def read_old_gpw(filename): from gpaw.io.tar import Reader r = Reader(filename) positions = r.get('CartesianPositions') * Bohr numbers = r.get('AtomicNumbers') cell = r.get('UnitCell') * Bohr pbc = r.get('BoundaryConditions') tags = r.get('Tags') magmoms = r.get('MagneticMoments') energy = r.get('PotentialEnergy') * Hartree if r.has_array('CartesianForces'): forces = r.get('CartesianForces') * Hartree / Bohr else: forces = None atoms = Atoms(positions=positions, numbers=numbers, cell=cell, pbc=pbc) if tags.any(): atoms.set_tags(tags) if magmoms.any(): atoms.set_initial_magnetic_moments(magmoms) magmom = magmoms.sum() else: magmoms = None magmom = None atoms.calc = SinglePointDFTCalculator(atoms, energy=energy, forces=forces, magmoms=magmoms, magmom=magmom) kpts = [] if r.has_array('IBZKPoints'): for w, kpt, eps_n, f_n in zip(r.get('IBZKPointWeights'), r.get('IBZKPoints'), r.get('Eigenvalues'), r.get('OccupationNumbers')): kpts.append(SinglePointKPoint(w, kpt[0], kpt[1], eps_n[0], f_n[0])) atoms.calc.kpts = kpts return atoms
def wrap_old_gpw_reader(filename): warnings.warn('You are reading an old-style gpw-file. Please check ' 'the results carefully!') r = Reader(filename) data = { 'version': -1, 'gpaw_version': '1.0', 'ha': Ha, 'bohr': Bohr, 'scf.': { 'converged': True }, 'atoms.': {}, 'wave_functions.': {} } class DictBackend: def write(self, **kwargs): data['atoms.'].update(kwargs) write_atoms(DictBackend(), read_atoms(r)) e_total_extrapolated = r.get('PotentialEnergy').item() * Ha magmom_a = r.get('MagneticMoments') data['results.'] = { 'energy': e_total_extrapolated, 'magmoms': magmom_a, 'magmom': magmom_a.sum() } if r.has_array('CartesianForces'): data['results.']['forces'] = r.get('CartesianForces') * Ha / Bohr p = data['parameters.'] = {} p['xc'] = r['XCFunctional'] p['nbands'] = r.dimension('nbands') p['spinpol'] = (r.dimension('nspins') == 2) bzk_kc = r.get('BZKPoints', broadcast=True) if r.has_array('NBZKPoints'): p['kpts'] = r.get('NBZKPoints', broadcast=True) if r.has_array('MonkhorstPackOffset'): offset_c = r.get('MonkhorstPackOffset', broadcast=True) if offset_c.any(): p['kpts'] = monkhorst_pack(p['kpts']) + offset_c else: p['kpts'] = bzk_kc if r['version'] < 4: usesymm = r['UseSymmetry'] if usesymm is None: p['symmetry'] = {'time_reversal': False, 'point_group': False} elif usesymm: p['symmetry'] = {'time_reversal': True, 'point_group': True} else: p['symmetry'] = {'time_reversal': True, 'point_group': False} else: p['symmetry'] = { 'point_group': r['SymmetryOnSwitch'], 'symmorphic': r['SymmetrySymmorphicSwitch'], 'time_reversal': r['SymmetryTimeReversalSwitch'], 'tolerance': r['SymmetryToleranceCriterion'] } p['basis'] = r['BasisSet'] try: h = r['GridSpacing'] except KeyError: # CMR can't handle None! h = None if h is not None: p['h'] = Bohr * h if r.has_array('GridPoints'): p['gpts'] = r.get('GridPoints') p['lmax'] = r['MaximumAngularMomentum'] p['setups'] = r['SetupTypes'] p['fixdensity'] = r['FixDensity'] nbtc = r['NumberOfBandsToConverge'] if not isinstance(nbtc, (int, str)): # The string 'all' was eval'ed to the all() function! nbtc = 'all' p['convergence'] = { 'density': r['DensityConvergenceCriterion'], 'energy': r['EnergyConvergenceCriterion'] * Ha, 'eigenstates': r['EigenstatesConvergenceCriterion'], 'bands': nbtc } mixer = r['MixClass'] weight = r['MixWeight'] for key in ['basis', 'setups']: dct = p[key] if isinstance(dct, dict) and None in dct: dct['default'] = dct.pop(None) if mixer == 'Mixer': from gpaw.mixer import Mixer elif mixer == 'MixerSum': from gpaw.mixer import MixerSum as Mixer elif mixer == 'MixerSum2': from gpaw.mixer import MixerSum2 as Mixer elif mixer == 'MixerDif': from gpaw.mixer import MixerDif as Mixer elif mixer == 'DummyMixer': from gpaw.mixer import DummyMixer as Mixer else: Mixer = None if Mixer is None: p['mixer'] = None else: p['mixer'] = Mixer(r['MixBeta'], r['MixOld'], weight) p['stencils'] = (r['KohnShamStencil'], r['InterpolationStencil']) vt_sG = r.get('PseudoPotential') * Ha ps = r['PoissonStencil'] if isinstance(ps, int) or ps == 'M': poisson = {'name': 'fd'} poisson['nn'] = ps if data['atoms.']['pbc'] == [1, 1, 0]: v1, v2 = vt_sG[0, :, :, [0, -1]].mean(axis=(1, 2)) if abs(v1 - v2) > 0.01: warnings.warn('I am guessing that this calculation was done ' 'with a dipole-layer correction?') poisson['dipolelayer'] = 'xy' p['poissonsolver'] = poisson p['charge'] = r['Charge'] fixmom = r['FixMagneticMoment'] p['occupations'] = FermiDirac(r['FermiWidth'] * Ha, fixmagmom=fixmom) p['mode'] = r['Mode'] if p['mode'] == 'pw': p['mode'] = PW(ecut=r['PlaneWaveCutoff'] * Ha) if len(bzk_kc) == 1 and not bzk_kc[0].any(): # Gamma point only: if r['DataType'] == 'Complex': p['dtype'] = complex data['occupations.'] = { 'fermilevel': r['FermiLevel'] * Ha, 'split': r.parameters.get('FermiSplit', 0) * Ha, 'h**o': np.nan, 'lumo': np.nan } data['density.'] = { 'density': r.get('PseudoElectronDensity') * Bohr**-3, 'atomic_density_matrices': r.get('AtomicDensityMatrices') } data['hamiltonian.'] = { 'e_coulomb': r['Epot'] * Ha, 'e_entropy': -r['S'] * Ha, 'e_external': r['Eext'] * Ha, 'e_kinetic': r['Ekin'] * Ha, 'e_total_extrapolated': e_total_extrapolated, 'e_xc': r['Exc'] * Ha, 'e_zero': r['Ebar'] * Ha, 'potential': vt_sG, 'atomic_hamiltonian_matrices': r.get('NonLocalPartOfHamiltonian') * Ha } data['hamiltonian.']['e_total_free'] = (sum( data['hamiltonian.'][e] for e in [ 'e_coulomb', 'e_entropy', 'e_external', 'e_kinetic', 'e_xc', 'e_zero' ])) if r.has_array('GLLBPseudoResponsePotential'): data['hamiltonian.']['xc.'] = { 'gllb_pseudo_response_potential': r.get('GLLBPseudoResponsePotential') * Ha, 'gllb_dxc_pseudo_response_potential': r.get('GLLBDxcPseudoResponsePotential') * Ha / Bohr, 'gllb_atomic_density_matrices': r.get('GLLBAtomicDensityMatrices'), 'gllb_atomic_response_matrices': r.get('GLLBAtomicResponseMatrices'), 'gllb_dxc_atomic_density_matrices': r.get('GLLBDxcAtomicDensityMatrices'), 'gllb_dxc_atomic_response_matrices': r.get('GLLBDxcAtomicResponseMatrices') } special = [('eigenvalues', 'Eigenvalues'), ('occupations', 'OccupationNumbers'), ('projections', 'Projections')] if r['Mode'] == 'pw': special.append(('coefficients', 'PseudoWaveFunctions')) try: data['wave_functions.']['indices'] = r.get('PlaneWaveIndices') except KeyError: pass elif r['Mode'] == 'fd': special.append(('values', 'PseudoWaveFunctions')) else: special.append(('coefficients', 'WaveFunctionCoefficients')) for name, old in special: try: fd, shape, size, dtype = r.get_file_object(old, ()) except KeyError: continue offset = fd data['wave_functions.'][name + '.'] = { 'ndarray': (shape, dtype.name, offset) } new = ulm.Reader(devnull, data=data, little_endian=r.byteswap ^ np.little_endian) for ref in new._data['wave_functions']._data.values(): try: ref.fd = ref.offset except AttributeError: continue ref.offset = 0 return new