LCOV - code coverage report
Current view: top level - include/nodalkernels - ADArrayNodalKernel.h (source / functions) Hit Total Coverage
Test: idaholab/moose framework: #32971 (54bef8) with base c6cf66 Lines: 2 6 33.3 %
Date: 2026-05-29 20:35:17 Functions: 2 4 50.0 %
Legend: Lines: hit not hit

          Line data    Source code
       1             : //* This file is part of the MOOSE framework
       2             : //* https://mooseframework.inl.gov
       3             : //*
       4             : //* All rights reserved, see COPYRIGHT for full restrictions
       5             : //* https://github.com/idaholab/moose/blob/master/COPYRIGHT
       6             : //*
       7             : //* Licensed under LGPL 2.1, please see LICENSE for details
       8             : //* https://www.gnu.org/licenses/lgpl-2.1.html
       9             : 
      10             : #pragma once
      11             : 
      12             : #include "NodalKernelBase.h"
      13             : #include "MooseVariableInterface.h"
      14             : 
      15             : /**
      16             :  * Base class for creating nodal kernels with hand-coded Jacobians
      17             :  */
      18             : class ADArrayNodalKernel : public NodalKernelBase, public MooseVariableInterface<RealEigenVector>
      19             : {
      20             : public:
      21             :   /**
      22             :    * Class constructor.
      23             :    * @param parameters The InputParameters for the object
      24             :    */
      25             :   static InputParameters validParams();
      26             : 
      27             :   ADArrayNodalKernel(const InputParameters & parameters);
      28             : 
      29             :   /**
      30             :    * Compute the residual at the current node.
      31             :    *
      32             :    * Note: This is NOT what a user would normally want to override.
      33             :    * Usually a user would override computeQpResidual()
      34             :    */
      35             :   virtual void computeResidual() override;
      36             : 
      37             :   /**
      38             :    * Compute the Jacobian at one node.
      39             :    *
      40             :    * Note: This is NOT what a user would normally want to override.
      41             :    * Usually a user would override computeQpJacobian()
      42             :    */
      43             :   virtual void computeJacobian() override;
      44             : 
      45             :   /**
      46             :    * Compute the off-diagonal Jacobian at one node.
      47             :    *
      48             :    * Note: This is NOT what a user would normally want to override.
      49             :    * Usually a user would override computeQpOffDiagJacobian()
      50             :    */
      51             :   virtual void computeOffDiagJacobian(unsigned int jvar) override;
      52             : 
      53             :   /**
      54             :    * Gets the variable this is active on
      55             :    * @return the variable
      56             :    */
      57         195 :   const MooseVariableFE<RealEigenVector> & variable() const override { return _var; }
      58             : 
      59          45 :   virtual void jacobianSetup() override { _my_node = nullptr; }
      60             : 
      61             : protected:
      62             :   /**
      63             :    * The user can override this function to compute the residual at a node.
      64             :    */
      65             :   virtual void computeQpResidual(ADRealEigenVector & residual) = 0;
      66             : 
      67             :   /**
      68             :    * Dummy method so we can make derived generic classes that template on <bool is_ad> */
      69           0 :   virtual void computeQpJacobian()
      70             :   {
      71           0 :     mooseError("I'm an AD object, so computeQpJacobian should never be called");
      72             :   }
      73             : 
      74           0 :   void setJacobian(unsigned int, unsigned int, Real)
      75             :   {
      76           0 :     mooseError("I'm an AD object, so setJacobian should never be called");
      77             :   }
      78             : 
      79             :   /// variable this works on
      80             :   MooseVariableFE<RealEigenVector> & _var;
      81             : 
      82             :   /// Value of the unknown variable this is acting on
      83             :   const ADArrayVariableValue & _u;
      84             : 
      85             :   /// Number of components of the array variable
      86             :   const unsigned int _count;
      87             : 
      88             : private:
      89             :   /// Work vector for residual
      90             :   ADRealEigenVector _work_vector;
      91             : 
      92             :   /// Cache variable to make sure we don't do duplicate AD computations
      93             :   const Node * _my_node = nullptr;
      94             : };

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