コード例 #1
0
    def test_setup(self):
        if "VASP_PSP_DIR" not in os.environ:
            os.environ["VASP_PSP_DIR"] = test_dir
        os.chdir(os.path.join(test_dir, 'setup_neb'))

        v = VaspNEBJob("hello", half_kpts=True)
        v.setup()

        incar = Incar.from_file("INCAR")
        count = multiprocessing.cpu_count()
        if count > 1:
            self.assertGreater(incar["NPAR"], 1)

        kpt = Kpoints.from_file("KPOINTS")
        kpt_pre = Kpoints.from_file("KPOINTS.orig")
        self.assertEqual(kpt_pre.style.name, "Monkhorst")
        self.assertEqual(kpt.style.name, "Gamma")

        shutil.copy("KPOINTS.orig", "KPOINTS")
        os.remove("INCAR.orig")
        os.remove("KPOINTS.orig")
        os.remove("POTCAR.orig")
        poscars = glob.glob("[0-9][0-9]/POSCAR.orig")
        for p in poscars:
            os.remove(p)
コード例 #2
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ファイル: test_jobs.py プロジェクト: matk86/custodian
    def test_postprocess(self):
        neb_outputs = ['INCAR', 'KPOINTS', 'POTCAR', 'vasprun.xml']
        neb_sub_outputs = [
            'CHG', 'CHGCAR', 'CONTCAR', 'DOSCAR', 'EIGENVAL', 'IBZKPT',
            'PCDAT', 'POSCAR', 'REPORT', 'PROCAR', 'OSZICAR', 'OUTCAR',
            'WAVECAR', 'XDATCAR'
        ]

        os.chdir(os.path.join(test_dir, 'postprocess_neb'))
        postprocess_neb = os.path.abspath(".")

        v = VaspNEBJob("hello", final=False, suffix=".test")
        v.postprocess()

        for f in neb_outputs:
            self.assertTrue(os.path.isfile('{}.test'.format(f)))
            os.remove('{}.test'.format(f))

        sub_folders = glob.glob("[0-9][0-9]")
        for sf in sub_folders:
            os.chdir(os.path.join(postprocess_neb, sf))
            for f in neb_sub_outputs:
                if os.path.exists(f):
                    self.assertTrue(os.path.isfile('{}.test'.format(f)))
                    os.remove('{}.test'.format(f))
コード例 #3
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ファイル: test_jobs.py プロジェクト: xhqu1981/custodian
    def test_setup(self):
        if "VASP_PSP_DIR" not in os.environ:
            os.environ["VASP_PSP_DIR"] = test_dir
        os.chdir(os.path.join(test_dir, 'setup_neb'))

        v = VaspNEBJob("hello", half_kpts=True)
        v.setup()

        incar = Incar.from_file("INCAR")
        count = multiprocessing.cpu_count()
        if count > 1:
            self.assertGreater(incar["NPAR"], 1)

        kpt = Kpoints.from_file("KPOINTS")
        kpt_pre = Kpoints.from_file("KPOINTS.orig")
        self.assertEqual(kpt_pre.style.name, "Monkhorst")
        self.assertEqual(kpt.style.name, "Gamma")

        shutil.copy("KPOINTS.orig", "KPOINTS")
        os.remove("INCAR.orig")
        os.remove("KPOINTS.orig")
        os.remove("POTCAR.orig")
        poscars = glob.glob("[0-9][0-9]/POSCAR.orig")
        for p in poscars:
            os.remove(p)
コード例 #4
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    def test_setup(self):
        with cd(os.path.join(test_dir, 'setup_neb')):
            with ScratchDir('.', copy_from_current_on_enter=True) as d:
                v = VaspNEBJob("hello", half_kpts=True)
                v.setup()

                incar = Incar.from_file("INCAR")
                count = multiprocessing.cpu_count()
                if count > 3:
                    self.assertGreater(incar["NPAR"], 1)

                kpt = Kpoints.from_file("KPOINTS")
                kpt_pre = Kpoints.from_file("KPOINTS.orig")
                self.assertEqual(kpt_pre.style.name, "Monkhorst")
                self.assertEqual(kpt.style.name, "Gamma")
コード例 #5
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ファイル: test_jobs.py プロジェクト: shyamd/custodian
    def test_setup(self):
        with cd(os.path.join(test_dir, 'setup_neb')):
            with ScratchDir('.', copy_from_current_on_enter=True) as d:
                v = VaspNEBJob("hello", half_kpts=True)
                v.setup()

                incar = Incar.from_file("INCAR")
                count = multiprocessing.cpu_count()
                if count > 3:
                    self.assertGreater(incar["NPAR"], 1)

                kpt = Kpoints.from_file("KPOINTS")
                kpt_pre = Kpoints.from_file("KPOINTS.orig")
                self.assertEqual(kpt_pre.style.name, "Monkhorst")
                self.assertEqual(kpt.style.name, "Gamma")
コード例 #6
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ファイル: test_jobs.py プロジェクト: janklinux/custodian
    def test_postprocess(self):
        neb_outputs = ["INCAR", "KPOINTS", "POTCAR", "vasprun.xml"]
        neb_sub_outputs = [
            "CHG",
            "CHGCAR",
            "CONTCAR",
            "DOSCAR",
            "EIGENVAL",
            "IBZKPT",
            "PCDAT",
            "POSCAR",
            "REPORT",
            "PROCAR",
            "OSZICAR",
            "OUTCAR",
            "WAVECAR",
            "XDATCAR",
        ]

        with cd(os.path.join(test_dir, "postprocess_neb")):
            postprocess_neb = os.path.abspath(".")

            v = VaspNEBJob("hello", final=False, suffix=".test")
            v.postprocess()

            for f in neb_outputs:
                self.assertTrue(os.path.isfile(f"{f}.test"))
                os.remove(f"{f}.test")

            sub_folders = glob.glob("[0-9][0-9]")
            for sf in sub_folders:
                os.chdir(os.path.join(postprocess_neb, sf))
                for f in neb_sub_outputs:
                    if os.path.exists(f):
                        self.assertTrue(os.path.isfile(f"{f}.test"))
                        os.remove(f"{f}.test")
コード例 #7
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ファイル: test_jobs.py プロジェクト: shyamd/custodian
    def test_postprocess(self):
        neb_outputs = ['INCAR', 'KPOINTS', 'POTCAR', 'vasprun.xml']
        neb_sub_outputs = ['CHG', 'CHGCAR', 'CONTCAR', 'DOSCAR',
                           'EIGENVAL', 'IBZKPT', 'PCDAT', 'POSCAR',
                           'REPORT', 'PROCAR', 'OSZICAR', 'OUTCAR',
                           'WAVECAR', 'XDATCAR']

        with cd(os.path.join(test_dir, 'postprocess_neb')):
            postprocess_neb = os.path.abspath(".")

            v = VaspNEBJob("hello", final=False, suffix=".test")
            v.postprocess()

            for f in neb_outputs:
                self.assertTrue(os.path.isfile('{}.test'.format(f)))
                os.remove('{}.test'.format(f))

            sub_folders = glob.glob("[0-9][0-9]")
            for sf in sub_folders:
                os.chdir(os.path.join(postprocess_neb, sf))
                for f in neb_sub_outputs:
                    if os.path.exists(f):
                        self.assertTrue(os.path.isfile('{}.test'.format(f)))
                        os.remove('{}.test'.format(f))
コード例 #8
0
ファイル: test_jobs.py プロジェクト: matk86/custodian
 def test_to_from_dict(self):
     v = VaspNEBJob("hello")
     v2 = VaspNEBJob.from_dict(v.as_dict())
     self.assertEqual(type(v2), type(v))
     self.assertEqual(v2.vasp_cmd, "hello")
コード例 #9
0
ファイル: run_calc.py プロジェクト: srshivani/atomate
    def run_task(self, fw_spec):

        handler_groups = {
            "default": [
                VaspErrorHandler(),
                MeshSymmetryErrorHandler(),
                UnconvergedErrorHandler(),
                NonConvergingErrorHandler(),
                PotimErrorHandler(),
                PositiveEnergyErrorHandler(),
                FrozenJobErrorHandler(),
                StdErrHandler(),
                DriftErrorHandler()
            ],
            "strict": [
                VaspErrorHandler(),
                MeshSymmetryErrorHandler(),
                UnconvergedErrorHandler(),
                NonConvergingErrorHandler(),
                PotimErrorHandler(),
                PositiveEnergyErrorHandler(),
                FrozenJobErrorHandler(),
                StdErrHandler(),
                AliasingErrorHandler(),
                DriftErrorHandler()
            ],
            "md": [VaspErrorHandler(),
                   NonConvergingErrorHandler()],
            "no_handler": []
        }

        vasp_cmd = env_chk(self["vasp_cmd"], fw_spec)

        if isinstance(vasp_cmd, str):
            vasp_cmd = os.path.expandvars(vasp_cmd)
            vasp_cmd = shlex.split(vasp_cmd)

        # initialize variables
        job_type = self.get("job_type", "normal")
        scratch_dir = env_chk(self.get("scratch_dir"), fw_spec)
        gzip_output = self.get("gzip_output", True)
        max_errors = self.get("max_errors", CUSTODIAN_MAX_ERRORS)
        auto_npar = env_chk(self.get("auto_npar"),
                            fw_spec,
                            strict=False,
                            default=False)
        gamma_vasp_cmd = env_chk(self.get("gamma_vasp_cmd"),
                                 fw_spec,
                                 strict=False,
                                 default=None)
        if gamma_vasp_cmd:
            gamma_vasp_cmd = shlex.split(gamma_vasp_cmd)

        # construct jobs
        if job_type == "normal":
            jobs = [
                VaspJob(vasp_cmd,
                        auto_npar=auto_npar,
                        gamma_vasp_cmd=gamma_vasp_cmd)
            ]
        elif job_type == "double_relaxation_run":
            jobs = VaspJob.double_relaxation_run(
                vasp_cmd,
                auto_npar=auto_npar,
                ediffg=self.get("ediffg"),
                half_kpts_first_relax=self.get("half_kpts_first_relax",
                                               HALF_KPOINTS_FIRST_RELAX))
        elif job_type == "metagga_opt_run":
            jobs = VaspJob.metagga_opt_run(vasp_cmd,
                                           auto_npar=auto_npar,
                                           ediffg=self.get("ediffg"),
                                           half_kpts_first_relax=self.get(
                                               "half_kpts_first_relax",
                                               HALF_KPOINTS_FIRST_RELAX))

        elif job_type == "full_opt_run":
            jobs = VaspJob.full_opt_run(vasp_cmd,
                                        auto_npar=auto_npar,
                                        ediffg=self.get("ediffg"),
                                        max_steps=9,
                                        half_kpts_first_relax=self.get(
                                            "half_kpts_first_relax",
                                            HALF_KPOINTS_FIRST_RELAX))
        elif job_type == "neb":
            # TODO: @shyuep @HanmeiTang This means that NEB can only be run (i) in reservation mode
            # and (ii) when the queueadapter parameter is overridden and (iii) the queue adapter
            # has a convention for nnodes (with that name). Can't the number of nodes be made a
            # parameter that the user sets differently? e.g., fw_spec["neb_nnodes"] must be set
            # when setting job_type=NEB? Then someone can use this feature in non-reservation
            # mode and without this complication. -computron
            nnodes = int(fw_spec["_queueadapter"]["nnodes"])

            # TODO: @shyuep @HanmeiTang - I am not sure what the code below is doing. It looks like
            # it is trying to override the number of processors. But I tried running the code
            # below after setting "vasp_cmd = 'mpirun -n 16 vasp'" and the code fails.
            # (i) Is this expecting an array vasp_cmd rather than String? If so, that's opposite to
            # the rest of this task's convention and documentation
            # (ii) can we get rid of this hacking in the first place? e.g., allowing the user to
            # separately set the NEB_VASP_CMD as an env_variable and not rewriting the command
            # inside this.
            # -computron

            # Index the tag "-n" or "-np"
            index = [i for i, s in enumerate(vasp_cmd) if '-n' in s]
            ppn = int(vasp_cmd[index[0] + 1])
            vasp_cmd[index[0] + 1] = str(nnodes * ppn)

            # Do the same for gamma_vasp_cmd
            if gamma_vasp_cmd:
                index = [i for i, s in enumerate(gamma_vasp_cmd) if '-n' in s]
                ppn = int(gamma_vasp_cmd[index[0] + 1])
                gamma_vasp_cmd[index[0] + 1] = str(nnodes * ppn)

            jobs = [
                VaspNEBJob(vasp_cmd,
                           final=False,
                           auto_npar=auto_npar,
                           gamma_vasp_cmd=gamma_vasp_cmd)
            ]
        else:
            raise ValueError("Unsupported job type: {}".format(job_type))

        # construct handlers

        handler_group = self.get("handler_group", "default")
        if isinstance(handler_group, str):
            handlers = handler_groups[handler_group]
        else:
            handlers = handler_group

        if self.get("max_force_threshold"):
            handlers.append(
                MaxForceErrorHandler(
                    max_force_threshold=self["max_force_threshold"]))

        if self.get("wall_time"):
            handlers.append(WalltimeHandler(wall_time=self["wall_time"]))

        if job_type == "neb":
            validators = [
            ]  # CINEB vasprun.xml sometimes incomplete, file structure different
        else:
            validators = [VasprunXMLValidator(), VaspFilesValidator()]

        c = Custodian(handlers,
                      jobs,
                      validators=validators,
                      max_errors=max_errors,
                      scratch_dir=scratch_dir,
                      gzipped_output=gzip_output)

        c.run()

        if os.path.exists(zpath("custodian.json")):
            stored_custodian_data = {
                "custodian": loadfn(zpath("custodian.json"))
            }
            return FWAction(stored_data=stored_custodian_data)
コード例 #10
0
ファイル: test_jobs.py プロジェクト: shyamd/custodian
 def test_to_from_dict(self):
     v = VaspNEBJob("hello")
     v2 = VaspNEBJob.from_dict(v.as_dict())
     self.assertEqual(type(v2), type(v))
     self.assertEqual(v2.vasp_cmd, "hello")