コード例 #1
0
ファイル: basic.py プロジェクト: quanshengwu/aiida-vasp
 def setUp(self):
     self.calc_cls = CalculationFactory('vasp.base.BasicCalculation')
     Common.import_paw()
     Paw = DataFactory('vasp.paw')
     self.code = Code()
     self.code.set_computer(self.computer)
     self.code.set_remote_computer_exec((self.computer, '/bin/foo'))
     self.paw_in = Paw.load_paw(element='In')[0]
     self.paw_as = Paw.load_paw(element='As')[0]
     self.tmp, self.tmpf = tempfile.mkstemp()
コード例 #2
0
    def inner(calculation_string, parameters=None):  # pylint: disable=missing-docstring
        from aiida.orm import DataFactory

        parameters = parameters if parameters else {}

        process, inputs = get_process_inputs(calculation_string=calculation_string, code_string='vasp')

        structure = DataFactory('structure')()
        structure.set_ase(read_vasp(sample('GaAs/POSCAR')))
        inputs.structure = structure

        paw_cls = DataFactory('vasp.paw')
        ga_paw = paw_cls.load_paw(family='pbe', symbol='Ga')[0]
        as_paw = paw_cls.load_paw(family='pbe', symbol='As')[0]
        inputs.paw = {'Ga': ga_paw, 'As': as_paw}

        kpoints = DataFactory('array.kpoints')()
        kpoints.set_kpoints_mesh([8, 8, 8])
        inputs.kpoints = kpoints

        parameters_input = DataFactory('parameter')(
            dict=ChainMap(parameters, dict(
                nbands=24,
                gga='PE',
                gga_compat=False,
                ismear=0,
                lorbit=11,
                lsorbit=True,
                sigma=0.05,
            )))
        inputs.parameters = parameters_input
        inputs._options.resources = {'num_machines': 1, 'num_mpiprocs_per_machine': 12}
        inputs._options.withmpi = True
        inputs._options.queue_name = 'dphys_compute'
        inputs._options.max_wallclock_seconds = 600

        return process, inputs
コード例 #3
0
ファイル: test_tvc.py プロジェクト: quanshengwu/aiida-vasp
            'gga_compat': False,
            'encut': 280,
            'ediff': 1e-5,
            'ismear': 0,
            'lorbit': 11,
            'magmom': 3 * nions * [0.],
            'lsorbit': True,
            'nbands': nbands,
            'sigma': 0.05,
            'system': os.path.basename(cifname),
            'npar': 8,
        }))
tvc.use_structure(structure)

for kind in structure.get_kind_names():
    tvc.use_paw(Paw.load_paw(family='LDA', symbol=kind)[0], kind=kind)

tvc.use_kpoints(kp)

tvc.set_computer(Computer.get('monch'))
tvc.set_queue_name('dphys_compute')
tvc.set_resources({'num_machines': nbands / 8, 'num_mpiprocs_per_machine': 8})
tvc.set_max_memory_kb(16000000)

tvc.set_parser_name('vasp.vasp5')

tag = sys.argv[2]
q = QueryTool()
q.set_class(Tvc)
q.add_extra_filter('tag', '=', tag)
ql = map(lambda c: c.get_extra('test-nr'), q.run_query())