Chimie Théorique » QMX

import numpy as np

class Calculator:

    """Class for demonstrating the ASE-calculator interface.

    A good implementation of a calculator should store a copy of the

    atoms object used for the last calculation.  When one of the

    *get_potential_energy*, *get_forces*, or *get_stress* methods is

    called, the calculator should check if anything has changed since

    the last calculation and only do the calculation if it's really

    needed.  The Atoms class implements the methods *__eq__* and

    *__ne__* that can be used for checking identity (using *==* and

    *!=*): Two sets of atoms are considered identical if they have the

    same positions, atomic numbers, unit cell and periodic boundary

    conditions."""

    def get_potential_energy(self, atoms=None, force_consistent=False):

        """Return total energy.

        Both the energy extrapolated to zero Kelvin and the energy

        consistent with the forces (the free energy) can be

        returned."""

        return 0.0

    def get_forces(self, atoms):

        """Return the forces."""

        return np.zeros((len(atoms), 3))

    def get_stress(self, atoms):

        """Return the stress."""

        return np.zeros((3, 3))

    def calculation_required(self, atoms, quantities):

        """Check if a calculation is required.

        Check if the quantities in the *quantities* list have already

        been calculated for the atomic configuration *atoms*.  The

        quantities can be one or more of: 'energy', 'forces', 'stress',

        and 'magmoms'."""

        return False

    def set_atoms(self, atoms):

        """Let the calculator know the atoms.

        This method is optional.  If it exists, it will be called when

        the *Atoms.set_calculator()* method is called.

        *Don't* store a reference to *atoms* - that will create a

         cyclic reference loop!  Store a copy instead."""

        self.atoms = atoms.copy()

class DFTCalculator(Calculator):

    """Class for demonstrating the ASE interface to DFT-calculators."""

    def get_number_of_bands(self):

        """Return the number of bands."""

        return 42

    def get_xc_functional(self):

        """Return the XC-functional identifier.

        'LDA', 'PBE', ..."""

        return 'LDA'

    def get_bz_k_points(self):

        """Return all the k-points in the 1. Brillouin zone.

        The coordinates are relative to reciprocal latice vectors."""

        return np.zeros((1, 3))

    def get_number_of_spins(self):

        """Return the number of spins in the calculation.

        Spin-paired calculations: 1, spin-polarized calculation: 2."""

        return 1

    def get_spin_polarized(self):

        """Is it a spin-polarized calculation?"""

        return False

    def get_ibz_k_points(self):

        """Return k-points in the irreducible part of the Brillouin zone.

        The coordinates are relative to reciprocal latice vectors."""

        return np.zeros((1, 3))

    def get_k_point_weights(self):

        """Weights of the k-points.

        The sum of all weights is one."""

        return np.ones(1)

    def get_pseudo_density(self, spin=None, pad=True):

        """Return pseudo-density array.

        If *spin* is not given, then the total density is returned.

        Otherwise, the spin up or down density is returned (spin=0 or

        1)."""

        return np.zeros((40, 40, 40))

    def get_effective_potential(self, spin=0, pad=True):

        """Return pseudo-effective-potential array."""

        return np.zeros((40, 40, 40))

    def get_pseudo_wave_function(self, band=0, kpt=0, spin=0, broadcast=True,

                                 pad=True):

        """Return pseudo-wave-function array."""

        return np.zeros((40, 40, 40))

    def get_eigenvalues(self, kpt=0, spin=0):

        """Return eigenvalue array."""

        return np.arange(42, float)

    def get_occupation_numbers(self, kpt=0, spin=0):

        """Return occupation number array."""

        return np.ones(42)

    def get_fermi_level(self):

        """Return the Fermi level."""

        return 0.0

    def initial_wannier(self, initialwannier, kpointgrid, fixedstates,

                        edf, spin):

        """Initial guess for the shape of wannier functions.

        Use initial guess for wannier orbitals to determine rotation

        matrices U and C.

        """

        raise NotImplementedError

        return c, U

    def get_wannier_localization_matrix(self, nbands, dirG, kpoint,

                                        nextkpoint, G_I, spin):

        """Calculate integrals for maximally localized Wannier functions."""

    def get_magnetic_moment(self, atoms=None):

        """Return the total magnetic moment."""

        return self.occupation.magmom

    def get_number_of_grid_points(self):

        """Return the shape of arrays."""

        return self.gd.N_c