LCOV - code coverage report
Current view: top level - src/interfaces - CovarianceInterface.C (source / functions) Hit Total Coverage
Test: idaholab/moose stochastic_tools: #33416 (b10b36) with base 9fbd27 Lines: 11 14 78.6 %
Date: 2026-07-23 16:21:17 Functions: 2 3 66.7 %
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             : #ifdef MOOSE_LIBTORCH_ENABLED
      10             : 
      11             : #include "CovarianceInterface.h"
      12             : #include "CovarianceFunctionBase.h"
      13             : 
      14             : InputParameters
      15           0 : CovarianceInterface::validParams()
      16             : {
      17           0 :   return emptyInputParameters();
      18             : }
      19             : 
      20         724 : CovarianceInterface::CovarianceInterface(const InputParameters & parameters)
      21         724 :   : _covar_feproblem(*parameters.get<FEProblemBase *>("_fe_problem_base"))
      22             : {
      23         724 : }
      24             : 
      25             : CovarianceFunctionBase *
      26         264 : CovarianceInterface::getCovarianceFunctionByName(const UserObjectName & name) const
      27             : {
      28             :   std::vector<CovarianceFunctionBase *> models;
      29         264 :   _covar_feproblem.theWarehouse()
      30         264 :       .query()
      31         264 :       .condition<AttribName>(name)
      32         264 :       .condition<AttribSystem>("CovarianceFunction")
      33             :       .queryInto(models);
      34         264 :   if (models.empty())
      35           0 :     mooseError("Unable to find a CovarianceFunction object with the name '" + name + "'");
      36         264 :   return models[0];
      37         264 : }
      38             : 
      39             : #endif

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