use std::collections::BTreeSet;
+
+use metatensor::TensorMap;
+use metatensor::{Labels, LabelsBuilder, LabelValue};
+
+use super::CalculatorBase;
+
+use crate::{Error, System};
+
+
+#[derive(Debug, Clone)]
+#[derive(serde::Deserialize, serde::Serialize, schemars::JsonSchema)]
+pub struct NeighborList {
+ pub cutoff: f64,
+ pub full_neighbor_list: bool,
+ pub self_pairs: bool,
+}
+
+fn sort_pair((i, j): (i32, i32)) -> ((i32, i32), bool) {
+ if i <= j {
+ ((i, j), false)
+ } else {
+ ((j, i), true)
+ }
+}
+
+impl CalculatorBase for NeighborList {
+ fn name(&self) -> String {
+ "neighbors list".into()
+ }
+
+ fn parameters(&self) -> String {
+ serde_json::to_string(self).expect("failed to serialize to JSON")
+ }
+
+ fn cutoffs(&self) -> &[f64] {
+ std::slice::from_ref(&self.cutoff)
+ }
+
+ fn keys(&self, systems: &mut [Box<dyn System>]) -> Result<Labels, Error> {
+ assert!(self.cutoff > 0.0 && self.cutoff.is_finite());
+
+ if self.full_neighbor_list {
+ FullNeighborList {
+ cutoff: self.cutoff,
+ self_pairs: self.self_pairs,
+ }.keys(systems)
+ } else {
+ HalfNeighborList {
+ cutoff: self.cutoff,
+ self_pairs: self.self_pairs,
+ }.keys(systems)
+ }
+ }
+
+ fn sample_names(&self) -> Vec<&str> {
+ return vec!["structure", "first_atom", "second_atom", "cell_shift_a", "cell_shift_b", "cell_shift_c"];
+ }
+
+ fn samples(&self, keys: &Labels, systems: &mut [Box<dyn System>]) -> Result<Vec<Labels>, Error> {
+ assert!(self.cutoff > 0.0 && self.cutoff.is_finite());
+
+ if self.full_neighbor_list {
+ FullNeighborList {
+ cutoff: self.cutoff,
+ self_pairs: self.self_pairs,
+ }.samples(keys, systems)
+ } else {
+ HalfNeighborList {
+ cutoff: self.cutoff,
+ self_pairs: self.self_pairs,
+ }.samples(keys, systems)
+ }
+ }
+
+ fn supports_gradient(&self, parameter: &str) -> bool {
+ match parameter {
+ "positions" => true,
+ _ => false,
+ }
+ }
+
+ fn positions_gradient_samples(&self, _keys: &Labels, samples: &[Labels], _systems: &mut [Box<dyn System>]) -> Result<Vec<Labels>, Error> {
+ let mut results = Vec::new();
+
+ for block_samples in samples {
+ let mut builder = LabelsBuilder::new(vec!["sample", "structure", "atom"]);
+ for (sample_i, &[system_i, first, second, cell_a, cell_b, cell_c]) in block_samples.iter_fixed_size().enumerate() {
+ if first == second && cell_a == 0 && cell_b == 0 && cell_c == 0 {
+ continue;
+ }
+ builder.add(&[sample_i.into(), system_i, first]);
+ builder.add(&[sample_i.into(), system_i, second]);
+ }
+
+ results.push(builder.finish());
+ }
+
+ return Ok(results);
+ }
+
+ fn components(&self, keys: &Labels) -> Vec<Vec<Labels>> {
+ let components = vec![Labels::new(["pair_direction"], &[[0], [1], [2]])];
+ return vec![components; keys.count()];
+ }
+
+ fn property_names(&self) -> Vec<&str> {
+ vec!["distance"]
+ }
+
+ fn properties(&self, keys: &Labels) -> Vec<Labels> {
+ let mut properties = LabelsBuilder::new(self.property_names());
+ properties.add(&[LabelValue::new(1)]);
+ let properties = properties.finish();
+
+ return vec![properties; keys.count()];
+ }
+
+ #[time_graph::instrument(name = "NeighborList::compute")]
+ fn compute(&mut self, systems: &mut [Box<dyn System>], descriptor: &mut TensorMap) -> Result<(), Error> {
+ if self.full_neighbor_list {
+ FullNeighborList {
+ cutoff: self.cutoff,
+ self_pairs: self.self_pairs,
+ }.compute(systems, descriptor)
+ } else {
+ HalfNeighborList {
+ cutoff: self.cutoff,
+ self_pairs: self.self_pairs,
+ }.compute(systems, descriptor)
+ }
+ }
+}
+
+#[derive(Debug, Clone)]
+struct HalfNeighborList {
+ cutoff: f64,
+ self_pairs: bool,
+}
+
+impl HalfNeighborList {
+ fn keys(&self, systems: &mut [Box<dyn System>]) -> Result<Labels, Error> {
+ let mut all_species_pairs = BTreeSet::new();
+ for system in systems {
+ system.compute_neighbors(self.cutoff)?;
+
+ let species = system.species()?;
+ for pair in system.pairs()? {
+ let (species_pair, _) = sort_pair((species[pair.first], species[pair.second]));
+ all_species_pairs.insert(species_pair);
+ }
+
+ if self.self_pairs {
+ for &species in species {
+ all_species_pairs.insert((species, species));
+ }
+ }
+ }
+
+ let mut keys = LabelsBuilder::new(vec!["species_first_atom", "species_second_atom"]);
+ for (first, second) in all_species_pairs {
+ keys.add(&[first, second]);
+ }
+
+ return Ok(keys.finish());
+ }
+
+ fn samples(&self, keys: &Labels, systems: &mut [Box<dyn System>]) -> Result<Vec<Labels>, Error> {
+ let mut results = Vec::new();
+
+ for [species_first, species_second] in keys.iter_fixed_size() {
+ let mut builder = LabelsBuilder::new(vec![
+ "structure",
+ "first_atom",
+ "second_atom",
+ "cell_shift_a",
+ "cell_shift_b",
+ "cell_shift_c"
+ ]);
+
+ for (system_i, system) in systems.iter_mut().enumerate() {
+ system.compute_neighbors(self.cutoff)?;
+ let species = system.species()?;
+
+ for pair in system.pairs()? {
+ let ((species_i, species_j), invert) = sort_pair((species[pair.first], species[pair.second]));
+
+ let shifts = pair.cell_shift_indices;
+ let (cell_a, cell_b, cell_c) = if invert {
+ (-shifts[0], -shifts[1], -shifts[2])
+ } else {
+ (shifts[0], shifts[1], shifts[2])
+ };
+
+ let (atom_i, atom_j) = if invert {
+ (pair.second, pair.first)
+ } else {
+ (pair.first, pair.second)
+ };
+
+ if species_i == species_first.i32() && species_j == species_second.i32() {
+ builder.add(&[
+ LabelValue::from(system_i),
+ LabelValue::from(atom_i),
+ LabelValue::from(atom_j),
+ LabelValue::from(cell_a),
+ LabelValue::from(cell_b),
+ LabelValue::from(cell_c),
+ ]);
+ }
+ }
+
+ if self.self_pairs && species_first == species_second {
+ for center_i in 0..system.size()? {
+ if species[center_i] == species_first.i32() {
+ builder.add(&[
+ system_i.into(),
+ center_i.into(),
+ center_i.into(),
+ LabelValue::from(0),
+ LabelValue::from(0),
+ LabelValue::from(0),
+ ]);
+ }
+ }
+ }
+ }
+
+ results.push(builder.finish());
+ }
+
+ return Ok(results);
+ }
+
+ fn compute(&mut self, systems: &mut [Box<dyn System>], descriptor: &mut TensorMap) -> Result<(), Error> {
+ for (system_i, system) in systems.iter_mut().enumerate() {
+ system.compute_neighbors(self.cutoff)?;
+ let species = system.species()?;
+
+ for pair in system.pairs()? {
+ let ((species_i, species_j), invert) = sort_pair((species[pair.first], species[pair.second]));
+
+ let pair_vector = if invert {
+ -pair.vector
+ } else {
+ pair.vector
+ };
+
+ let shifts = pair.cell_shift_indices;
+ let (cell_a, cell_b, cell_c) = if invert {
+ (-shifts[0], -shifts[1], -shifts[2])
+ } else {
+ (shifts[0], shifts[1], shifts[2])
+ };
+
+ let (atom_i, atom_j) = if invert {
+ (pair.second, pair.first)
+ } else {
+ (pair.first, pair.second)
+ };
+
+ let block_i = descriptor.keys().position(&[
+ species_i.into(), species_j.into()
+ ]);
+
+ if let Some(block_i) = block_i {
+ let mut block = descriptor.block_mut_by_id(block_i);
+ let block_data = block.data_mut();
+
+ let sample_i = block_data.samples.position(&[
+ LabelValue::from(system_i),
+ LabelValue::from(atom_i),
+ LabelValue::from(atom_j),
+ LabelValue::from(cell_a),
+ LabelValue::from(cell_b),
+ LabelValue::from(cell_c),
+ ]);
+
+ if let Some(sample_i) = sample_i {
+ let array = block_data.values.to_array_mut();
+ for (property_i, &[distance]) in block_data.properties.iter_fixed_size().enumerate() {
+ if distance == 1 {
+ array[[sample_i, 0, property_i]] = pair_vector[0];
+ array[[sample_i, 1, property_i]] = pair_vector[1];
+ array[[sample_i, 2, property_i]] = pair_vector[2];
+ }
+ }
+
+ if let Some(mut gradient) = block.gradient_mut("positions") {
+ let gradient = gradient.data_mut();
+
+ let first_grad_sample_i = gradient.samples.position(&[
+ sample_i.into(), system_i.into(), atom_i.into()
+ ]).expect("missing gradient sample");
+ let second_grad_sample_i = gradient.samples.position(&[
+ sample_i.into(), system_i.into(), atom_j.into()
+ ]).expect("missing gradient sample");
+
+ let array = gradient.values.to_array_mut();
+
+ for (property_i, &[distance]) in gradient.properties.iter_fixed_size().enumerate() {
+ if distance == 1 {
+ array[[first_grad_sample_i, 0, 0, property_i]] = -1.0;
+ array[[first_grad_sample_i, 1, 1, property_i]] = -1.0;
+ array[[first_grad_sample_i, 2, 2, property_i]] = -1.0;
+
+ array[[second_grad_sample_i, 0, 0, property_i]] = 1.0;
+ array[[second_grad_sample_i, 1, 1, property_i]] = 1.0;
+ array[[second_grad_sample_i, 2, 2, property_i]] = 1.0;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+
+ return Ok(());
+ }
+}
+
+#[derive(Debug, Clone)]
+pub struct FullNeighborList {
+ pub cutoff: f64,
+ pub self_pairs: bool,
+}
+
+impl FullNeighborList {
+ pub(crate) fn keys(&self, systems: &mut [Box<dyn System>]) -> Result<Labels, Error> {
+ let mut all_species_pairs = BTreeSet::new();
+ for system in systems {
+ system.compute_neighbors(self.cutoff)?;
+
+ let species = system.species()?;
+ for pair in system.pairs()? {
+ all_species_pairs.insert((species[pair.first], species[pair.second]));
+ all_species_pairs.insert((species[pair.second], species[pair.first]));
+ }
+
+ if self.self_pairs {
+ for &species in species {
+ all_species_pairs.insert((species, species));
+ }
+ }
+ }
+
+ let mut keys = LabelsBuilder::new(vec!["species_first_atom", "species_second_atom"]);
+ for (first, second) in all_species_pairs {
+ keys.add(&[first, second]);
+ }
+
+ return Ok(keys.finish());
+ }
+
+ pub(crate) fn samples(&self, keys: &Labels, systems: &mut [Box<dyn System>]) -> Result<Vec<Labels>, Error> {
+ let mut results = Vec::new();
+
+ for &[species_first, species_second] in keys.iter_fixed_size() {
+ let mut builder = LabelsBuilder::new(vec![
+ "structure",
+ "first_atom",
+ "second_atom",
+ "cell_shift_a",
+ "cell_shift_b",
+ "cell_shift_c"
+ ]);
+
+ for (system_i, system) in systems.iter_mut().enumerate() {
+ system.compute_neighbors(self.cutoff)?;
+ let species = system.species()?;
+
+ for pair in system.pairs()? {
+ let cell_a = pair.cell_shift_indices[0];
+ let cell_b = pair.cell_shift_indices[1];
+ let cell_c = pair.cell_shift_indices[2];
+
+ if species_first == species_second {
+ if species[pair.first] == species_first.i32() && species[pair.second] == species_second.i32() {
+ builder.add(&[
+ LabelValue::from(system_i),
+ LabelValue::from(pair.first),
+ LabelValue::from(pair.second),
+ LabelValue::from(cell_a),
+ LabelValue::from(cell_b),
+ LabelValue::from(cell_c),
+ ]);
+
+ if pair.first != pair.second {
+ builder.add(&[
+ LabelValue::from(system_i),
+ LabelValue::from(pair.second),
+ LabelValue::from(pair.first),
+ LabelValue::from(-cell_a),
+ LabelValue::from(-cell_b),
+ LabelValue::from(-cell_c),
+ ]);
+ }
+ }
+ } else {
+ if species[pair.first] == species_first.i32() && species[pair.second] == species_second.i32() {
+ builder.add(&[
+ LabelValue::from(system_i),
+ LabelValue::from(pair.first),
+ LabelValue::from(pair.second),
+ LabelValue::from(cell_a),
+ LabelValue::from(cell_b),
+ LabelValue::from(cell_c),
+ ]);
+ } else if species[pair.second] == species_first.i32() && species[pair.first] == species_second.i32() {
+ builder.add(&[
+ LabelValue::from(system_i),
+ LabelValue::from(pair.second),
+ LabelValue::from(pair.first),
+ LabelValue::from(-cell_a),
+ LabelValue::from(-cell_b),
+ LabelValue::from(-cell_c),
+ ]);
+ }
+ }
+ }
+
+ if self.self_pairs && species_first == species_second {
+ for center_i in 0..system.size()? {
+ if species[center_i] == species_first.i32() {
+ builder.add(&[
+ system_i.into(),
+ center_i.into(),
+ center_i.into(),
+ LabelValue::from(0),
+ LabelValue::from(0),
+ LabelValue::from(0),
+ ]);
+ }
+ }
+ }
+ }
+
+ results.push(builder.finish());
+ }
+
+ return Ok(results);
+ }
+
+ #[allow(clippy::too_many_lines)]
+ fn compute(&mut self, systems: &mut [Box<dyn System>], descriptor: &mut TensorMap) -> Result<(), Error> {
+ for (system_i, system) in systems.iter_mut().enumerate() {
+ system.compute_neighbors(self.cutoff)?;
+ let species = system.species()?;
+
+ for pair in system.pairs()? {
+ let first_block_i = descriptor.keys().position(&[
+ species[pair.first].into(), species[pair.second].into()
+ ]);
+
+ let second_block_i = descriptor.keys().position(&[
+ species[pair.second].into(), species[pair.first].into()
+ ]);
+
+ let cell_a = pair.cell_shift_indices[0];
+ let cell_b = pair.cell_shift_indices[1];
+ let cell_c = pair.cell_shift_indices[2];
+
+ if let Some(first_block_i) = first_block_i {
+ let mut block = descriptor.block_mut_by_id(first_block_i);
+ let block_data = block.data_mut();
+
+ let sample_i = block_data.samples.position(&[
+ LabelValue::from(system_i),
+ LabelValue::from(pair.first),
+ LabelValue::from(pair.second),
+ LabelValue::from(cell_a),
+ LabelValue::from(cell_b),
+ LabelValue::from(cell_c),
+ ]);
+
+ if let Some(sample_i) = sample_i {
+ let array = block_data.values.to_array_mut();
+
+ for (property_i, &[distance]) in block_data.properties.iter_fixed_size().enumerate() {
+ if distance == 1 {
+ array[[sample_i, 0, property_i]] = pair.vector[0];
+ array[[sample_i, 1, property_i]] = pair.vector[1];
+ array[[sample_i, 2, property_i]] = pair.vector[2];
+ }
+ }
+
+ if let Some(mut gradient) = block.gradient_mut("positions") {
+ let gradient = gradient.data_mut();
+
+ let first_grad_sample_i = gradient.samples.position(&[
+ sample_i.into(), system_i.into(), pair.first.into()
+ ]).expect("missing gradient sample");
+ let second_grad_sample_i = gradient.samples.position(&[
+ sample_i.into(), system_i.into(), pair.second.into()
+ ]).expect("missing gradient sample");
+
+ let array = gradient.values.to_array_mut();
+
+ for (property_i, &[distance]) in gradient.properties.iter_fixed_size().enumerate() {
+ if distance == 1 {
+ array[[first_grad_sample_i, 0, 0, property_i]] = -1.0;
+ array[[first_grad_sample_i, 1, 1, property_i]] = -1.0;
+ array[[first_grad_sample_i, 2, 2, property_i]] = -1.0;
+
+ array[[second_grad_sample_i, 0, 0, property_i]] = 1.0;
+ array[[second_grad_sample_i, 1, 1, property_i]] = 1.0;
+ array[[second_grad_sample_i, 2, 2, property_i]] = 1.0;
+ }
+ }
+ }
+ }
+ }
+
+ if pair.first == pair.second {
+ continue;
+ }
+
+ if let Some(second_block_i) = second_block_i {
+ let mut block = descriptor.block_mut_by_id(second_block_i);
+
+ let block_data = block.data_mut();
+ let sample_i = block_data.samples.position(&[
+ LabelValue::from(system_i),
+ LabelValue::from(pair.second),
+ LabelValue::from(pair.first),
+ LabelValue::from(-cell_a),
+ LabelValue::from(-cell_b),
+ LabelValue::from(-cell_c),
+ ]);
+
+ if let Some(sample_i) = sample_i {
+ let array = block_data.values.to_array_mut();
+ for (property_i, &[distance]) in block_data.properties.iter_fixed_size().enumerate() {
+ if distance == 1 {
+ array[[sample_i, 0, property_i]] = -pair.vector[0];
+ array[[sample_i, 1, property_i]] = -pair.vector[1];
+ array[[sample_i, 2, property_i]] = -pair.vector[2];
+ }
+ }
+
+ if let Some(mut gradient) = block.gradient_mut("positions") {
+ let gradient = gradient.data_mut();
+
+ let first_grad_sample_i = gradient.samples.position(&[
+ sample_i.into(), system_i.into(), pair.second.into()
+ ]).expect("missing gradient sample");
+ let second_grad_sample_i = gradient.samples.position(&[
+ sample_i.into(), system_i.into(), pair.first.into()
+ ]).expect("missing gradient sample");
+
+ let array = gradient.values.to_array_mut();
+
+ for (property_i, &[distance]) in gradient.properties.iter_fixed_size().enumerate() {
+ if distance == 1 {
+ array[[first_grad_sample_i, 0, 0, property_i]] = -1.0;
+ array[[first_grad_sample_i, 1, 1, property_i]] = -1.0;
+ array[[first_grad_sample_i, 2, 2, property_i]] = -1.0;
+
+ array[[second_grad_sample_i, 0, 0, property_i]] = 1.0;
+ array[[second_grad_sample_i, 1, 1, property_i]] = 1.0;
+ array[[second_grad_sample_i, 2, 2, property_i]] = 1.0;
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+
+ return Ok(());
+ }
+}
+
+
+#[cfg(test)]
+mod tests {
+ use approx::assert_relative_eq;
+ use metatensor::Labels;
+
+ use crate::systems::test_utils::{test_systems, test_system};
+ use crate::Calculator;
+
+ use super::NeighborList;
+ use super::super::CalculatorBase;
+
+ #[test]
+ fn half_neighbor_list() {
+ let mut calculator = Calculator::from(Box::new(NeighborList{
+ cutoff: 2.0,
+ full_neighbor_list: false,
+ self_pairs: false,
+ }) as Box<dyn CalculatorBase>);
+
+ let mut systems = test_systems(&["water"]);
+
+ let descriptor = calculator.compute(&mut systems, Default::default()).unwrap();
+
+ assert_eq!(*descriptor.keys(), Labels::new(
+ ["species_first_atom", "species_second_atom"],
+ &[[-42, 1], [1, 1]]
+ ));
+
+ let block = descriptor.block_by_id(0);
+ assert_eq!(block.properties(), Labels::new(["distance"], &[[1]]));
+
+ assert_eq!(block.components().len(), 1);
+ assert_eq!(block.components()[0], Labels::new(["pair_direction"], &[[0], [1], [2]]));
+
+ assert_eq!(block.samples(), Labels::new(
+ ["structure", "first_atom", "second_atom", "cell_shift_a", "cell_shift_b", "cell_shift_c"],
+ &[[0, 0, 1, 0, 0, 0], [0, 0, 2, 0, 0, 0]]
+ ));
+
+ let array = block.values().to_array();
+ let expected = &ndarray::arr3(&[
+ [[0.0], [0.75545], [-0.58895]],
+ [[0.0], [-0.75545], [-0.58895]]
+ ]).into_dyn();
+ assert_relative_eq!(array, expected, max_relative=1e-6);
+
+ let block = descriptor.block_by_id(1);
+ assert_eq!(block.samples(), Labels::new(
+ ["structure", "first_atom", "second_atom", "cell_shift_a", "cell_shift_b", "cell_shift_c"],
+ &[[0, 1, 2, 0, 0, 0]]
+ ));
+
+ let array = block.values().to_array();
+ let expected = &ndarray::arr3(&[
+ [[0.0], [-1.5109], [0.0]]
+ ]).into_dyn();
+ assert_relative_eq!(array, expected, max_relative=1e-6);
+ }
+
+ #[test]
+ fn full_neighbor_list() {
+ let mut calculator = Calculator::from(Box::new(NeighborList{
+ cutoff: 2.0,
+ full_neighbor_list: true,
+ self_pairs: false,
+ }) as Box<dyn CalculatorBase>);
+
+ let mut systems = test_systems(&["water"]);
+
+ let descriptor = calculator.compute(&mut systems, Default::default()).unwrap();
+
+ assert_eq!(*descriptor.keys(), Labels::new(
+ ["species_first_atom", "species_second_atom"],
+ &[[-42, 1], [1, -42], [1, 1]]
+ ));
+
+ let block = descriptor.block_by_id(0);
+ assert_eq!(block.properties(), Labels::new(["distance"], &[[1]]));
+
+ assert_eq!(block.components().len(), 1);
+ assert_eq!(block.components()[0], Labels::new(["pair_direction"], &[[0], [1], [2]]));
+
+ assert_eq!(block.samples(), Labels::new(
+ ["structure", "first_atom", "second_atom", "cell_shift_a", "cell_shift_b", "cell_shift_c"],
+ &[[0, 0, 1, 0, 0, 0], [0, 0, 2, 0, 0, 0]]
+ ));
+
+ let array = block.values().to_array();
+ let expected = &ndarray::arr3(&[
+ [[0.0], [0.75545], [-0.58895]],
+ [[0.0], [-0.75545], [-0.58895]]
+ ]).into_dyn();
+ assert_relative_eq!(array, expected, max_relative=1e-6);
+
+ let block = descriptor.block_by_id(1);
+ assert_eq!(block.properties(), Labels::new(["distance"], &[[1]]));
+
+ assert_eq!(block.components().len(), 1);
+ assert_eq!(block.components()[0], Labels::new(["pair_direction"], &[[0], [1], [2]]));
+
+ assert_eq!(block.samples(), Labels::new(
+ ["structure", "first_atom", "second_atom", "cell_shift_a", "cell_shift_b", "cell_shift_c"],
+ &[[0, 1, 0, 0, 0, 0], [0, 2, 0, 0, 0, 0]]
+ ));
+
+ let array = block.values().to_array();
+ let expected = &ndarray::arr3(&[
+ [[0.0], [-0.75545], [0.58895]],
+ [[0.0], [0.75545], [0.58895]]
+ ]).into_dyn();
+ assert_relative_eq!(array, expected, max_relative=1e-6);
+
+ let block = descriptor.block_by_id(2);
+ assert_eq!(block.samples(), Labels::new(
+ ["structure", "first_atom", "second_atom", "cell_shift_a", "cell_shift_b", "cell_shift_c"],
+ &[[0, 1, 2, 0, 0, 0], [0, 2, 1, 0, 0, 0]]
+ ));
+
+ let array = block.values().to_array();
+ let expected = &ndarray::arr3(&[
+ [[0.0], [-1.5109], [0.0]],
+ [[0.0], [1.5109], [0.0]]
+ ]).into_dyn();
+ assert_relative_eq!(array, expected, max_relative=1e-6);
+ }
+
+ #[test]
+ fn finite_differences_positions() {
+ let calculator = Calculator::from(Box::new(NeighborList {
+ cutoff: 1.0,
+ full_neighbor_list: false,
+ self_pairs: false,
+ }) as Box<dyn CalculatorBase>);
+
+ let system = test_system("water");
+ let options = crate::calculators::tests_utils::FinalDifferenceOptions {
+ displacement: 1e-6,
+ max_relative: 1e-9,
+ epsilon: 1e-16,
+ };
+ crate::calculators::tests_utils::finite_differences_positions(calculator, &system, options);
+
+ let calculator = Calculator::from(Box::new(NeighborList {
+ cutoff: 1.0,
+ full_neighbor_list: true,
+ self_pairs: false,
+ }) as Box<dyn CalculatorBase>);
+ crate::calculators::tests_utils::finite_differences_positions(calculator, &system, options);
+ }
+
+ #[test]
+ fn compute_partial() {
+ let calculator = Calculator::from(Box::new(NeighborList {
+ cutoff: 3.0,
+ full_neighbor_list: false,
+ self_pairs: false,
+ }) as Box<dyn CalculatorBase>);
+ let mut systems = test_systems(&["water", "methane"]);
+
+ let samples = Labels::new(
+ ["structure", "first_atom"],
+ &[[0, 1]],
+ );
+
+ let properties = Labels::new(
+ ["distance"],
+ &[[1]],
+ );
+
+ let keys = Labels::new(
+ ["species_first_atom", "species_second_atom"],
+ &[[-42, 1], [1, -42], [1, 1], [1, 6], [6, 1], [6, 6]]
+ );
+
+ crate::calculators::tests_utils::compute_partial(
+ calculator, &mut systems, &keys, &samples, &properties
+ );
+
+ let calculator = Calculator::from(Box::new(NeighborList {
+ cutoff: 3.0,
+ full_neighbor_list: true,
+ self_pairs: false,
+ }) as Box<dyn CalculatorBase>);
+ crate::calculators::tests_utils::compute_partial(
+ calculator, &mut systems, &keys, &samples, &properties
+ );
+ }
+
+ #[test]
+ fn check_self_pairs() {
+ let mut calculator = Calculator::from(Box::new(NeighborList {
+ cutoff: 2.0,
+ full_neighbor_list: true,
+ self_pairs: true,
+ }) as Box<dyn CalculatorBase>);
+ let mut systems = test_systems(&["water"]);
+
+ let descriptor = calculator.compute(&mut systems, Default::default()).unwrap();
+
+ assert_eq!(descriptor.keys(), &Labels::new(
+ ["species_first_atom", "species_second_atom"],
+ &[[-42, -42], [-42, 1], [1, -42], [1, 1]]
+ ));
+
+ let block = descriptor.block_by_id(3);
+ let block = block.data();
+ assert_eq!(*block.samples, Labels::new(
+ ["structure", "first_atom", "second_atom", "cell_shift_a", "cell_shift_b", "cell_shift_c"],
+ &[
+ [0, 1, 2, 0, 0, 0],
+ [0, 2, 1, 0, 0, 0],
+ [0, 1, 1, 0, 0, 0],
+ [0, 2, 2, 0, 0, 0],
+ ]
+ ));
+
+ }
+}
+