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exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion Class Reference

The action set to realise AMR. More...

Inheritance diagram for exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion:
Collaboration diagram for exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion:

Public Member Functions

 __init__ (self, solver, guard, build_up_new_refinement_instructions, implement_previous_refinement_instructions, called_by_grid_construction, event_lifetime=2)
 :: Attributes
 
 get_body_of_getGridControlEvents (self)
 
 get_body_of_operation (self, operation_name)
 Return actual C++ code snippets to be inserted into C++ code.
 
 event_lifetime (self)
 
 event_lifetime (self, value)
 By default, a refinement/coarsening event is only alive for one grid sweep.
 
 get_attributes (self)
 Return attributes as copied and pasted into the generated class.
 
 get_action_set_name (self)
 You should replicate this function in each subclass, so you get meaningful action set names (otherwise, it will be AbstractFVActionSet0,1,2,...).
 
 get_includes (self)
 Return include statements that you need.
 
- Public Member Functions inherited from exahype2.solvers.fv.actionsets.AbstractFVActionSet.AbstractFVActionSet
 user_should_modify_template (self)
 Is the user allowed to modify the output.
 
- Public Member Functions inherited from peano4.solversteps.ActionSet.ActionSet
 get_constructor_body (self)
 Define a tailored constructor body.
 
 get_static_initialisations (self, full_qualified_classname)
 
 get_destructor_body (self)
 
 get_body_of_prepareTraversal (self)
 
 get_body_of_unprepareTraversal (self)
 

Data Fields

 guard
 
- Data Fields inherited from peano4.solversteps.ActionSet.ActionSet
 descend_invocation_order
 
 parallel
 

Static Public Attributes

str TemplateAMR
 
- Static Public Attributes inherited from peano4.solversteps.ActionSet.ActionSet
str OPERATION_BEGIN_TRAVERSAL = "beginTraversal"
 
str OPERATION_END_TRAVERSAL = "endTraversal"
 
str OPERATION_CREATE_PERSISTENT_VERTEX = "createPersistentVertex"
 
str OPERATION_DESTROY_PERSISTENT_VERTEX = "destroyPersistentVertex"
 
str OPERATION_CREATE_HANGING_VERTEX = "createHangingVertex"
 
str OPERATION_DESTROY_HANGING_VERTEX = "destroyHangingVertex"
 
str OPERATION_CREATE_PERSISTENT_FACE = "createPersistentFace"
 
str OPERATION_DESTROY_PERSISTENT_FACE = "destroyPersistentFace"
 
str OPERATION_CREATE_HANGING_FACE = "createHangingFace"
 
str OPERATION_DESTROY_HANGING_FACE = "destroyHangingFace"
 
str OPERATION_CREATE_CELL = "createCell"
 
str OPERATION_DESTROY_CELL = "destroyCell"
 
str OPERATION_TOUCH_VERTEX_FIRST_TIME = "touchVertexFirstTime"
 
str OPERATION_TOUCH_VERTEX_LAST_TIME = "touchVertexLastTime"
 
str OPERATION_TOUCH_FACE_FIRST_TIME = "touchFaceFirstTime"
 
str OPERATION_TOUCH_FACE_LAST_TIME = "touchFaceLastTime"
 
str OPERATION_TOUCH_CELL_FIRST_TIME = "touchCellFirstTime"
 
str OPERATION_TOUCH_CELL_LAST_TIME = "touchCellLastTime"
 

Protected Attributes

 _build_up_new_refinement_instructions
 
 _implement_previous_refinement_instructions
 
 _event_lifetime
 
 _called_by_grid_construction
 
- Protected Attributes inherited from exahype2.solvers.fv.actionsets.AbstractFVActionSet.AbstractFVActionSet
 _solver
 

Detailed Description

The action set to realise AMR.

AMR is a multistep process in ExaHyPE. Most of the relevant documentation on it is documented in the class exahype2::RefinementControl.

There are different phases in ExaHyPE: grid generation (either with refinement or without), initialisation, plotting and time stepping. It depends on your solver in which time stepping to use AMR, but the there are some things to take into account that are in common for all schemes:

  • The grid creation does not use any actual solver data, so we should not evalutae the adaptivity criterion here.
  • InitGrid has volumetric data and might want to evaluate the criterion. This is implicitly done by the t=0 check below.
  • The plotting does not alter the solution. It thus makes no sense to evaluate the criterion here.

Please consult EnclaveTasking.create_action_sets for details regarding the handling of AMR within the enclave tasking concept.

Definition at line 9 of file AdaptivityCriterion.py.

Constructor & Destructor Documentation

◆ __init__()

exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.__init__ ( self,
solver,
guard,
build_up_new_refinement_instructions,
implement_previous_refinement_instructions,
called_by_grid_construction,
event_lifetime = 2 )

:: Attributes

_implement_previous_refinement_instructions: Boolean This name might be misleading. Consult exahype2::RefinementControl for a description of the control flow. This flag controls if instructions are picked up from the RefinementControl database.

:: Arguments

guard: C++ expression which evaluates to true or false A per cell decision whether we should study a cell or not.

build_up_new_refinement_instructions: Boolean See remarks on multistep realisation of AMR in C++ class exahype2::RefinementControl.

implement_previous_refinement_instructions: Boolean See remarks on multistep realisation of AMR in C++ class exahype2::RefinementControl.

event_lifetime: Int See setter below

Reimplemented from exahype2.solvers.fv.actionsets.AbstractFVActionSet.AbstractFVActionSet.

Definition at line 116 of file AdaptivityCriterion.py.

Member Function Documentation

◆ event_lifetime() [1/2]

◆ event_lifetime() [2/2]

exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.event_lifetime ( self,
value )

By default, a refinement/coarsening event is only alive for one grid sweep.

After that one, the set of refine/coarsen commands is reset and we start again. If you work with local time stepping, subcycling, multiphysics codes, you might want to keep an event for more steps. In this case, you have to invoke this setter.

Definition at line 209 of file AdaptivityCriterion.py.

References exahype2.solvers.aderdg.actionsets.AdaptivityCriterion.AdaptivityCriterion._event_lifetime, exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion._event_lifetime, exahype2.solvers.rkdg.actionsets.AdaptivityCriterion.AdaptivityCriterion._event_lifetime, and exahype2.solvers.rkfd.actionsets.AdaptivityCriterion.AdaptivityCriterion._event_lifetime.

◆ get_action_set_name()

exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.get_action_set_name ( self)

You should replicate this function in each subclass, so you get meaningful action set names (otherwise, it will be AbstractFVActionSet0,1,2,...).

Reimplemented from exahype2.solvers.fv.actionsets.AbstractFVActionSet.AbstractFVActionSet.

Definition at line 228 of file AdaptivityCriterion.py.

◆ get_attributes()

exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.get_attributes ( self)

Return attributes as copied and pasted into the generated class.

Please note that action sets are not persistent, i.e. there is one object creation per grid sweep per tree.

Reimplemented from peano4.solversteps.ActionSet.ActionSet.

Definition at line 222 of file AdaptivityCriterion.py.

◆ get_body_of_getGridControlEvents()

◆ get_body_of_operation()

exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.get_body_of_operation ( self,
operation_name )

Return actual C++ code snippets to be inserted into C++ code.

See class' string constants starting with OPERATION_ for possible values of operation_name.

Reimplemented from peano4.solversteps.ActionSet.ActionSet.

Definition at line 170 of file AdaptivityCriterion.py.

References exahype2.solvers.aderdg.actionsets.AdaptivityCriterion.AdaptivityCriterion._build_up_new_refinement_instructions, exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion._build_up_new_refinement_instructions, exahype2.solvers.rkdg.actionsets.AdaptivityCriterion.AdaptivityCriterion._build_up_new_refinement_instructions, exahype2.solvers.rkfd.actionsets.AdaptivityCriterion.AdaptivityCriterion._build_up_new_refinement_instructions, exahype2.solvers.aderdg.actionsets.AdaptivityCriterion.AdaptivityCriterion._called_by_grid_construction, exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion._called_by_grid_construction, exahype2.solvers.rkdg.actionsets.AdaptivityCriterion.AdaptivityCriterion._called_by_grid_construction, exahype2.solvers.rkfd.actionsets.AdaptivityCriterion.AdaptivityCriterion._called_by_grid_construction, exahype2.solvers.aderdg.actionsets.AdaptivityCriterion.AdaptivityCriterion._event_lifetime, exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion._event_lifetime, exahype2.solvers.rkdg.actionsets.AdaptivityCriterion.AdaptivityCriterion._event_lifetime, exahype2.solvers.rkfd.actionsets.AdaptivityCriterion.AdaptivityCriterion._event_lifetime, ComputeFirstDerivatives.ComputeFirstDerivativesFD4RK._solver, exahype2.solvers.aderdg.actionsets.AbstractADERDGActionSet.AbstractADERDGActionSet._solver, exahype2.solvers.fv.actionsets.AbstractFVActionSet.AbstractFVActionSet._solver, exahype2.solvers.fv.EnclaveTasking.UpdateCell._solver, exahype2.solvers.fv.SingleSweep.UpdateCell._solver, exahype2.solvers.limiting.actionsets.AbstractLimiterActionSet.AbstractLimiterActionSet._solver, exahype2.solvers.rkdg.actionsets.AbstractRungeKuttaDGActionSet.AbstractRungeKuttaDGActionSet._solver, exahype2.solvers.rkfd.actionsets.AbstractRKFDActionSet.AbstractRKFDActionSet._solver, exahype2.solvers.rkfd.actionsets.PreprocessSolution.PreprocessReconstructedSolutionWithHalo._solver, exahype2.solvers.rkfd.OneSweepPerRungeKuttaStep.UpdateCell._solver, exahype2.solvers.rkfd.SeparateSweeps.UpdateCell._solver, exahype2.solvers.rkfd.SeparateSweepsWithEnclaveTasking.UpdateCell._solver, exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.guard, exahype2.solvers.fv.actionsets.HandleBoundary.HandleBoundary.guard, exahype2.solvers.fv.actionsets.InitialCondition.InitialCondition.guard, exahype2.solvers.fv.actionsets.PostprocessSolution.EmptyPostprocessSolution.guard, exahype2.solvers.fv.actionsets.PostprocessSolution.VolumeWisePostprocessSolution.guard, exahype2.solvers.fv.actionsets.PreprocessSolution.EmptyPreprocessSolution.guard, exahype2.solvers.fv.actionsets.PreprocessSolution.VolumeWisePreprocessSolution.guard, exahype2.solvers.fv.EnclaveTasking.MergeEnclaveTaskOutcome.guard, exahype2.solvers.limiting.actionsets.SaveNewCellData.SaveNewCellData.guard, exahype2.solvers.limiting.actionsets.SpreadLimiterStatus.SpreadLimiterStatus.guard, exahype2.solvers.limiting.actionsets.VerifyTroubledness.VerifyTroubledness.guard, exahype2.solvers.rkdg.actionsets.AdaptivityCriterion.AdaptivityCriterion.guard, exahype2.solvers.rkdg.actionsets.ComputeFinalLinearCombination.ComputeFinalLinearCombination.guard, exahype2.solvers.rkdg.actionsets.InitialCondition.InitialCondition.guard, exahype2.solvers.rkdg.actionsets.PostprocessSolution.EmptyPostprocessSolution.guard, exahype2.solvers.rkdg.actionsets.PostprocessSolution.DoFWisePostprocessSolution.guard, exahype2.solvers.rkdg.actionsets.PostprocessSolution.CellWisePostprocessSolution.guard, exahype2.solvers.rkdg.actionsets.PreprocessSolution.EmptyPreprocessSolution.guard, exahype2.solvers.rkdg.actionsets.PreprocessSolution.DoFWisePreprocessSolution.guard, exahype2.solvers.rkdg.actionsets.PreprocessSolution.CellWisePreprocessSolution.guard, exahype2.solvers.rkfd.actionsets.AdaptivityCriterion.AdaptivityCriterion.guard, exahype2.solvers.rkfd.actionsets.ComputeFinalLinearCombination.ComputeFinalLinearCombination.guard, exahype2.solvers.rkfd.actionsets.HandleBoundary.HandleBoundary.guard, exahype2.solvers.rkfd.actionsets.InitialCondition.InitialCondition.guard, exahype2.solvers.rkfd.actionsets.PostprocessSolution.EmptyPostprocessSolution.guard, exahype2.solvers.rkfd.actionsets.PostprocessSolution.CellWisePostprocessSolution.guard, exahype2.solvers.rkfd.actionsets.PreprocessSolution.EmptyPreprocessSolution.guard, exahype2.solvers.rkfd.actionsets.PreprocessSolution.CellWisePreprocessSolution.guard, exahype2.solvers.rkfd.actionsets.RollOverUpdatedFace.RollOverUpdatedFace.guard, peano4.toolbox.blockstructured.ProjectPatchOntoFaces.ProjectPatchOntoFaces.guard(), peano4.toolbox.blockstructured.ProjectPatchOntoFaces.ProjectPatchOntoFaces.guard(), peano4.toolbox.blockstructured.ReconstructPatchAndApplyFunctor.ReconstructPatchAndApplyFunctor.guard, exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.TemplateAMR, exahype2.solvers.rkdg.actionsets.AdaptivityCriterion.AdaptivityCriterion.TemplateAMR, and exahype2.solvers.rkfd.actionsets.AdaptivityCriterion.AdaptivityCriterion.TemplateAMR.

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◆ get_includes()

exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.get_includes ( self)

Return include statements that you need.

All of these includes will eventually end up in the header of the generated C++ code.

Reimplemented from exahype2.solvers.fv.actionsets.AbstractFVActionSet.AbstractFVActionSet.

Definition at line 232 of file AdaptivityCriterion.py.

References exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.get_includes().

Referenced by exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.get_includes().

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Field Documentation

◆ _build_up_new_refinement_instructions

◆ _called_by_grid_construction

◆ _event_lifetime

◆ _implement_previous_refinement_instructions

◆ guard

exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.guard

Definition at line 152 of file AdaptivityCriterion.py.

Referenced by peano4.toolbox.blockstructured.ReconstructPatchAndApplyFunctor.ReconstructPatchAndApplyFunctor._add_action_set_entries_to_dictionary(), exahype2.solvers.aderdg.actionsets.Correction.Correction.get_body_of_operation(), exahype2.solvers.aderdg.actionsets.Prediction.Prediction.get_body_of_operation(), exahype2.solvers.fv.actionsets.AdaptivityCriterion.AdaptivityCriterion.get_body_of_operation(), exahype2.solvers.fv.actionsets.InitialCondition.InitialCondition.get_body_of_operation(), exahype2.solvers.fv.actionsets.PostprocessSolution.VolumeWisePostprocessSolution.get_body_of_operation(), exahype2.solvers.fv.actionsets.PreprocessSolution.VolumeWisePreprocessSolution.get_body_of_operation(), exahype2.solvers.fv.EnclaveTasking.MergeEnclaveTaskOutcome.get_body_of_operation(), exahype2.solvers.limiting.actionsets.SaveNewCellData.SaveNewCellData.get_body_of_operation(), exahype2.solvers.limiting.actionsets.SpreadLimiterStatus.SpreadLimiterStatus.get_body_of_operation(), exahype2.solvers.limiting.actionsets.VerifyTroubledness.VerifyTroubledness.get_body_of_operation(), exahype2.solvers.rkdg.actionsets.AdaptivityCriterion.AdaptivityCriterion.get_body_of_operation(), exahype2.solvers.rkdg.actionsets.ComputeFinalLinearCombination.ComputeFinalLinearCombination.get_body_of_operation(), exahype2.solvers.rkdg.actionsets.InitialCondition.InitialCondition.get_body_of_operation(), exahype2.solvers.rkdg.actionsets.PostprocessSolution.DoFWisePostprocessSolution.get_body_of_operation(), exahype2.solvers.rkdg.actionsets.PostprocessSolution.CellWisePostprocessSolution.get_body_of_operation(), exahype2.solvers.rkdg.actionsets.PreprocessSolution.DoFWisePreprocessSolution.get_body_of_operation(), exahype2.solvers.rkdg.actionsets.PreprocessSolution.CellWisePreprocessSolution.get_body_of_operation(), exahype2.solvers.rkfd.actionsets.AdaptivityCriterion.AdaptivityCriterion.get_body_of_operation(), exahype2.solvers.rkfd.actionsets.ComputeFinalLinearCombination.ComputeFinalLinearCombination.get_body_of_operation(), exahype2.solvers.rkfd.actionsets.InitialCondition.InitialCondition.get_body_of_operation(), exahype2.solvers.rkfd.actionsets.PostprocessSolution.CellWisePostprocessSolution.get_body_of_operation(), exahype2.solvers.rkfd.actionsets.PreprocessSolution.CellWisePreprocessSolution.get_body_of_operation(), exahype2.solvers.fv.actionsets.InitialCondition.InitialCondition.get_body_of_prepareTraversal(), and exahype2.solvers.rkfd.actionsets.InitialCondition.InitialCondition.get_body_of_prepareTraversal().

◆ TemplateAMR


The documentation for this class was generated from the following file: