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//! Python bindings for QSym² symmetry analysis of vibrational coordinates.
use std::path::PathBuf;
use anyhow::format_err;
use ndarray::{Array1, Array2};
use num_complex::Complex;
use numpy::{PyArray1, PyArray2, PyArrayMethods};
use pyo3::exceptions::{PyIOError, PyRuntimeError};
use pyo3::prelude::*;
use crate::analysis::EigenvalueComparisonMode;
use crate::auxiliary::molecule::Molecule;
use crate::drivers::representation_analysis::angular_function::AngularFunctionRepAnalysisParams;
use crate::drivers::representation_analysis::vibrational_coordinate::{
VibrationalCoordinateRepAnalysisDriver, VibrationalCoordinateRepAnalysisParams,
};
use crate::drivers::representation_analysis::{
CharacterTableDisplay, MagneticSymmetryAnalysisKind,
};
use crate::drivers::symmetry_group_detection::SymmetryGroupDetectionResult;
use crate::drivers::QSym2Driver;
use crate::io::format::qsym2_output;
use crate::io::{read_qsym2_binary, QSym2FileType};
use crate::symmetry::symmetry_group::{
MagneticRepresentedSymmetryGroup, UnitaryRepresentedSymmetryGroup,
};
use crate::symmetry::symmetry_transformation::SymmetryTransformationKind;
use crate::target::vibration::VibrationalCoordinateCollection;
type C128 = Complex<f64>;
// ==================
// Struct definitions
// ==================
/// Python-exposed structure to marshall real vibrational coordinate collections between Rust and
/// Python.
///
/// # Constructor arguments
///
/// * `coefficients` - The real coefficients for the vibrational coordinates of this collection.
/// Python type: `list[numpy.2darray[float]]`.
/// * `frequencies` - The real vibrational frequencies. Python type: `numpy.1darray[float]`.
/// * `threshold` - The threshold for comparisons. Python type: `float`.
#[pyclass]
#[derive(Clone)]
pub struct PyVibrationalCoordinateCollectionReal {
/// The real coefficients for the vibrational coordinates of this collection.
///
/// Python type: `list[numpy.2darray[float]]`.
coefficients: Array2<f64>,
/// The real vibrational frequencies.
///
/// Python type: `numpy.1darray[float]`.
frequencies: Array1<f64>,
/// The threshold for comparisons.
///
/// Python type: `float`.
threshold: f64,
}
#[pymethods]
impl PyVibrationalCoordinateCollectionReal {
/// Constructs a real vibrational coordinate collection.
///
/// # Arguments
///
/// * `coefficients` - The real coefficients for the vibrational coordinates of this collection.
/// Python type: `list[numpy.2darray[float]]`.
/// * `frequencies` - The real vibrational frequencies. Python type: `numpy.1darray[float]`.
/// * `threshold` - The threshold for comparisons. Python type: `float`.
#[new]
fn new(
coefficients: Bound<'_, PyArray2<f64>>,
frequencies: Bound<'_, PyArray1<f64>>,
threshold: f64,
) -> Self {
let vibs = Self {
coefficients: coefficients.to_owned_array(),
frequencies: frequencies.to_owned_array(),
threshold,
};
vibs
}
}
impl PyVibrationalCoordinateCollectionReal {
/// Extracts the information in the [`PyVibrationalCoordinateCollectionReal`] structure into
/// `QSym2`'s native [`VibrationalCoordinateCollection`] structure.
///
/// # Arguments
///
/// * `mol` - The molecule with which the vibrational coordinates are associated.
///
/// # Returns
///
/// The [`VibrationalCoordinateCollection`] structure with the same information.
///
/// # Errors
///
/// Errors if the [`VibrationalCoordinateCollection`] fails to build.
fn to_qsym2<'b, 'a: 'b>(
&'b self,
mol: &'a Molecule,
) -> Result<VibrationalCoordinateCollection<f64>, anyhow::Error> {
let vibs = VibrationalCoordinateCollection::<f64>::builder()
.mol(mol)
.coefficients(self.coefficients.clone())
.frequencies(self.frequencies.clone())
.threshold(self.threshold)
.build()
.map_err(|err| format_err!(err));
vibs
}
}
/// Python-exposed structure to marshall complex vibrational coordinate collections between Rust
/// and Python.
///
/// # Constructor arguments
///
/// * `coefficients` - The complex coefficients for the vibrational coordinates of this collection.
/// Python type: `list[numpy.2darray[complex]]`.
/// * `frequencies` - The complex vibrational frequencies. Python type: `numpy.1darray[complex]`.
/// * `threshold` - The threshold for comparisons. Python type: `float`.
#[pyclass]
#[derive(Clone)]
pub struct PyVibrationalCoordinateCollectionComplex {
/// The complex coefficients for the vibrational coordinates of this collection.
///
/// Python type: `list[numpy.2darray[complex]]`.
coefficients: Array2<C128>,
/// The complex vibrational frequencies.
///
/// Python type: `numpy.1darray[complex]`.
frequencies: Array1<C128>,
/// The threshold for comparisons.
///
/// Python type: `float`.
threshold: f64,
}
#[pymethods]
impl PyVibrationalCoordinateCollectionComplex {
/// Constructs a complex vibrational coordinate collection.
///
/// # Arguments
///
/// * `coefficients` - The complex coefficients for the vibrational coordinates of this
/// collection.
/// Python type: `list[numpy.2darray[complex]]`.
/// * `frequencies` - The complex vibrational frequencies. Python type: `numpy.1darray[complex]`.
/// * `threshold` - The threshold for comparisons. Python type: `float`.
#[new]
fn new(
coefficients: Bound<'_, PyArray2<C128>>,
frequencies: Bound<'_, PyArray1<C128>>,
threshold: f64,
) -> Self {
let vibs = Self {
coefficients: coefficients.to_owned_array(),
frequencies: frequencies.to_owned_array(),
threshold,
};
vibs
}
}
impl PyVibrationalCoordinateCollectionComplex {
/// Extracts the information in the [`PyVibrationalCoordinateCollectionComplex`] structure into
/// `QSym2`'s native [`VibrationalCoordinateCollection`] structure.
///
/// # Arguments
///
/// * `mol` - The molecule with which the vibrational coordinates are associated.
///
/// # Returns
///
/// The [`VibrationalCoordinateCollection`] structure with the same information.
///
/// # Errors
///
/// Errors if the [`VibrationalCoordinateCollection`] fails to build.
fn to_qsym2<'b, 'a: 'b>(
&'b self,
mol: &'a Molecule,
) -> Result<VibrationalCoordinateCollection<C128>, anyhow::Error> {
let vibs = VibrationalCoordinateCollection::<C128>::builder()
.mol(mol)
.coefficients(self.coefficients.clone())
.frequencies(self.frequencies.clone())
.threshold(self.threshold)
.build()
.map_err(|err| format_err!(err));
vibs
}
}
// ================
// Enum definitions
// ================
/// Python-exposed enumerated type to handle the union type
/// `PyVibrationalCoordinateCollectionReal | PyVibrationalCoordinateCollectionComplex` in Python.
#[derive(FromPyObject)]
pub enum PyVibrationalCoordinateCollection {
/// Variant for complex Python-exposed vibrational coordinate collection.
Real(PyVibrationalCoordinateCollectionReal),
/// Variant for complex Python-exposed vibrational coordinate collection.
Complex(PyVibrationalCoordinateCollectionComplex),
}
// =====================
// Functions definitions
// =====================
/// Python-exposed function to perform representation symmetry analysis for real and complex
/// vibrational coordinate collections and log the result via the `qsym2-output` logger at the
/// `INFO` level.
///
/// # Arguments
///
/// * `inp_sym` - A path to the [`QSym2FileType::Sym`] file containing the symmetry-group detection
/// result for the system. This will be used to construct abstract groups and character tables for
/// representation analysis. Python type: `str`.
/// * `pyvibs` - A Python-exposed vibrational coordinate collection whose coefficients are of type `
/// float64` or `complex128`.
/// Python type: `PyVibrationalCoordinateCollectionReal | PyVibrationalCoordinateCollectionComplex`
/// * `integrality_threshold` - The threshold for verifying if subspace multiplicities are
/// integral. Python type: `float`.
/// * `linear_independence_threshold` - The threshold for determining the linear independence
/// subspace via the non-zero eigenvalues of the orbit overlap matrix. Python type: `float`.
/// * `use_magnetic_group` - An option indicating if the magnetic group is to be used for symmetry
/// analysis, and if so, whether unitary representations or unitary-antiunitary corepresentations
/// should be used. Python type: `None | MagneticSymmetryAnalysisKind`.
/// * `use_double_group` - A boolean indicating if the double group of the prevailing symmetry
/// group is to be used for representation analysis instead. Python type: `bool`.
/// * `use_cayley_table` - A boolean indicating if the Cayley table for the group, if available,
/// should be used to speed up the calculation of orbit overlap matrices. Python type: `bool`.
/// * `symmetry_transformation_kind` - An enumerated type indicating the type of symmetry
/// transformations to be performed on the origin determinant to generate the orbit. If this
/// contains spin transformation, the determinant will be augmented to generalised spin constraint
/// automatically. Python type: `SymmetryTransformationKind`.
/// * `eigenvalue_comparison_mode` - An enumerated type indicating the mode of comparison of orbit
/// overlap eigenvalues with the specified `linear_independence_threshold`.
/// Python type: `EigenvalueComparisonMode`.
/// * `write_character_table` - A boolean indicating if the character table of the prevailing
/// symmetry group is to be printed out. Python type: `bool`.
/// * `infinite_order_to_finite` - The finite order with which infinite-order generators are to be
/// interpreted to form a finite subgroup of the prevailing infinite group. This finite subgroup
/// will be used for symmetry analysis. Python type: `Optional[int]`.
/// * `angular_function_integrality_threshold` - The threshold for verifying if subspace
/// multiplicities are integral for the symmetry analysis of angular functions. Python type:
/// `float`.
/// * `angular_function_linear_independence_threshold` - The threshold for determining the linear
/// independence subspace via the non-zero eigenvalues of the orbit overlap matrix for the symmetry
/// analysis of angular functions. Python type: `float`.
/// * `angular_function_max_angular_momentum` - The maximum angular momentum order to be used in
/// angular function symmetry analysis. Python type: `int`.
#[pyfunction]
#[pyo3(signature = (
inp_sym,
pyvibs,
integrality_threshold,
linear_independence_threshold,
use_magnetic_group,
use_double_group,
use_cayley_table,
symmetry_transformation_kind,
eigenvalue_comparison_mode,
write_character_table=true,
infinite_order_to_finite=None,
angular_function_integrality_threshold=1e-7,
angular_function_linear_independence_threshold=1e-7,
angular_function_max_angular_momentum=2
))]
pub fn rep_analyse_vibrational_coordinate_collection(
py: Python<'_>,
inp_sym: PathBuf,
pyvibs: PyVibrationalCoordinateCollection,
integrality_threshold: f64,
linear_independence_threshold: f64,
use_magnetic_group: Option<MagneticSymmetryAnalysisKind>,
use_double_group: bool,
use_cayley_table: bool,
symmetry_transformation_kind: SymmetryTransformationKind,
eigenvalue_comparison_mode: EigenvalueComparisonMode,
write_character_table: bool,
infinite_order_to_finite: Option<u32>,
angular_function_integrality_threshold: f64,
angular_function_linear_independence_threshold: f64,
angular_function_max_angular_momentum: u32,
) -> PyResult<()> {
py.allow_threads(|| {
let pd_res: SymmetryGroupDetectionResult =
read_qsym2_binary(inp_sym.clone(), QSym2FileType::Sym)
.map_err(|err| PyIOError::new_err(err.to_string()))?;
let mut file_name = inp_sym.to_path_buf();
file_name.set_extension(QSym2FileType::Sym.ext());
qsym2_output!(
"Symmetry-group detection results read in from {}.",
file_name.display(),
);
qsym2_output!("");
let mol = &pd_res.pre_symmetry.recentred_molecule;
let afa_params = AngularFunctionRepAnalysisParams::builder()
.integrality_threshold(angular_function_integrality_threshold)
.linear_independence_threshold(angular_function_linear_independence_threshold)
.max_angular_momentum(angular_function_max_angular_momentum)
.build()
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?;
match &pyvibs {
PyVibrationalCoordinateCollection::Real(pyvibs_r) => {
let vibs_r = pyvibs_r
.to_qsym2(mol)
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?;
let vca_params = VibrationalCoordinateRepAnalysisParams::<f64>::builder()
.integrality_threshold(integrality_threshold)
.linear_independence_threshold(linear_independence_threshold)
.use_magnetic_group(use_magnetic_group.clone())
.use_double_group(use_double_group)
.use_cayley_table(use_cayley_table)
.symmetry_transformation_kind(symmetry_transformation_kind)
.eigenvalue_comparison_mode(eigenvalue_comparison_mode)
.write_character_table(if write_character_table {
Some(CharacterTableDisplay::Symbolic)
} else {
None
})
.infinite_order_to_finite(infinite_order_to_finite)
.build()
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?;
match &use_magnetic_group {
Some(MagneticSymmetryAnalysisKind::Corepresentation) => {
let mut vca_driver = VibrationalCoordinateRepAnalysisDriver::<
MagneticRepresentedSymmetryGroup,
f64,
>::builder()
.parameters(&vca_params)
.angular_function_parameters(&afa_params)
.vibrational_coordinate_collection(&vibs_r)
.symmetry_group(&pd_res)
.build()
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?;
vca_driver
.run()
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?
}
Some(MagneticSymmetryAnalysisKind::Representation) | None => {
let mut vca_driver = VibrationalCoordinateRepAnalysisDriver::<
UnitaryRepresentedSymmetryGroup,
f64,
>::builder()
.parameters(&vca_params)
.angular_function_parameters(&afa_params)
.vibrational_coordinate_collection(&vibs_r)
.symmetry_group(&pd_res)
.build()
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?;
vca_driver
.run()
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?
}
};
}
PyVibrationalCoordinateCollection::Complex(pyvibs_c) => {
let vibs_c = pyvibs_c
.to_qsym2(mol)
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?;
let vca_params = VibrationalCoordinateRepAnalysisParams::<f64>::builder()
.integrality_threshold(integrality_threshold)
.linear_independence_threshold(linear_independence_threshold)
.use_magnetic_group(use_magnetic_group.clone())
.use_double_group(use_double_group)
.use_cayley_table(use_cayley_table)
.symmetry_transformation_kind(symmetry_transformation_kind)
.eigenvalue_comparison_mode(eigenvalue_comparison_mode)
.write_character_table(if write_character_table {
Some(CharacterTableDisplay::Symbolic)
} else {
None
})
.infinite_order_to_finite(infinite_order_to_finite)
.build()
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?;
match &use_magnetic_group {
Some(MagneticSymmetryAnalysisKind::Corepresentation) => {
let mut vca_driver = VibrationalCoordinateRepAnalysisDriver::<
MagneticRepresentedSymmetryGroup,
C128,
>::builder()
.parameters(&vca_params)
.angular_function_parameters(&afa_params)
.vibrational_coordinate_collection(&vibs_c)
.symmetry_group(&pd_res)
.build()
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?;
vca_driver
.run()
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?
}
Some(MagneticSymmetryAnalysisKind::Representation) | None => {
let mut vca_driver = VibrationalCoordinateRepAnalysisDriver::<
UnitaryRepresentedSymmetryGroup,
C128,
>::builder()
.parameters(&vca_params)
.angular_function_parameters(&afa_params)
.vibrational_coordinate_collection(&vibs_c)
.symmetry_group(&pd_res)
.build()
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?;
vca_driver
.run()
.map_err(|err| PyRuntimeError::new_err(err.to_string()))?
}
};
}
}
Ok(())
})
}