Source code for sisl.io.xsf

# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at https://mozilla.org/MPL/2.0/.
import os.path as osp
from numbers import Integral
import numpy as np

# Import sile objects
from .sile import *

from sisl._internal import set_module
from sisl import PeriodicTable
from sisl import Geometry, AtomUnknown, SuperCell
from sisl.utils import str_spec
import sisl._array as _a


__all__ = ['xsfSile', 'axsfSile']


def _get_kw_index(key):
    # Get the integer in a line like 'ATOMS 2', converted to 0-indexing, and with -1 if no int is there
    kl = key.split()
    if len(kl) == 1:
        return -1
    return int(kl[1]) - 1


@set_module("sisl.io")
class xsfSile(Sile):
    """ XSF file for XCrySDen """

    def _setup(self, *args, **kwargs):
        """ Setup the `xsfSile` after initialization """
        self._comment = ['#']

    def _write_key(self, key):
        self._write(f"{key}\n")

    _write_once = Sile._write

[docs] @sile_fh_open() def write_supercell(self, sc, fmt='.8f'): """ Writes the supercell to the contained file Parameters ---------- sc : SuperCell the supercell to be written fmt : str, optional used format for the precision of the data """ # Implementation notice! # The XSF files are compatible with Vesta, but ONLY # if there are no empty lines! # Check that we can write to the file sile_raise_write(self) # Write out top-header stuff from time import gmtime, strftime self._write_once('# File created by: sisl {}\n#\n'.format(strftime("%Y-%m-%d", gmtime()))) self._write_once('CRYSTAL\n#\n') self._write_once('# Primitive lattice vectors:\n#\n') self._write_key('PRIMVEC') # We write the cell coordinates as the cell coordinates fmt_str = f'{{:{fmt}}} ' * 3 + '\n' for i in [0, 1, 2]: self._write(fmt_str.format(*sc.cell[i, :])) # Convert the unit cell to a conventional cell (90-90-90)) # It seems this simply allows to store both formats in # the same file. self._write_once('#\n# Conventional lattice vectors:\n#\n') self._write_key('CONVVEC') convcell = sc.toCuboid(True)._v for i in [0, 1, 2]: self._write(fmt_str.format(*convcell[i, :]))
[docs] @sile_fh_open() def write_geometry(self, geometry, fmt='.8f', data=None): """ Writes the geometry to the contained file Parameters ---------- geometry : Geometry the geometry to be written fmt : str, optional used format for the precision of the data data : (geometry.na, 3), optional auxiliary data associated with the geometry to be saved along side. Internally in XCrySDen this data is named *Forces* """ self.write_supercell(geometry.sc, fmt) has_data = data is not None if has_data: data.shape = (-1, 3) self._write_once('#\n# Atomic coordinates (in primitive coordinates)\n#\n') self._write_key("PRIMCOORD") self._write(f'{len(geometry)} 1\n') non_valid_Z = (geometry.atoms.Z <= 0).nonzero()[0] if len(non_valid_Z) > 0: geometry = geometry.remove(non_valid_Z) if has_data: fmt_str = ( '{{0:3d}} {{1:{0}}} {{2:{0}}} {{3:{0}}} {{4:{0}}} {{5:{0}}} {{6:{0}}}\n' ).format(fmt) for ia in geometry: tmp = np.append(geometry.xyz[ia, :], data[ia, :]) self._write(fmt_str.format(geometry.atoms[ia].Z, *tmp)) else: fmt_str = '{{0:3d}} {{1:{0}}} {{2:{0}}} {{3:{0}}}\n'.format(fmt) for ia in geometry: self._write(fmt_str.format(geometry.atoms[ia].Z, *geometry.xyz[ia, :]))
@sile_fh_open() def _r_geometry_multiple(self, steps, ret_data=False, squeeze=False): asteps = steps steps = dict((step, i) for i, step in enumerate(steps)) # initialize all things cell = [None] * len(steps) cell_set = [False] * len(steps) xyz_set = [False] * len(steps) atom = [None for _ in steps] xyz = [None for _ in steps] data = [None for _ in steps] data_set = [not ret_data for _ in steps] line = " " all_loaded = False pt = PeriodicTable() while line != '' and not all_loaded: line = self.readline() if line.isspace(): continue kw = line.split()[0] if kw not in ("CONVVEC", "PRIMVEC", "PRIMCOORD"): continue step = _get_kw_index(line) if step != -1 and step not in steps: continue if step not in steps and step == -1: step = idstep = istep = None else: idstep = steps[step] istep = idstep if kw == "CONVVEC": if step is None: if not any(cell_set): cell_set = [True] * len(cell_set) else: continue elif cell_set[istep]: continue else: cell_set[istep] = True icell = _a.zerosd([3, 3]) for i in range(3): line = self.readline() icell[i] = line.split() if step is None: cell = [icell] * len(cell) else: cell[istep] = icell elif kw == "PRIMVEC": if step is None: cell_set = [True] * len(cell_set) else: cell_set[istep] = True icell = _a.zerosd([3, 3]) for i in range(3): line = self.readline() icell[i] = line.split() if step is None: cell = [icell] * len(cell) else: cell[istep] = icell elif kw == "PRIMCOORD": if step is None: raise ValueError(f"{self.__class__.__name__}" " contains an unindexed (or somehow malformed) 'PRIMCOORD'" " section but you've asked for a particular index. This" f" shouldn't happen. line:\n {line}" ) iatom = [] ixyz = [] idata = [] line = self.readline().split() for _ in range(int(line[0])): line = self.readline().split() if not xyz_set[istep]: iatom.append(pt.Z(line[0])) ixyz.append([float(x) for x in line[1:4]]) if ret_data and len(line) > 4: idata.append([float(x) for x in line[4:]]) if not xyz_set[istep]: atom[istep] = iatom xyz[istep] = ixyz xyz_set[istep] = True data[idstep] = idata data_set[idstep] = True all_loaded = all(xyz_set) and all(cell_set) and all(data_set) if not all(xyz_set): which = [asteps[i] for i in np.flatnonzero(xyz_set)] raise ValueError(f"{self.__class__.__name__} file did not contain atom coordinates for the following requested index: {which}") if ret_data: data = _a.arrayd(data) if data.size == 0: data.shape = (len(steps), len(xyz[0]), 0) xyz = _a.arrayd(xyz) cell = _a.arrayd(cell) atom = _a.arrayi(atom) geoms = [] for istep in range(len(steps)): if len(atom) == 0: geoms.append(si.Geometry(xyz[istep], sc=SuperCell(cell[istep]))) elif len(atom[0]) == 1 and atom[0][0] == -999: # should we perhaps do AtomUnknown? geoms.append(None) else: geoms.append(Geometry(xyz[istep], atoms=atom[istep], sc=SuperCell(cell[istep]))) if squeeze and len(steps) == 1: geoms = geoms[0] if ret_data: data = data[0] if ret_data: return geoms, data return geoms
[docs] def read_geometry(self, ret_data=False): """ Geometry contained in file, and optionally the associated data Parameters ---------- ret_data : bool, optional in case the the file has auxiliary data, return that as well. """ return self._r_geometry_multiple([-1], ret_data=ret_data, squeeze=True)
[docs] @sile_fh_open() def write_grid(self, *args, **kwargs): """ Store grid(s) data to an XSF file Examples -------- >>> g1 = Grid(0.1, sc=2.) >>> g2 = Grid(0.1, sc=2.) >>> get_sile('output.xsf', 'w').write_grid(g1, g2) Parameters ---------- *args : Grid a list of data-grids to be written to the XSF file. Each argument gets the field name ``?grid_<>`` where <> starts with the integer 0, and *?* is ``real_``/``imag_`` for complex valued grids. geometry : Geometry, optional the geometry stored in the file, defaults to ``args[0].geometry`` fmt : str, optional floating point format for data (.5e) buffersize : int, optional size of the buffer while writing the data, (6144) """ sile_raise_write(self) geom = kwargs.get('geometry', args[0].geometry) if geom is None: geom = Geometry([0, 0, 0], AtomUnknown(999), sc=args[0].sc) self.write_geometry(geom) # Buffer size for writing buffersize = kwargs.get('buffersize', min(6144, args[0].grid.size)) # Format for precision fmt = kwargs.get('fmt', '.5e') self._write('BEGIN_BLOCK_DATAGRID_3D\n') name = kwargs.get('name', 'sisl_grid_{}'.format(len(args))) # Transfer all spaces to underscores (no spaces allowed) self._write(' ' + name.replace(' ', '_') + '\n') _v3 = (('{:' + fmt + '} ') * 3).strip() + '\n' def write_cell(grid): # Now write the grid self._write(' {} {} {}\n'.format(*grid.shape)) self._write(' ' + _v3.format(*grid.origin)) self._write(' ' + _v3.format(*grid.cell[0, :])) self._write(' ' + _v3.format(*grid.cell[1, :])) self._write(' ' + _v3.format(*grid.cell[2, :])) for i, grid in enumerate(args): is_complex = np.iscomplexobj(grid.grid) name = kwargs.get(f'grid{i}', str(i)) if is_complex: self._write(f' BEGIN_DATAGRID_3D_real_{name}\n') else: self._write(f' BEGIN_DATAGRID_3D_{name}\n') write_cell(grid) # for z # for y # for x # write... _fmt = '{:' + fmt + '}\n' for x in np.nditer(np.asarray(grid.grid.real.T, order='C').reshape(-1), flags=['external_loop', 'buffered'], op_flags=[['readonly']], order='C', buffersize=buffersize): self._write((_fmt * x.shape[0]).format(*x.tolist())) self._write(' END_DATAGRID_3D\n') # Skip if not complex if not is_complex: continue self._write(f' BEGIN_DATAGRID_3D_imag_{name}\n') write_cell(grid) for x in np.nditer(np.asarray(grid.grid.imag.T, order='C').reshape(-1), flags=['external_loop', 'buffered'], op_flags=[['readonly']], order='C', buffersize=buffersize): self._write((_fmt * x.shape[0]).format(*x.tolist())) self._write(' END_DATAGRID_3D\n') self._write('END_BLOCK_DATAGRID_3D\n')
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) def ArgumentParser_out(self, p, *args, **kwargs): """ Adds arguments only if this file is an output file Parameters ---------- p : ``argparse.ArgumentParser`` the parser which gets amended the additional output options. """ import argparse ns = kwargs.get("namespace", None) if ns is None: class _(): pass ns = _() # We will add the vector data class VectorNoScale(argparse.Action): def __call__(self, parser, ns, no_value, option_string=None): setattr(ns, "_vector_scale", False) p.add_argument("--no-vector-scale", "-nsv", nargs=0, action=VectorNoScale, help="""Do not modify vector components (same as --vector-scale 1.)""") # Default to scale the vectors setattr(ns, "_vector_scale", True) # We will add the vector data class VectorScale(argparse.Action): def __call__(self, parser, ns, value, option_string=None): setattr(ns, '_vector_scale', float(value)) p.add_argument('--vector-scale', '-sv', metavar='SCALE', action=VectorScale, help="""Scale vector components by this factor.""") # We will add the vector data class Vectors(argparse.Action): def __call__(self, parser, ns, values, option_string=None): routine = values.pop(0) # Default input file input_file = getattr(ns, '_input_file', None) # Figure out which of the segments are a file for i, val in enumerate(values): if osp.isfile(str_spec(val)[0]): input_file = values.pop(i) break # Quick return if there is no input-file... if input_file is None: return # Try and read the vector from sisl.io import get_sile input_sile = get_sile(input_file, mode='r') vector = None if hasattr(input_sile, f'read_{routine}'): vector = getattr(input_sile, f'read_{routine}')(*values) if vector is None: # Try the read_data function d = {routine: True} vector = input_sile.read_data(*values, **d) if vector is None and len(values) > 1: # try and see if the first argument is a str, if # so use that as a keyword if isinstance(values[0], str): d = {values[0]: True} vector = input_sile.read_data(*values[1:], **d) # Clean the sile del input_sile if vector is None: # Use title to capitalize raise ValueError('{} could not be read from file: {}.'.format(routine.title(), input_file)) if len(vector) != len(ns._geometry): raise ValueError(f'read_{routine} could read from file: {input_file}, sizes does not conform to geometry.') setattr(ns, '_vector', vector) p.add_argument('--vector', '-v', metavar=('DATA', '*ARGS[, FILE]'), nargs='+', action=Vectors, help="""Adds vector arrows for each atom, first argument is type (force, moment, ...). If the current input file contains the vectors no second argument is necessary, else the file containing the data is required as the last input. Any arguments inbetween are passed to the `read_data` function (in order). By default the vectors scaled by 1 / max(|V|) such that the longest vector has length 1. """) @set_module("sisl.io") class axsfSile(xsfSile): """ AXSF file for XCrySDen When creating an AXSF file one must denote how many geometries to write out. It is also necessary to use the axsf in a context manager, otherwise it will overwrite itself repeatedly. >>> with axsfSile('file.axsf', 'w', steps=100) as axsf: ... for i in range(100): ... axsf.write_geometry(geom) """ def _setup(self, *args, steps=1, **kwargs): super()._setup(*args, **kwargs) # Index of last written geometry (or current geom when writing one) self._geometry_index = -1 # Total number of geometries intended to be written self._geometry_count = steps if self._geometry_count < 1 and "w" in self._mode: raise ValueError( "In write mode, the intended positive number of geometries must be passed in the" " `steps` keyword." ) def _incr_index(self): """ Increment the geometry index """ self._geometry_index += 1 def _write_key(self, key): self._write(f"{key} {self._geometry_index + 1}\n") def _write_once(self, string): if self._geometry_index <= 0: self._write(string)
[docs] @sile_fh_open() def write_geometry(self, geometry, fmt='.8f', data=None): """ Writes the geometry to the contained file Parameters ---------- geometry : Geometry the geometry to be written fmt : str, optional used format for the precision of the data data : (geometry.na, 3), optional auxiliary data associated with the geometry to be saved along side. Internally in XCrySDen this data is named *Forces* """ self._incr_index() self._write_once(f"ANIMSTEPS {self._geometry_count}\n") return super().write_geometry(geometry, fmt=fmt, data=data)
[docs] def read_geometry(self, index=-1, ret_data=False): """ Geometries and (possibly) associated data stored in the AXSF file Parameters ---------- index : int or iterable of int or None, optional The indices to load (0-indexed). If None, load all. If an integer is passed, a single Geometry is returned, and the leading dimension on data is removed. ret_data : bool, optional in case the file has auxiliary data, return that as well. Returns ------- geometries : list of Geometry or Geometry A list of geometries (or a single Geometries) corresponding to requested indices. data : ndarray of shape (nindex, natoms, nperatom) and dtype float64 Only returned if `data` is True. """ squeeze = isinstance(index, Integral) if index is None: index = np.arange(self._r_geometry_count()) else: index = _a.arrayi(index).ravel() index[index < 0] += self._r_geometry_count() return self._r_geometry_multiple(index, ret_data=ret_data, squeeze=squeeze)
@sile_fh_open() def _r_geometry_count(self): line = ' ' while line != '': line = self.readline() if line.startswith("ANIMSTEPS"): return _get_kw_index(line) + 1 raise ValueError(f"{self.__class__.__name__} did not find 'ANIMSTEPS' in the file...") write_grid = None add_sile('xsf', xsfSile, case=False, gzip=True) add_sile('axsf', axsfSile, case=False, gzip=True)