LCOV - code coverage report
Current view: top level - include/reporters - MorrisReporter.h (source / functions) Hit Total Coverage
Test: idaholab/moose stochastic_tools: f45d79 Lines: 4 4 100.0 %
Date: 2025-07-25 05:00:46 Functions: 4 4 100.0 %
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             : #pragma once
      11             : 
      12             : #include "GeneralReporter.h"
      13             : #include "VectorCalculators.h"
      14             : 
      15             : #include "nlohmann/json.h"
      16             : 
      17             : class MorrisReporter : public GeneralReporter
      18             : {
      19             : public:
      20             :   static InputParameters validParams();
      21             :   MorrisReporter(const InputParameters & parameters);
      22             : 
      23             :   virtual void initialize() override final;
      24             : 
      25          64 :   virtual void execute() override final {}
      26          64 :   virtual void finalize() override final {}
      27             :   virtual void store(nlohmann::json & json) const override;
      28             : 
      29             : private:
      30             :   /**
      31             :    * Helper for adding Morris reporter values
      32             :    */
      33             :   template <typename DataType>
      34             :   void declareValueHelper(const ReporterName & r_name);
      35             : 
      36             :   /// Morris sampler (don't need any specific functions, but should be this type)
      37             :   Sampler & _sampler;
      38             : 
      39             :   /// CI levels to be computed
      40             :   const std::vector<Real> & _ci_levels;
      41             : 
      42             :   /// Number of CI replicates to use in Bootstrap methods
      43             :   const unsigned int & _ci_replicates;
      44             : 
      45             :   /// Random seed for producing CI replicates
      46             :   const unsigned int & _ci_seed;
      47             : 
      48             :   /// Whether or not initialize() has been called for reporter value declaration
      49             :   bool _initialized;
      50             : };
      51             : 
      52             : template <typename DataType>
      53             : using MorrisState =
      54             :     std::map<std::string, std::pair<std::vector<DataType>, std::vector<std::vector<DataType>>>>;
      55             : 
      56             : template <typename DataType>
      57             : class MorrisReporterContext : public ReporterGeneralContext<MorrisState<DataType>>
      58             : {
      59             : public:
      60             :   MorrisReporterContext(const libMesh::ParallelObject & other,
      61             :                         const MooseObject & producer,
      62             :                         ReporterState<MorrisState<DataType>> & state,
      63             :                         Sampler & sampler,
      64             :                         const std::vector<DataType> & data);
      65             : 
      66             :   MorrisReporterContext(const libMesh::ParallelObject & other,
      67             :                         const MooseObject & producer,
      68             :                         ReporterState<MorrisState<DataType>> & state,
      69             :                         Sampler & sampler,
      70             :                         const std::vector<DataType> & data,
      71             :                         const MooseEnum & ci_method,
      72             :                         const std::vector<Real> & ci_levels,
      73             :                         unsigned int ci_replicates,
      74             :                         unsigned int ci_seed);
      75             : 
      76             :   virtual void finalize() override;
      77          80 :   virtual std::string type() const override
      78             :   {
      79         160 :     return "MorrisSensitivity<" + MooseUtils::prettyCppType<DataType>() + ">";
      80             :   }
      81             : 
      82             : private:
      83             :   /**
      84             :    * Function for computing elementary effects for a single set of trajectories
      85             :    * This is meant to be specialized for different data types
      86             :    */
      87             :   std::vector<DataType> computeElementaryEffects(const RealEigenMatrix & x,
      88             :                                                  const std::vector<DataType> & y) const;
      89             : 
      90             :   /// Morris sampler (don't need any specific functions, but should be this type)
      91             :   Sampler & _sampler;
      92             : 
      93             :   /// Data used for the statistic calculation
      94             :   const std::vector<DataType> & _data;
      95             : 
      96             :   /// Storage for the Calculator object for the desired stat, this is created in constructor
      97             :   std::unique_ptr<StochasticTools::Calculator<std::vector<DataType>, DataType>> _mu_calc;
      98             :   std::unique_ptr<StochasticTools::Calculator<std::vector<DataType>, DataType>> _mustar_calc;
      99             :   std::unique_ptr<StochasticTools::Calculator<std::vector<DataType>, DataType>> _sig_calc;
     100             : 
     101             :   /// Storage for the BootstrapCalculator for the desired confidence interval calculations (optional)
     102             :   std::unique_ptr<StochasticTools::BootstrapCalculator<std::vector<DataType>, DataType>>
     103             :       _ci_mu_calc;
     104             :   std::unique_ptr<StochasticTools::BootstrapCalculator<std::vector<DataType>, DataType>>
     105             :       _ci_mustar_calc;
     106             :   std::unique_ptr<StochasticTools::BootstrapCalculator<std::vector<DataType>, DataType>>
     107             :       _ci_sig_calc;
     108             : };

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