue_packed(...) from builtins.PyCapsule residue_packed(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> rosetta.utility.vector1_bool   get a vector indicating whether each residue can be packed rotamer_library(...) from builtins.PyCapsule rotamer_library(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> rosetta.core.pack.dunbrack.RotamerLibrary   get the rotamer library sampling_temperature(...) from builtins.PyCapsule sampling_temperature(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> float set_change_chi_without_replacing_residue(...) from builtins.PyCapsule set_change_chi_without_replacing_residue(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, change_chi_without_replacing_residue : bool) -> NoneType   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. set_preserve_detailed_balance(...) from builtins.PyCapsule set_preserve_detailed_balance(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, preserve_detailed_balance : bool) -> NoneType   set whether detailed balance is preserved (i.e. proposal density ratio calculated) set_prob_random_pert_current(...) from builtins.PyCapsule set_prob_random_pert_current(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, prob_pert : float) -> NoneType set_prob_uniform(...) from builtins.PyCapsule set_prob_uniform(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, prob_uniform : float) -> NoneType   set the probability of uniformly sampling chi angles set_prob_withinrot(...) from builtins.PyCapsule set_prob_withinrot(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, prob_withinrot : float) -> NoneType   set the probability of sampling within the same rotamer set_sampling_temperature(...) from builtins.PyCapsule set_sampling_temperature(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, temp : float) -> NoneType   set temperature for bias sampling at dunbrack distribution set_task(...) from builtins.PyCapsule set_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, task : rosetta.core.pack.task.PackerTask) -> NoneType   set the task set_task_factory(...) from builtins.PyCapsule set_task_factory(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, task_factory : rosetta.core.pack.task.TaskFactory) -> NoneType   set the task factory task(...) from builtins.PyCapsule task(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> rosetta.core.pack.task.PackerTask   get the packer task task_factory(...) from builtins.PyCapsule task_factory(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> rosetta.core.pack.task.TaskFactory   get the task factory task_initialized(...) from builtins.PyCapsule task_initialized(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool test_move(...) from builtins.PyCapsule test_move(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover,  : rosetta.core.pose.Pose) -> NoneType   test the backrub move torsion_id_ranges(...) from builtins.PyCapsule torsion_id_ranges(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, pose : rosetta.core.pose.Pose) -> rosetta.utility.vector1_core_id_TorsionID_Range   get the TorsionIDs perturbed by the mover during moves, along with their ranges update_type(...) from builtins.PyCapsule update_type(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> NoneType   update string describing the move type Methods inherited from rosetta.protocols.canonical_sampling.ThermodynamicMover: assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.canonical_sampling.ThermodynamicMover,  : rosetta.protocols.canonical_sampling.ThermodynamicMover) -> rosetta.protocols.canonical_sampling.ThermodynamicMover finalize_simulation(...) from builtins.PyCapsule finalize_simulation(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after all Monte Carlo trials are completed. observe_after_metropolis(...) from builtins.PyCapsule observe_after_metropolis(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after the Metropolis criterion is evaluated. Methods inherited from rosetta.protocols.moves.Mover: clear_info(...) from builtins.PyCapsule clear_info(rosetta.protocols.moves.Mover) -> NoneType   Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.      clear_info is called by jd2 before calling apply create(...) from builtins.PyCapsule create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover get_additional_output(...) from builtins.PyCapsule get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose   fpd      Mechanism by which a mover may return multiple output poses from a single input pose. get_current_job(...) from builtins.PyCapsule get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob get_current_tag(...) from builtins.PyCapsule get_current_tag(rosetta.protocols.moves.Mover) -> str   A tag is a unique identifier used to identify structures produced  by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )  sets the tag.  This functionality is not intended for use with the 2008 job distributor. get_input_pose(...) from builtins.PyCapsule get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_last_move_status(...) from builtins.PyCapsule get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus   returns status after an apply().  The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return. get_native_pose(...) from builtins.PyCapsule get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_self_ptr(...) from builtins.PyCapsule get_self_ptr(*args, **kwargs) Overloaded function.   1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover get_self_weak_ptr(...) from builtins.PyCapsule get_self_weak_ptr(*args, **kwargs) Overloaded function.   1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t   2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t get_type(...) from builtins.PyCapsule get_type(rosetta.protocols.moves.Mover) -> str info(...) from builtins.PyCapsule info(*args, **kwargs) Overloaded function.   1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   non-const accessor   2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   const accessor name(...) from builtins.PyCapsule name() -> str register_options(...) from builtins.PyCapsule register_options(*args, **kwargs) Overloaded function.   1. register_options() -> NoneType   Overload this static method if you access options within the mover.      These options will end up in -help of your application if users of this mover call register_options.  Do this recursively!  If you use movers within your mover, call their register_options in your register_options() method.   2. register_options() -> NoneType   3. register_options() -> NoneType   4. register_options() -> NoneType   5. register_options() -> NoneType   6. register_options() -> NoneType   7. register_options() -> NoneType   8. register_options() -> NoneType   9. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   10. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   11. register_options() -> NoneType   Associates relevant options with the SnugDock class   12. register_options() -> NoneType   Associates relevant options with the SnugDockProtocol class   13. register_options() -> NoneType   Register the options used by this mover with the global options  system.   14. register_options() -> NoneType   15. register_options() -> NoneType   Associate relevant options with the TemperedDocking class.   16. register_options() -> NoneType   17. register_options() -> NoneType   18. register_options() -> NoneType   Associates relevant options with the TemperedDocking class.   19. register_options() -> NoneType   20. register_options() -> NoneType   Associates relevant options with the ConstraintSetMover class   21. register_options() -> NoneType   22. register_options() -> NoneType   Associates relevant options with the DockingInitialPerturbation class   23. register_options() -> NoneType   Associates relevant options with the DockingProtocol class   24. register_options() -> NoneType   Associates relevant options with the TemperedDocking class   25. register_options() -> NoneType   26. register_options() -> NoneType   27. register_options() -> NoneType   28. register_options() -> NoneType   register options   29. register_options() -> NoneType   30. register_options() -> NoneType   Registers applicable options   31. register_options() -> NoneType   Register options with the option system.   32. register_options() -> NoneType   33. register_options() -> NoneType   34. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   35. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycleContainer class   36. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   37. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   38. register_options() -> NoneType   39. register_options() -> NoneType   Register options with the option system.   40. register_options() -> NoneType reinitialize_for_each_job(...) from builtins.PyCapsule reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on  each use. reinitialize_for_new_input(...) from builtins.PyCapsule reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input  pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for  that one input pose). reset_status(...) from builtins.PyCapsule reset_status(rosetta.protocols.moves.Mover) -> NoneType   resets status to SUCCESS, meant to be used before an apply().  The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s. set_current_job(...) from builtins.PyCapsule set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType   ////////////////////////////end Job Distributor interface//////////////////////////////////////// set_current_tag(...) from builtins.PyCapsule set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType set_input_pose(...) from builtins.PyCapsule set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for poses contained for rms set_native_pose(...) from builtins.PyCapsule set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe set_type(...) from builtins.PyCapsule set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType type(...) from builtins.PyCapsule type(*args, **kwargs) Overloaded function.   1. type(rosetta.protocols.moves.Mover) -> str   2. type(self : rosetta.protocols.moves.Mover, type_in : str) -> NoneType   class SidechainMCMoverCreator(rosetta.protocols.moves.MoverCreator)       Method resolution order: SidechainMCMoverCreator rosetta.protocols.moves.MoverCreator builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(handle) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMoverCreator,  : rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMoverCreator) -> rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMoverCreator create_mover(...) from builtins.PyCapsule create_mover(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMoverCreator) -> rosetta.protocols.moves.Mover keyname(...) from builtins.PyCapsule keyname(rosetta.protocols.simple_moves.sidechain_moves.SidechainMCMoverCreator) -> str mover_name(...) from builtins.PyCapsule mover_name() -> str   class SidechainMover(rosetta.protocols.canonical_sampling.ThermodynamicMover)     class for non-discrete side chain sampling using Dunbrack rotamer probabilities/distributions     Method resolution order: SidechainMover rosetta.protocols.canonical_sampling.ThermodynamicMover rosetta.protocols.moves.Mover builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(*args, **kwargs) Overloaded function.   1. __init__(handle) -> NoneType   2. __init__(self : handle, rotamer_library : rosetta.core.pack.dunbrack.RotamerLibrary) -> NoneType   3. __init__(handle, rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. apply(...) from builtins.PyCapsule apply(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, pose : rosetta.core.pose.Pose) -> NoneType   apply a sidechain move to a Pose object change_chi_without_replacing_residue(...) from builtins.PyCapsule change_chi_without_replacing_residue(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. clone(...) from builtins.PyCapsule clone(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> rosetta.protocols.moves.Mover get_name(...) from builtins.PyCapsule get_name(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> str idealize_sidechains(...) from builtins.PyCapsule idealize_sidechains(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, pose : rosetta.core.pose.Pose) -> NoneType   idealize sidechains that might be altered init_task(...) from builtins.PyCapsule init_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, pose : rosetta.core.pose.Pose) -> NoneType   initialize the packer task if necessary initialize_simulation(...) from builtins.PyCapsule initialize_simulation(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : rosetta.protocols.canonical_sampling.MetropolisHastingsMover, cycle : int) -> NoneType last_mutation(...) from builtins.PyCapsule last_mutation(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool   get whether the last move mutated the residue last_nchi(...) from builtins.PyCapsule last_nchi(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> int   get the number of chi angles sampled in the last move last_proposal_density_ratio(...) from builtins.PyCapsule last_proposal_density_ratio(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> float   get the ratio of proposal densities for the last move last_uniform(...) from builtins.PyCapsule last_uniform(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool   get whether the last move used uniform chi sampling last_withinrot(...) from builtins.PyCapsule last_withinrot(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool   get whether the last move sampled within the same rotamer make_move(...) from builtins.PyCapsule make_move(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, res : rosetta.core.conformation.Residue) -> rosetta.core.conformation.Residue next_resnum(...) from builtins.PyCapsule next_resnum(*args, **kwargs) Overloaded function.   1. next_resnum(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> int   get the next residue to be changed, 0 means a random will be chosen   2. next_resnum(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, resnum : int) -> NoneType   set the next residue to be changed, 0 means a random will be chosen packed_residues(...) from builtins.PyCapsule packed_residues(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> rosetta.utility.vector1_unsigned_long   get the residues that can be changed by this mover preserve_detailed_balance(...) from builtins.PyCapsule preserve_detailed_balance(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool   get whether detailed balance is preserved (i.e. proposal density ratio calculated) prob_random_pert_current(...) from builtins.PyCapsule prob_random_pert_current(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> float prob_uniform(...) from builtins.PyCapsule prob_uniform(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> float   get the probability of uniformly sampling chi angles prob_withinrot(...) from builtins.PyCapsule prob_withinrot(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> float   get the probability of sampling within the same rotamer proposal_density(...) from builtins.PyCapsule proposal_density(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, proposed_residue : rosetta.core.conformation.Residue, proposed_resnum : int, initial_residue_type : rosetta.core.chemical.ResidueType, initial_chi_angles : rosetta.utility.vector1_double) -> float residue_packed(...) from builtins.PyCapsule residue_packed(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> rosetta.utility.vector1_bool   get a vector indicating whether each residue can be packed rotamer_library(...) from builtins.PyCapsule rotamer_library(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> rosetta.core.pack.dunbrack.RotamerLibrary   get the rotamer library sampling_temperature(...) from builtins.PyCapsule sampling_temperature(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> float set_change_chi_without_replacing_residue(...) from builtins.PyCapsule set_change_chi_without_replacing_residue(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, change_chi_without_replacing_residue : bool) -> NoneType   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. set_preserve_detailed_balance(...) from builtins.PyCapsule set_preserve_detailed_balance(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, preserve_detailed_balance : bool) -> NoneType   set whether detailed balance is preserved (i.e. proposal density ratio calculated) set_prob_random_pert_current(...) from builtins.PyCapsule set_prob_random_pert_current(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, prob_pert : float) -> NoneType set_prob_uniform(...) from builtins.PyCapsule set_prob_uniform(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, prob_uniform : float) -> NoneType   set the probability of uniformly sampling chi angles set_prob_withinrot(...) from builtins.PyCapsule set_prob_withinrot(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, prob_withinrot : float) -> NoneType   set the probability of sampling within the same rotamer set_sampling_temperature(...) from builtins.PyCapsule set_sampling_temperature(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, temp : float) -> NoneType   set temperature for bias sampling at dunbrack distribution set_task(...) from builtins.PyCapsule set_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, task : rosetta.core.pack.task.PackerTask) -> NoneType   set the task set_task_factory(...) from builtins.PyCapsule set_task_factory(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, task_factory : rosetta.core.pack.task.TaskFactory) -> NoneType   set the task factory task(...) from builtins.PyCapsule task(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> rosetta.core.pack.task.PackerTask   get the packer task task_factory(...) from builtins.PyCapsule task_factory(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> rosetta.core.pack.task.TaskFactory   get the task factory task_initialized(...) from builtins.PyCapsule task_initialized(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> bool test_move(...) from builtins.PyCapsule test_move(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover,  : rosetta.core.pose.Pose) -> NoneType   test the backrub move torsion_id_ranges(...) from builtins.PyCapsule torsion_id_ranges(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMover, pose : rosetta.core.pose.Pose) -> rosetta.utility.vector1_core_id_TorsionID_Range   get the TorsionIDs perturbed by the mover during moves, along with their ranges update_type(...) from builtins.PyCapsule update_type(rosetta.protocols.simple_moves.sidechain_moves.SidechainMover) -> NoneType   update string describing the move type Methods inherited from rosetta.protocols.canonical_sampling.ThermodynamicMover: assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.canonical_sampling.ThermodynamicMover,  : rosetta.protocols.canonical_sampling.ThermodynamicMover) -> rosetta.protocols.canonical_sampling.ThermodynamicMover finalize_simulation(...) from builtins.PyCapsule finalize_simulation(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after all Monte Carlo trials are completed. is_multi_trial(...) from builtins.PyCapsule is_multi_trial(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> bool   Return true if the move performs multiple trials on each apply.      last_inner_score_delta_over_temperature()      metropolis_hastings_mover()      set_metropolis_hastings_mover() last_inner_score_delta_over_temperature(...) from builtins.PyCapsule last_inner_score_delta_over_temperature(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> float   If this is a multi-trial move, return the change in internal  score/temperature caused by the last call to apply().      is_multi_trial() metropolis_hastings_mover(...) from builtins.PyCapsule metropolis_hastings_mover(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t   If this is a multi-trial move, return the MetropolisHastingsMover  being used internally.      is_multi_trial() observe_after_metropolis(...) from builtins.PyCapsule observe_after_metropolis(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after the Metropolis criterion is evaluated. set_metropolis_hastings_mover(...) from builtins.PyCapsule set_metropolis_hastings_mover(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, metropolis_hastings_mover : rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t) -> NoneType   If this is a multi-trial move, set the MetropolisHastingsMover to  be used internally.      is_multi_trial() Methods inherited from rosetta.protocols.moves.Mover: clear_info(...) from builtins.PyCapsule clear_info(rosetta.protocols.moves.Mover) -> NoneType   Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.      clear_info is called by jd2 before calling apply create(...) from builtins.PyCapsule create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover fresh_instance(...) from builtins.PyCapsule fresh_instance(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   Generates a new Mover object freshly created with the default ctor. get_additional_output(...) from builtins.PyCapsule get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose   fpd      Mechanism by which a mover may return multiple output poses from a single input pose. get_current_job(...) from builtins.PyCapsule get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob get_current_tag(...) from builtins.PyCapsule get_current_tag(rosetta.protocols.moves.Mover) -> str   A tag is a unique identifier used to identify structures produced  by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )  sets the tag.  This functionality is not intended for use with the 2008 job distributor. get_input_pose(...) from builtins.PyCapsule get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_last_move_status(...) from builtins.PyCapsule get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus   returns status after an apply().  The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return. get_native_pose(...) from builtins.PyCapsule get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_self_ptr(...) from builtins.PyCapsule get_self_ptr(*args, **kwargs) Overloaded function.   1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover get_self_weak_ptr(...) from builtins.PyCapsule get_self_weak_ptr(*args, **kwargs) Overloaded function.   1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t   2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t get_type(...) from builtins.PyCapsule get_type(rosetta.protocols.moves.Mover) -> str info(...) from builtins.PyCapsule info(*args, **kwargs) Overloaded function.   1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   non-const accessor   2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   const accessor name(...) from builtins.PyCapsule name() -> str register_options(...) from builtins.PyCapsule register_options(*args, **kwargs) Overloaded function.   1. register_options() -> NoneType   Overload this static method if you access options within the mover.      These options will end up in -help of your application if users of this mover call register_options.  Do this recursively!  If you use movers within your mover, call their register_options in your register_options() method.   2. register_options() -> NoneType   3. register_options() -> NoneType   4. register_options() -> NoneType   5. register_options() -> NoneType   6. register_options() -> NoneType   7. register_options() -> NoneType   8. register_options() -> NoneType   9. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   10. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   11. register_options() -> NoneType   Associates relevant options with the SnugDock class   12. register_options() -> NoneType   Associates relevant options with the SnugDockProtocol class   13. register_options() -> NoneType   Register the options used by this mover with the global options  system.   14. register_options() -> NoneType   15. register_options() -> NoneType   Associate relevant options with the TemperedDocking class.   16. register_options() -> NoneType   17. register_options() -> NoneType   18. register_options() -> NoneType   Associates relevant options with the TemperedDocking class.   19. register_options() -> NoneType   20. register_options() -> NoneType   Associates relevant options with the ConstraintSetMover class   21. register_options() -> NoneType   22. register_options() -> NoneType   Associates relevant options with the DockingInitialPerturbation class   23. register_options() -> NoneType   Associates relevant options with the DockingProtocol class   24. register_options() -> NoneType   Associates relevant options with the TemperedDocking class   25. register_options() -> NoneType   26. register_options() -> NoneType   27. register_options() -> NoneType   28. register_options() -> NoneType   register options   29. register_options() -> NoneType   30. register_options() -> NoneType   Registers applicable options   31. register_options() -> NoneType   Register options with the option system.   32. register_options() -> NoneType   33. register_options() -> NoneType   34. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   35. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycleContainer class   36. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   37. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   38. register_options() -> NoneType   39. register_options() -> NoneType   Register options with the option system.   40. register_options() -> NoneType reinitialize_for_each_job(...) from builtins.PyCapsule reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on  each use. reinitialize_for_new_input(...) from builtins.PyCapsule reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input  pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for  that one input pose). reset_status(...) from builtins.PyCapsule reset_status(rosetta.protocols.moves.Mover) -> NoneType   resets status to SUCCESS, meant to be used before an apply().  The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s. set_current_job(...) from builtins.PyCapsule set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType   ////////////////////////////end Job Distributor interface//////////////////////////////////////// set_current_tag(...) from builtins.PyCapsule set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType set_input_pose(...) from builtins.PyCapsule set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for poses contained for rms set_native_pose(...) from builtins.PyCapsule set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe set_type(...) from builtins.PyCapsule set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType type(...) from builtins.PyCapsule type(*args, **kwargs) Overloaded function.   1. type(rosetta.protocols.moves.Mover) -> str   2. type(self : rosetta.protocols.moves.Mover, type_in : str) -> NoneType   class SidechainMoverBase(rosetta.protocols.canonical_sampling.ThermodynamicMover)     class for non-discrete side chain sampling using Dunbrack rotamer probabilities/distributions     Method resolution order: SidechainMoverBase rosetta.protocols.canonical_sampling.ThermodynamicMover rosetta.protocols.moves.Mover builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(*args, **kwargs) Overloaded function.   1. __init__(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> NoneType   2. __init__(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, rotamer_library : rosetta.core.pack.dunbrack.RotamerLibrary) -> NoneType   3. __init__(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. apply(...) from builtins.PyCapsule apply(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   apply a sidechain move to a Pose object change_chi_without_replacing_residue(...) from builtins.PyCapsule change_chi_without_replacing_residue(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. compute_proposal_density(...) from builtins.PyCapsule compute_proposal_density(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, new_residue : rosetta.core.conformation.Residue, resnum : int, old_res_type : rosetta.core.chemical.ResidueType, old_chi : rosetta.utility.vector1_double) -> float get_name(...) from builtins.PyCapsule get_name(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> str have_mutated_residue(...) from builtins.PyCapsule have_mutated_residue(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   return true if your last move has mutated residue --- make sure the residue is replaced entirely idealize_sidechains(...) from builtins.PyCapsule idealize_sidechains(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   idealize sidechains that might be altered init_task(...) from builtins.PyCapsule init_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> NoneType   initialize the packer task if necessary initialize_simulation(...) from builtins.PyCapsule initialize_simulation(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : rosetta.protocols.canonical_sampling.MetropolisHastingsMover, cycle : int) -> NoneType last_proposal_density_ratio(...) from builtins.PyCapsule last_proposal_density_ratio(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> float   get the ratio of proposal densities for the last move make_chi_move(...) from builtins.PyCapsule make_chi_move(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, residue : rosetta.core.conformation.Residue, old_chi : rosetta.utility.vector1_double, new_chi : rosetta.utility.vector1_double) -> NoneType make_move(...) from builtins.PyCapsule make_move(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, res : rosetta.core.conformation.Residue) -> rosetta.core.conformation.Residue packed_residues(...) from builtins.PyCapsule packed_residues(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.utility.vector1_unsigned_long   get the residues that can be changed by this mover preserve_detailed_balance(...) from builtins.PyCapsule preserve_detailed_balance(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> bool   get whether detailed balance is preserved (i.e. proposal density ratio calculated) residue_packed(...) from builtins.PyCapsule residue_packed(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.utility.vector1_bool   get a vector indicating whether each residue can be packed rotamer_library(...) from builtins.PyCapsule rotamer_library(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.dunbrack.RotamerLibrary   get the rotamer library set_change_chi_without_replacing_residue(...) from builtins.PyCapsule set_change_chi_without_replacing_residue(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, setting : bool) -> NoneType   perform direct chi manipulations rather than using replace_residue to effect rotamer changes; useful if things are kinematically dependent on a sidechain. set_preserve_detailed_balance(...) from builtins.PyCapsule set_preserve_detailed_balance(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, setting : bool) -> NoneType   set whether detailed balance is preserved (i.e. proposal density ratio calculated) set_task(...) from builtins.PyCapsule set_task(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, task : rosetta.core.pack.task.PackerTask) -> NoneType   set the task set_task_factory(...) from builtins.PyCapsule set_task_factory(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, task_factory : rosetta.core.pack.task.TaskFactory) -> NoneType   set the task factory suggest_residue_number(...) from builtins.PyCapsule suggest_residue_number(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase,  : rosetta.core.pose.Pose) -> int task(...) from builtins.PyCapsule task(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.task.PackerTask   get the packer task task_factory(...) from builtins.PyCapsule task_factory(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase) -> rosetta.core.pack.task.TaskFactory   get the task factory torsion_id_ranges(...) from builtins.PyCapsule torsion_id_ranges(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverBase, pose : rosetta.core.pose.Pose) -> rosetta.utility.vector1_core_id_TorsionID_Range   get the TorsionIDs perturbed by the mover during moves, along with their ranges Methods inherited from rosetta.protocols.canonical_sampling.ThermodynamicMover: assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.canonical_sampling.ThermodynamicMover,  : rosetta.protocols.canonical_sampling.ThermodynamicMover) -> rosetta.protocols.canonical_sampling.ThermodynamicMover finalize_simulation(...) from builtins.PyCapsule finalize_simulation(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, pose : rosetta.core.pose.Pose, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after all Monte Carlo trials are completed. is_multi_trial(...) from builtins.PyCapsule is_multi_trial(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> bool   Return true if the move performs multiple trials on each apply.      last_inner_score_delta_over_temperature()      metropolis_hastings_mover()      set_metropolis_hastings_mover() last_inner_score_delta_over_temperature(...) from builtins.PyCapsule last_inner_score_delta_over_temperature(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> float   If this is a multi-trial move, return the change in internal  score/temperature caused by the last call to apply().      is_multi_trial() metropolis_hastings_mover(...) from builtins.PyCapsule metropolis_hastings_mover(rosetta.protocols.canonical_sampling.ThermodynamicMover) -> rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t   If this is a multi-trial move, return the MetropolisHastingsMover  being used internally.      is_multi_trial() observe_after_metropolis(...) from builtins.PyCapsule observe_after_metropolis(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, metropolis_hastings_mover : protocols::canonical_sampling::MetropolisHastingsMover) -> NoneType   Callback executed after the Metropolis criterion is evaluated. set_metropolis_hastings_mover(...) from builtins.PyCapsule set_metropolis_hastings_mover(self : rosetta.protocols.canonical_sampling.ThermodynamicMover, metropolis_hastings_mover : rosetta.std.weak_ptr_protocols_canonical_sampling_MetropolisHastingsMover_t) -> NoneType   If this is a multi-trial move, set the MetropolisHastingsMover to  be used internally.      is_multi_trial() Methods inherited from rosetta.protocols.moves.Mover: clear_info(...) from builtins.PyCapsule clear_info(rosetta.protocols.moves.Mover) -> NoneType   Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.      clear_info is called by jd2 before calling apply clone(...) from builtins.PyCapsule clone(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   Return a clone of the Mover object. create(...) from builtins.PyCapsule create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover fresh_instance(...) from builtins.PyCapsule fresh_instance(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   Generates a new Mover object freshly created with the default ctor. get_additional_output(...) from builtins.PyCapsule get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose   fpd      Mechanism by which a mover may return multiple output poses from a single input pose. get_current_job(...) from builtins.PyCapsule get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob get_current_tag(...) from builtins.PyCapsule get_current_tag(rosetta.protocols.moves.Mover) -> str   A tag is a unique identifier used to identify structures produced  by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )  sets the tag.  This functionality is not intended for use with the 2008 job distributor. get_input_pose(...) from builtins.PyCapsule get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_last_move_status(...) from builtins.PyCapsule get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus   returns status after an apply().  The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return. get_native_pose(...) from builtins.PyCapsule get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose get_self_ptr(...) from builtins.PyCapsule get_self_ptr(*args, **kwargs) Overloaded function.   1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover   2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover get_self_weak_ptr(...) from builtins.PyCapsule get_self_weak_ptr(*args, **kwargs) Overloaded function.   1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t   2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t get_type(...) from builtins.PyCapsule get_type(rosetta.protocols.moves.Mover) -> str info(...) from builtins.PyCapsule info(*args, **kwargs) Overloaded function.   1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   non-const accessor   2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t   const accessor name(...) from builtins.PyCapsule name() -> str register_options(...) from builtins.PyCapsule register_options(*args, **kwargs) Overloaded function.   1. register_options() -> NoneType   Overload this static method if you access options within the mover.      These options will end up in -help of your application if users of this mover call register_options.  Do this recursively!  If you use movers within your mover, call their register_options in your register_options() method.   2. register_options() -> NoneType   3. register_options() -> NoneType   4. register_options() -> NoneType   5. register_options() -> NoneType   6. register_options() -> NoneType   7. register_options() -> NoneType   8. register_options() -> NoneType   9. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   10. register_options() -> NoneType   Associates relevant options with the AntibodyModeler class   11. register_options() -> NoneType   Associates relevant options with the SnugDock class   12. register_options() -> NoneType   Associates relevant options with the SnugDockProtocol class   13. register_options() -> NoneType   Register the options used by this mover with the global options  system.   14. register_options() -> NoneType   15. register_options() -> NoneType   Associate relevant options with the TemperedDocking class.   16. register_options() -> NoneType   17. register_options() -> NoneType   18. register_options() -> NoneType   Associates relevant options with the TemperedDocking class.   19. register_options() -> NoneType   20. register_options() -> NoneType   Associates relevant options with the ConstraintSetMover class   21. register_options() -> NoneType   22. register_options() -> NoneType   Associates relevant options with the DockingInitialPerturbation class   23. register_options() -> NoneType   Associates relevant options with the DockingProtocol class   24. register_options() -> NoneType   Associates relevant options with the TemperedDocking class   25. register_options() -> NoneType   26. register_options() -> NoneType   27. register_options() -> NoneType   28. register_options() -> NoneType   register options   29. register_options() -> NoneType   30. register_options() -> NoneType   Registers applicable options   31. register_options() -> NoneType   Register options with the option system.   32. register_options() -> NoneType   33. register_options() -> NoneType   34. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   35. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycleContainer class   36. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   37. register_options() -> NoneType   Associates relevant options with the LoopRefineInnerCycle class   38. register_options() -> NoneType   39. register_options() -> NoneType   Register options with the option system.   40. register_options() -> NoneType reinitialize_for_each_job(...) from builtins.PyCapsule reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on  each use. reinitialize_for_new_input(...) from builtins.PyCapsule reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool   Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input  pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for  that one input pose). reset_status(...) from builtins.PyCapsule reset_status(rosetta.protocols.moves.Mover) -> NoneType   resets status to SUCCESS, meant to be used before an apply().  The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s. set_current_job(...) from builtins.PyCapsule set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType   ////////////////////////////end Job Distributor interface//////////////////////////////////////// set_current_tag(...) from builtins.PyCapsule set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType set_input_pose(...) from builtins.PyCapsule set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for poses contained for rms set_native_pose(...) from builtins.PyCapsule set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe set_type(...) from builtins.PyCapsule set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType test_move(...) from builtins.PyCapsule test_move(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType   : Unit test support function.  Apply one move to a given pose.       Allows extra test specific functions to be called before applying type(...) from builtins.PyCapsule type(*args, **kwargs) Overloaded function.   1. type(rosetta.protocols.moves.Mover) -> str   2. type(self : rosetta.protocols.moves.Mover, type_in : str) -> NoneType   class SidechainMoverCreator(rosetta.protocols.moves.MoverCreator)       Method resolution order: SidechainMoverCreator rosetta.protocols.moves.MoverCreator builtins.object Methods defined here: __init__(...) from builtins.PyCapsule __init__(handle) -> NoneType __new__(*args, **kwargs) from builtins.type Create and return a new object.  See help(type) for accurate signature. assign(...) from builtins.PyCapsule assign(self : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverCreator,  : rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverCreator) -> rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverCreator create_mover(...) from builtins.PyCapsule create_mover(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverCreator) -> rosetta.protocols.moves.Mover keyname(...) from builtins.PyCapsule keyname(rosetta.protocols.simple_moves.sidechain_moves.SidechainMoverCreator) -> str mover_name(...) from builtins.PyCapsule mover_name() -> str