Source code for sisl.io.scaleup.ref

from __future__ import division, print_function

# Import sile objects
from .sile import SileScaleUp
from ..sile import *

# Import the geometry object
import sisl._array as _a
from sisl import Geometry, Atom, SuperCell
from sisl.unit import unit_convert

import numpy as np

__all__ = ['refSileScaleUp', 'restartSileScaleUp']

Bohr2Ang = unit_convert('Bohr', 'Ang')
Ang2Bohr = unit_convert('Ang', 'Bohr')


[docs]class refSileScaleUp(SileScaleUp): """ REF file object for ScaleUp """
[docs] @sile_fh_open() def read_supercell(self): """ Reads a supercell from the Sile """ # 1st line is number of supercells nsc = _a.fromiteri(map(int, self.readline().split()[:3])) self.readline() # natoms, nspecies self.readline() # species cell = _a.fromiterd(map(float, self.readline().split()[:9])) # Typically ScaleUp uses very large unit-cells # so supercells will typically be restricted to [3, 3, 3] return SuperCell(cell * Bohr2Ang, nsc=nsc)
[docs] @sile_fh_open() def read_geometry(self, primary=False, **kwargs): """ Reads a geometry from the Sile """ # 1st line is number of supercells nsc = _a.fromiteri(map(int, self.readline().split()[:3])) na, ns = map(int, self.readline().split()[:2]) # Convert species to atom objects try: species = get_sile(self.file.rsplit('REF', 1)[0] + 'orbocc').read_atom() except: species = [Atom(s) for s in self.readline().split()[:ns]] # Total number of super-cells if primary: # Only read in the primary unit-cell ns = 1 else: ns = np.prod(nsc) cell = _a.fromiterd(map(float, self.readline().split())) try: cell.shape = (3, 3) if primary: cell[0, :] /= nsc[0] cell[1, :] /= nsc[1] cell[2, :] /= nsc[2] except: c = np.empty([3, 3], np.float64) c[0, 0] = 1. + cell[0] c[0, 1] = cell[5] / 2. c[0, 2] = cell[4] / 2. c[1, 0] = cell[5] / 2. c[1, 1] = 1. + cell[1] c[1, 2] = cell[3] / 2. c[2, 0] = cell[4] / 2. c[2, 1] = cell[3] / 2. c[2, 2] = 1. + cell[2] cell = c * Ang2Bohr sc = SuperCell(cell * Bohr2Ang, nsc=nsc) # Create list of coordinates and atoms xyz = np.empty([na * ns, 3], np.float64) atoms = [None] * na * ns # Read the geometry for ia in range(na * ns): # Retrieve line # ix iy iz ia is x y z line = self.readline().split() atoms[ia] = species[int(line[4]) - 1] xyz[ia, :] = _a.fromiterd(map(float, line[5:8])) return Geometry(xyz * Bohr2Ang, atoms, sc=sc)
[docs] @sile_fh_open() def write_geometry(self, geom, fmt='18.8e'): """ Writes the geometry to the contained file """ # Check that we can write to the file sile_raise_write(self) # 1st line is number of supercells self._write('{:5d}{:5d}{:5d}\n'.format(*geom.sc.nsc // 2 + 1)) # natoms, nspecies self._write('{:5d}{:5d}\n'.format(len(geom), len(geom.atom.atom))) s = '' for a in geom.atom.atom: # Append the species label s += '{:<10}'.format(a.tag) self._write(s + '\n') fmt_str = '{{:{0}}} '.format(fmt) * 9 + '\n' self._write(fmt_str.format(*(geom.cell*Ang2Bohr).reshape(-1))) # Create line # ix iy iz ia is x y z line = '{:5d}{:5d}{:5d}{:5d}{:5d}' + '{{:{0}}}'.format(fmt) * 3 + '\n' args = [None] * 8 for _, isc in geom.sc: if np.any(isc < 0): continue # Write the geometry for ia in geom: args[0] = isc[0] args[1] = isc[1] args[2] = isc[2] args[3] = ia + 1 args[4] = geom.atom.specie[ia] + 1 args[5] = geom.xyz[ia, 0] * Ang2Bohr args[6] = geom.xyz[ia, 1] * Ang2Bohr args[7] = geom.xyz[ia, 2] * Ang2Bohr self._write(line.format(*args))
def ArgumentParser(self, p=None, *args, **kwargs): """ Returns the arguments that is available for this Sile """ newkw = Geometry._ArgumentParser_args_single() newkw.update(kwargs) return self.read_geometry().ArgumentParser(p, *args, **newkw)
# The restart file is _equivalent_ but with displacements class restartSileScaleUp(refSileScaleUp): @sile_fh_open() def read_geometry(self, *args, **kwargs): """ Read geometry of the restart file This will also try and read the corresponding .REF file such that final coordinates are returned. Note that a .restart file from ScaleUp only contains the displacements from a .REF file and thus it is not the *actual* atomic coordinates. If the .REF file does not exist the returned cell vectors correspond to the strain tensor (+1 along the diagonal). """ try: ref = get_sile(self.file.rsplit('restart', 1)[0] + 'REF').read_geometry() except: ref = None restart = super(restartSileScaleUp, self).read_geometry() if not ref is None: restart.sc = SuperCell(np.dot(ref.sc.cell, restart.sc.cell.T), nsc=restart.nsc) restart.xyz += ref.xyz return restart add_sile('REF', refSileScaleUp, case=False, gzip=True) add_sile('restart', restartSileScaleUp, case=False, gzip=True)