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settings.cpp
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#include "openmc/settings.h"
#include <cmath> // for ceil, pow
#include <limits> // for numeric_limits
#include <string>
#include <fmt/core.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "openmc/capi.h"
#include "openmc/constants.h"
#include "openmc/container_util.h"
#include "openmc/distribution.h"
#include "openmc/distribution_multi.h"
#include "openmc/distribution_spatial.h"
#include "openmc/eigenvalue.h"
#include "openmc/error.h"
#include "openmc/file_utils.h"
#include "openmc/mesh.h"
#include "openmc/message_passing.h"
#include "openmc/output.h"
#include "openmc/random_lcg.h"
#include "openmc/simulation.h"
#include "openmc/source.h"
#include "openmc/string_utils.h"
#include "openmc/tallies/trigger.h"
#include "openmc/volume_calc.h"
#include "openmc/xml_interface.h"
namespace openmc {
//==============================================================================
// Global variables
//==============================================================================
namespace settings {
// Default values for boolean flags
bool assume_separate {false};
bool check_overlaps {false};
bool cmfd_run {false};
bool confidence_intervals {false};
bool create_fission_neutrons {true};
bool dagmc {false};
bool delayed_photon_scaling {true};
bool entropy_on {false};
bool event_based {false};
bool legendre_to_tabular {true};
bool material_cell_offsets {true};
bool output_summary {true};
bool output_tallies {true};
bool particle_restart_run {false};
bool photon_transport {false};
bool reduce_tallies {true};
bool res_scat_on {false};
bool restart_run {false};
bool run_CE {true};
bool source_latest {false};
bool source_separate {false};
bool source_write {true};
bool survival_biasing {false};
bool temperature_multipole {false};
bool trigger_on {false};
bool trigger_predict {false};
bool ufs_on {false};
bool urr_ptables_on {true};
bool write_all_tracks {false};
bool write_initial_source {false};
std::string path_cross_sections;
std::string path_input;
std::string path_output;
std::string path_particle_restart;
std::string path_source;
std::string path_sourcepoint;
std::string path_statepoint;
int32_t n_batches;
int32_t n_inactive {0};
int32_t max_lost_particles {10};
double rel_max_lost_particles {1.0e-6};
int32_t gen_per_batch {1};
int64_t n_particles {-1};
int64_t max_particles_in_flight {100000};
ElectronTreatment electron_treatment {ElectronTreatment::TTB};
std::array<double, 4> energy_cutoff {0.0, 1000.0, 0.0, 0.0};
int legendre_to_tabular_points {C_NONE};
int max_order {0};
int n_log_bins {8000};
int n_max_batches;
ResScatMethod res_scat_method {ResScatMethod::rvs};
double res_scat_energy_min {0.01};
double res_scat_energy_max {1000.0};
std::vector<std::string> res_scat_nuclides;
RunMode run_mode {RunMode::UNSET};
std::unordered_set<int> sourcepoint_batch;
std::unordered_set<int> statepoint_batch;
TemperatureMethod temperature_method {TemperatureMethod::NEAREST};
double temperature_tolerance {10.0};
double temperature_default {293.6};
std::array<double, 2> temperature_range {0.0, 0.0};
int trace_batch;
int trace_gen;
int64_t trace_particle;
std::vector<std::array<int, 3>> track_identifiers;
int trigger_batch_interval {1};
int verbosity {7};
double weight_cutoff {0.25};
double weight_survive {1.0};
} // namespace settings
//==============================================================================
// Functions
//==============================================================================
void get_run_parameters(pugi::xml_node node_base)
{
using namespace settings;
using namespace pugi;
// Check number of particles
if (!check_for_node(node_base, "particles")) {
fatal_error("Need to specify number of particles.");
}
// Get number of particles if it wasn't specified as a command-line argument
if (n_particles == -1) {
n_particles = std::stoll(get_node_value(node_base, "particles"));
}
// Get maximum number of in flight particles for event-based mode
if (check_for_node(node_base, "max_particles_in_flight")) {
max_particles_in_flight = std::stoll(get_node_value(node_base,
"max_particles_in_flight"));
}
// Get number of basic batches
if (check_for_node(node_base, "batches")) {
n_batches = std::stoi(get_node_value(node_base, "batches"));
}
if (!trigger_on) n_max_batches = n_batches;
// Get max number of lost particles
if (check_for_node(node_base, "max_lost_particles")) {
max_lost_particles = std::stoi(get_node_value(node_base, "max_lost_particles"));
}
// Get relative number of lost particles
if (check_for_node(node_base, "rel_max_lost_particles")) {
rel_max_lost_particles = std::stod(get_node_value(node_base, "rel_max_lost_particles"));
}
// Get number of inactive batches
if (run_mode == RunMode::EIGENVALUE) {
if (check_for_node(node_base, "inactive")) {
n_inactive = std::stoi(get_node_value(node_base, "inactive"));
}
if (check_for_node(node_base, "generations_per_batch")) {
gen_per_batch = std::stoi(get_node_value(node_base, "generations_per_batch"));
}
// Preallocate space for keff and entropy by generation
int m = settings::n_max_batches * settings::gen_per_batch;
simulation::k_generation.reserve(m);
simulation::entropy.reserve(m);
// Get the trigger information for keff
if (check_for_node(node_base, "keff_trigger")) {
xml_node node_keff_trigger = node_base.child("keff_trigger");
if (check_for_node(node_keff_trigger, "type")) {
auto temp = get_node_value(node_keff_trigger, "type", true, true);
if (temp == "std_dev") {
keff_trigger.metric = TriggerMetric::standard_deviation;
} else if (temp == "variance") {
keff_trigger.metric = TriggerMetric::variance;
} else if (temp == "rel_err") {
keff_trigger.metric = TriggerMetric::relative_error;
} else {
fatal_error("Unrecognized keff trigger type " + temp);
}
} else {
fatal_error("Specify keff trigger type in settings XML");
}
if (check_for_node(node_keff_trigger, "threshold")) {
keff_trigger.threshold = std::stod(get_node_value(
node_keff_trigger, "threshold"));
} else {
fatal_error("Specify keff trigger threshold in settings XML");
}
}
}
}
void read_settings_xml()
{
using namespace settings;
using namespace pugi;
// Check if settings.xml exists
std::string filename = path_input + "settings.xml";
if (!file_exists(filename)) {
if (run_mode != RunMode::PLOTTING) {
fatal_error(fmt::format(
"Settings XML file '{}' does not exist! In order "
"to run OpenMC, you first need a set of input files; at a minimum, this "
"includes settings.xml, geometry.xml, and materials.xml. Please consult "
"the user's guide at https://docs.openmc.org for further "
"information.", filename
));
} else {
// The settings.xml file is optional if we just want to make a plot.
return;
}
}
// Parse settings.xml file
xml_document doc;
auto result = doc.load_file(filename.c_str());
if (!result) {
fatal_error("Error processing settings.xml file.");
}
// Get root element
xml_node root = doc.document_element();
// Verbosity
if (check_for_node(root, "verbosity")) {
verbosity = std::stoi(get_node_value(root, "verbosity"));
}
// DAGMC geometry check
if (check_for_node(root, "dagmc")) {
dagmc = get_node_value_bool(root, "dagmc");
}
#ifndef DAGMC
if (dagmc) {
fatal_error("DAGMC mode unsupported for this build of OpenMC");
}
#endif
// To this point, we haven't displayed any output since we didn't know what
// the verbosity is. Now that we checked for it, show the title if necessary
if (mpi::master) {
if (verbosity >= 2) title();
}
write_message("Reading settings XML file...", 5);
// Find if a multi-group or continuous-energy simulation is desired
if (check_for_node(root, "energy_mode")) {
std::string temp_str = get_node_value(root, "energy_mode", true, true);
if (temp_str == "mg" || temp_str == "multi-group") {
run_CE = false;
} else if (temp_str == "ce" || temp_str == "continuous-energy") {
run_CE = true;
}
}
// Look for deprecated cross_sections.xml file in settings.xml
if (check_for_node(root, "cross_sections")) {
warning("Setting cross_sections in settings.xml has been deprecated."
" The cross_sections are now set in materials.xml and the "
"cross_sections input to materials.xml and the OPENMC_CROSS_SECTIONS"
" environment variable will take precendent over setting "
"cross_sections in settings.xml.");
path_cross_sections = get_node_value(root, "cross_sections");
}
if (!run_CE) {
// Scattering Treatments
if (check_for_node(root, "max_order")) {
max_order = std::stoi(get_node_value(root, "max_order"));
} else {
// Set to default of largest int - 1, which means to use whatever is
// contained in library. This is largest int - 1 because for legendre
// scattering, a value of 1 is added to the order; adding 1 to the largest
// int gets you the largest negative integer, which is not what we want.
max_order = std::numeric_limits<int>::max() - 1;
}
}
// Check for a trigger node and get trigger information
if (check_for_node(root, "trigger")) {
xml_node node_trigger = root.child("trigger");
// Check if trigger(s) are to be turned on
trigger_on = get_node_value_bool(node_trigger, "active");
if (trigger_on) {
if (check_for_node(node_trigger, "max_batches") ){
n_max_batches = std::stoi(get_node_value(node_trigger, "max_batches"));
} else {
fatal_error("<max_batches> must be specified with triggers");
}
// Get the batch interval to check triggers
if (!check_for_node(node_trigger, "batch_interval")){
trigger_predict = true;
} else {
trigger_batch_interval = std::stoi(get_node_value(node_trigger, "batch_interval"));
if (trigger_batch_interval <= 0) {
fatal_error("Trigger batch interval must be greater than zero");
}
}
}
}
// Check run mode if it hasn't been set from the command line
xml_node node_mode;
if (run_mode == RunMode::UNSET) {
if (check_for_node(root, "run_mode")) {
std::string temp_str = get_node_value(root, "run_mode", true, true);
if (temp_str == "eigenvalue") {
run_mode = RunMode::EIGENVALUE;
} else if (temp_str == "fixed source") {
run_mode = RunMode::FIXED_SOURCE;
} else if (temp_str == "plot") {
run_mode = RunMode::PLOTTING;
} else if (temp_str == "particle restart") {
run_mode = RunMode::PARTICLE;
} else if (temp_str == "volume") {
run_mode = RunMode::VOLUME;
} else {
fatal_error("Unrecognized run mode: " + temp_str);
}
// Assume XML specifies <particles>, <batches>, etc. directly
node_mode = root;
} else {
warning("<run_mode> should be specified.");
// Make sure that either eigenvalue or fixed source was specified
node_mode = root.child("eigenvalue");
if (node_mode) {
run_mode = RunMode::EIGENVALUE;
} else {
node_mode = root.child("fixed_source");
if (node_mode) {
run_mode = RunMode::FIXED_SOURCE;
} else {
fatal_error("<eigenvalue> or <fixed_source> not specified.");
}
}
}
}
if (run_mode == RunMode::EIGENVALUE || run_mode == RunMode::FIXED_SOURCE) {
// Read run parameters
get_run_parameters(node_mode);
// Check number of active batches, inactive batches, max lost particles and particles
if (n_batches <= n_inactive) {
fatal_error("Number of active batches must be greater than zero.");
} else if (n_inactive < 0) {
fatal_error("Number of inactive batches must be non-negative.");
} else if (n_particles <= 0) {
fatal_error("Number of particles must be greater than zero.");
} else if (max_lost_particles <= 0) {
fatal_error("Number of max lost particles must be greater than zero.");
} else if (rel_max_lost_particles <= 0.0 || rel_max_lost_particles >= 1.0) {
fatal_error("Relative max lost particles must be between zero and one.");
}
}
// Copy random number seed if specified
if (check_for_node(root, "seed")) {
auto seed = std::stoll(get_node_value(root, "seed"));
openmc_set_seed(seed);
}
// Check for electron treatment
if (check_for_node(root, "electron_treatment")) {
auto temp_str = get_node_value(root, "electron_treatment", true, true);
if (temp_str == "led") {
electron_treatment = ElectronTreatment::LED;
} else if (temp_str == "ttb") {
electron_treatment = ElectronTreatment::TTB;
} else {
fatal_error("Unrecognized electron treatment: " + temp_str + ".");
}
}
// Check for photon transport
if (check_for_node(root, "photon_transport")) {
photon_transport = get_node_value_bool(root, "photon_transport");
if (!run_CE && photon_transport) {
fatal_error("Photon transport is not currently supported in "
"multigroup mode");
}
}
// Number of bins for logarithmic grid
if (check_for_node(root, "log_grid_bins")) {
n_log_bins = std::stoi(get_node_value(root, "log_grid_bins"));
if (n_log_bins < 1) {
fatal_error("Number of bins for logarithmic grid must be greater "
"than zero.");
}
}
// Number of OpenMP threads
if (check_for_node(root, "threads")) {
if (mpi::master) warning("The <threads> element has been deprecated. Use "
"the OMP_NUM_THREADS environment variable to set the number of threads.");
}
// ==========================================================================
// EXTERNAL SOURCE
// Get point to list of <source> elements and make sure there is at least one
for (pugi::xml_node node : root.children("source")) {
model::external_sources.emplace_back(node);
}
// If no source specified, default to isotropic point source at origin with Watt spectrum
if (model::external_sources.empty()) {
SourceDistribution source {
UPtrSpace{new SpatialPoint({0.0, 0.0, 0.0})},
UPtrAngle{new Isotropic()},
UPtrDist{new Watt(0.988e6, 2.249e-6)}
};
model::external_sources.push_back(std::move(source));
}
// Check if we want to write out source
if (check_for_node(root, "write_initial_source")) {
write_initial_source = get_node_value_bool(root, "write_initial_source");
}
// Survival biasing
if (check_for_node(root, "survival_biasing")) {
survival_biasing = get_node_value_bool(root, "survival_biasing");
}
// Probability tables
if (check_for_node(root, "ptables")) {
urr_ptables_on = get_node_value_bool(root, "ptables");
}
// Cutoffs
if (check_for_node(root, "cutoff")) {
xml_node node_cutoff = root.child("cutoff");
if (check_for_node(node_cutoff, "weight")) {
weight_cutoff = std::stod(get_node_value(node_cutoff, "weight"));
}
if (check_for_node(node_cutoff, "weight_avg")) {
weight_survive = std::stod(get_node_value(node_cutoff, "weight_avg"));
}
if (check_for_node(node_cutoff, "energy_neutron")) {
energy_cutoff[0] = std::stod(get_node_value(node_cutoff, "energy_neutron"));
} else if (check_for_node(node_cutoff, "energy")) {
warning("The use of an <energy> cutoff is deprecated and should "
"be replaced by <energy_neutron>.");
energy_cutoff[0] = std::stod(get_node_value(node_cutoff, "energy"));
}
if (check_for_node(node_cutoff, "energy_photon")) {
energy_cutoff[1] = std::stod(get_node_value(node_cutoff, "energy_photon"));
}
if (check_for_node(node_cutoff, "energy_electron")) {
energy_cutoff[2] = std::stof(get_node_value(node_cutoff, "energy_electron"));
}
if (check_for_node(node_cutoff, "energy_positron")) {
energy_cutoff[3] = std::stod(get_node_value(node_cutoff, "energy_positron"));
}
}
// Particle trace
if (check_for_node(root, "trace")) {
auto temp = get_node_array<int64_t>(root, "trace");
if (temp.size() != 3) {
fatal_error("Must provide 3 integers for <trace> that specify the "
"batch, generation, and particle number.");
}
trace_batch = temp.at(0);
trace_gen = temp.at(1);
trace_particle = temp.at(2);
}
// Particle tracks
if (check_for_node(root, "track")) {
// Get values and make sure there are three per particle
auto temp = get_node_array<int>(root, "track");
if (temp.size() % 3 != 0) {
fatal_error("Number of integers specified in 'track' is not "
"divisible by 3. Please provide 3 integers per particle to be "
"tracked.");
}
// Reshape into track_identifiers
int n_tracks = temp.size() / 3;
for (int i = 0; i < n_tracks; ++i) {
track_identifiers.push_back({temp[3*i], temp[3*i + 1],
temp[3*i + 2]});
}
}
// Read meshes
read_meshes(root);
// Shannon Entropy mesh
int32_t index_entropy_mesh = -1;
if (check_for_node(root, "entropy_mesh")) {
int temp = std::stoi(get_node_value(root, "entropy_mesh"));
if (model::mesh_map.find(temp) == model::mesh_map.end()) {
fatal_error(fmt::format(
"Mesh {} specified for Shannon entropy does not exist.", temp));
}
index_entropy_mesh = model::mesh_map.at(temp);
} else if (check_for_node(root, "entropy")) {
warning("Specifying a Shannon entropy mesh via the <entropy> element "
"is deprecated. Please create a mesh using <mesh> and then reference "
"it by specifying its ID in an <entropy_mesh> element.");
// Read entropy mesh from <entropy>
auto node_entropy = root.child("entropy");
model::meshes.push_back(std::make_unique<RegularMesh>(node_entropy));
// Set entropy mesh index
index_entropy_mesh = model::meshes.size() - 1;
// Assign ID and set mapping
model::meshes.back()->id_ = 10000;
model::mesh_map[10000] = index_entropy_mesh;
}
if (index_entropy_mesh >= 0) {
auto* m = dynamic_cast<RegularMesh*>(
model::meshes[index_entropy_mesh].get());
if (!m) fatal_error("Only regular meshes can be used as an entropy mesh");
simulation::entropy_mesh = m;
if (m->shape_.size() == 0) {
// If the user did not specify how many mesh cells are to be used in
// each direction, we automatically determine an appropriate number of
// cells
int n = std::ceil(std::pow(n_particles / 20.0, 1.0/3.0));
m->shape_ = {n, n, n};
m->n_dimension_ = 3;
// Calculate width
m->width_ = (m->upper_right_ - m->lower_left_) / m->shape_;
}
// Turn on Shannon entropy calculation
entropy_on = true;
}
// Uniform fission source weighting mesh
int32_t i_ufs_mesh = -1;
if (check_for_node(root, "ufs_mesh")) {
auto temp = std::stoi(get_node_value(root, "ufs_mesh"));
if (model::mesh_map.find(temp) == model::mesh_map.end()) {
fatal_error(fmt::format("Mesh {} specified for uniform fission site "
"method does not exist.", temp));
}
i_ufs_mesh = model::mesh_map.at(temp);
} else if (check_for_node(root, "uniform_fs")) {
warning("Specifying a UFS mesh via the <uniform_fs> element "
"is deprecated. Please create a mesh using <mesh> and then reference "
"it by specifying its ID in a <ufs_mesh> element.");
// Read entropy mesh from <entropy>
auto node_ufs = root.child("uniform_fs");
model::meshes.push_back(std::make_unique<RegularMesh>(node_ufs));
// Set entropy mesh index
i_ufs_mesh = model::meshes.size() - 1;
// Assign ID and set mapping
model::meshes.back()->id_ = 10001;
model::mesh_map[10001] = index_entropy_mesh;
}
if (i_ufs_mesh >= 0) {
auto* m = dynamic_cast<RegularMesh*>(model::meshes[i_ufs_mesh].get());
if (!m) fatal_error("Only regular meshes can be used as a UFS mesh");
simulation::ufs_mesh = m;
// Turn on uniform fission source weighting
ufs_on = true;
}
// Check if the user has specified to write state points
if (check_for_node(root, "state_point")) {
// Get pointer to state_point node
auto node_sp = root.child("state_point");
// Determine number of batches at which to store state points
if (check_for_node(node_sp, "batches")) {
// User gave specific batches to write state points
auto temp = get_node_array<int>(node_sp, "batches");
for (const auto& b : temp) {
statepoint_batch.insert(b);
}
} else {
// If neither were specified, write state point at last batch
statepoint_batch.insert(n_batches);
}
} else {
// If no <state_point> tag was present, by default write state point at
// last batch only
statepoint_batch.insert(n_batches);
}
// Check if the user has specified to write source points
if (check_for_node(root, "source_point")) {
// Get source_point node
xml_node node_sp = root.child("source_point");
// Determine batches at which to store source points
if (check_for_node(node_sp, "batches")) {
// User gave specific batches to write source points
auto temp = get_node_array<int>(node_sp, "batches");
for (const auto& b : temp) {
sourcepoint_batch.insert(b);
}
} else {
// If neither were specified, write source points with state points
sourcepoint_batch = statepoint_batch;
}
// Check if the user has specified to write binary source file
if (check_for_node(node_sp, "separate")) {
source_separate = get_node_value_bool(node_sp, "separate");
}
if (check_for_node(node_sp, "write")) {
source_write = get_node_value_bool(node_sp, "write");
}
if (check_for_node(node_sp, "overwrite_latest")) {
source_latest = get_node_value_bool(node_sp, "overwrite_latest");
source_separate = source_latest;
}
} else {
// If no <source_point> tag was present, by default we keep source bank in
// statepoint file and write it out at statepoints intervals
source_separate = false;
sourcepoint_batch = statepoint_batch;
}
// If source is not seperate and is to be written out in the statepoint file,
// make sure that the sourcepoint batch numbers are contained in the
// statepoint list
if (!source_separate) {
for (const auto& b : sourcepoint_batch) {
if (!contains(statepoint_batch, b)) {
fatal_error("Sourcepoint batches are not a subset of statepoint batches.");
}
}
}
// Check if the user has specified to not reduce tallies at the end of every
// batch
if (check_for_node(root, "no_reduce")) {
reduce_tallies = get_node_value_bool(root, "no_reduce");
}
// Check if the user has specified to use confidence intervals for
// uncertainties rather than standard deviations
if (check_for_node(root, "confidence_intervals")) {
confidence_intervals = get_node_value_bool(root, "confidence_intervals");
}
// Check for output options
if (check_for_node(root, "output")) {
// Get pointer to output node
pugi::xml_node node_output = root.child("output");
// Check for summary option
if (check_for_node(node_output, "summary")) {
output_summary = get_node_value_bool(node_output, "summary");
}
// Check for ASCII tallies output option
if (check_for_node(node_output, "tallies")) {
output_tallies = get_node_value_bool(node_output, "tallies");
}
// Set output directory if a path has been specified
if (check_for_node(node_output, "path")) {
path_output = get_node_value(node_output, "path");
if (!ends_with(path_output, "/")) {
path_output += "/";
}
}
}
// Resonance scattering parameters
if (check_for_node(root, "resonance_scattering")) {
xml_node node_res_scat = root.child("resonance_scattering");
// See if resonance scattering is enabled
if (check_for_node(node_res_scat, "enable")) {
res_scat_on = get_node_value_bool(node_res_scat, "enable");
} else {
res_scat_on = true;
}
// Determine what method is used
if (check_for_node(node_res_scat, "method")) {
auto temp = get_node_value(node_res_scat, "method", true, true);
if (temp == "rvs") {
res_scat_method = ResScatMethod::rvs;
} else if (temp == "dbrc") {
res_scat_method = ResScatMethod::dbrc;
} else {
fatal_error("Unrecognized resonance elastic scattering method: "
+ temp + ".");
}
}
// Minimum energy for resonance scattering
if (check_for_node(node_res_scat, "energy_min")) {
res_scat_energy_min = std::stod(get_node_value(node_res_scat, "energy_min"));
}
if (res_scat_energy_min < 0.0) {
fatal_error("Lower resonance scattering energy bound is negative");
}
// Maximum energy for resonance scattering
if (check_for_node(node_res_scat, "energy_max")) {
res_scat_energy_max = std::stod(get_node_value(node_res_scat, "energy_max"));
}
if (res_scat_energy_max < res_scat_energy_min) {
fatal_error("Upper resonance scattering energy bound is below the "
"lower resonance scattering energy bound.");
}
// Get resonance scattering nuclides
if (check_for_node(node_res_scat, "nuclides")) {
res_scat_nuclides = get_node_array<std::string>(node_res_scat, "nuclides");
}
}
// Get volume calculations
for (pugi::xml_node node_vol : root.children("volume_calc")) {
model::volume_calcs.emplace_back(node_vol);
}
// Get temperature settings
if (check_for_node(root, "temperature_default")) {
temperature_default = std::stod(get_node_value(root, "temperature_default"));
}
if (check_for_node(root, "temperature_method")) {
auto temp = get_node_value(root, "temperature_method", true, true);
if (temp == "nearest") {
temperature_method = TemperatureMethod::NEAREST;
} else if (temp == "interpolation") {
temperature_method = TemperatureMethod::INTERPOLATION;
} else {
fatal_error("Unknown temperature method: " + temp);
}
}
if (check_for_node(root, "temperature_tolerance")) {
temperature_tolerance = std::stod(get_node_value(root, "temperature_tolerance"));
}
if (check_for_node(root, "temperature_multipole")) {
temperature_multipole = get_node_value_bool(root, "temperature_multipole");
}
if (check_for_node(root, "temperature_range")) {
auto range = get_node_array<double>(root, "temperature_range");
temperature_range[0] = range.at(0);
temperature_range[1] = range.at(1);
}
// Check for tabular_legendre options
if (check_for_node(root, "tabular_legendre")) {
// Get pointer to tabular_legendre node
xml_node node_tab_leg = root.child("tabular_legendre");
// Check for enable option
if (check_for_node(node_tab_leg, "enable")) {
legendre_to_tabular = get_node_value_bool(node_tab_leg, "enable");
}
// Check for the number of points
if (check_for_node(node_tab_leg, "num_points")) {
legendre_to_tabular_points = std::stoi(get_node_value(
node_tab_leg, "num_points"));
if (legendre_to_tabular_points <= 1 && !run_CE) {
fatal_error("The 'num_points' subelement/attribute of the "
"<tabular_legendre> element must contain a value greater than 1");
}
}
}
// Check whether create fission sites
if (run_mode == RunMode::FIXED_SOURCE) {
if (check_for_node(root, "create_fission_neutrons")) {
create_fission_neutrons = get_node_value_bool(root, "create_fission_neutrons");
}
}
// Check whether to scale fission photon yields
if (check_for_node(root, "delayed_photon_scaling")) {
delayed_photon_scaling = get_node_value_bool(root, "delayed_photon_scaling");
}
// Check whether to use event-based parallelism
if (check_for_node(root, "event_based")) {
event_based = get_node_value_bool(root, "event_based");
}
// Check whether material cell offsets should be generated
if (check_for_node(root, "material_cell_offsets")) {
material_cell_offsets = get_node_value_bool(root, "material_cell_offsets");
}
}
void free_memory_settings() {
settings::statepoint_batch.clear();
settings::sourcepoint_batch.clear();
settings::res_scat_nuclides.clear();
}
} // namespace openmc