From ce3001259b2ce61f77725c93bcd2440402b3e50e Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Thu, 7 Dec 2023 18:50:34 -0800 Subject: [PATCH 01/22] Add KPOINTS_OPT reading functionality to Vasprun Allow reading in KPOINTS_OPT data from vasprun.xml. Also get band structure from KPOINTS_OPT data, if requested. (May change that to the default behaviour.) I've tested it separately, but still need to test integration into the pymatgen code, once I get a working development build of pymatgen. --- pymatgen/io/vasp/outputs.py | 248 ++++++++++++++++++++++-------------- 1 file changed, 150 insertions(+), 98 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index a95fd467f30..64efbcde6d6 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -307,104 +307,137 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.dielectric_data = {} self.other_dielectric = {} self.incar = {} + # Initialise kpoints_opt attributes + self.eigenvalues_kpoints_opt = self.projected_eigenvalues_kpoints_opt = self.projected_magnetism_kpoints_opt = None + self.kpoints_opt = self.actual_kpoints_opt = self.actual_kpoints_weights_opt = None + self.tdos_opt = self.idos_opt = self.pdos_opt = None + self.efermi_opt = self.dos_has_errors_opt = None + ionic_steps = [] md_data = [] parsed_header = False + in_kpoints_opt = False try: - for _, elem in ET.iterparse(stream): + for event, elem in ET.iterparse(stream, events=["start","end"]): tag = elem.tag - if not parsed_header: - if tag == "generator": - self.generator = self._parse_params(elem) - elif tag == "incar": - self.incar = self._parse_params(elem) - elif tag == "kpoints": - if not hasattr(self, "kpoints"): - self.kpoints, self.actual_kpoints, self.actual_kpoints_weights = self._parse_kpoints(elem) - elif tag == "parameters": - self.parameters = self._parse_params(elem) - elif tag == "structure" and elem.attrib.get("name") == "initialpos": - self.initial_structure = self._parse_structure(elem) - self.final_structure = self.initial_structure - elif tag == "atominfo": - self.atomic_symbols, self.potcar_symbols = self._parse_atominfo(elem) - self.potcar_spec = [ - {"titel": p, "hash": None, "summary_stats": {}} for p in self.potcar_symbols - ] - if tag == "calculation": - parsed_header = True - if not self.parameters.get("LCHIMAG", False): - ionic_steps.append(self._parse_calculation(elem)) - else: - ionic_steps.extend(self._parse_chemical_shielding_calculation(elem)) - elif parse_dos and tag == "dos": - try: - self.tdos, self.idos, self.pdos = self._parse_dos(elem) - self.efermi = self.tdos.efermi - self.dos_has_errors = False - except Exception: - self.dos_has_errors = True - elif parse_eigen and tag == "eigenvalues": - self.eigenvalues = self._parse_eigen(elem) - elif parse_projected_eigen and tag == "projected": - self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) - elif tag == "dielectricfunction": - if ( - "comment" not in elem.attrib - or elem.attrib["comment"] - == "INVERSE MACROSCOPIC DIELECTRIC TENSOR (including local field effects in RPA (Hartree))" - ): - if "density" not in self.dielectric_data: - self.dielectric_data["density"] = self._parse_diel(elem) - elif "velocity" not in self.dielectric_data: - # "velocity-velocity" is also named - # "current-current" in OUTCAR - self.dielectric_data["velocity"] = self._parse_diel(elem) + if event == "start": + # The start event tells us when we have entered blocks + if tag == "calculation": + parsed_header = True + elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": + in_kpoints_opt = True + else: # event == "end": + # The end event happens when we have read a block, so have + # its data. + if not parsed_header: + if tag == "generator": + self.generator = self._parse_params(elem) + elif tag == "incar": + self.incar = self._parse_params(elem) + elif tag == "kpoints": + if not hasattr(self, "kpoints"): + self.kpoints, self.actual_kpoints, self.actual_kpoints_weights = self._parse_kpoints(elem) + elif tag == "parameters": + self.parameters = self._parse_params(elem) + elif tag == "structure" and elem.attrib.get("name") == "initialpos": + self.initial_structure = self._parse_structure(elem) + self.final_structure = self.initial_structure + elif tag == "atominfo": + self.atomic_symbols, self.potcar_symbols = self._parse_atominfo(elem) + self.potcar_spec = [ + {"titel": p, "hash": None, "summary_stats": {}} for p in self.potcar_symbols + ] + if tag == "calculation": + parsed_header = True + if not self.parameters.get("LCHIMAG", False): + ionic_steps.append(self._parse_calculation(elem)) else: - raise NotImplementedError("This vasprun.xml has >2 unlabelled dielectric functions") - else: - comment = elem.attrib["comment"] - # VASP 6+ has labels for the density and current - # derived dielectric constants - if comment == "density-density": - self.dielectric_data["density"] = self._parse_diel(elem) - elif comment == "current-current": - self.dielectric_data["velocity"] = self._parse_diel(elem) + ionic_steps.extend(self._parse_chemical_shielding_calculation(elem)) + elif parse_dos and tag == "dos": + if elem.get("comment") == "kpoints_opt": + try: + self.tdos_opt, self.idos_opt, self.pdos_opt = self._parse_dos(elem) + self.efermi_opt = self.tdos_opt.efermi + self.dos_has_errors_opt = False + except Exception: + self.dos_has_errors_opt = True else: - self.other_dielectric[comment] = self._parse_diel(elem) - - elif tag == "varray" and elem.attrib.get("name") == "opticaltransitions": - self.optical_transition = np.array(_parse_vasp_array(elem)) - elif tag == "structure" and elem.attrib.get("name") == "finalpos": - self.final_structure = self._parse_structure(elem) - elif tag == "dynmat": - hessian, eigenvalues, eigenvectors = self._parse_dynmat(elem) - # n_atoms is not the total number of atoms, only those for which force constants were calculated - # https://github.com/materialsproject/pymatgen/issues/3084 - n_atoms = len(hessian) // 3 - hessian = np.array(hessian) - self.force_constants = np.zeros((n_atoms, n_atoms, 3, 3), dtype="double") - for ii in range(n_atoms): - for jj in range(n_atoms): - self.force_constants[ii, jj] = hessian[ii * 3 : (ii + 1) * 3, jj * 3 : (jj + 1) * 3] - phonon_eigenvectors = [] - for ev in eigenvectors: - phonon_eigenvectors.append(np.array(ev).reshape(n_atoms, 3)) - self.normalmode_eigenvals = np.array(eigenvalues) - self.normalmode_eigenvecs = np.array(phonon_eigenvectors) - elif self.incar.get("ML_LMLFF"): - if tag == "structure" and elem.attrib.get("name") is None: - md_data.append({}) - md_data[-1]["structure"] = self._parse_structure(elem) - elif tag == "varray" and elem.attrib.get("name") == "forces": - md_data[-1]["forces"] = _parse_vasp_array(elem) - elif tag == "varray" and elem.attrib.get("name") == "stress": - md_data[-1]["stress"] = _parse_vasp_array(elem) - elif tag == "energy": - d = {i.attrib["name"]: float(i.text) for i in elem.findall("i")} - if "kinetic" in d: - md_data[-1]["energy"] = {i.attrib["name"]: float(i.text) for i in elem.findall("i")} + try: + self.tdos, self.idos, self.pdos = self._parse_dos(elem) + self.efermi = self.tdos.efermi + self.dos_has_errors = False + except Exception: + self.dos_has_errors = True + elif parse_eigen and tag == "eigenvalues" and not in_kpoints_opt: + self.eigenvalues = self._parse_eigen(elem) + elif parse_projected_eigen and tag == "projected" and not in_kpoints_opt: + self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) + elif (tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt"): + in_kpoints_opt = False + if parse_eigen: + # projected_kpoints_opt includes occupation information where eigenvalues_kpoints_opt doesn't. + self.eigenvalues_kpoints_opt = self._parse_eigen(elem.find("eigenvalues")) + if tag == "eigenvalues_kpoints_opt": + self.kpoints_opt, self.actual_kpoints_opt, self.actual_kpoints_weights_opt = self._parse_kpoints(elem.find("kpoints")) + elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) + self.projected_eigenvalues_kpoints_opt, self.projected_magnetism_kpoints_opt = self._parse_projected_eigen(elem) + elif tag == "dielectricfunction": + if ( + "comment" not in elem.attrib + or elem.attrib["comment"] + == "INVERSE MACROSCOPIC DIELECTRIC TENSOR (including local field effects in RPA (Hartree))" + ): + if "density" not in self.dielectric_data: + self.dielectric_data["density"] = self._parse_diel(elem) + elif "velocity" not in self.dielectric_data: + # "velocity-velocity" is also named + # "current-current" in OUTCAR + self.dielectric_data["velocity"] = self._parse_diel(elem) + else: + raise NotImplementedError("This vasprun.xml has >2 unlabelled dielectric functions") + else: + comment = elem.attrib["comment"] + # VASP 6+ has labels for the density and current + # derived dielectric constants + if comment == "density-density": + self.dielectric_data["density"] = self._parse_diel(elem) + elif comment == "current-current": + self.dielectric_data["velocity"] = self._parse_diel(elem) + else: + self.other_dielectric[comment] = self._parse_diel(elem) + + elif tag == "varray" and elem.attrib.get("name") == "opticaltransitions": + self.optical_transition = np.array(_parse_vasp_array(elem)) + elif tag == "structure" and elem.attrib.get("name") == "finalpos": + self.final_structure = self._parse_structure(elem) + elif tag == "dynmat": + hessian, eigenvalues, eigenvectors = self._parse_dynmat(elem) + # n_atoms is not the total number of atoms, only those for which force constants were calculated + # https://github.com/materialsproject/pymatgen/issues/3084 + n_atoms = len(hessian) // 3 + hessian = np.array(hessian) + self.force_constants = np.zeros((n_atoms, n_atoms, 3, 3), dtype="double") + for ii in range(n_atoms): + for jj in range(n_atoms): + self.force_constants[ii, jj] = hessian[ii * 3 : (ii + 1) * 3, jj * 3 : (jj + 1) * 3] + phonon_eigenvectors = [] + for ev in eigenvectors: + phonon_eigenvectors.append(np.array(ev).reshape(n_atoms, 3)) + self.normalmode_eigenvals = np.array(eigenvalues) + self.normalmode_eigenvecs = np.array(phonon_eigenvectors) + elif self.incar.get("ML_LMLFF"): + if tag == "structure" and elem.attrib.get("name") is None: + md_data.append({}) + md_data[-1]["structure"] = self._parse_structure(elem) + elif tag == "varray" and elem.attrib.get("name") == "forces": + md_data[-1]["forces"] = _parse_vasp_array(elem) + elif tag == "varray" and elem.attrib.get("name") == "stress": + md_data[-1]["stress"] = _parse_vasp_array(elem) + elif tag == "energy": + d = {i.attrib["name"]: float(i.text) for i in elem.findall("i")} + if "kinetic" in d: + md_data[-1]["energy"] = {i.attrib["name"]: float(i.text) for i in elem.findall("i")} except ET.ParseError as exc: if self.exception_on_bad_xml: raise exc @@ -759,6 +792,7 @@ def get_band_structure( efermi: float | Literal["smart"] | None = None, line_mode: bool = False, force_hybrid_mode: bool = False, + use_kpoints_opt: bool = False, ) -> BandStructureSymmLine | BandStructure: """Get the band structure as a BandStructure object. @@ -767,7 +801,7 @@ def get_band_structure( the band structure is generated. If none is provided, the code will try to intelligently determine the appropriate KPOINTS file by substituting the - filename of the vasprun.xml with KPOINTS. + filename of the vasprun.xml with KPOINTS (or KPOINTS_OPT). The latter is the default behavior. efermi: The Fermi energy associated with the bandstructure, in eV. By default (None), uses the value reported by VASP in vasprun.xml. To @@ -781,6 +815,8 @@ def get_band_structure( a run along symmetry lines. (Default: False) force_hybrid_mode: Makes it possible to read in self-consistent band structure calculations for every type of functional. (Default: False) + use_kpoints_opt: Uses data generated by KPOINTS_OPT instead of + KPOINTS. (Default: False) Returns: a BandStructure object (or more specifically a @@ -794,8 +830,13 @@ def get_band_structure( functionals). The explicit KPOINTS file needs to have data on the kpoint label as commentary. """ + if use_kpoints_opt and (self.actual_kpoints_opt is None or self.eigenvalues_kpoints_opt is None): + raise VaspParseError("No KPOINTS_OPT data, but use_kpoints_opt was requested.") if not kpoints_filename: - kpoints_filename = zpath(os.path.join(os.path.dirname(self.filename), "KPOINTS")) + if use_kpoints_opt: + kpoints_filename = zpath(os.path.join(os.path.dirname(self.filename), "KPOINTS_OPT")) + else: + kpoints_filename = zpath(os.path.join(os.path.dirname(self.filename), "KPOINTS")) if kpoints_filename and not os.path.exists(kpoints_filename) and line_mode is True: raise VaspParseError("KPOINTS not found but needed to obtain band structure along symmetry lines.") @@ -811,19 +852,29 @@ def get_band_structure( kpoint_file = Kpoints.from_file(kpoints_filename) lattice_new = Lattice(self.final_structure.lattice.reciprocal_lattice.matrix) - kpoints = [np.array(kpt) for kpt in self.actual_kpoints] + if use_kpoints_opt: + kpoints = [np.array(kpt) for kpt in self.actual_kpoints_opt] + else: + kpoints = [np.array(kpt) for kpt in self.actual_kpoints] p_eigenvals: defaultdict[Spin, list] = defaultdict(list) eigenvals: defaultdict[Spin, list] = defaultdict(list) nkpts = len(kpoints) - - for spin, v in self.eigenvalues.items(): + + if use_kpoints_opt: + eigenvalues = self.eigenvalues_kpoints_opt + projected_eigenvalues = self.projected_eigenvalues_kpoints_opt + else: + eigenvalues = self.eigenvalues + projected_eigenvalues = self.projected_eigenvalues + + for spin, v in eigenvalues.items(): v = np.swapaxes(v, 0, 1) eigenvals[spin] = v[:, :, 0] - if self.projected_eigenvalues: - peigen = self.projected_eigenvalues[spin] + if projected_eigenvalues: + peigen = projected_eigenvalues[spin] # Original axes for self.projected_eigenvalues are kpoints, # band, ion, orb. # For BS input, we need band, kpoints, orb, ion. @@ -838,6 +889,7 @@ def get_band_structure( # check if we have an hybrid band structure computation # for this we look at the presence of the LHFCALC tag + # (but hybrid mode is redundant if using kpoints_opt) hybrid_band = False if self.parameters.get("LHFCALC", False) or 0.0 in self.actual_kpoints_weights: hybrid_band = True @@ -847,7 +899,7 @@ def get_band_structure( if line_mode: labels_dict = {} - if hybrid_band or force_hybrid_mode: + if (hybrid_band or force_hybrid_mode) and not use_kpoints_opt: start_bs_index = 0 for i in range(len(self.actual_kpoints)): if self.actual_kpoints_weights[i] == 0.0: From 909b98b7fd1a8e1b3010a31c1a830f29ad16c11f Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Fri, 8 Dec 2023 16:16:25 -0800 Subject: [PATCH 02/22] Update docstrings, fix names in Vasprun projected_magnetism_kpoints_opt -> projected_magnetisation_kpoints_opt --- pymatgen/io/vasp/outputs.py | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index 64efbcde6d6..b5e520dc209 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -192,6 +192,17 @@ class Vasprun(MSONable): 0.04166667, ....]. atomic_symbols (list): List of atomic symbols, e.g., ["Li", "Fe", "Fe", "P", "P", "P"]. potcar_symbols (list): List of POTCAR symbols. e.g., ["PAW_PBE Li 17Jan2003", "PAW_PBE Fe 06Sep2000", ..]. + tdos_opt (Dos): As tdos but obtained from KPOINTS_OPT. + idos_opt (Dos): As idos but obtained from KPOINTS_OPT. + pdos_opt (list): List of list of PDos objects. As pdos but obtained from KPOINTS_OPT. + efermi_opt (float): As efermi but obtained from DOS calculated by KPOINTS_OPT. + eigenvalues_kpoints_opt (dict): As eigenvalues but obtained from KPOINTS_OPT. + projected_eigenvalues_kpoints_opt (dict): As projected_eigenvalues but obtained from KPOINTS_OPT. + projected_magnetisation_kpoints_opt (numpy.ndarray): As projected_magnetisation but obtained from KPOINTS_OPT. + kpoints_opt (Kpoints): As kpoints but obtained from KPOINTS_OPT. + actual_kpoints_opt (list): As actual_kpoints but obtained from KPOINTS_OPT. + actual_kpoints_weights_opt (list): As actual_kpoints_weights but obtained from KPOINTS_OPT. + Author: Shyue Ping Ong """ @@ -308,7 +319,7 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.other_dielectric = {} self.incar = {} # Initialise kpoints_opt attributes - self.eigenvalues_kpoints_opt = self.projected_eigenvalues_kpoints_opt = self.projected_magnetism_kpoints_opt = None + self.eigenvalues_kpoints_opt = self.projected_eigenvalues_kpoints_opt = self.projected_magnetisation_kpoints_opt = None self.kpoints_opt = self.actual_kpoints_opt = self.actual_kpoints_weights_opt = None self.tdos_opt = self.idos_opt = self.pdos_opt = None self.efermi_opt = self.dos_has_errors_opt = None @@ -381,7 +392,7 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): if tag == "eigenvalues_kpoints_opt": self.kpoints_opt, self.actual_kpoints_opt, self.actual_kpoints_weights_opt = self._parse_kpoints(elem.find("kpoints")) elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) - self.projected_eigenvalues_kpoints_opt, self.projected_magnetism_kpoints_opt = self._parse_projected_eigen(elem) + self.projected_eigenvalues_kpoints_opt, self.projected_magnetisation_kpoints_opt = self._parse_projected_eigen(elem) elif tag == "dielectricfunction": if ( "comment" not in elem.attrib From d3c136bf2d69a84147c76628a9428663c3a7fe17 Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Fri, 8 Dec 2023 16:18:38 -0800 Subject: [PATCH 03/22] Test case for Vasprun kpoints_opt From issue #3455 , dataset supplied by Jeff-oakly https://github.com/materialsproject/pymatgen/issues/3455#issuecomment-1794008522 Although, for some reason, even though LORBIT = 11, vasprun.xml doesn't have projected eigenvalues for kpoints_opt. Wierd. --- tests/files/si_two_bandstructures/KPOINTS | 4 +++ tests/files/si_two_bandstructures/KPOINTS_OPT | 34 ++++++++++++++++++ .../si_two_bandstructures/vasprun.xml.gz | Bin 0 -> 420264 bytes tests/io/vasp/test_outputs.py | 14 ++++++++ 4 files changed, 52 insertions(+) create mode 100644 tests/files/si_two_bandstructures/KPOINTS create mode 100644 tests/files/si_two_bandstructures/KPOINTS_OPT create mode 100644 tests/files/si_two_bandstructures/vasprun.xml.gz diff --git a/tests/files/si_two_bandstructures/KPOINTS b/tests/files/si_two_bandstructures/KPOINTS new file mode 100644 index 00000000000..b381769defe --- /dev/null +++ b/tests/files/si_two_bandstructures/KPOINTS @@ -0,0 +1,4 @@ +Fully automatic kpoint scheme +0 +Automatic +25 diff --git a/tests/files/si_two_bandstructures/KPOINTS_OPT b/tests/files/si_two_bandstructures/KPOINTS_OPT new file mode 100644 index 00000000000..6021a8fb4d0 --- /dev/null +++ b/tests/files/si_two_bandstructures/KPOINTS_OPT @@ -0,0 +1,34 @@ +Line_mode KPOINTS file +10 +Line_mode +Reciprocal +0.0 0.0 0.0 ! \Gamma +0.5 0.0 0.5 ! X + +0.5 0.0 0.5 ! X +0.5 0.25 0.75 ! W + +0.5 0.25 0.75 ! W +0.375 0.375 0.75 ! K + +0.375 0.375 0.75 ! K +0.0 0.0 0.0 ! \Gamma + +0.0 0.0 0.0 ! \Gamma +0.5 0.5 0.5 ! L + +0.5 0.5 0.5 ! L +0.625 0.25 0.625 ! U + +0.625 0.25 0.625 ! U +0.5 0.25 0.75 ! W + +0.5 0.25 0.75 ! W +0.5 0.5 0.5 ! L + +0.5 0.5 0.5 ! L +0.375 0.375 0.75 ! K + +0.625 0.25 0.625 ! U +0.5 0.0 0.5 ! 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a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 51781aafebe..65956e399f1 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -715,10 +715,10 @@ def test_kpoints_opt(self): assert len(vasp_run.actual_kpoints_opt) == 100 assert len(vasp_run.actual_kpoints_weights_opt) == 100 # Check the eigenvalues were read correctly. - assert vasp_run.eigenvalues[Spin.up].shape == (10, 24, 2) - assert vasp_run.eigenvalues_kpoints_opt[Spin.up].shape == (100, 24, 1) - assert vasp_run.eigenvalues[Spin.up][0,0,0] == approx(-6.1458) - assert vasp_run.eigenvalues_kpoints_opt[Spin.up][0,0,0] == approx(-6.1532) + assert vasp_run.eigenvalues[Spin.up].shape == (10, 128, 2) + assert vasp_run.eigenvalues_kpoints_opt[Spin.up].shape == (100, 128, 2) + assert vasp_run.eigenvalues[Spin.up][0,0,0] == approx(-6.1134) + assert vasp_run.eigenvalues_kpoints_opt[Spin.up][0,0,0] == approx(-6.1522) def test_kpoints_opt_band_structure(self): vasp_run = Vasprun(f"{TEST_FILES_DIR}/si_two_bandstructures/vasprun.xml.gz", parse_potcar_file=False) @@ -727,11 +727,11 @@ def test_kpoints_opt_band_structure(self): cbm = bs.get_cbm() vbm = bs.get_vbm() assert cbm["kpoint_index"] == [38], "wrong cbm kpoint index" - assert cbm["energy"] == approx(6.4391), "wrong cbm energy" - assert cbm["band_index"] == {Spin.up: [16], Spin.down: [16]}, "wrong cbm bands" + assert cbm["energy"] == approx(6.4363), "wrong cbm energy" + assert cbm["band_index"] == {Spin.up: [16]}, "wrong cbm bands" assert vbm["kpoint_index"] == [0, 39, 40] - assert vbm["energy"] == approx(5.7569), "wrong vbm energy" - assert vbm["band_index"] == {Spin.up: [13, 14, 15], Spin.down: [13, 14, 15]}, "wrong vbm bands" + assert vbm["energy"] == approx(5.7655), "wrong vbm energy" + assert vbm["band_index"] == {Spin.down: [13, 14, 15]}, "wrong vbm bands" assert vbm["kpoint"].label == "\\Gamma", "wrong vbm label" assert cbm["kpoint"].label is None, "wrong cbm label" From 50c833be2c0c92bd2b804607d93e35a150b0ea34 Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Fri, 8 Dec 2023 17:18:24 -0800 Subject: [PATCH 06/22] Unittest for projected kpoints_opt --- tests/io/vasp/test_outputs.py | 20 ++++++++++++++++---- 1 file changed, 16 insertions(+), 4 deletions(-) diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 65956e399f1..f167b0a68e8 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -707,7 +707,7 @@ def test_eigenvalue_band_properties_separate_spins(self): assert props[3][1] def test_kpoints_opt(self): - vasp_run = Vasprun(f"{TEST_FILES_DIR}/si_two_bandstructures/vasprun.xml.gz") + vasp_run = Vasprun(f"{TEST_FILES_DIR}/si_two_bandstructures/vasprun.xml.gz", parse_projected_eigen=True) # This calculation was run using KPOINTS_OPT # Check the k-points were read correctly. assert len(vasp_run.actual_kpoints) == 10 @@ -719,21 +719,33 @@ def test_kpoints_opt(self): assert vasp_run.eigenvalues_kpoints_opt[Spin.up].shape == (100, 128, 2) assert vasp_run.eigenvalues[Spin.up][0,0,0] == approx(-6.1134) assert vasp_run.eigenvalues_kpoints_opt[Spin.up][0,0,0] == approx(-6.1522) + # Check the projected eigenvalues were read correctly + assert vasp_run.projected_eigenvalues[Spin.up].shape == (10, 128, 8, 9) + assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up].shape == (100, 128, 8, 9) + assert vasp_run.projected_eigenvalues[Spin.up][0,1,0,0] == approx(0.0704) + assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up][0,1,0,0] == approx(0.0000) + # I think these zeroes are a bug in VASP (maybe my VASP) transcribing from PROCAR_OPT to vasprun.xml def test_kpoints_opt_band_structure(self): - vasp_run = Vasprun(f"{TEST_FILES_DIR}/si_two_bandstructures/vasprun.xml.gz", parse_potcar_file=False) + vasp_run = Vasprun(f"{TEST_FILES_DIR}/si_two_bandstructures/vasprun.xml.gz", parse_potcar_file=False, parse_projected_eigen=True) bs = vasp_run.get_band_structure(f"{TEST_FILES_DIR}/si_two_bandstructures/KPOINTS_OPT", use_kpoints_opt=True) assert isinstance(bs, BandStructureSymmLine) cbm = bs.get_cbm() vbm = bs.get_vbm() assert cbm["kpoint_index"] == [38], "wrong cbm kpoint index" assert cbm["energy"] == approx(6.4363), "wrong cbm energy" - assert cbm["band_index"] == {Spin.up: [16]}, "wrong cbm bands" + assert cbm["band_index"] == {Spin.up: [16], Spin.down: []}, "wrong cbm bands" + # Strangely, when I call with parse_projected_eigen, it gives empty Spin.down, + # but without parse_projected_eigen it does not give it. + # So at one point it called the empty key. assert vbm["kpoint_index"] == [0, 39, 40] assert vbm["energy"] == approx(5.7655), "wrong vbm energy" - assert vbm["band_index"] == {Spin.down: [13, 14, 15]}, "wrong vbm bands" + assert vbm["band_index"] == {Spin.down: [13, 14, 15], Spin.up: []}, "wrong vbm bands" assert vbm["kpoint"].label == "\\Gamma", "wrong vbm label" assert cbm["kpoint"].label is None, "wrong cbm label" + # Test projection + projected = bs.get_projection_on_elements() + assert projected[Spin.up][0][0]["Si"] == approx(0.2126) From 1bda574006290e96af7251bfb29ddb00717610c0 Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Fri, 8 Dec 2023 17:38:37 -0800 Subject: [PATCH 07/22] Change use_kpoints_opt to be default behaviour if KPOINTS_OPT data is present. --- pymatgen/io/vasp/outputs.py | 14 +++++++++----- tests/io/vasp/test_outputs.py | 2 +- 2 files changed, 10 insertions(+), 6 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index b5e520dc209..bc7cd1beb15 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -803,7 +803,7 @@ def get_band_structure( efermi: float | Literal["smart"] | None = None, line_mode: bool = False, force_hybrid_mode: bool = False, - use_kpoints_opt: bool = False, + ignore_kpoints_opt: bool = False, ) -> BandStructureSymmLine | BandStructure: """Get the band structure as a BandStructure object. @@ -826,8 +826,8 @@ def get_band_structure( a run along symmetry lines. (Default: False) force_hybrid_mode: Makes it possible to read in self-consistent band structure calculations for every type of functional. (Default: False) - use_kpoints_opt: Uses data generated by KPOINTS_OPT instead of - KPOINTS. (Default: False) + ignore_kpoints_opt: Normally, if KPOINTS_OPT data exists, it has + the band structure data. Set this flag to ignore it. (Default: False) Returns: a BandStructure object (or more specifically a @@ -840,9 +840,12 @@ def get_band_structure( file) (it's not possible to run a non-sc band structure with hybrid functionals). The explicit KPOINTS file needs to have data on the kpoint label as commentary. + + If VASP was rum with KPOINTS_OPT, it reads the data from that + file unless told otherwise. This overrides hybrid mode. """ - if use_kpoints_opt and (self.actual_kpoints_opt is None or self.eigenvalues_kpoints_opt is None): - raise VaspParseError("No KPOINTS_OPT data, but use_kpoints_opt was requested.") + use_kpoints_opt = (not ignore_kpoints_opt) and (hasattr(self, "actual_kpoints_opt") and self.actual_kpoints_opt is not None) + logger.debug("Detected KPOINTS_OPT data when getting band structure.") if not kpoints_filename: if use_kpoints_opt: kpoints_filename = zpath(os.path.join(os.path.dirname(self.filename), "KPOINTS_OPT")) @@ -1501,6 +1504,7 @@ class BSVasprun(Vasprun): bandstructures. All other properties like structures, parameters, etc. are ignored. """ + # TODO extend for KPOINTS_OPT def __init__( self, diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index f167b0a68e8..28a6b7d7de3 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -728,7 +728,7 @@ def test_kpoints_opt(self): def test_kpoints_opt_band_structure(self): vasp_run = Vasprun(f"{TEST_FILES_DIR}/si_two_bandstructures/vasprun.xml.gz", parse_potcar_file=False, parse_projected_eigen=True) - bs = vasp_run.get_band_structure(f"{TEST_FILES_DIR}/si_two_bandstructures/KPOINTS_OPT", use_kpoints_opt=True) + bs = vasp_run.get_band_structure(f"{TEST_FILES_DIR}/si_two_bandstructures/KPOINTS_OPT") assert isinstance(bs, BandStructureSymmLine) cbm = bs.get_cbm() vbm = bs.get_vbm() From 4ad198a4592f94d7daed2978491c766dd6ee27b2 Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Sun, 10 Dec 2023 14:45:29 -0800 Subject: [PATCH 08/22] Update borg test to account for new test documents --- tests/apps/borg/test_queen.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/apps/borg/test_queen.py b/tests/apps/borg/test_queen.py index 4eea03b7bb7..837057b00f5 100644 --- a/tests/apps/borg/test_queen.py +++ b/tests/apps/borg/test_queen.py @@ -22,7 +22,7 @@ def test_get_data(self): drone = VaspToComputedEntryDrone() self.queen = BorgQueen(drone, TEST_FILES_DIR, 1) data = self.queen.get_data() - assert len(data) == 15 + assert len(data) == 16 def test_load_data(self): drone = VaspToComputedEntryDrone() From 4ac674c246199915233e3541e9bbfe7815112ecc Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Sun, 10 Dec 2023 14:50:59 -0800 Subject: [PATCH 09/22] Rename new test file directory to kpoints_opt Prior name was not descriptive of the tests being done. --- .../{si_two_bandstructures => kpoints_opt}/KPOINTS | 0 .../KPOINTS_OPT | 0 .../vasprun.xml.gz | Bin tests/io/vasp/test_outputs.py | 6 +++--- 4 files changed, 3 insertions(+), 3 deletions(-) rename tests/files/{si_two_bandstructures => kpoints_opt}/KPOINTS (100%) rename tests/files/{si_two_bandstructures => kpoints_opt}/KPOINTS_OPT (100%) rename tests/files/{si_two_bandstructures => kpoints_opt}/vasprun.xml.gz (100%) diff --git a/tests/files/si_two_bandstructures/KPOINTS b/tests/files/kpoints_opt/KPOINTS similarity index 100% rename from tests/files/si_two_bandstructures/KPOINTS rename to tests/files/kpoints_opt/KPOINTS diff --git a/tests/files/si_two_bandstructures/KPOINTS_OPT b/tests/files/kpoints_opt/KPOINTS_OPT similarity index 100% rename from tests/files/si_two_bandstructures/KPOINTS_OPT rename to tests/files/kpoints_opt/KPOINTS_OPT diff --git a/tests/files/si_two_bandstructures/vasprun.xml.gz b/tests/files/kpoints_opt/vasprun.xml.gz similarity index 100% rename from tests/files/si_two_bandstructures/vasprun.xml.gz rename to tests/files/kpoints_opt/vasprun.xml.gz diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 28a6b7d7de3..0f8e8f8f8b1 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -707,7 +707,7 @@ def test_eigenvalue_band_properties_separate_spins(self): assert props[3][1] def test_kpoints_opt(self): - vasp_run = Vasprun(f"{TEST_FILES_DIR}/si_two_bandstructures/vasprun.xml.gz", parse_projected_eigen=True) + vasp_run = Vasprun(f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_projected_eigen=True) # This calculation was run using KPOINTS_OPT # Check the k-points were read correctly. assert len(vasp_run.actual_kpoints) == 10 @@ -727,8 +727,8 @@ def test_kpoints_opt(self): # I think these zeroes are a bug in VASP (maybe my VASP) transcribing from PROCAR_OPT to vasprun.xml def test_kpoints_opt_band_structure(self): - vasp_run = Vasprun(f"{TEST_FILES_DIR}/si_two_bandstructures/vasprun.xml.gz", parse_potcar_file=False, parse_projected_eigen=True) - bs = vasp_run.get_band_structure(f"{TEST_FILES_DIR}/si_two_bandstructures/KPOINTS_OPT") + vasp_run = Vasprun(f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_potcar_file=False, parse_projected_eigen=True) + bs = vasp_run.get_band_structure(f"{TEST_FILES_DIR}/kpoints_opt/KPOINTS_OPT") assert isinstance(bs, BandStructureSymmLine) cbm = bs.get_cbm() vbm = bs.get_vbm() From 400776c7db973183d71829dfe65f3460db23b351 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Sun, 10 Dec 2023 23:04:59 +0000 Subject: [PATCH 10/22] pre-commit auto-fixes --- pymatgen/io/vasp/outputs.py | 44 +++++++++++++++++++++++------------ tests/io/vasp/test_outputs.py | 17 +++++++------- 2 files changed, 38 insertions(+), 23 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index bc7cd1beb15..28cb9bd002c 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -202,7 +202,7 @@ class Vasprun(MSONable): kpoints_opt (Kpoints): As kpoints but obtained from KPOINTS_OPT. actual_kpoints_opt (list): As actual_kpoints but obtained from KPOINTS_OPT. actual_kpoints_weights_opt (list): As actual_kpoints_weights but obtained from KPOINTS_OPT. - + Author: Shyue Ping Ong """ @@ -319,18 +319,20 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.other_dielectric = {} self.incar = {} # Initialise kpoints_opt attributes - self.eigenvalues_kpoints_opt = self.projected_eigenvalues_kpoints_opt = self.projected_magnetisation_kpoints_opt = None + self.eigenvalues_kpoints_opt = ( + self.projected_eigenvalues_kpoints_opt + ) = self.projected_magnetisation_kpoints_opt = None self.kpoints_opt = self.actual_kpoints_opt = self.actual_kpoints_weights_opt = None self.tdos_opt = self.idos_opt = self.pdos_opt = None self.efermi_opt = self.dos_has_errors_opt = None - + ionic_steps = [] md_data = [] parsed_header = False in_kpoints_opt = False try: - for event, elem in ET.iterparse(stream, events=["start","end"]): + for event, elem in ET.iterparse(stream, events=["start", "end"]): tag = elem.tag if event == "start": # The start event tells us when we have entered blocks @@ -338,7 +340,7 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): parsed_header = True elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": in_kpoints_opt = True - else: # event == "end": + else: # event == "end": # The end event happens when we have read a block, so have # its data. if not parsed_header: @@ -348,7 +350,9 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.incar = self._parse_params(elem) elif tag == "kpoints": if not hasattr(self, "kpoints"): - self.kpoints, self.actual_kpoints, self.actual_kpoints_weights = self._parse_kpoints(elem) + self.kpoints, self.actual_kpoints, self.actual_kpoints_weights = self._parse_kpoints( + elem + ) elif tag == "parameters": self.parameters = self._parse_params(elem) elif tag == "structure" and elem.attrib.get("name") == "initialpos": @@ -384,15 +388,22 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.eigenvalues = self._parse_eigen(elem) elif parse_projected_eigen and tag == "projected" and not in_kpoints_opt: self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) - elif (tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt"): + elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": in_kpoints_opt = False if parse_eigen: # projected_kpoints_opt includes occupation information where eigenvalues_kpoints_opt doesn't. self.eigenvalues_kpoints_opt = self._parse_eigen(elem.find("eigenvalues")) if tag == "eigenvalues_kpoints_opt": - self.kpoints_opt, self.actual_kpoints_opt, self.actual_kpoints_weights_opt = self._parse_kpoints(elem.find("kpoints")) - elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) - self.projected_eigenvalues_kpoints_opt, self.projected_magnetisation_kpoints_opt = self._parse_projected_eigen(elem) + ( + self.kpoints_opt, + self.actual_kpoints_opt, + self.actual_kpoints_weights_opt, + ) = self._parse_kpoints(elem.find("kpoints")) + elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) + ( + self.projected_eigenvalues_kpoints_opt, + self.projected_magnetisation_kpoints_opt, + ) = self._parse_projected_eigen(elem) elif tag == "dielectricfunction": if ( "comment" not in elem.attrib @@ -417,7 +428,7 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.dielectric_data["velocity"] = self._parse_diel(elem) else: self.other_dielectric[comment] = self._parse_diel(elem) - + elif tag == "varray" and elem.attrib.get("name") == "opticaltransitions": self.optical_transition = np.array(_parse_vasp_array(elem)) elif tag == "structure" and elem.attrib.get("name") == "finalpos": @@ -840,11 +851,13 @@ def get_band_structure( file) (it's not possible to run a non-sc band structure with hybrid functionals). The explicit KPOINTS file needs to have data on the kpoint label as commentary. - + If VASP was rum with KPOINTS_OPT, it reads the data from that file unless told otherwise. This overrides hybrid mode. """ - use_kpoints_opt = (not ignore_kpoints_opt) and (hasattr(self, "actual_kpoints_opt") and self.actual_kpoints_opt is not None) + use_kpoints_opt = (not ignore_kpoints_opt) and ( + hasattr(self, "actual_kpoints_opt") and self.actual_kpoints_opt is not None + ) logger.debug("Detected KPOINTS_OPT data when getting band structure.") if not kpoints_filename: if use_kpoints_opt: @@ -875,14 +888,14 @@ def get_band_structure( eigenvals: defaultdict[Spin, list] = defaultdict(list) nkpts = len(kpoints) - + if use_kpoints_opt: eigenvalues = self.eigenvalues_kpoints_opt projected_eigenvalues = self.projected_eigenvalues_kpoints_opt else: eigenvalues = self.eigenvalues projected_eigenvalues = self.projected_eigenvalues - + for spin, v in eigenvalues.items(): v = np.swapaxes(v, 0, 1) eigenvals[spin] = v[:, :, 0] @@ -1504,6 +1517,7 @@ class BSVasprun(Vasprun): bandstructures. All other properties like structures, parameters, etc. are ignored. """ + # TODO extend for KPOINTS_OPT def __init__( diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 0f8e8f8f8b1..91377025544 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -705,7 +705,7 @@ def test_eigenvalue_band_properties_separate_spins(self): assert props2[0] == approx(np.min(props[1]) - np.max(props[2]), abs=1e-4) assert props[3][0] assert props[3][1] - + def test_kpoints_opt(self): vasp_run = Vasprun(f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_projected_eigen=True) # This calculation was run using KPOINTS_OPT @@ -717,17 +717,19 @@ def test_kpoints_opt(self): # Check the eigenvalues were read correctly. assert vasp_run.eigenvalues[Spin.up].shape == (10, 128, 2) assert vasp_run.eigenvalues_kpoints_opt[Spin.up].shape == (100, 128, 2) - assert vasp_run.eigenvalues[Spin.up][0,0,0] == approx(-6.1134) - assert vasp_run.eigenvalues_kpoints_opt[Spin.up][0,0,0] == approx(-6.1522) + assert vasp_run.eigenvalues[Spin.up][0, 0, 0] == approx(-6.1134) + assert vasp_run.eigenvalues_kpoints_opt[Spin.up][0, 0, 0] == approx(-6.1522) # Check the projected eigenvalues were read correctly assert vasp_run.projected_eigenvalues[Spin.up].shape == (10, 128, 8, 9) assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up].shape == (100, 128, 8, 9) - assert vasp_run.projected_eigenvalues[Spin.up][0,1,0,0] == approx(0.0704) - assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up][0,1,0,0] == approx(0.0000) + assert vasp_run.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0704) + assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up][0, 1, 0, 0] == approx(0.0000) # I think these zeroes are a bug in VASP (maybe my VASP) transcribing from PROCAR_OPT to vasprun.xml - + def test_kpoints_opt_band_structure(self): - vasp_run = Vasprun(f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_potcar_file=False, parse_projected_eigen=True) + vasp_run = Vasprun( + f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_potcar_file=False, parse_projected_eigen=True + ) bs = vasp_run.get_band_structure(f"{TEST_FILES_DIR}/kpoints_opt/KPOINTS_OPT") assert isinstance(bs, BandStructureSymmLine) cbm = bs.get_cbm() @@ -746,7 +748,6 @@ def test_kpoints_opt_band_structure(self): # Test projection projected = bs.get_projection_on_elements() assert projected[Spin.up][0][0]["Si"] == approx(0.2126) - class TestOutcar(PymatgenTest): From 6575ba4e92d6b1af7b64490b859f537639178f1b Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Sun, 10 Dec 2023 15:18:43 -0800 Subject: [PATCH 11/22] Code linting from ruff (whitespace, line length) --- pymatgen/io/vasp/outputs.py | 46 +++++++++++++++++++++++------------ tests/io/vasp/test_outputs.py | 17 +++++++------ 2 files changed, 39 insertions(+), 24 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index bc7cd1beb15..6f8a5acd911 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -202,7 +202,7 @@ class Vasprun(MSONable): kpoints_opt (Kpoints): As kpoints but obtained from KPOINTS_OPT. actual_kpoints_opt (list): As actual_kpoints but obtained from KPOINTS_OPT. actual_kpoints_weights_opt (list): As actual_kpoints_weights but obtained from KPOINTS_OPT. - + Author: Shyue Ping Ong """ @@ -319,18 +319,19 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.other_dielectric = {} self.incar = {} # Initialise kpoints_opt attributes - self.eigenvalues_kpoints_opt = self.projected_eigenvalues_kpoints_opt = self.projected_magnetisation_kpoints_opt = None + self.eigenvalues_kpoints_opt = self.projected_eigenvalues_kpoints_opt = None + self.projected_magnetisation_kpoints_opt = None self.kpoints_opt = self.actual_kpoints_opt = self.actual_kpoints_weights_opt = None self.tdos_opt = self.idos_opt = self.pdos_opt = None self.efermi_opt = self.dos_has_errors_opt = None - + ionic_steps = [] md_data = [] parsed_header = False in_kpoints_opt = False try: - for event, elem in ET.iterparse(stream, events=["start","end"]): + for event, elem in ET.iterparse(stream, events=["start", "end"]): tag = elem.tag if event == "start": # The start event tells us when we have entered blocks @@ -338,7 +339,7 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): parsed_header = True elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": in_kpoints_opt = True - else: # event == "end": + else: # event == "end": # The end event happens when we have read a block, so have # its data. if not parsed_header: @@ -348,7 +349,9 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.incar = self._parse_params(elem) elif tag == "kpoints": if not hasattr(self, "kpoints"): - self.kpoints, self.actual_kpoints, self.actual_kpoints_weights = self._parse_kpoints(elem) + self.kpoints, self.actual_kpoints, self.actual_kpoints_weights = self._parse_kpoints( + elem + ) elif tag == "parameters": self.parameters = self._parse_params(elem) elif tag == "structure" and elem.attrib.get("name") == "initialpos": @@ -384,15 +387,23 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.eigenvalues = self._parse_eigen(elem) elif parse_projected_eigen and tag == "projected" and not in_kpoints_opt: self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) - elif (tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt"): + elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": in_kpoints_opt = False if parse_eigen: - # projected_kpoints_opt includes occupation information where eigenvalues_kpoints_opt doesn't. + # projected_kpoints_opt includes occupation information whereas + # eigenvalues_kpoints_opt doesn't. self.eigenvalues_kpoints_opt = self._parse_eigen(elem.find("eigenvalues")) if tag == "eigenvalues_kpoints_opt": - self.kpoints_opt, self.actual_kpoints_opt, self.actual_kpoints_weights_opt = self._parse_kpoints(elem.find("kpoints")) - elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) - self.projected_eigenvalues_kpoints_opt, self.projected_magnetisation_kpoints_opt = self._parse_projected_eigen(elem) + ( + self.kpoints_opt, + self.actual_kpoints_opt, + self.actual_kpoints_weights_opt, + ) = self._parse_kpoints(elem.find("kpoints")) + elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) + ( + self.projected_eigenvalues_kpoints_opt, + self.projected_magnetisation_kpoints_opt, + ) = self._parse_projected_eigen(elem) elif tag == "dielectricfunction": if ( "comment" not in elem.attrib @@ -417,7 +428,7 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.dielectric_data["velocity"] = self._parse_diel(elem) else: self.other_dielectric[comment] = self._parse_diel(elem) - + elif tag == "varray" and elem.attrib.get("name") == "opticaltransitions": self.optical_transition = np.array(_parse_vasp_array(elem)) elif tag == "structure" and elem.attrib.get("name") == "finalpos": @@ -840,11 +851,13 @@ def get_band_structure( file) (it's not possible to run a non-sc band structure with hybrid functionals). The explicit KPOINTS file needs to have data on the kpoint label as commentary. - + If VASP was rum with KPOINTS_OPT, it reads the data from that file unless told otherwise. This overrides hybrid mode. """ - use_kpoints_opt = (not ignore_kpoints_opt) and (hasattr(self, "actual_kpoints_opt") and self.actual_kpoints_opt is not None) + use_kpoints_opt = (not ignore_kpoints_opt) and ( + hasattr(self, "actual_kpoints_opt") and self.actual_kpoints_opt is not None + ) logger.debug("Detected KPOINTS_OPT data when getting band structure.") if not kpoints_filename: if use_kpoints_opt: @@ -875,14 +888,14 @@ def get_band_structure( eigenvals: defaultdict[Spin, list] = defaultdict(list) nkpts = len(kpoints) - + if use_kpoints_opt: eigenvalues = self.eigenvalues_kpoints_opt projected_eigenvalues = self.projected_eigenvalues_kpoints_opt else: eigenvalues = self.eigenvalues projected_eigenvalues = self.projected_eigenvalues - + for spin, v in eigenvalues.items(): v = np.swapaxes(v, 0, 1) eigenvals[spin] = v[:, :, 0] @@ -1504,6 +1517,7 @@ class BSVasprun(Vasprun): bandstructures. All other properties like structures, parameters, etc. are ignored. """ + # TODO extend for KPOINTS_OPT def __init__( diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 0f8e8f8f8b1..91377025544 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -705,7 +705,7 @@ def test_eigenvalue_band_properties_separate_spins(self): assert props2[0] == approx(np.min(props[1]) - np.max(props[2]), abs=1e-4) assert props[3][0] assert props[3][1] - + def test_kpoints_opt(self): vasp_run = Vasprun(f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_projected_eigen=True) # This calculation was run using KPOINTS_OPT @@ -717,17 +717,19 @@ def test_kpoints_opt(self): # Check the eigenvalues were read correctly. assert vasp_run.eigenvalues[Spin.up].shape == (10, 128, 2) assert vasp_run.eigenvalues_kpoints_opt[Spin.up].shape == (100, 128, 2) - assert vasp_run.eigenvalues[Spin.up][0,0,0] == approx(-6.1134) - assert vasp_run.eigenvalues_kpoints_opt[Spin.up][0,0,0] == approx(-6.1522) + assert vasp_run.eigenvalues[Spin.up][0, 0, 0] == approx(-6.1134) + assert vasp_run.eigenvalues_kpoints_opt[Spin.up][0, 0, 0] == approx(-6.1522) # Check the projected eigenvalues were read correctly assert vasp_run.projected_eigenvalues[Spin.up].shape == (10, 128, 8, 9) assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up].shape == (100, 128, 8, 9) - assert vasp_run.projected_eigenvalues[Spin.up][0,1,0,0] == approx(0.0704) - assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up][0,1,0,0] == approx(0.0000) + assert vasp_run.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0704) + assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up][0, 1, 0, 0] == approx(0.0000) # I think these zeroes are a bug in VASP (maybe my VASP) transcribing from PROCAR_OPT to vasprun.xml - + def test_kpoints_opt_band_structure(self): - vasp_run = Vasprun(f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_potcar_file=False, parse_projected_eigen=True) + vasp_run = Vasprun( + f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_potcar_file=False, parse_projected_eigen=True + ) bs = vasp_run.get_band_structure(f"{TEST_FILES_DIR}/kpoints_opt/KPOINTS_OPT") assert isinstance(bs, BandStructureSymmLine) cbm = bs.get_cbm() @@ -746,7 +748,6 @@ def test_kpoints_opt_band_structure(self): # Test projection projected = bs.get_projection_on_elements() assert projected[Spin.up][0][0]["Si"] == approx(0.2126) - class TestOutcar(PymatgenTest): From 58d2979872669895ad1b86b5321a42ee65d307c5 Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Sun, 10 Dec 2023 16:40:13 -0800 Subject: [PATCH 12/22] Support for KPOINTS_OPT in BSVasprun --- pymatgen/io/vasp/outputs.py | 91 +++++++++++++++++++++++------------ tests/io/vasp/test_outputs.py | 23 +++++++++ 2 files changed, 84 insertions(+), 30 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index 6f8a5acd911..2cd7379856c 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -1518,8 +1518,6 @@ class BSVasprun(Vasprun): etc. are ignored. """ - # TODO extend for KPOINTS_OPT - def __init__( self, filename: str, @@ -1556,36 +1554,69 @@ def __init__( with zopen(filename, "rt") as f: self.efermi = None parsed_header = False + in_kpoints_opt = False self.eigenvalues = self.projected_eigenvalues = None - for _, elem in ET.iterparse(f): + self.efermi_opt = None + self.eigenvalues_kpoints_opt = None + self.projected_eigenvalues_kpoints_opt = None + for event, elem in ET.iterparse(f, events=["start", "end"]): tag = elem.tag - if not parsed_header: - if tag == "generator": - self.generator = self._parse_params(elem) - elif tag == "incar": - self.incar = self._parse_params(elem) - elif tag == "kpoints": - ( - self.kpoints, - self.actual_kpoints, - self.actual_kpoints_weights, - ) = self._parse_kpoints(elem) - elif tag == "parameters": - self.parameters = self._parse_params(elem) - elif tag == "atominfo": - self.atomic_symbols, self.potcar_symbols = self._parse_atominfo(elem) - self.potcar_spec = [ - {"titel": p, "hash": None, "summary_stats": {}} for p in self.potcar_symbols - ] - parsed_header = True - elif tag == "i" and elem.attrib.get("name") == "efermi": - self.efermi = float(elem.text) - elif tag == "eigenvalues": - self.eigenvalues = self._parse_eigen(elem) - elif parse_projected_eigen and tag == "projected": - self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) - elif tag == "structure" and elem.attrib.get("name") == "finalpos": - self.final_structure = self._parse_structure(elem) + if event == "start": + # The start event tells us when we have entered blocks + if ( + tag == "eigenvalues_kpoints_opt" + or tag == "projected_kpoints_opt" + or (tag == "dos" and elem.attrib.get("comment") == "kpoints_opt") + ): + in_kpoints_opt = True + else: # if event == "end": + if not parsed_header: + if tag == "generator": + self.generator = self._parse_params(elem) + elif tag == "incar": + self.incar = self._parse_params(elem) + elif tag == "kpoints": + ( + self.kpoints, + self.actual_kpoints, + self.actual_kpoints_weights, + ) = self._parse_kpoints(elem) + elif tag == "parameters": + self.parameters = self._parse_params(elem) + elif tag == "atominfo": + self.atomic_symbols, self.potcar_symbols = self._parse_atominfo(elem) + self.potcar_spec = [ + {"titel": p, "hash": None, "summary_stats": {}} for p in self.potcar_symbols + ] + parsed_header = True + elif tag == "i" and elem.attrib.get("name") == "efermi": + if in_kpoints_opt: + self.efermi_opt = float(elem.text) + in_kpoints_opt = False + else: + self.efermi = float(elem.text) + elif tag == "eigenvalues" and not in_kpoints_opt: + self.eigenvalues = self._parse_eigen(elem) + elif parse_projected_eigen and tag == "projected" and not in_kpoints_opt: + self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) + elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": + in_kpoints_opt = False + # projected_kpoints_opt includes occupation information whereas + # eigenvalues_kpoints_opt doesn't. + self.eigenvalues_kpoints_opt = self._parse_eigen(elem.find("eigenvalues")) + if tag == "eigenvalues_kpoints_opt": + ( + self.kpoints_opt, + self.actual_kpoints_opt, + self.actual_kpoints_weights_opt, + ) = self._parse_kpoints(elem.find("kpoints")) + elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) + ( + self.projected_eigenvalues_kpoints_opt, + self.projected_magnetisation_kpoints_opt, + ) = self._parse_projected_eigen(elem) + elif tag == "structure" and elem.attrib.get("name") == "finalpos": + self.final_structure = self._parse_structure(elem) self.vasp_version = self.generator["version"] if parse_potcar_file: self.update_potcar_spec(parse_potcar_file) diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 91377025544..cb297fb467a 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -1348,6 +1348,29 @@ def test_get_band_structure(self): d = vasprun.as_dict() assert "eigenvalues" in d["output"] + def test_kpoints_opt(self): + vasp_run = BSVasprun( + f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_potcar_file=False, parse_projected_eigen=True + ) + bs = vasp_run.get_band_structure(f"{TEST_FILES_DIR}/kpoints_opt/KPOINTS_OPT") + assert isinstance(bs, BandStructureSymmLine) + cbm = bs.get_cbm() + vbm = bs.get_vbm() + assert cbm["kpoint_index"] == [38], "wrong cbm kpoint index" + assert cbm["energy"] == approx(6.4363), "wrong cbm energy" + assert cbm["band_index"] == {Spin.up: [16], Spin.down: []}, "wrong cbm bands" + # Strangely, when I call with parse_projected_eigen, it gives empty Spin.down, + # but without parse_projected_eigen it does not give it. + # So at one point it called the empty key. + assert vbm["kpoint_index"] == [0, 39, 40] + assert vbm["energy"] == approx(5.7655), "wrong vbm energy" + assert vbm["band_index"] == {Spin.down: [13, 14, 15], Spin.up: []}, "wrong vbm bands" + assert vbm["kpoint"].label == "\\Gamma", "wrong vbm label" + assert cbm["kpoint"].label is None, "wrong cbm label" + # Test projection + projected = bs.get_projection_on_elements() + assert projected[Spin.up][0][0]["Si"] == approx(0.2126) + class TestOszicar(PymatgenTest): def test_init(self): From 33729882b8659eb5e0ac1ca7f8617f8e980d6376 Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Sun, 10 Dec 2023 17:12:00 -0800 Subject: [PATCH 13/22] as_dict now reads KPOINTS_OPT parameters in both Vasprun and BSVasprun --- pymatgen/io/vasp/outputs.py | 49 +++++++++++++++++++++++++++++++++++ tests/io/vasp/test_outputs.py | 8 ++++++ 2 files changed, 57 insertions(+) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index 2cd7379856c..e2349efb5f8 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -1201,6 +1201,17 @@ def as_dict(self): ] vin["kpoints"]["actual_points"] = actual_kpts vin["nkpoints"] = len(actual_kpts) + if hasattr(self, "actual_kpoints_opt") and self.actual_kpoints_opt: + vin["kpoints_opt"] = self.kpoints_opt.as_dict() + actual_kpts = [ + { + "abc": list(self.actual_kpoints_opt[i]), + "weight": self.actual_kpoints_weights_opt[i], + } + for i in range(len(self.actual_kpoints_opt)) + ] + vin["kpoints_opt"]["actual_kpoints"] = actual_kpts + vin["nkpoints_opt"] = len(actual_kpts) vin["potcar"] = [s.split(" ")[1] for s in self.potcar_symbols] vin["potcar_spec"] = self.potcar_spec vin["potcar_type"] = [s.split(" ")[0] for s in self.potcar_symbols] @@ -1241,6 +1252,21 @@ def as_dict(self): if self.projected_magnetisation is not None: vout["projected_magnetisation"] = self.projected_magnetisation.tolist() + if self.eigenvalues_kpoints_opt: + eigen = {str(spin): v.tolist() for spin, v in self.eigenvalues_kpoints_opt.items()} + vout["eigenvalues_kpoints_opt"] = eigen + # TODO implement kpoints_opt eigenvalue_band_proprties. + # (gap, cbm, vbm, is_direct) = self.eigenvalue_band_properties + # vout.update({"bandgap": gap, "cbm": cbm, "vbm": vbm, "is_gap_direct": is_direct}) + + if self.projected_eigenvalues_kpoints_opt: + vout["projected_eigenvalues_kpoints_opt"] = { + str(spin): v.tolist() for spin, v in self.projected_eigenvalues_kpoints_opt.items() + } + + if self.projected_magnetisation_kpoints_opt is not None: + vout["projected_magnetisation_kpoints_opt"] = self.projected_magnetisation_kpoints_opt.tolist() + vout["epsilon_static"] = self.epsilon_static vout["epsilon_static_wolfe"] = self.epsilon_static_wolfe vout["epsilon_ionic"] = self.epsilon_ionic @@ -1654,6 +1680,17 @@ def as_dict(self): for i in range(len(self.actual_kpoints)) ] vin["kpoints"]["actual_points"] = actual_kpts + if hasattr(self, "actual_kpoints_opt") and self.actual_kpoints_opt: + vin["kpoints_opt"] = self.kpoints_opt.as_dict() + actual_kpts = [ + { + "abc": list(self.actual_kpoints_opt[i]), + "weight": self.actual_kpoints_weights_opt[i], + } + for i in range(len(self.actual_kpoints_opt)) + ] + vin["kpoints_opt"]["actual_kpoints"] = actual_kpts + vin["nkpoints_opt"] = len(actual_kpts) vin["potcar"] = [s.split(" ")[1] for s in self.potcar_symbols] vin["potcar_spec"] = self.potcar_spec vin["potcar_type"] = [s.split(" ")[0] for s in self.potcar_symbols] @@ -1680,6 +1717,18 @@ def as_dict(self): peigen[kpoint_index][str(spin)] = vv vout["projected_eigenvalues"] = peigen + if self.eigenvalues_kpoints_opt: + eigen = {str(spin): v.tolist() for spin, v in self.eigenvalues_kpoints_opt.items()} + vout["eigenvalues_kpoints_opt"] = eigen + # TODO implement kpoints_opt eigenvalue_band_proprties. + # (gap, cbm, vbm, is_direct) = self.eigenvalue_band_properties + # vout.update({"bandgap": gap, "cbm": cbm, "vbm": vbm, "is_gap_direct": is_direct}) + + if self.projected_eigenvalues_kpoints_opt: + vout["projected_eigenvalues_kpoints_opt"] = { + str(spin): v.tolist() for spin, v in self.projected_eigenvalues_kpoints_opt.items() + } + dct["output"] = vout return jsanitize(dct, strict=True) diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index cb297fb467a..eb2dcf367dc 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -725,6 +725,11 @@ def test_kpoints_opt(self): assert vasp_run.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0704) assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up][0, 1, 0, 0] == approx(0.0000) # I think these zeroes are a bug in VASP (maybe my VASP) transcribing from PROCAR_OPT to vasprun.xml + # Test as_dict + d = vasp_run.as_dict() + assert d["input"]["nkpoints_opt"] == 100 + assert d["input"]["nkpoints"] == 10 + assert d["output"]["eigenvalues_kpoints_opt"]["1"][0][0][0] == approx(-6.1522) def test_kpoints_opt_band_structure(self): vasp_run = Vasprun( @@ -1370,6 +1375,9 @@ def test_kpoints_opt(self): # Test projection projected = bs.get_projection_on_elements() assert projected[Spin.up][0][0]["Si"] == approx(0.2126) + d = vasp_run.as_dict() + assert "eigenvalues" in d["output"] + assert "eigenvalues_kpoints_opt" in d["output"] class TestOszicar(PymatgenTest): From 73256ad62675678478349d4e967604a01271c2f8 Mon Sep 17 00:00:00 2001 From: Janosh Riebesell Date: Wed, 20 Dec 2023 09:45:16 -0800 Subject: [PATCH 14/22] tweak Vasprun Attributes: doc str improve test err message on bad vbm/cbm kpoint labels --- dev_scripts/regen_libxcfunc.py | 18 ++++----- pymatgen/io/vasp/outputs.py | 67 ++++++++++++++++++---------------- tests/apps/borg/test_queen.py | 3 -- tests/io/vasp/test_outputs.py | 16 ++++---- 4 files changed, 54 insertions(+), 50 deletions(-) diff --git a/dev_scripts/regen_libxcfunc.py b/dev_scripts/regen_libxcfunc.py index 83cdd37f4c2..723963b7b6b 100755 --- a/dev_scripts/regen_libxcfunc.py +++ b/dev_scripts/regen_libxcfunc.py @@ -45,28 +45,28 @@ def parse_section(section): return dct -def write_libxc_docs_json(xcfuncs, jpath): +def write_libxc_docs_json(xc_funcs, json_path): """Write json file with libxc metadata to path jpath.""" - xcfuncs = deepcopy(xcfuncs) + xc_funcs = deepcopy(xc_funcs) # Remove XC_FAMILY from Family and XC_ from Kind to make strings more human-readable. - for d in xcfuncs.values(): + for d in xc_funcs.values(): d["Family"] = d["Family"].replace("XC_FAMILY_", "", 1) d["Kind"] = d["Kind"].replace("XC_", "", 1) # Build lightweight version with a subset of keys. - for num, d in xcfuncs.items(): - xcfuncs[num] = {key: d[key] for key in ("Family", "Kind", "References")} + for num, d in xc_funcs.items(): + xc_funcs[num] = {key: d[key] for key in ("Family", "Kind", "References")} # Descriptions are optional for opt in ("Description 1", "Description 2"): desc = d.get(opt) if desc is not None: - xcfuncs[num][opt] = desc + xc_funcs[num][opt] = desc - with open(jpath, "w") as fh: - json.dump(xcfuncs, fh) + with open(json_path, "w") as fh: + json.dump(xc_funcs, fh) - return xcfuncs + return xc_funcs def main(): diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index 512d649c0f3..8ac4428c51d 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -162,7 +162,7 @@ class Vasprun(MSONable): To access a particular value, you need to do Vasprun.projected_eigenvalues[spin][kpoint index][band index][atom index][orbital_index]. The kpoint, band and atom indices are 0-based (unlike the 1-based indexing in VASP). - projected_magnetisation (numpy.ndarray): Final projected magnetization as a numpy array with the + projected_magnetisation (np.array): Final projected magnetization as a numpy array with the shape (nkpoints, nbands, natoms, norbitals, 3). Where the last axis is the contribution in the 3 Cartesian directions. This attribute is only set if spin-orbit coupling (LSORBIT = True) or non-collinear magnetism (LNONCOLLINEAR = True) is turned on in the INCAR. @@ -174,10 +174,10 @@ class Vasprun(MSONable): real_partyz,real_partxz]],[[imag_partxx,imag_partyy,imag_partzz,imag_partxy, imag_partyz, imag_partxz]]). nionic_steps (int): The total number of ionic steps. This number is always equal to the total number of steps in the actual run even if ionic_step_skip is used. - force_constants (numpy.ndarray): Force constants computed in phonon DFPT run(IBRION = 8). + force_constants (np.array): Force constants computed in phonon DFPT run(IBRION = 8). The data is a 4D numpy array of shape (natoms, natoms, 3, 3). - normalmode_eigenvals (numpy.ndarray): Normal mode frequencies. 1D numpy array of size 3*natoms. - normalmode_eigenvecs (numpy.ndarray): Normal mode eigen vectors. 3D numpy array of shape (3*natoms, natoms, 3). + normalmode_eigenvals (np.array): Normal mode frequencies. 1D numpy array of size 3*natoms. + normalmode_eigenvecs (np.array): Normal mode eigen vectors. 3D numpy array of shape (3*natoms, natoms, 3). md_data (list): Available only for ML MD runs, i.e., INCAR with ML_LMLFF = .TRUE. md_data is a list of dict with the following format: [{'energy': {'e_0_energy': -525.07195568, 'e_fr_energy': -525.07195568, 'e_wo_entrp': -525.07195568, 'kinetic': 3.17809233, 'lattice kinetic': 0.0, 'nosekinetic': 1.323e-5, @@ -192,17 +192,22 @@ class Vasprun(MSONable): 0.04166667, ....]. atomic_symbols (list): List of atomic symbols, e.g., ["Li", "Fe", "Fe", "P", "P", "P"]. potcar_symbols (list): List of POTCAR symbols. e.g., ["PAW_PBE Li 17Jan2003", "PAW_PBE Fe 06Sep2000", ..]. - tdos_opt (Dos): As tdos but obtained from KPOINTS_OPT. - idos_opt (Dos): As idos but obtained from KPOINTS_OPT. - pdos_opt (list): List of list of PDos objects. As pdos but obtained from KPOINTS_OPT. - efermi_opt (float): As efermi but obtained from DOS calculated by KPOINTS_OPT. - eigenvalues_kpoints_opt (dict): As eigenvalues but obtained from KPOINTS_OPT. - projected_eigenvalues_kpoints_opt (dict): As projected_eigenvalues but obtained from KPOINTS_OPT. - projected_magnetisation_kpoints_opt (numpy.ndarray): As projected_magnetisation but obtained from KPOINTS_OPT. - kpoints_opt (Kpoints): As kpoints but obtained from KPOINTS_OPT. - actual_kpoints_opt (list): As actual_kpoints but obtained from KPOINTS_OPT. - actual_kpoints_weights_opt (list): As actual_kpoints_weights but obtained from KPOINTS_OPT. - + tdos_opt (Dos): Same as tdos but obtained from KPOINTS_OPT (if present, else None). + idos_opt (Dos): Same as idos but obtained from KPOINTS_OPT (if present, else None). + pdos_opt (list): List of list of PDos objects. As pdos but obtained from KPOINTS_OPT (if present, + else None). + efermi_opt (float): Same as efermi but obtained from DOS calculated by KPOINTS_OPT. + eigenvalues_kpoints_opt (dict): Same as eigenvalues but obtained from KPOINTS_OPT (if present, + else None). + projected_eigenvalues_kpoints_opt (dict): Same as projected_eigenvalues but obtained from + KPOINTS_OPT (if present, else None). + projected_magnetisation_kpoints_opt (np.array): Same as projected_magnetisation but obtained + from KPOINTS_OPT (if present, else None). + kpoints_opt (Kpoints): Same as kpoints but obtained from KPOINTS_OPT (if present, else None). + actual_kpoints_opt (list): Same as actual_kpoints but obtained from KPOINTS_OPT (if present, + else None). + actual_kpoints_weights_opt (list): Same as actual_kpoints_weights but obtained from KPOINTS_OPT (if + present, else None). Author: Shyue Ping Ong """ @@ -1194,21 +1199,21 @@ def as_dict(self): } actual_kpts = [ { - "abc": list(self.actual_kpoints[i]), - "weight": self.actual_kpoints_weights[i], + "abc": list(self.actual_kpoints[idx]), + "weight": self.actual_kpoints_weights[idx], } - for i in range(len(self.actual_kpoints)) + for idx in range(len(self.actual_kpoints)) ] vin["kpoints"]["actual_points"] = actual_kpts vin["nkpoints"] = len(actual_kpts) - if hasattr(self, "actual_kpoints_opt") and self.actual_kpoints_opt: + if actual_kpoints_opt := getattr(self, "actual_kpoints_opt", None): vin["kpoints_opt"] = self.kpoints_opt.as_dict() actual_kpts = [ { - "abc": list(self.actual_kpoints_opt[i]), - "weight": self.actual_kpoints_weights_opt[i], + "abc": list(actual_kpoints_opt[idx]), + "weight": self.actual_kpoints_weights_opt[idx], } - for i in range(len(self.actual_kpoints_opt)) + for idx in range(len(actual_kpoints_opt)) ] vin["kpoints_opt"]["actual_kpoints"] = actual_kpts vin["nkpoints_opt"] = len(actual_kpts) @@ -1750,7 +1755,7 @@ class Outcar: chemical_shielding (dict): Chemical shielding on each ion as a dictionary with core and valence contributions. unsym_cs_tensor (list): Unsymmetrized chemical shielding tensor matrixes on each ion as a list. e.g., [[[sigma11, sigma12, sigma13], [sigma21, sigma22, sigma23], [sigma31, sigma32, sigma33]], ...] - cs_g0_contribution (numpy.ndarray): G=0 contribution to chemical shielding. 2D rank 3 matrix. + cs_g0_contribution (np.array): G=0 contribution to chemical shielding. 2D rank 3 matrix. cs_core_contribution (dict): Core contribution to chemical shielding. dict. e.g., {'Mg': -412.8, 'C': -200.5, 'O': -271.1} efg (tuple): Electric Field Gradient (EFG) tensor on each ion as a tuple of dict, e.g., @@ -1761,12 +1766,12 @@ class Outcar: is_stopped (bool): True if OUTCAR is from a stopped run (using STOPCAR, see VASP Manual). run_stats (dict): Various useful run stats as a dict including "System time (sec)", "Total CPU time used (sec)", "Elapsed time (sec)", "Maximum memory used (kb)", "Average memory used (kb)", "User time (sec)", "cores". - elastic_tensor (numpy.ndarray): Total elastic moduli (Kbar) is given in a 6x6 array matrix. - drift (numpy.ndarray): Total drift for each step in eV/Atom. + elastic_tensor (np.array): Total elastic moduli (Kbar) is given in a 6x6 array matrix. + drift (np.array): Total drift for each step in eV/Atom. ngf (tuple): Dimensions for the Augmentation grid. - sampling_radii (numpy.ndarray): Size of the sampling radii in VASP for the test charges for the electrostatic + sampling_radii (np.array): Size of the sampling radii in VASP for the test charges for the electrostatic potential at each atom. Total array size is the number of elements present in the calculation. - electrostatic_potential (numpy.ndarray): Average electrostatic potential at each atomic position in order of + electrostatic_potential (np.array): Average electrostatic potential at each atomic position in order of the atoms in POSCAR. final_energy_contribs (dict): Individual contributions to the total final energy as a dictionary. Include contributions from keys, e.g.: @@ -3723,7 +3728,7 @@ class Procar: data (dict): The PROCAR data of the form below. It should VASP uses 1-based indexing, but all indices are converted to 0-based here. { spin: nd.array accessed with (k-point index, band index, ion index, orbital index) } - weights (numpy.ndarray): The weights associated with each k-point as an nd.array of length nkpoints. + weights (np.array): The weights associated with each k-point as an nd.array of length nkpoints. phase_factors (dict): Phase factors, where present (e.g. LORBIT = 12). A dict of the form: { spin: complex nd.array accessed with (k-point index, band index, ion index, orbital index) } nbands (int): Number of bands. @@ -4357,10 +4362,10 @@ class Wavecar: nb (int): Number of bands per k-point. encut (float): Energy cutoff (used to define G_{cut}). efermi (float): Fermi energy. - a (numpy.ndarray): Primitive lattice vectors of the cell (e.g. a_1 = self.a[0, :]). - b (numpy.ndarray): Reciprocal lattice vectors of the cell (e.g. b_1 = self.b[0, :]). + a (np.array): Primitive lattice vectors of the cell (e.g. a_1 = self.a[0, :]). + b (np.array): Reciprocal lattice vectors of the cell (e.g. b_1 = self.b[0, :]). vol (float): The volume of the unit cell in real space. - kpoints (numpy.ndarray): The list of k-points read from the WAVECAR file. + kpoints (np.array): The list of k-points read from the WAVECAR file. band_energy (list): The list of band eigenenergies (and corresponding occupancies) for each kpoint, where the first index corresponds to the index of the k-point (e.g. self.band_energy[kp]). Gpoints (list): The list of generated G-points for each k-point (a double list), which diff --git a/tests/apps/borg/test_queen.py b/tests/apps/borg/test_queen.py index 837057b00f5..c6be59aa7be 100644 --- a/tests/apps/borg/test_queen.py +++ b/tests/apps/borg/test_queen.py @@ -11,9 +11,6 @@ __author__ = "Shyue Ping Ong" __copyright__ = "Copyright 2012, The Materials Project" -__version__ = "0.1" -__maintainer__ = "Shyue Ping Ong" -__email__ = "shyue@mit.edu" __date__ = "Mar 18, 2012" diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index eb2dcf367dc..015e35b0398 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -726,10 +726,10 @@ def test_kpoints_opt(self): assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up][0, 1, 0, 0] == approx(0.0000) # I think these zeroes are a bug in VASP (maybe my VASP) transcribing from PROCAR_OPT to vasprun.xml # Test as_dict - d = vasp_run.as_dict() - assert d["input"]["nkpoints_opt"] == 100 - assert d["input"]["nkpoints"] == 10 - assert d["output"]["eigenvalues_kpoints_opt"]["1"][0][0][0] == approx(-6.1522) + vasp_run_dct = vasp_run.as_dict() + assert vasp_run_dct["input"]["nkpoints_opt"] == 100 + assert vasp_run_dct["input"]["nkpoints"] == 10 + assert vasp_run_dct["output"]["eigenvalues_kpoints_opt"]["1"][0][0][0] == approx(-6.1522) def test_kpoints_opt_band_structure(self): vasp_run = Vasprun( @@ -742,14 +742,16 @@ def test_kpoints_opt_band_structure(self): assert cbm["kpoint_index"] == [38], "wrong cbm kpoint index" assert cbm["energy"] == approx(6.4363), "wrong cbm energy" assert cbm["band_index"] == {Spin.up: [16], Spin.down: []}, "wrong cbm bands" - # Strangely, when I call with parse_projected_eigen, it gives empty Spin.down, + # Strangely, when called with parse_projected_eigen, it gives empty Spin.down, # but without parse_projected_eigen it does not give it. # So at one point it called the empty key. assert vbm["kpoint_index"] == [0, 39, 40] assert vbm["energy"] == approx(5.7655), "wrong vbm energy" assert vbm["band_index"] == {Spin.down: [13, 14, 15], Spin.up: []}, "wrong vbm bands" - assert vbm["kpoint"].label == "\\Gamma", "wrong vbm label" - assert cbm["kpoint"].label is None, "wrong cbm label" + vbm_kp_label = vbm["kpoint"].label + assert vbm["kpoint"].label == "\\Gamma", f"Unpexpected {vbm_kp_label=}" + cmb_kp_label = cbm["kpoint"].label + assert cmb_kp_label is None, f"Unpexpected {cmb_kp_label=}" # Test projection projected = bs.get_projection_on_elements() assert projected[Spin.up][0][0]["Si"] == approx(0.2126) From a691a457ddca76f336ba739512c3f02874af1e96 Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Tue, 9 Jan 2024 18:00:24 -0800 Subject: [PATCH 15/22] Replace vasprun.xml for kpoints_opt with smaller file --- tests/files/kpoints_opt/vasprun.xml.gz | Bin 1797487 -> 788219 bytes tests/io/vasp/test_outputs.py | 51 +++++++++++++++---------- 2 files changed, 30 insertions(+), 21 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a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 015e35b0398..25f896e7d17 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -715,21 +715,21 @@ def test_kpoints_opt(self): assert len(vasp_run.actual_kpoints_opt) == 100 assert len(vasp_run.actual_kpoints_weights_opt) == 100 # Check the eigenvalues were read correctly. - assert vasp_run.eigenvalues[Spin.up].shape == (10, 128, 2) - assert vasp_run.eigenvalues_kpoints_opt[Spin.up].shape == (100, 128, 2) - assert vasp_run.eigenvalues[Spin.up][0, 0, 0] == approx(-6.1134) - assert vasp_run.eigenvalues_kpoints_opt[Spin.up][0, 0, 0] == approx(-6.1522) + assert vasp_run.eigenvalues[Spin.up].shape == (10, 24, 2) + assert vasp_run.eigenvalues_kpoints_opt[Spin.up].shape == (100, 24, 2) + assert vasp_run.eigenvalues[Spin.up][0, 0, 0] == approx(-6.1471) + assert vasp_run.eigenvalues_kpoints_opt[Spin.up][0, 0, 0] == approx(-6.1536) # Check the projected eigenvalues were read correctly - assert vasp_run.projected_eigenvalues[Spin.up].shape == (10, 128, 8, 9) - assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up].shape == (100, 128, 8, 9) - assert vasp_run.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0704) + assert vasp_run.projected_eigenvalues[Spin.up].shape == (10, 24, 8, 9) + assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up].shape == (100, 24, 8, 9) + assert vasp_run.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0492) assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up][0, 1, 0, 0] == approx(0.0000) # I think these zeroes are a bug in VASP (maybe my VASP) transcribing from PROCAR_OPT to vasprun.xml # Test as_dict vasp_run_dct = vasp_run.as_dict() assert vasp_run_dct["input"]["nkpoints_opt"] == 100 assert vasp_run_dct["input"]["nkpoints"] == 10 - assert vasp_run_dct["output"]["eigenvalues_kpoints_opt"]["1"][0][0][0] == approx(-6.1522) + assert vasp_run_dct["output"]["eigenvalues_kpoints_opt"]["1"][0][0][0] == approx(-6.1536) def test_kpoints_opt_band_structure(self): vasp_run = Vasprun( @@ -740,21 +740,24 @@ def test_kpoints_opt_band_structure(self): cbm = bs.get_cbm() vbm = bs.get_vbm() assert cbm["kpoint_index"] == [38], "wrong cbm kpoint index" - assert cbm["energy"] == approx(6.4363), "wrong cbm energy" - assert cbm["band_index"] == {Spin.up: [16], Spin.down: []}, "wrong cbm bands" - # Strangely, when called with parse_projected_eigen, it gives empty Spin.down, - # but without parse_projected_eigen it does not give it. - # So at one point it called the empty key. + assert cbm["energy"] == approx(6.4394), "wrong cbm energy" + assert cbm["band_index"] == {Spin.up: [16], Spin.down: [16]}, "wrong cbm bands" assert vbm["kpoint_index"] == [0, 39, 40] - assert vbm["energy"] == approx(5.7655), "wrong vbm energy" - assert vbm["band_index"] == {Spin.down: [13, 14, 15], Spin.up: []}, "wrong vbm bands" + assert vbm["energy"] == approx(5.7562), "wrong vbm energy" + assert vbm["band_index"] == {Spin.down: [13, 14, 15], Spin.up: [13, 14, 15]}, "wrong vbm bands" vbm_kp_label = vbm["kpoint"].label assert vbm["kpoint"].label == "\\Gamma", f"Unpexpected {vbm_kp_label=}" cmb_kp_label = cbm["kpoint"].label assert cmb_kp_label is None, f"Unpexpected {cmb_kp_label=}" # Test projection projected = bs.get_projection_on_elements() - assert projected[Spin.up][0][0]["Si"] == approx(0.2126) + assert np.isnan(projected[Spin.up][0][0]["Si"]) + # Due to some error in my VASP, the transcription of PROCAR_OPT into + # vasprun.xml is filled to the brim with errors in the projections. + # At some point we might get a healthier vasprun.xml, but the point here + # is to test the parser, not VASP. + projected = bs.get_projections_on_elements_and_orbitals({"Si": ["s"]}) + assert projected[Spin.up][0][58]["Si"]["s"] == -0.0271 class TestOutcar(PymatgenTest): @@ -1364,19 +1367,25 @@ def test_kpoints_opt(self): cbm = bs.get_cbm() vbm = bs.get_vbm() assert cbm["kpoint_index"] == [38], "wrong cbm kpoint index" - assert cbm["energy"] == approx(6.4363), "wrong cbm energy" - assert cbm["band_index"] == {Spin.up: [16], Spin.down: []}, "wrong cbm bands" + assert cbm["energy"] == approx(6.4394), "wrong cbm energy" + assert cbm["band_index"] == {Spin.up: [16], Spin.down: [16]}, "wrong cbm bands" # Strangely, when I call with parse_projected_eigen, it gives empty Spin.down, # but without parse_projected_eigen it does not give it. # So at one point it called the empty key. assert vbm["kpoint_index"] == [0, 39, 40] - assert vbm["energy"] == approx(5.7655), "wrong vbm energy" - assert vbm["band_index"] == {Spin.down: [13, 14, 15], Spin.up: []}, "wrong vbm bands" + assert vbm["energy"] == approx(5.7562), "wrong vbm energy" + assert vbm["band_index"] == {Spin.down: [13, 14, 15], Spin.up: [13, 14, 15]}, "wrong vbm bands" assert vbm["kpoint"].label == "\\Gamma", "wrong vbm label" assert cbm["kpoint"].label is None, "wrong cbm label" # Test projection projected = bs.get_projection_on_elements() - assert projected[Spin.up][0][0]["Si"] == approx(0.2126) + assert np.isnan(projected[Spin.up][0][0]["Si"]) + # Due to some error in my VASP, the transcription of PROCAR_OPT into + # vasprun.xml is filled to the brim with errors in the projections. + # At some point we might get a healthier vasprun.xml, but the point here + # is to test the parser, not VASP. + projected = bs.get_projections_on_elements_and_orbitals({"Si": ["s"]}) + assert projected[Spin.up][0][58]["Si"]["s"] == -0.0271 d = vasp_run.as_dict() assert "eigenvalues" in d["output"] assert "eigenvalues_kpoints_opt" in d["output"] From e12e73b809eb1760ff3687165959a1bebf1c62ac Mon Sep 17 00:00:00 2001 From: Janosh Riebesell Date: Wed, 10 Jan 2024 11:29:21 +0100 Subject: [PATCH 16/22] refactor get_band_structure tweak var names --- pymatgen/io/vasp/outputs.py | 62 ++++++++++++----------------- tests/files/kpoints_opt/KPOINTS_OPT | 1 - tests/io/vasp/test_outputs.py | 16 ++++---- 3 files changed, 33 insertions(+), 46 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index 8ac4428c51d..1d62a1b2739 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -860,16 +860,11 @@ def get_band_structure( If VASP was rum with KPOINTS_OPT, it reads the data from that file unless told otherwise. This overrides hybrid mode. """ - use_kpoints_opt = (not ignore_kpoints_opt) and ( - hasattr(self, "actual_kpoints_opt") and self.actual_kpoints_opt is not None - ) - logger.debug("Detected KPOINTS_OPT data when getting band structure.") + use_kpoints_opt = not ignore_kpoints_opt and (getattr(self, "actual_kpoints_opt", None) is not None) if not kpoints_filename: - if use_kpoints_opt: - kpoints_filename = zpath(os.path.join(os.path.dirname(self.filename), "KPOINTS_OPT")) - else: - kpoints_filename = zpath(os.path.join(os.path.dirname(self.filename), "KPOINTS")) - if kpoints_filename and not os.path.exists(kpoints_filename) and line_mode is True: + kpts_path = os.path.join(os.path.dirname(self.filename), "KPOINTS_OPT" if use_kpoints_opt else "KPOINTS") + kpoints_filename = zpath(kpts_path) + if kpoints_filename and not os.path.isfile(kpoints_filename) and line_mode is True: raise VaspParseError("KPOINTS not found but needed to obtain band structure along symmetry lines.") if efermi == "smart": @@ -889,35 +884,30 @@ def get_band_structure( else: kpoints = [np.array(kpt) for kpt in self.actual_kpoints] - p_eigenvals: defaultdict[Spin, list] = defaultdict(list) + p_eig_vals: defaultdict[Spin, list] = defaultdict(list) eigenvals: defaultdict[Spin, list] = defaultdict(list) nkpts = len(kpoints) if use_kpoints_opt: - eigenvalues = self.eigenvalues_kpoints_opt - projected_eigenvalues = self.projected_eigenvalues_kpoints_opt + eig_vals = self.eigenvalues_kpoints_opt + projected_eig_vals = self.projected_eigenvalues_kpoints_opt else: - eigenvalues = self.eigenvalues - projected_eigenvalues = self.projected_eigenvalues + eig_vals = self.eigenvalues + projected_eig_vals = self.projected_eigenvalues - for spin, v in eigenvalues.items(): - v = np.swapaxes(v, 0, 1) - eigenvals[spin] = v[:, :, 0] + for spin, val in eig_vals.items(): + val = np.swapaxes(val, 0, 1) + eigenvals[spin] = val[:, :, 0] - if projected_eigenvalues: - peigen = projected_eigenvalues[spin] - # Original axes for self.projected_eigenvalues are kpoints, - # band, ion, orb. + if projected_eig_vals: + proj_eig_vals = projected_eig_vals[spin] + # Original axes for self.projected_eigenvalues are kpoints, band, ion, orb. # For BS input, we need band, kpoints, orb, ion. - peigen = np.swapaxes(peigen, 0, 1) # Swap kpoint and band axes - peigen = np.swapaxes(peigen, 2, 3) # Swap ion and orb axes + proj_eig_vals = np.swapaxes(proj_eig_vals, 0, 1) # Swap kpoint and band axes + proj_eig_vals = np.swapaxes(proj_eig_vals, 2, 3) # Swap ion and orb axes - p_eigenvals[spin] = peigen - # for b in range(min_eigenvalues): - # p_eigenvals[spin].append( - # [{Orbital(orb): v for orb, v in enumerate(peigen[b, k])} - # for k in range(nkpts)]) + p_eig_vals[spin] = proj_eig_vals # check if we have an hybrid band structure computation # for this we look at the presence of the LHFCALC tag @@ -946,15 +936,13 @@ def get_band_structure( kpoints = kpoints[start_bs_index:nkpts] up_eigen = [eigenvals[Spin.up][i][start_bs_index:nkpts] for i in range(nbands)] if self.projected_eigenvalues: - p_eigenvals[Spin.up] = [p_eigenvals[Spin.up][i][start_bs_index:nkpts] for i in range(nbands)] + p_eig_vals[Spin.up] = [p_eig_vals[Spin.up][i][start_bs_index:nkpts] for i in range(nbands)] if self.is_spin: down_eigen = [eigenvals[Spin.down][i][start_bs_index:nkpts] for i in range(nbands)] eigenvals[Spin.up] = up_eigen eigenvals[Spin.down] = down_eigen if self.projected_eigenvalues: - p_eigenvals[Spin.down] = [ - p_eigenvals[Spin.down][i][start_bs_index:nkpts] for i in range(nbands) - ] + p_eig_vals[Spin.down] = [p_eig_vals[Spin.down][i][start_bs_index:nkpts] for i in range(nbands)] else: eigenvals[Spin.up] = up_eigen else: @@ -973,7 +961,7 @@ def get_band_structure( e_fermi, labels_dict, structure=self.final_structure, - projections=p_eigenvals, + projections=p_eig_vals, ) return BandStructure( kpoints, # type: ignore[arg-type] @@ -981,7 +969,7 @@ def get_band_structure( lattice_new, e_fermi, structure=self.final_structure, - projections=p_eigenvals, # type: ignore[arg-type] + projections=p_eig_vals, # type: ignore[arg-type] ) @property @@ -1689,10 +1677,10 @@ def as_dict(self): vin["kpoints_opt"] = self.kpoints_opt.as_dict() actual_kpts = [ { - "abc": list(self.actual_kpoints_opt[i]), - "weight": self.actual_kpoints_weights_opt[i], + "abc": list(self.actual_kpoints_opt[idx]), + "weight": self.actual_kpoints_weights_opt[idx], } - for i in range(len(self.actual_kpoints_opt)) + for idx in range(len(self.actual_kpoints_opt)) ] vin["kpoints_opt"]["actual_kpoints"] = actual_kpts vin["nkpoints_opt"] = len(actual_kpts) diff --git a/tests/files/kpoints_opt/KPOINTS_OPT b/tests/files/kpoints_opt/KPOINTS_OPT index 6021a8fb4d0..fb17416f794 100644 --- a/tests/files/kpoints_opt/KPOINTS_OPT +++ b/tests/files/kpoints_opt/KPOINTS_OPT @@ -31,4 +31,3 @@ Reciprocal 0.625 0.25 0.625 ! U 0.5 0.0 0.5 ! X - diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 25f896e7d17..8e097357dc8 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -48,6 +48,8 @@ except ImportError: h5py = None +kpts_opt_vrun_path = f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz" + class TestVasprun(PymatgenTest): def test_vasprun_ml(self): @@ -73,7 +75,9 @@ def test_vasprun_md(self): assert vasp_run.converged_ionic def test_bad_random_seed(self): - _ = Vasprun(f"{TEST_FILES_DIR}/vasprun.bad_random_seed.xml") + vasp_run = Vasprun(f"{TEST_FILES_DIR}/vasprun.bad_random_seed.xml") + assert vasp_run.incar["ISMEAR"] == 0 + assert vasp_run.incar["RANDOM_SEED"] is None def test_multiple_dielectric(self): vasp_run = Vasprun(f"{TEST_FILES_DIR}/vasprun.GW0.xml") @@ -707,7 +711,7 @@ def test_eigenvalue_band_properties_separate_spins(self): assert props[3][1] def test_kpoints_opt(self): - vasp_run = Vasprun(f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_projected_eigen=True) + vasp_run = Vasprun(kpts_opt_vrun_path, parse_projected_eigen=True) # This calculation was run using KPOINTS_OPT # Check the k-points were read correctly. assert len(vasp_run.actual_kpoints) == 10 @@ -732,9 +736,7 @@ def test_kpoints_opt(self): assert vasp_run_dct["output"]["eigenvalues_kpoints_opt"]["1"][0][0][0] == approx(-6.1536) def test_kpoints_opt_band_structure(self): - vasp_run = Vasprun( - f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_potcar_file=False, parse_projected_eigen=True - ) + vasp_run = Vasprun(kpts_opt_vrun_path, parse_potcar_file=False, parse_projected_eigen=True) bs = vasp_run.get_band_structure(f"{TEST_FILES_DIR}/kpoints_opt/KPOINTS_OPT") assert isinstance(bs, BandStructureSymmLine) cbm = bs.get_cbm() @@ -1359,9 +1361,7 @@ def test_get_band_structure(self): assert "eigenvalues" in d["output"] def test_kpoints_opt(self): - vasp_run = BSVasprun( - f"{TEST_FILES_DIR}/kpoints_opt/vasprun.xml.gz", parse_potcar_file=False, parse_projected_eigen=True - ) + vasp_run = BSVasprun(kpts_opt_vrun_path, parse_potcar_file=False, parse_projected_eigen=True) bs = vasp_run.get_band_structure(f"{TEST_FILES_DIR}/kpoints_opt/KPOINTS_OPT") assert isinstance(bs, BandStructureSymmLine) cbm = bs.get_cbm() From a2d4df79b007322847fd2ff724531bf8d2d02384 Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Fri, 26 Jan 2024 11:44:18 -0800 Subject: [PATCH 17/22] Explanatory comment on parser restructure https://github.com/materialsproject/pymatgen/pull/3509/#discussion_r1467272445 --- pymatgen/io/vasp/outputs.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index 84a572036c8..7428abbb280 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -336,6 +336,16 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): parsed_header = False in_kpoints_opt = False try: + # When parsing XML, start tags tell us when we have entered a block + # while end tags are when we have actually read the data. + # To know if a particular tag is nested within another block, + # we have to read the start tags (otherwise we will only learn of + # the nesting after we have left the data behind). + # When parsing KPOINTS_OPT data, some of the tags in vasprun.xml + # can only be distinguished from their regular counterparts by + # whether they are nested within another block. This is why we + # must read both start and end tags and have flags to tell us + # when we have entered or left a block. (2024-01-26) for event, elem in ET.iterparse(stream, events=["start", "end"]): tag = elem.tag if event == "start": From cf51ec3fd1aa60d3f1308943e677069792b87e47 Mon Sep 17 00:00:00 2001 From: Bernard Field <51108483+bfield1@users.noreply.github.com> Date: Fri, 26 Jan 2024 13:37:25 -0800 Subject: [PATCH 18/22] Stick all KPOINTS_OPT properties in a container Now they're referenced as attributes of that container (kpoints_opt_properties) rather than being top-level quantities in Vasprun. --- pymatgen/io/vasp/outputs.py | 175 +++++++++++++++++++++------------- tests/io/vasp/test_outputs.py | 14 +-- 2 files changed, 116 insertions(+), 73 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index 7428abbb280..5d1c864f82b 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -140,6 +140,50 @@ def _vasprun_float(flt: float | str) -> float: raise exc +class _ElectronicPropertiesContainer(MSONable): + """ + Simple container class for KPOINTS_OPT data in Vasprun. + + tdos (Dos) + idos (Dos) + pdos (list) + efermi (float) + eigenvalues (dict) + projected_eigenvalues (dict) + projected_magnetisation (np.array) + kpoints (Kpoints) + actual_kpoints (list) + actual_kpoints_weights (list) + dos_has_errors (bool) + """ + + def __init__( + self, + tdos: Dos | None = None, + idos: Dos | None = None, + pdos: list | None = None, + efermi: float | None = None, + eigenvalues: dict | None = None, + projected_eigenvalues: dict | None = None, + projected_magnetisation: np.array | None = None, + kpoints: Kpoints | None = None, + actual_kpoints: list | None = None, + actual_kpoints_weights: list | None = None, + dos_has_errors: bool | None = None, + ) -> None: + self.tdos = tdos + self.idos = idos + self.pdos = pdos + self.efermi = efermi + self.eigenvalues = eigenvalues + self.projected_eigenvalues = projected_eigenvalues + self.projected_magnetisation = projected_magnetisation + self.kpoints = kpoints + self.actual_kpoints = actual_kpoints + self.actual_kpoints_weights = actual_kpoints_weights + self.dos_has_errors = None + + class Vasprun(MSONable): """ Vastly improved cElementTree-based parser for vasprun.xml files. Uses @@ -192,22 +236,10 @@ class Vasprun(MSONable): 0.04166667, ....]. atomic_symbols (list): List of atomic symbols, e.g., ["Li", "Fe", "Fe", "P", "P", "P"]. potcar_symbols (list): List of POTCAR symbols. e.g., ["PAW_PBE Li 17Jan2003", "PAW_PBE Fe 06Sep2000", ..]. - tdos_opt (Dos): Same as tdos but obtained from KPOINTS_OPT (if present, else None). - idos_opt (Dos): Same as idos but obtained from KPOINTS_OPT (if present, else None). - pdos_opt (list): List of list of PDos objects. As pdos but obtained from KPOINTS_OPT (if present, - else None). - efermi_opt (float): Same as efermi but obtained from DOS calculated by KPOINTS_OPT. - eigenvalues_kpoints_opt (dict): Same as eigenvalues but obtained from KPOINTS_OPT (if present, - else None). - projected_eigenvalues_kpoints_opt (dict): Same as projected_eigenvalues but obtained from - KPOINTS_OPT (if present, else None). - projected_magnetisation_kpoints_opt (np.array): Same as projected_magnetisation but obtained - from KPOINTS_OPT (if present, else None). - kpoints_opt (Kpoints): Same as kpoints but obtained from KPOINTS_OPT (if present, else None). - actual_kpoints_opt (list): Same as actual_kpoints but obtained from KPOINTS_OPT (if present, - else None). - actual_kpoints_weights_opt (list): Same as actual_kpoints_weights but obtained from KPOINTS_OPT (if - present, else None). + kpoints_opt_properties (object): Object whose attributes are the data from KPOINTS_OPT (if present, + else None). Attributes of the same name have the same format and meaning as Vasprun (or they are + None if absent). Attributes are: tdos, idos, pdos, efermi, eigenvalues, projected_eigenvalues, + projected magnetisation, kpoints, actual_kpoints, actual_kpoints_weights, dos_has_errors. Author: Shyue Ping Ong """ @@ -324,11 +356,7 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.other_dielectric = {} self.incar = {} # Initialise kpoints_opt attributes - self.eigenvalues_kpoints_opt = self.projected_eigenvalues_kpoints_opt = None - self.projected_magnetisation_kpoints_opt = None - self.kpoints_opt = self.actual_kpoints_opt = self.actual_kpoints_weights_opt = None - self.tdos_opt = self.idos_opt = self.pdos_opt = None - self.efermi_opt = self.dos_has_errors_opt = None + self.kpoints_opt_properties = None ionic_steps = [] @@ -385,12 +413,18 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): ionic_steps.extend(self._parse_chemical_shielding_calculation(elem)) elif parse_dos and tag == "dos": if elem.get("comment") == "kpoints_opt": + if self.kpoints_opt_properties is None: + self.kpoints_opt_properties = _ElectronicPropertiesContainer() try: - self.tdos_opt, self.idos_opt, self.pdos_opt = self._parse_dos(elem) - self.efermi_opt = self.tdos_opt.efermi - self.dos_has_errors_opt = False + ( + self.kpoints_opt_properties.tdos, + self.kpoints_opt_properties.idos, + self.kpoints_opt_properties.pdos, + ) = self._parse_dos(elem) + self.kpoints_opt_properties.efermi = self.kpoints_opt_properties.tdos.efermi + self.kpoints_opt_properties.dos_has_errors = False except Exception: - self.dos_has_errors_opt = True + self.kpoints_opt_properties.dos_has_errors = True else: try: self.tdos, self.idos, self.pdos = self._parse_dos(elem) @@ -404,20 +438,22 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": in_kpoints_opt = False + if self.kpoints_opt_properties is None: + self.kpoints_opt_properties = _ElectronicPropertiesContainer() if parse_eigen: # projected_kpoints_opt includes occupation information whereas # eigenvalues_kpoints_opt doesn't. - self.eigenvalues_kpoints_opt = self._parse_eigen(elem.find("eigenvalues")) + self.kpoints_opt_properties.eigenvalues = self._parse_eigen(elem.find("eigenvalues")) if tag == "eigenvalues_kpoints_opt": ( - self.kpoints_opt, - self.actual_kpoints_opt, - self.actual_kpoints_weights_opt, + self.kpoints_opt_properties.kpoints, + self.kpoints_opt_properties.actual_kpoints, + self.kpoints_opt_properties.actual_kpoints_weights, ) = self._parse_kpoints(elem.find("kpoints")) elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) ( - self.projected_eigenvalues_kpoints_opt, - self.projected_magnetisation_kpoints_opt, + self.kpoints_opt_properties.projected_eigenvalues, + self.kpoints_opt_properties.projected_magnetisation, ) = self._parse_projected_eigen(elem) elif tag == "dielectricfunction": if ( @@ -868,16 +904,19 @@ def get_band_structure( functionals). The explicit KPOINTS file needs to have data on the kpoint label as commentary. - If VASP was rum with KPOINTS_OPT, it reads the data from that + If VASP was run with KPOINTS_OPT, it reads the data from that file unless told otherwise. This overrides hybrid mode. """ - use_kpoints_opt = not ignore_kpoints_opt and (getattr(self, "actual_kpoints_opt", None) is not None) + use_kpoints_opt = not ignore_kpoints_opt and (getattr(self, "kpoints_opt_properties", None) is not None) if not kpoints_filename: kpts_path = os.path.join(os.path.dirname(self.filename), "KPOINTS_OPT" if use_kpoints_opt else "KPOINTS") kpoints_filename = zpath(kpts_path) if kpoints_filename and not os.path.isfile(kpoints_filename) and line_mode is True: - raise VaspParseError("KPOINTS not found but needed to obtain band structure along symmetry lines.") + name = "KPOINTS_OPT" if use_kpoints_opt else "KPOINTS" + raise VaspParseError(f"{name} not found but needed to obtain band structure along symmetry lines.") + # Note that we're using the Fermi energy of the self-consistent grid + # run even if we're reading bands from KPOINTS_OPT. if efermi == "smart": e_fermi = self.calculate_efermi() elif efermi is None: @@ -891,7 +930,7 @@ def get_band_structure( lattice_new = Lattice(self.final_structure.lattice.reciprocal_lattice.matrix) if use_kpoints_opt: - kpoints = [np.array(kpt) for kpt in self.actual_kpoints_opt] + kpoints = [np.array(kpt) for kpt in self.kpoints_opt_properties.actual_kpoints] else: kpoints = [np.array(kpt) for kpt in self.actual_kpoints] @@ -901,8 +940,8 @@ def get_band_structure( nkpts = len(kpoints) if use_kpoints_opt: - eig_vals = self.eigenvalues_kpoints_opt - projected_eig_vals = self.projected_eigenvalues_kpoints_opt + eig_vals = self.kpoints_opt_properties.eigenvalues + projected_eig_vals = self.kpoints_opt_properties.projected_eigenvalues else: eig_vals = self.eigenvalues projected_eig_vals = self.projected_eigenvalues @@ -1204,14 +1243,14 @@ def as_dict(self): ] vin["kpoints"]["actual_points"] = actual_kpts vin["nkpoints"] = len(actual_kpts) - if actual_kpoints_opt := getattr(self, "actual_kpoints_opt", None): - vin["kpoints_opt"] = self.kpoints_opt.as_dict() + if kopt_props := getattr(self, "kpoints_opt_properties", None): + vin["kpoints_opt"] = kopt_props.kpoints.as_dict() actual_kpts = [ { - "abc": list(actual_kpoints_opt[idx]), - "weight": self.actual_kpoints_weights_opt[idx], + "abc": list(kopt_props.actual_kpoints[idx]), + "weight": kopt_props.actual_kpoints_weights[idx], } - for idx in range(len(actual_kpoints_opt)) + for idx in range(len(kopt_props.actual_kpoints)) ] vin["kpoints_opt"]["actual_kpoints"] = actual_kpts vin["nkpoints_opt"] = len(actual_kpts) @@ -1255,20 +1294,20 @@ def as_dict(self): if self.projected_magnetisation is not None: vout["projected_magnetisation"] = self.projected_magnetisation.tolist() - if self.eigenvalues_kpoints_opt: - eigen = {str(spin): v.tolist() for spin, v in self.eigenvalues_kpoints_opt.items()} + if kopt_props and kopt_props.eigenvalues: + eigen = {str(spin): v.tolist() for spin, v in kopt_props.eigenvalues.items()} vout["eigenvalues_kpoints_opt"] = eigen # TODO implement kpoints_opt eigenvalue_band_proprties. # (gap, cbm, vbm, is_direct) = self.eigenvalue_band_properties # vout.update({"bandgap": gap, "cbm": cbm, "vbm": vbm, "is_gap_direct": is_direct}) - if self.projected_eigenvalues_kpoints_opt: + if kopt_props.projected_eigenvalues: vout["projected_eigenvalues_kpoints_opt"] = { - str(spin): v.tolist() for spin, v in self.projected_eigenvalues_kpoints_opt.items() + str(spin): v.tolist() for spin, v in kopt_props.projected_eigenvalues.items() } - if self.projected_magnetisation_kpoints_opt is not None: - vout["projected_magnetisation_kpoints_opt"] = self.projected_magnetisation_kpoints_opt.tolist() + if kopt_props.projected_magnetisation is not None: + vout["projected_magnetisation_kpoints_opt"] = kopt_props.projected_magnetisation.tolist() vout["epsilon_static"] = self.epsilon_static vout["epsilon_static_wolfe"] = self.epsilon_static_wolfe @@ -1585,9 +1624,7 @@ def __init__( parsed_header = False in_kpoints_opt = False self.eigenvalues = self.projected_eigenvalues = None - self.efermi_opt = None - self.eigenvalues_kpoints_opt = None - self.projected_eigenvalues_kpoints_opt = None + self.kpoints_opt_properties = None for event, elem in ET.iterparse(file, events=["start", "end"]): tag = elem.tag if event == "start": @@ -1620,7 +1657,9 @@ def __init__( parsed_header = True elif tag == "i" and elem.attrib.get("name") == "efermi": if in_kpoints_opt: - self.efermi_opt = float(elem.text) + if self.kpoints_opt_properties is None: + self.kpoints_opt_properties = _ElectronicPropertiesContainer() + self.kpoints_opt_properties.efermi = float(elem.text) in_kpoints_opt = False else: self.efermi = float(elem.text) @@ -1629,20 +1668,22 @@ def __init__( elif parse_projected_eigen and tag == "projected" and not in_kpoints_opt: self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": + if self.kpoints_opt_properties is None: + self.kpoints_opt_properties = _ElectronicPropertiesContainer() in_kpoints_opt = False # projected_kpoints_opt includes occupation information whereas # eigenvalues_kpoints_opt doesn't. - self.eigenvalues_kpoints_opt = self._parse_eigen(elem.find("eigenvalues")) + self.kpoints_opt_properties.eigenvalues = self._parse_eigen(elem.find("eigenvalues")) if tag == "eigenvalues_kpoints_opt": ( - self.kpoints_opt, - self.actual_kpoints_opt, - self.actual_kpoints_weights_opt, + self.kpoints_opt_properties.kpoints, + self.kpoints_opt_properties.actual_kpoints, + self.kpoints_opt_properties.actual_kpoints_weights, ) = self._parse_kpoints(elem.find("kpoints")) elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) ( - self.projected_eigenvalues_kpoints_opt, - self.projected_magnetisation_kpoints_opt, + self.kpoints_opt_properties.projected_eigenvalues, + self.kpoints_opt_properties.projected_magnetisation, ) = self._parse_projected_eigen(elem) elif tag == "structure" and elem.attrib.get("name") == "finalpos": self.final_structure = self._parse_structure(elem) @@ -1683,14 +1724,14 @@ def as_dict(self): for i in range(len(self.actual_kpoints)) ] vin["kpoints"]["actual_points"] = actual_kpts - if hasattr(self, "actual_kpoints_opt") and self.actual_kpoints_opt: - vin["kpoints_opt"] = self.kpoints_opt.as_dict() + if kopt_props := getattr(self, "kpoints_opt_properties", None): + vin["kpoints_opt"] = kopt_props.kpoints.as_dict() actual_kpts = [ { - "abc": list(self.actual_kpoints_opt[idx]), - "weight": self.actual_kpoints_weights_opt[idx], + "abc": list(kopt_props.actual_kpoints[idx]), + "weight": kopt_props.actual_kpoints_weights[idx], } - for idx in range(len(self.actual_kpoints_opt)) + for idx in range(len(kopt_props.actual_kpoints)) ] vin["kpoints_opt"]["actual_kpoints"] = actual_kpts vin["nkpoints_opt"] = len(actual_kpts) @@ -1720,16 +1761,16 @@ def as_dict(self): peigen[kpoint_index][str(spin)] = vv vout["projected_eigenvalues"] = peigen - if self.eigenvalues_kpoints_opt: - eigen = {str(spin): v.tolist() for spin, v in self.eigenvalues_kpoints_opt.items()} + if kopt_props and kopt_props.eigenvalues: + eigen = {str(spin): v.tolist() for spin, v in kopt_props.eigenvalues.items()} vout["eigenvalues_kpoints_opt"] = eigen # TODO implement kpoints_opt eigenvalue_band_proprties. # (gap, cbm, vbm, is_direct) = self.eigenvalue_band_properties # vout.update({"bandgap": gap, "cbm": cbm, "vbm": vbm, "is_gap_direct": is_direct}) - if self.projected_eigenvalues_kpoints_opt: + if kopt_props.projected_eigenvalues: vout["projected_eigenvalues_kpoints_opt"] = { - str(spin): v.tolist() for spin, v in self.projected_eigenvalues_kpoints_opt.items() + str(spin): v.tolist() for spin, v in kopt_props.projected_eigenvalues.items() } dct["output"] = vout diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 8c81db16b2e..2ff5631d5be 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -713,22 +713,24 @@ def test_eigenvalue_band_properties_separate_spins(self): def test_kpoints_opt(self): vasp_run = Vasprun(kpts_opt_vrun_path, parse_projected_eigen=True) # This calculation was run using KPOINTS_OPT + kopt_props = vasp_run.kpoints_opt_properties # Check the k-points were read correctly. assert len(vasp_run.actual_kpoints) == 10 assert len(vasp_run.actual_kpoints_weights) == 10 - assert len(vasp_run.actual_kpoints_opt) == 100 - assert len(vasp_run.actual_kpoints_weights_opt) == 100 + assert len(kopt_props.actual_kpoints) == 100 + assert len(kopt_props.actual_kpoints_weights) == 100 # Check the eigenvalues were read correctly. assert vasp_run.eigenvalues[Spin.up].shape == (10, 24, 2) - assert vasp_run.eigenvalues_kpoints_opt[Spin.up].shape == (100, 24, 2) + assert kopt_props.eigenvalues[Spin.up].shape == (100, 24, 2) assert vasp_run.eigenvalues[Spin.up][0, 0, 0] == approx(-6.1471) - assert vasp_run.eigenvalues_kpoints_opt[Spin.up][0, 0, 0] == approx(-6.1536) + assert kopt_props.eigenvalues[Spin.up][0, 0, 0] == approx(-6.1536) # Check the projected eigenvalues were read correctly assert vasp_run.projected_eigenvalues[Spin.up].shape == (10, 24, 8, 9) - assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up].shape == (100, 24, 8, 9) + assert kopt_props.projected_eigenvalues[Spin.up].shape == (100, 24, 8, 9) assert vasp_run.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0492) - assert vasp_run.projected_eigenvalues_kpoints_opt[Spin.up][0, 1, 0, 0] == approx(0.0000) + assert kopt_props.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0000) # I think these zeroes are a bug in VASP (maybe my VASP) transcribing from PROCAR_OPT to vasprun.xml + # No matter. The point of the parser is to read what's in the file. # Test as_dict vasp_run_dct = vasp_run.as_dict() assert vasp_run_dct["input"]["nkpoints_opt"] == 100 From e40d40c90a99dc24fae63ff5101dd2ebd203947f Mon Sep 17 00:00:00 2001 From: Janosh Riebesell Date: Fri, 23 Feb 2024 12:08:29 +0100 Subject: [PATCH 19/22] rename _ElectronicPropertiesContainer to KpointOptProps and turn into dataclass which have 1st class MSONable support --- pymatgen/io/vasp/outputs.py | 57 ++++++++++--------------------------- 1 file changed, 15 insertions(+), 42 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index a2e49f69b0c..3ae5f13a7e0 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -140,48 +140,21 @@ def _vasprun_float(flt: float | str) -> float: raise exc -class _ElectronicPropertiesContainer(MSONable): - """ - Simple container class for KPOINTS_OPT data in Vasprun. - - tdos (Dos) - idos (Dos) - pdos (list) - efermi (float) - eigenvalues (dict) - projected_eigenvalues (dict) - projected_magnetisation (np.array) - kpoints (Kpoints) - actual_kpoints (list) - actual_kpoints_weights (list) - dos_has_errors (bool) - """ - - def __init__( - self, - tdos: Dos | None = None, - idos: Dos | None = None, - pdos: list | None = None, - efermi: float | None = None, - eigenvalues: dict | None = None, - projected_eigenvalues: dict | None = None, - projected_magnetisation: np.array | None = None, - kpoints: Kpoints | None = None, - actual_kpoints: list | None = None, - actual_kpoints_weights: list | None = None, - dos_has_errors: bool | None = None, - ) -> None: - self.tdos = tdos - self.idos = idos - self.pdos = pdos - self.efermi = efermi - self.eigenvalues = eigenvalues - self.projected_eigenvalues = projected_eigenvalues - self.projected_magnetisation = projected_magnetisation - self.kpoints = kpoints - self.actual_kpoints = actual_kpoints - self.actual_kpoints_weights = actual_kpoints_weights - self.dos_has_errors = None +@dataclass +class KpointOptProps: + """Simple container class to store KPOINTS_OPT data in a separate namespace. Used by Vasprun.""" + + tdos: Dos | None = None + idos: Dos | None = None + pdos: list | None = None + efermi: float | None = None + eigenvalues: dict | None = None + projected_eigenvalues: dict | None = None + projected_magnetisation: np.array | None = None + kpoints: Kpoints | None = None + actual_kpoints: list | None = None + actual_kpoints_weights: list | None = None + dos_has_errors: bool | None = None class Vasprun(MSONable): From 712da149f5607b4d00380976b69a0ca5f6acf9f2 Mon Sep 17 00:00:00 2001 From: Janosh Riebesell Date: Fri, 23 Feb 2024 12:09:48 +0100 Subject: [PATCH 20/22] rename Vasprun.kpoints_opt_properties to kpoint_opt_props --- pymatgen/io/vasp/outputs.py | 108 +++++++++++++++++----------------- tests/io/vasp/test_outputs.py | 14 ++--- 2 files changed, 61 insertions(+), 61 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index 3ae5f13a7e0..b202cf6a397 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -209,7 +209,7 @@ class Vasprun(MSONable): 0.04166667, ....]. atomic_symbols (list): List of atomic symbols, e.g., ["Li", "Fe", "Fe", "P", "P", "P"]. potcar_symbols (list): List of POTCAR symbols. e.g., ["PAW_PBE Li 17Jan2003", "PAW_PBE Fe 06Sep2000", ..]. - kpoints_opt_properties (object): Object whose attributes are the data from KPOINTS_OPT (if present, + kpoint_opt_props (object): Object whose attributes are the data from KPOINTS_OPT (if present, else None). Attributes of the same name have the same format and meaning as Vasprun (or they are None if absent). Attributes are: tdos, idos, pdos, efermi, eigenvalues, projected_eigenvalues, projected magnetisation, kpoints, actual_kpoints, actual_kpoints_weights, dos_has_errors. @@ -329,7 +329,7 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.other_dielectric = {} self.incar = {} # Initialise kpoints_opt attributes - self.kpoints_opt_properties = None + self.kpoint_opt_props = None ionic_steps = [] @@ -386,18 +386,18 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): ionic_steps.extend(self._parse_chemical_shielding_calculation(elem)) elif parse_dos and tag == "dos": if elem.get("comment") == "kpoints_opt": - if self.kpoints_opt_properties is None: - self.kpoints_opt_properties = _ElectronicPropertiesContainer() + if self.kpoint_opt_props is None: + self.kpoint_opt_props = KpointOptProps() try: ( - self.kpoints_opt_properties.tdos, - self.kpoints_opt_properties.idos, - self.kpoints_opt_properties.pdos, + self.kpoint_opt_props.tdos, + self.kpoint_opt_props.idos, + self.kpoint_opt_props.pdos, ) = self._parse_dos(elem) - self.kpoints_opt_properties.efermi = self.kpoints_opt_properties.tdos.efermi - self.kpoints_opt_properties.dos_has_errors = False + self.kpoint_opt_props.efermi = self.kpoint_opt_props.tdos.efermi + self.kpoint_opt_props.dos_has_errors = False except Exception: - self.kpoints_opt_properties.dos_has_errors = True + self.kpoint_opt_props.dos_has_errors = True else: try: self.tdos, self.idos, self.pdos = self._parse_dos(elem) @@ -411,22 +411,22 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": in_kpoints_opt = False - if self.kpoints_opt_properties is None: - self.kpoints_opt_properties = _ElectronicPropertiesContainer() + if self.kpoint_opt_props is None: + self.kpoint_opt_props = KpointOptProps() if parse_eigen: # projected_kpoints_opt includes occupation information whereas # eigenvalues_kpoints_opt doesn't. - self.kpoints_opt_properties.eigenvalues = self._parse_eigen(elem.find("eigenvalues")) + self.kpoint_opt_props.eigenvalues = self._parse_eigen(elem.find("eigenvalues")) if tag == "eigenvalues_kpoints_opt": ( - self.kpoints_opt_properties.kpoints, - self.kpoints_opt_properties.actual_kpoints, - self.kpoints_opt_properties.actual_kpoints_weights, + self.kpoint_opt_props.kpoints, + self.kpoint_opt_props.actual_kpoints, + self.kpoint_opt_props.actual_kpoints_weights, ) = self._parse_kpoints(elem.find("kpoints")) elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) ( - self.kpoints_opt_properties.projected_eigenvalues, - self.kpoints_opt_properties.projected_magnetisation, + self.kpoint_opt_props.projected_eigenvalues, + self.kpoint_opt_props.projected_magnetisation, ) = self._parse_projected_eigen(elem) elif tag == "dielectricfunction": if ( @@ -880,7 +880,7 @@ def get_band_structure( If VASP was run with KPOINTS_OPT, it reads the data from that file unless told otherwise. This overrides hybrid mode. """ - use_kpoints_opt = not ignore_kpoints_opt and (getattr(self, "kpoints_opt_properties", None) is not None) + use_kpoints_opt = not ignore_kpoints_opt and (getattr(self, "kpoint_opt_props", None) is not None) if not kpoints_filename: kpts_path = os.path.join(os.path.dirname(self.filename), "KPOINTS_OPT" if use_kpoints_opt else "KPOINTS") kpoints_filename = zpath(kpts_path) @@ -903,7 +903,7 @@ def get_band_structure( lattice_new = Lattice(self.final_structure.lattice.reciprocal_lattice.matrix) if use_kpoints_opt: - kpoints = [np.array(kpt) for kpt in self.kpoints_opt_properties.actual_kpoints] + kpoints = [np.array(kpt) for kpt in self.kpoint_opt_props.actual_kpoints] else: kpoints = [np.array(kpt) for kpt in self.actual_kpoints] @@ -913,8 +913,8 @@ def get_band_structure( nkpts = len(kpoints) if use_kpoints_opt: - eig_vals = self.kpoints_opt_properties.eigenvalues - projected_eig_vals = self.kpoints_opt_properties.projected_eigenvalues + eig_vals = self.kpoint_opt_props.eigenvalues + projected_eig_vals = self.kpoint_opt_props.projected_eigenvalues else: eig_vals = self.eigenvalues projected_eig_vals = self.projected_eigenvalues @@ -1219,14 +1219,14 @@ def as_dict(self): ] vin["kpoints"]["actual_points"] = actual_kpts vin["nkpoints"] = len(actual_kpts) - if kopt_props := getattr(self, "kpoints_opt_properties", None): - vin["kpoints_opt"] = kopt_props.kpoints.as_dict() + if kpt_opt_props := getattr(self, "kpoint_opt_props", None): + vin["kpoints_opt"] = kpt_opt_props.kpoints.as_dict() actual_kpts = [ { - "abc": list(kopt_props.actual_kpoints[idx]), - "weight": kopt_props.actual_kpoints_weights[idx], + "abc": list(kpt_opt_props.actual_kpoints[idx]), + "weight": kpt_opt_props.actual_kpoints_weights[idx], } - for idx in range(len(kopt_props.actual_kpoints)) + for idx in range(len(kpt_opt_props.actual_kpoints)) ] vin["kpoints_opt"]["actual_kpoints"] = actual_kpts vin["nkpoints_opt"] = len(actual_kpts) @@ -1270,20 +1270,20 @@ def as_dict(self): if self.projected_magnetisation is not None: vout["projected_magnetisation"] = self.projected_magnetisation.tolist() - if kopt_props and kopt_props.eigenvalues: - eigen = {str(spin): v.tolist() for spin, v in kopt_props.eigenvalues.items()} + if kpt_opt_props and kpt_opt_props.eigenvalues: + eigen = {str(spin): v.tolist() for spin, v in kpt_opt_props.eigenvalues.items()} vout["eigenvalues_kpoints_opt"] = eigen # TODO implement kpoints_opt eigenvalue_band_proprties. # (gap, cbm, vbm, is_direct) = self.eigenvalue_band_properties # vout.update({"bandgap": gap, "cbm": cbm, "vbm": vbm, "is_gap_direct": is_direct}) - if kopt_props.projected_eigenvalues: + if kpt_opt_props.projected_eigenvalues: vout["projected_eigenvalues_kpoints_opt"] = { - str(spin): v.tolist() for spin, v in kopt_props.projected_eigenvalues.items() + str(spin): v.tolist() for spin, v in kpt_opt_props.projected_eigenvalues.items() } - if kopt_props.projected_magnetisation is not None: - vout["projected_magnetisation_kpoints_opt"] = kopt_props.projected_magnetisation.tolist() + if kpt_opt_props.projected_magnetisation is not None: + vout["projected_magnetisation_kpoints_opt"] = kpt_opt_props.projected_magnetisation.tolist() vout["epsilon_static"] = self.epsilon_static vout["epsilon_static_wolfe"] = self.epsilon_static_wolfe @@ -1600,7 +1600,7 @@ def __init__( parsed_header = False in_kpoints_opt = False self.eigenvalues = self.projected_eigenvalues = None - self.kpoints_opt_properties = None + self.kpoint_opt_props = None for event, elem in ET.iterparse(file, events=["start", "end"]): tag = elem.tag if event == "start": @@ -1633,9 +1633,9 @@ def __init__( parsed_header = True elif tag == "i" and elem.attrib.get("name") == "efermi": if in_kpoints_opt: - if self.kpoints_opt_properties is None: - self.kpoints_opt_properties = _ElectronicPropertiesContainer() - self.kpoints_opt_properties.efermi = float(elem.text) + if self.kpoint_opt_props is None: + self.kpoint_opt_props = KpointOptProps() + self.kpoint_opt_props.efermi = float(elem.text) in_kpoints_opt = False else: self.efermi = float(elem.text) @@ -1644,22 +1644,22 @@ def __init__( elif parse_projected_eigen and tag == "projected" and not in_kpoints_opt: self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": - if self.kpoints_opt_properties is None: - self.kpoints_opt_properties = _ElectronicPropertiesContainer() + if self.kpoint_opt_props is None: + self.kpoint_opt_props = KpointOptProps() in_kpoints_opt = False # projected_kpoints_opt includes occupation information whereas # eigenvalues_kpoints_opt doesn't. - self.kpoints_opt_properties.eigenvalues = self._parse_eigen(elem.find("eigenvalues")) + self.kpoint_opt_props.eigenvalues = self._parse_eigen(elem.find("eigenvalues")) if tag == "eigenvalues_kpoints_opt": ( - self.kpoints_opt_properties.kpoints, - self.kpoints_opt_properties.actual_kpoints, - self.kpoints_opt_properties.actual_kpoints_weights, + self.kpoint_opt_props.kpoints, + self.kpoint_opt_props.actual_kpoints, + self.kpoint_opt_props.actual_kpoints_weights, ) = self._parse_kpoints(elem.find("kpoints")) elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) ( - self.kpoints_opt_properties.projected_eigenvalues, - self.kpoints_opt_properties.projected_magnetisation, + self.kpoint_opt_props.projected_eigenvalues, + self.kpoint_opt_props.projected_magnetisation, ) = self._parse_projected_eigen(elem) elif tag == "structure" and elem.attrib.get("name") == "finalpos": self.final_structure = self._parse_structure(elem) @@ -1700,14 +1700,14 @@ def as_dict(self): for i in range(len(self.actual_kpoints)) ] vin["kpoints"]["actual_points"] = actual_kpts - if kopt_props := getattr(self, "kpoints_opt_properties", None): - vin["kpoints_opt"] = kopt_props.kpoints.as_dict() + if kpt_opt_props := getattr(self, "kpoint_opt_props", None): + vin["kpoints_opt"] = kpt_opt_props.kpoints.as_dict() actual_kpts = [ { - "abc": list(kopt_props.actual_kpoints[idx]), - "weight": kopt_props.actual_kpoints_weights[idx], + "abc": list(kpt_opt_props.actual_kpoints[idx]), + "weight": kpt_opt_props.actual_kpoints_weights[idx], } - for idx in range(len(kopt_props.actual_kpoints)) + for idx in range(len(kpt_opt_props.actual_kpoints)) ] vin["kpoints_opt"]["actual_kpoints"] = actual_kpts vin["nkpoints_opt"] = len(actual_kpts) @@ -1737,16 +1737,16 @@ def as_dict(self): peigen[kpoint_index][str(spin)] = vv vout["projected_eigenvalues"] = peigen - if kopt_props and kopt_props.eigenvalues: - eigen = {str(spin): v.tolist() for spin, v in kopt_props.eigenvalues.items()} + if kpt_opt_props and kpt_opt_props.eigenvalues: + eigen = {str(spin): v.tolist() for spin, v in kpt_opt_props.eigenvalues.items()} vout["eigenvalues_kpoints_opt"] = eigen # TODO implement kpoints_opt eigenvalue_band_proprties. # (gap, cbm, vbm, is_direct) = self.eigenvalue_band_properties # vout.update({"bandgap": gap, "cbm": cbm, "vbm": vbm, "is_gap_direct": is_direct}) - if kopt_props.projected_eigenvalues: + if kpt_opt_props.projected_eigenvalues: vout["projected_eigenvalues_kpoints_opt"] = { - str(spin): v.tolist() for spin, v in kopt_props.projected_eigenvalues.items() + str(spin): v.tolist() for spin, v in kpt_opt_props.projected_eigenvalues.items() } dct["output"] = vout diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 67ac9581419..b99f0d27449 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -713,22 +713,22 @@ def test_eigenvalue_band_properties_separate_spins(self): def test_kpoints_opt(self): vasp_run = Vasprun(kpts_opt_vrun_path, parse_projected_eigen=True) # This calculation was run using KPOINTS_OPT - kopt_props = vasp_run.kpoints_opt_properties + kpt_opt_props = vasp_run.kpoint_opt_props # Check the k-points were read correctly. assert len(vasp_run.actual_kpoints) == 10 assert len(vasp_run.actual_kpoints_weights) == 10 - assert len(kopt_props.actual_kpoints) == 100 - assert len(kopt_props.actual_kpoints_weights) == 100 + assert len(kpt_opt_props.actual_kpoints) == 100 + assert len(kpt_opt_props.actual_kpoints_weights) == 100 # Check the eigenvalues were read correctly. assert vasp_run.eigenvalues[Spin.up].shape == (10, 24, 2) - assert kopt_props.eigenvalues[Spin.up].shape == (100, 24, 2) + assert kpt_opt_props.eigenvalues[Spin.up].shape == (100, 24, 2) assert vasp_run.eigenvalues[Spin.up][0, 0, 0] == approx(-6.1471) - assert kopt_props.eigenvalues[Spin.up][0, 0, 0] == approx(-6.1536) + assert kpt_opt_props.eigenvalues[Spin.up][0, 0, 0] == approx(-6.1536) # Check the projected eigenvalues were read correctly assert vasp_run.projected_eigenvalues[Spin.up].shape == (10, 24, 8, 9) - assert kopt_props.projected_eigenvalues[Spin.up].shape == (100, 24, 8, 9) + assert kpt_opt_props.projected_eigenvalues[Spin.up].shape == (100, 24, 8, 9) assert vasp_run.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0492) - assert kopt_props.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0000) + assert kpt_opt_props.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0000) # I think these zeroes are a bug in VASP (maybe my VASP) transcribing from PROCAR_OPT to vasprun.xml # No matter. The point of the parser is to read what's in the file. # Test as_dict From 58622ed11d57a06a980e39f511f1c86411888688 Mon Sep 17 00:00:00 2001 From: Janosh Riebesell Date: Fri, 23 Feb 2024 12:13:05 +0100 Subject: [PATCH 21/22] fix typo kpoint_opt_props -> kpoints_opt_props --- pymatgen/io/vasp/outputs.py | 73 +++++++++++++++++------------------ tests/io/vasp/test_outputs.py | 2 +- 2 files changed, 37 insertions(+), 38 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index f14c8f91fbb..870f41c8c00 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -209,7 +209,7 @@ class Vasprun(MSONable): 0.04166667, ....]. atomic_symbols (list): List of atomic symbols, e.g., ["Li", "Fe", "Fe", "P", "P", "P"]. potcar_symbols (list): List of POTCAR symbols. e.g., ["PAW_PBE Li 17Jan2003", "PAW_PBE Fe 06Sep2000", ..]. - kpoint_opt_props (object): Object whose attributes are the data from KPOINTS_OPT (if present, + kpoints_opt_props (object): Object whose attributes are the data from KPOINTS_OPT (if present, else None). Attributes of the same name have the same format and meaning as Vasprun (or they are None if absent). Attributes are: tdos, idos, pdos, efermi, eigenvalues, projected_eigenvalues, projected magnetisation, kpoints, actual_kpoints, actual_kpoints_weights, dos_has_errors. @@ -328,8 +328,7 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.dielectric_data = {} self.other_dielectric = {} self.incar = {} - # Initialise kpoints_opt attributes - self.kpoint_opt_props = None + self.kpoints_opt_props = None ionic_steps = [] @@ -386,18 +385,18 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): ionic_steps.extend(self._parse_chemical_shielding_calculation(elem)) elif parse_dos and tag == "dos": if elem.get("comment") == "kpoints_opt": - if self.kpoint_opt_props is None: - self.kpoint_opt_props = KpointOptProps() + if self.kpoints_opt_props is None: + self.kpoints_opt_props = KpointOptProps() try: ( - self.kpoint_opt_props.tdos, - self.kpoint_opt_props.idos, - self.kpoint_opt_props.pdos, + self.kpoints_opt_props.tdos, + self.kpoints_opt_props.idos, + self.kpoints_opt_props.pdos, ) = self._parse_dos(elem) - self.kpoint_opt_props.efermi = self.kpoint_opt_props.tdos.efermi - self.kpoint_opt_props.dos_has_errors = False + self.kpoints_opt_props.efermi = self.kpoints_opt_props.tdos.efermi + self.kpoints_opt_props.dos_has_errors = False except Exception: - self.kpoint_opt_props.dos_has_errors = True + self.kpoints_opt_props.dos_has_errors = True else: try: self.tdos, self.idos, self.pdos = self._parse_dos(elem) @@ -411,22 +410,22 @@ def _parse(self, stream, parse_dos, parse_eigen, parse_projected_eigen): self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": in_kpoints_opt = False - if self.kpoint_opt_props is None: - self.kpoint_opt_props = KpointOptProps() + if self.kpoints_opt_props is None: + self.kpoints_opt_props = KpointOptProps() if parse_eigen: # projected_kpoints_opt includes occupation information whereas # eigenvalues_kpoints_opt doesn't. - self.kpoint_opt_props.eigenvalues = self._parse_eigen(elem.find("eigenvalues")) + self.kpoints_opt_props.eigenvalues = self._parse_eigen(elem.find("eigenvalues")) if tag == "eigenvalues_kpoints_opt": ( - self.kpoint_opt_props.kpoints, - self.kpoint_opt_props.actual_kpoints, - self.kpoint_opt_props.actual_kpoints_weights, + self.kpoints_opt_props.kpoints, + self.kpoints_opt_props.actual_kpoints, + self.kpoints_opt_props.actual_kpoints_weights, ) = self._parse_kpoints(elem.find("kpoints")) elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) ( - self.kpoint_opt_props.projected_eigenvalues, - self.kpoint_opt_props.projected_magnetisation, + self.kpoints_opt_props.projected_eigenvalues, + self.kpoints_opt_props.projected_magnetisation, ) = self._parse_projected_eigen(elem) elif tag == "dielectricfunction": if ( @@ -880,7 +879,7 @@ def get_band_structure( If VASP was run with KPOINTS_OPT, it reads the data from that file unless told otherwise. This overrides hybrid mode. """ - use_kpoints_opt = not ignore_kpoints_opt and (getattr(self, "kpoint_opt_props", None) is not None) + use_kpoints_opt = not ignore_kpoints_opt and (getattr(self, "kpoints_opt_props", None) is not None) if not kpoints_filename: kpts_path = os.path.join(os.path.dirname(self.filename), "KPOINTS_OPT" if use_kpoints_opt else "KPOINTS") kpoints_filename = zpath(kpts_path) @@ -903,7 +902,7 @@ def get_band_structure( lattice_new = Lattice(self.final_structure.lattice.reciprocal_lattice.matrix) if use_kpoints_opt: - kpoints = [np.array(kpt) for kpt in self.kpoint_opt_props.actual_kpoints] + kpoints = [np.array(kpt) for kpt in self.kpoints_opt_props.actual_kpoints] else: kpoints = [np.array(kpt) for kpt in self.actual_kpoints] @@ -913,8 +912,8 @@ def get_band_structure( nkpts = len(kpoints) if use_kpoints_opt: - eig_vals = self.kpoint_opt_props.eigenvalues - projected_eig_vals = self.kpoint_opt_props.projected_eigenvalues + eig_vals = self.kpoints_opt_props.eigenvalues + projected_eig_vals = self.kpoints_opt_props.projected_eigenvalues else: eig_vals = self.eigenvalues projected_eig_vals = self.projected_eigenvalues @@ -1219,7 +1218,7 @@ def as_dict(self): ] vin["kpoints"]["actual_points"] = actual_kpts vin["nkpoints"] = len(actual_kpts) - if kpt_opt_props := getattr(self, "kpoint_opt_props", None): + if kpt_opt_props := getattr(self, "kpoints_opt_props", None): vin["kpoints_opt"] = kpt_opt_props.kpoints.as_dict() actual_kpts = [ { @@ -1600,7 +1599,7 @@ def __init__( parsed_header = False in_kpoints_opt = False self.eigenvalues = self.projected_eigenvalues = None - self.kpoint_opt_props = None + self.kpoints_opt_props = None for event, elem in ET.iterparse(file, events=["start", "end"]): tag = elem.tag if event == "start": @@ -1633,9 +1632,9 @@ def __init__( parsed_header = True elif tag == "i" and elem.attrib.get("name") == "efermi": if in_kpoints_opt: - if self.kpoint_opt_props is None: - self.kpoint_opt_props = KpointOptProps() - self.kpoint_opt_props.efermi = float(elem.text) + if self.kpoints_opt_props is None: + self.kpoints_opt_props = KpointOptProps() + self.kpoints_opt_props.efermi = float(elem.text) in_kpoints_opt = False else: self.efermi = float(elem.text) @@ -1644,22 +1643,22 @@ def __init__( elif parse_projected_eigen and tag == "projected" and not in_kpoints_opt: self.projected_eigenvalues, self.projected_magnetisation = self._parse_projected_eigen(elem) elif tag == "eigenvalues_kpoints_opt" or tag == "projected_kpoints_opt": - if self.kpoint_opt_props is None: - self.kpoint_opt_props = KpointOptProps() + if self.kpoints_opt_props is None: + self.kpoints_opt_props = KpointOptProps() in_kpoints_opt = False # projected_kpoints_opt includes occupation information whereas # eigenvalues_kpoints_opt doesn't. - self.kpoint_opt_props.eigenvalues = self._parse_eigen(elem.find("eigenvalues")) + self.kpoints_opt_props.eigenvalues = self._parse_eigen(elem.find("eigenvalues")) if tag == "eigenvalues_kpoints_opt": ( - self.kpoint_opt_props.kpoints, - self.kpoint_opt_props.actual_kpoints, - self.kpoint_opt_props.actual_kpoints_weights, + self.kpoints_opt_props.kpoints, + self.kpoints_opt_props.actual_kpoints, + self.kpoints_opt_props.actual_kpoints_weights, ) = self._parse_kpoints(elem.find("kpoints")) elif parse_projected_eigen: # and tag == "projected_kpoints_opt": (implied) ( - self.kpoint_opt_props.projected_eigenvalues, - self.kpoint_opt_props.projected_magnetisation, + self.kpoints_opt_props.projected_eigenvalues, + self.kpoints_opt_props.projected_magnetisation, ) = self._parse_projected_eigen(elem) elif tag == "structure" and elem.attrib.get("name") == "finalpos": self.final_structure = self._parse_structure(elem) @@ -1700,7 +1699,7 @@ def as_dict(self): for i in range(len(self.actual_kpoints)) ] vin["kpoints"]["actual_points"] = actual_kpts - if kpt_opt_props := getattr(self, "kpoint_opt_props", None): + if kpt_opt_props := getattr(self, "kpoints_opt_props", None): vin["kpoints_opt"] = kpt_opt_props.kpoints.as_dict() actual_kpts = [ { diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 3b5a5a2853b..47f0580bb2b 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -712,7 +712,7 @@ def test_eigenvalue_band_properties_separate_spins(self): def test_kpoints_opt(self): vasp_run = Vasprun(kpts_opt_vrun_path, parse_projected_eigen=True) # This calculation was run using KPOINTS_OPT - kpt_opt_props = vasp_run.kpoint_opt_props + kpt_opt_props = vasp_run.kpoints_opt_props # Check the k-points were read correctly. assert len(vasp_run.actual_kpoints) == 10 assert len(vasp_run.actual_kpoints_weights) == 10 From 6c5d4453194cca01eab718fe4c3a9b5c2f2cbafc Mon Sep 17 00:00:00 2001 From: Janosh Riebesell Date: Fri, 23 Feb 2024 12:17:55 +0100 Subject: [PATCH 22/22] fix mypy --- pymatgen/io/vasp/outputs.py | 2 +- tests/io/vasp/test_outputs.py | 7 +++---- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/pymatgen/io/vasp/outputs.py b/pymatgen/io/vasp/outputs.py index 870f41c8c00..23fceb0cbd4 100644 --- a/pymatgen/io/vasp/outputs.py +++ b/pymatgen/io/vasp/outputs.py @@ -150,7 +150,7 @@ class KpointOptProps: efermi: float | None = None eigenvalues: dict | None = None projected_eigenvalues: dict | None = None - projected_magnetisation: np.array | None = None + projected_magnetisation: np.ndarray | None = None kpoints: Kpoints | None = None actual_kpoints: list | None = None actual_kpoints_weights: list | None = None diff --git a/tests/io/vasp/test_outputs.py b/tests/io/vasp/test_outputs.py index 47f0580bb2b..7c9fe266be8 100644 --- a/tests/io/vasp/test_outputs.py +++ b/tests/io/vasp/test_outputs.py @@ -727,9 +727,9 @@ def test_kpoints_opt(self): assert vasp_run.projected_eigenvalues[Spin.up].shape == (10, 24, 8, 9) assert kpt_opt_props.projected_eigenvalues[Spin.up].shape == (100, 24, 8, 9) assert vasp_run.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0492) - assert kpt_opt_props.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0000) # I think these zeroes are a bug in VASP (maybe my VASP) transcribing from PROCAR_OPT to vasprun.xml # No matter. The point of the parser is to read what's in the file. + assert kpt_opt_props.projected_eigenvalues[Spin.up][0, 1, 0, 0] == approx(0.0000) # Test as_dict vasp_run_dct = vasp_run.as_dict() assert vasp_run_dct["input"]["nkpoints_opt"] == 100 @@ -1406,9 +1406,8 @@ def test_kpoints_opt(self): # is to test the parser, not VASP. projected = bs.get_projections_on_elements_and_orbitals({"Si": ["s"]}) assert projected[Spin.up][0][58]["Si"]["s"] == -0.0271 - d = vasp_run.as_dict() - assert "eigenvalues" in d["output"] - assert "eigenvalues_kpoints_opt" in d["output"] + vrun_dct = vasp_run.as_dict() + assert {*vrun_dct["output"]} >= {"eigenvalues", "eigenvalues_kpoints_opt"} class TestOszicar(PymatgenTest):

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