LCOV - code coverage report
Current view: top level - src/samplers - InputMatrixSampler.C (source / functions) Hit Total Coverage
Test: idaholab/moose stochastic_tools: f45d79 Lines: 12 13 92.3 %
Date: 2025-07-25 05:00:46 Functions: 3 3 100.0 %
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             : #include "InputMatrixSampler.h"
      11             : 
      12             : registerMooseObjectAliased("StochasticToolsApp", InputMatrixSampler, "InputMatrix");
      13             : 
      14             : InputParameters
      15         406 : InputMatrixSampler::validParams()
      16             : {
      17         406 :   InputParameters params = Sampler::validParams();
      18         406 :   params.addClassDescription("Sampler that utilizes a sampling matrix defined at input.");
      19         812 :   params.addRequiredParam<RealEigenMatrix>("matrix", "Sampling matrix.");
      20         406 :   return params;
      21           0 : }
      22             : 
      23         236 : InputMatrixSampler::InputMatrixSampler(const InputParameters & parameters)
      24         472 :   : Sampler(parameters), _data(getParam<RealEigenMatrix>("matrix"))
      25             : {
      26         236 :   setNumberOfRows(_data.rows());
      27         236 :   setNumberOfCols(_data.cols());
      28         236 : }
      29             : 
      30             : Real
      31        2500 : InputMatrixSampler::computeSample(dof_id_type row_index, dof_id_type col_index)
      32             : {
      33             :   // Checks to make sure that the row and column indices are not out of bounds
      34             :   // Static cast to avoid compiler warning and not lose information
      35             :   mooseAssert(static_cast<Real>(row_index) < static_cast<Real>(_data.rows()),
      36             :               "row_index cannot be out of bounds of the data.");
      37             :   mooseAssert(static_cast<Real>(col_index) < static_cast<Real>(_data.cols()),
      38             :               "col_index cannot be out of bounds of the data.");
      39             : 
      40        2500 :   return _data(row_index, col_index);
      41             : }

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