28910660821

Committed 08 Jul 2026 01:24AM UTC coverage: 81.293% (+0.2%) from 81.124%

Build # 28910660821

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Pull #3995

github

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web-flow

Commit Message

Merge e1250b375 into 868450626

Pull Request Pull Request #3995: Shared secondary bank performance optimizations

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56.91

/src/distribution_spatial.cpp

#include "openmc/distribution_spatial.h"

#include "openmc/error.h"
#include "openmc/mesh.h"
#include "openmc/random_lcg.h"
#include "openmc/search.h"
#include "openmc/xml_interface.h"

namespace openmc {

//==============================================================================
// SpatialDistribution implementation
//==============================================================================

unique_ptr<SpatialDistribution> SpatialDistribution::create(pugi::xml_node node)
{
  // Check for type of spatial distribution and read
  std::string type;
  if (check_for_node(node, "type"))
    type = get_node_value(node, "type", true, true);
  if (type == "cartesian") {
    return UPtrSpace {new CartesianIndependent(node)};
  } else if (type == "cylindrical") {
    return UPtrSpace {new CylindricalIndependent(node)};
  } else if (type == "spherical") {
    return UPtrSpace {new SphericalIndependent(node)};
  } else if (type == "mesh") {
    return UPtrSpace {new MeshSpatial(node)};
  } else if (type == "cloud") {
    return UPtrSpace {new PointCloud(node)};
  } else if (type == "box") {
    return UPtrSpace {new SpatialBox(node)};
  } else if (type == "fission") {
    return UPtrSpace {new SpatialBox(node, true)};
  } else if (type == "point") {
    return UPtrSpace {new SpatialPoint(node)};
  } else {
    fatal_error(fmt::format(
      "Invalid spatial distribution for external source: {}", type));
  }
}

//==============================================================================
// CartesianIndependent implementation
//==============================================================================

CartesianIndependent::CartesianIndependent(pugi::xml_node node)
{
  // Read distribution for x coordinate
  if (check_for_node(node, "x")) {
    pugi::xml_node node_dist = node.child("x");
    x_ = distribution_from_xml(node_dist);
  } else {
    // If no distribution was specified, default to a single point at x=0
    double x[] {0.0};
    double p[] {1.0};
    x_ = UPtrDist {new Discrete {x, p, 1}};
  }

  // Read distribution for y coordinate
  if (check_for_node(node, "y")) {
    pugi::xml_node node_dist = node.child("y");
    y_ = distribution_from_xml(node_dist);
  } else {
    // If no distribution was specified, default to a single point at y=0
    double x[] {0.0};
    double p[] {1.0};
    y_ = UPtrDist {new Discrete {x, p, 1}};
  }

  // Read distribution for z coordinate
  if (check_for_node(node, "z")) {
    pugi::xml_node node_dist = node.child("z");
    z_ = distribution_from_xml(node_dist);
  } else {
    // If no distribution was specified, default to a single point at z=0
    double x[] {0.0};
    double p[] {1.0};
    z_ = UPtrDist {new Discrete {x, p, 1}};
  }
}

std::pair<Position, double> CartesianIndependent::sample(uint64_t* seed) const
{
  auto [x_val, x_wgt] = x_->sample(seed);
  auto [y_val, y_wgt] = y_->sample(seed);
  auto [z_val, z_wgt] = z_->sample(seed);
  Position xi {x_val, y_val, z_val};
  return {xi, x_wgt * y_wgt * z_wgt};
}

//==============================================================================
// CylindricalIndependent implementation
//==============================================================================

CylindricalIndependent::CylindricalIndependent(pugi::xml_node node)
{
  // Read distribution for r-coordinate
  if (check_for_node(node, "r")) {
    pugi::xml_node node_dist = node.child("r");
    r_ = distribution_from_xml(node_dist);
  } else {
    // If no distribution was specified, default to a single point at r=0
    double x[] {0.0};
    double p[] {1.0};
    r_ = make_unique<Discrete>(x, p, 1);
  }

  // Read distribution for phi-coordinate
  if (check_for_node(node, "phi")) {
    pugi::xml_node node_dist = node.child("phi");
    phi_ = distribution_from_xml(node_dist);
  } else {
    // If no distribution was specified, default to a single point at phi=0
    double x[] {0.0};
    double p[] {1.0};
    phi_ = make_unique<Discrete>(x, p, 1);
  }

  // Read distribution for z-coordinate
  if (check_for_node(node, "z")) {
    pugi::xml_node node_dist = node.child("z");
    z_ = distribution_from_xml(node_dist);
  } else {
    // If no distribution was specified, default to a single point at z=0
    double x[] {0.0};
    double p[] {1.0};
    z_ = make_unique<Discrete>(x, p, 1);
  }

  // Read cylinder center coordinates
  if (check_for_node(node, "origin")) {
    auto origin = get_node_array<double>(node, "origin");
    if (origin.size() == 3) {
      origin_ = origin;
    } else {
      fatal_error(
        "Origin for cylindrical source distribution must be length 3");
    }
  } else {
    // If no coordinates were specified, default to (0, 0, 0)
    origin_ = {0.0, 0.0, 0.0};
  }

  // Read cylinder z_dir
  if (check_for_node(node, "z_dir")) {
    auto z_dir = get_node_array<double>(node, "z_dir");
    if (z_dir.size() == 3) {
      z_dir_ = z_dir;
      z_dir_ /= z_dir_.norm();
    } else {
      fatal_error("z_dir for cylindrical source distribution must be length 3");
    }
  } else {
    // If no z_dir was specified, default to (0, 0, 1)
    z_dir_ = {0.0, 0.0, 1.0};
  }

  // Read cylinder r_dir
  if (check_for_node(node, "r_dir")) {
    auto r_dir = get_node_array<double>(node, "r_dir");
    if (r_dir.size() == 3) {
      r_dir_ = r_dir;
      r_dir_ /= r_dir_.norm();
    } else {
      fatal_error("r_dir for cylindrical source distribution must be length 3");
    }
  } else {
    // If no r_dir was specified, default to (1, 0, 0)
    r_dir_ = {1.0, 0.0, 0.0};
  }

  if (r_dir_.dot(z_dir_) > 1e-12)
    fatal_error("r_dir must be perpendicular to z_dir");

  auto phi_dir = z_dir_.cross(r_dir_);
  phi_dir /= phi_dir.norm();
  phi_dir_ = phi_dir;
}

std::pair<Position, double> CylindricalIndependent::sample(uint64_t* seed) const
{
  auto [r, r_wgt] = r_->sample(seed);
  auto [phi, phi_wgt] = phi_->sample(seed);
  auto [z, z_wgt] = z_->sample(seed);
  Position xi =
    r * (cos(phi) * r_dir_ + sin(phi) * phi_dir_) + z * z_dir_ + origin_;
  return {xi, r_wgt * phi_wgt * z_wgt};
}

//==============================================================================
// SphericalIndependent implementation
//==============================================================================

SphericalIndependent::SphericalIndependent(pugi::xml_node node)
{
  // Read distribution for r-coordinate
  if (check_for_node(node, "r")) {
    pugi::xml_node node_dist = node.child("r");
    r_ = distribution_from_xml(node_dist);
  } else {
    // If no distribution was specified, default to a single point at r=0
    double x[] {0.0};
    double p[] {1.0};
    r_ = make_unique<Discrete>(x, p, 1);
  }

  // Read distribution for cos_theta-coordinate
  if (check_for_node(node, "cos_theta")) {
    pugi::xml_node node_dist = node.child("cos_theta");
    cos_theta_ = distribution_from_xml(node_dist);
  } else {
    // If no distribution was specified, default to a single point at
    // cos_theta=0
    double x[] {0.0};
    double p[] {1.0};
    cos_theta_ = make_unique<Discrete>(x, p, 1);
  }

  // Read distribution for phi-coordinate
  if (check_for_node(node, "phi")) {
    pugi::xml_node node_dist = node.child("phi");
    phi_ = distribution_from_xml(node_dist);
  } else {
    // If no distribution was specified, default to a single point at phi=0
    double x[] {0.0};
    double p[] {1.0};
    phi_ = make_unique<Discrete>(x, p, 1);
  }

  // Read sphere center coordinates
  if (check_for_node(node, "origin")) {
    auto origin = get_node_array<double>(node, "origin");
    if (origin.size() == 3) {
      origin_ = origin;
    } else {
      fatal_error("Origin for spherical source distribution must be length 3");
    }
  } else {
    // If no coordinates were specified, default to (0, 0, 0)
    origin_ = {0.0, 0.0, 0.0};
  }
}

std::pair<Position, double> SphericalIndependent::sample(uint64_t* seed) const
{
  auto [r, r_wgt] = r_->sample(seed);
  auto [cos_theta, cos_theta_wgt] = cos_theta_->sample(seed);
  auto [phi, phi_wgt] = phi_->sample(seed);
  // sin(theta) by sin**2 + cos**2 = 1
  double x = r * std::sqrt(1 - cos_theta * cos_theta) * cos(phi) + origin_.x;
  double y = r * std::sqrt(1 - cos_theta * cos_theta) * sin(phi) + origin_.y;
  double z = r * cos_theta + origin_.z;
  Position xi {x, y, z};
  return {xi, r_wgt * cos_theta_wgt * phi_wgt};
}

//==============================================================================
// MeshSpatial implementation
//==============================================================================

MeshSpatial::MeshSpatial(pugi::xml_node node)
{

  auto spatial_type = get_node_value(node, "type", true, true);
  if (spatial_type != "mesh") {
    fatal_error(
      fmt::format("Incorrect spatial type '{}' for a MeshSpatial distribution",
        spatial_type));
  }

  // No in-tet distributions implemented, could include distributions for the
  // barycentric coords Read in unstructured mesh from mesh_id value
  int32_t mesh_id = std::stoi(get_node_value(node, "mesh_id"));
  // Get pointer to spatial distribution
  mesh_idx_ = model::mesh_map.at(mesh_id);

  const auto mesh_ptr = model::meshes.at(mesh_idx_).get();

  check_element_types();

  size_t n_bins = this->n_sources();
  std::vector<double> strengths(n_bins, 1.0);

  // Create cdfs for sampling for an element over a mesh
  // Volume scheme is weighted by the volume of each tet
  // File scheme is weighted by an array given in the xml file
  if (check_for_node(node, "strengths")) {
    strengths = get_node_array<double>(node, "strengths");
    if (strengths.size() != n_bins) {
      fatal_error(
        fmt::format("Number of entries in the source strengths array {} does "
                    "not match the number of entities in mesh {} ({}).",
          strengths.size(), mesh_id, n_bins));
    }
  }

  if (get_node_value_bool(node, "volume_normalized")) {
    for (int i = 0; i < n_bins; i++) {
      strengths[i] *= this->mesh()->volume(i);
    }
  }

  elem_idx_dist_.assign(strengths);

  if (check_for_node(node, "bias")) {
    pugi::xml_node bias_node = node.child("bias");

    if (check_for_node(bias_node, "strengths")) {
      std::vector<double> bias_strengths(n_bins, 1.0);
      bias_strengths = get_node_array<double>(node, "strengths");

      if (bias_strengths.size() != n_bins) {
        fatal_error(
          fmt::format("Number of entries in the bias strengths array {} does "
                      "not match the number of entities in mesh {} ({}).",
            bias_strengths.size(), mesh_id, n_bins));
      }

      if (get_node_value_bool(node, "volume_normalized")) {
        for (int i = 0; i < n_bins; i++) {
          bias_strengths[i] *= this->mesh()->volume(i);
        }
      }

      // Compute importance weights
      weight_ = compute_importance_weights(strengths, bias_strengths);

      // Re-initialize DiscreteIndex with bias strengths for sampling
      elem_idx_dist_.assign(bias_strengths);
    } else {
      fatal_error(fmt::format(
        "Bias node for mesh {} found without strengths array.", mesh_id));
    }
  }
}

MeshSpatial::MeshSpatial(int32_t mesh_idx, span<const double> strengths)
  : mesh_idx_(mesh_idx)
{
  check_element_types();
  elem_idx_dist_.assign(strengths);
}

void MeshSpatial::check_element_types() const
{
  const auto umesh_ptr = dynamic_cast<const UnstructuredMesh*>(this->mesh());
  if (umesh_ptr) {
    // ensure that the unstructured mesh contains only linear tets
    for (int bin = 0; bin < umesh_ptr->n_bins(); bin++) {
      if (umesh_ptr->element_type(bin) != ElementType::LINEAR_TET) {
        fatal_error(
          "Mesh specified for source must contain only linear tetrahedra.");
      }
    }
  }
}

int32_t MeshSpatial::sample_element_index(uint64_t* seed) const
{
  return elem_idx_dist_.sample(seed);
}

std::pair<int32_t, Position> MeshSpatial::sample_mesh(uint64_t* seed) const
{
  // Sample the CDF defined in initialization above
  int32_t elem_idx = this->sample_element_index(seed);
  return {elem_idx, mesh()->sample_element(elem_idx, seed)};
}

std::pair<Position, double> MeshSpatial::sample(uint64_t* seed) const
{
  auto [elem_idx, u] = this->sample_mesh(seed);
  double wgt = weight_.empty() ? 1.0 : weight_[elem_idx];
  return {u, wgt};
}

//==============================================================================
// PointCloud implementation
//==============================================================================

PointCloud::PointCloud(pugi::xml_node node)
{
  if (check_for_node(node, "coords")) {
    point_cloud_ = get_node_position_array(node, "coords");
  } else {
    fatal_error("No coordinates were provided for the PointCloud "
                "spatial distribution");
  }

  std::vector<double> strengths;

  if (check_for_node(node, "strengths"))
    strengths = get_node_array<double>(node, "strengths");
  else
    strengths.resize(point_cloud_.size(), 1.0);

  if (strengths.size() != point_cloud_.size()) {
    fatal_error(
      fmt::format("Number of entries for the strengths array {} does "
                  "not match the number of spatial points provided {}.",
        strengths.size(), point_cloud_.size()));
  }

  point_idx_dist_.assign(strengths);

  if (check_for_node(node, "bias")) {
    pugi::xml_node bias_node = node.child("bias");

    if (check_for_node(bias_node, "strengths")) {
      std::vector<double> bias_strengths(point_cloud_.size(), 1.0);
      bias_strengths = get_node_array<double>(node, "strengths");

      if (bias_strengths.size() != point_cloud_.size()) {
        fatal_error(
          fmt::format("Number of entries in the bias strengths array {} does "
                      "not match the number of spatial points provided {}.",
            bias_strengths.size(), point_cloud_.size()));
      }

      // Compute importance weights
      weight_ = compute_importance_weights(strengths, bias_strengths);

      // Re-initialize DiscreteIndex with bias strengths for sampling
      point_idx_dist_.assign(bias_strengths);
    } else {
      fatal_error(
        fmt::format("Bias node for PointCloud found without strengths array."));
    }
  }
}

PointCloud::PointCloud(
  std::vector<Position> point_cloud, span<const double> strengths)
{
  point_cloud_.assign(point_cloud.begin(), point_cloud.end());
  point_idx_dist_.assign(strengths);
}

std::pair<Position, double> PointCloud::sample(uint64_t* seed) const
{
  int32_t index = point_idx_dist_.sample(seed);
  double wgt = weight_.empty() ? 1.0 : weight_[index];
  return {point_cloud_[index], wgt};
}

//==============================================================================
// SpatialBox implementation
//==============================================================================

SpatialBox::SpatialBox(pugi::xml_node node, bool fission)
  : only_fissionable_ {fission}
{
  // Read lower-right/upper-left coordinates
  auto params = get_node_array<double>(node, "parameters");
  if (params.size() != 6)
    openmc::fatal_error("Box/fission spatial source must have six "
                        "parameters specified.");

  lower_left_ = Position {params[0], params[1], params[2]};
  upper_right_ = Position {params[3], params[4], params[5]};
}

SpatialBox::SpatialBox(Position lower_left, Position upper_right, bool fission)
  : lower_left_(lower_left), upper_right_(upper_right),
    only_fissionable_(fission)
{}

std::pair<Position, double> SpatialBox::sample(uint64_t* seed) const
{
  Position xi {prn(seed), prn(seed), prn(seed)};
  return {lower_left_ + xi * (upper_right_ - lower_left_), 1.0};
}

//==============================================================================
// SpatialPoint implementation
//==============================================================================

SpatialPoint::SpatialPoint(pugi::xml_node node)
{
  // Read location of point source
  auto params = get_node_array<double>(node, "parameters");
  if (params.size() != 3)
    openmc::fatal_error("Point spatial source must have three "
                        "parameters specified.");

  // Set position
  r_ = Position {params.data()};
}

std::pair<Position, double> SpatialPoint::sample(uint64_t* seed) const
{
  return {r_, 1.0};
}

} // namespace openmc

1	#include "openmc/distribution_spatial.h"
2
3	#include "openmc/error.h"
4	#include "openmc/mesh.h"
5	#include "openmc/random_lcg.h"
6	#include "openmc/search.h"
7	#include "openmc/xml_interface.h"
8
9	namespace openmc {
10
11	//==============================================================================
12	// SpatialDistribution implementation
13	//==============================================================================
14
15	unique_ptr<SpatialDistribution> SpatialDistribution::create(pugi::xml_node node)	7,901✔
16	{
17	// Check for type of spatial distribution and read
18	std::string type;	7,901✔
19	if (check_for_node(node, "type"))	7,901!
20	type = get_node_value(node, "type", true, true);	7,901✔
21	if (type == "cartesian") {	7,901✔
22	return UPtrSpace {new CartesianIndependent(node)};	45✔
23	} else if (type == "cylindrical") {	7,856✔
24	return UPtrSpace {new CylindricalIndependent(node)};	45✔
25	} else if (type == "spherical") {	7,811✔
26	return UPtrSpace {new SphericalIndependent(node)};	61✔
27	} else if (type == "mesh") {	7,750✔
28	return UPtrSpace {new MeshSpatial(node)};	40✔
29	} else if (type == "cloud") {	7,710✔
30	return UPtrSpace {new PointCloud(node)};	11✔
31	} else if (type == "box") {	7,699✔
32	return UPtrSpace {new SpatialBox(node)};	4,271✔
33	} else if (type == "fission") {	3,428✔
34	return UPtrSpace {new SpatialBox(node, true)};	22✔
35	} else if (type == "point") {	3,406!
36	return UPtrSpace {new SpatialPoint(node)};	3,406✔
37	} else {
38	fatal_error(fmt::format(	×
39	"Invalid spatial distribution for external source: {}", type));
40	}
41	}	7,900✔
42
43	//==============================================================================
44	// CartesianIndependent implementation
45	//==============================================================================
46
47	CartesianIndependent::CartesianIndependent(pugi::xml_node node)	45✔
48	{
49	// Read distribution for x coordinate
50	if (check_for_node(node, "x")) {	45!
51	pugi::xml_node node_dist = node.child("x");	45✔
52	x_ = distribution_from_xml(node_dist);	45✔
53	} else {
54	// If no distribution was specified, default to a single point at x=0
55	double x[] {0.0};	×
56	double p[] {1.0};	×
57	x_ = UPtrDist {new Discrete {x, p, 1}};	×
58	}
59
60	// Read distribution for y coordinate
61	if (check_for_node(node, "y")) {	45!
62	pugi::xml_node node_dist = node.child("y");	45✔
63	y_ = distribution_from_xml(node_dist);	45✔
64	} else {
65	// If no distribution was specified, default to a single point at y=0
66	double x[] {0.0};	×
67	double p[] {1.0};	×
68	y_ = UPtrDist {new Discrete {x, p, 1}};	×
69	}
70
71	// Read distribution for z coordinate
72	if (check_for_node(node, "z")) {	45!
73	pugi::xml_node node_dist = node.child("z");	45✔
74	z_ = distribution_from_xml(node_dist);	45✔
75	} else {
76	// If no distribution was specified, default to a single point at z=0
77	double x[] {0.0};	×
78	double p[] {1.0};	×
79	z_ = UPtrDist {new Discrete {x, p, 1}};	×
80	}
81	}	45✔
82
83	std::pair<Position, double> CartesianIndependent::sample(uint64_t* seed) const	8,690✔
84	{
85	auto [x_val, x_wgt] = x_->sample(seed);	8,690✔
86	auto [y_val, y_wgt] = y_->sample(seed);	8,690✔
87	auto [z_val, z_wgt] = z_->sample(seed);	8,690✔
88	Position xi {x_val, y_val, z_val};	8,690✔
89	return {xi, x_wgt * y_wgt * z_wgt};	8,690✔
90	}
91
92	//==============================================================================
93	// CylindricalIndependent implementation
94	//==============================================================================
95
96	CylindricalIndependent::CylindricalIndependent(pugi::xml_node node)	45✔
97	{
98	// Read distribution for r-coordinate
99	if (check_for_node(node, "r")) {	45!
100	pugi::xml_node node_dist = node.child("r");	45✔
101	r_ = distribution_from_xml(node_dist);	45✔
102	} else {
103	// If no distribution was specified, default to a single point at r=0
104	double x[] {0.0};	×
105	double p[] {1.0};	×
106	r_ = make_unique<Discrete>(x, p, 1);	×
107	}
108
109	// Read distribution for phi-coordinate
110	if (check_for_node(node, "phi")) {	45!
111	pugi::xml_node node_dist = node.child("phi");	45✔
112	phi_ = distribution_from_xml(node_dist);	45✔
113	} else {
114	// If no distribution was specified, default to a single point at phi=0
115	double x[] {0.0};	×
116	double p[] {1.0};	×
117	phi_ = make_unique<Discrete>(x, p, 1);	×
118	}
119
120	// Read distribution for z-coordinate
121	if (check_for_node(node, "z")) {	45!
122	pugi::xml_node node_dist = node.child("z");	45✔
123	z_ = distribution_from_xml(node_dist);	45✔
124	} else {
125	// If no distribution was specified, default to a single point at z=0
126	double x[] {0.0};	×
127	double p[] {1.0};	×
128	z_ = make_unique<Discrete>(x, p, 1);	×
129	}
130
131	// Read cylinder center coordinates
132	if (check_for_node(node, "origin")) {	45!
133	auto origin = get_node_array<double>(node, "origin");	45✔
134	if (origin.size() == 3) {	45!
135	origin_ = origin;	45✔
136	} else {
137	fatal_error(	×
138	"Origin for cylindrical source distribution must be length 3");
139	}
140	} else {	45✔
141	// If no coordinates were specified, default to (0, 0, 0)
142	origin_ = {0.0, 0.0, 0.0};	×
143	}
144
145	// Read cylinder z_dir
146	if (check_for_node(node, "z_dir")) {	45!
147	auto z_dir = get_node_array<double>(node, "z_dir");	×
148	if (z_dir.size() == 3) {	×
149	z_dir_ = z_dir;	×
150	z_dir_ /= z_dir_.norm();	×
151	} else {
152	fatal_error("z_dir for cylindrical source distribution must be length 3");	×
153	}
154	} else {	×
155	// If no z_dir was specified, default to (0, 0, 1)
156	z_dir_ = {0.0, 0.0, 1.0};	45✔
157	}
158
159	// Read cylinder r_dir
160	if (check_for_node(node, "r_dir")) {	45!
161	auto r_dir = get_node_array<double>(node, "r_dir");	×
162	if (r_dir.size() == 3) {	×
163	r_dir_ = r_dir;	×
164	r_dir_ /= r_dir_.norm();	×
165	} else {
166	fatal_error("r_dir for cylindrical source distribution must be length 3");	×
167	}
168	} else {	×
169	// If no r_dir was specified, default to (1, 0, 0)
170	r_dir_ = {1.0, 0.0, 0.0};	45✔
171	}
172
173	if (r_dir_.dot(z_dir_) > 1e-12)	45!
174	fatal_error("r_dir must be perpendicular to z_dir");	×
175
176	auto phi_dir = z_dir_.cross(r_dir_);	45✔
177	phi_dir /= phi_dir.norm();	45✔
178	phi_dir_ = phi_dir;	45✔
179	}	45✔
180
181	std::pair<Position, double> CylindricalIndependent::sample(uint64_t* seed) const	3,542✔
182	{
183	auto [r, r_wgt] = r_->sample(seed);	3,542✔
184	auto [phi, phi_wgt] = phi_->sample(seed);	3,542✔
185	auto [z, z_wgt] = z_->sample(seed);	3,542✔
186	Position xi =	3,542✔
187	r * (cos(phi) * r_dir_ + sin(phi) * phi_dir_) + z * z_dir_ + origin_;	3,542✔
188	return {xi, r_wgt * phi_wgt * z_wgt};	3,542✔
189	}
190
191	//==============================================================================
192	// SphericalIndependent implementation
193	//==============================================================================
194
195	SphericalIndependent::SphericalIndependent(pugi::xml_node node)	61✔
196	{
197	// Read distribution for r-coordinate
198	if (check_for_node(node, "r")) {	61!
199	pugi::xml_node node_dist = node.child("r");	61✔
200	r_ = distribution_from_xml(node_dist);	61✔
201	} else {
202	// If no distribution was specified, default to a single point at r=0
203	double x[] {0.0};	×
204	double p[] {1.0};	×
205	r_ = make_unique<Discrete>(x, p, 1);	×
206	}
207
208	// Read distribution for cos_theta-coordinate
209	if (check_for_node(node, "cos_theta")) {	61!
210	pugi::xml_node node_dist = node.child("cos_theta");	61✔
211	cos_theta_ = distribution_from_xml(node_dist);	61✔
212	} else {
213	// If no distribution was specified, default to a single point at
214	// cos_theta=0
215	double x[] {0.0};	×
216	double p[] {1.0};	×
217	cos_theta_ = make_unique<Discrete>(x, p, 1);	×
218	}
219
220	// Read distribution for phi-coordinate
221	if (check_for_node(node, "phi")) {	61!
222	pugi::xml_node node_dist = node.child("phi");	61✔
223	phi_ = distribution_from_xml(node_dist);	61✔
224	} else {
225	// If no distribution was specified, default to a single point at phi=0
226	double x[] {0.0};	×
227	double p[] {1.0};	×
228	phi_ = make_unique<Discrete>(x, p, 1);	×
229	}
230
231	// Read sphere center coordinates
232	if (check_for_node(node, "origin")) {	61!
233	auto origin = get_node_array<double>(node, "origin");	61✔
234	if (origin.size() == 3) {	61!
235	origin_ = origin;	61✔
236	} else {
237	fatal_error("Origin for spherical source distribution must be length 3");	×
238	}
239	} else {	61✔
240	// If no coordinates were specified, default to (0, 0, 0)
241	origin_ = {0.0, 0.0, 0.0};	×
242	}
243	}	61✔
244
245	std::pair<Position, double> SphericalIndependent::sample(uint64_t* seed) const	182,288✔
246	{
247	auto [r, r_wgt] = r_->sample(seed);	182,288✔
248	auto [cos_theta, cos_theta_wgt] = cos_theta_->sample(seed);	182,288✔
249	auto [phi, phi_wgt] = phi_->sample(seed);	182,288✔
250	// sin(theta) by sin2 + cos2 = 1
251	double x = r * std::sqrt(1 - cos_theta * cos_theta) * cos(phi) + origin_.x;	182,288✔
252	double y = r * std::sqrt(1 - cos_theta * cos_theta) * sin(phi) + origin_.y;	182,288✔
253	double z = r * cos_theta + origin_.z;	182,288✔
254	Position xi {x, y, z};	182,288✔
255	return {xi, r_wgt * cos_theta_wgt * phi_wgt};	182,288✔
256	}
257
258	//==============================================================================
259	// MeshSpatial implementation
260	//==============================================================================
261
262	MeshSpatial::MeshSpatial(pugi::xml_node node)	40✔
263	{
264
265	auto spatial_type = get_node_value(node, "type", true, true);	40✔
266	if (spatial_type != "mesh") {	40!
UNCOV 267	fatal_error(	×
UNCOV 268	fmt::format("Incorrect spatial type '{}' for a MeshSpatial distribution",	×
269	spatial_type));
270	}
271
272	// No in-tet distributions implemented, could include distributions for the
273	// barycentric coords Read in unstructured mesh from mesh_id value
274	int32_t mesh_id = std::stoi(get_node_value(node, "mesh_id"));	80✔
275	// Get pointer to spatial distribution
276	mesh_idx_ = model::mesh_map.at(mesh_id);	40✔
277
278	const auto mesh_ptr = model::meshes.at(mesh_idx_).get();	40✔
279
280	check_element_types();	40✔
281
282	size_t n_bins = this->n_sources();	40✔
283	std::vector<double> strengths(n_bins, 1.0);	40✔
284
285	// Create cdfs for sampling for an element over a mesh
286	// Volume scheme is weighted by the volume of each tet
287	// File scheme is weighted by an array given in the xml file
288	if (check_for_node(node, "strengths")) {	40✔
289	strengths = get_node_array<double>(node, "strengths");	74✔
290	if (strengths.size() != n_bins) {	37✔
291	fatal_error(	1!
292	fmt::format("Number of entries in the source strengths array {} does "	1!
293	"not match the number of entities in mesh {} ({}).",
294	strengths.size(), mesh_id, n_bins));	1!
295	}
296	}
297
298	if (get_node_value_bool(node, "volume_normalized")) {	39✔
299	for (int i = 0; i < n_bins; i++) {	37,356✔
300	strengths[i] *= this->mesh()->volume(i);	37,320✔
301	}
302	}
303
304	elem_idx_dist_.assign(strengths);	39✔
305
306	if (check_for_node(node, "bias")) {	39!
307	pugi::xml_node bias_node = node.child("bias");	×
308
309	if (check_for_node(bias_node, "strengths")) {	×
UNCOV 310	std::vector<double> bias_strengths(n_bins, 1.0);	×
311	bias_strengths = get_node_array<double>(node, "strengths");	×
312
313	if (bias_strengths.size() != n_bins) {	×
UNCOV 314	fatal_error(	×
315	fmt::format("Number of entries in the bias strengths array {} does "	×
316	"not match the number of entities in mesh {} ({}).",
UNCOV 317	bias_strengths.size(), mesh_id, n_bins));	×
318	}
319
320	if (get_node_value_bool(node, "volume_normalized")) {	×
UNCOV 321	for (int i = 0; i < n_bins; i++) {	×
UNCOV 322	bias_strengths[i] *= this->mesh()->volume(i);	×
323	}
324	}
325
326	// Compute importance weights
UNCOV 327	weight_ = compute_importance_weights(strengths, bias_strengths);	×
328
329	// Re-initialize DiscreteIndex with bias strengths for sampling
330	elem_idx_dist_.assign(bias_strengths);	×
UNCOV 331	} else {	×
UNCOV 332	fatal_error(fmt::format(	×
333	"Bias node for mesh {} found without strengths array.", mesh_id));
334	}
335	}
336	}	39✔
337
338	MeshSpatial::MeshSpatial(int32_t mesh_idx, span<const double> strengths)	201✔
339	: mesh_idx_(mesh_idx)	201✔
340	{
341	check_element_types();	201✔
342	elem_idx_dist_.assign(strengths);	201✔
343	}	201✔
344
345	void MeshSpatial::check_element_types() const	241✔
346	{
347	const auto umesh_ptr = dynamic_cast<const UnstructuredMesh*>(this->mesh());	241!
348	if (umesh_ptr) {	241✔
349	// ensure that the unstructured mesh contains only linear tets
350	for (int bin = 0; bin < umesh_ptr->n_bins(); bin++) {	120,010✔
351	if (umesh_ptr->element_type(bin) != ElementType::LINEAR_TET) {	120,000!
UNCOV 352	fatal_error(	×
353	"Mesh specified for source must contain only linear tetrahedra.");
354	}
355	}
356	}
357	}	241✔
358
359	int32_t MeshSpatial::sample_element_index(uint64_t* seed) const	2,085,872✔
360	{
361	return elem_idx_dist_.sample(seed);	2,085,872✔
362	}
363
364	std::pair<int32_t, Position> MeshSpatial::sample_mesh(uint64_t* seed) const	601,530✔
365	{
366	// Sample the CDF defined in initialization above
367	int32_t elem_idx = this->sample_element_index(seed);	601,530✔
368	return {elem_idx, mesh()->sample_element(elem_idx, seed)};	601,530✔
369	}
370
371	std::pair<Position, double> MeshSpatial::sample(uint64_t* seed) const	601,530✔
372	{
373	auto [elem_idx, u] = this->sample_mesh(seed);	601,530✔
374	double wgt = weight_.empty() ? 1.0 : weight_[elem_idx];	601,530!
375	return {u, wgt};	601,530✔
376	}
377
378	//==============================================================================
379	// PointCloud implementation
380	//==============================================================================
381
382	PointCloud::PointCloud(pugi::xml_node node)	11✔
383	{
384	if (check_for_node(node, "coords")) {	11!
385	point_cloud_ = get_node_position_array(node, "coords");	11✔
386	} else {
UNCOV 387	fatal_error("No coordinates were provided for the PointCloud "	×
388	"spatial distribution");
389	}
390
391	std::vector<double> strengths;	11✔
392
393	if (check_for_node(node, "strengths"))	11!
394	strengths = get_node_array<double>(node, "strengths");	22✔
395	else
UNCOV 396	strengths.resize(point_cloud_.size(), 1.0);	×
397
398	if (strengths.size() != point_cloud_.size()) {	11!
UNCOV 399	fatal_error(	×
400	fmt::format("Number of entries for the strengths array {} does "	×
401	"not match the number of spatial points provided {}.",
UNCOV 402	strengths.size(), point_cloud_.size()));	×
403	}
404
405	point_idx_dist_.assign(strengths);	11✔
406
407	if (check_for_node(node, "bias")) {	11!
408	pugi::xml_node bias_node = node.child("bias");	×
409
410	if (check_for_node(bias_node, "strengths")) {	×
UNCOV 411	std::vector<double> bias_strengths(point_cloud_.size(), 1.0);	×
412	bias_strengths = get_node_array<double>(node, "strengths");	×
413
414	if (bias_strengths.size() != point_cloud_.size()) {	×
UNCOV 415	fatal_error(	×
416	fmt::format("Number of entries in the bias strengths array {} does "	×
417	"not match the number of spatial points provided {}.",
UNCOV 418	bias_strengths.size(), point_cloud_.size()));	×
419	}
420
421	// Compute importance weights
UNCOV 422	weight_ = compute_importance_weights(strengths, bias_strengths);	×
423
424	// Re-initialize DiscreteIndex with bias strengths for sampling
425	point_idx_dist_.assign(bias_strengths);	×
426	} else {	×
UNCOV 427	fatal_error(	×
UNCOV 428	fmt::format("Bias node for PointCloud found without strengths array."));	×
429	}
430	}
431	}	11✔
432
UNCOV 433	PointCloud::PointCloud(	×
434	std::vector<Position> point_cloud, span<const double> strengths)	×
435	{
436	point_cloud_.assign(point_cloud.begin(), point_cloud.end());	×
UNCOV 437	point_idx_dist_.assign(strengths);	×
UNCOV 438	}	×
439
440	std::pair<Position, double> PointCloud::sample(uint64_t* seed) const	550,000✔
441	{
442	int32_t index = point_idx_dist_.sample(seed);	550,000✔
443	double wgt = weight_.empty() ? 1.0 : weight_[index];	550,000!
444	return {point_cloud_[index], wgt};	550,000✔
445	}
446
447	//==============================================================================
448	// SpatialBox implementation
449	//==============================================================================
450
451	SpatialBox::SpatialBox(pugi::xml_node node, bool fission)	4,293✔
452	: only_fissionable_ {fission}	4,293✔
453	{
454	// Read lower-right/upper-left coordinates
455	auto params = get_node_array<double>(node, "parameters");	4,293✔
456	if (params.size() != 6)	4,293!
UNCOV 457	openmc::fatal_error("Box/fission spatial source must have six "	×
458	"parameters specified.");
459
460	lower_left_ = Position {params[0], params[1], params[2]};	4,293✔
461	upper_right_ = Position {params[3], params[4], params[5]};	4,293✔
462	}	4,293✔
463
464	SpatialBox::SpatialBox(Position lower_left, Position upper_right, bool fission)	11✔
465	: lower_left_(lower_left), upper_right_(upper_right),	11✔
466	only_fissionable_(fission)	11✔
467	{}	11✔
468
469	std::pair<Position, double> SpatialBox::sample(uint64_t* seed) const	7,674,149✔
470	{
471	Position xi {prn(seed), prn(seed), prn(seed)};	7,674,149✔
472	return {lower_left_ + xi * (upper_right_ - lower_left_), 1.0};	7,674,149✔
473	}
474
475	//==============================================================================
476	// SpatialPoint implementation
477	//==============================================================================
478
479	SpatialPoint::SpatialPoint(pugi::xml_node node)	3,406✔
480	{
481	// Read location of point source
482	auto params = get_node_array<double>(node, "parameters");	3,406✔
483	if (params.size() != 3)	3,406!
UNCOV 484	openmc::fatal_error("Point spatial source must have three "	×
485	"parameters specified.");
486
487	// Set position
488	r_ = Position {params.data()};	3,406✔
489	}	3,406✔
490
491	std::pair<Position, double> SpatialPoint::sample(uint64_t* seed) const	27,842,764✔
492	{
493	return {r_, 1.0};	27,842,764✔
494	}
495
496	} // namespace openmc

openmc-dev / openmc / 28910660821

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