Source code for scm.plams.interfaces.adfsuite.adf

import numpy as np

from subprocess import CalledProcessError

from .scmjob import SCMJob, SCMResults
from ...core.errors import ResultsError
from ...core.settings import Settings
from ...core.functions import config, log
from import Units
from import PT

__all__ = ['ADFJob', 'ADFResults']

[docs]class ADFResults(SCMResults): """A specialized |SCMResults| subclass for accessing the results of |ADFJob|.""" _kfext = '.t21' _rename_map = {'TAPE{}'.format(i) : '$JN.t{}'.format(i) for i in range(10,100)}
[docs] def get_properties(self): """get_properties() Return a dictionary with all the entries from ``Properties`` section in the main KF file (``$JN.t21``). """ ret = {} for sec,var in self._kf: if sec == 'Properties': ret[var] = self.readkf(sec,var) return ret
[docs] def get_main_molecule(self): """get_main_molecule() Return a |Molecule| instance based on the ``Geometry`` section in the main KF file (``$JN.t21``). For runs with multiple geometries (geometry optimization, transition state search, intrinsic reaction coordinate) this is the **final** geometry. In such a case, to access the initial (or any intermediate) coordinates please use :meth:`get_input_molecule` or extract coordinates from section ``History``, variables ``xyz 1``, ``xyz 2`` and so on. Mind the fact that all coordinates written by ADF to ``History`` section are in bohr and internal atom order:: mol = results.get_molecule(section='History', variable='xyz 1', unit='bohr', internal=True) """ return self.get_molecule(section='Geometry', variable='xyz InputOrder', unit='bohr')
[docs] def get_input_molecule(self): """get_input_molecule() Return a |Molecule| instance with initial coordinates. All data used by this method is taken from ``$JN.t21`` file. The ``molecule`` attribute of the corresponding job is ignored. """ if ('History', 'nr of geometries') in self._kf: return self.get_molecule(section='History', variable='xyz 1', unit='bohr', internal=True) return self.get_main_molecule()
[docs] def get_energy(self, unit='au'): """get_energy(unit='au') Return final bond energy, expressed in *unit*. """ return self._get_single_value('Energy', 'Bond Energy', unit)
[docs] def get_dipole_vector(self, unit='au'): """get_dipole_vector(unit='au') Return the dipole vector, expressed in *unit*. """ prop = self.get_properties() if 'Dipole' in prop: return Units.convert(prop['Dipole'], 'au', unit) raise ResultsError("'Dipole' not present in 'Properties' section of {}".format(self._kfpath()))
[docs] def get_gradients(self, eUnit='au', lUnit='bohr'): """get_gradients(eUnit='au', lUnit='bohr') Return the cartesian gradients from the 'Gradients_InputOrder' field of the 'GeoOpt' Section in the kf-file, expressed in given units. Returned value is a numpy array with shape (nAtoms,3). """ gradients = np.array(self.readkf('GeoOpt','Gradients_InputOrder')) gradients.shape = (-1,3) gradients *= (Units.conversion_ratio('au',eUnit) / Units.conversion_ratio('bohr',lUnit)) return gradients
[docs] def _extract_hessian(self, section, variable, internal_order): """_extract_hessian(section, variable, internal_order) Extract Hessian from *section*/*variable* of the TAPE21 file. Reorder from internal to input order, if *internal_order* is ``True``. """ hess_int = np.array(self.readkf(section, variable)) n = int((len(hess_int)/9 + 1)**0.5) hess_int.shape = (3*n,3*n) if internal_order: hess_inp = np.zeros(hess_int.shape) mapping = self._int2inp() for i in range(n): for j in range(n): ii,jj = mapping[i]-1, mapping[j]-1 hess_inp[3*i:3*i+3, 3*j:3*j+3] = hess_int[3*ii:3*ii+3, 3*jj:3*jj+3] return hess_inp return hess_int
[docs] def get_hessian(self): """get_hessian() Try extracting Hessian, either analytical or numerical, whichever is present in the TAPE21 file, in the input order. Returned value is a square numpy array of size 3*nAtoms. """ if ('Hessian', 'Analytical Hessian') in self._kf: return self._extract_hessian('Hessian', 'Analytical Hessian', True) if ('Freq', 'Hessian_complete') in self._kf: return self._extract_hessian('Freq', 'Hessian_complete', True) raise ResultsError('auto_hessian: Hessian does not seem to be present in t21 file.')
[docs] def get_energy_decomposition(self, unit='au'): """get_energy(unit='au') Return a dictionary with energy decomposition terms, expressed in *unit*. The following keys are present in the returned dictionary: ``Electrostatic``, ``Kinetic``, ``Coulomb``, ``XC``. The sum of all the values is equal to the value returned by :meth:`get_energy`. Note that additional contributions might be included, those are up to now: ``Dispersion``. """ ret = {} ret['Electrostatic'] = self._get_single_value('Energy', 'Electrostatic Energy', unit) ret['Kinetic'] = self._get_single_value('Energy', 'Kinetic Energy', unit) ret['Coulomb'] = self._get_single_value('Energy', 'Elstat Interaction', unit) ret['XC'] = self._get_single_value('Energy', 'XC Energy', unit) if ('Energy', 'Dispersion Energy') in self._kf: ret['Dispersion'] = self._get_single_value('Energy', 'Dispersion Energy', unit) return ret
[docs] def get_frequencies(self, unit='cm^-1'): """get_frequencies(unit='cm^-1') Return a numpy array of vibrational frequencies, expressed in *unit*. """ freqs = np.array(self.readkf('Freq', 'Frequencies')) return freqs * Units.conversion_ratio('cm^-1', unit)
[docs] def get_timings(self): """get_timings() Return a dictionary with timing statistics of the job execution. Returned dictionary contains keys ``cpu``, ``system`` and ``elapsed``. The values are corresponding timings, expressed in seconds. """ last = self.grep_output(' Total Used : ')[-1].split() ret = {} ret['elapsed'] = float(last[-1]) ret['system'] = float(last[-3]) ret['cpu'] = float(last[-5]) return ret
[docs] def _atomic_numbers_input_order(self): """_atomic_numbers_input_order() Return a list of atomic numbers, in the input order. """ n = self.readkf('Geometry', 'nr of atoms') tmp = self.readkf('Geometry', 'atomtype').split() atomtypes = {i+1 : PT.get_atomic_number(tmp[i]) for i in range(len(tmp))} atomtype_idx = self.readkf('Geometry', 'fragment and atomtype index')[-n:] atnums = [atomtypes[i] for i in atomtype_idx] return self.to_input_order(atnums)
[docs] def _int2inp(self): """_int2inp() Get mapping from the internal atom order to the input atom order. """ aoi = self.readkf('Geometry', 'atom order index') n = len(aoi)//2 return aoi[:n]
[docs] def recreate_molecule(self): """Recreate the input molecule for the corresponding job based on files present in the job folder. This method is used by |load_external|. """ if self._kfpresent(): return self.get_input_molecule() return None
[docs] def recreate_settings(self): """Recreate the input |Settings| instance for the corresponding job based on files present in the job folder. This method is used by |load_external|. """ if self._kfpresent(): if ('General', 'Input') in self._kf: tmp = self.readkf('General', 'Input') user_input = '\n'.join([tmp[i:160+i].rstrip() for i in range(0,len(tmp),160)]) else: user_input = self.readkf('General', 'user input') try: from scm.input_parser import InputParser with InputParser() as parser: inp = parser.to_settings('adf', user_input) except CalledProcessError: from scm.input_parser import convert_legacy_input new_input = convert_legacy_input(user_input, program='adf') try: with InputParser() as parser: inp = parser.to_settings('adf', new_input) except: log('Failed to recreate input settings from {}'.format(self._kf.path), 5) return None except: log('Failed to recreate input settings from {}'.format(self._kf.path), 5) return None s = Settings() s.input = inp del s.input.atoms s.soft_update(config.job) return s return None
class ADFJob(SCMJob): _result_type = ADFResults _command = 'adf' def _serialize_mol(self): for i,atom in enumerate(self.molecule): smb = self._atom_symbol(atom) suffix = '' if 'adf' in and 'fragment' in suffix += 'f={fragment} ' if 'adf' in and 'block' in suffix += 'b={block}' self.settings.input.atoms['_'+str(i+1)] = ('{:>5}'.format(i+1)) + atom.str(symbol=smb, suffix=suffix, def _remove_mol(self): if 'atoms' in self.settings.input: del self.settings.input.atoms