LCOV - code coverage report
Current view: top level - src/tensor_predictor - TensorPredictor.C (source / functions) Hit Total Coverage
Test: idaholab/swift: #92 (25e020) with base b3cd84 Lines: 0 18 0.0 %
Date: 2025-09-10 17:10:32 Functions: 0 2 0.0 %
Legend: Lines: hit not hit

          Line data    Source code
       1             : /**********************************************************************/
       2             : /*                    DO NOT MODIFY THIS HEADER                       */
       3             : /*             Swift, a Fourier spectral solver for MOOSE             */
       4             : /*                                                                    */
       5             : /*            Copyright 2024 Battelle Energy Alliance, LLC            */
       6             : /*                        ALL RIGHTS RESERVED                         */
       7             : /**********************************************************************/
       8             : 
       9             : #include "TensorPredictor.h"
      10             : #include "TensorBuffer.h"
      11             : #include "TensorProblem.h"
      12             : #include "DomainAction.h"
      13             : 
      14             : InputParameters
      15           0 : TensorPredictor::validParams()
      16             : {
      17           0 :   InputParameters params = MooseObject::validParams();
      18           0 :   params.registerBase("TensorPredictor");
      19           0 :   params.addPrivateParam<TensorProblem *>("_tensor_problem", nullptr);
      20           0 :   params.addPrivateParam<const DomainAction *>("_domain", nullptr);
      21           0 :   params.addClassDescription("TensorPredictor object.");
      22           0 :   params.addRequiredParam<TensorOutputBufferName>("buffer",
      23             :                                                   "The buffer this compute is forward predicting");
      24           0 :   params.addParam<unsigned int>(
      25           0 :       "history_size", 1, "How many old states to use (determines time integration order).");
      26           0 :   return params;
      27           0 : }
      28             : 
      29           0 : TensorPredictor::TensorPredictor(const InputParameters & parameters)
      30             :   : MooseObject(parameters),
      31           0 :     _tensor_problem(*getCheckedPointerParam<TensorProblem *>("_tensor_problem")),
      32           0 :     _domain(*getCheckedPointerParam<const DomainAction *>("_domain")),
      33           0 :     _u_name(getParam<TensorOutputBufferName>("buffer")),
      34           0 :     _u(_tensor_problem.getBuffer(_u_name)),
      35           0 :     _u_old(_tensor_problem.getBufferOld(_u_name, getParam<unsigned int>("history_size")))
      36             : {
      37           0 : }

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