Line data    Source code

       1           0 : // Distributed under the MIT License.
       2             : // See LICENSE.txt for details.
       3             : 
       4             : #pragma once
       5             : 
       6             : #include <cstddef>
       7             : #include <limits>
       8             : #include <pup.h>
       9             : #include <unordered_map>
      10             : 
      11             : #include "Domain/Amr/Flag.hpp"
      12             : #include "Domain/Structure/ElementId.hpp"
      13             : #include "Options/String.hpp"
      14             : #include "Parallel/GlobalCache.hpp"
      15             : #include "ParallelAlgorithms/Amr/Criteria/Criterion.hpp"
      16             : #include "ParallelAlgorithms/Amr/Criteria/Type.hpp"
      17             : #include "Utilities/MakeArray.hpp"
      18             : #include "Utilities/Serialization/CharmPupable.hpp"
      19             : #include "Utilities/TMPL.hpp"
      20             : 
      21             : namespace amr::Criteria {
      22             : namespace detail {
      23             : amr::Flag random_flag(
      24             :     const std::unordered_map<amr::Flag, size_t>& probability_weights);
      25             : }  // namespace detail
      26             : 
      27             : /*!
      28             :  * \brief Randomly refine (or coarsen) an Element in each dimension.
      29             :  *
      30             :  * You can specify a probability for each possible `amr::Flag`. It is evaluated
      31             :  * in each dimension separately. Details:
      32             :  *
      33             :  * - Probabilities are specified as integer weights. The probability for an
      34             :  *   `amr::Flag` is its weight over the sum of all weights.
      35             :  * - Flags with weight zero do not need to be specified.
      36             :  * - If all weights are zero, `amr::Flag::DoNothing` is always chosen.
      37             :  */
      38             : template <Type CriteriaType>
      39           1 : class Random : public Criterion {
      40             :  public:
      41           0 :   struct ProbabilityWeights {
      42           0 :     using type = std::unordered_map<amr::Flag, size_t>;
      43           0 :     static constexpr Options::String help = {
      44             :         "Possible refinement types and their probability, specified as integer "
      45             :         "weights. The probability for a refinement type is its weight over the "
      46             :         "sum of all weights. For example, set 'Split: 1' and 'DoNothing: 4' to "
      47             :         "split each element with 20% probability. The refinement is evaluated "
      48             :         "in each dimension separately."};
      49             :   };
      50             : 
      51           0 :   using options = tmpl::list<ProbabilityWeights>;
      52             : 
      53           0 :   static constexpr Options::String help = {
      54             :       "Randomly refine (or coarsen) the grid"};
      55             : 
      56           0 :   Random() = default;
      57             : 
      58           0 :   explicit Random(std::unordered_map<amr::Flag, size_t> probability_weights);
      59             : 
      60             :   /// \cond
      61             :   explicit Random(CkMigrateMessage* msg);
      62             :   using PUP::able::register_constructor;
      63             :   WRAPPED_PUPable_decl_template(Random);  // NOLINT
      64             :   /// \endcond
      65             : 
      66           0 :   static std::string name() {
      67             :     return CriteriaType == Type::p ? "RandomP" : "RandomH";
      68             :   }
      69             : 
      70           0 :   Type type() override { return CriteriaType; }
      71             : 
      72           0 :   std::string observation_name() override { return "Random"; }
      73             : 
      74           0 :   using compute_tags_for_observation_box = tmpl::list<>;
      75             : 
      76           0 :   using argument_tags = tmpl::list<>;
      77             : 
      78             :   template <size_t Dim, typename Metavariables>
      79           0 :   auto operator()(Parallel::GlobalCache<Metavariables>& /*cache*/,
      80             :                   const ElementId<Dim>& element_id) const;
      81             : 
      82           0 :   void pup(PUP::er& p) override;
      83             : 
      84             :  private:
      85           0 :   std::unordered_map<amr::Flag, size_t> probability_weights_{};
      86             : };
      87             : 
      88             : template <Type CriteriaType>
      89             : template <size_t Dim, typename Metavariables>
      90             : auto Random<CriteriaType>::operator()(
      91             :     Parallel::GlobalCache<Metavariables>& /*cache*/,
      92             :     const ElementId<Dim>& /*element_id*/) const {
      93             :   auto result = make_array<Dim>(amr::Flag::Undefined);
      94             :   for (size_t d = 0; d < Dim; ++d) {
      95             :     result[d] = detail::random_flag(probability_weights_);
      96             :   }
      97             :   return result;
      98             : }
      99             : }  // namespace amr::Criteria